MCBOpen Access

Open Access

Article

Machine learning-based prediction model for sports injury risk in biomechanics: A case study of joint injuries in basketball at a university in Xi’an

Liang Min, Nan Li, Peng Bi, Bo Gao

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 796 , 2024, DOI: 10.62617/mcb796

Abstract：

Basketball players are prone to joint injuries due to the sport’s high intensity and physical demands. Early prediction of injury risk is crucial for implementing effective prevention strategies. Incorporating biomechanics, this study focuses on basketball players at a university in Xi’an, China, aiming to develop a machine learning-based model to predict joint injury risk using easily collectable data such as training load, fatigue levels, and previous injury history. Considering regional differences, we observed that local and northern Chinese students are generally taller, while students from southern China are typically shorter. This anthropometric variation was included in our sampling and analysis. Utilizing data from 100 basketball players, the Random Forest algorithm achieved the best predictive performance with an accuracy of 85%. Key risk factors identified include high training load, elevated subjective fatigue scores, and a history of previous joint injuries. Additionally, biomechanical data were integrated to elucidate the underlying mechanisms of joint injuries, and the cellular responses to injury were explored. The results demonstrate that even with limited data types, machine learning methods can effectively predict joint injury risk among basketball players, providing a valuable tool for injury prevention.

Open Access

Article

Construction of tennis pose estimation and action recognition model based on improved ST-GCN

Yang Yu

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 605 , 2024, DOI: 10.62617/mcb605

Abstract：

With the rapid growth of computer vision and deep learning technologies, the application of pose estimation and action recognition in sports training has become increasingly widespread. Due to factors such as complex movements, fast speed, and limb occlusion, pose estimation and action recognition in tennis face significant challenges. Therefore, this study first introduces selective dropout and pyramid region of interest pooling layer strategies in fast region convolutional neural networks. Secondly, a pose estimation algorithm based on multi-scale fusion pose residual network 50 is designed, and finally a spatiotemporal graph convolutional network model is constructed by fusing channel attention module and multi-scale dilated convolution module. The data showed that the average detection accuracy of the improved attitude residual network 50 was 70.4%, and the accuracy of object detection for small, medium, and large objects was 57.4%, 69.3%, and 79.2%, respectively. The continuous action recognition accuracy and inter action fluency detection time of the improved spatiotemporal graph convolutional network were 93.8% and 19.2 ms, respectively. When the sample size was 1000, its memory usage was 1378 MB and the running time was 32.7 ms. Experiments have shown that the improved model achieves high accuracy and robustness in tennis action recognition tasks, especially in complex scenes and limb occlusion conditions, where the model shows significant advantages. This study aims to provide an efficient and accurate motion recognition technology for tennis posture analysis and intelligent training.

Open Access

Article

Comprehensive assessment of lower limb alignment and forces during dance landings under fatigue

Cheng Tian, Yeping Wang, Dingfang Zhang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 531 , 2024, DOI: 10.62617/mcb531

Abstract：

This study investigates the impact of fatigue on Lower Limb Alignment (LLA) and Ground Reaction Forces (GRF) during dance landings, intending to understand how fatigue-induced changes affect joint mechanics and stabilization in trained dancers. Thirty dancers (mean age: 23.4 years) with a minimum of three years of training in high-impact dance forms, such as ballet and contemporary dance, participated in the study. A within-subject experimental design assessed each participant’s landing mechanics before and after a fatigue-inducing protocol. Kinematic data were captured using a 3D motion capture system, while kinetic data were recorded with force plates. Joint angles at the hip, knee, and ankle were measured during the landing’s initial contact, peak force, and stabilization phases. Vertical and medial-lateral GRF and time to stabilization (TTS) were also analyzed pre- and post-fatigue. The fatigue protocol consisted of plyometric exercises and repetitive dance-specific movements designed to mimic the physical demands of a dance performance. Measurements were taken immediately after the fatigue protocol and at intervals of 15 min, 1 h, 24 h, and 48 h post-fatigue to assess both immediate and delayed effects of fatigue. Significant changes in joint angles were observed across all phases of the landing. Post-fatigue, hip and knee flexion increased significantly at initial contact (hip: +2.7°, knee: +3.6°, p < 0.05), reflecting compensatory adjustments for impact absorption. Ankle dorsiflexion also increased significantly during stabilization (+2.7°, p = 0.028). Vertical GRF increased across all phases post-fatigue (initial contact: +4.4 N/kg, p = 0.009), indicating a reduced ability to absorb impact forces efficiently. TTS was significantly prolonged at all post-fatigue intervals, particularly within the first 15 min post-exertion (+34 ms, p = 0.008), suggesting impaired neuromuscular control and balance.

Open Access

Article

Biomechanical analysis and optimization of sports action training in virtual reality (VR) environment

Jianfeng Deng

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 394 , 2024, DOI: 10.62617/mcb394

Abstract：

Over the past years, virtual reality (VR) has become much more popular. VR combines several technologies to provide an immersive digital environment. This environment allows users to engage and react to their actions, creating a virtual world where users feel more present. In biomechanical analysis, researchers analyze the physical characteristics of biological tissues and model the relationship between tissue form and function. Utilizing VR headsets, motion-tracking apparatus, and realistic virtual worlds that simulate actual sports situations are all part of virtual sports training. VR lacks realism, which can be related to the absence of sensory input, making it unsuitable for training fine motor skills. The research aims to perform biomechanical analysis and optimize sports action training inside a VR setting. A mountain gazelle optimizer fine-tuned adjustable convolution neural network (MGO-ACNN) is proposed to examine the joint angle selections utilized by sports action. In this study, human motion image data are utilized to capture various angles of the training action. The data was preprocessed using a Wiener Filter (WF) for the obtained data. Analyzing spatial frequency and orientation in images for feature extraction is accomplished using the Gabor Filter (GF). This approach incorporates VR simulations to provide a more regulated and immersive setting for joint angle analysis during sports training. The proposed method is implemented using Python software. The result demonstrated by the proposed method significantly outperforms the existing algorithms. The performance parameters for accuracy (99.73%), precision (99.75%), recall (99.73%), and F1-score (99.72%) are assessed in this study. The VR experiments indicate that optimal sports preparation involves a sports action while maintaining a batting speed consistent with the joint to lower the center of gravity. This research highlights the more effective, personalized sports training system, leveraging VR to simulate real-world conditions while providing detailed biomechanical insights.

Open Access

Article

Evaluation of the effect of biofeedback system driven by optoelectronic conjugate materials in VR exercise rehabilitation

Ying Wang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 628 , 2024, DOI: 10.62617/mcb628

Abstract：

Presently, Exercise Rehabilitation is crucial to restoring and improving a person’s well-being in physical fitness. The present research investigates the significance of Optoelectronic Conjugate Materials (OCM) in Biofeedback Systems to enhance the effectiveness of Virtual Reality (VR) Exercise Rehabilitation. This work presents the Design of Biofeedback System-driven Optoelectronic Conjugate Materials (DBS-OCM), which offers a novel methodology to enhance VR Exercise Rehabilitation. The DBS-OCM framework amalgamates synthesis and material characterization techniques for tissue healing during VR Exercise Rehabilitation. The present research aims to elucidate a resistance trainer’s design and preparation methodology during the Evaluation of the Effect of a Biofeedback System Driven by OCM. This approach seeks to optimize the flexibility of the system to cater to individual requirements during VR Exercise Rehabilitation. The experimental findings demonstrate notable advancements, including a 93.9% augmentation in tissue regeneration, a 95.5% enhancement in the efficacy of resistance training, and a 95.5% boost in involvement during virtual reality exercise. The results highlight the DBS-OCM’s capacity to enhance the Biofeedback System’s efficiency Driven by Optoelectronic Conjugate Materials in VR Exercise Rehabilitation. These findings provide essential insights that have the potential to shape future research endeavors and facilitate the development of practical applications in the domain of VR Exercise Rehabilitation.

Open Access

Article

Application of spatial metrology models in cell molecular localization and functional prediction

Hongtao Wang, Yulei Wang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 432 , 2024, DOI: 10.62617/mcb432

Abstract：

Understanding a protein’s exact cellular location is often essential to understanding its function. Even with the advancements in computer approaches, protein localization prediction indeed faces major obstacles such as interpretability and handling numerous localization sites. In this research, a novel approach, Squirrel Search Optimized Dynamic Visual Geometry Group Network (SSO-DVGG), is proposed to improve protein sub-cellular localization predictions by utilizing spatial metrology models to tackle these problems. With its simplified architecture, SSO-DVGG can explain whether a protein is directed to particular cellular sites, as well as identify important sequence components like sorting motifs or localization signals. This model allows users to select acceptable error levels by providing a confidence estimate for each prediction and highlighting sequence properties that are responsible for localization. This makes the model interpretable. Furthermore, SSO-DVGG uses a probabilistic methodology and integrates a large amount of data from dual-targeted proteins, which enables it to predict multiple localization locations per protein accurately. SSO-DVGG outperforms the best predictors and shows superior capacity to predict multiple localizations when tested on several independent datasets. By providing a clear and accurate understanding of protein distribution and function, this method promotes the application of spatial metrology models in cell molecular localization and functional prediction.

Open Access

Article

Sports training posture recognition method based on Kinect body sensor and internet of things technology

Jie Rong, Huijuan Dong, Lei Wang, Hongxia Sun

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 747 , 2024, DOI: 10.62617/mcb747

Abstract：

Most of the routine sports training posture recognition uses the principle of image processing method, which has strong limitations, and there is a problem of data loss in the recognition process. The recognition error is large, which reduces the accuracy of the recognition results. Based on this, a new method of sports training posture recognition is proposed by introducing Kinect body sensor and Internet of Things technology. First, the mathematical description method is used to model the human body in three dimensions to represent the continuous posture changes of the trainer. Secondly, Kinect somatosensory sensor and the Internet of Things technology collect the sports training action information of trainers, track and capture the movement of limbs and the whole body, and extract the sports training behavior characteristics of the recognized people. On this basis, the recognition algorithm of sports training posture is designed to achieve the goal of sports training posture recognition. The experimental results show that after the application of the new method, the recognition error of sports training posture is small and the recognition accuracy is high.

Open Access

Article

Cardiac function monitoring during marathon training based on smart medical wearable sensor device

Hongjuan Cai, Miao Cai

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 627 , 2024, DOI: 10.62617/mcb627

Abstract：

In recent years, intelligent wearable sensor devices have developed rapidly and can be seen everywhere in daily life. With the rapid development of electronic components and the continuous improvement of their performance, intelligent wearable intelligent products have gradually become possible and have shown explosive growth. In addition, intelligent wearable electronic devices have many advantages that traditional devices do not have. With the popularity of fitness wearable devices, intelligent wearable devices can also be used for real-time heart rate and dynamic electrocardiogram (ECG) monitoring during marathon sports. It can effectively prevent sudden death. During marathon training and other health services, it is very important to use intelligent wearable sensor devices to monitor heart function. This paper puts forward a heart function monitoring system for marathon training based on intelligent wearable sensor, expounds the origin of marathon sports and the importance of heart function monitoring for marathon athletes during training. This paper discusses the technology and construction method of heart rate monitoring system based on intelligent wearable sensor device. At the same time, relevant experiments are carried out to verify the relevant performance of the intelligent wearable sensor device in the algorithm. The results show that the R wave detection accuracy of wearable devices based on traditional algorithms is usually between 92% and 93%. The R wave detection accuracy of the intelligent wearable sensor device improved by the algorithm in this paper has been improved to more than 97%, and the R wave detection accuracy of the algorithm in this paper is much higher than that of the traditional algorithm. This also reflects the effectiveness of the intelligent wearable sensor device of the algorithm during the training of marathon athletes.

Open Access

Article

Characteristic extraction of Tai Chi movement data—Based on self-powered wearable sensors

Ruijie Zhang, Chunlei Xue, Zijie Sun, Kim Junhee, Yunna Liu

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 848 , 2024, DOI: 10.62617/mcb848

Abstract：

Although visual recognition has good recognition accuracy, it brings great hidden danger of privacy leakage. Although signal recognition has the advantages of device-free and privacy protection, it is sensitive to environmental noise and is not suitable for crowded environment, so sensor-based human behavior recognition is a more feasible choice. Therefore, this paper proposes a multi-level decision behavior recognition method based on self-powered wearable sensor fusion. In this paper, we propose a CM-WOA-based automatic dynamic sensor deployment optimization method for the feature extraction of Tai Chi action data. In behavior recognition based on wearable sensors, different deployment schemes of self-powered wearable sensors, will lead to different recognition accuracy, However, the traditional empirical deployment scheme cannot guarantee the best sensor layout. In order to further improve the recognition accuracy. In this paper, we propose a CM-WOA-based autodynamic sensor deployment optimization method for the feature extraction of Tai Chi action data, so as to find a balance between recognition accuracy and sensor deployment cost, and deploy as few sensors as possible on the premise of maximizing recognition accuracy. Finally, by comparing the scheme proposed in this paper with the other seven schemes, The feature extraction and recognition rate of Taijiquan movement data based on self-powered wearable sensor can reach 94%, which proves that the proposed multi-sensor deployment optimization method based on CM-WOA is effective in improving the overall recognition rate of the recognition model.

Open Access

Article

Advancing an ecological framework for English language teaching in web-based environments

Fangyin Tong

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 709 , 2024, DOI: 10.62617/mcb709

Abstract：

As English language teaching (ELT) adapts to the digital age, web-based environments present new challenges for achieving an ecologically balanced instructional ecosystem. Applying an educational ecology framework, this study examines the structural and functional dynamics within web-based ELT, viewing the digital classroom as a biomechanical system where information flow, interaction forces, and adaptation mechanisms play crucial roles. By integrating Data Mining (DM) technology, the study evaluates ELT efficiency from an ecological standpoint, aiming to enhance both student engagement and learning outcomes through optimized instructional dynamics. Findings indicate that the applied algorithm achieves an accuracy of 95.27%, with system stability maintained above 90% under high parallel processing loads, demonstrating the robust performance of this approach. Ultimately, this paper contributes to the development of an ecologically balanced, web-based ELT model, supporting educators in creating adaptable, resilient digital learning environments.

Open Access

Article

Biomechanics of physical exercise: A data-driven approach to enhancing mental health in college students

Hai-zhen He

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 678 , 2024, DOI: 10.62617/mcb678

Abstract：

With growing awareness of the importance of mental health, the biomechanical mechanisms of physical exercise have gained attention as an effective intervention for improving mental well-being, particularly among college students. Physical activity not only enhances physical fitness and disease resistance but also contributes to cognitive and emotional health through specific biomechanical pathways. This study explores the interplay between exercise biomechanics and mental health by investigating the psychological challenges faced by college students. Utilizing advanced data analysis and correlation techniques, we refine the Apriori algorithm through a novel database partitioning strategy, achieving a 23.68% improvement in accuracy and a 10.17% reduction in runtime compared to the baseline. Additionally, this study examines how biomechanical factors, such as joint movement and muscle activity, influence brain function and mental health outcomes. The findings offer innovative perspectives for integrating biomechanical insights into mental health education and exercise-based interventions for college students.

Open Access

Article

Risk prediction of computer investment database information management system based on machine learning algorithms

Yi Guo

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 920 , 2024, DOI: 10.62617/mcb920

Abstract：

In recent years, with the continuous development of the financial market, the risk prediction of computer investment database information management systems (IMS) has high practical value. At present, there are risk issues in the information management system, which may cause drawbacks to investment data processing. To address these issues, this article used Machine Learning (ML) algorithms to analyze the risk prediction of computer investment database IMS. This article introduced and utilized typical Self-Organizing Map (SOM) and Artificial Neural Network (ANN) combination algorithms, regression algorithms, and Gradient Boosting Decision Tree (GBDT) algorithms to compare and analyze the prediction accuracy of these three algorithms. This article found that the GBDT algorithm has the highest prediction accuracy. Through a large amount of experimental data, it has been proven that the average testing accuracy using regression algorithms was 3.5% higher than that using neural network algorithms. It was found that the average test accuracy using the GBDT algorithm was 7.2% higher than the average test accuracy using the regression algorithm. The study also explores the combination of physiological and behavioral data collected by wearable devices to provide more comprehensive risk assessment and decision support, which provides an important reference for the optimization of enterprise risk management. Through this innovative data source integration, this paper provides a new perspective for the application and development of machine learning algorithms in computer investment database IMS.

Open Access

Article

High sensitivity detection of influenza virus using polymer-coated microcavity biosensor

Yuanyuan Wang, Shihao Cui, Yuchao Gu

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 642 , 2024, DOI: 10.62617/mcb642

Abstract：

Influenza viruses are a major global public health concern because they cause seasonal epidemics and sporadic pandemics. The sensitivity and specificity of viral detection can be improved through recent developments in biosensor technology. The capacity of microcavity biosensors to detect biomolecules, including viruses, in real-time without requiring labels caused interest among them. In this study, we present a novel polymer-coated microcavity biosensor for the high-sensitivity detection of the H1N1 influenza virus. The main microcavity structure of this label-free biosensor is intended to improve sensitivity by optimizing performance characteristics specific to viral samples. The simulation indicates the microcavity resonator’s outstanding sensitivity in H1N1. Our biosensor efficiently detects H1N1 at lower concentrations than conventional diagnostic techniques by utilizing a polymer coating that improves binding affinity and encourages the immobilization of certain antibodies. Using the polymer layer enhances the sensor’s functionality and confers biocompatibility, opening up possible uses in point-of-care environments. The polymer-coated microcavity biosensor, according to our research, is a potential platform for early, sensitive, and quick influenza virus detection, greatly assisting with public health response and monitoring activities.

Open Access

Article

Ice and snow sports behavior recognition based on multi-scale features and improved CBAM

Chunping Liu

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 602 , 2024, DOI: 10.62617/mcb602

Abstract：

Accurately identifying and correcting erroneous sports behaviors of athletes or beginners in ice and snow sports can improve the training quality. However, ice and snow sports scenes often have complex motion backgrounds, and the behavioral features during motion are difficult to extract, which affects the recognition accuracy. In order to solve the feature extraction in ice and snow sports behavior recognition, a behavior recognition model based on multi-scale features and improved convolutional block attention module is proposed. The model first utilizes multi-scale features to obtain multi-level features from the collected ice and snow motion images, ensuring that features of different scales in the images can be effectively captured. Then, one-dimensional convolution and spatial random pooling layers are introduced to improve the convolutional attention module, thereby constructing a behavior recognition model. The accuracy of the proposed model in the Ski-Pose dataset was 98.3%, which was 8.2% and 13.7% higher than other recognition models, indicating an obvious gap. The accuracy and F 1 value were 89.5% and 91.2%, respectively, and the recognition rate for small targets reached 80%, which verified the effectiveness of the model. The research provides new technological support for intelligent monitoring and analysis systems for ice and snow sports.

Open Access

Article

Disturbance decoupling for biological fermentation systems with single input single output

Hongjie Li, Dandan Wang, Mingliang Zheng

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 847 , 2024, DOI: 10.62617/mcb847

Abstract：

The biological fermentation process has the characteristics of nonlinearity and multivariable coupling. To improve the performance of decoupling control in the fermentation process, a disturbance decoupling control based on the Lie symmetry method is proposed to obtain the analytical feedback control for a class of biological fermentation systems with single input single output (SISO). Firstly, the state-space equations and the disturbance decoupling model for a class of SISO biological fermentation systems are defined; Secondly, the key technologies and algorithm approaches of Lie symmetry theory for differential equations are introduced, and the conditions and the properties of Lie symmetry for nonlinear control systems under group action are given in detail; Finally, the derived distribution of Lie symmetric infinitesimal generators is used to prove the sufficient conditions for local disturbance decoupling in the system, and the closed-loop state feedback analytical law of the system is constructed. The proposed control method is applied to the disturbance decoupling control of mycelium concentration and substrate concentration in the biological fermentation process. Numerical simulation results show that the proposed control method can effectively improve the system decoupling control performance. Meanwhile, using Lie symmetry, the cascade decoupling standard form and the static state feedback law of biological fermentation systems can be constructed.

Open Access

Article

Biomechanical insights into goalkeeper preparatory movements during defensive dives for football shots

Yuefeng Jin

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 824 , 2024, DOI: 10.62617/mcb824

Abstract：

The kinetic demands of a football goalkeeper (GK) involve preventing opposing shots from entering the goal, which requires rapid and well-coordinated defensive actions. However, the biomechanics of these preparatory movements, particularly in response to diverse shot scenarios, remain insufficiently understood. Herein, the biomechanical characteristics intrinsic to the preparatory movements executed by GKs during defensive diving are elucidated. Three-dimensional coordinate data of the 10 GKs and 5 strikers were captured using two synchronized motion capture systems comprising cameras with an analog synchronization signal. A total of 172 trials were analyzed, during which GKs dived toward shots. GKs leaned forward, flexed their lower limbs, externally rotated and abducted the hips, and positioned their feet at 70–75% of leg length to respond quickly to shots. Preparatory takeoff occurred concurrently with the striker support leg contact, and GKs adjusted their movements after the striker-ground contact. These findings underscore the importance of effective preparatory movements for enhancing shot-stopping abilities, while also providing insights for optimizing training protocols to improve GKs adaptability and precision during matches.

Open Access

Article

Research on real-time collection and analysis of student health and physical fitness data using biosensors

Yuliang Zhou

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 625 , 2024, DOI: 10.62617/mcb625

Abstract：

Biosensors have emerged as efficient devices for monitoring personal fitness levels and health profiles as an important part of this technological development. With growing concern about students’ health and bodily fitness, educational and health experts as well as lawmakers have increasingly emphasized their importance. The goal of the study is to explore a real-time system for collecting and analyzing data on students’ physical fitness and health utilizing biosensors and advanced algorithms. The study proposed a novel Efficient Osprey Optimized Adjustable Random Forest (EOO-ARF) to predict the student health and physical fitness level. The student health and physical fitness data was gathered from a Kaggle source. To gather information using wearable biosensors to constantly monitor crucial health parameters such as blood oxygen levels, body temperature, heart rate, and physical activity. The data was pre-processed using the Z -score normalization to enhance the quality of the data. The Principal Component Analysis (PCA) was used to extract the features from pre-processed data. This model takes the indices of students’ physical health as the input parameters and produces an overall health score. EOO is used for optimization, and the process aims at selecting the most appropriate features to identify the health metrics most relevant to influencing students’ general fitness levels. ARF is applied to predict the health and fitness levels of students. The performance of the suggested approach is evaluated in terms of F1-score (98.13%), recall (98.2%), and accuracy (98.44%). The integration of biosensors with innovative analytic methods could transform the monitoring and improvement of the physical fitness and health of students take place in real-time.

Open Access

Article

Research on optimization and design of sports teaching actions based on biomechanics

Xiaojing Yang, Sunkai Qi

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 495 , 2024, DOI: 10.62617/mcb495

Abstract：

The design of sports teaching approaches is an important part of improving athletic performance and skill development among players. As sports grow more competitive, the demand for new and effective teaching methods has never been higher. The limitations of conventional coaching techniques sometimes depend on anecdotal evidence and subjective assessments, which provide inconsistent outcomes for training. The purpose of this study is to enhance athletic performance and reduce injury risks by developing sports teaching actions based on biomechanics. The proposed novel chaos sparrow search fine-tuned efficient random forest (CSS-ERF) employed the relationship between biomechanical parameters and performance outcomes. Biomechanical data was gathered from athletes utilizing wearable sensors and motion capture technologies as they performed several sports-related activities. The data preprocessing will be cleaned to remove noise and outliers from the dataset. Ground Reaction Forces (GRF) are used to extract key features relevant to performance and injury risk from the preprocessed data. Findings show that training strategies and athlete performance have significantly improved, and the CSS-ERF model has demonstrated a high degree of accuracy in forecasting the best biomechanical configurations with an F 1 value of 0.984, accuracy of 0.989, recall of 0.985, and precision of 0.986. By offering an innovative approach to enhancing sports actions through biomechanical insights and promoting a greater comprehension of movement mechanics and their impact on athletic performance, this research advances the area of sports science.

Open Access

Article

A Chinese sign language recognition system combining attention mechanism and acoustic sensing

Yuepeng Shi, Yansheng Wu, Qian Li, Junyi Zhang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 793 , 2024, DOI: 10.62617/mcb793

Abstract：

In recent years, with the widespread popularity of smart devices and the rapid development of communication and artificial intelligence technologies, sign language gestures that can break the communication barriers between ordinary people and those with speech and hearing impairments have received much attention. However, existing human gesture recognition methods include wearable device-based, computer vision-based and Radio Frequency (RF) signal-based. These methods have problems of being difficult to deploy, violating user privacy, and being susceptible to ambient light. Compared with the above methods, using ultrasonic signals to sense sign language gestures has the advantages of not violating user privacy and not being affected by ambient light. For that purpose, we use the built-in speaker and microphone of a smartphone to send and receive ultrasonic signals to recognize sign language gestures. In order to recognize fine-grained sign language gestures, we calculate the Channel Impulse Response (CIR) induced by the sign language action as a sign language gesture special. After that, we compute first-order differences along the time dimension of the Channel Impulse Response matrix to eliminate static path interference. Finally, a convolutional neural network containing convolutional layers, spatial attention, and channel attention is passed in order to recognize sign language gestures. The experimental results show that the scheme has a recognition accuracy of 95.2% for 12 sign language interaction gestures.

Open Access

Article

Before and after core strength training: A comparison of smash technique between badminton players

Hongkai Zhou

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 296 , 2024, DOI: 10.62617/mcb296

Abstract：

Objective: This paper aims to investigate the impact of core strength training on the smash technique in badminton. Methods: Twenty male badminton players were randomly assigned to Group A (core strength training) and Group B (conventional waist and abdominal strength training). They underwent training from 15:00 p.m. to 17:00 p.m. on Monday, Wednesday and Friday. Group A did core strength training exercises such as four-point support and cross-body crunch. Core strength, balance, and related indicators of the smash technique were measured before and after a 12-week experiment for comparative analysis. Results: Before the experiment, there were no significant differences in the indicators between the two groups ( p > 0.05). However, after the experiment, Group A achieved a badminton throw performance of 8.61 ± 0.75 m, a 30s double-rocking rope skipping performance of 48.67 ± 3.77, an one-minute sit-up performance of 58.24 ± 3.71, an eight-level abdominal bridge performance of 3.38 ± 8.15 points, a closed-eye single-foot standing time of 56.12 ± 12.35s, a closed-eye straight-line walking displacement of 17.78 ± 10.12 cm, a batting speed of 145.12 ± 5.97 km/h, and a landing point stability of 34.22 ± 2.31 points, which showed significant differences compared to the performance before the experiment. It also performed better than Group B except for the eight-level abdominal bridge. Conclusion: The results indicate that athletes who undergo core strength training show significant improvements in physical fitness and smash ability, proving the reliability of core strength training and its practical application in training.

Open Access

Article

AET-net: A framework for subtype classification based on the multi-omics data of breast cancer

Qiaosheng Zhang, Yalong Wei, Jie Hou, Junjie Xu, Zhenyu Sun, Heng Zhang, Zhaoman Zhong

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 785 , 2024, DOI: 10.62617/mcb785

Abstract：

Breast cancer (BC) is one of the most prevalent cancers worldwide and remains a significant global public health challenge. The biomechanical characteristics of tumor microenvironments provide critical insights into cellular interactions and mechanical stress responses that potentially influence cancer progression. The integration and analysis of multi-omics data for BC subtype classification present substantial challenges, including high-dimensional data complexity and difficulties in integrating heterogeneous omics data characteristics. To address these challenges, we propose an Autoencoder and Transformer integrated neural network (AET-net) classification framework. The experimental results demonstrate that our model achieves significant performance improvements in predicting BC subtypes based on integrated multi-omics datasets, with an Accuracy of 0.912 and an AUC of 0.9862. These results not only validate the high accuracy of our model in BC subtype classification, providing a valuable tool for diagnostic decision support, but also demonstrate the potential of integrated multi-omics data analysis in enhancing the precision and efficiency of BC subtype identification.

Open Access

Article

Digital technology integration innovation and visual symbol design of Huizhou ink painting skills under bioengineering

Yuqing Xia, Kun Xing

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 672 , 2024, DOI: 10.62617/mcb672

Abstract：

In response to the problems of insufficient interactive experience and unstable inheritance caused by information loss and deformation in the teaching process of Huizhou ink painting skills, this article explores a new method to protect and inherit Huizhou ink painting skills through the integration of biotechnology and digital technology. At the same time, a modern visual symbol design is developed to revitalize this ancient art form in contemporary society and promote its dissemination and exchange worldwide. Firstly, traditional Huizhou ink painting materials were analyzed using biotechnology to understand their composition, structure, and aging mechanism. Scientific and effective protective measures were proposed, and a database was constructed by collecting and matching images of each step in the process. Then use 3D modeling to model the manufacturing tools. By extracting visual elements from micro ink artwork images, drawing basic graphics, and completing visual symbol design. Finally, integrate Unity and Vuforia Engine to design an interactive experience module for Weizhou ink painting production skills, creating an immersive digital interactive environment. In the improved micro ink production process experience display experiment, compared with the existing graphic and textual display methods, the audience's satisfaction and innovation scores for the digital integration method were 19.1% and 21.6% higher, respectively. The conclusion indicates that bioengineering analysis can accurately identify and delay the aging process of ink painting materials, while digital technology has successfully achieved high-quality digital reconstruction of classic works.

Open Access

Article

Digital infrastructure and cognitive ability of children

Haojian Dui

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 769 , 2024, DOI: 10.62617/mcb769

Abstract：

Digital technologies have become an integral part of most children’s lives, significantly influencing their development. This study takes the Broadband China Pilot Policy as a quasi-experiment, using the data from China Family Panel Studies (CFPS) to analyze the effects of digital infrastructure on children’s cognitive ability. The extended two-way fixed effects estimator was employed to conduct the Staggered Difference-in-Differences estimation. The findings indicate that the average treatment effect of treatment group of “Broadband China” is significantly positive on children’s cognitive ability. Additionally, heterogeneities of gender and urban-rural were found: (1) The Broadband China policy had a significant positive impact on boys only; (2) The policy had a greater and more significant impact on the word test scores results of urban children; (3) The policy had a negative impact on the math test scores of urban children, while showing a positive impact on the math test scores of rural children. Finally, the paper makes the following recommendations: (1) Digital infrastructure development should be emphasized; (2) More emphasis should be placed on rural areas when building digital infrastructure; (3) Gender differences should be considered when formulating policies to help girls benefit from digital technologies.

Open Access

Article

Teaching strategies for resolving gastrointestinal function from the perspective of cell biomechanics

Bo Qian, Zihao Qin, Shuo Liu, Fuzhen Wan, Rui Yu

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 683 , 2024, DOI: 10.62617/mcb683

Abstract：

Traditional gastrointestinal function teaching focuses on biochemical and physiological regulation, but fails to explore the effects of mechanical forces on gastrointestinal cell behavior and function, resulting in students’ one-sided understanding of gastrointestinal function. This paper proposes a new teaching strategy by combining cell biomechanics with teaching to help students master the gastrointestinal function mechanism more comprehensively. First, the membrane elasticity of gastrointestinal smooth muscle cells is measured. The elastic modulus is calculated by combining the Hertz model and the applied force is controlled to avoid cell membrane damage. Elasticity change data is obtained. Then, a flexible substrate is used to apply stretching and low frequency to simulate the mechanical force of cells during peristalsis and monitor the fluctuation of calcium ion concentration. Then, the distribution of intercellular cadherin is analyzed, and mechanical force is used to accelerate the permeability of gap junctions and the expression of Connexin43 to promote signal transmission. Finally, a teaching experiment based on cell biomechanics is designed, covering cell culture, mechanical stimulation, quantitative analysis and molecular biology verification, to help students understand how mechanical forces affect gastrointestinal cell behavior and function. The results show that before and after the application of the cell biomechanics teaching strategy, the students’ test scores increase by 16%, and the experimental results are good. Applying biomechanical factors into teaching by combining teaching strategies with cell biomechanics has a positive effect on medical education.

Open Access

Article

Cognitive and biomechanical interactions in language acquisition: A comparative case study of English and Japanese teaching for nonnative speakers

Dazhi Wu, Juan Lei, Yanzhe Wang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 894 , 2024, DOI: 10.62617/mcb894

Abstract：

This study investigates the interplay between cognitive processes and biomechanical methods in language education, focusing on English and Japanese instruction for Chinese university students. A mixed-methods approach, combining quantitative experiments and qualitative feedback, was employed to evaluate the effectiveness of biomechanical teaching strategies compared to traditional methods. Over a 12-week intervention, students in the experimental group, who experienced biomechanical techniques involving gestures, physical activities, and multi-sensory inputs, consistently outperformed their counterparts in the control group. Notably, the experimental group achieved higher mean scores in vocabulary (English: 85 vs. 75; Japanese: 78 vs. 68), grammar (English: 82 vs. 73; Japanese: 85 vs. 70), and listening comprehension (English: 88 vs. 77; Japanese: 80 vs. 72), with statistically significant differences ( p < 0.01 for most metrics). Additionally, effect sizes (Cohen’s d ) were calculated to determine the practical significance of these findings. The effect sizes ranged from d = 1.60 to d = 2.08, indicating large and practically significant differences between the experimental and control groups. Qualitative data revealed enhanced engagement, memory retention, and motivation among students exposed to biomechanical methods. The cross-linguistic comparison highlighted that English learner benefited most from multi-sensory vocabulary acquisition techniques, while Japanese learners exhibited substantial improvements in grammar and listening comprehension through interactive activities. These findings not only demonstrate the adaptability of biomechanical approaches but also underline their potential for broader application across other languages and cultural settings. For instance, languages with tonal systems, such as Mandarin or Thai, could leverage gesture-based methods to reinforce pitch and tone distinctions, whereas languages with complex morphology, like Arabic or Finnish, might benefit from kinesthetic exercises targeting morphological structures. Furthermore, educational settings with resource constraints can integrate low-cost, physical movement-based interventions, making biomechanics a scalable solution. By tailoring these methods to align with specific linguistic features and cultural learning preferences, educators can enhance their global applicability, paving the way for interdisciplinary innovation in language teaching. The study provides strong empirical evidence supporting the integration of biomechanics into language education, emphasizing its potential to enhance learner performance and satisfaction in a globalized learning environment.

Open Access

Article

Application analysis of sports biomechanics in sprint physical training

Mengmeng Wang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 949 , 2024, DOI: 10.62617/mcb949

Abstract：

Sports biomechanics is a multidisciplinary applied discipline for studying the human motion mechanics, which plays a key role in the scientific research and scientific guarantee of competitive sports. Integrating biomechanics into physical training can better help students master sports skills, complete sports exercises more easily, and minimize the possibility of sports injuries. The application of sports biomechanics is combined with every movement in students’ sports activities, which plays an important role in physical exercise, sports training and teaching. This paper mainly studies the application of biomechanics in sprinting through literature analysis, summarizes the training experience and skills summarized by predecessors using biomechanics in sprinting, and provides athletes and coaches with the best training methods to improve athletes’ understanding and practice of the essentials of movement, thereby improving performance.

Open Access

Article

Identifying sequential differences between protein structural classes using network and statistical approaches

Xiaogeng Wan, Xinying Tan

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 202 , 2024, DOI: 10.62617/mcb202

Abstract：

Protein sequence information is believed to embed the hint of their structures. To uncover the nature between protein sequence and their structures, this study motivates to inspect the dynamic interactions between various protein sequence features, and identify the sequential differences between the different protein structures. Protein sequence data from all structural classes in CATH and SCOP, and the structural disordered proteins from DisProt, as well as the structural motifs in PROSITE, are analyzed in this study. Betweenness and closeness centrality measures are employed to capture the topology of the networks constructed from amino acid feature interactions, while statistical tests are further implemented to compare the feature series distributions. Key findings suggest that in all structural classes, the features for Ala and α-helix and bend preference property, Ala and side-chain size, Ala and Gly, as well as Met and Leu attain significant interactions between each other, and the feature for Leu, Val, and Asn are acted as the critical sources of feature interactions, whereas Cys, His, Trp, and Met exhibit weak intra-type interactions with other features. These implicate that these feature interactions may have little impact in coding the structural differences. For the α structures, Glu, Pro and side-chain size, hydrophobicity properties exhibit high importance in feature interactions, whereas Gly, Thr and physical properties such as α -helix and bend preference, extended structural preference, pK-C value and surrounding hydrophobicity for β structures, show special high importance in β structures. Both α and β types of structures show Ser as the common sources of feature interactions, while the mixed α and β structures not only show common characters with the α and β types of structures, but also preferred interactions between Met, Lys and double-bend preference property, and between the sequence arrangements of Cys, His, Met, Tyr and amino acid composition features. The intrinsically disordered proteins (IDPs) present high frequency for the repetition patterns of certain amino acids, while the different structural motifs also show special characters. More sequential differences between the structures can also be identified from K -mers statistics and feature series distributions. The new discoveries reveal the nature of amino acid feature interaction mechanics, and show great importance of these interactions in coding the different types of protein structures. The results can not only contribute to future molecular design for protein-based vaccine or drug, but also enlighten the development for new protein structural classifiers.

Open Access

Article

COL5A3: A prognostic biomarker and potential therapeutic target in pancreatic cancer

Yongjie Li, Min Zeng, Ting Wang, Feng Jiang, Chengjian Li

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 916 , 2024, DOI: 10.62617/mcb916

Abstract：

Pancreatic cancer is a malignant tumor of the digestive system with a high mortality rate and a poor prognosis. While type V collagen 3 (COL5A3) is extensively expressed in many tumor tissues, its prognostic significance and immune infiltration in pancreatic cancer remain unknown. As a result, we investigated COL5A3’s predictive function in pancreatic cancer and its relationship to immune infiltration. COL5A3 is significantly expressed in pancreatic cancer tissues compared to normal tissues. High COL5A3 expression is associated with poor clinicopathological characteristics and a worse prognosis of pancreatic cancer. The Kaplan-Meier survival analysis revealed that pancreatic cancer patients with high COL5A3 expression had a poorer prognosis than those with low COL5A3 expression. According to the ROC curve, COL5A3 has high sensitivity and specificity in the detection of pancreatic cancer. Correlation studies revealed that COL5A3 mRNA expression is associated with immune cell infiltration. This work indicates for the first time that COL5A3 may be a novel predictive biomarker linked to immune infiltration, providing a new target for pancreatic cancer detection and therapy.

Open Access

Article

Construction of college student’s volleyball functional physical training system based on 5G embedded analysis from the perspective of biomechanics

Xiaoxia Shang, Jinliang Zhao, Cuifeng Gu

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 654 , 2024, DOI: 10.62617/mcb654

Abstract：

In volleyball, the movement and performance of athletes are closely related to biomechanical principles. The process of getting the ball beyond the opponent’s net and landing on the court involves complex biomechanical actions such as jumping, spiking, and blocking. These actions require appropriate muscle activation, joint movement, and force generation. Through a 5G embedded physical training system, college students’ biomechanical performance in volleyball can be effectively monitored and analyzed. For example, the Wireless Sensor Network (WSN) can be used to measure the forces exerted on the body during movements, such as the impact force on the fingers during spiking and blocking, and the stress on the lower back. By analyzing these biomechanical data, problems such as finger injuries and lower back pain can be better understood and addressed. Moreover, the 5G embedded system allows for a detailed analysis of the biomechanical characteristics of different teams and players, enabling coaches and athletes to optimize training strategies. The system can also provide visual feedback on biomechanical parameters, which helps students improve their overall coordination and muscle strength. By incorporating biomechanical analysis into the volleyball physical training system, students can better understand the scientific basis of their movements and improve their performance. Statistical analysis has been carried out effectively based on the study analysis with the existing open-source datasets, providing a quantitative basis for biomechanical research and training optimization.

Open Access

Article

Analysis of cellular and molecular biomechanical correlates in emotional response monitoring via biosensors and their impact on teaching strategy modification in Japanese language instruction

Yongping Chen

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 651 , 2024, DOI: 10.62617/mcb651

Abstract：

Emotion states have a significant impact on language acquisition and learning outcomes. In Japanese language teaching, traditional strategies often overlook students' emotional responses, which can lead to stress and disengagement, affecting performance. To address this, the study focuses on incorporating bio-sensor-based emotional reaction monitoring. At the cellular and molecular biomechanical level, emotions can trigger a cascade of physiological changes. For example, stress can activate the hypothalamic-pituitary-adrenal (HPA) axis, leading to the release of stress hormones like cortisol. These hormonal changes can affect neurotransmitter systems and cellular signaling pathways in the brain, influencing cognitive functions related to language learning. During Japanese language sessions, teachers' emotional states are recorded using surveys and EEG monitoring. The EEG signals can provide insights into the neural activity and related cellular and molecular events. Participants are divided into experimental and control groups. In the experimental group, teaching strategies are adjusted based on emotional monitoring data. The Extreme Gradient Boosting (XGBoost) model classifier is used for EEG signal feature selection to create a stress level identification model. This model can help in understanding the cellular and molecular correlates of stress during teaching. Statistical analysis evaluates the relationship between EEG features and stress levels, as well as the effectiveness of adjusted teaching strategies. Tailored teaching strategies based on these insights can enhance teacher resilience and improve the classroom environment. By considering the cellular and molecular biomechanical aspects of emotions, the study aims to improve teacher well-being and student learning experiences, leading to more effective Japanese language instruction.

Open Access

Article

Comparative analysis of biomechanical characteristics of knee flexion and extension muscles in volleyball physical training

Guishen Yu

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 437 , 2024, DOI: 10.62617/mcb437

Abstract：

This study aimed to analyze the biomechanical characteristics of knee flexion and extension muscles in volleyball physical training from the cellular and molecular biomechanics aspect. Multiple training modes like strength, elasticity, and comprehensive training were chosen to systematically evaluate relevant characteristics of these muscles among volleyball players. Advanced devices such as 3D motion capture systems, ground reaction force platforms, and electromyography equipment were used to gather precise biomechanical data. At the cellular and molecular level, different trainings impact muscle cells differently. For example, strength training might enhance the synthesis of contractile proteins within cells, while elasticity training could influence the elasticity-related molecular structures. With multidimensional data analysis, the effects of various training modes were compared. The comprehensive training group had a kinematic flexion extension angle of 528.27º ± 11.49º, an angular velocity of 135.52º ± 5.97º, and an angular acceleration of 3177.02º ± 116.88º, performing best. This could be due to its comprehensive influence on cellular and molecular processes in muscles, promoting better coordination and force generation. This article offers a theoretical basis for volleyball players to create scientific training plans and gives practical tips for coaches and athletes to optimize programs and prevent injuries. By focusing on cellular and molecular biomechanics, it fills research gaps and helps boost the development of biomechanics in volleyball physical training.

Open Access

Article

Analyzing the influence of physical posture on audience perception in mass media presentations

Yihan Wu

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 622 , 2024, DOI: 10.62617/mcb622

Abstract：

Non-verbal communication, especially physical posture, affects audience perception. From a cellular and molecular biomechanics angle, different postures may trigger unique intracellular responses. Upright or leaning forward postures might activate neural pathways that enhance neurotransmitter release related to positive perception. In contrast, a slouched posture could disrupt normal cellular signaling, potentially leading to a less favorable audience perception. This study explores the impact of four postures on audience views in a media setting, aiming to offer data on how posture shapes key perceptions and provide valuable insights for Mass-media Presentations (MMP), despite limited prior research on this aspect. A within-subject experimental design was employed, with 34 participants observing media presentations under four posture conditions. Posture was the independent variable, while credibility, trustworthiness, engagement, and authority were the dependent variables. Data were collected using surveys, posture monitoring devices, and eye-tracking data. Statistical analyses, including Analysis of Variance (ANOVA) and paired t-tests, were conducted to determine significant differences between posture conditions. Upright and leaning forward postures were associated with the highest audience ratings for credibility, trustworthiness, engagement, and authority. Slouched posture consistently led to the lowest ratings across all measures. The ANOVA results revealed significant differences in perceptions of engagement (F = 10.21, p = 0.0008) and credibility (F = 8.67, p = 0.0013). Paired t-tests and post-hoc analyses confirmed that upright posture significantly outperformed slouched posture across all metrics, with large effect sizes (Cohen’s d > 1.0). Posture significantly influences audience perceptions in mass media presentations. Upright and leaning forward postures enhance credibility, trustworthiness, engagement, and authority, while slouched posture diminishes these perceptions. These findings provide practical insights for media professionals, suggesting that careful attention to posture can improve the effectiveness of media presentations. Future research could investigate how gestures and facial expressions interact with these cellular and molecular mechanisms to shape audience engagement.

Open Access

Article

Biomechanical analysis of kinematics in the single whip movement of Tai Chi using video imaging

Xianghe Shan

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 543 , 2024, DOI: 10.62617/mcb543

Abstract：

“Single whip” is a typical movement in Tai Chi, and the study of its kinematics has important practical value for better understanding the laws and characteristics of Tai Chi movements. This study divided 30 Tai Chi practitioners into two groups based on their skill level: an excellent group and a beginner group. The Vicon motion capture system and a three-dimensional force platform were used to obtain kinematic data. Differences in movements between the two groups at various stages were compared. The results showed that the excellent group took longer in stages one and three, but shorter in stage two. In stage one, the left knee joint angle of the excellent group was 95.45° ± 16.02°, while the right knee and left hip joint angles were larger (148.62° ± 12.84° and 133.55° ± 18.61°). In stage two, the angles of the right knee, left ankle, and right ankle joints of the excellent group were significantly smaller than those of the beginner group. In stage three, the angle of the right elbow joint of the excellent group was larger (154.26° ± 12.06°), while the angles of the right wrist angle and the left and right ankle joints were significantly smaller than those of the beginner group ( p < 0.05). In terms of vertical displacement of the center of gravity, the excellent group exhibited less fluctuation and significantly lower dynamic stability in both anterior-posterior and medial-lateral directions compared to the beginner group ( p < 0.05).

Open Access

Article

Applications of physical exercise in frailty: Progress, mechanisms, and prospects

Xiongsi Tan, Ziyang Lin, Junzheng Yang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 500 , 2024, DOI: 10.62617/mcb500

Abstract：

Frailty is a kind of clinical state or a kind of complex pathological syndromes characterized by impaired physiological functions, weakened physical and mental resistance to stress, and reduced ability to maintain homeostasis in multiple systems. Several types of risk factors can affect the occurrence and development of frailty either independently or in conjunction with one another, including age, gender, and exercise habits; and the multidimensional systemic treatment are often required to alleviate or improve frailty. Physical exercise is the various kinds of systematic and conscious activities, it has been demonstrated that regular exercise can promote the normal metabolism processes within the body, thereby preventing or alleviating the symptoms of various diseases. Physical exercise has the potential to regulate oxidative stress, immune response, and endocrine balance in the body of frail people by activating multiple signaling pathways including mitochondrial function, cytokine secretion, and regulation of inflammatory factors, its applications in frailty has been made the significant progress and the underlying mechanisms has been further elucidated. In this review, we have summarized the recent progress on the applications of physical exercise in frailty and the potential mechanisms, hoping that our reviews may provide some helpful guidance for the further research.

Open Access

Article

Effect of air pollution with Aspergillus spp.in occurrence of Aflatoxin M1 in milk and its products

Safa M. Abdulateef, Anmar Sael Hussein, Sanaa H. Mohammed, Batol Imran Dheeb, Nehan Bahaaldden Jafar

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 758 , 2024, DOI: 10.62617/mcb758

Abstract：

Aspergillus fungi produce a family of mutagenicity and carcinogenicity mycotoxins called aflatoxins, which has been shown to cause hepatocellular carcinoma (HCC) in human tissues and can form derivatives with several cellular macromolecules. The study was conducted in Hawija, Kirkuk City, from January to June 2021. The feedlot storages are used for a stored ration that is used for cow nutrition, which is the source of milk. In the current study, we used 80 cow raw milk samples and their products (40 soft white cheeses and 40 yogurts). The results showed fungal growth was recorded in 71 feedlot storages out of 80 feedlot storages at a rate of 88.75%, and Aspergillus spp detection in 59 out of 71 feedlot storages at a rate of 83.1%. Also, the current study showed that 54% of milk samples, 62% of yogurt samples, and 86% of cheese samples were contaminated with Aflatoxin M1. Pollution of feedlot storage environments by Aspergillus spp. led to contamination of rations with Aspergillus spp. and its toxin. Animals fed with contaminated rations containing toxin will have produced this toxin in the milk.

Open Access

Article

Biomechanical analysis of seated posture and ergonomics in workspace interior design for improved user comfort

Yuhai He

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 701 , 2024, DOI: 10.62617/mcb701

Abstract：

Prolonged sitting in office environments poses significant occupational health risks, necessitating effective ergonomic interventions. This study investigated the biomechanical aspects of seated posture and the effectiveness of ergonomic interventions in a technology park setting. A 12-week randomized controlled study was conducted with 39 office workers divided into three groups: Control Group ( n = 13), Intervention Group A (ergonomic setup, n = 13), and Intervention Group B (ergonomic setup with feedback, n = 13). Measurements included spinal angles, muscle activity (%MVC), seat pressure distribution, and postural compliance. Spinal alignment improved significantly in intervention groups, with Intervention Group B showing superior improvement (+32.6 ± 3.8°) compared to Intervention Group A (+24.8 ± 3.5°) and control group (−2.5 ± 1.2°, p < 0.001). Muscle activity in the trapezius reduced significantly in Intervention Group B (from 22.4% ± 3.2%MVC to 13.1% ± 2.1%MVC, p < 0.001). Peak pressure at ischial tuberosities decreased by 29.5% in Intervention Group B compared to control. By week 12, postural compliance reached 85.4% ± 6.8% in Intervention Group B versus 47.2% ± 5.0% in the control group, with user adaptation rates achieving 86.1% ± 6.9% compared to 45.6% ± 4.8% in the control ( p < 0.001). The combination of ergonomic setup and real-time feedback demonstrated superior outcomes in improving seated posture, reducing muscle fatigue, and optimizing pressure distribution. Intervention Group B showed significantly better results across all parameters, with sustained improvements over the 12 weeks. These findings suggest that integrated ergonomic interventions with feedback mechanisms are more effective than traditional approaches in promoting healthy sitting behavior in office environments.

Open Access

Article

Dynamics analysis of rotor in disc centrifuge for separation of bioengineering

Yurong Wang, Shuxin Wang, Hong Li, Mingliang Zheng

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 1085 , 2024, DOI: 10.62617/mcb1085

Abstract：

In order to reveal the influence of gyroscope effect and structure parameters on the modal frequency and critical speed of the rotor system in disc centrifuge for separation of bioengineering. Based on the rotor rigid body dynamics, the fixed-point gyroscope motion of the rotating spindle of the disc centrifuge was analyzed. Establishing a finite element dynamic model for the rotor system of a disc centrifuge, taking into account the gyroscopic moment caused by the rotational inertia of the rotor disk and the elastic support of the bearings. We calculated the gyroscopic moment and the analytical expression of critical speed. Analyzing the quantitative relationship between the gyroscope effect, bearing support stiffness, drum material density and the critical speed of the rotor system. The results show that the calculated value of finite element is close to the measured value. The influence of gyroscopic force on the vibration characteristics of rotor system for dish centrifuge cannot be ignored. The critical speeds of the rotor system increase with the increase of elastic support stiffness, while the first critical speed decreases with the increase of drum density, but the second critical speed increases with the increase of drum density. These studies provide a theoretical reference for the dynamic response, structural design and dynamic balance of disc centrifuge.

Open Access

Article

Temporal analysis of cellular and molecular response-driven ground reaction forces in predicting volleyball spike jump height: Insight for optimizing spike jump performance

Maolin Dong, Junsig Wang, Weishuai Guo, Youngsuk Kim, Bairan Li, Sukwon Kim

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 363 , 2024, DOI: 10.62617/mcb363

Abstract：

Ground reaction force (GRF) during jumping, which is an outcome of the complex cellular and molecular biomechanical processes within the lower limb, reflects the interaction of the lower limb with the ground. Previous studies, however, have been restricted to analyzing only the peak kinetics, overlooking the moment when the peak occurs and other essential details beyond the peak. Thus, the objective of our study was to explore the relationship between the full time series of GRF and jump height during volleyball spike jumps, considering the underlying cellular and molecular biomechanical mechanisms. Data on the kinematics and kinetics of 22 elite male (mean age: 21.56 years) collegiate volleyball players’ spike jumps were gathered via a motion capture system comprising 13 high-speed cameras and 2 force plates. Then, we analyzed the association between the full ground reaction force time series and jump height using statistical parameter mapping (SPM) regression. The results of the study demonstrated that the horizontal GRF of the dominant foot was significantly related to jump height in the 23%–80% interval of dominant foot contact (DFC) with the force plate to take-off (TO). This association is likely due to the coordinated activation and contraction of specific muscle cells and molecular signaling pathways within the lower limb muscles that govern force generation and transmission. The vertical GRF of the dominant foot was significantly associated with jump height in the 29%–35% and 80%–94% intervals of DFC to TO, which could be attributed to the differential recruitment and activity of muscle fibers at the cellular and molecular levels. Similarly, the non-dominant foot was significantly associated with jump height in the 48%–63% interval of non-dominant foot contact (NFC) with the force plate to TO. These data emphasize the significance of enhancing lower limb muscle capacity through interventions that target the cellular and molecular biomechanical aspects, in order to improve jumping technique and overall performance.

Open Access

Article

Self-made Chinese herbal compound decoction on the frequency of attacks and symptom improvement in patients with external contraction limb joint spasms

Junlai Xue, Teng Gao, Xuezhu Jin, Xiaolin Zhang, Yufeng Wang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 786 , 2024, DOI: 10.62617/mcb786

Abstract：

Background : After suffering a stroke, external contraction limb joint spasms frequently occur as a sequela, leading to increased muscle tension in patients and affecting the normal control of contraction and relaxation of limbs and joints, significantly impacting their daily activities and productivity. Current clinical treatments often rely on surgery or anti-spasm medications, which may be accompanied by prolonged treatment durations and significant side effects. These methods only provide short-term relief from muscle tension and spasms, falling short of satisfactory results. Therefore, there is an urgent need to explore effective biomechanical therapies to alleviate limb joint spasms. Traditional Chinese medicine, with its unique theoretical framework and treatment modalities, has garnered global attention. This study aims to investigate the impact of a self-made traditional Chinese medicine compound decoction on the frequency of attacks and symptom improvement in patients suffering from external contraction limb joint spasms, hoping to offer additional avenues for the development of traditional Chinese medicine in treating limb joint spasms. Objective : To evaluate the biomechanical effects of the self-formulated Chinese medicine compound decoction on the frequency of attacks and symptom improvement in patients with external contraction limb joint spasms. Methods : A total of 94 patients with external contraction limb joint spasms following stroke were randomly allocated into two groups: the traditional Chinese medicine (TCM) group and the rehabilitation group, each consisting of 47 patients. The rehabilitation group received routine symptomatic treatment for stroke and biomechanical rehabilitation training, while the TCM group received the self-formulated Chinese medicine compound decoction in addition to routine treatment and rehabilitation training. Both groups underwent continuous treatment for one month. The number of limb joint spasm attacks before and after treatment was recorded for both cohorts. Comparisons were made regarding the degree of joint spasm at the elbow, wrist, knee, and ankle joints, clinic spasticity index (CSI) scores, Fugl-Meyer assessment (FMA) scale scores, and activities of daily living (ADL) scores between the two cohorts before and after treatment. Clinical efficacy was also compared between the two groups. Results : No significant difference was detected in the number of limb joint spasm attacks between the two groups before treatment ( P > 0.05). After treatment, the number of attacks in both groups significantly decreased compared to before treatment ( P < 0.05), with a lower number of attacks in the TCM group ( P < 0.05). Prior to treatment, there were no statistically significant disparities in the degree of spasm at the elbow, wrist, knee, and ankle joints between the two cohorts ( P > 0.05). Following treatment, notable improvement was observed in the spasm of each joint in both groups, with better improvement in the TCM group than in the rehabilitation cohort ( P < 0.05). Before treatment, we found no substantial disparities in tendon reflex, muscle tension, and spasm scores between the two groups ( P > 0.05). After treatment, scores in each parameter were reduced in both cohorts, with scores lowered in the TCM group compared to the rehabilitation group ( P < 0.05). Prior to treatment, no substantial differences existed in FMA and ADL scores between the two groups ( P > 0.05). After treatment, both FMA and ADL scores were elevated in both groups compared to before treatment, with higher scores observed in the TCM cohort than in the rehabilitation cohort ( P < 0.05). The total effective rate in the TCM group reached 95.74%, while in the rehabilitation group, it was 80.85%, with significantly higher clinical efficacy in the TCM group compared to the rehabilitation cohort ( P < 0.05). Conclusion : The use of self-formulated Chinese medicine compound decoction can reduce the number of attacks and achieve a more significant improvement in symptoms for the treatment of external contraction limb joint spasms, demonstrating good biomechanical therapeutic value and deserving clinical promotion.

Open Access

Article

Dynamic relationship between oral English pronunciation standard and mental health monitored by biosensor

Xuan Zhou, Wei Jia, Cuiping Shi

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 833 , 2024, DOI: 10.62617/mcb833

Abstract：

Oral English pronunciation is an important feature of language ability, especially among non-native speakers, as good pronunciation has a direct impact on communication efficacy and social integration. However, the difficulties connected with attaining a high standard of oral English pronunciation can lead to severe stress, anxiety, and other mental health disorders. The purpose of the research is to establish a dynamic correlation between oral English pronunciation standards and mental health, as monitored through biosensor data. The research aims to explore how variations in speech accuracy and fluency during English pronunciation tasks can reflect underlying psychological states, such as stress, anxiety, and overall emotional well-being. The study proposed a novel Improved Flower Pollination-tuned Resilient Deep Neural Network (IFP-RDNN) in this article, to predict the oral English pronunciation rating using biosensors. Electroencephalography (EEG)records patterns of cerebral waves using electrodes applied to the head to assess the electrical impulses in the cerebellum called EEG signals was acquired during the listening state and with the audio signals utilized in stimuli, as well as the spoken audio obtained from the subject. The data processing used a median filter to remove noise from the audio data. Fast Fourier transform (FFT) is used to extract the features from the preprocessed data. It is measured by biomedical data, can be predicted with the help of an optimization technique which draws inspiration called IFP helps to optimize the parameters effectively by mimicking natural pollination processes; RDNN is employed with the optimized parameters; it can predict oral English pronunciation ratings. Experimental results reveal that the spoken audio confirms the improvement in pronunciation throughout the trials. In a comparative analysis, the suggested method is assessed with various evaluation measures, such as F1-score (88.9%), recall (91.60%), precision (89.80%), and accuracy (90.3%). The result demonstrated the IFP-RDNN method to predict the oral English pronunciation rating using biosensors. The findings indicate a significant connection between the quality of oral English pronunciation and mental health, with deviations from standard pronunciation being associated with increased stress and emotional suffering.

Open Access

Article

Biomechanics of conjugated materials in tennis racket swing action

Denghui Tian

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 906 , 2024, DOI: 10.62617/mcb906

Abstract：

In response to the problem of insufficient elasticity and high swing load in tennis rackets, this article adopted a new π conjugated material to optimize the tennis racket and conducted research on the biomechanical analysis of swing actions. Firstly, the Hummer method was used to oxidize and dry graphite to prepare graphene materials with low dispersion. Poly1, 5-diaminoanthraquinone (PDAA) nanocomposites were introduced, and they were fused with graphene materials through chemical oxidation polymerization to produce a new π conjugated material. Then, they were applied to the string surface and handshake improvement of tennis rackets through impregnation and vacuum drying methods, improving the elasticity of the strings while reducing the weight of the tennis racket. Finally, on-site material validation was conducted on the self built survey athlete dataset. The experimental results showed that the accuracy of the tennis racket made of the new π conjugated material reached 99.41%, which was 6.73% higher than that of carbon fiber material. The bending strength reached 97.53 MPa, and the weight of the racket was only 255 g. The application of conjugated materials has enhanced the elasticity of tennis rackets, reduced the weight of the racket, and promoted the fatigue resistance and accuracy of tennis players’ swing actions.

Open Access

Article

Biosensor assisted measurement of cognitive participation in English reading: A psychological perspective

Yang Li, Yajie Chen

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 830 , 2024, DOI: 10.62617/mcb830

Abstract：

Cognitive involvement in English reading is important for understanding and engagement. Traditional techniques of measuring cognitive participation frequently rely on individual evaluations that do not capture real-time physiological reactions. Recent developments in artificial intelligence (AI) and biosensor technology provide intriguing options to close this gap by offering a goal, real-time data. This work seeks to improve the evaluation of cognitive participation in reading in English by combining biosensor data analysis with modern AI algorithms. Participants completed English reading activities, and their electroencephalogram (EEG) and Galvanic Skin Response (GSR) signals were recorded. A median filter was used as a pre-processing to reduce noise. Discrete wavelet transform (DWT) was utilized to extract features to extract specific patterns from the biosensor signals. The new Dynamic White Shark Infused Residual Neural Network (DWS-IResNet) approach was used to model and forecast the level of cognitive participation. The proposed method is implemented using the Python platform. The algorithm used was trained and evaluated based on performance indicators such as accuracy. Using the features of simple, technical, analytical, and emotional, the proposed DWS-IResNet approach is compared with metrics between males and females. In simple features, the accuracy was 90% higher for females; in emotional features, the precision was 90% better for females; and in males and females, the percentage of emotion features was greater at 90% of recall and 90% of F1-score. The suggested technique demonstrates the efficacy of the AI-enhanced biosensor method for assessing cognitive engagement. This study demonstrates the possibility of AI-powered biosensor readings for real-time, accurate evaluation of cognitive involvement during reading.

Open Access

Article

Prevention of sports injuries in college basketball players: An intervention study based on biomechanics

Yunbang Zhang, Gongxia Tan, Hao Zou

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 623 , 2024, DOI: 10.62617/mcb623

Abstract：

College basketball is becoming more and more popular, and as a result, more students are participating in the sport. This has led to a progressive rise in sports injuries, which has an impact on both academic performance and quality of life. Basketball players are mostly vulnerable to Anterior Cruciate Ligament (ACL) injuries due to certain movement patterns that raise their risk of damage. This study examines how biomechanical risk factors for ACL injuries in pre-adolescent basketball players are impacted by the JumpStart injury-prevention warm-up routine. The exercise that would lower the Peak Knee Valgus Moment (PKVM), a major risk factor for ACL injuries, was hypothesized. Further kinematic and biomechanical parameters were investigated. A total of sixty-two male and female basketball players were randomized and recruited into two divisions: the experimental group (EG) (n = 31) then the control group (CG) (n = 31). While the CG continued with their standard warm-up protocol, the experimental group took part in fifteen in-season JumpStart sessions. Motion capture data from pre- and post-season basketball-specific activities, such as jump landings, single-leg jumpers, and cutting movements, were gathered. SCONE simulator biomechanical modeling system was used to determine joint angles and moments in the lower extremities. Pre- and post-season data within groups were contrasted using paired t -tests, and the control and experimental groups were contrasted using independent t -tests. To assess the interaction effects among the EG and CG, an analysis of variance (ANOVA) was also achieved. The EG’s PKVM during jump landings was considerably lower ( p < 0.01) than that of the CG, according to the results. These results show that the JumpStart program is beneficial in lowering the probability of ACL injuries in pre-adolescent basketball players and recommend future improvements to address other risk factors in single-leg and cutting activities.

Open Access

Article

Factors influencing success: Secondary cytoreductive surgery in the management of recurrent ovarian cancer

Huixing Yi, Rongdong Zeng, Xiaogang Lv

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 752 , 2024, DOI: 10.62617/mcb752

Abstract：

Objective: Secondary cytoreductive surgery (SCRS) plays a key role in the treatment of ROC. The aim of this study was to provide an in-depth analysis of the practical application of SCRS in the management of recurrent ovarian cancer (ROC) and to assess the specific impact of its therapeutic effect on the long-term prognosis of patients. Methods: We collected clinicopathologic data on 83 ROC patients who received SCRS from January 2010 to January 2020, including patient age, histological type, and SCRS results. Kaplan-Meier survival curve, Logistic regression test and Cox proportional risk model were used for univariate regression analysis. Results: We ended up with a detailed analysis of 80 patients. During the observation period, up to the prescribed end of follow-up, 26 patients were observed to be alive, while 57 patients had died. The mean survival of all patients was 56 months. The clinical factors affecting progression-free survival were neoadjuvant chemotherapy [HR (95% CI) = 1.40 (1.13–1.74)], The recurrence interval [HR (95% CI) = 0.51 (0.36–0.70)], previously used chemotherapy line number [HR (95% CI) = 1.46 (1.17–1.82)], recurrence period to the total number of cycles of chemotherapy [HR (95% CI) = 3.48 (2.65–4.57)]. Factors affecting the degree of SCRS completion include tumor stage [HR (95% CI) = 2.723(1.281–5.786)], tumor size [HR (95% CI) = 0.386 (0.153–0.896)], The number of tumors [HR (95% CI) = 2.893 (1.056–7.925)]. Conclusion: Tumor stage, time interval of recurrence, size and number of lesions are closely related to the success rate of SCRS. Recurrent ovarian cancer patients achieve complete elimination of tumor cells through SCRS to optimize treatment outcomes and prognosis.

Open Access

Article

Biomechanical analysis and application of an anti-fuzzy decomposition method for sports dance movement images based on multi-attention

Tang Tang, Junjian Zheng, Lei Wang, Fei Yang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 675 , 2024, DOI: 10.62617/mcb675

Abstract：

In the realm of biomechanics, accurate analysis of sports dance movements plays a crucial role in understanding human motion patterns and optimizing athletic performance. To address the challenge of analyzing sports dance error movement images that often suffer from high segmentation difficulty due to blurriness, we propose an anti-fuzzy decomposition method based on multi-head attention. Firstly, the Multi-scale Retinex automatic color enhancement algorithm is employed to correct the color of sports dance error action images, as color correction can enhance the visual clarity which is essential for subsequent biomechanical feature extraction. Subsequently, an anti-fuzzy decomposition model of sports dance error action images based on Diffusion Model-U-shaped network (DM-Unet) is constructed. The corrected image is divided into image blocks by a block embedding layer and then input into the encoder which is constructed by the confrontation generation network. The encoder selects the residual network not only to extract image features but also to capture biomechanically relevant details such as joint positions, limb orientations, and body postures. The multi-head attention module is utilized to suppress the dynamic blur of the image, which helps in precisely identifying the key movement elements during sports dance. Moreover, through down-sampling operations, the dimension of image features is reduced while retaining the essential biomechanical information. The decoder then uses the up-sampling module to restore the encoder output results to the original size. Through the global residual connection module, the features of each layer of the encoder and decoder are connected, enabling the retention of shallow features of the image that are significant for analyzing the fine-grained biomechanical aspects of sports dance movements. The comprehensive loss function is used to train the model, and the anti-fuzzy decomposition results of sports dance error action images are outputted. The experimental results show that this method can effectively decompose the wrong action image of sports dance into structure and texture parts. Importantly, the peak signal-to-noise ratio of the decomposed image being higher than 26dB indicates enhanced clarity for further biomechanical analysis. For example, these decomposed images can be used to study the impact of different movement errors on joint torques, muscle activations, and overall body balance in sports dance, providing valuable insights for coaches and biomechanics researchers to improve training programs and understand injury mechanisms.

Open Access

Article

Effects of low-level laser therapy and functional exercises in the treatment of chronic ankle sprain: A randomized controlled trial

Yuanzheng Chen, Yicai Fan, Quan Zhou, Haonan Qian

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 757 , 2024, DOI: 10.62617/mcb757

Abstract：

Objective: Chronic ankle sprains can be described as a failure of the lateral ankle joint complex following an acute or recurrent ankle injury. It is estimated that 80% to 85% of ankle sprains and lateral ankle complex failures can be successfully treated with a functional ankle rehabilitation program. However, most previous functional training has focused on enhancing local ankle function, with less attention paid to the damaged tissue cells and to the systematic consideration of the human lower limb kinetic chain. The more comprehensive approach to combined therapy requires further research. The purpose of this study is to investigate whether low-level laser therapy (LLLT) combined with functional exercise, is more effective than functional exercise alone in treating chronic ankle sprain. At the same time, to observe the dose-response relationship of LLLT in the treatment of chronic ankle sprains. Methods: Thirty-three patients with chronic ankle sprains were randomly divided into three groups: exercise alone, low-dose laser plus exercise, and high-dose laser plus exercise, with eleven patients in each group. Two “laser groups” received laser irradiation at an intensity of 398 mW/cm 2 and 796 mW/cm 2 (doses of 119 J/cm 2 and 239 J/cm 2 ), respectively, which were applied to two acupoints of Ki 3 (Taixi) and Bl 60 (Kunlun), and two pain points of the ankle. The functional exercise program consisted of ankle resistance exercises, resistance kinematic chain exercises, heel raise exercises, and BOSU ball exercises. All patients received five treatments per week for four weeks. At the end of this treatment and at baseline, observing the changes in ankle pain, range of motion (ROM), muscle strength, and balance postural control, and evaluating the curative effects. Results: After the 4-week intervention, all groups showed significant improvement in outcomes ( P < 0.05). The high-dose laser irradiation combined with functional exercise resulted in more significant improvements in the primary outcomes than the other two regimens ( P < 0.05). However, there were no significant differences ( P > 0.05) between the low-dose laser irradiation combined with functional exercise and functional exercise alone. Conclusion: 1) Systematic functional exercise can significantly reduce the pain of patients with chronic ankle sprains, meanwhile improves the ROM, muscle strength, and balance control of the ankle joint. 2) LLLT enhances the efficacy of functional exercise in the treatment of chronic ankle sprains. 3) The therapeutic effect of LLLT on chronic ankle sprains is related to the irradiation intensity, and the effects of 796 mW/cm 2 irradiation being more effective than 398 mW/cm 2 irradiation.

Open Access

Article

Research on mechanism and prevention path of athletes’ lower limb injury in badminton teaching and training

Shaoyin Li, Zunyi Ma, Shuangmei Xie

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 719 , 2024, DOI: 10.62617/mcb719

Abstract：

Lower limb injuries are common among athletes, particularly during badminton training and competition, and are often caused by biomechanical imbalances, repeated strain, and ineffective training techniques. The basic mechanisms of lower limb injuries are examined in this study, along with preventive measures to improve athlete safety in sports instruction and practice. In addition, 275 badminton players participated in the study, and information was gathered via surveys and injury reports. Key injury patterns by gender, weight category, and injury type were identified by frequency analysis and cross-tabulation; Statistical significance was assessed using chi-square testing. Based on the results, the most frequent injuries are to the thighs and ankles, with those injuries increasing mostly throughout non-contact exercises similar to warm-ups and footwork drills. A thigh injury was dominant in lightweight competitions, as knee injuries were more frequent in men’s heavyweight competitions. Based on statistical analysis, ankle injuries were much more common in female athletes across all weight classes, and they were regularly caused by tiredness from repetitive motions and insufficient warm-ups. The distribution of the injuries among badminton players was as follows: warm-ups caused 80 injuries (29.1%), footwork drills caused 90 injuries (32.7%), strength training caused 40 injuries (14.5%), and miscellaneous activities caused 65 injuries (23.6%). Ankle and thigh injuries during warm-ups, ankle and knee injuries during footwork drills, and knee and thigh injuries during strength training were the most frequent injuries. According to our study, a lack of protective workouts, developed fatigue, and poor movement execution are all main causes of lower limb injuries. In light of these findings, we suggest particular preventive measures, such as modified warm-up routines, biomechanical evaluations, and recuperation management strategies. Athlete performance can be enhanced and injury risks reduced by integrating these preventive pathways into sports teaching and training.

Open Access

Article

The biomechanical characteristics of fencing lunge movements and their implications for physical training

Shen Wei, Dongyuan Wei

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 555 , 2024, DOI: 10.62617/mcb555

Abstract：

Fencing is a unique combat sport characterized by its dynamic movements, strategic interactions, and the need for rapid decision-making. Central to a fencer’s performance is the lunge, a foundational movement that enables athletes to engage their opponent effectively while maintaining balance and control. It executes precise and explosive movements, particularly during lunges, which are critical for both offensive and defensive strategies. Understanding the biomechanical characteristics of this action is critical for maximizing performance, improving training regimens, and lowering injury risk. The objective of this study is to investigate the biomechanical characteristics of fencing lunge movements and their implications for physical training. A total of 126 fencers participated in this study. They are randomly divided into two groups: Group A, who received physical training based on biomechanical intervention, and Group B, who received traditional physical training. Using motion capture data through cameras, sensors and force plates, the lunge technique of competitive fencers is analyzed, examining variables such as joint angles, force application, and ground reaction forces. The data analysis and statistical methods include descriptive statistics, t -tests, and ANOVA to identify significant differences between the groups. The findings demonstrate Group A significantly improved the optimal lunge execution, which is characterized by specific patterns of joint movement, particularly at the ankle, knee, and hip, which correlate with successful reach and stability. Also, Group A identified the importance of muscular strength, flexibility, and reaction time in enhancing lunge performance to Group B. The study describes that integrating these biomechanical concepts into training programs, coaches, and players can enhance performance, reduce the risk of injury, and encourage long-term fencing success.

Open Access

Article

Biosensor-based strategies for promoting innovation and assessing occupational health risks among college students

Fang Li

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 820 , 2024, DOI: 10.62617/mcb820

Abstract：

Higher education was increasingly emphasizing innovation and entrepreneurship strategy, encouraging college students to develop creative talents. The intense needs of both academic and entrepreneurial tasks provide serious occupational health hazards that affect students’ physical and emotional health. This paper provides a novel approach to risk assessment and management that combines biosensor technology and artificial intelligence (AI). The emphasis is on applying a novel Flower Pollination Optimizer Tuned Gate refined Long Short Term Memory (FPO-GLSTM) method to monitor and forecast health issues, such as stress, physical strain, and other risk factors in education and entrepreneurship situations. Data were gathered using biosensors that monitored physiological characteristics, such as heart rate, blood pressure, and stress levels in real-time. To capture crucial health information, the data was pre-processed with min-max normalization, and features were extracted using the Discrete Wavelet Transform (DWT). The FPO-GLSTM model to forecast potential health hazards and make individualized recommendations. The outcomes demonstrate that the FPO-GLSTM-based model accurately and precisely forecasts health risks, including stress-induced conditions. AI and biosensor data integration offer a viable way to monitor and manage health risks for students, improving their health in educational and entrepreneurial environments.

Open Access

Article

Investigating the biomechanical impact of lighting placement on visual and physical comfort in living room interior design

Yabin Chen, Qiong Wu, Shijia Wang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 698 , 2024, DOI: 10.62617/mcb698

Abstract：

Lighting is a key factor in shaping comfort, ambiance, and functionality within residential spaces, influencing not only visibility but also a room’s overall experience and usability. In living rooms, where activities range from socializing and relaxation to reading and television viewing, lighting design must balance visual clarity, warmth, and adaptability to meet diverse needs. This study investigates the effects of specific lighting placements—overhead, wall-mounted, and floor/table lamp setups—across warm (2700 K), neutral (4000 K), and cool (6500 K) color temperatures on visual and physical comfort in a simulated residential living room environment. Using a mixed-methods approach, quantitative metrics, such as brightness consistency and luminance contrast, were combined with qualitative assessments of perceived comfort and activity suitability. Findings reveal that warm-toned floor and table lamps (2700 K) provide the highest levels of perceived warmth and relaxation, with average ratings of 4.9 and 4.8, making them particularly suitable for social and leisure activities. Overhead lighting in cool tones (6500 K) enhanced visual clarity, achieving an average clarity rating of 4.5, making it more suited to tasks requiring focused attention, such as reading. Wall-mounted lighting in neutral tones (4000 K) offered a balanced solution, with comfort and activity suitability ratings of 4.5, supporting a range of activities without compromising ambiance or clarity. These results underscore the importance of selecting lighting configurations that align with the intended use of residential spaces. Warm lighting, especially at lower levels, creates a cozy, inviting atmosphere most effectively, while cooler overhead lighting offers enhanced brightness and clarity for more visually demanding tasks. By highlighting the impact of lighting placement and color temperature on residential comfort, this study provides practical insights for interior designers and homeowners, contributing to developing adaptable, user-centered lighting solutions that optimize functionality and ambiance in home environments.

Open Access

Article

Optimization of adolescent and young adult mental health assessment and ideological-political intervention strategies based on biological analysis

Dawei Meng

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 582 , 2024, DOI: 10.62617/mcb582

Abstract：

The present work is a cross-sectional study seeking to improve the assessment of student mental health by including. It not only utilizes the standard rating scale but also incorporates cortisol levels and genetic factors. The study delves into the role of various factors. In terms of biological aspects, it focuses on the molecular mechanisms underlying cortisol and genetic markers, and details the methodologies for their measurements. Regarding sociopolitical factors, it analyzes the impacts of stigma, societal pressures, and academic policies on students’ mental wellbeing. Moreover, it emphasizes the intricate interactions between biological, psychological, and sociopolitical dimensions. The research adopts a quantitative research design complemented by qualitative research data collection and analysis tools. In the quantitative phase, 400 high school and university students are recruited. They fill in psychometric questionnaires such as the Beck Depression Inventory, State-Trait Anxiety Inventory, and Perceived Stress Scale, along with providing biological measures like cortisol levels Participants are matched by age, gender, and socio-economic status. As part of the qualitative analysis, 50 students are invited for focus group interviews to get their understanding of mental health issues, social norms, and the college rules and regulations. The data collection was done through stratified random sampling to ensure a comprehensive representation. The results indicate that high cortisol levels are positively related to depression and anxiety scores, which validates the significance of biological factors in mental disorders. Additionally, the quantitative findings highlight crucial sociopolitical factors like stigma and academic pressure that exacerbate mental health problems. To enhance the efficiency of mental health evaluation and treatment, a holistic approach considering biological, psychological, and Socio-political factors is essential. However, the study has limitations such as the lack of transferability of findings to other populations and the potential influence of self-report measures in psychometric results.

Open Access

Article

Research on the design of biomimetic cultural and creative products driven by mechanical force

Ping Dong, Xuefeng Li

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 440 , 2024, DOI: 10.62617/mcb440

Abstract：

The incorporation of biomimetic ideas into product design has emerged as a viable strategy for increasing creativity and utility in cultural and creative products. This study focuses on the design of a household appliance, especially a cultural one, by substituting standard materials with novel alternatives powered by mechanical forces. The objective of this research is to provide a thorough framework for assessing the quality of the newly constructed home appliance by utilizing a unique technique called Adaptable Pelican optimization fine-tuned Gradient boosting machine (APO-GBM). We apply powerful machine learning techniques to predict product quality by identifying essential features like design quality, durability, and user satisfaction. The results show that the application of mechanical forces increases the vessels’ functional efficiency and durability in addition to improving their appearance. The hybrid model is highly accurate in forecasting product quality, opening the path for future advances in biomimetic design. The study’s findings highlight the possibility of combining mechanical forces with biomimetic concepts to produce unique, cultural, and creative products. This information may be very helpful to manufacturers and designers who want to improve the sustainability and quality of their products.

Open Access

Article

Optimizing English pronunciation teaching through motion analysis and intelligent speech feedback systems

Jieru Wang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 652 , 2024, DOI: 10.62617/mcb652

Abstract：

This study investigates the effectiveness of integrating Motion Analysis (MA) and Intelligent Speech Feedback Systems (ISFS) to enhance English Pronunciation (EP) accuracy among Chinese learners. Leveraging the OptiTrack Prime 13 Motion Capture System (MCS) and SpeechAce Pronunciation API, the study aims to address challenges non-native English speakers face, particularly in producing accurate articulatory movements and reducing Pronunciation Errors. Forty-three participants were divided into Experimental Groups (EG) and Control Groups (CG), with the EG receiving real-time feedback on articulation and phoneme accuracy. Key metrics, including Pronunciation Accuracy Score (PAS), Articulatory Movement Score (AMS), and Pronunciation Error Rate (PER), were measured alongside engagement indicators, such as session duration and self-corrections. The results show that the EG experienced a significant improvement in pronunciation accuracy, with a 31.2% increase in PAS and a 57.1% reduction in PER. Enhanced AMS scores also indicated refined articulatory precision across various articulatory points, including lip rounding and tongue positioning. Engagement metrics demonstrated higher consistency and task completion rates in the EG, suggesting increased motivation and sustained participation due to the real-time feedback provided. These findings suggest that combining MA with ISFS can provide targeted, adaptive support, enabling learners to make precise corrections and accelerate their progress in achieving native-like pronunciation. This study contributes valuable insights into the potential of advanced feedback-driven approaches in language learning and pronunciation training.

Open Access

Article

Biomechanical analysis of musicians’ posture and movement patterns for optimizing performance and reducing injury risk

Xuan Yao

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 569 , 2024, DOI: 10.62617/mcb569

Abstract：

Musicians often face unique physical demands that can lead to musculoskeletal disorders (MSDs) and performance-related injuries due to repetitive movements and poor postural alignment. This study examines the biomechanical factors contributing to these issues and explores the relationship between posture, movement efficiency, and performance quality across various instrument types. Using advanced motion capture technology, force plates, and electromyography (EMG), this research analyzes joint angles, ground reaction forces (GRF), muscle activation levels, and kinematic patterns in 84 musicians. Key findings include significant differences in joint angles across career stages, with mid-career musicians exhibiting the highest deviations in shoulder and elbow alignment ( p < 0.05), suggesting that posture improves with experience but still presents a risk. GRF analysis revealed that standing musicians experience a significantly higher load (mean GRF = 489.6 N, p = 0.012), leading to greater postural instability and reduced performance quality. The study also found a positive correlation between movement efficiency and auditory performance ( r = 0.61, p = 0.004), emphasizing the importance of efficient, fluid movements in producing high-quality musical output. Multivariate regression analysis indicated that violinists and cellists experience the highest muscle activation and fatigue rates, with violinists showing a fatigue rate of 0.29 %MVC/min ( p < 0.05), highlighting the physical strain on string players. Pressure distribution analysis for seated pianists identified asymmetries in posture, with a significant imbalance in left and right side pressure ( p = 0.023), contributing to discomfort and potential long-term injury risks.

Open Access

Article

Investigating the biomechanical reactions at the microscopic level of consumer behavior in e-commerce by means of motion tracking and physical interaction patterns

Wenming Wu, Yuxin Wang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 615 , 2024, DOI: 10.62617/mcb615

Abstract：

The rapid expansion of e-commerce has reshaped consumer behavior. From the perspective of cellular and molecular biomechanics, understanding how users interact with online platforms becomes more crucial. This study analyzes consumer behavior via motion tracking and physical interaction patterns, focusing on variables like browsing time. When observing 126 Chinese participants on a simulated platform, we considered the influence of age, gender, etc. At the cellular level, gender differences in dwell time might relate to different neural cell activities and molecular signaling pathways in the brain. Male participants’ longer hover durations ( p = 0.03) could imply varied cognitive processing at the molecular level compared to females. Cluster analysis showed three user groups, and Cluster 2’s higher engagement might be due to better cellular energy utilization and more efficient neuromuscular coordination for operating the platform. The results stress the importance of grasping these underlying biomechanical aspects of user behavior. Motion-tracking data can offer insights to optimize platform design, enhance user experience, and improve conversion rates, contributing to the literature on human-computer interaction in e-commerce.

Open Access

Article

Prolonged survival in epithelial ovarian cancer patients: Efficacy and safety of cytoreductive surgery combined with hyperthermic intraperitoneal chemotherapy

Xiaogang Lv, Wenjuan Wu

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 753 , 2024, DOI: 10.62617/mcb753

Abstract：

Objective: To investigate the effects of Cytoreductive surgery (CRS) combined with Hyperthermic intraperitoneal chemotherapy (HIPEC) on the clinical efficacy and safety of Epithelial ovarian cancer (EOC) patients. Methods: We selected 120 EOC patients treated in the Affiliated Cancer Hospital of Guangzhou Medical University during July 2010 to July 2020 as retrospective case-control study subjects. They were divided into 60 cases in the observation group (CRS and HIPEC) and 60 cases in the comparison group (CRS) according to the principle of balanced clinicopathological characteristics. Adverse effects and prognosis-related factors, Overall survival (OS) and safety were analyzed in the two groups. Results: The results of multifactorial Cox regression analysis showed that CC score [ P = 0.013, HR (95%CI) = 2.153 (1.014−7.638)], postoperative chemotherapy cycle [ P = 0.045, HR (95%CI) = 2.056 (2.004−6.730)], and treatment method [ P = 0.025, HR (95%CI) = 2.409 (1.000−5.814)], lymph node status P = 0.019, [HR (95%CI) = 1.221 (1.032−10.136)], and ascites volume P = 0.034, [HR (95%CI) = 2.459 (1.072−5.643)] were independent influences on overall survival. Conclusions: CRS and HIPEC prolonged overall survival in patients with recurrent EOC with a high safety profile.

Open Access

Article

Biomechanical convergence of virtual reality and brand design for enhancing physical consumer engagement

Fujuan Zhang, Qiyi Liang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 568 , 2024, DOI: 10.62617/mcb568

Abstract：

Virtual Reality (VR) has become a transformative tool in brand marketing, allowing for immersive, interactive consumer experiences that transcend traditional media. While emotional and cognitive engagement in VR environments has been extensively studied, the impact of biomechanically-informed interactions on consumer behavior remains underexplored. This study investigates how physical engagement in VR, through metrics such as joint angles, muscle activation, and interaction frequency, influences cognitive outcomes like brand recall and emotional responses such as immersion and satisfaction. Thirty-six participants engaged with branded content in three distinct VR environments—a clothing store, a luxury car showroom, and a home decor studio—while their physical movements were tracked using motion capture and electromyography (EMG) sensors. The results showed that environments demanding more significant physical interaction, such as the car showroom, led to higher muscle activation, longer interaction times, and more excellent brand recall. Repeated measures Analysis of variance (ANOVA) and correlation analysis further revealed significant relationships between physical engagement and cognitive-emotional metrics, suggesting that VR environments designed with biomechanics in mind can enhance the user experience and the effectiveness of brand interactions. This research provides valuable insights into the convergence of biomechanics and VR brand design, with implications for the future of consumer engagement in virtual.

Open Access

Article

Physical activity and mental health: Exploring the role of movement and posture in reducing stress and enhancing well-being

Tiantian Li, Fang Liu, Lei Zhang, Chao Ma

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 649 , 2024, DOI: 10.62617/mcb649

Abstract：

In recent years, mental health issues such as stress, anxiety, and depression have become increasingly prevalent worldwide, necessitating the exploration of practical and accessible interventions. This paper investigates the role of physical activity and posture in reducing stress and enhancing mental well-being, focusing on everyday movements and body alignment. Drawing on existing research, we explore the neurochemical and psychological mechanisms by which physical activity influences mental health, emphasizing the impact of both moderate and high-intensity exercises. The role of proper posture in managing stress and promoting relaxation is examined, focusing on postural interventions such as ergonomic adjustments and mindfulness practices. A case study conducted in Shanghai, China, assesses the effectiveness of a workplace-based intervention involving physical activity and posture correction among employees with high stress levels. In the 12-week intervention, participants in the intervention group experienced a 25% reduction in perceived stress, a 30% decrease in anxiety, and a 20% reduction in depressive symptoms. Physiological markers also improved, with a 15% increase in heart rate variability (HRV) and an 18% reduction in cortisol levels. In contrast, the control group showed no significant changes. These findings underscore the value of integrating regular physical activity and posture correction into daily routines to enhance psychological and physiological well-being. The study concludes with practical recommendations for incorporating these interventions into workplace and personal environments to promote long-term mental health.

Open Access

Article

Functional fitness training for the prevention of acute foot and ankle sports injuries

Shu Qiao

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 161 , 2024, DOI: 10.62617/mcb161

Abstract：

The development of competitive sports makes the development of school sports more scientific. However, as the development progresses, the incidence of sports injuries increases each year. In all kinds of sports, the risk of ankle injury is greatest due to the lack of venue and preparation. If the sports injury is not handled properly, it is easy to lead to complications such as traumatic arthritis. This article is a research analysis on the prevention of acute foot and ankle sports injuries, using machine learning algorithms to use functional gait detection to study foot sports injuries. Studies have shown that after 12 weeks of functional physical training, cadence increases by 10% from the initial period and by 2% after 6 weeks of functional physical training. The total of both sides increased by 6% compared with the initial period and increased by 3% compared with that after 6 weeks of functional physical training. Distance traveled per minute increased by 17% compared to the initial period and increased by 6% compared to 6 weeks of functional physical training. Experiments have shown that functional training can identify human body function defects and asymmetric behaviors by observing human movement patterns, and can achieve body tissue remodeling through targeted functional exercise.

Open Access

Article

Study on the biomechanical effects of magnetic nanomaterials in body injury repair within the context of music intervention

Hailing Wang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 228 , 2024, DOI: 10.62617/mcb228

Abstract：

With the progression of science and technology, the application of magnetic nanomaterials in the medical domain has drawn increasing attention. Their remarkable high surface area and biocompatibility endow them with potential in the restoration of body tissues from a biomechanical perspective. This article explores the application of magnetic nanomaterials for the repair of body injuries under the influence of rhythmic music within the framework of biomechanics. The enhanced wavelet threshold denoising algorithm is employed to refine the rhythmic music, aiming to acquire music with better biomechanical-stimulating qualities. The subjects are randomly segregated into four cohorts, namely the control group (Group A), the magnetic nanomaterial group (Group B), the music intervention group (Group C), and the music intervention + magnetic nanomaterial group (Group D). The research findings manifested that, under otherwise identical conditions, the biomechanical recovery time of Group A subjects ranged from 9 to 10 days. For Group B subjects, it was between 7 and 8 days. Group C subjects had a biomechanical recovery time of 8 to 9 days, whereas that of Group D subjects was between 4 and 5 days. The P value among Group A, Group B, and Group C exceeded 0.05. However, the P value between Group D and Groups A, B, and C was less than 0.05, signifying that magnetic nanomaterials could substantially enhance the biomechanical repair efficacy of body injuries when combined with rhythmic music intervention.

Open Access

Article

The impact of strobe visual training on the sports vision abilities of elite clay target shooters

Dongxu Gao, Beishi Hu, Tinggang Yuan, Qingshou Guo, Pengfei Wei, Yang Wu, Chao Chen

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 910 , 2024, DOI: 10.62617/mcb910

Abstract：

Background: The act of clay target shooting is widely considered to be among the most challenging activities and visual abilities may serve as a limiting factor in shooting performance. Investigating the influence of Stobing visual training on the motor visual ability and special performance of elite clay target shooters. Method: The study involved 26 elite athletes from the Chinese national clay target shooting team (11 males, 15 females), divided into experimental group ( n = 13) and control group ( n = 13), subjected to eight weeks of general and specialized strobe visual training through experimental methods, utilizing Senaptec testing system to assess the athletes’ motor visual ability, utilizing the result of two qualification races to assess the special performance, analyzing the impact of SVT on the motor visual ability and special performance of clay target shooters. Statistical analysis of the results was performed using Mann-Whitney U rank sum test, independent samples t -test, Wilcoxon signed-rank test, or paired samples t -test. Results: There was no statistical difference in any of the sports vision ability indicators between the experimental group and the control group before the intervention ( P > 0.05). Post intervention, except for visual clarity, contrast sensitivity, and perception depth ( P > 0.05), all other indicators and the result of special performance showed significant differences ( P < 0.05). Conclusion: Long-term strobe visual training intervention resulted in improved perceptual and motor visual abilities in clay target shooters, displayed as enhanced indices in target capturing, reaction time, decision mechanisms, hand-eye coordination, distance switching, perceptual range, and multi-target tracking ability software indices combined with the special performance. However, the long-term intervention of strobe visual training didn’t show notable improvement and promotion on visual system hardware indices.

Open Access

Article

Biomechanical approaches to language learning investigating the impact of kinesthetic activities on Japanese pronunciation and fluency

Junchao Luo

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 945 , 2024, DOI: 10.62617/mcb945

Abstract：

This study investigates the impact of biomechanics-based kinesthetic activities on Japanese pronunciation accuracy and speech fluency among intermediate learners. A quasi-experimental design was employed, with 50 participants randomly assigned to either an experimental group ( n = 25) that engaged in biomechanical interventions or a control group ( n = 25) receiving traditional language instruction. The experimental group participated in a 10-week program, incorporating articulation exercises, respiratory training, rhythmic gestures, and posture alignment aimed at optimizing speech production. Pronunciation accuracy and fluency were assessed before and after the intervention using standardized scoring rubrics and speech analysis software. The results indicate significant improvements in both pronunciation accuracy and fluency in the experimental group compared to the control group. Specifically, the experimental group showed a marked increase in pronunciation scores (from 2.8 to 4.1) and a higher speech rate (from 120 to 150 words per min) with fewer pauses (from 8 to 4 per min). Statistical analysis, including independent samples t -tests and one-way ANOVA, confirmed the effectiveness of the kinesthetic interventions, with post-hoc Tukey HSD tests revealing significant differences between the groups. The findings suggest that integrating biomechanics-based kinesthetic activities into language instruction can significantly enhance learners’ pronunciation and fluency, providing a more holistic approach to language acquisition. Future research should explore the long-term impact of these interventions and their applicability to other languages.

Open Access

Article

Optimizing physical education movements through biomechanical analysis: A new approach to reducing the risk of sports injuries

Xianqi Huo

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 502 , 2024, DOI: 10.62617/mcb502

Abstract：

Physical education is crucial for fostering student’s health, fitness, and lifetime active behaviors. However, using inappropriate movement skills during Physical activity may raise the risk of sports injuries. Biomechanical analysis is a scientific approach to studying the movement of students that focuses on the forces and mechanics of physical activity. The study’s goal is to develop physical education motions using biomechanical analysis and a deep learning (DL) method to reduce the risk of sports injury. This study proposed a novel turbulent flow of water-based adjustable long-short-term memory (TFW-ALSTM) to classify and predict the high risk of sports injuries. Using advanced motion capture data and biomechanical modeling techniques, the study identifies improper movement patterns that can lead to injury during common physical education activities. The data was preprocessed using normalization and Kalman filters to reduce noise from the data. Discrete wavelet transforms (DWT) to extract the features from preprocessed data. The system offers beneficial suggestions to enhance movement efficiency through biomechanical data analysis. Experimental results reveal that the suggested model achieves accuracy (98.2%), recall (97%), specificity (98.1%), and an F1-Score (98%), particularly in dynamic activities like running and leaping, reducing the risk of injury considerably to compare existing algorithms. The study emphasizes the significance of integrating biomechanical knowledge and prediction models to enhance injury prevention measures in physical education programs. This approach provides educators and coaches with a dependable and effective tool for ensuring safer and more efficient student engagement.

Open Access

Article

Biomechanical analysis and tactical awareness cultivation of badminton players’ variable speed running training

Weiguo Li

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 458 , 2024, DOI: 10.62617/mcb458

Abstract：

In recent years, the combination of machine learning (ML) and computer vision has influenced sports training approaches, notably for monitoring player performance. This research gives a detailed biomechanical analysis of badminton players during speed-running training, using insights from ML techniques. Key biomechanical metrics such as gait, speed, and acceleration are assessed by tracking players’ motions and the dynamics of their running patterns using computer vision techniques. The badminton stroke video dataset was collected from the Kaggle source. To ensure high-quality input for analysis, the data preprocessing stages include video stabilization with the Kalman filter, noise reduction with Gaussian smoothing, and frame extraction using temporal sampling. Feature extraction approaches like the histogram of oriented gradients (HOG) are used for shape recognition and optical flow for motion tracking. The study provides the use of a simulation environment built on a Modified Ant Lion Optimized Decision Trees (MALO+DT) model trained on historical training data, which allows for the prediction of player movement and biomechanical adjustments based on contextual features such as environment variations and player fatigue. The findings demonstrate that speed running training improves tactical awareness and decision-making in dynamic environments. The performance of the suggested approach was evaluated on the Python platform. The model achieves good prediction accuracy (98.3%), recall (97.4%), F1-score (98%), and precision (97.5%), demonstrating a model's abilities for analysis the effect of training on player biomechanics. Furthermore, the significance of this study is assessed for tactical awareness development, providing coaches and analysts with actionable insights to enhance practices and increase player performance. The findings show that combining biomechanical analysis with speed running training significantly improves players’ adaptability and responsiveness during matches, resulting in a more strategic approach to badminton teaching.

Open Access

Article

The clinical efficacy and influencing factors of HpD-photodynamic therapy in the treatment of high-grade vaginal squamous intraepithelial lesions

Jing Yang, Rongdong Zeng, Xiaogang Lv

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 802 , 2024, DOI: 10.62617/mcb802

Abstract：

Objective : To investigate the efficacy and safety of HpD-photodynamic therapy in the treatment of high-grade vaginal squamous intraepithelial lesions. Methods : Fifteen patients diagnosed by pathology as vaginal HSIL were selected from January 2020 to September 2022. PDT was performed by 630 nm laser 48 h–72 h after intravenous injection of 2.0 mg/kg–2.5 mg/kg hematoporphyrin derivative. The power density is 100 mW/ cm 2 ，the irradiation time is 30 min, and the energy density is 180 J/cm 2 . The curative effect was evaluated by histopathological biopsy and HPV examination 3–6 months after operation. The numerical pain rating scale (NPRS) system was used to record the intraoperative and postoperative pain. Patient’s satisfaction was self-evaluated during the operation, the adverse reactions and complications were observed at 1 week, 1 month and 3–6 months after operation. Results : 15 patients were treated using PDT. After 3–6 months，8 cases were reported complete remission (CR), 3 cases were reported partial remission (PR) and 4 cases were reported no remission. The effective rate was 73.3%. All 15 patients were high-risk HPV infected and the clearance rate was 26.7% (4/15). 6 patients（40%）had tolerable lower abdominal pain within 1 week after operation, 4 patients (26. 7%) had tolerable lower abdominal pain within 1 week after operation (NPRS was 0. 73 ± 1. 2 and 0. 47 ± 0. 8) and 1 patient had local photosensitive reaction. Conclusions : PDT is effective, safe and non-invasive in the treatment of high squamous intraepithelial lesions of the vagina. It is worthy of clinical promotion and application.

Open Access

Article

Research on innovation of backbasket throwing embroidery ball supported by biomechanics and information technology

Hua Xiao, Shijun Xu, Cong Zeng, Ling Li, Xiaochen Wang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 587 , 2024, DOI: 10.62617/mcb587

Abstract：

Objective: This study aims to inherit the national sports culture of throwing embroidered balls, combine technological innovation with the application of technological information, improve the competitive level and competition management level of the backbasket throwing embroidered ball. Method: Utilizing methods such as literature review and mathematical statistics to elucidate the evolutionary history of embroidered ball culture, analyze the development process of the backbasket throwing embroidery ball sport and throwing technology using biomechanics; Research innovative throwing techniques and tactical applications through comparative analysis of competition results. Result: There are problems with the lack of theoretical throwing techniques, imperfect competition rules, and inconsistent embroidery balls in competition. The training results of the short fast low ( α ≤ 30°) throwing method are outstanding, but insufficient stability leads to easy mistakes in competition, it requires athletes with good psychological qualities; The training performance of the long slow high ( α > 30°) throwing method is poor, but it has good stability and is easy to exert competitive ability in competitions. Conclusion: Emphasize the inheritance of ethnic sports culture and enhance social participation interest. The mixed throwing method, with short fast low throwing as the main method and long slow high throwing as the auxiliary method, can effectively improve the level of competition. Utilizing modern elements such as unmanned aerial vehicles and information technology management to improve the level of referees and promote the sustainable development of ethnic sports.

Open Access

Article

Evaluation and optimization of the effectiveness of intelligent devices in athletic injury rehabilitation training

Lulu Yu

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 674 , 2024, DOI: 10.62617/mcb674

Abstract：

People are prone to injuries during exercise, and effective rehabilitation training is crucial for restoring tissue function, reducing pain, and preventing further injuries. To more scientifically assist the injured in rehabilitation training, wearable intelligent devices can be used to assist the injured in diagnosing the sites of the injury, developing rehabilitation training plans, or providing training reminders. Firstly, the sites of the injuries are measured through sensors. Then, by inputting individual differences such as individual characteristics and physical health status into the device, a unique rehabilitation training plan is generated. Finally, the injured are urged and reminded through equipment to ensure that they can complete their rehabilitation plan on time and in the required amount. This can not only help the injured generate a scientific rehabilitation training plan in a timely and accurate manner, but also ensure the quality of rehabilitation training. Compared with traditional rehabilitation training, the score of using intelligent devices to assist the injured in rehabilitation training is higher than the score of traditional rehabilitation training, and the average score of rehabilitation training combined with intelligent devices is higher than 90 points. Intelligent devices can help injured individuals generate more scientific and effective rehabilitation training plans, while also supervising the execution of the plans. Intelligent devices have played a positive role in athletic injury rehabilitation training, helping injured individuals recover their health.

Open Access

Article

A biomechanical investigation of High-Intensity Interval Training: Enhancing athletic performance through strength and coordination

Yucai Gao, Zixuan Zhang, Qiuyu Yu, Zhihao Liu

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 960 , 2024, DOI: 10.62617/mcb960

Abstract：

The current research examines how a High-Intensity Interval Training (HIIT) program affects the biomechanical performance of sports science students who just started their university study at Shandong Normal University. The research checked biomechanical changes in 50 students (25 male, 25 female) through a 12-week HIIT program. Before and after the program, tests were run to see changes in their sports abilities. The tests looked at how well students could do physical activities without getting tired, how strong they were in basic exercises like bench press, squat, and deadlift, and how well they could move their body. Some special tests checked their quickness, balance, and hand-eye work. Also, special cameras recorded their movements to see if joints moved better. Test results showed students got much better in all areas after HIIT. The way their body moved also got better, which made them do sports better. Based on these results, HIIT seems to help young sports students get better at physical activities.

Open Access

Article

The role of biomechanics in enhancing spoken English proficiency through articulation and gesture analysis

Hongbin Yin, Hong Cai

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 613 , 2024, DOI: 10.62617/mcb613

Abstract：

This study investigates the biomechanical relationship between Articulation Clarity (AC) and gesture use in spoken English, focusing on how these elements contribute to Speech Fluency (SF), vocabulary retention, and comprehension. The research explores how the integration of articulation and gestures impacts communication effectiveness in English learners at varying proficiency levels. 78 participants were recruited, comprising intermediate and advanced English learners. The study employed a comprehensive biomechanical analysis using motion capture, acoustic analysis, and electromyography (EMG) to measure articulator movements (tongue, lips, jaw) and gesture dynamics (amplitude and frequency). The coordination between gesture and speech was analyzed through gesture-speech synchronization, while the effect of gestures on vocabulary retention and comprehension was assessed using Regression Analysis (RA). The findings revealed that advanced learners demonstrated significantly higher articulation clarity (mean amplitude of 67.9 dB) and more excellent Gesture Frequency (GF) (3.05 gestures/second) compared to intermediate learners. ANOVA results showed significant differences between proficiency levels in AC ( p = 0.042) and SF ( p = 0.008). RA indicated that gesture use positively impacted vocabulary retention (GF coefficient B = 2.15, p = 0.001) and comprehension (GF coefficient B = 1.98, p = 0.003). A moderate correlation was found between gesture amplitude and SF ( r = 0.69) and AC ( r = 0.54). Muscle activation data indicated increased effort during tasks with gestures, with significant differences in facial and upper limb muscle activation ( p < 0.01). The study concludes that articulation and gestures are critical in enhancing SF, clarity, and comprehension in English learners. Advanced learners exhibit better biomechanical coordination between speech and gestures, increasing their proficiency. Gesture use supports vocabulary retention and reinforces speech articulation, making it a valuable tool in language learning. These findings suggest that integrating biomechanical training for articulation and gestures could improve spoken English proficiency, especially for second-language learners.

Open Access

Article

The effect of family physical education environment on gross motor skills in preschool children

Zhao Jia, Borhannudin Bin Abdullah, Roxana Dev Omar Dev, Shamsulariffin Bin Samsudin, Dandan Tang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 750 , 2024, DOI: 10.62617/mcb750

Abstract：

The movement of our body is a part of our everyday life. The location and degree of movement give us the ability and capacity to perform simple to complex tasks. New or improved gross motor skills enable us to explore more of our environment. It ultimately allows more opportunities for learning and doing. This quantitative study investigates the effect of the home environment on the gross motor skills of children aged 5 to 6 years in Changzhi City, China. The sample included 124 parents and 66 children. The two main tools used were the ‘Test of Gross Motor Development-2’ (TGMD-2) and the ‘Children’s Family Physical Education Environment Questionnaire’. The data analysis through these tests found that a parent-child physical activity intervention program significantly improved children’s gross motor skills. Post-intervention results indicated a strong relationship between parents’ attitudes towards physical education and enhancing their children’s motor skills. However, no significant relationship was found between the availability of sports materials at home before and after the intervention in the treatment group. These findings suggest that to improve children’s gross motor skills effectively, parents should actively engage in physical activities with their children and maintain a positive attitude towards physical education. The study highlights the critical role of parental involvement and attitudes in fostering children’s physical development within the home environment.

Open Access

Article

Gut microbiota affects aneurysms through biomechanical mechanisms: A mendelian randomization study

Renjie Li, Yi Xu, Tao Cheng

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 303 , 2024, DOI: 10.62617/mcb303

Abstract：

Purpose: To assess any potential associations between gut microbiota (GM) and aortic aneurysm and cerebral aneurysm in biomechanics (AA and CA). Methods: We performed a two-sample Mendelian randomization (MR) to assess the causal association between GM and AA, CA. The inverse-variance weighted (IVW) model was used as the main analytical method and was followed by sensitivity analysis, including heterogeneity test, horizontal pleiotropy test, and leave-one-out analysis, to appraise the robustness of the MR results. Results: Our IVW results showed that RuminococcaceaeUCG005 [OR = 1.43, 95% CI (1.17,1.76), P = 0.000] and Roseburia [OR = 1.16, 95% CI (1.00,1.34), P = 0.049] were positively associated with AA, while Prevotella9 [OR = 0.81, 95% CI (0.68,0.96), P = 0.022] and RuminococcaceaeNK4A214 [OR = 0.72, 95% CI (0.57,0.89), P = 0.003] were negative. Meanwhile, we also found that Betaproteobacteria [OR = 1.53, 95% CI (1.08,2.17), P = 0.017], cCoriobacteriaceae [OR = 1.39, 95% CI (1.07,1.80), P = 0.012], Eggerthella [OR = 1.34, 95% CI (1.12,1.61), P = 0.002], Burkholderiales [OR = 1.59, 95% CI (1.11,2.28), P = 0.011], Dorei [OR = 1.19, 95% CI (1.01,1.40), P = 0.038] and Dorea [OR = 1.09, 95% CI (1.00,1.18), P = 0.044] were positively correlated with CA, and there was a negative association between Bifidobacteriales [OR = 0.73, 95% CI (0.57,0.95), P = 0.018] and CA. Sensitivity analysis showed no facts of reverse causality, pleiotropy, and heterogeneity. Conclusions: Our study demonstrates that RuminococcaceaeUCG005 and Roseburia are related to an increased risk of AA, Prevotella9, and RuminococcaceaeNK4A214 can reduce the risk of AA. On the other hand, Coriobacteriaceae, Eggerthella, Burkholderiales, Dorei and Dorea are related to an increased risk of CA, Bifidobacteriales can reduce the risk of CA. In addition, gut microbiota may affect the occurrence of aneurysms through biomechanical mechanisms such as the elasticity and strength of blood vessel walls.

Open Access

Article

Investigating the correlation between EEG brainwave patterns and English reading proficiency using biosensors

Duo Ma, He Liu, Deyi Li

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 895 , 2024, DOI: 10.62617/mcb895

Abstract：

Reading ability is a complex cognitive activity affected by various neural mechanisms. This research aims to examine the relationship between brain activity, as measured by non-invasive biosensors, specifically an electroencephalogram (EEG), and English reading ability. Specifically, the research investigates how different brainwave patterns (alpha, beta, and theta waves) relate to reading speed, comprehension, and accuracy across different levels of reading proficiency. Biosensors, in EEG devices, suggest a non-invasive means of monitoring brain functions in real-time, giving extensive vision into cognitive functions correlated with reading performance. Seventy native Chinese-speaking university students in China were selected as participants for this research. Based on their performance in word recognition, sentence comprehension and abstract reading, the participants are divided into high, intermediate, and low proficiency groups. While participants are performing the reading tasks, their brain activity was recorded using a 32-channel EEG system. The three main frequency bands for EEG set up are, theta waves, 4–7 Hz; alpha waves, 8–12 Hz; and beta waves, 13–30 Hz. The EEG-based biosensor system offers high resolution data, allowing very precise measurements of brainwave activity, which are directly correlated with cognitive states during reading tasks. Correlation analyses, one-way ANOVA, and multivariate regression models were applied to check the associations between brainwave power and reading performance in the context of proficiency groups. The outcome suggests that higher alpha and beta wave activity was related to greater reading proficiency, with higher beta waves being related to higher speeds as well as better comprehension, while theta waves were again more pronounced in low-proficiency readers on complex tasks. These results suggest that EEG-based biosensors assessments should be used to measure cognitive states related to reading proficiency and may offer a new avenue for personalized educational intervention.

Open Access

Article

Application of biomechanical insights in the “Second Classroom Report Card” in mental health education for college students in the big data era

Yiwen Peng, Xiaodong Jia

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 733 , 2024, DOI: 10.62617/mcb733

Abstract：

The construction of a comprehensive, reasonable, and scientific evaluation system for the mental health level of college students is a prerequisite for a high-quality mental health education. With the arrival of the big data era and the promotion and implementation of the “Second Classroom Report Card” system in colleges and universities nationwide, a new approach has been provided for the evaluation of college students’ mental health level. The article deeply analyzes the main problems in traditional evaluation of college students’ mental health level and explores how big data can enhance these evaluations. Furthermore, we introduce the biomechanical aspects that influence mental health, such as the impact of physical activity on psychological well-being and the role of movement patterns in stress reduction. Empirical analysis, it is proved that there is a strong correlation between the scores of college students’ second classroom course projects—often involving physical activities—and their mental health level. By integrating biomechanical principles, we can better understand the physical factors that contribute to mental health, thereby enriching the evaluation framework. The establishment of “big data + biomechanical insights + mental health level” evaluation system based on the “Second Classroom Report Card” has improved the timeliness, pertinence, and scientificity of mental health education work in colleges and universities. This approach not only facilitates a more holistic understanding of student well-being but also promotes the importance of physical health in maintaining mental wellness.

Open Access

Article

Characteristics and cellular and molecular biomechanical influencing factors of resilience: A cross-sectional study of nurses experiencing workplace violence in Jiangsu China

Jing Sun, Faridah Mohd Said, Beng Geok Tan

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 598 , 2024, DOI: 10.62617/mcb598

Abstract：

Objective: To investigate the resilience status of nurses after workplace violence and its influencing factors from the perspective of cellular and molecular biomechanics. Methods: From April to July 2024, a cross-sectional questionnaire study was conducted utilizing the General Information Questionnaire, the Medical Staff Resilience Scale (MSRS), the Workplace Violence Scale (WVS), the General Self-Efficacy Scale (GSE), and the Perceived Social Support Scale (PSSS) on a sample of 375 nurses who had been victims of workplace violence at six tertiary-level A general hospitals and three secondary-level hospitals in Jiangsu Province, China. The data were subsequently analyzed. Results: The nurses’ resilience score was (72.37 ± 10.19) with a mean score of (4.02 ± 0.57). Multiple regression analysis showed that age, work experience, title, monthly income, self-efficacy, and social support independently influenced their resilience. ( P < 0.05). Pearson’s correlation analysis revealed a positive correlation between carers’ levels of resilience with generic self-efficacy scale and social support ( P < 0.01), and a negative correlation of resilience with workplace violence ( P < 0.01). Conclusion: The resilience scores of nurses who had suffered workplace violence were found to be at a moderate level. Stressors from workplace violence might trigger complex intracellular signaling pathways and molecular changes in nerve cells and endocrine cells of nurses. Hormonal imbalances could further affect neurotransmitter systems and molecular cascades related to mood regulation and stress adaptation, thereby influencing the nurses’ resilience. Higher self-efficacy could potentially enhance the activation of positive molecular pathways and the expression of certain genes related to stress resistance. Social support might buffer the negative impacts of workplace violence on cellular and molecular mechanisms by providing additional resources and positive molecular signals. It is recommended that managers consider the effects of age, years of work experience, job title, and monthly income when developing strategies to enhance resilience. It is also the responsibility of managers to facilitate the mobilization of resources, both internal and external, related to self-efficacy and social support. Furthermore, they should construct targeted training courses based on an analysis of the mechanisms involved in the occurrence of workplace violence, to improve the resilience of nurses.

Open Access

Article

Application of deep learning algorithm in color matching automation of packaging design

Huichao Zhang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 693 , 2024, DOI: 10.62617/mcb693

Abstract：

Color has a strong psychological implication. In today’s society, ordinary consumers not only require products to have corresponding functional uses but also seek their spiritual functions to ensure emotional communication between the product and the user. Therefore, the product color with emotional experience has become the goal pursued by enterprises, the spiritual connotation of color has also become the consumer’s consumption requirements, and the perceptual image of the product determines whether consumers have a demand for the corresponding product. Based on this, this paper takes household electrical soybean milk machine as an example, using multi-scale analysis and cluster analysis methods to get the perceptual image vocabulary that can represent the color of product packaging. On this basis, BP neural network is used to establish the perceptual image vocabulary and product packaging color matching model. The simulation results show that it is feasible to establish the association model between perceptual image and color matching by BP (back propagation) neural network.

Open Access

Article

Application of human-computer interaction technology integrating biomimetic vision system in animation design with a biomechanical perspective

Jing Han

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 468 , 2024, DOI: 10.62617/mcb468

Abstract：

The combination of Human-Computer Interaction (HCI) technology with biomimetic vision systems has transformational potential in animation design, particularly by incorporating biomechanical principles to create immersive and interactive experiences. Traditional animation approaches frequently lack sensitivity to real-time human motions, which can restrict engagement and realism. This study addresses this constraint by creating a framework that uses Virtual Reality (VR) and Augmented Reality (AR) to generate dynamic settings that include a variety of human activities, informed by biomechanical analysis. A biomimetic vision system is used to record these motions with wearable sensors, allowing for precise monitoring of user activity while considering biomechanical factors such as joint angles, force distribution, and movement patterns. The recorded data is preprocessed using Z-score normalization methods and extracted using Principal Component Analysis (PCA). This study proposed an Egyptian Vulture optimized Adjustable Long Short-Term Memory Network (EVO-ALSTM) technique for motion classification, specifically tailored to recognize biomechanical characteristics of human movements. Results demonstrate a significant improvement in precision (93%), F1-score (91%), accuracy (95%), and recall (90%) for the motion recognition system, highlighting the effectiveness of biomechanical insights in enhancing animation design. The findings indicate that integrating real-time biomechanical data into the animation process leads to more engaging and realistic user experiences. This study not only advances the subject of HCI but also provides the framework for future investigations into sophisticated animation technologies that use biomimetic and biomechanical systems.

Open Access

Article

Research on monitoring college students’ sports psychological stress response and ideological and political education intervention based on biosensors

Zheyu Jin, Qingbao Wang, Fanjun Meng, Jiuyang Xu

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 537 , 2024, DOI: 10.62617/mcb537

Abstract：

The current study aims to find out the psychosocial stress reactions of college students involved in sports and assess the impact of ideological and political education (I&PE) treatment based on the biosensor. Thus, we plan to use the biosensors including the heart rate monitors and the skin conductance devices to define the level of physiological stress in physical activities. The study also evaluates the extent to which the organizationally developed I&PE program effectively reduces psychological stressor by promoting resilience improvement, ideological awareness, and community support. This makes the research investigate the correlation between biosensor-based performance data on sports, stress and impressions of I&PE together with non-quantitative participants’ feedback. The outcomes of the study will identify stress management among college sports with potential biosensor use in educational contexts. This study fosters the sciences of sports psychology, interventional education, and mental health with a view of developing an all-inclusive student well-being framework.

Open Access

Article

Construction of a risk assessment and prediction model for athlete doping use based on bioinformatics

Lu Zhang, Hongtao Tian

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 446 , 2024, DOI: 10.62617/mcb446

Abstract：

A suitable approach to identifying doping behavior among athletes is to use advanced techniques. Bioinformatics can analyze large biological databases. It has potential approaches for mapping out decision models. Doping substances can severely distort an athlete’s biomechanical performance. For example, stimulants may enhance short-term power output but disrupt the natural rhythm and coordination of muscle contractions, leading to imbalanced forces and increased risk of musculoskeletal injuries. This abnormal biomechanical loading can affect joint stability and movement efficiency. n training, doping gives a false impression of enhanced capacity. Athletes might overtrain, ignoring proper recovery periods. Their bodies, under the influence of doping, can’t follow the normal adaptive process of training, leading to a breakdown in the physiological systems. Recovery is also hampered. Doping can disrupt the body’s hormonal and metabolic balance, slowing down tissue repair and regeneration. Genetic predispositions, which might make an athlete more receptive to doping’s effects, along with lower recovery rates and high competitive stress levels, are identified as key doping risk factors. Bioinformatics collects multi-source data like genomic profiles, hormone levels, and metabolic markers. Advanced tools analyze these to expose patterns and correlations related to doping risks. Machine learning trains a prediction model using historical doping data and biological signatures. Validated via simulations and real-world tests, it predicts doping risks. Sports authorities can use the resulting risk matrix to detect potential dopers early, promoting clean sports.

Open Access

Article

The construction of sports training quality evaluation model based on sensor data

Wandong Pan, Jie Guo, Shu Zhang, Yuehua Fu

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 812 , 2024, DOI: 10.62617/mcb812

Abstract：

Based on the visual quality of the training evaluation as a technology is closely related to People’s Daily life, has the very high research value, and in the near future will be in medical, health, security, etc. has a broad application prospect. In the human body based on visual training quality evaluation in the research of this field, human action recognition technology is one of the core technology, is also a research hotspot recently. The technology is mainly to solve the classification problem of human actions, but in practice, it is not enough to study classification problem, sometimes need to evaluate the quality of the completion of human action, namely human motion evaluation technology, provides the user with feedback, correct mistakes, thus improve the action degree of standardization. This paper analyzes and compares all kinds of action selection radio gymnastic sports training as a quality evaluation object, and using Microsoft’s depth camera device as acquisition equipment, data to obtain three-dimensional skeleton of the body joints. Human bone joint data from the device has the problem of “distortion”, this paper adopted the average filtering algorithm for data preprocessing, the experimental results show that average filtering algorithm can not only protect. The high sensitivity and good smoothing effect.

Open Access

Article

Insight of embodied experience: Influencing tourists’ behavior in mass participant sports event

Xin Xu

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 788 , 2024, DOI: 10.62617/mcb788

Abstract：

Sports events hold significant cultural, tourism, and societal value. With the growing popularity of sports events, mass participation sports events (MPSE) have become a focal point of research. Existing literature on MPSE primarily emphasizes the organizational aspects of the events, while the embodied experiences from the participants’ perspective remain underexplored. This study uses the renowned Guangzhou Marathon in southern China as a case study. The objective is to investigate and enhance the understanding of the embodied experiences of MPSE tourists through a quantitative methodology, focusing on the biomechanical aspects of participation. Additionally, this study aims to explore the antecedents and consequences of embodied experiences in relation to physical engagement and movement dynamics. The findings highlight the crucial role of embodied experience in shaping tourists’ perceptions, physical interactions, and subsequent behavioral intentions. Specifically, the research indicates that tourists’ physical experiences impact perceived value, satisfaction, and loyalty intentions through both moderating and mediating effects. The study also emphasizes the importance of understanding the biomechanics of movement during events, which can enhance participant engagement and overall satisfaction. Sustainable event management strategies that consider the biomechanical implications of participant experiences are also proposed.

Open Access

Article

Drug-carrying properties and targeted delivery of biomimetic nanoparticles delivering wild baicalin and Adriamycin

Menglu Wang, Yulin Li, Songwei Zhao

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 661 , 2024, DOI: 10.62617/mcb661

Abstract：

The extensive application of biomaterials and nanotechnology in biomedical technology can enhance the drug-carrying performance and targeted therapeutic ability of drug nanoparticles. In the article, biomimetic nanoparticles of wild baicalin and adriamycin were prepared based on conventional means, and the drug release performance of SCU/DOX was analysed using drug release kinetics and the inhibitory effect of SCU/DOX nanoparticles on tumour cells. The nanoparticles were produced through nanotechnology after the main experimental scheme was prepared for the preparation of the basic medicine. At the same time, the study combines the biological electrical signal to obtain the value of the relevant measurement index. When the SCU/DOX nanodrug concentration was elevated from 10 μM to 16010 μM, the viability of mouse tumour cells was reduced from 82.54% to about 47.69%. This shows that nanoparticles can effectively deliver drugs. After the use of SCU drug alone and SCU/DOX nanoparticles, the IC50 values of both were 59.42 μM and 8.75 μM, respectively, with a reversal of resistance multiplier of 6.79-fold. Tumour cell treatment with SCU/DOX nanoparticles reduced the tumour volume from 15.1*102mm 3 to 6.05*102mm 3 and tumour weight by 64.14% in mice. The cumulative drug release from SCU/DOX nanoparticles was 11.18% at 2h, and higher than that of the esterase-free condition after 20h (17.61%). The data of the cumulative release of the drug show that the release of biomimetic nanoparticles can actually target the target. The unique quality of nanomaterials can allow drugs to release drugs in the set target environment. On the basis of this study, if clinical trials can also achieve good results, they are expected to be applied in practice. The preparation of baicalin and adriamycin mimetic nanoparticles based on the drug delivery system can enhance the drug-carrying property and target delivery effect of the drug, which can provide a reliable technical support to enhance the therapeutic effect of the disease.

Open Access

Article

Exploring the relationship between biometric data measured by sensors and psychological health outcomes in student management

Yangguang Chen

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 583 , 2024, DOI: 10.62617/mcb583

Abstract：

This study focuses on analyzing the correlation between automatically collected biometric data obtained through sensors and psychological well-being in relation to student management with the purpose of identifying how physiology can inform on student’s mental state. Heart rate interval, temp, and electrodermal activity (EDA) are the integral body parameters correlated with psychological state indicators, including stress, anxiety, and mood stability. Using a triangulation design of research, this study combines the quantitative academic performance data collected from the smart space biometric sensors with the qualitative data from a survey and interviews. The study adopted a stratified random sampling technique to identify two hundred students from disperse fields of study to increase the variability of the sample. Ad-hoc physiological data was captured using wearable sensors over a three months’ duration and related to psychological health assessment conducted using validated self-report questionnaires. Descriptive and correlation statistics were employed to determine the extent of relationship between the biometric variables and depression. Standard procedures of ethical conduct were observed as the participants signed informed consent, and their data was protected. The presented study is focused on revealing the possibility of using biometric data as an effective nonintrusive method to evaluate and improve the efficiency of student’s mental health management.

Open Access

Article

Portable oxygen breathing apparatus integrated with biosensors: Enabling intelligent monitoring and optimal oxygen provision for biomechanical homeostasis

Honghao Zhang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 535 , 2024, DOI: 10.62617/mcb535

Abstract：

A lightweight, compact, inconspicuous gadget that provides extra oxygen when traveling is called a portable oxygen breathing apparatus. Cells rely on oxygen to drive the oxidative phosphorylation process within mitochondria, where adenosine triphosphate (ATP) is synthesized. Adequate ATP is essential for maintaining the muscle contraction and cell motility. With these portable devices, patients can maintain their oxygen therapy while going about their daily lives, enhancing their quality of life (QoL) and encouraging more mobility. An incorrect assessment could result in a low oxygen supply during exercise. Hypoxia-induced changes can also trigger intracellular signaling pathways that may lead to cell damage and, in the long term, contribute to the progression of various pathologies. Promising resolution to the difficulties can be discovered by incorporating machine learning (ML) algorithms and sophisticated monitoring systems into portable oxygen delivery devices. In this study, we propose a novel intelligent portable oxygen breathing apparatus integrated with biosensors (IPOBAB) that has revolutionized the treatment of long-term respiratory disorders, particularly severe hypoxemia and chronic obstructive pulmonary disease (COPD). IPOBAB system deployed with the Dynamic Gradient Boosting Machine (DGBM) classifier to classify the physical activities into low, moderate, and high exertion levels to ensure oxygen delivery is repeatedly adjusted based on the patient’s current requirements. Inertial Measurement Unit (IMU) sensor data, blood oxygen saturation (SpO 2 ), and cardiovascular rate are just a few of the vital physiological features that biological sensors continuously monitor. This data lets doctors perform real-time assessments of a patient’s health status. To eliminate noise, the information was processed using a median filter. The Fast Fourier Transform (FFT), which displays dominating frequency components, divides the electrical signal into individual frequencies to extract features. The results demonstrated that the IPOBAB model exhibits a high weighted accuracy of 98.4% in mechanically adjusting oxygen flow according to medical criteria compared to existing algorithms. This indicates that the system is effective in optimizing oxygen delivery, which is essential for maintaining the proper cell and molecular biomechanical functions in patients with long-term respiratory disorders. In conclusion, the IPOBAB represents a significant advancement in portable oxygen therapy as it combines adaptive oxygen delivery and comprehensive monitoring, thereby optimizing the care for patients with long-term respiratory conditions and safeguarding the integrity and functionality of cells and tissues at the molecular level.

Open Access

Article

Market development trend and marketing strategy analysis of rehabilitation medical devices based on biomechanical principles

Yan Zhou, Li Wang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 866 , 2024, DOI: 10.62617/mcb866

Abstract：

Based on the principle of biomechanics, this study analyzes in-depth the development trend and marketing strategy of the rehabilitation medical device market. It is found that the market is characterized by expanding scale, product diversification and intensifying competition, driven by policy support, market demand and technological innovation, but still facing constraints such as market competition, insufficient investment in research and development and shortage of talents. Marketing strategies such as product innovation, reasonable pricing, channel expansion and brand promotion are proposed, and the effectiveness of the strategies is verified with case studies. In order to promote the healthy development of the industry, it is suggested to increase policy support, upgrade the industrial chain, cultivate professional talents and strengthen international cooperation.

Open Access

Article

Unraveling molecular mechanisms in growth plate development advancing pediatric orthopedic interventions

Ningjing Zeng, Ningzhi Yu, Chuyu Huang, Peng Yang, Guangxi Chen, Yan Liu

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 832 , 2024, DOI: 10.62617/mcb832

Abstract：

Dynamic Growth Plate based on Molecular Profiling (DGMP) represents a pioneering approach to understanding the intricate molecular processes governing growth plate development, essential for advancing pediatric orthopedic treatments. Growth plates, located at the ends of long bones, are pivotal for bone elongation during childhood and adolescence, but disruptions in their molecular and cellular regulation can result in developmental abnormalities and orthopedic deformities. DGMP integrates genomic, transcriptomic, proteomic, and epigenomic analyses to uncover cell-specific expression patterns and regulatory elements critical to growth plate formation. By leveraging high-throughput sequencing, single-cell RNA (Ribonucleic Acid) sequencing, and spatial transcriptomics, DGMP facilitates the identification of diagnostic biomarkers and enables the development of targeted pharmacological therapies tailored to children with defective growth plates. Furthermore, in silico models simulating cellular differentiation and pathway interactions provide predictive insights into the long-term effects of interventions on bone development. This innovative framework not only enhances early and accurate detection of growth-related disorders but also supports the design of personalized treatments, ultimately improving clinical outcomes for affected children. As a precision medicine tool, DGMP has the potential to transform pediatric orthopedics by resolving challenges related to molecular data integration, spatiotemporal dynamics, and therapeutic application, thereby advancing the understanding and treatment of growth plate disorders.

Open Access

Article

The research progress on sports applications in osteoarthritis

Xiongsi Tan, Ziyang Lin, Junzheng Yang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 501 , 2024, DOI: 10.62617/mcb501

Abstract：

 Osteoarthritis is a form of age-related, non-inflammatory, degenerative joint disease. It is characterized by pain, swelling, and bone hyperplasia; osteoarthritis has a high morbidity and high disability rate, which has a significant impact on the quality of life of patients worldwide. Engaging in sports has been demonstrated to reduce the risk of developing obesity, diabetes mellitus, and other metabolic diseases, additionally, it has been shown to enhance muscle quality, stabilize joints, improve motor coordination abilities, reduce pain and improve joint function in individuals with osteoarthritis, these findings highlight the potential for sports to play an important role in the management of osteoarthritis. In this review, we presented an overview of the pathogenesis of osteoarthritis, provided a summary of advancements in the utilization of sports in the management of in osteoarthritis, and discussed the underlying mechanisms and future application limitations, hope to provide the foundation for the prevention and treatment for osteoarthritis.

Open Access

Article

Understanding the biomechanics of music-induced emotions: A study of physical responses to rhythm and melody

Wenjing Wang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 702 , 2024, DOI: 10.62617/mcb702

Abstract：

This study investigated the biomechanical aspects of music-induced emotions through a comprehensive analysis of physical responses to rhythm and melody among 28 participants in China. Using high-precision physiological monitoring equipment, this study measured Heart Rate Variability (HRV), Muscle Activation (MA), Galvanic Skin Response (GSR), and Body Sway Patterns (BSP) in response to standardized musical stimuli. Results revealed distinct physiological response patterns between rhythmic and melodic elements. Rhythmic stimuli elicited more robust cardiovascular responses, with mean HRV increases of 15.4 ± 1.7 bpm during fast rhythms (132–144 BPM) compared to 5.2 ± 1.1 bpm for melodic features ( p < 0.001, d = 1.24). Muscle tension significantly correlated with rhythmic elements ( r = 0.81, p < 0.001) and demonstrated progressive adaptation, with response latencies decreasing from 285 ± 42 to 156 ± 28 ms over exposure time. Melodic features induced more varied responses, with ascending phrases increasing HRV by 4.8 ± 0.9 bpm while sustained notes decreased it by 3.6 ± 0.8 bpm. Analysis of self-reported emotions strongly correlated with physiological measures, particularly for high-intensity emotional states (concordance rate: 92.1 ± 3.2%, α = 0.91). The study revealed a hierarchical organization in rhythm processing, with MA showing the quickest response (178 ± 25 ms), followed by HRV (245 ± 35 ms) and GSR (475 ± 62 ms). These findings provide quantitative evidence for the differential impact of rhythmic and melodic elements on physiological responses, contributing to this work’s understanding of music-induced emotional processing and its potential applications in therapeutic contexts.

Open Access

Article

Molecular dynamics simulation of the solidification process of magnesium alloy medical materials

Yongxin Yang, Shaolong Yang, Jiang Li, Chenming Qu, Yashan Feng

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 438 , 2024, DOI: 10.62617/mcb438

Abstract：

The process of solidification, which includes the creation of ice, a liquid can become a solid by freezing solder in electrical circuits or casting metal in industrial settings. Magnesium alloys have developed as promising tools for biomedical applications due to their desirable properties such as low density, high strength, and excellent biocompatibility. These alloys are increasingly used in various applications and devices, where their performance is heavily influenced by their microstructure characteristics. The objective of the research is to establish a molecular dynamics simulation of the magnesium alloy medicinal material solidification process. Magnesium alloys widely recognized for their biocompatibility and biodegradability are increasingly used in medical implants. In this study, MD simulations are applied to represent the atomic interactions and microstructural development during the solidification process. During the solidification phase, the simulation advances, tracking the emergence and expansion of solid nuclei while varying cooling rates to investigate their effects on the dynamics of solidification. This research parameter, such as temperature variations, cooling rates, and phase transformations, is analyzed to reveal the nucleation and growth of solid phases. Two appropriate force fields that are used to explain the possible energy interactions between atoms are the modified embedded atom method (MEAM) and the embedded atom method (EAM). The findings shed light on the kinetics of crystallization and the impact of alloy composition on solidification behavior. This study provides useful suggestions for improving the performance and dependability of magnesium alloys in biomedical equipment.

Open Access

Article

The influence of Taijiquan on athletes’ body control ability was analyzed based on sports biomechanics

Yu Yang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 505 , 2024, DOI: 10.62617/mcb505

Abstract：

Background: The growing number of Taijiquan practitioners has sparked considerable curiosity from studies on the responsibility of Taijiquan exercise. Numerous researches have been undertaken using various methods to examine the impact of Taijiquan on physical and mental wellbeing. Objective: The purpose of this paper is to look at the biomechanical effects of Taijiquan practice on athletes’ ability to control their body equilibrium. Methods: 160 athletes (90 experimental groups and 70 control group) were assigned by chance to two groups. There were no significant variations in age, height, weight, or training time. The experimental group undergoes Taijiquan exercises for 8 months. The control group didn’t perform any exercises. After 8 months, athletes in the two groups were tested for the Functional Reach Test (FRT), Stork Stand Test (SST), and plantar pressure measurement (PPM) and paired t -test. Results: The experimental group demonstrated improved FRT, SST, and PPM, indicating that Taijiquan practice improved equilibrium and stability during accomplishment activities. The experimental group demonstrated longer bearing maintenance, stability control, and a smaller average pressure area, indicating more capable pressure. Additionally, creative stability measurements were lower, indicating improved foot stability and control. Conclusion: Overall, the data indicates that the Taijiquan training considerably improves athletes’ body balance organizing ability, with positive impacts on both dynamic and static balance actions.

Open Access

Article

Studies on the mechanical properties of microalgae and their effects on growth, breeding and extraction quality

Yanran Liu

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 816 , 2024, DOI: 10.62617/mcb816

Abstract：

Microalgae is becoming a crucial research topic because of global resource shortage, pollution, and population growth make. This paper focuses on the mechanical properties of microalgae cells, including the characterization of cell stiffness, adhesion force, and deformability and their applications in growth regulation and breeding. Understanding cell behavior provides significance and serves as a basis for screening and cultivating microalgae. It analyzes the effects of mechanical factors, including light, temperature, and fluid shear stress on microalgae growth and emphasizes the importance of optimizing these conditions. It discussed high-throughput screening techniques in microalgae breeding and the correlation between mechanical properties and superior traits. With regard to microalgae processing, the paper examines the role of cellular biomechanics in harvesting, extraction, and product quality optimization, including the selection and optimization of harvesting methods, the evaluation of cell fragmentation efficiency, and the relationship between product quality and mechanical properties. The paper presents case studies on specific microalgae species like Chlamydomonas reinhardtii and highlights its potential to optimize culture conditions, promote product diversification, drive technological innovation, support environmental protection, and enhance interdisciplinary cooperation.

Open Access

Article

Prevention of knee joint injuries in football basic training under the constraints of biomechanics model

Jinhui Li, Wei Fu

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 993 , 2024, DOI: 10.62617/mcb993

Abstract：

Traditional research on knee injury prevention lacks scientific and targeted research due to the lack of biomechanics quantitative analysis and the failure to fully incorporate the specificity of football, making it difficult to effectively reduce the risk of injuries to athletes. This paper solves the problems of insufficient quantification and lack of specificity in traditional research by introducing a biomechanics model. This paper uses open source 3D modeling software to construct an anatomical model of the knee joint, uses an ordinary camera combined with Kinovea software to analyze the motion trajectory of the knee joint, uses IMU (Inertial Measurement Unit) sensors to collect motion data, and uses OpenSim software to perform force analysis. Based on these analysis results, this paper designs a personalized knee injury prevention training program and conducts a basic training comparison experiment. The medial-lateral stress ratio of the knee joint in the experimental group is eventually reduced to 0.92, which reduces the peak force on the knee joint, improves knee joint stability, and the injury risk score fluctuation decreases during training, with the lowest being 7.3. The results show that the solution proposed in this paper provides scientific, systematic and practical guidance for the prevention of knee injuries in basic football training, and improves the safety and effectiveness of training.

Open Access

Article

Biomechanics identification and risk management strategy of volatile organic compound pollution sources integrated with machine learning algorithms

Fang Hui, Ouyang Bin

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 1024 , 2024, DOI: 10.62617/mcb1024

Abstract：

Microplastic pollution has emerged as a critical environmental issue, posing significant threats to aquatic ecosystems and human health. As an innovative approach, biological techniques have shown great potential in mitigating microplastic contamination in water systems. This study explores the use of biotechnological methods, such as microbial degradation and biofilm-assisted filtration, in combination with conventional water treatment processes to enhance the removal of microplastics. Focusing on Southwest China, where water pollution is exacerbated by rapid urbanization and industrial activities, the research identifies the ecological and technical challenges unique to this region. Experimental approaches include optimizing bio-coagulation using microbial consortia, assessing enzymatic degradation of common microplastic polymers, and evaluating the biomechanical interactions between biological agents and microplastic particles during water filtration. Results aim to provide insights into the efficacy and scalability of integrating biological solutions into existing water treatment frameworks. This study contributes to developing sustainable and eco-friendly strategies for addressing microplastic pollution and safeguarding water quality through biologically informed interventions.

Open Access

Article

Limb motion mechanics analysis of Taijiquan trainees combined with APAS image analysis system

Jimeng Yan, Zhihang Sun

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 1033 , 2024, DOI: 10.62617/mcb1033

Abstract：

Analyzing the motion mechanics of Taijiquan trainees’ limbs can help trainees better understand the mechanics of Taijiquan movement and improve their training speed. However, all the current motion mechanics analysis models still have the disadvantage of poor motion mechanics analysis due to inaccurate motion image feature extraction. Therefore, this study utilizes the Ariel performance analysis system and temporal-difference to construct a motion mechanics analysis model to extract motion image features of Taijiquan and analyze its motion mechanics. analysis. The study first experimented with this analysis model. The outcomes indicated that the model achieved 100% accuracy in the extraction of image feature information and 100% accuracy in the analysis of motion mechanics, which was much higher than the comparative analysis model. The model was then used to analyze the motion mechanics of Taijiquan trainees during bending and squatting posture. The results revealed that the larger the knee fixation angle was, the shorter the completion time of the movement was. When the knee fixation angle was 150°, the time taken to complete the starting, fixing and finishing phases of the movement was 11.21 s, 61.21 s and 12.32 s respectively. Moreover, when the trainees performed the movement, the angle of the trainee’s right knee changed gently in the starting phase, while the angle of the trainee’s left knee changed more drastically. In summary, the motion mechanics analysis model proposed in the study is able to accurately analyze the limb motion mechanics of Taijiquan trainees as a means of avoiding various injuries during training.

Open Access

Article

Biomechanics based computer simulation of rural landscape design using remote sensing image technology

Kun Xing, Yuqing Xia

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 371 , 2024, DOI: 10.62617/mcb371

Abstract：

Introduction: The strategy and restoration of rural areas and landscape in biomechanics, with a particular emphasis on cellular and molecular biomechanics, is crucial for sustainable rural landscape design. At the cellular and molecular level, plants’ biomechanical properties, such as the rigidity and elasticity of cell walls, determine their growth patterns and responses to environmental factors. These properties are essential in understanding how plants can be effectively incorporated into the rural landscape to enhance its stability and functionality. Aim: The objective of this research is to develop a novel computer simulation model for rural landscape planning using remote sensing imaging technology. Research methodology: We introduce a novel Adaptive YOLOv7 method driven by Starling Murmuration search. UAVs are used to collect extensive visual data for training the model. By considering cellular and molecular biomechanics, we can analyze how the mechanical forces within plants affect their ability to resist wind, retain water, and interact with the surrounding soil and other organisms. This knowledge can be integrated into the model to better predict the long-term viability and adaptability of different plant species in the rural landscape. The combination of the 3D GIS virtual image strategy model and our proposed model, along with SM optimization, not only improves object identification but also takes into account the biomechanical aspects for more accurate simulations. Crowdsourcing helps in precisely mapping rural landscapes and structures, while the incorporation of biomechanical principles ensures better adaptability to changing environmental and ecological conditions. Findings and Conclusion: Implemented in Python software, our SM-AYOLOv7 model shows excellent performance, with metrics like f1 score (93.64%), recall (92.34%), accuracy (91.72%), and IoU (90.23%). Our method outperforms conventional ones, demonstrating enhanced accuracy and flexibility, especially in handling changing configurations, due to the integration of cellular and molecular biomechanical insights.

Open Access

Article

Biomechanical analysis and application of image processing technology based on deep learning in the indoor evaluation system of high-rise buildings

Shaoyang Li

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 584 , 2024, DOI: 10.62617/mcb584

Abstract：

In the context of biomechanics and the built environment, understanding the relationship between the indoor space layout of high-rise buildings and human biomechanical responses is crucial. To enhance the quality of the indoor space layout of buildings with respect to human biomechanical comfort and functionality, this paper proposes a method for extracting the characteristics of the indoor space layout of high-rise buildings based on deep-learning image processing. The indoor space layout parameters are not only related to architectural aesthetics but also have implications for human movement and biomechanical behavior. For example, the dimensions and configurations of rooms and corridors can affect gait patterns, body postures, and muscle activations during walking and other activities. According to the extracted indoor space layout parameters, their edge sequences are determined. The image processing algorithm based on deep learning is then used to control the convergence of the characteristic parameters. This process is not only for architectural feature extraction but also to analyze how these features interact with human biomechanics. For instance, the angles and lengths of corridors can influence the turning radii and step frequencies of individuals, which are key biomechanical factors. By extracting the characteristics of the indoor space layout of high-rise buildings, we can evaluate how well the space accommodates human movement and biomechanical needs. The results reveal that the proposed method can effectively extract features relevant to both architecture and biomechanics, and the accuracy in assessing biomechanically relevant features is always higher than 90%. This high accuracy indicates the potential of this method to contribute to the design of indoor spaces that are more conducive to human biomechanical well-being and efficient movement.

Open Access

Article

Biomechanical characterization of different rope skipping movements based on three-dimensional motion capture and electromyographic signal acquisition

Haoqin Li

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 1018 , 2024, DOI: 10.62617/mcb1018

Abstract：

Rope skipping is becoming a nationally popular sport with recreational, fitness and competitive attributes. However, poorly accomplished movements during the sport may not yield the best results and may even result in injuries. Therefore, the study used 3D motion capture and electromyographic signal acquisition for biomechanical characterization. It analyzed the human joint angles, angular velocities, muscle activation level, and muscle contribution rate in comparison when performing different rope skipping movements. The experimental results showed that the total duration of single movement was higher in the experimental group than in the control group. The average movement angle of the wrist joint in the pre-swing stage was greater for single shake than for single double shake, with the angle ranges of 116°–168° and 107°–172°, respectively. The wrist joint angular velocity of single double shake changed more gently, and the angular velocity of double shake was larger than that of single shake, with a difference of 141°. In the single-shake pre-swing stage, the activation of the trapezius and deltoid was much higher than that of the other muscles, 65% and 66%, respectively. The buffering stage contributed the most to the deltoid, with 23%, 21%, 24%, and 23% for the individual movements, respectively. As a result, the experimental group’s rope skipping movements were completed more standardized, with lower free heights and better cushioning, reducing the risk of injury. The method used in the study can effectively biomechanically characterize human joints and muscles during rope skipping and improve the science and rationality of the rope skipping movement.

Open Access

Article

Anatomy student grade prediction method based on multimodal model for reconstruction of human biomechanical endpoints

Chuang Cheng, Lihua Ma

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 1012 , 2024, DOI: 10.62617/mcb1012

Abstract：

Dissecting and studying the morphology of the tibial insertion point of the anterior cruciate ligament (ACL) of the knee joint, and using finite element analysis software to analyze the distribution of mechanical insertion points of the ACL, providing a new concept for clinical ACL reconstruction. Method: Ten fresh adult knee joint specimens were selected, including six males and four females. The joint cavity was opened using a standard medial patellar approach, exposing and dissecting the ACL. The morphology of the ACL tibial insertion point was observed and recorded, and the anterior posterior and lateral diameters of the tibial insertion point were measured. Using 3D reconstruction software to simulate clinical physical examination Laehman test and pivot shift test, observe the force distribution of ACL at the tibial and femoral end insertion points, and finally construct a multiple stepwise regression model to evaluate students’ classroom learning behavior and performance in this experiment. Result: The dense insertion point of the ACL tibia appears as a flattened and elongated arc shape, with an anterior posterior diameter of (13.8 ± 2.0) mm, a body lateral diameter of (5.3 ± 0.6) mm, and a leading edge lateral diameter of (11.5 ± 1.2) mm. Finite element analysis shows that the area of high stress at the femoral end is an elliptical region near the resident’s ridge, while the area of high stress at the tibial end is elongated along the medial intercondylar ridge, which is consistent with anatomical observations and theoretically confirms the biomechanical distribution characteristics of ACL insertion points. On the other hand, some learning behaviors of students have a positive impact on their academic performance. Conclusion: Anatomical studies and finite element analysis have confirmed that the tibial insertion point of ACL is a flattened and elongated arc. The ideal ACL reconstruction technique should be based on its biomechanical characteristics. Based on biomechanical analysis, the concept of anterior cruciate ligament biomechanical insertion point reconstruction is proposed. Using a multiple stepwise regression model to predict students’ academic performance can improve the effectiveness of teaching activities and provide scientific basis for teaching research and reform.

Open Access

Article

Application of action recognition and tactical optimization methods for rope skipping competitions based on artificial intelligence

Huan Zhang

Molecular & Cellular Biomechanics, Vol.21, No.4, 21(4), 936 , 2024, DOI: 10.62617/mcb936

Abstract：

To solve the problems that action recognition methods in rope skipping competitions rely on manual annotation and are prone to misjudgment in complex movements, this study implemented an AI-based rope skipping action recognition and tactical optimization method, using artificial intelligence technology to achieve efficient and accurate action recognition and tactical adjustment. The feature extraction of video frames is performed through Convolutional Neural Network (CNN), and the processed feature sequence is sent to Long Short-Term Memory (LSTM) network for processing, so as to achieve accurate recognition of rope skipping actions. To optimize the competition strategy, the Deep Q Network (DQN) is used to optimize the tactical execution. Experimental results show that the proposed model can recognize common rope skipping movements such as single jump, double-leg jump and cross jump with an average accuracy of 98.4%; the tactical strategy optimized by reinforcement learning significantly improves the performance of athletes, the jumping frequency increases by 4.59% and the error rate decreases by 0.986%. This study not only provides an intelligent evaluation and optimization solution for rope skipping competitions, but also has certain reference significance for action recognition and tactical decision-making in other sports.