{"title":"A Study of Racket Weight Adaptation in Advanced and Beginner Badminton Players","authors":"Zhengye Pan, Lushuai Liu, Xingman Li, Yunchao Ma","doi":"10.1155/2024/8908294","DOIUrl":"https://doi.org/10.1155/2024/8908294","url":null,"abstract":"The jump smash is the most aggressive manoeuvre in badminton. Racket parameters may be the key factor affecting the performance of jump smash. Previous studies have focused only on the biomechanical characteristics of athletes or on racket parameters in isolation, with less observation of the overall performance of the human-racket system. This study aims to explore the effects of different racket weights on neuromuscular control strategies in advanced and beginner players. Nonnegative matrix factorisation (NMF) was used to extract the muscle synergies of players when jumping smash using different rackets (3U, 5U), and K-means clustering was used to obtain the fundamental synergies. Uncontrolled manifold (UCM) analyses were used to establish links between synergy and motor performance, and surface electromyography (sEMG) was mapped to each spinal cord segment. The study found significant differences (<span><svg height=\"9.2729pt\" style=\"vertical-align:-0.6370001pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.6359 21.464 9.2729\" width=\"21.464pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,13.833,0)\"></path></g></svg><span></span><span><svg height=\"9.2729pt\" style=\"vertical-align:-0.6370001pt\" version=\"1.1\" viewbox=\"25.0461838 -8.6359 21.919 9.2729\" width=\"21.919pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,25.096,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,31.336,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,34.3,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,40.54,0)\"></path></g></svg>)</span></span> in the postural muscles of skilled players and significant differences (<span><svg height=\"9.2729pt\" style=\"vertical-align:-0.6370001pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.6359 21.464 9.2729\" width=\"21.464pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-81\"></use></g><g transform=\"matrix(.013,0,0,-0.013,13.833,0)\"><use xlink:href=\"#g117-91\"></use></g></svg><span></span><span><svg height=\"9.2729pt\" style=\"vertical-align:-0.6370001pt\" version=\"1.1\" viewbox=\"25.0461838 -8.6359 28.182 9.2729\" width=\"28.182pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,25.096,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,31.336,0)\"><use xlink:href=\"#g113-47\"></use></g><g transform=\"matrix(.013,0,0,-0.013,34.3,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,40.54,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,46.78,0)\"></path></g></svg>)</span></span> in the upper-limb muscles of beginners when the racket weight was increased. Advanced players adapt to the increase in racket weight","PeriodicalId":8029,"journal":{"name":"Applied Bionics and Biomechanics","volume":"6 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139562352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alireza Choobineh, Elahe Dortaj, Mohsen Razeghi, Haleh Ghaem, Hadi Daneshmandi
{"title":"Assessment of Load Manual Lifting among Shelf-Stoking Workers in Chain Stores: A Cross-Sectional Study","authors":"Alireza Choobineh, Elahe Dortaj, Mohsen Razeghi, Haleh Ghaem, Hadi Daneshmandi","doi":"10.1155/2024/2324416","DOIUrl":"https://doi.org/10.1155/2024/2324416","url":null,"abstract":"In Iranian stores, shelf workers, in addition to shelf-stocking, perform diverse tasks, such as working as a cashier, cleaning, barcode reading, labeling goods, and entering the price with the portable data terminal (PDT). Therefore, this study aimed to investigate the prevalence of work-related musculoskeletal symptoms (WMSs) and assess load manual lifting among shelf-stoking workers. This cross-sectional study was conducted among 101 shelf-stoking workers (60 males and 41 females) in chain stores at Shiraz city, Iran. The subjects were selected by cluster sampling from chain stores in Shiraz city, namely Refah, Canbo, Soroush, and Tirazis. Then, the required number of samples was selected and entered into the study from each cluster in proportion. The Persian version of the Nordic Musculoskeletal Questionnaire and the National Institute of Occupational Safety and Health–variable lifting index method were used to collect the required data. Data were analyzed by SPSS software version 22 using the Mann–Whitney <i>U</i> test, Spearman’s correlation coefficient, and linear regression. Ankles/feet, lower back, and knees had the highest prevalence of WMSs among the participants. About 70.3% of workers had a VLI higher than 1. There was an association between gender and VLI. The VLI was higher in males than females. The study’s findings revealed that the medians of the VLI were significantly different among participants with/without upper back symptoms during 12 months prior to the study and among participants with/without lower back symptoms during 7 days prior to the study. According to the linear regression analysis, gender and lower back symptoms during 7 days prior to the study remained in the model and were associated with the VLI. The findings revealed that the back region of the shelf-stoking workers is prone to work-related musculoskeletal disorders. In addition, based on the results, gender and lower back symptoms during the 7 days prior to the study were predicting variables for VLI. This study provides an overview of pain/discomfort and postural load in shelf-stoking workers. Since the principles of ergonomics for the placement and layout of shelves are the same in all stores, the findings of the present study can be used in other stores.","PeriodicalId":8029,"journal":{"name":"Applied Bionics and Biomechanics","volume":"54 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139482331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"3D Kinematics of Male and Female Soccer Players for a Variety of Game-Specific Skills","authors":"Danyon Loud, Paul Grimshaw, Richard Kelso","doi":"10.1155/2024/9588416","DOIUrl":"https://doi.org/10.1155/2024/9588416","url":null,"abstract":"Soccer is played by a variety of individuals with varying abilities. The complicated lower limb movements involved within the game often lead to knee and ankle injuries, with anterior cruciate ligament injuries being the most severe with regard to rehabilitation time and ongoing health risks. This research explores the biomechanical kinematics of male and female soccer players on synthetic grass to determine whether trends in lower limb biomechanics over a variety of movements could explain injury risk. Both male and female players (<i>n</i> = 10) aged between 19 and 24 years performed running-based and stationary-start movements. Biomechanical measurements at the hip, knee, and ankle were recorded. Observations showed that specific differences in joint angles were largely dependent on the movements performed; however, for male players, on average, across all movements, 84.6% and 72.6% of the variation in joint angles could be explained by internal/external rotation at the hip and knee, respectively. For female players, internal/external knee rotation, as well as hip abduction and adduction, accounted for 83.6% and 80.2% of the variation in joint angles, respectively, across all the tested movements. This highlights the importance of hip mechanics and knee alignment for players when performing a variety of movements.","PeriodicalId":8029,"journal":{"name":"Applied Bionics and Biomechanics","volume":"1 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139397395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuxuan Cao, Jie Chen, Li Gao, Jiqing Luo, Jinyun Pu, Shengli Song
{"title":"Force Tracking Control of Lower Extremity Exoskeleton Based on a New Recurrent Neural Network","authors":"Yuxuan Cao, Jie Chen, Li Gao, Jiqing Luo, Jinyun Pu, Shengli Song","doi":"10.1155/2024/5870060","DOIUrl":"https://doi.org/10.1155/2024/5870060","url":null,"abstract":"The lower extremity exoskeleton can enhance the ability of human limbs, which has been used in many fields. It is difficult to develop a precise force tracking control approach for the exoskeleton because of the dynamics model uncertainty, external disturbances, and unknown human–robot interactive force lied in the system. In this paper, a control method based on a novel recurrent neural network, namely zeroing neural network (ZNN), is proposed to obtain the accurate force tracking. In the framework of ZNN, an adaptive RBF neural network (ARBFNN) is employed to deal with the system uncertainty, and a fixed-time convergence disturbance observer is designed to estimate the external disturbance of the exoskeleton electrohydraulic system. The Lyapunov stability method is utilized to prove the convergence of all the closed-loop signals and the force tracking is guaranteed. The proposed control scheme’s (ARBFNN-FDO-ZNN) force tracking performances are presented and contrasted with the exponential reaching law-based sliding mode controller (ERL-SMC). The proposed scheme is superior to ERL-SMC with fast convergence speed and lower tracking error peak. Finally, experimental tests are conducted to verify the efficacy of the proposed controller for solving accurate force tracking control issues.","PeriodicalId":8029,"journal":{"name":"Applied Bionics and Biomechanics","volume":"778 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139373271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retracted: Educational Data Mining by Optimally Fusing Shallow and Deep Features","authors":"Applied Bionics and Biomechanics","doi":"10.1155/2023/9759207","DOIUrl":"https://doi.org/10.1155/2023/9759207","url":null,"abstract":"<jats:p />","PeriodicalId":8029,"journal":{"name":"Applied Bionics and Biomechanics","volume":"9 6","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138955987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retracted: An Intelligent Health Monitoring Model Based on Fuzzy Deep Neural Network","authors":"Applied Bionics and Biomechanics","doi":"10.1155/2023/9821681","DOIUrl":"https://doi.org/10.1155/2023/9821681","url":null,"abstract":"<jats:p />","PeriodicalId":8029,"journal":{"name":"Applied Bionics and Biomechanics","volume":"35 22","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138956551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retracted: The Diagnostic Performance of 18F-FDG PET/CT in Recurrent Pancreatic Cancer: A Systematic Review and Meta-analysis","authors":"Applied Bionics and Biomechanics","doi":"10.1155/2023/9769050","DOIUrl":"https://doi.org/10.1155/2023/9769050","url":null,"abstract":"<jats:p />","PeriodicalId":8029,"journal":{"name":"Applied Bionics and Biomechanics","volume":"47 16","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138957237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retracted: The Influence Mechanism of BIM on Green Building Engineering Project Management under the Background of Big Data","authors":"Applied Bionics and Biomechanics","doi":"10.1155/2023/9851621","DOIUrl":"https://doi.org/10.1155/2023/9851621","url":null,"abstract":"<jats:p />","PeriodicalId":8029,"journal":{"name":"Applied Bionics and Biomechanics","volume":"77 21","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138957856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retracted: Effective Graph Mining for Educational Data Mining and Interest Recommendation.","authors":"Applied Bionics And Biomechanics","doi":"10.1155/2023/9794627","DOIUrl":"10.1155/2023/9794627","url":null,"abstract":"<p><p>[This retracts the article DOI: 10.1155/2022/7610124.].</p>","PeriodicalId":8029,"journal":{"name":"Applied Bionics and Biomechanics","volume":"2023 ","pages":"9794627"},"PeriodicalIF":2.2,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10752657/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139048213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}