The influence of individual gymnasts' balance on final pyramid performance is unknown. The principal objective of this study was to evaluate associations between the balance capacity of base and top gymnasts (BG, BT) on the pyramid performance using different balance tasks. Forty acrobatic gymnasts were divided in two groups (20 BG, 20 TG) and performed three different static tests on a force platform: unipedal (open and closed eyes), and headstand. Centre of pressure (COP) measurements were obtained including length travelled in the anteroposterior and mediolateral axis, surface area and the mean speed. Pairs of gymnasts performed a pyramid which involved the BG standing upright while holding a TP in handstand with arms flexed at the elbow. Pyramid scores were obtained from judges to assess the performance. Principal component analysis (PCA) was used to reduce the number of balance COP variables. Linear regression analysis was applied with pyramid performance and scores of PCA separated by role. TG's PCA 2 was a significant predictor of pyramid performance. Higher pyramid performance was associated with better headstand balance capacity in TG. The results suggest that measuring COP displacement during headstands could help coaches and gymnasts to assess the handstand pyramid performance.
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http://dx.doi.org/10.1080/14763141.2022.2092546 | DOI Listing |
Front Neurol
January 2025
Department of Radiology, The First People's Hospital of Lianyungang, Lianyungang Clinical College of Nanjing Medical University, Lianyungang, China.
Objective: To develop a deep learning (DL) model for carotid plaque detection based on CTA images and evaluate the clinical application feasibility and value of the model.
Methods: We retrospectively collected data from patients with carotid atherosclerotic plaques who underwent continuous CTA examinations of the head and neck at a tertiary hospital from October 2020 to October 2022. The model combined ResUNet with the Pyramid Scene Parsing Network (PSPNet) to enhance plaque segmentation.
J Dent
January 2025
Department of Orthodontics, School of Stomatology, Capital Medical University, Beijing 100050, China. Electronic address:
Objective: This study constructed a new conditional generative adversarial network (CGAN) model to predict changes in lateral appearance following orthodontic treatment.
Methods: Lateral cephalometric radiographs of adult patients were obtained before (T1) and after (T2) orthodontic treatment. The expanded dataset was divided into training, validation, and test sets by random sampling in a ratio of 8:1:1.
J Am Chem Soc
January 2025
Department of Physics, Alba Nova Research Center, Stockholm University, Stockholm SE-106 91 Sweden.
Iron-doped nickel oxyhydroxides, Ni(Fe)OH, are among the most promising oxygen evolution reaction (OER) electrocatalysts in alkaline environments. Although iron (Fe) significantly enhances the catalytic activity, there is still no clear consensus on whether Fe directly participates in the reaction or merely acts as a promoter. To elucidate the Fe's role, we performed X-ray spectroscopy studies supported by DFT on Ni(Fe)OH electrocatalysts.
View Article and Find Full Text PDFJ Mol Neurosci
January 2025
Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science/Peking Union Medical College, Beijing, 100730, China.
CSF1R-related leukoencephalopathy (CSF1R-L) and AARS2-related leukoencephalopathy (AARS2-L) were two disease entities sharing similar phenotype and even pathological changes. Although clinically, radiologically, and pathologically similar, they were caused by mutation of two different genes. As the rarity of the two diseases, the differential diagnosis of them was difficult.
View Article and Find Full Text PDFCureus
December 2024
General Surgery, Hayatabad Medical Complex Peshawar, Peshawar, PAK.
Objective: The study aimed to investigate the rate of conversion from laparoscopic cholecystectomy (LC) to open cholecystectomy (OC) in our population and determine the potential risk factors associated with it. Understanding these factors helps surgeons predict complex cases and plan surgeries, reducing patient risks and improving outcomes.
Methodology: A cross-sectional observational study was conducted from June 1, 2022, to May 31, 2023, at Hayatabad Medical Complex, Peshawar, on 349 patients undergoing elective LC.
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