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The principles of specificity and similarity play a crucial role in supporting the transfer and retention of motor performance in general sports training. Nevertheless, the extent to which force control ability translates into dynamic performance remains unclear. We aimed to investigate the effect of force control training on the transfer and retention of balance control in 18 young individuals. The force control training utilized a visual-guided force tracking task with either a uniform or non-uniform sinusoidal wave in ankle plantar flexors (PF). Postural stability was assessed by measuring the center of pressure (COP) in a single-leg standing posture. Despite consistent repetitions, no significant differences in COP parameters were observed between the pre- and post-training assessments. However, significant differences were noted between the pre-training assessments and the post-training assessments conducted one week later, utilizing a randomized order. Shifting from a regimen of constant repetition to a randomized order has a positive impact on the transfer and retention of acquired motor skills. This approach, based on the motor learning theory, holds promise for enhancing the motor performance of athletes and patients undergoing rehabilitation.
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http://dx.doi.org/10.1080/00222895.2025.2505496 | DOI Listing |
Angew Chem Int Ed Engl
September 2025
School of Integrated Circuits, State Key Laboratory of New Textile Materials and Advanced Processing, Key Laboratory of Material Chemistry for Energy Conversion and Storage (Ministry of Education), Huazhong University of Science and Technology, Wuhan, 430074, China.
Low-temperature rechargeable batteries face great challenges due to the sluggish reaction kinetics. Redox covalent organic frameworks (COFs) with porous structures provide a viable solution to accelerate the ionic diffusion and reaction kinetics at low temperatures. However, the applications of COFs in low-temperature batteries are still at their infancy stage.
View Article and Find Full Text PDFLangmuir
September 2025
College of Textile and Clothing Engineering, Soochow University, Suzhou 215123, PR China.
Sodium-ion batteries are promising candidates for large-scale energy storage due to their low cost and resource abundance. However, their cathode materials suffer from poor conductivity and limited cycling stability. Here, we report a Prussian blue (PB)-based cathode hybridized with carboxyl-functionalized carbon nanotubes (CNTs) via a glutamic acid-assisted in situ coordination route.
View Article and Find Full Text PDFClin Case Rep
September 2025
Palliative Care LOROS Hospice Leicester UK.
Clot retention can be challenging to manage in a hospice setting in the final days, especially if a blocked urethral catheter cannot be replaced. Small-bore suprapubic irrigation using equipment commonly available in hospices can provide symptom relief without the need to transfer to acute settings.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
September 2025
College of Materials Science and Opto-electronic Technology, Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China.
High-voltage operation enables sodium-sufficient O3-type layered oxides to approach the maximum achievable energy densities for practical sodium-ion batteries (SIBs). This high-voltage regime, however, induces structural degradation strongly correlated with oxygen redox activity, a mechanism still incompletely resolved. Using prototypical O3-type NaNiFeMnO (NFM) as a model system, we identify the origin of this instability as a detrimental feedback loop between σ-type oxygen redox and cation migration.
View Article and Find Full Text PDFSci Total Environ
September 2025
Department of Environmental Sciences, Louisiana State University, Baton Rouge, LA, USA. Electronic address:
Water quality ecosystem service (ES) modeling tools help inform freshwater management across landscapes. However, the validity of such models depends on the availability of water quality data for validation and calibration, limiting their application in regions where monitoring is limited. This study presents a methodological framework that combines machine learning (ML) and spatial extrapolation to enhance ES modeling in data-scarce contexts (https://github.
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