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A novel classification method for balance differences in elite versus expert athletes based on composite multiscale complexity index and ranking forests.
PLoS One
January 2025
School of Exercise and Health, Shenyang Sport University, Shenyang, China.
Balance is crucial for various athletic tasks, and accurately assessing balance ability among elite athletes using simple and accessible measurement methods is a significant challenge in sports science. A common approach to balance assessment involves recording center of pressure (CoP) displacements using force platforms, with various indicators proposed to distinguish subtle balance differences. However, these indicators have not reached a consensus, and it remains unclear whether these analyses alone can fully explain the complex interactions of postural control.
View Article and Find Full Text PDFPlasma proteomics for risk prediction and identification of novel drug targets in systemic lupus erythematosus.
Rheumatology (Oxford)
January 2025
Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Laboratory, Guangzhou, 510515, China.
Objectives: The relationship between proteomic profiles and incident systemic lupus erythematosus (SLE) remains unclear. We aimed to identify candidate plasma proteins for SLE risk in women, discover potential treatment targets for SLE, and develop and validate a protein-based prediction model for SLE risk.
Methods: 28 220 women from the UK Biobank were randomly split into training (70%) and testing (30%) sets.
Using Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums: Development and Validation Study.
J Med Internet Res
January 2025
Department of Industrial and Systems Engineering, The University of Florida, GAINESVILLE, FL, United States.
Background: The implementation of large language models (LLMs), such as BART (Bidirectional and Auto-Regressive Transformers) and GPT-4, has revolutionized the extraction of insights from unstructured text. These advancements have expanded into health care, allowing analysis of social media for public health insights. However, the detection of drug discontinuation events (DDEs) remains underexplored.
View Article and Find Full Text PDFHigh-velocity traumatic amputations of the proximal upper extremity are devastating to the patient and represent an extreme surgical challenge to the treatment team. The hand surgeon must simultaneously battle devascularization with timely microvascular anastomosis, gross contamination with meticulous debridement, and amputation with stable fixation. In restoring a functional extremity, many of these goals are in contention with each other.
View Article and Find Full Text PDFGraphitic Carbon Nitride-Supported Layered Double Hydroxides (GCN@FeMg-LDH) for Efficient Water Splitting and Energy Harvesting.
ACS Appl Mater Interfaces
January 2025
Department of Environmental Engineering, Kwangwoon University, Seoul 01897, Republic of Korea.
The advancement of highly efficient and cost-effective electrocatalysts for electrochemical water splitting, along with the development of triboelectric nanogenerators (TENGs), is crucial for sustainable energy generation and harvesting. In this study, a novel hybrid composite by integrating graphitic carbon nitride (GCN) with an earth-abundant FeMg-layered double hydroxide (LDH) (GCN@FeMg-LDH) was synthesized by the hydrothermal approach. Under controlled conditions, with optimized concentrations of metal ions and GCN, the fabricated electrode, GCN@FeMg-LDH demonstrated remarkably low overpotentials of 0.
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