The Impacts of Poor Sleep Quality on Knee Pain and Quality of Life in Young Adults: Insights from a Population-Based Cohort.

Objectives: Poor sleep is common among young adults and is often associated with pain. This study investigates the relationship between pain-related outcomes, sleep quality, and quality of life in young adults with and without knee pain.

Methods: This study is a secondary analysis of the 5-year follow-up of a prospective cohort study.

Development and evaluation of a new semi-quantitative and morphometric scoring system for magnetic resonance imaging in adolescents with Osgood Schlatter Disease (The OSIS Score).

Background: Osgood Schlatter Disease (OSD) is a common injury in adolescents. A recent systematic review identified multiple tissue characteristics evaluated in imaging studies, but the studies used different imaging modalities, used varying MRI protocols and were of poor study quality, which led to conflicting findings and hamper the clinical utility of MRI scans. This study aimed to develop and evaluate the reliability of a semi-quantitative MRI scoring system for use in adolescents with OSD.

The Impact of Breakfast Consumption or Omission on Exercise Performance and Adaptations: A Narrative Review.

Background: Breakfast is often termed the most important meal of the day. However, its importance to acute and chronic adaptations to exercise is currently not well summarized throughout the literature.

Methods: A narrative review of the experimental literature regarding breakfast consumption's impact on acute and chronic exercise performance and alterations in body composition prior to November 2024 was conducted.

Promotes Antioxidant Gene Expression and Mitochondrial Oxidative Respiration in Experimental Autoimmune Encephalomyelitis.

(L.) Urban (family Apiaceae) () is a traditional botanical medicine used in aging and dementia. Water extracts of (CAW) have been used to treat neuropsychiatric symptoms in related animal models and are associated with increases in antioxidant response element (ARE) genes and improvements in mitochondrial respiratory function and neuronal health.

AnnoGCD: a generalized category discovery framework for automatic cell type annotation.

The identification of cell types in single-cell RNA sequencing (scRNA-seq) data is a critical task in understanding complex biological systems. Traditional supervised machine learning methods rely on large, well-labeled datasets, which are often impractical to obtain in open-world scenarios due to budget constraints and incomplete information. To address these challenges, we propose a novel computational framework, named AnnoGCD, building on Generalized Category Discovery (GCD) and Anomaly Detection (AD) for automatic cell type annotation.