Probing the eukaryotic microbes of ruminants with a deep-learning classifier and comprehensive protein databases.

Metagenomics, particularly genome-resolved metagenomics, has significantly deepened our understanding of microbes, illuminating their taxonomic and functional diversity and roles in ecology, physiology, and evolution. However, eukaryotic populations within various microbiomes, including those in the mammalian gastrointestinal (GI) tract, remain relatively underexplored in metagenomic studies due to the lack of comprehensive reference genome databases and robust bioinformatics tools. The GI tract of ruminants, particularly the rumen, contains a high eukaryotic biomass although a relatively low diversity of ciliates and fungi, which significantly impacts feed digestion, methane emissions, and rumen microbial ecology.

Comprehensive evaluation of accelerometer-based physical activity in persons with multiple sclerosis - The influence of disability status and its impact on walking capacity.

Introduction: Multiple sclerosis has a substantial negative impact on physical activity (PA). However, limited knowledge exists on objectively measured PA levels and types across disability status along with its influence on walking capacity.

Objectives: To (1) determine PA levels/types in persons with MS (pwMS) (overall and across disability status) and in healthy controls (HC), and (2) investigate the association between PA levels/types and walking capacity.

High specificity of an AI-powered framework in cross-checking male professional football anterior cruciate ligament tear reports in public databases.

Purpose: While public databases like Transfermarkt provide valuable data for assessing the impact of anterior cruciate ligament (ACL) injuries in professional footballers, they require robust verification methods due to accuracy concerns. We hypothesised that an artificial intelligence (AI)-powered framework could cross-check ACL tear-related information from large publicly available data sets with high specificity.

Methods: The AI-powered framework uses Google Programmable Search Engine to search a curated, multilingual list of websites and OpenAI's GPT to translate search queries, appraise search results and analyse injury-related information in search result items (SRIs).

Increased sea level rise accelerates carbon sequestration in a macro-tidal salt marsh.

Salt marshes are known as key ecosystems for nature-based climate mitigation through organic carbon sequestration into their sediment beds, but at the same time they are affected by accelerating sea level rise induced by climate warming. Consequently, an important question is how organic carbon accumulation rates (OCAR) of salt marshes will respond to future accelerating rates of relative sea level rise (RSLR). To date, existing insights are either based on (1) comparison of geographically distant marsh sites, differing in local RSLR rates but also in other environmental conditions that additionally can affect OCAR, or (2) experiments in given marsh sites, in which proxies for RSLR are manipulated, but run over periods of years instead of decades, the latter being the relevant time scale of marsh responses to RSLR.

Do Acute Illness Perceptions Moderate the Association of Pre-Collision Welfare Benefits and Later Neck Pain or Disability Following Whiplash Trauma? A Prospective Multicentre Cohort Study.

: Whiplash trauma is a worldwide significant public health issue, with post-collision chronic pain and physical and mental disability; the prevalence of whiplash trauma in the Japanese general population is estimated at 1.2% and in the Danish general population the whiplash condition has been reported to be 2.9%.