Results 41 to 50 of about 147,166 (261)
Design and analysis strategies for robust microbiome ageing research
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
BackgroundEmergency medicine residency training requires rapid acquisition of diverse clinical competencies in high-pressure environments. Understanding residents’ learning preferences and curriculum satisfaction is essential for optimizing training ...
Fahad Abuguyan +4 more
doaj +1 more source
Unlocking Success: Exploring Diverse Learning Habits in Medical English Language Acquisition [PDF]
This study investigates the varied learning preferences among dentistry and medicine students in a single higher education centre regarding medical English language acquisition.
Adrian Năznean
doaj +1 more source
High and low achievers’ dominant learning style preferences in learning English
This study aims at finding the high and low achievers’ learning style preferences and the teachers’ understanding about the students’ learning style preferences in learning English at MAN 1 Banda Aceh.
Raudhaturrahmi Raudhaturrahmi +2 more
doaj +1 more source
Efficiently learning the preferences of people [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Adriana Birlutiu +2 more
openaire +2 more sources
Reconstructing enzyme evolution by protein engineering
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Background: The study is designed to evaluate the different learning styles of the present first professional MBBS students. Students were requested to complete the visual-aural-read/write-kinesthetic (VARK) questionnaire at VARK-LEARN.COM.
Soumitra Chakravarty +6 more
doaj +1 more source
Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning [PDF]
This paper makes a first step toward the integration of two subfields of machine learning, namely preference learning and reinforcement learning (RL). An important motivation for a "preference-based" approach to reinforcement learning is a possible extension of the type of feedback an agent may learn from.
Weiwei Cheng +3 more
openaire +2 more sources
Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta +3 more
wiley +1 more source
Structure‐forward targeting of claudins with synthetic binders
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley +1 more source

