Results 31 to 40 of about 15,936,409 (281)

Potential utilization of virtual reality learning for vocational school teachers [PDF]

open access: yes, 2023
This study aims to determine the potential of using virtual reality as a learning tool for teachers, especially at Vocational High Schools. This research is descriptive research with a quantitative approach.
Hendra, Hendra Jaya   +6 more
core  

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS Letters, EarlyView.
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

Developing "I Am Smart" Media for Increasing Learning Motivation of Students with Autism Spectrum Disorders

open access: yesScaffolding: Jurnal Pendidikan Islam dan Multikulturalisme, 2023
This research aimed to develop "I Am Smart" media and evaluate its effectiveness in increasing the learning motivation of students with autism spectrum disorders.
Gita Salsyabila, Wahdan Najib Habiby
doaj   +1 more source

Potential utilization of virtual reality learning for vocational school teachers [PDF]

open access: yes, 2022
This study aims to determine the potential of using virtual reality as a learning tool for teachers, especially at Vocational High Schools. This research is descriptive research with a quantitative approach.
Hendra, Hendra Jaya   +6 more
core  

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

open access: yesFEBS Letters, EarlyView.
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

A deep learning-derived digital biomarker of dysglycemia and its association with genetic risk of type 2 diabetes

open access: yesnpj Metabolic Health and Disease
Type 2 diabetes is a global health burden driven by genetic and environmental factors. Continuous glucose monitoring (CGM) can effectively guide lifestyle interventions in non-diabetic.
Jian Shao   +11 more
doaj   +1 more source

Self-directed learning for medical graduates: A boon or bane in disguise? A cross-sectional study in Chennai

open access: yesJournal of Education and Health Promotion
BACKGROUND: Self-directed learning (SDL) is an essential aspect of adult education or andragogy, gaining significance in medical education with the introduction of competency-based medical education.
Ameenah A. H. Siraja   +4 more
doaj   +1 more source

Asymptotic optimality of the quasi-score estimator in a class of linear score estimators [PDF]

open access: yes, 2006
We prove that the quasi-score estimator in a mean-variance model is optimal in the class of (unbiased) linear score estimators, in the sense that the difference of the asymptotic covariance matrices of the linear score and quasi-score estimator is ...
Kukush, Alexander, Schneeweiß, Hans
core   +1 more source

Autophagy and mitophagy in pancreatic β‐cell homeostasis and their involvement in diabetes pathophysiology

open access: yesFEBS Letters, EarlyView.
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee   +2 more
wiley   +1 more source

Prospecting the protein design landscape

open access: yesFEBS Letters, EarlyView.
This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona   +4 more
wiley   +1 more source

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