Results 71 to 80 of about 16,621,545 (393)

Biophysical analysis of angiotensin II and amyloid‐β cross‐interaction in aggregation and membrane disruption

open access: yesFEBS Letters, EarlyView.
Angiotensin II (AngII), a neuropeptide, interacts with amyloid‐β (Aβ), a key player in Alzheimer's disease. This study reveals that AngII reduces Aβ aggregation and membrane disruption in vitro. Biophysical assays and molecular modeling suggest AngII binds disordered Aβ forms, potentially modulating early amyloidogenic events and contributing to ...
Mohsen Habibnia   +5 more
wiley   +1 more source

Social learning with coarse inference [PDF]

open access: yes, 2009
We study social learning by boundedly rational agents. Agents take a decision in sequence, after observing their predecessors and a private signal. They are unable to understand their predecessors’ decisions in their finest details: they only understand ...
Guarino, A., Jehiel, P.
core  

Leveraging the employee voice: a multi-level social learning perspective of ethical leadership

open access: yes, 2019
Extending social learning theory to a multi-level perspective, this study proposes a theoretical model that investigates both individual and team-level mechanisms that mediate the effect of ethical leadership on employee voice.
Yuntao Bai, Li Lin, Joseph T. Liu
semanticscholar   +1 more source

The pervasive role of social learning in primate lifetime development

open access: yesBehavioral Ecology and Sociobiology, 2018
In recent decades, an accelerating research effort has exploited a substantial diversity of methodologies to garner mounting evidence for social learning and culture in many species of primate. As in humans, the evidence suggests that the juvenile phases
A. Whiten, Erica van de Waal
semanticscholar   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

open access: yesMolecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Implementation of the Assistive Product List (APL) in Malawi through development of appropriate policy and systems: an action research protocol

open access: yesBMJ Open, 2020
Introduction Assistive technology (AT) is important for the achievement of the sustainable development goals (SDGs) for persons with disabilities (PWD). Increasingly, studies suggest a significant gap between the need for and demand for and provisions of
Ikenna D Ebuenyi   +5 more
doaj   +1 more source

Psychometric properties of the Adolescent Resilience Questionnaire (ARQ) in a sample of Swedish adolescents

open access: yesBMC Psychiatry, 2022
Background The importance of resilience, and interest in it, has increased markedly in recent years, based on the need to understand why some children and young people have a resilience to stress that others lack.
Doris Nilsson   +4 more
doaj   +1 more source

Towards a social learning space for open educational resources [PDF]

open access: yes, 2010
We identify a number of meanings of “Open”, as part of the motivating rationale for a social media space tuned for learning, called SocialLearn. We discuss why online social learning seems to be emerging so strongly at this point, explore features of ...
Buckingham Shum, Simon   +1 more
core  

Stakeholder engagement in water governance as social learning: lessons from practice

open access: yesOECD Principles on Water Governance, 2018
The OECD Principles on Water Governance set out various requirements for stakeholder engagement. Coupled with conceptualizations of social learning, this article asks how we define and enact stakeholder engagement and explores the actual practice of ...
U. Wehn   +4 more
semanticscholar   +1 more source

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

open access: yesMolecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes   +20 more
wiley   +1 more source

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