Results 91 to 100 of about 1,303,110 (322)
Editorial: Comparing Educational Modelling Languages on the "Planet Game" Case Study
Journal of Interactive Media in Education, 2008 A few eLearning research teams promoting a scenario-based approach have adopted the IMS-LD specification, At the same time, other teams have developed other notations, languages and meta-models related to IMS-LD, along with tools and methodologies for ...
Laurence Vignollet +2 more
doaj +1 more source
FEBS Open Bio, EarlyView.What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman +4 more
wiley +1 more source
Learning Styles Adaptation Language for Adaptive Hypermedia [PDF]
, 2006 Typically, the behavior of adaptive systems is specified by a set of rules that are hidden somewhere in the system’s implementation. These rules deal with instances of the domain model. Our purpose is to specify the adaptive response of the system at a higher level (to be applied and reused for different domains or adaptive applications) in an explicit
Stash, N., Cristea, A.I., De Bra, P.M.E.
openaire +2 more sources
Adaptive learning is structure learning in time
Neuroscience & Biobehavioral Reviews, 2020 People use information flexibly. They often combine multiple sources of relevant information over time in order to inform decisions with little or no interference from intervening irrelevant sources. They adjust the degree to which they use new information over time rationally in accordance with environmental statistics and their own uncertainty.
Linda Q. Yu +2 more
openaire +3 more sources
Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications
FEBS Open Bio, EarlyView.This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley +1 more source
, 2010 We consider various versions of adaptive Gibbs and Metropolis- within-Gibbs samplers, which update their selection probabilities (and perhaps also their proposal distributions) on the fly during a run, by learning as they go in an attempt to optimise
Rosenthal, Jeffrey S. (Jeffrey Seth) +1 more
core +3 more sources
The Aging Blood: Cellular Origins, Circulating Drivers, and Therapeutic Potential
Aging and Cancer, EarlyView.As a conduit linking all organs, the blood system both reflects and actively drives systemic aging. This review highlights how circulating pro‐aging and antiaging factors and age‐associated hematopoietic stem cell dysfunction contribute to immunosenescence and multi‐organ decline, positioning the hematopoietic system as a target for aging intervention.
Hanqing He, Jianwei Wang
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epilepsy is increasingly associated with immune dysregulation and inflammation. The T cell receptor (TCR), a key mediator of adaptive immunity, shows repertoire alterations in various immune‐mediated diseases. The unique TCR sequence serves as a molecular barcode for T cells, and clonal expansion accompanied by reduced overall TCR ...
Yong‐Won Shin +12 more
wiley +1 more source
Learning the optimal buffer-stock consumption rule of Carroll [PDF]
This article questions the rather pessimistic conclusions of Allen et Carroll (2001) about the ability of consumer to learn the optimal buffer-stock based consumption rule.
Isabelle Salle +3 more
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ADADELTA: An Adaptive Learning Rate Method [PDF]
, 2012 We present a novel per-dimension learning rate method for gradient descent called ADADELTA. The method dynamically adapts over time using only first order information and has minimal computational overhead beyond vanilla stochastic gradient descent.
Zeiler, Matthew D.
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