Results 51 to 60 of about 11,972,539 (301)

Piecemeal learning of an unknown environment [PDF]

open access: yesProceedings of the sixth annual conference on Computational learning theory - COLT '93, 1993
We introduce a new learning problem: learning a graph by piecemeal search, in which the learner must return every so often to its starting point (for refueling, say). We present two linear-time piecemeal-search algorithms for learning city-block graphs: grid graphs with rectangular obstacles.
Margrit Betke   +2 more
openaire   +5 more sources

Structure‐forward targeting of claudins with synthetic binders

open access: yesFEBS Letters, EarlyView.
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

A framework to study learning in a complex learning environment [PDF]

open access: yes, 2004
This paper presents a framework for analysing variations in the ways in which students experience learning in complex, computer-supported environments.
Berglund, Anders   +3 more
core   +1 more source

Emotional well-being of schoolchildren: theoretical foundations and prospects for research

open access: yesОбразование и наука, 2023
Introduction. Within the framework of current educational reforms, a trend towards raising requirements for intellectual and psycho-emotional abilities of all educational process participants has become evident.
A. A. Pecherkina   +2 more
doaj   +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

Higher Education: Increased and Equitable Access to Quality Learning Opportunities

open access: yes, 2019
Given that many developing countries seek to increase participation in Higher Education (HE), COL will work with Ministries of Education and HE Institutions to support capacity building including the development and implementation of Open and Distance ...
Commonwealth of Learning
core   +1 more source

The Combination of Artificial Intelligence and Extended Reality: A Systematic Review

open access: yesFrontiers in Virtual Reality, 2021
Artificial intelligence (AI) and extended reality (XR) differ in their origin and primary objectives. However, their combination is emerging as a powerful tool for addressing prominent AI and XR challenges and opportunities for cross-development.
Dirk Reiners   +3 more
doaj   +1 more source

Factorio Learning Environment

open access: yesCoRR
Large Language Models (LLMs) are rapidly saturating existing benchmarks, necessitating new open-ended evaluations. We introduce the Factorio Learning Environment (FLE), based on the game of Factorio, that tests agents in long-term planning, program synthesis, and resource optimization.
Jack Hopkins, Mart Bakler, Akbir Khan
openaire   +3 more sources

Emerging experimental and computational methods for studying redox‐regulated structural transitions

open access: yesFEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass   +2 more
wiley   +1 more source

Quantifying the reliability gap in cross-domain plant disease classification: benchmarking the limited efficacy of standard mitigation techniques under controlled-to-field shift

open access: yesFrontiers in Plant Science
IntroductionConfidence calibration, selective prediction, out-of-distribution scoring, and deep ensembles are mature techniques in machine learning, yet their efficacy under the severe domain shift encountered when plant disease classifiers move from ...
Kun Xiang, Danxi Shi, Xiangbo Zhu
doaj   +1 more source

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