Results 91 to 100 of about 10,978,092 (285)

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

open access: yesAdvanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa   +19 more
wiley   +1 more source

Using Expertise Predictions to Facilitate Self-Regulated Learning

open access: yes, 2012
The self-awareness of the breadth and depth of one´s exper- tise is crucial for self-regulated learning. We propose an interface using predicted expertise scores that assists learners in reflecting their exper- tise.
Daxböck, Johannes   +2 more
core   +4 more sources

HUBUNGAN SELF REGULATED LEARNING DAN DISIPLIN TERHADAP PRESTASI BELAJAR

open access: yesAnalitika, 2017
This research aim to to know the Relation of Self Regulated Learning And Discipline of To Achievement Learn. From statistical assess the raport, achievement of students SMP Negeri I,  Lau Baleng. Subdistrict of Lau Baleng, Regency of Land; Ground Karo so
Simon Alex Kristison Manurung   +1 more
doaj  

Self-Regulated Learning

open access: yesSFU Educational Review, 2015
NA
openaire   +2 more sources

Advances in Sustainable and Wearable Textile Based Soft Robotics

open access: yesAdvanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas   +6 more
wiley   +1 more source

Functionalizing Micro‐to‐Mesoscopic Electrode Architectures for Regulating Electron Transfer Behaviors in Electrocatalysis

open access: yesAdvanced Functional Materials, EarlyView.
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao   +6 more
wiley   +1 more source

The fundamentals of a potentiating learning milieu: expanding capacity for student internalisation and self-regulated learning [PDF]

open access: yes, 2012
In learning communities, academic and social education of students require teachers, as significant and influential role models, to create learning contexts that promote self-regulation, while attending to the psychological needs of competence, autonomy ...
McLennan, Brad, Peel, Karen
core   +1 more source

Self regulated learning strategies in groups of learners [PDF]

open access: yes, 2014
The technological revolution gives the opportunity to upgrade the quality in education, through new ways of learning. Self-regulated learning is an active and constructive process where self regulated learning proposes learning strategies in monitoring ...
Pange, Jenny; Distance Learning University of Ioannina
core   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

open access: yesAdvanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan   +4 more
wiley   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

open access: yesAdvanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang   +3 more
wiley   +1 more source

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