Results 141 to 150 of about 971,207 (276)
Anytime-Anywhere: Personalised Time Management in Networking for e-Learning [PDF]
Personalisation in the provision of higher education (HE) has gained traction driven by socio-economic, demographic, and employment changes in the student population.
Moore, Philip
core
Active Learning‐Guided Accelerated Discovery of Ultra‐Efficient High‐Entropy Thermoelectrics
Advanced Materials, EarlyView.An active learning framework is introduced for the accelerated discovery of high‐entropy chalcogenides with superior thermoelectric performance. Only 80 targeted syntheses, selected from 16206 possible combinations, led to three high‐performance compositions, demonstrating the remarkable efficiency of data‐driven guidance in experimental materials ...
Hanhwi Jang +8 more
wiley +1 more source
Strategies for Enhancing Thermal Conductivity of PDMS in Electronic Applications
Advanced Materials Technologies, EarlyView.This review explores effective strategies for enhancing heat dissipation in Polydimethylsiloxane (PDMS)‐based composites, focusing on particle optimization, 3D network design, and multifunctional integration. It offers key insights into cutting‐edge methods and simulations that are advancing thermal management in modern electronic devices.
Xiang Yan, Marisol Martin‐Gonzalez
wiley +1 more source
Printed 2.5D‐Microstructures with Material‐Specific Functionalization for Tunable Biosensing
Advanced Materials Technologies, EarlyView.The 2.5D‐MiSENSE platform integrates a microstructured biosensor with an in‐line milking pipeline to enable real‐time detection of mastitis biomarkers during active milk flow. The system uses a 2.5D microengineered surface and patterned electrodes to enhance milk–sensor interaction.
Matin Ataei Kachouei +2 more
wiley +1 more source
Advanced Materials Technologies, EarlyView.Roll‐to‐roll direct‐current sputtering enables room‐temperature manufacture of flexible bismuth telluride thermoelectric films. By identifying a low‐power deposition window that suppresses charge‐induced arcing, this work links sputtering conditions to film structure, charge transport, and thermoelectric performance, achieving a room‐temperature figure
Xudong Tao +5 more
wiley +1 more source
From Web to Web 2.0 and e-Learning 2.0
, 2009 In this chapter the authors analyze issues and ideas regarding the next generation of e-Learning, which is already known as e-Learning 2.0 or social e-Learning. They will look at the new learning tools that have emerged from the evolution of the Web, to the Web 2.0 paradigm, discussing their potential for supporting modern and independent lifelong ...
Coutinho, Clara Pereira +1 more
openaire +1 more source
Ductility Tuning via Cluster Network Characteristics of Porous Components
Advanced Materials Technologies, EarlyView.Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba +4 more
wiley +1 more source
TECNOLOGIAS 2.0 E NOVAS CIDADANIAS EMERGENTES
Revista Interdisciplinar em Cultura e Sociedade, 2017 Neste texto, situou-se a sociedade do século XXI, impactada pelas Tecnologias 2.0 e o que repercutem nas novas necessidades de formação das pessoas. No enquadramento do contexto, apresentam-se situações onde são discutidas a visão de homem, de sociedade,
Sannya Fernanda Nunes Rodrigues
doaj
3D Printing of Stretchable, Compressible and Conductive Porous Polyurethane for Soft Robotics
Advanced Materials Technologies, EarlyView.A 3D‐printable porous dopamine‐polyurethane acrylate elastomer results in conductive, stretchable, and compressible structures that can be metallized in situ through catechol‐mediated silver reduction. The resulting material function as both compliant soft robot with a and strain sensors without complex assemblies, enabling fully 3D‐printed soft ...
Ouriel Bliah +3 more
wiley +1 more source
Excitonic Landscapes in Monolayer Lateral Heterostructures Revealed by Unsupervised Machine Learning
Advanced Optical Materials, EarlyView.Hyperspectral photoluminescence data from graded MoxW1 − xS2 alloys and monolayer MoS2–WS2 lateral heterostructures are analyzed using unsupervised machine learning. The combined use of PCA, t‐SNE, and DBSCAN uncovers distinct excitonic regions that trace how composition, strain, and defects modulate optical responses in these 2D materials.
Maninder Kaur +4 more
wiley +1 more source