Results 141 to 150 of about 1,181,423 (274)

Bioinspired Adaptive Surfaces for Intelligent Liquid Manipulation: Progressing From Passive and Active to Hybrid Strategies

open access: yesAdvanced Materials, EarlyView.
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao   +3 more
wiley   +1 more source

Application of deep learning in intelligent recommendation and precise matching of educational resources

open access: yesDiscover Artificial Intelligence
The application of deep learning in education enables intelligent recommendation and precise matching of resources to learner needs, promoting personalized and adaptive learning. With the rapid growth of digital content, ensuring the delivery of relevant
Ye Zhang
doaj   +1 more source

Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications

open access: yesAdvanced Materials, EarlyView.
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko   +2 more
wiley   +1 more source

Online Blue Prism Training

open access: yes
Robotics is the new innovation in business and has profound impact on the several processes. Due to a multitude of advantages, Online Blue Prism training has attained a peak in the market.
Learner, R
core   +1 more source

Learner profiles: summary descriptive statistics [PDF]

open access: yes, 2009
Learner profiles: Summary descriptive statistics drawn from learner profiles returned to the Synthesis and Support Project.
JISC Learner Experiences of e-Learning programme
core  

Metal Oxide Nano‐Interface Boosting the Deep Ultraviolet Adjustable Noise‐Filtering In‐Sensor Computing

open access: yesAdvanced Materials, EarlyView.
We show that sol‐gel‐fractured indium–magnesium oxide combines deep‐ultraviolet responsivity, high carrier mobility, and an excellent memory dynamic range. This unique materials platform enables deep‐ultraviolet long‐afterglow light‐emitting devices with multifunctional integration.
Zhongshi Ju   +9 more
wiley   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

open access: yesAdvanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Understanding students' learner autonomy through practitioner research [PDF]

open access: yes
This thesis reports on practitioner research I conducted over two semesters teaching online listening courses to three different groups of students in Fu-Jen Catholic University in Taiwan.
Wei, Yi-Chun Sherri
core  

Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models

open access: yesAdvanced Materials, EarlyView.
Leveraging literature data, we build a large‐language‐model‐driven workflow that extracts synthesis steps from 4407 papers, retrieves similar precedents, and generates candidate solid‐state synthesis recipes. The system benchmarks against ground‐truth and then operates in a closed loop with experiments to synthesize oxy‐selenide electrolyte materials ...
Dong Won Jeon   +9 more
wiley   +1 more source

Learning About the Learner:

open access: yes, 2008
Introduction The study seeks to explore how e-learning is tackled by learners and thus investigate how hypermedia tools help to identify specific learner characteristics.
Deducing Learner Characteristics   +1 more
core  

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