Results 161 to 170 of about 5,691,467 (362)
Novel Electroactive Therapeutic Platforms for Cardiac Arrhythmia Management
Electroactive platforms offer promising applications in cardiac arrhythmia. Based on their energy sources and mechanisms, electroactive platforms are categorized into i) direct electrical stimulation, ii) self‐powered electroactive systems, iii) physical stimuli‐mediated electroactive systems, and iv) conductive systems, and their applications in ...
Juwei Yang+4 more
wiley +1 more source
Intimate partner violence is a major problem in Australia, impacting many families that are on the cusp of disruption and intervention by the child protection system. Using an innovative method of inquiry, the article explores the role of dedicated men's workers in a South Australian non‐government organisation's intensive family service that works ...
Alex Haines+10 more
wiley +1 more source
Effectiviteit van Blended Learning
Het doel van de dissertatie ‘Effectiviteit van Blended Leren’ was om meer inzicht te krijgen in de werkzame principes van blended learning zoals deze op dit moment veelal worden toepast binnen het hoger onderwijs. Meer inzicht in de huidige werkzame principes kan als startpunt dienen voor toekomstige ontwikkeling van blended learning modellen ...
Bos, N.R., Brand-Gruwel, S.
openaire +2 more sources
Colloidal nanoparticles self‐assembly advances towards intelligent, customized assembly through precise control of binary co‐assemblies. This review explores the evolution from monolithic to binary assemblies, highlighting how the AI‐guided programmable assembly approach has the potential to shift from passive assembly to active intelligent design.
Cancan Li+5 more
wiley +1 more source
Computational and AI‐Driven Design of Hydrogels for Bioelectronic Applications
This review highlights the role of AI in advancing hydrogel design for bioelectronics, exploring natural, and synthetic gels tailored for applications like wound healing, biosensing, and tissue engineering. It emphasizes the synergy between hydrogels, electronics, and AI in creating responsive, multifunctional systems, showcasing recent innovations ...
Rebekah Finster+2 more
wiley +1 more source
Learning to Blend by Relevance
Emergence of various vertical search engines highlights the fact that a single ranking technology cannot deal with the complexity and scale of search problems. For example, technology behind video and image search is very different from general web search. Their ranking functions share few features. Question answering websites (e.g., Yahoo! Answer) can
Chen, Jiang+3 more
openaire +2 more sources
Design of Experiment and machine learning regression models are leveraged to analyze four process parameters (thickness, pore ratio, applied force, and frequency) of a contact‐separation triboelectric nanogenerator with graphene‐PDMS and aluminum layers using experimental data for the validation of predicted performance and the optimization of the ...
Mohammad Abrar Uddin+6 more
wiley +1 more source
Abstract Prior to the challenges imposed by the Covid‐19 pandemic, anatomy practical sessions at Trinity College Dublin involved eight to 10 students per donor station, rotating between digital learning, anatomical models/osteology, and dissection activities for three hours weekly.
Dearbhla P. Cullinane, Denis S. Barry
wiley +1 more source
PROPUESTA BLENDED LEARNING: “QUÍMICA METABÓLICA” GUÍA de aprendizaje
Fabio Wilches Quintana+1 more
openalex +2 more sources
This study demonstrates PyCaret's AutoML framework for predicting the electrochemical and structural properties of MXene‐based electrodes, including intercalation voltage, capacity, and lattice constants. AutoML streamlines workflows, ranks key elemental descriptor, and enables inverse molecular formula prediction based on performance targets.
Berna Alemdag+3 more
wiley +1 more source