Results 101 to 110 of about 244,471 (294)

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

Advanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva, Giulio Fatti, Emanuel Carlos, Guilherme Ferreira, Sumita Goswami, Suman Nandy, Luiz H. C. Mattoso, Elvira Fortunato, Caio G. Otoni, Rodrigo Martins   +9 more
wiley   +1 more source

Potentials of integrating generative artificial intelligence technologies into formative assessment processes in higher education

Вестник Майкопского государственного технологического университета
The use of generative artificial intelligence technologies in education has the potential to revolutionize learning and educational assessment by personalizing the learning experience, providing immediate feedback, and improving the overall learning ...
A. A. Paskova
doaj   +1 more source

ChatGPT and Generative Artificial Intelligence for Medical Education: Potential Impact and Opportunity [PDF]

, 2023
Christy Boscardin, Brian C. Gin, Polo Black Golde, Karen E. Hauer   +3 more
openalex   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Using Artificial Intelligence in Employment: Problems and Prospects of Legal Regulation

Journal of Digital Technologies and Law
Objective: to identify the legal problems of using artificial intelligence in hiring employees and the main directions of solving them.Methods: formal-legal analysis, comparative-legal analysis, legal forecasting, legal modeling, synthesis, induction ...
D. A. Novikov
doaj   +1 more source

Multicolor Optoelectronic Synapse Enabled by Photon‐Modulated Remote Doping in Solution‐Processed Van Der Waals Heterostructures

Advanced Functional Materials, EarlyView.
Multicolor optoelectronic synapses are realized by vertically integrating solution‐processed MoS2 thin‐film and SWCNT. The electronically disconnected but interactive MoS2 enables photon‐modulated remote doping, producing a bi‐directional photoresponse.
Jihyun Kim, Hyunbin Kim, Gang Jin Cheon, Dohyun Lee, In Soo Kim, Uiyeon Won, Jongseok Lee, Sang Min Won, Joohoon Kang   +8 more
wiley   +1 more source

Generative artificial intelligence: the ‘more knowledgeable other’ in a social constructivist framework of medical education

npj Digital Medicine
Generative artificial intelligence can fulfil the criteria to be the ‘more knowledgeable other’ in a social constructivist framework. By scaffolding learning and providing a unique and augmented zone of proximal development for learners, it can simulate ...
Michael Tran, Chinthaka Balasooriya, Carolyn Semmler, Joel Rhee   +3 more
doaj   +1 more source

Educational innovation: Exploring the Potential of Generative Artificial Intelligence in cognitive schema building

Edutec
This study explores the use of generative artificial intelligence to enhance teaching and learning experience, focusing on strengthening and consolidating cognitive schemas.
Bernarda Salgado Granda, Yana Inzhivotkina, María Fernanda Ibáñez Apolo, Jorge Gustavo Ugarte Fajardo   +3 more
doaj   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Cash Flow Acceleration with Generative Artificial Intelligence (Gen AI) [PDF]

Ashok Kumar Bera
openalex   +1 more source