Results 101 to 110 of about 2,356,418 (271)

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

The world of distance learning

Journal of Open, Flexible and Distance Learning, 2012
Column covering topical topical events and summaries of new publications in the field of distance learning.
Andrea McIlroy
doaj   +2 more sources

Transformations of Early Childhood Teachers’ Attitudes Through the ONDAS Training Program

Education Sciences
This study examined changes in the attitudes of early childhood teachers resulting from their participation in the ONDAS Training Program, a Colombian government strategy designed to strengthen professional skills and dispositions through reflective ...
Edgar Sosa, Liliana Silva
doaj   +1 more source

Region‐to‐Region Unidirectional Connection In Vitro Brain Model for Studying Directional Propagation of Neuropathologies

Advanced Functional Materials, EarlyView.
A unidirectional cerebral organoid–organoid neural circuit is established using a microfluidic platform, enabling controlled directional propagation of electrical signals, neuroinflammatory cues, and neurodegenerative disease–related proteins between spatially separated organoids.
Kyeong Seob Hwang, Hui‐Wen Liu, Hyogeun Shin, Hyun Wook Kang, Minjin Kang, Jongbaeg Kim, Il‐Joo Cho, Nakwon Choi, Seok Chung, Hong Nam Kim   +9 more
wiley   +1 more source

The world of distancce learning

Journal of Open, Flexible and Distance Learning, 2012
Column covering topical topical events and summaries of new publications in the field of distance learning.
Terry Hearn
doaj   +2 more sources

Assessing the efficacy of online teaching with the Constructivist online learning environment survey [PDF]

, 2000
Teachers of science, mathematics and technology Australia wide are being required to transform their established epistemologies of practice in order to engage learners as active conceptualisers within socially interactive learning environments.
Maor, D., Taylor, P.
core   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Distance Learning

Procedia - Social and Behavioral Sciences, 2014
AbstractAdvantage of e-learning often include flexibility and convenience for the learner, facilitation of communication between learner, greater adaptability to a learner's need, more variety in learner experience with using multimedia and the non-verbal presentation of teaching material.
openaire   +1 more source

Structure–Transport–Ion Retention Coupling for Enhanced Nonvolatile Artificial Synapses

Advanced Functional Materials, EarlyView.
Nitrogen incorporation into the conjugated backbone of donor–acceptor polymers enables efficient charge transfer and deep ion embedding in organic electrochemical synaptic transistors (OESTs). This molecular‐level design enhances non‐volatile synaptic properties, providing a new strategy for developing high‐performance and reliable neuromorphic devices.
Donghwa Lee, Jinsung Kim, Sein Chung, Junho Sung, Chaeyeon Han, Eunho Lee   +5 more
wiley   +1 more source

Exploring Greek Upper Primary School Students’ Perceptions of Artificial Intelligence: A Qualitative Study Across Cognitive, Emotional, Behavioral, and Ethical Dimensions

Computers
This study investigates the perceptions of Greek sixth-grade students regarding Artificial Intelligence (AI). Understanding students’ pre-instructional conceptions is essential for developing targeted interventions that build on existing knowledge rather
Konstantinos Kotsidis, Georgios Chionas, Panagiotes Anastasiades   +2 more
doaj   +1 more source