Results 171 to 180 of about 808,186 (314)

Electroactive Metal–Organic Frameworks for Electrocatalysis

Advanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska, Yutong Luo, Ruyan Zhao, Jianjun Zhang, Mingchao Wang, Xinliang Feng, Eike Brunner, Stefan Kaskel   +7 more
wiley   +1 more source

Implementation of an online flipped classroom combined with case-based learning in small groups to improve knowledge of obstetric anesthesia. [PDF]

J Educ Health Promot
Albooghobeish M, Alizadeh A, Khalafi A, Sarvi-Sarmeydani N.   +3 more
europepmc   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

A pilot study of digital technology combined with case-based learning in clinical implantology training for specialists. [PDF]

BMC Med Educ
Zhuoying C, Yanming L.
europepmc   +1 more source

THE INTEGRATION OF SENTRA-BASED LEARNING AND INVOLVEMENT OF FAMILY PROGRAM AT EARLY CHILDHOOD IN DEVELOPING CHARACTER BUILDING (MULTI CASE AT PAUD MAWADDAH AND PAUD ALAM BERBASIS KARAKTER SAYANG IBU BANJARMASIN, INDONESIA)

, 2018
Mauimunah Maimunah, Ayu Hidayah Aslamiah, Ahmad Suriansyah   +2 more
openalex   +2 more sources

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

Developing critical thinking and professional skills in animal science students through case-based learning and cognitive interventions. [PDF]

Transl Anim Sci
Stucke RM, Vautier AN, Enns KJ, Cadaret CN.   +3 more
europepmc   +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 impact of artificial intelligence on case-based learning during pre-clerkship education. [PDF]

Can Med Educ J
Chai GW, Murariu AC, Leung FH.
europepmc   +1 more source

Creativity Skill Proses in Project Based Learning: A Case Study of Distance Learning in Pacitan

, 2020
Vit Ardhyantama, Slamet Widodo
openalex   +2 more sources