Results 251 to 260 of about 9,658,672 (368)

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

Advanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin   +8 more
wiley   +1 more source

Problem-based learning in radiology achieves similar results in classroom and metaverse settings. [PDF]

Insights Imaging
Rudolphi-Solero T, Bajos-Ariza F, Lorenzo-Álvarez R, Domínguez-Pinos D, Ruiz-Gómez MJ, Sendra-Portero F.   +5 more
europepmc   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Evaluation of a Problem-Based Learning Program's Effect on Artificial Intelligence Ethics Among Japanese Medical Students: Mixed Methods Study.

JMIR Med Educ
Ota Y, Asada Y, Kubo S, Kanno T, Yagi MS, Matsuyama Y.   +5 more
europepmc   +1 more source

The effectiveness of symptom-oriented mind mapping combined with problem-based learning in critical care clerkships: a randomized controlled trial. [PDF]

Front Public Health
Gao T, Zhao X, Wang B, Wang L, Mao Y, Wang D, Han Z, Qureshi V, Xu X, Qian L, Yang C, Yin J, Shao R, Wang W, Yang X.   +14 more
europepmc   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source

The lived experiences of pediatric nursing students following high-fidelity simulations and problem-based learning sessions. [PDF]

BMC Nurs
Aldolaim S, Aldossary LA, Almomin IA, Haitham AA.   +3 more
europepmc   +1 more source

Efficiency of Problem-Based Learning in Medical Education: Views of Tutors and Students

, 2016
Erol Gurpinar
openalex   +1 more source

Engineered Microfluidic Organoid Systems: New Paradigms for Menopause Mechanism Research and Personalized Medicine

Advanced Materials Technologies, EarlyView.
This review explores the integration of microfluidic technology with organoid systems as an innovative platform for studying menopausea complex multi‐organ condition. By enabling precise simulation of inter‐organ communication and hormone responses, microfluidic organoids offer a physiologically relevant model for investigating menopausal syndrome and ...
Qianyi Zhang, He Huang, Hongliang Dong, Qiang Ma, Hongyan Jin   +4 more
wiley   +1 more source

Nurse educators' challenges of problem-based learning implementation at Ethiopian public universities: A phenomenological qualitative study. [PDF]

PLoS One
Bolado GN, Atinafu Ataro B, Ersino Kebamo T, Shibabaw Ayana A, Mimani Minuta W.   +4 more
europepmc   +1 more source