Results 241 to 250 of about 5,594,796 (332)

Automatic Calculation of Cervical Spine Parameters Using Deep Learning: Development and Validation on an External Dataset. [PDF]

Global Spine J
Nakarai H, Cina A, Jutzeler C, Grob A, Haschtmann D, Loibl M, Fekete TF, Kleinstück F, Wilke HJ, Tao Y, Galbusera F.   +10 more
europepmc   +1 more source

Active Learning‐Driven Discovery of Sub‐2 Nm High‐Entropy Nanocatalysts for Alkaline Water Splitting

Advanced Functional Materials, EarlyView.
High‐entropy nanoparticles (HENPs) hold great promise for electrocatalysis, yet optimizing their compositions remains challenging. This study employs active learning and Bayesian Optimization to accelerate the discovery of octonary HENPs for hydrogen and oxygen evolution reactions.
Sakthivel Perumal, Da Bean Han, Thandapani Marimuthu, Taewaen Lim, Hyun Woo Kim, Junhyeok Seo   +5 more
wiley   +1 more source

Assessment of learning needs and the development of an educational programme for registered nurses in advanced midwifery and neonatology

, 2000
AE Fichardt, Viljoen Mj
openalex   +2 more sources

Biodegradable, Humidity‐Insensitive Mask‐Integrated E‐Nose for Sustainable and Non‐Invasive Continuous Breath Analysis

Advanced Functional Materials, EarlyView.
This study introduces a paper‐based biodegradable, humidity‐insensitive e‐nose for real‐time breath analysis, addressing challenges in existing technologies such as humidity interference, high costs, and environmental impact. Featuring hydrophobic polymer coatings, these sensors reliably detect VOCs even in high‐moisture environments.
Indrajit Mondal, Adan Zoabi, Hossam Haick   +2 more
wiley   +1 more source

Prediction of Spontaneous Breathing Trial Outcome in Critically Ill-Ventilated Patients Using Deep Learning: Development and Verification Study.

JMIR Med Inform
Yang HC, Hao AT, Liu SC, Chang YC, Tsai YT, Weng SJ, Chan MC, Wang CY, Xu YY.   +8 more
europepmc   +1 more source

High‐Entropy Magnetism of Murunskite

Advanced Functional Materials, EarlyView.
The study of murunskite (K2FeCu3S4) reveals that its magnetic and orbital order emerges in a simple I4/mmm crystal structure with complete disorder in the transition metal positions. Mixed‐valence Fe ions randomly occupy 1/4 of the tetrahedral sites, with the remaining 3/4 being filled by non‐magnetic Cu+ ions.
Davor Tolj, Priyanka Reddy, Ivica Živković, Luka Akšamović, Jian Rui Soh, Kamila Komȩdera, Izabela Biało, Naveen Kumar Chogondahalli Muniraju, Trpimir Ivšić, Mario Novak, Oksana Zaharko, Clemens Ritter, Thomas LaGrange, Wojciech Tabiś, Ivo Batistić, László Forró, Henrik M. Rønnow, Denis K. Sunko, Neven Barišić   +18 more
wiley   +1 more source

Digitization of molecular complexity with machine learning. [PDF]

Chem Sci
Tyrin AS, Boiko DA, Kolomoets NI, Ananikov VP.   +3 more
europepmc   +1 more source

E-Learning Development as A Blended-Learning Learning to Support Interactive Learning Multimedia Development Course

Proceedings of the 2nd Yogyakarta International Conference on Educational Management/Administration and Pedagogy (YICEMAP 2019), 2020
Ariyawan Agung Nugroho, Sugeng Bayu Wahyono   +1 more
openaire   +2 more sources

Excitonic Emission Modulation in GaSe/MoS2 Van Der Waals Heterostructure Via Plasmonic Control of Interlayer Charge Transfer

Advanced Functional Materials, EarlyView.
Plasmonic hybridization enables control of light emission in 2D van der Waals heterojunctions. By stacking multilayer GaSe and monolayer MoS2 on a silver film, light emission is enhanced at the edges due to plasmonic effects. In the center, where these effects are absent, charge transfer led to reduced light emission.
Jung Ho Kim, Tae Yeon Kim, Min Choi, Hye Yun Jeong, Young Hee Lee, Hyun Seok Lee   +5 more
wiley   +1 more source

Cumulative cultural learning: Development and diversity. [PDF]

Proc Natl Acad Sci U S A, 2017
Legare CH.
europepmc   +1 more source