Results 251 to 260 of about 847,681 (313)

The Role of Generative Artificial Intelligence in Shaping University Students' Learning Behavior: A Mixed-Method Research Based on the COM-B Model. [PDF]

Behav Sci (Basel)
Ma R, Guo M.
europepmc   +1 more source

Transparent and Robust LiCl–Organohydrogel Triboelectric Nanogenerator With Deep Learning Assisted Sensing

Advanced Functional Materials, EarlyView.
Develop a LiCl–PEI–PAM hydrogel with 3000% stretchability and excellent optical transparency. Through comparative studies of various salts, confirm that LiCl is the most suitable salt for high TENG output. Achieve excellent freeze‐resistant, dry‐resistant, and rapid self‐healing (10 s) properties even in extreme environments. Balance ionic conductivity,
Hai Anh Thi Le, Thien Trung Luu, Duc‐Manh Dinh, Kyehan Rhee, Kyungwho Choi, Dukhyun Choi, Yong Tae Park   +6 more
wiley   +1 more source

Machine learning-based model for predicting recanalization in isolated distal deep vein thrombosis and analysis of predictors. [PDF]

PLoS One
Kuang Y, Zhang J, An Z, Yang C, Guo W, Liu X, Zhang Y.   +6 more
europepmc   +1 more source

Making Sense of Shoulder Exercise: Measuring the Accuracy of an Artificial Intelligence Model to Classify Shoulder Exercise via Wearable Sensors Among People With and Without Rotator Cuff Tendinopathy. [PDF]

Eur J Sport Sci
Naunton J, Jiang Y, Bini R, Kidgell D, Bennell K, Haines T, Kulić D, Malliaras P.   +7 more
europepmc   +1 more source

Combinatorial Probabilities of Multiple Fragmentation Events Explain Polypeptide MS/MS Intensity Distribution, Overrepresentation of Smaller Fragments, and Missing Middle of Top-Down MS. [PDF]

Rapid Commun Mass Spectrom
Yang W, Alam N, Agar JN.
europepmc   +1 more source

Supporting independent learning: issues and interventions

, 2006

core  

Independent learning is the new employability

, 2014
Fox, K.
core  

Explainable machine learning identifies knee morphology thresholds for arthroscopic medial meniscus posterior root tear: a retrospective cohort study. [PDF]

Front Med (Lausanne)
Zhang M, Guo F, Li Y, Zheng J, Yu Y, Chen M, Li R, Liao Y, Chen Q, He C.   +9 more
europepmc   +1 more source

ac4C modification sites prediction in human mRNA: a complete review. [PDF]

Brief Bioinform
Zulfiqar H, Ahmad RM, Lin H, Yu XL.
europepmc   +1 more source