Results 231 to 240 of about 15,174,398 (300)

Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis

Advanced Science, EarlyView.
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko, Eric S. Larsen, Govind Paneru, Kisung Lee, Diana V. Kolygina, Yankai Jia, Elizabeth Maria Clarissa, Wai‐Shing Wong, Bartosz A. Grzybowski   +8 more
wiley   +1 more source

Digital Choice Architecture in Medical Education: Applying Behavioral Economics to Online Learning Environments. [PDF]

JMIR Med Educ
Ekstrom V.
europepmc   +1 more source

AI‐Powered, Temperature‐Resolved Centrifugal Microfluidics for Rapid 3D Phase‐Diagram Generation of Biomolecular Condensates

Advanced Science, EarlyView.
By merging centrifugal microfluidics, precise temperature control, and AI image recognition, T‐PhaseMap transforms biomolecular condensate phase mapping into a rapid, temperature‐resolved workflow. It generates 3D composition–temperature phase diagrams within 30 min, resolves four phase states, and uncovers temperature‐dependent heparin sodium ...
Jiashuo Li, Pengjie Li, Kaiting Zhang, Yongqi Guo, Peng Chen, Bi‐Feng Liu, Yiwei Li   +6 more
wiley   +1 more source

Ensemble machine learning framework with SHAP and LIME for accurate early prediction of student success in online learning environments. [PDF]

Sci Rep
Almazroei EE.
europepmc   +1 more source

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

Advanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia, Siyu Li, Songming Tang, Keju Gu, Shengquan Chen   +4 more
wiley   +1 more source

Validity and reliability study of the dental students of attitudes towards online learning scale. [PDF]

BMC Med Educ
Kaşali̇ K, Özkal Emi̇noğlu D, Demi̇rer Üstündağ Ş.   +2 more
europepmc   +1 more source

Near‐Infrared Fluorescent PROTAC Enables Theranostic Imaging and Selective Tau Degradation in Alzheimer's Disease

Advanced Science, EarlyView.
Here, we report a novel NIR fluorescent PROTAC platform that enables real‐time imaging and targeted degradation of Alzheimer's p‐Tau. Our lead compound effectively clears p‐Tau, reduces APP/Aβ, and alleviates cognitive deficits in AD mice. This work demonstrates a theranostic strategy for visualizing degradation and developing next‐generation AD ...
Ziwei Ren, Qian Yue, Ning Gao, Qiu‐Lian Hao, Yan Huo, Chuchu Li, Xinyue Leng, Lu‐Lu Sun, Maggie Pui Man Hoi, Hai‐Hao Han, Mingliang Ma, Xu‐Wen Li   +11 more
wiley   +1 more source

Exploring gamified health interventions in oral oncology: Improving self-management and treatment adherence

Clinical Epidemiology and Global Health
Vikas V. Pawar, Safia Farooqui
doaj   +1 more source

The effects of informal digital learning, intrinsic motivation, and grit on online learning effort regulation and English achievement. [PDF]

Sci Rep
Alshammari SH, Alrashidi O.
europepmc   +1 more source

Structural Divergence Between the Moltbook AI‐Agent Network and Human Social Networks

Advanced Science, EarlyView.
Analysis of the Moltbook AI‐agent network reveals a striking combination of familiar global scaling and distinct internal organization. Attention is highly concentrated, reciprocity is limited, connected triads are suppressed, and communities are strongly modular.
Wenpin Hou, Zhicheng Ji
wiley   +1 more source