Results 191 to 200 of about 30,553 (220)

Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction

Advanced Science, EarlyView.
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen, Guancen Lin, Chuan‐Shen Hu, Yong Wang   +3 more
wiley   +1 more source

Neuromodulation of Working Memory: Mechanisms, Targets, and Behavioral Outcomes. [PDF]

Neurosci Insights
Sadat Rafiei SK, Ghorbani F, Rezaei J, Saremi A, Rafiei M, Hajizamani S, Asadi Anar M, Samiei M.   +7 more
europepmc   +1 more source

Thermodynamic prediction of RNA cellular activity from sequence via conformational ensembles. [PDF]

Cell
Geng A, Roy R, Ken M, Li L, Chime A, Abou Assi H, Liu B, Bou-Nader C, Lee Y, Zhang J, Herschlag D, Goff SP, Al-Hashimi HM.   +12 more
europepmc   +1 more source

Heutagogy: A Comprehensive Review of Self-Determined Learning in Contemporary Education. [PDF]

Cureus
Panta R.
europepmc   +1 more source

Priming iTBS for lower limb rehabilitation after stroke: Protocol for a randomized controlled trial on efficacy and neuroplasticity. [PDF]

PLoS One
Pan Z, Lu J, Sun Y, Qian Y, Shao Y, Chen C, Liu H, Zhang J, Huang Z, Sun L, Yu K, Zhou Y, Wang H, Su B.   +13 more
europepmc   +1 more source

Techniques for mitigating overfitting in machine learning: a comprehensive review, taxonomy, and practical guide. [PDF]

Front Artif Intell
Sheppert AP.
europepmc   +1 more source

MetaComb: a meta-learning framework for drug combination response prediction from cell lines to patients. [PDF]

Front Genet
Guo C, Li T, Deng X, Ma Y, He F, Diao L, Wang Z, Li D, Liu Z.   +8 more
europepmc   +1 more source

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Action Learning, Fragmentation, and the Interaction of Single-, Double-, and Triple-Loop Change

The Journal of Applied Behavioral Science, 1999
The action-learning framework is traditionally used to summarize complex change efforts as one of three methods: single-, double-, or triple-loop. Although this summary is quite useful for some kinds of organizational analysis, it can oversimplify and thus ignore the fragmented, contradictory nature of change.
Erica Gabrielle Foldy, W. E. Douglas Creed   +1 more
openaire   +3 more sources