Results 261 to 270 of about 617,016 (320)
A fused deep learning approach to transform drug repositioning. [PDF]
Commun ChemLi K +9 more
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Beyond Conventional Cooling: Advanced Micro/Nanostructures for Managing Extreme Heat Flux
Advanced Materials, EarlyView.This review examines the design, application, and manufacturing of biomimetic or engineered micro/nanostructures for managing high heat‐flux in multi‐level electronics by enhancing conductive, convective, phase‐changing, and radiative heat transfer mechanisms, highlighting their potential for efficient, targeted thermal management, and future prospects.
Yuankun Zhang +7 more
wiley +1 more source
Trainable embedding quantum physics informed neural networks for solving nonlinear PDEs. [PDF]
Sci RepBerger S, Hosters N, Möller M.
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Optimization for threat classification of various data types-based on ML model and LLM. [PDF]
Sci RepHong C, Oh T.
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Generation of Agarose-Based FFPE Cancer Organoids for Morphology Preservation. [PDF]
Bio ProtocLee MR +5 more
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Ergotamine, triptans, and the global challenge of medication-overuse headache: a call to action from Asia-Oceania. [PDF]
J Headache PainWijeratne T, Martelletti P.
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On the optimal layout of (K<sub>p</sub> - C<sub>p</sub>)<sup>n</sup> into grid and certain structures. [PDF]
Sci RepVincy GC, Micheal DR.
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COMPUTABILITY AND THE CONNES EMBEDDING PROBLEM
The Bulletin of Symbolic Logic, 2016AbstractThe Connes Embedding Problem (CEP) asks whether every separable II1 factor embeds into an ultrapower of the hyperfinite II1 factor. We show that the CEP is equivalent to the statement that every type II1 tracial von Neumann algebra has a computable universal theory.
Goldbring, Isaac, Hart, Bradd
openaire +2 more sources