Results 171 to 180 of about 532,868 (319)
The Coalgebraic Class Specification Language CCSL [PDF]
Jan Rothe, Hendrik Tews, Bart Jacobs
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Mechanical Forces Guide Axon Growth through the Nigrostriatal Pathway in an Organotypic Model
Nano‐pulling is a magnetic nanoparticle‐based technology for guiding and promoting the axon growth of induced pluripotent stem cell‐derived dopaminergic neurospheres in vitro or neural progenitors transplanted in the brain tissue. Fine control of axon guidance is essential for reconstructing neural networks and restoring functional connectivity in the ...
Sara De Vincentiis+7 more
wiley +1 more source
A specification of a spatial query language over GML [PDF]
J. E. Córcoles, Pascual González
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Generation of Neural Organoids and Their Application in Disease Modeling and Regenerative Medicine
Neural organoids provide a versatile platform for neurological research. Advances in organoid technology have partially achieved human neural tissue complexity in terms of tissue structure, cell diversity, and neural signaling, offering insights into neural disorders and regenerative strategies. Technology advances from biomaterials, bio‐manufacturing,
Ruiqi Huang+4 more
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Programming accelerators such as GPUs with low-level APIs and languages such as OpenCL and CUDA is difficult, error prone, and not performance-portable. Automatic parallelization and domain specific languages (DSLs) have been proposed to hide this complexity and to regain some performance portability.
Baghdadi, Mohamed Riyadh+8 more
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Drug Resistance Predictions Based on a Directed Flag Transformer
CAPTURE, a deep learning framework combining structural and sequence data to predict drug‐resistant Mpro mutations, revealing that PAXLOVID use may be accelerating resistance—supporting real‐time viral surveillance and therapeutic design. Abstract The evolving SARS‐CoV‐2 virus threatens global public health, particularly with potential resistance to ...
Dong Chen+8 more
wiley +1 more source
The Larch/Smalltalk interface specification language
Yoonsik Cheon, Gary T. Leavens
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DeepTFBS leverages deep learning to predict transcription factor binding sites across species, integrating multi‐task and transfer learning approaches to improve performance in data‐scarce scenarios. This study demonstrates enhanced accuracy in intra‐ and cross‐species prediction, revealing conserved regulatory patterns and functional variants.
Jingjing Zhai+8 more
wiley +1 more source
A Comparative Study of Policy Specification Languages for Secure Distributed Applications [PDF]
Sandrine Duflos+3 more
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