Results 171 to 180 of about 532,868 (319)

The Coalgebraic Class Specification Language CCSL [PDF]

open access: green, 2001
Jan Rothe, Hendrik Tews, Bart Jacobs
openalex   +1 more source

Mechanical Forces Guide Axon Growth through the Nigrostriatal Pathway in an Organotypic Model

open access: yesAdvanced Science, EarlyView.
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

Generation of Neural Organoids and Their Application in Disease Modeling and Regenerative Medicine

open access: yesAdvanced Science, EarlyView.
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
wiley   +1 more source

PENCIL Language Specification

open access: yes, 2015
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
openaire   +1 more source

Drug Resistance Predictions Based on a Directed Flag Transformer

open access: yesAdvanced Science, EarlyView.
 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

deepTFBS: Improving within‐ and Cross‐Species Prediction of Transcription Factor Binding Using Deep Multi‐Task and Transfer Learning

open access: yesAdvanced Science, EarlyView.
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

Home - About - Disclaimer - Privacy