Results 211 to 220 of about 740,269 (354)

TVB C++: A Fast and Flexible Back‐End for The Virtual Brain

open access: yesAdvanced Science, EarlyView.
TVB C++ is a streamlined and fast C++ Back‐End for The Virtual Brain (TVB), designed to make it as flexible as TVB, and FAST. Another pillar is to be fully compatible with TVB so easy bindings can be created from Python. Users can easily configure TVB C++ to execute the same code but with enhanced performance and parallelism.
Ignacio Martín   +7 more
wiley   +1 more source

Deciphering the Role and Mechanism of Decidual Monocyte‐Derived Macrophage Infiltration in Obstetric Antiphospholipid Syndrome at Single‐Cell Resolution

open access: yesAdvanced Science, EarlyView.
This study uncovers a novel mechanism and therapeutic targets in obstetric antiphospholipid syndrome (OAPS). Antiphospholipid antibody/ß2‐glycoprotein I complex boosts CCL2 and TNF‐α expression in decidual macrophages via TLR4‐NF‐κB. CCL2 accumulates on endothelial surfaces via ACKR1, recruiting monocyte‐derived CCR2+ macrophages, driving inflammation,
Rui Gao   +13 more
wiley   +1 more source

Spatiotemporal Characterization of the Functional MRI Latency Structure with Respect to Neural Signaling and Brain Hierarchy

open access: yesAdvanced Science, EarlyView.
Resting‐state fMRI captures intrinsic brain activity, yet the physical significance of latency structures remains unclear. In this study, the spatiotemporal properties of fMRI‐derived latency structures are examined by linking them to biophysical model‐based neural functions, intrinsic neural timescales, and functional gradients.
Hyoungshin Choi   +5 more
wiley   +1 more source

Computer communications [PDF]

open access: yesACM SIGCOMM Computer Communication Review, 1976
W. Chou, P. McGregor
openaire   +2 more sources

SURF: A Self‐Supervised Deep Learning Method for Reference‐Free Deconvolution in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
SURF is a robust reference‐free deconvolution tool that integrates high‐dimensional spatial transcriptomics gene expression analysis with self‐supervised deep learning, enabling effective modeling of non‐linear gene interactions and spot relationships.
Shuyu Liang   +9 more
wiley   +1 more source

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