Results 141 to 150 of about 169,559 (249)

Extending the design of a blocks-based python environment to support complex types

2017 IEEE Blocks and Beyond Workshop (B&B), 2017
Matthew Poole
semanticscholar   +1 more source

Inductive‐Associative Meta‐learning Pipeline with Human Cognitive Patterns for Unseen Drug‐Target Interaction Prediction

Advanced Science, EarlyView.
Predicting unseen drug‐target interactions is challenging. BioBridge presents an Inductive‐Associative pipeline inspired by scientists' workflow. It combines transferable binding principles, learned via multi‐level encoders and adversarial training, with insights from weakly related references through meta‐learning.
Xiaoqing Lian, Tianxu Lv, Jie Zhu, Shiyun Nie, Hang Fan, Guosheng Wu, Yunjun Ge, Hong Xu, Xiaoting Wang, Lihua Li, Xiangxiang Zeng, Xiang Pan   +11 more
wiley   +1 more source

PyNoetic: A modular python framework for no-code development of EEG brain-computer interfaces. [PDF]

PLoS One
Singh G, Chharia A, Upadhyay R, Kumar V, Longo L.   +4 more
europepmc   +1 more source

Macrophage Zc3h12c Limits Tissue Inflammation and Injury via Alternative Splicing of Pre‐mRNA

Advanced Science, EarlyView.
This work defines the context‐dependent function of Zc3h12c in macrophages using the Tnfrsf11a‐Cre system. It reveals Zc3h12c's dual mechanism—regulating RNA degradation and alternative splicing—with STAT1 as a key target. The findings elucidate a novel post‐transcriptional pathway and identify STAT1 isoforms as potential therapeutic targets for kidney
Chenyu Li, Julian Aurelio Marschner, Yoshihiro Kusunoki, Ningxin Zhang, Xiaoxin Li, Hao Deng, Zhibo Zhao, Kanako Watanabe‐Kusunoki, Zhihui Zhu, Yan Xu, Stefanie Steiger, Maciej Lech, Katalin Susztak, Christian Schulz, Hans‐Joachim Anders   +14 more
wiley   +1 more source

Heron, a Knowledge Graph editor for intuitive implementation of Python-based experimental pipelines. [PDF]

Elife
Dimitriadis G, Svahn E, MacAskill AF, Akrami A.   +3 more
europepmc   +1 more source

Dynamic Neural Deactivation Bridges Direct and Competitive Inhibition Processes

Advanced Science, EarlyView.
Dynamic neural deactivation bridges traditionally distinct inhibitory mechanisms—direct inhibition and competition‐induced inhibition—revealing a common neural signature across modalities. Multimodal neuroimaging and behavioral experiments demonstrate a temporal dynamic characterized by progressive frontoparietal activation decay and enhanced sensory ...
Zhenhong He, Yifan Du, Ziqi Fu, Youcun Zheng, Nils Muhlert, Barbara Sahakian, Rebecca Elliott   +6 more
wiley   +1 more source

Data‐Driven Printability Modeling of Hydrogels for Precise Direct Ink Writing Based on Rheological Properties

Advanced Science, EarlyView.
A predictive model for 3D printability is developed by integrating rheological analysis, including the Large Amplitude Oscillatory Shear (LAOS) test, with machine learning. With prediction errors under 10%, the model shows that post‐extrusion recovery controls horizontal printability, while high‐strain‐rate nozzle flow dictates vertical printability ...
Eun Hui Jeong, Jiho Choi, Han Bi Park, Ji Woo Lee, Seo Yeon Bae, Byoung Soo Kim, ChangKyu Yoon, Jun Dong Park   +7 more
wiley   +1 more source

LLM-IE: a python package for biomedical generative information extraction with large language models. [PDF]

JAMIA Open
Hsu E, Roberts K.
europepmc   +1 more source

The Potential of Cognitive‐Inspired Neural Network Modeling Framework for Computer Vision

Advanced Science, EarlyView.
In article number 202507730, Guorun Li, Lei Liu, Yuefeng Du, and co‐workers present a cognitive modeling framework (CMF) to bridge the ‘representation gap’ and ‘conceptual gap’ between cognitive theory and vision deep neural networks (VDNNs). The research findings provide new insights and solid theoretical support for VDNN modeling inspired by ...
Guorun Li, Lei Liu, Xiaoyu Li, Yuefeng Du, Zhenghe Song, Xiuheng Wu   +5 more
wiley   +1 more source

NMR Reaction Monitoring Robust to Spectral Distortions. [PDF]

Anal Chem
Domżał B, Grochowska-Tatarczak M, Malinowski P, Miasojedow B, Kazimierczuk K, Gambin A.   +5 more
europepmc   +1 more source