Results 81 to 90 of about 2,008,811 (296)

The C‐terminal truncated splicing variant of NK1R negatively modulates substance P‐stimulated NK1R signaling

FEBS Open Bio, EarlyView.
The neurokinin 1 receptor exists as full‐length (NK1L) and C‐terminally truncated (NK1S) splice variants. We show that NK1S heterodimerizes with NK1L, impairing Gαq coupling and Ca2+ mobilization while enhancing β‐arrestin1 recruitment. NK1S suppresses substance P‐driven gene expression and cell migration, revealing NK1S as an endogenous biased ...
Lan Phuong Nguyen, Duc Trung Nguyen, Minyoung Cho, Jihun Kim, Soyeon In, Thai Uy Nguyen, Sunghoon Hurh, Beom Jin Park, Jong‐Ik Hwang   +8 more
wiley   +1 more source

Hybrid load prediction model of 5G base station based on time series decomposition and GRU network with parameter optimization

IET Generation, Transmission & Distribution
To ensure the safe and stable operation of 5G base stations, it is essential to accurately predict their power load. However, current short‐term prediction methods are rarely applied rationally in pertinent circumstances to the features of base station ...
Guoxiang Hua, Yan Sun, Weiwei Li
doaj   +1 more source

Automatic Generation of News Comments Based on Gated Attention Neural Networks

IEEE Access, 2018
With the development of recurrent neural networks (RNN), various natural language generation (NLG) tasks have boomed in the past few years, such as response generation in conversation and poetry generation.
Hai-Tao Zheng, Wei Wang, Wang Chen, Arun Kumar Sangaiah   +3 more
doaj   +1 more source

Water quality prediction method based on preferred classification

IET Cyber-Physical Systems, 2020
Water quality monitoring and prediction are important parts of Cyber Physical Systems. Considering the complexity, diversity, and strong non-linearity of water quality data, a single water quality prediction model is difficult to have a significant ...
Liming Sheng, Jian Zhou, Xin Li, Yifan Pan, Linfeng Liu   +4 more
doaj   +1 more source

Recurrent Neural Networks and Super-Turing Interactive Computation

, 2015
We present a complete overview of the computational power of recurrent neural networks involved in an interactive bio-inspired computational paradigm.
Jérémie Cabessa, Villa, A.E.P., Alessandro E. P. Villa, Cabessa, J.   +3 more
core   +1 more source

Dactolisib outperforms Rapamycin in potentiating apoptosis induced by XPO1, Bcl‐2 and Mcl‐1 blockade in preclinical glioblastoma models

FEBS Open Bio, EarlyView.
The PAM pathway and its impact on cellular metabolism. Color‐coded key symbols represent Rapamycin (R, orange, targeting mTOR) and Dactolisib (D, green, targeting PI3K/mTOR), indicating their sites of action. Created with BioRenders.com. Glioblastoma resists therapy through interconnected survival programs.
Kai Zhao, Leonie Meyer, Madita Braun, Katharina Otte, Celine Bitter, Maite Pawlik, Hartmann Raifer, Frederik Helmprobst, Axel Pagenstecher, Hans Urban, Michael C. Burger, Michael W. Ronellenfitsch, Joachim P. Steinbach, Jarmila Jedelská, Shamim Bagheri, Behrooz H. Yousefi, Pietro Di Fazio, Markus Luster, Andreas H. Mahnken, Andreas Neubauer, Andreas Burchert, Christopher Nimsky, Jörg W. Bartsch, Tillmann Rusch   +23 more
wiley   +1 more source

Homeostatic plasticity improves signal propagation in continuous time recurrent neural networks

, 2005
Continuous-time recurrent neural networks (CTRNNs) are potentially an excellent substrate for the generation of adaptive behaviour in artificial autonomous agents. However, node saturation effects in these networks can leave them insensitive to input and
Williams, Hywel, Noble, Jason
core   +1 more source

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi, Katharine Lee, Kerry C. Nix, Miguel Menchaca, Xiwei Shé, Lorelei Santa Maria, Wei Wu, Zihuai He, Fiona M. Baumer   +8 more
wiley   +1 more source

Stochastic neural networks

Revista Colombiana de Estadística, 1991
Artificial neural networks are brain-like models of parallel computations and cognitive phenomena. We sample some basic results about neural networks as they relate to stochastic and statistical processes.
Garzón Max, Torres Luz Gloria
doaj  

RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu, Xin Duan, Fatemeh Peymani, Jia Wang, Chengjia Bao, Chaolong Xu, Ying Zou, Zixuan Zhang, Yunxi Zhang, Tongyue Li, Martin Pavlov, Junling Wang, Minhan Song, Tianyu Song, Xiaodi Han, Mingxi Sun, Danmin Shen, Ruoyu Duan, Huafang Jiang, Manting Xu, Holger Prokisch, Fang Fang   +21 more
wiley   +1 more source