Results 101 to 110 of about 6,955,768 (244)
Deep-deep neural network language models.
, 2018 Deep-deep neural network language models.
Sylvester Olubolu Orimaye (5942264) +2 more
core +1 more source
FEBS Open Bio, EarlyView.Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia +9 more
wiley +1 more source
Type I interferons modulate autophagy to shape gemcitabine response in pancreatic cancer cells
FEBS Open Bio, EarlyView.Type I interferons differentially modulate autophagy and the response of pancreatic cancer cells to gemcitabine. IFNα2b stimulates autophagic flux and protects cells from gemcitabine‐induced cell death, contributing to chemoresistance. In contrast, IFNβ1a inhibits autophagosome formation and enhances gemcitabine‐induced cell death, resulting in ...
Lucy E. Bonilla +10 more
wiley +1 more source
Developing Belief Network Authorship
This repository provides documentation of individual contributions to the group authorship entity (i.e., consortium author) "Developing Belief Network.
Ayse Payir +10 more
core +1 more source
Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level
Aging and Cancer, EarlyView.This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley +1 more source
Deep belief network-based link quality prediction for wireless sensor network
Tongxin xuebao, 2017 After analyzing the existing link quality prediction models,a link quality prediction model for wireless sensor network was proposed,which was based on deep belief network.Support vector classification was employed to estimate link quality,so as to get ...
Lin-lan LIU +3 more
doaj +2 more sources
A Bayesian Belief Network to Infer Incentive Mechanisms to Reduce Antibiotic Use in Livestock Production [PDF]
Efficient policy intervention to reduce antibiotic use in livestock production requires knowledge about the rationale underlying antibiotic usage. Animal health status and management quality are considered the two most important factors that influence ...
Bergevoet, Ron H.M. +4 more
core
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
A Vehicle Detection Algorithm Based on Deep Belief Network
The Scientific World Journal, 2014 Vision based vehicle detection is a critical technology that plays an important role in not only vehicle active safety but also road video surveillance application.
Hai Wang, Yingfeng Cai, Long Chen
doaj +1 more source
Short-Term Load Interval Prediction Using a Deep Belief Network
Energies, 2018 In load predication, point-based forecasting methods have been widely applied. However, uncertainties arising in load predication bring significant challenges for such methods.
Xiaoyu Zhang +4 more
doaj +1 more source