Results 61 to 70 of about 3,212,345 (310)
FEBS Letters, EarlyView.Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction [PDF]
Italian National Conference on Sensors, 2017 This paper proposes a convolutional neural network (CNN)-based method that learns traffic as images and predicts large-scale, network-wide traffic speed with a high accuracy. Spatiotemporal traffic dynamics are converted to images describing the time and
Xiaolei Ma +5 more
semanticscholar +1 more source
Transfers, 2013 In a nineteenth century context, traffic could mean both communication and the transportation of goods and people. For instance, the German term “traffic” (Verkehr), referred to “communicating” (verkehren) and to “traffic”/“transportation” (Verkehr).
Dorit Müller, Heike Weber
openaire +2 more sources
An intracellular transporter mitigates the CO2‐induced decline in iron content in Arabidopsis shoots
FEBS Letters, EarlyView.This study identifies a gene encoding a transmembrane protein, MIC, which contributes to the reduction of shoot Fe content observed in plants under elevated CO2. MIC is a putative Fe transporter localized to the Golgi and endosomal compartments. Its post‐translational regulation in roots may represent a potential target for improving plant nutrition ...
Timothy Mozzanino +7 more
wiley +1 more source
Short-Term Passenger Flow Prediction of Urban Rail Transit Based on SDS-SSA-LSTM
Journal of Advanced Transportation, 2022 Predicting rail transit passenger flow is crucial for modifying the metro schedule. To increase prediction accuracy, a model is proposed that combines long short-term memory (LSTM) with single spectrum analysis (SSA).
Haijun Li +5 more
doaj +1 more source
Research on automatic pilot repetition generation method based on deep reinforcement learning
Frontiers in Neurorobotics, 2023 Using computers to replace pilot seats in air traffic control (ATC) simulators is an effective way to improve controller training efficiency and reduce training costs.
Weijun Pan +4 more
doaj +1 more source
A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation
Data Science and Engineering, 2021 Intelligent transportation (e.g., intelligent traffic light) makes our travel more convenient and efficient. With the development of mobile Internet and position technologies, it is reasonable to collect spatio-temporal data and then leverage these data ...
Haitao Yuan, Guoliang Li
semanticscholar +1 more source
Analyzing Network Traffic for Malicious Hacker Activity [PDF]
, 2004 Since the Internet came into life in the 1970s, it has been growing more than 100% every year. On the other hand, the solutions to detecting network intrusion are far outpaced.
Pyke, Randall
core
By dawn or dusk—how circadian timing rewrites bacterial infection outcomes
FEBS Letters, EarlyView.The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo +2 more
wiley +1 more source
Line Planning under the Operation Mode of Line Sharing between Metro and Suburban Railway
Journal of Advanced Transportation, 2023 Due to high transport efficiency, reduced transfer time, and various other advantages, the joint operation of different rail transit systems emerges as the optimal choice for rail transit systems.
Li Lin +5 more
doaj +1 more source