Results 51 to 60 of about 211,137 (291)
Systemic dysregulation of apolipoproteins in amyotrophic lateral sclerosis serum
FEBS Open Bio, EarlyView.Amyotrophic lateral sclerosis (ALS) is a fatal disease that damages motor neurons. This study found that people with ALS show significant changes in blood fats and the proteins that carry them. Several apolipoproteins were higher, lipid balances were altered, and normal protein–lipid relationships were disrupted.
Finula I. Isik +6 more
wiley +1 more source
Short-term passenger flow forecast for urban rail transit based on multi-source data
EURASIP Journal on Wireless Communications and Networking, 2021 Short-term passenger flow prediction in urban rail transit plays an important role because it in-forms decision-making on operation scheduling. However, passenger flow prediction is affected by many factors.
Wei Li +3 more
doaj +1 more source
Multiobjective Tactical Planning under Uncertainty for Air Traffic Flow and Capacity Management [PDF]
, 2013 We investigate a method to deal with congestion of sectors and delays in the tactical phase of air traffic flow and capacity management. It relies on temporal objectives given for every point of the flight plans and shared among the controllers in order ...
Marceau, Gaétan +2 more
core +2 more sources
YIPFα1A expression is regulated by multilayered molecular mechanisms
FEBS Open Bio, EarlyView.YIPFα1A, a five‐pass Golgi protein, is regulated at multiple layers. (1) Rare‐codon enrichment drives translation‐coupled mRNA decay. (2) A proximal 3′‐UTR element stabilizes mRNA. (3) A distal 3′‐UTR element included by alternate poly(A) site usage represses translation, which can be overridden by the proximal 3′‐UTR element.
Tokio Takaji +2 more
wiley +1 more source
A Multiscale and High-Precision LSTM-GASVR Short-Term Traffic Flow Prediction Model
Complexity, 2020 Short-term traffic flow has the characteristics of complex, changeable, strong timeliness, and so on. So the traditional prediction algorithm is difficult to meet its high real-time and accuracy requirements.
Jingmei Zhou +3 more
doaj +1 more source
Improving the predictability of take-off times with Machine Learning : a case study for the Maastricht upper area control centre area of responsibility [PDF]
, 2018 The uncertainty of the take-off time is a major contribution to the loss of trajectory predictability. At present, the Estimated Take-Off Time (ETOT) for each individual flight is extracted from the Enhanced Traffic Flow Management System (ETFMS ...
Ballerini, Franck +4 more
core
Cooperative Traffic Signal Control with Traffic Flow Prediction in Multi-Intersection [PDF]
Sensors, 2019 As traffic congestion in cities becomes serious, intelligent traffic signal control has been actively studied. Deep Q-Network (DQN), a representative deep reinforcement learning algorithm, is applied to various domains from fully-observable game environment to traffic signal control.
Daeho Kim, Okran Jeong
openaire +3 more sources
FEBS Open Bio, EarlyView.The dual roles of CC and CXC chemokines in distinguishing active, latent, and subclinical tuberculosis were reviewed, along with an evaluation of their potential as diagnostic biomarkers and therapeutic targets to advance precision medicine in tuberculosis management. The graphical abstract was generated with AI assistance (Gemini 3.0).
Xuying Yin, Dangsheng Xiao, Jiezuan Yang
wiley +1 more source
IEEE Access, 2020 Accurate and efficient lane-level traffic flow prediction is a challenging issue in the framework of the connected automated vehicle highway system.
Wenqi Lu +4 more
doaj +1 more source
Multitask Learning for Network Traffic Classification
, 2020 Traffic classification has various applications in today's Internet, from resource allocation, billing and QoS purposes in ISPs to firewall and malware detection in clients.
Liu, Xin, Rezaei, Shahbaz
core +1 more source