Results 51 to 60 of about 136,842 (319)

A Comparative Study of Cerebral Oxygenation During Exercise in Hemodialysis and Peritoneal Dialysis Patients

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Cognitive impairment and exercise intolerance are common in dialysis patients. Cerebral perfusion and oxygenation play a major role in both cognitive function and exercise execution; HD session per se aggravates cerebral ischemia in this population. This study aimed to compare cerebral oxygenation and perfusion at rest and in mild
Marieta P. Theodorakopoulou   +10 more
wiley   +1 more source

Reciprocal control of viral infection and phosphoinositide dynamics

open access: yesFEBS Letters, EarlyView.
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley   +1 more source

Tool Wear Prediction Based on a Multi-Scale Convolutional Neural Network with Attention Fusion

open access: yesInformation, 2022
Compared with traditional machine learning algorithms, the convolutional neural network (CNN) has an excellent automatic feature learning ability and can complete the nonlinear representation from original data input to output by itself. However, the CNN
Qingqing Huang   +4 more
doaj   +1 more source

An intracellular transporter mitigates the CO2‐induced decline in iron content in Arabidopsis shoots

open access: yesFEBS 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

Self-attention-based graph transformation learning for anomaly detection in multivariate time series

open access: yesComplex & Intelligent Systems
Multivariate time series anomaly detection has widely applications in many fields such as finance, power, and industry. Recently, Graph Neural Network (GNN) have achieved great success in this task due to their powerful ability of modeling multivariate ...
Qiushi Wang   +4 more
doaj   +1 more source

Communication-Computation Co-Optimized Federated Learning for Efficient Large-Model Embedding Training

open access: yesMathematics
With the rapid development of the Industrial Internet of Things (IIoT) and intelligent manufacturing, massive amounts of heterogeneous and non-independent, identically distributed (non-IID) data are continuously generated in industrial environments ...
Yingying Luo   +4 more
doaj   +1 more source

Sparsity-control ternary weight networks

open access: yesNeural Networks, 2022
version 1 of SCA; accepted by journal "Neural Networks"; the final version could be a little different from this ...
Xiang Deng, Zhongfei Zhang
openaire   +4 more sources

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

open access: yesFEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes   +3 more
wiley   +1 more source

A Global Clock Skew Estimation Scheme for Hierarchical Wireless Sensor Networks

open access: yesIEEE Access, 2017
Time synchronization is extremely important for wireless sensor networks (WSNs). For largescale WSNs, hierarchical clock synchronization, which can effectively save energy by reducing communication overhead, has become an attractive approach in practical
Heng Wang, Lun Shao, Min Li, Baoguo Wang
doaj   +1 more source

Access Controlled Temporal Networks

open access: yesProceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017
We define Access-Controlled Temporal Networks (ACTNs) as an extension of Conditional Simple Temporal Networks with Uncertainty (CSTNUs). CSTNUs are able to handle features such as contingent durations and conditional constraints, and have thus been used to model the temporal constraints of workflows underlying business processes.
COMBI, Carlo   +3 more
openaire   +5 more sources

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