Results 61 to 70 of about 239,500 (278)
Frontiers in Energy Research, 2021 Future energy supply systems must become more flexible than they are today to accommodate the significant contributions expected from intermittent renewable power sources.
Karl-Kiên Cao +3 more
doaj +1 more source
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
Sensors, 2023 In this paper, we propose a novel affine iterative closest point algorithm based on color information and correntropy, which can effectively deal with the registration problems with a large number of noise and outliers and small deformations in RGB-D ...
Lexian Liang, Hailong Pei
doaj +1 more source
Implementation of Model Based Networked Predictive Control System [PDF]
, 2007 Networked control systems are made up of several computer nodes communicating over a communication channel, cooperating to control a plant. The stability of the plant depends on the end to end delay from sensor to the actuator.
Onat, Ahmet, Parlakay, Emrah Mehmet
core
Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?
FEBS 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
Self-attention-based graph transformation learning for anomaly detection in multivariate time series
Complex & Intelligent SystemsMultivariate 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
Sensor Drift Detection Based on Discrete Wavelet Transform and Grey Models
IEEE Access, 2020 Drift detection has been a difficult problem in the field of sensor fault diagnosis. In this article, a sensor drift detection method using discrete wavelet transform (DWT) and a grey model GM(1,1) is proposed. DWT is used to separate the noise part from
Xiaojia Han +5 more
doaj +1 more source
The role and implications of mammalian cellular circadian entrainment
FEBS Letters, EarlyView.At their most fundamental level, mammalian circadian rhythms occur inside every individual cell. To tell the correct time, cells must align (or ‘entrain’) their circadian rhythm to the external environment. In this review, we highlight how cells entrain to the major circadian cues of light, feeding and temperature, and the implications this has for our
Priya Crosby
wiley +1 more source
Semantic Mapping with Low-Density Point-Clouds for Service Robots in Indoor Environments
Applied Sciences, 2020 The advancements in the robotic field have made it possible for service robots to increasingly become part of everyday indoor scenarios. Their ability to operate and reach defined goals depends on the perception and understanding of their surrounding ...
Carlos Medina Sánchez +3 more
doaj +1 more source
A Robot Human-Like Learning Framework Applied to Unknown Environment Interaction
Complexity, 2022 Learning from demonstration (LfD) is one of the promising approaches for fast robot programming. Most learning systems learn both movements and stiffness profiles from human demonstrations.
Xianfa Xue, Lei Zuo, Ning Wang
doaj +1 more source