Results 31 to 40 of about 181,638 (266)

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

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, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

A multi-step regularity assessment and joint prediction system for ordering time series based on entropy and deep learning

Autonomous Intelligent Systems
Customer maintenance is of vital importance to the enterprise management. Valuable assessment and efficient prediction for customer ordering behavior can offer better decision-making and reduce business costs significantly.
Yichen Zhou, Wenhe Han, Heng Zhou
doaj   +1 more source

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source

A deep learning-based approach for electrical equipment remaining useful life prediction

Autonomous Intelligent Systems, 2022
Electrical equipment maintenance is of vital importance to management companies. Efficient maintenance can significantly reduce business costs and avoid safety accidents caused by catastrophic equipment failures.
Huibin Fu, Ying Liu
doaj   +1 more source

The planar cell polarity protein Vangl2 interacts with the PDZ‐domains of Scribble but not with a unique PDZ‐like domain in Inturned

FEBS Letters, EarlyView.
Structural and biochemical characterisations show that the planar cell polarity (PCP) protein Inturned harbours a unique PDZ‐like domain that does not bind canonical PDZ‐binding motifs (PBMs) like that of another PCP protein Vangl2. In contrast, the apical‐basal polarity protein Scribble contains four PDZ domains that bind Vangl2, but one PDZ domain ...
Stephan Wilmes, Jan Brysch, Carmen Gelze, Lilli Meier, Daniel Kümmel   +4 more
wiley   +1 more source

Mass estimation method for intelligent vehicles based on fusion of machine learning and vehicle dynamic model

Autonomous Intelligent Systems, 2022
Vehicle mass is an important parameter for motion control of intelligent vehicles, but is hard to directly measure using normal sensors. Therefore, accurate estimation of vehicle mass becomes crucial. In this paper, a vehicle mass estimation method based
Zhuoping Yu, Xinchen Hou, Bo Leng, Yuyao Huang   +3 more
doaj   +1 more source

Privacy and Autonomous Systems [PDF]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
We discuss the problem of privacy in autonomous systems, introducing different conceptualizations and perspectives on privacy to assess the threats that autonomous systems may pose to privacy. After this, we outline socio-technical and legal measures that should be put in place to mitigate these threats.
openaire   +2 more sources

Structural insights into an engineered feruloyl esterase with improved MHET degrading properties

FEBS Letters, EarlyView.
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa, Konstantinos Makryniotis, Theofani‐Iosifina Sousani, Evangelos Topakas, Vangelis Daskalakis, Maria Dimarogona   +5 more
wiley   +1 more source

Enhanced bearing RUL prediction based on dynamic temporal attention and mixed MLP

Autonomous Intelligent Systems
Bearings are critical components in machinery, and accurately predicting their remaining useful life (RUL) is essential for effective predictive maintenance. Traditional RUL prediction methods often rely on manual feature extraction and expert knowledge,
Zhongtian Jin, Chong Chen, Aris Syntetos, Ying Liu   +3 more
doaj   +1 more source

An ontological modelling of multi-attribute criticality analysis to guide Prognostics and Health Management program development

Autonomous Intelligent Systems, 2022
Digital technologies are becoming more pervasive and industrial companies are exploiting them to enhance the potentialities related to Prognostics and Health Management (PHM). Indeed, PHM allows to evaluate the health state of the physical assets as well
Adalberto Polenghi, Irene Roda, Marco Macchi, Alessandro Pozzetti   +3 more
doaj   +1 more source