Results 81 to 90 of about 3,281,484 (268)

Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level

open access: yesAging and Cancer, EarlyView.
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley   +1 more source

Machine learning applied to circuit modeling: Remaining Useful Lifetime estimation

open access: yes, 2022
openNegli ultimi anni, il machine learning ha subito sviluppi significativi, tanto da essere sempre più utilizzato in un'ampia varietà di discipline.
MAROGNA, DENISE
core  

Neurologic Manifestations of Long COVID Affect Adult Females More Severely Than Males

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterize differences in neurologic manifestations of postacute sequelae of SARS‐CoV‐2 infection (Neuro‐PASC) between females and males. Methods Cross‐sectional study of the first consecutive 261 posthospitalization Neuro‐PASC (PNP) and 2068 nonhospitalized Neuro‐PASC (NNP) patients evaluated at the Neuro‐COVID clinic between ...
Hannah Kopinsky   +5 more
wiley   +1 more source

ATP changes the fluorescence lifetime of cyan fluorescent protein via an interaction with His148 [PDF]

open access: yes, 2010
Contains fulltext : 87235.pdf (Publisher’s version ) (Open Access)Recently, we described that ATP induces changes in YFP/CFP fluorescence intensities of Fluorescence Resonance Energy Transfer (FRET) sensors based on CFP-YFP.
Marieke Willemse   +28 more
core   +3 more sources

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

Integrated dynamic predictive maintenance planning with advanced deterioration and remaining useful lifetime estimation models

open access: yes, 2015
International audienceThe trends of last decades in factories towards closer linked processes and more complex machines lead to far reaching consequences for the entire value adding chain, in case of machine break downs.
Christien, Jean   +13 more
core   +2 more sources

ATTENTION AND LONG SHORT-TERM MEMORY NETWORK FOR REMAINING USEFUL LIFETIME PREDICTIONS OF TURBOFAN ENGINE DEGRADATION

open access: yesInternational Journal of Prognostics and Health Management, 2019
Machine Prognostics and Health Management (PHM) is often concerned with the prediction of the Remaining Useful Lifetime (RUL) of assets. Accurate real-time RUL predictions enable equipment health assessment and maintenance planning.
Paulo Roberto de Oliveira da Costa   +3 more
doaj   +1 more source

Development of Transformer-based Model for Prediction of PEMFC Remaining Useful Life [PDF]

open access: yes한국정밀공학회지
A Transformer model to predict the remaining useful life of a fuel cell, which has demonstrated superior performance in analyzing time series data. The dataset was created from long-term performance evaluation experiments conducted in rated power mode ...
Da Hye Geum   +5 more
doaj   +1 more source

White Matter and Perivascular Imaging Changes in Alzheimer's Disease and Cerebral Amyloid Angiopathy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peak‐width of skeletonized mean diffusivity (PSMD) and diffusion tensor imaging–analysis along the perivascular space (DTI‐ALPS), reflecting white matter integrity and glymphatic function, are altered in Alzheimer's disease (AD).
Debina Laishram   +3 more
wiley   +1 more source

A Bayesian least-squares support vector machine method for predicting the remaining useful life of a microwave component

open access: yesAdvances in Mechanical Engineering, 2017
Rapid and accurate lifetime prediction of critical components in a system is important to maintaining the system’s reliable operation. To this end, many lifetime prediction methods have been developed to handle various failure-related data collected in ...
Fuqiang Sun   +3 more
doaj   +1 more source

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