Results 81 to 90 of about 239,815 (291)
Fault Classification in Predictive Maintenance
, 2023 Abstract In the field of predictive maintenance, “smart condition monitoring” extends beyond merely assessing the present state of manufacturing equipment. In today's landscape, businesses and research endeavors strive for deeper insights into equipment conditions, seeking to uncover potential causes behind issues or anticipate the remaining ...
Guenter Roehrich, Davide Raffaele
openaire +1 more source
Peroxidasin enables melanoma immune escape by inhibiting natural killer cell cytotoxicity
Molecular Oncology, EarlyView.Peroxidasin (PXDN) is secreted by melanoma cells and binds the NK cell receptor NKG2D, thereby suppressing NK cell activation and cytotoxicity. PXDN depletion restores NKG2D signaling and enables effective NK cell–mediated melanoma killing. These findings identify PXDN as a previously unrecognized immune evasion factor and a potential target to improve
Hsu‐Min Sung +17 more
wiley +1 more source
A study of fault prediction and reliability assessment in the SEL environment [PDF]
An empirical study on estimation and prediction of faults, prediction of fault detection and correction effort, and reliability assessment in the Software Engineering Laboratory environment (SEL) is presented.
Basili, Victor R., Patnaik, Debabrata
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Using a high fidelity CCGT simulator for building prognostic systems [PDF]
, 2013 Pressure to reduce maintenance costs in power utilities has resulted in growing interest in prognostic monitoring systems. Accurate prediction of the occurrence of faults and failures would result not only in improved system maintenance schedules but ...
Catterson, Victoria +3 more
core
Molecular Oncology, EarlyView.Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley +5 more
wiley +1 more source
DefectNET: multi-class fault detection on highly-imbalanced datasets
, 2019 As a data-driven method, the performance of deep convolutional neural networks (CNN) relies heavily on training data. The prediction results of traditional networks give a bias toward larger classes, which tend to be the background in the semantic ...
Anantrasirichai, N., Bull, David
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Molecular Oncology, EarlyView.Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova +25 more
wiley +1 more source
Diance yu yibiaoThere are many potential fault risks in distribution automation system. If the fault is not diagnosed in time, the power supply quality will be affected.
WU Longteng, HE Jianjun, GUO Qian
doaj +1 more source
Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma
Molecular Oncology, EarlyView.Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra +6 more
wiley +1 more source
Research of fault diagnosis and prediction for diesel engine based on probabilistic neural network
Gong-kuang zidonghua, 2013 In view of problem of difficult fault diagnosis and prediction for diesel engine, the paper analyzed common faults and influencing factors of diesel engine, introduced method of extraction, analysis and processing of the failure data, and built a model ...
ZHENG Xiao-qian, HU Shi-qiang, WU Jian
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