Results 81 to 90 of about 336,417 (303)
Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma
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
This paper is motivated by the growing penetration of renewable power plants in electrical systems worldwide and the scarcity of studies evaluating fault detection, classification, and localization tasks when applied within wind farms, i.e., their ...
Moises J. B. B. Davi +2 more
doaj +1 more source
Fault Diagnosis Method Based on Principal Component Analysis and Broad Learning System
Traditional feature extraction methods are used to extract the features of signal to construct the fault feature matrix, which exists the complex structure, higher correlation, and redundancy.
Huimin Zhao +3 more
doaj +1 more source
Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau +36 more
wiley +1 more source
The fault inspection and diagnosis of vehicle transmission plays a important role of safety traffic and knocking the traffic accidents down.For the fault character of vehicle continuously variable transmission(CVT),the fault signal character extract ...
蒋强, 柳洪义, 郝建军, 唐毅锋
doaj
Targeted therapy was evaluated in SHH medulloblastoma using neuroepithelial stem cell (NES) and tumor‐derived NES‐like (tNES) models in 2D monolayers and 3D spheroids. PI3K, AKT, and CDK4/6 inhibitors had minimal effects in NES but markedly reduced viability and growth and induced apoptosis in tNES cells, revealing distinct therapeutic vulnerabilities.
Monika Lukoseviciute +4 more
wiley +1 more source
Fault Diagnosis of Reciprocating Compressors Using Revelance Vector Machines with A Genetic Algorithm Based on Vibration Data [PDF]
This paper focuses on the development of an advanced fault classifier for monitoring reciprocating compressors (RC) based on vibration signals. Many feature parameters can be used for fault diagnosis, here the classifier is developed based on a relevance
Ahmed, M. +3 more
core
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
Two-Stage Fault Classification Algorithm for Real Fault Data in Transmission Lines
Fault classification in power transmission lines is important in distance relaying for identifying the accurate phases implicated in the fault occurrence.
Se-Heon Lim +4 more
doaj +1 more source
Motor current signal analysis using a modified bispectrum for machine fault diagnosis [PDF]
This paper presents the use of the induction motor current to identify and quantify common faults within a two-stage reciprocating compressor. The theoretical basis is studied to understand current signal characteristics when the motor undertakes a ...
Ball, A +4 more
core

