Results 181 to 190 of about 184,754 (242)

FGFR Like1 drives esophageal cancer progression via EMT, PI3K/Akt, and notch signalling: insights from clinical data and next‐generation sequencing analysis

FEBS Open Bio, EarlyView.
Clinical analysis reveals significant dysregulation of FGFRL1 in esophageal cancer (EC) patients. RNAi‐coupled next‐generation sequencing (NGS) and in vitro study reveal FGFRL1‐mediated EC progression via EMT, PI3K/Akt, and Notch pathways. Functional assays confirm its role in tumor growth, migration, and invasion.
Aprajita Srivastava, Anoop Saraya, Deepak Gunjan, Rinu Sharma   +3 more
wiley   +1 more source

Predictive Maintenance System to RUL Prediction of Li-Ion Batteries and Identify the Fault Type of Brushless DC Electric Motor from UAVs. [PDF]

Sensors (Basel)
Andrioaia DA.
europepmc   +1 more source

Evaluation of in vitro toxicity of common phytochemicals included in weight loss supplements using 1H NMR spectroscopy

FEBS Open Bio, EarlyView.
We investigated the toxicity of 12 active compounds commonly found in herbal weight loss supplements (WLS) using human liver and colon cell models. Epigallocatechin‐3‐gallate was the only compound showing significant toxicity. Metabolic profiling revealed protein degradation, disrupted energy and lipid metabolism suggesting that the inclusion of EGCG ...
Emily C. Davies, Garth L. Maker, Ian F. Musgrave, Samantha Lodge   +3 more
wiley   +1 more source

SCANIA Component X dataset: a real-world multivariate time series dataset for predictive maintenance. [PDF]

Sci Data
Kharazian Z, Lindgren T, Magnússon S, Steinert O, Andersson Reyna O.   +4 more
europepmc   +1 more source

KLK7 overexpression promotes an aggressive phenotype and facilitates peritoneal dissemination in colorectal cancer cells

FEBS Open Bio, EarlyView.
KLK7, a tissue kallikrein‐related peptidase, is elevated in advanced colorectal cancer and associated with shorter survival. High KLK7 levels in ascites correlate with peritoneal metastasis. In mice, KLK7 overexpression increases metastasis. In vitro, KLK7 enhances cancer cell proliferation, migration, adhesion, and spheroid formation, driving ...
Yosr Z. Haffani, Tobias Dreyer, Meriem Naim, Rea Lo Dico, Natalia A. Ignatenko, Viktor Magdolen, Dalila Darmoul   +6 more
wiley   +1 more source

Decentralized Distributed Sequential Neural Networks Inference on Low-Power Microcontrollers in Wireless Sensor Networks: A Predictive Maintenance Case Study. [PDF]

Sensors (Basel)
Bolat Y, Murray I, Ren Y, Ferdosian N.
europepmc   +1 more source

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

FEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point, Wafaa Achache, Janïs Laudouze, Eliana Sepulveda Ramos, Mickaël Maziero, Céline Crauste, Stéphane Canaan, Pierre Santucci   +7 more
wiley   +1 more source

A two-step machine learning approach for predictive maintenance and anomaly detection in environmental sensor systems. [PDF]

MethodsX
Potharaju S, Tirandasu RK, Tambe SN, Jadhav DB, Kumar DA, Amiripalli SS.   +5 more
europepmc   +1 more source

dUTPase is essential in zebrafish development and possesses several single‐nucleotide variants with pronounced structural and functional consequences

FEBS Open Bio, EarlyView.
dUTPases are involved in balancing the appropriate nucleotide pools. We showed that dUTPase is essential for normal development in zebrafish. The different zebrafish genomes contain several single‐nucleotide variations (SNPs) of the dut gene. One of the dUTPase variants displayed drastically lower protein stability and catalytic efficiency as compared ...
Viktória Perey‐Simon, Angéla Békesi, Latifa Kazzazy, Jázmin Mihály, Máté Varga, Beáta G. Vértessy, Kinga Nyíri   +6 more
wiley   +1 more source

RUL forecasting for wind turbine predictive maintenance based on deep learning. [PDF]

Heliyon
Shah SS, Daoliang T, Kumar SC.
europepmc   +1 more source