Results 51 to 60 of about 24,365,275 (295)
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
Yield prediction is crucial for ensuring national food security and informing trade policies. Most deep learning (DL) models employ normalization techniques to preprocess input data, with the goal of improving training stability and accelerating ...
Li Liu +10 more
doaj +1 more source
An Analysis of Energy Consumption in Railway Signal Boxes
This study assessed hourly electricity consumption profiles in railway signal boxes located in Poland. The analyses carried out consisted of assessing the correlation among the hourly demand profile, weather indicators, and calendar indicators, e.g ...
Marian Kampik +4 more
doaj +1 more source
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
SYNTHETIC DATA GENERATION FOR ANN MODELING OF THE HYDRODYNAMIC PROCESSES OF IN-SITU LEACHING
The work presents an approach to enhance the forecasting capabilities of In-Situ Leaching processes during both the production stage and early prognosis.
Daniar Aizhulov +4 more
doaj +1 more source
A Multistage Hybrid Deep Learning Model for Enhanced Solar Tracking
Solar tracking helps maximize the efficiency of solar applications, such as photovoltaic (PV) solar panels. In the recent past, machine learning (ML) techniques have been extensively used to implement automatic solar tracking.
Mwenge Mulenga +3 more
doaj +1 more source
CytoNorm: A Normalization Algorithm for Cytometry Data [PDF]
AbstractHigh‐dimensional flow cytometry has matured to a level that enables deep phenotyping of cellular systems at a clinical scale. The resulting high‐content data sets allow characterizing the human immune system at unprecedented single cell resolution. However, the results are highly dependent on sample preparation and measurements might drift over
Sofie Van Gassen +4 more
openaire +3 more sources
An isoform of 14‐3‐3 protein regulates transbilayer lipid movement at the plasma membrane
Loss of 14‐3‐3ζ in CHO cells confers resistance to exogenous phosphatidylserine (PS) and impairs endocytosis‐independent inward flip‐flop of fluorescent PS at the plasma membrane. RNAi‐mediated knockdown reproduces this defect, while no additive effect is seen in ATP11C‐deficient cells.
Akiko Yamaji‐Hasegawa +3 more
wiley +1 more source
MARAN: normalizing micro-array data [PDF]
Abstract Summary: MARAN is a web-based application for normalizing microarray data. MARAN comprises a generic ANOVA model, an option for Loess fitting prior to ANOVA analysis, and a module for selecting genes with significantly changing expression. Availability: http://www.esat.kuleuven.ac.be/maran/ Contact:
Kristof Engelen +3 more
openaire +2 more sources
Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai +4 more
wiley +1 more source

