Results 171 to 180 of about 335,860 (317)

Problems of sales force turnover and possible solutions

Tržište, 2012
Fluctuation poses an extremely important problem in the field of sales management and, therefore, it is necessary to research continually its impact on the company as a whole.
Tihana Poljak, Marija Tomašević Lišanin   +1 more
doaj  

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

The Elastic Fluctuation Tensor: Quantifying Stochastic Fluctuations of the Apparent Stiffness of Non-representative Microstructure Volume Elements. [PDF]

J Elast
Krause M, Schneider M.
europepmc   +1 more source

The classical fluctuation model for inelastic collisional interactions - I : Theory

, 1985
Using an analogy with Statistical Thermodynamics and the Einstein equation for fluctuation probabilities a “fluctuation” model for the inelastic collisional interaction governing molecular energy transfers is introduced.
MASTROCINQUE, GIUSEPPE
core  

Dimethyl fumarate combined with cisplatin at subcytotoxic doses sensitizes cervical cancer toward ferroptosis and apoptosis through GSH restriction and p53 (re)activation

Molecular Oncology, EarlyView.
Dimethyl fumarate (DMF) reduces growth of HPV‐positive cervical cancer spheroids and induces ferroptosis in cervical cancer cells via blocking SLC7A11/Glutathione (GSH) axis. Combination of subcytotoxic doses of DMF and cisplatin (CDDP) further suppresses spheroid growth and drives cell death in 2D culture models.
Carolina Punziano, Giuseppina Minopoli, Simona Romano, Laura Marrone, Katia Aquilano, Maria Lina Tornesello, Raffaella Faraonio   +6 more
wiley   +1 more source

High glucose fluctuation levels modulate monocyte cytokine expression via oxidative stress mechanism. [PDF]

Sci Rep
Sun S, Sun Z, Huang Q, Sun J.
europepmc   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gábor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

Multimodal deep learning for anomaly detection in urban infrastructure networks: improving the resilience of public management systems. [PDF]

Sci Rep
Wang L, Wang Y, Wang D, Chen L.
europepmc   +1 more source

COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells

Molecular Oncology, EarlyView.
This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos, Gilar Gorji‐bahri, Lejla Gradjan, Julia Zajac, Kacper Gil, Yvonne Thokozile Nduku, Anna M. Blom   +6 more
wiley   +1 more source

Wavelet-Decoupled Spatiotemporal Network for Stock Return Prediction. [PDF]

Entropy (Basel)
Liao L, Wang C, Wang J, Liao Y, Lai Y.
europepmc   +1 more source