Results 151 to 160 of about 537,316 (289)
Molecular Oncology, EarlyView.RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner +14 more
wiley +1 more source
Density Forecasting: A Survey [PDF]
A density forecast of the realization of a random variable at some future time is an estimate of the probability distribution of the possible future values of that variable.
Anthony Tay, Kenneth F. Wallis
core
Targeting TNBC: core–shell polycationic polyurea dendrimers with inherent anticancer activity
FEBS Open Bio, EarlyView.Core–shell polycationic PURE dendrimers were tested in TNBC‐derived tumor models. Both formulations selectively targeted TNBC and effectively reduced tumor volume. PUREG4‐OEI48 suppressed tumor growth without detectable toxicity, whereas PUREG4‐OCEI24, despite showing efficacy, induced hepatic toxicity.
Adriana Cruz +9 more
wiley +1 more source
A Comparison of Methods for Forecasting Demand for Slow Moving Car Parts [PDF]
This paper has a focus on non-stationary time series formed from small non-negative integer values which may contain many zeros and may be over-dispersed.
Adrian Beaumont, Ralph D. Snyder
core
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 +3 more
wiley +1 more source
Modelling and forecasting volatility of East Asian Newly Industrialized Countries and Japan stock markets with non-linear models [PDF]
This paper explores the forecasting performances of several non-linear models, namely GARCH, EGARCH, APARCH used with three distributions, namely the Gaussian normal, the Student-t and Generalized Error Distribution (GED).
Guidi, Francesco
core +1 more source
FEBS Open Bio, EarlyView.A tri‐culture of iPSC‐derived neurons, astrocytes, and microglia treated with ferroptosis inducers as an Induced ferroptosis model was characterized by scRNA‐seq, cell survival, and cytokine release assays. This analysis revealed diverse microglial transcriptomic changes, indicating that the system captures key aspects of the complex cellular ...
Hongmei Lisa Li +6 more
wiley +1 more source
Forecasting Value-at-Risk Using Nonlinear Regression Quantiles and the Intra-day Range [PDF]
Value-at-Risk (VaR) is commonly used for financial risk measurement. It has recently become even more important, especially during the 2008-09 global financial crisis.
Bruce B. K. Hwang +3 more
core
ROLE AND METHODS OF TECHNOLOGICAL FORECASTING IN ECONOMICS MODERNIZATION
Модернизация, инновация, развитие, 2016 Technological forecasting is a process of prediction future technological characteristics, their distribution in time and the rate at whichtechnological parameters, attributes and capabilities change.
N. N. Zelenov
doaj
FEBS Open Bio, EarlyView.ZFAS1 is a lncRNA promoting cell proliferation and migration, exhibiting high expression in various cancers. It is conserved, widely expressed, and produces multiple splice variants with unclear roles. We identified several splice variants in hepatocyte models, and found that inhibiting or suppressing regulators of the unfolded protein response (PERK ...
Sébastien Soubeyrand +2 more
wiley +1 more source