Results 61 to 70 of about 5,864,540 (301)

Epigenetic reprogramming of lineage switching in cancer

open access: yesFEBS Letters, EarlyView.
Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı   +4 more
wiley   +1 more source

Tail-Risk Spillovers in Strategic Commodity and Carbon Markets: Evidence for Natural Resource Risk Management

open access: yesResources
Commodity and carbon markets are central to natural resource allocation, energy security, and the effectiveness of carbon-pricing policies, yet their risk linkages can intensify sharply during crises.
Nader Naifar
doaj   +1 more source

Partial depletion of plasminogen activator inhibitor‐1 decreases subcutaneous fat cell hypertrophy and liver cholesterol in high‐fat‐fed female mice

open access: yesFEBS Letters, EarlyView.
Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante   +10 more
wiley   +1 more source

Characteristics of biter and victim piglets apparent before a tail biting outbreak [PDF]

open access: yes, 2011
Little is known about the characteristics of biters and victims before the appearance of a tail-biting outbreak in groups of pigs. This study aimed to characterise biters and victims (according to gender and performance) and to quantify their behavioural
Kemp, B.   +5 more
core   +1 more source

A Hybrid EGARCH–Informer Model with Consistent Risk Calibration for Volatility and CVaR Forecasting

open access: yesMathematics
This study proposes a hybrid EGARCH-Informer framework for forecasting volatility and calibrating tail risk in financial time series. The econometric layer (EGARCH) captures asymmetric and persistent volatility dynamics, while the attention layer ...
Ming Che Lee
doaj   +1 more source

Translophagy—A potential link between autophagy impairment and translational errors

open access: yesFEBS Letters, EarlyView.
Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk   +11 more
wiley   +1 more source

Regime- and Tail-Dependent Performance of CVaR-Based Portfolio Strategies in Cryptocurrencies

open access: yesInternational Journal of Financial Studies
Cryptocurrency markets are characterized by extreme volatility, fat-tailed return distributions, and frequent regime shifts, challenging traditional mean–variance portfolio optimization. In such environments, downside risk management becomes central, and
Tsolmon Sodnomdavaa
doaj   +1 more source

Transcriptional profiling of circulating extracellular vesicles from prebiopsy prostate cancer patients

open access: yesMolecular 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

Tail Behaviour of the Euro [PDF]

open access: yes, 2004
This paper empirically analyses risk in the Euro relative to other currencies. Comparisons are made between a sub period encompassing the final transitional stage to full monetary union with a sub period prior to this.
Cotter, John
core   +2 more sources

Learning Rare Events: Deep Learning Approaches to Extreme Price Prediction

open access: yesForecasting
Price spikes are rare but economically significant events observed across electricity, financial, commodity, and cryptocurrency markets. Their abrupt magnitude, heavy-tailed distributions, and severe class imbalance make them difficult to forecast using ...
Mark Sinclair   +2 more
doaj   +1 more source

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