Robust optimal reinsurance and ESG investment under rating-innovation ambiguity and ESG rating uncertainty. [PDF]
Fu J, Zhu G, Zhou G.
europepmc +1 more source
The RNA methyltransferase FTSJ3 drives lung squamous cell carcinoma progression by catalyzing 2′‐O‐methylation of HSPA5 mRNA, which stabilizes BOP1 through SUMOylation and activates DRP1/SREBP1‐mediated mitochondrial fission and fatty acid oxidation. Targeting this axis with liposomal siRNA potently suppresses tumor growth and metastasis ABSTRACT Lung ...
Qin Hu +4 more
wiley +1 more source
Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures [PDF]
It is well known that the Basel II Accord requires banks and other Authorized Deposit-taking Institutions (ADIs) to communicate their daily risk forecasts to the appropriate monetary authorities at the beginning of each trading day, using one or more ...
Michael McAleer +4 more
core
Defining the preadmission factors that modify risk of acute complications, survival and long-term recovery from COVID-19: prospective, longitudinal, multisite, cohort study based in England. [PDF]
Baxendale HE +19 more
europepmc +1 more source
Biomineralization underpins skeletal development, yet its molecular control remains incompletely understood. Using a novel murine knockout model, this study reveals the essential and complementary roles of PHOSPHO1 and TNAP in postnatal skeletal development.
Lucie E. Bourne +15 more
wiley +1 more source
Immune checkpoint inhibition (ICI) reshapes the hippocampal neuroimmune niche. Spatial transcriptomic profiling and human brain histological analyses identify neuroinflammation and altered neuronal and glial programs. Notably, T cell depletion prevents ICI‐driven microglial activation, establishing the T cell–microglia crosstalk axis as a driving ...
Devyani Swami +7 more
wiley +1 more source
Conditional Value-at-Risk and Average Value-at-Risk: Estimation and Asymptotics
We discuss linear regression approaches to conditional Value-at-Risk and Average Value-at-Risk (Conditional Value-at-Risk, Expected Shortfall) risk measures.
Chun, So Yeon +2 more
core
From prediction to advising: a multi model approach using NBME subject examinations to inform step 2 CK performance. [PDF]
Boateng B +5 more
europepmc +1 more source
KFO‐Atlas reveals how real‐world aromas are organized as structured mixtures rather than individual molecules. Building on these principles, KFO‐Gen, a generative AI framework, designs perceptually valid aroma formulations and reconstructs meat‐like aromas exclusively from plant‐derived odorants, providing a foundation for mixture‐level studies and AI ...
Jingzhi Zhang +5 more
wiley +1 more source
Forecasting Conditional VaR of the Crude Oil Market Using GARCH-Type Models with Time-Varying High-Order Moments. [PDF]
Zhao S, Yang D, Zhang X.
europepmc +1 more source

