Results 131 to 140 of about 730,904 (355)
Machine‐learning‐directed phytochemical pair ACT/FA, administered at BDD's orthodox ratio, synergistically modulates microglial polarization via dual Nrf2/RORγt targeting to attenuate neuroinflammation and depressive behaviors. This concentration‐dependent synergism replicates the parent formula's efficacy while providing a mechanistic basis for ...
Dongjing Guo+7 more
wiley +1 more source
Politics, Bureaucracies, and Financial Markets: Bank Entry into Commercial Paper Underwriting in the United States and Japan [PDF]
David G. Litt+3 more
openalex +1 more source
PCSK9 acts as a molecular chaperone promoting LIN28A lysosomal degradation. LIN28A elevates transcription factor HES5, increasing JMY expression. PCSK9 loss causes neural tube defects (NTDs) by disrupting the LIN28A/HES5/JMY axis, and high JMY disorganizes the neural progenitor cell microfilament network, leading to incomplete neural tube structure in ...
Xiaoshuai Li+6 more
wiley +1 more source
The X-Efficiency of Commercial Banks in Hong Kong [PDF]
Simon H. Kwan
openalex +2 more sources
Ownership structure and financial performance: Evidence from Kenyan commercial banks. [PDF]
Kirimi PN, Kariuki SN, Ocharo KN.
europepmc +1 more source
Native thioredoxin‐1 (TRX) stimulates proliferation and rescues stem cells and cancer cells from multiple stressors by suppressing p53 and inhibiting ferroptosis via GPX4/SLC7A11 upregulation mediated by enhanced KLF4 expression and p53 promoter binding.
Jian Wu+18 more
wiley +1 more source
Determinants of Commercial Bank Interest Margins and Profitability: Some International Evidence [PDF]
Aslι Demirgüç-Kunt, Harry Huizinga
openalex +1 more source
Depositor preference legislation and failed banks' resolution costs [PDF]
An examination of the empirical impact of depositor preference legislation (DPL) on resolution type and resolution costs for commercial banks. It focuses on the impact of state DPL statutes, using FDIC and call-report data on resolution costs and types ...
James B. Thomson, William P. Osterberg
core
Adaptive Machine Learning for Electronic Nose‐Based Forensic VOC Classification
A 32‐element electronic nose enhanced with machine learning demonstrates exceptional accuracy in differentiating between living and deceased individuals (98.1%), discriminating human and animal specimens (97.2%), and estimating postmortem intervals.
Ivan Shtepliuk+3 more
wiley +1 more source