Potential Impact of Updated Bayesian Deduction in Medicine: Application to Colonoscopy Prioritization. [PDF]
Collet P, Quezada-Diaz F, Taramasco C.
europepmc +1 more source
In this study, the orange‐muscle giant abalone (Haliotis gigantea) is used as a model to identify a non‐coding SNP that disrupts the interaction between ITGA8 pre‐mRNA and the splicing factor ILF2, leading to altered ITGA8 splicing. These splicing changes promote carotenoid accumulation in abalone muscle through the regulation of tissue remodeling ...
Xiaohui Wei +17 more
wiley +1 more source
Using structural equation modelling to reassess bias in judging the vault event in men's artistic gymnastics. [PDF]
Fung SF, Han YS, Mickevics A.
europepmc +1 more source
The Corporate Interest Deduction: A Policy Evaluation [PDF]
Warren, Alvin C., Jr.
core +2 more sources
Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang +14 more
wiley +1 more source
Effects of a Proactive Driving Transition Class on Extending Safe Driving and Preparing for Life After Driving Cessation Among Older Drivers. [PDF]
Sasaki T +5 more
europepmc +1 more source
Lifshitz Transition in Correlated Topological Semimetals
Theoretical calculations reveal that in YPtBi and GdPtBi, strong electronic correlations shift topological Dirac nodes away from the Fermi level by forming large hole pockets. This effect is sensitive to temperature and arises from interactions among 4d or 4f electrons, offering insights into Fermi surface engineering in quantum materials.
Byungkyun Kang +4 more
wiley +1 more source
The logic of medical reasoning: toward an integrated inductive, deductive, and abductive approach to clinical practices. [PDF]
Pietarinen AV, Stanley DE.
europepmc +1 more source
Combining Induction, Deduction, and Structure for Verification and Synthesis
S. Seshia
semanticscholar +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source

