Results 131 to 140 of about 69,629 (213)
[Translated article] On Using the Bayes Factor in Dermatology Research
C. Ramos-Vera
doaj +1 more source
A nano‐confined radical anion acts as a photothermal immunogenic amplifier. Kinetically stabilized nanoparticles couple high near‐infrared‐II (NIR‐II) photothermal efficacy with glutathione (GSH) depletion to boost reactive oxygen species (ROS) and immunogenic cell death (ICD).
Mengxin Mu +9 more
wiley +1 more source
From <i>p</i>-values to Bayes Factor: A Meta-Analytic Comparison in Colorectal Research. [PDF]
Kazi M.
europepmc +1 more source
A supramolecular chirality evolution strategy in chiral low‐bandgap fused‐ring conjugated molecules enables high‐performance near‐infrared (NIR) circularly polarized light photodetection. Halogen substitution and thermal annealing induce chiral amplification and hierarchical ordering. Integrated into Schottky barrier vertical transistors, the optimized
Jaeyong Ahn +6 more
wiley +1 more source
An Objective and Robust Bayes Factor for the Hypothesis Test One Sample and Two Population Means. [PDF]
Almodóvar-Rivera IA +1 more
europepmc +1 more source
Lipoic acid synthase (lias) can regulate α‐KG levels through lipoylation, thereby negatively regulating HIF‐1α protein levels via PHD under hypoixa. The Hap2 allele of lias exhibits lower expression levels than Hap1, leading to the accumulation of more HIF‐1α protein and thereby enhancing hypoxia tolerance. ABSTRACT Hypoxia stress seriously affects the
Jie Ding +7 more
wiley +1 more source
Trypsinogen‐loaded nanoparticles reprogram TAMs via NF‐κB/NLRP3, driving M2→M1 conversion and potent phagocytosis to unleash antitumor immunity. ABSTRACT Although reprogramming tumor‐associated macrophages (TAMs) represents a promising therapeutic strategy, approaches that are both precise and safe remain scarce.
Lei Cao +7 more
wiley +1 more source
A tutorial on Bayes Factor Design Analysis using an informed prior. [PDF]
Stefan AM +3 more
europepmc +1 more source
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
Enhancing experimental design through Bayes factor design analysis: insights from multi-armed bandit tasks. [PDF]
Schreiber S +3 more
europepmc +1 more source

