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Donations triggered by inequality tolerance affect the evolution of cooperation in spatial public goods game.
Chaos
January 2025
School of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming 650221, China.
Generosity through donation plays a crucial role in reducing inequality and influencing human behavior. However, previous research on donation has overlooked individuals' acceptance of the extent of inequality, which acts as a trigger for donation. To address this gap, this paper systematically explores the impact of donation based on inequality tolerance on the evolution of cooperation in spatial public goods game.
View Article and Find Full Text PDFSmall molecule modulators of B56-PP2A restore 4E-BP function to suppress eIF4E-dependent translation in cancer cells.
J Clin Invest
January 2025
Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, United States of America.
Dysregulated eIF4E-dependent translation is a central driver of tumorigenesis and therapy resistance. eIF4E binding proteins (4E-BP1/2/3) are major negative regulators of eIF4E-dependent translation that are inactivated in tumors through inhibitory phosphorylation or downregulation. Previous studies have linked PP2A phosphatase(s) to activation of 4E-BP1.
View Article and Find Full Text PDFGeneralized functional varying-index coefficient model for dynamic synergistic gene-environment interactions with binary longitudinal traits.
PLoS One
January 2025
Department of Statistics and Probability, Michigan State University, East Lansing, MI, United States of America.
The genetic basis of complex traits involves the function of many genes with small effects as well as complex gene-gene and gene-environment interactions. As one of the major players in complex diseases, the role of gene-environment interactions has been increasingly recognized. Motivated by epidemiology studies to evaluate the joint effect of environmental mixtures, we developed a functional varying-index coefficient model (FVICM) to assess the combined effect of environmental mixtures and their interactions with genes, under a longitudinal design with quantitative traits.
View Article and Find Full Text PDFInsight into Charge Transport Behaviors in Hematite Photoanodes via Potential-Dependent Impedance Spectroscopy and Machine Learning.
ACS Appl Mater Interfaces
January 2025
Department of Applied Chemistry, Chuo University, Tokyo 112-8551, Japan.
We employed machine learning (ML) techniques combined with potential-dependent photoelectrochemical impedance spectroscopy (pot-PEIS) to gain deeper insights into the charge transport mechanisms of hematite (α-FeO) photoanodes. By the Shapley Additive exPlanations (SHAP) analysis from the ML model constructed from a small data set (dozens of samples) of electrical parameters obtained from pot-PEIS and the PEC performance, we identified the dominant factors influencing the electron transport to the back contact in the bulk and hole transfer to a solution at the hematite/electrolyte interface. The results revealed that shallow defect states significantly enhance electron transport, while deep defect states impede it, and also one of the surface states enhances the hole transfer to the electrolyte solution.
View Article and Find Full Text PDFUse of AI methods to assessment of lower limb peak torque in deaf and hearing football players group.
Acta Bioeng Biomech
September 2024
Faculty of Computer Science, Kazimierz Wielki University, Bydgoszcz, Poland.
Monitoring and assessing the level of lower limb motor skills using the Biodex System plays an important role in the training of football players and in post-traumatic rehabilitation. The aim of this study was to build and test an artificial intelligence-based model to assess the peak torque of the lower limb extensors and flexors. The model was based on real-world results in three groups: hearing ( = 19) and deaf football players ( = 28) and non-training deaf pupils ( = 46).
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