Time-to-event analysis is a common occurrence in political science.In recent years, there has been an increased usage of machine learning methods in quantitative political science research.This article advocates for the implementation of machine learning duration models to assist in a sound model selection process.We provide a brief tutorial introd

Fire suppression and climate change have increased the frequency and severity of wildfires, but the responses of many organisms to wildfire are still largely unknown.In this study, we assessed the risk of habitat loss for amphibians, mammals, and reptiles caused by wildfires in central Mexico.We accomplished this by: Shoes (1) determining the likel

Abstract Therapeutic effect of phytochemicals has been emphasized in the traditional medicine owing to the presence of bioactive molecules, such as polyphenols.Luteolin is a flavone belonging to the flavonoid class of polyphenolic phytochemicals with healing effect on hypertension, SUNFLOWER LECITHIN inflammatory disorders, and cancer due to its ac

This study aims to investigate the impact of financial stress and uncertainty on the returns of green and conventional bonds and stocks in the United States from 2010 to 2022.The research utilizes nonlinear and nonparametric analysis, which includes the quantile-on-quantile and nonparametric causality-in-quantiles approaches to examine the SUNFLOWE

Background: Ciliary body size may be objectively assessed by ultrasound scanning and near-infrared transpalpebral transillumination.Purpose: To investigate the dimensions of ciliary body structures in various axial eye lengths in patients with rhegmatogenous retinal detachment (RRD).Materials and Methods: This study included 35 RRD patients (35 eye