Widespread population declines in terrestrial Plethodon salamanders occurred by the 1980s throughout the Appalachian Mountains, the center of global salamander diversity, with no evident recovery.We tested the hypothesis that the historic introduction and spread of the pathogenic fungus Batrachochytrium read more dendrobatidis (Bd) into the eastern

It has been shown that learned temporal information can be exploited to help facilitate the target identification in the attentional blink task.Here, we tested whether similar exploitation also worked on short-term temporal information, even when it did not reliably predict the target onset.In two experiments, we randomly manipulated either the int

The Generalized Likelihood Uncertainty Estimation (GLUE) is here incorporated into a deterministic landslide model (SHALSTAB) to generate 4000 landslide susceptibility maps which enclose various combinations of full range parameters.Furthermore, an improved index is adopted into GLUE as a criterion to measure lycogel model performance, and through

Abstract Background Machine learning (ML) has emerged as the predominant computational paradigm for analyzing large-scale datasets across diverse domains.The assessment of dataset quality stands as a pivotal precursor to the successful deployment of ML models.In this study, we introduce DREAMER (Data REAdiness for MachinE learning Research), an alg

The research study voyage commences with the foundational objective of fitting a suitable Generalized Autoregressive Conditional Heteroscedastic (GARCH) model to assess market volatility, a fundamental pillar of financial analysis.This research embarks on an ambitious quest to predict and understand stock market volatility within the realms of the