Specifying, assessing, and selecting among candidate statistical models is fundamental to
ecological research. Commonly used approaches to model selection are based on …

The popularity of machine learning (ML), deep learning (DL) and artificial intelligence (AI)
has risen sharply in recent years. Despite this spike in popularity, the inner workings of ML …

Abstract Research Summary We apply a resource‐based view to investigate how the
adoption of Artificial Intelligence (AI) affects competitive capabilities and performance …

INTRODUCTION Governments across the world have implemented a wide range of
nonpharmaceutical interventions (NPIs) to mitigate the spread of severe acute respiratory …

The digital economy is becoming increasingly important in the field of carbon governance.
However, there is little literature examining the relationship between the digital economy …

Context dependence is widely invoked to explain disparate results in ecology. It arises when
the magnitude or sign of a relationship varies due to the conditions under which it is …

The use of correlative ecological niche models has highly increased in the last decade.
Despite all literature and textbooks in this field, few practical guidelines exist on the correct …

Aims and objectives To evaluate compassion fatigue (CF), burnout (BO), compassion
satisfaction (CS) and perceived stress in healthcare professionals during the coronavirus …

Landslides are one of the catastrophic natural hazards that occur in mountainous areas,
leading to loss of life, damage to properties, and economic disruption. Landslide …

A significant increase in reactive nitrogen (N) added to terrestrial ecosystems through
agricultural fertilization or atmospheric deposition is considered to be one of the most …