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Decelerating climate change requires a shift away from conventional production practices across industries, including agriculture, to meet the United Nations Sustainable Development Goals (SDGs). Agricultural sustainabil...

Objective: To develop an artificial intelligence (AI) driven plan tradeoff decision making assistant for radiation oncologists. Methods: A user interface (UI) was developed to integrate the assistant with the treatment p...

The integration of renewable energy sources into modern power systems is a global priority aimed at reducing carbon emissions, decreasing fossil fuel dependency, and advancing sustainable development goals. In this conte...

Traditional static security assessments difficult to capture the dynamic strategic interactions and behavioral decision-making inherent in extreme nuclear security risks. To address this, we propose a tripartite evolutio...

Water-scarce smallholder regions require irrigation strategies that are both biophysically credible and socially legitimate. We propose an integrated hydro-economic decision-support framework for the Cesar Department (Co...

Objectives: This study aimed to develop an automated deep learning (DL) system to detect and classify second molar (M2) pathologies associated with impacted third molars (ITMs) on panoramic radiographs. We sought to enha...

Climate-smart agricultural (CSA) technologies are vital for enhancing the climate resilience of high-value, climate-sensitive crops like vanilla in Sub-Saharan Africa. While institutional support through agricultural ext...

Introduction: The integration of artificial intelligence (AI) in clinical decision-making has the potential to enhance patient understanding and confidence in treatment choices. This study evaluates the impact of an AI-b...

Methane emissions and chemical pollutants often co-occur in natural and engineered environments, contributing to ecosystem degradation. Microorganisms play key roles in regulating these processes through methane oxidatio...