Crime scene investigations require rapid decision-making under complex conditions, often without the opportunity for revision. Task-relevant information from similar cases can support Scene of Crime Officers (SoCOs) in making these decisions. Decision support can reduce human error and subjectivity, …

Efficient hydrogen (H2) storage remains a major challenge for clean energy applications. This study presents an AI-driven methodology to optimize H2 storage in porous carbon adsorbents. A comprehensive dataset of 917 literature-derived entries was used to develop two machine learning models: Random Forest …

Computed tomography (CT) at the third lumbar vertebra (L3) is widely used for muscle quantification, but manual segmentation is labor intensive. This study externally validates an AI model, trained on a public dataset, for automated L3 muscle segmentation using an independent cohort, including a subgroup …

Methane, the primary component of natural gas, emits less carbon dioxide than other petroleum-based fuels but faces challenges in efficient storage and transportation. Advanced adsorption materials provide a safe and cost-effective solution, with metal–organic frameworks (MOFs) emerging as promising …

By addressing the sub-research questions, the main research question and data mining goal were answered. Drought tolerance can be quantified using yield loss between control and drought treatments and robustly assessed by ranking varieties within each year. Varieties that consistently rank high or low …

Forecasting the thermal behavior of flexible heating assets is essential for real-time energy management in heating systems. While thermal dynamics are complex, the optimization algorithms within energy management systems (EMS) require low-order models with minimal computational load to make rapid, real-time …

This paper presents a conceptual model for creating digital educational games that aim to reduce mathematics anxiety (MA) and promote positive emotional engagement in mathematics education. No empirical data were collected or analyzed; the proposed model is based on a synthesis of theory and empirical …

Human-centered AI must confront tensions between mutually incompatible fairness definitions and fairness requirements of algorithmic decision-making (ADM) systems. To investigate how people perceive this trade-off and how this perception can guide engineering requirements, we determine the underlying …

Artificial Intelligence (AI) is transforming workflows across various industries, including life sciences. When deployed securely, generative AI tools can automate structured programming tasks. In clinical research, a significant challenge is converting raw trial data into the formats required for regulatory …

Objectives The Weight Stigma Exposure Inventory (WeSEI) is a newly developed tool that assesses observed weight stigma across different sources (i.e., interpersonal and non-interpersonal sources). Although the WeSEI is considered a useful instrument for assessing observed weight stigma, it has not been …