This research presents a HashCode-based security abstraction that implements privacy-by-design in customer churn statistics, safeguarding identity while maintaining analytical integrity. A set of machine learning and deep learning models, including L... read more
Whole-body bone scintigraphy is pivotal for skeletal evaluation in oncological monitoring, yet the unstructured nature of clinical reports impedes efficient data management and multicenter integration. This study aims to validate whether a clinical-l... read more
Diabetic retinopathy (DR) is a leading cause of preventable blindness, motivating the development of reliable automated screening systems. This work proposes a Robust Deep Ensemble for Diabetic Retinopathy detection (RDE-DR) by analyzing ensemble fus... read more
Illicit transaction detection is a key task in blockchain anti-money laundering, yet it remains challenging due to temporal graph evolution, severe class imbalance, and the difficulty of preserving informative transaction attributes during representa... read more
Accurate lithological mapping in semi-arid and geologically complex regions is crucial for advancing geoscientific understanding and guiding mineral exploration, yet it remains a technically challenging task. Here, we introduce the Inception-LSTM Hyp... read more
BACKGROUND: The triglyceride-glucose (TyG) index and triglyceride-glucose-body mass index (TyG-BMI) are emerging surrogate markers of insulin resistance and metabolic risk. However, their comparative prognostic value in critically ill older adults wi... read more
BACKGROUND: Individuals with prediabetes face an increased risk of cardiovascular (CV) complications, which can ultimately lead to premature mortality. However, existing risk stratification tools are not targeted for people with prediabetes. We aimed... read more
The catalytic performance of single-atom catalysts (SACs) is predominantly governed by their local atomic environment. However, directly resolving the transient configurations of individual atoms remains challenges for inherent thermal fluctuations a... read more
International journal of occupational safety and ergonomics : JOSE
May 17, 2026
The objective of this study was to assess ChatGPT's responses to common office ergonomics and spine health questions. ChatGPT was asked the 50 most frequent questions about 'office ergonomics and spine health' and evaluated by 10 experts on a scale o... read more
OBJECTIVE: Individual responses to recombinant human growth hormone (rhGH) therapy vary widely among children with idiopathic growth hormone deficiency (iGHD) and idiopathic short stature (ISS), making accurate prediction of treatment outcomes clinic... read more
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