This study examines elderly consumers’ perceptions of the design of AI insurance chatbot services in a phygital context. Drawing on the extended reality technology (ERT) framework and the stimulus–organism–response (SOR) model, it explores the cognitive–affective dynamics shaping chatbot adoption in&#...

Background: Using the Gompertz–Makeham model, we describe associations between age and the probability of mortality in men with adult-onset testosterone deficiency (TD), stratified by testosterone undecanoate (TU) treatment and type 2 diabetes (T2DM). Methods: We analyzed a registry of 737 men&#x...

Mechanical drawing audits are essential to product design and manufacturing but remain labor-intensive and error-prone, particularly when checking tolerances, surface roughness, materials, treatments and assembly requirements. Although computer vision, document understanding, large language models (LLMs), knowledge ...

Deep learning models deployed in industry often rely on large-scale labeled data, where label noise is unavoidable due to imperfect sensing, human annotation errors, and complex operating environments. Such noisy labels can severely degrade model reliability and limit industrial applicability. To...

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Previous evidence has established genetics as an important contributing factor to severe (class III) obesity, which is a chronic, relapsing condition, with a high burden of comorbidity and mortality. We therefore designed a custom genotyping array to screen a cohort of UK patients ...

Background/Objectives: Bariatric (or metabolic) surgery is the most effective treatment for severe obesity, resulting in sustained weight loss and rapid improvement in metabolic outcomes. However, it is currently unknown what molecular changes are induced by the surgery, how they rela...

Macroprudential policies have become crucial tools for maintaining financial stability, but their effect on banks’ noninterest income has not yet been examined. This is a paradox in light of results in the literature linking noninterest income to bank performance indicators such as risk...

To address the need for thermally informed tire modeling for handling-oriented force prediction under limited thermal sensing, this paper presents a differentiable physics-embedded sequential framework for thermally informed Neural-UniTire modeling and identification. First, a differentiable radial thermal mode...