As mental health disorders continue to rise globally and access to specialised care remains a persistent challenge, AI-powered conversational agents have emerged as a credible avenue for early screeni...
Regulatory fatigue the experience of accumulating exhaustion during sustained goal pursuit is a pervasive phenomenon that remains insufficiently explained by existing resource based and value-based mo...
Hallucination in large language model-generated summaries poses a critical safety challenge for knowledge-intensive domains such as Chinese history and culture. Existing faithfulness detection methods...
Health Friend, an edge-based embedded system for ongoing cardiac monitoring and early identification of potentially lethal arrhythmias, is designed and developed in this study. To precisely record and...
The demand for lightweight energy-absorbing structures has rapidly increased. Auxetic structures, such as re-entrant honeycombs, exhibit negative Poisson’s ratio behavior and high impact stability; ho...
Global semiconductor shortages beginning in 2020, combined with geopolitical supply disruptions extending through 2025, imposed material constraints on hyperscale cloud infrastructure expansion that c...
Predictive simulation of sintering-induced distortion remains challenging for ceramic components subjected to gravity and mechanical constraint. Classical constitutive sintering laws reproduce free de...
Deep learning has achieved remarkable success across various fields, however, most research in this area has primarily focused on increasing network depth, leading to a relative lack of systematic exp...
In recent years, the application of Large Language Models (LLMs) in the legal field has gradually increased. As they evolved, their function has transitioned from simple legal knowledge extraction to ...
Background: Viral pneumonia (VP) is a common complication in patients with hematologic malignancies (HM). This study aimed to construct and validate an interpretable prognostic prediction model for VP...
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