Background: The prevalence of suicidal behavior in children and adolescents is a critical public health issue, with rates in the coffee region exceeding the national average. This study analyzed respo...
Federated learning (FL) has emerged as a paradigm-shifting approach to distributed machine learning, enabling multiple participants to collaboratively train models without exposing raw data. However, ...
Background: Kuwait operates a state-funded universal healthcare system serving a population that is 70% expatriate, yet existing health financing data aggregate out-of-pocket (OOP) expenditure across ...
With the rapid development of aerospace technology, further research on the detonation dynamics characteristics of fuels for detonation engines is required. Additionally, in response to frequent accid...
Biological radical-pair systems operate at decoherence rates γeff = 3.25–4.55, far exceeding the entanglement-breaking threshold γc ≈ 0.3 (channel-model-dependent). Standard quantum error correction p...
Cardiac MRI images are vital in diagnosing a range of heart diseases, yet standard solutions frequently struggle with inadequate region delineation, confusion among similar pathologies, and opaque dec...
This paper proposes an intelligent control method based on the Camel Marching Optimization Algorithm (CJOA) for the adaptive adjustment of control parameters of grid structured photovoltaic inverters ...
Stratospheric aerosol injection (SAI) is proposed as a near-term intervention to offset warming, yet its regional impacts remain uncertain. We assess the response of the West African Monsoon (WAM) to ...
Can large language model (LLM) agents serve as proxies for human investors in behavioral finance experiments? I deploy 96 GPT-4-family agents in a staggered difference-in-differences design, exposing ...
Understanding how magnetic fields alter phase transitions is a practical obstacle in magnetocaloric refrigeration, where optimizing the magnetocaloric effect requires precise knowledge of how a magnet...
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