Due to the increasing demand for consumable water, groundwater management is critical, especially in arid and semi-arid regions. Effective management strategies are crucial for maintaining a sustainable water supply and promoting environmental health... read more
Heavy metal (HM) contamination in arid inland river basins is intensifying with economic development, posing ongoing ecological and public health risks. Conventional monitoring is constrained by landscape heterogeneity and limited field data, hinderi... read more
Reservoirs are fundamental to global water security, and their monitoring increasingly relies on satellite remote sensing. However, the absence of a unified, large-scale in-situ dataset has hindered robust validation and inter-comparison of remote se... read more
Recent advancements in deep neural networks (DNNs), particularly large-scale language models, have demonstrated remarkable capabilities in image and natural language understanding. Although scaling up model parameters with increasing volume of traini... read more
Cardiovascular and interventional radiology
Apr 1, 2026
PURPOSE: This study evaluates Large Language Models (LLMs) integrated with Retrieval-Augmented Generation (RAG) frameworks for generating accurate, guideline-concordant anticoagulation (AC) recommendations in Interventional Radiology (IR) MATERIALS A... read more
This study investigates the two-dimensional unsteady flow of a Sutterby fluid over a stretching surface under no slip boundary condition with additional effects. The governing fractional model develop with non-local behavior of fluid properties are h... read more
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