SinoXivAims This study aimed to evaluate the effects of integrated nutrient management (INM) strategies involving reduced recommended fertilizer doses (RDF) and different micronutrient application methods on...
Concrete crack segmentation in field imagery remains challenging because cracks are thin, elongated, low-contrast, and easily confused with stains, shadows, and heterogeneous textures. Existing lightw...
Adverse pregnancy outcomes (APOs), including preeclampsia, preterm birth, and maternal heart failure, pose substantial risks for women with pre-existing heart disease. Soluble ST2 (sST2), a biomarker ...
The large-scale deployment of Large Language Models (LLMs) is constrained by significant energy consumption and operational costs, with inference accounting for up to 90% of the total energy footprint...
Anthropogenic activities have increasingly pressured biodiversity worldwide. The cactus Melocactus pachyacanthus, an endemic and endangered species of Brazil´s Caatinga biome, is particularly vulnerab...
Large language model (LLM)-based chatbots are increasingly integrated into various sectors of people's lives, including education, healthcare, and retail. As they become more ubiquitous, safety concer...
Acute stroke lesions evolve rapidly, making it essential to model both temporal progression signals and anatomical constraints. DME-Net incorporates complementary temporal and spatial memory banks tha...
Background: Timely detection of localised COVID-19 surges is essential for targeting limited health resources, yet most routine surveillance algorithms ignore spatial dependence and many Bayesian spat...
The rapid diffusion of generative artificial intelligence (AI) in higher education has reshaped academic practices, yet its implications for transparency, authorship, and academic performance remain i...
In the last decades, energy-based models (EBMs) have become an important class of probabilistic models in which a component of the likelihood is intractable and therefore cannot be evaluated explicitl...
