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...
Pharmaceutical contaminants, such as Cefuroxime sodium, pose a significant threat to aquatic ecosystems due to their persistence and bioactivity. This study reports the synthesis of sustainable mesopo...
Inferring others' mental states and emotions is central to social cognition, yet research in this domain has predominantly focused on external cues such as facial expressions and body posture. Here, w...
This paper presents a proof-of-concept for an urban traffic management system utilizing the hardware-accelerated capabilities of the Orange Pi 6 Plus. The proposed architecture leverages the CIX CD818...
The discovery of novel odorant molecules is key for the fragrance and flavor industries, yet efficiently navigating the vast chemical space to identify structures with desirable olfactory properties r...
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...
Objective Maintenance hemodialysis (MHD) patients face a high risk of mortality. This study aimed to identify factors associated with mortality and assess the survival benefit of hemodialysis combined...
Biogenic volatile organic compounds (BVOCs) are important molecules that may act as indicators for aquatic ecosystem health, functioning and composition. However, aquatic BVOC sampling methods are cur...
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