Buscar recursos académicos

Sighting reports of unmanned aircraft systems (UAS) by pilots, air traffic controllers, and other aviation stakeholders have continued to rise since the Federal Aviation Administration (FAA) began tracking in 2014. In 20...

ObjectiveIn recent years, the application of Deep Learning Reconstruction (DL Recon) technology in MRI has significantly improved the detection rate of small focal liver lesions (FLLs). This study aims to compare the det...

ObjectiveIn this study， we established sandwich enzyme-linked immunosorbent assay （sELISA） methods to detect major soybean allergens β-Conglycinin and glycinin.MethodsA single-factor experiment was conducted to op...

Abstract Background Histoplasma antigen and anti‐Histoplasma antibody detection are used to support the diagnosis of histoplasmosis. There is a paucity of published data on antibody assays. Objectives Our primary hypot...

Hate speech is pervasive across most social media platforms, profoundly impacting users' lives and wellbeing. To address this critical issue, researchers are exploring explainable AI (XAI), which helps users understand A...

ObjectiveThis study aimed to conduct an exploratory observational analysis to assess the association between bacterial L-form detection and intrauterine infection in pregnant women with placenta previa and bleeding, and ...

ObjectiveTo systematically investigate a foodborne disease outbreak caused by Vibrio parahaemolyticus （V. parahaemolyticus） in Nantong City through epidemiological investigation， laboratory testing， whole-genome ...

Abstract Background Detection of free light chains (fLC) in animals relies on protein electrophoresis or the Bence‐Jones protein test on urine. Objective To describe the detection of both serum fLC (sfLC) and urine fLC...

Abstract BackgroundDepression affects more than 300 million people worldwide and is a leading contributor to the global disease burden. Traditional diagnostic methods, such as structured clinical interviews, ...

Objectives: To perform a multicentre study evaluating the performance of the direct nitrate reductase assay (NRA) for the detection of multidrug-resistant (MDR) and extensively drug-resistant (XDR) tuberculosis in sputum...

We study the effects of a Mars-like planetoid with a semimajor axis at about ∼60 AU orbiting embedded in the primordial Edgeworth–Kuiper belt (EKB). The origin of such an object can be explained in the framework of o...

Tidal flats generally exhibit ponds of diverse size, shape, orientation and origin. Studying the genesis, evolution, stability and erosive mechanisms of these geographic features is critical to understand the dynamics of...

The rapid proliferation of unmanned aerial vehicles (UAVs) has created an urgent need for robust detection & identification systems to ensure airspace security and safety. However, the scarcity of large-scale, div...

Accurate identification of plant-parasitic nematodes is fundamental to effective crop protection and the maintenance of soil ecosystem integrity. This study integrates morphological characterization with deep learning-ba...

ObjectiveTo develop a high-performance liquid chromatography-based method for the determination of L-threonate in magnesium L-threonate products.MethodsThe samples were dissolved in water and separated by C18 reversed-ph...

ObjectiveTo address the false-negative risk associated with trace contamination of severe acute respiratory syndrome coronavirus 2 （SARS-CoV-2） on cold-chain food and packaging material surfaces， this study aimed t...

In this paper, we propose a new visual tracking method in light of salience information and deep learning. Salience detection is used to exploit features with salient information of the image. Complicated representations...

Abstract Intertidal macrobenthos are vital bioindicators of coastal ecosystem health due to their ecological roles, limited mobility, and sensitivity to environmental disturbances. However, traditional field‐based moni...

Peacocks have become a significant threat to agricultural fields, causing crop damage and affecting irrigation infrastructure. Traditional deterrence tools, such as scarecrows and nets, are often inefficient, labor- inte...

ABSTRACT To enable autonomous operations in complex industrial environments, this paper proposes retrieval‐augmented generation with large language models for robotic operations (RAGLRO), a robotic framework specifical...

ObjectiveTo analyze the re-inspection results of 4 types of aflatoxins in wheat and its products inspected in He’nan Province in 2023，a simple evaluation method was attempted to establish.MethodsA total of 51 samples...

ObjectiveThe aim of this study was to analyze the concentrations of eugenol residues in live freshwater fish and shrimp， and to evaluate potential human health risks associated with their consumption in Chongqing City....

ObjectiveTo analyze the epidemic characteristics of foodborne diseases caused by Vibrio parahaemolyticus in Jiangsu Province from 2018 to 2022 and the impact of COVID-19 pandemic on these characteristics.MethodsCollect d...

ObjectiveTo investigate the status of pesticide residues in vegetables sold in Ningbo City and assess the risk of the dietary exposure.MethodsFrom 2020 to 2022， 264 vegetable samples of 7 categories such as leaf vegeta...