Publications by authors named "Yihang Feng"
Article Synopsis
- A study presented a non-specific optical sensor array that can quickly identify multiple pathogenic bacteria in contaminated milk, addressing a key food safety challenge.
- The method involves using fluorescence-labeled DNA that is altered by nanoparticles, creating unique fingerprints for eight different bacteria, both pathogenic and spoilage.
- Machine learning models, particularly artificial neural networks, achieved high accuracy rates (up to 98.4%) for bacterial classification within a couple of hours, offering a low-cost and accurate alternative to traditional detection methods.
Working memory (WM) involves the capacity to maintain and manipulate information over short periods. Previous research has suggested that fronto-parietal activities play a crucial role in WM. However, there remains no agreement on the effect of working memory load (WML) on neural activities and haemodynamic responses.
View Article and Find Full Text PDFThe 2019 coronavirus disease (COVID-19) epidemic has caused serious disruptions in food supply networks. Based on the case of the remerging epidemic in China, this paper aims to investigate food supply network disruption and its mitigation from technical and structural perspectives. To solve the optimal policy choice problem that how to improve mitigation capability of food supply networks by using traceability technology and adjusting network structure, the occurrence mechanism of food supply network disruptions is revealed through a case study of the remerging COVID-19 outbreak in Beijing's Xinfadi market.
View Article and Find Full Text PDFObjective And Method: We performed a case-control study, which included antipsychotic-naïve first-episode schizophrenia (FES) of adolescents and young adults and general population controls, to investigate the early-onset cardiometabolic risk factors in FES.
Results: FES had more frequent lower HDL-C when compared to controls. However, the distribution of BMI and the frequency of hypercholesterolemia, elevated LDL-C, hypertriglyceridemia in FES were not significantly different to controls.
Objective: It is well established that schizophrenia patients have high cardiovascular morbidity and mortality. However, the underlying risk factors in the earliest stages of both schizophrenia illness and antipsychotics treatment are less clear. This study aimed to characterize the metabolic features of those patients.
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