Publications by authors named "Feihu Che"

Article Synopsis
  • The study aimed to investigate the epidemiological and genetic characteristics of the H1N1 influenza virus in Hangzhou City using samples from a hospital between January and March 2023.
  • Researchers collected 2,376 respiratory samples, identifying 680 cases of influenza A, from which 112 H1N1 and 17 H3N2 subtypes were isolated for genetic analysis.
  • Analysis of HA and NA genes showed high similarity to WHO-recommended vaccine strains, with several amino acid mutations detected in the H1N1 strains that could affect their antigenic properties.
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Knowledge graph embedding (KGE) involves mapping entities and relations to low-dimensional dense embeddings, enabling a wide range of real-world applications. The mapping is achieved via distinguishing the positive and negative triplets in knowledge graphs. Therefore, how to design high-quality negative triplets is critical in the effectiveness of KEG models.

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Background: To establish a chemiluminescence method for detecting anti-E1 and anti-E2 antibodies in the serum of patients with hepatitis C virus (HCV) infection.

Methods: The microplate was coated with recombinant envelope proteins E1 and E2 by indirect method, respectively, and the kits for detecting anti-E1 and anti-E2 antibodies were prepared. The methodological indexes were evaluated.

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In this study, we independently developed a universal nasopharyngeal swab extraction-free reagent based on a trehalose lipid for the rapid detection of pathogen nucleic acids in respiratory infectious diseases. By comparing the isothermal amplification results of a 2019-nCoV pseudovirus solution treated with different components of the extraction-free reagent, we determined the optimal composition of the extraction-free reagent to be a mixed solution of 10 mmol L tris-HCl containing 0.05 mmol L EDTA (TE solution), 5% glycine betaine, 0.

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Temporal knowledge prediction is a crucial task for early event warning, which has gained increasing attention recently. It aims to predict future facts based on relevant historical facts using temporal knowledge graphs. There are two main difficulties associated with the prediction task: from the perspective of historical facts, modeling the evolutionary patterns of facts to accurately predict the query and from the query perspective, handling the two cases where the query contains seen and unseen entities in a unified framework.

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Objective: Our aim was to establish a chemiluminescence method for detecting anti-transmembrane protein (p7) antibody in the serum of patients with hepatitis C virus (HCV) infection.

Methods: The p7 gene was amplified by polymerase chain reaction using the plasmid PUC-p7 containing the p7 nucleic acid sequence of the HCV 1b genotype as the template, and recombinant plasmid pGEX-KG-p7 was constructed. After p7 fusion, the protein was induced and expressed in the prokaryote, extracted, and purified; the anti-p7 antibody detection kit was prepared, and its efficacy was evaluated.

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Certain patients with hepatitis B virus (HBV) infection present with persistently low levels of serum hepatitis B surface antigen (HBsAg) and have been indicated to have low rates of HBV nucleic acid replication. To explore the serological and molecular epidemiological characteristics of HBV population with low-level HBsAg in the present study, associated serum markers and virologic genotype detection were performed accordingly. Determination of HBV markers was performed using a chemiluminescence immunoassay from which 2,544 out of 45,256 adults who underwent routine health examination were tested positive for HBsAg.

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Objective: To establish a stable and efficient in vitro culture model for tachyzoites of Toxoplasma gondii RH strain.

Methods: Tachyzoites were inoculated into HeLa cells to establish an in vitro culture system. The proliferation of tachyzoites was observed under microscope by the method of Giemsa stain.

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