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Nuclear energy, as an important component of the power system, has become a key focus of future energy development research. Various equipment and pipelines in nuclear power plants require regular inspection, maintenance, and repair. The pipelines in nuclear power plants are typically large, necessitating a device that can locally isolate sections of the pipeline during maintenance operations. Ice plug freezing technology, an economical and efficient method for maintaining and replacing equipment without shutdown, has been widely applied in nuclear power plants. The structure of the ice plug jacket, a type of low-temperature jacket heat exchanger, affects the flow path of the working fluid within the jacket and consequently impacts heat transfer. This study utilizes Computational Fluid Dynamics (CFD) to establish five types of jacket structures: standard, center-offset (center-in, side-out), helical, helical fin, and labyrinth. The effects of different structures on the freezing characteristics of ice plugs are analyzed and compared. The research indicates that the labyrinth jacket enhances the heat transfer performance between liquid nitrogen and the liquid inside the pipe, forming a larger ice layer at the same liquid nitrogen flow rate. Additionally, the standard jacket has the shortest sealing time at high liquid nitrogen flow rates. [ABSTRACT FROM AUTHOR]

Surveillance systems in Beijing, People's Republic of China, play a pivotal role in the detection of seasonal influenza. They enable the onset and the peak of an influenza epidemic to [...]

Objective: To understand the distribution and infection status of hantavirus in Myomorph rodents on Bolshoy Ussuriysky Island (Heixiazi Island) at the Sino-Russian border, and to provide data for the safe development and utilization of Bolshoy Ussuriysky Island., Methods: In 2013 and 2014, Myomorph rodents were trapped on Bolshoy Ussuriysky Island. Total RNA was extracted from rodent tissue, and it was screened for hantavirus RNA by using reverse transcription-polymerase chain reaction. Univariate and multivariate nonconditional logistic regression analysis was used to analyze the RNA prevalence rates in eight species of rodents, in relation to species, sex, age, habitat, and season. In addition, PCR amplicons were sequenced and phylogenetic analysis was performed by using Mega 5.1 software., Results: Six hundred forty-four rodents belonging to three orders, five families, and eight genera were trapped. Fifty-two rodents were infected with hantavirus, and the rate of RNA detection was 8.07%. The infection rates of rodents in different habitats (χ 2  = 14.853, p < 0.05) and different seasons (χ 2  = 16.990, p < 0.05) showed significant differences. A logistic regression analysis showed that habitat and trapping season were risk factors of hantavirus infection (p < 0.05). Phylogenetic analysis showed that the gene sequences of positive samples were Hantaan virus and Khabarovsk virus., Conclusion: There are two types of hantaviruses, such as HTNV (in Apodemus agrarius, Clethrionomys rutilus, Microtus fortis, Rattus norvegicus) and KHAV (in C. rutilus), among the rodents on Bolshoy Ussuriysky Island, and season and habitat are risk factors of hantavirus infection.