Chinese Province Of Hubei Research Articles

PREVENTION AND SCREENING FOR COVID 19 INFECTIOUS DISEASE IN THE CONDITIONS OF GENERAL PRACTICE

SARS-CoV-2 is the name of a new strain of coronavirus that was first reported in Wuhan City, the Chinese province of Hubei, in the middle of December 2019. The new viral disease has spread at an alarming rate worldwide, despite extreme anti-epidemic measures and strategies taken by many countries to limit the pandemic. Various activities of active and passive screening in the General practice have implemented to constrain the transamination of coronavirus infection. They involve a series of actions for informing and education of patients, early identification of suspected cases and management of patient with viral infection. To date, there is no approved vaccine or specific antiviral treatment available for COVID- 19. Further research is needed to understand in detail the life cycle of SARS-CoV-2, to detect the original source of the virus, to establish the mechanisms of transmission, as well as to develop effective methods for prevention of the onset of an infectious process and adequate treatment. It is necessary to be presented reliable scientific evidence that will contribute to more effective and quality screening in the General Practice. In this moment, all protective measures in the General medicine's office need to be focused on providing better protection for healthcare professionals and patients.

A Spatially Explicit Optimization Model for Agricultural Straw-Based Power Plant Site Selection: A Case Study in Hubei Province, China

Using agricultural straw to generate electricity is an effective approach for relieving the pressure of procuring a reliable energy supply and reducing environmental pollution. Because the locations of the power plants have a significant impact on the supply of raw materials and the cost of transportation, it is important to choose reasonable locations for power plants. To solve the problem of straw-based power plant site selection (SPPSS), in this paper, a spatially explicit optimization model is proposed. Compared to the existing research, the present study makes the following major contributions: (1) The agricultural land quality evaluation dataset, combined with the cropping system and theoretical yield information, is used as the basic data to estimate agricultural straw yields, thereby increasing the accuracy of the straw yield and spatial distribution estimates. (2) Geographic information system (GIS) techniques are employed to improve an artificial immune system (AIS), which is an effective and flexible approach for solving optimization problems. The Chinese province of Hubei is selected as the experimental area to evaluate the effectiveness of the proposed model. The experimental results demonstrate that of the 34.89 million tons of agricultural straw produced in Hubei Province each year, 17.45 million tons can be used for electricity generation. The optimization schemes generated by the proposed model are feasible. Our results are expected to provide an important decision-making basis for straw-based power plant (SPP) development planning in Hubei Province.

Pavement Performance Comparison of Bituminous Mixtures at Surface Course

The pavement performance study of bituminous mixture at surface course is very important. This paper focused on comparing the pavement performance of AC-l6C, AC-l6F, Super-12.5 and SMA-16 bituminous mixtures. First the gradations and material we used were illustrated. Then the dynamic stability, water stability and texture depth of these bituminous mixtures was tested. After comparing the test data, we found that the SMA-16 bituminous mixture has the best comprehensive pavement performance and it is most suitable for the surface layer bituminous mixture of freeways in Chinese Hubei Province. Super-12.5 and AC-l6C is applicable too, but AC-l6F is improper in this region.

Genetic data provided by 21 autosomal STR loci from Chinese Tujia ethnic group

The aim of this study was to investigate allelic frequency distribution and forensic genetic parameters of autosomal short tandem repeats (STR) loci of the population samples from 107 Tujia individuals from Chinese Hubei Province. Twenty-one autosomal STR genetic markers (D9S1122, D6S474, D6S1017, D5S2500, D4S2408, D3S4529, D2S441, D2S1776, D22S1045, D20S482, D1S1677, D1S1627, D1GATA113, D19S433, D18S853, D17S1301, D11S4463, D12ATA63, D10S1248, D10S1435 and D14S1434) were simultaneously amplified in a new multiplex polymerase chain reaction system. 155 alleles for all the STR loci from the Tujia population were observed and the corresponding allelic frequencies ranged from 0.005 to 0.589. Expected heterozygosity, polymorphic information content, power of discrimination and power of exclusion of the 21 STR loci in the Tujia population were from 0.579 to 0.824, from 0.525 to 0.802, from 0.773 to 0.945 and from 0.257 to 0.641, respectively. Our results indicate that the autosomal STRs multiplex system provides highly informative STR data and could be useful in forensic individual identification and parentage testing in this region.