17β-Hydroxysteroid dehydrogenase type 2 (17β-HSD2) catalyzes the NADP+-dependent oxidation of the most potent estrogen 17β-estradiol into the weak estrogen estrone, and the conversion of testosterone to androstenedione. It has been reported that 17β-HSD2 was expressed in many tissues in human, rats, however, the full-length sequence of 17β-HSD2 gene and its expression in ewe were still unknown. In this study, we cloned the full-length cDNA sequence and investigated mRNA differential expression in 28 tissues of 12 adult Hu-Sheep which were fed with high- and low- dietary intake. The 1,317 bp full-length cDNA sequence was first cloned. The coding region was 1,167 bp in length, and the monomer was estimated to contain 389 amino acid residues. It shares high AA sequence identity with that of bos Taurus (96.13 %), sus scrofa (77.06 %), canis lupus familiaris (70.44 %), Callithrix jacchus (65.72 %), Nomascus leucogenys (65.46 %), pan troglodytes (65.21 %), human (64.69 %), mus musculus (58.35 %), and a comparatively lower identity to danio rerio (37.85 %). 17β-HSD2 gene was high expressed in gastrointestinal (GI) tract, liver, but weakly expressed in other tissues. No detected expression was examined in lung. 17β-HSD2 gene expression was significantly difference in rumen, omasum, duodenum, cecum, hypophysis after high- and low- dietary intake. Results from the present study suggested that 17β-HSD2 plays a crucial role in almost all tissues protecting against excessive levels of active steroid hormone, and GI tract maybe an important steroid hormone metabolizing organ in Hu-Sheep. This present study is the first to provide the primary foundation for further insight into this ovine gene.
Objective: Few studies have investigated the psychological impact throughout a major epidemic, such as COVID-19. This study aimed to evaluate the psychological state of individuals experienced quarantine and to provide evidence to reduce the impact of quarantine after COVID-19.Methods: A questionnaire-based survey conducted by using an internet site using 631 individuals who lived in China in the year 2020. Spearman rank correlation analysis was used for the data analysis.Results: Approximately 9.97% of the study participants reported that they did not feel good about his or her health condition. Approximately 50.16% of participants had experienced various levels of anxious and nervous feelings. Approximately 5.91% of participants reported anxious or nervous feelings almost every day. By using the spearman rank correlation analysis, we observed that anxious and nervous feelings appeared to be correlated with the frequency of receiving negative news, current health situation and time spent on receiving information related to COVID-19.Conclusion: A long-term quarantine is likely to have some level of impact on health conditions among relatively healthy individuals. The survey study may suggest that government and hospital workers should pay close attention to the psychological change experienced by quarantined individuals.
The short term load forecast of power system is one of the important tasks of power dispatch and service department, whose accuracy has a close relation with dispatch operation, production plan and quality of power supply. Artificial neural network was introduced into forecasting of short term load. Aiming at the drawback in classical BP artificial networks and combining with differential evolution algorithms, this paper puts forwards the prediction model based on real number coded DE-BP artificial networks. Experimental result show this model has high prediction accuracy and can be used into real project.
The rapid detection of the large complex surface was researched with the development of China's manufacturing industry. A industrial close-range photogrammetry new detection Method was put forward based on the analysis of three-dimensional optical measurement principle. The experiment results verify that the accuracy of the three-dimensional optical measurement system independently developed by Xi'an Jiao Tong University meets the Engineering requirements. The main characteristics of large workpiece can be clearly measured and the detection method can be easily used at the production site.
The cause of the fatigue fracture of the coal compactor roller shaft is analyzed in this paper. By means of investigating the macro-fracture and micro-fracture analysis for the shaft roller, and use ANSYS software to simulate the fatigue stress to find out the reasons of the roller shaft fracture and thus provides theoretical support for further optimizing the design of the roller shaft structure.This lied a solid foundation for how to improve the designation of roller shaft and how to improve the lifespan of the roller shaft
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