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Robotic process automation(RPA) is one of today's research hotspots.The pickup and automation of web page elements is one of the important functions of RPA.RPA injects scripts into the web page to process web pages by using browser extensions,using web page element positioning path to locate to the target node for automated operations.When there is a cross-domain frame in the source web page,due to the limitations of the same-origin strategy,the script injected into the source web page can not obtain the DOM object of the target node,resulting in the inability to generate a web page element positioning path,so that it can not be automated.When processing a web page containing a third-party cross-domain frame,the scheme treats it as a frame process equal to the status of the source web page frame,and the web page element positioning path is designed to contain the url of the frame and the form of the web page element Xpath to achieve cross-domain web page element pickup and automation.Experiments show that the scheme can effectively pick up and automate the elements of cross-domain web pages,and support chrome,firefox,and other browsers that support browser extensions.

Objective To screen the single nucleotide polymorphism (SNP) loci and related genes that are significantly associated with essential hypertension among Chinese Tajiks by using exon sequencing and to reveal the unique essential hypertension related gene polymorphisms of the high-altitude minority. Methods A total of 62 Chinese Tajiks (26 in the control group and 36 in the hypertension group) from Tashkurgan County (in the east of Pamir Plateau), Kashgar, Xinjiang Uygur Autonomous Region, in July 2017 were recruited in this study. Their venous blood were collected for DNA extraction to make exon sequencing. According to the significant differences in allele frequency distribution between the 2 groups, the SNP loci associated with essential hypertension were screened out. Finally, after the currently known hypertension-related genes were removed, enrichment analysis was carried out on the remaining genes to find out the most significant enrichment pathway, and the obtained top 5 significantly related SNP loci were further analyzed with genetic association analysis. Results A total of 6 739 SNP loci with statistically significant differences in allele frequency distribution between the 2 groups were screened out, and these loci were located on 3 646 genes in total. The remaining genes were significantly enriched in the regulation of GTPase activity pathway after the removal of currently known hypertension-related genes[log10(P)=-4.06]. Among them, the significantly related SNP loci and their genes were rs17261772(RAB3GAP1), rs7319836(LRCH1), and rs868188(ARHGEF11). Conclusion Regulation of GTPase activity pathway may be involved in the progression of essential hypertension among Chinese Tajiks. The mutation of rs17261772, rs7319836 and rs868188 on this pathway may have an important influence on the risk of hypertension to the high-altitude minority.

Simple Summary: Growth traits are important economic traits of broilers. We found the key metabolites that may be related to the body weight of Wumeng black-bone chicken by comparing their serum metabolomics between the high- and low-weight groups. Metabolites with high levels in serum such as riboflavin and 2-isopropylmalic acid may be beneficial to growth performance, and the enrichment of inflammation-related metabolites may be related to low body weight of chickens. Our results can provide a certain reference for the analysis of metabolic mechanism of body-weight formation of chickens. Growth performance is an important economic trait of broilers but the related serum metabolomics remains unclear. In this study, we utilized non-targeted metabolomics using ultra-high-performance liquid phase tandem mass spectrometry (UHPLC-MS/MS) to establish metabolite profiling in the serum of Chinese Wumeng black-bone chickens. The biomarker metabolites in serum associated with growth performance of chickens were identified by comparing the serum metabolome differences between chickens that significantly differed in their weights at 160 days of age when fed identical diets. A total of 766 metabolites were identified including 13 differential metabolite classes such as lipids and lipid-like molecules, organic acids and their derivatives, and organoheterocyclic compounds. The results of difference analysis using a partial least squares discriminant analysis (PLS-DA) model indicated that the low-body-weight group could be differentiated based on inflammatory markers including prostaglandin a2, kynurenic acid and fatty acid esters of hydroxy fatty acids (FAHFA), and inflammation-related metabolic pathways including tryptophan and arachidonic acid metabolism. In contrast, the sera of high-body-weight chickens were enriched for riboflavin and 2-isopropylmalic acid and for metabolic pathways including riboflavin metabolism, acetyl group transfer into mitochondria, and the tricarboxylic acid (TCA) cycle. These results provide new insights into the practical application of improving the growth performance of local chickens. [ABSTRACT FROM AUTHOR]

As information technology continues to evolve, cloud data centres have become increasingly prominent as the preferred infrastructure for data storage and processing. However, this shift has introduced a new array of security challenges, necessitating innovative approaches distinct from traditional network security architectures. In response, the Zero Trust Architecture (ZTA) has emerged as a promising solution, with micro-segmentation identified as a crucial component for enabling continuous auditing and stringent security controls. VxLAN technology is widely utilized in data centres for tenant isolation and virtual machine interconnection within tenant environments. Despite its prevalent use, limited research has focused on its application in micro-segmentation scenarios. To address this gap, we propose a method that leverages VLAN and VxLAN many-to-one mapping, requiring that all internal data centre traffic routes through the VxLAN gateway. This method can be implemented cost-effectively, without necessitating business modifications or causing service disruptions, thereby overcoming the challenges associated with micro-segmentation deployment. Importantly, this approach is based on standard public protocols, making it independent of specific product brands and enabling a network-centric framework that avoids software compatibility issues. To assess the effectiveness of our micro-segmentation approach, we provide a comprehensive evaluation that includes network aggregation and traffic visualization. Building on the implementation of micro-segmentation, we also introduce an enhanced asset behaviour algorithm. This algorithm constructs behavioural profiles based on the historical traffic of internal network assets, enabling the rapid identification of abnormal behaviours and facilitating timely defensive actions. Empirical results demonstrate that our algorithm is highly effective in detecting anomalous behaviour in intranet assets, making it a powerful tool for enhancing security in cloud data centres. In summary, the proposed approach offers a robust and efficient solution to the challenges of micro-segmentation in cloud data centres, contributing to the advancement of secure and reliable cloud infrastructure. [ABSTRACT FROM AUTHOR]