User Station Security Protection Method Based on Random Domain Name Detection and Active Defense

The power monitoring system is the most important production management system in the power industry. As an important part of the power monitoring system, the user station that lacks grid binding will become an important target of network attacks. In order to perceive the network attack events on the user station side in time, a method combining real-time detection and active defense of random domain names on the user station side was proposed. Capsule network (CapsNet) combined with long short-term memory network (LSTM) was used to classify the domain names extracted from the traffic data. When a random domain name is detected, it sent instructions to routers and switched to update their security policies through the remote terminal protocol (Telnet), or shut down the service interfaces of routers and switched to block network attacks. The experimental results showed that the use of CapsNet combined with LSTM classification algorithm can achieve 99.16% accuracy and 98% recall rate in random domain name detection. Through the Telnet protocol, routers and switches can be linked to make active defense without interrupting services.

基于网络药理学探讨桃红四物汤治疗阿尔茨海默症的主要有效成分及其作用机制

桃红四物汤(Taohong Siwu Decoction,THSWD)是活血化瘀的经典中药方剂,本研究利用网络药理学筛选THSWD潜在活性成分,探讨其治疗阿尔茨海默症的核心作用靶点和信号通路。首先,通过TCMSP和SEA数据库,筛选THSWD的活性成分及其作用靶点,共获得25个活性化合物(active compounds,ACs)和478个活性成分靶点;通过TTD、Dis Ge NET、Drug Bank、GAD和Gene Cards数据库共获得阿尔茨海默症疾病靶点724个。寻找活性成分作用靶点和疾病相关靶点的交集,共获得64个靶点(overlapping targets,OTs)。然后,构建25个ACs和64个OTs相互关系网络,获得21个一级关键化合物(first level key compound,FKCs)。通过对64个OTs进行PPI分析,获得33个核心靶点(core targets,CTs),并对这33个CTs进行KEGG聚类分析,获得排名靠前73条通路。最后,利用Cytoscape 3.7.2软件绘制“21个FKCs-33个CTs-73条通路”网络关系图,根据拓扑参数进行选择,进一步获得19个二级关键化合物(second key components,SKCs)。对“19个SKCs-33个CTs-73条通路”进行网络的分析与提取,最终构建得到THSWD干预阿尔茨海默症“6种单味药-8种潜在活性成分-13个核心作用靶点-54条信号通路”的网络图谱。研究结果为阐明THSWD的药效物质基础和进一步研究THSWD治疗阿尔茨海默症的作用机制和临床应用提供了新思路。

A novel Nanocellulose-Gelatin-AS-IV external stent resists EndMT by activating autophagy to prevent restenosis of grafts

Vein grafts are widely used for coronary artery bypass grafting and hemodialysis access,but restenosis remains the"Achilles’heel"of these treatments.An extravascular stent is one wrapped around the vein graft and provides mechanical strength;it can buffer high arterial pressure and secondary vascular dilation of the vein to prevent restenosis.In this study,we developed a novel Nanocellulose-gelatin hydrogel,loaded with the drug Astragaloside IV(AS-IV)as an extravascular scaffold to investigate its ability to reduce restenosis.We found that the excellent physical and chemical properties of the drug AS-IV loaded Nanocellulose-gelatin hydrogel external stent limit graft vein expansion and make the stent biocompatible.We also found it can prevent restenosis by resisting endothelial-to-mesenchymal transition(EndMT)in vitro.It does so by activating autophagy,and AS-IV can enhance this effect both in vivo and in vitro.This study has added to existing research on the mechanism of extravascular stents in preventing restenosis of grafted veins.Furthermore,we have developed a novel extravascular stent for the prevention and treatment of restenosis.This will help optimize the clinical treatment plan of external stents and improve the prognosis in patients with vein grafts.

Rice Expression Database(RED)：An integrated RNA-Seq-derived gene expression database for rice

Rice is one of the most important stable food as well as a monocotyledonous model organism for the plant research community.Here,we present RED（Rice Expression Database;http：//expression.ic4r.org）,an integrated database of rice gene expression profiles derived entirely from RNA-Seq data.RED features a comprehensive collection of 284 high-quality RNA-Seq experiments,integrates a large number of gene expression profiles and covers a wide range of rice growth stages as well as various treatments.Based on massive expression profiles,RED provides a list of housekeeping and tissue-specific genes and dynamically constructs co-expression networks for gene（s） of interest.Besides,it provides user-friendly web interfaces for querying,browsing and visualizing expression profiles of concerned genes.Together,as a core resource in BIG Data Center,RED bears great utility for characterizing the function of rice genes and better understanding important biological processes and mechanisms underlying complex agronomic traits in rice.

On the structure of AP-4 responsive element in the LTR of Jembrana disease virus

Previous studies with deletion and sequence analysis of JDV LTR showed that there is a putative AP-4 responsive element in LTR. By antisense transient assay and gel shifting assay, we for the first time demonstrated that AP-4 modulated JDV gene expression by binding DNA di-rectly to bovine cells. The results, derived from site-directed mutagenesis experiments, suggest that the six base pairs of AP-4 binding site (CAGCTG) have different effects on JDV gene expression. When the first two base pairs changed to GC, JDV gene expression is severely decreased.