Effects of phytosterol ester on aortic aging and expression of related genes in rats

AIM: To explore the protective effect of phytosterol ester (PSE) on aortic aging in rats. METHODS: The female SD rats (12 months old, n=42) were randomly divided into control group, model group and PSE group. During the experiment, the rats in control group, model group and PSE group were treated with basic feed, high-fat diet (HFD) and HFD with 2% PSE (W/W) for 6 months, respectively. The morphological changes of the aorta were observed by HE staining and Masson staining, and the absolute area of smooth muscle cells and collagen fiber in the vascular wall were measured by image analysis. The levels of advanced glycosylation end products (AGEs), malondialdehyde (MDA), superoxide dismutase (SOD) and catalase (CAT) in the plasma were detected. The expression of silent information regulator 1 (SIRT1) and peroxisome proliferator-activated receptor γ (PPARγ) at mRNA and protein levels in the vascular tissue was determined by real time PCR and Western blot, respectively. RESULTS: PSE significantly lowered plasma TC and LDL-C, and increased plasma HDL-C level (P<0.05), but had no effect on plasma TG level. PSE significantly attenuated the thickening of intima and media of aging aortic, and decreased the migration of vascular smooth muscle cells (VSMC) and the amount of VSMC and collagen fiber in the aorta (P<0.05). PSE significantly reduced the contents of AGEs and MDA (P<0.05), but had no effect on the activity of SOD and CAT in the plasma. PSE also down-regulated the expression of PPARγ and up-regulated the expression of SIRT1 (P<0.05). CONCLUSION: PSE is able to attenuate the senescence process in the aorta by reducing the production of reactive oxygen species in plasma, and activating SIRT1, or inhibiting the expression of PPARγ in vascular tissues.     

基于Bloom Filter的去重方法研究

在个性化新闻推荐系统中，文章去重是一个重要的模块，避免了同一篇文章被重复推荐的现象。在海量用户场景下，采用传统的基于队列的去重方法将会消耗大量的内存。Bloom Filter是一种空间效率很高的随机数据结构，适用于允许有一定误判率的场景。本文基于Bloom Filter，设计双Bloom Filter位数组结构和Bloom Filter位数组链结构。实验证明，基于Bloom Filter位数组链的去重方法，不仅大大降低了程序对服务器内存要求，而且具有较好的灵活性和扩展性。     

基于WebGIS的国家森林公园旅游信息系统构建

分析国家森林公园旅游的特点以及森林公园旅游信息系统建设的现状,介绍基于WebGIS技术开发国家森林公园旅游信息系统的技术优势和该系统的设计方法。以三爪仑国家森林公园为例,介绍WebGIS技术在国家森林公园旅游信息系统中的应用。通过该系统构建实现面向旅游爱好者的国家森林公园旅游信息交流和面向管理职能部门的信息管理功能。     

泉州市电子信息产业产学研合作——科技人员服务企业行动的模式与经验的探讨

电子信息产业是泉州市的重要新兴产业。产学研合作有力地促进泉州市电子信息产业的发展。该文对泉州市电子信息产业产学研合作中科技人员服务企业行动的模式与经验进行探讨。     

论信息时代网络语言中的外来语

随着信息时代网络交流的日益普及,网络与语言结合,形成了一种全新的语言模式—网络语言。网络语言中一个突出的现象是大量外来语杂糅其中。通过分析网络语言中外来语的表现形式,探讨网络语言中外来语流行的原因,并提出如何正确看待这一现象。     

基于LAN的农业科学研究院的科研仪器共享共用信息平台设计与实现

为提高科研院所大型仪器的利用率、降低科研成本,以浙江省农业科学院大型仪器信息化管理为研发对象,研发了大型仪器管理系统,重点论述了该系统的设计思想、系统结构及主要功能。     

网络信息安全与防范探讨

网络在给人们工作、生活带来便捷的同时，也产生了一些消极影响。通过分析网络安全面临的挑战及其表现形式，从技术层面提出有效保护网络安全的有效途径。     

一种基于数据动态迁移的分级备份系统的研究

随着运营商信息化进程的不断深化，业务数据量处于高速的增长，管理信息系统的高效访问以及安全性正在变得越来越重要。本文以信息系统的数据价值评估为基础，提出一种数据动态迁移模型，并引入虚拟带库作为近线存储，形成完整的解决方案。实现传统备份到分级备份的升级改造，优化信息系统备份架构，提高数据的访问以及保护的效率。     

浅析森林资源管理信息系统研究现状及发展

21世纪是信息时代,在信息社会中,随着网络技术的不断发展,科学技术的迅速发展,特别是"3S"技术在林业上广泛应用,森林资源的科学管理和高效应用是非常重要的,传统的森林资源管理模式已经不能适应时代的发展,因此,实现信息化管理势在必行。     

A proposal to leverage high-quality veterinary diagnostic laboratory large data streams for animal health,public health,and One Health

Test data generated by ~60 accredited member laboratories of the American Association of Veterinary Laboratory Diagnosticians (AAVLD) is of exceptional quality. These data are captured by 1 of 13 laboratory information management systems (LIMSs) developed specifically for veterinary diagnostic laboratories (VDLs). Beginning ~2000, the National Animal Health Laboratory Network (NAHLN) developed an electronic messaging system for LIMS to automatically send standardized data streams for 14 select agents to a national repository. This messaging enables the U.S. Department of Agriculture to track and respond to high-consequence animal disease outbreaks such as highly pathogenic avian influenza. Because of the lack of standardized data collection in the LIMSs used at VDLs, there is, to date, no means of summarizing VDL large data streams for multi-state and national animal health studies or for providing near-real-time tracking for hundreds of other important animal diseases in the United States that are detected routinely by VDLs. Further, VDLs are the only state and federal resources that can provide early detection and identification of endemic and emerging zoonotic diseases. Zoonotic diseases are estimated to be responsible for 2.5 billion cases of human illness and 2.7 million deaths worldwide every year. The economic and health impact of the SARS-CoV-2 pandemic is self-evident. We review here the history and progress of data management in VDLs and discuss ways of seizing unexplored opportunities to advance data leveraging to better serve animal health, public health, and One Health.