Meet-Cloud for Secure and Accurate Distribution of Negative Messages in Vehicular Ad hoc Network

Keeping Vehicular Ad hoc Network(VANET) from attacks requires secure and efficient distribution of information about bad entities. Negative messages are pieces of information that define the negative attributes of vehicles. By formally defining the negative message, we observe that accuracy is essential for its efficient distribution. We formally define the coverage percentage and accurate coverage percentage to describe the availability and distribution efficiency of negative message. These two metrics can jointly evaluate the performance of a distribution method. To obtain both high coverage percentage and high accurate coverage percentage, we propose meet-cloud, a scheme based on meet-table and cloud computing to securely and accurately distribute negative messages in VANET. A meet-table in a Road Side Unit(RSU) records the vehicles it encounters. All meettables are sent to cloud service to aggregate a global meet-table. The algorithm for distributing and redistributing negative messages are designed. Security analysis shows that meet-cloud is secure against fake and holding on to negative message attacks. Simulations and analysis demonstrate that meet-cloud is secure under denial of service and fake meet-table attacks. The simulation results also justify that meet-cloud outperforms the RSU broadcast and epidemic model.     

Blockage of the NLRP3 inflammasome by MCC950 improves anti-tumor immune responses in head and neck squamous cell carcinoma

The NLRP3 inflammasome is a critical innate immune pathway responsible for producing active interleukin (IL)-1β, which is associated with tumor development and immunity. However, the mechanisms regulating the inflammatory microenvironment, tumorigenesis and tumor immunity are unclear. Herein, we show that the NLRP3 inflammasome was over-expressed in human HNSCC tissues and that the IL-1β concentration was increased in the peripheral blood of HNSCC patients. Additionally, elevated NLRP3 inflammasome levels were detected in tumor tissues of Tgfbr1/Pten 2cKO HNSCC mice, and elevated IL-1β levels were detected in the peripheral blood serum, spleen, draining lymph nodes and tumor tissues. Blocking NLRP3 inflammasome activation using MCC950 remarkably reduced IL-1β production in an HNSCC mouse model and reduced the numbers of myeloid-derived suppressor cells (MDSCs), regulatory T cells (Tregs) and tumor-associated macrophages (TAMs). Moreover, inhibiting NLRP3 inflammasome activation increased the numbers of CD4⁺ and CD8⁺ T cells in HNSCC mice. Notably, the numbers of exhausted PD-1⁺ and Tim3⁺ T cells were significantly reduced. A human HNSCC tissue microarray showed that NLRP3 inflammasome expression was correlated with the expression of CD8 and CD4, the Treg marker Foxp3, the MDSC markers CD11b and CD33, and the TAM markers CD68 and CD163, PD-1 and Tim3. Overall, our results demonstrate that the NLRP3 inflammasome/IL-1β pathway promotes tumorigenesis in HNSCC and inactivation of this pathway delays tumor growth, accompanied by decreased immunosuppressive cell accumulation and an increased number of effector T cells. Thus, inhibition of the tumor microenvironment through the NLRP3 inflammasome/IL-1β pathway may provide a novel approach for HNSCC therapy.     

A Layer-Stripping Method for 3D Near-Surface Velocity Model Building Using Seismic First-Arrival Times

In order to improve the efficiency of 3D near-surface velocity model building, we develop a layer-stripping method using seismic first-arrival times. The velocity model within a Common Mid-Point (CMP) ...     

Defining G protein-coupled receptor peptide ligand expressomes and signalomes in human and mouse islets

Introduction

Islets synthesise and secrete numerous peptides, some of which are known to be important regulators of islet function and glucose homeostasis. In this study, we quantified mRNAs encoding all peptide ligands of islet G protein-coupled receptors (GPCRs) in isolated human and mouse islets and carried out in vitro islet hormone secretion studies to provide functional confirmation for the species-specific role of peptide YY (PYY) in mouse islets.

Materials and methods

GPCR peptide ligand mRNAs in human and mouse islets were quantified by quantitative real-time PCR relative to the reference genes ACTB, GAPDH, PPIA, TBP and TFRC. The pathways connecting GPCR peptide ligands with their receptors were identified by manual searches in the PubMed, IUPHAR and Ingenuity databases. Distribution of PYY protein in mouse and human islets was determined by immunohistochemistry. Insulin, glucagon and somatostatin secretion from islets was measured by radioimmunoassay.

Results

We have quantified GPCR peptide ligand mRNA expression in human and mouse islets and created specific signalomes mapping the pathways by which islet peptide ligands regulate human and mouse GPCR signalling. We also identified species-specific islet expression of several GPCR ligands. In particular, PYY mRNA levels were ~ 40,000-fold higher in mouse than human islets, suggesting a more important role of locally secreted Pyy in mouse islets. This was confirmed by IHC and functional experiments measuring insulin, glucagon and somatostatin secretion.

Discussion

The detailed human and mouse islet GPCR peptide ligand atlases will allow accurate translation of mouse islet functional studies for the identification of GPCR/peptide signalling pathways relevant for human physiology, which may lead to novel treatment modalities of diabetes and metabolic disease.

     

基于NOMA的认知无线电网络功率分配

考虑采用非正交多址接入(NOMA)技术的认知无线电网络下行链路的功率分配问题,旨在最大化接入系统的次用户数,提升系统的频谱效率.在不影响主用户通信的情况下,对次用户进行合理的功率分配,使得系统接入的次用户数最大化.在系统可用功率未得到充分利用时,考虑在接入系统的次用户间对未利用的功率再次进行功率分配,提升系统的频谱效率.仿真结果显示:当次用户最小速率为2.5 bit·s~(-1),请求接入系统的次用户数为10时,频谱效率可提升13%.     

乡村振兴绩效评价:意义、维度与路径

2018年,中共中央、国务院印发《中国乡村振兴战略规划(2018-2022年)》,全面部署和布局乡村振兴战略.文章基于政府绩效评价的理念和方法,构建乡村振兴绩效评价指标体系,明确评价维度,为实现乡村振兴、城乡融合发展提供价值导向、度量体系和动力工具.该评价维度包涵资源投入、过程监管、目标实现情况和社会满意度四个方面.文章指出,相关单位以绩效评价推进乡村振兴时应注重顶层设计,强化部门协同,构建评价体系,引入第三方评价主体,凸显农民获得感.     

Speeding Up the GVW Algorithm via a Substituting Method

Journal of Systems Science and Complexity - The GVW algorithm is an efficient signature-based algorithm for computing Gröbner bases. In this paper, the authors consider the implementation of...     

血浆N末端脑利钠肽水平和心脏超声功能参数在评估临床心功能分级中的价值研究

目的探讨血浆N末端脑利钠肽(NT-proBNP)水平和心脏超声功能参数在评估临床心功能分级中的价值.方法选取慢性心力衰竭患者106例,入院次日清晨抽取患者空腹肘静脉血,采用酶联免疫法检测血浆NTproBNP水平,并对患者进行纽约心脏病协会(NYHA)心功能分级评定,之后进行心脏彩色多普勒超声检查.结果血浆NT-proBNP水平与心功能分级之间呈明显正相关(P0.01);左心室短轴缩短率、左心射血分数与心功能分级之间呈明显负相关(P0.01);左心室舒张末期内径、左心室收缩末期内径与心功能分级之间呈明显正相关(P0.01);不同心功能分级之间血浆NT-proBNP水平、各心脏超声功能参数均存在明显差异(P0.01);其中,心功能Ⅰ级和Ⅱ级,Ⅲ级和Ⅳ级之间差异均无统计学意义(P0.05),Ⅲ级与Ⅰ级、Ⅱ级,Ⅳ级与Ⅰ级、Ⅱ级之间差异均有显著统计学意义(P0.01);NT-proBNP联合心脏超声检查对不同心功能分级的诊断特异性和敏感性明显高于血浆NT-proBNP水平、心脏超声检查,差异具有统计学意义(P0.05).结论血浆NT-proBNP水平联合心脏超声功能参数能够客观准确地判断慢性心力衰竭患者的心功能情况,有助于指导临床对该类患者的治疗及判断预后.     

基于风廓线雷达的降水云分类方法在海南地区的应用

将风廓线雷达用于热带降水云体进行垂直探测,可以实时对热带地区降水云体进行较准确分类.通过对海口地区降水云系特征(2017年1月～12月)进行统计分析,提出一套基于风廓线雷达探测数据(回波强度、垂直速度和速度谱宽)的热带降水云体分类方法.以该方法为基础,结合天气雷达等观测资料,对2017年发生在海口地区的两次降水过程展开详细分析.结果表明:风廓线雷达具备较好体现降水云体垂直结构的能力,相比于天气雷达,风廓线雷达探测数据可以更精细地描述降水云系的变化趋势;相比于传统降水分类方案,采用以风廓线雷达探测数据为基础的分类方案可以提高对复杂降水类型识别的正确率;风廓线雷达可以更好地描述快速过境的高空微弱对流系统.