DPP-4抑制剂治疗的2型糖尿病患者中焦虑和抑郁发生风险的Network meta分析

目的使用Network meta分析系统评价DPP-4抑制剂类降糖药致2型糖尿病(type 2 diabetes mellitus,T2DM)患者发生焦虑、抑郁的风险。方法系统检索Medline、Embase、Cochrane Library和Clinical Trials.gov网站数据库(截至2016年4月28日)中比较DPP-4抑制剂与其他降糖药发生焦虑、抑郁风险的随机对照试验(randomized controlled trial,RCT),采用传统meta分析和Network meta分析方法对纳入的RCT研究结果进行合并。结果共纳入44项研究,63 731例T2DM患者,包含9种干预措施:5种DPP-4抑制剂(西格列汀、维格列汀、沙格列汀、利格列汀和阿格列汀)、胰高糖素样肽1受体激动剂、磺脲类、噻唑烷二酮类和安慰剂。传统meta分析结果显示,分别与安慰剂、磺脲类、噻唑烷二酮类相比,DPP-4抑制剂导致焦虑、抑郁发生的风险均较低,但差异无显著性(P>0.05)。Network meta分析发现,与噻唑烷二酮类相比,维格列汀致T2DM患者发生焦虑、抑郁的风险较高,差异有显著性(P<0.05,OR=2.64,95%CI 1.03~6.79),与西格列汀相比,维格列汀致T2DM患者发生焦虑、抑郁的风险较高,差异有显著性(P<0.05,OR=2.42,95%CI 1.00~5.85)。与安慰剂或磺脲类比较,DPP-4抑制剂致T2DM患者发生焦虑、抑郁的风险相当,差异无显著性(P>0.05)。采用基于贝叶斯理论的Network meta分析对9种干预措施进行排序,结果显示西格列汀的风险最低。结论 DPP-4抑制剂不会加重T2DM患者罹患焦虑、抑郁等情绪问题的风险,但不同的DPP-4抑制剂导致的风险程度可能存在差异,建议今后开展的大型前瞻性研究应重视焦虑、抑郁等情绪问题的发生情况,以期为获得更加明确的结论提供证据支持。

Synthesis,Structure Characterization and Photoluminescence of a Novel Complex with(6,4,4)-Network [Ce_2(2,5-pydc)_3(H_2O)_2](2,5-pydc = Pyridine-2,5-dicarboxylic Acid)

A new three-dimensional supramolecular [Ce2（2,5-pydc）3（H2O）2]（1） has been hydrothermally synthesized at 180 ℃ and characterized by single-crystal X-ray diffraction.X-ray crystal analyses reveal that the compound belongs to the monoclinic system,space group P21/c,C21H13Ce2N3O14,a = 6.561（1）,b = 17.986（5）,c = 9.411（3） ,β = 95.558（5）° and Z = 2.In the structure of 1,each Ce（1） center is surrounded by 2,5-pydc ligands,forming the 6-connected node,and the 2,5-pydc ligand coordinates to the Ce（Ⅲ） in two different coordination modes.In mode 1,the four oxygen atoms of two carboxyl groups connect neighboring Ce（Ⅲ） ions,giving 4-connected（4-c） second building unit（SBU-1）.Furthermore,the structure is extended into a 2-D layer from SBU-1 by sharing Ce（1） atoms.In mode 2,the ligand coordinates to the Ce（Ⅲ） ion from the adjacent chain with the 4-connected（4-c） second building unit（SBU-2）,generating a 1-D ladder from SBU-2 by sharing Ce（1） atoms.Finally,the structure is extended into a 6,4,4-c network.Its photoluminescence property was also investigated.

Fuzzy Neural Network Model of 4-CBA Concentration for Industrial Purified Terephthalic Acid Oxidation Process

A fuzzy neural network (FNN) model is developed to predict the 4-CBA concentration of the oxidation unit in purified terephthalic acid process. Several technologies are used to deal with the process data before modeling.First,a set of preliminary input variables is selected according to prior knowledge and experience. Secondly,a method based on the maximum correlation coefficient is proposed to detect the dead time between the process variables and response variables. Finally, the fuzzy curve method is used to reduce the unimportant input variables.The simulation results based on industrial data show that the relative error range of the FNN model is narrower than that of the American Oil Company (AMOCO) model. Furthermore, the FNN model can predict the trend of the 4-CBA concentration more accurately.

4-CBA Soft Sensor Based on Fuzzy CMAC Neural Networks

Soft sensor is attractive in dealing with online product quality measurement by virtue of other easily measured variables. In AMOCO PTA (purified terephthalic acid) production process, the unavailability of real-time measurement of 4-CBA makes it impossible for timely adjustment and thereby influences the product quality and the plant economy benefit. In this paper, a kind of FCMAC (fuzzy cerebellar model articulation controller) method is presented to solve the online measurement problem. Different from the conventional CMAC (cerebellar model articulation controller) networks, which has inferior smoothing ability because of its table look-up based technology. Integrating fuzzy model into CMAC networks, it becomes more accurate in functional mapping without weakening its generalization ability. Numerical example and industrial application results show the method proposed here is satisfactory and feasible.

Future Mobile Terminal and Network Access Architecture for China 4G Open Mobile Communications

This paper relates to an advanced open mobile communication system and method of integrating the mobile communications, wireless access systems and wired communications into one common platform architecture for China's 4th generation mobile communications, supporting costeffective broadband voice, data and video services in wireless, mobile and wired environment with one single integrated mobile terminal device. The paper includes new architecture in the integrated mobile device and converged network access, and minimum modifi cation in the existing mobile telecommunication infrastructures. This paper introduces the long-term evolution strategy for China's TDD system platform towards China's future 4G mobile communications.

Hetero-bimetallic Complex of a 2D Coordination Network Constructed by Sodium Ion and p-Sulfonatothiacalix[4]arene

A 2D coordination polymer built by sodium ion and water-soluble p-sulfonatothiacalix[4]arene of trivalent yttrium complex [Na（H2O）2Y（H2O）6（DMF） （p-sulfonatothiaca lix[4]arene）]-9H2O is reported. The complex belongs to the monoclinic system, space group P2 1/c, with a = 16.703（3）, b = 17.819（4）, c = 17.357（4）A, β = 106.23（3）°, Z = 4, V = 4960.0（17）A^3, Mr = 1304.08, Dc = 1.746 g/cm^3,μ= 1.624 mm^-1, F（000） = 2688, the final R = 0.0398 and wR = 0.1132 for 7534 observed reflections with I 〉 2σ（I）. One yttrium（Ⅲ） ion is coordinated by the thiacalixarene ligand via the sulfonato group, and also ligated by an oxygen atom of a DMF molecule occupying the cavity of thiacalixarene and six aqua ligands.

Simulation and optimization for synthetic technology of 2-chloro-4,6-dinitroresorcinol based on back-propagation neural network

Back-propagation neural network was applied to predict and optimize the synthetic technology of 2-chloro-4,6-dinitroresorcinol. A model was established based on back-propagation neural network using the experimental data of homogeneous design as the training sample set and the technological parameters were optimized by it. The optimal technological parameters are as follows： the reaction time is 4h, the reaction temperature is 80℃, the molar ratio of NaOH to 4,6-dinitro-1,2,3-trichlorobenzene is 5.5：1, the molar ratio of methanol to 4,6-dinitro-1,2,3- trichlorobenzene is 11：1, and the molar ratio of water to 4,6-dinitro-1,2,3-trichlorobenzene is 70：1. Under the optimal conditions, three groups of experiments were performed and the average yield of 2-chloro-4,6-dinitroresorcinol is 96.64%, the absolute error of it with the predicted value is -1.07%.

Investigation and Technological Comparison of 4G and 5G Networks

Mobile cellular data networks have allowed users to access the Internet whilst on the move. Many companies use this technology in their products. Examples of this would be Smart Meters in the home and Tesla cars having their “over the air updates”. Both of these two companies use the 4G and 5G technology. So this report will include a technical overview of the technology and protocols (LTE Advanced) used in 4G and 5G networks and how they provide services to the user and how data is transferred within the networks. And there are lots of different parts about the network architecture between the 4G and 5G systems. This report will talk about some different parts between these two systems and some challenges in them.

An Auto-configuration 4M Group Management using Wireless Sensor Networks for Reconfigurable Manufacturing System

The first tier of automotive manufacturers has faced to pressures about move,modify,updating tasks for manufacturing resources in production processes from demand response of production order sequence for motor company and process innovation purpose for productivity. For meets this requirements,it has to require absolutely lead time to re-wiring of physical interface for production equipment,needs for change existing program and test over again.For prepare this constraints,it needs studying an auto-configuration functions that build for both visibility and flexibility based on the 4M(Man,Machine,Material, Method)group management which is supports from WSN (Wireless Sensor Network)of the open embedded device called M2M(Machine to Machine)and major functions of middleware including point manager for real-time device communication,real-time data management,Standard API (Application Program Interface)and application template management.To be application system to RMS (Reconfigurable Manufacturing System)for rapidly response from various orders and model from motor company that is beginning to establishing the mapping of manufacturing resources of 4M using WSN.

ZIF-8@ZIF-67衍生的Co_(3)O_(4)-GN-CNT网络用作高性能锂离子电池负极

Co_(3)O_(4)由于较高的理论容量近年来被视为锂离子电池新型负极材料的热门候选之一,然而其较差的电导率和循环性能制约了其进一步发展。以ZIF-8@ZIF-67为自模板,三聚氰胺和g-C_(3)N_(4)为碳源,通过碳化和氧化处理制备了碳纳米管和石墨烯作为导电桥梁和外壳的Co_(3)O_(4)/C三维导电网络。颗粒纳米化的策略和锌的高温挥发造孔使其在0.5、2 A/g的电流密度下循环200、800圈后仍具有1 139.7、1 002.1 mAh/g的比容量,从0.2 A/g逐渐增大充放电的电流密度至10 A/g又恢复到0.2 A/g后比容量仍有初始容量的94.9%。该网络结构和同类材料相比表现出较为优异的循环和倍率性能。

Link Budget and Networking Analysis of FuTURE 4G TDD Trial System

The FuTURE 4G Time Division Duplex (TDD) trial system uses 3.5 GHz carrier frequency and several crucial technologies including broadband Multiple Input Multiple Output (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM). These technologies challenge the link budget and networking analysis of the FuTURE 4G TDD trial network. This paper analyzes the practical 3.5 GHz propagation model and the link budget of Radio Frequency (RF) parameters of the trial system. Moreover,it introduces networking analysis and network planning of the trial system,which combines the field test results of the MIMO system. The FuTURE 4G TDD trial system and its trial network have been accomplished with successful checkup. The trial system fulfills all the requirements with two Access Points (AP) and three Mobile Terminals (MT),which supports multi-user,mobility,a high peak rate of 100 Mb/s,High-Definition TV (HDTV),high-speed data download,and Voice over IP (VoIP) services.

ZTE Holds 1/4 Global CDMA Network Market Share

ZTE Corporation,a leading global provider of telecommunications equipment and network solutions,announced on July 30,2009 that it has been ranked as the second largest global CDMA network supplier with 25%

An Auto-Configuration of 4M Group Management Using Wireless Sensor Networks

The first tier of automotive manufacturers has faced to pressures about move, modify, updating tasks for manufacturing resources in production processes from demand response of production order sequence for motor company and process innovation purpose for productivity. For meets this requirements, it has to require absolutely lead time to re-wiring of physical interface for production equipment, needs for change existing program and test over again. For prepare this constraints, it needs studying an auto-configuration functions that build for both visibility and flexibility based on the 4M (Man, Machine, Material, Method) group management which is supports from WSN (Wireless Sensor Network) of the open embedded device called M2M (Machine to Machine) and major functions of middleware including point manager for real-time device communication, real-time data management, Standard API (Application Program Interface) and application template management. To be application system to RMS (Reconfigurable Manufacturing System) for rapidly response from various orders and model from motor company that is beginning to establishing the mapping of manufacturing resources of 4M using WSN.

ZTE Contributed to Launch of 4G Network of BASE Company in Belgium

4 November 2013,Shenzhen,China-ZTE Corporation,a publicly-listed global provider of telecommunications equip ment,network solutions and mobile devices,and BASE Company,the Belgian subsidiary of Dutch mobile operator KPN,have launched BASE Company＇s 4G services in Belgium.

FY-4 A/GIIRS反演夏冬季有云时大气温湿度廓线的精度评估

FY-4A/GIIRS(Geostationary Interferometric Infrared Sounder)首次实现了地球静止轨道红外高光谱探测,可以连续获得高垂直分辨率的大气温度和湿度廓线信息。当GIIRS视场内有云存在时,目前Level 2业务大气温湿度垂直廓线产品只提供观测视场内云顶以上高度的温度廓线,且不反演整个视场的湿度廓线。基于GIIRS辐射观测值用U-Net卷积神经网络算法实现了全天空大气温湿度廓线反演,包括晴空和全云覆盖视场,同时利用常规无线电探空观测资料对反演精度进行了检验。结果表明:U-Net算法有云视场的温湿度廓线反演能力与晴空相当,且夏季温度反演精度优于冬季,有利于灾害性天气多发季节的监测。在云系较活跃的夏季,随着视场内云量的增加温度廓线反演精度逐渐变高,表明该算法适用于有云时大气温度廓线反演,而湿度随着云量的增加反演均方根误差RMSE增大。视场内不同云光学厚度时温度反演误差相差不大,RMSE均在2.5 K左右,平均偏差ME在1 K以内,对流层高层薄云时反演误差相对而言较小。湿度反演随着云光学厚度的增大反演误差也增大,说明对于一定程度的薄云,GIIRS能够获得不错的反演精度。虽然U-Net算法物理意义不明确,但是能够快速实现全天空大气温湿度廓线反演,尤其在有云时能够获得更高的反演精度。

F5 Networks:助力中国4G市场

F5的解决方案不仅可以有效应对4G时代攀升的数据流量、智能终端、连接数等各种挑战，还可以与运营商的相关策略结合为用户提供差异化服务，提升营收 过去的一段时间里，全球LTE正在以超预期的速度发展。GSA数据显示。截止7月底全国共有200个LTE商用网络，且不断有新的LTE网络出现。预计2017年全球将会有超过10亿的LTE用户数。LTE给运营商带来了新的机会，但挑战同时存在。

基于网络药理学和分子对接探讨蒙药述达格-4治疗胃食管反流病的作用机制

目的:以蒙医理论对蒙药述达格-4的认识为依据,通过网络药理学和分子对接技术探讨述达格-4治疗胃食管反流病的作用靶点及其可能的作用机制。方法:通过TCMSP数据库及文献搜集述达格-4的有效活性成分及对应的靶蛋白,通过Uniprot数据库将其转化成相应的基因名称;通过GeneCard、OMIM、DrugBank数据库中预测胃食管反流病的作用靶点;通过Venny 2.1.0获取交集靶点;STRING数据库获取蛋白质相互作用(PPI)网络后导入Cytoscape 3.9.1软件获取核心靶点;利用Metascape数据库,进行基因本体(GO)功能和京都基因与基因组百科全书(KEGG)生物通路富集分析;在微生信在线平台进行绘制GO富集分析柱状图、KEGG通路富集气泡图;Cytoscape 3.9.1软件构建“药材-活性成分-靶点”及“关键活性成分-核心靶点-通路”网络;Autodock对关键活性成分和核心靶点进行分子对接。结果:通过限制口服吸收利用度(OB)、药物相似性(DL)的数值,共筛选出23种活性成分,作用于TNF,EGFR,PTGS2,PPARG和CCND1等关键靶点。通过调节PI3K-Ak、细胞衰老等信号通路治疗胃食管反流。分子对接显示,活性成分与核心靶点具有较好的结合活性,其中谷甾醇与核心靶点结合的最好。结论:本研究初步揭示了述达格-4中的活性成分高良姜素、山奈素、谷甾醇等能作用于多个靶点和调控多条通路来抑制炎症反应,对胃食管反流可能具有治疗作用。

风河公司与Cavium Networks联合推出支持OCTEON多内核MIPS64处理器的多内核设备软件优化解决方案

全球领先的设备软件优化（DSO）厂商风河系统公司与全球领先的网络、安全和嵌入式处理器解决方案供应商Cavium Networks公司日前共同宣布，Wind River Platform for Network Equipment、Linux Edition和Wind River VxWorks6、1已全面支持Cavium Networks的OCTEON多内核MllPS64处理器产品系列。

Design of an Interconnection Architecture and Sizing of Two (2) EPC Core Networks: The Case of Orange-Guinea

With the arrival of the 4G and 5G,the telecommunications networks have experienced a large expansion of these networks.That enabled the integration of many services and adequate flow,thus enabling the operators to respond to the growing demand of users.This rapid evolution has given the operators to adapt,their methods to the new technologies that increase.This complexity becomes more important,when these networks include several technologies to access different from the heterogeneous network like in the 4G network.The dimensional new challenges tell the application and the considerable increase in demand for services and the compatibility with existing networks,the management of mobility intercellular of users and it offers a better quality of services.Thus,the proposed solution to meet these new requirements is the sizing of the EPC(Evolved Packet Core)core network to support the 5G access network.For the case of Orange Guinea,this involves setting up an architecture for interconnecting the core networks of Sonfonia and Camayenne.The objectives of our work are of two orders:(1)to propose these solutions and recommendations for the heart network EPC sizing and the deployment to be adopted;(2)supply and architectural interconnection in the heart network EPC and an existing heart network.In our work,the model of traffic in communication that we use to calculate the traffic generated with each technology has link in the network of the heart.

Accelerating the Screening of Modified MA_(2)Z_(4) Catalysts for Hydrogen Evolution Reaction by Deep Learning-Based Local Geometric Analysis

Machine learning(ML)integrated with density functional theory(DFT)calculations have recently been used to accelerate the design and discovery of single-atom catalysts(SACs)by establishing deep structure–activity relationships.The traditional ML models are always difficult to identify the structural differences among the single-atom systems with different modification methods,leading to the limitation of the potential application range.Aiming to the structural properties of several typical two-dimensional MA_(2)Z_(4)-based single-atom systems(bare MA_(2)Z_(4) and metal single-atom doped/supported MA_(2)Z_(4)),an improved crystal graph convolutional neural network(CGCNN)classification model was employed,instead of the traditional machine learning regression model,to address the challenge of incompatibility in the studied systems.The CGCNN model was optimized using crystal graph representation in which the geometric configuration was divided into active layer,surface layer,and bulk layer(ASB-GCNN).Through ML and DFT calculations,five potential single-atom hydrogen evolution reaction(HER)catalysts were screened from chemical space of 600 MA_(2)Z_(4)-based materials,especially V_(1)/HfSn_(2)N_(4)(S)with high stability and activity(Δ_(GH*)is 0.06 eV).Further projected density of states(pDOS)analysis in combination with the wave function analysis of the SAC-H bond revealed that the SAC-dz^(2)orbital coincided with the H-s orbital around the energy level of−2.50 eV,and orbital analysis confirmed the formation ofσbonds.This study provides an efficient multistep screening design framework of metal single-atom catalyst for HER systems with similar two-dimensional supports but different geometric configurations.