Y型聚乙二醇干扰素琢-2b注射液治疗HCV基因2/3型慢性丙型肝炎患者疗效和安全性的多中心随机对照试验研究

目的以标准剂量的聚乙二醇干扰素(Peg IFN)α-2a联合利巴韦林作为阳性对照,评价新型试验药物Y型Peg IFNα-2b注射液联合利巴韦林治疗2型/3型慢性丙型肝炎(CHC)患者的疗效和安全性。方法采用多中心、随机开放、阳性药对照的Ⅲ期临床试验,筛选符合要求的2型/3型CHC患者,按照2:1的比例随机分配到Y型Peg IFNα-2b组和Peg IFNα-2a组,同时口服利巴韦林,疗程24 w,停药随访24 w。采用Abbott Real Time HCV Genotype II检测HCV基因型,采用Cobas Taq Man实时定量PCR法检测血清HCV RNA水平。详细记录不良事件。主要疗效指标为持续病毒学应答(SVR),并进行非劣效检验。结果本试验实际入组2型/3型CHC患者255例,实际治疗241例。全分析集(FAS)数据显示,158例试验组和83例对照组患者SVR分别为85.4%(95%CI 79.94%~90.94%)和79.5%(95%CI 70.84%~88.20%,P=0.2402);对符合方案分析集(PPS)人群分析显示,试验组和对照组患者SVR分别为87.9%(95%CI 82.45%~93.27%)和85.9%(95%CI 77.82%~94.01%,P=0.7060),率差的95%可置信区间均符合非劣效标准;对PPS人群分析显示,85.8%受试者获得了早期病毒学应答(RVR),RVR的阳性预测值为90.1%;试验组和对照组不良事件发生率相似,分别为95.6%和95.2%,严重不良事件发生率分别为3.8%和3.6%。结论应用Peg IFNα联合利巴韦林治疗2型/3型CHC患者,新型试验药物Y型Peg IFNα-2b具有与对照药物Peg IFNα-2a相似的疗效和安全性。国家科技部“十二五”重大专项(编号:2012ZX10002-003)；“重大新药创制”十二五科技重大专项(编号:2012ZX09303019)

关于“经济发展方式转变进程中的财税政策”的探讨(笔谈)

转变经济发展方式是当前中国的热门话题,而上海在城市发展中又肩负着率先转变的重要任务,在这一意义和背景下,2010年4月24日由上海金融学院学院主办、上海金融学院公共经济管理学院承办的“《中国城市财政发展报告2009/2010:促进‘两个中心’建设的上海城市财政》首发式暨‘经济发展方式转变进程中的财税政策’论坛“在我校举行。与会专家围绕经济发展方式转变进程中的财税政策的“趋势与目标“、“机遇和挑战“、“实施方略“和“地方实践“等四个专题进行研讨,各抒己见,智慧交锋。现将其真知灼见整理摘要与读者分享,以期待更多学者共同关注当前经济发展方式转变进程中的财税政策

基于 GNSS-RTK 与无人船的近海水深测量与海底地形构建

Coastal bathymetry is of great significance for coastal bathymetry mapping, integrated topographic construction of coastal zones, and monitoring of coastal erosion and deposition. Based on the research status of coastal bathymetry, the system composition of the unmanned surface vehicle (USV) and the principle of bathymetry without tide are expounded. Taking the coastal waters of Qinhuangdao as an example, we carried out coastal bathymetry and seabed topography construction based on USV platform and network RTK technology. The results show that USVs can achieve high-precision measurement of water depth, meet the precision requirements of measurement specifications, and can be popularized and applied in coastal bathymetric and topographic survey

Assessment of the bathymetry and ability to withstand wind and waves in shallow waters for unmanned surface vessels

Traditional survey vessels can not perform bathymetry in shallow waters due to their large draft values. Unmanned surface vessels(USV) with small draft values provide new solutions for bathymetry in shallow waters. Using USV,non-tide sounding and network GNSS RTK technology,the bathymetry experiments in shallow waters are performed under different wind and waves conditions. The ability of USV to withstand wind and waves while working in shallow waters is quantitatively assessed from path tracking precision and bathymetry accuracy. The results show that wave height of 0 ~ 0.3 m and wind level of 0 ~ 2 are the reasonable threshold for bathymetry in shallow waters using USV. The USV with non-tide sounding technology can achieve high-precision measurement of bathymetry in shallow waters,and the accuracy can meet the requirements of relevant sounding specifications under reasonable wind and waves conditions. USV has broad application prospects in bathymetry and seabed topography survey in shallow waters

地理计算的主动性研究

本文从认知科学角度,探讨了有关人类思维的能动意象思维理论,揭示了意象图式对于能动意象思维的决定性作用;以意象图式为切入点,通过对于MacEachren建立的地图可视化扩展特征ID模型的分析,研究了以空间意象图式为"引擎"的地理能动意象分析方法;基于不同空间规模下人类感知/认知能力的差异,通过对空间特征、空间对象与空间格局的研究,建立了地理空间"特征-对象-格局"意象图式;以易康(eCognition)影像分析软件为分析案例,论述了空间意象图式在易康软件影像分析过程中的应用、表现与特点

Land Use Change and Its Influence on Coastline Change Along Laizhou Bay During 1987-2017

[Objective] The land use change and its influence on coastline change along Laizhou Bay was illustrated in order to provide land use data support for the government and relevant departments in coastline planning. [Methods] The land-use and land-cover change (LUCC) information of the coastwise area of Laizhou Bay and spatial distribution of coastlines from 1987 to 2017 was extracted, and land use degree index was calculated. Then the digital shoreline analysis system (DSAS) was used to calculate the adjacent phase change rate of coastlines. By the tool of overlay in ArcGIS, the factors which influence the change rate and length of coastlines were obtained. [Results]① The area of aquaculture land, salt farm land and construction land had increased gradually from 1987 to 2017; and the area of inland water had increased on the whole; the area of bare land had decreased; and the area of grassland and cultivated land had increased and then decreased; the change of forest land had not been obvious.② The land use degree had gradually become stronger, the land use degree with strong grade had changed from scattered distribution to centralized facet distribution.③ Land use had affected the change rate of coastline in the form of reclamation of the sea. The enclosed sea and artificial making grounds within Laizhou Bay had pushed the coastlines to the sea; The coastline of the Yellow River delta had been pushed to the sea by the sedimentation of the Yellow River and the backsea movement of the coastlines had mainly been affected by seawater. [Conclusion] The land use along Laizhou Bay had changed obviously, and the degree of land use had been getting stronger. Land use affected the change rate of coastline in the form of reclamation of the sea, which made the coastline both advance to the sea and move back to the sea. Bare land and aquaculture land were the leading factors influencing coastline length from 1987 to 2005, while construction land and bare land were the leading factors influencing coastline length from 2005 to 2017

DRONE-BASED MONITORING ON GREEN TIDE ALONG COASTAL TOURISM AREA

RGB images were taken by a drone-borne camera and analyzed using four-color indices to monitor and identify green tide in the coastal scenic area in Haiyang, Shandong. Monitoring indices in different locations were specified. The results show that the characteristic values of G-band are greater than the other bands' and the color indices could be used for green tide monitoring. For different places of the green tide outbreak, NGBDI (normalized green-blue difference) index is applicable for monitoring floating green tide at sea, and GLI (green leaf index) index for green tide monitoring on beach