TT3、TT4、Hcy、Cys C预测脑小血管病认知损害的价值及意义

目的探讨总三碘甲状腺原氨酸(TT3)、总甲状腺素(TT4)、同型半胱氨酸(Hcy)、胱抑素C(Cys C)预测脑小血管病认知损害的价值及意义。方法选取2019年2月至2021年1月收治的脑小血管病患者129例,根据6个月内是否发生脑小血管病相关认知障碍(CSVD-VCI)分为障碍组(n=45)和无障碍组(n=84),比较2组基线资料、入院时、3个月后TT3、TT4、Hcy、Cys C、简易智力状态检查量表(MMSE)评分,应用Pearson及偏相关性分析TT3、Hcy、Cys C与MMSE评分关系,采用受试者工作特征曲线(ROC)及ROC下面积(AUC)分析TT3、Hcy、Cys C及联合预测CSVD-VCI价值。结果障碍组高血压、脑白质高信号、静息性脑梗死、脑微出血患者占比高于无障碍组(P<0.05);障碍组入院时、3个月后TT3、MMSE评分低于无障碍组,Hcy、Cys C高于无障碍组(P<0.05);入院时、3个月后TT3与MMSE评分呈正相关,Hcy、Cys C与MMSE评分呈负相关(P<0.05);控制了高血压、脑白质高信号、静息性脑梗死、脑微出血后,入院时、3个月后TT3、Hcy、Cys C均与MMSE评分相关(P<0.05);3个月后各指标及联合的AUC大于入院时各指标及联合对应的AUC。结论TT3、Hcy、Cys C与CSVD患者认知损害的发生有关,联合检测可作为预测认知损害的有效方案,为临床防治CSVD-VCI提供参考。

Selection of the best initial orbital elements of satellite based on fuzzy integration evaluation method

The fuzzy integration evaluation method （FIEM） is studied in order to select the best orbital elements from the multi-group initial orbits determined by a satellite TT＆C （Tracking, Telemetry and Control） center with all kinds of data sources. By employing FIEM together with the experience of TT＆C experts, the index system to evaluate the selection of the best initial orbits is established after the data sources and orbit determination theories are studied. Besides, the concrete steps in employing the method are presented. Moreover, by taking the objects to be evaluated as evaluation experts, the problem of how to generate evaluation matrices is solved. Through practical application, the method to select the best initial orbital elements has been proved to be flexible and effective The originality of the method is to find a new evaluation criterion （comparing the actually tracked orbits） replacing the traditional one （comparing the nominal orbits） for selecting the best orbital elements.

A Case Study of Impact of FY-2C Satellite Data in Cloud Analysis to Improve Short-Range Precipitation Forecast

Chinese FengYun-2C(FY-2C) satellite data were combined into the Local Analysis and Prediction System(LAPS) model to obtain three-dimensional cloud parameters and rain content. These parameters analyzed by LAPS were used to initialize the Global/Regional Assimilation and Prediction System model(GRAPES) in China to predict precipitation in a rainstorm case in the country. Three prediction experiments were conducted and were used to investigate the impacts of FY-2C satellite data on cloud analysis of LAPS and on short range precipitation forecasts. In the first experiment, the initial cloud fields was zero value. In the second, the initial cloud fields were cloud liquid water, cloud ice, and rain content derived from LAPS without combining the satellite data. In the third experiment, the initial cloud fields were cloud liquid water, cloud ice, and rain content derived from LAPS including satellite data. The results indicated that the FY-2C satellite data combination in LAPS can show more realistic cloud distributions, and the model simulation for precipitation in 1–6 h had certain improvements over that when satellite data and complex cloud analysis were not applied.

Using multi-satellite microwave remote sensing observations for retrieval of daily surface soil moisture across China

The objective of this study was to retrieve daily composite soil moisture by jointly using brightness temperature observations from multiple operating satellites for near real-time application with better coverage and higher accuracy.Our approach was to first apply the single-channel brightness radiometric algorithm to estimate soil moisture from the respective brightness temperature observations of the SMAP,SMOS,AMSR2,FY3B,and FY3C satellites on the same day and then produce a daily composite dataset by averaging the individual satellite-retrieved soil moisture.We further evaluated our product,the official soil moisture products of the five satellites,and the ensemble mean (i.e.,arithmetic mean) of the five official satellite soil moisture products against ground observations from two networks in Central Tibet and Anhui Province,China.The results show that our product outperforms the individual released products of the five satellites and their ensemble means in the two validation areas.The root mean square error (RMSE ) values of our product were 0.06 and 0.09 m3/m3 in Central Tibet and Anhui Province,respectively.Relative to the ensemble mean of the five satellite products,our product improves the accuracy by 9.1% and 57.7% in Central Tibet and Anhui Province,respectively.This demonstrates that jointly using brightness temperature observations from multiple satellites to retrieve soil moisture not only improves the spatial coverage of daily observations but also produces better daily composite products.

Chinese GF-1 and GF-3 satellites observed the giant iceberg calving off the Larsen C Ice Shelf

A massive iceberg, named A-68 by National Ice Center （NIC） officially, calved away from the Larsen C Ice Shelf in Antarctica on luly 12, 2017. The iceberg A-68 is about 5 800 km2, weighs more than a trillion tons and it is one of the biggest ever recorded icebergs. Chinese satellites Gaofen-1 （GF-1） and Gaofen-3 （GF-3） data was used to monitoring the propagation of the rift and the iceberg by National Satellite Ocean Application Service （NSOAS）.

COMPARISON OF TWO METHODS IN SATELLITE FORMATION FLYING

Recently, the research of dynamics and control of the satellite formation flying has been attracting a great deal of attentions of the researchers. The theory of the research was mainly based on Clohessy-Wiltshire' s (C-W's) equations, which describe the relative motion between two satellites. But according to some special examples and qualitative analysis , neither the initial parameters nor the period of the solution of C-W' s equations accord with the actual situation, and the conservation of energy is no longer held. A new method developed from orbital element description of single satellite , named relative orbital element method ( ROEM) , was introduced. This new method, with clear physics conception and wide application range, overcomes the limitation of C-W s equation , and the periodic solution is a natural conclusion. The simplified equation of the relative motion is obtained when the eccentricity of the main satellite is small. Finally, the results of the two methods (C-W' s equation and ROEM) are compared and the limitations of C-W s equations are pointed out and explained.

Ocean Observation from Haiyang Satellites

In 2018,China successfully launched three new Haiyang(which means ocean in Chinese,referred to as HY)satellites which are an ocean color observation satellite HY-1C(operational),an ocean dynamics environment satellite HY-2B(operational)and the China-France ocean satellite CFOSAT(experimental).In 2019,all the three satellites had finished their commissioning phases and were declared operational.HY-2A satellite continues to operate in-orbit,and its operational status is basically normal.So in 2020,China has 4 Haiyang satellites in-orbit,China’s ocean satellites enter into a new operational application phase.The operation of the ground application system of Chinese ocean satellites is stable.In 2019,Beijing,Hainan,Mudanjiang,and Hangzhou ocean satellite ground stations had received the data of HY-1C,HY-2A,HY-2B,and CFOSAT 5012 orbits and 26.46 TB data had been distributed to both domestic and international users.Chinese ocean satellite data has played an important role in marine disaster prevention and mitigation,development and management of marine resources,maintenance of marine rights and interests,marine environment protection,scientific researches,and blue economy development.

FCM测站定权的LAGEOS-2卫星精密定轨影响分析

由于卫星激光测距(satellite laser ranging, SLR)台站的测距精度和稳定性存在差异,精密定轨中需要对不同性能的台站赋予不同权重。本文将模糊C均值(fuzzy C-means, FCM)聚类定权应用于LAGEOS-2精密定轨,并比较原始测站定权和FCM定权对轨道精度的影响。结果表明:1)相较于原始测站定权,FCM定权更能反映各SLR台站的性能,提高定轨精度和观测值数量;2)对于ILRS四个质量分析机构,原始测站定权下JCET发布的质量报告在定轨精度上略优于其他中心,采用FCM定权后,以4个机构发布的质量报告进行定轨的结果在同一水平,轨道精度为4.83~4.86 cm。

Algorithm for the Sea Surface Wind Imaging Products of Fengyun-3C Meteorological Satellite MWRI

This paper analyzes the sea surface backward thermal radiation data in the China Sea observed by the mmwave channel of FY3 MWRI, explains the reason for which the analysis method combined with multiple mmwave channels is conducive to wind inversion, uses the complex model of the two-scale randomly rough surface with foam scattering layer to calculate the backward heat emission, analyzes the different response characteristics of the thermal radiation characteristics of each channel with the change of the sea surface wind speed, and establishes the wind speed inversion model applying to the microwave radiometer, achieving better results than in previous studies. The sea surface medium-low wind speed precision standard deviation of new model reaches 1.2 m/s (0 - 15 m/s);the inversion strong wind data are consistent with the island fixed buoys data, and the global sea surface wind speed image schematic diagram is given.

基于C-LAMBDA算法的GNSS相对定位增强方法

针对相对定位场景下载体天线间先验基线信息利用不充分问题,提出基于约束的最小二乘模糊度降相关平差算法(C-LAMBDA)的全球卫星导航系统(GNSS)相对定位增强方法:对于双天线载体,采用C-LAMBDA算法进行基线长度约束的定向解算,将求解得到的模糊度向量和基线矢量作为先验信息融入相对定位观测方程,从而将基线长度先验信息辅助提升解算效果的先天优势从测姿领域扩展到相对定位领域,由此给出基于C-LAMBDA算法的GNSS相对定位增强模型;通过推导相对定位增强模型糊度精度因子(ADOP)与传统单天线载体相对定位模型ADOP的数学关系,从理论上揭示了增强模型对于模糊度浮点解精度的提升作用。仿真与实测试验结果表明,与传统单天线载体相对定位相比,该方法在不同可视卫星数观测条件下均能够提高模糊度浮点解的精度,有效提升模糊度解算成功率,从而增强相对定位的可靠性。

LM-2C Successfully Launched Yaogan 30-01 Satellites

The LM-2C launch vehicle lifted off from the Xichang Satellite Launch Center with the Yaogan 30-01 satellites （3 satel- lites with one rocket） at 12：21 Beijing time on September 29. The satellites en- tered their preset orbits. It was the 25 I st flight of the LM series launch vehicle.

FY-2F Meteorological Satellite Successfully Launched

At 08:56 on January 13,a LM-3A launch vehicle launched into space FY-2F,the fourth operational geostationary meteorological satellite independently developed by China,from the Xichang Satellite Launch Center.24 minutes after the lift-off,data received from the Xi'an Satellite TT&C Center and the

Geophysical Modeling with Satellite Gravity Data: Eigen-6C4 vs. GGM Plus

Satellite data sets are an asset in global gravity collections;their characteristics vary in coverage and resolution. New collections appear often, and the user must adapt fast to their characteristics. Their use in geophysical modeling is rapidly increasing;with this in mind we compare two of the most densely populated sets: EIGEN-6C4 and GGMplus. We characterize them in terms of their frequency histograms, Free Air anomalies, power spectrum, and simple Bouguer anomalies. The nature of the digital elevation models used for data reduction is discussed. We conclude that the GGMplus data set offers a better spatial resolution. To evaluate their effect in geophysical modelling, we chose an inland region with a prominent volcanic structure in which we perform 3D inversions of the respective Bouguer anomalies, obtaining density variations that in principle can be associated with the geologic materials and the structure of the volcanic edifice. Model results are analyzed along sections of the inverted data;we conclude that the GGMplus data set offers higher resolution in the cases analyzed.

LM-2C Launched Two Sets of Yaogan 30 Satellites

LM-2C launch vehicles launched two sets of Yaogan 30 satellites from the Xichang Satellite Launch Center respectively on November 25 and December 26.The second one was the last launch mission carried out by CASC in 2017.LM-2C was developed by the China Academy of Launch Vehicle Technology.It is the only one among the LM series launch vehicle that can conduct flight missions from the three inland launch sites.

HJ-1C Satellite for Environmental and Disaster Monitoring Launched into Orbit

A LM-2C launch vehicle was launched from the Taiyuan Satellite Launch Center on November 19, 2012, carrying HJ-1C, a technology demonstration satellite and the Fengniao satellite. The three satellites were placed to the preset orbits respectively. Developed by DFH Satellite Co., Ltd., HJ-1C is a SAR Earth observation satellite for civilian use, which

LM-3B/E Launched Eutelsat's W3C Satellite

At 16:21 Beijing time on October 7,2011,China successfully launched the W3C commercial telecommunications satellite manufactured by Thales Alenia Space for Eutelsat Communications into geostationary transfer orbit by using an enhanced LM-3B (LM-3B/E) launch vehicle from Xichang Satellite Launch Center.

基于遗传算法的TT&C测控资源优化调度(英文)

TT&C测控资源调度是一个涉及卫星、测控站以及调度准则等多方面因素的复杂优化问题。针对这一优化问题,根据测控调度的一般原则和优化准则,建立了相应的优化模型,并给出了基于遗传算法求解该问题的方法和步骤;最后,通过两个示例分析,演示验证了该方法对于解决一般测控调度问题的有效性。

带局部交互的多星TT&C调度合作协同进化

针对现有合作协同进化机制较少利用局部协同信息的问题,通过对多星TT&C资源调度的合作协同进化求解进行改进,在全局协同的基础上加强局部交互,为每个个体设定一个表明其与所有相邻子种群合作效果的进化性能指标——局部交互值,将该值作为选择操作中衡量个体优劣的尺度之一,以局部交互值与各子适应度之和的差值决定个体变异率,使变异具有自适应性,从而减少由子种群代表个体选择的非全局性造成的优秀个体丢失现象。仿真实验结果表明该方法能较好地提高求解质量。

C群奈瑟氏脑膜炎球菌荚膜多糖-TT结合疫苗的制备及其在小鼠体内免疫原性的研究

将C群脑膜炎球菌荚膜多糖以ADH作为间隔剂与TT结合形成GCMP-TT结合疫苗,然后用此结合疫苗免疫NIH小鼠,结果显示使用GCMP免疫小鼠后仅能产生较低水平抗GCMP的IgG抗体,而用GCMP-TT免疫后小鼠血清中产生了较GCMP免疫显著增高抗GCMP的IgG抗体,并且GCMP-TT组第二次和第三次免疫后与初次免疫相比,IgG抗体水平均有显著升高(P<0.01),表明GCMP-TT结合疫苗具有免疫记忆和再次免疫加强应答效应。补体介导的血清抗体体外杀菌试验结果证明,GCMP-TT结合疫苗组免疫小鼠诱导的抗体IgG比GCMP组具有增强的体外杀菌活性。

JiTT—Blending Learning理念下的C++课程特色网站开发

Ji TT充分体现了Blending Learning的本质特点,把传统学习方式的优势和E-Learning(即网络化学习)的优势结合起来。Ji TT—Blending Learning理念下的C++课程特色网站突破了时间和空间的限制,将多种教学媒体、资源、情境混合,建立了课堂学习和网络学习相结合的模式,给教师和学生提供了一个方便、高效的通过网络教与学C++课程的平台。