Similarities between "Big Data" and Traditional Chinese Medicine information

In this paper,we analyze the four distinct characteristics of information on Traditional Chinese Medicine(TCM), namely epistemological information,phenomenon information, overall information, and time information. These characteristics bear to some extent strong similarity to the three characteristics of "Big Data", namely integrity data, fuzzy data and correlation data, so the advent of the age of "Big Data" is bound to create good opportunities for the development of TCM informatics and is also be expected to provide methods and techniques for processing and analysis of TCM "comprehensive data".

Update on Fengyun Meteorological Satellite Program and Development

China began to develop its meteorological satellite program since 1969.With 50-years’growing,there are 17 Fengyun(FY)meteorological satellites launched successfully.At present,seven of them are in orbit to provide the operational service,including three polar orbiting meteorological satellites and four geostationary meteorological satellites.Since last COSPAR report,no new Fengyun satellite has been launched.The information of the on-orbit FY-2 series,FY-3 series,and FY-4 series has been updated.FY-3D and FY-2H satellites accomplished the commission test and transitioned into operation in 2018.FY-2E satellite completed its service to decommission in 2019.The web-based users and Direct Broadcasting(DB)users keep growing worldwide to require the Fengyun satellite data and products.A new Mobile Application Service has been launched to Fengyun users based on the cloud technology in 2018.In this report,the international and regional co-operations to facilitate the Fengyun user community have been addressed especially.To strengthen the data service in the Belt and Road countries,the Emergency Support Mechanism of Fengyun satellite(FY_ESM)has been established since 2018.Meanwhile,a Recalibrating 30-years’archived Fengyun satellite data project has been founded since 2018.This project targets to generate the Fundamental Climate Data Record(FCDR)as a space agency response to the Global Climate Observation System(GCOS).At last,the future Fengyun program up to 2025 has been introduced as well.

Individual Patient Data Meta-Analysis Is Needed in Chinese Medical Research

Publication biases and collection limitations are the main disadvantages of a traditional meta-analysis based on aggregate patient data（APD）from published articles.Individual patient data（IPD）meta-analysis,as the gold standard of systematic review,is a possible alternative in this context.However,the publications relative to IPD meta-analyses are still rare compared with the traditional ones,especially in the research oriented to Chinese medicine（CM）.In this article,the strengths and detailed functioning of IPD meta-analysis are described.Furthermore,the need for IPD meta-analysis to assess the treatments based on CM was also discussed.Compared with the traditional APD meta-analysis,the IPD meta-analysis might give a more accurate and unbiased assessment and is worth to be recommended to CM researchers.

Standard Operating Procedures for Chinese Medicine Data Monitoring Committees of Clinical Studies

Although there is guidance from different regulatory agencies,there are opportunities to bring greater consistency and stronger applicability to address the practical issues of establishing and operating a data monitoring committee(DMC)for clinical studies of Chinese medicine.We names it as a Chinese Medicine Data Monitoring Committee(CMDMC).A panel composed of clinical and statistical experts shared their experience and thoughts on the important aspects of CMDMCs.Subsequently,a community standard on CMDMCs(T/CACM 1323-2019)was issued by the China Association of Chinese Medicine on September 12,2019.This paper summarizes the key content of this standard to help the sponsors of clinical studies establish and operate CMDMCs,which will further develop the scientific integrity and quality of clinical studies.

Environmental regulation and firms'performance:a quasi-natural experiment from China

This paper investigates whether environmental regulation affects firm's performance including productivity,wage and employment using firm-level data in 1996-2007.The identification uses Two Control Zones(TCZ)policy implemented by the Chinese government in 1998,in which tougher environmental regulations were imposed in TCZ cities but not others.By difference-indifferences estimation,we find that tougher environmental regulation leads to larger increase on both total factor productivity and wage,and firms tend to employ fewer workers under pressure of environmental protection.Heterogeneous tests show that the impacts are better for nonpollution intensive firms,non-exporters and SOEs.Finally,we find that R&D input and exiting firms among industry are the driving forces for enhancing TFP and increasing wage and unemployment.

Research on predicting prosodic parameters for Chinese synthesis by data mining approach

Prosodic control is an important part of speech synthesis system. Prosodic parameters choice right or wrong influences the quality of synthetic speech directly. At present, text to speech system has less effective describe to reflect data relationships in the corpus. A new research approach - data mining technology to discover those relationships by association rules modeling is presented. And a new algorithm for generating association rules of prosodic parameters including pitch parameters and duration parameters from corpus is developed. The output rules improve the correctness of syllable choice in text to speech system.

Regional inequality, spatial spillover effects, and the factors influencing city-level energy-related carbon emissions in China

Data show that carbon emissions are increasing due to human energy consumption associated with economic development. As a result, a great deal of attention has been focused on efforts to reduce this growth in carbon emissions as well as to formulate policies to address and mitigate climate change. Although the majority of previous studies have explored the driving forces underlying Chinese carbon emissions, few have been carried out at the city-level because of the limited availability of relevant energy consumption statistics. Here, we utilize spatial autocorrelation, Markov-chain transitional matrices, a dynamic panel model, and system generalized distance estimation(Sys-GMM) to empirically evaluate the key determinants of carbon emissions at the city-level based on Chinese remote sensing data collected between 1992 and 2013. We also use these data to discuss observed spatial spillover effects taking into account spatiotemporal lag and a range of different geographical and economic weighting matrices. The results of this study suggest that regional discrepancies in city-level carbon emissions have decreased over time, which are consistent with a marked spatial spillover effect, and a ‘club' agglomeration of high-emissions. The evolution of these patterns also shows obvious path dependence, while the results of panel data analysis reveal the presence of a significant U-shaped relationship between carbon emissions and per capita GDP. Data also show that per capita carbon emissions have increased in concert with economic growth in most cities, and that a high-proportion of secondary industry and extensive investment growth have also exerted significant positive effects on city-level carbon emissions across China. In contrast, rapid population agglomeration, improvements in technology, increasing trade openness, and the accessibility and density of roads have all played a role in inhibiting carbon emissions. Thus, in order to reduce emissions, the Chinese government should legislate to inhibit the effects of factors that promote the release of carbon while at the same time acting to encourage those that mitigate this process. On the basis of the analysis presented in this study, we argue that optimizing industrial structures, streamlining extensive investment, increasing the level of technology, and improving road accessibility are all effective approaches to increase energy savings and reduce carbon emissions across China.