俄语口语的分析化趋势

俄语就其语法意义的表达方式而言属于典型的综合语。近年来,俄罗斯社会的变化和发展推动了俄语的变化和发展,分析化是现代俄语发展的一个明显趋势。在语言的经济原则以及口语无准备性、直接性等特点的作用下,俄语口语中的分析语成分不断增长。一格的扩张是俄语口语中最为常见的言语现象。本文将从不同层面对一格的扩张现象进行分析,并由此探讨俄语口语的分析化趋势。

现代俄语中名词性的分析化趋势的发展

我们都知道,词法是语言内部较为稳定的层面,但其渐变过程在语言各发展时期始终存在,稳定并不意味着不变化,静止不变的事物是不存在的。语言体系包括:词法,句法等,其中词法变化的速度是相当的缓慢,对外力表现出很强的排斥性和抵御性,但任何活动在社会这个舞台上的语言,它都得适应社会的发展,都得跟上时代的脚步,否则,它就不能很好的为这个社会服务,这一点是毋庸置疑的。俄语中分析化趋势的发展是社会发展的一个必然要求。本文通过探讨现代俄语共性名词性的种种分析现象,展现了现代俄语词法中的分析化的发展趋势。

推进供电网格化服务步入互联网共享模式的趋势化分析

通过统计分析近年95598工单数据,发现客户服务需求量呈上升趋势,客户因对业务进度不清楚而引发的投诉、催办与意见工单量较大,因业务流程的局限性,导致服务评价数据的采集极不准确。供电网格化服务推广度与营配末端融合度不足,无法为客户提供专业化管家式的服务体验。现有热线式的服务模式,流程长、节点多,受人为因素影响大,服务效率的提升空间有限。区域客户对互联网+大供电服务的需求与日俱增。推动供电网格化服务步入互联网共享模式已势在必行。

Water quality changing trends of the Miyun Reservoir

In order to simulate changes in the water quality of the Miyun Reservoir dueto continuous descent of surface water level, a 3-D ecological hydrodynamic model was developedthrough coupling the water quality analysis simulation program (WASP) with the environmental fluiddynamics code (EFDC). The model was then calibrated and verified. Four scenarios (S1, S21, S22 andS23) were simulated using the model. Results show that the water quality of the Miyun Reservoirunder conditions of low surface water level is apparently affected by different amounts of inflowand different total phosphorus (TP) loadings. The chlorophyll-a concentration might exceed 10 μg/Lin many areas of the Miyun Reservoir (This limitative value is seen as a critical value ofeutrophication) when large loadings of TP enter due to the amount of inflow increasing. Results ofscenario S23 indicate that control of TP loadings can decrease chlorophyll-a concentrationeffectively, and the water quality of the Miyun Reservoir will improve or retain its status quo.

基于形态学的单词-文档谱聚类方法

本文利用形态学的方法确定聚类数目,并对单词-文档谱聚类方法进行改进.确定聚类数目主要分三个步骤:第一步将单词-文档谱聚类方法中产生的矩阵转换成可视化聚类趋势分析方法(visual assessment of tendency,VAT)灰度图,第二步利用灰度形态学、图像二值化、距离转换等图像处理技术过滤产生的VAT灰度图,第三步对过滤后的VAT灰度图建立信号图,并进行平滑处理,通过平滑后的信号图的波峰波谷数目确定文档集的聚类数目.实验表明,该方法能够提高单词-文档谱聚类方法的聚类效果.

ANALYSIS OF TEMPERATURE CHANGES IN JANUARY AND JULY IN CHINA

The temperature change trends in January and July are analyzed and the results show that the trends descend in July but ascend in January except in South China and Southwest China. The relation between the temperature in January and July are discussed by using the wavelet. The results show that the trend phase in July and January are nearly in-phase in Southwest and South China, but are out-of-phase in other regions. Reconstruction of original temperature series in each of the regions indicates that their change trends are consistent with the original temperature series.

Impacts of Global Warming Perturbation on Water Resources in Arid Zone: Case Study of Kaidu River Basin in Northwest China

The main goal of this study was to assess the long-term impacts of global warming perturbation on water resources of the Kaidu River Basin in Northwest China. Temperature, precipitation and hydrology data during the past 29 years from 1979 to 2007 were collected and analyzed using parametric and non-parametric methods, the connection between temperature and precipitation by the combination of grey correlation analysis method and the hypothesis testing for trend of climate change. The results show a high increase in temperature in the study area as well as an extreme and highly variable hydrological regime in this region, where flash floods can exceed the total runoff from a sequence of years. These variations may be due to the geographical location of the Kaidu River Basin in arid zone. It also reveals that precipitation has a much greater impact on stream flow than that of temperature. The development of new approaches was proposed as responses to climate change in this arid region.

ANALYSIS OF LONG TERM CHARACTERISTICS OF INTERANNUAL CHANGE OF TEMPERATURE IN DONGGUAN OVER THE RECENT 50 YEARS

With the series of annual and seasonal temperature during 1957 – 2001 in Dongguan, Guangdong, the statistical characteristic and power spectrum and secular trend and sudden change phenomena are computed in this paper. From the results it is known that (1) the temperatures have obvious characteristics of monsoon climate but do not have normal distribution, showing biased distribution of high or low kurtosis; (2) over the recent half- century, the temperatures tend to rise, specially in the last 10 years, in which mean temperature have quickly ascended by about 1.5°C, and except for the spring, there were sudden change of seasonal temperature rising from the 1980’s to 1990’s, which really reflected the influence of developing and opening and urbanization on Dongguan temperature; (3) except for the spring, the temperature of other seasons show some oscillatory periods in Dongguan and some of them also include long-term variation trends.

Free triiodothyronine level correlates with statin responsiveness in acute myocardial infarction

Background Although thyroid hormone （TH） has important effects on lipid metabolism, the relationship between TH and statin responsiveness has never been investigated. We hypothesize that TH plays an important role in statin responsiveness in patients with acute myocardial infarction （AMI）. Methods Consecutive 1091 hospitalized AMI patients in Fuwai hospital （Beijing, China） were enrolled into this current study. The study population was divided into three groups based on the intensity of statin treatment： low-intensity （n = 221）, moderate-intensity （n = 712） and high-intensity （n = 158）. Lipid levels were measured after statin therapy lasting for 10-14 days. The association between TH, lipid profile levels and achievement of low-density lipoprotein cholesterol （LDL-C） lowering goals was explored in patients with AMI on statin therapy. Results By general linear analysis, a significant linear trend between free triiodothyronine （FT3） and LDL-C level （linear coefficient r = -0.082, P = 0.001） and FT3 and total cholesterol （TC） level （r = -0.105, P = 0.031） was observed in the moderate-intensity statin group. A more apparent linear trend was detected in the high-intensity statin group （for LDL-C： r = -0.113, P = 0.005; for TC： r = -0.172, P = 0.029, respectively）. However, no significant correlation was observed in the low-intensity statin group. Compared with the low-FT3 group （defined as FT3 〈 1.79 pg/mL）, the OR （95% CI） for attaining a LDL-C 〈 3.0mmol/L was found to be 2.217 （1.001–4.839） in the higher FT3 group （〉 2.95 pg/mL）. The OR （95% CI） for attaining the more intensive goal （LDL-C 〈 1.8mmol/L） was 2.836 （1.014–5.182）. Conclusions Our study reveals that variation in FT3 levels is related to the cholesterol-lowering responsiveness of statins in AMI patients. These findings suggest that low FT3 may be a factor responsible for lack of LDL-C goal attainment and patients’ poor responsiveness to statin treatment.

Change Point Detection and Trend Analysis for Time Series

Trend analysis and change point detection in a time series are frequent analysis tools.Change point detection is the identification of abrupt variation in the process behaviour due to natural or artificial changes,whereas trend can be defined as estimation of gradual departure from past norms.We analyze the time series data in the presence of trend,using Cox-Stuart methods together with the change point algorithms.We applied the methods to the nearsurface wind speed time series for Australia as an example.The trends in near-surface wind speeds for Australia have been investigated based upon our newly developed wind speed datasets,which were constructed by blending observational data collected at various heights using local surface roughness information.The trend in wind speed at 10 m is generally increasing while at 2 m it tends to be decreasing.Significance testing,change point analysis and manual inspection of records indicate several factors may be contributing to the discrepancy,such as systematic biases accompanying instrument changes,random data errors(e.g.accumulation day error)and data sampling issues.Homogenization technique and multiple-period trend analysis based upon change point detections have thus been employed to clarify the source of the inconsistencies in wind speed trends.

Analysis on the exchange rate of Australian dollar

Australian dollar （AUD） maintains a fluctuant increase for long period, but in recent two years, this currency represents an anomalistic change. In order to forecast the trend of AUD, this essay examines the exchange rate of AUD in then years from March of 2000 to March of 2010, and argues the factors which create these trend changes. By means of secondary research and graphs analysis, the relevant evidence and argument was selected into four terms below： relative raw materials prices changes, relative domestic price level and Import-Expert changes, relative interest rate changes, and other factors. The examples based on the theoretics, graphs, statistics and experts＇ opinions.

Spatio-temporal Patterns of Vegetation Change in Kazakhstan from 1982 to 2015

The Normalized Difference Vegetation Index（NDVI）, as a key indicator of vegetation growth, effectively provides information regarding vegetation growth status. Based on the Global Inventory Monitoring and Modeling System（GIMMS） NDVI time series data for Kazakhstan from 1982 to 2015, we analyzed the spatial pattern and changes in the vegetation growth trend. Results indicated that the three main types of vegetation in Kazakhstan are cropland, grassland and shrubland, and these are distributed from north to south. While the regional distribution pattern is obvious, the vegetation index decreased from north to south. The average NDVI values of the three main vegetation types are in the order of cropland grassland shrubland. During the period from 1982 to 2015, the NDVI initially increased（1982–1992）, then decreased（1993–2007）, and then increased again（2008–2015）. The areas where NDVI decreased significantly accounted for 24.0% of the total land area. These areas with vegetation degradation are mainly distributed in the northwest junction between cropland and grassland, and in the cropland along the southern border. The proportions of total grassland, cropland and shrubland areas that were degraded are 23.5%, 48.4% and 13.7%, respectively. Areas with improved vegetation, accounting for 11.8% of the total land area, were mainly distributed in the mid-east cropland area, and the junction between cropland and grassland in the mid-east region.

Characterizing the Spatio-temporal Dynamics and Variability in Climate Extremes over the Tibetan Plateau during 1960–2012

Extreme climate events play an important role in studies of long-term climate change. As the Earth’s Third Pole, the Tibetan Plateau(TP) is sensitive to climate change and variation. In this study on the TP, the spatiotemporal changes in climate extreme indices(CEIs) are analyzed based on daily maximum and minimum surface air temperatures and precipitation at 98 meteorological stations, most with elevations of at least 4000 m above sea level, during 1960–2012. Fifteen temperature extreme indices(TEIs) and eight precipitation extreme indices(PEIs) were calculated. Then, their long-term change patterns, from spatial and temporal perspectives, were determined at regional, eco-regional and station levels. The entire TP region exhibits a significant warming trend, as reflected by the TEIs. The regional cold days and nights show decreasing trends at rates of-8.9 d(10 yr)-1(days per decade) and-17.3 d(10 yr)-1, respectively. The corresponding warm days and nights have increased by 7.6 d(10 yr)-1 and 12.5 d(10 yr)-1, respectively. At the station level, the majority of stations indicate statistically significant trends for all TEIs, but they show spatial heterogeneity. The eco-regional TEIs show patterns that are consistent with the entire TP. The growing season has become longer at a rate of 5.3 d(10 yr)^-1. The abrupt change points for CEIs were examined, and they were mainly distributed during the 1980 s and 1990 s. The PEIs on the TP exhibit clear fluctuations and increasing trends with small magnitudes. The annual total precipitation has increased by 2.8 mm(10 yr)^-1(not statistically significant). Most of the CEIs will maintain a persistent trend, as indicated by their Hurst exponents. The developing trends of the CEIs do not show a corresponding change with increasing altitude. In general, the warming trends demonstrate an asymmetric pattern reflected by the rapid increase in the warming trends of the cold TEIs, which are of greater magnitudes than those of the warm TEIs. This finding indicates a positive shift in the distribution of the daily minimum temperatures throughout the TP. Most of the PEIs show weak increasing trends, which are not statistically significant. This work aims to delineate a comprehensive picture of the extreme climate conditions over the TP that can enhance our understanding of its changing climate.

Research Status and Future Trends of Natural Resources and Sustainable Development in China: Visual Analysis based on CiteSpace

As an important foundation for promoting social progress and economic development, natural resources play an important role in the sustainable development of cities. However, the increasing demand of human beings for natural resources has led to various ecological environmental problems, such as excessive population density, serious environmental pollution, the continuous decline of total natural resources and per capita resources, all of which have hindered sustainable development. Therefore, the study of natural resources and sustainable development has become the focus of many current scholars. In this paper, CiteSpace is used as an analysis tool to analyze the literature on natural resources and sustainable development over the past 20 years. First of all, this paper deeply analyzes the research status of this field in terms of academic research trends, authors and research institutions, co-occurrence of keywords, etc., and on this basis, it then deeply analyzes its evolutionary path and research hot spots in the past 20 years through keyword emergence. Finally, according to the visualization of the analysis results, the future development trends of this research field are speculated:(1) Grasp the current research focus;(2) Improve the research accuracy;(3) Enrich the theoretical system of research;and(4) Establish an interdisciplinary research system.

Spatial Distribution and Dynamic Changes in Research Hotspots for Desertification in China based on Big Data from CNKI

Desertification research plays a key role in the survival and development of all mankind.The Normalized Comprehensive Hotspots Index(NCH)is a comprehensive index that reveals the spatial distribution of research hotspots in a given research field based on the number of relevant scientific papers.This study uses Web Crawler technology to retrieve the full text of all Chinese journal articles spanning the 1980s-2018 in the Chinese Academic Journal full-text database(CAJ)from CNKI.Based on the 253,055 articles on desertification that were retrieved,we have constructed a research hotspot extraction model for desertification in China by means of the NCH Index.This model can reveal the spatial distribution and dynamic changes of research hotspots for desertification in China.This analysis shows the following:1)The spatial distribution of research hotspots on desertification in China can be effectively described by the NCH Index,although its application in other fields still needs to be verified and optimized.2)According to the NCH Index,the research hotspots for desertification are mainly distributed in the Agro-Pastoral Ecotone and grassland in Inner Mongolia,the desertification areas of Qaidam Basin in the Western Alpine Zone and the Oasis-Desert Ecotone in Xinjiang(including the extension of the central Tarim Basin to the foothills of the Kunlun Mountains,the sporadic areas around the Tianshan Mountains and the former hilly belt of the southern foothills of the Altai Mountains).Among these three,the Agro-Pastoral Ecotone in the middle and eastern part of Inner Mongolia includes the most prominent hotspots in the study of desertification.3)Since the 1980s,the research hotspots for desertification in China have shown a general downward trend,with a significant decline in 219 counties(10.37%of the study area).This trend is dominated by the projects carried out since 2002.The governance of desertification in the eastern part of the Inner Mongolia-Greater Khingan Range still needs to be strengthened.The distribution of desertification climate types reflects the distribution of desertification in a given region to some extent.The Normalized Comprehensive Hotspots Index provides a new approach for researchers in different fields to analyze research progress.