Composition of sandstone and heavy minerals implies the provenance of Kuqa Depression in Jurassic, Tarim basin, China

The petrological characteristics and heavy mineral assembly of the Jurassic System in Kuqa Basin are consistent with the tectonic evolution, which is the major factor controlling the filling process of Kuqa Basin. Controlled by the source areas at the both sides of the Basin, the matrixes are dominated by sedimentary rock, high-grade metamorphic rock, acid magmatic rock, and the highest heavy mineral assemblage of zircon-garnet-magnetite in the content. According to heavy mineral indexes, the Jurassic strata can be classified into three rhythmic units of heavy mineral. The lower sequence contains abundant heavy minerals and relatively high content of detritus and its matrixes primarily came form the recycling orogen. The assemblage of “zircon-garnet-magnetite” indicates that the sedimentary area in the early evolution period of the basin is relatively near the provenance. The middle sequence is different from the lower sequence in the heavy mineral assemblage and has the different characteristics from that of source rock. The heavy mineral assemblage is “garnet-zircon” with the highest content of garnet and its main matrices are the high-grade metamorphic rock, acid magmatic rock and hydrothermal vein at the northeastern edge of the basin. The middle and upper sequences are characterized by the clast provenance, which is primarily from the recycling orogen at the northern edge of the basin and secondarily from the southern uplift. As a result of the two provenances, the strata with apparent changes of heavy mineral assemblage and index better coincides with the interfaces of the secondary strata sequences, which reflects the denudation history and the filling process of the orogen at the northern edge of the basin.     

诱发核部件裂变探测技术仿真研究

寻求科学有效的核物质核查技术与方法,对防止核扩散、处理核材料具有重要意义。在分析核部件属性、探测原理及相关探测方法的基础上,利用模拟数据通过Matlab软件仿真比较了不同形式的平均修正算法,即:Bartlett法、Welch法和Nuttall法,结果表明:结合了平均和平滑特性的Nuttall法的方差性能、分辨率较好、运算量较小,更能准确、有效地反映核裂变信号的相关特征参数。     

新场地区气田水化学特征及处理途径研究

对新场地区气田水的产出特点、产量和水质进行了初步研究，认为该气田水有用组分含量丰富，碘、溴等可回收利用，并结合该地区的地质构造特点提出气田水的处理途径是综合利用或向地下回灌。研究认为川绵３９井地质条件优越，应是回灌的首选地区     

沙棘属植物天然产物化学组分的时空分布

沙棘属植物富含维生素、类胡罗卜素、黄酮类、甾醇、挥发油、５－羟色胺、超氧化物歧化酶、氨基酸、脂肪酸、有机酸和糖以及向量元素等１２类约３００余种化合物。分别以类群的进化顺序、海拔的高低、韧度的升高、经度的东移、果实的发育进程，以及实果的实采收期、每类成分中具体组分、年降水量、果实大小等为横坐标，以其含量为纵坐标，以图解的方式，探讨主要生物活成分在不同类群不同部位的时空分布规律。     

Constructing and evaluating core inflation measures from component‐level inflation data

This paper undertakes a comprehensive examination of 10 measures of core inflation and evaluates which measure produces the best forecast of headline inflation out‐of‐sample. We use the Personal Consumption Expenditure Price Index as our measure of inflation. We use two sets of components (17 and 50) of the Personal Consumption Expenditure Price Index to construct these core inflation measures and evaluate these measures at the three time horizons (6, 12 and 24 months) most relevant for monetary policy decisions. The best measure of core inflation for both sets of components and over all time horizons uses weights based on the first principal component of the disaggregated (component‐level) prices. Interestingly, the results vary by the number of components used; when more components are used the weights based on the persistence of each component is statistically equivalent to the weights generated by the first principal component. However, those forecasts using the persistence of 50 components are statistically worse than those generated using the first principal component of 17 components. The statistical superiority of the principal component method is due to the fact that it extracts (in the first principal component) the common source of variation in the component level prices that accurately describes trend inflation over the next 6–24 months.     

Prediction from the One‐Way Error Components Model with AR(1) Disturbances

In this paper we extend the works of Baillie and Baltagi (1999, in Analysis of Panels and Limited Dependent Variables Models, Hsiao C et al. (eds). Cambridge University Press: Cambridge, UK; 255–267) and generalize certain results from the Baltagi and Li (1992, Journal of Forecasting 11 : 561–567) paper accounting for AR(1) errors in the disturbance term. In particular, we derive six predictors for the one‐way error components model, as well as their associated asymptotic mean squared error of multi‐step prediction in the presence of AR(1) errors in the disturbance term. In addition, we also provide both theoretical and simulation evidence as to the relative efficiency of our alternative predictors. The adequacy of the prediction AMSE formula is also investigated by the use of Monte Carlo methods and indicates that the ordinary optimal predictor performs well for various accuracy criteria. Copyright © 2011 John Wiley & Sons, Ltd.     

Henderson‐Trending of Macroeconomic Variables and Forecasting Accuracy

Using a structural time‐series model, the forecasting accuracy of a wide range of macroeconomic variables is investigated. Specifically of importance is whether the Henderson moving‐average procedure distorts the underlying time‐series properties of the data for forecasting purposes. Given the weight of attention in the literature to the seasonal adjustment process used by various statistical agencies, this study hopes to address the dearth of literature on ‘trending’ procedures. Forecasts using both the trended and untrended series are generated. The forecasts are then made comparable by ‘detrending’ the trended forecasts, and comparing both series to the realised values. Forecasting accuracy is measured by a suite of common methods, and a test of significance of difference is applied to the respective root mean square errors. It is found that the Henderson procedure does not lead to deterioration in forecasting accuracy in Australian macroeconomic variables on most occasions, though the conclusions are very different between the one‐step‐ahead and multi‐step‐ahead forecasts. Copyright © 2011 John Wiley & Sons, Ltd.     

甘薯叶的营养成份与应用前景

文章主要系统阐述了甘薯叶的营养成份,综述近年来国内外对红薯茎叶化学成分分析,介绍了其中具有生物活性的成分以及提取物在医疗保健作用等方面的研究进展,同时展望了甘薯叶的应用价值及发展前景。     

影响非球面面形精度的因素分析

根据国内外非球面零件加工难的现状,其根本原因在于多数非球面光学零件很难找到可作为加工依据的准确轨迹,同时也很难找到使轨迹在加工过程中精确转移的方法。而且在加工中,保证面形精度也是最难的问题。本论文主要就非球面面形精度进行探讨。根据等距线公式建立了数学模型,得出保证加工精度时对截取参数选择的方法。     

A unified view of statistical forecasting procedures

A large number of statistical forecasting procedures for univariate time series have been proposed in the literature. These range from simple methods, such as the exponentially weighted moving average, to more complex procedures such as Box–Jenkins ARIMA modelling and Harrison–Stevens Bayesian forecasting. This paper sets out to show the relationship between these various procedures by adopting a framework in which a time series model is viewed in terms of trend, seasonal and irregular components. The framework is then extended to cover models with explanatory variables. From the technical point of view the Kalman filter plays an important role in allowing an integrated treatment of these topics.