微量分析系统测定微量全血中的锌、铁、钙

提出了一种用微量分析系统测定微量全血中的锌、铁、钙的分析方法 ,该系统是利用软件来记录吸光度随时间的变化率 ,即导数原子吸收值来提高原子吸收分析灵敏度的一种新技术 .该方法灵敏度高 ,检出限低 ,重视性好 ,直接用于测定微量全血中的微量元素 ,结果满意     

Accurate forecasting of the undecided population in a public opinion poll

The problem of pollsters is addressed which is to forecast accurately the final answers of the undecided respondents to the primary question in a public opinion poll. The task is viewed as a pattern‐recognition problem of correlating the answers of the respondents to the peripheral questions in the survey with their primary answers. The underlying pattern is determined with a supervised artificial neural network that is trained using the peripheral answers of the decided respondents whose primary answers are also known. With peripheral answers as inputs, the trained network outputs the most probable primary response of an undecided respondent. For a poll conducted to determine the approval rating of the (former) Philippine president, J. E. Estrada in December 1999 and March 2000, the trained network predicted with a 95% success rate the direct responses of a test population that consists of 24.57% of the decided population who were excluded in the network training set. For the undecided population (22.67% of December respondents; 23.67% of March respondents), the network predicted a final response distribution that is consistent with the approval/disapproval ratio of the decided population. Copyright © 2002 John Wiley & Sons, Ltd.     

Decision trees for forecasting

Recent years have seen an increasing cross-fertilization between the fields of decision analysis and forecasting. Decision-analytic models often require forecasts as inputs, and aspects of the Bayesian decision-theoretic framework underlying decision analysis have proved useful to forecasting, particularly in contexts where subjective judgemental inputs are required. This paper describes the use of decision tree analysis for forecasting and illustrates its use for corporate divisional forecasting and planning. A specialized decision-analytic technique, acts as events, is also described and illustrated to forecast a new product's earnings. Conclusions are drawn about the applicability of decision analysis for forecasting.     

热管集热墙的实验研究

一、引言 被动式太阳房中大多数利用特朗勃墙作为集热蓄热墙。这种集热P件在有日照时外表面温度高,热损失大,夜间供热量小,供热品质不佳。在夜间增加保温盖板或保温帘可以减少热损失,但又带来了构造的复杂化及人工操作的麻烦。 为了克服上述缺点,设计了一种热管与水箱相结合的太阳能集热蓄热供暖装置,对其进行了实验研究。实验的目的是(1)与传统的特朗勃墙的热工性能进行对比;(2)利用实验数据回归出该种集热墙的热性能经验公式;(3)对其进行技术经济评价。     

城市可持续发展水平的指标体系及评价

从经济、环境、资源、社会发展和人口5个方面构建了评价城市可持续发展水平的指标体系.由于涉及到众多的指标,选择因子分析法通过降维处理,能使较多原始指标被综合为几个较少指标.实例证明,指标的选取、方法的选择都比较合理.     

2000－2006年我国登山运动中山难死亡事故的发生原因调查分析

本文试着透过基础的山难资料，归纳出近年来山难发生原因的基础研究。本文运用文献资料法、数据统计法等研究方法对2000—2006年我国登山运动中山难事故发生原因进行了系统的研究。     

Weight measurement using image-based pose analysis

Image-based gait analysis as a means of biometric identification has attracted much research attention. Most of the existing methods focus on human identification, posture analysis and movement tracking. There have been few investigations on measuring the carried load based on the carrier＇s gait characteristics by automatic image processing. Nevertheless, this measurement is very useful in a number of applications, such as the study of the carried load on the postural development of children and adolescence. In this paper, we investigate how to automatically estimate the carried weight from a sequence of images. We present a method to extract human gait silhouette based on an observation that humans tend to minimize the energy during motion. We compute several angles of body leaning and determine the relationship of the carried weight, the leaning angles and the centroid location according to a human kinetic study. Our weight determination method has been verified successfully by experiments.     

用对应分析法研究影响城市园林绿化的因素

利用Spss12．0软件，对1999年全国各地区城市园林绿化的统计数据进行了对应分析。通过对应分析图，可以很直观地看出影响城市园林绿化的主要因素，进而通过数据分析可以很清楚地看出城市园林绿化程度的高低直接影响游客的数量，这样就可以为各地区制定发展计划提供一定的参考。     

关于可对称化矩阵的Weyl-Лидский型定理

建立了可对称化矩阵情形下的型定理和与近似不变子空间相关的特征值扰动分析.拓广了W Kahan的相应结果.     

Decision Support Systems (DSS) development using a model of user inquiry types: Methodological proposals and a case study

A study of the DSS implementation area reveals an increased emphasis on methodologies for DSS development. As the DSS field matures, a larger number of methodological options are becoming available to the DSS developer. Existing methodologies have adopted various methods for performing the important task of DSS requirements analysis and specification. In envisaging a hierarchy of requirements analysis methods, a method for improved requirements analysis is proposed to remedy observed deficiencies within it. This method is based on a view of generic types of inquiries or solicitations made by the DSS user during decision-making. This formalism constitutes the basis of a proposed DSS development methodology that offers several benefits to DSS development. The intended benefits include a sharper and more focused requirements analysis to improve the DSS development process. This paper describes the model and methodology, alongside details of a real-world example of their use in developing a Marketing Decision Support System (MKDSS) for the support of marketing decision-making.