面向影子分析的社交媒体竞争情报搜集

作为竞争情报分析手段之一,影子分析方法具有较高的实用性、时效性和未来导向性,但也存在着准确性差、资源有效性不足等明显缺点。造成这些不足的主要原因是传统情报来源即时性的缺失和即时信息分析手段的匮乏。不断发展的社交媒体,如Twitter、Digg等可以成为竞争情报优质的即时数据来源。社交媒体的开放性衍生出丰富的网络应用,可以使情报搜集工作及以其为基础的分析工作更高效、即时性更强。通过实例,本文证明了利用社交媒体及相关网络应用进行情报的搜集,可以有效改善情报分析工作的资源有效性和准确性,从而提升影子分析方法的应用价值。

反情报演练中的影子分析方法:应用策略与FAROUT评估

反情报演练是检验组织反情报体系是否完善的必要措施，情境拼图、数据挖掘等技术已经对传统的反情报体系构成严重威胁。影子分析法是进行反情报演练的有效方法，本文从应用的流程、团队的组织、长期规划与循环改进等方面详细提出了影子分析法在反情报演练中的应用策略，并使用FAROUT体系对其进行了评估，根据评估结果对其应用中需要注意的问题进行了讨论。本文在反情报工作的方法上进行了一定的创新，在实践方面具有一定的普遍适用意义。

影子价格分析法及其应用

本文用影子价格方法评价湖南省娄底地区某公路建设项目的经济效益,该项目列为世界银行“九六”财源支持的项目之一,已立项,即将投入建造.在项目分析过程中,本文根据实际案例对影子价格分析的方法,特别对影子价格定义的理解进行一些探讨.

影子价格分析方法在旱区生态供水效益量化与价值评估中的应用研究

结合影子价格分析方法,通过建立生态供水能值分析表,量化生态供水的相应分摊系数,对旱区生态供水效益与价值进行定量评估。结果表明:该方法可实现区域单方生态供水和总供水量效益的量化计算。研究成果对于区域生态供水效益量化与价值评估具有重要的参考价值。

科技情报中影子团队的运用探索

随着科学技术的快速发展,在科技情报工作中引入影子团队的方式来为咨询者提供专业的科技情报服务非常重要。介绍了影子团队的含义与应用现状,针对科技情报发展中现存的若干问题,探讨了影子团队在科技情报中的应用前景和可能的模型。

Correlation Analysis between Fruit Cracking and Influencing Factors in Apricot

In this study, 14 representative apricot cultivars in the production were selected as the experimental materials, and their fruit cracking characteristics, as well as the correlations between fruit cracking and influencing factors （e.g., pedcarp structure, mineral elements contents, DW/FW ratio and soluble sugar content） were analyzed to provide some reference for systematic study on fruit cracking mecha- nism of apricot. The results showed the cultivars with small orderly-and compactlyarranged epidermal cells were difficult to crack, while the cultivars with big disorderly-and loosely-arranged epidermal cells were easy to crack. There was no significant correlation between pericarp thickness and cracking index. The correlations between cracking and mineral elements contents of apricot fruit were in the order as Ca 〉 Zn 〉 Mn 〉 Fe 〉 K 〉 Mg 〉 Cu. The cracking index of apricot fruit was significantly negatively correlated with Ca content, was weakly correlated with Zn and Mn contents, and was uncorrelated with Fe, K, Mg and Cu contents. Ca deficiency was the main factor affecting the fruit cracking in apricot. Under the same conditions, the higher the water content is, the lower the cracking index is; and the higher the soluble sugar content is, the higher the cracking index is.

Rutting influencing factors and prediction model for asphalt pavements based on the factor analysis method

To clarify the importance of various influencing factors on asphalt pavement rutting deformation and determine a screening method of model indicators,the data of the RIOHTrack full-scale track were examined using the factor analysis method(FAM).Taking the standard test pavement structure of RIOHTrack as an example,four rutting influencing factors from different aspects were determined through statistical analysis.Furthermore,the common influencing factors among the rutting influencing factors were studied based on FAM.Results show that the common factor can well characterize accumulative ESALs,center-point deflection,and temperature,besides humidity,which indicates that these three influencing factors can have an important impact on rutting.Moreover,an empirical rutting prediction model was established based on the selected influencing factors,which proved to exhibit high prediction accuracy.These analysis results demonstrate that the FAM is an effective screening method for rutting prediction model indicators,which provides a reference for the selection of independent model indicators in other rutting prediction model research when used in other areas and is of great significance for the prediction and control of rutting distress.

Advances in the Study of Protein Quality Traits and Main Influencing Factors of Wheat in China

Wheat, the third major grain crop in China, is an important source of hu- man proteins. Wheat quality and yield has a direct impact on the development of agricultural economy and food industry. Investigating and improving protein quality of wheat has become a key to solving the contradiction. This paper reviewed the exist- ing literature published at home and abroad, analyzed the present situation and ex- isting problems of wheat protein quality in China, summarized the latest research progress about genetic models, main influencing factors, and correlations between protein quality traits and other traits, discussed current issues in the improvement of wheat protein quality, and proposed suggestions for breeding high-quality wheat, aiming at providing theoretical basis for genetic improvement, planting structure ad- justment and efficient production of high-quality wheat.

A quantitative BP neural network analysis of the relationships between ΣREE content and impact factors in the Beibu Gulf

The distribution characteristics of rare earth elements （REE） in bottomsediments are influenced by many factors. Hence, conducting a quantitative analysis isdifficult. A qualitative analysis of the relationships between ΣREE content andprovenance, hydrodynamics, grain size and mineral distribution in the Beibu Gulf showsthat terrestrial rocks control the ΣREE composition. Both weaker hydrodynamics andfiner grain size lead to a higher ΣREE content. Relative curves revealing therelationships between individual impact factors and ΣREE content were obtained fromthe combination of qualitative and quantitative analyses of the BP neural network,which trained the position of samples, gravel content, sand content, silt content, claycontent and clay mineral content. The results are consistent with those of thequantitative analysis. The self-learning algorithm is automatically determined andcalculated quantitatively. The impact of each factor on REEs and how each factorcontrols the ΣREE distribution is identified. Thus, environmental changes and thegeological evolution of the region can be inferred based on curve variation and the geological evolution of the region can be inferred based on curve variation and theactual situation. This method also provides useful theoretical guidance for the analysisof REE enrichment and dispersion.

Comparative analysis by simulating and testing pole impact for hot stamping front crossbeam of automobile

Hot stamping 22MnB5 steel plate with ultra-high strength has been widely used for body structural members in consideration of automobile safety and lightweight.This paper presents a verification program of simulating and testing pole impact in order to verify if the front crossbeam reinforcement assembly can meet the design requirements,reduce the overall vehicle simulation and test cost and shorten the operation period.In the same condition,the simulation proved conforming to the design requirements;however,the bumper cracked at the impacting point in the course of pole impact test.The analysis of the crack by optical microscope,Vickers and scanning electron microscope indicates that mixture of ferrite,bainite and martensite was produced in the weld heat-affected zone of the 340/590DP tow hook holder and the 22MnB5 front crossbeam;therefore,their hardness and mechanical property were reduced obviously,so that they fractured when impacted.No welding process with continuous weld but spot welding or other bonding method may be employed for the reason that the capacity of the 22MnB5 steel plate in the weld heat-affected zone was reduced obviously.

Measuring regional ecotourism competitiveness of Shandong Province based on Factor Analysis

Shandong Province is abundant in ecological resources to develop regional ecotourism.By using factor analysis method to analyze all possible influencing factors on regional ecotourism industry competitiveness,this article assesses 17 sample regions' competitiveness of ecotourism industry in Shandong.The regional ecotourism industry competitiveness is divided into two aspects:current competitiveness and potential competitiveness.13 indexes are to analyze current competitiveness and 7 indexes to analyze potential competitiveness respectively.Relative suggestions are given as well.

A Graph-theoretic Analysis of Stressors Confronting Giant Panda Habitat across Minshan Mountain Region,China

岷山地区位于四川盆地西北部,是我国生物多样性保护的优先地区,还是保护大熊猫的关键区域。本文以社会-经济-自然复合生态系统为基础,运用图论分析法研究了岷山地区影响大熊猫生境的人类活动方式,以及这些影响因子相互的关系。研究表明:影响大熊猫生境的人类活动的66对组合中,47.0%的因子间存在直接的联系,其中89.2%的影响具有增大效应。这说明人类活动对大熊猫生境的影响具有协同增大效应,并占主导地位。旅游景点开发、公路建设、采矿、高压电线、农业开发、放牧、薪柴采集这些影响因子存在强连通性,它们会将其他人类活动对大熊猫生境的影响放大,加剧对大熊猫生境的不利影响,表明它们是影响岷山地区大熊猫生境的主导人类活动。要想有效地保护岷山地区的大熊猫生境,就必须对这些主导人类活动进行有效的控制。本研究还表明图论分析法有助于明确影响熊猫生境的主导和关键因子,它能为制定有效的大熊猫保护策略提供科学依据。

Water Quality Evaluation Model Based on Principal Component Analysis and Information Entropy:Application in Jinshui River

水质评价对决策者决定水的使用功效尤为重要。水质综合评价系统中涉及到大量因子与指标,因子之间相互作用,致使水质的评价工作相对困难。主成分分析法可以消除因子间的相关性,因而被广泛应用于水质评价,但其忽略了数据离散程度的问题。熵值法则考虑了数据的离散特点。为更好地进行水质的综合评价,本文提出把主成分分析法和熵值法结合起来确定指标权重的方法,建立了水质评价模型,并采用该模型对郑州市金水河再生水2009年的水质情况进行评价,将评价结果与单独采用主成分分析或熵值法的结果进行了比较。结果表明了该方法的可行性与实用性,能够为非常规水资源利用提供理论依据和决策参考。