A Structural Equation Model of Residents' Support for Mega Event

The aim of this article is to develop a structural equation model to assess key factors of residents' support for hosting mega event based on previous literature.The model consisted of five latent constructs and eight path hypotheses.A survey was conducted in Shanghai before 2010 World Expo.It was found that the support for mega events is affected directly and/or indirectly by four determinants factors:perceived benefits,perceived costs,personal benefits and community attachment,and support relies heavily on perceived benefits rather than costs.This study contributes to the existing body of knowledge in an attempt to understand local residents' support for a mega event in different economic and cultural settings.

A World of Support

The international community boosts its assistance for China’s earthquake-ridden areas while mourning the victims Countries around the world joined China in paying tribute to the tens of thousands of victims of the Wenchuan earthquake,as it started three days of national mourning on May 19-21.

Sources of Support

Xinjiang becomes the focus of a new development strategy to modernize and assist China’s western region Not since the founding of New China in 1949 have Chinese policymakers

Internal Force Analysis Due to the Supporting Translation in Statically (Indeterminate) Structures for Different Elastic Modulus

For statically indeterminate structure, the internal force will be changed with the translation of the supports, because the internal force is related to the absolute value of the stiffness EI. When the tension is different with the compression modulus, EI is the function of internal force and is not constant any more that is different from classic mechanics. In the other words, it is a nonlinear problem to calculate the internal force. The expression for neutral axis of the statically indeterminate structure was derived in the paper. The iterative program for nonlinear internal force was compiled. One case study was presented to illustrate the difference between the results using the different modulus theory and the single modulus theory as in classical mechanics. Finally, some reasonable suggestions were made for the different modulus structures.

Political Involvement of Citizens in Belarus and Ukraine＂ A Comparison with Russia, Moldova and Caucasus

This paper analyses core elements of political culture in post-Soviet Eurasia in the two decades between 1991 and 2010. It compares political transformations in transition countries along the continuum between authoritarian and democratic regimes in the years since the collapse of the Soviet Union in December 1991. It provides a general overview of findings on political support across certain post-communist nations by ordering them from most basic to more specific form of support. The broadest base of support is support for the political community, the next considered level is support for the democratic regime. The last two more specific levels are confidence in parliaments and confidence is expressed for political parties. Post-Soviet countries considered in the paper are Russia, Ukraine, Belarus, Armenia, Azerbaijan, Moldova and Georgia. WVS 1995, 2005 and EVS 2000, 2008 surveys are used as empirical basis of the analysis.

A Brief Primer on the Legendre Transformation

Guidance is offered for understanding and using the Legendre transformation and its associated duality among functions and curves. The genesis of this paper was encounters with colleagues and students asking about the transformation. A main feature is simplicity of exposition, while keeping in mind the purpose or application for using the transformation.

Predicting missing Energy Performance Certificates:Spatial interpolation of mixture distributions

Mass renovation goals aimed at energy savings on a national scale require a significant level of public financial commitment.To identify target buildings,decision-makers need a thorough understanding of energy performance.Energy Performance Certificates(EPC)provide information about areas of space,such as land plots or a building’s footprint,without specifying exact locations.They cover only a fraction of dwellings.This paper demonstrates that learning from observed EPCs to predict missing ones at the building level can be viewed as a spatial interpolation problem with uncertainty both on input and output variables.The Kriging methodology is applied to random fields observed at random locations to determine the Best Linear Unbiased Predictor(BLUP).Although the Gaussian setting is lost,conditional moments can still be derived.Covariates are admissible,even with missing observations.We present applications using both simulated and real data,with a specific case study of a city in France serving as an example.

Probing self-optimization of carbon support in oxygen evolution reaction

Despite acknowledgment of structural reconstruction of materials following oxygen evolution reaction (OER) reaction, the role of support during the reconstruction process has been ignored. Given this, we directly in situ transform the residual iron present in raw single-walled carbon nanotubes (SWCNT) into Fe_(2)O_(3) and thus build Fe_(2)O_(3)-CNT as the model system. Intriguingly, an anomalous self-optimization occurred on SWCNT and the derived components show satisfactory electrochemical performance. Soft X-ray absorption spectroscopy (sXAS) analysis and theory calculation correspondingly indicate that self-optimization yields stronger interaction between SWCNT and Fe_(2)O_(3) nanoparticles, where the electrons migrate from Fe_(2)O_(3) to optimized SWCNT. Such polarization will generate a positive charge center and thus boost the OER activity. This finding directly observes the self-optimization of support effect, providing a new perspective for OER and related electrochemical reactions.

Importance of Modeling Heterogeneities and Correlation in Reservoir Properties in Unconventional Formations: Examples of Tight Gas Reservoirs

We present lithofacies classifications for a tight gas sandstone reservoir by analyzing hierarchies of heterogeneities.We use principal component analysis(PCA)to overcome the two level of heterogeneities,which results in a better lithofacies classification than the traditional cutoff method.The classical volumetric method is used for estimating oil/gas in-place resources in the petroleum industry since its inception is not accurate because it ignores the heterogeneities of and correlation between the petrophysical properties.We present the importance and methods of accounting for the heterogeneities of and correlation between petrophysical properties for more accurate hydrocarbon volumetric estimations.We also demonstrate the impacts of modeling the heterogeneities and correlation in porosity and hydrocarbon saturation for hydrocarbon volumetric estimations with a tight sandstone gas reservoir.Furthermore,geoscientists have traditionally considered that small-scale heterogeneities only impact subsurface fluid flow,but not impact the hydrocarbon resource volumetric estimation.We show the importance of modeling small-scale heterogeneities using fine cell size in reservoir modeling of unconventional resources for accurate resource assessment.

BEHAVIOR OF SOLUTIONS TO A DEGENERATE DIFFUSION PROBLEM

The goal of this work is to study the behavior of solutions to a degenerate diffusion problem. The main interests center on the extinction properties and evolution of the supports of solutions for the equations considered.