Ubiquitous interactive visualization of 3D mantle convection using a web-portal with Java and Ajax framework

We have developed a new strategy and espouse a novel paradigm for large-scale computing and real-time interactive visualization. This philosophy calls for intense interactive sessions for a couple of hours at a time at the expense of storing data on many disk drives during regular or heroic runs on massively parallel systems. We have already carried out successfully real-time volume-rendering visualization by employing hundreds of processors for a grid with over 25 million unknowns. Both Cartesian and spherical 3D mantle convection are visualized. The volume-rendered images are viewed on a large display device, with many panels holding around 13 million pixels. We will employ a software strategy involving an hierarchical rendering service, which will have as software an Ajax interface for interactive visualization of large data sets on many different platforms from desktop PC’s to hand-held devices, such as the OQO and the Nokia N-800. An option for stereo viewing is also implemented. We have installed a user interface as web application, using Java and Ajax framework in order to achieve over the Internet reasonable accessibility to our ongoing runs. Our goal is to expand the array of interactive devices, which will make it feasible to carry out ubiquitous visualization and monitoring of large-scale simulations or onsite events and to allow for collaborations across oceans.     

WEB-IS (integrated system): an overall view

WEB-IS, Web-based Integrated System, allows remote, interactive visualization of large-scale 3-D data over the Internet, along with data analysis and data mining. In this paper, we discuss the overall structure of WEB-IS. Up until now we have developed three sub-modules geared towards geophysical problems. WEB-IS1 allows geoscientists to navigate through their 3-D geophysical data, such as seismic structures or numerical simulations, and interactively analyze the statistics or apply data-mining techniques, such as cluster analysis. WEB-IS2 lets a user control Amira (a powerful 3-D visualization package) remotely and analyze, render and view large datasets across the Internet. WEB-IS3 is an imaging service that enables the user to control the scale of features to view through interactive zooming. In the near future, we propose to integrate the three components together through a middleware framework called NaradaBrokering (iNtegrated Asynchronous Real-time Adaptive Distributed Architecture, a distributed messaging infrastructure that can be used to intelligently route data between the originators and registered consumers) without regard for time or location. As a result, WEB-IS will improve its scalability and acquire properties of fault-tolerance. WEB-IS uses a combination of Java, C++, and through the use of NaradaBrokering will seamlessly integrate the server-side processing and user interaction utilities on the client. The server takes care of the processor intensive tasks, such as visualization and data mining, and sends either the resulting bitmap image or statistical results to the middleware across the Internet for viewing. WEB-IS is an easy-to-use service, which will eventually help geoscientists collaborate from different sites in a natural manner. It will be very useful in the next 10 years because of the increasing number of space missions and geophysical campaigns.     

Off-farm labour and the structure of US agriculture: the case of corn/soybean farms

While the growing importance of off-farm earnings suggests large benefits accrue to farmers from efforts to expand off-farm income opportunities, economic well being also depends on greater efficiency. To comprehensively gauge the economic health of farm operator households' off-farm income is interpreted as an output along with corn, soybeans, livestock and other crops. To accomplish this task two related methodologies were used. First, using 2000 data, a multi-activity cost function was set up to analyse labour allocation decisions within the farm operator household and also to estimate returns to scale and scope. Second, using 1996–2000 data, an input distance function approach was followed to estimate returns to scale, cost economies and technical efficiency – and the relative performance of farm operator households with and without off-farm wages and salaries compared. The cost function and input distance function results both suggest that off-farm outputs and inputs can be modelled in a multi-activity framework and involve significant economies of scope.     

Economic Motivations for Limited Dependent and Qualitative Variable Models*

The greater availability of survey data, a succession of papers dealing with the statistical issues arising from the analysis of such data and the appearance of software packages, such as UMDEP, have led to a remarkable increase in the application of limited dependent and qualitative variable models in economics. Economic analysis of the behaviour of individual decision makers often leads to models which are of a limited dependent or qualitative variable nature. This paper attempts to show how the use of these models naturally arises from the more general framework of modifications to traditional economic optimization problems.     

Current Trends and Demands in Visualization in the Geosciences

Geosciences, along with many other disciplines in science and engineering, faces an exponential increase in the amount of data generated from observation, experiment and large-scale, high-resolution 3-D numerical simulations. In this communication we describe the fundamentals of visualization necessary to meet these challenges. We present several alternative methodologies such as 2D/3D feature extraction, segmentation methods, and flow topology, to help better understand the physical structure of the data. We use AMIRA from TGS to demonstrate our concepts. Examples are drawn from fields in computational fluid dynamics, 3-D mantle convection and seismic tomography. Finally, we present our perspective on the future of visualization.     

Econometric and Forecasting Software for the IBM PC and Compatibles

This issue of the JEE reflects the growing interest in the PC as a teaching aid. This article reviews several of the most popular software packages available to users.     

Non Parametric Efficiency Measurement

Efficiency measurement using non parametric methods is increasing rapidly. One important initial step in measuring efficiency is deciding which software package to make use of. Here Data Envelopment Analysis (DEA) efficiency packages are reviewed, including those which undertake Malmquist productivity analysis. While most packages are commercially available, the one which is not a commercial product has an obvious initial advantage.     

Are there free rides out of a recession? The case of Switzerland

During the 2008/2009 recession, most countries resorted to discretionary fiscal policy measures. In this paper, we run two simulations with the KOF Swiss Economic Institute’s macroeconomic model to assess how both the Swiss stimulus measures, and the measures taken by Switzerland’s major trading partners, have affected the Swiss economy. The KOF baseline estimate incorporates fiscal stimulus packages in Switzerland and abroad. We re-run the model, modifying the exogenous variables to represent situations in which no fiscal action was taken (a) in Switzerland and (b) elsewhere. We find that the spillover from the foreign efforts to curb the recession dwarfs the effect of the domestic stimulus packages. In addition to making its own (rather limited) efforts to fight the recession, Switzerland also took a long free-ride that far exceeded the short one it paid for.     

Increasing the usability and accessibility of geodynamic modelling tools to the geoscience community: UnderworldGUI

Geoscientists are faced with a number of complexities that represent obstacles to the development of realistic simulation of deep earth processes. Realistic 4D thermo-mechanical simulation using software packages like Underworld and Gale, when combined appropriately with geoscientific expertise, can lead to novel insights into the deformation of geological structures at a wide range of time and spatial scales. The challenge for end-user geoscientists lies in applying their knowledge within the framework of the software’s input specification, including initial, internal, and boundary conditions and output visualization parameters. We have built a Graphical User Interface (GUI) to remove many of the difficulties related to editing the Extensible Markup Language (XML) encoded input files of Underworld/Gale geomodels and therefore, to greatly broaden the user base of these software packages. By helping Underworld/Gale to meet a large audience, we provide a tool to the geoscience community that helps to move from untested conceptual models to physically valid, properly scaled modelling. Furthermore, the UnderworldGUI offers a mechanism for storing and retrieving experimental models in a centralised database, thus providing the geoscience community with a means to share the outcomes of its experimental research. Further details of the UnderworldGUI are available at the web site http://www.wiki.vislab.usyd.edu.au/moinwiki/UnderworldGUI.     

Toward standardization in socioeconomic modeling: Concepts for the second generation of modeling tools

Standardization in modeling is understood here as a strategic process to improve the transfer of models and modeling know-how, to diminish the gap between model builders and model users, and to make the art of modeling an honorable science on a consolidated basis. Within the wide spectrum of standardization efforts, this paper reflects on a general approach for an improvement of model transfer, based on technical concepts for the next generation of software tools. These tools will be developed for large-scale modeling activities. Three formal software concepts to meet these needs are discussed: modularization, software interfaces, and integrated modeling systems. Although modularization is understood here as a concept characterizing the transferable good (the models), the other two concepts refer to output (or input) characteristics of the modeling tools and to their performance requirements. Some remarks on implementation of technical standards are added.     

Growth limitation and political power : Bruno Fritsch,Ballinger Publishing Company,Cambridge, Mass.

Standardization in modeling is understood here as a strategic process to improve the transfer of models and modeling know-how, to diminish the gap between model builders and model users, and to make the art of modeling an honorable science on a consolidated basis. Within the wide spectrum of standardization efforts, this paper reflects on a general approach for an improvement of model transfer, based on technical concepts for the next generation of software tools. These tools will be developed for large-scale modeling activities. Three formal software concepts to meet these needs are discussed: modularization, software interfaces, and integrated modeling systems. Although modularization is understood here as a concept characterizing the transferable good (the models), the other two concepts refer to output (or input) characteristics of the modeling tools and to their performance requirements. Some remarks on implementation of technical standards are added.     

A convenient representation for structural vector autoregressions

Latent variables are used to rewrite a wide class of structural vector autoregressive (SVAR) models. The framework is general enough to include as particular cases all just and over-identified models recently used in applied macroeconomics. The latent variables representation can conveniently be estimated with standard software packages like LISREL, EQS, LINCS and AMOS, for example. The approach is illustrated by using the models of Blanchard and Quah (1989) and Swanson and Granger (1997). First version received: October 1999/Final version accepted: August 2000     

Building internal business scenarios based on real data from a performance measurement system

This paper presents a new methodology to build internal business scenarios from the data gathered by some key performance indicators (KPIs) defined within a performance measurement system. The application of the principal components analysis technique leads to the identification of latent relationships between KPIs that underlies some important business aspects. Further, this methodology allows to represent not only the temporal evolution of the organisation as a function of these business aspects but also the definition and determination of internal business scenarios, being therefore the source of meaningful managerial information. At the end of the paper, results of a practical application are presented and discussed, as well as their importance for the organisation from a decision making point of view.     

HAPPY PEOPLE ARE LESS LIKELY TO BE UNEMPLOYED: PSYCHOLOGICAL EVIDENCE FROM PANEL DATA

There is a large literature showing that unemployment reduces people's well‐being. Yet little is known about the reverse possibility, namely that well‐being itself may influence unemployment propensity. Understanding the potentials of human well‐being in relation to unemployment is important as many developed countries are currently facing high unemployment rates. As well‐being is likely to be endogenous, we use British panel data and implement Lewbel's novel empirical approach for identification. We show that higher well‐being implies a negative causal effect on the probability of being unemployed. The result holds for two very different well‐being measures: life satisfaction and a 12‐item scale of mental health. As such, it provides new empirical evidence on the causal link between well‐being and unemployment propensity. (JEL D03, I31)     

Interactive visualization of 3D mantle convection

The current availability of thousands of processors at many high performance computing centers has made it feasible to carry out, in near real time, interactive visualization of 3D mantle convection temperature fields, using grid configurations having 10–100 million unknowns. We will describe the technical details involved in carrying out this endeavor, using the facilities available at the Laboratory of Computational Science and Engineering (LCSE) at the University of Minnesota. These technical details involve the modification of a parallel mantle convection program, ACuTEMan; the usage of client–server socket based programs to transfer upwards of a terabyte of time series scientific model data using a local network; a rendering system containing multiple nodes; a high resolution PowerWall display, and the interactive visualization software, DSCVR. We have found that working in an interactive visualizastion mode allows for fast and efficient analysis of mantle convection results.     

HOW HAS THE CRISIS OF 2008–09 AFFECTED SUBJECTIVE WELL‐BEING? EVIDENCE FROM 25 OECD COUNTRIES

This paper uses life satisfaction data of almost 140,000 individuals in 25 OECD countries to study how changes in the rates of GDP growth, unemployment, and inflation during the macroeconomic crisis of 2008–09 have affected subjective well‐being. The relative contributions of the three macroeconomic variables to individuals’ life satisfaction are used to assess how each country performed on balance during the crisis. This approach follows a recent trend of using subjective well‐being data for monitoring economic performance and for policy appraisal. We find that in the countries most strongly affected by the crisis, the effects on an average citizen's well‐being may be of a similar magnitude as the effects of the most serious personal life events. The main driver of these effects is the drop in GDP, whose impact is aggravated by the increase of unemployment. Though the inflation rate went down in several of the countries, the effect was too weak to significantly reduce the negative effect of the changes in GDP and unemployment. The results show that GDP fluctuations are important drivers of subjective well‐being.     

Privatization of state-owned enterprises in Poland

The transition from centrally planned to market economies in Eastern Europe has become a field of debate in economic literature since the late 1980s. Privatization plays a very important role because it is also a sensitive political problem. Privatization is a key element of the several reform packages that are being applied in Poland. This paper examines the different ways that small- and medium-sized enterprises were privatized from 1990 to 1995 using statistical data of the Ministry of Privatization [1995]. Analyzed enterprises are presented by the following group of projects. Capital privatization, direct foreign investment, joint stock companies awaiting privatization, and other methods of privatization are connected with the special program designed for firms with bad financial standing.     

国外即兴研究的文献计量学分析

对国外即兴研究的进展状况进行了总结。以6个外文数据库——EBSCO、SAGE Premier、JohnWiley、Elsevier Science、Emerald和Taylor为文献检索源,对1991—2012年国外即兴研究文献进行检索。利用文献计量学方法对文献数量、发表期刊、主要作者和关键词进行统计分析,并利用文本挖掘方法、可视化软件Refviz以及信息熵方法对研究主题及其演化规律进行了分析。     

The evolution of socio-economic modeling in Canada

For the past 15 years the authors have been associated with a research program concerned with the development of structural economic models that had their origins in the input-output models of Leontief. This program has produced a set of conceptual tools embracing a new approach to socio-economic modeling which we term the “design approach.” This approach draws on general systems theory and control theory in application to large social systems. Also emerging from this program as its test prototype is a particular set of models designed for society wide resource analysis and a set of software tools within which design approach models can be designed, implemented, and operated. The design approach provides a new method of assessing technologies in regard to their overall socio-economic resource impact. The objective of this paper is to describe the unique institutional setting and the particular issues which provided the setting and the motivation for embarking on a large scale modeling program. The paper is organized chronologically, describing first of all the evolution of the program approach, the software tools, the Socio-Economic Resource Framework (SERF), which is the prototype set of models that have been implemented, and some results obtained from it.