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From a theoretical point of view, a spatial econometric model can contain both a spatially lagged dependent variable (spatial lag) and a spatially autocorrelated error…
From a theoretical point of view, a spatial econometric model can contain both a spatially lagged dependent variable (spatial lag) and a spatially autocorrelated error term (spatial error). However, such models are rarely used in practice. This is because (assuming a lattice model approach is used for both the spatial lag and spatial error) the model is difficult to estimate1 unless the weight matrices are different for the spatial lag and the spatial error.
The purpose of this paper is to consider Turing's two tests for machine intelligence: the parallel‐paired, three‐participants game presented in his 1950 paper, and the…
The purpose of this paper is to consider Turing's two tests for machine intelligence: the parallel‐paired, three‐participants game presented in his 1950 paper, and the “jury‐service” one‐to‐one measure described two years later in a radio broadcast. Both versions were instantiated in practical Turing tests during the 18th Loebner Prize for artificial intelligence hosted at the University of Reading, UK, in October 2008. This involved jury‐service tests in the preliminary phase and parallel‐paired in the final phase.
Almost 100 test results from the final have been evaluated and this paper reports some intriguing nuances which arose as a result of the unique contest.
In the 2008 competition, Turing's 30 per cent pass rate is not achieved by any machine in the parallel‐paired tests but Turing's modified prediction: “at least in a hundred years time” is remembered.
The paper presents actual responses from “modern Elizas” to human interrogators during contest dialogues that show considerable improvement in artificial conversational entities (ACE). Unlike their ancestor – Weizenbaum's natural language understanding system – ACE are now able to recall, share information and disclose personal interests.
Museum visits provide opportunities for students to learn content in engaging and interactive ways. In social studies, museums may be spaces where students can increase…
Museum visits provide opportunities for students to learn content in engaging and interactive ways. In social studies, museums may be spaces where students can increase their historical and civic understanding through exposure to artifacts and narratives unavailable in classrooms. Yet, research suggests teachers are insufficiently prepared to integrate museum visits into classroom curriculum effectively. In this project, the instructors of the two secondary social studies methods course sections organized a visit to a natural history museum. The instructors modeled pre- and post-visit lesson activities during class and provided a guide for pre-service teachers to complete during their museum visit. While pre-service teachers reported they better understood the importance of connecting museum visits to classroom curriculum, they also raised questions about how methods course faculty might introduce pre-service teachers to museum visits. This article discusses what was learned during the project, as well as approaches social studies methods course instructors might reflect upon when considering museum visits as a component of social studies teacher education.
The sport, health, and lifestyle sector has been at the forefront of entrepreneurship due to new firms being established that have changed existing business practices. The…
The sport, health, and lifestyle sector has been at the forefront of entrepreneurship due to new firms being established that have changed existing business practices. The aim of this chapter is to discuss the following businesses: Fernwood Fitness, KX Pilates, Forever New, Carman's Muesli, and Frequency H20. This enables a better examination of how new sport-related businesses emerge in the global economy.
The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally…
The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.
The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.
In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.
The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.
This is a study of forecasting models that aggregate monthly times series into bimonthly and quarterly models using the 1,428 seasonal monthly series of the M3 competition…
This is a study of forecasting models that aggregate monthly times series into bimonthly and quarterly models using the 1,428 seasonal monthly series of the M3 competition of Makridakis and Hibon (2000). These aggregating models are used to answer the question of whether aggregation models of monthly time series significantly improve forecast accuracy. Through aggregation, the forecast mean absolute deviations (MADs) and mean absolute percent errors (MAPEs) were found to be statistically significantly lower at a 0.001 level of significance. In addition, the ratio of the forecast MAD to the best forecast model MAD was reduced from 1.066 to 1.0584. While those appear to be modest improvements, a reduction in the MAD affects a forecasting horizon of 18 months for 1,428 time series, thus the absolute deviations of 25,704 forecasts (i.e., 18*1,428 series) were reduced. Similar improvements were found for the symmetric MAPE.
Computer code complex for the thermal oxidation of silicon is presented. There are one‐dimensional model and two‐ dimensional models:the model of viscoelastic oxide and…
Computer code complex for the thermal oxidation of silicon is presented. There are one‐dimensional model and two‐ dimensional models:the model of viscoelastic oxide and the hydrodynamical models — an ideal fluid and a viscous fluid models. If nitride mask is absent, a one‐dimensional model is used.The influence of an induced stress on the diffusion and reaction is taken into account.
Aslib is interested in developing modular simulation models of aspects of library systems in order to investigate the use of such models as aids to systems design and…
Aslib is interested in developing modular simulation models of aspects of library systems in order to investigate the use of such models as aids to systems design and operation. The conceptual model of library procedures, developed during the OSTI‐supportcd project on the use of bibliographic records in libraries, offered a suitable basis for a pilot study. The pilot study was aimed at investigating the practicality of developing and using simulation models of library operations, and gaining experience in the application of simulation techniques to problems in the library and information field. The simulation language used was GPSS, in accordance with the 1968 edition of the IBM GPSS/360 User's Manual, H20–0326–2.
Demonstrates the application of spreadsheets in simulating queuingsystems with arrivals from a finite population. The problem is referredto as the machine repair problem…
Demonstrates the application of spreadsheets in simulating queuing systems with arrivals from a finite population. The problem is referred to as the machine repair problem where the members of the queue are machines that are breaking down and the servers are the technicians repairing the broken machines. The total number of machines are finite and pre‐specified. The technique for the development of the simulation is illustrated with six machines. Describes the approach for developing a generalized simulation model with any number of machines.