268 research outputs found

    Conditional GIS surfaces and their potential for archaeological predictive modelling

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    Conditional GIS surfaces are well known in archaeological applications. Perhaps the most familiar of these are visibility analyses and friction layers (the basis of cost distance evaluations). Archaeological studies however tend to limit the use of such surfaces to purely environmental variables with little explanatory or analytical power. Friction, for example, is usually constructed entirely from a generated slope surface, occasionally with the addition of some physical barriers (such as waterways or perhaps vegetation differences). There are as well, a multitude of potential “conditions” to place upon spatial parameters which include strongly cultural ideas about knowledge, perception, familiarity, territoriality, risk, and other kinds of cognitive behaviours. Here we explore the kinds of “conditions” which could provide a great deal of explanatory or analytical understanding to our GIS archaeological applications, to categorize them into a meaningful framework, and to provide examples from a recent predictive model of how such surfaces can be applied

    Predictive modeling of cultural resources in the Theban necropolis, Luxor, Egypt

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    The Egyptian Government created the Egyptian Antiquities Information System (EAIS) and a Comprehensive Development Plan to help protect cultural resources in the Theban Necropolis, Luxor, Egypt. By creating a cognitive predictive model and assessing its utility in locating tombs, researchers could be aided in the understanding of why these locations were preferred by the ancient Egyptians. The cognitive evaluations used include tomb location relative to geology, slope, elevation, fractures, and religious/burial practices. A set of sensitivity surfaces was created using Geographical Information System (GIS) / statistical analysis of measured and derived environmental and cultural attributes. Analysis of fifteen sensitivity surfaces produced two viable models which could be combined with the EAIS database to help show which areas should be avoided or studied further. The most important information generated from this research is the fact that there is a lack of focus in the archaeological world concerning why tomb locations were chosen

    Introduction: looking beyond the walls

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    In its consideration of the remarkable extent and variety of non-university researchers, this book takes a broader view of ‘knowledge’ and ‘research’ than in the many hot debates about today’s knowledge society, ‘learning age’, or organisation of research. It goes beyond the commonly held image of ‘knowledge’ as something produced and owned by the full-time experts to take a look at those engaged in active knowledge building outside the university walls

    Economic liberalization and the antecedents of top management teams: evidence from Turkish 'big' business

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    There has been an increased interest in the last two decades in top management teams (TMTs) of business firms. Much of the research, however, has been US-based and concerned primarily with TMT effects on organizational outcomes. The present study aims to expand this literature by examining the antecedents of top team composition in the context of macro-level economic change in a late-industrializing country. The post-1980 trade and market reforms in Turkey provided the empirical setting. Drawing upon the literatures on TMT and chief executive characteristics together with punctuated equilibrium models of change and institutional theory, the article develops the argument that which firm-level factors affect which attributes of TMT formations varies across the early and late stages of economic liberalization. Results of the empirical investigation of 71 of the largest industrial firms in Turkey broadly supported the hypotheses derived from this premise. In the early stages of economic liberalization the average age and average organizational tenure of TMTs were related to the export orientation of firms, whereas in later stages, firm performance became a major predictor of these team attributes. Educational background characteristics of teams appeared to be under stronger institutional pressures, altering in different ways in the face of macro-level change

    The estimated economic burden of genital herpes in the United States. An analysis using two costing approaches

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    BACKGROUND: Only limited data exist on the costs of genital herpes (GH) in the USA. We estimated the economic burden of GH in the USA using two different costing approaches. METHODS: The first approach was a cross-sectional survey of a sample of primary and secondary care physicians, analyzing health care resource utilization. The second approach was based on the analysis of a large administrative claims data set. Both approaches were used to generate the number of patients with symptomatic GH seeking medical treatment, the average medical expenditures and estimated national costs. Costs were valued from a societal and a third party payer's perspective in 1996 US dollars. RESULTS: In the cross-sectional study, based on an estimated 3.1 million symptomatic episodes per year in the USA, the annual direct medical costs were estimated at a maximum of 984million.Ofthesecosts,49.7984 million. Of these costs, 49.7% were caused by drug expenditures, 47.7% by outpatient medical care and 2.6% by hospital costs. Indirect costs accounted for further 214 million. The analysis of 1,565 GH cases from the claims database yielded a minimum national estimate of $283 million direct medical costs. CONCLUSIONS: GH appears to be an important public health problem from the health economic point of view. The observed difference in direct medical costs may be explained with the influence of compliance to treatment and possible undersampling of subpopulations in the claims data set. The present study demonstrates the validity of using different approaches in estimating the economic burden of a specific disease to the health care system

    Tutorials at PPSN 2016

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    PPSN 2016 hosts a total number of 16 tutorials covering a broad range of current research in evolutionary computation. The tutorials range from introductory to advanced and specialized but can all be attended without prior requirements. All PPSN attendees are cordially invited to take this opportunity to learn about ongoing research activities in our field

    Numerical Weather Prediction (NWP) and hybrid ARMA/ANN model to predict global radiation

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    We propose in this paper an original technique to predict global radiation using a hybrid ARMA/ANN model and data issued from a numerical weather prediction model (ALADIN). We particularly look at the Multi-Layer Perceptron. After optimizing our architecture with ALADIN and endogenous data previously made stationary and using an innovative pre-input layer selection method, we combined it to an ARMA model from a rule based on the analysis of hourly data series. This model has been used to forecast the hourly global radiation for five places in Mediterranean area. Our technique outperforms classical models for all the places. The nRMSE for our hybrid model ANN/ARMA is 14.9% compared to 26.2% for the na\"ive persistence predictor. Note that in the stand alone ANN case the nRMSE is 18.4%. Finally, in order to discuss the reliability of the forecaster outputs, a complementary study concerning the confidence interval of each prediction is proposedComment: Energy (2012)
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