184,198 research outputs found

    Supplemental Materials to Hierarchical Modeling and Analysis for Spatial Data, 2nd Edition

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    These files are the supplemental materials referred to in the 2nd edition of Hierarchical Modeling and Analysis for Spatial Data. This record is complete with datasets, R code, and WinBUGS. There is a csv file that provides a map for page number and associated file. If there is no page number, then there is a section number or short description.Banerjee, Sudipto; Carlin, Bradley P; Gelfand, Alan E. (2018). Supplemental Materials to Hierarchical Modeling and Analysis for Spatial Data, 2nd Edition. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/D6RQ5C

    Supplemental Materials to Bayesian Adaptive Methods for Clinical Trials, 1st Edition

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    These files are the supplemental materials referred to in the 1st edition of Bayesian Adaptive Methods for Clinical Trials. This record is complete with datasets, R code, and WinBUGS. There is a csv file that provides a map for page number and associated file. If there is no page number, then there is a section number or short description.Berry, Scott M; Carlin, Bradley P; Lee, J Jack; Muller, Peter. (2018). Supplemental Materials to Bayesian Adaptive Methods for Clinical Trials, 1st Edition. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/D6WD78

    Carlin Art Galleries. R. W. Van Hamersveld with paintings

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    R. W. Van Hamersveld, Fort Worth artist whose work is included in the show at Carlin Galleries, shows two of his styles with Holy City , left, a painting similar to his Ghetto , which is on a national circuit, and his Windmill , at right, done during a trip to Europe in 1958. Fort Worth Star-Telegram May 22, 1960.https://mavmatrix.uta.edu/specialcollections_startelegram1960s/1172/thumbnail.jp

    Supplemental Materials to Bayesian Methods for Data Analysis, 3rd Edition

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    These files are the supplemental materials referred to in the 3rd edition of Bayesian Methods for Data Analysis. This record is complete with datasets, R code, and WinBUGS. There is a csv file that provides a map for page number and associated file. If there is no page number, then there is a section number or short description.Carlin, Bradley P; Louis, Thomas A. (2018). Supplemental Materials to Bayesian Methods for Data Analysis, 3rd Edition. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/D6N10N

    Carlin Woolf, 1959 Writers Club Contest Winner

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    Carlin Woolf was a student at Jacksonville State College. In 1959 he was the winner of the annual Writer\u27s Club Contest. (circa May 18, 1959)https://digitalcommons.jsu.edu/lib-ac-histimg/6946/thumbnail.jp

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Marie-Louise Carlin, La pénétration du droit romain dans les actes de la pratique provençale, XIe-XIIIe siècle, préface de R.-J. Aubenas.

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    Imbert Jean. Marie-Louise Carlin, La pénétration du droit romain dans les actes de la pratique provençale, XIe-XIIIe siècle, préface de R.-J. Aubenas.. In: Annales. Economies, sociétés, civilisations. 23ᵉ année, N. 4, 1968. pp. 901-904

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

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    Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.

    spBayes: An R Package for Univariate and Multivariate Hierarchical Point-referenced Spatial Models

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    Scientists and investigators in such diverse fields as geological and environmental sciences, ecology, forestry, disease mapping, and economics often encounter spatially referenced data collected over a fixed set of locations with coordinates (latitude-longitude, Easting-Northing etc.) in a region of study. Such point-referenced or geostatistical data are often best analyzed with Bayesian hierarchical models. Unfortunately, fitting such models involves computationally intensive Markov chain Monte Carlo (MCMC) methods whose efficiency depends upon the specific problem at hand. This requires extensive coding on the part of the user and the situation is not helped by the lack of available software for such algorithms. Here, we introduce a statistical software package, spBayes, built upon the R statistical computing platform that implements a generalized template encompassing a wide variety of Gaussian spatial process models for univariate as well as multivariate point-referenced data. We discuss the algorithms behind our package and illustrate its use with a synthetic and real data example.

    IS LIGHTING BASED ON PHOTOPIC REQUIREMENTS IN ASSEMBLY WORKSTATIONS ALSO OPTIMAL FOR NON-VISUAL PERFORMANCE IN A HUMAN-CENTRIC PERSPECTIVE? A CASE STUDY IN THE AUTOMOTIVE SECTOR

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    The article explores how assembly stations in the automotive components industry are structured using Lean Production principles to minimize setup times, reduce travel distances, and ensure ergonomic arrangements of tools and materials. With the integration of Industiy 4.0 technologies, companies are increasingly digitizing production processes through systematic data collection, enhancing efficiency. A key factor in optimizing workstations is proper lighting, which is also central to the emerging Industry 5.0 paradigm that prioritizes human well-being alongside productivity. The study focuses on experimental lighting analyses conducted at a plant near Turin, Italy, operated by a multinational automotive company. Researchers examined both the visual and non-visual effects of light within U-and L-shaped work cells, taking measurements at the work surfaces and eye level of the operators. To compare objective findings with subjective experience, questionnaires were administered to the workers. Results showed that the lighting met regulatory standards and provided good support for circadian rhythms. However, some employees expressed concerns about glare and wanted more control over the luminous flux and positioning of the lighting systems. The findings suggest that enhancing lighting flexibility can improve visual ergonomics and support the transition toward more adaptive and worker-centred smart workstations aligned with Industry 5.0 principles
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