Thesis (Ph. D.)--Columbia College, 1894. / Translation of: De mundi sensibilis atque intelligibilis forma et principiis. Vita.

Thesis (M.S.)--Kent State University, 2008. / Title from PDF t.p. (viewed Oct. 5, 2009). Advisor: Peter Dahl. Keywords: Geochronology; Radiometric Dating; Plate Tectonics. Includes bibliographical references (p. 106-109).

Thesis (Ph.D.)--University of Missouri-Columbia, 2007. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on March 6, 2009) Includes bibliographical references.

The relative magnitude of an event (number magnitude) can have direct implications on timing judgments. Previous studies have found that large magnitude numbers are perceived to have longer durations than those of smaller numbers. This bias can be accounted for in several ways; first, the internal clock model theorizes that stimulus magnitude directly interacts with the components of a dedicated cognitive timer by increasing pacemaker speed. Another explanation posits that different quantitative dimensions (space, time, size, intensity and number) are all represented within a common cortical metric thus facilitating interactions within and across dimensions. I have expanded on this framework by proposing that perceived duration is inferred using flexibly applied rules of thumbs (heuristics) in which information from a more accessible dimension (e.g., number magnitude) is substituted for duration. Three paradigms were used to test this theory. First, commonalities in how the intervals separating discrete stimuli of different magnitudes were judged was examined across a variety of quantitative dimensions (number, size, and colour saturation). Perceived duration judgments increased systematically as the magnitude difference between the stimuli increased. This finding was robust against manipulations to sequence direction, and order, suggesting that interval duration was estimated by substituting information regarding the absolute magnitude difference. Second, the impact of number magnitude on sound intensity judgments was examined. When target sounds were presented simultaneously with large digits, they were categorized as loud more frequently, suggesting that participants substituted number magnitude when performing difficult sound intensity judgments in a manner similar to when judging duration. Third, the repetition of magnitude information presented in either symbolic (Arabic digits) or non symbolic (numerosities) formats was manipulated prior to the presentation of a target number, whose duration was judged. The results demonstrated that large numbers were judged to last for longer durations relative to small numbers. Furthermore, context had an effect in which a greater discrepancy in the target’s numerical magnitude from the initial context sequence resulted in a longer perceived duration. The results across all three paradigms suggest that people generally employ information regarding one magnitude dimension (number) when making difficult perceptual decisions in a related dimension (time, sound intensity). / February 2016

The subject of this thesis is the economics of working time in Great Britain and Australia, with special reference to the length and timing of working hours. First, the incidence of and trends in work patterns, in Great Britain and Australia, are examined. The incidence of and trends in, normal hours, actual hours, overtime and part-time work in Britain and Australia, show a great deal of similarity. It is more difficult to compare "non-standard working hours" (hours outside of the normal spread of hours, e.g. shift work) because of problems with the data. It is clear, however, that non-standard hours of work are important in both countries.

Dissertação (mestrado) - Universidade Federal de Santa Catarina. Centro Tecnologico / Made available in DSpace on 2012-10-16T05:13:58Z (GMT). No. of bitstreams: 0Bitstream added on 2016-01-08T18:05:31Z : No. of bitstreams: 1 93250.pdf: 3382933 bytes, checksum: 0bc99eb6c1f2ee26b192039cdd2ffe45 (MD5) / O layout industrial é um elemento de grande importância para os sistemas de produção. Com um layout eficiente é possível racionalizar os esforços para a agregação de valor aos produtos, através da diminuição de atividades que não contribuem para esta adição de valor. Exemplos destas atividades são o transporte de produtos em processamento, o fluxo de produção em contra corrente e os estoques intermediários. No sistema de produção Just in Time, o layout industrial, além de reduzir o número de atividades que não agregam valor, deve também possibilitar a flexibilização dos meios de produção e a integração da manufatura, atributos que podem implicar em vantagem competitiva em relação a empresas concorrentes, pois dotam a fábrica de uma grande velocidade de resposta frente as exigências do mercado. O uso do computador para o projeto do layout industrial deve-se ao fato de que por meio deste é possível sistematizar o processo de projeto, permitindo que as tomadas de decisão sejam feitas de acordo com regras claras e bem definidas, além de ser possível contar com extensas bases de dados. O modelo computacional desenvolvido neste trabalho visa superar alguns pontos fracos apresentados por softwares já existentes que se dedicam ao projeto do layout industrial, além de inserir este projeto no contexto do sistema Just in Time.

Dissertação (mestrado) - Universidade Federal de Santa Catarina. Centro Socio-Economico / Made available in DSpace on 2012-10-16T22:44:01Z (GMT). No. of bitstreams: 0Bitstream added on 2016-01-08T17:35:49Z : No. of bitstreams: 1 87961.pdf: 6206279 bytes, checksum: 6d657c892c435aae2543fb472bac52ca (MD5) / O objetivo desta pesquisa é verificar "in loco" o impacto da adoção de uma inovação tecnológica, especificamente o just-in-time, na configuração do sistema de controle organizacional. Para este fim, foi empregado o método do estudo de caso que possibilitou analisar em detalhes os controles sobre o processo produtivo, sobre o controle de qualidade, bem como o controle sobre as pessoas. Através de uma avaliação longitudinal, foram focalizados os momentos anterior e posterior à introdução do just-in-time na área operacional da Hering Têxtil S/A. Os resultados obtidos demonstram a ocorrência de uma série de alterações no sistema de controle organizacional, como a intensificação dos controles sobre o processo e sobre as pessoas, a modificação nos mecanismos de controle de qualidade e, por último, a diminuição dos níveis hierárquicos, paralelamente, ao aumento da amplitude de controle dos supervisores, no nível operacional.

Thesis (Ed.M.)--Boston University / The purpose of this study was to determine the kinds of exercises using time concepts found in the textbooks in history for children in Grades IV, V and VI.

No description available.

Electricity load forecasts now form an essential part of the routine operations of electricity companies. The complexity of the short-term load forecasting (STLF) problem arises from the multiple seasonal components, the change in consumer behaviour during holiday seasons and other social and religious events that affect electricity consumption. The aim of this research is to produce models for electricity demand that can be used to further the understanding of the dynamics of electricity consumption in South Wales. These models can also be used to produce weather corrected forecasts, and to provide short-term load forecasts. Two novel time series modelling approaches were introduced and developed. Profiles ARIMA (PARIMA) and the Variability Decomposition Method (VDM). PARIMA is a univariate modelling approach that is based on the hierarchical modelling of the different components of the electricity demand series as deterministic profiles, and modelling the remainder stochastic component as ARIMA, serving as a simple yet versatile signal extraction procedure and as a powerful prewhitening technique. The VDM is a robust transfer function modelling approach that is based on decomposing the variability in time series data to that of inherent and external. It focuses the transfer function model building on explaining the external variability of the data and produces models with parameters that are pertinent to the components of the series. Several candidate input variables for the VDM models for electricity demand were investigated, and a novel collective measure of temperature the Fair Temperature Value (FTV) was introduced. The FTV takes into account the changes in variance of the daily maximum and minimum temperatures with time, making it a more suitable explanatory variable for the VDM model. The novel PARIMA and VDM approaches were used to model the quarterly, monthly, weekly, and daily demand series. Both approaches succeeded where existing approaches were unsuccessful and, where comparisons are possible, produced models that were superior in performance. The VDM model with the FTV as its explanatory variable was the best performing model in the analysis and was used for weather correction. Here, weather corrected forecasts were produced using the weather sensitive components of the PARIMA models and the FTV transfer function component of the VDM model.