999 resultados para E51 .U6 no. 7
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This gives the average age of pending and disposes criminal cases broken down by county and circuit.
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Tese de mestrado, Educação (Didáctica da Matemática), Universidade de Lisboa, Instituto de Educação, 2010
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This report gives a summary of common pleas cases broken down by county and circuit as of August 31, 2014.
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This gives a summary of criminal records disposition by type.
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This gives the criminal records summary of activity by circuit/county for period 7/1/2013 thru 6/30/2014.
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This gives the criminal records summary of activity by circuit/county for period 7/1/2014 thru 8/31/2014.
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This report gives a summary of common pleas cases broken down by county and circuit.
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This gives the criminal records summary of activity by circuit/county.
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This document lists the number of cases in both juvenile court and domestic relations court in South Carolina for the various counties and circuits.
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Relatório da prática de ensino supervisionada, Mestrado em Ensino da Matemática, Universidade de Lisboa, 2011
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Relatório da prática de ensino supervisionada, Mestrado em Ensino de Matemática no 3.º Ciclo do Ensino Básico e no Secundário, Universidade de Lisboa, 2011
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Relatório da Prática de Ensino Supervisionada, Mestrado em Ensino de Biologia e Geologia no 3º Ciclo do Ensino Básico e Ensino Secundário, Universidade de Lisboa, 2011
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Relatório da Prática de Ensino Supervisionada, Ensino de Artes Visuais, Universidade de Lisboa, 2013
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Trabalho de projeto de mestrado, Ciências da Educação (Formação de Adultos), Universidade de Lisboa, Instituto de Educação, 2013
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A number of media outlets now issue medium-range (~7 day) weather forecasts on a regular basis. It is therefore logical that aerobiologists should attempt to produce medium-range forecasts for allergenic pollen that cover the same time period as the weather forecasts. The objective of this study is to construct a medium-range (< 7 day) forecast model for grass pollen at north London. The forecast models were produced using regression analysis based on grass pollen and meteorological data from 1990-1999 and tested on data from 2000 and 2002. The modelling process was improved by dividing the grass pollen season into three periods; the pre-peak, peak and post peak periods of grass pollen release. The forecast consisted of five regression models. Two simple linear regression models predicting the start and end date of the peak period, and three multiple regression models forecasting daily average grass pollen counts in the pre-peak, peak and post-peak periods. Overall the forecast models achieved 62% accuracy in 2000 and 47% in 2002, reflecting the fact that the 2002 grass pollen season was of a higher magnitude than any of the other seasons included in the analysis. This study has the potential to make a notable contribution to the field of aerobiology. Winter averages of the North Atlantic Oscillation were used to predict certain characteristics of the grass pollen season, which presents an important advance in aerobiological work. The ability to predict allergenic pollen counts for a period between five and seven days will benefit allergy sufferers. Furthermore, medium-range forecasts for allergenic pollen will be of assistance to the medical profession, including allergists planning treatment and physicians scheduling clinical trials.