Summary of Pending Common Pleas Cases by Circuit/County For Date 6/30/2014

This report gives a summary of common pleas cases broken down by county and circuit as of June 30, 2014.

Summary of Criminal Records Disposition by Type For Period 7/1/2013 Thru 6/30/2014

This gives a summary of criminal records disposition by type.

Criminal Records Summary of Activity by Circuit/County For Period 7/1/2013 Thru 6/30/2014

This gives the criminal records summary of activity by circuit/county for period 7/1/2013 thru 6/30/2014.

ANNUAL REPORT OF THE State Board of Health OF SOUTH CAROLINA FOR THE PERIOD BEGINNING JULY I, 1943, AND ENDING JUNE 30, 1944

This annual report from the South Carolina State Board of Health includes reports from its various divisions, statistical data concerning health issues and a list of board members.

A 30-Day-Ahead Forecast Model for Grass Pollen in North London, United Kingdom

A 30-day ahead forecast method has been developed for grass pollen at north London. The total period of the grass pollen season is covered by eight multiple regression models, each covering a 10-day period running consecutively from 21st May to 8th August. This means that three models were used for each 30-day forecast. The forecast models were produced using grass pollen and environmental data from 1961-1999 and tested on data from 2000 and 2002. Model accuracy was judged in two ways: the number of times the forecast model was able to successfully predict the severity (relative to the 1961-1999 dataset as a whole) of grass pollen counts in each of the eight forecast periods on a scale of one to four; and the number of times the forecast model was able to predict whether grass pollen counts were higher or lower than the mean. The models achieved 62.5% accuracy in both assessment years when predicting the relative severity of grass pollen counts on a scale of one to four, which equates to six of the eight 10-day periods being forecast correctly. The models attained 87.5% and 100% accuracy in 2000 and 2002 respectively when predicting whether grass pollen counts would be higher or lower than the mean. Attempting to predict pollen counts during distinct 10-day periods throughout the grass pollen season is a novel approach. The models also employed original methodology in the use of winter averages of the North Atlantic Oscillation to forecast 10-day means of allergenic pollen counts.

University Symphony Orchestra, January 30, 1977

Concert program for University Symphony Orchestra, January 30, 1977

Faculty Recital, September 30, 2008

Concert program for Faculty Recital, September 30, 2008

Pacific Northwest Chamber Music Festival, June 28, 30 and July 5, 9, 1988

Concert program for Pacific Northwest Chamber Music Festival, June 28, 30 and July 5, 9, 1988

Intervention Recommendations to Minimize the 30-Day Risk-of-Readmission for Heart Failure

Thesis (Master's)--University of Washington, 2015

Norma internacional de contabilidade [NIC 30]: divulgações nas demosntrações financeiras de bancos e instituições financeiras similares

Revista Fiscal, Dezembro 2007

Unesp Ciência, 2012, ano 3, número 30

Revista elaborada pela Assessoria de Comunicação e Imprensa da Reitoria da UNESP

Lubrificação de compressores que aspiram fluido frigorigéneo a temperaturas inferiores a -30° C

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica

A relação entre a acreditação/certificação da qualidade e o controlo interno nas organizações: estudo de caso em 30 unidades hospitalares públicas portuguesas

Dissertação de Mestrado apresentado ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Auditoria, sob orientação de: Doutora Alcina Dias e coorientação de: Doutora Ana Paula Lopes

O teatro de revista no Estado Novo: a década de 30 do século XX: dissertação

Dissertação submetida ao departamento de Teatro da Escola Superior de Teatro e Cinema para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Teatro - especialização em Artes Performativas vertente Teatro-Música.