Agreed upon procedures report on the City of Clutier, Iowa for the period July 1, 2006 through March 31, 2007

Agreed upon procedures report on the City of Clutier, Iowa for the period July 1, 2006 through March 31, 2007

Report on applying agreed-upon procedures to the City of Protivin’s certification of compliance with Chapter 388.10 of the Code of Iowa for the year ended June 30, 2008

Report on applying agreed-upon procedures to the City of Protivin’s certification of compliance with Chapter 388.10 of the Code of Iowa for the year ended June 30, 2008

Report on applying agreed-upon procedures to the City of Protivin’s certification of compliance with Chapter 388.10 of the Code of Iowa for the year ended June 30, 2007

Report on applying agreed-upon procedures to the City of Protivin’s certification of compliance with Chapter 388.10 of the Code of Iowa for the year ended June 30, 2007

ESCMID* guideline for the diagnosis and management of Candida diseases 2012: diagnostic procedures.

As the mortality associated with invasive Candida infections remains high, it is important to make optimal use of available diagnostic tools to initiate antifungal therapy as early as possible and to select the most appropriate antifungal drug. A panel of experts of the European Fungal Infection Study Group (EFISG) of the European Society of Clinical Microbiology and Infectious Diseases (ESCMID) undertook a data review and compiled guidelines for the clinical utility and accuracy of different diagnostic tests and procedures for detection of Candida infections. Recommendations about the microbiological investigation and detection of candidaemia, invasive candidiasis, chronic disseminated candidiasis, and oropharyngeal, oesophageal, and vaginal candidiasis were included. In addition, remarks about antifungal susceptibility testing and therapeutic drug monitoring were made.

Agreed upon procedures report on the City of Ralston, Iowa for the period July 1, 2007 through August 31, 2008

Agreed upon procedures report on the City of Ralston, Iowa for the period July 1, 2007 through August 31, 2008

Validation procedures in radiological diagnostic models. Neural network and logistic regression

The objective of this paper is to compare the performance of twopredictive radiological models, logistic regression (LR) and neural network (NN), with five different resampling methods. One hundred and sixty-seven patients with proven calvarial lesions as the only known disease were enrolled. Clinical and CT data were used for LR and NN models. Both models were developed with cross validation, leave-one-out and three different bootstrap algorithms. The final results of each model were compared with error rate and the area under receiver operating characteristic curves (Az). The neural network obtained statistically higher Az than LR with cross validation. The remaining resampling validation methods did not reveal statistically significant differences between LR and NN rules. The neural network classifier performs better than the one based on logistic regression. This advantage is well detected by three-fold cross-validation, but remains unnoticed when leave-one-out or bootstrap algorithms are used.

Comparing and validating hypothesis test procedures: Graphical and numerical tools

When the behaviour of a specific hypothesis test statistic is studied by aMonte Carlo experiment, the usual way to describe its quality is by givingthe empirical level of the test. As an alternative to this procedure, we usethe empirical distribution of the obtained \emph{p-}values and exploit itsinformation both graphically and numerically.

Hazardous substances in frequently used professional cleaning products.

A growing number of studies have identified cleaners as a group at risk for adverse health effects of the skin and the respiratory tract. Chemical substances present in cleaning products could be responsible for these effects. Currently, only limited information is available about irritant and health hazardous chemical substances found in cleaning products. We hypothesized that chemical substances present in cleaning products are known health hazardous substances that might be involved in adverse health effects of the skin and the respiratory tract. We performed a systematic review of cleaning products used in the Swiss cleaning sector. We surveyed Swiss professional cleaning companies (n = 1476) to identify the most used products (n = 105) for inclusion. Safety data sheets (SDSs) were reviewed and hazardous substances present in cleaning products were tabulated with current European and global harmonized system hazard labels. Professional cleaning products are mixtures of substances (arithmetic mean 3.5 +/- 2.8), and more than 132 different chemical substances were identified in 105 products. The main groups of chemicals were fragrances, glycol ethers, surfactants, solvents; and to a lesser extent, phosphates, salts, detergents, pH-stabilizers, acids, and bases. Up to 75% of products contained irritant (Xi), 64% harmful (Xn) and 28% corrosive (C) labeled substances. Hazards for eyes (59%) and skin (50%), and hazards by ingestion (60%) were the most reported. Cleaning products potentially give rise to simultaneous exposures to different chemical substances. As professional cleaners represent a large workforce, and cleaning products are widely used, it is a major public health issue to better understand these exposures. The list of substances provided in this study contains important information for future occupational exposure assessment studies.

Agreed upon procedures of the Iowa Department of Human Services, IowaCare Project for the year ended June 30, 2008

Agreed upon procedures of the Iowa Department of Human Services, IowaCare Project for the year ended June 30, 2008

ROBETH: un logiciel pour les procédés statistiques robustes [ROBETH: a library for robust statistical procedures].

In the past 20 years the theory of robust estimation has become an important topic of mathematical statistics. We discuss here some basic concepts of this theory with the help of simple examples. Furthermore we describe a subroutine library for the application of robust statistical procedures, which was developed with the support of the Swiss National Science Foundation.

Guidelines for Cleaning up Former Methamphetamine Labs, June 2009

Methamphetamine (meth) drug labs are not a new hazard to Iowa. In 2004, federal, state and local authorities seized more than 1,400 Iowa labs. These labs are discovered in houses, apartments, motel rooms, motor vehicles, and even an occasional combine. A dramatic decrease in the number of meth labs occurred in 2005 when a law restricting the purchase of pseudoephedrine was implemented. Although the number of meth labs has decreased, they continue to exist. Since there is currently no official federal guidance or regulations on how to clean up a former meth lab, the Iowa Department of Public Health, Division of Environmental Health, has created these basic guidelines to assist public health officials, property owners and the general public in cleaning up former meth lab properties.

Agreed-upon procedures report on the Iowa State Center Business Office of Iowa State University of Science and Technology for the year ended June 30, 2009

Agreed-upon procedures report on the Iowa State Center Business Office of Iowa State University of Science and Technology for the year ended June 30, 2009

Fingerprint Card and Final Disposition Report Procedures, January 10, 2008

This is a manual produced by the Iowa Department of Public Safety on how to process a fingerprint card for an arrested person.

Agreed upon procedures report on the City of Bevington, Iowa for the period July 1, 2008 through June 30, 2009

Agreed upon procedures report on the City of Bevington, Iowa for the period July 1, 2008 through June 30, 2009

Letter to the Colo-Nesco Community School District as a result of reaudit procedures performed at the request of the Superintendent pursuant to Chapter 11.6(4)(a)(2) of the Code of Iowa for the period July 1, 2007 through June 30, 2008

Letter to the Colo-Nesco Community School District as a result of reaudit procedures performed at the request of the Superintendent pursuant to Chapter 11.6(4)(a)(2) of the Code of Iowa for the period July 1, 2007 through June 30, 2008