993 resultados para Solid particle
Resumo:
Other Audit Reports
Resumo:
Cytomegalovirus (CMV) continues to be one of the most common infections after solid-organ transplantation, resulting in significant morbidity, graft loss, and adverse outcomes. Management of CMV varies considerably among transplant centers but has been become more standardized by publication of consensus guidelines by the Infectious Diseases Section of The Transplantation Society. An international panel of experts was reconvened in October 2012 to revise and expand evidence and expert opinion-based consensus guidelines on CMV management, including diagnostics, immunology, prevention, treatment, drug resistance, and pediatric issues. The following report summarizes the recommendations.
Resumo:
Other audit reports - Solid Waste Commission
Resumo:
Other Audit Reports
Resumo:
Audit report on the Prairie Solid Waste Agency, fiscal years ending June 30, 2003 and 2002.
Resumo:
Audit report on the Crawford County Area Solid Waste Agency Commission, fiscal year ending June 30, 2003 and 2002.
Resumo:
Other Audit Report
Resumo:
Other Audit Reports - Butler County Solid Waste Commission
Resumo:
Other Audit Reports - 28E Organizations
Resumo:
Other Audit Reports - 28E Organizations
Resumo:
Other Audit Reports - 28E Oraganizations
Resumo:
Other Audit Reports - 28E Organizations
Resumo:
Part I of this series of articles focused on the construction of graphical probabilistic inference procedures, at various levels of detail, for assessing the evidential value of gunshot residue (GSR) particle evidence. The proposed models - in the form of Bayesian networks - address the issues of background presence of GSR particles, analytical performance (i.e., the efficiency of evidence searching and analysis procedures) and contamination. The use and practical implementation of Bayesian networks for case pre-assessment is also discussed. This paper, Part II, concentrates on Bayesian parameter estimation. This topic complements Part I in that it offers means for producing estimates useable for the numerical specification of the proposed probabilistic graphical models. Bayesian estimation procedures are given a primary focus of attention because they allow the scientist to combine (his/her) prior knowledge about the problem of interest with newly acquired experimental data. The present paper also considers further topics such as the sensitivity of the likelihood ratio due to uncertainty in parameters and the study of likelihood ratio values obtained for members of particular populations (e.g., individuals with or without exposure to GSR).
Resumo:
Other Audit Reports - 28E Organizations
Resumo:
Other Audit Reports - 28E Organizations