2011-2012 Comprehensive Annual Financial Report For the fiscal years ended June 30, 2012 and June 30, 2011

Comprehensive Annual Financial Report For the fiscal years ended June yearly.(University of Northern Iowa)

1996 Comprehensive Annual Financial Report, November 27, 1996

Comprehensive Annual Financial Report For University of Northern Iowa.

2001-2002 University of Northern Iowa Comprehensive Annual Financial Report, December 20, 2002

Comprehensive Annual Financial Report For University of Northern Iowa.

2002-2003 University of Northern Iowa Comprehensive Annual Financial Report, November 26, 2003

Comprehensive Annual Financial Report For University of Northern Iowa.

Complicated intra-abdominal infections in Europe: a comprehensive review of the CIAO study.

ABSTRACT: The CIAO Study ("Complicated Intra-Abdominal infection Observational" Study) is a multicenter investigation performed in 68 medical institutions throughout Europe over the course of a 6-month observational period (January-June 2012).Patients with either community-acquired or healthcare-associated complicated intra-abdominal infections (IAIs) were included in the study.2,152 patients with a mean age of 53.8 years (range: 4-98 years) were enrolled in the study. 46.3% of the patients were women and 53.7% were men. Intraperitoneal specimens were collected from 62.2% of the enrolled patients, and from these samples, a variety of microorganisms were collectively identified.The overall mortality rate was 7.5% (163/2.152).According to multivariate analysis of the compiled data, several criteria were found to be independent variables predictive of patient mortality, including patient age, the presence of an intestinal non-appendicular source of infection (colonic non-diverticular perforation, complicated diverticulitis, small bowel perforation), a delayed initial intervention (a delay exceeding 24 hours), sepsis and septic shock in the immediate post-operative period, and ICU admission.Given the sweeping geographical distribution of the participating medical centers, the CIAO Study gives an accurate description of the epidemiological, clinical, microbiological, and treatment profiles of complicated intra-abdominal infections (IAIs) throughout Europe.

2003-2004 University of Northern Iowa Comprehensive Annual Financial Report, December 1, 2004

Comprehensive Annual Financial Report For University of Northern Iowa.

2004-2005 University of Northern Iowa Comprehensive Annual Financial Report, December 2, 2005

Comprehensive Annual Financial Report For University of Northern Iowa.

2005-2006 University of Northern Iowa Comprehensive Annual Financial Report, November 17, 2006

Comprehensive Annual Financial Report For University of Northern Iowa.

2006-2007 University of Northern Iowa Comprehensive Annual Financial Report, December 13, 2007

Comprehensive Annual Financial Report For University of Northern Iowa.

2007-2008 University of Northern Iowa Comprehensive Annual Financial Report, December 8, 2008

Comprehensive Annual Financial Report For University of Northern Iowa.

2008-2009 University of Northern Iowa Comprehensive Annual Financial Report, December 14, 2009

Comprehensive Annual Financial Report For University of Northern Iowa.

2009-2010 Comprehensive Annual Financial Report, December 8, 2010

Comprehensive Annual Financial Report For University of Northern Iowa.

Planning under partial observability by classical replanning: theory and experiments

Planning with partial observability can be formulated as a non-deterministic search problem in belief space. The problem is harder than classical planning as keeping track of beliefs is harder than keeping track of states, and searching for action policies is harder than searching for action sequences. In this work, we develop a framework for partial observability that avoids these limitations and leads to a planner that scales up to larger problems. For this, the class of problems is restricted to those in which 1) the non-unary clauses representing the uncertainty about the initial situation are nvariant, and 2) variables that are hidden in the initial situation do not appear in the body of conditional effects, which are all assumed to be deterministic. We show that such problems can be translated in linear time into equivalent fully observable non-deterministic planning problems, and that an slight extension of this translation renders the problem solvable by means of classical planners. The whole approach is sound and complete provided that in addition, the state-space is connected. Experiments are also reported.