E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, Iowa Department of Corrections, October 2003

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, Iowa Department of Corrections, November 2003

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, Iowa Department of Corrections, July 2003

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

Black Hawk County, June 30, 2002

County Audit Report

E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, January 2004

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

Black Hawk County Criminal Justice Information System, June 30, 2002

Other Audit Reports

E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, February 2004

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

[Le] général [Léonard] Wood, candidat à la présidence des USA, avec ses deux fils, [le] sous-lieutenant [Osborne] Wood à gauche et le capitaine Léonard Wood [Jr] : [photographie de presse] / [Agence Rol]

Référence bibliographique : Rol, 57543

Black Hawk County Criminal Justice Information System, June 30, 2003

Other Audit Report - 28E Organization

E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, March 2004

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, April 2004

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

An Analysis of black-box optimization problems in reinsurance: evolutionary-based approaches

Black-box optimization problems (BBOP) are de ned as those optimization problems in which the objective function does not have an algebraic expression, but it is the output of a system (usually a computer program). This paper is focussed on BBOPs that arise in the eld of insurance, and more speci cally in reinsurance problems. In this area, the complexity of the models and assumptions considered to de ne the reinsurance rules and conditions produces hard black-box optimization problems, that must be solved in order to obtain the optimal output of the reinsurance. The application of traditional optimization approaches is not possible in BBOP, so new computational paradigms must be applied to solve these problems. In this paper we show the performance of two evolutionary-based techniques (Evolutionary Programming and Particle Swarm Optimization). We provide an analysis in three BBOP in reinsurance, where the evolutionary-based approaches exhibit an excellent behaviour, nding the optimal solution within a fraction of the computational cost used by inspection or enumeration methods.

Black Hawk County, June 30, 2003

County Audit Report

E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, May 2004

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

Suicide after successful deep brain stimulation for movement disorders.

The authors observed a high rate of suicide (6/140 patients, 4.3%) in a large cohort of patients with movement disorders treated with deep brain stimulation (DBS). Apparent risk factors included a previous history of severe depression and multiple successive DBS surgeries, whereas there was no relationship with the underlying condition, DBS target, electrical parameters, or modifications of treatment. Paradoxically, all patients experienced an excellent motor outcome following the procedure. The authors propose that patients at high risk for suicide should be excluded from DBS surgery.