JAGUC - A SOFTWARE PACKAGE FOR ENVIRONMENTAL DIVERSITY ANALYSES

Nebel M, Wild S, Holzhauser M, et al. Jaguc - a Software package for Environmental Diversity Analyses. J. Bioinformatics and Computational Biology. 2011;9(6):749--773

Generalized network improvement and packing problems

Michael Holzhauser discusses generalizations of well-known network flow and packing problems by additional or modified side constraints. By exploiting the inherent connection between the two problem classes, the author investigates the complexity and approximability of several novel network flow and packing problems and presents combinatorial solution and approximation algorithms. Contents Fractional Packing and Parametric Search Frameworks Budget-Constrained Minimum Cost Flows: The Continuous Case Budget-Constrained Minimum Cost Flows: The Discrete Case Generalized Processing Networks Convex Generalized Flows Target Groups Researchers and students in the fields of mathematics, computer science, and economics Practitioners in operations research and logistics The Author Dr. Michael Holzhauser studied computer science at the University of Kaiserslautern and is now a research fellow in the Optimization Research Group at the Department of Mathematics of the University of Kaiserslautern

Einsatz von photovoltaischen Kleinanlagen in Entwicklungslaendern Statusbericht unter besonderer Beruecksichtigung der Erfahrungen in Westafrika

UuStB Koeln(38)-890106500 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEDEGerman

Forecasting for the All Women Count! Program

All Women Count! program is a no-cost breast and cervical cancer screening program for qualifying women. We are interested in estimating the number of women who will use the program for the next 5 years. Forecasting was done using several commonly used models for each county. In addition, a Gaussian mixture of regression time series model is used to perform clustering and forecasting. Four models were tested and the model with the lowest test root mean square error was chosen to carry out the forecasting by county. The model chosen most often was the ordinary least squares regression closely followed by ridge regression and linear regression with autoregressive integrated moving average errors. Model selection for the mixture model was done using the Bayesian information criterion and found 5 clusters were optimal. The five clusters identified the counties with increasing and decreasing participation. The results will help the South Dakota Department of Health with future planning and implementation of the program

Informatics External Quality Assurance (IEQA) Down Under: evaluation of a pilot implementation

External quality assurance (EQA) provides ongoing evaluation to verify that laboratory medicine results conform to quality standards expected for patient care. While attention has focused predominantly on test accuracy, the diagnostic phases, consisting of pre- and post-laboratory phases of testing, have thus far lagged in the development of an appropriate diagnostic-phase EQA program. One of the challenges faced by Australian EQA has been a lack of standardisation or harmonisation resulting from variations in reporting between different laboratory medicine providers. This may introduce interpretation errors and misunderstanding of results by clinicians, resulting in a threat to patient safety. While initiatives such as the Australian Pathology Information, Terminology and Units Standardisation (PITUS) program have produced Standards for Pathology Informatics in Australia (SPIA), conformity to these requires regular monitoring to maintain integrity of data between sending (laboratory medicine providers) and receiving (physicians, MyHealth Record, registries) organisations\u27 systems. The PITUS 16 Informatics EQA (IEQA) Project together with the Royal College of Pathologists of Australasia Quality Assurance Programs (RCPAQAP) has created a system to perform quality assurance on the electronic laboratory message when the laboratory sends a result back to the EQA provider. The purpose of this study was to perform a small scale pilot implementation of an IEQA protocol, which was performed to test the suitability of the system to check compliance of existing Health Level-7 (HL7 v2.4) reporting standards localised and constrained by the RCPA SPIA. Here, we present key milestones from the implementation, including: (1) software development, (2) installation, and verification of the system and communication services, (3) implementation of the IEQA program and compliance testing of the received HL7 v2.4 report messages, (4) compilation of a draft Informatics Program Survey Report for each laboratory and (5) review consisting of presentation of a report showing the compliance checking tool to each participating laboratory