Walther Funk, Reich Minister of Economic Affairs in Nazi Germany, describes his argument with Goebbels over the laws against Jews. He felt he could better help people if he did not resign or continue to argue against the new laws. He states that he knew nothing about the extermination of Jews. He also relates a conversation with Hess over the problems of getting raw materials if Germany declared war with Russia.

Dr. Himdemith, German Defense Counsel, requested an interview with Judge Musmanno to discuss Judge Musmanno's opinion in the Einsatzgrupper case. They discussed Hindemith's views on German guilt.

One of the distinguishing characteristics of hostile networked radio sources (e.g., enemy sensor network nodes), is that only physical layer information and limited medium access control (MAC) layer information of the network is observable. We propose a scheme to localize hostile networked radio sources based on the radio signal strength and communication protocol pattern analysis using a mobile robot with a directional antenna. We integrate a Particle Filter algorithm with a new sensing model which is built on a directional antenna model and Carrier Sense Multiple Access (CSMA)-based MAC protocol model. we model and analyze the channel idle probability and busy collision probability as a function of the number of radio sources in the CSMA protocol modeling. Based on the sensing model, we propose a particle-filter-based scheme to simultaneously estimate the number and the positions of networked radio sources. We provide a localization scheme based on the method of steepest descent for the purpose of performance comparison. Simulation results demonstrate that our proposed localization scheme has a better success rate than the scheme based on the steepest descent at different tolerant distances.

Thesis (M.S.)--Humboldt State University, 2009. / Includes bibliographical references (leaves 63-65). Also available via Humboldt Digital Scholar.

Thesis (M.S.)--Ohio State University, 2009. / Title from first page of PDF file. Includes vita. Includes bibliographical references (p. 86-89).

Not available / text

Abstract Cronobacter spp. are opportunistic foodborne pathogens associated with infections in neonates and infants, particularly those that are premature or immunocompromised. Outbreaks of Cronobacter infections in infants have been epidemiologically linked to the consumption of contaminated powdered infant formulae. Since the designation of Enterobacter sakazakii (now Cronobacter spp.) as a unique species in 1980, a number of methods have been proposed for its detection and identification. The aim of the present study was to evaluate and compare different tools used for the identification of presumptive Cronobacter isolates. The bioMérieux API 20E biochemical bacterial identification kit (Omnimed (Pty), Randburg, Gauteng, South Africa) was shown not to be a reliable identification tool for the Cronobacter strains examined in the current study, since it gave false-positive results. The API 50CHE biochemical kit was shown to be more reliable giving similar results to the polymerase chain reaction (PCR) detection and DNA sequence data. The primer pair Esakf/Esakr proved to be the most reliable PCR identification tool.Additional differentiating traits and antibiotic patterns were demonstrated for Cronobacter species in the current study.

Available information in Swaziland indicates that there are stocks of persistent organic pesticides that have been discontinued elsewhere because of their carcinogenic, mutagenic and teratogenic properties. Some of these pesticides, such as DDT and endosulfan, are still used in agriculture to protect crops and livestock from pests and diseases, and in vector control especially mosquitoes. There has been an increase in the use of these pesticides over the years. It is estimated that about 30–40% of the population may have already been exposed to these pesticides. The cultural and lifestyle determinants of pesticide exposure are highlighted.

No description available.

No description available.