Senior Recital: Zachary Leinberger

A senior recital featuring Zachary Leinberger and Dr. Eric Jenkkins.https://digitalcommons.kennesaw.edu/musicprograms/2414/thumbnail.jp

Junior Recital: Scott Lozier

Junior recital featuring Scott Lozier and Dr. Eric Jenkins.https://digitalcommons.kennesaw.edu/musicprograms/2397/thumbnail.jp

Senior Recital: Kobe Greene

A Senior Recital featuring Kobe Greene and Dr. Eric Jenkins.https://digitalcommons.kennesaw.edu/musicprograms/2423/thumbnail.jp

Senior Recital: Jade Weldy

A Senior Recital featuring Jade Weldy and Dr. Eric Jenkins.https://digitalcommons.kennesaw.edu/musicprograms/2429/thumbnail.jp

Same Song, Different Choir

The CAPE standards have led to more precise, outcomes based expectations. However, the standards may have an adverse effect on Historically Black Colleges and Universities (HBCU) according to a group of HBCU education deans and administrators. This group represented educator preparation programs that graduate more than 50 percent of all Black public school teachers. The group contends that the CAPE standards will negatively “impact the delivery of their educator programs.” Some concerns are increased admissions criteria, accountability issues beyond a program’s control, and the ‘for-profit’ teacher training programs (Hawkins, 2013).. Teacher preparation programs are now challenged to provide more functional field experiences, requiring increased collaboration between k-12 school systems and institutions of higher education (NCATE, 2010). These collaborations must lead to more instructional responsibilities for teacher candidates prior to the prominent, one-term “student teaching course.” There is significant evidence that extensive field experiences will promote higher student achievement gains (Daniels, Patterson & Dunston, 2010;Teaching, 2030, 2014). Several models have proven effective for clinically-based (NCATE, 2010). These models generally fall within three categories--Teacher Residency, Blended, and Professional Development Schools. Given the scenarios that CAPE standards will have for HBCUs, the ‘best fit’ is a true quandary

Detection of Theileria orientalis genotypes in Haemaphysalis longicornis ticks from southern Australia

© 2015 Hammer et al.; licensee BioMed Central. Background: Theileria are blood-borne intracellular protozoal parasites belonging to the phylum Apicomplexa. Previously considered a benign parasite in Australia, outbreaks of clinical disease resulting from Theileria orientalis genotypes have been reported in Australia since 2006. Since this time, outbreaks have become widespread in south-eastern Australia, resulting in significant adverse impacts on local dairy and beef industries. This paper provides the first investigation into the possible biological and mechanical vectors involved in the rapid spread of the parasite. Methods: To identify possible vectors for disease, ticks, biting flies and mosquitoes were collected within active outbreak regions of Gippsland, Victoria. Ticks were collected from cattle and wildlife, and mosquitoes and biting flies were collected in traps in close proximity to outbreak herds. Ticks were identified via DNA barcoding of the mitochondrial cytochrome oxidase I gene. Barcoded ticks were pooled according to species or phylogenetic group and tested for the presence of T. orientalis and the genotypes Ikeda, Chitose and Buffeli using real-time PCR. Results: DNA barcoding and phylogenetic analysis identified ticks from the following species: Haemaphysalis longicornis, Ixodes holocyclus, Ixodes cornuatus, Ixodes hirsti, and Bothriocroton concolor. Additional Haemaphysalis, Ixodes and Bothriocroton spp. were also identified. Of the ticks investigated, only H. longicornis ticks from cattle carried theilerial DNA, with the genotypes Ikeda, Chitose and Buffeli represented. Mosquitoes collected in close proximity to outbreak herds included; Aedes camptorhynchus, Aedes notoscriptus, Coquillettidia linealis, Culex australicus, and Culex molestus. Low levels of T. orientalis Buffeli genotype were detected in some mosquitoes. The haematophagous flies tested negative. Conclusions: This is the first demonstration of a potential vector for T. orientalis in the current Australasian disease outbreak

Debt income and mental disorder in the general population

Background The association between poor mental health and poverty is well known but its mechanism is not fully understood. This study tests the hypothesis that the association between low income and mental disorder is mediated by debt and its attendant financial hardship. Method The study is a cross-sectional nationally representative survey of private households in England, Scotland and Wales, which assessed 8580 participants aged 16–74 years living in general households. Psychosis, neurosis, alcohol abuse and drug abuse were identified by the Clinical Interview Schedule – Revised, the Schedule for Assessment in Neuropsychiatry (SCAN), the Alcohol Use Disorder Identification Test (AUDIT) and other measures. Detailed questions were asked about income, debt and financial hardship. Results Those with low income were more likely to have mental disorder [odds ratio (OR) 2.09, 95% confidence interval (CI) 1.68–2.59] but this relationship was attenuated after adjustment for debt (OR 1.58, 95% CI 1.25–1.97) and vanished when other sociodemographic variables were also controlled (OR 1.07, 95% CI 0.77–1.48). Of those with mental disorder, 23% were in debt (compared with 8% of those without disorder), and 10% had had a utility disconnected (compared with 3%). The more debts people had, the more likely they were to have some form of mental disorder, even after adjustment for income and other sociodemographic variables. People with six or more separate debts had a six-fold increase in mental disorder after adjustment for income (OR 6.0, 95% CI 3.5–10.3). Conclusions Both low income and debt are associated with mental illness, but the effect of income appears to be mediated largely by debt

Automating the detection of Turning Points: Inventory control at ComputerShop

Abstract Inventory control for a product catalogue of 3000 products is carried out by two managers at ComputerShop. While there is a substantial level of automation of product flow in this company, there is no analysis of inventory levels, nor of trends in demand for each product. Inventory management thus is an area that imposes a high workload on the managers and is characterized by the usual problem of inventory and demand being poorly balanced. In this paper we have studied two techniques that can be applied to detect turning points in a sequence of sales data. We have demonstrated that both of these techniques can be used to support the partial automation of decisions on inventory control