An Engaging Leadership Framework (ELF) Project Investigating How Gen Y Students Learn

This paper describes a research project to improve teaching methods to cater for Gen Y and Millennium student learning. The project was initiated by participation in using the Engaging Leadership Framework project and is designed to undertake research to inform teaching. Planned to take 18 months, it aims to spawn parallel projects on improving teaching for current younger generation university students. The objective is to improve student engagement in their own learning whilst also improving the research group members’ individual teaching approaches. Two academics from different disciplines identified a common concern that their teaching styles may not be meeting the needs of the current young cohort of students. The project design uses an action research methodology with several iterations of data collection, action and review. In the initial cycle existing data from student surveys was analysed to ascertain the current level of engagement and what students perceived as needed to improve their learning. In addition, a preliminary investigation of the literature on Gen Y learning indicated that technology and flexibility were significant factors in their learning style. The preliminary results suggest that students want increased interactivity, yet beyond this they have not reflected sufficiently on what may assist them. The impact of this research is that whilst the academics focus on their own professional practice, this in turn provides an opportunity to impact on student learning

The effect of private equity transactions in South Africa on the South African economy

Magister Legum - LL

A VISUAL AID FOR STATISTICIANS AND MOLECULAR BIOLOGISTS WORKING WITH MICROARRAY EXPERIMENTS

The use of microarrays to measure the expression of large numbers of genes simultaneously is increasing in agriculture research. Statisticians are expected to help biologists analyze these large data sets to identify biologically important genes that are differentially regulated in the samples under investigation. However, molecular biologists are often unfamiliar with the statistical methods used to analyze microarrays. Presented here are methods developed to graphically represent microarray data and various types of errors commonly associated with microarrays to help visualize sources of error. Two case studies were used. In case study one, genes differentially regulated when two corn lines, one resistant and one sensitive, were treated with Aspergillus flavus isolate NRRL 3357 or left untreated were investigated. Analyses and images showing 3 types of variation are shown. Genes were ranked according to fold change and re-ranked after adjusting for potential sources of error. In case two, cotton genes differentially regulated in 1-day-old fiber compared to whole ovules or older fibers were investigated. Data and sources of error were imaged as described for case one and genes with significant changes in gene expression were identified

Entrepreneurial Education and Latina Business Owner Preferences: Do Gender and Race Matter?

The objective of this study is to contribute to the understanding of the Latina entrepreneur and the role that training plays in their personal knowledge, skills, and attitude development. We propose to assess the types of training selected by Latina entrepreneurs in order to begin to identify potential explanations for entrepreneurial performance. Thus, in this paper, we explore the role that gender and minority ethnicity might play on the nature of entrepreneurial training sought and engaged in by business owners of entrepreneurial ventures. Specifically, we compare Latino business owners to non-Latino entrepreneurs and Latina to Latino male entrepreneurs in order to examine whether or not there is an influence of the race/ethnicity of business owners on their selection of business training category. Further, we explore the impact of gender on the choice of business training category. We differentiate training preference as affective (relational) and cognitive (operational). Our findings suggest that there are may be ethnic and gender differences in the type of training preference

Isolation, characterization and partial sequencing of cystine and thiol peptides of pig heart lipoamide dehydrogenase

Pig heart lipoamide dehydrogenase (EC 1.6.4.3) contains ten half-cystines (as cysteic acid) per mole of enzyme bound FAD. Two of these are linked in an intrachain cystine which acts in concert with the flavin during catalysis. A peptic peptide containing this active center disulfide has been isolated and shown to have the sequence: Glu-Thr-Leu-Gly-Gly-Thr-Cys-Leu-Asn-Val-Gly-Cys-Ile-Pro-Ser (Lys, Ala, Leu). The enzyme also contains seven titratable thiols when either 5,5'-dithiobis (2-nitrobenzoic acid) or iodoacetate is used as titrant. Tryptic peptides containing alkylated thiols have been isolated and characterized by amino acid composition and by their positions in two-dimensional chromatography-electrophoresis. On the basis of map position and composition, the peptides containing thiols can be distinguished from one another. The results are compared with recent data of Brown and Perham (Brown, J. P. and Perham, R. N. (1974) Biochem. J. 138, 505-512) on the compositions and partial sequences of tryptic chymotryptic peptides containing half-cystines. The combined data associate nine of the ten half-cystines with unique compositions.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/22230/1/0000664.pd

Identification of Select Fumonisin Forming Fusarium Species Using PCR Applications of the Polyketide Synthase Gene and its Relationship to Fumonisin Production in vitro

A polymerase chain reaction (PCR) based diagnostic assay was used to develop markers for detection of Fusarium verticillioides (=F. moniliforme), a fumonisin producing fungus in maize tissues. Species-specific primers were designed based on sequence data from the polyketide synthase (PKS) gene (FUM1- previously FUM5) responsible for fumonisin production in fungi. Four sets of oligonucleotide primers were tested for their specificity using 24 strains of F. verticillioides, 10 F. proliferatum, and 12 of other Fusarium species. In addition, 13 species of other fungal genera, from four phyla, were tested as negative controls. Among the four sets, primer set B consistently amplified a 419-bp fragment from the DNA 96% of all F. verticillioides strains and 83% of F. proliferatum. All other fungi tested were negative using primer set B. A total of 38% of the F. verticillioides strains grown on a selective liquid medium produced fumonisin and 92% formed the toxin on standard rice medium. When fumonisin formed in culture, PCR assay using primer set B detected every strain of F. verticillioides, but only amplified 80% of F. proliferatum strains that produced the toxin. PCR detection was consistent at 100 pg/μl concentration of genomic DNA from 4 F. verticillioides strains, but varied at 10 pg/μl. Two duplicate greenhouse tests using artificially inoculated maize plants, had greater levels of F. verticillioides detected after re-evaluting using primer set B than from culturing of the tissues. The molecular protocols described in this study requires only 1 day for completion compared to approximately 10 days for cultural work and morphological determination. In conclusion, conventional PCR assay using primer set B provides a sensitive and accurate detection assay that can be used as a primary or secondary confirmation method for identification and occurrence of F. verticillioides within the maize tissues. However, studies using primer set B for fumonisin production determined by strains of F. verticillioides and F. proliferatum will require further verification

Best practices in scaling digital health in low and middle income countries.

Healthcare challenges in low and middle income countries (LMICs) have been the focus of many digital initiatives that have aimed to improve both access to healthcare and the quality of healthcare delivery. Moving beyond the initial phase of piloting and experimentation, these initiatives are now more clearly focused on the need for effective scaling and integration to provide sustainable benefit to healthcare systems.Based on real-life case studies of scaling digital health in LMICs, five key focus areas have been identified as being critical for success. Firstly, the intrinsic characteristics of the programme or initiative must offer tangible benefits to address an unmet need, with end-user input from the outset. Secondly, all stakeholders must be engaged, trained and motivated to implement a new initiative, and thirdly, the technical profile of the initiative should be driven by simplicity, interoperability and adaptability. The fourth focus area is the policy environment in which the digital healthcare initiative is intended to function, where alignment with broader healthcare policy is essential, as is sustainable funding that will support long-term growth, including private sector funding where appropriate. Finally, the extrinsic ecosystem should be considered, including the presence of the appropriate infrastructure to support the use of digital initiatives at scale.At the global level, collaborative efforts towards a less-siloed approach to scaling and integrating digital health may provide the necessary leadership to enable innovative solutions to reach healthcare workers and patients in LMICs. This review provides insights into best practice for scaling digital health initiatives in LMICs derived from practical experience in real-life case studies, discussing how these may influence the development and implementation of health programmes in the future

The association between primary care quality and healthcare utilisation, costs and outcomes for people with serious mental illness: retrospective observational study

Background Serious mental illness (SMI), including schizophrenia, bipolar disorder and other psychoses, is linked with high disease burden, poor outcomes, high treatment costs and lower life expectancy. In the UK, most people with SMI are treated in primary care by general practitioners (GPs), who are financially incentivised to meet quality targets for patients with chronic conditions, including SMI, under the Quality and Outcomes Framework (QOF). The QOF, however, omits important aspects of quality. Objective(s) We examined whether better quality of primary care for people with SMI improved a range of outcomes. Design and setting We used administrative data from English primary care practices that contribute to the Clinical Practice Research Datalink GOLD database, linked to Hospital Episode Statistics, Accident & Emergency (A&E) attendances, Office for National Statistics mortality data, and community mental health records in the Mental Health Minimum Dataset. We used survival analysis to estimate whether selected quality indicators affect the time until patients experience an outcome. Participants Four cohorts of people with SMI depending on the outcomes examined and inclusion criteria. Interventions Quality of care was measured with: i) QOF indicators: care plans and annual physical reviews ;and ii) non-QOF indicators identified through a systematic review (antipsychotic polypharmacy and continuity of care provided by GPs). Main outcome measures Several outcomes were examined: emergency admissions for i) SMI and ii) ambulatory care sensitive conditions (ACSCs); iii) all unplanned admissions; iv) A&E attendances; v) mortality; vi) re-entry into specialist mental health services; vii) costs attributed to primary, secondary and community mental healthcare. Results Care plans were associated with lower risk of A&E attendance (Hazard ratio (HR) 0.74, 95%CI 0.69-0.80), SMI admission (HR 0.67, 95%CI 0.59-0.75), ACSC admission (HR 0.73, 95%CI 0.64-0.83), and lower overall healthcare (£53), primary care (£9), hospital (£26), and mental healthcare costs (£12). Annual reviews were associated with reduced risk of A&E attendance (HR 0.80, 95%CI 0.76-0.85), SMI admission (HR 0.75, 95%CI 0.67-0.84), ACSC admission (HR 0.76, 95%CI 0.67-0.87), and lower overall healthcare (£34), primary care (£9), and mental healthcare costs (£30). Higher GP continuity was associated with lower risk of A&E presentation (HR 0.89, 95%CI 0.83-0.97), ACSC admission (HR 0.77, 95%CI 0.65-0.92), but not SMI admission. High continuity was associated with lower primary care costs (£3). Antipsychotic polypharmacy was not statistically significantly associated with the risk of unplanned admission, death or A&E presentation. None of the quality measures were statistically significantly associated with risk of re-entry into specialist mental healthcare. Limitations There is risk of bias from unobserved factors. To mitigate this, we controlled for observed patient characteristics at baseline and adjusted for the influence of time-invariant unobserved patient differences. Conclusions Better performance on QOF measures and continuity of care are associated with better outcomes and lower resource utilisation and could generate moderate cost savings. Future work Future research should examine the impact of primary care quality on measures that capture broader aspects of health and functioning