Patterns of persistence among engineering students at a South African university: A decision tree analysis

Globally, there is growing concern about student progression in most higher education institutions. In this study, we examined patterns of persistence among students who began their engineering degree at the University of KwaZulu-Natal (UKZN) in 2012 and 2013. The sample was restricted to 1370 incoming students who were tracked to 2019, allowing for a 7-year graduation period for the initial cohort. The data were analysed using descriptive statistics as well as the decision tree approach – a highly visual data-mining technique which helps identify subgroups and relationships that are often difficult to detect through traditional statistical methods. The results from these analyses indicate that up to 50% of students enrolled in the School of Engineering had chosen engineering as their first choice. Approximately 40% had persisted in engineering, 50% had withdrawn by the time of this survey, while the remaining 10% were still registered in the engineering programme. Departure from engineering occurs most in the first year, while graduation most likely occurs after 5 years of registration. Student persistence in engineering can also be classified based on first-year accumulated credits, admission point scores, race, and financial aid, of which first-year accumulated credits is the most critical factor. Overall, our study suggests that understanding failure in the first year might be the missing link in our understanding of student persistence in engineering.Significance: The study makes several contributions to the field. First, the issue of student persistence is of concern to higher education institutions, not only in South Africa but globally. For institutions to improve student outcomes, they need to understand the reasons behind attrition. Second, in our analysis, we separate students who withdraw from the university and those who switch to other programmes within the same university. Most studies on student progression treat withdrawing students as a single population, which might lead to inaccurate prediction of student outcomes. Third, we draw on data-mining methods and present an interesting way of classifying students using both enrolment data as well as the rules derived from each node of the classification tree. The classification tree analysis method is highly visual and helps identify subgroups and relationships, which might be difficult to detect through traditional statistical methods. The information derived from the classification trees can be used to identify students who might be at risk of failing timeously and come up with interventions that will support them

Bulk-edge correspondence and long range hopping in the topological plasmonic chain

The existence of topologically protected edge modes is often cited as a highly desirable trait of topological insulators. However, these edge states are not always present. A realistic physical treatment of long-range hopping in a one-dimensional dipolar system can break the symmetry that protects the edge modes without affecting the bulk topological number, leading to a breakdown in bulk-edge correspondence (BEC). Hence, it is important to gain a better understanding of where and how this occurs, as well as how to measure it. Here we examine the behaviour of the bulk and edge modes in a dimerised chain of metallic nanoparticles and in a simpler non-Hermitian next-nearest-neighbour model to provide some insights into the phenomena of bulk-edge breakdown. We construct BEC phase diagrams for the simpler case and use these ideas to devise a measure of symmetry-breaking for the plasmonic system based on its bulk properties. This provides a parameter regime in which BEC is preserved in the topological plasmonic chain, as well as a framework for assessing this phenomenon in other systems

Transforming undergraduate education in geriatric medicine:an innovative curriculum at Bristol Medical School

The World Health Organization (WHO) advocates investment in high-quality undergraduate education in geriatric medicine as a means of meeting the future needs of the aging population. However, there is a lack of evidence for the optimal delivery of training in this area. Rigorous pedagogical research is required to determine the most effective way to equip tomorrow’s doctors with the skills and knowledge to care for older adults with complex health and social care needs. The transition between two undergraduate medical curricula meant that Bristol Medical School (BMS) was uniquely positioned to innovate and evaluate undergraduate education in geriatric medicine. This transition marked BMS’ departure from a ‘traditional’ curriculum to case-based learning. The outgoing curriculum included a 4-week unit in geriatrics, whilst the new programme includes an 18-week clerkship titled ‘Complex Medicine in Older People’ (CMOP). CMOP is a clinical clerkship with 18 cases at its core, covering the fundamental aspects of geriatric medicine. The core cases and clinical learning are enhanced with five expert lectures, six tutorials and three journal clubs. Reflective practice is modelled and promoted with Balint groups and a book club. Consolidative workplace-based assessments and clinical portfolio mirror those used in postgraduate training, preparing students for professional practice. CMOP is iteratively improved in real-time using staff and student feedback. This marked shift in mode and duration of teaching affords the opportunity to evaluate the impact of differing education in geriatrics, providing an evidence-based model for teaching on aging. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s41999-022-00690-w

Combined tissue and fluid proteomics with Tandem Mass Tags to identify low-abundance protein biomarkers of disease in peripheral body fluid: An Alzheimer's Disease case study

RATIONALE: Ideal biomarkers are present in readily accessible samples including plasma and cerebrospinal fluid (CSF), and are directly derived from diseased tissue, therefore likely to be of relatively low abundance. Traditional unbiased proteomic approaches for biomarker discovery have struggled to detect low-abundance markers due to the high dynamic range of proteins, the predominance of hyper-abundant proteins, and the use of data-dependent acquisition mass spectrometry (MS). To overcome these limitations and improve biomarker discovery in peripheral fluids, we have developed TMTcalibrator™; a novel MS workflow combining isobarically labelled diseased tissue digests in parallel with an appropriate set of labelled body fluids to increase the chance of identifying low-abundance, tissue-derived biomarkers. METHODS: A disease relevant cell line was labelled with TMT® in a range of concentrations generating a multi-point calibration curve. Peripheral biofluid samples were labelled with the remaining tags and quantitative analysis was performed using an Orbitrap Fusion Tribrid mass spectrometer with a Top10 CID-HCD MS3 synchronous precursor selection (SPS) method. SPS allowed direct analysis of non-depleted, unfractionated CSF samples with complete profiling of six individual samples requiring only 15 hours of MS time, equivalent to 1.5 h per sample. RESULTS: Using the TMTcalibrator™ workflow allowed the identification of several markers of microglia activation that are differentially quantified in the CSF of patients with Alzheimer's disease (AD). We report peptides from 41 proteins that have not previously been detected in the CSF, that appear to be regulated by at least 60% in AD. CONCLUSIONS: This study has demonstrated the benefits of the new TMTcalibrator™ workflow and the results suggest this is a suitable and efficient method of detecting low-abundance peptides within biological fluids. The use of TMTcalibrator™ in further biomarker discovery studies should be considered to overcome some of the limitations commonly associated with more conventional approaches

Loop-mediated isothermal amplification (LAMP) assays for the species-specific detection of Eimeria that infect chickens

<p>Abstract</p> <p>Background</p> <p><it>Eimeria </it>parasites can cause the disease coccidiosis in poultry and even subclinical infection can incur economic loss. Diagnosis of infection predominantly relies on traditional techniques including lesion scoring and faecal microscopy despite the availability of sensitive molecular assays, largely due to cost and the requirement for specialist equipment. Despite longstanding proven efficacy these traditional techniques demand time and expertise, can be highly subjective and may under-diagnose subclinical disease. Recognition of the tight economic margins prevailing in modern poultry production and the impact of avian coccidiosis on poverty in many parts of the world has highlighted a requirement for a panel of straightforward and sensitive, but cost-effective, <it>Eimeria </it>species-specific diagnostic assays.</p> <p>Results</p> <p>Loop-mediated isothermal amplification (LAMP) is an uncomplicated, quick and relatively inexpensive diagnostic tool. In this study we have developed a panel of species-specific LAMP assays targeting the seven <it>Eimeria </it>species that infect the chicken. Each assay has been shown to be genuinely species-specific with the capacity to detect between one and ten eimerian genomes, equivalent to less than a single mature schizont. Development of a simple protocol for template DNA preparation from tissue collected post mortem with no requirement for specialist laboratory equipment supports the use of these assays in routine diagnosis of eimerian infection. Preliminary field testing supports this hypothesis.</p> <p>Conclusions</p> <p>Development of a panel of sensitive species-specific LAMP assays introduces a valuable new cost-effective tool for use in poultry husbandry.</p

Bolus ingestion of whey protein immediately post-exercise does not influence rehydration compared to energy-matched carbohydrate ingestion

Whey protein is a commonly ingested nutritional supplement amongst athletes and regular exercisers; however, its role in post-exercise rehydration remains unclear. Eight healthy male and female participants completed two experimental trials involving the ingestion of 35 g of whey protein (WP) or maltodextrin (MD) at the onset of a rehydration period, followed by ingestion of water to a volume equivalent to 150% of the amount of body mass lost during exercise in the heat. The gastric emptying rates of the solutions were measured using 13C breath tests. Recovery was monitored for a further 3 h by the collection of blood and urine samples. The time taken to empty half of the initial solution (T1/2) was different between the trials (WP = 65.5 ± 11.4 min; MD = 56.7 ± 6.3 min; p = 0.05); however, there was no difference in cumulative urine volume throughout the recovery period (WP = 1306 ± 306 mL; MD = 1428 ± 443 mL; p = 0.314). Participants returned to net negative fluid balance 2 h after the recovery period with MD and 3 h with WP. The results of this study suggest that whey protein empties from the stomach at a slower rate than MD; however, this does not seem to exert any positive or negative effects on the maintenance of fluid balance in the post-exercise period