Driving economic growth with the power of small businesses : the University of Stellenbosch Business School’s Small Business Academy

The University of Stellenbosch Business School, known as SBS, forms a part of the University of Stellenbosch, a leading global research university. Located in the suburbs of Cape Town, South Africa, SBS offers postgraduate-level academic and executive programmes in Business Management and Administration, Development Finance, and Futures Studies to students from all over the globe. The Small Business Academy, a project of the University of Stellenbosch Business School (SBS), is a multi-stakeholder educational initiative that upskills and uplifts South African small-business owners in low-income communities to capacitate them for long-term business success. The chapter highlights the Small Business Academy (SBA) and how it serves as a development vehicle for economic growth and decent work as set forth in Sustainable Development Goal 8, within a country where the informal sector and small businesses are in desperate need of capacity building interventions. Key stages of the SBA's development will be conveyed: how the project began, how its target population was determined, and ways in which its development programme was adapted to better serve its participants and stakeholders, including the addition of coaching and mentoring as a key enabler for participant progress. Relevant lessons learned and success factors for implementing learning interventions in complex environments are shared, particularly the importance of programmatic agility and the holistic benefits of directly engaging stakeholders in the program. The chapter concludes with a reflection on the project’s impacts and contributions toward SDG 8

Home Literacy Initiatives of Middle School Families During the 2020 Quarantine Period: Transformation in Education?

The coronavirus pandemic changed everything almost overnight for students and their families. The purpose of this qualitative case study, thus, was to investigate the views of families about the sudden change in education for their middle school children, particularly literacy practices, during the pandemic. Drawing upon Bourdieu’s theoretical framework of cultural capital, coupled with socioeconomic status, funds of knowledge, and crisis management, we conducted interviews with 4 parents. Using the in vivo coding data analysis method, we identified some key preliminary findings: all-day-happy-hour, the strange disconnection between teachers and parents, and soft and hard approaches to school-home literacy. Participants revealed very distinctive dispositions to make this “school-home” education work on their own. These parental dispositions and new meaning-making from their children’s education developed into what we referred to as parentagogy, as they determined for themselves the skills they would need and use to help their children succeed in their new roles as parent and educator. This study confirms the importance of parental value in education

Transforming Clinical Practice Guideline Usage Through the Use of a Clinical Decision Support System: An Explorative Study at the University Medical Centre Utrecht

Medical treatments require a lot of knowledge and skills. To safeguard the quality of healthcare in general, Clinical Practice Guidelines (CPG) are written. Different studies show that the quality of healthcare improves by using CPGs. Based on the advancements in IT, a CPG could best be supported through the use of a Clinical Decision Support System (CDSS). In this paper, we seek to transform the use of several CPGs with regards to anti-clotting medicine and treatments through the utilization of a CDSS at the University Medical Centre Utrecht (UMCU) in the Netherlands. Data analysis shows that many of the included CPGs overlap and that the utilization of a CDSS for the determination of anti-clotting medicine and treatments could result in more effective and efficient decision making. Additionally, during the validation of the CDSS, we derived the attitude of the stakeholders towards the use of a CPG in a pilot study comprising a CDSS and identified several success factors that should be taken into account when designing, validating, and implementing CPGs into CDSS

More Connecting with Less Boundaries: The Ontario Consortium of Undergraduate Biology Educators (oCUBE) Model

Founded in 2009, the Ontario Consortium of Undergraduate Biology Educators (oCUBE) is an enthusiastic community of practice dedicated to enhancing the quality and experience of undergraduate biology education within Ontario universities. This consortium has grown since its inception and now supports knowledge mobilization between educators across 17 Ontario universities and colleges. Educators from diverse fields share best practices related to teaching and learning, discuss common issues such as curriculum innovation, provide supportive mentorship for new, future, and experienced faculty, and collaborate on research projects. Communication occurs via monthly online conferencing meetings, a wiki website, monthly newsletters, one-on-one interactions, and an annual UnConference (1,2). In this workshop, participants will experience the interactive UnConference format that oCUBE uses to facilitate our meetings. We will then engage the participants in an interactive simulation of the oCUBE UnConference model by inviting them to provide and select topics/questions for potential discussion , facilitate brief sessions, and scribe outcomes. By the end of the workshop, we hope that those in attendance will have gained resources that will allow them to implement our oCUBE multi-interactive model in order to facilitate knowledge mobilization and foster professional development. 1. Hamlin, K. Unconference.net, Like a conference only better, http://www.unconference.net 2. Follett, J. 2006. Understanding the Unconference, http://www.digital-web.com/articles/understanding_the_unconference

Vital signs prediction and early warning score calculation based on continuous monitoring of hospitalised patients using wearable technology

In this prospective, interventional, international study, we investigate continuous monitoring of hospitalised patients’ vital signs using wearable technology as a basis for real-time early warning scores (EWS) estimation and vital signs time-series prediction. The collected continuous monitored vital signs are heart rate, blood pressure, respiration rate, and oxygen saturation of a heterogeneous patient population hospitalised in cardiology, postsurgical, and dialysis wards. Two aspects are elaborated in this study. The first is the high-rate (every minute) estimation of the statistical values (e.g., minimum and mean) of the vital signs components of the EWS for one-minute segments in contrast with the conventional routine of 2 to 3 times per day. The second aspect explores the use of a hybrid machine learning algorithm of kNN-LS-SVM for predicting future values of monitored vital signs. It is demonstrated that a real-time implementation of EWS in clinical practice is possible. Furthermore, we showed a promising prediction performance of vital signs compared to the most recent state of the art of a boosted approach of LSTM. The reported mean absolute percentage errors of predicting one-hour averaged heart rate are 4.1, 4.5, and 5% for the upcoming one, two, and three hours respectively for cardiology patients. The obtained results in this study show the potential of using wearable technology to continuously monitor the vital signs of hospitalised patients as the real-time estimation of EWS in addition to a reliable prediction of the future values of these vital signs is presented. Ultimately, both approaches of high-rate EWS computation and vital signs time-series prediction is promising to provide efficient cost-utility, ease of mobility and portability, streaming analytics, and early warning for vital signs deterioration

Overcoming ethical and legal obstacles to data linkage in health research: stakeholder perspectives

Introduction Data linkage for health research purposes enables the answering of countless new research questions, is said to be cost effective and less intrusive than other means of data collection. Nevertheless, health researchers are currently dealing with a complicated, fragmented, and inconsistent regulatory landscape with regard to the processing of data, and progress in health research is hindered. Aim We designed a qualitative study to assess what different stakeholders perceive as ethical and legal obstacles to data linkage for health research purposes, and how these obstacles could be overcome. Methods Two focus groups and eighteen semi-structured in-depth interviews were held to collect opinions and insights of various stakeholders. An inductive thematic analysis approach was used to identify overarching themes. Results This study showed that the ambiguity regarding the `correct' interpretation of the law, the fragmentation of policies governing the processing of personal health data, and the demandingness of legal requirements are experienced as causes for the impediment of data linkage for research purposes by the participating stakeholders. To remove or reduce these obstacles authoritative interpretations of the laws and regulations governing data linkage should be issued. The participants furthermore encouraged the harmonisation of data linkage policies, as well as promoting trust and transparency and the enhancement of technical and organisational measures. Lastly, there is a demand for legislative and regulatory modifications amongst the participants. Conclusions To overcome the obstacles in data linkage for scientific research purposes, perhaps we should shift the focus from adapting the current laws and regulations governing data linkage, or even designing completely new laws, towards creating a more thorough understanding of the law and making better use of the flexibilities within the existing legislation. Important steps in achieving this shift could be clarification of the legal provisions governing data linkage by issuing authoritative interpretations, as well as the strengthening of ethical-legal oversight bodies

Broadly Neutralizing Alphavirus Antibodies Bind an Epitope on E2 and Inhibit Entry and Egress

SummaryWe screened a panel of mouse and human monoclonal antibodies (MAbs) against chikungunya virus and identified several with inhibitory activity against multiple alphaviruses. Passive transfer of broadly neutralizing MAbs protected mice against infection by chikungunya, Mayaro, and O’nyong’nyong alphaviruses. Using alanine-scanning mutagenesis, loss-of-function recombinant proteins and viruses, and multiple functional assays, we determined that broadly neutralizing MAbs block multiple steps in the viral lifecycle, including entry and egress, and bind to a conserved epitope on the B domain of the E2 glycoprotein. A 16 Å resolution cryo-electron microscopy structure of a Fab fragment bound to CHIKV E2 B domain provided an explanation for its neutralizing activity. Binding to the B domain was associated with repositioning of the A domain of E2 that enabled cross-linking of neighboring spikes. Our results suggest that B domain antigenic determinants could be targeted for vaccine or antibody therapeutic development against multiple alphaviruses of global concern

Relations between lipoprotein(a) concentrations, LPA genetic variants, and the risk of mortality in patients with established coronary heart disease: a molecular and genetic association study

Background: Lipoprotein(a) concentrations in plasma are associated with cardiovascular risk in the general population. Whether lipoprotein(a) concentrations or LPA genetic variants predict long-term mortality in patients with established coronary heart disease remains less clear. Methods: We obtained data from 3313 patients with established coronary heart disease in the Ludwigshafen Risk and Cardiovascular Health (LURIC) study. We tested associations of tertiles of lipoprotein(a) concentration in plasma and two LPA single-nucleotide polymorphisms ([SNPs] rs10455872 and rs3798220) with all-cause mortality and cardiovascular mortality by Cox regression analysis and with severity of disease by generalised linear modelling, with and without adjustment for age, sex, diabetes diagnosis, systolic blood pressure, BMI, smoking status, estimated glomerular filtration rate, LDL-cholesterol concentration, and use of lipid-lowering therapy. Results for plasma lipoprotein(a) concentrations were validated in five independent studies involving 10 195 patients with established coronary heart disease. Results for genetic associations were replicated through large-scale collaborative analysis in the GENIUS-CHD consortium, comprising 106 353 patients with established coronary heart disease and 19 332 deaths in 22 studies or cohorts. Findings: The median follow-up was 9·9 years. Increased severity of coronary heart disease was associated with lipoprotein(a) concentrations in plasma in the highest tertile (adjusted hazard radio [HR] 1·44, 95% CI 1·14–1·83) and the presence of either LPA SNP (1·88, 1·40–2·53). No associations were found in LURIC with all-cause mortality (highest tertile of lipoprotein(a) concentration in plasma 0·95, 0·81–1·11 and either LPA SNP 1·10, 0·92–1·31) or cardiovascular mortality (0·99, 0·81–1·2 and 1·13, 0·90–1·40, respectively) or in the validation studies. Interpretation: In patients with prevalent coronary heart disease, lipoprotein(a) concentrations and genetic variants showed no associations with mortality. We conclude that these variables are not useful risk factors to measure to predict progression to death after coronary heart disease is established. Funding: Seventh Framework Programme for Research and Technical Development (AtheroRemo and RiskyCAD), INTERREG IV Oberrhein Programme, Deutsche Nierenstiftung, Else-Kroener Fresenius Foundation, Deutsche Stiftung für Herzforschung, Deutsche Forschungsgemeinschaft, Saarland University, German Federal Ministry of Education and Research, Willy Robert Pitzer Foundation, and Waldburg-Zeil Clinics Isny