The influence of transformational leadership on the relationship between an entrepreneurial mindset and corporate entrepreneurship

A research report submitted to the Faculty of Commerce, Law and Management, University of the Witwatersrand, in partial fulfilment of the requirements for the degree of Master of Management specialising in Entrepreneurship and New Venture Creation Johannesburg, 2016Although corporate entrepreneurship has been examined extensively and alike the antecedents of corporate entrepreneurship, have become a key interest to researchers. The examination of organisational and cognitive factors that drive corporate entrepreneurship is an area of study still in its infancy. This research report, aimed to bridge this knowledge gap, by evaluating the effect of transformational leadership and entrepreneurial mindset in enhancing levels of corporate entrepreneurship. This cross-sectional, empirical study is composed of 173 independent samples of management employees, taken from within a major African bank, headquartered in South Africa. The research, based on structural equation modelling, demonstrated that an entrepreneurial mindset and transformational leadership is positively related to higher levels of corporate entrepreneurship. Equally, empirical evidence was discovered, using structural equation modelling and regression analytics, that transformational leadership positively influences the behavioural relationship between the entrepreneurial mindset and corporate entrepreneurship. This occurs through the mediation causal relationship of transformational leadership, between both latent variables, and the bidirectional causal effect between transformational leadership and an entrepreneurial mindset.MT201

GR-391 Insight into current COVID-19 variants and data Science Applications

COVID-19 has undergone several mutations resulting in the emergence of new variants such as Alpha, Beta, Gamma, Delta, and Omicron. Data science plays a vital role in understanding the spread of COVID-19 and its variants. The emergence of new COVID-19 variants has raised concerns about the effectiveness of existing vaccines and treatments. This poster provides insights into the current COVID-19 variants and the data science applications used to monitor and understand their spread. We will showcase the use of SQL to manage and analyze genomic data of SARS-CoV-2 variants, Power BI for visualization and tracking of COVID-19 cases and deaths, and machine learning algorithms for variant classification and prediction of transmission. The poster highlights the importance of integrating data science tools in COVID-19 research for effective variant surveillance, risk assessment, and mitigation strategies

CLASSIFICATION OF RISK IN PSYCHIATRY

Psychiatric risk-assessments generally quantify risk using broad, categorical, indicators (e.g., high-risk, low-risk). We examined reliability of such indicators when applied by mental-health professionals. Four versions of a questionnaire were used, each specifying a different clinical outcome along with a range of different probabilities at which that outcome might occur. Respondents classified each probability, allowing a comparison of the level of likelihood at which different professionals would apply the terms \u27high-risk\u27, \u27medium-risk\u27 and \u27low-risk\u27. We found little consistency among professionals who assessed risk for the same outcomes. Moreover, there were also large and unpredicted differences in response-profiles between the 4 clinical outcomes. These findings raise concerns about the communication value of current risk-assessment terminology

Influence of chewing gum containing natural host proteins with antimicrobial properties on saliva in subjects with hyposalivation

Biotène® products have been developed with the intention of preventing tooth decay, plaque accumulation and oral infections in individuals with xerostomia (dry mouth). Not much is known about the effect of Biotène® chewing gums. Biotène® chewing gum contains host proteins. Due to these contents the manufacturer claims that Biotène® chewing gum is an “enzyme gum” that “boosts and strengthens the mouths natural defences”. The aim of this study was to investigate the effect of Biotène® chewing gum on saliva flow rates, saliva buffering capacity, plaque index, as well as salivary Streptococcus mutans and Lactobacilli counts, in healthy subjects with hyposalivation. One hundred and nine subjects with an age range of 18 to 23 years were screened for hyposalivation. Hyposalivation is a reduced salivary flow rate in a subject based on examination of the subject. Thirteen healthy subjects, who initially presented with hyposalivation, were included in the study. A baseline laboratory analysis of saliva was performed. Saliva was collected at rest and with masticatory stimulation, and measured. Resting saliva is saliva produced without any stimulation and can be obtained by allowing the subject to passively drool into a sputum jar. Stimulated saliva is produced as a result of stimulation of the salivary glands and may be obtained by allowing subject to chew inert rubber tubing while expectorating into a sputum jar. Buffering capacity was performed on both the saliva samples. Plaque index and DMFT was measured. Bacterial counts such as S. mutans and Lactobacilli counts were performed on the stimulated saliva. Subjects were given rubber tubing, xylitol chewing gum or Biotène® chewing gum to use for 2 weeks. A rubber tubing phase was introduced into the study to eliminate the effect of masticatory stimulation, which any chewing gum can provide. A xylitol-containing chewing gum (xylitol) phase was also introduced into the study in order to eliminate the effect of xylitol, as Biotène® chewing gum contains xylitol. A second laboratory analysis of saliva was performed. After a two weeks wash out period the second test product was given and the same procedure was repeated with the third product. The results showed that two weeks use of Biotène® chewing gum had no significant effect on the resting and stimulated saliva flows. It did not increase the buffering capacity of either the resting or stimulated saliva samples. Although it did not reduce the plaque index and S. mutans counts, it significantly reduced the Lactobacilli counts. Xylitol chewing gum, which was used as a control to eliminate the xylitol effect from the Biotène® chewing gum, significantly increased the stimulated saliva, reduced the plaque index and the salivary Lactobacilli count. Biotène® chewing gum which contains host proteins has no beneficial effects regarding saliva flow rate or against dental plaque and therefore against dental caries

Multi-Cloud System For Multimedia Content Protection

Complete multi-cloud framework for interactive media content assurance. The framework bolsters different types of interactive media content and can successfully use changing figuring assets. • Novel technique for making signatures for 3-D videos. This strategy makes marks that catch the profundity in stereo substance without computing the depth signal itself, which is a computationally costly process. • New plan for an appropriated coordinating motor for high-dimensional multimedia items. This outline gives the primitive capacity of discovering - closest neighbors for vast scale datasets. The outline likewise offers an assistant capacity for further preparing of the neighbors. This two-level outline empowers the proposed framework to effectively bolster distinctive sorts of interactive multimedia content

Clinical encounters about obesity: Systematic review of patients' perspectives.

Guidelines recommend clinicians intervene on obesity but it is unclear how people with overweight react. In this systematic review, we searched 20 online databases for qualitative studies interviewing people with overweight or obesity who had consulted a primary care clinician. Framework synthesis was used to analyse 21 studies to produce a new theoretical understanding. Consultations in which patients discussed their weight were more infrequent than patients would have liked, which some perceived was because they were unworthy of medical time; others that it indicated doctors feel being overweight is not a serious risk. Patients reported that doctors offered banal advice assuming that the patient ate unhealthily or was not trying to address their weight. Patients reported doctors assumed that their symptoms were due to overweight without a proper history or examination, creating concern that serious illness may be missed. Patients responded positively to offers of support for weight loss and active monitoring of weight. Patients with overweight internalize weight stigma sensitizing them to clues that clinicians are judging them negatively, even if weight is not discussed. Patients' negative experiences in consultations relate to perceived snap judgements and flippant advice and negative experiences appear more salient than positive ones

An Approach for Loan Approval Prediction Using Machine Learning

Banking sector is one such field where the company needs more accurate results after analysis. There are many people applying for bank loans from banks or other finance companies each day. But the banks cannot provide loan to every individual who is applying for loan. There is a very complex task that the bank employees do to study an analyze if the applicant is genuine or not. To find this out, there are a lot of factors to be considered. Going through this huge amount of data can be a really difficult task and yet one cannot be sure if the applicant will be able to pay back the loan within the given time or not. Objective of the paper is to make thorough analysis of the test data and make predictions if the applicant is genuine or not. For this process, we are using Machine Learning where the trained data is used to make predictions

Comparative Analysis of Experimental and Numerical Investigation on Thermophysicalproperties in Hydro Carbon Mixtures using Jouyban-Acree Model at Various Temperatures

The thermophysical properties of liquid mixtures provide additional information regarding molecular interactions. A perusal of the literature revealed that the predictions of thermophysical properties of liquid mixtures are scarce. With an aim, the thermophysical properties of viscosity, excess molar volume VE and viscosity deviations Δη of liquid mixtures are predicted by using various nonlinear models. In this reseach Jouyban-Acree viscosity models have been used for predicting viscosity of Acetophenone with P-xylene and 1, 4 Dioxane with Benzene at different mole fractions measured at various temperatures in the atmospheric pressure condition. From experimentation excess volumes, VE, and deviations in viscosities, Δη, of mixtures at infinite dilutions have been obtained. The measured systems show positive VE and negative Δη with increasing temperatures. From the positive excess molar volume, when aromatics, which exist in a highly associated form in the pure state, are mixed with polar solvents (ketones), the monomerization occurs and new specific interactions appear in the solution.The negative viscosity deviation depends on the size and shape of the molecules and molecular interactions. These measured data tailored to the Jouyban-Acree nonlinear models to derive the binary coefficients Jouyban-Acree model is more adequate for the thermo physical and the standard deviation was found to be < 2.06 %. The molecular interactions existing between the components and comparison of liquid mixtures were also discussed

Students bring 'ExquiSeed' to fruition

The labour of about 40 students and eight lecturers from University Putra Malaysia (UPM) in the form of a newspaper was delivered yesterday. Aptly named ExquiSeed, the 24-page newspaper was produced by the students in the Journalism on Campus project, initiated by The New Straits Times Press (M) Berhad