Leadership and Recruitment: What Leaders Can Learn From Coach Robert Montgomery Knight: A Conceptual View

It has always puzzled me why organizations do not seem to take the same amount of time and energy to interview and recruit prospective employees as that shown by sports teams. In this essay, I will be looking at recruitment and leadership typically found in a business environment and that found in a basketball (sports) context; specifically Division I college basketball

Applying Leadership Criterion of the European Excellence model for achieving Quality Management in Higher Education Institutions

For institutions of higher education to be successful in the future, there is the need to deliver excellence in all its operations. This means that there is a real need to develop more effective and efficient institutional management practices (Steed et al., 2005). In order to reach this goal, many institutions are turning to total quality management models such as the European Foundation for Quality management (EFQM) Excellence Model as an effective and practical tool to support improvement opportunities within higher education establishments. In an introductory text reproduced from the EFQM Excellence Model Higher Education Version (2003), the EFQM Excellence Model itself was to take account of current management thinking, practices and working environment. Here, the Model is defined as a practical tool to help organizations establish an appropriate management system by measuring where they are on the path to excellence, helping them to understand the gaps, and then stimulate solutions confronting them. It is in this way that a model is seen to ensure quality and remains dynamic (Steed et al., 2003: 307-319; EFQM Higher Education Version, 2003). According to Saraiva et al., (2003), among several approaches that can be used to guide the implementation of quality management principles in schools, one that has been followed with success involves the adoption of excellence models to support self-assessment practices and continuous improvement

The effect of distance to health-care facilities on childhood mortality in rural Burkina Faso.

This study aims to investigate the relation between distance to health facilities, measured as continuous travel time, and mortality among infants and children younger than 5 years of age in rural Burkina Faso, an area with low health facility density. The study included 24,555 children born between 1993 and 2005 in the Nouna Health and Demographic Surveillance System. The average walking time from each village to the closest health facility was obtained for both the dry and the rainy season, and its effect on infant (<1 year), child (1-4 years), and under-5 mortality overall was analyzed by Cox regression. The authors observed 3,426 childhood deaths, corresponding to a 5-year survival of 85%. Walking distance was significantly related to both infant and child mortality, although the shape of this effect varied distinctly between the 2 age groups. Overall, under-5 mortality, adjusted for confounding, was more than 50% higher at a distance of 4 hours compared with having a health facility in the village (P < 0.0001, 2 sided). The region of residence was an additional determinant for under-5 mortality. The findings of this study emphasize the importance of geographic accessibility of health care for child survival in sub-Saharan Africa and demonstrate the need to improve health-care access to achieve the Millennium Development Goals

Understanding the Non-adoption of the United Nations Convention on Contracts for International Sale of Goods in Nigeria

Globalisation has created new market opportunities for Nigerian traders, resulting in the growth of international trade in Nigeria. However, the opportunity of a wider market and a broader range of goods, means that Nigerian traders have to grapple with the complexities and transaction costs of foreign laws of different jurisdictions, which are a hindrance to trade. Given the above, there is a need for a uniform framework capable of regulating international trade transactions. The United Nations Convention on Contracts for the International Sale of Goods (CISG) is capable of resolving such conflicts and reducing transaction costs. However, the CISG has not been adopted in Nigeria. In light of this, the thesis considers the reasons for the non-adoption of the CISG in Nigeria. The thesis evaluates the Convention to determine if it is successful based on established criteria. Using the legal transplant theories, the thesis draws up a typology to determine whether the CISG can be considered a successful transplant in Germany and U.S. where it has been adopted. The thesis then examines the possibility, and effects of transplanting the Convention into Nigeria. The thesis also measures the level of awareness of the CISG in Nigeria and the disposition of the key legal actors towards the Convention, which serves as a determinant of adaptability and receptivity of the CISG in Nigeria, where it is adopted. The thesis adopts a doctrinal approach, historical, socio-legal and comparative research methodologies in undertaking the research

Oxford 3-DoF magnetic suspension and balance system: update on recommissioning efforts

This paper provides an update on recommissioning efforts currently underway for the Oxford 3 -DoF Magnetic Suspension and Balance system (MSBS), developed in the mid-1970s to measure lift, drag, and pitching moment of cones at hypersonic rarefied flow conditions representing Earth re-entry flight at high altitudes (>60 km). The balance has not been operated in approximately 20 years and requires a full restoration. A synopsis of the works underway to recommission and update the balance is provided, including the state of the cores and coils

Corrosion Inhibition for Aluminum Alloy in HNO3 Solution using Mangiferaindica Leaf Extract

Corrosion inhibition of copper alloy in 0 3 M HNO and KOH at room temperature using Mangiferaindica leaf extract in different concentrations was studied A Gravimetric technique was employed The result obtained showed that Mangiferaindica leaf extract is a good inhibitor for 0 3 M HNO3 and KOH solution The weight loss corrosion rate and inhibition efficiency were deduced The inhibition efficiency showed a good percentage result with the optimum value of 85 60 and 90 91 in HNO3 and KOH respectively Generally it was observed that the rate of inhibition increased with the concentration of the inhibitor decreased in corrosion rat

An Application of Stochastic Systems on Asset Price Changes for Capital Markets

Applications of Constant Elasticity of Variance (CEV) Equations were considered in assessing the wealth of two different corporate investors and describing the behavior of a security’s volatility over time. The methods of Ito’s were explored and a précised condition of obtaining wealth of each corporate investor is given to illustrate the effectiveness of the systems. Each investment solutions suggest distinctive perceptions on CEV dynamics of assessing wealth of corporate investors. From the stochastic approximation of graphical solutions portrays as follows: the relationship between the wealth and the returns is not perfectly linear; the wealth of investor is directly proportional to the returns of the investment; the wealth is growing at an increasing rate over time; the wealth of the investment is decreasing at steady rate over time. Finally, probability parameter quantified the likelihood of different outcomes such as positive or negative returns on investments. The simulation results presented graphically with the use of MATLAB and discussions of these graphical solutions with relevant parameters were addressed effectively all in this paper

Working class role models in academic medicine – Professor Philip Quirke

Representation of researchers from underprivileged backgrounds in unknown in academic medicine. We present the inspiring experiences of Professor Philip Quirke describing his humble beginnings in the East End of London to becoming an internationally acclaimed academic clinician. Importantly he offers his advice on what someone from a similar background should consider with similar aspirations

Predicting Economic Trends and Stock Market Prices with Deep Learning and Advanced Machine Learning Techniques

The volatile and non-linear nature of stock market data, particularly in the post-pandemic era, poses significant challenges for accurate financial forecasting. To address these challenges, this research develops advanced deep learning and machine learning algorithms to predict financial trends, quantify risks, and forecast stock prices, focusing on the technology sector. Our study seeks to answer the following question: “Which deep learning and supervised machine learning algorithms are the most accurate and efficient in predicting economic trends and stock market prices, and under what conditions do they perform best?” We focus on two advanced recurrent neural network (RNN) models, long short-term memory (LSTM) and Gated Recurrent Unit (GRU), to evaluate their efficiency in predicting technology industry stock prices. Additionally, we integrate statistical methods such as autoregressive integrated moving average (ARIMA) and Facebook Prophet and machine learning algorithms like Extreme Gradient Boosting (XGBoost) to enhance the robustness of our predictions. Unlike classical statistical algorithms, LSTM and GRU models can identify and retain important data sequences, enabling more accurate predictions. Our experimental results show that the GRU model outperforms the LSTM model in terms of prediction accuracy and training time across multiple metrics such as RMSE and MAE. This study offers crucial insights into the predictive capabilities of deep learning models and advanced machine learning techniques for financial forecasting, highlighting the potential of GRU and XGBoost for more accurate and efficient stock price prediction in the technology sector