Volume XI Issue IX

The consideration of wine quality before consumption or use is not a new decision scheme across ages, fields, and people. Gone were the days when quality of wine solely depended on taste or other physical checks. In this age of data science and machine learning, we can make decisions on the best wine quality with reference to different features/variables. This work was done with in predicting the dependent variable while using existing models to analyze the independent variables. This work utilizes the R programming language for this prediction, while comparing different machine learning models like Linear regression, Neural network, Naive Bayes Classification, Linear Discriminant Analysis (LDA), Classification and Regression Trees (CART), k-Nearest Neighbors (kNN), Support Vector Machines (SVM) with a linear kernel, and Random Forest (RF). The provided data was divided into the testing and training portions with parts for validation. It was achieved that Random Forest has a better model for this prediction when cross cross-validated in 10-folds. The accuracy was then used to select the optimal model. Hence, alcohol is the feature variable that contributes more to wine quality while volatile acidity and chloride contribute the least to the quality of wine. This would assist breweries in determining the right additions and subtraction when wine quality is in question

Well-testing is a method of determining reservoir parameters that involve altering the output flow rate of an oil or gas well. Data from well-tests are used to estimate reserves, which is utilized to determine whether reservoirs are economically viable. The wellbore of a well can be damaged during well-drilling and completion procedures. Oil or gas output may suffer as a result of this damage. The data collected after well testing is examined to determine factors such as permeability, skin, and starting reservoir pressure. This is critical information for determining whether or not the well has been harmed. The goal is to conduct a well-test analysis on buildup test data to identify wellbore formation issues. This was accomplished by analyzing two buildup test data sets for well A3 and well J in the Gwuana and Akota fields, respectively, using Saphir. According to the results, wells A3 and J are damaged, with a positive skin score of 10. Both wells have initial reservoir pressures of 3591.38psia and 5384.54psia, respectively. Well A3 has a permeability of 21.3 md, but well J has a permeability of 107 md. To see how well skin affected productivity, an IPR plot of pwf vs q was created for well A3. According to the analysis, wells A3 and J are damaged, and they should be stimulated either by hydraulic fracturing or acidizing.

Given the deficiency of many countries in achieving the Millennium Development Goal (MDGs), the United Nations at its 2015 General Assembly, launched the Sustainable Development Goals (SDGs) as a new developmental strategy with a new terminal date for 2030. Countries including Nigeria, can effectively achieve most of the SDGs (reduce poverty by half, zero hunger and decent work and economic growth) if they emphasise the development of the nature, role and productivity of the private sector. This paper seeks to examine the general relevance of SDGs and assess the role of private sector in achieving SDGs in Nigeria. The methodology adopted is narrative textual; use was made of secondary sources of data to achieve this objective; It is found that, Nigeria is one among the 18 countries that are off track to halve multidimensional poverty by 2030. This is manifest in the high unemployment and dimensionally poor population (Poverty World Headquarters) among other factors, resulting to general low SDGs performance score. It also reveals that, the Nigerian SDGs implementare not strategic in the engagement of the private sector in the implementation of SDGs in Nigeria; low involvement of private sector in the national medium development plan, poor sensitization and awareness about SDGs among private sector operators leading to their non-inclusion of SDGs in the annual plans. It is recommended that, there should be increased strategic private sector engagement in SDGs implementation through awareness and conscious planning.

This study examined on the distributed leadership practices by principals working in type 2 and type 3 schools in Colombo District, Sri Lanka. The objectives of this study were to identify how principals and teachers understand the concept of distributed leadership; how distributed leadership practices enhance teaching and learning; and what challenges principals and teachers face when devolving and practicing leadership responsibilities in their schools. Using random sampling method altogether 08 schools, 08 principals, 08 sectional heads and 150 teachers were selected for the study. Both questionnaires and semi-structured interviews were used to gather necessary data and information. The findings revealed that all the principals in the type 2 and type 3 schools fully understood the concept of distributed leadership. However, a significant number of teachers in both types schools have not understood the concept of distributed leadership. The study further revealed that the distributed leadership practices in both types schools did not contribute to enhance the quality of instruction to a satisfactory level. It was further revealed from this study that a significant number of teachers and principals in both types schools face number of challenges when practicing distributed leadership roles due to the major challenge of retention of experienced teachers as they trying to get transfers to the so called 1AB schools, insufficient resources and unsatisfactory collaborative working culture.

In recent years, innumerable applications of silver and gold nanoparticles in the field of medicine, agriculture, industries, especially in textile and garment industries due eco-friendly behaviour and health awareness, for this purpose a burst of research activities has been seen in the synthesis and characterization of noble metals like Nano gold and Nano silver particles in the field of physics and chemistry, but calculations like absorption, extinction and scattering coefficients using mathematical simulations by Mie’s theory playing important role in the field of basic sciences, since materials in the nanometer regime display wonderful size-dependent optical, electronic, magnetic, chemical and medicinal properties, which are remarkably different from its bulk behavior. There are numerous possible applications for such Nano scale materials in developing industrial and medical fields especially textile and fabric industries, due to its unique property of high surface area and exceptional surface activity. These nanoparticles with different sizes show the different extinction, absorption and scattering coefficients. These coefficients can be easily evaluated with the help of mathematical Maxwell”s Electromagnetic and Mie's scattering theory. These size calculated Nanoparticles are very important in the fabric design technology in the textile industries.

The study assessed the implications of wastes and waste management on socio-economic growth of South-East, Nigeria. A descriptive research design was adopted in the study. The study area was Aba, a city in the southeast of Nigeria and the commercial center of Abia State. The target population for the study comprised of the people leaving within the study area (Aba), which was about 2,534,265 at the time of the study. The sample size was determined using the Cochran method and was computed to be 288 people. Random sampling technique was used in collecting data via the use of survey questionnaire. The primary data collected from the study participants were analysed descriptively using SPSS. From the study findings, 78.5% of the study participants indicated that waste management has a positive influence on standard of living in the study area. According to 75% of the study sample size, the general health status of individuals is influenced positively by waste management. 69.6% of the study sample indicated a positive influence of waste management on employment status in the study area. From the test of hypotheses conducted, waste management does significantly impact on standard of living in Southeast geopolitical zone of Nigeria, waste management does significantly impact on general health status in Southeast geopolitical zone of Nigeria and waste management does significantly impact on employment status in Southeast geopolitical zone, Nigeria

This study probed the impingement of capital market instruments on firm’s development in Nigeria. The objectives of the study were to determine the effect of market capitalization on firm’s profitability, value of securities traded in the markets on firm’s total capital employed and all share indexes on firm’s total assets. The study adopted ex-post facto research design. An annual time series was collected from Central Bank of Nigeria (CBN) statistical Bulletin (2020) and Annual report of Unilever Nig. Plc for a period of fifteen (15) years ranging from 2006 – 2020. The hypotheses set out to for this work were examined and analyzed, using simple linear regression through E-views 9. The findings of the study revealed that market capitalization (0.128965) has a positive relationship with firm’s profitability, value of traded securities (1.173329) has a positive relationship with total capital employed and all share indexes (0.106388) has a positive relationship with firm’s total assets. The test of hypotheses revealed that market capitalization (p=0.0033<0.05) is statistically significant with firm’s profitability, value of traded securities (p=0.0935>0.05) is statistically insignificant with firm’s total capital assets and all share index (p=0.0169>0.05) is statistically insignificant with firm’s total assets. Following from the results of the analysis, it was recommended that a more vibrant Security and Exchange Commission (SEC) should be put in place with a view of ensuring a stronger regulatory and supervisory capacities activities in the capital market