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
- Olatunde David Akanbi Department of Material Science and Engineering, Case Western Reserve University, United States.
- Taiwo Mercy Faloni Department of Biology, Case Western Reserve University, United States.
- Sunday Olaniyi Department of Microbiology, Obafemi Awolowo University.
References
[1] Dahal, K.R., Dahal, J.N., Banjade, H. and Gaire, S. (2021) Prediction of Wine Quality Using Machine Learning Algorithms. Open Journal of Statistics, 11, 278-289 [2] Ebeler S. (1999) “Flavor Chemistry — Thirty Years of Progress: chapter Linking flavour chemistry to sensory analysis of wine”. Kluwer Academic Publishers, 409–422. [3] Legin, Rudnitskaya, Luvova, Vlasov, Natale and D'Amico. (2003) “Evaluation of Italian wine by the electronic tongue: recognition, quantitative analysis and correlation with human sensory perception”. Analytica Chimica Acta 484 (1): 33–34 [4] Akanbi O, Abegunde O, Design and Implementation of Mobile Information System for Federal Road Safety Corps (FRSC) of Nigeria. Int J Sens Netw Data Commun, 9 (2020). [5] Ceyhun Ozgur, Taylor Colliau, Grace Rogers, Zachariah Hughes, MatLab vs. Python vs. R, J. data sci. 15(2021), no. 3, 355-372, DOI 10.6339/JDS.201707_15(3).0001 https://www.kaggle.com/datasets/yasserh/wine-quality-dataset [6] V. Preedy, and M. L. R. Mendez, “Wine Applications with Electronic Noses,” in Electronic Noses and Tongues in Food Science, Cambridge, MA, USA: Academic Press, 2016, pp. 137-151 [7] Jr, R.A., de Sousa, H.C., Malmegrim, R.R., dos Santos Jr., D.S., Carvalho, A.C.P.L.F., Fonseca, F.J., Oliveira Jr., O.N. and Mattoso, L.H.C. (2004) Wine Classification by Taste Sensors Made from Ultra-Thin Films and Using Neural Networks. Sensors and Actuators B: Chemical, 98, 77-82. https://doi.org/10.1016/j.snb.2003.09.025 [8] Larkin, T. and McManus, D. (2020) An Analytical Toast to Wine: Using Stacked Generalization to Predict Wine Preference. Statistical Analysis and Data Mining: The ASA Data Science Journal, 13, 451-464. https://doi.org/10.1002/sam.11474 [9] Kunal Thakkar et al, (IJCSIT), “AHP and Machine Learning Techniques for Wine Recommendation” International Journal of Computer Science and Information Technologies, Vol. 7 (5), 2016, 2349-2352 [10] Kavuri N. C. and Madhusree Kundu. “ART1 Network: Application in Wine Classification”, International Journal of Chemical Engineering and Applications, Vol. 2, No. 3, June 2011. [11] N. H. Beltran, M. A. Duarte- MErmound, V. A. S. Vicencio, S. A. Salah, and M. A. Bustos, “Chilean wine classification using volatile organic compounds data obtained with a fast GC analyzer,” Instrum. Measurement, IEEE Trans., 57: 2421-2436, 2008. [12] B. Chen, C. Rhodes, A. Crawford, and L. Hambuchen, “Wineinformatics: applying data mining on wine sensory reviews processed by the computational wine wheel,” IEEE International Conference on Data Mining Workshop, pp. 142-149, Dec. 2014. [13] Hackenberger BK. R software: unfriendly but probably the best. Croat Med J. 2020 Feb 29;61(1):66-68. doi: 10.3325/cmj.2020.61.66. PMID: 32118381; PMCID: PMC7063554. [14] Brittain, Jim; Cendon, Mariana; Nizzi, Jennifer; and Pleis, John (2018) "Data Scientist’s Analysis Toolbox: Comparison of Python, R, and SAS Performance," SMU Data Science Review: Vol. 1: No. 2, Article 7. [15] Ozgur, Ceyhun & Jha, Sanjeev & Shen, Yiming. (2021). R and Python for Teaching Purposes. https://daily.sevenfifty.com/making-a-case-for-premium-vinho-verde/: accessed August 24th, 2022 [16] Moreno, Gonzalez-Weller, Gutierrez, Marino, Camean, Gonzalez and Hardisson. (2007) “Differentiation of two Canary DO red wines according to their metal content from inductively coupled plasma optical emission spectrometry and graphite furnace atomic absorption spectrometry by using Probabilistic Neural Networks”. Talanta 72 263–268. [17] Yu, Lin, Xu, Ying, Li and Pan. (2008) “Prediction of Enological Parameters and Discrimination of Rice Wine Age Using Least-Squares Support Vector Machines and Near Infrared Spectroscopy”. Agricultural and Food Chemistry 56 307–313. [18] Beltran,Duarte-Mermoud, Soto Vicencio, Salah and Bustos. (2008) “Chilean Wine Classification Using Volatile Organic Compounds Data Obtained With a Fast GC Analyzer”. IEEE Transactions on Instrumentation and Measurement 57 2421-2436 [19] Cortez, P., Cerdeira, A., Almeida, F., Matos, T. and Reis, J. (2009) Modeling Wine Preferences by Data Mining from Physicochemical Properties. Decision Support Systems, Elsevier, 47, 547-553. https://doi.org/10.1016/j.dss.2009.05.016
Olatunde David Akanbi, Taiwo Mercy Faloni, Sunday Olaniyi, "Prediction of Wine Quality: Comparing Machine Learning Models in R Programming" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.11 issue 9, September 2022, pp.01-06 DOI: https://dx.doi.org/10.51583/IJLTEMAS.2022.11901
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.
- Page(s): 07-20
- Date of Publication: 10 October 2022
- Ogidi Triumphant Ese Department of Petroleum Engineering, Federal University of Petroleum Resources, Effurun, Delta State, Nigeria
- Ogugu Augustine Abiodun Department of Petroleum Engineering and Geosciences, Petroleum Training Institute, Effurun, Nigeria
References
[1] Furui, K., Zhu, D., Hill, A.D. A comprehensive skin-factor model of horizontal well completion performance. SPE Production and Facilities, P.207-220, doi:10.2118/84401-PA. (2005). [2] Ouyang, L.B., and Huang, B. An evaluation of well-completion impacts on the performance of horizontal and multi-lateral wells. SPE- 96530, Paper presented at the 2005 SPE annual technical conference and exhibition held in Dallas, Texas, USA, doi:10.2118/SPE-96530. (2005) [3] Sanni, M. Petroleum Engineering principles, Calculations, and Workflows(Geophysical Monograph Series Book 237) (1st ed.). (2018). [4] Slotte, P. A., Berg, C. F. Lecture notes in well-testing Copyright notes. (2017). [5] Owayed, J., Al Rbeawi S., Tiab, D. Easy technique for calculating productivity index of horizontal wells. Journal of engineering research, University of Kuwait, Vol.1 (1), P. 335-358. (2013) [6] Fanchi, J. R., & Christiansen, R. L. Introduction to petroleum engineering. In Introduction to Petroleum Engineering. https://doi.org/10.1002/9781119193463.(2016). [7] Elshahawi, H. M., Gad, K. H. Estimation of skin for high deliverability gas well tests,” in SPE Middle East Oil Show. Paper No. SPE 68144-MS. (2001), [8] Laura, & Hofer, J. But were afraid to ask. Nation, 292(2–3), 2. (2011). [9] Cobanoglu, M., Shukri, I. An integrated approach for reservoir characterization of condensate banking using pressure transient analysis PTA: A case study using data from five gas condensate fields in the sultanate of Oman. International Petroleum Technology Conference 2020, IPTC 2020. https://doi.org/10.2523/iptc-20249-ms. (2020a). [10] Agarwal, R. G., Al-Hussainy, R., Ramey, Jr. H. J. An investigation of wellbore storage and skin effect in unsteady liquid flow: I. Analytical treatment,” SPE J. 10(03), 279–290 (1970). [11] Johansen, T. E. Principles of Well Test Interpretation . (2014). [12] Alhetari, N. Formation Damage in Oil and Natural Gas Reservoirs. May. https://doi.org/10.13140/RG.2.2.15703.06563. (2017). [13] Lyons, W. C., Plisga, G. J., Lorenz, M. D. Standard Handbook of Petroleum and Natural Gas Engineering. In Standard Handbook of Petroleum and Natural Gas Engineering. https://doi.org/10.1016/C2010-0-64695-5. (2015). [14] Exploration, P. Effect of reservoirs boundaries on well responses. In Handbook of Petroleum Exploration and Production. 3, pp. 205–271. https://doi.org/10.1016/S1567-8032(03)80031-9.(2002).
Ogidi Triumphant Ese, Ogugu Augustine Abiodun, "Well Test Analysis in The Determination of Wellbore Formation Problems (Skin Factor)" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.11 issue 9, September 2022, pp.07-20 URL: https://ijltemas.in/DigitalLibrary/Vol.11Issue9/07-20.pdf
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.
- AIKOR Shirgba Timothy Department of Supply Chain Management Federal University of Technology, Owerri-Nigeria
- Ejem A. Ejem Department of Supply Chain Management Federal University of Technology, Owerri-Nigeria
References
[1] Adejoke Aderelope-Adefulire, (2021). A Paper presented at Economy Summit on “Translating Global Goals to Local Businesses in Nigeria”, Chida Events Centre, Abuja, on 14th September, 2021. [2] Aikor S.T, (2022). SMEs Supply Chain Finance: The Role of Microfinance Banks Activities in Abuja (FCT) -Nigeria, World Journal of Innovative Research (WJIR) ISSN: 2454-8236, Vol.12, Issue-1, January 2022, Pages 06-12. [3] Ban K. M, (2015). Foreword: United Nations Millennium Development Goals (MDGs) Report. [4] Engfeldt (2009). The Stockholm Conference Report on MSMEs Development, 1972. [5] Federal ministry Of Finance and National Planning, (2021). Medium-Term National Development Plan (MTNDP 2021-2025) [6] Heinrich & Melina (2013). Donor Partnerships with Business for Private Sector Development: What Can We Learn from Experience? Working Paper, Donor Committee for Enterprise Development, Cambridge. [7] Hestad D, (2021). The Evolution of Private Sector Action in Sustainable Development, Brief 12, International Institute for Sustainable Development. [8] Igwe C.N., Adebayo M.S., Olakanmi O.A., Ogbonna I.G., and Aina O.S. (2013), Promoting wealth and job creation in Nigeria-Review of the Role of Entrepreneurship. Journal of Sustainable Development Studies 3(1). [9] Kindornay, Shannon & Reilly-King, (2013). Investing in the Business of Development: Bilateral Donor Approaches to Engaging the Private Sector. Ottawa: The North-South Institute and Canadian Council for International Co-operation. [10] Kurokawa, Kiyoto, Fletcher Tembo & Dirk Willem Velde. (2008). “Donor Support to Private Sector Development in Sub-Saharan Africa: Understanding the Japanese OVOP Programme.” JICA-ODI Working Paper 290, Overseas Development Institute, London. [11] Martins R. & Shaohua C., (2017) Welfare-Consistent Global Poverty Measures, working paper 23739 http:/www.nber.org/papers/w23739 assessed on 16th February, 2022. [12] National Bureau of Statistics/Small and Medium Enterprises Development Agency (NBS/SMEDAN), (2017). National Survey Report on MSMEs. [13] Nelson, Jane.2011. “The Private Sector and Aid Effectiveness: Toward New Models of Engagement in Catalyzing Development Washington, DC: Brookings Institution Press, PP 83–111. [14] Office of the Senior Special to the President on SDGs (2020). Implementation of Sustainable Development goals in Nigeria: A National Voluntary Review report. [15] Organisation for Economic Co-operation and Development (OECD), (2004). Promoting Entrepreneurship and Innovative SMEs in a Global Economy: Towards a More Responsible and Inclusive Globalisation. Paris: OECD. [16] Schaumburg-Müller H., Jeppesen S. & Langevang T. (2010). Entrepreneurship Development in Ugochukwu U, Nathaniel E. U and Emeka I., (2018). Meeting the 2030 SDGs in Nigeria: The Role of Entrepreneurship Development, Afri heritage Policy Brief N016, May, 2018. [17] United Nations (1992). United Nations Conference on Environment Report. (https://sdgimpact.undp.org/assets/sdg-impact-brochure). [18] United Nations Development Programme (UNDP) Nigeria. (2020c). The COVID 19 Pandemic in Nigeria: Potential Impact of Lockdown Policies on Poverty and Wellbeing. Brief 3, April 17, pp. 1-11. [19] United Nations Development Programme(UNDP), (2020). UNDP Human Index Development Report. [20] United Nations, (2015). United Nations Millennium Development Goals (MDGs) Report. [21] World Bank, (2013). World Development Report 2013: Jobs. Washington, DC: World Bank [22] World Bank, (2015). Nigeria Country Profile: Enterprise Survey.
AIKOR Shirgba Timothy, Ejem A. Ejem, "Assessment of the Role of Private Sector in the Achievement of Sustainable Development Goals (SDGs) In Nigeria" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.11 issue 9, September 2022, pp.21-27 DOI: https://dx.doi.org/10.51583/IJLTEMAS.2022.11902
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.
- Page(s): 28-34
- Date of Publication: 10 October 2022
- H. M. Lalitha Kumari Department of Social Science Education, Faculty of Education, University of Colombo, Sri Lanka
References
[1] Glickman, C. (2002). Leadership for Learning: How to Help Teachers Succeed. ASCD, USA [2] Harris et al (2003) Effective Leadership for School Improvement. London: Routledge Falmer [3] Harris, A. & Lambert, L. (2003) Building Leadership Capacity for School Improvement. Milton Keynes: Open University Press [4] Harris, A. (2004) Distributed Leadership and School Improvement: Leading or Misleading? Educational Management Administration and Leadership (www.ema.sagepub.com: February 2007) [5] Harris, A., Day, C., Hopkins, D., Hadfield, M., Hargreaves, A. & Chapman, C. (2003) Effective Leadership for School Improvement. London: Routledge Falmer [6] Harris, A., Day, C., Hopkins, D., Hadfield, M., Hargreaves, A. & Chapman, C. (2003) Effective Leadership for School Improvement. London: Routledge Falmer [7] Lambert, L. (1998) Building Leadership Capacity in Schools. Alexandria, VA, USA ASCD [8] Leithwood, K. & Riehl (2003); What we Know About Successful School Leadership. Nottingham National College for School Leadership [9] Leithwood, K., Day, C., Sammons, P., Harris A. & Hopkins D. (2006) Successful School Leadership: What It Is and How It Influences Pupil Learning. Nottingham National College for School Leadership (NCSL) Research Report No. 800 [10] Lieberman, A, Saxl, E & Miles, M. (1988) Teacher Leadership in Educational Leadership, pp. 348-365. San Francisco: Jossey-Bass (2000) [11] Lieberman, A., Saxl, E. & Miles, M. (2007) Teacher Leadership: Ideology and Practice, chapter 24 in The Jossey-Bass Reader on Educational Leadership. Jossey-Bass, pp. 403-420 [12] Muijs, D & Harris, A. (2007) Teacher Leadership in (In)action: Three Case Studies of Contrasting Schools, Educational Management, Administration and Leadership, Vol. 35 (1) pp. 111-134. BELMAS [13] National College of School Leadership (NCSL) (2003) Distributed Leadership (www.ncsl.org.uk/distributedleadership) 161 [14] National College of School Leadership (NCSL) (2003) The Role and Purpose of Middle Leaders in Schools (www.ncsl.org.uk/literature reviews) [15] National College of School Leadership (NCSL) (2004) Distributed Leadership (Published Set of Booklets) Nottingham NCSL [16] Spillane, J. & Diamond, J. (2007) (Eds) Distributed Leadership in Practice Colombia University: Teachers’ College Press, New York [17] Spillane, J., Halverson, R. & Diamond, J. (2001) Investigating School Leadership Practice: a Distributed Perspective, Educational Researcher (News and Comment) (www.sesp.northwestern.edu/docs : May 2007) [18] Spillane, J.P. (2006) Distributed Leadership. San Francisco: Jossey-Bass (www.sesp.northwestern.edu/docs)
H. M. Lalitha Kumari , "Distributed Leadership Practices by principals working in Type 2 and Type 3 schools in the Colombo District, Sri Lanka" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.11 issue 9, September 2022, pp.28-34 URL: https://ijltemas.in/DigitalLibrary/Vol.11Issue9/28-34.pdf
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.
- Page(s): 35-40
- Date of Publication: 11 October 2022
- Dr. Namrata M Assistant Professor, Department of Fashion Technology, Government First Grade College for Women’s Dharwad-580001, Karnataka, India
- Dr Vadiraj B. Tangod Associate Professor, Department of Physics Government First Grade College for Women’s, Dharwad-580001, Karnataka, India.
References
[1] Sujit Kumar Ghosh,Tarasankar Pal. Chem.Rev. 107 (2007) 4797. [2] Schmid, G.Clusters and Colloids-From theory to applications; VCH: Weinheim, Germany (1994). [3] S.K.Ghosh, S.Kundu, M.Mandal, T.Pal, Langmuir. 18 (2002) 8756. [4] R.Kubo, J.Phys.Soc.Jpn. 17 (1962) 975. [5] J.D.Jackson, Classical Electrodynamics,Wiley, New York (1975). [6] Susie Eustis, A.Mostafa, El-Sayed, Chem.Soc.Rev, (2006) 209. [7] Jorge Perez-Juste, Paul Mulvaney, Luis M Liz-Marzan,Int.J.Nanotechnol. 4(3) (2007) 215. [8] Azim Akbarzadeh et al, Am.J.App.Sci. 6(4) (2009) 691. [9] Mustafa S Yavuz et al, Langmuir. 25(22) (2009) 13120. [10] Prashant K.Jain, Kyeong Seok Lee, Ivan H. El-Sayed, and Mostafa A. El-Sayed, J.Phys.Chem.B 2006,110,7238-7248. [11] Cleveland Eugene Rayford II, George Schatz, Kevin Shuford, Spring. 2(1) (2005) Nanoscape 27 [12] John Flintermann, George Schatz, Kevin Shuford, Spring. 3(1) (2006) Nanoscape 29 [13] Sally D Solomon, Mozghan Bahadory, Aravindan V Jeyarajasingam, Susan A Ruthowsky, Charles Boritz, J. Chem.Edu. 84(2) (2007). [14] Jaing Zhiling, Feng Zhongwei, Li Tinsheng, Li Fang, Zhong Fuxin, Xie Jiyun Science in china. 44(2) (2001). [15] Zhi-juan Zhang, Chun-xia Wang, Yong Wang, Shu-hua Chang-gui Lu, De-gang Fu, Chinese. J. Chem. Phy. 20(6) (2007) 796. [16] Ali Faghin, Edo Waks, Am.J. Undergraduate Research.8 (2&3) (2009). [17] J. Wagner, J.M.Kohler, Nano letters. 5(6) (2005) 685. [18] Raghuraman Kannan, Valerie Rahing, cathy Cutler, Ravi Pandrapragada, Kavita K.Katti, Vijaya Kattumuri, David Robertson J, Stan J.Casteel, Jurisson, Charies Smith, Evan Boote, Kattesh V.Katti, J.AM.Chem.Soc. 128 (2006)11342. [19] J.Gersten, Nitzan A J. Chem Phys. 75 (1981)1139 [20] Mahalingam Umadevi, N.A.Sridevi, A.S.Sharmila, Beulah J.M.Rajkumar, M Briget Mary, P.Vanelle, T.Terme, O.Khoumeri, J Fluorese. 20 (2010) 153. [21] L.Novotny, B.Hecht, Principles of nano-optics, Cambridge, U K (2006). [22] Bohren,C.F,: Huffman, D.R.Absorption and Scatterring of Light by Small Particles: Wiley Interscience : New York, 1983. [23] S.P.Deshmukh, S.M.Patil, S.B.Mullan, S.D.Delekar, Silver nanoparticles as an effective disinfectant: A review , Materials Science and Engineering: C Volume 97, April 2019, Pages 954-965
Dr. Namrata M, Dr Vadiraj B. Tangod, "Behavioral Understanding of Silver Nanoparticles using Maxwell's Equations" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.11 issue 9, September 2022, pp.35-40 URL: https://ijltemas.in/DigitalLibrary/Vol.11Issue9/35-40.pdf
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
- Page(s): 41-46
- Date of Publication: 17 October 2022
- Franklin Okoro Cleanscript Group, Nigeria
- Nwamaka Linda Okoli Cleanscript Group, Nigeria
- Mary Frank-Okoro Cleanscript Group, Nigeria
- Ambrose Onne Okpu Cleanscript Group, Nigeria
- Johnson Inya Oko Cleanscript Group, Nigeria
References
[1] Amuda, O.S. (2014) ‘Challenges and Possible Panacea to the Municipal Solid Wastes Management in Nigeria’6 Journal of Sustainable Development Studies 67. [2] Cochran, W.G. (1963) Sampling Technique. 2nd Edition, John Wiley and Sons Inc., New York. [3] Creswell, J.W. (2005). Research Design: A qualitative, quantitative and mixed method approaches. London: Sage Publication Inc. [4] Ogwueleka, T. C. (2009). Municipal Solid Waste Characteristics and Management in Nigeria. Iran. J. Environ. Health. Sci. Eng., vol. 6, no. 3, pp. 173-180. [5] Ogwueleka, T.C. (2003). Analysis of urban solid waste in Nsukka, Nigeria. Journal of Solid Waste Technology and. Management, 29 (4): 239-246. [6] Oloruntade, A.J., Adeoye, P.A. and Alao, F. (2014). Municipal Solid Waste Collection and Management Strategies in Akure, South-Western Nigeria. The Journal of Solid Waste Technology and Management, 40(1), pp.24–32. doi:10.5276/jswtm.2014.24. [7] Orodho, J. A., & Kombo D. K. (2002). Research methods. Kenyatta University, institute of open learning. [8] Uwadiegwu & Chukwu (2013a) ‘Municipal Solid Waste Collection and Management Strategies in Akure, South-Western Nigeria’ 11 Caspian Journal of Environmental Science 5. [9] Uwadiegwu B.O and K.E. Chukwu, (2013b) ‘Strategies for Effective Urban Solid Waste Management in Nigeria’9 European Scientific Journal 296.
Franklin Okoro; Nwamaka Linda Okoli; Mary Frank-Okoro; Ambrose Onne Okpu; Johnson Inya Oko, "Waste Management & Socio-Economic Growth: A Case Study of Southeast Geopolitical Zone, Nigeria" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.11 issue 9, September 2022, pp.41-46 URL: https://ijltemas.in/DigitalLibrary/Vol.11Issue9/41-46.pdf
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
- Olusegun Abayomi OGUNSANWO Department of Business Administration and Management: The Federal Polytechnic, Ilaro, Ogun State, Nigeria.
- Azeez Akanni OYELEKAN Department of General Studies: The Federal Polytechnic, Ilaro, Ogun State, Nigeria.
References
[1] Akingboungbe, S.S. (1996). The Role of the Financial System in the Development of the Nigeria Economy. Paper presented at a workshop organized by the Centre for Africa Law and Development Studies. [2] Al-Faki, M. (2016). The Nigeria Capital Market and socio-economic Development. Paper presented at a Distinguished Faculty of Social Science Public lecture, University of Benin, 26, 9-16 [3] Al-Faki, M. (2017). Capital Market Reforms and Real Sector Financing: What Option? SEC News. 4 (1). [4] Ayodele, A. I., & Falokun, G. (2015). The Nigerian Economy: Structure and Pattern of Development. JODAD Publishers. [5] Central Bank of Nigeria (2003). Contemporary Economic Policy issues in Nigeria. Abuja, Nigeria: CBN Publication. [6] Central Bank of Nigeria (2007). Capital Market Dynamics in Nigeria; Structure Transaction Cost and Efficiency 1980-2006. [7] Demirgue K., A., & Levine, R. (2016). Stock market development and financial intermediaries: Stylized facts. The World Economic Review, 10(2), 241-265. [8] Esosa, B.O. (2007). Capital Markets: African and Global. Lagos; Book sHouse Company. [9] Ibitomi T. L, Monday, O and Adeleke J. O. (2020). Impact of Capital Market on Manufacturing Sector: Evidence from Nigeria. IOSR Journal of Economics and Finance (IOSR-JEF),11(6), 2020, pp. 53-63. DOI: 10.9790/5933 1106045363 [10] Kayode, O. (2015). Nigeria's Industrial Revolution @ Punchng.com [11] Kolapo, F.T., & Adaramola, A.O. (2012). The Impact of Nigerian Capital Market on Economic Growth. International Journal of developing studies. 1(1), 11-19 [12] Nnanna, O. J., Englama, A., & Odoko, F.O. (2004). Financial Markets in Nigeria, Central Bank of Nigeria Publication, 36(2), 1-29 [13] Offum, P. F. & Ihuoma, C. E. (2018). Capital Market & Industrial Performance Nexus. The Nigerian Journal of Economic and Social Studies * Vol. 60 No.3 (2018) [14] Oke, M.O., & Adeusi, S.O. (2012). Impact of Capital Market Reforms on Economic Growth: The Nigeria Experience. Austrialian Journal of Business and Management Research, 2(2), 20-30. [15] Okechukwu, O.C. (2017). The theory and practice of capital Market, wolsak Nigeria Limited Kaduna [16] Osai-Brown (2019). Economic Melt Down [17] Osaze B.E. (2015). The Nigerian Capital Market in the African and Global Financial System Benin City: Bofic Consults Group Limited. [18] Tianyu, H. (2013). The comparison of impact from capital structure to corporate performance between Chinese and European listed firms. [19] Ugbogbo, S. N. & Aisien, L. N.: Capital Market Development and Economic Growth in Nigeria International Journal of Development and Management Review (INJODEMAR) Vol. 14 No. 1 June, 2019 24
Olusegun Abayomi OGUNSANWO, and Azeez Akanni OYELEKAN, "Impact of Capital Market Instruments on Firm Development in Nigeria" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.11 issue 9, September 2022, pp.47-54 DOI: https://dx.doi.org/10.51583/IJLTEMAS.2022.11903