International Journal of Research and Innovation in Applied Science (IJRIAS)

Ali Alhaji Goni Mustapha, Aminu M. Bello, Ali M. Garba & Musa Ibrahim Gobe August 2020 Page No.: 01-10

The effect of corporate governance on the organization’s financial performance has been a crucial issue since the last global financial distress. Many accounting scandals and numerous cases of corporate governance malpractice brought about more attention to corporate governance. The issue is a serious factor in economic growth and financial market steadiness, also enormous body of literature has developed concerning the link between corporate governance and financial performance, but the study finding produced inconsistent results. Therefore, the main purpose of this study is to investigate the moderating effect of the audit committee on the relationship between corporate governance and financial performance.

  •  Page(s): 01-10
  •  Date of Publication: 27 August 2020
  •  Ali Alhaji Goni Mustapha
    Department of Business Administration and Entrepreneurship, Bayero University, Kano PMB 3011, Kano, Nigeria
  •  Aminu M. Bello
    Department of Business Administration and Entrepreneurship, Bayero University, Kano PMB 3011, Kano, Nigeria
  •  Ali M. Garba
    Department of Business Administration and Entrepreneurship, Bayero University, Kano PMB 3011, Kano, Nigeria
  •  Musa Ibrahim Gobe
    Department of Business Administration and Entrepreneurship, Bayero University, Kano PMB 3011, Kano, Nigeria

References

 

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Ali Alhaji Goni Mustapha, Aminu M. Bello, Ali M. Garba & Musa Ibrahim Gobe “The Moderating Effect of the Audit Committee on the Relationship between Corporate Governance and Financial Performance: A Conceptual Review” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.01-10 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/01-10.pdf

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Niyi-David, C.C, Ogbonna, D.N, Akani, N.P, Douglas, S.I. August 2020 Page No.: 11-16

Characterization of isolates from the fish pond water collected from Port Harcourt, in Rivers State, was done using 16S rRNA gene sequencing method to identify their phylogenetic relationship. The presence of the resistance gene was investigated by polymerase chain reaction followed by agarose gel electrophoresis of the amplification products. A total of 10 bacteria were identified, they include Escherichia coli, Klebsiella quasipnemoniae, Morganella morgani, Vibrio parahaemolyticus, Pseudomonas xiamenesis, Staphylococcus sp, Bacillus flexus, Lysinibacillus macroides, Myoides odoratimimus and Chryseobacterium cucumeris. The Lysinibacillus macroides and Vibrio parahaemolyticus were found to be carriers of the CTX-M gene, while Escherichia coli carried the QNRB gene. SHV gene was also found in the Vibrio parahaemolyticus. The resistance gene found in these bacteria can be transferred to other microbes to cause antibiotic pollution which is a major health challenge.

  •  Page(s): 11-16
  •  Date of Publication: 27 August 2020
  •  Niyi-David, C.C
    Department of Microbiology, Rivers State University, P.M.B 5080, Port Harcourt, Nigeria
  •  Ogbonna, D.N
    Department of Microbiology, Rivers State University, P.M.B 5080, Port Harcourt, Nigeria
  •  Akani, N.P
    Department of Microbiology, Rivers State University, P.M.B 5080, Port Harcourt, Nigeria
  •  Douglas, S.I.
    Department of Microbiology, Rivers State University, P.M.B 5080, Port Harcourt, Nigeria

References

 

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Niyi-David, C.C, Ogbonna, D.N, Akani, N.P, Douglas, S.I., “Molecular Characterization of Isolates and Antibiotic Resistance Genes Associated with Fish Pond” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.11-16 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/11-16.pdf

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Felicia Uchechukwu Okwunodulu, Stella Mbanyeaku Ufearoh and Martina Chizoba Apugo August 2020 Page No.: 17-23

Biomolecules present in plant extracts can be used as capping and stabilizing agents which reduce metal ions or metal oxide ions to metal nanoparticles in a single-step green synthesis process. In this study, calcium oxide nanoparticle was synthesized using Eugenia uniflora leaf extract in order to ascertain its oil sorption capacity. The characterization of the calcium oxide nanoparticle through UV-vis spectroscopy revealed that maximum absorption was obtained at 207nm indicating surface plasmon absorption of calcium oxide nanoparticle. FTIR results of the Eugenia uniflora leaf extract before and after the synthesis of the calcium oxide nanoparticle indicated the absence of the O-H functional group of alcohol with peak at 3306.1 cm-and C-C functional group of alkane with peak at 1449.9 cm-1 indicating their responsibility for the reduction and capping of the synthesized calcium oxide nanoparticle. The morphology of the cacium oxide nanoparticle indicated no definite shape with smooth surface on magnification. The XRD pattern showed that the calcium oxide nanoparticle formed are crystalline in nature with average crystallite size of 3.25 to 4.76 nm. Effect of contact time on the oil sorption capacity of calcium oxide nanoparticle revealed highest sorption capacity at a shorter time (20 min). Kinetically, oil sorption capacity of CaO nanoparticle fitted the Pseudo-second-order model with Rclose to unity (i.e. 0.996). Mechanism of sorption is by chemisorption. Therefore oil sorption capacity of calcium oxide nanoparticle proved to be effective especially at low contact time can be used to clean oil polluted water.

  •  Page(s): 17-23
  •  Date of Publication: 30 August 2020
  •  Felicia Uchechukwu Okwunodulu
    Department of Chemistry, Michael Okpara University of Agriculture Umudike, P. M. B. Umuahia, Abia State Nigeria
  •  Stella Mbanyeaku Ufearoh
    Department of Chemistry, Michael Okpara University of Agriculture Umudike, P. M. B. Umuahia, Abia State Nigeria
  •  Martina Chizoba Apugo
    Department of Chemistry, Michael Okpara University of Agriculture Umudike, P. M. B. Umuahia, Abia State Nigeria

References

 

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Felicia Uchechukwu Okwunodulu, Stella Mbanyeaku Ufearoh and Martina Chizoba Apugo “Waste Engine Oil Sorption Capacity of Calcium Oxide Nanoparticle Synthesized Biologically with Eugenia Uniflora Leaf Extract” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.17-23 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/17-23.pdf

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Sudhanshu Aggarwal, Swarg Deep Sharma, Aakansha Vyas August 2020 Page No.: 24-30

Volterra integro-differential equations have many interesting applications such as process of glass forming, diffusion process, heat and mass transfer, growth of cells and describing the motion of satellite. These equations generally appear in many branches of engineering, physics, biology, astronomy, radiology and statistics. In this paper, authors discussed the application of Sumudu transform for handling Volterra integro-differential equation of first kind with convolution kernel. Some numerical problems have been considered and solved with the help of Sumudu transform for explaining the complete methodology. Results of numerical problems show that Sumudu transform is very effective integral transform for handling Volterra integro-differential equation of first kind with convolution kernel.

  •  Page(s): 24-30
  •  Date of Publication: 30 August 2020
  •  Sudhanshu Aggarwal
    Assistant Professor, Department of Mathematics, National P.G. College, Barhalganj, Gorakhpur. U.P., India
  •  Swarg Deep Sharma
    Assistant Professor, Department of Mathematics, Nand Lal Singh College Jaitpur Daudpur Constituent of Jai Prakash University Chhapra, Bihar, India
  •  Aakansha Vyas
    Assistant Professor, Noida Institute of Engineering & Technology, Greater Noida, U.P., India

References

 

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[33] Aggarwal, S., & Singh, G. P. (2019). Aboodh transform of error function. Universal Review, 10(6), 137-150.
[34] Aggarwal, S., & GP, S. (2019). Shehu Transform of Error Function (Probability Integral). Int J Res Advent Technol, 7, 54-60.
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[38] Aggarwal, S., Gupta, A. R., Sharma, S. D., Chauhan, R., & Sharma, N. (2019). Mahgoub transform (Laplace-Carson transform) of error function. International Journal of Latest Technology in Engineering, Management & Applied Science, 8(4), 92-98.
[39] Aggarwal, S., Singh, A., Kumar, A., & Kumar, N. (2019). Application of Laplace transform for solving improper integrals whose integrand consisting error function. Journal of Advanced Research in Applied Mathematics and Statistics, 4(2), 1-7.
[40] Aggarwal, S., Sharma, N., Chauhan, R., Gupta, A. R., & Khandelwal, A. (2018). A new application of Mahgoub transform for solving linear ordinary differential equations with variable coefficients. Journal of Computer and Mathematical Sciences, 9(6), 520-525.
[41] Aggarwal, S., & Sharma, S. D. (2019). Application of Kamal transform for solving Abel’s integral equation. Global Journal of Engineering Science and Researches, 6(3), 82-90.
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[43] Aggarwal, S., Sharma, S. D., & Gupta, A. R. (2019). A new application of Mohand transform for handling Abel’s integral equation. Journal of Emerging Technologies and Innovative Research, 6(3), 600-608.
[44] Aggarwal, S., & Sharma, S. D. (2019). Solution of Abel’s integral equation by Aboodh transform method. Journal of Emerging Technologies and Innovative Research, 6(4), 317-325.
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[46] Aggarwal, S., Chauhan, R., & Sharma, N. (2018). Mohand transform of Bessel’s functions. International Journal of Research in Advent Technology, 6(11), 3034-3038.
[47] Aggarwal, S., Gupta, A. R., & Agrawal, D. (2018). Aboodh transform of Bessel’s functions. Journal of Advanced Research in Applied Mathematics and Statistics, 3(3), 1-5.
[48] Aggarwal, S., Sharma, N., & Chauhan, R. (2018). Mahgoub transform of Bessel’s functions. International Journal of Latest Technology in Engineering, Management & Applied Science, 7(8), 32-36.
[49] Aggarwal, S. (2018). Elzaki transform of Bessel’s functions. Global Journal of Engineering Science and Researches, 5(8), 45-51.
[50] Chaudhary, R., Sharma, S.D., Kumar, N., & Aggarwal, S. (2019). Connections between Aboodh transform and some useful integral transforms. International Journal of Innovative Technology and Exploring Engineering, 9(1), 1465-1470.
[51] Aggarwal, S., Chauhan, R., & Sharma, N. (2018). Application of Elzaki transform for solving linear Volterra integral equations of first kind. International Journal of Research in Advent Technology, 6(12), 3687-3692.
[52] Aggarwal, S., Sharma, N., & Chauhan, R. (2018). Application of Kamal transform for solving linear Volterra integral equations of first kind. International Journal of Research in Advent Technology, 6(8), 2081-2088.
[53] Aggarwal, S., Asthana, N. & Singh, D.P. (2018). Solution of population growth and decay problems by using Aboodh transform method. International Journal of Research in Advent Technology, 6(10), 2706-2710.
[54] Aggarwal, S., & Bhatnagar, K. (2019). Sadik transform for handling population growth and decay problems. Journal of Applied Science and Computations, 6(6), 1212-1221.
[55] Aggarwal, S., & Sharma, S.D. (2019). Sadik transform of error function (probability integral). Global Journal of Engineering Science and Researches, 6(6), 125-135.
[56] Aggarwal, S., Gupta, A.R., & Sharma, S.D. (2019). Application of Sadik transform for handling linear Volterra integro-differential equations of second kind. Universal Review, 10(7), 177-187.
[57] Aggarwal, S., & Bhatnagar, K. (2019). Solution of Abel’s integral equation using Sadik transform. Asian Resonance, 8(2), (Part-1), 57-63.
[58] Aggarwal, S. (2019). A comparative study of Mohand and Mahgoub transforms. Journal of Advanced Research in Applied Mathematics and Statistics, 4(1), 1-7.
[59] Aggarwal, S. (2018). Kamal transform of Bessel’s functions. International Journal of Research and Innovation in Applied Science, 3(7), 1-4.
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Sudhanshu Aggarwal, Swarg Deep Sharma, Aakansha Vyas “Application of Sumudu Transform for Handling Volterra Integro-Differential Equation of First Kind with Convolution Kernel” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.24-30 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/24-30.pdfJair Mu López, José G. Vargas-Hernández “Strategies for the Adoption of E-Commerce” International Journal of Research and Innovation in Applied Science -IJRIAS vol.1 issue 1, pp.14-19 2016

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Sudhanshu Aggarwal, Aakansha Vyas, Swarg Deep Sharma August 2020 Page No.: 31-38

Volterra integro-differential equation generally appears when an initial value problem is to be converted into an integral equation. In this paper, authors determined the primitive of first kind Volterra integro-differential equation using Shehu transform. In this work, authors have considered that the kernel of first kind Volterra integro-differential equation is a convolution type kernel. Some numerical problems have been considered and solved with the help of Shehu transform for explaining the complete methodology. Results of numerical problems show that Shehu transform is very effective integral transform for determining the primitive of first kind Volterra integro-differential equation.

  •  Page(s): 31-38
  •  Date of Publication: 30 August 2020
  •  Sudhanshu Aggarwal
    Assistant Professor, Department of Mathematics, National P.G. College, Barhalganj, Gorakhpur-273402, U.P., India
  •  Aakansha Vyas
    Assistant Professor, Noida Institute of Engineering & Technology, Greater Noida-201306, U.P., India
  •  Swarg Deep Sharma
    Assistant Professor, Department of Mathematics, Nand Lal Singh College Jaitpur Daudpur Constituent of Jai Prakash University Chhapra-841205, Bihar, India

References

 

[1] Aggarwal, S., Chauhan, R., & Sharma, N. (2018). A new application of Mahgoub transform for solving linear Volterra integral equations. Asian Resonance, 7(2), 46-48.
[2] Aggarwal, S., Sharma, N., & Chauhan, R. (2018). Application of Mahgoub transform for solving linear Volterra integral equations of first kind. Global Journal of Engineering Science and Researches, 5(9), 154-161.
[3] Aggarwal, S., Sharma, N., & Chauhan, R. (2018). A new application of Aboodh transform for solving linear Volterra integral equations. Asian Resonance, 7(3), 156-158.
[4] Aggarwal, S., Gupta, A. R., & Sharma, S. D. (2019). A new application of Shehu transform for handling Volterra integral equations of first kind. International Journal of Research in Advent Technology, 7(4), 439-445.
[5] Aggarwal, S., Chauhan, R., & Sharma, N. (2018). Application of Elzaki transform for solving linear Volterra integral equations of first kind. International Journal of Research in Advent Technology, 6(12), 3687-3692.
[6] Aggarwal, S., Sharma, N., & Chauhan, R. (2018). Application of Aboodh transform for solving linear Volterra integral equations of first kind. International Journal of Research in Advent Technology, 6(12), 3745-3753.
[7] Aggarwal, S., Sharma, N., & Chauhan, R. (2018). Solution of linear Volterra integral equations of second kind using Mohand transform. International Journal of Research in Advent Technology, 6(11), 3098-3102.
[8] Aggarwal, S., Chauhan, R., & Sharma, N. (2018). A new application of Kamal transform for solving linear Volterra integral equations. International Journal of Latest Technology in Engineering, Management & Applied Science, 7(4), 138-140.
[9] Aggarwal, S., Sharma, N., & Chauhan, R. (2018). Solution of linear Volterra integro-differential equations of second kind using Mahgoub transform. International Journal of Latest Technology in Engineering, Management & Applied Science, 7(5), 173-176.
[10] Aggarwal, S., & Gupta, A. R. (2019). Solution of linear Volterra integro-differential equations of second kind using Kamal transform. Journal of Emerging Technologies and Innovative Research, 6(1), 741-747.
[11] Aggarwal, S., Sharma, N., & Chauhan, R. (2018). Application of Aboodh transform for solving linear Volterra integro-differential equations of second kind. International Journal of Research in Advent Technology, 6(6), 1186-1190.
[12] Chauhan, R., & Aggarwal, S. (2018). Solution of linear partial integro-differential equations using Mahgoub transform. Periodic Research, 7(1), 28-31.
[13] Gupta, A. R., Aggarwal, S., & Agrawal, D. (2018). Solution of linear partial integro-differential equations using Kamal transform. International Journal of Latest Technology in Engineering, Management & Applied Science, 7(7), 88-91.
[14] Singh, G. P., & Aggarwal, S. (2019). Sawi transform for population growth and decay problems. International Journal of Latest Technology in Engineering, Management & Applied Science, 8(8), 157-162.
[15] Aggarwal, S., Sharma, N., & Chauhan, R. (2018). Solution of population growth and decay problems by using Mohand transform. International Journal of Research in Advent Technology, 6(11), 3277-3282.
[16] Aggarwal, S., Gupta, A. R., Asthana, N., & Singh, D. P. (2018). Application of Kamal transform for solving population growth and decay problems. Global Journal of Engineering Science and Researches, 5(9), 254-260.
[17] Aggarwal, S., Sharma, S. D., & Gupta, A. R. (2019). Application of Shehu transform for handling growth and decay problems. Global Journal of Engineering Science and Researches, 6(4), 190-198.
[18] Aggarwal, S., Singh, D. P., Asthana, N., & Gupta, A. R. (2018). Application of Elzaki transform for solving population growth and decay problems. Journal of Emerging Technologies and Innovative Research, 5(9), 281-284.
[19] Aggarwal, S., Gupta, A. R., Singh, D. P., Asthana, N., & Kumar, N. (2018). Application of Laplace transform for solving population growth and decay problems. International Journal of Latest Technology in Engineering, Management & Applied Science, 7(9), 141-145.
[20] Aggarwal, S., Pandey, M., Asthana, N., Singh, D. P., & Kumar, A. (2018). Application of Mahgoub transform for solving population growth and decay problems. Journal of Computer and Mathematical Sciences, 9(10), 1490-1496.
[21] Aggarwal, S., Sharma, N., & Chauhan, R. (2020). Duality relations of Kamal transform with Laplace, Laplace–Carson, Aboodh, Sumudu, Elzaki, Mohand and Sawi transforms. SN Applied Sciences, 2(1), 135.
[22] Aggarwal, S., & Bhatnagar, K. (2019). Dualities between Laplace transform and some useful integral transforms. International Journal of Engineering and Advanced Technology, 9(1), 936-941.
[23] Chauhan, R., Kumar, N., & Aggarwal, S. (2019). Dualities between Laplace-Carson transform and some useful integral transforms. International Journal of Innovative Technology and Exploring Engineering, 8(12), 1654-1659.
[24] Aggarwal, S., & Gupta, A. R. (2019). Dualities between Mohand transform and some useful integral transforms. International Journal of Recent Technology and Engineering, 8(3), 843-847.
[25] Aggarwal, S., & Gupta, A. R. (2019). Dualities between some useful integral transforms and Sawi transform. International Journal of Recent Technology and Engineering, 8(3), 5978-5982.
[26] Aggarwal, S., Bhatnagar, K., & Dua, A. (2019). Dualities between Elzaki transform and some useful integral transforms. International Journal of Innovative Technology and Exploring Engineering, 8(12), 4312-4318.
[27] Aggarwal, S., Sharma, N., Chaudhary, R., & Gupta, A. R. (2019). A comparative study of Mohand and Kamal transforms. Global Journal of Engineering Science and Researches, 6(2), 113-123.
[28] Aggarwal, S., Mishra, R., & Chaudhary, A. (2019). A comparative study of Mohand and Elzaki transforms. Global Journal of Engineering Science and Researches, 6(2), 203-213.
[29] Aggarwal, S., & Sharma, S. D. (2019). A comparative study of Mohand and Sumudu transforms. Journal of Emerging Technologies and Innovative Research, 6(3), 145-153.
[30] Aggarwal, S., & Chauhan, R. (2019). A comparative study of Mohand and Aboodh transforms. International Journal of Research in Advent Technology, 7(1), 520-529.
[31] Aggarwal, S., & Chaudhary, R. (2019). A comparative study of Mohand and Laplace transforms. Journal of Emerging Technologies and Innovative Research, 6(2), 230-240.
[32] Aggarwal, S., Gupta, A. R., & Kumar, A. (2019). Elzaki transform of error function. Global Journal of Engineering Science and Researches, 6(5), 412-422.
[33] Aggarwal, S., & Singh, G. P. (2019). Aboodh transform of error function. Universal Review, 10(6), 137-150.
[34] Aggarwal, S., & GP, S. (2019). Shehu Transform of Error Function (Probability Integral). Int J Res Advent Technol, 7, 54-60.
[35] Aggarwal, S., & Sharma, S. D. (2019). Sumudu transform of error function. Journal of Applied Science and Computations, 6(6), 1222-1231.
[36] Aggarwal, S., Gupta, A. R., & Kumar, D. (2019). Mohand transform of error function. International Journal of Research in Advent Technology, 7(5), 224-231.
[37] Aggarwal, S., & Singh, G. P. (2019). Kamal transform of error function. Journal of Applied Science and Computations, 6(5), 2223-2235.
[38] Aggarwal, S., Gupta, A. R., Sharma, S. D., Chauhan, R., & Sharma, N. (2019). Mahgoub transform (Laplace-Carson transform) of error function. International Journal of Latest Technology in Engineering, Management & Applied Science, 8(4), 92-98.
[39] Aggarwal, S., Singh, A., Kumar, A., & Kumar, N. (2019). Application of Laplace transform for solving improper integrals whose integrand consisting error function. Journal of Advanced Research in Applied Mathematics and Statistics, 4(2), 1-7.
[40] Aggarwal, S., Sharma, N., Chauhan, R., Gupta, A. R., & Khandelwal, A. (2018). A new application of Mahgoub transform for solving linear ordinary differential equations with variable coefficients. Journal of Computer and Mathematical Sciences, 9(6), 520-525.
[41] Aggarwal, S., & Sharma, S. D. (2019). Application of Kamal transform for solving Abel’s integral equation. Global Journal of Engineering Science and Researches, 6(3), 82-90.
[42] Aggarwal, S., & Gupta, A. R. (2019). Sumudu transform for the solution of Abel’s integral equation. Journal of Emerging Technologies and Innovative Research, 6(4), 423-431.
[43] Aggarwal, S., Sharma, S. D., & Gupta, A. R. (2019). A new application of Mohand transform for handling Abel’s integral equation. Journal of Emerging Technologies and Innovative Research, 6(3), 600-608.
[44] Aggarwal, S., & Sharma, S. D. (2019). Solution of Abel’s integral equation by Aboodh transform method. Journal of Emerging Technologies and Innovative Research, 6(4), 317-325.
[45] Aggarwal, S., & Gupta, A. R. (2019). Shehu Transform for Solving Abel’s Integral Equation. Journal of Emerging Technologies and Innovative Research, 6(5), 101-110.
[46] Aggarwal, S., Chauhan, R., & Sharma, N. (2018). Mohand transform of Bessel’s functions. International Journal of Research in Advent Technology, 6(11), 3034-3038.
[47] Aggarwal, S., Gupta, A. R., & Agrawal, D. (2018). Aboodh transform of Bessel’s functions. Journal of Advanced Research in Applied Mathematics and Statistics, 3(3), 1-5.
[48] Aggarwal, S., Sharma, N., & Chauhan, R. (2018). Mahgoub transform of Bessel’s functions. International Journal of Latest Technology in Engineering, Management & Applied Science, 7(8), 32-36.
[49] Aggarwal, S. (2018). Elzaki transform of Bessel’s functions. Global Journal of Engineering Science and Researches, 5(8), 45-51.
[50] Chaudhary, R., Sharma, S.D., Kumar, N., & Aggarwal, S. (2019). Connections between Aboodh transform and some useful integral transforms. International Journal of Innovative Technology and Exploring Engineering, 9(1), 1465-1470.
[51] Aggarwal, S., Chauhan, R., & Sharma, N. (2018). Application of Elzaki transform for solving linear Volterra integral equations of first kind. International Journal of Research in Advent Technology, 6(12), 3687-3692.
[52] Aggarwal, S., Sharma, N., & Chauhan, R. (2018). Application of Kamal transform for solving linear Volterra integral equations of first kind. International Journal of Research in Advent Technology, 6(8), 2081-2088.
[53] Aggarwal, S., Asthana, N. & Singh, D.P. (2018). Solution of population growth and decay problems by using Aboodh transform method. International Journal of Research in Advent Technology, 6(10), 2706-2710.
[54] Aggarwal, S., & Bhatnagar, K. (2019). Sadik transform for handling population growth and decay problems. Journal of Applied Science and Computations, 6(6), 1212-1221.
[55] Aggarwal, S., & Sharma, S.D. (2019). Sadik transform of error function (probability integral). Global Journal of Engineering Science and Researches, 6(6), 125-135.
[56] Aggarwal, S., Gupta, A.R., & Sharma, S.D. (2019). Application of Sadik transform for handling linear Volterra integro-differential equations of second kind. Universal Review, 10(7), 177-187.
[57] Aggarwal, S., & Bhatnagar, K. (2019). Solution of Abel’s integral equation using Sadik transform. Asian Resonance, 8(2), (Part-1), 57-63.
[58] Aggarwal, S. (2019). A comparative study of Mohand and Mahgoub transforms. Journal of Advanced Research in Applied Mathematics and Statistics, 4(1), 1-7.
[59] Aggarwal, S. (2018). Kamal transform of Bessel’s functions. International Journal of Research and Innovation in Applied Science, 3(7), 1-4.
[60] Chauhan, R., & Aggarwal, S. (2019). Laplace transform for convolution type linear Volterra integral equation of second kind. Journal of Advanced Research in Applied Mathematics and Statistics, 4(3&4), 1-7.
[61] Sharma, N., & Aggarwal, S. (2019). Laplace transform for the solution of Abel’s integral equation. Journal of Advanced Research in Applied Mathematics and Statistics, 4(3&4), 8-15.
[62] Aggarwal, S., & Sharma, N. (2019). Laplace transform for the solution of first kind linear Volterra integral equation. Journal of Advanced Research in Applied Mathematics and Statistics, 4(3&4), 16-23.
[63] Mishra, R., Aggarwal, S., Chaudhary, L., & Kumar, A. (2020). Relationship between Sumudu and some efficient integral transforms. International Journal of Innovative Technology and Exploring Engineering, 9(3), 153-159.
[64] Maitama, S., & Zhao, W. (2019). New integral transform: Shehu transform a generalization of Sumudu and Laplace transform for solving differential equations. International Journal of Analysis and Applications, 17(2), 167-190.

Sudhanshu Aggarwal, Aakansha Vyas, Swarg Deep Sharma “Primitive of First Kind Volterra Integro-Differential Equation Using Shehu Transform” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.14-20 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/14-20.pdf

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S.I Nwakaego, J.C Ehiwario, Dr C.E. Emenonye August 2020 Page No.: 39-41

This paper presents a mathematical model of the telephone and telegraph equations in a transmission line. The flow of electricity in a transmission line was considered. It was observed that waves and wave propagation are ubiquitous in nature and lead to many puzzling questions. For example, why is it that a storm over the ocean sets off a steady swell of small-amplitude waves, but an earthquake at the sea floor can release an enormous flood wave? What produces mirages in the desert? In response to these questions, a great deal of mathematics has been developed to understand and predict the dynamics of light or sound waves the propagation of matter waves, the vibration patterns of elastic bodies, or the peculiar nature of water waves. This paper will provide a guided tour of mathematical wave theory together with physical applications, including the linear wave equation, dispersion and nonlinear waves and solitons. Mathematically one – dimensional heat equations for the flow were derived.

  •  Page(s): 39-41
  •  Date of Publication: 01 September 2020
  •  S.I Nwakaego
    Department of Mathematics, College of Education, Agbor Delta State, Nigeria
  •  J.C Ehiwario
    Department of Mathematics, College of Education, Agbor Delta State, Nigeria
  •  Dr C.E. Emenonye
    Department of Mathematics, College of Education, Agbor Delta State, Nigeria

References

 

[1] Billingham J. and King A.C (2010). Wave motion Publish by Cambridge, University press.
[2] Coddington E.A. and Levinson N. (2007) Theory of Ordinary Differential Equation. McGraw-Hill, New York.
[3] Courant R and Hilbert O. Willey (2012).The Excellent Book methods of mathematical physics. Publish by Willey, New York Vol. 10
[4] Dan Russel (2011). Acoustics and Vibration Animations published by Cambridge University Press London.
[5] Erwin Kreyszig (2007). Advanced Engineering mathematics, 5th and 6th Edition. Published by Willey Eastern Limited New Delhi Bangalore Bombay, calcuta. Madras Hyderabad piene Lucknow Gurahati.
[6] French A.P (2009). Vibrations and Waves. Published by Norton NY. United Kingdom
[7] Ladis D. Kovach (2005) Advanced Engineering Mathematics Addison-Wesley Publishing company, reading Massachusetts. Menlo park, California London: Amsterdam, Don Mills Ontario, Sydeney.
[8] Main I.G. (1993).Vibrations and Waves in Physics.Published by Cambridge University Press, London Sydney Toronto.
[9] Norton NY, U.K Oliver Buhler and Alex Barnett (2009).Mathematical Wave Dynamics Spring 2009.Vol 63.0394. Norton NY, U.K
[10] Ray Wylie C. and Louis Barrett C. (2012) Advanced Engineering Mathematics 11th Edition McGraw-Hill Inc. New York St. Louis San Francisco Auckland Bogoti Caracas Lisbon London.
[11] Spain B & Smith M.G. (1997) Functions of mathematical physics.Published by Van Nostrand Reinhold Company London New York Toronto Mebourne.
[12] William E. Boyce and Richard C. Diprima (1969).Elementary Differential Equations and Boundary Value problems.Sixth Edition.Published by John Willey and sons Inc. New York London Sydney, Toronto.
[13] William R. Derrick & Stanley I. Grossman (1976). Elementary Differential Equations with Applications published by Addison-Wesley publishing company Reading Massachusetts, Menlo-Park California London Amsterdam Don Mills Ontario Sydney.

S.I Nwakaego, J.C Ehiwario, Dr C.E. Emenonye “Mathematically Modeling the Telephone and Telegraph Equations in a Long Cable or Transmission Line” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.39-41 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/39-41.pdf

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Amadi-Ikpa, C. N., Akani, N. P., Wemedo, S.A. & Williams, J.O. August 2020 Page No.: 42-48

The change in stored drinking water quality in containers calls for concern due to possible build up of biofilm by bacteria which find their way into water. The study aimed at determining the biofilm and virulent properties of associated bacteria. Thus, thirty water samples from some homes were collected, stored and analyzed using spread and streaking techniques to isolate characteristic bacterial colonies on standard media. A total of 29 bacterial isolates belonging to five genera were identified molecularly. The bacteria isolates namely: Bacillus flexus, Chryseobacterium aquifrigidense, Providencia stuartii, Alcaligene faecalis and Providencia rustigianii were obtained. The bacterial isolates with their percentage virulent potential are as follow; Bacillus flexus 100%, Chryseobacterium aquifrigidense16.6% Providencia stuartii 33%, Alcaligene faecalis 66% and Providencia rustigianii 33.3%. All bacterial isolates developed/expressed biofim formation except Chryseobacterium aquifrigidense. Biofilm formation in the interior surface wall of drinking water storage container was also dependent on the nature and type of storage vessel or container used in the home. The virulence factors as exhibited by these potential pathogens have vital role in invading underlying or immune compromised individuals. Thus, the effect in the change of stored drinking water in containers can be mitigated when individuals maintain good personal hygiene and boost their immune system in order to put off the potential of opportunistic pathogens recovered in this study.

  •  Page(s): 42-48
  •  Date of Publication: 01 September 2020
  •  Amadi-Ikpa, C. N.
    Department of Microbiology, Rivers State University, Nkpolu Oroworukwo, P.M.B.5080, Port Harcourt, Rivers State, Nigeria
  •  Akani, N. P.
    Department of Microbiology, Rivers State University, Nkpolu Oroworukwo, P.M.B.5080, Port Harcourt, Rivers State, Nigeria
  •  Wemedo, S.A.
    Department of Microbiology, Rivers State University, Nkpolu Oroworukwo, P.M.B.5080, Port Harcourt, Rivers State, Nigeria
  •  Williams, J.O.
    Department of Microbiology, Rivers State University, Nkpolu Oroworukwo, P.M.B.5080, Port Harcourt, Rivers State, Nigeria

References

 

[1] Bharadway, B. & Prakasam, G.(2016). Detection of Lipase and Lecithinase Among Clinical Isolates of Pseudomonas aeruginosa. Research Journal of Pharmacy and Technology, 45 (2), 122-130
[2] Buchanan, J.T.(2006). DNase Expression Allows the Pathogen Group A Streptococcus to Escape Killing in Neutrophil Extracellular Traps. Science Direct 34, 440 -456.
[3] Chakraborty, P. & Nishith, K.P. (2008). Manual of Practical Microbiology and Parasitology (First Edition). Kolkata, India: New Central Book Agency. ISBN 81-7381-556-9
[4] Clasen, T., Smith, L., Albert, J., Bastalle, A. & Fesselet, J, (2006). Drinking Water Response to the Indian Ocean Tsunami: Including the Role of Household Water Treatment. Disaster Review Managers, 15, 190-201.
[5] Collins,C.N.& Lyne,P.M. (1984). Microbiological Methods (6th Edition) Butterworths London.
[6] Duru, M., Amadi, C., Amadi, B., Nsofor, C. & Nze, H.(2013). Effect of Different Water Storage Vessel on Water Quality. Global Research Journal of Science, 2276-8300
[7] Freeman, D.J., Falkiner, F.R., Keane, C.T. (1989). New Method for Detecting Slime Production by Coagulase Negative Staphylococci. Journal of Clinical Pathology,42, , 872-874.
[8] General Laboratory Technology (2007). Percentage Concentration Calculation, Volume per Volume, Weight per Volume. Journal of Biological Methods, 6, 22-80.
[9] Government of Rivers State Nigeria (GRSN), (2016). Urban Water Sector Reform and Port Harcourt Water Supply and Sanitation Project Launch. Rivers State Water Board Report. 45,1-15.
[10] Haas, B. (2014). Characterization of DNAse Activity and Gene in Streptococcus suis and Evidence for a Role as Virulent Factors, Journal of Clinical Pathology, 52 (3), 461-469.
[11] Hawthorne, J. (2018). Critical Facts About Waterborne Diseases in Carolinna Sub-Hub. Journal of Applied Sciences, 5, 117-123
[12] Kovocs, D. G. & Knipers, S. E.(2011). Current and Recent Advanced Strategies for Combating Biofilms, Comprehensive Review in Food Science and Food Safety, 14 (4), 491-509.
[13] LeChevallier B. J (2007). The Effect of Container-Biofilm on the Microbiological Quality of Water Used From Plastic Household Container, Living Healthy, 1 (3), 101-108.
[14] Malama, K.(2015). Lusaka Most Vulnerable to Waterborne Diseases. Newswatch Nation, 41 , 181-187.
[15] Morin,P., Gauthier, V., Saby, S. & Block, J.C. (1999). Bacterial Resistance to Chlorine Through attachment to Particles and Pipe Surfaces in Drinking Water Distribution Systems. Biofilms in Aquatic Systems, 14 , 200- 212
[16] Nagababu, E., Chrest, F.T. & Rifkind, J.M.(2003). Hydrogen-Peroxide Induced Home Degradation in Red Blood Cells: The Protective Roles of Catalase and Glutathione Peroxidase. United States National Library of Medicine, National Institute of Health. 16 (13), 211-217.
[17] Okeke, C. (2018). Contaminated Water as Major Cause of High Death Rate. Leadership Newspaper, 6, 38- 35.
[18] Public Health England (PHE) (2017). Detection and Enumeration of Bacterial in Swabs and Other Environmental Samples. National Infection Service Food Water and Environmental Biology Standard Method,4 (56), 789-795.
[19] Sagar, A. (2015). Basic Microbiology / Culture Media. Xavier’s College, Kathmandu, Nepal. Online Microbiology Notes
[20] Sadekuzzaman, M., Yang, M.R.R. & Mizan, H.A. (2015). Current and Resent Strategies for Combating Biofilms. Reviews in Food Science and Food Safety, 44 (4), 491-509.
[21] Seong, P.,Kim,M.S.,Baik,S.K. &Seong, C.N.(2008). Chryseobacterium aquifrigidense Isolated from a Water Cooling System. International Journal of Systematic and Evolutionary Microbiology, 20, 822-830
[22] Sravan K. C. (2014). Bacteria from Marine Bodies on Artificial Plant Forms. Aquatic Life, 4, 142-154.
[23] Silver, D.(2019). Puerto Ricans at Risk of Waterborne Disease Outbreaks in Wake of Hurricana maria. NBC NewsDigital 4, 14 – 22.
[24] Suzina, N.E., Duda, V.I., Esikova, I.Z & Shorokhova, A.B.(2011). Novel Ultra Micro-bacterial Strains NFA and NF5 of the Genius Chryseobacterium : Facultative Epibionts of Bacillus. Okabs Review, 9 , 7321-7329
[25] Taylor, C.B. & Collins, V.G.(1948). Development of Bacteria in Water Stored in Glass Containers. Freshwater Biological Association, 3, (1), 32-42
[26] Wemedo, S.A, Amadi-Ikpa, C. N. & Essien , J.P. (2016). Population and Virulent Attributes of bacteria in Sachet Water Sold in a Port Harcourt Subhub (Rumuepirikom) Journal of Biology and Genetic Research,2 (3), 2545-5710.

Amadi-Ikpa, C. N., Akani, N. P., Wemedo, S.A. & Williams, J.O. “Biofilm Formation and Virulent Properties of Bacterial Isolates in Stored Drinking Water of Some Homes” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.42-48 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/42-48.pdf

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Akani, N. P., Amadi-Ikpa, C. N. & Wemedo, S.A. August 2020 Page No.: 49-54

The microbial evaluation of drinking water stored in homes have become necessary as the water could be contaminated by pathogens. Questionnaire administration was done, followed collection of one hundred and eighty stored drinking water samples from homes having no toilet/water facilities and homes with toilet/water facilities.  Microbial analyses reported a mean and standard deviation counts of heterotrophic bacteria, Salmonella, Shigella, Vibrio, heterotrophic fungi,  Staphylococcal,  Pseudomonads,  fecal coliform and total coliform bacterial as 1.6 ± 5.8 x 103, 2 ± 1.0 x 102, 0 ± 0.0, 1 ± 1.2 x 102, 0 ± 0.0, 1 ± 1.1 x 102, 0 ± 0.0, 2 ± 2.8 x 102, 6 ± 3.2 x 102 CFU/ml   respectively for homes with toilet/water facilities, while for homes without toilet /water facilities, the counts were 2.8 ± 9.8 x 103, 4 ± 1.2 x 102, 0 ± 0.0,  3 ± 4.6 x 102, 1 ± 1.2 x 102, 6 ± 8.6 x 102, 0 ± 0.0, 3 ± 1.5 x 102,  1.2 ± 9.2 x 103 CFU/ml for  heterotrophic bacteria,  Salmonella,  Shigella, Vibrio, heterotrophic fungi,  Staphylococcal,  Pseudomonads,  fecal coliform and total coliform bacterial respectively. A total of seventy (70) isolates belonging to five (6) genera namely: Staphylococcus aureus, Vibrio spp, Salmonella spp, Escherichia coli, Klebsiella spp and Candida spp were isolated and identified biochemically. The isolates with their prevalence from water samples from homes with water and toilet facilities are Staphylococcus aureus 34%, Vibrio spp 3.4%, Salmonella spp 20.6%, Escherichia coli 31%, Klebsiella spp 10.3%, and Candida spp 0%, while Staphylococcus aureus 34.1%, Vibrio spp 9.7%, Salmonella spp 21.9%, Escherichia coli 26.8%, Klebsiella spp 4.8%, and Candida spp 2.4% were noted for homes without toilet and water facilities. Thus, stored water is challenged by poor storage containers, unhygienic sanitary practice and ignorance, as the water samples did not meet the WHO permissible bacteriological limits for drinking water. It is recommended that households develop an altitudinal interest in water security through the practice of good hygiene.

  •  Page(s): 49-54
  •  Date of Publication: 01 September 2020
  •  Akani, N. P.
    Department of Microbiology, Rivers State University, Nkpolu Oroworukwo, P.M.B.5080, Port Harcourt, Rivers State, Nigeria
  •  Amadi-Ikpa, C. N.
    Department of Microbiology, Rivers State University, Nkpolu Oroworukwo, P.M.B.5080, Port Harcourt, Rivers State, Nigeria
  •  Wemedo, S.A.
    Department of Microbiology, Rivers State University, Nkpolu Oroworukwo, P.M.B.5080, Port Harcourt, Rivers State, Nigeria

References

 

[1] Adna, M. A. (2014). Drinking Water Quality Assessment of the Middle East, the Gaza Strip, Palestine Water Resources and Industry,5 (2), 58-60.
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Akani, N. P., Amadi-Ikpa, C. N. & Wemedo, S.A. “Population of Microbes Associated With Stored Drinking Water in Some Diobu Homes, Port Harcourt, Nigeria” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.49-54 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/49-54.pdf

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Ndema Mbongué Jean-Lavenir, Aroke Eric Alemnju August 2020 Page No.: 55-72

The Pout Njouma area is located in the Nyong unit, which is the northwestern extension of the Congo Craton in southern Cameroon. The assessment of iron mineralization in this area is carried out through rock sampling survey. Representative rock samples were analysed by inductively coupled plasma mass spectrometry (ICP-MS) combined with instrumental neutron activation analysis (INAA) technologies to completely characterize the iron- rich rock samples. The Pout Njouma area is made up of magnetite- gneiss, magnetite- quartzite and banded iron formations; these rocks display microband textures and granoblastic microstructures. The mineral assemblages indicate that magnetite- gneiss and magnetite- quartzite have been metamorphosed under greenschist facies conditions, while banded iron formations display the paragenesis of greenschist to amphibolite facies. This iron deposit belongs to the oxide facies, with magnetite and quartz being the common predominant minerals while sericite and limonite occur as accessory minerals. The Pout Njouma iron occurrence exhibits significant concentration of Fe2O3 + SiO2 (95%), relative elevated values of Al2O3 and TiO2 contents, lower high field strength elements (Y, Hf, Sc, Zr) and variation in enrichment in transition metals. Post Archaean Australian Shale- normalized rare earth elements patterns show slight enrichment in light rare earth elements relative to heavy rare earth elements. The Pout Njouma iron deposits have the composition of Fe-sand, and their geochemical signature indicates that low input of detrital materials contributed to the chemical precipitation of their formation. The absence of a large positive Eu anomaly (Eu/Eu* = 1.01-1.54) indicates that an important role of low-temperature hydrothermal solutions contributed to the deposition of the Pout Njouma ion deposits. Pout Njouma area is of low grade siliceous ore (43.19 to 48.49% Fe2O3) corresponding to depleted iron ore (30 to 50% Fe). The Pout Njouma iron deposits derived from Precambrian rocks which were deposited in an oceanic island-arc margin (ARC) setting where conditions were anoxic and fast sedimentation. The average chemical composition of Pout Njouma iron formations is compared with the known BIFs and the result show SiO2 and Fe2O3 enrichment except in Mballam and Mayo Binka where Fe shows significant elevated values compared with SiO2. Also, data show low concentration of Al2O3, TiO2, CaO and MnO, which infers the non-volcanogenic origin.

  •  Page(s): 55-72
  •  Date of Publication: 01 September 2020
  •  Ndema Mbongué Jean-Lavenir
    Department of Geology, University of Buea; Buea, Cameroon
    Laboratory of Petrology and Structural Geology, Department of Earth Science, UY I; Yaoundé, Cameroon
  •  Aroke Eric Alemnju
    Department of Geology, University of Buea; Buea, Cameroon

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Ndema Mbongué Jean-Lavenir, Aroke Eric Alemnju “Petrology and Geochemical Constraints on the Origin of Banded Iron Formation-Hosted Iron Mineralization from the Paleoproterozoic Nyong Serie (Congo Craton, South Cameroon), Pout Njouma Area (Edea North): Evidence for Iron Ore Deposits” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.55-72 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/55-72.pdf

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Sudhanshu Aggarwal, Aakansha Vyas, Swarg Deep Sharma August 2020 Page No.: 73-80

Volterra integro-differential equation generally appears when an initial value problem is to be converted into an integral equation. In this paper, authors determined the analytical solution of first kind Volterra integro-differential equation using Sadik transform. In this work, authors have considered that the kernel of first kind Volterra integro-differential equation is a convolution type kernel. Some numerical problems have been considered and solved with the help of Sadik transform for explaining the complete methodology. Results of numerical problems show that Sadik transform is very effective integral transform for determining the analytical solution of first kind Volterra integro-differential equation.

  •  Page(s): 73-80
  •  Date of Publication: 02 Septemeber 2020
  •  Sudhanshu Aggarwal
    Assistant Professor, Department of Mathematics, National P.G. College, Barhalganj, Gorakhpur-273402, U.P., India
  •  Aakansha Vyas
    Assistant Professor, Noida Institute of Engineering & Technology, Greater Noida-201306, U.P., India
  •  Swarg Deep Sharma
    Assistant Professor, Department of Mathematics, Nand Lal Singh College Jaitpur Daudpur Constituent of Jai Prakash University Chhapra-841205, Bihar, India

References

 

[1] Aggarwal, S., Chauhan, R., & Sharma, N. (2018). A new application of Mahgoub transform for solving linear Volterra integral equations. Asian Resonance, 7(2), 46-48.
[2] Aggarwal, S., Sharma, N., & Chauhan, R. (2018). Application of Mahgoub transform for solving linear Volterra integral equations of first kind. Global Journal of Engineering Science and Researches, 5(9), 154-161.
[3] Aggarwal, S., Sharma, N., & Chauhan, R. (2018). A new application of Aboodh transform for solving linear Volterra integral equations. Asian Resonance, 7(3), 156-158.
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[5] Aggarwal, S., Chauhan, R., & Sharma, N. (2018). Application of Elzaki transform for solving linear Volterra integral equations of first kind. International Journal of Research in Advent Technology, 6(12), 3687-3692.
[6] Aggarwal, S., Sharma, N., & Chauhan, R. (2018). Application of Aboodh transform for solving linear Volterra integral equations of first kind. International Journal of Research in Advent Technology, 6(12), 3745-3753.
[7] Aggarwal, S., Sharma, N., & Chauhan, R. (2018). Solution of linear Volterra integral equations of second kind using Mohand transform. International Journal of Research in Advent Technology, 6(11), 3098-3102.
[8] Aggarwal, S., Chauhan, R., & Sharma, N. (2018). A new application of Kamal transform for solving linear Volterra integral equations. International Journal of Latest Technology in Engineering, Management & Applied Science, 7(4), 138-140.
[9] Aggarwal, S., Sharma, N., & Chauhan, R. (2018). Solution of linear Volterra integro-differential equations of second kind using Mahgoub transform. International Journal of Latest Technology in Engineering, Management & Applied Science, 7(5), 173-176.
[10] Aggarwal, S., & Gupta, A. R. (2019). Solution of linear Volterra integro-differential equations of second kind using Kamal transform. Journal of Emerging Technologies and Innovative Research, 6(1), 741-747.
[11] Aggarwal, S., Sharma, N., & Chauhan, R. (2018). Application of Aboodh transform for solving linear Volterra integro-differential equations of second kind. International Journal of Research in Advent Technology, 6(6), 1186-1190.
[12] Chauhan, R., & Aggarwal, S. (2018). Solution of linear partial integro-differential equations using Mahgoub transform. Periodic Research, 7(1), 28-31.
[13] Gupta, A. R., Aggarwal, S., & Agrawal, D. (2018). Solution of linear partial integro-differential equations using Kamal transform. International Journal of Latest Technology in Engineering, Management & Applied Science, 7(7), 88-91.
[14] Singh, G. P., & Aggarwal, S. (2019). Sawi transform for population growth and decay problems. International Journal of Latest Technology in Engineering, Management & Applied Science, 8(8), 157-162.
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[17] Aggarwal, S., Sharma, S. D., & Gupta, A. R. (2019). Application of Shehu transform for handling growth and decay problems. Global Journal of Engineering Science and Researches, 6(4), 190-198.
[18] Aggarwal, S., Singh, D. P., Asthana, N., & Gupta, A. R. (2018). Application of Elzaki transform for solving population growth and decay problems. Journal of Emerging Technologies and Innovative Research, 5(9), 281-284.
[19] Aggarwal, S., Gupta, A. R., Singh, D. P., Asthana, N., & Kumar, N. (2018). Application of Laplace transform for solving population growth and decay problems. International Journal of Latest Technology in Engineering, Management & Applied Science, 7(9), 141-145.
[20] Aggarwal, S., Pandey, M., Asthana, N., Singh, D. P., & Kumar, A. (2018). Application of Mahgoub transform for solving population growth and decay problems. Journal of Computer and Mathematical Sciences, 9(10), 1490-1496.
[21] Aggarwal, S., Sharma, N., & Chauhan, R. (2020). Duality relations of Kamal transform with Laplace, Laplace–Carson, Aboodh, Sumudu, Elzaki, Mohand and Sawi transforms. SN Applied Sciences, 2(1), 135.
[22] Aggarwal, S., & Bhatnagar, K. (2019). Dualities between Laplace transform and some useful integral transforms. International Journal of Engineering and Advanced Technology, 9(1), 936-941.
[23] Chauhan, R., Kumar, N., & Aggarwal, S. (2019). Dualities between Laplace-Carson transform and some useful integral transforms. International Journal of Innovative Technology and Exploring Engineering, 8(12), 1654-1659.
[24] Aggarwal, S., & Gupta, A. R. (2019). Dualities between Mohand transform and some useful integral transforms. International Journal of Recent Technology and Engineering, 8(3), 843-847.
[25] Aggarwal, S., & Gupta, A. R. (2019). Dualities between some useful integral transforms and Sawi transform. International Journal of Recent Technology and Engineering, 8(3), 5978-5982.
[26] Aggarwal, S., Bhatnagar, K., & Dua, A. (2019). Dualities between Elzaki transform and some useful integral transforms. International Journal of Innovative Technology and Exploring Engineering, 8(12), 4312-4318.
[27] Aggarwal, S., Sharma, N., Chaudhary, R., & Gupta, A. R. (2019). A comparative study of Mohand and Kamal transforms. Global Journal of Engineering Science and Researches, 6(2), 113-123.
[28] Aggarwal, S., Mishra, R., & Chaudhary, A. (2019). A comparative study of Mohand and Elzaki transforms. Global Journal of Engineering Science and Researches, 6(2), 203-213.
[29] Aggarwal, S., & Sharma, S. D. (2019). A comparative study of Mohand and Sumudu transforms. Journal of Emerging Technologies and Innovative Research, 6(3), 145-153.
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[31] Aggarwal, S., & Chaudhary, R. (2019). A comparative study of Mohand and Laplace transforms. Journal of Emerging Technologies and Innovative Research, 6(2), 230-240.
[32] Aggarwal, S., Gupta, A. R., & Kumar, A. (2019). Elzaki transform of error function. Global Journal of Engineering Science and Researches, 6(5), 412-422.
[33] Aggarwal, S., & Singh, G. P. (2019). Aboodh transform of error function. Universal Review, 10(6), 137-150.
[34] Aggarwal, S., & GP, S. (2019). Shehu Transform of Error Function (Probability Integral). Int J Res Advent Technol, 7, 54-60.
[35] Aggarwal, S., & Sharma, S. D. (2019). Sumudu transform of error function. Journal of Applied Science and Computations, 6(6), 1222-1231.
[36] Aggarwal, S., Gupta, A. R., & Kumar, D. (2019). Mohand transform of error function. International Journal of Research in Advent Technology, 7(5), 224-231.
[37] Aggarwal, S., & Singh, G. P. (2019). Kamal transform of error function. Journal of Applied Science and Computations, 6(5), 2223-2235.
[38] Aggarwal, S., Gupta, A. R., Sharma, S. D., Chauhan, R., & Sharma, N. (2019). Mahgoub transform (Laplace-Carson transform) of error function. International Journal of Latest Technology in Engineering, Management & Applied Science, 8(4), 92-98.
[39] Aggarwal, S., Singh, A., Kumar, A., & Kumar, N. (2019). Application of Laplace transform for solving improper integrals whose integrand consisting error function. Journal of Advanced Research in Applied Mathematics and Statistics, 4(2), 1-7.
[40] Aggarwal, S., Sharma, N., Chauhan, R., Gupta, A. R., & Khandelwal, A. (2018). A new application of Mahgoub transform for solving linear ordinary differential equations with variable coefficients. Journal of Computer and Mathematical Sciences, 9(6), 520-525.
[41] Aggarwal, S., & Sharma, S. D. (2019). Application of Kamal transform for solving Abel’s integral equation. Global Journal of Engineering Science and Researches, 6(3), 82-90.
[42] Aggarwal, S., & Gupta, A. R. (2019). Sumudu transform for the solution of Abel’s integral equation. Journal of Emerging Technologies and Innovative Research, 6(4), 423-431.
[43] Aggarwal, S., Sharma, S. D., & Gupta, A. R. (2019). A new application of Mohand transform for handling Abel’s integral equation. Journal of Emerging Technologies and Innovative Research, 6(3), 600-608.
[44] Aggarwal, S., & Sharma, S. D. (2019). Solution of Abel’s integral equation by Aboodh transform method. Journal of Emerging Technologies and Innovative Research, 6(4), 317-325.
[45] Aggarwal, S., & Gupta, A. R. (2019). Shehu Transform for Solving Abel’s Integral Equation. Journal of Emerging Technologies and Innovative Research, 6(5), 101-110.
[46] Aggarwal, S., Chauhan, R., & Sharma, N. (2018). Mohand transform of Bessel’s functions. International Journal of Research in Advent Technology, 6(11), 3034-3038.
[47] Aggarwal, S., Gupta, A. R., & Agrawal, D. (2018). Aboodh transform of Bessel’s functions. Journal of Advanced Research in Applied Mathematics and Statistics, 3(3), 1-5.
[48] Aggarwal, S., Sharma, N., & Chauhan, R. (2018). Mahgoub transform of Bessel’s functions. International Journal of Latest Technology in Engineering, Management & Applied Science, 7(8), 32-36.
[49] Aggarwal, S. (2018). Elzaki transform of Bessel’s functions. Global Journal of Engineering Science and Researches, 5(8), 45-51.
[50] Chaudhary, R., Sharma, S.D., Kumar, N., & Aggarwal, S. (2019). Connections between Aboodh transform and some useful integral transforms. International Journal of Innovative Technology and Exploring Engineering, 9(1), 1465-1470.
[51] Aggarwal, S., Chauhan, R., & Sharma, N. (2018). Application of Elzaki transform for solving linear Volterra integral equations of first kind. International Journal of Research in Advent Technology, 6(12), 3687-3692.
[52] Aggarwal, S., Sharma, N., & Chauhan, R. (2018). Application of Kamal transform for solving linear Volterra integral equations of first kind. International Journal of Research in Advent Technology, 6(8), 2081-2088.
[53] Aggarwal, S., Asthana, N. & Singh, D.P. (2018). Solution of population growth and decay problems by using Aboodh transform method. International Journal of Research in Advent Technology, 6(10), 2706-2710.
[54] Aggarwal, S., & Bhatnagar, K. (2019). Sadik transform for handling population growth and decay problems. Journal of Applied Science and Computations, 6(6), 1212-1221.
[55] Aggarwal, S., & Sharma, S.D. (2019). Sadik transform of error function (probability integral). Global Journal of Engineering Science and Researches, 6(6), 125-135.
[56] Aggarwal, S., Gupta, A.R., & Sharma, S.D. (2019). Application of Sadik transform for handling linear Volterra integro-differential equations of second kind. Universal Review, 10(7), 177-187.
[57] Aggarwal, S., & Bhatnagar, K. (2019). Solution of Abel’s integral equation using Sadik transform. Asian Resonance, 8(2), (Part-1), 57-63.
[58] Aggarwal, S. (2019). A comparative study of Mohand and Mahgoub transforms. Journal of Advanced Research in Applied Mathematics and Statistics, 4(1), 1-7.
[59] Aggarwal, S. (2018). Kamal transform of Bessel’s functions. International Journal of Research and Innovation in Applied Science, 3(7), 1-4.
[60] Chauhan, R., & Aggarwal, S. (2019). Laplace transform for convolution type linear Volterra integral equation of second kind. Journal of Advanced Research in Applied Mathematics and Statistics, 4(3&4), 1-7.
[61] Sharma, N., & Aggarwal, S. (2019). Laplace transform for the solution of Abel’s integral equation. Journal of Advanced Research in Applied Mathematics and Statistics, 4(3&4), 8-15.
[62] Aggarwal, S., & Sharma, N. (2019). Laplace transform for the solution of first kind linear Volterra integral equation. Journal of Advanced Research in Applied Mathematics and Statistics, 4(3&4), 16-23.
[63] Mishra, R., Aggarwal, S., Chaudhary, L., & Kumar, A. (2020). Relationship between Sumudu and some efficient integral transforms. International Journal of Innovative Technology and Exploring Engineering, 9(3), 153-159.
[64] Sadikali, L.S. (2018). Introducing a new integral transform: Sadik transform. American International Journal of Research in Science, Technology, Engineering & Mathematics, 22(1), 100-102.
[65] Sadikali, L.S. (2018). Sadik transform in control theory. International Journal of Innovative Science and Research Technology, 3(5), 396-398.

Sudhanshu Aggarwal, Aakansha Vyas, Swarg Deep Sharma “Analytical Solution of First Kind Volterra Integro-Differential Equation Using Sadik Transform” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.73-80 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/73-80.pdf

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Basuki Rakhim Setya Permana, Andreas Tri Panudju August 2020 Page No.: 81-88

Attribute Selection is very important for classification process. This research has been done by doing attribute selection using PSO method (Particle Swarm Optimization) on SVM algorithm (Support Vector Machine). The development of the classification model uses three parameters especially data attribute, influence of the transformation of various kernel function and penalty factor (C) toward the performance of SVM and PSO-SVM classification. The analysis uses five kernels in mySVM library that existed in Rapidminer application namely dot, radial, polynomial, neural, and anova kernel. The training data used in the first model classification development is student interest data at ABC high school on 2013-2014 year academic. The first model is evaluated using accuracy, precision, recall, and auc value test. The first result shows that the anova kernel on PSO- SVM is able to work with accuracy level 99.30% using penalty factor 0.1. The second model has been developed to predict student interest in XYZ high school. The second result shows that PSO-SVM with kernel anova is able to classify students interest with 99.29% accuracy level.

  •  Page(s): 81-88
  •  Date of Publication: 02 September 2020
  •  Basuki Rakhim Setya Permana
    Information System Department, Bina Bangsa University
  •  Andreas Tri Panudju
    Industrial Engineering Departments, Bina Bangsa University

References

 

[1]. F. Jui-Hsi, C. Jui-Hung, H. Yueh-Min, and C. Han-Chieh, “A Support Vector Regression based Prediction of Student’s School Performance”, Computer, Consumer and Control (IS3C), International Symposium, pp.84-87, 2012.
[2]. P. Nimit, M. Masayuki, M. Michihiko, “Learning to Estimate Slide Comprehension in Classroom with Support Vector Machines”. IEEE Computer Society, vol. 5, pp.52-61, March. 2012.
[3]. B. Theopilus, “Klasifikasi Jalur Minat Siswa Menggunakan Algoritme Support Vector Machine (SVM) (Kasus: SMA Negeri 1 dan SMA Negeri 2 Sragen)”, Tesis, Jurusan Teknik Elektro dan Teknologi Informasi, UGM, Yogyakarta, 2014.
[4]. J.T. Chung, Y.C. Li, C.Y. Jun, and Y. Cheng-Hong, “Feature Selection using PSO-SVM”, IAENG International Journal of Computer Science, IJCS, February, 2007.
[5]. A. Fatima and S. Kaddour, “Optimization of SVM Multiclass by Particle Swarm (PSO-SVM)”. Modern Education and Computer Science (MECS), vol. 2, pp.32-38, 2010.
[6]. I.H. Witten, E. Frank, and M.A. Hall, “Data Mining Practical Machine Learning Tools and Techniques”, Third Edition, Elsevier Publisher, USA, 2011.
[7]. J. Agustinus, “Sistem Deteksi Intrusi Jaringan dengan Metode Support Vector Machine”, M. Eng, Thesis, Jurusan Ilmu Komputer FMIPA UGM, Yogyakarta, 2012.
[8]. J. Brownlee, “Clever Algorithms,” 2013. [Online]. Available: http://www.cleveralgorithms.com/nature-inspired/swarm.html. [Accessed 28 Juni 2020].
[9]. B. Santosa, “Tutorial Particle Swarm Optimization,” [Online]. Available: http://oc.its.ac.id/ambilfile.php?i dp=1221. [Accessed 28 Juni 2020].
[10]. N. Dhanasaputra and B. Santosa, “Pengembangan Algoritma Cat Swarm Optimization (CSO) untuk Klasifikasi”. Jurnal ITS, p. 3, 2010.
[11]. J. Han, and M. Kamber, “Data mining: Concepts and Techniques”, Third Edition, Morgan Kaufmann Publishers, San Fransisco, 2013.
[12]. S. Ali, and A. Smith, “Improved Support Vector Machine Generalization Using Normalized Input Space”.AI 2010: Advances in Artificial Intelligence, vol.4304, pp.362-371, 2010.

Basuki Rakhim Setya Permana, Andreas Tri Panudju “Comparison and Performance Analysis of SVM and PSO-SVM Algorithms (Case Study Classification of Senior High School) ” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.81-88 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/81-88.pdf

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Ishola, B.F., Ijah, A.A., Ayodele, J.T., Likita, M.S., Awobona, T.A., Omodona, S., Danbaki, C.A, Yahaya, U.F and Olukotun, O. August 2020 Page No.: 89-94

The study was carried out to investigate the benefits and challenges associated with the practices of agroforstry farming in Igabi Local government Area of Kaduna State, Nigeria. Multi- stage in combination with purposive and random sampling techniques were used to select sixty farmers from the study area. Data for the study was obtained through the use of structured questionnaire that were administered to the farmers supported with oral interview of farmers by the researchers. The data collected was subjected to analysis using descriptive stastistics. The results obtained from the study revealed that mal (80.00%) dominated farming activities in the study area. Majority (96.67%) of the farmers were in their active working age group of between 21 and 60 years of age with about 91.67% of the farmers having ability to read and write while 76.67% of the farmers have over 6 years of farming experience. The study also revealed that 66.67% of the farmers are involved in agroforestry practice in the study area with retention of trees on farmland been the most practiced agroforstry type (28.00%) and alley farming been the least practiced agroforestry type(5.00%). The study also revealed that Parkia biglobosa and Vitellaria paradoxa were the two tree species retained on farmlands while Eucalyptus camadulensis was the least grown tree species on farmland in the study area. Income generation (100%), food provision(91.67 %), medicinal purposes (83.33%), source of fuel wood (80%), provision of shade (75%), erosion control (53.33%), fodder for livestock (50%), source of employment (45%), provision of timbers (43.33%), improvement in soil fertility (40%), wind break(38.33%) were the benefits derived from practicing agroforestry by farmers in the study area. However despite of these benefits agroforestry practice is still facing challenges such as lack of farm inputs(86.67%), usage of traditional farm toolsn(80.00%), lack of credit facilities (70.00%), lack of start – up capital (66.67%), scarcity of water(63.33%), high incidence of pests and diseases (60%), lack of awareness concerning agroforestry practice by farmers (55%), problem of land tenure system (36.67%) and poor knowledge about agroforestry practice by the farmers (20,00%). The study therefore recommends that government intervention in the supplying of improved farm inputs should be given to farmers in the study area and farmers are also encourage to form cooperative society to enable them solve problems of lack of start –up capital as well as lack of credit facilities so that they can actively participate in agroforestry practice to combat environmental degradation.

  •  Page(s): 89-94
  •  Date of Publication: 07 September 2020
  •  Ishola, B.F.
    Forestry Research Institute of Nigeria, Jericho Hill, Ibadan,Oyo State, Nigeria
  •  Ijah, A.A.
    Federal College of Forestry Mechanisation, Afaka, Kaduna, Nigeria
  •  Ayodele, J.T.
    Federal College of Forestry Mechanisation, Afaka, Kaduna, Nigeria
  •  Likita, M.S.
    Federal College of Forestry Mechanisation, Afaka, Kaduna, Nigeria
  •  Awobona, T.A.
    Federal College of Forestry Mechanisation, Afaka, Kaduna, Nigeria
  •  Omodona, S.
    Federal College of Forestry Mechanisation, Afaka, Kaduna, Nigeria
  •  Danbaki, C.A
    Federal College of Forestry Mechanisation, Afaka, Kaduna, Nigeria
  •  Yahaya, U.F
    Federal College of Forestry Mechanisation, Afaka, Kaduna, Nigeria
  •  Olukotun, O.
    Federal College of Forestry Mechanisation, Afaka, Kaduna, Nigeria

References

 

[1]. Adedayo, A.G and Oluronke, S. (2014).Farmers’ perception and adoption of agroforestry p ractices in Osun State, Nigeria. Forest Research, 3: 127. doi:10.4172/2168-9776.1000127
[2]. Akinbile, L.A., Salimonu ,K.K and Yekinni, O.T (2017). Farmers Participation in Agroforestry Practices in Ondo State, Nigeria. Research Journal of Applied Sciences, 2: 229-232
[3]. Akinwalere, B. O (2017). Determinants of adoption of agroforestry practices among farmers in Southwest Nigeria. Applied Tropical Agriculture, 22(2): 67-72.
[4]. Amusa, T.A. and Simonyan J. B (2018).. Discrete choice model of farmers’ willingness-to-engage in agroforestry-based farming in Southwest, Nigeria. American Journal of Earth and Environmental Sciences, 1(2): 41-49
[5]. FAO, (2013). Advancing Agroforestry on the Policy Agenda. Agroforestry: Strategy and Policy. Agroforestry working paper No.I, Rome pp.1-10.
[6]. Ibrahim, A. O., Adedeji, A. S. and Meduna, P. N (2019). Constraints Facing Agroforestry Practices among Farmers in New Bussa, Nigeria.Journal of Research in Forestry, Wildlife & Environment , 11(3): 133 – 141.
[7]. Leakey, R.R.B (2017). Definition of agroforestry revisited. In: Multifunctional agriculture – Achieving sustainable development in Africa, RRB Leakey, 5-6, Academic Press, San Diego, California, USA.
[8]. Mustapha, R.I. and Jimoh, S.O (2012). Farmers’ Preferences for Tree Species on Agroforestry System In Ijebu North Local Government Area, Ogun State, Nigeria. Journal o f Agriculture, Forestry and the Social Sciences (JOAFSS), 10 (2): 176 – 187.
[9]. National Population Commission (NPC)(2006).. Provisional figures for 2006 Nigeria’s census. National Population Commission. Retrieved June16, 2020. Available on http://www.nigerianmuse.com.
[10]. Ogunkalu1, O. A., Sodimu, A. I., Sulaiman, R. A. and Adedire, O. O. (2017). Survey of benefits and constraints of urban trees in Kaduna Metropolis. Word News of Natural Sciences, 11: 19 – 27. Available online at www. worldnewsnaturalsciences.com
[11]. United States Agency for International Development (USAID).(2010). ICT to Enhance Farm Extension Services in Africa. FACET Briefing Paper, Washington DC. 35pp.

Ishola, B.F., Ijah, A.A., Ayodele, J.T., Likita, M.S., Awobona, T.A., Omodona, S., Danbaki, C.A, Yahaya, U.F and Olukotun, O. “Benefits and Challenges of Agroforestry Practices in Igabi Local Government Area of Kaduna State, Nigeria” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.89-94 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/89-94.pdf

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Minafa-a Thompson Douglas, Ledisi Giok Kabari August 2020 Page No.: 95-97

Neuro-reactance in human behavior has visual trait in terms of motor and sensory states such as, eye movement, lip movement, remembrance, hand clenching through signal processing technique that provides understanding of the complex inner mechanisms of the brain. In this paper, external interfaces of MATLAB incorporated API function to depict electrical activity of brain signals; by analyzing and processing electroencephalogram (EEG) signals for nonlinearity tendency in brain structure.

  •  Page(s): 95-97
  •  Date of Publication: 07 September 2020
  •  Minafa-a Thompson Douglas
    Post Graduate (Ph.D), Department of Computer Science, Faculty of Natural and Applied Science, Ignatius Ajuru University of Education, Port Harcourt, Rivers State, Nigeria, West Africa.
  •  Ledisi Giok Kabari
    Post Graduate (Ph.D), Department of Computer Science, Faculty of Natural and Applied Science, Ignatius Ajuru University of Education, Port Harcourt, Rivers State, Nigeria, West Africa.

References

 

[1]. Antara, B., Bawane, N.G, Nirkhi, M.S. (2011). “Brain computer interface using EEG signals”, IEEE, 2.
[2]. Charles, D., Creusere, J.K, Srikanth, R.S, Philip, D., Joe, H. (2012). ”Assessment of subjective audio quality from EEG brain responses using time space analysis”, IEEE, 2704.
[3]. Esteve, G.J, Mohamed, E., Francois, V, Jordi, S.C, Andrezej, C., …, Justin, D. (2012). ”Diagnosis of alzeheimer’s disease from eeg by means of synchrony measures in optimized frequency bands”, IEEE, 56-67.
[4]. Ida, M.V, Caminiti, F.F, Alessandro, F., Raffaele, M. (2010). ”Strategies for brain sources and tissues properties identification from eeg/meg and eit signals” IEEE, 978.
[5]. Kostas, M., Vasiliki, I., Giorgos, A.G, Konstantina, S.N and Michalis, Z. (2011). ”Characterization of evoked and induced activity in eeg and assessment of intertrail variability”, IEEE, 78.
[6]. Wallace, E, Ruedade, L, Reilly, R.B, Doherty, C.P., (2012). “The limitations of neuroimaging – a possible role for quantitative Electroencephalography”. Proceedings of the Irish Neurological Association, 61.
[7]. Padierna, O.A, Sosa, Y., Quijano, M.D, and Chong, J.E( 2011). “Development of an EEG signal processing program based on EEGLAB”, IEEE, 199.
[8]. Leif, S. and Pablo, L. (2018). Electrocardiogram (ECG) Signal Processing and Interference Removal for Clinical Extraction. Retrieved from http://www.scholar.google.com.
[9]. Nolan, H., Whelan, R., Reilly, R.B., Bülthoff, Butler, J. (2009). “Acquisition of Human EEG Data during linear Self-Motion on a Stewart Platform”, IEEE research, 23-43.
[10]. Singh, M. and Priya (2015). MATLAB based ECG Signal Noise Removal and Its Analysis. Proceedings of IEEE conference. Retrieved from http://www.researchgate.com on 11th July, 2020.
[11]. Sayadi O, Shamsollahi MB, (2008). ECG denoising and compression using a modified extended structure, IEEE Trans Biomed Eng,55:2240.
[12]. Zhang W, Ma T, Ge L, (2008). Enhancement of ECG signals by multire solution sub band filte. Second International Conference on Bioinformatics and Biomedical Engineering, 21–26.

References

 

[1]. Antara, B., Bawane, N.G, Nirkhi, M.S. (2011). “Brain computer interface using EEG signals”, IEEE, 2.
[2]. Charles, D., Creusere, J.K, Srikanth, R.S, Philip, D., Joe, H. (2012). ”Assessment of subjective audio quality from EEG brain responses using time space analysis”, IEEE, 2704.
[3]. Esteve, G.J, Mohamed, E., Francois, V, Jordi, S.C, Andrezej, C., …, Justin, D. (2012). ”Diagnosis of alzeheimer’s disease from eeg by means of synchrony measures in optimized frequency bands”, IEEE, 56-67.
[4]. Ida, M.V, Caminiti, F.F, Alessandro, F., Raffaele, M. (2010). ”Strategies for brain sources and tissues properties identification from eeg/meg and eit signals” IEEE, 978.
[5]. Kostas, M., Vasiliki, I., Giorgos, A.G, Konstantina, S.N and Michalis, Z. (2011). ”Characterization of evoked and induced activity in eeg and assessment of intertrail variability”, IEEE, 78.
[6]. Wallace, E, Ruedade, L, Reilly, R.B, Doherty, C.P., (2012). “The limitations of neuroimaging – a possible role for quantitative Electroencephalography”. Proceedings of the Irish Neurological Association, 61.
[7]. Padierna, O.A, Sosa, Y., Quijano, M.D, and Chong, J.E( 2011). “Development of an EEG signal processing program based on EEGLAB”, IEEE, 199.
[8]. Leif, S. and Pablo, L. (2018). Electrocardiogram (ECG) Signal Processing and Interference Removal for Clinical Extraction. Retrieved from http://www.scholar.google.com.
[9]. Nolan, H., Whelan, R., Reilly, R.B., Bülthoff, Butler, J. (2009). “Acquisition of Human EEG Data during linear Self-Motion on a Stewart Platform”, IEEE research, 23-43.
[10]. Singh, M. and Priya (2015). MATLAB based ECG Signal Noise Removal and Its Analysis. Proceedings of IEEE conference. Retrieved from http://www.researchgate.com on 11th July, 2020.
[11]. Sayadi O, Shamsollahi MB, (2008). ECG denoising and compression using a modified extended structure, IEEE Trans Biomed Eng,55:2240.
[12]. Zhang W, Ma T, Ge L, (2008). Enhancement of ECG signals by multire solution sub band filte. Second International Conference on Bioinformatics and Biomedical Engineering, 21–26.

References

 

[1]. Antara, B., Bawane, N.G, Nirkhi, M.S. (2011). “Brain computer interface using EEG signals”, IEEE, 2.
[2]. Charles, D., Creusere, J.K, Srikanth, R.S, Philip, D., Joe, H. (2012). ”Assessment of subjective audio quality from EEG brain responses using time space analysis”, IEEE, 2704.
[3]. Esteve, G.J, Mohamed, E., Francois, V, Jordi, S.C, Andrezej, C., …, Justin, D. (2012). ”Diagnosis of alzeheimer’s disease from eeg by means of synchrony measures in optimized frequency bands”, IEEE, 56-67.
[4]. Ida, M.V, Caminiti, F.F, Alessandro, F., Raffaele, M. (2010). ”Strategies for brain sources and tissues properties identification from eeg/meg and eit signals” IEEE, 978.
[5]. Kostas, M., Vasiliki, I., Giorgos, A.G, Konstantina, S.N and Michalis, Z. (2011). ”Characterization of evoked and induced activity in eeg and assessment of intertrail variability”, IEEE, 78.
[6]. Wallace, E, Ruedade, L, Reilly, R.B, Doherty, C.P., (2012). “The limitations of neuroimaging – a possible role for quantitative Electroencephalography”. Proceedings of the Irish Neurological Association, 61.
[7]. Padierna, O.A, Sosa, Y., Quijano, M.D, and Chong, J.E( 2011). “Development of an EEG signal processing program based on EEGLAB”, IEEE, 199.
[8]. Leif, S. and Pablo, L. (2018). Electrocardiogram (ECG) Signal Processing and Interference Removal for Clinical Extraction. Retrieved from http://www.scholar.google.com.
[9]. Nolan, H., Whelan, R., Reilly, R.B., Bülthoff, Butler, J. (2009). “Acquisition of Human EEG Data during linear Self-Motion on a Stewart Platform”, IEEE research, 23-43.
[10]. Singh, M. and Priya (2015). MATLAB based ECG Signal Noise Removal and Its Analysis. Proceedings of IEEE conference. Retrieved from http://www.researchgate.com on 11th July, 2020.
[11]. Sayadi O, Shamsollahi MB, (2008). ECG denoising and compression using a modified extended structure, IEEE Trans Biomed Eng,55:2240.
[12]. Zhang W, Ma T, Ge L, (2008). Enhancement of ECG signals by multire solution sub band filte. Second International Conference on Bioinformatics and Biomedical Engineering, 21–26.

Minafa-a Thompson Douglas, Ledisi Giok Kabari “Electroencephalogram (EEG) and Neuro-Signal for Non-Linearity Analysis in Human Brain” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.95-97 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/95-97.pdf

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Okangba, C.C., Seriki, T. A., Francis, K. M., Adepoju, O. D., Obianozie, C. C., Oguagha, O. L., Thompson E.T., Engime, E., Okangba, K.K., Oyibo, W.A. August 2020 Page No.: 98-103

Deployment of sound diagnostic tests remains a crucial component of malaria management, prevention and control in Africa. Rapid diagnostic tests (RDTs) address the need for accurate diagnosis of malaria particularly in resource limited settings. Misdiagnosis which remains too frequent resulting in antimalarial treatment (Oladosu and Oyibo, 2013). Malaria rapid diagnostic tests (MRDTs) have the potential of significantly improving the diagnosis of malaria in developing countries, especially where there is no adequate microscopy service for the diagnosis of malaria or act as a back-up to microscopy for inexperience personnel. However, the absolute reliance of these tests remains a problem due to uncertainty of the quality of the test and lack of confidence since there is no regulation and lack of proper quality control measures on ground (Okangba, 2019a). There are different commercially available MRDTs in the market these include SD BiolineR, which detects the antibodies of Plasmodium falciparum and Plasmodium vivax using recombinant antigen of merozoite surface protein (MSP), Global DeviceR, Paracheck PfR and Wondfo BiotechR detects Pf histidine-rich proteind (HRP2) and CTK BiotechR detects parasite lactate dehydrogenase (pLDH) in all the species of Plasmodium spp. The quality assessment and heat stability of five commercially procured RDTs (SD BiolineR, Global deviceR, ParacheckR, Wondfo BiotechR and CTK BiotechR). The Quality Assurance (QA) was carried by using prepared Quality Control (QC)  samples at different parasitaemia dilutions. The MRDTs failed the initial quality control testing (QC), since none had up to 100% positive as recommended by WHO. SD BiolineR had percentage positive of 83.3% while Global deviceR, ParacheckR, WondfoR, and CTK BiotechR had percentage positive of 33.3%, 16.7%, 33.3% and 8.3% respectively. For heat stability testing, the RDTs were stored at different temperatures for 50days: Global deviceR, CTK biotechR and WondfoR were kept at 400C, and 450C, ParacheckR at 450C and 500C, while SD BiolineR was kept at 400C. They all showed a substantial fall in percentage test line positivity. All the MRDTs gave a 0% positivity expect for SD Bioline, which gave percentage positive of 25% at 400C temperatures respectively. The marked decline in the performance of the MRDTs can be adversely affected by the high temperatures to which they were exposed to in a tropical country, manufacturer’s defects, poor storage facility, mishandling in the course of transportation and use of sub- standard materials in production .There is need for proper regulatory body to regulate the manufacturing and importation of RDTs against any unwholesome practice. Also, there is need to consider the importance of stability of diagnostic test during procurement.

  •  Page(s): 98-103
  •  Date of Publication: 11 September 2020
  •  Okangba, C.C.
    ANDI Center of Excellence for Malaria Diagnosis/WHO-FIND Malaria Specimen Collection Site, College of Medicine, University of Lagos, Lagos, Nigeria
    Department of Medical Microbiology and Parasitology Benjamin Carson (Snr) School of Medicine, Babcock University. Illisan –Remo, Ogun State, Nigeria
  •  Seriki, T. A.
    Department of Medical Microbiology and Parasitology College of Medicine University of Lagos, Nigeria
  •  Francis, K. M.
    Department of Medical Microbiology and Parasitology College of Medicine University of Lagos, Nigeria
  •  Adepoju, O. D.
    Department of Medical Microbiology and Parasitology College of Medicine University of Lagos, Nigeria
  •  Obianozie, C. C.
    Department of Medical Microbiology and Parasitology College of Medicine University of Lagos, Nigeria
  •  Oguagha, O. L.
    Department of Medical Microbiology and Parasitology College of Medicine University of Lagos, Nigeria
  •  Thompson E.T.
    Department of Medical Microbiology, Jos University Teaching Hospitals, Plateau State, Nigeria
  •  Engime, E.
    Department of Medical Microbiology and Parasitology Benjamin Carson (Snr) School of Medicine, Babcock University. Illisan –Remo, Ogun State, Nigeria
  •  Okangba, K.K.
    Department of Medical Microbiology and Parasitology College of Medicine University of Lagos, Nigeria
  •  Oyibo, W.A.
    Department of Medical Microbiology and Parasitology College of Medicine University of Lagos, Nigeria
    Department of Medical Microbiology and Parasitology Benjamin Carson (Snr) School of Medicine, Babcock University. Illisan –Remo, Ogun State, Nigeria

References

 

[1] Baker, J., McCarthy, J., Gatton, M., Kyle, D. E., Belizario, V., Luchavez, J., Bell, D., Cheng, Q., (2005). Genetic diversity of Plasmodium falciparum histidine-rich protein-2 (PfHRP2) and its effects on the performance of PfHRP-2 based rapid diagnostic tests. Journal of Infectious Disease 192: 870-877
[2] Bell D., Wongsrichanalai C., Barnwell J.W (2006). Ensuring quality and access for malaria diagnosis; how can it be achieved? Nat .Rev. Microbiology 4: S7-S20
[3] Chiodini,P ,L., Katherine B, Pernille J, John W. B, Katherine K. G, Jenny L, Anthony H. Moody, Audie C, and David Bell (2007). The heat stability of Plasmodium lactate dehydrogenase-based and histidine-rich protein 2-based malaria rapid diagnostic tests. Transaction of the Royal Society of Tropical Medicine and Hygiene 101: 331-337
[4] Iqbal, J., A. Sher, Rab, A. (2000). Plasmodium falciparum histidine rich protein-2 based immunocapture diagnosis assay for malaria cross reactivity with rheumatoid factors. Journal of Clinical Microbiology 38: 1184-1186
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[6] Jorgenson, P., Chantap, L., Rebueno, A., Tsuyuoka, R., Bell, D. (2006) Malaria rapid diagnostic tests in tropical climates: the need for cool chain. American Journal of Tropical Medicine and Hygiene 74: 750-754
[7] Mankhambo, L. M., Kanjala, S., Rudman, V.M., Lema, V.M., Rogerson, S.J. (2002). Evaluation of the OptiMAL, rapid antigen test and species-specific PCR to detect placental Plasmodium falciparum infection at delivery. J.Clin. Microbiol 40 (1) p 155-8
[8] Moody Anthony (2002). Rapid diagnostic tests for malaria parasite. Clinical Microbiology Review 15(1): 66-78
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[11] Akinboboye Olutosin (2016). Histidine rich protein 2 performance in determining the prevalence of Malaria among patients presenting with clinical symptoms of Malaria. Scientific Journal of Pure and Applied Sciences. 5(1) 339-350
[12] Okangba, Chika Celen, (2019a). Importance of quality assurance testing of malaria rapid diagnostic test in the case management of malaria Scientific Journal of Pure and Applied Sciences 8(5) 858-875
[13] Okangba, C. C, (2019b). Evaluating the Performance of Locally Purchased Malaria Rapid Diagnostic Test in the Laboratory, Using Highly Characterized Quality Control Samples. International Journal of Research and Innovation in Applied Science (IJRIAS) | Volume IV, Issue V, |ISSN 2454-6194
[14] Oladosu, O. O. and Oyibo, W. A. (2013). Overdiagnosis and overtreatment of malaria in children that presented with fever in Lagos, Nigeria. ISRN Infectious Diseases 914675, 6.
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Okangba, C.C., Seriki, T. A., Francis, K. M., Adepoju, O. D., Obianozie, C. C., Oguagha, O. L., Thompson E.T., Engime, E., Okangba, K.K., Oyibo, W.A. “Failed Initial Quality Control Testing of Procured Malaria Rapid Diagnostic Tests in Lagos State, Nigeria” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.98-103 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/98-103.pdf

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Obed Tiwah John, Abdulmumeen Adekunle Issa, Yakubu Nasiru and Ogbuagada Samson Ozulonye August 2020 Page No.: 104-110

Liver is one of the integral organs in human body. Hepatitis B and C are ranked high amongst killer diseases in the world and Nigeria is said to have large number of people unknowingly living with these viruses. One of the outstanding factors is the poor knowledge of hepatitis B and C amongst the general population including students. This study aimed at assessing knowledge of undergraduate students of ATBU, Bauchi regarding viral hepatitis B and C. This was a questionnaire-based study conducted among students in ATBU, Bauchi using pre-tested self-administered questionnaire. A total of 387 students were enlisted in the study. The tools used for data analysis were frequency distribution, Chi-square tests and odd ratio. Statistical package for social science (SPSS) version 25, R and Microsoft excel 2016 were used for data analysis. A p-value of less than 0.05 was considered statistically significant. It was observed that 86.8% ATBU students have good knowledge of viral Hepatitis B and C sadly, 51 students representing 13.2% have never heard about viral hepatitis. It was also discovered that their knowledge about hepatitis B and C do not depend on the demographic variables, considered in the study. 54.5% students did not know their hepatitis B and C status. 69.8% students have inadequate knowledge about the modes of spreads of viral hepatitis B and C. Findings from this study revealed that ATBU students demonstrated high level of awareness of HBV and HCV infections. Thus, 54.5% participants did not know their status. Students who are well informed about hepatitis B and C were 2 times more likely to know their hepatitis B and C status compared to those with poor or no knowledge. And that, majority of ATBU students have inadequate knowledge about modes of spread of the viruses hence, an urgent need for action.

  •  Page(s): 104-110
  •  Date of Publication: 10 September 2020
  •  Obed Tiwah John
    Department of Mathematical Sciences, Abubakar Tafawa Balewa University (ATBU), Bauchi, Nigeria
  •  Abdulmumeen Adekunle Issa
    Department of Mathematical Sciences, Abubakar Tafawa Balewa University (ATBU), Bauchi, Nigeria
  •  Yakubu Nasiru
    Department of Statistics & Operations Research, MAUTECH, Yola, Nigeria
  •  Ogbuagada Samson Ozulonye
    Federal University, Wukari, Nigeria

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Obed Tiwah John, Abdulmumeen Adekunle Issa, Yakubu Nasiru and Ogbuagada Samson Ozulonye “Awareness Level of Hepatitis B and C among Undergraduate Students of Abubakar Tafawa Balewa University (Atbu), Bauchi” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.104-110 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/104-110.pdf

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Alfred Olufemi Bosede, Adegoke Stephen Olaniyan, Omolara Fatimah Bakre August 2020 Page No.: 111-116

Our aim in this paper is to consider a different type of implicit iteration scheme called Semi-Implicit iteration (SII) scheme and study its strong convergence as well as the stability for a general class of maps in a normed linear space. We establish the rate of convergence and present numerical example which validate that the SII iterative scheme converges better than implicit Mann, implicit Ishikawa iteration and implicit S-iteration schemes.

  •  Page(s): 111-116
  •  Date of Publication: 14 September 2020
  •  Alfred Olufemi Bosede
    Department of Mathematics, Lagos State University, Ojo, Lagos, Nigeria
  •  Adegoke Stephen Olaniyan
    Department of Mathematics, Lagos State University, Ojo, Lagos, Nigeria
  •  Adegoke Stephen Olaniyan
    Department of Mathematics& Statistics, Federal College of Education (Technical), Akoka, Lagos, Nigeria

References

 

[1] O. Bosede, Strong Convergence of Noor Iteration for a General Class of Functions. Bulletin of Mathematical Analysis and Applications.2011; Vol. (2011):140− 145.
[2] O. Bosede and B. E. Rhoades, Stability of Picard and Mann Iteration for a General Class of Functions. Journal of Advanced Mathematical Studies. 2010; 3 (2): 1 − 3.
[3] O. Bosede, Some Common Fixed Point Theorems in Normed Linear Spaces. Acta Univ. Palacki. Olomuc. Fac. rer. nat., Mathematica. 2010; 49(1): 17 − 24.
[4] O. Bosede, H. Akewe, O. F. Bakre and A. S. Wusu, On the Equivalence of Implicit Kirktype Fixed Point Iteration Schemes for a General Class of Maps. Journal of Applied Mathematics and Physics, 2019, 7, 123-137.
[5] E. Rhoades, Fixed Point Theorems and Stability Results for Fixed Point Iteration Procedures. Indian Journal of Pure and Applied Mathematics, Vol. 24, no. 11, pp. 691703; 1993.
[6] E. Chidume and J. O. Olaleru, Picard Iteration Process for a General Class of Contractive Mappings. Journal of Nigerian MathematicalSociety, Vol.33, (2014).pages19–23.
[7] F. Gursoy, V. Karakaya and B. E. Rhoades, Data Dependence Results of New Multi-Step and S-iterative Schemes for Contractive- like Operators. Fixed Point Theory and Applications, 76 (2013), 112.
[8] H. Akewe, G.A. Okeke and A. Olayiwola, Strong Convergence and Stability of Kirk-Multistep-Type Iterative Schemes for Contractive-type Operators. Fixed Point Theory Appl. 45(2014), 24 pages.
[9] H. Akewe, and J. O. Olaleru, On Convergence and Stability of Generalized Noor Iterations for a General Class of Operators. British Journal of Mathematics and Computer Science 3(3): 437− 447, 2013.
[10] M. O. Olatinwo, Stability Results for Some Fixed Point Iterative Processes in Convex Metric Spaces. International Journal of Engineering, Vol. 9, pp. 103106; 2011.
[11] M. O. Olatinwo and C. O. Imoru, Some convergence results for the Jungck-Mann and the Jungck-Ishikawa iteration processes in the class of generalized Zamfirescu operators. Acta MathematicaUniversitatisComenianae, LXXVII, 2,299304, 2008.
[12] M. O. Osilike, Stability Results for Ishikawa Fixed Point Iteration Procedure. Indian Journal of Pure and Applied Mathematics. 1995/96; 26(10): 937-941.
[13] P. Ky and T. Quoc, Stability and convergence of implicit iteration processes. Vietnam Journal of Mathematics, Vol. 32,No. 4, pp. 467473,2004.
[14] R. Chugh, P. Malik and V. Kumar, On a new faster implicit fixed point iterative scheme in convex metric space. J. Funct. Spaces 2015(2015), Article ID 905834, 11pages.
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[16] R. Chugh and V. Kumar, Convergence of SP Iterative Scheme with Mixed Errors for Accretive Lipschitzian and Strongly Accretive Lipschitzian Operators in Banach Spaces. International Journal of Computer Mathematics, Vol. 90, no. 9, pp.18651880, 2013.
[17] S.M. Soltuz, The Equivalence of Picard, Mann and Ishikawa Iterations Dealing with Quasi-Contractive Operators. Math. Commun., 10(2005), 81-88.
[18] T. Zamfirescu, Fixed Point Theorems in Metric Space. Arch. Math. (Basel), 23, 292-298 (1972).
[19] V. Berinde, Picard Iteration Converges Faster Than Mann Iteration for a Class of Quasi-Contractive Operators. Fixed Point Theory and Applications, no. 2, pp.94105, 2004.
[20] Y. Isa, On the Rate of Convergence of Different Implicit Iteration in Convex Metric Space. Konuralp Journal of Mathematics.2018.
[21] Y. Isa and A. Mujahid, Convergence Rate of Implicit Iteration Process and a Data Dependence Result. European Journal of Pure and Applied Mathematics.2017.

Alfred Olufemi Bosede, Adegoke Stephen Olaniyan, Omolara Fatimah Bakre “On the Semi-Implicit Iterative Scheme for a General Class of Map” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.111-116 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/111-116.pdf

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Job W. Wafula, George S. Manyali, John W. Makokha August 2020 Page No.: 117-122

We report temperature dependent elastic constants (TDECs) and thermodynamic properties of B19 TiZr Shape Memory Alloy (SMAs) computed by Quasi-static approximations (QSA) as implemented in thermo_pw code. B19 TiZr is mechanically and dynamically stable at zero pressure with lattice parameter of 3.110 Å and 1.578 for a and the ratio a/c respectively. The first-principles calculations were performed within quantum ESPRESSO code.

  •  Page(s): 117-122
  •  Date of Publication: 14 September 2020
  •  Job W. Wafula
    Department of Science, Technology and Engineering, Kibabii University, 1699-50200, Bungoma, Kenya,
  •  George S. Manyali
    Computational and Theoretical Physics (CTheP), Department of Physical Sciences, Kaimosi Friends University College, 385-50309, Kaimosi, Kenya
  •  John W. Makokha
    Department of Science, Technology and Engineering, Kibabii University, 1699-50200, Bungoma, Kenya

References

 

[1] Otsuka, K., & Ren, X. (1999). Recent developments in the research of shape memory alloys. Intermetallics, 7(5), 511-528.
[2] Rastogi, R., & Pawar, S. J. (2019). A computational study of shape memory effect and pseudoelasticity of NiTi alloy under uniaxial tension during complete and partial phase transformation. Materials Research Express, 6(5), 055702.
[3] Jani, J. M., Leary, M., Subic, A., & Gibson, M. A. (2014). A review of shape memory alloy research, applications and opportunities. Materials & Design (1980-2015), 56, 1078-1113.
[4] Chang, W. S., & Araki, Y. (2016, February). Use of shape-memory alloys in construction: a critical review. In Proceedings of the Institution of Civil Engineers-Civil Engineering (Vol. 169, No. 2, pp. 87-95). Thomas Telford Ltd.
[5] Baloyi, M. E., Modiba, R., Chauke, H. R., & Ngoepe, P. E. (2018). Computational study of binary titanium-based potential shape memory alloys. MS&E, 430(1), 012020.
[6] Kulkarni, M., Mazare, A., Schmuki, P., & Iglič, A. (2014). Biomaterial surface modification of titanium and titanium alloys for medical applications. Nanomedicine, 111, 111.
[7] Baker, H. (1992). Introduction to alloy phase diagrams. Materials Park, OH: ASM International, 1992. 1. 1.
[8] Li, Y., Cui, Y., Zhang, F., & Xu, H. (2011). Shape memory behavior in Ti–Zr alloys. Scripta Materialia, 64(6), 584-587.
[9] Wang, Y., Wang, J. J., Zhang, H., Manga, V. R., Shang, S. L., Chen, L. Q., & Liu, Z. K. (2010). A first-principles approach to finite temperature elastic constants. Journal of Physics: Condensed Matter, 22(22), 225404.
[10] Giannozzi, P., Baroni, S., Bonini, N., Calandra, M., Car, R., Cavazzoni, C., Ceresoli, D., Chiarotti, G., Cococcioni, G., Dabo, I., et al., (2017). Journal of Physics: Condensed Matter, 29, 465901.
[11] Destefanis, M., Ravoux, C., Cossard, A., & Erba, A. (2019). Thermo-elasticity of materials from quasi-harmonic calculations. Minerals, 9(1), 16.
[12] Wang, Y., & Li, L. (2000). Mean-field potential approach to thermodynamic properties of metal: Al as a prototype. Physical Review B, 62(1), 196.
[13] Davies, G. F. (1974). Effective elastic moduli under hydrostatic stress—I. quasi-harmonic theory. Journal of Physics and Chemistry of Solids, 35(11), 1513-1520.
[14] Gülseren, O., & Cohen, R. E. (2002). High-pressure thermoelasticity of body-centered-cubic tantalum. Physical Review B, 65(6), 064103.
[15] Perdew, J. P., Burke, K., & Ernzerhof, M. (1996). Generalized gradient approximation made simple. Physical review letters, 77(18), 3865.
[16] Murnaghan, F. D. (1944). The compressibility of media under extreme pressures. Proceedings of the national academy of sciences of the United States of America, 30(9), 244.
[17] Bashkin, I. O., Fedotov, V. K., Nefedova, M. V., Tissen, V. G., Ponyatovsky, E. G., Schiwek, A., & Holzapfel, W. B. (2003). Crystal structure and superconductivity of TiZr up to 57 GPa. Physical Review B, 68(5), 054401.
[18] Zhang, C. B., Li, W. D., Zhang, P., & Wang, B. T. (2020). Phase transition, elasticity, phonon spectra, and superconductive properties of equiatomic TiZr, TiHf, and ZrHf alloys at high pressure: Ab initio calculations. Computational Materials Science, 178, 109637.
[19] Ikehata, H., Nagasako, N., Furuta, T., Fukumoto, A., Miwa, K., & Saito, T. (2004). First-principles calculations for development of low elastic modulus Ti alloys. Physical Review B, 70(17), 174113.
[20] Malica, C., & Dal Corso, A. (2020). Temperature dependent elastic constants and thermodynamic properties of BAs: An ab initio investigation. Journal of Applied Physics, 127(24), 245103.
[21] Mebtouche, H., Baraka, O., Yakoubi, A., Khenata, R., Tahir, S. A., Ahmed, R., … & Wang, X. (2020). First-principles calculations of the structural, electronic, mechanical and thermodynamic properties of MAX Phase Mon+ 1GeCn (n= 1, 2, and 3) compounds. Materials Today Communications, 101420.
[22] Petit, A. T., & Dulong, P. L. (1819). Study on the measurement of specific heat of solids. Ann. Chim. Phys, 10, 395-413.

Job W. Wafula, George S. Manyali, John W. Makokha “Temperature Dependent Elastic Constants (TDECs) and Thermodynamic Properties of B19 TiZr; Shape Memory Alloy (SMAs)” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.117-122 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/117-122.pdf

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Jus Samuel Sihotang August 2020 Page No.: 123-128

Kantor Pelayanan Perbendaharaan Negara (KPPN) is the initial gate of services from the finance ministry in Indonesia. To realize good public services, the KPPN is the spearhead of service to customers at the regional level. Therefore customer satisfaction is very dependent on the quality of service at KPPN. This study aims to analyze the influence of organizational culture and human resources on customer satisfaction in service at KPPN Sibolga City. This study used an online survey method with an explanatory approach. The population of this study is the employees or staff in the work unit in the Sibolga KPPN area, the sample of this study was 56 respondents determined using the Slovin formula. Data analysis uses multiple linear regression test. The results showed that organizational culture p = 0.001 (p <0.05), and human resources p = 0, 002 (p <0.05) affect customer satisfaction in KPPN Sibolga City. Organization Culture is the most influential factor on customer satisfaction in KPPN Sibolga. KPPN must maintain the organizational culture that has been built so far for customers by applying standard operating procedures that are evaluated regularly, so that the culture that is built becomes a system that can be developed and duplicated in other places.

  •  Page(s): 123-128
  •  Date of Publication: 15 September 2020
  •  Jus Samuel Sihotang
    Widyaiswara of Medan Financial Education and Training Center

References

 

[1] Aaker, David A. 2013. Manajemen Pemasaran Strategi. Edisi kedelapan. Salemba Empat. Jakarta.
[2] Amhas, Muhammad. 2018.Pengaruh Kualitas Sumber Daya Manusia, Kualitas Pelayanan dan Kinerja Pegawai tidak berpengaruh Terhadap Kepuasan Pelanggan Pada Kantor Sistem Administrasi Manunggal Satu Atap (Samsat) Makassar 01 Selatan. Jurnal Mirai Management Volume 3 No.1 2018
[3] Daft, Richard L, 2010. Era Baru Manajemen, Edisi 9, Buku 2, Salemba Empat, Jakarta.
[4] Dewi Hanggraeni, Manajemen Sumber daya Manusia, (Jakarta: LPFEUI, 2012)
[5] Gunadi, Irawan, Adi, Ratnasari, Sri Langgeng., & Wibisono, Chablullah. (2015). Kualitas pelayanan sebagai variabel intervening antara kompetensi pegawai dan budaya kerja terhadap kepuasan mitra di Pelayanan Terpadu Satu Pintu Badan Pengusahaan Kawasan Perdagangan Bebas dan Pelabuhan Bebas Batam. Jurnal Akuntasi, Ekonomi dan Manajemen Bisnis, Volume 3 No. 1. Hal 1-12 Batam: Politeknik Negeri Batam
[6] Karimah, Yunia, Insanatul. 2016. Analisis Kompetensi Kepemimpinan dan Budaya Organisasi Terhadap Kepuasan Pelanggan Melalui Perilaku Responsif (Studi pada PT Garuda Indonesia Kantor Cabang Surabaya). Business and Finance Journal, Volume 1, No. 1, March 2016
[7] Lemke, F., Clark, M., & Wilsom, J. (2011). Customer experience quality: an exploration in business and consumer contexts using repertory grid technique. Journal of the Academy of Marketing Science.39(12)
[8] Sedarmayanti 2012, Reformasi administrasi Publik Birokrasi dan kepemimpinan Masa Depan (Mewujudkan Pelayanan Prima dan kepemerintahan Yang baik),Refika Aditama, Bandung
[9] Siregar, Erna Dora. 2009. “ Pengaruh Budaya Organisasi Terhadap Kualitas Pelayanan Publik (Studi tentang Pelayanan STNK di Kantor Bersama Samsat Pematang Siantar)”. Skripsi. Fakultas Ilmu Sosial dan Ilmu Politik, Universitas Sumatera Utara
[10] Siwu, Priskilla Natalia , Riane J. Pio, Daud M. Liando. 2016. Pengaruh Kepemimpinan, Budaya Organisasi, Kualitas Pelayanan Terhadap Kepuasan Pelanggan PT. Astra Internasional, Tbk. Daihatsu Cabang Malalayang. Jurnal Ilmu Sosial & Pengelolaan Sumberdaya Pembangunan Edisi XXI( Maret – April 2016) Program Pascasarjana Universitas Sam Ratulangi
[11] Sugiyono. 2011. Metode Penelitian Kuantitatif, Kualitatif dan R&D. Bandung: Afabeta
[12] Tjiptomo, Fandy. 2008. Strategi Pemasaran. Yogyakarta: Andi Offset.
[13] Veithzal Rivai, Manajemen Sumber Daya Manusia untuk Perusahaan, (Jakarta: PT. RajaGrafindo Persada, 2004

Jus Samuel Sihotang “The Influence of Organizational Culture and Human Resources to Onwards Customer Satisfaction of Kantor Pelayanan Perbendaharaan Negara (KPPN) Sibolga” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.123-128 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/123-128.pdf

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Adegite Victor Adegoke August 2020 Page No.: 129-132

On January 30 2020 the World Health Organization (2020) declared the novel coronavirus outbreak (COVID-19) a global public health emergency of international concern. This paper examines the effect of COVID-19 pandemic on consumption of telecom products in Nigeria. Secondary data from the financials of MTN Nigeria Communications Plc and telecommunication (Telecom) industry reports the National Bureau of Statistics (NBS) were analyzed. From the review of available data, the author establishes that the consumption of telecom services in Nigeria increased during the period of the first quarter of 2020 which was the period which coincided with the lockdown of the economy. The paper recommends that a similar study is carried out for the period up to June 2020 to determine if the consumption pattern observed for the earlier part of the years persists.

  •  Page(s): 129-132
  •  Date of Publication: 16 September 2020
  •  Adegite Victor Adegoke
    Caleb University, Imota, Lagos, Nigeria

References

 

[1] Agwu, G.A. (2020). Urban biased infrastructures and learning during the COVID-19 lockdown: Evidence from Nigeria. Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3644395
[2] Akingbade, W.A. (2014). Competitive strategies and improved performance of selected Nigeria telecommunication companies. Journal of Entrepreneurship, Management and Innovation.10(4) 143-169.Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2578700
[3] Businesswire. (2016, December 19). Global telecom market report 2017 – Research and markets. Retrieved from https://www.businesswire.com/news/home/20161219005966/en/Global-Telecom-Market-Report-2017—Research
[4] Handa, E & Bergin, S. (2020, 18 May). The Impact of COVID-19 on telecommunications and the future. Retrieved from https://subtelforum.com/the-impact-of-covid-19-on-telecommunications-and-the-future/
[5] International Finance Corporation. (2020). COVID-19’s impact on the global telecommunications industry. Retrieved from www.ifc.org/TMT
[6] International Telecommunications Union. (2019). Measuring digital development – Facts and figures 2019 Retrieved from https://www.itu.int/en/ITUD/Statistics/Documents/facts/FactsFigures2019.pdf
[7] MTN Nigeria Communications PLC (2020) Unaudited Condensed Consolidated Interim Financial Statements For the three months period ended 31 March 2020. Retrieved from https://www.mtnonline.com/
[8] MTN. (2020, 21 May ). Y’ello Hope update on the utilization of MTN network contributions to support during COVID-19. Retrieved from https://mtnonline.com/about-us/yello-hope-update-on-the-utilisation-of-mtn-network-contributions-to-support-during-covid-19/
[9] National Bureau of Statistics. (2020).Telecoms data: Active voice and internet per state, porting and tariff information.(Q1 2020) Retrieved from https://www.nigerianstat.gov.ng/
[10] Nigeria Centre for Disease Control. (2020, 12 June). COVID-19 Nigeria. Retrieved from https://covid19.ncdc.gov.ng/
[11] Nigeria Communications Commission. (2020, 12 June). Industry statistics. Retrieved from https://ncc.gov.ng/statistics-reports/industry-overview#view-graphs-tables-3
[12] Statista. (2020). Contribution of the telecommunications industry in Nigeria as share of GDP. Retrieved from https://www.statista.com/statistics/993010/nigeria-telecom-industry-gdp-contribution/
[13] World Health Organisation. (2020, February 12). COVID-19 public health emergency of international concern (PHEIC) global research and innovation forum. Retrieved from https://www.who.int/publications/m/item/covid-19-public-health-emergency-of-international-concern-(pheic)-global-research-and-innovation-forum
[14] Worldometer. (2020, 9, June). COVID-19 coronavirus pandemic. Retrieved from https://www.worldometers.info/coronavirus/

Adegite Victor Adegoke “Covid-19 and the Consumption of Telecom Products in Nigeria” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.129-132 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/129-132.pdf

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Makasson R. Cland, Offong O. Aniekan, Muhammad A. Tahir, Ogbaka T. David August 2020 Page No.: 133-136

Groundnut oil is an organic material oil derived from groundnuts and it has been noted to have the aroma and taste of its parent legume. The study therefore produced biodiesel crude groundnut oil through alkali catalyzed transesterification using methanol, in the presence of Sodium Hydroxide (NaOH). The physiochemical parameter of biodiesel was characterized and from the results obtained, the methyl ester produced can be effectively used in a diesel engine since the value is within the range of the required standard. Groundnuts oil has biodiesel optimum yield of 93.9% and the fuel properties of the biodiesel are close to that of petroleum diesel and hence can be used as alternative fuel.

  •  Page(s): 133-136
  •  Date of Publication: 16 September 2020
  •  Makasson R. Cland
    Department of Science Laboratory Technology, College of Science and Technology. Adamawa State Polytechnic, Yola. Adamawa State, Nigeria
  •  Offong O. Aniekan
    Department of Science Laboratory Technology, College of Science and Technology. Adamawa State Polytechnic, Yola. Adamawa State, Nigeria
  •  Muhammad A. Tahir
    Department of Science Laboratory Technology, College of Science and Technology. Adamawa State Polytechnic, Yola. Adamawa State, Nigeria
  •  Ogbaka T. David
    Department of Pure and Applied Physics, Adamawa State University, Mubi, Adamawa State, Nigeria

References

 

[1]. https://agronigeria.ng/2018/12/31/groundnut-farming-neglected-but-important-pt-i/
[2]. Shay, E.G. (1993). Diesel Fuel from Vegetable Oil: Status and Opportunities, Biomass Bioenergy, 4(4): pp. 227-242.
[3]. Lang, X., Dalai, A.K., Bakhshi, N.N., Reaney, M.J. and Hertz, P.B. (2001). Preparation and Characterization of Bio-diesels from Various Bio-oils, Bioresource Technology, 80(4): pp. 53-62.
[4]. Munack, A., Krahl, J., Baum, K., Hackbarth, U., Jeberien, H.E., Schutt, C., Schroder, O., Walter, N., Bunger, J., Muller, M.M. and Weigel, A. (2001). Gaseous Compounds, Ozone Precursors, Particle Number and Particle Size Distributions, and Mutagenic Effects Due to Biodiesel, Trans. ASAE 44(3): pp. 179–191.
[5]. Okamura, K. Substitute Fuels for High-Speed Diesel Engines, Journal. Fuel Soc. Japan,
19(1): pp. 691–705 (1940); Chem. Abstract 35: 19647 (1941).
[6]. Okoro N. Linus, Sedoo V. Belaboh, Nwamaka R. Edoye, Bello Y. Makama (2011):
Synthesis, Calorimetric and Viscometric Study of Groundnut oil Biodiesel and Blends. Research Journal of Chemical Sciences, 1(3).
[7]. Sanchez, O.J. and Cardona, C.A. (2008). Trends in Biotechnical Production of Ethanol Fuel from Different Feedstocks, Bioresour. Technol., 37(2): 133-140.
[8]. Saravanan, S., Nagarajan, G., Rao, G. L. N. and Sampath, S. (2007): Feasibility study of crude rice bran oil as a diesel substitute in a DI-CI engine without modifications,
Energy for Sustainable Development, 11(3): 83- 95.
[9]. Yusuf N. and Sirajo, M. (2009). An Experimental Study of Biodiesel Synthesis from Groundnut Oil, Aus. J. Applied Sci., 3: pp. 1623-1629.
[10]. Knothe, G. (2002). Analyzing Biodiesel: Standards and other Methods, Journal of the American Oil Chemist’s Society, 83(10): pp. 823–833.
[11]. Helwani, Z.; Othman, M. R,; Aziz, N.; Fernando, W. J. N.& Kim. J.(2009). Technologies for production of biodiesel focusing on green catalytic techniques: A review. Fuel Processing Technology J. 90 1502-1514.
[12]. Eevera, T.; Balamurughan, P.; and Chittibabu .S. (2011). Characterization of groundnut oil based biodiesel to assess the feasibility for power generation. Energy Sources, Part A. J. 33 1354-1364.
[13]. Carraretto, C.; Macor, A. & Mirandola, A. (2004). Biodiesel as alternative fuel:
Experimental analysis and energetic evaluation. Energy. J. 2195-2211.
[14]. Graboski, M.S., McCormick, R.L. (1998). Combustion of fat and vegetable oil derived fuels in diesel engines. Progress in Energy Combustion Science. J. 24, 125–164.
[15]. Hill, P.D., (2002). Biodiesel Basics. Retrieved from http://www.biodieselgear.com/ on August 16th, 2002. 7-10.
[16]. AOCS (1998). Official Methods and Recommended Practices of the American Oil Chemists Society. Champaign, IL

Makasson R. Cland, Offong O. Aniekan, Muhammad A. Tahir, Ogbaka T. David “Production of Biodiesel from Groundnut Crude Oil ” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.133-136 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/133-136.pdf

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Agbagwa, S. S., Chuku, E. C. & Mbah, C. G. August 2020 Page No.: 137-140

Evaluation of yield and spoilage moulds of Pleurotus ostreatus grown on sawdust, wood ash and cassava bran were conducted in the Department of Plant Science and Biotechnology and Dilomat Farms and Services Limited, Rivers State University. The three substrate materials were subjected to different concentrations and mixtures. A total of ten treatments were formulated including the control containing only sawdust and a combined effect containing all the substrate materials. Yield parameters assessed were height of fruiting body, length of stipe, width of stipe, length of pileus, diameter of pileus and weight of harvest. Sawdust and cassava bran (SCB) treatment had highest height of fruiting body (11.50±1.41). Equal diameter of pileus (6.25±1.06) was recorded for both combined effect (CE) and SWA treatments. However, equal values of pileus length were recorded for both CE and sawdust and wood ash (SWA) treatments. The control treatment had highest values for length of stipe, width of stipe and weight of harvest. Four fungal organisms viz: Rhizopus oryzae, Aspergillus flavus, Fusarium oxysporium and Trichoderma harzianum were found to contaminate the experiment bags. R. oryzae and T. harzianum had equal incidence of 27%. This was followed by 24% incidence recorded for A. flavus. Lowest incidence of 22% was observed for F. oxysporium. The deteriorative activities of these isolates affected the development of higher concentration levels of sawdust and cassava bran treatments as there was no harvest recorded for these treatments due to contamination. Generally, the control treatment performed better than other treatments used.

  •  Page(s): 137-140
  •  Date of Publication: 18 September 2020
  •  Agbagwa, S. S.
    Department of Plant Science and Biotechnology, Rivers State University, Rivers State, Nigeria
  •  Chuku, E. C.
    Department of Plant Science and Biotechnology, Rivers State University, Rivers State, Nigeria
  •  Mbah, C. G.
    Department of Microbiology, Rivers State University, Rivers State, Nigeria

References

 

[1]. OECD, (2006). Section 11- Oyster mushroom (Pleurotus spp: In safety assessment of transgenic organisms, volume 1: OECD consensus document, OECD publishing, Paris, pp277-292.
[2]. Stamets, P., (2000). Growing gourmet and medical mushrooms, 3rd edition. Ten speed press, pp308-315.
[3]. Breitenbach, J., & Kranzlin, F., (1999). Fungi of Switzerland, vol. 4. Agarics 3rd part. Mykologia.Luzern, pp394-397.
[4]. Kues, U., & Liu, Y., (2000). Fruiting body production in basidiomycetes. Appl. Microbiol. Biotechnol., 54: 141-152.
[5]. Kim, G. H., (2000). Genetic analysis of homokaryoptic fruting and mating systems in Pleurotus ostraetus. PhD thesis for the degree of doctor of philosophy, Korea university.
[6]. Godfrey, E. Z., Siti, M. K., & Judith, Z. P., (2010). Effects of temperature and hydrogen peroxide on mycelia growth of eight Pleurotus strains. Scientia Horticulture, 125: 95-102.
[7]. Ahmed, M., Abdullah, N., & Nuruddin, M. M., (2016). Yield and nutritional composition of oyster mushrooms: An alternative nutritional source for rural people. Sains Malaysiana, 45(11): 1609-1615.
[8]. Adebayo, E. A., & Oloke, J. K., (2017). Oyster mushroom (Pleurotus species): A natural functional food. J. of Microbiol. Biotechnol & Food Sci., 7(3): 254-264.
[9]. Edwards, R., (2000). The missing link? Mushroom in permaculture. Permaculture Magazine, 25: 37-39.
[10]. Obire, O., & Amadi, A. O., (2013). Cultivation of mushroom (Pleurotus ostreatus) and the microorganism associated with the substrate used. J. Sci. & Tech., 4: 50-59.
[11]. Sobowale, A. A., Atoyebi, F. T., & Adenipekun, C. O., (2018). Fungal incidence and growth of two Pleurotus species on sawdust of Ceiba pentandra (Lin.) Gaertn and Ficus mucuso Welw (Soft woods). J. Plant Pathol. Microbiol., 9(8): 488.
[12]. Fasidi, I. O., Kadiri, M., Jonathan, S. G., Adenipekun, C. O., & Kuforiji, O. O., (2008). Cultivtaion of edible tropical mushrooms. Ibadan University Press, pp77.
[13]. Ajayi, E. T., & Jonathan, Z. P., (2004). Plant pest and diseases: An approach to control methods. Jab Ojo and Sons, pp152.
[14]. Chinda, M. M., & Chinda, F., (2007). Mushroom cultivation for health and wealth. Image and Media Associates Ltd., pp104.
[15]. Mehrotra, R. S., & Aggarwal, A., (2003). Pythopathological techniques in plant pathology: In Plant pathology 2nd edition. Tata McGraw-Hill publishing company limited, pp821.
[16]. Chuku, E. C., (2009). Fungi responsible for the spoilage of plantain (Musa paradisiaca) at various ripening stage. Acta Agronomical Nigeriana, 9(1&2): 35-45.
[17]. Barnett, H. L., & Hunter, B. B., (1998). Illustrated genera of imperfect fungi, 4th edition. APS press, St. Paul Minnesota, pp218.
[18]. Cheesebrough, M., (2000). Distinct laboratory practice in tropical countries part 2. Cambridge University Press London, pp143-156.
[19]. Chuku, E. C., Agbagwa, S. S., & Worlu, C., (2019). Nutrient quality and associated spoilage fungi of English pear (Pyrus communis L.). Int. J. of Agric., Env. & Bioresearch, 4(6): 317-325.
[20]. Nnaji, P. T., & Rao, A. P., (2017). Fungal contamination of locally processed Nigerian food (okpa): A threat 7 public health. J. of Advances in Micriol., 4(1): 1-8.
[21]. Jonathan, S. G., Nwokolo, V. M., & Ekpo, E. N., (2013). Yield performance of Pleurotus pulmonarius (Freis) Quelet, cultivated on different agro-forest wastes in Nigeria. World Rural Observations, 5(1): 22-30.
[22]. Onuoha, C. I., Uchechi, U., & Onuoha, B. C., (2009). Cultivation of Pleurotus pulmonarius (mushroom) using some agrowaste materials. Agric. J., 4(2): 109-112.
[23]. Das, N., Mishra, S., Biswas, L., & Karmakar, N. C., (2015). Comparative study of five Pleurotus species in warm temperature on non-sterilized rice straw. Emirates J. of Food & Agric., 27(10): 749-755.
[24]. Liasu, M. O., Adeeyo, A. O., Olaosun, O., & Oyedokun, R. O., (2015). Pleurotus pulmonarius cultivation on amended palm press fibre waste. Afri. J. of Biotech., 14(19): 1624-1631.
[25]. Chukwurah, N. F., Eze, S. C., Chiejina, N. V., Onyeonagu, C. C., Ugwuoke, K. I., Ugwu, F. S. O., Nkwonta, C. G., Akobueze, E. U., Aruah, C. B., & Onwuelughasi, C. U., (2012). Performance of oyster mushroom (Pleurotus ostreatus) in different local agricultural waste materials. Afri. J. of Biotechnol., 11(37): 8979-8985.
[26]. Akinmusire, O. O., Omomowo, I. O., & Oguntoye, S. I. K., (2011). Cultivation performance of Pleurotus pulmonarius in Maiduguri, North Eastern Nigerian, using wood chippngs and rice straw waste. Adv. in Env. Biol., 5(8): 2091-2094.
[27]. Chuku, E. C., & Barber, L. I., (2017). Fungal contamination of mushroom spawn. Proceedings of the 9th conference of Mycological Society of Nigeria, 1:81-83.
[28]. Shah, S., Nasreen, S., & Sheikh, P. A., (2012). Cultural and morphological characterization of Trichoderma spp associated with green mold disease of Pleurotus spp in Kashmir. Research J. of Microbiol., 7(2):139-144.
[29]. Okpako, C. E., Ntui, V. O., Osuagwa, A. N., & Obasi, F. I., (2008). Proximate composition and cyanide content of cassava peels fermented with Aspergillus niger and Lactobacillus rhamnosus. J. of Food Agric & Environ., 6(2): 251-255.

Agbagwa, S. S., Chuku, E. C. & Mbah, C. G. “Evaluation of Yield and Spoilage Moulds of Pleurotus Ostreatus Grown on Sawdust, Wood Ash and Cassava Bran” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.137-140 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/137-140.pdf

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Musa Ganaka Kubi, Son-Allah Mallaka Philemon, Olope Ganiu Ibrahim August 2020 Page No.: 141-144

COVID-19 is a disease caused by the novel coronavirus that was reported in China in 2019. The virus has infected more than a million people globally leading to hundred-thousands of deaths. Hence, forecasting the future confirmed cases to support prevention of the disease and aid in the healthcare service preparation is very important especially in developing countries. In order to support governments’ effort in the prevention of COVID-19, we developed an ARIMA model which was used in forecasting future COVID-19 cases in selected West African Countries. The forecasting results from this study indicates an increase cases in the coming days. It is expected that the present prediction models will assist the government and medical personnel in the selected countries to be prepared for the upcoming conditions and have more readiness in healthcare systems.

  •  Page(s): 141-144
  •  Date of Publication: 18 September 2020
  •  Musa Ganaka Kubi
    Department of Mathematics and Statistics, Federal Polytechnic, Nasarawa, Nasarawa State, Nigeria
  •  Son-Allah Mallaka Philemon
    Department of Management & Information Technology, ATBU, Bauchi, Nigeria
  •  Olope Ganiu Ibrahim
    Department of Mathematical Sciences, ATBU, Bauchi, Nigeria

References

 

[1]. Anastassopoulou, C., Russo, L., Tsakris, A., & Siettos, C. (2020). Data-based analysis, modelling and forecasting of the COVID-19 outbreak. PloS one, 15(3), e0230405.
[2]. Fang, Y., Nie, Y., & Penny, M. (2020). Transmission dynamics of the COVID‐19 outbreak and effectiveness of government interventions: A data‐driven analysis. Journal of medical virology, 92(6), 645-659.
[3]. OECD (2020). COVID-19 and West Africa in Numbers. Organization for Economic Cooperation and Development. Retrieved June 17, 2020 from http://www.oecd.org/swac/coronavirus-west-africa/
[4]. Okonta, C. (2020). COVID-19 in West Africa: Let’s Prepare for Long Distance Run. Africa Centre for Disease Control. Retrieved June 16, 2020 from: https://www.msf.org/covid-19-west-africa-preparing-long-distance-run
[5]. Roosa, K., Lee, Y., Luo, R., Kirpich, A., Rothenberg, R., Hyman, J. M., … & Chowell, G. (2020). Real-time forecasts of the COVID-19 epidemic in China from February 5th to February 24th, 2020. Infectious Disease Modelling, 5, 256-263.
[6]. Li, Q., Feng, W., & Quan, Y. H. (2020). Trend and forecasting of the COVID-19 outbreak in China. Journal of Infection, 80(4), 469-496.
[7]. Liu, Z., Magal, P., Seydi, O., & Webb, G. (2020). Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data. arXiv preprint arXiv:2002.12298.
[8]. Grasselli, G., Pesenti, A., & Cecconi, M. (2020). Critical care utilization for the COVID-19 outbreak in Lombardy, Italy: early experience and forecast during an emergency response. Jama, 323(16), 1545-1546.
[9]. Russo, L., Anastassopoulou, C., Tsakris, A., Bifulco, G. N., Campana, E. F., Toraldo, G., & Siettos, C. (2020). Tracing DAY-ZERO and Forecasting the Fade out of the COVID-19 Outbreak in Lombardy. Italy: a compartmental modelling and numerical optimization approach. medRxiv.
[10]. Massonnaud, C., Roux, J., & Crépey, P. (2020). COVID-19: Forecasting short term hospital needs in France. medRxiv.
[11]. Liu, P., Beeler, P., & Chakrabarty, R. K. (2020). COVID-19 Progression Timeline and Effectiveness of Response-to-Spread Interventions across the United States. medRxiv.
[12]. Lover, A. A., & McAndrew, T. (2020). Sentinel Event Surveillance to Estimate Total SARS-CoV-2 Infections, United States. medRxiv.
[13]. Wise, T., Zbozinek, T. D., Michelini, G., & Hagan, C. C. (2020). Changes in risk perception and protective behavior during the first week of the COVID-19 pandemic in the United States.
[14]. Gupta, R., & Pal, S. K. (2020). Trend Analysis and Forecasting of COVID-19 outbreak in India. medRxiv.
[15]. Kim, S. K. (2020). AAEDM: Theoretical Dynamic Epidemic Diffusion Model and Covid-19 Korea Pandemic Cases. medRxiv.
[16]. Zhang, Y., Yang, H., Cui, H., & Chen, Q. (2019). Comparison of the Ability of ARIMA, WNN and SVM Models for Drought Forecasting in the Sanjiang Plain, China. Natural Resources Research, 1-18.
[17]. Imdadullah, M. (2014). Time series analysis. Basic statistics and data analysis.

Musa Ganaka Kubi, Son-Allah Mallaka Philemon, Olope Ganiu Ibrahim “Forecasting the Confirmed Cases of COVID-19 in Selected West African Countries Using ARIMA Model Technique” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.141-144 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/141-144.pdf

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Samaila Abdullahi, Mohd Asyraf Mansor August 2020 Page No.: 145-148

Accurate breast cancer screening is essential to ensure patient with such symptom can be treated accordingly. Medical screening is quite complicated since every patient sign and symptoms will be screened and when the number of features increases the medical practitioner will not able to be screened appropriately. 3Satisfiability Reverse Analysis Method (3-SATRA) incorporated with Hopfield neural network is a new approach for the early detection in breast cancer medical dataset. 3-SATRA has proposed to extract the best logic rule that will representing the attribute of breast cancer dataset since the conventional data extraction techniques focus only on standalone neural network. The proposed method is applied to Breast Cancer dataset obtained from UCI machine learning repository. To pursue that, the results of the analysis will promote the early detection stage used for medical practitioners. The simulation will be executed using Dev C++ 5.11 as a tool for training, testing and validating the performances of the proposed method. The performance of the method was measured based on Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Sum of Squared Error (SSE), and Computational Time. The performance and accuracy of the results obtained have shown the effectiveness of 3SATRA in medical data mining.

  •  Page(s): 145-148
  •  Date of Publication: 18 September 2020
  •  Samaila Abdullahi
    Department of Mathematics, Sokoto State University Sokoto, PMB 2134 Sokoto State, Nigeria
  •  Mohd Asyraf Mansor
    School of Distance Education, Universiti Sains Malaysia, 11800 USM, Pulau Pinang, Malaysia

References

 

[1] G. I. Salama, M. B. Abdelhalim, and M. A. Zeid, “Using Multi-Classifiers,” 2012.
[2] K. Kutzkov, “New upper bound for the #3-SAT problem,” Inf. Process. Lett., vol. 105, no. 1, pp. 1–5, 2007.
[3] M. A. Mansor, S. Sathasivam, and M. S. M. Kasihmuddin, “3Satisfiability Logic Programming Approach for Cardiovascular Diseases Diagnosis,” AIP Conf. Proc., vol. 1974, 2018.
[4] M. A. Mansor and S. Sathasivam, “Accelerating Activation Function for 3- Satisfiability Logic Programming,” Int. J. Intell. Syst. Appl., 2016.
[5] S. Sathasivam and W. A. T. Wan Abdullah, “Logic mining in neural network: Reverse analysis method,” Comput. (Vienna/New York), 2011.
[6] R. ul Rojas, Neural Networks: A Systematic Introduction Springer. 2013.
[7] J. L. Johnson, “A neural network approach to the 3Satisfiability problem,” J. Parallel Distrib. Comput., 1989.
[8] J. J. Hopfield, “Neural networks and physical systems with emergent collective computational abilities Biophysics,” Proc. Natl. Acad. Sci., 1982.
[9] W. A. Little, “The Existence of Persistent States in the Brain I . INTRODUCTION In this paper we examine the long term behavior of a neuronal network such as the human brain . We will start from the assumption that the state of the brain at any time may be described by,” vol. 120, no. 1974, pp. 145–146, 1974.
[10] S. Sathasivam, “Application of Neural Networks in Predictive Data Mining,” 2011 2nd Int. Conf. Bus. Econ. Res., pp. 371–376, 2011.
[11] S. Sathasivam, “Logic Mining in Neural Networks,” 2006.

Samaila Abdullahi, Mohd Asyraf Mansor “3-Satisfiability Reverse Analysis Method for Breast Cancer Detection” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.145-148 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/145-148.pdf

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Randriamanantenasoa Njeva, Chrysostome Andrianantenaina, Jean Claude Rakotoarisoa, Jean Nirinarison Razafinjaka August 2020 Page No.: 149-154

Several MPPT algorithms are proposed for photovoltaic system. In this work, various algorithms have been presented such as P&O so-called conventional, MPPT based on fuzzy logic, and the method using the artificial neural network. The aim is to compare the results of the above mentioned methods after performing the simulation with the Simulink Matlab software. Simulation results show that the artificial neural network leads to good performances.

  •  Page(s): 149-154
  •  Date of Publication: 20 September 2020
  •  Randriamanantenasoa Njeva
    Phd Student , EDT-ENRE, University of Antsiranana /Madagascar
  •  Chrysostome Andrianantenaina
    Phd Student , EDT-ENRE, University of Antsiranana /Madagascar
  •  Jean Claude Rakotoarisoa
    Doctor, University of Antsiranana /Madagascar
  •  Jean Nirinarison Razafinjaka
    Higher Polytechnic School, University of Antsiranana /Madagascar

References

 

[1] S. Pant and R. P. Saini, “Comparative Study of MPPT Techniques for Solar Photovoltaic System,” 2019 International Conference on Electrical, Electronics and Computer Engineering (UPCON), ALIGARH, India, 2019, pp. 1-6, doi: 10.1109/UPCON47278.2019.8980004. https://ieeexplore.ieee.org/abstract/document/8980004. Febroary 2020.
[2] K. Ishaque, Z. Salam, M. Amjad and S. Mekhilef, “An Improved Particle Swarm Optimization (PSO)–Based MPPT for PV With Reduced Steady-State Oscillation,” in IEEE Transactions on Power Electronics, vol. 27, no. 8, pp. 3627-3638, Aug. 2012, doi: 10.1109/TPEL.2012.2185713. https://ieeexplore.ieee.org/document/6138329. January 2012.
[3] H. Patel and V. Agarwal, “Maximum Power Point Tracking Scheme for PV Systems Operating Under Partially Shaded Conditions,” in IEEE Transactions on Industrial Electronics, vol. 55, no. 4, pp. 1689-1698, April 2008, doi: 10.1109/TIE.2008.917118. https://ieeexplore.ieee.org/document/4439206. April 2008.
[4] J. Ahmed and Z. Salam, “A soft computing MPPT for PV system based on Cuckoo Search algorithm,” 4th International Conference on Power Engineering, Energy and Electrical Drives, Istanbul, 2013, pp. 558-562, doi: 10.1109/PowerEng.2013.6635669. https://ieeexplore.ieee.org/document/6635669. Octobre 2013.
[5] Razieh Khanaki, M.A.M. Radzi, M. Hamiruce Marhaban. ‘’ Comparison of ANN and P and O MPPT Methods for PV Applications under Changing Solar Irradiation.’’ https://ieeexplore.ieee.org/document/6775642. Novembre 2013.
[6] S.R. Revathy, V. Kirubakaran. ‘’ A critical review of artificial neural networks based maximum power point tracking techniques. http://www.jcreview.com/fulltext/197-1592485852.pdf. Mai 2020
[7] Chrysostome Andrianantenaina, Solofanja Jeannie Rajonirina, NirinarisonJean Razafinjaka. ‘’Comparative study of MPPT algorithms for photovolataic system’’. https://www.researchgate.net/publication/335960444. Septembre 2019
[8] L. Abderezak, B. Aissa and S. Hamza, “Comparative study of three MPPT algorithms for a photovoltaic system control,” 2015 World Congress on Information Technology and Computer Applications (WCITCA), Hammamet, 2015, pp. 1-5, doi: 10.1109/WCITCA.2015.7367039 https://ieeexplore.ieee.org/document/7367039. January 2016

Randriamanantenasoa Njeva, Chrysostome Andrianantenaina, Jean Claude Rakotoarisoa, Jean Nirinarison Razafinjaka “Comparative Study of MPPT Techniques For Solar Photovoltaic System” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.149-154 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/149-154.pdf

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Sudhanshu Aggarwal, Swarg Deep Sharma, Harendra Singhal August 2020 Page No.: 155-156

In this article, authors discussed the existence of solution of Diophantine equation 223x+ 241y=z2, where x,y,z are non-negative integers. Results show that the consider Diophantine equation of study has no non-negative integer solution.

  •  Page(s): 155-156
  •  Date of Publication: 20 September 2020
  •  Sudhanshu Aggarwal
    Assistant Professor, Department of Mathematics, National P.G. College, Barhalganj, Gorakhpur-273402, U.P., India
  •  Swarg Deep Sharma
    Assistant Professor, Department of Mathematics, Nand Lal Singh College Jaitpur Daudpur Constituent of Jai Prakash University Chhapra-841205, Bihar, India
  •  Harendra Singhal
    Assistant Professor, Noida Institute of Engineering & Technology, Greater Noida-201306, U.P., India

References

 

[1]. Acu, D. (2007) On a Diophantine equation 2
x+5
y=z
2, General Mathematics, 15(4), 145-148.
[2]. Kumar, S., Gupta, S. and Kishan, H. (2018) On the non-linear Diophantine equations 〖61〗
x+〖67〗
y=z
2 and 〖67〗
x+〖73〗
y=z
2, Annals of Pure and Applied Mathematics, 18(1), 91-94.
[3]. Kumar, S., Gupta, D. and Kishan, H. (2018) On the non-linear Diophantine equations 〖31〗
x+〖41〗
y=z
2 and 〖61〗
x+〖71〗
y=z
2, Annals of Pure and Applied Mathematics, 18(2), 185-188.
[4]. Mordell, L.J. (1969) Diophantine equations, Academic Press, London, New York.
[5].Rabago, J.F.T. (2013) On an open problem by B. Sroysang, Konuralp Journal of Mathematics, 1(2), 30-32.
[6]. Sierpinski, W. (1964) Elementary theory of numbers, Warszawa.
[7]. Sroysang, B. (2012) More on the Diophantine equation 8
x+〖19〗
y=z
2, International Journal of Pure and Applied Mathematics, 81(4), 601-604.
[8]. Sroysang, B. (2014) On the Diophantine equation 8
x+〖13〗
y=z
2, International Journal of Pure and Applied Mathematics, 90(1), 69-72.
[9]. Sroysang, B. (2012) On the Diophantine equation 〖31〗
x+〖32〗
y=z
2, International Journal of Pure and Applied Mathematics, 81(4), 609-612.

Sudhanshu Aggarwal, Swarg Deep Sharma, Harendra Singhal “On The Diophantine Equation 223x+ 241y=z2” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.155-156 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/155-156.pdf

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Nnamdi Johnson Ezeora, Uzo Izuchukwu Uchenna, Gregory E. Anichebe, Obayi Adaora Angela, Mathew Daniel E, Ihedioha Uchechi. M, Onyedeke, Obinna C, Uka Emmanuel Uche August 2020 Page No.: 157-164

With the increase in the number of student population, new programs being attached, an automated time-tabling system is required to cater for this increase. Most of the time-tabling problems belong to the class of (Non Polynomial) NP-hard problems, as no deterministic polynomial algorithm exists. Timetable definition is the total schedule of specific lectures attended by a group of students in an institution and the lecturers at a specific time. When solving the timetabling problem, we are usually looking for some solution, which will be the best among others. The space of all feasible solutions which is the series of desired solutions with some more desirable than the others is called search space (also state space). Each point in the search space represents one feasible solution which can be “marked” by its value or fitness for the problem. The solution is usually one point in the search space. This research centers on the utilization of computerized system concerning electronic planning and exam booking control arrangement in tertiary Institutions. The work conquers the manual arrangement of activities with respects to the issues timing and planning. The work was effectively evolved utilizing python structure, SQLite Database. Client experience was utilized, an easy to use programming language, and the bundle was tried and enhanced to yield a mechanized Time table plan booking control framework

  •  Page(s): 157-164
  •  Date of Publication: 20 September 2020
  •  Nnamdi Johnson Ezeora
    Department of Computer Science, University of Nigeria, Nsukka
  •  Uzo Izuchukwu Uchenna
    Department of Computer Science, University of Nigeria, Nsukka
  •  Gregory E. Anichebe
    Department of Computer Science, University of Nigeria, Nsukka
  •  Mathew Daniel E
    Department of Computer Science, University of Nigeria, Nsukka
  •  Ihedioha Uchechi. M
    Department of Computer Science, University of Nigeria, Nsukka
  •  Onyedeke, Obinna C
    Department of Computer Science University of Kairouan, Tunisia
  •  Uka Emmanuel Uche
    Department of Computer Science, University of Nigeria, Nsukka

References

 

[1]. Burke E. K. and Petrovic S. Recent research directions in automated timetabling [J] European Journal of Operational Research, 2002, 140(2):.266-280.
[2]. Chowdhary A. Kakde P. Dhoke S. Ingle S. Rushiya R. and Gawande D. Timetable generation system. [J] International Journal of Computer Science and Mobile Computing, 2014 3(2).
[3]. Bayo M.I. and Izah O. M. Towards the Implementation Electronic Lecture Timetable System at Ambrose Alli University [J] Applied Science Research Journal. 2014, 1(2): 27-37.
[4]. de Werra D. Some combinatorial models for course scheduling. Practice and Theory of Automated Timetabling, 1996, pp.296-308.
[5]. Burke E., Practice and Theory of Automated Timetabling. [C] In: Proceedings of 1st International Conference, Edinburgh, UK, and August 29-September 1, 1995.
[6]. Bambrick L. Lecture Timetabling Using Genetic Algorithms. Department of Electrical and Computer Engineering, The University of Queensland, 1997, pp.29.
[7]. “OPUS-College Timetable Module Design Document” Journal of Computer Science 1, 1-7.
[8]. Fernandes, C.: Infected Genes Evolutionary Algorithm for School Timetabling. WSES International Conference (2002)
[9]. Eley, M.: Ant Algorithms for the Exam Timetabling Problem. 6th International Conference on the Practice and Theory of Automated Timetabling, PATAT’06 (2006)
[10]. Chan, H. W.: School Timetabling Using Genetic Search. 2th International Conference on the Practice and Theory of Automated Timetabling, PATAT’97 (1997).
[11]. Fang, H. L.: Genetic Algorithms in Tametabling Problems. PhD Thesis, University ofEdinburgh (1994)
[12]. Oliveira, E., Reis L.P.: A Language for Specifying Complete Timetabling Problems. 3th International Conference on the Practice and Theory of Automated Timetabling PATAT’2000 (2000).
[13]. Gröbner, M., Wilke P.: A General View on Timetabling Problems. 4th International Conference on the Practice and Theory of Automated Timetabling PATAT’2002 (2002)

Nnamdi Johnson Ezeora, Uzo Izuchukwu Uchenna, Gregory E. Anichebe, Obayi Adaora Angela, Mathew Daniel E, Ihedioha Uchechi. M, Onyedeke, Obinna C, Uka Emmanuel Uche “An Automatic Examination Timetable System Using Selection and Crossover Technique” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 8 August 2020, pp.157-164 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue8/157-164.pdf

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