Okpebholo E.G., James D.B, Anigo K. M, Ajike S.O February 2020 Page No.: 01-06
The Nutritional status, frequency of sweetened foods consumption and prevalence of cariogenicity with its associated level of Risk in adolescents of Zaria, Kaduna Nigeria was investigated. The prevalence of malnutrition among the adolescents of the sampled population was 25.4%, while the Prevalence of dental caries was discovered to be 23.4%, with mean DMFT 0.39 and Significant Caries (SiC) Index of 0.66, presented as low with decayed tooth component found to be highest, reflecting high levels of Untreated caries, with 16.9% at Low Risk, 68.7% Moderate Risk and 14.3% High Risk of dental caries. More than half (76.6%) of the students were caries-free and the majority of those with dental caries experience were aged 16–19 (14.03%) and females (14.6%), Multiple logistic regression analysis revealed a negative and very weak correlation (R<0.2), between nutritional status, sweetened foods consumption and caries occurrence. P- values (0.916 >0.05), with highest untreated cases recorded among Females (53.75%) and older adolescents 16-19 years (51.2%). In conclusion, although the frequency of sweetened foods consumption may not be significantly linked to nutritional status and the prevalence of cariogenicity, a portion of the adolescents are still at high and moderate risk levels of dental caries and malnutrition.
- Page(s): 01-06
- Date of Publication: 16 February 2020
- Okpebholo E.G.
Nutrition and Dietetics Unit, National Defence College Clinic, Central Area , Abuja Nigeria - James D.B
Department of Biochemistry, Ahmadu Bello University, Zaria Nigeria - Anigo K. M
Department of Biochemistry, Ahmadu Bello University, Zaria Nigeria - Ajike S.O
Oral and Maxillofacial Surgery Unit, Ahmadu Bello University Teaching Hospital, Zaria, Nigeria
References
[1] Stedman’s Medical Dictionary
[2] Centers for Disease Control and Prevention, (2009). Dental caries (tooth decay) hygiene-related diseases. Fluoridation nature’s way to prevent tooth decay CDC recommendations.
[3] Featherstone, J.D. (2004). The continuum of dental caries, evidence for a dynamic disease process. Journal of Dental Research; 83:39-42.
[4] Vadiakas, G. (2008) Case definition, aetiology and risk assessment of early childhood caries (ECC): a revisited review. European Archives Paediatric Dentistry. 9(3):114-125.
[5] Batista, L. R. V., Moreira, E.A.M., and Corso A.C.T .,(2007). Food, nutritional status and oral condition of the child. Revised Nutrition Journal. 20(2):191-6.
[6] De Marchi, R.J., Hugo, F.N., Hilgert, J.B., and Padilha D.M., (2008). Association between oral health status and nutritional status in south brazilian independent- living older people. Nutrition Journal 24(6):546-53.
[7] Panwar, N.K., Mohan, A., Arora, R., Gupta, A., Marya, C.M., and Dhingra, S. (2014). Study on Relationship Between the Nutritional Status and Dental Caries in 8-12 Year Old Children of Udaipur City, India. Kathmandu University Medical Journal 45(1):26-31.
[8] World Health Organisation/International Federation of Dentists, (WHO/FDI 2000) Global goals for oral health in the year 2000. International Dental Journal. 23:74–7.
[9] Sheetal .A., Hiremath. V. K, Patil. A.G., Sajjansetty.S., and Kumar S. (2013) Malnutrition and its Oral Outcome – A Review Journal of Clinical and Diagnostic Research. Jan; 7(1): 178–180. Published online 2013 Jan 1. doi: 10.7860/JCDR/2012/5104.2702 PMCID: PMC3576783PMID: 23449967
[10] Chang, H.S., and Kim, M.J. (2006). The study on dietary behaviors of elementary school student in Chungnam area according to the school food service type, gender and grade. Korean Journal of Community Nutrition 11: 608-617.
[11] Touger-Decker, R., and Mobley, C.C. (2007). American Dietetic Association. Position of the American Dietetic Association: Oral Health and Nutrition. Journal of American Dietetic Association 107(8):1418–28
[12] Evans,.W., Hayes, C., Palmer, C.A., Bermudez, O.I., Cohen, S.A. and Must, A.
(2013). Dietary intake and severe early childhood caries in low-income, young children. Academic Journal of Nutrition and Diet.113(8): 1057–1061.
[13] Petersen, P. E. Bourgeois, D. Ogawa, H. Estupinan-Day S., and Ndiaye, C. (2005). “The global burden of oral diseases and risks to oral health,” Bulletin of the World Health Organization, Vol. 83,9, pp. 661–669
[14] Sanu, O.O., Oredugba, F.A., and Adebola, R.A. (2010). Oral and Dental Diseases among
Children and Adolescents in Kano, Nigeria. Pesquisa Brasileira em Odontopediatria e Clínica Integrada, 10(3), 445-450
[15] Ukeje, C.N., Agbelusi, G.A., Jeboda, S.O. (2000) Presenting complaints of patients at the Oral Diagnosis Clinic of Lagos University Teaching Hospital (LUTH). Nigeria. Journal of Hospital Medicine 10:121-5
[16] Osurhor, A. (2007). Assessing the Dental State of Primary School Children in Zaria City. Nigeria Journal of Epidemiology and Community Health (35): 224-226
[17] Okoye, L.O., and Ekwueme O.C. (2011). Prevalence of dental caries in a Nigerian rural community: a preliminary local survey. Annual Medical Health Science Research, 1:187–195.
[18] WHO, 2010 https://providers.amerigroup.com/ProviderDocuments/NJNJ_CAID_SMILES_AAPDCariesRiskAssessmentTool.pdf
[19] World Health Organization, (1996). The Status of School Health, Report of the School Health Working Group and the WHO Expert Committee on Comprehensive School Health Education and Promotion, Geneva, Switzerland.
[20] Mwakatobe. A.J. and Mumghamba, E. G. (2007) “Oral health behavior and prevalence of dental caries in Dar-es-Salaam,” Tanzania Dental Journal, 14;1–7.
[21] Mosha H. J, Senkoro A.R, Masalu J.R.P, Kahabuka .F Mandari .G, Mabelya .L, Kalyanyama .B.,( 2005) “Oral health status and treatment needs among Tanzanian of different age groups. Tanzania Dental Journal Vol. 12(1): 18-27 Tanzania,” Tanzania Dental Journal,
12, 1;18–27.
[22] Okeigbemen, S.A. (2004). The prevalence of dental caries among 12 to 15-year-old school children in Nigeria: report of a local survey and campaign. Oral Health Preventive Dentistry 2:27–31.
[23] World Health Organization, (2013). Oral health surveys: basic methods. 5th Edn. WHO publication,Geneva. Annex 2.
[24] Petersen P.E. (2000). Dental caries experience (DMFT) of 12 year old children according to WHO region. WHO global oral health data bank and WHO oral health country/Area profile programme, 2000
[25] Petersen, P.E. (2003). The world oral health Report: Continuous improvement of oral health in the 21st century. The approach of the WHO global Oral health programme. Community Dentistry. Oral Epidemiology Journal 31(1):3-23
[26] Carniero, L. C., and Kabulwa, M.N., (2012). Dental caries and supragingival plaque and calculus among students in Tanga, Tanzania. ISRN Dent:245296
Okpebholo E.G., James D.B, Anigo K. M, Ajike S.O “Relationship between Nutritional Status, Sweetened Foods Consumption and Prevalence of Cariogenicity with Associated Level of Risk in Adolescents- Case of Sabongari LGA Zaria, Kaduna State Nigeria” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 2 February 2020, pp.01-06 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue2/01-06.pdf
For Full Text Click here
Nwosu, Leonard. I. February 2020 Page No.: 07-20
Electrical resistivity method was adopted in mapping sand/gravel beds for commercial mining and delineation of water table in Njaba river bank and environs. To achieve this, 10 vertical electrical soundings (VES) were carried out within the study area. Along the Njaba river bank, one profiling using the Wennerelectrode array was also carried out to determine the lateral extent of the sand/gravel beds. Field data were acquired using the Ohmega-500 resistivity metre and accessories. The Schlumberger electrode configuration with maximum electrode spread of 700m was adopted. At each VES point, the coordinates and elevation were measured using the Global Positioning System (GPS). The field data were interpreted using Advanced Geosciences Incorporation (AGI) 1D software and the Schlumberger automatic analysis version. The results revealed that the area is underlain by multi-geoelectric layers with about 7 to 9 lithologic units identified. Sand and gravel were mapped along Njaba river bank to a depth of about 5 to 10 m and at Amucha erosion site. The beds are thick enough for commercial mining for building and construction materials. The profiling along Njaba river bank shows the lateral extent of the sand/gravel bed with concentration increasing towards the river. The depth to aquifer varied across the study area while aquifer resistivity ranged from 0.10Ωm to 14978.2Ωm. The aquifer is thick enough especially around Njaba area for drilling water boreholes as alternative source of potable water to the polluted Njaba river.
- Page(s): 07-20
- Date of Publication: 17 February 2020
- Nwosu, Leonard. I.
Department of Physics, University of Port Harcourt, Nigeria
References
[1] Adetola, B.A. and Igbedi, A.O.(2000). The use of electrical resistivity survey in location of aquifers: A case study in Agbede South Western Nigeria. Journalof Nigerian Association of Hydro-geologists, Vol. 11: 7-13.
[2] Akaolisa, C.C.Z. and Selemo, A.O.I.(2009). A study of the sand and gravel deposit around the permanent site of the Federal University of Technology, Owerri using the Vertical Electrical Sounding (VES) techniques; Nigerian Journal of Physics, 21:81-88.
[3] Akpokodje, E .C, Akaha, C .T. (2010) . Gully Erosion geo-hazards in the South eastern Nigeria and Management Implications. Scientia Africana 10: 101.
[4] Brousse, J .J. (1963). Modern geophysical methods for subsurface water exploration: Geophysics, v.28/4, p. 634-635.
[5] Ezezika, O.C. andAdetona,O. (2011).Resolving the gully erosion problem in SE Nigeria: Innovation through public awareness.J of Soil Sci and Environ Mgt 2(10): 2986-2908.
[6] Mbonu, D.D.C., Ebeniro, J.O., Ofoegbu, C.O and Ekine, A.S. (1991).Geoelectrical sounding for determination of aquifer characteristics in Umuahia area of Nigeria.Geophysics, 56(5), 284-291.http://dx.doi.org/10.1190/1.1443042
[7] Nwachukwu, M. A., Aslan, A. and Nwachukwu, M. I. (2010).Application of Geographic Information System (GIS) in sustainable groundwater development, Imo River Basin Nigeria.International Journal of water Resources and Environmental Engineering Vol. 5(6), 310-320.
[8] Nwachukwu, M.A. and Mbaneme F.C. (2012).Environmental Hazard and Affordable Safety Measures at Abandoned Quarry Pits, Lower Benue Trough Nigeria.International Journal of Environmental Science Management and Engineering Research 1(5): 191 – 203
[9] Nwachukwu, M. A., Nwachukwu, M. I., Ahiarakwe C.O. and Nwankwo G.I., (2017).Abandoned Borrow Pit; Risk Factor and Reclamation Procedure.MOJ Civil Eng 2017, 2(3): 00033
[10] Nwosu, L.I., Ekine, A.S and Nwankwo, C.N. (2013). Evaluation of groundwater potential from Pumping Test Analysis and Vertical Electrical Sounding Results: A case study of Okigwe District of Imo State, Nigeria. Pacific Journal of Science and Technology. 14(1):536-548.
[11] Olorunfemi, M.O and Fasuyi, S.A., (1993).Aquifer types and the geoelectric hydrogeologic characteristics of parts of the central basement terrain of Nigeria, Niger State. Journal of African Earth Sciences, v. 16/3, p 309-317.
[12] Olorunniwo, M.A and Olorinfemi, M.O., (1987). Geophysical investigation for groundwater in Precambrian terrain. A case history from Ikare, Southwest Nigeria: Journal of African Earth Sciences, v. 6, p. 787-796.
[13] Onwuegbuche, A.A (1993). Geoelectrical investigation in the Imo River Basin Nigeria.UnpublishedPh.D thesis. Department of Physics, University of Calabar, pp. 2-62.
[14] Uma, K.O and Egboka, B.C.E., (1985). Water Resources of Owerri and its Environ. ImoState Nigerian Journal Mining Geology. 22:57-64.
[15] Uma, K.O (1986). Analysis of Transmissivity and hydraulic Conductivity of Sandy aquifers of the Imo River Basin. Unpl.Ph.D thesis, University of Nigeria, Nsukka.
[16] Vingoe, P. (1972). Electrical resistivity Survey, ABEM geophysics and electronics.Geophysical Memorandum.Vol.5(72), pp 1-15.
[17] Whiteman, A. (1989). Nigeria; its Petroleum Geology resource and Potentials, Graham and Trotman Publ., London SWIVIDE., Vol 2
Nwosu, Leonard. I., “Application of Electrical Resistivity Method in Mapping Sand and Gravel Beds along Njaba River Bank, South-Eastern Nigeria” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 2 February 2020, pp.07-20 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue2/07-20.pdf
For Full Text Click here
Evbuomwan B.O, Monday I. H February 2020 Page No.: 21-24
Comparative study on extraction of essential oils from Scent leaf (ocimumgratissimum) and Fluted Pumpkin leaf (telfairiaoccidentalis) using solvent extraction method have been investigated. The solvent used was ethanol. The yields for both leaves were 2.28% for Ocimumgratissimum and 2.14% for Telfairia Occidentalis respectively. The optimum temperature and time of extraction was 78oC and 180 minutes for both leaves. Ocimum Gratissimum gave a higher yield than Telfairia Occidentalis. Physical and chemical properties were assessed to evaluate quality characteristics of the oils. The results obtained for ocimumgratissimum and telfairiaoccidentalis are as follows: Saponification value, 154.3% and 112.2%, %FFA: 0.374% and 2.057%, Acid value: 0.187mg/g and 1.029mg/g, Peroxide value: 154.3% and 112.2%, Iodine value: 126g and 54.9g respectively. The result from the analysis of these essential oils have shown that they can be applied in vast industrial processes such as soap making due to their high saponification values.
- Page(s): 21-24
- Date of Publication: 17 February 2020
- Evbuomwan B.O
Department of Chemical Engineering, University of Port Harcourt, Port Harcourt, Nigeria - Monday I. H
Department of Chemical Engineering, University of Port Harcourt, Port Harcourt, Nigeria
References
[1] Younis, A., A. Riaz, M.A. Khan, A.A. Khan and M.A. Pervez, 2008. Extraction and identification of chemical constituents of the essential oil of Rosa species. Acta Hort., 766:
[2] Formaceck, V. and K.H. Kubeczka, 1982. Essential oil by capillary gas chromatography and Lawless of Aromatherapy,Herbalism, Health and Wellbeing, San Francisco: Conari press. carbon spectroscopy. John Wiley and Sons: Chichester, U.K., 51: 341-348
[3] Oussalah, M., S. Caillet, L. Saucier, M. Lacroix, 2006. Antimicrobial effects of selected plant essential oils on the growth of a Pseudomonas putida strain isolated from meat. Meat Sci., 73: 236-244.
[4] Mayaud, L., A. Carricajo, A. Zhiri, G. Aubert, 2008. Comparison of bacteriostatic and bactericidal activity of 13 essential oils against strains with varying sensitivity to antibiotics. Lett. Appl. Microbiol., 47: 167-173.
[5] Burt, S., 2004. Essential oils: their antibacterial properties and potential applications in foods—a review. Int. J. Food Microbiol, 94: 223-253
[6] Ozoz, K.B, (2015), “The Anatomy of Scent Leaf’ ,.Available (Online) at: http://www.kitchenbutterfly.com/2015/02/27/the-anatomy-of-scent-leaf/.[28,july, 2015]
[7] Ekhaise FO, Soroh A.E, Falodun A. (2010). ‘Antibacterial Properties andPreliminary Phytochemical Analysis of Methanolic Extract of OcimumGratissimum (Scent leaves), Journal of Pure and Applied Sciences, vol. 3,no 2
[8] Stevgny and BashierR.S.M.(2010). Physico-chemical analysis of Ximeniaamericana.L seed oil and structure elucidation of some chemical constituents of its seed oil and fruit pulp. J. Pharmacog. Phytotherapy. 2(4): 49-55.
[9] Shirsath and Dash N.C. (2011). Standardization of Tilataila (Sesamum oil)-An Ingredient used in the AyurvedicVaitaranaBasti. Int. J. Pharma World Res.2(1): 1-6.
[10] Margaris P.K. (2002).Quality Control of herbal Drugs, 1st ed., Business horizon publications: 186-190.
[11] Tisserand and Bladt S. (2007). Plant Drug Analysis, 2nd Ed., Springer publication, Verlag: 151-152.
[12] Wei, Z. and Y W Shiow, 2001 Antioxidant activity and phenol compounds in selected herbs. J. Agric. Food Chem., 49:5165-5170.
[13] Rao, B.R.R, P.N. Kaul, K.V. Syamasundar and S. Ramesh, 2005. Chemical profiles of primary and secondary essential oils of palmarosa (Cymbopogon martini (Roxb.) Wats var. motia Burk.). Industrial Crops and Products, 21: 121-127
[14] A.ElAsbhanni and Gupta S.K. (2000) Chemopreventive activity of Ocimum sanctum seed oil. J. Ethnopharmacol. 72: 29–34.
[15] Amoo 2004., Evaluation of antileishmanial, cytotoxic and antioxidant activities of essential oils extracted from plants issued from the leishmaniasis-endemic region of Sned (Tunisia). Natural Product Research, Vol.25, pp. 1195-1201
[16] Akubugwo 2008., The volatile constituents of Artemisia marschaliana Sprengel and its secretory elements. FlavourFragr. J., Vol.17, pp. 141-143.
Evbuomwan B.O, Monday I. H “Comparative Study on Extraction of Essential Oil from Scent Leaf (Ocimumgratissimum) and Fluted Pumpkin Leaf (Telfairiaoccidentalis)” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 2 February 2020, pp.21-24 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue2/21-24.pdf
For Full Text Click here
Ogwumu, O.D., Kyaga T.Y., Amakoromo G.I., Bawuru A. F., Ogofotha M. O., Ezeh A.T., Elugah J.I. and Ogbaji E.O. February 2020 Page No.: 25-30
In this study, the analysis of Differential Transform Method (DTM) for the solution Ordinary Differential Equation was explored. The solution to the Differential Equations addressed in this study were presented via Differential Transform Method for problems such as 1st, 2nd and 3rd order linear differential equations respectively. Similarly, comparisons between the exact solution to the problems and their DTM results were made in tabular form. The outcome of the comparison showed that our numerical results compete favourably with the exact solutions of the problems considered.
- Page(s): 25-30
- Date of Publication: 23 February 2020
- Ogwumu, O.D.
Department of Mathematics and Statistics, Federal University Wukari, Nigeria - Kyaga T.Y.
Department of Mathematics and Statistics, Federal University Wukari, Nigeria - Amakoromo G.I.
Department of Mathematics and Statistics, Federal University Wukari, Nigeria - Bawuru A. F.
Department of Mathematics and Statistics, Federal University Wukari, Nigeria - Ogofotha M. O.
Department of Mathematics and Statistics, Federal University Wukari, Nigeria - Ezeh A.T.
Department of Mathematics and Statistics, Federal University Wukari, Nigeria - Elugah J.I.
Department of Mathematics and Statistics, Federal University Wukari, Nigeria - Ogbaji E.O.
Department of Mathematics and Statistics, Federal University Wukari, Nigeria
References
[1] Akinboro, F.S. Alao, S. and Akinpelu, F.O. (2014). Numerical Solution of SIR Model using Differential Transformation Method and Variational Iteration Method, Gen. Math. Notes, 22( 2), 82-9.
[2] Biazar, J., Eslami, M. (2010), Dept. of maths.,faculty of sciences, University of Guilan, DTM for Quadratic Riccati Diff. Eqn,ISSN 1749-3889 (print), 1749-3897(online) Vol.9 (2010) No.4, pp 444-447.
[3] Butcher, J. C. (2008), Numerical methods for ordinary differential equations (2nd ed.), John Wiley & Sons Ltd., ISBN 978-0-470-72335-7 MR 2401398 .
[4] Derrick, N.R. and Grossman, S.L (1976). Differential Equation with applications. Addison Wesley Publishing Company,Inc.Phillipines.
[5] Dogan N. & Akin O. (2012), Series Solution of Epidemic Model, TWMS J. App. Eng. Math. Volume 2, issue2, page 238-244.
[6] Nashari Onkar Warade & Pallavi P. Chopade (2007) Dept. of Maths., Research scholar J.J .T. Uni.Churu Rajasthan, DTM for solving fourth ODE, Vol,5, Issue 3, ISSN 234-8169, page 40-43.
[7] Ogwumu, O.D.(2016), Differential Equation II, MTH323 Lecture Note (Unpublished) of the Department of Mathematics and Statistics, Federal University Wukari, Nigeria.
[8] Wang, X., Guo, Z. and Song, X. (2011). Dynamical behaviour of pest management model and impulsive effect and nonlinear incidence rate, Journal of Computational and Applied Mathematics, 30(2),381-398, retrievable from http://www.scielo.br/cam
Ogwumu, O.D., Kyaga T.Y., Amakoromo G.I., Bawuru A. F., Ogofotha M. O., Ezeh A.T., Elugah J.I. and Ogbaji E.O. “Differential Transform Method (DTM) for the Solution of Linear Ordinary Differential Equations of First Order, Second Order and Third Order” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 2 February 2020, pp.25-30 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue2/25-30.pdf
For Full Text Click here
Kenechukwu O. Ezebialu, Michael E. Ubituogwale, Eunice A. Odegua, Eric U. Eche, Anthony B. Sunebari February 2020 Page No.: 31-40
The field is prospective but largely underdeveloped as only four vertical wells have been drilled, leading to limited data and/or poor data quality. The aim of this study is to integrate cross-domain data to build a static reservoir model, estimate the in-place hydrocarbon volume and run an uncertainty analysis to validate the estimated volume. Available data include 3D seismic, well data and reservoir fluid properties. The integrated workflow includes petrophysical evaluation, seismic interpretation, facies definition, well correlation, static modelling, static volume estimation and uncertainty analysis. Three reservoirs, designated Reservoir 1, Reservoir 2 and Reservoir 3 were characterized in this project. Average porosity and permeability in the three reservoirs are approximately 30% and 100 millidarcy (mD) respectively. Reservoirs 1 and 3 are gas reservoirs while Reservoir 2 is an oil and gas reservoir. Static volume estimates in the three reservoirs are 1204 Billion Standard Cubic Feet (Bscf) and 308 Bscf of gas in Reservoirs 1 and 3 respectively, and 568 Million Stock Tank Barrel (MMstb) and 384 Bscf of oil and gas respectively in Reservoir 2. Uncertainty analysis was carried out using the Monte-Carlo sampling method in order to validate the estimated static volume in Reservoir 2. The results increased the level of confidence in the initial static volume estimates. Reservoir 2 was focused on due to the higher demand of oil.
- Page(s): 31-40
- Date of Publication: 23 February 2020
- Kenechukwu O. Ezebialu
Center of Excellence in Geosciences and Petroleum Engineering, University of Benin, Nigeria - Michael E. Ubituogwale
Center of Excellence in Geosciences and Petroleum Engineering, University of Benin, Nigeria - Eunice A. Odegua
Center of Excellence in Geosciences and Petroleum Engineering, University of Benin, Nigeria - Eric U. Eche
Centre for Petroleum Geosciences, University of Port Harcourt, Port Harcourt, Nigeria - Anthony B. Sunebari
Centre for Petroleum Geosciences, University of Port Harcourt, Port Harcourt, Nigeria
References
[1] Doust, H. and Omatsola, E.M. (1990). Niger Delta. In: J. D. Edwards and P.A. Santogrossi (eds.), Divergent/Passive Margin Basins. AAPG Memoir 48: 239-248.
[2] Knox, G.J. and Omatsola, E.M. (1989). Development of the Cenozoic Niger Delta in terms of the “Escalator Regression” Model and Impact on Hydrocarbon Distribution. Proceedings KNGMG Symposium “Coastal Lowlands, Geology and Geotechnology”, 1987: Dordrecht, Kluwer, p. 181-202.
[3] Stacher, P. (1995). Present Understanding of the Niger Delta Hydrocarbon Habitat. In: M.N. Oti and G. Postma (eds.), Geology of Deltas: Rotterdam, A.A. Balkema, p. 257-267.
[4] Doust, H. and Omatsola, E.M. (1989). Niger Delta. AAPG Memoir 48: 201–238.
[5] Whiteman, A. (1982). Nigeria: Its Petroleum Geology, Resources and Potential. Graham and Trotman, London, p. 381.
[6] Kulke, H. (1995). Nigeria. In: H. Kulke (ed.), Regional Petroleum Geology of the World, Part II: Africa, America, Australia and Antarctica. GebruderBorntraeger, Berlin, p. 143-172.
[7] Cross, T.A. and Homewood, P.W. (1997). AmanzGressly’s Role in Founding Modern Stratigraphy. Geological Society of America Bulletin, 109: 1617-1630.
[8] Ladipo, K.O. (2017). CoE Lecture Notes: Applied Stratigraphy and Sedimentology.
[9] Kakayor, G.O. (2013). CoE Lecture Notes: Reservoir Description and Characterization, p. 20.
[10] Schlumberger (2018). Structural Modelling: Training and Exercise Guide, Version 2017.
[11] Schlumberger (2017). Property Modelling: Training and Exercise Guide, Version 2017.
Kenechukwu O. Ezebialu, Michael E. Ubituogwale, Eunice A. Odegua, Eric U. Eche, Anthony B. Sunebari”3D Reservoir Modelling and Hydrocarbon Volume Estimation of “X” Field, Niger Delta, Nigeria” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 2 February 2020, pp.31-40 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue2/31-40.pdf
For Full Text Click here
George Adieboye Oforibika and Victoria Daminabo February 2020 Page No.: 41-45
This study evaluates the phytochemistry and toxicity of three different herbal bitters (G. Winco, 1960 roots and Confam) on the lungs of Wister albino rats. A total of forty (40) Wister albino rats were randomly divided into 4 groups labeled A, B, C and D and kept in a well ventilated room. Group A served as control and these rats were treated with distilled water. Rats in the groups B, C and D were treated with 3 different doses of the bitters (20, 30 and 40mL/Kgbw) respectively. The drugs were administered once daily for 10 and 21days consecutively. Animals were sacrificed 24 hours after the last treatment. Blood samples were collected into heparinized sample bottles for analysis. Phytochemistry done showed the presence of kaempferol, epicatehin, catechin and quinine amongst other components in varying amounts. Histopathological changes were found in all the bitters at the highest concentrations of 40ml/kg when used for both 10 days and 21 days. This shows that both short term and long term use of large quantities of herbal bitters affects the lungs negatively subsequently reducing gaseous exchange across the respiratory membrane
- Page(s): 41-45
- Date of Publication: 23 February 2020
- George Adieboye Oforibika
Department of Science Laboratory Technology, School of Science and Technology, Captain Elechi Amadi Polytechnic, Rumuola, P.M.B. 5936, Port Harcourt, Rivers State, Nigeria - Victoria Daminabo
Department of Science Laboratory Technology, School of Science and Technology, Captain Elechi Amadi Polytechnic, Rumuola, P.M.B. 5936, Port Harcourt, Rivers State, Nigeria
References
[1] Hussain, I, Ullah, R, Khurram, M, Ullah, N, Baseer, A, Khan, FA, Khattak, MR, Zahoor, M, Khan, J and Khan, N. (2011). Phytochemical analysis of selected medicinal plants. African Journal of Biotechnology, 10(38): 7487-7492.
[2] Jimmy EO. Udofia AJ. (2010). Yoyo bitters, a potent alternative herbal drug in the treatment of diabetes. International Journal of Innovative Medicine and Health Science, l2:1-5.
[3] Osamor PE, Owumi BE. Complementary and alternative medicine in the management of hypertension in an urban Nigerian community. BMC Complement Altern Med. 10(1): 36-44.
[4] Ould Yerou K., Ibri K., Bouhadi D., Hariri A., Meddah B., Tir Touil A. (2017). The use of orange (citrus sinensis) peel as antimicrobial and antioxidant agent. Journal of Fundamental and Applied Sciences, 9(3), 1351-1357.
[5] Vijay AS, Ranjitha J, Devi RV, Bhagiyalakshmi M. (2013). Pharmalogical profile of cassia occidentalis l- a review. International Journal of Pharmacy and Pharmaceutical Sciences, 5 (3): 29-33
[6] Aniagu S., Nwinyi CF, Akumka D.D., Ajoku AG, Dzarma S, Izebe KS, Ditse M, Nwaneri EC, Wambebe C, Gamaniel K. (2005). Toxicity studies in rats fed nature cure bitters. African Journal of Biotechnology, 4(1):72-78.
[7] Falodun A. (2010). Herbal medicine in Africa – distribution, standardization and prospects. Research Journal of Phytochemistry, 4: 156-161.
[8] Ogechi, N.E. andIbioku, E. (2018). Evaluation of the effect of action bitters (herbal mixtures) on some biochemical indices of albino rats. Asian Journal of Research in Biochemistry, 3(4) 1-8.
[9] Oforibika, A. G. and Uwakwe, A. A. (2020). Comparative effects of three antiretroviral drugs on liver enzymes (alanine aminotransferase, aspartate aminotransferase and alkaline phosphatase). European Journal of Pharmaceutical and Medical Research, 7(1): 53-57.
[10] Budak HN, Kumbul Doguc D, Savas CM, Seydim AC, K¨ok Tas T, Ciris IM, G¨uzel-Seydim ZB. (2011). Effects of apple cider vinegars produced with different techniques on blood lipids in high-cholesterol-fed rats. J Agric Food Chem. 59:6638–44.
[11] Lim S, Yoon JW, Choi SH, Choa BJ, Kim JT, Chang HS, Park HS, Park KS, Lee HK, Kim YB, Jang HJ. (2009). Effect of ginsam, a vinegar extract from Panax ginseng, on body weight and glucose homeostasis in an obese insulin-resistant rat model. Metabolism, 58:8–15.
[12] Chang J, Fang TJ. (2007). Survival of Escherichia coli O157:H7 and Salmonella enterica serovars typhimurium in iceberg lettuce and the antimicrobial effect of rice vinegar against E. coli O157:H7. Food Microbiol. 24:745–51.
[13] Iriti M, Faoro F. (2010). Bioactive chemicals and health benefits of grapevine products. In:Watson RR, Preedy VR, editors. Bioactive foods in promoting health: fruits and vegetables. New York: Elsevier Inc. p 581–20.
[14] Oforibika, A.G. And Ezekiel, T. (2017). Hepatotoxicity of Lamivudine on the liver. Biomedicine and Nursing, 3(2):49-52.
[15] Ogechi, N.E. andIbioku, E. (2018). Evaluation of the effect of action bitters (herbal mixtures) on some biochemical indices of albino rats. Asian Journal of Research in Biochemistry, 3(4) 1-8.
[16] Oforibika, A. G. and Uwakwe, A. A. (2020). Comparative effects of three antiretroviral drugs on liver enzymes (alanine aminotransferase, aspartate aminotransferase and alkaline phosphatase). European Journal of Pharmaceutical and Medical Research, 7(1): 53-57.
George Adieboye Oforibika and Victoria Daminabo “Phytochemistry and Toxicity of three different Herbal Bitters (G. Winco, 1960 roots and Confam) on the Lungs of Wister Albino Rats” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 2 February 2020, pp.41-45 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue2/41-45.pdf
For Full Text Click here
Onengiyeofori A. Davies, Opiriyabo I. Horsfall, Prince S. Nwiyor February 2020 Page No.: 46-53
A typical seal rock in a Niger Delta reservoir was studied to describe its seal integrity. The brittleness index of the seal interval was estimated by first describing some elastic properties of the seal interval, Young’s modulus and Poisson’s ratio to be specific. These measures were estimated by measuring the p- and s-wave velocity from well logs obtained from a field in the Niger Delta. Comparing these velocities with depth showed a general trend of increasing velocity with depth. A mean brittleness index of 0.20 was estimated for the seal interval of one of the wells. This is indicative of a high seal integrity, as seal rocks with brittleness index less than 0.60 are considered to have good seal integrity.
- Page(s): 46-53
- Date of Publication: 23 February 2020
- Evbuomwan B.O
Department of Chemical Engineering, University of Port Harcourt, Port Harcourt, Nigeria - Boyle S .K
Department of Chemical Engineering, University of Port Harcourt, Port Harcourt, Nigeria
References
[1] Tuttle, M.L., R.R. Charpentier, and M.E. Brownfield, The Niger Delta Petroleum System: Niger Delta Province, Nigeria, Cameroon, and Equatorial Guinea, Africa. 1999: US Department of the Interior, US Geological Survey.
[2] Haack, R.C., P. Sundararaman, J.O. Diedjomahor, H. Xiao, N.J. Gant, E.D. May, and K. Kelsch, Niger Delta Petroleum Systems, Nigeria, in M.R. Mello and B.J. Katz, eds. AAPG Memoir, 2000. 73: p. 213-231.
[3] Sorkhabi, R. and Y. Tsuji, The place of faults in petroleum traps. AAPG Memoir, 2005. 85: p. 1-31.
[4] Opara, A.I., Prospectivity evaluation of “Usso” field, Onshore Niger Delta Basin, using 3-D seismic and well log data. Petroleum Coal, 2010. 52(4): p. 307-315.
[5] Kaldi, J. and C. Gibson-Poole, Storage Capacity Estimation, Site Selection and Characterisation for CO2 Storage Projects. CO2CRC Report No. RPT08-1001, Cooperative Research Centre for Greenhouse Gas Technologies (CO2CRC), Canberra, Australia (March 2008). 2008.
[6] Sibson, R.H., Structural permeability of fluiddriven fault-fracture meshes. Journal of Structural Geology, 1996. 18(1): p. 31-42.
[7] Kivior, T., J. Kaldi, and S. Lang, Seal potential in cretaceous and late Jurassic rocks of the vulcan sub-basin, North West Shelf Australia. The APPEA Journal, 2002. 42(1): p. 203-224.
[8] Lou, N., T. Zhao, and Y. Zhang, Calculation method about brittleness index in Qijia Oil field tight sandstone reservoir Daqing China. IOSR Journal of Engineering, 2016. 6: p. 14-19.
[9] Ingram, G.M. and J. Urai, Top-seal leakage through faults and fractures: the role of mudrock properties. Geological Society, London, Special Publications, 1999. 158(1): p. 125-135.
[10] Fatoke, O.A. and J.P. Bhattacharya, Controls on depositional systems and sequence stratigraphy of the Pliocene-Pleistocene strata of eastern Niger delta, Nigeria. Search Discovery Article, 2010. 10220.
[11] Short, K. and A. Stauble, Outline of geology of Niger Delta. AAPG bulletin, 1967. 51(5): p. 761-779.
[12] Doust, H. and E. Omatsola, Niger delta. American Association of Petroleum Geologists Memoir, 1989. 48: p. 201-238.
[13] Kulke, H. and H. Zantop, Regional Petroleum Geology of the World. Part I: Europe and Asia. Part II: Africa, America, Australia and Antarctica. Economic Geology the Bulletin of the Society of Economic Geologists, 1995. 90(5): p. 1354.
[14] Ameloko, A.A. and A.O. Omali, Reservoir Characterization and Structural Interpretation of Seismic Profile: A Case Study of Z-Field, Niger Delta, Nigeria. Journal of Petroleum coal, 2013. 55(1): p. 37-43.
[15] Waters, G., R. Lewis, and D. Bentley. The effect ofmechanical properties anisotropy in the generation of hydraulic fractures in organic shales SPE 146776. in SPE Annual Technical Conference and Exhibition held in Denver, Colorado, USA. 2011.
[16] Archer, S. and V. Rasouli, A log based analysis to estimate mechanical properties and in-situ stresses in a shale gas well in North Perth Basin. Journal of Transactions on Engineering Sciences, 2012. 81: p. 163-174.
[17] Eyinla, D.S. and M.A. Oladunjoye, Estimating geo-mechanical strength of reservoir rocks from well logs for safety limits in sand-free production. Journal of Environmental Earth Science, 2014. 4(20): p. 38-43.
[18] Jamshidian, M., M. Mansouri Zadeh, M. Hadian, S. Nekoeian, and M.J.G.E. Mansouri Zadeh, Estimation of minimum horizontal stress, geomechanical modeling and hybrid neural network based on conventional well logging data–a case study. Journal of Geosystem Engineering, 2017. 20(2): p. 88-103.
[19] Asquith, G.B., D. Krygowski, and C.R. Gibson, Basic well log analysis. Vol. 16. 2004: American association of petroleum geologists Tulsa, OK.
[20] Rider, M.H., The geological interpretation of well logs. 1986.
[21] Schon, J., Basic Well Logging and Formation Evaluation-eBooks and textbooks from bookboon. com. 2015, bookboon. com.
[22] Greenberg, M. and J.J.G.p. Castagna, Shear-wave velocity estimation in porous rocks: Theoretical formulation, preliminary verification and applications 1. Journal of Geophysical Prospecting, 1992. 40(2): p. 195-209.
[23] Burshtein, L.S., Determination of poisson’s ratio for rocks by static and dynamic methods. Journal of Mining Science, 1968. 4(3): p. 235-238.
[24] Fjar, E., R.M. Holt, A. Raaen, R. Risnes, and P. Horsrud, Petroleum related rock mechanics. Vol. 53. 2008: Elsevier.
[25] Davies, D.H., O.A. Davies, and O.I. Horsfall, Determination of Geomechanical Properties of a typical Niger Delta Reservoir Rock Using Geophysical Well Logs. Asian Journal of Applied science Technology, 2019. 3(1): p. 222-233.
[26] Behn, M.D. and P.B. Kelemen, Relationship between seismic P‐wave velocity and the composition of anhydrous igneous and meta‐igneous rocks. Geochemistry, Geophysics, Geosystems, 2003. 4(5).
[27] 27. Mathia, E., K. Ratcliffe, and M. Wright. Brittleness Index-A Parameter to Embrace or Avoid? in Unconventional Resources Technology Conference, San Antonio, Texas, 1-3 August 2016. 2016. Society of Exploration Geophysicists, American Association of Petroleum
Onengiyeofori A. Davies, Opiriyabo I. Horsfall, Prince S. Nwiyor “Evaluation of the Seal Integrity for a Hydrocarbon Reservoir: The Niger Delta as Case Study” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 2 February 2020, pp.46-53 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue2/46-53.pdf
For Full Text Click here
Nwagor, Peters, Lawson-Jack, Ngoye Ibifubara February 2020 Page No.: 54-61
This study investigated a stability analysis of the numerical approximation of a differential equation model of HIV-infection of CD4+ T-cells which is susceptible to infection, that is target cells T, which through interactions with virus V, become infected. Analytical solution of the model was considered, the steady state solution of the model was investigated and the linear stability analysis of the model was obtained. The numerical solution shows that upon the variation of the rate of production of CD4+Tcells, a mixture of stable and unstable steady state-solutions was found. And by varying the death rate of virus particlesγ, we found a combination of stable and unstable steady state-solutions which became a predominant unstable when the per capita rate of disappearance of infected cells was varied.
- Page(s): 54-61
- Date of Publication: 26 February 2020
- Nwagor, Peters
Department of Mathematics/Statistics, Ignatius Ajuru University of Education, Port Harcourt, Nigeria - Lawson-Jack, Ngoye Ibifubara
Department of Mathematics/Statistics, Ignatius Ajuru University of Education, Port Harcourt, Nigeria
References
[1] Arafa, A.A.M., Rida, S.Z. and Khalil, M. (2013).The Effect of Anti-Viral Drug Treatment of Human Immunodeficiency Virus Type I (HIV-1) described by a Fractional Order Model. Applied Mathematical Modelling (37) 2189 – 2196 Elsevier.
[2] Arts, E.J. & Hazuda, D.J. (2012). HIV-1 Antiretroviral Drug Therapy. Cold Spring Harbor Perspectives in Medicine, 2(4), p. a007161.
[3] Asquith B. and Bangham, C.R.M. (2003). The Dynamics of T-Cell Fractricide: Application of Robust Approach to Mathematical Modelling in Immunology. J. Theoretical Bio 222, 53 – 69.
[4] Barker, G.A. (1975).Essentials of Pade Approximants. Academic Press, London Klebano.
[5] Beltrami, E. (1987). Mathematics for Dynamic Modeling 1987. Academy Press Inco.
[6] Bernard, A., Boumsell, L., Hill, C. (1984). “Joint Report of the First International Workshop on Human Leucocyte Differentiation Antigens by the Investigators of the participating Laboratories”. In Bernard, A., Boumsell, L., Dausset, J., Milstein, C., Schlossman, S.F. Leucocyte typing: human leucocyte differentiation antigens detected by monoclonal antibodies: specification, classification, nomenclature. Berlin: Springer. pp. 45 – 48. doi:10.1007/978-3-642-68857-7_3. ISBN 0-387-12056-4. Report on the first international references workshop sponsored by INSERM, WHO and IUIS.
[7] Bolarin, G. (2012). A Mathematical Model of Complacency in HIV/AIDS Scenario: Sex-structured Approach. Leanardo Journal of Science Issue 21, p 1 – 12.
[8] Bolarin, G. and Omatola, I.U. (2016). A Mathematical Analysis of HIV/TP Co-infection Model. Applied Mathematics 6(4), 65 – 72. DOI: 10.5923/j.am20160604.01.
[9] Ding, Y. and Ye, H. (2009). A Fractional Order Differential Equation Model of HIV Infection of CD4+ T-cell.Mathematical and Computer Modelling 50. 386 – 392. Elsevier.
[10] Gokdogan, A., Yildirim, A. and Merdan, M. (2011).Solving a Fraction Order Model of HIV Infection of CD4+ T-cell. Mathematical and Computer Modelling 54, 2132 – 2138 Elsevier.
[11] http://wjrider.woedpress.com/2016/05/20/the-lax-equivalence-theorem-its-importance-and-limitations/.
[12] Merdan, M., Gokdogan, A. and Yildirim (2011). On the Numerical Solution of the Model for HIV Infection of CD4+ T-cell.
[13] Srivastava, V.K., Awasthi, M.K. and Kumar, S. (2014). Numerical Approximation for HIV infection of CD4+ T-cell.Mathematical Model.Ain Shams Engineering Journal. (5) 625 – 629 Elsevier.
[14] Viceet, K.S., Mukesh, K.A., Suniiil K. (2013). Numerical Approximation for HIV infection of CD4+ T cells Mathematical Model. Ain Shams Engineering Journal
Nwagor, Peters, Lawson-Jack, Ngoye Ibifubara “Stability Analysis of the Numerical Approximation for HIV-Infection of Cd4+ T-Cells Mathematical Model” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 2 February 2020, pp.54-61 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue2/54-61.pdf
For Full Text Click here
Naabura, M. K., Emejuru, S.A. February 2020 Page No.: 62-64
There is a lot of public health concern about food contaminated with heavy metals. Most of human exposure to harmful heavy metals is via intake of contaminated food.In this research work, the NPK-treated (fertilizers added) and untreated (no fertilizers added) sugarcane samples were collected from major farms in Papalanto, Ogun State, Nigeria. The result clearly shows that both samples contain some heavy metals such as lead, copper and cobalt. The levels of lead and copper were higher in the NPK-treated sugar cane while cobalt level was higher in the untreated sugar cane.
- Page(s): 62-64
- Date of Publication: 05 March 2020
- Afolayan Olubisola Arike
Department of Science Laboratory Technology, Federal Polytechnic Ilaro, P.M.B 50, Ilaro, Ogun State, Nigeria - Olanrewaju Mary Anuoluwapo
Department of Science Laboratory Technology, Federal Polytechnic Ilaro, P.M.B 50, Ilaro, Ogun State, Nigeria - Kayode Omowumi Titilola
Department of Biochemistry, Landmark University, P.M.B 1001, Omu Aran, Kwara State, Nigeria - Kayode Azeez Abideen Abolanle
Phytomedicine Research, Drug Discovery and Development Laboratory, Department of Biochemistry, Benjamin S. Carson (Snr) School of Medicine, Babcock University, Ilishan-Remo, Ogun State Nigeria
References
[1] Abdus-salam, N., Adekola, F. A., & Bolorunduro, O. J. (2008). Environmental Assessment of the Impact of Feed Water on the Quality of Sugarcane Juice. International Jour. Chem. 18(3), 129-135
[2] Collin, B., & Doelsch, E. (2010). Impact of high natural soilborne heavy metal concentrations on the mobility and phytoavailability of these elements for sugarcane. Geoderma 159, 452-458
[3] Gebrekidan, A., Weldegebriel, Y., Hadera, A., &Bruggen, B. (2013). Toxicological assessment of heavy metals accumulated in vegetables and fruits grown in Ginfel river near Sheba Tannery, Tigray, Northern Ethiopia. Ecotoxicology and Environmental Safety 95, 171-178.
[4] Marguí, E., Tapias, J. C., Casas, A., Hidalgo, M., &Queralt, I. (2010). Analysis of inlet and outlet industrial wastewater effluents by means of benchtop total reflection X-ray fluorescence spectrometry. Chemosphere 80, 263-270. 72
[5] Nogueira, T. A., Franco, A., He, Z., Santoro, B. V., Firme, L. P., & Abreu-Junior, C. H. (2013). Short-term usage of sewage sludge as organic fertilizer to sugarcane in a tropical soil bears little threat of heavy metal contamination. Journal of Environmental Management 114, 168-177.
[6] Zhang, X., Zhu, Y., Zhang, Y., Liu, Y., Liu, S., Guo, J., et al. (2014). Growth and metal uptake of energy sugarcane (Saccharum spp.) in different metal mine tailings with soil amendments. Journal of Environmental Sciences 26, 1080-1089
Naabura, M. K., Emejuru, S.A. “Assessment of Heavy Metals in NPK-Treated and Untreated Sugarcane Juice Cultivated in Papalanto, Ogun State, Nigeria” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 2 February 2020, pp.62-64 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue2/62-64.pdf
For Full Text Click here
Naabura, M. K., Emejuru, S.A. February 2020 Page No.: 65-69
This paper addressed the implications of industrial activities on hand and residential property values in Port Harcourt, Rivers State, Nigeria. The aim is to ascertain the level at which industrial operations has negatively affected the usage and viability of residential properties in the area including the environment. The methodology adopted by the researchers since it is survey and descriptive research, utilized both primary and secondary method of data collection. Questionnaires were distributed to three classes of respondents in the field which involved property owners, tenants and some company staff that reside in the area, as the target population for the study, covering trans-Amadi and four communities with close proximity – Oginigba, Elekahia, Abuloma and Ogbumnabali because they are mainly residential in nature. The study made use of the tabular form, and the chi square for the analysis and test of hypothesis in the work. they study found out actually that industrial activities and effectual the land and residential properties, as tenement rental values per annum areas close to industrial layout were between N4000 – N6000 while the rate for properties far from industrial area were between N6000 – N5000. The presence of industries in the state has attracted so many people to settle in Rivers State. It has given employment to more numbers of people. But most importantly, industrial activities has turned productive lands unproductive through land degradation, environmental pollution, forest fires, more solid and liquid wastes are generated, causing unannounced sicknesses, reducing the viability of all classes of properties and above all, causing death to human beings and biodiversity loss. It is recommended that all should imbibe the habit of preserving the only earth we have.
- Page(s): 65-69
- Date of Publication: 05 March 2020
- Naabura, M. K.
Department of Estate Management, Ken Saro-Wiwa Polytechnic, Bori, Nigeria - Emejuru, S.A.
School of Environmental Science, Captain Elechi Amadi Polytechnic, Port Harcourt, Nigeria
References
[1] Smriti, S. (2008).Environment and Ecology. New Delhi: S.K. Kataria & Sons.
[2] Adeyemo, A.M. (2002). Urban environmental pollution. In Samuel, B.A. and Ademola, M.A. (eds) Perspectives on Urban Development Planning and Management. Lagos: Amethyst and Colleagues Publishers.
[3] Aina, G.R.E., Sridha, M.K.C. and Olawuji, J.F. (2005). Air pollution in a chemical fertilizer complex in Nigeria: The Impact on the health of workers. Journal of Environmental Health Research 4(2), 57 – 62.
[4] Udechukwu, C.E. (2006). Introduction to estate management. Lagos: Treem Publishing Nigeria Ltd.
[5] Teme, S.C. and Gobo, A.E. (2005). Urban Flood hazards: Issues, monitoring process and guidelines. African Journal of Environment, Pollution and Health, 4(2), 72 – 81.
[6] Onuoha, N.I. (2001). The environmental consequences of Nigeria’s oil, gas, petrochemical and allied industries. In Ogbonnaya, C.I. & Onyike, N.B. (eds) Modern text in history and philosophy of Science. Okigwe: Crystal Publishers.
[7] Naabura, M.K. and Alozie, M.C. (2017). Implications of flooding on property values in a residential neigbourhoods of Elelenwo in Obio-Akpor L.G.A. Journal of the Environment, Abia State University. Uturu. 4(2), 51 – 61.
[8] Olametan, A. (2012). The effect of sitting residential building in an industrial layout. Unpublished project, Estate management department, Rivers State University of Science and Technology, Nigeria.
[9] Adebayor, M.A. (2011). Neighbourhood effect of sustainable land use on property values. Journal of Sustainable development, 4(6), 12 – 22.
[10] Afolayan, A.S. (2006). Environmental externality and housing values.Journal of land use and development studies. 2(6)79-90.
[11] Adetola, F. (2009). Lecture notes on land and water pollution. National Open University of Nigeria.
[12] Rilwani, M. L. and Emejuru, S. A. (2014). Effect of changing landuse/landcoer pattern on traditional farming system in the upper Niger Delta Region of Rivers State, Nigeria. Journal of Earth Science and Environment, 4 (11): 82-89.
[13] Solomon, L., C. J. Ogugbue and C. Mbakwem-Aniebo (2018). Exploring the potentials of nipa palm (Nypa fruticans) ash and rabbit droppings for enhanced ex situ bioremediation of crude oilcontaminated soil. Asian Journal of Biotechnology and Bioresource Technology,3(2): 1-17.
[14] Solomon, L., V. Daminabo and C. A. Uzor (2016). A Synoptic Review on Ecological Toxicology and Environmental Sustainability.Researcher, 8(12):6-10.
[15] Solomon, L., O. George-West and I. K. Alalibo (2017). Environmental pollution in the Niger Delta and consequential challenges to sustainable development of the region: the role of an individual. Researcher, 9 (8):10-15.
[16] Oforibika, G. A., T. Ezekiel and L. Solomon (2018). Waste to wealth as a tool for environmental sustainability in crude oil impacted soil. Advances in Recycling and Waste Management, 3 (2): 161
Naabura, M. K., Emejuru, S.A. “Implications of Industrial Activities on Land and Residential Property Values in Port Harcourt, Rivers State, Nigeria ” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 2 February 2020, pp.65-69 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue2/65-69.pdf
For Full Text Click here
Luka Y.B., Emmanuel B, Hadiza Z.W., Alhaji M., Lawan Z.B., Jibrin M.M February 2020 Page No.: 70-74
This study aimed at studying the body weight (BW) and some morphometric traits at birth, 7, 14, 21, 28 and 35 days of a general rat. Sex effect and the various phenotypic correlations between the traits were evaluated. Traits studied were Body Weight (BW), Head Length (HL), Tail Length (TL), Body Length (BL) and Heart Girth (HG). The coefficient of variation for traits studied were generally high to moderate at various age groups but relatively low at 35 days. The coefficient of variation for traits studied was high for body weight at 7, 14, and 21 days and moderate for head length and tail length at various age groups, but relatively low for heart girth. Traits significantly (p < 0.05) affected by sex were body weight, tail length, body length and heart girth at birth, and head length at 28 days. Phenotypic correlation between BW and all the other traits studied were highly significant (p < 0.001), correlation being higher in younger groups than in older group. Correlation between HL and HG, BL and HG and also between BW and TL at 7, 21 and 35 days respectively were significant at p < 0.01. Also the phenotypic correlation of heart girth (HG) with tail length (TL) and body length (BL) at 21 and 28 days respectively, and also between body weight (BW) and tail length (TL) at 35 days were significant at p < 0.05. This study reveals that morphometric traits can be use as aids to selection in laboratory albino rat’s genetic improvement and also live body weight prediction.
- Page(s): 70-74
- Date of Publication: 07 March 2020
- Luka Y.B.
Department of Biology Education, Umar Suleiman College of Education Gashua, Nigeria - Emmanuel B
Department of General Studies Umar Suleiman College of Education Gashua - Hadiza Z.W.
Department of Biology Education, Umar Suleiman College of Education Gashua, Nigeria - Alhaji M.
Department of Biology Education, Umar Suleiman College of Education Gashua, Nigeria - Lawan Z.B.
Department of Chemistry Umar Suleiman College of Education Gashua - Jibrin M.M
Department of Biology Education, Umar Suleiman College of Education Gashua, Nigeria
References
[1] Baker, H. J., Lindsey, J. R. and Weisbroth, S. H. (1980). (eds.). The laboratory rat.Vol. II, Research Applications.Academic Press, New York.
[2] Granjon, L., Cheylan, G. (1990). Diff.renciationbiom.trique des rats noirs (Rattusrattus) des .lesouest-m.diterran.ennes. Mammalia54: 213-231.
[3] Hassan, H. E., Elamin, K. M., Yousif, A., Musa, A. M. and Elkhairey, M. A. (2012).Evaluation of Body Weight and some Morphometric Traits at Various Ages in Local Rabbits of Sudan.Journal of Animal Science Advances2 (4):407-415.
[4] Ibe, S. N., Ezekwe, A. G., (1994). Quantifying Size and Shape Difference between Muturu and N dama Breed of Cattle.NigerianJournal of Animal Production, 21: 51-58.
[5] Jacint, V. and Maria, J. L (2000).Morphometric Analysis of the Black Rat Rattusrattus, from Congrso Island, Orsis15:91-107.
[6] Olutogun, O., Abdullah, A. R., Raji A. O., Adetoro, P. A, and Adeyemi, A. (2003).Body Conformation Characteristics of White Fulani and Gudali (Zebu) Cattle Breeds of Nigeria.Proceeding of 28th Annual conference, Nigeria Society of Animal Production, Ibadan, Nigeria, 16th-30th March, 129-132.
[7] Orheuata, A. M. (1991). Body Measurements as an Instrument of Beef Cattle Improvement in Nigeria for the 90’s and beyond.AbrakaJournal of Agricultural Sciences.1(1):8-14.
[8] Zamorano, E. (1985). Estudiotaxon.mico-sistem.tico de Rattusrattusen el Surde la Pen.nsulaIb.rica.Tesis de licenciatura. Universidad de M.laga. pp 231
Luka Y.B., Emmanuel B, Hadiza Z.W., Alhaji M., Lawan Z.B., Jibrin M.M “Analysis of Weight and Morphometric Characteristics of a General Rat ” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 2 February 2020, pp.70-74 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue2/70-74.pdf
For Full Text Click here
Ogunsuyi, H.O and Adejumobi, I.B February 2020 Page No.: 75-78
This research aims at pyrolyzing groundnut biomass (shells and peels) for the production of bio oil. About 750 g of groundnutpeels and shells were subjected to slow pyrolysis at 450 oC in a fixed bed reactor. Gas Chromatography-Mass Spectrometry (GC-MS) was used to characterize both the bio oil and bio char obtained from the peels and shells. The peel was found to contain 16.3% and34.1 %, of bio oil and bio char respectively while the shell contained 11.7% and 44.5% of bio oil and bio char as well respectively. The GC-MS results of the derived bio oil from both fractions of the biomass revealed the presence of phenol, 2-methoxybenzene, alkanes, naphthalene-1, 6-dimethylhexadecanoic methyl esters, acetamide and methyl stearate which were being reported as the major components of wood preservatives. This study showed the potential ofthe biomass as viable feedstock for sustainable production of bio-based chemicals, in view of its availability.
- Page(s): 75-78
- Date of Publication: 07 March 2020
- Ogunsuyi, H.O
Department of Chemistry, School of Sciences, Federal University of Technology, P.M.B.704. Akure, Nigeria - Adejumobi, I.B
Department of Chemistry, School of Sciences, Federal University of Technology, P.M.B.704. Akure, Nigeria
References
[1] Ozoegwu, C.G., Ezeb, C., Onwosi, C.O., Mgbemene, C.A. andOzor, P.A. (2017) ‘Biomass and bioenergy potential of cassava waste in Nigeria: estimations based partly on rural-level garriprocessing case studies’, Renewable and Sustainable Energy Reviews, Vol. 72, pp.625–638.
[2] Giwa, A., Alabi, A., Yusuf, A. and Olukan, T. (2017) ‘A comprehensive review on biomass and solar energy for sustainable energy generation in Nigeria’, Renewable and Sustainable Energy Reviews, Vol. 69, pp.620–641
[3] Ansari, M., Prakash, N., and Punitha, L. (2015).Post Harvested And Value Addition of Groundnut. ICAR Research Complex for NEH Region.Manipur Centre, Lamphelpat,Imphal-795004
[4] Food and Agriculture organization of the united nation for a World without hunger (FAOSTA) for biomass pellet characterisation for bioenergy applications. Materials 2018, 11, p 1329
[5] Zheng, W., Phoungthong, K., Lü, F., Shao, L.M., and He, P.J.(2013). Evaluation of a classification method for biodegradable solid wastes using anaerobic degradation parameters.WasteManag. 33 (12), 2632–2640 issue9: p 34.
[6] Ansari, M., Prakash, N., and Punitha, L.(2015).Post Harvested And Value Addition of Groundnut.ICAR Research Complex for NEH Region.Manipur Centre, Lamphelpat,Imphal-795004
[7] Miguel-Angel, P., Francisco, M.A.,Quetzalcoatl, H.E., and Alberto-Jesus, P.M(2018).Peanut Shell for Energy: Properties and Its Potentialto Respect the Environment.Sustainability. 10, p 3254.
[8] Chowdhury, R., and Sarkar, A.(2012) Reaction kinetics and product distribution of slow pyrolysis of Indian textile wastes. Int J ChemReactEng.p 10.
[9] Biswal, B., Kumar, S., and Singh, R.K. (2013). Production of Hydrocarbon Liquid by Thermal Pyrolysis of Paper Cup Waste.J Waste Manag.pp 1–7.
[10] Abnisa F., Wan Daud, W.M.A., and Sahu, J.N. (2011). Optimization and characterization studies on bio-oil production from palm shell by pyrolysis using response surface methodology. Biomass and bioenergy 35, pp 3604-3616
[11] Statistical data on crops, groundnut, area, production quantity of Tanzania,Africa and World. http://faostat.fao.org.
[12] Mohammad, I. J., Mohammad, G. R., Ashfaque, A. C., and Nanjappa A. (2012) Biofuels Production through Biomass Pyrolysis—A Technological Review, Energies. 5, pp 4952-5001; doi: 10. 3390/en5124952and bioenergy 35, pp 3604-3616
[13] Annika, D. G., Tejas, S., Vineetha, N., and Pratima, P. (2017). Extraction of Cellulose and Biofuel Production from Groundnut Shells and Its Application to Increase Crop Yield.World Journal of Pharmacy and Pharmaceutical Sciences .Vol. 6, Issue 6, pp 1820-1831.
[14] Thomasson,G.,Capizzi, J., Dost, F.,Morrell,J., and Miller, D.(2015). Wood Preservation and Wood Products Treatment.EM 8403.Training Manual.,Oregun State University ExtentionService.pp 1-24
[15] Radharishnan, N., and Gnanamoorthi, V.(2015). Pyrolysis of Groundnut Shell Biomass to Produce Bio oil.Journal of Chemical and Pharmaceutical Sciences.JCHPS special
Ogunsuyi, H.O and Adejumobi, I.B “Pyrolysis of Groundnut Peels and Shells for Bio-Based Products (Bio- Oil and Bio-Char)” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 2 February 2020, pp.75-78 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue2/75-78.pdf
For Full Text Click here
Iloma, Unwobuesor Richard; Ezi Beauty; Ene David Ukela, Wiri Thankgod Bariyaa February 2020 Page No.: 86-89
The study seeks to examine the Bacteriological and physiochemical properties of Sambrero River in Ahoada East Local Government Area of Rivers State. Three (3) points were sampled from different locations designated as location (L1) location (L2) and location (L3) respectively, samples were collected in 0.1m of Sterile containers and were transported to the laboratory for immediate analysis. Ten (10) physiochemical, three (3) heavy metal sand three microbiological parameters were observed. Data was analyzed using standard methods (ALPHA, 1998) 20th edition and Ms-Excel version 2013 software. The result showed little variation in physiochemical parameters which are in line with World Health Organization (WHO) standard of potable water but shows much variation in microbiological parameters which are not in line with WHO standard, thereby making the water not wholesome and not potable for consumption except after proper treatment of the water. The work therefore recommends that members of Ekpena Community should ensure basic water treatment such as boiling and chlorination before consumption.
- Page(s): 86-89
- Date of Publication: 08 March 2020
- Iloma, Unwobuesor Richard
Department of Environmental Health Technology, Rivers State College of Health science and Management Technology port Port Harcourt, Nigeria - Ezi Beauty
Department of Environmental Health Technology, Rivers State College of Health science and Management Technology port Port Harcourt, Nigeria - Ene David Ukela
Department of Environmental Health Technology, Rivers State College of Health science and Management Technology port Port Harcourt, Nigeria - Wiri Thankgod Bariyaa
Department of Environmental Health Technology, Rivers State College of Health science and Management Technology port Port Harcourt, Nigeria
References
[1] Adekunle S. A. and Oluwada (2004), African journal of microbiology research. 7(8) 5-86.
[2] Jamie B. and Richard (1996) bacteriological Analysis of borehole water.
[3] World Health Organisation (2000) Global water supply and sanitation assessment report.
[4] World Health Organization (W.H.O.) (1998) Guideline for drinking water quality. Health criteria and other supporting information (2ndedn) Geneva, 2: 231 -270
Iloma, Unwobuesor Richard; Ezi Beauty; Ene David Ukela, Wiri Thankgod Bariyaa “Determination of Bacteriological and Physiochemical Properties of Som-Breiro River in Ahoada East Local Government Area of Rivers State Nigeria” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 2 February 2020, pp.86-89 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue2/86-89.pdf
For Full Text Click here
Sertaç TUHTA, Furkan GÜNDAY February 2020 Page No.: 90-95
Today, civil engineering structures suffer from dynamic effects. Earth on structures have been severely damaged by the earthquake. Thus, there has been loss of life and property. This has particularly affected countries located on active fault lines. Pre- and post-earthquake measures have been developed in world. For these reasons, it is necessary to determine the dynamic performance of structures around the world. There are various methods for determine the dynamic performance. System identification is one of these methods. Mathematical model of the structural system is obtained by system identification method. Artificial Neural Networks (ANN) is a system identification method. Artificial Neural Networks (ANN) can adapt to their environment, adapt, work with incomplete information, make decisions under uncertainties and tolerate errors. Aluminum benchmark bridge sample was used in this study. The system identification of the aluminum benchmark bridge with the ANN method of 0.87 was made successfully. As a result of this study, The ANN approach can provide a very useful and accurate tool to solve problem in modal identification studies.
- Page(s): 90-95
- Date of Publication: 11 March 2020
- Sertaç TUHTA
Department of Civil Engineering, Ondokuz Mayis University, Turkey - Furkan GÜNDAY
Department of Civil Engineering, Ondokuz Mayis University, Turkey
References
[1] Marquardt, D. W. (1963). An algorithm for least-squares estimation of nonlinear parameters. Journal of the society for Industrial and Applied Mathematics, 11(2), 431-441.
[2] Hagan, M. T., Demuth, H. B., & Beale, M. H. (1996). Neural network design, PWS Pub. Co., Boston, 3632.
[3] Hagan, M. T., &Menhaj, M. B. (1994). Training feed forward networks with the Marquardt algorithm. IEEE transactions on Neural Networks, 5(6), 989-993.
[4] MATLAB. (2010). version 7.10.0 (R2010a). Natick, Massachusetts: The MathWorks Inc.
[5] Tuhta.S., Gunday F., Aydin H., Dynamic Analysis of Model Steel Structures Retrofitted with GFRP Composites under Microtremor Vibration International Journal of Trend in Scientific Research and Development (IJTSRD)Volume: 3 | Issue: 2 | Jan-Feb 2019.
[6] Tuhta.S., Abrar O., Gunday F., Experimental Study on Behavior of Bench-Scale Steel Structure Retrofitted with CFRP Composites under Ambient Vibration, European Journal of Engineering Research and Science, 2019.
[7] J. Kim, System Identification of Civil Engineering Structures through Wireless Structural Monitoring and Subspace System Identification Methods, PhD thesis, University of Michigan, 2011.
[8] G.F. Sirca Jr., H. Adeli, System identification in structural engineering, Scientia Iranica A (2012) 19 (6), 1355–1364.
[9] Tuhta, S., &Günday, F. (2019). Multi Input Multi Output System Identification of Concrete Pavement Using N4SID. International Journal of Interdisciplinary Innovative Research Development, 4(1).
[10] Tuhta, S., Alameri, I., &Günday, F. (2019). Numerical Algorithms N4SID for System Identification of Buildings. International Journal of Advanced Research in Engineering Technology Science, 1(6).
[11] Tuhta, S., Günday, F., Aydin, H., &Alalou, M. (2019). MIMO System Identification of MachineFoundation Using N4SID. International Journal of Interdisciplinary Innovative Research Development
[12] Tuhta, S., &Günday, F. (2019). Mimo System İdentification of İndustrial Building Using N4sid with Ambient Vibration. International Journal of Innovations in Engineering Research and Technology.
[13] Gunday.F., “OMA of RC Industrial Building Retrofitted with CFRP using SSI” International Journal of Advance Engineering and Research Development, 2018.
[14] Gunday.F., “GFRP Retrofitting Effect on the Dynamic Characteristics of Model Steel Structure Using SSI” International Journal of Advance Engineering and Research Development, 2018.
[15] Dushimimana, A., Günday, F., &Tuhta, S. (2018). Operational Modal Analysis of Aluminum Model Structures Using Earthquake Simulator. Presented at the International Conference on Innovative Engineering Applications.
[16] Günday, F., Dushimimana, A., &Tuhta, S. (2018). Analytical and Experimental Modal Analysis of a Model Steel Structure Using Blast Excitation. Presented at the International Conference on Innovative Engineering Applications.
[17] Tuhta, S., &Günday, F. (2019). Application of Oma on The Bench scale Aluminum Bridge Using Micro Tremor Data. İnternational Journal of Advance Research and Innovative İdeas in Education, 5(5), 912–923.
[18] Kasimzade, A., Tuhta, S., Günday, F., & Aydin, H. (2019). Investigation of Modal Parameters on Steel Structure Using FDD from Ambient Vibration. Presented at the 8th International Steel Structures Symposium, Konya.
[19] Kasimzade, A., Tuhta, S., Aydin, H., &Günday, F. (2019). Determination of Modal Parameters on Steel Model Bridge Using Operational Modal Analysis. Presented at the 8th International Steel Structures Symposium, Konya.
[20] Tuhta, S., Günday, F., & Abrar, O. (2019). Experimental Study on Effect of Seismic Damper to Reduce the Dynamic Response of Bench Scale Steel Structure Model. İnternational Journal of Advance Research and Innovative İdeas in Education, 5(5), 901–911.
[21] Tuhta, S., Günday, F., & Aydin, H. (2019). Numerical Algorithms for System Identification of Benchmark Steel Structure. Presented at the iSTE-CE’xx2019- International Conference on Innovation, Sustainability, Technology and Education in Civil Engineering.
[22] Tuhta, S., &Günday, F. (2019). Modal Parameters Determination of Steel Benchmark Warehouse by System Identification Using ANN. International Journal of Research and Innovation in Applied Science, 6(12), 8–12.
[23] Tuhta, S., Günday, F., &Alalou, M. (2019). Determination of System Parameters on Model Lighting Pole Using ANN by Ambient Vibration. International Journal of Research and Scientific Innovation, 6(11), 191–195.
[24] Tuhta, S., Günday, F., &Alihassan, A. (2020). System Identification of Model Steel Chimney with Fuzzy Logic. International Journal of Research and Innovation in Applied Science, 5(1), 11–15.
[25] Tuhta, S., Günday, F., & Aydin, H. (2020). System Identification of Model Steel Bridge with Fuzzy Logic. International Journal of Research and Innovation in Applied Science, 5(1), 50–54.
[26] Tuhta, S., Günday, F., & Aydin, H. (2020). System Identification of Model Steel Bridge with Genetic Algorithms. International Journal of Research and Innovation in Applied Science, 5(1), 55–59.
Sertaç TUHTA, Furkan GÜNDAY “Study for Artificial Neural Network of Aluminum Benchmark Bridge” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 2 February 2020, pp.90-95 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue2/90-95.pdf
For Full Text Click here
Assoc. Prof. Dr. Le Nguyen Doan Khoi February 2020 Page No.: 96-98
This paper presented the solutions for building entrepreneurial university in the globalization phase. In addition, it analysed the mechanisms of university to technology transfer: conferences and scientific publications, training of skilled labour force, and commercialization of knowledge entrepreneurial climate. It added a new facet towards other climate like innovation climate, justice climate or service climate. Given the proven linkages between concepts and positive outcomes like performance or satisfaction, the concept of entrepreneurial university contributes to entrepreneurship research.
- Page(s): 96-98
- Date of Publication: 11 March 2020
- Assoc. Prof. Dr. Le Nguyen Doan Khoi
Department of Scientific Research Affairs, Can Tho University, Vietnam
References
[1] Clarysse, B., Wright, M., Lockett, A., Van de Velde, E., Vohora, A., 2005. Spinning off new ventures: a typology of incubation strategies from European Research Institutions. Journal of Business Venturing 20, 183–216.
[2] Cohen, W., Levinthal, D., 1990. Absorptive capacity: a new perspective on learning and innovation. Administrative Science Quarterly 35, 128–152.
[3] Geisler, E., Furino, A., Kiresuk, T.J., 1990. Factors in the success or failure of industry–university cooperative research centers. Interfaces 20, 99–109.
[4] Landry, R., Amara, N., Rherrad, I., 2006. Why are some university researchers more likely to create spin-offs than others? Evidence from Canadian universities. Research Policy 35, 1599-1615.
[5] MacLachlan, A., 1995. Trusting outsiders to do your research: how does industry learn to do it? Research and Technology Management 38, 48–53.
[6] Mian, S.A., 1996. Assessing value-added contributions of university technology business incubators to tenant firms. Research Policy 25, 325–335.
[7] Mian, S.A., 1997. Assessing and managing the university technology business incubator: an integrative framework. Journal of Business Venturing 2, 251–285.
[8] O’ Shea, R.P., Allen, J.T., Chevalier, A., Roche, F., 2005. Entrepreneurial orientation, technology transfer and spinoff performance of U.S. universities. Research Policy 34, 994-1009.
[9] Oliver, A.L., Liebeskind, J.P., 1998. Three levels of networking for sourcing intellectual capital in biotechnology: implications for studying interorganizational networks. International Studies of Management and Organization 27, 76–103.
[10] Quintas, P., Wield, D., Massey, D., 1992. Academic-industry links and innovation: questioning the science park model. Technovation 12, 161–175.
[11] Shane, S., 2004. Encouraging university entrepreneurship. The effect of the Bayh–Dole Act on university patenting in the United States. Journal of Business Venturing 19, 127–151.
[12] Wright, M., Lockett, A., Clarysse, B., Binks, M., 2006. University spin-out companies and venture capital. Research Policy 35, 481-501.
Assoc. Prof. Dr. Le Nguyen Doan Khoi “Solutions for Building Entrepreneurial University” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 2 February 2020, pp.96-98 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue2/96-98.pdf
For Full Text Click here
Joshua O.Mene, Kingsley O. Okengwu February 2020 Page No.: 99-105
- Joshua O.Mene
Department of Geology, University of Port Harcourt, Choba Rivers State, P.M.B. 5323, Nigeria - Kingsley O. Okengwu
Department of Geology, University of Port Harcourt, Choba Rivers State, P.M.B. 5323, Nigeria
References
[1] Doust, H. and Omatsola, E. (1990). Niger Delta, in Edwards, J.D., and Santogrossi, P.A.,Edition. Divergent/passive margin basins: American Association of Petroleum Geologists Memoir.
[2] Reijers T.J.A. (2011). Stratigraphy and sedimentology of the Niger Delta. Geologos publication.
[3] Lawrence, S.R., Munday, S., Bray, R. (2002). Regional Geology and Geophysics of the eastern Gulf of Guinea (Niger Delta to Rio Muni). Lead Edge.
[4] Michele, L.W., Charpentier, R.R., and Brownfield, M.E. (1999). The Niger Delta petroleum system: Niger Delta province, Nigeria, Cameroon and Equatorial Guinea, Africa. US Department of the Interior and Geological Survey, Colorado, open file report.
[5] Bigelow, E.L. (1992). Introduction to wireline log analysis. Houston, Texas: Western Atlas International.
[6] Russell, W.L. (1944). The total gamma ray activity of sedimentary rocks as indicated by Geiger counter determinations. Geophysics
[7] Shabeer,N.A.A. and Sarfraz, H.S. (2016). Sedimentary facies interpretation of Gamma Ray (GR) log as basic well logs in Central and Lower Indus Basin of Pakistan. Science Direct, Geodesy and Geodynamis.
[8] Selley, R.C. (1978). Concepts and methods of subsurface facies analysis: American Association of Petroleum Geologists. Continuous Education Course Notes Series.
[9] Chow, J.J., Ming-Ching and Fuh, S.L.I, (2005). Geophysical well log study on the paleo-environment of the hydrocarbon producing zones in the Erchungchi Formation, Hsinyin, SW Taiwan.
[10] Siddiqui, N.A., El- Ghali, M.A., Mijinyawa, A. and Ben-Awuah, J. (2013). Depositional Environment of Shallow-Marine Sandstones from Outcrop Gamma-Ray Logs, BelaitFormation,Meragang Beach, Brunei Darussalam. Reserve Journals Environ Earth Science.
[11] Cant, D.J. (1992). Surface facies analysis. Facies models, R.G. Walker (ed.). Geoscience, Canada Reprint Series I, Geological Association of Canada Publications. Business & Economic Services, Toronto.
[12] Vakareloy, B. (2016). Depositional bias in the subsurface: Symptoms and treatments. Linkedin article publications
[13] Larionov, V. (1969). Borehole Radiometry. Moscow, USSR, Nedra.
References
[1] Clarysse, B., Wright, M., Lockett, A., Van de Velde, E., Vohora, A., 2005. Spinning off new ventures: a typology of incubation strategies from European Research Institutions. Journal of Business Venturing 20, 183–216.
[2] Cohen, W., Levinthal, D., 1990. Absorptive capacity: a new perspective on learning and innovation. Administrative Science Quarterly 35, 128–152.
[3] Geisler, E., Furino, A., Kiresuk, T.J., 1990. Factors in the success or failure of industry–university cooperative research centers. Interfaces 20, 99–109.
[4] Landry, R., Amara, N., Rherrad, I., 2006. Why are some university researchers more likely to create spin-offs than others? Evidence from Canadian universities. Research Policy 35, 1599-1615.
[5] MacLachlan, A., 1995. Trusting outsiders to do your research: how does industry learn to do it? Research and Technology Management 38, 48–53.
[6] Mian, S.A., 1996. Assessing value-added contributions of university technology business incubators to tenant firms. Research Policy 25, 325–335.
[7] Mian, S.A., 1997. Assessing and managing the university technology business incubator: an integrative framework. Journal of Business Venturing 2, 251–285.
[8] O’ Shea, R.P., Allen, J.T., Chevalier, A., Roche, F., 2005. Entrepreneurial orientation, technology transfer and spinoff performance of U.S. universities. Research Policy 34, 994-1009.
[9] Oliver, A.L., Liebeskind, J.P., 1998. Three levels of networking for sourcing intellectual capital in biotechnology: implications for studying interorganizational networks. International Studies of Management and Organization 27, 76–103.
[10] Quintas, P., Wield, D., Massey, D., 1992. Academic-industry links and innovation: questioning the science park model. Technovation 12, 161–175.
[11] Shane, S., 2004. Encouraging university entrepreneurship. The effect of the Bayh–Dole Act on university patenting in the United States. Journal of Business Venturing 19, 127–151.
[12] Wright, M., Lockett, A., Clarysse, B., Binks, M., 2006. University spin-out companies and venture capital. Research Policy 35, 481-501.
Joshua O.Mene, Kingsley O. Okengwu “Gamma Ray Log Analysis in Determining the Depositional Environment of Reservoir Sands: A Case Study of Shaka Field, Onshore Niger Delta” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 2 February 2020, pp.99-105 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue2/99-105.pdf
For Full Text Click here
Ajayi Olaoluwa O., Dianda Mohammed, Fagade Obasola E., Nwadike Blessing February 2020 Page No.: 106-111
Plant growth promoting bacteria including Agrobacterium spp., Azotobacter spp., Pseudomonas sp. and Paenibacillus sp., which are known to promote the growth of plants were co- inoculated co-inoculated with Rhizobia (which are known Nitrogen fixers) in cowpea to study and determine their effects on the uptake of nutrients such as Nitrogen, Phosphorus, Calcium, Sodium, Magnesium and Potassium which all play specific roles in the development of plants and are important for their growth. The experimental cowpea plants were growen for eight weeks under screen house conditions during which Nitrogen- free nutrient was applied to them weekly. Upon harvesting, the percentage quantity of these nutrients in the dried shoot was determined. It was observed that the consortium of Agrobacterium spp., Azotobacter spp. and Paenibacillus sp. improved the uptake of nitrogen and phosphorus, a corsortium of Pseudomonas sp. and Paenibacillus sp. improved the uptake of nitrogen, magnesium and calcium while the consortium of Azotobacter spp improved the uptake of calcium. There was no specific pattern in the uptake of sodium and potassium. There was significant correlation between the percentage Na and the percentage Mg, Ca, K, P and N in the shoot of the plants. Plant growth promoting bacteria have significant roles to play in nutrient uptake and can also contribute to nitrogen fixation in cowpea plants.
- Page(s): 106-111
- Date of Publication: 13 March 2020
- Ajayi Olaoluwa O.
Department of Microbiology, Faculty of Science, University of Ibadan, Ibadan, Nigeria - Dianda Mohammed
International Institute for Tropical Agriculture, Ibadan, Nigeria - Fagade Obasola E.
Department of Microbiology, Faculty of Science, University of Ibadan, Ibadan, Nigeria - Nwadike Blessing
Department of Microbiology, Faculty of Science, University of Ibadan, Ibadan, Nigeria
References
[1] Alvaro Peix., Martha .H., Ramirez- Bahena., Encarna Velazquez., Eulogio.J. Bemor. (2015). Bacteria Associations with Legumes. Critical reviews in plant science. 34: 17- 42.
[2] Eutropia V. T and Patrick A. N. 2013. Bradhyrhizobium japonicum inoculation and phosphorous supplementation on growth and chlorophyll Accumulation in soybean (Glycine max L.). American Journal of Plant Sciences. 4: 2281- 2289.
[3] Frans.J.M., and Maathius (2014). Sodium in plants.: Perception, Signalling and regulation of sodium refluxes. Journal of experimental botany. 65:849-858.
[4] Gangasuresh P., Muthuselvi V., Muthulakshmi E., Muthumari S. and Maniammal G., (2010) “Synergistic Efficiency of Phosphate Solubilizer Associated with Nitrogen Fixer on the Growth of Soybean (Glycine max),”. International Journal of Biological Technology, 1: 124-130.
[5] Harrigan , W.F and McCance, M.E. (1966). Laboratory Methods in Microbiology . department of Bacteriology, the west of Scotland. Agricultural college Auchicurive,
[6] Hesse P.R. (1971). A textbook of the soil chemistry analysis. John Murray ltd. London. Pp120-307.
[7] Kamara A. Y., Kwari J. , Ekeleme F. , Omoigui L. and Abaidoo R.( 2010). “Effect of Phosphorus Application and Soybean Cultivar on Grain and Dry Matter Yield of Subsequent Maize in the Tropical Savannas of North-Eastern Nigeria,”African Journal of Biotechnology, 7: 2593-2599.
[8] Kalavati P and Modi H.A. (2012). Importance of potassium in growth – A Review. Indian Journal of Plant Science. 1: 2319-3824.
[9] Kjeldahl, J. (1883). New method for the determination of nitrogen in organic substances, Zeitschrift fur analytische chemie. 22: 366-383.
[10] Makoi J.H.J.R, Bambara S., Ndakidemi P.A (2013). “ Rhizobium Inoculation and the supply of Molybdenum and lime Affects the uptake of macronutrient in common bean(P.vulgaris L.) plants”.AAustralian Journal of crop science 7: 784-793.
[11] Murphy J. and Rilley J. P.(1962). A modified single solution method for the determination of phosphate in natural water. Analytical chemistry Acta. 27:31-36.
[12] Olutiola, P.O., Famurewa,O, Sonntag, H.G. (2000). An introduction to general microbiology (A Practical approach), reprinted. Nigeria: Bolabay Press Ltd. 157-175.
[13] Onyango B.O, Koech P.K, Anyango B, Nyunja R.A, Skilton R.A, Stomeo F.(2015) Morphological, genetic and symbiotic characterization of root nodule bacteria isolated from Bambara groundnuts (Vigna subterranea L. Verdc) from soils of Lake Victoria basin, western Kenya. J App Biol Biotech. 3 (01): 001-010.
[14] Pandya M., Naresh Kumar, G., and Rajkumar, S. 2013. Invasion of rhizobial in-fection thread by non rhizobia for colonization of Vigna radiate root nodules.FEMS Microbiol. Lett.348: 58–65.
[15] Peoples, M.B., Herridge, D.F., Ladha, J .K. (1995). Biological nitrogen fixation: Investments. Expectations and actual contribution to agriculture. Plant and Soil 174: 3-28.
[16] Philip J. White and Martin R. Broadly (2003). Calcium in Plants. Annals of Botany 92:487-511.
[17] Subbaran G.V, Ito.O., Berry W.L., Wheeler R. M., (1941). Sodium –A functional plant nutrient. Critical reviews in plant science. 52: 237-244.
[18] Samavat S., Samavat S. , Mafakheri S. and Shakouri M. J. (2012) “Promoting Common Bean Growth and Nitrogen Fixation by the Co-Inoculation of Rhizobium and Pseudomonas fluorescens Isolates,” Bulgarian Journal of Agricultural Sciences,18: 387-395.
[19] Shahid M. Q. , Saleem M. F., Khan H.Z. and Anjum S. A.( 2009) “Performance of Soybean (Glycine maxL.) under Different Phosphorus Levels and Inoculation,” Pakistan Journal of Agricultural Sciences, 46: 237-241.
[20] Somasegaram P and Hoben H.J.(1985). Methods in legume-rhizobium technology NifTAL project and MIRCEN. University of Hawaii Maui.
[21] Uchida R. ( 2000). “Essential Nutrients for Plant Growth: Nutrient Functions and Deficiency Symptoms. Plant Nutrient Management in Hawaii’s Soils,” College of Tropical Agriculture and Human Resources, University of Hawaii Manoa, 31-55.
[22] Woomer, P. L., Karanja. N., Stanley M. (2011). A revised manual for rhizobium methods and standard protocols (www.n2africa.org).
[23] Yahya-Abadi M.(2008). Evaluation of Nitrogen fixation potential and nutrients uptaking in some common bean sysmbiosis bacteria. Preccedings of 10th Iranian congress of crop production and plant breeding 19-25 august karaj, Iran.75
[24] Young, J. M., Kuykendall, L.D., Martinez-Romero, E., Kerr, A. and Sawada, H. (2001). A revision of rhizobium Frank 1889, with an emended description of the genus, and the inclusion of all spiecies of Agrobacterium Conn 1942 and Allorhizobium undicola de Lajudie et al., 1998 as new combinations: Rhizobium radiobacter, R. rhizogenes, R. rubi, R. undicola and R. vitis. International Journal of systemic and evolutionary Microbiology 51: 89-103.
Ajayi Olaoluwa O., Dianda Mohammed, Fagade Obasola E., Nwadike Blessing “Plant Growth Promoting Bacteria Play a Major Role in Nutrient Uptake of Cowpea Plants” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 2 February 2020, pp.106-111 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue2/106-111.pdf
For Full Text Click here
Ugonna Victor Okolichukwu, Beatrice Adenike Sunday, Friday E. Onuodu February 2020 Page No.: 112-116
Data mining is a process with an objective of information extraction from huge datasets. Data mining involves extracting useful data from a huge quantity of raw data to solve a given problem of clustering. Thus, it is otherwise called Knowledge Discovery of Data (KDD). Clustering is an aspect of machine learning that is of great importance in the area of data mining analysis. Clustering involves the grouping of a set of similar data objects into the same group (clusters) considering their unique qualities and similarity. A good clustering algorithm will result to an increased rate of intra-grouped similarity and a decreased rate of inter-grouped similarity. Clustering algorithm are grouped into Hierarchical, Partitioning and Density-based clustering algorithm. The Partitioning clustering algorithm splits the data objects into a number groups called partition and each partition represents a cluster. Hierarchical clustering techniques creates a hierarchy or tree of clusters for the data objects. Density-based algorithms groups its data objects based on a particular neighbourhood and locates the cluster in regions with high density. The purpose of this paper was to do a comparison between hierarchical, partitioning and density-based clustering algorithms based on their observed features and functions, and the metrics used is ability to deal with or handle noise and/or outliers. We conclude our findings using a summary table on their performance, stating that Density-based algorithm is highly sensitive in dealing with outliers and/or noise easily than hierarchical and partitioning clustering algorithm.
- Page(s): 112-116
- Date of Publication: 14 March 2020
- Ugonna Victor Okolichukwu
Department of Computer Science Education, Federal College of Education, Eha-Amufu, Enugu State, Nigeria - Beatrice Adenike Sunday
Department of Computer Science, School of Postgraduate Studies, Ignatius Ajuru University of Education, Rivers State, Nigeria - Friday E. Onuodu
Department of Computer Science, University of Port Harcourt, River State, Nigeria
References
[1] Ashok, A. R., Prabhakar, C. R. and Dyaneshwar, P. A.,(2013). Comparative Study on Hierarchical and Partitioning Data Mining Methods. International Journal of Science and Research (IJSR), India, 2(3), pp. 211-215.
[2] Bala, R., Sikka, S. and Singh, J., (2014). A Comparative Analysis of Clustering Algorithms. International Journal of Computer Applications, India, 100(15), pp. 35-39.
[3] Baviskar, C. T. and Patil, S. S., (2016). Dealing with Overlapping of Clusters by usingFuzzy K-Means Clustering. International Conference on Global Trends in Engineering, Technology and Management (ICGTETM), India, pp. 45-51.
[4] Chaudhari, B. and Parikh, M., (2012). A Comparative Study of Clustering Algorithms UsingWeka Tools. International Journal of Application or Innovation in Engineering & Management (IJAIEM), 1(2), pp. 154-158.
[5] Chris, D. and Xiaofeng, H., (2002). Cluster Merging and Splitting in Hierarchical Clustering Algorithms.
[6] DeFreitas, K. and Bernard, M., (2015). Comparative Performance Analysis of Clustering Techniques in Educational Data Mining. International Journal on Computer Science and Information Systems,Trinidad and Tobago, 10(2), pp. 65-78.
[7] DeFreitas, K. and Bernard, M., (2014). A Framework for Flexible Educational Data Mining. In The 2014 International Conference on Data Mining. Las Vegas, USA, pp. 176–180.
[8] Firdaus, S. and Uddin Md. A., (2015). A Survey on Clustering Algorithms and ComplexityAnalysis. International Journal of Computer Science Issues (IJCSI), Bangladesh, 12(2), pp. 62-85.
[9] Gupta, G. K., (2006). Introduction to data mining with case studies.PHI Learning Pvt. Ltd.
[10] Han, J., Kamber, M. and Pei, J., (2012). Data Mining: Concepts and Techniques 3rd ed., Massachusetts, USA: Morgan Kaufmann.
[11] Jain, S., Aalam, M. A. and Doja, M. N., (2010). K-means Clustering Using Weka Interface.Proceedings of the 4th National Conference, India.
[12] Mann, K. A. and Kaur, N., (2013). Review Paper on Clustering Techniques. Global Journal of Computer Science and Technology Software & Data Engineering, USA, 13(5), pp. 42-48.
[13] Popat, S. K. and Emmanuel, M., (2014). Review and Comparative Study of Clustering Techniques. International Journal of Computer Science and Information Technologies (IJCSIT), 5(1), pp. 805-812.
[14] Rai, P. and Singh, S., (2010). A Survey of Clustering Techniques. International Journal of Computer Applications, 7(12), pp. 1-5.
[15] Rani, Y. and Rohil, H., (2013). A Study of Hierarchical Clustering Algorithm. International Journal of Information and Computation Technology, India, 3(11), pp. 1225-1232.
[16] Rokach, L. and Maimon, O., (2002). Clustering Methods. Department of Industrial Engineering Tel-Aviv University.
[17] Salgado, C. M., Azevedo, C., Proenca, H. and VSM., (2016). Secondary Analysis of ElectronicHealth Records: Noise versus Outliers. pp 163 -183.
[18] Saket, S. J. and Pandya, S., (2016). An Overview of Partitioning Algorithms in Clustering Techniques. International Journal of Advanced Research in Computer Engineering &Technology (IJARCET), 5(6), pp. 1943-1946.
[19] Tayal, M. A. and Raghuwanshi, M. M., (2010). Review on Various Clustering Methods for the Image Data. Journal of Emerging Trends in Computing and Information Sciences, India, 2, pp. 34-38.
[20] Vijayarani, S. and Jothi, P., (2014). Hierarchical and Partitioning Clustering Algorithms for Detecting Outliers in Data Streams. International Journal of Advanced Research in Computer and Communication Engineering, 3(4), pp. 6204-6207.
Ugonna Victor Okolichukwu, Beatrice Adenike Sunday, Friday E. Onuodu “Review and Comparative Analysis of Data Clustering Algorithms” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 2 February 2020, pp.112-116 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue2/112-116.pdf
For Full Text Click here
Victoria WILSON, Abdou TENKOUANO February 2020 Page No.: 117-121
This experiment was conducted to (i) identify the progenies of paternal (pollen) parents using 20 coded morphological markers in order to establish which of these are inherited /transmitted to the progenies from their male progenitors in a 4x – 2x polycross mating design and (ii) determine using these markers, equal or unequal paternal contribution in progenies of all the maternal (seed) parents. Sixteen of the morphological characters were found to be monomorphic while four were polymorphic. The polymorphic characters were pseudostem wax (PW), pseudostem blotch (PB), presence of petiole canal (PC), and clasping of petiole margin (CPM) and these were used to screen the progenies in order to identify their male progenitors. Pseudostem wax (PW) was only present in TMB2x 5105-1, pseudostem blotch (PB) was unique to SH 3362, petiole canal (PC) and clasping of petiole margin (CPM) occurred in TMP2x 2829-62 and SH 3362, but not in TMB2x 5105-1. Chi square test showed unequal paternal contribution with respect to pseudostem wax (PW), pseudostem blotch (PB), presence of petiole canal (PC) in the progenies of the maternal parent PITA 5. It also showed unequal paternal contribution in the maternal parent PITA 3 with respect to petiole canal. Clasping of petiole margin showed equal paternal contribution in all the maternal parents.
- Page(s): 117-121
- Date of Publication: 19 March 2020
- Victoria WILSON
Department of Plant Science and Biotechnology, Rivers State University, PMB 5080, Port Harcourt, Rivers State, Nigeria - Abdou TENKOUANO
Executive Director of CORAF /West and Central African Council for Agricultural Research and Development, Dakar, Senegal
References
[1] Simmonds, N.W, Shepherd, K. (1955) The taxonomy and origin of the cultivated bananas. Bot J Linn Soc 55(359):302–312. doi:10.1111/j.1095-8339.1955.tb00015.x
[2] Brown, N.S. Venkatasamy, G. Khittoo, T. Bahorun, S. J. (2009). Evaluation of genetic diversity between 27 banana cultivars (Musa spp.) in Mauritius using RAPD markers. African Journal of Biotechnology 8(9): 1834-1840.
[3] Sumardi, and Wulandari 2010). Anatomy and morphology character of five Indonesian banana cultivars (Musa spp.) of different ploidy level. Biodiversitas. (4):167-175. DOI: 10.13057/biodiv/d110401
[4] IPGRI, (1996). International Plant Genetic Resources Institute. Descriptors for banana (Musa spp.). Rome: FAOP-IPGRI-INIBAP, 1996. 55p.
[5] IPGRI-INIBAP(Bioversity)/CIRAD. (2003). Descriptors for Banana (Musa spp.) Rome: IPGRI; 1996. Montpellier: INIBAP; Montpellier: CIRAD, 59 pp. http://mgis.inibap.org
[6] Rodrigues, F. E., Librelon, S.S., Nietsche, S., Costa, M. R., Pereira, M. C.T. (2012). Genetic variability in clones of ‘Prata Anã’ bananas based on phenotypic and molecular markers. Plant Breeding Article Bragantia, Campinas, 71(2):182-189. https://doi.org/10.1590/S0006-87052012000200005
[7] Ortiz, R. (1997). Morphological variation in Musa germplasm. Genetic Resources and Crop Evolution, 44:393-404. https://doi.org/10.1023/A:1008606411971
[8] Viscosi V,, Cardini A (2011). Leaf Morphology, Taxonomy and Geometric Morphometrics: A Simplified Protocol for Beginners. PLoS ONE 6(10): e25630. doi:10.1371/journal.pone.0025630
[9] Viscosi V, Fortini, P (2011). Leaf shape variation and differentiation in three sympatric white oak species revealed by elliptic Fourier analysis. Nord J Bot 29:632–640. DOI: 10.1111/j.1756-1051.2011.01098.x
[10] Pillay M., Nwakanma, D.C., Tenkouano, A. (2000). Identification of RAPD markers linked to A and B genome sequences in Musa L. Genome 43: 763–767. DOI: 10.1139/g00-038 •
[11] Nantale, G., Kakudidi, E.K., Karamura, D.A., Karamura, E., Soka, G. (2008). Scientific basis for banana cultivar proportions on-farm in East Africa. African Crop Science Journal, v.16, p.41-49, ISSN: 1021-9730 EISSN: 2072-6589
[12] López-Caamal, A., Tovar-Sánchez, E. (2014). Genetic, morphological, and chemical patterns of plant hybridization. Revista Chilena de Historia Natural 2014, 87:14. ISSN 0716-078X. http://dx.doi.org/10.1186/s40693-014-0016-0.
[13] Kirk, H,, Cheng, D., Choi, Y.H,, Vrieling, K,, Klinkhamer, P.G.L. (2012) Transgressive segregation of primary and secondary metabolites in F2 hybrids between Jacobaea aquatica and J. vulgaris. Metabolomics 8:211–219. DOI: 10.1007/s11306-011-0301-8
[14] Samarasinghe, W.L.G., Perera, A.L.T., Wickramasinghe, I.P., Rajapakse, S. (2010). Morphological and molecular characterization of Musa germplasm in Sri Lanka and selection of superior genotypes. Acta Hortic. 879, 571-577. DOI: 10.17660/ActaHortic.2010.879.63
[15] Pachuau, L., Atom, A. D. Thangjam, R. (2014). Genome classification of Musa cultivars from Northeast India as revealed by ITS and IRAP Markers. Appl Biochem Biotechnol (2014) 172:3939–3948. DOI 10.1007/s12010-014-0827-0
[16] Ning, S-P, Xu, L-B,, Lu, Y., Huang, B-Z,, Ge, X-J. (2007). Genome composition and genetic diversity of Musa germplasm from China revealed by PCR-RFLP and SSR markers. Scientia Horticulturae.114:281–288.
[17] Boynton, J.J., Harris, E.H., Burkhart, B.D., Lamerson, P.M., Gillham, N.W. (1987). Transmission of mitochondrial and chloroplast genomes of Chlamydomonas. Proc. Natl. Acad. Sci. U.S.A. 84: 2391–2395.
[18] Neale, D.B., Sederoff, R.R. (1989). Paternal inheritance of chloroplast DNA and maternal inheritance of mitochondrial DNA in loblolly pine. Theor. Appl. Genet. 77: 212–216.
[19] Erickson, L., Kemble, R. (1990). Paternal inheritance of mitochondria in rapeseed (Brassica napus). Mol. Gen. Genet. 222: 135–139. https://doi.org/10.1007/BF00283034
[20] Mason, R., Holsinger, K., Jansen, R. (1994). Biparental inheritance of the chloroplast genome in Coreopsis (Asteraceae). J. Hered. 85: 171–173. https://doi.org/10.1093/oxfordjournals.jhered.a111430
[21] Malepszy, S., Burza, W., Miech, M. (1996). Characterization of a cucumber (C. sativus L.) somaclonal variant with paternal inheritance. J. Appl. Genet. 37: 65–78.
[22] Chen, J.F. Zhuang, F.Y., Qian, C.T. (2004). Reciprocal differences of morphological and DNA characters in interspecific hybridization in Cucumis. Can. J. Bot. 82: 16–21. doi: 10.1139/B03-107
[23] Matsuura, S. (1995). Paternal inheritance of mitochondrial DNA in cucumber (C. sativus L.). Cucurbit Genetics Cooperative Report No. 18: 31–33.
[24] Havey, M.J. (1997). Predominant paternal transmission of the cucumber mitochondrial genome. J. Hered. 88: 232–235.
[25] Havey, M.J., Lilly, J.W. (2002). Cucumber: a model angiosperm for mitochondrial transmission? J. Appl. Genet. 43: 1–17.
[26] Corriveau, J., Coleman, A. (1988). Rapid screening method to detect biparental inheritance of plasid DNA and results from over 200 angiosperm species. Am. J. Bot. 75: 1443–1458.
[27] Ortiz, R,, Austin, P.D., Vuylsteke, D. (1997). IITA High Rainfall Station African humid forest. American Journal of Horticultural Science.;32:969-972
[28] Winslow, M.D. (1992). Silicon disease resistance and yield of rice genotypes under upland cultural conditions. Crop Science.;32:1208-1213. Retrieved from http://www.nal.usda.gov/
[29] Swennen, R, Vuylsteke, D,, Ortiz, R. (1995). Phenotypic diversity and patterns of variation in West and Central African Plantains (Musa spp., AAB group Musaceae). Economic Botany.;49:320-327.
[30] Wilson, V., Tenkuoano, A., Pillay. M. (2019). Paternal Contribution to Banana (Musa sapientum L.) & Plantain (Musa paradisiaca L.) Progenies & Progeny Ploidy Composition in a Polycross Mating System Using RAPD & Flow Cytometry. Asian Journal of Biochemistry, Genetics and Molecular Biology 2019, 2 .4, pp. 1-14.
[31] Plantain and Banana Improvement Program Annual Report. (1994). Crop Improvement Division, International Institute of Tropical Agriculture, Nigeria. 160p.
[32] Plantain and Banana Improvement Program Annual Report. (1995). Crop Improvement Division, International Institute of Tropical Agriculture, Nigeria. 83
Victoria WILSON, Abdou TENKOUANO “Analysis of Paternal Transmission of Morphological Characters in Progenies of Maternal Parents in a 4x – 2x Musa Polycross Mating Design” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 2 February 2020, pp.117-121 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue2/117-121.pdf
For Full Text Click here
Anju Viswan, K, E. Pushapalatha February 2020 Page No.: 122-128
Excessive usage of synthetic insecticides has led to the development of insecticide resistance in mosquitoes and it can be reduced to an extent by the use of botanical insecticides. The pharmacological and insecticidal properties of plants have been studied and identified all around the world. The present study aims to find out the larvicidal activities of Anamirta cocculus (L.) Wight and Arn against Culex quinqueafsciatus Say and Aedes albopictus (Skuse), and to isolate the most active compounds. Acetone and Methanol extracts of the A. cocculus seeds collected from Calicut University campus were taken using the soxhlet apparatus. Methanol extract is then defatted with equal volume of analytical grade petroleum ether to get defatted methanol extract. Defatted methanol fraction was then subjected to fractionation by using Ethyl acetate and double distilled water. Bioassays were conducted using all these extracts following the protocol of WHO and LC50 were calculated Different concentrations of EA fraction were set and the first instar larvae exposed in to it to find out any effect on larval duration. The Phytochemical screening was also done to find out the constituents in seed extract. A. cocculus treated larvae exhibited more restlessness, convulsions and sluggishness, and the restless activity is more in Ae. albopictus than in Cx. quinquefasciatus. A. cocculus acetone extracts shown more activity than methanol and defatted methanol extracts. The activity was higher in Ae. albopictus as compared with Cx. quinquefasciatus. The larvicidal activity is seen increasing with the concentration and time of exposure in every case. There is no prominent change in the duration of larval life span of A. cocculus and control population. From the results it has been proved that the plant is having high larvicidal activity. Further purification and experiments are going on to prove the efficacy of the active compounds in the field.
- Page(s): 122-128
- Date of Publication: 19 March 2020
- Anju Viswan, K
Biopesticides & Toxicology Laboratory, Department of Zoology, University of Calicut, Malappuram, Kerala, India - E. Pushapalatha
Biopesticides & Toxicology Laboratory, Department of Zoology, University of Calicut, Malappuram, Kerala, India
References
[1]. Azmathullah, N., Asrar Sheriff., & Sultan Mohideen, A. K. (2011). International journal of pharmaceutical and biological archive. International Journal of Pharmaceutical & Biological Archive, 2(6), 1718–1721.
[2]. Carlini, C. R., & Grossi-De-Sá, M. F. (2002, November 1). Plant toxic proteins with insecticidal properties. A review on their potentialities as bioinsecticides. Toxicon. Pergamon.
[3]. Daniel, T., Umarani, S., & Sakthivadivel, M. (1995). Insecticidal action of Ervatamia divaricata L. and Acalypha indica L. against Culex quinquefasciatus Say. Geobios New Rep, 14(2), 95–98.
[4]. Ezeonu, F. C., Chidume, G. I., & Udedi, S. C. (2001). Insecticidal properties of volatile extracts of orange peels. Bioresource Technology, 76(3), 273–274.
[5]. Finney, D. J. (1971). Probit Analysis. Cambridge University Press.
[6]. Kumar, A., Singh, S., Mahour, K., Vihan, V.S., Gururaj,K. (2011). Phytochemical analysis of some indigenous plants potent against ectoparsites. Asian Journal of Experimental Biological Science, 2(3), 506-509
[7]. Trease, G. E. & W. C. Evans, W. C. (1989). “Pharmacognsy”. 11th edn. Brailliar Tridel Can. Macmillan Publishers Trease, Alden Press. Oxford, 213-232.
[8]. Miller GT. (2004). Sustaining the Earth. 6th ed. California: Thompson Learning Inc. Pacific Grove; 211-216.
[9]. Sagar, S. K., & Sehgal, S. S. (1997). Toxicity of neem seed coat extract against mosquitoes. Indian Journal of Entomology, 59(2), 215–223.
[10]. Shivakumar, M. S., Srinivasan, R. & Natarajan, D. (2013). Larvicidal potential of some Indian medicinal plant extracts against Aedes aegypti (L.) Asian journal of Pharmaceutical and clinical Research, 6(3), 77-80.
[11]. Tawatsin, A., Wratten, S. D., Scott, R. R., Thavara, U., & Techadamrongsin, Y. (2001). Repellency of volatile oils from plants against three mosquito vectors. Journal of Vector Ecology: Journal of the Society for Vector Ecology, 26(1), 76–82.
[12]. Upadhyay M. (2014).Use of inorganic chemical and its impact on human health: a case study of farmers in India. Asian journal of Pharmaceutical and clinical Research, 4(2): 68-73.
[13]. WHO (1981). Instruction for determining the susceptibility or resistance of mosquito larvae to insecticide. WHO/VBC/81.807.
Anju Viswan, K, E. Pushapalatha “Studies on Phytochemical Monitoring and Mosquito Larvicidal activity of Anamirta cocculus (L.) Wight and Arn” International Journal of Research and Innovation in Applied Science -IJRIAS vol.5 issue 2 February 2020, pp.122-128 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/Vol.5&Issue2/122-128.pdf
For Full Text Click here