Publications

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ii. Ayotunde, L., OLEO & AO.  2008.  A Menstrual Disorder among Young Female Workers and its Implication on Job Performance (Case Study of ObafemiAwolowo University,. Ife Psychologia. 16(1):224-235.
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A, B, P M, N T, W A, M E, C M, R A, C O, P A, O O, A A, H O, B A, R B, A O, I O, E A, P O, L A-R, A A.  2015.  Multidisciplinary approach to genomic research in Africa: the AfriCRAN model. . Pan African Medical Journal . 21(229):1-5.
and A.O., BSRA.  2011.  Mycorrhizal fungi as potential agent of Biodiversity Conservation In: Environmental Research and Challenges of Sustainable Development in NIgeria. :422-438.
Abiodun, O, Akinola D.  2019.  Mapping the Impact of Land Use and Land Cover Change on Urban Land and Vegetation in Osun State, Nigeria, 10. Nigerian Journal of Environmental Sciences and Technology. 3:317-330. Abstract
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Abioye, AA, Atanda PO, Majolagbe SB, Isadare DA, Abioye OP, Akinluwade KJ, Adetunji AR.  2015.  Material Selection for Gas Turbine Blade Coating Using GRANTA Material Selector. Advances in Research. :1–9. Abstract
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Adebajo, AC, Reisch J.  2000.  Minor furocoumarins of Murraya koenigii. Fitoterapia. 71(3):334-337.
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Adebayo, MO.  2011.  Multimedia Sample. sample1.pptxsample2.pptx
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ADEBAYO, OM.  2010.  Mulitimedia Done Powerpoint. advertdesign.pptx
Adebisi, TA.  2017.  Motivational Factors and Barriers to Continuing Professional Education among Junior Staff of Obafemi Awolowo University, Ile-Ife, Nigeria. Ife Journal of Behavioural Research. 9(1 & 2):71-77.
Adedeji, MA, Owolarafe OK.  2015.  Mechanical and Aerodynamic Properties of Neem Seed (Azadirachta Indica) As Potentials for Developing Processing Machines. Journal of Teachers Perspective. 9:249–266., Number 1 Abstract
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Adedoyin, RA, Idowu AO, Adagunodo ER.  2005.  Musculoskeletal Pain Associated with the Use of Computer Systems in Nigeria. International Journal of Health Care Engineering. 13(2):125-130.
Adegoke, K, Otobrise H, Famoroti T, Adenike O, Akintujoye F, Tiamiyu A.  2019.  Magnetic Fields, 01. :6-15. Abstract
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Adekalu, KO, Okunade DA.  2009.  A model for deficit irrigation analysis of crops. Progress in Agricultural Engineering Sciences. 5(1):31-53.
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Adelokun, AS.  2012.  Methodological issues in the funding of Early Childhood Care and Development Education: A global perspective, . Ife Journal of Educational Administration and Planning. . 1(1):59-64.
Adeniran, HA, Adeniyi DM, Taiwo KA.  2020.  Microbiological Properties of Probioticated Kununzaki Drink Enriched with Cocoa Powder. European Journal of Agriculture and Food Sciences. 2(6) Abstract
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Adeniran, HA, Adeniyi DM, Taiwo KA.  2020.  Microbiological Properties of Probioticated Kununzaki Drink Enriched with Cocoa Powder. European Journal of Agriculture and Food Sciences. 2(6) Abstract
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Adeoti, G.  2003.  The Military in Nigeria's Postcolonial Literature: An Overview. Abstract
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Adepelumi, AA, Falebita DE.  2008.  Modeling Improves Niger Delta CSEM Results - Integration with logs, seismic data increases confidence. Offshore. 68(5):86-90.
Aderemi, HO, Hassan OM, Siyanbola WO, Taiwo K.  2009.  Managing science and technology occupations of women in Nigeria. Journal of technology management & innovation. 4(3):34-45.: Universidad Alberto Hurtado. Facultad de Economía y Negocios Abstract
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Aderemi, HO.  2009.  Managing Science and Technology Occupations of Women in Nigeria. : Universidad Alberto Hurtado. Facultad de Economía y Negocios Abstract
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Adesina, F, Maduekwe N.  2014.  Multi Level Modelling of the Linkages Between Vegetation Cover Dynamics and Socio-economic Factors in the Idemili River Basin of Anambra State, Nigeria, 2014/09/02. Abstract

This study assesses the relationships between socio-economic factors and the spatial dynamics of vegetation cover inthe Idemili River Basin of South Eastern Nigeria. It is based on a socio-ecological systems dynamics modeling
concept highlighting locality scale relationships between vegetation cover densities and socio-demographic,
economic and socio-cultural factors in the basin. The modeling was implemented using regression techniques with
pixel level NDVI indicators of vegetation cover density developed from remote sensing image datasets and
indicators of eight socio-economic factors developed from a household survey of the basin. NDVI values for the
basin ranged from -.117 to .410 indicating a high level of human impact on vegetation. Modeling results showed that
bivariate relationships between vegetation cover dynamics and socio-demographic variables were the most
significant, with R Square values > .60 for linear and nonlinear models. Vegetation cover density had high inverse
correlations with population, urbanization levels and number of households in localities. Population/urbanization
status of localities was also the most significant principal component or underlying dimension linked to spatial
dynamics of vegetation cover in the basin accounting for 50% of factor variations. Relationships between vegetation
cover densities and economic factors (occupational and household energy patterns) and socio-cultural factors
(environmental knowledge, values and governance) were weaker, and less significant . The study showed that factor
interactions are a prominent aspect of vegetation-society relationship in the basin with both adverse and beneficial
implications to vegetation cover.
Keywords: Environmental change; multi-level modeling; socio-economic; vegetal cover

Adesina, ADO, Adeyemi BA.  2003.  The Management of Socio-Economic Environment for Sustainability: The Roles of Man. Nigerian Journal of Clinical and Counselling Psychology. 9(2):233-241.
ADESOLA, F.  2003.  Moummar Gaddafi of Libya and the World. Nigerian Forum. Vol. 24(9 – 10.):289–303.
Adetunji, AR, Abioye AA, Isadare DA, Akinluwade KJ.  2015.  Material Selection for Crusher Jaw in a Jaw Crusher Equipment. International Journal of Materials Engineering. 5:17–22., Number 2 Abstract
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Adewunmi, CO, Aladesanmi AJ.  1988.  Molluscicidal Activities of Dysoxylum lenticellare Gillespie. Constituents on Biomphalaria glabrata Say, Phytotherapy Research. 2:104-106.
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