PREPARATION AND OPTICAL ANALYSIS OF COPPER SULPHIDE THIN FILM USING CHEMICAL BATH DEPOSITION METHOD
DOI:
https://doi.org/10.33003/fjs-2022-0603-1079Keywords:
Bandgap, Deposition, Film, TransmittanceAbstract
Copper Sulphide thin films is a metal usually found in superconducting films, diamond films, among others Solution growth method was used for the preparation of CuS thin films on glass substrates at various temperatures and deposition times. In this research, optical properties of these films were investigated. It is used in ultra violet range and microwave shielding. Best deposition was obtained at 600C. The corresponding 14950 Å film showed 3.7% transmittance at 300 nm and the band gap of the films was within 1.35 – 2.35 eV.
References
Abah, A.E. and Temple, B. (2017). Prevalence of Malaria Parasite among Asymptomatic
Primary School Children in Angiama Community, Bayelsa State, Nigeria, Trop Med Surg 4:203 doi:10.4172/2329-9088.1000203 https://doi.org/10.4172/2329-9088.1000203.
Abeku, T. A., De-Vlas, S. J., Borsboom, G., Teklehaimanot, A., Kebede, A., Olana, D., Van OortmarssenG. J. & Habbema, J. D. F. (2002). Forcasting malaria incidence from historical morbidity patterns in epidemic-prone areas of Ethiopia: a simple seasonal adjustment method perfoms best. Tropical medicine and international Health
(7): 851-857
Adebajo A.C., Famuyiwa, F.G., and Aliyu, F.A.(2014). Properties for Sourcing Nigerian Larvicidal Plants, Molecules, 19: 8363-8372 https://doi.org/10.3390/molecules19068363
Adebayo, A.A. and Tukur A.L (eds.) (1999) Climate “I and II†in Adamawa State in Maps, Paraclete Publisher, Yola Pp20-26.
Adegboye A., Al-Saghir M. O. And Leung D. H. Y. (2016). Joint spatial time-series epidemiological analysis of malaria and cutaneous leishmaniasis infection, Cambridge University Press Epidemiol. Infect. 145, 685–700. doi:10.1017/S0950268816002764
Adenomon, M. O. and Evans, O. P. (2014) Modeling the prevalence of malaria in Niger State: An application of Poisson regression and negative binomial regression models International Journal of Physical Sciences 2(4):061-068 http://academeresearchjournals.org/journal/ijps
Anwar M.Y., Lewnard J. A., Parikh S. and Pitzer V. E., (2016). Time series analysis of malaria in Afghanistan: using ARIMA models to predict future trends in incidence, Malar J., 15:566 DOI 10.1186/s12936-016-1602-1
Bassey, S.E., and Nwakaku, I.L. (2017). Prevalence of Malaria Parasitemia among Children between 1-10 Years Old Attending Federal Medical Centre, Yenagoa, Bayelsa State, Nigeria, EC Pharmacology and Toxicology, 3(2): 43-48
Cairns, A.J.G., Blake, D., Dowd, K., Coughlan, G.D., Epstein, D., and Khalaf-Allah, M. (2011). Mortality density forecasts: an analysis of six stochastic mortality models. Insurance: Mathematics and Economics, 48, 355-367.
Dougnon, T.V., Bankole, H.S., Hounmanou, Y.M.G., Echebiri, S., Atchade, P. and Mohammed, J. (2017). Comparative Study of Malaria Prevalence among Travellers in Nigeria (West Africa) Using Slide Microscopy and a Rapid Diagnosis Test, Journal of Parasitology Research https://doi.org/10.1155/2015/108707
Dowd, K., Cairns, A.J.G., Blake, D., Coughlan, G.D., Epsten, D., and Khalaf-Allah, M. (2011). A Gravity Model of Mortality Rates for Two Related Populations. North American Actuarial Journal, 15, 334-356.
Hamza, A.M., Rayah, E.A.E. and Abukashawa, S.M.A. (2014). Molecular Characterization of Mosquitoes of Anopheles gambiae Species Complex (Diptera: Culicidae) from Sudan and Republic of Southern Sudan, Journal of Mosquito Research, 4(13): 1-10 https://doi.org/10.5376/jmr.2014.04.0013
Hussien E.H. and Yong B. (2018). Time Series Analysis and Forecasting Model for Monthly Malaria Infection by Box-Jenkins Techniques in Kass Zone, South Darfur State, Sudan, Journal of Scientific and Engineering Research, 5(9):35-42
Iribhogbe O.I. and Odoya E.M. (2020). Selfâ€medication practice with antimalarials & the determinants of malaria treatmentâ€seeking behavior among postpartum mothers in a rural community in Nigeria. Pharmacoepidemiology and Drug Safety, 30(4): 435-444 doi: 10.1002/pds.5178
Jarner, S.F., and Kryger, E.M. (2011). Modelling Adult Mortality in Small Populations: The SAINT Model. ASTIN Bulletin, 41, 377-418.
Johansen, S. (1988). Statistical analysis of cointegration vectors, Journal of Economic Dynamics and Control 12(1):231-254
Johansen, S. and Juselius, K. (1990). Maximum Likelihood Estimation and Inference on Cointegration with Applications to demand for Money. Oxford Bulletin of Economics and Statistics 52:169-210
Kuhe D.A., Egemba R.C. & Torruam T.J. (2015). Modeling the transmission dynamics of malaria incidence in Nigeria. Journal of Mathematics and Computer Applications Research, 2(2): 1-16
Laari P. B., (2011): "spatial analysis of malaria epidemiology in the amanse west District Ghana". Kwame Nkrumah University of Science and Technology, Department of geomatic Engineering, Unpublished M.sc Thesis.
Li, J.S.H., and Hardy, M.R. (2011). Measuring Basis Risk in Longevity Hedges. North American Actuarial Journal, 15, 177-200.
NPC, (2006). Population and housing census: Enumerators manual. National Population Commission (NPC), Federal Republic of Nigeria, pp: 1-16.
Owoeye, J.A., Akawa, O.B., Akinneye, J.O., Oladipupo, S.O., Akomolede, O.E. (2016).
Toxicity of Three Tropical Plants to Mosquito Larvae, Pupae and Adults, Journal of Mosquito Research, 6(16): 1-7
Sarki, A., Pukuma, M. S., Yoriyo, K. P., Kunihya, I. Z., Hafizu, M. S., Kolawole, A. A., Haruna, M. Y., & Ali, R. (2019). Study on malaria infection in pregnant women attending primary health care centres in Gombe metropolis, Gombe State, Northeast, Nigeria, FUDMA Journal of Sciences 3(4): 90 –97.
Sims, C. A. (1980). Macroeconomics and Reality. Econometrica 48(1):1-48 https://doi.org/10.2307/1912017
Zhou, R., Li, J.S.-H., and Tan, K.S. (2013). Pricing mortality risk: A two-population model with transitory jump effects. Journal of Risk and Insurance, 80, 733-774.
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