IOSR-JHSS   Volume-19 ~ Issue-11 ~ Nov-2014

Abstract: The present study is an attempt to examine the perceptions of adolescents about their family environment. Two hundred and twenty four adolescents who were in the age range of 15+ to 18+ years constituted the sample. Family Environment scale by Bhatia & Chadda (1996) was used to assess the adolescents perceptions about their family environment. Results of the study revealed that majority of the adolescents studied had average perception about cohesion, expressiveness, acceptance and caring and active recreational orientation dimensions of family environment. Interestingly two thirds of the sample studied scored low on independence dimension. It is surprising to note that adolescent boys and girls did not differ significantly on any dimension of family environment. It is also evident that younger adolescents were more expressive than the older ones. It is interesting to note that adolescents of biological science group were more expressive than other arts groups and mathematics science group students.

[1.] Bhatia,H., & Chadda,N.K.(1996). Family Environmnet Scale, Agra Psychological Corporation,Agra
[2.] Carpenter,P., & Fleisman,J.(1987). Linking intensions and behaviour.Australian students college plans and college attendance.American Educational Research Journal,24,79-105.
[3.] Farell,M.P.,& Branes,G.M.(1993family system and social support.A test of the effects of cohesion and adaptability on functioning of parents and adolescents. Journal of marriage & family,55,119-132.
[4.] Georgiou,S.N.(1995).Family dynamics and school achievement in Cyprus.Journal of Child Psychology and Psychiatry,36(6),977-991.
[5.] Hussler,D., & Stage,F.(1992).Family and high school experience influences in the post secondary educational plans of 9th grade students.American Educational Reseach Journal,29,425-451

Abstract: The University has unique duty of initiating, innovating, training and supporting scientific research, to shape the society. This is reinforced by the electronic libraries in academic institutions, which fosters students' literacy, ease of study and research. This work studies students' patronage of the e-library (E-Learning Centre) in John Harris Library, University of Benin as a function of time and make predictions and recommendations for future occurrences using time series models. Some models of Time Series were applied and analysed using Zaitun Time Series Software to a 4 year data (2009-2012) retrieved from the E-learning Centre, John Harris Library, University of Benin and forecasts were made based on these analyses. The results from one of the models; Holt-Winters Exponential Smoothing (Multiplicative), was found to have best described our data having the lowest Mean Squared Error (MSE) of 78521.524167 and predicted a total of 15,952 patronages for year 2013 against the historical data of 23,107 patronages for year 2009; 22,455 patronages for year 2010; 11,707 patronages for year 2011; and 16,814 patronages for year 2012. The forecast reveals a decrease in the patronage of students to the e-library centre. Suggestions were made to the Library management such as increase awareness and incentives for users as well as improvement on service delivery.

Keywords: Time Series Analysis, Electronic Library, students' patronage

[1]. Aguolu, I. E, (2002) Libraries and information management in Nigeria: Seminar Essays on themes and problems. Maiduguri: El-Inform Service Pp. 24-30.
[2]. Aliu, I. M. & Emese, G. I. (2011) The impact of computerisation of library operations and use: a case study of John Harris Library, University of Benin. Information Impact: Journal of Information and Knowledge Management Vol 1(3) Pp 124-
[3]. Tenopir, C., Hitchcock, B., H., Ashley P. (2003) Use and Users of Electronic Library Resources: An Overview and Analysis of Recent Research Studies Washington D.C.: Council on Library and Information Resources. Available at www.clir.org/pubs/reports/pub120/pub120.pdf. Accessed 08/08/2012.
[4]. Hyndman, R. J., Koehler, A.B., Ord, K. J. & Snyder R.D. (2008) Forecasting with exponential smoothing: The State Space Approach, Berling-Heidelberg: Springer-Verlag.

Abstract: The article interrogated NEPAD and challenges of poverty alleviation in Nigeria. It tried to ascertain if the application of neo-liberal framework in the implementation of NEPAD undermine poverty alleviation in Nigeria. Analysis was anchored on the neo-liberal theory and qualitative method of data collection was used to glean data from documentary evidence of secondary sources. Qualitative descriptive analysis was employed with logical induction. The article revealed that at present the NEPAD target on poverty in Nigeria is unlikely to be met. The problem is that market-driven policies avoid analysis of power relations, which ultimately determines inequality and poverty. Again, poverty alleviation using the instrumentality of NEPAD is untenable under a neo-liberal economic framework. On the basis of our findings we recommend that the Nigerian state can only fight the war against poverty if it adopts a welfarist approach or regulated capitalism.

Keywords: NEPAD, liberalism, poverty

[1.] Adesina, J. (2002) "Neoliberalism, Labour and the Dilemma of Democracy: the Nigerian Case." Paper Presented at the CASS/OSIWA Conference on Democracy in Nigeria: the journey so far. 18-20 February. Abuja, Nigeria.
[2.] Aniekan, E.E. (2011) "Poverty Alleviation in Nigeria Through Capitalism Economic Framework". Journal of Sustainable Development in Africa, Vol. 13. No. 2. pp. 181-191
[3.] Bond, P. (2001) Against Global Apartheid: South Africa meets the World Bank, IMF and International Finance. Cape Town: UCT Press.
[4.] Bond, P. (2002) Fanon‟s Warning: a Civil Society Reader on the New Partnership for Africa‟s Development. Trenton, NJ: Africa World Press.
[5.] Center for Democracy and Development (2014) The Millennium Development Goals: Progress, Prospects and Policy Implications. Abuja:CDD

Abstract: The purpose of this study is to predict as precisely as possible the medical tourism demand in India. As tourist arrivals is the most frequently used measure of tourism demand, the present study considers FTAs and their purpose of visit to India as a measure of inbound tourist to seek medical care. The medical tourism demand and its potential market till 2015 are identified based on available appropriate model as suited to the nature of data specific to individual country.

Keywords: Forecast, Opportunity, Medical Tourist, Tourist Arrivals.

[1] Shanmugam K.R, Medical Tourism in India – Progress, Opportunities and Challenges, Monograph 26/2013 MSE Working Paper, Madras School of Economics, Chennai, India, 2013.

[2] IMTJ, Medical Tourism Climate Survey 2014, Conducted for the International Medical Travel Exhibition and Conference, Dubai, Intution Communication Ltd. 2014.

[3] Huang Y.L., Forecasting the Demand for Health Tourism in Asian Countries using A GM (1, 1) – Alpha Model, Tourism and Hospitality Management, 18 (2), 2012, 171 – 181.

[4] Fretchling D.C., Forecasting Tourism Demand – Methods and Strategies, (Butterworth Heinemann, Oxford, 2001).

[5] Cuhadar M., Modelling and Forecasting Inbound Tourism Demand to Istanbul – A Comparative Analysis, European Journal of Business and Social Sciences, 2 (12), 2014, 101 – 119.