http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/3130 2026-04-16T02:23:52Z http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/3145 Forecasting Dse Broad Index Rubi, Maksuda Akter; Hossain, Md Kamrul Predicting share prices of stock market is a common topic of research in all over the world because of interest of the mass investors. However, it is a challenging issue because price is affected by external factors and has higher volatility. In this study, Artificial Neural Network (ANN) is a latest tool which has used to predict the Dhaka Stock Exchange Broad Index (DSEX) for the duration from August, 2013 to December, 2018. DSEX represents around 97% of the total equity Market Capitalization. In this paper Three Layer Feed Forward Neural Network using Back propagation learning algorithm is used. The accuracy of the model is examined by calculating Root Mean Square Error (RMSE) values. The fitted ANN model showed better prediction pattern with smaller error values. 2019-07-01T00:00:00Z http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/3143 Dynamics and Stability Analysis of Party Switching in Politics of Nigeria Ayoade, A. A.; Farayola, Philip Iyiola; Lamidi, Taofeek Oyesola Democratic consolidations in Nigeria have been hampered by the incessant decamping of political office holders and gladiators. In an attempt to provide a theoretical basis to study the dynamics of party switching in Nigeria, we formulate a new deterministic compartmental model. We prove the positivity of solutions of the model, conduct the stability analysis via the principle of stability of nonlinear differential equations and carry out simulations to verify the theoretical results. Findings from the simulation show that political office holders lose their places in the hearts of the electorates when they fail to deliver electoral promises which prompts party defection. 2019-07-01T00:00:00Z http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/3142 Green Merchandising- A Sustainable Approach for Apparel Business Hossain, Kazi Rezwan; Majumder, Subrata; Parvez, Manik Green is becoming more economically contingent and exoteric in apparel retail business nowadays. Eco-friendly policies have penetrated stages of the fashion industry through apparel manufacturing, material sourcing, and apparel supply chain. By applying sustainable practices in the apparel business, a company does not only make a profit but also benefit the environment, create a positive image in the market and uplift the society as well. The consumers are ready to pay more for an eco-friendly product. However, practicing sustainable apparel business is not being popular all over the world. Merchandisers are called the heart of the apparel business. Thus, if they are aware of this fact, it will become more convenient for them to practice sustainability. In this paper, a probable solution being proposed is named green merchandising. This paper is based on how this solution will create an impact on the environmental, social and economic condition of the apparel business. By applying green merchandising, the unsustainable impact will be reduced and also this solution will reduce the usage of natural resources like water, gas, electricity and reduce the carbon emission as well. Some aspects of unsustainable practice in apparel business have been presented in the paper. Moreover, probable solutions have been proposed and if these are implemented in textile and apparel business then what would be the benefits are mentioned in this paper. 2019-07-01T00:00:00Z http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/3140 Aroma Cum Antibacterial Finishing of Cotton With Inclusion Complex of Βcyclodextrin-Co-Chitosan and Oil of Lavender Khanna, Shelly; Kaur, Amandeep Host-guest complex of β-cyclodextrin-cochitosan and lavender was employed for the combined aroma cum anti-bacterial finishing of cotton textiles. The modified host viz. β-cyclodextrin-co-chitosan was synthesized with the use of β-cyclodextrin citrate as the intermediate for the achievement of the satisfactory yield of the host. FTIR analysis was carried out for the characterization of β-cyclodextrin-co-chitosan and also the surface modification of the functionalized cotton with the modified host. 1HNMR spectra of the inclusion complex of β-cyclodextrin-co-chitosan and Lavender had confirmed the formation of a strong complexation between the two compounds. The functional as well as physical properties as aroma retention, anti-bacterial assessment, tensile strength, crease recovery, bending length and air permeability were investigated both for the host-guest complexed cotton and lavender alone treated cotton. The aroma retention and a strong inhibition zone was found more pronounced in the functionalized cotton instead of the oil alone treated cotton, which can be a promising and potential cadre of application of multi faceted textiles. 2019-07-01T00:00:00Z