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Search Results: 1 - 10 of 1598 matches for " Ahsan Habib "
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Growth Opportunities, Earnings Permanence and the Valuation of Free Cash Flow
Ahsan Habib
Australasian Accounting Business and Finance Journal , 2011,
Abstract: This paper examines empirically the effect of firm growth opportunities and earnings quality on the market valuation of free cash flow, defined as the difference between operating cash flows and capital expenditures. Equity valuation theory prescribes that free cash flow should not be associated with stock returns because itdoes not add value. However, free cash flow could become a value-relevant construct in certain contexts. This study considers growth opportunities and transitory earnings as two such contexts and examines the valuation of free cash flow. An accounting-based valuation framework is developed where stock returns are regressed onfree cash flow interacted with growth and earnings quality proxies, after controlling for book values, dividends, and current earnings realisations. Findings reveal that firms with a positive free cash flow and attractive growth opportunities command a valuation premium. Furthermore, free cash flow is found to be positively associatedwith stock returns when earnings are transitory. The results are robust to alternative definitions of both free cash flow and growth opportunities.
Photocatalytic Degradation of p-Nitrophenol (PNP) in Aqueous Suspension of TiO2  [PDF]
Shafiqul Islam, Sumon Kumar Bormon, Md. Nadim, Kamrul Hossain, Ahsan Habib, Tajmeri Selima Akhter Islam
American Journal of Analytical Chemistry (AJAC) , 2014, DOI: 10.4236/ajac.2014.58057
Abstract: The effects of initial concentrations of PNP, doses of TiO2, cations and anions have been investigated to find out the conditions for the maximum degradation of PNP in presence of 254 nm UV light. The rate of photocatalytic degradation of PNP was increased with increasing TiO2 dose until the dose concentration reached at a value 0.4 g/100 mL. Further increase of TiO2 decreased the degradation. The maximum degradation of PNP was found with the catalyst dose 0.4 g/100 mL at pH 3. The degradation of PNP was decreased with increasing of PNP concentration. About 90% degradation of PNP was observed when 1.0 × 10﹣4 M PNP was irradiated for 2 hours in 0.4 g/100 mL of TiO2 suspension. The effect of Cu(II) and Fe(II) ions on the degradation was also investigated. Addition of Cu(II) ions enhances the percent degradation but excess of Cu(II) ions decreases the degradation. Under the same experimental conditions, the presence of \"\" and \"\" is found to be detrimental to the photodegradation of PNP. Hydrogen ion concentration of reaction mixture was found to increase continuously during photodegradation suggesting mineralization of PNP.
A Data Mining Approach to Predict Prospective Business Sectors for Lending in Retail Banking Using Decision Tree
Md. Rafiqul Islam,Md. Ahsan Habib
Computer Science , 2015, DOI: 10.5121/ijdkp.2015.5202
Abstract: A potential objective of every financial organization is to retain existing customers and attain new prospective customers for long-term. The economic behaviour of customer and the nature of the organization are controlled by a prescribed form called Know Your Customer (KYC) in manual banking. Depositor customers in some sectors (business of Jewellery/Gold, Arms, Money exchanger etc) are with high risk; whereas in some sectors (Transport Operators, Auto-delear, religious) are with medium risk; and in remaining sectors (Retail, Corporate, Service, Farmer etc) belongs to low risk. Presently, credit risk for counterparty can be broadly categorized under quantitative and qualitative factors. Although there are many existing systems on customer retention as well as customer attrition systems in bank, these rigorous methods suffers clear and defined approach to disburse loan in business sector. In the paper, we have used records of business customers of a retail commercial bank in the city including rural and urban area of (Tangail city) Bangladesh to analyse the major transactional determinants of customers and predicting of a model for prospective sectors in retail bank. To achieve this, data mining approach is adopted for analysing the challenging issues, where pruned decision tree classification technique has been used to develop the model and finally tested its performance with Weka result. Moreover, this paper attempts to build up a model to predict prospective business sectors in retail banking.
Selective Extraction of Co(II) in the Presence of Mn(II), Ni(II) and Cu(II) Using Salting-out Phase Separation Method
Ahsan Habib,Md. Wahiduzzaman,Harun-Or Rashid,Anarul Islam
Pakistan Journal of Analytical and Environmental Chemistry , 2008,
Abstract: Extraction of Co(II) in the presence of Mn(II), Ni(II) and Cu(II) has been studied using the mixture of 2-propanol with water upon the addition of CaCl2 in the concentration range of 3.0 – 5.0 mol dm-3 (M). Co(II) was extracted selectively to the extent of 80% into the 2-propanol phase at 5.0 M CaCl2. The percent of extraction of other transition metal ions, for example Mn(II), Ni(II) and Cu(II) was much lower than that of Co(II), but they were stripped in the aqueous phase upon addition of CaCl2. Therefore, selective extraction of Co(II) from these metal ions was attained by using the mixture of water and 2-propanol. Co(II) was extracted as CoCl42- from the aqueous phase into the 2-propanol phase through the formation of ion pair, Ca2+ - CoCl42-. A mechanism is proposed to explain the extraction.
Removal of Copper from Aqueous Solution Using Orange Pell, Sawdust and Bagasse
Ahsan Habib,Nazrul Islam,Anarul Islam,A. M. Shafiqul Alam
Pakistan Journal of Analytical and Environmental Chemistry , 2007,
Abstract: Orange peel, sawdust and bagasse have been used as adsorbents for the removal of Cu(II) from aqueous solution. The effects of contact time, pH, concentration, dose and ionic strength on the removal of Cu(II) have been studied. Moreover, treated sawdust has been used as an adsorbent for the same. The equilibrium adsorption capacity of the adsorbents for Cu(II) was obtained by Langmuir isotherm. The ionic strength effect on the removal of Cu(II) from its aqueous solution indicated that the removal followed ion-exchange mechanism.
Does January Effect Exist in Bangladesh?
A. F. M. Mainul Ahsan,Ahasan Habib Sarkar
International Journal of Business and Management , 2013, DOI: 10.5539/ijbm.v8n7p82
Abstract: This paper examines existence of January effect in Dhaka Stock Exchange (DSE) in Bangladesh. Regression model combined with dummy variables and monthly DSE All Share Price Index (DSI) from January 1987 to November 2012 has been used to test January effect in the stock return in DSE. It was empirically found that, although January anomaly doesn’t exist in DSE, there is significant positive return in June which raises question against efficient market hypothesis (EMH). Thus, there is an opportunity for investors to take advantage of this June anomaly.
Maj Gen Md Jahangir Hossain Mollik,Col Md Ahsan Habib
Journal of Armed Forces Medical College, Bangladesh , 2011,
Social Networks and Social Ties: Changing Trends among Urban Dwellers in Bangladesh  [PDF]
Ahsan Habib, Fahmida Hossain, Tahsina Ferdous, Khalilullah Muhammad Bayezid
Open Access Library Journal (OALib Journal) , 2018, DOI: 10.4236/oalib.1104604
This paper entitled “Social Networks and Social Ties: Changing Trends among Urban Dwellers in Bangladesh” discussed the impact of using social network sites on social ties. The main aim of the article is to reveal how internet and social networking sites reshapes our social relations especially in urban settings. The study followed qualitative way of analyzing social relations and its dynamics. Using empirical data, the article reveals how technological development is changing the contemporary world very rapidly. Changes are taking place in all spheres of life and ultimately these situations change our own society, conventional social thinking patterns and cultural beliefs. The internet is offering new forms of social relations and ties in both private and public sphere through social networking sites like—Facebook, Skype, Twitter, Viber, WeChat, WhatsApp and Imo etc.—that affect the pattern of our day-to-day interaction and relationships within families, communities and society at large. For these changes, human behavior is also changing and therefore, the study is becoming more important in the preset interpersonal relationship. Our contemporary way of living is demanding too much time away from natural social relationships because of technological advancement which is playing a major role for these changes and has a definite consequence on the social and cultural area of Bangladesh.
Kinetics of Degradation of Eosin Y by One of the Advanced Oxidation Processes (AOPs)—Fenton’s Process  [PDF]
Ashraf Hossain, A. B. M. Sadique Rayhan, Md. Jahir Raihan, Aklima Nargis, Iqbal M. I. Ismail, Ahsan Habib, Abu Jafar Mahmood
American Journal of Analytical Chemistry (AJAC) , 2016, DOI: 10.4236/ajac.2016.712074
Abstract: Kinetics of homogeneous degradation of Eosin Y (EY), also known as Acid red 87 (CI 45380), are studied, mostly using Fenton’s process, at 30 by monitoring its absorbance at 517 nm (λmax of EY). This process is one of the advanced oxidation processes (AOPs). Mixture of H2O2 and Fe(II) ion in acetate buffer medium (pH 2.74 - 4.56) generates hydroxyl free radicals (?OH) which attack the dye molecules, resulting in degradation of the dye molecules. Results show that the initial rate of EY degradation decreases with the increasing of solution pH because of removal of kinetically important Fe (iron) species through formation of ferric hydroxide. On the other hand, the rate increases with increasing the?concentrations of H2O2, Fe(II) and EY at low solution pH. The initial rate increases with increasing of concentration of H2O2 and, subsequently remains unaffected with further increase of its concentration at a constant Fe(II) concentration because of the enhanced scavenging environment created by H2O2 at its higher concentration. The initial rate also increases with increasing of concentration of Fe(II) at a constant H2O2 concentration and remains unaffected with its further increase. EY concentration also enhances the initial rate at low pH. However, the initial rate is significantly enhanced by UV light. This is because of formation of additional hydroxyl radicals through excitation of the dye molecules by UV light. During the period of experiment, EY in aqueous solution alone hardly suffered any degradation. Degradation mechanism of EY by the Fenton and photo-Fenton’s processes is also discussed. Statistical analysis was used to validate the experimental results. Low values of the standard deviation for both the initial rate and % degradation indicated the consistency of the experimental data.
Handwritten Numeric and Alphabetic Character Recognition and Signature Verification Using Neural Network  [PDF]
Md. Hasan Hasnain Nashif, Md. Badrul Alam Miah, Ahsan Habib, Autish Chandra Moulik, Md. Shariful Islam, Mohammad Zakareya, Arafat Ullah, Md. Atiqur Rahman, Md. Al Hasan
Journal of Information Security (JIS) , 2018, DOI: 10.4236/jis.2018.93015
Abstract: Handwritten signature and character recognition has become challenging research topic due to its numerous applications. In this paper, we proposed a system that has three sub-systems. The three subsystems focus on offline recognition of handwritten English alphabetic characters (uppercase and lowercase), numeric characters (0 - 9) and individual signatures respectively. The system includes several stages like image preprocessing, the post-processing, the segmentation, the detection of the required amount of the character and signature, feature extraction and finally Neural Network recognition. At first, the scanned image is filtered after conversion of the scanned image into a gray image. Then image cropping method is applied to detect the signature. Then an accurate recognition is ensured by post-processing the cropped images. MATLAB has been used to design the system. The subsystems are then tested for several samples and the results are found satisfactory at about 97% success rate. The quality of the image plays a vital role as the images of poor or mediocre quality may lead to unsuccessful recognition and verification.
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