Asian Journal of Advanced Research and Reports

The study sought to assess the effect of channels of alternative banking on financial performance of Kenya Commercial Banks in Burundi. The specific objectives were: to examine the effect of mobile banking on financial performance of Kenya Commercial Bank, Burundi; to assess the effect of internet banking on financial performance of Kenya Commercial Bank, Burundi; to examine the effect of auto teller machines on financial performance of Kenya Commercial Bank, Burundi; and to assess the effect of agency banking on financial performance of Kenya Commercial Bank, Burundi. The study employed descriptive survey research design as well as correlation research designs. Based on information obtained from KCB, the target population for the study was 37 employees and 114 customers. The researcher used Slovin’s formula to define the sample population n = 60 (14 employees and 46 customers). A questionnaire was used for data collection. The data was qualitatively and quantitatively analyzed. The results of the study showed that there was a strong relationship between the different banking distribution channels and the financial performance of KCB Bank. It also found that 14.1% of the total variance in financial performance of KCB Bank could be attributed to alternative banking channels. The remaining 85.9% of the variance in financial performance could be attributed to other determinants of financial performance that were not the focus of this study. ANOVA statistics revealed that the regression model was ideal since it had a significance level of 0.0%. The study also found that mobile banking, Automated Teller Machine, agencies and Internet banking affected the performance of commercial banks in a positive and statistically significant way. The study recommends that Burundian commercial bank sought to invest heavily in alternative banking as this will lead to an improvement in banks' financial performance. The study also recommended that KCB should examine the competitive environment and determine the means to achieve the goal of interoperability, and continue to make electronic banking products available, offering various types of bank cards adapted to the needs of each client.

Background: As a public limited company in Bangladesh, Biman Bangladesh Airlines Limited has been struggling to establish itself as a profitable company after taking many initiatives. The work presented in this article constitutes a contribution to modeling and forecasting the financial position
of Biman Bangladesh by using a time series approach.
Methodology: The article demonstrates how the income and expenditure data could be utilized to forecast future profit scenarios by developing several Autoregressive Integrated Moving Average (ARIMA) time series with the regression model. Utilizing the Akaike Information Criterion (AIC) values, we identify the best fit ARIMA model and use this to forecast the financial scenarios for the subsequent years. To successfully build the model we use R Programming.

Results and Conclusion: The model predicts future values of income, expenditure and using these two, the profit or loss scenarios can be used for forecasting from year 2018 to 2025. The results forecast that Income would increase or decrease in contest of the Expenditure. As a result Biman Bangladesh may have face significant losses in the years 2020, 2021 and 2024.

The formation of implicit second order backward difference Adam’s formulae for solving stiff systems of ODEs was study in this paper. We used interpolation and collocation in deriving backward differentiae Adam’s formulae. The basic properties of our method was analyzed, and it was found to be consistent, zero-stability and convergent, we further plotted the region of absolute stability and it was shown to be A-stable. Numerical evidences shows that the multistep method develop is very effective method for in handling linear ODEs either initial value problems or boundary value problems.

Different agents used for treatment of diabetes mellitus are associated with serious adverse effects. This necessitates the scientific quest for substitutes that are comparatively less noxious- usually medicinal plants (e.g. Vernonia amygdalina Delile). Diabetes was induced in rats in groups A-D using alloxan. Group E served as control. Once daily for 28 days, diabetic rats in groups B and C were treated with 50 & 100 mg/kg BW of methanolic extracts of Vernonia amygdalina respectively while group D rats were administered with metformin hydrochloride (250 mg/Kg BW). Rats in group A served as untreated diabetic group. Fasted blood samples were collected for estimation of fasting blood glucose (FBG); total cholesterol (TC), triglyceride (TG), and high density lipoprotein-cholesterol (HDL-C) using standard biochemical methods. Statistical analysis was carried out using Student’s t test, P<0.05 was considered significant. After treatment, there were significant decreases in levels of FBG, TC, TG, LDL-C but increase level of HDL-C of B, C, & D when compared with group A. results of the study suggest that methanolic extract of V. amygdalina possesses antidiabetic properties and anti-hypolipidemic effects; this may explain why this plant is traditionally used for the management of diabetes mellitus and its complications.

Complexes of Co and Cu with SMZ were successfully synthesized (1:2 molar ratio) in good yield and characterized by using UV-vis, FTIR, melting point/decomposition temperature, electrical conductivity and solubility in different solvents of varying polarity and proticity. All the prepared complexes were coloured. From the IR results, 529, 631, 528 and 779 cm^-1 bands were observed in the spectra of the complexes which were absent in the free ligand spectrum thus, showing the presence of metal-ligand bond (coordination) in the complexes. The electronic spectral data of the complexes suggest an octahedral and tetrahedral geometry for all the complexes. The ligand and the Co (II) complex were found to be soluble polar protic solvents at both room and elevated temperature while, Cu (II) complex was found to be insoluble in polar protic solvent (ethanol) at room temperature but soluble at elevated temperature. The metal complexes are insoluble in non-polar solvent at both temperatures. More so, the ligand was found to be soluble in non-polar solvent at both temperatures. The electrical conductivity measurements indicated that the synthesized complexes are non-electrolytes. The synthesized metal complexes showed improved broad-spectrum antimicrobial activity against E. coli and S. aureus as compared to the ligand.  Thus, the complexes [Co(C₁₀H₁₁N₃O₃S)] and [Cu(C₁₀H₁₁N₃O₃S)] are good leads to be developed into antibiotics against the tested antimicrobial agents (E. coli and S. aureus).

Inventory processes have significant importance in a company's logistics system and greatly influences its economic operation. Inventory management systems are used in the case of both dependent and independent products. The most used inventory model is the computation of economic order quantity model, which can be used in various types of objective functions and constraints. Logistic processes and their materials handling operations have a great impact on the optimal solution of economic order quantity problems, therefore it is important to consider logistic aspects while using EOQ. Within the frame of this article the authors describe a model considering available storage and transportation capacity, while fixed order lots as size of loading units and quantity discounts are taken into consideration. Two scenarios are discussed to validate the model and highlight the importance of logistics related constraints in computation of economic order quantity.