ABSTRACT

Background: primary school age obesity and overweight are increasing in developed countries like the Sudan. Primary school age underweight has been shown to rise a child’s risk of fast weight gain and so obesity, because of life style. Studies concerning obesity among Damazin children are rare. The aim of our study was to assess body mass index of primary school age   in Damazin town, Blue Nile region, Sudan. Method: A cross sectional study was conducted in Damazin town in 2025. A total of 140 primary school age students (100 (50 male & 50 female) case and 40(20male & 20 female) control). Any questionnaire was filled out by the leader of the student family.
Anthropometric indexes were measured and categorized according to the Center for Disease Control and prevention (CDC) – Sudan. Findings: Our findings indicate the deployments of underweight, overweight and obesity among the infants were approximately 32%, 12%, 6% respectively. Conclusion: The last findings of our study show the increase in the deployments of underweight compared to overweight and obesity among Damazin primary school age students.

Keywords: Primary School Age Children, Obesity, Overweight, Underweight, BMI.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). 

ABSTRACT

The study aimed to examine the impact of accounting intelligence on financial technology: an analytical investigation in the Jordanian business environment. To achieve the study objectives, a descriptive-analytical approach was employed, whereby a questionnaire was designed and distributed to the study sample, which was selected using a convenience sampling method. The sample included Jordanian financial and banking service providers (commercial and Islamic banks, electronic payment companies, and microfinance institutions). The results of the multiple regression analysis revealed that the five dimensions of accounting intelligence (analytical, technological, cognitive, strategic, and competitive intelligence) have a significant effect on financial technology, explaining 78.6% of the variance. The adjusted coefficient of determination (Adjusted R² = 0.780) indicated that approximately 78% of the changes in the dependent variable can be explained by the studied dimensions, while 22% remain attributed to other factors beyond the scope of this research. The significance tests confirmed that the effects of all independent variables were statistically significant at the 0.05 level, and some at the 0.01 level, reflecting a strong relationship between the dimensions of accounting intelligence and financial technology. Moreover, the Durbin-Watson test results fell within the acceptable range (1.5–2.5), ruling out any serious autocorrelation problems in the residuals and affirming the reliability of the model. These findings highlight that investing in the development of accounting intelligence dimensions effectively contributes to enhancing the adoption and performance of financial technology. They also emphasize the critical role of analytical, cognitive, technological, strategic, and competitive capabilities in improving financial technology outcomes.

Keywords: Accounting Intelligence, Analytical Intelligence, Technological Intelligence, Cognitive Intelligence, Strategic Intelligence, Competitive Intelligence, Financial Iechnology.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). 

ABSTRACT

The project aims at modelling and simulating contractionflow equations to achieve movement analysis of passages. The study aims to understand behaviour in the cases of pipeline design, cardiovascular system research as well as development of devices. It is a question of the flow reactions, change of pressure, variation in velocity and the turbulence in narrow holes under the influence of both computer simulation and laboratory experiment. There was an insight gained by mathematical models based on the Navier Stokes equations of dynamics. Simulations of computational fluid dynamics (CFD) with the aid of ANSYS Fluent or OpenFOAM can be used to visualise the flow patterns, identify areas of shear stress and calculate the pressure differentials at a certain point. In order to establish the checking against reliability of the results it is necessary to identify whether the grid is independent and is convergent. The compliance of the findings can be validated by taking experiments where the effects that pressure varies with shapes can be examined by using particle image velocimetry (PIV). It is planned that the flow properties are analysed and recommendations are offered to the engineer based on how the parameters vary to give the anticipated outcomes.

Keywords: ANSYS; Channels Constriction; Fluids Behavior; Fluid Flow; Numerical Modeling.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).