Al Ain University of Science and Technology

About: Al Ain University of Science and Technology is a education organization based out in Al Ain, United Arab Emirates. It is known for research contribution in the topics: Higher education & Computer science. The organization has 369 authors who have published 1077 publications receiving 7930 citations.

Government and private sectors' electronic transfer practices and financial inclusion in the economic community of the West African States

Abstract: -------------------------------------------------------------------------------------------------------------------Abstract: Relying on a pooled-cross-sectional panel of the 2014 and 2017 Global Findex data, and a Random Utility Theoretic Model for revealed financial preferences data analysis, this paper examines the impact of government and private sector electronic transfer practices on financial inclusion, in terms of individuals’ ability to save and borrow within the Economic Community of the West African States (ECOWAS). For sensitivity analysis, we adopt a sequential empirical strategy in which we estimate and contrast four specifications of the saving and borrowing processes. Overall, our findings are stable across all specifications and show that along with socio-economic factors such as age and income, public welfare transfers and employment based salary transfers foster financial inclusion by significantly raising individuals’ marginal propensity to save (MPS) (by 11.6% and 12.9% respectively) and marginal propensity to borrow (MPB) (by 12.6% and 8.2% respectively) within ECOWAS. We found however that within ECOWAS, both MPS and MPB have decreased by 21.4% and 7.2% respectively between 2014 and 2017. Therefore, in addition to other economic growth promoting fiscal tools in the government toolkit, mandates on public (government to citizens) and private (Business to citizens) electronic financial transfers are significant policy leverages for improving financial inclusion and growth within ECOWAS.

Conflict Management Styles and Innovation Performance: The Mediating Role of Organizational Agility

Abstract: The aim of this research is to empirically investigate the relationship between conflict management styles (CMSs), organizational agility, and innovation performance. Covariance-based structural equation modeling was used to test Rahim and Bonoma conflict management styles and their relations to organizational agility and innovation performance. A total of 460 questionnaires were collected from the Jordanian telecommunication companies. Findings revealed that integrating style has a significant impact on the organizational agility and innovation performance. Organizational agility mediates the relationship between compromising and integrating conflict styles and innovation performance. The obliging, dominating, and avoiding conflict management styles have an insignificant effect on innovation performance. This research has significantly contributed to the existing literature where prior studies were mainly conducted in the Western context. The conflict management field is still under research in the Middle Eastern business context.

Building an Intelligent Telemonitoring System for Heart Failure: The Use of the Internet of Things, Big Data, and Machine Learning

Abstract: Heart failure (HF) is a significant and chronic health disease. Nevertheless, despite the high mortality rate and associated costs, it can be managed. Emerging technologies such as artificial intelligence, big data, and internet of things offer advantages for the management of HF. Using the medical records of HF patients, five machine learning algorithms - deep learning (DL), generalized linear models (GLM), naive base (NB), random forest (RF), and support vector machines(SVM) were used to build classifiers to predict HF. The results indicate that machine learning algorithms are effective tools for classifying the medical records of HF patients. GLM and SVM can potentially be utilized together to predict HF with high classification accuracy.

COVID-19 pandemic and transmission factors: An empirical investigation of different countries.

Abstract: The present work evaluates the impact of age, population density, total population, rural population, annual average temperature, basic sanitation facilities, and diabetes prevalence on the transmission of COVID-19. This research is an effort to identify the major predictors that have a significant impact on the number of COVID-19 cases per million population for 83 countries. The findings highlight that a population with a greater share of old people (aged above 65) shows a higher number of COVID-19 positive cases and a population with a lower median age has fewer cases. This can be explained in terms of higher co-morbidities and the lower general immunity in the older age group. The analysis restates the widely seen results that a higher median age and greater prevalence of co-morbidities leads to higher cases per million and lesser population density and interpersonal contact helps in containing the spread of the virus. The study finds foundation in the assertion that a higher temperature might lower the number of cases, or that temperature in general can affect the infectivity. The study suggests that better access to sanitation is a certain measure to contain the spread of the virus. The outcome of this study will be helpful in ascertaining the impact of these indicators in this pandemic, and help in policy formation and decision-making strategies to fight against it.

In vitro biological, catalytic, and DFT studies of some iron(III) N-ligated complexes

Abstract: Fe(III) complexes, [Fe(CH3CN)6][X]3 and [Fe(CH3CH2CN)6][X]3 (where X: counter anion = B{C6H3(m-CF3)2}4)− and B(C6F5)4−) have been synthesized by the reaction of FeCl3 with Ag[B(X)4]. Full characterization for the complexes has been done in solution and in the solid state. The complexes are obtained in good yields and are moderately sensitive to air. All complexes have been used as catalysts for aniline oxidation with yields up to 62%, in which azobenzene is the only product. Furthermore, they exhibit good antimicrobial properties. The Fe(III) complexes molecular geometries have been studied using DFT calculations at the B3LYP/6-31G(d) and B3LYP/6-31+G(d, p) levels of theory and obtained results are in agreement with the experimental data.