Dr. Mutaz Khazaaleh

This paper deals with the quality of e-learning at AL-Balqa Applied University – Jordan. It discusses the already developed measures on the basis of statisti c l analysis for data gathered from e-learning elem nts which evaluates the quality of e-learning applicati ons and systems. The main contribution of the paper is the proposal for the quality metrics with the features concernin g elearning platforms in the technological and human a spects. The study is organized around the seven categories f e-learning quality dimensions: System Design (System Quality), System Design (Information /Conte nts Quality), System Design (Service Quality), Support Students and Staff, Resource Allocation, Sy stem Delivery and System Outcome (Evaluation and Assessment). The paper also identifies the difficulties that pre vent achieving a high level of quality in e-learnin g at ALBalqa Applied University. Then, it suggests some wa ys to overcome these difficulties.

The understanding of mammalian cortical area development network has long been a core objective in Systems Biology. The cerebral cortex is spliced into many functionally distinct areas. The evolution of these areas during neural growth is relied on a set of genes expression patterns. For instance, through the anterior-posterior axis, gradients of set of genes such as Fgf8, Emx2, Pax6, Coup-tfi, and Sp8 control the role in specifying a real identity. The Knowledge about this network is mainly of qualitative nature and incomplete. Therefore, we utilized a computational method to understand the complex dynamic interactions behavior between the aforementioned genes. There is a need to understand which interactions, and other combinations of interactions would be appeared in networks that mimic the anterior-posterior expression patterns. In addition, a continuous concentration measurements are considered as significant indicators for proteins activities. The concentration level during th...

Date of publication (dd/mm/yyyy): 28/06/2020 Abstract – As the use of Enterprise Information Portals (EIPs) continues to grow in contemporary businesses, the implementation and use of effective, reliable, safe and cost-effective Enterprise Information Portals modules among important departments will be essential for businesses striving to compete in the ever-evolving global economy. Enterprise Information Portals can be used as an instrument for communicating, sharing and exchanging wealthy data across broad networks that can span the globe. Enterprise Information Portals are currently used in company to help design, manufacture and manufacture procedures and are a main element of company tasks. This study reviews the Enterprise Information Portals (EIPs), definition of EIP, history for EIP, the differences between Websites and Portals, benefits of EIP, types of EIPs, EIP objective and design issues of EIPs.

Electronic government (E-Government) is a national project par excellence. Responsibility of the success of this project is the responsibility of all individuals, public, and private sectors. E-Government is a huge automated project uses the Information and Communication Technologies (ICTs) to promote more efficient and effective of government, facilitate more accessible government services, and make government more accountable to citizens. Through the implementation of E-Government, there are more challenges and difficulties faced by the project, at the same time there are more opportunities that will help us to accelerate the application of EGovernment project. This paper will be introduced some of these challenges and opportunities for developing a successful E-Government in Jordan. So, we distributed one thousand questionnaires to the main sectors such as private, public, and educational sectors to explore the Jordanians needs of EGovernment services. Important issues will be di...

Model reduction is an important topic in studies of biological systems. By reducing the complexity of large models through multi-level models while keeping the essence (biological meaning) of the model, model reduction can help answer many important questions about these systems. In this paper, we present a new reduction method based on hierarchical representation and a lumping approach. We used G1/S checkpoint pathway represented in Ordinary Differential Equations (ODE) in Iwamoto et al. (2011) as a case study to present this reduction method. The approach consists of two parts; the first part represents the biological network as a hierarchy (multiple levels) based on protein binding relations, which allowed us to model the biological network at different levels of abstraction. The second part applies different levels (level 1, 2 and 3) of lumping the species together depending on the level of the hierarchy, resulting in a reduced and transformed model for each level. The model at each level is a representation of the whole system and can address questions pertinent to that level. We develop and simulate reduced models for levels-1, 2 and 3 of lumping for the G1/S checkpoint pathway and evaluate the biological plausibility of the proposed method by comparing the results with the original ODE model of Iwamoto et al. (2011). The results for continuous dynamics of the G1/S checkpoint pathway with or without DNA-damage for reduced models of level- 1, 2 and 3 of lumping are in very good agreement and consistent with the original model results and with biological findings. Therefore, the reduced models (level-1, 2 and 3) can be used to study cell cycle progression in G1 and the effects of DNA damage on it. It is suitable for reducing complex ODE biological network models while retaining accurate continuous dynamics of the system. The 3 levels of the reduced models respectively achieved 20%, 26% and 31% reduction of the base model. Moreover, the reduced model is more efficient to run (30%, 44% and 52% time reduction for the three levels) and generate solutions than the original ODE model. Simplification of complex mathematical models is possible and the proposed reduction method has the potential to make an impact across many fields of biomedical research.