Detecting and Refactoring Operational Smells within the Domain Name System

The Domain Name System (DNS) is one of the most important components of the Internet infrastructure. DNS relies on a delegation-based architecture, where resolution of names to their IP addresses requires resolving the names of the servers responsible for those names. The recursive structures of the inter dependencies that exist between name servers associated with each zone are called dependency graphs. System administrators' operational decisions have far reaching effects on the DNSs qualities. They need to be soundly made to create a balance between the availability, security and resilience of the system. We utilize dependency graphs to identify, detect and catalogue operational bad smells. Our method deals with smells on a high-level of abstraction using a consistent taxonomy and reusable vocabulary, defined by a DNS Operational Model. The method will be used to build a diagnostic advisory tool that will detect configuration changes that might decrease the robustness or security posture of domain names before they become into production.Comment: In Proceedings GaM 2015, arXiv:1504.0244

Developing an African Offshoring Industry—The Case of Nigeria

The purpose of this note1 is to raise awareness of Nigeria’s potential as an African offshoring hub, and it is aimed primarily toward policy makers, potential private sector investors, and development partners. What can Nigeria do to take advantage of the benefits of global trade in services; how can the country brand itself as an offshoring destination for international investors; and what government policies are required to ensure that Nigeria plays a role in the growing ICT offshoring sector?development, Africa, Offshoring, Industry Nigeria, trade in services, investment, ICT, government policies, IT, communications

Simple Floating Voltage-Controlled Memductor Emulator for Analog Applications

The topic of memristive circuits is a novel topic in circuit theory that has become of great importance due to its unique behavior which is useful in different applications. But since there is a lack of memristor samples, a memristor emulator is used instead of a solid state memristor. In this paper, a new simple floating voltage-controlled memductor emulator is introduced which is implemented using commercial off the shelf (COTS) realization. The mathematical modeling of the proposed circuit is derived to match the theoretical model. The proposed circuit is tested experimentally using different excitation signals such as sinusoidal, square, and triangular waves showing an excellent matching with previously reported simulations

The Impact of Corporate Social Responsibility on Employees in the Hotel Sector

The concept of corporate social responsibility (CSR) has gained much attention in recent years. It provides companies with a signifi cant approach for achieving performance excellence and considered a source for enhancing competitive advantage. This paper comes to investigate CSR within the context of fi ve-star hotels in Hurgada, Egypt and assess its impact on employees’ job engagement, retention, attraction, and organizational commitment. Data was collected using multiple research methods, including: questionnaire survey, semi-structured interviews, and content analysis.This research found that the majority of hotels did not consider their CSR to society but tackled their CSR to environment undertaking various measures to conserve resources. Hotels provided little support to most internal CSR practices identifi ed in this study. The study showed that internal CSR could be used as an important driver for enhancing employee job engagement and organizational commitment. However, CSR still not considered a signifi cant tool to attract and retain high potential candidates.This research concluded that hotels should show more commitment to serve the community and formulate their core business strategies accordingly. The governmental and environmental organizations’ intervention is essential to provide more awareness to hotel businesses regarding tackling their CSR

Parametric and Non-Parametric Analysis of the Role of Economic Factors on Obesity Prevalence in Spain

Health Economics and Policy,

THE HORIZON OF DEVELOPINGTHE EGYPTIAN MARKETING TOURISM IN EU

Egypt made a tremendous effort during the last few years to enhance its tourism sectors. This was reflected in the number of tourists who visited Egypt, especially form E.U. and also in the revenue from the tourists who jumped in the recent years.tourism, E.U., Egypt, hotel, history

Primary and secondary students’ usage of digital platforms for mathematics learning during the COVID-19 outbreak: The case of the Gaza strip

Producción CientíficaDuring the outbreak of the COVID-19 pandemic, digital learning has reshaped mathematics education in different ways. In particular, different social media platforms have acquired an unforeseen prominence as a way to enhance mathematics learning and to model somehow the face-to-face classroom interactions abruptly interrupted. How primary and secondary students have reacted or responded to these changes in the initial learning conditions is the main aim of this study. With this purpose in mind data was collected from 3179 students from the Gaza Strip by means of a validated rating scale and then a cluster analysis approach was applied that revealed the existence of three clusters. K-means cluster analysis was applied to analyze data as an exploratory approach to identify structures within the data. Also, chi-square was applied to identify differences between the clusters with regard to demographic characteristics. Regarding the grouping of participants in clusters the analysis performed lead to the identification of three clusters: Cluster 1, 2 and 3 had 2001, 824 and 354 cases, respectively. These clusters were grouped depending on employ social media platforms used by the students to reinforcement their mathematics learning. Participants in Cluster 3 exhibited the highest proficiency in the usage of social media for mathematics learning as compared to those in Cluster 1 and Cluster 2. This means that students in cluster 1 are more likely to exhibit negative attitudes and low levels in the skills related to using digital technology and the employment of social media in mathematics learning. The results showed that there were no significant differences between cluster-groups with regard to gender, age, and type of school. In contrast, significant differences were found among the three clusters with regards to the educational level of parents and the economic status of the family. However, the overall results show that digital learning is considered a positive response to the school closure in the time of the COVID-19 outbreak