Citizens as consumers: Profiling e-government services’ users in Egypt via data mining techniques

This study uses data mining techniques to examine the effect of various demographic, cognitive and psychographic factors on Egyptian citizens’ use of e-government services. Data mining uses a broad family of computationally intensive methods that include decision trees, neural networks, rule induction, machine learning and graphic visualization. Three artificial neural network models (multi-layer perceptron neural network [MLP], probabilistic neural network [PNN] and self-organizing maps neural network [SOM]) and three machine learning techniques (classification and regression trees [CART], multivariate adaptive regression splines [MARS], and support vector machines [SVM]) are compared to a standard statistical method (linear discriminant analysis [LDA]). The variable sets considered are sex, age, educational level, e-government services perceived usefulness, ease of use, compatibility, subjective norms, trust, civic mindedness, and attitudes. The study shows how it is possible to identify various dimensions of e-government services usage behavior by uncovering complex patterns in the dataset, and also shows the classification abilities of data mining techniques.     

On Cocoons,Consciousness, and Courage: Preparing Justice-Oriented Teacher Educators Through Critical Pedagogies

In this article, we share findings from a 3-year project in which novice teacher educators participated in Freirean culture circles and Boalian Theatre of the Oppressed (teatro) in order to critically explore the work of justice-oriented teacher education. Anchored in one of the project’s most resonant scenarios, the article illustrates how teatro cultivated among participants courage to confront injustice, while also shedding light on the complexities teacher educators may face when attempting to facilitate teacher learning, particularly when such learning is centered on equity and justice.     

Quantum-Inspired Blockchain-Based Cybersecurity: Securing Smart Edge Utilities in IoT-Based Smart Cities

Blockchain plays a vital task in cybersecurity. With the exerted efforts for realising large-scale quantum computers, most current cryptographic mechanisms may be hacked. Accordingly, we need a quantum tool utilised for designing blockchain frameworks to have the ability to be executed in the level of digital computers and resist the probable attacks from both digital and quantum computers. Quantum walks may be utilised as a quantum-inspired model for designing new cryptographic algorithms. In this paper, we present a new authentication and encryption protocol based on quantum-inspired quantum walks (QIQW). The proposed protocol is utilized to build a blockchain framework for secure data transmission among IoT devices. Instead of using classical cryptographic hash functions, quantum hash functions based on QIQW are employed for linking blocks of the chain. The main advantages of the presented framework are helping IoT nodes to effectively share their data with other nodes and full control of their records. Security analysis demonstrates that our proposed protocol can defend against message attack and impersonation attacks, thus ensuring secure transmission of data among IoT devices.     

Development,validation, and factorial comparison of the McGill Self-Efficacy of Learners For Inquiry Engagement (McSELFIE) survey in natural science disciplines

Sociocognitive theory [Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice Hall; Bandura, A. (1989). Human agency in social cognitive theory. American Psychologist, 44, 1175–1184. doi:10.1037/0003-066x.44.9.1175; Bandura, A. (1991). Social cognitive theory of self-regulation. Organizational Behavior and Human Decision Processes, 50, 248–287. doi:10.1016/0749-5978(91)90022-L] accords high importance to the mechanisms of human agency and how they are exercised through self-efficacy. In this paper, we developed and validated the McGill Self-Efficacy For Inquiry Engagement (McSELFIE) instrument with undergraduate students in natural science disciplines. We defined inquiry engagement as carrying out the practices of science (POS) that are supported by students’ personality characteristics (SPCs) and that result in achieving inquiry-learning outcomes (ILOs). Based on these theoretical perspectives, the McSELFIE is a 60-item, learner-focused survey that addresses three components that are theoretically important for engaging in scientific inquiry: (a) SPCs, (b) ILOs, and (c) POS. Evidence for construct and content validity were obtained by using experts’ judgments and confirmatory factor analysis with a sample of 110 undergraduate students enrolled in science disciplines. Internal consistency of the factors and instrument was also examined. The McSELFIE instrument is a reliable and valid instrument for measuring science undergraduate students’ self-efficacy for inquiry engagement. Matched pairs analyses were conducted among the instruments’ factors. Students reported the highest self-efficacy for openness, applying knowledge, and carrying out investigations. Students reported the lowest self-efficacy for extraversion, understanding metacognitive knowledge, and planning investigations. Theoretical and practical implications are discussed.     

Brain type natriuretic peptide (BNP)—A marker of new millennium in diagnosis of congestive heart failure

The burden of disease in patients with congestive heart failure is high. The future of BNP looks promising as it may be a better diagnostic tool for the diagnosis of CHF in developing countries in new millennium. Natriuretic peptide hormones, a family of vasoactive peptides with many favourable physiological properties, have emerged as important contenders for development of diagnostic tools and therapeutic agents in cardiovascular disease. Measurement of B-type natriuretic peptide has become as an easy-to-perform bedside test. The clinical and diagnostic significance of the measurement of plasma Nt-proBNP in the diseases of the cardiovascular system with particular emphasis on the assessment of patients with heart failure and their effects on predicting survival rate. The plasma levels of Nt-proBrain Natriuretic peptide responds more vigorously after myocardial infarction than those of other natriuretic peptides. This article is an attempt to give a short overview on the utility of BNP-blood levels for the diagnosis and treatment of heart failure     

Library Anxiety among Undergraduate Students: A Comparative Study on Egypt and Saudi Arabia

The purpose of this paper is to report the findings of a study of library anxiety among a group of Arab students in Saudi Arabia and Egypt. The paper also investigated the factors that affect the students' level of anxiety while using academic libraries. The study tried to compare the difference in the level of anxiety in the two countries using a scale (LLPB) developed by the researchers which fit the culture in the Arab region. The study adopted a mixed methods approach. Semi-structured interviews were conducted with several students in Saudi Arabia and Egypt to determine the main factors that lead to having a level of anxiety in the libraries. In the second stage, a questionnaire was sent to students to measure what factors have a greater impact on the level of anxiety. The data showed that Egyptian students are more anxious about using the libraries than the Saudi students. The results also indicated that there is a need to train students on how to use the libraries and also change students' perception regarding the library to reduce the level of anxiety. This study was conducted in Egypt and Saudi Arabia the level of library anxiety and the factors that may affect the students may vary in other countries.