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Chemical Hyperstructures For Neptunium, Rubidium, And Plutonium
The notion of hyperstructures is a generalization of algebraic structures. This notion was first introduced by Marty in 1934. Hyperstructures have many applications, such as in biology, physics, cryptography, and chemistry. This paper focuses on the application of hyperstructures in chemistry, especially in chemical reactions. In 2022, Al-Tahan and Davvaz finalized the results of chemical hyperstructures for chemical elements that have four oxidation states. Motivated by this research, this paper aims to investigate algebraic hyperstructures in some elements that have five oxidation states, that is, neptunium, rubidium, and plutonium. Furthermore, the chemical interpretation of these chemical elements also is provided in this paper. (c) 2025 University of Kashan Press. All rights reserved
Measuring The Effectiveness Of Internship Programs In Aligning Education With Industry During Covid-19: A Case Study
This study aimed to analyze the effectiveness of internship programs in aligning education with industry during the COVID-19 pandemic. This research focuses on the internship outcomes of College of Communication and Media Sciences (CCMS) students in various UAE organizations. This study employs Kirkpatrick\u27s framework and analyzes 64 student reports over ten weeks to understand the strengths and areas of improvement in aligning academic instruction with real- world applications. The research focuses on the reaction and learning constructs in the alignment of theoretical teachings with practical experiences based on Kirkpatrick\u27s framework. The study revealed that internships offer students a chance to gain practical experience in their field of study, and the CCMS internship program helps students gain professional skills that are difficult to teach in a classroom context. The findings of this study could help academic policymakers understand the relative strengths and weaknesses of different learning areas and refine and enhance internship offerings. The study underscores the significance of assessing the practical application of university education in the workplace and the benefits of internship experiences as a mandatory component of CCMS specialization academic programmes. The research demonstrates that the internship program provides students with hands-on experience in the media and communication sectors, enabling them to interact directly with industry professionals. Additionally, this study highlights the common challenges faced by internship students, including communication with supervisors, workload management, handling tasks beyond their current skill set, navigating limited workplace resources, adjusting to unfamiliar work environments, and refining time management skills
Zeolite omega-confined silver nanoparticles AgNPs for antibacterial activities and catalytic reduction of organic contaminants
Dyes have a significant impact on the environment, particularly in industrial sectors such as textile and food. One of the fastest reactions to reduce the toxicity of these pollutants is the reduction of dyes. This research employed a straightforward and efficient approach to confine omega zeolites with various concentrations of silver nanoparticles AgNPs (1, 2, 3, and 4 %). The resulting solids were used as catalysts to reduce methylene blue (MB), orange G (OG), methyl orange (MO) and 4-nitrophenol (4-NP) in a simple and binary system. It was found that AgNPs can be obtained at ultrafine sizes between 2 and 6 nm, with a high level of dispersibility on the zeolite surface. Both systems showed that the catalyst with a high AgNPs content was the most effective and selective with MB dye. The rate constant Kapp values (for a simple system) varied in the following sequence: 0.590 s−1, 0.0086 s−1, 0.0046 s−1, and 0.003 s−1 for the pollutants (MB), (MO), (OG), (4-NP), respectively. In binary systems containing 4-NP/MB, MO/MB, and OG/MB, the zeolite confined with 4 % AgNPs. Reusing the catalyst ZO(4 %) in several cycles showed good results in terms of conversion and stability. AgNPs-confined zeolite omega showed the most marked antibacterial effects, with inhibition zones of 36 mm and 31 mm achieved for Escherichia coli E.c and Pseudomonas aeruginosa P.a, respectively. These values were higher than those found with the antibiotic gentamicin
Assessing the impact of emojis in personality-imbued chatbots: insights from an academic advising perspective
Purpose This study investigates the impact of emoji use and user personality traits (conscientiousness vs extraversion) on user behavior in the context of academic advising. It uniquely considers the interaction between these chatbot characteristics and human users\u27 dominant personality traits (conscientiousness and extraversion). Design/methodology/approach A mixed-factor design experiment involving 153 university students was employed. Participants interacted with four different chatbot conditions: a conscientious bot and an extroverted bot, each with and without emojis. Findings The inclusion of emojis negatively influenced users\u27 intentions to use the chatbots but did not affect trust, perceived authenticity or intended engagement with the bots. Additionally, the students\u27 personality traits played a role in evaluating the different chatbot types. Originality/value This research introduces a novel approach by integrating emoji use and human personality traits into chatbot communication, focusing on academic advising. It examines the interaction effects of emojis and personality traits (conscientiousness and extraversion) on user behavior, also considering the user’s personality traits. This work enriches the human-computer interaction field and guides future chatbot development
The Legal Framework for B.O.T. Contracts in Egypt and the United Arab Emirates
Objective: This paper sheds light on the legal nature of B.O.T. contracts in light of the distinction between administrative contracts, private law contracts, and international investment contracts. The paper also provided an analysis of the B.O.T. contract and the different types of this type of public-private partnership contract. Theoretical Framework: The paper also aimed to analyze the legal frameworks regulating contracting with the B.O.T. system in Egypt and the United Arab Emirates. In addition, it will examine the constitutional framework for concession contracts in general and B.O.T. contracts. Considering this, the study relied on descriptive and analytical approaches. The study found that multiple laws in Egypt regulate and govern contracting with the B.O.T. system in the fields of roads, airports, electricity, and railways. In the United Arab Emirates, one law regulates contracting with the B.O.T. system in all fields. Method: In this research, we relied on the descriptive analytical method as a fundamental approach in monitoring and analyzing the concept of B.O.T. contracts. The content analysis approach was also relied upon in analyzing the legal and constitutional texts governing the contract of obligation in its traditional and modern sense, represented by the B.O.T. contract. Results and Discussion: Considering the contracts of public utility obligations under the B.O.T. system as administrative contracts, the disputes that arise regarding these contracts are subject to the jurisdiction of the administrative judiciary of the State Council. Research Implications: The contract for the concession of public facilities to the B.O.T. system is an administrative contract under what has been established in jurisprudence, as well as by what is stipulated in the law of the State Council, as this contract is considered a contract of concession, but in an advanced form of it. Originality/Value: This study contributes to the literature by explaining the legal framework for BOT contracts in the comparative context
Diversified firms and corporate labor policy: The role of managerial equity incentives
In this study, we examine whether managers of diversified firms make efficient labor investment decisions. Using a sample of 36,102 firm-year observations over the period 1989–2021, we find that managers of diversified firms make inefficient labor investment decisions. This finding is robust to a battery of sensitivity tests, alternative model specifications, and endogeneity concerns. We further document that the positive relationship between diversification and inefficient labor investment is long lasting, but is attenuated when managers of diversified firms are granted equity incentives. Our results suggest that self-seeking managers may strategically use diversification to obfuscate their suboptimal behaviors. Overall, our findings provide valuable insights into the complexities of resource allocation strategies and contribute to a broader understanding of corporate decision-making
Does Ewom Matter In S-Commerce? A Comparatives Study Between Kuwait And United Arab Emirates
PurposeThis study aims to explore the antecedent factors that directly and indirectly influence electronic word of mouth (eWoM) for social commerce (s-commerce) in two developing countries (e.g. Kuwait and the United Arab Emirates [UAE]) by extending social cognitive theory.Design/methodology/approachThis study uses a previous robust model (Rouibah et al., 2021) as theoretical background to investigate and compares the antecedents (trust in Instagram, perceived risks) on eWoM for s-commerce through the mediation of three mediators (perceived enjoyment, perceived value and customer satisfaction) among two Arab countries. Data was collected from Kuwait (n = 1,132) and the UAE (n = 190). Different statistical analyses and structured equation modeling-based analysis of moment structure are used to test the robustness of the research model.FindingsThis study found customer satisfaction to be most important factor that mediates the effect independent factors on eWoM for s-commerce in both countries. Surprisingly, perceived enjoyment has no effect, and trust in Instagram and perceived risks are the most important factors that are considered imperative for customer satisfaction and positive feedback.Research limitations/implicationsOne limitation of this study is that the author does not focus on the difference between the effects of textual and graphical information on customers\u27 decisions and trust in buying merchandise. Another limitation is that this study focuses on Kuwait and the UAE. Other Gulf Cooperation Council countries are also growing exponentially, and mobile and internet penetration rates are booming; they could be a trigger for more studies on whether differences occur among all of them.Practical implicationsThe first implication is that it is the first in its field to extend the effects of eWoM. To the best of the author\u27s knowledge, compared to the online research this study is unique because the authors examine six factors for eWoM in s-commerce using the Instagram platform as opposed to other platforms.Social implicationsThe third implication of this study is that the previous ones have applied eWoM to different subjects of e-commerce such as tourism and marketing but have concentrated less on s-commerce, where in-depth research is needed much more to explore factors and theories that explain human behavior.Originality/valueFurthermore, most of these studies have focused on the intention to use (Dincer and Dincer, 2023; X. Hu, Chen, Davison, and Liu, 2022; Zhou et al., 2023). However, the attention in this research is on the actual use
Enhanced removal of cationic dyes using copper-based MOF-graphene oxide composite: Synthesis, characterization and performance evaluation
HKUST-1, graphene oxide (GO), and their composite (HKUST-1/GO) were synthesized and characterized via FTIR, XRD, SEM, BET, and TGA. The composite was evaluated for the adsorption of Astrazon Pink FG, Cationic Red 3R, and Basic Yellow 28 dyes. Batch adsorption experiments were conducted to optimize key parameters, with maximum removal observed under the following conditions: AP FG (pH 9, contact time 80 min, 30 °C), CR 3R (pH 11, contact time 80 min, 30 °C), and BY 28 (pH 10, contact time 20 min, 30 °C). The HKUST-1/GO composite exhibited high removal efficiencies of 82.35 % (AP FG), 78.73 % (CR 3R), and 75.89 % (BY 28), with corresponding maximum adsorption capacities of 7.445 mg/g, 6.42 mg/g, and 5.58 mg/g, respectively. The adsorption followed a pseudo-second-order model and well described by Freundlich, Langmuir, Halsey, and Temkin isotherms models. Thermodynamic parameters confirmed spontaneous, exothermic dyes adsorption onto HKUST-1/GO, effectively treating industrial effluent
University Students\u27 Understanding And Utilization Of Food Labels: A Cross-Sectional Study
Introduction: This study is aimed at investigating Zayed University students\u27 knowledge, attitudes, and practices (KAPs) regarding food labels and at identifying key predictors of food label use through logistic regression analysis.Methods: This quantitative cross-sectional study used a validated questionnaire to elicit data on KAPs regarding the use of nutritional information and food labels. This study was conducted from January to May 2023 in the UAE among students from Zayed University. A total of 1153 students aged 18 and above from Zayed University participated in the study. They were recruited using snowball sampling. Descriptive statistics were obtained using the Statistical Package for the Social Sciences (SPSS) version 26.Results: We found a positive level of knowledge regarding food labeling (89.9%). Over half the participants viewed food labels positively as around 55.6% reported checking labels and 58.6% replaced food based upon labels while 67.0% checked calories, and 49.7% checked nutritional value. Approximately 60% made their choices based on cost. Over 80% reported checking expiry dates and avoiding expired items. Marital and employment status was the only variables to influence attitudes toward food labeling and checking labels.Conclusion: Our findings show that there is great potential for education regarding food labels to be effective in improving dietary practices
Revisiting Binary Code Authorship Analysis
Binary authorship analysis is a crucial step in malware reverse engineering, but the volume and complexity of the code exacerbate the challenge of this manually intensive task. Consequently, efforts have been made to develop reliable automated tools to facilitate malware authorship analysis; however, many challenges are associated with automated approaches. For instance, the compilation process may remove stylistic features present in the source code. This paper evaluates the features used in existing approaches by utilizing various datasets, including programs written for the Google Code Jam programming competition, student projects from programming courses at multiple universities, and content from GitHub repositories. Additionally, we examined the impact of statistical features on precision, recall, and the false positive rate of these methodologies. The evaluation results reveal that the accuracy of these approaches varies across different application domains and datasets, and some of the selected features appear unrelated to the author’s style, indicating that careful consideration is needed when applying this approach. Finally, using statistical features enhanced the precision and recall of existing approaches while reducing the false positive rate by 10–15%