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2023

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An Evaluation Of Online Training Effectiveness And Pre-Service And In-Service Teacher Satisfaction: A Case Study From Nigeria, Laila Mohebi, Alanood Alshamsi, Mariam Alhammadi, Fatima Almohsen Dec 2023

An Evaluation Of Online Training Effectiveness And Pre-Service And In-Service Teacher Satisfaction: A Case Study From Nigeria, Laila Mohebi, Alanood Alshamsi, Mariam Alhammadi, Fatima Almohsen

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This study evaluates the perceptions of 122 pre-service and in-service Nigerian teachers on adopting an online training module during the COVID-19 pandemic, a period marked by significant educational challenges and shifts. Employing a qualitative approach through open-ended online questions, it delves into the factors critical to enhancing online training effectiveness. Key findings highlight the importance of training in imparting theoretical knowledge and practical skills, the quality and relevance of content, interactivity, practical examples, and appropriate video length. These align with existing literature, underscoring the effectiveness of online training in challenging times. Significantly, nearly all participants expressed satisfaction with the training. …

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Abdominal Volume Index, Waist-To-Height Ratio, And Waist Circumference Are Optimal Predictors Of Cardiometabolic Abnormalities In A Sample Of Lebanese Adults: A Cross-Sectional Study, Myriam Abboud, Suzan Haidar, Nadine Mahboub, Dimitrios Papandreou, Rana Rizk Dec 2023

Abdominal Volume Index, Waist-To-Height Ratio, And Waist Circumference Are Optimal Predictors Of Cardiometabolic Abnormalities In A Sample Of Lebanese Adults: A Cross-Sectional Study, Myriam Abboud, Suzan Haidar, Nadine Mahboub, Dimitrios Papandreou, Rana Rizk

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The prevalence of cardiometabolic abnormalities is high globally. This is concerning since these abnormalities increase the risk of morbidity and mortality. Using noninvasive, low-cost, and ethnic-specific anthropometric indices is crucial for widespread screening and early detection of cardiometabolic abnormalities. In this cross-sectional study, we enrolled 221 Lebanese participants (62.9% females; mean age: 43.36 ± 16.05 years; mean body mass index (BMI): 28.43 ± 6.10 Kg/m2). The main outcome measure was cardiometabolic abnormality (CMA), defined as the presence of at least two or more non-anthropometric components of the Metabolic Syndrome. Several anthropometric indices: Total body fat percent, Conicity index, Abdominal volume …

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Combination Of Thymoquinone And Intermittent Fasting As A Treatment For Breast Cancer Implanted In Mice, Shatha Khaled Haif, Lina T. Al Kury, Wamidh H. Talib Dec 2023

Combination Of Thymoquinone And Intermittent Fasting As A Treatment For Breast Cancer Implanted In Mice, Shatha Khaled Haif, Lina T. Al Kury, Wamidh H. Talib

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Breast cancer stands out as a particularly challenging form of cancer to treat among various types. Traditional treatment methods have been longstanding approaches, yet their efficacy has diminished over time owing to heightened toxicity, adverse effects, and the emergence of multi-drug resistance. Nevertheless, a viable solution has emerged through the adoption of a complementary treatment strategy utilizing natural substances and the incorporation of intermittent fasting to enhance therapeutic outcomes. This study aimed to assess the anticancer activity of thymoquinone (TQ), intermittent fasting, and their combination using in vivo and in vitro methods. The anti-proliferative activity of TQ and fasting (glucose/serum …

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Traffic Congestion Analysis Using Sir Epidemic Model, Zani Anjani Rafsanjani, Ratna Herdiana, R Heru Tjahjana, Yogi Ahmad Erlangga Dec 2023

Traffic Congestion Analysis Using Sir Epidemic Model, Zani Anjani Rafsanjani, Ratna Herdiana, R Heru Tjahjana, Yogi Ahmad Erlangga

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In this work, we propose a mathematical model to represent traffic congestion in the street under some consideration. A congestion problem in a city highway becomes a critical issue since congestion at one point affected congestion propagation on the other points. We focus on the propagation of traffic propagation by adopting the concept of disease spread using the SIR model. We consider that the disease in traffic problems is congestion. Meanwhile, vehicles that enter the highway are susceptible to congestion. In contrast, vehicles free from traffic jams represent individuals free from disease. The SIR model can explain the spread of …

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Rolling The Crypto Dice: The Interplay Of Legal Environments, Market Uncertainty, And Gambling Attitudes On Users’ Behavioral Intentions, Ayman Abdalmajeed Alsmadi, Ahmed Shuhaiber, Khaled Saleh Al-Omoush Dec 2023

Rolling The Crypto Dice: The Interplay Of Legal Environments, Market Uncertainty, And Gambling Attitudes On Users’ Behavioral Intentions, Ayman Abdalmajeed Alsmadi, Ahmed Shuhaiber, Khaled Saleh Al-Omoush

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The high volatility and inherent high-risk nature of cryptocurrency investments promote the study of the determinants of value perception and the various factors influencing individuals’ intentions regarding whether to adopt, abstain from, or continue their investments in these dynamic cryptocurrency markets. The main aim of this study is to examine the determinants of behavioral intention to continue using cryptocurrencies. In addition, it is aimed at exploring the effect of gambling attitudes on the perceived benefits and legal environment in the cryptocurrency context. An online questionnaire was developed in order to gather data from 258 respondents in the United Arab Emirates …

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Public Mental Health Through Social Media In The Post Covid-19 Era, Deepika Sharma, Jaiteg Singh, Babar Shah, Farman Ali, Ahmad Ali Alzubi, Mallak Ahmad Alzubi Dec 2023

Public Mental Health Through Social Media In The Post Covid-19 Era, Deepika Sharma, Jaiteg Singh, Babar Shah, Farman Ali, Ahmad Ali Alzubi, Mallak Ahmad Alzubi

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Social media is a powerful communication tool and a reflection of our digital environment. Social media acted as an augmenter and influencer during and after COVID-19. Many of the people sharing social media posts were not actually aware of their mental health status. This situation warrants to automate the detection of mental disorders. This paper presents a methodology for the detection of mental disorders using micro facial expressions. Micro-expressions are momentary, involuntary facial expressions that can be indicative of deeper feelings and mental states. Nevertheless, manually detecting and interpreting micro-expressions can be rather challenging. A deep learning HybridMicroNet model, based …

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Methicillin Resistant Staphylococcus Aureus In The United Arab Emirates: A 12-Year Retrospective Analysis Of Evolving Trends, Jens Thomsen, Najiba M. Abdulrazzaq, The Uae Amr Surveillance Consortium, Godfred Antony Menezes, Carole Ayoub Moubareck, Dean B. Everett, Abiola Senok Dec 2023

Methicillin Resistant Staphylococcus Aureus In The United Arab Emirates: A 12-Year Retrospective Analysis Of Evolving Trends, Jens Thomsen, Najiba M. Abdulrazzaq, The Uae Amr Surveillance Consortium, Godfred Antony Menezes, Carole Ayoub Moubareck, Dean B. Everett, Abiola Senok

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IntroductionMethicillin resistant Staphylococcus aureus (MRSA) is a major contributor to the global burden of antimicrobial resistance (AMR). As MRSA continues to evolve, the need for continued surveillance to evaluate trends remains crucial. This study was carried out to assess MRSA trends in the United Arab Emirates (UAE) based on analysis of data from the national AMR surveillance program.MethodsWe carried out a 12-year (2010–2021) retrospective analysis of MRSA demographic and microbiological data collected as part of the UAE national AMR surveillance program. Participating centers from across the country routinely submit AMR surveillance data collected by trained personnel to the National AMR …

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Carbapenem Resistant Enterobacterales In The United Arab Emirates: A Retrospective Analysis From 2010 To 2021, Jens Thomsen, Najiba M. Abdulrazzaq, The Uae Amr Surveillance Consortium, Dean B. Everett, Godfred Antony Menezes, Abiola Senok, Carole Ayoub Moubareck Dec 2023

Carbapenem Resistant Enterobacterales In The United Arab Emirates: A Retrospective Analysis From 2010 To 2021, Jens Thomsen, Najiba M. Abdulrazzaq, The Uae Amr Surveillance Consortium, Dean B. Everett, Godfred Antony Menezes, Abiola Senok, Carole Ayoub Moubareck

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Carbapenem-resistant Enterobacterales (CRE) are spreading in the United Arab Emirates (UAE) where their dissemination is facilitated by international travel, trade, and tourism. The objective of this study is to describe the longitudinal changes of CRE as reported by the national AMR surveillance system of the UAE. In this study, we retrospectively describe CRE isolated from 317 surveillance sites, including 87 hospitals and 230 centers/clinics from 2010 to 2021. The associated clinical, demographic, and microbiological characteristics are presented by relying on the UAE national AMR surveillance program. Data was analyzed using WHONET microbiology laboratory database software (http://www.whonet.org). A total of 14,593 …

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Boosting The Item-Based Collaborative Filtering Model With Novel Similarity Measures, Hassan I. Abdalla, Ali A. Amer, Yasmeen A. Amer, Loc Nguyen, Basheer Al-Maqaleh Dec 2023

Boosting The Item-Based Collaborative Filtering Model With Novel Similarity Measures, Hassan I. Abdalla, Ali A. Amer, Yasmeen A. Amer, Loc Nguyen, Basheer Al-Maqaleh

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Collaborative filtering (CF), one of the most widely employed methodologies for recommender systems, has drawn undeniable attention due to its effectiveness and simplicity. Nevertheless, a few papers have been published on the CF-based item-based model using similarity measures than the user-based model due to the model's complexity and the time required to build it. Additionally, the substantial shortcomings in the user-based measurements when the item-based model is taken into account motivated us to create stronger models in this work. Not to mention that the common trickiest challenge is dealing with the cold-start problem, in which users' history of item-buying behavior …

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Software Jimenae Allows Efficient Dynamic Simulations Of Boolean Networks, Centrality And System State Analysis, Martin Kaltdorf, Tim Breitenbach, Stefan Karl, Maximilian Fuchs, David Komla Kessie, Eric Psota, Martina Prelog, Edita Sarukhanyan, Regina Ebert, Franz Jakob, Gudrun Dandekar, Muhammad Naseem, Chunguang Liang, Thomas Dandekar Dec 2023

Software Jimenae Allows Efficient Dynamic Simulations Of Boolean Networks, Centrality And System State Analysis, Martin Kaltdorf, Tim Breitenbach, Stefan Karl, Maximilian Fuchs, David Komla Kessie, Eric Psota, Martina Prelog, Edita Sarukhanyan, Regina Ebert, Franz Jakob, Gudrun Dandekar, Muhammad Naseem, Chunguang Liang, Thomas Dandekar

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The signal modelling framework JimenaE simulates dynamically Boolean networks. In contrast to SQUAD, there is systematic and not just heuristic calculation of all system states. These specific features are not present in CellNetAnalyzer and BoolNet. JimenaE is an expert extension of Jimena, with new optimized code, network conversion into different formats, rapid convergence both for system state calculation as well as for all three network centralities. It allows higher accuracy in determining network states and allows to dissect networks and identification of network control type and amount for each protein with high accuracy. Biological examples demonstrate this: (i) High plasticity …

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Ability Of Detecting And Willingness To Share Fake News, K. Peren Arin, Deni Mazrekaj, Marcel Thum Dec 2023

Ability Of Detecting And Willingness To Share Fake News, K. Peren Arin, Deni Mazrekaj, Marcel Thum

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By conducting large-scale surveys in Germany and the United Kingdom, we investigate the individual-level determinants of the ability to detect fake news and the inclination to share it. We distinguish between deliberate and accidental sharing of fake news. We document that accidental sharing is much more common than deliberate sharing. Furthermore, our results indicate that older, male, high-income, and politically left-leaning respondents better detect fake news. We also find that accidental sharing decreases with age and is more prevalent among right-leaning respondents. Deliberate sharing of fake news is more prevalent among younger respondents in the United Kingdom. Finally, our results …

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Bimetallic Bi/Cu0-Catalyzed Persulfate-Based Advanced Oxidation Processes Towards Clofibric Acid Degradation In Wastewater, Jibran Iqbal, Noor S. Shah, Javed Ali Khan, Mohamed A. Habila, Grzegorz Boczkaj, Asam Shad, Yousef Nazzal, Ahmed A. Al-Taani, Fares Howari Dec 2023

Bimetallic Bi/Cu0-Catalyzed Persulfate-Based Advanced Oxidation Processes Towards Clofibric Acid Degradation In Wastewater, Jibran Iqbal, Noor S. Shah, Javed Ali Khan, Mohamed A. Habila, Grzegorz Boczkaj, Asam Shad, Yousef Nazzal, Ahmed A. Al-Taani, Fares Howari

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Clofibric acid (CFA), an important blood-lipid regulatory drug is an emerging organic pollutant and widely reported in water resources. A novel bimetallic, bismuth/zero valent cupper (Bi/Cu0) catalyst was prepared which showed better physiological, structural, and catalytic properties than Cu0. The Bi/Cu0 effectively catalyzed persulfate (S2O82−) and caused 85% degradation of CFA. The Bi coupling improved reusability and stability of Cu0. The use of alcoholic and anionic radical scavengers and analyzing change in [S2O82−]0 proved that Bi/Cu0/S2O82− yield hydroxyl radicals (●OH) and sulfate radicals (SO4●–). The ●OH and SO4●– showed faster reaction with CFA, i.e., 4.65 × 109 and 3.82 × …

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Mental Illness Stigma As A Moderator In The Relationship Between Religiosity And Help-Seeking Attitudes Among Muslims From 16 Arab Countries, Feten Fekih-Romdhane, Suhad Daher-Nashif, Manel Stambouli, Amthal Alhuwailah, Mai Helmy, Hanaa Ahmed Mohamed Shuwiekh, Cheikh Mohamed Fadel Mohamed Lemine, Eqbal Radwan, Juliann Saquib, Nazmus Saquib, Mirna Fawaz, Btissame Zarrouq, Abdallah Y. Naser, Sahar Obeid, Maan Saleh, Sanad Haider, Lahmer Miloud, Manal Badrasawi, Ayman Hamdan-Mansour, Mariapaola Barbato, Aisha Motwakil Bakhiet, Najat Sayem Khalil, Samir Adawi, Fatheya Grein, Alexandre Andrade Loch, Majda Cheour, Souheil Hallit Dec 2023

Mental Illness Stigma As A Moderator In The Relationship Between Religiosity And Help-Seeking Attitudes Among Muslims From 16 Arab Countries, Feten Fekih-Romdhane, Suhad Daher-Nashif, Manel Stambouli, Amthal Alhuwailah, Mai Helmy, Hanaa Ahmed Mohamed Shuwiekh, Cheikh Mohamed Fadel Mohamed Lemine, Eqbal Radwan, Juliann Saquib, Nazmus Saquib, Mirna Fawaz, Btissame Zarrouq, Abdallah Y. Naser, Sahar Obeid, Maan Saleh, Sanad Haider, Lahmer Miloud, Manal Badrasawi, Ayman Hamdan-Mansour, Mariapaola Barbato, Aisha Motwakil Bakhiet, Najat Sayem Khalil, Samir Adawi, Fatheya Grein, Alexandre Andrade Loch, Majda Cheour, Souheil Hallit

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Background: Determining the potential barriers responsible for delaying access to care, and elucidating pathways to early intervention should be a priority, especially in Arab countries where mental health resources are limited. To the best of our knowledge, no previous studies have examined the relationship between religiosity, stigma and help-seeking in an Arab Muslim cultural background. Hence, we propose in the present study to test the moderating role of stigma toward mental illness in the relationship between religiosity and help-seeking attitudes among Muslim community people living in different Arab countries. Method: The current survey is part of a large-scale multinational collaborative …

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Role Of Authentication Factors In Fin-Tech Mobile Transaction Security, Habib Ullah Khan, Muhammad Sohail, Shah Nazir, Tariq Hussain, Babar Shah, Farman Ali Dec 2023

Role Of Authentication Factors In Fin-Tech Mobile Transaction Security, Habib Ullah Khan, Muhammad Sohail, Shah Nazir, Tariq Hussain, Babar Shah, Farman Ali

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Fin-Tech is the merging of finance and technology, to be considered a key term for technology-based financial operations and money transactions as far as Fin-Tech is concerned. In the massive field of business, mobile money transaction security is a great challenge for researchers. The user authentication schemes restrict the ability to enforce the authentication before the account can access and operate. Although authentication factors provide greater security than a simple static password, financial transactions have potential drawbacks because cybercrime expands the opportunities for fraudsters. The most common enterprise challenge is mobile-based user authentication during transactions, which addresses the security issues …

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On Hierarchical Clustering-Based Approach For Rddbs Design, Hassan I. Abdalla, Ali A. Amer, Sri Devi Ravana Dec 2023

On Hierarchical Clustering-Based Approach For Rddbs Design, Hassan I. Abdalla, Ali A. Amer, Sri Devi Ravana

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Distributed database system (DDBS) design is still an open challenge even after decades of research, especially in a dynamic network setting. Hence, to meet the demands of high-speed data gathering and for the management and preservation of huge systems, it is important to construct a distributed database for real-time data storage. Incidentally, some fragmentation schemes, such as horizontal, vertical, and hybrid, are widely used for DDBS design. At the same time, data allocation could not be done without first physically fragmenting the data because the fragmentation process is the foundation of the DDBS design. Extensive research have been conducted to …

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Algorithm Selection Using Edge Ml And Case-Based Reasoning, Rahman Ali, Muhammad Sadiq Hassan Zada, Asad Masood Khatak, Jamil Hussain Dec 2023

Algorithm Selection Using Edge Ml And Case-Based Reasoning, Rahman Ali, Muhammad Sadiq Hassan Zada, Asad Masood Khatak, Jamil Hussain

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In practical data mining, a wide range of classification algorithms is employed for prediction tasks. However, selecting the best algorithm poses a challenging task for machine learning practitioners and experts, primarily due to the inherent variability in the characteristics of classification problems, referred to as datasets, and the unpredictable performance of these algorithms. Dataset characteristics are quantified in terms of meta-features, while classifier performance is evaluated using various performance metrics. The assessment of classifiers through empirical methods across multiple classification datasets, while considering multiple performance metrics, presents a computationally expensive and time-consuming obstacle in the pursuit of selecting the optimal …

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Predicting New Crescent Moon Visibility Applying Machine Learning Algorithms, Murad Al-Rajab, Samia Loucif, Yazan Al Risheh Dec 2023

Predicting New Crescent Moon Visibility Applying Machine Learning Algorithms, Murad Al-Rajab, Samia Loucif, Yazan Al Risheh

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The world's population is projected to grow 32% in the coming years, and the number of Muslims is expected to grow by 70%—from 1.8 billion in 2015 to about 3 billion in 2060. Hijri is the Islamic calendar, also known as the lunar Hijri calendar, which consists of 12 lunar months, and it is tied to the Moon phases where a new crescent Moon marks the beginning of each month. Muslims use the Hijri calendar to determine important dates and religious events such as Ramadan, Haj, Muharram, etc. Till today, there is no consensus on deciding on the beginning of …

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Learning Heterogeneous Subgraph Representations For Team Discovery, Radin Hamidi Rad, Hoang Nguyen, Feras Al-Obeidat, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, Fattane Zarrinkalam Dec 2023

Learning Heterogeneous Subgraph Representations For Team Discovery, Radin Hamidi Rad, Hoang Nguyen, Feras Al-Obeidat, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, Fattane Zarrinkalam

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The team discovery task is concerned with finding a group of experts from a collaboration network who would collectively cover a desirable set of skills. Most prior work for team discovery either adopt graph-based or neural mapping approaches. Graph-based approaches are computationally intractable often leading to sub-optimal team selection. Neural mapping approaches have better performance, however, are still limited as they learn individual representations for skills and experts and are often prone to overfitting given the sparsity of collaboration networks. Thus, we define the team discovery task as one of learning subgraph representations from a heterogeneous collaboration network where the …

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Customer Churn Prediction Using Composite Deep Learning Technique, Asad Khattak, Zartashia Mehak, Hussain Ahmad, Muhammad Usama Asghar, Muhammad Zubair Asghar, Aurangzeb Khan Dec 2023

Customer Churn Prediction Using Composite Deep Learning Technique, Asad Khattak, Zartashia Mehak, Hussain Ahmad, Muhammad Usama Asghar, Muhammad Zubair Asghar, Aurangzeb Khan

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Customer churn, a phenomenon that causes large financial losses when customers leave a business, makes it difficult for modern organizations to retain customers. When dissatisfied customers find their present company's services inadequate, they frequently migrate to another service provider. Machine learning and deep learning (ML/DL) approaches have already been used to successfully identify customer churn. In some circumstances, however, ML/DL-based algorithms lacks in delivering promising results for detecting client churn. Previous research on estimating customer churn revealed unexpected forecasts when utilizing machine learning classifiers and traditional feature encoding methodologies. Deep neural networks were also used in these efforts to extract …

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Intelligent Biomedical Image Classification In A Big Data Architecture Using Metaheuristic Optimization And Gradient Approximation, Laila Almutairi, Ahed Abugabah, Hesham Alhumyani, Ahmed A. Mohamed Nov 2023

Intelligent Biomedical Image Classification In A Big Data Architecture Using Metaheuristic Optimization And Gradient Approximation, Laila Almutairi, Ahed Abugabah, Hesham Alhumyani, Ahmed A. Mohamed

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Medical imaging has experienced significant development in contemporary medicine and can now record a variety of biomedical pictures from patients to test and analyze the illness and its severity. Computer vision and artificial intelligence may outperform human diagnostic ability and uncover hidden information in biomedical images. In healthcare applications, fast prediction and reliability are of the utmost importance parameters to assure the timely detection of disease. The existing systems have poor classification accuracy, and higher computation time and the system complexity is higher. Low-quality images might impact the processing method, leading to subpar results. Furthermore, extensive preprocessing techniques are necessary …

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Antimicrobial Resistance In Streptococcus Pneumoniae: A Retrospective Analysis Of Emerging Trends In The United Arab Emirates From 2010 To 2021, Abiola Senok, Jens Thomsen, Najiba M. Abdulrazzaq, The Uae Amr Surveillance Consortium, Godfred Antony Menezes, Carole Ayoub Moubareck, Dean Everett Nov 2023

Antimicrobial Resistance In Streptococcus Pneumoniae: A Retrospective Analysis Of Emerging Trends In The United Arab Emirates From 2010 To 2021, Abiola Senok, Jens Thomsen, Najiba M. Abdulrazzaq, The Uae Amr Surveillance Consortium, Godfred Antony Menezes, Carole Ayoub Moubareck, Dean Everett

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Although pneumococcal conjugate vaccines (PCV) have been effective in reducing the burden of Streptococcus pneumoniae infections, there is a paucity of data on the relationship with antimicrobial resistance (AMR) trends in the Arabian Gulf region. This study was carried out to assess S. pneumoniae resistance trends in the United Arab Emirates (UAE) where PCV-13 vaccination was introduced in 2011. Retrospective analysis of S. pneumoniae demographic and microbiological data collected as part of the national AMR surveillance program from 2010 to 2021 was carried out. A survey of reporting sites and hand searching of annual reports of local health authorities was …

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Igniting Innovation: The Surge Of Youth Entrepreneurship In The Uae, Mouawiya Alawad Nov 2023

Igniting Innovation: The Surge Of Youth Entrepreneurship In The Uae, Mouawiya Alawad

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In recent years, the United Arab Emirates (UAE) has evolved into a global epicenter for innovation and startups, driven by a surge in entrepreneurial activities among its youth population. This transformation is fueled by a combination of government initiatives, a burgeoning startup culture, and changing perceptions of entrepreneurship. This article delves into the intricate evolution of youth entrepreneurship in the UAE, analyzing the key drivers behind this trend. The UAE's economic landscape and government initiatives form a robust foundation for its thriving entrepreneurial ecosystem. Favorable economic conditions, coupled with a commitment to diversification and business-friendly policies, position the UAE as …

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Evaluating The Contamination By Indoor Dust In Dubai, Yousef Nazzal, Alina Bărbulescu, Manish Sharma, Fares Howari, Muhammad Naseem Nov 2023

Evaluating The Contamination By Indoor Dust In Dubai, Yousef Nazzal, Alina Bărbulescu, Manish Sharma, Fares Howari, Muhammad Naseem

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Nowadays, people spend most of their time indoors. Despite constantly cleaning these spaces, dust apparition cannot be avoided. Since dust can contain chemical elements that negatively impact people's health, we propose the analysis of the metals from the indoor dust component collected in different locations in Dubai, UAE. Multivariate statistics (correlation matrix, clustering) and quality indicators (QI)-Igeo, PI, EF, PLI, Nemerow-were used to assess the contamination level with different metals in the dust. We proposed two new QIs (CPI and AQI) and compared the results with those provided by the most used indices-PLI and Nemerow. It is shown that high …

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The Evaluation Of Internship In The Digital Information Age, Hussein Fakhry, Mathew Nicho, Emad Bataineh, Shini Girja Nov 2023

The Evaluation Of Internship In The Digital Information Age, Hussein Fakhry, Mathew Nicho, Emad Bataineh, Shini Girja

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This study evaluates the merits and challenges associated with onsite and online internships, focusing on their impact on objective achievement, intern-industry interaction, interdisciplinary learning, and globalization through the four-I's framework: intentional, interconnected, interdisciplinary, and international. By comparing the experiences of 21 students engaged in eight-week onsite programs alongside 21 online interns, the study finds that online internships offer flexibility and global accessibility, enhancing international skills. However, they score lower in intentionality, interactivity, and interdisciplinary learning. In contrast, onsite internships excel in providing hands-on experiences, real-time observation, teamwork, and the development of interdisciplinary skills development, albeit underutilizing international dimensions. Future investigations …

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Removal Of Organic Pollutants Through Hydroxyl Radical-Based Advanced Oxidation Processes, Zia Ul Haq Khan, Noor Shad Gul, Sana Sabahat, Jingyu Sun, Kamran Tahir, Noor Samad Shah, Nawshad Muhammad, Abdur Rahim, Muhammad Imran, Jibran Iqbal, Taj Malook Khan, Syed Khasim, Umar Farooq, Jianbo Wu Nov 2023

Removal Of Organic Pollutants Through Hydroxyl Radical-Based Advanced Oxidation Processes, Zia Ul Haq Khan, Noor Shad Gul, Sana Sabahat, Jingyu Sun, Kamran Tahir, Noor Samad Shah, Nawshad Muhammad, Abdur Rahim, Muhammad Imran, Jibran Iqbal, Taj Malook Khan, Syed Khasim, Umar Farooq, Jianbo Wu

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The use of Advance Oxidation Process (AOPs) has been extensively examined in order to eradicate organic pollutants. This review assesses the efficacy of photolysis, O3 based (O3/UV, O3/H2O2, O3/H2O2/UV, H2O2/UV, Fenton, Fenton-like, hetero-system) and sonochemical and electro-oxidative AOPs in this regard. The main purpose of this review and some suggestions for the advancement of AOPs is to facilitate the elimination of toxic organic pollutants. Initially proposed for the purification of drinking water in 1980, AOPs have since been employed for various wastewater treatments. AOPs technologies are essentially a process intensification through the use of hybrid methods for wastewater treatment, which …

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Towards Designing A Knowledge Sharing System For Higher Learning Institutions In The Uae Based On The Social Feature Framework, S. M. F. D. Syed Mustapha, Edmund Evangelista, Farhi Marir Nov 2023

Towards Designing A Knowledge Sharing System For Higher Learning Institutions In The Uae Based On The Social Feature Framework, S. M. F. D. Syed Mustapha, Edmund Evangelista, Farhi Marir

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Numerous ICT instruments, such as communication tools, social media platforms, and collaborative software, bolster and facilitate knowledge sharing activities. Determining the vital success factors for knowledge sharing within its unique context is argued to be essential before implementing it. Therefore, it is imperative to define domain-specific critical success factors when envisioning the design of a knowledge sharing system. This research paper introduces the blueprint for an Academic Knowledge Sharing System (AKSS), rooted in an essential success framework tailored to knowledge sharing to deploy within an academic institution. In this regard, an extensive exploration of the relevant literature led to the …

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Migrating 120,000 Legacy Publications From Several Systems Into A Current Research Information System Using Advanced Data Wrangling Techniques, Yrjö Lappalainen, Matti Lassila, Tanja Heikkilä, Jani Nieminen, Tapani Lehtilä Nov 2023

Migrating 120,000 Legacy Publications From Several Systems Into A Current Research Information System Using Advanced Data Wrangling Techniques, Yrjö Lappalainen, Matti Lassila, Tanja Heikkilä, Jani Nieminen, Tapani Lehtilä

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This article describes a complex CRIS (current research information system) implementation project involving the migration of around 120,000 legacy publication records from three different systems. The project, undertaken by Tampere University, encountered several challenges in data diversity, data quality, and resource allocation. To handle the extensive and heterogenous dataset, innovative approaches such as machine learning techniques and various data wrangling tools were used to process data, correct errors, and merge information from different sources. Despite significant delays and unforeseen obstacles, the project was ultimately successful in achieving its goals. The project served as a valuable learning experience, highlighting the importance …

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Gvcs And Environmental Sustainability In Mena: Do Digitalization And Institutions Make A Difference?, Suzanna Elmassah, Eslam A. Hassanein Nov 2023

Gvcs And Environmental Sustainability In Mena: Do Digitalization And Institutions Make A Difference?, Suzanna Elmassah, Eslam A. Hassanein

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The advent of digitalization has brought about profound changes in the global value chain, raising significant concerns about environmental sustainability. However, the environmental consequences resulting from the interplay between global value chain participation and digitalization have not been adequately explored, particularly in the Middle East and North Africa region (MENA). To address this gap, our research delves into the impact of global value chain participation on environmental sustainability in 15 MENA countries from 1996 to 2018. We also investigate the moderating effects of two critical policy variables: digitization and institutional quality, employing the SYS-GMM Panel method and Random Effects method. …

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Prepared To Teach Using Technology, But Not Prepared To Teach Online: A Case Of Early Childhood Pre-Service Teachers In The United Arab Emirates, Lawrence Meda, Laila Mohebi Nov 2023

Prepared To Teach Using Technology, But Not Prepared To Teach Online: A Case Of Early Childhood Pre-Service Teachers In The United Arab Emirates, Lawrence Meda, Laila Mohebi

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The global pandemic of COVID-19 has affected teacher training institutions across the globe and many of the pre-service teachers had to complete their field experiences online. The purpose of this article is to explore pre-service teachers’ preparedness to teach online, in the early childhood phase using technology. This paper is guided by two critical questions which focused on pre-service teachers’ experiences of conducting their field experience online and preparedness to teach young children using technology. Social Learning Theory was adopted as the theoretical framework for conducting the present study. The study was conducted using a qualitative case study within an …

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Marine Mammals Of The Emirates: Whales, Dolphins, Porpoises And Dugongs, Ada Natoli, Shamsa Al Hameli Nov 2023

Marine Mammals Of The Emirates: Whales, Dolphins, Porpoises And Dugongs, Ada Natoli, Shamsa Al Hameli

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Marine mammals have always captured the imagination of the people they share their environment with, but few people know that various species populate the waters of the United Arab Emirates (UAE). The world’s second largest population of dugongs reside in the Abu Dhabi Emirate, while two species of dolphins (Indian Ocean humpback and Indo-Pacific bottlenose dolphin) and the elusive finless porpoises inhabit Abu Dhabi and Dubai waters. Facing both the Sea of Oman and the Arabian Gulf, the UAE hosts a total of 18 species of marine mammals. These include the biggest animal on Earth, the blue whale, Bryde’s, humpback …

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