Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

PDF

All Works

Series

2022

Articles 1 - 30 of 262

Full-Text Articles in Entire DC Network

Short Term Energy Consumption Forecasting Using Neural Basis Expansion Analysis For Interpretable Time Series, Abdul Khalique Shaikh, Amril Nazir, Imran Khan, Abdul Salam Shah Dec 2022

Short Term Energy Consumption Forecasting Using Neural Basis Expansion Analysis For Interpretable Time Series, Abdul Khalique Shaikh, Amril Nazir, Imran Khan, Abdul Salam Shah

All Works

Smart grids and smart homes are getting people's attention in the modern era of smart cities. The advancements of smart technologies and smart grids have created challenges related to energy efficiency and production according to the future demand of clients. Machine learning, specifically neural network-based methods, remained successful in energy consumption prediction, but still, there are gaps due to uncertainty in the data and limitations of the algorithms. Research published in the literature has used small datasets and profiles of primarily single users; therefore, models have difficulties when applied to large datasets with profiles of different customers. Thus, a smart …

Go to article

Elucidating The Effect Of Iron Acquisition Systems In Klebsiella Pneumoniae On Susceptibility To The Novel Siderophore-Cephalosporin Cefiderocol, Lana Daoud, Farah Al-Marzooq, Carole Ayoub Moubareck, Akela Ghazawi, Timothy Collyns Dec 2022

Elucidating The Effect Of Iron Acquisition Systems In Klebsiella Pneumoniae On Susceptibility To The Novel Siderophore-Cephalosporin Cefiderocol, Lana Daoud, Farah Al-Marzooq, Carole Ayoub Moubareck, Akela Ghazawi, Timothy Collyns

All Works

BACKGROUND: Cefiderocol (CFDC) is a novel siderophore-cephalosporin, effective against multidrug-resistant Gram-negative bacteria. As it has a siderophore side chain, it can utilize iron acquisition systems for penetration of the bacterial outer membrane. We aimed to elucidate the role of siderophores and iron uptake receptors in defining Klebsiella pneumoniae susceptibility to CFDC. METHODS: Initially, 103 K. pneumoniae strains were characterized for susceptibility to different antibiotics including CFDC. CFDC minimum inhibitory concentrations (MIC) were determined in iron-depleted and iron-enriched conditions. Iron uptake genes including siderophores, their receptors, ferric citrate (fecA) and iron uptake (kfu) receptors were detected by PCR in all the …

Go to article

Stereological Evidence Of Non-Selective Hippocampal Neurodegeneration, Igf-1 Depletion, And Behavioral Deficit Following Short Term Bilateral Adrenalectomy In Wistar Rats, Naserddine Hamadi, Ömür Gülsüm Deniz, Ahlam Said Abi Issa, Azim Ullah Shamsul Islam, Naheed Amir, Saeed Tariq Minhas, Nather Madjid, Fatima Khelifi-Touhami, Süleyman Kaplan, Abdu Adem Dec 2022

Stereological Evidence Of Non-Selective Hippocampal Neurodegeneration, Igf-1 Depletion, And Behavioral Deficit Following Short Term Bilateral Adrenalectomy In Wistar Rats, Naserddine Hamadi, Ömür Gülsüm Deniz, Ahlam Said Abi Issa, Azim Ullah Shamsul Islam, Naheed Amir, Saeed Tariq Minhas, Nather Madjid, Fatima Khelifi-Touhami, Süleyman Kaplan, Abdu Adem

All Works

The development of animal models to study cell death in the brain is a delicate task. One of the models, that was discovered in the late eighties, is the induction of neurodegeneration through glucocorticoid withdrawal by adrenalectomy in albino rats. Such a model is one of the few noninvasive models for studying neurodegeneration. In the present study, using stereological technique and ultrastructural examination, we aimed to investigate the impact of short-term adrenalectomy (2 weeks) on different hippocampal neuronal populations in Wistar rats. In addition, the underlying mechanism(s) of degeneration in these neurons were investigated by measuring the levels of insulin-like …

Go to article

How Much Should Or Can Science Impact Theological Formulations? An AshʿArī Perspective On Theology Of Nature, Shoaib Ahmed Malik, Nazif Muhtaroglu Dec 2022

How Much Should Or Can Science Impact Theological Formulations? An AshʿArī Perspective On Theology Of Nature, Shoaib Ahmed Malik, Nazif Muhtaroglu

All Works

There have been many developments in the field of science and religion over the past few decades. One such development is referred to as ‘theology of nature’ (ToN), which is the activity of building or revising theological frameworks in light of cont...

Go to article

A Deep Learning-Based Model For Plant Lesion Segmentation, Subtype Identification, And Survival Probability Estimation, Muhammad Shoaib, Babar Shah, Tariq Hussain, Akhtar Ali, Asad Ullah, Fayadh Alenezi, Tsanko Gechev, Farman Ali, Ikram Syed Dec 2022

A Deep Learning-Based Model For Plant Lesion Segmentation, Subtype Identification, And Survival Probability Estimation, Muhammad Shoaib, Babar Shah, Tariq Hussain, Akhtar Ali, Asad Ullah, Fayadh Alenezi, Tsanko Gechev, Farman Ali, Ikram Syed

All Works

Plants are the primary source of food for world’s population. Diseases in plants can cause yield loss, which can be mitigated by continual monitoring. Monitoring plant diseases manually is difficult and prone to errors. Using computer vision and artificial intelligence (AI) for the early identification of plant illnesses can prevent the negative consequences of diseases at the very beginning and overcome the limitations of continuous manual monitoring. The research focuses on the development of an automatic system capable of performing the segmentation of leaf lesions and the detection of disease without requiring human intervention. To get lesion region segmentation, we …

Go to article

Asian Powers And A Transitioning Gulf Order, Jonathan Fulton Dec 2022

Asian Powers And A Transitioning Gulf Order, Jonathan Fulton

All Works

The Gulf regional security complex is shaped by intense competition between regional states and US military preponderance. American security cooperation with the Gulf Cooperation Council member states has sustained a status quo that has allowed the Asian countries studied in this Special Issue – China, India, Japan, Singapore, and South Korea – to advance their interests without significant contributions to regional stability. As the US signals intentions to reduce its security commitments to the region, the perception of hegemonic retreat will influence the external partnerships Gulf states choose as well as the regional policies that these Asian countries will adopt. …

Go to article

Introduction, Li Chen Sim, Jonathan Fulton Dec 2022

Introduction, Li Chen Sim, Jonathan Fulton

All Works

This chapter sets the stage for the key themes found throughout this volume, first by framing the Gulf regional order within the context of a shift in international order. US signaling of a reduced role in the Gulf is leading policymakers both in the Gulf and beyond to recalibrate their thinking on regional affairs. It then builds upon literature on ‘Asianization’ to explain how and why the issue of Gulf order is increasingly a concern for policymakers in the Asian countries analyzed in this book. Finally, it provides a brief overview of each chapter.

Go to article

The Effectiveness Of Project-Based Learning On Emirati Undergraduate Students In A Microbiology Course, Carole Ayoub Moubareck Dec 2022

The Effectiveness Of Project-Based Learning On Emirati Undergraduate Students In A Microbiology Course, Carole Ayoub Moubareck

All Works

Purpose: A composting project was introduced into an undergraduate microbiology course, to evaluate its efficacy against traditional lecturing for teaching environmental sustainability. Design/methodology/approach: The research project was a semester-long intervention. Three groups of students participated in the study: a group of 47 female undergraduate students were involved in a composting project, a group of 43 female students were exposed to a traditional lecture and a group of 34 students were the control group. A pretest and a posttest were used, along with poster presentations for the composting project students. In addition, a questionnaire was used to examine students' attitudes toward …

Go to article

Smartphone Usage Before And During Covid-19: A Comparative Study Based On Objective Recording Of Usage Data, Khansa Chemnad, Sameha Alshakhsi, Mohamed Basel Almourad, Majid Altuwairiqi, Keith Phalp, Raian Ali Dec 2022

Smartphone Usage Before And During Covid-19: A Comparative Study Based On Objective Recording Of Usage Data, Khansa Chemnad, Sameha Alshakhsi, Mohamed Basel Almourad, Majid Altuwairiqi, Keith Phalp, Raian Ali

All Works

Most studies that claimed changes in smartphone usage during COVID-19 were based on self-reported usage data, e.g., that collected through a questionnaire. These studies were also limited to reporting the overall smartphone usage, with no detailed investigation of distinct types of apps. The current study investigated smartphone usage before and during COVID-19. Our study used a dataset from a smartphone app that objectively logged users’ activities, including apps accessed and each app session start and end time. These were collected during two periods: pre-COVID-19 (161 individuals with 77 females) and during COVID-19 (251 individuals with 159 females). We report on …

Go to article

Optimization And Enhancement Of Co2 Sequestration In Industrial Wastes For Environmental Applications, Maisa El Gamal, Ameera F. Mohammad Dec 2022

Optimization And Enhancement Of Co2 Sequestration In Industrial Wastes For Environmental Applications, Maisa El Gamal, Ameera F. Mohammad

All Works

This paper explores carbon capture and storage (CCS) through carbide lime waste (CLW), a by-product of acetylene production, under different conditions. This process is specifically designed to provide an onsite waste management solution for several industries that can easily be integrated into existing systems. In addition, the effect of the carbonation process on collected solids morphology and average particle size was studied. The structural and chemical characteristics of the carbonated carbide lime samples were investigated using X-ray diffraction, scanning electron microscopy, TGA analysis, and Raman spectroscopy. The effect of carbonation conditions on the total dissolved solids and change in pH …

Go to article

Climate Anxiety, Wellbeing And Pro-Environmental Action: Correlates Of Negative Emotional Responses To Climate Change In 32 Countries, Charles A. Ogunbode, Rouven Doran, Daniel Hanss, Maria Ojala, Katariina Salmela-Aro, Karlijn L. Van Den Broek, Navjot Bhullar, Sibele D. Aquino, Tiago Marot, Julie Aitken Schermer, Anna Wlodarczyk, Su Lu, Feng Jiang, Daniela Acquadro Maran, Radha Yadav, Rahkman Ardi, Razieh Chegeni, Elahe Ghanbarian, Somayeh Zand, Reza Najafi, Joonha Park, Takashi Tsubakita, Chee Seng Tan, John Bosco Chika Chukwuorji, Kehinde Aderemi Ojewumi, Hajra Tahir, Mai Albzour, Marc Eric S. Reyes Dec 2022

Climate Anxiety, Wellbeing And Pro-Environmental Action: Correlates Of Negative Emotional Responses To Climate Change In 32 Countries, Charles A. Ogunbode, Rouven Doran, Daniel Hanss, Maria Ojala, Katariina Salmela-Aro, Karlijn L. Van Den Broek, Navjot Bhullar, Sibele D. Aquino, Tiago Marot, Julie Aitken Schermer, Anna Wlodarczyk, Su Lu, Feng Jiang, Daniela Acquadro Maran, Radha Yadav, Rahkman Ardi, Razieh Chegeni, Elahe Ghanbarian, Somayeh Zand, Reza Najafi, Joonha Park, Takashi Tsubakita, Chee Seng Tan, John Bosco Chika Chukwuorji, Kehinde Aderemi Ojewumi, Hajra Tahir, Mai Albzour, Marc Eric S. Reyes

All Works

This study explored the correlates of climate anxiety in a diverse range of national contexts. We analysed cross-sectional data gathered in 32 countries (N = 12,246). Our results show that climate anxiety is positively related to rate of exposure to information about climate change impacts, the amount of attention people pay to climate change information, and perceived descriptive norms about emotional responding to climate change. Climate anxiety was also positively linked to pro-environmental behaviours and negatively linked to mental wellbeing. Notably, climate anxiety had a significant inverse association with mental wellbeing in 31 out of 32 countries. In contrast, it …

Go to article

Interacting With A Chatbot-Based Advising System: Understanding The Effect Of Chatbot Personality And User Gender On Behavior, Mohammad Amin Kuhail, Justin Thomas, Salwa Alramlawi, Syed Jawad Hussain Shah, Erik Thornquist Dec 2022

Interacting With A Chatbot-Based Advising System: Understanding The Effect Of Chatbot Personality And User Gender On Behavior, Mohammad Amin Kuhail, Justin Thomas, Salwa Alramlawi, Syed Jawad Hussain Shah, Erik Thornquist

All Works

Chatbots with personality have been shown to affect engagement and user subjective satisfaction. Yet, the design of most chatbots focuses on functionality and accuracy rather than an interpersonal communication style. Existing studies on personality-imbued chatbots have mostly assessed the effect of chatbot personality on user preference and satisfaction. However, the influence of chatbot personality on behavioral qualities, such as users’ trust, engagement, and perceived authenticity of the chatbots, is largely unexplored. To bridge this gap, this study contributes: (1) A detailed design of a personality-imbued chatbot used in academic advising. (2) Empirical findings of an experiment with students who interacted …

Go to article

Authenti-City, Luca Donner, Francesca Sorcinelli Dec 2022

Authenti-City, Luca Donner, Francesca Sorcinelli

All Works

The new global cities and megacities, which are generally planned and built as result of political decisions and fast economic growth, are considered artificial and "false" in their nature. This widespread perception arises from a cognitive dissociation between the notions of authenticity and identity in relation to memory, time and the city’s own sedimentation. This perceived dichotomy is illustrated in the literature across the disciplines. Building on the work of Calvino, Burckhardt, Augé, Jacobs, Lynch, and others, this paper examines this question through the lens of sociology, architecture, literature, and philosophy. The goal of this dissertation, by means of dialectics, …

Go to article

Some Properties Of Bazilevič Functions Involving Srivastava–Tomovski Operator, Daniel Breaz, Kadhavoor R. Karthikeyan, Elangho Umadevi, Alagiriswamy Senguttuvan Dec 2022

Some Properties Of Bazilevič Functions Involving Srivastava–Tomovski Operator, Daniel Breaz, Kadhavoor R. Karthikeyan, Elangho Umadevi, Alagiriswamy Senguttuvan

All Works

We introduce a new class of Bazilevič functions involving the Srivastava–Tomovski generalization of the Mittag-Leffler function. The family of functions introduced here is superordinated by a conic domain, which is impacted by the Janowski function. We obtain coefficient estimates and subordination conditions for starlikeness and Fekete–Szegö functional for functions belonging to the class.

Go to article

The Role Of Radiomics And Ai Technologies In The Segmentation, Detection, And Management Of Hepatocellular Carcinoma, Dalia Fahmy, Ahmed Alksas, Ahmed Elnakib, Ali Mahmoud, Heba Kandil, Ashraf Khalil, Mohammed Ghazal, Eric Van Bogaert, Sohail Contractor, Ayman El-Baz Dec 2022

The Role Of Radiomics And Ai Technologies In The Segmentation, Detection, And Management Of Hepatocellular Carcinoma, Dalia Fahmy, Ahmed Alksas, Ahmed Elnakib, Ali Mahmoud, Heba Kandil, Ashraf Khalil, Mohammed Ghazal, Eric Van Bogaert, Sohail Contractor, Ayman El-Baz

All Works

Hepatocellular carcinoma (HCC) is the most common primary hepatic neoplasm. Thanks to recent advances in computed tomography (CT) and magnetic resonance imaging (MRI), there is potential to improve detection, segmentation, discrimination from HCC mimics, and monitoring of therapeutic response. Radiomics, artificial intelligence (AI), and derived tools have already been applied in other areas of diagnostic imaging with promising results. In this review, we briefly discuss the current clinical applications of radiomics and AI in the detection, segmentation, and management of HCC. Moreover, we investigate their potential to reach a more accurate diagnosis of HCC and to guide proper treatment planning.

Go to article

Exploring Immersive Learning Experiences: A Survey, Mohammad Amin Kuhail, Areej Elsayary, Shahbano Farooq, Ahlam Alghamdi Dec 2022

Exploring Immersive Learning Experiences: A Survey, Mohammad Amin Kuhail, Areej Elsayary, Shahbano Farooq, Ahlam Alghamdi

All Works

Immersive technologies have been shown to significantly improve learning as they can simplify and simulate complicated concepts in various fields. However, there is a lack of studies that analyze the recent evidence-based immersive learning experiences applied in a classroom setting or offered to the public. This study presents a systematic review of 42 papers to understand, compare, and reflect on recent attempts to integrate immersive technologies in education using seven dimensions: application field, the technology used, educational role, interaction techniques, evaluation methods, and challenges. The results show that most studies covered STEM (science, technology, engineering, math) topics and mostly used …

Go to article

Associations Between Dietary Intake Of Vitamin D, Sun Exposure, And Generalized Anxiety Among College Women, Fatme Al Anouti, William B. Grant, Justin Thomas, Sharifa Alblooshi, Spyridon Karras Dec 2022

Associations Between Dietary Intake Of Vitamin D, Sun Exposure, And Generalized Anxiety Among College Women, Fatme Al Anouti, William B. Grant, Justin Thomas, Sharifa Alblooshi, Spyridon Karras

All Works

Vitamin D insufficiency impacts about half of the population worldwide. Almost one billion individuals across all ages and ethnicities suffer from vitamin D deficiency. Hypovitaminosis D is mainly related to lifestyle choices and habits, such as outdoor activities and food intake. Several studies have demonstrated a correlation between vitamin D status and anxiety symptoms. The main purpose of this study was to investigate the correlation between anxiety and factors including age, vitamin D deficiency, citizens, dietary and supplementary vitamin D intake, along with sun exposure, among a sample of female college students in the United Arab Emirates. A descriptive questionnaire, …

Go to article

Xanthium Spinosum L. Extracts Inhibit Breast Cancer In Mice By Apoptosis Induction And Immune System Modulation, Lina T. Al Kury, Zainab Taha, Asma Ismail Mahmod, Wamidh H. Talib Dec 2022

Xanthium Spinosum L. Extracts Inhibit Breast Cancer In Mice By Apoptosis Induction And Immune System Modulation, Lina T. Al Kury, Zainab Taha, Asma Ismail Mahmod, Wamidh H. Talib

All Works

Plants have been considered for many years as an important source of medicine to treat different diseases. Xanthium spinosum L. (Asteraceae, Compositae) is known for its diuretic, anti-inflammatory, and sedative effects. It is also used in the treatment of several ailments, such as cancer. In order to evaluate the anticancer and immunomodulatory activities, crude ethanol extract was prepared from the aerial part of X. spinosum and then fractionated using solvents with different polarities. As well, the chemical composition of X. spinosum extract and fractions were identified using LC-MS analysis. The antitumor effect of X. spinosum was assessed in both in …

Go to article

Mapping Agricultural Soil In Greenhouse Using An Autonomous Low-Cost Robot And Precise Monitoring, Amine Saddik, Rachid Latif, Fatma Taher, Abdelhafid El Ouardi, Mohamed Elhoseny Dec 2022

Mapping Agricultural Soil In Greenhouse Using An Autonomous Low-Cost Robot And Precise Monitoring, Amine Saddik, Rachid Latif, Fatma Taher, Abdelhafid El Ouardi, Mohamed Elhoseny

All Works

Our work is focused on developing an autonomous robot to monitor greenhouses and large fields. This system is designed to operate autonomously to extract useful information from the plants based on precise GPS localization. The proposed robot is based on an RGB camera for plant detection and a multispectral camera for extracting the different special bands for processing, and an embedded architecture integrating a Nvidia Jetson Nano, which allows us to perform the required processing. Our system uses a multi-sensor fusion to manage two parts of the algorithm. Therefore, the proposed algorithm was partitioned on the CPU-GPU embedded architecture. This …

Go to article

Tonga Volcanic Eruption And Tsunami, January 2022: Globally The Most Significant Opportunity To Observe An Explosive And Tsunamigenic Submarine Eruption Since Ad 1883 Krakatau, James P. Terry, James Goff, Nigel Winspear, Vena Pearl Bongolan, Scott Fisher Dec 2022

Tonga Volcanic Eruption And Tsunami, January 2022: Globally The Most Significant Opportunity To Observe An Explosive And Tsunamigenic Submarine Eruption Since Ad 1883 Krakatau, James P. Terry, James Goff, Nigel Winspear, Vena Pearl Bongolan, Scott Fisher

All Works

January 2022 witnessed the violent eruption of Hunga Tonga–Hunga Haʻapai submarine volcano in the South Pacific. With a volcanic explosivity index possibly equivalent to VEI 5, this represents the largest seaborne eruption for nearly one and a half centuries since Indonesia’s cataclysmic explosion of Krakatau in AD 1883. The Tongan eruption remarkably produced ocean-wide tsunamis, never documented before in the Pacific instrumental record. Volcanically generated tsunamis have been referred to as a ‘blind spot’ in our understanding of tsunami hazards, particularly in the Pacific Ocean. This event therefore presents a unique opportunity for investigating the multiple processes contributing to volcanic …

Go to article

Characterization Of Biochar Produced From Al Ghaf Tree For Co2 Capture, Imen Ben Salem, Maisa El Gamal, Manish Sharma, Fares M. Howari, Yousef Nazzal, Cijo Xavier, Fareeda M. Almenhali Dec 2022

Characterization Of Biochar Produced From Al Ghaf Tree For Co2 Capture, Imen Ben Salem, Maisa El Gamal, Manish Sharma, Fares M. Howari, Yousef Nazzal, Cijo Xavier, Fareeda M. Almenhali

All Works

Climate change, global warming, and rise in water levels are environmental problems caused by the high emissions of greenhouse gases, and the most harmed one is carbon dioxide. Biochar is a material produced by thermochemical conversions with oxygen-depleted conditions of organic materials, and this process calls pyrolysis. Recently, it has been evaluated as a carbon dioxide capture, and its porous structure, structural properties, and production methods are easy. Al Ghaf (Prosopis cineraria) tree is one of the United Arab Emirates’ national trees with a wide range of intriguing properties, including high nutritional value, medicinal/pharmaceutical potential, and biosorption. This paper focuses …

Go to article

Vitamin D Enhances Type I Ifn Signaling In Covid-19 Patients, Shirin Hafezi, Fatemeh Saheb Sharif-Askari, Narjes Saheb Sharif-Askari, Hawra Ali Hussain Alsayed, Habiba Alsafar, Fatme Al Anouti, Qutayba Hamid, Rabih Halwani Dec 2022

Vitamin D Enhances Type I Ifn Signaling In Covid-19 Patients, Shirin Hafezi, Fatemeh Saheb Sharif-Askari, Narjes Saheb Sharif-Askari, Hawra Ali Hussain Alsayed, Habiba Alsafar, Fatme Al Anouti, Qutayba Hamid, Rabih Halwani

All Works

The ability of Vitamin D (VitD) to modulate antiviral responses through induction of antimicrobial peptide is well established. However, the effect of VitD on host responses to SARS-CoV-2 is not well investigated. We here report the ability of VitD to enhance host IFN-alpha/beta (a/β) signaling both in vitro and among severe COVID-19 patients treated with VitD. Blood and saliva specimens were obtained from severe COVID-19 patients treated (43 patients), or not (37 patients), with vitD, during their stay in intensive care unit. Patients were followed up to 29 days following admission, and patient survival outcomes were collected. Higher activity levels …

Go to article

Association Between Depression, Happiness, And Sleep Duration: Data From The Uae Healthy Future Pilot Study, Mitha Al Balushi, Sara Al Balushi, Syed Javaid, Andrea Leinberger-Jabari, Fatma Al-Maskari, Mohammed Al-Houqani, Ayesha Al Dhaheri, Abdullah Al Nuaimi, Abdullah Al Junaibi, Naima Oumeziane, Marina Kazim, Aisha Al Hamiz, Muna Haji, Ayesha Al Hosani, Leila Abdel Wareth, Wael Almahmeed, Habiba Alsafar, Fatme Alanouti, Eiman Al Zaabi, Claire K. Inman, Omar El Shahawy, Michael Weitzman, Ann Marie Schmidt, Scott Sherman, Abdishakur Abdulle, Amar Ahmad, Raghib Ali Dec 2022

Association Between Depression, Happiness, And Sleep Duration: Data From The Uae Healthy Future Pilot Study, Mitha Al Balushi, Sara Al Balushi, Syed Javaid, Andrea Leinberger-Jabari, Fatma Al-Maskari, Mohammed Al-Houqani, Ayesha Al Dhaheri, Abdullah Al Nuaimi, Abdullah Al Junaibi, Naima Oumeziane, Marina Kazim, Aisha Al Hamiz, Muna Haji, Ayesha Al Hosani, Leila Abdel Wareth, Wael Almahmeed, Habiba Alsafar, Fatme Alanouti, Eiman Al Zaabi, Claire K. Inman, Omar El Shahawy, Michael Weitzman, Ann Marie Schmidt, Scott Sherman, Abdishakur Abdulle, Amar Ahmad, Raghib Ali

All Works

Background: The United Arab Emirates Healthy Future Study (UAEHFS) is one of the first large prospective cohort studies and one of the few studies in the region which examines causes and risk factors for chronic diseases among the nationals of the United Arab Emirates (UAE). The aim of this study is to investigate the eight-item Patient Health Questionnaire (PHQ-8) as a screening instrument for depression among the UAEHFS pilot participants. Methods: The UAEHFS pilot data were analyzed to examine the relationship between the PHQ-8 and possible confounding factors, such as self-reported happiness, and self-reported sleep duration (hours) after adjusting for …

Go to article

Efficient Framework For Brain Tumor Detection Using Different Deep Learning Techniques, Fatma Taher, Mohamed R. Shoaib, Heba M. Emara, Khaled M. Abdelwahab, Fathi E. Abd El-Samie, Mohammad T. Haweel Dec 2022

Efficient Framework For Brain Tumor Detection Using Different Deep Learning Techniques, Fatma Taher, Mohamed R. Shoaib, Heba M. Emara, Khaled M. Abdelwahab, Fathi E. Abd El-Samie, Mohammad T. Haweel

All Works

The brain tumor is an urgent malignancy caused by unregulated cell division. Tumors are classified using a biopsy, which is normally performed after the final brain surgery. Deep learning technology advancements have assisted the health professionals in medical imaging for the medical diagnosis of several symptoms. In this paper, transfer-learning-based models in addition to a Convolutional Neural Network (CNN) called BRAIN-TUMOR-net trained from scratch are introduced to classify brain magnetic resonance images into tumor or normal cases. A comparison between the pre-trained InceptionResNetv2, Inceptionv3, and ResNet50 models and the proposed BRAIN-TUMOR-net is introduced. The performance of the proposed model is …

Go to article

Implication Of Personalized Advertising On Personal Data: A Legal Analysis Of The Eu General Data Protection Regulation, Noor Ashikin Basarudin, Ridwan Adetunji Raji Nov 2022

Implication Of Personalized Advertising On Personal Data: A Legal Analysis Of The Eu General Data Protection Regulation, Noor Ashikin Basarudin, Ridwan Adetunji Raji

All Works

The accelerating emergence of personalised advertising is mostly driven by data. Accordingly, algorithmic profiling has become a constant experience for every online user in predicting preference and interest. The profiling process raises several issues of human privacy and personal data invasion. Therefore, this study adopts the doctrinal legal method through the analysis of International Instruments and the European Union General Data Protection Regulation as legal avenue to safeguard and protect online activities of the data subjects. The findings of this paper discuss the main principles to be observed by the data controller in ensuring the legality of personal data profiling. …

Go to article

An Effective Deep Learning Approach For The Classification Of Bacteriosis In Peach Leave, Muneer Akbar, Mohib Ullah, Babar Shah, Rafi Ullah Khan, Tariq Hussain, Farman Ali, Fayadh Alenezi, Ikram Syed, Kyung Sup Kwak Nov 2022

An Effective Deep Learning Approach For The Classification Of Bacteriosis In Peach Leave, Muneer Akbar, Mohib Ullah, Babar Shah, Rafi Ullah Khan, Tariq Hussain, Farman Ali, Fayadh Alenezi, Ikram Syed, Kyung Sup Kwak

All Works

Bacteriosis is one of the most prevalent and deadly infections that affect peach crops globally. Timely detection of Bacteriosis disease is essential for lowering pesticide use and preventing crop loss. It takes time and effort to distinguish and detect Bacteriosis or a short hole in a peach leaf. In this paper, we proposed a novel LightWeight (WLNet) Convolutional Neural Network (CNN) model based on Visual Geometry Group (VGG-19) for detecting and classifying images into Bacteriosis and healthy images. Profound knowledge of the proposed model is utilized to detect Bacteriosis in peach leaf images. First, a dataset is developed which consists …

Go to article

Representations Of Depression And Schizophrenia In The Community: The Role Of Illness And Risk Perceptions On Help-Seeking Intentions, David Dias Neto, Maria João Figueiras, Rita Sebastião Nov 2022

Representations Of Depression And Schizophrenia In The Community: The Role Of Illness And Risk Perceptions On Help-Seeking Intentions, David Dias Neto, Maria João Figueiras, Rita Sebastião

All Works

Illness perceptions (IPs) are important in understanding human reactions to illnesses, including mental health disorders. They influence risk perceptions and several variables relevant to the adjustment to a disorder, treatment seeking, and health outcomes. This study sought to compare IP, risk perception, and help-seeking intention for depression and schizophrenia in a community sample and to assess the mediating role of risk perception in the relationship between IP and help-seeking intention. A total of 380 adults participated in this study and filled out self-report measures of IPs, risk perceptions, and help-seeking intention. The previous diagnosis of depression was used to control …

Go to article

Recent Progress In Two Dimensional Mxenes For Photocatalysis: A Critical Review, Tahir Haneef, Kashif Rasool, Jibran Iqbal, Rab Nawaz, Muhammad Raza Ul Mustafa, Khaled A Mahmoud, Tapati Sarkar, Asif Shahzad Nov 2022

Recent Progress In Two Dimensional Mxenes For Photocatalysis: A Critical Review, Tahir Haneef, Kashif Rasool, Jibran Iqbal, Rab Nawaz, Muhammad Raza Ul Mustafa, Khaled A Mahmoud, Tapati Sarkar, Asif Shahzad

All Works

Transition metal carbides and nitrides, generally known as MXenes have emerged as an alternative to improve photocatalytic performance in renewable energy and environmental remediation applications because of their high surface area, tunable chemistry, and easily adjustable elemental compositions. MXenes have many interlayer groups, surface group operations, and a flexible layer spacing that makes them ideal catalysts. Over 30 different members of the MXenes family have been explored and successfully utilized as catalysts. Particularly, MXenes have achieved success as a photocatalyst for carbon dioxide reduction, nitrogen fixation, hydrogen evolution, and photochemical degradation. The structure of MXenes and the presence of hydrophilic …

Go to article

Hybrid Feature Selection Based On Principal Component Analysis And Grey Wolf Optimizer Algorithm For Arabic News Article Classification, Osama Ahmad Alomari, Ashraf Elnagar, Imad Afyouni, Ismail Shahin, Ali Bou Nassif, Ibrahim Abaker Hashem, Mohammad Tubishat Nov 2022

Hybrid Feature Selection Based On Principal Component Analysis And Grey Wolf Optimizer Algorithm For Arabic News Article Classification, Osama Ahmad Alomari, Ashraf Elnagar, Imad Afyouni, Ismail Shahin, Ali Bou Nassif, Ibrahim Abaker Hashem, Mohammad Tubishat

All Works

The rapid growth of electronic documents has resulted from the expansion and development of internet technologies. Text-documents classification is a key task in natural language processing that converts unstructured data into structured form and then extract knowledge from it. This conversion generates a high dimensional data that needs further analusis using data mining techniques like feature extraction, feature selection, and classification to derive meaningful insights from the data. Feature selection is a technique used for reducing dimensionality in order to prune the feature space and, as a result, lowering the computational cost and enhancing classification accuracy. This work presents a …

Go to article

Covid-19 And Stock Market Liquidity: International Evidence, Muhammad Umar, Ghulame Rubbaniy, Amjad Iqbal, Syed Kumail Abbas Rizvi, Yan Xu Nov 2022

Covid-19 And Stock Market Liquidity: International Evidence, Muhammad Umar, Ghulame Rubbaniy, Amjad Iqbal, Syed Kumail Abbas Rizvi, Yan Xu

All Works

This study analyzes the impact of Covid-19 on stock market liquidity of China and four worst hit countries by the pandemic. Using daily data for the stock market illiquidity spanning over July 1, 2019 to July 10, 2020 and the data for new cases and deaths over the period from December 31, 2019 to July 10, 2020, the results of our GARCH analysis show that liquidity in stock markets of all the sampled countries hit hard by the news of the Covid-19 outbreak. We find that for all sampled countries increase in illiquidity due to temporary shocks reverts to long …

Go to article

Next Last