Digital Commons Network^™

Countries As Laboratories: Reflections On Sierra Leone’S Amended Anti-Human Trafficking Law, Andrea L. Dennis

Scholarly Works

Sierra Leone’s improved anti-trafficking laws align with global norms, but enforcement remains weak due to socio-economic realities and Western deterrence mismatches, limiting effective prosecution despite recent legislative reforms.

Relational Mentoring In Troubled Times, Fatima Suarez, Veronica Montes, Emir Estrada, Pierrette Hondagneu-Sotelo

Sociology Faculty Research and Scholarship

No abstract provided.

Optical Coherence Tomography Harmonization With Anatomy-Guided Latent Metric Schrödinger Bridges, Shuwen Wei, Blake E. Dewey, Samuel W. Remedios, Bruno Jedynak, Shimeng Wang, Peter Calabresi, Shiv Saidha, Aaron Carass, Multiple Additional Authors

Mathematics and Statistics Faculty Publications and Presentations

Medical image harmonization aims to reduce the differences in appearance caused by scanner hardware variations to allow for consistent and reliable comparisons across devices. Harmonization based on paired images from different devices has limited applicability in real-world clinical settings. On the other hand, unpaired harmonization typically does not guarantee anatomy consistency, which is problematic because anatomical information preservation is paramount. The Schrödinger bridge framework has achieved state-of-the-art style transfer performance with natural images by matching distributions of unpaired images, but this approach can also introduce anatomy changes when applied to medical images. We show that such changes occur because the …

Unsupervised Oct Image Interpolation Using Deformable Registration And Generative Models, Shuwen Wei, Samuel W. Remedios, Bruno Jedynak, Peter Calabresi, Shiv Saidha, Aaron Carass, Multiple Additional Authors

Mathematics and Statistics Faculty Publications and Presentations

Optical coherence tomography (OCT) images are often acquired as highly anisotropic volumes, where the scanning step is dense along the fast axis but sparse along the slow axis. This affects image analysis, such as image registration for longitudinal alignment. To create more isotropic volumes, bicubic interpolation can be used along the slow axis, but it generally produces blurry features. Registration-based interpolation can reduce blurriness, but often fails to generate realistic OCT images. Deep generative models can sample realistic images, but lack the structural consistency constraints required for interpolation. In this paper, we propose an unsupervised image interpolation method that combines …

Plea Tracking In The Durham County District Attorney’S Office: Second Report On Superior Court Cases Pled From April 2021 To November 2023, Kelly Evans, Elizabeth Gifford, Brandon L. Garrett

Faculty Scholarship

No abstract provided.

Technologies Of Violence: Law, Markets, And Innovation For Gun Safety, Joseph Blocher, Christopher Buccafusco

Faculty Scholarship

Violence in the United States is distinctive in many ways, perhaps none more visceral and fundamental than the technologies with which it is practiced. American violence disproportionately involves guns, and because guns are such an effective tool of violence, confrontations involving them are disproportionately deadly. Decades of research confirm this "instrumentality effect, " and it is reflected in the broad, bipartisan agreement that the nation has a gun violence problem. The deep disagreement, of course, remains about how to address it, with most of the debate focused on regulating who can carry which guns, where, and how.

But fully understanding, …

The Judicial Administrative Power, Jonathan Petkun, Joseph Schottenfeld

Faculty Scholarship

Article III of the Constitution confines the “judicial Power of the United States” to the adjudication of “cases” and “controversies.” In practice, however, federal judges exercise control over, and spend their scarce time on, a wide range of activities that traverse far beyond any individual adjudication. Typically classified as a form of “judicial administration,” these activities span everything from promulgating the rules of the various federal courts to overseeing federal pretrial detention services or choosing federal public defenders.

This Article describes how judges became involved in these nonadjudicatory Article III activities, clarifies the activities’ relationship to Article III adjudication, and …

The Dangerous Rise Of Dual-Use Objects In War, Oona A. Hathaway, Azmat Khan, Mara R. Revkin

Faculty Scholarship

Each day, the news brings stories of military attacks on schools, hospitals, apartment buildings, electrical facilities, and other critical civilian infrastructure. The militaries attacking these objects often seek to justify the attacks by claiming that the civilian objects are being used by militants. Objects that are believed to have both military and civilian use are often referred to as “dual-use” objects. Even though the term has become common, international law does not recognize a “dual-use” object as a legally meaningful category. Rather, the postwar Geneva Conventions that lie at the core of modern international humanitarian law establish a bright line …

The Rise Of Global Fcpa Settlements, Rachel Brewster

Faculty Scholarship

For the last two decades, the United States has been the dominant enforcer of anti-bribery norms worldwide. Using the broad extraterritorial jurisdiction granted by the Foreign Corrupt Practices Act (FCPA), the Department of Justice (DOJ) and the Securities and Exchange Commission (SEC) have prosecuted domestic and foreign corporations for bribing foreign government officials. This transnational enforcement system has been described as a negative comity regime: foreign governments defer to American prosecutions even if the case involves their nationals. This system has created a robust enforcement environment but often faces foreign resistance to the perceived “American dominance” of the regime. This …

Deep Learning Approaches For Eeg-Based Biometrics: A Systematic Review, Ali E. Albaiati, Muhammad Firdaus Akbar, Murtadha D. Hssayeni, Ashraf Khalil, Mohd Nadhir Ab Wahab, Sundus Sulaiman Weli, Enas A. Raheema

All Works

Biometics such as fingerprint, face, and iris are vulnerable to spoof attacks. The unique characteristics of Electroencephalography (EEG) make it a promising biometric modality especially because of its resistance to spoofing attacks. Many deep learning methods have been proposed for EEG-based biometric systems. This systematic review examines these methods in terms of their feature extraction ability and authentication performance. We follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to search IEEE Xplore, PubMed, Web of Science, ScienceDirect, and Springer databases. Initially, we identified 285 relevant articles published between 2018 and 2024. After removing duplicates and applying …

The Impact Of Perfumes And Cosmetic Products On Human Health: A Narrative Review, Sharifa Alblooshi

All Works

Background: The use of perfumes and cosmetic products is widespread, serving personal hygiene, aesthetic, and olfactory functions. However, concerns have been raised regarding the potential health impacts associated with long-term exposure to various ingredients used in these products. Objectives: This narrative review aims to synthesize evidence on the health risks associated with perfumes and cosmetics, focusing on specific health concerns, including fertility, respiratory health, cancer risk, allergies, skin disorders, endocrine disruption, and neurological effects. It also discusses the presence of heavy metals in cosmetics, regulatory challenges, and the need for transparency in ingredient disclosure. Methods: A comprehensive review of the …

Empowering Women On Screen: Exploring The Influence Of Female Protagonists On Contemporary Culture And Gendered Enjoyment In Film, Fokiya Akhtar, Azmat Rasul

All Works

A prevalent notion in the film industry across the globe suggests that female-led films may underperform, leading producers to avoid casting women as leads. This fear of alienating male audiences perpetuates patriarchal ideologies, objectifies female bodies, reinforces gender stereotypes, and alters perceptions of femininity. Examining this perception, the present study investigated the impact of the gender of the protagonist on the audience preference, challenging the misconception that exists in the film industry globally that films starring females as protagonists are less commercially successful. The study conducted an online experiment of 434 participants who were assigned different movies starring male and …

Measuring The Effectiveness Of Internship Programs In Aligning Education With Industry During Covid-19: A Case Study, Fokiya Akhtar, Tarannum Parkar

All Works

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's 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's framework. The study revealed that internships offer students a chance to …

Improving Public Sector Procurement Methods In International Practices: A Comparative Study, Karem Sayed Aboelazm, Fady Tawakol, Emad Ibrahim, Hanadi Sharif

All Works

Objective: This paper presents the methods of public sector procurement in some public procurement laws such as UNITRAL law, Egyptian Law, Indian Law, Kenyan Law, and UAE law. Theoretical Framework: Some of the modern methods used by many countries, the research also sought to develop a clear definition of public sector procurement and relied in this research on the comparative approach as a significant approach to study for comparing the laws of countries. Method: This paper used descriptive-analytical methodology to analysis the legal frameworks of public sector procurement methods in Egypt, UAE, and other laws in comparison, the research reached …

An Explainable Ai And Optimized Multi-Branch Convolutional Neural Network Model For Eye Anemia Diagnosis, Kamel K. Mohammed, Nadia Dahmani, Rania Ahmed, Ashraf Darwish, Aboul Ella Hassanien

All Works

This paper proposes a novel, non-invasive approach to diagnosing eye anemia using deep learning techniques. Traditional methods, reliant on invasive procedures like venipuncture, are costly and can cause patient discomfort. Our model leverages a multi-branch convolutional neural network (CNN) architecture, incorporating the Hippopotamus Optimization (HO) algorithm and multiclass support vector machines (SVMs) for enhanced accuracy. To address data imbalance, we employ the Synthetic Minority Oversampling Technique (SMOTE) and data augmentation. The model is trained and evaluated on a dataset of 211 eye images. The model achieves a remarkable 97.06% accuracy, with a Receiver Operating Characteristic (ROC) curve demonstrating an Area …

Digital Transformation Of Education: An Integrated Framework For Metaverse, Blockchain, And Ai-Driven Learning, Mousa Al-Kfairy, Omar Alfandi, Ravi S. Sharma, Saed Alrabaee

All Works

The integration of Metaverse, Blockchain, and Artificial Intelligence (AI) has the potential to revolutionize the educational landscape by providing immersive, secure, and personalized learning environments. This study proposes a conceptual framework that combines these technologies to address the key challenges faced by contemporary education systems, including accessibility, engagement, security, and personalization. The Metaverse serves as the immersive platform, offering virtual classrooms, interactive simulations, and gamified learning experiences. Blockchain provides the foundation for secure and transparent academic records, enabling tamper-proof credential verification and decentralized data management. AI enhances the educational experience by powering adaptive learning systems, predictive analytics, and intelligent tutoring …

Intrinsic Motivation, Future Orientation, And Financial Stress: A Student-Centered Model Of Metaverse Classroom Adoption In Low-Income Contexts, Mousa Al-Kfairy, Omar Alfandi, Saed Alrabaee

All Works

The rapid rise of immersive technologies has placed metaverse-based classrooms at the center of higher education innovation. Yet, little is known about how students in low-income contexts perceive and adopt these platforms, particularly when motivation, career goals, and financial pressures intersect. This study develops and tests a student-focused model that integrates intrinsic motivation, future time perspective, career relevance, and financial stress to explain behavioral intention toward metaverse adoption. A survey of 292 university students in Jordan—a lower-income national setting—was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results showed all hypothesized paths were significant. Future time perspective and career …

The Effectiveness Of A Proposed Guide To Improve The Role Of Parents In Developing Their Kindergarten Children English Language Skills, Laila Mohebi, Ghadah Al Murshidi, Asmaa Awad, Bushra Areashi, Ahmed Al Zaabi, Ahlam Hendawy

All Works

The aim of this study is to explore United Arab Emirates (UAE) parents’ perceptions of their involvement in their kindergarten children’s English language learning as a second language (L2) and the challenges they face. The study consisted of two phases: the first investigated the role of 329 parents using a questionnaire, revealing a strong need for guidance on how to support their children’s English learning. The second phase assessed the effectiveness of a structured educational guide. Pre/post-test results showed that the guide enhanced parents’ abilities to teach English as an L2 and apply strategies aligned with their children’s learning styles.

Llm-Driven Apt Detection For 6g Wireless Networks: A Systematic Review And Taxonomy, Muhammed Golec, Yaser Khamayseh, Suhib Bani Melhem, Abdulmalik Alwarafy

All Works

Sixth Generation (6G) wireless networks, which are expected to be deployed in the 2030s, have already created great excitement in academia and the private sector with their extremely high communication speed and low latency rates. However, despite the ultra-low latency, high throughput, and AI-assisted orchestration capabilities they promise, they are vulnerable to stealthy and long-term Advanced Persistent Threats (APTs). Large Language Models (LLMs) stand out as an ideal candidate to fill this gap with their high success in semantic reasoning and threat intelligence. This paper presents the first systematic review and taxonomy for LLM-assisted APT detection in 6G networks. It …

Deep Learning Models Based On Cnn, Rnn, And Lstm For Rainfall Forecasting: Jordan As A Case Study, La'aly A. Al-Samrraie, Ayman M. Abdalla, Khalideh Al Bkoor Alrawashdeh, Abeer Al Bsoul, Mohammad Abu Awad, Kamel Alzboon, Ahmed A. Al-Taani

All Works

This study is the first to compare deep learning models for rainfall prediction across several Jordanian cities representing diverse climates using 11 years of recorded climate data, something that previous studies have not addressed in the Jordanian context. The climate records for four Jordanian cities (Amman, Irbid, Karak, and Ajloun) were recorded hourly. The data was divided into training sets (80%) and test sets (20%), with and without the application of correlation analysis, feature selection, and data standardization steps applied. Three neural network models, Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), and Convolutional Neural Network-Recurrent Neural Network (CNN-RNN) were …

Science Education In The Age Of Misinformation, Elissar Gerges

All Works

No abstract provided.

Enhancing Brand Equity Through Branded Content Experience On Social Media: Developing And Testing A Moderated Mediation Model, Muhammad Waqas, Muhammad Adnan Waseem, Nauman Wajid, Irfan Irfan

Plymouth Business School

This study examined the relationship between branded content experience and brand equity by focusing on the mediating role of brand trust and the moderating role of consumer regret of interacting with branded content on social media. In testing the hypotheses proposed in this study, survey data were drawn from a sample of social media users and examined through structural equation modeling. The results indicate that branded content experience positively influences brand equity directly and indirectly via brand trust. In addition, moderated path analysis indicated that regret weakens the direct effect of branded content experience on brand trust and its indirect …

Zyn: The Social Buzz, Paula Hayek, Charlotte Mccormick, Page D. Dobbs

2025 Research Poster Competition

Use of nicotine pouches among adolescents are increasing as marketing of Zyn through social media platforms such as, TikTok, is spreading quickly. Micro-influencers on TikTok are presenting the nicotine pouch, Zyn, and its abundance of flavors. The attractiveness of Zyn is primarily due to its subtleness, assortment of flavors, and convenience. The objective of this research is to examine how social media marketing of Zyn pouches is influencing the increased use of this product among adolescents and young adults. This research will aim to answer how Zyn is being communicated on TikTok, what demographic is primarily depicted using or talking …

Geopolitical Changes And Futures Of Ccamlr, Nengye Liu

Research Collection Yong Pung How School Of Law

The Convention on the Conservation of Antarctic Marine Living Resources (CAMLR Convention) was negotiated in the late 1970s in the shadow of the Soviet Union’s expanding interest in Antarctic krill fisheries. The development of a management regime for the krill fishery in the remote Southern Ocean vividly reflects geopolitical changes of the world at that time. The Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR) is similarly being affected by geopolitical forces from the wider international system today. This chapter therefore first reviews the historical background for the establishment of the CCAMLR. It then provides an overview of …

Dyscluded': Women's Experiences Of Mothering Autistic Children As Described In Their Stories', Juliet Hall

School of Law, Humanities and Social Sciences Theses

My research, grounded in feminist research practices, uses an auto/biographical approach to explore the experiential knowledge of women mothering autistic children. It arose from a yearning for discovery. I use women’s stories to increase understanding of this experience to disrupt deeply embedded discourses and to benefit others with shared experiences.

There is a substantial body of knowledge on the experience of parent’s raising autistic children, however this tends to focus on a specific aspect of their autism journey. It is often presented in a gender-blind way. Much of it fails to acknowledge the implications of sociocultural expectations on mothers and …

University Students' Understanding And Utilization Of Food Labels: A Cross-Sectional Study, Sharifa Alblooshi, Linda Smail, Asya Aldayyani, Falak Zeb, Alia Ibrahim

All Works

Introduction: This study is aimed at investigating Zayed University students' 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 …

Designing Ai To Foster Acceptance: Do Freedom To Choose And Social Proof Impact Ai Attitudes Among British And Arab Populations?, Sameha Alshakhsi, Mohamed Basel Almourad, Areej Babkir, Dena Al-Thani, Ala Yankouskaya, Christian Montag, Raian Ali

All Works

This study examines the impact of two key AI modalities–freedom of choice (FoC) and social proof (SP)–on public attitudes toward AI, focusing on cultural differences between UK and Arab participants. FoC refers to the option of selecting a non-AI, possibly human, alternative, while SP means knowing that others have used AI without issues. Four scenarios were designed, combining the presence or absence of these modalities. The context was a customer service chatbot for a telecommunications company, familiar to all participants. A total of 639 participants (316 British and 323 Arab) were introduced to the modalities and then the scenarios in …

Certain Knowledge Of Administrative Decisions Issued By Artificial Intelligence Systems In The Public Sector: A Comparative Analysis, Nayel Musa Alomran, Odai Mohammad Alheilat

All Works

This paper aims to elucidate the matter of certain knowledge pertaining to administrative decisions, those issued by artificial intelligence. It also clarifies the position of the administrative judiciary with regard to the adoption of this presumption and through a comparative analysis of administrative judicial applications in Jor-dan, Egypt, and Morocco. The text addresses the most significant evidence for achieving certain knowledge of an administrative decision – and thereby initiating the appeal period against the appellant. The question at hand is whether the administrative judiciary applies the traditional theory of certain knowledge to its counterpart issued by artificial intelligence systems, especially …

Performance Based Scheduling In Distributed Mixed Criticality Systems, Amjad Ali, Saud Wasly, Asad Masood Khattak, Ihsan Ali, Shahid Iqbal, Bashir Hayat

All Works

With a focus on computationally intensive, distributed, and parallel workloads, scheduling in mixed-criticality distributed systems presents significant challenges due to shared memory and resources, as well as the diverse demands of tasks. The system’s efficiency is heavily dependent on the overall scheduling duration (make span), while individual task deadlines impose strict timing constraints. When the tasks need to simultaneously access the shared memory, then these tasks interfere the execution of one another. For managing the scheduling of interfering tasks in distributed mixed-criticality systems, a novel Interference-Aware Partitioning Fixed Priority (IAP-FP) approach is proposed, which effectively handles task partitioning among cores …

Enhancing Teachers’ Design Thinking Mindsets Through Reflective Practice: Cultivating Innovation In An Upskilling Steam Training Program, Areej Elsayary

All Works

Promoting innovation in education through enhanced design thinking (DT) mindsets among teachers is a central goal. This study examines the use of reflective practice within an upskilling STEAM training program to achieve this enhancement. The upskilling training initiative examined in this research encompasses a ten-week instructional session characterized by a hybrid learning methodology under the guidance of an instructor. An explanatory mixed method design is employed, starting with a quantitative method (teachers’ survey) followed by a qualitative method (focus group discussion). The participants were in-service K-12 teachers (n = 55) from charity schools across Northern Emirates in the United Arab …