Digital Commons Network^™

Exploring Artificial Intelligence Governance In Higher Education: Policy Design, Implementation And Adaptability In Egypt, Rolane Eissa

Theses and Dissertations

The rapid adoption of artificial intelligence (AI) in higher education (HE) underscores the need for effective governance frameworks that ensure ethical use and academic integrity. Despite increased policy attention, universities face significant challenges in translating AI governance (AIG) principles and policies into coherent, practical practices within complex organizational settings. Existing research on AIG remains conceptual and focused on the Global North. It offers limited empirical insight into how AI policies are interpreted and enacted at the institutional level, particularly in HE systems in the Global South. This study addresses these gaps by examining AIG in Egyptian universities, thereby providing empirically …

Scalable And Fault-Tolerant Network Architectures For Real-Time Video Transmission In Industrial Networked Control Systems, Moustafa Awad

Theses and Dissertations

This thesis addresses the challenge of transporting supervisory video alongside time-critical control traffic in industrial Networked Control Systems (NCS) without violating stringent real-time constraints. A simple yet scalable network architecture is developed and evaluated for a plant-level deployment comprising three interconnected workcells with sensors, controllers, actuators, and cameras. The design explicitly accommodates bandwidth-intensive video streams while preserving the responsiveness of watchdog/control traffic. Analytical delay modeling decomposes end-to-end latency into transmission, propagation, processing, and queuing components, and Riverbed-based simulations are used to validate the model under realistic mixed-traffic conditions. A traffic-engineering strategy - phase-shifting supervisory camera transmissions - effectively desynchronizes frame …

Post Tension Losses: A Comparative Study Of Different Codes Of Practice, Hana Moataz Tolba

Theses and Dissertations

Pre-stressed post-tensioned concrete has become a cornerstone of contemporary structural design due to its ability to enhance load-bearing capacity, minimize deflections, and extend span lengths efficiently. Accurate estimation of pre-stress losses is essential for ensuring structural reliability and serviceability over the lifespan of such systems. This study presents a comprehensive evaluation of initial and long-term pre-stress losses in post-tensioned concrete elements, applying and comparing provisions from four major international design codes: The Egyptian Code for Design and Construction of Concrete Structures (ECP 203-2007), the American Concrete Institute's ACI 423.10R-16, Euro code 2, and the Canadian CSA A23.3 standards as detailed …

Journeys Of Emancipation, Struggle, Or Both? Accounts From Professional Egyptian Migrant Women In Germany, Adam Eddouss

Theses and Dissertations

This thesis explores the migration experiences of a group of professional Egyptian migrant women living in Germany. By employing a qualitative approach, primarily through semi-structured interviews, and guided by migration literature, this research attempts to move away from the oversimplistic approach that migration is an ‘either or’ reality. Mainstream migration scholarship, specifically that focusing on migrant women, tends to focus on depicting migration within an emancipation-struggle binary, presenting migrant women either as victims or as heroines. This work, antithetically, describes how migrant women experiences can be complex, highlighting, both instances of strength and struggle. Grounded in the words of the …

Gender, Integration, And Labor Market Access: The Case Of Syrian Refugees In Germany, Feras Al-Mekhlafy

Theses and Dissertations

Germany hosts one of the largest populations of Syrian refugees in Europe, making their successful labor market integration critical for social and economic stability. This study investigates the gender gap among Syrian refugees in Germany within the broader refugee–native labor market gap. Using cross-sectional data from the 2022 SOEP refugee survey, it applies a Heckman two-step selection model to jointly analyze employment and wage outcomes while correcting for selection bias. Results reveal that structural barriers (e.g.: legal and bureaucratic) and compositional factors (e.g.: human capital) rather than wage discrimination drive most observed disparities. Female refugees face significantly lower employment probabilities, …

Metal-Free Nitrogen-Enriched Graphitic Carbon Nitride Architectures For Advanced Supercapacitor Energy Storage: Design, Synthesis, And Electrochemical Performance Optimization, Loujain Gamal Mohamed

Theses and Dissertations

Abstract

This thesis addresses the urgent global requirement for efficient energy storage materials by developing and characterizing advanced graphitic carbon nitride (g-C3N4)-based electrode materials for supercapacitors. A facile, low-cost thermal polymerization method produces 2D nitrogen-rich GCN nanosheets exhibiting excellent electrochemical stability and wide voltage windows, enabling symmetric devices with 19.33 Wh/kg energy density and remarkable cycling stability over 21,000 cycles. To overcome intrinsic limitations of pristine GCN, a 3D/2D metal free composite with bio-derived carbon (Bio-Cx) is synthesized, delivering high capacitance, wide potential windows, and ultrahigh energy density of 53.72 Wh/kg in asymmetric configurations paired with mesoporous nitrogen-doped carbon (MPNDC). …

Assessing Public-Sector Readiness For Artificial Intelligence In Egypt, Renad Ahmed Anwar

Theses and Dissertations

Artificial intelligence (AI) is increasingly adopted in public-sector contexts, yet successful implementation depends on organizational readiness, particularly in developing countries. This study assesses the readiness of Egypt’s public sector for AI adoption using a qualitative expert opinion methodology. Semi-structured interviews were conducted with senior professionals from global technology firms with extensive experience working with public-sector entities in Egypt.

Guided by by an integrated framework combining organizational readiness theory, the Technology–Organization–Environment (TOE) framework, and public value and governance perspectives, the study examines strategic, organizational, human, technological, societal, and governance dimensions of AI readiness. The findings indicate that while Egypt demonstrates strong …

Psycholinguistic Factors And Technology Appropriation In Efl Learning: An Instrumental Case Study, Marlon Vanegas Rojas, Claudia María Uribe Hoyos

The Qualitative Report

This instrumental case study described the psycholinguistic factors related to technology appropriation and language learning among English as a foreign language university students in Medellín, Colombia. Conducted at a private university’s language department, the 64-hour English course combined traditional and digital teaching methods with 22 participants from diverse undergraduate programs. Employing maximum variation sampling, the study captured perspectives across age, gender, technology appropriation, academic performance, and cultural background. Data collection included interviews, a technology appropriation self-perception survey, language proficiency tests, and classroom observations. Using the analytical framework of Miles et al. (2014) the analysis revealed that students relied on digital …

Re: Approval Letter For The Draft Final 2026 Butte Priority Soils Operable Unit (Bpsou) Mcdermott Basin Creek Water Treatment Plant Subsurface Fill Borrow Submittal #1, Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Conditional Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final Potential Logan, Montana, Borrow Source Site Environmental Assessment Checklist, Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Beliefs Of Beginner Pedagogical Researchers About Computer-Assisted Qualitative Data Analysis, Kálmán Sántha

The Qualitative Report

This paper explores how computer-assisted qualitative data analysis appears in the beliefs and practical work of beginner researchers. The paper outlines the advantages of computer-assisted qualitative data analysis for beginner researchers, identifies the problems that may arise during this process, and discusses the topics where software capable of analysing multi-coded data can be utilised. The investigation was conducted through structured interviews. The text corpora were processed using a combined method that incorporated theory-driven deductive and data-driven inductive processes.  The following were discussed: advantages and problems with computer-assisted qualitative data analysis, and topics where software for analyzing qualitative data can be …

Adolescent Math Anxiety: Teachers' Grouping Approach At The Intersection Of Multiple Student Identities, Dara Shifrer, Hannah Sean Ellefritz, David Hernandez-Saca, Allison Roda, Karla Santana Martinez

Sociology Faculty Publications and Presentations

Math anxiety represents a substantial barrier to many students’ math learning. In this paper, we apply interdisciplinary perspectives to data on over 13,200 ninth graders and their math teachers from the High School Longitudinal Study. Results suggest that being perceived as dis/abled relates to heightened math anxiety regardless of adolescents’ gender, or race and ethnicity. Our intersectional approach reveals that adolescents’ expressions of math anxiety do not always correspond with gender, racial, and ethnic stereotypes, with Black girls, Black boys, and Latine boys expressing relatively low levels of math anxiety. Finally, consistent with the principles of inclusion and universal design, …

Expression Of Concern: The Innovative Technique For Obtaining The Solutions Of Jeffery Hamel Nano-Fluids Flow Problem, Haedir Abd Alrazak Namoos, Abeer Majeed Jasim

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: H.A.A. Namoos and A.M. Jasim, ``The Innovative Technique for Obtaining the Solutions of Jeffery Hamel Nano-fluids Flow Problem,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 3, 2025, Article 31. DOI:https://doi.org/10.52866/2788-7421.1303.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/31.

Reason for Expression of Concern:The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “The Innovative Technique for Obtaining the Solutions of Je ery Hamel Nano-fluids Flow Problem (Manuscript 1303)”. The journal has initiated an additional editorial assessment of the article’s methodology, data provenance, and reported outcomes to …

Expression Of Concern: Software Engineering Approach To Enhancing Privacy Protection: Automated Face Blurring Using Deep Learning In Arab Social Media, Yasmin Makki Mohialden, Nadia Mahmood Hussien, Mostafa Abdulghafoor Mohammed

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: Y. M. Mohialden, N. M. Hussien, and M. A. Mohammed, ``Software Engineering Approach to Enhancing Privacy Protection: Automated Face Blurring Using Deep Learning in Arab Social Media,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 3, 2025, Article 43. DOI: https://doi.org/10.52866/2788-7421.1317.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/43.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “Software Engineering Approach to Enhancing Privacy Protection: Automated Face Blurring Using Deep Learning in Arab Social Media (Manuscript 1317)”. The journal has initiated an additional …

Expression Of Concern: Quantum Machine And Deep Learning For Medical Image Classification: A Systematic Review Of Trends, Methodologies, And Future Directions, Eman A. Radhi, Mohammed Y. Kamil, Mazin Abed Mohammed

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: E. A. Radhi, M. Y. Kamil, and M. A. Mohammed, ``Quantum Machine and Deep Learning for Medical Image Classification: A Systematic Review of Trends, Methodologies, and Future Directions,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 2, 2025, Article 9. DOI: https://doi.org/10.52866/2788-7421.1252.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss2/9.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “Quantum Machine and Deep Learning for Medical Image Classification: A Systematic Review of Trends, Methodologies, and Future Directions (Manuscript 1252)”. The journal has initiated …

Expression Of Concern: Ontology Features-Based Arabic Text Augmentation Using Word2vec, Enas Tariq Khudair, Onsa Lazzez, Mourad Zaied, Tarek M. Hamdani, Ahmed T. Sadiq, Habib Chabchoub, Adel M. Alimi

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: E. T. Khudair, O. Lazzez, M. Zaied, T. M. Hamdani, A. T. Sadiq, H. Chabchoub, and A. M. Alimi, “Ontology Features-Based Arabic Text Augmentation Using Word2Vec,” Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 3, 2025, Article 40. DOI: https://doi.org/10.52866/2788-7421. 1302 Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/40

Editor's Note: The Expression of Concern (DOI: https://doi.org/10.52866/2788-7421.1386) regarding the Original Article (DOI: https://doi.org/10.52866/2788-7421.1302) has been resolved. The publication timeline is as follows: Original Article → Expression of Concern → Resolution.

Expression Of Concern: Leveraging Machine Learning For Accurate Prediction Of Nba Player Salaries, Ye Cheng, Yan Song, Mingqi Wang

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: Y. Cheng, Y. Song, and M. Wang, ``Leveraging Machine Learning for Accurate Prediction of NBA Player Salaries,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 3, 2025, Article 1. DOI: https://doi.org/10.52866/2788-7421.1275
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/1

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “Leveraging Machine Learning for Accurate Prediction of NBA Player Salaries (Manuscript 1275)”. The journal has initiated an additional editorial assessment of the article’s methodology, data provenance, and reported outcomes to confirm their reliability and reproducibility. This notice …

Expression Of Concern: Improving Road Safety Through Multimodal Deep Learning For Driver Drowsiness Detection, Hadel A. Hussain, Mohammed A. Subhi, Ahmed S. Al Tmeme, Ahmed D. Radhi, Marwan Ali Albahar

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: H. A. Hussain, M. A. Subhi, A. S. Al Tmeme, A. D. Radhi, and M. A. Albahar, ``Improving Road Safety Through Multimodal Deep Learning for Driver Drowsiness Detection,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 4, Article 12, 2025. DOI: https://doi.org/10.52866/2788-7421.1330.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss4/12.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “Improving Road Safety Through Multimodal Deep Learning for Driver Drowsiness Detection (Manuscript 1330)”. The journal has initiated an additional editorial assessment of the article’s …

Expression Of Concern: Improving Heart Attack Prediction Accuracy Performance Using Machine Learning And Deep Learning Algorithms, Iraqi Journal For Computer Science And Mathematics

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: M. H. Al-Adhaileh, M. I. Ahmed Al-mashhadani, E. M. Alzahrani, and T. H. H. Aldhyani, ``Improving Heart Attack Prediction Accuracy Performance Using Machine Learning and Deep Learning Algorithms,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 2, 2025, Article~3. DOI:~https://doi.org/10.52866/2788-7421.1239.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss2/3.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “Improving Heart Attack Prediction Accuracy Performance Using Machine Learning and Deep Learning Algorithms (Manuscript 1239)”. The journal has initiated an additional editorial assessment of the …

Expression Of Concern: Improved Harmony Search Algorithm For Sdn Controller Placement, Yousra Abdul Alsahib S. Aldeen, Ahmed T. Sadiq, Abeer E. Abed, Omar F. Hussain, Syed Hamid Hussain Madni

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: Y. A. A. S. Aldeen, A. T. Sadiq, A. E. Abed, O. F. Hussain, and S. H. H. Madni, ``Improved Harmony Search Algorithm for SDN Controller Placement,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 2, 2025, Article 12. DOI: https://doi.org/10.52866/2788-7421.1249.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss2/12.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “Exact Solutions of M-fractional Complex Ginzburg-Landau Equation via Two Analytical Methods (Manuscript 1267)”. Exact Solutions of M-fractional: : : The journal has initiated an additional …

Expression Of Concern: Exact Solutions Of M-Fractional Complex Ginzburg-Landau Equation Via Two Analytical, Nematollah Kadkhoda, Mojtaba Baymani, Maad M. Mijwil, Mostafa Abotaleb

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: N. Kadkhoda, M. Baymani, M. M. Mijwil, and M. Abotaleb, ``Exact Solutions of M-fractional Complex Ginzburg-Landau Equation via Two Analytical Methods,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 3, 2025, Article 11. DOI: https://doi.org/10.52866/2788-7421.1267.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/11.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “Exact Solutions of M-fractional Complex Ginzburg-Landau Equation via Two Analytical Methods (Manuscript 1267)”. Exact Solutions of M-fractional: : : The journal has initiated an additional editorial assessment of the article’s methodology, …

Expression Of Concern: Artificial Intelligence In Education: Mathematics Teachers' Perspectives, Practices And Challenges, Mohammad A. Tashtoush, Yousef Wardat, Rommel Al Ali, Shoeb Saleh

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: M. A. Tashtoush, Y. Wardat, R. A. Ali, and S. Saleh, ``Artificial Intelligence in Education: Mathematics Teachers' Perspectives, Practices and Challenges,'' Iraqi Journal for Computer Science and Mathematics, vol. 5, no. 1, 2024, Article 20. DOI: https://doi.org/10.52866/ijcsm.2024.05.01.004.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol5/iss1/20.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in ``Artificial Intelligence in Education: Mathematics Teachers' Perspectives''. The journal has initiated an additional editorial assessment of the article's methodology, data provenance, and reported outcomes to confirm their reliability and reproducibility.
This …

Expression Of Concern: A Lightweight U-Net Model For Accurate Skin Lesion Segmentation, Fallah H. Najjar, Karrar A. Kadhim, Farhan Mohamed, Mohd Shafry Mohd Rahim, Asniyani Nur Haidar Abdullah

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: F. H. Najjar, K. A. Kadhim, F. Mohamed, M. S. Mohd Rahim, and A. N. Haidar Abdullah, ``A Lightweight U-Net Model for Accurate Skin Lesion Segmentation,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 2, 2025, Article 1. DOI: https://doi.org/10.52866/2788-7421.1230.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss2/1.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in ``A Lightweight U-Net Model for Accurate Skin Lesion Segmentation (Manuscript 1230)''. the journal has initiated an additional editorial assessment of the article's methodology, data provenance, and …

On Cartan’S Examples Of Isoparametric Hypersurfaces And Their Focal Submanifolds, Thomas E. Cecil, Patrick J. Ryan

Mathematics and Computer Science Department Faculty Scholarship

This paper is a survey of Cartan’s examples of isoparametric hypersurfaces in spheres and their focal submanifolds that were described in his fundamental work on the subject, which appeared in four papers [2]–[5] published during the period 1938–1940.

Pediatric Inflammatory Bowel Disease Tissue Classification From Pathology Slide Images: Detecting Phenotypes Using Computer Vision, Chloe Martin-King, Ali Nael, Louis Ehwerhemuepha, Blake Calvo, Quinn Gates, Jamie Janchoi, Elisa Ornelas, Melissa Perez, Andrea Venderby, John Miklavcic, Peter Chang, Aaron Sassoon, Brian Rubio, Ghislaine Barrigan, Kenneth Grant

Food Science Faculty Articles and Research

Background and Aims

Methods

Results …

Mobility, Migration, And Cultural Political Economy: Personal Narratives Of Immigration Policy, Max Crumley-Effinger

Journal of Comparative & International Higher Education

This study embraces the opportunity to explore students’ immigration experiences from a cultural political economy (CPE) perspective, beginning with a review of literature relevant to understanding students’ perspectives of host nation international student mobility and migration (ISM) policy, followed by an outline of the CPE theoretical framework. The study’s methodology is presented, outlining how findings were obtained through a qualitative content analysis of interviews with 40 international students studying in Australia, Canada, and the United States. Findings are then presented through the words of study participants, highlighting how international students connect their ISM policy experiences with the local CPE contexts …

Dynamic Multi-Layered Hardware Obfuscation With Behavioral Drift Locking For Sat-Resistant Designs, Ahmed Yehia Salah Mohamed Emish

Theses and Dissertations

The globalization of the semiconductor supply chain has introduced critical vulnerabilities, including intellectual property (IP) piracy, reverse engineering, and hardware tampering. While traditional logic locking offers a baseline of defense, the emergence of powerful Boolean satisfiability (SAT) solvers has rendered many static obfuscation techniques ineffective. This work proposes a Dynamic Multi- Layered Hardware Obfuscation Framework that utilizes Behavioral Drift Locking (BDL) to provide a robust defense-in-depth against advanced adversarial models. The methodology integrates four synergistic layers: • Dynamic Key Management using a time-dependent rotation mechanism that updates keys every clock cycle to prevent static analysis. • Control Obfuscation through opcode …

Models Of Change: Communicating To Your Funder And Stakeholders How You Believe Your Project Will Succeed, Jean Mclaughlin, Thuy Vu, Noe Vargas Hernandez, Arturo A. Fuentes

Civil Engineering Faculty Publications

No abstract provided.

The Language Matters In Restaurant Menus: The Saudi Arabian Marketing Perspective, Abdulaziz Khalid Alotaibi

UB Journal for Humanities

The study investigates the effect of variations of menu language on customer purchasing decisions in Saudi Arabian restaurants operating under fixed price systems. Furthermore, the study examines how different linguistic approaches used in menu descriptions impact customer ordering behaviors within the Saudi hospitality industry’s unique culture and multilingual setting. Thus, a cross-sectional quantitative survey employed experimental vignettes across four language conditions: basic descriptions, sensory-rich descriptions, culturally authentic words, and premium positioning phrases. Hence, through an application of stratified random sampling, data were collected from 447 restaurant customers living in Saudi Arabia’s five most significant metropolitan areas. The findings indicated that …

Ring Learning With Errors: Quantum Safe Encryption For Space-Based Assets, Gage Hauptman, Beck Jorgensen

Student Research Symposium (SRS)

Space-based assets rely on public key cryptography to ensure secure command, control, and telemetry operations. However, conventional algorithms like Rivest-Shamir-Adleman (RSA) and Elliptic Curve Cryptography (ECC) are susceptible to Shor’s algorithm when exposed to advanced quantum computing. In this poster, we focus on a quantum-resistant encryption methodology rooted in polynomial rings, specifically Ring Learning With Errors (RLWE). Rather than assessing its quantum resilience, we aim to evaluate throughput and timing variations across diverse telemetry data payloads on representative CPU hardware commonly used in space assets. We will analyze the encryption durations of telemetry payloads and project an experimental encryption rate …