A Comparative Review Of Roller Compacted And Conventional Concrete: Performance, Economics, And Environmental Sustainability, Masood Abu-Bakr, Hersh F Mahmood, Soran Abdrahman Ahmad

Mansoura Engineering Journal

Roller Compacted Concrete (RCC), distinguished by its zero-slump consistency and high density achieved through heavy roller compaction, has gained recognition as an effective alternative to conventional concrete in applications such as pavements, industrial flooring, and dam construction. This paper reviews the evolution, material composition, and common uses of RCC in comparison with Conventional Concrete (CC), emphasizing the advantages and limitations of each. Key performance aspects, including mechanical strength, durability, workability, construction efficiency, and maintenance demands, are examined. The findings indicate that RCC can reduce construction time by up to 25% and lower maintenance costs by approximately 30–40%. Additionally, life-cycle cost …

Remote Sensing-Based Rice Detection: Novel Indices From Optical And Sar Synergy, Kaifi Chomani

Mansoura Engineering Journal

Accurate rice mapping is challenging due to the lack of a simple, efficient approach and the complexity and limited ability of existing methods to distinguish rice fields from non-rice fields. This study proposes two novel indices: the Multispectral Rice Detection Index (MRDI), which utilises optical imagery, and the OptiRadar Rice Index (ORRI), which incorporates both optical and Synthetic Aperture Radar (SAR) data. Ground-truth data from the Cropland Cropping Systems (CROS) were used to assess the performance of both indices. The findings indicated that MRDI achieved an overall accuracy of 97.97% with perfect recall (100%) but lower precision (78.65%). However, the …

Effect Of Load Variations On Power Quality And Ev Battery Performance In Vehicle-To-Grid System, Jitender Kaushal, Rahul Paswan

Mansoura Engineering Journal

Vehicle-to-Grid (V2G) technology enables the exchange of electricity between electric vehicles (EVs) and the utility grid, helping improve the integration of renewable energy sources and the grid's flexibility. Load-dependent power quality disturbances can affect the performance and reliability of V2G systems, which in turn can negatively impact system and battery operation. This study investigates the effect of resistive, inductive and nonlinear loads on the electrical performance and battery behaviour of a bidirectional V2G system. A complete MATLAB/Simulink model was developed to investigate the grid voltage, current, frequency, THD and the battery voltage, current and state of charge. The model uses …

Design, Optimization, And Techno-Economic Analysis Of A Standalone Pv-Wind-Battery Microgrid For A Remote Load In Kurdistan Region Of Iraq, Harwan Mohammed Taha, Laith Akram Mohammed

Mansoura Engineering Journal

Standalone microgrids play a crucial role in rural areas where grid electricity delivery is difficult and expensive. This research verifies the effectiveness of a standalone microgrid in a rugged area, Pers Mountain in Akre district, Duhok governorate, Iraqi Kurdistan. A first hybrid renewable energy system (HRES)-based standalone microgrid is presented to supply a remote load. Solar and wind energy are employed for their reliability, sustainability, and abundance, with battery storage ensuring continuous power when solar and wind are unavailable. Simulation results demonstrate reliable power supply during summer months (loss of power supply probability < 5%), with the system operating across three modes — PV-dominant daytime, combined wind-battery evening, and battery-discharge nighttime. The inverter achieved minimum total harmonic distortion of 1.53% for both current and voltage outputs, below the IEEE 519 limit. A full-year hourly particle swarm optimization (PSO) sizing analysis assessed annual reliability and each source's economic contribution: the original fixed sizing yields an annual loss of power supply probability (LPSP) of 26.80% (expected energy not served ~1,471 kWh/year), motivating a PSO-optimized PV-battery configuration achieving annual LPSP of 5% (~274 kWh/year unserved) at comparable cost. The site's wind resource is reasonable (13.8% capacity factor), but the fixed tower and controller cost outweighs its contribution at this small scale. The proposed HRES totals $11,960–$16,317 depending on configuration, approximately 28–38 times lower than grid extension ($455,600) to the site, while producing zero CO₂ emissions and avoiding approximately 4,189 kg/year versus an equivalent HOMER Pro-simulated diesel generator.

Reconfiguring Environmental Design Thinking: Artificial Intelligence As A Cognitive Partner In Sustainable Architecture – A Novel Hybrid Framework And Empirical Validation Study, Walaa Hussein Hussein Hanafi

Mansoura Engineering Journal

This study develops and empirically validates a Hybrid Cognitive Design Framework (HCDF) that integrates artificial intelligence, parametric design, and environmental simulation as a cognitive partnership system for sustainable architectural design. The research addresses a gap in existing studies, which have largely focused on the functional benefits of AI while giving limited attention to its influence on designers’ cognitive and ethical decision-making. A quasi-experimental study was conducted with 30 architecture students divided into two groups: an HCDF-assisted group and a traditional design group. Participants were tasked with designing a self-sufficient residential neighbourhood in Toshka, Egypt. Data were collected using Think-Aloud Protocol …

Harmonic Mitigation And Reactive Power Support Using Dpfc And Upfc In Grid‑Connected Solar Pv Systems: A Comparative Performance Evaluation, Abhishek Vashistha, Dharmbir Prasad, Rudra Pratap Singh

Mansoura Engineering Journal

Harmonic distortion, reactive power imbalance, and voltage instability represent major challenges regarding the power quality of grid-connected solar photovoltaic (PV) systems. Various recently developed flexible AC transmission system (FACTS) devices such as the unified power flow controller (UPFC) and distributed power flow controller (DPFC), however, have made them possible solutions but still do not provide a quantitative comparison in similar dynamic conditions. In this paper, comparative performance analysis of UPFC and DPFC in 3 MW grid connected solar PV system using Matlab Simulink is presented. The two controllers are affected by same disturbances, namely irradiance step change at t = …

A Hybrid Geoid Model For The Perlis Region, Malaysia Based On Cadastral Reference Marks And A Geometric Approach, Muhammad Aiman Haiqal Abdul Malek, Muhammad Faiz Pa’Suya, Ramazan Alpay Abbak, Ami Hassan Md Din, Noorfatekah Talib

Mansoura Engineering Journal

This study presents the development of a high-resolution local geoid model for the Perlis region, Malaysia, using a geometric approach that integrates GNSS-levelling benchmarks with Cadastral Reference Mark (CRM) data. A total of 38 GNSS-levelling benchmarks were used as reference points, while 3,725 CRMs were incorporated to significantly enhance spatial coverage for geoid modelling. Orthometric heights at the CRM points were first determined by transferring heights from the reference benchmarks using gravimetric geoid information. Subsequently, geometric geoid heights were computed from the differences between ellipsoidal and orthometric heights. Five interpolation techniques were evaluated to generate the geometric geoid surface, namely …

Secondhand Books Industry Between Extinction And Challenges Of The New Millennium: Insights Urban And Architectural Considerations From Al-Azbakeya Book Market., Ahmed M. Selim, Heba M. Gaber, Nehal M. Elmahdy

Mansoura Engineering Journal

At the beginning of the 21st century, the printed and secondhand book industry has faced enormous challenges, particularly after the COVID-19 pandemic, when book consumers sought to engage directly with e-books. The Azbakeya Book Market in Egypt is one of the markets that confronts this challenge, while maintaining its distinctive historical character. This study aims to rehabilitate the secondhand book market in Al-Azbakeya district as a model that simulates the potential urban and sustainable architectural design strategies for reviving this industry. The study framework was comprised into four sections. First, "desk-based research" was conducted to discuss the secondhand book industry …

Comparative Finite Element Method-Based Optimisation Of Coir Fibre Laminates: Aluminium Skins Versus Carbon Cloth Skins, Muhamed Swaleh Ahmed, Bernard Wamuti Ikua, Abel Nyakundi Mayaka

Mansoura Engineering Journal

Natural fibre composites offer a sustainable alternative to conventional composite materials. Their mechanical efficiency is influenced by laminate structure and skin material selection. This study presents a comparative finite element analysis and optimisation of coir fibre-reinforced laminates employing either aluminium skins or carbon cloth skins. COMSOL Multiphysics was used to determine their mechanical response. Optimisation was performed using the BOBYQA algorithm to enhance load sharing between the coir core and skin materials. Results indicated that aluminium-skinned laminates achieve superior compressive and flexural performance, achieving a peak compressive strength of 210 MPa and sustaining a flexural load of 0.65 kN at …

An Iterative & Analytical Hybrid Deep Learning Framework For Enhanced Brain Tumor Detection And Segmentation In Mri Video Scans, Swati V. Sakhare

Mansoura Engineering Journal

The critical need for accurate and robust brain tumor detection in MRI video scans is for early diagnosis and treatment planning operations. However, the existing methods suffer from several limitations, such as not being able to capture spatio-temporal features, handling class imbalances, and generalizing across datasets with diverse characteristics. To address these challenges, I propose a hybrid deep learning framework that integrates multiple advanced techniques to enhance the detection and segmentation of brain tumors. My approach starts by using the 3D CNN-LSTM (ResNet3D-LSTM) to extract spatio-temporal feature, which utilizes ResNet3D for spatial detail extraction and LSTM for temporal coherence across …

Framing Inclusive Heritage Urbanism Reconfiguring Publicness In Mosque-Centered Precincts In Historic Cairo, Ghada Sayed Ghazala

Mansoura Engineering Journal

Mosque-centered precincts in historical cities face a continuous tension between touristic-led redevelopments, security management policies and urban life of commons. Recently in Historic Cairo state-led interventions occur in major mosque-centered settings with upgrading intent by enhancing visual order, crowd control and visitors’ experience, yet socio-spatial inclusivity stayed insufficiently incorporated in those implications. This study discourses this gap by initiating the Heritage Socio-spatial Inclusivity Framework (HSIF) to assess inclusivity across major mosque-centered realms – AL-Hussein Mosque & Al-Sayida Zeinab Mosque precincts -

HSIF synthesized urban design & heritage conservation concepts through indicators covering aspects like communal livability, users experience, governance & …

A Machine Learning–Based Framework For Traffic Classification And Threshold-Based Load Management In 5g Network Slicing, Safi Ibrahim, Younis S. Younis, Kamal S. Hamza, Mohamed M. Ashour

Mansoura Engineering Journal

This study proposes a machine learning–based framework that applies machine learning techniques to improve the efficiency of 5G network slicing through automated traffic classification and threshold-based load management . The proposed model optimizes resource allocation among the three standardized 5G slice types: enhanced Mobile Broadband (eMBB), ultra-Reliable Low-Latency Communication (URLLC), and massive Machine-Type Communication (mMTC). Two supervised learning algorithms—K-Nearest Neighbors (KNN) and Support Vector Machine (SVM)—are trained using Quality of Service (QoS) parameters such as packet delay, loss rate, and Quality Class Identifier (QCI). Experimental evaluations were conducted on two large-scale datasets containing over 400,000 traffic instances, demonstrating that the …

A Dual-Domain Face Forgery And Deepfake Detection Framework, Neha Pradyumna Bora, Pradyumna Mulchand Bora, Rushikesh Sanjay Kumavat, Raunak Manoj Gangwal, Prit Sandesh Jain, Hardik Vijay Ostwal

Mansoura Engineering Journal

Concerns about media authenticity, privacy, and information security arising from rapid advances in deepfake technology have made it increasingly important to detect manipulated facial content reliably. The primary goal of our work was to develop a deepfake detection model with high generalization across multiple datasets. To achieve this, we developed a hybrid detection approach that combines spatial visual texture analysis and frequency-domain analysis to detect manipulated facial images. Our approach includes convolutional spatial feature extraction from facial images and frequency—domain representations of the same images obtained by applying the fast Fourier transform. To help alleviate concerns about overreliance on frequency—domain …

Advancing Ultrahigh Carbon Steel Characterization: A Metaheuristic-Tuned Deep Learning Approach, Walaa Omar El-Farouk Badr, Hossam El-Din Mostafa, Rania Elbana

Mansoura Engineering Journal

Accurate classification of ultrahigh carbon steel (UHCS) microstructures is essential for elucidating processing-structure-property relationships and enhancing material performance. While convolutional neural networks (CNNs) offer powerful automated classification, navigating their complex, high-dimensional hyperparameter spaces present a significant computational bottleneck. To advance automated materials characterization, this study proposes a metaheuristic-tuned deep learning approach for robust and efficient microstructure classification. Two architectures, VGG16 and MobileNetV2, were evaluated under both pretrained and fine-tuned configurations, with Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Ant Colony Optimization (ACO) applied for systematic hyperparameter tuning. Results show that GA substantially improves the performance of fine-tuned VGG16, achieving …

Edge Guided Channel Attention In Fsrcnn: A Novel Approach For Depth Super Resolution, Yagneshkumar Jayantilal Parmar, Paresh M. Dholakia

Mansoura Engineering Journal

Depth images from low-cost sensors often suffer from blurred edges and structural distortions when processed with standard super-resolution models. While FSRCNN is efficient for RGB images, it struggles to handle the unique geometric requirements of depth maps. To solve this, we propose the Edge Guided Channel Attention FSRCNN (EGCA FSRCNN). This method incorporates an edge-guided modulation mechanism to preserve object boundaries and a Squeeze and Excitation (SE) block to focus on critical structural features. A major benefit of this framework is the use of frozen, pretrained FSRCNN weights, which bypasses the requirement for retraining. Our evaluation on the UTKinect, Middlebury, …

Multi-Method Energy Optimization: Linear Programming, Hmm Modeling And Arduino-Based Simulations, A.E. El-Alfy, Eman Elayat, M. A. E. Sheta

Mansoura Engineering Journal

This paper presents the simulation and optimization of hybrid energy systems integrating renewable energy and storage technologies. Linear Programming (LP) is utilized to minimize operational costs, while a Hidden Markov Model (HMM) improves reliability by accurately predicting energy flow. Hardware-in-the-loop simulation in Proteus demonstrates efficient energy trading, significantly reducing dependence on conventional sources. The results from a 24-hour analysis show that the system achieves an 87.14% load factor, indicating high efficiency in utilizing the system's rated capacity, 26.23 system reliability, and a 20% improvement in cost efficiency and enhanced sustainability, providing a robust and practical framework for hybrid energy solutions …

Trident-Bladder: A Resolution-Aware Multimodal System For Robust, Calibrated Bladder Cancer Diagnosis Across Endoscopy, Histopathology, And Liquid Biopsy, K. Sankar, S. Venkata Lakshmi, Gummadi Reshma, V. Gokula Krishnan, M. Ganesan, V. Vijayaraja

Mansoura Engineering Journal

Bladder cancer diagnosis demands the integration of cystoscopy, histopathology, and biomarker testing, yet the majority of AI systems continue to be modality, specific and sensitive to acquisition variations. TRIDENT, Bladder is a resolution, aware multimodal framework that we have developed to address this issue. The method combines cystoscopic lesion segmentation, whole, slide image (WSI) molecular subtype prediction, and urine miRNAclinical data through reliability, weighted fusion and a utility, aware decision policy. The endoscopic branch features a quality, gated super, resolution component, resulting in mDice 87.5, sensitivity 92.1%, precision 91.4%, boundary, F1 85.3%, and ECE 0.023 at 32 FPS. mDice on …

Green Hydrogen-Based Decarbonization Approach For Steel Industry With Hybrid Renewable Energy Sources, Raju Kumar Maurya, Dharmbir Prasad, Rudra Pratap Singh

Mansoura Engineering Journal

This work provides a micro-pilot techno-economic and environmental assessment of a green hydrogen-driven decarbonization scenario for low-carbon steel production at the capacity of 1 ton steel produced (i.e., requiring 50 kg of green hydrogen). In this work an integrated renewable energy (RE) scenario for the steel production site at Jamuria, West Bengal, India is planned to utilize solar photovoltaic (PV), wind turbines (WTs), battery storage and a diesel backup generator to meet the hydrogen production load from an electrolyzer using HOMER Pro software. The results show that the proposed micro-pilot system produces excess electricity with respect to the plant's operating …

The Global Onboard Training Programme (Gobt) : A Comprehensive Review, World Maritime University

Reports

A stable supply of qualified seafarers is a critical component of the global maritime logistics industry, which relies heavily on maritime transportation. According to the 2021 BIMCO Manpower Report, an additional 89,510 officers will be needed by 2026. In 2021 alone, there was already a deficit of 26,240 STCW-certified officers, clearly indicating that demand continues to outpace supply. The report also noted a 45.8% increase in the number of female seafarers since 2015, although they still represent only a small share of the overall workforce. Maritime Education and Training (MET) institutions around the world continue to provide training to develop …

Left-Hand Technique And The Limits Of The Possible, Ricardo Iznaola

Soundboard Scholar

This article conceptualizes classical guitar left-hand technique through a physiomechanical framework that places coordinated movement—particularly shifting—at the center of technical practice. Challenging traditional positional doctrines that privilege static hand forms and digital independence, the author argues that such approaches often disregard the functional anatomy of the limb, resulting in inefficiency, unnecessary tension, and potential injury.   Advancing the principle that form must follow function, the study proposes shifting as the fundamental technical category governing all left-hand procedures. A systematic typology—interpositional, intrapositional, and compound shifting—serves as the basis for analyzing arm-wrist-hand coordination across diverse technical contexts, including extensions and contractions, barrés, slurs, …

Tuned Out Or Dialed In: How Attributions Shape Observer Reactions To Music Listeners At Work, Oguz Gencay, Trevor Foulk, Michael Schaerer

Research Collection Lee Kong Chian School Of Business

Music listening while working is prevalent in contemporary workplaces, with extensive research demonstrating its psychological and behavioral implications. Shifting focus from intra-individual outcomes, the present research examines the social implications of music listening at work. To do so, we adopt a novel third-party perspective to investigate how observers perceive and react to music listeners. Building on attribution theory, we argue that music listening is an ambiguous behavior that invites observers to make leisure or productivity attributions, thereby shaping how they perceive and treat music listeners. We hypothesize that observers perceive music listeners (vs. non-listeners) as less engaged if they attribute …

Trading With The Enemy: A Coopetitive Perspective Of Resource Exchange At Arm’S Length, Zhefei Li, David Gomulya, Heli Wang

Research Collection Lee Kong Chian School Of Business

Research Summary: Research on inter-firm cooperation often focuses on long-term strategic alliances while overlooking the distinct form of arm's-length resource exchanges. Our study addresses this gap using the National Basketball Association (NBA) data for precise resource exchange measurements. Contrary to strategic alliances, where competitive pressure fosters cooperation, we find that competitive pressure reduces cooperation in arm's-length exchanges. However, relational capital helps to facilitate resource exchanges. We also found that while resource bundling exacerbates the negative effect of competitive pressure, it amplifies the positive effect of relational capital. Interestingly, relational rivalry intensifies the impact of competitive pressure but does not diminish …

Spanish Flu Hits New York City In 1918, Eric C. Cimino Ph.D.

History and Political Science: Faculty Publications

A look at how the city and one of its hospitals, Willard Parker Hospital for contagious diseases, responded to the pandemic.

From Classroom To Career: Use Of Digital Collaboration Tools To Bridge Theory & Practice, Della Clark, Kristina Kaufman, Sphurti Sewak, Peter Kaufman, Rick Valentin, Hulda Black

Faculty Publications – Marketing

Teamwork and project management skills, from in-person to remote interactions, remain central to marketing graduates’ career readiness, yet students often complete team projects with limited guidance on how to organize work, especially in hybrid and technology‑mediated environments. This study explores a pilot of integrating Miro, a widely used digital collaboration whiteboard, into classroom student projects. A pre- and post-survey design was implemented across two undergraduate marketing courses at a large Midwestern U.S. university to explore if Miro can improve students’ team‑project experience and perceived preparedness for working with emerging technologies. Students completed a questionnaire at the beginning of the semester …

Conceptualizing The Receipt Of Unfair School Discipline Through A Betrayal Trauma Lens, Charles Bell, Alexia Angton, Sarah Franklin, Michayla Mack, Pavel Ahmed

Faculty Publications - Criminal Justice Sciences

We contribute to the literature on school discipline by investigating why some Black students, parents, and advocates perceived particular punishments as unfair. Using Betrayal Trauma Theory (BTT) as a framework, we conducted qualitative interviews with twelve Black parents and five community activists who assisted Black children throughout the school discipline process and perceived such punishments as unfair. We also interviewed four Black children who received punishments at school that they perceived as unfair. Participants reported that instances of unfair school punishment created barriers to graduation, criminalized Black students, and permitted victimization to occur on school grounds.

Course Revision To Enhance Preservice Student Knowledge Of And Engagement Within Collaborative Learning Communities, Emily M. Jones, Oscar Nunez Enriquez, Zack Beddoes, Dan Phelps, Deborah Garrahy

Faculty Publications - Kinesiology and Recreation

This article shares a collaborative approach to refining an upper-level physical education teacher education seminar course. The primary goal of this refinement was to thoughtfully consider the existing course structure, content, and relevance to the evolving needs of schools. The approved course content focused on sociopolitical issues in education, strategies to navigate the complexities of professional roles in schools, and the transition into the teaching workforce. Through this process, the use of professional learning communities (PLCs) was considered as a viable approach to support preservice teachers’ learning and engagement in course content. Furthermore, by embedding PLCs into the course, the …

Unshackling The Coffee Supply Chain: An “Ethics Project” For Catholic Colleges And Universities, Bernard Prusak, Kimberly Lamberty

2026 Faculty Bibliography

Against the background of a growing and increasingly sophisticated body of theological literature on economic ethics, this article proposes a project to change for the better, morally, how coffee is supplied on the campuses of Catholic colleges and universities. We argue that this project is squarely in service of a Catholic college or university’s core educational goal of humane development of its students. The article then proceeds in three steps. First, we explain how the coffee supply chain works and how it is entangled in what Pope Francis called “the economy that kills.” Second, we discuss obstacles to our proposed …

Shifting Tide: A Comparative Analysis Of News Coverage Of The Israeli–Palestinian Conflict, Devon Skufca, Gloria S. Vaquera

2026 Faculty Bibliography

Internationally, the ongoing conflict between Israel and Palestine has been widely reported for years in mass media. Most recently, the attack on Israel on October 7, 2023, again focused international attention on this region. Examining how this conflict has been reported starting October 2023 and for the subsequent eight months provides an opportunity to examine the framing of these events. This comparative study examines two newspapers of record, one from the United States (a known ally of Israel) and the other from Ireland, often seen as more sympathetic toward Palestinian statehood. A total of 179 articles from the New York …

Formation-Based Ai Ethics: Ethical Formation, Responsibility, And Opportunity Cost In Ai Ecosystems, Maurice Emelu

2026 Faculty Bibliography

Recent efforts in AI ethics have been dominated by the proliferation of high-level principles intended to guide responsible development and deployment. Yet persistent implementation failures suggest that principlism and tool-based approaches alone do not cultivate the moral capacity required to govern sociotechnical systems. This article advances a formation based framework for AI ethics that situates moral agency throughout the developmental conditions of design, use, and the AI lifecycle. Drawing on Aristotelian-MacIntyrean virtue ethics applied to media ecology, and sociotechnical responsibility, the argument reframes AI as a formative environment that shapes patterns of attention, judgment, delegation, and accountability over time. Against …

Grading In The Digital Age: Ai Feedback Versus Professor Feedback, Latoya Russell, Andrew Zeisler, Ronald Mickler Jr.

2026 Faculty Bibliography

Feedback is a cornerstone of academic development, particularly in marketing education, where skill development often requires iteration and applied practice. While instructors spend considerable time providing effective feedback, artificial intelligence (AI) tools can significantly reduce this burden by generating timely, tailored responses. For example, AI-based chatbots can supplement instruction, providing students with timely feedback and reducing instructors’ workload. This study examines how marketing students perceive feedback quality based on its source, specifically whether it is delivered by an AI system or a human instructor. Through a scenario-based experiment, we investigate student perceptions of feedback quality and effectiveness based on the …