Digital Commons Network^™

Realization Of Water Tidal Datum Levels From Observed Sea Level Data In Damietta Harbor, Egypt, Mohamed M. Helmy, Amr N. Shokry, Mohamed M. Youssef, Ahmed M. Khedr

Mansoura Engineering Journal

Sea level is an essential oceanographic parameter in hydrographic surveying that is always necessary for the realization of Chart Datum (CD). The International Hydrographic Organization (IHO) defines sea levels as those expected to occur under typical meteorological conditions, regardless of any possible combination of astronomical conditions. The current research focuses on analysing the observed sea level in Damietta Harbor, using two sets of sea-level records obtained from two sensors: a pressure sensor and a radar sensor. These records were collected from a tide gauge station located at Damietta Harbor from July 1, 2019, to March 2, 2020. Furthermore, harmonic analysis …

Optimized Vgg16 For Multi-Class Classification Of Alzheimer's Disease, Amira M. Basuoni, Hussein Seleem, Amira S. Ashour

Mansoura Engineering Journal

Alzheimer’s disease (AD) is a severe neurological disorder that leads to memory loss and other cognitive impairments, ultimately resulting in death. With the advancement of deep learning, several researchers implemented a deep learning (DL)-based classification system for diagnosing such disease. However, determining the proper setting of the parameters, like learning rate and the number of dense units in the classification model is essential to achieve the best performance. Although manual tuning and grid search methods may be used, they are often time-consuming and cannot achieve the optimal model’s design. Accordingly, this paper proposed an improved model of the Visual Geometry …

Adaptive Watermarking Scheme For Enhanced Image Authentication And Restoration, Merna E. Ibrahim, Mohamed G. Abdelfattah, Mohamed A. Mohamed

Mansoura Engineering Journal

Traditional fragile watermarking schemes often struggle to balance tamper detection accuracy, image quality, and processing speed. This paper presents a novel adaptive fragile watermarking scheme that leverages Canny-edge detection to dynamically adjust watermark embedding based on image features. The proposed approach classifies image regions into smooth and dense areas. Larger 4×4 blocks are employed in smooth regions, prioritizing visual quality and processing speed, while smaller 2×2 blocks are used in edge and dense regions to enhance tamper detection accuracy. This adaptive strategy effectively balances competing factors, resulting in superior recovered image quality compared to fixed-block schemes. Experimental results demonstrate the …

Exploring The Urban Design Approach For Promoting Mental Wellbeing In Campus Open Spaces, Nesma Sherif Samir Elrafie, Ghada Farouk Hassan, Mohamed A. El Fayoumi, Ayat Ismail

Mansoura Engineering Journal

Multiple studies have confirmed that human interaction with their surrounding environment affects mental wellbeing. Urban design is concerned with shaping the environment, and thus can contribute to promoting mental wellbeing. Global attention is now focused on mental health, especially among university students, who are more prone to mental health challenges. Thus, urban spaces, especially campus open spaces, are increasingly recognized as more than just physical environments as they influence emotional states, cognitive functions, and social behaviors of students. Designing campus open spaces that have the capacity to promote mental wellbeing is now of greater importance than ever. The research investigated …

Ad2c-Sg-Tl: Alzheimer's Disease Detection And Classification Based On Stacked Generalization And Transfer Learning Approaches, Mariam Gamal Alboghdady, Amira Y. Haikal, Hesham H. Gad, Noha A. Sakr

Mansoura Engineering Journal

Alzheimer's disease (AD) is a degenerative neurologic illness that causes brain atrophy and cell death. Although there is no cure for AD, diagnosing its onset can be very beneficial in the medical field.This paper presents a deep ensemble learning framework for classifying AD stages. Transfer learning (TL) is applied using eight pretrained convolutional neural networks (CNNs) (i.e., VGG16, VGG19, ResNet50V2, MobileNet, DenseNet121, DenseNet169, Xception and MobileNetV2). Stackedgeneralization ensembles techniques are used to provide greater generalization by combining finetuned models with five ensemble models. Using five different stacked ensembles (SE) models to improve the generalization.The ensemble model created by combining all …

A Generalized Form To Some Classes Of Special Functions With Applications, I. L. El-Kalla, R. A. Abd El-Monem

Mansoura Engineering Journal

Based on El-Kalla expansion theorem in [1], this paper introduces a new form of special function. Through this new form, some new results are obtained and the results in the literature are confirmed. The new function is simple in computations, and it could be used to solve some classes of integral equations.

A Multi-Variate Rotating Machinery Fault Optimization And Recognition Framework, Ahmed M. Abdelrahman, Amira Y. Haikal, Mahmoud M. Saafan

Mansoura Engineering Journal

Accurate diagnosis, prognosis, and forecasting of a machine's time-to-failure are crucial through the massive, profound monitoring parameters and expeditiously is essential to assist in the preservation of reliability and life remaining for the machine increase by recommending an appropriate decision to diminish the occurrence of ruinous malfunction and substantial financial losses proactively. Artificial intelligence is considered significantly crucial to specialists in diagnosing various faults. But all research, although have great accuracy, still till now have a lack on the number of considering parameters to achieve the diagnosis or prognosis.in addition to, it depends on repeat the processing for sensor reading …

Incremental Metal Forming Of Functionally Graded Aluminum-Copper Composites: A Numerical Investigation By Finite Element Analysis, Abdallah A. Elsherbiny, Tawakol A. Enab, Abdelkhalik Eladl

Mansoura Engineering Journal

Manufacturers aim to produce high-quality, cost-effective products through advanced material forming techniques. This study utilized ABAQUS® software to present and evaluate a finite element model for the incremental forming process of a functionally graded aluminum-copper material (Al-Cu FGM). The developed model incorporated the Lagrangian dynamic framework and the Johnson-Cook constitutive equation. The model enabled accurate estimation of forces, stress, and strain distributions during the incremental forming process of an Al-Cu FGM. The results demonstrated that the algorithm effectively predicted these critical characteristics, which are significant for optimizing manufacturing processes. Although the model successfully replicated the material's stress responses, further refinement …

Merging Biophilic Design Approach Into University Learning Interior Spaces: An Applied Experience, Sara M. Atwa

Mansoura Engineering Journal

Incorporating living elements into educational environments is a crucial matter, as many educational spaces are deprived of natural features. Designers should incubate this way of thinking to generate healthy and inspiring spaces for students. The biophilia hypothesis reveals that humankind has a genuine connection with the natural environment which makes us happier and healthier. Biophilic design has motivated architects to merge nature within the interior spaces using plants, reclaimed wood, water features, and daylight. Thereby, this manuscript debates that educational spaces – particularly in universities – requisite a sincere interaction with the nature environment by embracing biophilic design as an …

Mathematical Modeling For Pile Yarn Length And Crimp Ratio In Woven Terry Fabric, Elham E. Elemam, Hamdy A.A. Ebraheem, Ahmed S. Eldeeb, Rehab Abd Elkhalek

Mansoura Engineering Journal

In this research, a mathematical model for predicting the consumed length and crimp ratio of pile warp yarns in woven terry towel fabrics was developed. The mathematical formulas interrelate the construction parameters of the woven terry fabric such as weave structure, weft count, weft density, counts of pile and ground warp yarns and loop length with the consumed length and crimp ratio of pile warp yarns. Experimental verification was conducted on nine terry cotton fabric samples produced with three different levels of weft density, weft count and loop length. Results showed that theoretical values highly corresponded to the measured values …

Real-Time Intelligent Parking Management In Smart Cities Using Internet Of Things, Genetic Algorithms, And Machine Learning, Mohammed Abo-Zahhad, Mohammed M. Abo-Zahhad

Mansoura Engineering Journal

Smart city parking systems face significant challenges related to real-time availability updates, security vulnerabilities in RFID-based access, and connectivity issues. To address these limitations, this paper proposes a comprehensive two-stage intelligent parking system that integrates Internet of Things (IoT), Genetic Algorithms (GAs), and Machine Learning (ML) techniques. The system utilizes sensor technologies, such as infrared sensors and ESP8266 controllers, combined with a mobile application to monitor and manage parking space occupancy in real-time efficiently. In the first stage, real-time parking availability is detected through sensor data transmitted to a cloud infrastructure that updates the user interfaces. The second stage employs …

Optimal Design Of An Off-Grid Hybrid Renewable Systems With Battery Storage For Rural Electrification Of Academic Community In Ibogun Campus, Nigeria, Ayodeji Akinsoji Okubanjo, Alexander Okandeji, Ignatius Kema Okakwu, Benjamin Akinloye, Abisola Olayiwola

Mansoura Engineering Journal

In an era where the debate on climate action has evolved from mere awareness to urgent implementation, energy-efficient management strategies are crucial. The energy mix, combined with optimal design of hybrid renewable energy systems, is a potential option to limit the increase in demand for fossil fuels and the climate issue. As a result, this study proposes an optimal design of hybrid renewable systems using technoeconomic criteria to meet load demand in the Department of Electrical and Electronics Engineering at Olabisi Onabanjo University. The model combines an off-grid energy alternative with a battery storage system. The primary goal is to …

Optimum Design Of Three-Phase Wound Rotor Induction Machine Using Giant Trevally Optimizer Technique, D. El-Hassanein, Abd Al Rahman Amin, Eid Gouda, Mohamed F. Kotb

Mansoura Engineering Journal

Conventional sizing methods for electric machines often result in large dimensions, excessive weight, even when following correct design principles. In this paper promising Giant Trevally Optimizer “GTO” is employed as a swarm intelligence-based optimization algorithm inspired by the social behavior of giant trevally, to design a three-phase wound rotor induction machine “3WRIM”. The optimization process targets four key objectives: maximizing efficiency , and minimizing weight per kilowatt “ ”, temperature rise , and the no-load current to phase current ratio . These objectives are optimized both simultaneously and individually while adhering to a set of practical design constraints. To validate …

Shear Strengthening Of Reinforced Concrete Beams Using Pre-Fabricated Ultra-High Performance Fiber Reinforced Concrete (Uhpfrc) Laminates: Experimental Investigation, Mostafa Khairy Elkady, Khalid Mohamed El-Sayed, Marwa Ibrahim Badawi, Gamal Ismaail Khaleel

Mansoura Engineering Journal

This study examines the effectiveness of prefabricated ultra-high-performance fiberreinforced concrete (UHPFRC) laminates in shear strengthening reinforced concrete (RC) beams. A total of nine reinforced concrete beams were cast and tested under a four-point loading till failure. The following key parameters were investigated: the number of strengthening sides, the thickness of the UHPFRC layer, the reinforcement of the strengthening layer (by using two different types of steel mesh, and also, in case of no-steel mesh), the volume fraction of steel fibers, and bonding schemes steel dowels and / or epoxy. The ultimate load and ductility of the strengthened beams have increased …

Effects Of Crevice Corrosion On Metal Adhesive Performance And Shear Strength In Marine Environments, Westin Johnson

Electronic Theses and Dissertations

Corrosion is a leading challenge that engineers and researchers face when working in marine environments. Annually, corrosion costs an estimated $2.5 trillion globally and can lead to environmental damage and pose a threat to public safety. This thesis investigates the effects of crevice corrosion on the performance of different epoxy adhesives when mated with stainless steel to determine if using epoxy is a viable option for the development of systems operating in marine environments. To accomplish this, metal-to-metal lap shear samples were created using Araldite 2015-1, Plexus MA560-1, Plexus MA310, and Plexus MA8120 epoxies and different preparation methods. These samples …

Directors’ Professional Experience, Firm Risk, And Corporate Policies, Esteban Hernandez

Electronic Theses and Dissertations

Essay 1 examines whether directors’ prior negative professional experiences— such as bankruptcies, stock price crashes, bond downgrades, and cash flow shocks— affect firm risk, financial policies, and performance. Using a panel of 48,288 board members across 5,324 U.S. industrial firms from 1984 to 2023, I construct a composite distress measure based on directors’ pre-board employment histories. Firms with a higher proportion of distress-experienced directors exhibit significantly lower return volatility, more conservative financial policies—including lower leverage, higher cash holdings, and reduced dividends—and greater policy persistence. These effects are strongest among independent directors and those chairing advisory committees. Causal evidence is supported …

Evaluation Of The Corrosion Of Metallic Fastener Joints In Composite Materials Immersed In Seawater, Chloe Derrico

Electronic Theses and Dissertations

The corrosion behavior of metallic fasteners in contact with composite materials in marine environments remains a critical concern for structural integrity and long-term performance. This study evaluates the corrosion of marine fasteners of various materials in contact with glass fiber, carbon fiber, hybrid glass-carbon fiber, and G10/FR-4 Garolite composite plates. The research focuses on localized corrosion mechanisms, include crevice and pitting corrosion, as well as the influence of composite interactions. Samples were exposed to three environmental conditions: full immersion tanks, tidal tanks simulating the high and low tides, and deployment on a barge on Florida’s intracoastal waterway, with antifouling paint …

Dual Language Programs: An Exploration, Amanda Burke

Electronic Theses and Dissertations

This research is an exploration into: 1) the utilization of programs that teach students English as a second language in the US, particularly Dual Language programs, 2) a history of research surrounding the formation of an individual or group identity, both overall and through an ESOL lens, and 3) how ESOL instruction in the US may be impacted by certain aspects of this identity construction.

After a review of research, this dissertation analyzes a cohort of students from the Palm Beach County School District who were enrolled in either a Dual Language program or in a “traditional” ESOL program from …

Dialectical Behavior Therapy Integration In Counselor Education: Theory, Development, Implementation, And Efficacy Of A Dbt-Informed Supervision Protocol For Counselor Trainees, Clara Bossie

Electronic Theses and Dissertations

This multi-manuscript dissertation illustrates the progression from theoretical development to practical intervention research in counselor supervision, introducing innovative supervisory practices in counselor education that balance well-being with academic rigor, addressing counselor trainees' common challenges such as anxiety, burnout, and limited self-efficacy. Following a literature review, this dissertation bridges theory and practice by offering counselor educators and supervisors a comprehensive, evidence-informed approach to developing resilient, competent, and psychologically well counseling professionals. The research progresses through three interconnected phases using qualitative and quantitative methods. Constructivist grounded theory (CGT) explores counselor trainees' supervisory experiences, highlighting the significance of responsive supervisory relationships and validation. …

An Analysis Of Doctor Of Philosophy Time-To-Degree Predictors, Christian A. Decle

Electronic Theses and Dissertations

Doctoral-granting institutions invest time and resources to support the success of their Doctor of Philosophy (PhD) students. Despite these efforts, doctoral attrition rates remain high. One measure used to understand doctoral attrition and completion rates is time-to-degree (TTD). In 2020, the median TTD from the start of graduate school increased to 7.5 years (National Center for Science and Engineering Statistics [NCSES], 2020b), highlighting the need for continued analysis of factors affecting TTD. This study used data from the 2021 Survey of Earned Doctorates (SED; NCSES, 2021a) to provide a more recent analysis of the relationship between TTD and both student …

Can Servant Leadership Reinvigorate Communities Of Faith, Jonathan Owens

Electronic Theses and Dissertations

This study examined the relationship between servant leadership characteristics and church growth in Episcopal congregations. Using quantitative analysis, the research assessed whether leadership characteristics—such as emotional healing, creating value for the community, conceptual skills, empowering followers, helping followers succeed, putting followers first, and behaving ethically—were significant predictors of numerical growth. Data were collected from 40 churches (20 growing, 20 declining), with leadership perceptions measured through a validated servant leadership instrument.

The findings indicate that while growing churches exhibited slightly higher mean scores across several servant leadership characteristics, none of the differences were statistically significant. Logistic regression analysis further demonstrated that …

Importance Of Social Support: Buffer To Social Identity Threat In Institutions, Kaylah J. Scott

Electronic Theses and Dissertations

Due to the minority status non-white students face in higher education, they are susceptible to social identity threat (Steele & Aronson, 1996), which may lead to psychological distress. However, social support, particularly from in-groups, offsets related distress consequences, e.g., self-esteem, anxiety, and depression (Haslam et al., 2021). This study investigates social support, through collective racial socialization, as a buffer for social identity threats to minority college students. I investigated Hispanics and Black undergraduates' self-esteem, using the Rosenberg Self-Esteem Scale (Rosenberg, 1979), before and after stereotype threat, with participants in minority-centered organizations as the moderator. Results revealed that there was a …

The Impact Of The Imsd Mentorship Program On Stem Doctoral Graduation Rates: An Application Of Elite Theory, Kristen Alexandria Walden

Electronic Theses and Dissertations

Disparities in doctoral STEM completion rates among underrepresented groups raise questions about institutional power and access in higher education. This dissertation investigates graduation rates among minority doctoral students in science, technology, engineering, and mathematics (STEM) fields, comparing results at public and private universities through the lens of elite theory. Elite theory asserts that power is concentrated within small groups or institutions that influence national and institutional outcomes. Although public administration literature addresses elite power structures in universities, less research has examined how these dynamics influence graduation for underrepresented groups in doctoral STEM disciplines.

This study applies elite theory to explore …

Top Management Team Composition And Financial Reporting Quality: A Faultline Perspective, Tyler Ricco

Electronic Theses and Dissertations

This study examines whether faultlines within top management teams (TMT) influence financial reporting quality (FRQ). Faultlines reflect hypothetical divisions within a group based on team members’ unique demographic characteristics and experiences. Using a large sample of U.S. firms from 2003 to 2020, I construct a faultline measure based on executive gender, age, tenure, education, and board experience. I test whether faultlines negatively associate with FRQ, proxied by measures of restatements and accruals quality. I further investigate faultline type, based on the demographic (gender and age) and task-related (tenure, education, and board experience) components. The main results do not support the …

Does Exclusive Breastfeeding Duration And Quality Affect Maternal Sensitivity: Fear Vs. Normative Situations, Camila Herrera Zamora

Electronic Theses and Dissertations

The present study examined whether exclusive breastfeeding duration and perceived breastfeeding quality predict maternal sensitivity across emotionally challenging versus normative caregiving contexts in infancy. Twenty-four mother–infant dyads participated in three laboratory visits during which maternal sensitivity was assessed across interaction conditions. It was hypothesized that (1) longer breastfeeding duration would be associated with greater sensitivity during fear-inducing contexts, (2) breastfeeding duration and quality would interact to predict sensitivity, and (3) sensitivity would be higher during fear-inducing situations. Contrary to expectations, maternal sensitivity was highest in the normative/free-play condition and increased over time, peaking at 14 to 16 months. Exclusive breastfeeding …

Psychometric Properties Of A New Acculturation Scale For Latinos/Hispanics, Alicia Goytizolo

Electronic Theses and Dissertations

The current study evaluated the psychometric properties of the newly developed Multi-Ethnic Acculturation Scale (MAS), a multidimensional instrument designed to assess behavioral and cognitive aspects of cultural adaptation among Hispanic/Latino individuals in the United States. A sample of 208 adults from diverse Hispanic backgrounds completed the MAS alongside two validated acculturation measures: the Short Acculturation Scale for Hispanics and the Vancouver Index of Acculturation. Exploratory factor analyses revealed a partially distinct but moderately correlated factor structure for both American and Latino cultural orientation subscales, supporting a bidimensional conceptualization of acculturation. Internal consistency was high across both subscales (Cronbach’s α > .90), …

M3t, Mariia Khan, Jumana Abu-Khalaf, David Suter, Bodo Rosenhahn, Yue Qiu, Yuren Cong

Research Datasets

For embodied agents, such as robots, tracking objects in their surroundings through visual observation is essential — a task, referred to as Visual Object Tracking (VOT). For instance, during a rearrangement task, a robot may need to track objects, as part of the scene change understanding process, to accurately restore them to their original states. Classic Multiple Object Tracking (MOT) datasets typically focus on tracking moving, single-class object instances in a video from a fixed viewpoint, limiting their applicability to embodied AI tasks. In embodied AI tasks, objects belong to multiple classes, are often static, and are observed from continuously …

Saom, Mariia Khan

Research Datasets

The SAOM dataset is created for the evaluation of the whole-object semantic segmentation in embodied AI indoor environments. The SAOM dataset is tailored for segmentation in dynamic embodied environments, focusing on interactable objects. It includes 54 object classes, all of which are either `pickupable’, `openable’, or `receptacles`. Unlike static-object datasets, the objects in SAOM can undergo transformations, such as being opened, closed, or moved.

Anomaly Detection Of Seasonal Vessel Activity, Travis Rybicki

Theses: Doctorates and Masters

Monitoring maritime traffic is essential for ensuring the safety of vessels, safeguarding transported goods or persons, and preventing illicit or hazardous activity at sea. Increasingly, researchers have explored data-driven approaches to model expected vessel behaviour and detect deviations or anomalies. These anomalies—such as course deviations, unauthorised area entries, or unexpected operational patterns—can indicate emergencies, regulatory breaches, or unlawful intent. Data broadcast by vessels provides a valuable resource for such analyses; however, the inherent complexity and context-dependency of maritime behaviour present persistent modelling challenges. One critical yet underutilised factor in this context is seasonality. For certain vessel types, for example, fishing …

Shaping Pakistan's Future, Sdsb 360 Magazine

Faculty Research - Newspaper and Magazine Articles

SDSB 360 is in conversation with Dr. Ishrat Husain, an influential Pakistani banker, economist, and reformer whose leadership has shaped Pakistan’s financial landscape. From steering the State Bank of Pakistan (1999–2006) to driving educational excellence as Dean of IBA Karachi (2008–2016) and championing institutional reforms as Advisor to the Prime Minister (2018–2022), Dr. Husain’s career is a testament to visionary leadership and a relentless pursuit of progress.