Engineering Commons^™

Structural And Mechanical Properties Facilitate Shock Wave Damping By Helmet-Like Orbital Hoods In Snapping Shrimp, Mia Kazel, Rebekah E. Cammack, Alexandra C.N. Kingston, Ahmed A. Alshareef, Tarek Shazly, Daniel Isaac Speiser

Faculty Publications

Snapping shrimp damp the shock waves they produce and use as weapons with a helmet-like structure termed the orbital hood. Here, we ask how structural and material properties contribute to shock wave damping by orbital hoods in Alpheus heterochaelis. Using tensile mechanical testing, we find orbital hoods are approximately half as stiff as carapace and have twice the capacity for viscous energy dissipation. Microstructural features probably contribute to tissue-specific mechanical properties: the endocuticles of orbital hoods have almost twice as many lamellae as those of carapaces despite being half as thick, suggesting a mechanism for enhanced material mobility underlying …

Data Management Plans For Grant Proposals, Rubab Shahzad

Day Family Research Lab Workshop Series

Fundamentals of research data management and how to create effective Data Management Plans (DMPs) and Data Management Sharing Plans (DMSP)

Design And Economic Assessment Of A Sustainable Standalone Photovoltaic System For Hospital Lift Applications, Tasneem M. Abed, Saad S. Eskander, Mohamed A. Elsayes, Mohamed Zaki

Mansoura Engineering Journal

This study presents an optimized design and operation strategy for a stand-alone solar photovoltaic power system to drive a 4.5 kW elevator at Mansoura University Hospital, Egypt. The research aims to reduce the battery bank capacity and overall system cost while maximizing the utilization of solar panels. A novel "Optimum Operator System" is proposed, incorporating three power switches controlled by an Arduino microcontroller. The system's performance is analyzed through extensive modeling, simulation, and experimental validation. Results show a significant reduction in battery bank capacity, with 7 fewer 100 Ah batteries required compared to conventional systems. The proposed method significantly enhances …

Computational Investigation Of Cavitation Inception In Centrifugal Pumps, Mohamed Ibrahim Eldesouky, Asmaa Khater, Abdel-Rahim Dohina, Mohamed Rabie

Mansoura Engineering Journal

This study examines the effects of suction chamber baffle configurations on both hydraulic efficiency and cavitation characteristics in a low specific speed centrifugal pump. Four baffle configurations (zero, one, two, and three baffles) were tested at three different heights using refined computational fluid dynamics simulations. The Zwart-Gerber-Belamri cavitation model was enhanced by adjusting nucleation site radius and evaporation coefficient values to better align with previous research findings. Results revealed that the optimal baffle height is approximately one-third of the impeller suction eye radius, significantly improving cavitation resistance. Under non-cavitation conditions, all baffled configurations outperformed the no-baffle setup, with a single …

Enhancing Foam Concrete Performance: The Role Of Magnetized Water On Workability, Strength, And Microstructure Properties, Amr Elkazzaz, Mohamed M. Yousry Elshikh, Walid E. Elemam

Mansoura Engineering Journal

Conventional foam concrete suffers from low strength and heterogeneous pore structure due to its porous structure and incomplete hydration, limiting its structural applications. This study investigates the use of magnetized water (MW) as a mixing medium to enhance hydration efficiency and improve both fresh and hardened properties of foam concrete. Three density grades 620, 1300, and 1900 kg/m³, designated as Groups A, B, and C were prepared and tested. Compressive strength measurements indicated that MW enhanced performance across all densities. In Group A, 28-day strength increased slightly from 2.4 MPa with tap water (TW) to 2.8 MPa with MW. For …

Life-Cycle-Oriented Selection Framework For Solar Shading Devices In Hot–Arid Building Façades: From Traditional Precedents To Pv-Integrated Systems, Sameh Ahmed Qadry

Mansoura Engineering Journal

Abstract

This study proposes a life-cycle–oriented, computationally light framework for selecting solar shading devices in hot–arid building façades. While previous research has extensively analysed shading performance using detailed simulations, most studies focus on single systems or materials, rarely comparing traditional, modern, and PVintegrated solutions within a unified life-cycle and operation–maintenance perspective. The research addresses this gap by integrating three shading families—traditional local precedents (e.g. mashrabiya, rawshan), modern fixed and dynamic systems, and hybrid PV-integrated façades—into a comparative decision-support framework tailored to hot–arid climates. Methodologically, the study combines: (1) a structured descriptive–analytical literature review with analytical coding of key attributes (design …

Green Technology: A Systematic Review Of Ai And Iot Solutions For A Sustainable Future, Nesma Abd El-Mawla, Mohamed A. Berbar, Nawal A. El-Fishawy, Mohamed A. El-Rashidy, Mahmoud Badawy

Mansoura Engineering Journal

Green technology offers a solution to the pressing environmental crisis. It can change the structure and generation of waste so as not to harm the earth, and people can become environmentally friendly. To address complex environmental challenges like climate change and pollution, innovative Artificial Intelligence (A.I.) and Internet of Things (IoT) solutions are essential. These technologies can help optimize resource use, reduce waste, and promote sustainable development. However, it's crucial to balance economic growth, social equity, and environmental protection when implementing green technologies. This survey paper systematically examines the landscape of Green Technology, focusing on its pivotal components: Measures of …

Cellular Therapy For The Treatment Of Ischemic Limb Disease, Akazha Nicole Green

ETDs from 2020-2029

Ischemic limb disease continues to pose major clinical challenges. The effect of this disease causes restricted blood flow, which is followed by a limited ability to regenerate in the vascular tissues. The purpose of this study is to address the current limitations in producing large-scale generation of Smooth Muscle Cells (SMCs) derived from human induced pluripotent stem cells (hiPSCs) and then assessing their potential therapeutic efficiency individually and in combination with endothelial cells (ECs) for vascular repair. A dynamic three-dimensional (3D) culture system was integrated with a two- dimensional (2D) expansion to enhance cell culture yield while maintaining contractile marker …

Hold Paramount The Health, Safety, And Welfare Of The Public And The Planet, Daniel B. Oerther

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

No abstract provided.

Humanity Is Evolving Its Consciousness: The Role Of Archetypal Energies As Guides During An Unfolding Weeding Out And Alignment Process, Carroy U. Ferguson

Psychology Faculty Publication Series

Humanity is evolving its consciousness at individual and collective levels.  Given these seemingly tumultuous times, as of this writing (January 2026), to make such a statement may sound like a strange thing to say.  However, I suggest that if you are alive today and if you are reading these words, these are the very times for which you were born—to assist Humanity as it evolves its consciousness with your unique gifts, whatever they may be.  That is, this period of our individual and collective human being-ness may be characterized as an unfolding period of weeding out and alignment with the …

Mechanical Characterization And Modeling Of Rat Myocardia Under The Influence Of Epirubicin, Abdallah Mahmoud Alkhaiyat

Theses and Dissertations

Cancer remains a predominant health challenge that is responsible for a significant portion of global morbidity and mortality. Epirubicin (EPI), a chemotherapeutic anti-cancer drug, has shown remarkable efficacy in combating various malignancies. However, it is known to have undesirable side effects on the heart, collectively referred to as cardiotoxicity. This research investigates the adverse effects of chemotherapy on cardiac contractility through an in vitro examination of the mechanics of healthy and infarcted animal heart tissues. Electrically stimulated slices of rat ventricular tissue were tested using an isometric force measurement tissue bath. The tissue slices were subjected to uniaxial stretching, allowing …

Conserved Chromatin Programs Orchestrate Cardiac Cell States In Health And Disease And Drive Cardiomyocyte Proliferation After Injury, Xiaoxiao Geng

ETDs from 2020-2029

Chromatin structure is a central regulator of gene expression and cellular identity, yet the chromatin structural factors driving cardiac disease and regeneration remain incompletely defined. This dissertation investigates how modulation of chromatin architecture shapes pathological and regenerative cardiac phenotypes through integrated single-cell transcriptomic, epigenomic, and functional analyses. To determine whether chromatin structural regulators distinguish healthy from diseased cardiac states, we curated a comprehensive list of chromatin structural genes and applied it to single-nuclei RNA sequencing datasets from human hearts with and without dilated cardiomyopathy (DCM). Chromatin structural gene expression effectively stratified cardiomyocyte and fibroblast populations by disease status. Diseased cardiomyocytes …

Amino Acid Pet Tracers For Cancer Imaging And Response Assessment, Ugur Akca

ETDs from 2020-2029

Triple-negative breast cancer (TNBC) and high-grade glioma (HGG) pose significant diagnostic and therapeutic challenges due to their aggressive biology and the limitations of [¹⁸F]FDG PET, which suffers from nonspecific uptake in inflammatory tissues, complicating differentiation of viable tumor from treatment-related effects. Computed Tomography, while strong for structural changes, has limited soft tissue contrast for distinguishing tumor from inflammation, and Magnetic Resonance Imaging, despite superior soft tissue resolution, struggles with differentiating active tumor from post-treatment changes like edema or necrosis due to nonspecific enhancement. These challenges highlight the necessity for complementary and advanced imaging strategies for improved diagnosis and monitoring. This …

Clinical Decision Support Using Medical Imaging Artificial Intelligence, Yun-Chi Lin

ETDs from 2020-2029

Medical imaging plays a central role in modern clinical decision-making, yet its effective integration with artificial intelligence (AI) remains challenged by real-world clinical constraints. This dissertation investigates how medical imaging-based AI frameworks can be strategically designed to support clinical decision-making for two distinct but clinically critical scenarios: acute pandemic care and chronic neurodegenerative disease management. In acute pandemic settings, such as the COVID-19 crisis, healthcare systems face an urgent need for rapid risk stratification under conditions of data scarcity and operational stress including surges in patient volume and limited medical resources. This work explores strategies for developing deep learning models …

Investigating Stromal Cell-Mediated Biomechanics For Angiogenesis And Reperfusion In A 3d Microfluidic Model For Ischemic Vascular Disease, Vaishali Bala

ETDs from 2020-2029

Peripheral artery disease (PAD) affects millions worldwide, causing tissue ischemia and impaired healing due to insufficient blood flow. Current therapeutic strategies to promote revascularization remain limited, largely because the mechanical regulation of angiogenesis is poorly understood. While biochemical growth factors like VEGF have been extensively studied, the role of mechanical forces generated by stromal cells in the perivascular matrix remains underexplored. This dissertation investigated how stromal cell contractility drives vascular growth through mechanotransduction pathways and modulation of endothelial cell-cell junctions. Using 3D fibrin or fibrin-collagen-I-based microtissues and compartmentalized microfluidic devices, we characterized the mechanical phenotypes of multiple fibroblast populations and …

Mechanical Performance Evaluation Of Natural Composites Recycled Hemp Rice Bag Reinforced With And Without Silicon Carbide Particles, Gaber A. Elawadi, A. S. Fayed

Mansoura Engineering Journal

Significant progress has been made in the development of natural fiber-reinforced composite materials, owing to their potential to enhance mechanical properties while offering a greener and more sustainable alternative to traditional materials. These materials combine superior ecological benefits with enhanced mechanical performance. This study examines how recycled hemp fiber bags, including recycled hemp fibers obtained from rice hemp fiber bags, affect the mechanical characteristics of unreinforced and reinforced composites. Four composite systems were fabricated and tested: (1) HFR (randomly chipped recycled hemp fiber bags–epoxy composite), (2) HFB (continuous recycled hemp fiber bag–epoxy composite), (3) HFR SiC (randomly chipped recycled hemp …

Fuzzy Pi Controller For Frequency Control Of A Diesel-Pv-Battery-Based Islanded Ac Microgrid, M. S. Elborlsy, Ramadan M. Mostafa, Hossam E. Keshta, Mohamed A. Ghalib

Mansoura Engineering Journal

Effective management of modern electrical grids requires intelligent and adaptable control mechanisms to effectively balance power supply and demand, particularly in times of significant disturbances. Microgrids predominantly harness renewable energy sources (RES), which are inherently variable, for electricity generation. However, due to these fluctuations, conventional control systems often struggle to optimize performance under diverse operational conditions. This study addresses the need for improved frequency regulation in isolated AC microgrids (MGs) by proposing a fuzzy PI (FPI) controller capable of dynamically adjusting control strategies to accommodate disturbances such as three-phase faults, sudden changes in load, and variations in solar irradiance. A …

Biopcm-Integrated Smart Façade For Hospitals: Thermal Performance Across Floor Levels In A Hot-Arid Climate, Aia A. Qindil, Esraa Elazab, Mohamed M. Shawky Abou Liela

Mansoura Engineering Journal

Hospitals are among the most energy-intensive building types because they operate around the clock and must maintain strict indoor environmental conditions, especially in hot-arid climates. Improving their performance calls for façade solutions that can store thermal energy effectively and help cut carbon emissions. This study evaluates the use of macro-encapsulated BioPCM® within the south façade of a high-rise hospital in Mansoura, Egypt, using dynamic simulations in DesignBuilder (EnergyPlus). The analysis focuses on two vertical levels, the third floor as a typical ward and the seventh floor as a rooftop ward, to investigate how elevation influences PCM performance, an aspect rarely …

Credit Card Fraud Detection Using Metaheuristic Techniques, Narges Sabry Anwer Mohammed, Mohammed Sabry Saraya, Amr M. Thabet, Labib M. Labib

Mansoura Engineering Journal

Credit Card Fraud Detection (CCFD) has become a critical challenge to financial security due to increasingly sophisticated fraudulent activities. This study investigates the effectiveness of Meta-Heuristic (MHT) optimization techniques in improving fraud detection (FD) through feature selection (FS) and model optimization. To address class imbalance, Random Under-Sampling (RUS) was applied. The selected feature subsets were evaluated using three machine learning (ML) classifiers—Decision Tree (DT), KNearest Neighbours (KNN), and XGBoost (Xgb-Tree)—across four benchmark datasets: European, Statlog (Australian Credit Approval), PaySim, and Credit Card Transactions Fraud Detection (CCTFD). Eleven binary MHT algorithms were implemented and compared. The comparative analysis shows that the …

Why Agtech Startups Fail? Evidence From Global Shutdown Patterns In 2025 And The Cost-Adoption Mismatch Effect, Ankit Chandra, Ishani Lal

Department of Agricultural and Biological Systems Engineering: Presentations and White Papers

Agricultural technologies are widely seen as a driver for sustainability, resilience, and food-system transformation. Yet in 2025, agtech startup across North America, Europe, Asia, and Africa experienced multiple shutdowns. Although each company closed for its own reasons, the failures highlight consistent underlying patterns. We analyze 18 publicly reported shutdowns across controlled-environment agriculture (CEA), robotics, insect protein, digital platforms, sensors, and ag-biotechnology. We find that most ventures struggled not with scientific feasibility but with economic and adoption dynamics at the farm level. We identify a Cost-Adoption Mismatch Effect, in which the capital and operational burden of a technology exceeds farmers’ capacity …

Accuracy Of Glenohumeral Joint Center Of Rotation Estimates Using Traditional Motion Capture Versus Bi-Plane Fluoroscopy, Julia A. Dunn, Ola Alsaadi, Kevin Shelburne, Michelle B. Sabick

Mechanical and Materials Engineering: Faculty Scholarship

Accurate estimation of the glenohumeral joint center of rotation is critical for biomechanical modeling of shoulder motion. This study evaluated the accuracy of three predictive methods for estimating glenohumeral joint center of rotation using optical motion capture, compared against a benchmark derived from synchronous bi-plane fluoroscopy. Five healthy adults performed shoulder abduction, flexion, and external rotation in 90° abducted and adducted positions. Root mean square error and axial errors were calculated across the full range of motion. Results showed that none of the predictive methods met clinically acceptable thresholds, with absolute error exceeding 10 mm and axial errors surpassing ±5 …

An Optimized Hybrid Xgboost-Lstm-Gru Model For Energy Consumption Forecasting In Smart Homes Using Weather Data, Marwah J. Salman, Eman M. El-Gendy, Amira Y. Haikal, Mahmoud M. Saafan

Mansoura Engineering Journal

Energy consumption is increasing every day due to the proliferation of smart homes and smart household appliances, which deplete existing energy resources. Therefore, efficient energy management by accurately predicting energy consumption is critical. In this paper, a hybrid prediction model is proposed to forecast energy consumption in smart homes using weather data. The proposed system follows five steps: data acquisition, data preprocessing, feature selection, prediction, and hyperparameter optimization. In the data acquisition step, all attributes except the weather attributes are removed. The min-max algorithm is then applied to normalize the dataset to a specific scale, preventing the prediction model from …

Exploring The Role Of Occupational Therapy In The Delivery Of Trauma-Informed Services To Hospital-Based Clients Ot, Frank Czuba

Journal of Applied Disciplines

Hospitalization can traumatize clients and impact overall health outcomes, leading to increased hospital readmission rates and resulting in a negative impact for both clients and providers. Limited information exists regarding how hospital-based occupational therapists evaluate and address trauma, even though incorporating trauma-informed principles into professional practice can enhance the occupational therapy process. The study explored the comprehension and perceived significance of trauma-informed tenets among occupational therapists delivering services in hospital-based settings. A quantitative research study with an exploratory design was implemented to explore how occupational therapists (OT) understand and utilize trauma-informed practices with their clients in a hospital setting. An …

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 …

Elli’S Liquid Flow In A Wavy Channel With Slip Effect, Wall Properties, And Heat Transfer, P. Devaki, Yatin Sood

Mansoura Engineering Journal

The dual behavior of Elli’s fluid motivated us to work on it. The fluid behaves as both Newtonian/ non-Newtonian based on the low and high shear rates, respectively. The paper focused on the flow of Ellis fluid in a peristaltic channel with wall properties and heat transfer. The channel is symmetric in nature, and slip conditions are considered near the elastic walls. The governing equations of the flow are solved analytically using suitable boundary conditions, which yield velocity and temperature functions. The novelty of the paper is to analyze the nature of Newtonian/non-Newtonian fluids under the same conditions so that …

Investigation Of Factors Influencing Electric Vehicle Adoption In Indonesia: Ev Owners’ Perspectives, Desrina Yusi Irawatia, Nur Aini Masruroh, Nur Mayke Eka Normasari

ASEAN Journal on Science and Technology for Development

Electric vehicle (EV) uptake in Indonesia remains markedly below policy benchmarks. This study applies the Unified Theory of Acceptance and Use of Technology version 3 (UTAUT3), an extension of UTAUT2 that incorporates personal innovativeness as an additional construct to examine its impact on both behavioral intention and actual EV adoption within the Indonesian context. Unlike studies that typically survey the general public, this study focuses on actual EV users and owners, providing more representative and responsive insights into real-world EV usage. A total of 208 respondents participated, with 135 from the Jabodetabek area and 73 from Surabaya. The UTAUT3 framework …

A Deep Neural Approach To Network-Based Obfuscated Malware, Meera Parmar, Sunil Gautam

ASEAN Journal on Science and Technology for Development

The rising prevalence of obfuscated malware poses a critical threat to network security, undermining traditional detection methods and jeopardizing data integrity and system reliability in an increasingly connected world. This growing danger highlights the urgent need for advanced solutions to protect against evolving cyber risks. This research intro-duces a novel framework to enhance malware detection, employing a hybrid architecture that integrates spatial and temporal analysis with attention mechanisms. The approach leverages a large dataset subsample, focusing on key feature selection and augmentation to improve robustness against evasion techniques. This innovative framework offers a significant advancement in identifying malicious network traffic, …

When Words Flow Like Water: How The Enbridge Line 3 Pipeline Environmental Impact Statement Failed To Prevent Hydrogeologic Harm In Minnesota, Carly Gutzmann

Journal of Earth and Life Science

For the aquifers of Minnesota, the environmental impact statement (EIS) was a promise of protection that never left the page. An environmental impact statement is meant to be an aid in the decision making process in order to ensure that projects consider potential environmental harms that may occur. However, they are often used instead as another regulatory box to check, rather than as active considerations when planning. As such, a project plan can be flawed from the start—if project developers only consider environmental impacts after they have already put considerable time, effort, and funding into their project as-is, they may …

Captive Model Test For Hydrodynamic Derivatives Of Ship Maneuvering In Regular Head Waves, Pin-Yuan Huang, Zih-Yao Lin, Tsung-Yueh Lin, Fu-En Lee, Yan-Wei Lai

Journal of Marine Science and Technology–Taiwan

The motion of ship in wave can be discussed in seakeeping and maneuvering. In model tests, the former is found by the motion response of waves while the latter requires captive model test to acquire hydrodynamic derivatives. The hydrodynamic derivatives in waves are discovered to be different from those in calm water. To understand better the behavior of maneuverability in waves, maneuvering tests in a wide range of waves are performed in this study. This study presents an experimental investigation into the maneuvering behavior of a container ship in regular waves, covering a wide range of wavelengths from half to …

A Comprehensive Statistical And Regional Analysis Of Lng-Powered Marine Vessels On Ghg Mitigation Strategies Considering Existing Bunkering Stations And Gwp Values, Canberk Hazar, Onur Yuksel, Murat Bayraktar

Journal of Marine Science and Technology–Taiwan

This study aims to quantify and analyse emissions from marine vessels that can operate on liquefied natural gas (LNG) but continue to use conventional fuels, largely due to the limited availability of LNG bunkering stations (BSs) over long distances. Four regions have been identified as having high concentrations of LNG-fueled vessels but limited access to operational BSs: the West Coast of the United States of America (USA), South Africa–Good Hope–Madagascar, Northwest Africa, and Brazil. This selection is based on the geographical distribution of these ships and the existing infrastructure. Hourly greenhouse gas (GHG) emissions have been calculated by considering the …