Prediction Of Thyroid Disease Based On Machine Learning Algorithms, Tuqa Ahmed Elbillihy, Eman Abdelhalim, Mohamed Ashour, Hala B. Nafea

Mansoura Engineering Journal

Accurately diagnosing thyroid disease remains a challenge in medicine, necessitating the use of reliable computational techniques for early detection and categorization. Using a dataset of 3164 patient records, this study applies machine learning algorithms to create a computer-aided thyroid disease diagnosis system. The data set includes demographic information, clinical indicators, and thyroid function test results. To improve model performance, the study focuses on preprocessing approaches such as data cleaning, normalization, and feature selection. The use of feature engineering techniques to determine the most predictive characteristics associated with thyroid problems is highlighted. Five machine learning classifiers—Random Forest, K-Nearest Neighbors, Support Vector …

Seismic Behavior Of Slender Cable-Supported Braced Frame Structures, Aya Aboelnaga, Mohamed Mortagi, Mohamed E. El Madawy, A.H.A. Abdelrahman, M. Naguib

Mansoura Engineering Journal

This research investigates advanced strategies to enhance the seismic performance and global stability of slender steel frames by integrating cable-supported and braced systems. To address these challenges, the study develops finite element (FE) models of multi-story slender frames in SAP2000, incorporating both cable-supported configurations and diagonal bracing systems. Nonlinear time-history analyses are performed using selected earthquake ground motions to evaluate structural response, inter-story drift, and mode shape behavior. Results highlight the efficiency of cablesupported frames in controlling lateral displacements and redistributing forces, while also emphasizing the role of bracing in providing additional stiffness. The findings demonstrate that guided frames with …

A Proposed Vision To Activate Smart Urban Growth Concepts For The New Egyptian Cities, Nirman M. El-Sayed, Mamdouh A. Al-Minshawi

Mansoura Engineering Journal

Smart urban growth is the ideal solution to urban problems within the cities of the fourth generation in Egypt, and despite this, most of them depend on traditional urban thought without activating "Smart Urban Growth", which is known to maintain lands from deterioration and make societies suitable for living and providing the necessary services. The goal of research to set standards to activate smart urban growth as a thought that keeps pace with sustainable urban development and Egypt's 2030 vision, work to use the global smart cities approach and how they reach intelligence. While the research follows the "analytical" deductive …

Finding Research Datasets And Evaluating Data Quality, Ibis Anette Moreno-Lozano Phd.

Day Family Research Lab Workshop Series

No abstract provided.

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 …

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 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 …

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 …

Efficacy And Safety Of Semaglutide In Adults Without Diabetes Who Are Overweight Or Obese, Rebecca Petty

The PA Department Journal of Medical Science

INTRODUCTION:

Obesity is associated with an increased risk of cardiovascular and metabolic disorders and contributes to the leading cause of death in the US — heart disease. Glucagon-like peptide-1 (GLP-1) receptor agonists (RAs) have recently emerged as a treatment option for obesity. The purpose of this clinical review is to evaluate the efficacy and safety of semaglutide in adults without diabetes who are overweight or obese.

METHODS:

PubMed was searched using a precise search strategy and the key terms “semaglutide,” “weight loss,” and “without diabetes.” Results were filtered and narrowed using specific inclusion and exclusion criteria. Four high-quality studies were …

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 …

Protecting Wetlands In The State Of Texas: Assessing Gaps In Regulations, Knowledge, And Professional Roles And Responsibilities, Grace A. Moy

Landscape Architecture Masters & Design Theses

Wetlands rank among earth's most productive ecosystems, providing crucial ecological services such as hydrological regulation, water purification, and habitat support (US EPA, 2015). In Texas, however, rapid urbanization, inconsistent policy enforcement, and the absence of statewide protection frameworks of hastened wetland degradation (Brody & Kang, 2011). Without a robust state regulatory framework (Environmental Law Institute [ELI], 2020), these ecosystems face increasing threats from development and hydrological disturbances.

This thesis aims to identify regulatory and knowledge deficiencies that influence Texas’ current wetland protection status and to offer targeted professional recommendations for landscape architecture professionals to address these shortcomings in future public …

The Effect Of Second-Order Slip In Hydromagnetic Eyring-Powell Flow: A Bvp4c Study, Ch. Maheswari, B. Naga Lakshmi, G. Dharmaiah, R. Mohana Ramana, B. Reddappa

Mansoura Engineering Journal

The steady-state Eyring–Powell boundary layer fluid flow past a moving surface is examined, considering various parameter implications. These include the wall mass transfer parameter (0.5  C   2.0), the magnetic field parameter (5  Mn 20), the velocity ratio parameter (0.1  λ1  0.7), Eyring-Powell fluid parameters (0.5 K 2 & 0.1 E 0.4), as well as the first-order velocity slip (0.1 γ 1.1) and second-order velocity slip (0.1 δ  0.4). By employing appropriate similarity transformations, the PDEs are reduced to a set of non-linear ODEs, which are subsequently solved using the bvp4c numerical technique and, an implication of key factors on shear …

A Hybrid Object Detection And Temporal Attention Framework For Intelligent Video Surveillance, Sudheer Reddy Bandi, Eswari Vanaparthi, Yakshini Edapalli, Roshan Kavuri

Mansoura Engineering Journal

The rapid growth of urban areas has greatly heightened the need for smart video surveillance systems that can automatically process extensive amounts of CCTV footage. Traditional surveillance methods largely depend on human monitoring, which is not only inefficient but also susceptible to human mistakes, especially in intricate and crowded environments. To tackle these issues, this paper introduces a combined object detection and temporal attention for intelligent video surveillance that concurrently analyzes spatial and temporal data from video streams. The proposed system analyzes real-time CCTV footage utilising a multi-pathway frame extraction technique that includes slow, fast, and full-frame sampling to capture …

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 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 …

First-Job Contract Review Cheat Sheet, Johanna Jones-Morris, Ashlee Martellacci

Teaching and Learning Resources

This cheat sheet helps first-time employees understand what to review before signing an employment contract. It highlights job duties, compensation, scheduling, employment terms, benefits, restrictive clauses, worker classification, and common red flags so that individuals can ask informed questions and recognize potentially unfair or unclear terms.

Evaluating The Effectiveness Of Hard Coastal Protection Structures For Long-Term Erosion Mitigation, Case Study: Eastern Rosetta Shoreline, Nile Delta, Egypt, Basma Sayed, Ayman Sabry Koraim, Tarek Hemdan Nassrallah, Ahmed Abouelfetouh Abdelaziz, Nada Mansour, Fahmy Salah Fahmy Abdelhaleem

Mansoura Engineering Journal

Coastal erosion threatens densely populated shorelines worldwide. At the Rosetta Promontory (Nile Delta), shoreline retreat has accelerated since the construction of the Aswan High Dam due to reduced fluvial sediment supply. This case study numerically evaluates shoreline response to six hard-protection scenarios along the eastern promontory, combining groins and detached breakwaters, over a 20-year forecast (2022–2042). Offshore wave conditions were transformed to nearshore hydrodynamics using MIKE21 Spectral Wave, and long-term shoreline evolution was simulated with DHI-LITPACK. The numerical models were forced using a 40-year wave dataset derived from the ECMWF ERA5 reanalysis. Results indicate that the configuration with eight detached …

Finite Element Analysis Of Multiscale Fgm Plate Using Modified Third Order Shear Deformation Theory, Ravi Kumar, Ajay Kumar

Mansoura Engineering Journal

Present paper aimed to examine the static and dynamic response of a carbon nanotube (CNT) infused multiscale functionally graded (FGM) rectangular plate structure. A third-order shear deformation theory (TSDT) based on Reddy’s formulation with enforcing negligible transverse shear stresses at the outermost surface of the plate, is used. A nine-noded isoparametric element with 13 displacement variables per node is numerically investigated for finite element analysis. Using the Halpin-Tsai and homogeneous equation the elastic behaviour of the final material is obtained. The current result is first checked against a previously published result to validate the present mathematical model. The finite element …

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 …

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 …