Architecture Commons^™

74/2 | Hellenistic Nysa-Scythopolis: The Finds And Conclusions, Gabriel Mazor,, Walid Atrash, Débora Sandhaus

IAA Reports—Monograph Series of the Israel Antiquities Authority

This is the fifth volume of publications of the Bet She’an Archaeological Project, describing the large-scale IAA excavations at the site of Bet She’an–ancient Nysa-Scythopolis, during 1986–2002. Bet She’an V: Hellenistic Nysa-Scythopolis is the second volume presenting the full excavation report of the IAA excavations at Tel Iẓṭabba, conducted between 1991 and 1994. The first volume in this series, Bet She’an IV (IAA Reports 62), focused on two corpora of finds: stamped amphora handles and sealings. The current volume, Bet She’an V, is comprised of two parts (IAA Reports 74/1, 74/2) dedicated to the stratigraphy, architecture and finds from the …

Graduate School Blog - April 2025 Volume 1, Cynthia Haynes

UofM Grad School Blog

The April 2025 UofM Graduate School Blog highlights a month full of events, stories, and celebrations, beginning with Dr. Deborah Tollefsen’s personal graduate school journey, shared during the “Is Graduate School Right for Me?” virtual workshop an inspiring narrative of resilience, mentorship, and finding purpose through education. This edition also spotlights Graduate Student Appreciation Week, featuring a robust lineup of events such as a virtual town hall, resume and job market workshop, student social and awards ceremony, study session, and social dinners all designed to support, celebrate, and connect the UofM graduate student community. With opportunities to hear from …

Multi-Channel Features Combined With Gray Features For Remote Sensing Image Classification, Khaled Hasan, Hussien Harb, Lamiaa A. Elrefaei, Hala M. Abdel-Kader

Mansoura Engineering Journal

Image classification in remote sensing is crucial for various applications like deforestation monitoring and Land Use/Land Cover (LULC) mapping. While grayscale images offer simplicity, recent advancements have enhanced classification by integrating spatial and relative data. However, relying solely on grayscale images overlooks valuable color information from different channels. To overcome this, researchers have explored two strategies: combining diverse features and utilizing multi-channel features. These methods merge spatial information and exploit shared features across channels. Despite their improved performance compared to grayscale, they face increased dimensionality, necessitating dimensionality reduction techniques. In our study, we propose a novel approach that integrates spatial …

An Experimental And Numerical Investigation On The Flexural Behavior Of Two-Way Slabs Reinforced By Hybrid Reinforcement Schemes, Mahmoud A. Zidan, Mohamed H. Makhlouf, A. S. Debaiky, Gamal I. K.

Mansoura Engineering Journal

This study examines the Characteristics of flexural behavior in a two-way slab reinforced with a hybrid combination of Glass Fiber Reinforced Polymer. (GFRP) and steel reinforcement. It determines the effectiveness of hybrid reinforcement and fiber addition in enhancing the flexural resistance of two-way reinforced concrete slabs. Researchers tested twelve reinforced concrete slabs and divided them into four groups. There were two control specimens: one steel-reinforced and one glass fiber-reinforced polymer (GFRP)-reinforced, for comparison with the hybrid specimens. The remaining specimens were reinforced using a combination of steel bars and GFRP bars, The study focused on three-parameter categories: reinforcement type (steel …

Impact Of Crack Location, Crack Initial Length, And Crosshead Speed On Fracture Toughness Of Polypropylene And Glass Fiber-Reinforced Polypropylene Pipes, R. Singer, A. Koriem, A. M. Ollick, M. Elhadary

Mansoura Engineering Journal

Fracture toughness (K_IC) is a critical parameter for evaluating the performance of materials, particularly in engineering applications where structural integrity is crucial. The objective of this study is to investigate the fracture toughness characteristics of polypropylene (PP) and glass fiber-reinforced polypropylene (GFPP) pipes. Specifically, evaluating the influence of crosshead speed, crack location, and initial crack length on the K_IC of these materials under both tensile loading (Mode I fracture) and bending conditions. Tensile tests were conducted on both materials using two specimen configurations and varied notch lengths to simulate Mode I fracture conditions. Additionally, three-point bending tests …

Investigating The Behavior Of Green Covers And Stone Pavers In Historic Urban Spaces During Pandemics: Case Study Beit Al Qadi Square – Historic Cairo - Egypt, Doaa Salaheldin Ismail Elsayed

Mansoura Engineering Journal

Respiratory pandemics are becoming global phenomena demanding post-pandemic re-adaptation practices. In this context, the study questioned if selecting green covers or stone pavers would participate in containing or propagating bioaerosols. The research explored the correlation between pavements and viral aerosols' mass concentration and deposition values. It focused on two design alternatives adopting grass and red stone examined in an open space prone to urban regeneration projects. The study employed both qualitative and quantitative approaches. The former involved literature survey, field investigations and onsite measurements, besides a multi-scalar satellite image analysis. The latter digitally introduced a coronavirus pollutant in the open …

74/1 | Hellenistic Nysa-Scythopolis Stratigraphy And Architecture, Gabriel Mazor, Walid Atrash, Debora Sandhaus

IAA Reports—Monograph Series of the Israel Antiquities Authority

This is the fifth volume of publications of the Bet She’an Archaeological Project, describing the large-scale IAA excavations at the site of Bet She’an–ancient Nysa-Scythopolis, during 1986–2002. Bet She’an V: Hellenistic Nysa-Scythopolis is the second volume presenting the full excavation report of the IAA excavations at Tel Iẓṭabba, conducted between 1991 and 1994. The first volume in this series, Bet She’an IV (IAA Reports 62), focused on two corpora of finds: stamped amphora handles and sealings. The current volume, Bet She’an V, is comprised of two parts (IAA Reports 74/1, 74/2) dedicated to the stratigraphy, architecture and finds from the …

Applying Image Processing And Computer Vision For Damage Detection In Photovoltaic Panels, Montaser Abdelsattar, Ahmed Abdelmoety, Ahmed Emad-Eldeen

Mansoura Engineering Journal

As the use of Photovoltaic (PV) panels as a sustainable energy source grows, there is a need for effective and precise techniques to monitor and manage these systems. Conventional techniques for identifying faults in PV panels, such as manual inspections, require a significant amount of effort and are susceptible to mistakes made by humans. This study introduces an innovative automated method that utilizes image processing techniques implemented using the OpenCV library to identify panel faults, namely hotspots, which are important indications of possible failures. The study approach combines grayscale conversion, histogram analysis, and adaptive thresholding to accurately detect and evaluate …

Evaluating The Health Performance Of Mass Housing Projects In Egypt Lighting Design Of Dar Masr Project, New Damietta, Hala Mohamed Raslan, Huda El-Baz M.

Mansoura Engineering Journal

The Egyptian government has recently established many governmental mass housing projects to meet the housing needs nationwide. These projects are characterized by their unified repetitive design that rarely consider geographic, climatic and social variations from one site to another. The study objectives are to examine the health performance of mass housing projects; “Dar Misr” as an example. Dar Misr consists of 150,000 units distributed over 15 different cities, and is fully finished with unified electrical installations and preinstalled luminaires. The study examines the health performance of the project’s lighting design, both natural and electrical light, using the “WELLV2 rating system …

Change Detection Analysis Using Remote Sensing And Gis Approaches For Lake Manzala, Egypt, Mohamed Eraki, Rasha Abd El Ghany, Sameh El Kafrawy, Mostafa Rabah

Mansoura Engineering Journal

Manzala Lake, the largest natural freshwater body in Egypt, is situated in the northeastern part of the Nile Delta. It faces major environmental challenges, largely due to pollution from untreated industrial effluents, sewage, and agricultural runoff. As part of Egypt's national initiative to rehabilitate its lakes, a development project was launched in 2017 and concluded in June 2022. The project aimed to purify the lake by eliminating contaminants, clearing invasive vegetation, deepening the canals, the study focuses on assessing land cover changes using remote sensing and GIS, and offers some recommendations for sustainable lake use following the development efforts. The …

Inclusive Space For Everyone Door Sign (Printable 8.5 X 11 Inch), Joan H. Robinson

Open Educational Resources

This is a printable 8.5 x 11 inch door sign for faculty, staff, and administrators to let people know it is an inclusive space for everyone. For improved visibility, print with a color printer and cut along the dotted line.

See also: 11 x 17 inch door sign.

Challenges And Opportunities In The Dissemination Of Scientific Content: Insights From Media Professionals In Jordan, Ruba Mustafa Mohammad, Mahmoud Ahmad Al-Rajabi, Hala Nabil Amr

Middle East Journal of Communication Studies

This study explored the challenges and opportunities in disseminating scientific content from the perspective of media experts in Jordan. Using a descriptive methodology and a questionnaire, the research aimed to understand the landscape better. The sample included 343 media experts holding master's degrees or higher in various media fields, along with several journalists actively working in the sector. The study revealed several key findings. Chief among them are the numerous obstacles hindering the dissemination of scientific content in Jordanian media. These include a lack of training for journalists on accessing new scientific information, a general absence of critical thinking skills …

The Degree Of Dependence Of The Jordanian Public On Social Media In Health Awareness Of Obesity Diseases (Survey Study), Jumana Irshiedat, Kamel Khurshid Murad

Middle East Journal of Communication Studies

The article aimed to reveal the dependency of social media platforms in educating the Jordanian public about obesity diseases and explore the cognitive, emotional, and behavioral effects on the Jordanian public. The survey method was adopted; an approach used in descriptive studies, and the questionnaire tool was used to a sample (357) of the Jordanian public in Amman. The study-produced results including the platform most used by the Jordanian public to receive knowledge about health awareness is WhatsApp in the first place, followed by Instagram and then Facebook. The results also showed that the health topics of most interest to …

The Energy Transition In The Jordanian Media, Hanan Al-Shiekh

Middle East Journal of Communication Studies

The study aimed to clarify the role of scientific journalism towards stimulating investment in environmentally friendly renewable energy sources, which is one of the necessary challenges facing the Kingdom of Jordan for economic growth and social development, due to its heavy dependence on energy imports, which reflects negatively on the Jordanian economy. This study is one of the descriptive studies that focuses on describing a specific topic, as it is in the current reality, in terms of its general and detailed characteristics, including variables, elements, relationships, and influences, which are among the most prominent features of scientific journalism in terms …

The Role Of Television In Increasing Knowledge About Health Issues Among Jordanian Citizens, Izzat Mohammad Hijab, Ahmad Oreqat, Hani Al-Badri

Middle East Journal of Communication Studies

This study explores the role of TV health programs in increasing the knowledge of Jordanian citizens about health issues. The study was based on the social survey methodology through a questionnaire distributed to a sample of 200 people from the city of Amman watching Jordan Television (JTV) health programs. The researcher concluded the following; a high watching for health programs, and that the Jordanians watch health programs with their family at home. The study also confirmed that the Jordanian benefits from health programs provided by JTV, and these programs are important and essential in educating citizens in health issues. Finally, …

Acknowledgment Note

Mansoura Engineering Journal

Acknowledgement

Effect Of Displacement Rate On Delamination Growth Rate In Unidirectional Glass Fiber Composites In Both Bridging And Non-Bridging Scenarios, Wafaa Ahmed Shaker, Taher H. Awad, Mostafa M. Elhadary

Mansoura Engineering Journal

Experimentally, the mode I delamination behavior of unidirectional glass/epoxy composites at quasi-static displacement rates of 1, 3, and 5 is explored. When comparing the variation between fracture toughness GIC values at 1 mm/min and GIC at 3 mm/min, the average variation is 30% increasing. However, the average variance in GIC between 3 mm/min and 5 mm/min is increasing by 11%. As a result, the crack propagation velocity has a noticeable effect on the value of GIC at lower speeds and a limited effect at higher speeds. The same comparison is made with bridging specimens for 1 and 3 mm/min displacement …

Visions Of The Garden: Transforming The Former Claremont Golf Course Into The Coastal Sage Mosaic, Ella C. Kim

Pitzer Senior Theses

A thirty-three-acre parcel of land sits at the foothills of the San Gabriel Mountains at a vulnerable wildland-urban interface (WUI), raising key ecological concerns. This parcel, a former golf course, is the focused site for this conceptual landscape and restoration plan. The now-neglected site has no proposed plans for restoration or development yet holds significant potential for transformation. Stakeholders’ conflicting visions range from land preservation, ecological restoration, Indigenous land rights, commodification for revenue and development, and prioritizing the needs of the natural environment in coexistence with modern human enjoyment. The conceptual plan addresses these critical considerations in verbal and visual …

An Experimental Study On Durability Properties Of Reactive Powder Concrete Containing Silica Fume And Fly Ash As Supplementary Cementitious Materials, Ayat Mohamed Hassan Taha, Mohamed Hussain Ali Makhlouf, Khaled Mohamed El-Sayed, Gamal Ismaail Khaleel

Mansoura Engineering Journal

The paper reports the influence of using silica fume (SF) and fly ash (FA) as supplementary cementitious materials (SCMs) on the durability properties of reactive powder concrete (RPC), focusing on sorptivity, ultrasonic pulse velocity (UPV), and carbonation depth. The study additionally compares the performance of RPC with highstrength concrete (HSC) to assess the relative benefits of RPC. A total of 19 mixtures, including 17 RPC and 2 HSC mixtures, were evaluated. Parameters such as volume of binder content (45%, 50%, 55%, and 60%), water-binder ratios (20%, 25%, and 30%), and SCM proportions (0%, 10%, 20%, and 30%) were varied; these …

Optimization Of Persulfate Activation System Using Ferrous Sulfate For Toc Removal From Real Domestic Wastewater, Mohamed Fouad, Mohamed Mossad, Mohamed Gar Alalm, Mahmoud Samy

Mansoura Engineering Journal

The reuse of treated wastewater is increasingly recognized as a sustainable solution to address global water shortage. This study investigates the effectiveness of a persulfate-based advanced oxidation process (AOP) using sodium persulfate (Na2S2O8) activated by ferrous sulfate (FeSO4) as a tertiary treatment for secondary effluents. Real municipal wastewater was collected from Agouzain Wastewater Treatment Plant (WWTP) in Kafr El-Sheikh, Egypt. A Box Benkhen design (BBD) was employed to optimize three key variables: FeSO4 dose (0.5–2.0 g/L), Na2S2O8 dose (0.5–2.0 g/L), and pH (3.0–9.0), with total organic carbon (TOC) removal as the main response. Under optimized conditions (0.50 g/L FeSO4, 2.00 …

Adaptation For Whom? Understanding The Impacts Of Dyke Policies On Small-Scale Farmers In Ca Mau Province Of Vietnam, Nguyen Minh Quang, Nguyen Van Minh, Nguyen Vo Chau Ngan, Martha B. Lerski

Publications and Research

Low-lying deltas worldwide are extremely vulnerable to sea-level rise. As the risks of climate-induced flooding become increasingly clear, the thirst for infrastructure-driven adaptation increases. This highlights a patent need to understand the impacts of engineering adaptation solutions, especially those targeting built structures such as dykes and sluices, on farmers from a bottom-up, farmer-centred perspective. The study addresses this call by examining cases where dyke policies, while successful in some dimensions, have undermined small-scale farmer livelihoods in Ca Mau ― Vietnam’s southernmost rural province. It identifies areas in need of attention and adds empirical data related to this group of farmers. …

Sustainable Hospitals Lighting Design Optimization To Enhance Patient Well-Being, Merna R. Ashac, Rania F. Ismail, Nasreen Fathy Abdelsalam

Mansoura Engineering Journal

This research investigates the critical role of lighting design in hospitals environments, focusing on its impact on patient outcomes and environmental sustainability. By integrating energy-efficient LEDs and natural light, the study aims to enhance patient well-being and staff performance. To achieve this, the research explores aligning artificial lighting with circadian rhythms to improve both patient outcomes and staff performance. Using mixed-methods approach, the research includes a literature review, case studies, and analysis using DIALux simulation software. The literature review achieves a framework for sustainable, human-centric lighting, while case studies provide practical insights into effective designs in patient rooms. DIALux simulations …

Evaluating Machine Learning Techniques For Breast Cancer Detection: A Comprehensive Review, Owen Kresse, Youssef Kamel Kamel Hassan Rezk, Alaaelddin Ibrahim Said, Rana Hossameldin Mousa, Merna Adel Abdelrahman Ibrahim, Ahmed Fathy Sweed, Tomas Pegorari, Pablo Nakasato, Ainhoa Osa-Sanchez, Itxasne Del Barrio, Francesc Serra Crespí, Keltse Santisteban Ortiz, Naiara Melián Eguia, Mohamed Elsharkawy, Ibrahim Abdelhalim, Begonya Garcia-Zapirain, Ayman El-Baz

Mansoura Engineering Journal

Breast cancer is considered one of the most common types of cancer among women. significant amount of effort done in early detection to increase survival chance since early detection is a challenging task especially in certain breast cancer conditions or using inefficient imaging modalities AI demonstrated significant potential in breast cancer detection algorithms including convolutional neural networks (CNNs) and Transformers, which have achieved highly accurate results but they have some limitations, such as the large amounts of data required for training as CNNs rely on local features, while Transformers focus on global features However, recent research has proposed hybrid models …

High Voltage Circuit Breaker Arc Modelling State Of Art, Raghdaa I. Elbahy, Ahmed M. Abdelbaset, Ebrahim A. Badran, Mansour H. Abdel-Rahman

Mansoura Engineering Journal

High-voltage (HV) circuit breakers (CBs) are critical for safe and reliable power system operation. However, electric arcs formed during current interruption pose a challenge due to their complex, non-linear behavior. These arcs can hinder CB efficiency and cause equipment damage. To address this, understanding and modeling arc properties are essential. This paper explores existing methods for modeling and simulating electric arcs in HV CBs, including physical, black box, and parameter models. By analyzing these approaches, the paper emphasizes the importance of arc modeling for CB optimization and outlines the physical, mathematical, and software requirements for effective modeling and simulation.

The Impact Of 'Decent Life' Initiative On Sustainable Urban Development: Abu Galal Village In Egypt As A Case Study, Sally Hassan Abd-Elazim, Sherif Ahmed Sheta, Medhat Ahmed Shaban

Mansoura Engineering Journal

The “Decent Life” Initiative aims to enhance living conditions and support sustainable urban development in Abu Jalal village, Sherbin city, Dakahlia Governorate, Egypt. The research aims to assess the effectiveness of the 'Decent Life' initiative in promoting sustainable urban development in Egyptian villages, focusing on improving its mechanisms for future use and maximizing benefits in other villages facing similar challenges.. The research employs various methods, including surveys and questionnaires targeting local residents, evaluation based on SDG 11, and GIS software for spatial analysis. Research identifies key areas of improvement across housing, healthcare, transport, education, infrastructure, job opportunities, disaster resilience, waste …

Computer Aided Detection System For Liver Cancer Using Computed Tomography Images Based On Artificial Intelligence, Noha Saad Badrawy, Hanan M. Amer, Apeer T. Khalil

Mansoura Engineering Journal

The prevalence of liver cancer has surged in Egypt and worldwide, leading to increased use of AI for tumor detection and diagnosis. The objective is to boost accuracy and minimize errors in manually classifying liver images, a task that is laborious and time-consuming. This study seeks to create a high-performance system for detecting liver tumors in Computed Tomography "CT" scans, utilizing Convolutional Neural Networks "CNNs" and machine learning, which are prevalent in biomedical imaging. With a dataset of 9,255 CT images, the research involves three steps. First, three deep learning models are compared: that Liver Tuned High-Resolution Network (LTHR-Net), Deep …

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 …

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.

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 …

Development Of An Examination Hall Malpractice Detection System Using Pose Estimation And Machine Learning, Etinosa Noma-Osaghae, Udoumoh John David, Joshua Sokowonci Mommoh, Olusogo Julius Adetunji, Oyedeji Ayo Isaac

Mansoura Engineering Journal

Examination malpractice remains a critical concern, driving the need for robust and efficient detection systems to uphold academic integrity. This research introduces a novel approach to examination malpractice detection by leveraging pose estimation and machine learning to address key gaps in existing solutions. Current systems often rely exclusively on either pose estimation or object detection, failing to exploit the synergistic potential of combining these techniques. This study bridges this gap by integrating deep learning models with complementary capabilities to enhance detection accuracy, robustness, and coverage. The proposed methodology utilises OpenPose for precise human pose estimation, enabling the detection of body …