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Articles 151 - 180 of 383
Full-Text Articles in Architecture
Humanizing Cities As An Approach For Solving Cities' Problems To Be More Livable, Kareem Mahrous Ali
Humanizing Cities As An Approach For Solving Cities' Problems To Be More Livable, Kareem Mahrous Ali
Mansoura Engineering Journal
Most people around the world want to move from the countryside to the cities or from one city to another that provides them with all their human needs for a better life. The dream may come true for them or turn into a nightmare for reasons related to general problems facing most cities in the world, such as the high cost of living and the absence of social justice, these problems cause an increase in poor families, or the issue of refugees and the inability of some cities to welcome them, the energy crisis, and the challenges of climate change …
The Role Of Expansion Joints In Long Concrete Buildings, Salah Salem, Mohamed E. El Madawy, Basem S. Abdelwahed, Mohamed E. El-Zoughiby
The Role Of Expansion Joints In Long Concrete Buildings, Salah Salem, Mohamed E. El Madawy, Basem S. Abdelwahed, Mohamed E. El-Zoughiby
Mansoura Engineering Journal
The use of expansion joints in lengthy concrete buildings aims to mitigate forces induced by temperature changes and is often derived through empirical methods. These methods lack the depth needed for universal application in any building. On the other hand, adopting a no-joint strategy necessitates a thorough thermal analysis of temperature changes, a subject that has not been extensively explored in existing literature. There are no methodologies available, and the current guidelines rely on approximate calculations; thus, there is a need for clear directives on these two matters. This paper produces a procedure for performing thermal analyses of long concrete …
Optimal Water Hammer Protection Strategies For Low-Head Hydraulic Systems: A Case Study Using Bentley Hammer, Ahmed A. Abdel-Naby, Mostafa A. Abdel-Moaty, Eslam R. Lotfy
Optimal Water Hammer Protection Strategies For Low-Head Hydraulic Systems: A Case Study Using Bentley Hammer, Ahmed A. Abdel-Naby, Mostafa A. Abdel-Moaty, Eslam R. Lotfy
Mansoura Engineering Journal
The analysis of water hammer in low-head hydraulic systems holds significant importance compared to that in high-head systems, particularly given instances where Thorley’s equation may fall short in providing accurate pump inertia values. In situations where manufacturer data are unavailable, proactive measures to mitigate potential hammering incidents become imperative. While Bentley HAMMER software provides robust simulation capabilities, optimal protection strategies for low-head systems remain underexplored. This case study focuses on a scenario involving multistage centrifugal pumps that lift water from the basement floor of a building to its roof via a polypropylene pipeline. The investigation revealed a novel configuration: relocating …
Mechanical Properties And Temperature Resistance Of Fly Ash-Based Geopolymer Concrete, Hala Emad Elden Fouad, Mohamed I. Serag, Ahmed Ragab, Abdelrahman Hussein
Mechanical Properties And Temperature Resistance Of Fly Ash-Based Geopolymer Concrete, Hala Emad Elden Fouad, Mohamed I. Serag, Ahmed Ragab, Abdelrahman Hussein
Mansoura Engineering Journal
Global warming is pressing issue, primarily driven by increasing in greenhouse gas emissions with CO2 accounting for 64% of total emissions. It was founded that produce one ton of Ordinary Portland Cement (OPC) producing one ton of CO2. To address these issues, geopolymers derived from fly ash (FA) have been proposed as a superior alternative to cement. This research presents a comparative review of OPC and FA-based geopolymers in the context of CO2 sequestration. The research investigates the behavior of FA-based geopolymer cement, focusing on the influence of preparation conditions on its mechanical performance, bond strength, and the effect of …
Sbv_Dps: A Stacking-Bagging-Voting Nested Ensemble Based Diabetes Prediction System Using K-Fold Cross Validation, Sourabh Shastri, Sachin Kumar, Paramjit Kour, Vibhakar Mansotra
Sbv_Dps: A Stacking-Bagging-Voting Nested Ensemble Based Diabetes Prediction System Using K-Fold Cross Validation, Sourabh Shastri, Sachin Kumar, Paramjit Kour, Vibhakar Mansotra
Mansoura Engineering Journal
With the advancement of machine learning techniques, the introduction of the most accurate model has become a necessity. In real-world scenarios, every model has some constraints and assimilates errors, so their performance is not always highly efficient; this sparked the development of ensemble learning. The ensemble approach aims to consolidate the strengths of existing approaches and minimize their weaknesses or decision-making risks. The proposed diabetes prediction system encases a resampling filter, applied to balance the dataset and model builder method, i.e., without the SBV ensemble and with the SBV ensemble method. The model is initially built without using the SBV …
Humanization Strategy Of The Public Urban Space In Cairo, Rania Badawy Shokry
Humanization Strategy Of The Public Urban Space In Cairo, Rania Badawy Shokry
Mansoura Engineering Journal
An accurate scientific definition of the term “humanization of cities” has not yet crystallized, which refers the term to the word from which it is derived. She is "human". Obviously, anything contrary to it is inhuman; starting from wild nature or a life entirely dependent on vehicles. If a person cannot dispense with vehicles when carrying out his daily activities, then here we know that the standard of humanization in a place is low. However, if the planning of a city or neighborhood takes into account the needs of the population and the human standard, then the city may reach …
A Comprehensive Study Of Transportation Projects Impact In Congested Cities Through Travel Demand Modeling And Decision-Making Tools: A Case Study Of Zagazig City, Egypt, Amr M. Sakr, Metwally Gouda Mohamed Altaher, Mahmoud El-Saied Ali Solyman, Mohamed Ibrahim El-Sharkawi Attia
A Comprehensive Study Of Transportation Projects Impact In Congested Cities Through Travel Demand Modeling And Decision-Making Tools: A Case Study Of Zagazig City, Egypt, Amr M. Sakr, Metwally Gouda Mohamed Altaher, Mahmoud El-Saied Ali Solyman, Mohamed Ibrahim El-Sharkawi Attia
Mansoura Engineering Journal
Transportation projects are major resource-intensive projects that largely influence the transportation system’s resilience, human health, and quality of life. This study aims to assess and prioritize four transportation projects in Zagazig City, Egypt, in an attempt to build a more sustainable transport system. The travel demand model is used to determine various traffic characteristics and environmental impacts, and decision-making tools are used to evaluate the proposed projects. Benefit-cost analysis (BCA) is employed to investigate the economic feasibility of the proposed projects, and two hybrid multiple-criteria decision-making (MCDM) methods are used to prioritize the proposed projects. Through the work conducted in …
A Deep-Learning-Based Dehazing Framework For Non-Homogenous Scenes, Shimaa Mohammed Abd Elghany, Doaa A. Altantawy, Hossam El-Din Moustafa Moustafa
A Deep-Learning-Based Dehazing Framework For Non-Homogenous Scenes, Shimaa Mohammed Abd Elghany, Doaa A. Altantawy, Hossam El-Din Moustafa Moustafa
Mansoura Engineering Journal
The advancement of single-image dehazing techniques has been rapid in recent years. Several existing algorithms that are based on deep learning have shown remarkable efficiency for dealing with homogeneous hazing-free issues, but convolutional neural networks (CNNS) frequently fail on non-homogeneous dehazing datasets. Meanwhile, dehaze results from dense haze regions are often blurry because the information of these regions is typically unknown and difficult to estimate. To address these issues, an efficient image enhancement dehazing algorithm that utilizes deep learning techniques, and a non-uniform atmospheric scattering model had been proposed. Unlike the majority of existing dehazing methods, the medium transmission function …
The Effect Of Transformer Based Pre-Trained Language Models On Biomedical Relation Extractions, Eman Saad, Sherif Kishk, Amr Ali-Eldin, Ahmed I. Saleh
The Effect Of Transformer Based Pre-Trained Language Models On Biomedical Relation Extractions, Eman Saad, Sherif Kishk, Amr Ali-Eldin, Ahmed I. Saleh
Mansoura Engineering Journal
Biomedical relation extraction represents a critical advancement in healthcare research. As the volume of biomedical publications continues to grow exponentially, efficient extraction of entity relationships has become essential for accelerating knowledge discovery, drug development, and precision medicine initiatives. The field has evolved from focusing on simple binary relations, such as Protein-Protein Interactions (PPI), which are fundamental to understanding cellular processes and therapeutic development, to addressing more complex multi-class classification challenges like Drug-Drug Interactions (DDI) and Chemical-Protein Interactions (CPI).Pre-trained language models have become the cornerstone of modern approaches of extracting biomedical relations. Models like BioBERT, PubMedBERT, and SciBERT, along with general-purpose …
The Reactivation Of Moucharaby As Light Ornaments Through Digital Design, Noha Gamal Said, Amal Abu Daya
The Reactivation Of Moucharaby As Light Ornaments Through Digital Design, Noha Gamal Said, Amal Abu Daya
Mansoura Engineering Journal
Ornaments are considered essential part of architecture, contributing to the atmosphere and sense of place through its diverse visual effects. The Moucharaby is one of the traditional architectural elements that requires technical, professional, and artisanal knowledge to exist. It is closely related to light, affecting the privacy of the space and controlling the movement of the eye. Despite the disappearance of both elements: ornaments and Moucharaby from the modern architectural scene, the recent sustainability trends, parametric design, and modern technologies offer an opportunity to revive these elements. The article describes the experiential methodology of an intensive workshop that took place …
Skin Cancer Diagnosis Utilizing Hybrid Discrete Cosine Transform And High-Performance Convolutional Neural Networks, Mohammed M. Abo-Zahhad, Mohammed Abo-Zahhad
Skin Cancer Diagnosis Utilizing Hybrid Discrete Cosine Transform And High-Performance Convolutional Neural Networks, Mohammed M. Abo-Zahhad, Mohammed Abo-Zahhad
Mansoura Engineering Journal
Detecting skin cancer early and accurately is crucial for successfully treating this potentially fatal disease. Enhancing the accuracy of visual inspection techniques is often necessary to improve clinical decision-making and increase the chance of successful treatment outcomes. In this research, high-performance deep learning (DL) models for automated skin cancer categorization and early skin cancer diagnosis screening are developed and evaluated in conjunction with the discrete cosine transform (DCT). For this purpose, features are extracted from medical images using both techniques. The DCT is used for feature extraction and dimensionality reduction, while deep learning (DL) trains fully connected models for classification …
A Framework For Establishing An Automated Traffic Violation Detection System In New Assiut City Using Ordinary Cctv Units, Mahmoud Owais, Ali Shehata, Abdou Shaband, Ghada S. Moussa
A Framework For Establishing An Automated Traffic Violation Detection System In New Assiut City Using Ordinary Cctv Units, Mahmoud Owais, Ali Shehata, Abdou Shaband, Ghada S. Moussa
Mansoura Engineering Journal
Violating traffic rules in transport networks is a genuine concern for operators as it is one of the most important causes of fatal accidents. With the increasing number of residents in the new cities in the Arab Republic of Egypt, and the incompleteness of the transportation system in those cities, including traffic signs, light signals, and control points, the possibility of committing such violations increases. The study aims to propose the framework for establishing an intelligent monitoring system in the new city of Assiut consisting of high-resolution cameras optimally distributed on the traffic network points in the city. They will …
Designing An Economically Viable Off-Grid Photovoltaic System Considering The Battery Discharge Rate, Ahmed S. Abdelrazek, Eslam Mohamed Ahmed, Mahmoud Elsisi, Mokhtar Said
Designing An Economically Viable Off-Grid Photovoltaic System Considering The Battery Discharge Rate, Ahmed S. Abdelrazek, Eslam Mohamed Ahmed, Mahmoud Elsisi, Mokhtar Said
Mansoura Engineering Journal
The primary significance of harnessing power from clean and renewable sources lies in the fact that numerous rural areas are far from the utility system. Among the renewable energy technologies catering to power needs in residential areas is the solar photovoltaic (PV) system. Despite the potential of PV technology and the abundant sun radiation exposure in Hurghada, Egypt, there is a lack of empirical studies evaluating the feasibility of off-grid power production using this system. A notable aspect of this study is the consideration of the discharge rate of the battery for sizing the off-grid system, involving the distribution of …
Egyptian Government Actions To Implement A Green, Smart, Secured And Sustainable City In Africa, Egypt To Host Cop27, Enas Samir, Eman Metwally
Egyptian Government Actions To Implement A Green, Smart, Secured And Sustainable City In Africa, Egypt To Host Cop27, Enas Samir, Eman Metwally
Mansoura Engineering Journal
Smart cities are essential for addressing globalization, urban overpopulation, and urban growth. This paper discusses the Egyptian government's strategies, policies, and procedures for transforming Sharm-Elsheikh city into a green, smart, safe, secured, and sustainable city. The research aims to learn from COP28 and export an action plan to convert the city from a touristic to a smart green, secure, and sustainable city. The main research question is how COP27 in Egypt will become the COP of implementation, and the hypothesis is that the current mindset for managing economic files may not be suitable for the new economic orientations.
Durability And Steel Corrosion Resistance Of Fly Ash Concrete Exposed To Groundwater, Mohamed Ahmed Bayomy, Khaled M. Osman, Hala Emad Elden Fouad
Durability And Steel Corrosion Resistance Of Fly Ash Concrete Exposed To Groundwater, Mohamed Ahmed Bayomy, Khaled M. Osman, Hala Emad Elden Fouad
Mansoura Engineering Journal
This article proposes replacing Ordinary Portland Cement (OPC) with a fly ash (FA)-based geopolymer (GP) material, activated by a chemical activator, as the binding material. A 90-day study was conducted to evaluate the performance of fly ash geopolymer concrete (GPC) in a corrosive environment (groundwater). Scanning electron microscopy (SEM), compression testing, and energy-dispersive X-ray spectroscopy (EDX) were used to assess the toughness of the samples. Additionally, the linear polarization resistance (LPR) method was employed to measure the corrosion of steel embedded in the concrete structures. The comparison shows that increasing the fly ash (FA) content in geopolymer concrete (GPC) enhances …
Multi-Channel Features Combined With Gray Features For Remote Sensing Image Classification, Khaled Hasan, Hussien Harb, Lamiaa A. Elrefaei, Hala M. Abdel-Kader
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.
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
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 (KIC) 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 KIC 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
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 …
Applying Image Processing And Computer Vision For Damage Detection In Photovoltaic Panels, Montaser Abdelsattar, Ahmed Abdelmoety, Ahmed Emad-Eldeen
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.
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
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 …
Municipal Solid Waste Management In Egypt Environmental And Economic Objectives, Nader Ibrahem Ismael
Municipal Solid Waste Management In Egypt Environmental And Economic Objectives, Nader Ibrahem Ismael
Mansoura Engineering Journal
The research aims to study the problem of municipal solid waste in Egypt, which notes the growth of the phenomenon of dumping this waste in the streets of Egypt, especially following the January 25 revolution and the resulting shortcomings in the performance of successive governments in confronting this problem, which led to an increasing rate of solid waste accumulation in the streets of Cairo and the shortcomings of the administrations’ performance. There is also a lack of a specific methodology for collecting local waste at the republic level. The research aims to develop a methodology for managing these wastes, starting …
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
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 …
Role Of Change Management In The Success Of Architecture And Engineering Firms: Case Study Cairo, Manar M. Samy, Laila Khodeir, Mahmoud El Nably
Role Of Change Management In The Success Of Architecture And Engineering Firms: Case Study Cairo, Manar M. Samy, Laila Khodeir, Mahmoud El Nably
Mansoura Engineering Journal
Today, we face multiple changes and crises on the environmental, social, and economic levels, such as climate change, limited resources, economic crises, pandemics and lockdowns, wars and conflicts, digitalization and technological evolution, and changing needs of clients and stakeholders. Consequently, embracing change has become a very important factor for business success, such as the architecture and engineering (A/E) industry, which has a big share in the global economy. Despite its importance, the A/E industry is the slowest to adopt changes due to various challenges. This paper aims to investigate the role of change management in the success of A/E firms, …
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
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
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 …
Sustainable Hospitals Lighting Design Optimization To Enhance Patient Well-Being, Merna R. Ashac, Rania F. Ismail, Nasreen Fathy Abdelsalam
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
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 …