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Articles 79531 - 79560 of 79587
Full-Text Articles in Entire DC Network
Employing A Skin Cancer Prevention Program To Decrease Skin Cancer Among Racially And Ethnically Diverse Adults, Janeth Noguera Pardo
Employing A Skin Cancer Prevention Program To Decrease Skin Cancer Among Racially And Ethnically Diverse Adults, Janeth Noguera Pardo
Electronic Theses and Dissertations 2020 - Present
Skin cancer remains a significant public health concern due to limited knowledge of prevention and early detection. Late diagnoses contribute to substantial financial burdens and loss of life. This quality improvement project aimed to improve skin health outcomes and reduce serious diagnoses, such as melanoma, by increasing awareness of prevention and early detection strategies. Targeting a racially and ethnically diverse adult population in the Belle Glade community, the initiative promoted educational interventions, emphasizing modifiable behaviors such as regular sunscreen use and performing skin self-examinations (SSE). A total of 24 participants were recruited at community health fairs for this eight-week project. …
Enhancing Provider Self-Efficacy In Caring For Neurodivergent Patients In Primary Care, Morgan L. Brummit
Enhancing Provider Self-Efficacy In Caring For Neurodivergent Patients In Primary Care, Morgan L. Brummit
Electronic Theses and Dissertations 2020 - Present
This Doctor of Nursing Practice (DNP) project was to enhance primary care providers' self-efficacy in delivering effective care to neurodivergent adults. Despite the growing recognition of neurodivergence, many primary care providers report feeling inadequately prepared to meet the complex healthcare needs of autistic patients, resulting in barriers to care, miscommunication, and suboptimal health outcomes. This project sought to address these gaps by integrating a comprehensive, evidence-based educational resource, Clinical Care for Autistic Adults, into a professional development initiative for primary care providers. The course covers critical topics such as understanding autism spectrum disorder (ASD), recognizing co-occurring health conditions, effective communication …
Enhancing Palliative Care Referrals For Primary Care Patients With Noncommunicable Diseases, Nadia Marcellus
Enhancing Palliative Care Referrals For Primary Care Patients With Noncommunicable Diseases, Nadia Marcellus
Electronic Theses and Dissertations 2020 - Present
Timely identification of palliative care needs in primary care is pivotal in improving patient outcomes and quality of life for individuals with chronic or life-limiting illnesses. Conversely, delayed recognition of these needs frequently results in missed opportunities for early intervention and comprehensive care planning. This quality improvement (QI) project focused on implementing the Supportive and Palliative Care Indicators Tool (SPICT) to enhance early identification and referral to palliative care within a primary care setting. The initiative sought to bridge care gaps by providing structured educational sessions to three medical doctors and five nurse practitioners. Participants received training on the SPICT …
Production Of Hydrogen From Sodium Borohydride Using Bimetal Catalyst, Haitham I. Attia, Hani Mahanna, M.M. El-Halwany, Mahmoud H Mahmoud
Production Of Hydrogen From Sodium Borohydride Using Bimetal Catalyst, Haitham I. Attia, Hani Mahanna, M.M. El-Halwany, Mahmoud H Mahmoud
Mansoura Engineering Journal
Here, in this paper we try to focus on the bi-metal non-semiconductor photo catalyst for the Production of hydrogen from sodium borohydride instead of semi conductor photo catalyst which have an excellent performance in photo-catalysis. In this paper , we studied the combination of CuNi bi-metal(developed and reinforced on MWCNTs) as a non-semiconductor photo-catalyst that generates electrons for the Production of hydrogen from sodium borohydride with led light as source of light , We also added CuNi on multi wall carbon nano tubes (MWCNTs) for increasing the surface area of the reaction. We studied the effect of different quantity of …
Predicting The Role Of Connectivity In The Development Of Border Regions In Egypt, Shimaa Mohammed Hamdy Derbala
Predicting The Role Of Connectivity In The Development Of Border Regions In Egypt, Shimaa Mohammed Hamdy Derbala
Mansoura Engineering Journal
The research analyzed the current situation of the development of 12 existing roads in the development plan 2052 and linked to the Governors of (Matrouh, North Sinai, South Sinai, New Valley, and Red Sea), and by reviewing previous studies, it showed the link between road development and the demographic and social factors of the population. The methodology for studying various cases and the methodology for predicting development models are the most appropriate for the field of research. This research examines the goals and challenges of road development with global experience that can be applied to development plans. The research is …
The Dynamic Stability Of The Sewing Needle’S Mechanical Vibrations Under The Impact Of A Time-Dependent Penetration Force In The Multilayered Sewn Fabrics, Wael A. Hashima, Ibrahim A. Elhawary
The Dynamic Stability Of The Sewing Needle’S Mechanical Vibrations Under The Impact Of A Time-Dependent Penetration Force In The Multilayered Sewn Fabrics, Wael A. Hashima, Ibrahim A. Elhawary
Mansoura Engineering Journal
In this work the dynamic stability of the mechanical vibrations of the sewing needle during sewing process under the impact of the time dependent penetration force (cyclic type) were studied. The many mathematical equations were written and explained for both of the sewing needle dynamics and penetration force mechanics. They were related to the regions of sewing needle stability regions either mathematically or graphically. Mate equation (difficult one) was refereed to help in investigation the sewing dynamic stability during sewing process.
Estimation Of Origin-Destination Matrix Using Open-Source Applications Based On Traffic Counts For Mansoura City In Egypt, Ahmed N. Awaad, Sherif M. El-Badawy, Elsayed Abd-Elazem Shwaly, Usama Elrawy Shahdah
Estimation Of Origin-Destination Matrix Using Open-Source Applications Based On Traffic Counts For Mansoura City In Egypt, Ahmed N. Awaad, Sherif M. El-Badawy, Elsayed Abd-Elazem Shwaly, Usama Elrawy Shahdah
Mansoura Engineering Journal
Origin-destination matrices (ODMs) are essential to transportation planning but estimating them can be difficult and expensive. This study presents a framework for estimating ODMs using traffic flow counts using open-source tools. The framework was applied to a dataset from the city of Mansoura in Egypt. The Flowrouter algorithm, which is part of the SUMO microscopic traffic simulation model, was used for routing traffic between traffic flow counting locations. Additionally, the “Implausible Routes” algorithm was used to eliminate unrealistic routes from the generated solution. The results show that the ODM obtained is a reasonable representation of the demand between the different …
Laboratory Characteristics, Performance Evaluation, And Agency Cost Analysis Of Cold-Recycled Asphalt Mixtures, Marwa B. Elaskary, Ahmed M. Awed, Alaa R. Gabr, Sherif M. El-Badawy
Laboratory Characteristics, Performance Evaluation, And Agency Cost Analysis Of Cold-Recycled Asphalt Mixtures, Marwa B. Elaskary, Ahmed M. Awed, Alaa R. Gabr, Sherif M. El-Badawy
Mansoura Engineering Journal
This technical study offers a comprehensive investigation into the utilization of Cold Recycled Asphalt Mixtures (CRAMs) with varying proportions of Reclaimed Asphalt Pavement (RAP) in the context of pavement maintenance applications. The study encompasses a multi-faceted analysis, encompassing laboratory mix design requirements, mix performance evaluations, and a thorough assessment of economic benefits, with the overarching goal of promoting the sustainable adoption of CRAMs in pavement maintenance. To achieve the objectives of the research, five ratios of RAP to virgin aggregates (VA) of (0%:100%), (25%:75%), (50%:50%), (75%:25%), and (100%: 0%). The research encompasses a wide array of laboratory tests and investigations …
A Novel Scheme Based On Bessel Operational Matrices For Solving A Class Of Nonlinear Systems Of Differential Equations, Atallah El-Shenawy, Mohamed El-Gamel, Muhammad E. Anany
A Novel Scheme Based On Bessel Operational Matrices For Solving A Class Of Nonlinear Systems Of Differential Equations, Atallah El-Shenawy, Mohamed El-Gamel, Muhammad E. Anany
Mansoura Engineering Journal
The system of ordinary differential equations arises in many natural phenomena, especially in the field of disease spread. In this paper, a perfect spectral technique is introduced to solve systems of nonlinear differential equations. The technique enhanced the Bessel collocation technique by converting the series notation of unknown variables and their derivatives to matrix relations. The Newton algorithm is developed to solve the resulting nonlinear system of algebraic equations. The effectiveness of the scheme is proved by the convergence analysis and error bound as demonstrated in Theorem 1. The scheme of solution is tested to clarify the efficiency and the …
Impact Of Traffic Congestion On Transportation System: Challenges And Remediations - A Review, Hamdy B. Faheem, Amira M. El Shorbagy, Mohamed Elsayed Gabr
Impact Of Traffic Congestion On Transportation System: Challenges And Remediations - A Review, Hamdy B. Faheem, Amira M. El Shorbagy, Mohamed Elsayed Gabr
Mansoura Engineering Journal
Traffic congestion is a growing problem in urban transportation networks around the world, having major consequences for the economy and the environment. As metropolitan populations rise and more people rely on autos for mobility, traffic congestion is becoming more common and severe. This review paper presents an overview of the economic and environmental issues caused by traffic congestion in urban areas, as well as proposed ways to reduce its negative effects. It discusses potential traditional transportation solutions such as traffic management infrastructure development, improving public transportation, and intelligent transportation solutions to address traffic congestion problems such as smart parking systems, …
The Role Of Smart Systems In Conservation On Sustainability Of Heritage Buildings, Aml Abd El-Wareth Mohamed
The Role Of Smart Systems In Conservation On Sustainability Of Heritage Buildings, Aml Abd El-Wareth Mohamed
Mansoura Engineering Journal
Abstract— Historic cities with challenges in trying to integrate their heritage buildings to keep pace with the age of technology, by developing a vision for an intelligent environment (IE) of the future that would integrate smart systems for conservation on heritage. Recent, information and communications technology (ICT) progress has diverse smart heritage solutions, enhancing efficiency, sustainability, and longevity for future generations. Research problem includes challenging the possibility of integrating smart systems into heritage buildings while conserving its values, identity, and using it effectively, sustainably manner, also no comprehensive model for smart technology integration in heritage buildings for automation and control …
Application Of Machine Learning Models In The Capacity Prediction Of Ccfst Columns, Khaled Megahed, Nabil Said Mahmoud, Saad Elden Mostafa Abd-Rabou
Application Of Machine Learning Models In The Capacity Prediction Of Ccfst Columns, Khaled Megahed, Nabil Said Mahmoud, Saad Elden Mostafa Abd-Rabou
Mansoura Engineering Journal
Circular concrete-filled steel tubular (CCFST) columns are widely utilized in structural engineering due to their impressive load-bearing capabilities and ductility. Existing design standards often yield disparate outcomes when applied to structural columns with identical properties, introducing uncertainty for engineering designers. This study introduces an innovative technique to address these challenges using two machine learning (ML) models: Gaussian process regression (GPR) and extreme gradient boosting (XGBoost). These models consider various input variables, including the geometric and material properties of CCFST columns, to estimate the compressive strength. The models undergo training and evaluation using two datasets comprising 1004 axially loaded CCFST columns …
Numerical And Analytical Solution For Nonlinear Free Vibration Of Tapered Beams, Zain Abu Shaeer Abu Shaeer, Ramy I. Shahin, Galal I. El-Baghdady, Saad A. Yehia
Numerical And Analytical Solution For Nonlinear Free Vibration Of Tapered Beams, Zain Abu Shaeer Abu Shaeer, Ramy I. Shahin, Galal I. El-Baghdady, Saad A. Yehia
Mansoura Engineering Journal
This study introduces a computational approach that combines numerical and semi-analytical methods to solve tapered beams' nonlinear free vibration equation. The study employs a numerical approach that relies on the cubic B-spline collocation method and an approximation technique known as the Homotopy perturbation method to approximate the solution to the equation governing nonlinear large-amplitude free vibrations of tapered beams. The effect of vibration amplitude on the frequency of nonlinear vibrations is investigated. The next step is to look at different ways to get close to exact solutions across the whole range of oscillation amplitude. This will show how useful and …
An Enhanced Lane Detection Technique Based On Active Learning, Ahmed M. Radwan, Amira Y. Haikal, Hisham E. Gad, Mohamed M. Abdelsalam
An Enhanced Lane Detection Technique Based On Active Learning, Ahmed M. Radwan, Amira Y. Haikal, Hisham E. Gad, Mohamed M. Abdelsalam
Mansoura Engineering Journal
The lane detecting algorithm plays a major role in advanced driver assistance systems (ADAS) and autonomous driving systems. In recent years, deep learning-based lane detection techniques have shown encouraging results; nonetheless, the quality and size of the training data set has a significant impact on how effective these techniques are. Active learning is a technique that can improve the capacity of deep learning-based lane identification systems to repeatedly choose and classify valuable samples from a large body of unlabeled data. In this research, a novel 1-dimensional deep learning approach is used to present an augmented Active Learning based Lane Detection …
Deep Learning Based Classification Of Focal Liver Lesions With 3 And 4 Phase Contrast-Enhanced Ct Protocols, Ahmed El-Emam, Hossam El-Din Moustafa, Mohamed Moawad, Mohamed Aouf
Deep Learning Based Classification Of Focal Liver Lesions With 3 And 4 Phase Contrast-Enhanced Ct Protocols, Ahmed El-Emam, Hossam El-Din Moustafa, Mohamed Moawad, Mohamed Aouf
Mansoura Engineering Journal
It had been noticed that 3-phase and 4-phase computed tomography protocols with contrast serve as standard examinations for diagnosing liver tumors. Additionally, many patients require periodic follow-up, which entails significant radiation exposure for them. Advancements in image processing facilitate automated liver lesion segmentation. However, the challenge remains in classifying these small lesions by doctors, especially when the liver has different types of lesions with very little intensity difference. Therefore, deep learning can be utilized for the classification of liver lesions. The present work introduces a CNN-based module for the classification of liver lesions. The module consists of four stages: data …
Enhancing Network Security In Iot Applications Through Ddos Attack Detection Using Ml, Ahmed Mohamed Salama, Mohamed Abdelazim Mohamed, Eman Abdelhalim
Enhancing Network Security In Iot Applications Through Ddos Attack Detection Using Ml, Ahmed Mohamed Salama, Mohamed Abdelazim Mohamed, Eman Abdelhalim
Mansoura Engineering Journal
A significant issue that affects contemporary network infrastructures is the Distributed Denial of Service (DDoS) attack, which presents serious dangers to organizations, people, and even governments. By flooding a target server, network, or website with deceptive traffic, this kind of cyberattack seeks to prevent it from providing services to legitimate users. For those in charge of maintaining network security, the prevalence and sophistication of these attacks have both grown significantly. DDoS attacks have the potential to lead to significant financial losses and service interruptions. Anomaly-based systems, traffic filtering, and Machine Learning (ML) algorithms are employed to spot them and lessen …
Effect Of The Shape And Volume Of Capsulated Phase Change Materialon The Melting Process And Exergy Efficiency, Ahmed Saad Soliman, Ahmed A. Sultan, Mohamed A. Sultan
Effect Of The Shape And Volume Of Capsulated Phase Change Materialon The Melting Process And Exergy Efficiency, Ahmed Saad Soliman, Ahmed A. Sultan, Mohamed A. Sultan
Mansoura Engineering Journal
Due to the lack of solar energy continuity throughout the day, researchers tended to store this energy in phase change materials (PCM). The goal is to store a big amount of energy in a small PCM mass. In this study, the effect of the capsule shape (circular and elliptical cross-section), number of capsules with the same volume (1, 2, 3, 4, and 5 capsules), and one capsule with increasing its initial volume (multiplying of volume ratio 1 (Vr = 2, 3, 4, and 5)) on the PCM melting process was studied. The results of the numerical model for both circular …
Machine Learning-Based Prediction Of International Roughness Index For Continuous Reinforced Concrete Pavements, Ragaa T. Abd El-Hakim, Ahmed N. Awaad, Sherif M. El-Badawy
Machine Learning-Based Prediction Of International Roughness Index For Continuous Reinforced Concrete Pavements, Ragaa T. Abd El-Hakim, Ahmed N. Awaad, Sherif M. El-Badawy
Mansoura Engineering Journal
The International Roughness Index (IRI) serves as a crucial indicator for ride quality and user comfort. As road roughness escalates, road serviceability diminishes, resulting in reduced vehicle speed and increased travel time, and consequently higher carbon dioxide emissions. Predicting the IRI is of utmost importance for Pavement Management Systems and sustainable development overall. While numerous studies have forecasted the IRI of flexible pavements, there is a notable scarcity of research focusing on rigid pavement performance prediction. This study addresses the gap in predicting IRI for Continuous Reinforced Concrete Pavements (CRCP), an understudied aspect of pavement engineering. Leveraging the Long-Term Pavement …
A Novel Method For The Production Of Pig Iron In “Hadisolb” Company (Industrial-Scale Experiments), El-Sayed A. Rassoul
A Novel Method For The Production Of Pig Iron In “Hadisolb” Company (Industrial-Scale Experiments), El-Sayed A. Rassoul
Mansoura Engineering Journal
The chairman of “Hadisolb” had submitted a memorandum in 1977 in which he claimed that the company will never achieve its designed capacity unless it gets rid of the threatening impurities -high alkalis & MnO- in the blast furnace burden. Meanwhile, the DR steel companies are suffering from the generated accumulated wastes which contain > 67% Fe, zero% alkalis and traces of MnO. The novel idea here is finding the best ratio between El-Gedida ore and the waste material (W.M.). In a previous investigation a series of pilot-scale sintering experiments were performed and it was concluded that the blend containing 70% …
The Mechanical Performance Of Sustainable High Performance Concrete Containing Hybrid Polypropylene Fibers And Exposed To Elevated Temperatures, Ahmed M. Tahwia, Marwa M. Ouda, Mohamed Abdellatief, Walid E. Elemam
The Mechanical Performance Of Sustainable High Performance Concrete Containing Hybrid Polypropylene Fibers And Exposed To Elevated Temperatures, Ahmed M. Tahwia, Marwa M. Ouda, Mohamed Abdellatief, Walid E. Elemam
Mansoura Engineering Journal
The purpose of this research is to investigate the impact of hybrid micro and macro polypropylene fibers (PPFs) on the mechanical characteristics and microstructure of high performance concrete (HPC). Seven concrete mixes with different contents of hybrid polypropylene fibers were tested. The tests included the slump test, compressive and flexural strength, resistance to elevated temperatures, and concrete microstructure. Compared to the control mixture, introducing macro and micro polypropylene hybrid fibers to HPC mixes dramatically enhanced the flexural and compressive strength of concrete while lowering workability. HPC compressive and flexural strengths decrease as temperature rises, nevertheless, the strength loss rate was …
Retrofitting The Building Materials And Techniques Of A Residential Villa: Finding Alternative Solutions, Ahmed Abdelmonteleb M. Ali, Essam S. Almahmoud, Azzam I. Aljutayli, Basem O. Elgendy, Meshal A. Alhrabi, Khattab I. Alyahya
Retrofitting The Building Materials And Techniques Of A Residential Villa: Finding Alternative Solutions, Ahmed Abdelmonteleb M. Ali, Essam S. Almahmoud, Azzam I. Aljutayli, Basem O. Elgendy, Meshal A. Alhrabi, Khattab I. Alyahya
Mansoura Engineering Journal
Approximately 40% of greenhouse gas emissions globally are attributed to the construction industry, with building materials alone accounting for 11%. This study evaluated several building materials and techniques to investigate alternative possibilities for retrofitting a residential villa. The research methodology thoroughly evaluated the building materials and techniques employed in a Saudi villa as a case study located in Buraidah within the Al-Qassim Region. This examination included the structural integrity and cost comparison between the current and suggested scenarios. Alternative building materials and methods are discovered, and their possible application in retrofitting the villa is examined based on this evaluation. The …
An Innovative Covid-19 Patient Recognition Framework, Shereen H. Ali
An Innovative Covid-19 Patient Recognition Framework, Shereen H. Ali
Mansoura Engineering Journal
A virus called COVID-19 has caused devastation throughout the world and is still putting people's lives in jeopardy. It is important to identify COVID-19 patients as soon as possible so that they can be treated and kept from spreading. A new framework for recognizing COVID-19-infected individuals would be provided in this study. The patient’s recognition framework (PRF) is a term used to describe a method for detecting patients. The PRF consists of three stages, which are: the pre-processing stage (P2S), the feature selection stage (FS2), and the classification stage (CS). The P2S extracts a collection of features from CT chest …
Neural Network-Based Fault Distance Estimation For Multi-Terminal Dc Microgrids, Mohamed Elmadawy, Abdelhady Ghanem, Sayed Abulanwar, Ahmed Shahin
Neural Network-Based Fault Distance Estimation For Multi-Terminal Dc Microgrids, Mohamed Elmadawy, Abdelhady Ghanem, Sayed Abulanwar, Ahmed Shahin
Mansoura Engineering Journal
Fault distance estimation in DC microgrids is a critical issue due to the growing adoption of DC-based distribution systems. Current methods face limitations like sensitivity to system parameters and high-resistance fault detection, necessitating improved accuracy. This study proposes a neural network approach to accurately locate fault distances in multi-terminal DC microgrids. Three different structures based on backpropagation algorithms are developed and trained to estimate fault distances with high precision. These structures can handle various fault scenarios, including different fault resistances and the presence of noise. Two of the structures can predict fault distances from one side locally, achieving low error …
Study The Application Of Different Building Technology Systems Case Study: A Residential Villa In Al-Qassim Region, Ksa, Ahmed Abdelmonteleb M. Ali, Essam S. Almahmoud, Basem O. Elgendy, Azzam I. Aljutayli, Meshal A. Alhrabi, Khattab I. Alyahya
Study The Application Of Different Building Technology Systems Case Study: A Residential Villa In Al-Qassim Region, Ksa, Ahmed Abdelmonteleb M. Ali, Essam S. Almahmoud, Basem O. Elgendy, Azzam I. Aljutayli, Meshal A. Alhrabi, Khattab I. Alyahya
Mansoura Engineering Journal
Buildings are responsible for 39% of global energy-related carbon emissions; 11% come from materials and construction, and 28% come from operational emissions (the energy required to heat, cool, and power). Embodied carbon will contribute an increasing amount to the emissions from new buildings in the future as carbon emissions from building operations continue to decline. This study examined several construction methods and materials to evaluate alternatives for remodeling a residential villa. A villa in the Al-Qassim Region, Buraidah, served as a case study for this research. The methodology employed provided a meticulous appraisal of the building materials and techniques currently …
Analysis Of A Coaxial Magnetic Gear Optimally Designed Using Particle Swarm Optimization, Yasser Kassab, Abdelhady Ghanem, Eid Gouda
Analysis Of A Coaxial Magnetic Gear Optimally Designed Using Particle Swarm Optimization, Yasser Kassab, Abdelhady Ghanem, Eid Gouda
Mansoura Engineering Journal
One important key to improve the efficiency of adjustable speed drives is using magnetic gears due to their advantages in comparison to their mechanical counterparts. This paper introduces an analysis study for a magnetic gear optimally designed using the particle swarm optimization algorithm (PSO). Moreover, the results of the PSO-based design are compared with the results of another optimization design process based on a genetic algorithm for the same design parameters and constraints. The proposed magnetic gear topology to be optimized is a radially magnetized coaxial configuration with a surface-mounted permanent magnet array. The gear ratio of the proposed magnetic …
Influence Of Macro-Synthetic Fibers On The Flexural Behavior Of High Strength Concrete Beams Reinforced With Gfrp Bars, Maryam M. Koura, Ahmed M. Tahwia, Mohamed H. Matthana
Influence Of Macro-Synthetic Fibers On The Flexural Behavior Of High Strength Concrete Beams Reinforced With Gfrp Bars, Maryam M. Koura, Ahmed M. Tahwia, Mohamed H. Matthana
Mansoura Engineering Journal
Rusting of steel reinforcement in marine environments causes the overall destruction of reinforced concrete constructions; steel rebars in concrete members have been replaced with fiber-reinforced polymer (FRP) bars in recent years. To enhance the shear behavior of glass (GFRP) bars reinforced concrete (RC), macro-synthetic polyolefin (PO) fiber was added. These materials have a low modulus of elasticity, a high tensile strength, and a linear stress-strain response to full failure. This study investigates the effect of macro synthetic structural fibers on the post-cracking and deformability properties of high strength concrete reinforced with FRP bars without transverse reinforcement. Eight full-scale RC beams …
Environmental Impact Assessment Of Water Desalinating Systems: Kuwait As A Case Study, Eissa S. Al-Mutairi, Ibrahim.G. Rashed, Mohamed.M. El-Halwany, Mohamed A. Mosaad
Environmental Impact Assessment Of Water Desalinating Systems: Kuwait As A Case Study, Eissa S. Al-Mutairi, Ibrahim.G. Rashed, Mohamed.M. El-Halwany, Mohamed A. Mosaad
Mansoura Engineering Journal
The challenge of managing water resources is intensifying due to rapid urbanization, population expansion, and the growth of industry and agriculture. Furthermore, the looming threat of climate change significantly impacts both water resources and crop yields. In Kuwait, the majority of its potable water supply is dependent on seawater desalination. Specifically, multistage flash (MSF) desalination accounts for nearly 90% of the country's total desalination capacity, while the remaining 10% is generated using multi-effect distillation (MED) technology. Nevertheless, the environmental repercussions of desalination on Kuwait's ecosystem remain a subject of profound concern. This study employs a comprehensive approach, utilizing peer-reviewed journal …
Effect Of Rows And Columns On The Heat Transfer Characteristics Of Pcm Staggered Capsules Bundle, Ahmed Saad Soliman, Ahmed A. Sultan, Mohamed A. Sultan
Effect Of Rows And Columns On The Heat Transfer Characteristics Of Pcm Staggered Capsules Bundle, Ahmed Saad Soliman, Ahmed A. Sultan, Mohamed A. Sultan
Mansoura Engineering Journal
The current work is a heat exchanger (H.EX) incorporating several oval capsules filled with PCM as staggered bundles in a shell. Through the charging process, the PCM, initially at 299 K, is heated by passing a cross flow of hot water in the upward direction by a value of 343K. After complete melting, the solidification process is started by passing water at a temperature of 283 K. The proposed unit is studied with different rows (3, and 5 rows), and columns (3, and 5 columns), including 8, 13, 14, and 23 capsules. The number of rows and columns gets four …
Unleashing The Potential: The Impact Of Biophilic Office Design On Enhancing Employee Productivity, Asmaa Elantary
Unleashing The Potential: The Impact Of Biophilic Office Design On Enhancing Employee Productivity, Asmaa Elantary
Mansoura Engineering Journal
The observed landscape influences people in numerous ways, including aesthetic appreciation, health, and well-being. The evidence of health benefits associated with viewing those landscapes has proven exceptional value. A comprehensive review of papers on landscapes and sound effects on health was conducted. According to a growing body of evidence, exposure to visible landscapes positively affects one's health and fitness. The most pressing social and economic challenge now is increasing worker productivity, attracting, and retaining exceptionally talented employees, and improving overall employee performance. This will not happen unless companies provide a safe, comfortable, and stimulating work environment; this will not happen. …