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Articles 166231 - 166260 of 5155278
Full-Text Articles in Entire DC Network
H2) The Exploration Of Tourists’ Motivation Of Religious Sites Visitation In Destinations Less Popular In Religious Tourism, Po Man F. Tse
H2) The Exploration Of Tourists’ Motivation Of Religious Sites Visitation In Destinations Less Popular In Religious Tourism, Po Man F. Tse
International Religious Tourism and Pilgrimage Conferences
Religious attractions have been playing a critical role in tourist destinations. Most of the studies focused on exploring the motivation of tourists visiting sacred destinations where the religion is originated. Yet, little is known on the motivations of tourists visiting religious sites in destinations that are less popular for religious tourism (Tse & Ho, 2019). Besides, relationship between motivation and place attachment is crucial to the development of destination, tourist management and the design of marketing strategy (Ogunjinmi et al., 2019).
Motivation is the driving force that arouses and influences travel behaviour (Prayag & Lee, 2019), which also affects tourists’ …
H4) Developing Faith Based Visitation For Malta A Pilot Project For A Quality Tourism Experience, Julian Zarb
H4) Developing Faith Based Visitation For Malta A Pilot Project For A Quality Tourism Experience, Julian Zarb
International Religious Tourism and Pilgrimage Conferences
The concept for developing faith-based visitor experiences has emanated from the principles of community-based tourism, first researched by Peter Murphy (1986). Since 1958, these islands have attracted visitors for sun and sea holidays, normally at the peak between June and September, although there have been attempts over the past twenty years to offer opportunities during the “shoulder” months. The type of visitor during the “shoulder” months has varied from the MICE business visitor to the visitor coming to these islands to attend some concert or theatre presentation. Some visitors have been interested in the culture and heritage, although this is …
G4) Unveiling The Potential: Exploring The Role Of Waqf In Catalysing Islamic Religious Tourism Growth, Tariq Elhadary, Razaq Raj
G4) Unveiling The Potential: Exploring The Role Of Waqf In Catalysing Islamic Religious Tourism Growth, Tariq Elhadary, Razaq Raj
International Religious Tourism and Pilgrimage Conferences
This paper explores the proportional relationship between Islamic waqf and the growth of tourism, with a specific emphasis on Islamic religious tourism. Islamic waqf refers to the endowment or charitable trust established under Islamic principles, aimed at promoting religious, educational, or social welfare activities. Over the centuries, waqfs have played a crucial role in supporting various institutions and initiatives within the Muslim world. Tourism, as a global industry, has witnessed significant growth in recent years. With the rise of Islamic religious tourism, which caters to the specific needs and interests of Muslim travellers, there is a need to examine the …
H3) The “Tradition” Of The Torchlight Procession Of Solferino (Fiaccolata Di Solferino)., Mara F. Dissegna
H3) The “Tradition” Of The Torchlight Procession Of Solferino (Fiaccolata Di Solferino)., Mara F. Dissegna
International Religious Tourism and Pilgrimage Conferences
This paper describes a case study of a “pilgrimage”: the Red Cross (RC) torchlight procession of Solferino. This “tradition,” born twenty years ago, represents a fundamental moment of the RC-RC Movement year after year, bringing thousands of members worldwide to Castiglione delle Stiviene yearly. It is vital because many members from around the globe return to the origins as a refreshment of the movement's principles memory. The “fiaccolata” goes from Solferino (RC Memorial) to Castiglione delle Stiviere. It represents the way of the people who, after the battle of Solferino (2406/1859), brought almost all wounded soldiers from the battlefield to …
H1) ‘Clothesure’: How A Pilgrim’S Clothes Can Become ‘Sacred’ And Contribute To Narrative Identity, Stephen F. Haller
H1) ‘Clothesure’: How A Pilgrim’S Clothes Can Become ‘Sacred’ And Contribute To Narrative Identity, Stephen F. Haller
International Religious Tourism and Pilgrimage Conferences
This paper provides the story which explains how pilgrim-identity is created and endures through the clothes they wear; and why pilgrims are reluctant to throw their clothes, boots, and gear away preferring instead to dispose of them ceremoniously; for instance, burning them.
We understand our lives as stories. Narrative is what unifies a life, and chapters of that life, into a whole, with a beginning, middle and end. The choices of what to link together into a story are what makes meaning out of that which would otherwise be a random collection of events. Stories come to an end, which …
The New Reality For The Material Handling Industry, Sunderesh S. Heragu
The New Reality For The Material Handling Industry, Sunderesh S. Heragu
International Material Handling Research Colloquium
No abstract provided.
Development Of Mechanical Transfer Station For Automated Transport Robots, Stefan Galka
Development Of Mechanical Transfer Station For Automated Transport Robots, Stefan Galka
International Material Handling Research Colloquium
No abstract provided.
Logistical Automation In Hospitals In The Dach Region And Approaches To Increasing Process Efficiency Through Automation, Emily C. Spicker, Sabrina Forster, Sonja Stabenow, Sidra Rashid, Johannes Fottner, Dirk Wilhelm
Logistical Automation In Hospitals In The Dach Region And Approaches To Increasing Process Efficiency Through Automation, Emily C. Spicker, Sabrina Forster, Sonja Stabenow, Sidra Rashid, Johannes Fottner, Dirk Wilhelm
International Material Handling Research Colloquium
No abstract provided.
Store-By-Voice: A Voice-Controlled Putaway And Stocktaking System, Thorsten Schmidt, Heiner Ludwig, Mathias Kühn
Store-By-Voice: A Voice-Controlled Putaway And Stocktaking System, Thorsten Schmidt, Heiner Ludwig, Mathias Kühn
International Material Handling Research Colloquium
No abstract provided.
Daily Shipment Planning Using Generative Ai: A Customized Gpt-Driven Approach, Banu Yetkin Ekren
Daily Shipment Planning Using Generative Ai: A Customized Gpt-Driven Approach, Banu Yetkin Ekren
International Material Handling Research Colloquium
No abstract provided.
Dynamic Management Of Order Picking In Dark Stores And Urban Warehouses, Melih Celik, Arsham Atashi Khoei, Vaggelis Giannikas, Niccolo Corsini
Dynamic Management Of Order Picking In Dark Stores And Urban Warehouses, Melih Celik, Arsham Atashi Khoei, Vaggelis Giannikas, Niccolo Corsini
International Material Handling Research Colloquium
No abstract provided.
Warehouse Dispatching With Conflict Avoidance: A Deep Reinforcement Learning Approach, Maojia P. Li, Michael E. Kuhl
Warehouse Dispatching With Conflict Avoidance: A Deep Reinforcement Learning Approach, Maojia P. Li, Michael E. Kuhl
International Material Handling Research Colloquium
No abstract provided.
Adventist Health Across Cultures, Katia Reinert
Adventist Health Across Cultures, Katia Reinert
Adventist Human-Subject Researchers Association
No abstract provided.
Reusing Materials In The Aerospace Industry, Lama Alanazi, Burtegeljin Gombosuren, Byhalia Jewett
Reusing Materials In The Aerospace Industry, Lama Alanazi, Burtegeljin Gombosuren, Byhalia Jewett
Beyond: Undergraduate Research Journal
This research explores the material recycling methods used by the aerospace industry, particularly in comparison to the reusability of aerospace materials and with the objective to find uses for recycled materials from aircraft. Through an analysis of various other material mitigation methods, it is apparent that the physical degradation of materials after they go through recycling processes and the cost of recycling are the most prominent issues holding the aerospace industry back from being able to recycle aircraft up to 100%. From a comparison of physical characteristics of materials after reprocessing, several materials were found to meet industry standards, while …
Noda News April 2005
New Orleans Dental Association News
New Orleans Dental Association (NODA) News includes regular columns with regional news impacting the New Orleans membership including: columns from the President and Executive Director, feature articles relating to the field of dentistry, association events and upcoming activities, component news, continuing education opportunities, and classifieds.
Noda News Summer 2005
New Orleans Dental Association News
New Orleans Dental Association (NODA) News includes regular columns with regional news impacting the New Orleans membership including: columns from the President and Executive Director, feature articles relating to the field of dentistry, association events and upcoming activities, component news, continuing education opportunities, and classifieds.
Gradually Varied Flow In Horizontal Circular Open Channels, Sanaa M. Hashim, I.M.H. Rashwan, Hewida Omara
Gradually Varied Flow In Horizontal Circular Open Channels, Sanaa M. Hashim, I.M.H. Rashwan, Hewida Omara
Journal of Engineering Research
In investigations of gradually varied flow, open channels are categorized according to bed slope as horizontal, mild, critical, steep, and adverse. A canal is referred to as horizontal if its bed slope is zero. In open-channel hydraulics, calculating the water surface profile in an open channel is regarded as a crucial part of channel design. The objective of this present study is to solve the gradually varied flow in open circular channel with horizontal slope by using two mathematical methods called; direct integration method and Runge-Kutta method. The presented study used the experimental works to offer an explicit closed-form semi-analytical …
A Yolo-Based Deep Learning Approach For Vibration-Based Rotating Shaft Imbalance Detection, Abdelhameed Zayed Dr., Ali Siam Dr.
A Yolo-Based Deep Learning Approach For Vibration-Based Rotating Shaft Imbalance Detection, Abdelhameed Zayed Dr., Ali Siam Dr.
Journal of Engineering Research
One of the prevailing causes of vibrations in machines is rotor imbalance. Rotor balancing can be used to fix the majority of rotating machinery issues. When it comes to high-speed running equipment, even a slight imbalance can lead to serious issues and decrease the operational efficiency of rotating machinery. This work proposed a deep learning approach for the detection of binary and multiclass imbalance in rotating shafts. A YOLOv11 model-based approach is developed to detect imbalance and identify unbalanced rotor positions. To precisely identify unbalanced positions, this method trains the YOLOv11 model using numerous sets of measured response data and …
Flow Characteristics In Open Channel Confluences: Comparison Of Different Turbulence Models, Abdelrahman Mostafa Elazab None, Ibrahim Mohamed Rashwan, H. Omara
Flow Characteristics In Open Channel Confluences: Comparison Of Different Turbulence Models, Abdelrahman Mostafa Elazab None, Ibrahim Mohamed Rashwan, H. Omara
Journal of Engineering Research
This study uses numerical simulations in ANSYS Fluent to analyze the flow characteristics of open channel confluences. The primary objective is to assess the accuracy and predictive performance of three widely used turbulence models: the standard k–ε, the realizable k–ε, and the k–ω SST models. Simulations were performed under steady-state conditions. The results were validated against experimental data. Comparative analysis based on roots mean square error (RMSE) and flow behavior evaluation shows that all models can capture the main flow structures. However, the k–ω SST model demonstrated superior agreement with the experimental results, exhibiting the lowest RMSE and providing the …
A Critical Review Of Electrochemical Chloride Extraction: Mechanisms, Effectiveness, And Impact On Concrete Properties, Mariam Ghazy, Metwally Abd Elaty, Lara A. Farouk
A Critical Review Of Electrochemical Chloride Extraction: Mechanisms, Effectiveness, And Impact On Concrete Properties, Mariam Ghazy, Metwally Abd Elaty, Lara A. Farouk
Journal of Engineering Research
Chloride-induced corrosion poses a significant threat to the durability and service life of reinforced concrete structures, necessitating effective rehabilitation strategies. This research provides a comprehensive review of electrochemical chloride extraction (ECE) for reinforced concrete structures. It explores the mechanisms behind ECE and highlights the factors that influence the treatment's efficiency. Key elements discussed include ECE setup parameters (current density, treatment duration, anode/electrolyte type, temperature) and concrete mix properties (binder type, water-to-binder ratio, cover thickness, reinforcement details). The review also explores ECE's effects on concrete microstructure, including hydration products, porosity, alkali-aggregate reaction, and potential for hydrogen embrittlement, as well as its …
Investigation The Effect Of Integrating Solar Desalination Systems With Firefighting Networks For Coastal Cities, Ramy Elramy, Mohamed Mahgoub, Mohamed Abdelgaied, Ayman Refat Abd Elbar
Investigation The Effect Of Integrating Solar Desalination Systems With Firefighting Networks For Coastal Cities, Ramy Elramy, Mohamed Mahgoub, Mohamed Abdelgaied, Ayman Refat Abd Elbar
Journal of Engineering Research
This study investigates integrating solar desalination systems with seawater-based firefighting networks as a sustainable solution for coastal cities facing freshwater scarcity. This study evaluates technical feasibility, economic impact, and operational performance by comparing conventional seawater firefighting infrastructure with systems utilizing desalinated water produced via solar energy. The methodology includes a detailed component and cost analysis of both systems, supported by experimental pump performance tests using varying salt concentrations and seawater. Results indicate that desalinated water systems offer significant economic savings—approximately 48.82%—due to reduced corrosion, lower maintenance demands, and improved pump efficiency. Experimental findings also show that increased salinity accelerates cavitation …
Numerical Analysis Of Stone Column Installation In Soft Clay: Evaluation Of Dynamic Effects, Saleh I. Rashwan Eng, Waseim R. Azzam Prof, Ahmed M. Nasr Prof
Numerical Analysis Of Stone Column Installation In Soft Clay: Evaluation Of Dynamic Effects, Saleh I. Rashwan Eng, Waseim R. Azzam Prof, Ahmed M. Nasr Prof
Journal of Engineering Research
This study presents a numerical investigation into stone columns’ installation and post-installation behavior in soft clay. A parametric study was conducted to explore excess pore water pressure generation and bearing capacity enhancement. Five stone column configurations were simulated across two radial expansion ratios using the Cylindrical Cavity Expansion (CCE) method implemented in PLAXIS 2D. Results showed that dynamic installation process, simulating vibro-replacement, produced transient stress waves, inducing fluctuations in lateral earth pressure and excess pore water pressure immediately around the column. Moreover, the columns with larger diameters and lengths significantly enhanced the lateral confinement and generated higher excess pore pressures …
Flexural Behavior Of Optimized Crumb Rubber Multilayer Concrete Slab, Rokia Mohamed Shehatta Msc. Student, Dr. Ibrahim El-Azab Lecturer, Civil Engineering Department Faculty Of Engineering,, Mohamed H. Makhlouf Professor Of Rc Structures, Civil Department, Benha Faculty Of Engineering,, Prof. Sameh Yehia Professor Of Reinforced Concrete Structures Faculty Dean, Faculty Of Engineering,
Flexural Behavior Of Optimized Crumb Rubber Multilayer Concrete Slab, Rokia Mohamed Shehatta Msc. Student, Dr. Ibrahim El-Azab Lecturer, Civil Engineering Department Faculty Of Engineering,, Mohamed H. Makhlouf Professor Of Rc Structures, Civil Department, Benha Faculty Of Engineering,, Prof. Sameh Yehia Professor Of Reinforced Concrete Structures Faculty Dean, Faculty Of Engineering,
Journal of Engineering Research
Waste tires are a significant environmental issue, and this study explores the use of crumb rubber concrete (CRC) as a sustainable alternative by incorporating waste rubber from discarded tires as a partial replacement for fine aggregate (sand) in concrete. Seven slab specimens were tested, including a control specimen and six rubberized concrete specimens with 25%, 50%, and 75% rubber content in one-layer and two-layer configurations. The results showed that increasing rubber content led to a decrease in compressive strength and ultimate load capacity, with reductions of up to 85.5% in one-layer slabs and 50% in two-layer slabs compared to the …
Cyclic Combustion Pressure Dynamics Of A Diesel Engine Operating On Waste Frying Oil Biodiesel Blends Using Wavelets, Shady Elmozy, Ahmed Khaira Dr., Elshenawy Elshenawy Prof. Dr., Ali Mohamed Dr., Medhat Elkelawy Prof. Dr,
Cyclic Combustion Pressure Dynamics Of A Diesel Engine Operating On Waste Frying Oil Biodiesel Blends Using Wavelets, Shady Elmozy, Ahmed Khaira Dr., Elshenawy Elshenawy Prof. Dr., Ali Mohamed Dr., Medhat Elkelawy Prof. Dr,
Journal of Engineering Research
This paper investigates the cyclic combustion pressure dynamics of a single-cylinder diesel engine burning waste frying oil biodiesel blends, employing statistical analysis and continuous wavelet transform (CWT) to evaluate combustion stability. Experiments were conducted at a constant engine load (90%) and speed (1500 rpm), with in-cylinder pressure data collected over 400 consecutive cycles for conventional diesel (RD) and biodiesel blends (UB10, UB30, UB50). Results demonstrate that biodiesel blends marginally reduce average peak cylinder pressure (PP) by 0.3–3.8% while lowering PP variability, evidenced by declining coefficients of variation (COV-PP: 1.27–1.48%), attributed to biodiesel’s elevated viscosity promoting consistent fuel-air mixing. Conversely, mean …
Combustion Characteristics And Cycle-To-Cycle Variations In A Diesel Generator Fueled With Used Frying Oil Biodiesel Blends, Shady Elmozy, Ahmad Khira Dr., E. A. El Shenawy Prof. Dr., Medhat Elkelawy Prof. Dr, Eng.
Combustion Characteristics And Cycle-To-Cycle Variations In A Diesel Generator Fueled With Used Frying Oil Biodiesel Blends, Shady Elmozy, Ahmad Khira Dr., E. A. El Shenawy Prof. Dr., Medhat Elkelawy Prof. Dr, Eng.
Journal of Engineering Research
This paper investigates the combustion characteristics and cycle-to-cycle variations in a stationary direct-injection diesel generator fueled with biodiesel derived from used frying oil (UFO) blended with conventional diesel. Used frying oil methyl ester (UFOME), referred to as UB100, was produced through a single-step alkali transesterification process and blended with diesel fuel in varying proportions (UB10, UB20, UB30, UB40, and UB50). Experiments were conducted on a single-cylinder, naturally aspirated diesel engine operating at a constant speed of 1500 rpm under five different load conditions: 0%, 25%, 50%, 75%, and 90%. In-cylinder pressure data from 400 consecutive cycles were analyzed to determine …
Impact Of Gamma-Ray Dose On Indoor Visible Light Communication Link Performance: A Geant4 Study, Fayza Mohamed Elamrawy, Adel Mohamed Ismail, Hossm Kasem Prof, Salah Khamis Prof, Ahmed Abdelaziz Youssef Prof
Impact Of Gamma-Ray Dose On Indoor Visible Light Communication Link Performance: A Geant4 Study, Fayza Mohamed Elamrawy, Adel Mohamed Ismail, Hossm Kasem Prof, Salah Khamis Prof, Ahmed Abdelaziz Youssef Prof
Journal of Engineering Research
This research presents an extended performance analysis of an indoor Visible Light Communication (VLC) system by integrating experimental results with advanced GEANT4 simulations. Building on a prior empirical study that evaluated different LED configurations and photodetectors, this work explores critical environmental and spatial parameters that influence VLC efficiency and reliability. Parameters such as wall reflectivity, emission angles, photon energy, and photon travel time are systematically analyzed using a validated GEANT4 simulation framework. The results confirm the strong impact of narrow emission angles and high wall reflectivity on detection performance, while also highlighting the importance of time delay modeling in high-fidelity …
Machine Learning-Based Prediction Of Load Capacity In Corrugated Concrete-Filled Double Skin Tubes Under Axial Load, Aya Mohsen Handousa Mansoura University, Fikry Salem, Nabil Mahmoud Mahmoud, Mohamed Ghannam
Machine Learning-Based Prediction Of Load Capacity In Corrugated Concrete-Filled Double Skin Tubes Under Axial Load, Aya Mohsen Handousa Mansoura University, Fikry Salem, Nabil Mahmoud Mahmoud, Mohamed Ghannam
Journal of Engineering Research
Concrete-filled double-skin steel tubular (CFDST) columns have become widely utilized in building construction and bridges, thanks to their exceptional structural capabilities. This study investigates the axial compression behavior of corrugated CFDST columns, analyzing the impact of flat or corrugated external/internal plates and varying internal steel tube widths. Furthermore, basic regression analysis fails to precisely forecast the complicated relation between the column properties and their compressive strength. To overcome these challenges, this study suggests two machine learning (ML) models, including the Gaussian process (GPR) and the extreme gradient boosting model (XGBoost). To estimate their strength, these models employ a range of …
An Engineering Solution For Fan Aeroacoustics Measurements Correction In A Non-Anechoic Testing Environment, Saad-Eldin Taha, Mohamed Y.Zakaria, Mohamed Abdelgaied, M.M. Bassuoni Prof. Dr.
An Engineering Solution For Fan Aeroacoustics Measurements Correction In A Non-Anechoic Testing Environment, Saad-Eldin Taha, Mohamed Y.Zakaria, Mohamed Abdelgaied, M.M. Bassuoni Prof. Dr.
Journal of Engineering Research
Abstract- Nowadays, acoustic signatures of daily used applications are to be minimized. The study of noise generated through aerodynamic interaction with moving bodies has passed through different phases since the early 50s, and this leads to the evolvement of many analytical, empirical and computational techniques in order to be able to estimate the emitted noise. Concerning fan blades, until now the researches are still going for a reliable method for noise estimation during the early phases of design which help in the development of blades with a lower aeroacoustic signature, the Brooks, Pope and Marcolini (BPM) model was chosen to …
Evaluating The Role Of Building Information Modeling (Bim) In Minimizing Delays And Reducing Costs In Construction Projects, Hussein Elsayed Mohamed Ismail, Mohammad Ahmad Mohammad Abdulhadi
Evaluating The Role Of Building Information Modeling (Bim) In Minimizing Delays And Reducing Costs In Construction Projects, Hussein Elsayed Mohamed Ismail, Mohammad Ahmad Mohammad Abdulhadi
Journal of Engineering Research
The implementation of Building Information Modeling (BIM) as a construction industry technology delivers extensive effects on project duration and financial management. This investigation examines BIM as a technology specifically designed to cut down construction project delays and decrease expenditures. The scholarly review of existing research material through a secondary approach allows this study to identify BIM's major value contributions.
The implementation of BIM technology enables project schedules to reach improved accuracy which results in a reduction of project delays by 15-25% because of its automation features and effective clash detection and real-time coordination benefits. The application of building information modeling …
Multi-Modal Covid-19 Detection Using Cough Sounds And Medical Information With Attention-Enhanced Deep Learning, Mohamed Talaat Saidahmed, Reda Elbasiony, Marwa Reda Bastwesy, Asmaa Aly Hagar
Multi-Modal Covid-19 Detection Using Cough Sounds And Medical Information With Attention-Enhanced Deep Learning, Mohamed Talaat Saidahmed, Reda Elbasiony, Marwa Reda Bastwesy, Asmaa Aly Hagar
Journal of Engineering Research
The COVID-19 pandemic has highlighted the need for fast, non-invasive, and cost-effective diagnostic tools. Cough sounds, as a prominent symptom of respiratory diseases, present a promising modality for automated COVID-19 detection. In this study, we propose a novel multi-modal deep learning framework for COVID-19 detection that leverages cough sounds and patient-specific medical information. Our approach extracts two types of acoustic features—Mel-Frequency Cepstral Coefficients (MFCCs) and Mel spectrograms—and integrates them with clinical metadata to improve diagnostic ac-curacy. The MFCC branch employs 1D convolutional layers followed by Efficient Channel Attention mechanism. The Mel spectrogram branch utilizes ResNet-50 combined with ECA to capture …