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Modeling Of Nearshore Wave Transformations Behind Submerged Breakwaters, Mona Mahmoud Abdelay, Ibrahim Mohamed Rashwan, Ahmed Shalby, Hewida Mohamed Omara Jan 2024

Modeling Of Nearshore Wave Transformations Behind Submerged Breakwaters, Mona Mahmoud Abdelay, Ibrahim Mohamed Rashwan, Ahmed Shalby, Hewida Mohamed Omara

Journal of Engineering Research

Breakwaters can generally be divided into three categories based on where the sea level is: submerged breakwater, emerged breakwater, and lower limit breakwater. Nearshore barriers with an underwater structure called submerged breakwaters are used to dissipate the force of wave strikes and safeguard the shoreline. The wave transmission coefficient value can be used to assess submerged breakwaters' contribution to the wave energy decrease. In the past mathematical and physical models were used to understand how the submerged breakwater affects incoming wave energy, hydrodynamic processes, and morphological changes. In the present study, the MIKE21 SW software as the numerical model was …

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The Effect Of An Existing Tunnel And A Newly Excavated Tunnel On Ground Loss Beneath Sand Slope-3d Numerical Study, Ashraf Nazir, Ahmed Nasr, Asmaa Saeed Jan 2024

The Effect Of An Existing Tunnel And A Newly Excavated Tunnel On Ground Loss Beneath Sand Slope-3d Numerical Study, Ashraf Nazir, Ahmed Nasr, Asmaa Saeed

Journal of Engineering Research

Abstract- Most researchers perform their numerical models for tunnels by modeling perfectly horizontal ground surfaces above the tunnels. The prediction of surface settlement of a sandy slope due to the interaction mechanism between the slope and the tunnels is one of the critical problems in urban areas. As a result, in this work, a numerical analysis using PLAXIS 3D TUNNEL has been performed to investigate the effect of tunnel excavation on the deformation of a shallow sandy slope, and empirically by the Herzog method. The study also assesses the influence of parameters on slope deformation that have not been …

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Implications And Hydrographs For Two Pre-Bonneville Pluvial Lakes And Double Geosols From 14 Osl-Irsl Ages In Cache Valley, Ne Bonneville Basin, Robert Q. Oaks Jr., Susanne Jänecke, Tammy Rittenour, Thad Erickson, Michelle Nelson Jan 2024

Implications And Hydrographs For Two Pre-Bonneville Pluvial Lakes And Double Geosols From 14 Osl-Irsl Ages In Cache Valley, Ne Bonneville Basin, Robert Q. Oaks Jr., Susanne Jänecke, Tammy Rittenour, Thad Erickson, Michelle Nelson

Geosciences Faculty Publications

In the northeastern Great Basin, USA, thirteen new optically stimulated luminescence (OSL) ages and one infrared stimulated luminescence (IRSL) age show that two deep pluvial lakes preceded the Bonneville lake cycle in Cache Valley during marine oxygen-isotope stages (MIS) 6 (213-191 ka) and 4 (56-71 ka), respectively. Our new data define quantitative hydrographs of the Little Valley and Cutler Dam lake cycles in both Cache Valley and the main Bonneville basin. In western Cache Valley, excavation of a faulted, east-plunging spit has sequentially exposed these deposits and overlying MIS 3 Fielding humid-over-arid double geosols that end westward at a strand …

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Opportunities And Challenges Of Generative Ai In Construction Industry: Focusing On Adoption Of Text-Based Models, Prashnna Ghimire, Kyungki Kim, Manoj Acharya Jan 2024

Opportunities And Challenges Of Generative Ai In Construction Industry: Focusing On Adoption Of Text-Based Models, Prashnna Ghimire, Kyungki Kim, Manoj Acharya

Durham School of Architectural Engineering and Construction: Faculty Publications

In the last decade, despite rapid advancements in artificial intelligence (AI) transforming many industry practices, construction largely lags in adoption. Recently, the emergence and rapid adoption of advanced large language models (LLMs) like OpenAI’s GPT, Google’s PaLM, and Meta’s Llama have shown great potential and sparked considerable global interest. However, the current surge lacks a study investigating the opportunities and challenges of implementing Generative AI (GenAI) in the construction sector, creating a critical knowledge gap for researchers and practitioners. This underlines the necessity to explore the prospects and complexities of GenAI integration. Bridging this gap is fundamental to optimizing GenAI’s …

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Regulation Of Polysaccharide In Wu-Tou Decoction On Intestinal Microflora And Pharmacokinetics Of Small Molecular Compounds In Aia Rats, Di Yang, Xiaoxu Cheng, Meiling Fan, Dong Xie, Zhiqiang Liu, Fei Zheng, Yulin Dai, Zifeng Pi, Hao Yue Jan 2024

Regulation Of Polysaccharide In Wu-Tou Decoction On Intestinal Microflora And Pharmacokinetics Of Small Molecular Compounds In Aia Rats, Di Yang, Xiaoxu Cheng, Meiling Fan, Dong Xie, Zhiqiang Liu, Fei Zheng, Yulin Dai, Zifeng Pi, Hao Yue

Faculty, Staff and Student Publications

Wu-tou decoction (WTD), a traditional Chinese medicine prescription, is used to treat rheumatoid arthritis (RA). It works by controlling intestinal flora and its metabolites, which in turn modulates the inflammatory response and intestinal barrier function. Small molecular compounds (SM) and polysaccharides (PS) were the primary constituents of WTD extract. In this work, a model of adjuvant-induced arthritis (AIA) in rats was established and treated with WTD, SM, and PS, respectively. 16S rRNA gene sequencing was used to examine the regulatory impact of the various groups on the disturbance of the gut flora induced by RA. Further, since PS cannot be …

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Ai Warfare And The Law, Bill Boothby Jan 2024

Ai Warfare And The Law, Bill Boothby

International Law Studies

AI Warfare and the Law, published as a full volume of International Law Studies, analyzes the legal implications of the introduction of AI technologies into the design of weapon systems and the potential use of AI in connection with military activities. It considers several discrete but related bodies of international law as well as significant aspects of domestic and human rights law. Its key aim is to work out how the law will impact the use of AI technologies and what AI technologies must be able to do if they are to satisfy legal requirements. A further purpose …

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Low Complexity Radio Frequency Interference Mitigation For Radio Astronomy Using Large Antenna Array, Zaid Bin Tariq, Teviet Creighton, Louis Percy Dartez, Naofal Al-Dhahir, Murat Torlak Jan 2024

Low Complexity Radio Frequency Interference Mitigation For Radio Astronomy Using Large Antenna Array, Zaid Bin Tariq, Teviet Creighton, Louis Percy Dartez, Naofal Al-Dhahir, Murat Torlak

Physics & Astronomy Faculty Publications

With the ongoing growth in radio communications, there is an increased contamination of radio astronomical source data, which hinders the study of celestial radio sources. In many cases, fast mitigation of strong radio frequency interference (RFI) is valuable for studying short lived radio transients so that the astronomers can perform detailed observations of celestial radio sources. The standard method to manually excise contaminated blocks in time and frequency makes the removed data useless for radio astronomy analyses. This motivates the need for better radio frequency interference (RFI) mitigation techniques for array of size M antennas. Although many solutions for mitigating …

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Model Predictive Control Of A Lab-Scale Thermal Energy Storage System In Relap5-3d, Jaron Wallace, Daniel Hill, David Thurston, John Hedengren, Matthew Memmott Jan 2024

Model Predictive Control Of A Lab-Scale Thermal Energy Storage System In Relap5-3d, Jaron Wallace, Daniel Hill, David Thurston, John Hedengren, Matthew Memmott

Faculty Publications

Increased renewable energy penetration of an electrical grid generally creates more supply fluctuations. Traditional base-load systems, such as nuclear power, can be retrofitted with thermal energy storage (TES) systems to meet supply demand fluctuations. These systems can store energy during low electricity demand times to allow the reactor to operate at constant power while simultaneously fluctuating electricity output. The control of these systems is of vital importance and Model Predictive Control (MPC) is a leading control mechanism for optimized production plans with forecast information. This study combines high fidelity RELAP5-3D models with MPC to control an experimental benchtop system that …

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Trends In Floating Offshore Wind Platforms: A Review Of Early-Stage Devices, Emma C. Edwards, Anna Holcombe, Scott Brown, Edward Ransley, Martyn Hann, Deborah Greaves Jan 2024

Trends In Floating Offshore Wind Platforms: A Review Of Early-Stage Devices, Emma C. Edwards, Anna Holcombe, Scott Brown, Edward Ransley, Martyn Hann, Deborah Greaves

School of Engineering, Computing and Mathematics

This study reviews early-stage floating offshore wind turbine (FOWT) platform designs. The review covers 86 past and current early-stage platform designs, ranging from early conceptual designs to platforms which have undergone lab tests simulating extreme conditions. The evolution of FOWT platforms is described, and it is shown how FOWT platforms were originally influenced by floating platforms typically used in the oil and gas industry, but FOWT platforms have deviated away from these conventional floater designs to suit the specific needs of the technology. Four phases are defined to characterize chronological shifts in design thinking. There has been a number of …

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Creating Connections: Bed Bugs To Uav Swarms, Austen Pallen, Bryan Watson Jan 2024

Creating Connections: Bed Bugs To Uav Swarms, Austen Pallen, Bryan Watson

Student Research Symposium (SRS)

Modern aerospace systems need a new approach for swarm consensus that is distributed, operates with local knowledge, and uses simple agents. The overarching goal of our research is to advance our understanding of bed bug behavior and use this understanding to improve performance of aerospace swarms. The first step is to understand individual bed bug response to stimuli (CO2, heat, light) and individual neural characteristics, before considering group dynamics. The objective of this proposal to establish a collaboration between biologists and engineers at ERAU to design and implement a test platform to enable new data collection for bed bug movement. …

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The Optimization Of A Model Pipeline For Rapidly Rotating Stars, Jackson Ladd Sackrider, Jason P. Aufdenberg Jan 2024

The Optimization Of A Model Pipeline For Rapidly Rotating Stars, Jackson Ladd Sackrider, Jason P. Aufdenberg

Student Research Symposium (SRS)

Stellar intensity interferometry observations of stars at 416 nm complement Michelson interferometry observations in the near-infrared where stellar surface intensity gradients (e.g., limb darkening) are weaker. Intensity gradients due to gravity darkening in rapidly rotating stars are also expected to show higher contrast at 416 nm relative to the near-infrared. Using Python, Fortran, Perl, and KornShell scripts, we created a software pipeline to model stellar photospheres of rapidly rotating stars and compare predictions at these wavelength regions. The pipeline highlighted in this poster can produce model images, visibility predictions, and synthetic spectra.

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Future Frame Prediction Using Generative Adversarial Networks, Nishtha Jatana, Deekshant Wadhwa, Nitesh Kumar Singh, Oday Ali Hassen, Charu Gupta, Saad Mohammed Darwish, Sundws Mustafa Mohammed, Dhyeauldeen Ahmed Farhan, Ansam Ali Abdulhussein Jan 2024

Future Frame Prediction Using Generative Adversarial Networks, Nishtha Jatana, Deekshant Wadhwa, Nitesh Kumar Singh, Oday Ali Hassen, Charu Gupta, Saad Mohammed Darwish, Sundws Mustafa Mohammed, Dhyeauldeen Ahmed Farhan, Ansam Ali Abdulhussein

Karbala International Journal of Modern Science

The ability of a human to anticipate what is going to happen in the near future given the current situation helps in making intelligent decisions about how to react in that situation. In this paper, we have developed multiple Deep Neural Network models, intending to generate the next frame in a sequence given previous frames. In recent years, Generative Adversarial Networks (GAN) have shown promising results in the field of image generation. Hence, in this paper, we aim to create and compare two Generative Adversarial Models created for Future Frame Prediction by combining GANs with convolutional neural networks, Long Short-Term …

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Treatment Of Oil Refinery Wastewater Polluted By Heavy Metal Ions Via Adsorption Technique Using Non-Valuable Media: Cadmium Ions And Buckthorn Leaves As A Study Case, Salem Jawad Alhamd, Mohammed Nsaif Abbas, Mehrdad Manteghian, Thekra Atta Ibrahim, Karar Dawood Salman Jarmondi Jan 2024

Treatment Of Oil Refinery Wastewater Polluted By Heavy Metal Ions Via Adsorption Technique Using Non-Valuable Media: Cadmium Ions And Buckthorn Leaves As A Study Case, Salem Jawad Alhamd, Mohammed Nsaif Abbas, Mehrdad Manteghian, Thekra Atta Ibrahim, Karar Dawood Salman Jarmondi

Karbala International Journal of Modern Science

This study focuses on the removal of cadmium ions generated by oil refinery wastewater, employing an agricultural by-product. Buckthorn leaves, sourced from Baghdad and Diyala provinces, underwent preparation, including washing, drying, crushing, and sieving before being utilized in experiments. Batch experiments were conducted using simulated solutions to assess the impact of six key adsorption design parameters: pH, cadmium concentration, agitation speed, contact time, adsorbent dosage, and temperature. The highest adsorption efficiency, reaching 94.4367%, was directly correlated with contact time, adsorbent dosage, pH value, and agitation speed, and inversely related to other variables. Morphological studies on the treated adsorbent, indicated structural …

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Sandpiper Food Search Algorithm: A New Optimization Approach For Agents With Limited Knowledge, Jessica Christa Wira Jan 2024

Sandpiper Food Search Algorithm: A New Optimization Approach For Agents With Limited Knowledge, Jessica Christa Wira

Student Research Symposium (SRS)

Optimization problems have become increasingly complex, stretching the limits of conventional methods such as convex optimization, Newton-Raphson method, and others. To address this challenge, numerous metaheuristic algorithms, often inspired by nature, have emerged due to their adaptability and robustness (for example, Gray Wolf Algorithm and Ant Colony Optimization). However, functions that are non-symmetrical or have unique profiles such as basins, valleys, or plates remain challenging for these algorithms. Moreover, most of these existing algorithms have global knowledge, which is unrealistic for some real-world problems such as underground mining and spacecraft trajectory. To bridge this gap, a new biologically inspired optimization …

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Quality Control Of Synthetic Spectra For Sirius A, Katelyn Sonnen, Jason P. Aufdenberg Jan 2024

Quality Control Of Synthetic Spectra For Sirius A, Katelyn Sonnen, Jason P. Aufdenberg

Student Research Symposium (SRS)

The elemental composition of a star's atmosphere is essential to understanding its evolution. Sirius A (Alpha Canis Majoris) is ideal for spectral analysis due to its slow rotation, lack of atmospheric convection. Its parameters, mass, radius, surface gravity, and effective temperature, are all constrained to 1%. Kurucz and Furenlid (1979) published Sample Spectral Atlas for Sirius, however their atlas only covered 354 nm to 440 nm in wavelength. A spectral analysis from 124 nm to 870 nm is necessary to achieve a more accurate abundances using prominent lines of the elements O, Na, Mg, Si, Ca, Cr, Fe, and Zn …

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Creating A Loyal Clientele: The Role Of Service Environment In Health And Fitness Facilities, Rekha Attri, Jagdish Bhagwat, Jack Reardon Jan 2024

Creating A Loyal Clientele: The Role Of Service Environment In Health And Fitness Facilities, Rekha Attri, Jagdish Bhagwat, Jack Reardon

Management Dynamics

India’s fitness service market in the year 2020 was worth US $ 2.6 billion while the fitness product market was worth US $ 3.7 billion and was anticipated to increase by 8.9% CAGR by 2026. Many people now actively participate in sports and attend fitness facilities due to the increased attention being paid to personal health. The factors affecting customer demand for fitness centres have not received much attention. To do so is the purpose of this paper. This study utilized the quantitative survey method of quantitative design to collect responses from fitness centre customers. Online and offline survey questionnaires …

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Customer Churn Construct: Literature Review And Bibliometric Study, Uday Arun Bhale, Harpreet Singh Bedi Jan 2024

Customer Churn Construct: Literature Review And Bibliometric Study, Uday Arun Bhale, Harpreet Singh Bedi

Management Dynamics

Background: The customer churn construct attracted the attention of marketing academics as in today’s digital world price is becoming more and more universal. The study of customer churn is significant because it supports the design of sustainable competitive benefits and improvement in the monetary outcomes of companies. As per a study by Gartner (2012), Customer churn can impact the profitability of the company, a five per cent churn reduction can improve a company’s profitability by up to twenty-five per cent, hence understating and managing customer churn is important for the organization. Objective: This study intends to offer the most recent …

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The Acuracy Of Eastern Bluebird (Sialia Sialis) Nestling Age Estimates Produced From Three Different Aging Guides Of Digital Images, Nikki Wilkins, William P. Brown Jan 2024

The Acuracy Of Eastern Bluebird (Sialia Sialis) Nestling Age Estimates Produced From Three Different Aging Guides Of Digital Images, Nikki Wilkins, William P. Brown

North American Bird Bander

No abstract provided.

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Sexing California Clapper Rails Using Morphological Measurements, Cory T. Overton, Michael L. Casazza, John Y. Takekawa, Tobias M. Rohmer Jan 2024

Sexing California Clapper Rails Using Morphological Measurements, Cory T. Overton, Michael L. Casazza, John Y. Takekawa, Tobias M. Rohmer

North American Bird Bander

No abstract provided.

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Wing Length And Sex Of Hatch-Year Orchard Orioles Determined From Recaptures, William C. Scharf Jan 2024

Wing Length And Sex Of Hatch-Year Orchard Orioles Determined From Recaptures, William C. Scharf

North American Bird Bander

No abstract provided.

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Ecological Indicators In A Gray Catbird Population: Survival Rates, Population Density, And Site Fidelity, Margaret Cantrell Fritze, Hannah Bonsey Suthers Jan 2024

Ecological Indicators In A Gray Catbird Population: Survival Rates, Population Density, And Site Fidelity, Margaret Cantrell Fritze, Hannah Bonsey Suthers

North American Bird Bander

No abstract provided.

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A Net Pole For The Masses, Christopher G. Sims Jan 2024

A Net Pole For The Masses, Christopher G. Sims

North American Bird Bander

No abstract provided.

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Swainsons Hawk Productivity In Saskatchewan, 1944-2004, C. Stuart Houston, Dan Zazelenchuk Jan 2024

Swainsons Hawk Productivity In Saskatchewan, 1944-2004, C. Stuart Houston, Dan Zazelenchuk

North American Bird Bander

No abstract provided.

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Mapping And Geomorphic Characterization Of The Vast Cold-Water Coral Mounds Of The Blake Plateau, Derek C. Sowers, Larry A. Mayer, Giuseppe Masetti, Erik Cordes, Ryan Gasbarro, Elizabeth Lobecker, Kasey Cantwell, Samuel Candio, Shannon Hoy, Mashkoor Malik, Michael White, Matthew Dornback Jan 2024

Mapping And Geomorphic Characterization Of The Vast Cold-Water Coral Mounds Of The Blake Plateau, Derek C. Sowers, Larry A. Mayer, Giuseppe Masetti, Erik Cordes, Ryan Gasbarro, Elizabeth Lobecker, Kasey Cantwell, Samuel Candio, Shannon Hoy, Mashkoor Malik, Michael White, Matthew Dornback

Center for Coastal and Ocean Mapping

A coordinated multi-year ocean exploration campaign on the Blake Plateau offshore of the southeastern U.S. has mapped what appears to be the most expansive cold-water coral (CWC) mound province thus far discovered. Nearly continuous CWC mound features span an area up to 500 km long and 110 km wide, with a core area of high-density mounds up to 254 km long by 42 km wide. This study synthesized bathymetric data from 31 multibeam sonar mapping surveys and generated a standardized geomorphic classification of the region in order to delineate and quantify CWC mound habitats and compare mound morphologies among subregions …

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Estimation Of Sugarcane Yield Using Multi-Temporal Sentinel 2 Satellite Imagery And Random Forest Regression, Alireza Taravat, Gebeyehu Abebe, Berhan Gessesse, Tsegaye Tadesse Jan 2024

Estimation Of Sugarcane Yield Using Multi-Temporal Sentinel 2 Satellite Imagery And Random Forest Regression, Alireza Taravat, Gebeyehu Abebe, Berhan Gessesse, Tsegaye Tadesse

National Drought Mitigation Center: Faculty Publications

Advancements in remote sensing techniques have greatly enhanced crop monitoring and yield estimation, with spectral vegetation indices (VIs) serving as a key component. Our study investigates the use of Sentinel-2 data, notable for its red-edge bands, in estimating sugarcane yield in Ethiopia's Awash Basin. Utilizing 22 VIs from S2 imagery, our approach combines Random Forest (RF) regression with the Recursive Feature Elimination (RFE) algorithm to improve the accuracy of sugarcane yield predictions. The results demonstrate the superior performance of the RF-RFE method over traditional RF with full datasets and Stepwise Multiple Regression (SMR). Particularly, VIs focusing on the red-edge spectral …

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Extended Event Calculus Using Neutrosophic Logic: Method, Implementation, Analysis, Recent Progress And Future Directions, Antonios Paraskevas Jan 2024

Extended Event Calculus Using Neutrosophic Logic: Method, Implementation, Analysis, Recent Progress And Future Directions, Antonios Paraskevas

Neutrosophic Systems with Applications

Brains do not reason as digital computers do. Computers reason in clear steps with statements that are either true or false, while humans reason with vague terms of common sense. Neutrosophy is a new branch of philosophy and machine intelligence that deals with neutralities, specifically the idea of indeterminacy that is evident and experienced in our everyday lives. Indeterminacy is interpreted as everything that falls between a concept, idea, statement, declaration, etc. and its opposite. The fundamental thesis of neutrosophy is to employ neutrosophic logic, an extension of fuzzy logic, to incorporate fuzzy truth into complex schemes of formal reasoning. …

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Open System Neural Networks, Bradley Hatch Jan 2024

Open System Neural Networks, Bradley Hatch

Theses and Dissertations

Recent advances in self-supervised learning have made it possible to reuse information-rich models that have been generally pre-trained on massive amounts of data for other downstream tasks. But the pre-training process can be drastically different from the fine-tuning training process, which can lead to inefficient learning. We address this disconnect in training dynamics by structuring the learning process like an open system in thermodynamics. Open systems can achieve a steady state when low-entropy inputs are converted to high-entropy outputs. We modify the the model and the learning process to mimic this behavior, and attend more to elements of the input …

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Exploring Pilgrims’ Perceptions Of Islamic Tour Operators In The United Kingdom: Insights For Improved Services, Shabir Ahmad, Kamran Siddiqui Jan 2024

Exploring Pilgrims’ Perceptions Of Islamic Tour Operators In The United Kingdom: Insights For Improved Services, Shabir Ahmad, Kamran Siddiqui

International Journal of Religious Tourism and Pilgrimage

In recent years, religious tourism has gained popularity worldwide, with millions of people travelling to different destinations for religious purposes. The United Kingdom has a growing Muslim population, and Islamic religious tourism is no exception. However, little research has been conducted on the pilgrim’s perceptions of Islamic religious tour operators in the United Kingdom. Understanding these perceptions is essential for tour operators to provide better services and attract more customers. The present study aims to contribute to Islamic tourism research by assessing the perceptions of pilgrims toward religious tour operators in the United Kingdom. Employing a snowball sampling technique, this …

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Elementary Teachers’ Preparedness To Teach Three-Dimensional Standards In The United Arab Emirates, Zoya Houjeiri Jan 2024

Elementary Teachers’ Preparedness To Teach Three-Dimensional Standards In The United Arab Emirates, Zoya Houjeiri

Walden Dissertations and Doctoral Studies

No abstract provided.

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Exploring The Nexus Of Cybercrime, Money Laundering, Ethics And Deterrence In The Age Of Smart Machines, Leila Halawi, Robert Bacon Jan 2024

Exploring The Nexus Of Cybercrime, Money Laundering, Ethics And Deterrence In The Age Of Smart Machines, Leila Halawi, Robert Bacon

Publications

As societies transitioned from the industrial era to the post-knowledge age, marked by the widespread adoption of artificial intelligence (AI), the volume and accessibility of information experienced unprecedented growth. This transformation led to the ‘AI Age,’ where smart machines became paramount. Simultaneously, it marked an era of innovation and automation, promising greater efficiency and presenting novel challenges. In this dynamic landscape, cybercrime found fertile ground to evolve and adapt. It expanded its scope from early computer intrusions to many activities, from data breaches and ransomware attacks to identity theft and financial fraud. Money laundering, too, evolved in tandem, capitalizing on …

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