Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Keyword
-
- Daniel Felix Ritchie School of Engineering and Computer Science (301)
- Electrical and Computer Engineering (81)
- Mechanical and Materials Engineering (74)
- Machine learning (69)
- Simulation (69)
-
- Modeling (40)
- Optimization (36)
- Computer vision (33)
- Additive manufacturing (31)
- Renewable energy (29)
- CFD (28)
- ETD (27)
- Finite element analysis (24)
- Artificial intelligence (23)
- Computational fluid dynamics (23)
- Optics (22)
- Deep learning (21)
- Robotics (21)
- Combustion (20)
- Computer Science (20)
- Heat transfer (18)
- MEMS (18)
- Machine Learning (18)
- Remote sensing (18)
- Data mining (17)
- Nonlinear optics (17)
- Biomechanics (16)
- Classification (16)
- Nanoparticles (16)
- Diffusion (15)
- Publication Year
Articles 1 - 30 of 4664
Full-Text Articles in Entire DC Network
Rockin’ Rehab: Novel Rocking Chair For Children With Spinal Cord Injury To Enable Trunk Muscle Activation And Detect Muscle Activation Patterns., Johnathan Jay George
Rockin’ Rehab: Novel Rocking Chair For Children With Spinal Cord Injury To Enable Trunk Muscle Activation And Detect Muscle Activation Patterns., Johnathan Jay George
Electronic Theses and Dissertations
Introduction: Activity-based locomotor training improves trunk control in children with spinal cord injury (SCI), and there is need for additional activities to allow these children to activate trunk muscles. The purpose of this research was to design, fabricate, and evaluate a rocking chair for children with SCI, and to investigate the activation of muscles during use. Sensorization of the chair to confirm muscle activation is also explored. Methods: Quality Function Deployment (QFD) design methodologies identified and ranked needs and features for the rocking chair. A design was developed and evaluated via finite element analysis. The chair was fabricated and tested …
Multithreaded Applications On The Heterogeneous Research Computing Environment., Sungbo Jung
Multithreaded Applications On The Heterogeneous Research Computing Environment., Sungbo Jung
Electronic Theses and Dissertations
Bioinformatics is a domain that has experienced rapid research growth in recent years, as evidenced by the increasing number of articles in biomedical databases such as PubMed, which adds over a million publications every year. However, this also poses a challenge for researchers who need to find relevant citations for their work. Therefore, developing efficient indexing and searching methods for text data is crucial for Bioinformatics. One key technique for information retrieval is document inversion, which involves creating an inverted index to enable efficient searching through vast collections of text or documents. This Ph.D. research aims to design the research …
A Design Science And Implementation Framework For Studying Interruptions And Its Application In A Dental Clinic., Carsten Ziegler
A Design Science And Implementation Framework For Studying Interruptions And Its Application In A Dental Clinic., Carsten Ziegler
Electronic Theses and Dissertations
Interruptions during dental treatment are frequent, and often have detrimental effects on quality of care, patient safety and processing times, and have an impact on provider satisfaction and performance. Interruptions can significantly increase the cognitive load on dental providers, making it hard for them to concentrate on complex procedures. Frequent interruptions also disrupt the workflow in general, leading to delays in treatment, which can reduce the overall throughput of a clinic. Unfortunately, there is no comprehensive approach to collectively (i) analyze interruptions in dental healthcare, (ii) design an intervention, and (iii) implement and sustain it. This research proposes a comprehensive …
Context Dependent Training Data Selection For Automatic Target Detection., Tylman Michael
Context Dependent Training Data Selection For Automatic Target Detection., Tylman Michael
Electronic Theses and Dissertations
An Automatic Target Detection (ATD) algorithm is capable of identifying the location of targets of interest captured by Infra-Red imagery in vastly different contexts. ATD is often a precursor in a 2-stage methodology in order to ascertain the location and nature of a target in both military and civilian applications. In order to train an ATD algorithm, a large amount of data from varied sources is required. One drawback of this requirement is that some sources of data may harm the performance of the method in different contexts. This thesis explores utilizing an unsupervised method to identify a subset of …
Fly Ash Based Geopolymer: Water, Curing Temperature And, Cao Content Effects On Microstructure And Compressive Strength., Lujain Salem
Fly Ash Based Geopolymer: Water, Curing Temperature And, Cao Content Effects On Microstructure And Compressive Strength., Lujain Salem
Electronic Theses and Dissertations
Geopolymer, an emerging alternative to Portland cement-based concrete, relies on alumina and silica-rich precursors like fly ash for its formation. Geopolymerization is a chemical process that creates a three-dimensional polymer network by reacting with an alkaline activator. While fly ash's calcium oxide (CaO) content is crucial in its classification, it behaves differently in geopolymerization, where it competes with hydration. Therefore, a better understanding of the impact of CaO content in fly ash on geopolymerization is needed to effectively utilize fly ash. This study investigates the effects of CaO content, water, and curing temperature on geopolymerization. Using fly ash from a …
Electrokinetic Particle Trapping Performance Of Conductive Nanofiber Mats In Microfluidic Wells., Jacob Hunter West
Electrokinetic Particle Trapping Performance Of Conductive Nanofiber Mats In Microfluidic Wells., Jacob Hunter West
Electronic Theses and Dissertations
The frequency dependence of electrokinetic particle trapping using large-area (>mm2) conductive carbon nanofiber (CNF) mat electrodes is investigated. The fibers provide nanoscale geometric features for the generation of high electric field gradients, which is necessary for particle trapping via dielectrophoresis (DEP). A device was fabricated with an array of microfluidic wells for repeated experiments; each well included a CNF mat electrode opposing an aluminum electrode. Fluorescent microspheres (1 µm) were trapped at various electric field frequencies between 30 kHz – 1 MHz. Digital images of each well were analyzed to quantify particle trapping. DEP trapping by the …
Teacher Identity Matters: The Influence Of Identity On Student/Teacher Relationships And Special Education Student Performance., Nada Baili
Electronic Theses and Dissertations
For over a decade, Deep Neural Networks (DNNs) have been rapidly progressing and achieving great success, forming a robust foundation of state of the art machine learning algorithms that impacted various domains. The advances in data acquisition and processing have undeniably played a major role in these breakthroughs. Data is a crucial component in building successful DNNs, as it enables machine learning models to optimize complex architectures, necessary to perform certain difficult tasks. However, acquiring large-scale data sets is not enough to learn robust models with generalizable features. Instead, an ideal training set should be diverse enough and contain enough …
Smart Manufacturing Of Cement: From Lab-Scale Simulation And Testing To Industry-Scale Deployment., Juan David Tabares Tamayo
Smart Manufacturing Of Cement: From Lab-Scale Simulation And Testing To Industry-Scale Deployment., Juan David Tabares Tamayo
Electronic Theses and Dissertations
Cement kilns are controlled by experienced process operators who follow experience-based industry guidelines using data collected and fundamental knowledge. The manufacturing process, which is equipped with sensors and equipment, transfers data/information to the operators to aid standardized decision-making operations. In contrast, companies have used such data to develop and implement digital solutions for predictive control systems; in effect, FLSmidth and Rockwell Automation. However, despite the availability of automated control systems and investigation in automation for process monitoring and optimization, opportunities to radically optimize cement manufacturing are still abundant and in need of implementation. Therefore, this research developed simulation models and …
Development And Evaluation Of A Modeling Platform For Evaluating Immunotherapeutic Efficacy In The Tumor Microenvironment., Dylan Andrew Goodin
Development And Evaluation Of A Modeling Platform For Evaluating Immunotherapeutic Efficacy In The Tumor Microenvironment., Dylan Andrew Goodin
Electronic Theses and Dissertations
The tumor microenvironment (TME) represents the complex outcome of numerous tumor, stromal, and immune interactions, and whose composition can significantly affect treatment response. Particularly, immunotherapeutic efficacy is subject to multiple tumor-specific TME interactions that may be difficult to evaluate/predict clinically. Mathematical modelling has been formulated to evaluate specific aspects of the TME, including vasculature, ECM deposition, and immune-tumor interactions. However, the computational challenge of simulating multiple TME interactions has led to sacrificing varying degrees of model generalizability and clinical relevance. This work describes increased computational performance of a 3D continuum model that simulates tumor tissue, ECM, and vasculature using a …
Novel Designs Of Soft Tactile Sensor And Robot Finger Manipulator Based On Optical Fibers., Seokyoung Han
Novel Designs Of Soft Tactile Sensor And Robot Finger Manipulator Based On Optical Fibers., Seokyoung Han
Electronic Theses and Dissertations
Robotic manipulation is one of the main types of automated labor that humans want to achieve in order to free ourselves from mundane and hazardous tasks. The range of realizations could be very broad, from massive industrial robots to highly advanced medical devices for human healthcare. Given the critical nature of these application spaces, they require robust, safe, and most of all versatile designs. In that direction, one of the most interesting topics is the anthropomorphic robotic manipulator. Since it is inspired by human hands’ function and structure, it is able to achieve the aforementioned system requirements. However, the perfect …
Community College Engineering Degree Partnerships With 4-Year Universities, Jeffrey Mark Stear
Community College Engineering Degree Partnerships With 4-Year Universities, Jeffrey Mark Stear
Electronic Theses and Dissertations
Increasing the number of STEM professionals and reducing inequities in STEM are national priorities. Community colleges are important to address these concerns because they represent a higher percentage of underrepresented minority (URM) and women students. However, students starting 4-year STEM degrees in community college have had a lower completion rate. Partnerships between community colleges and 4-year universities have the potential to improve success for community college students, but more research is necessary. The purpose of this ex post facto, quantitative, correlational study was to determine the relationships among participation in different types of partnerships between community colleges and 4-year universities, …
The Interplay Of Spin, Charge, And Heat: From Metal/Insulator Heterostructures To Perovskite Bilayers, Sam M. Bleser
The Interplay Of Spin, Charge, And Heat: From Metal/Insulator Heterostructures To Perovskite Bilayers, Sam M. Bleser
Electronic Theses and Dissertations
In this dissertation begin with an investigation of non-local spin transport in an amorphous germanium (a-Ge) sample via the inverse spin Hall effect (ISHE). In that study we show that commonly used techniques such as differential conductance and delta mode of a paired Keithley 6221/2182a for non-local resistance measurements can lead to false indicators of spin transport. Next, we turn out attention to a thickness dependent study in thermally-evaporated chromium (Cr) thin films on a bulk polycrystalline yttrium-iron-garnet (YIG) substrate. This project analyzed the spin transport in the Cr films versus thickness via the longitudinal spin Seebeck effect (LSSE). This …
Quantum-Powered Battery Scheduling In Modern Distribution Grids, Diba Ehsani
Quantum-Powered Battery Scheduling In Modern Distribution Grids, Diba Ehsani
Electronic Theses and Dissertations
The rising need for exploiting a novel and evolved computation is an increasing concern in the power distribution system to address the exponential growth of distribution-connected devices. Scheduling numerous battery energy storage systems in an optimal way is one of the emerging challenges that will be more noticeable as the number of batteries, including residential, community, and vehicle batteries, increases in the grid. This thesis focuses on this topic and offers a necessary component in building the quantum-compatible distribution system of the future. Using a constrained quadratic model (CQM) on D-Wave’s hybrid solver as well as a binary quadratic model …
Data-Driven Approaches For Enhancing Power Grid Reliability, Behrouz Sohrabi
Data-Driven Approaches For Enhancing Power Grid Reliability, Behrouz Sohrabi
Electronic Theses and Dissertations
This thesis explores the transformative potential of data-driven approaches in addressing key operational and reliability issues in power systems. The first part of this thesis addresses a prevalent problem in power distribution networks: the accurate identification of load phases. This study develops a data-driven model leveraging consumption measurements from smart meters and corresponding substation data to reconstruct topology information in low-voltage distribution networks. The proposed model is extensively tested using a dataset with more than 5,000 real load profiles, demonstrating satisfactory performance for large-scale networks. The second part of the thesis pivots to a crucial safety concern: the risk and …
Finite Element Analysis Of Thermal-Mechanical Instabilities In Nonmetallic Friction Composite Material, Joseph-Shaahu Shaahu
Finite Element Analysis Of Thermal-Mechanical Instabilities In Nonmetallic Friction Composite Material, Joseph-Shaahu Shaahu
Electronic Theses and Dissertations
Thermal-mechanical instability (TMI) has been a research topic of interest as it focuses a lot on transportation systems. Thermal-mechanical instability was first noticed in railway and experimentally studied with a pin-to-pin or pin-to-surface setup of sliding contact. The topic has been extended into brakes and clutches which are two of the most common sliding systems most susceptible to thermal buckling and thermoelastic instability (TEI), where thermal buckling and thermoelastic instability are two sub-categories of thermal-mechanical instability. Thermal-mechanical instability is an ongoing research to better understand the phenomenon and the limits at which such instability occurs. This work delved into the …
Thermal, Electrical, And Spin Transport: Encompassing Low-Damping Ferromagnets And Antiferromagnetic/Ferromagnetic Heterostructures, Matthew Ryan Natale
Thermal, Electrical, And Spin Transport: Encompassing Low-Damping Ferromagnets And Antiferromagnetic/Ferromagnetic Heterostructures, Matthew Ryan Natale
Electronic Theses and Dissertations
Continuing technological advancements bring forth escalating challenges in global energy consumption and subsequent power dissipation, posing significant economic and environmental concerns. In response to these difficulties, the fields of thermoelectrics, spintronics, and spincaloritronics emerge as contemporary solutions, each presenting unique advantages. Thermoelectric devices, based on the Seebeck effect, other a passive, carbon-free energy generating solution from waste heat. Although current thermoelectric technology encounters hurdles in achieving optimal efficiencies without intricate designs or complex materials engineering, recently research into low-damping metallic ferromagnetic thin films have provided a new method to enhance spin wave lifetimes, thus contributing to thermoelectric voltage improvements. As …
Development Of A High-Level Discrete Event Simulation Model For The Harvesting Of White Button Mushrooms With Human-Robot Collaboration (Hrc), Ava Recchia
Electronic Theses and Dissertations
Canada is a leading global mushroom producer, with the white button mushroom (Agaricus bisporus) being the most popular type produced. Harvesting activities are labour-intensive, and farms are currently experiencing labour shortages, which are impacting productivity, growth, and overall revenue. Robotic technologies are valid mechanisms for mushroom harvesting and demonstrate a potential to reduce this gap. Examining the performance of a harvesting system with different robotics scenarios, such as manual, robotics automation, and human robot collaboration (HRC) is crucial to realizing this potential. Simulation models are useful tools for testing and assessing systems without making any physical change to the system. …
Dynamic Material Characterization Of Polymeric Foam By Means Of Experimental, Analytical, Phenomenological And Numerical Methods, Foad Rahimidehgolan
Dynamic Material Characterization Of Polymeric Foam By Means Of Experimental, Analytical, Phenomenological And Numerical Methods, Foad Rahimidehgolan
Electronic Theses and Dissertations
The main objective of this study was to advance the experimental, numerical, phenomenological and analytical methods of assessing the dynamic compressive response of polymeric foams, especially at an intermediate strain rate range of 50 s-1 to 600 s-1. Different experimental apparatuses and techniques, including the universal compression/tension testing machine (strain rates up to 0.5 s-1), custom-build droptower (a strain rate range of 50 s-1 to 200 s-1) and pneumatic testing apparatus (a strain rate range of 200 s-1 to 600 s-1) were utilized in the macro-mechanical characterization. The microstructure of the investigated polymeric foams was studied by means of Scanning …
Applying Functional Data Analysis To Estimate The Mental Workload Of The Human Driver, David Olorunfemi Eniyandunmo
Applying Functional Data Analysis To Estimate The Mental Workload Of The Human Driver, David Olorunfemi Eniyandunmo
Electronic Theses and Dissertations
Recent studies have focused on accurately estimating mental workload using machine learning algorithms and extracting features from psycho-physiological measures. However, feature extraction leads to the loss of valuable information and often results in binary classifications that lack specificity in the identification of optimum mental workload levels. This study investigates the feasibility of using raw psycho-physiological data (EEG, facial EMG, ECG, EDA, pupillometry) combined with Functional Data Analysis (FDA) to estimate mental workload of human drivers. A driving scenario with five tasks was employed, and subjective ratings were collected using the modified Bedford workload scale. Results demonstrate that the FDA applied …
Dc-Link Capacitor State-Of-Health (Soh) Monitoring And Lifetime Extension For Ev Applications, Cameron Pickersgill
Dc-Link Capacitor State-Of-Health (Soh) Monitoring And Lifetime Extension For Ev Applications, Cameron Pickersgill
Electronic Theses and Dissertations
Electric vehicles offer the benefit of eliminating tailpipe emissions, which emit greenhouse gases (GHG) into the atmosphere, lead to diminished air quality, and contribute to global warming. Therefore, plenty of research has gone into the development and improvement of EV technologies to create more effective and reliable vehicles in comparison to traditional internal combustion engine (ICE) vehicles. The electric traction drive, or powertrain, is the fundamental system responsible for controlling the output response of the electric motor within an EV. High efficiency and reliability are extremely desirable traits for the electric drive to extend the range of the EV to …
A Mems Planar Fresnel Lens For Cmut Array, Shivani Nilesh Upadhyay
A Mems Planar Fresnel Lens For Cmut Array, Shivani Nilesh Upadhyay
Electronic Theses and Dissertations
This thesis presents a Microelectromechanical Systems (MEMS) planar Fresnel lens for use with a Capacitive Micromachined Ultrasonic Transducer (CMUT) array for high-resolution cardiac diagnostic imaging applications. The research exploited the excellent sound propagation and thermal properties of cross-linked silica aerogel, a nano-porous, nano-networked ultra-light-weight material, to design a planar thinfilm lens that can be easily microfabricated or integrated with a CMUT array. The designed lens, comprised of 32 various width concentric rings, was optimized to operate with a 256 element 6 MHz CMUT array. The 4 µm thick lens was designed to generate a 1.9 mm focal spot at a …
Novel Approaches To Fast Ocv Characterization And Improved Capacity Estimation In Lithium Ion Batteries, James Vu Nguyen
Novel Approaches To Fast Ocv Characterization And Improved Capacity Estimation In Lithium Ion Batteries, James Vu Nguyen
Electronic Theses and Dissertations
This thesis considers the problem of open circuit voltage (OCV) to state of charge (SOC) characterization in li-ion batteries for battery reuse applications. The traditional approach to OCV-SOC characterization is done by collecting voltage and current data through a slow discharge and charge process; this process usually takes about 60 hours. Such OCV-SOC characterization is performed on a few sample batteries because the OCV-SOC characterization is considered to be the same for new batteries coming out of the same manufacturing process. However, the characteristics of a battery may change as it is used for years in different environmental and usage …
Triple Current Control Of Transformer-Less Distributed Generators For Optimal Protection Coordination And Power Oscillation Elimination, Johnny Msawbah
Triple Current Control Of Transformer-Less Distributed Generators For Optimal Protection Coordination And Power Oscillation Elimination, Johnny Msawbah
Electronic Theses and Dissertations
Inverter-interfaced distributed generators (IIDGs) face issues related to disruptive power oscillations and overcurrent during unbalanced faults. This thesis focuses on a specific type of IIDGs known as the four-wire IIDG, often referred to as a transformer-less (TL)-IIDG. The TL-IIDG stands out as it possesses the unique capability to completely eliminate power oscillations in both active and reactive power. This is made possible by the addition of a fourth wire, which enhances control capabilities. To address these challenges, a triple current control (TCC) strategy is devised. It leverages sequence currents within a synchronous frame of reference, allowing the creation of a …
Ultrasonic Phased Array Imaging And Data Post Processing With Applications To Resistance Spot Welding, Milos Draskovic
Ultrasonic Phased Array Imaging And Data Post Processing With Applications To Resistance Spot Welding, Milos Draskovic
Electronic Theses and Dissertations
Resistance spot welding is a widely used metal joining method in the automotive industry due to its low cost, ease of automation and high throughput. Resistance spot welding is a process that joins two or more metal sheets through the application of force and high current in a localized region, or spot. With the average car containing thousands of such spot welds, some of which compose structural and safety components, the evaluation of the quality metrics related to this process is of key interest to the automotive sector. With this in mind, the evaluation of spot weld parameters including, size, …
Structural Construction And Surface Modification Of Copper Current Collectors For Lithium Metal Batteries, Yaohua Liang
Structural Construction And Surface Modification Of Copper Current Collectors For Lithium Metal Batteries, Yaohua Liang
Electronic Theses and Dissertations
Graphene, a prevalent anode material in commercial lithium-ion batteries, has reached its theoretical capacity limit. The imperative is to develop high-capacity anode materials to meet the growing demand for energy density. Lithium metal, renowned for its exceptionally high theoretical specific capacity density (3680 mAh g-1) and low reduction potential (-3.04 V, relative to the standard hydrogen electrode), is commonly dubbed the "Holy Grail" for negative electrode materials in high-energy-density batteries. However, practical advancements in lithium metal anodes face obstacles like low Coulombic efficiency, limited cycle life, and heightened reactivity to the electrolyte and internal short circuits resulting from lithium dendrite …
Carbon Dioxide Gasification Of Biochar: A Study On Utilizing Captured Co2 To Mitigate Greenhouse Gas Emission And Improving Carbon Conversion Efficiency, Nnamdi Ofuani
Electronic Theses and Dissertations
With rapidly growing global economies and world population, fossil fuel continues to play a major role in meeting current energy demands. Carbon capture and storage (CCS) technologies have, hence, been implemented to reduce CO2 emissions in the atmosphere. With the implementation of CCS technologies comes the need to utilize the captured CO2. This research, therefore, proposes CO2 gasification of biochar as a viable carbon utilization pathway. With captured CO2 coming at various concentrations, there is a need to understand how CO2 concentration affects biochar conversion to useful products. This study, therefore, evaluates the effects …
Cross-Layer Performance Evaluation Of C-V2x, Dhruba Sunuwar
Cross-Layer Performance Evaluation Of C-V2x, Dhruba Sunuwar
Electronic Theses and Dissertations
The evolution of connected vehicles from a distant futuristic concept to an integral part of daily life is indisputable. Vehicle-to-everything communication (V2X) serves as the cornerstone of this transformation, facilitating seamless interaction among vehicles, infrastructure, pedestrians, and networks. However, evaluating V2X system performance proves intricate due to the dynamic nature of vehicles influenced by mobility factors. To address this complexity, we have developed a specialized system-level simulator expressly for evaluating V2X communication performance. Notably, the simulator encompasses (i) intelligent transportation system (ITS) scenarios integrated into a geographical framework and (ii) the capability to assess cross-layer performance spanning physical (PHY) and …
Feasibility Of Pile Driving Analyzer For Pile On Rock, Tanvir Ahmed
Feasibility Of Pile Driving Analyzer For Pile On Rock, Tanvir Ahmed
Electronic Theses and Dissertations
The purpose of the field verification of piles is to check whether piles can withstand design load. Two commonly used methods are high strain dynamic piles and static load testing. Static load testing is very time-consuming, requires heavy deadloads and much space, and doesn’t have stress monitoring advantages in piles. High strain dynamic has been employed as an alternative in this regard. Pile dynamic analyzer (PDA) is a device which is used during dynamic testing to analyze the measurements from the test. PDA calculates the geotechnical or structural resistance by using wave mechanics algorithm installed in it. Total driving resistance …
Assessing Performance Optimization Strategies In Cloud-Native Environments Through Containerization And Orchestration Analysis, Daniel E. Ukene
Assessing Performance Optimization Strategies In Cloud-Native Environments Through Containerization And Orchestration Analysis, Daniel E. Ukene
Electronic Theses and Dissertations
This thesis comprises three distinct, yet interconnected studies addressing critical aspects of web infrastructure management. We begin by studying containerization via Docker and its impact on web server performance, focusing on Apache and Nginx hosted on virtualized environments. Through meticulous load testing and analysis, we provide insights into the comparative performance of these servers, adding users of this technology know which webservers to leverage when hosting their webservice along alongside the infrastructure to host it on. Next, we expand our focus to examine the performance of caching systems, namely Redis and Memcached, across traditional VMs and Docker containers. By comparing …
Applications Of Predictive And Generative Ai Algorithms: Regression Modeling, Customized Large Language Models, And Text-To-Image Generative Diffusion Models, Suhaima Jamal
Electronic Theses and Dissertations
The integration of Machine Learning (ML) and Artificial Intelligence (AI) algorithms has radically changed predictive modeling and classification tasks, enhancing a multitude of domains with unprecedented analytical capabilities. Predictive modeling leverages ML and AI to forecast future trends or behaviors based on historical data, while classification tasks categorize data into distinct classes, from email filtering to medical diagnosis. Concurrently, text-to-image generation has emerged as a transformative potential, allowing visual content creation directly from textual descriptions. These advancements are pivotal in design, art, entertainment, and visual communication, as well as enhancing creativity and productivity. This work explores three significant studies in …