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2024

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The Rise Of Artificial Intelligence In Pharmacy: Transforming Medication Management And Patient Care, Gracia Anastasya, Miski A. Khairinisa Dec 2024

The Rise Of Artificial Intelligence In Pharmacy: Transforming Medication Management And Patient Care, Gracia Anastasya, Miski A. Khairinisa

Pharmacology and Clinical Pharmacy Research

Artificial intelligence (AI) is rapidly transforming healthcare, with significant implications for pharmacy practice. This review explores the diverse applications of AI in pharmacy, emphasizing its potential to revolutionize medication management, patient care, public health, disease management, and pharmacy workflow efficiency. AI algorithms can analyze a vast amount of patient data, allowing pharmacists to identify potential drug interactions, evaluate medication safety and effectiveness, and offer personalized treatment suggestions. In the realm of public health, AI supports disease management through epidemiological monitoring and targeted interventions. Additionally, AI-driven robotic dispensing systems and automated inventory management enhance pharmacy workflow efficiency by streamlining operations and …


Fictional And Historical Narratives Of African American Soldiers Of Wwii, Abigail Rae Stewart Dec 2024

Fictional And Historical Narratives Of African American Soldiers Of Wwii, Abigail Rae Stewart

Honors Theses

This thesis examines the experiences of African American soldiers during World War II through the dual lenses of oral histories and fictionalized accounts, arguing that both are essential to fully understanding their multifaceted journeys at home and abroad. Oral histories provide direct, personal narratives from veterans themselves, capturing their voices, emotions, and reflections on the discrimination, camaraderie, and resilience that defined their wartime and postwar lives. These firsthand accounts offer invaluable insights into the structural realities of systemic racism within the military and society, as well as the personal sacrifices these soldiers made in the name of a country that …


The Implementation Of Artificial Intelligence In University Classrooms: Perspective And Applications, Erika Grodzki, Gary Carlin, Stefanie Powers, Hung Chum Kao Dec 2024

The Implementation Of Artificial Intelligence In University Classrooms: Perspective And Applications, Erika Grodzki, Gary Carlin, Stefanie Powers, Hung Chum Kao

Faculty and Staff Publications & Presentations

This study examined the integration of Artificial Intelligence (AI) in university classrooms, focusing on its benefits, challenges, and the diverse perspectives of academic faculty. While AI was widely embraced in disciplines like animation and design for enhancing creativity and efficiency, traditional fields remained cautious due to concerns about academic integrity and its impact on critical thinking. By analyzing literature and case studies, the presentation highlighted AI’s transformative potential in higher education, fostering dialogue on its strategic adoption to balance innovation with ethical and pedagogical considerations.


The Role Of Digital Transformation In Human Resources Flexibility: An Analytical Study At The Ministry Of Communications - General Company For Telecommunications And Information Technology, Ibtihal Ghaleb Ghulam, Ali Hassoun Al-Taie Dec 2024

The Role Of Digital Transformation In Human Resources Flexibility: An Analytical Study At The Ministry Of Communications - General Company For Telecommunications And Information Technology, Ibtihal Ghaleb Ghulam, Ali Hassoun Al-Taie

Journal of Economics and Administrative Sciences

Purpose: The current research seeks to embody its primary objectives in diagnosing the relationship between the research variables (digital transformation, human resources flexibility), as well as defining the role of each of them in the General Company for Communications and Informatics. Theoretical Framework: This study deals with the General Company for Communications and Informatics and presents the latest concepts that previous researchers have reached to contribute to its achievement and expand the company's awareness by adopting any of these models appropriate to its goals and future direction. Design/Methodology/Approach: The study analyzes administrative data within the Ministry (2023-2024), using the dimensions …


An Overview Of Japanese Kampo: An Integrative Approach To Medicine, Olivia Yaste Dec 2024

An Overview Of Japanese Kampo: An Integrative Approach To Medicine, Olivia Yaste

Honors College Theses

There is a growing interest in the use of traditional medicine for the treatment of disease and health conditions around the world. The traditional medicine system of Japan has been in place for thousands of years and the traditional herbal system, Kampo, has been fully integrated into the modern national healthcare system. The compilation of information on topics surrounding Kampo written in English is scattered, making it difficult to gain a broad understanding of the subject without immense time and effort. This paper aims to review the existing literature on a variety of topics surrounding Kampo in order to give …


Board Of Trustees Minutes, Dec. 13 2024, Indiana State University Board Of Trustees Dec 2024

Board Of Trustees Minutes, Dec. 13 2024, Indiana State University Board Of Trustees

Board of Trustees

No abstract provided.


Board Of Trustees Agenda, Dec. 13 2024, Indiana State University Board Of Trustees Dec 2024

Board Of Trustees Agenda, Dec. 13 2024, Indiana State University Board Of Trustees

Board of Trustees

No abstract provided.


Revisiting The Impact Of Container Port Service Quality On Customer Satisfaction: A Configuration Approach, Saeyeon Roh, Haddoud M Yacine, Adah-Kole Onjewu, Hyunmi Jang, Vinh V. Thai Dec 2024

Revisiting The Impact Of Container Port Service Quality On Customer Satisfaction: A Configuration Approach, Saeyeon Roh, Haddoud M Yacine, Adah-Kole Onjewu, Hyunmi Jang, Vinh V. Thai

Plymouth Business School

In global port competitions, container port service quality (CPSQ) plays a critical role in determining user satisfaction and port competitiveness. Despite numerous empirical research efforts on the relationship between CPSQ and customer satisfaction, few studies have analysed the configurational effects of CPSQ on customer satisfaction. To address a gap in research, this study examines the factors that influence customer satisfaction among port users, including cargo owners and logistics service providers. The focus is on container ports in non-transshipment ports in South Korea, as well as a transshipment port in Singapore, which are representative of major global maritime countries. In this …


A Comprehensive Performance Evaluation Of Proprietary And Open-Source Language Models In Closed And Open-Domain Tasks, Abhilash Kanduri Dec 2024

A Comprehensive Performance Evaluation Of Proprietary And Open-Source Language Models In Closed And Open-Domain Tasks, Abhilash Kanduri

Theses and Dissertations

As the field of Natural Language Processing (NLP) continues to evolve, evaluating the performance of both proprietary and open-source language models has become increasingly critical. This research provides a comprehensive analysis of proprietary models like GPT-3.5 Turbo, GPT-4, and GPT-4 Turbo, alongside open-source models such as FLAN-T5, GPT-Neo, and GPT-2. By leveraging traditional metrics like ROUGE and BLEU, as well as custom metrics including ReGrAde, Contextual Precision, and Faithfulness, the study evaluates these models across closed-domain tasks (e.g., factual question-answering) and open-domain tasks (e.g., creative writing and brainstorming). The proprietary models excelled in structured, fact-based tasks, while the open-source models …


Multi-Temporal Uav Remote Sensing Combined With Machine Learning For Estimating Cotton Yield, Amrit Shrestha Dec 2024

Multi-Temporal Uav Remote Sensing Combined With Machine Learning For Estimating Cotton Yield, Amrit Shrestha

Theses and Dissertations

Accurate crop yield estimation early in season can help in identifying specific areas within a field that may require different management practices, thus enhancing overall efficiency and productivity. However, early estimation has been a challenging task mainly due to integrated complex association between genetic × environment × management factors. Over the decades, machine learning techniques, especially artificial neural network, has been widely adopted in conjunction with uncrewed aerial system (UAS) for high-throughput plant phenotyping and crop yield estimation. This study introduces the plus neural network (pNN) to incorporate temporal dynamics across different crop growth stages. Cotton field data from 2020-2023 …


Synergistic Adsorption Of Pb (Ii) From Aqueous Solution Using Calcined Biochar-Bentonite Clay Hybrid, Azeezat Faderera Abdul-Raheem Dec 2024

Synergistic Adsorption Of Pb (Ii) From Aqueous Solution Using Calcined Biochar-Bentonite Clay Hybrid, Azeezat Faderera Abdul-Raheem

Theses and Dissertations

The biochar-bentonite clay hybrid was prepared by coprecipitation with the goal of producing a material that can remove Pb (II) from aqueous solutions effectively. Incorporating bentonite clay onto the Douglas fir biochar (DFB-BTC) surface significantly improved the adsorption capacity by introducing more active sites, strengthening the structural properties, and promoting strong adsorbate interactions. The point of zero charge of the adsorbent was slightly higher than that of the pristine DFBC. All sorption experiments were performed at pH 5, and the system obeyed the Langmuir adsorption isotherm. The highest Langmuir adsorption capacities observed at 298, 308, and 318 K were 48, …


Crystal Plasticity Modeling To Capture Microstructural Variations In Cold-Sprayed Materials, Aulora Gail Williams Dec 2024

Crystal Plasticity Modeling To Capture Microstructural Variations In Cold-Sprayed Materials, Aulora Gail Williams

Theses and Dissertations

The high-velocity impact of powder particles in cold-spray additively manufactured (CSAM) parts creates intersplat boundaries with regions of high dislocation densities and sub-grain structures. Upon microstructure and mechanical characterization, CSAM Aluminum 6061 showed non-uniformity, with spatial variation in the microstructure and mechanical properties affecting the overall response of the additively manufactured parts. Post-processing treatments are conducted in as-printed samples to improve particle bonding, relieve residual stresses, and improve mechanical properties. In this work, we attempt to implement the effects of grain size and distribution of smaller grains along the intersplat boundaries using the grain size distribution function and powder size …


Enhanced Intellectual Property Protection Mechanisms Towards Collaborative Data Sharing In Metal-Based Additive Manufacturing, Durant Hayes Fullington Dec 2024

Enhanced Intellectual Property Protection Mechanisms Towards Collaborative Data Sharing In Metal-Based Additive Manufacturing, Durant Hayes Fullington

Theses and Dissertations

This dissertation aims to develop effective methodologies towards enhanced intellectual property protections for data sharing frameworks in metal-based additive manufacturing (AM). Currently, many small-to-medium sized manufacturers face data availability challenges due to the prohibitive high cost to collect, process, and analyze large amounts of process-related data for AM. Because these manufactures rely heavily on small-scale data, it can be difficult for them to effectively train complex machine learning (ML) algorithms, which are commonly used for AM process monitoring. One popular solution is to develop collaborative data sharing frameworks, where multiple independent AM users can share their data to increase the …


Evaluating The Emergent Wetland Plant Juncus Effusus As A Tool In Phytoremediation Of Nitrogen And Copper, Jacob Aaron Hockensmith Dec 2024

Evaluating The Emergent Wetland Plant Juncus Effusus As A Tool In Phytoremediation Of Nitrogen And Copper, Jacob Aaron Hockensmith

Theses and Dissertations

Eutrophication is an increasing issue around the globe, including the Lower Mississippi Alluvial Valley where excess nitrogen runs into the Mississippi River and subsequently the Gulf of Mexico. The restoration of wetlands is one method that has been developed to help reduce nitrogen runoff, however, species selection should be done carefully as species selected must not only remove nitrogen but be able to compete with established species. Chapter II of this thesis investigates whether J. effusus is a viable candidate for use in this role. Additionally, copper contamination around the globe is increasing due to a variety of anthropogenic sources. …


Assessing Plate Load Testing And Modulus Of Subgrade Reaction Determination For Pavements, Jami Lynn Rushing Dec 2024

Assessing Plate Load Testing And Modulus Of Subgrade Reaction Determination For Pavements, Jami Lynn Rushing

Theses and Dissertations

This thesis aims to: 1) determine the effect of plate size on the modulus of subgrade reaction (k), 2) investigate the differences between the ASTM D1196-21 and CRD-C 655-95 plate load test methods, and 3) develop new effective k curves. 150 plate load tests were executed on three subgrade materials under varying base course thicknesses. Plate load testing was designed to evaluate various plate sizes and testing standards (e.g., the military standard – CRD-C 655-96 and the ASTM standard – ASTM D1196-21). By performing plate load tests on varying base course thicknesses, newly developed effective k curves were developed from …


The Plastics Crisis: Responsible Recycling In Civil Engineering And Infrastructure, Jason Howell Stewart Dec 2024

The Plastics Crisis: Responsible Recycling In Civil Engineering And Infrastructure, Jason Howell Stewart

Theses and Dissertations

A global plastics crisis exists with around 400 million metric tons (MMT) of plastics production and 350 MMT of plastics waste generated annually around the globe. Plastics are durable and essentially non-biodegradable, so they accumulate in both terrestrial and marine environments as pollution and within landfills without breaking down over time. Plastics are ubiquitous in 21st-century society and culture, comprising essential elements in most industries including packaging, transportation, electrical/electronics, and building/construction. The role of civil engineering and infrastructure in addressing the plastics crisis was specifically explored. Responsible plastics recycling yields products with improved engineering properties, performance characteristics, marketability, and/or manufacturing …


Plastic Contaminants Detection And Classification In Seed Cotton Using Customed Design Feeder Separator Unit And Convolutional Neural Network, Jonathan Harjono Dec 2024

Plastic Contaminants Detection And Classification In Seed Cotton Using Customed Design Feeder Separator Unit And Convolutional Neural Network, Jonathan Harjono

Theses and Dissertations

The thesis presents an application of a convolutional neural network (CNN) to detect and classify plastic contaminants in seed cotton in real-time, in a ginning environment. A multi-layered CNN was developed and used to detect plastic contaminants from images captured by a universal serial bus (USB) camera, in a flowing cotton stream, with an artificial lighting system. The CNN was trained using a collection of images captured in the dynamic setting that simulated real-time cotton flow using a custom design feeder system. The CNN was trained in Google Colaboratory (Colab) environment. After the training was completed, it was then converted …


Bridging Scales Integrating Satellite Derived With Airborne And Uas-Collected Bathymetry For Coastal And Inland Water Management, Md Salman Bashit Dec 2024

Bridging Scales Integrating Satellite Derived With Airborne And Uas-Collected Bathymetry For Coastal And Inland Water Management, Md Salman Bashit

Theses and Dissertations

This study makes important scientific contributions by improving remote sensing methods for collecting bathymetric data. It demonstrates an improved and novel approach to utilizing Sentinel-2 reflectance data to extract satellite-derived bathymetry (SDB), validated against data from airborne LiDAR bathymetry (ALB). The study looks at how well SDB works in several coastal areas of the United States. It uses the Normalized Difference Turbidity Index (NDTI) and Total Suspended Solids (TSS) to see how water quality affects the accuracy of SDB. The study also analyzes how unoccupied aerial systems (UAS) can be combined with echo sounder systems to derive bathymetric maps with …


Effects Of Turbulence On Scramjet Engines Combustion, Mohamed En-Nali Dec 2024

Effects Of Turbulence On Scramjet Engines Combustion, Mohamed En-Nali

Theses and Dissertations

In the present work, we aim to investigate the predictive capabilities of low and high-fidelity turbulence models and understand how they perform in complex conditions in a scramjet engine. In this study, we use the DLR experiments to present a comparative performance assessment of low to high fidelity turbulence models. The DLR case is interesting since it exhibits turbulence due to wall effects as well as due to shear layer. Results show relatively good agreement when compared against the validation data set from the experiment. DHRL was able to resolve more turbulence structures compared to all other models. HRL showed …


Impact Of Cascading Optical Processes On Spectroscopic Quantification Of Absorption And Scattering Properties Of Samples, Pathum Dilshan De Silva Wathudura Dec 2024

Impact Of Cascading Optical Processes On Spectroscopic Quantification Of Absorption And Scattering Properties Of Samples, Pathum Dilshan De Silva Wathudura

Theses and Dissertations

Light absorption and scattering are fundamental properties of matter, particularly significant in nanoscale materials. This study explores how cascading optical processes affect the experimental measurement of absorption and scattering intensities, along with scattering depolarization, in samples containing absorbers and scatterers. The experimental UV–vis spectrum results from the combination of absorption and scattering extinction spectra. However, the maximum measurable extinction may be limited by forward scattered light. Light absorption decreases the intensity of scattered light and influences scattering depolarization. While scattering can reduce absorption along the optical path to the detector, sufficient absorption of the scattered light may counterbalance this effect, …


Comparative Analysis Of Conventional And Non-Conventional Current Transformers: Advancements, Applications, And Implications For Modern Power Systems, Phalguni Morla Dec 2024

Comparative Analysis Of Conventional And Non-Conventional Current Transformers: Advancements, Applications, And Implications For Modern Power Systems, Phalguni Morla

Theses and Dissertations

This thesis, titled "Comparative Analysis of Conventional and Non-Conventional Current Transformers: Advancements, Applications, and Implications for Modern Power Systems," examines the performance and challenges of conventional and non-conventional current transformers (CTs). Conventional CTs, while reliable in traditional power systems, face issues like core saturation, mechanical stress, and environmental limitations, making them less suited for modern, dynamic systems. Non-conventional CTs, such as optical and Rogowski coil-based transformers, offer higher accuracy and better adaptability, especially in digital applications like smart grids. Through experiments, the study compares the thermal performance, accuracy, and load-handling abilities of both CT types. Results show that while conventional …


Analysis Of Cortical Evoked Auditory Response Detection In Adults Using Machine Learning, Pranavi Beerelli Dec 2024

Analysis Of Cortical Evoked Auditory Response Detection In Adults Using Machine Learning, Pranavi Beerelli

Theses and Dissertations

This study focuses on the use of machine learning (ML) techniques to automate the detection of Cortical Evoked Auditory Responses (CEARs), which are key in understanding how the auditory cortex processes sound stimuli. Traditionally, analyzing these auditory responses has relied on manual interpretation by audiologists, a process that can introduce variability and human error, particularly in complex cases. To address this challenge, the research utilizes advanced deep learning models, including Convolutional Neural Networks (CNNs), Long Short Term Memory (LSTM) networks, and Bidirectional LSTM (BiLSTM) architectures, to analyze Electroencephalography (EEG) data and classify the presence or absence of auditory responses automatically. …


Evaluation Of The Physical And Mechanical Properties Of Hardwoods And Softwood Cross Laminated Timber, Richard Olakunle Omotayo Dec 2024

Evaluation Of The Physical And Mechanical Properties Of Hardwoods And Softwood Cross Laminated Timber, Richard Olakunle Omotayo

Theses and Dissertations

This thesis is focused on the evaluation of cross laminated timber made from southern pine lumber and low-grade hardwood species (which included red oak, sweetgum, and yellow poplar) growing in the southeastern part of the United States. The properties of interest were density, modulus of elasticity (MOE), modulus of rupture (MOR) and dynamic modulus of elasticity (dMOE). Mechanical testing using static bending technique was used to determine MOE and MOR and non-destructive technique (NDT) was used to predict dMOE. The results from mechanical testing showed that over 98% of low-grade hardwood CLT samples exceeded 8300 MPa. This proved the suitability …


Innovative Methyl Bromide Alternatives: Efficacy Of Acetic Acid Coated Ham Nets And Carboxymethyl Cellulose Films In Inhibiting Mite Infestations On Dry-Cured Ham, Sawyer Wyatt Smith Dec 2024

Innovative Methyl Bromide Alternatives: Efficacy Of Acetic Acid Coated Ham Nets And Carboxymethyl Cellulose Films In Inhibiting Mite Infestations On Dry-Cured Ham, Sawyer Wyatt Smith

Theses and Dissertations

Dry-cured hams may become infested with Tyrophagus putrescentiae (ham mites) during the aging process. Traditionally, methyl bromide (MB) fumigation has been used to control these infestations, but its phase-out due to environmental concerns has prompted the need for alternative methods. This study evaluated the effectiveness of acetic acid-coated ham nets and carboxymethyl cellulose (CMC)-based edible films with propylene glycol (PG) in mitigating mite infestations. Laboratory trials assessed the impact of these treatments on mite orientation, reproduction, infestation rates, and sensory quality. Results indicate that CMC films were effective at controlling mite growth and reproduction with minimal sensory impact. In contrast, …


On Topological Measures And Network Vulnerability Patterns: A Review And Comparative Analysis, Saviz Saei Dec 2024

On Topological Measures And Network Vulnerability Patterns: A Review And Comparative Analysis, Saviz Saei

Theses and Dissertations

Despite much hope for climate change to slow down or even reverse, younger generations face a future overshadowed by extreme events. The indisputable reality is that unless the United Nations establishes comprehensive and sustained climate justice policies, children today will experience five times more extreme events than those that took place a century ago. On Monday, July 3rd of 2023, an unprecedented peak in global temperatures was documented, marking the highest global temperature ever recorded, as the U.S. National Centers for Environmental Prediction reported. These increasing temperatures indicate the ongoing and intensifying phenomenon of climate change, which amplifies the frequency …


Development Of Robotic Sampling Method For Rees In Gps-Denied And Hazardous Environments, Alan Arthur Dec 2024

Development Of Robotic Sampling Method For Rees In Gps-Denied And Hazardous Environments, Alan Arthur

Graduate Theses & Non-Theses

In recent times, the demand for rare earth elements (REEs) has been fueled by industry shifts towards energy efficiency and climate neutrality, as well as the great potential for the use of REEs in all sectors of our daily lives. Currently, China accounts for over 75% of global REE production (Dal, 2024). Various REE producers are gearing up to produce significant amounts of REEs to solve the issue of global supply and break China’s monopoly. A spike in REE prices of nearly tenfold in 2011 provided the impetus for accelerating over 400 REE exploration projects around the world (Barakos, 2017). …


Critical Mineral Recovery From Metals-Laden Mine Water, Matthew Ingersoll Dec 2024

Critical Mineral Recovery From Metals-Laden Mine Water, Matthew Ingersoll

Graduate Theses & Non-Theses

The importance of critical mineral possession has increasingly risen as the transition to clean energy becomes more viable. Critical minerals play many roles in national security, energy independence, environmental well-being, and economic growth. Given that many companies and certain countries have goals to halve greenhouse gas emissions by 2030, and reaching zero emissions by 2050, critical minerals have become a paramount resource and a focus in many research fields. Acid mine drainage and other mine wastewaters have been found to be viable sources of critical minerals with potential for recovery. This critical mineral recovery research focuses on zinc and manganese …


Experimental And Numerical Investigation Of Phase Change Material Melting Cycle In Microgravity, Ethan Michael Schuetzle Dec 2024

Experimental And Numerical Investigation Of Phase Change Material Melting Cycle In Microgravity, Ethan Michael Schuetzle

Theses and Dissertations

Efficient thermal management of spacecraft systems is crucial to overcome the extreme thermal conditions in space. Phase change materials (PCMs) offer significant advantages in thermal energy storage (TES) systems due to their high latent heat of fusion, the amount of energy stored or released during phase transitions. However, PCMs face limitations due to low thermal conductivity, especially in microgravity where heat transfer is primarily through conduction. This research addresses this issue by incorporating a 3D-printed aluminum lattice structure to enhance heat transfer to PCMs. Experimental data from sub-orbital flight tests and ground-based experiments, coupled with numerical simulations, are used to …


Projecting Land Cover Changes And Impacts On Bird Conservation Using Geographic Information System, Remote Sensing And A Cellular Automata – Artificial Neural Network Model In Nairobi National Park, Kenya., Frank Juma Ong'ondo Dec 2024

Projecting Land Cover Changes And Impacts On Bird Conservation Using Geographic Information System, Remote Sensing And A Cellular Automata – Artificial Neural Network Model In Nairobi National Park, Kenya., Frank Juma Ong'ondo

Theses and Dissertations

This study examines land cover changes and their projected future impacts on bird species conservation in and around Nairobi National Park, Kenya. 2016 and 2023 Satellite imagery, analyzed through Google Earth Engine and the MOLUSCE plugin were used to assess changes in five land cover types: grassland, shrubland, forest, urban, and water. Bird population data from the Kenya Bird Map were used to evaluate birds' responses to land cover changes. Birds were categorized into five habitat guilds—grassland-dependent, shrubland-dependent, forest-dependent, water-dependent, and urban-dependent bird species. Between 2016 and 2023, grassland and shrubland decreased by 14.21% and 5.54%, respectively, and urban increased …


Factors Influencing Quality Of Citizen Science-Collected Litter Data And The Retention Of Recruited Citizen Scientists, Jessi Alexandria James-Barry Dec 2024

Factors Influencing Quality Of Citizen Science-Collected Litter Data And The Retention Of Recruited Citizen Scientists, Jessi Alexandria James-Barry

Theses and Dissertations

There are many benefits to using citizen science in scientific research, however, there are several perceived limitations. One being that citizen science data are often viewed as inferior or unusable by the broader science community. A primary concern to the usability and accuracy of this data depends on the level of training a participant receives. Another limitation is the recruitment and retention of volunteers participating in the data collection process. To further understand how training level affects the accuracy of citizen science and how demographics may influence participation, this study evaluated 73 volunteers trained in two different marine debris data …