Digital Commons Network^™

1st Person Ev With Electronic Differential, Tessa Biondo

Honors Theses

The First Person EV with Electronic Differential for Vehicle Dynamics Analysis project makes a significant leap forward in the exploration of electric vehicle (EV) stability and performance enhancement. Lead by a team of skilled electrical engineering students under the guidance of WMU’s associate Professor Dr. Sandun Kuruppu, this project aims to improve EV stability by optimizing power and torque distribution between wheels using an electronic differential system. The project encompasses the design and assembly of a 1/7^th scale custom electric vehicle, capable of remote control via a first-person view (FPV) camera and modified USB wheel and pedal assembly. The …

Production Of Mrna Vaccine For Influenza, Christina Miller

Honors Theses

The objective of this project is to design a process to produce an mRNA influenza vaccine that serves as an alternative to conventional influenza vaccines, replacing current options with innovative mRNA technologies. Given that older populations are most likely to follow up on immunizations consistently, and the increasing average age worldwide, the market for this project appears to be expanding in the next 80 years. Additionally, experts predict more frequent mutations and outbreaks of viral disease from a variety of factors including globalization and global temperature trends. Rapid response to these viral outbreaks will continue to be as, or even …

Chatting With Online Agent, Guoxi Robert Zhang

Honors Theses

This study investigates trust in AI-generated language fluency. Participants engaged with both human and AI-generated content, varying in fluency. Findings were to favor trust in fluent human and AI interactions over disfluent ones. Understanding fluency's impact can inform AI design and encourage critical thinking when dealing with AI-generated content. By using qualitative analysis of think-aloud reports, we examined strategies that people use to assess texts labeled as human-generated and AI-generated content.

Development Of Novel Analytical Methods For The Investigation Of Mammalian Tissues And Cells, Grace A. Binder

USF Tampa Graduate Theses and Dissertations

This dissertation endeavors to advance the frontiers of analytical chemistry by addressing critical challenges across three distinct chapters. In the first chapter, the focus is on the evaluation of digestion methods for the analysis of trace metals in mammalian tissues and the Standard Reference Material NIST 1577c. The primary goal is to optimize methodologies, laying the groundwork for reliable trace metal analysis and furthering our understanding of their roles in biological systems.

Transitioning into the realm of immunomodulation, the second chapter elucidates immune response, disease and treatment through the optimization and discovery of STING modulators, utilizing the luciferase assay for …

Detection Of Endocrine-Disrupting Chemicals In Personal Care Products Using A Polyhedral Oligomeric Silsesquioxane-Based Hybrid Material, Aarthi K

Theses and Dissertations

Personal care products (cosmetics) are a diverse group of goods, that includes all the essential routines including the personal hygiene products used in our day-to-day life. It contains a variety of ingredients in its formulation, including preservatives, flavor, UV filters, and other additives. Few of the chemicals utilized are found to impair human health and have serious environmental impacts. The major chemicals include parabens, triclosan, oxybenzone, phthalates, heavy metals, fragrances, etc, Though the Scientific Committee on Consumer Safety (SCCS) has set the usage limits for the chemicals used, exposure to these chemicals from multiple products may exceed the exposure limit. …

The Role Of Attention Mechanisms In Enhancing Transparency And Interpretability Of Neural Network Models In Explainable Ai, Bhargav Kotipalli

Harrisburg University Dissertations and Theses

In the rapidly evolving field of artificial intelligence (AI), deep learning models' interpretability

and reliability are severely hindered by their complexity and opacity. Enhancing the

transparency and interpretability of AI systems for humans is the primary objective of the

emerging field of explainable AI (XAI). The attention mechanisms at the heart of XAI's work

are based on human cognitive processes. Neural networks can now dynamically focus on

relevant parts of the input data thanks to these mechanisms, which enhances interpretability

and performance. This report covers in-depth talks of attention mechanisms in neural networks

within XAI, as well as an analysis …

Immersive Japanese Language Learning Web Application Using Spaced Repetition, Active Recall, And An Artificial Intelligent Conversational Chat Agent Both In Voice And In Text, Marc Butler

MS in Computer Science Project Reports

In the last two decades various human language learning applications, spaced repetition software, online dictionaries, and artificial intelligent chat agents have been developed. However, there is no solution to cohesively combine these technologies into a comprehensive language learning application including skills such as speaking, typing, listening, and reading. Our contribution is to provide an immersive language learning web application to the end user which combines spaced repetition, a study technique used to review information at systematic intervals, and active recall, the process of purposely retrieving information from memory during a review session, with an artificial intelligent conversational chat agent both …

Human-Machine Communication: Complete Volume. Volume 7 Special Issue: Mediatization

Human-Machine Communication

This is the complete volume of HMC Volume 7. Special Issue on Mediatization

Artificial Sociality, Simone Natale, Iliana Depounti

Human-Machine Communication

This article proposes the notion of Artificial Sociality to describe communicative AI technologies that create the impression of social behavior. Existing tools that activate Artificial Sociality include, among others, Large Language Models (LLMs) such as ChatGPT, voice assistants, virtual influencers, socialbots and companion chatbots such as Replika. The article highlights three key issues that are likely to shape present and future debates about these technologies, as well as design practices and regulation efforts: the modelling of human sociality that foregrounds it, the problem of deception and the issue of control from the part of the users. Ethical, social and cultural …

Mediatization And Human-Machine Communication: Trajectories, Discussions, Perspectives, Andreas Hepp, Göran Bolin, Andrea L. Guzman, Wiebke Loosen

Human-Machine Communication

As research fields, mediatization and Human-Machine Communication (HMC) have distinct historical trajectories. While mediatization research is concerned with the fundamental interrelation between the transformation of media and communications and cultural and societal changes, the much younger field of HMC delves into human meaning-making in interactions with machines. However, the recent wave of “deep mediatization,” characterized by an increasing emphasis on general communicative automation and the rise of communicative AI, highlights a shared interest in technology’s role within human interaction. This introductory article examines the trajectories of both fields, demonstrating how mediatization research “zooms out” from overarching questions of societal and …

The Application Of Poly-Ε-Caprolactone Nanoparticles For Endotoxin Removal, Mikaela Ritchie

Undergraduate Research Conference at Missouri S&T

Lipopolysaccharides (LPS), also known as endotoxins, are toxins released from the cell walls of gram-negative bacteria upon their death. Ingestion of LPS by humans or animals can initiate inflammatory immune responses, resulting in blood vessels dilation, organ dysfunction and potential death. These toxins contaminate a variety of manufacturing processes from the pharmaceutical industry to animal feed production, posing a risk to humans and animals alike. This study details the production of PCL nanoparticle capable of removing LPS from water and a preliminary analysis of the removal efficiency. The outcomes of this research hold significant implications for industries reliant on bacterial …

Quantifying And Characterizing The Behavior Of Dissolved And Suspended Icp-Oes Detectible Elements In Utah Lake, Rachel Ann Valek

Theses and Dissertations

For Utah Lake in Utah, USA, we analyzed a uniquely comprehensive and longitudinal water quality dataset that extended over two summer sampling seasons. We measured 61 parameters using Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES), YSI ProDSS water sondes, and laboratory procedures to quantify and characterize dissolved and suspended behavior of trace elements in Utah Lake. We analyzed the data using principal component analysis (PCA) and multidimensional scaling (MDS) to understand the lake geochemistry and inform Utah Lake management decisions regarding nutrients and algal blooms. We found that 1) sediments rich in phosphorus (P) act as a source for bioavailable …

Meso-Scale Seabed Quantification With Geoacoustic Inversion, Tim Sonnemann, Jan Dettmer, Charles W. Holland, Stan E. Dosso

Electrical and Computer Engineering Faculty Publications and Presentations

Abstract Knowledge of sub-seabed geoacoustic properties, for example depth dependent sound speed and porosity, is of importance for a variety of applications. Here, we present a semi-automated geoacoustic inversion method for autonomous underwater vehicle data that objectively adapts model inference to seabed structure. Through parallelized trans-dimensional Bayesian inference, we infer seabed properties along a 12 km survey track on the scale of about 10 cm and 50 m in the vertical and horizontal, respectively. The inferred seabed properties include sound speed, attenuation, density, and porosity as a function of depth from acoustic reflection coefficient data. Parameter uncertainties are quantified, and …

Urban Expansion And Loss Of Watershed Of Eleyele Dam In Ibadan, Nigeria, Samson A. Adejumo, Solomon Osunwale

CSID Journal of Infrastructure Development

The study examined human activities contributing to the depletion of the Eleyele watershed. The activities have grown over time due to urban expansion through population growth and land and space requirements, resulting in rapid land use and land cover change. The study sourced both quantitative and qualitative data. A total of 247 pre-tested questionnaires were administered to randomly selected residents in the four communities (Eleyele, Ijokodo, Awotan, and Idi Osan) abutting the Eleyele watershed. In-depth interviews were conducted with the heads of Eleyele Waterworks, the Forestry Department, and the Oyo State Ministry of Agriculture and Natural Resources. We used Remote …

Formulation, Characterization, And In Vivo Immunogenicity Evaluation Of Heat-Stabilized Dissolvable Polymeric Microneedles, Aidan Lane Leyba

Biomedical Engineering ETDs

Since its introduction, vaccination has improved health outcomes tremendously. However, modern vaccination efforts are still difficult to implement, particularly in developing countries with warm climates. This includes complex and expensive cold-chain management of vaccines to maintain stability, a lack of medical personnel to administer parental vaccines, and needle phobia. As an alternative, dissolvable microneedles have recently been studied for their simple and painless application. In this thesis, I present a novel manufacturing process for polymer-based dissolvable microneedles, loaded with virus-like particles vaccines conjugated to TRIO or Sialokinin peptides to target malaria and arboviruses, respectively. We have performed multiple characterization studies …

Dying Of Natural Silk Deglued By Various Methods, Venera Djavdatovna Khamidova

Technical science and innovation

Products made of natural silk are indispensable for their hygienic properties and will always be in great demand. To obtain an even and intense coloration on a textile material, it is necessary to ensure its effective preparation with the most complete removal of hydrophobic contaminants (both natural and silicone oils applied during the weaving process, lubricants, etc.), which hinder the dyeing of the substrate and reduce the color characteristics of the obtained colors. Therefore, the issue of preparing natural silk for dyeing is relevant. In view of the sensitivity of the main fiber-forming component of natural silk - fibroin to …

Skin Phantom Development For Electrophysiological Wearable Device Testing, Rohan Sodha, Kiet Vu, Jonathan Nguy

Bioengineering Senior Theses

This senior design project aimed to develop a skin phantom suitable for testing electrophysiological wearable devices. Our skin phantom consisted of a porous paper PDMS as the epithelial layer, initially paired with agarose gel as the tissue layer, and later with gelatin based on comparative analysis. Through rigorous experimentation and leveraging data from the IT’IS Foundation’s interactive database, we identified that gelatin exhibited superior electrical properties compared to agarose, making it a more effective medium for replicating human tissue. Our work not only validated the use of paper PDMS with both agarose and gelatin but also demonstrated that gelatin's lower …

Engineering Transcriptional Regulation For Cell-Based Therapies., Matthias Recktenwald, Evan Hutt, Leah Davis, James Macaulay, Nichole M. Daringer, Peter Galie, Mary Staehle, Sebastian Vega

Rowan-Virtua School of Translational Biomedical Engineering & Sciences Departmental Research

A major aim in the field of synthetic biology is developing tools capable of responding to user-defined inputs by activating therapeutically relevant cellular functions. Gene transcription and regulation in response to external stimuli are some of the most powerful and versatile of these cellular functions being explored. Motivated by the success of chimeric antigen receptor (CAR) T-cell therapies, transmembrane receptor-based platforms have been embraced for their ability to sense extracellular ligands and to subsequently activate intracellular signal transduction. The integration of transmembrane receptors with transcriptional activation platforms has not yet achieved its full potential. Transient expression of plasmid DNA is …

Wrack Lines Volume 24, Number 1, Spring/Summer 2024, Gract Cajski, Paul Choiniere, Maggie Cozens, Owen Placido, Judy Benson

Wrack Lines

"Natural Effects: Tales of Our Dynamic Environment" is the theme of this issue, with articles about a research project using GoPro cameras on oyster cages; the exploding population of black sea bass in Long Island Sound; three research projects in Connecticut salt marshes; a children's book illustrator and author and her book about kelp farming; and a living shoreline project in Old Saybrook, CT.

Santa Clara Magazine, Volume 65 Number 1, Spring 2024, Santa Clara University

Santa Clara Magazine

14 - A CAMPUS ON THE RISE Six new buildings on campus aren’t the only changes brought by a successful $1 billion fundraising campaign. Lauren Loftus & Leslie Griffy

20 - HUMAN AT HEART How Santa Clara University is distinguishing itself as a leader in human-focused health care innovation. Lauren Loftus

26 - SHEPHERDING INNOVATION How wonder, and God, can make us better scientists. Brother Guy Consolmagno, S.J.

30 - THE CO-OP Santa Clara University has long been a bastion of interdisciplinary learning. A new fund is taking cross-collaboration to new heights. SCM Staff

34 - MAKE AI THE BEST …

2024- The Twenty-Eighth Annual Symposium Of Student Scholars

Symposium of Student Scholars Program Books

The full program book from the 28th Annual Symposium of Student Scholars, held on April 17-19, 2024. Includes abstracts from the presentations and posters.

Mechanistic Empirical Design Of Flexible Pavements For Biopolymer Treated Soils, Vishweshwaran M

Theses and Dissertations

Cognizing the contamination effects of chemical soil modifiers on soil and groundwater, the assessment of the ability of biopolymers to improve the engineering properties of soils has gained attention in the last decade. As a soil additive, biopolymers have the potential to solve the trilemma of sustainability, price and soil suitability. Two polysaccharides and two protein biopolymers have been adopted in this study to enhance the geotechnical properties of fine-grained soils.

Design thickness catalogues were developed for a three-layered flexible pavement using 3D finite element analysis (FEA) and layered elastic analysis. The catalogue aims to provide structurally reliable thickness values …

Exploring Lstm-Based Attention Mechanisms With Pso And Grid Search Under Different Normalization Techniques For Energy Demands Time Series Forecasting, Andri Pranolo, Xiaofeng Zhou, Yingchi Mao, Bambang Widi Pratolo, Aji Prasetya Wibawa, Agung Bella Putra Utama, Abdoul Fatakhou Ba, Abdullahi Uwaisu Muhammad

Knowledge Engineering and Data Science

Advanced analytical approaches are required to accurately forecast the energy sector's rising complexity and volume of time series data. This research aims to forecast the energy demand utilising sophisticated Long Short-Term Memory (LSTM) configurations with Attention mechanisms (Att), Grid search, and Particle Swarm Optimization (PSO). In addition, the study also examines the influence of Min-Max and Z-Score normalization approaches in the preprocessing stage on the accuracy performances of the baselines and the proposed models. PSO and Grid Search techniques are used to select the best hyperparameters for LSTM models, while the attention mechanism selects the important input for the LSTM. …

Implementation Of Path Planning Methods To Detect And Avoid Gps Signal Degradation In Urban Environments, Ayush Raminedi

Doctoral Dissertations and Master's Theses

In the modern world, various missions are being carried out under the assistance of autonomous flight vehicles due to their ability to operate in a wide range of flight conditions. Regardless, these autonomous vehicles are prone to GPS signal loss in urban environments due to obstructions that cause scintillation, multi-path, and shadowing. These effects that decrease the GPS functionality can deteriorate the accuracy of GPS positioning causing losses in signal tracking leading to a decrease in navigation performance. These effects are modeled into the simulation environment and are used as part of the path planning algorithm to provide better navigation …

Synchronized Bionic Hand: Harmonizing Robotics With Rhythm, Deven Ayambem , '24

Senior Theses, Projects, and Awards

This report explores the therapeutic potential of rhythmic movement to music, focusing specifically on the "wave dance" movements of the human hand. Utilizing a mechanical analog, the study models the hand as a system of five interconnected mass-spring-dampers to simulate the dynamic and kinematic responses of the hand's joints to rhythmic stimuli. Through a combined approach of MATLAB simulation and physical modeling with servo motors controlled by Arduino, the project aims to quantify and visualize the effects of rhythmic movements on joint dynamics. The simulation employs the mass-spring-damper system to represent each joint and uses an impulse response approach to …

Small Scale Wave Energy Convertor For Remote Applications, Rafael Torres Rodriguez, John Stephenson, Max Mailloux-Beauchemin, Brandon Nguyen, Ryan Chang

Mechanical Engineering Senior Theses

The following thesis showcases the yearlong culmination of a senior design project focused on the development of a small-scale wave energy generator intended to provide consistent and sustainable energy for remote marine environments. This project’s main customers include, but are not limited to, the National Oceanic and Atmospheric Administration, the Atlantic White Shark Conservancy, and scuba diving sites worldwide. Based on these identified customers and their needs, a target power output of 50 watts was determined. Beyond this power requirement, the generator is required to resist corrosion, withstand rough marine conditions, and be modular as well as requiring low maintenance. …

Antibiotic Resistance In Urban Stormwater Runoff And Green Stormwater Infrastructure, Kassidy N. O'Malley

Dissertations (1934 -)

Antibiotic resistance in the environment poses significant risks to human health, especially through the transmission of antibiotic resistance genes (ARGs) and antibiotic-resistant bacteria (ARB) via pathways like food and water. Urban stormwater runoff has been identified as a significant contributor to the release and transport of ARGs in the environment but has remained under-researched. This dissertation aimed to address this gap by investigating the fate of ARGs in urban stormwater runoff to guide future stormwater management decisions. Two phases were completed; the first sought to investigate extracellular antibiotic resistance genes (eARGs) in stormwater runoff, and the second focused on quantifying …

Transformer-Based Deep Learning Model For Sign Language Recognition, Ganzorig Batnasan

Theses

Sign language recognition research aims to develop systems and tools that can interpret and translate sign language into text or spoken language. During the past two decades, the challenges faced in this domain are multifaceted. The first and foremost challenge is the complexity of sign language, which includes intricate hand gestures, facial expressions, and body movements. Recognizing and interpreting these components accurately is challenging. The second challenge is variability among different regions and communities, leading to variations in signs and gestures. This variability poses a challenge for developing universal recognition systems.
Limited data is another challenge which makes it difficult …

Diagnosing Discharge Events Within A Novel Miniature Simplified Coaxial Ion Trap Mass Analyzer, David Virgil Sirbescu-Stanley

Masters Theses

Mass spectrometry is a technique that organizes material samples by mass to reveal their chemical composition by forming a spectrum. Since their invention, ion trap mass spectrometers have undergone significant enhancements. This work, funded by the National Science Foundation and in collaboration with Brigham Young University, the Simplified Coaxial Ion Trap (SCIT), attempts to simplify ion trap geometry and combine three ion traps into one device. Successful demonstration of the SCIT functionality could reduce costs, reduce manufacturing complexity, and shrink total instrument volume. At the same time, trapping capacity and analytical efficiency will be increased. However, as discussed within, challenges …

Toward Electrical Impedance Sensing Surgical Drill For Tissue Boundary Detection, Harshavardhan Devaraj

Dartmouth College Ph.D Dissertations

Dental implantation is an increasingly common procedure used to treat missing teeth. However, surgical drilling to place the implant poses a high risk of injury to critical anatomy, such as inferior alveolar nerve injury or maxillary sinus perforation. A real-time surgical feedback system sensing proximity of these critical anatomy could reduce injury risks. This dissertation investigates the development of such a system that incorporates an electrical impedance sensor into the tip of a surgical drill.

A simulation framework based on finite element method (FEM) was developed to optimize the sensor as it approached a high impedance boundary. The accuracy of …