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Articles 271 - 300 of 6568
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Advancing Institutional Sustainability Through Green Roofs: Performance-Based Policy For Rit, Theoren Heilman
Advancing Institutional Sustainability Through Green Roofs: Performance-Based Policy For Rit, Theoren Heilman
Theses
Utilization of green roof systems continues growth as a sustainable architectural strategy, offering enhancements to key building performance metrics while contributing to overall community resilience. The ability of green roofs to deliver a wide range of performance benefits, even in environments with harsh climatic conditions, positions them as an asset for advancing sustainable development. Within this context, university campuses represent an underutilized, yet important, setting for green roof adoption. Functioning much like small cities, campuses contain diverse building types and extensive infrastructure networks, which draw significant energy demands, positioning them to lead in sustainable building practices. Yet, most lack rigorous, …
Post-Traumatic Stress Disorder Symptom Scale And Coping Mechanisms Among Internally Displaced Persons Of Typhoon Yolanda, Christian Paul S. Biluan
Post-Traumatic Stress Disorder Symptom Scale And Coping Mechanisms Among Internally Displaced Persons Of Typhoon Yolanda, Christian Paul S. Biluan
Theses
The study aimed to determine the Post-Traumatic Stress Disorder Symptom Scale and the Coping Mechanisms utilized by the Internally Displaced Persons of Typhoon Yolanda. It sought to identify the profile, risk factors of the respondents, the Post-Traumatic Stress Disorder (PTSD) symptoms manifested and coping mechanisms utilized. The study also distinguished the differences in PTSD and Coping mechanisms when respondents are grouped according to their profile and death of family members and examined the relationship of PTSD and Coping. The study adopted the PTSD Symptom Scale and Brief COPE Inventory questionnaires and were consequently translated to Visayan-Waray. These were then pilot-tested …
From Sim To 6dof: Deep Learning For Real-Time Satellite Pose Estimation From Resolved Ground-Based Imagery, Thomas W.N. Dickinson
From Sim To 6dof: Deep Learning For Real-Time Satellite Pose Estimation From Resolved Ground-Based Imagery, Thomas W.N. Dickinson
Theses
This dissertation presents the first practical system for automated six degrees of freedom (6DOF) satellite pose estimation from resolved ground-based adaptive optics (AO) imagery. Addressing a key challenge in Space Domain Awareness (SDA), the proposed approach eliminates the need for human labeling by directly regressing satellite orientation and position from blurry, noisy, and deeply-shadowed imagery. The architecture consists of a multi-stage deep neural network pipeline that localizes the satellite, predicts pose, and optionally smooths predictions over time. Networks are trained exclusively on fully synthetic imagery generated from a 3D CAD model. Despite this, the model generalizes effectively, bridging the Sim2Real …
People’S Plate: The Recipe For Equitable Food Distribution, Bayleigh Nicole Thurston
People’S Plate: The Recipe For Equitable Food Distribution, Bayleigh Nicole Thurston
Theses
Food insecurity remains a pressing issue in the United States that disproportionately affects vulnerable populations, leaving millions without access to nutritious meals. In 2023 alone, over 50 million people turned to food assistance programs for additional support1. While traditional nutrition programs like food banks and soup kitchens provide a vital service to many communities, they often lack the capacity to address the multifaceted nature of hunger. The social stigma and alienation associated with seeking food assistance become of little concern when organizations are grappling with daunting challenges of limited resources, logistical hurdles, and the need to provide quality, nutritious meals. …
Degradation Of Anthropogenic Debris In Stormwater Infrastructure Of The Lake Ontario Watershed, Evan Batte
Degradation Of Anthropogenic Debris In Stormwater Infrastructure Of The Lake Ontario Watershed, Evan Batte
Theses
The accumulation of anthropogenic debris (AD) in the Great Lakes is a growing issue with largely unknown consequences for ecological and human health. To better constrain estimates of debris loading into Lake Ontario and elucidate the fate of AD accumulating upstream, an incubation experiment of the most commonly identified littered products was conducted in different stormwater infrastructure within the Lake Ontario Watershed. Chip bags, cigarette filters, and shopping bags were placed into storm drains, stormwater retention ponds, and along riparian zones of tributaries in December of 2022 and July of 2023 to test the spatial (type of stormwater infrastructure [SWI]) …
Cognitive Reserve In The Deaf/Hard Of Hearing Community: An Exploration Of Contributing Factors, Olivia B. Allaby
Cognitive Reserve In The Deaf/Hard Of Hearing Community: An Exploration Of Contributing Factors, Olivia B. Allaby
Theses
Cognitive reserve (CR) refers to the individual differences in how people execute tasks, allowing some to cope with cognitive challenges more effectively than others. Additionally, previous studies have established a link between age-related hearing loss and cognitive decline. However, CR and cognitive aging have not been explored extensively in those who might identify as Deaf/hard of hearing (HH). There are four features potentially unique to this community that could shape one’s CR: use of hearing technology (e.g., hearing aid), bimodal bilingualism, and social connectedness and social support. One hundred fifty-nine Deaf/hard of hearing participants completed an online survey study assessing …
The Case For Mass Media Communication Theories In The Study Of Artificial Intelligence: A Uses And Gratifications & Parasocial Interaction Theory Approach, Colin Farmer
Theses
This study analyzes communication and relationship building between textual generative Artificial Intelligence programs and their users through the lens of parasocial interactions and uses and gratifications. It measures loneliness, knowledge gaining, and task completion as the primary reasons motivating perceived relationship development with AI applications. Through a quantitative survey, it explores the connections between time spent using AI, as well as the previously mentioned factors and seeks to determine what influences a user’s perceived relationship with an AI chatbot program. Comparisons are also drawn between the relationships with AI and the user’s relationships with celebrities, further expanding the justification for …
Design That Builds Communitites: An Evaluation Method For Analyzing, Assessing, And Improving The Way We Plan And Design The Places Around Us, Devine Karas-Gonzalez
Design That Builds Communitites: An Evaluation Method For Analyzing, Assessing, And Improving The Way We Plan And Design The Places Around Us, Devine Karas-Gonzalez
Theses
The places around us shape and impact on the way we interact and live within our communities. As such, it is important to place greater emphasis on designing spaces which are meant to better respond to the needs and functions of a place. With an architectural design process this will result in the use of design strategies which will inform much of the design. In this research, multiple design strategies (Smart Growth, Placemaking, Place Value, and Street Experiments) are evaluated and compared using four regionally similar cities to analyze and assess how the different strategies impact the design process by …
Towards A Foundational Framework For Real-World Active Learning: Theory, Algorithms, And Applications, Dayou Yu
Theses
While supervised learning has seen great success in the modern machine learning era, the challenge of obtaining high-quality labeled training data still exists. In many knowledge-rich domains, we still face the problem of letting machine learning models learn well using a limited number of labels. Active learning (AL) has been a prominent learning paradigm that deals with such problems. This thesis reviews the classical challenges of AL, summarizes how our prior work has advanced the field, and charts a course for adapting AL to realistic and challenging scenarios. We begin by discussing past work on standard scenarios for AL, including …
Digital Biophilia In Web Interface Design For Accessibility And User Well-Being, Bryana Michelle Peifer
Digital Biophilia In Web Interface Design For Accessibility And User Well-Being, Bryana Michelle Peifer
Theses
This interdisciplinary study explores the intersection between horticultural therapy and web design, focusing on the impact of biophilic design principles in shaping contemporary practices within digital interface design. This exploration addresses the multifaceted relationship between humanity and the natural world, particularly how this connection serves as a source for the emergence of nature-inspired elements in digital expressions and their subsequent integration into modern web design for accessibility and well-being. As digital environments increasingly dominate daily experiences, the need for digital wellness through nature integration has become critical, especially for individuals who have physical disabilities, limited mobility, or limited access to …
Product, Process, And Behavior Influences On Value Retention Processes: Toward A Circular Economy In Consumer Electronics, Kyle Parnell
Product, Process, And Behavior Influences On Value Retention Processes: Toward A Circular Economy In Consumer Electronics, Kyle Parnell
Theses
Consumer electronic products (CEP) manufacturing and retail contribute markedly to global industrial activity; worldwide estimates suggest revenue growth from $1 trillion in 2020 to $1.5 trillion by 2026. Consequently, the production, distribution, use, and end-of-life (EOL) disposition of these products are responsible for considerable social and environmental impacts, including 35 million metric tonnes of waste to landfill per year, 793 million metric tonnes (MMT)—and growing—of carbon dioxide-equivalent (CO2e) greenhouse gas (GHG) emissions per year, and innumerable adverse effects on human health and development. Driving these impacts are the inherent characteristics of CEPs themselves, which increasingly require critical materials in design, …
Advancing The Utility Of Unmanned Aerial Systems (Uas)-Based Imaging Techniques In Broadacre Agriculture: A Multimodal Case Study On Table Beets, Mohammad Shahriar Saif
Advancing The Utility Of Unmanned Aerial Systems (Uas)-Based Imaging Techniques In Broadacre Agriculture: A Multimodal Case Study On Table Beets, Mohammad Shahriar Saif
Theses
Efficient and sustainable food production and management are growing concerns in the context of an ever-increasing global population. It is in this context that the integration of remote sensing with advanced imaging technologies presents transformative opportunities for data-driven decision-making in agriculture. This study therefore explores the use of unmanned aerial systems (UAS) equipped with multispectral, hyperspectral, and LiDAR sensors for the non-destructive monitoring of table beet (Beta vulgaris) crop traits, with a specific focus on root yield estimation and foliar disease assessment. Table beet, a subterranean crop of increasing commercial and nutritional importance, poses unique challenges for above-canopy sensing due …
Engineering Tunable Collagen Fiber Alignment Gradients To Quantify Contact Guidance Effects On Cell Migration, Indranil Mandar Joshi
Engineering Tunable Collagen Fiber Alignment Gradients To Quantify Contact Guidance Effects On Cell Migration, Indranil Mandar Joshi
Theses
Directional migration of cells is one of the most important physiological processes, necessary for tissue and organ development. It also plays a crucial role in pathological conditions such as cancer metastasis. This directed migration is influenced by various factors present in the native environment, which guide cells to migrate steadily in a specific direction. Due to its importance, over the years, a lot of emphasis has been placed on understanding and exploring the biochemical and biophysical factors that direct cell migration. In addition to the commonly studied biochemical and biophysical cues, contact guidance from collagen fibers, in the native matrix, …
On The Adaptation Of Latent Dynamics Models, Ryan Missel
On The Adaptation Of Latent Dynamics Models, Ryan Missel
Theses
Predicting future states of high-dimensional, partially observed dynamical systems - such as cardiac electrical propagation - is crucial for advancing fields like healthcare and physics. While univariate time-series forecasting is well-explored, high-dimensional time-series forecasting presents unresolved challenges. These challenges include the computational burden of processing high-dimensional data and the difficulty of accessing the system’s underlying dynamics directly. Classical optimization and analytical approaches become impractical as the dimensionality increases, leading to a growing interest in data-driven deep learning models, particularly those based on latent dynamics functions. Latent dynamics models provide an efficient way to map high-dimensional observations into lower-dimensional latent spaces, …
3d Printing Of Short Fiber Reinforced Polypropylene: Novel Lattice Architecture And Material Characterization, Mohammad Ghazi Alshneeqat
3d Printing Of Short Fiber Reinforced Polypropylene: Novel Lattice Architecture And Material Characterization, Mohammad Ghazi Alshneeqat
Theses
This study explores the enhanced compressive behavior of 3D-printed single and double gyroid solid-networks lattices. Where the double gyroids are constructed from two intertwined single gyroid structures. These structures were designed by nTop implicit modeling tool and then fabricated by material extrusion additive manufacturing method at optimized printing parameters, including optimized nozzle temperature and raster angle. The main objective of this study is to reveal the compressive behavior of the novel double gyroid lattice structure and then to tailor its response through variable gyroid heights. Standard polymer tests were performed, considering thermogravimetric analysis, to confirm the thermal stability of the …
Meta-Learning Coordinated Eye–Hand Dynamics, Chengkuan Zhao
Meta-Learning Coordinated Eye–Hand Dynamics, Chengkuan Zhao
Theses
The analysis of fine-grained behavioral time-series, such as eye-hand coordination, offers a powerful lens for understanding neurodevelopmental disorders like Autism Spectrum Disorder (ASD). Traditional assessments often miss subtle dynamic patterns that are critical for characterizing individual differences. This thesis investigates the temporal dynamics of coordinated eye and hand behavior in adolescents with and without ASD during a structured ”maze painting” tablet task. The goal is not to propose a new predictive model, but to use a state-of-the-art meta-learning framework based on latent Neural Ordinary Differential Equations (Neural ODEs) as a ”computational microscope” to explore how these behavioral dynamics vary within …
Galaxy Tales: A Data-Driven Approach To Emotional Self-Expression, Bing Chen
Galaxy Tales: A Data-Driven Approach To Emotional Self-Expression, Bing Chen
Theses
Galaxy Tales is a mobile application that transforms users’ social media activity into personalized planetary visuals, offering a novel way to document and reflect on life experiences. This project explores how data-driven design can create emotionally resonant and personalized representations of identity by extracting key elements—color, object shapes, and emotional atmosphere—from digital footprints. Grounded in psychological theories such as memory anchors and emotional attachment, Galaxy Tales enables users to form deep emotional connections with their virtual planets, turning abstract memories into tangible visual metaphors. The project also addresses current societal challenges, such as loneliness and emotional fatigue, by offering a …
A Web Application For Generating Argument Maps For Essays Using Llms, Alexis R. Chalmers
A Web Application For Generating Argument Maps For Essays Using Llms, Alexis R. Chalmers
Theses
Argumentative writing is a critical skill that strengthens students’ reasoning, communication, and analytical abilities. However, maintaining a clear and organized argument structure while writing can be challenging. Argument maps — visual diagrams which explicitly show an argument’s structure — have been shown to improve students’ writing, but are rarely used outside of the planning stage of an essay due to the time and effort required to create them. Automatically generating argument maps from student essays helps students to evaluate the structure of their argument as they write and makes identifying unsupported claims visible. To evaluate whether large language models (LLMs) …
Calibration Of Detectors For The Tomographic Ionized-Carbon Mapping Experiment, Tessalie A. Caze-Cortes
Calibration Of Detectors For The Tomographic Ionized-Carbon Mapping Experiment, Tessalie A. Caze-Cortes
Theses
Observations of the intensity of the sky at millimeter (mm) wavelengths require accurate calibrations for the spectrometers to work with radio telescopes. However, calibrating is a complex and lengthy process for sensitive detectors that catch single photons. To improve efficiency in locating defective detectors and optimizing bias current, my research involves taking data from previous lab characterizations and creating an algorithm that analyzes and plots the code of all 1920 detectors. This thesis will discuss the importance of mm-wavelength intensity mapping and the questions the TIME research team aims to address. Also, a detailed description of mechanical and computational components …
Zoo Visitors Learn By Observing Olive Baboons (Papio Anubis) Participate In Cognitive Research Or Engage In Natural Behaviors, Anna Sofia Hege
Zoo Visitors Learn By Observing Olive Baboons (Papio Anubis) Participate In Cognitive Research Or Engage In Natural Behaviors, Anna Sofia Hege
Theses
I conducted two experiments at the baboon exhibit at the Seneca Park Zoo in Rochester, New York to measure attitudes and actual knowledge in children and adults, as well as perceived learning in adults. I also recorded caregiver-child conversations in the presence and absence of live research. Experiment 1 included 150 adult participants, and Experiment 2 included 18 caregiver-child dyads. In each experiment, the research on-scientist present and research on-scientist absent group watched the baboons engage with live cognitive research while the research off-scientist present and research off-scientist absent group watched the baboons carry out their natural behaviors. A scientist …
Effects Of Self-Monitoring On Teachers’ Behavior-Specific Praise And Students’ Behavior In A Center-Based Classroom, Samantha Walsh
Effects Of Self-Monitoring On Teachers’ Behavior-Specific Praise And Students’ Behavior In A Center-Based Classroom, Samantha Walsh
Theses
The current study explores the effects of self-monitoring on teachers' use of behavior-specific praise (BSP) and its impact on student behavior in a center-based classroom. Self-monitoring, a cost-effective and time-efficient intervention, has been proven effective in previous research for enhancing educator performance. However, previous studies have often combined self-monitoring with other interventions, leaving a gap in understanding its effects in isolation. This study aims to replicate the work of Justus et al. (2023) by examining the impact of self-monitoring on paraprofessionals in a center-based classroom with students aged 6-10. Using a multiple baseline design across participants, three paraprofessionals were trained …
Protein Language Models-Based Representation For Post-Translational Modification Prediction, Suresh Pokharel
Protein Language Models-Based Representation For Post-Translational Modification Prediction, Suresh Pokharel
Theses
Post-translational modifications (PTMs) are chemical changes that occur after translation and play a key role in regulating protein function and cellular processes. Their dysregulation is associated with various diseases, making accurate prediction of PTM sites essential for understanding cellular mechanisms and informing therapeutic strategies. This work focuses on the computational prediction of two biologically significant PTMs, namely succinylation and O-GlcNAcylation, utilizing recent advances in protein language models (pLMs). Drawing an analogy to natural languages, amino acids are treated as words and sequences as sentences, allowing pLMs to capture contextual dependencies within protein sequences. One of the earliest contributions of this …
Engraving Goddesses: Hendrick Goltzius’S Mannerist Prints, Emily Seils
Engraving Goddesses: Hendrick Goltzius’S Mannerist Prints, Emily Seils
Theses
This project analyzes the reception of Hendrick Goltzius’s (1558-1617) prints within the court of Emperor Rudolf II (1552-1612), specifically how his technical expertise in his mythological compositions presented bodily transformation as an alchemical act. He produced images that were intellectually coded for a sophisticated audience while simultaneously capturing the viewer’s gaze and emotions. In doing so he created, alongside his contemporaries, a niche market of high demand art and enabled the "viral" circulation of collectable prints among Northern European elites. Three main topics structured my approach. First, the distinctive development of Rudolf II of Prague’s prestigious art collection, the Kunstkammer, …
Through A Mother's Eyes: The Psychology Of Color, Katie Kutz
Through A Mother's Eyes: The Psychology Of Color, Katie Kutz
Theses
This project investigates the intersection of color psychology, maternal experience, and visual perception through a series of five artworks. Using a qualitative methodology, this project draws upon interdisciplinary research such as neuroscience, marketing, art history, and personal experiences as a mother. This work explores how sensory changes during pregnancy and postpartum influence the emotional perception of color, and how this can be represented in art. Inspired by artists that have explored the theme of motherhood such as Mary Cassatt, Käthe Kollwitz, Paula Modersohn-Becker, Jenny Saville, and Alice Neel, this project uses an emotionally charged approach to depicting motherhood. Color changing …
The Evolution Of Agriculture Marketing: Harnessing Data Analytics To Understand Generational Shifts And Influencer Trends, Lexi Schweigert
The Evolution Of Agriculture Marketing: Harnessing Data Analytics To Understand Generational Shifts And Influencer Trends, Lexi Schweigert
Theses
The findings reveal that data analytics plays a crucial role in shaping marketing strategies in agriculture. Generational shifts, particularly among Gen Z and Alpha, are driving changes in consumer preferences and expectations. Influencers are also playing an increasingly important role in shaping the perception of agriculture and food among these generations.
Customizing Ai Strategies Across Multiple Generations, Matthew Harrer
Customizing Ai Strategies Across Multiple Generations, Matthew Harrer
Theses
This project investigates how artificial intelligence can help brands and marketers connect more effectively with Generation X, Millennials, and Generation Z. The literature review lays the groundwork that focuses on consumer behaviors and the integration of AI into digital marketing practices for each generation. The second part of the project involves a secondary data analysis of 21 recent marketing surveys and reports that explores topics related to trust, personalization, and social media. By integrating the findings into an insightful guidebook, marketers will be able to maximize these insights into clear actionable strategies.
Consumer Behavior Of Gen Z In Kosovo: Purchasing Preferences And Brand Engagement, Sara Dumani
Consumer Behavior Of Gen Z In Kosovo: Purchasing Preferences And Brand Engagement, Sara Dumani
Theses
This capstone project examines the consumer behavior of Generation Z in Kosovo by analyzing their purchasing preferences and brand engagement. The Generation Z demographic, which includes individuals born between 1996 and 2010, is the focus of this study. This generation is characterized by digital savviness and a significant influence from social media platforms, shaping their purchasing decisions and brand engagement. Generation Z’s behavior is often marked by a preference for online shopping, collaborative marketing approaches, and sustainability, making it essential to understand these factors in the context of Kosovo. The data for analyzing Generation Z’s consumer behavior were collected through …
Utilizing Natural Language Processing To Optimize Business Processes, Olt Kondirolli
Utilizing Natural Language Processing To Optimize Business Processes, Olt Kondirolli
Theses
This Capstone project explores the potential of Natural Language Processing (NLP) techniques in optimizing decision-making and organizational workflows across various domains. The Capstone project uses three case studies to demonstrate how sentiment analysis, frequency analysis, and topic modeling can analyze unstructured textual data to provide insightful findings. The first case study evaluates employee satisfaction using sentiment analysis, uncovering trends across departments and roles to guide targeted organizational interventions. The second case study focuses on student feedback at a higher education institution, using sentiment and frequency analyses to identify key areas for improvement in academic programs and services. The third case …
Facial Color Matching In Optical See-Through Augmented Reality, Yanmei He
Facial Color Matching In Optical See-Through Augmented Reality, Yanmei He
Theses
Augmented reality (AR) aims to combine elements of the surrounding environment with additional virtual content into a combined viewing scene. Displaying virtual human faces is a widespread practical application of AR technology, which can be challenging in optical see- through AR (OST-AR), due to limitations in its color reproduction. Specifically, OST-AR’s additive optical blending introduces transparency and color-bleeding, which is exacerbated especially for faces having darker skin tones, and for brighter and more chromatic ambient environments. Given the increasing prevalence of social AR applications, it is essential to better understand how facial color reproduction is impacted by skin tone and …
Something’S Gonna Give, Jonathan Dean Mills
Something’S Gonna Give, Jonathan Dean Mills
Theses
This thesis examines the differences between structures of time and the relationships in which queer people orient themselves to develop an archive of a trans- body navigating the world they inhabit. Through deconstructing the notions of hegemonic time, queer identities and spaces are created, occupied, and left to be re-navigated. This study explores the fluidity of materials such as plaster, metal, and glass, in tandem with a transitioning body and identity, aiming to break down the structures of time and place to build new definitions of existence, identity, and the pursuit of a trans- future.