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A Study Of Perceptions, Readiness, Benefits, And Barriers Related To Exoskeleton Adoption In New Jersey’S Warehousing Sector, Terry Asante Dec 2025

A Study Of Perceptions, Readiness, Benefits, And Barriers Related To Exoskeleton Adoption In New Jersey’S Warehousing Sector, Terry Asante

Theses

The warehousing industry in New Jersey remains a vital component of the region's logistics network, employing more than 200,000 workers who routinely engage in lifting, bending, overhead reaching, and other physically demanding activities. These exposures contribute to musculoskeletal disorder (MSD) rates that exceed national averages, particularly affecting the low back and shoulders. Nationally, MSDs account for an estimated $420 billion in combined direct and indirect costs each year, underscoring the need for interventions that can effectively reduce biomechanical strain. Industrial exoskeletons have emerged as a potential solution, with prior research demonstrating reductions in muscle activation, perceived exertion, and fatigue during …


Optimizing Crime Response Time Using Predictive Analytics Models, Mohammad Hassan Bin Yaqoob Dec 2025

Optimizing Crime Response Time Using Predictive Analytics Models, Mohammad Hassan Bin Yaqoob

Theses

Timely and efficient emergency response is essential for public safety, particularly in high- risk urban environments. However, existing dispatch systems often rely on reactive decision- making, leading to delays and inefficient resource allocation. This thesis explores how artificial intelligence (AI) and data modeling can enhance police response times through predictive analytics. A systematic review of 17 peer-reviewed studies identified key predictors such as dispatch behavior, crime history, temporal characteristics, and geographic location. Using real-world emergency response and crime data, predictive models were developed and evaluated through algorithms including XGBoost, Linear Support Vector Machine (LSVM), Generalized Linear Model (GLM), and Neural …


A Fish & A Bird, Deanna Moorehead Dec 2025

A Fish & A Bird, Deanna Moorehead

Theses

As a curtain of trees opens and dawn breaks over the glistening waters of Lake Ontario, a fish and a bird spot each other through the surface and fall madly in love. They dance and sing together from their respective atmospheres, yet each time the bird soars past the water's edge and onto the beach, the fish cannot follow. Night after night, by the light of the moon, the fish trains herself to leap out of the water, hoping to breach high enough to join her beau above. Late one afternoon, the fish approaches the shore, where the bird stands …


A Comprehensive Study Of Integration And Alternatives For Concrete In The Construction Industry, Saee Sawlikar Dec 2025

A Comprehensive Study Of Integration And Alternatives For Concrete In The Construction Industry, Saee Sawlikar

Theses

Concrete dominates the building industry as a construction material, frequently used due to its versatile, enormous application properties and the flexibility it offers. When just traditional concrete is considered, it contributes to only 8% of the total global warming potential. However, due to its countless vast applications, it’s energy and emissions consumption is up to roughly 35% and 38% respectively when compared with other industries. The study focuses on proposing three alternative low-carbon concrete materials with modified component chemical properties with reference to concrete itself and will test if any material could replace and surpass the benefits offered by concrete …


Relationship Between Muscle Activation And Kinematic Features During Baseball Pitching, Maxwell Skene Dec 2025

Relationship Between Muscle Activation And Kinematic Features During Baseball Pitching, Maxwell Skene

Theses

Background: Baseball pitching is a biomechanically complex, high-velocity movement that places substantial demands on the upper extremity. Inefficient coordination between muscle activation and kinematic sequencing has been associated with reduced performance and increased injury risk, particularly at the shoulder and elbow. However, the integrated relationship between muscle activation patterns and three-dimensional kinematic features during pitching is not well-documented. Purpose: The purpose of this study was to examine the relationship between throwing-arm muscle activation patterns and three-dimensional kinematic characteristics during fastball pitching, with particular emphasis on segmental accelerations, proximal–distal sequencing, and the directional structure of movement quantified using Relative Dimensional Contribution …


Evaluating The Feasibility Of Digital Twin Adoption For Mep Systems, Tejas Adana Dec 2025

Evaluating The Feasibility Of Digital Twin Adoption For Mep Systems, Tejas Adana

Theses

MEP systems dominate building operational costs, yet facility teams continue battling reactive maintenance cycles that result in unexpected equipment failures, emergency callouts, and continuous energy inefficiencies. Digital twin technology presents a practical solution by creating live virtual replicas that shift operations from firefighting breakdowns to anticipating issues before they escalate. However, adoption remains limited due to fragmented implementation guidance, short-term validation studies, and minimal research addressing emerging market contexts. This research employs a grounded approach combining systematic literature analysis, candid discussions with MEP engineers and facility managers across UAE commercial properties, and practical prioritization frameworks assessing real-world impact against implementation …


Visible And Invisible Empires: The Revival Of The Ku Klux Klan 100 Years Ago, Christian Molina Dec 2025

Visible And Invisible Empires: The Revival Of The Ku Klux Klan 100 Years Ago, Christian Molina

Theses

Hatred and violence breed division, and division breeds more hatred and more violence. In an America where our politics has become name-calling, finger-pointing, scapegoating, and whataboutisms, and violence, unfortunately, it is safe to say our nation has entered this self-perpetuating cycle. A place for malicious groups concerned with growth, power, and profit to capture the angry, the stressed, and the less informed in their webs of elaborate lies and misleading, misinterpreted numbers the way they have in decades past.


Cosmic Legends, Neha Ravindra Hiremath Dec 2025

Cosmic Legends, Neha Ravindra Hiremath

Theses

Cosmic Legends is a touchscreen-based interactive kiosk that invites users to explore how different cultures interpret the same star—Betelgeuse. Designed for public educational settings, it blends visual storytelling, mythology, and voice interaction into a cohesive learning experience. This project challenges the Eurocentric approach of most astronomy tools by introducing global narratives rooted in Navajo, Tupi, and Japanese sky traditions. Users begin by tapping a glowing version of Betelgeuse, which transforms the night sky into a new cultural context. Each sky shift is paired with narrated myths, synchronized captions, and celestial motion design. The interface prioritizes accessibility with dyslexia-friendly text, high-contrast …


Hugs In Hues, Shivani Pednekar Dec 2025

Hugs In Hues, Shivani Pednekar

Theses

Hugs in Hues is an animated short film about social anxiety, emotional expression, and discomfort with physical touch. The story follows Tina, a young artist who struggles to express how she feels. When she pulls away from a hug from her friend Emily, Tina escapes into a painting-like 2D world made from her drawings. This imagined world reflects Tina’s emotions. The colors, textures, and spaces change based on how she feels. Her anxiety, fear of rejection, and need for safety take visual form. The real world feels sharp and rigid, while Tina’s illustrated world feels soft, imperfect, and expressive. Animation …


Understanding The Relationship Between Mental Health And Criminal Justice Involvement: Pathways, Disparities, And Improving System Responses, Haley Bly Dec 2025

Understanding The Relationship Between Mental Health And Criminal Justice Involvement: Pathways, Disparities, And Improving System Responses, Haley Bly

Theses

This capstone project examines the complex relationship between mental health and involvement in the criminal justice system, emphasizing how pathways, external conditions, structural inequities, and system responses interact to shape long-term outcomes for persons with mental illness (PwMI). While mental illness alone is not a predictor of criminal behavior, the intersection between psychological disorders, social strain, stigma, and systemic failures significantly heightens the risk of criminal justice involvement. Combining four working papers, this capstone examines these relationships across individual, environmental, institutional, and community levels, ultimately arguing that treatment and rehabilitative-centered reforms are essential for improving the experiences of individuals with …


Catherine, Reagan Christie Dec 2025

Catherine, Reagan Christie

Theses

A golden lamb sleeps peacefully in a quiet meadow, showcased in an intricate golden frame. She wakes up and slowly begins to stand, her knobby knees trembling all the way up. She steadies herself, turning toward the viewer, blinking. Catherine looks at her reflection in a grimy sink full of water. The sink drips, reflection dissipating. She looks up into the mirror above the sink in an endless bathroom, tucks a loose curl of hair back into her habit, and exits the bathroom. Catherine makes her way down a long spiral staircase, humming a hymn to herself. In the kitchen, …


The Impact Of Screen Time Patterns On Digital Behaviour And Productivity: A Data Analytics Study Across Age Groups, Maytha Alshamsi Dec 2025

The Impact Of Screen Time Patterns On Digital Behaviour And Productivity: A Data Analytics Study Across Age Groups, Maytha Alshamsi

Theses

The increasing incidence of screen time of all ages has generated a greater interest in the effect of screens on the human psyche. This paper looks at behavioural data of 2, 000 individuals aged 13-64 to investigate the predictability of a composite mental- health score by various modalities of screen-time, lifestyle and psychological charac- teristics. We determine, based on exploratory statistics, multivariate regression and su- pervised machine-learned models, that in as much as the influence of total screen time and social-media consumption has significant relationships with worse mental health, the effects are small when juxtaposed to those of lifestyle and …


Basil_Dock: Development Of Accessible And Customizable Molecular Docking Procedures, Lee Schoneman Dec 2025

Basil_Dock: Development Of Accessible And Customizable Molecular Docking Procedures, Lee Schoneman

Theses

Molecular docking is a computational technique often used in drug design due to its ability to predict ligand binding potential, conformation, and location for a given drug target. Docking as a screening tool also comes at a greatly reduced cost compared to wet bench work. Despite its usefulness, molecular docking is often inaccessible to novice users, as to perform molecular docking, most programs require at least a basic knowledge of command line and computer programming for both installation and utilization. Additionally, tutorials for the most popular programs tend to be inflexible, instructing how to bind predetermined molecules to a specified …


Planning For Power: The Role Of Architecture & Urban Form In Local Energy Generation In Dense Built-Up Areas, Chris Shing Wai Leung Dec 2025

Planning For Power: The Role Of Architecture & Urban Form In Local Energy Generation In Dense Built-Up Areas, Chris Shing Wai Leung

Theses

This thesis explores how the urban form/building design, and a well-thought-out City Master Plan can significantly affect wind patterns and enhance on-site energy generation in dense urban areas. It will examine strategies such as modifying building heights, adjusting separations between structures, shaping urban landforms, and varying the roughness of the urban fabric to optimize wind energy generation. Additionally, the research will focus on the strategic placement of community power harvesting devices. The study of the urban forms and fabric with the impact of wind patterns is simulated by fluid mechanics with Computational Fluid Dynamics (CFD) software. The goal of this …


Geometric Deviation Prediction In Additively Manufactured Parts Using Conditional Generative Adversarial Networks Under Varying L-Pbf Process Parameters, Subigyamani Bhandari Dec 2025

Geometric Deviation Prediction In Additively Manufactured Parts Using Conditional Generative Adversarial Networks Under Varying L-Pbf Process Parameters, Subigyamani Bhandari

Theses

The progress in metal AM technology has enabled printing parts with thin features and intricate geometries. Predicting and reducing metal AM part geometrical deviations to narrow down the difference between printed and designed structure still poses a problem. This work explores changes in laser speed, laser power, and hatch spacing affecting geometrical deviations in parts made using laser powder bed fusion (L-PBF) and places an emphasis on how to predict geometrical defects in the AM parts. Sliced images obtained from CAD designs and printed parts to capture the effect of various L-PBF process parameters are utilized to create a dataset. …


Exploring The Adoption Of Quality 4.0: A Qualitative Study Of Industry Practices And Barriers, Tama Rani Sarker Dec 2025

Exploring The Adoption Of Quality 4.0: A Qualitative Study Of Industry Practices And Barriers, Tama Rani Sarker

Theses

The emergence of Industry 4.0 has revolutionized quality management, introducing Quality 4.0 as a framework that integrates digital technologies with established quality principles. Despite its potential to enhance operational efficiency and decision-making, many organizations face challenges in adopting Quality 4.0, including skill gaps, resource constraints, and cultural resistance. This qualitative study explores industry practices, barriers, and enablers of Quality 4.0 implementation through surveys and interviews with quality professionals in southern Illinois manufacturing companies. Using a phenomenological approach, five major themes emerged: employee skillset, training, technology integration, quality tools, and supply chain management. Findings reveal that successful adoption depends on workforce …


A Comparison Of Fixed And Repetitive Models During Imitation Training In Children With Developmental Delays In A School Setting, Laci Fletcher Dec 2025

A Comparison Of Fixed And Repetitive Models During Imitation Training In Children With Developmental Delays In A School Setting, Laci Fletcher

Theses

Imitation training is commonly recommended in applied behavior analytic literature to address deficits in imitative skills. Few studies have directly compared imitative models to identify the most efficient and effective teaching arrangement to facilitate imitative skills (Deshai & Vollmer, 2019; Halbur et al., 2023). Previous results are inconclusive, and the authors recommended further research comparing the effect of fixed and repetitive models. Therefore, the present study was a replication of Halbur et al. (2023) and addressed limitations suggested by the authors. We examined whether components of imitative models affected the efficiency of the model type and reduced faulty stimulus control …


Asymptote, Aybuke Yilmazer Dec 2025

Asymptote, Aybuke Yilmazer

Theses

Asymptote is a short film that is an expression of mankind’s emotional consumption through confusing love with sex. This film is a frame-by-frame hand-drawn animation that combines digital and analog techniques. It was produced between August 2024 and April 2025, and its music was re-produced in August 2025. This paper is a written declaration of the motives and intentions of the director, Aybuke Yilmazer, in making this film, and analyzes the filmmaking process. The text of the thesis is in third person except for the self-evaluation section.


Exploring The Relationship Between Social Media And Anxiety In Deaf Community Students: A Mixed-Methods Approach., Gigi Zheng Dec 2025

Exploring The Relationship Between Social Media And Anxiety In Deaf Community Students: A Mixed-Methods Approach., Gigi Zheng

Theses

The mental health of Deaf individuals, particularly in relation to social media engagement, is an understudied area amid growing global concerns about anxiety disorders. Deaf individuals face unique challenges, including communication barriers, social isolation, and stigma, all of which can heighten anxiety levels. Although social media offers valuable opportunities for connection and self-expression, it may also amplify stress and feelings of inadequacy when accessibility barriers persist. This mixed-methods study examined anxiety among Deaf college students and explored the cultural validity of two widely used anxiety measures—the State-Trait Anxiety Inventory (STAI) and the Beck Anxiety Inventory (BAI). Quantitative data were collected …


These Yellow Stars Of Ours, Vinh Hong Nguyen Dec 2025

These Yellow Stars Of Ours, Vinh Hong Nguyen

Theses

These Yellow Stars of Ours is an experimental documentary that traces the intertwined histories of Thaun and Nam Nguyen as they flee war-torn Vietnam, fall in love, and build a life in Western New York. Through their accounts and those of their two sons, the film explores the complexities of generational trauma and the ongoing experience of bicultural straddling—the negotiation between inherited Vietnamese identity and the shaping influence of an American upbringing. The project examines how trauma, memory, and cultural displacement circulate across generations, shaping identity in both visible and invisible ways. Methodologically, the film is structured around the conceptual …


Early Diabetes Prediction Using Machine Learning: A Comparative Study Of Classification Models, Ahmed Abdelqadir Bawazir Dec 2025

Early Diabetes Prediction Using Machine Learning: A Comparative Study Of Classification Models, Ahmed Abdelqadir Bawazir

Theses

The current dissertation investigates the application of machine learning in diabetes prediction at early stages through a comparison of the performances of three classification models, including Logistic Regression, Decision Tree, and Random Forest. Inspired by the increased and spread cases of diabetes worldwide, the research objective is to facilitate early diagnosis by providing interpretable and accurate predictive models. Based on Pima Indians Diabetes Dataset containing 768 clinical records, the research implemented data preprocessing including KNN imputation and outlier processing, feature scaling, and formation of interaction features. Quantitative and comparative approach was made to train and test the models based on …


Machine Learning Approaches For Predicting And Preventing Vehicle Theft, Hamad Almutawa Dec 2025

Machine Learning Approaches For Predicting And Preventing Vehicle Theft, Hamad Almutawa

Theses

This study develops a data-driven framework for predicting vehicle theft using machine-learning techniques applied to a comprehensive crime dataset containing demographic, spatial ,and operational policing variables. The dataset, sourced from publicly available crime records, included 9,712 cases and 30 variables, with minimal missing data and balanced class distribution. After performing extensive preprocessing—including outlier analysis, missing-value imputation, categorical encoding, feature selection, and correlation testing—four supervised classification models were implemented: Logistic Regression, Random Forest, Support Vector Machine, and a Neural Network. Bivariate statistical tests, including Chi-square and Mann–Whitney U, revealed significant relationships between theft occurrence and factors such as crime area, luxury …


Practice?, Pei Chen Dec 2025

Practice?, Pei Chen

Theses

3D animation is a combination of art and technique. Art serves to convey your perspective, express beauty, tell stories, and more. However, to accomplish these goals, we need solid technical support. Only by paying attention to both, can we achieve excellent results. The title of this film is “Practice?”, which is a deliberate pun. On one hand, "practice" refers to the martial arts training sequences of the character, during which his master provides guidance, intervenes in his movements, and progressively increases the difficulty. On the other hand, "practice" also symbolizes my own artistic and technical experimentation—exploring and refining skills in …


Modeling The Effects Of Shed Target Receptors On The Efficacy Of Cancer Immunotherapy Agents, Bridget M. Torsey Dec 2025

Modeling The Effects Of Shed Target Receptors On The Efficacy Of Cancer Immunotherapy Agents, Bridget M. Torsey

Theses

Cancer cells often shed receptors targeted by immunotherapies. Shed receptors can reduce drug efficacy by binding to free drug, preventing its binding to membrane-bound receptors. The goal of this dissertation is to investigate the effects of shed targets on the efficacy of cancer immunotherapies. First, we study liquid tumors by extending a PK/PD model to include receptor shedding, drug-induced enhancement of shedding, drug binding to shed receptors, and drug-induced tumor lysis. We use our model to elucidate the effect of shed target receptors on the efficacy of immunotherapies through uncertainty and sensitivity analyses. Our findings support the claim that the …


Symbiotic Furniture Design: A Single Chair Integrating Epiphytes With Taiwanese Window Grille Structures, Kuan-Wen Lin Dec 2025

Symbiotic Furniture Design: A Single Chair Integrating Epiphytes With Taiwanese Window Grille Structures, Kuan-Wen Lin

Theses

Plants have been integrated into residential and interior environments for centuries, yet research on the psychological effects and interactive potential of plants in furniture design is still relatively limited. Traditional planting methods, such as individual potted plants or large green walls, often require additional floor or wall space, which is not ideal for environments with limited living space. Therefore, this study investigates how plants can be integrated into furniture design to enhance the effect of interior greenery and user engagement, and to redefine the relationship between furniture and the natural environment. This research explores a furniture design that incorporates epiphytic …


Defaking Deepfakes: Designing And Evaluating Ai-Powered Digital Media, Saniat Javid Sohrawardi Dec 2025

Defaking Deepfakes: Designing And Evaluating Ai-Powered Digital Media, Saniat Javid Sohrawardi

Theses

The rapid spread of generative AI has revolutionized media production, creating new challenges for information integrity as convincing deepfakes proliferate. Journalists play a critical role in upholding credible public information, yet existing deepfake detection technologies often overlook their specific workflows and requirements. This dissertation addresses these needs by identifying what journalists require from detection tools and evaluating usability in realistic scenarios through the following works: Journalists' Needs and Tool Design: Through qualitative user studies, we uncover journalists' preferences for tools that provide transparent, explainable evidence and context-aware analysis integrated into news verification routines. These insights drive the design of DeFake, …


Physics Meets Data: Merging Physics-Based Methods With Deep Learning To Model Complex Systems, Maryam Toloubidokhti Dec 2025

Physics Meets Data: Merging Physics-Based Methods With Deep Learning To Model Complex Systems, Maryam Toloubidokhti

Theses

Accurate modeling of complex systems is crucial in domains such as healthcare, where personalized diagnosis and treatment planning are essential. Traditional physics-based models provide structured, theoretically grounded insights but are often computationally intensive and constrained by simplified assumptions that limit adaptability to patient-specific conditions. In contrast, data-driven models are computationally efficient and capable of capturing complex patterns, yet they often lack interpretability and fail to incorporate essential physical principles, reducing robustness and generalization. This disconnect between mechanistic understanding and computational practicality presents significant challenges in critical applications such as healthcare, where both physical accuracy and real-time performance are vital. To …


The Role Of Technology In Modernizing Prison Management Systems, Essa Anwahi Dec 2025

The Role Of Technology In Modernizing Prison Management Systems, Essa Anwahi

Theses

This thesis examines the role of technology in modernizing prison management systems and improving operational efficiency, security, and decision-making. It explores how digital technologies and data analytics can address challenges in traditional prison management, such as inefficient processes and limited data utilization. The study highlights the potential of technology-driven solutions to enhance system performance and support more effective management practices within correctional facilities.


Achilles, Sreelekha Samala Dec 2025

Achilles, Sreelekha Samala

Theses

ACHILLES is a speculative design project and conceptual artifact. It is not intended to function as a medically certified or biomechanically operational prosthetic arm. Instead, it operates within the realm of design research, using visual realism and luxury aesthetics to explore how assistive technologies could be perceived differently in cultural, emotional, and commercial contexts. Using 3D software to experiment with color, pattern, and texture, I designed a realistic mockup to demonstrate how Achilles could appear in a high-end commercial setting. Instead of animating the model, I focused on camera motion to highlight the prosthetic from multiple angles, emphasizing its sculptural …


Predicting Employee Attrition With Machine Learning: Data-Driven Strategies For Enhancingworkforce Retention, Ali Almheiri Dec 2025

Predicting Employee Attrition With Machine Learning: Data-Driven Strategies For Enhancingworkforce Retention, Ali Almheiri

Theses

In this research, the dual prediction and prescription model is developed and validated so that this model can not only predict employee turnover risk, but it also proposes the appropriate retention interventions, which apply across industries. On the basis of the IBM HR Analytics Attrition dataset (n=1,470), we preprocessed demography, job and satisfaction variables and trained three machine-learning classifiers, Random Forest, Logistic Regression and XGBoost to predict voluntary turnover. XGBoost model recorded the best discrimination (AUC=0.87), sensitivity (0.76), and specificity (0.81), which signifies strong predictive power. Analysis of feature-importance was conclusive with time, rate of frequent business travel and compensation …