Digital Commons Network^™

Sound Detection Of Memory Leaks In Llvm Ir Programs Using Accumulation Analysis, Robert Blacha

Theses

Resource leaks occur when a limited resource such as memory is allocated by a program and needlessly held past the point of use. Leaks can lead to a degradation of services which can be specifically triggered with malicious behavior, for example abusing a memory leak in a program to cause a server to slow down and crash for a denial-of-service attack.

Prior work has demonstrated that accumulation analysis provides a sound detection of resource leaks with a working implementation for programs written in Java. While useful, current implementations are limited to programs written in Java, which has a garbage collector, …

Adaptive Multimodal Smart Home Control On A Raspberry Pi 5 Using Hand Gestures, Voice Cues, And User Feedback, Vaibhav Bora

Theses

A real time multimodal smart home control system deployed on a Raspberry Pi 5 is presented. The system combines hand gestures, short voice cues, and proximity aware interaction to execute household commands such as light brightness control, fan speed adjustment, and stop or kill switch actions. Lightweight gesture and keyword spotting voice classifiers were trained offline and exported to TensorFlow Lite for efficient on device inference. For more natural spoken phrases, the system additionally integrates a locally deployed pretrained offline ASR component rather than a speech recognizer trained from scratch. Using a USB camera and microphone, the system operates fully …

Evaluation Of Medical Instrument Reliability For The Heath And Maddox Components Of The Accommodative-Vergence System, Jacob Chabuel

Theses

Binocular vision relies on the coordination of near response triad composed in part by the vergence and accommodative systems. Binocular dysfunctions linked to these systems impact the quality of life of those affected by complicating day-to-day tasks and leading to further health concerns. Clinical evaluations that diagnose dysfunctions and tailor therapies rely on subjective methods, creating a need for a reliable, quantitative, measurement tool. This is achieved using a haploscope, a tool that quantitatively measures and observes binocular vision to identify deficiencies within the eye. Modernization of a haploscope system, measurement of the Heath and Maddox components of the visual …

Autonomous Exploration Of An Environment With Static Obstacles Using A Ppo Agent, Brandon Knight

Theses

Research in autonomous exploration has created many effective algorithms that have been tested and proven to work in many different virtual and physical environments. Many optimizations have also been developed to reduce computational effort and increase exploration speed.

However, despite optimizations, these algorithms can still require considerable computational effort and time to explore even small environments. To obtain further improvements in computation and exploration speed, a reinforcement learning agent using actor-critic style proximal policy optimization (PPO) is trained to explore various environments efficiently, then compared to an algorithm using contemporary exploration methods.

Testing is performed in virtual environments with ideal …

Pypitfall: Dependency Chaos And Supply Chain Vulnerabilities In Python, Jacob Mahon

Theses

Python software development heavily relies on third-party packages. Direct and transitive dependencies create a labyrinth of software supply chains. While it is convenient to reuse code, vulnerabilities within these dependency chains can propagate through dependencies, potentially affecting downstream packages and applications. PyPI, the official Python package repository, hosts many packages and lacks a comprehensive analysis of the prevalence of vulnerable dependencies. PyPitfall, a quantitative analysis of vulnerable dependencies across the PyPI ecosystem, is introduced. The dependency metadata of 378,573 PyPI packages is analyzed. 4,655 packages that explicitly require a known vulnerable package version and 141,044 packages that permit a vulnerable …

Retinomorphic Mid-Wave Infrared In-Sensor Processing Engine: Device-To-Architecture Co-Design, Hemalatha Nagaraju

Theses

Conventional frame-based CMOS image sensors acquire full-frame pixel data at discrete time intervals, resulting in substantial spatial redundancy and loss of temporal information between frames. The repeated conversion and transfer of redundant pixel data increases bandwidth and power consumption in machine vision systems. Retinomorphic sensing architectures address these limitations by enabling programmable, analog-domain processing directly at the sensor interface. A compact behavioral model of the PbSe device is developed in HSPICE based on calibrated TCAD simulation data to capture gate-controlled photocurrent modulation under varying illumination and gate bias conditions. Error analysis is performed to quantify the deviation between TCAD-generated photocurrent …

Robustness Of Ai-Driven Histopathology Under Real-World Adversarial Examples, Ruchik N. Yajnik

Theses

This robustness of histopathology classification models under adversarial and real-world perturbations resembling clinical artifacts is being investigated.

Using whole-slide images from the CAMELYON17 cohort, four representative architectures—ResNet-18, ResNet-50, HIPT-2MLP, and ViT-B/16 —are benchmarked across controlled pixel-level distortions and artifact-like transformations. Adversarial methods include iterative Fast Gradient Sign, Projected Gradient Descent, Salt-and-Pepper noise, and the Adversarial Watermark—Stain Shift (AWSS). Three defense strategies—Randomized Smoothing, Adversarial Training, and an Artifact Detector—are evaluated for their ability to preserve diagnostic accuracy and model reliability. Structured perturbations consistently degrade performance, with transformer-based models showing the greatest sensitivity. The benchmark developed here offers a reproducible framework for …

Machine Learning-Driven Prediction And Mechanistic Insight Into Co2 Adsorption On Biomass-Derived Activated Carbons Using Explainable Ai (Xai), Dalia A. Ali Dr.

Chemical Engineering

To improve CO2 uptake in Biomass-Derived Activated Carbon (BDAC), this study develops a multiscale hybrid digital twin framework. By integrating microscopic descriptors from Density Functional Theory and Molecular Dynamics (DFT/MD) with experimental data from 63 chemically diverse biomass precursors, a Gaussian Process Regression (GPR) model was developed using the Materń 5/2 Automatic Relevance Determination (ARD) kernel. The framework achieved high internal training accuracy (R2 = 0.968) and Root Mean Square Error (RMSE = 0.2552), while providing a realistic generalization baseline across heterogeneous precursors with a 5-fold Cross Validated (CV) R2 of 0.1567 and CV RMSE of 0.283. Explainable Artificial Intelligence …

Developing The Evidence And Associated Service Models To Support Older People Living With Frailty To Manage Their Pain And To Reduce Its Impact On Their Lives: A Mixed Method, Co-Design Study (The Poppy Study).: The Poppy Study, Lesley Brown, Deborah Antcliff, Andrew Clegg, Anne Grice, Pat Schofield, Asim Suleman, Amanda Williams, Nikki Harrison, Nicky Kime, Alan Wright, Natalie Lam, Dan Howdon, Davide Tebaldi, Rahena Mossabir, Sarah Hallas, Thomas F Crocker, Anne Forster

School of Nursing and Midwifery

Background: Frailty increases vulnerability to adverse events (falls, illness) resulting in poorer health outcomes in later life. Persistent pain is common and impactful in older adults with frailty. Pain impact is potentially modifiable, and addressing it is important for supporting this population. The Pain in Older People with Frailty study aimed to generate evidence and develop service models to improve pain management for older adults with frailty and inform service provision for this underserved population. Objective(s): Phase 1: Map research evidence and synthesise findings from randomised controlled trials of multi-component pain management programmes and psychological therapies for community-dwelling older adults. …

Enhancing Physiological Complexity Through Mindfulness: A Wearable-Based Intervention For First Responders And Their Partners, Thurmon Lockhart, Rahul Soangra, Christopher W. Frames, Sun-Kyung Lee, Amberlee Martin, Susanne Lee, Abigail H. Gewirtz

Physical Therapy Faculty Articles and Research

Background/Objectives: First responders frequently encounter high-stress environments that challenge physiological resilience and autonomic regulation. Heart rate variability (HRV) complexity is a critical marker of adaptive capacity and stress regulation. This study assessed the impact of a wearable-based mindfulness intervention on HRV complexity among first responders using a smartwatch. Methods: A total of 87 first responders participated in a one-month wearable-based intervention. Participants wore Garmin Vivosmart 5 devices to continuously collect PPG data (photoplethysmogram), focusing on beat-to-beat intervals (BBIs). The intervention involved daily Ecological Momentary Assessments (EMAs) and individual randomization to either a mindfulness message, a prompt to access an audio …

Electrospun Nanofiber Scaffolds For In Vitro 3d Tissue Engineering, Victoria E. Santillan, Samerender Nagam Hanumantharao, Stephanie Bule, Ronish M. Shrestha, Carter Rodzik, Alan Mendoza Estrada, Stephen L. Farias, Marina Tanasova, Smitha Rao

Michigan Tech Publications

Tissue engineering is widely used in research for investigating cellular proliferation, behavior, and responses to various stimuli. However, the predictive value of preclinical studies using cell culture plates is limited by the inability to recapitulate the complexity of the physiological microenvironment. Synthetic three-dimensional (3D) scaffolds can be engineered to mimic the complex morphology of the extracellular matrix of native tissues and can serve as physiologically relevant platforms for preclinical studies. In this study, 3D electrospun scaffolds were characterized to aid in breast cancer research. Unlike previous studies that focused primarily on scaffold fabrication or cell viability, this work systematically evaluates …

Drilling Fluid Enhancement Via Addition Of Sustainably Synthesized Nanoparticles, Hasan A. Abbood, Sarmad Al-Anssari

Research outputs 2022 to 2026

The addition of nanoparticles to the drilling fluids for geological projects is a promising application for enhancing the stability, rheological properties, and overall performance of the mud. This study aims to thoroughly analyze and compare the effects of silica and alumina nanoparticles on the properties and effectiveness of polymer drilling mud. Silica and alpha-alumina nanoparticles were synthesized using the sol-gel process and characterized through several techniques, including X-ray diffraction, Fourier-transform infrared spectroscopy, field-emission scanning electron microscopy, and atomic force microscopy. The effects of silica and alumina nanoparticles on various properties of drilling mud were then measured using a permeable plugging …

Ai-Based Simulated Patient Encounters For Clinical Reasoning: A Needs Assessment, Alex Sorrick, David Liebovitz, Sarah Vick, Andrew S. Parsons, Brian W. Locke, Jonathan Herskovitz, Cory Rohlfsen

Graduate Medical Education Research Journal

Background. Artificial Intelligence (AI) offers an opportunity to enhance formative assessment of clinical reasoning skills. Traditionally, these skills have been assessed through workplace-based assessment or simulated patient encounters, both of which are limited by variability in case exposure, faculty resources, scheduling logistics, and cost. AI-based simulated patient encounters provide a scalable solution for convenient, low-stakes practice. At the University of Nebraska Medical Center (UNMC), we piloted an AI-based simulated patient case and conducted a needs assessment to explore current practices and user experiences.

Methods. From June to August 2025, participants trialed an AI-based simulated patient case and received feedback on …

A Literature Review Of Burnout And Associated Tools In Residency Programs, Foluso Obisanya, Fatima Mncube-Barnes, Kudiratu A. Proctor, Charles A. Mcdaniel, Donna M. Alexander, Tyrece D. Hunter

Graduate Medical Education Research Journal

Background. Burnout poses considerable challenges in workplaces, particularly for resident physicians. This intricate phenomenon stems from a myriad of factors that include, but are not limited to, staff shortages, excessive workloads, specific job responsibilities, work environments, and individual psychological factors. The Accreditation Council for Graduate Medical Education encourages institutions to incorporate wellness as a fundamental component of residency training programs.

Methods. The aim of this review was to investigate burnout among resident physicians via a comprehensive literature review to elucidate this significant issue and identify potential preventative intervention strategies. We analyzed the issue of burnout across various residency specialties, providing …

Recent Progress In Aircraft Structural Health Monitoring: Sensors, Data And Intelligence, Abeer Kadhum Abd, Qasim Abbas Atiyah, Imad Abdulhussein Abdulsahib

Engineering and Technology Journal

Structural Health Monitoring (SHM) systems are essential technologies that contribute to enhancing the safety, reliability, and efficiency of aircraft structures throughout their operational lifespan. With the increasing use of lightweight materials and complex structural designs, coupled with longer maintenance intervals, traditional scheduled inspection methods have become insufficient, leading to a shift towards continuous, sensor-based monitoring systems. This research aims to provide a systematic and comprehensive review of the latest developments in aircraft structural health monitoring, focusing on sensing technologies, data collection methods, and intelligent processing techniques based on artificial intelligence. This study is based on a systematic analysis of the …

Towards Sustainable Agentic Artificial Intelligence In Medical Diagnosis For Autonomous Heart Disease Prediction, Thura J. Mohammed, Dhiaa M. Abed

AUIQ Humanities and Social Sciences

Diagnosis of heart disease is a procedure that requires fast, accurate predictions and conventional fixed machine learning (ML) pipelines may not fully accommodate. Although models, such as Logistic Regression and Naïve Bayes are effective on structured clinical data however they do not have self-assessment or adaptive reasoning mechanisms. In this work, we present an agentic AI framework that turns the classical models into self-evaluating diagnostic agents managed by a performance conscious supervisory component. We trained and tested the system on the UCI Heart disease dataset over three different splits (70:30, 80:20, 85:15) to test its diagnostic stability with respect to …

Debatrix, Vivienne Lu, Huy Ngo, Luke Ponssen, Jonathan Preiss, Ryan Rani

Computer Science and Engineering Senior Theses

Developing public-speaking skills remains a persistent challenge in formal education, constrained by limited instructional time and the lack of scalable, individualized feedback. Existing automated tools address only narrow aspects of this problem, offering text-based coaching against rigid rubrics that fail to capture argument quality, evidence use, or real-time rebuttal skill. This thesis presents Debatrix, an AI-powered platform that enables K-12 students, university learners, and independent self-studiers to debate an intelligent opponent. The system combines automatic speech recognition, large language model-driven rebuttal generation, and a multi-dimensional rhetorical analysis engine that evaluates argument structure, evidence integration, and persuasive technique. Users receive explainable …

Fda Approval Of Etripamil For The Treatment Of Paroxysmal Supraventricular Tachycardia, Kiley Devoll, Daniella Egbujor, Katy Grainger, Katherine Cook, Victoria Niese, Connor Dains, Brenna Hissong, Andrew Roecker

Pharmacy and Wellness Review

Paroxysmal supraventricular tachycardia (PSVT) is characterized by sudden, brief, intermittent episodes that result in a heart rate of 150 to 250 beats per minute (bpm). PSVT is difficult to diagnose, making proper treatment challenging. According to the 2015 American Heart Association (AHA)/American College of Cardiology (ACC)/Heart Rhythm Society (HRS) guidelines, current pharmacologic recommendations for PSVT include adenosine, verapamil, diltiazem, or nonpharmacologic vagal maneuvers.¹ These treatments each have a variety of adverse effects, contraindications, and dosing considerations, which highlight a need for novel therapies for the acute treatment and maintenance of PSVT.¹ The NODE-301 trial assessed the safety and …

Making Kinship With Plants And The Multiple Meanings Of Care In Amazonian Indigenous Gardens, Ana Gabriela Morim De Lima

Tipití: Journal of the Society for the Anthropology of Lowland South America

This paper focuses on the bonds of kinship and care between humans, cultivated plants, and other-than-human beings in Indigenous gardens, myths, rituals, and shamanism, across Lowland South America. Drawing on Krahô ethnography and a review of ethnological literature, it highlights the contributions of Americanist ethnology to wider debates about multispecies relation, particularly with regard to vegetal agency. By exploring the ambivalent meanings of care- such as “caring,” “raising,” and “nurturing,” as well as “being careful,” “having respect,” and “taking precautions”- I examine how kinship relations between humans and their cultivated plants are made through care and unmade through its absence …

Clinician Perspectives On Fistula Mental Health, Victoria K. Leonard

Doctoral Dissertations

Background – Obstetric fistula is a childbirth injury caused by prolonged labor that leads to stillbirth and incontinence, spurring social exclusion and isolation. These layers of trauma put women with fistula at great risk for psychological suffering, which has profound negative socioeconomic impacts on them, their families, and communities. This study captured treatment as usual at Comprehensive Community Based Rehabilitation in Tanzania (CCBRT), the country’s largest provider of fistula care.

Method – Improving holistic fistula treatment requires engaging the clinicians who care for women with fistula. This study aimed to investigate the training, beliefs, and treatment approaches of nurses and …

Mri-Based Deep Learning Radiomics Model For Automated Classification Of Disc Degeneration In The Lumbar Spine, Shiv Patil, Om Gandhi, Mert Karabacak, Matthew Carr, Konstantinos Margetis

Student Papers, Posters & Projects

Disc degeneration in the lumbar spine is a major cause of low back pain (LBP). The accurate grading of disc degeneration on magnetic resonance imaging (MRI) is critical for clinical management and patient selection for spine surgery. This study aims to develop and evaluate machine learning (ML) models that combine features from deep learning (DL) and radiomics for the automated prediction of Pfirrmann grade (PG), a measure of disc degeneration, using multi-parametric lumbar spine MRI. Sagittal T1, T2, and T2 SPACE MRIs of 218 patients with LBP were acquired from the SPIDER dataset. For each intervertebral disc and available sequence, …

On The Brink Of Silence: Ethnographic Perspectives On Hunting And Forest Life Among The Awa Guajá In Eastern Amazonia, Uirá Garcia

Tipití: Journal of the Society for the Anthropology of Lowland South America

The central theme of this article basically resides in the relationship established by indigenous peoples between their hunting practices and the forest. Indigenous ways of connecting ‘hunting’ and ‘forest’ necessarily pass through other modes of knowing, only marginally – if it all – dependent on vision. On the contrary, sounds, smells and even dreams are, for many South American indigenous collectives, more trustworthy indices than what the eye sees. This article divides into two parts. In the first, I set out the main ideas related to the anthropological study of hunting in Amazonia at a conceptual level. In the second, …

A Call To Action: Towards A Compendium For Culturally Responsive And Inclusive Pain Management, Arvie Vitente, Rob Sweet, Lester Jones

Philippine Journal of Physical Therapy

Introduction: Pain is a pervasive global health problem, yet its assessment and management remain shaped by biomedical, monolingual, and culturally narrow assumptions that do not fully reflect the lived realities of diverse populations. Although contemporary pain science recognizes pain as a personal experience influenced by biological, psychological, and social factors, inequities persist across racial, ethnic, linguistic, and cultural groups.

Main Body: These inequities affect how pain is expressed, interpreted, documented, and treated, particularly among Indigenous peoples, migrants, refugees, and patients with limited English proficiency. In this perspective, we call for the development of a comprehensive compendium on culturally responsive and …

Leveraging Social Media Recruitment In Health Science Education: A Scoping Review, Crystalyn Richard, Natalie Nguyen, Luong Thien Nguyen, Alison Hansen

Philippine Journal of Physical Therapy

Background: Equitable recruitment practices are essential to the diversification of health science educational applicant pools. This scoping review aimed to understand the existing literature supporting the use and implementation of SM (SM) for recruitment in various health science educational programs. Methods: A comprehensive search utilizing the PRISMA Extension for Scoping Reviews (PRISMA-ScR) framework was used to collect and analyze existing articles. Keyword selection followed by an iterative process for article inclusion using Covidence application for article analysis and inclusion/exclusion. A thematic analysis method was employed to synthesize findings from the studies that met our inclusion criteria. Results: The initial keyword …

Between The Root And The Stem: On Women-Plant Relations, Predation And Familiarisation Among The Awajún (Upper Amazonas, Peru), Nils Haukeland Vedal

Tipití: Journal of the Society for the Anthropology of Lowland South America

What to do with the problem of predation? This is not only a conundrum for anthropologists working in what has become known as animist societies. The gardening activities of the Awajún people of northern Peru’s high jungle are modelled on the teachings of the original mother of cultivated plants, Núgkui, who granted the Awajún their cultivars. Yet gardening is not an easy matter. The manioc sprouts seek to suck the blood of gardeners unless they are treated correctly. This article explores how predation is constantly kept at bay through familiarisation practices in which garden plants are made into the vegetative …

Making Noise Through Law: Indigenous Legal Mobilisation Against A Power Plant In “French” Guiana, Pierre Auzerau

Tipití: Journal of the Society for the Anthropology of Lowland South America

In so-called “French” Guiana, or Guyane, the Kali’na village of Atopo Wipi has fought for years against a hydrogen power plant being built on their land. Drawing on ethnographic fieldwork conducted between 2023 and 2024 in Guyane and Western Europe, where I collaborated with various stakeholders to support Atopo Wipi’s resistance to the power plant, my research focuses on the legal dimensions of the Kali’na’s struggle to protect their land. Specifically, this article examines how the Kali’na navigated different normative frameworks, including international human rights standards and French law, to fight the project. Through this analysis, I show how the …

Working Out Your Self-Image: Strength, Self-Esteem, And Human Flourishing, Kingston K. Christie

Honors Projects

This project integrates empirical research in exercise science with theological anthropology to examine the psychological effects of resistance training and the meaning of strength within a Christian framework of human dignity and flourishing. The empirical component investigated the effects of a four-week progressive resistance training intervention on global self-esteem and physical self-concept among undergraduate university students with moderate-to-low baseline self-esteem. Eleven participants (N = 11; 20.15 ± 1.52 yrs) completed the Rosenberg Self-Esteem Scale (RSES) and Physical Self-Description Questionnaire Short Form (PSDQ-S) before and after the intervention, with muscular strength assessed via submaximal testing across the squat, bench press, deadlift, …

Customary Forest Management Based On Cultural Spatial Tripartite Scheme In Tenganan Pegringsingan, Aloysius Gonzaga Dimas Bintarta Raharja, M. Baiquni, S. Setiadi

Forest and Society

The customary forest of Tenganan Pegringsingan in Karangasem, Bali, received the Customary Forest Decree from the Ministry of Environment and Forestry in 2019 as a part of Social Forestry implementation. This decree marked the beginning of granting rights to manage the customary forest for the traditional village in Bali. The Tenganan Pegringsingan indigenous community manages their customary forest through a traditional bureaucratic scheme, employing the authority of Krama Desa and a set of customary laws (awig-awig). Krama Desa acts as the governance authority for the utilization of the Tenganan Pegringsingan customary forest, involving two parties: the inheritance rights …

Impetus 2025 – The Philippine Physical Therapy Association (Ppta) National Convention: Poster Presentations, Impetus 2026

Philippine Journal of Physical Therapy

No abstract provided.

Impetus 2025 – The Philippine Physical Therapy Association (Ppta) National Convention: Platform Presentations, Impetus 2026

Philippine Journal of Physical Therapy

No abstract provided.