Digital Commons Network^™

Individual, Social, And Environmental Factors Associated With Patterns Of Parasitic Infection In Capuchin Monkeys (Cebus Imitator), Megan C. Henriquez

Dissertations, Theses, and Capstone Projects

Parasites, and the infectious diseases they carry, are thought to have significantly impacted our evolutionary trajectory for millennia. Exploring how parasites are acquired and transmitted by their hosts in wild, natural populations is integral to understanding how similar processes may have shaped host-parasite co-evolutionary relationships over time. However, parasitological studies in humans and in non-human primates have produced inconsistent results, highlighting the dynamic, nuanced, and unique relationships individual parasites have with their hosts. These relationships are largely regulated by variation in factors at host, social, and environmental levels. Characteristics unique to the host (e.g., age and sex), factors pertaining to …

Tradwives: The Housewifization Of The Girl Boss, Gagan Kaur

Dissertations, Theses, and Capstone Projects

This thesis examines the reemergence of a particular performance of domesticity in the post-pandemic era, focusing on the rise of the "tradwife" (traditional wife) movement alongside the normalization and spread of Alt-Right ideology through popular social media platforms. It argues that the tradwife is not a return to tradition, but a commodified performance of domesticity built on the erasure of social reproductive labor. Tracing the lineage of the “housewife” from the enclosure of the commons to imperial domesticity and from the “girl boss” to tradwife influencer culture, this project situates the tradwife within a longer history of "housewifization"—wherein women's labor …

Decoding The Plant Metabolome: A Metabolomics Approach To Guereza (Colobus Guereza) Feeding Ecology In Kibale National Park, Uganda, Emma Grace Thurau

Dissertations, Theses, and Capstone Projects

Plant metabolites, an elusive and diverse group of plant chemicals, represent a complex chemical interplay between plants and herbivores. Plants contain essential nutrients necessary for herbivore survival, yet herbivore consumption results in negative fitness consequences to a plant. This relationship has triggered a coevolutionary arms race in which plants have evolved chemical defenses to prevent herbivore consumption and herbivores, in response, have evolved their own counter-adaptations. This arms race has led to the diverse numbers of herbivores and plants observed today; therefore, these plant metabolites act as a signature of evolution through their influence on herbivore adaptations. Plant metabolites are …

From Drama To Change: The Role Of Female-Led Egyptian Tv Dramas In Tackling Women’S Issues And Inspiring Youth, Myrna Bader

Theses and Dissertations

The media is widely recognized as a powerful tool for driving social change, shaping public opinion, and influencing societal discourse. In Egypt, it has played a critical role in addressing women’s issues, including discrimination and societal challenges, by raising awareness and either reinforcing or challenging societal issues. This paper examines the impact of female-led Egyptian TV dramas in addressing women’s issues, specifically taboos, stereotypes, and personal status laws. The paper aims to examine their potential to raise awareness, challenge cultural norms, and inspire youth-driven social change. To achieve its objectives, three female-led Egyptian TV dramas addressing specific women’s societal issues …

Irnet: Immunotherapy Response Prediction Using Pathway Knowledge-Informed Graph Neural Network, Yuexu Jiang, Manish Sridhar Immadia, Duolin Wang, Shuai Zeng, Yen On Chan, Jing Zhou, Dong Xu, Trupti Joshi

Biomedical Sciences

Introduction: Immune checkpoint inhibitors (ICIs) are potent and precise therapies for various cancer types, significantly improving survival rates in patients who respond positively to them. However, only a minority of patients benefit from ICI treatments.

Objectives: Identifying ICI responders before treatment could greatly conserve medical resources, minimize potential drug side effects, and expedite the search for alternative therapies. Our goal is to introduce a novel deep-learning method to predict ICI treatment responses in cancer patients.

Methods: The proposed deep-learning framework leverages graph neural network and biological pathway knowledge. We trained and tested our method using ICI-treated patients’ data from several …

Glacier Velocity Estimation Using Adaptive Search Window And Patch Size, Pratik Patil

Master’s Dissertations

Synthetic Aperture Radar (SAR) technology offers a robust solution for monitoring glacier surface motion, particularly in regions with challenging environmental conditions, since it do not dependence on time of day and weather. This paper presents an enhanced glacier motion monitoring approach based on a Deep Matching Network (DMN), which learns patch-pair correspondences in an end-to-end manner. Unlike traditional shallow feature tracking methods, DMN utilize deep feature similarity through a Siamese network architecture with dense connection blocks to maximize feature reuse and improve training efficiency. To further improve precision and reduce computational cost, the proposed method uses a variable search window …

Modeling And Verification Of Sigma Delta Neural Networks, Sirshendu Das

Master’s Dissertations

In the context of modern day embedded safety-critical systems and low-resource edge devices in particular, Sigma-Delta Neural Networks (SDNNs) offer a promising alternative to traditional Artificial Neural Networks (ANNs) by leveraging eventdriven, sparse computations inspired by biological neural processing. This energyefficient paradigm makes SDNNs well-suited for neuromorphic hardware and realtime applications, particularly in scenarios with temporal redundancy, such as video processing. However, as neural networks become integral to safety-critical systems, ensuring their robustness against adversarial perturbations is an absolute necessity. In this work, we propose an end-to-end framework for formal modeling and verification of SDNNs using Satisfiability Modulo Theory (SMT). …

Enhancing Expressive Power Of Graph Neural Networks Using Geometric Transformations, Suranjan Dey

Master’s Dissertations

Graph Neural Networks (GNNs) are highly effective in many real-world tasks, such as molecular property prediction, modeling protein structures, analyzing user-item relationships, and making link predictions. What sets them apart is their ability to learn meaningful representations by capturing not just the features of individual nodes, but also the overall structure of the graph they belong to. This expressive strength allows GNNs to model complex relationships more accurately. In this work, we take a step further by introducing geometric transformations aimed at improving how GNNs handle spatial information. In particular, we focus on angular aggregation methods that maintain rotational consistency, …

Universally Consistent Hyperbolic Deep Neural Networks, Sagar Ghosh

Master’s Dissertations

The ubiquitous pertinence of Deep Neural Networks has made it pivotal in modern Computer Science Applications, ranging from Computer Vision to Pattern Recognition and Machine Translation. Although these deep architectures are primarily based on Euclidean Spaces, Hyperbolic Neural Networks (HNN) gained traction in recent times to tackle more complex non-Euclidean data having inherent hierarchical structures. These HNN architectures have shown commendable improvements in test results on tree or graph-like data by exploiting the inherent exponential metric distances of hyperbolic spaces, making them more suitable to embed non-Euclidean data. Although HNNs surpass their conventional Euclidean counterparts by commendable margins, little to …

Whole-Exome Sequencing Identified Molecular Variants Linked To The Progression Of Gastric Precancerous Lesions In Patients From Southwestern Colombia—An Exploratory Approach., Lizeth Mejia-Ortiz, Jovanny Zabaleta, Jone Garai, Luis Eduardo Bravo, Andres Castillo

School of Graduate Studies Faculty Publications

No abstract provided.

Quality Of Life And Patient Experience In Black Women With Alopecia, Annyella Douglas, Jayson Suriano, Neda Nikbakht

Department of Dermatology and Cutaneous Biology Faculty Papers

No abstract provided.

Developmental Lead Exposure And Aggression In Male Rats: Influences Of Maternal Care And Environmental Enrichment, Shamaila Zafar, Courtney K. Williams, Jaehyun Joo, Blanca E. Himes, Jay S. Schneider

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

Developmental lead (Pb) exposure results in a variety of cognitive deficits and behavioral issues including increased antisocial behavior and aggression. This study investigated the effect of developmental Pb exposure on aggression and violent behavior in male rats and the potential modulatory influences of quality of maternal care and enriched/non-enriched housing conditions. Long-Evans male rats with or without Pb exposure (perinatal or early postnatal) from low or high maternal care mothers (based on amounts of licking/grooming and arched- back nursing) were randomly assigned to live in enriched or non-enriched environments at weaning. At post- natal day 120–190, offensive aggression was assessed …

On-Demand Scenario Generation For Testing Automated Driving Systems, Songyang Yan, Xiaodong Zhang, Kunkun Hao, Haojie Xin, Yonggang Luo, Jucheng Yang, Ming Fan, Chao Yang, Jun Sun, Zijiang Yang

Research Collection School Of Computing and Information Systems

The safety and reliability of Automated Driving Systems (ADS) are paramount, necessitating rigorous testing methodologies to uncover potential failures before deployment. Traditional testing approaches often prioritize either natural scenario sampling or safety-critical scenario generation, resulting in overly simplistic or unrealistic hazardous tests. In practice, the demand for natural scenarios (e.g., when evaluating the ADS's reliability in real-world conditions), critical scenarios (e.g., when evaluating safety in critical situations), or somewhere in between (e.g., when testing the ADS in regions with less civilized drivers) varies depending on the testing objectives. To address this issue, we propose the On-demand Scenario Generation (OSG) Framework, …

Patterns Of Dermatological Emergencies At A Tertiary Hospital In Southwestern Saudi Arabia: A Descriptive Study, Hamad A. Alfahaad

Saudi Medical Journal

ABSTRACT Objectives: To examine the patterns and characteristics of dermatological emergencies managed at a tertiary hospital in the Southwest Region of Saudi Arabia. Methods: This study employed a retrospective cross-sectional design conducted at King Khalid Hospital in Najran, Saudi Arabia. The study included patients who either visited the dermatology or emergency departments or were hospitalized due to dermatological conditions treated between January 2019 and December 2024. Results: The study included 126 patients, with an almost equal distribution of males (50.8%) and females (49.2%), predominantly Saudi nationals (78.6%). Most patients were aged 18-60 (65.1%) years. The most common skin lesion was …

Factors Influencing Pain, Anxiety, And Comfort In Patients Undergoing Coronary Angiography: A Prospective Observational Study, Ganime E. Soysal, Seyma Demir Erbas

Saudi Medical Journal

ABSTRACT Objectives: To investigate the factors associated with pain, anxiety and comfort in patients undergoing coronary angiography. Additionally, the relationship between pain, anxiety and comfort was examined. Methods: This observational study included 214 patients who underwent coronary angiography at Abant Izzet Baysal University Hospital in Bolu, Turkey, between October 2022 and December 2023. Demographic information, anxiety, and pain were recorded before and after the procedure, and comfort levels were recorded after the procedure. State-Trait anxiety inventory (STAI-State and Continuous), Paranesthesia Comfort Questionnaire (PCQ), General Comfort Questionnaire (GCQ) scales were used for analyses. Results: The patients were mostly male (67.3%) and …

Can Engaging In Social Activities Prolong Life?

Saudi Medical Journal

No abstract provided.

The Feasibility Of A Concise Online Anatomical Atlas For Nonmedical / Dental Healthcare Profession Education, Ming-Fong Chang, Chi-Chuan Yeh, June-Horng Lue, Chung-Liang Chien, Shu-Hao Hsu, Meng-Lin Liao

Journal of Medical Education

The web-based anatomical atlas of the National Taiwan University (NTU-WAA) was established in response to the reduction in teaching hours and reported to enhance the anatomy learning of nursing students. This study aimed to further analyze the use time over the entire semester and explore the learning outcomes of a large-scale cohort of students from seven nonmedical/dental healthcare professions using the NTU-WAA for their anatomy learning. The anatomy scores of lecture and laboratory examinations and questionnaires from 222 students were collected and analyzed. Participants were categorized into subgroups based on their self-report use time on NTU-WAA: less than 1 hour …

Cutting Through The Infodemic Efficiently: News Claims Surveillance And Llm-Based Lightweight Fact Verification, Xuan Zhang

Dissertations and Theses Collection (Open Access)

In the context of the current infodemic, the rapid spread of misinformation poses a severe threat to social stability and public health. Recently, the rise of deep learning technologies has offered the potential for accelerating the development of automated misinformation detection and verification. However, current technological capabilities and computational resources often prove inadequate for the exhaustive scrutiny required, rendering the enhancement of processing efficiency a critical imperative. Given the vast amount of data on the internet, current technology and computational power often fall short in timely and accurate scrutiny of each piece of information, making the improvement of processing efficiency …

Resilience In Stem: How Gender-Professional Identity Integration (G-Pii) And Self-Compassion Empower Women To Thrive, Isabelle Chiew

Dissertations and Theses Collection (Open Access)

Fostering resilience is crucial for the retention of women in male-dominated fields such as STEM. This paper investigates the interplay between gender-professional identity integration (G-PII), resilience, and self-compassion through two complementary studies. It is hypothesised that G-PII positively predicts resilience, with higher levels of integration associated with greater resilience. Furthermore, self-compassion is expected to moderate this relationship. Study 1 employs a cross sectional survey design to explore the relationships between G-PII, self-compassion, and resilience, while Study 2 uses an experimental design to assess the causal impact of G-PII on resilience. Study 1 found that G-PII was significantly and positively associated …

Is Less More? Maximizing Outcomes By Tailoring Treatments To Patients: Oncofertility And Oncomenopause, Janice S Kwon, Marie Plante, Martha Hickey, Annabelle Huguenin, Sarah Hmaidan, Terri Lynn Woodard

Faculty, Staff and Students Publications

Notable advances have been made in improving survival outcomes in various cancers, but some have incurred undesirable costs and effects to patients with respect to fertility and menopause. Patients are living longer with cancer, and patient reported outcomes are influencing decision-making by individuals and their health care providers. It is essential to evaluate existing standards of care on an ongoing basis and prioritize quality of life and long-term survivorship, particularly for interventions in early-stage cancers and risk-reducing strategies that often yield long-term life expectancy.

Twenty-Five Years Of Palivizumab: A Global Historic Review Of Its Impact On The Burden Of Respiratory Syncytial Virus Disease In Children, Xavier Carbonell-Estrany, Eric A F Simões, Louis Bont, Paolo Manzoni, Heather J Zar, Anne Greenough, Octavio Ramilo, Renato Stein, Barbara Law, Asuncion Mejias, Manuel Sanchez Luna, Paul A Checchia, Leonard Krilov, Marcello Lanari, Ron Dagan, Brigitte Fauroux, Bernhard Resch, Terho Heikkinen, Joseph B Domachowske, Joanne G Wildenbeest, Federico Martinon-Torres, Richard Thwaites, Merih Cetinkaya, Adel S Alharbi, Carlos E Rodriguez-Martinez, Daniel E Noyola, Asiah Kassim, Satoshi Kusuda, Ji-Man Kang, Barry Rodgers-Gray, Anna Platonova, Fungwe Jah, Bosco Paes

Faculty, Staff and Students Publications

Introduction: Respiratory syncytial virus (RSV) causes significant morbidity and mortality in young children. For 25 years, palivizumab has been the only effective pharmaceutical RSV preventive.

Areas covered: We summarize the development and a quarter-century of real-world evidence with palivizumab. We highlight its positive impact on the burden of RSV in high-risk children. Based on lessons learnt from its implementation, we suggest strategies for effective and equitable deployment of newer RSV preventives.

Expert opinion: Following failure of the formalin-inactivated RSV vaccine in 1967, RSV intravenous immunoglobulin was approved in 1996 after three decades' research. Subsequently, palivizumab emerged as the most effective …

Point-Of-Care Ultrasound For Guiding Pulmonary Artery Catheter Placement, Erik Su, Saul Flores

Faculty, Staff and Students Publications

No abstract provided.

Severe Gastrointestinal Manifestations In Childhood-Onset Lupus: A Single-Center Cohort And Review Of The Literature, James Orozco, Jessica Nguyen, Sara Mm Yasrebi, Marnie Blalock, Sara L Grisales, Craig L Jensen, Marietta M Deguzman

Faculty, Staff and Students Publications

Objective

Systemic lupus erythematosus (SLE) is a complex autoimmune condition with diverse manifestations. Childhood-onset SLE (cSLE) presents more severely than adult-onset disease with a higher incidence of severe neurologic or renal manifestations and lower estimated survival rates. There is limited literature on the range of severe gastrointestinal manifestations at presentation in cSLE, and this lack of information results in underappreciation of these potentially life-threatening complications and little guidance regarding management of these patients.

Methods

We reviewed cases of patients with cSLE and severe GI manifestations at presentation diagnosed at our institution and additionally provide a comprehensive review of existing cases …

Are Education, Socioeconomic Status, And Household Size Dependent Variables Influencing The Developmental Origins Of Inflammatory Bowel Disease?, Richard Kellermayer

Faculty, Staff and Students Publications

No abstract provided.

A Phenotypic Screen Identifies Xanthohumol And Other Flavonoids As Killers Of Bladder Cancer, Michael J Bolt, Jessica Oceguera, Alejandra Rivera Tostado, Christopher D Candler, Elina Mosa, Kazem Safari, Maureen G Mancini, Michael A Mancini

Faculty, Staff and Students Publications

Bladder cancer accounts for 4 % of cancer diagnoses in the US. Current treatments primarily involve trans-urethral resection of bladder tumors (TURBT) and immunotherapy with Bacille Calmette-Guerin (BCG). Despite the efficacy of TURBT, issues with residual tumors persist. We chose to utilize Cell Painting to screen a set of 244 flavonoid compounds for bladder cancer cell toxicity. Using multiparametric high content analysis termed SPACe, we discover promising candidates underscoring the potential of flavonoids in targeting bladder cancer cells and elucidating their mechanisms of action. Notably, compounds such as xanthohumol show promise in reducing cancer cell viability by altering lipid metabolism. …

G-Protein Coupled Receptors In Metabolic Reprogramming And Cancer, Songyeon Ahn, Benny Abraham Kaipparettu

Faculty, Staff and Students Publications

G-protein coupled receptors (GPCR) are one of the frequently investigated drug targets. GPCRs are involved in many human pathophysiologies that lead to various disease conditions, such as cancer, diabetes, and obesity. GPCR receptor activates multiple signaling pathways depending on the ligand and tissue type. However, this review will be limited to the GPCR-mediated metabolic modulations and the activation of relevant signaling pathways in cancer therapy. Cancer cells often have reprogrammed cell metabolism to support tumor growth and metastatic plasticity. Many aggressive cancer cells maintain a hybrid metabolic status, using both glycolysis and mitochondrial metabolism for better metabolic plasticity. In addition …

Mitral Annular Disjunction Is Associated With Ventricular Arrhythmias In Children With Marfan Syndrome, Carlos A Sanchez Parra, Ruthie M Vaughan, Alejandra Iturralde Chavez, Christina Y Miyake, Santiago O Valdes, Ricardo H Pignatelli, Anitha Parthiban, Shaine A Morris, Tam T Doan

Faculty, Staff and Students Publications

No abstract provided.

Plasma Microbial Cell-Free Dna Sequencing For The Detection Of Kingella Kingae Pediatric Spinal Infections, Asim A Ahmed, Sarah Y Park, Matthew J Smollin, Martin S Lindner, Adriana Sarmiento Clemente, Ana Del Valle Penella, P Marcelo Laufer, Carolina Sanchez-Vegas, Manuel R Cotilla, Marian E Melish, Connie Trieu, Nazia A Kabani, Joshua Cooper, Audrey R Lloyd, David W Kimberlin, John C Arnold, Alejandro Jordan-Villegas, Lori E Patterson, Catherine E Foster, Pablo Yagupsky

Faculty, Staff and Students Publications

Background: Diagnosis of Kingella kingae skeletal system infections is made challenging by the microbe's fastidious nature. Detection and quantification of circulating microbial cell-free DNA (mcfDNA) in plasma by the Karius Test, a commercial metagenomic sequencing test, may offer promise in diagnosing pediatric spinal infections caused by difficult-to-culture organisms such as K. kingae .

Methods: Plasma mcfDNA sequencing detections of K. kingae from April 2018 to December 2020 were reviewed to identify pediatric (age < 18 years) patients. Medical charts of those with spinal infections were reviewed, and mcfDNA sequencing diagnostic performance was compared with usual care tests (ie, cultures, polymerase chain reaction).

Results: Ten children with K. kingae spinal infections were identified across 7 institutions. The median age was 16.5 months (range 11-23 months). All case-patients had vertebral osteomyelitis …

Linking Symptom Inventories Using Semantic Textual Similarity, Eamonn Kennedy, Shashank Vadlamani, Hannah M Lindsey, Kelly S Peterson, Kristen Dams O'Connor, Ronak Agarwal, Houshang H Amiri, Raeda K Andersen, Talin Babikian, David A Baron, Erin D Bigler, Karen Caeyenberghs, Lisa Delano-Wood, Seth G Disner, Ekaterina Dobryakova, Blessen C Eapen, Rachel M Edelstein, Carrie Esopenko, Helen M Genova, Elbert Geuze, Naomi J Goodrich-Hunsaker, Jordan Grafman, Asta K Håberg, Cooper B Hodges, Kristen R Hoskinson, Elizabeth S Hovenden, Andrei Irimia, Neda Jahanshad, Ruchira M Jha, Finian Keleher, Kimbra Kenney, Inga K Koerte, Spencer W Liebel, Abigail Livny, Marianne Løvstad, Sarah L Martindale, Jeffrey E Max, Andrew R Mayer, Timothy B Meier, Deleene S Menefee, Abdalla Z Mohamed, Stefania Mondello, Martin M Monti, Rajendra A Morey, Virginia Newcombe, Mary R Newsome, Alexander Olsen, Nicholas J Pastorek, Mary Jo Pugh, Adeel Razi, Jacob E Resch, Jared A Rowland, Kelly Russell, Nicholas P Ryan, Randall S Scheibel, Adam T Schmidt, Gershon Spitz, Jaclyn A Stephens, Assaf Tal, Leah D Talbert, Maria Carmela Tartaglia, Brian A Taylor, Sophia I Thomopoulos, Maya Troyanskaya, Eve M Valera, Harm Jan Van Der Horn, John D Van Horn, Ragini Verma, Benjamin S C Wade, Willian C Walker, Ashley L Ware, J Kent Werner, Keith Owen Yeates, Ross D Zafonte, Michael M Zeineh, Brandon Zielinski, Paul M Thompson, Frank G Hillary, David F Tate, Elisabeth A Wilde, Emily L Dennis

Faculty, Staff and Students Publications

An extensive library of symptom inventories has been developed over time to measure clinical symptoms of traumatic brain injury (TBI), but this variety has led to several long-standing issues. Most notably, results drawn from different settings and studies are not comparable. This creates a fundamental problem in TBI diagnostics and outcome prediction, namely that it is not possible to equate results drawn from distinct tools and symptom inventories. Here, we present an approach using semantic textual similarity (STS) to link symptoms and scores across previously incongruous symptom inventories by ranking item text similarities according to their conceptual likeness. We tested …

Histologic- And Genomic-Directed Adjuvant Therapy For Ampullary Adenocarcinoma: A Hidden Genome-Derived Analysis, Brett L Ecker, Kenneth Seier, Ankur Choubey, Austin M Eckhoff, Gabriella N Tortorello, Vinod P Balachandran, Nicola Blackburn, Michael I D'Angelica, Ronald P Dematteo, Daniel G Blazer, Jeffrey A Drebin, William E Fisher, Anthony J Gill, Marie-Claude Gingras, T Peter Kingham, Major K Lee, Michael E Lidsky, Daniel P Nussbaum, Michael J Overman, Jaswinder S Samra, Ronglai Shen, Carlie S Sigel, Charles M Vollmer, Alice C Wei, Sabino Zani, Australian Pancreatic Genome Initiative, Robert E Roses, Mithat Gonen, William R Jarnagin

Faculty, Staff and Students Publications

Background: The benefit of adjuvant chemotherapy (AC) for ampullary adenocarcinoma is unclear. The Hidden Genome model classifies prognostic subtypes with greater accuracy than standard histologic classification (intestinal [INT] vs pancreatobiliary [PB]), but its predictive capacity to guide the use of AC remains unstudied.

Methods: We applied the Hidden Genome model to an international cohort of 183 patients with resected ampullary adenocarcinoma who underwent genomic sequencing. The model quantified the predicted cell of origin (colorectal vs pancreas/distal bile duct) in all specimens. Overall survival (OS) was compared using Kaplan-Meier estimates, stratified by AC use versus surgery alone (SA).

Results: Most patients …