Digital Commons Network^™

Inherited Wounds: Navigating Intergenerational Trauma Through Cooperative Play, Ayza Sheikh

Theses and Dissertations

'Strength' for Pakistani women is often defined as compromise, sacrifice, and silence. This definition has shaped intergenerational struggles in which women's self-narratives are constructed through suppression. Inherited Wounds seeks to address the trauma of suppression by creating a safe space for expression that fosters reflective and emotion-driven dialogue between Pakistani mothers and daughters.

Using interactive storytelling and embodied play, I developed a choice-based, narrative-driven video game and accompanying gesture-based controller. The game unfolds across childhood, marriage, and motherhood, mirroring the cycle of intergenerational struggle. Navigating choices in the game requires physical, intimate cooperation. The game uses the protagonist’s life as …

Rare Variant Analysis Of Electronic Health Record-Defined Major Depressive Disorder In The All Of Us Research Program, Stephen Emil Vieno

Theses and Dissertations

The underlying pathogenesis of MDD remains poorly understood, with multiple competing hypotheses regarding its exact etiology. As a heterogeneous disorder with relatively low heritability, large-scale genome-wide association studies of MDD have relied on increasingly large sample sizes to identify common genetic variants associated with the disorder. However, the rare variant genetic architecture of MDD is still largely unknown. The aim of the present analysis was to use the AoU—a United States-based biobank that integrates healthcare records from over 50 healthcare systems and possesses whole genome sequencing data for participants—to perform a gene set–based analysis of MDD. This analysis presented several …

20 Years Of Light Pentaquark Searches, Moskov Amaryan

Physics Faculty Publications

In this paper, I pay tribute to my exceptional colleagues and friends Dmitri Diakonov, Victor Petrov, and Maxim Polyakov by examining the experimental progress and current status of the searches of the ϴ⁺ pentaquark from its inception to the present.

Epithelial Responses And Remodeling In The Submandibular Gland Post-Irradiation, Victoria Gellatly

Electronic Theses & Dissertations (2024 - present)

Radiation therapy for head and neck cancer often causes irreversible salivary gland dysfunction, resulting in chronic xerostomia. Understanding the cellular and molecular mechanisms underlying this dysfunction is essential for developing regenerative therapies. Given the cellular complexity of the salivary gland single-cell RNA sequencing (scRNA-seq) provides a powerful approach to investigate cell-type-specific injury responses to ionizing radiation (IR) and uncover transcriptional changes that may be masked in bulk analyses. This study investigates the cellular and molecular responses of the murine submandibular gland (SMG) to irradiation, with a focus on epithelial loss and remodeling, and regenerative failure. In order to effectively use …

Applying The Ecological Model Of Medical Encounters To Understand Patient-Centered Communication For Older Korean Migrants In The U.S., Seulgi Park

Electronic Theses & Dissertations (2024 - present)

Patient-Centered Communication (PCC) is defined as an approach that places patients at the center of communication with healthcare providers. PCC has been recognized as a strategy to address disparities experienced by minority populations. However, despite its associations with positive health outcomes and ethical significance, there has been a paucity of research on PCC in minority populations such as older Korean migrants in the U.S. Understanding PCC within this group may contribute to improving healthcare communication tailored to their needs. This dissertation aimed to (1) explore the expectations of PCC in primary care settings among older Korean migrants in the U.S., …

La Enseñanza Del Arte A Estudiantes Con Trastorno De Déficit De Atención: Una Aproximación Fenomenológica Desde La Perspectiva Docente, María Torres Guzmán

Theses and Dissertations

Esta disertación aplicada se diseñó con el propósito de explorar, describir y entender las experiencias fenomenológicas de los docentes en la enseñanza del arte a estudiantes diagnosticados con Trastornos de Déficit de Atención (TDAH). Se documentaron las vivencias, se explicaron las experiencias y se describieron los problemas que enfrentan los docentes en su proceso de enseñanza a los estudiantes con TDAH. El marco teórico empleado fue la Teoría de las Inteligencias Múltiples de Howard Gardner, que plantea la existencia de ocho inteligencias que son la musical, la corporal cinestésica, lingüística, lógico-matemática, espacial, interpersonal, intrapersonal y naturalista.

Esta investigación tuvo un …

Perceptions Of Victims On The Influence Of Domestic Violence Programs On The Decision To Leave, Tiffany Kleiman-Bourdeau

Theses and Dissertations

Dating back to earlier times, domestic violence was referred to as marital disputes and was not even considered a crime by law enforcement. However, that has since changed and now individuals are convicted for such crimes against another person. There are several treatment plans and options for these abusive individuals to take to receive the help they need to refrain from being abusive towards others, but what of the victims? What programs and/or services are available to them? Do these services even help the victims? This Idea Paper will examine the effectiveness of the programs and services available to domestic …

Regenerating Justice: Chatgpt And The Legal Minefield Of Generative Ai, Katie Szilagyi

Canadian Journal of Law and Technology

This paper adopts an automation bias lens to cast doubt on the growing claims that GenAI is a transformational tool for legal industry. In this context, automation bias refers to the well-known psychological phenomenon in which human decision-makers unwittingly defer to automated processes, flowing from overreliance on the accuracy of the automation. Even well-meaning individuals aiming to keep a “human-in-the-loop” of any automated decision can fall prey to this well-documented phenomenon, trusting the technology more than it deserves to be trusted. Champions for current GenAI technologies often do acknowledge limitations within the existing landscape of tools, like GenAI’s tendency to …

Masthead & Table Of Contents

Dalhousie Law Journal

No abstract provided.

Applications Of Uav In Landslide Research: A Review, Boneng Chen, Jeremy Maurer, Weibing Gong

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Uncrewed aerial vehicles (UAVs), commonly known as drones, have gained significant popularity in landslide research due to their operational flexibility, near real-time planning capabilities, cost-effectiveness, high-resolution data outputs, and enhanced safety. This review aims to provide an analysis of UAV-based landslide investigation methodologies and their applications. It begins with an examination of UAV platforms and UAV-equipped sensors employed in landslide research, evaluating their advantages and limitations to guide appropriate platform and sensor selection. The review then explores UAV applications across three primary landslide investigation domains: landslide mapping, landslide monitoring, and landslide hazard assessment, highlighting some representative achievements in each domain. …

Visual Understanding Of Rock Wettability Distribution To Contact Angle Regions And Oil Displacement Patterns In The Silty Sand Reservoir Via 2d Pore-Scale Modeling, H. Al-Ajaj, W. Al-Bazzaz, Ralph E. Flori, S. Alsayegh, H. Almubarak, D. S. Ibrahim, H. Al-Saedi

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

This study, conducted using a silty sand reservoir rock extracted from a Kuwait-producing oilfield, provides crucial insights into fluid distribution patterns and mineralogy, as well as wettability contact angle preferences. The method used for visual identification not only captures rock physics but also suggests effective oil recovery displacement strategies. Visual identification is presented using 2D image technology and a Scanning Electron Microscope (SEM). Analytical data are presented from electron bombardments and backscattering reflections collected in the BSE detector. These analyses were used to characterize the various surface boundary morphology parameters of the silty sand mineral surfaces, including area, perimeter, mineral …

Integration Of Physics-Informed Neural Networks And Transfer Learning For Rainfall Induced Landslide Forecasting, Shian Cao, Weibing Gong

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Rainfall-induced landslides are a significant geological hazard, causing severe economic losses and casualties. Accurate forecasting of these events is particularly challenging due to the complex interactions of spatial and temporal factors governing slope stability. The Iverson model, which uses the Richards equation to describe water infiltration in unsaturated soils, is a widely adopted framework for analyzing rainfall-induced landslides. However, its reliance on traditional numerical methods limits its scalability and efficiency, particularly for complex boundary conditions and transient behaviors near slope failure. To address these limitations, we propose a physics-informed neural network (PINN) enhanced with transfer learning (TL-PINN) to solve the …

Investigation Of Dynamic Adsorption And Desorption Of Polymer Nanogel In Porous Media Through Microfluidics, Junchen Liu, Fuqiao Bai, Abdulaziz A. Almakimi, Mingzhen Wei, Xiaoming He, Ibnelwaleed A. Hussein, Baojun Bai

Mathematics and Statistics Faculty Research & Creative Works

Understanding the transport and retention of elastic nanogel and microgel particles in porous media has been a significant research subject for decades, essential to the application of enhanced oil recovery (EOR). However, a lack of dynamic adsorption and desorption studies, in which the kinetics in porous media are seldom investigated, hinders the design and application of polymer nanogel in underground porous media. In this work, we visualized and quantified the transport and dynamic adsorption of polymer nanogel in 3D glass micromodels that were manufactured by packing glass beads in capillaries. Calibrating the linearity of fluorescence intensity to concentration, we calculated …

A Novel Technique For Improved Measurement Of Graphite And Inclusions In Ductile Iron Contaminated By Boron, Chase Schroeder, Colleen Lehrer, Simon Lekakh, Laura Bartlett

Materials Science and Engineering Faculty Research & Creative Works

The highly heterogeneous microstructure of ductile iron in casting includes graphite particles, non-metallic inclusions, microporosity, and other features, such as carbides distributed in the ferrite–pearlite matrix. Determination and comprehensive quantification of microstructural features are practically important however challenging. An advanced methodology based on an automated SEM/EDX analysis was developed and compared to the standard optical imaging method. In addition to backscattered electron contrast, sensitive to atomic number, a novel methodology added EDX data to identify and classify the multiple structural features at micron resolution thresholding. To quantify the shape of individual phases, the eight chord raster algorithms was used and …

Introducing Triangular Groups And Further Results On Magic Groups, Nicholas Charles Fleece

Doctoral Dissertations

In this research, we discuss two new topics in group theory. First, we define an n-magic square in a group to be a nxn array of group elements whose rows, columns, and diagonals have the same product. This definition is akin to the idea of magic squares in the integers. Groups that have an n-magic square are said to be n-magic. We begin with some preliminary results and focus much of our attention on 3-magic groups, though we also give some results for higher n. Through a series of propositions, we ultimately prove a characterization theorem for 3-magic finitely generated …

Optical Sensor Instrumentation For Enhanced Continuous Caster Development, Hanok Wondimagegnehu Tekle

Doctoral Dissertations

Fiber-optic sensors are an emerging technology that can enhance process monitoring and control in steelmaking. They are especially valuable in the continuous caster’s harsh environment. This dissertation presents the industrial application and demonstration of three sensor types: single-mode silica fiber with Rayleigh-based Optical Frequency Domain Reflectometry (OFDR), sapphire fiber (single-crystal alumina) with Fiber Bragg Gratings (sFBG), and an in-line Raman spectroscopy probe. Each sensor served a distinct role in the continuous caster. Rayleigh OFDR sensors were embedded in tundishes for distributed thermal mapping at 7-mm spatial resolution across ≈4 m. Measurements were taken during preheating, casting, and ladle exchanges, and …

Radio Frequency Wave Propagation Modeling Within Obstructed Underground Mining Environments For Effective Miner Localization During Mine Emergencies, Emmanuel Atta Antwi

Doctoral Dissertations

The reliability of underground wireless communication systems remains a significant challenge, particularly during emergencies when the mine environment becomes severely obstructed by debris, dust, and humidity. These environmental and geometric conditions result in significant attenuation of electromagnetic (EM) waves and multipath effects that undermine miner localization and rescue operations. Existing Vector Parabolic Equation (VPE) models are efficient for straight or mildly curved tunnels but fail to account for the random and obstructive conditions typically encountered during underground emergencies. This research develops a novel radio propagation model for EM wave behavior in underground mine drifts under geometrically obstructed conditions. The model …

The Role Of Mineral Raw Material Imports In Driving The Energy Transition, Mahelet G. Fikru, Nurcan Kilinc-Ata

Economics Faculty Research & Creative Works

This study contributes to the mineral-energy nexus by examining the role of importing mineral raw materials (ores and concentrates) on subsequent progress in the energy transition among 33 countries from 1992 to 2015. We focus on net imports of ores and concentrates for five energy transition minerals (copper, cobalt aluminum, nickel, and manganese) and present an economic production framework to link the mineral raw materials with renewable electricity generation shares. The distinction between mineral raw materials and processed/refined inputs is important because processing capabilities vary among nations, influencing their import-export dynamics and energy transition strategies. Our empirical analysis based on …

Re-Crosslinkable Particle For Conformance Control And Temporary Plugging, Yifu Long, Bowen Yu, Baojun Bai, Thomas P. Schuman

Patents

The present invention generally relates to the composition of particle gels for conformance control, well drilling and well treatments. More particularly, this invention relates to swellable polymer particle gels that can re-crosslink, i.e., reassociate and self-heal, at subterranean conditions. These particle gels can be deployed to improve the conformance of water flooding of especially matrix bypass events (MBEs), that are also known as void space conduits. Moreover, these particle gels can be deployed for controlling the water production and increasing of petroleum recovery. The inventive particles can also be deployed as diverter for well stimulation.

Disaggregation Of Nanodiamond Particles, Vadym Mochalin, Atsushi Kume, Yoshihiro Inamoto, Masumi Hashimoto

Patents

Methods for disaggregating nanodiamond clusters, for example, by using sonication to break apart nanodiamond aggregates in an aqueous slurry having an alkaline pH. Compositions, such as aqueous nanodiamond dispersions and dry particulate compositions can be produced using these methods.

System And Method For Simulating A Respiratory System, Yang Wang, Weixing Hao, Yue-Wern Huang

Patents

A system and method for simulating a human respiratory system to facilitate investigating the functioning of the respiratory system, such as the generation and effects of secondhand smoke. An aerosol generator, which may include an atomizer, is configured to generate an aerosol. A series of filter media includes, in order, an inhaling extrathoracic filter media, an inhaling tracheobronchial filter media, an alveolar filter media, an exhaling tracheobronchial filter media, and an exhaling extrathoracic filter media. Each filter media includes one or more layers of a material having a fiber diameter and a weight that simulate the corresponding region of the …

Coating Compositions And Methods For Using The Same, Fateme Razaei, Thomas P. Schuman, Glenn C. Morrison

Patents

Coating compositions and methods for using the same are disclosed. The coating compositions can include an aminosilica adsorbent. The coating compositions can adsorb CO2 .

Family Businesses At Crossroads: From Legacy To Impact, Center For Entrepreneurship & Innovation

Faculty Journal Articles

The MENA Family Business Research Conference (MENA-FBRC), hosted by the Center for Entrepreneurship and Innovation (CEI) at the Onsi Sawiris School of Business at the American University in Cairo (AUC), brought together academics, family business leaders, practitioners, students, and ecosystem stakeholders from across the MENA region to foster dialogue on the evolving landscape of family enterprises and their role in economic development. Guided by the theme “Family Businesses at Crossroads: From Legacy to Impact,” the conference served as a platform for advancing regional family business research while strengthening the connection between academic knowledge and practical application. Through keynote speeches, research …

Nuclear Intron Sequence Variation Of The Bulinus Globosus Complex (Mollusca: Planorbidae): Implications For Molecular Systematic Analyses, Chairat Tantrawatpan, Kotchaphon Vaisusuk, Chrysantus M. Tanga, Warayutt Pilap, Naruemon Bunchom, Ross H. Andrews, Tongjit Thanchomnang, Wanchai Maleewong, Weerachai Saijuntha

All Peer-Reviewed Publications

Urinary schistosomiasis is caused by the blood fluke Schistosoma haematobium, which is predominantly found in Africa. The freshwater snail Bulinus globosus is its main intermediate host. The species that make up the B. globosus group are genetically complex, and their taxonomic status remains controversial. Genetic variation, heterozygosity, and DNA recombination in B. globosus were examined using the mitochondrial cytochrome c oxidase subunit 1 (COI) and the intron 3 region of the arginine kinase gene (AkInt3). A total of 81 B. globosus snails were collected from three different localities in Kwale County, Kenya. Genomic diversity, heterozygosity, DNA recombination, and haplotype network …

Challenges And Lessons From A Vector Control Campaign Targeting Glossina Palpalis Palpalis In An Isolated Protected Forest Area In Abidjan, Côte D’Ivoire, Yao Jean Rodrigue Konan, Bi Tra Dieudonné Ta, Djakaridja Berté, Bamoro Coulibaly, Kinifo Donatien Coulibaly, Nick Steven Egnankon, Foungniguée Diarrassouba, Kouassi Albert Djabo, Stéphanie Watier-Grillot, Jean Paul Demoncheaux, Koffi Alain De Marie Kouadio, Louis N’Dri, Philippe Solano, Sophie Ravel, Guy Pacôme Adingra, Antoine Barreaux, Adeline Ségard, Dramane Kaba, Vincent Jamonneau, Thierry De Meeûs, Vincent Djohan

All Peer-Reviewed Publications

Vector control (VC) is one of the strategies employed to manage African trypanosomoses. This study aimed at assessing the effectiveness of a VC campaign against Glossina palpalis palpalis using tiny targets (TTs) impregnated with insecticide in an isolated, protected forest in Abidjan, Côte d’Ivoire, while considering ecological, genetic, and operational factors. Between January 2020 and September 2022, 2,712 TTs were deployed at 684 sites, covering a total area of 1.7 km2. VC monitoring was conducted using Vavoua traps during 12 evaluation surveys, between June 2020 and March 2023. Five months after the initial TT deployment, tsetse fly density had decreased …

Unraveling The Potential Of Black Soldier Fly Larvae As A Sustainable Protein Source For Nile Tilapia Production In Diverse Aquaculture Systems, Jonathan Munguti, Mavindu Muthoka, Jimmy B. Mboya, Domitila Kyule, Menaga Meenakshisundaram, Chrysantus M. Tanga

All Peer-Reviewed Publications

Aquaculture plays a critical role in global food security, with Nile tilapia (Oreochromis niloticus) recognized for its adaptability and robust growth. However, traditional feeds, heavily reliant on fishmeal (FM) and soybean meal, face economic and environmental challenges. In response, black soldier fly larvae meal (BSFLM) has emerged as a promising, nutrient-dense alternative. This review synthesizes existing literature on BSFLM’s nutritional profile and its suitability for Nile tilapia diets, while acknowledging that the data come from diverse independent studies conducted under varying environmental conditions and husbandry practices. BSFLM consistently provides high-quality protein (29.9%–48.2%), aligning with tilapia’s requirements, and is rich in …

The Degree Of Digital Leadership Practice And Its Relationship To The Level Of Outstanding Performance In Palestinian Universities, Alyan A. El-Holy, Mohammed H. Hamad

Journal of Educational and Psychological Studies

The study investigates the availability of digital leadership in Palestinian universities and its relationship to an outstanding performance. The descriptive-analytical method has been adopted as the research methodology. The main study tool is a validated and reliable questionnaire. The study sample consisted of (298) individuals in administrative positions at the Islamic University, Al-Aqsa University, Al-Azhar University, and Palestine University. They were selected through stratified random sampling.

The estimation level of administrative position holders for excellent performance and digital leadership in Palestinian universities is medium. The overall score for the excellent performance and digital leadership variables are (67.37%) and (64.6%), respectively. …

“I Learned To Bottle Up My Feelings From A Young Age”: A Narrative Analysis Of Latina Young People’S Family Mental Health Socialization, Jenn M. Lilly

Social Service Faculty Publications

Latina young people report high levels of mental health problems and low levels of helpseeking

compared with their white peers, but little research has examined factors influencing

their mental health views. Inductive analysis of 25 participants’ narratives revealed that Latina

young people described three stages in the development of their mental health-related beliefs,

attitudes, and behaviors: undergoing a process of family mental health socialization, suffering

in silence, and attaining a new perspective. Within each of these phases, participants shared

stories that attest to their agency and resilience. This research uncovers a novel theoretical

construct, “family mental health socialization,” which elucidates …

Topo-Vm-Unetv2: Encoding Topology Into Vision Mamba Unet For Polyp Segmentation, Diego Adame, Jose Angel Nunez, Fabian Vazquez Jr., Nayeli Gurrola, Huimin Li, Haoteng Tang

Computer Science Faculty Publications

Convolutional neural network (CNN) and Transformer-based architectures are two dominant deep learning models for polyp segmentation. However, CNNs have limited capability for modeling long-range dependencies, while Transformers incur quadratic computational complexity. Recently, State Space Models such as Mamba have been recognized as a promising approach for polyp segmentation because they not only model long-range interactions effectively but also maintain linear computational complexity. However, Mamba-based architectures still struggle to capture topological features (e.g., connected components, loops, voids), leading to inaccurate boundary delineation and polyp segmentation. To address these limitations, we propose a new approach called Topo-VM-UNetV2, which encodes topological features into …

Evaluating Time Series Models With Knowledge Discovery, Li Zhang

Computer Science Faculty Publications

Time series data is one of the most ubiquitous data modality existing in a diverge critical domain such as healthcare, seismology, manufacturing and energy. Recent years, there are increasing interest of the data mining community to develop time series deep learning model to pursue better performance. The models performance often evaluate by certain evaluation metrics such as RMSE, Accuracy, and F1-score. Yet time series data are often hard to interpret and is collected with unknown environment factor, sensor configuration, latent physic mechanisms, and non-stationary evolving behavior. As a result, a model that is better on standard metric-based evaluation may not …