Digital Commons Network^™

Tathwīr Mu‘Jam Raqmī Li Al-Muṣṭalaḥāt Al-Adabiyyah Bi-Manhaj Al-Lisāniyyāt Al-Mu‘Tamidah ‘Alā Al-Mudawwanah, Ahmad Syaifudin, Moh. Ainin, Moh. Khasairi

Al-Arabi: Journal of Teaching Arabic as a Foreign Language

يميل الطلبة إلى ضعف إتقان المصطلحات العلمية باللغة العربية، مما يؤثر سلبًا على أنشطتهم الأكاديمية. وتعود هذه الصعوبة إلى عدم الألفة مع المصطلحات، وضيق الوقت، وعدم كفاية المعاجم العامة في تقديم الترجمات الدقيقة. أظهرت نتائج تحليل الاحتياجات لدى الطلبة أنهم بحاجة إلى معجم خاص بمصطلحات الأدب العربي. تم تطوير منتج يُعالج هذه المشكلات ويتماشى مع تفضيلات الفئة المستخدمين. يهدف هذا البحث إلى وصف: (1) عملية تطوير معجم رقمي عربي-إندونيسيس لمصطلحات الأدب العربي بمنهج اللسانيات معتمد على المدونة اللغوية ، و(2) تقييم صلاحية المنتج. اعتمد البحث على نموذج ADDIE في التطوير، حيث تم دمج خطوات إعداد المعجم مع منهجية النموذج في …

The Compassionate H.E.A.R.T. Of Relationship-Centered Care, Dustin Willis

Loma Linda University Electronic Theses, Dissertations & Projects

The patient-provider interaction (PPI) represents a critical dimension of healthcare delivery that significantly influences clinical outcomes, yet the nuanced dynamics of compassionate care remain operationally elusive. This dissertation presents the Compassionate H.E.A.R.T. (Helping Ease, Alleviate, & Relieve Therapeutically) framework—a novel theoretical model for understanding and enhancing relationship-centered care—and examines its validity, reliability, and therapeutic impact.

Through four interconnected studies, this research explores the multifaceted nature of compassionate care. First, a comprehensive literature review excavates the landscape of patient-provider interactions, highlighting terminological inconsistencies, incomplete theoretical frameworks, and methodological challenges in measuring these ethereal qualities. Second, the Compassionate H.E.A.R.T. model is introduced, …

Memory Interference In The Lateral Entorhinal Cortex, Omar Ghazy

Dissertations, Theses, and Capstone Projects

Memory interference occurs when previously formed memories disrupt the acquisition or retrieval of new information. A prominent example of proactive interference is latent inhibition (LI), defined as a reduced ability to form or express Pavlovian associations with a stimulus following non-reinforced exposure. The interference-based model suggests that LI arises because the memory that the pre-exposed stimulus is inconsequential interferes with the memory that it predicts a reinforcer.

Because interference increases with age, identifying its neural basis may help prevent or slow cognitive decline. Prior studies using the LI paradigm implicate the entorhinal cortex (EC) in retrieving the memory that a …

The Evolution Of Sprinting Performance: Technological And Regulatory Influences From 1976 To 2024, Dariusz Tadeusz Skalski, Magdalena Prończuk, Kinga Łosińska, Ewelina Lulińska, Joanna Motowidło, Petr Stastny, Adam Maszczyk, Grzegorz Trybek

Baltic Journal of Health and Physical Activity

Background: This study examines the progression of sprinting performance across the 100m, 200m, and 400m events from 1976 to 2024, highlighting the influence of technological advancements and regulatory changes. Over the past decades, sprinting has been significantly shaped by developments in track surfaces, footwear technology, training methodologies, and regulatory frameworks. Understanding these factors is essential for assessing how sprint times have evolved and what future trends might emerge. Materials and methods: Utilizing a comprehensive dataset from international athletics federations, this research applies time series analysis, regression modeling, and variance testing to assess trends, gender disparities, and performance variability. Data sources …

The Arch And The Looking Glass: Umbli Cu Cioara Vopsitǎ, Ana Popescu

Masters Theses

The Arch and The Looking Glass: Umbli Cu Cioara Vopsită (You Are Walking Around with a Painted Crow)

A thesis presented in partial fulfillment of the requirements for the Master of Fine Arts in Ceramics in the Department of Ceramics of the Rhode Island School of Design, Providence, Rhode Island.

By Ana Popescu, 2025

Approved by Master’s Examination Committee:

Lesley Baker, Shoji Satake (Chair), Heather Bhandari, Tucker Houlihan

Date: May 17th, 2025

Location: Rhode Island School of Design, Providence, Rhode Island

To be opened for self-reflection in 10 years, on May 17th, 2035:

I’ve been mulling over how to make …

Highlighting The Benefits Of Community-Based Public Art Practices: Narrating A Year Of Living And Working Amongst The Creative Communities Of Providence, Rhode Island., Keara Mchaffie

Masters Theses

This thesis investigation explores the benefits of publicly

accessible arts programming and considers the significance of art

education experiences outside the traditional classroom setting.

The social and emotional benefits of these spaces are specifically

considered as a means to build confidence, and foster meaningful,

supportive connections beyond traditional academic measures.

Embracing a qualitative, mini-case study approach, the study

details hands-on experiences collaborating with different

organizations across Providence, Rhode Island during a year-long

graduate program. The data highlights how access to public

programs in community-based settings, such as libraries, play a

pivotal role in strengthening creative ideologies and community

relations.

Resonance, Jess D. Skyleson

Masters Theses

Resonance is a digital media installation intended to facilitate a deeper understanding of inter-connection within and between ourselves and others, and to depict how our voices live both within and beyond us. The exhibit is divided into two intertwining halves:

Externally, the piece involves creative communication between people, art mediums, and life experiences. This aspect includes the contributions of thirty patients, doctors, and caregivers who responded to one another’s artwork in a series of workshops led by the artist. Starting with the creative writing of patients, this was provided to a group of unrelated medical providers, who responded with visual …

Hunting, Feiyang Zhuang

Masters Theses

This writing is about fragility and revelation of technological systems. It considers how brokenness, delay, and opacity are not flaws but openings—opportunities to reimagine our relationship to technology as something grounded, sensory, and continuous with the natural and material world.

Colloidal Quantum Dots: A Path Toward Making Mid-Wave Infrared Sensing A Ubiquitous Technology, Mohammad Mostafa Al Mahfuz

Dissertations

Reducing the size, weight, power consumption, and cost (SWaP-C) of infrared detectors could make infrared sensing more widely accessible. In the critical mid-wavelength infrared (MWIR) spectral range of 3-5 gm, commercially available detectors are limited by the high costs associated with epitaxial growth and hybridization, as well as the need for cryogenic cooling. These factors restrict their use to defense and space applications.

Colloidal quantum dots present a promising material for overcoming these challenges, with wafer-scale monolithic integration and Auger suppression being the key material capabilities to minimize the sensor's SWaP-C. Infrared sensors based on colloidal quantum dots have been …

Childhood Neuroanatomical Markers Of Familial And Nonfamilial Attention-Deficit/Hyperactivity Disorder, Rahman Baboli

Dissertations

Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent neurodevelopmental disorder, characterized by developmentally inappropriate levels of inattention, hyperactivity, and impulsivity. Children with family history of ADHD are at an elevated risk of having ADHD as well as a higher risk of persistent ADHD into adulthood, reflecting a source of etiological heterogeneity in ADHD. This heterogeneity in terms of both biological and environmental risk factors may explain differences in neural correlates, outcomes, cognitive, behavioral as well as developmental trajectories. It is therefore critical to understand the influence of having, or not having positive family risk factors on the neuroanatomical structures of the …

On The Design Of A Framework For Large-Scale Exploratory Graph Analytics, Oliver Andres Alvarado Rodriguez

Dissertations

Large-scale exploratory graph analytics merges data science with high-performance computing to extract critical insights from network-representable data. Data scientists routinely analyze data from the natural, social, and computing sciences by representing it as networks, or graphs, where objects become vertices and their relationships become edges. This representation allows data scientists to add graph analytics to their toolbox. However, designing tools for large-scale exploratory graph analytics is challenging due to the complexities of graph algorithms, such as high communication in distributed systems and large memory demands. These challenges can lead to overly complex software, which limits usability and development to a …

Machine Learning And Optimization For Intelligent Decision-Making, Elson Cibaku

Dissertations

This dissertation presents a series of innovative machine learning and optimization model designs that address complex operational challenges across logistics and power systems. By integrating advanced neural architectures with robust optimization techniques, the work delivers scalable solutions designed to improve efficiency, reliability, and decision-making in dynamic and real-world environments. The first study introduces a two-stage approach to effective vaccine distribution. This framework tackles the capacitated vehicle routing problem by combining adaptive clustering techniques with reinforcement learning and a simulated annealing pickup policy. Through extensive computational experiments, the approach demonstrates substantial improvements in routing efficiency, reducing both computational time and logistical …

Model-Based Reinforcement Learning And Deep Learning For Power Converter Circuit Design Automation, Shaoze Fan

Dissertations

This dissertation presents a comprehensive automated framework for power converter design, leveraging reinforcement learning (RL) and graph-transformer networks (GTN) to address critical inefficiencies in traditional manual topology optimization. Motivated by the combinatorial increase of circuit design spaces and the computational cost of iterative simulations, this work develops a robust framework for generating energy-efficient topologies requiring rapid and reliable circuit design.

The framework integrates three key components: (1) an upper-confidence-bound-tree-based (UCT-based) RL model for circuit topology space exploration, (2) parallelized UCT algorithms to accelerate exploration processes, (3) a Graph-Transformer-based Network enabling fast circuit performance evaluation. Experimental validation demonstrates the whole framework …

The Interplay Of Accommodation And Oculomotor Vergence Within Young Adults With Binocularly Normal Vision And Typically-Occurring Convergence Insufficiency, Sebastian Fine

Dissertations

Concerted binocular coordination evoking oculomotor and refractive responses to visual stimuli are essential to daily function. Oculomotor dysfunctions can inhibit binocular responses to visually-near stimuli and have high comorbidities to accommodative dysfunctions. Three visual cues for inward (convergent) and outward (divergent) oculomotor movements, when presented concertedly create natural-viewing conditions: disparity- the binocular difference in light cast onto the fovea due to differing ocular perspectives, blur- the acuity of a visual target which stimulates accommodation, and proximal- the perceived distance of a visual stimuli based on size.

This study aims to quantitatively investigate oculomotor vergence and accommodation performances between individuals with …

Modulation Of Cerebellar Cells By Transcranial Ac Stimulation In Anesthetized Rats, Qi Kang

Dissertations

Noninvasive brain stimulation (NIBS) is increasingly utilized in clinical trials for the treatment of neurological disorders. Each NIBS technique offers distinct advantages. Transcranial electrical stimulation (tES) is easy to apply and requires only simple equipment, while transcranial magnetic stimulation (TMS) can penetrate deeper than tES into the brain and it is more focal. Transcranial focused ultrasound stimulation (FUS) is superior to both in terms of penetration and focal stimulation. This study focuses on the modulation of the cerebellum, traditionally believed to be associated with motor coordination but increasingly recognized for its role in cognition and emotion as well. While tES …

Adversarial Robustness In Advanced Machine Learning Models Integrating Graph Neural Networks And Large Language Models, Mahmoud Nazzal

Dissertations

Artificial intelligence (AI) has achieved remarkable performances across various domains. In most real-world applications, data often takes relational forms, such as graphs and networks, or sequential forms, such as text and time series. As AI evolves, specialized models have emerged to handle these structures; Graph Neural Networks (GNNs) for relational mining and Large Language Models (LLMs) for sequential understanding. Despite their success, these models face challenges in security, robustness, and interpretability. GNNs excel in relational reasoning but are vulnerable to adversarial manipulation and lack interpretability, while LLMs are strong in linguistic reasoning and generalization yet struggle with relational data and …

An Inquiry Into The Physics Of Mixing And Floc Filtration, Andrew P. Pennock

Dissertations

Flocculation and clarification are two essential processes to deliver safe water at a reasonable cost to consumers. There are two major thrusts to the research presented in this dissertation. The first is to better characterize the physics and mixing parameters used for the design of hydraulic flocculators in the context of drinking water treatment plants. The second major thrust is to investigate floc filtration as a mechanism for the removal of primary particles during floc blanket clarification.

The intensity of mixing in environmental and chemical engineering applications is often characterized by the Camp and Stein velocity gradient. This parameter has …

Fact-Checking As A Multi-Step Process: From Ambiguity Resolution To Claim Validation, Wenbo Wang

Dissertations

The spread of misinformation and disinformation has become a major concern, particularly with the rise of social media as a primary source of information for many people. Fact-checking—the process of verifying claims against credible evidence—has emerged as a critical safeguard against misinformation. Yet, the task is fraught with challenges: claims are often ambiguous, context-dependent, or composed of multiple intertwined assertions, while automated systems struggle to replicate the nuanced reasoning of human experts. This dissertation addresses these challenges by reimagining fact-checking as a multi-step, knowledge-guided process that systematically resolves ambiguity, decomposes complexity, and validates claims through structured reasoning. Additionally, the proposed …

Next-Generation Extended Reality Systems With Real-Time Edge Artificial Intelligence And Mobile Computing, Pedro H. Regalado

Dissertations

Mixed reality (MR) and augmented reality (AR) systems are reshaping digital experiences by seamlessly integrating physical and virtual environments. This dissertation presents a comprehensive framework for next-generation immersive systems, combining advances in real-time data processing, multi-user synchronization, and secure communication. The core contributions are structured around three interconnected systems: MediVerse, TeleAvatar, and MultiAvatarLink, each addressing critical challenges in mobile MR.

MediVerse is a secure and scalable framework for real-time health and performance monitoring, integrating intelligent IoT sensors, wearable technologies, and MR interfaces. It supports multi-camera fusion, adaptive compression, and real-time three-dimensional (3D) point cloud generation, enhancing data accuracy and responsiveness …

From Neural Networks To Large Language Models: Innovations In Financial Ai, Mathematical Reasoning, And Structured Data Representation, Junyi Ye

Dissertations

This dissertation explores the evolution and application of artificial intelligence techniques across three critical domains: financial modeling, mathematical reasoning, and structured data analysis. The dissertation presents seven research projects that chart a progression from specialized neural architectures to sophisticated large language models (LLMs), contributing novel methodologies and frameworks at each stage.

In the financial domain, the research first introduces TS-Mixer, a MLP-based architecture for time-series forecasting that captures both feature relationships and temporal dependencies through a simple yet effective design, outperforming more complex models in S&P500 index prediction. The dissertation then presents DySTAGE, a dynamic graph representation learning framework that …

Towards Explainable Ai On Graph Neural Networks: Xaig, Jiaxing Zhang

Dissertations

In the evolving landscape of artificial intelligence (AI), Graph Neural Networks (GNNs) have garnered growing prominence for their adeptness in processing graph-structured data. Despite this, the interpretability of their predictions often remains elusive. The demand for transparency and explainability in complex prediction models has reached unprecedented levels. To address this, post-hoc instance-level explanation techniques have emerged, aiming to unveil the rationale behind GNN predictions. These techniques endeavor to unearth substructures that elucidate the predictive behavior of trained GNNs.

This dissertation embarks on an exploration of Explainable AI (XAI) technologies within the realm of GNNs. Amid the challenges posed by the …

Rapid Riparian Ecosystem Decline In Rocky Mountain National Park, David J. Cooper, E William Schweiger, Jeremy R. Shaw, Cherie J. Westbrook, Kristen Kaczynski, Hanem Abouelezz, Scott M. Esser, Koren Nydick, Isabel De Silva, Rodney Chimner

Michigan Tech Publications

Understanding the drivers of ecosystem collapse is critical for resource management, particularly for protected areas mandated to preserve biodiversity. In Rocky Mountain National Park, Colorado, tall willows (Salix spp.) dominated riparian vegetation, and a beaver-willow state was the natural ecosystem type in the Colorado River headwaters. However, willows comprise a portion of elk diets and are a preferred food for recently introduced moose, and the vegetation structure has changed dramatically since the early 2000s. To assess ecosystem changes, we analyzed time-series data on willow height from 1997 to 2021 inside and outside 3 exclosures built to exclude ungulates, area of …

The Stream Of Life, Yitao Yuan

Masters Theses

The repetitive engagement with technological objects erases the depth of emotion by creating habits that bypass embodied and erotic pleasures and lead to a de-sexualized form of technology fetishism. The stimuli produced by machines that humans engage with are not able to convey the strength of intimacy between humans. Such virtual stimuli as the words and images produced and mediated through modern machines continuously shape conscious perception. This thesis book is split into two sections: a theoretical text and a series of images and explanations about my installation practice and process. They both seek to investigate the intersection of human …

Memeganda, Zhengxiang Huang

Masters Theses

MEMEGANDA investigates how meme culture and speculative design can transform everyday objects into covert communication tools under authoritarian censorship. In environments where digital expression is heavily restricted, memes—often dismissed as entertainment—emerge as a powerful medium of resistance. This thesis reimagines physical artifacts such as delivery helmets, receipt printers, and hotel carts as vehicles for hidden messages, bypassing digital surveillance systems. Drawing on personal experience, historical symbolism, and global examples like the White Paper Movement and banned protest songs, the project centers blue-collar workers as unlikely messengers of dissent. By embedding emotional, political, and satirical content into mundane urban materials, MEMEGANDA …

Burst Pressure Performance Of Multilayer Co-Extruded Polystyrene/Poly (Methyl Methacrylate) Pipes, Negar Shaghaghi, Erik Steinmetz, João Maia

Faculty Scholarship

This study investigates advancements in multilayer co-extrusion of annular structures, focusing on the mechanical properties of a 129-layer polystyrene (PS)/poly(methyl methacrylate) (PMMA) pipe with 50% PS as a skin layer for proof-of-concept validation. We explore the impact of angular rotation on burst pressure, layer structure, and failure mechanisms, emphasizing the potential of this technique for enhanced mechanical performance through biaxial orientation and the elimination of weld lines. Utilizing high aspect ratio (HAR) multipliers and angular rotation, our findings demonstrate improved layer structure and burst pressure performance at higher velocity ratios, which is the ratio of the linear component of angular …

Negotiating Depletion And Endurance: Hiya, Tino, And Bait As Vernacular Grammars Of Political Scandal In The Philippines, Karl Patrick R. Mendoza

Social Transformations Journal of the Global South

Political scandals in the Philippines often provoke intense outrage yet rarely lead to decisive accountability. Leaders are condemned but continue to endure, a paradox commonly attributed to weak institutions or entrenched elites. This research note advances a different explanation by foregrounding hiya (shame), tino (uprightness), and bait (goodness) as vernacular grammars through which publics interpret misconduct. Rather than fixed cultural traits, these idioms operate as interactive processes of depletion and endurance that shape how scandals resonate emotionally, register as morally legible, and align with familiar narratives. Hiya and tino collapse once violated, marking leaders as shameless or irresponsible, while bait …

Breathing With Water; Rebuilding Coastal Connections In Busan, Seri Kwon

Masters Theses

What does it mean to live on the edge? Every year, sea level is rising and massive storms are hitting the peninsula of South Korea. With each catastrophic typhoon comes significant social damage due to relocations and loss of life. To these disastrous events, the city seems to have only one response: tetrapods and sea walls. This defensive approach has blinded the public from the severity of the looming climate crisis and kept them ignorant of more productive ways to manage the shoreline.

This thesis explores an alternative narrative for this coast. Working within a 75 year timeline, I propose …

Coarse Woody Debris: Growth & Decay, Cody W. Young

Masters Theses

Coarse Woody Debris is the felled wood from trees. When branches break off and trunks fall down to the ground, the wood from the tree begins to decay. Humans need to acknowledge the importance of this regeneration and habitat building process to help protect it. The debris from coarse wood decay provides multiple benefits to the surrounding ecosystem. It is important to leave the woody debris in the context in which it fell so that the cycles of growth and decay can be preserved. My project is a public service announcement about the values of coarse woody debris. Instead of …

Cohabitation At Threshold: Carpenter House Reimagined For Multispecies Living, Zhixiao Yang

Masters Theses

With the rapid growth of the human population, we are encroaching further into wildlife habitats, particularly those surrounding urban environments. This accelerating urbanization leads to biodiversity loss, the degradation of ecological services essential to human health and well-being, and a diminishing connection between city dwellers and the natural world.

Today, urban planners, architects, economists, and other advocates for the future of humanity and the health of the planet are actively questioning how we might build greener, more resilient cities. While much of the focus has been on large-scale interventions — such as the use of sustainable materials, the creation of …

Buddha, Resituated, Min Sun

Masters Theses

The Asian Arts Room at the Metropolitan Museum of Art presents significant cultural artifacts in a minimalist, neutral environment that disconnects them from their original historical and spatial contexts. By proposing display techniques that emphasize the origin and background of objects, it asks whether audiences from diverse cultural backgrounds can be enabled to connect empathetically with and learn from the heritage represented by these objects displayed out of context.

This thesis explores how exhibition design can reframe decontextualized artifacts to restore cultural meaning. By unpacking the room chronologically and geographically, and drawing from the spatial language of the Yungang Grottoes, …