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Bringing The Outdoors In Through Biophilic Design, Gabriela Miotto Leal

Architectural Studies Honors Papers

This thesis investigates the relationship between architecture, human perception, and well-being through the lens of human-centered and biophilic design. Drawing from philosophical traditions, phenomenology, and contemporary neuroscience, this thesis argues that the built environment is an active agent in shaping cognition, emotion, and lived experience. Architecture is understood as multisensory, embodied, and temporally experienced, influencing individuals in both conscious and nonconscious ways. Through a comparative analysis of three case studies, Paimio Sanatorium, AEA House, and the Amazon Spheres, this research examines how biophilic design principles are incorporated into different contexts such as healthcare, residential, and workplace. Each project demonstrates a …

Investigations Toward A Unified Reaction Pathway Of Thermal And Tbsotf-Mediated Oxidopyrylium-Alkene (5 + 2) Cycloadditions, Adam J. Youman, Samantha N. Rokey, Wentao Guo, Jacob P. Grabowski, Susanna N. Angles, Jacob J. Bulandr, Qing Sun, John R. Goodell, Dean J. Tantillo, T. Andrew Mitchell

Faculty Publications – Chemistry

Oxidopyrylium-based (5 + 2) cycloadditions are crucial reactions to construct seven-membered carbocycles containing an ether bridge (i.e. oxabicyclo[3.2.1]octanes). Intramolecular silyloxypyrone-based (5 + 2) cycloadditions were investigated and revealed several features: (1) the TBDPS thermal process proceeds via a zwitterionic oxidopyrylium intermediate similar to previously reported TBS variants; (2) the TBSOTf-mediated reaction proceeds through a cationic oxidopyrylium intermediate; (3) quantum chemical calculations predict a stepwise process for an electron-rich dipolarophile for each set of conditions. The thermal silyloxypyrone-based (5 + 2) cycloadditions were extremely dependent on the nature of the dipolarophile and the silyl transfer group. The TBDPS enhances the …

Positive Efast—Not So Fast, Barry J. Knapp, Mitchell Vallone, Megan Duggins, Matt Jones, Jacob Knapp, Lily Kauffman, Alexander Dornstauder

Department of Emergency Medicine Faculty Publications

[Patient presentation] A 68-year-old man presented via emergency medical services (EMS) with right hip pain following a traumatic fall from his bicycle. On arrival at the emergency department, he was alert and oriented. Physical examination revealed only tenderness over the greater trochanter of the left femur, with no significant pain on passive range of motion of the left hip. Plain radiography demonstrated a left acetabular fracture (Fig 1).

Look-Ahead Cyber-Threat Forecasting For Connected And Automated Transport: A Spatio-Temporal Graph Learning Approach, Md Al Amin, Mohammad Shafat Ahsan, Jannatul Maua, Arifa Akter Eva, M.F. Mridha, Md. Jakir Hossen

Student Publications [Scholarly]

Modern intelligent transportation systems (ITS) increasingly rely on connected electronic control units (ECUs), exposing in-vehicle networks to cyber-attacks such as message injection on the Controller Area Network (CAN) bus. While prior work has focused on post-factum detection, this paper addresses the underexplored task of forecasting cyber-attacks before they occur. We propose a spatio-temporal graph neural network (STGNN) architecture that models CAN traffic as a dynamic graph sequence, where nodes represent active CAN IDs and edges capture statistical co-activation patterns. Each graph snapshot encodes temporal features such as inter-arrival statistics and entropy, and is processed using graph attention layers followed by …

Federated Data Engineering And Learning For Edge Intelligence Systems, Afsaneh Mahanipour

Theses and Dissertations--Computer Science

The rapid proliferation of Internet of Things (IoT) devices and cyber–physical systems (CPS) in domains such as smart healthcare, intelligent transportation, and industrial automation has led to unprecedented volumes of heterogeneous data. While advances in deep learning and large-scale foundation models have enabled powerful data-driven decision making, their deployment in real-world distributed environments remains fundamentally constrained by limited computation, communication bandwidth, energy resources, and data privacy requirements. This dissertation addresses these challenges by developing novel federated learning frameworks and efficient federated data-processing pipelines that make large-scale artificial intelligence practical, scalable, and trustworthy in resource-constrained settings. This dissertation identifies data preprocessing …

Multi-Objective Optimization Of Energy Costs And Ev Battery Health In V2g Enabled Homes, Dzifa M. Hodey

Theses and Dissertations--Computer Science

Electric vehicles (EVs) and rooftop solar photovoltaic (PV) systems are increasingly being integrated into residential settings, creating new opportunities for vehicle-to-grid (V2G) and vehicle-to-home (V2H) operations. In these systems, the EV battery functions as a controllable energy storage unit that can charge from the grid or PV and discharge energy to supply household load or export to the grid for a profit. By intelligently scheduling this bidirectional power exchange, households can reduce electricity costs and enhance PV utilization. Realizing these benefits requires optimization strategies that balance cost reduction with EV battery health preservation. However, existing V2G/V2H studies largely emphasize cost …

Toward Efficient And Scalable Scientific Data Management Through Quality-Oriented Data Compression, Pu Jiao

Theses and Dissertations--Computer Science

Scientific simulations and instruments now produce data at rates that overwhelm the storage, memory, and network subsystems of modern high-performance computing (HPC) facilities. Error-bounded lossy compression reduces data movement costs while bounding reconstruction error, yet three barriers limit its adoption in mission-critical workflows: existing compressors cannot guarantee the accuracy of domain-specific quantities of interest (QoIs) derived from compressed data; compression-induced artifacts such as posterization, blocking, and interpolation banding erode user confidence in decompressed fields; and significant compressibility in the quantization index arrays of interpolation-based pipelines remains unexploited. This dissertation addresses all three barriers through four contributions, with the artifact barrier …

Advancing Task-Oriented Dialog Systems: Scalability, Generalization, And Evaluation, Adib Mosharrof

Theses and Dissertations--Computer Science

Task-oriented dialog (TOD) systems enable conversational interfaces for complex tasks like flight booking and restaurant reservations. However, deploying TOD systems at scale faces three critical barriers: scalability, generalization, and evaluation. Scalability is primarily restricted by the human-annotation bottleneck, as current systems depend on vast quantities of manually labeled data for every new domain, making deployment prohibitively expensive. Generalization remains a persistent challenge, as systems optimized for known domains often suffer significant performance degradation when encountering new, unseen ones. Existing evaluation metrics measure response quality and fluency, but fail to measure functional task success. As TOD systems are deployed across diverse …

Advancing Generative Methods For Multimodal Data Analysis, Rabeya Tus Sadia

Theses and Dissertations--Computer Science

The integration and modeling of high-dimensional, heterogeneous biological data remain central challenges in computational biology due to complex feature dependencies and pervasive missingness. This dissertation addresses these challenges by developing novel generative frameworks for multimodal data reconstruction, imputation, and interaction prediction. In generative modeling, we focus on capturing structural and causal dependencies in sparse biological systems. We first introduce CausalGeD, a causality-aware diffusion framework that leverages Granger-causal attention for biologically coherent spatial gene expression generation. Next, we propose CausalGenDiff, which combines VAE-guided latent representations with causal diffusion to enable robust reconstruction across spatial and single-cell modalities. We further present DepMicroDiff, …

Off-Label Uses Of Deucravacitinib For Inflammatory Skin Conditions: Cases And Literature Review, Alexandra Nigro, Isabel C. Silva, Benjamin Gerstein, Jasper Dayanan, Saakshi Khattri

Department Dermatology Faculty Publications

Deucravacitinib is an oral, selective, allosteric tyrosine kinase 2 (TYK2) inhibitor approved for the treatment of moderate-to-severe plaque psoriasis and psoriatic arthritis. Deucravacitinib may offer a more selective approach compared to traditional Janus kinase (JAK) inhibitors. Emerging data support the use of deucravacitinib in inflammatory dermatoses beyond psoriatic disease. We present our clinical experience using deucravacitinib off-label in patients with challenging inflammatory skin disease and contextualize our findings within the current literature. We report three female patients aged 31–63 years with refractory inflammatory skin conditions, including two with dermatomyositis and one with pityriasis rubra pilaris (PRP). All patients had persistent …

The Efflorescence Of Apocalypticism (Imminent & Prepping Beliefs): Considering Informational And Motivational Regulatory Mechanisms, James T. Good Mr.

College of Graduate Studies: Theses & Dissertations

In the last quarter of the 21st century, apocalyptic beliefs emerged in scholarly and lay representations notably doubling over the last decade. With nearly forty percent of United States citizen reporting this belief, unfulfilled questions arose: What drives discrepancies in beliefs of an imminent end of the world? Additionally, what drives beliefs in the need to prepare for an end of the world? These individual questions were examined together in this study using Construal Level Theory (CLT) and Regulatory Focus Theory (RFT) in an attempt to identify how psychological mechanisms are significantly affecting the fluctuations, in these self-reported beliefs. A …

Ai-Driven Real-Time Detection Of Zero-Day Browser Exploits Using Webassembly-Based Instrumentation, Temitope Damilola Elijah

College of Graduate Studies: Theses & Dissertations

The rapid evolution of web browsers into fully fledged application execution environments has significantly expanded their attack surface, making them prime targets for sophisticated zero-day exploits that evade traditional signature-based security mechanisms. To address this challenge, this research proposes an AI-driven framework for real-time detection and analysis of zero-day exploits in web browsers by integrating browser-level telemetry monitoring, unsupervised anomaly detection, and large language model–based threat interpretation. The framework introduces a lightweight WebAssembly telemetry agent embedded within the browser runtime to capture low-level execution behaviors, including WASM module instantiation, memory growth patterns, network interactions, and runtime API activity. These telemetry …

Network-Aware Airline-Specific Flight Delay Prediction Using Tree-Based Ensemble Models, Mary Dufie Afrane

College of Graduate Studies: Theses & Dissertations

Flight delays pose persistent challenges to the efficiency and reliability of air transportation systems, affecting airlines, airports, regulators, and passengers alike. As traffic demand grows and operational environments become increasingly interconnected, accurately predicting both departure and arrival delays has become crucial for effective planning and mitigation. This study presents a network-aware, airline-specific framework for predicting flight delays in U.S. domestic air transportation systems using tree-based ensemble machine learning models. A large-scale dataset of 1.98 million flights, enriched with weather information, is used to develop predictive models for both departure and arrival delays. To capture the structural and operational complexity of …

Assessing The Diversity And Composition Of Crayfish Assemblages In The Ogeechee River Basin, Reginald Turner

College of Graduate Studies: Theses & Dissertations

Crayfish assemblage composition in the southeastern United States is understudied relative to other aquatic taxa, such as aquatic insects and fishes, and the Coastal Plain watersheds of that region are particularly underrepresented in the contemporary literature on this topic. For example, although 38% of the crayfish species in Georgia are considered “species of greatest conservation need,” most of the distributional data used to make these designations are outdated, with some dating back over 50 years. This thesis sought to update our understanding of the contemporary distributions of crayfish species within the Ogeechee River Basin (ORB), a watershed in southeastern Georgia …

Roadway Runoff Impacts To Trout Streams Studies For Ms4 Permit, Jobayed Hossain Badhan

College of Graduate Studies: Theses & Dissertations

Roadway runoff from Georgia Department of Transportation (GDOT) highway infrastructure poses measurable, but temporally constrained threats to cold-water trout ecosystems in northern Georgia. This study investigates temperature and dissolved oxygen (DO) dynamics in three secondary trout streams receiving GDOT roadway discharges, with the primary objective of evaluating compliance with Georgia Rule 391-3-6-.03(6)(ii),(v) under the Municipal Separate Storm Sewer System (MS4) permit framework. Field monitoring was conducted from April 2024 through October 2025 across two consecutive summer seasons using a tiered, multi-instrument approach: YSI ProDSS handheld grab sampling provided regulatory-grade reference measurements; HOBO MX-801 optical DO dataloggers recorded continuous 5-minute-interval temperature …

From Vision To Impact: Strategic Planning For The South Health District, Jason D. Butler Jr

College of Graduate Studies: Theses & Dissertations

This study presents a community health assessment and strategic planning process for the South Health District (SHD), a rural, multi-county public health district.  Using a mixed-methods approach, quantitative surveys and qualitative data from County Nurse Managers, County Boards of Health, and internal staff were integrated with secondary sources to identify community health priorities and organizational gaps.  Broad stakeholder engagement through surveys, SWOT workshops, and town-hall meetings ensured credibility and contextual relevance.

Findings revealed challenges in behavioral health, substance abuse, chronic disease, access to preventive services, transportation, workforce capacity, communication, and infrastructure.  Four strategic issues—Communication, Workforce Development and Retention, Purpose-Driven District, …

Identification Of A Rural Black Community-Based Mental Health Intervention Via Cbpr, Kirsten Mengell

College of Graduate Studies: Theses & Dissertations

Poor mental health in the US has increased since 2011 (Mental Health America, 2022). Rural communities face disparities in mental health shortages (Andrilla et al., 2018). African Americans face additional barriers, including a historical underutilization of mental health and high mental health stigma. This is significant given the higher rates of mental distress and discrimination among rural African Americans compared to Whites (James et al., 2017), and a recent increase in suicide among Black Americans (Stone et al., 2023). Illustrating a need for options within rural Black communities that can overcome professional shortages and cultural barriers to improve mental health …

Advancing Interoperability Through Governance And Sustainability: A Qualitative Comparative Case Study Of State Health Information Exchanges In The United States, Karterria Finkley

College of Graduate Studies: Theses & Dissertations

This study presents a comprehensive comparative analysis of state-level Health Information Exchanges (HIEs) across all 50 U.S. states and the District of Columbia, examining how governance structures, consent frameworks, funding models, and technical infrastructure influence interoperability maturity, sustainability, and adoption. Guided by Systems Theory and Donabedian’s Structure Process Outcome framework, the research employs a mixed-methods comparative case design integrating systematic documentary review, qualitative thematic analysis, and a policy-anchored analytic scoring methodology. Structural and policy characteristics were operationalized through standardized ordinal (1-5) metrics and aggregated into composite indices representing governance capacity, consent inclusivity, financial sustainability, and technical readiness. This approach enabled …

Improving Evacuation Effectiveness On Cruise And Large Passenger Ships : An Analysis Of Human Factors, Safety Culture, And Behavioral Dynamics, Antonios Andreadakis

World Maritime University Ph.D. Dissertations

Maritime trade has long constituted a central pillar of economic development, supporting global commerce and cultural exchange. Nevertheless, the maritime environment is inherently hazardous and therefore the protection of human life has consistently constituted and will continue to remain a central priority (Casson, 1995). An instrumental turning point in maritime safety occurred after the sinking of Titanic in 1912, which prompted in 1914 an International Conference dedicated to the protection of human life at sea; which ultimately led to the adoption of the International Convention on Safety of Life at Sea (SOLAS) (Dalaklis, 2017). This Convention introduced internationally imposed safety …

Guide To: Class Photos., Wolf Law Library Archives

Collection Guides & Finding Aids

No abstract provided.

A Collection Of Mussels: Ancestors, More-Than-Human Relations, And The Transformation Of Shell-Bearing Places In The Green River Valley, Kentucky, Karen A. Stevens

Theses and Dissertations--Anthropology

For over a century, archaeological investigations in the Lower Ohio River Valley have provided extensive evidence of Indigenous Ancestors’ lifeways and practices. However, interpretations of shell-bearing sites have largely been shaped by Eurocentric and Western perspectives, often framing Indigenous actions as responses to environmental shifts rather than as expressions of dynamic social, spiritual, and ecological relationships. Within this historical context, explanations for the relatively abrupt decline of freshwater mollusk collection at the end of the Archaic Period (ca. 3000 cal yr BP) have primarily emphasized environmental change, particularly fluctuations in riverine conditions and resource availability. Yet, these explanations often overlook …

Recalibrating Article 102 Tfeu In The Digital Economy: The Apple App Store (Music Streaming) Decision And The Rise Of Hybrid Platform Enforcement, Arletta M. Gorecka

Yearbook of Antitrust and Regulatory Studies

This case comment analyses the European Commission’s 2024 decision fining Apple €1.84 billion for imposing anti-steering provisions on music streaming apps in the App Store. The decision marks a significant development in the application of Article 102 TFEU to digital platform ecosystems. By characterising Apple’s conduct as an exploitative abuse of dominance, the Commission addressed restrictions that limited consumer information, increased subscription prices, and reduced user choice within the iOS environment. The case illustrates the hybrid nature of Article 102 TFEU, bridging exploitative and exclusionary theories of harm in two-sided digital markets. It also highlights structural features such as network …

Table Of Contents

Yearbook of Antitrust and Regulatory Studies

Table of Contents

Yars 19(33)

Yearbook of Antitrust and Regulatory Studies

YARS Vol. 19(33)

Southern Accent September 2025 - April 2026, Southern Adventist University

Southern Accent - Student Newspaper

Southern Adventist University's newspaper, Southern Accent, for the 2025-2026 academic year.

Analysis Of Surrogate Models At Multiple Levels For Neural Acceleration Of Hpc Applications, Bibek Panthi

Theses

Due to rise of machine learning workloads, high performance computing platforms have increased GPU resources. Consequently, use of surrogate models, to utilize GPU compute and speedup scientific applications, is on the rise. Most of the time, the whole program is replaced with a surrogate model. In this work a shock simulation program (LULESH) was taken and three functions of varying complexity were replaced with small sized neural network as surrogate models. The speedup and error in output of whole program was analyzed. We found that for the smallest function, trained model lead to speedup of overall program by 40%, maintained …

Intercomparison Of Remote Sensing Methods For Calculating Cn² Profiles, Isaiah Joseph Montgomery

Theses

Propagation of electromagnetic waves through the atmosphere is affected by turbulence. The impact of turbulence on wave propagation is characterized by the refractive index structure function (Cn²), which characterizes the intensity of fluctuations of the refractive index of air due to turbulence. Observations of vertical profiles of Cn² are essential for evaluating numerical model predictions. This study presents an intercomparison of Cn² derived from multiple ground-based remote sensing systems, including 915 MHz profiler, sodar, and a parameterized method that uses doppler wind lidar and radiometer. Results indicate that the sodar is the most accurate near- surface Cn² profiler, but above …

'Guide The Tide' - Supervision Of International Medical Graduates In The Emergency Department: A Mixed Methods Study, Purnasankar Bhowmik

Theses

Australia’s emergency departments (EDs) have experienced significant stress since the COVID-19 pandemic. An increase in the number of patient presentations, a lack of in-patient beds for the disposition of admitted patients and long waiting times are contributing factors jeopardising patient safety. In addition, the shortage of skilled staff to look after patients in the ED is the paramount concern currently and moving forward. Similarly to many other specialty areas of medicine, EDs rely on international medical graduates (IMGs) to fill the gaps in the medical workforce. However, concerns have been raised regarding IMG diversity in training requirements, clinical skills and …

A Review On Biomass-Derived Hard Carbon Anodes For Sodium-Ion Batteries : From Carbon Precursors To Storage Mechanisms, Anqi Lu, Jiaqian Qin

Journal of Metals, Materials and Minerals

The rapid development of sustainable energy technologies has intensified the demand for cost-effective and high-performance energy storage systems. Sodium-ion batteries (SIBs) are regarded as one of the most promising alternatives to lithium-ion batteries (LIBs) owing to their low cost, abundant sodium resources, and similar electrochemical mechanisms to LIBs. Hard carbon (HC) has attracted significant attention as the predominant anode material for SIBs due to its low cost, structural tunability, and availability from diverse precursors. Nevertheless, challenges remain, including the unclear Na+ storage mechanism, limited rate capability, and strong dependence on precursor type. This review systematically summarizes recent advances in HC …

Mechanical Properties And Crystallization Of Polybutylene Terephthalate Reinforced With Glass Flakes And Aluminum Powder, Nattakarn Hongsriphan, Pajaera Patanathabutr

Journal of Metals, Materials and Minerals

This research investigated mechanical properties and crystallization of poly(butylene terephthalate) composites by adding glass flakes (GF) and aluminum particles (Al). The concentration of the GF was 3 wt% or 5 wt%, and the Al was 0.5 wt% or 1.0 wt%. The stress-strain curves of the PBT-based composites showed yielding and necking. The PBT/GF/Al composites with GF/Al ratios of 3/0.5 wt/wt%, 3/1.0 wt/wt%, 5/0.5 wt/wt%, and 5/1.0 wt/wt% had Young’s moduli of 11.44%, 11.70%, 16.81%, and 19.31% higher than that of neat PBT, respectively. In the presence of Al at 1.0 wt%, the flexural modulus of the PBT/GF/Al composites increased to …