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Articles 451 - 480 of 69936
Full-Text Articles in Physical Sciences and Mathematics
Projected Climate Change Impacts On Soil Greenhouse Gas Emissions From A Restored Freshwater Marsh, Annika Hendrickson
Projected Climate Change Impacts On Soil Greenhouse Gas Emissions From A Restored Freshwater Marsh, Annika Hendrickson
University Honors Theses
Wetlands provide valuable ecosystem services, one of which is a wetlands ability to sequester carbon. Climate change and human land use threaten a wetlands ability to do so. Globally, 21% of wetlands have been lost since the 1700s. As a result, restoration of wetlands has been increasing. However, wetlands in the process of restoration emit more methane than degraded ones, and as the climate continues to change, these fluxes could respond. Projected sea level rise is expected to cause salt water to infiltrate coastal freshwater systems, increasing the salinity. Past research has found that increased salinity has led to suppressed …
Uniform Stability Of Katyusha In Strongly-Convex Settings, Don Li
Uniform Stability Of Katyusha In Strongly-Convex Settings, Don Li
University Honors Theses
Acceleration of convergence and reduction of variance constitute a trade-off in the design of stochastic optimization machine learning algorithms. Katyusha was introduced to address this trade-off, synthesizing Nesterov Accelerated Gradient (NAG) and Stochastic Variance-Reduced Gradient (SVRG) into a single first-order optimizer with promising empirical performance. However, the generalization properties of Katyusha remain largely unexplored. We conjecture that, in the smooth quadratic regime (i.e., under assumptions of strong convexity and smoothness of the loss function, and boundedness of gradients), Katyusha is uniformly stable in the sense of Bousquet and Elisseeff. Instantiating our framework for NAG, we extend the use of Lyapunov …
Beyond Emergency: Charting Pathways To Sustainable Development In Fragile And Conflict-Affected Settings: A Case Study Of Yemen, Sharif Abdurabu Salem Farid Alsahbool
Beyond Emergency: Charting Pathways To Sustainable Development In Fragile And Conflict-Affected Settings: A Case Study Of Yemen, Sharif Abdurabu Salem Farid Alsahbool
Theses and Dissertations
For nearly a decade, Yemen's eastern governorates of Hadramawt, Shabwah, and Al‑Mahrah have been relatively stable, yet the international aid system has kept delivering short‑term humanitarian relief like food baskets and water trucking instead of shifting to sustainable development that could rebuild people's lives, create jobs, fix infrastructure, and strengthen local government. This thesis investigates why this transition has taken so long. Based on 21 interviews with government officials, international NGO staff, and local NGO managers in these three governorates, the study develops a new way of understanding the problem. It introduces three ideas: the 'emergency mentality', which is a …
The Case For Ice Rises At Ross Bank Since The Middle Miocene, William Weber
The Case For Ice Rises At Ross Bank Since The Middle Miocene, William Weber
LSU Master's Theses
Many tens of ice rises exist at the marine margins of the Antarctic Ice Sheet. Isle-type ice rises in particular are those where an ice shelf is pinned to an underlying submarine bank. Recent and ongoing studies show that Ross Bank, on the middle continental shelf of central Ross Sea, was the former site of an important Ross Ice Shelf ice rise during the advance and retreat of the West Antarctic Ice Sheet (WAIS) in the last glacial cycle. Ross Bank is a broad and anomalously shallow water platform whose crest rises to 170 m water depth. Despite their importance …
Hot Jupiter Atmospheres Through Time, Annabelle E. Niblett
Hot Jupiter Atmospheres Through Time, Annabelle E. Niblett
Physics and Astronomy Undergraduate Senior Theses
Transmission spectroscopy of hot Jupiters enables mass and atmospheric composition measurements, providing insight into population dynamics and evolution when other methods are hindered by stellar activity. To effectively plan observations and interpret transmission spectra, we must have a robust understanding of how atmospheres evolve over time. To that end, we present a suite of hot Jupiter transmission spectra models with ages ranging from 3 Myr to 11 Gyr. We incorporate the cooling and contraction of the planet, which impacts the atmospheric profile, and the evolution of the stellar UV spectrum, which moderates photodissociation and photoionization. Using PICASO, VULCAN, and FastChem …
Unraveling The Nanoscopic Characteristics Of The Heterogeneous Deep Eutectic Solvent Formed By Lauric Acid And N-Methylacetamide: An Experimental And Computational Approach, Laura X. Sepulveda
Unraveling The Nanoscopic Characteristics Of The Heterogeneous Deep Eutectic Solvent Formed By Lauric Acid And N-Methylacetamide: An Experimental And Computational Approach, Laura X. Sepulveda
LSU Doctoral Dissertations
Deep eutectic solvents (DESs) are attractive systems for extraction and separation of compounds. One example of this is the DES formed by the combination of lauric acid (LA) and N-methylacetamide (NMA), system that has been shown to efficiently separate oil/water mixtures through gel formation between LA and oil molecules. Structural characterization of this system using small-angle X-ray scattering (SAXS) and vibrational spectroscopy revealed the existence of nanometer-scale LA domains embedded in a continuous polar NMA phase, where LA and NMA interact through hydrogen bonding. These LA domains are responsible for the separation efficiency of linear organic molecules. However, this DES …
Context-Sensitive Control-Flow Analysis For Non-Standard Language Semantics, Tim Whiting
Context-Sensitive Control-Flow Analysis For Non-Standard Language Semantics, Tim Whiting
Theses and Dissertations
Control-Flow Analysis (CFA) is a static technique for understanding the execution of higher-order programs without running the code. CFA aids in identifying bugs, assisting program comprehension, and exposing optimization opportunities. Constructing a CFA typically begins with an idealized evaluator--such as an abstract machine or interpreter--and proceeds by approximating components of evaluation to ensure that: (a) the analysis is sound (representing all possible behaviors), and (b) the analysis is guaranteed to terminate (finitely representable). These constraints necessitate a loss of precision, providing an approximation of the values that flow to program locations rather than exact execution traces. This imprecision causes the …
Integrating Reflection Data With Stratigraphic Analysis In Little Lake Sunapee, New Hampshire, Caleb S. Saks
Integrating Reflection Data With Stratigraphic Analysis In Little Lake Sunapee, New Hampshire, Caleb S. Saks
Earth Sciences Undergraduate Senior Theses
Reflection events within ground penetrating radar (GPR) and CHIRP seismic data are commonly used to infer changes in stratigraphy in lake basins. My thesis provides ground truth for these data by correlating reflection events to measured changes in sediment characteristics including composition and density. My focus is Little Lake Sunapee (LLS), located in central New Hampshire, which contains sediments deposited during and after the retreat of the Laurentide Ice Sheet (LIS), during late Pleistocene and Holocene time. These sediments provide a record of post-glacial climate and environmental change.
I present detailed coverage of the LLS sub-bottom sediment stratigraphy based on …
Data Science In The Utah Draft K-12 Standards Of Mathematics, Kate Webster Green
Data Science In The Utah Draft K-12 Standards Of Mathematics, Kate Webster Green
Theses and Dissertations
In today's data-driven world, the field of data science is becoming increasingly important. Research has shown that more job listings in Utah require applicants to have data science skills than ever before. Due to this growing demand, there is a push to begin data science instruction in grades K-12; however, what data science instruction is in grades K-12 is not yet clearly defined. Previous research has identified the skills and processes that make up data science in grades K-12, and several states and research groups have begun developing and implementing data science standards and learning progressions. This study analyzes the …
How Quickly Do Eastern Floodplains Store Carbon? Quantifying Reference Carbon Flux On The Dead Diamond River, Jacob Schnell
How Quickly Do Eastern Floodplains Store Carbon? Quantifying Reference Carbon Flux On The Dead Diamond River, Jacob Schnell
Earth Sciences Undergraduate Senior Theses
Terrestrial Earth systems sequester an estimated 30% of annual anthropogenic CO2 emissions. The largest share is stored in global soils which collectively store more than 3 times the amount of carbon as the atmosphere. Floodplains and river systems, while covering only 5–8% of land area, store 20–30% of the global soil organic carbon (SOC), yet, the rate at which floodplains sequester carbon remains highly uncertain. Here I constrain floodplain carbon sequestration rates for a model northeastern river that has not been impacted by development or significant human activity. I calculate carbon stock using total organic carbon and derive carbon flux …
Investigating Broadband Plasma Waves As A Driver Of Radiation Belt Energetic Electron Loss To Earth's Atmosphere, Lauren Zanarini
Investigating Broadband Plasma Waves As A Driver Of Radiation Belt Energetic Electron Loss To Earth's Atmosphere, Lauren Zanarini
Physics and Astronomy Undergraduate Senior Theses
Wave-particle interactions play a central role in transferring energy between different particle populations in space plasmas. In the radiation belts, these interactions govern the acceleration, scattering, and loss of energetic particles to Earth’s atmosphere. Understanding the drivers of these energetic particle losses is essential, as these particles can collide with satellites and contribute to ozone depletion as they enter the atmosphere. Developing a clearer picture of these processes will improve our ability to predict radiation belt variability and quantify the impacts, ultimately allowing us to mitigate the adverse effects.
Previous research has identified wave modes important for scattering electrons into …
Pedersen By Proxy: Neutral Wind Drivers Of The Magnetosphere, Shreya Gandhi
Pedersen By Proxy: Neutral Wind Drivers Of The Magnetosphere, Shreya Gandhi
Physics and Astronomy Undergraduate Senior Theses
Measurements of Saturn’s radio and magnetic periodicities suggest that atmospheric forcing influences the magnetosphere-coupled current systems on the planet (Gurnett et al., 2007). A proposed mechanism for this phenomenon is that thermospheric heating drives strong neutral winds which drag ionospheric plasma and generate currents that close along magnetic field lines (Smith, 2011). However, the local current-closure physics of these processes is di!cult to isolate in global Saturn models even if they suggest neutral wind forcing is a plausible driver for these changes (Jia et al., 2012). This thesis uses the Earth-based auroral GEMINI (Geospace Environment Model of Ion-Neutral Interactions) model …
Tracing The Seam: Machine Learning Models Of The Open–Closed Boundary From Upstream Solar Wind Drivers, Arnav Singh
Tracing The Seam: Machine Learning Models Of The Open–Closed Boundary From Upstream Solar Wind Drivers, Arnav Singh
Physics and Astronomy Undergraduate Senior Theses
The open–closed magnetic field line boundary (OCB) demarcates closed terrestrial field lines from those threaded into the interplanetary medium, and its latitude encodes the instantaneous balance between dayside and nightside reconnection that governs much of the high-latitude space-weather hazard. No single instrument resolves it globally in real time. In this thesis I close that gap empirically. Pairing nearly three decades (1983–2012) of Defense Meteorological Satellite Program particle-precipitation boundaries with the 5-minute OMNI solar-wind and geomagnetic-index record yields ∼9.1×105 causally matched crossings, partitioned into six hemispheric/MLT sectors after a |MLat| ≥ 40° physics cut.
On this corpus I train three …
Late Pleistocene-Holocene Environmental Change From May Pond Sediment Cores And Upland 10be Ages, Adrianna Drindak
Late Pleistocene-Holocene Environmental Change From May Pond Sediment Cores And Upland 10be Ages, Adrianna Drindak
Earth Sciences Undergraduate Senior Theses
The goal of this project is to reconstruct the deglaciation and post-glacial environmental conditions of northern Vermont that occurred during the transition from the Pleistocene to the Holocene, ~15,000 to 11,000 years ago. This transition marks a major climatic shift, from a glacial period to an interglacial period, and regionally involved the retreat of the Laurentide Ice Sheet (LIS). The retreat of the LIS influenced the surficial geology of North America, exposing the Earth’s surface, leaving glacial deposits, and carving out proglacial lakes. The timing of ice retreat in the region provides information about past climate conditions, which may inform …
Constraints On Crystallization Conditions From Pseudosection Thermobarometry Of The New World Mining District Porphyries Near Cooke City, Montana, Jacob Jared Gordon
Constraints On Crystallization Conditions From Pseudosection Thermobarometry Of The New World Mining District Porphyries Near Cooke City, Montana, Jacob Jared Gordon
Earth Sciences Undergraduate Senior Theses
The New World Mining District (NWMD), located two miles northeast of Cooke City, Montana, is host to a series of epithermal sills, dikes, and plutons, the intrusion of which is responsible for significant Au-Ag-Cu mineralization. These intrusive bodies were emplaced in the Eocene, potentially contemporaneously with the Heart Mountain Detachment - Earth’s largest subaerial landslide, and have been proposed as a potential trigger for the event. The pre-emplacement crys- tallization conditions for the porphyritic dikes in the region, however, remain unknown and have previously been limited to surface observations. Constraining the magmatic conditions of the in- trusives in the region …
The Method Of Periodic Averaging Applied To Reduced Coupled Mode Theory Models For Fiber Laser Amplifiers, Rebecca Nicole Bryant
The Method Of Periodic Averaging Applied To Reduced Coupled Mode Theory Models For Fiber Laser Amplifiers, Rebecca Nicole Bryant
Dissertations and Theses
Fiber laser amplifier (FLA) models are often implemented without rigorous mathematical justification or thorough numerical validation. Without a proper theoretical basis for assumptions and approximations, or a technical analysis of model performance, there is significant uncertainty about the limitations of any given reduced model and its suitability for an application. This research aims to address the lack of comprehensive assessment of FLA models by directly comparing distinct models and recommending a mathematical alternative to replace heuristic model-reduction techniques. The work in this dissertation is divided into two projects: a comparative study that uses existing FLA models to assess the validity …
Assessment Of The Readiness Of Architectural Design Companies To Adopt Eco-Friendly Nanotechnologies In Sustainable Building Design, Ashwaq Essa Al Khalil
Assessment Of The Readiness Of Architectural Design Companies To Adopt Eco-Friendly Nanotechnologies In Sustainable Building Design, Ashwaq Essa Al Khalil
Dissertations and Theses
Nanotechnology is emerging as a promising innovation in sustainable architectural design, although its adoption remains slow. Research highlights the advantages of incorporating nanotechnologies in architecture, including improved material performance, enhanced thermal efficiency, reduced energy consumption, improved durability, and progress toward the Sustainable Development Goals (SDGs). These advantages make nanomaterials a promising solution for sustainable building design, particularly in hot-climate regions where energy consumption and carbon emissions associated with conventional building design practices remain major concerns.
Despite this potential, nanotechnology adoption in architecture faces several challenges, including limited real-world applications, slow diffusion in practice, and persistent organizational, economic, and regulatory barriers. …
Identifying Active Layer Dynamics Across Geomorphic Landforms In Longyeardalen, Central Svalbard, Madeline Kim Koelbel
Identifying Active Layer Dynamics Across Geomorphic Landforms In Longyeardalen, Central Svalbard, Madeline Kim Koelbel
Earth Sciences Undergraduate Senior Theses
The thermal state of the active layer and analysis of meteorological conditions provides a greater understanding of where active layer detachment slides can occur. This study provides an overview of the active layer ground thermal regime for 2024 and 2025 in Longyeardalen, Svalbard, where the largest settlement in Svalbard, Longyearbyen is located. Ground temperature data was extracted from 8 boreholes in Longyeardalen and meteorological data was extracted from one weather station in central Longyeardalen. Overall, the ALT thickness and the thawing period increased from 2024 to 2025 while the thaw rate remained the same or decreased. The zero-curtain effect was …
Probabilistic Characterization Of Voltage Glitching Attacks, Anna Filyurina
Probabilistic Characterization Of Voltage Glitching Attacks, Anna Filyurina
Computer Science Senior Theses
Glitching, or Fault Injection, is an effective hardware hacking technique used in industry but largely unstudied in academia. Industry-led study of glitching is result-driven and overwhelmingly proprietary, meaning that a scientific approach to glitching is seen infrequently and published even less.
This thesis aims to be part of the effort to bring glitching to the attention of the academic side of the cyber security community. Specifically, this work aims to characterize and explore the probabilistic nature of fault injection that has been previously overlooked. Although from a purely result-driven point of view probabilistic nature of a phenomenon suggests unreliability and …
Extraction Of Key Themes In Online Health Discourse Using Unsupervised Learning And Large Language Models, Miranda G. Scully
Extraction Of Key Themes In Online Health Discourse Using Unsupervised Learning And Large Language Models, Miranda G. Scully
Computer Science Senior Theses
Health online discussion boards are a modern platform that allow patients to interact with each other and the healthcare system as a whole, making them valuable sources of information for clinicians seeking to better anticipate treatment experiences and barriers. This study focuses on one such community, r/suboxone, a subreddit where patients using Suboxone share their experiences and ask questions. Our analysis is motivated by previous work that proposes event-based classification systems for such posts which buckets posts from r/suboxone into one or more of five high-level labels (Access Logistics, Co-Occurring Drug Usage, Medication for Opioid Use Disorder Administration, Psychophysical Effects, …
Rehabvr: A Virtual Reality System For Upper-Body Orthopaedic Physical Therapy Rehabilitation, Winnie Brenda Wanjiru Waiya
Rehabvr: A Virtual Reality System For Upper-Body Orthopaedic Physical Therapy Rehabilitation, Winnie Brenda Wanjiru Waiya
Computer Science Senior Theses
Physical therapy is a central component of rehabilitation for musculoskeletal conditions, yet adherence to prescribed treatment remains persistently poor. Jack et al. identified pain, boredom, and insufficient feedback as key barriers to treatment adherence in physiotherapy outpatient settings,¹ and Rucinski et al. confirmed that non-adherence rates in orthopaedic populations remain between 50 and 70%, with patients who disengage facing elevated risk of reoperation, progressive functional decline, and poor clinical outcomes.² According to the World Health Organization, approximately 1.71 billion people globally live with musculoskeletal conditions,³ with shoulder pain specifically carrying a community prevalence ranging from 0.67 to 55.2% worldwide and …
Synthesis And Characterization Of Organometallic Polymers And Their Cytotoxicity Towards Human Cancer Cell Lines, Paul Peter Slawek
Synthesis And Characterization Of Organometallic Polymers And Their Cytotoxicity Towards Human Cancer Cell Lines, Paul Peter Slawek
Electronic Theses and Dissertations 2020 - Present
This research aimed to synthesize organometallic polymers from dialkyl (methyl, ethyl, butyl, cyclohexyl, and octyl) and diaryl (phenyl) tin dichlorides and three organic monomers, dipicolinic acid (DPA), chloramphenicol (CH), and isomannide (IS), using interfacial polymerization. Structure-activity relationships were investigated through physicochemical characterization (light-scattering photometry, proton NMR, and IR spectroscopy) and cytotoxicity was evaluated against six human cancer cell lines (AsPC-1, PANC-1, MCF-7, MDA-MB-231, HT-29, PC-3), with cisplatin serving as the reference standard.
Five DPA/tin polymers were synthesized, with IC50 values in the range of 0.60–0.71 μg/mL. Their cytotoxicity was significantly lower than that of cisplatin (0.0023-0.044 μg/mL), suggesting that …
Synthesis And Characterization Of Synergistic Bioactive– Organometallic Condensation Polymers, Francesca Isabel Mosca
Synthesis And Characterization Of Synergistic Bioactive– Organometallic Condensation Polymers, Francesca Isabel Mosca
Electronic Theses and Dissertations 2020 - Present
This research focuses on the synthesis and structural characterization of polymers with anticipated anticancer and antiviral properties by combining metal-containing Lewis acids, organotin dichlorides (R2SnCl2), Group 4 metallocene dichlorides (Cp2TiCl2, Cp2ZrCl2 and Cp2HfCl2), and triphenyl Group 15 metal dichlorides (Ph3AsCl2, Ph3SbCl2 and Ph3BiCl2), with biologically active Lewis bases, lamivudine, a synthetic nucleoside, and camphoric acid, a dicarboxylic acid, to achieve synergistic effect.
Five classes of polymers were synthesized using interfacial polymerization: lamivudine and organotin dichlorides, lamivudine and Group 4 metallocene dichlorides, camphoric acid and triphenyl Group 15 metal dichlorides, camphoric acid and organotin dichlorides, and camphoric acid and Group 4 …
Flip It And Reverse It: Probing Consistency Of Llm World Knowledge Under Logical Transformations, Rhianna Smith
Flip It And Reverse It: Probing Consistency Of Llm World Knowledge Under Logical Transformations, Rhianna Smith
Computer Science Senior Theses
When assessing the extent to which someone truly understands the topics they discuss, you might ask them a series of questions that examine their knowledge from different angles. As Large Language Models (LLMs) are increasingly integrated into real-world tasks, they are often required to reason through ambiguous and uncertain scenarios that rarely have a single correct answer. In these settings, their usefulness is contingent on more than accuracy alone. Rather, it depends on the strength of the reasoning that underlies their responses. This begs the question: how might we extend these types of tests to LLMs? We formalize this informal …
The Malaugh Operations And The Quadratic Invariant Gaps Of $\Si_4^C$, Forrest M. Hilton
The Malaugh Operations And The Quadratic Invariant Gaps Of $\Si_4^C$, Forrest M. Hilton
ETDs from 2020-2029
Connected Julia sets of polynomials generally correspond to laminations, sets of chords of the unit disc that reflect the dynamics of the Julia set. If the circle is measured in revolutions and the polynomials studied are of degree $d$, then the dynamics on the lamination is given by the covering map $\sigma_d(t) := td \pmod 1$ where chords are mapped by their end points. Every lamination has at least one laminational invariant set, which is loosely an invariant complementary component of the lamination. That set has a significant impact on the shape of the Julia set. James Malaugh showed how …
Investigating How Llm Trading Agents Integrate External Signals, Rohan Ray
Investigating How Llm Trading Agents Integrate External Signals, Rohan Ray
Computer Science Senior Theses
Large Language Models are increasingly deployed in systems that assume more information leads to better decisions: RAG pipelines inject retrieved documents, tool-augmented agents call external APIs, and multi-model architectures route signals between specialized components. Whether this holds when both the information and the outcomes are noisy, and decisions compound over time, has received limited empirical attention. This thesis tests that assumption on LLM-based trading agents. Using StockBench (Chen et al., 2025) as our benchmark, we ran 150 backtests across 2 frontier LLMs (Kimi K2 and Qwen3-235B-Instruct), 12 augmentation strategies, and 5 random seeds, over 82 trading days — a period …
Fabrication Of Two-Dimensional Optoelectrical Devices, Holly Walworth
Fabrication Of Two-Dimensional Optoelectrical Devices, Holly Walworth
Honors Projects
Optoelectrical devices enable the exploration of interesting quantum states observed in two-dimensional (2D) condensed material systems. 2D materials, such as graphene and transition metal dichalcogenides, exhibit unique electronic properties, including the Fractional Quantum Anomalous Hall effect (FQAHE). The realization of the FQAHE offers a pathway toward topological quantum computing via non-Abelian anyons. Still, fabricating high-quality 2D optoelectrical devices remains a significant experimental challenge. Using mechanical exfoliation and stacking techniques within an inert argon environment, we attempted to fabricate optoelectrical devices using twisted molybdenum ditelluride (tMoTe2) and gallium telluride (GaTe). Three devices were successfully assembled; however, structural defects including hexagonal boron …
The Architecture Of Chemical Understanding: How Representation Selection, Ordering, And Feature Salience Shape Students' Conceptions In Chemistry, Isaiah Nelsen
USF Tampa Graduate Theses and Dissertations
Chemical representations play a central role in how students learn and reason aboutchemistry. While representations are routinely used in chemistry classrooms, students often struggle to extract relevant information, connect representations to underlying chemical principles, and apply this information to problem-solving. This dissertation investigates the role of representations in supporting students’ conceptual understanding and reasoning across general and organic chemistry through three qualitative studies.
The first study in this work explores how variation in chemical representation influences how students understand foundational chemistry principles. This study sought to characterize how second semester general chemistry students approach dipole–dipole interaction tasks with four distinct …
Biologically Informed Negative Samplingfor Antibody Chain Pairing Classification, Ishita Singh
Biologically Informed Negative Samplingfor Antibody Chain Pairing Classification, Ishita Singh
Computer Science Senior Theses
Antibody heavy and light chain (H/L) pairing is fundamental to antigen recognition and stability. While single-cell sequencing preserves native pairing information, widely used bulk repertoire and spatial transcriptomics platforms do not, motivating the need for efficient ML methods to infer H/L pairing. Training a binary classifier for this task faces the methodological challenge of a lack of true biological negatives, since natural selection eliminates B cells with incompatible H/L pairs.
In this thesis, I introduce a biologically informed negative sampling strategy for H/L pairing classification, drawing on known V-gene biases in heavy and light chain pairing. Pseudo-negatives are constructed by …
Mimic: A Multimodal Dataset For Affective Incongruity In Video, Ethan M. Baird
Mimic: A Multimodal Dataset For Affective Incongruity In Video, Ethan M. Baird
Computer Science Senior Theses
This thesis investigates the computational challenges of constructing a database for affective incongruity, exploring the difficulties in automating the collection of contradictory affective states. Capturing these incongruities is essential for advancing Vision-Language Models (VLMs) and sentiment analysis, which struggle to interpret signals deviating from basic emotional archetypes. Curating non-congruent affect provides the data necessary for models to navigate complex social contexts, which is critical for applications like automated Audio Description (AD) for the visually impaired and nuanced Human-Computer Interaction (HCI). To capture these signals, two distinct methodologies were employed. The first utilized a tripartite decomposition of video data, isolating textual, …