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Articles 2281 - 2310 of 292696
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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 …
Predicting Cybermindfulness With The Cyber-Health Belief Model, James Robinson, Yan Tian, Thomas Skill
Predicting Cybermindfulness With The Cyber-Health Belief Model, James Robinson, Yan Tian, Thomas Skill
Journal of Cybersecurity Education, Research and Practice
This study describes the development of a Cyber-Health Belief Model (CHBM). The health belief model (HBM) is a message strategy that is widely and successfully used in public health research [1] and has been extended into phish training. Most phish training programs assume end users are victimized because they have insufficient information to defend themselves. While near-term training effectiveness has shown to be effective, evidence for sustained behavioral change is thin [4]-[7]. This problem indicates that the traditional approaches need to be reconsidered and that new models are needed. Recent research suggests attentional deficits, cyber-fatigue and fatalism and a sense …
The Intersection Between Mindfulness And Cybersecurity: A Tool To Reduce Burnout And Improve Operational Effectiveness, Ivo Ricardo Dias Rosa
The Intersection Between Mindfulness And Cybersecurity: A Tool To Reduce Burnout And Improve Operational Effectiveness, Ivo Ricardo Dias Rosa
Journal of Cybersecurity Education, Research and Practice
Abstract: This paper offers a conceptual discussion of how mindfulness, understood as present moment awareness and deliberate attention regulation, can support cybersecurity professionals. Drawing on a narrative synthesis of workplace mindfulness, burnout, and high pressure decision making literature, we map plausible self regulation mechanisms to typical cyber defense tasks. Rather than presenting new empirical data, we develop an explanatory framework linking attention, reactivity, and recovery to decision quality, team communication, and adherence to incident playbooks. We focus on two connected outcomes: reducing burnout in roles with sustained cognitive and emotional demands, and improving operational effectiveness during critical situations such as …
Cyber-Ready Libraries, Building Digital Fortresses For Tomorrow, Adeyinka B. Tella, Oluchi Precious Ogbonna Dr, Adebola Aderemi Olatoye Mrs
Cyber-Ready Libraries, Building Digital Fortresses For Tomorrow, Adeyinka B. Tella, Oluchi Precious Ogbonna Dr, Adebola Aderemi Olatoye Mrs
Journal of Cybersecurity Education, Research and Practice
Background and Purpose: Libraries are evolving into highly networked information ecosystems in this age of fast digital transformation, which increases their susceptibility to cybersecurity risks. The study "Cyber-Ready Libraries: Building Digital Fortresses for Tomorrow" looks into how prepared libraries are to face cyber threats and considers methods for creating information systems that are safe, robust, and ready for the future. To safeguard digital assets and user data, the study aims to assess existing cybersecurity practices in library settings and offer a roadmap for combining technological, human, and governance solutions.
Design/Method: The existing literature, case studies, and policy frameworks pertaining …
Parent Cultural Wealth: How Beliefs, Curriculum Familiarity, And Community Awareness Facilitate Home-Based Cs Conversations, Nicol Howard, Leiny Y. Garcia, Jean Ryoo, Julie Flapan, Michelle Choi, Paula Nazario, Wei Wei
Parent Cultural Wealth: How Beliefs, Curriculum Familiarity, And Community Awareness Facilitate Home-Based Cs Conversations, Nicol Howard, Leiny Y. Garcia, Jean Ryoo, Julie Flapan, Michelle Choi, Paula Nazario, Wei Wei
Mathematics, Physics, and Computer Science Faculty Articles and Research
Parents are critical influences on children's computer science (CS) pathways, yet families’ involvement remains understudied. Guided by parental involvement and community cultural wealth frameworks, this work-in-progress examined survey data from 53 parents representing families historically underrepresented in computing within California (71% women; 54% Hispanic/Latin/x/e). Findings revealed that CS school curriculum familiarity and awareness of CS community events significantly predicted parent-child CS conversations, while parent CS confidence and attitudes did not, suggesting that curriculum transparency and community connections can promote equitable involvement. Future work will integrate qualitative interviews to examine how families draw upon their cultural wealth.
Describing Hidden Curriculum In An Undergraduate Computing Context, Joseph R. Teahen, Briana C. Bettin, Leo Ureel
Describing Hidden Curriculum In An Undergraduate Computing Context, Joseph R. Teahen, Briana C. Bettin, Leo Ureel
Michigan Tech Publications
Hidden Curriculum (HC) is the set of essential knowledge, skills, and norms students are expected to know, but never explicitly taught. HC is disproportionately experienced across identities and communities. In computing education, most research addresses immediately identifiable HC within the researcher's context. While such work is important, without proper HC descriptive studies, we could miss more subtle HC that affects student success. This work presents results from interviews with undergraduate computing faculty, students, and peer mentors on their HC experiences. The results demonstrate several categories of HC including development tools, professional skills, institutional navigation, social well-being, and physical well-being. These …
Assessing Indoor Heat Vulnerability And Cooling Strategies In Three Mobile Home Communities In Boulder, Colorado, Usa, Mehdi P. Heris, Skye Niles, Alana Wilson, Megan Mccurdy, Amy Lacourse, Nick Lankau
Assessing Indoor Heat Vulnerability And Cooling Strategies In Three Mobile Home Communities In Boulder, Colorado, Usa, Mehdi P. Heris, Skye Niles, Alana Wilson, Megan Mccurdy, Amy Lacourse, Nick Lankau
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
Extreme heat is an increasing public health and environmental threat shaped by both physical and social factors. This study assesses the vulnerability of mobile homes and their residents at three mobile home parks in Boulder, Colorado. We examined indoor temperature, housing conditions, and social and personal risk factors of the households. We monitored indoor and outdoor temperatures using 27 indoor and 5 outdoor temperature data loggers, comparing mobile homes with air conditioning, swamp coolers, and passive cooling designs. This work provides a detailed analysis of indoor temperature patterns and demonstrates how evaluating trends yields insights into the performance and effectiveness …
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 …
A Comprehensive Review Of Optimization Techniques For Healthcare Using Cancer Datasets, Dina Tbaishat, Mohammad Tubishat, Sharif Naser Makhadmeh, Mohammed Azmi Al-Betar
A Comprehensive Review Of Optimization Techniques For Healthcare Using Cancer Datasets, Dina Tbaishat, Mohammad Tubishat, Sharif Naser Makhadmeh, Mohammed Azmi Al-Betar
All Works
This study presents a systematic review of metaheuristic optimization techniques applied to healthcare problems using cancer datasets. A structured search of recently published peer-reviewed literature was carried out, focusing on five major application areas: feature selection, classification, image segmentation, hyperparameter tuning, and early detection. For each eligible study, the optimization strategy, dataset characteristics, data modality, learning model, validation protocol, and reported outcomes are provided. The reviewed works were organized into a taxonomy of original, modified, and hybridized algorithms, and a descriptive analysis was performed to assess algorithm prevalence and dataset utilization. The findings highlight that feature selection remains the most …
Structure And Spectroscopy Of Free Base, Copper, And Zinc Tetrapentylporphyrin, Christopher J. Ziegler, Nneka Damola Ajayi, Victor N. Nemkyin, G Richard Geier Iii
Structure And Spectroscopy Of Free Base, Copper, And Zinc Tetrapentylporphyrin, Christopher J. Ziegler, Nneka Damola Ajayi, Victor N. Nemkyin, G Richard Geier Iii
University Research
Synthetic porphyrins have been crucial as models for heme units and other biological porphyrins, as well as components of advanced materials and catalysts. Much of the work on synthetic porphyrins has focused on the meso-substituted 5,10,15,20-tetraphenylporphyrin (TPP) or the pyrrole-substituted 2,3,7,8,12,13,17,18-octaethylporphyrin (OEP). In this report, we present a comprehensive spectroscopic, electrochemical, and computational study of free-base, zinc(II), and copper(II) 5,10,15,20-tetrapentylporphyrin (TPeP). TPeP can be prepared via a two-step, one-flask reaction of pyrrole and hexanal mediated by Montmorillonite K10, followed by oxidation with 2,3-dichloro-5,6-dicyano-1,4-benzoquinone (DDQ) in yields of around 40%. Similar to TPP, the TPeP systems have the highest occupied molecular …
Structure And Spectroscopy Of Free Base, Copper, And Zinc Tetrapentylporphyrin, Christopher J. Ziegler, Nneka Damola Ajayi, Victor N. Nemkyin, G Richard Geier Iii
Structure And Spectroscopy Of Free Base, Copper, And Zinc Tetrapentylporphyrin, Christopher J. Ziegler, Nneka Damola Ajayi, Victor N. Nemkyin, G Richard Geier Iii
University Research
Synthetic porphyrins have been crucial as models for heme units and other biological porphyrins, as well as components of advanced materials and catalysts. Much of the work on synthetic porphyrins has focused on the meso-substituted 5,10,15,20-tetraphenylporphyrin (TPP) or the pyrrole-substituted 2,3,7,8,12,13,17,18-octaethylporphyrin (OEP). In this report, we present a comprehensive spectroscopic, electrochemical, and computational study of free-base, zinc(II), and copper(II) 5,10,15,20-tetrapentylporphyrin (TPeP). TPeP can be prepared via a two-step, one-flask reaction of pyrrole and hexanal mediated by Montmorillonite K10, followed by oxidation with 2,3-dichloro-5,6-dicyano-1,4-benzoquinone (DDQ) in yields of around 40%. Similar to TPP, the TPeP systems have the highest occupied molecular …
Next-Generation Dns Rpz For Automated Threat Intelligence, Risk-Aware Filtering, And User-Centric Security, Jinu S, Kishore V. Krishnan, Rajarshi Middya, Annasamy Bagubali
Next-Generation Dns Rpz For Automated Threat Intelligence, Risk-Aware Filtering, And User-Centric Security, Jinu S, Kishore V. Krishnan, Rajarshi Middya, Annasamy Bagubali
Journal of Cybersecurity Education, Research and Practice
The Domain Name System (DNS) remains a critical attack vector exploited by adversaries for command-and-control (C2) communication, data exfiltration, and phishing campaigns. DNS Response Policy Zones (RPZ) have emerged as an effective defense mechanism by enabling the redirection or blocking of queries to malicious domains. However, current RPZ implementations encounter significant challenges related to scalability, adaptability, and user awareness, often resulting in static policies, delayed updates, and a high incidence of false positives. To address these limitations, this paper proposes an enhanced RPZ framework that integrates adaptive threat intelligence, machine learning-driven dynamic policy updates, and user-context-aware security controls. The proposed …
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. …
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 …
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 …
Optimization Of Cyanide Leaching Process Based On Grain Size And Slurry Density In Artisanal Small-Scale Gold Mining In Tatelu Area, North Sulawesi, Indonesia, Dadan Mohamad Nurjaman, Harmin Sulistiyaning Titah, Adji Kawigraha, Ipung Fitri Purwanti, Wahyu Hidayat
Optimization Of Cyanide Leaching Process Based On Grain Size And Slurry Density In Artisanal Small-Scale Gold Mining In Tatelu Area, North Sulawesi, Indonesia, Dadan Mohamad Nurjaman, Harmin Sulistiyaning Titah, Adji Kawigraha, Ipung Fitri Purwanti, Wahyu Hidayat
Journal of Sustainable Mining
Artisanal and small-scale gold mining (ASGM) in Tatelu Village, North Sulawesi, has shifted from mercury amalgamation to cyanide leaching. However, gold recovery remains inefficient, requiring process optimization. This study uses multiple linear regression analysis to evaluate the influence of grain size and slurry density on gold dissolution. The results indicate that grain size plays a dominant role in leaching efficiency, while slurry density, pH, temperature, dissolved oxygen (DO), and cyanide concentration have statistically insignificant effects (p > 0.05). Laboratory tests show that finer grain sizes enhance dissolution, with the highest recovery rate of 89.08% achieved at 75% passing through 44 …
Investigation Of Portland Limestone Cement Blended With Biochar From Downdraft Gasification: Hydration Kinetics, Microstructure, Rheology, And Performance Mechanisms, Ugochukwu Ewuzie, Paul C. Ani, Abdulkareem O. Yusuf, Joseph D. Smith, Monday Uchenna Okoronkwo
Investigation Of Portland Limestone Cement Blended With Biochar From Downdraft Gasification: Hydration Kinetics, Microstructure, Rheology, And Performance Mechanisms, Ugochukwu Ewuzie, Paul C. Ani, Abdulkareem O. Yusuf, Joseph D. Smith, Monday Uchenna Okoronkwo
Chemical and Biochemical Engineering Faculty Research & Creative Works
The widespread adoption of Portland Limestone Cement (PLC) in U.S. concrete production has necessitated research into commercially available supplementary cementitious materials (SCMs) for formulating high-performance, low-carbon blended binders with PLC. This study investigated the influence of biochar (BC) in biochar-PLC composites (CBCs), focusing on hydration kinetics, microstructure, rheology, pore-solution chemistry, compressive strength, and the underlying mechanisms. Biochar was produced via downdraft gasification at 850 °C and incorporated into PLC at 5, 7, and 10% substitution by mass. Isothermal calorimetry and hydration data modeled using the Knudsen equation revealed that BC retarded early hydration but improved hydration degree and later-age heat …
Rape Pregnancies And Consequent Ptsd Resulting From The Overturn Of Roe V. Wade, Emma Lindenfelser, Yulia Garaeva, Nenette Nti-Agyemang, Ellen Davis, Anna Kabwa, Alexandra M Calaman
Rape Pregnancies And Consequent Ptsd Resulting From The Overturn Of Roe V. Wade, Emma Lindenfelser, Yulia Garaeva, Nenette Nti-Agyemang, Ellen Davis, Anna Kabwa, Alexandra M Calaman
Binghamton University Undergraduate Journal
Prior to the 1973 Roe v. Wade ruling, access to safe legal abortions was limited and often restricted along racial, economic, and geographic lines. Nearly fifty years later, women’s health policy evolved again following the 2022 Dobbs v. Jackson Women’s Health Organization decision overturning Roe v. Wade. This court ruling decimated federal protections of abortion. This paper presents the research that the 2022 Dobbs judicial decision may contribute to and exacerbate rape-related PTSD on 1 out of 20 American who are unable to access a safe abortion after a rape-related pregnancy. Pregnant women living in conservative states that have outlawed …
Edge Ai And Iot-Based Intelligent Smart Irrigation System For Sustainable Agriculture, Afra Alshamsi
Edge Ai And Iot-Based Intelligent Smart Irrigation System For Sustainable Agriculture, Afra Alshamsi
Thesis/ Dissertation Defenses
Traditional agriculture faces several challenges, including excessive water consumption, inefficient irrigation practices, and the increasing demand for sustainable food production. The rapid advancement of the Internet of Things (IoT) and Artificial Intelligence (AI) provides opportunities to develop intelligent agricultural systems that improve resource management and support precision farming. This thesis presents an Edge AI and IoT-based smart irrigation system designed for real-time environmental monitoring, automated irrigation control, and intelligent irrigation prediction to support the optimal growth of arugula plants. The proposed system continuously monitors key cultivation parameters, including soil moisture, temperature, humidity, light intensity, pH, nutrient levels (NPK), and water …
Flagellar Coordination In A Swimming Multicellular Bacterium, Erandi Sachinthanie Imiya Mudiyanselage, Melina Mati, Alexander P. Petroff
Flagellar Coordination In A Swimming Multicellular Bacterium, Erandi Sachinthanie Imiya Mudiyanselage, Melina Mati, Alexander P. Petroff
Physics
Microbial locomotion is well understood when cells use either a small number of flagella or a high density of cilia. However many microbes live in an intermediate regime where coordination strategies such as flagellar bundles and metachronal waves are not possible. The mechanisms by which such organisms coordinate the motion of their swimming appendages are not well understood. Here, we study the only known obligatory multicellular bacterium, which are of the genus Magnetoglobus. Cells of this genus live exclusively in spherical communities called consortia, which are composed of a monolayer of tens of cells. Approximately a thousand of flagella project …
Interview With Orca Winner Xiao Cheng Zeng; Unl Chemistry; Computational/Theoretical; Nebraska Ice & Gold Nanocages, Mark Griep, Xiao Cheng Zeng
Interview With Orca Winner Xiao Cheng Zeng; Unl Chemistry; Computational/Theoretical; Nebraska Ice & Gold Nanocages, Mark Griep, Xiao Cheng Zeng
UNL ORCA Interview Series
Xiao Cheng Zeng became a chemistry professor at the University of Nebraska-Lincoln in 1993, quickly rose through the ranks, and was in the department for 29 years. In 2022, he left to become head of the Department of Materials Science and Engineering at the City University of Hong Kong. Xiao was born in Beijing and earned a bachelor’s in physics at the University of Beijing in 1984. Next, he traveled 6800 miles east to Ohio State University in Columbus where he earned his doctorate in condensed matter physics. He followed that up with two postdoctoral experiences, first at the University …
Detectability Of Polarized Γ-Ray Emission From Blazar Flares With Cosi, Garrett A. Latiolais, Jorge Otero-Santos, Michela Negro, Lea Marcotulli, Mohammad Ali Boroumand, Savitri Gallego, Tiffany Lewis, Et Al.
Detectability Of Polarized Γ-Ray Emission From Blazar Flares With Cosi, Garrett A. Latiolais, Jorge Otero-Santos, Michela Negro, Lea Marcotulli, Mohammad Ali Boroumand, Savitri Gallego, Tiffany Lewis, Et Al.
Michigan Tech Publications
We investigate the detectability of polarized γ-ray emission from blazar flares with the Compton Spectrometer and Imager (COSI). Using 17 yr of Fermi Large Area Telescope observations, we analyze light curves for 1413 blazars and identify a maximum of 787 sources with flaring episodes through Bayesian block analysis. For each flare, we estimate the minimum detectable polarization (MDP99%) in the COSI energy band (0.2–5 MeV) using instrument response functions under a range of spectral assumptions and background conditions. Under baseline background levels (1 count s−1) and assuming that blazar flare statistics in the MeV band are comparable to …
Chatgpt, Where Should I Go? A Qualitative Exploration Of How Large Language Models Are Experienced As Support For Travel Planning, Mohammad Amin Kuhail, Asbjørn Følstad, Saifeddin Alimamy
Chatgpt, Where Should I Go? A Qualitative Exploration Of How Large Language Models Are Experienced As Support For Travel Planning, Mohammad Amin Kuhail, Asbjørn Følstad, Saifeddin Alimamy
All Works
Large language models (LLMs) are increasingly used for travel planning. Yet, little is known about how travellers experience and interact with such language models. This qualitative study explores how users employ LLMs to plan trips, drawing on the hedonic/pragmatic model of user experience to examine functional and affective dimensions. We collected data from 104 participants with prior experience using LLMs for travel advice through open-ended questionnaire responses. Thematic analysis revealed three key insights: (1) users value the pragmatic benefits of LLMs, such as efficiency, clarity, and confidence in decision-making, while also appreciating hedonic qualities, including inspiration, enjoyment, and authenticity; (2) …
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 …
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 …
A Machine Learning Framework For Contractor Scope Matching Using Profile Characteristics And Work Package Vector Similarity, Pedro Fonseca, Sergei Chuprov
A Machine Learning Framework For Contractor Scope Matching Using Profile Characteristics And Work Package Vector Similarity, Pedro Fonseca, Sergei Chuprov
Computer Science Faculty Publications
This paper presents a machine learning-based framework for predicting contractor performance in the construction industry by integrating contractor profile information with work package characteristics. The proposed approach addresses procurement challenges arising from the misalignment between contractor expertise and assigned scopes, a key contributor to cost overruns and schedule delays. Unlike existing models that rely on aggregated project-level indicators, the framework enables scope-aware performance prediction by leveraging the Work Breakdown Structure (WBS) to capture similarity among work packages. Contractor profiles are encoded using historical performance data, while WBS elements are vectorized to quantify scope similarity and contextualize predictions. Experimental results demonstrate …
Quantitatively Hyper-Positive Real Rational Functions Iii, Daniel Alpay, Izchak Lewkowicz
Quantitatively Hyper-Positive Real Rational Functions Iii, Daniel Alpay, Izchak Lewkowicz
Mathematics, Physics, and Computer Science Faculty Articles and Research
Hyper-Positive Real, matrix-valued, rational functions are associated with absolute stability (the Lurie problem). Here, quantitative subsets of Hyper-positive functions, related through nested inclusions, are introduced. Structurally, this family of functions turns out to be matrix-convex and closed under inversion. A state-space characterization of these functions through a corresponding Kalman-Yakubovich-Popov Lemma, is given. Technically, the classical Linear Matrix Inclusions, associated with passive systems, are here substituted by Quadratic Matrix Inclusions.