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Articles 13261 - 13290 of 294560

Full-Text Articles in Physical Sciences and Mathematics

Occurrence Of Pesticides In Oregon Coastal Waters And Effects On The Intertidal Sea Anemone, Anthopleura Elegantissima, Gabriella Mae Bleil Jul 2025

Occurrence Of Pesticides In Oregon Coastal Waters And Effects On The Intertidal Sea Anemone, Anthopleura Elegantissima, Gabriella Mae Bleil

Dissertations and Theses

Pesticides are used globally for a wide range of applications including agricultural, forestry, roadsides, freshwater systems, and personal use. While pesticides have ensured efficient crop production, they are frequently transported away from application sites and are ubiquitous in terrestrial and aquatic environments. Pesticides are often detected in watersheds and rivers globally, which can have unintentional toxic effects on non-target organisms by interfering with cellular processes, behavior, feeding, reproduction, and disrupting endocrine processes. The aggregating anemone, Anthopleura elegantissima, is an important species along the North American Pacific coast due to its symbiotic relationships that contribute to high productivity, and its …

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Re: Comment Letter For 2024 Annual Operations And Maintenance Report Butte Reclamation Evaluation System (Bres) Annual Summary Report For Work Completed In Quadrant 4 (Dated May 1, 2025), Molly Roby Jul 2025

Re: Comment Letter For 2024 Annual Operations And Maintenance Report Butte Reclamation Evaluation System (Bres) Annual Summary Report For Work Completed In Quadrant 4 (Dated May 1, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Detecting Misuse Of Security Apis: A Systematic Review, Zahra Mousavi, Chadni Islam, Muhammad Ali Babar, Alsharif Abuadbba, Kristen Moore Jul 2025

Detecting Misuse Of Security Apis: A Systematic Review, Zahra Mousavi, Chadni Islam, Muhammad Ali Babar, Alsharif Abuadbba, Kristen Moore

Research outputs 2022 to 2026

Security Application Programming Interfaces (APIs) are crucial for ensuring software security. However, their misuse introduces vulnerabilities, potentially leading to severe data breaches and substantial financial loss. Complex API design, inadequate documentation, and insufficient security training often lead to unintentional misuse by developers. The software security community has devised and evaluated several approaches to detecting security API misuse to help developers and organizations. This study rigorously reviews the literature on detecting misuse of security APIs to gain a comprehensive understanding of this critical domain. Our goal is to identify and analyze security API misuses, the detection approaches developed, and the evaluation …

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Modern Procedural Terrain Generation Techniques And Their Background, Hunter A. Barton Jul 2025

Modern Procedural Terrain Generation Techniques And Their Background, Hunter A. Barton

2025 Symposium

Procedural terrain generation has become a staple in many digital environments, enabling the automated creation of large-scale and realistic landscapes for applications such as video games and movies. This paper provides an in-depth look at smooth noise functions and their use for terrain generation, as well as an overview of some more modern methods of generation. A method utilizing machine learning stlye transfer was reproduced for this paper with some alterations to improve visualization and realism.

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Discrete Time Series Forecasting In Non-Invasive Monitoring Of Managed Honey Bee Colonies: Part Ii: Are Hive Weight And In-Hive Temperature Seasonal And Colony-Specific, Vladimir A. Kulyukin, Aleksey V. Kulyukin, William G. Meikle Jul 2025

Discrete Time Series Forecasting In Non-Invasive Monitoring Of Managed Honey Bee Colonies: Part Ii: Are Hive Weight And In-Hive Temperature Seasonal And Colony-Specific, Vladimir A. Kulyukin, Aleksey V. Kulyukin, William G. Meikle

Computer Science Faculty and Staff Publications

We explored the stationarity, trend, and seasonality of the hive weight and in-hive temperature of ten managed honey bee (Apis mellifera) colonies at a research apiary of the Carl Hayden Bee Research Center in Tucson, Arizona, USA. The hives were monitored with electronic scales and in-hive temperature sensors from June to October 2022. The weight and temperature were recorded every five minutes around the clock. The collected data were curated into 2160 timestamped weight and 2160 timestamped temperature observations. We performed a systematic autoregressive integrated moving average (ARIMA) time series analysis to answer three fundamental questions: (a) Does …

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A Participatory Approach To Deploy Responsible Artificial Intelligence For Diabetes Prediction And Prevention, Laura C. Rosella, James Shaw, Shion Guha, Ibukun-Oluwa Omolade Abejirinde, Jennifer L. Gibson, Lorraine Lipscombe, Kathy Kornas, Remziye Zaim, Victoria Chui, Ijeoma Uchenna Itanyi Jul 2025

A Participatory Approach To Deploy Responsible Artificial Intelligence For Diabetes Prediction And Prevention, Laura C. Rosella, James Shaw, Shion Guha, Ibukun-Oluwa Omolade Abejirinde, Jennifer L. Gibson, Lorraine Lipscombe, Kathy Kornas, Remziye Zaim, Victoria Chui, Ijeoma Uchenna Itanyi

Health Services and Informatics Research

Artificial intelligence (AI) technologies have the potential to improve healthcare and public health. Although there has been success in AI for research uses, little progress has been made in implementing health-related AI technologies in health systems. Responsible AI for health systems requires engagement and co-design with health system partners, policymakers, and the community. Deploying responsible AI requires engaging stakeholders, particularly those affected by the technology. This commentary presents the importance of participatory approaches for responsible AI implementation. In this commentary, we discuss the planned use of participatory approaches to responsibly deploying validated machine learning models, with a specific case example …

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Recent Insights Into Electrochemical Sensing Of Per- And Polyfluoroalkyl Substances, Christopher T. Lebarron, Pavithra Hosseini, Seyyedamirhossein Hosseini Jul 2025

Recent Insights Into Electrochemical Sensing Of Per- And Polyfluoroalkyl Substances, Christopher T. Lebarron, Pavithra Hosseini, Seyyedamirhossein Hosseini

Faculty Publications

Per- and polyfluoroalkyl substances (PFAS) are widely studied due to their persistence, prevalence, and harmful effects on human and environmental health. Key challenges include improving detection methodologies, such as lowering detection limits, and developing more sensitive and selective approaches. Given the ubiquity of PFAS, effective sensing must be paired with remediation strategies that transform these pollutants into value-added or less toxic products. This perspective explores recent advances in electrochemical PFAS detection, highlighting challenges and future opportunities.

 

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Recent Insights Into Electrochemical Sensing Of Per- And Polyfluoroalkyl Substances, Christopher T. Lebarron, Pavithra Hosseini, Seyyedamirhossein Hosseini Jul 2025

Recent Insights Into Electrochemical Sensing Of Per- And Polyfluoroalkyl Substances, Christopher T. Lebarron, Pavithra Hosseini, Seyyedamirhossein Hosseini

Faculty Publications

Per- and polyfluoroalkyl substances (PFAS) are widely studied due to their persistence, prevalence, and harmful effects on human and environmental health. Key challenges include improving detection methodologies, such as lowering detection limits, and developing more sensitive and selective approaches. Given the ubiquity of PFAS, effective sensing must be paired with remediation strategies that transform these pollutants into value-added or less toxic products. This perspective explores recent advances in electrochemical PFAS detection, highlighting challenges and future opportunities.

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Framework For Mapping Sublimation Features On Mars’ South Polar Cap Using Object-Based Image Analysis, Racine D. Cleveland, Vincent F. Chevrier, Jason A. Tullis Jul 2025

Framework For Mapping Sublimation Features On Mars’ South Polar Cap Using Object-Based Image Analysis, Racine D. Cleveland, Vincent F. Chevrier, Jason A. Tullis

Geosciences Faculty Publications and Presentations

Mars’ south polar cap hosts dynamic landforms known as Swiss cheese features (SCFs), which form through the sublimation of carbon dioxide (CO2) ice driven by the planet’s extreme seasonal and diurnal solar insolation cycles. These shallow, rounded depressions—first identified by Mars Global Surveyor in 1999 and later monitored by the Mars Reconnaissance Orbiter (MRO)—have been observed to increase in size over time. However, large-scale analysis of SCF formation and growth has been limited by the slow and labor-intensive nature of manual mapping techniques. This study applies object-based image analysis (OBIA) to automate the detection and measurement of SCFs using High-Resolution …

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Increasing The Economic And Social Viability Of Carbon Capture Using Biomass Slurry Fracture Injection, Zachary G. Laird Jul 2025

Increasing The Economic And Social Viability Of Carbon Capture Using Biomass Slurry Fracture Injection, Zachary G. Laird

LSU Master's Theses

The climate is changing. This is a fact not a statement, not a theory, and not a falsehood, this is a fact. At the current projections the world’s average temperature is expected to rise by at least 2°C from pre-industrial averages by 2050 (Emissions Pathways to 2100 - Climate Action Tracker, 2024). This temperature rise will be catastrophic for a vast number of communities. What is driving this changing climate? Humans. In particular the carbon emissions caused by human activities. As humans we consume large amounts of meat, causing the need for cattle to increase, generating large amounts …

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Large Bandgap Observed On The Surfaces Of Euzn2As2 Single Crystals, Dejia Kong, Siavash Karbasizadeh, Ganesh Narasimha, Paras Regmi, Chenggang Tao, Chenggang Tao, Sai Mu, Rama Vasudevan, Ian Harrison, Rongying Jin, Zheng Gai Jul 2025

Large Bandgap Observed On The Surfaces Of Euzn2As2 Single Crystals, Dejia Kong, Siavash Karbasizadeh, Ganesh Narasimha, Paras Regmi, Chenggang Tao, Chenggang Tao, Sai Mu, Rama Vasudevan, Ian Harrison, Rongying Jin, Zheng Gai

Faculty Publications

EuZn2As2 (M = Zn, Cd, In, Sn etc.) is an excellent material system for studying magnetism-tuned topological properties. However, discrepancies exist between experimental data and theoretical calculations regarding the bulk and surface bandgaps. In this work, cleaved EuZn2As2 crystals are studied using scanning tunneling microscopy/spectroscopy and density functional theory calculations. Triangular-shaped defect-induced modifications in the local density of states help distinguish between Eu-terminated and AsZn-terminated surfaces. While large bandgaps ( ~1.5 eV at 77 K) are observed on both pristine surfaces, the bandgap size is found to be highly sensitive to local heterogeneity, tending …

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An Upper-Mesopelagic-Zone Carbon Budget For The Subarctic North Pacific, Brandon M. Stephens, Montserrat Roca-Martí, Amy E. Maas, Vinícius J. Amaral, Samantha Clevenger, Shawnee Traylor, Claudia R. Benitez-Nelson, Philip W. Boyd, Ken O. Buesseler, Craig A. Carlson, Nicolas Cassar, Margaret Estapa, Andrea J. Fassbender, Yibin Huang, Phoebe J. Lam, Oliver Marchal, Susanne Menden-Deuer, Nicola L. Paul, Alyson E. Santoro, David A. Siegel, David P. Nicolson Jul 2025

An Upper-Mesopelagic-Zone Carbon Budget For The Subarctic North Pacific, Brandon M. Stephens, Montserrat Roca-Martí, Amy E. Maas, Vinícius J. Amaral, Samantha Clevenger, Shawnee Traylor, Claudia R. Benitez-Nelson, Philip W. Boyd, Ken O. Buesseler, Craig A. Carlson, Nicolas Cassar, Margaret Estapa, Andrea J. Fassbender, Yibin Huang, Phoebe J. Lam, Oliver Marchal, Susanne Menden-Deuer, Nicola L. Paul, Alyson E. Santoro, David A. Siegel, David P. Nicolson

Faculty Publications

Mesopelagic zone (MZ) carbon budgets comparing supply with demand can be difficult to constrain due to the temporal and spatial offsets between key sources and sinks, their associated uncertainties, and potential sampling biases. To address these challenges, the EXport Processes in the Ocean from RemoTe Sensing (EXPORTS) campaign increased the number and variety of simultaneous measurements to monitor temporal variability in the MZ carbon budget using both a Lagrangian frame of reference and long-term autonomous observations. In this study, we collate a comprehensive combination of new and previously published organic carbon supply and demand measurements collected from the surface (5 …

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A Theory Of Fundamental Strata For Twisted Formal Connections, Sorawit Viwanthananut Jul 2025

A Theory Of Fundamental Strata For Twisted Formal Connections, Sorawit Viwanthananut

LSU Doctoral Dissertations

Let $G$ be a complex reductive group. A fundamental stratum for $G$ is a triple $(x,r,\beta)$ where $x$ is a point in the Bruhat-Tits building of $G$, $r$ is a nonnegative real number called depth of the stratum, and $\beta$ is a semistable functional on the Moy-Prasad filtration of $\fg$ associated to $x$ at level $r$. Fundamental strata were first introduced to classify admissible representations of a $p$-adic reductive group. More recently, Bremer and Sage have shown that fundamental strata play an important role in the geometric Langlands program and developed a theory of fundamental strata for $G$-connections. In this …

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Orbital Modulation Of Gamma Rays Up To 100 Tev From Ls 5039, R. Alfaro, M. Araya, J. C. Arteaga-Velázquez, D. Avila Rojas, H. A. Ayala Solares, R. Babu, P. Bangale, E. Belmont-Moreno, A. Bernal, K. S. Caballero-Mora, T. Capistrán, A. Carramiñana, S. Casanova, U. Cotti, J. Cotzomi, S. Coutiño De León, D. Depaoli, P. Desiati, N. Di Lalla, R. Diaz Hernandez, B. L. Dingus, M. A. Duvernois, K. Engel, T. Ergin, C. Espinoza, K. L. Fan, K. Fang, J. A. Garcia-Gonzalez, H. Goksu, A. Gonzalez Munoz, J. A. Gonzalez, M. M. Gonzalez, J. A. Goodman, S. Groetsch, J. P. Harding, S. Hernandez-Cadena, I. Herzog, J. Hinton, D. Huang, F. Hueyotl-Zahuantitla, P. Huntemeyer, S. Kaufmann, D. Kieda, A. Lara, J. Lee, H. Leon Vargas, J. T. Linnemann, A. L. Longinotti, G. Luis-Raya, K. Malone, O. Martinez, J. Martinez-Castro, J. A. Matthews, P. Miranda-Romagnoli, J. A. Morales-Soto, E. Moreno, M. Mustafa, M. Najafi, L. Nellen, M. U. Nisa, N. Omodei, E. Ponce, Y. Perez Araujo, E. G. Perez-Perez, C. D. Rho, A. Rodriguez Parra, D. Rosa-Gonzalez, M. Roth, H. Salazar, D. Salazar-Gallegos, A. Sandoval, M. Schneider, G. Schwefer, J. Serna-Franco, A. J. Smith, Y. Son, R. W. Springer, O. Tibolla, K. Tollefson, I. Torres, R. Torres-Escobedo, R. Turner, E. Varcla, Xiaojie Wang, Z. Wang, I. J. Watson, H. Wu, S. Yu, S. Yun-Carcamo, H. Zhou, C. De Leon Jul 2025

Orbital Modulation Of Gamma Rays Up To 100 Tev From Ls 5039, R. Alfaro, M. Araya, J. C. Arteaga-Velázquez, D. Avila Rojas, H. A. Ayala Solares, R. Babu, P. Bangale, E. Belmont-Moreno, A. Bernal, K. S. Caballero-Mora, T. Capistrán, A. Carramiñana, S. Casanova, U. Cotti, J. Cotzomi, S. Coutiño De León, D. Depaoli, P. Desiati, N. Di Lalla, R. Diaz Hernandez, B. L. Dingus, M. A. Duvernois, K. Engel, T. Ergin, C. Espinoza, K. L. Fan, K. Fang, J. A. Garcia-Gonzalez, H. Goksu, A. Gonzalez Munoz, J. A. Gonzalez, M. M. Gonzalez, J. A. Goodman, S. Groetsch, J. P. Harding, S. Hernandez-Cadena, I. Herzog, J. Hinton, D. Huang, F. Hueyotl-Zahuantitla, P. Huntemeyer, S. Kaufmann, D. Kieda, A. Lara, J. Lee, H. Leon Vargas, J. T. Linnemann, A. L. Longinotti, G. Luis-Raya, K. Malone, O. Martinez, J. Martinez-Castro, J. A. Matthews, P. Miranda-Romagnoli, J. A. Morales-Soto, E. Moreno, M. Mustafa, M. Najafi, L. Nellen, M. U. Nisa, N. Omodei, E. Ponce, Y. Perez Araujo, E. G. Perez-Perez, C. D. Rho, A. Rodriguez Parra, D. Rosa-Gonzalez, M. Roth, H. Salazar, D. Salazar-Gallegos, A. Sandoval, M. Schneider, G. Schwefer, J. Serna-Franco, A. J. Smith, Y. Son, R. W. Springer, O. Tibolla, K. Tollefson, I. Torres, R. Torres-Escobedo, R. Turner, E. Varcla, Xiaojie Wang, Z. Wang, I. J. Watson, H. Wu, S. Yu, S. Yun-Carcamo, H. Zhou, C. De Leon

Physics Faculty Research & Creative Works

Gamma-ray binaries are luminous in gamma rays, composed of a compact object orbiting a massive companion star. The interaction between these two objects can drive relativistic outflows, either jets or winds, in which particles can be accelerated to energies reaching hundreds of teraelectronvolts (TeV). However, it is still debated where and under which physical conditions particles are accelerated in these objects and ultimately whether protons can be accelerated up to PeV energies. Among the well-known gamma-ray binaries, LS 5039 is a high-mass X-ray binary with an orbital period of 3.9 days that has been observed up to TeV energies by …

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Re: Comment Letter For The Butte Priority Soils Operable Unit (Bpsou) 2024 Draft Final Backfill And Cover Material Quality Assurance Project Plan (Dated September 27, 2024), Molly Roby Jul 2025

Re: Comment Letter For The Butte Priority Soils Operable Unit (Bpsou) 2024 Draft Final Backfill And Cover Material Quality Assurance Project Plan (Dated September 27, 2024), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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In The Shadow Of Prompts: Adversarial Attacks And Model Cloning In Large Language Models, Kanchon Gharami Jul 2025

In The Shadow Of Prompts: Adversarial Attacks And Model Cloning In Large Language Models, Kanchon Gharami

Doctoral Dissertations and Master's Theses

Large-language models (LLMs) already power mission critical tasks such as command-and-control chat, satellite ground-station automation, military analytics, and cyber-defense. Since most of these services are offered through application programming interfaces (APIs) that still expose full or top-k logits and lack mature safeguards, they present a serious, often overlooked attack surface. Earlier work has shown how to rebuild the output projection layer or distill surface behavior, but no attack has produced a deployable clone within a tight query budget. In this thesis, we address this problem by presenting a practical pipeline for cloning LLMs under constrained settings. The approach first estimates …

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Can We Discover Physical Models Using Machine Learning? A Case Study Of Galaxy Sizes, Festa Buçinca-Çupallari, Ariyeh Maller, Viviana Acquaviva, Austen Gabrielpillai, Rachel S. Somerville Jul 2025

Can We Discover Physical Models Using Machine Learning? A Case Study Of Galaxy Sizes, Festa Buçinca-Çupallari, Ariyeh Maller, Viviana Acquaviva, Austen Gabrielpillai, Rachel S. Somerville

Publications and Research

We explore the ability of machine learning methods to discover underlying equations of physics by searching for the equations governing galaxy size in a semianalytic model. This case study allows us to evaluate the process as we know the ground truth. We find that we fail to find an equation to predict galaxy size on the entire data set, but are successful when we separate out disk galaxies where we expect the physics driving galaxy size to be different than in bulge-dominated systems. We are also able to find an equation for bulge size, but not without adding an additional …

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The Impact Of Entrepreneurial Orientation On Innovation Performance: The Role Of Knowledge Sharing As A Mediating Factor, Dhia Qasim, Ahmed Shuhaiber, Zainab Rawshdeh Jul 2025

The Impact Of Entrepreneurial Orientation On Innovation Performance: The Role Of Knowledge Sharing As A Mediating Factor, Dhia Qasim, Ahmed Shuhaiber, Zainab Rawshdeh

All Works

Innovation is critical for enhancing business products and processes, leading to improved overall performance for firms. Knowledge sharing (KS) plays a crucial role in fostering innovation within firms. Literature has addressed entrepreneurial orientation (EO) and innovation performance (IP) in firms; however, extant literature has not considered the influence of EO on IP in emerging economies. Thus, based on the EO theory, this paper develops a theoretical framework to investigate the influence of EO antecedents on IP within the mediating role of KS. Data were collected from three national telecom companies in Jordan, and 215 responses were analyzed using partial least …

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A Wide-Field Map Of Ultracompact Dwarfs In The Coma Cluster, Richard T. Pomeroy, Juan P. Madrid, Conor R. O’Neill, Alexander T. Gagliano Jul 2025

A Wide-Field Map Of Ultracompact Dwarfs In The Coma Cluster, Richard T. Pomeroy, Juan P. Madrid, Conor R. O’Neill, Alexander T. Gagliano

Physics & Astronomy Faculty Publications

A data set of 23,351 globular clusters (GCs) and ultracompact dwarfs (UCDs) in the Coma cluster of galaxies was built using Hubble Space Telescope Advanced Camera for Surveys data. Based on the standard magnitude cut of MV ≤ −11, a total of 523 UCD candidates are found within this data set of compact stellar systems (CSS). From a color–magnitude diagram analysis built using this catalog, we find a clear mass–magnitude relation extending marginally into the UCD parameter space. The luminosity function defined by this data set shows an excess of sources at bright magnitudes, suggesting a bimodal formation scenario …

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Predicting The Impact Of Climate Change On The Distribution Of Monodelphis Domestica (Wagner, 1842), Salise Sepulveda, Noé U. De La Sancha Jul 2025

Predicting The Impact Of Climate Change On The Distribution Of Monodelphis Domestica (Wagner, 1842), Salise Sepulveda, Noé U. De La Sancha

DePaul Discoveries

Understanding the impact of climate change on species distribution is necessary to properly develop plans that conserve or prepare for maintenance of crucial ecosystems. Monodelphis domestica is a small mammal species native to Argentia, Bolivia, Brazil, and Paraguay. This species is known for its high adaptability and preference for living in wet conditions. Using bioclimatic variables, generalized linear models (GLM), and Coupled Model Intercomparison Project Phase 6 (CMIP6) we predicted how this species distribution will change within the next 75 years under different climate and anthropogenic changes. The results have shown that the distribution of M. domestica will remain relatively …

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Measuring And Mapping Spatial Distributions Of Soil Lead Concentrations Across An Urban-To-Rural Gradient In Chicagoland, Lulia Woldemicael, Andrea Stoeva Jul 2025

Measuring And Mapping Spatial Distributions Of Soil Lead Concentrations Across An Urban-To-Rural Gradient In Chicagoland, Lulia Woldemicael, Andrea Stoeva

DePaul Discoveries

Lead (Pb), a highly toxic chemical has found its way into many aspects of our communities through a plethora of different pathways such as paint, gasoline, and industrial activity. Exposure to lead poses harmful risks to all age groups as a higher blood lead level is associated with higher mortality. Although actions have been taken to eliminate lead from the atmosphere, it remains in the environment, especially accumulating in urban areas where the use of automobiles and highly industrialized landscapes are prevalent. This study examines the soil lead concentrations along an urban-to-rural gradient connecting Humboldt Park, Skokie, and Buffalo Grove, …

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Fireworks And Wood Combustion Impacts On Air Quality, Iris Keller Jul 2025

Fireworks And Wood Combustion Impacts On Air Quality, Iris Keller

DePaul Discoveries

Fire is used as a land management tool to improve ecosystem health and to reduce wildfire risk by lowering tree and litter density. However, prescribed fire as a management practice has faced difficulties with public perception, because of increased awareness of air pollution. Understanding the way that prescribed burns impact air quality and how beneficial they are for ecosystems can help the public to recognize their necessity. This study measured particulate matter (PM) emissions from prescribed burns but also considered other PM sources: fireworks and bonfires. The measurements were conducted in Minnesota, Wisconsin, and the Chicagoland area in the summer …

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Factors Motivating Clothing Choice: Environmental Impact Of T-Shirts, Lauren Hunt Jul 2025

Factors Motivating Clothing Choice: Environmental Impact Of T-Shirts, Lauren Hunt

DePaul Discoveries

Second only to oil, the fashion industry is one of the most pollutive industries globally. Due to the rise of fast fashion, this environmental issue is continually growing. The level of production has dramatically increased while quality of apparel has decreased, causing shorter garment lifespans. This research utilizes life cycle assessment to identify the environmental impacts of various textiles used in the production of t-shirts, including cotton, polyester, viscose, and elastane. The research scope focuses from material extraction through garment disposal. The life cycle assessment research is paired with a community survey to determine consumer behavioral patterns surrounding clothing consumption …

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Environmental Justice And Soil Lead Contamination: Spatial Analysis Across Seven Community Areas, Arsene Lionel Apabaga Jul 2025

Environmental Justice And Soil Lead Contamination: Spatial Analysis Across Seven Community Areas, Arsene Lionel Apabaga

DePaul Discoveries

Pb is a pervasive metal with toxicity linked to numerous human health issues. Urban soil is a well-documented environmental sink for Pb, persisting as a legacy pollutant decades after the phaseout of leaded gasoline. This study measured, mapped, and analyzed the spatial distribution of total soil Pb concentrations across seven Chicago Community Areas (CCAs). The objectives were to: (1) assess the relationship between mean soil Pb concentration and mean Community Environmental Justice Index (CEJI) score per CCA, (2) determine the relationship between soil Pb levels and the percentage of industrial land use, and (3) quantify and compare the percentage of …

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Values And Barriers: A Multidimensional View Of College Students’ Motivations To Volunteer, Gavin Warner, Quang Anh Nguyen, Ansuk Jeong Jul 2025

Values And Barriers: A Multidimensional View Of College Students’ Motivations To Volunteer, Gavin Warner, Quang Anh Nguyen, Ansuk Jeong

DePaul Discoveries

University students tend to have ample access to many resources for volunteering and so are in a unique position among Americans. With all the benefits of volunteering outlined in past research, the students training to become leaders in their fields may have the most to gain from volunteerism. It is surprising, then, to note that young people are less likely to volunteer than other age groups. Why is it that college students tend to volunteer at such low rates? The current study seeks to answer this question through a mixed-methods survey. A qualitative section clarified which specific barriers students felt …

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“Put Me In Coach!”: The Impact Of College Sport Team’S Mentorship In Chronically Ill And Disabled Children And Adolescents Adherence To Medical Regimen, Jameela Askira Jul 2025

“Put Me In Coach!”: The Impact Of College Sport Team’S Mentorship In Chronically Ill And Disabled Children And Adolescents Adherence To Medical Regimen, Jameela Askira

DePaul Discoveries

The purpose of this study was to see if participation in TeamIMPACT, a program which matches ill children with college sports teams, aided chronically ill children and adolescents in adhering to their treatment regimen. This research is a part of a larger study where 25 child participants were interviewed via Zoom to answer questions regarding their time in the program, peer and family relationships, coping and resilience and other factors. The current study solely analyzed answers to questions regarding adherence to medical treatments. There were three measures: Child vs Parent Response, Treatment Regimen Components and Care Responsibility. Through a descriptive …

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Using Synchrotron Wide-Angle X-Ray Scattering To Study Collagen Degradation In Second Metacarpal Bones, Zeel Sheth, Misha Romanov, Ruby Schwieger Jul 2025

Using Synchrotron Wide-Angle X-Ray Scattering To Study Collagen Degradation In Second Metacarpal Bones, Zeel Sheth, Misha Romanov, Ruby Schwieger

DePaul Discoveries

The study examines female human second metacarpal (mc2) bones from early medieval cemetery at Greding, Germany, using high-energy Wide-Angle X-ray Scattering (WAXS) at beamline 1-ID of the Advanced Photon Source (APS) at Argonne National Laboratory. Rietveld refinement showed that carbonated apatite lattice parameters did not correlate with estimated age-at-death. For six of the mc2, widths of 00.2 and 00.4 diffraction peaks were substantially narrower than those of a modern (non-diagenetically altered) mc2 and of the other four ancient mc2. The peak width results are interpreted as indicating that four of the ten ancient mc2 retain substantial collagen and six of …

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Conical Radon Transform For Medical Imaging, Olivia Medina Jul 2025

Conical Radon Transform For Medical Imaging, Olivia Medina

DePaul Discoveries

The 2D Conical Radon transform is an alternate approach to medical imaging that is more efficient than the conventional method used in the PET Scan. Here, a 2D Conical Radon transform is used to reconstruct a function or image from a line integral on a 2-dimensional cone with a fixed angle and axis of symmetry at each data point. Implemented in MATLAB, this method uses a single Reimann Sum to produce images in a faster and less computationally expensive way. The V-Line transform is an alternative understanding of the 2D Conical Radon transform in which it is theoretically proven that …

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Modifications To The Spiral Array: A Computational Approach To Music Analysis, Rose Bittle Jul 2025

Modifications To The Spiral Array: A Computational Approach To Music Analysis, Rose Bittle

DePaul Discoveries

The Spiral Array is a geometric model of musical tonality and exists as a tool in computer-aided music analysis. The model was first published in 2000 by Elaine Chew, PhD, in her thesis, Towards a Mathematical Model of Tonality. This project aimed to restructure the Spiral Array, limiting user ambiguity and optimizing the application of musical key finding. The existing model defines pitch, chord, and key location to form a series of spirals dependent on a set of flexible weights. In our research we were able to identify potential issues with the pitch definitions themselves and experiment with methods …

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Exact Sampling Of The Six-Vertex Model Using Coupling From The Past, Malaeka Amir Jul 2025

Exact Sampling Of The Six-Vertex Model Using Coupling From The Past, Malaeka Amir

DePaul Discoveries

This paper aims to explore the six-vertex model through simulations designed to investigate the behavior of configurations under specific domain wall boundary conditions. To generate random configurations, we employ the Markov Chain Monte Carlo method while addressing the challenge of mixing times by utilizing the Coupling from the Past (CFTP) algorithm. Implemented in Python, our approach leverages CFTP to ensure exact sampling, avoiding the uncertainty of convergence in traditional Monte Carlo methods. We explore the monotonicity property within this framework and prove that it is only maintained by the steps of this algorithm for very particular values of the parameters.

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