Physical Sciences and Mathematics Commons^™

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, …

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 …

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 …

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 …

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 …

“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 …

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 …

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 …

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 …

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.

Modified 2-Quinolinones For Photocatalysis: The Fluorescence Quantum Yield (Φf) Of Novel 2-Quinolinone Derivatives, Reggina Moreno Trevino, Graham Griffin

DePaul Discoveries

The photophysical properties of novel 2-quinolinone derivatives were examined to evaluate their potential as photocatalysts using fluorescence and UV-Vis absorbance spectroscopy. The fluorescence quantum yields were determined via the relative comparative method, using target absorbance values at a specific wavelength to prepare solutions and comparing these measurements to the reference molecule carbostyril-124. Molar absorptivity values were also calculated to assess the light absorption properties for each compound. Among the derivatives, PAV-3 presented with the highest molar absorptivity and fluorescence quantum yield values (ε= 15297.3 M-1 cm-1, ΦF= 17.1%), while PAV-5 showed the lowest (ε= 4796.2 M-1 cm-1, ΦF= 2.3%). The …

Race/Ethnicity, Living Arrangements, And Access To Healthcare Among Older Adults With Alzheimer’S Disease In The United States: Multiple Systematic Reviews In Relation To Health Outcomes, Chela Reiss, Grace Vethacke

DePaul Discoveries

Alzheimer’s disease (AD) is a neurodegenerative condition primarily affecting older adults. It is a growing public health crisis that affects memory, thinking, and behavior. The number of adults aged 65 and older is projected to reach 98.2 million by 2060, leading to a continued rise in the prevalence of AD. Understanding the socioeconomic factors that influence health outcomes in patients with Alzheimer's Disease and Related Dementias (ADRD) is essential in addressing the disparities within patient care and quality of life. This systematic review examined three socioeconomic factors - race/ethnicity, living arrangements, and access to healthcare - and their related health …

Depaul Discoveries Volume 14 Cover Art, Reggina Moreno Trevino

DePaul Discoveries

No abstract provided.

Six Steps To A Successful Study Abroad Program: Case Study In Stockholm, Sweden, Bryan R. Burton

csuglobalaction

This article is meant to serve as a guide for developing a short-term (typically 2 to 3 weeks long) faculty-led study abroad program. I will focus solely on my work in Stockholm, Sweden during summer 2023. This article will be particularly helpful to faculty members who are new to developing their own study abroad programs. I have six suggested steps for developing a successful faculty-led program. These six steps include:

1. thinking about what you want for students and your own career;

2. building on-campus partnerships;

3. Recruiting and supporting students as early as possible;

4. making the program itinerary interactive and rewarding for …

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An Analysis Of Fast Radio Bursts, Alessandro Tripoli

Discovery Day (formerly Post & Beyond)

Fast radio bursts (FRBs) were recently discovered in 2007 and have been a mystery ever since. The purpose of this study is to analyze progenitor models of possible origin. Despite their large energies, these bursts appear only in the radio band of the electromagnetic spectrum. Out of the 33 measured FRBs, only one has been observed to repeat (FRB 121101). In this work the significance of important properties such as the dispersion measure, Faraday rotation, and magnetic fields is discussed. The most persuasive progenitor models including binary neutron star mergers, soft gamma ray repeaters (SGRs), Gamma ray bursts (GRBs), merging …

Carbon Dioxide Conversion To Value-Added Products Over Fe Based Heterogeneous Catalysts, Alessandro Tripoli

Discovery Day (formerly Post & Beyond)

Carbon dioxide (CO₂) is a well-known greenhouse gas, which traps heat in the atmosphere causing global warming. The purpose of this study is to develop novel iron (Fe) based catalysts to convert CO₂ to value added chemicals such as carbon monoxide (CO), methane, ethylene, ethane and fuels. In this work, the heterogeneous Fe-based catalysts were synthesized via a wetness incipient impregnation method. The synthesized catalysts were tested for CO₂ hydrogenation through a flow bed reactor with controlled CO₂ and hydrogen (H₂) flow rate and on-line gas chromatography analysis to determine the catalyst performance …

Development Of Iron Based Heterogeneous Catalysts For Methane Conversion, Alessandro Tripoli

Discovery Day (formerly Post & Beyond)

Methane, main component of natural gas, is an abundant, inexpensive, and easily accessible resource due to the recent discoveries of natural gas reservoir in US. The purpose of this work is to convert methane to value-added product such as methanol. Methanol can be directly used as a liquid fuel and as a raw material for other industrial process. In this work, a series of novel iron-based catalysts supported on silicon carbide and zirconium oxide were designed and synthesized via a wetness incipient impregnation method. The synthesized catalysts were tested for CH₄ oxidation with O₂ through a flow bed …

Benford's Law In Basic Rnn And Long Short-Term Memory And Their Associations, Farshad Ghassemi Toosi

Department of Computer Science Publications

Benford's Law describes the distribution of numerical patterns, specifically focusing on the frequency of the leading digit in a set of natural numbers. It divides these numbers into nine groups based on their first digit, with the largest category comprising numbers beginning with 1, followed by those starting with 2, and so on. Each neuron within a neural network (NN) is associated with a numerical value called a weight, which is updated according to specific functions. This research examines the Degree of Benford's Law Existence (DBLE) across two language model methodologies: (1) recurrent neural networks (RNNs) and (2) long short-term …

Dynamics Of Random Graphs And Interacting Particle Systems, Aritra Mandal

Doctoral Theses

The talk will be based on the thesis which has broadly two objectives. In the first part of the thesis we study a certain random dynamics of discrete sparse graphs on n vertices(based on the Moran model) and understand the limit as n goes to infinity. In the second part of the thesis we provide a trajectorial representation for a semi linear parabolic partial differential equation. In this talk we will mainly focus on the results concerning the dynamics of sparse graphs. We will begin with the preliminaries of the sparse graphs and convergences. Following which we will define the …

The Impact Of Artificial Intelligence As An Intervening Variable Between The Digital Government Strategy And Competency Development "An Applied Study At Sharjah Police Sciences Academy ", Elsayed Kamal Risha, Abd Al-Rahman Al-Naqbi

Journal of Police and Legal Sciences

The study aimed to determine the impact of the digital government strategy on competencies development, through artificial intelligence as an intervening variable, and to achieve the objectives, the study relied on the quantitative approach and the questionnaire was used as the main tool for collecting data. The study community represented officers, non-commissioned officers and individuals at the Sharjah Academy for Police Sciences, and the study sample amounted to 30 affiliates, i.e. the total number of employees in the Competency Development Department at the Academy. The study reached a set of results, the most prominent of which are:

- The existence …

Concentration And Composition Of Organic Contaminants In Blackfin Tuna, Yellowfin Tuna, And The Common Clubhook Squid In The Western Gulf Of Mexico, Lisa Rose-Mann

USF Tampa Graduate Theses and Dissertations

Cephalopods are an important component of pelagic food webs. They play ecological roles not only as predators but also as prey. However, their role as prey in the trophic transfer of organic contaminants to apex predators such as tunas in the Gulf of Mexico (GoM) is not well known. To investigate the importance of cephalopods in tuna diets, stomach samples were collected in February 2020 from tunas caught by rod and reel aboard the F/V Gulf Eagle near two large offshore floating oil/gas platforms in the northwestern GoM. Cephalopod samples were obtained from gut content analysis of 41 tunas caught …

Electroexcitation Of Nucleon Resonances And Emergence Of Hadron Mass, Patrick Achenbach, Daniel S. Carman, Ralf Gothe, Kyungseon Joo, Victor I. Mokeev, Craig D. Roberts

Faculty Publications

Developing an understanding of phenomena driven by the emergence of hadron mass (EHM) is one of the most challenging problems in the Standard Model. This discussion focuses on the impact of results on nucleon resonance (N*) electroexcitation amplitudes (or γ_vpN*) obtained from experiments during the 6 GeV era in Hall B at Jefferson Lab on understanding EHM. Analyzed using continuum Schwinger function methods (CSMs), these results have revealed new pathways for the elucidation of EHM. A good description of the Δ (1232) 3/2⁺, N (1440) 1/2⁺, and Δ (1600) 3/2^{+ …}

Strichartz Estimates For Many Particle Dispersive Equations, Tristan Reynoso

LSU Doctoral Dissertations

Dispersive equations are useful for describing a wide variety of phenomena in which solutions disperse through the space as time progresses. These equations show up frequently in physics, especially when studying quantum mechanical and fluid related systems. The single particle variants of equations such as the Schr\"{o}dinger and Wave equations have been studied at great length throughout modern history. Over the last couple decades progress has been made toward extending single particle dispersive equations to cover their many body counterparts. Space-time Strichartz estimates for the homogenous $N$-particle Schr\"{o}dinger equation with small interacting potentials was recently established on both $\mathbb{R}^d$ and …

Deep Learning For Absorption-Image Analysis, Jacob Morrey, Isaac Peterson, Robert H. Leonard, Joshua M. Wilson, Francisco Fonta, Matthew B. Squires, Spencer E. Olson

Space Dynamics Laboratory Publications

The quantum state of ultracold atoms is often determined through measurement of the spatial distribution of the atom cloud. Absorption imaging of the cloud is regularly used to extract this spatial information. Accurate determination of the parameters which describe the spatial distribution of the cloud is crucial to the success of many ultracold atom applications. In this work, we present modified deep learning image classification models for image regression. To overcome challenges in data collection, we train the model on simulated absorption images. We compare the performance of the deep learning models to least-squares techniques and show that the deep …

Artificial Turf Versus Natural Grass: A Case Study Of Environmental Effects, Health Risks, Safety, And Cost, Iman S. Cumberbatch, Leonard Richardson, Emma Grant-Bier, Mustafa Kayali, Mutanu Mbithi, Roberto F. Riviere, Eline Xia, Hailey Spinks, Gabrielle Mills, Amy R. Tuininga

PSEG Institute for Sustainability Studies Publications

While natural grass has been a reliable recreational surface for decades, artificial turf has gained popularity due to its durability, supposed ability to save water, and lower associated costs for municipalities and schools. Growing environmental and health concerns associated with artificial turf have prompted a necessary comparison of the environmental impact, chemical exposure, injury rates, surface heat, and costs of turf with natural grass. The township of Verona, New Jersey, engaged the PSEG Institute for Sustainability Studies’ Green Teams Program interns to perform an environmental impact assessment, literature review, and cost–benefit analysis to determine if the township should restore an …

Legislative And Security Confrontation Of Crimes Artificial Intelligence In The State Of Kuwait (An Analytical Study), Rashid Mohammed Al Marri

Journal of Police and Legal Sciences

The study aimed to demonstrate the mechanisms of legislative and security confrontation of artificial intelligence crimes. The use of technologies associated with artificial intelligence may go beyond the imposed limits, whether by exploiting it through its program developers & specialists to commit crimes in the cyber field, or it may be with the growing capabilities of artificial intelligence to make decisions in the field. Many behaviors occur automatically. Our research also aims to study the criminal responsibility for these crimes, & determine it in order to hold the real perpetrator accountable in accordance with the legal rules in force to …

Data Supporting The Paper "Enhancing Turbulent Mixing And Microphysical Uniformity In A Tall Convection-Cloud Chamber Through Idealized Heterogeneity Of Boundaries", Lois Thomas, Fan Yang, Aaron Wang, Mikhail Ovchinnikov, Kyle G. Pressel, Raymond Shaw

Michigan Tech Research Data

A large convection cloud chamber has been proposed for exploring aerosol–cloud–drizzle interactions under well-controlled turbulent conditions. Recent theoretical and numerical studies suggest that a convection cloud chamber with two heated and two cooled sidewalls can significantly enhance the liquid water content and thus benefit drizzle initiation. However, a chamber with such a sidewall configuration develops stable stratification and extremely weak turbulence therein. In this study, we conduct large-eddy simulations of a tall convection chamber with five different sidewall configurations consisting of alternating warm and cold patches. For each configuration, the total surface area of warm patches equals that of cold …

Microplastics In The Mississippi, Jozey Goodall

Arts & Sciences Undergraduate Showcase

This poster explores the presence and impact of microplastics in the Mississippi River through the analysis of two research studies. The first study examined surface water samples to measure microplastic concentration and to assess how land use and geography influence their distribution along the river. The second study looks in on identifying microplastics in the digestive systems of fish collected from different locations along the river. Both studies have shown that microplastics are widespread throughout the river, with higher levels found downstream and in highly populated areas. The research highlights the ways in which microplastics enter freshwater environments, from urban …

Unified Hybrid Censoring Samples From Power Pratibha Distribution And Its Applications, Mahmoud Mansour, Hebatalla H. Mohammad Dr, Khalaf S. Sultan Prof.

Basic Science Engineering

This paper suggests an extensive inferential method for the Power Pratibha Distribution (PPD) under Unified Hybrid Censoring Schemes (UHCSs), since there is a growing interest in flexible models in both reliability and service operations. This work studies the PPD model using standard Maximum Likelihood Estimation methods and modern Bayesian approaches too. Using a complex architecture, UHCS simulates tests more closely to what is done in practice than by using more basic censoring schemes. Using analysis, the probability and statistical ranges are carefully calculated for the parameters. Tests demonstrate that Bayesian estimation gives better results than many other methods for estimation, …

Mitigation Behaviors Of Homeowners And Renters In The Wildland Urban Interface, Aishwarya Borate, Omar Pérez Figueroa, Douglas Houston, Christopher Ihinegbu, Ariane Jong-Levinger, Jochen E. Schubert, Brett F. Sanders

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Residential development within the wildland-urban interface (WUI) has greatly expanded in the United States since the 1990s, amplifying wildfire risk by placing people and structures in greater proximity to flammable vegetation. Household wildfire mitigation actions can vary substantially by cost, knowledge required, and perceived effectiveness, but few studies have examined them separately and how their adoption varies by housing tenure in the context of wildfires. To address this gap, we surveyed residents living in WUI areas within Southern California near recent burn scars in the Santa Ana and San Bernardino Mountain ranges. Drawing on the Protection Motivation Theory and the …