Physical Sciences and Mathematics Commons^™

Topic Modeling On Reddit Data For Analysing Mental Health Issues Among College Students, Qing Chen, Dezjeron Dorsey, Mia Mcguire, Patricia Medina, Mark Hughes

Publications and Research

Mental health issues among college students have become a prevalent concern, and understanding the main struggles and factors that correlate with poor mental health is essential for institutions to provide better support. This project aims to analyze mental health issues among college students using data from the Reddit platform. By leveraging the Reddit API and employing advanced natural language processing techniques, including BERTopics, we seek to gain insights into the emotional well-being and challenges faced by college students. Incorporating techniques such as embedding, Clustering, and Topic Creation enhances the depth and sophistication of our analysis of mental health issues among …

Les Expositions Turnus, Une Page D’Histoire Transnationale Des Beaux-Arts En Suisse À La Fin Du Xixe Siècle. Et Comment Découvrir Les Humanités Numériques, Béatrice Joyeux-Prunel

Artl@s Bulletin

Cet article présente le travail de la classe d’introduction aux humanités numériques de l’Université de Genève sur les expositions Turnus en Suisse à partir des années 1840. Près de 50 catalogues ont été retranscrits, décrits et structurés à l’aide de scripts Python, puis géolocalisés. Les données ont été ajoutées à BasArt, le répertoire mondial de catalogues d’expositions d’Artl@s (https://artlas.huma-num.fr/map). Elles permettent de mieux comprendre les premières années de ces expositions et leurs dynamiques locales, fédérales et internationales. Le Turnus fut une plaque tournante pour les artistes suisses, voire un tremplin vers le marché européen de l’art.

Wiener Index In Graphs Given Girth, Minimum, And Maximum Degrees, Fadekemi J. Osaye, Liliek Susilowati, Alex S. Alochukwu, Cadavious Jones

Theory & Applications of Graphs

Let $G$ be a connected graph of order $n$. The Wiener index $W(G)$ of $G$ is the sum of the distances between all unordered pairs of vertices of $G$. The well-known upper bound $\big( \frac{n}{\delta+1}+2\big) {n \choose 2}$ on the Wiener index of a graph of order $n$ and minimum degree $\delta$ by Kouider and Winkler \cite{Kouider} was improved significantly by Alochukwu and Dankelmann \cite{Alex} for graphs containing a vertex of large degree $\Delta$ to $W(G) \leq {n-\Delta+\delta \choose 2} \big( \frac{n+2\Delta}{\delta+1}+4 \big)$. In this paper, we give upper bounds on the Wiener index of $G$ in terms of order …

Synthesis And Characterization Of Colorimetric And Flurometric Chemosensor For Trivalent Metal Ions, Fazila Haque

Honors Program Theses and Research Projects

There are many biological and environmental uses for trivalent metals (like Fe3+, Al3+, and Cr3+) within our daily lives. Whether these trivalent metals are found in deficiency or excess can cause issues within our environment (global warming) or our bodies (can cause problems with our digestive, cardiovascular, and immune systems). Being able to detect them and understanding their importance becomes crucial in our understanding of the world that surrounds us.
/="/">One of the ways we can detect these trivalent metals is through the use of chemosensors. Chemosensors are used to sense analyte (trivalent metal) to produce a signal (fluorescence …

A Framework For Implementing Data Integrity Program Enabling Mid-Size Financial Institutions To Meet United States Federal Reserve Data Quality Requirements For Model Risk Management, Divya Yadav

Theses and Dissertations

The purpose of this mixed-methods, action research study was to help financial institutions build and implement controls for data quality and integrity for model data input, allowing financial institution models to offer quality output or reports for quality business decisions by upper management. This mixed-methods study addressed three research questions. The quantitative question that was addressed was: To what extent does implementing a Data Integrity Program (DIP) influence the quality and integrity of model data input at different stages of Model Risk Management (MRM) in mid-size financial institutions? The qualitative portion of the study addressed two research questions which included: …

Re: Silver Bow Creek Butte Area Npl Site 3rd Quarter 2023 Butte Priority Soils Operable Unit Interim Site-Wide Surface Water Monitoring Data Report. Consent Decree- Civil Action No. Cv 89- 039-Bu-She, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Silver Bow Creek Butte Area Npl Site 3rd Quarter 2023 Butte Priority Soils Operable Unit Interim Site-Wide Surface Water Monitoring Data Report. Consent Decree- Civil Action No. Cv 89- 039-Bu-She, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Brain-Inspired Spatio-Temporal Learning With Application To Robotics, Thiago André Ferreira Medeiros

USF Tampa Graduate Theses and Dissertations

The human brain still has many mysteries and one of them is how it encodes information. The following study intends to unravel at least one such mechanism. For this it will be demonstrated how a set of specialized neurons may use spatial and temporal information to encode information. These neurons, called Place Cells, become active when the animal enters a place in the environment, allowing it to build a cognitive map of the environment. In a recent paper by Scleidorovich et al. in 2022, it was demonstrated that it was possible to differentiate between two sequences of activations of a …

Thermocatalytic Plasma-Assisted Dry Reforming Of Methane Over Ni/Al2o3 Catalyst, Tyler Wong

Seton Hall University Dissertations and Theses (ETDs)

Plasma catalysis is an advantageous approach that combines the effects of plasma with the enhancements of a catalyst. By utilizing a nickel catalyst in the plasma discharge zone of a dielectric barrier discharge (DBD), it can give an enhancement to the electrical field, boost microdischarges, and increase conversion and selectivity rates of CH₄ and CO₂ in the dry reforming of methane (DRM) reaction.

Industrial application of nickel catalysts in DBD Plasma DRM process are limited by poor stability, which is caused by the sintering of active metal particles and coke deposition on the catalyst surface. In this work, …

Using Quantitative And Kinetic Proteomics To Explore Proteostasis, Nathan Raul Zuniga Pina

Theses and Dissertations

Every cell consists of carefully orchestrated biomolecules such as lipids, carbohydrates, and proteins. To maintain internal stability (homeostasis), cells maintain the right amount of these molecules at the right time and at the right place. This process is especially true for proteins since they are the foundation functional units within the cell. Proteins form structures and perform chemistry that bestows cells overarching functional roles. Cells maintain protein homeostasis (proteostasis) by modulating synthesis, folding, and degradation processes (turnover) to maintain the abundance levels for all proteins. This is the foundational kinetic model of proteostasis that is covered in this work, and …

Human-Robot Collaboration For Smart Manufacturing: A Sustainable Solution To The Future Of Manufacturing, Weitian Wang

Sustainability Seminar Series

Robotics technology has served humans in numerous application fields, especially product assembly in manufacturing contexts. Global competitors and technological advancements result in great challenges and much more complicated working environments for the manufacturing. Human-robot collaboration (HRC) has numerous vital and outstanding advantages to substantially lessen the amount of fixed production costs in comparison to variable costs. HRC provides a great solution to the complex hybrid manufacturing tasks. The cooperation of humans and robots in collaborative tasks can take advantage of the differing strengths from both sides. In this talk, I will give a broad introduction of robotics research and education …

Analysis Of Pharmaceutical Residues In Wastewater From A Ain, United Arab Emirates Using Liquid Chromatography-Tandem Mass Spectrometry And Circular Dichroism:Potential Hazardous Emergent Contaminants, Maya Iyad Berakdar

Thesis/ Dissertation Defenses

Although water is the second essential substance to life after air, clean water resources in many regions of the world have become limited because of climate change, establishing rivers’ dams and contaminations with hazardous life-threatening chemicals. Pharmaceutical residues in aquatic environments have been recognized as emerging contaminants causing adverse ecological and human health risks. Hundreds of pharmaceutical compounds and their metabolites were found in surface, underground, drinking and sewage waters in many countries. In United Arab Emirates, millions of drugs' dosages are annually used for human, poultry, and veterinary treatments. Drugs execrated as unchanged, metabolites or excesses can find their …

Is Your Computer Lying? Ai And Deception, Noreen L. Herzfeld

Reuter Professorship of Science and Religion Publications

Recent developments in AI, especially the spectacular success of Large Language models, have instigated renewed questioning of what remains distinctively human. As AI stands poised to take over more and more human tasks, what is left that distinguishes humans? One way we might identify a humanlike intelligence would be when we detect it telling lies. Yet AIs lack both the intention and the motivation to truly tell lies, instead producing merely bullshit. With neither emotions, embodiment, nor the social awareness that leads to a theory of mind, AIs lack the internal referents on which to judge truth or falsity. When …

Association Between Viral Infections And Glioma Risk: A Two-Sample Bidirectional Mendelian Randomization Analysis, Sheng Zhong, Wenzhuo Yang, Zhiyun Zhang, Yangyiran Xie, Lin Pan, Jiaxin Ren, Fei Ren, Yifan Li, Haoqun Xie, Hongyu Chen, Davy Deng, Jie Lu, Hui Li, Bo Wu, Youqi Chen, Fei Peng, Vinay K Puduvalli, Ke Sai, Yunqian Li, Ye Cheng, Yonggao Mou

Faculty, Staff and Student Publications

Background: Glioma is one of the leading types of brain tumor, but few etiologic factors of primary glioma have been identified. Previous observational research has shown an association between viral infection and glioma risk. In this study, we used Mendelian randomization (MR) analysis to explore the direction and magnitude of the causal relationship between viral infection and glioma.

Methods: We conducted a two-sample bidirectional MR analysis using genome-wide association study (GWAS) data. Summary statistics data of glioma were collected from the largest meta-analysis GWAS, involving 12,488 cases and 18,169 controls. Single-nucleotide polymorphisms (SNPs) associated with exposures were used as instrumental …

Dwarf Galaxies Show Little Ism Evolution From Z ∼ 1 To Z ∼ 0: A Spectroscopic Study Of Metallicity, Star Formation, And Electron Density, John Pharo, Yicheng Guo, Guillermo Barro Calvo, Teja Teppala, Fuyan Bian, Timothy Carleton, Sandra Faber, Puragra Guhathakurta, David C. Koo

Pacific Faculty Work

We present gas-phase metallicity measurements for 583 emission line galaxies at 0.3 < z < 0.85, including 388 dwarf galaxies with log ( M ⋆ / M ⊙ ) < 9.5 , and explore the dependence of the metallicity on the stellar mass and star formation (SF) properties of the galaxies. Metallicities are determined through the measurement of emission lines in very deep (∼7 hr exposure) Keck/DEIMOS spectra taken primarily from the HALO7D survey. We measure metallicity with three strong-line calibrations (O3Hβ, R23, and O3O2) for the overall sample, as well as with the faint [Ne iii]λ3869 and [O iii]λ4363 emission lines for 112 and 17 galaxies where robust detections were possible. We construct mass-metallicity relations (MZR) for each calibration method, finding MZRs consistent with other strong-line results at comparable redshift, as well as with z ∼ 0 galaxies. We quantify the intrinsic scatter in the MZR as a function of mass, finding it increases with lower stellar mass. We also measure a weak but significant correlation between increased MZR scatter and higher specific star formation rate (SFR). We find a weak influence of SFR in the fundamental metallicity relation as well, with an SFR coefficient of α = 0.21. Finally, we use the flux ratios of the [O ii]λ λ 3727,3729 doublet to calculate gas electron density in ∼1000 galaxies with log ( M ⋆ / M ⊙ ) < 10.5 as a function of redshift. We measure low electron densities (n e ∼ 25 cm⁻³) for z < 1 galaxies, again consistent with z ≈ 0 conditions, but measure higher densities (n e ∼ 100 cm⁻³) at z > 1. These results all suggest that there is little evolution in star-forming interstellar medium conditions from z ∼ 1 to z = 0, confirmed with a more complete sample of low-mass galaxies than has previously been available in this redshift range.

Formulation Of Causality-Preserving Quantum Time Of Arrival Theory, Denny Lane B. Sombillo, Neris I. Sombillo

Physics Faculty Publications

We revisit the quantum correction to the classical time of arrival to address the unphysical instantaneous arrival in the limit of zero initial momentum. In this study, we show that the vanishing of arrival time is due to the contamination of the causality-violating component of the initial wave packet. Motivated by this observation, we propose to update the temporal collapse mechanism in Galapon (2009) [18] to incorporate the removal of causality-violating spectra of the arrival time operator. We found that the quantum correction to the classical arrival time is still observed. Thus, our analysis validates that the correction is an …

Oregon State Rank Assessment For Bonneville Redside Shiner (Richardsonius Balteatus Hydrophlox), Misty Nelson

Institute for Natural Resources Publications

Oregon state conservation status assessment for Bonnevile redside shiner (Richardsonius balteatus hydrophlox) using NatureServe methodology, 2023.

Exploring The Impact Of Signal Quality Enhancement On Heart Sound Classification Models, Davoud Shariat Panah, Andrew Hines, Susan Mckeever

Articles

Limited cardiology resources increase the urgency for automated heart disease screening for the general public. Heart sound diagnostic models have been recently employed as a cost-effective solution for the initial screening of heart disease. Noise in heart sound recordings, however, can reduce the performance of such data-driven models. Various quality enhancement approaches have been adopted to alleviate the destructive impact of noise on model performance. One approach is universal noise reduction which applies denoising techniques to recordings, irrespective of their noise level. The second approach is targeted noise reduction, which applies denoising solely to recordings deemed to need it, based …

Development Of An App For The Kalamazoo Nature Center, Ernest Au

Honors Theses

Kalamazoo Nature Center (KNC), which has been recognized by its peers as one of the top nature centers in the country, is home to over 14 miles of hiking trails winding through woods, wetlands, and prairies. There are numerous places/plots in KNC that have an interesting and impressive history besides being home to a variety of animals and hundreds of wildflowers and other plant life. To improve the visitor’s experience at KNC, we will design a software app via the senior capstone project at the department of Computer Science at WMU. As the first step towards establishing a reference model …

Uniquely Tailored Ionic Materials For Implementation In Energy, Imagining, And Antibacterial Applications, Amanda Jalihal

Theses and Dissertations

In this dissertation, the novel class of ionic materials is explored. Ionic materials are easily tuned and tailored to fit a wide variety of applications. The synthesis of ionic materials is extremely simple and prompt. Briefly, two ionic moieties are joined electrostatically through a double displacement resulting in a new compound without complicated synthesis. This process leads to a close proximity of the ions which allows for enhancement of the FRET mechanism between a fluorophore and chromophore. A potential application of a FRET active ionic material is explored as a photosensitizer using IR820 and Nile Blue A. The ionic material, …

Overcoming Foreign Language Anxiety In An Emotionally Intelligent Tutoring System, Daneih Ismail

College of Computing and Digital Media Dissertations

Learning a foreign language entails cognitive and emotional obstacles. It involves complicated mental processes that affect learning and emotions. Positive emotions such as motivation, encouragement, and satisfaction increase learning achievement, while negative emotions like anxiety, frustration, and confusion may reduce performance. Foreign Language Anxiety (FLA) is a specific type of anxiety accompanying learning a foreign language. It is considered a main impediment that hinders learning, reduces achievements, and diminishes interest in learning.

Detecting FLA is the first step toward reducing and eventually overcoming it. Previously, researchers have been detecting FLA using physical measurements and self-reports. Using physical measures is direct …

Resonance Raman Spectra And Excited State Properties Of Methyl Viologen And Its Radical Cation From Time-Dependent Density Functional Theory, Umut Ozuguzel, Adelia J.A. Aquino, Reed Nieman, Shelley D. Minteer, Carol Korzeniewski

Chemistry Faculty Research & Creative Works

Time-dependent density functional theory (TDDFT) was applied to gain insights into the electronic and vibrational spectroscopic properties of an important electron transport mediator, methyl viologen (MV2+). an organic dication, MV2+ has numerous applications in electrochemistry that include energy conversion and storage, environmental remediation, and chemical sensing and electrosynthesis. MV2+ is easily reduced by a single electron transfer to form a radical cation species (MV•+), which has an intense UV–visible absorption near 600 nm. the redox properties of the MV2+/MV•+ couple and light-sensitivity of MV•+ have made the system appealing for photo-electrochemical energy conversion (e.g., solar hydrogen generation from water) and …

A Generalized Kodaira Vanishing Theorem For Lie Algebroids And A Riemann–Roch Theorem For Singular Foliation, Tengzhou Hu

Arts & Sciences Graduate Student Theses and Dissertations

A Lie algebroid is a generalization of Lie algebra that provides a general framework to describe the symmetries of a manifold. In this thesis, we first generalize the Kodaira vanishing theorem, which is a basic result in complex geometry, to K\"{a}hler Lie algebroids. The generalization of the Kodaira vanishing theorem states that the kernel of the Lie algebroid Laplace operator on Lie algebroid positive line bundle-valued $(p,q)$-forms vanishes when $p+q$ is sufficiently large. The most difficult part of the proof of the generalized Kodaira vanishing theorem is the generalization of the K\"{a}hler identities to Lie algebroids. Secondly, we introduce Lie …

Tiny Drifters Amidst Global Change: Examining Environmental Drivers, Trophic Impacts, And Management Strategies Of Estuarine Plankton Communities In The Anthropocene, Taylor Nicole Dodrill

Dissertations and Theses

Plankton productivity supports estuarine food webs, and has been tied to the success of fisheries, macroinvertebrates, and cultured shellfish yields. Climate change and alterations to nutrient loads are thought to be influencing plankton assemblages, with toxin-producing harmful algal blooms (HABs) on the rise and nutritional quality of plankton declining globally. These shifts in plankton communities may contribute to low biomass yields and toxin-based closures of important fisheries. The objectives of this dissertation are to identify environmental drivers, trophic impacts, and management strategies to understand and respond to changing estuarine plankton communities. To address these objectives, I used a combination of …

Climate Change Adaptations Across The Global South, Arnaud Kurze, Tanzin Naher

Sustainability Seminar Series

This research talk provides a preliminary project overview drawing from archival work on Guinea at the Library of Congress and fieldwork carried out in Summer 2023 in Bangladesh. Drawing on the 2023 International Joint Initiative for Research in Climate Change Adaptation and Mitigation objectives, the project focuses on coastal and rural populations in Bangladesh and Guinea, who are not only physically exposed to the heightened risks for climate change, including floods, but also socioeconomically vulnerable, due to limited resources to respond to increased rainfall and the impact on agricultural production. The project design is based on an integral collaboration between …

Teaching Reproducibility To First Year College Students: Reflections From An Introductory Data Science Course, Brennan L. Bean

Journal on Empowering Teaching Excellence

Access the online Pressbooks version of this article here.

Modern technology threatens traditional modes of classroom assessment by providing students with automated ways to write essays and take exams. At the same time, modern technology continues to expand the accessibility of computational tools that promise to increase the potential scope and quality of class projects. This paper presents a case study where students are asked to complete a “reproducible” final project in an introductory data science course using the R programming language. A reproducible project is one where an instructor can easily regenerate the results and conclusions from the submitted …

On The Hardness Of The Balanced Connected Subgraph Problem For Families Of Regular Graphs, Harsharaj Pathak

Theory & Applications of Graphs

The Balanced Connected Subgraph problem (BCS) was introduced by Bhore et al. In the BCS problem we are given a vertex-colored graph G = (V, E) where each vertex is colored “red” or “blue”. The goal is to find a maximum cardinality induced connected subgraph H of G such that H contains an equal number of red and blue vertices. This problem is known to be NP-hard for general graphs as well as many special classes of graphs. In this work we explore the time complexity of the BCS problem in case of regular graphs. We prove that the BCS …

The Vulnerabilities To The Rsa Algorithm And Future Alternative Algorithms To Improve Security, James Johnson

Cybersecurity Undergraduate Research Showcase

The RSA encryption algorithm has secured many large systems, including bank systems, data encryption in emails, several online transactions, etc. Benefiting from the use of asymmetric cryptography and properties of number theory, RSA was widely regarded as one of most difficult algorithms to decrypt without a key, especially since by brute force, breaking the algorithm would take thousands of years. However, in recent times, research has shown that RSA is getting closer to being efficiently decrypted classically, using algebraic methods, (fully cracked through limited bits) in which elliptic-curve cryptography has been thought of as the alternative that is stronger than …

An Efficient Optimal Solution Method For Neutrosophic Transport Models: Analysis, Improvements, And Examples, Maissam Jdid, Florentin Smarandache

Neutrosophic Systems with Applications

Transport issues aim to determine the number of units that will be transferred from the production centers to consumption areas so that the cost of transportation is as low as possible, taking into account the conditions of supply and demand. Due to the great importance of these issues and to obtain more accurate results that take into account all circumstances, we conducted two research studies. In the first research, we presented a formulation of neutrosophic transport issues, and in the second research, we presented some ways to find a preliminary solution to these issues, but we do not know whether …

Comparative Synthesis Of Mil-100 Fe From Iron (Iii) And Ground Iron Characterization And Porous Property Evaluation, Animesh Dali '24, Khanh Nguyen '24, Hilary J. Eppley

Annual Student Research Poster Session

MIL-100(Fe) is an iron-based metal-organic framework (MOF) known for its porous structure, crucial in various applications like gas storage, catalysis, drug delivery, and pollutant adsorption. In medical contexts, MIL-100(Fe) can encapsulate drugs, safeguarding them from unwanted interactions. These frameworks release drugs in specific conditions, ensuring targeted delivery. Our study investigated drug encapsulation using isoniazid (INH) and a structurally similar drug, Acetaminophen. We employed XRD, SEM imaging, Fourier Transform Infrared Spectroscopy, and UV-Vis Spectroscopy for material characterization and to probe drug absorption and delivery mechanisms.