Digital Commons Network^™

Chemical And Structural Design Of Single Molecule Switches, Elaina Grogg

Longwood Senior Thesis Proposal

No abstract provided.

Autonomous Driving Trajectory Prediction, Carlos Funes

Undergraduate Research Symposium Lightning Talks

Autonomous driving is undoubtedly one of the world's most revolutionary technologies, opening the door to a more secure traffic environment. This innovation has led to vehicles being able to drive by themselves without the necessity of a person behind the wheel, as well as cruise control, lane-keeping assist, and automatic emergency braking. Unfortunately, there is still plenty of work before autonomous driving becomes more popular among drivers. While at UNLV as an undergraduate student/research assistant, one of my goals is to learn how these technologies work to bring ideas into the automotive industry by refining solutions to problems within these …

It's Not As Bad As You Think: Detecting Ai-Generated Voices, Yong Qin Xu

Undergraduate Research Symposium Lightning Talks

Advances in machine learning have opened up the world to a brand new frontier of fraudulent phone calls which the average person may not be in any way prepared for. From imitations of a loved one's voice to lifelike mimicry of human callers, telephone scams may become harder than ever to anticipate or prevent now that criminals have the help of AI on their side. This is why in my research paper, I aim to analyze and compare two existing methods of detecting the authenticity of human voice recordings in order to demonstrate and explain currently available technology that's capable …

Climate Change And Its Effects On Maternal Mental Health, Sara Cordero

Undergraduate Research Symposium Lightning Talks

Climate change refers to long-term shifts in temperatures and weather patterns primarily caused by human activities, which have facilitated more climate crises, such as floods, wildfires, hurricanes, etc. They tend to have the greatest effect on vulnerable populations, such as women and children. This study is aimed to view how climate change-related environmental stressors impact the mental health and well-being of mothers. A scoping literature review approach was used by analyzing scientific databases (i.e. APA-Psycinfo, Scopus, PRIMO) to find peer-reviewed papers that studied the effects of extreme weather events and climate change on maternal mental health. Results suggest that hurricanes, …

A Simple And Low-Cost Method For Generating Short Laser Pulses, Daniel Fisher

Undergraduate Research Symposium Posters

A simple, portable method is described and demonstrated for generating short optical pulses (~ 1 μsec) from a continuous wave (CW) source using a rotating pinhole. A CW 633nm HeNe beam was focused onto a 225 μm diameter stainless steel pinhole, which was rotated up to 1000 Hz using an optical chopper wheel. The pulsed light was then focused onto a silicon photodetector and read by an oscilloscope. This novel setup aims to bridge the gap between pulsed laser performance and price for wide application in spectroscopy methods, industrial laser peening, and medical treatments. This will be the first publication …

Impact Of Young Biocrust On Dryland Surface Albedo, Rhynhardt Mudde, Rebekah Magness, Raul Roman, Nicole Pietrasiak

Undergraduate Research Symposium Posters

More than 40% of the Earth’s surface is covered by drylands. Due to limited availability of water, less surface area is covered by vascular plants. Instead, this space is occupied by microbial communities that exist in close contact with mineral soil, creating a living aggregate on the upper soil layer and are known collectively as biological soil crusts or “biocrusts”. Biocrusts play a vital role in ecosystem functioning in drylands specifically through their influence on hydrological processes (e.g., water retention, infiltration). However, the impact of biocrusts on evaporation is not well understood. Biocrusts have been reported to either increase or …

Assessing Ectomycorrhizal Advantage On Tree Species Within Differing Soil Materials In Spring Mountains, Nevada, Kirsten Soriano, Riley Jones, Daniel Thompson

Undergraduate Research Symposium Posters

Ectomycorrhizal fungi (ECM) form symbiotic relationships with their partner plant, creating root systems which allow for the exchange of nutrients among connected plants. The Spring Mountains National Recreation Area (NRA) in Southern Nevada is the study site for examining ECMs due to its diverse ecosystem with numerous inhabiting species. To assess the effects of ECMs on the tree composition, literature review was conducted to outline previous methods. Through data analysis and observations of the sample sites, it is concluded that ECMs are highly likely to have an effect on tree composition of the Spring Mountains NRA. The purpose of this …

Utilizing A Hybrid Apprach To Link Maternal And Neonatal Records, Vidhani S. Goel, Ana Reyes, Bertille Assoumou, Dodds P. Simangan, Farooq Abdulla, Megumi Akiyama, Deborah A. Kuhls, Kavita Batra

Undergraduate Research Symposium Posters

Linkage of independent datasets allows comprehensive and robust analysis. This study aims to utilize a hybrid strategy to link maternal records with neonatal data with an overarching goal of investigating correlates of adverse birth outcomes.

To link 126,757 records from Nevada Medicaid with 249,181 maternal records from Birth Registry, a hybrid linkage approach was utilized. Data normalization was first performed for the standardization of linkage keys. First, a deterministic approach was used to link these records using a unique identifier followed by a fuzzy or probabilistic algorithm using a set of block variables. These block variables included date of birth, …

Effects Of Fire Temperatures On Mojave Desert Native And Nonnative Seeds, Sophia Lorenzana, Lindsay Chiquoine

Undergraduate Research Symposium Posters

Large-scale wildfires have been historically rare in hot deserts like the Mojave, largely due to the scarcity or uneven distribution of native plant biomass as fuel. Thus, native plants in these regions are ill-adapted to withstand spreading wildfire, resulting in slow post-fire recovery. Here, I test the hypothesis that nonnative grasses respond better to heat cues than native plant species. Seeds from 3 invasive and 13 native plant species were collected from research sites located in the eastern Mojave Desert, near surrounding Clark County Flood Control District weather stations. Seeds were buried in an artificial substrate mimicking field soil conditions …

Characterizing The Mechanical And Visoelastic Properties Of Sodium Alginate, Vesper Evereux

Undergraduate Research Symposium Posters

A crucial part of tissue engineering lies in understanding and characterizing the mechanical and viscoelastic properties of various types of biomaterials. Understanding these properties allows better biomaterials to be produced with characteristics more similar to those of the human body and with better biocompatability. In this study, sodium alginate was chemically crosslinked with calcium chloride and subsequently tested for it's instantaneous Elastic Modulus, instantaneous Shear Modulus, and equivalent viscosity using indentation testing methods consisting of a stress-relaxation test and nonlinear curve-fitting analysis. Two and three millimeter indentation tests were performed using a low-cost and portable device built in-lab that resulted …

Detection Of Methane Leaks By The Use Of Mid-Range Infrared Camera, Jared Rosario, Oscar Salcido

Undergraduate Research Symposium Posters

Timely detection of methane leaks from natural gas infrastructure, like pipelines and valves, is essential for mitigating environmental and safety risks. This research focuses on using mid-wave infrared (MwIR) cameras on unmanned aerial systems (UAS) to detect leaks. By leveraging machine learning, the study aims to develop an efficient, real-time methane inspection system that operates directly on embedded processors on UAS platforms.

This project employs the FLIR G300a OGI camera for remote gas inspection, utilizing video preprocessing and optical flow to mask gas plumes in footage. The YOLOv8 deep learning model is used to detect gas pixels and segment the …

Predicting Cloud-To-Ground Lightning In The Western United States From The Large-Scale Environment Using Explainable Neural Networks, Dmitri A. Kalashnikov, Frances V. Davenport, Zachary M. Labe, Paul C. Loikith, John T. Abatzoglou, Deepti Singh

Geography Faculty Publications and Presentations

Lightning is a major source of wildfire ignition in the western United States (WUS). We build and train convolutional neural networks (CNNs) to predict the occurrence of cloud-to-ground (CG) lightning across the WUS during June-September from the spatial patterns of seven large-scale meteorological variables from reanalysis (1995-2022). Individually trained CNN models at each 1° × 1° grid cell ( = 285 CNNs) show high skill at predicting CG lightning days across the WUS (median AUC = 0.8) and perform best in parts of the interior Southwest where summertime CG lightning is most common. Further, interannual correlation between observed and predicted …

Toward Dissolving The Institutionalization Of “Othering”: Organizational Conditions That Support Shared Responsibility, Jennifer R. Cowhy, Lok-Sze Wong, Megan Hopkins

Counseling, Leadership, and Research Methods Faculty Publications and Presentations

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Abstract

A Class Of Stable Nonlinear Non-Hermitian Skin Modes, Hamed Ghaemi-Dizicheh

Physics & Astronomy Faculty Publications

The non-Hermitian skin effect (NHSE) is a well-known phenomenon in open topological systems that causes a large number of eigenstates to become localized at the boundary. Although many aspects of its theory have been investigated in linear systems, this phenomenon remains novel in nonlinear models. In the first step of this paper, we look at the conditions for the presence of quasi-skin modes in a semi-infinite, one-dimensional, nonlinear, nonreciprocal lattice. In the following phase, we explore the survival time of the quasi-skin mode in a finite nonlinear lattice with open edges. We study the dependency of the survival time on …

Efficacy Of Banana Fibre Paper For The Management Of The Root-Knot Nematode, Meloidogyne Incognita, On Potato (Solanum Tuberosum) In Kenya, Dorris W. Kamau, Wanjohi Waceke, Laura Cortada, Onesmus Mwaura, Tahira Pirzada, Tim L. Sit, Eric Davis, Dick Guenther, Reny Mathew, Lokendra Pal, Saad Khan, Solveig Haukeland, James Kisaakye, Charles Opperman, Danny Coyne

All Peer-Reviewed Publications

Globally, potato (Solanum tuberosum) is a key staple food crop. In Kenya, it is the second most important food crop after maize. Among the various constraints to potato production are plant-parasitic nematodes. In particular, root-knot nematodes (Meloidogyne spp.) are a significant impediment to potato production, suppressing yield and reducing the quality of harvested tubers. The current study was undertaken to evaluate the efficacy of a lignocellulose fibre matrix (banana paper) either impregnated with a chemical or drenched with a biologically-based nematicide for the management of root-knot nematodes on potatoes, in Kenya. The experiment was conducted in both field and pot …

Security Vulnerabilities In Mobile Operating Systems Used In Iot Devices: An Examination Of Current Challenges And Countermeasures, Isain Cortes Jr.

Cybersecurity Undergraduate Research Showcase

No abstract provided.

Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Revised Draft Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – Third Quarter 2023 (Dated October 15, 2024), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Comment Letter For Draft Final Butte Reduction Works (Brw) Smelter Area Mine Waste Remediation And Contaminated Groundwater Hydraulic Control Site Phase Iii Quality Assurance Project Plan (Qapp) (Dated September 25, 2024), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Towards A Comprehensive Metaverse Forensic Framework Based On Technology Task Fit Model, Amna Almutawa, Richard Adeyemi Ikuesan, Huwida Said

All Works

This article introduces a robust metaverse forensic framework designed to facilitate the investigation of cybercrime within the dynamic and complex digital metaverse. In response to the growing potential for nefarious activities in this technological landscape, the framework is meticulously developed and aligned with international standardization, ensuring a comprehensive, reliable, and flexible approach to forensic investigations. Comprising seven distinct phases, including a crucial incident pre-response phase, the framework offers a detailed step-by-step guide that can be readily applied to any virtualized platform. Unlike previous studies that have primarily adapted the existing digital forensic methodologies, this proposed framework fills a critical research …

Applying Machine‐Learning Methods To Laser Acceleration Of Protons: Lessons Learned From Synthetic Data, Ronak Desai, Thomas Zhang, J. J. Felice, Ricky Oropeza, Joseph R. Smith, Alona Kryshchenko, Chris Orban, Michael L. Dexter, Anil K. Patnaik

Faculty Publications

In this study, we consider three different machine-learning methods—a three-hidden-layer neural network, support vector regression, and Gaussian process regression—and compare how well they can learn from a synthetic data set for proton acceleration in the Target Normal Sheath Acceleration regime. The synthetic data set was generated from a previously published theoretical model by Fuchs et al. 2005 that we modified. Once trained, these machine-learning methods can assist with efforts to maximize the peak proton energy, or with the more general problem of configuring the laser system to produce a proton energy spectrum with desired characteristics. In our study, we focus …

Deep Learning Classification Of Mri Differentiates Brain Changes In Genetic And Idiopathic Parkinson’S Disease, Megan Courtman, Mark Thurston, Hongrui Wang, Sube Banerjee, Adam Streeter, Lucy Mcgavin, Stephen Hall, Lingfen Sun, Emmanuel Ifeachor, Stephen Mullin

Peninsula Medical School

BackgroundThe prospect of neuroprotective treatments for Parkinsons disease highlights the need for early diagnostic tests. Specialised MRI sequences suggest changes related to Parkinsons disease may be detectable. ObjectivesWe used the Parkinsons Progression Markers Initiative dataset to investigate whether deep learning can detect early brain MRI changes of idiopathic and GBA/LRRK2 prodromal Parkinsons disease. MethodsPairs of matched cohorts were used to train convolutional neural networks to classify T2 axial images. Explainability methods were used to visualise drivers of model predictions. ResultsModels built to distinguish between idiopathic Parkinsons disease scans (n=504) and matched controls exhibited good classification performance for scans taken more …

Gender Perspectives In Contemporary Eco-Theology, Metti Amirtham

Budhi: A Journal of Ideas and Culture

Despite several decades of research and education programs, humanity continues to deplete natural resources and pollute the ecosystem of the planet at an alarming rate. Given the widespread secular engagement with environmental issues, i am conscious of the crucial need for Christian theologians to take on board the scale and extent of the development of eco-theology right across the globe from within their own traditions. in this process of brewing theology, gender perspectives play a vital role, because, gender is an integral component of every aspect of the lives of individuals and societies. Moreover, there are important connections between the …

Corrosion Behavior Of 304 Stainless Steel In H2so4/Nacl In The Absence And Presence Of Molybdate And Tungstate, Asma Yousef Alkaabi

Thesis/ Dissertation Defenses

In this study, the corrosion behavior of 304 austenitic stainless steel was investigated in H₂SO₄ solutions, H₂SO₄ as a function of Cl^- ions concentration, H₂SO₄ as a function of MoO₄^2- ions concentration, and H₂SO₄ + Cl^- ions as a function of MoO₄^2- ions concentration. Moreover, the synergistic inhibition of MoO₄^2- and WO₄^2- ions was investigated in 0.1 M H₂SO₄, with the solution pH adjusted to 3.0. The findings show that the corrosion current density …

Holistic Correlation Measure For Enhanced Encapsulation Of Trait Heterogeneity And Discovery Of Co-Expression, Zachary Valleroy

Theses

Large-scale, high-dimensional data analyses can be computationally prohibitive due to combinatorial explosion of the search space for finding complex patterns; a viable alternative is network modeling for abstraction and quantifying intrinsic data associations. Prominent network analysis methods furnish frameworks for model synthesis and validation but rely on standard correlation measures impaired by semi-supervised biases, latent heterogeneity, and uneven discretization techniques. Here we investigate a holistic measure for encapsulating data heterogeneity for enhanced efficacy of revealing complex patterns through network analysis. Our unique correlation metric, K-medoids Utility for Duo Original Similarities (Kudos), exhaustively factors real-valued analyte data to compute …

The View From Ventress - 2023-2024 Academic Year, University Of Mississippi, College Of Liberal Arts

Liberal Arts Newsletters

News from the College of Liberal Arts

The Indiana Statesman, November 21, 2024, Indiana State University

Student Newspaper

Statesman Standout: Craig Robinson; Centenary UMC continues free monthly lunches

2024 November 21 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

The Rattler (Volume 113, Issue 4), St. Mary's University

The Rattler (Previous issues)

Founded in 1919, The Rattler is the student voice of St. Mary’s University in San Antonio, Texas. The newspaper documents campus life, academic and social issues, student opinion, and local and national events as they relate to the University community. Content typically includes news articles, editorial commentary, arts and culture coverage, sports reporting, and advertisements.

Teachers’ Perceptions Of Job Stress And Its Meaning On Intent To Remain At A Title I School, Salmata Saaka-Lyons

Walden Dissertations and Doctoral Studies

The shortage of teachers in Title I schools undermines educational equity and quality in underserved communities, necessitating concerted efforts from educators, policymakers, and local communities. The purpose of this qualitative phenomenological study was to explore the lived experiences of Title I teachers regarding job stress and its meaning on their decisions to remain in the profession and within Title I environments. Grounded in Lazarus and Folkman’s transactional theory of stress and coping and Bakker and Demerouti’s job demands-resources model, the study explored how perceived job stress shapes teachers’ commitment to their roles. An interpretative phenomenological analysis was employed to analyze …

Preservice Elementary Teachers’ Perceptions Of The Incorporation Of An Ecojustice Framework In An Undergraduate Stem Integration Course, Rita G. Ortiz

USF Tampa Graduate Theses and Dissertations

Environmental education across the K-12 science curriculum lacks critical examination of human and ecological relationships, particularly in relation to science, technology, engineering, and mathematics (STEM) education. While the Next Generation Science Standards include environmental topics within their disciplinary core ideas and many schools offer environmental science courses, this gap can be addressed in teacher preparation programs, particularly for those teaching younger students. Ecojustice centers on socioecological topics by addressing cultural assumptions we, as humans, live by in relation to natural systems. Ecojustice education is a critical pedagogy that engages learners about social issues related to our current ecological crisis. This …