Physical Sciences and Mathematics Commons^™

Climate Prediction Center Analogs As Extended Range Predictors For Severe Convective Storms, Sean Phipps

Honors Capstones

Increasing the predictability of severe convective storms (SCSs) over extended time ranges (i. e. >8 days) is of utmost importance to forecasters, as modern numerical weather prediction (NWP) models exhibit little skill at this lead time. Analogs have been used to predict temperature and rainfall anomalies at this time range for decades, though modern developments in analog forecasting uses techniques such as analog ensembles to increase the skill of analog models. This study employs a simple analog ensemble (AnEn) method using the Climate Prediction Center (CPC) 6-10 Day 500hPa analogs and uses the Storm Prediction Center (SPC)’s report database to …

Reducing Selection Bias In The Training Data Of Asl Champ! To Improve The Sign Language Recognition (Slr) System, Nushla Pradhan '26, Laine Silverman

Annual Student Research Poster Session

American Sign Language (ASL) is a natural language that is critical for effective communication within the Deaf community and also to bridge the gap between hearing and Deaf or Hard-of-Hearing individuals. Conventional methods of ASL learning apart from in person classroom instruction provide foundational knowledge but often lack the immersive and interactive elements. People often opt to learn ASL through textbooks and videos due to the limited availability of proficient ASL instructors, lack of other educational resources and limited time. This creates challenges of replicating real-life conversational scenarios and lack of real time feedback. To address these limitations, Virtual Reality …

A Community-Level Investigation Of Heavy Metal Pollution In Street Sediments From Terre Haute, Indiana, Kyra Copp '25, Kenneth Brown, Nora Bedwell '26, Camden Brown '25

Annual Student Research Poster Session

Urban environments contain environmental legacy issues that can have long-term negative public health consequences. Investigating these legacy issues can help constrain potential sources and their impact on communities. This study focuses on street sediment found in Terre Haute, Indiana, a city with an extensive history of coal-fired power production, high-traffic volumes, steel manufacturing, and Pb-based paint usage. This research specifically focuses on Terre Haute’s Sheridan Park community. Six bulk street sediment samples were analyzed by pXRF at DePauw University. This analysis revealed elevated concentrations of Pb (22-152 ppm), As (8-15 ppm), Cu (35-237 ppm), and Zn (149-634 ppm) in all …

Empirical Support For Algorithmic Conjectures, Shayan Daijavad

College of Engineering Summer Undergraduate Research Program

Our project focuses on a particular Markov Chain Monte Carlo algorithm, with applications in statistical physics, known as hardcore model Glauber dynamics. The target distribution of Glauber dynamics is a distribution of all of the independent sets within a graph. An independent set is a set of vertices within a graph with no two vertices in the set containing an edge between them. Our goal is to find whether or not the Glauber dynamics for sampling independent sets on trees mixes in time O(nlogn), and determining how the mixing time changes if we bias the algorithm in favor of larger …

Understanding And Enhancing Sustainability Literacy In Cal Poly's College Of Engineering, Kenna Toohill

College of Engineering Summer Undergraduate Research Program

This study uses survey data collected from Cal Poly students to analyze engineering students' sustainability knowledge and their perspectives on Cal Poly's efficacy in teaching concepts in sustainability. It also compares the College of Engineering to other colleges to determine if, and how, CENG is behind in environmental education at Cal Poly.

Measurement Automation & Measurement System Research Endowment, Brian Bivinetto, Beneda Loya, Shiron Bendrihem

College of Engineering Summer Undergraduate Research Program

Road travel safety is always the most important issue in transportation systems. In general, several factors cause road accidents, such as human error, vehicle mechanical failure, roadway limitations (e.g. pavement, lane geometry, etc.), and inclement weather conditions. The major focus of today’s transportation developments is related to making highway transportation safer, smarter, and greener to enhance livability. Many accidents are caused when drivers lack a better understanding of the surrounding traffic conditions because the driver not only needs to control his/her vehicle but also needs to be aware of the movements of the vehicles around him/her. A driver cannot be …

Surrogate Models For Stress-Strain Mapping Of Microscale Physics, Samuel Roach, Dr. Eric Ocegueda

College of Engineering Summer Undergraduate Research Program

•Learn the difference between different neural networks within machine learning (ML) •Develop a working understanding of the ML tool Pytorch and machine learning operator: Recurrent Neural Operator •Use MATLAB to create and process time dependent stress/strain matrices to display the hyper-parameters for different RNOs •Apply RNO to train the strain-stress mapping of tri-laminate and granular cases

Enhancing Place-Based Interaction With Emotion Ai And Augmented Reality, Jake Maier, Ivan Martinez

College of Engineering Summer Undergraduate Research Program

This project explores the integration of augmented reality (AR) and Emotion AI technologies to enhance user experiences in physical environments. By seamlessly merging virtual elements with real-world contexts, we aim to deepen individuals’ interactions and perceptions of their surroundings. Leveraging AR technology enables users to access contextual information, engage with interactive content, and navigate spaces with heightened immersion and understanding. Additionally, Emotion AI enhances these experiences by detecting and responding to users’ emotional states, fostering personalized and emotionally resonant interactions. We aim to integrate digital content within physical environments using mixed-reality headsets equipped with eye-tracking capabilities and consumer-grade wireless EEG …

Quantifying Ethics And Trust In Human-Ai Collaboration, Oliver Lane, Kevin Klave

College of Engineering Summer Undergraduate Research Program

As AI Chatbots continue to evolve in both prevalence and capability, their role in education is becoming increasingly prominent. With chatbots like ChatGPT becoming commonplace in higher education, there is an evident need to understand the ethics and trust dynamics of human-AI collaboration. This research contributes to the ongoing discussion on AI in education, highlighting the importance of trust when utilizing AI in academic settings. By conducting an empirical analysis, this research seeks to quantify trust in human-AI collaboration in higher education with the aim of offering actionable items for higher education institutions to follow to promote ethical and responsible …

Optimizing Sensor Placements For Fixed Source Localization: A Distinct Subset Distance Sum Problem, Peter Chinh

College of Engineering Summer Undergraduate Research Program

This research addresses the problem of optimizing sensor placements for fixed source localization using distinct subset distance sums. Given a line L in R² and a set P of n points on one side of L, we seek to locate a minimal set S of points on L such that for any two distinct subsets Q and R of P, there exists a point s∈S where the sum of reciprocal distances from Q to s uniquely identifies Q. Our results show that a minimal sensor set S of size 1 is always feasible, but computing this set exactly proves …

A Comparative Study Of Cave System Calcium Isotope Ratios: Implications For Quantitative Reconstruction Of Paleorainfall From Speleothems, Cameron B. De Wet, Elizabeth M. Griffith, Andrea Erhardt, Jessica L. Oster

Earth and Environmental Sciences Faculty Publications

Variations in speleothem calcium isotope ratios (δ44Ca) are thought to be uniquely controlled by prior carbonate precipitation (PCP) above a drip site and, when calibrated with modern data, show promise as a semi‐quantitative proxy for paleorainfall. However, few monitoring studies have focused on δ44Ca in modern cave systems. We present a multi‐year comparative study of δ44Ca, carbon isotopes (δ13C), and trace elemental ratios from cave drip waters, modern calcite, and host rocks from two cave systems in California—White Moon Cave (WMC) and Lake Shasta Caverns (LSC). Drip water and calcite δ44Ca from both caves indicate PCP‐ driven enrichment, and we …

Integrated Treatment Of Black Wastewater Using Sedimentation, Constructed Wetland, And Nanoparticles Coagulation, Hussein I. Abdel-Shafy, Mona Mansour, Mohamed A. El-Khateeb, Yang Deng

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

The aim of the present investigation was to achieve an efficient treatment for black wastewater for non-restricted reuse. The treatment included sedimentation followed by horizontal flow constructed wetland (HF-CW), and finally chemical coagulation using magnetite (Fe3O4) nanoparticles. For the wetland, the average organic loading rate (OLR) was 42.83 biochemical oxygen demand (BOD)/m2 day and 71.30 g chemical oxygen demand (COD)/m2 day, while average surface loading rate was 0.185 m3/m2 day. The obtained results revealed that removal percentage of COD, BOD, and total suspended solids (TSS) by sedimentation followed by processing through wetlands was 80.3, 81.6, and 80%, which corresponds to …

Comprehensive Lead Exposure Vulnerability For New Jersey: Insights From A Multi-Criteria Risk Assessment And Community Impact Analysis Framework, Gift Fabolude, Charles Knoble, Anvy Vu, Danlin Yu

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Lead contamination remains a persistent and insidious threat, particularly affecting young children and vulnerable communities. This study aims to develop a comprehensive sources-based lead exposure index map for New Jersey municipalities by integrating diverse lead contamination data, including lead-based paint, lead service lines, proximity to superfund and brownfield sites, road density, and gas stations, analyzing how municipality socioeconomic and land use factors impact lead exposure. The research employs Principal Component Analysis (PCA) and Analytical Hierarchy Process (AHP) to create two distinct multi-criteria lead exposure indices. The indices are mapped to understand the spatial distribution and magnitude of lead exposure risks …

Iowa Waste Reduction Center Newsletter, October 2024, University Of Northern Iowa. Iowa Waste Reduction Center.

Iowa Waste Reduction Center Newsletter

Contents:

--- Why Industry Events are Crucial for Your Growth
--- DNR Air Quality Fees Discussion
--- Welcome New Environmental Intern
--- Advisory Committee Update
--- Partner Events

Lysosomal Storage Disorder: The Mechanism Of Hurler Syndrome, Ashlyn Ryan, Maria Sebastian

Science University Research Symposium (SURS)

Hurler Syndrome is a rare pediatric neurodegenerative disorder, in which patients experience a multitude of symptoms starting around age 3. These symptoms include skeletal abnormalities, cognitive impairment, stunted growth, heart disease, and many others. The life expectancy of a child diagnosed with Hurler Disease is around 10 to 20 years. Currently, there is no cure for Hurler Syndrome and most treatments are targeted at relieving symptoms. Hurler Syndrome is an inherited lysosomal storage disorder defined by an accumulation of mucopolysaccharides, dermatan sulfate (DS) and heparan sulfate (HS) in tissues. Hurler Syndrome is caused by a mutation in the IDUA gene …

Identifying Neural Correlates Of Balance Impairment In Traumatic Brain Injury Using Partial Least Squares Correlation Analysis, Vikram Shenoy Handiru, Easter Selvan Suviseshamuthu, Soha Saleh, Haiyan Su, Guang Yue, Didier Allexandre

School of Computing Faculty Scholarship and Creative Works

Objective. Balance impairment is one of the most debilitating consequences of traumatic brain injury (TBI). To study the neurophysiological underpinnings of balance impairment, the brain functional connectivity during perturbation tasks can provide new insights. To better characterize the association between the task-relevant functional connectivity and the degree of balance deficits in TBI, the analysis needs to be performed on the data stratified based on the balance impairment. However, such stratification is not straightforward, and it warrants a data-driven approach. Approach. We conducted a study to assess the balance control using a computerized posturography platform in 17 individuals with TBI and …

Subterranean Medicinal Bottles Are Treasures That Reveal The Growth Of Lincoln's Early Drug Stores, Mark Griep, June Weber, Erik Schulz, Effie Athanassopoulos

Department of Anthropology: Faculty Publications

Archeologists unearthed medicine bottles embossed with the names of nine early Lincoln (Nebraska) drug stores, giving insight into the rapid growth of pharmacies and health care from the 1880s up to the Pure Food and Drug Act of 1906.

Investigating Public Acceptance Of Responses To Public Emergencies: Based On Text Transparency And Empathy Sentiment Analysis, Xuefeng Zhang, Yelin Huang

Journal of Scientific Information Research

[Purpose/significance]Regarding the responses to public emergencies published by official agencies on social media, this study aims to measure information transparency and empathy in the response text, and further to investigate their influence on public acceptance of responses. [Method/process]This study used public emergency responses published on Sina Weibo, a Chinese popular social media, as data source. Through carefully collecting and filtering, we finally acquired 170 public emergency responses released from 2021 to 2023. Furthermore, by using methods of content analysis, manual coding, and natural language processing, we measured information transparency of responses from three aspects: information disclosure, information accuracy, and information …

Construction And Application Of Multi-Dimensional Portrait System For Green Technology Innovation Enterprises In China: Taking The Green Transportation Technology Field As An Example, Wenke Hao, Jianlin Yang, Lei Miao

Journal of Scientific Information Research

[Purpose/significance]By constructing and applying the multi-dimensional portrait system of green technology innovation enterprises in China, this paper aims to comprehensively understand the status quo, advantages and obstacles of enterprises in specific fields in green technology innovation, so as to provide scientific references and suggestions for relevant government departments and decision makers of enterprises. [Method/process]Based on resource based view and environmental dependence theory, we select the internal and external labels of enterprises, and designs a multi-dimensional label system to objectively describe the performance of enterprises in terms of profitability,scientific research and innovation, public opinion and environmental responsibility. Then, the green technology …

Managing Frost Risk, Department Of Primary Industries And Regional Development, Western Australia

Grains and other field crops factsheets

Frost occurs on clear nights in early spring when the air temperature drops to 2°C or less. Crop damage from frost may occur at any stage of development but is most damaging at or around flowering.

Frost is difficult to manage, and damage will be unavoidable in some seasons. Risk management options proven to reduce frost risk include paddock zoning, crop and variety selection, time of sowing, stubble management and managing inputs. The greatest gains result from in paddock choice/zoning, crop and variety choice, and manipulating the canopy.

Ontology Design Facilitating Wikibase Integration — And A Worked Example For Historical Data, Cogan Shimizu, Andrew Eells, Seila Gonzalez, Lu Zhou, Pascal Hitzler, Alicia Sheill, Catherine Foley, Dean Rehberger

Computer Science and Engineering Faculty Publications

Wikibase – which is the software underlying Wikidata – is a powerful platform for knowledge graph creation and management. However, it has been developed with a crowd-sourced knowledge graph creation scenario in mind, which in particular means that it has not been designed for use case scenarios in which a tightly controlled high-quality schema, in the form of an ontology, is to be imposed, and indeed, independently developed ontologies do not necessarily map seamlessly to the Wikibase approach. In this paper, we provide the key ingredients needed in order to combine traditional ontology modeling with use of the Wikibase platform, …

A Guideline For Open-Source Tools To Make Medical Imaging Data Ready For Artificial Intelligence Applications: A Society Of Imaging Informatics In Medicine (Siim) Survey, Sanaz Vahdati, Bardia Khosravi, Elham Mahmoudi, Kuan Zhang, Pouria Rouzrokh, Shahriar Faghani, Mana Moassefi, Aylin Tahmasebi, Katherine Andriole, Peter Chang, Keyvan Farahani, Mona Flores, Les Folio, Sina Houshmand, Maryellen Giger, Judy Gichoya, Bradley Erickson

Department of Radiology Faculty Papers

In recent years, the role of Artificial Intelligence (AI) in medical imaging has become increasingly prominent, with the majority of AI applications approved by the FDA being in imaging and radiology in 2023. The surge in AI model development to tackle clinical challenges underscores the necessity for preparing high-quality medical imaging data. Proper data preparation is crucial as it fosters the creation of standardized and reproducible AI models while minimizing biases. Data curation transforms raw data into a valuable, organized, and dependable resource and is a fundamental process to the success of machine learning and analytical projects. Considering the plethora …

2024 October - Tennessee Monthly Climate Report, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Monthly Reports

Hi All,

Attached is the October monthly climate summary. It was both warmer and drier than normal across most of the state. Without some rainfall on Halloween, it likely would have been the driest October on record for many locations. Farmers, especially in southern Middle Tennessee, continued to suffer from severe and extreme drought conditions that started back in June. The weather station at the Nashville International Airport, with data from 1940 through today, had its 4th longest dry streak, with 26 days in a row without precipitation from September 30 – October 25, 2024. Daily high temperature records were …

Kentucky Geological Survey Landslide Inventory [2024], Matthew M. Crawford, Evelyn M. Bibbins, Hudson J. Koch

Research Data--KGS

The KGS landslide inventory provides the locations of known landslides and areas susceptible to debris flows. Various types of landslides are represented including slides, flows, rockfalls, and creep. The data are available as ArcGIS geodatabase feature classes. Landslide locations and associated attributes are compiled from Kentucky Geological Survey research, published maps, state and local government agencies, the public, and media reports. A confidence ranking system assigns a value to each feature. A description of the feature classes is here: https://kgs.uky.edu/kgsmap/helpfiles/landslide_help.shtm

The inventory viewed in a GIS with geology, soils, slope or other terrain-based data can serve as a basis for …

(Si13-02) Approximate Solution Of Fuzzy Volterra Integro-Differential Equations Using Numerical Techniques, Asiya Ansari, Najmuddin Ahmad

Applications and Applied Mathematics: An International Journal (AAM)

To determine the approximate solution to fuzzy Volterra integro-differential equations, the Adomian Decomposition Method (ADM), Modified Adomian Decomposition Method (MADM), Variational Iteration Method (VIM), and Homotopy Perturbation Method (HPM) are proposed in this study. We present two examples to support the methodology, and the results are presented in tables to demonstrate the method’s efficiency and correctness. Wolfram Mathematica 11.3 is used to perform the computations.

Mathematics In Contemporary Society, Patrick J. Wallach

Open Educational Resources

Mathematics in Contemporary Society is the textbook that corresponds to MA-321, the course of the same name. The course is designed to provide students with mathematical ideas and methods found in the social sciences, the arts, and in business. Topics will include fundamentals of statistics, scatterplots, graphics in the media, problem solving strategies, dimensional analysis, mathematics in music and art, and mathematical modeling. EXCEL is used to explore real world applications.

Bridging The Birth Divide: Doula Perspectives On Cesarean Trends In Switzerland And The U.S., Lina Verghese

Switzerland: Global Health and Development Policy

Cesarean section (C-section) rates remain a global concern, reflecting variations in maternal care practices, healthcare access, and systemic biases. While essential in certain cases, the overuse of C-sections is linked to adverse maternal and neonatal outcomes, reinforcing medicalized approaches to childbirth. This study explores disparities in C-section rates across regions in Switzerland (Zug and Jura) and the United States (Mississippi and Alaska) and examines the role of doulas in addressing these disparities.

Using a mixed-methods approach, qualitative interviews with doulas and quantitative regional data highlight systemic and cultural influences on C-section trends. In affluent Zug, convenience and elective procedures drive …

Fail Fast, Fail Small: Designing Resilient Systems For The Future Of Software Engineering, Jill Willard, James Hutson

Faculty Scholarship

The principles of "fail fast, fail small" have emerged as critical in modern software and system design. By planning for minor, manageable failures instead of catastrophic breakdowns, developers can ensure that systems degrade gracefully, maintaining functionality even when encountering issues. This article delves into strategies for designing resilient systems, beginning with the concept of slow degradation and distributed systems that prioritize core functions while allowing non-critical components to fail without significant user impact. The Netflix recommendation engine serves as a prime example of a system that continues to operate under failure conditions. Chaos engineering, a proactive methodology for stress-testing system …

Burden Of Disease Attributable To High Body Mass Index: An Analysis Of Data From The Global Burden Of Disease Study 2021, Xiao-Dong Zhou, Qin-Fen Chen, Wah Yang, Mauricio Zuluaga, Giovanni Targher, Christopher Byrne, Luca Valentu, Fei Luo, Christos Katsouras, Christopher Opio

Internal Medicine, East Africa

Background: Obesity represents a major global health challenge with important clinical implications. Despite its recognized importance, the global disease burden attributable to high body mass index (BMI) remains less well understood.

Methods: We systematically analyzed global deaths and disability-adjusted life years (DALYs) attributable to high BMI using the methodology and analytical approaches of the Global Burden of Disease Study (GBD) 2021. High BMI was defined as a BMI over 25 kg/m2 for individuals aged ≥20 years. The Socio-Demographic Index (SDI) was used as a composite measure to assess the level of socio-economic development across different regions. Subgroup analyses considered age, …

The Compass - Volume 93 Issue 2 - Complete Issue, Scott R. Beason

The Compass: Earth Science Journal of Sigma Gamma Epsilon

No abstract provided.