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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 …

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, …

Water Current, Volume 56, No. 3, Fall 2024

Water Current Newsletter

No abstract provided.

Enzyme Encapsulation Within The Hk97 Virus-Like Particle: An Investigation Of Substrate Inhibition Kinetics Within A Confined And Crowded Environment, Joseph B. Lively

Chemistry Theses

Substrate inhibition is a paradoxical phenomenon observed in enzyme kinetics where increasing substrate concentrations lead to a marked decrease in the rates of enzyme-catalyzed reactions. Affecting an estimated 20% of studied enzymes, substrate inhibition poses significant challenges to the understanding of their function in essential biological processes and to their exploitation in industrial and therapeutic contexts. Studies show substrate inhibition to be a real limitation in vitro and rational conclusions have been drawn to explain the relevance of substrate inhibition in the self-regulation of biological pathways. However, there is currently no consensus on what role substrate inhibition plays in vivo …

Rates Of Reporting And Analyzing Race And Ethnicity In Athlete-Specific Sports Medicine Research: A Systematic Review, John H. Sonnier, Carlo Coladonato, Irfan A. Khan, Gregory Connors, Ryan W. Paul, Anya T. Hall, Emma E. Johnson, Meghan E. Bishop, Fotios P. Tjoumakaris, Kevin B. Freedman

Rothman Institute Papers

BACKGROUND: Race- and ethnicity-based differences in treatment access and outcomes have been reported in the orthopaedic sports medicine literature. However, the rate at which race and ethnicity are reported and incorporated into the statistical analysis of sports medicine studies remains unclear.

PURPOSE: To determine the rate at which race and ethnicity are reported and analyzed in athlete-specific sports medicine literature.

STUDY DESIGN: Systematic review; Level of evidence, 4.

METHODS: Using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, articles published by the 3 journals of the American Orthopaedic Society for Sports Medicine between 2017 and 2021 were considered …

Battery Recycling In Nebraska, Kathryn Singh, Keegan Dunn, Emily Klinger

Environmental Engagement in the Community (ENVR 319): Student Projects

Environmental Engagement in the Community projects, fall 2024

A poster titled Battery Recycling in Nebraska for clients Douglas County Environmental Services and Recycling Council.

Optimizing Local Access To Information On Saving The Planet!, Sami Garcia

Environmental Engagement in the Community (ENVR 319): Student Projects

Environmental Engagement in the Community projects, fall 2024

A poster titled Optimizing Local Access to Information on Saving the Planet! for client Lincoln-Lancaster County Health Department.

Local Energy For Local Water: Urban-Rural Collaboration, Meg Brady, Clementine Ewomsan

Environmental Engagement in the Community (ENVR 319): Student Projects

Environmental Engagement in the Community projects, fall 2024

A poster titled Local Energy for Local Water: Urban-Rural Collaboration for client James Persson.

Hisoma: A Hierarchical Multi-Agent Model Integrating Self-Organizing Neural Networks With Multi-Agent Deep Reinforcement Learning, Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Multi-agent deep reinforcement learning (MADRL) has shown remarkable advancements in the past decade. However, most current MADRL models focus on task-specific short-horizon problems involving a small number of agents, limiting their applicability to long-horizon planning in complex environments. Hierarchical multi-agent models offer a promising solution by organizing agents into different levels, effectively addressing tasks with varying planning horizons. However, these models often face constraints related to the number of agents or levels of hierarchies. This paper introduces HiSOMA, a novel hierarchical multi-agent model designed to handle long-horizon, multi-agent, multi-task decision-making problems. The top-level controller, FALCON, is modeled as a class …

Gradualreality: Enhancing Physical Object Interaction In Virtual Reality Via Interaction State-Aware Blending, Hyuna Seo, Juheon Yi, Rajesh Krishna Balan, Youngki Lee

Research Collection School Of Computing and Information Systems

We present GradualReality, a novel interface enabling a Cross Reality experience that includes gradual interaction with physical objects in a virtual environment and supports both presence and usability. Daily Cross Reality interaction is challenging as the user’s physical object interaction state is continuously changing over time, causing their attention to frequently shift between the virtual and physical worlds. As such, presence in the virtual environment and seamless usability for interacting with physical objects should be maintained at a high level. To address this issue, we present an Interaction State-Aware Blending approach that (i) balances immersion and interaction capability and (ii) …

Final Bpsou Insufficiently Reclaimed Sites Belle Of Butte (Bres No. 8 & Ur-39) Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Proposed Plan To Amend The Remedial Action For The Butte Priority Soils Operable Unit, Environmental Protection Agency

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Festival Of Research Abstracts, Fall 2024, College Of Science And Mathematics, Wright State University

Festival of Research

The collection of abstracts accepted for the Fall 2024 Festival of Research hosted by the Wright State University College of Science and Mathematics.

Proceedings Of Wmu Maritime Week 2024 Beyond Horizons : Maritime Sustainability, World Maritime University, Korea Maritime Institute, Korea Research Institute Of Ships And Ocean Engineering

WMU Maritime Week 2024 Beyond Horizons: Maritime Sustainability

This proceedings is the output of the WMU Maritime Week 2024 Conference, which was held from August 27 to 30, 2024, at WMU in Malmö. As the first conference of WMU Maritime Week, it focused on themes such as the IMO World Maritime Day theme 2024: 'Navigating the Future: Safety First!', Maritime Sustainability, Digitalization, Decarbonization, Maritime Business and Logistics, and Capacity Development. A total of 42 experts in these fields presented across 8 sessions. This proceeding provides a summary of the presentations from all the speakers.

Leveraging Imitation Learning In Agricultural Robotics: A Comprehensive Survey And Comparative Analysis, Siavash Mahmoudi, Amirreza Davar, Pouya Sohrabipour, Ramesh Bahadur Bist, Yang Tao, Dongyi Wang

Biological and Agricultural Engineering Faculty Publications and Presentations

Imitation learning (IL), a burgeoning frontier in machine learning, holds immense promise across diverse domains. In recent years, its integration into robotics has sparked significant interest, offering substantial advancements in autonomous control processes. This paper presents an exhaustive insight focusing on the implementation of imitation learning techniques in agricultural robotics. The survey rigorously examines varied research endeavors utilizing imitation learning to address pivotal agricultural challenges. Methodologically, this survey comprehensively investigates multifaceted aspects of imitation learning applications in agricultural robotics. The survey encompasses the identification of agricultural tasks that can potentially be addressed through imitation learning, detailed analysis of specific models …

Antitrust After The Coming Wave, Daniel A. Crane

Articles

A coming wave of general-purpose technologies, including artificial intelligence ("AI"), robotics, quantum computing, synthetic biology, energy expansion, and nanotechnology, is likely to fundamentally reshape the economy and erode the assumptions on which the antitrust order is predicated. First, AI-driven systems will vastly improve firms' ability to detect (and even program) consumer preferences without the benefit of price signals, which will undermine the traditional information-producing benefit of competitive markets. Similarly, these systems will be able to determine comparative producer efficiency without relying on competitive signals. Second, AI systems will invert the salient characteristics of human managers, whose intentions are opaque but …

Making Plans Findable, Accessible, Interoperable, And Reusable With Data Infrastructure: A Search Engine For Constructing, Analyzing, And Visualizing Planning Documents, Lindsay Poirier, Dexter Antonio, Makenna Dettmann, Tiffany Eng, Jennifer Ganata, Sujoy Ghosh, Mirthala Lopez, Ranesh Karma, Asiya Natekal, Catherine Brinkley

Statistical and Data Sciences: Faculty Publications

Local land-use plans help guide future development, but it is often difficult to compare content across jurisdictions, making regional coordination and plan evaluation challenging. This research reviews federal, state, and local data infrastructure guidance for land-use plans and compares such guidance to compliance with a California use-case. Findings indicate a number of obstacles to fostering data sharing and comparative analysis of plans: there is currently no central repository of land-use plans; plans are not uniform in format and are often out of date; many plans are not machine-readable thereby inhibiting text extraction, and planning language varies so greatly that there …

"Deep Learning For Microscope Image Denoising", Nasreen Buhn, Sriya Adunur, Guy Hagen, Jonathan Ventura

College of Engineering Summer Undergraduate Research Program

In order to avoid damaging live cells, optical microscope imaging must be conducted under low-excitation light intensity and/or short exposure times, resulting in low signal-to-noise ratios (SNR). Deep learning methods offer an effective solution for removing microscope noise, utilizing algorithms that are able to reconstruct finer features in low SNR images. This research explores the denoising capability of several deep learning methods based on PSNR and SSIM. Tested methods include traditional approaches (BMED), supervised learning (CARE and Restormer), and unsupervised methods (Noise2Fast, N2V, SSD-Unsupervised, and SASSID). The Restormer model, which employs an encoder-decoder transformer architecture and progressive learning, stood out …

Optimizing Medical School Enrollment, Justin Koida, Nicholas Quattrocchi

College of Engineering Summer Undergraduate Research Program

The increasing physician shortage, coupled with an aging population, presents significant challenges for healthcare systems. With higher education facing a projected enrollment cliff, and a decline in youth math and reading scores, identifying the most qualified medical school applicants is imperative. With thousands of applications received annually for only 300 spots at Western University of Health Sciences (WesternU), it is crucial to streamline the selection process while minimizing applicant attrition and melt.

In our research project, we develop a predictive model to identify candidates for interviews based on success data from students at WesternU. We utilized a dataset provided by …

Tabular Data-Centric Ai: Challenges, Techniques And Future Perspectives, Yanjie Fu, Dongjie Wang, Hui Xiong, Kunpeng Liu

Computer Science Faculty Publications and Presentations

Tabular data are the most widely used data formats in almost every application domain, such as, biology, ecology, and material science. The purpose of tabular data-centric AI is to use AI to augment the predictive power of tabular data to get better AI. Tabular data-centric AI is essential because it can reconstruct distance measures, reshape discriminative patterns, and improve data AI readiness (structural, predictive, interaction, and expression levels), which is significant in industries and real-world deployments. Therefore, our tutorial is designed to capture the interest of professionals with expertise in artificial intelligence, machine learning, and data mining, as well as …

Investigating In Vivo Tumor Biomolecular Changes Following Radiation Therapy Using Raman Spectroscopy, Varsha Karunakaran, Sina Dadgar, Santosh K. Paidi, April Mordi, Whitney A. Lowe, Umme Marium Mim, Jesse D. Ivers, Joel Rodriguez Troncoso, Jared A. Mcpeake, Alric Fernandes, Sanidhya D. Tripathi, Ishan Barman, Narasimhan Rajaram

Biomedical Engineering Faculty Publications and Presentations

Treatment resistance is a major bottleneck in the success of cancer therapy. Early identification of the treatment response or lack thereof in patients can enable an earlier switch to alternative treatment strategies that can enhance response rates. Here, Raman spectroscopy was applied to monitor early tumor biomolecular changes in sensitive (UM-SCC-22B) and resistant (UM-SCC-47) head and neck tumor xenografts for the first time in in vivo murine tumor models in response to radiation therapy. We used a validated multivariate curve resolution-alternating least-squares (MCR-ALS) model to resolve complex multicomponent Raman spectra into individual pure spectra and their respective contributions. We observed …

Assessing The Impact Of Femur Morphological Variations On Pediatric Hip Joint Biomechanics Using Statistical Shape Modeling, Tamara Chambers

Doctoral Dissertations and Master's Theses

This dissertation aimed to (1) quantify morphological variations in the pediatric hip joint and (2) evaluate the sensitivity of an infant musculoskeletal model (MSM) to these variations, considering hip joint center estimation errors. A shape statistical model (SSM) of decedent infant femurs from the Ortolani collection was created using ShapeWorks, capturing key morphological features, such as variations in the femoral neck-shaft and anteversion angles. Seven synthetic femurs were generated from the SSM to create SSM-informed MSMs, which were systematically evaluated through kinematics and kinetics analyses in OpenSim. Incorporating the SSM led to slight changes in the pediatric MSMs’ kinematics but …

Crystal Archer: Profile Of The Newest Chbc Faculty Member, Danna Jaimes-Fajardo, Jeremy J. Smith, Lutishoor Salisbury

University Libraries Faculty Publications and Presentations

Presents the research profile of Crystal Archer, Assistant Professor, Chemistry and Biochemistry department. It highlights her research interests, education, and impact of her research.

A Qualitative Study Exploring Graduated Medical Residents’ Research Experiences, Barriers To Publication And Strategies To Improve Publication Rates From Medical Residents, Dorothy Kamya, Brigette Macharia, Wangari Siika, Caroline Mbuba

Anaesthesiology, East Africa

Background: In Kenya, postgraduate medical residents must complete a research dissertation for their Master of Medicine studies. However, the subsequent publication rate is lower than in higher-income settings, limiting the availability of population-specific data. This study explored residents’ experiences with research, reasons for the low publication rate, and strategies to improve publication rates.

Methods: In-depth interviews were conducted with 9 faculty members and non-academic support staff, as well as 18 Master of Medicine graduates who had successfully completed their research projects, to investigate their experiences with conducting, supervising, and publishing research. The interview data was analysed using inductive …

Going With The Flow: Quantifying Lead Levels Along A Natural Water Pathway, Kailah Thompson, Joshua Sebree

Fall 2024 - Chemical Analysis Class Projects

Lead contamination in natural water is a significant concern due to its toxic effects on both ecological and human health. Jackson County, with its historical background in lead mining and ammunition production, presents an ideal region to study lead’s movement and potential impacts in natural water environments. This research traces the journey of lead ions from a spring, through a creek, and into a pond, examining how lead concentrations change along the water pathway. The study uses differential pulse stripping voltammetry, a precise technique for trace metal analysis, alongside pH and temperature measurements to provide insight into factors that influence …

Remediation Technology And Study To Remove Nano-Pollutants From Wastewater, Lauretta Ngozi Ndu Nwagu

Dissertations (2016-Present)

Life on Earth depends on water, which also has a direct impact on climate, health, and economic growth. Water poverty, pollution, and scarcity are some of the environmental issues confronting our society today. Water pollution and water poverty are both measurable parameters. Water quality is measured by comparing its physical, chemical, and biological properties to a predefined standard. This study examines remediation techniques for removing nano-pollutants from human-generated wastewater. In order to satisfy the Environmental Protection Agency’s (EPA) standard, this technological approach utilizes gravity and a zero-carbon footprint for wastewater purification.

The research is designed with various pore sizes of …

Field-Ready Voltammetric Detection Of Aqueous Cadmium (Ii) Ions On Aptamer-Modified Inkjet-Printed Gold Electrode, Glenn D. Ongayo, Jiena Lynne R. Pauco, Erwin P. Enriquez

Chemistry Faculty Publications

In this work, a simple and cost-effective integrated electrode system consisting of aptamer-modified inkjet-printed (IJP) gold working electrode and unmodified IJP gold as counter electrode (both printed on polyethylene naphthalate substrate) has been developed for low-cost detection of cadmium (II) ion in water. The technique uses a Cd2+ (Cd-4) aptamer, a single-stranded DNA with 31 nucleotides trapped on the working electrode using the self-assembly monolayer (SAM) technique. The electrochemical detection of Cd2+ is based on the change in redox peaks of [Fe(CN)6]3-/4- as a redox probe in cyclic voltammetry. The change in peak current is caused by a difference in …

Bioluminesence-Induced Photoredox Catalysis And Its Mechanisms, Dominic Jeffrey Bates

Theses and Dissertations

The bioluminescence-induced photoredox reaction (BIPR) is a novel methodology developed to overcome the limitations of photo-induced chemistry by initiating chemical work using bioluminescent Escherichia coli as a photon source. In industry, photochemistry is superseded by thermochemical reaction processes. Despite its massive potential, there are very few applications in industry for photochemistry. Unlike thermochemistry, reaction scale-ups are not as easy as simple dimensional increases in a reaction vessel due to the nature of light. This deficiency is seemingly overcome through the development of flow technologies; however, the overall yield of such methods remains incomparable with those utilizing thermochemistry. This thesis focuses …

10.01.2024 Orsp Connect, Liz Williamson

ORED Newsletter

NIH Podcast on simplified review framework

LINC lunch External Review

NIDA Diversity Supplements Webinar