Digital Commons Network^™

02.10.2025 Ored Connect, Liz Williamson

ORED Newsletter

Community Engagement Recognition

Locational Data And The Public Interest, William A. Herbert, Micahel Goodchild, Richard Appelbaum, Jeremy Crampton, Gary Langham, Krzysztof Janowicz, Mei-Po Kwan, Katina Michael, Lisa Schamess

Publications and Research

This article presents a paper developed by the AAG Organizing Committee on Locational Information and the Public Interest through a summit held in Santa Barbara, California in June 2022. The summit resulted in goals and ideas for addressing the issues that arise from the present environment for geodata, whereby public, private, and third-sector entities can tap into publicly available locational information with relatively little regulation on its access or use. The Committee articulates four goals: (1) develop a research agenda extending across disciplines, (2) outline educational resources and strategies to guide ethical practice, (3) devise a pathway to increase public …

Residential Metals Abatement Program Construction Completion Report East Middle School, Environmental Resource Management (Erm)

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

2025 Draft Final Unreclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Monthly Progress Report Butte Priority Soils Operable Unit Consent Decree Partial Remedial Design/Remedial Action And Operation And Maintenance, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Quantitative Characterization And Prediction Of The Binding Determinants And Immune Escape Hotspots For Groups Of Broadly Neutralizing Antibodies Against Omicron Variants: Atomistic Modeling Of The Sars-Cov-2 Spike Complexes With Antibodies, Mohammed Alshahrani, Vedant Parikh, Brandon Foley, Nishank Raisinghani, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

A growing body of experimental and computational studies suggests that the cross-neutralization antibody activity against Omicron variants may be driven by the balance and tradeoff between multiple energetic factors and interaction contributions of the evolving escape hotspots involved in antigenic drift and convergent evolution. However, the dynamic and energetic details quantifying the balance and contribution of these factors, particularly the balancing nature of specific interactions formed by antibodies with epitope residues, remain largely uncharacterized. In this study, we performed molecular dynamics simulations, an ensemble-based deep mutational scanning of SARS-CoV-2 spike residues, and binding free energy computations for two distinct groups …

Modeling Area Deprivation Index Using Non-Gaussian Fixed Rank Kriging, Edwin Kutsushi Mutimba

SDSU Data Science Symposium

The Area Deprivation Index (ADI) plays a vital role in identifying and addressing socioeconomic challenges, forming the basis for fair public health policies and resource distribution. This study explores the capabilities of both linear and non-linear statistical models, with a focus on Fixed Rank Kriging (FRK), to analyze ADI using data on U.S. Social Determinants of Health (SDOH). The model’s predictive capability is compared with Generalized Additive Models (GAM) and Generalized Additive Models for Location, Scale, and Shape (GAMLSS). The non-gaussian FRK provides a more comprehensive spatial analysis, albeit with higher computational requirements.

Filters For Forecasting Crop Health: Analyzing And Projecting The Temporal Evolution Of Landsat Ndvi Data Using Dynamic Linear Models And The Kalman Filter, Kamal Albousafi, Hossein Moradi, Jung-Han Kimn

SDSU Data Science Symposium

Accurately forecasting food availability is a critical task. One approach involves utilizing remote sensing data, such as satellite images, to observe the health of crop fields using different Vegetation Indices (VI). The Normalized Difference Vegetation Index (NDVI) provides a sound metric to track the “greenness” of crops over time. In this research, we develop statistical models that capture the dynamics of NDVI time series data to make better predictions of its future values. The median NDVI of the pixels of a farm located in Edmunds County, South Dakota, is obtained using imagery from the Landsat 5 and Landsat 8 satellites, …

Artificial Intelligence (Ai) In Pharmacy, Giang Nguyen, Elizabeth Sartschev, John Reyes, Allie Honigford, Marisa Petrunich, Kiley Devoll, Brianna Lu, Joshua Honaker, T'Bony M. Jewell

Pharmacy and Wellness Review

Artificial Intelligence (AI) has transformed the pharmaceutical field by enabling computer software systems to learn and perform human behavior. Specifically, AI has revolutionized chronic diabetes management through continuous glucose monitoring, showcasing its immense potential in healthcare. However, alongside its transformative impact, AI’s increasing role in healthcare has prompted concerns over privacy and its premature integration. Despite these challenges, AI offers limitless opportunities to improve medication management and treatment regimens, driving advancements across various domains. From improving CT imaging to enhancing adenoma detection in colonoscopies and facilitating medication adherence, AI’s impact on healthcare is profound. Furthermore, AI plays a pivotal role …

Inclusive Space For Everyone Door Sign (Printable 8.5 X 11 Inch), Joan H. Robinson

Open Educational Resources

This is a printable 8.5 x 11 inch door sign for faculty, staff, and administrators to let people know it is an inclusive space for everyone. For improved visibility, print with a color printer and cut along the dotted line.

See also: 11 x 17 inch door sign.

Hypergraph Association With Lie Algebra Of Upper Triangular Matrices And Its Application To Wireless Networks, Supriya S

Theses and Dissertations

A hypergraph is a generalized graph characterized by edges spanning more than one vertices describing multiple relationships among them. It provides a mathematical framework for comprehending and learning about a wide range of real-world challenges. On the other side, the theory of non-associative algebras, such as Jordan, Octonions, Malcev, and Lie, has found significant impetus in recent years. These structures proved intriguing from an algebraic standpoint; they generated novel concepts and approaches that aided in solving specific classic algebraic problems, also progressing towards application.

A preeminent observation that galvanizes this thesis is that hypergraph association is still unexplored in Lie …

Stochastic Games Of Parental Vaccination Decision Making And Bounded Rationality, Andras Balogh, Tamer Oraby

School of Mathematical & Statistical Sciences Faculty Publications

Vaccination is an effective strategy to prevent the spread of diseases. However, hesitancy and rejection of vaccines, particularly in childhood immunizations, pose challenges to vaccination efforts. In that case, according to rational decision-making and classical utility theory, parents weigh the costs of vaccination against the costs of not vaccinating their children. Social norms influence these parental decision-making outcomes, deviating their decisions from rationality. Additionally, variability in values of utilities stemming from stochasticity in parents' perceptions over time can lead to further deviations from rationality. In this paper, we employ independent white noises to represent stochastic fluctuations in parental perceptions of …

The Integrated Monitoring Of Karst Systems (Miks) Model, Applied In Karst Studies In Bulgaria, Petar Stefanov, Dilyana Stefanova, Peter Nojarov

International Journal of Speleology

Karst is a widespread natural phenomenon that is highly sensitive and very vulnerable to both natural and various anthropogenic impacts. This is due to the complex structure of karst territories, which comprise both surface forms and complex systems of underground cavities. Therefore, the study of karst requires a geosystem approach and integrated monitoring, which gives a real idea of the state of karst geosystems and the impacts of global changes on karstogenesis. The article presents a model of this approach, which is applied in karst studies in Bulgaria. The methodological basis is the original ProKARSTerra paradigm, based on the geosystem …

Comparing In-Person, Standard Telehealth, And Remote Musculoskeletal Examination With A Novel Augmented Reality Exercise Game System: Pilot Cross-Sectional Comparison Study, Richard Wu, Keerthana Chakka, Sara Belko, Ninad Khargonkar, Kevin Desai, Balakrishnan Prabhakaran, Thiru Annaswamy

SKMC Student Presentations and Publications

BACKGROUND: Current telemedicine technologies are not fully optimized for conducting physical examinations. The Virtual Remote Tele-Physical Examination (VIRTEPEX) system, a novel proprietary technology platform using a Microsoft Kinect-based augmented reality game system to track motion and estimate force, has the potential to assist with conducting asynchronous, remote musculoskeletal examinations.

OBJECTIVE: This pilot study evaluated the feasibility of the VIRTEPEX system as a supplement to telehealth musculoskeletal strength assessments.

METHODS: In this cross-sectional pilot study, 12 study participants with upper extremity pain and/or weakness underwent strength evaluations for four upper extremity movements using in-person, telehealth, VIRTEPEX, and composite (telehealth plus VIRTEPEX) …

Classification Of Schizophrenia, Bipolar Disorder And Major Depressive Disorder With Comorbid Traits And Deep Learning Algorithms, Xiangning Chen, Yimei Lu, Joan Manuel Cue, Mira V Han, Vishwajit L Nimgaonkar, Daniel R Weinberger, Shizhong Han, Zhongming Zhao, Jingchun Chen

Faculty, Staff and Student Publications

Many psychiatric disorders share genetic liabilities, but whether these shared liabilities can be utilized to classify and differentiate psychiatric disorders remains unclear. In this study, we use polygenic risk scores (PRSs) of 42 traits comorbid with schizophrenia (SCZ), bipolar disorder (BIP), and major depressive disorder (MDD) to evaluate their utilities. We found that combining target specific PRS with PRSs of comorbid traits can improve the classification of the target disorders. Importantly, without inclusion of PRSs from targeted disorders, we can still classify SCZ (accuracy 0.710 ± 0.008, AUC 0.789 ± 0.011), BIP (accuracy 0.782 ± 0.006, AUC 0.852 ± 0.004), …

A Review Of Artificial Intelligence, Algorithms, And Robots Through The Lens Of Stakeholder Theory, Michael J. Matthews, Su Runkun, Lindsey Yonish, Shawn Mcclean, Joel Koopman, Kai Chi Yam

Management Faculty Publications

With the arrival of the Fourth Industrial Revolution, intelligent machines are affecting the daily lives of multiple organizational stakeholders. However, despite the continued expansion of intelligent machines in society, management scholarship has generally lagged, and current frameworks are under-equipped to offer meaningful guidance regarding the intersection of intelligent machines and organizations. We address this issue via a multidisciplinary review and a novel framework of intelligent machines and value creation. First, we discuss the characteristics of intelligent machines (i.e., autonomy, learning, inscrutability, and materiality) and how variation in these characteristics impacts their affordances and, subsequently, the value offered to stakeholders. We …

Discovery And Functional Characterization Of Biomarkers In Clear Cell Renal Cell Carcinoma, Wagma Caravan

Arts & Sciences Graduate Student Theses and Dissertations

Not all tumors are created equally, nor should they be treated as such. Modern research has uncovered a multitude of genetic aberrations, genomic dysregulation, and epigenetic modifications that contribute to cancer. While cancers are classified based on their tissue of origin and may share common features or pathways, the tumor microenvironment is far from uniform. It comprises a dynamic network of cell populations with divergent genomic profiles, all of which collectively drive tumor progression—with some tumors more efficient and aggressive than others. The heterogeneity within these tumors makes it notoriously harder to treat, as standard therapies fail to address the …

Optimized Hiv/Aids Resource Allocation In Ohio: A Linear Programming Approach, Godfred Ahenkroa Kesse

Data Science and Data Mining

This study employs a linear and integer programming approach to optimize HIV resource allocation in Ohio, aiming to minimize new infections and enhance the impact of limited resources. With the advances in HIV prevention and treatment, Ohio faces challenges in addressing disparities in access to healthcare, particularly among high-risk populations. The proposed model integrates data on infection rates, transmission patterns, demographic factors, and cost-effectiveness to provide a decision-support framework for policymakers. Using epidemiological data and equity constraints, the model prioritizes high-risk regions and populations while ensuring fair resource distribution. Results indicate that increased funding allocations significantly enhance the potential to …

Impacts Of Changing Temperatures On The Water Budget In The Great Salt Lake Basin, Grace Affram, Jihad Othman, Reza Morovati, Saddy Pineda Castellanos, Sajad Khoshnoodmotlagh, Diana Dunn, Braedon Dority, Katherine Osorio Diaz, Cody Ratterman, Wei Zhang

Plants, Soils and Climate Student Research

Quantifying the water budget in the Great Salt Lake (GSL) basin is a nontrivial task, especially under a changing climate that contributes to increasing temperatures and a shift towards more rainfall and less snowfall. This study examines the potential impacts of temperature thresholds on the water budget in the GSL, emphasizing the influence on snowmelt, evapotranspiration (ET), and runoff under varying climate warming scenarios. Current hydrological models such as the Variable Infiltration Capacity (VIC) model use a universal temperature threshold to partition snowfall and rainfall across different regions. Previous studies have argued that there is a wide range of thresholds …

Exploring Single Cell Microbial Protein As A Sustainable Fishmeal Alternative In Yellowtail Kingfish (Seriola Lalandi) Diets: Impacts On Health And Gut Microbiome, Luke Pilmer, Lindsey Woolley, Alan Lymbery, Chinh Dam, Abigail Elizur, Md Javed Foysal, Gavin Partridge

Fisheries Research Articles

Background

With the global expansion of aquaculture and the increasing demand for fish meal, identifying appropriate and sustainable alternative protein sources for aquafeeds has become essential. Single-cell protein (SCP), derived from methanotrophic bacteria, presents a promising alternative by converting methane into protein, potentially addressing both the need for alternative protein sources and reducing industrial greenhouse gas emissions. This study aimed to evaluate the effects of different levels of SCP inclusion (0%, 25%, 50%, and 75% fish meal replacement) on the health, gene expression, and gut microbiome of yellowtail kingfish (YTK, Seriola lalandi) following a 35-day growth trial.

Results

The …

Icipe Monthly Digest – Volume 1, Issue 2, February 2025, International Centre Of Insect Physiology And Ecology (Icipe)

icipe Newsletters

No abstract provided.

Operationalizing And Measuring Climate Change Adaptation Success, Henry A. Bartelet, Michele L. Barnes, Lalu A.A. Bakti, Graeme S. Cumming

Quantitative Methods and Information Technology Faculty Publications

In a context of rapid global change, understanding whether and how adaptation to climate change can be considered successful has become an important research gap within the climate change adaptation literature. Although definitions of adaptation success have been formulated, it remains unclear how they can be operationalized and tested empirically. To address this gap, we operationalized one of the most prominent definitions of successful adaptation within the academic literature, which describes success as adaptations that support reductions in risk and vulnerability without compromising sustainability. Specifically, drawing on data collected from 209 coral reef tourism operators across 28 locations and eight …

Confronting Catastrophic Risk: The International Obligation To Regulate Artificial Intelligence, Bryan Druzin, Anatole Boute, Michael Ramsden

Michigan Journal of International Law

While artificial intelligence (“AI”) holds enormous promise, many experts in the field are warning that there is a non-trivial chance that the development of AI poses an existential threat to humanity. Existing regulatory initiatives do not address this threat but instead merely focus on discrete AI-related risks such as consumer safety, cybersecurity, data protection, and privacy. In the absence of regulatory action to address the possible risk of human extinction by AI, the question arises: What obligations, if any, does public international law impose on states to regulate its development?

At present there is no scientific consensus as to the …

Environmental Monitoring Report: For Work To Be Performed: July 1, 2023 Through June 30, 2024, Tennessee. Department Of Environment And Conservation

Environmental Monitoring Reports

This FY2024 EMR presents results for independent projects, originally defined in TDEC’s FY2024 Environmental Monitoring Plan (EMP) and subsequently completed over the course of FY2024 period of performance.

Zombie-Auras: Genai And Hybrid Text Production, Joshua Nieubuurt

English Faculty Publications

This paper explores the iterative evolutions of textual production and their impact on the “aura” of texts, as conceptualized by Walter Benjamin. The study identifies three key phases of textual production: the natural, the mechanized, and the digitized, each progressively displacing the “cult value” of texts. This cult value is lost through increased ease of creation, reproduction, dissemination, and dislocation of creators and audiences in time and space. The advent of Generative AI (GenAI) marks the latest evolution, transforming the “aura” into a memetic “zombie” form—familiar yet opaque, evoking both the sublime and fear. By examining Benjamin’s notion of “aura” …

The Role Of Secondary And Tertiary Structure In The Cap-Independent Translation Of Fgf-9 And Hif-1-Alpha, Amanda Michelle Whittaker

Dissertations, Theses, and Capstone Projects

Under normoxic conditions, eukaryotes initiate translation of RNA through eIF4E recognition of the 5’ cap. However, under cellular stress, eukaryotic translation must be initiated through a 4E-independent, or “cap-independent” mechanism, involving eukaryotic initiation factor 4G (eIF4G) binding directly to the 5’ untranslated regions (5’ UTR) of the RNA. eIF4G binding then recruits the ribosome to the transcript. While this mechanism is useful for translation of apoptotic transcripts and transcripts involved in cell survival, cap-independent translation is also utilized by oncogenic RNA for tumorigenesis. Previous work by our lab and others has categorized this recruitment and initiation mechanism as either internal-ribosome-entry-site …

Studies On The Synthesis, Function, And Properties Of Troponoids, John-Charles A. Baucom

Dissertations, Theses, and Capstone Projects

Troponoids are a unique class of non-benzenoid aromatic compounds with a wide range of demonstrated applications in pharmaceuticals and molecular sensing. The cycloheptatrienone scaffold possesses a noteworthy degree of tunability as a function of ring oxygenation. This manuscript describes our efforts toward a better understanding of the physical consequences of the scaffold to better utilize the motif. Chapter the first discusses our efforts at elucidating the mechanism of troponoid inhibition of the Hepatitis B virus reverse transcriptase RNAse H enzymatic domain. Using homology modeling in conjunction with traditional in vitro assays we were able to establish the likely mechanism of …

Tracing The Sources Of Nitrogen In Submarine Groundwater Discharge And Primary Producers In The Great South Bay Estuary, Nia H. Rene

Dissertations, Theses, and Capstone Projects

The primary aim of this research was to elucidate the impact of submarine groundwater discharge (SGD) and septic effluent on coastal primary producers in the Great South Bay (GSB). The study focused on three main objectives: assessing the impact of precipitation patterns on SGD, tracing nitrogen sources into the GSB, and determining the impact of these nitrogen sources on coastal primary producers. The research revealed that current precipitation patterns significantly influence SGD across different seasons, highlighting the seasonal variability in groundwater discharge and its implications for nutrient loading in coastal waters. A suite of tracers was employed to identify and …

Taming Biological Complexity Through The Use Of Symmetries, Luis A. Álvarez-García

Dissertations, Theses, and Capstone Projects

The study of biological systems is, inherently, the study of very complex systems. This is essentially due to the fact that they are made up of numerous, often very complicated, interactions between an extensive number of components. Often necessitating an abundance of quantitative parameters and details for a precise description. The human brain for ex- ample, consisting of ∼ 80 billion neurons with ∼ 800 to 100 trillion connections between them, each of them depending on a large set of parameters. Even simpler examples such as bacterial organisms, such as E. coli and B. subtilis, which we focus on …

Development Of Soil Survey Methods For Urban Areas, Kohinoor Begum

Dissertations, Theses, and Capstone Projects

Urban soils are the foundation of urban ecosystems and play a vital role in long-term urban sustainability and resiliency. Accurate soil surveys of urban areas should be done at higher resolution since extensive human activities often result in urban soil being highly disturbed and spatially variable. Besides heterogeneity, one of the unique and challenging aspects of urban soil is the nature and properties of its organic carbon with a significant percentage of black carbon (a particulate product of incomplete combustion), which is less biologically active. Thus, in order to determine the ability of a soil to support biological activity and …