Digital Commons Network^™

Re: Approval Letter For Butte Priority Soils Operable Unit (Bpsou) Draft Final 2024 Subdrain Data Summary Report (Dated April 30, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Correction: Turn-On Fluorescent Glucose Transport Bioprobe Enables Wash-Free Real-Time Monitoring Of Glucose Uptake Activity In Live Cells And Small Organisms, Monica S. Hensley, David Hutchings, Abdelrahman Ismail, Micaela Rayne Geborkoff, Thomas Werner, Marina Tanasova

Michigan Tech Publications

Correction for “Turn-on fluorescent glucose transport bioprobe enables wash-free real-time monitoring of glucose uptake activity in live cells and small organisms” by Monica S. Hensley et al., RSC Chem. Biol., 2025, 6, 987–995, https://doi.org/10.1039/D4CB00239C.

The authors regret that two contributors, Micaela Rayne Geborkoff and Professor Dr Thomas Werner, were inadvertently omitted from the original author list of this article. Both individuals made significant contributions to the research reported.

Micaela Rayne Geborkoff was involved in the design, planning, and execution of the Drosophila experiments, specifically in the growth and treatment of fruit fly larvae. Professor Dr Thomas Werner provided …

Synthesis And Evaluation Of Novobiocin Analogues As Potential Inhibitors Of Polymerase Theta Polθ In Dna Damage And Repair, Mohammed Essam Albuhluli

Theses and Dissertations

Killing tumors while leaving normal cells unharmed is the goal of precision cancer therapy, a challenging feat that is enabled by targeting tumor-specific vulnerabilities [1]. Targeting Polθ potentiates PARP inhibitors (PARPi) in specifically killing homology-directed repair (HDR)-deficient tumor cells and re-sensitize PARPi resistant tumor cells [1]. The induced essentiality between Polθ and HDR-deficiency underscores the value of Polθ as a therapeutic target in the context of tumors with HDR genetic mutations [1]. The helicase-like domain (HLD) is a super family 2 (SF2)-type domain with DNA-dependent ATPase activity [1]. We previously discovered that the antibiotic NVB acts as an inhibitor of …

Modeling, Analysis, And Prediction Of Covid-19 Dynamics With Interacting Subpopulations And Implicit Behavior Using Physics-Informed Neural Networks, Naima Aubry-Romero, Alonso Ogueda-Oliva, Padmanabhan Seshaiyer

Spora: A Journal of Biomathematics

In this paper, we consider an extended SEIR compartmental model that incorporates young and old interacting subpopulations, allowing for cross-group transmission dynamics. Implicit behavioral changes are included to determine the influence of social behavior on coronavirus transmission dynamics. The basic reproduction number, the average number of secondary cases of infection produced by a single primary case, is derived for both the explicit and implicit model using the next-generation matrix method. We solve the associated differential equation systems and estimate useful parameters in the explicit model using physics-informed neural networks (PINNs). Our results point to how the PINNs approach offers an …

Discharge System Field Sampling Plan, 2025 Update Silver Bow Creek/Butte Area Npl Site Butte Mine Flooding Operable Unit | Butte, Montana, Mark Thompson, Dave Griffis

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Green Energy Production Using A Hydro-Generator In An Underground Mine Water Pumping Station – Case Study, Andrzej Chmiela, Beata Barszczowska, Eugeniusz Krause, Arkadiusz Kulawik, Adam Smolinski

Journal of Sustainable Mining

The paper analyses the experience of almost one year of production of “green” electricity by a hydro-generator using a constant water drop in the pits of mine water pumping stations. The main technical, economic and environmental parameters obtained by the applied technical and organisational system are presented. Equipping the mine water pumping station with a hydro-generator proved to be a good investment. The investment offers a relatively low risk with a relatively low initial outlay and a relatively short payback period of about 4 years. The innovative use of typical but modern elements in an atypical operating environment has not …

Assessing The Living Conditions Of Mining-Induced Resettled Persons: The Case Of Ahafo South Resettlement Communities, Ghana, Jonathan Zinzi Ayitey, Mustapha Okyere, Frank Gyamfi-Yeboah

Journal of Sustainable Mining

This study examines the living conditions of mining-affected persons in the Ahafo South Mining Communities in Ghana using Cernea’s Impoverishment Risks and Reconstruction (IRR) model. Employing a case study design, data for the study was obtained through a combination of semi-structured interviews and close-ended questionnaires administered to ninety (90) respondents in the Ntotroso and OLA resettlement communities in the Asutifi North District, Ghana. The results show a complex mix of outcomes of mining-induced displacement and resettlement of the resettled population. While an analysis of resettlement impacts found a high level of satisfaction among the resettled population with housing provision, road …

Exploring The Interactions Between Mining And Climate Change: A Bibliometric Analysis, Artatrana Mishra, Sarat Chandra Sahu, Manish Yadav, Nitin Kumar Singh

Journal of Sustainable Mining

The increasing demand for minerals has placed huge pressure on the mining industry to increase production, which consequently affects the environment, and, thus, contributes to climate change. Coal extraction has been reported to be a major contributor to global CO₂ emissions, mainly due to the burning of fossil fuels. As a consequence, the frequency and severity of extreme climatic events have also increased throughout the world. Mining is essential for the development of society but contributes to climate change. On the contrary, extreme weather events and rising temperatures associated with climate change affect the overall productivity of mining companies. …

Evaluation Of Cyanide Removal Processes On Water Effluents From Gold Ore Processing And Industrial Scale Up, Juliana Freitas, Jorge Bellido

Journal of Sustainable Mining

Gold extraction goes through different steps, from research to physical-chemical processing, which uses chemical reagents for extraction, such as cyanide. In literature, there are presented many ways to remove cyanide from this effluent on a bench scale, although on an industry scale it is not very often analysed. In this study, seeking innovation on an industrial scale for cyanide removal from real effluent generated by gold processing was analysed through oxidation with H₂O₂ and Fenton process. It was proven that these processes can remove cyanide at the levels required for recirculation of the effluent in the process, …

Healthcare Administration Within Free Medical Clinics And The Impacts On The Sustainable Development Goals, Saneywongse Le Mar

Goal 3: Good Health and Well-Being

No abstract provided.

Pure And Strong Nash Equilibrium Computation In Compactly Representable Aggregate Games, Jared Soundy, Mohammad T. Irfan, Hau Chan

Research & Publications

Aggregate games model interdependent decision making when an agent’s utility depends on their own choice and the aggregation of everyone's choices. We define a compactly representable subclass of aggregate games we call additive aggregate games, which encompasses popular games like congestion games, anonymous games, Schelling games, etc. We study computational questions on pure Nash equilibrium (PNE) and pure strong Nash equilibrium (SNE). We show that PNE existence is NP-complete for very simple cases of additive aggregate games. We devise an efficient algorithmic scheme for deciding the existence of a PNE and computing one (if it exists) for bounded aggregate space. …

Utahns’ Awareness Of The Drying Up Of The Great Salt Lake, Ashley Young

Utah People and Environment Poll (UPEP)

The Great Salt Lake provides several benefits for the state of Utah. It supports industry, recreational activities, and aquaculture. It also provides wetland habitat to twelve million migratory birds.¹ Due to drought induced by climate change and human water use, the lake has been shrinking rapidly in a process known as desiccation. The desiccation threatens the lake’s economic and ecological benefits while also posing other potential challenges. Dust from the dry lakebed may also cause health challenges for humans, as the dust contains harmful amounts of arsenic, lithium, copper, and other metals.²

Utah’s ability to combat desiccation of …

Barrier Removal Is A Strategy For Climate Resilience, Sarah E. Null, William Bosen, Gregory Goodrum

Watershed Sciences Faculty Publications

Millions of dams and in-stream barriers have been built worldwide to manage water supply, reduce flood risk, generate hydropower, and support recreation, navigation, and road infrastructure. The National Aquatic Barrier Inventory estimates over 550,000 dams and over 298,000 road-related barriers that fragment streams in the United States¹. As dams age and as droughts and floods become more intense, some dams and barriers have become problems, for example, by outliving their useful life, presenting safety concerns to communities, and impacting ecosystems, especially in a changing climate. These dams – the ones that present safety concerns due to their age …

Fisheries Science Update - Pilbara Fishing Competition Science 2020 To 2024 - July 2025, Department Of Primary Industries And Regional Development, Western Australia

Fisheries Science Updates

Key Points:

• Pilbara recreational fishing competitions are helping to track the sustainability of pelagic species like Spanish mackerel.
• Over 500 pelagic fish have been sampled at Pilbara fishing competitions over 5 years.
• This information goes towards DPIRD’s assessment of Spanish mackerel and monitoring the large pelagic resource in the North Coast Bioregion.

Geophysical Tools For Agricultural Management: Trends, Challenges, And Opportunities, Sophia Becker, Trenton Franz, Yufeng Ge, Joe Luck, Derek M. Heeren

School of Natural Resources: Faculty Publications

Agrogeophysics is a convergence of proximal soil sensing and hydrogeophysics in which geophysical methods are used to describe soil patterns and dynamics that shape agronomic management (including precision agriculture). To fully realize its potential for optimizing agricultural production, current barriers and targets for future agrogeophysics research must be identified. In this review, we compare the trajectory of agrogeophysics within peer-reviewed literature, patents, and the US university extension literature and examine the current challenges and opportunities for supporting agricultural production and sustainability with agrogeophysical tools. We conducted a repeatable search of Web of Science and Scopus for seven geophysical methods (electromagnetic …

Patient Activation Measure (Pam) And Perceptions Of Bariatric Surgery, Jaiden Lee, Adrian Harsono, Gina Kim, Nathan C. English, Gurudatta A. Naik, Dinakar Sai Velagala, Kristen Wong, Richard D. Stahl, Jayleen M. Grams, Daniel I. Chu, Margaux N. Mustian

Expo Student Presentations

2025 Summer Expo Oral Presentation

• Physical & Applied Sciences

Analyzing Racial And Geographic Distribution In Clinical Trial Enrollment Among Women With Advanced Stage Ovarian Cancer, Paxton Gillispie, Dhruva Dave, Gerald Mcgwin, Ashwini Katre, Ashley Anderson, Teresa Boitano, Nneka Ijeli, Purva Pawar, Rebecca Arend

Expo Student Presentations

2025 Summer Expo Poster Presentation

• Physical & Applied Sciences
• Health Sciences & Health Professions

Serum Analysis For Hiv-1 Envelope Specific And Autoantigen Reactive Igg And Igm Antibody Response In Hvtn 702 Trial Participants, Tatyana Mompoint, Rashi Kalra, James Kobie

Expo Student Presentations

2025 Summer Expo Poster Presentation

• Physical & Applied Sciences

Substance Use Disorder Risk Factors For Women In A Residential Recovery Program, Jillian Vickers, Deborah Bowers

Expo Student Presentations

2025 Summer Expo Poster Presentation

• Physical & Applied Sciences

Adaptation Planning To Mitigate Flood Risk: Bellevue, Nebraska As A Case Study, Michael Nti Ababio

Community and Regional Planning Program: Theses

Flooding remains one of the most pressing natural hazards in the United States, with increasing frequency and intensity driven by climate change. This thesis explores the adaptation planning strategies employed to mitigate flood risks in Bellevue, Nebraska, a city significantly impacted by the 2019 floods in eastern Nebraska. Using a mixed-methods approach, the study combines quantitative analysis of flood vulnerability with a critical review of local planning policies using documents, zoning ordinances and institutional frameworks. Spatial analytical tools such as Global Moran’s I and Hot Spot Analysis (Getis-Ord Gi*) were used to detect clustering of inundated buildings during the 2019 …

Assessment Of Spatial Autocorrelation And Scalability In Fine-Scale Wildfire Random Forest Prediction Models, Madeleine Pascolini-Campbell, Joshua B. Fisher, Kerry Cawse-Nicholson, Christine M. Lee, Natasha Stavros

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Wildfire prediction models that can be applied across diverse regions at fine scales (<  100 m) are critical for wildfire management. Remote sensing offers a path forward by providing heterogeneous and dynamic measurements of fuel load, type, and flammability. Machine learning methods such as random forests provide an empirical framework that are high-accuracy, computationally efficient, interpretable and able to model complex ecological relationships. Here we use high resolution (70 m, every 3–5 days) remote sensing observations of evapotranspiration and evaporative stress index, which represent plant water stress, from Ecosystem Spaceborne Thermal Radiometer on Space Station (ECOSTRESS), as well as topography and weather data, to predict burn severity and occurrence for 8 large wildfires that burned 3715 km² from 2021 and 2022 in New Mexico, USA. These fires ranged from low to high burn intensity, and covered a diverse range of ecoregions (deserts, grasslands, forests), plant species, and topographies. We used a single model to predict the burn severity of all wildfires one week before occurrence. The prediction accuracy was greatest when using all predictors (ECOSTRESS, weather, topography) (R² = 0.77). We assessed the role of spatial autocorrelation in driving model performance by: (1) increasing the sample spacing of our dataset, (2) …

Machine Learning For Digital Biomarker-Based Detection Of Cognitive Decline, Seng Khoon The

Dissertations and Theses Collection (Open Access)

Dementia is a neurodegenerative disease with a prevalence rate expected to triple by 2050, posing a significant challenge for health services. To impede the increasing prevalence, medical professionals and scientists are actively investigating technology to detect cognitive decline at a reversible stage known as Mild Cognitive Impairment (MCI). Digital biomarker technology is an emerging pragmatic approach to permit objective, ecologically valid, and long-term continuous measurement of cognitive health status, rendering it as one of the promising technologies for early MCI detection. Despite its potential, it is nontrivial to encode, extract and combine predictive information from these digital biomarker technologies; advanced …

Urbanization In Resource-Based County-Level Cities In China: A Case Study Of New Urbanization In Wuan City, Hebei Province, Jianguang Hou, Danlin Yu, Hao Song, Zhiguo Zhang

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

This study investigates the complex dynamics of new-type urbanization in resource-based county-level cities, using Wuan City in Hebei Province, China, as a representative case. As China pursues a high-quality development agenda, cities historically dependent on resource extraction face profound challenges in achieving sustainable and inclusive urban growth. This research employs a multi-method approach—including Theil index analysis, industrial shift-share analysis, a Cobb–Douglas production function model, and a composite urbanization index—to quantitatively diagnose the constraints on Wuan’s development and assess its transformation efforts. Our empirical results reveal a multifaceted situation: while the urban–rural income gap has narrowed, rural income streams remain fragile. …

Culture Bears The Way, While Technology Facilitates Action: Research Of The Adoption Willingness Of Aigc In Academic Writing Among Young Scholars, Jiangfeng Liu, Zihui Wang, Zhiwei Hu, Lei Pei

Journal of Scientific Information Research

[Purpose/significance] Clarifying the influencing factors of young scholars' willingness to use AIGC and its path of action,then making effective enhancement strategies,would help to further expand the application of AIGC in academic writing.

[Method/process] This paper combs through the studies on AIGC information behavior, and identifies TOE(Technology-Organization-Envifonment，TOE) theory and research life cycle theory as the base theory. Semi-structured interviews were conducted for procedural grounded theory coding. Then, a questionnaire survey and qualitative comparative analysis using fuzzy sets were conducted to obtain the influencing factors grouping path.

[Result/conclusion] Five factors, induding content quality, system quality, perceived risk, expectation confirmation, and group norms, …

Advancing Statistical Methods For Multivariate And Network Meta-Analysis, Yifei Wang

Statistical Science Theses and Dissertations

Multivariate meta-analysis (MMA) and network meta-analysis (NMA) are essential tools for synthesizing evidence across multiple correlated outcomes and treatments. However, these tools face practical challenges, including outcome reporting bias (ORB), unreported within-study correlations, and computational burden. ORB can distort effect estimates in MMA, while missing within-study correlations in multivariate NMA may lead to biased conclusions. To address these challenges, this dissertation introduces two novel statistical methods. For MMA, we propose SemiMMA, a semiparametric and scalable approach that treats ORB as a missing-not-at-random problem and combines inverse propensity weighting (IPW) with the generalized method of moments (GMM). For multivariate NMA, we …

Water Current, Volume 57, No. 2, Summer 2025

Water Current Newsletter

No abstract provided.

Soil Health In Nebraska: Exploring Practitioners' Needs And Insights From A Long-Term Organic Farm, Ingrids Isabel Mata Vigil

Department of Agronomy and Horticulture: Dissertations, Theses, and Student Research

Soil health is foundational to sustainable agriculture, environmental resilience, and long-term food security. Yet, the adoption of soil health assessments remains limited, often perceived as too technical, costly, or difficult to implement in real-world contexts. To better understand these challenges, the first chapter presents findings from a statewide survey of 41 soil health practitioners in Nebraska, including farmers, extension educators, NRCS staff, and conservation professionals. Respondents highlighted the need for simpler, more accessible, and context-specific tools for soil health assessment that help practitioners make informed decisions aligned with their management goals. Complementing these insights, the second chapter includes an independent, …

Use Of High-Throughput Phenomics With And Without Fungicide As A Wheat Breeding Tool, Gerardo Ivan Rivera Collazo

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Wheat (Triticum aestivum) is an important food staple for many countries around the world and current consumption and production data demonstrate a production deficit. Breeders are challenged to help close this gap in production by selecting better cultivars with improved yields. Several methods aim to accelerate the breeding process to reduce the time required for releasing an elite variety. One of the main breeding bottlenecks is the lack of fast and reliable phenotypic data acquisition that could dissect physiological and morphological plant data. High-throughput remote sensing could have the potential to reduce this bottleneck by streamlining data acquisition, …

A Study Of Ice And Fire: Environmental Change Impacts On Lakes Of The Nebraska Sandhills, Daniel Gschwentner

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

The Nebraska Sandhills contain thousands of shallow, groundwater-fed lakes. These lakes are extremely sensitive to environmental and climatic changes due to their isolated hydrological setting and small volume. Building on previous work on the hydrology, geochemistry and long-term climate response of Sandhill lakes, my research considers how ecosystem processes such as primary production, nutrient limitation and water quality respond to short-term environmental and climatic change. In my first data chapter, I highlight that Sandhill lakes are nitrogen (N) but not phosphorus (P) limited and that N:P ratios are poor predictors of nutrient limitation status in Sandhill lakes. In my second …

Catching A Fever: A Comparison Of Vachellia Xanthophloea Populations In The Limpopo And Luvuvhu River Floodplains Of The Makuleke Contractual Park, Kianie B. David

School of Natural Resources: Dissertations, Theses, and Student Research

This study investigates patterns of stand structure regeneration, growth characteristics, and coarse woody debris (CWD) patterns in Vachellia xanthophloea (fever tree) stands within the Makuleke Contractual Park (MCP), a semi-arid savanna system in northern Kruger National Park (KNP), South Africa. Fieldwork was conducted across two stand types: a monospecific fever tree stand in Rietbok Vlei and a mixed-species stand in the Western Nhlangaluwe Floodplain where fever tree is established with Faidherbia albida (ana tree). Data were collected from 20 total 1/4-acre (1,011 m²) circular plots between both stands in 2024 and 2025, including seedling root collar diameter (RCD), …