Digital Commons Network^™

Homework, Households, And Hurdles: The Unexpected Drivers Of Student Graduation Perceptions, Daniel Alhassan, Zahra Fatah, Priscilla Mansah Codjoe, Caroline Bena Kuno, Dorcas Ofori-Boateng

Mathematics and Statistics Faculty Publications and Presentations

Students’ perceptions of their likelihood to graduate are important determinants of their academic engagement, yet these perceptions remain understudied. This study, which is based on the 2021 Monitoring the Future survey of 8th- and 10th-grade students in the United States, uses machine learning algorithms to identify the most important factors that influence these perceptions. Among the tested models, random forest provided the best classification performance. Using permutation-based feature importance, we identified frequent participation in schoolwork, maternal education, paternal education, and homework completion as the most important predictors of students’ graduation perceptions. These results highlight the importance of targeted and well-coordinated …

Synthesis Of Carboxymethyl Cellulose From Nypa Fruticans For Coating Metformin On Zn-Based Metal-Organic Framework Nanohybrid As A Bionanocomposite Drug Delivery System, Delviani Delviani, Viola Giary Rizkillah Maharani, Putri Nur Shadrina, Tri Warni, Regina Wan Azizah, Indra Lasmana Tarigan, Madyawati Latief

Makara Journal of Science

Diabetes is a common and rapidly spreading disease that affects 6.6% of the world’s population. Metformin hydrochloride (HCl) is an effective oral pharmacological treatment for type 2 diabetes mellitus (T2DM) patients because of its capability to reduce glucose levels and the risk of hypoglycaemia. However, gastrointestinal sensitivities to this drug can cause diarrhoea, nausea, vomiting and stomach ache. An alternative is controlled release technology by coating metformin with carboxymethyl cellulose (CMC) and zinc-metal-organic framework (Zn-MOF) through the encapsulation method. Therefore, this study aimed to coat metformin formulations using CMC in a Zn-MOF to control release into the body and minimise …

Removal Of Heavy Metals From Motorcycle Washing Wastewater Using A Zeolite-Embedded Sheet, Noverita Dian Takarina, Hanies Ambarsari, Sekar Arum Pramudyawardhani, Maria Fatima Niken Kris Rahmawati, Erni Johan, Naoto Matsue, Mohammad Afdhal Adidharma

Makara Journal of Science

The increased use of motorcycles for transportation has heightened environmental challenges related to their washing, particularly the discharge of untreated wastewater containing heavy metals, such as copper (Cu) and lead (Pb), into drainage systems. This study explored the effectiveness of zeolite-embedded sheets (ZESs) in the removal of these pollutants from motorcycle washing wastewater. ZESs were prepared through treatment of nonwoven sheets with Linder Type A (LTA Zeolite) powder and heat treatment, washing, and drying. Characterization was performed via scanning electron microscopy with energy-dispersive X-ray spectroscopy, and Fourier transform infrared spectroscopy. Over a 60 min adsorption period, the ZES achieved removal …

Exploring The Translation Lookaside Buffer (Tlb) For Low-Level Task Differentiation And Classification, Cristian Agredo, Daniel F. Koranek, Christine M. Schubert, Jose A. Gutierrez Del Arroyo, Tor J. Langehaug, Scott R. Graham

Faculty Publications

The primary focus of modern Central Processing Unit (CPU) technologies is performance improvement, with security often considered a secondary concern. As a result, vulnerabilities within the system are overlooked. While significant research, both offensive and defensive, has been conducted on CPU caches, relatively little attention has been given to the Translation Lookaside Buffer (TLB) due to its perceived lack of data granularity. Prior studies have typically combined multiple Hardware Performance Counters (HPCs) or relied on timing analysis to extract meaningful insights. In contrast, this study introduces a novel methodology that leverages only TLB related HPCs for multi-task classification, without incorporating …

Enhanced And Proficient Chitosan Membranes Embedded With Polyaniline-Tio2 Core-Shell Nanocomposites For Fuel-Cell Hydrogen Storage, Mallikarjunagouda Patil, Sridhar N. Mathad, Arun Y. Patil, Abdulaziz Abdulah Al-Kheraif, Sachin Naik, Sajith Vellapally

Turkish Journal of Chemistry

This study investigates the preparation and properties of aniline polymerized in situ onto a nanosized TiO2 surface to form core-shell nanoparticles at ambient temperatures. The in situ polymerization of aniline to polyaniline (PANI), in conjunction with the utilization of an anionic surfactant, was employed in this investigation. The prepared PANI-TiO2 core-shell nanoparticles were integrated with chitosan at a gravimetric ratio and cast as core-shell nanocomposite membranes. The nanocomposites were subjected to structural analysis using Fourier transform infrared spectroscopy and X-ray diffraction patterns. The surface morphologies of the PANI and its nanocomposites were analyzed using scanning electron microscopy. Direct current conductivity …

1,3,4-Thiadiazole Derivatives As Pi3ks Inhibitor: Design, In Silico Studies, Synthesis, Characterization, And Antimicrobial Evaluation, Dharmvir Singh, Pankaj Kumar, Anoop Kumar, Vivek V. Bhosale, Kalicharan Sharma, Deepak Kumar, Ramchander Khatri, Tanuj Hooda, Amit Lather

Turkish Journal of Chemistry

Since PI3Ks are targeted by a variety of bacterial pathogens, they represent a promising target for host-directed immune therapy and may be beneficial in managing persistent bacterial infections. In the present study, computational studies of 5-(pyridin-4-yl)-1,3,4-thiadiazol-2-amine derivatives for phosphoinositide-3-kinases (PI3Ks) inhibitors were carried out using dock scores, Glide scores, and the MMGBSA dG method, with comparison to standard drugs (ofloxacin and fluconazole). A series of 5-(pyridin-4-yl)-1,3,4-thiadiazol-2-amine derivatives (D1-D17) were synthesized and evaluated for their in vitro antimicrobial activity against both gram-positive and gram-negative bacterial strains, as well as fungal strains, using the tube dilution method. The synthesized compounds were characterized …

Re: Revised Draft Final Butte Priority Soils Operable Unit (Bpsou) Insufficiently Reclaimed Sites: Bres No. 158 (Waste Rock Dump) Remedial Action Work Plan (Rawp), Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Determination Of Mitoxantrone In Environmental Waters: A Spectrophotometric Method With Preconcentration By Salt Saturated Pipette-Tip Micro Solid Phase Extraction Using Molecularly Imprinted Polymer, Sayyed Hossein Hashemi, Massoud Kaykhaii, Ahmad Jamali Keikha, Mina Esmailiun

Turkish Journal of Chemistry

In this research, a fast and simple spectrophotometric method is presented for mitoxantrone determination in various aqueous samples. It utilizes preconcentration by salt saturated pipette-tip micro solid phase extraction with a selective molecularly imprinted polymer adsorbent packed in a micropipette tip. Prior to sample loading, they were saturated with a mixture of NaCl, Mg (NO3)2.6H2O and KNO3 salts, enhancing extraction efficiency by 27.5% compared to salt-free conditions. Key microextraction parameters (amount of molecularly imprinted polymer, sample pH, eluent type/volume, and adsorption/desorption cycles) were optimized using response surface methodology and one-variable-at-a-time methods. The method achieves a low detection limit (0.2 μg …

Removal Of Heavy Metal Iron(Ii) Ions From Wastewater Using An Ultrasonic System With Climbazole-Alcohol, Melek Gökmen Karakaya, Bahdi̇şen Gezer, Abdullah Menzek, Özlem Gündoğdu Aytaç

Turkish Journal of Chemistry

Climbazole (CBZ) is an antifungal active pharmaceutical ingredient often used in antidandruff products. In this study, the ketone group in the racemic CBZ molecule was reduced to synthesize CBZ-alcohol, named 1-(4-chlorophenoxy)-1-(1H-imidazol-1-yl)-3,3-dimethylbutan-2-ol, and the optimum adsorption conditions were investigated for removing iron(II) (Fe2+) ions from wastewater by adsorption from aqueous solutions using the economical and environmentally friendly ultrasonic method. The parameters and levels used in the study were designed using response surface methodology and model equations were derived to optimize the results. The independent variables selected were the initial pH (1, 3, and 5), adsorption time (30, 45, and 60 min), …

Removal Of Ddt, Ddd, And Dde From Washing Extracts Of Contaminated Soil Using Polyaniline/Bagasse Composite Material, Hop Quang Nguyen, Bach Xuan Nguyen, Thien Quang Tran, Anh Van Nguyen

Turkish Journal of Chemistry

Polyaniline (PANi) was hybridized with a bagasse (BG) substrate to treat Dichlorodiphenyltrichloroethane (DDT), dichlorodiphenyldichloroethylene (DDE), and dichlorodiphenyldichloroethane compounds, which are persistent organic pollutants (POPs) causing environmental contamination. The PANi/bagasse (PA/BG) composite was synthesized using ammonium persulfate and sulfuric acid, achieving efficiencies ranging from 82.63% to 86.92% with different ratios of PANi monomer to BG. Infrared spectroscopy (IR) and scanning electron microscopy (SEM) were used to characterize the synthesized materials. The adsorption capacities of DDT, DDD, and DDE compounds were investigated under various conditions, including adsorbent type, adsorption time, adsorbent dosage, and adsorbate concentration. Both Langmuir and Freundlich isotherm models were …

Dispersive Micro Solid Phase Extraction Of Cadmium On Mil-53(Al)@Batio3 Nanocomposite From Seafood Samples, Mustafa Soylak, Eda Bora, Furkan Uzcan

Turkish Journal of Chemistry

This study’s main goal was to produce a user-friendly dispersive micro solid phase extraction (dmSPE) technique with a MIL-53(Al)@BaTiO3 nanocomposite for the extraction and preconcentration of cadmium (Cd) in various seafood matrices, followed by using high-resolution continuum source flame atomic absorption spectrometry (HR-CS-FAAS). The MIL-53(Al)@BaTiO3 nanocomposite was synthesized and characterized using a range of techniques, including Fourier-transform infrared spectroscopy, field emission scanning electron microscopy, scanning transmission electron microscopy, X-ray diffraction, and Brunauer-Emmett-Teller analysis. The dmSPE technique involved the dispersion of the MIL-53(Al)@BaTiO3 material in the sample solution, followed by its separation from the sample matrix. The optimized method exhibited a …

Physical And Chemical Characterization Of Recycled Glass Sand For Environmental Restoration, Shehbaz Ahmad, Julie P. Vanegas, Nicholas Borne, Natalia Butler, Toby Mendels, Leah A. Michaeloff, Diego Molina, Mary Salvaggio, Samantha Tamayo, Franziska Trautmann

Physics & Astronomy Faculty Publications

Introduction

We rely on coastal resources for food, water, and energy. However, over 75% of U.S. coastlines are eroding. Concurrently, the U.S. recycles less glass than other developed countries, landfilling hundreds of millions of tons every year. Recycled glass sand has many potential benefits over natural sand for combatting land loss; for example, it can be produced with controlled particle size to better resist erosion, making it an excellent—and underutilized—material for environmental restoration.

Objectives

This research compares the physical and chemical properties of recycled glass sand to natural sands (beach and dredge) from the U.S. Gulf Coast to assess environmental …

Classification Of Human Trust In Ai Using Brain Activity Data, Danushka Bandara, Ruhuan Liao, Fatima Chowdhury, Leslie Abbott

Northeast Journal of Complex Systems (NEJCS)

Trust plays a crucial role in human-computer interaction, particularly in scenarios involving artificial intelligence (AI) systems. This study explores the feasibility of using functional near-infrared spectroscopy (fNIRS) data to classify trust levels in human-AI interaction scenarios. A total of 18 participants completed an image classification task with an AI team member while their hemodynamic responses were recorded using fNIRS. Preprocessing of fNIRS data involved motion artifact removal, filtering, and normalization. Exploratory analysis identified significant associations between hemodynamic responses in the prefrontal cortex and trust levels. An across-subject binary trust classification model was developed using machine learning techniques, achieving an F1 …

Comparing Methods For Glomerular Filtration Rate Estimation, Xiaoqian Zhu, Tariq Shafi, Keith Norris, Jeannette Simino, Srishti Shrestha, Thomas H. Mosley, Michael E. Griswold, Seth T. Lirette

Data Science Publications

Background: The glomerular filtration rate (GFR), estimated from serum creatinine (SCr), is widely used in clinical practice for kidney function assessment, but SCr-based equations are limited by non-GFR determinants and may introduce inaccuracies across racial groups. Few studies have evaluated whether advanced modeling techniques enhance their performance. Methods: Using multivariable fractional polynomials (MFP), generalized additive models (GAM), random forests (RF), and gradient boosted machines (GBM), we developed four SCr-based GFR-estimating equations in a pooled data set from four cohorts (n = 4665). Their performance was compared to that of the refitted linear regression-based 2021 CKD-EPI SCr equation using bias (median …

The Only Constant Is Change: The Role Of Genetic Diversification In Cancer And Beyond, Malgorzata Tyczynska Weh

USF Tampa Graduate Theses and Dissertations

Genetic diversification, the process by which genetic variation arises in a population, is fundamental to evolution by natural selection. Mutation, a central diversification process, fuels adaptation across species, including in cancer. Yet most new mutations are neutral or deleterious on cell fitness, raising the question of how mutation-driven adaptation persists. To explore this paradox, I developed a spatial agent-based model (ABM) in which population fitness emerges from individual cells acquiring mutations at varied rates and with diverse fitness effects. I evaluated model behavior across adaptive states, mutation rates, and distributions of fitness effects. The results show that high mutation rates …

Hypertensive Disorders Of Pregnancy And Perinatal Outcomes: Two Prospective Cohort Studies Of Nulliparous Women In India And Tanzania, Andrea B. Pembe, Pratibha Dwarkanath, Amani Kikula, John Michael Raj, Nandita Perumal Phd, Heavenlight A. Paulo, Rajalakshmi M, Christopher P. Duggan, Honorati M. Masanja, Nandini Chopra, Mary M. Sando, Tinku Thomas, Cara A. Yelverton, Alfa Muhihi, Anura V. Kurpad, Wafaie E. Fawzi, Blair J. Wylie, Christopher R. Sudfeld

Faculty Publications

Introduction Hypertensive disorders of pregnancy (HDP) have been linked with increased risk for maternal and offspring complications in high-income settings. However, in resource-limited settings, studies with robust measurement of HDP, including severity and timing, and perinatal outcomes are limited.

Methods We analysed data from two prospective cohorts of nulliparous women in India (n=10 570 pregnancies) and Tanzania (n=10 299 pregnancies) who were enrolled in calcium supplementation trials and had blood pressure and proteinuria assessments throughout pregnancy and at the time of labour and delivery. Generalised estimating equations were used to assess the relationship between HDP severity categories (gestational hypertension, preeclampsia …

Multiscale Modeling Of Drug-Induced Liver Injury From Organ To Lobule, Alon Malka-Markovitz, Stelian Camara Dit Pinto, Mohammed Cherkaoui, Steven M Levine, Sharmila Anandasabapathy, Gagan K Sood, Sadhna Dhingra, Gao Yujia, John M Vierling, Nicolas R Gallo

Center for Medical Ethics and Health Policy Staff Publications

Drug-induced liver injury poses significant challenges in drug development and in clinical care. This study builds on prior work developing a Human Liver Virtual Twin by creating a Multiscale Computational Fluid Dynamics framework that integrates patient-specific anatomical data to predict acetaminophen-induced liver injury as a demonstration of its capability. The model bridges vascular, lobular, and cellular scales to simulate dynamic blood flow, drug transport, and injury mechanisms that accurately reflect clinically observed spatial heterogeneity. Results demonstrate accurate blood flow dynamics, predictions of hepatocellular damage, and a scalable framework for studying spatial heterogeneity applicable to other hepatic pathologies. This work establishes …

Predictive Modeling Of Colorectal Cancer Risk: Leveraging Health, Demographic, And Socioeconomic Factors For Targeted Screening, Anish Bhandari, Shawn Deng, Michael Olheiser, Robert Slater

SMU Data Science Review

Colorectal cancer (CRC) remains a significant public health concern, affecting millions in the United States and worldwide. This study investigates the risk factors associated with CRC using data from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial and aims to develop predictive models to identify high-risk individuals for targeted screening and increased awareness. The dataset integrates CRC incidence data from the National Cancer Institute with socioeconomic indicators from U.S. Census Bureau, linked by zip code. We employ Logistic Regression and Neural Network models to predict CRC risk, incorporating health, demographic, and socio-economic features. While the results suggest that …

Context-Switch Attacks: Understanding And Mitigating The Threat To Llm Applications, Sydney Holder, Bivin Sadler

SMU Data Science Review

Large Language Models (LLMs) are transforming conversational AI, yet their dependence on prompt-supplied context exposes them to context-switch attacks that covertly steer dialogue toward sensitive or malicious ends. A 70 one-sided conversation transcript evaluation set was constructed spanning various fraudulent scenarios. Each transcript embeds adversarial patterns drawn while preserving natural conversational flow. We introduce a hybrid defense that pairs a BERT-based semantic-drift detector (cosine-similarity threshold = 0.70) with a curated keyword and hack-phrase scanner to counter these threats. In aggregate, the system delivered 100 % recall, intercepting every simulated phishing or data-harvesting attempt. The keyword layer achieved perfect precision, generating …

The Prevalence And Impact Of Discourse In Social Media Networks: The 2024 Presidential Election, Kyle Kuberski, Xavier R. Mojica, Gwonchan J. Yoon, Brad Klein, Bivin P. Sadler

SMU Data Science Review

Abstract. Social Media platforms serve as central hubs for global discourse, where political dialogue is widely shared and echoed. This exchange shapes civic participation and influences electoral outcomes, often with both intended and unintended consequences. In its inception, social media platforms served as message boards for the masses, yet manipulation and exploiting of systems via bot usage has made platforms susceptible to outside forces. Thus, false narratives and an artificial sense of consensus are endemically augmented. As for the 2016 and 2020 U.S. presidential elections, it is important to investigate the prevalence of evolved bot activity in both political and …

The Enigmatic Samuel Aughey: Nebraska’S Pastor Naturalist, Hugh H. Genoways, Margaret R. Bolick, Mary Anne Andrei

Zea E-Books Collection

Samuel Aughey at age 39 became the first Professor of Natural Science at the new University of Nebraska in Lincoln, serving from 1871 to 1883. He was an ordained pastor of the Evangelical Lutheran Church, with an addendum degree from Pennsylvania College (now Gettysburg College) in 1856 and an A.M. degree two years later. His early pastoral work was in Pennsylvania, but in 1864 he became a home missionary to a church in Dakota City, Nebraska. Aughey’s career at the university was marked with successes and honors, but also criticism and questions about his basic knowledge of the sciences. While …

Why Real Impact Stories Of Forest-Dependent Communities Are Essential In Carbon Marketing, Andrew Mwape

School of Natural Resources: Faculty Publications

As the global carbon market matures, the pressure on companies and project developers to prove the integrity and social value of their carbon offset initiatives has never been greater. At the heart of this growing scrutiny lies a key opportunity: to move beyond metrics and tell authentic, human-centered stories that reflect the real impact of carbon projects; especially those rooted in forest landscapes.

A Comprehensive Systematic Review Of Machine Learning Applications In Assessing Land Use/Cover Dynamics And Their Impact On Land Surface Temperatures, Rasool Vahid, Mohamed Aly

Environmental Dynamics Faculty Publications and Presentations

In a world experiencing rapid urbanization, the phenomenon of land surface temperature (LST) variation has invited substantial attention due to its profound impact on the environment and human well-being. Changes in land use and land cover (LULC) within urban areas significantly influence the dynamics of LST and are a major driver of urban eco-environmental change. The complex connections between LULC dynamics, LST, and climate change are investigated in this systematic review, with a focus on the combined effects of these variables and the use of Machine Learning (ML) techniques. The data in this study, based on peer-reviewed publications from the …

Applying Ceragenins In Translational Medicine: Activating Mesenchymal Stem Cells And Preventing Healthcare-Associated Infections, Aaron L. Zaugg

Theses and Dissertations

Healthcare-associated infections are a major global concern. Increased infections among vulnerable populations lead to millions of deaths, annually, complicated by the emergence of multi-drug resistant pathogens. These infections are often facilitated by medical devices serving as abiotic surfaces that facilitate the formation of biofilms. Notably, colonization of prostheses and other bone-associated medical devices can lead to corrective procedures, revisions and death. To address these issues, inspiration can be drawn from natural sources of bone health and defenses against infection. Cathelicidins are endogenous peptides involved in both bone maintenance and infection control. Ceragenins are small molecule mimics of cathelicidins with broad …

Construction Method Of Digital Twin System For High-Low Temperature Test Chamber, Qinghua Chen, Zuoyou Liang, Weijuan Guan, Jiadong Ji, Ping Liu

Journal of System Simulation

Abstract: In view of the construction requirements of the digital twin system of the high-low temperature test chamber, the EMQX server with MQTT as the communication protocol is used for data transmission. Driven by real-time data, real-time dynamic interactive mapping between the physical entity and the virtual model is realized. The neural network model and genetic algorithm are used to evaluate and predict the running state of the equipment and provide the system adjustment strategy, so as to realize the whole climate, life and working condition of the staff to understand the running state of the equipment, and effectively ensure …

Expanding Access To Cybergis-Compute Through Support For Heterogeneous Workflows, Alexander C. Michels, Ian Zhang, Anand Padmanabhan, John Speaks, Rebecca Vandewalle, Shaowen Wang

I-GUIDE Forum

CyberGIS-Compute is a geospatial middleware tool designed to lower technical barriers to High-Performance Computing (HPC) resources. It provides end-users with a Graphical User Interface (GUI) for submitting models to HPC and allows model developers to contribute their workflows by adding a manifest to their repositories. However, the simplification of the user interface and streamlining of model contribution have unintentionally limited the scope of models that could be run on CyberGIS-Compute. In this paper, we discuss recent developments to the CyberGIS-Compute project that are aimed at supporting a wider variety of workflows including performance enhancements, supporting additional configuration options for jobs, …

2d Cuo/Rgo Nanocomposite: A Novel Architecture For Enhanced Cr(Vi) Photo-Reduction, Islam Gomaa, Nasser M. Hosny, Medhat A. Ibrahim

Nanotechnology Research Centre

he urgent need for efficient detoxification of carcinogenic hexavalent chromium (Cr(VI)) in aquatic environments has driven the development of advanced photocatalytic materials. This study presents the synthesis of 2D CuO/reduced graphene oxide (rGO) nanocomposite via probe sonication, designed to synergistically enhance the photocatalytic reduction of Cr(VI) to less toxic Cr(III). The nanocomposite was meticulously characterized using XRD, HRTEM, FESEM, XPS, and UV-Vis diffuse reflectance spectroscopy. Structural analysis confirmed the formation of CuO nanosheets (average size: 396 nm, thickness: 6 nm) integrated with rGO, where the rGO acted as an electron acceptor, mitigating charge recombination. XPS revealed Cu²⁺ in CuO and …

Hydrochemical Assessment And Geospatial Analysis Of Borehole Water Quality In Effurun, Delta State, Nigeria, Ojo Odunayo Tope, Ike Joy Chiaka, Austin Emeka Okoli, Namdie Joseph Inyang

Al-Bahir

Borehole water is a primary drinking water source in Effurun, Delta State, Nigeria, making its quality a critical public health concern. Contaminants such as major ions and trace metals can affect water safety, necessitating comprehensive assessment. This study evaluates the hydrochemical characteristics of borehole water, identifies contamination sources, and assesses compliance with World Health Organization (WHO) and Nigerian Standard for Drinking Water Quality (NSDWQ) guidelines. The study aims to determine the spatial distribution of major ions and trace metals in borehole water, assess water quality variations, and identify contamination patterns due to natural and anthropogenic influences. Water samples were collected …

The Cellular Mechanisms Of Alzheimer's Disease Protection By The Pilra G78r Variant, Wenhan Cheng

Theses and Dissertations

Microglial dysfunction is increasingly linked to Alzheimer’s Disease (AD). Immune receptors like TREM2 and CD33 play opposing roles in microglial activity. TREM2 activation triggers immunoreceptor tyrosine-based activation motif (ITAM) signaling to promote microglial activities, including amyloid-β clearance, but variants in TREM2 such as R47H that impair its function increase AD risk. In contrast, CD33 is an inhibitory receptor that contains an immunoreceptor tyrosine-based inhibitory motif (ITIM) which transmits signals that suppress microglial function. An AD-protective variant in CD33 alters CD33 activity, potentially enhancing TREM2 function. PILRA is another inhibitory immune receptor expressed by microglia that contains an ITIM. A naturally …

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Revised Draft Final Unreclaimed Sites (Ur-05) Remedial Action Work Plan (Rawp) (Dated June 10, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.