Digital Commons Network^™

Draft Final Butte Mine Waste Repository Geotechnical Investigation Work Plan, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Understanding Cancer Survivorship Care Needs Using Amazon Reviews: Content Analysis, Algorithm Development, And Validation Study, Liwei Wang, Qiuhao Lu, Rui Li, Taylor B. Harrison, Heling Jia, Ming Huang, Heidi Dowst, Rui Zhang, Hoda Badr, Jungwei W. Fan, Hongfang Liu

Department of Medical Oncology Faculty Papers

BACKGROUND: Complementary therapies are being increasingly used by cancer survivors. As a channel for customers to share their feelings, outcomes, and perceived knowledge about the products purchased from e-commerce platforms, Amazon consumer reviews are a valuable real-world data source for understanding cancer survivorship care needs.

OBJECTIVE: In this study, we aimed to highlight the potential of using Amazon consumer reviews as a novel source for identifying cancer survivorship care needs, particularly related to symptom self-management. Specifically, we present a publicly available, manually annotated corpus derived from Amazon reviews of health-related products and develop baseline natural language processing models using deep …

Thermal Performance Variations Of Office Spaces In Educational Buildings Resulting From Façade Orientation: An Egyptian Case Stud, Hesham Safwat, Ahmad Elshamy, Rania Rushdy Moussa, Iman El-Mahallawi El-Mahallawi, Engy Elshazly, Mahmoud Mahmoudalghrieb

Mechanical Engineering

This paper investigates the thermal performance of an office floor within the Faculty of Engineering at the British University in Egypt (BUE), located in Cairo, a city characterized by a hot arid climate. The study focuses on understanding the building’s thermal behavior by comparing two identical office rooms: Room 212 (north-facing) and Room 201 (south facing). Utilizing dynamic thermal simulations with TRNSYS 18 for a full year, the research specifically analyzes the impact of these opposite orientations on indoor space temperature, total cooling loads, the monthly heat absorbed by various building surfaces, and the heat absorbed per unit area for …

Rust '72 Champions Liberal Arts As Essential For Business Leaders, Chris Francis

News and Events (Discontinued Series)

No abstract provided.

Minutes, Faculty Research And Development Committee Meeting, Tuesday, September 23, 2025, Faculty Research And Development Committee

Faculty Research and Development Committee Minutes

No abstract provided.

Nrf2 Drives Activation-Driven Expansion Of Cd4+T Cells By Modulating Glucose And Glutamine Metabolism, Aprajita Tripathi, Debolina Dasgupta, Michael S. Dahabieh, Rachel Griffard-Smith, Anil Pant, Ashlyn Bugbee, Nanda Kumar Yellapu, Emily Burt, Ben H Y Choi, Abigail E. Ellis, Ryan D. Sheldon, Shailendra Giri, Devin Koestler, Russell G. Jones, Viveka Nand Yadav, Kalyani Pyaram

Manuscripts, Articles, Book Chapters and Other Papers

Upon antigenic stimulation, CD4+T cells undergo clonal expansion elevating their bioenergetic demands and utilization of nutrients like glucose and glutamine. The nuclear factor erythroid-2-related factor 2 (Nrf2) is a well-known regulator of oxidative stress, but its involvement in modulating the metabolism of CD4+T cells remains unexplored. We report that Nrf2 protein levels are temporally regulated in activated CD4+T cells, with elevated expression during early activation followed by a decline. T cell-specific constitutive activation of Nrf2, by deletion of its negative regulator Keap1, enhances early activation and interleukin-2 (IL-2) expression, upregulates T cell receptor (TCR) signaling, and increases activation-driven expansion of …

A Community-Engaged Approach To Enhancing Participation In Genomic Research In Rare And Understudied Cancer Populations, Saira Khan, Bailey Martin-Giacalone, Kayla Wallace, Briana Wilson, Christine Marx, Erin Linnenbringer, Jessica Mozersky, Melinda Bachini, Nancy Chollet, Dionne Stalling, Li Ding, Ryan C Fields, Graham A Colditz, Bettina F Drake

2020-Current year OA Pubs

UNLABELLED: Few studies provide insights on how to incorporate community members' perspectives of genomic research during the early phases of study development. Engaging with community members early and consistently throughout the research lifecycle could help identify and mitigate barriers to genomic research participation, particularly among groups with rare and understudied cancers.

METHODS: The Washington University Participant Engagement and Cancer Genome Sequencing (WU-PE-CGS) study formed a Participant Engagement Advisory Board (PEAB) consisting of patients, patient advocates, and patient advocacy organizations who represented the three understudied cancer populations: cholangiocarcinoma, early-onset colorectal cancer in Black Americans, and multiple myeloma in Black Americans. PEAB …

Humanization Of Cd47 Enables Development Of Functional Human Neutrophils Via Postirradiation Remodeling Of The Bone Marrow, Esen Sefik, Liang Shan, Et Al.

2020-Current year OA Pubs

Murine and human immune systems differ significantly, particularly within the myeloid lineage. Humanized mice, generated by transplanting human hematopoietic stem, progenitor cells into genetically modified mice, are invaluable to study human immune development and function in vivo. However, a major limitation of current models is suboptimal myelopoiesis, particularly lack of functional human neutrophils, hampering the modeling of human immune responses and chronic diseases. Here, we describe a humanized mouse model, named MaGIC for genes replaced, in the

Gata2 Mutation Is Associated With Immune Dysfunction And Increased Mycobacterium Haemophilum Susceptibility In Immunocompromised Individuals, Ananya Gupta, Shail B. Mehta, Abhimanyu, Bruce A. Rosa, John Martin, Mushtaq Ahmed, Shyamala Thirunavukkarasu, Farheen Fatma, Gaya K. Amarasinghe, Makedonka Mitreva, Thomas C. Bailey, David B. Clifford, Shabaana A. Khader

2020-Current year OA Pubs

Infections with nontuberculous mycobacterium (NTM) are on the rise. Here, we investigated an uncommon NTM infection, by M. haemophilum (Mh, n = 4), from a shared geographic location in the United States. All patients had underlying immunosuppressive conditions or treatments. We identified that all these individuals had a nonsynonymous mutation in GATA2 gene, which was absent in healthy controls (HCs, n = 4) from the same geographic area (Missouri, USA). Whole blood from these individuals had attenuated cytokine responses to Mh stimulation for IL-1β, IL-6, IL-8, MIP-1α and MIP-1β, but not to phytohemagglutinin (PHA) or another NTM, M. abscessus. Impaired …

Groundwater Spatial Variability Within An Atoll Island: Assessing Shallow Aquifer Heterogeneity With Geophysical And Physicochemical Measurements, Nidia Tobon, Gerd Masselink, Tim O'Hare, Richard Bates, Ferdinand K. J. Oberle, Curt D. Storlazzi, Daniel Conley

Faculty of Science and Engineering Datasets

This study examines the spatial variability of shallow groundwater on Dhigelaabadhoo Island using Electromagnetic Induction surveys, groundwater monitoring, and sediment analyses. The research reveals how variations in island morphology—such as differences in elevation, reef flat width, and sediment composition—affect the spatial distribution of groundwater lenses and the overall aquifer dynamics. Dataset description: the dataset consists of five zip files. Each contains raw data for each sensor used in the study and a readme.txt file describing the data.

Adsl Deficiency Is A Secondary Mitochondrial Disease Affecting Organelle Homeostasis And Erk2/Akt Signaling In A Linear Genotype-Phenotype Relation, Matteo Bordi, Beatrice Testa, Claudia Compagnucci, Fiorella Colasuonno, Francesca Cipressa, Elisabetta Betterini, Andrea Mancini, Claudia Carsetti, Illari Salvatori, Caterina Ferraina, Ming Yang, Rossella De Cegli, Eugenio Del Prete, Chiara Veroni, Salvatore Rizza, Sofia Mauri, Elena Ziviani, Marina Macchiaiolo, Davide Vecchio, Filippo Maria Panfili, Teresa Rizza, Gerrit Weber, Rosalba Carrozzo, Alberto Ferri, Silvia Campello, Andrea Ballabio, Christian Frezza, Gianluca Cestra, Marco Tartaglia, Andrea Bartuli, Francesco Cecconi

Duncan NRI Faculty and Staff Publications

Adenylosuccinate lyase deficiency (ADSLd) is a rare autosomal recessive purine metabolism disorder with several clinical manifestations. While toxic substrate accumulation is a known hallmark, no additional molecular mechanisms have been established. Here, we show that ADSLd is associated with mitochondrial dysfunction, including increased fragmentation, impaired respiration, and reduced ATP production. The severity of mitochondrial impairment correlates with ADSLd pathology, especially in mitochondria-dependent tissues. We also identify defects in mitochondrial dynamics and transport linked to ERK2 and AKT suppression. Notably, overexpressing constitutively active ERK2 or supplementing purine intermediates partially rescues the mitochondrial phenotype. These findings suggest an alternative disease mechanism and …

Overcoming Variable Illumination In Photovoltaic Snow Monitoring: A Real-Time Robust Drone-Based Deep Learning Approach, Amna Mazen, Ashraf Saleem, Kamyab Yazdipaz, Ana Dyreson

Michigan Tech Publications

Snow accumulation on photovoltaic (PV) panels can cause significant energy losses in cold climates. While drone-based monitoring offers a scalable solution, real-world challenges like varying illumination can hinder accurate snow detection. We previously developed a YOLO-based drone system for snow coverage detection using a Fixed Thresholding segmentation method to discriminate snow from the solar panel; however, it struggled in challenging lighting conditions. This work addresses those limitations by presenting a reliable drone-based system to accurately estimate the Snow Coverage Percentage (SCP) over PV panels. The system combines a lightweight YOLOv11n-seg deep learning model for panel detection with an adaptive image …

Robust Fault Detection And Classification In Power Systems Via Physics-Informed And Data-Driven Learning, Biswash Basnet, Varsha Sen

Graduate Student Scholarship

Electrical faults in power transmission systems can severely affect grid stability, equipment safety, and operational reliability. Traditional protection schemes, particularly distance relays, depend on apparent impedance computation that changes with error, creating a risk of misclassification. The results from relay overreach, underreach, or complete maloperation due to CT/PT saturation lead to developing problems in high impedance situations. These limitations highlight the need for adaptive, data-driven alternatives. This paper proposes an intelligent fault detection and classification model based on supervised machine learning techniques that overcome these challenges. The system’s robustness was validated under different training sizes and Gaussian noise levels, demonstrating …

Rna/Dna-Binding Protein Tdp43 Regulates Dna Mismatch Repair Genes With Implications For Genome Stability, Vincent E Provasek, Albino Bacolla, Suganya Rangaswamy, Manohar Kodavati, Joy Mitra, Issa O Yusuf, Vikas H Malojirao, Velmarini Vasquez, Gavin W Britz, Guo-Min Li, Zuoshang Xu, Sankar Mitra, Ralph M Garruto, John A Tainer, Muralidhar L Hegde

Faculty, Staff and Student Publications

TDP43 is an RNA/DNA-binding protein increasingly recognized for its role in neurodegenerative conditions, including amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). As characterized by its aberrant nuclear export and cytoplasmic aggregation, TDP43 proteinopathy is a hallmark feature in over 95% of ALS/FTD cases, leading to detrimental cytosolic aggregates and a reduction in nuclear functionality in neurons. Building on our prior work linking TDP43 proteinopathy to the accumulation of DNA double-strand breaks (DSBs) in neurons, the present investigation uncovers a novel regulatory relationship between TDP43 and DNA mismatch repair (MMR) gene expression. Here, we show that TDP43 depletion or overexpression …

Next-Gen Tools In Cancer Neuroscience, Vera Thiel, Debpali Sur, Caroline C Picoli, Tamara Mcerlain, Katalina Couto, David J Simon, Yuan Pan, Karen Olivia Dixon, Rajan P Kulkarni, Sebastien Talbot, Alexander Birbrair

Faculty, Staff and Student Publications

The emerging field of cancer neuroscience is rapidly evolving, driven by novel technologies and tools. These include advances in single-cell and spatial transcriptomics; genetic mouse models paired with automated high-throughput; and innovative optical electrophysiological approaches, optogenetics, chemogenetics, engineered viruses, and new methods for visualizing neuronal activity. Collectively, these technologies are revolutionizing how we investigate, manipulate, and characterize distinct components that contribute to the nervous system-cancer interface. In the present review, we discuss the key technologies that are closing the gap between oncology and neuroscience, highlighting the innovations that are propelling the cancer neuroscience field forward.

1064 Cauldwell Llc V. Montero

All Decisions

In this nonpayment proceeding, the tenant moved to dismiss the petition, arguing the landlord's predicate rent demand was defective for failing to credit earmarked Human Resources Administration (HRA) payments. The Civil Court, Bronx County, granted the tenant's motion, finding the rent demand did not provide an "approximate good faith sum" of rent due. The court held that the 17% overstatement of arrears was not a de minimis error. Consequently, the rent demand, a condition precedent to a nonpayment action, was deemed defective and non-amendable, leading to the dismissal of the proceeding without prejudice. The landlord's cross-motion to amend the petition …

Charles W. Bolen Faculty Recital: Linden Duo; September 23, 2025, Kimberly Mccoul Risinger, Angelo L. Favis

School of Music Programs

This is the seventh program of the 2025-2026 season.

Kemp Recital Hall

September 23, 2025

Tuesday Evening

7:30 p.m.

Linden Duo Recital: Risinger, Flute And Favis, Guitar; September 23, 2025, Kimberly Mccoul Risinger

School of Music Programs

This is the seventh program of the 2025-2026 season.

Kemp Recital Hall

September 23, 2025

Tuesday Evening

7:30 p.m.

Stable Cas9 Expression Regulates Cell Growth By Facilitating Mtorc2 Activation, Le Yu, Yi Jin, Jianfeng Chen, Zhichuan Zhu, Siyuan Su, Emily M Wilkerson, Joanna Gongora, Erica W Cloer, Michael B Major, Pengda Liu

2020-Current year OA Pubs

Clustered regularly interspaced short palindromic repeats (CRISPR), widely used for gene editing, relies on bacterial endonucleases like Cas9 to study gene functions and develop therapies. However, its potential effects on mammalian cellular behavior remain unclear. Here, we systematically profiled effects of stable Cas9 expression on growth of 32 cell lines spanning 9 cancer types and non-cancerous cells, finding growth alterations in a subset. To investigate mechanisms, we established the SpCas9 interactome in DU145 and MDA-MB-231 cells, both showing Cas9-enhanced growth, and identified ribosomal proteins as the top shared interactors. RNA-seq analysis revealed that Cas9 expression in DU145 cells activated PI3K …

Quantum Chemical Calculations On Corrosion Inhibition Efficacy Of Benzodiazepines On Mild Steel In Acid Medium, Maimoonah Khalid Qasim

Baghdad Science Journal

One of the most important factors in preventing mild steel from deteriorating in acidic conditions is corrosion inhibition. This study examined the anti-corrosion properties of two benzodiazepine compounds, namely Dimethyl-[4-(4-phenyl-2,3-dihydro-1H-benzo[b][1,4] diazepin-2-yl] L-[4-(4-methyl-2,3-dihydro-1H-benzo[b][1,4]diazepin-2-yl)-phenyl] and dimethy-amine (DPBD) and toluene (DMBD), employing density functional theory (DFT)-based quantum chemical computations. Determining the corrosion inhibitors’ active locations and contrasting their efficacy were the goals. The probable active sites of DPBD and DMBD as corrosion inhibitors were identified by the DFT calculations. The total corrosion inhibition performance of these two compounds did not significantly differ, according to the data. However, a slightly better performance was observed …

A New Strategy For Solving The Initial Basic Feasible Solution Of The Transportation Problem Using Exponential Distribution And A New Penalty Model, M. Amreen, Venkateswarlu B

Baghdad Science Journal

One of the key concepts in operations research (OR) is the transportation problem (TP). The transportation problem involves distributing products from several sources to different destinations while minimizing shipping expenses. To achieve minimum transportation costs, the transportation problem is examined in two phases. An initial basic feasible solution (IBFS) is the first phase for achieving the lowest price, with the help of IBFS, one can calculate the optimal solution derived as the second phase. The literature review indicates that the authors developed a novel algorithm for the IBFS, incorporating several mathematical tools and some new models yet possessing certain limitations. …

Towards Efficient And Privacy Preserving Ecg Classification: Federated Transfer Learning Enhanced By Ckks-Based Homomorphic Encryption, Anmar A. Al-Janabi, Sufyan Al-Janabi, Belal Al-Khateeb

Baghdad Science Journal

In healthcare, maintaining both the accuracy and privacy of medical diagnoses collaboratively is a significant challenge. To the best of our knowledge, this research proposes the first end-to-end Privacy-Preserving Federated Transfer Learning (PPFTL) framework for 2-D ECG arrhythmia classification. Incorporating Transfer Learning (TL) narrows the gap between the encrypted and non-encrypted framework versions in the training step. It involves the transformation of raw Electrocardiogram (ECG) signals into 2-D ECG grayscale images. The dataset is disseminated after transformation to images and then fed as input into the local models, where MobileNetV2 serves as a feature extractor. The training process for each …

Av-Efficapsnet Based Deep Neural Network Model For Automated Detection Of Hypertensive Retinopathy In Fundus Image, Sowmiya R, Kalpana R

Baghdad Science Journal

Hypertensive Retinopathy (HR), a serious consequence of systemic hypertension, manifests through specific changes in the retinal vasculature observable in fundus images. There might not be any symptoms or complaints at the early stage of systemic hypertension. The complication of the systemic hypertension sets in vital organs of the body including the eyes over time. An automated method for HR detection can help in early detection and enhance diagnosis and management and thus reduce the risk of severe ocular and systemic complications. Subjective evaluation of the retinal images by ophthalmologist is the conventional diagnostic method, which might be inconsistent and time …

Impacts Of Stevia Rebaudiana Leaf Aqueous Extract On Some Physiological Parameters And Fertility In Male Albino Mice, Zainab K. Altmimi

Baghdad Science Journal

The objective of the work is to examine the impacts of Stevia leaf aqueous extract, after chronic administration (60 days), on some physiological aspects and fertility in male albino mice. .twenty-four adult e mice were categorized into four groups, each involving six animals. Three treatment groups were separately exposed to three respective concentrations of the extract (25, 50, and 100 mg/kg), he remainder is a control group. The animals were given daily oral doses of 0.1 ml/ 10 gm body weight of the group-respective extract concentration for 60 consecutive days. Several physiological and fertility-related parameters were tested based on the …

A Numerical Approach To Time-Space Fractional Stochastic Diffusion Equation, Archana Mourya, Kalyanrao Takale, Shrikisan Gaikwad

Baghdad Science Journal

The primary objective of this paper is to propose a Crank-Nicolson scheme tailored to analyze a time-space fractional stochastic diffusion equation subject to additive noise. Using the Caputo definition for time fractional derivatives and the shifted Grunwald-Letnikov definition for space fractional derivatives, a fractional order Crank-Nicolson finite difference scheme is devised to obtain a numerical solution. Considerable attention has been paid to examining the stability and convergence properties of this fractional order Crank-Nicolson method. To validate the effectiveness of the developed method, a comprehensive investigation using a test problem is conducted to assess its accuracy. The study harnesses the power …

Design And Implementation Of Pulse Laser Deposition Device For Plastic Optical Fiber, Ihssan A. Kadhim, Anwaar A Al-Dergazly, Sameer Khudhur Yaseen

Baghdad Science Journal

In this work, a pulse laser deposition device was fabricated to synthesize nano-coated plastic optical fiber for sensing application. a plastic optical fiber of 1000 μm diameter, coated with different materials such as aluminum and titanium oxide. Using a field emission scanning electron microscope (FESEM), the coated samples’ shape, surface properties, and chemical makeup were verified., an energy dispersion X-ray (EDX), UV-vis absorption spectroscopy, atomic force Microscope (AFM). The cross section EDX indicated that, a small amount of uniform distribution of aluminum and titanium on the surface of plastic optical fibers. The FESEM surface morphology of TiO₂ coated …

A Heart Disease Prediction Model Applying Deep Learning And Combined Fuzzy-Mutual Information Based Feature Selection, Annwesha Banerjee Majumder, Somsubhra Gupta, Sourav Majumder, Dharmpal Singh, Sumit Das, Tanusree Saha

Baghdad Science Journal

Despite remarkable advancements in medical technology, cardiovascular disease persists as a significant contributor to global mortality. This research addresses the imperative need for timely disease identification through the proposition of a heart disease prediction model, utilizing a merged 1D Convolutional Neural Network (CNN). The main aim of the research is to mitigate the inherent drawbacks of single-layer designs, with a particular emphasis on enhancing hierarchical feature extraction, broadening the model’s receptive fields, and facilitating more efficient non-linear transformations. The dataset has been collected from UCI data repository. The study methodology includes a new feature selection strategy that combines Mutual Information …

Assessing The Sustainable Circular Fashion Supply Chain As A Model For Achieving Economic Growth In The Global Market, Andrew P. Burnstine, Raouf Ghattas

Faculty and Staff Publications & Presentations

The fashion industry faces a critical sustainability crisis, contributing up to 10% of global carbon emissions and generating 92 million tons of textile waste annually. The study highlights the complex interplay of material flows, business models, power structures, and cultural mindsets, presenting a multi-scaled framework for advancing cleaner production and circularity in one of the world’s most resource-intensive sectors. This study proposes a transformative model for circular bioeconomy in fashion, integrating systems-change theory, degrowth economics, and emotional durability. Through case studies, including Patagonia, Eileen Fisher, and EU policy frameworks, the paper demonstrates how circular strategies can reduce waste, extend product …

Hybrid Path Planner For Centralized Multi-Robotic Long-Vehicle Based On Adaptive Dimensionality And Grey Wolf Algorithm, Noor Kadhim Ayoob, Ali Hadi Hasan

Karbala International Journal of Modern Science

The present robot planning methods pay no attention to the impact of the robot's size and the space it occupies in the environment on path planning. This paper presents a centralized hybrid method to plan optimal paths for multiple robotic long vehicles (RLVs) competing with each other to reach one common goal, taking into account the space that must be available to the RLV at each step to avoid narrow spaces that are too small to pass through. The environment analysis for each RLV is improved by assigning constant weight to the obstacles and calculating two new parameters: safety (SF) …

A Humanistic Approach To Graduate Student Research Consultations, Tyler Manolovitz

Journal of Graduate Librarianship

This paper examines the benefits of a humanistic approach to research consultations with graduate students due to their unique research needs and lived experiences. Graduate students undertake complex, long-term research projects that require sophisticated information literacy skills and specialized support. Beyond these technical needs, graduate students often experience library anxiety and academic pressure stemming from their varied backgrounds, demanding lives, and a wide range of research knowledge and experience. Personalized, one-on-one research consultations offer an ideal platform to address both the technical and emotional needs of graduate students. By infusing research consultations with humanistic principles, including empathy, authenticity, emotional intelligence, …