Digital Commons Network^™

“Not Today”: Overcoming Prep Hesitancy, Stigma, And Adherence Barriers With Lenacapavir, Margaret Conrad, Meredith Clement

School of Medicine Faculty Publications

No abstract provided.

Executive Committee - Agenda, 09/23/2025, Academic Senate

Academic Senate Agendas

No abstract provided.

Occupational Health Equity: A Call To Consider Social-Structural Factors In Injury Prevention Research, Shannon Guillot-Wright, Elizabeth S Mcclure, Marizen R Ramirez, Alexis Grimes Trotter, David B Richardson

Faculty, Staff and Student Publications

Occupational health equity scholarship has been growing over the past decade, including social-structural determinants of health research that centres the voices and experiences of historically marginalised communities. In our commentary, we focus on the intersection of work-related and non-work-related factors and how they impact the health of workers, their families and their communities through community-engaged research. Case studies include the implementation of mobile clinics that are developed alongside communities, community organising to examine and reduce health disparities among racially segregated workers, the development of research instruments and measures to study racism and discrimination, and a focus on how the distribution …

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 …

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.

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 …

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 …

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 …

The Effect Of Moringa Oleifera Leaves Powder Increasing The Productive Characteristics Of Common Carp (Cyprinus Carpio L.) Exposed To Chlorpyrifos, Hamid Hilal Farhan, Abid Ali Thaker, Hazem Sabri Abedalhammed

Baghdad Science Journal

Pesticides are a major global problem because of their effects on living organisms and their bodily functions. This study was conducted from August 25, 2022, to October 25, 2022. It aimed to know the toxic effects of Chlorpyrifos on common carp (Cyprinus carpio L.), and the potential of Moringa oleifera leaves to reduce this toxicity by evaluating their effect on growth performance in fish exposed to the pesticide. The LC50 for Chlorpyrifos has been estimated at 0.60 mg/L over 96 hours. Use 1/10 of the LC50 in the pesticide toxicity test treatment; Moringa leaf powder (MOL) was also added …

Sources, Distribution And Ecological Risk Assessment Of Polycyclic Aromatic Hydrocarbon In Sediment Of Tigris River, Iraq, Shahad R. Zaki, Maysoon Hassan Meshjel, Abdul Hameed M.J. Al-Obaidy

Baghdad Science Journal

Sediment samples were collected from five sites at Tigris River from Baghdad to Wasit Governorates River from December 2021 to November 2022. Sixteen polycyclic aromatic hydrocarbons (PAHs) in these sediment samples were analyzed. The results show that the total PAH concentrations ranged from 957.37 to 1805.05 μg/kg dry weight (dw) with mean values of 1368.034 μg/kg. Furthermore, the high molecular weight compounds (four, five, and six rings) of PAH in the analyzed sediment samples suggest that combustion sources such as fuel, gasoline, and vehicle emissions are the primary sources of PAHs in the environment. The sediment quality guidelines …

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 …

Evaluating Climate Sensitivity To Atmospheric Co2 In Basra, Baghdad And Mosul: Iraq, Dalia A. Mahmood, Luma M. Al-Saadi, Monim H. Al-Jiboori

Baghdad Science Journal

Iraq has been suffering from a rising surface air temperature (SAT), causing a general deterioration in ecosystems. Climate sensitivity (CS) which refers to the increase in average SAT caused by a duplication of Carbon Dioxide Concentration [CO₂], was estimated by transient local climate response (TLCR) and equilibrium local CS (ELCS). The time series of the spatial annual averages for both [CO₂] and air temperature were analyzed and a linear regression model was also used to find annual trends in SAT and [CO₂]. Based on historical yearly data for CO₂ concentrations (2003–2016), CO_{2 …}

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 …

Forecasting And Predictive Model Building For Heart Failure Data Using Machine Learning Techniques, K Sukanya, Khadar Babu Sk

Baghdad Science Journal

Heart failure is a critical medical condition with significant global morbidity and mortality rates. Early prediction of Heart Failure risk is paramount for timely intervention and improving patient outcomes. Leveraging the power of machine learning, this study conducts an in-depth examination of Heart Failure prediction using a comprehensive dataset. The dataset encompasses clinical, demographic and laboratory data of Heart Failure patients. A variety of machine learning techniques like logistic regression, decision tree and random forest are harnessed to construct predictive models for Heart Failure. The analysis integrates essential data preprocessing techniques like missing value imputation, feature scaling and feature selection …

Re: Butte Priority Soils Operable Unit (Bpsou) Final Insufficiently Reclaimed Sites Field Sampling And Investigation Plan (Fsp): Bres No. 100 – Capri Motel – Arctic Dump, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Heuristic Weight Initialization For Transfer Learning In Classification Problems, Musulmon Lolaev, Anand Paul, Jeonghong Kim

School of Public Health Faculty Publications

Transfer learning is the predominant method for adapting pre-trained models on another task to new domains while preserving their internal architectures and augmenting them with requisite layers in Deep Neural Network models. Training intricate pre-trained models on a sizable dataset requires significant resources to fine-tune hyperparameters carefully. Most existing initialization methods mainly focus on gradient flow-related problems, such as gradient vanishing or exploding, or other existing approaches that require extra models that do not consider our setting, which is more practical. To address these problems, we suggest employing gradient-free heuristic methods to initialize the weights of the final new-added fully …

Complete Genome Sequence Of Rothia Mucilaginosa D1, A Genetically Amenable Strain, Hemendra P. Dhaked, Isabella Andonie, Bo Yang, Vinayka M. Joshi, Zezhang T. Wen

School of Dentistry Faculty Publications

Here, we report the complete genome sequence of Rothia mucilaginosa D1. Unlike many other strains that have been sequenced, R. mucilaginosa D1, a clinical isolate, is genetically amenable. The complete sequencing of the genome provides potential for further studies on the genetics and pathophysiology of this emerging pathobiont.

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 …

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 …

Sars-Cov-2 Nsp13 Interacts With Tead To Suppress Hippo-Yap Signaling, Fansen Meng, Jong Hwan Kim, Chang-Ru Tsai, Jeffrey D Steimle, Jun Wang, Yufeng Shi, Rich G Li, Bing Xie, Vaibhav Deshmukh, Shijie Liu, Xiao Li, James F Martin

Faculty, Staff and Students Publications

The Hippo pathway controls organ development, homeostasis, and regeneration primarily by modulating YAP/TEAD-mediated gene expression. Although emerging studies report Hippo-YAP dysfunction after viral infection, it is largely unknown in the context of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Here, we analyzed RNA sequencing data from human-induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) and SARS-CoV-2-infected human lung samples, and observed a decrease in YAP target gene expression. In screening SARS-CoV-2 nonstructural proteins, we found that nonstructural protein 13 (NSP13), a conserved coronavirus helicase, inhibits YAP transcriptional activity independent of the upstream Hippo kinases LATS1/2. Consistently, introducing NSP13 into mouse cardiomyocytes suppresses …

Atrial Fibroblast-Derived Macrophage Migration Inhibitory Factor Promotes Atrial Macrophage Accumulation In Postoperative Atrial Fibrillation, Joshua A Keefe, Jose Alberto Navarro-Garcia, Shuai Zhao, Mihail G Chelu, Xander Ht Wehrens

Faculty, Staff and Students Publications

New study: Blocking MIF protein prevents irregular heartbeats after surgery by reducing harmful immune cell buildup in the atria.

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

Faculty, Staff and Students Publications

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 …

Deciphering The Mycn-Driven Metabolic Microenvironment Of Neuroblastoma, Amber Wolf, Davide Leardini, Lingzhi Li, Riccardo Masetti, Costas A Lyssiotis, Eveline Barbieri

Faculty, Staff and Students Publications

Oncogenic MYCN drives aggressive disease in many cancers including neuroblastoma (NB). Metabolic reprogramming is essential to support cancer cell homeostasis and survival under nutrient- and oxygen-deprived conditions. MYCN directly reprograms many nodes of tumor-intrinsic metabolism, which have significant repercussions on the cells of the tumor microenvironment (TME), resulting in complex intercellular metabolic circuits that contribute to the immunosuppressive microenvironment of NB. These metabolic circuits are also regulated by the organismal and cellular circadian clock and host diet to further impact the TME and NB oncogenesis. This review discusses the mechanisms by which MYCN regulates the metabolic crosstalk between tumor, TME, …

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

Silver Bow Creek/Butte Area Superfund Site

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 …

Low Unintended Dural Puncture Rate Using A Flush-Measure-Check-Advance Technique To Perform Combined Spinal-Epidural Anesthesia In Parturients: A Quality Improvement Clinical Series, James Riopelle, Julie Gayle, Zubaer Anwar, Jeff Burton

School of Medicine Faculty Publications

Background: Reported rates of unintended dural puncture during performance of continuous epidural anesthesia (CEA) or combined spinal-epidural anesthesia (CSEA) have remained steady at approximately 0.5% to 1% since the 1970s. Methods: A modified method of inserting the Tuohy epidural catheterization needle was used during performance of CSEA in 393 parturients. A single staff/faculty anesthesiologist performed or supervised resident use of a flush-measure-check-advance Tuohy needle insertion algorithm. Results: The rate of evident Tuohy needle dural puncture during the series was 0%. One parturient experienced a post-dural puncture headache possibly because of intentional subarachnoid puncture with a very small diameter (25 gauge) …

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, …

Nurses Do It, Why Can't We? Social Media Use In The Prelicensure Clinical Setting, Christine Ann Sloan, Jane A. Tiedt, Joan M. Owens

International Nursing Research Congress (INRC)

Background: Nomophobia is defined as the fear of being detached from mobile phone use. The use of smart phones during clinical education is highly regulated by healthcare facilities and nursing schools alike. A meta-analysis of smart phone use among nursing students indicates the prevalence of nomophobia at 22% in a sample of 2780 nursing students (Osorio-Molina et.al, 2021). Nursing student use of cell phones in the clinical setting is associated with increased levels of procrastination, hypervigilance and “buck-passing” which can affect both their clinical and academic performance (Marquez-Hernandez et al, 2020).

In the fall of 2022, nursing faculty received an …