Digital Commons Network^™

Detecting Physical Activity Using Wearable Sensor Data, Dipok Deb

Data Science and Data Mining

This study focuses on detecting physical activity using wearable sensor data, specifically distinguishing between walking and running. A dataset comprising accelerometer and gyroscope readings is used to train and evaluate various machine learning models, including logistic regression, random forest, k-nearest neighbors, naïve Bayes, and XGBoost. Extensive preprocessing, such as creating lag features and rolling statistics, is performed to enhance temporal data representation. The models are evaluated using metrics like accuracy, precision, recall, and F1 score. Incorporating lag and rolling features significantly improves model performance, with logistic regression achieving perfect scores across all metrics. These findings demonstrate the effectiveness of enhanced …

Proceedings From The Sixth Annual Society For Sports Neuroscience Conference, Neurosports Editorial Staff

Journal for Sports Neuroscience

Proceedings from the Sixth Annual Society for Sports Neuroscience Conference

Leadership For East Africa

Vision and mission statements

No abstract provided.

Graduate School Of Media And Communications - Foundation Ceremony

Inaugural addresses and related documents

No abstract provided.

The Aga Khan School Of Nursing

University press releases and calendars

No abstract provided.

Convergence Research For Microplastic Pollution At The Watershed Scale, Heejun Chang, Elise Granek, Amanda Gannon, Jordyn M. Wolfand, Janice Brahney

Watershed Sciences Faculty Publications

Microplastics are found in Earth's atmosphere, lithosphere, hydrosphere, pedosphere, and ecosphere. While there is a growing interest and need to solve this grand challenge in both the academic and policy realms, few have engaged with academics, policymakers, and community partners to co-identify the problem, co-design research, and co-produce knowledge in tackling this issue. Using a convergence research framework, we investigated the perception of microplastic pollution among different end users, delivered educational materials to K-12 teachers and practitioners, and identified key sampling points for assessing environmental microplastic concentrations in the Columbia River Basin, United States. Three community partner workshops identified regional …

Quality Over Quantity-Current Challenges Of Robotic Surgery In Poland, Marcin Kubiak, Jacek Doniec, S Vincent Grasso, Andrew Gumbs, Amir Nour Mohammadi, Katarzyna Sędłak, Zuzanna Pelc, Stanisław Góźdź, Wojciech Załuska, Artur Bachta, Paweł Rybojad, Kamil Torres, Timothy M Pawlik, Marek Zawadzki, Andrzej Budzyński, Karol Rawicz-Pruszyński

Rowan-Virtua School of Osteopathic Medicine Departmental Research

Since its introduction in 2010, a dynamic growth of robotic-assisted surgery (RAS) has been observed in Poland. The number of healthcare institutions implementing RAS has tripled in the last 36 months, with 80 surgical robots currently utilized on a national scale. While urological procedures dominate RAS utilization (73%), adoption in gynecology (12.2%) and gastrointestinal surgery (8.5%) is rising, driven by recent National Health Fund reimbursement policies. However, significant fragmentation and alarmingly low numbers of individual RAS procedures were identified: 47.7% of surgeons perform less than 40 cases annually. Parallel to expanding the robotic surgery reimbursement program, several standardized actions are …

Analyzing The Trends Of Government Share Of Health Before, During, And After The Covid-19 Pandemic, Sara Parkhurst, Matthew Bitterman, John Drager, Dominic Gentile

Working Papers Series

This paper investigates whether the COVID-19 pandemic functioned as a critical juncture that led to lasting institutional change in government health investment. Using an original comparative framework, the analysis explores changes in health financing across ten OECD countries classified by Reibling et al.'s five-type typology of healthcare systems. We assess shifts in public, private, and government health expenditure before, during, and after the pandemic, using both descriptive and visual data. Our findings suggest that while nearly all countries increased government and public shares of health spending during the pandemic, the persistence of these changes varied by system type, GDP level, …

The Effect Of Ex-Ante Government Responsibility For Health On Public Health Financing In Post Pandemic Budgets, Denis Granados, Rylee Roman, Hallie Sidman

Working Papers Series

This paper investigates how pre-pandemic levels of government responsibility for public health financing influenced post-pandemic health spending across selected OECD countries. Using a combination of descriptive analysis and regression modeling, the study examines changes in public health expenditure per capita between 2019 and 2022, focusing on key variables such as the government’s share of health financing, the Total Pandemic Policy Intensity (PPI) index, and GDP per capita. Findings suggest that while all countries increased health spending post-COVID-19, the scale of change varied significantly based on economic capacity, institutional readiness, and political will. Notably, countries with higher pre-pandemic public health investment …

No. 42: Remittance Practices, Digital Technologies And The Ghana-Canada Migration Corridor, Naomi Sunu, Sujata Ramachandran

Migration and Food Security (MiFOOD) Network

Migrant remittances have been recognized as vital resources for the well-being of recipient households and communities, as well as for sustainable development in the Global South. However, these flows can be impeded by limitations in the infrastructure, financial systems, and regulatory environments of both sending and receiving countries, as exemplified by the high costs associated with remitting to sub-Saharan Africa. Consequently, the use of less secure but more affordable informal remittance channels persists. Driven by the rapid growth of fintech technologies in recent years, including mobile money and web-based platforms, the digitalization of remittance-sending and receiving processes has the potential …

Academic Senate - Agenda, 6/3/2025, Academic Senate

Academic Senate Agendas

No abstract provided.

Ud Researchers To Develop First Pediatric-Specific Ai Lung Nodule Detection System, University Of Dayton

Blog: The Dayton Engineer

Dr. Russell Hardie with the Department of Electrical and Computer Engineering has been awarded an National Institutes of Health (NIH) grant to harness artificial intelligence (AI) to revolutionize the detection of metastatic lung disease in pediatric patients by identifying lung nodules in computed tomography (CT) scans.

How To Boost Your Health Literacy To Advocate For Your Child's Wellbeing, Maggie Mckay, Susana Elizarraraz, Angie Knackstedt

Parent-ish Podcast

Angie Knackstedt, Program Manager of Health Literacy and Nursing Bioethics, and Susana Elizarraraz, mother of a child with complex medical needs, discuss the importance of health literacy, and how you can boost your skills to be an advocate for your child's health and wellbeing.

Click here to stream the podcast episode.

Cross-Modality Learning For Predicting Ihc Biomarkers From H&E-Stained Whole-Slide Images, Amit Das

Computer Science Senior Theses

Hematoxylin and Eosin (H&E) staining is a cornerstone of pathological analysis, offering reliable visualization of cellular morphology and tissue architecture for cancer diagnosis, subtyping, and grading. Immunohistochemistry (IHC) staining, an important ancillary study, provides molecular insights by detecting specific proteins within tissues, enhancing diagnostic accuracy, and improving treatment planning. However, IHC staining is costly, time-consuming, and resource-intensive, requiring specialized expertise. To address these limitations, this study proposes HistoStainAlign, a novel deep learning framework that predicts IHC staining patterns directly from H&E whole-slide images (WSIs) by learning joint representations of morphological and molecular features. The framework integrates paired H&E and IHC …

Unseen Burdens: Exploring Gender Disparities In Infertility Experience And Depressive Symptoms, Khiara Cardoza Brown

Theses and Dissertations

This study examines how experiences with infertility relate to mental health outcomes among newly married U.S. couples, emphasizing gender differences and the potential moderating role of gender attitudes. Using data from 3,137 individuals in a nationally representative sample, three Actor-Partner Interdependence Models were estimated: first assessing actor and partner effects of infertility on depressive symptoms and subsequently incorporating gender attitudes as moderators. Results indicated a significant actor effect for wives, where infertility was associated with higher levels of depressive symptoms, and this association was significantly stronger for wives than for husbands. No significant effects were found for husbands' infertility and …

Investigating The Consequences Of Conjugated And Secreted Isg15 On Coronavirus Pathogenesis, Mudassir Syed Ali

Dissertations

Coronaviruses have evolved a breadth of mechanisms to antagonize host innate immune responses. One widely studied mechanism is the ability to deconjugate ISG15 from target proteins in a process called deISGylation, which is catalyzed by the papain-like protease (PLP) domain of viral non-structural protein (nsp) 3. Since PLP activity is required for viral replication, it has been challenging to generate an infectious virus with a PLP that maintains protease activity but has lost deISGylase activity. In this study, we generated a chimeric MHV-A59 with its PLP2 domain replaced with that of the human coronavirus HKU1, which has been documented to …

Emerging Therapeutic Potential Of Fisetin For Nephrotoxicity, Kidney Injury, And Nephropathy: A Systematic Review, Saeed Mohajeri, Alizamen Salehifard Jouneghani, Saeid Heidari-Soureshjani, Catherine M.T. Sherwin, Faramarz Beigi

Pediatrics Faculty Publications

INTRODUCTION/OBJECTIVE: Kidney diseases cause high morbidity and mortality worldwide. This study investigated the mechanistic effects of Fisetin (FIS) on nephrotoxicity, kidney injury, and nephropathy induced by drugs, toxic chemicals, diabetes, lupus, diet, ureteral obstruction, and ischemic situations.

METHODS: To identify pertinent articles published before Oct 1, 2024, a comprehensive electronic search was performed across several databases, including MEDLINE/PubMed, Embase, Cochrane Library, Web of Science, and Scopus. After establishing clear inclusion and exclusion criteria, studies that met the research objectives were selected. Data were extracted and analyzed, documenting study characteristics, methodologies, and biological mechanisms.

RESULTS: Antioxidant benefits were evident with increased …

Don’T Take St. Anselm For A Marriage Therapist: The Utility Of Substitutionary Atonement Theology In Light Of Feminist Critiques, Abigail Elizabeth Livengood

Honors Projects

In light of feminist critiques from the twentieth and twenty-first century, this paper returns to Anselm’s Cur Deus Homo to examine the earliest expression of the Substitutionary Atonement Model. While acknowledging the harmful rhetoric attached to the model which has been brought to light by feminist theologians, this work examines Anselm's characterization of God, Jesus, and suffering from within his medieval worldview. In addition, this paper utilizes understandings of Christ held by historical women and survivors themselves to provide further context for Anselm’s understanding. Ultimately, this paper asserts that while feminist theologians raise important concerns about the dangers of Substitutionary …

Functional Resilience Of Healthcare In The Critical Juncture Of The Covid-19 Pandemic, Avner Kronisch, Christian Bongiorno, Kerane Smith, John Baker

Working Papers Series

This paper offers a comparative analysis of eight national healthcare systems—spanning democracies, autocracies, and various institutional models—to evaluate resilience during the COVID-19 pandemic. Drawing on Shvetsova et al.’s framework of informational and authority redundancies, and Parker & Klein’s “choke point” theory of healthcare rationing, we examine how institutional structure shaped pandemic response, system adaptability, and continuity of non-COVID services. Using indicators like life expectancy, under-five mortality, hospital capacity, cancer survival, and excess mortality, we explore how systems absorbed shock and maintained essential care. We find that decentralized and polycentric governance structures, when paired with coordination and resource adequacy, enhanced resilience—exemplified …

Covid-19 & Healthcare (Re)Privatization? A Comparative Analysis Of High And Medium Per Capita Gdp Countries, Kristina Donders, Kaitlyn Matthews, Brittany Reyes, Frank. H. Rizzo

Working Papers Series

This paper examines whether the COVID-19 pandemic accelerated healthcare privatization in high- and medium-GDP countries. Drawing on political economy theories of path dependence and privatization, we analyze changes in public and private healthcare expenditures in eight countries: Canada, Chile, Denmark, Georgia, Luxembourg, Norway, the Philippines, and South Korea—comparing data from 2019 and 2022. Using World Bank indicators on healthcare financing, GDP, aging populations, and food insecurity, we find that although healthcare expenditures generally increased during the pandemic, this increase was primarily in public, not private, spending. Case studies of Georgia and South Korea reveal that local economic and demographic pressures, …

Institutional Change In Healthcare As Brought About By The Critical Juncture Of The Covid-19 Pandemic, Olga Shvetsova

Working Papers Series

This introduction to the 2025 capstone symposium lays the conceptual groundwork for a new approach to analyzing institutional change in healthcare systems triggered by the COVID-19 pandemic. Departing from conventional legal-institutional perspectives, it extends the decision space framework developed by Bossert (1998) to capture both formal authority and the de-facto responsibilities exercised by public and non-public actors. By disaggregating health responsibilities across levels of government and sectors—public, private, and hybrid—and operationalizing these as quantifiable indicators over time, the framework allows for real-time and comparative assessment of institutional transformation. The pandemic is treated as a critical juncture that exposed and reconfigured …

Biomarker-Guided Imaging And Ai-Augmented Diagnosis Of Degenerative Joint Disease, Rahul Kumar, Kyle Sporn, Aryan Borole, Akshay Khanna, Chirag Gowda, Phani Paladugu, Alex Ngo, Ram Jagadeesan, Nasif Zaman, Alireza Tavakkoli

Department of Medicine Faculty Papers

Degenerative joint disease remains a leading cause of global disability, with early diagnosis posing a significant clinical challenge due to its gradual onset and symptom overlap with other musculoskeletal disorders. This review focuses on emerging diagnostic strategies by synthesizing evidence specifically from studies that integrate biochemical biomarkers, advanced imaging techniques, and machine learning models relevant to osteoarthritis. We evaluate the diagnostic utility of cartilage degradation markers (e.g., CTX-II, COMP), inflammatory cytokines (e.g., IL-1β, TNF-α), and synovial fluid microRNA profiles, and how they correlate with quantitative imaging readouts from T2-mapping MRI, ultrasound elastography, and dual-energy CT. Furthermore, we highlight recent developments …

A Qualitative Analysis Of A Culturally Adapted Pcit Training For Black And Latine Clinicians: Creating Communities For Providers Of Autistic Youth, Harlee Onovbiona, Felipa Chavez, Lauren Quetsch, Ashley Scudder

Psychology Faculty Publications

Parent-Child Interaction Therapy (PCIT) is a widely known evidenced-based treatment (EBT) that has been used with Latine, Black, and neurodiverse children to improve the parent-child relationship and reduce challenging behaviors. Although considerable efforts have been made to disseminate PCIT to the wider community, fewer strides have been made to reach Black and Latine families in underserved communities—especially for families with neurodiverse children. One method to bridge the service gap for Black and Latine families is to train Black and Latine clinicians who primarily serve Black and Latine communities. Thus, the current pilot utilized a qualitative design and the Ecological Validity …

June 3, 2025 Ereporter, University Of Alabama At Birmingham

eReporter (campus newsletter)

No abstract provided.

Systems And Methods For Providing Active Contraction Properties Of The Myocardium Using Limited Clinical Metrics, Igor Nobrega, Wenbin Mao

USF Patents

A deep learning model can be used for the identification of active contraction properties of the myocardium using limited clinical methods. A method for identifying the active contraction properties can include inputting a plurality of clinical metrics into a deep learning model. The method can further include inputting a representation of a cardiac cycle through a pressure volume-loop into the deep learning model. The deep learning model can include a first process layer with a first intermediate output and a second process layer that receives the first intermediate output as a first intermediate input. The method can further include outputting …

Organizational Factors That Impact Emergency Room Sepsis Bundle Compliance In U.S. Hospitals, Jason Lee Kimbrell

All ETDs from UAB

ORGANIZATIONAL FACTORS THAT IMPACT EMERGENCY ROOM SEPSIS BUNDLE COMPLIANCE IN U.S. HOSPITALS JASON L. KIMBRELL HEALTH SERVICES ADMINISTRATION ABSTRACT This in-depth study examines the organizational factors within U.S. hospital emergency rooms (ERs) that impact care teams’ adherence to established, time-sensitive sepsis protocols. The regression analysis revealed a concerning trend: for each 1% increase in annual patient walk-out rates, compliance with sepsis protocols declines by 2.10%. Additionally, the impact on poor ER throughput where the ESI level 3 length of stay increases by 1 minute, a hospital's compliance with the 3hr POA sepsis bundle decreases by .08%. These findings underscore the …

Shedding Light On Inequities Of Power Outages Through Data Transparency, Kelly A. Stevens, Sanam K. Aksha, Mohammad Siddiqur Rahman, Elizabeth Trader, Herbert Longenecker, Rebecca Entress, Thomas Wahl, Christopher Emrich, Kristopher O. Davis

Faculty Publications

In a changing climate, the electricity grid is increasingly exposed to more extreme weather that results in significant power outages. Further, lower income and racial-ethnic minority households are more likely to experience a higher frequency and duration of power outages compared to less socially vulnerable groups. The literature on the unequal impacts of power outages is a new, growing area of research that has been stymied in part due to the difficulty acquiring high spatial resolution, historical power outage data from utilities. In this Perspectives article, we review the availability of power outage data, and what can be learned from …

Shedding Light On Inequities Of Power Outages Through Data Transparency, Kelly A. Stevens, Sanam K. Aksha, Mohammed Siddiqur Rahman, Elizabeth Trader, Herbert Longenecker, Rebecca Entress

Faculty Publications

In a changing climate, the electricity grid is increasingly exposed to more extreme weather that results in significant power outages. Further, lower income and racial-ethnic minority households are more likely to experience a higher frequency and duration of power outages compared to less socially vulnerable groups. The literature on the unequal impacts of power outages is a new, growing area of research that has been stymied in part due to the difficulty acquiring high spatial resolution, historical power outage data from utilities. In this Perspectives article, we review the availability of power outage data, and what can be learned from …

Tumor Microenvironment Governs The Prognostic Landscape Of Immunotherapy For Head And Neck Squamous Cell Carcinoma: A Computational Model-Guided Analysis, Priyan Bhattacharya, Alban J Linnenbach, Andrew P. South, Ubaldo E. Martinez-Outshoorn, Joseph M. Curry, Jennifer M. Johnson, Larry A. Harshyne, Mỹ G. Mahoney, Adam J. Luginbuhl, Rajanikanth Vadigepalli

Department of Otolaryngology - Head and Neck Surgery Faculty Papers

Immune checkpoint inhibition (ICI) has emerged as a critical treatment strategy for squamous cell carcinoma of the head and neck (HNSCC) that halts the immune escape of the tumor cells. Increasing evidence suggests that the onset, progression, and lack of/no response of HNSCC to ICI are emergent properties arising from the interactions within the tumor microenvironment (TME). Deciphering how the diversity of cellular and molecular interactions leads to distinct HNSCC TME subtypes subsequently governing the ICI response remains largely unexplored. We developed a cellular-molecular model of the HNSCC TME that incorporates multiple cell types, cellular states, and transitions, and molecularly …

Level Of Service Criteria For Urban Arterials With Heterogeneous And Undisciplined Traffic Streams, Afzal Ahmed, Farah Khan, Syed Faraz Abbas Rizvi, Fatma Outay, Muhammad Faiq Ahmed, Muhammad Adnan

All Works

Accurate evaluation of the prevailing traffic operations plays an important part in developing sustainable transport systems. This research examines the suitability of the level of service (LOS) criteria developed by the Indian and United States (US) Highway Capacity Manuals (HCM) for heterogeneous and undisciplined traffic streams and proposes new criteria using a data-driven approach. Traffic data were collected from a selected major arterial in Karachi, and fundamental diagrams were developed using these data. These fundamental diagrams and field-collected data were analyzed using the K-mean clustering approach to examine the actual traffic states at various LOS bands used in practice. Associating …