Digital Commons Network^™

Identifying The Human Olfactory And Chemosignaling Neural Networks Using Event Related Fmri And Graph Theory, Saideh Ferdowsi, Tom Foulsham, Alireza Rahmani, Dimitri Ognibene, Luca Citi, Wen Li

Faculty, Staff and Student Publications

This study aims to characterize and compare the functional neural networks associated with different olfactory stimuli, including air, non-social odours, and human body odours. We introduce a novel processing pipeline based on event-related functional magnetic resonance imaging (fMRI) and graph theory for network identification. To ensure the stability and small worldness of the characterized networks, we conduct statistical validations, network modularity assessments, and robustness measurement against local attacks. The key hypothesis is that human body odours (so-called social odours) and non-social odours engage distinct neural networks, particularly in regions responsible for social processing. We found that the posterior medial orbitofrontal …

Ai Beliefs And Practices In Community College Classrooms, Julie Eng, Heather Umphlett, Jocelyn Gilchrist, Alicia Howell, Mary Ann Howell, Wendy Miller-Edwards, Laurel Pope

Inquiry: The Journal of the Virginia Community Colleges

The country, the Commonwealth of Virginia, and Virginia Community College System initiatives all promote generative AI within education. It is a topic of great concern and interest for higher education instructors, yet at the same time many faculty members feel uncertain about effectively integrating it into class material. To further add pressure to the AI explosion, community colleges particularly face a responsibility to prepare their students for success in this new AI-focused environment. In this article, seven faculty members from Camp Community College discuss the implications of generative AI programs, including subscriptions and chatbots, within their particular courses and how …

04.07.2025 Ored Connect, Liz Williamson

ORED Newsletter

New ORED Website Goes Live

Oxford Pitch Competition

Hughes Miller, Strategic Partnerships

Evaluating Wrist Placement And Signal Processing Techniques For Real-World Hrv Monitoring Using Ppg, Andrew Murphy

College of Computing and Digital Media Dissertations

This thesis investigates trade-offs between signal quality and data coverage in photoplethysmographic (PPG) heart rate variability (HRV) monitoring using wrist-worn devices. The goal was to evaluate whether wrist placement and signal processing techniques can improve measurement reliability in real-world conditions. Data was collected from healthy participants wearing smartwatches on both wrists during rest and a structured math task introducing natural wrist movement. Three distinct processing methodologies were compared, including a proposed Rolling-Standardized Derivative (RSD) approach. Results showed that while HRV signals from both wrists were highly correlated at rest, motion caused a measurable drop in signal quality and inter-wrist agreement, …

Living With Alzheimer’S: A Guide To How To Lower The Risk Of Memory Loss & Care For Those With Alzheimer’S, Mona Muzammil, Washain Muzammil

School of Integrative Biological & Chemical Sciences (Formerly Dept. of Chemistry)

Despite the frequent characterization of Alzheimer's disease as a “loss of self,"" this enlightening book demonstrates unequivocally that a person's unique self persists throughout the course of the disease. The important message in Caring for People with Alzheimer’s is how much can be done in care settings to support a person's sense of identity and thereby enrich the lives of people experiencing the many losses associated with dementia. Drawing from a diverse body of research, this book brings together the recommendations of the best thinkers and practitioners in multiple disciplines to illustrate the meaning of self and the importance of …

Mri-Based Digital Twins To Improve Treatment Response Of Breast Cancer By Optimizing Neoadjuvant Chemotherapy Regimens, Chengyue Wu, Ernesto A B F Lima, Casey E Stowers, Zhan Xu, Clinton Yam, Jong Bum Son, Jingfei Ma, Gaiane M Rauch, Thomas E Yankeelov

Faculty, Staff and Student Publications

We developed a practical framework to construct digital twins for predicting and optimizing triple-negative breast cancer (TNBC) response to neoadjuvant chemotherapy (NAC). This study employed 105 TNBC patients from the ARTEMIS trial (NCT02276443, registered on 10/21/2014) who received Adriamycin/Cytoxan (A/C)-Taxol (T). Digital twins were established by calibrating a biology-based mathematical model to patient-specific MRI data, which accurately predicted pathological complete response (pCR) with an AUC of 0.82. We then used each patient's twin to theoretically optimize outcome by identifying their optimal A/C-T schedule from 128 options. The patient-specifically optimized treatment yielded a significant improvement in pCR rate of 20.95-24.76%. Retrospective …

Enhancing State-Of-The-Art Motor Imagery Classification With Reinforcement Learning, Anton Shepelev

USF Tampa Graduate Theses and Dissertations

One of the key obstacles to the rapid adoption of non-invasive Brain-Computer Interfaces (BCIs) for Motor Imagery (MI) is the low signal-to-noise ratio, and the substantial data requirements which can be mentally taxing for users. EEGNet, a compact Convolutional Neural Network (CNN), has long been considered the state-of-the-art (SOTA) for MI classification, demonstrating strong performance even with limited data. However, recent studies advocate for integrating Deep Reinforcement Learning (RL) to further enhance classification accuracy by dynamically optimizing feature extraction and decision-making processes. Despite this potential, practical implementations remain scarce due to challenges in stabilizing RL training and adapting it to …

Normalized And Directional Interplay Scoring For The Interrogation Of Proteoform Data, Karl F Poncha, Alyssa T Paparella, Nicolas L Young

Faculty, Staff and Students Publications

Histone proteoforms, often presenting multiple co-occurring post-translational modifications (PTMs), are central to chromatin regulation and gene expression. A proteoform is a specific form of a protein that includes variations arising from genetic changes, alternative RNA splicing, proteolytic processing, and PTMs. Genome-indexed histone proteoforms define the histone code, influencing cellular phenotype by dictating DNA interacting partners. Understanding the dynamics of histone proteoforms is essential for elucidating chromatin-based regulatory mechanisms. Advances in middle-down and top-down proteomics enable accurate identification and quantitation of thousands of proteoforms in a single run. However, the resulting data complexity presents significant challenges for analysis and visualization. Here, …

Opioid Vs. Money Choice Preference Patterns In Regular Heroin Users, Amolak S. Jhand, Mark Greenwald

Medical Student Research Symposium

About two-thirds of people treated for opioid use disorder (OUD) return to opioid use within the first-year post-treatment, and about 10% report use while on agonist therapy. Understanding determinants of opioid-seeking is vital to reducing recurrence and its risks. We assessed individual differences in effortful choices between opioid and money amounts, modeling real-world choices.

Our lab conducted studies in which regular heroin-users were stabilized on buprenorphine to suppress withdrawal. Within experimental sessions, the participant could choose repeatedly across 12 trials between units of hydromorphone (HYD, 1 or 2 mg IM) vs. money ($2 or $4); HYD and money amounts differed …

Identifiability And Model Selection Frameworks For Models Of High-Grade Glioma Response To Chemoradiation, Khushi C Hiremath, Kenan Atakishi, Ernesto A B F Lima, Maguy Farhat, Bikash Panthi, Holly Langshaw, Mihir D Shanker, Wasif Talpur, Sara Thrower, Jodi Goldman, Caroline Chung, Thomas E Yankeelov, David A Hormuth Ii

Faculty, Staff and Student Publications

We have developed a family of biology-based mathematical models of high-grade glioma (HGG), capturing the key features of tumour growth and response to chemoradiation. We now seek to quantify the accuracy of parameter estimation and determine, when given a virtual patient cohort, which model was used to generate the tumours. In this way, we systematically test both the parameter and model identifiability. Virtual patients are generated from unique growth parameters whose growth dynamics are determined by the model family. We then assessed the ability to recover model parameters and select the model used to generate the tumour. We then evaluated …

Computational Sensitivity Evaluation Of Ultrasound Neuromodulation Resolution To Brain Tissue Sound Speed With Robust Beamforming, Boqiang Fan, Wayne Goodman, Sameer A Sheth, Richard R Bouchard, Behnaam Aazhang

Faculty, Staff and Student Publications

Low-intensity focused ultrasound (LIFU) neuromodulation requires precise targeting and high resolution enabled by phased array transducers and beamforming. However, focusing optimization usually relies on phantom measurements or simulations with inaccurate acoustic properties to degrade neuromodulation resolution. Therefore, this work analyzes the sensitivity of neuromodulation resolution, measured by off-target activation area (OTAA), to brain tissue sound speed. A Robust Optimal Resolution (ROR) beamforming method is proposed to minimize the worst-case OTAA with restricted sound speed inaccuracy and propagation information estimated with deviated sound speed. The propagation estimation model utilizes equivalent source method (ESM) to map sound field between different acoustic parameter …

“Lyfting” The Possibilities And Opportunities For Sustainable And Safe Transportation To Access Medical Care, Saneywongse Le Mar

Goal 3: Good Health and Well-Being

No abstract provided.

2025- The Twenty-Ninth Annual Symposium Of Student Scholars

Symposium of Student Scholars Program Books

The full program book from the 29th Annual Symposium of Student Scholars, held on April 16-18, 2025. Includes abstracts from the presentations and posters.

Irreversible K-Threshold Number Ck(G) And Saturation Probability P[G] For Corona Product And Double Corona Product Graphs, Eric J. Moon, Soumya Bhoumik, Paul Flesher

SACAD: Scholarly Activities

We discuss the Irreversible k-conversion process for graphs, where a vertex becomes saturated and remains saturated indefinitely if at least k of its neighbors are saturated. We investigate sets S₀, which when initially saturated, lead to complete graph saturation. We are interested in the minimum |S₀| = C_k(G), called the k-threshold number. We consider the construction of the Corona Product Graphs (of C_n and K_p). Additionally, we extend our analysis by defining and exploring Double Corona Product Graphs (of C_n and K_p). Then we incorporate …

Interactions Between Explicit And Implicit Memories During Sensorimotor Adaptation And After Concussion, Devon Lantagne

Dissertations (1934 -)

Sensorimotor adaptation is a form of motor learning whereby a motor skill is adjusted in the face of a disturbance to return performance to desired performance. This process uses memories of previous experiences to guide future movements. While the temporal characteristics of adaptation have been well studied, the extent to which these memories are explicit, implicit, or a mixture of both is unclear. In this Dissertation, I conduct three studies to investigate the relative contributions of sensorimotor memories when adapting to stochastic spring-like loads applied to the hand. By implementing computational modeling and system identification techniques, I fit memory models …

Building Bridges Of Knowledge, Cuny Innovative Teaching Academy (Cita)

Open Educational Resources

Building Bridge of Knowledge (BBK) is a CUNY-wide faculty fellowship project, aiming to help students use generative artificial intelligence (AI) tools ethically, responsibly, and effectively. Funded by Lumina Foundation in 2024-25, the project was executed by the CUNY Innovative Teaching Academy (CITA) of the Office of Faculty Affairs at CUNY Central Office, with 25 Faculty Fellows in five disciplinary areas (Education, Health, Humanities, Social Sciences, and STEM) chosen from across CUNY’s senior and community colleges. Each disciplinary cohort was led by a CUNY faculty member with expertise in the use of AI. The final materials, described and linked in this …

Strengthening Local Health Systems And Governance For Universal Health Coverage: Experiences And Lessons From The Covid-19 Pandemic Response In Quezon City, Philippines, Esperanza Anita Escano-Arias, Ramona Asuncion D.G. Abarquez, Rolando V. Cruz, Rosalie Espeleta, Madeline Mae Ong, Arianna Maever L. Amit, Veincent Christian Pepito, Vida Gomez, Manuel M. Dayrit

Ateneo School of Medicine and Public Health Publications

The COVID-19 pandemic has disrupted the Philippines's transition toward universal health coverage. However, some local government units in the country made use of the pandemic as a catalyst to strengthen their local health system, scale-up the provision of preventive and primary care services, and improve health governance to make it more prepared to face future pandemics and realize the aims of the country's new Universal Healthcare Act. This paper describes the response of the local government of Quezon City, Philippines, to COVID-19 and how it strengthened local health systems. We also discuss enablers such as partnerships, collaborations, and foresight to …

Lead Telecommunications Cables: A Call For Concern?, Zachary Young

Michigan Journal of Environmental & Administrative Law

From the late 1800s until the 1950s, telecommunication companies across the United States utilized lead casing to protect their telecommunication lines. As technology developed and different types of plastic coatings were created, telecommunication companies phased out the use of lead cables. However, the lead cables remain in the air and buried in the ground, even continuing to provide telephone service for some. The failure to remove these cables, most of which are not in use anymore, has generated a slew of issues for the modem-day telecommunication companies that have inherited these cables from their predecessors. As the protective casing decays, …

Monitoring Opioid-Use-Disorder Treatment Adherence Using Smartwatch Gesture Recognition, Andrew Smith, Kuba Jerzmanowski, Phyllis Raynor Phd, Aprn, Pmhnp-Bc, Cynthia F. Corbett Phd, Rn, Faan, Homayoun Valafar

Publications

The opioid epidemic in the United States has significantly impacted pregnant women with opioid use disorder (OUD), leading to increased health and social complications. This study explores the feasibility of using machine learning algorithms with consumer-grade smartwatches to identify medication-taking gestures. The research specifically focuses on treatments for OUD, investigating methadone and buprenorphine taking gestures. Participants (n = 16, all female university students) simulated medication-taking gestures in a controlled lab environment over two weeks, with data collected via Ticwatch E and E3 smartwatches running custom ASPIRE software. The study employed a RegNet-style 1D ResNet model to analyze gesture data, achieving …

Investigating Mercury Contamination In Urban Fish: Atomic Absorption Spectroscopy And Histological Analysis For Environmental And Human Health, Indy L. Cockrill, Ross Andrew

SPARK Symposium Presentations

Mercury contamination in aquatic ecosystems is a pressing environmental and public health concern, particularly in urban areas where industrial runoff and wastewater contribute to heavy metal accumulation. This study investigates mercury presence in fish from Richland Creek in Nashville, TN, by analyzing histological changes in liver and muscle tissues. Mercury bioaccumulates in aquatic food chains, potentially leading to physiological damage in fish and posing health risks to humans who consume contaminated seafood. While prior research has established mercury’s toxic effects, there is a need for localized studies assessing its presence in urban waterways. The hope is to find histological abnormalities …

Exploring The Matriculation And Resource Utilization Of African American Students With Hidden Disabilities In The Health Sciences, Kimberly Houston

Theses and Dissertations (ETD)

Introduction. Learning disabilities result from genetic and neurobiological factors that alter brain function, such that cognitive processes related to learning are affected. Hidden disabilities can be defined as a non-apparent chronic condition that interferes with a person’s activities of daily living. While learning disabilities may be hidden, there are non-learning disabilities, such as dyslexia, autism, depression, fibromyalgia, and attention deficit hyperactivity disorder. While all races/ethnic groups have persons within their population who are disabled, African Americans are at a double disadvantage due to race and disability status. Therefore, the intersectionality of race and disability status among African American students in …

Precision Drug Dosing And Disease Risk Prediction: Advanced Deep Learning Artificial Intelligence Approaches For Precision Medicine Using Structured Electronic Health Records Data, Bingyu Mao

Dissertations and Theses (Open Access)

Advancements in precision medicine increasingly rely on data-driven approaches to improve clinical decision-making. This work presents three interconnected studies that leverage deep learning, reinforcement learning, and comparative modeling to address key challenges in precision drug dosing and disease risk prediction. Together, these contributions offer novel computational frameworks that enhance model performance, improve dosing strategies, and guide model selection for clinical predictive tasks.

To improve individualized vancomycin therapeutic drug monitoring (TDM), the first study introduces PKRNN-2CM, a novel deep learning framework that integrates a two-compartment pharmacokinetic (PK) model with recurrent neural networks (RNNs). While one-compartment models are commonly used in clinical …

South Dakota Department Of Health: Office Of Community Engagement Strategic Plan Fiscal Years 2025-2028, Julia E. Platt

Honors Thesis

The goal of a strategic plan is to ensure that resources are used effectively and efforts are focused where they are most required by means of direction and concentration. The South Dakota Department of Health Office of Community Engagement Strategic Plan Fiscal Years 2025-2028 contains objectives and goals aimed at maximizing the use of resource allocations and solutions to best meet the needs of the OCE and its partners. In order to create those goals and objectives, internal and external needs assessments, along with key informant interviews, were conducted and analyzed to pull data into actionable SMART objectives. Alignment with …

Graduate School Blog - April 2025 Volume 1, Cynthia Haynes

UofM Grad School Blog

The April 2025 UofM Graduate School Blog highlights a month full of events, stories, and celebrations, beginning with Dr. Deborah Tollefsen’s personal graduate school journey, shared during the “Is Graduate School Right for Me?” virtual workshop an inspiring narrative of resilience, mentorship, and finding purpose through education. This edition also spotlights Graduate Student Appreciation Week, featuring a robust lineup of events such as a virtual town hall, resume and job market workshop, student social and awards ceremony, study session, and social dinners all designed to support, celebrate, and connect the UofM graduate student community. With opportunities to hear from …

A Mechanistic Understanding Of The Effect Of Staphylococcus Aureus Vras Histidine Kinase Single-Point Mutation On Antibiotic Resistance, Liaqat Ali, Salima Karki, Gunavanthi D. Boorgula, Amir Mekakda, Brittnee Cagle-White, Shrijan Bhattarai, Robert Beaudoin, Aryanna Blakeney, Sanjay Singh, Shashikant Srivastava, May H. Abdelaziz

Pharmacy Faculty Publications and Presentations

Bacterial genomic mutations in Staphylococcus aureus have been detected in isolated resistant clinical strains, yet their mechanistic effect on the development of antimicrobial resistance remains unclear. Resistance-associated regulatory systems acquire adaptive mutations under stress conditions that may lead to a gain-of-function effect and contribute to the resistance phenotype. Here, we investigate the effect of a single-point mutation (T331I) in VraS histidine kinase, part of the VraSR two-component system in S. aureus. VraSR senses and responds to environmental stress signals by upregulating gene expression for cell wall synthesis. A combination of enzyme kinetics, microbiological, and transcriptomic analyses revealed the mechanistic effect …

Deep Learning For Fine-Grained Digital Histopathology Image Analysis, Joseph Dipalma

Computer Science Technical Reports

As digital pathology becomes increasingly popular, it is critical to develop machine learning solutions to utilize this data. While other image modalities have seen exponential increases in methodology availability, the same has not been true for histopathology images. This is likely in part because histopathology whole slide images possess unique characteristics that prevent simply applying existing methods as-is.

In this thesis, we identify and propose solutions to 3 open problems with histopathology images: 1. large raw image size (up to 150,000×150,000 pixels in size), 2. low class-positivity (low ratio of positive to negative patches), and 3. limited image availability with …

2025 Research Day Program, Lincoln Memorial University

Research Day

This program contains poster presentation summaries from LMU's 2025 Annual Research Day conference.

Rhythm Is Essential: Unraveling The Relation Between The Circadian Clock And Cancer, Olajumoke Ogunlusi, Abantika Ghosh, Mrinmoy Sarkar, Kayla Carter, Harshini Davuluri, Mahul Chakraborty, Kristin Eckel-Mahan, Alex Keene, Jerome S Menet, Deborah Bell-Pedersen, Tapasree Roy Sarkar

The Brown Foundation: Institute of Molecular Medicine

Physiological processes such as the sleep-wake cycle, metabolism, hormone secretion, neurotransmitter release, sensory capabilities, and a variety of behaviors, including sleep, are controlled by a circadian rhythm adapted to 24-hour day-night periodicity. Disruption of circadian rhythm may lead to the risks of numerous diseases, including cancers. Several epidemiological and clinical data reveal a connection between the disruption of circadian rhythms and cancer. On the contrary, oncogenic processes may suppress the homeostatic balance imposed by the circadian clock. The integration of circadian biology into cancer research offers new options for making cancer treatment more effective, and the pharmacological modulation of core …

A Phase I Study Of The Pharmacokinetics, Pharmacodynamics, And Safety Of Liposomal Bupivacaine For Sciatic Nerve Block In The Popliteal Fossa For Bunionectomy, Daniel I Sessler, Xiaodong Bao, David Leiman, Jia Song, Jason Chittenden, Alexander Voelkner, Alparslan Turan, Jeffrey Gadsden

Faculty, Staff and Student Publications

This trial assessed the pharmacokinetics, pharmacodynamics, and safety of liposomal bupivacaine given via ultrasound-guided popliteal sciatic nerve block with or without immediate-release bupivacaine hydrochloride in adults having bunionectomies. Forty-five adults were enrolled into four sequential cohorts: (1) liposomal bupivacaine 266 mg with bupivacaine hydrochloride 50 mg; (2) liposomal bupivacaine 133 mg with bupivacaine hydrochloride 50 mg; (3) liposomal bupivacaine 266 mg; or (4) bupivacaine hydrochloride 100 mg. Outcomes included pharmacokinetics (e.g., bupivacaine maximum plasma concentration [C

Unraveling Early Onset Disparities And Determinants: An Analysis Of Colorectal Cancer Outcomes And Trends In Texas, Tyler Torres, Elias Arellano Villanueva, Yossef Alsabawi, Demba Fofana, Manish Tripathi

School of Medicine Publications

Introduction: Colorectal cancer (CRC) is the second leading cause of cancer-related deaths in the U.S., with disparities in incidence, survival, and age at diagnosis across racial, ethnic, and socioeconomic groups. The rising incidence of early-onset CRC (< 50 years) has amplified concerns regarding access to care, screening disparities, and outcomes, particularly among minorities. This study examines the impact of race, ethnicity, socioeconomic status (SES), and sex on CRC survival and age at diagnosis in Texas from 1995 to 2016.

Methods: This retrospective cohort study utilized Texas Cancer Registry (TCR) data, including 235,076 CRC cases diagnosed between 1995 and 2016. Kaplan-Meier analysis and log-rank tests assessed 10-year survival by race and ethnicity and time period (1995-2005 vs. 2006-2016). Kruskal-Wallis tests with Bonferroni correction were used to compare survival years between racial/ethnic groups within each period. Age at diagnosis was analyzed by race and …