Digital Commons Network^™

Patent Searching With Uspto, Derwent Innovation And Lens.Org, Ibis Anette Moreno-Lozano

Day Family Research Lab Workshop Series

No abstract provided.

White Nose Syndrome In Bats And Infant Mortality In Georgia, Rhys Medcalfe, Sean Medcalfe, Simon Medcalfe

Journal of the Georgia Public Health Association

Background: White nose syndrome (WNS) is a disease in bats caused by the fungus Pseudogymnoascus destructans that can result in bat mortality rates of over 90%. WNS was discovered in Georgia in 2012 in 3 counties but has continued to spread to 14 counties as of 2023, with P. destructans detected in a further seven. Biodiversity loss has been linked to human health outcomes including infant mortality. Understanding the link between WNS, biodiversity loss, and infant mortality in Georgia is important because Georgia ranks 42^nd out of the 50 states for infant mortality rate.

Methods: Using panel data from …

An Exploratory Study Of Machine Learning-Based Open-Angle Glaucoma Detection Using Specific Autoantibodies, Naoko Takada, Yukitoshi Izumi, Charles F Zorumski, Et Al.

2020-Current year OA Pubs

No abstract provided.

Ada News - 12/8/2025, American Dental Association, Publishing Division

ADA News

Established in 1970 as the official newspaper of the American Dental Association, the ADA News serves practicing dentists and others allied to the dental profession in the U.S. and internationally. It is the No. 1 source of news and information about the many benefits and services the ADA delivers to members daily as well as timely information on scientific, social, political and economic developments affecting dentistry and health care.

Predicting Skin Concern Severity From Genetic And Lifestyle Factors: A Comparative Multi-Output Machine Learning Framework, Yassine Benachour, Lina Maloukh, Sadok Bouamama, Barbara Geusens

All Works

Personalized dermatology increasingly leverages both genetic predispositions and lifestyle behaviors to model individual skin health outcomes. This study proposes a multi-output machine learning framework to predict the severity of six dermatological phenotypes—acne, redness, dryness, sensitivity, scarring, and pigmentation—using a multimodal dataset of 5,254 individuals. Input features include mutation profiles for six skin-related genes (FLG, MMP1, MMP3, AQP3, SOD2, GPX) and 22 lifestyle variables such as sun exposure, stress, and hydration. We train and evaluate LightGBM models under independent, multi-output, and chained configurations. Performance is assessed using Mean Absolute Error (MAE) and average Quadratic Weighted Kappa (QWK). The proposed ordinal-aware independent …

Spike Timing Depended Plasticity Produces Unsupervised Learning Of Synergistic Muscle Feedback In A Synthetical Neural Network, Mark Allen Pupkiewicz

Dissertations and Theses

This study investigates how type Ia feedback from muscle spindles can be organized into groups representing agonistic muscle pairs through Spike Timing Dependent Plasticity (STDP). A single degree of freedom joint is actuated with four biologically modeled muscles forming two agonistic pairs. In order to emulate the sensory dynamics of biological muscle spindles, sensors in the model record the active length and velocity states of each muscle, the two primary factors eliciting type Ia afferent responses. In biological networks, synapses from Ia sensory neurons frequently activate interneurons representing agonistic muscle sources. This research investigates whether this organization can emerge in …

Enhancing Breast Cancer Detection In Mammographic Imaging Using Explainable Clinical Decision Support System And Framework, Ahed Abugabah, Prashant Kumar Shukla, Piyush Kumar Shukla, Abhishek Dwivedi

All Works

Breast cancer remains one of the leading causes of mortality among women worldwide, where early and precise detection plays a vital role in improving survival rates and treatment outcomes. However, conventional deep learning approaches often encounter challenges in handling dense mammographic tissues and lack transparency in decision-making, limiting their clinical reliability. To address these limitations, this study introduces TransYOLO-GJO, an explainable and optimized detection framework that integrates transformer-based attention mechanisms into the YOLOv9 architecture and leverages the Golden Jackal Optimization (GJO) algorithm for hyperparameter tuning. The transformer encoder enhances contextual feature extraction, particularly in dense breast regions, while GJO dynamically …

Model For Calculating Impact Force For Individualized Hip Fracture Prediction During A Fall, Alisha Agarwal, Daniel Kargilis, Nishtha Gupta, Michael Chang, Rui Feng, Gregory Chang, Chamith S. Rajapakse

Student Papers, Posters & Projects

Osteoporotic-related weakening of bone is a common cause of hip fractures. The standard of care for the diagnosis and management of osteoporosis is the dual-energy x-ray absorptiometry bone mineral density T-scores. Many individuals considered nonosteoporotic, however, still sustain fractures since these tools do not incorporate vital bone parameters and subject-specific characteristics. The purpose of this work was to (1) develop a simple analytical model for estimating the force exerted on the femur during a fall (i.e., impact force) based on measurable patient metrics and (2) define a quantifiable fracture risk index by comparing finite-element-derived bone strength and impact force, which …

Can Cta-Based Machine Learning Identify Patients For Whom Successful Endovascular Stroke Therapy Is Insufficient?, Jerome A Jeevarajan, Yingjun Dong, Anjan Ballekere, Sergio Salazar Marioni, Arash Niktabe, Rania Abdelkhaleq, Sunil A Sheth, Luca Giancardo

Faculty, Staff and Student Publications

Background and purpose: Despite advances in endovascular stroke therapy (EST) devices and techniques, many patients are left with substantial disability, even if the final infarct volumes (FIVs) remain small. Here, we evaluate the performance of a machine learning (ML) approach by using pretreatment CTA to identify this cohort of patients that may benefit from additional interventions.

Materials and methods: We identified consecutive subjects with large vessel occlusion (LVO) acute ischemic stroke (AIS) who underwent EST with successful reperfusion in a multicenter prospective registry cohort. We included only subjects with FIV < 30 mL and recorded 90-day outcome (mRS). A deep learning model was pretrained and then fine-tuned to predict 90-day mRS 0-2 by using pretreatment CTA images (DeepsymNet-v3 model pretrained on radiology reports and fine-tuned on detection of unexpected clinical outcomes using brain CTA images [DSN-CTA] model). The primary outcome was the predictive performance of the DSN-CTA model compared with a logistic regression model with clinical variables, measured by the area under the receiver operating characteristic curve (AUROC).

Results: The DSN-CTA model was pretrained on 1542 subjects and …

Digital Transformation Management And Organizational Performance: The Case Of Albanian Healthcare Sector, Oltjan Hamza

International Journal of Business and Technology

Purpose - The integration of digital technologies into the healthcare system is essential for improving both operational efficiency and quality of services. This study examines the relationship between digital transformation management and organizational performance in the healthcare sector in Albania, with particular focus on the mediating role of leadership in digital transformation and the digital skills of the healthcare staff. Methodology - The study employ a quantitative method through a structured questionnaire using a Likert scale, which was distributed to 93 healthcare sector employees in public and private institutions in Albania. Findings - Data collected through the survey were analyzed …

Selenium Nanoparticles As Versatile Delivery Tools, Amir Nasrolahi Shirazi, Rajesh Vadlapatla, Ajoy Koomer, Kyle Yep, Keykavous Parang

Pharmacy Faculty Articles and Research

Selenium nanoparticles (SeNPs) have emerged as promising metal-based nanoparticles for drug delivery due to their unique physicochemical properties, intrinsic bioactivity, and biocompatibility. SeNPs offer a lower toxicity, higher bioavailability, and flexibility to be customized for surface chemistry compared to traditional selenium compounds. Advances in synthetic strategies, including chemical reduction, green biosynthesis, and surface functionalization with polymers, peptides, or ligands, have improved their stability, targeting capability, and circulation time. SeNP-based systems have demonstrated unique anticancer, antimicrobial, and anti-inflammatory activities, as they can function as drug carriers and active therapeutic agents. The surface of SeNPs has been functionalized with ligands such as …

Understanding Medical Information And Emotional Support Needs In Mental Health Questions With Large Language Models, Chen Liu, William Yu Chung Wang, Gohar Khan

All Works

Purpose – This study seeks to bridge the gap between users’ multidimensional needs and the single-task capabilities of existing Mental Health Question Answering (MHQA) systems by tackling the underexplored challenge of jointly understanding medical informational needs and emotional support needs within complex consumer mental health inquiries. Design/methodology/approach – Grounded in Rhetorical Structure Theory (RST), the proposed Multi-Needs and Context Recognition (MNCR) framework decomposes mental health question understanding task into four interrelated subtasks: Medical Needs Recognition (MNR), Medical Needs-related Context Extraction (MNCE), Emotional Needs Recognition (ENR) and Emotional Needs-related Context Extraction (ENCE). A new benchmark dataset, MHQ-MedEmo, was constructed through multi-layered …

Exploring The Potential Of Martian Agriculture: Assessing Viability And Nutritional Composition Of Plants Cultivated In Martian Regolith, Abigail Ross

Honors Theses

In addition to sunlight and water, plants can utilize a small number of nutrients from the soil to biosynthesize all the materials that are needed for growth and development. However, plants require an environment where they are able to obtain those nutrients, such as iron, magnesium, potassium, sulfur, and nitrogen. Environmental factors determine the types and accessibility of nutrients available to plants. Plants then take up these nutrients from the soil to aid in biological mechanisms and the synthesis of important molecules needed for growth and development. Ascorbic acid, commonly known as Vitamin C, is a vital molecule that is …

Unsaturated Fatty Acid Oil-Based Microdroplets: A Promising Novel Class Of Microdroplets, Ramiz S. Alejilat

Seton Hall University Dissertations and Theses (ETDs)

Droplet-based microfluidics has rapidly advanced numerous fields, including chemistry, biology, materials science, medicine, food science, and cosmetics. In these systems, fluorocarbon oil combined with fluorinated surfactants is the preferred medium for fluid encapsulation, offering exceptional stability and biocompatibility essential for sensitive biological and chemical processes. However, growing concerns about the environmental and biological risks associated with fluorinated chemicals have prompted a search for alternatives.

This study is the first to explore the use of unsaturated fatty acids derived from emu oil for microdroplet formation. We characterized droplet formation based on flow rates and the presence non-fluorinated surfactant at a certain …

Understanding Daily Habits Affect On Mood: A Semester-Long Wellness Analysis, Alexis Caitlin Sweeney

Student Scholar Symposium Abstracts and Posters

This research aims to track and assess lifestyle and personal health behaviors over a semester in order to gain a better understanding of how daily routines impact overall well-being. Ten variables are being monitored, including weight, caffeine intake, sleep duration, napping, exercise frequency, homework hours, Instagram screen time, vitamin use, practicing miles, and mood evaluations on a 5-point scale. I intend to identify trends and relationships between these factors through consistent data collection throughout the semester, such as the effects of sleep and caffeine on mood, motivation, and productivity.

As a student-athlete and health science major, this initiative gives me …

Ctrl + Alt + Inner Speech: A Verbal–Cognitive Scaffold (Vcs) Model Of Pathways To Computational Thinking, Daisuke Akiba

Publications and Research

This theoretical paper introduces the Verbal–Cognitive Scaffold (VCS) Model, a cognitively inclusive framework which proposes the cognitive architectures underlying computational thinking (CT). Moving beyond monolithic theories of cognition (e.g., executive-function and metacognitive control models), the VCS Model posits inner speech (InSp) as the predominant cognitive pathway supporting CT operations in neurotypical populations. Synthesizing interdisciplinary scholarship across cognitive science, computational theory, neurodiversity research, and others, this framework articulates distinct mechanisms through which InSp supports CT. The model specifies four primary pathways linking InSp to CT components: verbal working memory supporting decomposition, symbolic representation facilitating pattern recognition and abstraction, sequential processing enabling …

Quality Improvement Project: Educating Nursing Faculty On Medication Administration Labs To Improve Student Competency, Chelsea Pacheco

Doctor of Nursing Practice Projects

Medication administration errors are a leading cause of preventable harm in healthcare. Faculty play a critical role in ensuring nursing students develop the knowledge and confidence to give medications safely. A needs assessment at the project site revealed that only course coordinators were teaching medication administration and dosage calculation, leaving other faculty uncertain about how to teach these skills. This quality improvement project aimed to strengthen faculty confidence and create consistency in first-year instruction through a recorded educational video. Constructivist Learning Theory provided the foundation for active, experience-based learning. Lewin’s Change Theory guided the structured implementation process to support adoption …

Full Issue, The Mcnair Team

McNair Scholars Research Journal

No abstract provided.

The Path To Better Always Requires Something Different, An Nguyen Dds, Mph

Metro Denver Dental Society Articulator Magazine

Dr. An Nguyen examines dentistry’s shift toward the Complete Health Era, where oral health is fully integrated into chronic disease management and whole-body wellness. She outlines the interdisciplinary skills, including medical mindset, behavioral science, quality improvement and meaningful measurement, needed for dental teams to thrive in this new landscape. The article makes a compelling call for embracing fresh approaches, partnerships and mindsets to advance dentistry’s role in comprehensive health care.

Articulator Volume 31, Issue 4

Metro Denver Dental Society Articulator Magazine

The 4^th Quarter 2025 of the MDDS Articulator Magazine offers a preview of the 2026 Rocky Mountain Dental Convention, taking place January 22–24 in Denver. The collection spotlights RMDC speakers and the future of dentistry, from the rise of AI and the shift toward integrated whole-health care to the hidden challenges of chronic illness, and a commitment to preserving natural dentition. The articles challenge dental professionals to rethink assumptions, embrace interdisciplinary collaboration and adopt more personalized and evidence-driven approaches to care.

Athletic Participation Among Students And Its Correlation To Increased Outcomes In Academic Performance, Benjamin Carl Anderson

All-Inclusive List of Electronic Theses and Dissertations

This quantitative study investigated the correlation between student participation in athletic-based extracurricular activities and academic performance among high school students in rural Indiana. The research sought to determine whether athletic involvement contributes to academic success indicators such as PSAT and SAT scores, and school attendance. The study looked at how athletics can serve as a lever for improving academic outcomes and supporting students in meeting the criteria for postsecondary readiness. Key research questions explored the influence of gender, ethnicity, grade level, and attendance on academic performance within the subset of students participating in athletics. A review of the literature supported …

Issue 16: Pulmonary & Critical Care Insider, Bharat Bajantri Md, Sarah Ellsworth Mls

Critical Care & Pulmonary

Pulmonary & Critical Care Insider Issue 16

Compiled by Bharat Bajantri, MD, and librarian Sarah Ellsworth, MLS for the clinicians of the Pulmonary and Critical Care team of Parkview.

The Pulmonary & Critical Care Insider newsletter was created by Dr. Bharat Bajantri, MD and Sarah Ellsworth, MLS in 2023 as a form of current awareness for current practice at our hospital, Parkview Health.

Topics:

EVERDAC Trial: Do All Shock Patients Need Arterial Lines?

Beyond MAP: Redefining Perfusion Pressure in Septic Shock

ECG Findings You Cannot Miss in Acute Pulmonary Embolism

Food for Thought: When Private Equity Buys Hospitals, Who Pays …

Diagnostic Accuracy Of Nanopore Sequencing For Detecting Mycobacterium Tuberculosis And Drug-Resistant Strains: A Systematic Review And Meta-Analysis, Timothy Hudson David Culasino Carandang, Dianne Jaula Cunanan, Gail S. Co, John David Pilapil, Juan Ignacio Garcia, Blanca I. Restrepo, Marcel Yotebieng, Jordi B. Torrelles, Kin Israel Notarte

Ateneo School of Medicine and Public Health Publications

Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB) infection, remains a significant public health threat. The timeliness, portability, and capacity of nanopore sequencing for diagnostics can aid in early detection and drug susceptibility testing (DST), which is crucial for effective TB control. This study synthesized current evidence on the diagnostic accuracy of the nanopore sequencing technology in detecting MTB and its DST profile. A comprehensive literature search in PubMed, Scopus, MEDLINE, Cochrane, EMBASE, Web of Science, AIM, IMEMR, IMSEAR, LILACS, WPRO, HERDIN Plus, MedRxiv, and BioRxiv was performed. Quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Pooled …

Synthesis Of Antibody Functionalized Polyaniline/Polystyrene/N-Gqds Composite Fibermats For Sweat Based Cortisol Biosensing Applications, Ashwin James

Honors Theses

Noninvasive, wearable biosensors capable of detecting stress biomarkers in sweat require electrodes that are flexible, conductive, insoluble in water, and highly sensitive at low concentrations of analyte. In this work, bovine serum albumin blocked and anti-cmab immobilized nitrogen doped graphene quantum dots integrated polyaniline/polystyrene composite fibermat electrodes (BSA/Anti-Cmab/N-GQDs/PANI/PS electrodes) were synthesized and evaluated as a potential platform for an electrochemical cortisol biosensor in sweat based systems. Polyaniline was utilized in order to provide electrical conductivity, while polystyrene served as a carrying polymer for mechanical support and its hydrophobicity. Composite fibermats were manufactured through Forcespinning™, followed by a secondary polyaniline graft …

Synthesis And Study Of Stable Organic Radicals For Mri Contrast Agents And New Materials, Sabina Dhakal

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

The first part of this dissertation focuses on the design, synthesis, and characterization of a thermally robust S =1/2 phototetrazolinyl monoradical and the development of synthetic methodologies for a high-spin (S = 1) phototetrazolinyl diradical. Electrochemical studies of the phototetrazolium cation (precursor to the monoradical) revealed a remarkably narrow electrochemical band gap (Ecell ≈ 0.82 V), suggesting promising electrical conductivity. Thermal analysis of the monoradical demonstrated excellent stability, with the onset of decomposition at 232 °C. Building on the excellent thermal stability and promising properties for electrical conductivity of the monoradical, we developed two condensation-based synthetic routes that provide viable …

Large-Scale Experimental Study On The Impact Of Air Cleaning & Ventilation On Indoor Air Quality And Student Illness-Related Absenteeism, Daud Nosham

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

This large-scale randomized experimental field study investigated the effect of portable air purifiers (PAPs) on classroom’s air quality and student’s illness related absenteeism. PAPs were installed in 317 classrooms from various school districts located in Eastern Nebraska. The classrooms were randomly assigned into four conditions: three treatment conditions (T1, T2 & T3) and one control condition (device without any filter). T1 was equipped with HEPA filters, T2 added Activated Carbon (AC) layer to HEPA, and T3 further integrated Germicidal Ultraviolet (GUV) alongside HEPA and AC filters. The measured variables were carbon dioxide (CO2), fine particles (PN2.5) and coarse particles (PNcoarse), …

Categorizing Weight Growth Of Infants Born Before 32 Weeks' Gestation Using The 2023 Postnatal Growth Charts For Preterm Infants., Fu-Sheng Chou, Hung-Wen Yeh, Crystal Hsueh, Jing Zhang, Maria Fe B. Villosis, Karine Barseghyan, Ashwini Lakshmanan, Reese H. Clark

Manuscripts, Articles, Book Chapters and Other Papers

OBJECTIVE: To categorize growth and correlate growth categories with morbidities in infants born before 32 weeks of gestation.

STUDY DESIGN: This retrospective study categorized weight growth by correlating mean growth velocity (GV) with growth trajectory z-score changes (ΔGTZ ), as measured using 2023 Postnatal Growth Charts for Preterm Infants. The associations between weight categories and morbidities were assessed.

RESULTS: Weight gain of infants without morbidities was categorized into three groups based on correlating ΔGTZ with mean GV: slower ( ΔGTZ < -0.1), in-parallel ( ΔGTZ -0.1 to 0.3), and faster ( ΔGTZ > 0.3). The proportions of infants with and without morbidities in these categories were evaluated across two distinct cohorts, revealing similar …

Development And Optimization Of Moxifloxacin Solid Lipid Nanoparticles Via Double Emulsion Organic Solvent Free Technique Applying Box–Behnken Experimental Design, Esraa M. Elshazly, Mona G. Arafa, Samia A. Nour

Pharmacy

The current research proposes the preparation of Moxifloxacin-loaded solid lipid nanoparticles through a solvent-free double emulsion technique, to overcome chronic wound healing limitation. The independent variables: stearic acid, Span 80, and Tween 80 were optimized via Box–Behnken design, based on entrapment efficiency (EE%), zeta potential (ZP), and particle size (PS). To statistically optimize the formulation variables, a three-factor, three-level (3³) design involving 15 runs was employed and optimization was carried out to attain maximum EE% and ZP and minimum PS yielding an overall desirability of 0.851. Results indicated that increasing stearic acid enhanced EE%, Span 80 increase PS, and Tween …

G2pdeep-V2: A Web-Based Deep-Learning Framework For Phenotype Prediction And Biomarker Discovery For All Organisms Using Multi-Omics Data, Shuai Zeng, Trinath Adusumilli, Sania Zafar Awan, Manish Sridhar Immadi, Dong Xu, Trupti Joshi

Biomedical Sciences

Multi-omics data offers rich insights into complex traits across organisms, yet integrating and analyzing these datasets for phenotype prediction and marker discovery remains challenging. Researchers need accessible tools that combine deep learning, hyperparameter optimization, visualization, and downstream analysis in a unified web platform. To address this, we developed G2PDeep-v2, a web-based platform powered by deep learning for phenotype prediction and marker discovery from multi-omics data across a wide range of organisms, including humans and plants. The server provides multiple services for researchers to create deep-learning models through an interactive interface and train these models using an automated hyperparameter tuning algorithm …

Host-Intrinsic Factors Determine Anti-Tumor Efficacy Of Exercise In Pancreatic Ductal Adenocarcinoma, Sumedha Pareek

Dissertations and Theses (Open Access)

Pancreatic Ductal Adenocarcinoma (PDAC) is the third leading cause of cancer-related deaths with a low 5-year relative survival rate of approximately 13.3% for all stages combined. We have previously shown that exercise can improve quality of life and enhance functional capacity among patients with PDAC. Exercise induces a variety of changes in the tumor microenvironment with beneficial effects in several tumor types. However, our understanding of the clinical effects of exercise and the mechanisms that mediate anti-tumor effects are limited in pancreatic cancer.

In this project, using C57BL/6 mice from Taconic Biosciences (Tac) and Jackson Laboratories (Jax), we established a …