Digital Commons Network^™

Modeling Dengue Transmission: Data Assimilation, Identifiability, Reproduction Number, And Stability Analysis, Owen Mcmann

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Self-Assembly And Self-Folding Models Of Viral Capsids, John R Jungck

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

[Chu] Spatial Pattern Formation In Eco-Evolutionary Games With Environment-Driven Motion, Tianyong Tao, Daniel Cooney

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Formulation And In Vitro Evaluation Of Kaffir Lime Fruit Peel Extract-Containing Gel For Sunscreen, Antioxidant, And Moisturizing Activity, Farida Lanawati Darsono, Lisa Soegianto

Pharmaceutical Sciences and Research

Kaffir lime peel waste (Citrus hystrix) has antioxidant effects that have the potential to protect the skin from exposure to UV-A and UV-B rays, as well as moisturize the skin. This study aims to determine the effect of increasing the concentration of condensed extract of kaffir lime fruit peel on its effectiveness as an antioxidant, sunscreen activity, and moisturizer. The condensed extract was obtained by maceration using 96% ethanol. In this study, we tested hydrophilic gels consisting of 4 extract concentrations in their formula: F1 (7.5%), F2 (10%), F3 (15%), and F4 (20%). The research phase begins with …

Powering Up Clinical Practice: Mastering Clinical Literature Search Techniques In Embase, Evelyn Wang

HSLIC Faculty and Staff Instructional Resources

This workshop guides clinical faculty and researchers through advanced literature search skills using EMBASE. Covers navigation, clinical question translation, keywords, Emtree terms, proximity/Boolean operators, pilot searches, result evaluation/organization, and pathway integration. Practical demonstrations and search tips included.

Developing A High-Throughput Machine Learning Screening Platform For Genetic And Pharmacological Modulators On Caenorhabditis Elegans Seizure Behavior, Paul A. Scarpinato

Electronic Theses and Dissertations

Epilepsy is a chronic neurological disorder characterized by recurrent seizures that affect over 50 million people worldwide, including more than 3.5 million in the United States. Seizures arise from a disrupted balance between excitation and inhibition. Although antiepileptic drugs (AEDs) remain the primary treatment to restore the excitation and inhibition balance, approximately 30% of patients experience drug-resistant epilepsy, highlighting the need for additional antiseizure medications. The Caenorhabditis elegans electroshock assay was developed in relative alignment with the rodent maximal electroshock seizure (MES) test, the gold standard for preclinical AED screening, provides a cost-effective platform for prescreening candidate AEDs.

This work …

Social Determinants Of Health Patterns In Children With Severe Disease Due To Sars-Cov-2 Infection-An Exploratory Approach, Joshua Prabhu, Sebastian Acosta, Fabio Savorgnan, Ananth V Annapragada, Usha Sethuraman

Faculty, Staff and Students Publications

Background/Objectives: Research on the association of adverse social determinants of health (SDOH) with severe pediatric coronavirus disease (COVID-19) is limited. We examined associations between SDOH patterns and COVID-19 severity in children.

Methods: We conducted a prospective, observational study of children (< 18 years) with symptomatic SARS-CoV-2 infection evaluated in an urban pediatric emergency department (March 2021-April 2022) in Detroit, Michigan. Caregivers completed a 34-item survey based on the Healthy People 2030 framework. Severe disease was defined as the occurrence of respiratory/cardiac failure or death within four weeks of diagnosis. Continuous and categorical variables were described using medians and percentages, respectively. Associations between disease severity and risk factors were determined using chi-square tests. Association rule mining was used for feature selection, followed by multivariate logistic regression.

Results: We analyzed data from 354 children [6-12 years: 31.1%, Female: 51.1%, Black: 59%, not Hispanic: 84.7%, public insurance: 77.1%, chronic condition: 27.4%]. Of the total, 113 children had severe disease. Most caregivers were 30-44 years old (53.1%), had less than a college degree (70.4%), and income < USD 50,000 (75.2%). Adverse SDOH reported included food/housing insecurity (24.6%), no support (64.7%), unmet childcare needs (35.9%), and lack of transportation (12.7%). After controlling for age, sex, medical history, income, and obesity, severe disease was associated with caregiver use of drugs/alcohol (OR:5.92, p < 0.001) and social discrimination/lack of support (OR: 1.74, p = 0.030).

Conclusions: Two SDOH patterns (caregiver use of drugs/alcohol …

The Effect Of High-Intensity Interval Training On Visceral Adipose Tissue In Type 2 Diabetes: A Systematic Review, Ivan D. Delgado, Julio C. Delgado, Ryan D. Burns

International Journal of Exercise Science

International Journal of Exercise Science 18(5): 1321-1333, 2025. https://doi.org/10.70252/YEUF2363 Visceral adipose tissue (VAT) is a significant contributor to insulin resistance in type 2 diabetes (T2D). The effectiveness of time-efficient high-intensity interval training (HIIT) in reducing VAT has not been reviewed. A systematic search conducted on PubMed, Embase, and SPORTDiscus up to April 2025 for randomized controlled trials that compared HIIT with non-exercise control and quantified VAT using imaging identified five trials (n = 138) that met inclusion criteria. Risk of bias was assessed using a nine-item modified PEDro scale. Four trials reported significant reductions in VAT after 8-12 weeks of …

Effects Of A Personalized Fitness Program Provided By Undergraduate Exercise Science Students On Attitudes Toward Exercise, Mental Health, And Quality Of Life, Kris M. Cleveland, Jacob Fike, Scott Peterson

International Journal of Exercise Science

International Journal of Exercise Science 18(4): 1334-1343, 2025. https://doi.org/10.70252/IYNS6043 Personalized fitness training is designed to improve physical health and fitness, but may also promote mental health and well-being. The purpose of this study was to determine whether there are positive psychological outcomes for clients participating in a community-based personalized fitness program led by undergraduate Exercise Science students. A total of 44 participants completed a battery of psychological scales both before and after participation in a 12-week university-sponsored personalized fitness training program. Psychological measures included the Exercise Attitudes Scale, Self-Efficacy Scale for Exercise, Short Warwick-Edinburgh Mental Well-Being Scale, Health Status Questionnaire, …

[Kadel] Robust Basins, Fragile Attractors: A New View On Boolean Network Dynamics, Claus Kadelka

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

[Project Insight] Applications Of Physics Informed Neural Networks For Incorporating Human Behavior Into Epidemiological Models, Alonso Gabriel Ogueda Oliva

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

[Kadel] Modular Control Of Boolean Network Models, Elena Dimitrova, David Murrugarra

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

[Project Insight] Spatio-Temporal Analysis Of Domestic Violence In Puerto Rico, Phyllis Muniu

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Integration Of High-Resolution Behavioral Data Into Mathematical Models For Public Health Applications, Giulia Pullano

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Mentoring First-Year Stem Students Through Collaborative Research In The Haynes Scholars Program, Alex Capaldi, Laura Tipton

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

[Kadel] Parameter Personalization Of Medical Digital Twins, Logan Rose

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

[Project Insight] Modeling Social Isolation: A Data-Driven Index Function Design And Implementation, Jeremis Morales-Morales

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

[Kadel] Understanding Aging In Worms Using Boolean Modeling, Brandilyn Stigler

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Histamine And Serotonin Impact Anopheles Stephensi Population Dynamics And Malaria Transmission: Perspectives From Mathematical Modeling, Michael Robert

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Quantification Of Parameters To Predict The Rupture Of Intracranial Saccular Aneurysms Using Physics Informed Neural Networks, Alonso Gabriel Ogueda, Padmanabhan Seshaiyer

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

[Lele] Early Careers In Mathematical Biology "Mathematical Analysis Of Exposure-Dependent Transmission With Environmental Reservoirs", Mohammad Mihrab Uddin Chowdhury, Angela Peace, Matthew J. Gray

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Representing Ewe-Lamb Contact Dynamics In An Agent-Based Model Of Enzootic Abortion Of Ewes, Kelly R. Buch, Cara J. Sulyok

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

[Kadel] A Multilevel Extension Of Boolean Networks Captures Topologically-Stable Hybrid Attractors, Kishore Hari

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Metapopulation Model For Oyster Restoration, Leah Shaw

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

[Lele] Understanding The Dynamics Of Legionnaires’ Disease Through Mathematical Modeling, Lihong Zhao

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

[Chu] Modelling The Effect Of Disturbed Blood-Feeding On Mosquito-Borne Disease Transmission, Kyle Dahlin, Michael Robert, Lauren Childs

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

2025-26 Women In Science Conference Schedule (Pdf), Lynn University

Women in Science Conference

No abstract provided.

Sglt2 Inhibitors For Non-Diabetic Patients With Chronic Kidney Disease: A Literature Review, Mostafa Mohrag

University of Bisha Journal for Basic and Applied Sciences

Introduction: Chronic kidney disease (CKD) pertains a sizeable burden on healthcare systems worldwide and is associated with significant morbidity and mortality. Recently, there has been compelling evidence associating SGLT2i usage with improved renal function and delayed progression in underlying CKD. Objective: To assess the efficacy of SGLT2i on the development of CKD in non-diabetic patients, with special attention to their efficacy, side effects, and “hard” renal outcomes such as progression to renal replacement therapy and worsening eGFR. Methodology: A broad search in the available medical databases (e.g MEDLINE, SCOPUS) was undertaken. Results: The available literature points strongly towards an overall …

Atmospheric Pressure Plasma Jet (Appj): A Review Of Producing Hydroxide (Oh) Radicals, And Wound Healing, A. E. Metawa

University of Bisha Journal for Basic and Applied Sciences

Atmospheric pressure plasma jet APPJ is one of the systems most used for producing chemical active reactions. Plasma jet generation uses various configurations, and power sources drive the discharge. Review and several chemical reactions can occur inside the plasma, producing several reactive species such as electrons, ions, and free radicals. There are different reactive species performed inside the plasma atmospheric pressure plays a role. hydroxyl (OH), these species have important effects in different applications, especially in medical and biological applications. Mechanism of producing the OH and O₃ radicals in different plasma jets. The chemical reactions govern the mechanism of …

Infrared Salient Object Detection And Classification With Deep Learning, Hamdan Alshehri, Haitham Assiri, Salahaldeen Duraibi, Yahya Alqahtani

University of Bisha Journal for Basic and Applied Sciences

As the complexity of large-scale infrared video images increases, traditional approaches for detecting conspicuous objects in these images continue to fail. An improved method for detecting prominent objects in infrared photos using deep learning has been created. The major parts of this model include the spatial feature extractor, the temporal feature extractor, the residual connection blocks, and the pixel-level classifier. The spatial feature extraction module was first used to collect the relevant spatial data. Once consistent spatial and temporal data was collected, the temporal feature extraction module was applied. The salient object recognition outcome was produced by jointly feeding the …