Digital Commons Network^™

Ddx219.1 Social Media Analysis And Marketing Strategy Example 5, Sae University College

Exemplars

This project involved creating a suite of social media content tailored to the student’s chosen creative project. The work is exemplary for its consistent visual style, platform-specific content design, and alignment with the strategic goals defined on Project 1.

Use And Reporting Of Intervention Mapping For Adaptation: A Systematic Review Protocol, Eunyoung Kang, Hugo R Sánchez-Blas, Elizabeth O Obekpa, Maria E Fernandez

Faculty, Staff and Student Publications

Introduction: Intervention adaptation is likely to occur to some extent when implementing interventions in new implementation contexts. Using systematic frameworks can guide intentional and effective adaptation processes. Intervention Mapping for Adaptation (IM-ADAPT) is a framework that offers step-by-step guidance for systematic, theory-based intervention adaptation. Despite the increasing use of IM-ADAPT, there is limited understanding of the contexts in which it has been applied and how effectively it is used and reported. Addressing this knowledge gap can improve current adaptation practices and inform future enhancements of the IM-ADAPT framework and the broader science of intervention adaptation. This review aims to (1) …

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 …

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 …

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 …

[Project Insight] [Foag] Data-Driven Machine Learning Approaches To Modeling Pertussis Vaccine Scare Behavior, Gleb Gribovskii

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.

Can We End The Hiv Epidemic In The U.S.? Linking Clinical And National Surveillance Data Through Multiscale Modeling From Patients To Populations, Necibe Tuncer

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Iop Evolution During The Ai Revolution: How To Level Up Your I-O Psychology Skills To Adapt In The Rise Of Ai, Erin Lally, Jasil Pearson, Shawn Bergman, Christopher J. L. Cunningham

River Cities Industrial and Organizational Psychology Conference

The AI work revolution is here. All information-oriented professionals, whether experienced or novice, must evolve and determine how AI can be effectively integrated into their daily workflow. However, industrial-organizational professionals (IOP) with our already broad and relevant work-ready competencies are well-positioned to adapt to AI in the workplace. In this session, we will explore nine essential AI competencies and introduce an organizing framework that can help IOP to more fully develop the professional competencies to collaborate and lead effectively in an increasingly AI-augmented world. In this session, we will discuss the possibilities, opportunities, and challenges AI presents in the workplace …

The Evolution Of Cooperation In A Mobile Population On Random Networks: Network Topology Matters Only For Low-Degree Networks, Igor V. Erovenko

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Commercial Laying Hen Farms' General Characteristics, Environmental Management, And Biosecurity Practices In The Sub-Arid Area Of Algeria, Yacine Kasmi, Nouzha Heleili, Zohra Ahmed Gaid, Brahim Hamad, Leyla Hadef, Manel Merradi

The Thai Journal of Veterinary Medicine

The success of commercial laying hen farms depends on the possibility of managing environmental conditions properly and performing strict biosecurity measures, which would increase productivity, enhance the performance of the flock, and save money, especially in regions characterized by challenging climatic conditions, such as the sub-arid and arid areas. There is, however, very little literature exploring these issues in the Algerian context. The objective of the study was to assess environmental management and biosecurity practices, and the relationship between these and farm size in the Algerian sub-arid area (northeast Algeria). The face-to-face interviews were conducted between January 2024 and April …

Effect Of Feeding A Saccharomyces Cerevisiae Fermentationderived Postbiotics On Growth Performance And Intestinal Health In The Crossbred Broiler Chickens Under A Low Biosecurity Production System, Ho Thi Dung, Pham Hoang Son Hung, Le Duc Thao, Nguyen Van Chao, Bui Thi Hien, Nguyen Thi Hoa, Le Thi Thu Hang, Anjan Mondal, Victor Nsereko, Le Dinh Phung

The Thai Journal of Veterinary Medicine

Open farming systems with low biosecurity conditions are very common in developing countries. In the context that many countries in the world have issued regulations prohibiting the use of antibiotics for disease prevention, finding effective alternatives becomes more important, especially for farms with low biosecurity. This study aimed to explore the effects of a Saccharomyces cerevisiae fermentation-derived postbiotics (SCFP) on growth performance and intestinal health of crossbred broiler chickens raised in a low bio-security production system. One hundred ninety-two 1-day-old chickens were assigned to 2 treatments. Dietary treatments were: 1) a standard basal diet and 2) a standard basal diet …

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 …

Hybrid Machine Learning Technique For Cybersecurity Event Detection, Ashwag Albakri

University of Bisha Journal for Basic and Applied Sciences

The use of machine learning algorithms has become essential in the cybersecurity industry. The increasing frequency of government intrusions and malicious actions has made the necessity for strong defenses and protective measures vital. Designing an automated and efficient digital threat detection mechanism is one of the most difficult tasks in network security. This study proposes a cyber-event detection model that effectively forecast cyber-occurrences to resolve this issue. As a result, a hybrid machine learning model using support vector machines (SVM) with random forest (RF) is proposed. The proposed algorithm is termed HS-RF. By identifying and thwarting harmful attacks, the hybrid …

Predicting The Next Trending Hussaini Poems: A Machine Learning Approach Based On Textual And Engagement Features, Elaf Adel Abbas

AUIQ Technical Engineering Science

Hussaini’s poem videos have garnered substantial viewership on digital platforms; nevertheless, the determinants of why just a select number achieve “trending” status remain inadequately comprehended. This study presents a machine learning approach aimed at forecasting the trending potential of Hussaini poetry videos through the integration of text- and interaction-based variables. A dataset including 270 YouTube videos was generated, encompassing each video’s title and audience engagement parameters, including views, likes, comments, duration, and upload time. Textual attributes were converted using TF-IDF representations, whereas numerical attributes were standardized and amalgamated via a unified ColumnTransformer pipeline. Five machine learning classifiers—Naive Bayes, Logistic Regression, …

University + Middle School = A Premier Professional Learning Community, Erica Kwiatkowski-Egizio

Education Department Faculty Conferences

This session will discuss how teachers from a middle school identify, define, and refine their understanding of their professional learning needs in the context of professional learning communities and how teacher candidates from a university learn in that context. Data shared with participants will include surveys, field notes, artifacts (journals, notes, other written contributions), and interviews with middle school teachers and teacher candidates.

The 2017 Merrimack College Mobile Lightboard: Personalized Office-Based Lightboarding On A Shared Mobile Board, Craig Looney, Christopher L. Duston, James Biegel, Manuel A. Carrero Jr., Nicholas A. Valente

Physics Faculty Publications

We present and evaluate the Merrimack College Mobile Lightboard, which we built in 2017 and which is still in use in 2025. Our design was closely based on that of the groundbreaking 2014 Duke University Lightboard but with a smaller glass pane, 5 feet wide instead of 6 feet wide. The resulting scaled-down board is small enough to move in and out of individual faculty offices, but large enough to make detailed videos. An updated construction cost estimate is provided, and recent upgrades are briefly discussed. We believe that personalized office-based lightboarding represents an attractive option for many faculty members, …

The 1935 Nazi Nuremberg Laws In Historical And Legal Context, Menachem Z. Rosensaft

Cornell Law Faculty Working Papers

The core ideology of Hitler Germany — of the Third Reich — was the hardcore, unremittent antisemitism that in short order permeated German society and the German legal system before creating the necessary conditions for the genocide of all Jews under Nazi control.

Two preliminary observations. First, should we view the 1935 Nuremberg laws and other German anti-Jewish laws and measures of the 1930s as the first stages of a process designed culminate in the annihilation of Jews, or were they drafted and enacted by individuals who, at that point in time, were not envisioning a “Final Solution of the …

Data Property & Digital Sales, Christina Mulligan

Loyola of Los Angeles Law Review

Copyright law fails utterly to develop a coherent concept of "digital sales." Printed books and vinyl records are easily sold and resold, with the copyright holder’s permission or under the first sale doctrine. But a creator of digital copyrighted works who wants to analogously “sell” their work to buyers faces what borders on an absurdity; “digital sales” of copyrighted works are incoherent at worst and useless at best. As a result, sophisticated copyright owners almost never sell their works and only license purchasers to make particular uses of digital works, such as “personal uses” or reproducing the work on a …

Presidential Power And Administrating Injustice In Removal Proceedings, Beth K. Zilberman

Loyola of Los Angeles Law Review

Presidential regime changes often lead to notable shifts in federal policy and raise important questions about how the executive branch manages high-volume adjudication systems within the broader administrative state. While managing an enormous caseload, federal mass-adjudication systems make determinations concerning individuals’ disputes with the government across various subject areas that disproportionately affect disadvantaged populations. The outcomes of these adjudication systems have profound impacts on the lives of vulnerable individuals compelled to appear before these administrative tribunals. The scale and life-altering consequences of these adjudications highlight the need for a deeper examination of the procedural protections afforded by agencies to some …

Why Shouldn’T We Cancel Thanksgiving Day?, Isaias D'Oleo-Ochoa

CTS Student Publications and Creative Works

The number of people who reject Thanksgiving is increasing each year. One of the major arguments against Thanksgiving is the allegation that it introduces religion to American society. Our modern society has strongly disregarded the religious dimension of the holiday by promoting it as the unofficial start of winter or Black Friday’s eve. I note a major issue with this approach because the twofold dimension of Thanksgiving is not only rooted in American history but also is noteworthy for being celebrated. Celebrating Thanksgiving may allow us to appreciate God’s grace in our historical past and today. In reflecting on my …

Rbm39 Contributes To Mgmt Maintenance In Response To Temozolomide-Induced Dna Damage, Vahid Khalaj, Jack T Adams, Solmaz Aghaamiri, Servando Hernandez Vargas, Tyler M Bateman, Sukhen C Ghosh, Majid Momeny, Ali Azhdarinia

The Brown Foundation: Institute of Molecular Medicine

Resistance to alkylating chemotherapeutic agents such as temozolomide (TMZ) is a significant challenge in treating tumors with high MGMT expression, including MGMT-positive glioblastoma and neuroendocrine neoplasms. In this study, we investigated the effect of RNA-binding motif protein 39 (RBM39) downregulation on MGMT protein levels, based on prior observations suggesting an association between these two proteins. Pharmacological depletion or siRNA-mediated knockdown of RBM39 led to a marked reduction in MGMT protein levels in MGMT-expressing cancer cells. We further showed that dual targeting of RBM39 (using indisulam) and MGMT (with O6-benzylguanine) synergistically enhanced MGMT depletion. Functionally, combined indisulam and TMZ treatment significantly …

Untargeted Metabolomics Reveals Organ-Specific And Extraction-Dependent Metabolite Profiles In Endemic Tajik Species Ferula Violacea Korovin, Sylhiya Mavlonazarova, Kenneth Acosta, Rinat Abzalimov, Saidbeg Satorov, Vyacheslav Dushenkov

Publications and Research

Ferula violacea Korovin, an endemic Tajikistani plant with purported medicinal properties, remains understudied. This study employs untargeted metabolomics to characterize the metabolite profiles of ethanol extracts and juices from F. violacea roots and seeds. In total, 540 distinct metabolites are putatively identified, 419 of which are previously unreported in the Ferula genus, representing a substantial expansion of its known chemical diversity. The most abundant metabolites are terpenoids, amino acid derivatives, and alkaloids. A particularly abundant group of daucane sesquiterpenoids, sharing a common (6-methyl-azulen-4-yl) cyclohexanecarboxylate substructure, is identified, including known metabolites such as ferutidin and ferutinin. Comparative analysis reveals organ-specific metabolic …

Native Bee Assemblages In Prescribed Fire-Managed Prairies: A Case Study From Arkansas, United States, Coleman Z. Little, Neelendra K. Joshi

Entomology and Plant Pathology Faculty Publications and Presentations

Native bee communities in Arkansas remain poorly documented, particularly within fire-managed prairie ecosystems that provide critical habitat for pollinators. This study surveyed bee assemblages at two native prairie remnants in the Arkansas River Valley, one large (Cherokee Prairie Natural Area, CPNA) and one small urban fragment (Jewel Moore Nature Reserve, JMNR), both managed using prescribed fire. Using pan trapping, we recorded 599 individuals representing 96 species across 25 genera, including 49% singletons. Despite differences in size and landscape context, both prairies supported similarly rich bee communities per sample day, with JMNR and CPNA averaging 16.1 and 13.75 species, respectively. However, …

Hyperoxia During Neonatal Cardiopulmonary Bypass Is Associated With Worse Clinical Outcomes: A Multi-Institutional Study, Asaad G Beshish, David M Kwiatkowski, Nathaniel Sznycer-Taub, John M Costello, Andrew Jergel, Scott Gillespie, Katherine Cashen, Ahmed Asfari, Maria Batsis, Jason R Buckley, Meghan M Chlebowski, Saul Flores, Nimrod Goldshtrom, Karl Migally, Kimberly I Mills, Monique R Radman, Chetana Reddy, Brittany Shutes, Christine M Riley, Sukumar Suguna Narasimhulu, Dana Mueller, Venugopal Amula, Raji Venkitachalam, Brian F Joy, Karan B Karki, Scott M Leopold, Jennifer E Schramm, Christine A Capone, Scott I Aydin, Adnan M Bakar, Kieran Leong, Agnieszka Kulikowska, Sarah Wing, Christopher W Mastropietro, Collaborative Research From The Pediatric Intensive Care Society (Core‐Pcics) Investigators

Faculty, Staff and Students Publications

Background: Exposure to supraphysiologic oxygen concentrations, or hyperoxia, during neonatal cardiopulmonary bypass (CPB) has been associated with worse outcomes in single-center studies. We aimed to describe variation in oxygen exposure during CPB and determine if hyperoxia is associated with worse outcomes in a multicenter cohort of neonates undergoing cardiac surgery.

Methods: We conducted a retrospective study of neonates who underwent surgery with CPB between January 2021 and December 2022 at 29 centers. Primary outcomes were operative mortality and major adverse cardiovascular events (MACE), which included CPR, extracorporeal support, stroke, and mortality. Logistic regression assessed the associations between median PaO2 during …

Integrated Neutrosophic Set For Assessing The Route Options In Overweight Complex Transportation Planning Scenarios, Muhammad Abid, Tayyaba Akhtar, Harshit Bhatt

Neutrosophic Systems with Applications

Due to improvements in lifting and transportation technology that enable the long-distance movement of heavy loads, overweight and oversized transport (O&OT) has emerged as one of the most important aspects of project logistics. This kind of transportation operation, also known as abnormal transportation, is heavily influenced by external variables like weather, traffic density, and legal regulations, as well as technical factors like the load’s weight and geometry, road surface, axle load limitations, slope, and ground strength. Decision-Makers (DMs) and practitioners who plan and carry out operations without giving these variables and factors enough thought may cause operational delays, significant hazards, …

Comprehensive Risk Evaluation Framework For Reducing Errors In Critical Airport Systems, Arshad Hameed, Muhammad Umer Farooq

Neutrosophic Systems with Applications

Airports are intricate systems that are subject to a number of operational hazards that might impair safety and cause service interruptions. There is a dearth of thorough approaches designed specifically for airport operations, despite a wealth of research on risk management in several industries. In order to anticipate and prevent breakdowns in vital airport systems, we offer a thorough risk assessment approach that combines quantitative evaluation and human factor analysis. This study uses the decision-making methodology such as MARCOS method to rank the alternatives. The criteria weights are computed in this study. This study uses six criteria and 14 alternatives.

Evaluating Solar Energy Challenges And Strategies To Overcome Challenges Under Neutrosophic Decision Making Methodology, Ahmed A El-Douh, Mina Samir Shenouda

Neutrosophic Systems with Applications

Because of its reliance on fossil fuels and fast population expansion, the nation confronts severe socioeconomic problems that can result in political instability, environmental damage, health issues, and economic instability. A switch to clean energy is now necessary as a result of these problems widening the gap between supply and demand for energy. To close this gap, photovoltaic (PV) technology holds great potential. In order to reduce bias and handle ambiguity while assessing solar energy (SE) issues and regulations, this study offers a decision-making process in a single valued neutrosophic set (SVNS) environment. The neutrosophic set is used to overcome …