Digital Commons Network^™

Racing Together: Hero Camp’S Collaborative Path To Empower Youth, Katherine Leistico

Nursing

The healthcare workforce is facing significant challenges and requires diverse, well-prepared future generations to meet the nation's growing demands. Literature recommends implementing programs to introduce adolescents to healthcare disciplines and recruit the next generation workforce. Led by a nursing professional development specialist (NPDS), a collaborative partnership was formed between a non-profit urban adolescent empowerment group and volunteer services to develop a camp experience exploring healthcare careers. A theme was created highlighting the camp: HERO (Healthcare Explorers Reaching Occupations). The goal of the camp was to increase adolescents' understanding of various healthcare career paths, stimulate career interest, and network with nursing …

An Appalachian Expression Of Rootedness: Exploring Rootedness In The Writings Of Simone Weil And Wendell Berry, Luke Bratton

Criterion: A Journal of Literary Criticism

No abstract provided.

Mould Risk Prevention In Healthcare Facilities In Hot And Humid Climates Through Acmv Air Supply Parameter Optimisation: Development And Validation Of A Multi-Objective Optimisation Framework, Jiang Kaiyun

Student Works (2020-2029)

Air conditioning mechanical ventilation (ACMV) supply parameters—such as airflow rate, temperature, and humidity—significantly influence indoor thermal and hygrometric conditions, influencing airflow patterns and mould proliferation. In healthcare facilities, mould poses significant health risks, particularly for immunocompromised patients, contributing to respiratory issues, allergic reactions, and infections. While ACMV systems are central to infection control and indoor air quality, conventional designs often fall short in hot and humid climates. Existing practices typically prioritise high air change rates (ACH) without sufficient dehumidification, underestimate humidity control, and assume spatial homogeneity, overlooking microclimates conducive to localised mould growth. To address these limitations, this research develops …

Fasting-Based Dietary Interventions In Cancer Patients And Survivors: A Scoping Review, Kuang-Yi Wen, Julianne Freedman, Abenezer Melaku Tafese, William Kevin Kelly, Nicole L Simone

Department of Medical Oncology Faculty Papers

Background: Fasting-based interventions are increasingly investigated as adjuncts to cancer treatment for the potential to reduce therapy-related toxicities, improve metabolic health, and enhance quality of life. However, clinical evidence regarding their efficacy, tolerability, and acceptability remains limited and fragmented. This scoping review aimed to systematically map the current evidence on fasting-based interventions in cancer patients and survivors.

Methods: A literature search was conducted in PubMed, Scopus, Web of Science, and CINAHL up to 10 June 2025. Eligible interventional studies included cancer patients or survivors and evaluated fasting-based interventions, such as time-restricted eating, intermittent fasting, short-term fasting, or fasting-mimicking …

Multi-Modal Tensor Fusion For Alzheimer’S Disease Recognition, Mason Li, Tiffany Le, Jiajing Huang, Yuxin Wen

Engineering Faculty Articles and Research

Accurate and early diagnosis of Alzheimer’s disease (AD) is critical for effective intervention, disease monitoring, and patient care. Traditional diagnostic approaches rely on a single modality, such as clinical assessments, neuroimaging, or genetic markers, which may fail to capture the complex, multifaceted nature of AD. Multimodal learning has therefore been explored to integrate complementary information across data sources. However, conventional fusion strategies, including early feature concatenation and late decision-level fusion, often model modalities independently and fail to capture high-order cross-modal interactions. To address these limitations, we propose a multimodal tensor fusion network (MTFN) that integrates heterogeneous data sources, including visual …

Butte Priority Soils Operable Unit Diggings East Final 95% Remedial Design Package Submittal, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Research Review: "Understanding Women’S Transitions From Military To Department Of Veterans Affairs Care", Institute For Veterans And Military Families At Syracuse University

Institute for Veterans and Military Families

Over the past two decades, increasing numbers of women have served in the military, with women now comprising 17.3% of active-duty personnel and 21.4% of National Guard and reserves. During military service, women often incur painful musculoskeletal (MSK) injuries related to carrying heavy loads and wearing ill-fitting gear. While women may receive initial care for these injuries under the auspices of the Department of Defense (DoD), these injuries often linger and further treatment in required as women transition to Department of Veterans Affairs (VA) care. However, little is known about this transition process, and whether women are given adequate information …

Engagement Patterns With #Naturalremedies On Tiktok: Formative Analysis, Apeksha Mewani, Corey H. Basch, Keanu Renne-Glover, Vincent Jones Ii, Cristiana Cordero, Adea Gutiqi

Publications and Research

This research letter provides formative evidence from a cross-sectional analysis of 118 TikTok videos under #NaturalRemedies, identifying content formats and expertise cues associated with higher engagement, while also demonstrating the feasibility of using engagement metrics and thematic coding to analyze health narratives on emerging platforms such as TikTok.

Bio 230 - Microbiology, Sarah Moroianu

Open Educational Resources

This open educational resource (OER) syllabus is designed for BIO 230: Microbiology at Lehman College, City University of New York (CUNY), a single-semester introductory microbiology course for non-biology majors such as Nursing, Dietetics, Health Education, and Physical Education. The course reviews microbial structure, metabolism, genetics, and microbial ecology, with applied emphasis on infectious disease, antimicrobial drugs, host immune defenses, and microbial diseases. The syllabus aligns course content with the freely available OpenStax Microbiology textbook (Parker et al., CC BY 4.0) and reflects accessibility best practices consistent with CUNY guidelines.

The Bg News March 25, 2026, Bowling Green State University

BG News (Student Newspaper)

The BGSU campus student newspaper. March 25, 2026. Volume 105-Issue 22.

Spartan Daily, March 25, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 27

In Vitro And In Silico Evaluation Of Calcined Chicken Eggshell Powder As An Antibacterial Agent Against Staphylococcus Aureus, Hadi Kurniawan, Hariyanto Ih, Fajar Nugraha, Siti Nani Nurbaeti, Inarah Fajriaty, Ardi Kurniawan, Ridho Maulana Difa

Makara Journal of Science

Staphylococcus aureus is a major Gram-positive pathogen that is increasingly resistant to antibiotics, significantly contributing to antimicrobial resistance (AMR)-related deaths. Therefore, this study aimed to examine the antibacterial activity of calcined chicken eggshell powder (CCEP), a waste-derived material rich in calcium compounds. CCEP was prepared by calcining eggshell powder at 900 °C for 3 hours. Its antibacterial potential was evaluated using in vitro assays, including agar disc diffusion and broth microdilution, as well as in silico molecular docking against penicillin-binding protein 4 (PBP4, PDB ID: 3HUM). The in vitro results showed that a 20% (w/v) CCEP solution in glycerol produced …

Leveraging Feature Fusion And Convolutional Neural Networks For Concrete Crack Prediction, Amal Abdulbaqi Maryoosh, Saeid Pashazadeh, Pedram Salehpour

Baghdad Science Journal

Detection of cracks in concrete is crucial for the safety of bridges and the overall infrastructure. This paper presents a new hybrid method that combines handcrafted and deep features to significantly improve classification accuracy. Texture and semantic information are captured using Local Binary Patterns (LBP) and a pre-trained Xception model, respectively. These features are converted by the Bag of Visual Words (BoVW) method, combined, and the best features are selected by using the Apriori algorithm. The selected features are classified utilizing the light MobileNetV3, a large network. Our method is tested on four public datasets, namely CODEBRIM, DIMEC, Crack, BCD, …

Using The Karush-Kuhn-Tucher Optimization Method On A Finite Fuzzy Markov Chain, Marwan S. Jameel, Zeiad Yahya Ali Allawee, Rana Z Al-Kawaz, Sura J Hussein

Baghdad Science Journal

It is highly interesting to explore the implications of Markov chain stability because its importance in engineering, dynamic systems, energy subject and decision-making issues. This paper deals with a method to assess the stability of Markov chains, finishing our notes in finite fuzzy Markov chains. The optimization of KKT was evaluated in two approaches: a. For one thing, optimized KKT methods substitute the random transition probability with a fuzzy value in the transition matrix. The problem illustrates the efficacy of method in proving the unique properties for power bounds of a 3 × 3 matrix depending where on this it …

New Statistical Distribution Smart1, Saad Naji Al-Azzawi, Mahmood A. Shamran, Aseel H. Ali

Baghdad Science Journal

This paper introduces a new nonclassical statistical distribution, SMART1, derived from a nonpolynomial function. This function is used in ecology to model population growth rates, in medicine to classify the relationship between activity and tumor volume in cancer, and in economics to analyze the relationship between supply and demand. The proposed distribution differs from the Gompertz distribution, which is fundamentally based on the exponential function. By contrast, the SMART1 distribution is constructed on principles of mathematical analysis, specifically through the identification of local maximum endpoints of the Gompertz growth function and the subsequent verification that the resulting function satisfies the …

Dual Focus Attention Block Unet (Dfab-Unet) For Robust Skin Lesion Segmentation, Fallah H. Najjar, Farhan Mohamed, Mohd Shafry Mohd Rahim, Diana Sofia De Oliveira Bernardo, Luís Filipe Almeida Bernardo, Vei Siang Chan

Baghdad Science Journal

Skin cancer is the most fatal type of cancer worldwide. Prognosis is generally much better with early detection and effective treatment relies on an accurate diagnosis of skin lesions. Despite progress in deep learning, there is still a challenge to provide accurate segmentation of dermoscopic skin lesions due to image variations stemming from different illuminative input parameters, different resolutions/image sizes, image artifacts and varying skins. These differences hinder state-of-the-art models from learning pixel-precise lesion boundaries or more contextual features, consequently impairing their generalization and clinical applicability. We introduce a new architecture called Dual Focus Attention Block UNet (DFAB-UNet) with intrinsic …

Evaluation Of Nurses' Leadership Self-Efficacy In Belize, Ruth Rosalee Reina Jones

Walden Dissertations and Doctoral Studies

Nursing leadership in Belize is lacking but crucial to the well-being of patients, families, and the healthcare team. The purpose of this non-experimental, descriptive, comparative study was to a) determine the difference in leadership self-efficacy for current nurse leaders with three years or less of leadership experience compared to current nurse leaders with more than three years of leadership experience in Belize, and b) examine the differences in leadership self-efficacy between nurses in a leadership position and nurses not in a leadership position in Belize. The theories supporting the study were Burns’ transformational leadership theory and leadership self-efficacy, based on …

The Use Of Artificial Intelligence For Innovation In The Public Procurement System, Karem Sayed Aboelazm, Khalid Mohamed Dganni, Fady Tawakol, Raghda Raafat

All Works

Public procurement represents a substantial share of national economies and is increasingly shaped by the deployment of artificial intelligence (AI). The research problem addressed in this study concerns how AI can be integrated into public procurement systems without undermining core principles of transparency, accountability, and legality. The purpose of the paper is to examine the transformative potential of AI in public procurement while identifying the legal, institutional, and ethical challenges it generates. Methodologically, the study adopts a comparative analytical approach based on procurement laws, government reports, and peer-reviewed scholarship, focusing on the United Arab Emirates (UAE), Estonia, and South Korea. …

Silver Bow Creek Conservation Area (Sbcca) – Revised 95% Programmatic Technical Specifications Submittal, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Comparative Analysis Of Clearing Methods For 3d Imaging Of The Vasculature In Mineralized Mouse Tissues, Azeez O Ishola, Athira Pillai, Taeyong Ahn, Re-Join Consortium, Chih-Wei Hsu, Brendan Lee, Nele Haelterman, Joshua D Wythe

Faculty, Staff and Students Publications

Historically, visualization of vascular networks within the musculoskeletal system, particularly in mineralized tissues such as bones and joints, has been limited to conventional 2D histological approaches. Recent advances in optical tissue clearing technologies and fluorescence imaging approaches in whole, intact tissues offer an entrée to interrogate the vasculature at unprecedented resolution during both musculoskeletal development and in pathologic contexts in three dimensions. However, these clearing techniques were originally not developed for imaging hard mineralized tissues, such as the femur and tibia. Herein, we have optimized tissue decalcification conditions and compared aqueous- and solvent-based tissue clearing approaches to establish an optimal …

Translating Multi-Omics Into Healthcare: Requisites For Scalable And Equitable Implementation, Birute Tumiene, David R Adams, Robert Allaway, Maria J Barrero, Chun-Hung Chan, Víctor Faundes, Vanessa S Fear, Polina Glezer, Claudia Fuchs, Tudor Groza, Elisa J F Houwink, Saumya Shekhar Jamuar, Mary Catherine V Letinturier, Richa Madan Lomash, Ratna Dua Puri, Juergen K V Reichardt, Ruty Mehrian-Shai, Francois H Van Der Westhuizen, Gaurav K Varshney, Shinya Yamamoto, Gareth Baynam

Faculty, Staff and Students Publications

Multi-omics in combination with advanced computational methodologies synthesizes diverse omics data to provide deeper insights into molecular interactions and offers transformative potential for unravelling phenomenon behind disease complexities, improving diagnostics, disease prevention, and personalized treatments. This integrative strategy enables our understanding of gene-environment relationships, chronic disease progression, and the intricate molecular pathways involved in health. Effective multi-omics analyses require robust data sharing, accessibility, interoperability, and governance, which are critical for linking genomic elements to phenotypic traits. The Global Alliance for Genomics and Health advocates for responsible data-sharing practices, by promoting key principles such as transparency and equity. By emphasizing a …

Incidence Of Autoimmune Diseases In Children With Atopy Treated With Dupilumab, Stanislaw J Gabryszewski, Kathryn Hirabayashi, Morgan Botdorf, Mitchell Maltenfort, Christopher B Forrest, Theresa W Guilbert, Madeline Schutt, Hiroki Morizono, Gerardo Vazquez Garcia, Anna Cristina Garza-Mayers, Joseph Demetrius Hernandez, Sara Anvari, Suchitra Rao, Jonathan M Spergel

Faculty, Staff and Students Publications

Background: The type 2 inflammation-blocking agent dupilumab has gained traction as an effective treatment of multiple atopic diseases. New-onset autoimmune manifestations have been infrequently reported in dupilumab-treated atopic patients, primarily among adults. Autoimmune outcomes in atopic children on dupilumab are less clear.

Objective: We aimed to determine if dupilumab treatment of atopic children is associated with increased autoimmune or autoinflammatory disease diagnosis risk.

Methods: Using a multi-institutional electronic health record database composed of 10 PEDSnet academic health systems, we performed a retrospective cohort study of children aged 6-17 with atopy (ie, moderate-to-severe atopic dermatitis and/or persistent asthma, as defined by …

Residual Risk Of Hyperkalemia Among Patients With Heart Failure Treated With Both Sglt2i And Arni, Stephen J Greene, Shachi Patel, Khaja Chinnakondepalli, Stefan D Anker, Michael Böhm, Biykem Bozkurt, Javed Butler, John Gf Cleland, Andrew J Coats, Nihar Desai, Victoria Donachie, Ellie Kelepouris, Giuseppe Rosano, Carla-Maria Brandes, Andrew J Sauer

Faculty, Staff and Students Publications

No abstract provided.

Net Benefit Of Surveillance Varies By Hepatocellular Carcinoma Risk In Patients With Cirrhosis, Akash Patel, Elena Gavrila, Sruthi Yekkaluri, Yujin Hoshida, Ruben Hernaez, Amit G Singal

Faculty, Staff and Students Publications

Background: The risk of hepatocellular carcinoma (HCC) and net benefit of surveillance may differ between patients with cirrhosis. We compared the benefits and harms of HCC surveillance across risk strata in patients with cirrhosis.

Methods: We leveraged a cohort of patients with cirrhosis from a pragmatic RCT of HCC surveillance outreach enrolled between March 2018 and April 2021. Patients were stratified into low-, intermediate-, and high-risk categories based on published thresholds for three validated clinical risk scores. We calculated HCC incidence rates and moderate-to-severe physical harms for each risk stratum.

Results: Of 2142 patients with cirrhosis followed for a median …

K2p Channels As Key Regulators Of Cardiovascular And Pulmonary Vascular Function, Hala Y Abdelnasser, Xinchun Pi, Lavannya M Pandit, Bradley K Mcconnell

Faculty, Staff and Students Publications

Two-pore domain potassium (K2P) channels are the most recently identified family of potassium channels. They are regarded as the largest group of background “leak” channels, encoded by 15 mammalian KCNK genes, and divided into six subfamilies (TWIK, TREK, TASK, TALK, THIK, and TRESK). These channels have a role in stabilizing the resting membrane potential. Their widespread presence in the heart and vasculature supports cellular homeostasis by regulating cardiac rhythm, vascular tone, and protection against ischemic stress. The TASK, TWIK, and TREK subfamilies are the most abundantly expressed K2P channel subfamilies in the cardiovascular system, and dysregulation of specific members has …

Low-Proliferative Invasive Mucinous Carcinoma Of The Breast In An Octogenarian: A Case Report Highlighting Pathology-Guided De-Escalation, Rae-Anne Kastle, Christopher M. Ahmad, Rachana Tadakamalla, Hima Patel, Amer Abboud

Student Publications

Invasive mucinous carcinoma (IMC) is an uncommon histologic subtype of breast cancer characterized by abundant extracellular mucin and generally indolent behavior. It occurs more frequently in older women and is often associated with favorable prognostic features. An 84-year-old woman with no prior history of breast malignancy was found to have a suspicious lesion in the upper outer quadrant of the left breast on routine imaging. Ultrasound-guided core needle biopsy demonstrated IMC, Grade I/III, involving all four cores, with the largest contiguous tumor focus measuring 1.3 cm. Immunohistochemistry showed strong estrogen receptor positivity (95%), progesterone receptor positivity, human epidermal growth factor …

Mdm4 At The Crossroads: Beyond P53 And Mdm2., Dipesh Thapa, Allison St John, Alejandro Parrales, Atul Ranjan, Tomoo Iwakuma

Manuscripts, Articles, Book Chapters and Other Papers

MDM4 (Murine Double Minute 4), also known as MDMX, is a crucial negative regulator of the tumor suppressor p53. MDM4 heterodimerizes with MDM2 to enhance MDM2-mediated ubiquitination and degradation of p53, thereby promoting tumorigenesis. Beyond its canonical role in inhibiting p53 activity, recent studies have revealed diverse p53-independent functions. MDM4 interacts with various proteins, including p73, E2F1, casein kinase 1α, PPARα, and TRIM21 to regulate cell cycle progression, β-catenin-mediated pre-leukemic progression, and ferroptosis independent of p53. In addition, MDM4 functions independently of both p53 and MDM2 by interacting with proteins, such as SMAD family members 3/4, retinoblastoma protein (pRB), p21, …

Phyllis Alston V. Thomas Jefferson University Hospitals

2026 Decisions

USDC for the Eastern District of Pennsylvania

Atrial Fibrillation In Athletes: Mechanisms, Management, And Future Directions, Ibrahim Alameh, Ghina Al Fout, Michael D. Ezekowitz, Mohammed Kamareddine

Department of Medicine Faculty Papers

BACKGROUND: High-volume endurance training may shift exercise from cardioprotective to arrhythmogenic, increasing the risk of atrial fibrillation (AF) in healthy athletes.

CASE SUMMARY: A 38-year-old marathon runner with a 15-year history of high-intensity endurance training presented with episodic palpitations and reduced athletic performance. Electrocardiogram showed paroxysmal AF; echocardiography revealed mild left atrial enlargement without structural heart disease. Symptoms worsened during the recovery phase after runs, suggesting vagally mediated AF. After unsuccessful flecainide therapy, he underwent pulmonary vein isolation. Twelve months later, he remained free of recurrent AF on Holter monitoring and successfully resumed endurance training following an 8-week recovery period. …

Examining The Bioethanol Yield Potential Of Varying Ratios Of Jicama (Pachyrhizus Erosus) And Footstool Palm (Saribus Rotundifolius) Stalk, Luke Gabriel R. Mara, Sasha Marie C. Haresco, Alyssa Shane M. Arro, Shalemar O. Baldoza, Raphael Carlos V. Bunga, Rica Michaela G. Dosal, Angela A. Garan, Keona Denise C. Marquez, Isabelo Raphael M. Siguenza, Kristoff Isaiah R. Soreta, Kian Stephen Torrijos, Marionne Lorraine R. Valdez, Sky Lance S. Valiente, June Ray O. Filler

DLSU Senior High School Research Congress Conference Proceedings

This study aimed to examine the bioethanol yield potential of varying ratios of Jicama (J) and Footstool Palm Stalk (FPS). The prototype used a mixed feedstock approach and was developed using the Separate Hydrolysis and Fermentation (SHF) method to extract and ferment sugars to produce ethanol. The study measured bioethanol yields by employing a posttest-only controlled group design consisting of a negative control group and three experimental groups. The results demonstrated that Experimental 3 exhibited the highest average initial sugar yield (3.71g), while the Negative Control showed the lowest average initial sugar (1.5g), showing the high sugar potential of Experimental …