Digital Commons Network^™

Nurses' Contributions To Zero Hunger: An Integrative Review, Janice Evans Hawkins, Beth Tremblay, Roy E. Brown

Biennial Convention (CONV)

Background: Hunger, or food insecurity, is a growing problem globally and contributes to disproportionally higher mortality and morbidity rates, particularly within vulnerable populations. As frontline healthcare workers, the daily work of nurses is critical to meeting social and environmental needs of health, such as hunger. Yet, to date, there is no comprehensive review of the literature that examines nurse-involved research related to food insecurity.

Purpose: The purpose of this integrative review was to synthesize findings of nurse-involved observational and interventional studies that address food insecurity.

Methods: We conducted a systematic search of multiple databases for peer-reviewed literature from inception through …

Awareness Of Non-Verbal Communication For Safety In Mental Health Nursing Students, Sheryl Cornelius

Biennial Convention (CONV)

Preparing nursing students for clinical in the Mental/Behavioral Health field is always challenging. Students are often fearful of the experience which narrows their opportunities for learning in the clinical setting. One pre-licensure baccalaureate program in the South East United States (SE US) sought to elay some of those fears through preparation techniques before the clinical experience. One of the techniques was an increase in the awareness of Non-Verbal Communication in clients as to allow the student to be prepared for potential violence.

The students were first given a pre-clinical questionaire to see where their baseline was with knowledge and attitudes …

Quality Of Life Of Young Adults Living With Chronic Kidney Disease At A Tertiary Hospital In Ghana, Gloria Achempim-Ansong, Menford Owusu Ampohah, Ramatu Tanko Adams

Biennial Convention (CONV)

Globally, Chronic kidney disease (CKD) is highly prevalent (10-13% of the population), irreversible, progressive, and associated with higher cardiovascular risk. The diagnosis of End Stage Renal Disease (ESRD) is still a death sentence in sub-Saharan Africa (SSA). In Ghana, some patients with moderate to advanced CKD eventually progress to end-stage renal disease and have poor quality of life (QOL). Attempts to lower the morbidity and mortality of kidney disease may be thwarted by rising economic and health inequities, migration, demographic change, unsafe working conditions, environmental risks, natural disasters, and pollution. Young adults perform worse than younger adolescents do or older …

Lgbt Healthcare Access Experiences - “I Had A Doctor Who Literally Tried To Kill Me", Austin Nation

Biennial Convention (CONV)

PURPOSE: The purpose of this project is to: (a) explore the current experiences and needs of the lesbian, gay, bisexual, and transgender (LGBT) population when accessing healthcare services. LGBT individuals are known to experience adverse situations when accessing health care services.

METHODS: Qualitative focus groups were conducted with members of the LGBT community utilizing a cross-sectional convenience sample from two organizations serving the LGBT community. Analysis was done to examine themes and to look for differences and similarities within and between LGBT sub-populations.

RESULTS: Three themes emerged from the analysis including: issues accessing LGBT providers, need for LGBT competency and …

Impact Of A Design Thinking Workshop On Students' Knowledge, Confidence, And Perceived Benefits, Janice Evans Hawkins, Beth Tremblay, Robert Joseph Hawkins

Biennial Convention (CONV)

Background: Design Thinking is gaining recognition as an innovative and creative approach to problem solving. Though nurse leaders need problem solving tools to address health care challenges, Design Thinking concepts are not commonly taught in nursing education. To introduce graduate level nursing students to Design Thinking, we held an educational activity focused on this content as part of required coursework.

Purpose: The purpose of this presentation is to describe and compare outcomes of a Design Thinking educational activity on students' perceived knowledge, confidence, and benefits to nursing practice.

Methods: Graduate level nursing students participated in a 3-hour educational activity. After …

The Nurses Climate Challenge For Sigma Chapters: Our Calling ~ Our Climate!, Daria Waszak, Kathy Burlingame, Michelle Dephillips, Kelly A. Kuhns, Michelle Y. Gilbert

Biennial Convention (CONV)

Background: As a trusted voice, nurses are in an opportune position to advocate for climate action and its related impacts on health. However, many curricula lack focus on the effects of climate change on health. The Nurses Climate Challenge, a campaign of the Alliance of Nurses for Healthy Environments (ANHE) and Healthcare Without Harm, was launched in 2018 to provide turnkey resources for nurses to influence climate and health. Connecting Sigma and this important initiative creates an opportunity to amplify to more than 600 chapters and 100,000 nurse members globally - across homes, nursing schools and healthcare organizations across the …

Empowering Nursing Education With Generative Ai And Freire’S Critical Pedagogy, Kechi Iheduru-Anderson, Chimezie Agomoh, Julia U. Ugorji

Biennial Convention (CONV)

Purpose: This abstract explores integrating Generative AI tools, such as ChatGPT, with Paulo Freire's critical pedagogy in nursing education. It aims to demonstrate how this intersection can foster critical thinking, student empowerment, and ethical awareness, ultimately transforming the way nurses are educated.

Background: Generative AI technologies are increasingly used in nursing education to create personalized learning experiences and simulate real-world healthcare scenarios. However, there is a risk of reinforcing passive learning models without a solid pedagogical framework. Freire's critical pedagogy, which emphasizes dialogue, reflection, and praxis (action based on reflection), offers a robust framework to ensure that students remain active …

Interprofessional Team Training: In-Person Or Online, Does The Learning Environment Matter?, William E. Somerall Jr., Allison Shorten, Peter E. Bosworth, Shelly E. Camp, David T. House, Brett E. Shorten, Penni Watts, Tera L. Webb

Biennial Convention (CONV)

Interprofessional education (IPE) prepares students from different health professions to work collaboratively within interprofessional care teams. Based on a post-event survey, this presentation compares student experience and satisfaction with an in-person experience with an online experience.

In the decade before the COVID-19 pandemic, over 4000 graduate and undergraduate students from an urban medical educational institution including nursing, medicine, dentistry, optometry, physical therapy, social work, nutrition, pharmacy, occupational therapy, laboratory science, public health, and physician assistants participated in a half-day in-person Interprofessional Team Training (IPTT) event. Following the presentation of a simulated patient in a large auditorium, 15-18 groups of 20-25 …

Early Laser For Burns Scars (Elabs): A Qualitative Exploration, Vanessa Heaslip, Sharon Dochety, Shelley Rhodes, Obioha Ukoumunne, Katie Breheny, Kate Attrill, Jonathon Pleat, Mark P. Brewin

Biennial Convention (CONV)

Burns are a global public health issue. Due to improvements in burn management, mortality rates are reducing, resulting in burns being a leading cause of morbidity globally (WHO 2023). Up to 70% of patients develop hypertrophic scars after burns (Finnerty et al., 2016) as well as other associated physical (itching, pain, tightness and limited joint mobility) and psychological complications (low mood, anxiety and PTSD). These complications have a significant impact upon the individual’s quality-of-life which Finnerty et al., (2016) argues is the greatest unmet challenge in burn rehabilitation. Current treatments for burn scar management include moisturisation, silicone gel, pressure therapy, …

Design And Delivery Of Trump Accounts: Clearing Fund And Custodian Network With Automatic Enrollment, Jin Huang, Michael Sherraden

Center for Social Development Research

Enacting legislation established the federal Trump Accounts policy and directed the U.S. Treasury Department to implement it. Drawing upon insights and evidence from Child Development Account research conducted by the Center for Social Development and others, this brief proposes a two-step strategy for the policy’s implementation: (a) a clearing fund and custodian network and (b) a three-pathway automatic-enrollment system. The brief details the proposal and discusses its implications.

Student Field Research Grant Info-Session, Latin American & Iberian Institute

LAII Events

The Field Research Grant (FRG) is available to graduate and professional students to conduct preliminary, hands-on field research in Latin America. Awards cover round-trip airfare, lodging, a per diem, and may include in-country expenses. FRG supports research in the Spanish and Portuguese speaking countries of Latin America. Research in Spain and Portugal will not be funded.

The deadline to apply is Wednesday, March 26, 2026, by 11:59 pm. Learn more and apply on our website. If you have questions please contact Lenny Ureña Valerio at [email protected].

Research On Vehicle Path Optimization Algorithms For Urban Logistics And Distribution, Zhenpeng Ma, Hanyang Jiao, Zhe Zhang, Cheng Liu, Bo Jiang, Lin Wang

Journal of System Simulation

Abstract: Existing optimization algorithms for solving the vehicle routing problem with time windows (VRPTW) are prone to fall into local optimal solutions and have slow convergence speed. To address this issue, a K-means clustering algorithm and improved large neighborhood search algorithm (K-means-ILNSA) was proposed. A strategy of clustering before optimization was adopted, and the K-means algorithm was adopted to group the customers to be delivered, so as to improve the optimization efficiency. The genetic algorithm was adopted to optimize each group of customers generated by clustering separately to initially plan the distribution routes. The large neighborhood search (LNS) algorithm was …

Bayesian Network Parameter Learning Based On Ahp-Dst Fusion Of Expert Prior Knowledge, Haiyang Chen, Hongkai Lin, Zhifang Ren, Jing Liu, Jing Zhang

Journal of System Simulation

Abstract: Aiming at the problem of low accuracy of BN parameter learning due to the uncertainty of a single expert prior knowledge under the condition of small sample data set, a BN parameter learning method based on AHP-DST fusion expert prior knowledge was designed. The synthetic prior knowledge of experts was calculated by using the thought of analytic hierarchy process combined with the rules of evidence theory synthesis. The expert comprehensive prior knowledge was added to the normal distribution and combined with the monotonicity constraint to obtain the virtual sample information. The virtual sample information was added to the Bayesian …

Self-Calibrating Passenger Flow Simulation And Spatial Optimization For Public Building Based On Gru-Sa, Jinglin Xu, Qianru Chen, Yang Peng, Fangqiang Yu

Journal of System Simulation

Abstract: Real-time and precise passenger flow simulation provides critical data support for the optimal allocation of resources in public building facilities and the rational design of spatial layouts. This study proposed a self-calibrating passenger flow simulation and spatial optimization method for public buildings based on the GRU-simulated annealing algorithm. A simulation model incorporating spatial structures and flow lines was constructed using Anylogic. A self-calibrating passenger flow simulation method for public buildings was designed based on the GRU-simulated annealing algorithm and applied to the outpatient department of a hospital in Shanghai for passenger flow simulation. The effectiveness of the method was …

Image Feature Point Matching Algorithm Based On Attention And Hierarchical Features, Na Chen, Jiajia Bai, Qiyin Zhou, Jialin Li

Journal of System Simulation

Abstract: Feature point detection and matching is one of the core technologies in the field of intelligent driving. Aiming at the lack of consistency and continuity of feature points extracted by the existing algorithms, as well as the problem of easily ignoring the contextual semantic information when matching, this paper proposes an image feature point matching algorithm based on attention and hierarchical features (AHMF). In the feature point detection stage, differential interaction attention module (DIAM) is proposed to enhance the model's attention to the salient regions so as to improve the robustness of the feature points; further introduction of hierarchical …

Estimated Impact Of 2022–2023 Influenza Vaccines On Annual Hospital Burden In The United States, Kaiming Bi, Shraddha Ramdas Bandekar, Anass Bouchnita, Annalise Cramer, Spencer J Fox, Rebecca K Borchering, Matthew Biggerstaff, Lauren Ancel Meyers

Faculty, Staff and Student Publications

During the COVID-19 pandemic early years, infection prevention measures suppressed transmission of seasonal influenza and other respiratory viruses. The early onset and moderate severity of the US 2022-2023 influenza season may have resulted from reduced use of nonpharmaceutical interventions or lower population immunity after 2 y of limited influenza virus circulation. We used a mathematical model of influenza virus transmission that incorporates vaccine-derived protection against both infection and severe disease to estimate the impact of influenza vaccines on healthcare burden. Assuming reported levels of past vaccine effectiveness (VE) against infection and hospitalization, we estimate that influenza vaccines prevented 69,886 (95% …

Outlaws Annual Charity Raffle And Friendsgiving Dinner, Outlaws

Student Organizations

Tuesday, November 18, 2025

Advancing Herbal Medicine: The Role Of Nanosomal Technology In Treating Skin Diseases, Pedro Anugerah Aswan, Baitha Palanggatan Maggadani, Wilzar Fachri, Raditya Iswandana

Pharmaceutical Sciences and Research

Herbal medicine has become popular worldwide, especially in developing countries, with around 80% of the population opting for herbal treatments. The perceived benefits of natural remedies, such as affordability and fewer side effects, drive this trend. Herbal therapies effectively manage skin diseases, infections, and common ailments. However, the absorption of bioactive compounds in herbal extracts is often limited. Recent developments in nano-based herbal delivery systems, like nanosomal, show promise in enhancing the efficacy of herbal remedies for topical applications, providing improved solubility, stability, and skin penetration. This review describes various nanosomal studies developed and successfully used to enhance the topical …

Efficacy And Safety Of Glibenclamide Compared With Insulin In Gestational Diabetes Mellitus: A Systematic Review And Meta-Analysis, Alifia Fauziyyah Haifa, Khairunnisa Qomariyanti, Ratu Ayu Dewi Sartika, Rani Sauriasari

Pharmaceutical Sciences and Research

Gestational diabetes mellitus (GDM) is a prevalent pregnancy complication associated with an increased risk of maternal and neonatal complications compared with non-diabetic pregnancies. Pharmacological treatments, such as glibenclamide, are expected to provide optimal glycemic control and reduce these risks. However, concerns regarding its safety persist and some regulatory agencies have not approved glibenclamide for GDM treatment. This systematic review and meta-analysis aimed to synthesize the most recent evidence on the efficacy and safety of glibenclamide compared with insulin in the management of GDM, with a focus on maternal and neonatal outcomes based on the most recent RCT. The objective is …

Spartan Daily, November 18, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 36

The Impact Of Domed Architecture On The Architectural Character Of Western Desert Oases, Nader Mohamed Gharib, Mo’Men Abdelqader, Yousab Magdy Shafik

Mansoura Engineering Journal

The visual disharmony arising from the indiscriminate and architecturally unplanned integration of curved roofing elements, notably domes, into the built environment of the Western Desert oases has become a significant issue, particularly in the Siwa Oasis, where the adoption of domed architecture was first introduced in the village of Jafar in 1997. This research delves into a detailed study that focuses on how pivotal historical, cultural, environmental, aesthetic, functional, and technical factors have crucially shaped the widespread integration of these iconic curved roofing superstructures in the oases' architectural heritage over generations, contributing to the uniquely recognizable architectural character and sense …

Retinol Tracing Within Murine Neural Retina Reveals Cell Type-Specific Retinol Transport And Distribution, Zachary J Engfer, Grazyna Palczewska, Samuel W Du, Jianye Zhang, Zhiqian Dong, Carolline Rodrigues Menezes, Jun Wang, Jianming Shao, Budd A Tucker, Robert F Mullins, Rui Chen, Philip D Kiser, Krzysztof Palczewski

Faculty, Staff and Students Publications

11-cis-Retinal is essential for light perception in mammalian photoreceptors (PRs), and aberrations in retinoid transformations cause severe retinal diseases. Understanding these processes is crucial for combating blinding diseases. The visual cycle, operating within PRs and the retinal pigment epithelium (RPE), regenerates 11-cis-retinal to sustain light sensitivity. Retinoids are also present in Müller glia (MG), hypothesized to supply 11-cis-retinol to cone PRs and retinal ganglion cells (RGCs). To trace retinoid movement through retinal cell types, we used cell-specific knock-in of lecithin:retinol acyltransferase (LRAT), which converts retinols into stable retinyl esters (REs). Ectopic LRAT expression in murine PRs, MG, and RGCs resulted …

Accounting For Population Structure In Genomic Prediction Of Strawberry Sweetness At A Global Scale, Mulusew Fikere, Jason D Zurn, Sujeet Verma, Iraida Amaya, Pilar Muñoz, José F Sánchez-Sevilla, Helen M Cockerton, Richard J Harrison, Lise L Mahoney, Thomas M Davis, James F Hancock, Chad E Finn, Megan M Mathey, Jodi Neal, Hian-Lien Ko, Vance M Whitaker, Nahla V Bassil, Craig Hardner

Faculty, Staff and Student Publications

Genomic prediction models that fit multiple environments globally are valuable tools for assessing cultivar performance across diverse and variable growing conditions. We analyzed 2,064 strawberry (Fragaria × ananassa) accessions genotyped with 12,591 SNP markers. Soluble solids content (SSC) was measured in multi-year trials conducted at seven locations spanning the U.S., Europe, and Australia. Population structure analysis grouped accessions into two major clusters corresponding to subtropical and temperate origins, which was confirmed by significant differences in allele frequency distributions. To improve prediction accuracy across environments, we developed factor analytic models focusing on genotype-by-environment interactions rather than covariance between sub-populations. We compared …

Read The Data For Diverse Truths-And Quantitative Myocardial Perfusion Versus Angiography, Kenneth Lance Gould, Nils P Johnson

Faculty, Staff and Student Publications

No abstract provided.

Sex Differences In Atherosclerotic Coronary Artery Disease Patterns, Kazumasa Ikeda, Daniel Munhoz, Sofie Brouwers, Jeroen Sonck, Hitoshi Matsuo, Toshiro Shinke, Hirohiko Ando, Brian Ko, Simone Biscaglia, Fernando Rivero, Thomas Engstrøm, Ketina Arslani, Antonio Maria Leone, Domenico Galante, Lokien X Van Nunen, William F Fearon, Evald Høj Christiansen, Stephane Fournier, Liyew Desta, Andy Yong, Julien Adjedj, Javier Escaned, Masafumi Nakayama, Ashkan Eftekhari, Frederik M Zimmermann, Koshiro Sakai, Tatyana Storozhenko, Bruno R Da Costa, Gianluca Campo, Colin Berry, Damien Collison, Thomas Johnson, Tetsuya Amano, Divaka Perera, Allen Jeremias, Ziad Ali, Bernard De Bruyne, Frederic Bouisset, Takashi Kubo, Nobuhiro Tanaka, Kazuhiro Satomi, Nils P Johnson, Carlos Collet, Takuya Mizukami

Faculty, Staff and Student Publications

Background: Sex differences in coronary artery disease (CAD) have been increasingly recognized, as women present with distinct clinical characteristics and outcomes compared with men. This study investigated the impact of sex on pathophysiological CAD patterns (focal versus diffuse) in stable patients undergoing percutaneous coronary interventions (PCI).

Methods: We conducted a subanalysis of the PPG Global (Pullback Pressure Gradient Global Registry) study, a multicenter, prospective trial including 993 patients (236 [23.8%] women and 757 [76.2%] men) with hemodynamically significant CAD, defined as fractional flow reserve ≤0.80. The pullback pressure gradient metric categorized CAD patterns as focal or diffuse. Patient-reported outcomes were …

Vessel-Specific Myocardial Mass In Patients With Stable Coronary Artery Disease, Nikolaos Stalikas, Takuya Mizukami, Frederic Bouisset, Kazumasa Ikeda, Atomu Tajima, Daniel Munhoz, Thabo Mahendiran, Adriaan Wilgenhof, Koshiro Sakai, Bjarne Noorgard, Thomas Engstroem, Jonathon Leipsic, Giulio Stefanini, Antonio Bartorelli, Timothy Fairbairn, Alan Bagnall, Brian Ko, Nils P Johnson, Colin Berry, Divaka Perera, Evald Høj Christiansen, Toshiro Shinke, Hiromase Otake, Bon Kwon Koo, Emanuele Barbato, Salvatore Brugaletta, Damien Collison, Gianluca Campo, Eric Van Belle, Tommaso Goori, Lokien Van Nunen, Adam Witkowski, Patricio Astudillo, James Spratt, Tetsuya Amano, Hirohiko Ando, Georgios Sianos, Jeroen Sonck, Daniele Andreini, Bernard De Bruyne, Carlos Collet

Faculty, Staff and Student Publications

Background: Assessing the myocardial mass at risk is essential in evaluating patients with coronary artery disease. This study aims to establish reference values for vessel-specific myocardial mass derived from coronary computed tomography angiography, providing a quantitative assessment of the myocardial mass subtended by each epicardial vessel.

Methods: Left ventricular (LV) and vessel-specific myocardial mass were calculated from coronary computed tomography angiography using the Voronoi method in patients with stable coronary artery disease. Myocardial mass was quantified for each epicardial coronary artery with a diameter >1.5 mm.

Results: We included 948 patients with 9228 epicardial coronary artery branches. Mean age was …

Role Of Endoscopy In The Diagnosis And Management Of Esophageal Cancer, Jennifer Ma, Sharon Pan, Rachel Mortan, Faisal Shaukat Ali, Nirav Thosani, Vaibhav Wadhwa

Faculty, Staff and Student Publications

Esophageal cancer cases are predicted to reach 957,000 by 2040. Prior mortality rates average 6.5% in men and 2.2% in women, with a poor 5-year prognosis of 20%. A deficiency in screening guidelines, an incomplete understanding of pathophysiology, and limited treatment options contributed to this poor prognosis. Now, as technology and knowledge evolve, endoscopy serves a primary role in improving morbidity and mortality around esophageal cancer, in which early detection and treatment play a profound role. Advances in diagnostic modalities, including higher frequency ultrasound, acquisition of larger specimens, and nodal characterization, all improve esophageal cancer diagnostic accuracy and treatment planning. …

Wilf Impact Center Conversations | Labor And Employment Public Interest Panel | Discover Your Path In Labor And Employment Law, Wilf Impact Center For Public Interest Law

WILF Impact Center for Public Interest Law | Event Posters

Tuesday, November 18, 2025

Allergenai: A Deep Learning Model Predicting Allergenicity Based On Protein Sequence, Jiajia Liu, Surendra S Negi, Chengyuan Yang, Xiaobo Zhou, Catherine H Schein, Werner Braun, Pora Kim

Faculty, Staff and Student Publications

BACKGROUND: Innovations in protein engineering offer promising solutions for redesigning allergenic proteins to minimize adverse reactions in sensitive individuals. Earlier models for predicting allergenicity have relied on the knowledge of physicochemical properties and sequence homology to assess the potential risk. However, to better understand the allergenic proteins’ sequence features, we need a novel sequence-based deep learning model for predicting allergenicity.

RESULTS: We present a novel AI-based tool, AllergenAI, to quantify the allergenic potential of a protein’s sequence without using any other known features. Our study utilized allergenic protein sequence data archived in the three well-established databases, SDAP 2.0, COMPARE, and …

Using Machine Learning For Early Prediction Of In-Hospital Mortality During Icu Admission In Liver Cancer Patients, Zhuo Zheng, Jinhong Xia, Jiawei Luo, Lei Du, Xiaobo Zhou, Xiaoyan Yang, Yan Xia, Mengyao Liu, Shixin Huang

Faculty, Staff and Student Publications

Liver cancer has a high incidence and mortality rate globally, particularly in patients requiring intensive care unit (ICU) admission. Early prediction of in-hospital mortality for these patients is crucial, yet lacking reliable tools. This study aims to develop and evaluate machine learning (ML) models for predicting in-hospital mortality in critically ill liver cancer patients admitted to the ICU. This retrospective study used data from the MIMIC-III and MIMIC-IV databases, including 862 patients from MIMIC-III (training cohort) and 692 patients from MIMIC-IV (validation cohort). The study focused on patients diagnosed with liver cancer, identified by specific ICD codes. Four ML algorithms, …