Digital Commons Network^™

The Influence Of Teaching Digital Resources Of Myplate On Nutrition Knowledge, Attitudes, And Practice (Kap) For Healthy Eating Habits Of Children, Afaf Alsofyani

Electronic Theses and Dissertations

This study examines the influence of teaching digital resources of MyPlate on the nutrition knowledge, attitudes, and practices (KAP) related to healthy eating habits among first and second-grade students. A pre-and post-assessment of this quasi-experimental research study measured the baseline KAP levels of 45 participants regarding healthy eating habits. Students were divided into three groups: digital MyPlate (n =16), pencil-and-paper (n =15), and control (n =14). Following the pre-assessment, an intervention was conducted involving teaching MyPlate and the five food groups. A post-assessment was then implemented to measure the change in KAP levels resulting from the intervention. …

Pilz Domain-Containing Proteins Regulate Motility In Acinetobacter Baumannii, Gabriel Smith

Electronic Theses and Dissertations

Acinetobacter baumannii is an increasingly multidrug-resistant pathogen contributing to hospital-acquired infections, necessitating a greater understanding of how it interacts with its surroundings. Many bacteria utilize different methods of bacterial motility to move about and interact with these surroundings. A bacterial second messenger, cyclic diguanosine monophosphate (c-di-GMP), can regulate various motility factors that are potentially advantageous for survival in and adaptation to their environment. Concentrations of c-di-GMP are regulated by specific synthesizing and degrading enzymes. Controlled levels of c-di-GMP allow interaction between the c-di-GMP and its binding effectors that induce changes in bacterial phenotypes such as biofilm formation and motility. A …

Insulin Resistance In Women Correlates With Chromatin Histone Lysine Acetylation, Inflammatory Signaling, And Accelerated Aging, Christina Vidal, Jackelyn Alva-Ornelas, Nancy Zhuo Chen, Parijat Senapati, Jerneja Tomsic, Vanessa Myriam Robles, Cristal Resto, Nancy Sanchez, Angelica Sanchez, Terry Hyslop, Nour Emwas, Dana Aljaber, Nick Bachelder, Ernest Martinez, David Ann, Veronica Jones, Robert Winn, Lucio Miele, Augusto Ochoa, Eric Dietze, Rama Natarajan, Dustin Schones, Victoria Seewaldt

Kimmel Cancer Center Faculty Papers

BACKGROUND: Epigenetic changes link medical, social, and environmental factors with cardiovascular and kidney disease and, more recently, with cancer. The mechanistic link between metabolic health and epigenetic changes is only starting to be investigated. In our in vitro and in vivo studies, we performed a broad analysis of the link between hyperinsulinemia and chromatin acetylation; our top "hit" was chromatin opening at H3K9ac.

METHODS: Building on our published preclinical studies, here, we performed a detailed analysis of the link between insulin resistance, chromatin acetylation, and inflammation using an initial test set of 28 women and validation sets of 245, 22, …

Increased Risk Of Cutaneous T-Cell Lymphoma Development After Dupilumab Use For Atopic Dermatitis, Jenna Mandel, Jaanvi Mehta, Ramsay Hafer, Mahaa Ayub, Faria Nusrat, Henry Yang, Pierluigi Porcu, Neda Nikbakht

Department of Dermatology and Cutaneous Biology Faculty Papers

There have been several reports of dupilumab use and the development of CTCL; however, the risk of CTCL development has not been adequately evaluated at the population level. The objective of this study is to determine whether dupilumab administration for AD is associated with an increased risk of developing CTCL and to identify at-risk populations within this group. This retrospective cohort study used TriNetX, a deidentified medical record database including over 107 million patients, to identify eligible patients. Treatment and control groups were evaluated for the development of CTCL. Patients of any age with a documented diagnosis of AD were …

In This Issuereview Articleoriginal Articlecase Report

Saudi Medical Journal

No abstract provided.

The Protagonist Of Contemporary And Emerging Nanotechnology-Based Theranostics And Therapeutic Approaches In Reshaping Intensive Care Unit, Ling Xie, Yun Chen

Saudi Medical Journal

To maintain a clean and hygienic environment in the intensive care unit (ICU) is crucial for ensuring patient safety, preventing infections, and reducing healthcare-associated complications. With the increasing prevalence of infections and the emergence of viral and bacterial resistance to standard antiseptics, there is a pressing need for innovative antiseptic solutions. Nanotechnology is increasingly being employed in medicine, particularly focusing on mitigating the activities of various pathogens, including those associated with hospital-acquired infections. This paper explores the current impact of nanotechnology, with a particular focus on bacterial infections and SARS-CoV-2, which significantly strain healthcare systems, and then discusses how nanotechnology …

Identification Of Effective Diagnostic Genes And Immune Cell Infiltration Characteristics In Small Cell Lung Cancer By Integrating Bioinformatics Analysis And Machine Learning Algorithms, Yinyi Chen, Kexin Han, Yanzhao Liu, Qunxia Wang, Yang Wu, Simei Chen, Jianlin Yu, Yi Luo, Liming Tan

Saudi Medical Journal

Objectives: To identify potential diagnostic markers for small cell lung cancer (SCLC) and investigate the correlation with immune cell infiltration. Methods: GSE149507 and GSE6044 were used as the training group, while GSE108055 served as validation group A and GSE73160 served as validation group B. Differentially expressed genes (DEGs) were identified and analyzed for functional enrichment. Machine learning (ML) was used to identify candidate diagnostic genes for SCLC. The area under the receiver operating characteristic curves was applied to assess diagnostic efficacy. Immune cell infiltration analyses were carried out. Results: There were 181 DEGs identified. The gene ontology analysis showed that …

Specific Association Of Mthfd1 Expressions With Small Cell Lung Cancer Development And Chemoradiotherapy Outcome, Yujia Hao, Ruichun Lu, Ying Guo, Pengtao Bao

Saudi Medical Journal

Objectives: To identify biomarkers that can discriminated small cell lung cancer (SCLC) from non-SCLC (NSCLC), and explore their association with the prognosis of SCLC under chemoradiotherapy. Methods: The GSE40275 dataset was used to identify potential targets in SCLC. There were 196 patients of lung cancer (LC) in cohort 1 of this study. MTHFD1 levels in tissues were determined by immunohistochemistry assay in cohort 1. Lung cancer patients who were all underwent local chemoradiotherapy (CRT) were included in cohort 2, and the association of MTHFD1 levels with CRT treatment outcome were determined in cohort 2. Cell experiments were used to determine …

Assessment Of Ferritin And Lead Levels In Children Living In An Informal Urban Settlement In Kenya, Geoffrey Omuse, Daniel Maina, Maureene Ondayo, Stanley Onyango, Syama Sinuff, Alex Mugo, Pauline Samia, William Macharia

Pathology, East Africa

Background: Childhood lead exposure from recycling used lead-acid batteries (ULAB) in unregulated areas is a significant cause of lead toxicity, particularly in low and middle-income countries. This study aimed to assess the proportion of children with increased blood lead levels (BLLs) in an informal settlement where ULAB recycling occurs.

Methodology: This was a descriptive study conducted in Nairobi county, Kenya. Children aged 6 months to 7 years were recruited after obtaining written informed consent, completion of a questionnaire and collection of samples for complete blood count, ferritin, and lead analysis.

Results: Out of 215 children, 17 (8.0%) had BLLs ≥ …

Beliefs And Attitudes Regarding Schizophrenia Among Msw Students: An Exploratory Study, Nicole Dunlap

Electronic Theses, Projects, and Dissertations

Schizophrenia remains one of the most complex and stigmatized mental health conditions, impacting not only societal views but also the attitudes of healthcare professionals, including social workers. This study explores the beliefs and attitudes of Master of Social Work (MSW) students towards schizophrenia, identifying the factors that contribute to these perceptions and their potential impact on future professional practices. Using a mixed-method approach, the study surveyed MSW students from a California State University to assess their knowledge, stigma, and experiences related to schizophrenia. Quantitative data analysis revealed gaps in knowledge and persistent stigma among students, while qualitative responses highlighted the …

The Sustainable Sites Initiative As It Applies To Existing Parks In Logan Utah, Randall Smith

All Graduate Reports and Creative Projects, Fall 2023 to Present

The Intermountain West of the United States consists of a variety of climates and landscapes. Despite their diversity, all of these regions face similar issues, such as water shortage, lack of biodiversity, invasion of non-native plant species, land development, and population growth. The pursuit of sustainability has become imperative in order to meet the needs of the present, while simultaneously safeguarding the ability of future generations to meet their own needs. Many influential landscape architects have advocated for sustainable design; namely, Frederick Law Olmsted, Ian McHarg, and Laurie Olin. However, sustainability is used too often as a generic buzzword, diminishing …

N Y State Dent J August-September 2024

The New York State Dental Journal

In the August-September 2024 issue, the reader will find the following feature articles:

• Success of Implant Placement in Patients with Human Immunodeficiency Virus
• Effects of Mandatory COVID-19 Testing Policy on No-Show Rates for Aerosol-Generating Procedures
• Heterotopic Bone Formation after TMJ Surgery
• Rural Oral Health Access Disparities in New York State

This issue includes regular columns with regional news impacting the New York membership including editorial and perspectives columns, legal, association activities, component news, continuing education opportunities, and classifieds.

Differential Behavior Of Conformational Dynamics In Active And Inactive States Of Cannabinoid Receptor 1, Ugochi H. Isu, Adithya Polasa, Mahmoud Moradi

Chemistry & Biochemistry Faculty Publications and Presentations

Cannabinoid receptor 1 (CB1) is a G protein-coupled receptor that regulates critical physiological processes including pain, appetite, and cognition. Understanding the conformational dynamics of CB1 associated with transitions between inactive and active signaling states is imperative for developing targeted modulators. Using microsecond-level all-atom molecular dynamics simulations, we identified marked differences in the conformational ensembles of inactive and active CB1 in apo. The inactive state exhibited substantially increased structural heterogeneity and plasticity compared to the more rigidified active state in the absence of stabilizing ligands. Transmembrane helices TM3 and TM7 were identified as distinguishing factors modulating the state-dependent dynamics. TM7 …

Analyzing The Losses And Gains Of A Land Category: Insights From The Total Operating Characteristic, Thomas Mumuni Bilintoh, Robert Gilmore Pontius, Zhen Liu

Geography

This manuscript provides guidance concerning how to use the Total Operating Characteristic (TOC) when (1) analyzing change through time, (2) ranking a categorical independent variable, and (3) constraining the extent for a gaining category. The illustrative variable is the marsh land-cover category in the Plum Island Ecosystems of northeastern Massachusetts, USA. The data are an elevation map and maps showing the land categories of water, marsh, and upland in 1938, 1971, and 2013. There were losses and gains near the edge of the marsh between 1938 and 1972 and between 1972 and 2013. The TOC curves show that marsh gained …

Operators Based On Multiple Generalized Set-Valued Neutrosophic Quadruple Sets, Abdullah Kargın, Memet Şahin, Kübra Arıtı Şiğva

Neutrosophic Sets and Systems

In this study, as a generalized form of multiple valued neutrosophic numbers and neutrosophic quadruple numbers, multiple generalized set-valued neutrosophic quadruple numbers and sets are defined and their basic properties are given. Thus, a new structure is obtained in which multi-valued neutrosophic sets and neutrosophic quadruple sets are used together. Also, optimistic union, pessimistic union, average union, pessimistic intersection, optimistic intersection, average intersection operators are defined for multiple generalized set-valued neutrosophic quadruples. Thus, multiple generalized set-valued neutrosophic quadruple sets were made usable in decision-making applications. Researchers can obtain more objective results in decision making applications by using these operators.

Trf-Bwm-Neutrosophic-Topsis Strategy Under Svns Environment Approach And Its Application To Select The Most Effective Water Quality Parameter Of Aquaponic System, Pragnaleena Debroy, Priyanka Majumder, Surapati Pramanik, Lalu Seban

Neutrosophic Sets and Systems

The rapid emergence of aquaponics presents a promising solution for food production in arid regions, heavily reliant on maintaining optimal water quality parameters for overall success. However, monitoring and controlling these parameters can be complex and costly, involving numerous sensors and actuators. Focusing on the most significant parameter for fish growth could alleviate some of this complexity and promote sustainability by ensuring a balanced system. This study introduces a novel fuzzy-based Multiple Criteria Decision Making (MCDM) methodology, combining Trapezoidal Fuzzy with the Best Worst Method (BWM) and Neutrosophic-TOPSIS strategy, to identify the primary water quality parameters impacting fish growth. Through …

Total Domination In Uniform Single Valued Neutrosophic Graph, T. P. Sreelakshmi, K. Uma Samundesvari

Neutrosophic Sets and Systems

In graph theory, the neutrosophic graph is a new extension of the intuitionistic fuzzy graph and fuzzy graph. It offers greater accuracy and flexibility in scheduling and implementing numerous real-life issues. The introduction of neutrosophic graphs has opened up an excellent opportunity to portray real-world situations with incomplete and ambiguous information. These neutrosophic graph models are used in many industrial and scientific domains to simulate various problems. This article offers a new approach for calculating the total dominating set of a given single-valued neutrosophic graph using neutrosophic strong arcs. An example is illustrated for calculating the total dominating sets of …

Expression Of The Αvβ3 Integrin Affects Prostate Cancer Sev Cargo And Density And Promotes Sev Pro-Tumorigenic Activity In Vivo Through A Gpi-Anchored Receptor, Ngr2, Cecilia Verrillo, Fabio Quaglia, Christopher Shields, Stephen Lin, Andrew Kossenkov, Hsin-Yao Tang, David Speicher, Nicole Naranjo, Anna Testa, William Kelly, Qin Liu, Benjamin Leiby, Luca Musante, Khalid Sossey-Alaoui, Navneet Dogra, Tzu-Yi Chen, Dario Altieri, Lucia Languino

Department of Pharmacology, Physiology, and Cancer Biology Faculty Papers

It is known that small extracellular vesicles (sEVs) are released from cancer cells and contribute to cancer progression via crosstalk with recipient cells. We have previously reported that sEVs expressing the αVβ3 integrin, a protein upregulated in aggressive neuroendocrine prostate cancer (NEPrCa), contribute to neuroendocrine differentiation (NED) in recipient cells. Here, we examine the impact of αVβ3 expression on sEV protein content, density and function. sEVs used in this study were isolated by iodixanol density gradients and characterized by nanoparticle tracking analysis, immunoblotting and single vesicle analysis. Our proteomic profile of sEVs containing αVβ3 shows downregulation of typical effectors involved …

Psychological Science And Immigration Today: Apa Task Force Report On Immigration And Health, American Psychological Association, Alfonso Mercado, Amanda Venta, Dina Birman, German Cadenas, Gail Ferguson, Luz M. Garcini, Giselle A. Hass, Maryam Kia-Keating, William Martinez

Psychological Science Faculty Publications

The report emphasizes the importance of culturally competent mental health services and explores the impact of anti-immigration policies on mental wellbeing. In today’s climate in which immigration is often met with hostility, it is crucial that we, as researchers and mental health professionals, understand the unique challenges faced by immigrants and use this understanding to foster positive change. Together, we can better support the wellbeing and resilience of our immigrant communities by using psychological research to inform and advance practice and policy.

Proton Pencil Beam Scanning Facilitates The Safe Treatment Of Extended Radiation Targets For Hodgkin Lymphoma: A Report From The Proton Collaborative Group Registry, Matthew Hall

All Publications

Because proton beam therapy (PBT) can lower the dose of radiation to the heart, lungs, and breast, it is an established radiation modality for patients with Hodgkin lymphoma (HL). Pencil beam scanning (PBS) PBT facilitates the treatment of more extensive targets. This may be especially of value for lymphoma patients who require RT to both mediastinal and axillary targets, defined here as extended target RT (ETRT), given the target distribution and need to minimize the lung, heart, and breast dose. Using the Proton Collaborative Group registry, we identified patients with HL treated with PBT to both their mediastinum and axilla, …

Assessing The State Of Obesity Care: Quality, Access, Guidelines, And Standards, Lee M Kaplan, Caroline M Apovian, Jamy D Ard, David B Allison, Louis J Aronne, Rachel L Batterham, Luca Busetto, Dror Dicker, Deborah B Horn, Aaron S Kelly, Jeffrey I Mechanick, Jonathan Q Purnell, Ximena Ramos-Salas, Assessing The State Of Obesity Care Writing Group

Faculty, Staff and Student Publications

BACKGROUND: An international panel of obesity medicine experts from multiple professional organizations examined patterns of obesity care and current obesity treatment guidelines to identify areas requiring updating in response to emerging science and clinical evidence.

AIMS: The panel focused on multiple medical health and societal issues influencing effective treatment of obesity and identified several unmet needs in the definition, assessment, and care of obesity.

METHODS: The panel was held in Leesburg, Virginia in September 2019.

RESULTS: The panelists recommended addressing these unmet needs in obesity medicine through research, education, evaluation of delivery and payment of care, and updating clinical practice …

Eating Disorders And Oral Health: A Dental Professional's Role, Bree Zhang

The New York State Dental Journal

Eating disorders are more common than we think, affecting 9% of the world's population and increasing in prevalence each year. Research shows early intervention provides a greater chance of recovery. Dentists must be cognizant of signs their patients may be engaged in harmful eating behavior and be prepared to intervene.

Fatigue Performance Of 3d-Printed Poly-Lactic-Acid Bone Scaffolds With Triply Periodic Minimal Surface And Voronoi Pore Structures, Hamed Bakhtiari, Alireza Nouri, Majid Tolouei-Rad

Research outputs 2022 to 2026

Bone scaffolds serve a crucial role in tissue engineering, particularly in facilitating bone regeneration where natural repair is insufficient. Despite advancements in the fabrication of polymeric bone scaffolds, the challenge remains to optimize their mechanical resilience. Specifically, research on the fatigue behaviour of polymeric bone scaffolds is scarce. This study investigates the influence of pore architecture on the mechanical performance of poly-lactic-acid (PLA) scaffolds under quasi-static and cyclic compression. PLA scaffolds with a 60% porosity were fabricated using extrusion-based 3D printing in various designs: Gyroid, Lidinoid, Fischer–Koch, IWP, and Voronoi. Results demonstrated that Gyroid scaffolds had the highest compressive strength …

Positive Association Between Patients’ Perception Of Chronic Pain Rehabilitation As A Personally Meaningful Experience And The Flourishing Aspect Of Well-Being, Katrina J. Liddiard, Cary A. Brown, Annette J. Raynor

Research outputs 2022 to 2026

Chronic pain rehabilitation helps to reduce pain and restore valued life roles. Patients may have more positive outcomes when they perceive rehabilitation to be personally meaningful. This study examined associations between self-reported, personally meaningful rehabilitation and well-being. A pilot study was conducted using an online survey of people with chronic pain and experiences of rehabilitation. The PROMIS Pain Interference Short Form 8a and The Flourishing Scale were used to explore well-being. A modified self-report measure, the Meaningfulness in Rehabilitation Scale, was pilot-tested for construct validity and used in the survey. Of the 48 participants (81% female; 19% male), most attended …

Research Trends In Production, Separation, And Identification Of Bioactive Peptides From Fungi: A Critical Review, Tanvir Ahmed, Angéla Juhász, Utpal Bose, Netsanet Shiferaw Terefe, Michelle L. Colgrave

Research outputs 2022 to 2026

Fungal-derived bioactive peptides (BPs) are increasingly attracting significant academic and industry research interest due to their high-quality protein content and potential environmentally friendly credentials. Fungi encompass a diverse range of species, some of which remain underexplored with demonstrated the ability to synthesise complex peptides with unique and potent bioactivities. While some recent reviews have focused on fungal protein sources and BPs, there remains a knowledge gap in the technologies and methods used to produce, isolate, and identify BPs from various fungal species. This article critically evaluates the strengths, challenges, and future directions of the recent methods and technologies employed in …

Assessing Sarcopenia In Advanced-Stage Ovarian Cancer Patients Undergoing Neoadjuvant Chemotherapy: A Case Series, Christelle Schofield, Dennis R. Taaffe, Robert U. Newton, Daniel A. Galvão, Paul A. Cohen, Jin Soo Kim, Tarek Meniawy, Carolyn Peddle-Mcintyre

Research outputs 2022 to 2026

Objectives: In ovarian and other cancers, low muscle mass and density are associated with poorer clinical outcomes. However, screening for cancer-related sarcopenia (typically defined as low muscle mass) is not routinely conducted. The European Working Group on Sarcopenia in Older People (EWGSOP) recommends an algorithm for sarcopenia screening and diagnosis in clinical settings, with sarcopenia based on muscle strength and mass, and severity on physical performance. We explored the application of the EWGSOP2 algorithm to assess sarcopenia in six ovarian cancer patients receiving neoadjuvant chemotherapy. Methods: We assessed sarcopenia risk with the SARC-F screening questionnaire (at risk ≥4 points), muscle …

Chain-Of-Exemplar: Enhancing Distractor Generation For Multimodal Educational Question Generation, Haohao Luo, Yang Deng, Ying Shen, See-Kiong Ng, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Multiple-choice questions (MCQs) are important in enhancing concept learning and student engagement for educational purposes. Despite the multimodal nature of educational content, current methods focus mainly on text-based inputs and often neglect the integration of visual information. In this work, we study the problem of multimodal educational question generation, which aims at generating subject-specific educational questions with plausible yet incorrect distractors based on multimodal educational content. To tackle this problem, we introduce a novel framework, named Chain-of-Exemplar (CoE), which utilizes multimodal large language models (MLLMs) with Chain-of-Thought reasoning to improve the generation of challenging distractors. Furthermore, CoE leverages three-stage contextualized …

Interpretable Tensor Fusion, Saurabh Varshneya, Antoine Ledent, Philipp Liznerski, Andriy Balinskyy, Purvanshi Mehta, Waleed Mustafa, Marius Kloft

Research Collection School Of Computing and Information Systems

Conventional machine learning methods are predominantly designed to predict outcomes based on a single data type. However, practical applications may encompass data of diverse types, such as text, images, and audio. We introduce interpretable tensor fusion (InTense), a multimodal learning method training a neural network to simultaneously learn multiple data representations and their interpretable fusion. InTense can separately capture both linear combinations and multiplicative interactions of the data types, thereby disentangling higher-order interactions from the individual effects of each modality. InTense provides interpretability out of the box by assigning relevance scores to modalities and their associations, respectively. The approach is …

Topic Modeling On Document Networks With Dirichlet Optimal Transport Barycenter, Ce Zhang, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

Text documents are often interconnected in a network structure, e.g., academic papers via citations, Web pages via hyperlinks. On the one hand, though Graph Neural Networks (GNNs) have shown promising ability to derive effective embeddings for such networked documents, they do not assume a latent topic structure and result in uninterpretable embeddings. On the other hand, topic models can infer semantically interpretable topic distributions for documents by associating each topic with a group of understandable key words. However, most topic models mainly focus on plain text within documents and fail to leverage network structure across documents. Network connectivity reveals topic …

Reinforcement Nash Equilibrium Solver, Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An

Research Collection School Of Computing and Information Systems

Nash Equilibrium (NE) is the canonical solution concept of game theory, which provides an elegant tool to understand the rationalities. Though mixed strategy NE exists in any game with finite players and actions, computing NE in two- or multi-player general-sum games is PPAD-Complete. Various alternative solutions, e.g., Correlated Equilibrium (CE), and learning methods, e.g., fictitious play (FP), are proposed to approximate NE. For convenience, we call these methods as "inexact solvers", or "solvers" for short. However, the alternative solutions differ from NE and the learning methods generally fail to converge to NE. Therefore, in this work, we propose REinforcement Nash …