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Articles 28321 - 28350 of 1327384
Full-Text Articles in Entire DC Network
What Is The Liahona Project?, Yoshihiko Ariizumi
What Is The Liahona Project?, Yoshihiko Ariizumi
Spiritual Proficiency
This article summarizes the genesis of the Liahona Project, the process involved, and the resulting materials.
Digital Confessions: A Genealogy Of Belonging, Obedience, And Platform Power, Mohammad M. Ibrahimi
Digital Confessions: A Genealogy Of Belonging, Obedience, And Platform Power, Mohammad M. Ibrahimi
Departmental Honors & Graduate Capstone Projects
This paper critiques social media as a moral architecture that shapes how individuals understand belonging, visibility, and selfhood. Drawing primarily on Nietzsche, with support from Foucault, Dostoevsky, and Zuboff, it explores why users continue to invest digital platforms with authority despite their widely recognized harms, treating social media less as a technological tool and more as a medium of belonging and livelihood. To provide a broader context for this critique, the paper situates social media within a genealogy of moral architectures, tracing developments from the Church, through capitalism as an ideology, and ultimately to contemporary digital platforms. In doing so, …
Let Us Talk! Narratives Of Catholic School Principals And Their Allyship With Lgbtq Students, Adrian Xavier Cuevas
Let Us Talk! Narratives Of Catholic School Principals And Their Allyship With Lgbtq Students, Adrian Xavier Cuevas
LMU Theses and Dissertations
Catholic school principals navigate complex responsibilities in fostering inclusive and faith-based learning environments. This study explores the experiences of Catholic school principals in supporting Lesbian, Gay, Bisexual, Transgender, and Queer (LGBTQ) students, by examining the challenges they encounter and the resources they require. Through qualitative interviews, the research identifies the tensions between Church teachings, school policies, and the diverse needs of LGBTQ students. Findings, presented through Composite Narratives (Willis, 2019) to ensure additional anonymity, highlight the necessity for professional development, clearer guidelines from diocesan and Catholic school leadership, and the role of personal faith and values in shaping principals’ approaches. …
Information Literacy: Ensuring Evidence-Based Practice In The Era Of Connectivity, Marianne E. Hess, Robyn Smith
Information Literacy: Ensuring Evidence-Based Practice In The Era Of Connectivity, Marianne E. Hess, Robyn Smith
Biennial Convention (CONV)
The rapid advancement of technology presents both opportunities and challenges in nursing. To promote nursing excellence, nurses respect the importance of using scholarly websites and publications. With technological advancements and multimedia resources offering convenience, they also pose risks regarding the accuracy and reliability of information accessed through non-scholarly sources. The purpose of this presentation examines information literacy in the clinical setting and how the clinical nurse should respond to the challenges of the overabundance of information.
In today’s readily accessible high-tech world, the nurse may be drawn to the convenience and habitual use of accessible learning materials using a non-scholarly …
Gastrectomy Promoted Diabetes Remission Involves The Molecular Clock And Epigenetic Mechanisms In A Rat Model Of Lean Type 2 Diabetes., Aurélie Le Lay, François Brial, Claude Rouch, Xiaojian Shao, Mathieu Bourgey, Kazuhiro Sonomura, Huiting Ou, Sara Ghezzal, Mylène Vincent, Marylène Rugard, Karine Audouze, Jiannis Ragoussis, Fumihiko Matsuda, Guillaume Bourque, Elin Grundberg, Mark Lathrop, Christophe Magnan, Dominique Gauguier
Gastrectomy Promoted Diabetes Remission Involves The Molecular Clock And Epigenetic Mechanisms In A Rat Model Of Lean Type 2 Diabetes., Aurélie Le Lay, François Brial, Claude Rouch, Xiaojian Shao, Mathieu Bourgey, Kazuhiro Sonomura, Huiting Ou, Sara Ghezzal, Mylène Vincent, Marylène Rugard, Karine Audouze, Jiannis Ragoussis, Fumihiko Matsuda, Guillaume Bourque, Elin Grundberg, Mark Lathrop, Christophe Magnan, Dominique Gauguier
Manuscripts, Articles, Book Chapters and Other Papers
Bariatric surgery results in type 2 diabetes (T2D) improvement. To identify mechanisms associated with gastrectomy-promoted T2D remission in lean individuals, we performed pathophysiological, behavioural and molecular (liver transcriptome, metabolome and lipidome) investigations in the Goto-Kakizaki (GK) model of spontaneously-occurring non-obese T2D following vertical sleeve gastrectomy (VSG) or sham operation. VSG resulted in sustained reduction in hyperglycemia and changes in nycthemeral feeding patterns and activity. Liver transcriptome and lipidome profiling pointed to changes in the expression of genes involved in inflammation, PPAR signalling and fatty acid metabolism, and in the regulation of phosphatidylcholine and lysophosphatidylethanolamine classes. Deeper analysis revealed altered expression …
Willing To Drive Green? Exploring Behavioral And Policy Influences On Electric Vehicle Ownership, Rajat Subhra Chatterjee, Irfan Hameed, Yamna Khan, Bibi Zainab, Kamran Khan
Willing To Drive Green? Exploring Behavioral And Policy Influences On Electric Vehicle Ownership, Rajat Subhra Chatterjee, Irfan Hameed, Yamna Khan, Bibi Zainab, Kamran Khan
Plymouth Business School
PurposeThis study aims to empirically investigate the factors influencing Malaysian consumers’ purchase intentions (PI) for electric vehicles (EVs). The present study extends and modifies the theory of planned behavior (TPB) with additional variables [environmental concern (EC) and perceived incentive policy (PIP)] to examine the effect on consumers’ PI regarding EVs.Design/methodology/approachThe study used purposive sampling technique, and the target population consisted of Malaysian EV owners. A total of 600 questionnaires were distributed, yielding 413 responses. A final 390 responses were retained for analysis. Partial least squares structural equation modeling (PLS-SEM) has been used to analyze data using SmartPLS 4.0. In addition, …
An Assessment And Comparison Of Expert System Performance And Large Language Model Performance, Carter A. Lange
An Assessment And Comparison Of Expert System Performance And Large Language Model Performance, Carter A. Lange
ATU Honors Projects
This study compares the performance of knowledge-based expert systems (KBES) and large language models (LLMs) in narrow-domain tasks. Using Akinator as the representative KBES and ChatGPT as the representative LLM, fifty character-identification trials were conducted. Results show that both systems ultimately succeeded in identifying all characters, but their efficiency and accuracy differ. Akinator required fewer incorrect guesses and produced no identifiable total failures, or “errors,” while ChatGPT occasionally erred beyond possible continuation despite similar average guess counts. Statistical analysis revealed no significant difference in the number of questions required before success, but McNemar’s test indicated that ChatGPT made significantly more …
The Criminal Responsibility Of Russia For War Crimes In The Russo-Ukrainian War, Nicolas R. Obabko
The Criminal Responsibility Of Russia For War Crimes In The Russo-Ukrainian War, Nicolas R. Obabko
Honors Capstones
This Honors Capstone Thesis serves as an independent research study to verify the authenticity of allegations of Russian war crimes and violations of international humanitarian and criminal law in Russian conduct during the Russo-Ukrainian War. This research study primarily focuses on Russian war crimes and violations of international law that occurred after the beginning of the full-scale war on February 24, 2022, while acknowledging that allegations of similar violations have been occurring since 2014. This Honors Capstone Thesis uses international law sources such as the Geneva Conventions and the Convention on the Prevention and Punishment of the Crime of Genocide …
The Echo: December 8, 2025, Taylor University
The Echo: December 8, 2025, Taylor University
2025-2026 (Volume 113)
No abstract provided.
Artem-Is For Erp: Agreed Reporting Template For Eeg Methodology-International Standard For Event-Related Potential Experiments, Giorgio Ganis
Artem-Is For Erp: Agreed Reporting Template For Eeg Methodology-International Standard For Event-Related Potential Experiments, Giorgio Ganis
School of Psychology
The choices we make during the recording, preprocessing and analysis of event-related potentials (ERP) data can affect study outcomes. As such, it is critical that they are transparently reported to allow for reproducibility. Yet, systematic reviews of reporting practices in the field have shown that journal articles often do not meet this goal and that existing reporting guidelines have not resulted in a sufficient improvement in reporting transparency. An easier workflow for transparently documenting pipelines used in regular journal articles is needed. The ARTEM-IS (Agreed Reporting Template for EEG Methodology—International Standard) initiative is working towards addressing this issue by building …
Board Of Directors Meeting Minutes (December 8, 2025), Dmacc
Board Of Directors Meeting Minutes (December 8, 2025), Dmacc
Board of Directors Meeting Minutes
This file contains the minutes from the Des Moines Area Community College Board meeting held on December 8, 2025.
Staff Education On Burnout For Mental Healthcare Staff Mitigation Strategies For Psychiatric Outpatient Staff, Kadine Foreman-Westly
Staff Education On Burnout For Mental Healthcare Staff Mitigation Strategies For Psychiatric Outpatient Staff, Kadine Foreman-Westly
Walden Dissertations and Doctoral Studies
The purpose of this project is to determine whether implementing a staff education program in a psychiatric clinical setting can improve healthcare staff knowledge of strategies to prevent burnout. The project addresses a critical practice problem: a lack of structured education programs specifically targeting burnout recognition and management among mental healthcare staff. Burnout not only negatively impacts staff well-being but also affects patient safety and the overall quality of care. This project was designed to fill this gap by providing an educational intervention, with effectiveness measured through pre- and post-intervention surveys assessing staff knowledge. This staff education project was strengthened …
Counselors’ Experience Of Vicarious Trauma Symptoms During The Covid-19 Pandemic, Aleah B. Curley
Counselors’ Experience Of Vicarious Trauma Symptoms During The Covid-19 Pandemic, Aleah B. Curley
Walden Dissertations and Doctoral Studies
As caseloads increased during the COVID-19 pandemic, counselors experienced a shift to telehealth counseling and double exposure to trauma and pandemic elements. Some counselors experienced symptoms of vicarious trauma (VT). A gap in the literature existed regarding the interaction of the pandemic among clients and counselors’ experiences of VT symptoms. The purpose of this narrative inquiry was to explore the lessons learned by capturing the stories of counselors who experienced VT symptoms during the COVID-19 pandemic. The research question concerned the retrospective experiences of counselors who self-reported experiencing VT symptoms during the COVID-19 pandemic. Seven licensed professional counselors who experienced …
Standardizing Syphilis Screening In Tennessee Correctional Facilities: A Policy Analysis, Erin Dernlan
Standardizing Syphilis Screening In Tennessee Correctional Facilities: A Policy Analysis, Erin Dernlan
DNP Projects
Background and Rationale
Congenital syphilis in Tennessee rose 227% from 2017-2021, despite being more than 90% preventable with timely diagnosis and treatment. Women of childbearing age entering correctional facilities represent a key intervention population due to disproportionally high rates of sexually transmitted infections, limited or absent prenatal care, and significant unmet health needs. Tennessee’s female incarceration rate is 57% higher than the national average, and nearly one-third of women tested at intake are positive for syphilis. Current intake practices rely heavily on self-report, assumed adequate health literacy, and lack standardized STI screening requirements, contributing to missed diagnoses and preventable infant …
Primary And Secondary Hyperaldosteronism, Joanna Lam
Primary And Secondary Hyperaldosteronism, Joanna Lam
Senior Honors Theses
Hyperaldosteronism is characterized by the excess production of aldosterone in the body. This disorder manifests in two subtypes: while primary hyperaldosteronism is due to the excess secretion of aldosterone from the adrenal glands, secondary hyperaldosteronism originates from imbalances elsewhere in the body. Here, recent literature will be reviewed to examine the etiology and effects of both subtypes of hyperaldosteronism across molecular, cellular, and organ levels. Current diagnostic and treatment options for both subtypes of this disorder will also be reviewed, as well as recent research examining the prevalence of hyperaldosteronism over varying demographics.
Elephant In The Classroom: How Ethical Ai Can Improve Student Success, Ibrahim Kocaman, Daniel A. Cutrer
Elephant In The Classroom: How Ethical Ai Can Improve Student Success, Ibrahim Kocaman, Daniel A. Cutrer
Publications
The integration of artificial intelligence (AI) into teaching and learning in higher education without compromising academic integrity is a pressing issue. To make the benefits of generative AI (GenAI) available to students while upholding principles of ethics and academic honesty, the authors implemented an ethical use of AI policy in their Introduction to Research Methods at Embry-Riddle University. The authors hypothesized and found that allowing ethical utilization of AI would lead to higher student engagement and academic success. These findings offer valuable insights for higher education programs and educators, particularly in security studies.
Mitochondrial Insoluble Aggregates In Aging And Alzheimer’S Disease Models: Cross-Species Proteomic Integration, Identification Of Conserved Candidates, And Pharmacological Disruption Of Eef-2 Interactions, Sonu Pahal
Theses and Dissertations
Protein aggregation within mitochondria emerges early in both aging and Alzheimer’s disease (AD) and contributes to progressive loss of proteostasis. Insoluble mitochondrial aggregate fractions from Caenorhabditis elegans revealed extensive enrichment of metabolic and translational proteins that also appear in human Alzheimer hippocampal aggregates. Comparative analysis across age and genotype identified a conserved subset of aggregation-prone proteins, several of which cluster around elongation factor 2 (eEF-2), a regulator of ribosomal translocation and energy coupling. Cross-species integration defined a network in which eEF-2 links chaperones, metabolic enzymes, and RNA-binding proteins that co-aggregate in both human Alzheimer material and nematode models. Functional tests …
A Global Interprofessional Approach To Nursing Education, Andrea Grace Renwanz Boyle, Olivia Catolico
A Global Interprofessional Approach To Nursing Education, Andrea Grace Renwanz Boyle, Olivia Catolico
Biennial Convention (CONV)
Education for tomorrow’s nurses requires approaches that are forward- thinking, innovative, culturally relevant, and designed to address current and future health issues and challenges. Nursing education also must focus on global interprofessional collaboration between educators, students, and clinicians. The purpose of this presentation is to describe the development of a global undergraduate nursing course for implementation with student groups from both USA and rural Uganda nursing programs.
The proposed course builds on existing relationships between nursing faculty working in a small US university and faculty working in a small nursing program in rural Uganda. The course is designed to address …
Collaborative Research: Fair + R: Building The Future Of More Reproducible Water Research Through Community Best Practices, Software Tools, Cohort Building, And Policy Change., James H. Stagge, David E. Rosenberg, Sierra Young
Collaborative Research: Fair + R: Building The Future Of More Reproducible Water Research Through Community Best Practices, Software Tools, Cohort Building, And Policy Change., James H. Stagge, David E. Rosenberg, Sierra Young
Civil and Environmental Engineering Faculty Publications
This project aims to create a pathway towards a future, ten years from now, when a majority of published research across geosciences is not only FAIR (Findable, Accessible, Interoperable, and Reusable), but reproducible by a third party. Building on the Center for Open Science framework for cultural change, this project is organized around four scaffolded goals: improving infrastructure and tools, building community support, aligning incentives, and minimizing barriers to policy change. We will systematically analyze 300-500 publications from leading hydrology and water resources journal to quantify changes in reproducibility rates since 2017 and identify the tools and practices that best …
Space Agriculture: A Comprehensive Systems-Level Review Of Challenges And Opportunities, Hassan Fazayeli, Aaron Lee M. Daigh, Cassandra Palmer, Santosh Pitla, David Jones, Yufeng Ge
Space Agriculture: A Comprehensive Systems-Level Review Of Challenges And Opportunities, Hassan Fazayeli, Aaron Lee M. Daigh, Cassandra Palmer, Santosh Pitla, David Jones, Yufeng Ge
Biological Engineering Faculty Publications
As humanity prepares for prolonged space missions and future extraterrestrial settlements, developing reliable and resilient food-production systems is becoming a critical priority. Space agriculture, the cultivation of plants beyond Earth (particularly on the Moon and Mars), faces a constellation of interdependent environmental, biological, and engineering challenges. These include limited solar radiation, elevated ionizing radiation, large thermal variability, non-Earth atmospheric pressures, reduced gravity, regolith substrates with low nutrient-holding capacity, high-CO2/low-O2 atmospheres, pervasive dust, constrained water and nutrient availability, altered plant physiology, and the overarching need for closed-loop, resource-efficient systems. These stressors create an exceptionally challenging environment for plant …
Grayscale Image Encryption Using Generalized Lucas Matrices And Hillcipher, Putri Zalia Megat Johar, Faridah Yunos, Ji-Jian Chin, Muhammad Asyraf Asbullah
Grayscale Image Encryption Using Generalized Lucas Matrices And Hillcipher, Putri Zalia Megat Johar, Faridah Yunos, Ji-Jian Chin, Muhammad Asyraf Asbullah
School of Engineering, Computing and Mathematics
Secure and effective methods of image encryption are increasingly important in protecting sensitivedigital content from being attacked by today's increasingly knowledgeable and aggressive adversaries.This is no exception to attacks carried out on the secret content generated by grayscale images.Stemming from this problem, this research introduces a new approach to encrypt grayscale images usinga combination of the Generalized Lucas Matrix and Hill Cipher (GLMHC) with a self-invertibleencryption key. This type of encryption key eliminates the need to find the inversion key during thedecryption process and reduces the computational burden. Encrypted image quality is measured usingentropy, Mean Two-Dimensional Error (MSE), Signal to …
Polycystin-2 Is Cardioprotective Against Myocardial Infarction By Regulating The Calcium-Mediated Er-Stress Response, Virdjinija Vuchkovska
Polycystin-2 Is Cardioprotective Against Myocardial Infarction By Regulating The Calcium-Mediated Er-Stress Response, Virdjinija Vuchkovska
Dissertations
Patients with autosomal polycystic kidney disease (ADPKD) have an increased risk and worse outcomes after acute myocardial infarction, but the mechanism for this is unknown. Polycystin 2 (PC2), one of the two main proteins mutated in ADPKD, is a calcium permeant channel that localizes to the ER/SR. In non-cardiac cells, PC2 regulates the unfolded protein response (UPR) pathway under ER stress. However, whether PC2 is cardioprotective against ER stress is unknown. We found that PC2 expression increased in cardiomyocytes from human ischemic hearts and infarcted murine hearts. Cardiomyocyte-specific PC2 KO (PC2 KO) mice had worsened cardiac function after myocardial infarction …
Using Light To Dissect Mechanisms Of Septin Recruitment, Shreya Chandrasekar
Using Light To Dissect Mechanisms Of Septin Recruitment, Shreya Chandrasekar
Dissertations
Cells interpret biochemical and mechanical signals through dynamic regulation of the cytoskeleton and adhesion complexes, enabling key processes such as shape adaptation, force generation and migration. As these signals vary in both time and space, they can be challenging to resolve using traditional bulk assays. To overcome this limitation, we employ light-based optogenetic tools to reversibly modulate biochemical signals and mechanical equilibrium within cells. Specifically, we use the iLID optogenetic approach to locally activate signaling and manipulate contractility within the cytoskeleton for the purpose of investigating the role of RhoA and contractility on septin organization and adhesion protein localization. We …
Elucidating Mechanism Of Formation Of Thermoreversible Gels From Associative Protein-Polysaccharide Mixtures, Prateek Sharma
Elucidating Mechanism Of Formation Of Thermoreversible Gels From Associative Protein-Polysaccharide Mixtures, Prateek Sharma
Funded Research Records
No abstract provided.
Deep Learning For Underwater Manatee Counting And Tracking, Theodor Owchariw
Deep Learning For Underwater Manatee Counting And Tracking, Theodor Owchariw
Electronic Theses and Dissertations 2020 - Present
The Florida manatee (Trichechus manatus latirostris), a threatened marine mammal often found in coastal waters, require accurate monitoring to inform conservation strategies. However, traditional counting methods are hindered by observer bias and surface distortions. Recent advances in artificial intelligence (AI) address these challenges using captured aerial footage of manatees, demonstrating the potential of artificial intelligence for automating manatee counting. Still, various challenges arise hindering accurate counts.
Building on these studies, this work advances artificial intelligence with underwater footage, instance segmentation, data augmentation, and pseudo-labeling to automate manatee counting in data-scarce environments. Three experiments were conducted using 10%, 60%, and 90% …
Controlling The Size And Surface Chemistry Of Nickel Nanoparticles Via A Modified Polyol Method, Gladel Saintilme
Controlling The Size And Surface Chemistry Of Nickel Nanoparticles Via A Modified Polyol Method, Gladel Saintilme
Electronic Theses and Dissertations 2020 - Present
This study presents a detailed exploration of the synthesis, morphological tuning, and physicochemical characterization of nickel nanoparticles (NiNPs) engineered for catalytic applications in aqueous environments. Using a modified polyol method adapted from Couto et al., nanoparticles were synthesized under controlled thermal and chemical conditions with nickel chloride hexahydrate, polyvinylpyrrolidone (PVP), and sodium borohydride in ethylene glycol according to a modified version of this synthesis protocol.1 The reaction temperature and reactivity of the reducing agent were found to significantly influence particle size. Reaction temperatures were varied between 120° C and 170° C, resulting in nanoparticle sizes between 23 ± 7 …
Exploring The Impact Of Negative Ewom On Hotel Booking Intention Through The Lens Of Attribution Theory And The Moderating Role Of Recovery Justice, Antonio Jose Ogaz-Muñoz
Exploring The Impact Of Negative Ewom On Hotel Booking Intention Through The Lens Of Attribution Theory And The Moderating Role Of Recovery Justice, Antonio Jose Ogaz-Muñoz
Electronic Theses and Dissertations 2020 - Present
Negative electronic word-of-mouth (EWOM) has emerged as a critical factor influencing customer behavior, particularly in the hospitality industry. Despite extensive research grounded in failure attributions and service recovery theories, few studies examine the combined impact of failure attribution and recovery justice on hotel booking intentions. Using a 2x2x2x2 between-subjects experimental design with 373 responses, this research investigates how customers' perceptions of failure attribution influence their booking intention after exposure to negative EWOM, and if perceived recovery justice can mitigate the negative effects of these attributions. Results show that booking intention declined most when reviews framed the failure as hotel-caused and …
Improving Patient Outcomes Through Implementation Of The Kdoqi Guidelines For Tunneled Dialysis Catheter Placement, Gabriela Echagaray
Improving Patient Outcomes Through Implementation Of The Kdoqi Guidelines For Tunneled Dialysis Catheter Placement, Gabriela Echagaray
Electronic Theses and Dissertations 2020 - Present
This quality improvement (QI) project aimed to enhance adherence to the Kidney Disease Outcomes Quality Initiative (KDOQI) guidelines for placement of tunneled dialysis catheters (TDCs) in intensive care unit (ICU) patients. The project addressed inconsistent application of best practices related to TDC placement, improved documentation, improved communication using TigerConnect, a reduction in inappropriate catheter placements, and maintenance of a zero hospital-acquired tunneled dialysis catheter-related bloodstream infection (CRBSI) rate. Notably, some patients continued to be admitted with pre-existing community-acquired tunneled catheter-related infections, underscoring the effectiveness of the hospital’s internal infection prevention strategies while highlighting the need for enhanced collaboration with outpatient …
Nearshore Wind Estimation From Buoy Wave Spectra Via Physics-Guided Machine Learning: A Framework For Offshore Wind Applications, Jiaxin Chen, Martyn Hann, Robert Rawlinson-Smith, Munira Raji, Deborah Greaves
Nearshore Wind Estimation From Buoy Wave Spectra Via Physics-Guided Machine Learning: A Framework For Offshore Wind Applications, Jiaxin Chen, Martyn Hann, Robert Rawlinson-Smith, Munira Raji, Deborah Greaves
School of Engineering, Computing and Mathematics
Reliable real-time wind estimation in nearshore zones is critical for offshore wind energy development, especially in regions lacking direct meteorological observations. This study presents a physics-guided machine learning framework for estimating 10-m surface wind speed and direction from wave buoy spectra. The model incorporates frequency- and wavenumber-based energy parameters, directional Fourier coefficients, directional fetch, and normalised wave number–depth indicators to account for local wind–wave dynamics.Trained on six long-term buoy–mast station pairs along the UK southwest coast, the model outperforms two established empirical methods, reducing wind speed and direction RMSE by over 50%. Sensitivity analyses confirm the value of directional and …