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Quality Improvement Project The Impact Of Targeted Education And Training On The Use Of Rapid Mood Screener Tool On The Rate Of Mood Disorders Detection Among Psychiatric Providers, Oluwatobi Adeleke

Doctor of Nursing Practice Projects

Optimal mood disorder (MD) management outcomes are associated with accurate and timely diagnosis. Yet, MD misdiagnosis, particularly Bipolar I, is an unfortunately common problem. Rapid assessment or screening tools offer effective diagnostic assessment interventions for faster diagnosis without compromising effectiveness. Still, their administration is constrained by providers’ knowledge and competence limitations. The Rapid Mood Screener (RMS) is a rapid screener for MDs, including Bipolar I, with well-established specificity, accuracy, and reliability. Provider training and education on RMS implementation can be effective in addressing the challenges providers encounter in the tool’s administration. Here, through a pre-post quasi-experimental design, this quality improvement …

Effect Of Whole-Food Plant-Based Diet On Ldl Cholesterol: A Scoping Literature Review, Joel Gregory Mueller

Nursing Capstones

Background: The whole-food, plant-based (WFPB) diet includes whole grains, whole plants, unrefined sugars, beans, and legumes. The diet excludes meat, dairy, and added fats. The diet has been popularized by documentaries .The diet claims to lower total and LDL cholesterol to a safe level as both a primary and secondary mode of prevention.

Purpose: Review existing studies to see whether the WFPB diet will lower LDL cholesterol in adult males over a 14 day or more duration.

Methods: A scoping literature review was completed of the University of North Dakota’s library system for keyword combinations. The returned 102 studies were …

Controlled-Airflow Sensor Enclosure (Case) Design Document, Catryn N. Cattoor

Mechanical Engineering and Materials Science Independent Study

The purpose of this document is to organize the theory, industry practices, and research related to designing a device that pulls air through a pipe, containing an environmental sensor, at a rate controlled by a computer fan. Using such a device to regulate the airflow over a sensor can improve the accuracy of field readings, as sensors are often unintentionally sensitive to multiple external conditions. Changes in wind direction and speed or heating due to solar radiation, for example, can cause errors in gas concentration and temperature readings, warranting the need to correct for these factors without decoupling these sensors …

Work Extracting And Second Law-Like Inequalities From Non-Extensive Small Systems With Feedback, Mehdi Mirzaee, Saman Amiri

Turkish Journal of Physics

The Gibbs-Boltzmann entropy effectively characterizes systems with a significant reliance on initial conditions. Nonetheless, the majority of materials generally exhibit behavior that is independent of their initial conditions. Conversely, Tsallis entropy—a nonextensive entropy that underpins nonextensive statistical mechanics—provides a comprehensive framework for modeling systems that engage with their environment. In this study, we derive the Tsallis formulation of the Clausius inequality in a quantum context and establish an upper limit for the work that can be extracted from a small system within the framework of nonextensive quantum statistical mechanics. Furthermore, by utilizing a principle from quantum information theory—which posits that …

Predicting The Gravitational Lensing Magnification Of Quasars By The Roman Space Telescope, Esmeralda Guliqani, Lindita Hamolli, Mimoza Hafizi

Turkish Journal of Physics

In strong gravitational lensed quasars, the magnification of an image is significant for constraining various lens models. We predict the magnification of the lensed images in the case of double lensed quasars that are expected to be observed by the Roman Space Telescope. Using Monte Carlo simulations, we generate quasar-galaxy systems based on the mass-luminosity function of galaxies and the redshift distribution of both galaxies and quasars taken from observations. Utilizing the capabilities of the Roman Telescope, we calculate for the double lensed quasars their angular positions and their magnifications. We considered two models for the lensing galaxy: the singular …

Computational Investigation Of The Structural And Electronic Effects Of Phenyl, Alkyl, And Halogen Fully Substituted Acenes, Emily A A Jarvis, Viraj Jain, Georgia Grace Tully, Peter W. Jarvis

Chemistry and Biochemistry Faculty Works

Acenes are a class of polycyclic aromatic hydrocarbons that may hold promise as organic semiconductors (OSCs) in solar cells and electronic devices. Their instability and poor solubility present challenges that may be improved by replacing the hydrogens with phenyl, halogen or alkyl substituents to sterically induce a helical twist to these otherwise planar molecules. This twisted structure also impacts the optical properties of these molecules. We employ time-dependent density functional theory (TD DFT) to investigate acenes spanning from naphthalene to heptacene. We focus on the structural and electronic effects of fully substituting these molecular backbones to create seven distinct substituent …

Ai-Enabled Innovations In Automated Essay Scoring And Feedback Systems, Michael J. Murff

Theses and Dissertations

This dissertation examines the evolution and educational implementation of Automated Essay Scoring (AES) systems, with particular focus on generative artificial intelligence integration in educational assessment. Through a two-article format, this research addresses the persistent gap between technical capability and educational adoption that has characterized AES development over seven decades. The first article presents a comprehensive methodological review analyzing 122 studies spanning AES evolution from foundational computational linguistics through contemporary hybrid systems. Despite achieving strong correlations with human scoring, modern AES systems face resistance due to validity concerns and misalignment with pedagogical values, revealing an "adoption paradox" where technical sophistication often …

Under The Sea And Into The Future With Darwin, Verne, & Wells: Evolutionary Ideas In Early Science Fiction Literature And Atomic Age Adaptations, Suzette K. Forston

Theses and Dissertations

In the latter half of the nineteenth century, Charles Darwin's theories challenged traditional ways of thinking about the world so dramatically that his writings inspired the formation of a new genre: science fiction. Two pioneering authors, Jules Verne and H. G. Wells drew from Darwin's writings in their classic novels, 20,000 Leagues Under the Seas (1870) and The Time Machine (1895). Though the two authors are often compared because they were both early science fiction authors, they approached Darwinian theory in different ways. Verne uses a more extrapolative approach and focusing on specific details of Darwin's texts to tell a …

Quantified Possibility Neutrosophic Soft Set Based Decision Support System For Enhanced Accuracy In Sustainable Supplier Selection Decision Analysis, Neha Andaleeb Khalid, Muhammad Saeed

Neutrosophic Systems with Applications

To deal with the concepts of vulnerability, ambiguity, and indeterminacy that are typical in complex decision analysis contexts, neutrosophic set-like structures are frequently used. Although neutrosophic sets are particularly good at handling indeterminate circumstances, indeterminacy plays a part in making the decision making process imprecise and ambiguous. This paper develops a more advanced technique to improve the accuracy of decision analysis problems: the Quantified Possibility Neutrosophic Soft Set Decision Support System (Q^t PNSSDSS). In order to reduce the element of indeterminacy present in conventional neutrosophic sets, the proposed DSS is based on the Quantified Neutrosophic Set, which employs a …

Digital Trading Platform Selection Under Neutrosophic Numbers And Multi-Criteria Decision-Making Methodology: An Illustrative Example, Eman Sayed, Karam M. Sallam, Ibrahim Alrashdi

Neutrosophic Systems with Applications

Uncertainty, vagueness, and incomplete information are pervasive in real-world decision-making scenarios, particularly in multi-criteria decision-making (MCDM) contexts involving expert judgments. To address these challenges, this study introduces a comprehensive decision-making framework that integrates Triangular Neutrosophic Numbers (TNNs) with the Weighted Aggregated Sum Product Assessment (WASPAS) method. The framework begins by capturing expert evaluations using TNNs, which effectively represent the degrees of truth, indeterminacy, and falsity inherent in subjective assessments. These evaluations are then transformed into crisp values using a novel score function that preserves the embedded uncertainty. The resulting decision matrices are aggregated into a unified structure to ensure consistency …

Comparative Analysis Of Risk Factors Associated With Guinea Worm Disease In Five Endemic Countries, Junerlyn Virrey Agua

Walden Dissertations and Doctoral Studies

Guinea worm disease (GWD) has persisted in a small number of endemic countries despite decades of eradication efforts. Ongoing GWD transmission in these countries underscores the need to examine behavioral, environmental, and surveillance-related drivers. The purpose of this quantitative study was to assess associations among risk factors, including dog tethering, pond treatment with Abate, and community awareness, and GWD incidence. The study also examined the relationship between climate-related environmental factors and GWD case distribution, as well as the influence of awareness levels on GWD rumor reports. Guided by the PRECEDE–PROCEED framework, this retrospective secondary analysis used data from national eradication …

Educating Health Care Workers To Reduce Stigma And Create A Supportive Environment For Individuals With Substance Use Disorder, Rosette Nakiyemba Wakanabo

Walden Dissertations and Doctoral Studies

This doctoral project was a staff education project aimed at addressing a critical practice problem within nursing related to stigma faced by individuals with substance use disorder (SUD) in health care settings. The practice-focused question guiding the project addressed whether structured education and skill building could reduce stigma among health care workers toward patients with SUD. The purpose of this project was to enhance health care workers’ understanding of stigma and to equip them with practical tools and strategies to foster inclusive, empathetic, and effective care environments. The training was delivered in a workshop format that combined evidence-based strategies with …

Enhancing Clinical Understanding And Management Of Hypertensive Disorders Of Pregnancy Among Ob-Gyn Providers, Jenelle Camino

Walden Dissertations and Doctoral Studies

Hypertensive disorders of pregnancy (HDP), including gestational hypertension, preeclampsia, and chronic hypertension, are among the leading causes of maternal and neonatal morbidity and mortality globally, affecting approximately 10% of pregnancies. Despite established clinical guidelines, a significant gap remains in provider knowledge and the consistent application of evidence-based practices, particularly during the postpartum period and among marginalized populations. This Doctor of Nursing Practice (DNP) project addressed this gap by implementing a staff education program using the evidence-based California Maternal Quality Care Collaborative (CMQCC, 2021) toolkit. The intervention consisted of a pretest to assess baseline knowledge, an interactive PowerPoint presentation based on …

Non-Isolated Tetralogy Of Fallot (Tof+): Exome Sequencing Efficacy And Phenotypic Expansions, Julia Volpi, Xiaonan Zhao, Nichole Owen, Tia Evans, Muriel Holder-Espinasse, Nayana Lahiri, Eleanor Sherlock, Gemma Poke, Jeroen Breckpot, Koen Devriendt, Bjorn Cools, Alfredo Brusco, Giovanni Battista Ferrero, Enrico Grosso, Pradeep Vasudevan, Sara Loddo, Antonio Novelli, Maria Cristina Digilio, Aafke Engwerda, Marrit Hitzert, Alison Male, Lucy Bownass, Ruth Newbury-Ecob, Zosia Miedzybrodzka, Ruth Armstrong, Sally Ann Lynch, Gunnar Houge, Shiyi Xiong, Seema R Lalani, Jill A Rosenfeld, Pamela N Luna, Chad A Shaw, Daryl A Scott

Faculty, Staff and Students Publications

Tetralogy of Fallot (TOF) is the most common cyanotic congenital heart defect (CHD). TOF may present in isolation or in conjunction with one or more non-cardiac congenital anomalies or neurodevelopmental disorders (TOF+). Uncertainty regarding the efficacy of various genetic testing strategies, and an incomplete understanding of the genetic causes of TOF+, may lead to hesitancy in recommending genetic testing, particularly, clinical exome sequencing (cES). Here, we analyzed cES data from 131 individuals with TOF+. A definitive or probable diagnosis was made for 31 individuals, yielding a diagnostic rate of 23.6% (31/131). One individual received three diagnoses. Commercially available CHD panels …

Assessing The Muc5b Promoter Variant In A Large Cohort Of Systemic Sclerosis-Associated Interstitial Lung Disease, Carlos Rosa-Baez, Carlos Rangel-Pelaez, Inmaculada Rodriguez-Martin, Martin Kerick, Alfredo Guillen-Del-Castillo, Carmen P Simeon-Aznar, José Luis Callejas, Alexandre E Voskuyl, Alexander Kreuter, Oliver Distler, Susanna M Proudman, Mandana Nikpour, Nicolas Hunzelmann, Jeska K De Vries-Bouwstra, Ariane L Herrick, Yannick Allanore, Lorenzo Beretta, Maureen D Mayes, Christopher P Denton, Shervin Assassi, Javier Martin, Marialbert Acosta-Herrera

Faculty, Staff and Student Publications

Objective: The common gain-of-function variant rs35705950, located in the promoter of MUC5B gene, has been strongly associated with interstitial lung diseases (ILDs) of different aetiology, such as idiopathic pulmonary fibrosis (IPF) and rheumatoid arthritis-associated ILD (RA-ILD). In this study, we aimed to investigate the association of this variant and its nearby single nucleotide polymorphisms (SNPs) in the largest cohort of systemic sclerosis-associated ILD (SSc-ILD) to date.

Methods: Samples were collected from blood/saliva, followed by DNA extraction and genotyping using SNP arrays. Data for rs35705950 and additional 903 variants within 100 Kb were obtained using genomic imputation. Subsequently, we tested their …

Cover And Contents

Turkish Journal of Physics

No abstract provided.

Implications Of Mexican Hat-Like Band Structure On Thermoelectric Properties, Muhammad Hilal, Oğuz Gülseren

Turkish Journal of Physics

Electronic band structure of low dimensional materials significantly impacts their thermoelectric performance. A Mexican hat-like band structure, characterized by a ring-shaped extremum in momentum space, offers distinct advantages due to its singularity in the density of states at the band edge and its ability to enhance energy-dependent transport. This work investigates a two-dimensional tight-binding model hamiltonian that incorporates both nearest-neighbor (t1) and next-nearest-neighbor (t2) hopping. The ratio of the hopping amplitudes, ξ = t2/t1, serves as a tunable parameter that modulates the shape and depth of the Mexican hat dispersion. We use an analytical expression for the energy band of …

Optomechanical Dynamics: Exploring Membrane Effects On Cavity Mode Frequencies, Mahmut Can Özuygur

Turkish Journal of Physics

Optomechanics is an emerging research topic that explores the mechanical effects of light. In this paper, we present an analytical study of the mode frequency perturbation in a three-dimensional Fabry Pérot cavity containing a partially transparent membrane. Our analysis reveals that the maximum effect of the membrane occurs when it is placed at an antinode, where the field is at its maximum. The effect is minimized when the membrane is placed at a node, where the field is at a minimum, corroborating earlier one dimensional ”dielectric bump model” calculations. In contrast to previous models, we consider the membrane’s f inite …

Cross-Cultural Dialogue In Sound: An Analytical Exploration Of Tan Dun’S Elegy: Snow In June, Weipeng Liu

Electronic Theses and Dissertations Archive

This dissertation explores Tan Dun’s cross-cultural synthesis in contemporary music, focusing on his work Elegy: Snow in June (1991) to illuminate his role in redefining global musical dialogues. Situating Tan Dun within the broader trajectory of Chinese-Western musical encounters, the research addresses gaps in existing scholarship by integrating historical, analytical, and performative perspectives. Through meticulous score analysis, cultural-historical contextualization, and insights from performance practice, the study reveals how Tan Dun hybridizes Chinese pentatonic modes with Western harmonic frameworks, subverts orchestral hierarchies through unique timbres (such as stones and paper), and synthesizes Beijing opera’s jinda, manchang (“hasty stroke with slow singing”) …

Some Properties Of Neutrosophic Cubic Hypersoft Sets, Lubna Nayab, Muhammad Gulistan, Fawad Hussain

Neutrosophic Systems with Applications

This study addresses the limitations of NCS in managing uncertainties associated with multiple attributes and their further bifurcation. To address this challenge, we propose a generalization of the neutrosophic cubic soft set, introducing the concept of "neutrosophic cubic hyper soft set." Within this framework, we define internal and external neutrosophic cubic hypersoft sets, along with operations such as P-intersection, P-union, P-restricted union, P-extended intersection, P-OR operator, P-AND operator, R-intersection, R-union, R-restricted union, R-extended intersection, R-OR operator, R-AND operator, complement, and relative complement of neutrosophic cubic hyper soft sets. The study explores and presents relevant results, demonstrating the enhanced capability of …

Application Of Multi-Criteria Decision Analysis For Quantifying Responsibility In Ml-Based Intrusion Detection System, Mona Mohamed, Zekra Sakr

Neutrosophic Systems with Applications

With the swift growth in Internet of Things (IoT), certifying secure and trustworthy networks has turned to be a critical challenge, particularly as IoT devices are increasingly vulnerable to sophisticated cyberattacks. As a remedy, intelligent intrusion detection systems (IDS) evolved as promising solutions in recent years, but deciding on the appropriate model remains difficult because of competing performance and trustworthiness criteria. To this end, this paper explores a novel application of an ML-augmented decision-making framework to enhance security-related decision-making in IoT environments. The framework systematically evaluates and ranks ML-based IDS systems according to different evaluation criteria with distinct trade-offs, including …

Electricity Production From The Temperature Difference Between The Front And Back Surfaces Of A Solar Panel, Bi̇ldane Çamuka, İkram Orak

Turkish Journal of Physics

In this study, the generation of additional electrical energy through the temperature gradient across photovoltaic (PV) panel surfaces was investigated using thermoelectric (Peltier) modules. The experimental setup was conducted in three stages, each focusing on voltage output and thermal behavior under varying configurations. The results showed that Peltier modules can successfully convert thermal differences into electrical energy, and that output voltage increases with greater temperature differentials and active cooling. Among all configurations, the system with a 12 V fan demonstrated the highest voltage generation. This study highlights the potential of integrating thermoelectric elements into PV systems for improved energy efficiency, …

Charting New Territory: Ai Applications In Dental Caries Detection From Panoramic Imaging., Man Hung, Daniel Yevseyevich, Milan Khazana, Connor Schwartz, Martin S. Lipsky

Institute on Aging Publications

Dental caries remains a public health concern, and early detection prevents its progression and complications. Panoramic radiographs are essential diagnostic tools, yet the interpretation of panoramic X-rays varies among practitioners. Artificial intelligence (AI) presents a promising approach to enhance diagnostic accuracy in detecting dental caries. This scoping review examines the current literature on the use of AI programs to analyze panoramic radiographs for the diagnosis of dental caries. This scoping review searched PubMed, Scopus, Web of Science, and Dentistry and Oral Sciences Source, adhering to PRISMA guidelines. The review included peer-reviewed, original research published in English that investigated the use …

Blood Flow Restriction Use By U.S. Physical Therapists: A Survey On Settings, Equipment, And Adverse Effects, Alyssa Weatherholt, William R. Vanwye, Netra Patel, Alexandria Humphrey

International Journal of Exercise Science

International Journal of Exercise Science 18(5): 736-746, 2025. Blood flow restriction (BFR) combined with exercise has been shown to enhance muscle hypertrophy, strength, and aerobic capacity. While previous studies have evaluated the use of BFR among various practitioners, none have investigated its use exclusively among licensed U.S. physical therapists (PTs). A cross-sectional survey was distributed electronically to licensed U.S. PTs. Participants were required to use BFR currently in clinical practice. Survey items included respondents' demographics, practice setting, exercise mode, the type of BFR equipment used, and adverse events. A total of 134 licensed PTs from 20 states completed the survey. …

The Effects Of Forest Bathing On Anxiety In Adults: An Integrative Review, Nancyruth Leibold

General Submissions: Non-Traditional Settings and Methods

The aim of this study is to explore the effects of forest bathing on anxiety levels in adults. An abundance of forest bathing research evidence is present in the literature. There are documented physiological and psychological benefits from walking or spending time in forest nature. Yet, there are still many unanswered questions about the health benefits of forest bathing for humans. In this study, an integrated review of forest bathing specific to the effect on anxiety levels in adults is the focus. A thorough search of six electronic databases (CINAHL, Health and Medical Collection, OVID, Pub Med, Public Health Database, …

Developing Cross-Cultural Competence And Media Literacy Through Multi-Modal Instruction And Projects, Michelle Verbitskaya, Alla Kourova, Irina Pidberejna

Journal of Educational Research and Practice

We explore the integration of Media Literacy in the 2-year Russian language STARTALK program, “How Words Shape People: Understanding Business Russian Through Proverbs.” Given the current geopolitical climate, particularly the ongoing war in Ukraine, fostering critical engagement with media has become more essential than ever. By encouraging students to interact with multimedia resources—including animated videos, podcasts, news articles, and the Russian National Corpora—the curriculum aims to enhance both language and media literacy skills. Media Literacy’s Five Key Framework is applied to guide students in analyzing media critically while producing academic projects and cultural responses. We present a curriculum that fosters …

Successful Demonstrations Of The Elroi Satellite License Plate, David M. Palmer, Rebecca M. Holmes Sandoval

Small Satellite Conference

ELROI (Extremely Low Resource Optical Identifier) is a system that attaches a small, cheap, low power, autonomous blinking light to a satellite or other space object to allow it to be unambiguously identified by ground observations using a small telescope. This can provide a resolution to the space object identification problem for future launches at minimal technical and financial costs to the satellite operator. In 2024, two satellites carrying ELROI Space Object Tracking Units were successfully launched on separate rocket launches. As reported here, in both cases ELROI provided the first definitive identification of each satellite, sooner than achieved by …

Vision-Based Dynamic Tasking For Earth-Observing Satellite Constellations, Shreeyam Kacker, Kerri Cahoy, Kiruthika Devaraj, Işıl Demir, Steve Chien

Small Satellite Conference

Unpredictable phenomena such as cloud coverage pose a challenge for conventional Earth observation. Long lead times can cause conditions to change between forecasting, scheduling, and image capture, leading to suboptimal observations. To combat this, dynamic tasking has been proposed as a mission concept, where perception and autonomy are moved onboard the spacecraft in order to quickly respond to changes in the spacecraft’s imaging schedule, leveraging the compute power available in modern Earth-observing spacecraft. In this work, we explore the use of a wide field-of-view body-fixed lookahead sensor, separate from the main imaging payload, to evaluate the real-time utility of upcoming …

Scope-1: On-Orbit Surface Feature-Based Navigation And Timing Mission Overview, Paula Delfin, Lance Lui, Margaret Lambert, Dominic Nguyen, Meenakshi Kalinathabotla, Dylan Mcintyre, Maximilian Roccioli, Riley Vazquez, Yan Zhe Wong, Yulia Meza, Brandon Jones, Renato Zanetti

Small Satellite Conference

The SpaceCraft for Optical-based Position Estimation-1 (SCOPE-1) is a 3U CubeSat developed by the Texas Spacecraft Laboratory (TSL) at The University of Texas at Austin to demonstrate near real-time Position, Navigation, and Timing (PNT) estimation primarily using optical detections of Earth’s islands and archipelagos. The mission adapts algorithms originally developed for lunar crater-based PNT and applies them to terrestrial features for validation in low Earth orbit (LEO). SCOPE-1 features an onboard system combining Mask R-CNN-based surface-feature detection, catalog-based feature identification, and an extended Kalman filter (EKF) to estimate position and timing in near real-time. The SCOPE-1 spacecraft will be built …

Implementation Of A Standardized Protocol For Early Detection Of Coronary Artery Disease, Erika Sosa

DNP and Student Works

Cardiovascular disease (CVD) remains the leading cause of mortality worldwide, accounting for over 931,000 deaths in the United States in 2021. The growing prevalence of CVD, coupled with increased life expectancy, underscores the need for early detection and intervention to mitigate its impact on patients, families, and society. Timely identification of subclinical heart disease can significantly improve outcomes by allowing earlier implementation of preventive strategies.

This Doctor of Nursing Practice (DNP) project implemented a primary care–based protocol for the early detection of coronary artery disease (CAD) using the Coronary Artery Calcium (CAC) score. The CAC score, a non-invasive imaging modality, …