Digital Commons Network^™

Increased Perceived Confidence In Professional Role Skills Among Undergraduate Dietetic Students Following Simulation-Based Learning Experiences, Makenzie Barr-Porter, Elizabeth Combs, Lauren Batey, Dawn Brewer, Aaron Kyle Schwartz, Tammy Stephenson

UK CARES Faculty Publications

Simulation-based learning experiences (SBLEs) are effective for teaching healthcare students clinical and communication skills. The current study assessed self-perceived clinical and communication confidence among dietetics students completing a series of four SBLEs (3 group, 1 individual) across nine months. Dietetics students were recruited in February 2023 prior to their first SBLE. Simultaneously through the academic year, students completed clinical and communication courses. Students were invited to complete an online, anonymous self-reported survey regarding confidence with nutrition care and communication prior to their first SBLE (Time 1), prior to their third SBLE (Time 2), and following their final SBLE (Time 3). …

A New Canvas Of Learning: Enhancing Formal Analysis Skills In Ap Art History Through Ai-Generated Islamic Art, Krista Carpino, James Hutson

Faculty Scholarship

This study explores the use of AI art generators to enhance formal analysis skills in AP Art History students, with a focus on Islamic Art and Architecture. Students, often entering the course with high academic achievements, find the unique challenge of articulating detailed visual descriptions of artworks. The study’s approach involves using AI image-generation websites, like wepik.com, where students create AI images resembling Islamic artworks studied in class. This method aims to refine their descriptive skills, focusing on visual evidence rather than relying on identifying details. The choice of Islamic Art, markedly different from other historical periods covered in the …

Community Opinions On Environmental Action On Isla Porvenir And Whichub Walla In The Guna Yala Comarca, Sofia Houts

Independent Study Project (ISP) Collection

The Guna Yala Comarca is the autonomous, self-governed territory of the Guna people, one of seven Indigenous groups in Panama. The Comarca is located on Panama’s eastern Caribbean coast and includes 365 coral islands. Forty nine Guna communities and roughly 32,000 individuals live in the territory. The Guna General Congress is the highest authority, and each community has a local congress. As a low-lying coastal region, Guna Yala is especially vulnerable to climate change and is already impacted by sea level rise, biodiversity loss, and changing precipitation patterns. Sub-national, national, and international forms of governance and environmental action are crucial …

Community Knowledge Of Shark Ecology, Abundance, And Species Composition In Wichubwala, Nalunega, And Porvenir Communities In The Guna Yala Comarca, Panamá, Kayley Jane Porter

Independent Study Project (ISP) Collection

Sharks play a critical role in marine ecosystems as apex predators that exert top-down control of lower trophic levels. In recent decades, global shark populations have declined to unprecedented levels, triggering a cascade effect that threatens ecosystem functioning and, therefore, coastal community livelihoods that rely on marine resources for food and income. It is known that shark populations are vulnerable and on the decline due to anthropogenic stressors such as fishing and coastal development, but shark species composition and abundance are difficult to monitor due to the evasive nature of sharks, the often remote and inaccessible location of certain shark …

Exploring The Medicalization Of Menstruation: Analyzing Menstrual Hygiene Initiatives By Igos, Non-Profits And National Government In Switzerland, Victoria Wright

Independent Study Project (ISP) Collection

Menstrual health serves as a critical indicator of reproductive health. It is pivotal in achieving various Sustainable Development Goals (SDGs) related to women's and girls' comfort, agency, participation, safety, well-being, and dignity (Loughnan et al., 2020). This research investigates the medicalization of menstruation in Switzerland through a mixed-methods approach examining the strategies and roles of key stakeholders such as the WHO, local government initiatives, and NGOs in shaping the landscape of menstrual medicalization.

The findings reveal that while medicalization has brought about progressive changes, including the introduction of menstrual leave policies, it has resulted in a complex regulatory landscape, increased …

Improving Ethics Surrounding Collegiate-Level Hacking Education: Comprehensive Implementation Plan And Affiliation With Peer-Led Initiatives, Shannon O. Morgan

ALL - Honors Theses

The purpose of this research study is to analyze the ethical ramifications of hacking education on the collegiate level in relation to cybersecurity majors and minors. Educators and university officials must take action to prevent the misuse of the information, skills, and knowledge gained from being a student in a cyber-related course. As the dependence on technology rises, it is crucial that future technology professionals are effectively trained and taught the ins and outs of the field to better protect users from becoming a victim of a cyberattack. The outcome of this study is to compile a comprehensive list of …

Reflections About The Academy And Its Centennial, Marco Aldi, Woodward S. Bousquet

Virginia Journal of Science

Brief reflective essays from members of the Virginia Academy of Science were solicited as part of the Academy's centennial commemoration in 2023. The essays received demonstrate the many and varied ways in which the Academy has fostered collegiality, encouraged research, supported science education, and shaped the course of science in Virginia during the organization's 100-year history.

Historical Trends In The Astronomy, Math, And Physics Section Of The Virginia Academy Of Science, Joseph D. Rudmin

Virginia Journal of Science

A brief history of the Astronomy, Math, and Physics section of the Virginia Academy of Science is presented, noting trends in participation and content.

Characterizing And Developing Chemistry Students’ Data Analysis And Interpretation Of Chemical Data, Stephanie A. Berg

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

All chemistry students must develop competency in analyzing and making sense of data. However, there are many difficulties that chemistry students may experience while analyzing data. Many students may not use relevant prior knowledge to aid in making sense of data, or they may not form conclusions using all the data provided. Additionally, prior knowledge seems to influence one’s data analysis, but little is known about how students use it to make sense of data. Thus, I interviewed undergraduate students as they analyzed graphical data for a task and characterized how they used their prior knowledge throughout. My findings suggest …

Establishing Practical Equivalence Of Factor Loadings In Multigroup Confirmatory Factor Analysis, Christopher Edward Shank

Dissertations

This dissertation compares the performance of equivalence test (EQT) and null hypothesis test (NHT) procedures for identifying invariant and noninvariant factor loadings under a range of experimental manipulations. EQT is the statistically appropriate approach when the research goal is to find evidence of group similarity rather than group difference; despite this, the conventional approach to measurement invariance analysis relies upon NHT. EQT has proved effective for invariance detection using global model-data fit statistics in simulated and real-world data (Counsell et al., 2020) but its use in partial measurement invariance (PMI) analysis for evaluation of factor loading differences between groups has …

Enhancing Cybersecurity Awareness In The United Arab Emirates: An Assessment Of Current Practices And The Development Of An Ai-Enhanced Mobile Application, Meera Humaid Alalawi

Theses

In today's interconnected world, individuals, private corporations, public institutions, and governments face increasingly sophisticated cyber threats and attacks, highlighting the critical need for individuals and organizations to understand cybersecurity comprehensively. Cyberattacks have affected many countries and infrastructures in different sectors worldwide, including the United Arab Emirates (UAE), which has become a main target for cybercrime due to its booming economy and tourism. The UAE considers cybersecurity an increasingly critical issue in our digital world, and increasing cybersecurity awareness among residents is essential to protect themselves and their organizations from cyberattacks. The primary objectives of this study are to identify key …

Let’S Move! Benefits Of Exercise Compared To Ssris (Escitalopram) For The Management Of Depression: Research From 2020 And Beyond, Brianna Droessler-Aschliman

Physician Assistant Scholarly Project Posters

• Purpose: Determine the effectiveness of exercise as either monotherapy or in combination with SSRIs (selective serotonin reuptake inhibitors) for the management of major depressive disorder.

• Studies gathered for this review came from the following databases: PubMed, SpringerLink, Academic Search Ultimate, Academic Search Complete, and CINAHL.

• Review of current research that was completed between the years 2020-2023 that consisted of either clinical trials, RCTs, or meta-analysis. • Upon completion of the literature review: exercise is equivocal to SSRIs as a treatment option. While this is a significant finding, the benefits of exercises are more consistent in those that …

2024 Research Day Program, Lincoln Memorial University

Research Day

This program contains abstracts and presentation summaries from LMU's 2024 Annual Research Day conference.

Empowering Environmental Education In Portuguese Primary Schools: Energy Focused Curriculum Recommendations And Behavioral Change Framework Guided By Principles Of Developmental Psychology, Ellie Hanson

Independent Study Project (ISP) Collection

This paper explores the integration of principles of developmental psychology within the context of environmental education in Portugal to promote pro-environmental behavior, and specifically energy literacy energy conservation behaviors in primary school students. A review of current literature on the state of environmental education approaches in Portugal exhibits a significant lack of structure and direction for educators to teach students relevant topics in sustainability. Using a meta-theory of behavioral change, the present work connects the elements of the COM-B model of behavioral change to relevant aspects of middle childhood cognitive development using principles of two major theories of developmental psychology. …

Lisbon’S Electric Vehicle (Ev) Fleet: A Cost-Benefit Analysis Of A Mass Adoption Of Evs In Lisbon By 2050, Maya Estrera

Independent Study Project (ISP) Collection

As the impacts of climate change increase, the EU and its member countries are attempting to achieve carbon neutrality by 2050. The adoption of electric vehicles is proving to be a promising solution to achieve this goal, and specifically, reductions in the transport sector emissions. This study analyzes the potential costs and benefits resulting from a mass adoption of electric vehicles in Lisbon by 2050. Through a cost-benefit analysis, this study aims to quantify the major costs and benefits associated with electric vehicles. The results display the potential monetary benefits of a city-wide shift to electric vehicles in addition to …

Structural Responses To Land Use In Pollination Networks: Effects Of Biodiversity And Alien Plants In The Ecuadorian Chocó, Eric Abrahams

Independent Study Project (ISP) Collection

As a globally recognized hotspot of biodiversity, the Ecuadorian Chocó Andino region is extremely important for research and conservation. However, little research has been done regarding the mutualistic networks that sustain this ecosystem. The analysis of plant-pollinator networks helps us understand how ecosystems respond to change and is vital to conserving ecological productivity across multiple spatial scales. This study establishes a baseline for pollinator network structure across a land use gradient near the western montane cloud forest in Ecuador. Plants and pollinators were sampled along 11 transects in farms, communities, roads in the Río Manduriacu valley. Weedy herbs dominated overall, …

Digital Frontiers In Aesthetics: Applying Dewey's Insights To Generative Ai, Malcolm F. Lathrop-Allen

Student Publications

The last few years have seen the emergence of ‘artificially intelligent’ systems en masse, which perform tasks which had previously only been possible by human intelligence. Arguably, the impact of ‘AI 2.0’ has been felt most prominently in the art world — artists have panicked as DALL-E, Midjourney, and other image generation algorithms manufacture pieces which previously required weeks of painstaking labor to create. This project seeks to develop a more critical framework for this novel mode of artistic creation and propose better ways of thinking about, using, and “becoming with” artificial intelligence in the domain of artistry. The first …

Quantum Realities: A Comparative Analysis Of Interpretations Addressing The Measurement Problem In Quantum Mechanics, Adib Kabir

Student Publications

This paper examines the measurement problem in quantum mechanics and evaluates three major interpretations: the Copenhagen interpretation, the Many-Worlds Interpretation (MWI), and the Pilot-Wave theory. The Copenhagen interpretation posits that particles exist in superposition until measured, at which point their wave functions collapse. MWI suggests that all possible outcomes occur in separate, non-interacting branches of the universe, eliminating wave function collapse but introducing an infinite number of unobservable universes. The Pilot-Wave theory reintroduces determinism through hidden variables, guiding particles along definite paths. The paper concludes that the Copenhagen interpretation is the most plausible, balancing empirical adequacy, ontological clarity, and simplicity.

Exploring Practical Measures As An Approach For Measuring Elementary Students’ Attitudes Towards Computer Science, Umar Shehzad, Mimi M. Recker, Jody E. Clarke-Midura

Publications

This paper presents a novel approach for predicting the outcomes of elementary students’ participation in computer science (CS) instruction by using exit tickets, a type of practical measure, where students provide rapid feedback on their instructional experiences. Such feedback can help teachers to inform ongoing teaching and instructional practices. We fit a Structural Equation Model to examine whether students' perceptions of enjoyment, ease, and connections between mathematics and CS in an integrated lesson predicted their affective outcomes in self-efficacy, interest, and CS identity, collected in a pre- post- survey. We found that practical measures can validly measure student experiences.

Unveiling Gene Interactions In Alzheimer's Disease By Integrating Genetic And Epigenetic Data With A Network-Based Approach, Xiangning Chen, Zhongming Zhao

Faculty, Staff and Student Publications

Alzheimer’s Disease (AD) is a complex disease and the leading cause of dementia in older people. We aimed to uncover aspects of AD’s pathogenesis that may contribute to drug repurposing efforts by integrating DNA methylation and genetic data. Implementing the network-based tool, a dense module search of genome-wide association studies (dmGWAS), we integrated a large-scale GWAS dataset with DNA methylation data to identify gene network modules associated with AD. Our analysis yielded 286 significant gene network modules. Notably, the foremost module included the BIN1 gene, showing the largest GWAS signal, and the GNAS gene, the most significantly hypermethylated. We conducted …

Shutting Out Noise And Understanding Artificial Intelligence, Lauren J. Yu

Michigan Law Review

A review of Noise: A Flaw in Human Judgment. By Daniel Kahneman, Olivier Sibony and Cass R. Sunstein, and You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It’s Making the World a Weirder Place. By Janelle Shane.

Can Organizational Focus On Responsible Ai Lead To Improved Ai Adoption By Employees?, Seema Chokshi

Dissertations and Theses Collection (Open Access)

The duality inherent in Artificial Intelligence technology entails that while AI has the potential to bring about transformative benefits to organizations, unintended consequences of AI applications could lead to biased and discriminatory outcomes, which could have negative consequences for the organization and society in general. Concerns about such unintended consequences are an impediment to AI adoption where unwilling employees and practitioners often fear ethical breaches, thereby, negatively impacting their engagement with AI driven applications. In response to these concerns various organizations and regulatory bodies have developed governing frameworks broadly known as Responsible AI standards, that set guidelines to design, …

Methods, Analyses, And Applications Of Multilayer Temporal Link Prediction In Networks, Xie He

Dartmouth College Ph.D Dissertations

Many applications stem from the possibility of accurately predicting links in various types of networks. In this thesis, we present methods, analyses, and applications for static, temporal, and multilayer networks. The first part of this thesis demonstrates how static network features serve as efficient and accurate predictors for link prediction in temporal networks. It includes an ensemble learning method we developed and presents experimental results on 90 synthetic stochastic block models and 19 real-world datasets. The second part closely follows, showcasing 20 different sampling methods and their effects on nine different link prediction algorithms for 250 real-world networks across 6 …

Exploration Of The Mental Health Impacts Of Drought On Rural Nebraskans Via Remembered Perceptions, Grace Schleining

Department of Environmental Studies: Undergraduate Student Theses

Drought is a sociological phenomenon. It is a well-known occurrence across the midwestern United States; the drying out of the soil, the failing of crops, and the constant dryness and heat… this is all drought. Inspired by my earliest memory of this climate phenomenon I sought to determine whether we can identify evidence of negative mental health impacts and/or well-being in rural Nebraskans due to drought, thus my research question: Can we identify negative effects of drought on rural Nebraskan mental health and/or wellbeing? In this study, rural Nebraska community members, who are involved with the agricultural sector, were interviewed. …

W4-Groups: Modeling The Who, What, When And Where Of Group Behavior Via Mobility Sensing, Akansha Atrey, Camellia Zakaria, Rajesh Krishna Balan, Prashant Shenoy

Research Collection School Of Computing and Information Systems

Human social interactions occur in group settings of varying sizes and locations, depending on the type of social activity. The ability to distinguish group formations based on their purposes transforms how group detection mechanisms function. Not only should such tools support the effective detection of serendipitous encounters, but they can derive categories of relation types among users. Determining who is involved, what activity is performed, and when and where the activity occurs are critical to understanding group processes in greater depth, including supporting goal-oriented applications (e.g., performance, productivity, and mental health) that require sensing social factors. In this work, we …

Factors Predicting Public’S Willingness To Support National Aeronautics And Space Administration’S Artemis Mission, Sean Crouse

Doctoral Dissertations and Master's Theses

NASA's Artemis program aspires to return astronauts to the moon and aims to land the first woman and person of color on the lunar surface. The endeavor symbolizes the next evolution in space exploration and serves as a testament to the human spirit of discovery. In the face of this significant undertaking, gauging public sentiment and understanding the factors driving public support becomes necessary. The current study aimed to address a critical gap in the literature by examining public support for NASA’s Artemis mission, which is essential for sustaining the program’s momentum and cultivating a culture of innovation and exploration. …

Towards Low-Resource Rumor Detection: Unified Contrastive Transfer With Propagation Structure, Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng

Research Collection School Of Computing and Information Systems

The truth is significantly hampered by massive rumors that spread along with breaking news or popular topics. Since there is sufficient corpus gathered from the same domain for model training, existing rumor detection algorithms show promising performance on yesterday's news. However, due to a lack of substantial training data and prior expert knowledge, they are poor at spotting rumors concerning unforeseen events, especially those propagated in different languages (i.e., low-resource regimes). In this paper, we propose a simple yet effective framework with unified contrastive transfer learning, to detect rumors by adapting the features learned from well-resourced rumor data to that …

Teaching Software Development For Real-World Problems Using A Microservice-Based Collaborative Problem-Solving Approach, Yi Meng Lau, Christian Michael Koh, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Experienced and skillful software developers are needed in organizations to develop software products effective for their business with shortened time-to-market. Such developers will not only need to code but also be able to work in teams and collaboratively solve real-world problems that organizations arefacing. It is challenging for educators to nurture students to become such developers with strong technical, social, and cognitive skills. Towards addressing the challenge, this study presents a Collaborative Software Development Project Framework for a course that focuses on learning microservices architectures anddeveloping a software application for a real-world business. Students get to work in teams to …

Computational Modeling And Analysis Of Facial Expressions And Gaze For Discovery Of Candidate Behavioral Biomarkers For Children And Young Adults With Autism Spectrum Disorder, Megan Anita Witherow

Electrical & Computer Engineering Theses & Dissertations

Facial expression production and perception in autism spectrum disorder (ASD) suggest the potential presence of behavioral biomarkers that may stratify individuals on the spectrum into prognostic or treatment subgroups. High-speed internet and the ease of technology have enabled remote, scalable, affordable, and timely access to medical care, such as measurements of ASDrelated behaviors in familiar environments to complement clinical observation. Machine and deep learning (DL)-based analysis of video tracking (VT) of expression production and eye tracking (ET) of expression perception may aid stratification biomarker discovery for children and young adults with ASD. However, there are open challenges in 1) facial …

Trust And Contexts: A Conceptual Framework For Understanding Coastal Household Preparedness, Ogechukwu M. Agim Nwandu-Vincent

School of Public Service Theses & Dissertations

Despite research findings that show the benefits of being prepared for increasingly tumultuous natural and coastal hazard events, studies on hazard preparedness indicate that low levels of preparedness may occur in vulnerable areas due to the uncertainty around hazard risks, expected hazard onset and impact strength, as well as associated effects. Study findings indicate that trust may impact the uncertainty and complexity faced by people dealing with unfamiliar, infrequent, and complex hazards, as well as contexts such as factors such as age, gender, prior hazard experience, and homeownership.

While studies have looked at the relationship between trust and compliance (desired …