Digital Commons Network^™

Eat-26 As A Stable Measure Of American College Athletes: Diet, Food, Preoccupancy, And Calorie Counting As Predictors Of Health, Simrin Raju

Undergraduate Student Symposium

This study examines the structure and reliability of the Eating Attitudes Test (EAT-26) in a sample of 144 college athletes. The EAT-26 is commonly used to measure eating attitudes but is not intended to diagnose eating disorders. The study aims to confirm if the test's factor structure, which has been stable since its development in 1979, remains consistent in this new group. The results show that the EAT-26 continues to reflect three main factors—Dieting, Preoccupation with Food (Others Notice) and Calorie Counting (Oral Control). These factors accounted for the majority of the variation in responses, with "Dieting" being the most …

Identifying Key Characteristics In Aspiring Healthcare Professionals: A Strengths And Preference Profile Analysis On Emotional Intelligence, Abbygail Salcido, Emily Young

Undergraduate Student Symposium

Topic: As undergraduate students in a pre-health path or an advisor for these students, understanding one's priorities, strengths, and motivations is crucial for self-awareness and career clarity. This understanding is pivotal in guiding students toward a fulfilling and appropriate career choice. Purpose: Our study aims to identify the characteristics of students with the potential to excel as Optometrists - a profession known for its emphasis on patient care, attention to detail, and creative intuition. In our current investigation, we assessed 125 students aspiring to become Optometrists. Each participant completed a strengths inventory and a positive psychology-based personal preference test. According …

The Current - Volume 35 Issue 11, Nova Southeastern University

Student Newspapers

No abstract provided.

Exploring The Causes Of Plwha Non-Adherence With Antiretroviral Therapy: Implications For Practice In The Post-Covid-19 Era, A Phenomenological Study, Adriani Suwito, Evi Hasnita, Nurhayati -. Nurhayati, Oktavianis -. Oktavianis

The Qualitative Report

One of the goals of HIV/AIDS health services is to combat patients’ non-adherence with medication. This is the key to providing effective care for these patients. If a patient is rebellious or undisciplined in following his treatment regimen, the consequences can include decreased production, increased morbidity, and even death. However, in the post-COVID-19 period, where health protocol adherence remains strong, there are concerns regarding the potential spread of HIV/AIDS. The purpose of this qualitative phenomenon study is to investigate the factors that contribute to non-adherence to medicine in HIV/AIDS patients during the post-COVID-19 condition to remove barriers to patient treatment. …

The Current - Volume 35 Issue 10, Nova Southeastern University

Student Newspapers

No abstract provided.

Salmon As An Ecological Pathway Of Contaminants Into Alaskan Food Webs, Miranda Brohman, Gretchen Roffler, Dimitri G. Giarikos, David Kerstetter, Amy C. Hirons

SECLER Data

Salmon are important fish taxa for humans and animals in hemiboreal and subarctic ecosystems. Trace elements and their marine food web bioaccumulation raises biomagnification and potential human health risk concerns. Sixteen trace element concentrations and their health risk assessments were determined in seven different tissues of two Southeast Alaska salmon species (chum, Oncorhynchus keta and pink, Oncorhynchus gorbuscha). Chum tissues had overall higher trace element concentrations compared to pink, which may be attributed to a difference of diets, generally longer-lived and spending more time in the open ocean. All kidney and liver samples exceeded the tolerable daily intake for …

Shiny New Beginnings: Reaching For Celestial Bodies In Romance And Research, Alexandra C. H. Nowakowski

The Qualitative Report

This commentary explores a series of social fiction novels about relationships through the lens of ethnographic research. It amplifies the lessons about love and life from Dr. Patricia Leavy’s Celestial Bodies series focused around two people with complex trauma finding kinship and healing with one another after a chance meeting. In the process, it uplifts the rigor and uniqueness of Leavy’s methods in translating findings from many years of observational research with people in different kinds of relationships to the social fiction format whose name she coined herself. In journeying through a shared life with main protagonists Tess Lee and …

The Current - Volume 35 Issue 9, Nova Southeastern University

Student Newspapers

No abstract provided.

Looking Beyond Numbers In Qualitative Research: From Data Saturation To Data Analysis, Prokopis Christou Phd

The Qualitative Report

In the realm of qualitative research, numbers have often been viewed with skepticism, and their role remains controversial. Despite this ambivalence, the importance of numerical data in qualitative research cannot be disregarded. This paper critically examines the increasing integration of numbers and algorithms, particularly through Artificial Intelligence (AI) technologies, within qualitative inquiry. It explores the role and implications of numerical data, emphasizing key principles such as data saturation. The paper highlights concerns associated with AI-assisted data analysis, including the risks of oversimplification, reductionist approaches, and detachment from context. It also addresses the potential dangers of technological over-reliance during the analysis …

Enhancing Learning In The Uae: Exploring Chatgpt As A More Knowledgeable Other (Mko) In Science And Non-Science Courses In The Uae, Nagaletchimee Annamalai, S. Abdellatif, Gaforov Ikboljon Uktamovich, Bilal Mohammed Zakarneh

The Qualitative Report

This study examines the role of ChatGPT as a More Knowledgeable Other (MKO) in educational settings, encompassing both scientific and non-scientific courses. A qualitative case study involved 20 educators from higher education institutions. Data collection was conducted through semi-structured interviews, and the collected data was subsequently analysed using the thematic analysis suggested by Braun and Clarke (2006). The findings emphasize the significance of validating educational resources and maintaining control over their usage to mitigate issues related to plagiarism and uphold academic integrity. ChatGPT serves as an MKO by guiding learners in enhancing their technical writing skills and aiding in information …

Asymptotic Matrix Behaviors And Iterative Algorithms, Tin-Yau Tam

Mathematics Colloquium Series

This presentation examines the asymptotic behavior of matrix iterations, focusing on the QR and LR algorithms and their significance in eigenvalue computation. It highlights foundational developments by Rutishauser, Francis, and Kublanovskaya and modern refinements by Huang and Tam, particularly on matrix decompositions and spectral properties. Extensions of Yamamoto’s theorem, including recent works by Nayak and Shekhawat, and Huang and Tam, are discussed, connecting iterative processes to spectral radius formulas and Jordan decompositions. This is a joint work with Huajun Huang of Auburn University.

Artificial Intelligence Meets Quantum, Raul Coto Cabrera

Mathematics Colloquium Series

This talk will provide an overview of the ubiquitous field of artificial intelligence, the growing field of quantum computers, and their intersection, quantum machine learning. This new branch harnesses the combined potential of its predecessors to unlock groundbreaking applications. I will briefly introduce the paradigms of AI and fundamental concepts around it. We will discuss algorithms that learn and make decisions based on data, as well as neural networks that are data-free, that is, learned from models.

Pull Or Play? The Interpretation Of A Novel, Ai-Powered On-Field Decision Support Tool., Lynne Becker, Dafne Badilla, Osho Yonzon, Xiaoyu Wu, Roland Rocafort, Erik Viogan Phd, Devansh Manocha

Journal for Sports Neuroscience

The document titled "Pull or Play? The interpretation of a novel, AI-powered on-field decision support tool" explores the development and application of the Injury Impact Severity Score (IISS)™ for assessing traumatic brain injuries (TBIs), particularly in sports settings. It addresses the limitations of current assessment tools like the Glasgow Coma Scale (GCS) and proposes a more objective approach using patient-reported data and machine learning algorithms.

Key points include:

• Background: TBIs are a significant health concern with under-reported cases and a lack of effective research. Current assessment tools like the GCS have limitations in accuracy and speed, especially in dynamic …

Congenital Rickets, Melissa Intriago

Mako: NSU Undergraduate Student Journal

No abstract provided.

One Heart, One Vessel: Unraveling The Mystery Of Truncus Arteriosus, Claudette C. Artiles

Mako: NSU Undergraduate Student Journal

No abstract provided.

What’S New In Esophageal Atresia Treatment?, Alexandra N. Jimenez Gonzalez

Mako: NSU Undergraduate Student Journal

No abstract provided.

Autoethnographic Action Research As A Contemplative Practice: Awareness And Transformation Of Inner And Outer Selves, Jiju Varghese, Bal Chandra Luitel, Niroj Dahal

The Qualitative Report

Contemplation as a spiritual practice has taken various forms across different religious traditions and regions worldwide. Over the years, various contemplative practices have evolved and become popular even outside religious traditions to promote the well-being of all for inner and outer selves’ transformation. In education, many scholars worldwide have expounded on the benefits of contemplative practices in the classroom for students and teachers. Contemplative practices have penetrated research practices in the form of contemplative inquiry considering performative, philosophical, and artistic transformations, where researchers enter into a deep, thoughtful, and reflective introspective journey to see the connection between what is seen …

Bachelor Of Science In Professional Management-The Cluster- A Distinctive Approach To Education [No Date], Nova Southeastern University

Huizenga Undergraduate Course Catalogs

No abstract provided.

Bachelor Of Science In Professional Management-The Cluster- A Distinctive Approach To Education [No Date], Nova Southeastern University

Huizenga Undergraduate Course Catalogs

No abstract provided.

Professional Skills Program -The Cluster- A Distinctive Approach To Education [No Date], Nova Southeastern University

Huizenga Undergraduate Course Catalogs

No abstract provided.

Bachelor Of Science In Professional Management, Nova Southeastern University

Undergraduate Programs Course Catalogs

No abstract provided.

Bachelor Of Science In Professional Management, Nova Southeastern University

Undergraduate Programs Course Catalogs

No abstract provided.

Implementing Rsa Accumulators For Asynchronous And Permissionless Reliable Broadcasting, Eric Webb

CCAC Theses and Dissertations

Asynchronous consensus protocols are essential for decentralized and trustless environments such as decentralized finance (DeFi), supply chain management, and voting systems. These protocols eliminate centralized authority and timing assumptions while improving resilience and security. However, as network sizes increase the communication overhead in these systems becomes a bottleneck that limits scalability and efficiency. One notable example is the Aleph protocol, which stands out as one of the first consensus protocols to be both asynchronous and permissionless while providing Byzantine Fault Tolerance. Unlike many existing asynchronous consensus mechanisms, Aleph is permissionless in nature and does not rely on a trusted dealer …

Nsu - Professional Skills Program Curriculum And Application, Nova Southeastern University

Undergraduate Programs Course Catalogs

No abstract provided.

2025 F1rst Look, Nova Southeastern University

First Look

No abstract provided.

A Study Of User Experiences Of Pediatric Physicians With Electronic Health Record Systems: Encounters With Task Complexity And Efficiency Of User Task Flows, Roseanne Alhindi

CCAC Theses and Dissertations

way patient information is stored, managed, and accessed. This transition to Electronic Health Record (EHR) systems has enhanced the efficiency and accuracy of healthcare delivery by enabling quick access to patient records, reduction of errors, and facilitation of coordination among healthcare providers. In the EHR system, diverse tasks are performed for clinical processes and patient care. These tasks can be considered simple or complex, ranging from documenting patient visits and updating medical histories to ordering tests and managing prescriptions. Although EHR systems have become more prevalent in their use, there are noted challenges associated with the design of the system …

Examining The Disclosure Of Sensitive Information Through Mobile Applications: A Privacy Calculus And Warning Experiment On Location-Based Services, Dwayne A. Ford

CCAC Theses and Dissertations

Smartphones and mobile applications have become all but ubiquitous in society. These applications provide a plethora of functions both in standalone and network configurations. Many of these popular applications utilize Location-Based Services (LBS) to deliver value to the user. Whether for navigation, transportation or social interactions, sharing information is essential when using these applications. While LBS applications provide various benefits, the sharing of location data also creates significant privacy risks. In many cases, users are unaware of the real risks and continue to share their location data in exchange for the benefits the application provides.

The problem identified in this …

A Hybrid Deep Learning Model For Iot Network Anomaly Detection, Yonas Getachew Mulissa

CCAC Theses and Dissertations

The rapid expansion of Internet of Things (IoT) networks has heightened the need for intelligent, automated Anomaly Detection (AD) systems to identify sophisticated and evolving cyber threats. This study designed, implemented, and evaluated a broad range of deep learning models—including Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNNs) (Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Bidirectional Gated Recurrent Unit (BiGRU), Bidirectional Long Short-Term Memory (BiLSTM)), Transformer-based architectures, Autoencoders, and hybrid combinations—to address the challenge of multiclass anomaly classification in IoT traffic. Using two benchmark datasets, IoT-DS-2 and CIC-IoT-2023, we conducted extensive experiments to assess classification performance, training efficiency, and …

Development Of A Phishing Risk Exposure Taxonomy On Mobile Devices In The Healthcare Industry, Christopher P. Collins

CCAC Theses and Dissertations

Phishing emails accessed on mobile devices present substantial risks to healthcare organizations when employees often operate under high cognitive load and with limited cybersecurity training. Despite widespread security awareness initiatives, healthcare workers continue to engage with phishing content on mobile platforms, posing threats to organizational data. Given the high value of healthcare data and the increasing sophistication of phishing schemes targeting healthcare professionals, there is a pressing need to enhance their ability to recognize phishing indicators on mobile devices.

This study developed and validated a Healthcare Workers Phishing Risk Exposure (HWPRE) taxonomy, designed to classify healthcare workers based on their …

An Evaluation Of Data Protection And Privacy Issues Introduced By Byod In Financial Institutions, Andy Miguel Santana

CCAC Theses and Dissertations

The idea of “bring your own device” (BYOD) allows organizational employees to conduct their tasks or processes on their own personal devices, has increased organizational efficiency significantly while allowing employees more flexibility. However, this approach also introduces major concerns about the security of organizational data as employees take their devices everywhere with them, opening more opportunities for unauthorized access to important data. Another major concern is the privacy of employee personal data. As many organizations implement BYOD, employees worry that with organizational monitoring and device management, their personal data is at risk as well. The problem this study tackles is …