Digital Commons Network^™

Exploring The Intersection Of Sexual Identity And Route Of Administration In Relation To Cannabis Use Among Young Adult Females, Sarah J. Ehlke, Samantha A. Fitzer, Jennifer L. Shipley, Abby L. Braitman

Psychology Faculty Publications

Background and Objective: Rates of cannabis use continue to increase with sexual minority women (SMW) reporting greater use than heterosexual women. Along with these increasing trends, the routes of administration (ROA) for cannabis are evolving. The current study examined associations between cannabis ROA and frequency of use, as well as differences across sexual identity (heterosexual vs. SMW).

Methods: Participants were 949 young adult (18–25 years old) women (29.8% SMW) who reported past month cannabis use and were recruited through Amazon Mechanical Turk. Number of cannabis use days and each ROA used (joint, pipe, blunt, bong, vape, edible, and ointment) in …

Chapter 04: Cultural Sensitivity, Inclusion, And Social Presence In Instructional Message Design, Cheryl Cook-Posley

Instructional Message Design, Volume 3

It is critical for Instructional Designers (IDs) and Human Performance Technologists (HPTs) to consider the backgrounds of the learner to help them plan, develop, and design relevant and appropriate content for the audience of focus. The interests, assets, and needs of the learner must be researched and studied so the designer is able to fully know, empathize, understand, and design. Applying an audience centric approach equips designers to design culturally inclusive and sensitive instructional messages, as well as content that aligns with, are responsive to, and are respectful of diverse groups. In this way, IDs and HPTs can be able …

Go Beyond Compliance: Use Individualized Education Programs To Answer Strategic Questions And Improve Programs, Adrienne D. Woods, Marie C. Ireland, Kimberly Murphy, Hope Spark Lancaster

Speech-Language Pathology Faculty Publications

Purpose: The most significant document to ensure effective and compliant design, implementation, monitoring, and enforcement of a program of special education services in the United States is the Individualized Education Program (IEP). Although IEPs have been used to document procedural compliance with the Individuals with Disabilities Education Act (IDEA) for individual students, IEPs also provide extensive data that can and should be used by a variety of stakeholders including speech-language pathologists (SLPs), school administrators, and state education agencies to design targeted professional development and collectively improve programs, processes, and outcomes in special education.

Method: We summarize existing literature on the …

Delivering The Right Message For Maximum Impact In The Student Enrollment Journey, Ashley Miller

University Administration Publications

Meeting today's prospective college students where they are is key to staying ahead of current enrollment challenges. Understanding which messages resonate with which students and at certain parts of the enrollment funnel helps to ensure institutions are getting the right message, to the right student, at the right time in their journey. By utilizing a MaxDiff approach, one can better understand the impact a particular message has compared to others and which combination of messages will ultimately drive action. The maximum difference scaling (MaxDiff) method provides useful guidance on how enrollment professionals can better segment their communication strategies to their …

Mapping Cooperation: Insights Into Colombia's Humanitarian Response To Migration From Venezuela, Liss Dayana Romero, Jose J. Padilla, Katherine Palacio, Erika Frydenlund

VMASC Publications

Introduction: Since 2015, Colombia has faced a significant humanitarian challenge, receiving 2.9 million displaced Venezuelans. This study examines organizational cooperation in the humanitarian response to this migration crisis, aiming to understand the coordination dynamics among key organizations and actors.

Methods: Our research combined interviews and web scraping to gather data on key actors and their relationships in the humanitarian response. We employed Social Network Analysis (SNA) to examine these relationships and the collaborative strategies among entities, focusing on how they address the migration challenges.

Results: The results indicate that cooperation occurred through mediated channels, where established NGOs collaborated via coordination …

Patient Satisfaction Among Saudi Academic Hospitals: A Systematic Review, Ahmed Ali Alasiri, Saad A. Alotaibi, Eric Schussler

Rehabilitation Sciences Faculty Publications

Purpose: To systematically review the patient's satisfaction (PS) levels within academic hospitals in Saudi Arabia from January 2012 to the end of October 2022.

Data Sources: Articles were gathered from PubMed, ProQuest, Google Scholar and Web of Science.

Study selection/data extraction: This review identified studies that assessed PS in Saudi Arabian university hospitals. Articles published before January 2012, as well as commentary letters, conference papers, theses and dissertations, were excluded. The study employed the five domains of PS as outlined by Boquiren et al. Two independent reviewers independently identified qualifying studies, used the Joanna Briggs Institute tools …

Assessment Of Simultaneous Alcohol And Cannabis Use And Its Related Consequences And Cognitions In College Students: A Narrative Review, Jennifer L. Shipley, Abby L. Braitman

Psychology Faculty Publications

As rates of students using cannabis continue to rise, simultaneous use of alcohol and cannabis (such that their effects overlap; commonly referred to as simultaneous alcohol and marijuana [SAM] use) is prevalent among college students who use both substances. Although research focusing on SAM use and related cognitions and consequences continues to grow, there are no common established measures, as approaches vary across studies. This narrative review identifies current methods for assessing SAM use and measures of SAM-related consequences and cognitions (motives and expectancies) among college students, evaluates how they were developed, identifies gaps in the literature, and provides recommendations …

A Model For Community-Driven Development Of Best Practices: The Ocean Observatories Initiative Biogeochemical Sensors Data Best Practices And User Guide, Hilary I. Palevsky, Sophie Clayton, Heather Benway, Mairead Maheigan, Dariia Atamanchuk, Roman Battisi, Jennifer Batryn, Annie Bourbonnais, Ellen M. Briggs, Filipa Carvalho, Alison P. Chase, Rachel Eveleth, Rob Fatland, Kristen E. Fogaren, Jonathan Peter Fram, Susan E. Hartman, Isabela Le Bras, Cara C. M. Manning, Joseph A. Needoba, Merrie Beth Neely, Hilde Oliver, Andrew C. Reed, Jennie E. Rheuban, Christina Schallenberg, Ian Walsh, Christopher Wingard, Kohen Bauer, Baoshen Chen, Jose Cuevas, Susana Flecha, Micah Horwith, Melissa Melendez, Tyler Menz, Sara Rivero-Calle, Nicholas P. Roden, Tobias Steinhoff, Paulo Nicolás Trucco-Pignata, Michael F. Vardaro, Meg Yoder

OES Faculty Publications

The field of oceanography is transitioning from data-poor to data-rich, thanks in part to increased deployment of in-situ platforms and sensors, such as those that instrument the US-funded Ocean Observatories Initiative (OOI). However, generating science-ready data products from these sensors, particularly those making biogeochemical measurements, often requires extensive end-user calibration and validation procedures, which can present a significant barrier. Openly available community-developed and -vetted Best Practices contribute to overcoming such barriers, but collaboratively developing user-friendly Best Practices can be challenging. Here we describe the process undertaken by the NSF-funded OOI Biogeochemical Sensor Data Working Group to develop Best Practices for …

Older And Wiser? Relative Age And College Course Failure, P. Wesley Routon, Jay K. Walker

Economics Faculty Publications

A student's relative age in their schooling cohort has been shown related to several measures of academic and labor market success. Here, we focus on a singular outcome: the probability of college course failure. Even within a sample constrained to students with traditional academic progression and who completed their college degree program, we find evidence relatively younger students were more likely to fail courses. The estimated impact is larger for males, minorities, and those with less academic success before college. Statistical significance remains constant across the parental income distribution. Students within the sample represent over 600 colleges and universities across …

Book Challenges Popping Up All Over: What Do School Principals Need To Know?, Samantha Laine Hull, Sue Kimmel

STEMPS Faculty Publications

This chapter provides practical advice and reasons for school leaders to support students' intellectual freedom through their support of school libraries and school librarians. The chapter begins with a short but critical literature review that includes case law on the topic of censorship in schools. The concerns of teachers and librarians from a recent study are summarized and help build the foundation for practical and ready to use advice for any school leaders to uphold the intellectual freedom of all students.

The Association Of Skin Cancer Prevention Knowledge, Sun-Protective Attitudes, And Sun-Protective Behaviors In A Navy Population, Rachel Newnam, Uyen Le-Jenkins, Carolyn Rutledge, Craig Cunningham

Nursing Faculty Publications

Introduction: U.S. Navy service members are primarily between the ages of 18 and 30 years and often required to be outside for extended periods of time in geographical locations with increased and often unfamiliar ultraviolet indexes that collectively increase their risk for skin cancer. Skin cancer is the country's most common form of cancer, yet there is a paucity of skin cancer prevention literature, especially within the U.S. Navy. The purpose of this study was to describe skin cancer risk and skin cancer prevention "cues-to-action" and to determine if skin cancer prevention knowledge was associated with sun-protective attitudes (e.g., prevention …

Ai-Designed Clothing And Perceived Values: What Can Move Consumers' Minds With The Ai-Designed Clothing?, Choi Dooyoung, Ha Kyung Lee

STEMPS Faculty Publications

This study investigates the perceived values of AI-designed clothing (quality, emotion, ease) and their impact on willingness to pay (WTP) and word-of-mouth (WOM), with the moderating effect of gender differences. A total of 314 respondents completed the survey via MTurk. Participants watched a video clip demonstrating how an AI system creates various clothing designs by altering garment elements (e.g., style, size). After watching the video clip, they were asked to answer a series of questions about the AI-designed clothing and themselves. The collected data were analyzed using AMOS 26.0. Results showed that, for male and female consumers, the quality value …

Identifying Patterns For Neurological Disabilities By Integrating Discrete Wavelet Transform And Visualization, Soo Yeon Ji, Sampath Jayarathna, Anne M. Perrotti, Katrina Kardiasmenos, Dong Hyun Jeong

Computer Science Faculty Publications

Neurological disabilities cause diverse health and mental challenges, impacting quality of life and imposing financial burdens on both the individuals diagnosed with these conditions and their caregivers. Abnormal brain activity, stemming from malfunctions in the human nervous system, characterizes neurological disorders. Therefore, the early identification of these abnormalities is crucial for devising suitable treatments and interventions aimed at promoting and sustaining quality of life. Electroencephalogram (EEG), a non-invasive method for monitoring brain activity, is frequently employed to detect abnormal brain activity in neurological and mental disorders. This study introduces an approach that extends the understanding and identification of neurological disabilities …

Navigating New Normals: Student Perceptions, Experiences, And Mental Health Service Utilization In Post-Pandemic Academia, Hadiza Galadima, Anne Dumadag, Cara Tonn

Community & Environmental Health Faculty Publications

This study explores the profound impacts of the COVID-19 pandemic on higher education, focusing on shifts in learning experiences and students’ intentions to utilize mental health services post-pandemic. Utilizing Andersen’s Behavioral Model of Health Services Use, this study assesses perceptions from a stratified random sample of college students on post-pandemic learning experiences and mental health service utilization intentions. Findings reveal a positive reception to university initiatives and a preference for ongoing virtual classes. There is an evident increase in, and varying intentions for, using mental health services, shaped by demographics, employment, and prior service utilization. Younger and female students showed …

Montana As Place Of (Un)Belonging: Landscape, Identity, And The American West In Bella Vista (2014), Najmeh Moradiyan-Rizi

Communication & Theatre Arts Faculty Publications

The American West is not just a geographical terrain but a mythical construct that occupies a powerful place in the popular imagination thanks to myriad literary and artistic works that have presented the region through specific archetypes emphasizing its vast ruggedness, white masculinity, and unique Americanness. In recent decades, revisionist scholarly and artistic works, however, have attempted to offer more nuanced perspectives on the region challenging its assumed homogenous history and fixed and stable identity. In particular, women filmmakers have recast the region through multifaceted representations underlining its complexity, diversity, and transnational dimensions. This article analyzes Vera Brunner-Sung’s film Bella …

Machine Learning As A Tool For Early Detection: A Focus On Late-Stage Colorectal Cancer Across Socioeconomic Spectrums, Hadiza Galadima, Rexford Anson-Dwamena, Ashley Johnson, Ghalib Bello, Georges Adunlin, James Blando

Community & Environmental Health Faculty Publications

Purpose: To assess the efficacy of various machine learning (ML) algorithms in predicting late-stage colorectal cancer (CRC) diagnoses against the backdrop of socio-economic and regional healthcare disparities. Methods: An innovative theoretical framework was developed to integrate individual- and census tract-level social determinants of health (SDOH) with sociodemographic factors. A comparative analysis of the ML models was conducted using key performance metrics such as AUC-ROC to evaluate their predictive accuracy. Spatio-temporal analysis was used to identify disparities in late-stage CRC diagnosis probabilities. Results: Gradient boosting emerged as the superior model, with the top predictors for late-stage CRC diagnosis being anatomic site, …

Patient Perceptions Of Audio-Only Versus Video Telehealth Visits: A Qualitative Study Among Patients In An Academic Medical Center Setting, Ryan Kruis, Elizabeth A. Brown, Jada Johnson, Kit N. Simpson, James Mcelligott, Jillian Harvey

Community & Environmental Health Faculty Publications

Introduction: Telehealth utilization surged during the COVID-19 pandemic, offering expanded health care access. Audio-only visits emerged as a crucial tool for patients facing technology or connectivity barriers to still use telehealth. This qualitative study aims to better understand patient perceptions of audio-only versus video telehealth visits during the COVID-19 pandemic, and how patients perceive the role of each in their overall health care. Methods: Semi-structured interviews were conducted with 14 adult patients seeking care at an academic medical center located in the Southeast region of the United States. Patients had experienced both an audio-only and video telehealth visit within the …

Infusing Machine Learning And Computational Linguistics Into Clinical Notes, Funke V. Alabi, Onyeka Omose, Omotomilola Jegede

Mathematics & Statistics Faculty Publications

Entering free-form text notes into Electronic Health Records (EHR) systems takes a lot of time from clinicians. A large portion of this paper work is viewed as a burden, which cuts into the amount of time doctors spend with patients and increases the risk of burnout. We will see how machine learning and computational linguistics can be infused in the processing of taking clinical notes. We are presenting a new language modeling task that predicts the content of notes conditioned on historical data from a patient's medical record, such as patient demographics, lab results, medications, and previous notes, with the …

Muslim Collegiate Student-Athletes' Experience With Fasting During Ramadan While Participating In Sport, Mishaal Amjad, Julie M. Cavallario, Nicolette A. Harris, Cailee E. Welch Bacon

Rehabilitation Sciences Faculty Publications

Context: As colleges and universities continue to focus on creating diverse, equitable, and inclusive environments, it is important to gain more knowledge on the experiences that Muslim student-athletes have while fasting during the month of Ramadan. While previous researchers have investigated the physical effects of fasting on the body, little is known about the challenges or support Muslim student athletes experience while fasting and participating in sport during Ramadan.

Objective: To explore the experiences of Muslim collegiate student-athletes regarding fasting during Ramadan while participating in sports.

Design: Consensual qualitative research.

Setting: Individual video interviews.

Participants: 12 Muslim collegiate student-athletes (4 …

Influences Of Athletic Trainers' Return-To-Activity Assessments For Patients With An Ankle Sprain, Ryan S. Mccann, Cailee E. Welch Bacon, Ashley M. B. Suttmiller, Phillip A. Gribble, Julie M. Cavallario

Rehabilitation Sciences Faculty Publications

Context: Athletic trainers (ATs) inconsistently apply rehabilitation-oriented assessments (ROASTs) when deciding return-to-activity readiness for patients with an ankle sprain. Facilitators and barriers that are most influential to ATs' assessment selection remain unknown.

Objective: To examine facilitators of and barriers to ATs' selection of outcome assessments when determining return-to-activity readiness for patients with an ankle sprain.

Design: Cross-sectional study.

Setting: Online survey.

Patients or other participants: We sent an online survey to 10 000 clinically practicing ATs. The survey was accessed by 676 individuals, of whom 574 submitted responses (85% completion rate), and 541 respondents met the inclusion criteria.

Main outcome …

Assessments Used By Athletic Trainers To Decide Return-To-Activity Readiness In Patients With An Ankle Sprain, Ryan S. Mccann, Cailee E. Welch Bacon, Ashley M. B. Suttmiller, Phillip A. Gribble, Julie M. Cavallario

Rehabilitation Sciences Faculty Publications

Context: Athletic trainers (ATs) often care for patients with ankle sprains. Expert consensus has been established for rehabilitation-oriented assessments (ROASTs) that should be included in ankle-sprain evaluations. However, the methods ATs use to determine return-to-activity readiness after an ankle sprain are unknown.

Objectives: To identify ATs' methods for determining patients' return-to-activity readiness after an ankle sprain and demographic characteristics of the ATs and their methods.

Setting: Online survey.

Design: Cross-sectional study.

Patients or Other Participants: We recruited 10 000 clinically practicing ATs. A total of 676 accessed the survey, 574 submitted responses (85% completion rate), and 541 respondents met the …

Predicting The Need For Cardiovascular Surgery: A Comparative Study Of Machine Learning Models, Arman Ghavidel, Pilar Pazos, Rolando Del Aguila Suarez, Alireza Atashi

Engineering Management & Systems Engineering Faculty Publications

This research examines the efficacy of ensemble Machine Learning (ML) models, mainly focusing on Deep Neural Networks (DNNs), in predicting the need for cardiovascular surgery, a critical aspect of clinical decision-making. It addresses key challenges such as class imbalance, which is pivotal in healthcare settings. The research involved a comprehensive comparison and evaluation of the performance of previously published ML methods against a new Deep Learning (DL) model. This comparison utilized a dataset encompassing 50,000 patient records from a large hospital between 2015-2022. The study proposes enhancing the efficacy of these models through feature selection and hyperparameter optimization, employing techniques …

Women Leaders' Lived Experiences Of Bravery In Leadership, Michelle E. Bartlett

Educational Leadership & Workforce Development Faculty Publications

Purpose

The research aims to understand the stories of women leaders who have demonstrated bravery in leadership. By analyzing their lived experiences through storytelling and narratives, it seeks to shed light on the challenges and motivations behind their brave actions, contributing to a deeper understanding of bravery in leadership within gender and organizational contexts.

Design/methodology/approach

This study adopts a qualitative multiple case study approach, focusing on the autobiographical accounts of three women leaders to explore their experiences of bravery in leadership. Utilizing narrative analysis (NA), it is grounded in ethical leadership theory and narrative identity theory. The research method involves …

That Garden Of Hope, Bhavika Sicka

Educational Leadership & Workforce Development Faculty Publications

The poem explores themes of freedom of speech, the power of words, and the pursuit of knowledge.

Educating Future Leaders In Fraternities: Outcomes From Participation In A National Fraternity Emerging Leaders Program, Meghan Grace, Pietro A. Sasso, Kim E. Bullington, Dawn Wiese, Kathleen Stedman, Xinyue "Coco" Liu, Anthony M. Graziani

Educational Leadership & Workforce Development Faculty Publications

Campus engagement opportunities such as leadership development have potential for students to strengthen their personal skills. As such, fraternities and sororities can play an influential role in strengthening students’ leadership skills. The present study examines the efficacy of a fraternity emerging leaders program, which is an educational opportunity focused on the development of new leaders. Data were collected from participants at three time intervals. Findings suggest students develop across several leadership domains, creating a stronger appreciation of their organizational values and fraternity ritual compared to non-participants. Recommendations for practice are included to address the transfer problem of leadership application and …

Exploring The Potential Of Utilizing Esports In The Development Of Workforce Communication And Collaboration Skills, Anthony Gray, James Bartlett

Educational Leadership & Workforce Development Faculty Publications

This study explores the potential of esports in workforce development, specifically for enhancing the communication and collaboration skills of Generation Z. As Generation Z enters the job market, a gap in necessary communication and collaboration skills has become evident. Esports, previously studied for its social skill development benefits (Nielson & Hanghoj, 2019), offers a unique platform for skill enhancement. Adopting a social constructivist framework (Shabani et al., 2010), this research investigates how esports participation can bridge this skill gap, crucial for career retention and progression. Through a mixed-method approach involving surveys and player evaluations, the study aims to assess skill …

Unwritten Ground Rules Of School Choice: Excavating Capital As A Regulator Of Access To Educational Goods, Jason E. Saltmarsh

Educational Leadership & Workforce Development Faculty Publications

District leaders in school choice contexts tend to overlook the many hidden costs of selecting schools in terms of mobility, time, liquidity, and labor. Meanwhile, a body of literature on school choice policies and cultural, social, and political capital shows that middle-class parents use the resources they possess to get the school access they want. In this study, I critically examine the complex interplay between school choice policies and forms of capital. This analysis extends our empirical understanding of the political dimensions of families’ school choices—the way parent resources, relationships, and strategies determine “who gets what, when, and how” (Laswell, …

Is The Gi Bill Enough? An Exploratory Analysis Of Student Veteran Borrowing In College, Kim E. Bullington, Kaycee L. Bills, David J. Thomas, William L. Nuckols, Joshua L. Howell

Educational Leadership & Workforce Development Faculty Publications

In the United States, many student veterans use their GI Bill benefits to help fund their postsecondary education; however, when the GI Bill is not enough, student veterans may turn to grants and loans to subsidize their financial needs. This study examines the degree and extent to which Pell Grants and student loans are being used by student veterans using data pulled from the National Center for Education Statistics’ Baccalaureate and Beyond dataset. We found that Pell Grant awards were higher for student veterans with disabilities as well as Blacks and that a student’s age contributed to the overall amount …

The Role Of Shopping Orientations And Intrinsic Experiential Value In Consumer's Willingness To Follow Embodied-Ai's Advice In Fashion Shoe Stores, Christina Soyoung Song, Ji Young Lee, Dooyoung Choi

STEMPS Faculty Publications

This study employs a synthesis of Intrinsic Motivation Theory with three shopping orientations, namely “adventure,” “idea,” and “personalized” shopping, in order to examine their potential influence on individuals' motivation towards shopping. We proposed that consumers’ experiential value of intrinsic enjoyment is an indispensable mediator that affects their willingness to follow EAI’s advice. The study offers novel insights into the way that consumers’ characteristics of influencing others’ clothing consumption affect their shopping motivations to find adventure and stimulation, keep up with new fashion trends and products information, and their preference to patronize stores and interact with store staff on a personal …

Differences In Student-Ai Interaction Process On A Drawing Task: Focusing On Students' Attitude Towards Ai And The Level Of Drawing Skills, Jinhee Kim, Yoonhee Ham, Sang-Soog Lee

STEMPS Faculty Publications

Recent advances and applications of artificial intelligence (AI) have increased the opportunities for students to interact with AI in their learning tasks. Although various fields of scholarly research have investigated human-AI collaboration, the underlying processes of how students collaborate with AI in a student-AI teaming scenario have been scarcely investigated. To develop effective AI applications in education, it is necessary to understand differences in the student-AI interaction (SAI) process depending on students' characteristics. The present study attempts to fill this gap by exploring the differences in the SAI process amongst students with varying drawing proficiencies and attitudes towards AI in …