Digital Commons Network^™

The Association Between Cyber Behaviors And Hedonic And Eudaimonic Well-Being: The Moderating Role Of Personality Traits, Areej Elsayary, Juan Calmaestra, Mercedes Gómez-López

All Works

The increasing integration of digital technologies into everyday life has intensified engagement in various cyber behaviors, raising important questions about their relationship with individuals' well-being. This study examined the associations between online moral disengagement, problematic internet use (compulsive internet use), benign and toxic disinhibition, cyberaggression, and cybervictimization with both hedonic and eudaimonic well-being among emerging adults in the United Arab Emirates. Furthermore, it explores the moderating role of personality traits in these associations. Data were collected from 671 emerging adults (46.8% women) aged 18–29 years (M = 22.56; SD = 3.04). Results showed that cybervictimization and cyberaggression exhibited the strongest …

Infant Hippocampal And Amygdala Volume In An Observational Follow-Up From A Randomized Clinical Trial For Maternal Prenatal Depression, Catherine H. Demers, Benjamin L. Hankin, Lillybelle K. Deer, Robert J. Gallop, Mercedes Hoeflich Haase, M. Camille Hoffman, Martin A. Styner, Nancy K. Grote, Elysia Poggi Davis

Psychology: Data Sets

Prenatal maternal depression may have intergenerational effects on offspring brain development, with potential socioemotional consequences. In an observational follow-up of a randomized clinical trial of a prenatal depression intervention (the CARE Project; ClinicalTrials.gov NCT03011801), brain development and subsequent negative emotionality were examined among 109 infants born to mothers randomized during pregnancy to brief interpersonal psychotherapy or enhanced usual care. These data include MRI-derived hippocampal and amygdala volumes at approximately 6 weeks of age and a laboratory-based assessment of infant negative emotionality at 6 months.

Resulting Publication: Infant hippocampal and amygdala volume in an observational follow-up from a randomized clinical trial …

Concordia Seminary Magazine Spring 2026, Ken Ohlemeyer

Concordia Seminary Magazine

Shaped for His Service

Modeling Generative Ai Adoption In Higher Education: An Integrated Tam–Tpb–Sdt Framework With Sem Validation, Dina Tbaishat, Omar Alfandi, Faten Hamad, Syed Muhammad Salman Bukhari, Suha Al Muhaissen

All Works

This study investigates the determinants of university students' adoption of generative artificial intelligence (GAI) tools in higher education. Integrating the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), and Self-Determination Theory (SDT), it develops and tests a complete model that captures cognitive, social, and motivational influences on adoption. A cross-sectional survey was conducted among 517 undergraduate and postgraduate students at Jordanian universities. The data were analyzed using structural equation modeling (SEM) with a two-step approach: confirmatory factor analysis (CFA) to validate the measurement model, followed by SEM to test the hypothesized structural relationships. Reliability, validity, measurement invariance across …

The Association Between Ethical Ai Use And Well-Being Among Young Adults In The Uae: A Structural Equation Modeling Approach, Areej Elsayary, Zeina Hojeij, Lames Abdul Hadi

All Works

This study examines the association between ethical AI use and young people’s emotional, social, and psychological well-being in the United Arab Emirates (UAE), where the number of hours spent on GenAI serves as a moderator. Framed within the Theory of Planned Behavior and aligned with the Sustainable Development Goals (SDGs), particularly SDG 3 (Good Health and Well-being) and SDG 13 (Climate Action), this research examines how responsible digital engagement is associated with both individual mental health and broader digital sustainability. A Structural Equation Modeling approach assessed how ethical AI behaviors are associated with well-being. A total of 204 participants, predominantly …

Insights Of Pre-Service Teachers In The Uae On Ai-Infused K-12 Classrooms: Implications For Policy And Curricula In Teacher Education, Ayman Massouti, Nessrin Shaya, Sandra Baroudi

All Works

No abstract provided.

Beyond Religious Narcissistic Identification: Agnostic And Atheistic Narcissism, Magdalena Żemojtel-Piotrowska, Jarosław Piotrowski, Bartłomiej Nowak, Vassilis Saroglou, John Maltby, Constantine Sedikides, Mladen Adamovic, Nur Amali Aminnuddin, Seth Christopher Yaw Appiah, Rahkman Ardi, Zana Hasan Babakr, Einar Baldvin Baldursson, Sergiu Bălțătescu, Muhammed Bilgehan Aytaç, Aidos Bolatov, Bruno Bonfá-Araujo, Matthias Burghart, Phatthanakit Chobthamkit, Marilyn Clark, Magali Clobert, Richard G. Cowden, Jesus Alonso Datu, Sandesh Dhakal, Sonya Dragova-Koleva, Begoña Espejo, Dmitry Grigoryev, Emanuela Gritti, Katherine Gundolf

All Works

Agnosticism and atheism are often grouped simply as nonreligious identities, yet emerging research highlights their distinct psychological profiles and social implications. Among these distinctions, collective narcissism–characterized by strong attachment to one’s group, exceptionalism, and grievance for recognition–offers a framework for understanding identity processes in both nonreligious groups. We examined whether agnostics and atheists exhibit collective narcissism and its forms (agentic–focused on exceptional effectiveness; communal–focused on exceptional morality) similarly to believers. We explored cross-denominational variance in agentic and communal collective narcissism levels relying on data from 77 countries (N = 3,570; 1227 agnostics, 2343 atheists). Agnostics and atheists from secular countries …

Companionships, Transportation, And Health Among Members Of A Hispanic Senior Center: A Sociometric Social Network Dataset, Rebecca Mauldin Phd, Msw, Vismaya Prakasan Msis, Akshay Thakare Msis, Rupal Parekh Phd

Social Networks for Social Good Collection-Archive

This dataset contains survey and social network data from 42 members of a predominantly Puerto Rican senior center in Hartford, Connecticut. It includes two linked components (1) participant-level information on demographics, health, mobility, and transportation, and (2) a sociometric network of companionship ties among members. The data are designed for use in social network analysis and research on aging, mobility, and social relationships. These data can be used to explore questions such as how companionship ties are structured among older adults in a community setting; whether individuals with similar characteristics (e.g., age, gender, health status) are more likely to form …

Worldview-Bench: A Benchmark For Evaluating Global Cultural Perspectives In Large Language Models, Abdullah Mushtaq, Imran Taj, Rafay Naeem, Ibrahim Ghaznavi, Junaid Qadir

All Works

Background: Large Language Models (LLMs) are predominantly trained and aligned in ways that reinforce Westerncentric epistemologies and socio-cultural norms, leading to cultural homogenization and limiting their ability to reflect global civilizational plurality. Existing benchmarking frameworks fail to adequately capture this bias, as they rely on rigid, closed-form assessments that overlook the complexity of cultural inclusivity. Objectives: To address this cultural bias problem, we introduce WorldView-Bench, a benchmark designed to evaluate Global Cultural Inclusivity (GCI) in LLMs by analyzing their ability to accommodate diverse worldviews. Methods: Our approach is grounded in the Multiplex Worldview proposed by Senturk et al., which distinguishes …

The Intricate Dance Of Emotions And Psychophysiology: Unveiling The Secrets Of Microexpressions, Jaiteg Singh, Deepika Sharma, Babar Shah, Sukhjit Singh Sehra, Farman Ali, Irfan Hussain

All Works

Background: Emotion recognition plays a pivotal role in behavioral analysis, mental health assessment, and human-computer interaction. Micro-expressions, which are brief and involuntary facial movements, offer valuable insights into concealed emotions. However, validating micro-expressions remains a challenge due to their subtlety and short duration. This study aims to enhance the validation and classification of micro-expressions by integrating electromyogram (EMG) signals with facial action units (AUs). Methods: EMG data was collected using the EMG Muscle Sensor Module V3.0, interfaced with an Arduino Mega 2560 microcontroller. To ensure signal clarity, various data filtration techniques were applied to eliminate noise, motion artifacts, and baseline …

The Trial-Spacing Effect In Contingency Learning Depends On Both Duration And Frequency Of D Trials Intervening Between A, B, And C Trials, Dave Jiang, Jovin Huang, Kevin Artus, Rafi Arnob, James E. E. Witnauer, Robin A. Murphy, Santiago Castiello, Ralph Miller

Psychology Faculty Scholarship

The main file is the ReadMe file, with the attached additional files being data and analyses.

Emerging Threats In Ai: A Detailed Review Of Misuses And Risks Across Modern Ai Technologies, Niyat Seghid, Farkhund Iqbal, Khalifa Al-Room, Áine Macdermott

All Works

The swift evolution of artificial intelligence (AI) has enabled unprecedented capabilities across domains, while simultaneously introducing critical vulnerabilities that can be maliciously exploited or cause unintended harm. Although multiple initiatives aim to govern AI-related risks, a comprehensive and systematic understanding of how AI systems are actively misused in practice remains limited. This paper presents a systematic review of AI misuse across modern AI technologies. We analyze documented incidents, attack mechanisms, and emerging threat vectors, drawing from existing AI risk repositories, prior taxonomies, and empirical case reports. These sources are synthesized into a unified analytical framework that categorizes AI misuse across …

Using Art To Understand Children's Perceptions Of Covid-Era Schooling, Katrina Bartow Jacobs, Kali Stull

IALS Journal

This study explores how elementary-aged children (K–5) made sense of their Covid-era schooling experiences at Falk Laboratory School. Using an arts-based methodology combining drawing and narrative reflection, researchers collected 232 student artworks and 225 narratives. Findings revealed that older children referenced Covid-related experiences more frequently than younger children, that Covid held similar emotional significance to other school experiences, and that children's responses included both positive and negative emotions. A notable subset of students, particularly some neurodiverse learners, expressed positive feelings about remote learning, smaller groups, and masking. The study highlights the value of arts-based research in centering children's voices and …

Developing Ecosocial Literacy / Transforming Ecosocial Leadership: A Curriculum Research & Development Project, Chris Zorn, Lois A. Yamauchi, Madiha Jamil

IALS Journal

This case study examines the Global Leadership Laboratory (GLL), a yearlong high school leadership course at University Laboratory School in Hawaiʻi. The curriculum integrates transformative learning and contemplative practices to promote student voice, self-awareness, leadership skills, and personal agency. Through interviews, observations, and student artifacts, the study found that reflective journaling, dialogue, contemplative practices, and transformative learning activities supported the development of authentic student voice and perspective transformation, although outcomes varied by classroom conditions and student readiness.

An Ai Tool Recreates Some Of The Friction Of Academic Search. Is That Actually Helpful?, Jasmine S. Kirby

Libraries Faculty & Staff Publications

Keenious mitigates some of the educational risks of AI search. But its limitations will frustrate some users.

Optimizing Proaftn Classifier With Ant Colony Algorithm: Enhanced Diabetes Detection Benchmarking, Feras Al-Obeidat

All Works

The increasing global prevalence of diabetes highlights the need for accurate diagnostic tools to improve early detection and effective treatment planning. Traditional classification models often struggle to achieve optimal performance due to limitations in parameter tuning and adaptability to complex datasets. To address these limitations, this article introduces PROAnt, an innovative learning approach designed to enhance the robustness and efficiency of the PROAFTN multicriteria classification method. PROAnt leverages the computational power of ant colony optimization (ACO) to dynamically fine-tune and optimize the key parameters, such as intervals and weights, at the core of the PROAFTN classification process. This learning methodology …

Psychometric Evaluation Of The Tattoo Attitudes And Motivations Scale: A New Instrument For Medical Tattoo Consultation, Jeffrey E. Cassisi

Research Data and Datasets

Medical tattooing is increasingly used to restore or alter appearance following surgery, injury, or medical treatment, yet brief instruments for assessing patient attitudes and motivations toward tattooing are limited. This study developed and evaluated the Tattoo Attitudes and Motivations Scale (TAMS), a 10-item measure intended for medical tattoo consultation and research. In Study 1, exploratory factor analysis was conducted with 589 adult women from a general population sample. In Study 2, confirmatory factor analysis was conducted with 261 breast cancer survivors. The final scale supported three factors: Self-Enhancement, Negative Attitudes, and Self-Expression. Model fit was good in the clinical sample, …

Bryson Peter - Part 3, Mark Naison, Steven Payne

Oral Histories

No abstract provided.

Culture Mediates Climate Opinion Change: A System Dynamics Model, Louis (Lou) Gross, Yoon Ah Shin, Sara M. Constantino, Ann Kinzig, Katherine Lacasse, Brian Beckage

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Fear Of Hunger (Foh) Survey Data, 2024: Multi-Country Telephone Survey On Food Security And Migration In The Sahel And Central America, Domenico Parisi, Shrinidhi Ambinakudige, Christian Kelly Scott, Arif Husain, Jessica Harmer, Ève Chalifour

Research Data

This database underpins the analysis of the Fear of Hunger (FOH) Hypothesis, based on a large-scale telephone survey conducted between April and August 2024 across eight countries—Burkina Faso, Chad, El Salvador, Guatemala, Honduras, Mali, Niger, and Nigeria. The dataset includes 12,000 nationally representative adult respondents (1,500 per country) aged 18 and above. The survey instrument, translated into multiple local languages, collected detailed demographic, socioeconomic, and attitudinal information related to food security and migration. Core variables encompass WillMove (migration intention), MovePlace (international vs. internal migration), Score1–Score5 (five FOH levels from minimal to extreme), Age, Gender, Marital Status, Education …

Hart Lab, University Of Mississippi. Department Of Psychology

University Website Migration from WordPress

HART Lab (Health and Anxiety Research and Treatment)

The primary focus of the HART lab is on the etiology, maintenance, and treatment of anxiety disorders. The lab takes a transdiagnostic approach to examining behavioral, cognitive, emotional, and psychophysiological processes that underlie a variety of anxiety and related disorders, including social anxiety disorder, panic disorder, generalized anxiety disorder, posttraumatic stress disorder, obsessive compulsive disorder, misophonia, and specific phobias.

The secondary emphasis of the lab pertains to the intersection of anxiety and health, and in particular, how anxiety pathology may contribute to engagement in maladaptive health behaviors (e.g., substance use) and exacerbate …

Shade Lab, University Of Mississippi. Department Of Psychology

University Website Migration from WordPress

SHADE Lab: Stigma, Health, Attitudes, Diversity, Ethnicities Lab

The SHADE lab examines antecedents and consequences of prejudice, stigma, and bias. We use perspectives that examine both high and low status group members’ responses to discrimination and how this influences cognition, health, well-being, and intergroup relations. Our lab employs a variety of methodologies including both online and in lab experiments, longitudinal designs, and surveys. Across our research we utilize behavioral, self-report, and physiological reactivity measures to examine the broad consequences of stigma and bias.

Relationship Between Proximity To Harm Reduction Programs And Social Stigma Against People Who Use Drugs, Mark Vasilchenko

Student Theses

Social stigma against people who use drugs (PWUD) is incredibly common and has a negative impact on quality of life and recovery. PWUD that are subjected to stigma from their community are at higher risk of homelessness, overdose, and other drug-related health issues. Harm reduction programs encourage PWUD to use safely with a variety of services, including but not limited to drug testing, needle exchange, and professional supervision during drug use. These services are empirically proven to decrease drug use, overdose, and crime as a whole within the communities where they are implemented, but they often appear counter-intuitive to the …

Society And Health, University Of Mississippi

University Website Migration from WordPress

"The Minor in Society and Health focuses on the socioeconomic, cultural, and psychological factors associated with human health at multiple levels of society, coupled with their implications for ethical healthcare practice and policy. Students will develop an interdisciplinary social science and humanities based approach to understanding health and an appreciation for the value of interprofessional, team-based problem solving to improve healthcare and health outcomes."

Fieldnote 24: Who Is Sharpening Your Iron?, Venus Evans-Winters, Mildred Boveda, Erica Mccray

Fieldnotes of a Black Woman Scholar: Research, Culture, and Wellness

In this episode, Dr. Venus Evans-Winters and Dr. Mildred Boveda (Youtube @mboveda) sit down with Dr. Erica McCray—educator, researcher, and leader—to discuss the powerful roles of mothering and daughtering in shaping our work and wellness in academic spaces. Together, they explore how intergenerational care and personal identity influence educational leadership, equity-focused research, and the pursuit of balance in high-pressure environments. Dr. McCray reflects on her lived experiences and shares how she integrates care, legacy, and advocacy into her scholarship and professional life. This is a rich, intimate conversation for anyone invested in justice, healing, and the ways Black women lead …

Fieldnote 23: Healing Through Storytelling: Black Feminist Research & The Power Of Journaling, Venus Evans-Winters, Mildred Boveda

Fieldnotes of a Black Woman Scholar: Research, Culture, and Wellness

In this episode, we journey into the heart of Black feminist research and healing through the lens of storytelling. Together, we, Dr. Mildred Boveda and Dr. Evans-Winters, reflect on the power of narrative as a method of resistance, a source of knowledge, and a sacred tool for personal and collective transformation. Drawing from our own lives and the legacies of Black feminist scholars and creators, we explore how storytelling shows up in our work and why it matters now more than ever. We also turn inward with a conversation about journaling—how it anchors our thoughts, reveals our truths, and supports …

Understanding Adolescent Perinatal Wellbeing In Rural Parts Of Kenya: A Qualitative Study, Evaline Chepchirchir Langat, Marleen Temmerman, Margrette Hanselmann, Kethakie Lamahewa, Violet Naanyu, Mellan Lilumbi, Tatiana Taylor Salisbury

Centre of Excellence in Women and Child Health

Introduction: Despite global efforts to reduce adolescent birth rates, the problem persists in low- and middleincome countries. Sub-Saharan Africa has the highest rates (97.9 births per 1000 women). In Kenya, more than 15 % of adolescent girls become pregnant. Forty-three percent of these develop depression. This study investigated adolescent pregnancy in rural Kenya to understand the challenges and context-specific factors that can help adolescents maintain good mental health during pregnancy and the motherhood.

Methods: An exploratory qualitative study was conducted in Kilifi County between October and November 2021. A total of 73 participants consented to participate in the …

Songs For Dead Sailors [Audio], Toby Wren

Staff Scholarship - Australia & Dubai

Songs for Dead Sailors is a psychological exploration of love and loss in the era of tall ships; a song cycle about leaving a home and loved ones, to journey with no promise of a return. The work was scored for a sextet of improvising musicians and reflects my interest in the creative process and my experiences teaching creative practice research. It was written for the specific group of jazz musicians that you hear on this recording, with their particular instrumental talents and styles very much in mind. The work provides challenges to the players, drawing as it does on …

Emotion Regulation, Stress, And Negative And Positive Affect In Minority Populations, Laura Torio, Khadeja Najjar, Ilya Yaroslavsky

Great Lakes Regional Counseling Psychology Conference

This study examines perceived stress (PS), emotion regulation (ER), and emotional outcomes in a diverse sample (N=282). Results show PS correlates with negative (NA) and positive affect (PA), with adaptive emotion regulation (AMR) linked to PA and maladaptive regulation (MMR) linked to NA. Culture predicted MMR, highlighting the importance of cultural considerations in interventions.

Grading The Machine: Assessing The Limits Of Ai In Academic Writing, Linnea Hall

C2C Digital Magazine

Linnea Hall reports on her comparison testing of the strengths and weaknesses of three major AI programs on academic-writing tasks.