Digital Commons Network^™

Enhancing The Research Enterprise At A Health Sciences University: A Call For An Institutional Paradigm Shift, Bryan G. Beutel, Taryn Bissing, Aaditya Patel, Nicolette Duong, Jan Talley

Student Publications

Background:

There exists a rapidly growing need for a universally robust research enterprise at health sciences universities because of recent changes in the medical education landscape. This study aimed to evaluate student perceptions of (and challenges conducting) research and to implement effective strategies to expose students to enhanced resources and training.

Materials and Methods:

An anonymous survey developed using participatory research methods was disseminated to all students at a graduate health sciences university in 2023. This measured their engagement in research, resource needs, and barriers. Descriptive statistics quantitively analyzed factors that influence student participation in research, perceived benefits, and obstacles …

Emotional Intelligence And Artificial Intelligence In Medical Education: A New Paradigm For Holistic Healthcare, Rasha Eldeeb, Eslam Elnebrisi

Health Professions Education

The rapid integration of artificial intelligence (AI) into medical education is revolutionizing the training of healthcare professionals, offering advanced tools for diagnostics, personalized learning, and assessment. However, this technological transformation risks overshadowing essential humanistic aspects of healthcare, such as empathy, communication, and ethical reasoning. Emotional intelligence (EI), defined as the ability to recognize and manage emotions effectively, is crucial for delivering patient-centered, compassionate care. This paper argues for a balanced approach that integrates EI and AI within medical curricula, emphasizing their complementary roles. By harnessing AI's efficiency and data-driven capabilities alongside EI's human-centric skills, future healthcare professionals can achieve technical …

A Mixed-Method Study Of Health Care Workers' Attitudes About Interprofessional Collaboration, Wiwik Kusumawati, Nina D Lestari, Dwi Suhartiningtyas, Ika Setyawati, Salmah Orbayinah

Health Professions Education

Purpose. This study examined health professional graduates' views about interprofessional cooperation in healthcare service delivery and the factors that influence their professional collaboration.

Method. Convergent parallel mixed-methods was used. The quantitative component was a cross-sectional survey of 359 Interprofessional Education and Collaborative Practice (IPECP) graduates (30 general practitioners, 112 nurses, 106 dentists, and 111 pharmacists) who had worked in healthcare for at least one year. Data were obtained using the five-domain Interprofessional Attitudes Scale (IPAS). To analyse quantitative data, descriptive statistics and One-Way ANOVA were utilised. The qualitative component included in-depth interviews with four clinical supervisors from various healthcare institutions …

Active Learning In Respiratory Care Education: A Narrative Review, Tisha Ann Skariah, Udaya Kumar Rao, Manjush Karthika

Health Professions Education

Purpose: This study evaluates the effectiveness of active learning strategies in respiratory care (RC) education, specifically examining their impact on student engagement, critical thinking, and clinical competency to address limitations inherent in traditional passive instructional methods.

Methods: A comprehensive narrative review of peer-reviewed literature was conducted using databases such as PubMed, Web of Science, and Scopus. Thematic analysis was utilized to explore the influence of key active learning methodologies, including simulation-based learning (SBL), flipped classroom (FC), problem-based learning (PBL), and team-based learning (TBL).

Results: The findings demonstrate that active learning approaches significantly enhance clinical decision-making, collaborative skills, and knowledge retention …

Perceptions Of Dental Students On Denture Teeth Arrangement And Digital Support: An Exploratory Study, Bora Lee, Juyeon Hwang, Soo-Yoon Kim, Jong-Eun Kim, Eunbae B. Yang

Health Professions Education

Purpose: This study explored dental students’ perceptions of arranging denture teeth in complete denture cases, the impact of digital support on learning strategies, and differences in their experiences based on whether they had access to digital support.

Methods: In this qualitative case study, a total of 14 students were randomly assigned to either the digital or non-digital support group. The digital group performed digital teeth arrangements, followed by manual tooth arrangements, with access to a 3D viewer, 3D-printed model, and instructor feedback. The non-digital group received only instructor feedback. While the sample size was limited, it is consistent with the …

Quasi-Experimental Study Examining Student Attitudes Toward Interprofessional Healthcare Teams And Experiences With Social Determinants Of Health Through A Virtual Poverty Simulation, Suzanne Greenwalt, Renee Brown, Lindsay Hahn, Missy Bryan, Tamara Lemmonds, David Phillippi

Health Professions Education

Purpose: Highly functioning interprofessional teams are essential for optimal patient care. Interprofessional teams consist of healthcare workers from various disciplines working together to meet the unique needs of each patient, family, and caregiver with the highest level of care possible. Healthcare programs must train students to work and communicate effectively within such teams. The purpose of this study was to determine the impact of an interprofessional virtual poverty simulation on students’ attitudes toward interprofessional healthcare teams and experiences with social determinants of health.

Methods: Students from seven health professions participated in a virtual case event. Students worked in interprofessional teams …

Lifestyle Predictors Of Obstructive Sleep Apnea Risk Among Medical Students In Urban Tamil Nadu: A Cross-Sectional Study, Dharani Bhaskaran, Suba Angappan, Chitra Mourali

Health Professions Education

Purpose: Obstructive Sleep Apnea (OSA) is a prevalent but underdiagnosed sleep disorder especially among undergraduate medical students. This study aimed to assess the lifestyle habits among undergraduate medical students and their association with risk of OSA in urban part of Tamil Nadu.

Method: A cross-sectional study was conducted among 315 undergraduate medical students aged 18-25 years. Data collection was done by using STOP-BANG Questionnaire for OSA risk assessment and a google form-based proforma to evaluate lifestyle habits. Statistical analysis, including the Mann-Whitney U test and Chi-square test, were used to evaluate associations between lifestyle factors and OSA risk.

Results:

The …

Chatgpt Use In Active Learning Among Nursing Students: A Cross-Sectional Study., Asma Bouriami, Kamal Takhdat, Sana Barkatou, Abdelmounaim Manoussi, Jaouad Chouikh, Samia Boussaa, Ahmed Rhassane El Adib

Health Professions Education

Purpose: Active pedagogy offers interesting potential for teaching and learning, especially when combined with artificial intelligence tools. The aim of this study is to investigate students' knowledge, attitudes, perceptions, and experiences regarding the use of ChatGPT within active learning methodologies.

Methods: A quantitative cross-sectional survey was conducted using a questionnaire with 913 nursing students from four public higher nursing institutes.

Results: Overall, the majority of participants have a low to medium level of knowledge, even though 79.4% of them use ChatGPT. In fact, Participants use ChatGPT mainly for problem-based learning, and project-based learning. In addition, men students are 1.55 more …

The Power Of Emotional Design In Whiteboard Animation: Enhancing Student Cognition And Engagement, Nora El-Tantawy

Health Professions Education

Background: Whiteboard animation is growing as a teaching tool, particularly in the medical field, because of its potent capacity to engage students and make complex concepts simpler to comprehend. These animations use simple drawings to explain complex ideas in a clear, engaging way. They are unique not only because of their visual appeal but also because of the way they are designed to emotionally engage students. Emotional design includes designing learning experiences that motivate, engage, and interact with learners in addition to presenting information. Discussion: This review discusses the use of emotional design in whiteboard animation and its implications for …

State: The Magazine Of Illinois State University, Winter 2025, Illinois State University, University Marketing And Communications

State: The Magazine of Illinois State University (1999-present)

Illinois State University alumni magazine

The Moral Justifications Of The Justice-Experienced: Recidivism In Dark Triadic Morally Disengaging Offenders, Lacy Parrett

Scripps Senior Theses

Little is known about the cognitions of those who commit violent crimes; even less is known about the justification process of those who reoffend after completing a prison sentence. The proposed study suggests analyzing the moral disengagement strategies and personality traits of incarcerated adults to identify recidivism risk factors. Current literature indicates that nonhomicide violent offenders’ use of moral disengagement cognitions that justify the violation of socially accepted morals will moderate the relationship between psychopathic, Machiavellian, and narcissistic personality traits and offenders’ risks of recidivating. Furthermore, it is anticipated that an interaction will exist between moral disengagement and this so-called …

Empowering Adolescent Females: A Psychological Approach To Sexual Education, Paola Rausseo

Scripps Senior Theses

Adolescence is a pivotal stage of self-discovery, yet many young women lack the tools and knowledge to navigate sexual health confidently. This study implements an intervention rooted in Cognitive Behavioral Therapy (CBT) and Social Learning Theory (SLT) to enhance empowerment, self-advocacy, and boundary-setting in adolescent females aged 13–16. The program’s structure incorporates skill-based activities, including role-playing and action planning, to equip participants with practical tools and a safe space to practice these skills. This approach emphasizes addressing psychological and social factors influencing sexual decision-making and seeks to bridge gaps in traditional sexual education. Participants will be recruited from six randomly …

The Association Between Obstetric Violence And Postpartum Depression Among Latina Women In The United States: An Integrative Review, Natalia Alameda

Scripps Senior Theses

Obstetric violence, a structural form of gender-based violence, involves abuse, mistreatment, or neglect by healthcare providers during obstetric care. It is often associated with childbirth trauma and may result in physical and psychological harm to mothers and children, including postpartum depression. Postpartum depression is a major depressive episode occurring during pregnancy or within four weeks following delivery. While these concepts are often studied independently, few studies examine their intersection, particularly among Latina women in the United States. To address this gap, an integrative literature review was conducted to explore the association between obstetric violence and postpartum depression among Latina women. …

Let's Talk About Sex: Investigating Radical Feminist Theories On Prostitution In The United States, Anna E. Peterson

Scripps Senior Theses

This paper explores the feminist debates surrounding prostitution through an analysis of Catharine MacKinnon and Andrea Dworkin’s abolitionist theories, juxtaposed with critiques from Wendy Brown, Janet Halley, Susie Bright, and Marxist feminist abolitionist Esperanza Fonseca. The text examines the systemic forces of patriarchy and capitalism that commodify women’s bodies and the challenges of legislative approaches to the sex trade. While MacKinnon and Dworkin identify the structural inequalities underpinning prostitution, their legislative proposals often fail to address the stigma and systemic conditions that perpetuate the marginalization of prostituted people. Critics like Brown and Halley highlight the limitations of punitive measures, calling …

Sense Of Belonging And Perceptions Of Learning In An Introductory College Course, Ellen Wang

Scripps Senior Theses

A sense of belonging (SB) – the feeling of deep connection with social groups, places, and experiences – has been described as a fundamental, pervasive need among humans (Allen et al., 2021; Baumeister & Leary, 1995). SB, and lack thereof, predicts myriad mental, physical, social, and economic outcomes. Belonging is a complex, multidimensional concept with a breadth of research across disciplines. It has been applied to school contexts in association with academic and psychosocial outcomes. The researcher partnered with an undergraduate course at The Claremont Colleges, and administered electronic surveys at two time points of the course. Students' sense of …

Bright-Lines In Sentencing: A Legal And Moral Case Against Juvenile Life-Without-Parole, Mckenzie Reily Isaac

Scripps Senior Theses

This paper criticizes the Supreme Court of the United States for its holding in Jones v. Mississippi (2021): the Eighth Amendment does not require a sentencing authority to find that a juvenile is "permanently incorrigible" before it may impose a sentence of life-without-parole. This ruling circumvents stare decisis as it undermines the substantive protections established in Miller v. Alabama (2012) and Montgomery v. Louisiana (2016), while purporting to preserve them. Not only is circumvention of stare decisis a failure of the Court's judicial duty, it is also a profound moral failure. This paper deploys Ronald Dworkin's law as integrity to …

Punishing Violence, Shima Baradaran Baughman

American University Law Review

The American criminal justice system doles out the harshest punishments in the world. It is infamous for its protracted criminal sentences and prodigious criminal code. But what most scholars and policymakers overlook is that the United States punishes only a fraction of the total serious crime that occurs in the country—including violent crime.

Approximately twenty million serious crimes occur in America each year, but only about half of these are reported to police. Of those reported, the police make arrests for an average of only twenty percent of serious crimes, and only ten percent of arrests result in a conviction. …

College Courts: Administrative Abuse Of Title Ix And Its Consequences, Noah Bloomberg

MC Law Review

This article examines the contentious application of Title IX in addressing campus sexual assault, tracing its evolution through recent presidential administrations. Initially designed to combat sex-based discrimination in education, Title IX has been expansively interpreted to regulate university adjudication of sexual violence cases. Policies introduced during the Obama administration mandated quasi-judicial procedures, sparking debates over fairness and due process, while Trump-era reforms shifted focus toward protecting the rights of accused students, prompting criticism from victims' advocates. The article argues that these approaches have overstepped Title IX's intended purpose, burdening universities and creating systemic challenges for survivors and the accused alike. …

Leveraging Artificial Intelligent For Optimized Crop Production: An Ann-Based Approach, Yahya Layth Khaleel, Fadya A. Habeeb, Mustafa Abdulfattah Habeeb, Fatimah N. Ameen

Mesopotamian Journal of Computer Science

To incite modern day crop production and ensure sustainability, exact crop recommendations are key to the process. This study pays significant attention to the need for the use of big data tools in studies involving comprehensive data sets that contain information on soil and other environmental characteristics. The set of data used in this research includes Nitrogen, Phosphorus, and Potassium content coordinated with Temperature, Humidity, pH Value, and Rainfall. Knowing these factors is to make a favorable decision about improving agricultural products yield, availability and management of the resources, as well as general well-being of the crops. Specialized advisory on …

Models Of Machine Learning To Diagnose Chronic Kidney Disease Using A  Weka-Based Classifier, Shaymaa Adnan Abdulrahman, Sameerah Faris Khlebis

Mesopotamian Journal of Artificial Intelligence in Healthcare

In the present day, humans are confronted with a variety of diseases as a result of their lifestyle and the current environmental conditions. Therefore, it is crucial to identify and predict these diseases in their early phases in order to prevent their severe manifestations. Manually identifying maladies is a challenging task for physicians on a regular basis. Predicting chronic illnesses is the aim of this article. This goal is applicable through a state-of-the-art approach to classification correctly identifies people with chronic illnesses. Predicting maladies is also a difficult endeavor. Therefore, disease prediction is significantly influenced by data mining. To get …

Heartbeat Sound Classification Using Mel-Spectrogram And Cnn Optimized By Frilled Lizard Algorithm For Cardiovascular Disease Detection, Ahmed T. Alhasani, Zainab H. Albakaa, Shahad A. Alabidi, Osamah Qasim Abd Zaid Gburi, Ammar Kadi, Irina Potoroko

Mesopotamian Journal of Artificial Intelligence in Healthcare

Cardiovascular disease (CVD) continues to be the predominant cause of mortality globally, underscoring the critical necessity for prompt and precise diagnostic techniques.  This paper introduces an innovative machine learning framework for categorizing heartbeat sounds into four classifications—normal, murmur, additional heart sound, and artifact—utilizing audio recordings from the PhysioNet/CinC Challenge 2016 dataset.  The methodology employs Mel-Spectrograms and Mel-Frequency Cepstral Coefficients (MFCCs) for feature extraction, converting raw heart sound data into comprehensive time-frequency representations.  A Convolutional Neural Network (CNN) is utilized for classification, with its hyperparameters refined by the recently developed Frilled Lizard Optimization (FLO) method, a bio-inspired metaheuristic that emulates the …

Adaboost-Based Classification For Bone Sarcoma Outcome Prediction: A Comparative Machine Learning Approach, El-Sayed M. El-Kenawy, Ahmed Mohamed Zaki, Marwa M. Eid

Mesopotamian Journal of Artificial Intelligence in Healthcare

Bone sarcomas represent aggressive malignancies with complex clinical presentations where traditional prognostic methods often lack precision in predicting patient outcomes. This study developed and validated machine learning models for predicting bone sarcoma patient outcomes using a comprehensive dataset from Memorial Sloan Kettering Cancer Center spanning 2010-2020, comparing multiple algorithms including AdaBoost, Logistic Regression, Ridge Classifier, Quadratic Discriminant Analysis, and Linear Discriminant Analysis. AdaBoost demonstrated superior performance with 0.84 accuracy, 0.875 sensitivity, 0.7955 specificity, 0.8448 precision, 0.8333 negative predictive value, and 0.8596 F1 score, outperforming other algorithms which achieved 0.83 accuracy and 0.8496 F1 score. Statistical analysis confirmed significant differences between …

Authors' Biographies

Res Publica - Journal of Undergraduate Research

No abstract provided.

Psychological Reactance Theory And Tax Evasion Intentions, Diana Falsetta, Brian C. Spilker

Faculty Publications

This study experimentally examines how tax administration service inefficiencies in the form of tax return processing delays from paper-filed tax returns indirectly affect taxpayer tax evasion intentions through taxpayers’ psychological reactance to the delay. We further consider whether this indirect effect is different when the taxpayer willingly chooses to paper file their tax return versus when the taxpayer is forced to do so. Consistent with Psychological Reactance Theory (PRT), we find that when taxpayers receive delayed refunds, they experience psychological reactance (e.g., anger and frustration with the tax administration) that increases their tax evasion intentions. Further, we find that the …

Caring To Care: Nurturing Icu Healthcare Professionals' Wellbeing For Enhanced Patient Safety, Emilio Rodriguez-Ruiz, Martina Maria Cornelia Van Mol, Joseph Maria Latour, Kristina Fuest

School of Nursing and Midwifery

Healthcare professionals working in the Intensive Care Unit (ICU) care for patients suffering from a critical illness and their relatives. Working within a team of people with different personalities, competencies, and specialties, with constraints and demands might contribute to a working environment that is prone to conflicts and disagreements. This highlights that the ICU is a stressful place that can threaten healthcare professionals' wellbeing. This article aims to address the concept of wellbeing by describing how the stressful ICU work-environment threatens the wellbeing of health professionals and discussing how this situation jeopardizes patient safety. To promote wellbeing, it is imperative …

Epistolary Technologies Of Separation And Archives Of Emotion, James Daybell

School of Law, Humanities and Social Sciences

No abstract provided.

Multi-Modal Framework For Autism Severity Assessment Using Spatio-Temporal Graph Transformers, Kush Gupta, Amir Aly, Emmanuel Ifeachor

School of Engineering, Computing and Mathematics

Diagnosing Autism Spectrum Disorder (ASD) remains challenging, as it often relies on subjective evaluations and traditional methods using fMRI data. This paper proposes an innovative multi-modal framework that leverages spatiotemporal graph transformers to assess ASD severity using skeletal and optical flow data from the MMASD dataset. Our approach captures movement synchronization between children with ASD and therapists during play therapy interventions. The framework integrates a spatial encoder, a temporal transformer, and an I3D network for comprehensive motion analysis. Through this multi-modal approach, we aim to deliver reliable ASD severity scores, enhancing diagnostic accuracy and offering a scalable, robust alternative to …

Developing An Artificial Intelligence Framework For Identifying Fusion Blood-Based Biomarkers In Alzheimer's Disease, Ali H. Al-Nuaimi, Mohammed Kamal Nsaif, Shaymaa Al-Juboori

School of Engineering, Computing and Mathematics

Alzheimer’s Disease (AD) is an irreversible neurological disorder, a major cause of disability among the elderly, with no effective therapeutic options currently available. It is an asymp-tomatic disease in the prodromal stages and begins many years before clinical appearances. Early diagnosis of AD allows patients to obtain appropriate healthcare assistance, accelerating the development of new medications. A biomarker that evaluates the alterations in the brain cells produced by AD in its preliminary periods might be significant for its early identification. Blood-based biomarkers (BBBMs) facilitate the early detection of AD. The BBBMs detection procedure is cost-efficient and minimally invasive. The aim …

Artificial Intelligence Powered System For Epilepsy Detection Using Eeg Biomarkers, Ali H. Al-Nuaimi, Shaymaa Al-Juboori

School of Engineering, Computing and Mathematics

One of the most prevalent neurological disorders is epilepsy. Epileptic seizures can occurrepeatedly in people with the condition for no recognisable reason. The diagnostic methodsdependent on EEG are promising. EEG has uncovered the dynamic functioning of all brain areasthroughout time. Its low cost, non-invasiveness, and simply make it crucial for clinicalevaluations of brain function. Integrating multiple EEG biomarkers as a compound biomarkercould provide a high performance that may accelerate the diagnosis speeds. Artificial intelligencetechniques such as machine learning and deep learning provide a significant result in healthcareapplications. Logistic Regression (LR), Naive Bayes (NB), and Neural Network (NN) wereevaluated using a …

Keynote: New Myths For New Realities: Being 'Up And Doing' In Plymouth, Angela Piccini, Sefryn Penrose

School of Art, Design and Architecture

In this talk, Sefryn Penrose and Angela Piccini discuss projects they've developed as 37 Looe Street Gallery and as arts and heritage consultancy Bureau for the Contemporary and Historic (ButCH). From swanning down the Tamar to the sea to devising and running Gullfest to working as consultants contributing strategy, policy, education, interpretation, and evaluation work for coastal organisations, Sef and Angela are committed to blurring boundaries between creative practice and professional heritage practice as joint forms of world-building. In response to the symposium's focus, Sef and Angela will highlight the importance of working with change and 'loss' through myth, humour …