Digital Commons Network^™

Factors Affecting The Questioning Ability Of Neophyte Undergraduate Nursing Students In The Classroom, Muhammad Ishtiaq, Raisa Gul

Health Professions Education

Questioning is one of the most commonly used strategies in the instructional process. Well-constructed and appropriate levels of questions stimulate imagination, ignite curiosity, and promote critical thinking. Questioning is an important academic tool in all disciplines but it is more significant for healthcare disciplines for making decisions impacting life and death situations. A grey zone exists on facilitative and hindering factors for asking questions during the instruction deliberations. This study aimed to explore the students’ perspective on the significance of asking questions and the factors affecting their ability to ask questions in a classroom setting. A descriptive qualitative study recruited …

Early Student Attrition From Medical Schools: A Scoping Review, Ashraf F. Hefny, Mai A. Fathi, Nirmin A. Mansour, Mohamed A. Al-Ali

Health Professions Education

Purpose: The number of medical school applicants far exceeds the number of available positions, leading to intense competition. Despite previous academic success and high scores, some students find it difficult to cope with course demands and drop out. This scoping review aims to address potential gaps in the literature on early student attrition from medical schools, including the influence of the admission process and curricula.

Methods: A comprehensive literature search was conducted to identify relevant articles published in English-language, peer-reviewed journals. The search was scanned from inception to January 2021 using online databases PubMed, Scopus, and ERIC. Covidence …

Project-Based Learning And Student Outcomes In Health Professions Education: A Literature Review, Melanie Aley, Regina Lee, Jordana Wang, Joy Wang, Sophia Zheng

Health Professions Education

Purpose. Project-based learning (PjBL) is an instructional method designed to help students cultivate skills transferable beyond traditional education systems focused on didactic learning. This literature review aims to critically summarise existing literature on PjBL and its value in tertiary health professions curricula, especially with regards to cognitive, affective and behavioral student outcomes. In doing so, this study seeks to inform teaching and learning approaches that nurture skills desirable in professional settings.

Method. An electronic search for relevant English journal articles was conducted using four databases; EBSCOhost, Medline, Web of Science and Scopus. Studies which pre-date 2012, fail to …

Cultural Awareness Of Nursing Students: A Cross-Sectional Study, Tran Thi Hoang Oanh, Nguyen Thi Yen Hoai, Nguyen Thi An Nhan, Ngo Thi Thu Huyen

Health Professions Education

Purpose: Nursing worldwide and specifically in Vietnam is caring for patients with diverse cultural backgrounds. Cultural awareness helps nurses minimize inequalities in health care, boost patient satisfaction, and enhance the quality of care. This study was conducted to identify the cultural awareness of Vietnamese nursing students and to collect some related factors.

Method: A cross-sectional study was conducted on 452 nursing students in the second to fourth years of Da Nang University of Medical Technology and Pharmacy from April to November 2021. We employed a universal sampling technique. The Cultural Awareness Scale (CAS) was used to identify the level of …

Nursing Students’ Perceptions Of Risk Medication Administration Error: A Qualitative Focus Group Study, Evelyn Hemme Tambunan, Dearly Gabriela Alexander

Health Professions Education

Purpose. The purpose of this qualitative study was to investigate senior nursing students’ perceptions of the risks associated with medication administration errors.

Method. A qualitative study was conducted using focus group discussions synchronously with the help of a discussion guide consisting of five open-ended questions. A maximum variation sampling strategy was used to select a total of 19 senior nursing students, who subsequently took part in two focus group discussions. All interviews were recorded, transcribed verbatim, and analyzed for thematic contents using the standard to a consensus on thematic coding, the investigators finally convened to examine, classify, and …

User Acceptance Towards Virtual Reality For Basic Life Supports Teaching In A Multi Professional Education Context, Diantha Soemantri, Uti Nilam Sari, Aldy Heriwardito, Luthfi Saiful Arif

Health Professions Education

Purpose. To examine students’ acceptance of basic life support (BLS) virtual reality (VR). The study’s aim is based on the first level of Kirkpatrick’s evaluation model. Method. A cross-sectional study examined at Health Sciences Cluster (HSC) students’ acceptance of BLS VR used in a multi-professional course conducted in the HSC Universitas Indonesia, in 2023. A total of 759 first-year HSC students from five professions/schools (medicine, dentistry, nursing, pharmacy and public health) were recruited in this study. The exploratory factor analysis (EFA) with maximum likelihood and varimax rotation was used to assess the questionnaire’ construct validity. An open ended question was …

"Optimizing Novice Researcher Productivity: A Comprehensive Review Of Integrated Approaches In Scientific Writing Training" - A Narrative Review, Remya U R, Mamatha Shivananda Pai, Baby S Nayak, Judith Angelitta Noronha

Health Professions Education

Purpose: Publications are an effective way of disseminating scientific evidence and making findings accessible to the public. Effective skill in writing can make researchers more efficient in publishing articles in high-quality journals. However, implementing appropriate training programs in scientific writing should be a major focus and many researchers can be benefitted. Hence, it is important to identify the outcomes of various approaches to research publication and this will help us to choose the most appropriate method for researchers. This review article is about the diverse approaches to increase research publication for the researchers. This review aims to describe published literature …

Digital Storytelling As An Innovative Approach To Prehospital Education: The Experiences Of Teaching Academics., Andrew Van Noordenburg, Georgina Seaman

Health Professions Education

Purpose. To explore teaching academics' experiences of utilising digital storytelling as an innovative approach to prehospital education.

Method. This study describes an innovative learning activity, digital storytelling, developed for an undergraduate paramedicine program. The experiences of teaching academics were then explored through semi-structured interviews. Thematic analysis was used to evaluate the data.

Results. Three themes were identified through thematic analysis. The first theme was ‘the impact of friction on learning’ which describes how a learning activity’s design can negatively impact learning. The second theme ‘connecting with the teaching resources’ outlines how having access to sufficient resources is necessary to facilitate …

Improving Medical Education Of Risks Of Ai Use In Healthcare, Stephanie Quon, Catherine Ha

Health Professions Education

Artificial intelligence (AI) offers transformative potential in healthcare, enhancing drug discovery, data processing, early detection, and clinical decision-making. However, its adoption poses significant risks, including client harm, misuse, automation bias, perpetuation of inequities, and security issues. Effective integration requires ongoing collaboration among healthcare professionals, developers, policymakers, and ethicists to ensure accountability and transparency. As AI becomes more prevalent, medical education must evolve to equip students with a deep understanding of AI technology, risk assessment, and mitigation strategies. Currently, medical curricula fall short in this area, necessitating educational reforms. We propose diverse and comprehensive teaching methods, including case studies, interdisciplinary projects, …

"Engaging Minds: Strategy For Active Student Learning In Pharmacology", Hassan A. Alsaad

Health Professions Education

Objective:

To design, implement, and evaluate an interesting strategy that fosters active learning through engaging students in the learning process and imbuing them with a sense of ownership over their learning. The strategy could transform the educational experience for students.

Methods:

The strategy had involved reflective reading, critical thinking, crafting class activity, peer teaching, as well as the development of communication and collaboration skills. A survey-based approach was utilized to collect students’ perspectives on the active learning strategy. Additionally, a retrospective study was conducted to quantitatively evaluate the impact of the strategy on learning outcomes.

Results:

Students’ responses indicated that …

Collection Data: Sharing, Discovery, Inspiration, And Innovation, Angela Yon

Faculty and Staff Publications – Milner Library

In recent years, the traditional use of digital collections as surrogates for the physical has shifted to a paradigm of viewing collections as data suitable for computational use and novel research methods. The burgeoning collections as data movement is gaining momentum among galleries, libraries, archives, and museums (GLAM) worldwide. Strategic initiatives, experimentation, innovation, and inspirational learning are occurring as digital libraries and digital humanities progress and work to develop sustainable approaches for collections as data programs. What is the position of collections as data in an ever-changing information landscape of open access, linked data, and shared data of cultural heritage …

Librarians Discuss Textbook Affordability As An Equity Issue, Robert L. Butterfield, Christa Perez Bailey, Kendra Lake, Adriana Poo, Mitchell Scott, Allia Service, Rachel E. Scott

Faculty and Staff Publications – Milner Library

Librarians working in academic settings have taken different stances on providing access to materials assigned in courses. Although libraries have long offered course reserves, adding course-assigned materials to permanent library collections has been discouraged for a variety of reasons. A number of events and considerations—including COVID-19 campus shutdowns, growing online degree programs, increased support for student success, availability of open educational resources (OER), and new e-books licensing models that support multiple users—have made library provisioning of assigned materials, commonly referred to as textbooks, more mainstream. Despite differences in their scope, approach, and workflows, many library-led textbook affordability programs share the …

Reports On Conferences, Institutes, And Seminars: Electronic Resources And Libraries 2024 Conference, Grace Norris

Faculty and Staff Publications – Milner Library

This column documents reflections from the session 2001 Changes, an Eresource Management Odyssey: Navigating Staffing Changes while Scaling Eresource Management Support and Competencies at the 2024 ER&L Annual Conference held March 3–6, 2024 in Austin, TX.

Editorial: Open Access: One Goal, Many Pathways, Rachel E. Scott, Michael Fernandez

Faculty and Staff Publications – Milner Library

How better to celebrate the one-year anniversary of Library Resources & Technical Services (LRTS) becoming fully open access than an issue chock-full of insights, experiences, practices, and data on open access in library settings? The work published in this issue aligns with several of the obstacles we encountered in making LRTS open and available to all. Namely, despite two decades of growth, open access publishing remains fraught with misconceptions, unrealized benefits, and logistical challenges. In library settings, open access poses opportunity and uncertainty in equal measure and brings to light competing demands for resources. The complexities and expenses …

Age Of Autism Diagnosis In Latin American And Caribbean Countries, Cecilia Montiel-Nava, María Cecilia Montenegro, Ana C. Ramirez, Daniel Valdez, Analía Rosoli, Ricardo Garcia, Gabriela Garrido, Sebastián Cukier, Alexia Rattazzi, Cristiane Silvestre Paula

Psychological Science Faculty Publications

An earlier diagnosis of autism spectrum disorder might lead to an earlier intervention, yet knowledge and awareness of autism spectrum disorder in Latin America and Caribbean Countries are limited. A later autism spectrum disorder diagnosis has been associated with negative consequences, as it might imply later access to services. This study aims to identify factors associated with the age of autism spectrum disorder diagnosis as reported by 2520 caregivers of autistic children from six Latin America and Caribbean Countries. Results indicate that on average, caregivers were concerned about their child’s development by 22 months of age; however, the diagnosis was …

Using Electro-Peroxone Process To Remediate Stabilized Clay, Elaheh Faghih Nasiri, Farhad Qaderi, S. Mustapha Rahmaninezhad

Civil Engineering Faculty Publications

Industrial processes are among human activities that cause the production of a large volume of wastewater containing organic pollutants such as phenol and its derivatives. These pollutants are among the substances that are considered a serious threat to the health of the environment, soil and humans. Soil remediation is crucial for enhancing environmental quality for both humans and other living organisms. This study investigated the use of an electro-peroxone system to remove environmental pollutants from soil. In conjunction with ozonation, the study employed electrochemically generated hydrogen peroxide using a carbon electrode, addressing concerns about transportation and storage. Experiments were structured …

Digital Physicians: Unleashing Artificial Intelligence In Transforming Healthcare And Exploring The Future Of Modern Approaches, Ban Salman Shukur, Mohd Khanapi Abd Ghani, Burhanuddin Bin Mohd Aboobaider

Mesopotamian Journal of Artificial Intelligence in Healthcare

Growing global awareness that attention to health care is the basis for maintaining citizens' quality of life. Health institutions seek to increase interest in electronic care services and enhance patient results by integrating artificial intelligence techniques. Artificial intelligence tools are indispensable to diagnosis, treatment, and patient care. Integrating artificial intelligence techniques into the development of the electronic healthcare environment works to enhance public health and disease prevention and provide free services to all citizens. Designing electronic platforms raises health awareness in society, provides health programs and initiatives, and reaches homes, gardens, schools, and universities through applications based on artificial intelligence. …

Machine Learning Based Lung Disease Prediction Using Convolutional Neural Network Algorithm, M. Sahaya Sheela, G. Amirthayogam, J. Jasmine Hephzipah, S. Gopalakrishnan, S. Ravi Chand

Mesopotamian Journal of Artificial Intelligence in Healthcare

Lung disease prediction is a critical issue in today's world. However, in the past two years, the corona virus disease 2019 (COVID-19) has a broad range and, in a limited percentage of people, a notable effect on the lungs. In the past, the fuzzy logic method has been used to classify lung disease prediction, but it has faced challenges such as difficulties in identifying segmented regions and output inaccuracies. To solve the issue Convolutional neural networks are used in machine learning to predict lung condition. The preprocessing based weighted average filter gives greater weight to the central value, making its …

Darknet-53 Convolutional Neural Network-Based Image Processing For Breast Cancer Detection, R. Rajkumar, S. Gopalakrishnan, K. Praveena, M. Venkatesan, K. Ramamoorthy, J. Jasmine Hephzipah

Mesopotamian Journal of Artificial Intelligence in Healthcare

Breast cancer is a common type of cancer in women, denoted by the uncontrolled growth of cells in breast tissue. Thus, manually detecting breast cancer is time-consuming and necessitates automated systems. Existing breast cancer screening methods often have limited efficacy and may delay detection and complicate the individual treatment planning process. However, early detection of breast cancer can be costly and impact the accuracy of diagnosis. To address this issue, we introduce a Darknet-53 Convolutional Neural Network (darknet-53CNN) approach for classifying breast cancer images and improving precision. Furthermore, we utilise the Contrast-Limited Adaptive Histogram Equalization (CLAHE) technique to pre-process breast …

2024 Viewbook, Office Of Admissions

Viewbook

At IMSA, you will be part of a community of 652 diverse students passionate about learning. Located in suburban Aurora, IMSA’s campus consists of seven residence halls spread across 97 acres. While living and learning on campus, you’ll make new friends, encounter new ideas, and learn to live independently. You will also have the opportunity to explore over 85 clubs, organizations, and IHSAsponsored co-curricular and athletic programs. IMSA provides a safe, nurturing environment. Professional Resident Counselors (RCs) live in each hall and will help you navigate your home away from home through the Residential Life Curriculum. Through this curriculum, you’ll …

Hypermodern Affect, Political Orientation, And Conspiracy Theory Ideation In The Age Of Postmodernity, Rachel L. Anderson

Scripps Senior Theses

Recent scholarly undertakings have aimed to demystify an increasingly salient issue that threatens to disrupt cultural, political, and social domains: conspiracy theory ideation. Underpinning injurious right-wing political coalitions, anti-vaccination campaigns, out-group derogation, and, in drastic circumstances, instances of genocide, conspiracy theory informs myriad anthropogenic movements that jeopardize pillars of democracy and scientific reasoning. Intending to reveal the psychological predictors of conspiracy ideation, the present study will examine the utility of individual perceptions of societal marginalization, feelings of loneliness, belongingness, and authoritarianism in predicting the endorsement of conspiracy theory ideology among rural populations via a cross-sectional online survey and subsequent hierarchical …

Political Social Media Use, Self-Efficacy, And Physical Participation, Paloma Ayala-Abellar

Scripps Senior Theses

Social media has become an integral part of daily life, particularly among Generation Z, transforming the way individuals engage with political movements and activism. This study explores how political social media usage influences feelings of self-efficacy and physical political participation among Generation Z in Los Angeles County. Leveraging survey data from 126 participants, the research examines the role of social media platforms—Instagram, TikTok, Facebook, and Twitter/X—in fostering self-efficacy and mobilizing individuals to engage physically with social movements. Findings reveal that frequent engagement with political content on social media, such as liking, sharing, and following, enhances feelings of self-efficacy, empowering users …

Reduction Of Elopement Using A Multicomponent Treatment In Young Children With Asd, Zina Eluri, Kimberly A. Zoder-Martell, Ivette Andrade, Noemi Trevino

Psychological Science Faculty Publications

Elopement, leaving a caregiver's side without permission or supervision, is a behavior that is more prevalent among children with autism as compared to their typically developing peers. With potentially fatal consequences (e.g., exposure to water, traffic, and strangers), it is reported to cause high levels of stress for caregivers. In the present study, we evaluated the assessment and treatment of elopement using a multicomponent treatment package to address the multiple functions of elopement. Treatment consisted of verbal instructions, blocking, and differential reinforcement of other behaviors with extinction (DRO w/ EXT). An ABAB reversal design was utilized to assess treatment effectiveness. …

A Survey On Artificial Intelligence In Cybersecurity For Smart Agriculture: State-Of-The-Art, Cyber Threats, Artificial Intelligence Applications, And Ethical Concerns, Guma Ali, Maad M. Mijwil, Bosco Apparatus Buruga, Mostafa Abotaleb, Ioannis Adamopoulos

Mesopotamian Journal of Computer Science

Wireless sensor networks and Internet of Things devices are revolutionizing the smart agriculture industry by increasing production, sustainability, and profitability as connectivity becomes increasingly ubiquitous. However, the industry has become a popular target for cyberattacks. This survey investigates the role of artificial intelligence (AI) in improving cybersecurity in smart agriculture (SA). The relevant literature for the study was gathered from Nature, Wiley Online Library, MDPI, ScienceDirect, Frontiers, IEEE Xplore Digital Library, IGI Global, Springer, Taylor & Francis, and Google Scholar. Of the 320 publications that fit the search criteria, 180 research papers were ultimately chosen for this investigation. The review …

Segment Anything: A Review, Firas Hazzaa, Innocent Udoidiong, Akram Qashou, Sufian Yousef

Mesopotamian Journal of Computer Science

Segment Anything (SA) is a state-of-the art method for universal object segmentation, which does not need task-specific training. Herein, we emphasize that SA can overcome the limitations of traditional segmentation frameworks based on requiring extensive manually annotated datasets and predefined architectures, as extensively documented in this review. SB supercharges performance and reduces cost by combining Mutual Information learning with an Efficient Transformer architecture, benefiting from a substantially larger pool of in-the-wild data. In this paper we review SA and its specific key innovations generality, resource boundedness, and scalability to large datasets. We also face obstacles such as data biases, computational …

An Optimized Model For Liver Disease Classification Based On Bpso Using Machine Learning Models, El-Sayed M. El-Kenawy, Nima Khodadadi, Abdelhameed Ibrahim, Marwa M. Eid, Ahmed M. Osman, Ahmed M. Elshewey

Mesopotamian Journal of Computer Science

Liver disease (LD) is a world health concern that requires accurate diagnostic methods. This study proposes an optimized machine learning model (ML) based on BPSO for LD classification using a shared public dataset from kaggle Indicates to liver patients from India. The paper used six ML models such as Random Forest (RF), Support Vector Machine (SVM), Dummy Classifier (DC), Extra Trees Classifier (ET), K-Nearest Neighbors (KNN), and Logistic Regression (LT) to evaluate the performance. Through observations we detected that ET achieved an accuracy of 79.82%. The BPSO hyperparameter optimization optimized ET to enhance accuracy to reach 85%. The paper used …

Benchmarking Generative Ai: A Call For Establishing A Comprehensive Framework And A Generative Aiq Test, Malik Sallam, Roaa Khalil, Mohammed Sallam

Mesopotamian Journal of Artificial Intelligence in Healthcare

The introduction and rapid evolution of generative artificial intelligence (genAI) models necessitates a refined understanding for the concept of “intelligence”. The genAI tools are known for its capability to produce complex, creative, and contextually relevant output. Nevertheless, the deployment of genAI models in healthcare should be accompanied appropriate and rigorous performance evaluation tools. In this rapid communication, we emphasizes the urgent need to develop a “Generative AIQ Test” as a novel tailored tool for comprehensive benchmarking of genAI models against multiple human-like intelligence attributes. A preliminary framework is proposed in this communication. This framework incorporates miscellaneous performance metrics including accuracy, …

Assigning Medical Professionals: Chatgpt's Contributions To Medical Education And Health Prediction, Maad M. Mijwil, Mostafa Abotaleb, Guma Ali, Klodian Dhoska

Mesopotamian Journal of Artificial Intelligence in Healthcare

Artificial intelligence is increasingly present in many applications that help humans accomplish many tasks. It can support improved results, increased productivity, and high efficiency in providing services. Systems developers seek to integrate improved artificial intelligence models into the development of healthcare services and make a significant qualitative shift in the medical field. One recently invented tool is ChatGPT, which deserves extensive advertising space. This tool provides sample answers that help both healthcare workers and patients answer all their questions. It is an important tool in medical education, increasing knowledge in making decisions that can improve the performance of medical professionals. …

An Optimized Framework For Kidney Disease Detection And Prediction Using Dl Techniques, El-Sayed M. El-Kenawy, Marwa M. Eid, Ahmed M. Elshewey, Ahmed M. Osman

Mesopotamian Journal of Artificial Intelligence in Healthcare

In recent years, chronic kidney disease (CKD) has become a crucial public health concern and issue, resulting in serious mortality rates. Therefore, we introduce a powerful system for kidney disease diagnosis that develops up-to-date approaches and applications. Our powerful system is meant for early detection, individual patient monitoring, and optimal CKD patient outcomes. The study introduces a CKD detection ecosystem primarily intended for optimized early detection techniques to be able to manage significant weaknesses in current systems and also for proactive treatment. This ecosystem also provides medical practitioners with up-to-date diagnostic technology, incorporating advanced Convolutional Neural Networks (CNN) that guarantee …

Hybrid Model Approaches For Accurate Time Series Predicting Of Covid-19 Cases, Hussein Alkattan, Bashar Talib Al-Nuaimi, Alhumaima Ali Subhi, Benson Turyasingura

Mesopotamian Journal of Artificial Intelligence in Healthcare

This study compares the performance of ARIMA, LSTM, and hybrid models in predicting COVID-19 cases and analyzing forecast errors. Utilizing real-world data, the models were assessed for accuracy and trend prediction over numerous months. Heatmaps of prediction errors revealed that the hybrid model reliably outperformed ARIMA and LSTM by accomplishing lower error extents. The findings highlight the preferences of combining statistical and deep learning approaches for time series predicting. The results contribute to progressing predicting accuracy, which is basic for pandemic response arranging and public health administration.