Changes In Mentor Teacher Participation In Postgraduate Secondary Initial Teacher Education: Climatic Conditions Preceding Workforce Reform., Alison L. Hilton, Chad Morrison, Felicity I. Mclure, Kathryn G. Dehle, Sandi Fielder

Australian Journal of Teacher Education

Professional Experience placements provide invaluable opportunities for pre-service teachers to connect their expanding knowledge to teaching practice. When done well, these experiences are underpinned by purposeful and continuous guidance from experienced mentor teachers. Significantly, the participation and engagement of Australian mentor teachers in this process is voluntary in nature, meaning the system relies on teachers ‘opting-in’ to mentoring. This research examines mentor teacher participation within Secondary-level initial teacher education courses and highlights issues relating to overall mentor teacher (and host school) engagement. Analysis of placement data over a five-year period to 2021 illustrates a significant change in participation with a …

Fostering Learner Autonomy In Efl Setting Through Multiliteracy Pedagogy: A Case In Tertiary Education, Desi Surlitasari Dewi, Rudi Hartono, Sri Wahyuni, Sri Lestari

Australian Journal of Teacher Education

The intersection of learner autonomy and multiliteracy pedagogy in EFL settings remains underexplored. To address this gap, this study investigates how multiliteracy pedagogy fosters learner autonomy in the EFL context. The study involved 24 university students majoring in English, for whom English was primarily a third language. The participants attended an intermediate speaking course, a compulsory class in their curriculum. A learner autonomy questionnaire was administered to measure autonomy in the EFL speaking context before and after the implementation. Additionally, semi-structured interviews and classroom observations enriched the data. The findings indicate a significant improvement in learner autonomy following the implementation …

Raising Information Literacy Of Biology Pre-Service Teachers: Study On Three Problem Solving Methods, Muhammad Saefi, Hadi Suwono, Rifka Fachrunnisa, Widi Cahya Adi, Herawati Susilo, Ahmad Kamal Sudrajat

Australian Journal of Teacher Education

Integrating information literacy teaching methods with subject-content curricula to develop prospective biology teacher students' abilities is still problematic. This quasi-experimental research, with a nonrandomized pretest-posttest control group design, intends to compare the influences of challenge-based learning (CBL), problem-based learning (PBL), and problem-solving through classroom discussion (PCD) – as the control- in improving information literacy. This study involved 183 students from three classes of freshmen and three sophomores in the biology education program. The results showed that CBL significantly improved students' information literacy compared to PBL and PCD across five indicators: 1) identifying the required information, 2) attaining the required information …

Teacher Resilience In South Africa: The Self-Efficacy And Teacher Efficacy Of Pre-Service Teachers Preparing To Teach In A Challenged Context, Carine Jonker, Marien Alet Graham, Liesel Ebersöhn

Australian Journal of Teacher Education

This publication addresses a gap in high-quality, quantitative studies on teacher resilience within the less-researched context of the Global South. Specifically, it examines the self-efficacy and teacher efficacy of three cohorts of final-year pre-service teachers in South Africa (N = 1,193). This article aimed to contribute evidence on teacher resilience from an under-researched African context and population. Despite contextual challenges, the pre-service teachers indicated high intrapersonal resilience-enabling pathways, with a statistically significant relationship between their self-efficacy and teacher efficacy. The authors propose an evidence-based framework of how high levels of self-efficacy and teacher efficacy may enable prospective teachers to teach …

Deep Learning For Precise Mri Segmentation Of Lower-Grade Gliomas, Wusat Ullah, Hamza Naveed, Saalam Ali

Sustainable Machine Intelligence Journal

Brain tumors represent a significant public health issue worldwide, affecting individuals across all age groups and leading to severe neurological and cognitive deficits. Lower-grade gliomas (LGGs), classified by the World Health Organization (WHO) as grade II or III, are characterized by more diffuse infiltration into brain tissue compared to high-grade gliomas but exhibit a slower growth rate. Precise evaluation of tumor resection and detection of residual tumor cells are critical, as incomplete resection is associated with an increased risk of disease recurrence. This study reviews an automated, deep learning-based approach for brain tumor segmentation in Magnetic Resonance Imaging (MRI) using …

Advanced Fruit Quality Assessment Using Deep Learning And Transfer Learning Technique, Walid Abdullah

Sustainable Machine Intelligence Journal

Ensuring the quality of fruits is essential for consumer satisfaction and food industry standards. Accurately identifying and classifying high-quality fruits is essential for maintaining good health and nutrition. The subjective and labor-intensive nature of traditional techniques of evaluating quality highlights the need for automated solutions. This study utilized transfer learning with Four pre-trained convolutional neural network (CNN) models—MobileNetV2, ResNet50, VGG16, and EfficientNetB0 —to detect the quality of five fruits: apple, banana, strawberry, orange, and mango. All models were trained and tested with a public labeled fruit images dataset, and their performance was evaluated in terms of accuracy, precision, recall, and …

A Hybridized Cnn-Lstm-Mlp-Knn Model For Short-Term Solar Irradiance Forecasting, Doaa El-Shahat, Ahmed Tolba

Sustainable Machine Intelligence Journal

The accurate prediction of solar irradiance is essential for maximizing renewable energy production. Despite some researchers struggling to achieve sufficient prediction accuracy and model quality, we are working on developing a forecasting model for solar radiation using advanced artificial intelligence techniques. Solar energy offers a sustainable alternative to fossil fuels and has a wide range of applications, making the development of an effective forecasting model crucial. This paper proposes a hybrid model that combines deep learning and machine learning methods, denoted as CNN-LSTM-MLP-KNN. By combining Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), Multilayer Perceptron (MLP) and K-Nearest Neighbors (KNN), …

Enhancing Software Effort Estimation In Healthcare Informatics: A Comparative Analysis Of Machine Learning Models With Correlation-Based Feature Selection, Muhammad Abid, Sama Bukhari, Muhammad Saqlain

Sustainable Machine Intelligence Journal

Software effort estimation is one of the most crucial processes in the management of software projects predominantly related to the healthcare industry. It involves the prediction of efforts needed to develop and endorse different software applications. To render clinical projects on time within the budget range, flawless projection with efficient planning is incumbent. This paper discloses the techniques that utilize machine learning models for ameliorating software effort estimation by using biomedical datasets, including Breast Cancer Wisconsin, COVID-19, Sleepy Drivers EEG Brainwave, Heart Disease Prediction and Food Nutrition. All of these datasets are cleaned and prepared by handling missing values, converting …

Mechanistic Insights Into Nigerian Lithium Ores: Implications For Energy And Industrial Applications, Seun Isaiah Olajuyi, Hassan Adamu Abubakar, O. S Ogunmodimu, D. O . Afolayan

All Rsif Scholars' Publications

Lithium is a critical element in battery technology for renewable energy storage applications. The mineral offers potential solutions to the current surge in global energy demand and can position Nigeria as a potential key player in the lithium supply chain. However, little to nothing is known of the lithium deposits in Nigeria. This review explores the formation, geology, and ongoing exploration activities of lithium in Nigeria. The study provides an overview of the geological settings and mineralogical characteristics of the Nigerian lithium-bearing pegmatites and ores, comparing them with global deposits. It also examines current lithium mining and processing techniques, identifies …

Food Finding Ability Does Not Predict Annual Survival In Winter Resident Birds, Aidan Hand

Honors Program: Senior Projects (Public)

Small non-migratory birds in temperate locations face many challenges to survive the winter. They must be able to find enough food, which is in decreased supply, to fuel the energetic demands of staying warm. Prior work has demonstrated that birds show individual variation in their foraging behaviors that could contribute to the discovery of new foraging patches, such as novel environment exploration. A better ability to discover new food sources could increase a bird’s chance of surviving the winter by increasing its access to new food patches. To test this hypothesis, we used radio frequency identification (RFID)-enabled bird feeders to …

“Take Eight Bits And Call Me In The Morning” Video Games, Well-Being, And The Psychology Of Nostalgia, Nicholas Bowman

Media Studies - All Scholarship

For nearly 60 years, video games have arrested the attention of players, inviting us to interact and interface with on-screen content. More than just short-term entertainment experiences, video games are part of a broader cultural milieu—they are the most profitable media entertainment sector (global revenues nearly $400 billion USD in 2023) with more than 3.5 billion players globally (Clement, 2023). Similar to other entertainment media, some video game intellectual properties have transcended generations and, in many cases, grown beyond the medium itself: common cultural touchstones include Super Mario Bros. and Sonic the Hedgehog, along with seemingly endless subcultures of devoted …

Artificial Intelligence And The Hipaa Privacy Rule: A Primer, Stacey A. Tovino

Faculty Articles

No abstract provided.

Dangers From Regulatory Vacuums In Outer, Inner, And Near Space, Rob Frieden

Journal of Air Law and Commerce

Space, “the final frontier,” has become an attractive but increasingly risky market for both public and private investments. Gold rush enthusiasm anticipates solutions to the digital divide via small low earth orbiting satellites, extraction of valuable minerals from asteroids, a vibrant space launch and tourism industry, and expanding earth observation opportunities. Such entrepreneurial boldness juxtaposes with a severe lag in government oversight, consumer safeguards, and essential operational guardrails. The ambitious plans of Elon Musk and other space entrepreneurs could fail—despite recent market success—as SpaceX’s plans for 148 rocket launches in 2024.

Without substantial refinement of global space treaties and effective …

Flight Path To Accountability: A Legal Comparison Of Boeing’S Shortcomings, Airbus’S Successes, And International Aviation Safety Regulations, Riley M. Wagstaff

Journal of Air Law and Commerce

Investigations following two separate and deadly crashes of Boeing 737 8 Max aircraft revealed that America’s most trusted manufacturer had failed to notify pilots and airliners alike of a new Maneuvering Characteristics Augmentation System, commonly known as MCAS. What had first seemed like an accident unfortunately had a deeper and traceable history. Through relatively new United States legislation, Boeing was essentially permitted to oversee their own operations and grant airworthiness certifications for their own aircrafts. This practice is wholly unlike the detailed certification process of the European manufacturing giant, AirBus, by the European Aviation Safety Administration (EASA). This comment sheds …

Acc 362: Cryptoassets & Accounting Implications, Sean Stein Smith

Open Educational Resources

AI Policy and course materials (case studies) for course ACC 362: Cryptoassets & Accounting Implications.

Arh 167 Tradition And Innovation In The Art Of The West (Introductory Art History Course), Sharon L. Jordan

Open Educational Resources

In this OER section of the course Tradition and Innovation in the Arts of the West, students will be introduced to arts of different styles and time periods spanning the ancient world to the beginning of the modern era focusing mainly on the development of Western art within a global context.

Spatiotemporal Land Use Changes Dynamics Impacts On Natural Reserves In West African Dryland: Drivers, Carbon Emissions And Climate Change Implications, Issaka Abdou Razakou Kiribou, Kangbéni Dimobe, Charles Lamoussa Sanou, Sintayehu W. Dejene

All Rsif Scholars' Publications

Land use change (LUC), primarily driven by anthropogenic pressure, poses a major threat to West African drylands’ vegetation. As critical indicators of ecosystem sustainability, LUC patterns reflect how human activities alter carbon dynamics and climate vulnerability. This systematic review analyzes the spatial and temporal dynamics of LUC impacts on natural reserves. Using targeted keywords, 18 peer-reviewed articles and institutional reports were synthesized to assess LUC patterns, identify key biophysical and socio-economic drivers, and evaluate carbon and climate implications. Findings show substantial losses of natural ecosystems due to land conversion, deforestation, and soil degradation. Between 1975 and 2013, Sahelian savanna, woodland, …

A Scalable Approach To Internet Of Things And Industrial Internet Of Things Security: Evaluating Adaptive Self-Adjusting Memory K-Nearest Neighbor For Zero-Day Attack Detection, Promise Ricardo Agbedanu, Shanchieh Jay Yang, Richard Musabe, Ignace Gatare, James Rwigema

All Rsif Scholars' Publications

The Internet of Things (IoT) and Industrial Internet of Things (IIoT) have drastically transformed industries by enhancing efficiency and flexibility but have also introduced substantial cybersecurity risks. The rise of zero-day attacks, which exploit unknown vulnerabilities, poses significant threats to these interconnected systems. Traditional signaturebased intrusion detection systems (IDSs) are insufficient for detecting such attacks due to their reliance on pre-defined attack signatures. This study investigates the effectiveness of Adaptive SAMKNN, an adaptive k-nearest neighbor with self-adjusting memory (SAM), in detecting and responding to various attack types in Internet of Things (IoT) environments. Through extensive testing, our proposed method demonstrates …

Clinical Application Of Chambo Tilapia Fish Skin Xenograft For Skin Tissue Regeneration: A Case Report In A Partial-Thickness Burns Pediatric Patient, Bhahat Lawlley Zimba, Dennis Mtunduwatha, David Hara, Mukondwedi Mchazime, Aaron Stima, Mwemezi Rwiza, Elingarami Sauli

All Rsif Scholars' Publications

WHO reports that burns account for more than 180,000 deaths annually with the majority of cases coming from low and middle-income countries due to limited resources in the management of burns. Currently, burns are being treated using silver sulphadiazine and gauze dressings, but this method has demonstrated to have some shortfalls. Alternative methods are being researched to find a better treatment modality with a faster healing duration. This case report describes the novel application of Chambo tilapia (Oreochromis lidole) fish skin xenograft in the treatment of partial thickness burns in a patient. The research was conducted on a 5-year-old female …

Smallholder Farmers’ Livelihood Vulnerability To Climate Change In Metuge District, Northern Mozambique, Heraclito Rodrigues Comia, Fekadu Beyene Kenee, Fred Charles Nelson, Serafino Afonso Rui Mucova

All Rsif Scholars' Publications

Paper • The following article is Open access

Smallholder farmers’ livelihood vulnerability to climate change in Metuge district, Northern Mozambique

Heráclito Rodrigues Comia, Fekadu Beyene Kenee, Fred Charles Nelson and Serafino Afonso Rui Mucova

Published 13 June 2025 • © 2025 The Author(s). Published by IOP Publishing Ltd Environmental Research Communications, Volume 7, Number 6Citation Heráclito Rodrigues Comia et al 2025 Environ. Res. Commun. 7 065014DOI 10.1088/2515-7620/ade123

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Abstract

Introduction. Mozambique is one of the country’s most vulnerable to climate …

Improving Interprofessional Neurology Training Using Tele-Education, Fariha Jamal, Amtul Farheen, Christine Rizk

Faculty, Staff and Students Publications

Background: Neurological disorders are a leading cause of disability and death worldwide. Their burden on the health care system has substantially increased in the past 25 years, due to more effective treatments and longer life expectancies. The Veterans Health Administration has seen increases in neurology referrals and patients with neurologic disorders.

Observations: Collaborative efforts among primary care, geriatrics, neurology, psychiatry, physical medicine and rehabilitation, social work, and other disciplines are needed to properly care for veterans with neurologic disorders. Neurology education is an important tool for clinicians to better care for veterans with neurologic disorders. The use of technology and …

Stigmatization In The Pre-Death Interactions Of Family And Friends Bereaved By A Drug-Related Death, Joshua H. Stout, Benjamin Fleury-Steiner

Faculty Publications - Criminal Justice Sciences

As part of a larger analysis focused on family members and adult peers bereaved by a drug-related death (DRD), the present study explores how stigmatization is experienced in pre-death interactions. Respondents were asked about the decedent’s history of substance use, experiences with addiction treatment, and the events leading up to the DRD through 35 semi-structured qualitative interviews. Findings reveal several themes related to stigmatization experienced before, during, and after addiction treatment. These include experiences of difficulty accessing treatment, pains of separation and isolation involving facilities out of state, and increased hopelessness with repeated relapses following treatment. Conversely, some respondents described …

Unreadable, Unfindable, And Incomplete: Evaluating Prea Information In State Correctional Handbooks, Jessie L. Krienert, Jeffrey A. Walsh, Caitlyn Donnelly

Faculty Publications - Criminal Justice Sciences

The Prison Rape Elimination Act (PREA) was enacted in 2003 to prevent sexual abuse in correctional settings through a zero-tolerance framework. While all states formally acknowledge PREA, the accessibility, clarity, and completeness of the information provided to incarcerated individuals remain uncertain. This mixed-methods study evaluates PREA-related content in 62 state correctional handbooks from 49 states, assessing three core dimensions: readability, findability, and substantive content. Grounded in compliance theory and institutional betrayal, the analysis focuses on how correctional institutions communicate PREA protections, prevention strategies, and reporting procedures. Results reveal that most PREA content exceeds the literacy levels of the intended audience, …

Investigation Of Sleep Disorders And Related Influencing Factors Among The Elderly In Southeast Coastal Regions Of China: A Cross-Sectional Survey Analysis, Yaopian Chen, Fu Su, Haixia Xiang, Jinhong Xia

Student Publications [Scholarly]

Objective: To assess the sleep status and prevalence rate of the elderly in southeast coastal areas of China, and analyze related factors. Methods: A questionnaire survey was conducted among elderly individuals in Wenzhou City, Zhejiang Province, situated in the southeast coastal areas of China, using a multi-stage random sampling method. A total of 903 elderly people aged ≥ 60 years were selected for the survey. The questionnaire aimed to assess their sleep status using PSQI and to evaluate related factors using Self-designed General Information and Health Behavior Questionnaires, SAS, GDS-15, ESS, AD8, SHAP, WHOQOL-BREF, among other tools. Logistic regression was …

Application Of A Digital Quality Measure For Cancer Diagnosis In Epic Cosmos, Andrew J Zimolzak, Sundas P Khan, Hardeep Singh, Jessica A Davila

Faculty, Staff and Students Publications

Objectives: Missed and delayed cancer diagnoses are common, harmful, and often preventable. We previously validated a digital quality measure (dQM) of emergency presentation (EP) of lung cancer in 2 US health systems. This study aimed to apply the dQM to a new national electronic health record (EHR) database and examine demographic associations.

Materials and methods: We applied the dQM (emergency encounter followed by new lung cancer diagnosis within 30 days) to Epic Cosmos, a deidentified database covering 184 million US patients. We examined dQM associations with sociodemographic factors.

Results: The overall EP rate was 19.6%. EP rate was higher in …

Influence Of Time Pressure And Flood Information Type On Flood Alert Effectiveness In Driving, Katherine R. Garcia, Scott Mishler, Jing Chen

Psychology Faculty Publications

Flood alerts are a means of risk communication that alerts the public to potential floods. The purpose of this research was to investigate factors that affected drivers' understanding and actions given a flood presented through a mobile navigation application. Two experiments were conducted to examine the effects of time pressure and type of flood information on drivers' planned actions when faced with potential flooding. Participants were asked about their planned actions given one type of flood information in a driving scenario either with or without time pressure. Our results indicated significant differences in participants' behaviors across the different flood information …

Using Mindfulness To Manage Moral Injury In Veterans: Feasibility And Satisfaction Of A Pilot Randomized Controlled Trial, Michelle L. Kelley, Adrian J. Bravo, Elizabeth E. Burgin, Susan A. Gaylord, Christine Vinci, Megan Strowger, Jeffrey M. Gabelmann, Joseph M. Currier

Psychology Faculty Publications

Objective

The present study assessed program feasibility and satisfaction among recent-era veterans who participated in Mindfulness to Manage Moral Injury (MMMI), a live facilitated web-based 7-week mindfulness-based program targeting moral injury among veterans.

Method

In total, 56 post-9/11 veterans were recruited with 28 randomized to the MMMI condition and 28 to the Education and Support (ES) condition. Most participants identified as being White (71.4%), male (66.1%), and had a reported mean age of 41.50 years (Median = 39.50, SD = 9.26).

Results

Among the 56 participants, 82.1% attended at least one treatment session and 44.6% completed all seven sessions. There …

Human Perception Of Ai Capabilities At Classifying Perturbed Roadway Signs, Katherine R. Garcia, Jing Chen, Yanru Xiao, Scott Mishler, Cong Wang, Bin Hu

Psychology Faculty Publications

Artificial Intelligence (AI) is crucial to numerous functions required for driving automation systems, including the computer vision techniques used to detect the roadway environment and make real-time decisions. However, the images used as inputs to the AI system may be maliciously perturbed, or manipulated, causing the AI system to make an incorrect classification. In this study, we examined humans’ perception of the AI’s computer vision capability of classifying various road sign images, including the original images, images with two different types of malicious attacks, and images that are scrambled randomly at the pixel level. Our results showed that participants rated …

Am I As Effective At Identifying Emotions As Artificial Intelligence? A Comparative Study Of Emotional Recognition, Traci R. Grove, Alexandra T. Lucas, Maryann Martin, Cathleen M. Deckers, Lulu Sherif Mahmood, Nicole Danaher-Garcia, Mark W. Scerbo, Suzan Kardong-Edgren, Janice C. Palaganas

Psychology Faculty Publications

Background

Learning conversations, or dialogues aimed at deepening understanding and reflection, are deeply influenced by emotions. Effective communication is influenced by emotional intelligence - the ability to recognize, understand, and manage both one’s own and others’ emotions. While advances in artificial intelligence (AI) offer new tools for emotion recognition, these technologies still struggle with accurately interpreting subtle and culturally diverse emotional expressions, sparking debate about their reliability and effectiveness. This article provides a comparative analysis of human versus AI recognition of emotions during an end-of-course reflective learning conversation.

Methods

Emotions during a structured post-conference debriefing were analyzed and coded by …

Similarity May Be Safer: The Effect Of Similarity Between Speech-Based Takeover Request Style And Driver Personality On Self-Driving Takeover Performance, Keer Ma, Jianfeng Wu, Yanxi Lin, Zihan Li, Songyang Guo, Dongfang Jiao, Shihan Yu

Psychology Faculty Publications

In Level 3 automated driving, it is critical that drivers can rapidly and effectively shift from non-driving related tasks (NDRT) back to the driving task. While previous research has examined the modality, timing, and vocal characteristics of takeover requests (TORs), little is known about how the style of speech-based TORs interacts with drivers’ personality traits. This study conducted a driving simulator experiment with 49 participants using a 2 × 2 within-subjects design. Drawing on the dominant-submissive dimension of personality, we examined the similarity of personality tendencies between speech-based TORs and drivers under takeover scenarios of varying urgency (low: road construction; …