Digital Commons Network^™

Cardiovascular Disease And Fracture Risk In People With Type 2 Diabetes: A Nationwide Matched Case–Control Study, Aksayan Arunanthy Mahalingasivam, Annika Vestergaard Kvist, Joop P. Van Den Bergh, Cassandra Smith, Joshua R. Lewis, Peter Vestergaard, Nicklas Højgaard Hessellund Rasmussen

Research outputs 2022 to 2026

To examine, among people with type 2 diabetes (T2D), whether cardiovascular disease (CVD) phenotypes and cardiovascular medications are associated with any fracture as the primary outcome and major osteoporotic fracture (MOF) as a secondary outcome. Nationwide registry-based matched case–control study in Denmark (2013–2021) among people with T2D. Cases were individuals with T2D who sustained an incident fracture (n = 12,390), and controls were fracture-free individuals with T2D matched 1:3 by age, sex, T2D onset date, and weighted Charlson Comorbidity Index (n = 37,170). The exposures were overall CVD, prespecified clinical CVD phenotypes (acute myocardial infarction (AMI), stroke, heart failure, atrial …

Co-Creating An Intervention To Prevent Injuries In Police Force Recruits: A Concept Mapping Study Of Police Force Recruits, Police Force Staff, Health Professionals, And Research Experts, Myles Murphy, Andrea B. Mosler, Garth Allen, Alex Donaldson, Clare L. Ardern, Carolyn A. Emery, Martin Hägglund, Jonathan M. Hodgson, Joanne L. Kemp, Debra Langridge, Tiffany Mcalinden, Thomas Mirco, Sophia Nimphius, Simone Radavelli-Bagatini, Kiera Staley, Vanessa Sutton, Evert Verhagen, Andrea M. Bruder

Research outputs 2022 to 2026

Objective: Police force recruits have a high musculoskeletal injury burden, which results in a substantial economic burden and can lead to attrition. The objective of this study was to identify and prioritise the strategies perceived as important and feasible to reduce the prevalence, incidence, and burden of injury in police force recruits. Design: Mixed-methods concept mapping study. Methods: Forty-eight participants were recruited from four broad groups: police force recruits/officers; police force staff; health professionals; and research experts. Participants brainstormed statements in response to a prompt (“To prevent injury and/or reduce the impact of injury on law enforcement recruit training, I …

Coastal Land Uplift And Intensified Land-Use Influence Seagrass Carbon And Nitrogen Sink Capacity Over Millennial Timescales, Martin Dahl, Sara Braun, Maria E. Asplund, Mats Björk, Joeri Kaal, Hans W. Linderholm, Elinor Andrén, Thomas Andrén, Žilvinas Ežerinskis, Madhavu Vidya Faizal, Sara C. Forsberg, Andrius Garbaras, Malin E. Kylander, Pere Masqué, Miguel A. Mateo, Justina Šapolaitė, Oscar Serrano, J. Robin Svensson, Olena Vinogradova, Martin Gullström

Research outputs 2022 to 2026

Seagrass meadows store sedimentary carbon and nitrogen and thus play an important role in climate change mitigation and nutrient retention globally. Here we reconstruct the impact of land-use and coastal land uplift on millennial–scale seagrass (Zostera marina) blue carbon and nitrogen accumulation in the Baltic Sea based on a multiproxy paleoreconstruction approach. We show that increased landscape clearance resulted in higher terrestrial runoff and increased accumulation of carbon and nitrogen, whereas land uplift led to hydrodynamically sheltered environments facilitating seagrass colonization, occurring 1700 and > 4000 years ago. The establishment of the seagrass meadows resulted in enhancement of the quality of …

Cxcr3 Is Associated With T-Cell-Induced Heart Damage In Acute Rheumatic Fever, Francis M. Middleton, Reuben Mcgregor, Natalie Lorenz, Sarah Kilian, Anna E.S. Brooks, Saem Mul Park, Ciara Ramiah, Judith Tresidder, Timothy C. Barnett, Michael Serralha, William J. Martin, Florina Chan Mow, Glenn Pearson, Mark Mayo, David I. Broadhurst, Julie Bennett, Johann Brink, Nigel J. Wilson, Anna P. Ralph, Rachel H. Webb, P. Rod Dunbar, Jonathan Carapetis, Nicole J. Moreland

Research outputs 2022 to 2026

The pathogenesis of acute rheumatic fever (ARF) is poorly understood, limiting the development of immune-modulating therapies to treat disease and prevent progressive heart damage. Here, participants with definite ARF were compared to other severe acute paediatric conditions and matched healthy controls by profiling circulating immune molecules and cells to inform disease mechanisms and potential druggable pathways. ARF shared immunological similarities with other inflammatory conditions, including elevated serum IL-6 and an increased frequency of circulating CD4⁺ T cells. However, elevation of the chemokine CCL5 and immunoglobulin IgG3, along with reduced expression of the chemokine receptor CXCR3 in the T cell …

Effects Of Resisted Movement Training On Change-Of-Direction Speed In Recreationally Active And Trained Individuals: A Systematic Review With Network Meta-Analysis And Meta-Regression, Mingyang Zhang, Urs Granacher, Ruixiang Yan, Hallvard Nygaard Falch, Rodrigo Ramirez-Campillo, Kai Xu, Xing Zhang, Jinming Li, Shubo Xu, Yulin Luo, Duanying Li, Jian Sun

Research outputs 2022 to 2026

Background: The ability to change directions quickly is critical for performance and injury prevention in multidirectional sports, yet the influence of resisted movement training (R-MT) on change-of-direction (COD) speed remains uncertain. Therefore, we aimed to examine the effectiveness of various R-MT methods on COD speed in individuals ranging from recreational to international level and to determine the relationship between test angle and COD adaptations. Methods: We systematically searched PubMed/MEDLINE, Embase, Web of Science, SPORTDiscus, CINAHL, Scopus, and Google Scholar from inception to August 2025. Random-effects pairwise meta-analyses and a Bayesian network meta-analysis (NMA) synthesized effects of vertically resisted plyometric and …

Genetic Drivers Of Progression In Alzheimer’S Disease Are Distinct From Disease Risk, Celeste E. Cohen, Shane Fernandez, Umran Yaman, Ahmad R. Ehyaei, Eleftheria Kodosaki, Aydan Askarova, Tenielle Porter, Eleanor O’Brien, Paul Maruff, Alexi Nott, John A. Hardy, Simon M. Laws, Dervis A. Salih, Maryam Shoai

Research outputs 2022 to 2026

Background: Recent trials in Alzheimer’s disease (AD) demonstrate encouraging outcomes. These trials target risk mechanisms identified through genetic analysis whilst directly aiming to reduce progression rates. Evidence from other neurodegenerative diseases suggests the genetics of progression is distinct from risk of disease. To expand these initial successes and improve clinical outcomes further we need to understand genetics of progression of disease. These can be deduced through rigorous analysis of meticulously phenotyped longitudinal cohorts. In this study we first looked at known genetic drivers of risk, namely polygenic risk scores for AD and APOE‑ε4, to assess their role in progression. This …

Implementation And Effectiveness Of A Food Education Intervention To Promote Plant-Based Foods: A Partially Cluster-Randomized Controlled Trial, Henna Vepsäläinen, Satu Kinnunen, Sari Niinistö, Leena Forma, Suvi T. Itkonen, Tuuli E. Korhonen, Liisa Korkalo, Heli Kuusipalo, Jelena Meinilä, Kaija Nissinen, Susanna Raulio, Ros Sambell, Mari Åkerlund, Suvi M. Virtanen, Maijaliisa Erkkola

Research outputs 2022 to 2026

Background: Legumes can substitute for meat and are thus a particularly important food group for environmental sustainability. As the use of legumes among Finnish children is marginal, there is potential for a substantial increase in their consumption. However, food education delivered through early childhood education and care (ECEC) settings has rarely focused specifically on environmentally sustainable foods, such as legumes. This study describes the implementation and effectiveness of an ECEC-delivered food education intervention within the FoodStep study. Methods: The partially cluster-randomized FoodStep intervention aimed to increase the supply of vegetables, legumes, fruits, berries, and sustainable fish while reducing the provision …

Local Government Policies Restricting Unhealthy Outdoor Food Advertising In Australia: Stakeholder Perspectives Identify Political Willingness Is Key To Overcoming Barriers, Alexia Bivoltsis, Frith Klug, Jacinta Francis, Clare Whitton, Gina S.A. Trapp, Claire E. Pulker

Research outputs 2022 to 2026

Background: Unhealthy outdoor food advertising is strongly linked to poor diet, highlighting the need for policies. Western Australian (WA) local governments (LGs) can restrict advertising on their owned infrastructure through their Public Health Plans, but limited policy action has occurred. This study aimed to explore the perspectives of WA LGs and public health organizations (PHOs) on current and potential policies restricting unhealthy outdoor food advertising on LG owned infrastructure to (1) identify barriers and enablers to the policy making process, (2) assess the current level of political willingness (i.e. political want, political can and political must) and (3) inform development …

Living Next Door To Mcdonald’S: A Qualitative Study Of Community Submissions And Resident Realities Pre- And Post Development, Roslyn Giglia, Jacinta Francis, Jana Buckle, Clare Whitton, Ros Sambell, Frith Klug, Lukar Thornton, Siobhan Hickling, Katherine Kent, Gina Trapp

Research outputs 2022 to 2026

Background: The proliferation of fast-food outlets (FFOs) in residential areas has raised growing concerns about their impact on community health, safety, and wellbeing. This qualitative study examined both pre-development community consultation submissions and post-development resident experiences surrounding the development of a McDonald’s outlet in a newly established suburb on the urban fringe of Perth, Western Australia (WA). Methods: Using a qualitative descriptive design, the study analyzed 183 community submissions lodged with the local council prior to development and conducted semi-structured interviews with 11 residents living within 300 m of the outlet after construction. Results: Content analysis revealed strong opposition, with …

A Genomic Approach For Accurate Identification Of Closely Related Species With Next-Generation Sequencing Samples, Nour Al Dain Marzouka, Amira Al-Aamri, Fatima Alshamsi, Mariam Khalili, Sarah El Hajj Chehadeh, Meera S. Mohamed, Yassir Mohammed Eltahir, Rafeek Koliyan, Mohamed Moustafa Abdelhalim, Assem Attia, Mira Mousa, Guan Tay, Habiba Alsafar

Research outputs 2022 to 2026

Accurate species identification from Whole Genome Sequencing (WGS) data remains challenging, particularly for closely related species such as sheep (Ovis aries) and goats (Capra hircus). Through analysis of mapping quality metrics and Kraken2 taxonomic classification of 40 WGS sheep and goat samples, we demonstrate that conventional approaches yield ambiguous results, with overlapping alignment rates and inconclusive taxonomic assignments. We present a robust comparative genomic approach that uses species-specific genomic regions to distinguish these species in WGS samples. We define species-specific regions as those exhibiting distinctive coverage patterns: average coverage when samples are aligned to their matching reference genome but absent/low …

A Global Image-Based Data Repository Of Killer Whale Interactions With Elasmobranchs, Emma Luck, Isabella L. Reeves, Maeva Terrapon, Rebecca Wellard, Stephanie K. Venables, Alison V. Towner, Alison A. Kock, Charlotte Hussain, Molly Altschwager, Rosie Ballard, Evans Baudin, Nancy Black, Evan Brodsky, Jade Cantrall, Julio Cardoso, Matt I.D. Carter, Oliver Clarke, Santiago Diaz-Pazmino, David Donnelly, Georgina Cabayol Ferraz, Arlaine Francisco, Laura González García, Mark Jackman, Aimee Jan, Eric Martin, Dane Mcdermott, James Moskito, Blair Ranford, Jesús Erick Higuera Rivas, Jasmin O’Brien, Anton Oleynik, Hernán Orellana-Vásquez, Daniela Alarcón Ruales, Gemma Sharp, Jade Sharp, Alisa Schulman-Janiger, Colleen M. Talty, Paul Tixier, John A. Totterdell, Steve Truluck, Jennah Tucker, Tara Weberg, M. Fernanda Urrutia-Osorio, Machi Yoshida, Jochen R. Zaeschmar, Lauren Meyer

Research outputs 2022 to 2026

Killer whales (Orcinus orca) are cosmopolitan apex predators that interact with numerous species, including sharks, skates, and rays (subclass Elasmobranchii). Interactions between killer whales and elasmobranchs have garnered attention from the scientific community, but the dynamics of these events are poorly understood, as interactions are often challenging to observe. In this study, we collated imagery of interactions between killer whales and elasmobranchs to create the first image-based repository of interspecific interactions between marine predators. A total of 320 photos and videos from 82 unique interactions were collected from 12 countries. A minimum of 18 elasmobranch species across 16 genera were …

Bone, Muscle, And Physical Function Measures In Older Adults According To Levels Of Social Disadvantage: A Cross-Sectional Study, Jason Talevski, Sharon Brennan-Olsen, Stefanie Bird, Sara Vogrin, Alison Beauchamp, Mizhgan Fatima, Cassandra Smith, Gustavo Duque

Research outputs 2022 to 2026

Summary: This cross-sectional study of 300 older adults (aged ≥ 50 years) found that less education, lower income, and health care card ownership are associated with reduced bone, muscle, and physical function measures. This underscores the need for targeted preventive strategies for osteoporosis and sarcopenia that address socioeconomic-related disparities. Purpose: The prevalence of chronic diseases follows a social gradient, although this is unclear in musculoskeletal conditions. This study aims to examine the association between social disadvantage and diagnostic measures of osteoporosis and sarcopenia in community-dwelling older adults. Methods: A single-centre, cross-sectional study was conducted in adults (≥ 50 years) residing …

Do Flywheel Exercises Provide Eccentric-Overload Training?, Darjan Spudić, Kazunori Nosaka

Research outputs 2022 to 2026

Interests in eccentric resistance exercises have been increasing in both research and practice. However, implementing eccentric resistance exercise training is often challenging due to the mechanical limitations of traditional training equipment. To address this, flywheel (FW) devices emerged as a practical alternative. FW devices are commonly considered to provide eccentric-overload training, in which the load is greater in eccentric than concentric phase. However, this is not always the case. In this article, we summarize the mechanical and physiological factors influencing the effectiveness of FW devices in achieving eccentric overload. Then, we discuss a significant limitation of FW resistance exercise in …

Depression, Psychological Distress, And Coping Strategies Among African Migrants In Australia: A Cross-Sectional Web-Based Study, Uchechukwu Levi Osuagwu, Lillian Mwanri, Edith N. Botchway-Commey, David Chisanga, Agness Tembo, Nnaemeka Meribe, Kathomi Gatwiri, Obed Adonteng-Kissi, Kerrie P. Doyle, Frank Darkwa Baffour, Ahmed A. Moustafa

Research outputs 2022 to 2026

Background: African migrants constitute a significant proportion of the Australian population. While migration and resettlement offer opportunities, the associated stressors may adversely affect the mental health and well-being of African migrants. This study explored, for the first time, the prevalence of depression and psychological distress among African migrants in Australia and the relationship between coping mechanisms and mental health outcomes. Methods: A web-based cross-sectional survey of adult African migrants in Australia was conducted between February and May 2022. Participants (N = 167) who did not have a refugee status who resided in Australia for at least 12 months were recruited …

Efficient Removal Of Methyl Orange Dye Via A Mnfe₂O₄/Go Nanocomposite With A Ctab Dual-Layer Surfactant Coating, Taher Karami, Soleiman Bahar, Reza Mostafazadeh

Research outputs 2022 to 2026

This study investigated the adsorption of methyl orange (MO) from aqueous solutions using a novel MnFe₂O₄/GO nanocomposite coated with cetyltrimethylammonium bromide (CTAB). The dual-layer surfactant modification facilitates both electrostatic and lipophilic interactions. This enhancement significantly improves dye removal efficiency. The adsorption process was monitored using spectrophotometry at 464 nm, with various characterization techniques confirming the structural and magnetic properties of the nanocomposite. The optimized parameters for maximum adsorption include a 2-minute ultrasonic dispersion, pH 6.8, and a surfactant-to-adsorbent ratio of 1, achieving a maximum adsorption capacity of 285.7 mg/g. The kinetic data followed a pseudo-second-order model, whereas the adsorption isotherm …

Enhancing Independence And Social Connection: The Impact Of A Tailored Exercise Program On New Residents Transitioning Into Australian Residential Care Facilities, Stacey Scott, Annette Raynor, Julie Dare, Jennifer Grieve, Leesa Costello

Research outputs 2022 to 2026

Background: Transitioning from independent living to a residential care facility often results in a significant loss of independence, autonomy, and connectedness, leaving new residents with profound feelings of loss and grief. In light of these challenges, this study explored the potential benefits of a tailored in-house exercise program for new residents. Methods: The study took place in an Australian residential care facility and included four new residents (aged 72 to 88, 75% female), who participated in a 12-week tailored exercise program led by an exercise physiologist. A focused ethnographic approach was used to obtain a comprehensive data set, drawing on …

Experiences In Building Social Connectedness And Sense Of Belonging: Voices From African Migrants In Australia, Uchechukwu Levi Osuagwu, Kelechukwu Enyinnaya Ahaiwe, Obed Adonteng-Kissi, Anayochukwu Edward Anyasodor, Kerrie E. Doyle

Research outputs 2022 to 2026

Strategies to address social exclusion often involve promoting social connectedness and a sense of belonging. Drawing from existing literature on social inclusion, social connectedness, and belonging, including the use of primary data, this study explored the experiences of African migrants regarding their sense of connectedness and belonging in Australia. Semi-structured interviews were conducted online with 16 African migrants living in Australia. Using purposive sampling, participants were recruited through community groups across various towns and cities. Interviews were conducted via Teams and Zoom video calls, and subsequently transcribed manually for thematic analysis. Findings highlight the necessity for interventions targeting isolation and …

Infestation By Phorid Flies Disrupts Behavior And Immune Function In Honey Bees Monitored By Radio-Frequency Identification, Gloria Ruiz-Guzmán, Oliverio Delgado-Carrillo, Francisco J. Balvino-Olvera, María De Jesús Aguilar-Aguilar, Violeta Patiño-Conde, Paulo De Souza, Ulises Olivares-Pinto, Mauricio Quesada

Research outputs 2022 to 2026

Honey bees (Apis mellifera Linnaeus) are important pollinators in natural and agricultural ecosystems and play a key role in global food production. However, colonies are increasingly affected by multiple stressors, including emerging parasites, which can compromise their health and performance. Among these, phorid flies (Diptera: Phoridae) have been observed in association with weak or collapsing honey bee colonies in various regions in Mexico, yet their effects on honey bee behavior and immune function under field conditions remain poorly understood. In this study, we investigated the impact of a phorid fly infestation on the behavior, survival, and immune defense of A. …

Suicide Ideation Detection Using Social Media Data And Ensemble Machine Learning Model, Erol Kina, Jin Ghoo Choi, Abid Ishaq, Rahman Shafique, Monica Gracia Villar, Eduardo Silva Alvarado, Isabel De La Torre Diez, Imran Ashraf

Research outputs 2022 to 2026

Identifying the emotional state of individuals has useful applications, particularly to reduce the risk of suicide. Users’ thoughts on social media platforms can be used to find cues on the emotional state of individuals. Clinical approaches to suicide ideation detection primarily rely on evaluation by psychologists, medical experts, etc., which is time-consuming and requires medical expertise. Machine learning approaches have shown potential in automating suicide detection. In this regard, this study presents a soft voting ensemble model (SVEM) by leveraging random forest, logistic regression, and stochastic gradient descent classifiers using soft voting. In addition, for the robust training of SVEM, …

The Impact Of Testing-Parameter Variability On Force Production In The Isometric Single-Leg Long-Lever Bridge: Implications For Training And Testing Rigor In Sporting Environments, Adam E. Sundh, Nicholas J. Ripley, A. J. Lamb, Conor J. Cantwell, Paul Comfort

Research outputs 2022 to 2026

Background: The aim of this study was to determine the impact of knee angle variability on force production outcomes during the single-leg isometric long-lever bridge, thus providing monitoring guidelines for testing rigor with direct implications for feasibility across a variety of high-performance sporting environments. Methods: Thirty men (age: 19.4 ± 1.3 years; height: 179.8 ± 6.3 cm; body mass: 80.4 ± 10.3 kg) and 14 women (age: 20.0 ± 1.3 years; height: 166.9 ± 7.2 cm; body mass: 64.4 ± 7.4 kg) all of whom were Division 3 athletes with no recent injury history volunteered to participate in the study. …

Green Waste Biochar And Plant Growth-Promoting Bacteria Enhance Tomato Growth Under Combined Nutrient Deficiency And Salinity Stress, Soumaya Tounsi-Hammami, Munawwar Ali Khan, Mahra Alqemzi, Salama Ali Almehairi, Aneesa Rasheed Anwar

All Works

This study characterized a green-waste-derived biochar from date palms and ghaf trees and investigated its potential as a soil amendment with halotolerant Bacillus spp. to improve tomato seedling quality under dual stress of salinity and nutrient deficiency. Biochar was produced through pyrolysis at 450 °C and then characterized for yield, pH, electrical conductivity, proximate analysis, surface morphology, energy-dispersive X-ray spectroscopy, and heavy-metal content. Its effectiveness was tested both alone and in combination with a Bacillus sp. mix, using a completely randomized design with varying NPK fertilizer levels and saline irrigation. Tomato seedlings were evaluated 45 days after planting for various …

A Deep Learning Ensemble Framework For Multi-Subtype Renal Tumor Classification Using Contrast-Enhanced Ct, Hisham Abdeltawab, Ahmed Alksas, Mohamed Ghazal, Ashraf Khalil, Norah Saleh Alghamdi, Rasha T. Abouelkheir, Ahmed Elmahdy, Mohamed Abou El-Ghar, Sohail Contractor, Ayman El–Baz

All Works

Renal cell carcinoma (RCC) is considered the most aggressive and common form of renal cancer. Therefore, early detection is crucial to ensure appropriate and effective treatment planning. In our study, we propose a novel computer-aided diagnostic (CAD) approach which incorporates a deep learning ensemble to differentiate between five renal tumor subtypes, utilising the modality of contrast-enhanced computed tomography (CE-CT). The addressed renal lesions are malignant tumors (chromophobe RCC (chRCC), papillary RCC (pRCC), and clear cell RCC (ccRCC)) and benign tumors (renal oncocytoma (RO) and angiomyolipoma (AML)). Our study includes 280 patients who underwent renal biopsy, 112 patients were diagnosed with …

Integrating Machine Learning And Explainable Ai For Employee Attrition Prediction In Hr Analytics, Maytha Al-Ali, Majed Alwateer, Shatha Abed Alsaedi, Hossam Magdy Balaha, Mahmoud Badawy, Mostafa A. Elhosseini

All Works

Employee attrition poses significant challenges to organizations, impacting productivity, morale, and financial stability. Predicting attrition and understanding its underlying drivers are critical for implementing effective retention strategies. In this study, we propose a comprehensive framework that utilizes advanced machine learning techniques to predict employee attrition and job change likelihood. The framework integrates robust preprocessing pipelines, state-of-the-art predictive models, and explainability tools such as SHAP (SHapley Additive exPlanations) to ensure transparency and fairness in HR analytics. By addressing key challenges such as class imbalance, feature selection, and model interpretability, our approach provides actionable insights for proactive talent management. We evaluate the …

Radio Frequency Tagging–Enabled Patient Monitoring: Integrating Mobility Tracking With Early Warning Systems For Enhanced Safety, Ahed Abugabah, Prashant Kumar Shukla, Piyush Kumar Shukla, Abhishek Dwivedi

All Works

Ensuring patient safety in healthcare environments requires continuous monitoring systems capable of identifying early warning signs of clinical risk. Traditional surveillance methods often fail to capture meaningful patterns in patient movement, limiting their ability to prevent incidents such as falls, prolonged immobility, or unnoticed health deterioration. Radio Frequency Tagging technology has been increasingly adopted for real-time patient tracking; however, existing systems are generally limited to location detection and lack predictive insights into patient behaviour. To overcome these limitations, this study presents a Radio Frequency Tagging-based patient monitoring framework that integrates mobility tracking with an early warning mechanism to enable proactive …

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 …

Towards Promoting Innovation In Inclusive Education: Behavioural Intention Of Teachers Towards Adopting Ai To Teach Students With Learning Disabilities In The Uae, Fatima Zraydi, Maxwell Peprah Opoku, Bernadette M. Guirguis, Laurent Gabriel Ndijuye, Ebenezer Mensah Gyimah

All Works

The integration of artificial intelligence (AI) in education offers significant potential for identifying and supporting all students, including those with learning difficulties. Although discussions on the potential of AI to advance the learning of students are ongoing, AI usage among teachers to leverage it in the teaching of students with learning disabilities in nonwestern contexts, such as the United Arab Emirates, is unresearched. The study was guided by a unified theory of acceptance and use of technology to examine teachers’ intentions toward adopting AI tools to enhance educational outcomes for students with learning disabilities in the UAE. Using a quantitative …

Image And Metadata-Driven Personality Inference For Career Recommendation: A Social Media-Based Ai Framework For Adolescents, Heba Ismail, Maryam Alhefeiti, Ashraf Khalil

All Works

This study presents a novel AI-based framework that leverages Instagram image and metadata analysis to infer Big Five personality traits and deliver personalized career recommendations for high school students in the UAE. Addressing the limitations of traditional recommender systems that rely on self-reported questionnaires or text, the proposed approach uses multimodal visual features—including profile metrics, HSV color patterns, semantic image labels, and texture analysis—to enable a non-intrusive, scalable personalization method. A pilot study involving data from 30 student accounts served as a proof of concept. Correlation analysis identified profile and HSV features as the most predictive, and four machine learning …

Evaluation Of A No-Code Ai Model For Detecting Periapical Radiolucencies: Impact Of Anatomical Region On Diagnostic Performance, Manal Hamdan, Kevin W. Yu, Marguerite Miller, Stephanie J. Sidow, Zaid Badr, Sergio E. Uribe

School of Dentistry Faculty Research and Publications

Background

To develop a no-code artificial intelligence (AI) model for the detection of apical radiolucent lesions and to assess how lesion location influences the model’s diagnostic performance.

Methods

312 periapical radiographs were retrospectively collected, each accompanied by a corresponding cone-beam computed tomography (CBCT) scan obtained within six months and a radiology report authored by board-certified oral and maxillofacial radiologists. These reports served as the reference standard, and all findings were cross-verified by the primary investigator through CBCT review. The dataset included 181 images with at least one apical radiolucent lesion and 131 lesion-free controls. Using the no-code AI platform LandingLens …

Acute Management Of Hydropneumothorax Secondary To Esophageal Perforation After Laparoscopic Fundoplication, Chenxi Shi, Yu Wei Chang, Leah Joyner

Student Publications

Background: Laparoscopic fundoplication is commonly performed for refractory gastroesophageal reflux disease and symptomatic hiatal hernia, but rare postoperative complications such as esophageal perforation may result in significant morbidity and mortality if not promptly recognized.

Case report: We present a case of esophageal perforation complicated by massive hydropneumothorax in a woman who presented to the emergency department with progressive chest pain, abdominal pain, and respiratory distress two weeks after hiatal hernia repair with Nissen fundoplication. Emergent tube thoracostomy performed in the emergency department drained a large volume of purulent fluid and resulted in immediate respiratory improvement. Computed tomography with oral contrast …

Gender Gap In Returns To Publications, Piotr Śpiewanowski, Ivan Stetsyuk, Oleksandr Talavera

All Works

Gender equity in science depends not only on who participates in research, but also on how their work is rewarded. We examine gender gaps in monetary returns to research productivity, pay, and credit attribution using a novel dataset linking salary and publication records for professors at U.S. public universities. While our main contribution shows that there is no robust evidence of a significant gender gap in monetary returns to publications, we uncover substantial heterogeneity across disciplines and authorship structures. Women in medical and health sciences experience a negative gap in returns of 10.7% relative to men for equivalent research output. …