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Temptation At The School Fence: A Qualitative Exploration Of The Impact Of External Food Outlets On The School Community, Sharonna Mossenson, Klug, Jacinta Francis, Siobhan Hickling, Lukar Thornton, Gina Trapp Dec 2026

Temptation At The School Fence: A Qualitative Exploration Of The Impact Of External Food Outlets On The School Community, Sharonna Mossenson, Klug, Jacinta Francis, Siobhan Hickling, Lukar Thornton, Gina Trapp

Research outputs 2022 to 2026

Retail food outlets are commonly located in close proximity to schools, providing students with opportunities to purchase and consume food enroute to or from school. These outlets are typically unhealthy and disproportionately clustered near schools, and this trend has been increasing over time. While quantitative studies have established associations between school food environments and adolescent dietary behaviours, little is known about how school personnel perceive and experience their impacts. This qualitative study explored perspectives of school personnel (n = 9) from a secondary school in Perth, Western Australia, located 150 m from two retail food precincts (areas with a high …

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Be Watchful Of “Perfect Mediocracy” In Tourism Research!, Songshan (Sam) Huang Dec 2026

Be Watchful Of “Perfect Mediocracy” In Tourism Research!, Songshan (Sam) Huang

Research outputs 2022 to 2026

No abstract provided.

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Body Mass Index, Prebiotic Supplementation During Pregnancy And Gestational Diabetes Mellitus Risk: An Effect Modification Analysis From A Randomised Controlled Trial, Rachelle A. Pretorius, Thomas R. Sullivan, Summer V.M. Walker, Johan Garssen, Jeffrey A. Keelan, Desiree Silva, Susan L. Prescott, Debra J. Palmer Dec 2026

Body Mass Index, Prebiotic Supplementation During Pregnancy And Gestational Diabetes Mellitus Risk: An Effect Modification Analysis From A Randomised Controlled Trial, Rachelle A. Pretorius, Thomas R. Sullivan, Summer V.M. Walker, Johan Garssen, Jeffrey A. Keelan, Desiree Silva, Susan L. Prescott, Debra J. Palmer

Research outputs 2022 to 2026

Background: Prebiotic dietary supplementation has been shown to improve glucose homeostasis in type 2 diabetes patients. The aim of this analysis was to determine whether pre-pregnancy body mass index (BMI) modifies the effect of prebiotic supplementation from mid-pregnancy on reducing the risk of gestational diabetes mellitus (GDM). Methods: In a double-blinded, randomised controlled trial, pregnant women < 21 gestational weeks were randomly assigned (1:1) to consume daily prebiotics (14.2 g galacto-oligosaccharides and fructo-oligosaccharides) or placebo (8.7 g maltodextrin) powder. An effect modification analysis was performed to assess the heterogeneity of the effect of prebiotic supplementation in relation to pre-pregnancy BMI on GDM diagnosis. Results: Between June 2016 and November 2021, 329 women were assigned to the prebiotic group (50.4%), and 323 (49.5%) were assigned to the placebo group. Overall, 288 of 652 women (44.2%) were classified as overweight/obese prior to pregnancy (BMI ≥ 25 kg/m2). The distribution was balanced, with 146/329 (44.4%) randomised to the prebiotics group and 142/323 (44.0%) in the placebo group. Pre-pregnancy BMI modified the effect of prebiotic supplementation, with the intervention reducing GDM rates in women with a BMI ≥ 25 kg/m2 …

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Bridg-Ics: Ai-Grounded Knowledge Graphs For Intelligent Threat Analytics In Industry 5.0 Cyber-Physical Systems, Padmeswari Nandiya, Ahmad Mohsin, Ahmed Ibrahim, Iqbal H. Sarker, Helge Janicke Dec 2026

Bridg-Ics: Ai-Grounded Knowledge Graphs For Intelligent Threat Analytics In Industry 5.0 Cyber-Physical Systems, Padmeswari Nandiya, Ahmad Mohsin, Ahmed Ibrahim, Iqbal H. Sarker, Helge Janicke

Research outputs 2022 to 2026

Industry 5.0’s increasing integration of IT and OT systems is transforming industrial operations but also expanding the cyber–physical attack surface. Industrial Control Systems (ICS) face escalating security challenges as traditional siloed defenses fail to provide coherent, cross-domain threat insights. We present BRIDG-ICS (BRIDge for Industrial Control Systems), an AI-enriched Knowledge Graph (KG) framework for context-aware threat analysis and quantitative assessment of cyber resilience in smart manufacturing environments. BRIDG-ICS fuses heterogeneous industrial and cybersecurity data into an integrated Industrial Security Knowledge Graph linking assets, vulnerabilities, and adversarial behaviors with probabilistic risk metrics (e.g., exploit likelihood, attack cost). This unified graph representation …

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Dataset For Integrity Attacks On Time Synchronized Synchrophasor Data, Taylah Griffiths, Mohiuddin Ahmed, Chadni Islam Dec 2026

Dataset For Integrity Attacks On Time Synchronized Synchrophasor Data, Taylah Griffiths, Mohiuddin Ahmed, Chadni Islam

Research outputs 2022 to 2026

Phasor measurement units, also known as synchrophasors, are a vital component within smart grids to determine the stability of the grid. These devices send synchrophasor data to phasor data concentrators that collate and analyse the data. Recently, synchrophasor communication data has become beneficial for the research community. However, datasets covering cyberattacks on synchrophasor data are not public. Having access to this data would aid in investigating mitigations against cyberattacks. This paper describes a public specialized dataset, known as ECU-PMU-FDI/TSA. The dataset contains synchrophasor communication data for cybersecurity mitigation testing. Three hours of communication data was captured, from a simulated testbed. …

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Progression Of Non-Radiographic To Radiographic Axial Spondyloarthritis: A Risk Model Based On A Chinese Cohort Study, Rui Ying Deng, Xiaojia Xu, Jian Hua Peng, Feng Cai Shen, Yao Gong, Dan Min Wang, Hong Jin Liang, Shu Xin Huang, Zhao Peng Chen, Wen Long Wu, Ze Xin Zheng, Ling Lin, Zhi Duo Hou Dec 2026

Progression Of Non-Radiographic To Radiographic Axial Spondyloarthritis: A Risk Model Based On A Chinese Cohort Study, Rui Ying Deng, Xiaojia Xu, Jian Hua Peng, Feng Cai Shen, Yao Gong, Dan Min Wang, Hong Jin Liang, Shu Xin Huang, Zhao Peng Chen, Wen Long Wu, Ze Xin Zheng, Ling Lin, Zhi Duo Hou

Research outputs 2022 to 2026

Objectives: To evaluate the progression from non-radiographic axial spondyloarthritis (nr-axSpA) to radiographic axial spondyloarthritis (r-axSpA) in a Chinese cohort, identify associated risk factors in both clinical and imaging arms, and enable risk stratification based on these factors. Methods: Overall, 572 patients with nr-axSpA were enrolled with a median follow-up of 5 years. Cox proportional hazard regression analyses were conducted to identify potential risk factors associated with the progression from nr-axSpA to r-axSpA in both clinical and imaging arms. A risk-scoring system was then developed by assigning each independent predictor a weight based on its regression coefficient. Patients were subsequently categorized …

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Co-Design And Feasibility Testing Of A Midwife-Led Birth Debrief: An Implementation Science Project, Kate Buchanan, Phoebe Backhouse, Leanne Graham, Amy O’Meagher, Sara Bayes Dec 2026

Co-Design And Feasibility Testing Of A Midwife-Led Birth Debrief: An Implementation Science Project, Kate Buchanan, Phoebe Backhouse, Leanne Graham, Amy O’Meagher, Sara Bayes

Research outputs 2022 to 2026

Background: The period spanning pregnancy, birth and postpartum is characterised by psychosocial as well as physiological changes: many women experience new or worsening mental ill-health during the perinatal period. Midwives play a critical role in supporting and promoting psychosocial health by providing mental health education, counselling and screening. Often this includes a post-birth conversation, guided reflection, or debrief. Information about the effectiveness and experiences of specific and structured midwife-led birth debrief is scant. Aim: Our study aimed to assess the perceived effectiveness, experiences and implementability of a midwife-led birth debriefing intervention in one Australian maternity unit. Methods: A Type II …

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Thermophysical Characteristics Evaluation Of Carbon And Metal Oxide-Based Hybrid Phase Change Materials For Thermal Energy Storage Applications, Utpol K. Paul, Md Shahriar Mohtasim, Md Golam Kibria, Barun K. Das Dec 2026

Thermophysical Characteristics Evaluation Of Carbon And Metal Oxide-Based Hybrid Phase Change Materials For Thermal Energy Storage Applications, Utpol K. Paul, Md Shahriar Mohtasim, Md Golam Kibria, Barun K. Das

Research outputs 2022 to 2026

Phase change materials (PCM) have limited practical applications due to their low heat conductivity. The main goal of this work is to improve the thermophysical properties of PCM by adding different compositions of hybrid carbon and metal oxide-based nanoparticles for incorporation into hybrid photovoltaic/thermal solar systems to accommodate the built environment and thermal energy storage as a building envelope for thermal comfort. Three types of nanoparticles have been selected including Graphene, Al2O3, and ZnO and synthesized samples with the combinations of 0.5 wt% Al2O3 + 2 wt% ZnO, 0.75 wt% Al2O3 + 2 wt% ZnO, 1 wt% Al2O3 + 2 …

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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 Dec 2026

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 …

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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 Dec 2026

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 …

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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 Dec 2026

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 …

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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 Dec 2026

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 …

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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 Dec 2026

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 …

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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 Dec 2026

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 …

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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 Dec 2026

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 …

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Primary Breast Sarcoma In Pediatric, Adolescent, And Young Adult Patients: A Single-Institution Retrospective Review, Amelie D. Perrier Dec 2026

Primary Breast Sarcoma In Pediatric, Adolescent, And Young Adult Patients: A Single-Institution Retrospective Review, Amelie D. Perrier

Summer Research Program Abstracts

No abstract provided.

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The Effects Of Eps Level And Presentation Format Of Analysts’ Forecast Deviation On Non-Professional Investors’ Investment Judgments, Clarence Goh, Prasart Jongjaroenkamol, Poh-Sun Seow Dec 2026

The Effects Of Eps Level And Presentation Format Of Analysts’ Forecast Deviation On Non-Professional Investors’ Investment Judgments, Clarence Goh, Prasart Jongjaroenkamol, Poh-Sun Seow

Research Collection School Of Accountancy

We experimentally investigate how the presentation format of the extent to which a firm's earnings per share (EPS) diverges from analysts' EPS forecasts (i.e. deviation information) and a firm's EPS level affect the investment judgments of non-professional investors (referred to hereafter as “investors”). Our results suggest that investors' investment judgments are more positive when firms with low (high) EPS levels disclose deviation information in percentage (absolute) terms. Furthermore, when the percentage of forecast deviation is held constant, investment judgments are more positive when EPS levels are high versus low if the deviation information is expressed in absolute terms. By contrast, …

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Evaluating The Pulse Of Exercise Programs: Developing And Validating The Intervention Usability Scale For Exercise (Iuse) To Enhance Implementation And Adherence, Anne Inger Mørtvedt, Eva Ageberg, Steven Elmer, Kevin Trewartha, Erich Petushek Dec 2026

Evaluating The Pulse Of Exercise Programs: Developing And Validating The Intervention Usability Scale For Exercise (Iuse) To Enhance Implementation And Adherence, Anne Inger Mørtvedt, Eva Ageberg, Steven Elmer, Kevin Trewartha, Erich Petushek

Michigan Tech Publications

Background: Adherence to exercise interventions is often suboptimal, despite numerous studies documenting barriers and facilitators. Usability may be a critical yet underexplored determinant of adherence. This study aimed to develop and assess the psychometric properties of the Intervention Usability Scale for Exercise (IUSE). Methods: Item generation and content validation involved cognitive interviews and feedback from eight exercise intervention stakeholders and ten target users from the general public. Subsequently, 526 target users from University, Qualtrics and Prolific participant panels assessed exercise programs through an online survey. Dimensionality was assessed using Principal Component Analysis (PCA), Exploratory Factor Analysis (EFA), and bifactor models. …

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Mtorc2-Nav1.2 Signaling Drives Early Hyperexcitability In Alzheimer’S Disease Mouse Model, Nolan M Dvorak, Jeffrey L Noebels Dec 2026

Mtorc2-Nav1.2 Signaling Drives Early Hyperexcitability In Alzheimer’S Disease Mouse Model, Nolan M Dvorak, Jeffrey L Noebels

Faculty, Staff and Students Publications

Hyperexcitability is a biomarker of early-stage Alzheimer’s Disease (AD) and hastens cognitive decline later in its course. Mechanistic target of rapamycin (mTOR) signaling contributes to the slope of this trajectory, as evidenced by early increased brain expression and the rescue of hyperexcitability by genetic deletion of mTOR complex 2 (mTORC2); however, a molecular mechanism directly linking mTOR signaling to membrane hyperexcitability in early-stage AD remains elusive. Here, we show that hyperactive mTOR signaling stimulates the voltage-gated Na+ channel 1.2 (Nav1.2), a previously identified downstream phosphorylation target of mTORC2 and a key regulator of membrane electrogenesis. Augmented Nav1.2 channel function induced …

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Long-Term Analysis Of Pm2.5 Elemental Composition And Source Contributions In Coastal Urban Environments Of Corpus Christi And Houston In Texas, Sai Deepak Pinakana, Jeremy A. Sarnat, Amit U. Raysoni Dec 2026

Long-Term Analysis Of Pm2.5 Elemental Composition And Source Contributions In Coastal Urban Environments Of Corpus Christi And Houston In Texas, Sai Deepak Pinakana, Jeremy A. Sarnat, Amit U. Raysoni

School of Earth, Environmental, & Marine Sciences Faculty Publications

Long-term assessments of fine particulate matter play a key role in identifying persistent and emerging emission contributors. Coastal urban areas are highly susceptible to transboundary dust and wildfire events in addition to local pollution sources. Multi-decadal assessments in these regions using chemical speciation data could offer insights into major pollutant sources and their trends. This study utilizes nearly two decades of PM2.5 elemental composition data at two major coastal cities in Texas: Houston and Corpus Christi. Fourteen trace elements were analyzed to characterize the seasonal variability and long-term source evolution using a combination of Spearman’s correlation analysis, principal component analysis, …

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Impact Of School Nurse Education On Factors Influencing Hpv Vaccine Communication With Parents, Jihye Choi, Efrat K Gabay, Jeanette Deason, Elizabeth Baumler, Diane Santa Maria, Daisy Mullassery, Lara S Savas, Erika Thompson, Sanghamitra M Misra, Paula M Cuccaro Dec 2026

Impact Of School Nurse Education On Factors Influencing Hpv Vaccine Communication With Parents, Jihye Choi, Efrat K Gabay, Jeanette Deason, Elizabeth Baumler, Diane Santa Maria, Daisy Mullassery, Lara S Savas, Erika Thompson, Sanghamitra M Misra, Paula M Cuccaro

Faculty, Staff and Student Publications

Human papillomavirus (HPV) can cause six cancer types but can be prevented with timely vaccination in early adolescence. However, despite the wide availability of the HPV vaccine, uptake remains suboptimal among US adolescents. School nurses are invaluable resources to students and their families regarding adolescent immunization needs. As part of the All for Them vaccination program, we assessed the impact of the continued nurse education (CNE) intervention on school nurses’ HPV vaccine communication with parents. Seventy-two school nurses and nurse administrators in Texas participated in the study. Using a single-arm study design, we measured participants’ potential barriers to and self-efficacy …

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Artificial Intelligence (Ai) For Social Innovation In Health Education: Promoting Health Literacy Through Personalized Ai-Driven Learning Tools – A Systematic Review, Dina Mansour Tbaishat, Maha Waleed Elfadel Dec 2026

Artificial Intelligence (Ai) For Social Innovation In Health Education: Promoting Health Literacy Through Personalized Ai-Driven Learning Tools – A Systematic Review, Dina Mansour Tbaishat, Maha Waleed Elfadel

All Works

Background: Artificial Intelligence (AI) is transforming health education by enabling personalized, adaptive, and scalable approaches that may enhance aspects of health literacy. Despite rapid adoption, comprehensive synthesis of AI tools’ impact on health literacy as social innovation is limited. Understanding these effects guides educators, developers, and policymakers in designing potentially effective, inclusive, and ethical AI interventions. This review examines generative AI models, chatbots, and adaptive learning systems in supporting health literacy globally. Methods: A systematic review was conducted following PRISMA guidelines. Literature was identified primarily through PubMed/Medline, Scopus, and ScienceDirect. Connectedpapers.com was used exclusively as a citation chasing tool, performing …

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A Performance-Optimized V2v Task Offloading Framework For Real-Time Vehicular Communication, Tariq Qayyum, Asadullah Tariq, Ikbal Taleb, Mohamed Adel Serhani, Zouheir Trabelsi Dec 2026

A Performance-Optimized V2v Task Offloading Framework For Real-Time Vehicular Communication, Tariq Qayyum, Asadullah Tariq, Ikbal Taleb, Mohamed Adel Serhani, Zouheir Trabelsi

All Works

As vehicular applications become increasingly complex, their computational demands often exceed the capabilities of individual vehicles. Vehicular Edge Computing (VEC) alleviates this limitation by enabling task delegation to nearby edge resources; however, high mobility, dynamic topology, and fluctuating vehicle density make real-time offloading decisions challenging. To address these issues, we propose a performance-optimized Vehicle-to-Vehicle (V2V) task offloading framework for dense and dynamic Vehicular Ad-hoc Networks (VANETs). The framework follows a two-stage design: (i) context-aware edge-node selection based on live topology capture via periodic beaconing, and (ii) cumulative score-based dynamic priority queuing at the selected edge node. The priority score jointly …

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An Advanced Healthcare System With An Automated Vit Model For Dermoscopic Skin Cancer Identification, Ahed Abugabah, Prashant Kumar Shukla, Suchi Mishra, Abhishek Dwivedi Dec 2026

An Advanced Healthcare System With An Automated Vit Model For Dermoscopic Skin Cancer Identification, Ahed Abugabah, Prashant Kumar Shukla, Suchi Mishra, Abhishek Dwivedi

All Works

Early and reliable diagnosis of skin cancer from dermoscopic images remains challenging due to class imbalance, subtle inter-class variations, lesion boundary ambiguity, and illumination inconsistency, which can degrade the robustness of conventional convolutional neural networks (CNNs). To address these limitations, this study proposes an automated smart healthcare framework for dermoscopic skin cancer diagnosis using an Enhanced Vision Transformer (E-ViT) that improves global-context modeling through self-attention while strengthening fine-grained lesion representation learning. Unlike standard ViT configurations, the proposed architecture integrates multi-scale patch embedding and attention refinement to better capture border irregularities and color–texture heterogeneity that are critical for melanoma discrimination. Furthermore, …

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Fig-Gan: Fundus Image Generation Via Deep Learning Based Generative Adversarial Network For Amd Disease Diagnosis, Kailasa Thrishul, Ahed Abugabah, Amina Salhi, Manel Ayadi, Mohamed M. Sithik, D. Jayaprakash, A. Ahilan Dec 2026

Fig-Gan: Fundus Image Generation Via Deep Learning Based Generative Adversarial Network For Amd Disease Diagnosis, Kailasa Thrishul, Ahed Abugabah, Amina Salhi, Manel Ayadi, Mohamed M. Sithik, D. Jayaprakash, A. Ahilan

All Works

Globally, age-related macular degeneration (AMD) remains a main cause of irreversible vision loss. Recently, deep learning models have primarily focused on classifying fundus images for early detection of AMD progression. However, existing models rarely address the generation of future progression-aware fundus images, particularly when complete real longitudinal follow-up scans are unavailable. This limitation makes it difficult to track retinal changes over time and highlights the need for generative models capable of producing realistic drusen-level structural variations. To address these issues, a novel deep learning-based FIG-GAN model is to generate synthetic future fundus images from baseline inputs. Multi-Attention U-Net (MAU-Net) is …

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The Role Of Corporate Sustainability Goals In Shaping Organizational Intentions And Adoption Of Green Technologies In Small- And Medium-Sized Enterprises, Syed Zamberi Ahmad, Abdul Rahim Abu Bakar, Imane Belyamani, Manar Fawzi Bani Mfarrej Dec 2026

The Role Of Corporate Sustainability Goals In Shaping Organizational Intentions And Adoption Of Green Technologies In Small- And Medium-Sized Enterprises, Syed Zamberi Ahmad, Abdul Rahim Abu Bakar, Imane Belyamani, Manar Fawzi Bani Mfarrej

All Works

This study investigates green technology adoption (GTA) among small and medium-sized enterprises (SMEs) in the United Arab Emirates (UAE), focusing on the influence of corporate sustainability goals (CSG) and sustainability motivation (SM). Utilizing institutional theory, the theory of planned behavior (TPB), and resource-based view (RBV), the research highlights how SMEs integrate environmental, social, governance (ESG) and economic considerations into their CSG to enhance GTA. Addressing a gap in prior research that has largely emphasized external drivers of adoption while underexploring internal organizational mechanisms, the study conceptualizes CSG as strategic intent and models SM as a second-order construct . Based on …

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The Impact Of Generative Ai Training On Teachers’ Curriculum Adaptation Using Reflective Practices, Areej Elsayary Dec 2026

The Impact Of Generative Ai Training On Teachers’ Curriculum Adaptation Using Reflective Practices, Areej Elsayary

All Works

Generative AI tools offer teachers opportunities to adapt curricula to meet diverse student needs. However, many educators lack the structured training and reflective frameworks necessary for effective and critical use of these tools. Numerous studies have examined the appropriate use of generative AI (GenAI) tools in facilitating differentiation, feedback, and personalized learning. However, teachers need to be trained on the “what” and “how” of integrating GenAI into curriculum adaptation to ensure a positive impact on student learning. This study evaluates the impact of training in-service teachers to use GenAI tools for curriculum adaptation. Specifically, the study investigates three research questions: …

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Reimagining Sustainable Sulfur Concrete: A Systematic Review Of Sulfur, Waste Integration, And Durability, Vasilia Al Khaldi, Abdel Hamid I. Mourad, Maisa Elgamal Dec 2026

Reimagining Sustainable Sulfur Concrete: A Systematic Review Of Sulfur, Waste Integration, And Durability, Vasilia Al Khaldi, Abdel Hamid I. Mourad, Maisa Elgamal

All Works

Sulfur concrete (SC) - a thermoplastic, waterless composite in which molten sulfur-based binder replaces Portland cement - is attracting growing research attention as a sustainable construction alternative capable of superior performance in chemically aggressive environments. This systematic literature review synthesises evidence from 127 sources (2000–2025), examining three interlinked dimensions: (i) the role of waste and industrial by-product materials as aggregate and filler substitutes; (ii) the influence of aggregate type, morphology, and grading on mechanical and microstructural performance; and (iii) durability under acid, saline, and freeze-thaw exposures. A transparent, PRISMA-aligned screening and classification protocol - here used as a structured review …

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A Critical Review Of Pharmaceutical Pollutants In Soil And Air: Ecotoxicological Impacts On Animal, Plant And Microbial Communities - Health Hazards And Waste Management, Md Faisal Amin, Md. Saydur Rahman Dec 2026

A Critical Review Of Pharmaceutical Pollutants In Soil And Air: Ecotoxicological Impacts On Animal, Plant And Microbial Communities - Health Hazards And Waste Management, Md Faisal Amin, Md. Saydur Rahman

School of Integrative Biological & Chemical Sciences Faculty Publications

Pharmaceutical contamination in soil and air has become a critical environmental concern due to its widespread sources, complex behavior, and long-lasting ecological impacts. This review comprehensively explores the presence, fate, and effects of pharmaceutical compounds in soil, highlighting their entry routes, environmental persistence, and biological consequences. Pharmaceuticals infiltrate terrestrial and aquatic environments through various pathways, including agricultural application, pharmaceutical manufacturing waste, sewage sludge, hospital and household discharges, irrigation with contaminated water, and atmospheric deposition. A wide range of drug classes, such as antibiotics, analgesics, non-steroidal anti-inflammatory drugs, antidepressants, anticancer drugs, and hormones, have been identified in both soil and air …

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Bayesian Linear, Heteroskedastic, Multilevel, And Dynamic Models For Assessing The Effects Of Policy Uncertainty, Green Finance, Innovation, And Environmental Stringency On Sustainable Economic Growth In Oecd Economies, Md Qamruzzaman, Abdulrahman Alomair, Abdulaziz S. Al Naim, Sylvia Kor Dec 2026

Bayesian Linear, Heteroskedastic, Multilevel, And Dynamic Models For Assessing The Effects Of Policy Uncertainty, Green Finance, Innovation, And Environmental Stringency On Sustainable Economic Growth In Oecd Economies, Md Qamruzzaman, Abdulrahman Alomair, Abdulaziz S. Al Naim, Sylvia Kor

Student Publications [Scholarly]

This study analyzes how policy uncertainty, green finance, green innovation, and the stringency of environmental policy affect sustainable economic growth in OECD member countries from 1996 to 2023. Given the growing evidence that advanced economies are facing structural lock-ins, a lack of coherent policy credibility, and insufficient financial and innovative capabilities, the current study integrates these factors into a coherent empirical framework that continues to prevent disintegration in the current literature. Using environmentally adjusted multifactor productivity as a proxy for green economic growth, the analysis employs a panel of Bayesian econometric models that include linear, heteroskedastic, multilevel, random-effects, and panel …

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