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Articles 62461 - 62490 of 64699
Full-Text Articles in Entire DC Network
Inked Mobilities: Tattoos As Embodied Visual Narratives Of Youth Migration Between Italy And Australia, Giulia Marchetti
Inked Mobilities: Tattoos As Embodied Visual Narratives Of Youth Migration Between Italy And Australia, Giulia Marchetti
Research outputs 2022 to 2026
This article examines tattoos as embodied visual narratives within a broader study on youth transnational mobility (2019-2023). Focusing on recent Italian migration to and from Australia, 13 tattoos were documented among the 36 participants, acquired shortly before departure, during the stay in Australia, or upon return to Italy. Methodologically, the article proposes tattoo-based interviews as a participatory visual method that mobilises permanently inscribed images as sites of visual elicitation, enabling forms of reflection and storytelling. Tattoos thus operate as relational spaces of dialogue, co-interpretation, and reflexive meaning-making between researcher and participants. Epistemologically, tattoos are approached as visual narratives through which …
Optimizing The Size And Siting Of Distributed Generation In Unbalanced Distribution Systems With Multi-Objective Reptile Search Algorithm, Pema Dorji, Chimi Pelden Dorji, Stefan Lachowicz, Octavian Bass
Optimizing The Size And Siting Of Distributed Generation In Unbalanced Distribution Systems With Multi-Objective Reptile Search Algorithm, Pema Dorji, Chimi Pelden Dorji, Stefan Lachowicz, Octavian Bass
Research outputs 2022 to 2026
This paper presents the Multi-Objective Reptile Search algorithm for identifying ideal rating and location of distributed generation in unbalanced grids, focusing on minimizing power losses, total costs, and carbon emissions. The proposed methodology integrates DIgSILENT PowerFactory and Python platforms to evaluate unbalanced IEEE distribution feeders under varying power factor conditions. The results demonstrate that optimal DG configurations involve strategically positioning multiple units to enable both active and reactive power injection, significantly improving overall system performance across multiple objectives and voltage deviation index. The analysis identifies an optimal PF range between 0.75 and 0.89, with unity power factor operations yielding suboptimal …
Precarity On The Move: The Relative Economic Precarity Of Mobile Youth Moving To Australia, Lara Mckenzie, Anita Harris, Loretta Baldassar
Precarity On The Move: The Relative Economic Precarity Of Mobile Youth Moving To Australia, Lara Mckenzie, Anita Harris, Loretta Baldassar
Research outputs 2022 to 2026
Analyses of precarity often focus on how insecure employment, careers, finances, and geographies influence people’s lives for the worse, with young people understood as especially precarious in their economic stability and transitions to adulthood. This article analyses accounts of precarity amongst middling transnationally mobile youth, drawing from 24 semi-structured interviews incoming to Australia, and longitudinal survey data. We show that experiences of economic precarity are impacted by their access to work, government support, ability to access or sustain visas, and access to support from family and partners. By drawing on migration scholars’ observations that transnational mobility can be privileged and …
The Basis For Recommending The Selection Of Samplers In Determining Occupational Exposures To Aerosols, Martin Harper, Pieter Bertier, Marcus Cattani, Karen Galea, Darrah Sleeth, Steven Verpaele
The Basis For Recommending The Selection Of Samplers In Determining Occupational Exposures To Aerosols, Martin Harper, Pieter Bertier, Marcus Cattani, Karen Galea, Darrah Sleeth, Steven Verpaele
Research outputs 2022 to 2026
Measurements are considered to be the basis of exposure assessments used to determine risks to workers. Inhalation exposure poses the greatest risk for most airborne chemicals, and measurements are based on collecting (sampling) and analyzing air samples. Samplers have been developed for more than 120 years. Each new design has been intended to address flaws perceived in earlier designs. Users are faced with a varied array of samplers from which to choose. Comparisons are difficult to make because tests of sampler performance were not standardized until recently and have not been applied consistently. The existing large body of work does …
Baseline Body Mass Index Category And Incident Treated Hypertension In Australian Men: A Linked Prospective Cohort Study Using Pbs/Mbs Data, Ebenezer Afrifa-Yamoah
Baseline Body Mass Index Category And Incident Treated Hypertension In Australian Men: A Linked Prospective Cohort Study Using Pbs/Mbs Data, Ebenezer Afrifa-Yamoah
Research outputs 2022 to 2026
Background: Excess adiposity is a major modifiable risk factor for hypertension; however, the incremental prognostic value of body mass index (BMI) beyond standard predictors remains unclear. We examined the associations between baseline BMI category and incident treated hypertension, and assessed whether BMI improved risk prediction.
Methods: Data were obtained from the Ten to Men longitudinal study (2013–2024) linked to Pharmaceutical Benefits Scheme (PBS) and Medicare Benefits Schedule (MBS) records. The cohort comprised 12,742 men aged ≥ 18 years without treated hypertension at baseline, followed for 133,038 person-years. Adjusted Cox proportional hazards models were fitted. Discrimination, calibration, decision curve analysis, E-values, …
Inside Out: Improving Large Model Safety, Wei Zhao
Inside Out: Improving Large Model Safety, Wei Zhao
Dissertations and Theses Collection (Open Access)
While Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) are at the frontier of current advancements in artificial intelligence, demonstrating remarkable capabilities across diverse applications, there are growing concerns about their reliability and security. LLMs remain vulnerable to adversarial attacks through carefully crafted prompts that circumvent safety mechanisms, while MLLMs face additional security challenges stemming from their multimodal nature. Despite considerable efforts in reinforcement learning from human feedback (RLHF) and supervised fine-tuning, existing safeguards have proven inadequate in addressing these critical vulnerabilities. This inadequacy stems from the fact that these models are inherently blackboxes that do not provide …
The Impact Of Corporate Mergers And Acquisitions On Performance From The Perspective Of Growth Pressure, Jiandong Wang
The Impact Of Corporate Mergers And Acquisitions On Performance From The Perspective Of Growth Pressure, Jiandong Wang
Dissertations and Theses Collection (Open Access)
Against the backdrop of economic volatility and intensified industry competition, firms generally face multidimensional growth pressures, including historical growth pressure, social growth pressure, and market competition pressure. Growth pressure is not only related to firms’ operational stability, but also profoundly influences their strategic choices, particularly merger and acquisition (M&A) behaviour.Grounded in performance feedback theory, this study constructs an integrated analytical framework encompassing growth pressure, M&A strategic decisions, and M&A performance, and systematically examines how different types of growth pressure affect firms’ M&A decisions, as well as how M&A performance varies across different firm characteristics and different types of M&A.
The …
Christianity As Coping Mechanisms For Migrants With Mental Health Challenges In Australia: Social Work Implications, Obed Adonteng-Kissi, Nnaemeka Meribe, Kathomi Gatwiri, Lillian Mwanri, Agness Tembo, Frank Darkwa Baffour, Edith N. Botchway-Commey, Aunty Kerrie Doyle, David Chisanga, Ahmed A. Moustafa, Uchechukwu Levi Osuagwu
Christianity As Coping Mechanisms For Migrants With Mental Health Challenges In Australia: Social Work Implications, Obed Adonteng-Kissi, Nnaemeka Meribe, Kathomi Gatwiri, Lillian Mwanri, Agness Tembo, Frank Darkwa Baffour, Edith N. Botchway-Commey, Aunty Kerrie Doyle, David Chisanga, Ahmed A. Moustafa, Uchechukwu Levi Osuagwu
Research outputs 2022 to 2026
Christian religion may be a powerful resource that can serve as a coping mechanism to resolve challenges and provide comfort to African migrants confronted with mental health challenges. We aimed to explore the coping strategies among African migrants in Australia. We undertook semi-structured interviews online with 11 participants with African backgrounds, comprising six mental health clinicians and five migrant service users living in Australia for at least the past 12 months. Literature exploring religious coping mechanisms, social support and acculturation was drawn on. The interviews were undertaken online via Teams, WhatsApp call, and zoom with participants whom we recruited through …
Delirium In The Acute Care Setting From The Families Perspective: A Scoping Review, Amber Mclean, Beverley Ewens, Amanda Towell-Barnard
Delirium In The Acute Care Setting From The Families Perspective: A Scoping Review, Amber Mclean, Beverley Ewens, Amanda Towell-Barnard
Research outputs 2022 to 2026
Aim: To explore the existing literature on delirium within the acute care setting from the family members' perspective and summarise key findings. Design: A scoping review guided by Arksey and O'Malley's methodological framework and refined by the Joanna Briggs Institute. Review Methods: The Population, Concept, and Context framework recommended by the Joanna Briggs Institute's scoping review protocol identified the main concepts in the primary review question. The inclusion criteria focused on primary research studies from any chronological date that explored the family members' experience of delirium within the acute care setting. Following screening by two independent reviewers, data extraction was …
It Makes Me Feel Dysphoric: Transgender And Non-Binary Students’ Perspectives Of Gendered Grouping Practices And Curriculum Provision In Secondary School Physical Education In England, Shaun D. Wilkinson, Dawn Penney
It Makes Me Feel Dysphoric: Transgender And Non-Binary Students’ Perspectives Of Gendered Grouping Practices And Curriculum Provision In Secondary School Physical Education In England, Shaun D. Wilkinson, Dawn Penney
Research outputs 2022 to 2026
This study foregrounds the voices of transgender (trans) and non-binary students in a large-scale mixed-methods investigation of gendered grouping practices and curriculum provision in secondary school physical education (PE) in England. Theoretically, the research brought together an interdisciplinary framework for educational inclusion and the trans inclusion staged model to pursue conceptualisations and expressions of inclusion that disrupt cisnormative policies and structures. A survey of 14 co-educational secondary schools generated data from 36 students who identified as trans (n = 18) or non-binary (n = 18). The findings revealed that most trans (n = 16) and all non-binary students expressed preferences …
Sexisms And Gender-Washing In Australian Academia: Public Front, Private Realities, Jacqueline Ullman, Emily Gray, Mindy Blaise, Lucy Hobby
Sexisms And Gender-Washing In Australian Academia: Public Front, Private Realities, Jacqueline Ullman, Emily Gray, Mindy Blaise, Lucy Hobby
Research outputs 2022 to 2026
This paper offers an analysis of selected survey findings from a mixed methods research project, entitled Understanding and Addressing Everyday Sexisms in Australian Universities. The project is situated within the context of the negative impact of gender-based discrimination upon the higher education sector in Australia and internationally. The findings discussed in this paper relate to quantitative analyses of selected items from a national survey of over 1200 Australian academics, recruited through 12 public universities. In this paper, the ways in which different participant groups responded to items designed to explore their attitudes towards sexism in the academic workplace, both broadly …
Examining The Factors Influencing Citizen Adoption Of E-Government Chatbot Services In Jordan: A Longitudinal Survey Study, Ibrahim Mohamad, Laurie Hughes, Ali Abdallah Alalwan, Tegwen Malik, Yogesh K. Dwivedi
Examining The Factors Influencing Citizen Adoption Of E-Government Chatbot Services In Jordan: A Longitudinal Survey Study, Ibrahim Mohamad, Laurie Hughes, Ali Abdallah Alalwan, Tegwen Malik, Yogesh K. Dwivedi
Research outputs 2022 to 2026
Many governments are focusing on adopting Artificial Intelligence (AI)-based chatbot technology to enhance work efficiency and improve e-government services. Jordan was among the first Middle Eastern countries to implement AI chatbots to offer various e-services to its citizens. While previous studies have examined the adoption of AI chatbots, they have not explored citizen adoption within the Jordanian context. This research investigates the key factors influencing citizen adoption of e-government chatbot services in Jordan by extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) theory with additional external variables. A longitudinal survey of 319 Jordanian citizens was conducted, …
Insulin Resistance As A Mediator Of Physical Activity's Effects On Beta-Amyloid Accumulation And Tau Phosphorylation: A Scoping Review, Michael G. Slee, Joanne Scotney, Stephanie R. Rainey-Smith, Kirk I. Erickson, Hamid R. Sohrabi, Giuseppe Verdile, Belinda M. Brown
Insulin Resistance As A Mediator Of Physical Activity's Effects On Beta-Amyloid Accumulation And Tau Phosphorylation: A Scoping Review, Michael G. Slee, Joanne Scotney, Stephanie R. Rainey-Smith, Kirk I. Erickson, Hamid R. Sohrabi, Giuseppe Verdile, Belinda M. Brown
Research outputs 2022 to 2026
Background Type 2 diabetes is associated with increased Alzheimer’s disease risk and brain beta amyloid (Aβ) burden, suggesting an underlying mechanistic relationship between Alzheimer’s disease and type 2 diabetes. Animal studies show exercise reduces levels of brain Aβ and tau, and while human studies are somewhat limited, some studies have reported physical activity is associated with lower brain Aβ and tau levels. Exercise has well established links to reductions in insulin resistance; thus, as physical activity can impact both insulin resistance and Alzheimer’s disease pathology and/or biomarkers, it is reasonable to hypothesise that a mediating relationship may exist. The objective …
Lack Of Increase In Mercury Contamination In Coastal Western Australia Since European Settlement, Martin Dahl, Larissa Schneider, Harald Biester, Richard Bindler, Antonio Martinez Cortizas, Paul S. Lavery, Miguel A. Mateo, Oscar Serrano
Lack Of Increase In Mercury Contamination In Coastal Western Australia Since European Settlement, Martin Dahl, Larissa Schneider, Harald Biester, Richard Bindler, Antonio Martinez Cortizas, Paul S. Lavery, Miguel A. Mateo, Oscar Serrano
Research outputs 2022 to 2026
Current knowledge of long-term mercury (Hg) deposition is predominantly based on studies from the Northern Hemisphere, leading to a geographical bias in the comprehension of the global Hg cycle. Aiming to contribute to fill this knowledge gap, our study presents a high-resolution Hg record of a seagrass Posidonia australis sedimentary archive encompassing the last 3300 years in the Waychinicup estuary (Western Australia, WA). This setting is an ideal site for studying the natural Hg cycle, as it is located in the southwest of the state, outside the prevailing wind patterns that transport emissions from major Hg sources. Our results show …
Plasma Aβ42/40 Predicts Progression From Aβ-Amyloid Negative To Positive Pet Scans, Azadeh Feizpour, Vincent Doré, Pierrick Bourgeat, James D. Doecke, Rodrigo Canovas, Simon M. Laws, Tenielle Porter, Kun Huang, Christopher Fowler, Ralph N. Martins, Paul Maruff, Hamid R. Sohrabi, Michael W. Weiner, John C. Morris, Tammie L.S. Benzinger, Suzanne E. Schindler, Randall J. Bateman, Yan Li, Ovod Vitaliy, Larry Ward, Jurgen Mejan-Fripp, Colin L. Masters, Victor L. Villemagne, Christopher C. Rowe
Plasma Aβ42/40 Predicts Progression From Aβ-Amyloid Negative To Positive Pet Scans, Azadeh Feizpour, Vincent Doré, Pierrick Bourgeat, James D. Doecke, Rodrigo Canovas, Simon M. Laws, Tenielle Porter, Kun Huang, Christopher Fowler, Ralph N. Martins, Paul Maruff, Hamid R. Sohrabi, Michael W. Weiner, John C. Morris, Tammie L.S. Benzinger, Suzanne E. Schindler, Randall J. Bateman, Yan Li, Ovod Vitaliy, Larry Ward, Jurgen Mejan-Fripp, Colin L. Masters, Victor L. Villemagne, Christopher C. Rowe
Research outputs 2022 to 2026
Background The agreement between plasma Aβ42/40 and Aβ positron emission tomography (PET) is approximately 75 %, with ∼85 % of discrepancies due to positive plasma but negative PET results. It is unclear whether this reflects Aβ changes in plasma before PET-detectable. Objectives To assess the influence of Aβ42/40 positivity on risk of progression to Aβ PET positivity, and feasibility of using plasma Aβ42/40 tests to enrich a primary prevention trial. Design A prospective longitudinal cohort study. Setting Participants of Australian Imaging, Biomarkers and Lifestyle study (AIBL), Alzheimer’s Disease Neuroimaging Initiative (ADNI), and Open Access Series of Imaging Studies 3 (OASIS3). …
Tourism Destination Mobile Applications: An Ai-Human Loop Analysis And Future Research Programme, Arghavan Hadinejad, Naser Pourazad, Lara Stocchi, Violetta Wilk
Tourism Destination Mobile Applications: An Ai-Human Loop Analysis And Future Research Programme, Arghavan Hadinejad, Naser Pourazad, Lara Stocchi, Violetta Wilk
Research outputs 2022 to 2026
Despite the rise in destination mobile applications (apps) and their significance in the tourism sector, there remains a notable dearth of critical assessments of knowledge on the topic, which is necessary to guide future academic and industry endeavours. To bridge the gap, this research conducts a systematic review to synthesise scholarly knowledge on tourism destination mobile apps. The analysis reveals topical clusters including prototyping and scoping, consolidation, and forecasting and further technological advancements between 2009 and 2023. The existing scholarship is predominantly quantitative and atheoretical, with the Technology Acceptance Model being the most frequently applied framework. The findings reveal four …
Ai-Enhanced Smart Sensors For Heavy Metal Detection In Water Treatment, Fatemeh Noorisafa, Amir Razmjou, Asghar Taheri-Kafrani, Fatemeh Ejeian, Mohsen Asadnia, Hamidreza Akbari Ghavamabadi
Ai-Enhanced Smart Sensors For Heavy Metal Detection In Water Treatment, Fatemeh Noorisafa, Amir Razmjou, Asghar Taheri-Kafrani, Fatemeh Ejeian, Mohsen Asadnia, Hamidreza Akbari Ghavamabadi
Research outputs 2022 to 2026
Artificial intelligence (AI) enhances biosensor design by efficiently processing and modeling environmental data. This study employs machine learning algorithms to optimize biosensor parameters for the detection of trace-level heavy metals in aquatic environments, utilizing enzymes, DNAzymes, and aptamers as recognition elements. Machine learning models, including decision trees, random forests, gradient boosting, ensemble neural networks, and GLMM,were trained on extensive laboratory datasets. Among these, the random forest model exhibited the highest predictive accuracy, achieving 71 % for the limit of detection (LOD), 75 % for the minimum concentration of linearity, and 62 % for the maximum concentration of linearity. The AI-driven …
The Effectiveness Of Virtual Reality Aggression And Violence De-Escalation Training For Nursing And Midwifery Students: A Quasi-Experimental Study, Joshua Johnson, Brennen Mills, Luke Hopper, Sara Hansen, Kelley Mumford, Renju Joseph, Susan Philip, Gina Kruger, Abdi D. Osman
The Effectiveness Of Virtual Reality Aggression And Violence De-Escalation Training For Nursing And Midwifery Students: A Quasi-Experimental Study, Joshua Johnson, Brennen Mills, Luke Hopper, Sara Hansen, Kelley Mumford, Renju Joseph, Susan Philip, Gina Kruger, Abdi D. Osman
Research outputs 2022 to 2026
Background: Nursing students experience substantial exposure to aggression and violence while attending clinical placement. De-escalation training can effectively prepare students for aggressive encounters, yet is resource-intensive to deliver. Immersive virtual reality (VR) may improve training accessibility for nursing students. Aim: To evaluate the effectiveness of a VR de-escalation training program to improve nursing students’ confidence in managing patient aggression and its perceived usability. Methods: This study utilized a single-group quasi-experimental pre-/post-test design. Undergraduate Australian nursing students (n = 221) completed a VR de-escalation training program, providing pre-/postintervention self-reported confidence in coping with patient aggression, system usability, and motion sickness data. …
Improving Evacuation Effectiveness On Cruise And Large Passenger Ships : An Analysis Of Human Factors, Safety Culture, And Behavioral Dynamics, Antonios Andreadakis
Improving Evacuation Effectiveness On Cruise And Large Passenger Ships : An Analysis Of Human Factors, Safety Culture, And Behavioral Dynamics, Antonios Andreadakis
World Maritime University Ph.D. Dissertations
Maritime trade has long constituted a central pillar of economic development, supporting global commerce and cultural exchange. Nevertheless, the maritime environment is inherently hazardous and therefore the protection of human life has consistently constituted and will continue to remain a central priority (Casson, 1995). An instrumental turning point in maritime safety occurred after the sinking of Titanic in 1912, which prompted in 1914 an International Conference dedicated to the protection of human life at sea; which ultimately led to the adoption of the International Convention on Safety of Life at Sea (SOLAS) (Dalaklis, 2017). This Convention introduced internationally imposed safety …
Physics-Constrained Generative Adversarial Networks For Dimensionality Reduction In Optimization, Samuel Sisk, Xiaosong Du
Physics-Constrained Generative Adversarial Networks For Dimensionality Reduction In Optimization, Samuel Sisk, Xiaosong Du
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Electric vertical takeoff and landing (eVTOL) aircraft make a unique form of urban air mobility due to their low noise, zero emission, and precision control. To maximize efficiency, high-fidelity simulation-based multidisciplinary design optimization discovers the optimal balance among subsystems within an eVTOL. However, conventional multidisciplinary design optimization is computationally intensive due to excessive high-fidelity model evaluations. Moreover, complex nonlinear constraints deteriorate optimization efficiency and convergence. While surrogate models enable efficient design optimization, surrogate modeling suffers in large-scale applications and surrogate-based optimization still has to deal with nonlinear constraints. To address these challenges, the authors' previous work proposed physics-constrained generative adversarial …
Distributed Vibration Sensing For Identification Of Loose Connectors In Coaxial Data Transmission Lines, Saidanvar Esanjonovich Valiev, Anthony C. Okafor, Jeremiah J. Rittenhouse, Jie Huang, Daniel S. Stutts
Distributed Vibration Sensing For Identification Of Loose Connectors In Coaxial Data Transmission Lines, Saidanvar Esanjonovich Valiev, Anthony C. Okafor, Jeremiah J. Rittenhouse, Jie Huang, Daniel S. Stutts
Mechanical and Aerospace Engineering Faculty Research & Creative Works
This study investigates the effect of vibration-induced loose connections on signal reflection (S11) for loose connection identification in aerospace coaxial cables using distributed sensing approach, which is effective in filtering the noise and identifying minor discontinuities. In this approach, a sliding gated window is applied to S11 signal, a fast Fourier transform is performed over the gated windows, cross-correlation is computed between the baseline and vibration-affected signals, and the standard deviation is mapped along the cable length. Sinewave signals from 9 kHz to 5 GHz were swept through cables with vibrating connectors under three conditions: fully tightened, loosened by 180°, …
Tomo-Piv Study Of A Parallel Two-Dimensional Jet In Supersonic Flow, Josiah Mcdermott, Connor Bell, Davide Vigano
Tomo-Piv Study Of A Parallel Two-Dimensional Jet In Supersonic Flow, Josiah Mcdermott, Connor Bell, Davide Vigano
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Stabilizing combustion in supersonic flows is a formidable challenge due to the small time scales afforded for air-fuel mixing. Numerous studies in this area have demonstrated the potential of strut-style platforms for fuel injection and mixing enhancement, which remains an active area of research. In the Aerodynamics Research Laboratory at Missouri S&T, a strut-style injector system has recently been installed. In this study, we characterize the flow structures behind this platform in a range of injection pressures and corresponding mass flux ratios. The wake generated by a strut and injection plume, even absent combustion or mixing enhancement geometry, has an …
Meteorological And Air Quality Effects On Bioaerosol Detection Using Wibs-Neo And Ibac-2 In Dublin City, Emma Markey, Jerry Hourihane Clancy, Moisés Martínez-Bracero, José María Maya-Manzano, Raúl Pecero-Casimiro, Eoin Joseph Mcgillicuddy, Gavin Sewell, Roland Sarda-Estève, Andrés M. Vélez-Pereira, David J. O’Connor
Meteorological And Air Quality Effects On Bioaerosol Detection Using Wibs-Neo And Ibac-2 In Dublin City, Emma Markey, Jerry Hourihane Clancy, Moisés Martínez-Bracero, José María Maya-Manzano, Raúl Pecero-Casimiro, Eoin Joseph Mcgillicuddy, Gavin Sewell, Roland Sarda-Estève, Andrés M. Vélez-Pereira, David J. O’Connor
Research Outputs: 2025-Present
This study evaluates the performance of two real-time fluorescence-based bioaerosol sensors, the WIBS-NEO and IBAC-2, operating in urban Dublin, Ireland, and assesses the influence of different meteorological and pollution parameters on their outputs. This was done by comparing particle sensor data to meteorological variables and air quality metrics. Over the 41-day campaign, Urticaceae pollen and Cladosporium spores were the dominant bioaerosols recorded, comprising 78% and 66% of total pollen and fungal spore concentrations, respectively. Correlation analyses revealed several significant variables: fluorescent BC-type particles (>8 μm) detected by WIBS-NEO strongly correlated with pollen concentrations (r = 0.84 after excluding high-wind …
Am I Top Of The Pops? Does Feedback Of Live Gps Between Sets Of Hurling-Specific Small-Sided Games Improve Subsequent Running And Physiological Performance?, Shane Malone, John Keane, Tom Hargroves, Conor P. Clancy, John David Duggan, Damien Young, Kieran D. Collins
Am I Top Of The Pops? Does Feedback Of Live Gps Between Sets Of Hurling-Specific Small-Sided Games Improve Subsequent Running And Physiological Performance?, Shane Malone, John Keane, Tom Hargroves, Conor P. Clancy, John David Duggan, Damien Young, Kieran D. Collins
Research Outputs: 2025-Present
The investigation aimed to determine if live feedback of team- and player-specific global positioning system (GPS) running performance data between bouts of hurling small-sided games (SSGs) altered the physical and physiological responses during subsequent bouts of SSGs during a 6-week hurling pre-season period. Twenty-four (n = 24) hurling players (age 25.5 ± 3.2 years; height 177.9 ± 3.2 cm; body mass 83.5 ± 4.5 kg) received either feedback or no feedback during hurling-specific SSGs across a 6-week pre-season period. Teams were assigned to two specific groups, a) GPS live feedback or b) no GPS live feedback (control) for each session, …
A Review Of Data Interoperability As A Barrier To Non-Residential Building Energy Policy: Evidence From Ireland, Ankur Mitra, Kriti Bhalla, Ciara Ahern
A Review Of Data Interoperability As A Barrier To Non-Residential Building Energy Policy: Evidence From Ireland, Ankur Mitra, Kriti Bhalla, Ciara Ahern
Research Outputs: 2025-Present
Non-residential buildings account for a significant share of energy use and greenhouse gas emissions across the EU, yet evidence-based policy development remains hindered by fragmented and non-interoperable building data systems. This study evaluates the suitability of publicly available electronic datasets for characterising Ireland’s non-residential building stock and supporting bottom-up energy modelling in the context of the recast Energy Performance of Buildings Directive (EPBD 2024/1275/EU).A systematic scoping review of national government and institutional datasets was conducted using an adapted PRISMA-ScR approach. The analysis identified the national Energy Performance Certificate database and GeoDirectory as the only datasets with sufficient scale and detail …
Virtual Screening Of Phytochemicals From Medicinal Plants As Promising Pde5 Inhibitors Against Erectile Dysfunction, Farouk Boudou, Alaeddine Berkane, Amal Belakredar, Ahcene Keziz, Huda Alsaeedi, Brian A. Murray, Mikhael Bechelany, Ahmed Barhoum
Virtual Screening Of Phytochemicals From Medicinal Plants As Promising Pde5 Inhibitors Against Erectile Dysfunction, Farouk Boudou, Alaeddine Berkane, Amal Belakredar, Ahcene Keziz, Huda Alsaeedi, Brian A. Murray, Mikhael Bechelany, Ahmed Barhoum
Research Outputs: 2025-Present
This study evaluates bioactive phytochemicals from Algerian medicinal plants as potential phosphodiesterase-5 (PDE5) inhibitors for the treatment of erectile dysfunction (ED) using an integrated in silico approach. A total of 76 compounds from 48 plant species were screened for drug-likeness using SwissADME. Overall, 72% of the compounds complied with Lipinski's Rule of Five, indicating favorable oral bioavailability, while toxicity prediction identified 29 non-toxic candidates. Molecular docking was validated by redocking the co-crystallized PDE5 ligand (RMSD = 0.264 Å). Ellagic acid (−9.4 kcal·mol−1), rosmarinic acid (−9.2 kcal·mol−1), salvinorin A (−9.2 kcal·mol−1), and catechin (−9.0 kcal·mol …
Modeling The Proton Irradiation Resilience Of Perovskite Solar Cells, Ming Lang Tseng, Emad A.A. Ismail, Nima Ghadiri, Fuad A. Awwad
Modeling The Proton Irradiation Resilience Of Perovskite Solar Cells, Ming Lang Tseng, Emad A.A. Ismail, Nima Ghadiri, Fuad A. Awwad
Research Outputs: 2025-Present
This study introduces a semiclassical modeling for the impact of proton irradiation on two perovskite solar cell structures: FA0.7Cs0.3Pb(I0.9Br0.1)3/C60 and Cs0.01MA0.01FA0.98PbI3/P3HT using coupled current-continuity and rate equations linked to irradiation-induced defect-generation rate. Results reveal a strong dependence of radiation response on perovskite composition. Proton irradiation can induce both ionizing and displacement damage in perovskite solar cells leading to vacancy and defect generation. The result is increased recombination and degradation of performance parameters (reduced fill factor and efficiency) or, otherwise, annihilation of …
In Vitro Efficiency Analysis Of Different Β-Tri-Calcium Phosphate And Hydroxyapatite Doped Bacterial Cellulose-Polyvinylpyrrolidone Composite Hydrogel For Bone Tissue Repair, Probal Basu, Nabanita Saha, Radostina Alexandrova, Boika Andonova Lilova, Maya Argirova, Petr Saha
In Vitro Efficiency Analysis Of Different Β-Tri-Calcium Phosphate And Hydroxyapatite Doped Bacterial Cellulose-Polyvinylpyrrolidone Composite Hydrogel For Bone Tissue Repair, Probal Basu, Nabanita Saha, Radostina Alexandrova, Boika Andonova Lilova, Maya Argirova, Petr Saha
Research Outputs: 2025-Present
The study emphasizes an in-depth in vitro efficiency analysis of bacterial cellulose (BC)-polyvinylpyrrolidone (PVP) composite hydrogel scaffolds which are doped with different concentrations of β-tri-calcium phosphate (β-TCP) and hydroxyapatite (HA). The hydrogels are prepared with the natural polymer, BC, and synthetic polymer, PVP. Polyethylene glycol (PEG) is also used as an anti-cytotoxic agent and agar is used as a gelling agent. β-TCP and HA were given in the ratio (w/w): 20:80 (BC-PVP- β-TCP/HA_20:80), 40:60 (BC-PVP-β-TCP/HA_40:60), 50:50 (BC-PVP-β-TCP/HA_50:50). In vitro efficacy of the different tri-calcium phosphate (β-TCP) and hydroxyapatite BC-PVP composite hydrogel scaffolds are analyzed through comparative analysis of the cell …
Simulation Of Ion Migration In Perovskite Solar Cells At Elevated Temperature And Voltage Levels, Ali Hajjiah, Nima Ghadiri
Simulation Of Ion Migration In Perovskite Solar Cells At Elevated Temperature And Voltage Levels, Ali Hajjiah, Nima Ghadiri
Research Outputs: 2025-Present
A coupled modeling approach based on Sah-Noyce-Shockley theory has been developed to simulate the ion migration in perovskite solar cells under elevated temperature and bias levels. The model considers the migration of cations (MA+) and anions (I−) across the structure of a MAPbI3 solar cell (TiO2/Perovskite/Spiro) demonstrating how at elevated temperature and applied voltage levels, the ion can migrate with different speed and the ion concentration profiles can influence the device performance parameters. Results reveal that low-energy ions migrate rapidly toward the interfaces under forward or reverse bias, with cation concentrations reaching ∼10 …
Fluid Dynamics Of A Microfluidic Micromixer–Micropump Driven By Adjacent Micro Synthetic Jets, Delara Soltani, Tim Persoons, Sajad Alimohammadi
Fluid Dynamics Of A Microfluidic Micromixer–Micropump Driven By Adjacent Micro Synthetic Jets, Delara Soltani, Tim Persoons, Sajad Alimohammadi
Research Outputs: 2025-Present
Efficient mixing at the microscale remains a significant challenge in microfluidic systems due to the dominance of laminar flow and the consequent limitation of convective transport. Synthetic jets, generated by the oscillatory motion of a diaphragm within a cavity, produce a zero net mass flux while imparting periodic momentum to the surrounding fluid, thereby enabling localised flow perturbation and vortex generation that can substantially enhance mixing and mass transfer in microchannels. In this study, a pair of adjacent micro synthetic jets (AMSJs) is positioned perpendicularly to a microchannel to investigate their potential as a novel micropump-mixer. The vectoring effect of …