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Articles 59461 - 59490 of 61994
Full-Text Articles in Entire DC Network
Rapid Classification And Quality Assessment Of Citrus Essential Oils Via Machine-Learning-Assisted Raman Spectroscopy, Yong Xuan Hong, Jia Wei Tang, Jie Chen, Yun Yun Xie, Zhang Wen Ma, Qing Hua Liu, Liang Wang
Rapid Classification And Quality Assessment Of Citrus Essential Oils Via Machine-Learning-Assisted Raman Spectroscopy, Yong Xuan Hong, Jia Wei Tang, Jie Chen, Yun Yun Xie, Zhang Wen Ma, Qing Hua Liu, Liang Wang
Research outputs 2022 to 2026
Citrus essential oils (EOs) require accurate identification and assessment to ensure authenticity and consistency. However, conventional techniques such as gas chromatography (GC) and mass spectrometry (MS) are time-consuming and expensive, highlighting the need for novel analytical methods. This study proposes an approach for EOs detection using Raman spectroscopy (RS) combined with machine learning (ML) algorithms. Six citrus EOs underwent an evaporation experiment, with Raman spectra collected at five time points and GC-MS was used to analyze compositional changes at the starting and ending points of evaporation as a standard reference. Five ML algorithms were developed to identify differences among EOs …
Sparse Gradient Training For Recommender Systems, Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Jianxin Li, Hongzhi Yin
Sparse Gradient Training For Recommender Systems, Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Jianxin Li, Hongzhi Yin
Research outputs 2022 to 2026
Recommender systems are widely applied in numerous online platforms such as shopping and social media platforms. They typically utilize large embedding tables that map users and items to dense vectors of uniform sizes. As the number of users and items continues to grow, this design leads to significant memory consumption and computational inefficiencies. This challenge is particularly pronounced in scenarios such as federated learning, where model parameters are updated locally on edge devices with limited computational resources before being transmitted to a central server for aggregation. Numerous approaches have been proposed to address this issue, among which embedding pruning methods …
Success Factors For Effective Workplace Bullying Interventions: A Scoping Review, Kate Blackwood, Azadeh Shafaei, Tim Bentley, Maryam Omari, Dayna Fawkes
Success Factors For Effective Workplace Bullying Interventions: A Scoping Review, Kate Blackwood, Azadeh Shafaei, Tim Bentley, Maryam Omari, Dayna Fawkes
Research outputs 2022 to 2026
Purpose – The study aimed to comprehensively review the existing evaluated interventions on preventing workplace bullying and provide recommendations on the success factors for designing effective workplace bullying interventions. Design/methodology/approach – We used a scoping review framework (PRISMA-ScR) to explore, identify and shortlist a range of articles evaluating workplace bullying interventions. Specifically, this review examined the content and relative effectiveness of workplace bullying interventions related to their design and implementation. Findings – The study has found that no one specific intervention type consistently produced the desired outcome. However, interventions that are multifaceted, multi-level, focused on the organisational level, owned by …
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. …
The Proposed Impact And Anticipated Barriers Of Establishing Food Action Groups In Rural, Regional, And Remote Western Australia, Stephanie L. Godrich, Jess Doe, Sarah Goodwin, Melissa Stoneham, Amanda Devine
The Proposed Impact And Anticipated Barriers Of Establishing Food Action Groups In Rural, Regional, And Remote Western Australia, Stephanie L. Godrich, Jess Doe, Sarah Goodwin, Melissa Stoneham, Amanda Devine
Research outputs 2022 to 2026
Objective: To identify Food Action Groups’ activities that positively impact local food systems, and anticipated barriers to establishing Food Action Groups in rural, regional, and remote Western Australia. Design: This qualitative study employed a phenomenological approach. Nineteen focus groups were conducted. Setting: Rural, regional, and remote Western Australia locations, including 11 towns across 8 regions. Participants: A total of 92 participants (61 interest holders and 31 community members). Analysis: A thematic analysis was undertaken. Results: Priority activities included government advocacy to support local commercial food production, processing, and sales; retain food within its region of origin; and home and community …
Constraining Citizenship: Presidential Threshold In Indonesia’S Judicial Framework, Arfan Yanayir Akbar Sabillilah
Constraining Citizenship: Presidential Threshold In Indonesia’S Judicial Framework, Arfan Yanayir Akbar Sabillilah
Jurnal Hukum & Pembangunan
This research critically evaluates the constitutionality of Indonesia's Presidential Threshold as regulated by Article 222 of Law No. 7/2017, requiring political parties or coalitions to secure 20% of DPR seats or 25% of national valid votes for presidential nominations. The term “Presidential Threshold” follows Constitutional Court jurisprudence, distinguishing it from the election threshold in Article 6A(3) requiring 50%+1 votes to win the presidency and the parliamentary threshold in Article 414 requiring 4% of votes for legislative seat allocation. Through normative legal analysis of Constitutional Court decisions No. 51-52-59/PUU-VI/2008, 53/PUU-XV/2017, and 62/PUU-XXII/2024, this study examines 33 judicial reviews from 2017 to …
Brilliant Little Things: Drama-Based Mindfulness To Support Pre-Service Teacher Wellbeing, Christina C. Gray, John O’Rourke
Brilliant Little Things: Drama-Based Mindfulness To Support Pre-Service Teacher Wellbeing, Christina C. Gray, John O’Rourke
Research outputs 2022 to 2026
Wellbeing is increasingly recognised as a critical concern in teacher education, yet pre-service teachers remain vulnerable to stress, burnout, and early attrition. This study examines Brilliant Little Things, an arts-based wellbeing initiative embedded within a drama education program. Using a phenomenological approach, the research draws on interviews, reflective journals, group chat posts, photographs, and artwork to explore how drama-based mindfulness practices can support the wellbeing of drama educators. Findings reveal how the production fostered reflection, connection, and emotional insight, offering a space for mindfulness and community. Narratives highlight the value of creative, relational pedagogies in strengthening resilience. This research contributes …
Covert Performance Of Star-Ris Aided Thz Communication System With Rsma And Phase Errors, Xiangbin Yu, Yue Zhou, Shihao Yan, Yun Rui, Xiaoyu Dang, Chau Yuen, Mohsen Guizani
Covert Performance Of Star-Ris Aided Thz Communication System With Rsma And Phase Errors, Xiangbin Yu, Yue Zhou, Shihao Yan, Yun Rui, Xiaoyu Dang, Chau Yuen, Mohsen Guizani
Research outputs 2022 to 2026
In this paper, the covert performance of the simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided Terahertz (THz) communication systems with rate-splitting multiple access (RSMA) over the generalized α-μ fading channel is studied, where the discrete phase error and noise power uncertainty are considered. By means of the Gaussian approximation and Gamma distribution, the closed-form outage probability (OP) of the legitimate users is firstly derived. Then, the covert performance of the system is analyzed, and average detection error probability (ADEP) is deduced for the warden, and resultant closed-form ADEP is obtained. By minimizing the ADEP, the optimal detection threshold …
Covert Transmission For Active Ris-Aided Full-Duplex Uav Integrated Sensing, Communication, And Computation Systems, Qi Zhang, Wei Gao, Chuan Liu, Yu Yao, Shihao Yan, Feng Shu, Shi Jin
Covert Transmission For Active Ris-Aided Full-Duplex Uav Integrated Sensing, Communication, And Computation Systems, Qi Zhang, Wei Gao, Chuan Liu, Yu Yao, Shihao Yan, Feng Shu, Shi Jin
Research outputs 2022 to 2026
Next-generation wireless network should accomplish integrated sensing, communication, and computation (ISCC) capabilities. This paper proposes a novel covert transmission scheme based on active reconfigurable intelligent surface (RIS)-enabled full-duplex (FD) unmanned aerial vehicle (UAV)-ISCC framework, where the multi-functional UAV realizes simultaneous target sensing and uplink (UL) covert communication, as well as performing edge computing (EC) for users. To maximize the minimum covert transmission rate (CTR) among all UL users, UAV transmit beamforming and trajectory, RIS weights, power allocation and signal processing in a FD UL transmission system are jointly devised. To tackle the intractable non-convex problem, we leverage second order cone …
Design Of Artificial Interference Signal Waveforms For Covert Communication Aided By Multiple Friendly Nodes, Xuyang Zhao, Wei Guo, Yongchao Wang, Shihao Yan
Design Of Artificial Interference Signal Waveforms For Covert Communication Aided By Multiple Friendly Nodes, Xuyang Zhao, Wei Guo, Yongchao Wang, Shihao Yan
Research outputs 2022 to 2026
In this work, we consider a covert communication scenario with multiple friendly interference nodes. The goal is to hide a legitimate communication link from a transmitter to a receiver under a warden’s surveillance. Firstly, we propose a novel strategy for generating artificial noise (AN) signals and formulate a corresponding design problem, aiming to minimize the adverse effects of AN on the legitimate receiver while enhancing communication covertness. Specifically, we optimize the basis matrix for AN signal space using statistical information of the involved channel coefficients, when precise channel state information are unavailable. Secondly, we analyze the geometric structure of the …
Integrating Environmental Awareness In Underwater Acoustic Networks: A Comprehensive Review, Sadaf Vahabli, Iftekhar Ahmad, Quoc Viet Phung, Daryoush Habibi, Walid K. Hasan, Ruba Zaheer
Integrating Environmental Awareness In Underwater Acoustic Networks: A Comprehensive Review, Sadaf Vahabli, Iftekhar Ahmad, Quoc Viet Phung, Daryoush Habibi, Walid K. Hasan, Ruba Zaheer
Research outputs 2022 to 2026
Underwater Acoustic Networks (UANs) are critical for enabling long-range underwater communication, supporting a wide range of applications, such as environmental monitoring, resource exploration, disaster prevention and marine security. Unfortunately, UANs operate within a limited acoustic spectrum, where these spectrums often overlap with those used by marine animals for communication, navigation and foraging. Additionally, anthropogenic noise from industrial activities contributes to acoustic pollution, intensifying this problem. This frequency overlap poses significant risks to marine life. Therefore, this review highlights the urgent need to develop environmentally aware UANs that minimize harmful acoustic interference with marine mammals, fish and invertebrates. Further, it focuses …
Limited Site-Specific Blue Carbon Recovery Following Tropical Seagrass Restoration In Thailand, Ratchanee Kaewsrikhaw, Milica Stankovic, Pere Masqué, Mathew A. Vanderklift, Tipamat Upanoi, Anchana Prathep
Limited Site-Specific Blue Carbon Recovery Following Tropical Seagrass Restoration In Thailand, Ratchanee Kaewsrikhaw, Milica Stankovic, Pere Masqué, Mathew A. Vanderklift, Tipamat Upanoi, Anchana Prathep
Research outputs 2022 to 2026
Seagrass restoration is gaining popularity as a nature-based method for climate change mitigation, owing to its effectiveness in capturing and storing organic carbon (Corg). However, demonstrating blue carbon additionality — defined as a measurable increase in carbon stocks directly attributable to restoration activities — remains challenging. This research assessed sedimentary Corg stocks and carbon accumulation rates in restored tropical seagrass meadows throughout Thailand. Despite successful restoration at multiple sites, sediment analysis showed little Corg accumulation, low Corg and organic matter content, with non-significant differences among restored seagrass areas, patchy natural meadows, and nearby bare sand areas. Limited sediment accumulation was …
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, …
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 …
Metaverse And Artificial Intelligence As Web 4.0: The Next Generation Of The Internet, Anton Klarin, Elena Gorenskaia, Qijie Xiao, Pi-Shen Seet
Metaverse And Artificial Intelligence As Web 4.0: The Next Generation Of The Internet, Anton Klarin, Elena Gorenskaia, Qijie Xiao, Pi-Shen Seet
Research outputs 2022 to 2026
This study utilizes systems thinking to explore and entwine an evolving metaverse scholarship to a relatively underexplored phenomenon of Web 4.0. We adopt a soft systems thinking framework to guide the interpretation of complex and evolving metaverse scholarship, using bibliometric mapping of 5587 publications sourced from Scopus. Using systems thinking, we synthesize these clusters into the following four thematic areas: (i) business and society implications, (ii) optimization, (iii) integration with other technologies and (iv) metaverse education. Drawing on the largest-to-date review of the metaverse as well as a systematic review of Web 4.0 literature, we propose a novel conceptualization of …
Nursing Leadership And Pandemic Preparedness Via Game-Based Learning Simulation: A Narrative Review (Registered Nurses And Undergraduate Nursing Students), Scott James Andrews, Olivia Gallagher, Alecka Miles, Carol Crevacore, Brennen Mills
Nursing Leadership And Pandemic Preparedness Via Game-Based Learning Simulation: A Narrative Review (Registered Nurses And Undergraduate Nursing Students), Scott James Andrews, Olivia Gallagher, Alecka Miles, Carol Crevacore, Brennen Mills
Research outputs 2022 to 2026
Background: Early progression of newly registered nurses into leadership roles is commonplace in clinical settings. Nurses and student nurses can prepare for leadership by gaining exposure through simulation-based learning. A novel and expanding modality are game-based learning (GBL) simulation. Nurse leaders play a crucial role during pandemics, guiding their teams through crises and ensuring effective response strategies. Reviewing the literature to identify the content, structure, and effectiveness of current pandemic preparedness and GBL simulation in nursing education is necessary to identify lessons learnt during the COVID-19 pandemic response to guide workforce preparation for future surge planning. Aim: The aim of …
Parents’ Utilisation Of The Literacy-Based Text Message Program Kindytxt, Amanda Binns
Parents’ Utilisation Of The Literacy-Based Text Message Program Kindytxt, Amanda Binns
Research outputs 2022 to 2026
Text messaging programs have emerged as effective tools for enhancing parental engagement in children’s home-based literacy development, as substantiated by a growing body of research. This paper presents findings from a doctoral study that examined parental experiences and perceptions of a literacy-based text messaging program, with particular emphasis on how such initiatives inform and shape literacy practices in families with kindergarten-aged children. Rooted in the frameworks of social constructivism and interpretivism, the research privileges participants’ unique perspectives to explore the varied meanings parents construct around their use of the Kindytxt program. The study was theoretically informed by Vygotsky’s sociocultural theory, …
Performance Investigation Of Microchannel Heat Sink With Biomimetic Trefoil Cavities On Different Walls, Sadiq Ali, Numan Habib, Faraz Ahmad, Aamer Sharif, Ana Vafadar
Performance Investigation Of Microchannel Heat Sink With Biomimetic Trefoil Cavities On Different Walls, Sadiq Ali, Numan Habib, Faraz Ahmad, Aamer Sharif, Ana Vafadar
Research outputs 2022 to 2026
The modern world is shifting towards digitalization and miniaturization, leading to higher flux densities in electronic components and machines. However, conventional cooling methods, such as air-cooled smooth channels, are proving inadequate for removing the huge amounts of heat generated, thereby compromising the reliability and operational lifespan of electronic systems. This necessitates urgently exploring and analyzing modern techniques like microchannel cooling to improve its efficiency. This work uses ANSYS to conduct numerical simulations and investigates the heat transfer and flow behavior in a microchannel heat sink. The smooth channel is used to investigate and validate the flow behavior with the available …
The Gut Microbiome Mediates The Association Between A Flavonoid-Rich Diet And Masld In A Population-Level Analysis, William Bell, Amy Jennings, Nicola P. Bondonno, Andre Franke, Corinna Bang, Marcus Both, Jan Kassubek, Hans Peter Müller, Jan Borggrefe, Wolfgang Lieb, Tilman Kühn, Aedín Cassidy
The Gut Microbiome Mediates The Association Between A Flavonoid-Rich Diet And Masld In A Population-Level Analysis, William Bell, Amy Jennings, Nicola P. Bondonno, Andre Franke, Corinna Bang, Marcus Both, Jan Kassubek, Hans Peter Müller, Jan Borggrefe, Wolfgang Lieb, Tilman Kühn, Aedín Cassidy
Research outputs 2022 to 2026
Purpose: A growing body of evidence suggests diets rich in flavonoids may protect against metabolic-dysfunction associated steatotic liver disease (MASLD) development and progression. As the gut microbiome is important in the biotransformation of flavonoids to their constituent bioactive metabolites, studies on the potential mediating role of the gut microbiome in the association between dietary flavonoid intakes and MASLD are warranted but lacking. Thus, this study aims to examine the associations between a diet rich in flavonoids and MASLD, and assess the potential mediating role of the gut microbiome. Methods: In a cross-sectional analysis (n = 531), using the FlavoDiet score …
The Perceptions And Applications Of Cluster Sets In Strength And Conditioning, Tsuyoshi Nagatani, Shayne Vial, Kristina L. Kendall, Paul Comfort, Jiahao Yang, G. Gregory Haff
The Perceptions And Applications Of Cluster Sets In Strength And Conditioning, Tsuyoshi Nagatani, Shayne Vial, Kristina L. Kendall, Paul Comfort, Jiahao Yang, G. Gregory Haff
Research outputs 2022 to 2026
It is well documented that cluster sets, a modified set structure with additional rest between individual repetitions or groups of repetitions, can be used to modulate exercise-induced fatigue during resistance training. While practical guidelines exist, it remains unclear to what extent strength and conditioning (S&C) professionals utilise this programming tactic. The aim of this study was to examine S&C professionals’ perceptions of cluster sets and their application in practice. A secondary aim was to assess the alignment between cluster set programming tactics used in the field and evidence-based recommendations from the scientific and coaching literature. Forty-six S&C professionals (age: 40.0 …
The Strategic Competence Of Secondary Mathematics Teachers Solving Algebraic Word Problems, Vesife Hatisaru, Steven Richardson, Helen Chick, John Sevier
The Strategic Competence Of Secondary Mathematics Teachers Solving Algebraic Word Problems, Vesife Hatisaru, Steven Richardson, Helen Chick, John Sevier
Research outputs 2022 to 2026
We examined the strategic competence of 22 secondary mathematics teachers by considering their solutions to an algebraic word problem involving simultaneous equations. The analyses have shown that although the majority could solve the problem, the strategic competence of the participants varied, with some teachers having greater fluency with an algebraic solution, and the others less likely to address simultaneity. Overall, many of the teachers had relatively limited capacity to identify additional solution approaches. The study highlights the usefulness of a strategic competence scheme with key indicators that may reveal areas for further teacher development, with the specific findings suggesting the …
Towards Carbon Geosequestration: Comparing The Wettability Performance Of Western Australian Altered Basaltic Rock/Co2/Water Systems, Seyi Philemon Akanji, Rossen Sedev, Lionel Esteban, Ausama Giwelli, Trevor Beardsmore, Heather Howard, Joel Sarout, Alireza Keshavarz, Stefan Iglauer
Towards Carbon Geosequestration: Comparing The Wettability Performance Of Western Australian Altered Basaltic Rock/Co2/Water Systems, Seyi Philemon Akanji, Rossen Sedev, Lionel Esteban, Ausama Giwelli, Trevor Beardsmore, Heather Howard, Joel Sarout, Alireza Keshavarz, Stefan Iglauer
Research outputs 2022 to 2026
Geosequestration of carbon dioxide in basaltic rock formations is considered to have the potential to safely and permanently store significant quantities of this greenhouse gas and thereby mitigate its potential global warming effect. The success of this storage method is primarily dependent on the wettability behaviour of the rock-water-CO2 system, which significantly affects fluid distribution, fluid transport, storage capacity and containment security. This study investigates the wettability performance of several Western Australian altered basaltic rocks, of similar geochemistry, porosity and inter-connection. The wettability behaviour of the basaltic materials is assessed using water containing ions that have been leached from the …
Tribological Properties Of Woven Carbon Fiber/Peek Composites From Ambient To 200 °C: Ultra-Low Wear And Performance Evolution, Zheng Bo Xu, Shu Qing Kou, Feng Qiu, Liang Yu Chen, Hong Yu Yang, Jun Nan Dai, Shi Li Shu, Ruifen Guo, Qi Chuan Jiang, Lai Chang Zhang
Tribological Properties Of Woven Carbon Fiber/Peek Composites From Ambient To 200 °C: Ultra-Low Wear And Performance Evolution, Zheng Bo Xu, Shu Qing Kou, Feng Qiu, Liang Yu Chen, Hong Yu Yang, Jun Nan Dai, Shi Li Shu, Ruifen Guo, Qi Chuan Jiang, Lai Chang Zhang
Research outputs 2022 to 2026
The limited mechanical and tribological stability of carbon fiber reinforced PEEK matrix composites at elevated temperatures remains a major obstacle to their widespread application in extreme service environments. In this work, stain-woven carbon fiber (60 wt%) reinforced PEEK composite (CP60) was fabricated via compression molding, and its temperature-dependent mechanical and wear performance was systematically evaluated. Friction and wear behavior were systematically investigated using pin-on-disc tests under dry sliding conditions. Experiments were conducted at two distinct temperatures (room temperature (RT) and 200 °C) with diverse loads (200–400 N) and sliding velocities (0.47 and 0.94 m/s). The composite exhibited lower average friction …
Unraveling The Significance Of Fecal Microrna Profile In Alzheimer’S Disease, Kavisha Katuwawala, Prashant Bharadwaj, Ian Martins, B. G.D.N.K. De Silva, Vincent Ho, Asiri Dissanayake, Ralph N. Martins, W. M.A.D.Binosha Fernando
Unraveling The Significance Of Fecal Microrna Profile In Alzheimer’S Disease, Kavisha Katuwawala, Prashant Bharadwaj, Ian Martins, B. G.D.N.K. De Silva, Vincent Ho, Asiri Dissanayake, Ralph N. Martins, W. M.A.D.Binosha Fernando
Research outputs 2022 to 2026
Alzheimer’s disease (AD), a complex neurodegenerative disorder characterised by progressive cognitive decline, affects millions globally. With no current cure, treatment focuses on symptom management and slowing disease progression. Early identification is therefore crucial. Fecal microRNA (miRNA) analysis is emerging as a promising non-invasive diagnostic tool. Evidence suggests that miRNAs present in fecal samples may regulate gene expression linked to AD pathology, impacting cellular functions and disease progression. Dietary factors critically influence gut microbiota composition and diversity, affecting brain health via the gut brain axis. Macronutrients such as carbohydrates, proteins, and fats modulate miRNA expression and gut microbiota, influencing AD risk. …
Exploring New Poly-Anion Based Materials For Lithium – Ion Battery Cathodes, Sutapa Bhattacharya
Exploring New Poly-Anion Based Materials For Lithium – Ion Battery Cathodes, Sutapa Bhattacharya
Doctoral Dissertations
The escalating global demand for sustainable energy storage solutions has driven intensive research into novel electrode materials. Polyanion-based cathode materials have emerged as promising candidates due to their structural stability, safety, and voltage tunability enabled by the inductive effect of polyanionic groups. This research explores the synthesis, crystal structure, and electrochemical performance of new polyanion-based cathode materials featuring vanadium, molybdenum, and iron within phosphate and selenite frameworks.
Novel selenite-based materials, such as LiFe(SeO₃)₂ and Li₀.₂₅V₂O₃(SeO₃)₂, were synthesized and characterized, revealing stable electrochemical cycling associated with Fe2+/Fe3+ and V⁴⁺/V⁵⁺ transitions. Additionally, a systematic investigation was conducted on molybdenum phosphate compounds, including …
Manufacturing And Performance Evaluation Of Carbon/Epoxy Laminated Composites Cured Using Single- And Six-Magnetron Microwave Applications, Nayan Pundhir
Doctoral Dissertations
Microwave curing is fast, energy-efficient, and a viable alternative to conventional thermal curing processes. It has been widely adopted for processing carbon fiber-reinforced polymer (CFRP) composites because the high electrical conductivity of carbon fibers enables strong microwave coupling, leading to rapid volumetric heating and reduced energy consumption. The aim of this study is to investigate the use of microwave curing for manufacturing CFRP composites. IM7/Cycom 5320-1 unidirectional prepreg was utilized to fabricate laminated composites in two thickness ranges: 16-layer laminates (2.5 mm thickness) and 64-layer laminates (9.2 mm thickness). Two lay-up configurations were examined: symmetric cross-ply and quasi-isotropic. Different curing …
Adaptive Machine Learning Framework For Microstructural Optimization And Mechanical Performance Prediction In Steels, Henry Adekola Haffner
Adaptive Machine Learning Framework For Microstructural Optimization And Mechanical Performance Prediction In Steels, Henry Adekola Haffner
Doctoral Dissertations
Evolution of microstructures, such as polygonal ferrite, acicular ferrite, bainite, and martensite, plays a pivotal role in determining the final microstructural and mechanical properties of steel products. Given the established inter-relationship between processing parameters, microstructure, properties, and performance, precise control of phase transformation is essential to achieve pre-determined properties. To understand transformation routes in different steel grades, time-temperature-transformation (TTT) and continuous-cooling-transformation (CCT) diagrams are necessary and can be described using the Johnson-Mehl-Avrami-Kolmogorov equation and Scheil’s additivity rule. This study presents a comprehensive computational framework for predicting and optimizing microstructure and mechanical properties in advanced high-strength steels (AHSS) using adaptive machine …
Geometric Effects Of Warfighters On Body Armor Fit And Protective Capabilities Against Shock Wave Energy, Melissa Lynn Sutter
Geometric Effects Of Warfighters On Body Armor Fit And Protective Capabilities Against Shock Wave Energy, Melissa Lynn Sutter
Doctoral Dissertations
Body armor is a vital piece of protective equipment for warfighters to defend against threats, necessitating continued development to improve comfort, weight, and protection. However, female warfighters often wear unisex body armor, designed primarily for the male torso. Current research has evaluated the short- and long-term detriments of female warfighters wearing these armors, focusing on comfort and performance. However, these studies do not comprehensively consider how a non-form-fitting armor compromises warfighter safety from battlefield threats. This research examines the geometric effects of female warfighters on armor protection level when defending against shock threats by evaluating the energy distribution on a …
Zirconium Carbide Based Materials For Extreme Aerospace Environments, Nathaniel Hyman Blatt
Zirconium Carbide Based Materials For Extreme Aerospace Environments, Nathaniel Hyman Blatt
Doctoral Dissertations
This research focuses on the processing and properties of zirconium carbide-based materials to promote their use in extreme environment aerospace applications, including nuclear thermal propulsion and hyper sonics. Several carbide systems including ZrC, ZrC-Mo cermets, (Zr, Nb)C, and a high entropy carbide were developed. The ZrC-Mo cermet was studied extensively to understand the effect of starting carbide grain size on the final microstructure, composition, elastic moduli, hardness, fracture toughness, room and elevated temperature flexural strength, thermal diffusivity, electrical resistivity, thermal expansion coefficient, and thermal conductivity. It was shown that heat transport in the cermets was dominated by the ZrC phase …
Investigations In Hydrogen Ironmaking, Joseph William Govro
Investigations In Hydrogen Ironmaking, Joseph William Govro
Doctoral Dissertations
The purpose of this research is to contribute to the Grid Interactive Steelmaking with Hydrogen (GISH) project. This research investigates the viability of both producing and melting Direct-Reduced Iron (DRI) utilizing hydrogen. Conventional CO reduced DRI will be referred to as “C-DRI” and DRI produced using hydrogen gas will be referred to as “H-DRI”.
An H-DRI pilot plant was constructed in Golden Colorado. The pilot plant was commissioned and successfully operated four campaigns. Process improvements were made throughout the campaigns and the process was optimized. In addition to running the pilot plant in a pure hydrogen condition, the pilot plant …