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Fasting triglycerides in the upper normal range are independently associated with an increased risk of diabetes mortality in a large representative US population
Get PDFThe association between normal-range triglyceride levels and diabetes mortality remains unclear. This cohort study aimed to elucidate this relationship by examining 19,010 US adult participants with fasting serum triglycerides below 150 mg/dL. Cox proportional hazards models were employed to estimate mortality hazard ratios (HRs) and 95% confidence intervals (CIs). Participants were followed up for a mean of 15.3 years, during which 342 diabetes deaths were recorded. A 1 natural log unit increase in triglycerides was associated with a 57% higher risk of diabetes mortality (adjusted HR, 1.57; 95% CI, 1.04–2.38). Comparable results were obtained when triglycerides were analyzed in quartiles. Receiver operating characteristic curve analysis identified an optimal triglyceride cutoff of 94.5 mg/dL for diabetes mortality; individuals with triglyceride levels above this threshold faced a greater risk of diabetes mortality (adjusted HR, 1.43; 95% CI, 1.12–1.83). Further investigation revealed a positive association between normal triglyceride levels and all-cause mortality, though no association was observed between normal triglycerides and mortality from hypertension or cardiovascular disease. In conclusion, elevated triglyceride levels within the normal range were associated with an increased risk of diabetes mortality. Individuals with triglyceride levels of 95 mg/dL or higher may require vigilant monitoring for diabetes and its associated complications. © 2024 by the author
A blockchain-based distributed peer-to-peer ecosystem for energy trading
Get PDFBlockchain technologies are revolutionising peer-to-peer (P2P) distributed energy trading. These technologies can leverage microgrid decentralisation and immutable data storage to provide efficient and secure trading to benefit prosumers. A double auction mechanism is best suited for energy trading in a P2P microgrid. This mechanism requires a solvent cryptocurrency reserve for payment settlement. Double auctions give rise to unspent auction reservations (UARs). Existing mechanisms can settle further auctions with UARs but need improvements to do this without affecting trading efficiency. Keeping a cryptocurrency reserve solvent also requires adaptations to existing mechanisms. Auction settlements within a microgrid leave UARs, meaning that other microgrids must join for further auction settlements, and this leads to security vulnerabilities. It is important to develop an ecosystem that can enhance trading efficiency, ensure the solvency of the cryptocurrency reserve and provide security for multi-microgrid energy trading. In distributed energy trading, an auctioneer passes UARs to the next auctioneer as specified by the passing mechanism. Traditional energy trading systems use simple passing mechanisms and basic pricing mechanisms, but this adversely affects trading efficiency and buyers’ economic surplus. Traditional P2P energy trading systems use passing mechanisms that only partially consider the auction capacity of the next auctioneer. We propose a blockchain-based energy trading mechanism using a smart passing mechanism (SPM) that uses an unspent reservation profile (URP) to represent the auctioneers’ capability to pass UARs within a P2P microgrid. We further propose an intelligent passing mechanism (iPass) that incorporates price information into URPs to enhance trading efficiency. We applied three metrics to measure trading efficiency: convergence time, auction settlements and the economic surplus of buyers and sellers. We simulated our mechanisms in Hyperledger Fabric, a permissioned blockchain framework that managed the data storage and smart contracts. Experiments showed that our SPM reduces the convergence time, increases auction settlements and increases the economic surplus of buyers compared with existing mechanisms. Experiments showed that iPass is even more efficient than other passing mechanisms, including SPM, further reducing the convergence time, increasing auction settlements and increasing the economic surplus of buyers and sellers. Settling payments in blockchain-based P2P energy trading requires maintaining the solvency of the cryptocurrency reserve to ensure a stable medium of exchange and reduce price volatility. Stablecoins, as a form of cryptocurrency—the most suitable medium of exchange—are gaining attention from central banks. A consortium of central banks has recommended compliance with capital and liquidity standards for high-quality liquid assets (HQLA). Stablecoins, as a form of HQLA, require the adaptation of these standards for P2P energy trading. We propose a mechanism (NF90) to control the inflow of stablecoins in response to the liquidity coverage ratio (LCR) for reserve resilience and to maintain solvency. The Basel III Accord recommends 100% LCR. We measured the effectiveness of NF90 using LCR as a metric simulating the mechanism in Hyperledger Fabric to manage deceni tralisation, data storage and smart contracts. NF90 was the most effective inflow control mechanism. The use of iPass for a P2P microgrid leaves UARs. Traditional trading mechanisms settle further auctions with UARs within a microgrid, which affects the economic surplus of prosumers. Auction settlements with neighbouring microgrids increase prosumers’ economic surplus, but the usual pricing of double auction mechanisms reduces their economic surplus. Other pricing mechanisms are needed in a multi-microgrid paradigm. Settling auctions for microgrids requires common computational resources that are close to microgrids. Edge computing technologies suit this need, and blockchain technology leverages immutable data storage in cloud servers. However, communication with a cloud server through proprietary edge computing devices exposes the ecosystem to security vulnerabilities. It is important to control access by prosumers and forensic users. Immutable data storage and the retrieval of data are essential. Two challenges in information security are incorporating reliable access control for users and devices while granting access to confidential data for relevant users and maintaining data persistence. This research used a blockchain structure for data persistence. We propose a framework of novel protocols to authenticate users (prosumers and auctioneers) by the edge server and of the edge server by the cloud server. Our framework also provides access to forensic users using immutable blockchain-based data storage with endpoint authentication and a role-based user access control system. We simulated the framework using the Automated Validation of Internet Security Protocols and Applications and showed that it can deal effectively with several security issues.Doctor of Philosoph
Antecedents of short-term international mobility programs : a systematic review and agenda for future research
No full textShort-term international mobility programs are being increasingly adopted by universities to achieve internationalisation, secure international accreditation and prepare graduates for global careers. A plethora of beneficial outcomes of student participation in short-term mobility education programs [Roy, A., A. Newman, T. Ellenberger, and A. Pyman. 2019. ‘Outcomes of International Student Mobility Programs: A Systematic Review and Agenda for Future Research.’ Studies in Higher Education 44 (9): 1630–1644; Waibel, S., H. Ruger, A. Ette, and L. Sauer. 2017. ‘Career Consequences of Transnational Educational Mobility: A Systematic Literature Review.’ Educational Research Review 20: 81–98] has motivated governments and universities to fund such programs [Pfotenhauer, S. M., J. S. Jacobs, D. J. Newman, and D. T. Roos. 2013. ‘Seeding Change Through International University: The MIT-Portugal Program as a Driver of Internationalization, Networking and Innovation.’ Higher Education 26: 217–242; Quan, R., A. Pearce, and Y. Baranchenko. 2017. ‘Educational Mobility in Transition: What Can China and The UK Learn from Each Other?’ Journal of Management Development 36 (6): 828–843; and Sin, C., O. Tavares, and G. Neave. 2017. ‘Student Mobility in Portugal: Grappling with a Adversity.’ Journal of Studies in International Education 21 (2): 120–135]. Scholarly work on student mobility in education has grown phenomenally in the last two decades. However, the specific study of antecedents of student participation which shape a student’s decision to participate in short-term mobility programs has not received adequate attention in literature. The need to study antecedents of student participation in mobility is highly relevant and critical to the creation of student opportunities for participation in such programs. With this aim, our paper undertakes a comprehensive review of scholarly works thus far on antecedents of student participation in short-term mobility programs classifying antecedents into personal and contextual antecedents. We identify areas of study needed to enhance scholarly understanding of antecedents of student participation and propose an agenda for future research complemented with recommendations for studying antecedents to short-term mobility participation. © 2022 Informa UK Limited, trading as Taylor & Francis Group
Suicide risk among older adults : the moderating role of hope
Get PDFObjectives: The current study investigated whether hope and its two components (agency and pathways) acted as protective factors by weakening the relations between perceived burdensomeness, thwarted belongingness, and acquired capability for suicide and suicide risk among older adults. Methods: A community sample of 594 older Australians aged from 60 to 95 years (Mage = 68.72, SDage = 6.67) completed the Suicidal Behaviors Questionnaire-Revised, Interpersonal Needs Questionnaire-Revised, Acquired Capability for Suicide Scale-Fearlessness about Death Scale, Adult Hope Scale, and Geriatric Depression Scale-short form. Results: After controlling for depressive symptoms and sociodemographic variables, hope and agency moderated the thwarted belongingness-suicide risk relation, and hope, agency, and pathways moderated the acquired capability for suicide-risk relation. Conclusions: Hope may play an important role in reducing suicide risk among older adults experiencing thwarted belongingness and who have acquired the capability for suicide. Research is required to identify ways of reducing suicide risk among older adults who experience perceived burdensomeness. Clinical Implications: Increasing hope may reduce suicide risk among older adults experiencing thwarted belongingness and who have acquired the capability for suicide. © 2022 Taylor & Francis Group, LLC
The pathway building technique in implementation research using mixed methods design
Get PDFBackground: Data integration refers to combining quantitative and qualitative data in mixed methods. It can be achieved through several integration procedures. The building integration procedure can be used for developing quantitative instruments by integrating data from the qualitative phase. There are limited examples of data integration using the building procedure in mixed methods and implementation science. Purpose: The purpose of this article is to illustrate how the pathway building technique can be used to integrate data in mixed methods research through concurrent use of implementation science models and frameworks. Methods: This two pathway building technique was developed based on a mixed methods implementation project of developing implementation strategies to promote compassionate nursing care of complex patients. Results: The first pathway is the integration of qualitative data from the first phase of mixed methods study with implementation models and frameworks to create a quantitative instrument (i.e., a Q-sort survey) for the subsequent phase. The second pathway is the operationalization of the Q-sort survey results (i.e., implementation strategies) using an implementation science specification framework. Conclusion: The pathway technique is valuable for mixed methods research and implementation science as it offers a theory-based innovative method to tackle integration challenge. © The Author(s) 2023
Current extent and future opportunities for living shorelines in Australia
Get PDFLiving shorelines aim to enhance the resilience of coastlines to hazards while simultaneously delivering co-benefits such as carbon sequestration. Despite the potential ecological and socio-economic benefits of living shorelines over conventional engineered coastal protection structures, application is limited globally. Australia has a long and diverse coastline that provides prime opportunities for living shorelines using beaches and dunes, vegetation, and biogenic reefs, which may be either natural (‘soft’ approach) or with an engineered structural component (‘hybrid’ approach). Published scientific studies, however, have indicated limited use of living shorelines for coastal protection in Australia. In response, we combined a national survey and interviews of coastal practitioners and a grey and peer-reviewed literature search to (1) identify barriers to living shoreline implementation; and (2) create a database of living shoreline projects in Australia based on sources other than scientific literature. Projects included were those that had either a primary or secondary goal of protection of coastal assets from erosion and/or flooding. We identified 138 living shoreline projects in Australia through the means sampled starting in 1970; with the number of projects increasing through time particularly since 2000. Over half of the total projects (59 %) were considered to be successful according to their initial stated objective (i.e., reducing hazard risk) and 18 % of projects could not be assessed for their success based on the information available. Seventy percent of projects received formal or informal monitoring. Even in the absence of peer-reviewed support for living shoreline construction in Australia, we discovered local and regional increases in their use. This suggests that coastal practitioners are learning on-the-ground, however more generally it was stated that few examples of living shorelines are being made available, suggesting a barrier in information sharing among agencies at a broader scale. A database of living shoreline projects can increase knowledge among practitioners globally to develop best practice that informs technical guidelines for different approaches and helps focus attention on areas for further research. © 202
From electroencephalogram data to brain networks : graph-learning-based brain disease diagnosis
No full textBrain networks are built according to the structures or neural activities of different brain regions, which can be modeled as complex networks. Many studies exploit brains from the perspective of graph learning to diagnose the nerve diseases of brains. However, many of these algorithms are unable to automatically construct brain function topology based on electroencephalogram (EEG) and fail to capture the global features of multichannel EEG signals for whole-graph embedding. To address these challenging issues, we propose an attention-based whole-graph learning model for the diagnosis of brain diseases, namely, MAINS, which can adaptively construct brain functional topology from EEG signals and effectively embed multiple node features and the global structural features of brain networks into the whole-graph representations. We validated the model by conducting classification (diagnosis) experiments on real EEG datasets. Comprehensive experimental results demonstrate the superiority of the proposed approach over state-of-the-art methods. © 2001-2011 IEEE
Rescue and recovery : the covid and post-covid responses of apprenticeship systems
Get PDFFew changes have been so abruptly disruptive to apprenticeships worldwide as the global COVID outbreak from early 2020 onwards. Because apprenticeships involve experience in workplaces (normally via employment), as well as participation in education systems, the effects were especially serious. There was extra urgency to policy responses because apprenticeships are disproportionately, and in some countries, exclusively, undertaken by young people. There were no worldwide ‘answers’ as to what to do, as apprenticeship systems vary greatly among countries. The paper examines the development of apprenticeship-related measures in several countries worldwide, with a particular focus on Australia and England. The paper uses statistical data, government announcements, guidance from stakeholders and officials, and also a systematic analysis of presentations by leading country experts at an online international apprenticeship conference in May 2021. Reflecting on common concerns on apprenticeship system, the paper critiques and analyses the effects and potential effects of COVID and post-COVID measures on apprenticeship systems. © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group
A low-cost deep-learning-based system for grading cashew nuts
Get PDFMost of the cashew nuts in the world are produced in the developing countries. Hence, there is a need to have a low-cost system to automatically grade cashew nuts, especially in small-scale farms, to improve mechanization and automation in agriculture, helping reduce the price of the products. To address this issue, in this work we first propose a low-cost grading system for cashew nuts by using the off-the-shelf equipment. The most important but complicated part of the system is its “eye”, which is required to detect and classify the nuts into different grades. To this end, we propose to exploit advantages of both the YOLOv8 and Transformer models and combine them in one single model. More specifically, we develop a module called SC3T that can be employed to integrate into the backbone of the YOLOv8 architecture. In the SC3T module, a Transformer block is dexterously integrated into along with the C3TR module. More importantly, the classifier is not only efficient but also compact, which can be implemented in an embedded device of our developed cashew nut grading system. The proposed classifier, called the YOLOv8–Transformer model, can enable our developed grading system, through a low-cost camera, to correctly detect and accurately classify the cashew nuts into four quality grades. In our grading system, we also developed an actuation mechanism to efficiently sort the nuts according to the classification results, getting the products ready for packaging. To verify the effectiveness of the proposed classifier, we collected a dataset from our sorting system, and trained and tested the model. The obtained results demonstrate that our proposed approach outperforms all the baseline methods given the collected image data. © 2024 by the authors
Advancing FAIR agricultural data : the AgReFed FAIR assessment tool
Get PDFThe FAIR principles provide guidance for improving the findability, accessibility, interoperability and reuse of research data and other digital objects. The Agricultural Research Federation (AgReFed) has developed a FAIR implementation consisting of policies, resources and tools to enable FAIR agricultural data in Australia. It prescribes minimum acceptable data standards and an associated set of FAIR metrics for agricultural research data. Existing FAIR assessment tools were examined and found to have limitations in serving the purposes of AgReFed. The AgReFed FAIR assessment tool addresses these needs with novel features to help improve FAIRness of datasets and other digital resources. By providing the ability to assess and subsequently re-assess datasets while also enabling users to add comments, it facilitates building work lists that support and document the improvement in FAIRness. Other innovative features include customisable FAIR metrics, storage of assessment results, a versioning system and inbuilt help resources. In addition to user-friendly reporting of AgReFed standards compliance, the integrated automated F-UJI FAIR assessment API provides a supplementary set of machine-readable FAIR scores. The AgReFed FAIR Assessment Tool has been deployed for public use and released as open source to help data custodians enact FAIR principles in domains and data communities within and beyond Australian agriculture. © 2024 The Author(s)