Lifestyle management of hypertension : International Society of Hypertension position paper endorsed by the World Hypertension League and European Society of Hypertension
- Authors: Charchar, Fadi , Prestes, Priscilla , Mills, Charlotte , Ching, Siew , Neupane, Dinesh , Marques, Francine , Sharman, James , Vogt, Liffert , Burrell, Louise , Korostovtseva, Lyudmila , Zec, Manja , Patil, Mansi , Schultz, Martin , Wallen, Matthew , Renna, Nicolás , Islam, Sheikh , Hiremath, Swapnil , Gyeltshen, Tshewang , Chia, Yook-Chin , Gupta, Abhinav , Schutte, Aletta , Klein, Britt , Borghi, Claudio , Browning, Colette , Czesnikiewicz-Guzik, Marta , Lee, Hae-Young , Itoh, Hiroshi , Miura, Katsuyuki , Akinnibosun, Olutope , Shane Thomas
- Date: 2024
- Type: Text , Journal article
- Relation: Journal of hypertension Vol. 42, no. 1 (2024), p. 23-49
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- Description: Hypertension, defined as persistently elevated systolic blood pressure (SBP) >140 mmHg and/or diastolic blood pressure (DBP) at least 90 mmHg (International Society of Hypertension guidelines), affects over 1.5 billion people worldwide. Hypertension is associated with increased risk of cardiovascular disease (CVD) events (e.g. coronary heart disease, heart failure and stroke) and death. An international panel of experts convened by the International Society of Hypertension College of Experts compiled lifestyle management recommendations as first-line strategy to prevent and control hypertension in adulthood. We also recommend that lifestyle changes be continued even when blood pressure-lowering medications are prescribed. Specific recommendations based on literature evidence are summarized with advice to start these measures early in life, including maintaining a healthy body weight, increased levels of different types of physical activity, healthy eating and drinking, avoidance and cessation of smoking and alcohol use, management of stress and sleep levels. We also discuss the relevance of specific approaches including consumption of sodium, potassium, sugar, fibre, coffee, tea, intermittent fasting as well as integrated strategies to implement these recommendations using, for example, behaviour change-related technologies and digital tools. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliates “Fadi Charchar, Priscilla Prestes, Britt Klein, Colette Browning, Olutope Akinnibosun and Shane Thomas” are provided in this record**
- Description: Hypertension, defined as persistently elevated systolic blood pressure (SBP) >140 mmHg and/or diastolic blood pressure (DBP) at least 90 mmHg (International Society of Hypertension guidelines), affects over 1.5 billion people worldwide. Hypertension is associated with increased risk of cardiovascular disease (CVD) events (e.g. coronary heart disease, heart failure and stroke) and death. An international panel of experts convened by the International Society of Hypertension College of Experts compiled lifestyle management recommendations as first-line strategy to prevent and control hypertension in adulthood. We also recommend that lifestyle changes be continued even when blood pressure-lowering medications are prescribed. Specific recommendations based on literature evidence are summarized with advice to start these measures early in life, including maintaining a healthy body weight, increased levels of different types of physical activity, healthy eating and drinking, avoidance and cessation of smoking and alcohol use, management of stress and sleep levels. We also discuss the relevance of specific approaches including consumption of sodium, potassium, sugar, fibre, coffee, tea, intermittent fasting as well as integrated strategies to implement these recommendations using, for example, behaviour change-related technologies and digital tools. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliates “Fadi Charchar, Priscilla Prestes, Britt Klein, Colette Browning, Olutope Akinnibossun and Shane Thomas” are provided in this record**
A blockchain-based deep-learning-driven architecture for quality routing in wireless sensor networks
- Authors: Khan, Zahoor , Amjad, Sana , Ahmed, Farwa , Almasoud, Abdullah , Imran, Muhammad , Javaid, Nadeem
- Date: 2023
- Type: Text , Journal article
- Relation: IEEE Access Vol. 11, no. (2023), p. 31036-31051
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- Description: Over the past few years, great importance has been given to wireless sensor networks (WSNs) as they play a significant role in facilitating the world with daily life services like healthcare, military, social products, etc. However, heterogeneous nature of WSNs makes them prone to various attacks, which results in low throughput, and high network delay and high energy consumption. In the WSNs, routing is performed using different routing protocols like low-energy adaptive clustering hierarchy (LEACH), heterogeneous gateway-based energy-aware multi-hop routing (HMGEAR), etc. In such protocols, some nodes in the network may perform malicious activities. Therefore, four deep learning (DL) techniques and a real-time message content validation (RMCV) scheme based on blockchain are used in the proposed network for the detection of malicious nodes (MNs). Moreover, to analyse the routing data in the WSN, DL models are trained on a state-of-the-art dataset generated from LEACH, known as WSN-DS 2016. The WSN contains three types of nodes: sensor nodes, cluster heads (CHs) and the base station (BS). The CHs after aggregating the data received from the sensor nodes, send it towards the BS. Furthermore, to overcome the single point of failure issue, a decentralized blockchain is deployed on CHs and BS. Additionally, MNs are removed from the network using RMCV and DL techniques. Moreover, legitimate nodes (LNs) are registered in the blockchain network using proof-of-authority consensus protocol. The protocol outperforms proof-of-work in terms of computational cost. Later, routing is performed between the LNs using different routing protocols and the results are compared with original LEACH and HMGEAR protocols. The results show that the accuracy of GRU is 97%, LSTM is 96%, CNN is 92% and ANN is 90%. Throughput, delay and the death of the first node are computed for LEACH, LEACH with DL, LEACH with RMCV, HMGEAR, HMGEAR with DL and HMGEAR with RMCV. Moreover, Oyente is used to perform the formal security analysis of the designed smart contract. The analysis shows that blockchain network is resilient against vulnerabilities. © 2013 IEEE.
A brief guide to multi-objective reinforcement learning and planning JAAMAS track
- Authors: Hayes, Conor , Bargiacchi, Eugenio , Källström, Johan , Macfarlane, Matthew , Reymond, Mathieu , Verstraeten, Timothy , Zintgraf, Luisa , Dazeley, Richard , Heintz, Frederik , Howley, Enda , Irissappane, Aathirai , Mannion, Patrick , Nowé, Ann , Ramos, Gabriel , Restelli, Marcello , Vamplew, Peter , Roijers, Diederik
- Date: 2023
- Type: Text , Conference paper
- Relation: 22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023, London, 29 May to 2 June 2023, Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS Vol. 2023-May, p. 1988-1990
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- Description: Real-world sequential decision-making tasks are usually complex, and require trade-offs between multiple - often conflicting - objectives. However, the majority of research in reinforcement learning (RL) and decision-theoretic planning assumes a single objective, or that multiple objectives can be handled via a predefined weighted sum over the objectives. Such approaches may oversimplify the underlying problem, and produce suboptimal results. This extended abstract outlines the limitations of using a semi-blind iterative process to solve multi-objective decision making problems. Our extended paper [4], serves as a guide for the application of explicitly multi-objective methods to difficult problems. © 2023 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
A community-wide approach to reducing risky drinking cultures in young people in rural Australia
- Authors: Murphy, Angela , Ollerenshaw, Alison
- Date: 2023
- Type: Text , Journal article
- Relation: Australian Journal of Rural Health Vol. 31, no. 2 (2023), p. 204-217
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- Description: Objective: This study evaluated the impact of a multi-faceted, harm minimisation program addressing youth alcohol change and risky drinking behaviours in rural Australia. The role and influence of a multi-tiered community approach to changing alcohol cultures is examined. Setting: An alcohol culture change project for young people (12–18 years) was implemented in rural Victoria. It was informed by the Alcohol Cultures Framework, comprising community-wide events and youth-focused activities, co-designed with young people. The approach aimed at maximising engagement and reducing alcohol-related harm by targeting the shared activities and drinking practices of young people, parents and the community. Participants: Participants (n = 446) provided feedback specific to three key program activities for promoting alcohol change. Design: Mixed methods: Feedback sheets were collected, and interviews and focus groups were conducted with program participants. Results: Participants indicated that the program had informed their understanding of the way people in their region drink, and the social norms and practices around alcohol that encourage risky drinking. It influenced their short- and medium-term reactions, learnings and activities relating to alcohol consumption. The impact of the program was greatest in adults than young people although reflective learning and some behaviour change were evident across all age groups and community clusters. Conclusion: Community-wide health promotion events offer participants a deeper understanding of the ways in which dominant alcohol cultures inform the practices and activities of young people within a broader community context. Ensuring health promotion programs within a whole-of-community approach are established longer term, is recommended. © 2022 The Authors. Australian Journal of Rural Health published by John Wiley & Sons Australia, Ltd on behalf of National Rural Health Alliance Ltd.
A conceptual framework for externally-influenced agents: an assisted reinforcement learning review
- Authors: Bignold, Adam , Cruz, Francisco , Taylor, Matthew , Brys, Tim , Dazeley, Richard , Vamplew, Peter , Foale, Cameron
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Ambient Intelligence and Humanized Computing Vol. 14, no. 4 (2023), p. 3621-3644
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- Description: A long-term goal of reinforcement learning agents is to be able to perform tasks in complex real-world scenarios. The use of external information is one way of scaling agents to more complex problems. However, there is a general lack of collaboration or interoperability between different approaches using external information. In this work, while reviewing externally-influenced methods, we propose a conceptual framework and taxonomy for assisted reinforcement learning, aimed at fostering collaboration by classifying and comparing various methods that use external information in the learning process. The proposed taxonomy details the relationship between the external information source and the learner agent, highlighting the process of information decomposition, structure, retention, and how it can be used to influence agent learning. As well as reviewing state-of-the-art methods, we identify current streams of reinforcement learning that use external information in order to improve the agent’s performance and its decision-making process. These include heuristic reinforcement learning, interactive reinforcement learning, learning from demonstration, transfer learning, and learning from multiple sources, among others. These streams of reinforcement learning operate with the shared objective of scaffolding the learner agent. Lastly, we discuss further possibilities for future work in the field of assisted reinforcement learning systems. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
A depth-based hybrid approach for safe flight corridor generation in memoryless planning
- Authors: Nguyen, Thai , Murshed, Mamzur , Choudhury, Tanveer , Keogh, Kathleen , Kahandawa Appuhamillage, Gayan , Nguyen, Linh
- Date: 2023
- Type: Text , Journal article
- Relation: Sensors Vol. 23, no. 16 (2023), p.
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- Description: This paper presents a depth-based hybrid method to generate safe flight corridors for a memoryless local navigation planner. It is first proposed to use raw depth images as inputs in the learning-based object-detection engine with no requirement for map fusion. We then employ an object-detection network to directly predict the base of polyhedral safe corridors in a new raw depth image. Furthermore, we apply a verification procedure to eliminate any false predictions so that the resulting collision-free corridors are guaranteed. More importantly, the proposed mechanism helps produce separate safe corridors with minimal overlap that are suitable to be used as space boundaries for path planning. The average intersection of union (IoU) of corridors obtained by the proposed algorithm is less than 2%. To evaluate the effectiveness of our method, we incorporated it into a memoryless planner with a straight-line path-planning algorithm. We then tested the entire system in both synthetic and real-world obstacle-dense environments. The obtained results with very high success rates demonstrate that the proposed approach is highly capable of producing safe corridors for memoryless local planning. © 2023 by the authors.
A framework for adoption decision process for blockchain technology - an institutional and actor-network theory perspective
- Authors: Kaushik, Shipra
- Date: 2023
- Type: Text , Thesis , PhD
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- Description: Blockchain has been the most promising technology of the recent times. Originated from bitcoin, a blockchain technology use case has now been explored across almost every industry. It provides several novel technological features like transparency, disintermediation, immutability, trust among stakeholders and decentralisation. Despite so many advantages, the overview of challenges around blockchain adoption has revealed that there is a scarcity of understanding about the process of blockchain adoption decisions. Several organisations have failed to take advantage of blockchain's potential due to uneven adoption across industries and regions. Whether to use blockchain in their business is a difficult decision for many organisations. To fill this gap, this study examined the adoption decision process of blockchain in organisations. Firstly, there is a need of framework that details the steps in the blockchain adoption decision process, including tasks involved and the rationales for the actions taken. This understanding will help the potential adopters to make a successful decision to adopt blockchain technology for their organisation. Secondly, very few studies have examined the factors that influence the stakeholders’ interactions and dynamics while making technology adoption decisions, especially in blockchain based applications. When systems are designed to protect privacy or obscure actors intentionally, such as blockchain platforms, it can be challenging to identify them and understand their roles. Blockchain being an inter-organisational technology, primarily depends on the involvement of internal and external stakeholders. Thus, this study explored the actors involved in the adoption decision process and their roles while aligning other actors towards blockchain adoption. Thirdly, as these actors act as stakeholders while making decision, they act as rational individuals. Therefore, this study also explored their rationales while they are involved in technology adoption decisions to have an effective outcome of the decision-making process. To achieve these objectives, this study utilises Innovation Translation approach derived from Actor-Network Theory and Institutional Theory for technology adoption. The study has utilised a three- round qualitative Delphi method through semi structured interviews to gather views from a panel of experts from organisations who have experienced the blockchain adoption decision process for their business. The targeted experts for this study were categorized as Adopters, Non-Adopters (dropped the idea) and Consultants using selective purposive sampling. The first two rounds were exploratory in nature, and to extend the validity of the responses gathered, the final round was a confirmatory round of interviews. For this study, the saturation was seen with ten experts in the panel for round 2 and round 3. For the pilot study eight participants agreed to be part of the panel. The interviews were recorded, transcribed and analysed using thematic analysis in the NVivo tool. The analysis confirmed the use of Innovation Translation approach in literature for understanding the actors and their roles, by giving a rich interpretation of the results in understanding the crucial interactions among the actors and drawing useful findings. The interpretation also provided an insight into the institutionalisation of blockchain by exploring the institutional pressures. The study has confirmed the existence of many pressures that existed for other technologies, remain for blockchain adoption too like hype, curiosity, competitiveness, business value, cost and time but has explored new institutional pressures with blockchain adoption decision process like understanding among consultants and adopting organisations, and process participations needs. Utilising Institutional Theory for blockchain technology has also revealed a fourth pressure that is exerted by the technology itself like maturity, consensus, network dominancy and technological features that are primarily seen as blockchain being an inter-organisational and a new technology that has not been accepted widely in organisations. Achieving the objectives of this study, the study has proposed a consolidated framework for the blockchain adoption decision process from an exploratory view. The first of its kind in literature, that elaborates on the stages involved in blockchain adoption decision process, identify the actors and explains their role at each stage and how those roles evolve and also provides an insight into the institutionalisation of blockchain by exploring the pressures. These gaps, objectives, method, analysis, and contributions are further discussed in this thesis comprehensively.
- Description: Doctor of Philosophy
A fully automated self-help biopsychosocial transdiagnostic digital intervention to reduce anxiety and/or depression and improve emotional regulation and well-being: pre-follow-up single-arm feasibility trial
- Authors: Klein, Britt , Nguyen, Huy , McLaren, Suzanne , Andrews, Brooke , Shandley, Kerrie
- Date: 2023
- Type: Text , Journal article
- Relation: JMIR Formative Research Vol. 7, no. (2023), p.
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- Description: Background: Anxiety disorders and depression are prevalent disorders with high comorbidity, leading to greater chronicity and severity of symptoms. Given the accessibility to treatment issues, more evaluation is needed to assess the potential benefits of fully automated self-help transdiagnostic digital interventions. Innovating beyond the current transdiagnostic one-size-fits-all shared mechanistic approach may also lead to further improvements. Objective: The primary objective of this study was to explore the preliminary effectiveness and acceptability of a new fully automated self-help biopsychosocial transdiagnostic digital intervention (Life Flex) aimed at treating anxiety and/or depression, as well as improving emotional regulation; emotional, social, and psychological well-being; optimism; and health-related quality of life. Methods: This was a real-world pre-during-post-follow-up feasibility trial design evaluation of Life Flex. Participants were assessed at the preintervention time point (week 0), during intervention (weeks 3 and 5), at the postintervention time point (week 8), and at 1- and 3-month follow-ups (weeks 12 and 20, respectively). Results: The results provided early support for the Life Flex program in reducing anxiety (Generalized Anxiety Disorder 7), depression (Patient Health Questionnaire 9), psychological distress (Kessler 6), and emotional dysregulation (Difficulties in Emotional Regulation 36) and increasing emotional, social, and psychological well-being (Mental Health Continuum-Short Form); optimism (Revised Life Orientation Test); and health-related quality of life (EQ-5D-3L Utility Index and Health Rating; all false discovery rate [FDR] < .001). Large within-group treatment effect sizes (range |d|=0.82 to 1.33) were found for most variables from pre- to postintervention assessments and at the 1- and 3-month follow-up. The exceptions were medium treatment effect sizes for EQ-5D-3L Utility Index (range Cohen d=
A literature review of the positive displacement compressor : current challenges and future opportunities
- Authors: Lu, Kui , Sultan, Ibrahim , Phung, Truong
- Date: 2023
- Type: Text , Journal article , Review
- Relation: Energies Vol. 16, no. 20 (2023), p.
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- Description: Positive displacement compressors are essential in many engineering systems, from domestic to industrial applications. Many studies have been devoted to providing more insights into the workings and proposing solutions for performance improvements of these machines. This study aims to present a systematic review of published research on positive displacement compressors of various geometrical structures. This paper discusses the literature on compressor topics, including leakage, heat transfer, friction and lubrication, valve dynamics, port characteristics, and capacity control strategies. Moreover, the current status of the application of machine learning methods in positive displacement compressors is also discussed. The challenges and opportunities for future work are presented at the end of the paper. © 2023 by the authors.
A longitudinal study on a place-based school-university partnership : listening to the voices of in-service teachers
- Authors: Ma, Hongming , Green, Monica
- Date: 2023
- Type: Text , Journal article
- Relation: Teaching and Teacher Education Vol. 129, no. (2023), p.
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- Description: This paper reports on a longitudinal place-based study by two Australian teacher educators investigating their three-year science-based school-university partnership. The study examined key benefits, challenges, and tensions within the partnership. Data collection was drawn from focus group interviews with in-service teachers across each partnership year. While findings portray the partnership as a catalyst for increased science learning opportunities for school students, teaching opportunities for pre-service teachers, and new in-service teacher roles and responsibilities, the study highlights the evolving nature of partnership development, including the need for continuous negotiation of labor division and stakeholder expectations. © 2023 The Authors
A nethack learning environment language wrapper for autonomous agents
- Authors: Goodger, Nikolaj , Vamplew, Peter , Foale, Cameron , Dazeley, Richard
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Open Research Software Vol. 11, no. (2023), p.
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- Description: This paper describes a language wrapper for the NetHack Learning Environment (NLE) [1]. The wrapper replaces the non-language observations and actions with comparable language versions. The NLE offers a grand challenge for AI research while MiniHack [2] extends this potential to more specific and configurable tasks. By providing a language interface, we can enable further research on language agents and directly connect language models to a versatile environment. © 2023 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.
A novel dynamic software-defined networking approach to neutralize traffic burst
- Authors: Sharma, Aakanksha , Balasubramanian, Venki , Kamruzzaman, Joarder
- Date: 2023
- Type: Text , Journal article
- Relation: Computers Vol. 12, no. 7 (2023), p.
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- Description: Software-defined networks (SDN) has a holistic view of the network. It is highly suitable for handling dynamic loads in the traditional network with a minimal update in the network infrastructure. However, the standard SDN architecture control plane has been designed for single or multiple distributed SDN controllers facing severe bottleneck issues. Our initial research created a reference model for the traditional network, using the standard SDN (referred to as SDN hereafter) in a network simulator called NetSim. Based on the network traffic, the reference models consisted of light, modest and heavy networks depending on the number of connected IoT devices. Furthermore, a priority scheduling and congestion control algorithm is proposed in the standard SDN, named extended SDN (eSDN), which minimises congestion and performs better than the standard SDN. However, the enhancement was suitable only for the small-scale network because, in a large-scale network, the eSDN does not support dynamic SDN controller mapping. Often, the same SDN controller gets overloaded, leading to a single point of failure. Our literature review shows that most proposed solutions are based on static SDN controller deployment without considering flow fluctuations and traffic bursts that lead to a lack of load balancing among the SDN controllers in real-time, eventually increasing the network latency. Therefore, to maintain the Quality of Service (QoS) in the network, it becomes imperative for the static SDN controller to neutralise the on-the-fly traffic burst. Thus, our novel dynamic controller mapping algorithm with multiple-controller placement in the SDN is critical to solving the identified issues. In dSDN, the SDN controllers are mapped dynamically with the load fluctuation. If any SDN controller reaches its maximum threshold, the rest of the traffic will be diverted to another controller, significantly reducing delay and enhancing the overall performance. Our technique considers the latency and load fluctuation in the network and manages the situations where static mapping is ineffective in dealing with the dynamic flow variation. © 2023 by the authors.
A pilot comparison of fixatives for hookworm real-time polymerase chain reaction
- Authors: Bradbury, Richard , Inagaki, Kengo , Singh, Gurbaksh , Agana, Urita , Patterson, Kayla , Malloch, Lacy , Rodriguez, Eduardo , Qvarnstrom, Yvonne , Hobbs, Charlotte
- Date: 2023
- Type: Text , Journal article
- Relation: American Journal of Tropical Medicine and Hygiene Vol. 108, no. 2 (2023), p. 335-339
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- Description: Polymerase chain reaction (PCR) is increasingly used in the diagnosis of soil-transmitted helminth infections. Despite this, few studies have evaluated the impact of different fecal fixatives on the outcome of fecal helminth qPCR analysis, and none have evaluated the effect of commercial parasitology fixatives commonly used in diagnostic laboratories. We fixed dog feces containing Ancylostoma spp. hookworm eggs in zinc polyvinyl alcohol (Zn-PVA) and Total-Fix, and with 70% ethanol (EtOH) as a control. DNA was extracted at timepoints 11, 33, 64, and 94 days and subjected to Ancylostoma spp. quantitative PCR (qPCR). A linear regression model was created to assess the effect of preservative types on the temporal change of qPCR quantification cycle number (Cq) values, accounting for variances among individual animals. Fixation in 70% EtOH least affected Cq values over 94 days. Total-Fix preservation yielded a higher Cq overall, but there was no significant difference compared with 70% EtOH fixation. Fixation in Zn-PVA resulted in significantly (P < 0.001) higher Cq values than 70% EtOH after only 33 days and loss of amplification at 64 days. Consistent with other helminth fixation studies, 70% EtOH performed well in preserving hookworm DNA over 94 days. Total-Fix provided a comparable alternative for qPCR analysis for hookworm. Fixation in Zn-PVA resulted in loss of detectable hookworm DNA at 64 days, as determined by qPCR. Copyright © 2023 The American Society of Tropical Medicine and Hygiene.
A reevaluation of the factor structure, reliability, and validity of the spiritual well-being questionnaire (SWBQ)
- Authors: Gomez, Rapson , Watson, Shaun
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Religion and Health Vol. 62, no. 3 (2023), p. 2112-2130
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- Description: The 20-item Gomez and Fisher (Personal Individ Differ 35:1975–1991, 2003) Spiritual Well-Being Questionnaire (SWBQ) is a widely used measure of spiritual well-being. Its theoretical model is a higher-order model with primary factors for personal, communal, environmental, and transcendental well-being, and a secondary global spiritual well-being factor. The current study, conducted in Australia, reevaluated the factor structure of the SWBQ. Unlike previous studies, the current study also used exploratory structural equation modeling (ESEM) to examine the factor structure of the SWBQ and selected the preferred model using not only global model fit values, but also the clarity, reliabilities, and validities of the factors in the models. A total of 227 adults (males = 63; females = 164; M age = 26.1 years; SD = 5.2 years) completed the SWBQ. Based on the model selection criteria applied in the study, the ESEM model with four group factors was selected as the preferred model. However, there was also adequate support for the proposed theoretical higher-order model and the first-order oblique model with the four well-being factors. Concerning our preferred model, its factors showed reasonable clarity for factor loadings and (omega) reliabilities. However, only the communal domain scale was supported empirically for external validity. The implications of the findings for the theoretical model, the use of the SWBQ, and future studies are discussed. In this respect, there are three potential models (theorized higher-order model, 4-factor first-order oblique model, and the ESEM model proposed in this study) that warrant further detailed investigation with a larger, more representative population and additional validation measures. © 2022, The Author(s).
A smart healthcare framework for detection and monitoring of COVID-19 using IoT and cloud computing
- Authors: Nasser, Nidal , Emad-ul-Haq, Qazi , Imran, Muhammad , Ali, Asmaa , Razzak, Imran , Al-Helali, Abdulaziz
- Date: 2023
- Type: Text , Journal article
- Relation: Neural Computing and Applications Vol. 35, no. 19 (2023), p. 13775-13789
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- Description: Coronavirus (COVID-19) is a very contagious infection that has drawn the world’s attention. Modeling such diseases can be extremely valuable in predicting their effects. Although classic statistical modeling may provide adequate models, it may also fail to understand the data’s intricacy. An automatic COVID-19 detection system based on computed tomography (CT) scan or X-ray images is effective, but a robust system design is challenging. In this study, we propose an intelligent healthcare system that integrates IoT-cloud technologies. This architecture uses smart connectivity sensors and deep learning (DL) for intelligent decision-making from the perspective of the smart city. The intelligent system tracks the status of patients in real time and delivers reliable, timely, and high-quality healthcare facilities at a low cost. COVID-19 detection experiments are performed using DL to test the viability of the proposed system. We use a sensor for recording, transferring, and tracking healthcare data. CT scan images from patients are sent to the cloud by IoT sensors, where the cognitive module is stored. The system decides the patient status by examining the images of the CT scan. The DL cognitive module makes the real-time decision on the possible course of action. When information is conveyed to a cognitive module, we use a state-of-the-art classification algorithm based on DL, i.e., ResNet50, to detect and classify whether the patients are normal or infected by COVID-19. We validate the proposed system’s robustness and effectiveness using two benchmark publicly available datasets (Covid-Chestxray dataset and Chex-Pert dataset). At first, a dataset of 6000 images is prepared from the above two datasets. The proposed system was trained on the collection of images from 80% of the datasets and tested with 20% of the data. Cross-validation is performed using a tenfold cross-validation technique for performance evaluation. The results indicate that the proposed system gives an accuracy of 98.6%, a sensitivity of 97.3%, a specificity of 98.2%, and an F1-score of 97.87%. Results clearly show that the accuracy, specificity, sensitivity, and F1-score of our proposed method are high. The comparison shows that the proposed system performs better than the existing state-of-the-art systems. The proposed system will be helpful in medical diagnosis research and healthcare systems. It will also support the medical experts for COVID-19 screening and lead to a precious second opinion. © 2021, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.
A step toward restoring hand functions in patients with multiple sclerosis—a study protocol
- Authors: Zoghi, Maryam , Jaberzadeh, Shapour
- Date: 2023
- Type: Text , Journal article
- Relation: Frontiers in Rehabilitation Sciences Vol. 4, no. (2023), p.
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- Description: Multiple sclerosis (MS) is a chronic autoimmune disease characterized by inflammation, demyelination of axons, and oligodendrocyte loss in the central nervous system. This leads to neurological dysfunction, including hand impairment, which is prevalent among patients with MS. However, hand impairment is the least targeted area for neurorehabilitation studies. Therefore, this study proposes a novel approach to improve hand functions compared to current strategies. Studies have shown that learning new skills in the motor cortex (M1) can trigger the production of oligodendrocytes and myelin, which is a critical mechanism for neuroplasticity. Transcranial direct current stimulation (tDCS) has been used to enhance motor learning and function in human subjects. However, tDCS induces non-specific effects, and concurrent behavioral training has been found to optimize its benefits. Recent research indicates that applying tDCS during motor learning can have priming effects on the long-term potentiation mechanism and prolong the effects of motor training in health and disease. Therefore, this study aims to assess whether applying repeated tDCS during the learning of a new motor skill in M1 can be more effective in improving hand functions in patients with MS than current neurorehabilitation strategies. If this approach proves successful in improving hand functions in patients with MS, it could be adopted as a new approach to restore hand functions. Additionally, if the application of tDCS demonstrates an accumulative effect in improving hand functions in patients with MS, it could provide an adjunct intervention during rehabilitation for these patients. This study will contribute to the growing body of literature on the use of tDCS in neurorehabilitation and could have a significant impact on the quality of life of patients with MS. 2023 Zoghi and Jaberzadeh.
A study on critical failure factors of Design for Six Sigma in Indian companies : results from a pilot survey
- Authors: Bhat, Shreeranga , Antony, Jiju , Gijo, E. , Koul, Rajesh , Cudney, Elizabeth , Chakraborty, Ayon
- Date: 2023
- Type: Text , Journal article
- Relation: TQM Journal Vol. 35, no. 4 (2023), p. 1072-1093
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- Description: Purpose: While Six Sigma (SS) has been deployed effectively in Indian manufacturing and service sectors as a process improvement methodology, the implementation of Design for Six Sigma (DFSS) for robust product and service development has not shown noticeable results. Therefore, this article aims to determine the critical failure factors (CFFs) of DFSS in the Indian context. Design/methodology/approach: The paper presents the results of a pilot survey on the CFFs of DFSS in Indian companies. The survey participants were specialists in DFSS who have been involved in DFSS projects in their past and present companies. Moreover, the pilot study participants were DFSS Champions, Master Black Belts, Black Belts and Green Belts from the manufacturing and service sectors. Findings: Company-wide applications of DFSS are very limited in India. Most of the DFSS project failures are reported in the Analyse phase of the project. The results indicated that all 18 CFFs used in the survey have a significant impact on project failures. Also, it was determined that all CFFs are positively correlated with each other. Further, a strong correlation was observed between the voice of the customer (VOC) and project selection and prioritisation. In addition, effective training showed a strong correlation with the right selection of tools. Research limitations/implications: The pilot survey was based on a limited sample size. Moreover, the study is confined to only the Indian context and data were collected through the authors' networks. However, respondents were proficient, certified and involved in DFSS project deployment in the manufacturing and service sectors. Therefore, the study's findings are useful and meaningful to draw robust inferences. Originality/value: To the best of the authors' knowledge, this is the first empirical study conducted in the Indian context to identify the reasons for DFSS project failures. The study's findings can aid academicians and practitioners in comprehending and critically examining the CFFs of DFSS before executing a project. Moreover, the research outcome motivates policymakers to create an ecosystem to effectively adopt DFSS for start-ups and micro, small and medium enterprises (MSME) to ensure a circular economy and support the “Atmanirbhar Bharat” initiative. © 2022, Emerald Publishing Limited.
A systematic literature review of workplace physical activity programs : an exploration of barriers and enabling factors
- Authors: Dabkowski, Elissa , Porter, Joanne , Barbagallo, Michael , Prokopiv, Val , Snell, Christopher , Missen, Karen
- Date: 2023
- Type: Text , Journal article , Review
- Relation: Cogent Psychology Vol. 10, no. 1 (2023), p.
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- Description: Physical inactivity continues to be a global issue with many adolescents and adults failing to meet the recommendations for daily exercise. Efforts to reduce physical inactivity in adults include the incorporation of strategies such as workplace physical activity programs, especially for sedentary workers. In this systematic literature review we examined current literature about the efficacy of workplace physical activity programs, as well as the barriers and enablers to these programs. Six EBSCO databases were searched (Academic Search Complete, CINAHL Complete, MEDLINE, APA PsycInfo, APA PsycArticles and SPORTDiscus with full text) between a ten year period (2011 to 2021). The search terms used were “physical activity”, “workplace” and “program” along with their variations. Following a systematic process, eighteen papers met the eligibility criteria. The authors analysed the findings using a narrative synthesis, in which four themes emerged from the data. These include Benefits to physical health, Benefits to mental health, Barriers to workplace physical activity and Workplace activity enablers. These findings provided several recommendations for organizations that endeavour to improve the health of workplace employees. Generalised workplace physical activity programs were viewed favourably by both employees and employers. Incorporating these practices into daily work structures may provide favourable outcomes such as increased work productivity and reduced physical inactivity. © 2023 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.
A systematic review of preceptor's experience in supervising undergraduate nursing students : lessons learned for mental health nursing
- Authors: Benny, Jessy , Porter, Joanne , Joseph, Bindu
- Date: 2023
- Type: Text , Journal article , Review
- Relation: Nursing Open Vol. 10, no. 4 (2023), p. 2003-2014
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- Description: Background: Preceptorship in nursing has been a valued concept in nursing. Speciality area such as mental health nursing has a massive gap in research study. To develop sturdy mental health nursing workforce, it is necessary to conduct more studies. Aim: This literature review aims to explore preceptor's experience in precepting undergraduate nursing students in mental health. Design: Systematic review of literature. Methods: The systematic review was conducted from January 2021 to August 2021. Population of the studies included Registered Nurses supervising nursing students in the clinical area. Only studies conducted in English were included. A systematic search using EBSCO Host databases, CINAHL Complete, MEDLINE APA Psycinfo & APA PsycArticles, has been used in this review paper. Papers were also selected from the citation reference of included papers. The new version of the PRISMA 2020 guidelines used to represent the process of selection of papers has been incorporated as part of this review. The final set of data included 14 original papers meeting the eligibility criteria which involved quantitative (n = 5), qualitative (n = 4) and mixed-method studies (n = 5). Result: Results were presented under three major themes: time-consuming, lack of recognition and need extra support. Further research is required in the mental health clinical setting to effectively explore the impact of relationships between preceptors and the preceptees. Conclusion: Preceptors reported supervising students in the clinical area has many benefits. However, some challenges they raised were increase in workload, requiring some guidance and acknowledgement from the organization. © 2022 The Authors. Nursing Open published by John Wiley & Sons Ltd.
A systematic review of wheelchair and mobility scooter containment systems used internationally on public transit buses
- Authors: Unsworth, Carolyn , Timmer, Amanda
- Date: 2023
- Type: Text , Journal article , Review
- Relation: International Journal of Environmental Research and Public Health Vol. 20, no. 20 (2023), p.
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- Description: Despite the daily need for people to travel on public transit buses using their wheeled mobility devices, relatively little information is available regarding the most efficacious, affordable, and independent approaches to assist passengers with keeping their mobility devices in the designated wheelchair access space. A systematic review was undertaken to summarize this literature, place it within a geographical and temporal context, appraise its quality, and establish common themes. Key academic and grey literature transportation databases and government websites searched from 1990 to May 2022 identified 33 documents, which were appraised using the Mixed Methods Appraisal Tool (MMAT) or the Authority, Accuracy, Coverage, Objectivity, Date, Significance (AACODS) tool. Overall, the documents included were of good quality. The literature retrieved focused on the development and testing of the active containment systems favored for use in North America with a contrastingly small examination of the effectiveness of passive or semi-passive containment systems. Almost no literature was retrieved in English from European researchers documenting the use or effectiveness of rearward-facing passive systems. While tip or slide events are relatively rare among mobility device users, the effective use of containment systems is vital to minimize these. Further research is required to support transport policy makers, operators, and bus drivers to identify and correctly implement optimal containment systems to promote safety for all passengers on public buses. © 2023 by the authors.