| 1. |
- Kattge, Jens, et al.
(författare)
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TRY plant trait database - enhanced coverage and open access
- 2020
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Ingår i: Global Change Biology. - : Wiley-Blackwell. - 1354-1013 .- 1365-2486. ; 26:1, s. 119-188
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Tidskriftsartikel (refereegranskat)abstract
- Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.
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| 2. |
- Aidemark, Jan, 1967-, et al.
(författare)
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Barriers to adoption of eHealth solutions based on research project result
- 2021
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Ingår i: International Journal of Integrated Care. - : Ubiquity Press. - 1568-4156. ; 21:S1
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Tidskriftsartikel (refereegranskat)abstract
- ICT projects, development and/or research driven, are sources of new innovative eHealth solutions. However, the rate of continued use is low and gaining sustainable benefits in daily operations is difficult (Warth et al.). This research looks at the barriers for the organizational implementation based on research driven projects. Three eHealth projects have been analyzed for aspects on the phenomenon, to gain a deeper understanding of the problem. Results are based on discussions between project participants, (professionals, decision makers, patients), and analysis of the project set ups and purposes. ResultsFactors that could be seen as important for lack of continued use includes: pure research setup of projects, lack of financial resources in the post projects time , lack of organizational competences for adoption of solutions, no organizational champion or CEO support, lack of fit to organizational processes or scheduling, professional resistance to change, among others. DiscussionProject set ups and working methods of the project might hamper the possibilities of effective knowledge transfer and organizational adoption. Experiences from mentioned projects show that a 360-degree co-design approach, which includes major stakeholder (for example, professionals, patients, researchers, patients, decisions makers) should be included. There is a need to prepare for knowledge transfer processes in post project phases, including competence development strategies for professionals and organizational change plans. Conclusions A holistic understanding of conditions and challenges is needed for paving the way for health organization to reap benefits from research projects. Lessons learned Projects need to include processes for engaging the stakeholders through 360 co-design, knowledge transfer plans and competence development strategies. Limitations The research is exploratory and based on analysis of past and ongoing eHealth projects. Suggestions for future researchBetter understanding for how to integrating competence development and organizational change as a part of eHealth project are needed. An investigation on digital competence among patients and healthcare personnel is planned, with the purpose of defining competence development strategies and requirements for IT-enabled cooperation and co-production.
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| 3. |
- Akbari, Parsa, et al.
(författare)
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Sequencing of 640,000 exomes identifies GPR75 variants associated with protection from obesity
- 2021
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Ingår i: Science. - : American Association for the Advancement of Science (AAAS). - 0036-8075 .- 1095-9203. ; 373:6550
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Tidskriftsartikel (refereegranskat)abstract
- Large-scale human exome sequencing can identify rare protein-coding variants with a large impact on complex traits such as body adiposity. We sequenced the exomes of 645,626 individuals from the United Kingdom, the United States, and Mexico and estimated associations of rare coding variants with body mass index (BMI). We identified 16 genes with an exome-wide significant association with BMI, including those encoding five brain-expressed G protein-coupled receptors (CALCR, MC4R, GIPR, GPR151, and GPR75). Protein-truncating variants in GPR75 were observed in ∼4/10,000 sequenced individuals and were associated with 1.8 kilograms per square meter lower BMI and 54% lower odds of obesity in the heterozygous state. Knock out of Gpr75 in mice resulted in resistance to weight gain and improved glycemic control in a high-fat diet model. Inhibition of GPR75 may provide a therapeutic strategy for obesity.
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| 4. |
- Albano, Michele, et al.
(författare)
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Energy Saving by Blockchaining Maintenance.
- 2018
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Ingår i: Journal of Industrial Engineering and Management Science. - : River Publishers. - 2446-1822. ; 2018:1, s. 63-88
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Tidskriftsartikel (refereegranskat)abstract
- The development and interest in Industry 4.0 together with rapid development of Cyber Physical Systems has created magnificent opportunities to develop maintenance to a totally new level. The Maintenance 4.0 vision considers massive exploitation of information regarding factories and machines to improve maintenance efficiency and efficacy, for example by facilitating logistics of spare parts, but on the other hand this creates other logistics issues on the data itself, which only exacerbate data management issues that emerge when distributed maintenance platforms scale up. In fact, factories can be delocalized with respect to the data centers, where data has to be transferred to be processed. Moreover, any transaction needs communication, be it related to purchase of spare parts, sales contract, and decisions making in general, and it has to be verified by remote parties. Keeping in mind the current average level of Overall Equipment Efficiency (50%) i.e. there is a hidden factory behind every factory, the potential is huge. It is expected that most of this potential can be realised based on the use of the above named technologies, and relying on a new approach called blockchain technology, the latter aimed at facilitating data and transactions management. Blockchain supports logistics by a distributed ledger to record transactions in a verifiable and permanent way, thus removing the need for multiple remote parties to verify and store every transaction made, in agreement with the first “r” of maintenance (reduce, repair, reuse, recycle). Keeping in mind the total industrial influence on the consumption of natural resources, such as energy, the new technology advancements can allow for dramatic savings, and can deliver important contributions to the green economy that Europe aims for. The paper introduces the novel technologies that can support sustainability of manufacturing and industry at large, and proposes an architecture to bind together said technologies to realise the vision of Maintenance 4.0.
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| 5. |
- Askenäs, Linda, 1972-, et al.
(författare)
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Challenges for a flexible eHealth future : framework and platform for continuous development
- 2019
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Ingår i: Proceedings of the 2019 International Conference on Computational Science and Computational Intelligence (CSCI). - : IEEE. - 9781728155845 ; , s. 987-990
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Konferensbidrag (refereegranskat)abstract
- This paper presents a framework for thedevelopment of flexible eHealth solutions based on a platformlogic and a set of processes for cooperative development. Theframework consists of both a specification detailing the activitiesof the development process and a technical platform integratingsensors, IoT integration data management and end-userinterfaces as well as business and user processes.
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| 6. |
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| 7. |
- Baglee, David, et al.
(författare)
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How can SMEs adopt a new method to advanced maintenance strategies : A Case study approach
- 2018
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Ingår i: Conference Proceedings: 30th International Conference on Condition Monitoring and Diagnostic Engineering Management (COMADEM 2017). - : University of Central Lancashire. - 9781909755154 ; , s. 155-162
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Konferensbidrag (refereegranskat)abstract
- Maintenance is crucial to manufacturing operations. In many organisations, the production equipmentrepresents the majority of invested capital, and deterioration of these facilities and equipment increasesproduction costs, reduces product quality. Over recent years the importance of maintenance, and thereforemaintenance management, within manufacturing organisations has grown. The maintenance function hasbecome an increasingly important and complex activity, particularly as automation increases. Theopportunity exists for many organisations to benefit substantially through improvements to theircompetitiveness and profitability by adopting a new approach to maintenance management. Several toolsand technologies including Condition Based Maintenance (CBM), Reliability Centred Maintenance (RCM)and more recently e-maintenance have developed under the heading of Advanced Maintenance Strategies.However, the adoption of advanced maintenance strategies and their potential benefits are usuallydemonstrated in large organisations. Unfortunately, the majority of organisations are constrained by thelack of knowledge and understanding on the requirements, which need to be in place before adopting anadvanced maintenance strategy. These are usually classified as Small and Medium Sized Enterprises(SMEs).The research strategy is based on ‘empirical iterations’ using survey secondary data, experts’ interviewsinformation and multiple case studies. The results show that there is a set of recommendations, whichstrongly influence the implementation of an Advanced Maintenance Strategy (AMS) with a Small toMedium Enterprise (SME). Organisations require a structured and integrative approach in order to takeadvantage of a new approach to maintenance management. This paper will propose recommendations forintegrating an AMS into the organisation and provide evidence of a successful implementation.
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| 8. |
- Baglee, David, et al.
(författare)
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How Does CBM Function in the Real World?
- 2016
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Ingår i: MFPT 2015 and ISA’s 61st International Instrumentation Symposium, At Dayton. Ohio.
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Konferensbidrag (refereegranskat)abstract
- Manufacturing organizations are under increasing pressure to meet customer and corporate demands by implementing improved maintenance initiatives to reduce costs, improve equipment availability, and protect against failure of critical equipment. Condition Based Maintenance (CBM) is widely accepted and used as a financially effective maintenance strategy which is used to anticipate equipment or component failure. Recent technological advances in component sensitivities, size reductions, and most importantly, cost has opened up an entirely new area of diagnostics. The economic benefit of CBM is achieved if the approach to maintenance is applied to the right equipment and through appropriate tools. In particular the degradation behavior of the equipment needs to be understood to correctly deploy a CBM approach and specific actions to specific equipment or components. Failure modes can be applied to support and optimise the decision making process. Using failure modes can be an efficient low-risk tool process for the prevention of problems, and is referred to as a deductive technique that consists of failure identification in each component. However, the literature is limited regarding the importance and the role of various failure models in different industrial sectors. Thus, if failure models are not known, understood and utilised correctly the use of CBM will not lead to financial benefits. The paper examines the relationship between the failure patterns observed in industrial maintenance practice and the corresponding impact on adoption and potential benefits of Condition-Based Maintenance (CBM). The paper will explain the need for accurate and up to date equipment information to support the correct maintenance approach. The paper suggests the importance of further supporting such investments by appropriately addressing the need to collect relevant data as a basis upon which to make the right decisions.
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| 9. |
- Baglee, David, et al.
(författare)
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Optimizing Condition Monitoring of Big Data Systems
- 2017
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Ingår i: Proceedings of the 2017 International Conference on Data Mining. - : CSREA Press. - 1601324537 ; , s. 127-131
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Konferensbidrag (refereegranskat)abstract
- Industrial communication networks are common in a number of manufacturing organisations. The high availability of these networks is crucial for smooth plant operations. Therefore local and remote diagnostics of these networks is of primary importance in determining issues relating to plant reliability and availability. Condition Monitoring (CM) techniques when connected to a network provide a diagnostic system for remote monitoring of manufacturing equipment. The system monitors the health of the network and the equipment and is therefore able to predict performance. However, this leads to the collection, storage and analyses of large amounts of data, which must provide value. These large data sets are commonly referred to as Big Data. This paper presents a general concept of the use of condition monitoring and big data systems to show how they complement each other to provide valuable data to enhance manufacturing competiveness.
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| 10. |
- Bashtyk, Yuriy, et al.
(författare)
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Computer Monitoring of Physical and Chemical Parameters of the Environment Using Computer Vision Systems : Problems and Prospects
- 2020
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Ingår i: Proceedings of the 3rd International Conference on Informatics & Data-Driven Medicine. ; , s. 437-442
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Konferensbidrag (refereegranskat)abstract
- The paper is devoted to the initial stages of the developing of a system for computer monitoring of environmental physical and chemical parameters usingcomputer vision systems.The way of using specially designed QR codes as optical identifiers for a set of sensors along with the white standard is shown. A number ofmaterials have been considered for use as an optically active sensor environment forsuch monitoring system.
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