scholarly journals Where concepts meet the real world: A systematic review of ecosystem service indicators and their classification using CICES

2018 ◽  
Vol 29 ◽  
pp. 145-157 ◽  
Author(s):  
Bálint Czúcz ◽  
Ildikó Arany ◽  
Marion Potschin-Young ◽  
Krisztina Bereczki ◽  
Miklós Kertész ◽  
...  
2018 ◽  
Vol 32 (12) ◽  
pp. 2126-2133 ◽  
Author(s):  
B. Strober ◽  
J. Crowley ◽  
R.G. Langley ◽  
K. Gordon ◽  
A. Menter ◽  
...  

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 708 ◽  
Author(s):  
Samuel Marcos-Pablos ◽  
Francisco García-Peñalvo

Applying the concepts of technological ecosystems to the care and assistance domain is an emerging field that has gained interest during the last years, as they allow to describe the complex relationships between actors in a technologically boosted care domain. In that context, this paper presents a systematic review and mapping of the literature to identify, analyse and classify the published research carried out to provide care and assistance services under a technological ecosystems’ perspective. Thirty-seven papers were identified in the literature as relevant and analysed in detail (between 2003–2018). The main findings show that it is indeed an emerging field, as few of the found ecosystem proposals have been developed in the real world nor have they been tested with real users. In addition, a lot of research to date reports the proposal of platform-centric architectures developed over existing platforms not specifically developed for care and services provision. Employed sensor technologies for providing services have very diverse natures depending on the intended services to be provided. However, many of these technologies do not take into account medical standards. The degree of the ecosystems’ openness to adding new devices greatly depends on the approach followed, such as the type of middleware considered. Thus, there is still much work to be done in order to equate other more established ecosystems such as business or software ecosystems.


Author(s):  
Francis Nissen ◽  
Marc Humbert ◽  
Peter Gibson ◽  
Konstantinos Kostikas ◽  
Xavier Jaumont ◽  
...  

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1491
Author(s):  
Mahesh Ranaweera ◽  
Qusay H. Mahmoud

Machine learning has become an important research area in many domains and real-world applications. The prevailing assumption in traditional machine learning techniques, that training and testing data should be of the same domain, is a challenge. In the real world, gathering enough training data to create high-performance learning models is not easy. Sometimes data are not available, very expensive, or dangerous to collect. In this scenario, the concept of machine learning does not hold up to its potential. Transfer learning has recently gained much acclaim in the field of research as it has the capability to create high performance learners through virtual environments or by using data gathered from other domains. This systematic review defines (a) transfer learning; (b) discusses the recent research conducted; (c) the current status of transfer learning and finally, (d) discusses how transfer learning can bridge the gap between the virtual and the real.


2018 ◽  
Vol 52 (15) ◽  
pp. 967-971 ◽  
Author(s):  
Adam Gledhill ◽  
Dale Forsdyke ◽  
Eliot Murray

ObjectiveTo systematically review studies examining the role of psychological interventions in injury prevention. The primary research question was: What is the real-world effectiveness of psychological intervention in preventing sports injuries?DesignMixed methods systematic review with best evidence synthesis.Data sourcesCINAHL, MEDLINE, PsycARTICLES, PsycINFO, SPORTDiscus, Science Direct and PubMed.Eligibility criteria for selecting studiesRandomised controlled trials (RCT), non-RCTs that included a comparison group, before and after study designs and qualitative methods. Studies were required to outline specific unimodal or multimodal psychological interventions used in relation to injury prevention in the real-world setting.Outcome measureStudies were independently appraised with the Mixed Methods Appraisal Tool.ResultsThirteen papers (incorporating 14 studies) met the eligibility criteria, of which 93% (13/14) reported a decrease in injury rates (effect size range=0.2–1.21). There was an overall moderate risk of bias in reporting (52%). There is a dominance of stress management-based interventions in literature due to the prominence of the model of stress and athletic injury within the area.Summary/conclusionsPsychological interventions demonstrate small (0.2) to large (1.21) effects on sports injury rates. The research area demonstrates a cumulative moderate risk in reporting bias (52%).PROSPERO registration numberCRD42016035879.


2018 ◽  
Vol 20 (10) ◽  
pp. 1131-1144 ◽  
Author(s):  
Marco Di Marco ◽  
Elvira DAndrea ◽  
Nikola Panic ◽  
Valentina Baccolini ◽  
Giuseppe Migliara ◽  
...  

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