| 1. |
- Constantino, Sebastian, et al.
(författare)
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Ekonomisk statistik om sektorer som är beroende av havet : Underlag till inledande bedömning 2018 inom havsmiljöförordningen
- 2017
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- Den totala omsättningen i de maritima näringarna är omkring 160 000 miljoner kronor, vilket utgör cirka 2,2 procent av Sveriges totala omsättning. I dessa näringar uppgår den totala anställningen till omkring 73 000 som utgör 2,8 procent av Sveriges totala anställningar. I en uppdelning av maritima näringar i sektorer är marin turism den största, följt av sjöfart och hamnar och stödtjänster.Vi gav Statistiska centralbyrån (SCB) i uppdrag att identifiera och redovisa den ekonomiska betydelsen av Sveriges maritima näringar. Resultatet redovisas i denna rapport. Det kommer också att användas som en del i vår inledande bedömning för havsmiljöförordningen (havsmiljödirektivet).
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| 2. |
- Ortiz-Barrios, Miguel, et al.
(författare)
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Predicting Activity Duration in Smart Sensing Environments Using Synthetic Data and Partial Least Squares Regression : The Case of Dementia Patients
- 2022
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Ingår i: Sensors. - Basel : MDPI. - 1424-8220. ; 22:14
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Tidskriftsartikel (refereegranskat)abstract
- The accurate recognition of activities is fundamental for following up on the health progress of people with dementia (PwD), thereby supporting subsequent diagnosis and treatments. When monitoring the activities of daily living (ADLs), it is feasible to detect behaviour patterns, parse out the disease evolution, and consequently provide effective and timely assistance. However, this task is affected by uncertainties derived from the differences in smart home configurations and the way in which each person undertakes the ADLs. One adjacent pathway is to train a supervised classification algorithm using large-sized datasets; nonetheless, obtaining real-world data is costly and characterized by a challenging recruiting research process. The resulting activity data is then small and may not capture each person's intrinsic properties. Simulation approaches have risen as an alternative efficient choice, but synthetic data can be significantly dissimilar compared to real data. Hence, this paper proposes the application of Partial Least Squares Regression (PLSR) to approximate the real activity duration of various ADLs based on synthetic observations. First, the real activity duration of each ADL is initially contrasted with the one derived from an intelligent environment simulator. Following this, different PLSR models were evaluated for estimating real activity duration based on synthetic variables. A case study including eight ADLs was considered to validate the proposed approach. The results revealed that simulated and real observations are significantly different in some ADLs (p-value < 0.05), nevertheless synthetic variables can be further modified to predict the real activity duration with high accuracy (R2(pred)>90%). © 2022 by the authors.
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| 3. |
- Vlasceanu, Madalina, et al.
(författare)
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Addressing climate change with behavioral science: A global intervention tournament in 63 countries
- 2024
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Ingår i: Science Advances. - : American Association for the Advancement of Science (AAAS). - 2375-2548. ; 10:6
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Tidskriftsartikel (refereegranskat)abstract
- Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate mitigation outcomes: beliefs, policy support, information sharing intention, and an effortful tree-planting behavioral task. Across 59,440 participants from 63 countries, the interventions’ effectiveness was small, largely limited to nonclimate skeptics, and differed across outcomes: Beliefs were strengthened mostly by decreasing psychological distance (by 2.3%), policy support by writing a letter to a future-generation member (2.6%), information sharing by negative emotion induction (12.1%), and no intervention increased the more effortful behavior—several interventions even reduced tree planting. Last, the effects of each intervention differed depending on people’s initial climate beliefs. These findings suggest that the impact of behavioral climate interventions varies across audiences and target behaviors.
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