| 1. |
- Ferreira-Rodríguez, Noé, et al.
(författare)
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Freshwater Mussels as Sentinels for Safe Drinking Water Supply in Europe
- 2023
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Ingår i: ACS - ES & T Water. - : American Chemical Society (ACS). - 2690-0637. ; 3:12, s. 3730-3735
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Tidskriftsartikel (refereegranskat)abstract
- In the context of the European Union (EU) Drinking Water Directive, freshwater mussels (Order Unionoida: Bivalvia) can help us face the challenges of safe drinking water provisions for all citizens in the EU. Specifically, the implementation of high frequency noninvasive (HFNI) valvometers allows the early detection of eventual pollution events in drinking water treatment plants. Currently real-time behavioral analysis is deployed in a number of EU countries, and we foresee a bright future as new technological advances are developed concerning HFNI valvometers.
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| 2. |
- Reyer, Christopher P. O., et al.
(författare)
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A plant's perspective of extremes : terrestrial plant responses to changing climatic variability
- 2013
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Ingår i: Global Change Biology. - HOBOKEN 07030-5774, NJ USA : John Wiley & Sons. - 1354-1013 .- 1365-2486. ; 19:1, s. 75-89
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Forskningsöversikt (refereegranskat)abstract
- We review observational, experimental, and model results on how plants respond to extreme climatic conditions induced by changing climatic variability. Distinguishing between impacts of changing mean climatic conditions and changing climatic variability on terrestrial ecosystems is generally underrated in current studies. The goals of our review are thus (1) to identify plant processes that are vulnerable to changes in the variability of climatic variables rather than to changes in their mean, and (2) to depict/evaluate available study designs to quantify responses of plants to changing climatic variability. We find that phenology is largely affected by changing mean climate but also that impacts of climatic variability are much less studied, although potentially damaging. We note that plant water relations seem to be very vulnerable to extremes driven by changes in temperature and precipitation and that heatwaves and flooding have stronger impacts on physiological processes than changing mean climate. Moreover, interacting phenological and physiological processes are likely to further complicate plant responses to changing climatic variability. Phenological and physiological processes and their interactions culminate in even more sophisticated responses to changing mean climate and climatic variability at the species and community level. Generally, observational studies are well suited to study plant responses to changing mean climate, but less suitable to gain a mechanistic understanding of plant responses to climatic variability. Experiments seem best suited to simulate extreme events. In models, temporal resolution and model structure are crucial to capture plant responses to changing climatic variability. We highlight that a combination of experimental, observational, and/or modeling studies have the potential to overcome important caveats of the respective individual approaches.
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| 3. |
- Scarano, Antonella, et al.
(författare)
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Injury severity prediction of cyclist crashes using random forests and random parameters logit models
- 2023
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Ingår i: Accident Analysis and Prevention. - 0001-4575. ; 192
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Tidskriftsartikel (refereegranskat)abstract
- Cycling provides numerous benefits to individuals and to society but the burden of road traffic injuries and fatalities is disproportionately sustained by cyclists. Without awareness of the contributory factors of cyclist death and injury, the capability to implement context-specific and appropriate measures is severely limited. In this paper, we investigated the effects of the characteristics related to the road, the environment, the vehicle involved, the driver, and the cyclist on severity of crashes involving cyclists analysing 72,363 crashes that occurred in Great Britain in the period 2016–2018. Both a machine learning method, as the Random Forest (RF), and an econometric model, as the Random Parameters Logit Model (RPLM), were implemented. Three different RF algorithms were performed, namely the traditional RF, the Weighted Subspace RF, and the Random Survival Forest. The latter demonstrated superior predictive performances both in terms of F-measure and G-mean. The main result of the Random Survival Forest is the variable importance that provides a ranked list of the predictors associated with the fatal and severe cyclist crashes. For fatal classification, 19 variables showed a normalized importance higher than 5% with the second involved vehicle manoeuvring and the gender of the driver of the second vehicle having the greatest predictive ability. For serious injury classification, 13 variables showed a normalized importance higher than 5% with the bike leaving the carriageway having the greatest normalized importance. Furthermore, each path from the root node to the leaf nodes has been retraced the way back generating 361 if-then rules with fatal crash as consequent and 349 if-then rules with serious injury crash as consequent. The RPLM showed significant unobserved heterogeneity in the data finding four normal distributed indicator variables with random parameters: cyclist age ≥ 75 (fatal prediction), cyclist gender male (fatal and serious prediction), and driver aged 55–64 (serious prediction). The model's McFadden Pseudo R2 is equal to 0.21, indicating a very good fit. Furthermore, to understand the magnitude of the effects and the contribution of each variable to injury severity probabilities the pseudo-elasticity was assessed, gaining valuable insights into the relative importance and influence of the variables. The RF and the RPLM resulted complementary in identifying several roadways, environmental, vehicle, driver, and cyclist-related factors associated with higher crash severity. Based on the identified contributory factors, safety countermeasures useful to develop strategies for making bike a safer and more friendly form of transport were recommended.
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| 4. |
- Vassal, Gilles, et al.
(författare)
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Challenges for Children and Adolescents With Cancer in Europe: The SIOP-Europe Agenda
- 2014
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Ingår i: Pediatric Blood & Cancer. - : Wiley. - 1545-5017 .- 1545-5009. ; 61:9, s. 1551-1557
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Tidskriftsartikel (refereegranskat)abstract
- In Europe, 6,000 young people die of cancer yearly, the commonest disease causing death beyond the age of 1 year. In addition, 300,000-500,000 European citizens are survivors of a childhood cancer and up to 30% of them have severe long-term sequelae of their treatment. Increasing both cure and quality of cure are the two goals of the European paediatric haematology/oncology community. SIOPE coordinates and facilitates research, care and training which are implemented by the 18 European study groups and 23 national paediatric haematology/oncology societies. SIOPE is the European branch of the International Society of Paediatric Oncology and one of the six founding members of the European Cancer Organisation. SIOPE is preparing its strategic agenda to assure long-term sustainability of clinical and translational research in paediatric malignancies over the next 15 years. SIOPE tackles the issues of equal access to standard care and research across Europe and improvement of long term follow up. SIOPE defined a comprehensive syllabus for training European specialists. A strong partnership with parent, patient and survivor organisations is being developed to successfully achieve the goals of this patient-centred agenda. SIOPE is advocating in the field of EU policies, such as the Clinical Trials Regulation and the Paediatric Medicine Regulation, to warrant that the voice of young people is heard and their needs adequately addressed. SIOPE and the European community are entirely committed to the global agenda against childhood cancers to overcome the challenges to increasing both cure and quality of cure of young people with cancer. (c) 2014 Wiley-Liss, Inc., A Wiley Company. Pediatric Blood & Cancer published by Wiley Periodicals, Inc.
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