Refine
Has Fulltext
- no (640) (remove)
Year of publication
Document Type
- Other (640) (remove)
Language
- English (640) (remove)
Is part of the Bibliography
- yes (640)
Keywords
- E-Learning (4)
- MOOC (4)
- Scrum (4)
- embodied cognition (4)
- errata, addenda (4)
- Cloud-Security (3)
- ISM: supernova remnants (3)
- Industry 4.0 (3)
- Internet of Things (3)
- Security Metrics (3)
Institute
- Hasso-Plattner-Institut für Digital Engineering GmbH (83)
- Institut für Biochemie und Biologie (81)
- Institut für Physik und Astronomie (81)
- Institut für Geowissenschaften (63)
- Department Psychologie (41)
- Department Sport- und Gesundheitswissenschaften (36)
- Hasso-Plattner-Institut für Digital Engineering gGmbH (30)
- Institut für Chemie (27)
- Institut für Ernährungswissenschaft (27)
- Institut für Informatik und Computational Science (26)
Aspirin inhibits release of platelet-derived sphingosine-1-phosphate in
acute myocardial infarction
(2013)
Various techniques are utilized by the seismological community, extractive industries, energy and geoengineering companies to identify earthquake nucleation processes in close proximity to engineering operation points. These operations may comprise fluid extraction or injections, artificial water reservoir impoundments, open pit and deep mining, deep geothermal power generations or carbon sequestration. In this letter to the editor, we outline several lines of investigation that we suggest to follow to address the discrimination problem between natural seismicity and seismic events induced or triggered by geoengineering activities. These suggestions have been developed by a group of experts during several meetings and workshops, and we feel that their publication as a summary report is helpful for the geoscientific community. Specific investigation procedures and discrimination approaches, on which our recommendations are based, are also published in this Special Issue (SI) of Journal of Seismology.
Data limitations can lead to unrealistic fits of predictive species distribution models (SDMs) and spurious extrapolation to novel environments. Here, we want to draw attention to novel combinations of environmental predictors that are within the sampled range of individual predictors but are nevertheless outside the sample space. These tend to be overlooked when visualizing model behaviour. They may be a cause of differing model transferability and environmental change predictions between methods, a problem described in some studies but generally not well understood. We here use a simple simulated data example to illustrate the problem and provide new and complementary visualization techniques to explore model behaviour and predictions to novel environments. We then apply these in a more complex real-world example. Our results underscore the necessity of scrutinizing model fits, ecological theory and environmental novelty.
P>Despite ample research, understanding plant spread and predicting their ability to track projected climate changes remain a formidable challenge to be confronted. We modelled the spread of North American wind-dispersed trees in current and future (c. 2060) conditions, accounting for variation in 10 key dispersal, demographic and environmental factors affecting population spread. Predicted spread rates vary substantially among 12 study species, primarily due to inter-specific variation in maturation age, fecundity and seed terminal velocity. Future spread is predicted to be faster if atmospheric CO2 enrichment would increase fecundity and advance maturation, irrespective of the projected changes in mean surface windspeed. Yet, for only a few species, predicted wind-driven spread will match future climate changes, conditioned on seed abscission occurring only in strong winds and environmental conditions favouring high survival of the farthest-dispersed seeds. Because such conditions are unlikely, North American wind-dispersed trees are expected to lag behind the projected climate range shift.