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- Kraus, Ludwig, et al.
(författare)
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Inpatient Treatment of Adolescents with Acute Alcohol Intoxication : The Tip of the Iceberg?
- 2013
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Ingår i: Das Gesundheitswesen. - : Georg Thieme Verlag KG. - 0941-3790 .- 1439-4421. ; 75:7, s. 456-464
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Tidskriftsartikel (refereegranskat)abstract
- Aims: This study assessed whether (i) adolescents treated in hospital for acute alcohol intoxication show different habitual drinking patterns from adolescents of the general population and whether (ii) predictors for repeated treatment can be identified. Methods: A sample of adolescents who had undergone inpatient treatment for intoxication (clinical sample) comprised n = 482 under 18-year-old subjects, who had additionally been surveyed within the context of the project Hart am Limit (HaLT) between 2008 and 2010 (mean age: 15.1 years, 44.4% girls). The population sample consisted of n = 1 994 Bavarian students who had taken part in the European School Survey Project on Alcohol and other Drugs (ESPAD) in 2007 (mean age: 15.7 years; 54.4% girls). Results: Within the clinical sample, gender differences in age, level of education and motivation to get drunk were found. Adolescents of the clinical sample were on average younger and had a higher level of education than adolescents in the general population sample. Although students in the clinical sample drank alcohol less often (2.8 vs. 5.0 times within the past 30 days), they drank more alcohol per occasion (36.4 g vs. 22.3 g pure alcohol per drinking day). Assessments by a third-party show that the risk of repeated inpatient treatment due to alcohol intoxication is positively associated with perceived psychosocial stress and negatively associated with perceived family support. Conclusions: A hospitalisation due to alcohol intoxication does not sufficiently indicate alarming habitual drinking behaviour. The risk of hospitalisation seems to depend on the drinking context and other factors of the drinking situation. Nevertheless, a sub-group of adolescents, who seem to display an elevated risk for intoxications, could be identified. It is for this sub-group, that supportive measures must be made available.
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2. |
- Bruederle, Daniel, et al.
(författare)
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A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems
- 2011
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Ingår i: Biological Cybernetics. - : Springer Science and Business Media LLC. - 0340-1200 .- 1432-0770. ; 104:4-5, s. 263-296
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Tidskriftsartikel (refereegranskat)abstract
- In this article, we present a methodological framework that meets novel requirements emerging from upcoming types of accelerated and highly configurable neuromorphic hardware systems. We describe in detail a device with 45 million programmable and dynamic synapses that is currently under development, and we sketch the conceptual challenges that arise from taking this platform into operation. More specifically, we aim at the establishment of this neuromorphic system as a flexible and neuroscientifically valuable modeling tool that can be used by non-hardware experts. We consider various functional aspects to be crucial for this purpose, and we introduce a consistent workflow with detailed descriptions of all involved modules that implement the suggested steps: The integration of the hardware interface into the simulator-independent model description language PyNN; a fully automated translation between the PyNN domain and appropriate hardware configurations; an executable specification of the future neuromorphic system that can be seamlessly integrated into this biology-to-hardware mapping process as a test bench for all software layers and possible hardware design modifications; an evaluation scheme that deploys models from a dedicated benchmark library, compares the results generated by virtual or prototype hardware devices with reference software simulations and analyzes the differences. The integration of these components into one hardware-software workflow provides an ecosystem for ongoing preparative studies that support the hardware design process and represents the basis for the maturity of the model-to-hardware mapping software. The functionality and flexibility of the latter is proven with a variety of experimental results.
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