315 research outputs found

    Considerations about Continuous Experimentation for Resource-Constrained Platforms in Self-Driving Vehicles

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    Autonomous vehicles are slowly becoming reality thanks to the efforts of many academic and industrial organizations. Due to the complexity of the software powering these systems and the dynamicity of the development processes, an architectural solution capable of supporting long-term evolution and maintenance is required. Continuous Experimentation (CE) is an already increasingly adopted practice in software-intensive web-based software systems to steadily improve them over time. CE allows organizations to steer the development efforts by basing decisions on data collected about the system in its field of application. Despite the advantages of Continuous Experimentation, this practice is only rarely adopted in cyber-physical systems and in the automotive domain. Reasons for this include the strict safety constraints and the computational capabilities needed from the target systems. In this work, a concept for using Continuous Experimentation for resource-constrained platforms like a self-driving vehicle is outlined.Comment: Copyright 2017 Springer. Paper submitted and accepted at the 11th European Conference on Software Architecture. 8 pages, 1 figure. Published in Lecture Notes in Computer Science vol 10475 (Springer), https://link.springer.com/chapter/10.1007/978-3-319-65831-5_

    Extracting sensory experiences and cultural ecosystem services from actively crowdsourced descriptions of everyday lived landscapes

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    Acknowledgements We would like to thank everyone who took part in Window Expeditions, without you this research would not have been possible! We would also like to extend our gratitude to the anonymous reviewers whose helpful comments improved the quality of this paper. Funding University Research Priority Program (URPP) – Language and Space & Swiss National Science Foundation Grant [P500PT_214436]Peer reviewe

    Continuous Experimentation for Automotive Software on the Example of a Heavy Commercial Vehicle in Daily Operation

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    As the automotive industry focuses its attention more and more towards the software functionality of vehicles, techniques to deliver new software value at a fast pace are needed. Continuous Experimentation, a practice coming from the web-based systems world, is one of such techniques. It enables researchers and developers to use real-world data to verify their hypothesis and steer the software evolution based on performances and user preferences, reducing the reliance on simulations and guesswork. Several challenges prevent the verbatim adoption of this practice on automotive cyber-physical systems, e.g., safety concerns and limitations from computational resources; nonetheless, the automotive field is starting to take interest in this technique. This work aims at demonstrating and evaluating a prototypical Continuous Experimentation infrastructure, implemented on a distributed computational system housed in a commercial truck tractor that is used in daily operations by a logistic company on public roads. The system comprises computing units and sensors, and software deployment and data retrieval are only possible remotely via a mobile data connection due to the commercial interests of the logistics company. This study shows that the proposed experimentation process resulted in the development team being able to base software development choices on the real-world data collected during the experimental procedure. Additionally, a set of previously identified design criteria to enable Continuous Experimentation on automotive systems was discussed and their validity confirmed in the light of the presented work.Comment: Paper accepted to the 14th European Conference on Software Architecture (ECSA 2020). 16 pages, 5 figure

    Community stakeholders' knowledge in landscape assessments - Mapping indicators for landscape services

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    The results show that community involvement and participatory mapping enhance the assessment of landscape services. These benefits from nature demonstrate spatial clustering and co-existence, but simultaneously also a tendency for spatial dispersion, and suggest that there is far more heterogeneity and sensitivity in the ways the benefits are distributed in relation to actual land resources. Many material landscape service indicators are individually based and spatially scattered in the landscape. However, the well-being of communities is also dependent on the non-material services, pointing out shared places of social interaction and cultural traditions. Both material and non-material services are preferred closest to settlements where the highest intensity, richness and diversity are found. Based on the results, the paper discusses the role of local stakeholders as experts in landscape service assessments and implications for local level management processes. It can be pointed out that the integration of participatory mapping methods in landscape service assessments is crucial for true collaborative, bottom-up landscape management. It is also necessary in order to capture the non-utilitarian value of landscapes and sensitivity to cultural landscape services, which many expert evaluations of landscape or ecosystem services fail to do justice. (C) 2011 Elsevier Ltd. All rights reserved

    Between-individual variation in nematode burden among juveniles in a wild host:Variation in nematode burdens of juvenile birds

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    Parasite infection in young animals can affect host traits related to demographic processes such as survival and reproduction, and is therefore crucial to population viability. However, variation in infection among juvenile hosts is poorly understood. Experimental studies have indicated that effects of parasitism can vary with host sex, hatching order and hatch date, yet it remains unclear whether this is linked to differences in parasite burdens. We quantified gastrointestinal nematode burdens of wild juvenile European shags (Phalacrocorax aristotelis) using two in situ measures (endoscopy of live birds and necropsy of birds that died naturally) and one non-invasive proxy measure (fecal egg counts (FECs)). In situ methods revealed that almost all chicks were infected (98%), that infections established at an early age and that older chicks hosted more worms, but FECs underestimated prevalence. We found no strong evidence that burdens differed with host sex, rank or hatch date. Heavier chicks had higher burdens, demonstrating that the relationship between burdens and their costs is not straightforward. In situ measures of infection are therefore a valuable tool in building our understanding of the role that parasites play in the dynamics of structured natural populations

    The early corrosion behaviour of hot dip galvanised steel pre-treated with bis-1,2-(triethoxysilyl)ethane

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    Abstract The present work aims at correlating the evolution of the analytical composition of bis-1,2-(triethoxysilyl)ethane films formed on hot dip galvanised steel substrate during immersion in NaCl solution with the corrosion performance of the pre-treated substrates. The electrochemical tests were carried out by electrochemical impedance spectroscopy and the analytical characterisation was performed by X-ray photoelectron spectroscopy (XPS), Auger electron spectroscopy (AES) and infrared spectroscopy (FT-IR). The electrochemical results show that the functional silane provides temporary corrosion protection for hot dip galvanised steel during immersion in NaCl-containing solutions. The analytical results show that the chemical composition of the silane film changes during immersion in the aggressive solution. During the first days of immersion these changes improve the corrosion resistance of the pre-treated substrate

    JNK1 controls adult hippocampal neurogenesis and imposes cell-autonomous control of anxiety behaviour from the neurogenic niche

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    Promoting adult hippocampal neurogenesis is expected to induce neuroplastic changes that improve mood and alleviate anxiety. However, the underlying mechanisms remain largely unknown and the hypothesis itself is controversial. Here we show that mice lacking Jnk1, or c-Jun N-terminal kinase (JNK) inhibitor-treated mice, display increased neurogenesis in adult hippocampus characterized by enhanced cell proliferation and survival, and increased maturation in the ventral region. Correspondingly, anxiety behaviour is reduced in a battery of tests, except when neurogenesis is prevented by AraC treatment. Using engineered retroviruses, we show that exclusive inhibition of JNK in adult-born granule cells alleviates anxiety and reduces depressive-like behaviour. These data validate the neurogenesis hypothesis of anxiety. Moreover, they establish a causal role for JNK in the hippocampal neurogenic niche and anxiety behaviour, and advocate targeting of JNK as an avenue for novel therapies against affective disorders.Peer reviewe

    Polygenic risk score is associated with increased disease risk in 52 Finnish breast cancer families

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    The risk of developing breast cancer is increased in women with family history of breast cancer and particularly in families with multiple cases of breast or ovarian cancer. Nevertheless, many women with a positive family history never develop the disease. Polygenic risk scores (PRSs) based on the risk effects of multiple common genetic variants have been proposed for individual risk assessment on a population level. We investigate the applicability of the PRS for risk prediction within breast cancer families. We studied the association between breast cancer risk and a PRS based on 75 common genetic variants in 52 Finnish breast cancer families including 427 genotyped women and pedigree information on similar to 4000 additional individuals by comparing the affected to healthy family members, as well as in a case-control dataset comprising 1272 healthy population controls and 1681 breast cancer cases with information on family history. Family structure was summarized using the BOADICEA risk prediction model. The PRS was associated with increased disease risk in women with family history of breast cancer as well as in women within the breast cancer families. The odds ratio (OR) for breast cancer within the family dataset was 1.55 [95 % CI 1.26-1.91] per unit increase in the PRS, similar to OR in unselected breast cancer cases of the case-control dataset (1.49 [1.38-1.62]). High PRS-values were informative for risk prediction in breast cancer families, whereas for the low PRS-categories the results were inconclusive. The PRS is informative in women with family history of breast cancer and should be incorporated within pedigree-based clinical risk assessment.Peer reviewe
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