| 1. |
- Olofsson, Linus, et al.
(författare)
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New possibilities with CT scanning in the forest value chain
- 2019
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Ingår i: Proceedings 21st International Nondestructive Testingand Evaluation of Wood Symposium. - : U.S. Department of Agriculture. ; , s. 569-576
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Industrial high-resolution X-ray computed tomography (CT) scanners have recently been installed at several sawmills worldwide for the description of roundwood interior features and external log shape. These CT scanners represent a technological advancement for sawmill businesses that open a way to higher volume and value yields and new production planning strategies. This paper will present an indicative study of innovative use of non-destructive CT log data in a Swedish softwood sawmill, linking high-quality information of the wood material along the wood-value chain. Sawn timber was observed throughout the sawmill process line, i.e. from the log yard through the sawmill process until grading after the timber was dried. Before sawing, the CT scanner scanned the logs and calculated knot measurements from the 3D CT log data of simulated value-optimized center yield. A corresponding set of knot measurements were later calculated from the camera-based grading of the dried timber. Only considering knots from the two sets of measurements, the sawn timber was automatically given a quality assessment based on CT data, by camera-based scanning data, and by manual visual grading for reference. Partial least squares regression was used to create prediction models by correlating the two sets of knot measurements with the automatically determined grade from the dry-sorting. The prediction models tested increased the grading consistency between the grading based on CT data of virtual planks and based on camera data of the same planks. Furthermore, a traceability algorithm was tested as a tool to generate large data sets for future studies.
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| 2. |
- Robinson, Kathryn M., 1975-, et al.
(författare)
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Variation in non-target traits in genetically modified hybrid aspens does not exceed natural variation
- 2021
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Ingår i: New Biotechnology. - : Elsevier. - 1871-6784 .- 1876-4347. ; 64, s. 27-36
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Tidskriftsartikel (refereegranskat)abstract
- Genetically modified hybrid aspens (Populus tremula L. x P. tremuloides Michx.), selected for increased growth under controlled conditions, have been grown in highly replicated field trials to evaluate how the target trait (growth) translated to natural conditions. Moreover, the variation was compared among genotypes of ecologically important non-target traits: number of shoots, bud set, pathogen infection, amount of insect herbivory, composition of the insect herbivore community and flower bud induction. This variation was compared with the variation in a population of randomly selected natural accessions of P. tremula grown in common garden trials, to estimate how the “unintended variation” present in transgenic trees, which in the future may be commercialized, compares with natural variation. The natural variation in the traits was found to be typically significantly greater. The data suggest that when authorities evaluate the potential risks associated with a field experiment or commercial introduction of transgenic trees, risk evaluation should focus on target traits and that unintentional variation in non-target traits is of less concern.
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| 3. |
- Salö, Linus, 1980-, et al.
(författare)
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Introduction : spaces of upset in the Nordic region
- 2022
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Ingår i: International Journal of the Sociology of Language. - Berlin : Walter de Gruyter GmbH. - 0165-2516 .- 1613-3668. ; 2022:275, s. 1-19
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Forskningsöversikt (refereegranskat)abstract
- This introductory article opens the thematic issue Spaces of Upset in theNordic Region. It introduces the contributions of the issue, outlines the concepts thatunite them, and discusses the sociolinguistic area in which they are set: the Nordicregion. Centering on Denmark, Finland and Sweden, the article offers an overview ofsome of the sociolinguistic, ideological and political characteristics of the region andthe countries it comprises. The Nordic region is widely seen as a paradigm case ofsocial stability, consensus and cohesion. This vision is, however, amirage. To be sure,upset often lingers below the discursive veneer of Nordic harmony, concord andagreement. Breaking with this outlook, this thematic issue takes a closer look at someof the antipodes of this sociolinguistic and ideological condition. Its contributionsengage with ‘spaces of upset’, that is, with manifestations and experiences of sociolinguisticrupture, upheaval or change, in and throughwhich visions of sociolinguisticstability and cohesion are disrupted and challenged. These spaces of upset bearwitness to social, ideological and linguistic tensions and changes, be they incipient,enduring or surpassed. They accordingly provide anewtake on processes of continuityand change, pointing out the ideological faultlines of the orders they disrupt, or upset.
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| 4. |
- Toor, Salman, et al.
(författare)
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SNIC Science Cloud (SSC): A national-scale cloud infrastructure for Swedish academia
- 2017
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Ingår i: Proceedings - 13th IEEE International Conference on eScience, eScience 2017. - Los Alamitos, CA : IEEE Computer Society. ; , s. 219-227, s. 219-227
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Konferensbidrag (refereegranskat)abstract
- The cloud computing paradigm have fundamentally changed the way computational resources are being offered. Although the number of large-scale providers in academia is still relatively small, there is a rapidly increasing interest and adoption of cloud Infrastructure-as-a-Service in the scientific community. The added flexibility in how applications can be implemented compared to traditional batch computing systems is one of the key success factors for the paradigm, and scientific cloud computing promises to increase adoption of simulation and data analysis in scientific communities not traditionally users of large scale e-Infrastructure, the so called long tail of science. In 2014, the Swedish National Infrastructure for Computing (SNIC) initiated a project to investigate the cost and constraints of offering cloud infrastructure for Swedish academia. The aim was to build a platform where academics could evaluate cloud computing for their use-cases. SNIC Science Cloud (SSC) has since then evolved into a national-scale cloud infrastructure based on three geographically distributed regions. In this article we present the SSC vision, architectural details and user stories. We summarize the experiences gained from running a nationalscale cloud facility into ten simple rules for starting up a science cloud project based on OpenStack. We also highlight some key areas that require careful attention in order to offer cloud infrastructure for ubiquitous academic needs and in particular scientific workloads.
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