| 1. |
- Airiskallio, E., et al.
(author)
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Third element effect in the surface zone of Fe-Cr-Al alloys
- 2010
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In: Physical Review B. Condensed Matter and Materials Physics. - 1098-0121 .- 1550-235X. ; 81:3
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Journal article (peer-reviewed)abstract
- The third element effect to improve the high temperature corrosion resistance of the low-Al Fe-Cr-Al alloys is suggested to involve a mechanism that boosts the recovering of the Al concentration to the required level in the Al-depleted zone beneath the oxide layer. We propose that the key factor in this mechanism is the coexistent Cr depletion that helps to maintain a sufficient Al content in the depleted zone. Several previous experiments related to our study support that conditions for such a mechanism to be functional prevail in real oxidation processes of Fe-Cr-Al alloys.
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| 2. |
- Buck, TD, et al.
(author)
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3-D segmentation of medical structures by integration of raycasting with anatomic knowledge
- 1995
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In: Computers & graphics. - : PERGAMON-ELSEVIER SCIENCE LTD. - 0097-8493. ; 19:3, s. 441-449
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Journal article (peer-reviewed)abstract
- We present a graphically interactive procedure which is used to register a digital anatomic brain atlas with the tomographic patient volume. Patient structures to be segmented are outlined by local elastic deformation of corresponding objects from the ana
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| 3. |
- Ferrara, R, et al.
(author)
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Atmospheric mercury sources in the Mt. Amiata area, Italy
- 1998
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In: Science of the Total Environment. - 1879-1026. ; 213:1-3, s. 13-23
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Journal article (peer-reviewed)abstract
- Mt. Amiata, located in southern Tuscany (Italy), is part of the geologic anomaly of the Mediterranean basin, which contains about 65% of the world's cinnabar (HgS) deposits. Atmospheric mercury emissions from the main sources (geothermal power plants, abandoned mine structures and spoil banks of roasted cinnabar ore) were determined by flux chamber and by LIDAR remote sensing. Mercury emissions from five geothermal power plants were on the order of 24 g h(-1) for each plant, a value that remains constant throughout the year. In the month of July, the mine spoils (covering an area of similar to 200000 m(2)) emit a few grams of mercury per hour, while the abandoned mine structures give off 100-110 g h(-1). These two mercury sources were strongly influenced by ambient temperature. The area affected by mercury sources displays an average air mercury concentration of 20 ng m(-3) during the summer and 10 ng m(-3) in winter. (C) 1998 Elsevier Science B.V.
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| 4. |
- Herlitz, Johan, et al.
(author)
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Ten-year mortality in relation to the original size of a myocardial infarction. Results from the Göteborg metoprolol study
- 1994
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In: British Heart Journal. - : B M J Group. - 0007-0769. ; 71:3, s. 238-241
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Journal article (peer-reviewed)abstract
- OBJECTIVE: To describe the relation between the extent of a myocardial infarct, measured according to maximum serum enzyme activity of lactate dehydrogenase, and mortality at 10 years. PATIENTS: In 759 patients with acute myocardial infarction in whom serum activity of heat stable lactate dehydrogenase had been determined every 12 hours for 108 hours after randomisation in an early intervention trial with metoprolol. MAIN OUTCOME MEASURE: Mortality at 10 years in relation to quartile of maximum serum lactate dehydrogenase activity and history of cardiovascular disease. RESULTS: Among all patients mortality at 10 years was 39% in the lowest quartile, 51% in the second quartile, 50% in the third, and 59% in the fourth (p < 0.001 for relation between infarct size and 10 year mortality). Among patients without a history of myocardial infarction, angina pectoris, diabetes mellitus, or hypertension the mortality in each quartile was 29%, 32%, 41%, and 56%, respectively (p < 0.001 for relation between infarct size and 10 year mortality). Among patients with any of these risk indicators the association between the estimated infarct size and mortality at 10 years was weak (p < 0.05). CONCLUSION: Estimated size of a myocardial infarct and mortality over 10 years seem to be related but mainly in patients without a history of cardiovascular disease.
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| 5. |
- Hofwing, Magnus, 1982-, et al.
(author)
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Optimal Polynomial Regression Models by using a Genetic Algorithm
- 2011
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In: Proceedings of the Second International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering. - Stirlingshire : Civil-Comp Press. - 9781905088492 - 9781905088485
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Conference paper (other academic/artistic)abstract
- Different regression models are commonly used to approximate the behavior of an unknown response in a given design domain. The regression models are usually obtained from a design of experiments, the corresponding responses and the constitution of the regression model. In this work a new approach is proposed, where the constituents of a polynomial regression model are of arbitrary order. A genetic algorithm is used to find the optimal terms to be included in the so-called optimal polynomial regression model. The objective for the genetic algorithm is to minimize the sum of squared errors of the predicted responses. In practice the genetic algorithm generates an optimal set of exponents of the design variables for the specified number of terms in the regression model, where each term is a product of a regression coefficient and the design variables. Several example problems are presented to show the performance and accuracy of the optimal polynomial regression model. Results show an improved performance for optimal polynomial regression models compared to traditional regression models.
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| 6. |
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| 7. |
- Linnér, Lukas, 1985-, et al.
(author)
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Maintaining dual career balance : A scenario perspective on Swedish university student-athletes’ experiences and coping
- 2021
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In: Scandinavian Journal of Sport and Exercise Psychology. - Aalborg : Dansk Idrætspsykologisk Forum. - 2596-741X. ; 3, s. 47-55
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Journal article (peer-reviewed)abstract
- A Dual Career (DC) scenario perspective was introduced in the European project “Gold in Education and Elite Sport” (GEES) and is characterized by integration of student-athletes’ athletic and non-athletic demands into difficult situations or periods (i.e., scenarios) requiring coping efforts. In this study we consider balance as the primary challenge for student-athletes and set out to identify DC scenarios that influenced university student-athletes’ optimal DC balance, and the factors involved in coping with such scenarios. We implemented a post-positivist qualitative design through semi-structured interviews with six university student-athletes. Our thematic analysis generated seven DC scenarios, for example, A sport event coincides with exams, and Finalize degree project and continue to train and compete. The scenarios, their characteristics and student-athletes’ corresponding coping are described. Based on the findings, we suggest an updated definition of DC scenarios and present their taxonomy, with four types of DC scenarios in which student-athletes’ circumstances challenge them to (a) maintain sport and study, (b) maintain study, (c) maintain sport, and (d) maintain personal life. We discuss how these developments can be useful for DC research and practice.
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| 8. |
- Menkis, Audrius
(author)
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Patterns of fungal diversity in needles, rootlets and soil of endemic Pinus peuce
- 2022
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In: Baltic Forestry. - 1392-1355. ; 28
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Journal article (peer-reviewed)abstract
- Pinus peuce is a five-needle pine native to high-elevation montane habitats of the Balkans. This study aimed to assess the diversity and composition of fungal communities associated with soil, rootlets and living needles of P. peuce at three high-altitude forest sites with different edaphic conditions and stand characteristics in south-eastern Montenegro. In total, 90 samples of each substrate (needles, rootlets and soil) were sampled. DNA amplification using ITS2 rDNA as a marker and high-throughput sequencing resulted in 23,394 high-quality reads, representing 825 fungal taxa. There were 52.5% Basidiomycota, 43.9% Ascomycota and 3.6% Mucoromycotina. There were 118 unique fungal taxa in the rootlets, 230 in soil and 113 in the needles, and only 8 taxa were shared. The most common fungi in rootlets were Rhizopogon mohelensis (11.0%), Suillus americanus (8.4%), and R. fallax (6.9%), in soil - Phlebiopsis gigantea (5.1%), Tylospora asterophora (2.9%), and Sollicocossima terricola (2.7%), and in the needles - Dothideomycetes sp. (17.6%), Dothideomycetes sp. (10.7%), and Leotiomycetes sp. (6.5%). The results showed that functional tissues and the rhizosphere soil of P. peuce were inhabited by a high diversity of fungi. Fungal communities in the rootlets and soil were largely determined by the site conditions such as soil properties and forest stand composition.
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| 9. |
- Runardotter, Mari
(author)
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Access to public information in governmental agencies and archives – main challenges : an analysis of the Estonian, Icelandic and Swedish legal frameworks, with focus on main challenges for developing governmental e-services
- 2011
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Reports (other academic/artistic)abstract
- The ongoing development of e-services gains much interest from many groups in the society, ranging from citizens and organizations to research communities. Initiatives are taken both from separate private persons to authorities themselves. Looking at the UN e-government survey 20101 we find Sweden (ranked 12) and Estonia (ranked 20) among the top20 in the e-government development index, and when it comes to the e-participation index only Estonia is found, this time ranked 9. Thus, Estonia2 has come furthest with involvement of citizens, while Sweden3 and Iceland4 is not as mature. Also the cultural heritage sector would benefit by being able to offer e-services that are developed from the citizen’s focus. Thus, the main questions are e.g.; what public information is of interest to citizens? And how would they like to access this information? What kind/s of service/s would they prefer? The APIS project set out to investigate what e-services could be developed, that increases the accessibility and use of public information that resides in governmental agencies and archives.
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| 10. |
- Sakao, Tomohiko, 1969-, et al.
(author)
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Enhancing PSS design through big data, IoT and bigdata analytics
- 2019
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In: Proceedings of the Spring Servitization Conference. - United Kingdom. - 9781854494634 ; , s. 197-205
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Conference paper (peer-reviewed)abstract
- Purpose: PSS (Product/Service System) is a specific type of offering in servitization and requires a special way of designing to exploit its full potential. Today, thanks to increasing interest in big data, IoT (Internet of Things) and big data analytics (BDA), we are seeing an enormous opportunity to further advance the practice of PSS design and delivery. Now, questions arise as to how these technologies could improve PSS design and delivery: does such a PSS design process already exist that can accommodate various types of incoming big data through IoT? Is there a need to amend existing PSS design processes to exploit the obtained data? At present, no clear answer to these questions can be found in the literature. This conference paper aims to pave the way forward for research in PSS design and show opportunities to improve design and operational practices using big data, IoT and BDA.Design/Methodology/Approach: The research method adopted is a literature review and analysis. First, PSS design methods and procedures are reviewed in a systematic manner and consolidated as a general PSS design procedure. Second, opportunities for using big data, IoT and BDA to improve PSS design and delivery are identified in the general description. Third, issues for further research and development are presented.Findings: The review clarifies what, in essence, the literature scientifically informs us about PSS design methods. The common denominator for PSS design methods could be composed of ten steps. Eight out of the ten steps were found to be relevant with use of big data, IoT and BDA. The relevance was also described as pros and cons in terms of quality, cost, and time (delivery).Originality/Value: First, the paper is one of the earliest high-level reviews of PSS design from the viewpoint of big data, IoT and BDA. Second, it gives a perspective of various possible relations between PSS design and big data, IoT and BDA. Third, the paper presents further scientific and practical research opportunities in this area, building upon insights available in the state of the art of PSS design.
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