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Search: WFRF:(Laine Marko)

  • Result 1-7 of 7
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1.
  • Dirin, Amir, et al. (author)
  • Facets of Mobile Lifelong Learning Services
  • 2020
  • In: Proceedings of the 12th International Conference on Computer Supported Education. - : SciTePress. ; , s. 543-551
  • Conference paper (peer-reviewed)abstract
    • In the era of digital services and digital connectivity, a massive amount of knowledge has become available and accessible all the time and for all ages. This mandates significant structural changes in the ways in which knowledge are shared and contents are presented. The ways in which knowledge is shared and learners become engaged with that knowledge are crucial in lifelong learning. In lifelong learning the knowledge and the content must be delivered to learners at the right time, without distractions and noise. The traditional educational offering in classrooms is not anymore feasible and supportive as learning happens in a disengaged manner in lifelong learning. In new lifelong learning services, user experience (UX) plays a key role in delivering content appropriately and supporting transition of learning between different contexts with adaptive learning media. The objective of this study is to illustrate and elaborate on the roles of feelings and emotions in engaging students i n lifelong learning applications. We have applied systematic literature review (SLR) to identify emotional factors associated with lifelong mobile learning (m-learning) environments. Based on the findings, we propose an application concept as a case study to demonstrate how emotional factors can manifest themselves in lifelong learning applications. Finally, based on the findings of the literature review and the case study evaluation, we propose a model illustrating the facets in lifelong learning applications.
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  • Kalliokoski, KK, et al. (author)
  • Myocardial perfusion after marathon running
  • 2004
  • In: Scandinavian Journal of Medicine and Science in Sport. - : Wiley. - 0905-7188 .- 1600-0838. ; 14:4, s. 208-214
  • Journal article (peer-reviewed)abstract
    • We investigated the effects of acute prolonged exercise (marathon running) on cardiac function and myocardial perfusion. Cardiac dimensions and function were measured in seven endurance-trained men using echocardiography before and repeatedly after marathon (42.2 km) running (at 10 min, 150 min, and 20 h). Myocardial perfusion and perfusion resistance were measured using positron emission tomography and 15O-H2O before and 85-115 min after running. Echocardiographic indices showed only mild and clinically non-significant changes in cardiac function after running. Rate-pressure-corrected basal myocardial perfusion (0.89+/-0.13 vs. 1.20+/-0.32 mL min(-1) g(-1), P=0.04) was increased after running. Also, adenosine-stimulated perfusion tended to be higher (3.67+/-0.81 vs. 4.47+/-0.52 mL min(-1) g(-1), P=0.12) and perfusion resistance during adenosine stimulation was significantly lower after running (26+/-6 vs. 18+/-3 mmHg min g mL(-1), P=0.03). Plasma free fatty acid (FFA) concentration was significantly increased after running. These results show that marathon running does not cause marked changes in cardiac function in healthy men. Basal perfusion was increased after exercise, probably reflecting changes in fuel preferences to increased use of FFAs. Strenuous exercise also seems to enhance coronary reactivity, which could thereby serve as a protective mechanism to vascular events after exercise.
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  • Roslin, Tomas, et al. (author)
  • A molecular-based identification resource for the arthropods of Finland
  • 2022
  • In: Molecular Ecology Resources. - : Wiley. - 1755-098X .- 1755-0998. ; 22:2, s. 803-822
  • Journal article (peer-reviewed)abstract
    • To associate specimens identified by molecular characters to other biological knowledge, we need reference sequences annotated by Linnaean taxonomy. In this study, we (1) report the creation of a comprehensive reference library of DNA barcodes for the arthropods of an entire country (Finland), (2) publish this library, and (3) deliver a new identification tool for insects and spiders, as based on this resource. The reference library contains mtDNA COI barcodes for 11,275 (43%) of 26,437 arthropod species known from Finland, including 10,811 (45%) of 23,956 insect species. To quantify the improvement in identification accuracy enabled by the current reference library, we ran 1000 Finnish insect and spider species through the Barcode of Life Data system (BOLD) identification engine. Of these, 91% were correctly assigned to a unique species when compared to the new reference library alone, 85% were correctly identified when compared to BOLD with the new material included, and 75% with the new material excluded. To capitalize on this resource, we used the new reference material to train a probabilistic taxonomic assignment tool, FinPROTAX, scoring high success. For the full-length barcode region, the accuracy of taxonomic assignments at the level of classes, orders, families, subfamilies, tribes, genera, and species reached 99.9%, 99.9%, 99.8%, 99.7%, 99.4%, 96.8%, and 88.5%, respectively. The FinBOL arthropod reference library and FinPROTAX are available through the Finnish Biodiversity Information Facility (www.laji.fi) at https://laji.fi/en/theme/protax. Overall, the FinBOL investment represents a massive capacity-transfer from the taxonomic community of Finland to all sectors of society. 
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7.
  • Shcherbacheva, Anna, et al. (author)
  • Identification of molecular cluster evaporation rates, cluster formation enthalpies and entropies by Monte Carlo method
  • 2020
  • In: Atmospheric Chemistry And Physics. - : Copernicus GmbH. - 1680-7316 .- 1680-7324. ; 20:24, s. 15867-15906
  • Journal article (peer-reviewed)abstract
    • We address the problem of identifying the evaporation rates for neutral molecular clusters from synthetic (computer-simulated) cluster concentrations. We applied Bayesian parameter estimation using a Markov chain Monte Carlo (MCMC) algorithm to determine cluster evaporation/fragmentation rates from synthetic cluster distributions generated by the Atmospheric Cluster Dynamics Code (ACDC) and based on gas kinetic collision rate coefficients and evaporation rates obtained using quantum chemical calculations and detailed balances. The studied system consisted of electrically neutral sulfuric acid and ammonia clusters with up to five of each type of molecules. We then treated the concentrations generated by ACDC as synthetic experimental data. With the assumption that the collision rates are known, we tested two approaches for estimating the evaporation rates from these data. First, we studied a scenario where time-dependent cluster distributions are measured at a single temperature before the system reaches a steady state. In the second scenario, only steady-state cluster distributions are measured but at several temperatures. Additionally, in the latter case, the evaporation rates were represented in terms of cluster formation enthalpies and entropies. This reparame-terization reduced the number of unknown parameters, since several evaporation rates depend on the same cluster formation enthalpy and entropy values. We also estimated the evap- oration rates using previously published synthetic steady-state cluster concentration data at one temperature and compared our two cases to this setting. Both the time-dependent and the two-temperature steady-state concentration data allowed us to estimate the evaporation rates with less variance than in the steady-state single-temperature case. We show that temperature-dependent steady-state data outperform single-temperature time-dependent data for parameter estimation, even if only two temperatures are used. We can thus conclude that for experimentally determining evaporation rates, cluster distribution measurements at several temperatures are recommended over time-dependent measurements at one temperature.
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