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Träfflista för sökning "WFRF:(Alexandersson Kristina) srt2:(2015-2019)"

Sökning: WFRF:(Alexandersson Kristina) > (2015-2019)

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1.
  • Alexandersson, Kristina, et al. (författare)
  • Att uppmärksamma barn till svårt sjuka patienter på en neurologisk klinik - utvärdering av implementering av rutiner och arbetssätt
  • 2017
  • Ingår i: Socialmedicinsk Tidskrift. - 0037-833X. ; 94:4, s. 485-495
  • Tidskriftsartikel (refereegranskat)abstract
    • Barn till allvarligt somatiskt sjuka föräldrar löper en förhöjd risk för egen psykisk ohälsa. Här presenteras resultat från utvärderingen av implementering av rutiner och arbetssätt som syftade till att förbättra arbetet med att identifiera, informera samt stödja minderåriga barn till patienter på en neurologisk klinik. Fyra delstudier genomfördes. Resultaten indikerar att trots betydande insatser för att säkerställa att kliniken lever upp till sina lagstadgade uppgifter, fanns en stor förbättringspotential. Hela 80% av patienter med minderåriga barn hade inte fått information om sina barns rätt till stöd och 40% hade inte tillräckligt stöd för att utöva sin föräldraroll. Samtidigt noterades en tydlig ökning i andelen personal på kliniken som hade kunskap om sin skyldighet att erbjuda information, råd och stöd. 
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2.
  • Bolinder, Kristina, et al. (författare)
  • From near extinction to diversification by means of ashift in pollination mechanism in the gymnosperm relict Ephedra (Ephedraceae, Gnetales)
  • 2016
  • Ingår i: Botanical journal of the Linnean Society. - : Oxford University Press (OUP). - 0024-4074 .- 1095-8339. ; 180:4, s. 461-477
  • Tidskriftsartikel (refereegranskat)abstract
    • Pollination in gymnosperms is usually accomplished by means of wind, but some groups are insect-pollinated. We show that wind and insect pollination occur in the morphologically uniform genus Ephedra (Gnetales). Based on field experiments over several years, we demonstrate distinct differences between two Ephedra species that grow in sympatry in Greece in pollen dispersal and clump formation, insect visitations and embryo formation when insects are denied access to cones. Ephedra distachya, nested in the core clade of Ephedra, is anemophilous, which is probably the prevailing state in Ephedra. Ephedra foeminea, sister to the remaining species of the genus, is entomophilous and pollinated by a range of diurnal and nocturnal insects. The generalist entomophilous system of E.foeminea, with distinct but infrequent insect visitations, is in many respects similar to that reported for Gnetum and Welwitschia and appears ancestral in Gnetales. The Ephedra lineage is well documented already from the Early Cretaceous, but the diversity declined dramatically during the Late Cretaceous, possibly to near extinction around the Cretaceous-Palaeogene boundary. The clade imbalance between insect- and wind-pollinated lineages is larger than expected by chance and the shift in pollination mode may explain why Ephedra escaped extinction and began to diversify again.
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3.
  • Fraser, Kathleen, 1984, et al. (författare)
  • Multilingual prediction of Alzheimer’s disease through domain adaptation and concept-based language modelling
  • 2019
  • Ingår i: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), June 2 - June 7, 2019, Minneapolis, Minnesota / Jill Burstein, Christy Doran, Thamar Solorio (Editors). - Stroudsburg, PA : Association for Computational Linguistics. - 9781950737130
  • Konferensbidrag (refereegranskat)abstract
    • There is growing evidence that changes in speech and language may be early markers of dementia, but much of the previous NLP work in this area has been limited by the size of the available datasets. Here, we compare several methods of domain adaptation to augment a small French dataset of picture descriptions (n = 57) with a much larger English dataset (n = 550), for the task of automatically distinguishing participants with dementia from controls. The first challenge is to identify a set of features that transfer across languages; in addition to previously used features based on information units, we introduce a new set of features to model the order in which information units are produced by dementia patients and controls. These concept-based language model features improve classification performance in both English and French separately, and the best result (AUC = 0.89) is achieved using the multilingual training set with a combination of information and language model features.
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4.
  • Linz, Nicklas, et al. (författare)
  • Temporal Analysis of Semantic Verbal Fluency Tasks in Persons with Subjective and Mild Cognitive Impairment.
  • 2019
  • Ingår i: Sixth Workshop on Computational Linguistics and Clinical Psychology: Reconciling Outcomes. Minneapolis, Minnesota, USA, June 6, 2019 / Kate Niederhoffer, Kristy Hollingshead, Philip Resnik, Rebecca Resnik, Kate Loveys (Editors). - Stroudsburg, PA : Association for Computational Linguistics. - 9781948087957
  • Konferensbidrag (refereegranskat)abstract
    • The Semantic Verbal Fluency (SVF) task is a classical neuropsychological assessment where persons are asked to produce words belonging to a semantic category (e.g., animals) in a given time. This paper introduces a novel method of temporal analysis for SVF tasks utilizing time intervals and applies it to a corpus of elderly Swedish subjects (mild cognitive impairment, subjective cognitive impairment and healthy controls). A general decline in word count and lexical frequency over the course of the task is revealed, as well as an increase in word transition times. Persons with subjective cognitive impairment had a higher word count during the last intervals, but produced words of the same lexical frequencies. Persons with MCI had a steeper decline in both word count and lexical frequencies during the third interval. Additional correlations with neuropsychological scores suggest these findings are linked to a person’s overall vocabulary size and processing speed, respectively. Classification results improved when adding the novel features (AUC = 0.72), supporting their diagnostic value.
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