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Institution

University of Turku

EducationTurku, Finland
About: University of Turku is a education organization based out in Turku, Finland. It is known for research contribution in the topics: Population & Galaxy. The organization has 16296 authors who have published 45124 publications receiving 1505428 citations. The organization is also known as: Turun yliopisto & Åbo universitet.


Papers
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Journal ArticleDOI
01 Apr 1993-Spine
TL;DR: It is proposed that both inactivity and axonal injury (mainly of neurapraxia type) contribute to the selective type 2 atrophy and inner structure changes in disc patients' multifidus muscle that are reversible and can be diminished by adequate therapy.
Abstract: Biopsy specimens of the lumbar multifidus were obtained from 18 patients with lumbar disc herniation at operation and after a postoperative follow-up period of 5 years. The structure and morphometry of the muscle fibers were analyzed and these data were compared with intraoperative biopsy results and the clinical outcome of the operation. The main findings were: 1) on the basis of occupational handicap score 10 patients belonged in the "positive" and 8 in the "negative" outcome group; 2) the intraoperatively recorded selective type 2 muscle fiber atrophy and the extent of pathologic inner structure changes both decreased in the "positive" outcome group, whereas they persisted in the "negative" group; 3) grouping as a definite sign of reinnervation was seen in only two versus four patients of the "positive" versus "negative" outcome group; 4) the relative amount of adipose tissue within the muscle decreased more markedly in the "positive" outcome group. The authors propose that both inactivity and axonal injury (mainly of neurapraxia type) contribute to the selective type 2 atrophy and inner structure changes in disc patients' multifidus muscle. These pathologic structural changes correlated well with the clinical outcome, and most importantly they are reversible and can be diminished by adequate therapy.

376 citations

Journal ArticleDOI
TL;DR: In this article, a four-level descriptive model is presented in which driver behaviour is conceptualized as a hierarchy, in which the goals and motives of the driver play an essential role.
Abstract: The objective is to formulate guidelines and goals for future development in the area of driver training and education. The content of this paper is not empirical, but merely an analytical summary or review. A four-level descriptive model is presented in which driver behaviour is conceptualised as a hierarchy, in which the goals and motives of the driver play an essential role. The recent constructivist ideas in mainstream pedagogy and psychology of learning are combined with a hierarchical approach to driver behaviour. A comprehensive framework for goals and contents of driver education (GDE framework) is presented. Two main conclusions can be drawn. Firstly, the conceptual analysis points towards a need to emphasise the motivational aspects in driver education more than it is done at present. Secondly, in order to reach the goals, pedagogical methods should be re-evaluated. For example, active learning methods and use of self-reflection should be promoted in driver education.

376 citations

Journal ArticleDOI
TL;DR: The ideas presented here highlight the need to consider all sources of bias and to justify the methods used to interpret count data in dietary metabarcoding studies, and indicate that using relative read abundance information often provides a more accurate view of population‐level diet even with moderate recovery biases incorporated.
Abstract: Advances in DNA sequencing technology have revolutionized the field of molecular analysis of trophic interactions, and it is now possible to recover counts of food DNA sequences from a wide range of dietary samples. But what do these counts mean? To obtain an accurate estimate of a consumer's diet should we work strictly with data sets summarizing frequency of occurrence of different food taxa, or is it possible to use relative number of sequences? Both approaches are applied to obtain semi‐quantitative diet summaries, but occurrence data are often promoted as a more conservative and reliable option due to taxa‐specific biases in recovery of sequences. We explore representative dietary metabarcoding data sets and point out that diet summaries based on occurrence data often overestimate the importance of food consumed in small quantities (potentially including low‐level contaminants) and are sensitive to the count threshold used to define an occurrence. Our simulations indicate that using relative read abundance (RRA) information often provides a more accurate view of population‐level diet even with moderate recovery biases incorporated; however, RRA summaries are sensitive to recovery biases impacting common diet taxa. Both approaches are more accurate when the mean number of food taxa in samples is small. The ideas presented here highlight the need to consider all sources of bias and to justify the methods used to interpret count data in dietary metabarcoding studies. We encourage researchers to continue addressing methodological challenges and acknowledge unanswered questions to help spur future investigations in this rapidly developing area of research.

375 citations

Journal ArticleDOI
TL;DR: In this paper, the effect of polymerization current density and monomer concentration on the formation of the film structure was studied with cyclic voltammetry, in situ UV-VIS-spectroelectrochemistry, electrochemical quartz crystal microbalance technique (EQCM), and in situ Fourier transform infrared (FTIR) spectroscopy using external and internal reflection techniques.

372 citations

Journal ArticleDOI
TL;DR: It is suggested that there are multiple independently inherited dimensions of neural deficit in schizophrenia and a search for genes contributing to quantitative variation in discrete aspects of disease liability is encouraged.
Abstract: While genetic influences in schizophrenia are substantial, the disorder's molecular genetic basis remains elusive. Progress has been hindered by lack of means to detect nonpenetrant carriers of the predisposing genes and by uncertainties concerning the extent of locus heterogeneity. One approach to solving this complexity is to examine the inheritance of pathophysiological processes mediating between genotype and disease phenotype. Here we evaluate whether deficits in neurocognitive functioning covary with degree of genetic relationship with a proband in the unaffected MZ and DZ co-twins of patients with schizophrenia. Twin pairs discordant for schizophrenia were recruited from a total population cohort and were compared with a demographically balanced sample of control twin pairs, on a comprehensive neuropsychological test battery. The following four neuropsychological functions contributed uniquely to the discrimination of degree of genetic loading for schizophrenia and, when combined, were more highly correlated within MZ pairs than within DZ pairs, in both discordant and control twins: spatial working memory (i.e., remembering a sequence of spatial locations over a brief delay), divided attention (i.e., simultaneous performance of a counting and visual-search task), intrusions during recall of a word list (i.e., "remembering" nonlist items), and choice reaction time to visual targets. Together with evidence from human and animal studies of mediation of these functions by partially distinct brain systems, our findings suggest that there are multiple independently inherited dimensions of neural deficit in schizophrenia and encourage a search for genes contributing to quantitative variation in discrete aspects of disease liability. On tests of verbal and visual episodic memory, but not on the liability-related measures, patients were more impaired than their own MZ co-twins, suggesting a preferential impact of nongenetic influences on long-term memory systems.

372 citations


Authors

Showing all 16461 results

NameH-indexPapersCitations
Kari Alitalo174817114231
Mika Kivimäki1661515141468
Jaakko Kaprio1631532126320
Veikko Salomaa162843135046
Markus W. Büchler148154593574
Eugene C. Butcher14644672849
Steven Williams144137586712
Terho Lehtimäki1421304106981
Olli T. Raitakari1421232103487
Pim Cuijpers13698269370
Jeroen J. Bax132130674992
Sten Orrenius13044757445
Aarno Palotie12971189975
Stefan W. Hell12757765937
Carlos López-Otín12649483933
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023102
2022290
20212,673
20202,688
20192,407
20182,189