11 research outputs found

    Mental heartbeat tracking and rating of emotional pictures are not related

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    Our aim was to conceptually replicate the fndings of previous empirical studies showing that people with higher cardiac interoceptive accuracy experience more intense emotions. Apart of the mental heartbeat tracking task of Schandry, Hungarian (n=46, 76.0% female, mean age 22.28±2.228) and Norwegian (n=50, 60.0% female, mean age 24.66±3.048) participants rated the arousal and valence evoked by positive, neutral and negative pictures. Multivariate repeated analysis of variance (applying both frequentist and Bayesian approaches) did not reveal any connection between heartbeat perception scores and the subjective ratings (i.e., arousal and valence) of the pictures in any of the two groups. The lack of the expected association between cardioceptive accuracy and arousal might partly be explained by the methodological diferences between previous studies and this one; for example, we did not split or preselected the sample based on the performance on the Schandry task and applied a relatively strict instruction (i.e., by encouraging to count felt heartbeats only, and to report zero if no sensations were detected)

    Fish and other species were perished for soiling and economy clearing in Tisza river at latest decades

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    Water pollution and remediation options for multi-source contaminations in freshwaters are happening sometimes, particularly in River Tisza after the cyanide and heavy metals spills of Romanian origin in 2000. The eco-toxicological effects, degradation and bioaccumulation rates of heavy metals have been followed in the next two years. Here the aim was to follow the bioremediation program and present the renewed economy of River Tisza. High concentration of arsenic, lead, mercury and cadmium was measured in the periphython and sediments samples both of the Rivers Tisza and Szamos. International rehabilitation program was planned and accomplished. Here we demonstrate the renewed economy of Tisza with living flora and fauna after 20 years, and the birth of day of May-fly again

    Magyar Tanítóképző 26 (1911) 02

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    Magyar Tanítóképző A Tanítóképző-intézeti Tanárok Országos Egyesületének közlönye 26. évfolyam, Második füzet Budapest, 1911. február h

    Repeated stand structure inventory dataset in long abandoned deciduous forest reserves in Hungary

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    Deeper understanding on natural forest dynamics requires long-term data series from forests that have not been affected by human interventions, which are often scarce especially in the Pannonian Bioregion. Unmanaged, but regularly inventoried forest reserves provide an opportunity to fill this gap.The dataset provides repeated inventory data for 233 permanent plots situated in the core areas of six forest reserves selected from primary forests (Kékes), long abandoned forests (Kecskés-galya, Szalafő, Várhegy) and abandoned ones (Hidegvíz-völgy, Nagy Istrázsa-hegy). The sampled old stands represent the four most widespread hilly forest types in Hungary: Carpathian submountainous beech forest; sessile oak-hornbeam forest; Turkey oak and sessile oak forest; downy oak forest. In each plot, stand level attributes included main mensuration variables (canopy closure, stand height, tree density, basal area, living and dead volume, lying deadwood and admixture of the main tree species). Tree level attributes (diameter at breast height, height measured and estimated, crown position in the canopy, health status, tree history of all trees or shrubs having diameter larger or equal to 5 cm) were also measured in two inventories (after 6-16 years) for a total of 6,986 individual trees sampled in all plots. Fagus sylvatica L., Quercus petraea agg., Q. cerris L., Q. pubescens Willd., Carpinus betulus L., Acer campestre L. and Cornus mas L. were the most abundant. The individual tree history classification refers to regeneration ingrowth, growing phase, mortality, decaying phase and disappearance events, that can be used for calculation of various stand dynamics attributes.The dataset offers valuable opportunities for quantifying changes in stand structures and tree population dynamic attributes after the abandonment of management. Inventory data can be integrated with environmental and climatic information to understand the drivers of forest stand dynamics under a changing climate
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