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      Changes in physiological arousal during an arithmetic task: profiles of elementary school students and their associations with mindset, task performance and math grade

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          Abstract

          Task-related change in physiological arousal is suggested to reflect active involvement with the task. While studies often examine such task-related changes in arousal as averaged across the entire task, the present study focused on temporal changes in arousal during a task. More specifically, we investigated changes in elementary school students’ physiological arousal during an arithmetic task and associations between these changes and students’ mindset, performance on the task, and math grades. We used a person-oriented approach to analyze the tonic electrodermal activity of 86 fourth graders, recorded while they were working on an arithmetic task. With model-based clustering of students’ on-task electrodermal activity, we identified three groups of students with differing temporal dynamics of physiological arousal during the task: Increasing Arousal, Decreasing Arousal and Decreasing and Increasing Arousal. The Decreasing Arousal profile contained more students classified as holding a Fixed Mindset Tendency than would be expected if physiological profile membership and mindset tendency were independent. The Increasing Arousal profile performed better on the task than the Decreasing Arousal profile. No association was found with math grades. These results provide a new insight into individual differences in temporal patterns of on-task physiological arousal.

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          MissForest--non-parametric missing value imputation for mixed-type data.

          Modern data acquisition based on high-throughput technology is often facing the problem of missing data. Algorithms commonly used in the analysis of such large-scale data often depend on a complete set. Missing value imputation offers a solution to this problem. However, the majority of available imputation methods are restricted to one type of variable only: continuous or categorical. For mixed-type data, the different types are usually handled separately. Therefore, these methods ignore possible relations between variable types. We propose a non-parametric method which can cope with different types of variables simultaneously. We compare several state of the art methods for the imputation of missing values. We propose and evaluate an iterative imputation method (missForest) based on a random forest. By averaging over many unpruned classification or regression trees, random forest intrinsically constitutes a multiple imputation scheme. Using the built-in out-of-bag error estimates of random forest, we are able to estimate the imputation error without the need of a test set. Evaluation is performed on multiple datasets coming from a diverse selection of biological fields with artificially introduced missing values ranging from 10% to 30%. We show that missForest can successfully handle missing values, particularly in datasets including different types of variables. In our comparative study, missForest outperforms other methods of imputation especially in data settings where complex interactions and non-linear relations are suspected. The out-of-bag imputation error estimates of missForest prove to be adequate in all settings. Additionally, missForest exhibits attractive computational efficiency and can cope with high-dimensional data. The package missForest is freely available from http://stat.ethz.ch/CRAN/. stekhoven@stat.math.ethz.ch; buhlmann@stat.math.ethz.ch
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            Autonomic nervous system activity in emotion: A review

            Autonomic nervous system (ANS) activity is viewed as a major component of the emotion response in many recent theories of emotion. Positions on the degree of specificity of ANS activation in emotion, however, greatly diverge, ranging from undifferentiated arousal, over acknowledgment of strong response idiosyncrasies, to highly specific predictions of autonomic response patterns for certain emotions. A review of 134 publications that report experimental investigations of emotional effects on peripheral physiological responding in healthy individuals suggests considerable ANS response specificity in emotion when considering subtypes of distinct emotions. The importance of sound terminology of investigated affective states as well as of choice of physiological measures in assessing ANS reactivity is discussed. Copyright © 2010 Elsevier B.V. All rights reserved.
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              Implicit Theories and Their Role in Judgments and Reactions: A Word From Two Perspectives

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                Author and article information

                Contributors
                ita.puusepp@helsinki.fi
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                18 January 2024
                18 January 2024
                2024
                : 14
                : 1606
                Affiliations
                [1 ]Faculty of Educational Sciences, University of Helsinki, ( https://ror.org/040af2s02) Siltavuorenpenger 5 A, Helsinki, Finland
                [2 ]Cognitive Science, Department of Digital Humanities, University of Helsinki, ( https://ror.org/040af2s02) Helsinki, Finland
                [3 ]Cognitive Brain Research Unit, Faculty of Medicine, University of Helsinki, ( https://ror.org/040af2s02) Helsinki, Finland
                [4 ]Centre of Excellence in Music, Mind, Body and Brain, University of Helsinki, ( https://ror.org/040af2s02) Helsinki, Finland
                [5 ]Faculty of Education and Culture, Tampere University, ( https://ror.org/033003e23) Tampere, Finland
                Article
                51683
                10.1038/s41598-024-51683-7
                10796377
                38238409
                33482b8a-ba1b-415b-ba6c-b6510a008cf6
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 7 November 2023
                : 8 January 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003125, Suomen Kulttuurirahasto;
                Award ID: 00190856
                Award Recipient :
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2024

                Uncategorized
                psychology,human behaviour
                Uncategorized
                psychology, human behaviour

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