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Updated: Sep 9, 2025

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
06:02

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Published on: October 6, 2020

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非公式ケアへの移行と職業的自己効率化: ドイツの代表的な従業員データを用いて,差異性スコアマッチング分析

Carolin Kunz1

  • 1Sozialstruktur und Soziologie alternder Gesellschaften, Fakultät Sozialwissenschaften, Technische Universität Dortmund, Emil-Figge-Straße 50, 44227, Dortmund, Germany. Carolin.Kunz@TU-Dortmund.de.

Zeitschrift fur Gerontologie und Geriatrie
|August 28, 2025
PubMed
まとめ

非公式の介護への移行は 職場で自立する能力に悪影響を及ぼし 職場で直面する課題に 対応する能力を低下させます 労働時間短縮や労働市場からの退出につながる可能性があります.

キーワード:
BAuA-Arbeitszeitbefragung (バウア・アルバイト・タイム・ベフラグメント) について連邦労働安全衛生研究所仕事 に 関する 態度仕事 介護 紛争仕事 家庭 紛争

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Observational Studies01:11

Observational Studies

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Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
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Quantifying Work02:30

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As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system. 
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The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
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