Titlebook: Observational Imprints of Binary Evolution on B- and Be-star Populations; Julia Bodensteiner Book 2022 The Editor(s) (if applicable) and T

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2190-5053 cal Be stars result from binary interactions.Presents a compThis book presents novel observational evidence toward detecting and characterizing the products of massive, interacting binary stars. As a majority of massive stars are born in close binary systems, a large number of so-called massive bina

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,The Young Massive Small Magellanic Cloud Cluster NGC 330 Observed with?MUSE,are measured. The findings on this cluster, in particular a high Be star fraction and a low binary fraction are further compared to previous studies of clusters at different metallicities and ages, as well as to predictions from binary population synthesis models.

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Book 2022f massive stars are born in close binary systems, a large number of so-called massive binary interaction products are predicted to exist; however, few have been identified so far. Based on observations with the largest telescopes around the world, equipped with state-of-the-art instrumentation, this

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,The Post-interaction Be + Stripped Star Binary HR?6819,scription of new observational high-spatial-resolution data, which settles the debate around HR 6819. It demonstrates that HR 6819 is indeed a close binary system consisting of a stripped star and a classical Be star. Finally, it discusses the possible evolutionary history of the binary system.

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ree axis of classification: a) the three discussed problems (density, depth and occlusion); b) the first two subtasks of the pointing task (navigation, selection); and c) the number of targets selected by the pointing technique (1 or N). In this paper we will begin by presenting a state of the art o

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Julia Bodensteiner in assisting and individualizing traditional intervention approaches. The proposed system employs sensors such as eye trackers and physiological signal monitors and models the context relevant psychological state of the child from combination of these sensors. Preliminary affect recognition results

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Julia Bodensteinerate a virtual object at the same time. We implemented several virtual experiments in the VR environment to demonstrate to the public that the proposed system is a powerful tool for STEM education. The benefits of this system are evaluated followed by two virtual experiments in STEM field.