Evaluation of Athletic Identity in Elite Fencers by Yusuf Barsbuğa

“…The objective of the research was to analyze and comment on the sportive identities of the star, young and great athletes actively participated in competitions in our country, became involved among the first 16 athletes in formal classifications (in their own categories) of Turkey Fencing Federation between 2016-2017, and attended in the Big National Team Camp held in the county Antalya/Alanya between the dates of 18-29/8/2016 and the Star-Young Europe Championship Preparation Camp held in the province Ankara between the dates of 18-26/2/2017. …”
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ALMA/SCUBA-2 COSMOS Survey: Properties of X-Ray- and SED-selected Active Galactic Nuclei in Bright Submillimeter Galaxies by Ryosuke Uematsu, Yoshihiro Ueda, David M. Alexander, A. M. Swinbank, Ian Smail, Carolina Andonie, Chian-Chou Chen, Ugne Dudzevičiūtė, Soh Ikarashi, Kotaro Kohno, Yuichi Matsuda, Annagrazia Puglisi, Hideki Umehata, Wei-Hao Wang

“…This fraction is almost consistent with the general galaxy population at z  ∼ 2, suggesting that major mergers are not necessarily required for the enhanced star formation in SMGs. We also identify $4{7}_{-15}^{+16}$ % of the AGN hosts as major merger candidates, which is about twice as high as that in the SMGs without AGNs. …”
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Overview of the Near-IR S0 Galaxy Survey (NIRS0S) by E. Laurikainen, H. Salo, R. Buta, J. H. Knapen

“…Detailed visual and photometric classifications were made, for the first time coding also the lenses in a systematic manner. …”
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The Egyptian Museum in Fiction: The Mummy’s Eyes as the ‘Black Mirror’ of the Empire by Nolwenn Corriou

“…In texts such as Bram Stoker’s The Jewel of Seven Stars (1903) and Henry Rider Haggard’s ‘Smith and the Pharaohs’ (1913), the scientific and aesthetising gaze of the archaeologist is challenged by the eyes of the mummy who, in turn, gazes at the museum visitor and thus defeats the imperial order of the museum. …”
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Photometric Selection of Type 1 Quasars in the XMM-LSS Field with Machine Learning and the Disk–Corona Connection by Jian Huang, Bin Luo, W. N. Brandt, Ying Chen, Qingling Ni, Yongquan Xue, Zijian Zhang

“…We constructed our training and blind-test samples using spectroscopically identified Sloan Digital Sky Survey quasars, galaxies, and stars. We utilized the XGBoost machine learning method to select a total of 1591 quasars. …”
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