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Reionization Era Bright Emission Line Survey: Selection and Characterization of Luminous Interstellar Medium Reservoirs in the z>6.5 Universe

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , and . (2021)cite arxiv:2106.13719Comment: 26 pages, 1 table, 17 figures, submitted to ApJ, Table 2 will become available on publication of the paper.

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Normal, Dust-Obscured Galaxies in the Epoch of Reionization, , , , , , , , , and 19 other author(s). (2021)cite arxiv:2109.10378Comment: 16 pages, 7 figures, 4 tables, published in Nature.Reionization Era Bright Emission Line Survey: Selection and Characterization of Luminous Interstellar Medium Reservoirs in the z>6.5 Universe, , , , , , , , , and 20 other author(s). (2021)cite arxiv:2106.13719Comment: 26 pages, 1 table, 17 figures, submitted to ApJ, Table 2 will become available on publication of the paper.Situation Awareness and Cognitive Modeling., and . IEEE Intelligent Systems, 27 (3): 91-96 (2012)The Effect of Automated Compensation for Incongruent Axes on Teleoperator Performance., , , , and . Hum. Factors, 40 (4): 541-553 (1998)The Sacagawea Principle., and . IEEE Intelligent Systems, 17 (6): 80-85 (2002)Foundation and Challenges., and . Cyber Defense and Situational Awareness, volume 62 of Advances in Information Security, Springer, (2014)Situation awareness: operationally necessary and scientifically grounded.. Cogn. Technol. Work., 17 (2): 163-167 (2015)Situation awareness in human-machine interactive systems., , and . Cogn. Syst. Res., (2017)A Systematic Review and Meta-Analysis of Direct Objective Measures of Situation Awareness: A Comparison of SAGAT and SPAM.. Hum. Factors, (2021)Supporting Human-AI Teams: Transparency, explainability, and situation awareness.. Comput. Hum. Behav., (2023)