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Titlebook: Good Data in Business and Professional Discourse Research and Teaching; Further Explorations Geert Jacobs,Sofie Decock Book 2021 The Editor

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31#
發(fā)表于 2025-3-27 00:33:44 | 只看該作者
https://doi.org/10.1007/978-2-8178-0295-4gh surveys and interviews due to the limited first-hand access researchers have to naturally occurring data. This chapter reports on a case where Japanese researchers needed access to authentic critical incident scenarios for the development of a situational judgment test to be used to assess the Gl
32#
發(fā)表于 2025-3-27 02:47:11 | 只看該作者
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發(fā)表于 2025-3-27 05:44:17 | 只看該作者
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發(fā)表于 2025-3-27 10:11:59 | 只看該作者
978-3-030-61759-2The Editor(s) (if applicable) and The Author(s) 2021
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發(fā)表于 2025-3-27 16:04:51 | 只看該作者
36#
發(fā)表于 2025-3-27 20:47:32 | 只看該作者
Geert Jacobs,Sofie DecockExamines the benefits of an interdisciplinary approach to language in use.Asks why the triangulation of quantitative and qualitative methods is so popular.Interrogates the issue of authenticity, and q
37#
發(fā)表于 2025-3-28 00:29:39 | 只看該作者
https://doi.org/10.1007/978-3-030-61757-8business communication; professional communication; data; methodology; authenticity; practice; quantitativ
38#
發(fā)表于 2025-3-28 03:12:30 | 只看該作者
1534-6781 gap from a comparative perspective, undertaking a macro/structural and sub-macro perspective of procedure and case management..978-981-33-4514-0978-981-33-4512-6Series ISSN 1534-6781 Series E-ISSN 2214-9902
39#
發(fā)表于 2025-3-28 08:26:47 | 只看該作者
Yasuhiro Ajiro,Kazunori Ueda,Kenta Choe main tenets of classical ethics, concluding that both Platonism and Aristotelianism are equally useless for the development of a genuinely Christian philosophy. In his philosophically grounded confutation of classical ethics, not only does Javelli echo arguments and motives already presented by Er
40#
發(fā)表于 2025-3-28 11:15:41 | 只看該作者
Performance Analysis of Cardiovascular Diseases Using Machine Learningper hyperparameter tunning is applied on a dataset obtained from the PhysioNet. From the results obtained, we had analyzed that the Decision Tree approach on a given dataset gave a maximum accuracy of 95.45%. So by using this Decision Tree algorithm, CVD detection will be helpful in the medical fiel
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