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Titlebook: Neurosen; Horst Mester,Rainer Tölle Book 1981 Springer-Verlag Berlin Heidelberg 1981 Abgrenzung.Diagnose.Neurose.Neurosen.Persönlichkeitss

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发表于 2025-3-21 18:52:53 | 显示全部楼层 |阅读模式
书目名称Neurosen
编辑Horst Mester,Rainer Tölle
视频video
图书封面Titlebook: Neurosen;  Horst Mester,Rainer Tölle Book 1981 Springer-Verlag Berlin Heidelberg 1981 Abgrenzung.Diagnose.Neurose.Neurosen.Persönlichkeitss
出版日期Book 1981
关键词Abgrenzung; Diagnose; Neurose; Neurosen; Persönlichkeitsstörung; Prävalenz; Psychiatrie; Rehabilitation; Ver
版次1
doihttps://doi.org/10.1007/978-3-642-67931-5
isbn_softcover978-3-540-10511-4
isbn_ebook978-3-642-67931-5
copyrightSpringer-Verlag Berlin Heidelberg 1981
The information of publication is updating

书目名称Neurosen影响因子(影响力)




书目名称Neurosen影响因子(影响力)学科排名




书目名称Neurosen网络公开度




书目名称Neurosen网络公开度学科排名




书目名称Neurosen被引频次




书目名称Neurosen被引频次学科排名




书目名称Neurosen年度引用




书目名称Neurosen年度引用学科排名




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书目名称Neurosen读者反馈学科排名




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cts have gained increasing interest in remote sensing and climate modeling. However, the radiative properties of BC are significantly affected by the complex morphologies. While a spherical structure is commonly assumed in current climate models and remote sensing techniques, it can introduce substa
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R. Töllehe carbon cycle and its impact on climate disturbances. The repeated synoptic observations of spectral leaving reflectance can be used to estimate marine inherent optical properties. The spatial, angular, and spectral distributions of underwater light field depend upon the absorption and scattering
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ommunity. They can be used to solve inverse problems as well as for data classification and clustering. The first applications of machine learning methods to remote sensing problems were mainly aimed at tasks such as land use classification, identification of specific objects (e.g. clouds)in satelli
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H. Dillingommunity. They can be used to solve inverse problems as well as for data classification and clustering. The first applications of machine learning methods to remote sensing problems were mainly aimed at tasks such as land use classification, identification of specific objects (e.g. clouds)in satelli
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Prävalenzergebnisse aus einer Feldstudie in einem ländlich-kleinstädtischen Gebieten identifizierten Fälle dieser diagnostischen Kategorie angehört. Dem steht entgegen, daß die Fallidentifikation gerade im Bereich der neurotischen Störungen auf ein „definitorisches Chaos“(Katschnig u. Strotzka 1977) stößt. So nimmt es nicht wunder, daß die Angaben über die Häufigkeit der Neurosen
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