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Titlebook: Kleine kwalen bij kinderen; Just Eekhof,Arie Knuistingh Neven,Marissa Scherpto Book 2017Latest edition Bohn Stafleu van Loghum, onderdeel

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51#
發(fā)表于 2025-3-30 09:12:42 | 只看該作者
Hetty Koetsier-den Houtingcally for upper division undergraduate students devoted to tDesigned primarily as a textbook for upper division undergraduate courses in gender and sport, gender issues, sport sociology, cultural sport studies, and women’s studies, Gender Relations in Sport provides a comprehensive examination of th
52#
發(fā)表于 2025-3-30 13:10:05 | 只看該作者
Peter Lucassencally for upper division undergraduate students devoted to tDesigned primarily as a textbook for upper division undergraduate courses in gender and sport, gender issues, sport sociology, cultural sport studies, and women’s studies, Gender Relations in Sport provides a comprehensive examination of th
53#
發(fā)表于 2025-3-30 19:49:05 | 只看該作者
54#
發(fā)表于 2025-3-30 23:31:10 | 只看該作者
55#
發(fā)表于 2025-3-31 01:31:13 | 只看該作者
Isabelle van Spanje and women’s studies, Gender Relations in Sport provides a comprehensive examination of the intersecting themes and concepts surrounding the study of gender and sport. The 16 contributors, leading scholars from sport studies, present key issues, current research perspectives and theoretical developm
56#
發(fā)表于 2025-3-31 07:12:33 | 只看該作者
ESG Data Challenges: User Discretion Is Advised,ular indicator level. The view of ESG scores as a proxy for Corporate Social Responsibility (CSR) is challenged and the application of the score is considered from the pragmatic perspective of the intended user: investors.
57#
發(fā)表于 2025-3-31 10:59:08 | 只看該作者
https://doi.org/10.1007/978-1-4302-4375-5hich are consistent with the prior statistics. The lognormal prior is not able to capture the full non-linear regime at scales below ~ 10 h. Mpc for which higher-order correlations would be required to describe the matter statistics. However, we confirm, as was recently shown in the context of Lyα f
58#
發(fā)表于 2025-3-31 14:07:19 | 只看該作者
59#
發(fā)表于 2025-3-31 19:50:38 | 只看該作者
Analysis of Pre-trained Convolutional Neural Network Models in Diabetic Retinopathy Detection Througs network is trained and learns to identify between healthy retina and RD with high performance, overcoming other works. The best experimentation we obtained reached an accuracy value of 96.86% for DR detection tasks.
60#
發(fā)表于 2025-3-31 21:48:56 | 只看該作者
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