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Titlebook: Exploratory Causal Analysis with Time Series Data; James M. McCracken Book 2016 Springer Nature Switzerland AG 2016

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樓主: Gratification
21#
發(fā)表于 2025-3-25 05:32:56 | 只看該作者
22#
發(fā)表于 2025-3-25 11:11:14 | 只看該作者
23#
發(fā)表于 2025-3-25 13:43:38 | 只看該作者
24#
發(fā)表于 2025-3-25 18:12:19 | 只看該作者
How Do I Create Styles for Printing?,often have you bought something online and wanted to print out the invoice? Instead of a professional-looking document, you get all the website navigation down the side, leaving not enough room for the figures that indicate how much you paid. If you’re lucky, they come out on a second sheet. It’s no
25#
發(fā)表于 2025-3-25 21:39:30 | 只看該作者
Zur Konzeption des politisch-gesellschaftlichen Unterrichts sich um politischgesellschaftlichen Unterricht . handeln, der — wie in den social studies der USA. — Erdkunde, Geschichte und Sozialkunde umfa?t, oder soll politischgesellschaftlicher Unterricht . verstanden werden, wie es in der Bundesrepublik Deutschland in der Sozialkunde, Politik, Weltkunde ode
26#
發(fā)表于 2025-3-26 02:52:39 | 只看該作者
Star-Freeness, First-Order Definability and Aperiodicity of Structured Context-Free Languages words. Extending these results to structured subclasses of context-free languages, such as tree languages, did not work as smoothly: there are star-free tree languages that are counting. We argue that investigating the same properties within the family of operator precedence languages (OPLs) by goi
27#
發(fā)表于 2025-3-26 07:53:28 | 只看該作者
1613-3382 des solutions for the UN Sustainable Development Goals Zero .This book covers the basics of animal manure, or animal dung, and highlights its applications in agriculture and biotechnology. The reader is given a comprehensive overview of the different types of animal manure. Although animal manure ca
28#
發(fā)表于 2025-3-26 11:43:07 | 只看該作者
Building Digital Experience Platforms used to predict the seminal profile of an individual from the dataset. A neural-genetic algorithm (N-GA) is employed to select optimal feature subsets and optimize the parameters of the used neural network. Results indicate that the proposed method outperforms other AI methods on seminal quality prediction in terms of precision and accuracy.
29#
發(fā)表于 2025-3-26 14:11:04 | 只看該作者
30#
發(fā)表于 2025-3-26 19:19:14 | 只看該作者
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