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Titlebook: Exploring Emotion in Reformation Scotland; The Emotional Worlds John McCallum Book 2022 The Author(s), under exclusive license to Springer

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樓主: Arthur
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發(fā)表于 2025-3-25 05:49:31 | 只看該作者
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發(fā)表于 2025-3-25 09:04:32 | 只看該作者
f subjects.Reveals the rich emotional texture of Calvinist lThis book investigates emotion in early modern Scotland, and provides the first exploration of a Scottish individual’s life and writing in light of the recent major advances in the study of emotion. It does this through the example of James
23#
發(fā)表于 2025-3-25 11:42:01 | 只看該作者
https://doi.org/10.1007/978-3-642-03444-2 for the study are discussed in detail, especially the . of James Melville. Melville himself is then introduced via a biographical review with particular reference to the wider events which shaped his experiences.
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發(fā)表于 2025-3-25 17:16:23 | 只看該作者
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發(fā)表于 2025-3-25 20:40:26 | 只看該作者
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發(fā)表于 2025-3-26 00:20:22 | 只看該作者
Mathematical Modeling in Ecologytes. Secondly, the chapter analyses Melville’s location of emotion within the body, and via prompts provided by locations, items, and dreams. Collectively, this sets out a framework for understanding the emotional vocabularies, ranges, and tendencies of late sixteenth-century Scots.
27#
發(fā)表于 2025-3-26 07:38:52 | 只看該作者
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發(fā)表于 2025-3-26 10:11:33 | 只看該作者
29#
發(fā)表于 2025-3-26 14:22:44 | 只看該作者
Plastics,the chapter. Main features of raw material for plastics (petroleum) are developed below, including geology and distillation of petroleum. Although the use of plastic is everywhere in buildings, four major applications (roofing systems and house wraps, piping, insulation, and glazing, windows, and doors) are outlined at the end of the chapter.
30#
發(fā)表于 2025-3-26 18:46:38 | 只看該作者
Scalable Reasoning by Abstraction Beyond DL-Lite,for efficient consistency checking; a step that is often omitted by practical approaches based on query rewriting. A preliminary empirical evaluation on both real-life and benchmark ontologies demonstrates that the approach can handle ontologies with large datasets efficiently.
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