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Titlebook: New Perspectives on Geography of Media; SHAO Peiren Book 2023 Zhejiang University Press 2023 Media Geography.Chinese Culture.Media and Tim

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樓主: 雜技演員
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發(fā)表于 2025-3-27 00:40:37 | 只看該作者
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發(fā)表于 2025-3-27 03:04:03 | 只看該作者
Space: Material and Landscape in Media Communication,s various categories and causes. As the author observes, physical and psychological distance can affect the communication process and, consequently, the effectiveness of media messages. It identifies different types of media distance, such as social, time-space, and psychological, and explains how t
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發(fā)表于 2025-3-27 06:50:00 | 只看該作者
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發(fā)表于 2025-3-27 11:01:58 | 只看該作者
Landscape and the Media: Mediated Representations of the World,scapes, the author discusses various sociocultural definitions of landscape. It is argued that landscapes can be interpreted as representing the history and unique characteristics of specific locations, and that the landscapes of villages, towns, cities, subways, and suburbs vary in a variety of way
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發(fā)表于 2025-3-27 13:51:11 | 只看該作者
Scale: Locality and Globality of Media Communication, of measurement systems in ancient China and westerners’ understanding of scale (such as spatial scale and temporal scale, small-scale and large-scale media environments, and ladder-like scales and concentric scales) before discussing locality and globality in terms of heterogeneity and homogeneity,
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發(fā)表于 2025-3-27 18:37:15 | 只看該作者
der with a brief reminder of the most important concepts used throughout the manuscript. As outlined in Chapter 1, we restrict our discussion to engineered distributed systems that lie between the micrometer and the centimeter scale, which we denote as SMPs. We suggest in particular that SMPs repres
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發(fā)表于 2025-3-28 00:27:43 | 只看該作者
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發(fā)表于 2025-3-28 04:18:35 | 只看該作者
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發(fā)表于 2025-3-28 07:59:34 | 只看該作者
SHAO Peirenf its variants for finding a local minimum of an objective function. The K-W scheme is a version of the Robbins-Monro stochastic approximation algorithm and incorporates balanced two-sided estimates of the gradient using two objective function measurements for a scalar parameter. When the parameter
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