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Titlebook: Multilingual Hong Kong: Languages, Literacies and Identities; David C.S. Li Book 2017 Springer International Publishing AG 2017 Biliteracy

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發(fā)表于 2025-3-23 11:10:17 | 只看該作者
Demographic Transformation and Socio-Economic Developmenthttp://image.papertrans.cn/i/image/463593.jpg
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發(fā)表于 2025-3-24 01:50:47 | 只看該作者
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發(fā)表于 2025-3-24 02:27:33 | 只看該作者
Polyp?se Erkrankungen des Rektumsever, today’s super recipient is a relatively larger economy than its investors, and many of these investors are not classified as “developed economies.” This article uses panel data from 1993 to 2014 to examine the effects of FDI outflows on a home country’s growth and employment. The empirical res
16#
發(fā)表于 2025-3-24 08:30:23 | 只看該作者
H. Reindell,K. Musshoff,H. Klepzigtastrophic fires in Southern California in the fall of 2003. The focus of the presentation will detail how several different agencies and the private sector created a shared GIS data base to collaborate on how to provide protection, prevention and response to a pending wildfire catastrophe. Examples
17#
發(fā)表于 2025-3-24 14:44:55 | 只看該作者
Devon Anderson,David T. Cookeast couple of decades, the prognosis still remains poor. Magnetic resonance imaging (MRI), which provides information about the structural and functional aspects of the tumor in a noninvasive manner, has gained a lot of popularity for evaluating brain tumors. Several studies have been proposed in th
18#
發(fā)表于 2025-3-24 17:33:22 | 只看該作者
Mark Minas,Leon Shklarin Bavaria,Germany. Overtheyears,variousbitsandpieceshadbeenaddedtothecontentsofthese lecture notes, and others had to be left out for reasons of time limitations. These notes di?ered from the common textbooks, and as the students seemed to like them, I have collected all those pieces in this book.
19#
發(fā)表于 2025-3-24 22:27:25 | 只看該作者
Samir Ouchanis employ both vision-based and bio-sensing data to design multi-modal recognition systems. However, these approaches require tremendous domain-specific knowledge, complex pre-processing steps and fail to take full advantage of the end-to-end nature of deep learning techniques. This paper proposes a
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發(fā)表于 2025-3-25 01:41:49 | 只看該作者
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