Titlebook: Oracle Database 11g; New Features for DBA Sam R. Alapati,Charles Kim Book 2007 Sam Alapati and Charles Kim 2007 11g.Oracle.data warehouse.d

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書(shū)目名稱Oracle Database 11g影響因子(影響力)

書(shū)目名稱Oracle Database 11g影響因子(影響力)學(xué)科排名

書(shū)目名稱Oracle Database 11g網(wǎng)絡(luò)公開(kāi)度

書(shū)目名稱Oracle Database 11g網(wǎng)絡(luò)公開(kāi)度學(xué)科排名

書(shū)目名稱Oracle Database 11g被引頻次

書(shū)目名稱Oracle Database 11g被引頻次學(xué)科排名

書(shū)目名稱Oracle Database 11g年度引用

書(shū)目名稱Oracle Database 11g年度引用學(xué)科排名

書(shū)目名稱Oracle Database 11g讀者反饋

書(shū)目名稱Oracle Database 11g讀者反饋學(xué)科排名

只看該作者 · 發(fā)表于 2025-3-21 23:35:28

ir cost of funding. In this chapter, an overview of the main funding mechanisms for Chinese developers is discussed, which includes offshore corporate bonds, onshore corporate bonds, perpetual bonds, trust firms, peer-to-peer (P2P) lending, crowdfunding, commercial mortgage-backed securities (CMBS)

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migrant workers. The key is to promote the system reform of rural land and speed up the establishment of a free market homestead and rural housing. Policy responses over the past twenty years are evaluated, and recommendations for future policy development are proposed to improve housing conditions

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r market outcomes are profound and long-lasting. While social segregation is regarded as a widespread urban phenomenon worldwide, the causes and consequences of segregation in Chinese cities should be interpreted within the country’s specific historical, social, cultural and institutional contexts.

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pital city of Hebei Province. We use this to investigate the spatial patterns of deprivation in Shijiazhuang, focussing on clustering and centralisation of deprivation as well as exploring different deprivation typologies. We highlight two distinct types of deprived areas. One is clustered in indust

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只看該作者 · 發(fā)表于 2025-3-23 01:33:41

oses to use existing deep learning-based frameworks on an augmented dataset consisting of pixel scaled images (of the original CT images) and the original CT images to diagnose COVID-19 infection. Since this is a binary classification problem the paper proposes to use Convolutional Neural Networks (

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