倒钩
发表于 2025-3-21 18:33:08
书目名称Housing Market Dynamics in Africa影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0428519<br><br> <br><br>书目名称Housing Market Dynamics in Africa影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0428519<br><br> <br><br>书目名称Housing Market Dynamics in Africa网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0428519<br><br> <br><br>书目名称Housing Market Dynamics in Africa网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0428519<br><br> <br><br>书目名称Housing Market Dynamics in Africa被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0428519<br><br> <br><br>书目名称Housing Market Dynamics in Africa被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0428519<br><br> <br><br>书目名称Housing Market Dynamics in Africa年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0428519<br><br> <br><br>书目名称Housing Market Dynamics in Africa年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0428519<br><br> <br><br>书目名称Housing Market Dynamics in Africa读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0428519<br><br> <br><br>书目名称Housing Market Dynamics in Africa读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0428519<br><br> <br><br>
Amenable
发表于 2025-3-21 23:22:02
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CLAN
发表于 2025-3-22 04:13:10
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基因组
发表于 2025-3-22 04:58:22
Housing Finance in Africa,ply of housing. On the demand side, the availability of and access to housing finance is a significant determinant in a household’s decision to acquire, build, or rent a house. Similarly, on the supply side, developers need financing to build the mass housing projects that are needed to address the continent’s housing deficit.
空气传播
发表于 2025-3-22 09:04:08
Slum Upgrading and Housing Alternatives for the Poor, to improving living conditions of existing slums and preventing the formation of new slums. Various mechanisms for housing provision to low-income households are explored with lessons learned from successful initiatives in Africa, Asia, and Latin America.
笼子
发表于 2025-3-22 15:36:00
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handle
发表于 2025-3-22 18:18:07
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hypertension
发表于 2025-3-22 21:12:17
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宽宏大量
发表于 2025-3-23 04:40:51
El-hadj M. Bah,Issa Faye,Zekebweliwai F. Geh2022. Using neural networks, four models were created using recorded load data, weather data, and calendar parameters covering 2018 through 2021. A prediction for the daily consumption during 2022 was obtained using these models and modeling atmospheric behaviors based on comparable conditions from
Calibrate
发表于 2025-3-23 06:30:21
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