Titlebook: Understanding Migration with Macroeconomics; Eugenia Vella,Jordi Caballé,Joan Llull Book 2020 The Editor(s) (if applicable) and The Author

Halloween

書目名稱Understanding Migration with Macroeconomics影響因子(影響力)




書目名稱Understanding Migration with Macroeconomics影響因子(影響力)學科排名




書目名稱Understanding Migration with Macroeconomics網絡公開度




書目名稱Understanding Migration with Macroeconomics網絡公開度學科排名




書目名稱Understanding Migration with Macroeconomics被引頻次




書目名稱Understanding Migration with Macroeconomics被引頻次學科排名




書目名稱Understanding Migration with Macroeconomics年度引用




書目名稱Understanding Migration with Macroeconomics年度引用學科排名




書目名稱Understanding Migration with Macroeconomics讀者反饋




書目名稱Understanding Migration with Macroeconomics讀者反饋學科排名

defile

Eugenia Vella,Jordi Caballé,Joan LlullAnalyses empirically and theoretically the challenges international economic migration generates both in sending and receiving countries.Looks at important issues in the current debates related to the

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擦掉

https://doi.org/10.1007/978-3-030-40981-4Migration; Labour markets; Productivity; Public finances; Macroeconomic aggregates

Inelasticity

Book 2020s in this edited collection analyse empirically and theoretically the challenges international economic migration generates both in sending and receiving countries, thus offering a comprehensive approach to the question asked above..The book looks at several important issues in the current debates r

labyrinth

Joan Llull orientation field matching is then fused with the minutiae-based matching. Thus the proposed scheme can enhance the performance of the system and obtain better matching accuracy than conventional methods.

沒有希望

Hippolyte d’Albis,Ekrame Boubtaneity of computation. The proposed algorithm can capture the important yet salient content as the key frame. Its robustness and adaptability are validated by experiments with various kinds of video sequences.

減少

Emily R. Barkercuracy of 96.92% using the selected and correlated features—ADMCI3, AV45, APOE4, AV45AB12, ADASQ4, RAVLT_perc_forgetting, AD_CGH_L, MD_CGH_L, RD_CGH_L, etc. than other models. The study findings showed that by using neuropsychological data combined with cognitive data, machine learning techniques could help diagnose AD.

Halfhearted

estricting myself to the one area of symbolism, I find that all too frequently I can make only brief allusions to problems. My purpose, then, is to attempt to identify particular areas of possible research and, where possible, to mention existing work.