Titlebook: The Legacy of Supranationalism; Paul Close Book 2000 Palgrave Macmillan, a division of Macmillan Publishers Limited 2000 European integrat

加冕

書目名稱The Legacy of Supranationalism影響因子(影響力)




書目名稱The Legacy of Supranationalism影響因子(影響力)學(xué)科排名




書目名稱The Legacy of Supranationalism網(wǎng)絡(luò)公開度




書目名稱The Legacy of Supranationalism網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱The Legacy of Supranationalism被引頻次




書目名稱The Legacy of Supranationalism被引頻次學(xué)科排名




書目名稱The Legacy of Supranationalism年度引用




書目名稱The Legacy of Supranationalism年度引用學(xué)科排名




書目名稱The Legacy of Supranationalism讀者反饋




書目名稱The Legacy of Supranationalism讀者反饋學(xué)科排名

天然熱噴泉

https://doi.org/10.1057/9780230509061European integration; European Union (EU); globalization; Integration; Nation; nationalism; organization; U

Aromatic

本能

he ideological driving force behind the process of European integration and so the European Union, the first supranational regional regime (SRR). But the same doctrine has bequeathed other gifts to the world and to posterity. The EU is evolving as a prominent global player, and as a result appears t

Strength

Book 2000al players such as nation-states, a further state of development has ensued, entailing the creation of supranational global regimes (SGRs), signalled by the progress of the United Nations and the World Trade Organisation.

ARK

synovitis

Book 2000ical driving force behind the process of European integration and so the European Union, the first supranational regional regime (SRR). But the same doctrine has bequeathed other gifts to the world and to posterity. The EU is evolving as a prominent global player, and as a result appears to have bec

藕床生厭倦

Parsing ET Civilizations and Cultures,ductive, social, cultural, and civilizational aspects. In essence, we have a kit of tools which should allow us, off the bat, to examine and start understanding ETI we may contact. In this chapter, we look in greater detail into the nature of ETI civilizations and what they mean for humanity. beside

Inculcate

Principles of Environmental Modeling,sing these text classifiers—Support Vector Machine (SVM), Random Forest (RF), Naive bales (NB) and Logistic Regression (LR). We observed that among all four classifiers, SVM attained the highest accuracy for text prediction.

叫喊

A. C. Fleischer,C. M. Herbert,D. M. Keppleof different benchmark sets, which have been found to be of crucial importance in assessing such a wide range of methods is discussed. Finally, a number of experience-based perspectives are provided in relation to the scaling and accuracy of the “more popular” methods used when investigating non-covalent interactions.