per capita energy intensity ratio，您说的这个英文词语在CMA的考试中比较常见，学会这个词语对考取英文CMA资格证书特别有帮助。这个词语的汉语意思是：人均能源浓度比。希望高顿网校的回答能帮助您解决问题，更多CMA欢迎提交给高顿企业知道。高顿祝您生活愉快！
per capita energy intensity ratio 人均能源浓度化 === 柳浪闻莺各位芝麻竭诚为您解答 您的采纳是我们坚持百度的动力
This study makes an empirical analysis of energy intensity versus per capita GDP in seven developing countries from 1973 to 1995. It is based on two data sets that cover different statistical scopes for total primary energy supply. The results reveal that the statistical scope of total primary ...
Determines energy use efficiency based on comparing energy use, location, geography, calendar period, and other attributes as a function of the total occupants in the facilities.
必应词典为您提供per-capita-energy-intensity-ratio的释义,网络释义: 人均能源密度比;人均能源浓度化;人均能源浓度比;
CEIC提供的初始能源的能源强度:兆焦耳/2017年GDP价格的购买力平价数据处于定期更新的状态,数据来源于World Bank,数据归类于全球数据库的佛得角 – Table CV.World Bank.WDI: Environmental: Energy Production and Consumption。查看图表中 2000 到2022 期间的佛得角 佛...
Communication by rare, binary spikes is a key factor for the energy efficiency of biological brains. However, it is harder to train biologically-inspired spiking neural networks than artificial neural networks. This is puzzling given that theoretical res
Aging is accompanied by impairments in both circadian rhythmicity and long-term memory. Although it is clear that memory performance is affected by circadian cycling, it is unknown whether age-related disruption of the circadian clock causes impaired hippocampal memory. Here, we show that the repress...
aDecomposing the Kaya-identity for Wuxi, it becomes obvious that the increase of per capita income has the largest impact on the growth of CO2-emissions and the dec rease of energy intensity of Gross Value Added the largest impact on the reduction of CO2-emissions in Wuxi. 分解Kaya身分为...
Deep learning has become a widespread tool in both science and industry. However, continued progress is hampered by the rapid growth in energy costs of ever-larger deep neural networks. Optical neural networks provide a potential means to solve the energy-cost problem faced by deep learning. Her...