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| 1 | The Localization, Practice and Innovation of Time Banking——On a New Approach to China's Aging Population显示文摘In the context of an aging population, the promotion of time banking as a new model of voluntary service can help alleviate the ever–increasing pressures for elderly care and services in China. The development of time banking in China has successively undergone the stage of traditional practice, the stage of infancy and exploration, as well as the stage of accelerated growth. Meanwhile, this process has also witnessed the formation of many localized innovations. To further the localization and innovation of time banking, this paper analyzes its basis in traditional culture, summarizes its process of practice and explores new directions of future innovation. Based on the summary of existing problems, this paper proposes to enhance the recognition of time banking among the public, facilitate localized innovation of time banking, promote its informatization, and involve the participation of young people, particularly college students. | Chen Gong Huang Guogui Wu Lingwe | 2018 | Contemporary Social Sciences2018，3，4： | 2 |
| 2 | Supplementation of the black rice outer fraction to rabbits decrease athero sclerotic plaque formation and increases antioxidant status显示文摘 | LingW H Wang L L M a J | 2002 | J Nutr2002，132，1： | 1 |
| 3 | Ananthocyanin-richextract from black rice enhances atherosclerotic plaque stabilization in apolipoprotein E-deficient mice显示文摘 | XiaX LingW MaJ | | 0，，： | 1 |
| 4 | Self-heatingandkinkeffectsina-Si:H thinfilm transistors显示文摘 | LINGW FJELDLYTA INIGUEZB etal | 2000 | IEEETransactionsonElectronDevices2000，47，2： | 1 |
| 5 | Generation of the singlet state for three atoms in cavity QED 显示文摘 | LinGW Ye M Y Cheu L B | 2007 | Phys Rev A2007，76，01： | 1 |
| 6 | Urinary IL-18 and NGAL as early predictive biomarkers in contrast-induced nephropathy after coronaryangiography显示文摘 | LingW ZhaohuiN BenH | | 0，，： | 1 |
| 7 | Artificial Intelligence and Human Intelligence——On Human-Computer Competition from the Five-Level Theory of Cognitive Science显示文摘It is generally accepted that the human mind and cognition can be viewed at five levels; nerves, psychology, language, thinking and culture. Artificial intelligence(AI) simulates human intelligence at all five levels of human cognition, however, AI has yet to outperform human intelligence, although it is making progress. Presently artificial intelligence lags far behind human intelligence in higher-order cognition, namely, the cognitive levels of language, thinking and culture. In fact, artificial intelligence and human intelligence fall into very different intelligence categories. Machine learning is no more than a simulation of human cognitive ability and therefore should not be overestimated. There is no need for us to feel scared even panic about it. Put forward by John R. Searle, the'Chinese Room'argument, a famous AI model and standard, is not yet out of date. According to this argument, a digital computer will never acquire human intelligence. Given that, no artificial intelligence will outperform human intelligence in the foreseeable future. | Cai Shushan Xue Xiaodi Wu Lingwe | 2017 | Contemporary Social Sciences2017，2，4： | 1 |
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