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| 1 | A review of cryogenic power generation cycles with liquefied natural gas cold energy utilization显示文摘液化天然气(LNG ) ,一广泛地逐渐地使用了干净燃料,在它的气化过程释放很多冷精力。在现在的纸,利用 LNG 冷精力的存在发电周期被介绍并且总结。周期改进的方向能被划分成影响基本发电周期和利用 LNG 冷精力的周期的结构的改进的关键因素。前者包括 LNG 方面参数的效果,工作液体,和入口和插头设备的热力学的参数当后者基于 Rankine 时,周期, Brayton 周期, Kalina 周期和他们的混合物骑车。在现在的纸,利用 LNG 冷精力的低温实验法的发电周期的差异被讨论并且分析。进一步的研究应该集中于器官的混合工作液体和过程模拟和试验性的调查的联合匹配的选择和部件,这被指出,等等。 | Feier XUE Yu CHEN Yonglin JU | 2016 | Frontiers in Energy2016，10，3： | 8 |
| 2 | High Robust Broadcasting over DTMB-A with Low-rate LDPC Codes显示文摘As the 2nd generation digital terrestrial television broadcasting(DTTB)standard,digital terrestrial/television multimedia broadcasting-advanced(DTMB-A)can provide higher spectrum efficiency and transmission reliability by adopting flexible frame structure and advanced forward error correction coding compared with the 1 st generation DTTB systems.In order to increase the flexibility and robustness of the DTTB network,the frequency reuse scheme of factor one(reuse-1)is proposed,where the same RF channel is used by different stations covering the adjacent service areas.However,it demands a very low carrier-tonoise ratio(C/N)threshold below 0 dB at the DTTB physical layer.In this paper,a robust broadcasting technique is proposed based on DTMB-A with newly designed low-rate low density parity check(LDPC)codes.By adopting quasi-cyclic(QC)Raptor-like structure and progressive lifting method,the high performance low-rate LDPC codes are designed supporting multiple code lengths.Both density-evolution analyses and laboratory measurements demonstrate that DTMB-A with low-rate coding can complete the demodulation reliably with the C/N threshold below0 d B,which is one important necessary condition to support frequency reuse-1 scheme. | Chao Zhang Kewu Peng Zhitong He Yonglin Xue Hui Yang | 2022 | China Communications2022，19，3： | 2 |
| 3 | A Technology to Generate Fast-Edge Pulses Using Step Recovery Diode显示文摘 | GOU Yongsheng LIU Baiyu BAI Yonglin OUYANG Xian ZHANG Wei LI Yan XUE Yingdong | 2010 | Chinese Journal of Electronics2010，19，2： | 1 |
| 4 | Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability?显示文摘Plants sequester carbon through photosynthesis and provide primary productivity for the ecosystem. However, they also simultaneously consume water through transpiration, leading to a carbon-water balance relationship. Agricultural production can be regarded as a form of carbon sequestration behavior.From the perspective of the natural-social-economic complex ecosystem, excessive water usage in food production will aggravate regional water pressure for both domestic and industrial purposes. Hence, achieving a harmonious equilibrium between carbon and water resources during the food production process is a key scientific challenge for ensuring food security and sustainability. Digital intelligence(DI) and cyber-physical-social systems(CPSS) are emerging as the new research paradigms that are causing a substantial shift in the conventional thinking and methodologies across various scientific fields, including ecological science and sustainability studies. This paper outlines our recent efforts in using advanced technologies such as big data, artificial intelligence(AI), digital twins, metaverses, and parallel intelligence to model, analyze, and manage the intricate dynamics and equilibrium among plants, carbon, and water in arid and semiarid ecosystems. It introduces the concept of the carbon-water balance and explores its management at three levels: the individual plant level, the community level, and the natural-social-economic complex ecosystem level. Additionally, we elucidate the significance of agricultural foundation models as fundamental technologies within this context. A case analysis of water usage shows that, given the limited availability of water resources in the context of the carbon-water balance, regional collaboration and optimized allocation have the potential to enhance the utilization efficiency of water resources in the river basin. A suggested approach is to consider the river basin as a unified entity and coordinate the relationship between the upstream, midstream and downstream areas. Furthermore, establishing mechanisms for water resource transfer and trade among different industries can be instrumental in maximizing the benefits derived from water resources.Finally, we envisage a future of agriculture characterized by the integration of digital, robotic and biological farming techniques.This vision aims to incorporate small tasks, big models, and deep intelligence into the regular ecological practices of intelligent agriculture. | Yanfen Wang Mengzhen Kang Yali Liu Juanjuan Li Kai Xue Xiujuan Wang Jianqing Du Yonglin Tian Qinghua Ni Fei-Yue Wang | 2023 | IEEE/CAA Journal of Automatica Sinica2023，10，11： | 1 |
| 5 | High - precision Digital Synchronous System in the Physical Diagosis of Mutli - Bean Laser Target System 显示文摘 | Xue Yingdong Bai Yonglin Liu Baiyu | 2010 | Proc of SPIE2010，7656，： | 1 |
| 6 | Transcriptome-wide association analysis identified candidate susceptibility genes for nasopharyngeal carcinoma显示文摘Dear Editor,Nasopharyngeal carcinoma(NPC)is a common malignancy in East and Southeast Asia,especially in South China.The etiology of NPC has been linked to genetic susceptibility,Epstein-Barr virus(EBV)infection,and environmental factors.Accumulated evidence including multiple genome-wide association studies(GWASs)has revealed robust genetic predisposition of NPC.However,GWAS-identified genetic variants collectively account for only 8.2%of NPC heritability[1].The underlying inherited predisposition is largely undetermined.The strongest genetic signal for NPC consistently hits the human leukocyte antigen(HLA)region on 6p21[2].However,the highly polymorphic nature and complicated long-range linkage disequilibrium(LD)in the HLA region particularly obscure the causal variants driving the association.In addition,most genetic variants located in introns or intergenic regions.The causal genes mediating genetic effects on NPC risk have rarely been ascertained by GWAS alone. | Yong-Qiao He Wen-Qiong Xue Dan-Hua Li Tong-Min Wang Zhi-Ming Mai Da-Wei Yang Chang-Mi Deng Ying Liao Wen-Li Zhang Ruo-Wen Xiao Luting Luo Hua Diao Xiating Tong Yanxia Wu Jiang-Bo Zhang Ting Zhou Xi-Zhao Li Pei-Fen Zhang Xiao-Hui Zheng Shao-Dan Zhang Ye-Zhu Hu Minzhong Tang Yuming Zheng Yonglin Cai Ellen T.Chang Zhe Zhang Guangwu Huang Su-Mei Cao Qing Liu Lin Feng Ying Sun Maria Li Lung Hans-Olov Adami Weimin Ye Tai-Hing Lam Wei-Hua Jia | 2022 | Cancer Communications2022，42，9： | 0 |
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