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| 1 | RESEARCH OF WAVELET TRANSFORM INSTRUMENT SYSTEM FOR SIGNAL ANALYSIS显示文摘After brief describing the Principle of wavelet transform (WT) of signals, a new signals analysis system based on wavelet transform is introduced. The design and development of the instryment of wavelet transform are described. A number of practical uses of this system demonstrate that wavelet transform system is specially functional in identifying and processing impulse, singular and non-smooth signals, so that it should be evaluated the most advanced signal analyzing system. | Qin Shuren Chen Zhikui Tang Baoping Yang Changqi Xu Mingtao He Hui (Test Center, Chongqing University) | 2000 | Chinese Journal of Mechanical Engineering2000，13，2： | 11 |
| 2 | SAMPLING PRINCIPLE AND TECHNOLOGY IN WAVELET ANALYSIS FOR SIGNALS显示文摘0INTRODUCTIONInrecenttenyears,waveletanalysiswithgoodlocalizationcharacteristicsindomain-timeanddomain-frequencyhasbeendevelo... | Qin, Shuren Chen, Zhikui Xu, Mingtao Tang, Baoping | 1998 | Chinese Journal of Mechanical Engineering1998，11，4： | 4 |
| 3 | Incomplete high- dimensional data imputation algorithm using feature selec- tion and clustering analysis on cloud显示文摘 | Bu Fanyu Chen Zhikui Zhang Qingchen | 2015 | Journal of Super- computing2015，，： | 1 |
| 4 | A distributed weighted pos- sibilistic c-means algorithm for clustering incomplete big sensor data显示文摘 | Zhang Qingchen Chen Zhikui | 2014 | International Journal of Distributed Sensor Networks2014，，： | 1 |
| 5 | A Context-Aware Routing Protocol on Internet of Things Based on Sea computing Model 显示文摘 | Zhikui Chen Haozhe Wang | 2012 | Journal of Computers2012，7，1： | 1 |
| 6 | A Context-Aware Routing Protocal on Internet of Things Based on Sea Computing Model显示文摘 | CHEN Zhikui WANG Haozhe LIU Yang | 2012 | Journal of Computers2012，7，1： | 1 |
| 7 | A localization method for the internet of things显示文摘 | CHEN Zhikui XIA Feng HUANG Tao | 2013 | Journal of Supercomputing2013，63，3： | 1 |
| 8 | A weighted kernel possi- bilistic c-means algorithm based on cloud computing for clustering big data显示文摘 | Zhang Qingchen Chen Zhikui | 2014 | International Journal of Communi- cation Systems2014，27，9： | 1 |
| 9 | A weighted kernel possi- bilistic c-means algorithm based on cloud computing for clustering big data显示文摘 | Zhang Qingchen Chen Zhikui | 2014 | International Journal of Communi- cation Systems2014，27，9： | 1 |
| 10 | Virus-inducible IGFALS facilitates innate immune responses by mediating IRAK1 and TRAF6 activation显示文摘Activation of TLR signaling is a first line of the host defense system in the elimination of invading pathogens.1 Insulin-like growth factor binding protein, acid-labile subunit (IGFALS) is a leucine-rich glycoprotein. By prolonging the half-life of IGF-I in the vascular system,2 IGFALS regulates the bioavailability of IGF, which is crucial for normal growth and development and metabolic regulation.3,4 However, the role of IGFALS in antiviral innate immune responses has not been established. In this study, we found that IGFALS is virus inducible, while it in turn inhibits viral replication. Mechanistically, IGFALS directly associates with IRAK1 and TRAF6, facilitating IRAK1/TRAF6 complex formation and enhancing K63-linked polyubiquitination of both proteins for full activation, thereby facilitating antiviral signaling. | Gang Xu Feiyan Deng Qi Zuo Lin Liu Kaiwen Dou Zhikui Cheng Wei Cao Chuanjin Luo Chen Yu Shi Liu Ying Zhu | 2021 | Cellular & Molecular Immunology2021，18，6： | 0 |
| 11 | Sulfide metallogenic model for the ultraslow-spreading Southwest Indian Ridge显示文摘Polymetallic sulfides present in mid-ocean ridges(MORs)have become important strategic resources for humans,and a scientific metallogenic model is necessary for the investigation and exploration of these resources.Compared to fast-and slow-spreading MORs,ultraslow-spreading MORs show substantial differences in magma supply,tectonic activity,and oceanic crust structures.However,information on hydrothermal circulation and a metallogenic model related to sulfides along the ultraslow-spreading ridges is still limited,which hinders further exploration of these resources.In this study,the distribution of hydrothermal activities,as well as the characteristics of the structures,heat sources,fluid pathways,host rock types,fluid properties,and sulfide assemblages in typical hydrothermal fields along the ultraslow-spreading Southwest Indian Ridge(SWIR),have been studied.It is concluded that the hydrothermal systems along the SWIR can be categorized into three types,including local enhanced magma-controlled,one-way detachment/high-angle large-offset fault-controlled,and flip-flop detachment-controlled types,which are further categorized into five subtypes based on their distinct geological backgrounds.Herein,we present a sulfide metallogenic model called Local Enhanced Heat Supply-Deep Faults(eHeat-dFault)for the SWIR.The overall spreading rate remains almost constant(14-18 mm/year),while the magma supply is heterogeneous in the segment scale along the SWIR.Over the past two decades,various hydrothermal systems and sulfide deposits have been identified along the SWIR.A deep magma chamber(4-9 km)is developed in the ridge segment with sufficient magma supply owing to the local enhanced magma supply,while long-lived active deep detachment faults(up to 13 km)with associated metallogenic belts are developed in ridge segments with poor magma supply.Hence,the ultraslow-spreading MORs fulfill the necessary conditions of a sustained heat source and stable hydrothermal pathway for the formation of large-scale polymetallic sulfide deposits.The number of hydrothermal fields detected in the investigation area is 2-3 times that predicted by the traditional Spreading Rate-Magma Flux model,demonstrating its significant endowment for sulfide resources.A balance between magma supply and faulting may influence the type and depth of hydrothermal circulation,the frequency of hydrothermal activity along the axis,and the scale of sulfide deposits.Spreading rate was previously believed to control heat sources,magma supply,and tectonic processes.However,for the SWIR,we suggest that local enhanced heat supply and deep detachment faults have a greater influence than the spreading rate on hydrothermal circulation and sulfide mineralization.The eHeat-dFault sulfide metallogenic model proposed herein could provide guidance for further exploration and research on polymetallic sulfides in ultraslow-spreading SWIR. | Chunhui TAO Zhikui GUO Jin LIANG Teng DING Weifang YANG Shili LIAO Ming CHEN Fei ZHOU Jie CHEN Nannan WANG Xiaohe LIU Jianping ZHOU | 2023 | Science China Earth Sciences2023，66，6： | 0 |
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