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Analysis of Anomalous Enhancement in TEC and Electron Density in the China Region Prior to the 17 March 2015 Geomagnetic Storm Based on Ground and Space Observations 被引量:1
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作者 Xiaoyun chenG Dongjie YUE +2 位作者 Changzhi ZHAI yutian chen Xunzhe YIN 《Journal of Geodesy and Geoinformation Science》 CSCD 2023年第2期40-50,共11页
Total Electron Content(TEC)and electron density enhancement were observed on the day before 17 March 2015 great storm in the China Region.Observations from ground-and space-based instruments are used to investigate th... Total Electron Content(TEC)and electron density enhancement were observed on the day before 17 March 2015 great storm in the China Region.Observations from ground-and space-based instruments are used to investigate the temporal and spatial evolution of the pre-storm enhancement.TEC enhancement was observed from 24°N to 30°N after 10:00 UT at 105°E,110°E and 115°E longitudes on March 16.The maximum magnitude of TEC enhancement was more than 10 TECU and the maximal relative TEC enhancement exceeded 30%.Compared with geomagnetic quiet days,the electron density of Equatorial Ionization Anomaly(EIA)northern peak from Swarm A/C satellites on March 16 was larger and at higher latitudes.NmF2 enhanced during 11:30—21:00 UT at Shaoyang Station and increased by 200%at~16:00 UT.However,TEC and electron density enhancement were not accompanied by a significant change of hmF2.Most research has excluded some potential mechanisms as the main driving factors for storm-time density enhancements by establishing observational constraints.In this paper,we observed pre-storm enhancement in electron density at different altitudes and Equatorial Electrojet(EEJ)strength results derived from ground magnetometers observations suggest an enhanced eastward electric field from the E region probably played a significant role in this event. 展开更多
关键词 Equatorial Ionization Anomaly(EIA) electron density geomagnetic storm Total Electron Content(TEC) zonal electric field
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Suppression of Plasma Bubbles over South America under Weak Geomagnetic Perturbations 被引量:1
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作者 Xunzhe YIN Dongjie YUE +2 位作者 Changzhi ZHAI yutian chen Xiaoyun chenG 《Journal of Geodesy and Geoinformation Science》 CSCD 2023年第4期48-69,共22页
During a long-term Equatorial Plasma Bubbles(EPBs)occurrence between October 2020 and March 2021,a significant EPB suppression event was identified on November 22 and the observations from multi-instrument have been u... During a long-term Equatorial Plasma Bubbles(EPBs)occurrence between October 2020 and March 2021,a significant EPB suppression event was identified on November 22 and the observations from multi-instrument have been utilized to investigate this event.Global-scale Observations of the Limb and Disk(GOLD)satellite observed prominent EPBs between 23:40 UT and 23:55 UT during the long-term occurrence days.However,no dark stripes representing EPBs were observed on November 22,and the Equatorial Ionization Anomaly(EIA)structure remained intact.The Total Electron Content(TEC)maps show that these EPBs appeared in the region between 35°W and 65°W longitudes and the magnitudes of the TEC loss in EPBs regions were about 20 TECU.Except for 22 November,the S4 index was consistently greater than 0.6 throughout November,indicating significant ionospheric scintillation.The Rate Of TEC Index(ROTI)maps revealed that the spatial extent and intensity of EPBs increased after their suppression,and the EPBs were locally generated.The swarm electron density measurements indicated that the variation amplitudes of EPBs at 510 km altitude were approximately 3 to 5 times larger than that at 460 km altitude.The impact region of EPBs at 510 km was between 15°S and 20°N latitudes,while at 460 km,it was between 0°and 17°N latitudes.During the period of EPB suppression,the average h’f at three ionosonde stations decreased by about 50 km,and the vertical drift velocity(V z)approached~0 m/s while it was more than 20 m/s during the long-term occurrence. 展开更多
关键词 plasma bubble ionospheric scintillation weak geomagnetic perturbations
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Entry and technology transfer in a Cournot model
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作者 yutian chen Debapriya Sen 《Chinese Business Review》 2010年第10期12-19,共8页
关键词 古诺模型 技术转移 技术创新 外国公司 国内企业 外国企业 国内市场 技术转让
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Mitochondrial Regulation of Macrophages in Innate Immunity and Diverse Roles of Macrophages During Cochlear Inflammation
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作者 Yuan Zhang Fanglei Ye +8 位作者 Xiaolong Fu Shen Li Le Wang yutian chen Hongmin Li Shaojuan Hao Kun Zhao Qi Feng Peipei Li 《Neuroscience Bulletin》 SCIE CAS CSCD 2024年第2期255-267,共13页
Macrophages are essential components of the innate immune system and constitute a non-specific first line of host defense against pathogens and inflammation.Mitochondria regulate macrophage activation and innate immun... Macrophages are essential components of the innate immune system and constitute a non-specific first line of host defense against pathogens and inflammation.Mitochondria regulate macrophage activation and innate immune responses in various inflammatory diseases,including cochlear inflammation.The distribution,number,and morphological characteristics of cochlear macrophages change significantly across different inner ear regions under various pathological conditions,including noise exposure,ototoxicity,and age-related degeneration.However,the exact mechanism underlying the role of mitochondria in macrophages in auditory function remains unclear.Here,we summarize the major factors and mitochondrial signaling pathways(e.g.,metabolism,mitochondrial reactive oxygen species,mitochondrial DNA,and the inflammasome)that influence macrophage activation in the innate immune response.In particular,we focus on the properties of cochlear macrophages,activated signaling pathways,and the secretion of inflammatory cytokines after acoustic injury.We hope this review will provide new perspectives and a basis for future research on cochlear inflammation. 展开更多
关键词 MACROPHAGE MITOCHONDRIA Innate immunity COCHLEA Infammation
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Biomarkers of aging 被引量:4
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作者 Aging Biomarker Consortium Hainan Bao +123 位作者 Jiani Cao Mengting chen Min chen Wei chen Xiao chen Yanhao chen Yu chen yutian chen Zhiyang chen Jagadish K Chhetri Yingjie Ding Junlin Feng Jun Guo Mengmeng Guo Chuting He Yujuan Jia Haiping Jiang Ying Jing Dingfeng Li Jiaming Li Jingyi Li Qinhao Liang Rui Liang Feng Liu Xiaoqian Liu Zuojun Liu Oscar Junhong Luo Jianwei Lv Jingyi Ma Kehang Mao Jiawei Nie Xinhua Qiao Xinpei Sun Xiaoqiang Tang Jianfang Wang Qiaoran Wang Siyuan Wang Xuan Wang Yaning Wang Yuhan Wang Rimo Wu Kai Xia Fu-Hui Xiao Lingyan Xu Yingying Xu Haoteng Yan Liang Yang Ruici Yang Yuanxin Yang Yilin Ying Le Zhang Weiwei Zhang Wenwan Zhang Xing Zhang Zhuo Zhang Min Zhou Rui Zhou Qingchen Zhu Zhengmao Zhu Feng Cao Zhongwei Cao Piu Chan Chang chen Guobing chen Hou-Zao chen Jun chen Weimin Ci Bi-Sen Ding Qiurong Ding Feng Gao Jing-Dong JHan Kai Huang Zhenyu Ju Qing-Peng Kong Ji Li Jian Li Xin Li Baohua Liu Feng Liu Lin Liu Qiang Liu Qiang Liu Xingguo Liu Yong Liu Xianghang Luo Shuai Ma Xinran Ma Zhiyong Mao Jing Nie Yaojin Peng Jing Qu Jie Ren Ruibao Ren Moshi Song Zhou Songyang Yi Eve Sun Yu Sun Mei Tian Shusen Wang Si Wang Xia Wang Xiaoning Wang Yan-Jiang Wang Yunfang Wang Catherine CL Wong Andy Peng Xiang Yichuan Xiao Zhengwei Xie Daichao Xu Jing Ye Rui Yue Cuntai Zhang Hongbo Zhang Liang Zhang Weiqi Zhang Yong Zhang Yun-Wu Zhang Zhuohua Zhang Tongbiao Zhao Yuzheng Zhao Dahai Zhu Weiguo Zou Gang Pei Guang-Hui Liu 《Science China(Life Sciences)》 SCIE CAS CSCD 2023年第5期893-1066,共174页
Aging biomarkers are a combination of biological parameters to(i)assess age-related changes,(ii)track the physiological aging process,and(iii)predict the transition into a pathological status.Although a broad spectrum... Aging biomarkers are a combination of biological parameters to(i)assess age-related changes,(ii)track the physiological aging process,and(iii)predict the transition into a pathological status.Although a broad spectrum of aging biomarkers has been developed,their potential uses and limitations remain poorly characterized.An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research:How old are we?Why do we get old?And how can we age slower?This review aims to address this need.Here,we summarize our current knowledge of biomarkers developed for cellular,organ,and organismal levels of aging,comprising six pillars:physiological characteristics,medical imaging,histological features,cellular alterations,molecular changes,and secretory factors.To fulfill all these requisites,we propose that aging biomarkers should qualify for being specific,systemic,and clinically relevant. 展开更多
关键词 AGING SENESCENCE BIOMARKER CLOCK
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