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33 results on '"Chen, Zhenghong"'

1. Dietary Gnaphalium affine supplementation prevents fat accumulation and inflammation by regulating composition and metabolism of gut microbiota in high fat diet fed mice

Author

Wu, Daoyan, primary, Zhang, Qin, additional, Meng, Zixin, additional, Varier, Krishnapriya M., additional, Zhang, Andong, additional, Li, cXiaowei, additional, Gao, Xing, additional, Hua, Dengxiong, additional, Tian, Yiming, additional, Wu, Xiaojuan, additional, Wang, Fei, additional, Xiang, Song, additional, Zhang, Zhengrong, additional, Zhao, Jian, additional, Cui, Guzhen, additional, and Chen, Zhenghong, additional

Published
2024
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6. Immunogenicity and safety of booster CYD-TDV dengue vaccine after alternative primary vaccination schedules in healthy individuals aged 9–50 years: a randomised, controlled, phase 2, non-inferiority study

Author

Coronel-Martinez, Diana Leticia, primary, Park, Juliana, additional, López-Medina, Eduardo, additional, Capeding, María Rosario, additional, Bonfanti, Andrés Angelo Cadena, additional, Montalbán, María Cecilia, additional, Ramírez, Isabel, additional, Gonzales, María Liza Antoinette, additional, Zambrano, Betzana, additional, Dayan, Gustavo, additional, Chen, Zhenghong, additional, Wang, Hao, additional, Bonaparte, Matthew, additional, Rojas, Andrey, additional, Ramírez, Jenny Carolina, additional, Verdan, Mae Ann, additional, and Noriega, Fernando, additional

Published
2022
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8. Immunogenicity and safety of simplified vaccination schedules for the CYD-TDV dengue vaccine in healthy individuals aged 9–50 years (CYD65): a randomised, controlled, phase 2, non-inferiority study

Author

Coronel-MartÍnez, Diana Leticia, primary, Park, Juliana, additional, López-Medina, Eduardo, additional, Capeding, María Rosario, additional, Cadena Bonfanti, Andrés Angelo, additional, Montalbán, María Cecilia, additional, Ramírez, Isabel, additional, Gonzales, María Liza Antoinette, additional, DiazGranados, Carlos A, additional, Zambrano, Betzana, additional, Dayan, Gustavo, additional, Savarino, Stephen, additional, Chen, Zhenghong, additional, Wang, Hao, additional, Sun, Sunny, additional, Bonaparte, Matthew, additional, Rojas, Andrey, additional, Ramírez, Jenny Carolina, additional, Verdan, Mae Ann, additional, and Noriega, Fernando, additional

Published
2021
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17. Co-infection of Clostridioides (Clostridium) difficile GMU1 and Bacillus cereus GMU2 in one patient in Guizhou, China

Author

Hong, Wei, primary, Cheng, Yumei, additional, Rao, Fengqin, additional, Yang, Jing, additional, Cui, Guzhen, additional, Chen, Zhenghong, additional, Liao, Jian, additional, Huang, Xiaolin, additional, Zhang, Jie, additional, Wang, Pixiang, additional, Wang, Shaohua, additional, Wang, Yi, additional, Guan, Zhizhong, additional, and Qi, Xiaolan, additional

Published
2018
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18. Spatial and Temporal Variations of Heat Waves in China from 1961 to 2010

Author

Zheng Youfei, Ye Dian-Xiu, Chen Zhenghong, Yin Jifu, and Wu RongJun

Subjects
heat wave, Delta, Atmospheric Science, Global and Planetary Change, geography, South china, geography.geographical_feature_category, Drainage basin, duration, lcsh:QC851-999, Management, Monitoring, Policy and Law, Heat wave, frequency, Climatology, Period (geology), Yangtze river, lcsh:Meteorology. Climatology, lcsh:H1-99, lcsh:Social sciences (General), intensity, China, Environmental Sciences, Intensity (heat transfer), Geology
Abstract

Daily maximum temperatures from 753 stations across China and the heat wave indicators are used to study the temporal and spatial characteristics of heat wave intensity, frequency and heat wave days in China over the period of 1961–2010. The results show that high frequency, long duration and strong intensity of heat waves occurred in the Jianghuai area, Jiangnan area, and eastern Sichuan Basin. The highest frequency and the longest duration are located in northern Jiangxi and northern Zhejiang provinces, and the highest intensity in northern Zhejiang province is even more prominent. The frequency, heat wave days and intensity showed a general increasing trend in the past 50 years, while decadal characteristics are also observed with a decreasing trend from the 1960s to the early 1980s and increasing trend from the end of the 1980s to 2010. The regional variations demonstrate a significant increasing trend in the northern and western parts of North China, central-northern part of Northwest China, the central part of South China, the Yangtze River Delta and the southern Sichuan Basin, with an obvious decreasing trend in the southern Huanghuai area, northern Jianghuai area and Hanjiang River Basin. Citation Ye, D.-X., Yin, J.-F.,Chen, Z.-H., et al., 2014. Spatial and temporal variations of heat waves in China from 1961 to 2010. Adv. Clim. Change Res. 5(2), doi: 10.3724/SP.J.1248.2014.066.

Published
2014
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19. Climate Change Impacts on Central China and Adaptation Measures

Author

Chen Zhenghong, Wan Su-Qin, Wang Ji-Jun, Cui Jiang-Xue, Liao Yu-Fang, Liu Min, and Ren Yongjian

Subjects
Atmospheric Science, Global and Planetary Change, Meteorology, Impact assessment, Natural resource economics, Global warming, Climate change, Management, Monitoring, Policy and Law, Water resources, Extreme weather, Forest ecology, Environmental science, Ecosystem, Precipitation, Environmental Sciences
Abstract

In Central China, the obvious climate change has happened along with global warming. Based on the observational analysis, the climate change has significant effects, both positive and negative, in every field within the study area, and with the harmful effects far more prevalent. Under the scenario A1B, it is reported that temperature, precipitation, days of heat waves and extreme precipitation intensity will increase at respective rates of 0.38°C per decade, 12.6 mm per decade, 6.4 d and 47 mm per decade in the 21st century. It is widely believed that these climate changes in the future will result in some apparent impacts on agro-ecosystems, water resources, wetland ecosystem, forest ecosystem, human health, energy sectors and other sensitive fields in Central China. Due to the limited scientific knowledge and researches, there are still some shortages in the climate change assessment methodologies and many uncertainties in the climate prediction results. Therefore, it is urgent and essential to increase the studies of the regional climate change adaptation, extend the research fields, and enhance the studies in the extreme weather and climate events to reduce the uncertainties of the climate change assessments. Ren, Y.-J., J.-X. Cui, S.-Q. Wan, et al., 2013: Climate change impacts on central China and adaptation measures. Adv . Clim . Change Res ., 4 (4), doi: 10.3724/SP.J.1248.2013.215.

Published
2013

22. Change in flowering dates of Japanese Cherry Blossoms (P. yedoensis Mats.) on campus of Wuhan University and its relationship with variability of winter temperature

Author

Chen Zhenghong, Xiao Mei, and Chen Xuan

Subjects
Climatic data, Geography, Climate change, General Medicine, Physical geography, Negative correlation, Monthly average
Abstract

Change in first-flowering dates and its correlation with climatic factors was mainly analyzed, and several predicting models for the first-flowering dates were established based on the flowering dates of Japanese Cherry Blossoms ( P. yedoensis Mats.) during 1947–2008 on campus of Wuhan University and the climatic data in the same period. The results show that: 1) in 1947–2000, the first-flowering dates advanced with 2.17 d per decade, with an overall trend of 11.72 d in the 54 years, the fading dates were postponed for only 1.83 d in the same period, and the florescence duration increased by 13.55 d; 2) the first-flowering dates have negative correlation with monthly average temperature from December to March. The increasing winter (from December to February) temperature is the main reason for the advancement of the first-flowering dates. Per 1°C increase in average temperature of February and wintertime makes the first-flowering dates advance by 1.66 d and 2.86 d, respectively; 3) some statistical models of the first-flowering dates were built up with average temperature of February and wintertime based on the data during 1947–2000, and they are detected independently during 2001–2008.

Published
2008

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