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162 results on '"Zheng, Nan"'

21. The transfer of maternal antibodies and dynamics of maternal and natural infection-induced antibodies against coxsackievirus A16 in Chinese children 0–13 years of age: a longitudinal cohort study

Author

Zhou, Jiaxin, Zhou, Yonghong, Luo, Kaiwei, Liao, Qiaohong, Zheng, Wen, Gong, Hui, Shi, Huilin, Zhao, Shanlu, Wang, Kai, Qiu, Qi, Dai, Bingbing, Ren, Lingshuang, Wang, Lili, Gao, Lidong, Xu, Meng, Liu, Nuolan, Lu, Wanying, Zheng, Nan, Chen, Xinhua, Chen, Zhiyuan, Yang, Juan, Cauchemez, Simon, Yu, Hongjie, Fudan University [Shanghai], Hunan provincial center for disease control and prevention, Anhua County Center for Disease Control and Prevention [Yiyang, China], Modélisation mathématique des maladies infectieuses - Mathematical modelling of Infectious Diseases, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), This work was supported by the Key Program of the National Natural Science Foundation of China (82130093), Li Ka Shing Oxford Global Health Programme (No. LG33), AXA Research Fund, the Investissement d’Avenir program, Laboratoire d’Excellence Integrative Biology of Emerging Infectious Diseases program (Grant ANR-10-LABX-62-IBEID), Models of Infectious Disease Agent Study of the National Institute of General Medical Sciences, INCEPTION project (PIA/ANR-16-CONV-0005), Chinese Preventive Medicine Association (No. 20101801), Hunan Provincial Natural Science Foundation (2019JJ80115), and the Scientific Research Project of Hunan Provincial Health Commission (B2019039)., ANR-10-LABX-0062,IBEID,Integrative Biology of Emerging Infectious Diseases(2010), and ANR-16-CONV-0005,INCEPTION,Institut Convergences pour l'étude de l'Emergence des Pathologies au Travers des Individus et des populatiONs(2016)

Subjects
China, Infant, Newborn, Infant, General Medicine, Antibodies, Neutralizing, Enterovirus A, Human, Cohort Studies, Seroepidemiologic Studies, Child, Preschool, Animals, Humans, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Longitudinal Studies, Child, Hand, Foot and Mouth Disease, Enterovirus
Abstract

Background A major hand-foot-and-mouth disease (HFMD) pathogen, coxsackievirus A16 (CVA16), has predominated in several of the last 10 years and caused the largest number of HFMD outbreaks between 2011 and 2018 in China. We evaluated the efficacy of maternal anti-CVA16 antibody transfer via the placenta and explored the dynamics of maternal and natural infection-induced neutralizing antibodies in children. Methods Two population-based longitudinal cohorts in southern China were studied during 2013–2018. Participants were enrolled in autumn 2013, including 2475 children aged 1–9 years old and 1066 mother-neonate pairs, and followed for 3 years. Blood/cord samples were collected for CVA16-neutralizing antibody detection. The maternal antibody transfer efficacy, age-specific seroprevalence, geometric mean titre (GMT) and immune response kinetics were estimated. Results The average maternal antibody transfer ratio was 0.88 (95% CI 0.80–0.96). Transferred maternal antibody levels declined rapidly (half-life: 2.0 months, 95% CI 1.9–2.2 months). The GMT decayed below the positive threshold (8) by 1.5 months of age. Due to natural infections, it increased above 8 after 1.4 years and reached 32 by 5 years of age, thereafter dropping slightly. Although the average duration of maternal antibody-mediated protection was < 3 months, the duration extended to 6 months on average for mothers with titres ≥ 64. Conclusions Anti-CVA16 maternal antibodies are efficiently transferred to neonates, but their levels decline quickly. Children aged 0–5 years are the main susceptible population and should be protected by CVA16 vaccination, with the optimal vaccination time between 1.5 months and 1 year of age.

Published
2022

37. Vibration characteristics of multi-parametric excitations and multi-frequency external excitations of rolling mill under entry thickness fluctuation of strip

Author

Zheng-nan Sun, Da-wu Guo, Dong-xiao Hou, and Teng Xu

Subjects
010302 applied physics, Physics, Computer simulation, Singularity theory, 0211 other engineering and technologies, Metals and Alloys, Characteristic equation, 02 engineering and technology, Mechanics, 01 natural sciences, Vibration, Nonlinear system, Amplitude, Mechanics of Materials, 0103 physical sciences, Materials Chemistry, Bifurcation, 021102 mining & metallurgy, Multiple-scale analysis
Abstract

A dynamic rolling force model with multi-parametric excitations and multi-frequency external excitations caused by entry thickness fluctuation of strip was established. Based on the dynamic rolling force, a nonlinear vertical vibration model with multi-parametric excitations and multi-frequency external excitations was established. The method of multiple scales was used to solve the amplitude-frequency characteristic equation of primary resonance of the nonlinear vibration system of a rolling mill. The transition set and the topology structure of systematic global bifurcation were obtained by using the singularity theory. Finally, primary resonance characteristics of the system under entry thickness fluctuation of strip were analyzed by using actual parameters of the rolling mill. The global bifurcation curves with the change of amplitude and frequency of entry thickness fluctuation of strip were obtained by using numerical simulation, and many dynamic behaviors were found such as single-cycle motion, multi-cycle motion and chaotic motion, which can provide a theoretical reference for further restraining the vibration of a rolling mill.

Published
2020

38. Prediction of long-term kinetics of vaccine-elicited neutralizing antibody and time-varying vaccine-specific efficacy against the SARS-CoV-2 Delta variant by clinical endpoint

Author

Chen, Xinhua, primary, Wang, Wei, additional, Chen, Xinghui, additional, Wu, Qianhui, additional, Sun, Ruijia, additional, Ge, Shijia, additional, Zheng, Nan, additional, Lu, Wanying, additional, Yang, Juan, additional, Rodewald, Lance, additional, and Yu, Hongjie, additional

Published
2022
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47. The morphology, biomechanics, and physiological function of the suboccipital myodural connections

Author

Ma, Yue, primary, Tang, Wei, additional, Gong, De-Zheng, additional, Li, Xing-Yi, additional, Zhang, Jing-Hui, additional, Sun, Jia-Hui, additional, Wang, Bing, additional, Zhang, Ying, additional, Chen, Yu-Xiao, additional, Zhang, Zhi-Hong, additional, Zheng, Nan, additional, Okoye, Chukwuemeka Samuel, additional, Chi, Yan-Yan, additional, Wu, Cheng-Wei, additional, Yu, Sheng-Bo, additional, and Sui, Hong-Jin, additional

Published
2021
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48. An Improved dynamic self-adaption cuckoo search algorithm based on collaboration between subpopulations

Author

Shu-xia Li, Jie-sheng Wang, Shu-fang Li, Zheng-nan Lv, and Ma Huisheng

Subjects
0209 industrial biotechnology, education.field_of_study, business.industry, Computer science, Population, Particle swarm optimization, 02 engineering and technology, 020901 industrial engineering & automation, Local optimum, Rate of convergence, Nest, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Benchmark (computing), 020201 artificial intelligence & image processing, Local search (optimization), Cuckoo search, education, business, Algorithm, Software
Abstract

In order to improve convergence rate and optimization precision of the cuckoo search (CS) algorithm, an improved dynamic self-adaption cuckoo search algorithm based on collaboration between subpopulations (SC-DSCS, where ‘SC’ represents ‘Subpopulation Collaboration,’ ‘DS’ represents ‘dynamic self-adaption’) is proposed. In SC-DSCS, the population of cuckoos is divided into two subgroups. The nest locations of birds belonging to the first subgroup are updated according to the traditional CS algorithm so as to retain the global search ability, and the second subgroup produces the corresponding nest locations for next generation by flying from the better nest locations to enhance the local search ability of the CS algorithm. Through collaboration between two subgroups, the problem that the local search ability of CS algorithm is not strong can be effectively solved. In order to reduce the probability of the algorithm falling into local optimum and improve the optimization precision, the SC-DSCS algorithm creates a new bird’s nest under the comprehensive assessment of the first three best bird’s nests. The new nest is added to the optimal bird’s nest sequence. In order to improve the adaptability of the SC-DSCS, adaptive step length control is adopted in the bird’s nest position updating process. Finally, nine benchmark functions are adopted to carry out the simulation experiments. The proposed algorithm is compared with particle swarm optimization algorithm, artificial colony algorithm and differential evolution algorithm. Simulation results show that the proposed SC-DSCS algorithm has better convergence speed and optimization precision.

Published
2018

50. Manganese nanodepot augments host immune response against coronavirus

Author

Sun, Yizhe, primary, Yin, Yue, additional, Gong, Lidong, additional, Liang, Zichao, additional, Zhu, Chuanda, additional, Ren, Caixia, additional, Zheng, Nan, additional, Zhang, Qiang, additional, Liu, Haibin, additional, Liu, Wei, additional, You, Fuping, additional, Lu, Dan, additional, and Lin, Zhiqiang, additional

Published
2020
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