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| 1 | Pediatric reference intervals in China(PRINCE):design and rationale for a large,multicenter collaborative cross-sectional study显示文摘There is a lack of accurate pediatric reference intervals(RIs) in China, with most commonly used RIs established without consideration of the effect of age and gender. The Pediatric Reference Intervals in China(PRINCE) project aims to establish and verify pediatric RIs for 31 common laboratory measurands.The project will be a large, multicenter cross-sectional study:14,490 healthy children and adolescents aged up to 19 years will be surveyed by 10 children's hospitals and one pediatric department of a university hospital. To evaluate the feasibility and efficiency of the study methods, 602 children were surveyed in the pilot phase of the PRINCE study in April 2017: it found that some measurands were distinctly age dependent and that there were differences between values for males and females. The results of the pilot study affirmed the necessity of the PRINCE project for Chinese pediatrics. The pilot also indicated potential difficulties in the full survey, e.g., difficulties in recruiting children aged under 3 years and insufficient collection of blood samples from infants. The operation of the PRINCE project has been modified based on the findings in the pilot study toward improving the validity of the PRINCE project and promoting its openness and transparency. | Xin Ni Wenqi Song Xiaoxia Peng Ying Shen Yaguang Peng Qiliang Li Yan Wang Lixin Hu Yanying Cai Hong Shang Min Zhao Hong Jiang Yaoguo Huang Runqing Mu Wenxiang Chen Mingting Peng Chuanbao Zhang Jie Zeng Chenbin Li Hongling Yang Yongmei Jiang Jin Xu Guixia Li Hongbing Chen Yun Xiang Sancheng Cao Zhenxin Guo Dapeng Chen | 2018 | Science Bulletin2018，63，24： | 12 |
| 2 | Fabrication of Regular Hierarchical Structures with Superhydrophobic and High Adhesion Performances on a 304 Stainless Steel Surface via Picosecond Laser显示文摘Hierarchical structures significantly influence the development of metal surface wettability.In this study,three kinds of hierarchical structures fbimed by the superimposition of different nanoscale(quasi-)periodic structures on micro-column arrays were fabricated on 304 stainless steel surfaces via picosecond laser irradiation.Scanning Electron Microscope(SEM)and Confocal Laser Scanning Microscope(CLSM)were used to characterize the created hierarchical structures.An optical contact angle meter was used to analyse the wetting performances.The results show that the surfaces of these fabricated samples have superhydrophobic properties and strong adhesion per formances,which can be attributed to the formation of hierarchical structure that causes a reduction in the liquid-solid contact area and the change in the direction of surfece tension.By controlling the dimensionof the nanotextures on the micro-column arrays,the hydrophobic property of 304 stainless steel surfaces can be greatly improved. | Chenbin Ma Min Kang Xingsheng Wang Ninghui Li Wei Hong Chenyu Li An Yang | 2019 | Journal of Bionic Engineering2019，16，5： | 2 |
| 3 | Adsorption of p-chlorophenol from aqueous solution on modified corncob 显示文摘 | LI Ning XIONG Xiaoli SHAO Chenbin | 2011 | Fresenius Environ Bull2011，20，3： | 1 |
| 4 | Anterior Myocardial Territory May Replace the Heart as Organ at Risk in Intensity-Modulated Radiotherapy for Left-Sided Breast Cancer显示文摘 | Wenyong Tan Dong Liu Chenbin Xue Jiaozhen Xu Beihui Li Zhengwang Chen Desheng Hu Xionghong Wang | 2012 | International Journal of Radiation Oncology Biology Physics2012，，5： | 1 |
| 5 | Investigation on weld a bility of magnesium alloy thin sheet T-joints:are weld ing, laser welding, and laser-arc hybrid welding 显示文摘 | LI CHENBIN LIU LIMING | 2013 | Technology2013，，65： | 1 |
| 6 | Anterior Myocardial Territory May Replace the Heart as Organ at Risk in Intensity-Modulated Radiotherapy for Left-Sided Breast Cancer显示文摘 | Wenyong Tan Dong Liu Chenbin Xue Jiaozhen Xu Beihui Li Zhengwang Chen Desheng Hu Xionghong Wang | 2012 | International Journal of Radiation Oncology Biology Physics2012，，5： | 1 |
| 7 | A New Hybrid Machine Learning Model for Short-Term Climate Prediction by Performing Classification Prediction and Regression Prediction Simultaneously显示文摘Machine learning methods are effective tools for improving short-term climate prediction.However,commonly used methods often carry out classification and regression prediction modeling separately and independently.Such a single modeling approach may obtain inconsistent prediction results in classification and regression and thus may not meet the needs of practical applications well.To address this issue,this study proposes a selective Naive Bayes ensemble model(SENB-EM)by introducing causal effect and voting strategy on Naive Bayes.The new model can not only screen effective predictors but also perform classification and regression prediction simultaneously.After being applied to the area prediction of summer western North Pacific subtropical high(WNPSH)from 2008 to 2021,it is found that the accuracy classification score(a metric to assess the overall classification prediction accuracy)and the time correlation coefficient(TCC)of SENB-EM can reach 1.0 and 0.81,respectively.After integrating the results of different models[including multiple linear regression ensemble model(MLR-EM),SENB-EM,and Chinese Multimodel Ensemble Prediction System(CMME)used by National Climate Center(NCC)]for 2017-2021,the TCC of the ensemble results of SENB-EM and CMME can reach 0.92(the highest result among them).This indicates that the prediction results of the summer WNPSH area provided by SENB-EM have a high reference value for the real-time prediction.It is worth noting that,except for the numerical prediction results,the SENB-EM model can also give the range of numerical prediction intervals and predictions for anomalous degrees of the WNPSH area,thus providing more reference information for meteorological forecasters.Overall,as a new hybrid machine learning model,the SENB-EM has a good prediction ability;the approach of performing classification prediction and regression prediction simultaneously through integration is informative to short-term climate prediction. | Deqian LI Shujuan HU Jinyuan GUO Kai WANG Chenbin GAO Siyi WANG Wenping HE | 2022 | Journal of Meteorological Research2022，36，6： | 0 |
| 8 | Paneth cells in farm animals:current status and future direction显示文摘A healthy intestine plays an important role in the growth and development of farm animals.In small intestine,Paneth cells are well known for their regulation of intestinal microbiota and intestinal stem cells(ISCs).Although there has been a lot of studies and reviews on human and murine Paneth cells under intestinal homeostasis or disorders,little is known about Paneth cells in farm animals.Most farm animals possess Paneth cells in their small intestine,as identified by various staining methods,and Paneth cells of various livestock species exhibit noticeable differences in cell shape,granule number,and intestinal distribution.Paneth cells in farm animals and their antimicrobial peptides(AMPs)are susceptible to multiple factors such as dietary nutrients and intestinal infection.Thus,the comprehensive understanding of Paneth cells in different livestock species will contribute to the improvement of intestinal health.This review first summarizes the current status of Paneth cells in pig,cattle,sheep,horse,chicken and rabbit,and points out future directions for the investigation of Paneth cells in the reviewed animals. | Chenbin Cui Lindeng Li Lin Wu Xinru Wang Yao Zheng Fangke Wang Hongkui Wei Jian Peng | 2023 | Journal of Animal Science and Biotechnology2023，14，6： | 0 |
| 9 | Holocene temperature variation recorded by branched glycerol dialkyl glycerol tetraethers in a loess-paleosol sequence from the north-eastern Tibetan Plateau显示文摘Reconstructing Holocene temperature evolution is important for understanding present temperature variations and for predicting future climate change,in the context of global warming.The evolution of Holocene global temperature remains disputed,due to differences between proxy reconstructions and model simulations,a discrepancy known as the῾Holocene temperature conundrum᾽.More reliable and quantitative terrestrial temperature records are needed to resolve the spatial heterogeneity of existing records.In this study,based on the analysis of branched glycerol dialkyl glycerol tetraethers(brGDGTs)from a loess-paleosol sequence from the Ganjia Basin in the north-eastern Tibetan Plateau(NETP),we quantitatively reconstructed the mean annual air temperature(MAAT)over the past 12 ka.The MAAT reconstruction shows that the temperature remained low during the early Holocene(12−8 ka),followed by a rapid warming at around 8 ka.From 8 to 4 ka,the MAAT record reached its highest level,followed by a cooling trend from the late Holocene(4−0 ka).The variability of the reconstructed MAAT is consistent with trends of annual temperature records from the Tibetan Plateau(TP)during the Holocene.We attribute the relatively low temperatures during the early Holocene to the existence of ice sheets at high-latitude regions in the Northern Hemisphere and the weaker annual mean insolation at 35°N.During the mid to late Holocene,the long-term cooling trend in the annual temperature record was primarily driven by declining summer insolation.This study provides key geological evidence for clarifying Holocene temperature change in the TP. | Tianxiao WANG Duo WU Tao WANG Lin CHEN Shilong GUO Youmo LI Chenbin ZHANG | 2023 | Frontiers of Earth Science2023，17，4： | 0 |
| 10 | China Biodiversity Observation Network for better global sustainability developments显示文摘Biodiversity is undergoing unprecedented changes characterized by long-term,complex,and lagging consequences[1].Understanding the dynamic changes of biodiversity is essential for the conservation of biodiversity[2].Biodiversity monitoring is periodic measurements of biodiversity within a given area,such as data collection regarding the structure and function of ecosystems,the composition and distribution of species,and environmental factors.Based on the collected data,analyses could be performed to determine the trends of biodiversity change and potential drivers and assist in the evaluation of conservation effectiveness and decision-making[2,3]. | Jianfeng Yi Fangzhou Ma Jiaqi Li Wei Liu Yun Cao Yaqiong Wan Chenbin Wang Mengmeng Chen Dandan Yu Haigen Xu | 2022 | Eco-Environment & Health2022，1，4： | 0 |
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