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| 1 | New innovations in pavement materials and engineering:A review on pavement engineering research 2021显示文摘Sustainable and resilient pavement infrastructure is critical for current economic and environmental challenges.In the past 10 years,the pavement infrastructure strongly supports the rapid development of the global social economy.New theories,new methods,new technologies and new materials related to pavement engineering are emerging.Deterioration of pavement infrastructure is a typical multi-physics problem.Because of actual coupled behaviors of traffic and environmental conditions,predictions of pavement service life become more and more complicated and require a deep knowledge of pavement material analysis.In order to summarize the current and determine the future research of pavement engineering,Journal of Traffic and Transportation Engineering(English Edition)has launched a review paper on the topic of'New innovations in pavement materials and engineering:A review on pavement engineering research 2021'.Based on the joint-effort of 43 scholars from 24 well-known universities in highway engineering,this review paper systematically analyzes the research status and future development direction of 5 major fields of pavement engineering in the world.The content includes asphalt binder performance and modeling,mixture performance and modeling of pavement materials,multi-scale mechanics,green and sustainable pavement,and intelligent pavement.Overall,this review paper is able to provide references and insights for researchers and engineers in the field of pavement engineering. | JTTE Editorial Office Jiaqi Chen Hancheng Dan Yongjie Ding Yangming Gao Meng Guo Shuaicheng Guo Bingye Han Bin Hong Yue Hou Chichun Hu Jing Hu Ju Huyan Jiwang Jiang Wei Jiang Cheng Li Pengfei Liu Yu Liu Zhuangzhuang Liu Guoyang Lu Jian Ouyang Xin Qu Dongya Ren Chao Wang Chaohui Wang Dawei Wang Di Wang Hainian Wang Haopeng Wang Yue Xiao Chao Xing Huining Xu Yu Yan Xu Yang Lingyun You Zhanping You Bin Yu Huayang Yu Huanan Yu Henglong Zhang Jizhe Zhang Changhong Zhou Changjun Zhou Xingyi Zhu | 2021 | Journal of Traffic and Transportation Engineering(English Edition)2021，8，6： | 7 |
| 2 | Sorption enhancement of 1-naphthol onto a hydrophilic hyper-cross-linked polymer resin显示文摘 | Weiming Zhang Changhong Hong Bingcai Pan Qingjian Zhang Peijuan Jiang Kun Jia | 2008 | Journal of Hazardous Materials2008，，1： | 1 |
| 3 | Vacuum ultraviolet spectrum of TbP5O14 crystal显示文摘 | HONG Guangyan ZENG Xiaoqing KIM Changhong | 2000 | J Synth Cryst(in Chinese)2000，29，5： | 1 |
| 4 | Removal enhancement of 1-naphthol and 1-naphthylamine in single and binary aqueous phase by acid basic interactions with polymer adsorbents显示文摘 | Zhang Weiming Hong Changhong Pan Bingcai | 2008 | J Hazard Mater2008，158，23： | 1 |
| 5 | Brain Functional Network Generation Using Distribution-Regularized Adversarial Graph Autoencoder with Transformer for Dementia Diagnosis显示文摘The topological connectivity information derived from the brain functional network can bring new insights for diagnosing and analyzing dementia disorders.The brain functional network is suitable to bridge the correlation between abnormal connectivities and dementia disorders.However,it is challenging to access considerable amounts of brain functional network data,which hinders the widespread application of data-driven models in dementia diagnosis.In this study,a novel distribution-regularized adversarial graph auto-Encoder(DAGAE)with transformer is proposed to generate new fake brain functional networks to augment the brain functional network dataset,improving the dementia diagnosis accuracy of data-driven models.Specifically,the label distribution is estimated to regularize the latent space learned by the graph encoder,which canmake the learning process stable and the learned representation robust.Also,the transformer generator is devised to map the node representations into node-to-node connections by exploring the long-term dependence of highly-correlated distant brain regions.The typical topological properties and discriminative features can be preserved entirely.Furthermore,the generated brain functional networks improve the prediction performance using different classifiers,which can be applied to analyze other cognitive diseases.Attempts on the Alzheimer’s Disease Neuroimaging Initiative(ADNI)dataset demonstrate that the proposed model can generate good brain functional networks.The classification results show adding generated data can achieve the best accuracy value of 85.33%,sensitivity value of 84.00%,specificity value of 86.67%.The proposed model also achieves superior performance compared with other related augmentedmodels.Overall,the proposedmodel effectively improves cognitive disease diagnosis by generating diverse brain functional networks. | Qiankun Zuo Junhua Hu Yudong Zhang Junren Pan Changhong Jing Xuhang Chen Xiaobo Meng Jin Hong | 2023 | Computer Modeling in Engineering & Sciences2023，137，12： | 0 |
| 6 | Study design of deep learning based automatic detection of cerebrovascular diseases on medical imaging: a position paper from Chinese Association of Radiologists显示文摘In recent years,with the development of artificial intelligence,especially deep learning technology,researches on automatic detection of cerebrovascular diseases on medical images have made tremendous progress and these models are gradually entering into clinical practice.However,because of the complexity and flexibility of the deep learning algorithms,these researches have great variability on model building,validation process,performance description and results interpretation.The lack of a reliable,consistent,standardized design protocol has,to a certain extent,affected the progress of clinical translation and technology development of computer aided detection systems.After reviewing a large number of literatures and extensive discussion with domestic experts,this position paper put forward recommendations of standardized design on the key steps of deep learning-based automatic image detection models for cerebrovascular diseases.With further research and application expansion,this position paper would continue to be updated and gradually extended to evaluate the generalizability and clinical application efficacy of such tools. | Longjiang Zhang Zhao Shi Min Chen Yingmin Chen Jingliang Cheng Li Fan Nan Hong Wenxiao Jia Guihua Jiang Shenghong Ju Xiaogang Li Xiuli Li Changhong Liang Weihua Liao Shiyuan Liu Zaiming Lu Lin Ma Ke Ren Pengfei Rong Bin Song Gang Sun Rongpin Wang Zhibo Wen Haibo Xu Kai Xu Fuhua Yan Yizhou Yu Yunfei Zha Fandong Zhang Minwen Zheng Zhen Zhou Wenzhen Zhu Guangming Lu Zhengyu Jin on behalf of Chinese Association of Radiologists | 2022 | Intelligent Medicine2022，2，4： | 0 |
| 7 | The effects of hypoxia on major blood components:a brief review显示文摘The prevalence of stroke displays obvious geographical variation and is higher on plateaus.Similarly,prolonged stay at high altitude is associated with higher incidence of stroke.High-altitude hypoxia can elicit various physiological dysfunctions,and hypoxia is suggested to be the principal contributing factor of stroke.In this brief review,the effects of hypoxia on the properties of the blood components such as erythrocytes,leukocytes and thrombocytes are presented,in an effort to inform the prevention and treatment of stroke in high-altitude areas. | Ming Li Yang Li Changhong Ren Hong An Fang Jiang Feng Yan Sijie Li Di Wu Changqing Xia Xunming Ji | 2017 | Journal of Translational Neuroscience2017，2，2： | 0 |
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