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| 1 | Consensus on the application of negative pressure wound therapy of diabetic foot wounds显示文摘Because China is becoming an aging society,the incidence of diabetes and diabetic foot have been increasing.Diabetic foot has become one of the main health-related killers due to its high disability and mortality rates.Negative pressure wound therapy(NPWT)is one of the most effective techniques for the treatment of diabetic foot wounds and great progress,both in terms of research and its clinical application,has been made in the last 20 years of its development.However,due to the complex pathogenesis and management of diabetic foot,irregular application of NPWT often leads to complications,such as infection,bleeding and necrosis,that seriously affect its treatment outcomes.In 2020,under the leadership of Burns,Trauma and Tissue Repair Committee of the Cross-Straits Medicine Exchange Association,the writing group for‘Consensus on the application of negative pressure wound therapy of diabetic foot wounds’was established with the participation of scholars from the specialized areas of burns,endocrinology,vascular surgery,orthopedics and wound repair.Drawing on evidence-based practice suggested by the latest clinical research,this consensus proposes the best clinical practice guidelines for the application and prognostic evaluation of NPWT for diabetic foot.The consensus aims to support the formation of standardized treatment schemes that clinicians can refer to when treating cases of diabetic foot. | Shizhao Ji Xiaobin Liu Jie Huang Junmin Bao Zhaohong Chen Chunmao Han Daifeng Hao Jingsong Hong Dahai Hu Yufeng Jiang Shang Ju Hongye Li Zongyu Li Guangping Liang Yan Liu Gaoxing Luo Guozhong Lv Xingwu Ran Zhongmin Shi Juyu Tang Aiping Wang Guangyi Wang Jiangning Wang Xin Wang Bing Wen Jun Wu Hailin Xu Maojin Xu Xiaofei Ye Liangxi Yuan Yi Zhang Shichu Xiao Zhaofan Xia | 2021 | Burns & Trauma2021，9，1： | 17 |
| 2 | Variable structure control with sliding mode prediction for discrete-time nonlinear systems显示文摘新可变结构基于滑动模式预言控制算法因为分离时间的非线性的系统的一个类被介绍。由雇用一个特殊模特儿预言滑动模式价值的未来,;联合反馈修正;是的后退的地平线优化方法广泛地在预兆的控制策略上适用,一条分离时间的可变结构控制法律被构造。靠近环的系统被证明与未特别指出的边界有坚韧性到不确定性。数字模拟;摆钟实验结果说明靠近环的系统拥有需要的性能例如强壮的坚韧性,快集中;啁啾的消除。 | Lingfei XIAO Hongye SU Xiaoyu ZHANG Jian CHU | 2006 | 控制理论与应用(英文版)2006，4，2： | 4 |
| 3 | Estimating leaf mercury content in Phragmites australis based on leaf hyperspectral reflectance显示文摘Introduction:Highmercury(Hg)concentrations affect the chlorophyll in leaves,therebymodifying leaf spectra.Hyperspectra is a promising technique for the rapid,nondestructive evaluation of leaf Hg content.In this study,we investigated Hg contents and reflective hyperspectra of reed leaves(Phragmites communis)in a gold mining(Jilin province,China).Spectral parameters sensitive to Hg content were identified through basic spectral transformations,continuous wavelet transformation(CWT),and spectral indices techniques.Leaf Hg inversion models were developed using stepwise multiple linear regression,partial least squares regression,and random forest algorithms.Outcomes:The results indicated that:1)leaf Hg content decreased with increasing distance from the mine:Jiapigou(JPG)>Erdaocha(EDC)>Laojingchang(LJC)>Erdaogou(EDG)>Lingqian(LQ)>Weishahe(WSH).2)Hg–sensitive wavelengths were primarily in the visible region;CWT increased the correlation between hyperspectral data and leaf Hg content,and improved the regression and accuracy of inversion;3)the continuumremoval–CWT–stepwise multiple linear regression was better for estimating low leaf Hg content;while the differential spectral index–partial least squares regression was better for estimating high leaf Hg content.Conclusion:These hyperspectral inversion methods could be used for rapid,nondestructive monitoring of wetland plants. | Weiwei Liu Mengjie Li Manyin Zhang DaanWang Ziliang Guo Songyuan Long Si Yang Henian Wang Wei Li Yukun Hu Yuanyun Wei Hongye Xiao | 2020 | Ecosystem Health and Sustainability2020，6，1： | 2 |
| 4 | Distributed event-triggered adaptive control for second-order nonlinear uncertain multi-agent systems显示文摘In this paper,the event-triggered consensus control problem for nonlinear uncertain multi-agent systems subject to unknown parameters and external disturbances is considered.The dynamics of subsystems are second-order with similar structures,and the nodes are connected by undirected graphs.The event-triggered mechanisms are not only utilized in the transmission of information from the controllers to the actuators,and from the sensors to the controllers within each agent,but also in the communication between agents.Based on the adaptive backstepping method,extra estimators are introduced to handle the unknown parameters,and the measurement errors that occur during the event-triggered communication are well handled by designing compensating terms for the control signals.The presented distributed event-triggered adaptive control laws can guarantee the boundness of the consensus tracking errors and the Zeno behavior is avoided.Meanwhile,the update frequency of the controllers and the load of communication burden are vastly reduced.The obtained control protocol is further applied to a multi-input multi-output second-order nonlinear multi-agent system,and the simulation results show the effectiveness and advantages of our proposed method. | Ming XIAO Zhitao LIU Hongye SU | 2021 | Chinese Journal of Aeronautics2021，34，10： | 2 |
| 5 | Sliding mode prediction tracking control design for uncertain systems 显示文摘 | Xiao Lingfei Su Hongye Chu Jian | 2007 | Asian Journal of Control2007，9，3： | 1 |
| 6 | Dynamic landscape mapping of humoral immunity to SARS-CoY-2 identifies non-structural protein antibodies associated with the survival of critical COVID-19 patients显示文摘A comprehensive analysis of the humoral immune response to the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)is essential in understanding COVID-19 pathogenesis and developing antibody-based diagnostics and therapy.In this work,we performed a longitudinal analysis of antibody responses to SARS-CoV-2 proteins in 104 serum samples from 49 critical COVID-19 patients using a peptide-based SARS-CoV-2 proteome microarray.Our data show that the binding epitopes of IgM and IgG antibodies differ across SARS-CoV-2 proteins and even within the same protein. | Linlin Cheng Xiaomei Zhang Yu Chen Dan Wang Dong Zhang Songxin Yan Hongye Wang Meng Xiao Te Liang Haolong Li Meng Xu Xin Hou jiayu Dai Xian Wu Mingyuan Li Minya Lu Dong Wu Ran Tian Jing Zhao Yan Zhang Wei Cao Jinglan Wang Xiaowei Yan Xiang Zhou Zhengyin Liu Yingchun Xu Fuchu He Yongzhe Li Xiaobo Yu Shuyang Zhang | 2021 | Signal Transduction and Targeted Therapy2021，6，9： | 1 |
| 7 | Sliding mode prediction tracking control design for uncertain systems显示文摘 | XIAO Lingfei SU Hongye CHU Jian | | 0，，3： | 1 |
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