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| 1 | A general strategy for one-step fabrication of biocompatible microcapsules with controlled active release显示文摘Fabrication of biocompatible core-shell microcapsules in a controllable and scalable manner remains an important but challenging task.Here,we develop a one-step microfluidic approach for the highthroughput production of biocompatible microcapsules,which utilizes single emulsions as templates and controls the precipitation of biocompatible polymer at the water/oil interface.The facile method enables the loading of various oils in the core and the enhancement of polymer shell strength by polyelectrolyte coating.The resulting microcapsules have the advantages of controllability,scalability,biocompatibility,high encapsulation efficiency and high loading capacity.The core-shell microcapsules are ideal delivery vehicles for programmable active release and various controlled release mechanisms are demonstrated,including burst release by vigorous shaking,pH-triggered release for targeted intestinal release and sustained release of perfume over a long period of time.The utility of our technique paves the way for practical applications of core-shell microcapsules. | Zeyong Sun Chenjing Yang Max Eggersdorfer Jiecheng Cuic Yiwei Li Mingtan Hai Dong Chen David AWeitz | 2020 | Chinese Chemical Letters2020，31，1： | 5 |
| 2 | Genetic relationships within Brassica rapa as inferred from AFLP fingerprints显示文摘 | Jianjun Zhao Xiaowu Wang Bo Deng Ping Lou Jian Wu Rifei Sun Zeyong Xu Jaap Vromans Maarten Koornneef Guusje Bonnema | 2005 | Theoretical and Applied Genetics2005，，7： | 1 |
| 3 | Genetic relationships within Brassica rapa as inferred from AFLP fingerprints显示文摘 | Jianjun Zhao Xiaowu Wang Bo Deng Ping Lou Jian Wu Rifei Sun Zeyong Xu Jaap Vromans Maarten Koornneef Guusje Bonnema | 2005 | Theoretical and Applied Genetics2005，，7： | 1 |
| 4 | Air Temperature Estimation with MODIS Data over the Northern Tibetan Plateau显示文摘Time series of MODIS land surface temperature(T_s) and normalized difference vegetation index(NDVI) products,combined with digital elevation model(DEM) and meteorological data from 2001 to 2012,were used to map the spatial distribution of monthly mean air temperature over the Northern Tibetan Plateau(NTP). A time series analysis and a regression analysis of monthly mean land surface temperature(T_s) and air temperature(T_a) were conducted using ordinary linear regression(OLR) and geographical weighted regression(GWR). The analyses showed that GWR,which considers MODIS T_s,NDVI and elevation as independent variables,yielded much better results [R_(Adj)~2> 0.79; root-mean-square error(RMSE) =0.51℃–1.12℃] associated with estimating T_a compared to those from OLR(R_(Adj)~2= 0.40-0.78; RMSE = 1.60℃–4.38℃).In addition,some characteristics of the spatial distribution of monthly T_a and the difference between the surface and air temperature(T_d) are as follows. According to the analysis of the 0℃ and 10℃ isothermals,T_a values over the NTP at elevations of 4000–5000 m were greater than 10℃ in the summer(from May to October),and T_a values at an elevation of3200 m dropped below 0℃ in the winter(from November to April). T_a exhibited an increasing trend from northwest to southeast. Except in the southeastern area of the NTP,T d values in other areas were all larger than 0℃ in the winter. | Fangfang HUANG Weiqiang MA Binbin WANG Zeyong HU Yaoming MA Genhou SUN Zhipeng XIE Yun LIN | 2017 | Advances in Atmospheric Sciences2017，34，5： | 1 |
| 5 | Genetic relationships within Brassica rapa as inferred from AFLP fingerprints显示文摘 | Jianjun Zhao Xiaowu Wang Bo Deng Ping Lou Jian Wu Rifei Sun Zeyong Xu Jaap Vromans Maarten Koornneef Guusje Bonnema | 2005 | Theoretical and Applied Genetics2005，，7： | 1 |
| 6 | Study on potential evapotranspiration and wet-dry condition in the seasonal frozen soil region of northern Tibetan Plateau显示文摘This study was based on the CEOP/CAMP-Tibet observed data at AWS (Automatic Weather Station) of MS3478 in the seasonal frozen soil region of northern Tibetan Plateau from March 2007 to February 2008.The variation characteristics of PE (potential evapotranspiration) were analyzed based on the Penman-Monteith method recommended by FAO (the Food and Agriculture Organization of the United Nations).The contributions of dynamic,thermal and water factors to PE were discussed,and the wet-dry condition of the plateau region was further studied.The results indicated that daily PE was between 0.52 mm and 6.46 mm for the whole year.Monthly PE was over 107 mm from May to September,but decreased to less than 41 mm from November to February.Annual PE was 1,037.8 mm.In the summer,thermal PE was significantly more than dynamic PE,but conversely in the winter.Annual variation of thermal PE was of sine wave pattern.In addition,drought and semi-drought climate lasted for a long time while semi-humid climate was short.The effect of water and dynamic factors on PE varied considerably with the seasons.Annual variation of thermal PE was of sine wave pattern. | HuiGen He ZeYong Hu XueYi Xun Jun Sun Li Hao LiJiao Xu Wen Peng | 2011 | Research in Cold and Arid Regions2011，3，2： | 1 |
| 7 | Intrusion Detection Method Based on Active Incremental Learning in Industrial Internet of Things Environment显示文摘Intrusion detection is a hot field in the direction of network security.Classical intrusion detection systems are usually based on supervised machine learning models.These offline-trained models usually have better performance in the initial stages of system construction.However,due to the diversity and rapid development of intrusion techniques,the trained models are often difficult to detect new attacks.In addition,very little noisy data in the training process often has a considerable impact on the performance of the intrusion detection system.This paper proposes an intrusion detection system based on active incremental learning with the adaptive capability to solve these problems.IDS consists of two modules,namely the improved incremental stacking ensemble learning detection method called Multi-Stacking model and the active learning query module.The stacking model can cope well with concept drift due to the diversity and generalization selection of its base classifiers,but the accuracy does not meet the requirements.The Multi-Stacking model improves the accuracy of the model by adding a voting layer on the basis of the original stacking.The active learning query module improves the detection of known attacks through the committee algorithm,and the improved KNN algorithm can better help detect unknown attacks.We have tested the latest industrial IoT dataset with satisfactory results. | Zeyong Sun Guo Ran Zilong Jin | 2022 | Journal on Internet of Things2022，4，2： | 0 |
| 8 | Local meteorology in a northern Himalayan valley near Mount Everest and its response to seasonal transitions显示文摘An automatic weather station(AWS) has been installed at the Qomolangma Station of the China Academy of Sciences(QOMS) since 2005, in a northern Himalayan valley near Mount Everest, with an altitude of 4,270 m a.s.l.. Nine years of meteorological records(2006–2014) from the automatic weather station(AWS) were analyzed in this study, aiming to understand the response of local weather to the seasonal transition on the northern slopes of Mount Everest, with consideration of the movement of the subtropical jet(STJ) and the onset of the Indian Summer Monsoon(ISM). We found:(1) Both the synoptic circulation and the orography have a profound influence on the local weather, especially the local circulation.(2) Southwesterly(SW) and southeasterly(SE) winds prevail alternately at QOMS in the afternoon through the year. The SW wind was driven by the STJ during the non-monsoon months, while the SE was induced by the trans-Himalayan flow through the Arun Valley, a major valley to the east of Mount Everest, under a background of weak westerly winds aloft.(3) The response of air temperature(T) and specific humidity(q) to the monsoon onset is not as marked as that of the nearsurface winds. The q increases gradually and reaches a maximum in July when the rainy period begins.(4) The alternation between the SW wind at QOMS and the afternoon SE wind in the pre-monsoon season signals the northward shift of the STJ and imminent monsoon onset. The average interval between these two events is 14 days. | FangLin Sun YaoMing Ma ZeYong Hu | 2018 | Research in Cold and Arid Regions2018，10，6： | 0 |
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