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| 1 | Early detection of pine wilt disease in Pinus tabuliformis in North China using a field portable spectrometer and UAV-based hyperspectral imagery显示文摘Background:Pine wilt disease(PWD)is a major ecological concern in China that has caused severe damage to millions of Chinese pines(Pinus tabulaeformis).To control the spread of PWD,it is necessary to develop an effective approach to detect its presence in the early stage of infection.One potential solution is the use of Unmanned Airborne Vehicle(UAV)based hyperspectral images(HIs).UAV-based HIs have high spatial and spectral resolution and can gather data rapidly,potentially enabling the effective monitoring of large forests.Despite this,few studies examine the feasibility of HI data use in assessing the stage and severity of PWD infection in Chinese pine.Method:To fill this gap,we used a Random Forest(RF)algorithm to estimate the stage of PWD infection of trees sampled using UAV-based HI data and ground-based data(data directly collected from trees in the field).We compared relative accuracy of each of these data collection methods.We built our RF model using vegetation indices(VIs),red edge parameters(REPs),moisture indices(MIs),and their combination.Results:We report several key results.For ground data,the model that combined all parameters(OA:80.17%,Kappa:0.73)performed better than VIs(OA:75.21%,Kappa:0.66),REPs(OA:79.34%,Kappa:0.67),and MIs(OA:74.38%,Kappa:0.65)in predicting the PWD stage of individual pine tree infection.REPs had the highest accuracy(OA:80.33%,Kappa:0.58)in distinguishing trees at the early stage of PWD from healthy trees.UAV-based HI data yielded similar results:the model combined VIs,REPs and MIs(OA:74.38%,Kappa:0.66)exhibited the highest accuracy in estimating the PWD stage of sampled trees,and REPs performed best in distinguishing healthy trees from trees at early stage of PWD(OA:71.67%,Kappa:0.40).Conclusion:Overall,our results confirm the validity of using HI data to identify pine trees infected with PWD in its early stage,although its accuracy must be improved before widespread use is practical.We also show UAV-based data PWD classifications are less accurate but comparable to those of ground-based data.We believe that these results can be used to improve preventative measures in the control of PWD. | Run Yu Lili Ren Youqing Luo | 2021 | Forest Ecosystems2021，8，3： | 8 |
| 2 | The genetics of tiger pelage color variations显示文摘 | Xiao XU Gui-Xin Dong Anne Schmidt-Kuntzel Xue-Li Zhang Yan Zhuang Run Fang Xin Sun Xue-Song Hu Tian-You Zhang Han-Dong Yang De-Lu Zhang Laurie Marker Zheng-Fan Jiang Ruiqiang Li Shu-Jin Luo | 2017 | Cell Research2017，27，7： | 5 |
| 3 | Dominant Synoptic Patterns and Their Relationships with PM2.5 Pollution in Winter over the Beijing–Tianjin–Hebei and Yangtze River Delta Regions in China显示文摘This paper concerns about the episodes of PM2.5 pollution that frequently occur in China in winter months.The severity of PM2.5 pollution is strongly dependent on the synoptic-scale atmospheric conditions.We combined PM2.5 concentration data and meteorological data with the Hybrid Single Particle Lagrangian Integrated Trajectory model(HYSPLIT4)to investigate the dominant synoptic patterns and their relationships with PM2.5 pollution over the Beijing–Tianjin–Hebei(BTH)and Yangtze River Delta(YRD)regions in the winters of 2014–17.The transport of PM2.5 from the BTH to YRD regions was examined by using cluster analysis and HYSPLIT4.It is found that the level of PM2.5 pollution over the BTH region was higher than that over the YRD region.The concentration of PM2.5 in the atmosphere was more closely related to meteorological factors over the BTH region.The episodes of PM2.5 pollution over the BTH region in winter were related to weather patterns such as the rear of a high-pressure system approaching the sea,a high-pressure field,a saddle pressure field,and the leading edge of a cold front.By contrast,PM2.5 pollution episodes in the YRD region in winter were mainly associated with the external transport of cold air,a high-pressure field,and a uniform pressure field.Cluster analysis shows that the trajectories of PM2.5 were significantly different under different weather patterns.PM2.5 would be transported from the BTH to the YRD within 48 h when the PM2.5 pollution episodes were associated with three different kinds of weather patterns:the rear of a highpressure system approaching the sea,the high-pressure field,and the leading edge of a cold front over the BTH region.This suggests a possible method to predict PM2.5 pollution episodes based on synoptic-scale patterns. | Yuzhi LIU Bing WANG Qingzhe ZHU Run LUO Chuqiao WU Rui JIA | 2019 | Journal of Meteorological Research2019，33，4： | 5 |
| 4 | Relationship Between Coleoptile Length and Drought Resistance and Their QTL Mapping in Rice显示文摘By using a set of recombinant inbred line(RIL)population involving in 195 lines derived from a cross of Zhenshan 97B (lowland variety)and IRAT109(upland variety),the correlation analysis between coleoptile length(CL)and drought resistance index (DRI)and their QTL identification were conducted.There existed a significantly positive relationship between CL and DRI with the correlation coefficient of 0.2206**under water stress conditions.Under normal and water stress conditions,a total of eleven and four QTLs for CL and DRI,respectively,were detected on chromosomes 1,2,4,5,6,7,9,11 and 12 by using a linkage map including 213 SSR markers,which explained 4.84%to 22.65%of phenotypic variance.Chromosomes 1 and 9 possessing the QTLs for DRI harbored simultaneously QTLs for CL,and qCL9 shared the same chromosome location with qDRI9(RM160-RM215).Comparing the QTLs related to drought resistance in other studies,QTLs for CL and DRI were located in the same or adjacent marker interval as those related to root traits,such as number,dry weight,depth,and length of root.Moreover,sixteen and three pairs of epistatic loci for CL and DRI were found,which accounted for 56.17%and 11.93%of the total variation in CL and DRI,respectively. | HU Song-ping YANG Hua ZOU Gui-hua LIU Hong-yan LIU Guo-lan MEI Han-wei CAI Run LI Ming-shou LUO Li-jun | 2007 | Rice science2007，14，1： | 4 |
| 5 | Microneedle-array patch with pH-sensitive formulation for glucoseresponsive insulin delivery显示文摘Glucose-responsive insulin delivery systems show great promise to improve therapeutic outcomes and quality of life for people with diabetes.Herein,a new microneedle-array patch containing pH-sensitive insulin-loaded nanoparticles(NPs)(SNP(I))together with glucose oxidase(GOx)-and catalase(CAT)-loaded pH-insensitive NPs(iSNP(G+C))is constructed for transcutaneous glucose-responsive insulin delivery.SNP(I)are prepared via double emulsion from a pH-sensitive amphiphilic block copolymer,and undergo rapid dissociation to promote insulin release at a mild acidic environment induced by GOx in iSNP(G+C)under hyperglycemic conditions.CAT in iSNP(G+C)can further consume excess H_(2)O_(2) generated during GOx oxidation,and thus reduce the risk of inflammation toward the normal skin.The in vivo study on type 1 diabetic mice demonstrates that the platform can effectively regulate blood glucose levels within normal ranges for a prolonged period. | Feng-Qin Luo Guojun Chen Wei Xu Daojia Zhou Jia-Xian Li Yong-Cong Huang Run Lin Zhen Gu Jin-Zhi Du | 2021 | Nano Research2021，14，8： | 4 |
| 6 | A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning显示文摘Antibiotics are widely used in medicine and animal husbandry.However,due to the resistance of antibiotics to degradation,large amounts of antibiotics enter the environment,posing a potential risk to the ecosystem and public health.Therefore,the detection of antibiotics in the environment is necessary.Nevertheless,conventional detection methods usually involve complex pretreatment techniques and expensive instrumentation,which impose considerable time and economic costs.In this paper,we proposed a method for the fast detection of mixed antibiotics based on simplified pretreatment using spectral machine learning.With the help of a modified spectrometer,a large number of characteristic images were generated to map antibiotic information.The relationship between characteristic images and antibiotic concentrations was established by machine learning model.The coefficient of determination and root mean squared error were used to evaluate the prediction performance of the machine learning model.The results show that a well-trained machine learning model can accurately predict multiple antibiotic concentrations simultaneously with almost no pretreatment.The results from this study have some referential value for promoting the development of environmental detection technologies and digital environmental management strategies. | Yicai Huang Jiayuan Chen Qiannan Duan Yunjin Feng Run Luo Wenjing Wang Fenli Liu Sifan Bi Jianchao Lee | 2022 | Frontiers of Environmental Science & Engineering2022，16，3： | 2 |
| 7 | Fabrication of high-capacity cation-exchangers for protein adsorption: Comparison of grafting-from and grafting-to approaches显示文摘In this work, we have synthesized two polymer-grafted cation exchangers: one via the grafting-from approach, in which sulfopropyl methacrylate (SPM) is grafted through atom transfer radical polymerization onto Sepharose FF (the thus resulting exchanger is referred as Sep-g-SPM), and another via the grafting-to approach, in which the polymer of SPM is directly coupled onto Sepharose FF (the thus resulting exchanger is called as Sep-pSPM). Protein adsorption on these two cation exchangers have been also investigated. At the same ligand density, Sep-g-SPM has a larger accessible pore radius and a smaller depth of polymer layer than Sep-pSPM, due to the controllable introduction of polymer chains with the regular distribution of the ligand. Therefore, high-capacity adsorption of lysozyme and γ-globulin could be achieved simultaneously in Sep-g-SPM with an ionic capacity (IC) of 308 mmol·L^-1. However, Sep-pSPM has an irregular chain distribution and different architecture of polymer layer, which lead to more serious repulsive interaction to proteins, and thus Sep-pSPM has a lower adsorption capacity for γ-globulin than Sep-g-SPM with the similar IC. Moreover, the results from protein uptake experiments indicate that the facilitated transport of adsorbed γ-globulin occurs only in Sep-pSPM and depends on the architecture of polymer layers. Our research provides a clear clue for the development of high-performance protein chromatography. | Ming Zhao Run Liu Jian Luo Yan Sun Qinghong Shi | 2019 | Frontiers of Chemical Science and Engineering2019，13，1： | 1 |
| 8 | Near-/mid-field effect of color mixing for single phosphor-converted light-emitting diode package 显示文摘 | HU Run YU Shan ZOU Yong ZHENG Hai WANG Fei LIU Sheng LUO Xiao-bing | 2013 | IEEE Photonics Technology Letters2013，25，3： | 1 |
| 9 | Design of a novel freeform lens for LED uniform illuminatioo and confor- real phosphor coating显示文摘 | HU Run LUO Xiao-bing ZHENG Huai | 2012 | Optical Soeiety of America2012，620，13： | 1 |
| 10 | 显示文摘 | Chang Guan-jun Luo Xuan Zhang Lin Lin Run xiong | 2007 | Macromolecules2007，40，24： | 1 |
| 11 | Hotspot Loca-tion Shift in the High-Power Phosphor-Converted WhiteLight-Emitting Diode Packages 显示文摘 | HU Run LUO Xiaobing ZHENG Huai | 2012 | Japanese Journal ofApplied Physics2012，51，92： | 1 |
| 12 | Excited-state mixed-valence distortions in a diisopropyl diphenyl hydrazine cation 显示文摘 | LOCKARD J V ZINK J I LUO Run | 2006 | J Am Chem Soc2006，128，： | 1 |
| 13 | Impulsive control and synchronization of a new cha- otic system显示文摘 | Luo Run Zi | 2008 | Physics Lettem A2008，372，5： | 1 |
| 14 | Design of double freeform-surface lens for LED uniformillu-mination with minimum Fresnel losses显示文摘 | HU Run GAN Zhi-qiang LUO Xiao-bing | 2013 | Optic-International Journal for Light and Electron Optics2013，124，19： | 1 |
| 15 | General deep learning framework for emissivity engineering显示文摘Wavelength-selective thermal emitters(WS-TEs)have been frequently designed to achieve desired target emissivity spectra,as a typical emissivity engineering,for broad applications such as thermal camouflage,radiative cooling,and gas sensing,etc.However,previous designs require prior knowledge of materials or structures for different applications and the designed WS-TEs usually vary from applications to applications in terms of materials and structures,thus lacking of a general design framework for emissivity engineering across different applications.Moreover,previous designs fail to tackle the simultaneous design of both materials and structures,as they either fix materials to design structures or fix structures to select suitable materials.Herein,we employ the deep Q-learning network algorithm,a reinforcement learning method based on deep learning framework,to design multilayer WS-TEs.To demonstrate the general validity,three WS-TEs are designed for various applications,including thermal camouflage,radiative cooling and gas sensing,which are then fabricated and measured.The merits of the deep Q-learning algorithm include that it can(1)offer a general design framework for WS-TEs beyond one-dimensional multilayer structures;(2)autonomously select suitable materials from a self-built material library and(3)autonomously optimize structural parameters for the target emissivity spectra.The present framework is demonstrated to be feasible and efficient in designing WS-TEs across different applications,and the design parameters are highly scalable in materials,structures,dimensions,and the target functions,offering a general framework for emissivity engineering and paving the way for efficient design of nonlinear optimization problems beyond thermal metamaterials. | Shilv Yu Peng Zhou Wang Xi Zihe Chen Yuheng Deng Xiaobing Luo Wangnan Li Junichiro Shiomi Run Hu | 2023 | Light(Science & Applications)2023，12，12： | 0 |
| 16 | Big-data-accelerated aperiodic Si/Ge superlattice prediction for quenching thermal conduction via pattern analysis显示文摘Thermal conductivity of material is one of the basic physical properties and plays an important role in manipu-lating thermal energy.In order to accelerate the prediction of material structure with desired thermal property,machine learning algorithm has been widely adopted.However,in the optimization of multivariable material structure such as different lengths or proportions,the machine learning algorithm may be required to be recon-ducted again and again for each variable,which will consume a lot of computing resources.Recently,it has been found that the thermal conductivity of aperiodic superlattices is closely related to the degree of the structural ran-domness,which can also be reflected in their local pattern structures.Inspired by these,we propose a new pattern analysis method,in which machine learning only needs to be carried out for one time,and through which the optimal structure of different variables with low thermal conductivity can be obtained.To verify the method,we compare the thermal conductivities of the structure obtained by pattern analysis,conventional machine learning,and previous literature,respectively.The pattern analysis method is validated to greatly reduce the prediction time of multivariable structure with high enough accuracy and may promote further development of material informatics. | Yida Liu Run Hu Yan Wang Jinglong Ma Zhangcan Yang Xiaobing Luo | 2021 | Energy and AI2021，3，1： | 0 |
| 17 | Optical constants study of YAG:Ce phosphor layer blended with SiO2 particles by Mie theory for white light-emitting diode package显示文摘光常数包括散布系数,吸收系数,不对称现象参数和减少的散布系数,做铈的钇铝石榴石(钇铝柘榴石: Ce ) 为白轻射出的二极管与 SiO2 粒子混合的黄磷(带) 包裹在这研究基于 Mie 理论被计算。计算过程详细被介绍。有黄磷重量部分,掺杂物重量部分,黄磷粒子半径和 SiO2 粒子半径的变化的光常数的变化,独立被显示出并且分析。不对称现象参数是黄磷重量部分的粒子,和增加的内在的特征,这被发现(或集中) 将导致光常数的增加。掺杂物重量部分的增加将提高散布系数,这也被发现,但是导致减少的散布系数和吸收系数的减少。 | Run HU Xiaobing LUO Huai ZHENG Sheng LIU | 2012 | Frontiers of Optoelectronics2012，5，2： | 0 |
| 18 | Two-dimensional phonon engineering triggers microscale thermal functionalities显示文摘Thermal metamaterials enable heat-flow manipulation alongside many emerging thermal functionalities.However,macroscale experimental performances are usually less satisfactory due to the errors of effective medium design,imprecision fabrication and the nonnegligible thermal-contact resistance.In the Nano Letters paper[1],Wu and coworkers propose the ion-write micro-thermotics(IWMT)platform,on which they overcome the issues in the macroscale and experimentally demonstrate the microscale thermal cloak and rectifier functionalities.The fundamental progress is the successful experimental demonstration of twodimensional(2D)phonon engineerings which can be applied to explore more microscale thermal functionalities and reveal more physics with newly-added spatial phonon-distribution information.To highlight the progress. | Run Hu Xiaobing Luo | 2019 | National Science Review2019，6，6： | 0 |
| 19 | A spin-less particle on a rotating curved surface in Minkowski space显示文摘In Minkowski space M,we derive the effective Schrodinger equation describing a spin-less particle confined to a rotating curved surface S.Using the thin-layer quantization formalism to constrain the particle on we obtain the relativity-corrected geometric potential V_(g)’,and a novel effective potential V(g) related to both the Gaussian curvature and the geodesic curvature of the rotating surface.The Coriolis effect and the centrifugal potential also appear in the equation.Subsequently,we apply the surface Schrodinger equation to a rotating cylinder,sphere and toms surfaces,in which we find that the interplays between the rotation and surface geometry can contribute to the energy spectrum based on the potentials they offer. | Run Cheng Li Wang Hao Zhao Cui-Bai Luo Yong-Long Wang Jun Wang | 2021 | Communications in Theoretical Physics2021，73，12： | 0 |
| 20 | Spreading and Curing Behaviors of a Thermosetting Droplet-Silicone on a Heated Surface显示文摘Thermosetting materials are widely used as encapsulation in the electrical packaging to protect the core electronic components from external force, moisture, dust, and other factors. However, the spreading and curing behaviors of such kind of fluid on a heated surface have been rarely explored. In this study, we experimentally and numerically investigated the spreading and curing behaviors of the silicone(OE6550 A/B, which is widely used in the light-emitting diode packaging) droplet with diameter of ~2.2 mm on a heated surface with temperature ranging from 25 ℃ to 250 ℃. For the experiments, we established a setup with high-speed camera and heating unit to capture the fast spreading process of the silicone droplet on the heated surface. For the numerical simulation, we built a viscosity model of the silicone by using the Kiuna’s model and combined the viscosity model with the Volume of Fluid(VOF) model by the User Defined Function(UDF) method. The results show that the surface temperature significantly affected the spreading behaviors of the silicone droplet since it determines the temperature and viscosity distribution inside the droplet. For surface temperature varied from 25 ℃ to 250 ℃, the final contact radius changed from ~2.95 mm to ~1.78 mm and the total spreading time changed from ~511 s to ~0.15 s. By further analyzing the viscosity evolution of the droplet, we found that the decreasing of the total spreading time was caused by the decrease of the viscosity under high surface temperature at initial spreading stage, while the reduction of the final contact radius was caused by the curing of the precursor film. This study supplies a strategy to tuning the spreading and curing behavior of silicone by imposing high surface temperature, which is of great importance to the electronic packaging. | Xingjian Yu Run Hu Liliang Zhou Han Wu Xiaobing Luo | 2019 | Journal of Harbin Institute of Technology(New Series)2019，26，4： | 0 |
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