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34篇 您的检索式:作者名="Hu Yueming"
    题名 作者 年代 出处 被引量
1Oxymatrine reduces neuroinflammation in rat brain A signaling pathway显示文摘Cerebral neuroinflammation models were established by injecting 10 μg lipopolysaccharide into the hippocampus of male Sprague-Dawley rats. The rats were treated with an intraperitoneal injection of 120, 90, or 60 mg/kg oxymatrine daily for three days prior to the lipopolysaccharide injection. Twenty-four hours after model induction, the hippocampus was analyzed by real-time quantitative PCR, and the cerebral cortex was analyzed by enzyme-linked immunosorbent assay and western blot assay. The results of the enzyme-linked immunosorbent assay and the real-time quantitative PCR showed that the secretion and mRNA expression of the pro-inflammatory cytokines interleukin-1β and tumor necrosis factor-α were significantly decreased in the hippocampus and cerebral cortex of model rats treated with oxymatrine. Western blot assay and real-time quantitative PCR analysis indicated that toll-like receptor 4 mRNA and protein expression were significantly decreased in the groups receiving different doses of oxymatrine. Additionally, 120 and 90 mg/kg oxymatrine were shown to reduce protein levels of nuclear factor-κB p65 in the nucleus and of phosphorylated IκBα in the cytoplasm of brain cells, as detected by western blot assay. Experimental findings indicate that oxymatrine may inhibit neuroinflammation in rat brain via downregulating the expression of molecules in the toll-like receptor 4/nuclear factor-κB signaling pathway.Jiahui Mao Yae Hu Ailing Zhou Bing Zheng Yi Liu Yueming Du Jia Li Jinyang Lu Pengcheng Zhou 2012Neural Regeneration Research2012,7,30:7
2Active dry yeast supplementation improves the growth performance,rumen fermentation, and immune response of weaned beef calves显示文摘The objective of this experiment was to investigate the potential benefits of active dry yeast(ADY)on the growth performance,rumen fermentation,nutrient digestibility,and serum parameters of weaned beef calves.Thirty Simmental crossbred male calves(body weight=86.47±4.41 kg and 70±4 d of age)were randomly divided into 2 groups:control(CON)(fed basal ration)and ADY(fed basal ration and 5 g/d ADY per calf).The dietary concentrate-to-roughage ratio was 35:65.All the calves were regularly provided rations 3 times a day at 07:00,13:00,and 19:00 and had free access to wate r.The experiment lasted for 60 d.The average daily gain of ADY group was higher(P=0.007)than that of the CON group,and the ratio of feed intake to average daily gain in the ADY group was reduced(P=0.022)as compared to the CON group.The concentration of ruminal ammonia-N was higher(P=0.023)in the CON group than that in the ADY group,but an opposite trend of microbial protein was found between the 2 groups.Also,the ruminal concentrations of propionate and butyrate were higher(P<0.05)in the ADY group than those in the CON group.Calves fed ADY exhibited higher(P<0.05)crude protein and neutral detergent fiber digestibility.Supplementation of ADY increased(P<0.05)the contents of glucose,glutathione peroxidase,superoxide dismutase,immunoglobulin A,immunoglobulin M,and interleukin 10 in the serum of calves,but an opposite trend was observed in malondialdehyde,interleukin 1 beta,and tumor necrosis factor alpha contents between the 2 groups.In conclusion,dietary supplementation with ADY could improve the growth performance,rumen fermentation,nutrient digestibility,antioxidant ability,and immune response of weaned beef calves.Jian Ma Cheng Wang Zhisheng Wang Guang Cao Rui Hu Xueying Wang Huawei Zou Kun Kang Quanhui Peng Bai Xue Lizhi Wang Yueming Zhu Xiaopeng Zhu 2021Animal Nutrition2021,,4:7
3Crystal structures of D-psicose 3-epimerase from Clostridium cellulolyticum H10 and its complex with ketohexose sugars显示文摘D-Psicose 3-epimerase(DPEase)is demonstrated to be useful in the bioproduction of D-psicose,a rare hexose sugar,from D-fructose,found plenty in nature.Clostridium cellulolyticum H10 has recently been identified as a DPEase that can epimerize D-fructose to yield D-psicose with a much higher conversion rate when compared with the conventionally used DTEase.In this study,the crystal structure of the C.cellulolyticum DPEase was determined.The enzyme assembles into a tetramer and each subunit shows a(β/α)8 TIM barrel fold with a Mn2+metal ion in the active site.Additional crystal structures of the enzyme in complex with substrates/products(D-psicose,D-fructose,D-tagatose and D-sorbose)were also determined.From the complex structures of C.cellulolyticum DPEase with D-psicose and D-fructose,the enzyme has much more interactions with D-psicose than D-fructose by forming more hydrogen bonds between the substrate and the active site residues.Accordingly,based on these ketohexosebound complex structures,a C3-O3 proton-exchange mechanism for the conversion between D-psicose and D-fructose is proposed here.These results provide a clear idea for the deprotonation/protonation roles of E150 and E244 in catalysis.Hsiu-Chien Chan Yueming Zhu Yumei Hu Tzu-Ping Ko Chun-Hsiang Huang Feifei Ren Chun-Chi Chen Yanhe Ma Rey-Ting Guo Yuanxia Sun 2012Protein & Cell2012,3,2:6
4Throughput analysis of slotted ALOHA with cooperative transmission using successive interference cancellation显示文摘With a cross-layer design approach, a novel random access protocol is proposed in this paper, which is based on conventional slotted ALOHA (S-ALOHA) using successive interference cancellation (SIC) technique to separate collided packets and cooperative transmission to exploit the physical layer advantages. And a general theoretic analysis model is presented to obtain its throughput, which is also suitable for analyzing the performance of other protocols (such as S-ALOHA and S-ALOHA with cooperative transmission (C-ALOHA)) and is shown to be right and effective. Numerical results demonstrate that the proposed protocol can improve the maximal throughput by 190% and 132% over a Rayleigh fading channel, respectively, as compared with S-ALOHA and C-ALOHA. And the results show that our protocol can provide an effective random access method with high throughput for wireless transmission.HU YingBo YANG WeiWei CAI YueMing 2009Science in China(Series F)2009,52,12:6
5Detecting Droughts in Southwest China from GPS Vertical Position Displacements显示文摘The solid Earth responds elastically to terrestrial water storage(TWS)changes.Here global positioning system(GPS)vertical position data at 31 stations from the crustal movement observation network of China(CMONOC)from August 2010 to December 2016 are used to detect droughts in Southwest China.Monthly GPS vertical position displacements respond negatively to precipitation changes and TWS changes observed by gravity recovery and climate experiments(GRACE)as well as river water level variations.GPS vertical position anomalies(the non-seasonal term)are well correlated negatively(correlations of about-0.70)with the commonly used meteorological composite index(CI)in China and the GRACE drought severity index(GRACE-DSI),but less correlated with the standardized precipitation evapotranspiration index(SPEI).Compared to CI,GPS vertical position anomalies have the advantage of detecting droughts caused by abrupt precipitation deficits in a short time.GRACE-DSI is less accurate in drought monitoring for some periods due to the missing data,while the severity of abrupt precipitation absent in some cases can be overestimated from SPEI with big variability.This study shows the reliability and advantages of GPS data in drought monitoring.Chaolong YAO Zhicai LUO Yueming HU Changwei WANG Rui ZHANG Jinming LI 2020Journal of Geodesy and Geoinformation Science2020,3,3:5
6Luminescent metal-organic frameworks for nitro explosives detection显示文摘Metal-organic frameworks(MOFs) have been emerging as important multifunctional hybrid materials, not only due to the diversify framework architectures, but also contribute to the rich interactions among metals, ligands and guests. Nitro explosives have important influences for environmental protection and national homeland security. In this review, a brief description of luminescent MOFs is presented, accompanied by a short comment on the four types of metal-based luminescent MOFs as sensing materials for nitro explosives detection. Then the trends and challenges of luminescent MOFs as sensing materials for nitro explosives are also prospected.Tingting Cheng Jinsong Hu Chunhui Zhou Yueming Wang Mingdao Zhang 2016Science China Chemistry2016,59,8:4
7Generating high spatiotemporal resolution LAI based on MODIS/GF-1 data and combined Kriging-Cressman interpolation显示文摘Generation of high spatial and temporal resolution LAI(leaf area index)products is challenging because higher spatial resolution remotely sensed data usually have coarse temporal resolutions and vice versa.In this study,a novel method that combining Kriging interpolation and Cressman interpolation was proposed to generate high spatial and temporal resolution LAI products by fusing Moderate Resolution Imaging SpectroRadiometer(MODIS)characterized by coarse spatial resolution and high temporal resolution and Gaofen-1(GF-1)with fine spatial resolution and coarse temporal resolution.This method was applied to the Huangpu district of Guangzhou,Guangdong,China.The results showed that compared to field observation,the predicted values of LAI had an acceptable accuracy of 73.12%.Using Moran’s I index and Kolmogorov-Smirnov tests,it was found that the MODIS data were spatially auto-correlated and characterized by normal distributions.Scaling down the 1 km×1 km spatial resolution MODIS products to a spatial resolution of 30 m×30 m using point-Kriging resulted in a precision of 79.38%compared to the results at the same spatial resolution derived from an 8 m×8 m spatial resolution GF-1 image by scaling up using block-Kriging.Moreover,the regression models that accounts for the relationship between NDVI(Normalized Difference Vegetation Index)and LAI based on MODIS data obtained the determination coefficients ranging from 0.833 to 0.870.Finally,the data fusion and interpolation of MODIS and GF-1 data using Cressman method generated high spatial and temporal resolution LAI maps,which showed reasonably spatial and temporal variability.The results imply that the proposed method is a powerful tool to create high spatial and temporal resolution LAI products.Liu Zhenhua Huang Rugen Hu Yueming Fan Shudi Feng Peihua 2016International Journal of Agricultural and Biological Engineering2016,9,5:3
8Detection of short-term urban land use changes by combining SAR time series images and spectral angle mapping显示文摘Rapid urban sprawl and re-construction of old towns have been leading to great changes of land use in cities of China. To witness short-term urban land use changes, rapid or real time remote sensing images and effective detection methods are required. With the availability of short repeat cycle, relatively high spatial resolution, and weather-independent Synthetic Aperture Radar (SAR) remotely sensed data, detection of short-term urban land use changes becomes possible. This paper adopts newly released Sentinel-1 SAR data for urban change detection in Tianhe District of Guangzhou City in Southern China, where dramatic urban redevelopment practices have been taking place in past years. An integrative method that combines the SAR time series data and a spectral angle mapping (SAM) was developed and applied to detect the short-term land use changes. Linear trend transformations of the SAR time series data were first conducted to reveal patterns of substantial changes. Spectral mixture analysis was then conducted to extract temporal endmembers to reflect the land development patterns based on the SAR backscattering intensities over time. Moreover, SAM was applied to extract the information of significant increase and decrease patterns. The results of validation and method comparison showed a significant capability of both the proposed method and the SAR time series images for detecting the short-term urban land use changes. The method received an overall accuracy of 78%, being more accurate than that using a bi-temporal image change detection method. The results revealed land use conversions due to the removal of old buildings and their replacement by new construction. This implies that SAR time series data reflects the spatiotemporal evolution of urban constructed areas within a short time period and this study provided the potential for detecting changes that requires continuously short-term capability, and could be potential in other landscapes.Zhuokun PAN Yueming HU Guangxing WANG 2019Frontiers of Earth Science2019,13,3:3
9Shikonin alleviates collagen-induced arthritis mice by inhibiting M1 macrophage polarization显示文摘OBJECTIVE: To investigate the effects of shikonin(SKN) on M1 and M2 polarization of macrophages both in vitro and in vivo. METHODS: Collagen-induced arthritis(CIA) in male DBA/1 mice were treated with a dose of 4 mg/kg/day of SKN for 23 d(n = 6/group). The histopathology of inflamed joints in CIA mice was evaluated to test the antiarthritic effect of SKN. M1/M2 polarization of macrophages induced by lipopolysaccharide(LPS) and interferon(IFN)-γ or interleukin(IL)-4 and IL-13, were used to assess the effect of SKN(0.05, 0.1, and 0.2 μM). The effect of SKN on the protein expression of nitric oxide synthase, arginase, CD68, and CD206 was evaluated using western blot analysis. RESULTS: The results of this study revealed that SKN delayed the arthritis feet symptom score, reduced the incidence rate of arthritis, and relieved the inflammation of joints in CIA mice. SKN inhibited M1 macrophage polarization but did not affect M2 macrophage polarization in the joints of CIA mice. Moreover, SKN inhibited M1 polarization induced by LPS and IFN-γ, but did not affect M2 polarization induced by IL-4 and IL-13. CONCLUSION: These findings suggest that SKN alleviated CIA through inhibiting M1 macrophage polarization and has great potential as a new drug for RA treatment.HE Lianhua LUAN Huijie QIN Qingxia HE Juan CHEN Jian HU Yiping CAI Yueming SUN Desheng SHI Yu WANG Qingwen 2022Journal of Traditional Chinese Medicine2022,42,6:2
10β-Aminobutyric acid induces resistance of mango fruit to postharvest anthracnose caused by Colletotrichum gloeosporioides and enhances activity of fruit defense mechanisms显示文摘Zhengke Zhang Dongping Yang Bo Yang Zhaoyin Gao Min Li Yueming Jiang Meijiao Hu 2013Scientia Horticulturae2013,,:1
11The sink node placement and performance implication in mobile sensor networks 显示文摘Hu Yueming Xue Yueju Li Qing 2009Mobile Networks and Applications2009,14,2:1
12Robust statistical approach to stereo disparity maps denoising and refinement显示文摘The advent of convolutional neural networks has led to remarkable progress in dense stereo labeling problem,achieving superior performance over the traditional methods.However,the ill-posed nature of stereo matching makes noise(outliers)in winner-takes-all(WTA)disparity maps inevitable.This paper presents a robust statistical approach to noise detection and refinement of WTA disparity maps.In the context of noise detection,the input noisy WTA disparity map is segmented into regular grid cells(regions)with the aim of leveraging Markov random field(MRF)to infer candidate disparity labels.However,there are two key problems:there can be large severe outliers in the regions;second,the regular partition process may produce regions with mixed disparity distributions.To overcome these problems,we optimize a robust objective function over the segmented disparity map.By obtaining the optimal solution of the objective function through a maximum a posteriori estimation in a probabilistic model,we are able to infer MRF candidate disparity labels.We then apply a soft-segmentation constraint on the estimated MRF candidate disparity labels to describe and detect outliers in the disparity map.Next,an edge-preserving statistical inference that leverages the joint statistics of the disparity map and its guidance reference image is used to select correct candidate disparity for each detected outlier.Finally,a weighted median filter is applied to remove small spikes and irregularities in the resulting disparity map.Rigorous and comprehensive experiments showed that the proposed method is distributionally robust and outlier resistant,and can effectively detect and correct outliers in disparity maps.Middlebury evaluation benchmark validated the competitive performance of the proposed method.James Okae Juan Du Yueming Hu 2020Control Theory and Technology2020,18,4:1
13Optimized selection of suitable sites for farmland consolidation projects using multi-objective genetic algorithms显示文摘In order to select suitable sites for farmland consolidation projects,correlation analysis and evolutionary algorithms were used to optimize the evaluation of ecological,social and economic factors,avoiding subjective selection and ignorance of spatial relationships among land attributes.Multi-objective Genetic Algorithms(MOGA)were applied to select the best sites from the perspective of spatial relationship and land attribute evaluation.With carefully defined restrictions and variables,multi-objective optimization is able to select several suitable sites for farmland consolidation projects.The results from a case study in Yangshan,Guangdong of China showed that the selected sites were on the central and southern Yangshan with expected flat terrain and abundant water resources.An empirical experiment also demonstrated that the proposed method is able to provide well selected sites for land consolidation projects.Wang Lu Huang Ningsheng Kuang Yaoqiu Zhou Jinhao Zhao Yuan Zhang Zhen Hu Yueming 2014International Journal of Agricultural and Biological Engineering2014,7,3:1
14Geometric Deviation Modeling by Kinematic Matrix Based on Lagrangian Coordinate显示文摘Typical representation of dimension and geometric accuracy is limited to the self-representation of dimension and geometric deviation based on geometry variation thinking, yet the interactivity affection of geometric variation and gesture variation of multi-rigid body is not included. In this paper, a kinematic matrix model based on Lagrangian coordinate is introduced, with the purpose of unified model for geometric variation and gesture variation and their interactive and integrated analysis. Kinematic model with joint, local base and movable base is built. The ideal feature of functional geometry is treated as the base body; the fitting feature of functional geometry is treated as the adjacent movable body; the local base of the kinematic model is fixed onto the ideal geometry, and the movable base of the kinematic model is fixed onto the fitting geometry. Furthermore, the geometric deviation is treated as relative location or rotation variation between the movable base and the local base, and it's expressed by the Lagrangian coordinate. Moreover, kinematic matrix based on Lagrangian coordinate for different types of geometry tolerance zones is constructed, and total freedom for each kinematic model is discussed. Finally, the Lagrangian coordinate library, kinematic matrix library for geometric deviation modeling is illustrated, and an example of block and piston fits is introduced. Dimension and geometric tolerances of the shaft and hole fitting feature are constructed by kinematic matrix and Lagrangian coordinate, and the results indicate that the proposed kinematic matrix is capable and robust in dimension and geometric tolerances modeling.LIU Weidong HU Yueming LIU Yu DAI Wanyi 2015Chinese Journal of Mechanical Engineering2015,28,5:1
15Microwave heating enhances antioxidant and emulsifying activities of ovalbumin glycated with glucose in solid-state显示文摘TU Zongcai HU Yueming WANG Hui 2015Journal of Food Science and Technology2015,52,3:1
16Glycation promoted by dynamic high pressure microfluidisation pretreatment revealed by high resolution mass spectrometry显示文摘Xiaoqin Huang Zongcai Tu Hui Wang Qiuting Zhang Yueming Hu Lan Zhang Peipei Niu Yan Shi Hui Xiao 2013Food Chemistry2013,,3:1
17Monitoring behavior of poultry based on RFID radio frequency network显示文摘Poultry behavior monitoring is an important basis for the poultry disease warning.Manual monitoring is mostly used nowadays.In this work,the automatic monitoring system for assisting manual monitoring was examined.Sophisticated data mining techniques were used to leverage the data collected by RFID devices.Specifically,(1)weighing sensors and wireless networks of Multiple RFID-tag-collector groups were used to monitor the poultry behavior;(2)RFID tags were putted on individual poultry so that the moving time of the poultry between two RFID-tag-collectors could be recorded.Thus,the characteristic functions of poultry behaviors such as speed,ability to snatch food and resting time could be extracted based on the distance between two RFID-tag-collectors and the relevant time parameters;(3)the sick,normal,active and other poultry groups were categorized by using the K-means method which utilizing the behavior characteristics and poultry weight data in data mining.The results demonstrated that accurate classifications could be obtained according to the poultry characteristics,and the clustering results matched with the results obtained by manual method to identify the poultry groups.Consequently,the technique in this paper has great potential for large-scale poultry disease warning and poultry classification.Zhang Feiyang Hu Yueming Chen Liancheng Guo Lihong Duan Wenjie Wang Lu 2016International Journal of Agricultural and Biological Engineering2016,9,6:1
18A land consolidation project management information system bBase on workflow 显示文摘Zhou Jinhao Ling Weixing Hu Yueming 2011IEEE2011,,:1
19Robust adaptive control for a class of perturbed strict-feedback non-linear systems with unknown Prandtl-Ishlinskii hysteresis 显示文摘FENG Ying HU Yueming RABBATH C A 2008International Journal of Control2008,81,11:1
20Dynamic high pressure microfluidization-assisted extraction and antioxidant activities of sweet potato ( Ipomoea batatas L.) leaves flavonoid显示文摘Xiaoqin Huang Zongcai Tu Hui Xiao Zhi Li Qiuting Zhang Hui Wang Yueming Hu Lan Zhang 2013Food and Bioproducts Processing2013,,1:1
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