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Cloning and Characterization of 6-Phosphogluconolactonase Gene in Silkworm Bombyx mori
Yang, HuaJun,Chen, KePing,Yao, Qin,Guo, ZhongJian Korean Society of Sericultural Science 2007 International Journal of Industrial Entomology Vol.14 No.2
As the genome of B. mori is available in GenBank and the EST database of B. mori is expanding, identification of novel genes of B. mori was conceivable by datamining techniques and bioinformatics tools. In this study, we used the in silico cloning method to get the 6-Phosphogluconolactonase (6PGL) gene of B. mori and analysed with bioinformatics tools. The result was confirmed by RT-PCR and prokaryotic expression. The 6PGL cDNA comtains a 702 bp ORF. The deduced protein has 233 amino acid residues, with the predicted molecular weight of 25946. 72 Da, isoelectric point of 5.41, and contains conserved NagB domains. This gene has been registered in GenBank under the accession number EF198104.
Quasi-Two-Dimensional Metal Oxide Semiconductors Based Ultrasensitive Potentiometric Biosensors
Chen, Huajun,Rim, You Seung,Wang, Isaac Caleb,Li, Chao,Zhu, Bowen,Sun, Mo,Goorsky, Mark S.,He, Ximin,Yang, Yang American Chemical Society 2017 ACS NANO Vol.11 No.5
<P>Ultrasensitive field-effect transistor-based biosensors using quasi two -dimensional metal oxide semiconductors were demonstrated. Quasi-two-dimensional low-dimensional metal oxide semiconductors were highly sensitive to electrical perturbations at the semiconductor bio interface and showed competitive sensitivity compared with other nanomaterial-based biosensors. Also, the solution process made our platform simple and highly reproducible, which was favorable compared with other nanobioelectronics. A quasi-two-dimensional In2O3-based pH sensor showed a small detection limit of 0.0005 pH and detected the glucose concentration at femtomolar levels. Detailed electrical characterization unveiled how the device's parameters affect the biosensor sensitivity, and lowest detectable charge was extrapolated, which was consistent with the experimental data.</P>
Boosting Responsivity of Organic–Metal Oxynitride Hybrid Heterointerface Phototransistor
Rim, You Seung,Ok, Kyung-Chul,Yang, Yang Michael,Chen, Huajun,Bae, Sang-Hoon,Wang, Chen,Huang, Yu,Park, Jin-Seong,Yang, Yang American Chemical Society 2016 ACS APPLIED MATERIALS & INTERFACES Vol.8 No.23
<P>Amorphous metal oxides are attractive materials for various sensor applications, because of high electrical performance and easy processing. However, low absorption coefficient, slow photoresponse, and persistent photoconductivity of amorphous metal oxide films from the origin of deep-level defects are obstacles to their use as photonic applications. Here, we demonstrate ultrahigh photoresponsivity of organic-inorganic hybrid phototransistors featuring bulk heterojunction polymers and low bandgap zinc oxynitride. Spontaneous formation of ultrathin zinc oxide on the surface of zinc oxynitride films could make an effective band-alignment for electron transfer from the dissociation of excitons in the bulk heterojunction, while holes were blocked by the deep highest occupied molecular orbital level of zinc oxide. These hybrid structure-based phototransistors are ultrasensitive to broad-bandwidth photons in ultraviolet to near infrared regions. The detectivity and a linear dynamic range exceeded 10(12) Jones and 122.3 dB, respectively.</P>
Xiao Yang,Huajun Cao,Yong-peng Chen,Li-Bin Zhu,Ben-jie Li 한국정밀공학회 2017 International Journal of Precision Engineering and Vol.18 No.2
High-speed dry hobbing is the dominating green technique for gear hobbing owing to its high productivity and environmental friendliness. However, a large amount of cutting heat is generated during the machining process due to the absence of metalworking fluids and the adoption of high cutting speed. A better understanding of chip heat-carrying capacity for high-speed dry hobbing is quite necessary when aiming to reduce the influence of cutting heat on machining precision. In this paper, an analytical model is established to quantitatively determine the chip heat-carrying capacity of high-speed dry hobbing. According to the progressive heat transfer characteristic of high-speed dry hobbing, cutting heat generation and transmission are analyzed. 3D chip geometry is numerically calculated by modeling the complex hob geometry and the interrelated kinematic relations of high-speed dry hobbing. Based on the 3D chip geometry and the specific cutting energy, chip heat-carrying capacity model is developed considering three heat sources. In this model, chip heat partition is experimentally determined by calorimetric method. With the help of the developed model, chip heat-carrying quantity and chip heat-carrying efficiency are discussed by investigating their influence factors (hob rotation speed, axial feed, feed method, chip removal time and hob geometry).
Qiang Yang,HuaJun Wang,Xuegang Luo 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.6
Image super resolution reconstruction has important significance in remote sensing image feature extraction and classification etc.. Because the remote sensing image size is larger, it is difficult to super resolution reconstruction using multiple images, the compressed sensing (CS) theory was introduced into the super-resolution reconstruction. Algorithm designed the low pass filter to reduce the sample correlation matrix and wavelet, at the same time, the algorithm selects the partial Hadamard-matrix as the measurement matrix, it has faster reconstruction speed and low storage requirements, which ensure that the image reconstruction keep with the RIP criterion of compressed sensing theory . Finally, this paper realizes the remote sensing image super resolution reconstruction through the improved iterative algorithm. Experiments show that the reconstructed images of the PSNR value has increased, the reconstructed image has a better visual effect.
Ying Zhang,Huajun Cao,Peng Chen,Li-Bin Zhu,Xiao Yang 대한기계학회 2017 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.31 No.6
Gear hobbing technology is one of the most widely used forming processes of gear teeth. And the development of dry hobbing technologyprovides a solution for realizing productive, economical, and ecological gear production. Since there is no cutting oil for coolingand lubrication in dry hobbing process, the hob tool life, thermal deformation errors of machine tool, and quality of workpiece are sensitiveto the cutting parameters, especially the cutting speed and tip chip thickness. Considering this situation, a dry hobbing parametersoptimization model with the hobbing efficiency as our objective, and the hobbing cost per piece, gear quality, tact time as constraints wasestablished, in which the cutting speed and tip chip thickness were considered as optimal variables and the material of workpiece, coatingof hob, and feed rate were considered comprehensively. An iterative test method is proposed to solve this model. And for the applicationin automated production line, an online adaptive application system was also developed based on SINUMERIK 840D NC system. Theparameters of five different kinds of material gear were optimized by applying this model and system, and the result showed the modeland the system were practical.
Defocus Study of a Novel Optical Antenna Illuminated by a Radial Radiation Fiber Laser
Ping Jiang,Huajun Yang,Kang Xie,Mingyin Yu,Shengqian Mao 한국광학회 2014 Current Optics and Photonics Vol.18 No.5
A novel antenna with ellipsoid-paraboloid surfaces configuration is designed for matching the incident radial radiation fiber laser distribution for maximum transmission efficiency. The on-axial and off-axial defocus effects on the optical antenna system, resulting in energy loss, are analyzed in detail. Knowledge of the effects of those defocuses on beam divergence, aberration and antenna transmission efficiency is of great importance to the long range communication systems.
Keke Hu,Huajun Wang,Yihua Liu,Chao Yang 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.28 No.-
Various heterogeneous KNO3/CaO catalysts with different KNO3 loadings are prepared and used for thesynthesis of glycerol carbonate from glycerol and dimethyl carbonate. It is found that the basicity ofKNO3/CaO catalyst depends on the KNO3 loading and calcination temperature. Under the dimethylcarbonate/glycerol molar ratio of 3.0, reaction temperature of 70 8C, and reaction time of 2 h, the glycerolconversion for the fresh KNO3/CaO(15%, 700) catalyst can reach 99.23%. Recycling experiments revealthat 94.95% of glycerol conversion can be obtained at the fifth reuse for the recovered KNO3/CaO(15%,700), which is much higher than that of unmodified CaO.
( Fuquan Zhu ),( Huajun Wang ),( Liping Yang ),( Changguo Li ),( Sen Wang ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.8
With the wide application of hyperspectral images, it becomes more and more important to compress hyperspectral images. Conventional recursive least squares (CRLS) algorithm has great potentiality in lossless compression for hyperspectral images. The prediction accuracy of CRLS is closely related to the correlations between the reference bands and the current band, and the similarity between pixels in prediction context. According to this characteristic, we present an improved CRLS with adaptive band selection and adaptive predictor selection (CRLS-ABS-APS). Firstly, a spectral vector correlation coefficient-based k-means clustering algorithm is employed to generate clustering map. Afterwards, an adaptive band selection strategy based on inter-spectral correlation coefficient is adopted to select the reference bands for each band. Then, an adaptive predictor selection strategy based on clustering map is adopted to select the optimal CRLS predictor for each pixel. In addition, a double snake scan mode is used to further improve the similarity of prediction context, and a recursive average estimation method is used to accelerate the local average calculation. Finally, the prediction residuals are entropy encoded by arithmetic encoder. Experiments on the Airborne Visible Infrared Imaging Spectrometer (AVIRIS) 2006 data set show that the CRLS-ABS-APS achieves average bit rates of 3.28 bpp, 5.55 bpp and 2.39 bpp on the three subsets, respectively. The results indicate that the CRLS-ABS-APS effectively improves the compression effect with lower computation complexity, and outperforms to the current state-of-the-art methods.