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| 1 | OPTIMIZED MEANSHIFT TARGET REFERENCE MODEL BASED ON IMPROVED PIXEL WEIGHTING IN VISUAL TRACKING显示文摘The generic Meanshift is susceptible to interference of background pixels with the target pixels in the kernel of the reference model, which compromises the tracking performance. In this paper, we enhance the target color feature by attenuating the background color within the kernel through enlarging the pixel weightings which map to the pixels on the target. This way, the background pixel interference is largely suppressed in the color histogram in the course of constructing the target reference model. In addition, the proposed method also reduces the number of Meanshift iterations, which speeds up the algorithmic convergence. The two tests validate the proposed approach with improved tracking robustness on real-world video sequences. | Chen Ken Song Kangkang Kyoungho Choi Guo Yunyan | 2013 | Journal of Electronics(China)2013，30，3： | 4 |
| 2 | In- hibitory effects of salicylic acid family compounds on the di- phenolase activity of mushroom tyrosinase显示文摘 | ZHANG Jiping CHEN Qingxi SONG Kangkang | 2006 | Food Chem2006，95，4： | 1 |
| 3 | Research on Configuration and Innovation of Service Supply Chain: A Case Study 显示文摘 | Song Hua Yu Kangkang | 2009 | International Journal of Services Economics and Management2009，3，1： | 1 |
| 4 | Inhibitory effects of mushroom tyrosinase by some alkyl benzaldehydes显示文摘 | CHEN Qingxi SONG Kangkang WANG Qin | 2003 | Journal of Enzyme Inhibition and Medicinal Chemistry2003，18，6： | 1 |
| 5 | The selective regulation of immune responses by matrix metalloproteinase MMP14 in Ostrinia furnacalis显示文摘Matrix metalloproteinases (MMPs) are crucial for tissue remodeling and immune responses in insects, yet it remains unclear how MMPs affect the various immune processes against pathogenic infections and whether the responses vary among insects. In this study, we used the lepidopteran pest Ostrinia furnacalis larvae to address these questions by examining the changes of immune-related gene expression and antimicrobial activity after the knockdown of MMP14 and bacterial infections. We identified MMP14 in O. furnacalis using the rapid amplification of complementary DNA ends (RACE), and found that it was conserved and belonged to the MMP1 subfamily. Our functional investigations revealed that MMP14 is an infection-responsive gene, and its knockdown reduces phenoloxidase (PO) activity and Cecropin expression, while the expressions of Lysozyme, Attacin, Gloverin, and Moricin are enhanced after MMP14 knockdown. Further PO and lysozyme activity determinations showed consistent results with gene expression of these immune-related genes. Finally, the knockdown of MMP14 decreased larvae survival to bacterial infections. Taken together, our data indicate that MMP14 selectively regulates the immune responses, and is required to defend against bacterial infections in O. furnacalis larvae. Conserved MMPs may serve as a potential target for pest control using a combination of double-stranded RNA and bacterial infection. | Kangkang Chen Shiqi Lu Jiahui Song Xiaoyi Dou Xiangyi Wei Xinyan Wang Xu Liu Congjing Feng | 2023 | Insect Science2023，30，6： | 0 |
| 6 | Identification of binding domains and key amino acids involved in the interaction between BmLARK and G4 structure in the BmPOUM2 promoter in Bombyx mori显示文摘It has been found that the non-B form DNA structures,like G-quadruplex(G4)and i-motif,are involved in many important biological processes.Our previous study showed that the silkworm transcription factor BmLARK binds to the G4 structure in the promoter of the transcription factor BmPOUM2 and regulates its promoter activity.However,the binding mechanism between BmLARK and BmPOUM2 G4 structure remains unclear.In this study,binding domains and key amino acid residues involved in the interaction between BmLARK and BmPOUM2 G4 were studied.The electrophoretic mobility shift assay results indicated that the two RNA-recognition motifs(RRM)of BmLARK are simultaneously required for the binding with the G4 structure.Either RRM1 or RRM2 alone could not bind with the G4 structure.The zinc-finger motif was not involved in the binding.A series of mutant proteins with specific amino acid mutations were expressed and used to identify the key amino acid residues involving the interaction.The results indicated thatβsheets,especially theβ1 andβ3 sheets,in the RRM domains of BmLARK played critical roles in the binding with the G4 structure.Several amino acid mutations of RRM1/2 in ribonucleoprotein domain 1(RNP1)(motif inβ3 strand)and RNP2(motif inβ1 strand)caused loss of binding ability,indicating that these amino acids are the key sites for the binding.All the results suggest that RRM domains,particularly their the RNP1 and RNP2 motifs,play important roles not only in RNA recognition,but also in the G4 structure binding. | Yuling Peng Kangkang Niu Guoxing Yu Mingxi Zheng Qiulan Wei Qisheng Song Qili Feng | 2021 | Insect Science2021，28，4： | 0 |
| 7 | Separating overlapping bat calls with a bi-directional long short-term memory network显示文摘Acquiring clear acoustic signals is critical for the analysis of animal vocalizations.Bioacoustics studies commonly face the problem of overlapping signals,which can impede the structural identification of vocal units,but there is currently no satisfactory solution.This study presents a bi-directional long short-term memory network to separate overlapping echolocation-communication calls of 6 different bat species and reconstruct waveforms.The separation quality was evaluated using 7 temporal-spectrum parameters.All the echolocation pulses and syllables of communication calls in the overlapping signals were separated and parameter comparisons showed no significant difference and negligible deviation between the extracted and original calls.Clustering analysis was conducted with separated echolocation calls from each bat species to provide an example of practical application of the separated and reconstructed calls.The result of clustering analysis showed high corrected rand index(82.79%),suggesting the reconstructed waveforms could be reliably used for species classification.These results demonstrate a convenient and automated approach for separating overlapping calls.The study extends the application of deep neural networks to separate overlapping animal sounds. | Kangkang ZHANG Tong LIU Shengjing SONG Xin ZHAO Shijun SUN Walter METZNER Jiang FENG Ying LIU | 2022 | Integrative Zoology2022，17，5： | 0 |
| 8 | A Study on Aerodynamic Performance of Diff erent Bionic-Structured Surfaces via Belt Grinding显示文摘The structural characteristics of the surfaces of sharkskin have great influence on their aerodynamic performance.It has been proved that the sharkskin’s ribbed structure can improve the aerodynamic performance of the parts up to 10%.At present,the main processing methods for this structure are laser,rolling,etc.,which have low efficiency and poor surface integrity.Belt grinding is widely used in the surface grinding and polishing.It plays an important role in improving the surface integrity and can realize the micro-structure machining at the same time.To achieve drag reduction,based on the characteristics of drag reduction of Bionic-Ribbed Structures(BRS),diff erent BRS(V,trapezoid and wave)on a blade were processed and studied.First,this paper introduces the theory of drag reduction induced by BRS and processing methods of diff erent BRS on a blade by belt grinding,and carried out the verification of the belt-grinding methods.Then,diff erent BRS models were established on the blade with diff erent tip angles,and the aerodynamic performance was analyzed through simulation.It was found that the low-velocity layer near the BRS decreased when tip angle increased.Its wall shear stress also increased and tip angle of 45o had the best performance regardless of which BRS was.Some suggestions were given for belt grinding.The velocity along height from valley of BRS and velocity streamline was demonstrated.Secondary vortex was observed.Velocity gradient and vortex were the main reasons for the diff erence of wall shear stress. | Guijian Xiao Yi He Kun Zhou Shengwang Zhu Shayu Song Kangkang Song | 2021 | Journal of Bionic Engineering2021，18，5： | 0 |
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