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Ji‐Rui Wang,Yu-Zhou Du,Jon H. MARTIN,Zhi-Hong XU 한국곤충학회 2018 Entomological Research Vol.48 No.5
A new whitefly species, Pealius yunnanensis sp. nov., collected from Mengzi, Caoba village (Yunnan, China) on Ficus microcarpa Linn. f. (Urticales: Moraceae), is described with morphology, line illustrations, photographs and scanning electron microscope images. In addition, a checklist of Chinese species of Pealius is provided and all Pealius species recorded from Ficus around the world are listed. Specimens have been deposited in the Insect Collection of Zhejiang Agriculture & Forestry University (ZAFU), Lin'an, China.
Adaptive polymorphism of tetrameric alpha-amylase inhibitors in wild emmer wheat
Ji-Rui Wang,Mei Deng,Ya-Xi Liu,Xin Qiao,Zhen-Hong Chen,Qian-Tao Jiang,Zhi-En Pu,Yu-Ming Wei,Eviatar Nevo,You-Liang Zheng 한국유전학회 2011 Genes & Genomics Vol.33 No.4
α-Amylase inhibitors are attractive candidates for the control of seed weevils as these insects are highly dependent on starch as an energy source. Wheat tetrameric α-amylase inhibitor (WTAI) is a mixture (60 kDa) of 3 units: WTAI-CM2 plus 2 WTAI-CM3 plus WTAI-CM16, where none of the subunits is active on its own. A total of 334 gene sequences were obtained from 14 populations (131 accessions= genotypes) of wild emmer wheat. The frequencies of SNPs in WTAI-CM2,WTAI-CM3 and WTAI-CM16 were 1 out of 87.6, 101.4, and 108.0 bases, where 5, 5 and 4 SNPs were detected in the coding sequence, respectively. The nucleotide sequence of each unit of tetrameric α-amylase inhibitors were much more conserved than that of dimeric or monomeric inhibitors. The wild emmer wheat populations showed diversity on three WTAI loci,both between and within populations. It was revealed that WTAI were naturally selected for across populations by a ratio of dN/dS as expected. The results of purifying and positive selection hypothesis (p<0.05) also showed that the sequences of WTAI were contributed by natural selection, which ensures the protein function conservation as well as the inhibition diversity with insects amylase enzyme. Ecological factors, singly or in combination, explained a significant proportion of the variations in the SNPs. Ecological factors have an important evolutionary role in gene differentiation at these loci, and tetrameric α-amylase inhibitors are obviously adaptively selected under different environments.
Constructing ZnCo2O4@CTP microspheres as a high-energy lithium storage material
Yu-Rui Ji,Si-Yu Qi,Jian-Cang Wang,Pengfei Wang,Ning Ren,Ting-Feng Yi 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.120 No.-
Transition metal oxides are deemed as a promising substitute for graphite anode materials of Li-ion batteries(LIBs) on account of their large specific capacity. Nonetheless, the large volume change in the processof charging and discharging leads to low capacity retention. Herein, a well-designed ZnCo2O4@coaltar pitch based porous carbon (ZCO-CTP) microsphere is prepared to construct the high-performanceanode of LIBs. The coating modification of CTP significantly reduces the polarization and charge transferresistance and improves the migration ability of ions and electrons, thus achieving a superior reversiblecapacity and cycling stability of ZCO-CTP anode. The battery with obtained ZCO-CTP5 provides a largecharge capacity of 406.17 mAh/g at 1000 mA g1 compared with pristine ZCO (only 157.78 mAh/g). Even after 1000 cycles at 1000 mA g1, the battery can achieve a charge/discharge capacity of598.46/601.17 mAh/g. We believe that the application of CTP will provide a new perspective for theexploitation of high-performance anode materials for LIBs.
Inhibition of Nemo-like Kinase Increases Taxol Sensitivity in Laryngeal Cancer
Dong, Ji-Rui,Guo, Nan,Zhao, Jian-Pu,Liu, Pin-Duo,Feng, Hui-Hong,Li, Yan Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.12
Several studies have shown that nemo-like kinase (NLK) plays a vital role in apoptosis of cancer cells. The present research concerned effects and mechanisms of Taxol on NLK knockdown human laryngeal cancerHep-2 cell lines in vitro. Using RNAi, methyl-thiazoltetrazolium (MTT) assays, real-time RT-PCR, Western blotting and flow cytometry analysis, growth and the cell cycle progression of NLK knockdown Hep-2 cells and expression of downstream molecules were observed. Cell growth was obviously suppressed in the Taxol treated group (P<0.001, 48 hours). Cell numbers of combined Taxol-based chemotherapy with lentivirus mediated RNAi treatment group (Lv-shNLK+Taxol goup) were significantly different from NLK-specific siRNA lentivirus infected group (Lv-shNLK group) (p<0.001). Flow cytometry analysis revealed that Lv-shNLK+Taxol caused the G0/G1-phase DNA content to decrease from 44.1 to 3.33% (p<0.001) and the S-phase DNA content to increase from 38.4 to 82.0% (p<0.001), in comparison with the Lv-shNLK+Taxol group. Immunoblot analysis showed that knockdown of NLK led to significant reduction in the levels of cyclin D1, PCNA and PARP, whereas cyclin B1 was elevated in. Cell growth was also obviously suppressed in the Hep-2 cell line, knockdown of NLK making them more sensitive to Taxol treatment. NLK is expected to become a target of new laryngeal cancer gene therapies.
( Rui Fa Hu ),( Ji Kun Huang ),( Song Qing Jin ),( Scott Rozelle ) 한국농촌경제연구원 2000 Journal of Rural Development Vol.23 No.1
The overall goal of our paper is to create a framework for studying the impact of national investment into research and extension in China and to measure the impact that such investments have had on creating productivity-increasing technology. Our purpose is to provide more convincing measures of the impacts of crop-specific investment in national research programs and the import of materials from the CG system. Specifically, we use a new measure of seed technology to track the changes in the quantity and quality of genetic resources in China`s major rice producing provinces from 1982 to 1995. We find that new technology has provided almost all of the growth of China`s TFP of rice. The International Rice Research Institute has supplied an important part of China`s rice germplasm and positively contributed to the health of Chin0a`s rice sector.
Rui-Jun Yan,Jing Wu,Chao Yuan,Ji-Yeong Lee,Chang-Soo Han 제어로봇시스템학회 2014 제어로봇시스템학회 국제학술대회 논문집 Vol.2014 No.10
This paper presents a natural corners-based two-dimensional (2D) Simultaneous Localization and Mapping (SLAM) with a robust data association algorithm in a real unknown environment. The corners are extracted from raw laser sensor data and chosen as landmarks for correcting the pose of mobile robot and building the map. In the proposed data association method, the extracted corners in every step are separated into several groups with small numbers of corners. In each group, the local best matching vector between the new corners and the stored ones is found by joint compatibility, while the nearest feature for every new corner is checked by individual compatibility. All these groups with local best matching vector and nearest feature candidate of each new corner are combined by partial compatibility with the linear matching time. The SLAM experiment results in an indoor environment based on the extracted corners show good robustness and low computation complexity of the proposed algorithms in comparison with existing methods.
( Rui Hao ),( Yan Qiang ),( Xiaolei Liao ),( Xiaofei Yan ),( Guohua Ji ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.1
In the computer-aided detection (CAD) system of pulmonary nodules, a high false positive rate is common because the density and the computed tomography (CT) values of the vessel and the nodule in the CT images are similar, which affects the detection accuracy of pulmonary nodules. In this paper, a method of automatic detection of pulmonary nodules based on multi-scale enhancement filters and 3D shape features is proposed. The method uses an iterative threshold and a region growing algorithm to segment lung parenchyma. Two types of multi-scale enhancement filters are constructed to enhance the images of nodules and blood vessels in 3D lung images, and most of the blood vessel images in the nodular images are removed to obtain a suspected nodule image. An 18 neighborhood region growing algorithm is then used to extract the lung nodules. A new pulmonary nodules feature descriptor is proposed, and the features of the suspected nodules are extracted. A support vector machine (SVM) classifier is used to classify the pulmonary nodules. The experimental results show that our method can effectively detect pulmonary nodules and reduce false positive rates, and the feature descriptor proposed in this paper is valid which can be used to distinguish between nodules and blood vessels.