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Yanxiu Zuo(Yanxiu Zuo),Junxiang Qian(Junxiang Qian),Lichi Li(Lichi Li),Zhangguan Ni(Zhangguan Ni),Jun Wu(Jun Wu),Huiyun Zhang(Huiyun Zhang),Yufu Chen(Yufu Chen),Huiyun Zhang(Huiyun Zhang),Li Yao(Yao L 아시아사회과학학회 2022 Jornal of Asia Social Science Vol.9 No.1
Baihua Village is a typical mountainous village in the southwest part of Lujiang county, Longyang District, Baoshan City, Yunnan Province. Residents there made a living on the land, including growing sugarcane and planting maize, whose annual income was no more than 2000 yuan before 2006. Since then when a research institute has set it as one of the pilot villages for mango growing impetus with sci-tech. For the sake of “One village and One Product”, mango breeding and relevant techniques have been applied to daily work. Within years, the developed model of has been explored: simply “villages are the main carriers facilitated by the specialized cooperative for mango growing, back-up by science and technology. Technical trainings serve as the driving force for the leading growers, meanwhile, sellers work as the bridge link the producing-end and the markets”.
c-Cbl-Mediated Neddylation Antagonizes Ubiquitination and Degradation of the TGF-β Type II Receptor
Zuo, W.,Huang, F.,Chiang, Y.,Li, M.,Du, J.,Ding, Y.,Zhang, T.,Lee, H.,Jeong, L.,Chen, Y.,Deng, H.,Feng, X.H.,Luo, S.,Gao, C.,Chen, Y.G. Cell Press 2013 Molecular cell Vol.49 No.3
Transforming growth factor β (TGF-β) is a potent antiproliferative factor in multiple types of cells. Deregulation of TGF-β signaling is associated with the development of many cancers, including leukemia, though the molecular mechanisms are largely unclear. Here, we show that Casitas B-lineage lymphoma (c-Cbl), a known proto-oncogene encoding an ubiquitin E3 ligase, promotes TGF-β signaling by neddylating and stabilizing the type II receptor (TβRII). Knockout of c-Cbl decreases the TβRII protein level and desensitizes hematopoietic stem or progenitor cells to TGF-β stimulation, while c-Cbl overexpression stabilizes TβRII and sensitizes leukemia cells to TGF-β. c-Cbl conjugates neural precursor cell-expressed, developmentally downregulated 8 (NEDD8), a ubiquitin-like protein, to TβRII at Lys556 and Lys567. Neddylation of TβRII promotes its endocytosis to EEA1-positive early endosomes while preventing its endocytosis to caveolin-positive compartments, therefore inhibiting TβRII ubiquitination and degradation. We have also identified a neddylation-activity-defective c-Cbl mutation from leukemia patients, implying a link between aberrant TβRII neddylation and leukemia development.
YongHeng Chen,Wanli Zuo,kerui Chen,Yaojin lin 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.1
Most of the models not aware of these dependencies on document time stamps. Not modeling time can confound co-occurrence patters and results in exchangeability of topic problem, which is important factor to deal with when finding dynamic topic discovery. This limitation has thus motivated work on developing a generalized framework for incorporating time information into topic models. Consequently, a topic model named Topics over Time (TOT) is proposed, which introduces a time node in topic model to handle the exchangeability of topics problem. However it lacks the capability to accommodate data type of side information. In this paper, we present a generative time LDA-style topic model with a variety of side information named Time Label Topic(TLT), which can find not only how the latent low-dimensional structure of document-response pairs changes over time, but also overcome the exchangeability of topics problem. Empirical results demonstrate significant improvements accuracy of time stamp and response variable prediction, and lower perplexity of our proposed model and dominance over other models.
PointMS: Semantic Segmentation for Point Cloud Based on Multi-scale Directional Convolution
Hui Chen,Wanlou Chen,Yipeng Zuo,Peng Xu,Zhonghua Hao 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.10
In the field of point cloud scene segmentation with deep learning, the ability of the network to extract spatial structure information limits the performance of semantic segmentation. This work proposes a novel framework named PointMS, which handles the semantic segmentation of point cloud scene, to solve the problem of missing local feature information due to the lack of spatial structure information on the training stage. The structure of framework utilizes spatial structure information of point cloud and balances the extraction of global feature and subtle feature when processing point cloud data. Firstly, a multi-scale combination module (SIFT-MS) is used to extract local features of different scales for enhancing the perception of local structure information at each point. Secondly, the process of feature transmission often leads to the loss of information, so a feature supplement module (FSM) is proposed to complete the information lost after feature transformation through the effective combination of global feature and subtle feature. This module integrates the features of different locations to supplement the information lost in feature conversion. The experimental results demonstrate that the proposed framework is efficient for semantic segmentation of S3DIS dataset. SIFT-MS module and FSM module can effectively improve the performance of the semantic segmentation model of point cloud.
New Evidence of Alleles (V199I and G52S) at the PRKAG3 (RN) Locus Affecting Pork Meat Quality
Chen, J.F.,Dai, L.H.,Peng, J.,Li, J.L.,Zheng, R.,Zuo, B.,Li, F.E.,Liu, M.,Yue, K.,Lei, M.G.,Xiong, Y.Z.,Deng, C.Y.,Jiang, S.W. Asian Australasian Association of Animal Productio 2008 Animal Bioscience Vol.21 No.4
The porcine PRKAG3 (RN) gene encodes the regulatory gamma subunit of adenosine monophosphate-activated protein kinase (AMPK), which is a good candidate gene affecting meat quality. In this study, the effects of two missense mutations A595G (Ile199Val) and G154A (Gly52Ser) in porcine PRKAG3 gene on meat quality traits were studied in M. Longissimus dorsi (LD), M. Semispinalis capitis (SC) and M. Biceps femoris (BF) from different populations of 326 pigs. The PRKAG3 alleles 199I, 199IV, 52S and 52G were identified with PCR-RFLPs and all genotypes - 199I/199I, 199I/199V, 199V/199V, 52S/52S, 52S/52G and 52G/52G - were found. The frequency of V allele was larger than that of I allele in all populations. I allele frequency was zero in Chinese Meishan pigs (population D) especially. G allele frequency was larger than that of S allele in all populations except Large White (population A). Both variations at the PRKAG3 locus significantly affected these meat quality traits. The pork meat quality has not previously been established in Meishan or crosses thereof. The results suggested that generally pH of LD, SC and BF was higher in Meishan pigs than that in other populations. Moreover, Meishan pigs showed higher water-holding capacity and intramuscular fat (IMF), lower water content and water loss percentage compared to other populations in terms of the two variations. The results present here supply new evidence that alleles V199I and G52S at the PRKAG3 locus affect pork meat quality and provide useful information on pork production.
Damage detection of nonlinear structures with analytical mode decomposition and Hilbert transform
Zuo-Cai Wang,Dong Geng,Wei-Xin Ren,Guang-Feng Zhang,Gen-Da Chen 국제구조공학회 2015 Smart Structures and Systems, An International Jou Vol.15 No.1
This paper proposes an analytical mode decomposition (AMD) and Hilbert transform method for structural nonlinearity quantification and damage detection under earthquake loads. The measured structural response is first decomposed into several intrinsic mode functions (IMF) using the proposed AMD method. Each IMF is an amplitude modulated-frequency modulated signal with narrow frequency bandwidth. Then, the instantaneous frequencies of the decomposed IMF can be defined with Hilbert transform. However, for a nonlinear structure, the defined instantaneous frequencies from the decomposed IMF are not equal to the instantaneous frequencies of the structure itself. The theoretical derivation in this paper indicates that the instantaneous frequency of the decomposed measured response includes a slowly-varying part which represents the instantaneous frequency of the structure and rapidly-varying part for a nonlinear structure subjected to earthquake excitations. To eliminate the rapidly-varying part effects, the instantaneous frequency is integrated over time duration. Then the degree of nonlinearity index, which represents the damage severity of structure, is defined based on the integrated instantaneous frequency in this paper. A one-story hysteretic nonlinear structure with various earthquake excitations are simulated as numerical examples and the degree of nonlinearity index is obtained. Finally, the degree of nonlinearity index is estimated from the experimental data of a seven-story building under four earthquake excitations. The index values for the building subjected to a low intensity earthquake excitation, two medium intensity earthquake excitations, and a large intensity earthquake excitation are calculated as 12.8%, 23.0%, 23.2%, and 39.5%, respectively.
Chen, J.F.,Xiong, Y.Z.,Zuo, B.,Zheng, R.,Li, F.E.,Lei, M.G.,Li, J.L.,Deng, C.Y.,Jiang, S.W. Asian Australasian Association of Animal Productio 2005 Animal Bioscience Vol.18 No.11
The Melanocortin-4 Receptor (MC4R) and Insulin-like Growth Factor 2 (IGF2) are two important candidate genes related to fat deposition and carcass traits. MC4R was found on study on human obesity and then was studied as candidate gene affecting food intake and fat deposition traits in mice and pigs. Insulin-like Growth Factor 2 (IGF2) gene plays an important role on tumor cell proliferation and muscle growth. It also affects fat traits and live weight in pigs. In this paper, MC4R and IGF2 were studied as two candidate genes associated with important economic traits such as fat deposition and carcass traits in five different pig populations. Taq I-PCR-RFLP and Bcn I-PCR-RFLP were respectively used to detect the polymorphism of genotypes of MC4R and IGF2 genes. Different MC4R genotype frequencies were observed in four populations. IGF2 genotype frequencies were also different in two populations. The results of association analysis show both MC4R and IGF2 genes were significantly associated with fat deposition and carcass traits in about 300 pigs. This work will add new evidence of MC4R and IGF2 affecting fat deposition and carcass traits in pigs and show that two genes can be used as important candidate genes for marker assistant selection (MAS) of growth and lean meat percentage in pigs.
Two New Phenolic Glycosides from Curculigo orchioides
Zuo, Ai-Xue,Shen, Yong,Jiang, Zhi-Yong,Zhang, Xue-Mei,Zhou, Jun,Lu, Jun,Chen, Ji-Jun Korean Chemical Society 2011 Bulletin of the Korean Chemical Society Vol.32 No.3
Two new phenolic glycosides were isolated from the rhizomes of Curculigo orchioides Gaertn.. Based on comprehensive spectroscopic analyses including IR, MS, 1D- and 2D NMR (COSY, HSQC, and HMBC), their structures were elucidated as 3-hydroxyl-5-methyphenol-1-O-[${\beta}$-D-glucopyranosyl-($1{\rightarrow}3$)-${\beta}$-D-glucopyranoside (1) and 1',3'-dimethoxyl-4-hydroxyalangifolioside (2).
Chen, Yong,Luo, Hailing,Liu, Xueliang,Wang, Zhenzhen,Zhang, Yuwei,Liu, Kun,Jiao, Lijuan,Chang, Yanfei,Zuo, Zhaoyun Asian Australasian Association of Animal Productio 2013 Animal Bioscience Vol.26 No.5
To investigate the effect of restricted grazing time on behavior of Tan sheep on desert steppe, forty 4-months old male Tan sheep with an original body weight (BW) of $15.62{\pm}0.33$ kg were randomly allocated to 4 grazing groups which corresponded to 4 different restricted grazing time treatments of 2 h/d (G2), 4 h/d (G4), 8 h/d (G8) and 12 h/d (G12) access to pasture. The restricted grazing times had a significant impact on intake time, resting time, ruminating time, bite rate and movement. As the grazing time decreased, the proportion of time spent on intake, bite rate and grazing velocity significantly (p<0.05) increased, but resting and ruminating time clearly (p<0.05) decreased. The grazing months mainly depicted effect on intake time and grazing velocity. In conclusion, by varying their foraging behavior, Tan sheep could improve grazing efficiency to adapt well to the time-limited grazing circumstance.