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| 1 | Curative effect of warming kidney and fortifying spleen recipe on diarrhea-predominant irritable bowel syndrome显示文摘OBJECTIVE:To observe the curative effect of a recipe for warming the kidney and fortifying the spleen on diarrhea-predominant irritable bowel syndrome(IBS-D).METHODS:This multi-center,double-blind,randomized,and controlled trial included 240 patients that met the inclusion criterion and were then divided into two groups of 120.Patients in the treatment group(group A)took modified Sishen Wan orally for warming the kidney and fortifying the spleen and patients in the control group(group B)took a placebo,Chao Maiya,for 4 weeks.28 days after withdrawal,there was a 6-month follow-up to observe patient recurrence condition.The total effective rate,curative effect,and recurrence rate were evaluated after treatment.RESULTS:There was statistical difference(P<0.01)between the two groups in total effective rate(92.24%in the treatment group and 49.07%in the control group),in curative effect of TCM syndrome(90.52%and 47.22%,respectively),and in the recurrence rate(15.79%and 56.86%,respectively)within6 months after treatment.CONCLUSION:Modified Sishen Wan,for warming the kidney and fortifying the spleen,can effectively treat IBS-D and better control its recurrence. | Xiaolan Su Yanping Tang Jing Zhang Yuebin Dong Wei Wei Yibing Bai Yong Liu | 2013 | Journal of Traditional Chinese Medicine2013，33，5： | 22 |
| 2 | Lipid-dependent conformational dynamics underlie the functional versatility of T-cell receptor显示文摘T 房间 receptor-CD3 建筑群(TCR ) 是能基于 CD3 细胞质的领域的各种各样的生物化学的变化开始抗原特定的有免疫力的回答的一台万用的发信号机器,但是内在的结构的基础留下逃犯。这里,我们开发了生物物理的途径学习 CD3 细胞质的领域的 conformational 动力学(CD3 CD ) 。在单个分子的水平,我们发现那 CD3 CD 能与三个功能的主题的不同坦诚有多重 conformational 状态,即, ITAM, BRS 和 PRS。因为,这些符合构造被产生 CD3 CD 有异构的类脂化合物绑定性质因此有异构的动力学。实时房间的成像实验证明不同抗原刺激能稳定 CD3 在不同符合构造的 CD 。类脂化合物依赖者 conformational 动力学因此为 TCR 的万用的发信号性质提供结构的基础。 | Xingdong Guo Chengsong Yan Hua Li Wenmao Huan Xiaoshan Shi Min Huang Yingfang Wang Weiling Pan Mingjun Cai Lunyi Li Wei Wu Yibing Bai Chi Zhang Zhijun Liu Xinyan Wang Xiaohui F Zhang Chun Tang Hongda Wang Wanli Liu Bo Ouyang Catherine C Wong Yi Cao Chenqi Xu | 2017 | Cell Research2017，27，4： | 5 |
| 3 | Transcriptome sequencing analysis for the identification of stable lncRNAs associated with bovine Staphylococcus aureus mastitis显示文摘Background:Staphylococcus aureus(S.aureus)mastitis is one of the most difficult diseases to treat in lactating dairy cows worldwide.S.aureus with different lineages leads to different host immune responses.Long non-coding RNAs(lncRNAs)are reported to be widely involved in the progress of inflammation.However,no research has identified stable lncRNAs among different S.aureus strain infections.In addition,folic acid(FA)can effectively reduce inflammation,and whether the inflammatory response caused by S.aureus can be reduced by FA remains to be explored.Methods:lncRNA transcripts were identified from Holstein mammary gland tissues infected with different concentrations of S.aureus(in vivo)and mammary alveolar cells(Mac-T cells,in vitro)challenged with different S.aureus strains.Differentially expressed(DE)lncRNAs were evaluated,and stable DE lncRNAs were identified in vivo and in vitro.On the basis of the gene sequence conservation and function conservation across species,key lncRNAs with the function of potentially immune regulation were retained for further analysis.The function of FA on inflammation induced by S.aureus challenge was also investigated.Then,the association analysis between these keys lncRNA transcripts and hematological parameters(HPs)was carried out.Lastly,the knockdown and overexpression of the important lncRNA were performed to validate the gene function on the regulation of cell immune response.Results:Linear regression analysis showed a significant correlation between the expression levels of lncRNA shared by mammary tissue and Mac-T cells(P<0.001,R^(2)=0.3517).lncRNAs PRANCR and TNK2-AS1 could be regarded as stable markers associated with bovine S.aureus mastitis.Several HPs could be influenced by SNPs around lncRNAs PRANCR and TNK2-AS1.The results of gene function validation showed PRANCR regulates the mRNA expression of SELPLG and ITGB2 within the S.aureus infection pathway and the Mac-T cells apoptosis.In addition,FA regulated the expression change of DE lncRNA involved in toxin metabolism and inflammation to fight against S.aureus infection.Conclusions:The remarkable association between SNPs around these two lncRNAs and partial HP indicates the potentially important role of PRANCR and TNK2-AS1 in immune regulation.Stable DE lncRNAs PRANCR and TNK2-AS1 can be regarded as potential targets for the prevention of bovine S.aureus mastitis.FA supplementation can reduce the negative effect of S.aureus challenge by regulating the expression of lncRNAs. | Siyuan Mi Yongjie Tang Gerile Dari Yuanjun Shi Jinning Zhang Hailiang Zhang Xueqin Liu Yibing Liu Usman Tahir Ying Yu | 2022 | Journal of Animal Science and Biotechnology2022，13，2： | 2 |
| 4 | Analog Circuit Fault Diagnosis Using AdaBoost and SVM 显示文摘 | Jingyuan Tang Yibing Shi Longfu Zhou | 2008 | International Conference on Communications Circuits and Systems Fujian China2008，2008，： | 1 |
| 5 | Voice conversion based on Gaussian process by coherent and asymmetric training with limited training data显示文摘 | Xu Ning Tang Yibing Bao Jingyi | 2014 | Speech Communication2014，58，： | 1 |
| 6 | Using DGT to Assess Cadmium Bioavailability to Ryegrass as Influenced by Soil Properties显示文摘A generally accepted method for predicting the bioavailability and transfer of cadmium(Cd) from soil to plants has not yet been established. In this study, the diffusive gradients in thin films(DGT) and conventional extraction methods for metal fractions were used to investigate how effective these methods were at predicting Cd bioavailability to ryegrass(Lolium perenne) and to assess whether these holistic variables were independent of the soil property variables. The influences of soil properties on the predictive capabilities of the different methods were evaluated using multivariate statistics. The Cd concentrations in the shoots and roots of ryegrass correlated more closely with the effective Cd concentration measured by DGT(CE), compared with those with soil total Cd, pore water Cd, and ethylenediaminetetraacetic acid disodium salt(Na2EDTA)- and acetic acid(HOAc)-extractable Cd. When soil properties were included in a stepwise multiple linear regression, Cd transfer to L. perenne was negatively influenced by p H and positively influenced by organic matter(OM). The multivariate statistics showed that the adjusted correlation coefficients for the plots involving soil total Cd, pore water Cd, and Na2EDTA- and HOAc-extractable Cd had been significantly improved after considering the influences of soil properties, which suggested that these methods were p H and OM dependent. For CE, the relationship was p H independent or only dependent in strongly acidic soils. These results suggested that the main soil factors affecting bioavailability had the lowest impact on the DGT technique. Therefore, the DGT technique provided significant advantages over conventional methods when assessing Cd bioavailability. | SONG Ningning WANG Fangli MA Yibing TANG Shirong | 2015 | Pedosphere2015，25，6： | 1 |
| 7 | Phospholus Efficiency in Long-Term (15 Years) Wheat- Maize Cropping Systems with Various Soil and Climat Conditions 显示文摘 | XU TANG JUMEI LI YIBING MA | 2008 | Field Crops Research2008，，108： | 1 |
| 8 | A Selection Strategy of Test Node in Analogy Circuit with Sensitivity显示文摘 | Longfu Zhou Yonghe Hu Ming Zhao Yibing Shi Yi Sun Hong Tang Shuo Li | 2011 | 通讯和计算机(中英文版)2011，8，10： | 1 |
| 9 | Modulation recognition network of multi-scale analysis with deep threshold noise elimination显示文摘To improve the accuracy of modulated signal recognition in variable environments and reduce the impact of factors such as lack of prior knowledge on recognition results,researchers have gradually adopted deep learning techniques to replace traditional modulated signal processing techniques.To address the problem of low recognition accuracy of the modulated signal at low signal-to-noise ratios,we have designed a novel modulation recognition network of multi-scale analysis with deep threshold noise elimination to recognize the actually collected modulated signals under a symmetric cross-entropy function of label smoothing.The network consists of a denoising encoder with deep adaptive threshold learning and a decoder with multi-scale feature fusion.The two modules are skip-connected to work together to improve the robustness of the overall network.Experimental results show that this method has better recognition accuracy at low signal-to-noise ratios than previous methods.The network demonstrates a flexible self-learning capability for different noise thresholds and the effectiveness of the designed feature fusion module in multi-scale feature acquisition for various modulation types. | Xiang LI Yibing LI Chunrui TANG Yingsong LI | 2023 | Frontiers of Information Technology & Electronic Engineering2023，24，5： | 0 |
| 10 | Voice conversion towards modeling dynamic characteristics using switching state space model显示文摘In the literature of voice conversion(VC),the method based on statistical Gaussian mixture model(GMM)serves as a benchmark.However,one of the inherent drawbacks of GMM is well-known as discontinuity problem,which is caused by transforming features on a frame-by-frame basis,thus ignoring the dynamics between adjacent frames and fnally resulting in degraded quality of the converted speech.A variety of algorithms have been proposed to overcome this defciency,among which the state space model(SSM)based method provides some promising results.In this paper,we proceed by presenting an enhanced version of the traditional SSM,namely,the switching SSM(SSSM).This new structure is more flexible than the conventional one in that it allows using mixture of components to account for the rapid transitions between neighboring frames.Moreover,physical meaning of the model parameters of SSSM has been examined in depth,leading to efcient application-specifc training and transforming procedures of VC.Experiments including both objective and subjective measurements were conducted to compare the performances of the conventional and the proposed SSM-based methods,which have convinced that obvious improvements in both aspects of similarity and quality can be obtained by SSSM. | XU Ning BAO JingYi LIU XiaoFeng JIANG AiMing TANG YiBing | 2013 | Science China(Information Sciences)2013，56，12： | 0 |
| 11 | Long-range ordered porous carbon:A new carbon constructed by connecting C_(60)cages显示文摘Carbon is a versatile element in the Periodic Table and can bind itself to many polymorphs through various bonding forms(e.g.,sp,sp2,and sp3 hybridizations)[1].Based on structural periodicity,carbon materials can be classified into crystalline or amorphous[2].For example,graphene,diamond and graphite are well-known crystalline carbon materials with different periodic binding motifs in the carbon atom networks[3‒5].By contrast,the active carbons featured with high porosity are the typical amorphous carbons in which the carbon atoms are arranged in a disordered fashion[6]. | Yibing Yang Meiling Tang Zhenyu Zhang Shaozhuan Huang Shuilin Wu | 2023 | Nano Research Energy2023，2，2： | 0 |
| 12 | Soft-Fault Diagnosis of Analog Circuit with Tolerance Using Mathematical Programming显示文摘 | Longfu Zhou Yibing Shi Guang Zhao Wei Zhang Hong Tang Lijuan Su | 2010 | 通讯和计算机(中英文版)2010，7，5： | 0 |
| 13 | Weight Analysis of Impact Factors of Interbedded Anti-Inclined Slopes Block-Flexure Toppling Based on Support Vector Regression显示文摘Block-flexure toppling failure is frequently encountered in interbedded anti-inclined rock(IAR)slopes,and seriously threatens the construction of hydropower infrastructure.In this study,we first investigated the Lean Reservoir area’s geological setting and the Linda landslide’s characteristics.Then,uniform design and random design were used to design 110 training datasets and 31 testing datasets,respectively.Afterwards,the toppling response was obtained by using the discrete element code.Finally,support vector regression was used to obtain the influence weights of 21 impact factors.The results show that the influence weight of the slope angle and rock formation dip angle on the toppling deformation among tertiary impact factors is 25.96%and 17.28%,respectively,which are much greater than the other 19 impact factors within the research range.For the primary impact factors,the influence weight is sorted from large to small as slope geometry parameters,joints parameters,and rock mechanics parameters.Joints parameters,especially the geometric parameters,cannot be ignored when evaluating the stability of IAR slopes.Through numerical simulation,it was qualitatively determined that failure surfaces of slopes were controlled by cross joints and that the rocks in the slope toe play a role in preventing slope deformation. | Bocheng Zhang Huiming Tang Yibing Ning Kun Fang Ding Xia | 2024 | Journal of Earth Science2024，35，2： | 0 |
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