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The Jian Pi Qu Shi Formula (JPQSF) shows promise in treating IMN. Here, we sequenced 16S rRNA genes to compare intestinal flora between patients with IMN and healthy persons. ... Table 1 1 Components of Jian Pi Qu Shi Formula. ... Treatment with TCM significantly and safely reduced severe side effects. 7 Jian Pi Qu Shi Formula (JPQSF) was developed to treat IMN at Xiyuan Hospital, which is affiliated with the China Academy of ...doi:10.1016/j.cdtm.2020.04.004 pmid:32596649 pmcid:PMC7305454 fatcat:kaigv4mnivhpfabvai37mrvati
We evaluated the efficacy and safety of the traditional Chinese medicine Jian Pi Qu Shi Formula (JPQSF) as a promising regimen. Methods. ... Jian Pi Qu Shi Formula (JPQSF) has been developed for the treatment of iMN in Xiyuan Hospital, affiliated with China Academy of Chinese Medical Science. ...doi:10.1155/2018/5854710 pmid:30344612 pmcid:PMC6174769 fatcat:dj3ss4i5wjefrosulejngm4j6m
Epigallocatechin gallate (EGCG) has attracted significant research interest due to its health-promoting effects such as antioxidation, anti-inflammation and anti-cancer activities. However, its instability and poor bioavailability have largely limited its efficacy and application. Food-grade materials such as proteins, carbohydrates and lipids show biodegradability, biocompatibility and biofunctionality properties. Food-grade encapsulation systems are usually used to improve the bioavailabilitydoi:10.3390/molecules23020445 pmid:29462972 fatcat:gpglyal4unfu3mqdlivwrminku
more »... of EGCG. In the present paper, we provide an overview of materials and techniques used in encapsulating EGCG, in which the adsorption mechanisms of food-grade systems during in vitro digestion are reviewed. Moreover, the potential challenges and future work using food-grade encapsulates for delivering EGCG are also discussed. Molecules 2018, 23, 445 2 of 17 encapsulates for protecting EGCG. Furthermore, some challenges and future research directions are also discussed in this review. EGCG in Tea EGCG is a key family member of catechins originating from tea. The content of EGCG is the highest among the catechins in green tea leaves. Structurally, EGCG is comprised of two aromatic rings conjugated by a three-carbon bridge, namely a C6-C3-C6 structure, with hydroxyl groups at carbons 3', 4', 5' of the B ring and a gallate moiety esterifying carbon three of the C ring [14, 15] (Figure 1 ). EGCG is rich in phenolic hydroxyl groups, which lead it possess health-beneficial activities. A number of in vivo and in vitro studies have been performed to show that EGCG has beneficial anti-oxidative, anti-inflammatory and anticarcinogenic properties       . Molecules 2018, 23, x 2 of 17 developing encapsulates for protecting EGCG. Furthermore, some challenges and future research directions are also discussed in this review. EGCG in Tea EGCG is a key family member of catechins originating from tea. The content of EGCG is the highest among the catechins in green tea leaves. Structurally, EGCG is comprised of two aromatic rings conjugated by a three-carbon bridge, namely a C6-C3-C6 structure, with hydroxyl groups at carbons 3', 4', 5' of the B ring and a gallate moiety esterifying carbon three of the C ring [14, 15] (Figure 1 ). EGCG is rich in phenolic hydroxyl groups, which lead it possess health-beneficial activities. A number of in vivo and in vitro studies have been performed to show that EGCG has beneficial antioxidative, anti-inflammatory and anticarcinogenic properties       . Program of Higher Education of China (SRFDP No.20110101110094). We wish to express our sincerest thanks to Curt A.P. for his kind English revision and grammar corrections.
A new phenolic derivative, 4-hydroxyphenol-1-O-[6-O-(E)-feruloyl-β-d-glucopyranosyl]-(1→6)-β-d-glucopyranoside (1), and a new terpenylated coumarin, named altissimacoumarin H (2) were identified from the fruit of Ailanthus altissima (Mill.) Swingle (Simaroubaceae), together with ten known compounds (3–12), including two coumarins and eight phenylpropanoids. Their structures were determined on the basis of chemical method and spectroscopic data. Antiviral effect against Tobacco mosaic virusdoi:10.6084/m9.figshare.5878129.v1 fatcat:yvq2ylrvlrgv5bhtj3vc5xjqoq
more »... of all the compounds obtained were evaluated using leaf-disc method.
When there is boundary, Singer and Wu  and independently Shi and Sun  have shown that the spectra of the graph Laplacian converge to that of manifold Laplacian with Neumann boundary. ...arXiv:1509.06458v1 fatcat:wo3neoodojfebnzzew555wb4ze
h i g h l i g h t s • Kernel competitive learning (KCL) cannot be applied in large scale data problem. • Propose a projection based approximate KCL method for large scale data problem. • Provide theoretical analysis on why the approximation modelling would work for KCL. • A pseudo-parallelled approximate computation framework for large scale KCL is developed. • Experimentally show the effectiveness and efficiency of the proposals. a b s t r a c t Kernel competitive learning has beendoi:10.1016/j.neunet.2014.11.003 pmid:25528318 fatcat:2aj6slfuwfcgfghr5r7mcxcoya
more »... used to achieve robust clustering. However, kernel competitive learning (KCL) is not scalable for large scale data processing, because (1) it has to calculate and store the full kernel matrix that is too large to be calculated and kept in the memory and (2) it cannot be computed in parallel. In this paper we develop a framework of approximate kernel competitive learning for processing large scale dataset. The proposed framework consists of two parts. First, it derives an approximate kernel competitive learning (AKCL), which learns kernel competitive learning in a subspace via sampling. We provide solid theoretical analysis on why the proposed approximation modelling would work for kernel competitive learning, and furthermore, we show that the computational complexity of AKCL is largely reduced. Second, we propose a pseudo-parallelled approximate kernel competitive learning (PAKCL) based on a set-based kernel competitive learning strategy, which overcomes the obstacle of using parallel programming in kernel competitive learning and significantly accelerates the approximate kernel competitive learning for large scale clustering. The empirical evaluation on publicly available datasets shows that the proposed AKCL and PAKCL can perform comparably as KCL, with a large reduction on computational cost. Also, the proposed methods achieve more effective clustering performance in terms of clustering precision against related approximate clustering approaches.
Volasertib (BI 6727), a highly selective and potent inhibitor of PLK1, has shown broad antitumor activities in the preclinical and clinical studies for the treatment of several types of cancers. However, the anticancer effect of volasertib on cervical cancer cells is still unknown. In the present study, we show that volasertib can markedly induce cell growth inhibition, cell cycle arrest at G2/M phase and apoptosis with the decreased protein expressions of PLK1 substrates survivin and wee1 inpmid:26885445 pmcid:PMC4731630 fatcat:sszpyrrisvhanlhqvkgktpiu5i
more »... man cervical cancer cells. Furthermore, volasertib also enhances the intracellular reactive oxidative species (ROS) levels, and pretreated with ROS scavenger N-acety-L-cysteine totally blocks ROS generation but partly reverses volasertib-induced apoptosis. In addition, volasertib significantly potentiates the activity of cisplatin to inhibit the growth of cervical cancer in vitro and in vivo. In brief, volasertib suppresses tumor growth and potentiates the activity of cisplatin in cervical cancer, suggesting the combination of volasertib and cisplatin may be a promising strategy for the treatment of patients with cervical cancer.
Yi Xiao-Jian 1,2 *, Shi Jian 3,4 and Hou Peng 2 *Address all correspondence to: firstname.lastname@example.org 1 Department of Overall Technology, China North Vehicle Research Institute, China 2 School of Mechatronical ...doi:10.5772/intechopen.69610 fatcat:cjnusucf3fd37mnut2lwrxehq4
The uncertainty of the engineering system increases with its complexity, therefore, the tolerance to the uncertainty becomes important. Even under large variations of design parameters, the system performance should achieve the design goal in the design phase. Therefore, engineers are interested in how to turn a bad design into a good one with the least effort in the presence of uncertainty. To improve a bad design, we classify design parameters into key parameters and non-key parameters baseddoi:10.3390/math9111173 fatcat:hk52nb76bnga3jrj5oebhs4t4i
more »... n engineering knowledge, and then seek the maximum solution hyper-box which already includes non-key parameters of this bad design. The solution hyper-box on which all design points are good, that is, they achieve the design goal, provides target intervals for each parameter. The bad design can be turned into a good one by only moving its key parameters into their target intervals. In this paper, the PSO-Divide-Best method is proposed to seek the maximum solution hyper-box which is in compliance with the constraints. This proposed approach has a considerably high possibility to find the globally maximum solution hyper-box that satisfies the constraints and can be used in complex systems with black-box performance functions. Finally, case studies show that the proposed approach outperforms the EPCP and IA-CES methods in the literature.
Jian, W. is supported in part by China Scholarship Council. Shi, Y. is supported in part by NSFC No.11331001 and the Hwa Ying Foundation at Nanjing University. ... The condition (2.2) is further strengthened and generalized by Li-Shi-Yao  by making use of the α-invariant. Let us recall Tian's α-invariant introduced in  . ...arXiv:1805.06863v1 fatcat:dmpdtu3na5f6hltiufj3crpzu4
The correction of closed orbit has great influence on the operation of synchrotron. The design of correction system is one significant component of lattice design. It is suggested to set BPMs at the peaks of betatron oscillation. The correctors need to be located at the positions where e̱ṯa̱ function is large or the sources of large errors. In the simulation of the closed orbit correction of HIMM synchrotron, one important reason affecting the result of horizontal correction is the longitudinalarXiv:1502.01415v1 fatcat:xaqkxtf7aba3bnckfyial34mcy
more »... alignment error of dipole magnet. It is advisable to decrease this kind of alignment error while the deflection angle of dipole magnet is large.
Phytochemistry investigations on Ailanthus altissima (Mill.) Swingle, a Simaroubaceae plant that is recognized as a traditional herbal medicine, have afforded various natural products, among which C20 quassinoid is the most attractive for their significant and diverse pharmacological and biological activities. Our continuous study has led to the isolation of two novel quassinoid glycosides, named chuglycosides J and K, together with fourteen known lignans from the samara of A. altissima. Thedoi:10.3390/molecules25235679 pmid:33276431 fatcat:pkqbhe5y2bbslk4mgmvhede7pm
more »... structures were elucidated based on comprehensive spectra data analysis. All of the compounds were evaluated for their anti-tobacco mosaic virus activity, among which chuglycosides J and K exhibited inhibitory effects against the virus multiplication with half maximal inhibitory concentration (IC50) values of 56.21 ± 1.86 and 137.74 ± 3.57 μM, respectively.
Four novel compounds-two phenylpropionamides, one piperidine, and one phenolic derivatives-were isolated and identified from the fruit of a medicinal plant, Ailanthus altissima (Mill.) Swingle (Simaroubaceae), together with one known phenylpropionamide, 13 known phenols, and 10 flavonoids. The structures of the new compounds were elucidated as 2-hydroxy-N- (2) , 2β-carboxyl-piperidine-4β-acetic acid methyl ester (4), anddoi:10.3390/molecules22122107 pmid:29207525 fatcat:wh7z5p5ayvabxcurj2hcia7kcy
more »... opyranoside (5) based on spectroscopic analysis. All the isolated compounds were evaluated for their inhibitory activity against Tobacco mosaic virus (TMV) using the leaf-disc method. Among the compounds isolated, arbutin (6), β-D-glucopyranosyl-(1→6)-arbutin (7), 4-methoxyphenylacetic acid (10), and corilagin (18) showed moderate inhibition against TMV with IC 50 values of 0.49, 0.51, 0.27, and 0.45 mM, respectively. Chromatographic purification of the n-BuOH-soluble fraction from MeOH extract of the dried A. altissima fruit afforded 28 compounds, including four new ones (1, 2, 4, and 5, Figure 1 ). Molecules 2017, 22, 2107 2 of 12 Results Extraction, Isolation, and Sructure Elucidation Chromatographic purification of the n-BuOH-soluble fraction from MeOH extract of the dried A. altissima fruit afforded 28 compounds, including four new ones (1, 2, 4, and 5, Figure 1 ). Figure 1. Chemical structures of 1-28. Compound 1 was isolated as a white amorphous powder. It was assigned with a molecular formula of C15H21NO8 by an HR-ESI-MS (high resolution electrospray ionization mass spectrometry) ion peak at m/z = 366.1185 [M + Na] + (Calcd. for C15H21NO8Na, 366.1159). The IR spectrum (Supplementary Materials) exhibited absorption bands due to the presence of hydroxyl, amide, and phenyl groups (3478, 3388, 1674, 1603, 1534, and 1456 cm −1 ). The 1 H-NMR (Table 1) and HSQC (heteronuclear single quantum coherence) spectrum of 1 indicated the presence of a 1,2-disubstituted benzene ring [δH 8.23 (1H, dd, J = 7.4, 2.3 Hz), 7.20 (1H, dd, J = 7.5, 2.0 Hz), 7.05 (1H, td, J = 7.5, 2.0 Hz), and 7.02 (1H, td, J = 7.5, 1.7 Hz)], an oxygenated methine [4.15 (1H, qd, J = 6.8, 5.1 Hz)], a methyl [δH 1.33 (3H, d, J = 6.8 Hz)], an amide proton [δH 9.42 (1H, s)], and a glucopyranosyl moiety [δH 4.85 (1H, d, J = 7.5 Hz), 3.69 (1H, ddd, J = 11.8, 5.4, 2.2 Hz), 3.49 (1H, dt, J = 11.8, 5.9 Hz), 3.27-3.32 (3H, overlap), and 3.18 (1H, td, J = 9.2, 5.4 Hz)]. Its 13 C-NMR (Table 1) and DEPT (distortionless enhancement by polarization transfer) spectra showed 15 carbon resonances, including one methyl, one methylene, 10 methines, and three quaternary carbons (including one carbonyl). The HMBC (heteronuclear multiple bond correlation) correlations ( Figure 2 ) observed from the amide proton to C-1 (δC 173.
The phytohormone salicylic acid (SA) affects plant development and defense responses. Recent studies revealed that SA is also involved in the regulation of sphingolipid metabolism, but the details of this regulation remain to be explored. Here, we use in silico Flux Balance Analysis (FBA) with published microarray data to construct a whole-cell simulation model, including 23 pathways, 259 reactions and 172 metabolites, to predict the alterations in flux of major sphingolipid species afterdoi:10.1101/011676 fatcat:xgpxjhjdhvh45oy4kuwu26xyhe
more »... ent with exogenous SA. This model predicts significant changes in fluxes of certain sphingolipid species after SA treatment, changes that likely trigger downstream physiological and phenotypic effects. To validate the simulation, we used isotopic non-stationary metabolic flux analysis to measure sphingolipid contents and turnover rate in Arabidopsis thaliana seedlings treated with SA or the SA analog benzothiadiazole (BTH). The results show that both SA and BTH affect sphingolipid metabolism by not only concentration of certain species, but also the optimal flux distribution and turnover rate of sphingolipid contents. Our strategy allows us to formally estimate sphingolipid fluxes on a short time scale and gives us a systemic view of the effect of SA on sphingolipid homeostasis.
In this paper, we introduce the concept of sparse bilinear logistic regression for decision problems involving explanatory variables that are two-dimensional matrices. Such problems are common in computer vision, brain-computer interfaces, style/content factorization, and parallel factor analysis. The underlying optimization problem is bi-convex; we study its solution and develop an efficient algorithm based on block coordinate descent. We provide a theoretical guarantee for global convergencearXiv:1404.4104v1 fatcat:6g3kec5virfwziae6dxw7qdemi
more »... nd estimate the asymptotical convergence rate using the Kurdyka-Łojasiewicz inequality. A range of experiments with simulated and real data demonstrate that sparse bilinear logistic regression outperforms current techniques in several important applications.
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