1,404 research outputs found
Bis{1-[(1H-benzotriazol-1-yl)methÂyl]-2-methyl-1H-imdazole-κN 3}dichloridoÂzinc
In the mononuclear title compound, [ZnCl2(C11H11N5)2], the ZnII atom is coordinated by two Cl atoms and two imidazole N atoms in a distorted tetraÂhedral geometry. Adjacent complex molÂecules are stacked through aromatic π–π interÂactions; the closest distance between adjacent aromatic rings is 3.598 (2) Å
Transport of pore-water oxygen with/without aeration in subsurface wastewater infiltration system
In this study, three subsurface wastewater infiltration systems (SWISs) at different aeration were set up to study the transport of pore-water oxygen and quantify the amount of trapped gas. Bromide and dissolved oxygen were introduced into SWISs as partitioning tracer and non-partitioning tracer, respectively. A model named CXTFIT based on the convection diffusion equation was used to describe the shape of breakthrough curves for bromide and dissolved air in column experiments. In CXTFIT code, the parameter β obtained from the bromide test ranging from 0.2940 to 0.7600 indicates that the physical nonequilibrium model was relatively suitable for dissolved air transport. Retardation factors obtained by CXTFIT code indicate 2–20% porosity filled with gas. Tracing the transport of air and determining the percentage of porosity filled with trapped gas has lain a foundation for further study on gas clogging in SWISs. Keywords: gas-partitioning tracer, convection diffusion equation, subsurface wastewater infiltration system, dissolved air transport, gas cloggin
Renormalized solutions of a nonlinear parabolic equation with double degeneracy
In this paper, we consider the initial-boundary value problem of a nonlinear parabolic equation with double degeneracy, and establish the existence and uniqueness theorems of renormalized solutions which are stronger than solutions
Antifibrotic effects of crocetin in scleroderma fibroblasts and in bleomycin-induced sclerotic mice
OBJECTIVE: To investigate the antifibrotic effects of crocetin in scleroderma fibroblasts and in sclerotic mice. METHODS: Skin fibroblasts that were isolated from three systemic scleroderma (SSc) patients and three healthy subjects were treated with crocetin (0.1, 1 or 10 μM). Cell proliferation was measured with an MTT assay. Alpha-smooth muscle actin was detected via an immunohistochemical method. Alpha 1 (I) procollagen (COL1A1), alpha 1 (III) procollagen (COL3A1), matrix metalloproteinase (MMP)-1 and tissue inhibitor of matrix metalloproteinase (TIMP)-1 mRNA levels were measured using real-time PCR. SSc mice were established by the subcutaneous injection of bleomycin. Crocetin (50 mg/kg/d) was injected intraperitoneally for 14 days. Dermal thickness and lung fibrosis were assessed with Masson's trichrome staining. Plasma ET-1 was detected with an enzyme-linked immunosorbent assay (ELISA). Skin and lung ET-1 and COL1A1 mRNA levels were measured via real-time PCR. RESULTS: Crocetin inhibited the proliferation of SSc and normal fibroblasts, an effect that increased with crocetin concentration and incubation time. Crocetin decreased the expression of α-SMA and the levels of mRNA for COL1A1, COL3A1 and matrix metalloproteinase-1, while crocetin increased TIMP-1 mRNA levels in both SSc and normal fibroblasts. Skin and lung fibrosis was induced, and the levels of ET-1 in the plasma, skin and lungs were elevated in bleomycin-injected mice. Crocetin alleviated the thickening of the dermis and lung fibrosis; decreased COL1A1 mRNA levels in the skin and lung; and simultaneously decreased ET-1 concentrations in the plasma and ET-1 mRNA levels in the skin and lungs of the bleomycin-induced sclerotic mice, especially during the early phase (weeks 1-3). CONCLUSION: Crocetin inhibits cell proliferation, differentiation and collagen production in SSc fibroblasts. Crocetin alleviates skin and lung fibrosis in a bleomycin-induced SSc mouse model, in part due to a reduction in ET-1
Prediction of drug classes based on gene expression data
Nowadays, the financial investments in pharmaceutical research and development are an enormous increase. Drug safety is very important to health and drug development. Finding new uses for the approved drug has become important for the pharma industry. Drug classification accuracy helps identify useful information for studying drugs, also helps in accurate diagnosis of drugs. Gene expression data makes a possible study of biological problems and machine learning methods are playing an essential role in the analysis process. Meanwhile, many machine learning methods have been applied to classification, clustering, dynamic modeling areas of gene expression analysis.
This thesis work is using R programming language and SVM machine learning method to predict the ATC class of drugs based on the gene expression data to see how well the gene expression patterns correlate after treatment within the therapeutic/pharmacological subgroup. A dimensionality reduction method will use to reduces the dimensions of the dataset that improves the classification performance. The classifiers built using SVM machine learning technique in this thesis study had limited with detecting drug groups based on the ATC system
Time periodic solutions for a viscous diffusion equation with nonlinear periodic sources
In this paper, we prove the existence of nontrivial nonnegative classical time periodic solutions to the viscous diffusion equation with strongly nonlinear periodic sources. Moreover, we also discuss the asymptotic behavior of solutions as the viscous coefficient tends to zero
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