A new method for the determination of norepinephrine(NE)was established with the disposable screen printed electrode(SPE)modified with the multiwalled carbon nanotubes and ZnO nanocomposites(MWNTs-ZnO)using screen printing technology.A sensitive response to NE was obtained on the MWNTs-ZnO SPE at the potentail of 0.28 V.Square wave voltammetric(SWV)response of NE showed that the oxidation peak current of NE at MWNTs-ZnO SPE was linear with its concentration in the range of 0.75-50 μmol/L.The linear regression range was 0.75-50 μmol/L(r2=0.999 3),and the detection limit(S/N=3)was 0.3 μmol/L.This method was simple,rapid and sensitive,and could be used to monitor NE in a large batch of clinical samples.
Similarity for spatial directions plays an important role in GIS. In this paper, the conventional approaches are analyzed. Based on raster data areal objects, the authors propose two new methods for measuring similarity among spatial directions. One is to measure the similarity among spatial directions based on the features of raster data and the changes of distances between spatial objects, the other is to measure the similarity among spatial directions according to the variation of each raster cell centroid angle. The two methods overcome the complexity of measuring similarity among spatial directions with direction matrix model and solve the limitation of small changes in direction. The two methods are simple and have broader applicability.
Preserving important textures of the content image and achieving prominent style transfer results remains a challenge in the field of image style transfer. This challenge arises from the entanglement between color and texture during the style transfer process. To address this challenge, we propose an end-to-end network that incorporates adaptive weighted least squares (AWLS) filter, iterative least squares (ILS) filter, and channel separation. Given a content image ( $\mathcal {C}$ ) and a reference style image ( $\mathcal {S}$ ), we begin by separating the RGB channels and utilizing ILS filter to decompose them into structure and texture layers. We then perform style transfer on the structural layers using WCT $^{2}$ (incorporating wavelet pooling and unpooling techniques for whitening and coloring transforms) in the R, G, and B channels, respectively. We address the texture distortion caused by WCT $^{2}$ with a texture enhancing (TE) module in the structural layer. Furthermore, we propose an estimating and compensating for the structure loss (ECSL) module. In the ECSL module, with the AWLS filter and the ILS filter, we estimate the texture loss caused by TE, convert the loss of the structural layer to the loss of the texture layer, and compensate for the loss in the texture layer. The final structural layer and the texture layer are merged into the channel style transfer results in the separated R, G, and B channels into the final style transfer result. Thereby, this enables a more complete texture preservation and a significant style transfer process. To evaluate our method, we utilize quantitative experiments using various metrics, including NIQE, AG, SSIM, PSNR, and a user study. The experimental results demonstrate the superiority of our approach over the previous state-of-the-art methods.
Using Pyrogallol auto-oxidation method, Fenton reaction method and Oil oxidated method, influences of some kind of metal ions on anti-oxidant activities of Chrysanthemum tea are studied for developing the Chrysanthemum drinks. The result shows that the Chrysanthemum tea containing Al3+,Cu2+, Zn2+ or Ca2+ has higher superoxide radical-eliminating ability than that without the mentioned metal ions. However, addition of Fe3+ might decrease the superoxide radical-eliminating ability. The chrysanthemum tea containing these ions also showed higher scavenging capability to hydroxyl radicals. Except for Fe3+-containing tea, the tea containing the other ions showed high antioxidant activities. It was concluded metal ions could enhance anti-oxidant activities of Chrysanthemum tea.
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