7 resultados para Evaluation systems

em Chinese Academy of Sciences Institutional Repositories Grid Portal


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近年来,随着黑素细胞生物学的发展和对美白剂功效研究的不断深入,美白剂对皮肤正常生理潜在的负面影响正逐渐为人们所重视 ,仅仅通过临床皮肤敏感试验已远不能给以科学的解释,因而建立一个科学量化的美白剂评价体系就显得尤为迫切和必要。本文工 作旨在将体外黑素细胞原代培养与黑素生成相关的生化指标(包括:黑度,细胞量,铬氨酸酶TYR,多巴色素异构酶DT酶活的), 检测相结合,并联系细胞学观察,从而形成一整套相对完善,定性定量的研究美白剂功效的评价体系。通过测定外加a-MSH,内皮素 ET-1及其拮抗剂GD2168后黑素细胞内上述生化指标的变化,不仅验证了a-MSH,内皮素ET-1的促黑作用,内皮素拮抗剂GD2168的美 白功效,而且还体现出本评价体系不同于国内现有的其它美白评价体系的独特优势。首先,本评价体系在国内为首家将原代培养的 黑素细胞用于美白评价,由于原代培养环境与体内皮肤生理环境的相似性,在体外对10-8mol/La-MSH产生了正常的应答,所以在评 价美白剂的功效时该培养体较之将黑素细胞孤立生长的纯化培养体系更为科学也更具有说服力。尤其值得一提的是,国内现有的生 化水平的美白评价多局限于对TYR活力的测定,而本体系的另一特点就是除了TYR外还增加了对TRP-2即DT酶活的测定,由于DT在维 持正常黑素细胞及皮肤生理上的重要意义,对其变化的研究往往可揭示出美白剂对皮肤的潜在毒性,本文通过测定并分析内皮素拮 抗剂GD2168对体外黑素细胞DT活力的下调作用,对其潜在的副作用进行了科学的预测,这项工作国内尚无人开展。Over the past few years, melanin cell research has experienced unprecedent impetus, which also contribute to the study on lightener's function especially it's potent skin damage. As a result, it's the high time to build a more accurate and complete evaluation system to investigate lightener's effects and by-effects as well. After normal human melanocytes were cultured primarily in vitro, the effects of a-MSH, endothelin-1(ET-1)and ET -1's antagonist GD2168 on melanogenesis were studied biochemically by measurement of melanin content, cell-number, tyrosinaseTYR activity and dopachrome tautomeraseDT activity. Compared with untreated cells, the treated cells responsed to 10-8mol/L a-MSH with the increase in all items. ET-1 induced both an increae in DT activity and melanin concent; however, the melanosynthesis increase was inhibited significantly in the present of GD2168. Trough above work, a new evaluation system of lightener has been established and confirmed to be feasible. Different from other evaluation systems present in country, this system used the primary culture, which was more consistent to the physiological circumstance. Moreover, the system added DT activity assay that help reveal the GD2168's potent side-effects, which would have been clouded or ignored if only TYR activity was assayed.

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Based on the analytical solution to the time-dependent Schrodinger equations, we evaluate the holonomic quantum computation beyond the adiabatic limit. Besides providing rigorous confirmation of the geometrical prediction of holonomies, the present dynamical resolution offers also a practical means to study the nonadiabaticity induced effects for the universal qubit operations.

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Using the Frohlich potential associated with realistic optical phonon modes in quantum well systems, the energy loss rates of hot electrons, holes, and electron-hole pairs are calculated, with special emphasis on the effects of carrier density, hot phonon population, quantum well width, and phonon dispersion on the hot-carrier relaxation process in quasi-two-dimensional systems. (C) 1998 Academic Press Limited.

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Formulas for decomposing of complex crystals to a sum of binary crystals are described and applied to the study of bond covalency in La1-xSrxFeO3 (0.0 less than or equal to x less than or equal to 0.9) and Ca1-xSrxMnO3 (0.0 less than or equal to x less than or equal to 0.5). The bond valence is treated by bond-valence sums scheme. The results indicate that, for both compounds, with the increasing doping level, the bond covalency and bond valence show the same trend, namely, larger bond covalency corresponds to higher bond valence. For La1-xSrxFeO3, with the increase of doping level, the bond covalency of La-O, Ca-O decreases in the orthorhombic (0.0 less than or equal to x less than or equal to 0.2) and rhombohedral (0.4 less than or equal to x less than or equal to 0.7) systems, then increases slightly for the cubic (0.8 less than or equal to x less than or equal to 0.9) system, but that of Fe-O increases for all crystal systems. A sharp decrease in bond covalency was observed where the crystal changes from orthorhombic to rhombohedral, while a smooth trend was seen for the rhombohedral-to-cubic transition. On the other hand, for orthorhombic Ca1-xSrxMnO3, the bond covalency of Ca-O, Sr-O, and Mn-O (4-coordinate site) decreases with the increasing doping level, that of Mn-O (2-coordinate site) increases.

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The extracts obtained from 28 species of marine algae were evaluated for their antioxidant activity (AA) versus the positive controls butylated hydroxytoluene (BHT), gallic acid (GA), and ascorbic acid (AscA). Most of the tested samples displayed antioxidant activity to various degrees. Among them, the extract of Symphyocladia latiuscula exhibited the strongest AA, which was comparable to BHT, GA, and AscA in radical scavenging activity, as shown in the DPPH (alpha,alpha-diphenyl-beta-picrylhydrazyl) assay, and higher than those of the positive controls in beta-carotene-linoleate assay system. In addition, the ethyl acetate-soluble fraction isolated from the crude extract of S. latiuscula exhibited the highest antioxidant activity in both assay systems. This fraction was further fractionated into seven subfractions (F1-F7) by vacuum liquid chromatography (VLC). F1 and F4 were found to be the most effective subfractions in scavenging DPPH radical assay and in the beta-carotene-linoleate assay, respectively. The total phenolic content (TPC) and reducing power (RP) for all of the extracts, fractions, and subfractions (F1-F7) were also determined. The TPC of the 28 extracts ranged from 0.10 to 8.00 gallic acid equivalents (mg/g seaweed dry weight) while the RP ranged from 0.07 to 11.60 ascorbic acid equivalents (mg center dot g(-1) seaweed dry weight). Highly positive relationships between AA and TPC as well as between AA and RP were found for the extracts and fractions, while for the subfractions F1-F7 only weak or no such relations were found. The results obtained from this study indicate that further analysis is needed of those marine algal species that contain the most antioxidant activity in order to identify the active principles.

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Antioxidant activity (AA), total phenolic content, and reducing power of the crude extract, fractions, and subfractions derived from a red alga, Polysiphonia urceolata, were evaluated and determined. The antioxidative activity was measured using the alpha,alpha-diphenyl-beta-pierylhydrazyl (DPPH) radical scavenging assay and the P-carotene-linoleate assay systems, and compared with that of butylated hydroxytoluene (BHT), gallic acid (GA), and ascorbic acid (AscA). The results showed that the crude extract and the ethyl acetate-soluble fraction exhibited higher AA than BHT in the DPPH assay model, at all of four concentration levels tested (from 0.4 to 50 mu g/ml), while, in the beta-carotene-linoleate assay system, the crude extract and the ethyl acetate-soluble fraction exhibited similar or, in most cases, higher AA than GA and AscA at the same concentrations (from 10 to 200 mu g/ml). The ethyl acetate-soluble fraction was further fractionated into seven subfractions F1-F7 by silica gel vacuum liquid chromatography. F1 was found to be the most effective subfraction in both assay systems. The total phenolic content and reducing power were determined using the Folin-Ciocalteu and the potassium ferricyanide reduction methods, respectively. Statistical analysis indicated a significant association between the antioxidant potency and total phenolic content as well as between the antioxidant potency and reducing power. (c) 2005 Elsevier Ltd. All rights reserved.

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Heart disease is one of the main factor causing death in the developed countries. Over several decades, variety of electronic and computer technology have been developed to assist clinical practices for cardiac performance monitoring and heart disease diagnosis. Among these methods, Ballistocardiography (BCG) has an interesting feature that no electrodes are needed to be attached to the body during the measurement. Thus, it is provides a potential application to asses the patients heart condition in the home. In this paper, a comparison is made for two neural networks based BCG signal classification models. One system uses a principal component analysis (PCA) method, and the other a discrete wavelet transform, to reduce the input dimensionality. It is indicated that the combined wavelet transform and neural network has a more reliable performance than the combined PCA and neural network system. Moreover, the wavelet transform requires no prior knowledge of the statistical distribution of data samples and the computation complexity and training time are reduced.