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This paper discussed antioxidation of chloroform extract and ethyl acetate extract of plum to lard and peanut oil.

研究了青梅氯仿提取物和乙酸乙酯提取物对猪油和花生油的抗氧化性能。

Lanolin Alcohol,Cholsterol,Ox Bile Extract,Porcine Bile Extract,Ox Cholic Acldate,Sodium Cholate,CollagenI.

羊毛醇,胆固醇,牛胆粉,猪胆粉,牛胆酸,胆酸钠,胶原蛋白

Calendula officinalis flower extract*, Daucus carota sativa root extract*, Sodium hyaluronate, Aloe barbadensis leaf juice powder*, Boswellia carterii oil, Citrus nobilis peel oil expressed*, Citrus bergamia peel oil expressed*, Tocopherol, Xanthan gum, Citric acid,Citral, Citronellol, Limonene, Linalool.

金盏菊花提取*,胡苜蓿根胡萝卜提取*,透明质酸钠,芦荟叶汁粉*,乳香油,柑桔天牛表示*果皮油,柑橘bergamia表示*果皮油,维生素E ,黄原胶,柠檬酸,柠檬醛,香茅醇,柠檬烯,芳樟醇。

Water, Sodium Cocoyl Isethionate, Kaolin, Montmorillonite, Soy Flour, Aloe Barbadensis Leaf Juice, Calendula Officinalis (Calendula/Marigold) Extract, Hamaelis Virginiana Distillate, Hydrastis Canadensis Extract, Dead Sea Salt, Echinacea Angustifolia (Echinacea/Coneflower), Xanthan Gum, Polysorbate 20, Methylchlorisothiazolimone, Methyliazolinone, Methylparaben, Propylparaben, Pheonexyethanol, Red 33, Blue 1, Fragrance.

个人认为,第一款保湿不错,可以尝试,第二款提取物居多,还含有死海盐,呵呵,是不是去角质产品呢,两款都是芦荟概念吧,但是第二款的防腐体系比较刺激,不应该用于护肤产品,如果是洗去型产品,还是可以考虑

For the bottom-up attention process, areas of interest that deserve visual attention are formed by a sequentially extracting of feature map, conspicuity map, and interesting map. Firstly, based on Treisman's feature integration theory and the characteristics of orientation and frequency selective nerve cells in biological cortex, we propose a new 2D optimal quadrature filter in the meaning of minimum energy loss to extract intensity, edge, orientation, symmetry, curvature and comer features to form the feature maps. Then based on the local competent and global cooperative perception character of biological vision, we design a kind of competent/cooperative filter and use a set of such filters to extract conspicuous locations that will most likely to cause visual attention from feature maps to form conspicuity maps.

我们根据Treisman〓的特征整合理论,结合生物视觉皮层的方向、频率敏感性神经元,提出采用一组调制在不同尺度和方向上的新的最佳正交特征滤波器并行地提取图象的亮度、边缘、方向、对称性、曲率和角度等特征作为注意线索,构成特征图;在此基础上,基于生物视觉的局部竞争和全局协作特性,本文设计了一种竞争协作滤波器用于从特征图中提取可能引起视觉注意的显著位置构成显著图,各显著图进一步通过本文提出的融合算法和非线性松弛迭代算法生成自底向上兴趣图。

The fragment was connected to pcDNA3.0 carrier which was cut by the same two enzymes to form the plasmid which was transformed into Escherichia coli DH5a.Appropriate clone was cultured to extract plasmid.The extract was analysed to confirm that it was constructed correctively.

将该片段连接到同样被KpnⅠ和XhoⅠ双酶切的pcDNA3.0载体中,转化大肠杆菌DH5α感受态细菌,挑取阳性克隆进行质粒提取,进行酶切鉴定,并获得阳性克隆。

Toxicologic study of water soluble extract and ethanol soluble extract of DEH was observed.

目的观察土甘草水提物和醇提物对小鼠灌胃给药的急性毒性。

FEATURES: Characteristic: Include Australia lemon mahogany leaf extract, and pure whitening factor with multiple whitening extract. Reduce the pigmentation of the skin ground floor, desalinize the complexion.

特点:蕴含澳洲柠檬香桃木叶部提取精华及含有纯净美白因子的独特的多重美白精华,减少肌肤底层的色素沉着,淡化肤色。

Sonicated bacterial extract caused a modest, less than 1 fold, increase in IL-8 secretion by digitonin-untreated A549 cells. In the digitonin- permeabilized A549 cells,Sonicated bacterial extract strongly induced the expression of IL-8,a 3 fold increase over the control.

经digitonin处理使细胞膜通透性增加后,Kp培养上清及菌体成分刺激细胞IL-8的作用都增强,菌体成分刺激IL-8效果更为显著,为对照的3倍,而培养上清作用相对较弱。

It solves the problem that the unitary contour presentation can not correctly extract face contour in a face image which suffers from scale, rotation etc. The definition of the internal and external energy function is provided. At the same time, the global matching algorithm and local matching algorithm is given. The experiment shows that this presentation and the accompanying matching algorithm can be used to extract the face contour very well. So the image segmentation can be implemented by using it.②By analyzing the recognition principle of PCA method, we can conclude that the face images coming from different surrounding consist of different face image space. This is the essential reason that makes the generality of PCA method worse. Also, we give a measurement means to measure the distance from different face image space, so we can analyze face image space more conveniently.③We also construct various scale models and rotation pose models to detect the scale and rotating angle of face image to be recognized. The experiment results show that the detecting precision is very high. So it is good for face image feature extraction and face image representation.④Similarly, we construct local feature models of face image and utilize them to detect the local feature of face image. At the same time, we put forward a novel face image local feature detection algorithm, locating step by step. The experiment results show that this method can accurately detect the location of local face feature in a image.⑤A novel face image presentation model, dual attribute graph , is put forward. Firstly, it utilizes attribute graph to present the face image, then exact the local principal component coefficient and Gabor transform coefficient of thc pixels which corresponds to the nodes of the graph as the attribute of the nodes. This representation fully makes use of the statistical characteristic of the local face feature and utilizes Gabor transform to present the topographical structure of face image. So DAG has more general property.⑥Based on the DAG presentation, we give a DAG matching function and matching algorithm. During the design of the function and algorithm, the noise factor, e. g., lighting, scale and rotation pose are considered and tried to be eliminated. So the algorithm can give more general property.⑦A general face image recognition system is implemented. The experiment show the system can get better recognition performance under the noise surrounding of lighting, scale and rotation pose.

本文在上述研究的基础上,取得了如下主要研究成果:①构造了一个通用的人脸轮廓模型表示,解决了由于人脸图象尺度、旋转等因素而使得仅用单一轮廓表示无法正确提取人脸轮廓的问题,并给出了模型内、外能函数的定义,同时给出了模型的全局与局部匹配算法,实验表明,使用这种表示形式以及匹配算法,能够较好地提取人脸图象的轮廓,可实际用于人脸图象的分割;②深入分析了PCA方法的识别机制,得出不同成象条件下的人脸图象构成不同的人脸图象空间的结论,同时指出这也是造成PCA方法通用性较差的本质原因,并给出了不同人脸空间距离的一种度量方法,使用该度量方法能够直观地对人脸图象空间进行分析;③构造了各种尺度模板、旋转姿势模板以用于探测待识人脸图象的尺度、旋转角度,实验结果表明,探测精确度很高,从而有利于人脸图象特征提取,以及图象的有效表示;④构造了人脸图象的各局部特征模板,用于人脸图象局部特征的探测;同时提出了一种新的人脸图象局部特征探测法---逐步求精定位法,实验结果表明,使用这种方法能够精确地得到人脸图象各局部特征的位置;⑤提出了一种新的人脸图象表示法---双属性图表示法;利用属性图来表示人脸图象,并提取图节点对应图象位置的局部主成分特征系数以及Gabor变换系数作为图节点的属性,这种表示方法充分利用了人脸图象的局部特征的统计特性,并且使用Gabor变换来反映人脸图象的拓扑结构,从而使得双属性图表示法具有较强的通用性;⑥在双属性图表示的基础上,给出双属性图匹配函数及匹配算法,在函数及算法设计过程中,考虑并解决了光照、尺度、旋转姿势变化等因素对人脸图象识别的影响,使得匹配算法具有较强的通用性;⑦设计并实现了一个通用的人脸图象识别系统,实验结果表明,该系统在图象光照、尺度、旋转姿势情况下,得到了较好的识别效果。

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