张雅丽的基本情况

Posted 2023-04-18

参考技术A

1：葡萄抗寒基因功能分析及验证。
2:葡萄抗旱再生植株的筛选。
3:葡萄蔗糖转运蛋白功能分析。
主要工作有：基因的克隆及功能验证；差显文库的建立；植物组织培养、体胚诱导及转基因；基因的检测等。 农业部948项目“葡萄品种资源、生产与加工技术引进创新及产业化”（2006-2010）；
国家985项目“葡萄功能基因组研究” (2005-2007);学校科研启动基金“葡萄蔗糖转运蛋白基因功能鉴定及分析应用”（2006-2008） 已经发表文章20余篇，其中以第一作者发表的被SCI收录的文章8篇。　　1.Xu ChangMou, ZhangYaLi, Zhu Lei, Lu Jiang Influence of Growing Seasons on Phenolic Compounds and Antioxidant Properties of Grape Berries from Vines Grown in Subtropical Climate. Journal of Agricultural and Food Chemistry. 2011, 59, 1078–1086　　2.Jiao Wu and Yali Zhang, Huiqin Zhang, Hong Huang, Kevin M Folta, Jiang Lu. Whole genome wide expression profiles of Vitis amurensis grape responding to downy mildew by using Solexa sequencing technology. BMC Plant Biology 2010, 10:234 　　3.Xu ChangMou, ZhangYaLi, Cao Lei, Lu Jiang. Phenolic compounds and antioxidant properties of different grape cultivars grown in China. Food Chemistry. 2010 119(4):1557-1565.　　4.Xu ChangMou, ZhangYaLi, Wang Jun, Lu Jiang. Extraction, distribution and characterisation of phenolic compounds and oil in grapeseeds Food Chemistry 2010 122:688–694　　5.Ma YuanYuan, ZhangYaLi, Lu Jiang. Differential Physio-biochemical Responses to Cold Stress of Cold-tolerant and non-tolerant Grapevines from China. Journal of Agronomy and Crop Science. 2010 196(3):212-219　　6.Ma YuanYuan, ZhangYaLi, Lu Jiang. Roles of plant soluble sugars and their responses to plant cold stress. African Journal of Biotechnology 2009 8 (10): 2004-2010　　7.Zhang Ya Li, Meng Qing Yong, Zhu Hong Liang, Guo Ying, Gao Hong Yan, Luo Yun Bo and Lu Jiang. Functional characterization of a LAHC sucrose transporter isolated from grape berries in yeast. Plant Growth Regulation 2008 54(1):71-79　　8.Zhang Ya Li, Meng Qing Yong, Qu Gui Qin, Lin Xi Jin, Lu Jiang, Luo Yun-Bo. The antisence expression of a putative grape sucrose transporter in tobacco and effecs on growth of the transformants. Progress in Biochemistry and Biophysics, 2006 7: 699~705

爬虫计算两张验证图片的距离(情况一)

一.图

这两张图片的计算距离

二.计算代码

import cv2
import numpy as np
def get_image_deviation():
    '''
    计算slideImg.png 与 slideImg.png 位移的距离
    '''
    print(sys.path)
    slideImg = cv2.imread('图片路径1')
    bgImg = cv2.imread(f'图片路径2')
    result = cv2.matchTemplate(slideImg, bgImg, cv2.TM_CCOEFF_NORMED)
    y, x = np.unravel_index(result.argmax(), result.shape)
    return x

三.注意点

cv2.imread中的参数绝对不能有中文路径