in:(YANPING WU)

BTK INHIBITOR PCT/CN2015/081686
[WANG, Xuehai 王学海, WANG, Xuehai 王学海, WU, Chengde 吴成德, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, YUE, Yang 乐洋, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, YUE, Yang 乐洋, LI, Jian 黎健, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, YUE, Yang 乐洋, LI, Jian 黎健, GUO, Diliang 郭涤亮, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, YUE, Yang 乐洋, LI, Jian 黎健, GUO, Diliang 郭涤亮, SHI, Nengyang 施能扬, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, YUE, Yang 乐洋, LI, Jian 黎健, GUO, Diliang 郭涤亮, SHI, Nengyang 施能扬, HUANG, Lu 黄璐, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, YUE, Yang 乐洋, LI, Jian 黎健, GUO, Diliang 郭涤亮, SHI, Nengyang 施能扬, HUANG, Lu 黄璐, CHEN, Shuhui 陈曙辉, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, YUE, Yang 乐洋, LI, Jian 黎健, GUO, Diliang 郭涤亮, SHI, Nengyang 施能扬, HUANG, Lu 黄璐, CHEN, Shuhui 陈曙辉, TU, Ronghua 涂荣华, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, YUE, Yang 乐洋, LI, Jian 黎健, GUO, Diliang 郭涤亮, SHI, Nengyang 施能扬, HUANG, Lu 黄璐, CHEN, Shuhui 陈曙辉, TU, Ronghua 涂荣华, YANG, Zhongwen 杨仲文, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, YUE, Yang 乐洋, LI, Jian 黎健, GUO, Diliang 郭涤亮, SHI, Nengyang 施能扬, HUANG, Lu 黄璐, CHEN, Shuhui 陈曙辉, TU, Ronghua 涂荣华, YANG, Zhongwen 杨仲文, ZHANG, Xuwen 张绪文, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, YUE, Yang 乐洋, LI, Jian 黎健, GUO, Diliang 郭涤亮, SHI, Nengyang 施能扬, HUANG, Lu 黄璐, CHEN, Shuhui 陈曙辉, TU, Ronghua 涂荣华, YANG, Zhongwen 杨仲文, ZHANG, Xuwen 张绪文, XIAO, Qiang 肖强, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, YUE, Yang 乐洋, LI, Jian 黎健, GUO, Diliang 郭涤亮, SHI, Nengyang 施能扬, HUANG, Lu 黄璐, CHEN, Shuhui 陈曙辉, TU, Ronghua 涂荣华, YANG, Zhongwen 杨仲文, ZHANG, Xuwen 张绪文, XIAO, Qiang 肖强, TIAN, Hua 田华, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, YUE, Yang 乐洋, LI, Jian 黎健, GUO, Diliang 郭涤亮, SHI, Nengyang 施能扬, HUANG, Lu 黄璐, CHEN, Shuhui 陈曙辉, TU, Ronghua 涂荣华, YANG, Zhongwen 杨仲文, ZHANG, Xuwen 张绪文, XIAO, Qiang 肖强, TIAN, Hua 田华, YU, Yanping 余艳平, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, YUE, Yang 乐洋, LI, Jian 黎健, GUO, Diliang 郭涤亮, SHI, Nengyang 施能扬, HUANG, Lu 黄璐, CHEN, Shuhui 陈曙辉, TU, Ronghua 涂荣华, YANG, Zhongwen 杨仲文, ZHANG, Xuwen 张绪文, XIAO, Qiang 肖强, TIAN, Hua 田华, YU, Yanping 余艳平, CHEN, Hailiang 陈海靓, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, YUE, Yang 乐洋, LI, Jian 黎健, GUO, Diliang 郭涤亮, SHI, Nengyang 施能扬, HUANG, Lu 黄璐, CHEN, Shuhui 陈曙辉, TU, Ronghua 涂荣华, YANG, Zhongwen 杨仲文, ZHANG, Xuwen 张绪文, XIAO, Qiang 肖强, TIAN, Hua 田华, YU, Yanping 余艳平, CHEN, Hailiang 陈海靓, SUN, Wenjie 孙文洁, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, YUE, Yang 乐洋, LI, Jian 黎健, GUO, Diliang 郭涤亮, SHI, Nengyang 施能扬, HUANG, Lu 黄璐, CHEN, Shuhui 陈曙辉, TU, Ronghua 涂荣华, YANG, Zhongwen 杨仲文, ZHANG, Xuwen 张绪文, XIAO, Qiang 肖强, TIAN, Hua 田华, YU, Yanping 余艳平, CHEN, Hailiang 陈海靓, SUN, Wenjie 孙文洁, HE, Zhenyu 何震宇, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, YUE, Yang 乐洋, LI, Jian 黎健, GUO, Diliang 郭涤亮, SHI, Nengyang 施能扬, HUANG, Lu 黄璐, CHEN, Shuhui 陈曙辉, TU, Ronghua 涂荣华, YANG, Zhongwen 杨仲文, ZHANG, Xuwen 张绪文, XIAO, Qiang 肖强, TIAN, Hua 田华, YU, Yanping 余艳平, CHEN, Hailiang 陈海靓, SUN, Wenjie 孙文洁, HE, Zhenyu 何震宇, SHEN, Jie 沈洁, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, YUE, Yang 乐洋, LI, Jian 黎健, GUO, Diliang 郭涤亮, SHI, Nengyang 施能扬, HUANG, Lu 黄璐, CHEN, Shuhui 陈曙辉, TU, Ronghua 涂荣华, YANG, Zhongwen 杨仲文, ZHANG, Xuwen 张绪文, XIAO, Qiang 肖强, TIAN, Hua 田华, YU, Yanping 余艳平, CHEN, Hailiang 陈海靓, SUN, Wenjie 孙文洁, HE, Zhenyu 何震宇, SHEN, Jie 沈洁, YANG, Jing 杨菁, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, YUE, Yang 乐洋, LI, Jian 黎健, GUO, Diliang 郭涤亮, SHI, Nengyang 施能扬, HUANG, Lu 黄璐, CHEN, Shuhui 陈曙辉, TU, Ronghua 涂荣华, YANG, Zhongwen 杨仲文, ZHANG, Xuwen 张绪文, XIAO, Qiang 肖强, TIAN, Hua 田华, YU, Yanping 余艳平, CHEN, Hailiang 陈海靓, SUN, Wenjie 孙文洁, HE, Zhenyu 何震宇, SHEN, Jie 沈洁, YANG, Jing 杨菁, TANG, Jing 唐静, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, YUE, Yang 乐洋, LI, Jian 黎健, GUO, Diliang 郭涤亮, SHI, Nengyang 施能扬, HUANG, Lu 黄璐, CHEN, Shuhui 陈曙辉, TU, Ronghua 涂荣华, YANG, Zhongwen 杨仲文, ZHANG, Xuwen 张绪文, XIAO, Qiang 肖强, TIAN, Hua 田华, YU, Yanping 余艳平, CHEN, Hailiang 陈海靓, SUN, Wenjie 孙文洁, HE, Zhenyu 何震宇, SHEN, Jie 沈洁, YANG, Jing 杨菁, TANG, Jing 唐静, ZHOU, Wen 周文, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, YUE, Yang 乐洋, LI, Jian 黎健, GUO, Diliang 郭涤亮, SHI, Nengyang 施能扬, HUANG, Lu 黄璐, CHEN, Shuhui 陈曙辉, TU, Ronghua 涂荣华, YANG, Zhongwen 杨仲文, ZHANG, Xuwen 张绪文, XIAO, Qiang 肖强, TIAN, Hua 田华, YU, Yanping 余艳平, CHEN, Hailiang 陈海靓, SUN, Wenjie 孙文洁, HE, Zhenyu 何震宇, SHEN, Jie 沈洁, YANG, Jing 杨菁, TANG, Jing 唐静, ZHOU, Wen 周文, YU, Jing 于静, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, YUE, Yang 乐洋, LI, Jian 黎健, GUO, Diliang 郭涤亮, SHI, Nengyang 施能扬, HUANG, Lu 黄璐, CHEN, Shuhui 陈曙辉, TU, Ronghua 涂荣华, YANG, Zhongwen 杨仲文, ZHANG, Xuwen 张绪文, XIAO, Qiang 肖强, TIAN, Hua 田华, YU, Yanping 余艳平, CHEN, Hailiang 陈海靓, SUN, Wenjie 孙文洁, HE, Zhenyu 何震宇, SHEN, Jie 沈洁, YANG, Jing 杨菁, TANG, Jing 唐静, ZHOU, Wen 周文, YU, Jing 于静, ZHANG, Yi 张毅, WANG, Xuehai 王学海, WU, Chengde 吴成德, XU, Yong 许勇, SHEN, Chunli 沈春莉, LI, Li'e 李莉娥, HU, Guoping 胡国平, YUE, Yang 乐洋, LI, Jian 黎健, GUO, Diliang 郭涤亮, SHI, Nengyang 施能扬, HUANG, Lu 黄璐, CHEN, Shuhui 陈曙辉, TU, Ronghua 涂荣华, YANG, Zhongwen 杨仲文, ZHANG, Xuwen 张绪文, XIAO, Qiang 肖强, TIAN, Hua 田华, YU, Yanping 余艳平, CHEN, Hailiang 陈海靓, SUN, Wenjie 孙文洁, HE, Zhenyu 何震宇, SHEN, Jie 沈洁, YANG, Jing 杨菁, TANG, Jing 唐静, ZHOU, Wen 周文, YU, Jing 于静, ZHANG, Yi 张毅, LIU, Quan 刘荃] No.666 Gaoxin Road, Wuhan East Lake Hi-tech Development Zone 中国湖北省武汉市东湖高新技术开发区高新大道666号, Hubei 430075Wuhan, Hubei 430075;No.666 Gaoxin Road, Wuhan East Lake Hi-tech Development Zone 中国湖北省武汉市武汉东湖开发区高新大道666号, Hubei 430075Wuhan, Hubei 430075 Provided are a series of BTK inhibitors, and specifically disclosed are a compound, pharmaceutically acceptable salt thereof, tautomer thereof or pro-drug thereof represented by formula (I), (II), (III) or (IV).
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SOIL HEAVY METAL STRESS IDENTIFICATION METHOD BASED ON LONG TIME SERIES NDVI PCT/CN2024/070257
[LI, Xuqing 李旭青, LU, Chengqian 卢成乾, TANG, Ruiyin 唐瑞尹, WANG, Yancang 王延仓, HE, Yuejun 何跃君, WU, Jianjun 武建军, WU, Ling 吴伶, WU, Yanping 吴艳萍, FANG, Hongji 房红记, WANG, Qi 王棋, WU, Qiong 吴琼, SUN, Xiao 孙肖] {133 Aimin East Road 中国河北省廊坊市爱民东道133号, Hebei 065000Langfang, Hebei 065000;CN CN(CN)(CN)} A soil heavy metal stress identification method based on a long time series NDVI, which comprises the steps of remotely sensed image preprocessing, NDVI long time series construction, EEMD decomposition, statistical descriptive metric calculation, seasonal average model construction, soil heavy metal stress series identification, soil heavy metal stress stable feature extraction, actual measurement of ground data, and soil heavy metal stress level monitoring. The present method utilizes an NDVI long time series, and stress spectrum characteristics and time characteristics are combined, mitigating the defect of a lack of time characteristics in a single time phase; comprehensive EEMD decomposition and seasonal average model construction are integrated, and the problem of noise residue is solved, better facilitating the capture of the long-terms effects of soil heavy metal stress, and implementing identification and extraction of soil heavy metal stress; crop phenology is intregrated, stable characteristic metrics for effective identification of soil heavy metal stress is established in complex soil environments, and, by combining actual measurement data, large-area soil heavy metal stress monitoring is achieved. A soil heavy metal stress identification method based on a long time series NDVI, which comprises the steps of remotely sensed image preprocessing, NDVI long time series construction, EEMD decomposition, statistical descriptive metric calculation, seasonal average model construction, soil heavy metal stress series identification, soil heavy metal stress stable feature extraction, actual measurement of ground data, and soil heavy metal stress level monitoring. The present method utilizes an NDVI long time series, and stress spectrum characteristics and time characteristics are combined, mitigating the defect of a lack of time characteristics in a single time phase; comprehensive EEMD decomposition and seasonal average model construction are integrated, and the problem of noise residue is solved, better facilitating the capture of the long-terms effects of soil heavy metal stress, and implementing identification and extraction of soil heavy metal stress; crop phenology is intregrated, stable characteristic metrics for effective identification of soil heavy metal stress is established in complex soil environments, and, by combining actual measurement data, large-area soil heavy metal stress monitoring is achieved.
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METHOD FOR DISCRIMINATING HEAVY METAL STRESS ON SOIL ON THE BASIS OF LONG-TIME-SERIES NDVI LU506698A
[WANG YANCANG, WU JIANJUN, WU QIONG, WU LING, TANG RUIYIN, LI XUQING, FANG HONGJI, WU YANPING, LI CHENGQIAN, WANG QI, SUN XIAO, HE YUEJUN] CN Disclosed is a method for discriminating heavy metal stress on soil on the basis of a long-time-series normalized difference vegetation index (NDVI). The method includes steps of preprocessing a remote sensing image, constructing a NDVI long time series, carrying out ensemble empirical mode decomposition (EEMD), computing a statistical description index, constructing a seasonal average model, discriminating a series of the heavy metal stress on the soil, extracting a stability feature of the heavy metal stress on the soil, measuring ground data in real time, and monitoring a level of the heavy metal stress on the soil. According to the present invention, a spectral feature of the stress is combined with a temporal feature by using the NDVI long time series, such that a defect that a single time phase lacks a temporal feature is avoided.
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CONDITION-BASED MAINTENANCE METHOD AND SYSTEM FOR SUBSEA TREE SYSTEM BASED ON REMAINING USEFUL LIFE PREDICTION AU2021104410A
[CAI BAOPING, LIU YONGHONG, WANG YUANDONG, LIU GUIJIE, FENG QIANG, WU QILIN, GE WEIFENG, LI XINCHENG, WU QIBING, WU XIAOLU, HE RUI, ZOU ZHEXIAN, WANG HONGHUI, ZHANG YANPING] CN;CN;CN;CN;CN;CN The present disclosure belongs to the field of petroleum engineering, and in particular relates to a condition-based maintenance method and system for subsea tree system based on remaining useful life prediction. The condition-based maintenance method for subsea tree system based on remaining useful life prediction includes 6 steps: establish the degradation shock model of the subsea tree component, establish the imperfect maintenance model of the subsea tree component, establish the remaining useful life prediction model of the subsea tree component, establish the spare parts model of the subsea tree system, establish the condition based maintenance model of the subsea tree system and determine the optimal decision-making threshold for the maintenance of the subsea tree system. The condition-based maintenance system for subsea tree system based on remaining useful life prediction includes 5 parts: subsea tree production loop data acquisition module, subsea tree annulus loop data acquisition module, subsea tree chemical injection loop data acquisition module, subsea tree sensor data collection and storage module and subsea tree maintenance decision subsystem. -1/9 Establish the degradation shock model of the subsea tree component Establish the imperfect maintenance model of the subsea tree component Establish the remaining useful life prediction model of the subsea tree component Establish the spare parts model of the subsea tree system Establish the condition based maintenance model of the subsea tree system Determine the optimal decision-making threshold for the maintenance of the subsea tree system Figure 1
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N ORTHO ACYL SUBSTITUTED NITROGEN-CONTAINING HETEROCYCLIC COMPOUND AND PROCESS FOR PREPARING AMINAL IRON (II) COMPLEXES THEREOF PCT/CN2011/002014
[LIU, Jun, ZHENG, Mingfang, LI, Weizhen, ZHANG, Haiying, WANG, Huaijie, ZHOU, Yu, LI, Tonglin, ZHAO, Lan, WU, Hongfei, XIE, Mingjun, WU, Chunhong, JIA, Zhiguang, QI, Yanping, WANG, Jilong] No. 22 Chaoyangmen North Street Chaoyang District Beijing 100728;No. 14, Beisanhuan East Road Chaoyang District Beijing 100013;No.15 Fenghuangting Road, Yanshan Fangshan District Beijing 102500;No.15 Fenghuangting Road, Yanshan Fangshan District Beijing 102500;No. 15 Fenghuangting Road, Yanshan Fangshan District Beijing 102500;No. 15 Fenghuangting Road, Yanshan Fangshan District Beijing 102500;No. 15 Fenghuangting Road, Yanshan Fangshan District Beijing 102500;No. 15 Fenghuangting Road, Yanshan Fangshan District Beijing 102500;No. 15 Fenghuangting Road, Yanshan Fangshan District Beijing 102500;No. 15 Fenghuangting Road, Yanshan Fangshan District Beijing 102500;No. 15 Fenghuangting Road, Yanshan Fangshan District Beijing 102500;No. 15 Fenghuangting Road, Yanshan Fangshan District Beijing 102500;No. 15 Fenghuangting Road, Yanshan Fangshan District Beijing 102500;No. 15 Fenghuangting Road, Yanshan Fangshan District Beijing 102500;No. 15 Fenghuangting Road, Yanshan Fangshan District Beijing 102500;No. 15 Fenghuangting Road, Yanshan Fangshan District Beijing 102500 Provided are a N ortho acyl substituted nitrogen-containing heterocyclic compound and a process for preparing aminal iron (II) complexes thereof, and use of the complexes obtained by the process in an olefin oligomerization catalyst. The N ortho acyl substituted nitrogen-containing heterocyclic compound in the present invention is for example a 2-acyl-1,10-phenanthroline or a 2,6-diacetyl pyridine as shown in the formula b; the N ortho acyl substituted nitrogen-containing heterocyclic compound in the present invention is produced by a reaction of a precursor thereof in a substituted or unsubstituted nitrobenzene. Preferably the precursor shown in formula I in the present invention is produced by reacting the 1,10-phenanthroline with a trialkyl aluminum, or a halogenoalkyl aluminum RnAlXm, or a substituted or unsubstituted benzyl lithium Ph'CH2Li, followed by hydrolysis. The preparation method provided in the present invention has few synthetic steps, an easy process, a low toxic effect, reduces the preparation costs of the catalyst, and has a promising outlook in industrial application.
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A METHOD FOR PERFOMING A VIDEO CONFERENCE BY TERMINAL DIAL-UP PCT/CN2005/000840
[YOU, Hongtao, CAO, Jia, WU, Yanping, WU, Yongming] XUE, Jilin ZTE Plaza, Keji Road South, Hi-Tech Industrial Park, Nanshan District Shenzhen Guangdong 518057;ZTE Plaza, Keji Road South, Hi-Tech Industrial Park, Nanshan District Shenzhen Guangdong 518057;ZTE Plaza, Keji Road South, Hi-Tech Industrial Park, Nanshan District Shenzhen Guangdong 518057;ZTE Plaza, Keji Road South, Hi-Tech Industrial Park, Nanshan District Shenzhen Guangdong 518057;ZTE Plaza, Keji Road South, Hi-Tech Industrial Park, Nanshan District Shenzhen Guangdong 518057 A method for performing a video conference by terminal dial-up, comprises the steps of: presetting a conference sponsor specified number and a conference participant specified number; the calling terminal sending a request for establishing a video conference to the registration server by using the conference sponsor specified number; a multi-points control unit (MCU) configuring and performing the conference so as to finish the flow of conference sponsoring by terminal dial-up; the call terminal using the conference participant specified number to attend the conference after the processing of registration server and MCU, so that the flow of conference attending by terminal dial-up is completed. This invention can perform the multi-points videoconference by applying the same dial-up manner as the common voice telephone, and is simple and convenient in use. This invention simplifies the video conference service application and can apply to common users easily.
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A method for open and rapid propagation of potato tissue culture seedlings AU2020103236A
[ZHANG WU, LV HEPING, WU YANBIN, LIANG HONGJIE, GAO YANPING, WANG MIN] Abstract The invention discloses a method for open and rapid propagation of potato tissue culture seedlings, the method significantly reduces the factory production cost of the potato virus-free tissue culture seedlings and improves the reproductive efficiency. The produced high-quality and robust virus-free tissue culture seedlings provide technical support for the production of potato breeder\'s seeds or false plant field stock seeds.
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CLOTH DEFECT DETECTION METHOD BASED ON ADVERSARIAL NEURAL NETWORK, AND TERMINAL AND STORAGE MEDIUM PCT/CN2020/111475
[ZHOU, Kai 周凯, WU, Xiaofei 吴小飞, PANG, Fengjiang 庞凤江, WU, Yanping 武艳萍, PENG, Qidong 彭其栋, ZHANG, Fan 张帆] 6/F 中国广东省深圳市罗湖区莲塘接到鹏兴社区鹏兴路2号鹏基工业区710栋六层, Guangdong 518000710 Building, Pengji Industrial ZoneNo. 2 Pengxing Road, Pengxing Community, Liantang Street, Luohu DistrictShenzhen, Guangdong 518000 Disclosed are a cloth defect detection method based on an adversarial neural network, and a terminal and a storage medium. The detection method comprises the following steps: step 1: training a GAN model according to a positive sample of cloth, and outputting the GAN model after the training is completed; step 2: sending a detection image sample of the cloth to the GAN model, and the GAN model reconstructing the detection image sample, so as to generate a good reconstructed image sample; and step 3: performing structural similarity comparison between the detection image sample and the reconstructed image sample, and determining, according to a difference degree obtained by means of comparison, whether the detection image sample is defective.
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PRIVATE NETWORK SECURITY AUTHENTICATION METHOD, APPARATUS AND SYSTEM, AND ELECTRONIC DEVICE, STORAGE MEDIUM AND COMPUTER PROGRAM PRODUCT PCT/CN2024/115281
[ZHUANG, Yan 庄严, JIANG, Zhouliang 蒋周良, ZHANG, Yanping 张燕平, XIONG, Zhongzhi 熊中芝, TONG, Anlu 童安璐, WU, Jintao 吴锦涛, CHEN, Pengcong 陈澎聪, LI, Wei 李卫, WU, Ting 毋挺, LIN, Xiang 林翔, MA, Xiaokai 马晓凯, KE, Xiaocheng 柯晓程] Block B, No.323 Gaotang Road, Tianhe District, 中国广东省广州市天河区高唐路323号B栋, Guangdong 510700Guangzhou, Guangdong 510700;29, Jinrong Ave., 中国北京市西城区金融大街29号, Beijing 100032Xicheng District, Beijing 100032 Provided in the present application are a private network security authentication method, apparatus and system, and an electronic device, a storage medium and a computer program product. The method comprises: an SIM card sending card information to a service system by means of a short message gateway; the service system returning user information to the SIM card; the first terminal sending an intranet application access request to a private network; a gateway device intercepting the intranet application access request, and redirecting an identity authentication link to the first terminal; the first terminal acquiring the user information of the SIM card and sending same to the service system by means of the gateway device; and the service system performing identity authentication on a user of the first terminal on the basis of the user information. Provided in the present application are a private network security authentication method, apparatus and system, and an electronic device, a storage medium and a computer program product. The method comprises: an SIM card sending card information to a service system by means of a short message gateway; the service system returning user information to the SIM card; the first terminal sending an intranet application access request to a private network; a gateway device intercepting the intranet application access request, and redirecting an identity authentication link to the first terminal; the first terminal acquiring the user information of the SIM card and sending same to the service system by means of the gateway device; and the service system performing identity authentication on a user of the first terminal on the basis of the user information.
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LIQUID YEAST ONE- AND TWO-HYBRID HIGH-THROUGHPUT LIBRARY SCREENING METHOD AND USE THEREOF US18550843
[Bingjun JIANG, Yanping Qi, Tianfu HAN, Shi SUN, Cunxiang WU, Tingting WU, Shan YUAN] CN Beijing A liquid yeast one- and two-hybrid high-throughput library screening method and use thereof changes the screening of solid medium to liquid culture solution screening, avoiding a large number of plate coating work, and avoiding the tedious work of identifying single colonies one by one, which not only saves experiment time, but also reduces the cost and workload; at the same time, the present invention also combines high-throughput sequencing technology to improve the analysis throughput of yeast hybridization screening work, and can also improve the automation level of analysis, and can greatly reduce false negatives. More importantly, the present invention can solve the phenomenon of protein self-activation. By changing to liquid screening, known protein interaction information can be successfully obtained, which provides a new opportunity for protein-protein interaction research.
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