Safflower is widely cultivated and used as a dual-purpose medicinal oil worldwide.This research used the incoPat patent database to search the global safflower patents for nearly 20 years,aiming to reveal the developm...Safflower is widely cultivated and used as a dual-purpose medicinal oil worldwide.This research used the incoPat patent database to search the global safflower patents for nearly 20 years,aiming to reveal the development process and current situation of the safflower industry in China and around the world by analyzing patent application trends,patent technology characteristics,advantageous industries and regions,patent quality,etc.The analysis shows that safflower patent applications are generally increasing,and the period 2010-2016 is characterized by the rapid development of patent applications.The technical features of global patents are mainly concentrated in pharmaceutical preparations,cosmetics,food and health care,various beverages,animal feed,safflower cultivation and harvesting equipment,and safflower seed oil.During the rapid development of patent applications,safflower was further developed in cosmetics,edible oil,and harvesting equipment.In addition,patent applications in rheumatism and bone diseases have increased,with the potential for development.China is the leading region for researching and developing medicinal safflower patents,especially Shandong and Henan provinces.Foreign patents are more focused on the value development of safflower seed oil in food and chemicals.Compared to the major countries and organizations that apply for safflower patents on a global scale,the quality of Chinese safflower patents is medium,and more awareness of patent protection is required.This paper provides suggestions for the subsequent development of the safflower industry,summarizes and analyzes the development trend of safflower patents,and provides new ideas to obtain innovative patent results.展开更多
[Objective] The aim was to explore the production potential and extension value of Yun peanut No.3 to lay foundation for further extension. [Method] Selection, breeding, characters, yield and the stability of Yun pean...[Objective] The aim was to explore the production potential and extension value of Yun peanut No.3 to lay foundation for further extension. [Method] Selection, breeding, characters, yield and the stability of Yun peanut No.3 were analyzed. [Result] Yun peanut No.3 is a new early-mature peanut species bred based on foreign resources and local varieties through sexual hybridization and improvement. It contains 50.32% of fat, 26.5% of protein, 38.93% of oleic acid, 38.88% of linoleic acid, and the ratio of oleic acid and linoleic acid is at 1.00. It is a typical small-scale peanut with red skin, high contents of oil and fat, and constitutes the first one approved by cultivar registration in China. According to related tests, pod yield achieved 3 615.9 kg/hm2 ; kernel yield was 2 570.1 kg/hm2 and oil output was 1 293.3 kg/hm2 . For the production at scale, pod yields would be about 3 000 kg/hm2 ; the production value of fruit would be 25 000 Yuan/hm2 ; the yield per unit area would be maximal at 16 000 kg/hm2 , totaling 64 000 Yuan/hm2 . It enjoys different excellent qualities, such as drought-resistance and barren-resistance. It was approved in Yunnan Province in 2012 and extended at 20 000 Yuan/hm2 in major production lands. [Conclusion] Yun peanut No.3, which is highly-yield and highly-qualified, is suitable to be grown in Yunnan, as well as similar conditions in southern regions in China.展开更多
油浸式变压器在运行老化过程中难免会出现各种潜伏性故障,及时正确诊断出变压器的状态至关重要,传统利用基于油中溶解气体分析法(dissolved gas analysis, DGA)数据的三比值法因存在编码不足的缺陷,限制了故障的诊断效果。为此提出了一...油浸式变压器在运行老化过程中难免会出现各种潜伏性故障,及时正确诊断出变压器的状态至关重要,传统利用基于油中溶解气体分析法(dissolved gas analysis, DGA)数据的三比值法因存在编码不足的缺陷,限制了故障的诊断效果。为此提出了一种改进的蝠鲼算法(manta ray foraging optimization, MRFO)优化反向传播(back propagation, BP)网络的故障诊断模型。首先利用逻辑映射与反向学习(opposition based learning, OBL)融合的多阶段算法为MRFO提供初始位置,加强算法全局寻优能力;同时提出利用正交实验法优化蝠鲼算法的3种觅食策略,调节蝠鲼个体的探索与开发,以加强该算法在特定问题上的寻优能力;最后将改进的蝠鲼算法寻得的最优解赋予BP网络的权值和偏置,建立变压器故障诊断系统。利用IEC TC 10故障数据进行了实验,并与其他算法进行了结果对比分析。结果表明,所提方法与BPNN、未改进的MRFO-BP、三比值法的结果相比,分别高出16%、8%、24%,是一种积极有效的方法。展开更多
基金the National Famous and Old Chinese Medicine Expert Inheritance Studio of the State Administration of Traditional Chinese Medicine([2019]No.41)The key research and development projects of Sichuan Science and Technology Plan(2020YFN0152,2021YFYZ0012-5)+1 种基金Chengdu University of Traditional Chinese Medicine"Xinglin Scholars"Discipline Talents Research Promotion Program(CXTD2018003,QJRC2022025)Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine(ZYYCXTD-D-202209).
文摘Safflower is widely cultivated and used as a dual-purpose medicinal oil worldwide.This research used the incoPat patent database to search the global safflower patents for nearly 20 years,aiming to reveal the development process and current situation of the safflower industry in China and around the world by analyzing patent application trends,patent technology characteristics,advantageous industries and regions,patent quality,etc.The analysis shows that safflower patent applications are generally increasing,and the period 2010-2016 is characterized by the rapid development of patent applications.The technical features of global patents are mainly concentrated in pharmaceutical preparations,cosmetics,food and health care,various beverages,animal feed,safflower cultivation and harvesting equipment,and safflower seed oil.During the rapid development of patent applications,safflower was further developed in cosmetics,edible oil,and harvesting equipment.In addition,patent applications in rheumatism and bone diseases have increased,with the potential for development.China is the leading region for researching and developing medicinal safflower patents,especially Shandong and Henan provinces.Foreign patents are more focused on the value development of safflower seed oil in food and chemicals.Compared to the major countries and organizations that apply for safflower patents on a global scale,the quality of Chinese safflower patents is medium,and more awareness of patent protection is required.This paper provides suggestions for the subsequent development of the safflower industry,summarizes and analyzes the development trend of safflower patents,and provides new ideas to obtain innovative patent results.
基金Supported by Yunnan Key New Cultivar Planting Program (2011BB010)National Penaut Industry Technology System (CARS-14)~~
文摘[Objective] The aim was to explore the production potential and extension value of Yun peanut No.3 to lay foundation for further extension. [Method] Selection, breeding, characters, yield and the stability of Yun peanut No.3 were analyzed. [Result] Yun peanut No.3 is a new early-mature peanut species bred based on foreign resources and local varieties through sexual hybridization and improvement. It contains 50.32% of fat, 26.5% of protein, 38.93% of oleic acid, 38.88% of linoleic acid, and the ratio of oleic acid and linoleic acid is at 1.00. It is a typical small-scale peanut with red skin, high contents of oil and fat, and constitutes the first one approved by cultivar registration in China. According to related tests, pod yield achieved 3 615.9 kg/hm2 ; kernel yield was 2 570.1 kg/hm2 and oil output was 1 293.3 kg/hm2 . For the production at scale, pod yields would be about 3 000 kg/hm2 ; the production value of fruit would be 25 000 Yuan/hm2 ; the yield per unit area would be maximal at 16 000 kg/hm2 , totaling 64 000 Yuan/hm2 . It enjoys different excellent qualities, such as drought-resistance and barren-resistance. It was approved in Yunnan Province in 2012 and extended at 20 000 Yuan/hm2 in major production lands. [Conclusion] Yun peanut No.3, which is highly-yield and highly-qualified, is suitable to be grown in Yunnan, as well as similar conditions in southern regions in China.
文摘油浸式变压器在运行老化过程中难免会出现各种潜伏性故障,及时正确诊断出变压器的状态至关重要,传统利用基于油中溶解气体分析法(dissolved gas analysis, DGA)数据的三比值法因存在编码不足的缺陷,限制了故障的诊断效果。为此提出了一种改进的蝠鲼算法(manta ray foraging optimization, MRFO)优化反向传播(back propagation, BP)网络的故障诊断模型。首先利用逻辑映射与反向学习(opposition based learning, OBL)融合的多阶段算法为MRFO提供初始位置,加强算法全局寻优能力;同时提出利用正交实验法优化蝠鲼算法的3种觅食策略,调节蝠鲼个体的探索与开发,以加强该算法在特定问题上的寻优能力;最后将改进的蝠鲼算法寻得的最优解赋予BP网络的权值和偏置,建立变压器故障诊断系统。利用IEC TC 10故障数据进行了实验,并与其他算法进行了结果对比分析。结果表明,所提方法与BPNN、未改进的MRFO-BP、三比值法的结果相比,分别高出16%、8%、24%,是一种积极有效的方法。
