process for the extraction of a human carcinoembryonisk antigenmateriale and possibly the components a and / or b thereof

• 1. 风味油生产产生的滤饼的风味物质和营养组分的提取方法 [P] . 中国专利： CN113925094A . 2022-01-14
• 2. 一种薏苡仁活性物质的双组分助剂提取方法 [P] . 中国专利： CN113440460A . 2021-09-28
• 3. process for the extraction of a human carcinoembryonins anfremgangsmade to extraction of a human carcinoembryonisk antigenmateriale and eventyelt individual components a and / ellertigenmateriale andwhere applicable, the individual components a and / or b thereof [P] . DK132739C . 1976-07-12

  机译： 提取人癌胚抗原的方法和提取人癌胚抗原物质和and的单独成分a和//杀卵原物质，以及在适用的情况下，其单独成分a和/或b

• 4. approach to extraction of human carcinoembryonisk antigenmateriale and possibly the components a and / or b thereof. [P] . DK138357B . 1978-08-21

  机译： 提取人癌胚抗原物质及其成分a和/或b的方法。

• 5. process for the purification of human carcinoembryonisk antigen. [P] . DK133559C . 1977-02-21

  机译： 人癌胚抗原的纯化方法。

• 1. Optimization of Extraction Process for Antioxidant Active Components in Seeds of Firmiana platanifolia [J] . Lehong ZHANG, Jing LI, Jing LIU, 药用植物：英文版 . 2019,第005期
• 2. Study on Extraction of Effective Aroma Components from Formula Tobacco by the Supercritical CO2 Extraction Method and Its Aroma Composition [J] . Shoujie NIE, Guangyu MENG, Shoutao CAO, 农业生物技术：英文版 . 2020,第005期
• 3. Applications of adaptive principal components extraction algorithm in the feature extraction of human face [C] . Gan Jun-ying, Zhang You-wei, Mao Shi-yi Intelligent Multimedia, Video and Speech Processing, 2001. Proceedings of 2001 International Symposium on . 2001
• 4. Extraction of bio-active components from fruit and vegetable processing wastes: Using grape waste from the wine processing industry as a model. [D] . Vasan, Akhila. 2009
• 5. Impact of Processing and Extraction on the Minor Components of Green Spanish-Style Gordal Table Olive Fat as Assessed by Innovative Approaches [O] . Antonio López-López, Amparo Cortés-Delgado, Antonio Garrido-Fernández 2020
• 6. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

• 1. Component Content Soft-sensor Based on Neural Networks in Rare-earth Countercurrent Extraction Process [J] . YANG Hui ,CHAI Tian-You . 自动化学报 . 2006,第4期
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• 3. Processing of Laser Scanner Data and Extraction of Structure Lines Using Methods of the Image Processing [J] . SUI Li-chun . 测绘学报 . 2004,第001期
• 4. 静注人免疫球蛋白(pH4)中未知组分的生物质谱研究 [C] . WANG Hong ,汪泓 ,YIN Hong-rui . 2015年生物技术药物理化特性分析与质量研究技术研讨会 . 2015
• 5. 人参水提物对MPP<'+>诱导的SH-SY5Y细胞凋亡的保护机制及其可能物质基础研究 [A] . 胡胜全 . 2008