Red Electrica signs first blockchain syndicated loan

Alasdair Reilly

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Red Electrica signs first blockchain syndicated loan

机译：Red Electrica签署第一笔区块链银团贷款

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Spanish electricity grid operator red electrica de espana has signed the world's first blockchain-based syndicated loan. The €150m five-year line of credit, which will be used for general corporate purposes, was agreed with sole bookrunner BBVA, and BNP Poribas and MUFG.

机译：西班牙电网运营商Red Electrica de espana已签署全球首个基于区块链的银团贷款。唯一的账簿管理人BBVA，法国巴黎银行和法国三菱金融集团同意了1.5亿欧元的五年信贷额度，该信贷额度将用于一般公司用途。

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《International Financing Review》 |2018年第2259期|71-71|共1页
作者
Alasdair Reilly;
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3. Dongkuk Steel Signs Syndicated Loan to Borrow 500 Billion Won Necessary for Brazil Steel Plant Construction Project [J] . The Korea Metal Journal . 2012,第31a40期

机译：东国制钢签署银团贷款，向巴西钢铁厂建设项目借款5,000亿韩元
4. Institutional Investment in Syndicated Loans [C] . Pei Shao, Debarshi K. Nandy 2007 China International Conference in Finance . 2007

机译：银团贷款的机构投资
5. Syndicated loan lenders' impact on M&A acquirers' post merger operating performance and creditworthiness: Evidence in U.S. M&A deals from year 2005 to 2011 [D] . Huang, Jianning. 2015

机译：混合贷款贷款人对并购的影响员工的合并经营绩效和信誉：2005年至2011年的美国和一份交易中的证据
6. Using extended complexity theory to test SMEs’ adoption of Blockchain-based loan system [O] . Wei Sun, Alisher Tohirovich Dedahanov, Ho Young Shin, 2021

机译：使用扩展复杂性理论来测试中小企业采用区块链贷款系统
7. 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

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Red Electrica signs first blockchain syndicated loan

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