Key Members Sign On To House Version of Magnitsky Legislation

Jutta Hennig

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Key Members Sign On To House Version of Magnitsky Legislation

机译：主要成员签署马格尼茨基立法的内部版本

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A bipartisan group of 15 House lawmakers, including key members of the Ways and Means and Foreign Affairs committees, has signed on to a bill introduced last week that would target human rights abusers in Russia. Passage of such a bill is widely seen as a key requirement before Congress can move forward with a vote that would enable the president to grant Russia permanent most-favored nation (MFN) trading status.

机译：由15名众议院议员组成的由两党组成的小组，包括“方式与手段”委员会和外交事务委员会的主要成员，已经签署了上周提出的一项针对俄罗斯人权滥用者的法案。人们普遍认为，通过这项法案是在国会进行投票以使总统能够授予俄罗斯永久最惠国（MFN）贸易地位之前的一项关键要求。

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《Inside U.S. Trade》 |2012年第17期|共2页
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Jutta Hennig;
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中图分类世界各国国内贸易经济;
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入库时间 2022-08-18 10:31:35

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1. Key Members Sign On To House Version of Magnitsky Legislation [J] . Jutta Hennig Inside U.S. Trade . 2012,第17期

机译：主要成员签署马格尼茨基立法的内部版本
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6. Improving the user experience of patient versions of clinical guidelines: user testing of a Scottish Intercollegiate Guideline Network (SIGN) patient version [O] . Naomi Fearns, Karen Graham, Gordon Johnston, 2016

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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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Key Members Sign On To House Version of Magnitsky Legislation

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