Yara Signs Agreement with Gazprom Securing Gas for Le Havre Facility

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Yara Signs Agreement with Gazprom Securing Gas for Le Havre Facility

机译：Yara与俄罗斯天然气工业股份公司签署协议，为勒阿弗尔工厂确保天然气安全

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Oslo-Yara has signed an agreement with Gazprom for the supply of natural gas to Yara's site in Le Havre,France.Terms of the agreement were not disclosed."The deal with Gazprom represents Yara's first direct purchase of Russian gas,"noted Hallgeir Storvik,Yara's head of Supply & Trade."It enables us to source gas more competitively and flexibly in Europe."

机译：奥斯陆-雅拉（Oslo-Yara）已与俄罗斯天然气工业股份公司（Gazprom）签署了向雅拉（法国）勒阿弗尔（Le Havre）基地供应天然气的协议。 Yara的供应与贸易负责人。“它使我们能够在欧洲更具竞争力和灵活性地采购天然气。”

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《PetroChemical News》 |2007年第9期|共1页
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中图分类石油、天然气加工工业;
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1. Yara Signs Agreement with Gazprom Securing Gas for Le Havre Facility [J] . PetroChemical News Group PetroChemical News . 2007,第9期

机译：Yara与俄罗斯天然气工业股份公司签署协议，为勒阿弗尔工厂确保天然气安全
2. Yara inks gas supply agreement with Gazprom [J] . Nitrogen + Syngas Group nitrogen + syngas . 2007,第286期

机译：亚拉与俄罗斯天然气工业股份公司签署天然气供应协议
3. Gazprom secures 20-year agreement for Tamar gas [J] . Zeus liquefied natural gas report Group Zeus liquefied natural gas report . 2013,第4期

机译：俄罗斯天然气工业股份公司获得添马舰天然气20年协议
4. Advanced Amine Process Technology Operations and Results from Demonstration Facility at EDF Le Havre [C] . Barath Baburao, Steve Bedell, Paula Restrepo International Conference on Greenhouse Gas Control Technologies . 2015

机译：高级胺流程技术运营和结果来自Edf Le Havre的演示设施
5. The delicate balance: Gazprom and Russia's competing and complementary roles in 21st century international relations. [D] . Francis, David. 2009

机译：微妙的平衡：俄罗斯天然气工业股份公司与俄罗斯在21世纪国际关系中的竞争和互补作用。
6. Catheter securement systems: comparison of two investigational devices to a sutureless securement device a securement dressing and sutures in a pig model [O] . Laura F. Rutledge, Daniel P. DeCabooter, Shelley-Ann H. Walters, 2015

机译：导管固定系统：将两个研究装置与无缝合固定装置固定敷料和猪模型中的缝合线进行比较
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

机译：摘要的各个身体部位或器官可被分析以识别在人体内的不同的疾病。指甲分析来识别人体疾病的方法之一。指甲是身体一部分是离心脏最远，因此在最后接受氧气。作为结果，指甲是第一谁表现出人体疾病的症状。指甲可以容易地捕获用于诊断和没有重装或需要使用指甲图像用于疾病诊断，比如在其他测试和扫描过程没有特定的条件。人的指甲提供有关投诉或取决于它们的形状，纹理和色彩在人体内的任何营养失衡有益的信息。在人类中，许多全身性皮肤疾病是可以很容易地通过两个四肢指甲的仔细检查分析。很多指甲病已发现众多潜在系统性疾病的主要症状。在指甲的颜色，质地和形状的变化是许多疾病主要影响指甲的迹象。考虑到所有的指甲的这些性能的系统被提出，用于识别人指甲这样的变化以获得更精确的结果，并毫不费力预测许多疾病用途的数字图像处理（DIP）方法。随着物联网（IOT）的概念，新兴的互联网将生成的报告提供远程，这将帮助用户降低运输工作。由于系统必须处理大量的私人数据，数据的安全性必须得到保证。为了保持数据的机密性，使用Blockchain的概念，它是在数据管理领域的大多数新兴的概念之一。本文包含了数字图像处理的指甲图像，IOT（ThingSpeak云）的使用为数据存储和执行Blockchain的特征提取的执行，以保持固定的系统和盗窃免费。关键词：诠释薄GS（IOT），图像的ERNET PROC essin克，薄型gSpeak，RG乙vavalues，平均数PI XEL vavalues，阵营kchain，哈希密钥。疾病诊断系统：在人类指甲异常

Yara Signs Agreement with Gazprom Securing Gas for Le Havre Facility

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