Sea Change

Chris Tachibana

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Sea Change

机译：海变

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In 2006 and 2007, systems biologist Lone Gram sailed the seven seas—returning with a boatload of bacteria. Gram, a professor at the Technical University of Denmark (DTU), was a member of Galathea 3, a round-the-world research expedition that used a rebuilt Danish naval vessel as its mother ship. Her team took microbial samples from "anything that was brought on board—seaweed, sediment, deepwater sponges, Arctic ice fish..."

机译：在2006年和2007年，系统生物学家隆·格兰姆（Lone Gram）乘着一船细菌回到了七个海洋。丹麦技术大学（DTU）的教授格拉姆（Gram）是Galathea 3的成员，Galathea 3是一项全球研究探险活动，以重建的丹麦海军舰船为母舰。她的团队从“船上带走的任何东西-海藻，沉积物，深水海绵，北极冰鱼……”中提取了微生物样品。

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《The Scientist》 |2013年第3期|17-18|共2页
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Chris Tachibana;
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2. Practice-Based Research Today: A Changing Primary Care Landscape Requires Changes in Practice-Based Research Network (PBRN) Research [J] . Nancy C. Elder Journal of the American Board of Family Medicine: JABFM . 2019,第5期

机译：今天实践的研究：改变初级保健景观需要改变实践的研究网络（PBRN）研究
3. Sea surface temperature change in the Black Sea under climate change: A simulation of the sea surface temperature up to 2100 [J] . Sakalli Abdulla, Basusta Nuri International Journal of Climatology: A Journal of the Royal Meteorological Society . 2018,第13期

机译：气候变化下黑海的海面温度变化：海面温度的模拟高达2100
4. Seasonal Changes in Microwave Sea Surface Temperature in the Labrador Sea and Its Relationship to Seasonal Changes in Ocean Surface Currents [C] . William J. Emery, Peter Brandt, Andreas Funk, IEEE International Geoscience and Remote Sensing Symposium . 2006

机译：拉布拉多海域微波海面温度的季节变化及其与海洋表面电流季节变化的关系
5. Rising Seas and the Changing Coastal Landscape: Modeling Land Change Pattern and Social Process to Quantify the Socio-Ecological Impacts of Sea Level Rise [D] . Smart, Lindsey Suzanne. 2019

机译：崛起的海洋和不断变化的沿海景观：建模土地改变模式和社会过程，量化海平面上升的社会生态影响
6. Scientometrics in a changing research landscape: Bibliometrics has become an integral part of research quality evaluation and has been changing the practice of research [O] . Lutz Bornmann, Loet Leydesdorff 2014

机译：不断变化的研究环境中的科学计量学：文献计量学已成为研究质量评估的组成部分并且正在改变研究实践
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

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