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What does FUN look like today in the #ComoxValley? Top 200 words from 60+
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hanspetermeyer.ca
A partire dal 14 Giugno 2008, il sito technoburger.net/ è passato da più di 600 visite al giorno da Google a poco più di 200.
La situazione è tornata alla normalità a partire dal 7 Luglio 2008, quasi un mese dopo, in seguito alla riacquisizione del Trustrank.
La STREAMLAB ANALYTICAL WORKCELL puede conectar varios sistemas DIEMENSION, ADVIA CENTAUR, IMMULITE o SYSMEX CA-7000 mediante una sola estación de trabajo y cuenta con funciones pre y postanalíticas automatizadas.
解析天文学：河外星系与视外星系
周坚/2013年9月26日
解析天文学（Analytic Astronomy），又称为坐标天文学（Coordinate Astronomy），是使用代数方法进行研究的天文学，2008年6月29日发现的周坚定律就是它的理论基础，2009年3月8日创立的解析宇宙学（著作权登记证号是：2009-A-020687）的解析观点促成了它的提出。那么，解析天文学能够为我们带来什么呢？就让我们通过具体的实际应用来回答这个问题吧
当我们看到这幅编号为ZHOU-Jian-2013037，称之为“相对观测者观测的河外星系与视外星系的内在联系”星图的时候，请意识到这是一个天文学发展的具有里程碑意义的历史性事件，它告诉我们，在宇宙任何空间位置上的观测者对宇宙进行观测，都存在一个以观测者为球心的球半径为13,771,980,862.5685光年（137.72亿光年）的宇宙视界（类似浓雾中的观察视界），在这个宇宙视界之内的星系称之为河外星系，反之，在这个宇宙视界之外的星系就称之为视外星系。
哈哈，我们第一次在宇宙视界之外“看到”了星系，具体来说就是在相对我们13,771,980,862.5685光年（137.72亿光年）之外的星空已经“看到”星系的存在，虽然受光（电磁辐射）极限传播特性的限制，这让我们不能直接看到它们，但当我们地球人将来总有一天发展成为能够在宇宙深空中自由翱翔的宇宙人（也就是我们常说的外星人）之后，我们就能够通过运动向它们靠拢，只要这些视外星系进入到我们的宇宙视界之内（类似在浓雾中的物体进入到观测者的观察视界之内一样），它们就成为我们能够观测到的河外星系，同样道理，就在我们进行宇宙穿梭的时候，那些背离我们而去的河外星系也会从我们的宇宙视界之内逐步退到之外（类似在浓雾中的物体从观测者的观察视界之内逐步退到之外一样），由此成为视外星系。
总之，无论是观测者的运动，还是星系的运动，确定它们是河外星系还是视外星系，就看它们是否处在相对观测者观测的宇宙视界之内或之外了。
或许我们还需要证据，观测的证据，说实在的，笔者是个业余研究者，他不可能有如此的财力物力去提供，现在只能默默地期待天文学家们给予观测来提供。目前最好的观测证据就来自美国宇航局的威尔金森微波各向异性探测器（WMAP）和欧洲太空局普朗克卫星拍摄的宇宙微波背景辐射全天图，我们从中再仔细研究研究就会发现其中的奥秘所在。遗憾的是，遗憾的是目前我们用大爆炸宇宙学理论来解读它，如此就让我们坠入一片“乌云”之中，就像一个无头苍蝇一样，东碰碰，西撞撞。哎，这让我们只能在那里抓着一根即将断裂的绳子干着急，干着急呀，谁也救不了我们，只有靠我们自己，但不知为啥我们就是不肯去抓近在咫尺的那个非常结实的天梯——解析天文学，要知道笔者的精力是有限的，如果放弃这个如此好的理论，那真是悲哀呀，悲哀，如果真是那样，从某种意义上来讲，那真是一种犯罪，犯罪，为此笔者在有生之年尽力而为，鞠躬尽瘁死而后已。
【在示意图中提到的常用公式请查阅解析天文学常用公式一览表（ZHOU-Jian-2013024），2013年8月13日发布】
【Analytic Astronomy, also known coordinate astronomy, is to use algebraic methods to study astronomy, June 29, 2008 discovered ZHOU Jian's law is its theoretical foundation, March 8, 2009 founded the analytic cosmology (copyright registration number is :2009-A-020687) contributed to the analytical point of view it's made.So, it brought us what? Let us through specific practical application to answer this question now.】
Asistentes del The Monday Reading Club Murcia sobre Web Analítica 2.0 de Avinash Kaushik.
Foto, gracias a www.flickr.com/people/victorsoriano @vicsoriano
Analytics visits chart that I used to illustrate my article on Using Google Analytics for Local Search Optimization.
I think what bothers me about this gun is the similarity to the Heckler and Koch MP5, but otherwise it does excellent corrosive damage. And why am I posting pictures of high-level guns? I think it may have something to do with the fact that I only have two days of school left.
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Big Data Analytics in the Marine Industry
Big Data Analytics is a process in which a very large group of data is collected, organized, and analyzed so that hidden patterns and useful information can be discovered.
In other words, Big Data Analytics is a process in which large data sets are examined so that the organization can get hidden patterns, market trends, customer preferences, and other useful information.
In today's digital age, competition is fierce in various industries, including the marine industry, and companies are constantly investing in solutions that can help them increase productivity while reducing overall costs. As a result, the demand for advanced solutions such as Big Data Analytics in maritime industry among commercial shippers and other end users is growing at an impressive rate.
Big Data Analytics in maritime industry, big data is used to control onboard sensors and perform predictive analysis to avoid delays and improve efficiency. Advanced decision-making through big data analytics is being actively implemented to avoid and predict additional costs and can be used throughout the life of the ship.
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The U.S. Department of Veterans Affairs held an Analytics Summit in Crystal City, Va., from June 29 through July 1, 2015. VA invited industry leaders and innovative minds from academia and across the public and private sectors to discuss how to collaborate to continuously yield accurate and actionable data-driven observations, leveraging information to improve VA’s products and services, and engagement with Veterans.
(ROBERT TURTIL/U.S. Department of Veterans Affairs)