Altri libri che potrebbero interessarti

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  Nanotechnology

  IntroBooks Team

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  Nanotechnology is often referred as nanotech. In nanotechnology matters of atomic scale, molecular scale and supra-molecular scale are manipulated. According to the earliest description related to nanotechnology, it is referred that technological goal of nanotechnology is to manipulate atoms and molecule with precision. Such manipulation is done in order to fabricate macro scale products. Fabricating macro scale products is now developed as an individual stream of nanotechnology that is now referred as molecular nanotechnology. National nanotechnology initiative was the responsible for establish a detailed and generalized description of nanotechnology. According to description provided by national nanotechnology initiative, manipulation of matter that possesses at least one dimension size from 1 to 100 nanometers is known as nanotechnology. According to this definition quantum mechanical effects certainly have influences since the process is being conducted on an object that falls in quantum realm according to its scale. As soon as this fact was practically proved, the definition of nanotechnology completely changed. It was considered a research category rather than being just a technological goal. This newly formed category of research was unique from all the research and technologies that research and study about special properties possessed by matter since it was working on objects that were below the determined threshold for size. Now generally, plural forms such as nanotechnologies and nano scale technologies are referred as a wide range containing researches, applications and studies that hold a common trait of size. Billions of dollars are invested by government for researches related to nanotechnology since they possess variety of potential applications such as industrial and military applications. According to figures of AD 2012, following are major investments in nanotechnology researches by various countries:3.7 billion dollars by USA1.2 billion by European Union750 million by government of Japan 
  Being based on size, nanotechnology is a broad term. Many fields are included in nanotechnology as diverse such as:Surface scienceOrganic chemistryMolecular biologySemiconductor physicsMicro fabricationMolecular engineering 
  Researches associate with nanotechnology are equally diverse. There researches include a wide range from extensions of conventional device physics to molecular self assembly. These researches attempt to develop new materials with the use of dimensions. Material development in nanotechnology is based on non-scale platform. These developments are done in order to attain direct control of matter that is developed on atomic scale. 

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  A New Science of Life

  Rupert Sheldrake

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  **The fully revised edition of Rupert Sheldrake's controversial science classic, from the author of the bestselling Dogs That Know When Their Owners are Coming Home, celebrates its 40th anniversary in 2021!**
  
  After chemists crystallised a new chemical for the first time, it became easier and easier to crystallise in laboratories all over the world. After rats at Harvard first escaped from a new kind of water maze, successive generations learned quicker and quicker. Then rats in Melbourne, Australia learned yet faster. Rats with no trained ancestors shared in this improvement.
  
  Rupert Sheldrake sees these processes as examples of morphic resonance. Past forms and activities of organisms, he argues, influence organisms in the present through direct connections across time and space.Individual plants and animals both draw upon and contribute to the collective memory of their species.
  
  Sheldrake, now Director of the Perrott-Warwick Project supported by Trinity College, Cambridge, reinterprets the regularities of nature as being more like habits than immutable laws. Described as 'the best candidate for burning there has been for many years' by Nature on first publication, this updated edition will raise hackles and inspire curiosity in equal measure.

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  Book Series Increasing...

  Stefan Luckhaus

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  Book Series: "Increasing Productivity of Software Development":
  In software development, productivity is a measure of how much functionality can be developed in a given time and in compliance with specified quality criteria. If an increase in productivity succeeds, this increases the scope of the developed functionality and reduces the required time. Both features are desirable because software is the stuff innovations are made of. IT has
  changed almost all areas of life thanks to fundamental innovations. Our future will be dominated by virtualization and smart helpers, that is, devices equipped with intelligence. This makes software development a key competence. Today, for companies that develop software, productivity as well as time and quality, are critical success factors.
  
  By introducing standards and automation, productivity in software development has been demonstrably increased by a factor of 20. The reutilization of functional and technical components has already enabled measurements of a factor of 100. Such performance differences are only reproducible by measurements and the consistent use of measurement results within a management model
  designed for continuous optimization.
  
  Part 2:
  Management Model, Cost Estimation and KPI Improvement:
  
  This book describes a model based on three key performance indicators:
  productivity (measured using the measurement methods described in the first book), cost and quality. It explains their cyclical collection, analytical evaluation and indicators that lead to improvement measures in important areas of influence. In order to be able to assess the benefits of the measures in advance, it provides empirical values as well as a method for calculating their effectiveness. The model described above serves as a navigation tool for the management, enabling them to constantly view both direction and speed of its key performance indicators.

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  Meteorology; or Weather Explained

  J. G. M'Pherson

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  Weather Explained: Fog, clouds, rain, haze, thunder, cyclones, dew point and how to count dust motes are just a few of the 35 topics covered in short, easy to read and understand chapters in this book published in 1905. (Summary by phil chenevert)

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  Learn Python - A Crash Course On...

  Damon Parker

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  Python programming language has rendered itself as the language of choice for coding beginners and advanced software programmers alike.  
  This book is written to help you master the basic concepts of Python coding and how you can utilize your coding skills to analyze a large volume of data and uncover valuable information that can otherwise be easily lost in the volume. Python was designed primarily to emphasize readability of the programming code, and its syntax enables programmers to convey ideas using fewer lines of code. Python programming language increases the speed of operation while allowing for higher efficiency in creating system integrations.  
  Some of the highlights of the audiobook include: 
  ● Step by step instructions on how to install Python on your operating systems (Windows, Mac, and Linux). 
  ● Learn how to create Python variables and assign desired data type to them. 
  ● Basic concepts of writing efficient and effective Python codes, focusing on various programming elements such as Booleans, Tuples, Sets, Dictionaries, and much more. 
  ● Learn the basic concepts of big data analysis and machine learning algorithms. 
  ● Brief overview of various renowned machine learning libraries such as Scikit-Learn, NumPy, SciPy, and more. 
  All the concepts are explained with standard Python coding syntax supported with relevant examples and followed by exercises to help you test and verify your understanding of those concepts. Finally, as an added bonus you will learn some Python tips and tricks to take your machine learning programming game to the next level. 
  Don't you think it can be that easy? If you really want to have proof of all this, don't waste any more time! 
  Grab your copy now!

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  Two Trains Leave Paris - Number...

  Taylor Frey, Mike Wesolowski

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  Entertaining word problems that let verbal types master the language of math! 
   
  Math is a universal language, but it’s also the least understood and most undervalued subject taught in school. Two Trains Leave Paris: Number Problems for Word People offers an opportunity to experience math like never before.  
   
  You must use the Pythagorean Theorem to figure out how far apart two ex-lovers are when they simultaneously realize that they cannot live without each other. You must use addition (and logic) to explore the ridiculous (and patriarchal!) wage gap. Throughout six math-themed chapters, readers will follow a series of characters as they apply for jobs, fall in love, get abducted by aliens, and experience many of life’s other big and small moments, all of which are dictated by—you guessed it—math!  
   
  With the help of humor, mathematical history, and how-to-solve sections, Two Trains Leave Paris asks readers to help its characters find growth in the most unexpected of places: word problems. And the answers are, of course, in the back.

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