Java Generics FAQs - Frequently Asked Questions All text and content found at URLs starting with (collectively, "the Java Generics FAQ") are the sole property of Angelika Langer. Copyright @ 2004-2021 by Angelika Langer . All rights reserved. Except as specifically granted below, you may not modify, copy, publish, sell, display, transmit (in any form, or by any means, electronic, mechanical, photocopying, recording, or otherwise), adapt, distribute, store in a retrieval system, create derivative works, or in any other way use or exploit the contents of the Java Generics FAQ, without the prior consent of the author. All rights, titles and interest, including copyrights and other applicable intellectual property rights, in any of the material belongs to the provider of the material. You do not acquire proprietary interest in such materials by accessing them on my web site. In particular, I do NOT grant permission to copy the Java Generics FAQ or any part of it to a public Web server.
Laboratory Equipment Neutron star Neutron stars contain 500,000 times the mass of the Earth in a sphere with a diameter no larger than that of Brooklyn, United States A neutron star is a type of stellar remnant that can result from the gravitational collapse of a massive star during a Type II, Type Ib or Type Ic supernova event. Neutron stars are the densest and tiniest stars known to exist in the universe; although having only the diameter of about 10 km (6 mi), they may have a mass of several times that of the Sun. Neutron stars probably appear white to the naked eye. Neutron stars are the end points of stars whose inert core's mass after nuclear burning is greater than the Chandrasekhar limit for white dwarfs, but whose mass is not great enough to overcome the neutron degeneracy pressure to become black holes. The discovery of pulsars in 1967 suggested that neutron stars exist. Neutron star collision Formation[edit] Properties[edit] Gravitational light deflection at a neutron star. Given current values Structure[edit]
Multi-Agent Transport Simulation | MATSim Optics, Lasers, Imaging & Fiber Information Resource Neutron Stars - Introduction Neutron stars are compact objects that are created in the cores of massive stars during supernova explosions. The core of the star collapses, and crushes together every proton with a corresponding electron turning each electron-proton pair into a neutron. The neutrons, however, can often stop the collapse and remain as a neutron star. Neutron stars are fascinating objects because they are the most dense objects known. Like their less massive counterparts, white dwarfs, the heavier a neutron star gets the smaller it gets. Neutron stars can be observed occasionally, as with Puppis A above, as an extremely small and hot star within a supernova remnant.
Ten 100-year predictions that came true 11 January 2012Last updated at 00:09 By Tom Geoghegan BBC News Magazine John Watkins predicted Americans would be taller, tanks would exist and C, X and Q would no longer feature in our everyday alphabet In 1900, an American civil engineer called John Elfreth Watkins made a number of predictions about what the world would be like in 2000. How did he do? As is customary at the start of a new year, the media have been full of predictions about what may happen in the months ahead. But a much longer forecast made in 1900 by a relatively unknown engineer has been recirculating in the past few days. In December of that year, at the start of the 20th Century, John Elfreth Watkins wrote a piece published on page eight of an American women's magazine, Ladies' Home Journal, entitled What May Happen in the Next Hundred Years. Watkins was a writer for the Journal's sister magazine, the Saturday Evening Post, based in Indianapolis. It was picked up and caused some excitement on Twitter. 1. 2. 3. 4. 5. 6.
The Society of Vacuum Coaters Einstein for Everyone Einstein for Everyone Nullarbor Press 2007revisions 2008, 2010, 2011, 2012, 2013 Copyright 2007, 2008, 2010, 2011, 2012, 2013 John D. All Rights Reserved John D. An advanced sequel is planned in this series:Einstein for Almost Everyone 2 4 6 8 9 7 5 3 1 ePrinted in the United States of America no trees were harmed web*bookTM This book is a continuing work in progress. January 1, 2015. Preface For over a decade I have taught an introductory, undergraduate class, "Einstein for Everyone," at the University of Pittsburgh to anyone interested enough to walk through door. With each new offering of the course, I had the chance to find out what content worked and which of my ever so clever pedagogical inventions were failures. At the same time, my lecture notes have evolved. Its content reflects the fact that my interest lies in history and philosophy of science and that I teach in a Department of History and Philosophy of Science. This text owes a lot to many. i i i
Is radix sort faster than quicksort for integer arrays? discussion at reddit There are plenty of misconceptions and confusion over radix sort on the internet. The wikipedia article is messy and unclear, and focuses more on trying to explain the philosophy (for lack of a better word) than the characteristics and capabilities of radix sort. American Flag Sort Worst case performance: O(kN) Worst case space complexity: O(k log N) In Engineering radix sort McIlroy et al. discusses how radix sort can be used successfully to sort arrays of strings, using the American Flag Sort variant. Implementation The implementation proved to be surprisingly simple. “The troubles with radix sort are inimplementation, not in conception” - McIlroy et al. (1993) The complexity is O(kN) with k = 4 for 32-bit integers. It's important to note that complexity analysis of e.g. quicksort assumes that each comparison is O(1), which isn't true in practice on real hardware nor correct in theory when considering variable sized elements. Benchmark sort Hardware: Language options:
Proteomics - LC Sciences – Technologies for Genomics and Proteomics Discoveries Our proteomics products and services include the use of custom synthesized peptide microarrays based on the PepArray™ technology which enables the total customization of content on each individual microarray to suit your needs. The technology allows us to synthesize thousands of custom peptides (sequences can be defined to each single amino acid residue) on an addressable array to act as kinase substrates, antibody epitopes, or protein binding ligands. We can perform enzymatic/binding reactions in a high-throughput format and generate quantitative results in a controllable, enclosed environment with minimal sample usage. Kinase Profiling Microarray Service A comprehensive kinase analysis service utilizing high density protein kinase substrate (PKS) peptide microarrays synthesized on PepArray™ microfluidic chips for proteomic scale kinase profiling, quantitative measurement of kinase kinetic activities in the absence or presence of protein kinase inhibitors, and drug discovery research.