Form 540 2008: Fill & Download for Free

Paul Ehrlich[1] (Nobel Laureate: 1908) developed the concept of Magic Bullet. For staining any bacteria, we use different dyes. Basic dyes bind the surface of the bacteria. Magic Bullet is referred to the dyes which bind selectively to the pathogen without harming the human cells.Here a source about Paul Ehrlich from Magic bullet (medicine) - WikipediaEhrlich joined the Institute of Experimental Therapy (Institut für experimentelle Therapie) at Frankfurt am Main, Germany, in 1899, becoming the director of its research institute the Georg–Speyer Haus in 1906. Here his research focused on testing arsenical dyes for killing microbes. Arsenic was an infamous poison, and his attempt was criticised. He was publicly lampooned as an imaginary "Dr Phantasus".But Ehrlich's rationale was that the chemical structure called side chain forms antibodies that bind to toxins (such as pathogens and their products); similarly, chemical dyes such as arsenic compounds could also produce such side chains to kill the same microbes. This led him to propose a new concept called "side-chain theory". (He later, in 1900, revised his concept as "receptor theory".) Based on his new theory, he postulated that in order to kill microbes, "wir müssen chemisch zielen lernen" ("we have to learn how to aim chemically"). His institute was convenient as it was adjacent to a dye factory.Examples of Magic Bullet:Trypan Red: It binds the Trypanosomes which cause African sleeping sickness. It was first discovered by Kiyoshi Shiga[2]and Paul Ehrlich.Prontosil Red: It is used for staining leather. However, when injected into the mice, it protected the mice completely against pathogenic staphylococci and Streptococci.All the dyes are commonly having sulfur and are structurally similar. Sulfonamide/ sulfa drugs were discovered by Gerhard Domagk[3].Reference and Suggested Readings:Schwartz, R.S., 2004. Paul Ehrlich's magic bullets. New England Journal of Medicine, 350(11), pp.1079-1080.Strebhardt, K. and Ullrich, A., 2008. Paul Ehrlich's magic bullet concept: 100 years of progress. Nature Reviews Cancer, 8(6), pp.473-480.Winau, F., Westphal, O. and Winau, R., 2004. Paul Ehrlich—in search of the magic bullet. Microbes and Infection, 6(8), pp.786-789.Witkop, B., 1999. Paul Ehrlich and his magic bullets, revisited. Proceedings of the American Philosophical Society, 143(4), pp.540-557.Ehrlich, P., 2010. man with the magic bullet. Singapore Med J, 51(11), p.842.Bosch, F. and Rosich, L., 2008. The contributions of Paul Ehrlich to pharmacology: a tribute on the occasion of the centenary of his Nobel Prize. Pharmacology, 82(3), pp.171-179.Magic bullet (medicine) - WikipediaFootnotes[1] Paul Ehrlich - Wikipedia[2] Kiyoshi Shiga - Wikipedia[3] Gerhard Domagk - Wikipedia

Below is the detailed description of the contents of the dataset Microsoft Academic Graph - 2015/11/06This latest dataset has changes in the files as told be microsoft below> Added new papers published since 8/20> Improved paper conflation> Conference series stream renamed to simply conferencesThe dataset is available at Microsoft Academic Graph - 2015/11/06Below are the contents of the dataset. The data is availabe in the form of zip files. There are in all 12 zip files each containing specific huge dataset of topcs as the zip file name suggests.Size File name303.4K Affiliations.zip1.4G Authors.zip3.5M ConferenceInstances.zip30.7K Conferences.zip725.7K FieldsOfStudy.zip380.0K Journals.zip27.7G MicrosoftAcademicGraph.zip4.0G PaperAuthorAffiliations.zip1.7G PaperKeywords.zip6.9G PaperReferences.zip5.3G PaperUrls.zip8.4G Papers.zipNow MicrosoftAcademicGraph.zip contains all the <topic>.txt files together. However since the size of the file is very large, hence Microsoft has given separate zip files for each of the file in MicrosoftAcademicGraph.zip. This is done in order to enable the download of dataset in partsEach zip file also contains 3 files -1. <topicname>.txt2. license.txt3. readme.txtfiles 2 and 3 above are same in all the zip files.In the readme file the structure of the data is given in the form of file and columns in each file. I've pasted the readme file below for details of each file. Also included are a couple of sample lines of each file to get an idea of dataset and get a glimpse.All the text files have data columns seperated by tab.#########################################################################################File#Column number Column description#Sample Lines:########################################################################################Affiliations1 Affiliation ID2 Affiliation nameSample Lines:0011EAC4 university of southern california00321B8C thomas college00431A5E woman s medical college of pennsylvania########################################################################################Authors1 Author ID2 Author nameSample Lines:000006D2 franck barillaud00004783 bo ekehammar00005BFC william s davidsonii00007120 erik sadolin0034D844 久三郎 広島M0034F31C edoardo grebloM########################################################################################ConferenceSeries1 Conference series ID2 Short name (abbreviation)3 Full nameSample Lines:4333BBB9 AISM Australian Information Security Management Conference439E92D8 DAIS Distributed Applications and Interoperable Systems43CD1EFB ADBIS Advances in Databases and Information Systems43FD0CAC ICCL International Conference on Computational Logistics44195980 ATMOS Algorithmic Approaches for Transportation Modeling, Optimization, and Systems44250E28 IROS Intelligent RObots and Systems########################################################################################ConferenceInstances1 Conference series ID2 Conference instance ID3 Short name (abbreviation)4 Full name5 Location6 Official conference URL7 Conference start date8 Conference end date9 Conference abstract registration date10 Conference submission deadline date11 Conference notification due date12 Conference final version due dateSample Lines:42C7B402 07426D09 WSDM 2012 WSDM 2012 : WSDM - International Conference on Web Search and Data Mining Seattle, WA Web Search and Data Mining (WSDM) 2012 2012/02/08 2012/02/12 2011/08/04 2011/08/11 2011/10/2642CCC198 26400783 HiPEAC 2015 HiPEAC 2015 - 10th International Conference on High Performance and Embedded Architectures and Compilers (HiPEAC'2015) Amsterdam, Netherlands - Kingdom of the Netherlands HiPEAC 2015 Conference 2015/01/19 2015/01/21 2014/06/0142CCF5DE 0A971F98 ISLPED 2011 ISLPED 2011 : International Symposium on Low Power Electronics and Design Fukuoka, Japan ISLPED '16 2011/08/01 2011/08/03 2011/03/0742D4CF15 248DD0F5 ICTAC 2015 ICTAC 2015 : 12th International Colloquium on Theoretical Aspects of Computing Cali, Colombia ICTAC 2015: 12th International Colloquium on Theoretical Aspects of Computing, Cali - Colombia 2015/10/29 2015/10/31 2015/06/01 2015/06/05 2015/07/20 2015/08/03430D9705 02E32230 ISSTA 2013 ISSTA 2013 : International Symposium on Software Testing and Analysis Lugano, Switzerland http://issta2013.inf.usi.ch/ 2013/07/15 2013/07/20 2013/01/25 2013/05/06 2013/05/31433DEF3A 2621D84E ICCAD 2014 ICCAD 2014 : International Conference on Computer Aided Design San Jose 2014/11/03 2014/11/06 2014/04/07 2014/04/14########################################################################################FieldsOfStudy1 Field of study ID2 Field of study nameSample Lines:0000109A Sign function0000A73C Partition00047B8D Step detection0004C188 Time complexity0006D35F Index case001469B0 Facilitation########################################################################################Journals1 Journal ID2 Journal nameSample Lines:03680F2F The Economist085C135E Journal of Biological Chemistry09256644 Urban Geography02918BD4 Genome Research06EDDA42 Circulation########################################################################################Papers1 Paper ID2 Original paper title3 Normalized paper title4 Paper publish year5 Paper publish date6 Paper Document Object Identifier (DOI)7 Original venue name8 Normalized venue name9 Journal ID mapped to venue name10 Conference series ID mapped to venue name11 Paper rankSample Lines:02670325 Incremental self-improvement for life-time multi-agent reinforcement learning incremental self improvement for life time multi agent reinforcement learning 1996 Simulation of Adaptive Behavior sab 42B9FC1C 165155BE761FA Adaptive Generation of Dilemma-based Interactive Narratives adaptive generation of dilemma based interactive narratives 2007 2007 10.1007/978-3-540-72705-7_2 Simulation of Adaptive Behavior sab 42B9FC1C 1950904501F2C Synthetic social relationships in animated virtual characters synthetic social relationships in animated virtual characters 2002 2002/09/24 Simulation of Adaptive Behavior sab 42B9FC1C 195515A32C194 Second Order Conditioning in the Sub-cortical Nuclei of the Limbic System second order conditioning in the sub cortical nuclei of the limbic system 2008 2008/07/07 10.1007/978-3-540-69134-1_19 Simulation of Adaptive Behavior sab 42B9FC1C 1959614214326 An activation based behaviour control architecture for walking machines an activation based behaviour control architecture for walking machines 2002 2002/09/24 Simulation of Adaptive Behavior sab 42B9FC1C 17382########################################################################################PaperAuthorAffiliations1 Paper ID2 Author ID3 Affiliation ID4 Original affiliation name5 Normalized affiliation name6 Author sequence numberSample Lines:5C126CA8 6E38ECD7 04728696 Quest Diagnostics, Nichols Institute, San Juan Capistrano, California quest diagnostics 159C6BAB0 6E492111 04728696 Quest Diagnostics Nichols Institute, San Juan Capistrano, CA 92690, USA quest diagnostics 125862F7C3 6DC9E200 04728696 Quest Diagnostics, 3 Giralda Farms, Madison, NJ, United States of America quest diagnostics 310D629BE 6FA73AE9 04728696 Quest Diagnostics, Alameda and San Juan Capistrano quest diagnostics 35A7C26B4 6FC77945 04728696 AmeriPath/Quest Diagnostics Dallas Texas quest diagnostics 1########################################################################################PaperKeywords1 Paper ID2 Keyword name3 Field of study ID mapped to keywordSample Lines:000001EB rectal cancer 1F666B5A00000412 chemistry 0B0FEB68000006E3 qualitative study 0B56F5FA00000F4B production system 07E221DB0000135C planning 05A01F3D########################################################################################PaperReferences1 Paper ID2 Paper reference IDSample Lines:000000A3 619CE22C000000A3 6CD617A90000011D 6B5946B40000013A 588A4926000001F8 5B521D2E########################################################################################PaperUrls1 Paper ID2 URLSample Lines:42B7F30A Study on Expression of HERG Protein in A549 Cell and Their Clinical Significance5FE67EEF Experimental and computer simulation studies of centered optical systems5FE67EEF Experimental and computer simulation studies of centered optical systems5FE67EEF Experimental and computer simulation studies of centered optical systems01DF4956 Radio: Radio San Sebastián

I noticed that you have since changed the premises of your question, probably because someone criticized your wording. Alas; I liked your original premises.QE1, QE2 and QE3 have certainly affected stock prices.With QE1 the Fed bought up practically everything. It saved the sellers from almost certain financial doom.During QE2 (Q4 2011 to Q2 2012) the Fed purchased $660 billion of U.S. government bonds in 7 months or so. This was about half of the total amount of bonds issued by the government in all of 2012.Similarly with QE3 (Q4 2012 to present) the Fed purchased $540 billion of Treasurys ($45 billion x 12 months) in 2013, or approximately 60% of total Treasury issuance for the year. The Fed also bought $480 billion of mortgages.These QE bond purchases gave the sellers a huge amount of cash—more than $3 trillion over five years. Where do you think that money went?Some made its way back to the real economy in the form of newly underwritten loans to private borrowers. But that by and large wasn't until later on. The banks had just been through the trauma of making lots of bad loans and were afraid to lend toward real estate—commercial or residential. They were scared to lend to businesses, too.I remember early on in the QE process everyone was complaining that banks and other large financial institutions were hoarding their newly received cash. I don't believe they were just hoarding it. They put it to work in the markets.Almost immediately from the start of QE1 in November 2008, market participants began to comprehend the consequences of all this "money printing". Historically money printing has led to inflation, so reflexively everyone bought gold and other commodities. Fund managers as well as Main Street investors—thought gold could go nowhere but up. Gold began QE1 at $800 an ounce. By the end of QE2 it reached a peak of $1,900. The huge surge was no coincidence.The gold bubble popped after the end of QE2 as people started to realize how stupid it is to own gold. We then saw huge flows out of gold and into stocks beginning with the launch of QE3. The S&P 500 subsequently rose 33% in 2013 while gold declined 28%.THIS LONG HISTORY LESSON IS NECESSARY because it shows that QE has given lots of extra money to market participants. When market participants receive money they invest it. These participants are human. They have emotions such as greed and envy. The more cash you give them, the richer they become, and they throw caution to the wind. They might buy Bitcoins. They might buy Internet stocks at 100x sales. They might buy rental properties. Nobody ever holds cash anymore because that can't possibly make you rich. And after a year like 2013 everybody who's rich wants to be more rich. And everyone who isn't rich wants to be rich.MY PREDICTION TO TAPERINGIf the Fed goes from buying $85 billion of securities monthly to zero purchases monthly, attitudes will change. Investors will be more cautious because there isn't a steady stream of cash to supply another round of speculation.This doesn't mean that people will stop speculating and that the markets will crash. But it does mean that we will see fewer charts going parabolic.It is safer now to be a short seller than at any point in the previous 5 years. Already in 2014 almost all of our money has been made on the short side and special situations (one arbitrage).I'm waiting for money to flood into something new so we can buy right before it takes off. But I don't see anything.I'm also voting with my feet with my personal finances outside of the fund. I sold my house in December, right before tapering was to begin. I really don't see how prices could go significantly higher from here.I will revisit this post next year.