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Universitätsbibliothek | Freie Universität Berlin : Digitale Bibliothek - Service All The Web: News [Advanced Search] Die bekannten Stärken der Suchmaschine "All the Web" kommen auch bei der Suche nach "News" (Meldungen, News, Artikel, Postings usw.) zum Tragen: großer Suchindex (ca. 3.000(!) durchsuchte Nachrichtenquellen) kombiniert mit sehr differenzierten Suchmöglichkeiten (Sprachenfilter, Domainfilter, Alter der Quellen. Google News Die beliebte Internet-Suchmaschine "Google" bietet ebenfalls eine eigene Nachrichten-Seite an. Google News Archive Mit dem "News Archive" erweitert Google seine breite Produktpalette an Spezialsuchdiensten um ein Angebot zur Recherche in digitalen Nachrichten- und Pressearchiven. Google News Deutschland Der deutsche Ableger der "Google News" funktioniert nach demselben Prinzip wie sein amerikanisches Vorbild. HeadlineSpot IberoDigital

Using SPSS for Nominal Data (Binomial and Chi-Squared Tests) Using SPSS for Nominal Data:Binomial and Chi-Squared Tests This tutorial will show you how to use SPSS version 12.0 to perform binomial tests, Chi-squared test with one variable, and Chi-squared test of independence of categorical variables on nominally scaled data. This tutorial assumes that you have: Downloaded the standard class data set (click on the link and save the data file) Started SPSS (click on Start | All Programs | SPSS for Windows | SPSS 12.0 for Windows) Loaded the standard data set Binomial Test The binomial test is useful for determining if the proportion of people in one of two categories is different from a specified amount. SPSS assumes that the variable that specifies the category is numeric. As always, we will perform the basic steps in hypothesis testing: Write the hypotheses: H0: P = .5 H1: P ≠ .5 Where P is the proportion of people who selected cats.Determine if the hypotheses are one- or two-tailed. The output tells us that there are two groups: DOG and CAT.

Meta-Search Engines-The Library "Smarter" meta-searcher technology includes clustering and linguistic analysis that attempts to show you themes within results, and some fancy textual analysis and display that can help you dig deeply into a set of results. However, neither of these technologies is any better than the quality of the search engine databases they obtain results from. Few meta-searchers allow you to delve into the largest, most useful search engine databases. They tend to return results from smaller and/or free search engines and miscellaneous free directories, often small and highly commercial. Although we respect the potential of textual analysis and clustering technologies, we recommend directly searching individual search engines to get the most precise results, and using meta-searchers if you want to explore more broadly. The meta-search tools listed here are "use at your own risk." Better Meta-Searchers Meta-Search Engines for SERIOUS Deep Digging CSEs: Make Your Own Meta-Search Engine

SPSS, Tutorial, deutsch, Literatur zu SPSS, Tutorials, Dialogfelder, Dialogfeld, Flash Tutorial, Statistik, FU, Berlin, Informationen zu SPSS-Lizenzen SPSS-Tutorials (deutsch) Übersicht zu den vorhandenen Flash-Animationen Datenzugang: Aufbau einer Datendatei Datenimport über die ODBC-Schnittstelle Datenaufbereitung: Berechnen von Informationen Klassifizieren von Variablen über Umkodieren Umkodieren von Variablen Selektieren I - Vergleichsoperatoren Selektieren II - logische Operatoren Selektieren III - komplexe Bedingungen Datenanalyse: Deskriptive Statistik Testen I - Testen auf Unterschiede (t-Test unabh. Zum effektiven Umgang mit dem Programm: Editieren von Tabellen im Ausgabefenster Verwendung von Syntaxanweisungen Verwendung von Syntaxanweisungen - erweiterte Version SPSS und R - Installation und Nutzung SPSS und R mit Grafik - Demonstration der Anwendung Verwendung von Makros Verwendung von Skripten Datenzugang Tutorial zum Aufbau einer Datendatei (Flash-Animation) Tutorial zum Datenimport über die ODBC-Schnittstelle (Flash-Animation) Datenaufbereitung Tutorial zum Berechnen von Informationen (Flash-Animation) Datenanalyse Testen

List of People search engines This is a list of articles about search engines, including web search engines, selection-based search engines, metasearch engines, desktop search tools, and web portals and vertical market websites that have a search facility for online databases. By content/topic General P2P search engines Geographically limited scope Semantic Accountancy IFACnet Business Computers Enterprise Funnelback: Funnelback SearchJumper 2.0: Universal search powered by Enterprise bookmarkingOracle Corporation: Secure Enterprise Search 10gQ-Sensei: Q-Sensei EnterpriseTeraText: TeraText Suite Fashion Fashion Net Food/Recipes Genealogy family history search engine Mobile/Handheld Job Legal Medical News People Real estate / property Television TV Genius Video Games Wazap (Japan) By information type Search engines dedicated to a specific kind of information Forum Omgili Blog Multimedia Source code BitTorrent Cloud Search engines listed below find various types of files that have been stored in the cloud and made publicly available. Email

Elementary Concepts in Statistics In this introduction, we will briefly discuss those elementary statistical concepts that provide the necessary foundations for more specialized expertise in any area of statistical data analysis. The selected topics illustrate the basic assumptions of most statistical methods and/or have been demonstrated in research to be necessary components of our general understanding of the "quantitative nature" of reality (Nisbett, et al., 1987). We will focus mostly on the functional aspects of the concepts discussed and the presentation will be very short. Further information on each of the concepts can be found in statistical textbooks. Recommended introductory textbooks are: Kachigan (1986), and Runyon and Haber (1976); for a more advanced discussion of elementary theory and assumptions of statistics, see the classic books by Hays (1988), and Kendall and Stuart (1979). What are Variables? Variables are things that we measure, control, or manipulate in research. Correlational vs. Dependent vs.

Meta search engine | Mother of All Search Engines - PCR 1) Add the following to a microfuge tube: 10 ul reaction buffer 1 ul 15 uM forward primer 1 ul 15 uM reverse primer 1 ul template DNA 5 ul 2 mM dNTP 8 ul 25 mM MgCl2 or MgSO4 (volume variable) water (to make up to 100 ul) 2) Place tube in a thermocycler. 3) Start the PCR cycles according the following schemes: a) denaturation - 94 ° C, 30-90 sec. b) annealing - 55 °C (or -5° Tm), 0.5-2 min. c) extension - 72 °C, 1 min. repeat cycles 29 times 4) Add a final extension step of 5 min. to fill in any uncompleted polymerisation. Note: Most of the parameters can be varied to optimise the PCR (more at Tavi's PCR guide ): a) Mg ++ - one of the main variables - change the amount added if the PCR result is poor. b) Template DNA concentration - PCR is very powerful tool for DNA amplification therefore very little DNA is needed. c) Enzymes used - Taq DNA polymerase has a higher error rate (no proof-reading 3' to 5' exonuclease activity) than Tli or Pfu . h) Additives - i) PCR buffer 16.6 mM ammonium sulfate

Picollator - Web and Multimedia Search Engine Seq Anal Each gene has a specific sequence of nucleotides, commonly called its DNA sequence. Once we have cloned a gene into a plasmid we can determine the sequence of the DNA using the dideoxynucleotide method either manually or by using automated sequencers. To seqeunce DNA, the DNA is first denatured, producing a single stranded template. A specific primer is then added which binds to the template. One then subjects the gel to autoradiography (manual technique) or looks for fluorescent dyes (automated technique) to determine the location of each band. One of the cornerstones to the rapid advances in molecular biology and genome research is the ability to rapidly deal with very large DNA sequences using sophisticated programs and powerful computers. Click on either sequencing gel to the right to learn more about the steps involved in DNA sequencing.

Mobile search Market description[edit] "Competition for the US mobile search market promises to be fierce, thanks to the large US online ad market and strong pushes by portals. By 2011, mobile search will account for around $715 million, or almost 15% of a total mobile advertising market worth nearly $4.7 billion", according to a leading market research firm; eMarketer.[1] Depending on a researcher's particular bias toward telecom, Web or technology factors, the published forecasts for global mobile search vary from $1.5 billion by 2011 (from Informa Telecoms & Media) to over $11 billion by 2008 (according to Piper Jaffray).[2] Mobile search is important for the usability of mobile content for the same reasons as internet search engines became important to the usability of internet content. Early internet content was largely provided by portals such as Netscape. There is a similar situation developing in the mobile content industry. Beyond navigation is location-aware technology for mobile search.

Tutorial - BLAST - Workbench "The Basic Local Alignment Search Tool (BLAST) finds regions of local similarity between sequences. The program compares nucleotide or protein sequences to sequence databases and calculates the statistical significance of matches. BLAST can be used to infer functional and evolutionary relationships between sequences as well as help identify members of gene families" (quoted from the NCBI BLAST homepage). geWorkbench submits BLAST jobs to the NCBI server. NCBI-supported sequence databases and search algorithms can be selected in the user interface. Since release 2.1.0, geWorkbench supports almost all BLAST setting options available through the NCBI web interface. Please note that although, in geWorkbench, we have adopted the default settings for each BLAST algorithm as seen on the NCBI website, those settings are subject to change at any time by NCBI. The BLAST analysis is available when a protein or DNA sequence is loaded and selected in the Workspace. Older help pages... Prerequisites

MyMemory - Machine translation meets human translation