Freeware Top 30
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
ACS – the Archival Cytometry Standard
http://flowcyt.sf.net/acs/latest.pdf ACS – the Archival Cytometry Standard Archival Cytometry Standard ACS International Society for Advancement of Cytometry Candidate Recommendation DRAFT Document Status The Archival Cytometry Standard (ACS) has undergone several revisions since its initial development in June 2007. The current proposal is an ISAC Candidate Recommendation Draft. It is assumed, however not guaranteed, that significant features and design aspects will remain unchanged for the final version of the Recommendation. This specification has been formally tested to comply with the W3C XML schema version 1.0 specification but no position is taken with respect to whether a particular software implementing this specification performs according to medical or other valid regulations. The work may be used under the terms of the Creative Commons Attribution-ShareAlike 3.0 Unported license. You are free to share (copy, distribute and transmit), and adapt the work under the conditions specified at http://creativecommons.org/licenses/by-sa/3.0/legalcode. Disclaimer of Liability The International Society for Advancement of Cytometry (ISAC) disclaims liability for any injury, harm, or other damage of any nature whatsoever, to persons or property, whether direct, indirect, consequential or compensatory, directly or indirectly resulting from publication, use of, or reliance on this Specification, and users of this Specification, as a condition of use, forever release ISAC from such liability and waive all claims against ISAC that may in any manner arise out of such liability. ISAC further disclaims all warranties, whether express, implied or statutory, and makes no assurances as to the accuracy or completeness of any information published in the Specification. -
PDF-Xchange Viewer
PDF-XChange Viewer © 2001-2011 Tracker Software Products Ltd North/South America, Australia, Asia: Tracker Software Products (Canada) Ltd., PO Box 79 Chemainus, BC V0R 1K0, Canada Sales & Admin Tel: Canada (+00) 1-250-324-1621 Fax: Canada (+00) 1-250-324-1623 European Office: 7 Beech Gardens Crawley Down., RH10 4JB Sussex, United Kingdom Sales Tel: +44 (0) 20 8555 1122 Fax: +001 250-324-1623 http://www.tracker-software.com [email protected] Support: [email protected] Support Forums: http://www.tracker-software.com/forum/ ©2001-2011 TRACKER SOFTWARE PRODUCTS II PDF-XChange Viewer v2.5x Table of Contents INTRODUCTION...................................................................................................... 7 IMPORTANT! FREE vs. PRO version ............................................................................................... 8 What Version Am I Running? ............................................................................................................................. 9 Safety Feature .................................................................................................................................................. 10 Notice! ......................................................................................................................................... 10 Files List ....................................................................................................................................... 10 Latest (available) Release Notes ................................................................................................. -
Comunicado 23 Técnico
Comunicado 23 ISSN 1415-2118 Abril, 2007 Técnico Campinas, SP Armazenagem e transporte de arquivos extensos André Luiz dos Santos Furtado Fernando Antônio de Pádua Paim Resumo O crescimento no volume de informações transportadas por um mesmo indivíduo ou por uma equipe é uma tendência mundial e a cada dia somos confrontados com mídias de maior capacidade de armazenamento de dados. O objetivo desse comunicado é explorar algumas possibilidades destinadas a permitir a divisão e o transporte de arquivos de grande volume. Neste comunicado, tutoriais para o Winrar, 7-zip, ALZip, programas destinados a compactação de arquivos, são apresentados. É descrita a utilização do Hjsplit, software livre, que permite a divisão de arquivos. Adicionalmente, são apresentados dois sites, o rapidshare e o mediafire, destinados ao compartilhamento e à hospedagem de arquivos. 1. Introdução O crescimento no volume de informações transportadas por um mesmo indivíduo ou por uma equipe é uma tendência mundial. No início da década de 90, mesmo nos países desenvolvidos, um computador com capacidade de armazenamento de 12 GB era inovador. As fitas magnéticas foram substituídas a partir do anos 50, quando a IBM lançou o primogenitor dos atuais discos rígidos, o RAMAC Computer, com a capacidade de 5 MB, pesando aproximadamente uma tonelada (ESTADO DE SÃO PAULO, 2006; PCWORLD, 2006) (Figs. 1 e 2). Figura 1 - Transporte do disco rígido do RAMAC Computer criado pela IBM em 1956, com a capacidade de 5 MB. 2 Figura 2 - Sala de operação do RAMAC Computer. Após três décadas, os primeiros computadores pessoais possuíam discos rígidos com capacidade significativamente superior ao RAMAC, algo em torno de 10 MB, consumiam menos energia, custavam menos e, obviamente, tinham uma massa que não alcançava 100 quilogramas. -
Lookeen Desktop Search
Lookeen Desktop Search Find your files faster! User Benefits Save time by simultaneously searching for documents on your hard drive, in file servers and the network. Lookeen can also search Outlook archives, the Exchange Search with fast and reliable Server and Public Folders. Advanced filters and wildcard options make search more Lookeen technology powerful. With Lookeen you’ll turn ‘search’ into ‘find’. You’ll be able to manage and organize large amounts of data efficiently. Employees will save valuable time usually Find your information in record spent searching to work on more important tasks. time thanks to real-time indexing Lookeen desktop search can also Search your desktop, Outlook be integrated into Outlook The search tool for Windows files and Exchange folders 10, 8, 7 and Vista simultaneously Ctrl+Ctrl is back: instantly launch Edit and save changes to Lookeen from documents in Lookeen preview anywhere on your desktop Save and re-use favorite queries and access them with short keys View all correspondence with individuals or groups at the push of a button Create one-click summaries of email correspondences Start saving time and money immediately For Companies Features Business Edition Desktop search software compatible with Powerful search in virtual environments like Compatible with standard and virtual Windows 10, 8, 7 and Vista Citrix and VMware desktops like Citrix, VMware and Terminal Servers. Simplified roll out through exten- Optional add-in to Microsoft Outlook 2016, Simple, user friendly interface gives users a sive group directives and ADM files. 2013, 2010, 2007 or 2003 and Office 365 unified view over multiple data sources Automatic indexing of all files on the hard Clear presentation of search results drive, network, file servers, Outlook PST/OST- Enterprise Edition Full fidelity preview option archives, Public Folders and the Exchange Scans additional external indexes. -
Towards the Ontology Web Search Engine
TOWARDS THE ONTOLOGY WEB SEARCH ENGINE Olegs Verhodubs [email protected] Abstract. The project of the Ontology Web Search Engine is presented in this paper. The main purpose of this paper is to develop such a project that can be easily implemented. Ontology Web Search Engine is software to look for and index ontologies in the Web. OWL (Web Ontology Languages) ontologies are meant, and they are necessary for the functioning of the SWES (Semantic Web Expert System). SWES is an expert system that will use found ontologies from the Web, generating rules from them, and will supplement its knowledge base with these generated rules. It is expected that the SWES will serve as a universal expert system for the average user. Keywords: Ontology Web Search Engine, Search Engine, Crawler, Indexer, Semantic Web I. INTRODUCTION The technological development of the Web during the last few decades has provided us with more information than we can comprehend or manage effectively [1]. Typical uses of the Web involve seeking and making use of information, searching for and getting in touch with other people, reviewing catalogs of online stores and ordering products by filling out forms, and viewing adult material. Keyword-based search engines such as YAHOO, GOOGLE and others are the main tools for using the Web, and they provide with links to relevant pages in the Web. Despite improvements in search engine technology, the difficulties remain essentially the same [2]. Firstly, relevant pages, retrieved by search engines, are useless, if they are distributed among a large number of mildly relevant or irrelevant pages. -
Electronic Data Deliverables Reference Guide EPA Region 4
Electronic Data Deliverables Reference Guide Version 1.0 EPA Region 4 Prepared By: for Region 4 Superfund Division Environmental Protection Agency March 2010 DISCLAIMER OF ENDORSEMENT Reference herein to any specific commercial products, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government, and shall not be used for advertising or product endorsement purposes. STATUS OF DOCUMENT As of March 2010, this document and all contents contained herein are considered DRAFT and are subject to revision and subsequent republication. Ecological EDD specifications do not appear in this guidance as they are currently under development, and will appear in future addenda. CONTACTS For questions and comments, contact: Your RPM or, DART Coordinator Superfund Division, 11th Floor East United States Environmental Protection Agency, Region 4 Sam Nunn Atlanta Federal Center 61 Forsyth Street, SW Atlanta, GA 30303-8960 (404) 562-8558 [email protected] Acronyms CAS RN – Chemical Abstracts Service Registry Number DART – Data Archival and ReTrieval EDD – Electronic Data Deliverable EDP – EQuIS Data Processor EPA – Environmental Protection Agency O&M – Operation and Maintenance SESD – Science and Ecosystem Support Division SRS – Substance Registry System CLP – Contract Laboratory Program PRP – Potentially Responsible Party Definitions Darter - Darter is a set of software utilities written by EPA that assist in moving data from other platforms such as FORMS, Niton, YSI and Scribe to the Region 4 EDD format. Data Provider – It is important to distinguish between “Data Provider” and “Sample Provider” with regard to EDD submittals. -
An Activity Based Data Model for Desktop Querying (Extended Abstract)?
An activity based data model for desktop querying (Extended Abstract)? Sibel Adalı1 and Maria Luisa Sapino2 1 Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180, USA, [email protected], 2 Universit`adi Torino, Corso Svizzera, 185, I-10149 Torino, Italy [email protected] 1 Introduction With the introduction of a variety of desktop search systems by popular search engines as well as the Mac OS operating system, it is now possible to conduct keyword search across many types of documents. However, this type of search only helps the users locate a very specific piece of information that they are looking for. Furthermore, it is possible to locate this information only if the document contains some keywords and the user remembers the appropriate key- words. There are many cases where this may not be true especially for searches involving multimedia documents. However, a personal computer contains a rich set of associations that link files together. We argue that these associations can be used easily to answer more complex queries. For example, most files will have temporal and spatial information. Hence, files created at the same time or place may have relationships to each other. Similarly, files in the same directory or people addressed in the same email may be related to each other in some way. Furthermore, we can define a structure called “activities” that makes use of these associations to help user accomplish more complicated information needs. Intu- itively, we argue that a person uses a personal computer to store information relevant to various activities she or he is involved in. -
Www .Rz.Uni-Frankfurt.De
HochschulrechenzentrumHRZ HRZ-MITTEILUNGEN www.rz.uni-frankfurt.de Hochschulrechenzentrum eröffnet Service Center Riedberg Videokonferenzen Neue Lernplattform erfolgreich gestartet Besuch aus Bangkok HRZ Streaming-Server 25 Jahre RRZN-Handbücher Anmeldeformulare- wie Ihnen das HRZ bei der Veranstaltungsplanung helfen kann Bewährtes von der Sonnenseite des HRZ Thin Clients: SunRays Für Neueinsteiger Neues über SPSS Die Softwarefrage: ZIP-komprimierte Ordner Dienstleistungen des HRZ 11. Ausgabe, Wintersemster 2007/ 2008 2 Editorial/ Impressum Editorial Die im Zuge der Standort-Neuordnung unserer Universität erforderlichen Standortplanungen für das Hochschulrechenzentrum nehmen konkrete Formen an. Mit dem Auszug aus dem Juridicum („Mehrzweckgebäude“) wird die Abteilung Bibliotheksdatenverarbeitung in den Räumen der Universitätsbibliothek (noch im Campus Bockenheim) unterkommen, der Support für die Studierendenverwaltung sowie für die Universitätsverwaltung und auch das Druckzentrum werden im neu zu errichtenden Verwaltungsgebäude der Universität im Campus Westend Platz finden, und die Zentralen Dienste werden auf dem Campus Riedberg stationiert werden. Die Konzepte dazu, wie dieser Umzug mit möglichst geringen Ausfallzeiten der Kern-IT-Services stattfinden soll, sind erarbeitet. Sukzessive sind in den Jahren 2008 und 2009 die technischen Voraussetzungen zu schaffen, welche einen störungsarmen Umzug ermöglichen und gleichzeitig ein umfassend redundantes IT-System für künftige Ausfallsicherheit entstehen lassen. In den HRZ-Mitteilungen werden -
Peer Institution Research: Recommendations and Trends 2016
Peer Institution Research: Recommendations and Trends 2016 New Mexico State University Abstract This report evaluates the common technology services from New Mexico State University’s 15 peer institutions. Based on the findings, a summary of recommendations and trends are explained within each of the general areas researched: peer institution enrollment, technology fees, student computing, software, help desk services, classroom technology, equipment checkout and loan programs, committees and governing bodies on technology, student and faculty support, printing, emerging technologies and trends, homepage look & feel and ease of navigation, UNM and UTEP my.nmsu.edu comparison, top IT issues, and IT organization charts. Peer Institution Research 1 Table of Contents Peer Institution Enrollment ................................................................................. 3 Technology Fees ................................................................................................. 3 Student Computing ............................................................................................. 6 Software ............................................................................................................. 8 Help Desk Services .............................................................................................. 9 Classroom Technology ...................................................................................... 11 Equipment Checkout and Loan Programs ......................................................... -
Using Context to Enhance File Search
Connections: Using Context to Enhance File Search Craig A. N. Soules, Gregory R. Ganger Carnegie Mellon University ABSTRACT Attribute-based naming allows users to classify each file Connections is a file system search tool that combines tradi- with multiple attributes [9, 12, 37]. Once in place, these at- tional content-based search with context information gath- tributes provide additional paths to each file, helping users ered from user activity. By tracing file system calls, Con- locate their files. However, it is unrealistic and inappropri- nections can identify temporal relationships between files ate to require users to proactively provide accurate and use- and use them to expand and reorder traditional content ful classifications. To make these systems viable, they must search results. Doing so improves both recall (reducing false- automatically classify the user's files, and, in fact, this re- positives) and precision (reducing false-negatives). For ex- quirement has led most systems to employ search tools over ample, Connections improves the average recall (from 13% hierarchical file systems rather than change their underlying to 22%) and precision (from 23% to 29%) on the first ten methods of organization. results. When averaged across all recall levels, Connections The most prevalent automated classification method to- improves precision from 17% to 28%. Connections provides day is content analysis: examining the contents and path- these benefits with only modest increases in average query names of files to determine attributes that describe them. time (2 seconds), indexing time (23 seconds daily), and in- Systems using attribute-based naming, such as the Seman- dex size (under 1% of the user's data set). -
Dtsearch Desktop/Dtsearch Network Manual
dtSearch Desktop dtSearch Network Version 7 Copyright 1991-2021 dtSearch Corp. www.dtsearch.com SALES 1-800-483-4637 (301) 263-0731 Fax (301) 263-0781 [email protected] TECHNICAL (301) 263-0731 [email protected] 1 Table of Contents 1. Getting Started _____________________________________________________________ 1 Quick Start 1 Installing dtSearch on a Network 7 Automatic deployment of dtSearch on a Network 8 Command-Line Options 10 Keyboard Shortcuts 11 2. Indexes __________________________________________________________________ 13 What is a Document Index? 13 Creating an Index 13 Caching Documents and Text in an Index 14 Indexing Documents 15 Noise Words 17 Scheduling Index Updates 17 3. Indexing Web Sites _________________________________________________________ 19 Using the Spider to Index Web Sites 19 Spider Options 20 Spider Passwords 21 Login Capture 21 4. Sharing Indexes on a Network _________________________________________________ 23 Creating a Shared Index 23 Sharing Option Settings 23 Index Library Manager 24 Searching Using dtSearch Web 25 5. Working with Indexes _______________________________________________________ 27 Index Manager 27 Recognizing an Existing Index 27 Deleting an Index 27 Renaming an Index 27 Compressing an Index 27 Verifying an Index 27 List Index Contents 28 Merging Indexes 28 6. Searching for Documents _____________________________________________________ 29 Using the Search Dialog Box 29 Browse Words 31 More Search Options 32 Search History 33 i Table of Contents Searching for a List of Words 33 7. -
Comparison of Indexers
Comparison of indexers Beagle, JIndex, metaTracker, Strigi Michal Pryc, Xusheng Hou Sun Microsystems Ltd., Ireland November, 2006 Updated: December, 2006 Table of Contents 1. Introduction.............................................................................................................................................3 2. Indexers...................................................................................................................................................4 3. Test environment ....................................................................................................................................5 3.1 Machine............................................................................................................................................5 3.2 CPU..................................................................................................................................................5 3.3 RAM.................................................................................................................................................5 3.4 Disk..................................................................................................................................................5 3.5 Kernel...............................................................................................................................................5 3.6 GCC..................................................................................................................................................5