Getting Free Instant Access Freshdrop - the Domain Search Engine User Review
Total Page：16
File Type：pdf, Size：1020Kb
Load more
Recommended publications
-
Package 'Rwsearch'
Package ‘RWsearch’ May 29, 2019 Title Lazy Search in R Packages, Task Views, CRAN, the Web. All-in-One Download Description Search by keywords in R packages, task views, CRAN, the web and display the re- sults in console, txt, html or pdf pages. Download the whole documentation (html in- dex, pdf manual, vignettes, source code, etc) with a single instruction. Visualize the package de- pendencies. Several functions for task view maintenance and explo- ration of CRAN archive. Quick links to more than 70 web search engines. Lazy evaluation of non- standard content is available throughout the package and eases the use of many functions. Version 4.6 Date 2019-05-29 Depends R (>= 3.4.0) Imports brew, latexpdf, networkD3, sig, sos, XML Suggests ctv, cranly, findR, foghorn, knitr, pacman, pkgnet, rmarkdown License GPL-2 Maintainer Patrice Kiener <[email protected]> Author Patrice Kiener [aut, cre] (<https://orcid.org/0000-0002-0505-9920>) Encoding UTF-8 NeedsCompilation no LazyData false Language en-GB VignetteBuilder knitr RoxygenNote 6.1.1 Repository CRAN Date/Publication 2019-05-29 09:40:07 UTC R topics documented: RWsearch-package . .2 archivedb . .4 cnsc.............................................6 1 2 RWsearch-package crandb . .7 e_check . .9 funmaintext . 10 f_args . 11 f_pdf . 12 h_direct . 12 h_engine . 13 h_R ............................................. 17 h_ttp . 18 n_graph . 19 p_deps . 20 p_display . 21 p_down . 22 p_html . 24 p_inun . 25 p_table2pdf . 26 p_text2pdf . 28 s_crandb . 30 s_crandb_tvdb . 32 s_hs............................................. 34 s_sos . 35 s_tvdb . 36 tvdb............................................. 37 zcrandb . 38 ztvdb . 38 Index 40 RWsearch-package Package RWsearch Description Search by keywords in R packages, task views, CRAN, the web and display the results in console, txt, html or pdf pages. -
Pdf Manual, Vignettes, Source Code, Binaries) with a Single Instruc- Tion
Package ‘RWsearch’ June 5, 2021 Title Lazy Search in R Packages, Task Views, CRAN, the Web. All-in-One Download Description Search by keywords in R packages, task views, CRAN, the web and display the re- sults in the console or in txt, html or pdf files. Download the package documentation (html in- dex, README, NEWS, pdf manual, vignettes, source code, binaries) with a single instruc- tion. Visualize the package dependencies and CRAN checks. Compare the package versions, un- load and install the packages and their dependencies in a safe order. Ex- plore CRAN archives. Use the above functions for task view maintenance. Ac- cess web search engines from the console thanks to 80+ bookmarks. All functions accept stan- dard and non-standard evaluation. Version 4.9.3 Date 2021-06-05 Depends R (>= 3.4.0) Imports brew, latexpdf, networkD3, sig, sos, XML Suggests ctv, cranly, findR, foghorn, knitr, pacman, rmarkdown, xfun Author Patrice Kiener [aut, cre] (<https://orcid.org/0000-0002-0505-9920>) Maintainer Patrice Kiener <[email protected]> License GPL-2 Encoding UTF-8 LazyData false NeedsCompilation no Language en-GB VignetteBuilder knitr RoxygenNote 7.1.1 Repository CRAN Date/Publication 2021-06-05 13:20:08 UTC 1 2 RWsearch-package R topics documented: RWsearch-package . .2 archivedb . .5 checkdb . .7 cnsc.............................................8 crandb . .9 cranmirrors . 11 e_check . 11 funmaintext . 12 f_args . 13 f_pdf . 14 h_direct . 15 h_engine . 16 h_R ............................................. 20 h_ttp . 22 p_archive . 22 p_check . 23 p_deps . 25 p_display . 27 p_down . 28 p_graph . 30 p_html . 32 p_inst . 34 p_inun . 35 p_table2pdf . 36 p_text2pdf . 38 p_unload_all . -
The Impact of Artificial Intelligence on International Trade: Evidence from Google Neural Machine Translation
Journal of Technological Advancements Volume 1 • Issue 1 • Annually 2021 The Impact of Artificial Intelligence on International Trade: Evidence From Google Neural Machine Translation Christina Tay, Chinese Culture University, Taiwan ABSTRACT This paper investigates the impact of artificial intelligence on international trade. The authors use data on neural machine translation and search engines dominating domestic markets from 2016 to 2019, comprising 196 countries to test for their impact on international trade. Three variations of international trade are used: (1) manufacturing trade (sum of manufacturing exports and imports), (2) manufacturing export, and (3) manufacturing import. They cross-breed artificial intelligence theories with that of international economics. They find that artificial intelligence shows significant results at the 1% level for manufacturing trade, at the 10% level for manufacturing export, and at the 1% level for manufacturing import. They also find that as an increasing number of languages are introduced through neural machine learning, there is a decreased need to comprehend the language of another country, which in turn, has significant impact on all three variations of international trade. They also find that domestic search engines are increasingly dominating domestic and global market shares. KEywoRdS Artificial Intelligence Neural Machine Learning, Deep Learning, Domestic Search Engines, Economics, Google Translation, Gravity Model, International Trade, Neural Machine Translation, Search Engines 1. INTRODUCTIoN -
Open Source Intelligence Tools and Resources Handbook
OPEN SOURCE INTELLIGENCE TOOLS AND RESOURCES HANDBOOK 0 OPEN SOURCE INTELLIGENCE TOOLS AND RESOURCES HANDBOOK 2018 Aleksandra Bielska Natalie Anderson, Vytenis Benetis, Cristina Viehman 1 Foreword I am delighted to share the latest version of our OSINT Tools and Resources Handbook. This version is almost three times the size of the last public release in 2016. It reflects the changing intelligence needs of our clients in both the public and private sector, as well as the many areas we have been active in over the past two years. No list of OSINT tools is perfect, nor is it likely to be complete. Indeed, such is the pace of change that by the time you read this document some of our suggestions may have been surpassed or have ceased to exist. Regrettably, today's tool might also be tomorrow's vulnerability. To counter the first problem, we have included a list of toolkits provided by other OSINT practitioners working to improve the state-of-the-art. To manage the second, we recommend that all tools be tested in a secure computing environment whenever possible. Work on the next iteration of the Handbook has already begun. For now, I hope this version contributes to improving your efficiency and effectiveness as a researcher, analyst, investigator or general OSINT practitioner. Please feel free to share it with your colleagues. To encourage its broadest possible dissemination, we are publishing the Handbook under a Creative Commons CC BY License. I would like to end by thanking my colleagues at i-intelligence for their efforts in compiling the Handbook. -
UNITED STATES V. JULIAN PAUL ASSANGE
UNITED STATES v. JULIAN PAUL ASSANGE Clarification Statement of Christian Grothoff 1. I am Professor of Computer Science at the University of Applied Sciences in Bern. My main area of research is network security, including peer-to-peer networks and applied cryptography. I have a PhD from UCLA, was Assistant Professor at the University of Denver, and lead research groups in the area of network security at the Technical University of Munich and INRIA. 2. I was asked by the legal team of Julian Assange (Birnberg Peirce) to clarify some details about my previous statement to the court. 3. I have read Part 19 of the Criminal Procedure Rules relating to expert evidence and believe that my opinion is compliant with the rules. I understand that my duty as an expert witness is to try to help the court by providing objective analysis on matters within my expertise. 4. In points (11)-(14) I pointed out that the “xyz_z.gpg” file was publicly available via the file sharing system BitTorrent (for example in December via the well-known site https://thepiratebay.org/description.php?id=6040906) which due to its decentralized design makes it impossible for Wikileaks to limit its distribution. However, the file was available from multiple other sources, as anyone who downloaded it could easily republish the encrypted archive via other means. For example, https://twitter.com/p0bailey/status/13615673599070208 mentions that this archive was also downloadable via HTTP in December 2010. Thus, it was possible to download the encrypted archive from multiple sources independent of Wikileaks long before the disclosure of the passphrase in David Leigh’s book.