Abuse filter log

Details for log entry 138,179

14:45, 8 April 2020: UlrichGlossop03 (talk | contribs) triggered filter 0, performing the action "edit" on User:UlrichGlossop03. Actions taken: Warn; Filter description: (examine)

Changes made in edit

Action parameters

Variable	Value
Name of the user account `(user_name)`	'UlrichGlossop03'
Age of the user account `(user_age)`	1
Groups (including implicit) the user is in `(user_groups)`	[ 0 => '*', 1 => 'user', 2 => 'autoconfirmed' ]
Page ID `(page_id)`	0
Page namespace `(page_namespace)`	2
Page title (without namespace) `(page_title)`	'UlrichGlossop03'
Full page title `(page_prefixedtitle)`	'User:UlrichGlossop03'
Action `(action)`	'edit'
Edit summary/reason `(summary)`	''
Old content model `(old_content_model)`	''
New content model `(new_content_model)`	'wikitext'
Old page wikitext, before the edit `(old_wikitext)`	''
New page wikitext, after the edit `(new_wikitext)`	'As anticipated, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another cost technique that will change intermediaries with cryptographic strategies and ought to be embedded in the analysis areas of SIGeBIZ and SIGSEC. On this paper we propose to remedy this problem through the use of the strategies originally developed for [https://www.vox.com/users/estellegrant https://www.vox.com/] the computer-aided evaluation for hardware and software programs, particularly those based on the timed automata. On this paper we introduce a device to study and [https://schultz29martinsen.webgarden.at/kategorien/schultz29martinsen-s-blog/ot-bitcoin-tops-10k-seen-as schultz29martinsen.webgarden.at] analyze the UTXO set, together with a detailed description of the set format and functionality. This paper supplies an evaluation of the current state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every part you want to be able to separate fact from fiction when studying claims about Bitcoin and other cryptocurrencies. We present the time-various contribution ui(t) of the first six base networks on figure 2. Generally, ui(t) options just a few abrupt modifications, partitioning the history of Bitcoin into separate time durations. In the initial section is excessive, fluctuating round (see Fig. 5), probably a results of transactions happening between addresses belonging to some fanatics making an attempt out the Bitcoin system by moving cash between their own addresses.<br><br>My web-site :: [https://gogenie.co.nz/author/schultz23bruun/ gogenie.co.nz]'
Old page size `(old_size)`	0
All external links added in the edit `(added_links)`	[ 0 => 'https://www.vox.com/users/estellegrant', 1 => 'https://schultz29martinsen.webgarden.at/kategorien/schultz29martinsen-s-blog/ot-bitcoin-tops-10k-seen-as', 2 => 'https://gogenie.co.nz/author/schultz23bruun/' ]
All external links in the new text `(all_links)`	[ 0 => 'https://www.vox.com/users/estellegrant', 1 => 'https://schultz29martinsen.webgarden.at/kategorien/schultz29martinsen-s-blog/ot-bitcoin-tops-10k-seen-as', 2 => 'https://gogenie.co.nz/author/schultz23bruun/' ]
Links in the page, before the edit `(old_links)`	[]
Unix timestamp of change `(timestamp)`	1586357131


			As anticipated, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another cost technique that will change intermediaries with cryptographic strategies and ought to be embedded in the analysis areas of SIGeBIZ and SIGSEC. On this paper we propose to remedy this problem through the use of the strategies originally developed for [https://www.vox.com/users/estellegrant https://www.vox.com/] the computer-aided evaluation for hardware and software programs, particularly those based on the timed automata. On this paper we introduce a device to study and [https://schultz29martinsen.webgarden.at/kategorien/schultz29martinsen-s-blog/ot-bitcoin-tops-10k-seen-as schultz29martinsen.webgarden.at] analyze the UTXO set, together with a detailed description of the set format and functionality. This paper supplies an evaluation of the current state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every part you want to be able to separate fact from fiction when studying claims about Bitcoin and other cryptocurrencies. We present the time-various contribution ui(t) of the first six base networks on figure 2. Generally, ui(t) options just a few abrupt modifications, partitioning the history of Bitcoin into separate time durations. In the initial section is excessive, fluctuating round (see Fig. 5), probably a results of transactions happening between addresses belonging to some fanatics making an attempt out the Bitcoin system by moving cash between their own addresses.<br><br>My web-site :: [https://gogenie.co.nz/author/schultz23bruun/ gogenie.co.nz]