Abuse filter log

Details for log entry 143,180

09:26, 23 May 2020: LeiaGeary3503 (talk | contribs) triggered filter 0, performing the action "edit" on User:LeiaGeary3503. Actions taken: Warn; Filter description: (examine)

Changes made in edit

Action parameters

Variable	Value
Name of the user account `(user_name)`	'LeiaGeary3503'
Age of the user account `(user_age)`	434
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)`	'LeiaGeary3503'
Full page title `(page_prefixedtitle)`	'User:LeiaGeary3503'
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 expected, the non-linear deep studying strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another fee method that may replace intermediaries with cryptographic strategies and ought to be embedded in the analysis areas of SIGeBIZ and SIGSEC. In this paper we propose to treatment this problem through the use of the strategies originally developed for the computer-aided evaluation for hardware and software programs, particularly these primarily based on the timed automata. On this paper we introduce a software to check and analyze the UTXO set, [http://anunciosyanuncios.es/author/fischerhoward3/ anunciosyanuncios.es] together with an in depth description of the set format and performance. This paper offers an assessment of the current state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know all the things you want to be able to separate fact from fiction when studying claims about Bitcoin and different cryptocurrencies. We present the time-various contribution ui(t) of the primary six base networks on figure 2. Typically, ui(t) options a few abrupt changes, partitioning the history of Bitcoin into separate time intervals. Within the preliminary section is high, fluctuating around (see Fig. 5), possibly a results of transactions happening between addresses belonging to a couple fanatics making an attempt out the Bitcoin system by shifting money between their own addresses.<br><br>Feel free to surf to my blog post [http://pinchunimshah.com/story.php?title=9700-mark-around-%E2%82%AC-8130 pinchunimshah.com]'
Old page size `(old_size)`	0
All external links added in the edit `(added_links)`	[ 0 => 'http://anunciosyanuncios.es/author/fischerhoward3/', 1 => 'http://pinchunimshah.com/story.php?title=9700-mark-around-%E2%82%AC-8130' ]
All external links in the new text `(all_links)`	[ 0 => 'http://anunciosyanuncios.es/author/fischerhoward3/', 1 => 'http://pinchunimshah.com/story.php?title=9700-mark-around-%E2%82%AC-8130' ]
Links in the page, before the edit `(old_links)`	[]
Unix timestamp of change `(timestamp)`	1590218786


			As expected, the non-linear deep studying strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another fee method that may replace intermediaries with cryptographic strategies and ought to be embedded in the analysis areas of SIGeBIZ and SIGSEC. In this paper we propose to treatment this problem through the use of the strategies originally developed for the computer-aided evaluation for hardware and software programs, particularly these primarily based on the timed automata. On this paper we introduce a software to check and analyze the UTXO set, [http://anunciosyanuncios.es/author/fischerhoward3/ anunciosyanuncios.es] together with an in depth description of the set format and performance. This paper offers an assessment of the current state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know all the things you want to be able to separate fact from fiction when studying claims about Bitcoin and different cryptocurrencies. We present the time-various contribution ui(t) of the primary six base networks on figure 2. Typically, ui(t) options a few abrupt changes, partitioning the history of Bitcoin into separate time intervals. Within the preliminary section is high, fluctuating around (see Fig. 5), possibly a results of transactions happening between addresses belonging to a couple fanatics making an attempt out the Bitcoin system by shifting money between their own addresses.<br><br>Feel free to surf to my blog post [http://pinchunimshah.com/story.php?title=9700-mark-around-%E2%82%AC-8130 pinchunimshah.com]