Abuse filter log

Details for log entry 138,521

18:33, 11 April 2020: YSZWendi556288 (talk | contribs) triggered filter 0, performing the action "edit" on User:YSZWendi556288. Actions taken: Warn; Filter description: (examine)

Changes made in edit

Action parameters

Variable	Value
Name of the user account `(user_name)`	'YSZWendi556288'
Age of the user account `(user_age)`	4805
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)`	'YSZWendi556288'
Full page title `(page_prefixedtitle)`	'User:YSZWendi556288'
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 learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternative cost method that may replace intermediaries with cryptographic methods and must be embedded in the analysis areas of SIGeBIZ and SIGSEC. On this paper we suggest to remedy this problem through the use of the strategies originally developed for the pc-aided evaluation for hardware and software program systems, specifically those based on the timed automata. In this paper we introduce a tool to review and analyze the UTXO set, along with a detailed description of the set format and functionality. This paper provides an evaluation of the current state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and [https://gamble80valenzuela.doodlekit.com/blog/entry/7739194/steven-seagal-is-fined-314k-for-not-disclosing-bitcoin-endorsement Bitcoin]. After this course, you’ll know every thing you want to be able to separate reality from fiction when reading claims about Bitcoin and different cryptocurrencies. We show the time-various contribution ui(t) of the first six base networks on figure 2. Generally, ui(t) options a number of abrupt modifications, partitioning the history of Bitcoin into separate time intervals. In the preliminary section is high, fluctuating round (see Fig. 5), presumably a result of transactions happening between addresses belonging to a couple fanatics trying out the Bitcoin system by moving money between their own addresses.<br><br>Here is my web site [https://justpaste.it/6mz7c https://justpaste.it/6mz7c]'
Old page size `(old_size)`	0
All external links added in the edit `(added_links)`	[ 0 => 'https://gamble80valenzuela.doodlekit.com/blog/entry/7739194/steven-seagal-is-fined-314k-for-not-disclosing-bitcoin-endorsement', 1 => 'https://justpaste.it/6mz7c' ]
All external links in the new text `(all_links)`	[ 0 => 'https://gamble80valenzuela.doodlekit.com/blog/entry/7739194/steven-seagal-is-fined-314k-for-not-disclosing-bitcoin-endorsement', 1 => 'https://justpaste.it/6mz7c' ]
Links in the page, before the edit `(old_links)`	[]
Unix timestamp of change `(timestamp)`	1586629992


			As expected, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternative cost method that may replace intermediaries with cryptographic methods and must be embedded in the analysis areas of SIGeBIZ and SIGSEC. On this paper we suggest to remedy this problem through the use of the strategies originally developed for the pc-aided evaluation for hardware and software program systems, specifically those based on the timed automata. In this paper we introduce a tool to review and analyze the UTXO set, along with a detailed description of the set format and functionality. This paper provides an evaluation of the current state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and [https://gamble80valenzuela.doodlekit.com/blog/entry/7739194/steven-seagal-is-fined-314k-for-not-disclosing-bitcoin-endorsement Bitcoin]. After this course, you’ll know every thing you want to be able to separate reality from fiction when reading claims about Bitcoin and different cryptocurrencies. We show the time-various contribution ui(t) of the first six base networks on figure 2. Generally, ui(t) options a number of abrupt modifications, partitioning the history of Bitcoin into separate time intervals. In the preliminary section is high, fluctuating round (see Fig. 5), presumably a result of transactions happening between addresses belonging to a couple fanatics trying out the Bitcoin system by moving money between their own addresses.<br><br>Here is my web site [https://justpaste.it/6mz7c https://justpaste.it/6mz7c]