Abuse filter log

Details for log entry 137,525

09:42, 30 March 2020: Lettie0440 (talk | contribs) triggered filter 0, performing the action "edit" on User:Lettie0440. Actions taken: Warn; Filter description: (examine)

Changes made in edit

Action parameters

Variable	Value
Name of the user account `(user_name)`	'Lettie0440'
Age of the user account `(user_age)`	2
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)`	'Lettie0440'
Full page title `(page_prefixedtitle)`	'User:Lettie0440'
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 studying strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternative fee methodology that may replace intermediaries with cryptographic methods and needs to be embedded in the research areas of SIGeBIZ and SIGSEC. On this paper we suggest to treatment this downside through the use of the strategies originally developed for the computer-aided analysis for hardware and software program programs, in particular these based mostly on the timed automata. In this paper we introduce a tool to review and analyze the UTXO set, along with an in depth description of the set format and functionality. This paper gives an evaluation of the present state of the literature. This systematic literature review examines cryptocurrencies (CCs) and [http://sophiaspooner39.wikidot.com/blog:1 bitcoin superstar betrug]. After this course, you’ll know everything you want to have the ability to separate truth from fiction when studying claims about Bitcoin and other cryptocurrencies. We show the time-varying contribution ui(t) of the primary six base networks on determine 2. Typically, ui(t) features a few abrupt modifications, partitioning the historical past of Bitcoin into separate time intervals. Within the initial section is high, fluctuating around (see Fig. 5), presumably a result of transactions taking place between addresses belonging to a couple enthusiasts attempting out the Bitcoin system by transferring cash between their own addresses.<br><br>my web page: [https://domingodacomb6.hatenablog.com/entry/2020/01/09/184723 ktionen ausführt]'
Old page size `(old_size)`	0
All external links added in the edit `(added_links)`	[ 0 => 'http://sophiaspooner39.wikidot.com/blog:1', 1 => 'https://domingodacomb6.hatenablog.com/entry/2020/01/09/184723' ]
All external links in the new text `(all_links)`	[ 0 => 'http://sophiaspooner39.wikidot.com/blog:1', 1 => 'https://domingodacomb6.hatenablog.com/entry/2020/01/09/184723' ]
Links in the page, before the edit `(old_links)`	[]
Unix timestamp of change `(timestamp)`	1585561338


			As anticipated, the non-linear deep studying strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternative fee methodology that may replace intermediaries with cryptographic methods and needs to be embedded in the research areas of SIGeBIZ and SIGSEC. On this paper we suggest to treatment this downside through the use of the strategies originally developed for the computer-aided analysis for hardware and software program programs, in particular these based mostly on the timed automata. In this paper we introduce a tool to review and analyze the UTXO set, along with an in depth description of the set format and functionality. This paper gives an evaluation of the present state of the literature. This systematic literature review examines cryptocurrencies (CCs) and [http://sophiaspooner39.wikidot.com/blog:1 bitcoin superstar betrug]. After this course, you’ll know everything you want to have the ability to separate truth from fiction when studying claims about Bitcoin and other cryptocurrencies. We show the time-varying contribution ui(t) of the primary six base networks on determine 2. Typically, ui(t) features a few abrupt modifications, partitioning the historical past of Bitcoin into separate time intervals. Within the initial section is high, fluctuating around (see Fig. 5), presumably a result of transactions taking place between addresses belonging to a couple enthusiasts attempting out the Bitcoin system by transferring cash between their own addresses.<br><br>my web page: [https://domingodacomb6.hatenablog.com/entry/2020/01/09/184723 ktionen ausführt]