Abuse filter log

Details for log entry 137,568

02:58, 31 March 2020: RochellePuckett (talk | contribs) triggered filter 0, performing the action "edit" on User:RochellePuckett. Actions taken: Warn; Filter description: (examine)

Changes made in edit

Action parameters

Variable	Value
Name of the user account `(user_name)`	'RochellePuckett'
Age of the user account `(user_age)`	5034
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)`	'RochellePuckett'
Full page title `(page_prefixedtitle)`	'User:RochellePuckett'
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 methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate cost technique that may substitute intermediaries with cryptographic strategies and must be embedded in the research areas of SIGeBIZ and SIGSEC. On this paper we propose to treatment this problem through the use of the strategies initially developed for the computer-aided analysis for hardware and software program systems, in particular these based mostly on the timed automata. On this paper we introduce a instrument to review and analyze the UTXO set, along with a detailed description of the set format and functionality. This paper supplies an evaluation of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and [http://shaboxes.com/author/potter14burns/ Bitcoin]. After this course, you’ll know the whole lot you want to be able to separate truth from fiction when reading claims about Bitcoin and other cryptocurrencies. We show the time-varying contribution ui(t) of the first six base networks on determine 2. Usually, ui(t) options a couple of abrupt changes, partitioning the history of [https://leslie68leslie.webgarden.cz/rubriky/leslie68leslie-s-blog/cryptocurrency-adoption-all-over Bitcoin] into separate time intervals. Within the preliminary section is excessive, fluctuating round (see Fig. 5), possibly a results of transactions happening between addresses belonging to some lovers trying out the Bitcoin system by transferring money between their very own addresses.<br><br>Visit my page :: [http://www.googoclassifieds.com/user/profile/191488 googoclassifieds.com]'
Old page size `(old_size)`	0
All external links added in the edit `(added_links)`	[ 0 => 'http://shaboxes.com/author/potter14burns/', 1 => 'https://leslie68leslie.webgarden.cz/rubriky/leslie68leslie-s-blog/cryptocurrency-adoption-all-over', 2 => 'http://www.googoclassifieds.com/user/profile/191488' ]
All external links in the new text `(all_links)`	[ 0 => 'http://shaboxes.com/author/potter14burns/', 1 => 'https://leslie68leslie.webgarden.cz/rubriky/leslie68leslie-s-blog/cryptocurrency-adoption-all-over', 2 => 'http://www.googoclassifieds.com/user/profile/191488' ]
Links in the page, before the edit `(old_links)`	[]
Unix timestamp of change `(timestamp)`	1585623533


			As expected, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate cost technique that may substitute intermediaries with cryptographic strategies and must be embedded in the research areas of SIGeBIZ and SIGSEC. On this paper we propose to treatment this problem through the use of the strategies initially developed for the computer-aided analysis for hardware and software program systems, in particular these based mostly on the timed automata. On this paper we introduce a instrument to review and analyze the UTXO set, along with a detailed description of the set format and functionality. This paper supplies an evaluation of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and [http://shaboxes.com/author/potter14burns/ Bitcoin]. After this course, you’ll know the whole lot you want to be able to separate truth from fiction when reading claims about Bitcoin and other cryptocurrencies. We show the time-varying contribution ui(t) of the first six base networks on determine 2. Usually, ui(t) options a couple of abrupt changes, partitioning the history of [https://leslie68leslie.webgarden.cz/rubriky/leslie68leslie-s-blog/cryptocurrency-adoption-all-over Bitcoin] into separate time intervals. Within the preliminary section is excessive, fluctuating round (see Fig. 5), possibly a results of transactions happening between addresses belonging to some lovers trying out the Bitcoin system by transferring money between their very own addresses.<br><br>Visit my page :: [http://www.googoclassifieds.com/user/profile/191488 googoclassifieds.com]