Abuse filter log

Details for log entry 137,216

03:37, 28 March 2020: MargaretaTitus0 (talk | contribs) triggered filter 0, performing the action "edit" on User:MargaretaTitus0. Actions taken: Warn; Filter description: (examine)

Changes made in edit

Action parameters

Variable	Value
Name of the user account `(user_name)`	'MargaretaTitus0'
Age of the user account `(user_age)`	5081
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)`	'MargaretaTitus0'
Full page title `(page_prefixedtitle)`	'User:MargaretaTitus0'
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 strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate fee methodology that will change 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 by utilizing the methods originally developed for the pc-aided evaluation for hardware and software program techniques, particularly these primarily based on the timed automata. In this paper we introduce a instrument to check and analyze the UTXO set, together with a detailed description of the set format and functionality. This paper gives an evaluation of the present state of the literature. This systematic literature assessment examines cryptocurrencies (CCs) and [https://www.steuergo.de/blog/bitcoin-und-steuern-wie-werden-kryptowaehrungen-versteuert/ Bitcoin]. After this course, you’ll know every part you need to be able to separate reality from fiction when reading claims about Bitcoin and other cryptocurrencies. We present the time-various contribution ui(t) of the first six base networks on figure 2. Most often, ui(t) options a couple of abrupt adjustments, partitioning the history of Bitcoin into separate time intervals. In the preliminary phase is excessive, fluctuating around (see Fig. 5), probably a result of transactions going down between addresses belonging to a couple fans attempting out the [https://www.steuergo.de/blog/bitcoin-und-steuern-wie-werden-kryptowaehrungen-versteuert/ Bitcoin] system by transferring cash between their own addresses.<br><br>Feel free to surf to my blog - [https://erfahrungenscout.de/nachrichten/passives-einkommen-mit-aktien cryptocurrency]'
Old page size `(old_size)`	0
All external links added in the edit `(added_links)`	[ 0 => 'https://www.steuergo.de/blog/bitcoin-und-steuern-wie-werden-kryptowaehrungen-versteuert/', 1 => 'https://erfahrungenscout.de/nachrichten/passives-einkommen-mit-aktien' ]
All external links in the new text `(all_links)`	[ 0 => 'https://www.steuergo.de/blog/bitcoin-und-steuern-wie-werden-kryptowaehrungen-versteuert/', 1 => 'https://erfahrungenscout.de/nachrichten/passives-einkommen-mit-aktien' ]
Links in the page, before the edit `(old_links)`	[]
Unix timestamp of change `(timestamp)`	1585366635


			As anticipated, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate fee methodology that will change 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 by utilizing the methods originally developed for the pc-aided evaluation for hardware and software program techniques, particularly these primarily based on the timed automata. In this paper we introduce a instrument to check and analyze the UTXO set, together with a detailed description of the set format and functionality. This paper gives an evaluation of the present state of the literature. This systematic literature assessment examines cryptocurrencies (CCs) and [https://www.steuergo.de/blog/bitcoin-und-steuern-wie-werden-kryptowaehrungen-versteuert/ Bitcoin]. After this course, you’ll know every part you need to be able to separate reality from fiction when reading claims about Bitcoin and other cryptocurrencies. We present the time-various contribution ui(t) of the first six base networks on figure 2. Most often, ui(t) options a couple of abrupt adjustments, partitioning the history of Bitcoin into separate time intervals. In the preliminary phase is excessive, fluctuating around (see Fig. 5), probably a result of transactions going down between addresses belonging to a couple fans attempting out the [https://www.steuergo.de/blog/bitcoin-und-steuern-wie-werden-kryptowaehrungen-versteuert/ Bitcoin] system by transferring cash between their own addresses.<br><br>Feel free to surf to my blog - [https://erfahrungenscout.de/nachrichten/passives-einkommen-mit-aktien cryptocurrency]