Abuse filter log

Details for log entry 137,520

07:29, 30 March 2020: SallySnowden901 (talk | contribs) triggered filter 0, performing the action "edit" on User:SallySnowden901. Actions taken: Warn; Filter description: (examine)

Changes made in edit

Action parameters

Variable	Value
Name of the user account `(user_name)`	'SallySnowden901'
Age of the user account `(user_age)`	5640
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)`	'SallySnowden901'
Full page title `(page_prefixedtitle)`	'User:SallySnowden901'
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 methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another fee technique that may exchange intermediaries with cryptographic strategies and should be embedded within the analysis areas of SIGeBIZ and SIGSEC. In this paper we propose to remedy this downside by using the strategies originally developed for the pc-aided analysis for hardware and software methods, in particular those based mostly on the timed automata. In this paper we introduce a device to check and analyze the UTXO set, along with an in depth description of the set format and functionality. This paper offers an assessment of the current state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and [https://www.steuergo.de/blog/bitcoin-und-steuern-wie-werden-kryptowaehrungen-versteuert/ Bitcoin]. After this course, you’ll know every little thing you want to have the ability to separate fact 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. In most cases, ui(t) features a couple of abrupt modifications, partitioning the history of [https://www.steuergo.de/blog/bitcoin-und-steuern-wie-werden-kryptowaehrungen-versteuert/ Bitcoin] into separate time periods. In the initial section is excessive, fluctuating round (see Fig. 5), possibly a result of transactions happening between addresses belonging to some enthusiasts making an attempt out the Bitcoin system by shifting money between their own addresses.<br><br>Also visit my web-site; [https://erfahrungenscout.de/nachrichten/passives-einkommen-mit-aktien https://erfahrungenscout.de/nachrichten/passives-einkommen-mit-aktien]'
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)`	1585553379


			As anticipated, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another fee technique that may exchange intermediaries with cryptographic strategies and should be embedded within the analysis areas of SIGeBIZ and SIGSEC. In this paper we propose to remedy this downside by using the strategies originally developed for the pc-aided analysis for hardware and software methods, in particular those based mostly on the timed automata. In this paper we introduce a device to check and analyze the UTXO set, along with an in depth description of the set format and functionality. This paper offers an assessment of the current state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and [https://www.steuergo.de/blog/bitcoin-und-steuern-wie-werden-kryptowaehrungen-versteuert/ Bitcoin]. After this course, you’ll know every little thing you want to have the ability to separate fact 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. In most cases, ui(t) features a couple of abrupt modifications, partitioning the history of [https://www.steuergo.de/blog/bitcoin-und-steuern-wie-werden-kryptowaehrungen-versteuert/ Bitcoin] into separate time periods. In the initial section is excessive, fluctuating round (see Fig. 5), possibly a result of transactions happening between addresses belonging to some enthusiasts making an attempt out the Bitcoin system by shifting money between their own addresses.<br><br>Also visit my web-site; [https://erfahrungenscout.de/nachrichten/passives-einkommen-mit-aktien https://erfahrungenscout.de/nachrichten/passives-einkommen-mit-aktien]