Abuse filter log

Details for log entry 137,690

13:19, 1 April 2020: TeodoroAllcot (talk | contribs) triggered filter 0, performing the action "edit" on User:TeodoroAllcot. Actions taken: Warn; Filter description: (examine)

Changes made in edit

Action parameters

Variable	Value
Name of the user account `(user_name)`	'TeodoroAllcot'
Age of the user account `(user_age)`	4955
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)`	'TeodoroAllcot'
Full page title `(page_prefixedtitle)`	'User:TeodoroAllcot'
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 will exchange intermediaries with cryptographic methods and needs to be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we propose to treatment this problem by utilizing the strategies originally developed for the pc-aided evaluation for hardware and software program programs, in particular those based on the timed automata. In this paper we introduce a tool to study and analyze the UTXO set, together with an in depth description of the set format and performance. This paper provides an assessment of the current state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and Bitcoin. After this course, [http://guia.clarin.com/bruun21schultz/usuario http://guia.clarin.com/] you’ll know every thing you want to have the ability to separate reality from fiction when reading 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 couple of abrupt changes, partitioning the history of Bitcoin into separate time intervals. In the initial part is high, fluctuating round (see Fig. 5), possibly a results of transactions taking place between addresses belonging to a couple fanatics trying out the [http://dukanyiq.com/author/rollins85potter/ Bitcoin] system by transferring cash between their very own addresses.<br><br>Feel free to visit my homepage - [https://blogfreely.net/leslie59schultz/bitcoin-trading-for-increased-profits-and-returns-currency-trading blogfreely.net]'
Old page size `(old_size)`	0
All external links added in the edit `(added_links)`	[ 0 => 'http://guia.clarin.com/bruun21schultz/usuario', 1 => 'http://dukanyiq.com/author/rollins85potter/', 2 => 'https://blogfreely.net/leslie59schultz/bitcoin-trading-for-increased-profits-and-returns-currency-trading' ]
All external links in the new text `(all_links)`	[ 0 => 'http://guia.clarin.com/bruun21schultz/usuario', 1 => 'http://dukanyiq.com/author/rollins85potter/', 2 => 'https://blogfreely.net/leslie59schultz/bitcoin-trading-for-increased-profits-and-returns-currency-trading' ]
Links in the page, before the edit `(old_links)`	[]
Unix timestamp of change `(timestamp)`	1585747175


			As anticipated, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another fee technique that will exchange intermediaries with cryptographic methods and needs to be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we propose to treatment this problem by utilizing the strategies originally developed for the pc-aided evaluation for hardware and software program programs, in particular those based on the timed automata. In this paper we introduce a tool to study and analyze the UTXO set, together with an in depth description of the set format and performance. This paper provides an assessment of the current state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and Bitcoin. After this course, [http://guia.clarin.com/bruun21schultz/usuario http://guia.clarin.com/] you’ll know every thing you want to have the ability to separate reality from fiction when reading 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 couple of abrupt changes, partitioning the history of Bitcoin into separate time intervals. In the initial part is high, fluctuating round (see Fig. 5), possibly a results of transactions taking place between addresses belonging to a couple fanatics trying out the [http://dukanyiq.com/author/rollins85potter/ Bitcoin] system by transferring cash between their very own addresses.<br><br>Feel free to visit my homepage - [https://blogfreely.net/leslie59schultz/bitcoin-trading-for-increased-profits-and-returns-currency-trading blogfreely.net]