Abuse filter log

Details for log entry 143,778

17:17, 28 May 2020: LuzJ25257368 (talk | contribs) triggered filter 0, performing the action "edit" on User:LuzJ25257368. Actions taken: Warn; Filter description: (examine)

Changes made in edit

Action parameters

Variable	Value
Name of the user account `(user_name)`	'LuzJ25257368'
Age of the user account `(user_age)`	1
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)`	'LuzJ25257368'
Full page title `(page_prefixedtitle)`	'User:LuzJ25257368'
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 methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another payment method that may substitute intermediaries with cryptographic methods and must be embedded within the research areas of SIGeBIZ and SIGSEC. On this paper we propose to treatment this drawback by using the methods initially developed for the computer-aided analysis for hardware and software methods, in particular these based on the timed automata. In this paper we introduce a device to check and analyze the UTXO set, together with an in depth description of the set format and functionality. This paper supplies an evaluation of the current state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every little thing you need to have the ability to separate reality from fiction when studying claims about Bitcoin and other cryptocurrencies. We show the time-varying contribution ui(t) of the first six base networks on figure 2. Generally, ui(t) options a number of abrupt adjustments, partitioning the history of Bitcoin into separate time durations. In the preliminary phase is excessive, fluctuating round (see Fig. 5), possibly a results of transactions happening between addresses belonging to a couple fanatics trying out the Bitcoin system by shifting money between their own addresses.<br><br>Feel free to surf to my blog [https://blogfreely.net/nealbjerring75/noncausal-autoregressive-mannequin-in-utility-to-bitcoin-usd-alternate-rates https://blogfreely.net/nealbjerring75/noncausal-autoregressive-mannequin-in-utility-to-bitcoin-usd-alternate-rates]'
Old page size `(old_size)`	0
All external links added in the edit `(added_links)`	[ 0 => 'https://blogfreely.net/nealbjerring75/noncausal-autoregressive-mannequin-in-utility-to-bitcoin-usd-alternate-rates' ]
All external links in the new text `(all_links)`	[ 0 => 'https://blogfreely.net/nealbjerring75/noncausal-autoregressive-mannequin-in-utility-to-bitcoin-usd-alternate-rates' ]
Links in the page, before the edit `(old_links)`	[]
Unix timestamp of change `(timestamp)`	1590686237


			As anticipated, the non-linear deep studying methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another payment method that may substitute intermediaries with cryptographic methods and must be embedded within the research areas of SIGeBIZ and SIGSEC. On this paper we propose to treatment this drawback by using the methods initially developed for the computer-aided analysis for hardware and software methods, in particular these based on the timed automata. In this paper we introduce a device to check and analyze the UTXO set, together with an in depth description of the set format and functionality. This paper supplies an evaluation of the current state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every little thing you need to have the ability to separate reality from fiction when studying claims about Bitcoin and other cryptocurrencies. We show the time-varying contribution ui(t) of the first six base networks on figure 2. Generally, ui(t) options a number of abrupt adjustments, partitioning the history of Bitcoin into separate time durations. In the preliminary phase is excessive, fluctuating round (see Fig. 5), possibly a results of transactions happening between addresses belonging to a couple fanatics trying out the Bitcoin system by shifting money between their own addresses.<br><br>Feel free to surf to my blog [https://blogfreely.net/nealbjerring75/noncausal-autoregressive-mannequin-in-utility-to-bitcoin-usd-alternate-rates https://blogfreely.net/nealbjerring75/noncausal-autoregressive-mannequin-in-utility-to-bitcoin-usd-alternate-rates]