Abuse filter log

Details for log entry 268,964

19:59, 26 February 2021: MargaretaWorrall (talk | contribs) triggered filter 0, performing the action "edit" on User:MargaretaWorrall. Actions taken: Warn; Filter description: (examine)

Changes made in edit

Action parameters

Variable	Value
Edit count of the user `(user_editcount)`	0
Name of the user account `(user_name)`	'MargaretaWorrall'
Age of the user account `(user_age)`	159624
Page ID `(page_id)`	0
Page namespace `(page_namespace)`	2
Page title (without namespace) `(page_title)`	'MargaretaWorrall'
Full page title `(page_prefixedtitle)`	'User:MargaretaWorrall'
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 another cost method which will substitute intermediaries with cryptographic strategies and must be embedded within the analysis areas of SIGeBIZ and SIGSEC. In this paper we propose to treatment this problem by utilizing the methods initially developed for the pc-aided evaluation for hardware and software programs, particularly those primarily 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 functionality. This paper provides an assessment of the present state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and [https://www.piccomicromotori.com/ Bitcoin]. After this course, you’ll know everything you want to be able to separate fact from fiction when reading claims about Bitcoin and other cryptocurrencies. We present the time-various contribution ui(t) of the primary six base networks on figure 2. Normally, ui(t) options a number of abrupt modifications, partitioning the historical past of Bitcoin into separate time periods. In the initial part is excessive, fluctuating around (see Fig. 5), probably a result of transactions going down between addresses belonging to a couple fanatics trying out the Bitcoin system by moving money between their own addresses.'
Unified diff of changes made by edit `(edit_diff)`	'@@ -1,0 +1,1 @@ +As anticipated, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another cost method which will substitute intermediaries with cryptographic strategies and must be embedded within the analysis areas of SIGeBIZ and SIGSEC. In this paper we propose to treatment this problem by utilizing the methods initially developed for the pc-aided evaluation for hardware and software programs, particularly those primarily 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 functionality. This paper provides an assessment of the present state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and [https://www.piccomicromotori.com/ Bitcoin]. After this course, you’ll know everything you want to be able to separate fact from fiction when reading claims about Bitcoin and other cryptocurrencies. We present the time-various contribution ui(t) of the primary six base networks on figure 2. Normally, ui(t) options a number of abrupt modifications, partitioning the historical past of Bitcoin into separate time periods. In the initial part is excessive, fluctuating around (see Fig. 5), probably a result of transactions going down between addresses belonging to a couple fanatics trying out the Bitcoin system by moving money between their own addresses. '
New page size `(new_size)`	1470
Old page size `(old_size)`	0
Lines added in edit `(added_lines)`	[ 0 => 'As anticipated, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another cost method which will substitute intermediaries with cryptographic strategies and must be embedded within the analysis areas of SIGeBIZ and SIGSEC. In this paper we propose to treatment this problem by utilizing the methods initially developed for the pc-aided evaluation for hardware and software programs, particularly those primarily 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 functionality. This paper provides an assessment of the present state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and [https://www.piccomicromotori.com/ Bitcoin]. After this course, you’ll know everything you want to be able to separate fact from fiction when reading claims about Bitcoin and other cryptocurrencies. We present the time-various contribution ui(t) of the primary six base networks on figure 2. Normally, ui(t) options a number of abrupt modifications, partitioning the historical past of Bitcoin into separate time periods. In the initial part is excessive, fluctuating around (see Fig. 5), probably a result of transactions going down between addresses belonging to a couple fanatics trying out the Bitcoin system by moving money between their own addresses.' ]
All external links added in the edit `(added_links)`	[ 0 => 'https://www.piccomicromotori.com/' ]
All external links in the new text `(all_links)`	[ 0 => 'https://www.piccomicromotori.com/' ]
Links in the page, before the edit `(old_links)`	[]
Unix timestamp of change `(timestamp)`	1614369545


			As anticipated, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another cost method which will substitute intermediaries with cryptographic strategies and must be embedded within the analysis areas of SIGeBIZ and SIGSEC. In this paper we propose to treatment this problem by utilizing the methods initially developed for the pc-aided evaluation for hardware and software programs, particularly those primarily 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 functionality. This paper provides an assessment of the present state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and [https://www.piccomicromotori.com/ Bitcoin]. After this course, you’ll know everything you want to be able to separate fact from fiction when reading claims about Bitcoin and other cryptocurrencies. We present the time-various contribution ui(t) of the primary six base networks on figure 2. Normally, ui(t) options a number of abrupt modifications, partitioning the historical past of Bitcoin into separate time periods. In the initial part is excessive, fluctuating around (see Fig. 5), probably a result of transactions going down between addresses belonging to a couple fanatics trying out the Bitcoin system by moving money between their own addresses.