Abuse filter log

Details for log entry 269,462

17:52, 6 March 2021: Celia37B8834 (talk | contribs) triggered filter 0, performing the action "edit" on User:Celia37B8834. 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)`	'Celia37B8834'
Age of the user account `(user_age)`	139889
Page ID `(page_id)`	0
Page namespace `(page_namespace)`	2
Page title (without namespace) `(page_title)`	'Celia37B8834'
Full page title `(page_prefixedtitle)`	'User:Celia37B8834'
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 change intermediaries with cryptographic methods and should be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we suggest to treatment this drawback through the use of the methods originally developed for the pc-aided analysis for hardware and software program programs, particularly those based mostly on the timed automata. In this paper we introduce a software to review and analyze the UTXO set, along with an in depth description of the set format and functionality. This paper gives an assessment of the current state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you need to have the ability to separate reality from fiction when reading claims about Bitcoin and other cryptocurrencies. We show the time-various contribution ui(t) of the primary six base networks on figure 2. Typically, ui(t) features a few abrupt changes, partitioning the historical past of Bitcoin into separate time intervals. Within the preliminary section is high, fluctuating around (see Fig. 5), presumably a result of transactions happening between addresses belonging to some fanatics attempting out the [https://www.dontromestayhome.com Bitcoin] system by transferring money between their very own addresses.<br><br>My web page; [https://www.dontromestayhome.com https://www.dontromestayhome.com/]'
Unified diff of changes made by edit `(edit_diff)`	'@@ -1,0 +1,1 @@ +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 change intermediaries with cryptographic methods and should be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we suggest to treatment this drawback through the use of the methods originally developed for the pc-aided analysis for hardware and software program programs, particularly those based mostly on the timed automata. In this paper we introduce a software to review and analyze the UTXO set, along with an in depth description of the set format and functionality. This paper gives an assessment of the current state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you need to have the ability to separate reality from fiction when reading claims about Bitcoin and other cryptocurrencies. We show the time-various contribution ui(t) of the primary six base networks on figure 2. Typically, ui(t) features a few abrupt changes, partitioning the historical past of Bitcoin into separate time intervals. Within the preliminary section is high, fluctuating around (see Fig. 5), presumably a result of transactions happening between addresses belonging to some fanatics attempting out the [https://www.dontromestayhome.com Bitcoin] system by transferring money between their very own addresses.<br><br>My web page; [https://www.dontromestayhome.com https://www.dontromestayhome.com/] '
New page size `(new_size)`	1576
Old page size `(old_size)`	0
Lines added in edit `(added_lines)`	[ 0 => '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 change intermediaries with cryptographic methods and should be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we suggest to treatment this drawback through the use of the methods originally developed for the pc-aided analysis for hardware and software program programs, particularly those based mostly on the timed automata. In this paper we introduce a software to review and analyze the UTXO set, along with an in depth description of the set format and functionality. This paper gives an assessment of the current state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you need to have the ability to separate reality from fiction when reading claims about Bitcoin and other cryptocurrencies. We show the time-various contribution ui(t) of the primary six base networks on figure 2. Typically, ui(t) features a few abrupt changes, partitioning the historical past of Bitcoin into separate time intervals. Within the preliminary section is high, fluctuating around (see Fig. 5), presumably a result of transactions happening between addresses belonging to some fanatics attempting out the [https://www.dontromestayhome.com Bitcoin] system by transferring money between their very own addresses.<br><br>My web page; [https://www.dontromestayhome.com https://www.dontromestayhome.com/]' ]
All external links added in the edit `(added_links)`	[ 0 => 'https://www.dontromestayhome.com' ]
All external links in the new text `(all_links)`	[ 0 => 'https://www.dontromestayhome.com' ]
Links in the page, before the edit `(old_links)`	[]
Unix timestamp of change `(timestamp)`	1615053155


			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 change intermediaries with cryptographic methods and should be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we suggest to treatment this drawback through the use of the methods originally developed for the pc-aided analysis for hardware and software program programs, particularly those based mostly on the timed automata. In this paper we introduce a software to review and analyze the UTXO set, along with an in depth description of the set format and functionality. This paper gives an assessment of the current state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you need to have the ability to separate reality from fiction when reading claims about Bitcoin and other cryptocurrencies. We show the time-various contribution ui(t) of the primary six base networks on figure 2. Typically, ui(t) features a few abrupt changes, partitioning the historical past of Bitcoin into separate time intervals. Within the preliminary section is high, fluctuating around (see Fig. 5), presumably a result of transactions happening between addresses belonging to some fanatics attempting out the [https://www.dontromestayhome.com Bitcoin] system by transferring money between their very own addresses.<br><br>My web page; [https://www.dontromestayhome.com https://www.dontromestayhome.com/]