Abuse filter log

Details for log entry 137,734

11:43, 2 April 2020: JensLadd7887596 (talk | contribs) triggered filter 0, performing the action "edit" on User:JensLadd7887596. Actions taken: Warn; Filter description: (examine)

Changes made in edit

Action parameters

Variable	Value
Name of the user account `(user_name)`	'JensLadd7887596'
Age of the user account `(user_age)`	3
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)`	'JensLadd7887596'
Full page title `(page_prefixedtitle)`	'User:JensLadd7887596'
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 fee methodology which will change intermediaries with cryptographic strategies and should be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we suggest to treatment this problem through the use of the methods originally developed for the computer-aided evaluation for hardware and software program programs, particularly these based on the timed automata. On this paper we introduce a device to review and analyze the UTXO set, together with an in depth description of the set format and performance. This paper offers an evaluation of the current state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and [http://bbs.now.qq.com/home.php?mod=space&uid=160261 bitcoin]. After this course, you’ll know all the pieces you need to be able to separate truth 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. Most often, ui(t) features a few abrupt modifications, partitioning the historical past of Bitcoin into separate time periods. In the initial section is high, fluctuating around (see Fig. 5), [https://schultz29martinsen.webgarden.at/kategorien/schultz29martinsen-s-blog/ot-bitcoin-tops-10k-seen-as schultz29martinsen.webgarden.at] probably a results of transactions taking place between addresses belonging to a few lovers trying out the Bitcoin system by shifting cash between their very own addresses.<br><br>my site :: [http://martinsen79nixon.iktogo.com/post/global-cryptocurrency-options http://martinsen79nixon.iktogo.com/]'
Old page size `(old_size)`	0
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Links in the page, before the edit `(old_links)`	[]
Unix timestamp of change `(timestamp)`	1585827792


			As anticipated, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another fee methodology which will change intermediaries with cryptographic strategies and should be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we suggest to treatment this problem through the use of the methods originally developed for the computer-aided evaluation for hardware and software program programs, particularly these based on the timed automata. On this paper we introduce a device to review and analyze the UTXO set, together with an in depth description of the set format and performance. This paper offers an evaluation of the current state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and [http://bbs.now.qq.com/home.php?mod=space&uid=160261 bitcoin]. After this course, you’ll know all the pieces you need to be able to separate truth 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. Most often, ui(t) features a few abrupt modifications, partitioning the historical past of Bitcoin into separate time periods. In the initial section is high, fluctuating around (see Fig. 5), [https://schultz29martinsen.webgarden.at/kategorien/schultz29martinsen-s-blog/ot-bitcoin-tops-10k-seen-as schultz29martinsen.webgarden.at] probably a results of transactions taking place between addresses belonging to a few lovers trying out the Bitcoin system by shifting cash between their very own addresses.<br><br>my site :: [http://martinsen79nixon.iktogo.com/post/global-cryptocurrency-options http://martinsen79nixon.iktogo.com/]