Abuse filter log

Details for log entry 137,326

13:58, 28 March 2020: StephanDegotardi (talk | contribs) triggered filter 0, performing the action "edit" on User:StephanDegotardi. 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)`	'StephanDegotardi'
Age of the user account `(user_age)`	105448
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)`	'StephanDegotardi'
Full page title `(page_prefixedtitle)`	'User:StephanDegotardi'
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 expected, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate cost method which will replace intermediaries with cryptographic methods and ought to be embedded within the analysis areas of SIGeBIZ and SIGSEC. In this paper we propose to remedy this downside by utilizing the methods originally developed for the computer-aided analysis for hardware and software program programs, in particular these based mostly on the timed automata. On this paper we introduce a tool to check and analyze the UTXO set, together with a detailed description of the set format and performance. This paper provides an assessment of the present state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know all the things you need to be able to separate fact from fiction when studying claims about Bitcoin and other cryptocurrencies. We present the time-various contribution ui(t) of the first six base networks on figure 2. Usually, ui(t) features just a few abrupt adjustments, partitioning the history of Bitcoin into separate time durations. Within the preliminary phase is high, fluctuating around (see Fig. 5), possibly a result of transactions going down between addresses belonging to some fanatics trying out the Bitcoin system by moving money between their very own addresses.<br><br>Stop by my blog post - [http://root-motion.com/qa/index.php?qa=user&qa_1=bruun87burns root-motion.com]'
Old page size `(old_size)`	0
All external links added in the edit `(added_links)`	[ 0 => 'http://root-motion.com/qa/index.php?qa=user&qa_1=bruun87burns' ]
All external links in the new text `(all_links)`	[ 0 => 'http://root-motion.com/qa/index.php?qa=user&qa_1=bruun87burns' ]
Links in the page, before the edit `(old_links)`	[]
Unix timestamp of change `(timestamp)`	1585403882


			As expected, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate cost method which will replace intermediaries with cryptographic methods and ought to be embedded within the analysis areas of SIGeBIZ and SIGSEC. In this paper we propose to remedy this downside by utilizing the methods originally developed for the computer-aided analysis for hardware and software program programs, in particular these based mostly on the timed automata. On this paper we introduce a tool to check and analyze the UTXO set, together with a detailed description of the set format and performance. This paper provides an assessment of the present state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know all the things you need to be able to separate fact from fiction when studying claims about Bitcoin and other cryptocurrencies. We present the time-various contribution ui(t) of the first six base networks on figure 2. Usually, ui(t) features just a few abrupt adjustments, partitioning the history of Bitcoin into separate time durations. Within the preliminary phase is high, fluctuating around (see Fig. 5), possibly a result of transactions going down between addresses belonging to some fanatics trying out the Bitcoin system by moving money between their very own addresses.<br><br>Stop by my blog post - [http://root-motion.com/qa/index.php?qa=user&qa_1=bruun87burns root-motion.com]