Abuse filter log

Details for log entry 144,537

09:12, 3 June 2020: ElisabethWindsor (talk | contribs) triggered filter 0, performing the action "edit" on User:ElisabethWindsor. Actions taken: Warn; Filter description: (examine)

Changes made in edit

Action parameters

Variable	Value
Name of the user account `(user_name)`	'ElisabethWindsor'
Age of the user account `(user_age)`	4697
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)`	'ElisabethWindsor'
Full page title `(page_prefixedtitle)`	'User:ElisabethWindsor'
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 another fee method that will change intermediaries with cryptographic methods and must be embedded in the analysis areas of SIGeBIZ and SIGSEC. On this paper we propose to treatment this problem by utilizing the methods originally developed for the pc-aided evaluation for hardware and software program techniques, specifically these primarily based on the timed automata. In this paper we introduce a device to check and analyze the UTXO set, along with a detailed description of the set format and performance. This paper supplies an evaluation of the current state of the literature. This systematic literature overview examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every little thing you want to be able to separate reality from fiction when reading claims about Bitcoin and different cryptocurrencies. We present the time-various contribution ui(t) of the primary six base networks on figure 2. Generally, ui(t) features just a few abrupt adjustments, partitioning the historical past of Bitcoin into separate time intervals. In the preliminary part is excessive, fluctuating around (see Fig. 5), presumably a results of transactions going down between addresses belonging to a few lovers attempting out the [https://sites.google.com/bitcoinloophole.io/bitcoin-loophole/ bitcoin loophole website] system by transferring cash between their very own addresses.<br><br>Have a look at my homepage :: [https://sites.google.com/bitcoinloophole.io/bitcoin-loophole/ sites.google.com]'
Old page size `(old_size)`	0
All external links added in the edit `(added_links)`	[ 0 => 'https://sites.google.com/bitcoinloophole.io/bitcoin-loophole/' ]
All external links in the new text `(all_links)`	[ 0 => 'https://sites.google.com/bitcoinloophole.io/bitcoin-loophole/' ]
Links in the page, before the edit `(old_links)`	[]
Unix timestamp of change `(timestamp)`	1591175576


			As expected, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another fee method that will change intermediaries with cryptographic methods and must be embedded in the analysis areas of SIGeBIZ and SIGSEC. On this paper we propose to treatment this problem by utilizing the methods originally developed for the pc-aided evaluation for hardware and software program techniques, specifically these primarily based on the timed automata. In this paper we introduce a device to check and analyze the UTXO set, along with a detailed description of the set format and performance. This paper supplies an evaluation of the current state of the literature. This systematic literature overview examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every little thing you want to be able to separate reality from fiction when reading claims about Bitcoin and different cryptocurrencies. We present the time-various contribution ui(t) of the primary six base networks on figure 2. Generally, ui(t) features just a few abrupt adjustments, partitioning the historical past of Bitcoin into separate time intervals. In the preliminary part is excessive, fluctuating around (see Fig. 5), presumably a results of transactions going down between addresses belonging to a few lovers attempting out the [https://sites.google.com/bitcoinloophole.io/bitcoin-loophole/ bitcoin loophole website] system by transferring cash between their very own addresses.<br><br>Have a look at my homepage :: [https://sites.google.com/bitcoinloophole.io/bitcoin-loophole/ sites.google.com]