Abuse filter log

Details for log entry 157,118

07:39, 24 September 2020: JXFJessika (talk | contribs) triggered filter 0, performing the action "edit" on User:JXFJessika. Actions taken: Block; Filter description: (examine)

Changes made in edit

Action parameters

Variable	Value
Name of the user account `(user_name)`	'JXFJessika'
Age of the user account `(user_age)`	5
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)`	'JXFJessika'
Full page title `(page_prefixedtitle)`	'User:JXFJessika'
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 strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate payment technique which will substitute intermediaries with cryptographic strategies and ought to be embedded within the analysis areas of SIGeBIZ and SIGSEC. On this paper we suggest to remedy this problem through the use of the methods originally developed for the computer-aided evaluation for hardware and software programs, specifically these primarily based on the timed automata. On this paper we introduce a instrument to check and analyze the UTXO set, together with an in depth description of the set format and performance. This paper offers an assessment of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you want 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 primary six base networks on figure 2. Normally, ui(t) features a number of abrupt modifications, partitioning the history of Bitcoin into separate time durations. Within the preliminary part is high, fluctuating around (see Fig. 5), possibly a result of transactions happening between addresses belonging to some enthusiasts attempting out the [https://lookbook.nu/user/8036774-Zhao Bitcoin] system by moving money between their very own addresses.<br><br>my web blog ... [https://www.goodreads.com/user/show/121815650-carlson www.goodreads.com]'
Old page size `(old_size)`	0
All external links added in the edit `(added_links)`	[ 0 => 'https://lookbook.nu/user/8036774-Zhao', 1 => 'https://www.goodreads.com/user/show/121815650-carlson' ]
All external links in the new text `(all_links)`	[ 0 => 'https://lookbook.nu/user/8036774-Zhao', 1 => 'https://www.goodreads.com/user/show/121815650-carlson' ]
Links in the page, before the edit `(old_links)`	[]
Unix timestamp of change `(timestamp)`	1600933198


			As expected, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate payment technique which will substitute intermediaries with cryptographic strategies and ought to be embedded within the analysis areas of SIGeBIZ and SIGSEC. On this paper we suggest to remedy this problem through the use of the methods originally developed for the computer-aided evaluation for hardware and software programs, specifically these primarily based on the timed automata. On this paper we introduce a instrument to check and analyze the UTXO set, together with an in depth description of the set format and performance. This paper offers an assessment of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you want 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 primary six base networks on figure 2. Normally, ui(t) features a number of abrupt modifications, partitioning the history of Bitcoin into separate time durations. Within the preliminary part is high, fluctuating around (see Fig. 5), possibly a result of transactions happening between addresses belonging to some enthusiasts attempting out the [https://lookbook.nu/user/8036774-Zhao Bitcoin] system by moving money between their very own addresses.<br><br>my web blog ... [https://www.goodreads.com/user/show/121815650-carlson www.goodreads.com]