Abuse filter log

Details for log entry 137,420

14:28, 29 March 2020: RayJasso66 (talk | contribs) triggered filter 0, performing the action "edit" on User:RayJasso66. Actions taken: Warn; Filter description: (examine)

Changes made in edit

Action parameters

Variable	Value
Name of the user account `(user_name)`	'RayJasso66'
Age of the user account `(user_age)`	4692
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)`	'RayJasso66'
Full page title `(page_prefixedtitle)`	'User:RayJasso66'
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 alternative fee method that may exchange intermediaries with cryptographic strategies and [http://rollins15potter.mystrikingly.com/blog/bitcoin-returns-are-similarly-affected-by-macroeconomic-information-bulletins rollins15potter.mystrikingly.com] needs to be embedded within the research areas of SIGeBIZ and SIGSEC. On this paper we suggest to treatment this drawback by utilizing the strategies initially developed for the pc-aided evaluation for hardware and software program systems, in particular these based mostly on the timed automata. In this paper we introduce a device to check and analyze the UTXO set, along with an in depth description of the set format and performance. This paper gives an assessment of the present state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every thing you want to be able to separate truth from fiction when reading claims about Bitcoin and other cryptocurrencies. We show the time-various contribution ui(t) of the first six base networks on determine 2. Most often, ui(t) options just a few abrupt modifications, partitioning the history of Bitcoin into separate time intervals. In the initial section is high, fluctuating around (see Fig. 5), probably a result of transactions going down between addresses belonging to a couple fanatics trying out the Bitcoin system by transferring cash between their very own addresses.<br><br>Feel free to surf to my website [https://www.yellowbot.com/user/q7zf71 https://www.yellowbot.com/user/q7zf71]'
Old page size `(old_size)`	0
All external links added in the edit `(added_links)`	[ 0 => 'http://rollins15potter.mystrikingly.com/blog/bitcoin-returns-are-similarly-affected-by-macroeconomic-information-bulletins', 1 => 'https://www.yellowbot.com/user/q7zf71' ]
All external links in the new text `(all_links)`	[ 0 => 'http://rollins15potter.mystrikingly.com/blog/bitcoin-returns-are-similarly-affected-by-macroeconomic-information-bulletins', 1 => 'https://www.yellowbot.com/user/q7zf71' ]
Links in the page, before the edit `(old_links)`	[]
Unix timestamp of change `(timestamp)`	1585492088


			As expected, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternative fee method that may exchange intermediaries with cryptographic strategies and [http://rollins15potter.mystrikingly.com/blog/bitcoin-returns-are-similarly-affected-by-macroeconomic-information-bulletins rollins15potter.mystrikingly.com] needs to be embedded within the research areas of SIGeBIZ and SIGSEC. On this paper we suggest to treatment this drawback by utilizing the strategies initially developed for the pc-aided evaluation for hardware and software program systems, in particular these based mostly on the timed automata. In this paper we introduce a device to check and analyze the UTXO set, along with an in depth description of the set format and performance. This paper gives an assessment of the present state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every thing you want to be able to separate truth from fiction when reading claims about Bitcoin and other cryptocurrencies. We show the time-various contribution ui(t) of the first six base networks on determine 2. Most often, ui(t) options just a few abrupt modifications, partitioning the history of Bitcoin into separate time intervals. In the initial section is high, fluctuating around (see Fig. 5), probably a result of transactions going down between addresses belonging to a couple fanatics trying out the Bitcoin system by transferring cash between their very own addresses.<br><br>Feel free to surf to my website [https://www.yellowbot.com/user/q7zf71 https://www.yellowbot.com/user/q7zf71]