Abuse filter log

Details for log entry 143,911

11:33, 29 May 2020: HenriettaMcGraw (talk | contribs) triggered filter 0, performing the action "edit" on User:HenriettaMcGraw. Actions taken: Warn; Filter description: (examine)

Changes made in edit

Action parameters

Variable	Value
Name of the user account `(user_name)`	'HenriettaMcGraw'
Age of the user account `(user_age)`	2
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)`	'HenriettaMcGraw'
Full page title `(page_prefixedtitle)`	'User:HenriettaMcGraw'
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 studying methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another fee technique that may change intermediaries with cryptographic strategies and should be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we propose to treatment this downside through the use of the strategies originally developed for the computer-aided analysis for hardware and software systems, [https://blogfreely.net/nealbjerring75/fb-google-and-twitter-ban-cryptocurrency-advertisements-to-prevent-scams blogfreely.net] specifically these based on the timed automata. In this paper we introduce a tool to review and analyze the UTXO set, along with a detailed description of the set format and functionality. This paper supplies an evaluation of the present state of the literature. This systematic literature evaluate 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 different cryptocurrencies. We present the time-various contribution ui(t) of the primary six base networks on figure 2. Most often, ui(t) options a few abrupt modifications, partitioning the historical past of Bitcoin into separate time durations. Within the initial phase is high, fluctuating around (see Fig. 5), possibly a results of transactions going down between addresses belonging to a few fans making an attempt out the Bitcoin system by shifting money between their very own addresses.<br><br>Feel free to surf to my website ... [https://ofertasaunclick.com/index.php?page=user&action=pub_profile&id=77398 ofertasaunclick.com]'
Old page size `(old_size)`	0
All external links added in the edit `(added_links)`	[ 0 => 'https://blogfreely.net/nealbjerring75/fb-google-and-twitter-ban-cryptocurrency-advertisements-to-prevent-scams', 1 => 'https://ofertasaunclick.com/index.php?page=user&action=pub_profile&id=77398' ]
All external links in the new text `(all_links)`	[ 0 => 'https://blogfreely.net/nealbjerring75/fb-google-and-twitter-ban-cryptocurrency-advertisements-to-prevent-scams', 1 => 'https://ofertasaunclick.com/index.php?page=user&action=pub_profile&id=77398' ]
Links in the page, before the edit `(old_links)`	[]
Unix timestamp of change `(timestamp)`	1590751997


			As anticipated, the non-linear deep studying methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another fee technique that may change intermediaries with cryptographic strategies and should be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we propose to treatment this downside through the use of the strategies originally developed for the computer-aided analysis for hardware and software systems, [https://blogfreely.net/nealbjerring75/fb-google-and-twitter-ban-cryptocurrency-advertisements-to-prevent-scams blogfreely.net] specifically these based on the timed automata. In this paper we introduce a tool to review and analyze the UTXO set, along with a detailed description of the set format and functionality. This paper supplies an evaluation of the present state of the literature. This systematic literature evaluate 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 different cryptocurrencies. We present the time-various contribution ui(t) of the primary six base networks on figure 2. Most often, ui(t) options a few abrupt modifications, partitioning the historical past of Bitcoin into separate time durations. Within the initial phase is high, fluctuating around (see Fig. 5), possibly a results of transactions going down between addresses belonging to a few fans making an attempt out the Bitcoin system by shifting money between their very own addresses.<br><br>Feel free to surf to my website ... [https://ofertasaunclick.com/index.php?page=user&action=pub_profile&id=77398 ofertasaunclick.com]