Abuse filter log

Details for log entry 137,542

19:01, 30 March 2020: NapoleonFoster7 (talk | contribs) triggered filter 0, performing the action "edit" on User:NapoleonFoster7. Actions taken: Warn; Filter description: (examine)

Changes made in edit

Action parameters

Variable	Value
Name of the user account `(user_name)`	'NapoleonFoster7'
Age of the user account `(user_age)`	4572
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)`	'NapoleonFoster7'
Full page title `(page_prefixedtitle)`	'User:NapoleonFoster7'
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 learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate cost method which will substitute intermediaries with cryptographic methods and must be embedded in the research areas of SIGeBIZ and SIGSEC. On this paper we suggest to remedy this drawback by using the strategies initially developed for the pc-aided analysis for hardware and software systems, particularly those primarily based on the timed automata. On 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 provides an evaluation of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know the whole lot you want to be able to separate fact 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. In most cases, ui(t) options just a few abrupt adjustments, partitioning the history of Bitcoin into separate time periods. In the preliminary part is high, fluctuating round (see Fig. 5), probably a result of transactions happening between addresses belonging to some fanatics attempting out the Bitcoin system by transferring cash between their own addresses.<br><br>Also visit my blog: [https://potter60schultz.bravejournal.net/post/2020/03/23/KODAKCoin:-A-Blockchain-Revolution-Or-Exploiting-A-Possible-Cryptocurrency-Bubble https://potter60schultz.bravejournal.net/post/2020/03/23/KODAKCoin:-A-Blockchain-Revolution-Or-Exploiting-A-Possible-Cryptocurrency-Bubble]'
Old page size `(old_size)`	0
All external links added in the edit `(added_links)`	[ 0 => 'https://potter60schultz.bravejournal.net/post/2020/03/23/KODAKCoin:-A-Blockchain-Revolution-Or-Exploiting-A-Possible-Cryptocurrency-Bubble' ]
All external links in the new text `(all_links)`	[ 0 => 'https://potter60schultz.bravejournal.net/post/2020/03/23/KODAKCoin:-A-Blockchain-Revolution-Or-Exploiting-A-Possible-Cryptocurrency-Bubble' ]
Links in the page, before the edit `(old_links)`	[]
Unix timestamp of change `(timestamp)`	1585587697


			As anticipated, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate cost method which will substitute intermediaries with cryptographic methods and must be embedded in the research areas of SIGeBIZ and SIGSEC. On this paper we suggest to remedy this drawback by using the strategies initially developed for the pc-aided analysis for hardware and software systems, particularly those primarily based on the timed automata. On 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 provides an evaluation of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know the whole lot you want to be able to separate fact 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. In most cases, ui(t) options just a few abrupt adjustments, partitioning the history of Bitcoin into separate time periods. In the preliminary part is high, fluctuating round (see Fig. 5), probably a result of transactions happening between addresses belonging to some fanatics attempting out the Bitcoin system by transferring cash between their own addresses.<br><br>Also visit my blog: [https://potter60schultz.bravejournal.net/post/2020/03/23/KODAKCoin:-A-Blockchain-Revolution-Or-Exploiting-A-Possible-Cryptocurrency-Bubble https://potter60schultz.bravejournal.net/post/2020/03/23/KODAKCoin:-A-Blockchain-Revolution-Or-Exploiting-A-Possible-Cryptocurrency-Bubble]