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Via deze pagina kunt u de door het filter aangemaakte variabelen voor een individuele wijziging onderzoeken, en deze testen tegen filters.
Variabelen voor deze wijziging
| Variabele | Waarde |
|---|---|
Of de bewerking wel of niet als klein gemarkeerd is (niet langer in gebruik) (minor_edit) | false |
Aantal bewerkingen gebruiker (user_editcount) | 0 |
Gebruikersaccountnaam (user_name) | 'AlicaShiels' |
Groepen (inclusief impliciete) waar gebruiker lid van is (user_groups) | [
0 => '*',
1 => 'user'
] |
Rechten die een gebruiker heeft (user_rights) | [
0 => 'createaccount',
1 => 'read',
2 => 'writeapi',
3 => 'viewmywatchlist',
4 => 'editmywatchlist',
5 => 'viewmyprivateinfo',
6 => 'editmyprivateinfo',
7 => 'editmyoptions',
8 => 'abusefilter-log-detail',
9 => 'abusefilter-view',
10 => 'abusefilter-log',
11 => 'move-rootuserpages',
12 => 'edit',
13 => 'createpage',
14 => 'createtalk',
15 => 'upload',
16 => 'reupload',
17 => 'reupload-shared',
18 => 'minoredit',
19 => 'editmyusercss',
20 => 'editmyuserjson',
21 => 'editmyuserjs',
22 => 'purge',
23 => 'sendemail',
24 => 'applychangetags',
25 => 'changetags',
26 => 'editcontentmodel',
27 => 'spamblacklistlog'
] |
Pagina-ID (page_id) | 0 |
Paginanaamruimte (page_namespace) | 2 |
Paginanaam (zonder naamruimte) (page_title) | 'AlicaShiels' |
Volledige paginanaam (page_prefixedtitle) | 'Gebruiker:AlicaShiels' |
Handeling (action) | 'edit' |
Bewerkingssamenvatting (summary) | '' |
Oude inhoudsmodel (old_content_model) | '' |
Nieuw inhoudsmodel (new_content_model) | 'wikitext' |
Wikitekst van de oude pagina vóór de bewerking (old_wikitext) | '' |
Wikitekst van de nieuwe pagina ná de bewerking (new_wikitext) | 'As expected, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another cost method that may change intermediaries with cryptographic strategies and needs to be embedded within the analysis areas of SIGeBIZ and SIGSEC. In this paper we suggest to remedy this downside through the use of the methods originally developed for the computer-aided analysis for hardware and software techniques, specifically those based on the timed automata. On this paper we introduce a software to study and analyze the UTXO set, together with an in depth description of the set format and [https://www.neo-ides.com betting sites] 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 all the pieces you want to have the ability to separate truth 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. Typically, ui(t) features a few abrupt modifications, partitioning the historical past of Bitcoin into separate time intervals. In the initial part is high, fluctuating round (see Fig. 5), probably a results of transactions taking place between addresses belonging to a couple lovers making an attempt out the Bitcoin system by moving cash between their very own addresses.<br><br>Also visit my homepage :: [https://www.restorationsounds.com betting sites]' |
Unified diff van wijzigingen in bewerking (edit_diff) | '@@ -1,0 +1,1 @@
+As expected, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another cost method that may change intermediaries with cryptographic strategies and needs to be embedded within the analysis areas of SIGeBIZ and SIGSEC. In this paper we suggest to remedy this downside through the use of the methods originally developed for the computer-aided analysis for hardware and software techniques, specifically those based on the timed automata. On this paper we introduce a software to study and analyze the UTXO set, together with an in depth description of the set format and [https://www.neo-ides.com betting sites] 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 all the pieces you want to have the ability to separate truth 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. Typically, ui(t) features a few abrupt modifications, partitioning the historical past of Bitcoin into separate time intervals. In the initial part is high, fluctuating round (see Fig. 5), probably a results of transactions taking place between addresses belonging to a couple lovers making an attempt out the Bitcoin system by moving cash between their very own addresses.<br><br>Also visit my homepage :: [https://www.restorationsounds.com betting sites]
' |
Nieuwe paginagrootte (new_size) | 1575 |
Regels toegevoegd in bewerking (added_lines) | [
0 => 'As expected, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another cost method that may change intermediaries with cryptographic strategies and needs to be embedded within the analysis areas of SIGeBIZ and SIGSEC. In this paper we suggest to remedy this downside through the use of the methods originally developed for the computer-aided analysis for hardware and software techniques, specifically those based on the timed automata. On this paper we introduce a software to study and analyze the UTXO set, together with an in depth description of the set format and [https://www.neo-ides.com betting sites] 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 all the pieces you want to have the ability to separate truth 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. Typically, ui(t) features a few abrupt modifications, partitioning the historical past of Bitcoin into separate time intervals. In the initial part is high, fluctuating round (see Fig. 5), probably a results of transactions taking place between addresses belonging to a couple lovers making an attempt out the Bitcoin system by moving cash between their very own addresses.<br><br>Also visit my homepage :: [https://www.restorationsounds.com betting sites]'
] |
Regels verwijderd in bijdrage (removed_lines) | [] |
Of de wijziging wel of niet is gemaakt via een Tor-exitnode (tor_exit_node) | false |
UNIX-tijdstempel van wijziging (timestamp) | 1621324505 |