Examiner des modifications individuelles
Cette page vous permet d'examiner les variables générées pour une modification individuelle par le filtre antiabus et de les tester avec les filtres.
Variables générées pour cette modification
| Variable | Valeur |
|---|---|
Si la modification est marquée comme mineure ou non (minor_edit) | |
Nom du compte d’utilisateur (user_name) | GGLCindi649 |
Groupes (y compris implicites) dont l'utilisateur est membre (user_groups) | *
user
autoconfirmed
|
Si un utilisateur est ou non en cours de modification via l’interface mobile (user_mobile) | |
Numéro de la page (article_articleid) | 3218 |
Espace de noms de la page (article_namespace) | 2 |
Titre de la page (sans l'espace de noms) (article_text) | GGLCindi649 |
Titre complet de la page (article_prefixedtext) | Utilisateur:GGLCindi649 |
Action (action) | edit |
Résumé/motif de la modification (summary) | |
Ancien modèle de contenu (old_content_model) | wikitext |
Nouveau modèle de contenu (new_content_model) | wikitext |
Ancien texte de la page, avant la modification (old_wikitext) | %About_Yourself% |
Nouveau texte de la page, après la modification (new_wikitext) | As expected, the non-linear deep studying strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate cost methodology that may replace intermediaries with cryptographic strategies and ought to be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we propose [https://digitaltibetan.win/wiki/Post:What_Motivates_People_To_Use_Bitcoin where to buy bitcoin] treatment this drawback through the use of the strategies originally developed for the computer-aided analysis for hardware and software techniques, in particular those primarily based on the timed automata. In this paper we introduce a tool to review and analyze the UTXO set, along with an in depth description of the set format and performance. This paper offers an assessment of the current state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know all the things you need to have the ability to separate reality from fiction when studying claims about Bitcoin and different cryptocurrencies. We show the time-varying contribution ui(t) of the primary six base networks on figure 2. Generally, ui(t) options a few abrupt adjustments, partitioning the historical past of Bitcoin into separate time intervals. In the preliminary part is high, fluctuating round (see Fig. 5), possibly a results of transactions taking place between addresses belonging to a few enthusiasts trying out the Bitcoin system by moving cash between their very own addresses. |
Diff unifié des changements faits lors de la modification (edit_diff) | @@ -1,1 +1,1 @@
-%About_Yourself%
+As expected, the non-linear deep studying strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate cost methodology that may replace intermediaries with cryptographic strategies and ought to be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we propose [https://digitaltibetan.win/wiki/Post:What_Motivates_People_To_Use_Bitcoin where to buy bitcoin] treatment this drawback through the use of the strategies originally developed for the computer-aided analysis for hardware and software techniques, in particular those primarily based on the timed automata. In this paper we introduce a tool to review and analyze the UTXO set, along with an in depth description of the set format and performance. This paper offers an assessment of the current state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know all the things you need to have the ability to separate reality from fiction when studying claims about Bitcoin and different cryptocurrencies. We show the time-varying contribution ui(t) of the primary six base networks on figure 2. Generally, ui(t) options a few abrupt adjustments, partitioning the historical past of Bitcoin into separate time intervals. In the preliminary part is high, fluctuating round (see Fig. 5), possibly a results of transactions taking place between addresses belonging to a few enthusiasts trying out the Bitcoin system by moving cash between their very own addresses.
|
Lignes ajoutées lors de la modification (added_lines) | As expected, the non-linear deep studying strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate cost methodology that may replace intermediaries with cryptographic strategies and ought to be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we propose [https://digitaltibetan.win/wiki/Post:What_Motivates_People_To_Use_Bitcoin where to buy bitcoin] treatment this drawback through the use of the strategies originally developed for the computer-aided analysis for hardware and software techniques, in particular those primarily based on the timed automata. In this paper we introduce a tool to review and analyze the UTXO set, along with an in depth description of the set format and performance. This paper offers an assessment of the current state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know all the things you need to have the ability to separate reality from fiction when studying claims about Bitcoin and different cryptocurrencies. We show the time-varying contribution ui(t) of the primary six base networks on figure 2. Generally, ui(t) options a few abrupt adjustments, partitioning the historical past of Bitcoin into separate time intervals. In the preliminary part is high, fluctuating round (see Fig. 5), possibly a results of transactions taking place between addresses belonging to a few enthusiasts trying out the Bitcoin system by moving cash between their very own addresses.
|
Horodatage Unix de la modification (timestamp) | 1647781570 |
