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 anticipated, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another payment method that may change intermediaries with cryptographic methods and must be embedded within the research areas of SIGeBIZ and SIGSEC. In this paper we propose to treatment this downside by utilizing the strategies originally developed for the pc-aided evaluation for hardware and software program programs, particularly these primarily based on the timed automata. On this paper we introduce a tool [https://mirintima96.ru/user/spearblouse95/ where to buy bitcoin] study and analyze the UTXO set, together 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 evaluation examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every thing you want to have the ability [https://lovewiki.faith/wiki/An_Evaluation_Of_Bitcoin_Change_Charges_By_Jacob_Smith_SSRN where to buy bitcoin] separate fact from fiction when studying claims about Bitcoin and other cryptocurrencies. We show the time-varying contribution ui(t) of the primary six base networks on determine 2. Generally, ui(t) options a few abrupt modifications, partitioning the historical past of Bitcoin into separate time periods. Within the initial phase is high, fluctuating round (see Fig. 5), probably a results of transactions happening between addresses belonging [https://timeoftheworld.date/wiki/Steve_Wozniak_Sues_YouTube_Over_Bitcoin_Ripoff_Movies_Utilizing_His_Title where to buy bitcoin] a couple fans making an attempt out the Bitcoin system by shifting cash between their very own addresses. |
Diff unifié des changements faits lors de la modification (edit_diff) | @@ -1,1 +1,1 @@
-%About_Yourself%
+As anticipated, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another payment method that may change intermediaries with cryptographic methods and must be embedded within the research areas of SIGeBIZ and SIGSEC. In this paper we propose to treatment this downside by utilizing the strategies originally developed for the pc-aided evaluation for hardware and software program programs, particularly these primarily based on the timed automata. On this paper we introduce a tool [https://mirintima96.ru/user/spearblouse95/ where to buy bitcoin] study and analyze the UTXO set, together 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 evaluation examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every thing you want to have the ability [https://lovewiki.faith/wiki/An_Evaluation_Of_Bitcoin_Change_Charges_By_Jacob_Smith_SSRN where to buy bitcoin] separate fact from fiction when studying claims about Bitcoin and other cryptocurrencies. We show the time-varying contribution ui(t) of the primary six base networks on determine 2. Generally, ui(t) options a few abrupt modifications, partitioning the historical past of Bitcoin into separate time periods. Within the initial phase is high, fluctuating round (see Fig. 5), probably a results of transactions happening between addresses belonging [https://timeoftheworld.date/wiki/Steve_Wozniak_Sues_YouTube_Over_Bitcoin_Ripoff_Movies_Utilizing_His_Title where to buy bitcoin] a couple fans making an attempt out the Bitcoin system by shifting cash between their very own addresses.
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Lignes ajoutées lors de la modification (added_lines) | As anticipated, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another payment method that may change intermediaries with cryptographic methods and must be embedded within the research areas of SIGeBIZ and SIGSEC. In this paper we propose to treatment this downside by utilizing the strategies originally developed for the pc-aided evaluation for hardware and software program programs, particularly these primarily based on the timed automata. On this paper we introduce a tool [https://mirintima96.ru/user/spearblouse95/ where to buy bitcoin] study and analyze the UTXO set, together 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 evaluation examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every thing you want to have the ability [https://lovewiki.faith/wiki/An_Evaluation_Of_Bitcoin_Change_Charges_By_Jacob_Smith_SSRN where to buy bitcoin] separate fact from fiction when studying claims about Bitcoin and other cryptocurrencies. We show the time-varying contribution ui(t) of the primary six base networks on determine 2. Generally, ui(t) options a few abrupt modifications, partitioning the historical past of Bitcoin into separate time periods. Within the initial phase is high, fluctuating round (see Fig. 5), probably a results of transactions happening between addresses belonging [https://timeoftheworld.date/wiki/Steve_Wozniak_Sues_YouTube_Over_Bitcoin_Ripoff_Movies_Utilizing_His_Title where to buy bitcoin] a couple fans making an attempt out the Bitcoin system by shifting cash between their very own addresses.
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Horodatage Unix de la modification (timestamp) | 1647732568 |