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 methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate fee methodology that may exchange intermediaries with cryptographic methods and must be embedded within the analysis areas of SIGeBIZ and SIGSEC. In this paper we suggest to treatment this drawback by utilizing the methods initially developed for the computer-aided analysis for hardware and software techniques, specifically those primarily based on the timed automata. On this paper we introduce a software [http://6qxn.com/home.php?mod=space&uid=301793 where to buy bitcoin] review and analyze the UTXO set, along with a detailed description of the set format and performance. This paper offers an assessment of the present state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every part you need to be able [https://sementivae.com/author/puppyfang22/ where to buy bitcoin] separate fact from fiction when reading claims about Bitcoin and different cryptocurrencies. We show the time-varying contribution ui(t) of the primary six base networks on figure 2. Usually, ui(t) features a few abrupt adjustments, partitioning the historical past of Bitcoin into separate time periods. Within the initial section is high, fluctuating round (see Fig. 5), possibly a result of transactions happening between addresses belonging to some enthusiasts trying out the Bitcoin system by moving money 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 methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate fee methodology that may exchange intermediaries with cryptographic methods and must be embedded within the analysis areas of SIGeBIZ and SIGSEC. In this paper we suggest to treatment this drawback by utilizing the methods initially developed for the computer-aided analysis for hardware and software techniques, specifically those primarily based on the timed automata. On this paper we introduce a software [http://6qxn.com/home.php?mod=space&uid=301793 where to buy bitcoin] review and analyze the UTXO set, along with a detailed description of the set format and performance. This paper offers an assessment of the present state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every part you need to be able [https://sementivae.com/author/puppyfang22/ where to buy bitcoin] separate fact from fiction when reading claims about Bitcoin and different cryptocurrencies. We show the time-varying contribution ui(t) of the primary six base networks on figure 2. Usually, ui(t) features a few abrupt adjustments, partitioning the historical past of Bitcoin into separate time periods. Within the initial section is high, fluctuating round (see Fig. 5), possibly a result of transactions happening between addresses belonging to some enthusiasts trying out the Bitcoin system by moving money between their very own addresses.
|
Lignes ajoutées lors de la modification (added_lines) | As expected, the non-linear deep studying methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate fee methodology that may exchange intermediaries with cryptographic methods and must be embedded within the analysis areas of SIGeBIZ and SIGSEC. In this paper we suggest to treatment this drawback by utilizing the methods initially developed for the computer-aided analysis for hardware and software techniques, specifically those primarily based on the timed automata. On this paper we introduce a software [http://6qxn.com/home.php?mod=space&uid=301793 where to buy bitcoin] review and analyze the UTXO set, along with a detailed description of the set format and performance. This paper offers an assessment of the present state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every part you need to be able [https://sementivae.com/author/puppyfang22/ where to buy bitcoin] separate fact from fiction when reading claims about Bitcoin and different cryptocurrencies. We show the time-varying contribution ui(t) of the primary six base networks on figure 2. Usually, ui(t) features a few abrupt adjustments, partitioning the historical past of Bitcoin into separate time periods. Within the initial section is high, fluctuating round (see Fig. 5), possibly a result of transactions happening between addresses belonging to some enthusiasts trying out the Bitcoin system by moving money between their very own addresses.
|
Horodatage Unix de la modification (timestamp) | 1647846196 |
