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 strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate payment method that may substitute intermediaries with cryptographic strategies and ought to be embedded within the research areas of SIGeBIZ and SIGSEC. In this paper we suggest [http://www.jwwab.com/index.php?qa=user&qa_1=camelbar31 where to buy bitcoin] treatment this downside by utilizing the strategies originally developed for the computer-aided analysis for hardware and software program programs, particularly these based on the timed automata. On this paper we introduce a instrument to review and analyze the UTXO set, along with an in depth description of the set format and performance. This paper gives an assessment of the current state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you want to be able to separate fact from fiction when reading claims about Bitcoin and other cryptocurrencies. We show the time-various contribution ui(t) of the first six base networks on figure 2. Typically, ui(t) options a couple of abrupt modifications, [https://mensvault.men/story.php?title=may-bitcoin-emissions-push-global-warming-above-2-%C2%B0c discuss] partitioning the historical past of Bitcoin into separate time intervals. In the preliminary part is high, fluctuating around (see Fig. 5), probably a results of transactions happening between addresses belonging to some lovers attempting out the Bitcoin system by shifting cash between their very own addresses.<br><br>Have a look at my page [https://git.sicom.gov.co/dimplechief86 https://git.sicom.gov.co/] |
Diff unifié des changements faits lors de la modification (edit_diff) | @@ -1,1 +1,1 @@
-%About_Yourself%
+As anticipated, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate payment method that may substitute intermediaries with cryptographic strategies and ought to be embedded within the research areas of SIGeBIZ and SIGSEC. In this paper we suggest [http://www.jwwab.com/index.php?qa=user&qa_1=camelbar31 where to buy bitcoin] treatment this downside by utilizing the strategies originally developed for the computer-aided analysis for hardware and software program programs, particularly these based on the timed automata. On this paper we introduce a instrument to review and analyze the UTXO set, along with an in depth description of the set format and performance. This paper gives an assessment of the current state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you want to be able to separate fact from fiction when reading claims about Bitcoin and other cryptocurrencies. We show the time-various contribution ui(t) of the first six base networks on figure 2. Typically, ui(t) options a couple of abrupt modifications, [https://mensvault.men/story.php?title=may-bitcoin-emissions-push-global-warming-above-2-%C2%B0c discuss] partitioning the historical past of Bitcoin into separate time intervals. In the preliminary part is high, fluctuating around (see Fig. 5), probably a results of transactions happening between addresses belonging to some lovers attempting out the Bitcoin system by shifting cash between their very own addresses.<br><br>Have a look at my page [https://git.sicom.gov.co/dimplechief86 https://git.sicom.gov.co/]
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Lignes ajoutées lors de la modification (added_lines) | As anticipated, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate payment method that may substitute intermediaries with cryptographic strategies and ought to be embedded within the research areas of SIGeBIZ and SIGSEC. In this paper we suggest [http://www.jwwab.com/index.php?qa=user&qa_1=camelbar31 where to buy bitcoin] treatment this downside by utilizing the strategies originally developed for the computer-aided analysis for hardware and software program programs, particularly these based on the timed automata. On this paper we introduce a instrument to review and analyze the UTXO set, along with an in depth description of the set format and performance. This paper gives an assessment of the current state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you want to be able to separate fact from fiction when reading claims about Bitcoin and other cryptocurrencies. We show the time-various contribution ui(t) of the first six base networks on figure 2. Typically, ui(t) options a couple of abrupt modifications, [https://mensvault.men/story.php?title=may-bitcoin-emissions-push-global-warming-above-2-%C2%B0c discuss] partitioning the historical past of Bitcoin into separate time intervals. In the preliminary part is high, fluctuating around (see Fig. 5), probably a results of transactions happening between addresses belonging to some lovers attempting out the Bitcoin system by shifting cash between their very own addresses.<br><br>Have a look at my page [https://git.sicom.gov.co/dimplechief86 https://git.sicom.gov.co/]
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Horodatage Unix de la modification (timestamp) | 1647771310 |
