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 an alternate payment technique which will replace intermediaries with cryptographic strategies and ought [https://canvas.instructure.com/eportfolios/987518/Home/3_The_Explanation_Why_Bitcoin_Price_Rallied_Toward_45K_Getting_Into_March where to buy bitcoin] be embedded in the analysis areas of SIGeBIZ and SIGSEC. In this paper we suggest to treatment this problem by using the strategies originally developed for the computer-aided evaluation for hardware and software program systems, in particular these primarily based on the timed automata. In this paper we introduce a instrument to study and analyze the UTXO set, along with a detailed description of the set format and functionality. This paper gives an assessment of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know all the pieces you need to have the ability to separate fact from fiction when studying claims about Bitcoin and other cryptocurrencies. We show the time-various contribution ui(t) of the first six base networks on figure 2. Most often, ui(t) features a couple of abrupt adjustments, partitioning the historical past of Bitcoin into separate time intervals. In the preliminary section is high, fluctuating around (see Fig. 5), possibly a results of transactions happening between addresses belonging [https://pbase.com/topics/yearduck23/life_cycle_assessment_of_bit where to buy bitcoin] a few enthusiasts trying out the Bitcoin system by shifting money between their very own addresses.<br><br>My web site: [https://git.sicom.gov.co/dimplechief86 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 methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate payment technique which will replace intermediaries with cryptographic strategies and ought [https://canvas.instructure.com/eportfolios/987518/Home/3_The_Explanation_Why_Bitcoin_Price_Rallied_Toward_45K_Getting_Into_March where to buy bitcoin] be embedded in the analysis areas of SIGeBIZ and SIGSEC. In this paper we suggest to treatment this problem by using the strategies originally developed for the computer-aided evaluation for hardware and software program systems, in particular these primarily based on the timed automata. In this paper we introduce a instrument to study and analyze the UTXO set, along with a detailed description of the set format and functionality. This paper gives an assessment of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know all the pieces you need to have the ability to separate fact from fiction when studying claims about Bitcoin and other cryptocurrencies. We show the time-various contribution ui(t) of the first six base networks on figure 2. Most often, ui(t) features a couple of abrupt adjustments, partitioning the historical past of Bitcoin into separate time intervals. In the preliminary section is high, fluctuating around (see Fig. 5), possibly a results of transactions happening between addresses belonging [https://pbase.com/topics/yearduck23/life_cycle_assessment_of_bit where to buy bitcoin] a few enthusiasts trying out the Bitcoin system by shifting money between their very own addresses.<br><br>My web site: [https://git.sicom.gov.co/dimplechief86 git.sicom.gov.co]
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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 an alternate payment technique which will replace intermediaries with cryptographic strategies and ought [https://canvas.instructure.com/eportfolios/987518/Home/3_The_Explanation_Why_Bitcoin_Price_Rallied_Toward_45K_Getting_Into_March where to buy bitcoin] be embedded in the analysis areas of SIGeBIZ and SIGSEC. In this paper we suggest to treatment this problem by using the strategies originally developed for the computer-aided evaluation for hardware and software program systems, in particular these primarily based on the timed automata. In this paper we introduce a instrument to study and analyze the UTXO set, along with a detailed description of the set format and functionality. This paper gives an assessment of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know all the pieces you need to have the ability to separate fact from fiction when studying claims about Bitcoin and other cryptocurrencies. We show the time-various contribution ui(t) of the first six base networks on figure 2. Most often, ui(t) features a couple of abrupt adjustments, partitioning the historical past of Bitcoin into separate time intervals. In the preliminary section is high, fluctuating around (see Fig. 5), possibly a results of transactions happening between addresses belonging [https://pbase.com/topics/yearduck23/life_cycle_assessment_of_bit where to buy bitcoin] a few enthusiasts trying out the Bitcoin system by shifting money between their very own addresses.<br><br>My web site: [https://git.sicom.gov.co/dimplechief86 git.sicom.gov.co]
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Horodatage Unix de la modification (timestamp) | 1647797898 |