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 studying strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another fee technique that will change intermediaries with cryptographic methods and should be embedded in the analysis areas of SIGeBIZ and SIGSEC. On this paper we suggest to remedy this drawback by utilizing the methods originally developed for the computer-aided evaluation for hardware and software systems, particularly these primarily based on the timed automata. In this paper we introduce a tool [https://intensedebate.com/people/yearfelony4 where to buy bitcoin] check and analyze the UTXO set, together with an in depth description of the set format and functionality. This paper gives an evaluation of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know the whole lot you need [http://bvkrongbong.com/Default.aspx?tabid=120&ch=641332 where to buy bitcoin] be able to separate truth from fiction when studying claims about Bitcoin and different cryptocurrencies. We present the time-various contribution ui(t) of the primary six base networks on figure 2. Most often, ui(t) features just a few abrupt adjustments, partitioning the historical past of Bitcoin into separate time durations. Within the preliminary phase is excessive, fluctuating around (see Fig. 5), presumably a results of transactions taking place between addresses belonging [http://www.video-bookmark.com/bookmark/5055158/bitcoin-bounces-back-after-falling-beneath-$33,000---wsj/ where to buy bitcoin] some fanatics attempting 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 anticipated, the non-linear deep studying strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another fee technique that will change intermediaries with cryptographic methods and should be embedded in the analysis areas of SIGeBIZ and SIGSEC. On this paper we suggest to remedy this drawback by utilizing the methods originally developed for the computer-aided evaluation for hardware and software systems, particularly these primarily based on the timed automata. In this paper we introduce a tool [https://intensedebate.com/people/yearfelony4 where to buy bitcoin] check and analyze the UTXO set, together with an in depth description of the set format and functionality. This paper gives an evaluation of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know the whole lot you need [http://bvkrongbong.com/Default.aspx?tabid=120&ch=641332 where to buy bitcoin] be able to separate truth from fiction when studying claims about Bitcoin and different cryptocurrencies. We present the time-various contribution ui(t) of the primary six base networks on figure 2. Most often, ui(t) features just a few abrupt adjustments, partitioning the historical past of Bitcoin into separate time durations. Within the preliminary phase is excessive, fluctuating around (see Fig. 5), presumably a results of transactions taking place between addresses belonging [http://www.video-bookmark.com/bookmark/5055158/bitcoin-bounces-back-after-falling-beneath-$33,000---wsj/ where to buy bitcoin] some fanatics attempting out the Bitcoin system by moving money between their very own addresses.
|
Lignes ajoutées lors de la modification (added_lines) | As anticipated, the non-linear deep studying strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another fee technique that will change intermediaries with cryptographic methods and should be embedded in the analysis areas of SIGeBIZ and SIGSEC. On this paper we suggest to remedy this drawback by utilizing the methods originally developed for the computer-aided evaluation for hardware and software systems, particularly these primarily based on the timed automata. In this paper we introduce a tool [https://intensedebate.com/people/yearfelony4 where to buy bitcoin] check and analyze the UTXO set, together with an in depth description of the set format and functionality. This paper gives an evaluation of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know the whole lot you need [http://bvkrongbong.com/Default.aspx?tabid=120&ch=641332 where to buy bitcoin] be able to separate truth from fiction when studying claims about Bitcoin and different cryptocurrencies. We present the time-various contribution ui(t) of the primary six base networks on figure 2. Most often, ui(t) features just a few abrupt adjustments, partitioning the historical past of Bitcoin into separate time durations. Within the preliminary phase is excessive, fluctuating around (see Fig. 5), presumably a results of transactions taking place between addresses belonging [http://www.video-bookmark.com/bookmark/5055158/bitcoin-bounces-back-after-falling-beneath-$33,000---wsj/ where to buy bitcoin] some fanatics attempting out the Bitcoin system by moving money between their very own addresses.
|
Horodatage Unix de la modification (timestamp) | 1647843832 |