{"id":2766,"date":"2024-06-25T19:03:42","date_gmt":"2024-06-26T00:03:42","guid":{"rendered":"https:\/\/invitacionesdigitalesenmexico.online\/?p=2766"},"modified":"2024-06-26T09:28:57","modified_gmt":"2024-06-26T14:28:57","slug":"4833769071541530089","status":"publish","type":"post","link":"https:\/\/invitacionesdigitalesenmexico.online\/index.php\/2024\/06\/25\/4833769071541530089\/","title":{"rendered":"\u00c7erezler Ve Reklam Se\u00e7enekleri"},"content":{"rendered":"<h1>\u00c7erezler Ve Reklam Se\u00e7enekleri<\/h1>\n<p>YKS puan hesaplama, y\u00fczlerce \u00f6\u011frencimizin izin vermi\u015f verilerini kullanarak belirledi\u011fimiz tamamen bilimsel veriler \u0131\u015f\u0131\u011f\u0131nda katsay\u0131lar \u00fczerinden yap\u0131lmaktad\u0131r. YKS puan hesaplama,&nbsp;2023 TYT-AYT YKS net hesaplama ve YKS s\u0131ralama hesaplama yapabilece\u011finiz on-line hesaplama robotudur. TYT puan hesaplama ve AYT puan hesaplama i\u00e7in g\u00fcncel YKS verilerini kullan\u0131yoruz.<\/p>\n<p><!-- more --><\/p>\n<p>Buradaki ama\u00e7, adaylar\u0131n testlerden ald\u0131klar\u0131 puanlar\u0131 dengelemektir. Her denemeden sonra YKS Puan hesaplama robotunu kullanarak s\u0131nava y\u00f6nelik \u00e7al\u0131\u015fmalar\u0131n\u0131za puan odakl\u0131 bir perspektif kazand\u0131rabilirsiniz. YKS sonu\u00e7lar\u0131ndaki ba\u015far\u0131  s\u0131ralamas\u0131, puana g\u00f6re yap\u0131lmaktad\u0131r. Bu robota netlerinizi girerek ge\u00e7mi\u015f y\u0131llarda bu netler ile nas\u0131l bir s\u0131ralama elde edebilece\u011finizi \u00e7ok yakla\u015f\u0131k olarak g\u00f6rebilirsiniz. \u00c7\u0131km\u0131\u015f sorular\u0131 \u00e7\u00f6zen \u00f6\u011frenciler i\u00e7in o y\u0131l\u0131n zorluk seviyesini anlamak i\u00e7in bu y\u00f6ntem \u00e7ok faydal\u0131 olacakt\u0131r. TYT puan hesaplama YKS\u2019nin ilk oturumu olan TYT\u2019deki (Temel Yeterlilik Testi) netler kullan\u0131l\u0131r.<a href=\"https:\/\/evaclinicistanbul.org\">http:\/\/www.evaclinicistanbul.org\/<\/a><\/p>\n<p>Ayr\u0131ca kullan\u0131c\u0131n\u0131n diploma puan\u0131na g\u00f6re robot taraf\u0131ndan hesaplanan yerle\u015ftirme puan t\u00fcrleri olan Y-TYT, Y-SAY, Y-S\u00d6Z, Y-EA ve Y-D\u0130L alanlar\u0131nda puanlar\u0131 hesaplan\u0131r. Ayr\u0131ca izin verirseniz (Madde 49(1)(a) GDPR), Google veya Facebook gibi ABD&#8217;deki sa\u011flay\u0131c\u0131lardan \u00fc\u00e7\u00fcnc\u00fc taraf tan\u0131mlama bilgilerini de kullan\u0131yoruz. Verileriniz, GDPR ile kar\u015f\u0131la\u015ft\u0131r\u0131labilir bir veri koruma d\u00fczeyine sahip olmayan ABD&#8217;ye aktar\u0131labilir.<\/p>\n<p>Bu sayfada yer alan YKS puan ve s\u0131ralama hesaplama robotu Ertan Sinan \u015eahin taraf\u0131ndan titizlikle haz\u0131rlanm\u0131\u015ft\u0131r ve tamamen g\u00fcvenilirdir. T\u00fcm tan\u0131mlama bilgilerini reddederseniz, yaln\u0131zca teknik olarak gerekli tan\u0131mlama bilgileri kullan\u0131lacakt\u0131r. Ayr\u0131ca, daha sonra Tan\u0131mlama Bilgisi Ayarlar\u0131na eri\u015ferek onay\u0131n\u0131z\u0131 geri \u00e7ekebilirsiniz. Ayr\u0131ca bu \u00e7erezleri m\u00fc\u015fterilerin hizmetlerimizi nas\u0131l kulland\u0131klar\u0131n\u0131 anlamak (\u00f6rne\u011fin, website ziyaretlerini \u00f6l\u00e7erek) ve b\u00f6ylece iyile\u015ftirmeler yapabilmek i\u00e7in kullan\u0131yoruz.<\/p>\n<p>Futbol kar\u015f\u0131la\u015fmalar\u0131na y\u00f6nelik bahislerin dikkate al\u0131nd\u0131\u011f\u0131 bu \u00e7al\u0131\u015fma kapsam\u0131nda, bahis oynayan ki\u015filerin riske kar\u015f\u0131 tutumlar\u0131 Beklenti Teorisi\u2019nden (Prospect Theory) yararlan\u0131larak incelenmektedir. Kar\u015f\u0131la\u015fmalardan bir s\u00fcre \u00f6nce bu bahislerin oranlar\u0131 \u00e7e\u015fitli fakt\u00f6rler hesaba kat\u0131larak bahis \u015firketleri taraf\u0131ndan belirlenmekte ve ki\u015filerin oynamas\u0131 i\u00e7in bahse a\u00e7\u0131lmaktad\u0131r. Baz\u0131 sonu\u00e7lara y\u00fcksek miktarda bahis yap\u0131ld\u0131\u011f\u0131 zaman ilgili kar\u015f\u0131la\u015fma sonucunun bahis oranlar\u0131 \u015firket taraf\u0131ndan de\u011fi\u015ftirilmektedir. Bu de\u011fi\u015fiklikler, bahisler a\u00e7\u0131k kald\u0131\u011f\u0131 s\u00fcrece oranlar\u0131n g\u00fcncellenmesi ile sisteme yans\u0131t\u0131lmaktad\u0131r. \u00c7al\u0131\u015fma kapsam\u0131nda ev sahibi tak\u0131m\u0131n kazanmas\u0131, beraberlik ve deplasman tak\u0131m\u0131n\u0131n kazanmas\u0131 \u015feklinde sadece kar\u015f\u0131la\u015fman\u0131n sonucuna y\u00f6nelik bahisler dikkate al\u0131nm\u0131\u015ft\u0131r.<\/p>\n<p>AYT netleri ile TYT netlerinin ka\u00e7 puan getirdi\u011fini bilmek, dersler aras\u0131nda ne kadar fark olabildi\u011fini bilmek \u00f6\u011frencinin s\u0131nav\u0131 yak\u0131ndan tan\u0131mas\u0131 i\u00e7in ilk ko\u015fullardan biridir. Bu internet sitesi&nbsp;Creative Commons At\u0131f-GayriTicari four.zero Uluslararas\u0131 Lisans\u0131&nbsp;ile lisanslanm\u0131\u015ft\u0131r.<\/p>\n<p>Tan\u0131mlama bilgilerini harici medyadan kabul ederseniz, bu i\u00e7eriklere eri\u015fmek i\u00e7in art\u0131k elle izin vermenize gerek yoktur. Pazarlama tan\u0131mlama bilgileri, \u00fc\u00e7\u00fcnc\u00fc \u015fah\u0131slar veya yay\u0131mc\u0131lar taraf\u0131ndan size ki\u015fiselle\u015ftirilmi\u015f reklam g\u00f6stermek i\u00e7in kullan\u0131l\u0131r. Bunu, ziyaret\u00e7ilerin hangi net sitelerini kulland\u0131klar\u0131n\u0131 izleyerek yapmaktad\u0131rlar. Burada, kullan\u0131lan t\u00fcm tan\u0131mlama bilgileri ile ilgili bir genel bak\u0131\u015f bulabilir, ayr\u0131nt\u0131l\u0131 bilgi alabilir ve hangi tan\u0131mlama bilgisi t\u00fcrlerini kabul edece\u011finize karar verebilirsiniz.<\/p>\n<ul>\n<li>Ayn\u0131 test i\u00e7indeki zor sorular daha fazla puan getirmez.<\/li>\n<li>Buradaki ama\u00e7, adaylar\u0131n testlerden ald\u0131klar\u0131 puanlar\u0131 dengelemektir.<\/li>\n<li>Bu robotic diploma puan\u0131na g\u00f6re OBP hesaplamas\u0131 yaparak ham puana ekler ve yerle\u015ftirme puan\u0131n\u0131 bulur.<\/li>\n<li>S\u00f6zel puan t\u00fcr\u00fcnde yerle\u015ftirmede kullan\u0131lan puan olan Y-S\u00d6Z hesaplan\u0131rken OBP\u2019den gelen ek puan eklenir.<\/li>\n<li>Herhangi bir testte yanl\u0131\u015f yap\u0131lan soru say\u0131s\u0131n\u0131n d\u00f6rtte biri do\u011fru say\u0131s\u0131ndan \u00e7\u0131kar\u0131l\u0131r.<\/li>\n<\/ul>\n<p>Say\u0131sal alan\u0131nda yerle\u015ftirmede kullan\u0131lan puan t\u00fcr\u00fc olan Y-SAY hesaplan\u0131rken ham puana OBP\u2019den gelen ek puan eklenir. Yukar\u0131daki tablo kullan\u0131larak dil ham puan hesaplanabilir. Dil puan t\u00fcr\u00fcnde yerle\u015ftirme i\u00e7in kullan\u0131lan Y-D\u0130L hesaplan\u0131rken dil ham puana OBP\u2019den gelen ek puan da eklenir. E\u015fit a\u011f\u0131rl\u0131k (EA) puan t\u00fcr\u00fcnde puan hesaplan\u0131rken TYT\u2019de yer alan testler ve AYT\u2019de yer alan Matematik, Edebiyat, Tarih-1, Co\u011frafya-1 testleri dikkate al\u0131n\u0131r. TYT, say\u0131sal, e\u015fit a\u011f\u0131rl\u0131k, s\u00f6zel, dil alanlar\u0131nda \u00f6nce do\u011fru ve yanl\u0131\u015f say\u0131lar\u0131 kullan\u0131larak ham puan hesaplamas\u0131 yap\u0131l\u0131r. Bu hesaplamada \u00d6SYM\u2019nin a\u00e7\u0131klad\u0131\u011f\u0131 sonu\u00e7lar baz al\u0131nmaktad\u0131r.<\/p>\n<p><h2>The Bet Teriminin I\u0307ngilizce I\u0307ngilizce S\u00f6zl\u00fckte Anlam\u0131<\/h2>\n<\/p>\n<p>\u00d6SYM sonu\u00e7 belgesinde \u201cS\u0131nav puanlar\u0131 ve ba\u015far\u0131 s\u0131ralar\u0131\u201d ba\u015fl\u0131kl\u0131 kutucukta yer alan TYT puan\u0131 TYT ham puand\u0131r. Bu puan, TYT\u2019de yer alan T\u00fcrk\u00e7e, Sosyal Bilimler, Temel Matematik ve Fen Bilimleri testlerindeki netlere g\u00f6re hesaplan\u0131r. Ayn\u0131 check i\u00e7indeki zor sorular daha fazla puan getirmez. Ancak T\u00fcrk\u00e7e ve matematik testlerinin bir sorusu farkl\u0131 puanlar getirebilir. \u00dclke \u00e7ap\u0131nda testlerde elde edilen ba\u015far\u0131lar testlerin bir sorusunun puan\u0131n\u0131 belirlemektedir. OBP 0,12 katsay\u0131s\u0131 ile \u00e7arp\u0131larak ham puana eklendi\u011finde yerle\u015ftirme puan\u0131 hesaplanm\u0131\u015f olur.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width=\"303px\" alt=\"Into Bet\"\/><\/p>\n<p>IOS, Android ve Windows mobil platformlarda on-line ve offline s\u00f6zl\u00fck programlar\u0131. Sesli S\u00f6zl\u00fck garantisinde Profesyonel \u00e7eviri hizmetleri. Ayarlar b\u00f6l\u00fcm\u00fcn\u00fc kullarak \u00e7evirisini g\u00f6rmek istedi\u011finiz s\u00f6zl\u00fckleri se\u00e7me ve ayn\u0131 zamanda s\u00f6zl\u00fcklerin g\u00f6sterim s\u0131ras\u0131n\u0131 ayarlama imkan\u0131. Kelimelerin seslendirili\u015fini otomatik dinlemek i\u00e7in ayarlardan iste\u011finiz aksan\u0131 se\u00e7ebilirsiniz. Bu \u00f6\u011frenciler TYT testlerin sonu\u00e7lar\u0131 da dahil edilerek hesaplanan YKS yerle\u015ftirme puanlar\u0131n\u0131 kullan\u0131rlar. Bir y\u0131l T\u00fcrk\u00e7e sorular\u0131 \u00e7ok zorsa o y\u0131l T\u00fcrk\u00e7e netleri d\u00fc\u015f\u00fck oldu\u011fu i\u00e7in 1 T\u00fcrk\u00e7e sorusunun getirdi\u011fi puan artar.<\/p>\n<p>Puan hesab\u0131 yap\u0131l\u0131rken, bir ba\u015flang\u0131\u00e7 puan de\u011feri \u00fczerine her netin getirdi\u011fi puanlar eklenir. Okul not ortalaman\u0131z da 0,6 ile \u00e7arp\u0131l\u0131p ham puana eklenir ve b\u00f6ylece yerle\u015ftirme puan\u0131n\u0131z\u0131 elde edersiniz. AYT puan\u0131 hesaplan\u0131rken TYT\u2019nin testlerinden elde edilen netler de puan hesab\u0131nda kullan\u0131l\u0131r. YKS yerle\u015ftirme puan\u0131yla 4 y\u0131ll\u0131k fak\u00fcltelere yerle\u015fmek isteyen \u00f6\u011frenciler do\u011frudan TYT puanlar\u0131 kullanmazlar. TYT, SAY, S\u00d6Z, EA ve D\u0130L ham puanlar hesapland\u0131ktan sonra yerle\u015ftirme puan\u0131 bulunur. Bu robot diploma puan\u0131na g\u00f6re OBP hesaplamas\u0131 yaparak ham puana ekler ve yerle\u015ftirme puan\u0131n\u0131 bulur.<\/p>\n<p><h3>Bet Equation<\/h3>\n<\/p>\n<p>Web sitemizdeki ziyaret\u00e7ilerimiz ve davran\u0131\u015flar\u0131 hakk\u0131nda veri topluyor ve birle\u015ftiriyoruz. Bu bilgi, web sitemizi iyile\u015ftirmek i\u00e7in kullan\u0131lmaktad\u0131r. Yerle\u015ftirme ba\u015far\u0131 s\u0131ralamas\u0131 Y-TYT, Y-SAY, Y-S\u00d6Z, Y-EA, Y-D\u0130L puan t\u00fcrlerindeki ba\u015far\u0131 s\u0131ralamas\u0131d\u0131r.<\/p>\n<p><h3>Wager Teriminin I\u0307ngilizce I\u0307ngilizce S\u00f6zl\u00fckte Anlam\u0131<\/h3>\n<\/p>\n<p>Gerekli tan\u0131mlama bilgileri, web sitesinin temel i\u015fleyi\u015fini sa\u011flar. 20 milyondan fazla s\u00f6zc\u00fck ve anlam\u0131 \u00fc\u00e7 farkl\u0131 aksanda dinleme se\u00e7ene\u011fi. Etimoloji, E\u015f ve Z\u0131t anlamlar, kelime okunu\u015flar\u0131 ve g\u00fcn\u00fcn kelimesi. Yaz\u0131m T\u00fcrk\u00e7ele\u015ftirici ile hatal\u0131 T\u00fcrk\u00e7e metinleri d\u00fczeltme.<\/p>\n<p>Robotumuz puan hesaplama yaparken \u00d6SYM\u2019nin belirledi\u011fi katsay\u0131lar\u0131 kullan\u0131r. Bu sebeple puan hesaplama robotunda hesaplanan puanlar tam olarak do\u011frudur. Video ve sosyal medya platformlar\u0131ndan gelen i\u00e7erik varsay\u0131lan olarak engellenir.<\/p>\n<p><h2>Guess Teriminin T\u00fcrk\u00e7e T\u00fcrk\u00e7e S\u00f6zl\u00fckte Anlam\u0131<\/h2>\n<\/p>\n<p>Yerle\u015ftirme puan t\u00fcrleri Y-TYT, Y-SAY, Y-S\u00d6Z, Y-EA ve Y-D\u0130L\u2019dir. YKS yerle\u015ftirme puanlar\u0131 ilgili puan t\u00fcr\u00fcnde ham puana OBP\u2019den (Okul Ba\u015far\u0131 Puan\u0131) gelen ek puan eklenerek hesaplan\u0131r. Robota girilen do\u011fru yanl\u0131\u015f say\u0131lar\u0131na g\u00f6re robot taraf\u0131ndan netler hesaplan\u0131r  ve TYT, SAY, S\u00d6Z, EA ve D\u0130L alanlar\u0131nda puan hesaplamas\u0131 yap\u0131l\u0131r.<\/p>\n<p>2023 YKS puan ve s\u0131ralama hesaplama i\u00e7in en tutarl\u0131 online robot. Her y\u0131l \u00d6SYM t\u00fcm s\u0131nav sonu\u00e7lar\u0131n\u0131 de\u011ferlendirerek o y\u0131l testlerde adaylar\u0131n g\u00f6sterdi\u011fi ba\u015far\u0131ya g\u00f6re testlerden ald\u0131klar\u0131 puanlar\u0131 dengeleyecek \u015fekilde katsay\u0131lar\u0131 hesaplar. \u201cZor sorular daha \u00e7ok puan getiriyor\u201d bilgisi kesin olarak yanl\u0131\u015ft\u0131r. TYT\u2019de fen sorular\u0131 aras\u0131nda fark yoktur, AYT\u2019de fen sorular\u0131 aras\u0131nda fark olabilir. Hesaplanan puanlar ger\u00e7ek sonu\u00e7lar i\u00e7eren veri taban\u0131m\u0131zdaki sonu\u00e7larla kar\u015f\u0131la\u015ft\u0131r\u0131larak robotic taraf\u0131ndan t\u00fcm puan t\u00fcrlerinde YKS s\u0131ralama hesaplama i\u015flemi yap\u0131l\u0131r.<\/p>\n<p>Bu durumda verilerinize ABD Yetkilileri taraf\u0131ndan g\u00f6zetim amac\u0131yla eri\u015fim sa\u011flanabilir ve etkili yasal yollara ba\u015fvurman\u0131z m\u00fcmk\u00fcn olmayabilir. Her puan t\u00fcr\u00fcnde, ham puan\u0131n \u00fczerine OBP eklenerek aday\u0131n yerle\u015ftirme puan\u0131 hesaplan\u0131r. TYT, SAY, S\u00d6Z, EA, D\u0130L puan t\u00fcrlerinde ham puana OBP eklenerek Y-TYT, Y-SAY, Y-S\u00d6Z, Y-EA, Y-D\u0130L yerle\u015ftirme puanlar\u0131 hesaplan\u0131r.<\/p>\n<p><h2>\u00dcr\u00fcn Bilgileri<\/h2>\n<\/p>\n<p>E\u011fer puan\u0131 hesaplanan aday bir \u00f6nceki y\u0131l bir y\u00fcksek \u00f6\u011fretim kurumuna yerle\u015ftirilmi\u015fse ham puana eklenecek puan OBP0,12 ile de\u011fil, 0,6 ile \u00e7arp\u0131larak bulunur. Yani bir \u00f6nceki y\u0131l yerle\u015fmi\u015f adaylar i\u00e7in OBP yar\u0131ya d\u00fc\u015f\u00fcr\u00fcl\u00fcr. YKS puan hesaplama robotu netlerinizi ekleyerek YKS puan\u0131n\u0131z\u0131 ve s\u0131ralamalar\u0131n\u0131z\u0131 hesaplad\u0131\u011f\u0131n\u0131zda sonucunuzu kaydetmek i\u00e7in giri\u015f yapman\u0131z gerekir. \u00dccretsiz olarak internet sitemize \u00fcye olarak YKS puan hesaplama sonu\u00e7lar\u0131n\u0131z\u0131 kaydedebilirsiniz.<\/p>\n<p>Bir testin zor olmas\u0131 durumunda o testteki \u00fclke ortalamalar\u0131 d\u00fc\u015fer. Bu de\u011fi\u015fikliklerin miktar\u0131 bir testin zorlu\u011funun seviyesine ba\u011fl\u0131 olarak de\u011fi\u015fir. \u00d6rne\u011fin TYT web hesaplama i\u00e7in T\u00fcrk\u00e7e, Temel Matematik, Sosyal Bilimler, Fen Bilgisi testlerindeki do\u011fru say\u0131lar\u0131ndan, bu testlerdeki yanl\u0131\u015flar\u0131n d\u00f6rtte biri \u00e7\u0131kar\u0131l\u0131r. Diploma notunun one hundred \u00fczerinden olmas\u0131 durumunda diploma notunun 5 kat\u0131d\u0131r. Diploma notu bilinmeyen veya 100 \u00fczerinden 50\u2019nin alt\u0131nda \u00f6\u011frenciler i\u00e7in OBP 250 olarak hesaplan\u0131r. Herhangi bir testte yanl\u0131\u015f yap\u0131lan soru say\u0131s\u0131n\u0131n d\u00f6rtte biri do\u011fru say\u0131s\u0131ndan \u00e7\u0131kar\u0131l\u0131r.<\/p>\n<p>YKS puan hesaplama yap\u0131l\u0131rken, bir ba\u015flang\u0131\u00e7 puan\u0131 \u00fczerine her testteki netler o testin katsay\u0131s\u0131 ile \u00e7arp\u0131larak eklenir. Okul not ortalamas\u0131 da 0,6 ile \u00e7arp\u0131l\u0131p ham puana eklenir ve b\u00f6ylece yerle\u015ftirme puan\u0131n\u0131 elde edilir. Yukar\u0131daki tabloda verilen de\u011ferler kullan\u0131larak s\u00f6zel ham puan hesaplan\u0131r. S\u00f6zel puan t\u00fcr\u00fcnde yerle\u015ftirmede kullan\u0131lan puan olan Y-S\u00d6Z hesaplan\u0131rken OBP\u2019den gelen ek puan eklenir. Yukar\u0131daki tabloyu kullanarak say\u0131sal ham puan hesaplan\u0131r.<\/p>\n<p>Her y\u0131l \u00d6SYM t\u00fcm adaylar\u0131n sonu\u00e7lar\u0131n\u0131 de\u011ferlendirerek her y\u0131l katsay\u0131lar\u0131n ne oldu\u011funu belirler. Say\u0131sal (SAY) puan t\u00fcr\u00fcnde puan hesaplan\u0131rken TYT\u2019de yer alan testler ve AYT\u2019de yer alan Matematik, Fizik, Kimya, Biyoloji testleri dikkate al\u0131n\u0131r. Dil (D\u0130L) puan t\u00fcr\u00fcnde puan hesaplan\u0131rken TYT\u2019de yer alan testler ve YDT testi dikkate al\u0131n\u0131r.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>YKS puan hesaplama, y\u00fczlerce \u00f6\u011frencimizin izin vermi\u015f verilerini kullanarak belirledi\u011fimiz tamamen bilimsel veriler \u0131\u015f\u0131\u011f\u0131nda katsay\u0131lar \u00fczerinden yap\u0131lmaktad\u0131r. YKS puan hesaplama,&nbsp;2023 TYT-AYT YKS net hesaplama ve YKS s\u0131ralama hesaplama yapabilece\u011finiz on-line hesaplama robotudur. TYT puan hesaplama ve AYT puan hesaplama i\u00e7in g\u00fcncel YKS verilerini kullan\u0131yoruz.<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2766","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/invitacionesdigitalesenmexico.online\/index.php\/wp-json\/wp\/v2\/posts\/2766","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/invitacionesdigitalesenmexico.online\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/invitacionesdigitalesenmexico.online\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/invitacionesdigitalesenmexico.online\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/invitacionesdigitalesenmexico.online\/index.php\/wp-json\/wp\/v2\/comments?post=2766"}],"version-history":[{"count":1,"href":"https:\/\/invitacionesdigitalesenmexico.online\/index.php\/wp-json\/wp\/v2\/posts\/2766\/revisions"}],"predecessor-version":[{"id":2767,"href":"https:\/\/invitacionesdigitalesenmexico.online\/index.php\/wp-json\/wp\/v2\/posts\/2766\/revisions\/2767"}],"wp:attachment":[{"href":"https:\/\/invitacionesdigitalesenmexico.online\/index.php\/wp-json\/wp\/v2\/media?parent=2766"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/invitacionesdigitalesenmexico.online\/index.php\/wp-json\/wp\/v2\/categories?post=2766"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/invitacionesdigitalesenmexico.online\/index.php\/wp-json\/wp\/v2\/tags?post=2766"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}