{"id":12279,"date":"2020-08-31T19:53:54","date_gmt":"2020-08-31T22:53:54","guid":{"rendered":"https:\/\/datamarnews.com\/?post_type=noticias&#038;p=12279"},"modified":"2020-09-29T17:08:21","modified_gmt":"2020-09-29T20:08:21","slug":"dados-de-julho-as-importacoes-resistem-exportacoes-ganham-forca","status":"publish","type":"noticias","link":"https:\/\/datamarnews.com\/pt\/noticias\/dados-de-julho-as-importacoes-resistem-exportacoes-ganham-forca\/","title":{"rendered":"Dados de julho: as importa\u00e7\u00f5es resistem; exporta\u00e7\u00f5es ganham for\u00e7a"},"content":{"rendered":"<p>Os dados de julho do DataLiner, que ser\u00e3o divulgados hoje, 1 de setembro, apontam que as importa\u00e7\u00f5es para a Costa Leste da Am\u00e9rica do Sul aumentaram em rela\u00e7\u00e3o aos meses anteriores. Mesmo assim, ainda est\u00e3o bastante baixos em compara\u00e7\u00e3o com os \u00faltimos dois anos, mas est\u00e3o se recuperando de acordo com os volumes sazonais esperados. Nesse \u00ednterim, as exporta\u00e7\u00f5es aumentaram ainda mais, ganhando for\u00e7a.<\/p>\n<p>Confira no gr\u00e1fico a seguir as importa\u00e7\u00f5es de carga da Costa Leste da Am\u00e9rica do Sul no comparativo dos sete primeiros meses de 2020 em rela\u00e7\u00e3o a 2018 e 2019:<\/p>\n<p>&nbsp;<\/p>\n<div>\n<div style=\"text-align: center;\"><b>Importa\u00e7\u00f5es da Costa Leste da Am\u00e9rica do Sul | Jan a Julho 2018-2020 (TEU)<\/b><\/div>\n<div>\n<div style=\"text-align: center;\"><\/div>\n<div>\n<div style=\"text-align: center;\"><strong>\n    <script type=\"text\/javascript\">\n        if (typeof (wpDataCharts) == 'undefined') wpDataCharts = {};\n        wpDataCharts[411] = {\n            render_data: {\"wdtNumberFormat\":\"1\",\"options\":{\"title\":{\"text\":\"\",\"floating\":false,\"align\":\"center\"},\"series\":[{\"type\":\"\",\"name\":\"2018\",\"color\":\"\",\"label\":\"2018\",\"orig_header\":\"wdtcolumn\",\"data\":[282546,260016,279041,252194,276726,260001,303625],\"yAxis\":0},{\"type\":\"\",\"name\":\"2019\",\"color\":\"\",\"label\":\"2019\",\"orig_header\":\"wdtcolumn1\",\"data\":[248961,230729,247673,256712,263405,266886,284867],\"yAxis\":0},{\"type\":\"\",\"name\":\"2020\",\"color\":\"rgb(217,83,79)\",\"label\":\"2020\",\"orig_header\":\"wdtcolumn2\",\"data\":[285382,258991,240895,255501,206457,162903,200864],\"yAxis\":0}],\"xAxis\":{\"categories\":[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\"],\"crosshair\":false},\"yAxis\":[{\"gridLineDashStyle\":\"shortdashdotdot\",\"title\":{\"text\":\"Volume (TEU)\"},\"crosshair\":false},[],[]],\"chart\":{\"backgroundColor\":\"\",\"borderWidth\":0,\"borderColor\":\"\",\"borderRadius\":0,\"zoomType\":\"none\",\"panning\":false,\"panKey\":\"shift\",\"plotBackgroundColor\":\"\",\"plotBackgroundImage\":\"\",\"plotBorderColor\":\"\",\"plotBorderWidth\":\"\",\"inverted\":false},\"subtitle\":{\"text\":\"\",\"align\":\"center\"},\"tooltip\":{\"enabled\":true,\"backgroundColor\":\"rgba(255,255,255,0.85)\",\"borderWidth\":\"1\",\"borderColor\":\"\",\"borderRadius\":3,\"shared\":false,\"valuePrefix\":\"\",\"valueSuffix\":\" TEU\"},\"legend\":{\"enabled\":true,\"backgroundColor\":\"\",\"title\":{\"text\":\"\"},\"layout\":\"horizontal\",\"align\":\"center\",\"verticalAlign\":\"bottom\",\"borderWidth\":\"0\",\"borderColor\":\"\",\"borderRadius\":\"0\"},\"exporting\":{\"enabled\":false,\"chartOptions\":{\"plotOptions\":{\"series\":{\"dataLabels\":{\"enabled\":false}}}},\"filename\":\"\",\"width\":\"\",\"buttons\":{\"contextButton\":{\"align\":\"right\",\"verticalAlign\":\"top\",\"symbolStroke\":\"#666\",\"text\":\"\"}}},\"credits\":{\"enabled\":false,\"href\":\"http:\\\/\\\/www.highcharts.com\",\"text\":\"Highcharts.com\"}},\"type\":\"highcharts_spline_chart\",\"height\":\"400\"},\n            engine: \"highcharts\",\n            type: \"highcharts_spline_chart\",\n            title: \"Gr\u00e1fico mostrando dados por m\u00eas - Novos dados Julho\",\n            container: \"wpDataChart_411\",\n            follow_filtering: 0,\n            wpdatatable_id: 667,\n            group_chart: 0        }\n    <\/script>\n\n    <div id=\"wpDataChart_411\" class=\"highcharts_spline_chart\" style=\"width: 100%\"><\/div>\n<\/strong><\/div>\n<div style=\"text-align: center;\">Fonte: DataLiner<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<p>No gr\u00e1fico, \u00e9 poss\u00edvel ver que at\u00e9 fevereiro de 2020, as importa\u00e7\u00f5es seguiam um bom ritmo, superior \u00e0 2019. Com a quarentena proveniente da pandemia causada pela Covid-19, em abril, elas despencam, atingindo o menor n\u00edvel em junho e come\u00e7ando a se recuperar em julho, com crescimento de 23,3% em rela\u00e7\u00e3o a junho. Mesmo assim, o volume \u00e9 29,5% inferior ao de julho de 2019.<\/p>\n<p><strong>An\u00e1lise econ\u00f4mica<\/strong><\/p>\n<p>Com a retomada da atividade econ\u00f4mica, as proje\u00e7\u00f5es de PIB para 2020 para o Brasil continuaram melhorando nesse meio tempo. Atualmente a previs\u00e3o \u00e9 de recess\u00e3o de 5,28%. Em julho, a previs\u00e3o era de uma recess\u00e3o de 6,5%. Ver o gr\u00e1fico mais abaixo.<\/p>\n<p>O gr\u00e1fico abaixo traz o acumulado das importa\u00e7\u00f5es brasileiras nos sete primeiros meses de 2020 em compara\u00e7\u00e3o com igual per\u00edodo de 2019 e 2018:<\/p>\n<p>&nbsp;<\/p>\n<div>\n<div style=\"text-align: center;\"><strong>Importa\u00e7\u00f5es da Costa Leste da Am\u00e9rica do Sul | Acumulado <b>Jan a Julho 2018-2020 (TEU)<\/b><\/strong><\/div>\n<div>\n<div>\n<div style=\"text-align: center;\"><strong>\n    <script type=\"text\/javascript\">\n        if (typeof (wpDataCharts) == 'undefined') wpDataCharts = {};\n        wpDataCharts[413] = {\n            render_data: {\"wdtNumberFormat\":\"1\",\"options\":{\"title\":{\"text\":\"\",\"floating\":false,\"align\":\"center\"},\"series\":[{\"type\":\"\",\"name\":\"Jan-Jul\",\"color\":\"\",\"label\":\"Jan-Jul\",\"orig_header\":\"volume\",\"data\":[1914150,1799232,1610992],\"yAxis\":0}],\"xAxis\":{\"categories\":[\"2018\",\"2019\",\"2020\"],\"crosshair\":false},\"yAxis\":[{\"gridLineDashStyle\":\"shortdashdotdot\",\"title\":{\"text\":\"Volume (TEU)\"},\"crosshair\":false}],\"chart\":{\"backgroundColor\":\"\",\"borderWidth\":0,\"borderColor\":\"\",\"borderRadius\":0,\"zoomType\":\"none\",\"panning\":false,\"panKey\":\"shift\",\"plotBackgroundColor\":\"\",\"plotBackgroundImage\":\"\",\"plotBorderColor\":\"\",\"plotBorderWidth\":\"\",\"inverted\":false},\"subtitle\":{\"text\":\"\",\"align\":\"center\"},\"tooltip\":{\"enabled\":true,\"backgroundColor\":\"rgba(255,255,255,0.85)\",\"borderWidth\":\"1\",\"borderColor\":\"\",\"borderRadius\":3,\"shared\":false,\"valuePrefix\":\"\",\"valueSuffix\":\" TEU\"},\"legend\":{\"enabled\":true,\"backgroundColor\":\"\",\"title\":{\"text\":\"\"},\"layout\":\"horizontal\",\"align\":\"center\",\"verticalAlign\":\"bottom\",\"borderWidth\":\"0\",\"borderColor\":\"\",\"borderRadius\":\"0\"},\"exporting\":{\"enabled\":false,\"chartOptions\":{\"plotOptions\":{\"series\":{\"dataLabels\":{\"enabled\":false}}}},\"filename\":\"\",\"width\":\"\",\"buttons\":{\"contextButton\":{\"align\":\"right\",\"verticalAlign\":\"top\",\"symbolStroke\":\"#666\",\"text\":\"\"}}},\"credits\":{\"enabled\":false,\"href\":\"http:\\\/\\\/www.highcharts.com\",\"text\":\"Highcharts.com\"}},\"type\":\"highcharts_basic_column_chart\",\"height\":\"400\"},\n            engine: \"highcharts\",\n            type: \"highcharts_basic_column_chart\",\n            title: \"Gr\u00e1fico mostrando YTD - Novos dados Julho\",\n            container: \"wpDataChart_413\",\n            follow_filtering: 0,\n            wpdatatable_id: 669,\n            group_chart: 0        }\n    <\/script>\n\n    <div id=\"wpDataChart_413\" class=\"highcharts_basic_column_chart\" style=\"width: 100%\"><\/div>\n<\/strong><\/div>\n<div style=\"text-align: center;\">Fonte: DataLiner<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div><\/div>\n<div>No acumulado de janeiro a julho de 2020 no gr\u00e1fico acima, as importa\u00e7\u00f5es ca\u00edram 10,46% em rela\u00e7\u00e3o a 2019 e 15,83% em rela\u00e7\u00e3o a 2018 em TEU.<\/div>\n<div><\/div>\n<div style=\"text-align: center;\"><strong>Previs\u00e3o de crescimento do PIB brasileiro em 2020<\/strong><\/div>\n<p style=\"text-align: center;\"><div id=\"envira-gallery-wrap-12296\" class=\"envira-gallery-wrap envira-gallery-theme-base envira-lightbox-theme-base\" itemscope itemtype=\"https:\/\/schema.org\/ImageGallery\"><div data-row-height=\"\" data-gallery-theme=\"\" id=\"envira-gallery-12296\" class=\"envira-gallery-public  envira-gallery-1-columns envira-clear enviratope envira-gallery-css-animations\" data-envira-columns=\"1\"><div id=\"envira-gallery-item-12297\" class=\"envira-gallery-item enviratope-item envira-gallery-item-1 envira-lazy-load\" style=\"padding-left: 5px; padding-bottom: 10px; padding-right: 5px;\"  itemscope itemtype=\"https:\/\/schema.org\/ImageObject\"><div class=\"envira-gallery-item-inner\"><div class=\"envira-gallery-position-overlay  envira-gallery-top-left\"><\/div><div class=\"envira-gallery-position-overlay  envira-gallery-top-right\"><\/div><div class=\"envira-gallery-position-overlay  envira-gallery-bottom-left\"><\/div><div class=\"envira-gallery-position-overlay  envira-gallery-bottom-right\"><\/div><a href=\"https:\/\/2mh.ade.myftpupload.com\/wp-content\/uploads\/2020\/08\/Brazil-GDP-2020.png\" class=\"envira-gallery-12296 envira-gallery-link\" rel=\"enviragallery12296\" title=\"Brazil GDP 2020\" data-envira-caption=\"Brazil GDP 2020\" data-envira-retina=\"\" data-thumbnail=\"\"  itemprop=\"contentUrl\"><div class=\"envira-lazy\" data-test-width=\"640\" data-test-height=\"480\" style=\"padding-bottom:75%;\"><img decoding=\"async\" id=\"envira-gallery-image-12297\" class=\"envira-gallery-image envira-gallery-image-1\" data-envira-index=\"1\" src=\"https:\/\/datamarnews.com\/wp-content\/uploads\/2020\/08\/Brazil-GDP-2020-640x480.png\" data-envira-src=\"https:\/\/datamarnews.com\/wp-content\/uploads\/2020\/08\/Brazil-GDP-2020-640x480.png\" data-envira-gallery-id=\"12296\" data-envira-item-id=\"12297\" data-envira-caption=\"Brazil GDP 2020\" alt=\"\" title=\"Brazil GDP 2020\"  itemprop=\"thumbnailUrl\" data-envira-srcset=\"https:\/\/datamarnews.com\/wp-content\/uploads\/2020\/08\/Brazil-GDP-2020-640x480.png 400w,https:\/\/datamarnews.com\/wp-content\/uploads\/2020\/08\/Brazil-GDP-2020-640x480.png 2x\" srcset=\"data:image\/gif;base64,R0lGODlhAQABAIAAAP\/\/\/\/\/\/\/yH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" \/><\/div><\/a><\/div><\/div><\/div><\/div><noscript><img decoding=\"async\" src=\"https:\/\/datamarnews.com\/wp-content\/uploads\/2020\/08\/Brazil-GDP-2020.png\" alt=\"\" \/><\/noscript><\/p>\n<p style=\"text-align: center;\">Fonte: Statista<\/p>\n<p><strong>An\u00e1lise de Commodities<\/strong><\/p>\n<p>Muitas das commodities que foram afetadas nas importa\u00e7\u00f5es viram os seus n\u00fameros se recuperarem ap\u00f3s o que parece ter sido o fundo do po\u00e7o em junho. Os n\u00fameros de agosto tamb\u00e9m devem aumentar, j\u00e1 que foi registrado, no per\u00edodo,\u00a0 uma queda no n\u00famero de &#8216;blank sailings&#8217; durante aquele m\u00eas, de acordo com os bancos de dados da Datamar.<\/p>\n<p>&nbsp;<\/p>\n<div>\n<div style=\"text-align: center;\"><strong>Ranking das mercadorias mais importadas em julho de 2020\u00a0<\/strong><\/div>\n<div>\n<div style=\"text-align: center;\"><\/div>\n<div style=\"text-align: center;\">\n<div>\n<div class=\"wpdt-c wdt-skin-light\">\n    \n    <input type=\"hidden\" id=\"wdtNonceFrontendServerSide_671\" name=\"wdtNonceFrontendServerSide_671\" value=\"acb1327ff7\" \/><input type=\"hidden\" name=\"_wp_http_referer\" value=\"\/wp-json\/wp\/v2\/noticias\/12279\" \/>    <input type=\"hidden\" id=\"table_3_desc\"\n           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A\",\"datepickFormat\":\"dd\\\/mm\\\/yy\"}'\/>\n\n    <table id=\"table_3\"\n           class=\"  responsive display nowrap data-t data-t wpDataTable wpDataTableID-671\"\n           style=\"\"\n           data-described-by='table_3_desc'\n           data-wpdatatable_id=\"671\">\n        \n        <!-- Table header -->\n        \n<thead>\n<tr>\n                    <th\n                        class=\" wdtheader sort numdata integer \"\n        style=\"\">        wdt_ID<\/th>        <th\n        data-class=\"expand\"                class=\" wdtheader sort \"\n        style=\"\">        Commodity<\/th>        <th\n                        class=\" wdtheader sort numdata integer \"\n        style=\"\">        Jan<\/th>        <th\n                        class=\" wdtheader sort numdata integer \"\n        style=\"\">        Feb<\/th>        <th\n                        class=\" wdtheader sort numdata integer \"\n        style=\"\">        Mar<\/th>        <th\n                        class=\" wdtheader sort numdata integer \"\n        style=\"\">        Apr<\/th>        <th\n                        class=\" wdtheader sort numdata integer \"\n        style=\"\">        May<\/th>        <th\n                        class=\" wdtheader sort numdata integer \"\n        style=\"\">        Jun<\/th>        <th\n                        class=\" wdtheader sort numdata integer \"\n        style=\"\">        Jul<\/th>        <th\n                        class=\" wdtheader sort numdata integer \"\n        style=\"\">        May-Jun Change<\/th>        <th\n                        class=\" wdtheader sort numdata integer \"\n        style=\"\">        Jun-Jul Change<\/th>    <\/tr>\n<\/thead>\n        <!-- \/Table header -->\n\n        <!-- Table body -->\n        \n<tbody>\n            <tr id=\"table_671_row_0\" data-row-index=\"0\">\n                            <td style=\"\">1<\/td>\n                            <td style=\"\">39 - Plastics and Articles Thereof<\/td>\n                            <td style=\"\">33.498<\/td>\n                            <td style=\"\">30.426<\/td>\n                            <td style=\"\">31.184<\/td>\n                            <td style=\"\">33.573<\/td>\n                            <td style=\"\">26.626<\/td>\n                            <td style=\"\">20.570<\/td>\n                            <td style=\"\">23.317<\/td>\n                            <td style=\"\">-6.055<\/td>\n                            <td style=\"\">2.747<\/td>\n                    <\/tr>\n                <tr id=\"table_671_row_1\" data-row-index=\"1\">\n                            <td style=\"\">2<\/td>\n                            <td style=\"\">84 - Nuclear Reactors and Mechanical Appliances<\/td>\n                            <td style=\"\">31.800<\/td>\n                            <td style=\"\">26.172<\/td>\n                            <td style=\"\">22.624<\/td>\n                            <td style=\"\">26.952<\/td>\n                            <td style=\"\">23.180<\/td>\n                            <td style=\"\">17.771<\/td>\n                            <td style=\"\">22.048<\/td>\n                            <td style=\"\">-5.408<\/td>\n                            <td style=\"\">4.276<\/td>\n                    <\/tr>\n                <tr id=\"table_671_row_2\" data-row-index=\"2\">\n                            <td style=\"\">3<\/td>\n                            <td style=\"\">85 - Electrical Machinery and Equipment and Parts Thereof<\/td>\n                            <td style=\"\">24.008<\/td>\n                            <td style=\"\">22.829<\/td>\n                            <td style=\"\">17.782<\/td>\n                            <td style=\"\">20.253<\/td>\n                            <td style=\"\">16.532<\/td>\n                            <td style=\"\">10.963<\/td>\n                            <td style=\"\">15.476<\/td>\n                            <td style=\"\">-5.569<\/td>\n                            <td style=\"\">4.513<\/td>\n                    <\/tr>\n                <tr id=\"table_671_row_3\" data-row-index=\"3\">\n                            <td style=\"\">4<\/td>\n                            <td style=\"\">29 - Organic Chemicals<\/td>\n                            <td style=\"\">12.761<\/td>\n                            <td style=\"\">11.602<\/td>\n                            <td style=\"\">11.119<\/td>\n                            <td style=\"\">14.307<\/td>\n                            <td style=\"\">13.158<\/td>\n                            <td style=\"\">11.666<\/td>\n                            <td style=\"\">13.021<\/td>\n                            <td style=\"\">-1.492<\/td>\n                            <td style=\"\">1.355<\/td>\n                    <\/tr>\n                <tr id=\"table_671_row_4\" data-row-index=\"4\">\n                            <td style=\"\">5<\/td>\n                            <td style=\"\">87 - Vehicles Other Than Railway or Tramway Rolling-Stock<\/td>\n                            <td style=\"\">29.297<\/td>\n                            <td style=\"\">23.870<\/td>\n                            <td style=\"\">27.321<\/td>\n                            <td style=\"\">27.581<\/td>\n                            <td style=\"\">14.634<\/td>\n                            <td style=\"\">9.763<\/td>\n                            <td style=\"\">11.493<\/td>\n                            <td style=\"\">-4.870<\/td>\n                            <td style=\"\">1.730<\/td>\n                    <\/tr>\n                <tr id=\"table_671_row_5\" data-row-index=\"5\">\n                            <td style=\"\">6<\/td>\n                            <td style=\"\">38 - Miscellaneous Chemical Products<\/td>\n                            <td style=\"\">6.762<\/td>\n                            <td style=\"\">5.983<\/td>\n                            <td style=\"\">5.702<\/td>\n                            <td style=\"\">5.988<\/td>\n                            <td style=\"\">6.989<\/td>\n                            <td style=\"\">7.187<\/td>\n                            <td style=\"\">8.400<\/td>\n                            <td style=\"\">198<\/td>\n                            <td style=\"\">1.213<\/td>\n                    <\/tr>\n                <tr id=\"table_671_row_6\" data-row-index=\"6\">\n                            <td style=\"\">7<\/td>\n                            <td style=\"\">40 - Rubber and Articles Thereof<\/td>\n                            <td style=\"\">10.865<\/td>\n                            <td style=\"\">10.098<\/td>\n                            <td style=\"\">9.594<\/td>\n                            <td style=\"\">9.714<\/td>\n                            <td style=\"\">7.626<\/td>\n                            <td style=\"\">4.250<\/td>\n                            <td style=\"\">6.690<\/td>\n                            <td style=\"\">-3.375<\/td>\n                            <td style=\"\">2.439<\/td>\n                    <\/tr>\n                <tr id=\"table_671_row_7\" data-row-index=\"7\">\n                            <td style=\"\">8<\/td>\n                            <td style=\"\">31 - Fertilisers<\/td>\n                            <td style=\"\">5.034<\/td>\n                            <td style=\"\">4.931<\/td>\n                            <td style=\"\">4.235<\/td>\n                            <td style=\"\">6.772<\/td>\n                            <td style=\"\">6.666<\/td>\n                            <td style=\"\">6.813<\/td>\n                            <td style=\"\">6.045<\/td>\n                            <td style=\"\">147<\/td>\n                            <td style=\"\">-769<\/td>\n                    <\/tr>\n                <tr id=\"table_671_row_8\" data-row-index=\"8\">\n                            <td style=\"\">9<\/td>\n                            <td style=\"\">28 - Inorganic Chemicals<\/td>\n                            <td style=\"\">5.795<\/td>\n                            <td style=\"\">5.537<\/td>\n                            <td style=\"\">5.086<\/td>\n                            <td style=\"\">6.296<\/td>\n                            <td style=\"\">5.598<\/td>\n                            <td style=\"\">5.342<\/td>\n                            <td style=\"\">5.116<\/td>\n                            <td style=\"\">-256<\/td>\n                            <td style=\"\">-226<\/td>\n                    <\/tr>\n                <tr id=\"table_671_row_9\" data-row-index=\"9\">\n                            <td style=\"\">10<\/td>\n                            <td style=\"\">48 - Paper and Paperboard<\/td>\n                            <td style=\"\">7.075<\/td>\n                            <td style=\"\">6.704<\/td>\n                            <td style=\"\">6.249<\/td>\n                            <td style=\"\">7.014<\/td>\n                            <td style=\"\">5.980<\/td>\n                            <td style=\"\">4.443<\/td>\n                            <td style=\"\">4.503<\/td>\n                            <td style=\"\">-1.537<\/td>\n                            <td style=\"\">60<\/td>\n                    <\/tr>\n    <\/tbody>        <!-- \/Table body -->\n\n        <!-- Table footer -->\n        \n        <!-- \/Table footer -->\n    <\/table>\n\n<\/div><style>\ntable.wpDataTable td.numdata { text-align: right !important; }\n<\/style>\n<style>\n<\/style>\n<\/div>\n<div>Fonte: DataLiner<\/div>\n<\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/www.datamar.com.br\/data-solutions\/\" target=\"_blank\" rel=\"noopener noreferrer\">(Para solicitar um demo do Dataliner clique aqui)<\/a><\/div>\n<\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<div id=\"datam-2873748196\" class=\"datam-after-content datam-entity-placement\"><script async src=\"\/\/pagead2.googlesyndication.com\/pagead\/js\/adsbygoogle.js?client=ca-pub-8924177070819571\" 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