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    <title><![CDATA[elDiario.es - Universidad de Zaragoza]]></title>
    <link><![CDATA[https://www.eldiario.es/temas/universidad-de-zaragoza/]]></link>
    <description><![CDATA[elDiario.es - Universidad de Zaragoza]]></description>
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    <ttl>10</ttl>
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      <title><![CDATA[El científico Yamir Moreno, de Unizar, premiado en Boston por su contribución en el ámbito de las redes complejas]]></title>
      <link><![CDATA[https://www.eldiario.es/aragon/sociedad/cientifico-yamir-moreno-unizar-premiado-boston-contribuciones-ambito-redes-complejas_1_13284294.html]]></link>
      <description><![CDATA[<p><img src="https://static.eldiario.es/clip/c2112ba3-3b82-479b-b0e6-40b25266958d_16-9-discover-aspect-ratio_default_0_x849y649.jpg" width="1200" height="675" alt="El científico Yamir Moreno, de Unizar, premiado en Boston por su contribución en el ámbito de las redes complejas"></p><div class="subtitles"><p class="subtitle">El director del Instituto de Biocomputación y Física de Sistemas Complejos (BIFI) de la Universidad de Zaragoza y responsable del Grupo de Redes y Sistemas Complejos (COSNET) recibe el 'Outstanding Service Award' de la Sociedad de Ciencias en Red </p></div><p class="article-text">
        Yamir Moreno, director del Instituto de Biocomputaci&oacute;n y F&iacute;sica de Sistemas Complejos (BIFI) de la Universidad de Zaragoza y Responsable del Grupo de Redes y Sistemas Complejos (COSNET), acaba de ser galardonado con el&nbsp;Premio 'Outstanding Service Award' de la Network Science Society (NSS),&nbsp;en el marco de un congreso celebrado en Boston, Massachusets, por su liderazgo y contribuci&oacute;n al crecimiento y consolidaci&oacute;n de la sociedad, as&iacute; como por la gobernanza, la organizaci&oacute;n de m&uacute;ltiples conferencias y eventos y el trabajo editorial en el campo de las redes complejas.
    </p><p class="article-text">
        El profesor Moreno se consolida de esta forma como&nbsp;una de las figuras m&aacute;s influyentes en el panorama internacional de la ciencia de redes&nbsp;a trav&eacute;s de una trayectoria marcada por un profundo impacto institucional y acad&eacute;mico. Sus aportes han contribuido a transformar una teor&iacute;a emergente, surgida hace m&aacute;s de dos d&eacute;cadas, en un marco cient&iacute;fico s&oacute;lido y riguroso dedicado al estudio de los sistemas interconectados a escala global. En este sentido,&nbsp;su labor al frente del Instituto BIFI ha posicionado tambi&eacute;n a la Universidad de Zaragoza como un referente estrat&eacute;gico en la investigaci&oacute;n interdisciplinar en el campo de las redes complejas, fomentando un ecosistema de excelencia que combina la F&iacute;sica junto con otras disciplinas para abordar importantes desaf&iacute;os.&nbsp;Sus investigaciones abarcan desde los fundamentos te&oacute;ricos hasta aplicaciones pr&aacute;cticas, y cuenta con m&aacute;s de 300 publicaciones cient&iacute;ficas en revistas de alto impacto y m&aacute;s de 59.000 citas (Google Scholar, h-index=93).
    </p><p class="article-text">
        Entre sus principales l&iacute;neas de investigaci&oacute;n en el campo de las redes complejas destacan la&nbsp;epidemiolog&iacute;a computacional, los procesos de difusi&oacute;n de informaci&oacute;n, las din&aacute;micas de cooperaci&oacute;n en redes sociales, la teor&iacute;a de juegos evolutivos, el estudio de las redes multicapa y de las redes de orden superior, as&iacute; como la biolog&iacute;a matem&aacute;tica en el contexto de enfermedades interactivas y el estudio de los fen&oacute;menos de sincronizaci&oacute;n y procesos no lineales.
    </p><p class="article-text">
        Por otra parte, el profesor Moreno ha desempe&ntilde;ado un papel determinante en la gobernanza de las organizaciones cient&iacute;ficas m&aacute;s prestigiosas del campo, habiendo ejercido la vicepresidencia y presidencia, tanto de la Network Science Society (NSS) como de la Complex Systems Society (CSS). Durante su mandato en la Network Science Society,&nbsp;impuls&oacute; la cohesi&oacute;n de la comunidad cient&iacute;fica internacional y fortaleci&oacute; las estructuras de colaboraci&oacute;n que definen el campo, fomentando la inclusi&oacute;n social y de g&eacute;nero, la interdisciplinariedad, y el papel activo de las nuevas generaciones. Adem&aacute;s, ha sido galardonado como Fellow de la American Physical Society (APS), de la propia NSS, y se le ha otorgado el premio Senior Scientific Award de la CSS. En el &aacute;mbito editorial, ejerce en la actualidad como&nbsp;editor en jefe del 'Journal of Complex Networks'&nbsp;y forma parte de los consejos editoriales de reconocidas revistas cient&iacute;ficas.
    </p><p class="article-text">
        &ldquo;Siempre he cre&iacute;do que&nbsp;apoyar y fortalecer una comunidad cient&iacute;fica&nbsp;es tan importante como hacer avanzar la ciencia misma&rdquo;, ha destacado el&nbsp;profesor&nbsp;Yamir Moreno&nbsp;al recibir este galard&oacute;n dentro de las actividades de la Conferencia&nbsp;NetSci 2026,&nbsp;desarrollado del 1 al 5 de junio en Boston, Massachusets. &ldquo;La&nbsp;ciencia de redes ha crecido enormemente en las dos &uacute;ltimas d&eacute;cadas&nbsp;hasta convertirse en un campo interdisciplinar, capaz de reunir a investigadores provenientes de la f&iacute;sica, las matem&aacute;ticas, la inform&aacute;tica, la biolog&iacute;a, las ciencias sociales y muchas otras &aacute;reas.&nbsp;Quiero compartir este reconocimiento con todos&nbsp;aquellos&nbsp;con los que he tenido la suerte de trabajar durante todos estos a&ntilde;o&rdquo;, ha a&ntilde;adido.
    </p>]]></description>
      <dc:creator><![CDATA[ElDiarioAragón]]></dc:creator>
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      <pubDate><![CDATA[Mon, 08 Jun 2026 11:22:06 +0000]]></pubDate>
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      <media:keywords><![CDATA[Universidad de Zaragoza,Investigación,Investigación científica]]></media:keywords>
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    <item>
      <title><![CDATA[La investigadora Esther Pueyo logra una nueva red doctoral europea Marie Curie para impulsar la cardiología digital]]></title>
      <link><![CDATA[https://www.eldiario.es/aragon/sociedad/investigadora-esther-pueyo-logra-nueva-red-doctoral-europea-marie-curie-impulsar-cardiologia-digital_1_13275129.html]]></link>
      <description><![CDATA[<p><img src="https://static.eldiario.es/clip/af1c34d9-3ecb-4dfd-8cd4-2f3360719ec9_16-9-discover-aspect-ratio_default_1144525.jpg" width="2326" height="1308" alt="La investigadora Esther Pueyo logra una nueva red doctoral europea Marie Curie para impulsar la cardiología digital"></p><div class="subtitles"><p class="subtitle">El Instituto de Investigación en Ingeniería de Aragón (I3A) refuerza su liderazgo europeo con esta nueva ayuda de la Comisión Europea</p><p class="subtitle">De Zaragoza a las pirámides mayas: enzimas y nanotecnología al servicio del patrimonio</p></div><p class="article-text">
        La investigadora&nbsp;Esther Pueyo,&nbsp;del grupo BSICoS&nbsp;(Biomedical Signal Interpretation and Computational Simulation) del Instituto de Investigaci&oacute;n en Ingenier&iacute;a de Arag&oacute;n (I3A), participa en una nueva red doctoral europea Marie Sk&#322;odowska-Curie Doctoral Network (MSCA DN), una de las convocatorias m&aacute;s competitivas de la Uni&oacute;n Europea para la formaci&oacute;n de personal investigador predoctoral.
    </p><p class="article-text">
        El proyecto (The Cardiovascular Digital Twin Network, CDT-net)&nbsp;desarrollar&aacute; tecnolog&iacute;as de gemelo digital aplicadas a la medicina cardiovascular con el objetivo de avanzar hacia una cardiolog&iacute;a m&aacute;s preventiva y personalizada. Las enfermedades cardiovasculares constituyen, hoy, una de las principales causas de mortalidad y gasto sanitario en Europa, con alrededor de 1,9 millones de muertes anuales y un coste asociado de 169.000 millones de euros.
    </p><p class="article-text">
        La iniciativa integra&nbsp;modelos computacionales e inteligencia artificial&nbsp;para crear&nbsp;representaciones virtuales de pacientes&nbsp;que permitan mejorar la identificaci&oacute;n temprana de riesgos, aumentar la precisi&oacute;n diagn&oacute;stica y optimizar la toma de decisiones terap&eacute;uticas.
    </p><p class="article-text">
        La Red de Gemelos Digitales Cardiovasculares abordar&aacute; los retos cient&iacute;ficos, tecnol&oacute;gicos, &eacute;ticos y regulatorios asociados a la adopci&oacute;n de estas tecnolog&iacute;as, mediante la formaci&oacute;n de investigadores predoctorales altamente especializados. La red promueve la colaboraci&oacute;n entre&nbsp;medicina, ingenier&iacute;a, inform&aacute;tica y ciencias sociales, as&iacute; como entre el &aacute;mbito acad&eacute;mico, cl&iacute;nico, industrial y regulador, con el objetivo de acelerar la implementaci&oacute;n de la medicina personalizada cardiovascular.
    </p><p class="article-text">
        Desde el grupo BSICoS se contempla la contrataci&oacute;n de&nbsp;dos investigadores predoctorales&nbsp;y la tutorizaci&oacute;n de un tercero y cuenta con una financiaci&oacute;n de 564.376,32 euros. El consorcio est&aacute; coordinado por King&rsquo;s College London y re&uacute;ne a 10 socios internacionales y 9 entidades asociadas.
    </p><h2 class="article-text">Una investigadora con cinco redes doctorales</h2><p class="article-text">
        La Comisi&oacute;n Europea (CE) ha seleccionado el proyecto en el que participa Esther Pueyo, junto a la investigadora de su mismo grupo Ana Minchol&eacute;, dentro de la Universidad de Zaragoza, que se desarrollar&aacute; en consorcios internacionales dentro de las Acciones Marie Sklodowska Curie (MSCA) - Redes Doctorales DN 2025, del Programa Horizonte Europa.
    </p><p class="article-text">
        Con este nuevo proyecto, Esther Pueyo suma ya cinco redes doctorales Marie Sk&#322;odowska-Curie con el grupo de investigaci&oacute;n BSICoS. Un resultado extraordinariamente destacado y poco habitual a nivel institucional, que pone de manifiesto la elevada excelencia, competitividad e impacto internacional de este grupo del I3A Unizar en el &aacute;mbito de la investigaci&oacute;n cardiovascular y la formaci&oacute;n doctoral europea.&nbsp;
    </p><p class="article-text">
        En particular, cabe resaltar que, con las tres Doctoral Networks obtenidas en las &uacute;ltimas cuatro convocatorias,&nbsp;el grupo ha captado un total de 1.098.535,68 &euro;,&nbsp;a lo que se suma su participaci&oacute;n en otras dos redes MSCA de tipo ITN en el marco de Horizonte 2020 consolidando a&uacute;n m&aacute;s su trayectoria y posicionamiento en programas europeos altamente competitivos.
    </p><p class="article-text">
        La convocatoria MSCA Doctoral Networks 2025 ha financiado 141 proyectos de entre 1.602 propuestas presentadas, con una tasa de &eacute;xito cercana al 9%, lo que evidencia el alto nivel de exigencia de este programa europeo de excelencia investigadora.
    </p>]]></description>
      <dc:creator><![CDATA[ElDiarioAragón]]></dc:creator>
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      <pubDate><![CDATA[Thu, 04 Jun 2026 11:05:04 +0000]]></pubDate>
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      <media:title><![CDATA[La investigadora Esther Pueyo logra una nueva red doctoral europea Marie Curie para impulsar la cardiología digital]]></media:title>
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      <media:keywords><![CDATA[Investigación científica,Universidad de Zaragoza]]></media:keywords>
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    <item>
      <title><![CDATA[Más de 7.100 alumnos afrontan la PAU en Aragón con detectores contra el fraude y nuevas reglas de evaluación]]></title>
      <link><![CDATA[https://www.eldiario.es/aragon/sociedad/7-100-alumnos-afrontan-pau-aragon-detectores-fraude-nuevas-reglas-evaluacion_1_13268850.html]]></link>
      <description><![CDATA[<p><img src="https://static.eldiario.es/clip/6c9737f3-9624-4c85-a394-713531b8beb9_16-9-discover-aspect-ratio_default_0.jpg" width="1200" height="675" alt="Más de 7.100 alumnos afrontan la PAU en Aragón con detectores contra el fraude y nuevas reglas de evaluación"></p><div class="subtitles"><p class="subtitle">La Prueba de Acceso a la Universidad se desarrollará hasta el jueves 4 de junio. Por provincias, en Huesca se presentan 1.122 estudiantes, en Teruel 530 y en Zaragoza 5.492</p></div><p class="article-text">
        Un total de 7.144 estudiantes comienzan este martes, 2 de junio, la Prueba de Acceso a la Universidad (PAU) en Arag&oacute;n, que se desarrollar&aacute; hasta el 4 de junio en los 12 tribunales ordinarios distribuidos por las tres provincias de la comunidad aut&oacute;noma.
    </p><p class="article-text">
        Las principales novedades de la PAU 2026 en Arag&oacute;n pasan por la posibilidad identificaci&oacute;n mediante el DNI electr&oacute;nico, a trav&eacute;s de la app MiDNI en dispositivos m&oacute;viles, de la incorporaci&oacute;n de detectores de frecuencia para evitar el fraude acad&eacute;mico, la rebaja en la penalizaci&oacute;n por faltas de ortograf&iacute;a para alinearse con otras universidades y la vuelta de Fraga a la lista de ubicaciones para realizar la prueba.
    </p><p class="article-text">
        As&iacute; lo han indicado este martes la directora general de Universidades del Gobierno de Arag&oacute;n, Marisa Feij&oacute;o, y el vicerrector de Estudiantes y Empleo de la Universidad de Zaragoza, Miguel &Aacute;ngel Barber&aacute;n, en una rueda de prensa en la que han detallado el operativo acad&eacute;mico que se ha organizado para el desarrollo de la PAU.
    </p><p class="article-text">
        Del total de 7.144 estudiantes inscritos, 5.492 se presentan a la prueba en Zaragoza, 1.122 lo hacen en Huesca y 530 en Teruel. Adem&aacute;s de las capitales de provincia, los ejercicios se realizan de forma simult&aacute;nea en La Almunia de Do&ntilde;a Godina, Calatayud, Ejea de los Caballeros, Tarazona, Jaca, Barbastro, Monz&oacute;n, Fraga, Alca&ntilde;iz y Calamocha.
    </p><p class="article-text">
        El vicerrector de Estudiantes y Empleo de la Universidad de Zaragoza ha indicado que, en esta ocasi&oacute;n, se presentan a la PAU unos 400 estudiantes m&aacute;s que el a&ntilde;o pasado. Este dato, ha reconocido Barber&aacute;n, &ldquo;nos ha sorprendido un poco porque no lo esper&aacute;bamos, de acuerdo con la evoluci&oacute;n de la natalidad en nuestra comunidad&rdquo;, pero &ldquo;lo valoramos de forma satisfactoria&rdquo; porque &ldquo;entendemos que los estudios universitarios est&aacute;n en el objetivo de los itinerarios formativos de nuestros estudiantes&rdquo;.
    </p><p class="article-text">
        Ha confiado Miguel &Aacute;ngel Barber&aacute;n en que en buen n&uacute;mero de ellos &ldquo;tenga los ojos puestos&rdquo; en la Universidad de Zaragoza para su formaci&oacute;n.
    </p><h2 class="article-text">Log&iacute;stica de la prueba </h2><p class="article-text">
        La PAU est&aacute; estructurada en 15 tribunales --12 en convocatoria ordinaria y tres en extraordinaria-- desplegados por las tres provincias. En este sentido, Barber&aacute;n se ha referido al trabajo previo que exigen estos ex&aacute;menes: &ldquo;Nuestros especialistas en cada materia trabajan coordinadamente con los adjuntos de los centros de Secundaria para planificar y atender indicaciones sobre la homogenizaci&oacute;n de las pruebas y los contenidos tratados en clase, tambi&eacute;n a los requerimientos de la CRUE --Conferencia de Rectores de las Universidades Espa&ntilde;olas-- para ajustar los contenidos&rdquo;.
    </p><figure class="ni-figure">
        
                                            






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                El alumnado durante los primeros exámenes de la PAU en Zaragoza                            </span>
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                </figure><p class="article-text">
        Los tribunales cuentan con 176 profesionales como personal de apoyo de vigilantes, encargados de las labores de inspecci&oacute;n, ha se&ntilde;alado el vicerrector de Estudiantes y Empleo de Unizar.
    </p><p class="article-text">
        Del mismo modo, una vez concluyan los ex&aacute;menes el pr&oacute;ximo jueves comenzar&aacute; el trabajo correcci&oacute;n para los vocales correctores, que son, aproximadamente, 345 son las personas las que verificar&aacute;n &ldquo;que los ex&aacute;menes de nuestros estudiantes que est&aacute;n debidamente homogeneizados, de acuerdo con las plantillas que despliegan los especialistas de materia para que la subjetividad que pueda haber en la correcci&oacute;n sea lo m&aacute;s reducida posible&rdquo;, ha aclarado Barber&aacute;n.
    </p><p class="article-text">
        Por otro lado, los ex&aacute;menes se realizan en estancias climatizadas siempre que sea posible. En aquellos espacios no climatizados, se han buscado aulas amplias que reduzcan la sensaci&oacute;n de sofoco y se evitar&aacute; que acojan alguna parte de la prueba en las horas m&aacute;s calurosas del d&iacute;a.
    </p><h2 class="article-text">Detectores de frecuencia</h2><p class="article-text">
        Sobre los detectores de frecuencia, una de las novedades de la PAU 2026, el vicerrector de Estudiantes y Empleo de la Universidad de Zaragoza ha enmarcado este dispositivo dentro de &ldquo;las actividades normales de vigilancia de una prueba de esta envergadura&rdquo;, recalcando que se suman a la inspecci&oacute;n visual de los vigilantes.
    </p><p class="article-text">
        No obstante, Barber&aacute;n ha incidido en que el prop&oacute;sito es que la prueba se desarrolle &ldquo;con normalidad&rdquo;. &ldquo;Tenemos dispositivos bastante avanzados y no solamente de un modelo, lo que nos permitir&iacute;a detectar cualquier tipo de comunicaci&oacute;n entre un aula, un espacio y el exterior&rdquo;, ha apuntado.
    </p><p class="article-text">
        Asimismo, ha subrayado que la incorporaci&oacute;n de detectores es &ldquo;una actitud preventiva ante posibles escenarios de fraude acad&eacute;mico que puedan surgir, pero no la respuesta a una sensaci&oacute;n de que se vaya a cometer el fraude&rdquo;.
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                    alt="Un grupo de alumnas repasa antes de los exámenes de la PAU en Zaragoza"
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                Un grupo de alumnas repasa antes de los exámenes de la PAU en Zaragoza                            </span>
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                </figure><p class="article-text">
        De hecho, Miguel &Aacute;ngel Barber&aacute;n ha afirmado que los estudiantes llevan dos a&ntilde;os &ldquo;trabajando muy duro para conseguir una nota y estos d&iacute;as se juegan mucho. No ponemos en duda en ning&uacute;n momento que las pruebas se han preparado con honestidad y con responsabilidad por su parte&rdquo;.
    </p><p class="article-text">
        Los detectores, ha contado el vicerrector de Estudiantes y Empleo, &ldquo;se van a utilizar en un momento o en otro en los 12 tribunales de esta convocatoria ordinaria y en las tres de la extraordinaria&rdquo;, y el protocolo transmitido a los tribunales es de &ldquo;suma prudencia, porque es una tecnolog&iacute;a que hemos testado en algunos centros y es muy v&aacute;lida, pero yo antepongo siempre la tranquilidad, no interferir excesivamente en un espacio para celebraci&oacute;n de la prueba&rdquo;.
    </p><p class="article-text">
        En caso de que haya sospechas, Barber&aacute;n ha recomendado &ldquo;actuar con mucho cuidado y diligencia, porque al ser algo nuevo tambi&eacute;n entendemos que los estudiantes tienen que estar centrados en hacer sus ejercicios y no estar pendientes de si por detr&aacute;s vienen con este software&rdquo;.
    </p><p class="article-text">
        Ante la evidencia de que se est&eacute; utilizando un &ldquo;pinganillo o un bol&iacute;grafo electr&oacute;nico o gafas, el aparato te lo detecta y luego visual o materialmente se comprueba que se act&uacute;a con toda contundencia, con cuidado de no interrumpir el marco del desarrollo de las pruebas&rdquo;. En caso de que se compruebe el fraude, se invalidar&aacute; la PAU completa, aunque podr&aacute; volver a presentarse el alumno en la convocatoria extraordinaria.
    </p><h2 class="article-text">Dos fases </h2><p class="article-text">
        La PAU se divide en dos fase, la obligatoria, que consta de cuatro ex&aacute;menes comunes, y uno de modalidad, con una nota m&aacute;xima de 10 puntos, y la fase voluntaria, que permite a los estudiantes realizar hasta cuatro ex&aacute;menes adicionales para elevar su calificaci&oacute;n hasta los 14 puntos.
    </p><p class="article-text">
        Los estudiantes podr&aacute;n conocer sus calificaciones el pr&oacute;ximo 10 de junio. Tras la publicaci&oacute;n, se abrir&aacute; un periodo de solicitudes de revisi&oacute;n y segunda calificaci&oacute;n entre el 11 y el 15 de junio para aquellos que no est&eacute;n de acuerdo con los resultados obtenidos.
    </p><figure class="ni-figure">
        
                                            






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                    alt="Alumnado que se presenta a la PAU en Zaragoza"
                >

            
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                            <figcaption class="image-footer">
            <span class="title">
                Alumnado que se presenta a la PAU en Zaragoza                            </span>
                                    </figcaption>
            
                </figure><p class="article-text">
        Otra de las novedades de este a&ntilde;o ha sido armonizar la PAU de Arag&oacute;n con las de otras comunidades aut&oacute;nomas, por lo que este a&ntilde;o se ha reducido la penalizaci&oacute;n en la nota que suponen algunas faltas de ortograf&iacute;a.
    </p><p class="article-text">
        &ldquo;Nos hemos alineado un poco con otras universidades y no somos tan exigentes. Ha habido una relajaci&oacute;n, no en Lengua Castellana y Literatura II, sino en Lengua Extranjera y otras materias&rdquo;, ha apostillado.
    </p><h2 class="article-text">Nervios previos al examen </h2><p class="article-text">
        Minutos antes del inicio del primer examen, en la Facultad de Educaci&oacute;n de la Universidad de Zaragoza, los estudiantes han confesado &ldquo;nervios&rdquo; despu&eacute;s de &ldquo;todo un a&ntilde;o&rdquo; esperando enfrentarse a esta prueba.
    </p><p class="article-text">
        Los resultados los conocer&aacute;n a partir del 10 de junio y podr&aacute;n consultarlos con las credenciales facilitdas por la Universidad de Zaragoza en '<a href="http://academico.unizar.es/secretaria-virtual" target="_blank" data-mrf-recirculation="links-noticia" class="link">http://academico.unizar.es/secretaria-virtual</a>' para descargar sus papeletas con las calificaciones obtenidas.
    </p><p class="article-text">
        Las solicitudes de revisi&oacute;n de calificaciones ser&aacute;n presentadas entre los d&iacute;as 11 a 15 de junio. Las papeletas tendr&aacute;n car&aacute;cter provisional, en todo caso, durante el plazo establecido para solicitar revisi&oacute;n. Quienes no soliciten revisi&oacute;n de calificaciones, podr&aacute;n acceder a la papeleta definitiva a partir del 16 de junio, en la misma direcci&oacute;n web.
    </p><p class="article-text">
        El resto de estudiantes obtendr&aacute;n la papeleta definitiva tras la publicaci&oacute;n de los resultados de la segunda correcci&oacute;n, el 23 de junio.
    </p>]]></description>
      <dc:creator><![CDATA[Europa Press, ElDiarioAragón]]></dc:creator>
      <guid isPermaLink="true"><![CDATA[https://www.eldiario.es/aragon/sociedad/7-100-alumnos-afrontan-pau-aragon-detectores-fraude-nuevas-reglas-evaluacion_1_13268850.html]]></guid>
      <pubDate><![CDATA[Tue, 02 Jun 2026 11:37:50 +0000]]></pubDate>
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      <media:title><![CDATA[Más de 7.100 alumnos afrontan la PAU en Aragón con detectores contra el fraude y nuevas reglas de evaluación]]></media:title>
      <media:thumbnail url="https://static.eldiario.es/clip/6c9737f3-9624-4c85-a394-713531b8beb9_16-9-discover-aspect-ratio_default_0.jpg" width="1200" height="675"/>
      <media:keywords><![CDATA[EvAU - Evaluación para el Acceso a la Universidad,Selectividad,Universidad de Zaragoza]]></media:keywords>
    </item>
    <item>
      <title><![CDATA[Una intrusión informática afecta a la administración electrónica de Unizar en plena entrega de los TFG y TFM]]></title>
      <link><![CDATA[https://www.eldiario.es/aragon/sociedad/intrusion-informatica-afecta-administracion-electronica-unizar-plena-entrega-tfg-tfm_1_13265018.html]]></link>
      <description><![CDATA[<p><img src="https://static.eldiario.es/clip/cf6be9eb-6466-4507-a63f-a7cf078441b1_16-9-discover-aspect-ratio_default_0.jpg" width="1200" height="675" alt="Una intrusión informática afecta a la administración electrónica de Unizar en plena entrega de los TFG y TFM"></p><div class="subtitles"><p class="subtitle">Este lunes se ha recuperado el servicio de las herramientas afectadas, entre ellas la Sede Electrónica y el Registro Electrónico</p><p class="subtitle">El Colegio de Periodistas critica a Unizar por contratar para comunicación a una persona sin titulación periodística
</p></div><p class="article-text">
        La Universidad de Zaragoza ha sufrido este fin de semana una suspensi&oacute;n temporal de varios de sus servicios de administraci&oacute;n electr&oacute;nica tras detectar una intrusi&oacute;n en uno de sus sistemas, una incidencia que coincide con las fechas de entrega de numerosos Trabajos Fin de Grado (TFG) y Trabajos Fin de M&aacute;ster (TFM). Este lunes por la tarde se ha reestablecido el servicio, tal y como ha informado la instituci&oacute;n. 
    </p><p class="article-text">
        Seg&uacute;n han explicado a la comunidad educativa, como consecuencia de las tareas de recuperaci&oacute;n realizadas durante los &uacute;ltimos d&iacute;as, algunos usuarios podr&iacute;an seguir encontrando dificultades de acceso derivadas de informaci&oacute;n almacenada en la cach&eacute; de su navegador. En estos casos, se recomienda borrar la cach&eacute; o acceder al servicio mediante una ventana de navegaci&oacute;n privada o modo inc&oacute;gnito.
    </p><p class="article-text">
        La ca&iacute;da afecta a Heraldo, Circuito de Firmas, Valide, la Sede Electr&oacute;nica y el Registro Electr&oacute;nico, herramientas utilizadas habitualmente en la tramitaci&oacute;n de procedimientos acad&eacute;micos y administrativos. Algunos centros tienen fijadas fechas de dep&oacute;sito de TFG y TFM durante los primeros d&iacute;as de junio, por lo que la incidencia se ha producido en un momento especialmente relevante del calendario universitario.
    </p><p class="article-text">
        Seg&uacute;n ha informado la instituci&oacute;n, el Servicio de Inform&aacute;tica y Comunicaciones detect&oacute; la intrusi&oacute;n y activ&oacute; de inmediato los protocolos de seguridad correspondientes. Como medida preventiva, se procedi&oacute; a la suspensi&oacute;n temporal de los servicios afectados mientras se llevan a cabo las tareas de an&aacute;lisis, contenci&oacute;n y refuerzo de las medidas de protecci&oacute;n.
    </p><p class="article-text">
        En su comunicaci&oacute;n sobre la incidencia, la Universidad advirti&oacute; de que las personas inmersas en procedimientos, tr&aacute;mites o procesos que requieran el uso de las plataformas afectadas deber&aacute;n consultar la informaci&oacute;n publicada por sus respectivos centros, facultades o servicios universitarios. Asimismo, se&ntilde;al&oacute; que, en caso de ser necesario, estos organismos podr&aacute;n comunicar modificaciones de fechas, ampliaciones de plazo u otras medidas destinadas a evitar perjuicios derivados de la situaci&oacute;n.
    </p><p class="article-text">
        La Universidad indic&oacute; inicialmente que la incidencia podr&iacute;a prolongarse durante todo el pasado viernes y parte del fin de semana. Fuentes de la instituci&oacute;n han se&ntilde;alado a este diario que est&aacute; previsto que los servicios afectados vuelvan a estar operativos a lo largo de este lunes. La restauraci&oacute;n de las herramientas se realizar&aacute; de forma progresiva una vez existan las garant&iacute;as t&eacute;cnicas y de seguridad necesarias. Mientras tanto, la Universidad ha pedido comprensi&oacute;n a la comunidad universitaria y ha asegurado que continuar&aacute; informando de cualquier novedad relevante a trav&eacute;s de sus canales oficiales.
    </p><p class="article-text">
        Por el momento, la instituci&oacute;n no ha facilitado m&aacute;s detalles sobre el origen o el alcance de la intrusi&oacute;n detectada y mantiene abiertas las labores de comprobaci&oacute;n y seguridad antes de restablecer completamente el funcionamiento de los servicios afectados.
    </p>]]></description>
      <dc:creator><![CDATA[ElDiarioAragón]]></dc:creator>
      <guid isPermaLink="true"><![CDATA[https://www.eldiario.es/aragon/sociedad/intrusion-informatica-afecta-administracion-electronica-unizar-plena-entrega-tfg-tfm_1_13265018.html]]></guid>
      <pubDate><![CDATA[Mon, 01 Jun 2026 09:37:28 +0000]]></pubDate>
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      <media:title><![CDATA[Una intrusión informática afecta a la administración electrónica de Unizar en plena entrega de los TFG y TFM]]></media:title>
      <media:thumbnail url="https://static.eldiario.es/clip/cf6be9eb-6466-4507-a63f-a7cf078441b1_16-9-discover-aspect-ratio_default_0.jpg" width="1200" height="675"/>
      <media:keywords><![CDATA[Universidad de Zaragoza,Informática]]></media:keywords>
    </item>
    <item>
      <title><![CDATA[El Colegio de Periodistas critica a Unizar por contratar para comunicación a una persona sin titulación periodística]]></title>
      <link><![CDATA[https://www.eldiario.es/aragon/sociedad/colegio-periodistas-critica-unizar-contratar-comunicacion-persona-titulacion-periodistica_1_13250263.html]]></link>
      <description><![CDATA[<p><img src="https://static.eldiario.es/clip/9cd77b51-cf20-4f9f-b8bf-a668e787cee3_16-9-discover-aspect-ratio_default_0.jpg" width="1200" height="675" alt="El Colegio de Periodistas critica a Unizar por contratar para comunicación a una persona sin titulación periodística"></p><div class="subtitles"><p class="subtitle">Consideran "desacertado" que no se exija un título específico para un puesto que incluye funciones propias de este ámbito profesional</p><p class="subtitle">El Colegio de Periodistas de Aragón denuncia que la Universidad convoca becas de Comunicación sin pedir título de Periodismo
</p></div><p class="article-text">
        El Colegio Profesional de Periodistas de Arag&oacute;n ha criticado a la Universidad de Zaragoza por adjudicar una plaza t&eacute;cnica de comunicaci&oacute;n y divulgaci&oacute;n a una candidata sin grado en Periodismo o Comunicaci&oacute;n y ha reclamado que este tipo de puestos requieran una titulaci&oacute;n espec&iacute;fica vinculada al &aacute;mbito informativo.
    </p><p class="article-text">
        La pol&eacute;mica surge a ra&iacute;z de la convocatoria PRI-01/2026, impulsada por la Universidad de Zaragoza para crear una lista de reserva de personal laboral vinculado a la l&iacute;nea de investigaci&oacute;n 'Innovaci&oacute;n y Sociedad Digital' del Instituto Universitario de Investigaci&oacute;n en Empleo, Sociedad Digital y Sostenibilidad (IEDIS). Las bases defin&iacute;an expresamente la plaza dentro del &ldquo;&aacute;rea funcional de comunicaci&oacute;n y divulgaci&oacute;n&rdquo;.
    </p><p class="article-text">
        Entre las funciones previstas figuraban la comunicaci&oacute;n y difusi&oacute;n de resultados de I+D+i, la planificaci&oacute;n de actividades de divulgaci&oacute;n cient&iacute;fica, la gesti&oacute;n de la p&aacute;gina web del instituto y la elaboraci&oacute;n de contenidos y gesti&oacute;n de redes sociales. Sin embargo, la convocatoria no exig&iacute;a una titulaci&oacute;n espec&iacute;fica en Periodismo o Comunicaci&oacute;n, sino &uacute;nicamente disponer de un grado universitario gen&eacute;rico, licenciatura, ingenier&iacute;a o arquitectura. 
    </p><p class="article-text">
        Desde el Colegio de Periodistas insisten en que no cuestionan ni la legalidad del procedimiento ni la capacidad profesional de la persona seleccionada, que cuenta con un grado del &aacute;mbito econ&oacute;mico-social y un m&aacute;ster en comunicaci&oacute;n. La cr&iacute;tica se dirige al planteamiento de la convocatoria y al peso otorgado a la formaci&oacute;n espec&iacute;fica en Periodismo.
    </p><p class="article-text">
        El baremo otorgaba ocho puntos al grado en Periodismo o Comunicaci&oacute;n, frente a los siete puntos que sumaban otras titulaciones del &aacute;mbito de las Ciencias Sociales o Jur&iacute;dicas junto con un m&aacute;ster en Comunicaci&oacute;n. La candidata que encabeza la lista cuenta con este &uacute;ltimo perfil acad&eacute;mico, por lo que sum&oacute; siete puntos. El Colegio no cuestiona la legalidad formal del procedimiento, puesto que efectivamente la ley no obliga a exigir una titulaci&oacute;n vinculada a la comunicaci&oacute;n, pero s&iacute; considera&nbsp;&ldquo;desacertado&rdquo;&nbsp;que para una plaza destinada a comunicar, divulgar, elaborar contenidos y gestionar canales informativos no se requiera una titulaci&oacute;n en Periodismo o Comunicaci&oacute;n.
    </p><p class="article-text">
        El proceso selectivo inclu&iacute;a adem&aacute;s una prueba pr&aacute;ctica consistente en elaborar una memoria de entre cinco y diez p&aacute;ginas sobre la planificaci&oacute;n de la comunicaci&oacute;n del congreso anual del IEDIS. La candidata que encabeza finalmente la lista de reserva obtuvo 26 puntos sobre 30 en esta fase, la puntuaci&oacute;n m&aacute;s alta del proceso &mdash;compartida con la segunda candidata&mdash;, en el que compet&iacute;a con personas con una amplia experiencia en medios y en labores de comunicaci&oacute;n. 
    </p><p class="article-text">
        El Colegio Profesional de Periodistas de Arag&oacute;n sostiene que la comunicaci&oacute;n p&uacute;blica, institucional, cient&iacute;fica y digital &ldquo;no es una tarea accesoria&rdquo;, sino una labor especializada que requiere formaci&oacute;n, criterio profesional, responsabilidad &eacute;tica y conocimiento de los procesos informativos. Por ello, considera especialmente llamativo que esta situaci&oacute;n se produzca en una universidad p&uacute;blica que imparte estudios de Periodismo y Comunicaci&oacute;n. 
    </p><p class="article-text">
        La entidad reclama ahora a la Universidad de Zaragoza que, en futuras convocatorias vinculadas a la comunicaci&oacute;n, divulgaci&oacute;n y gesti&oacute;n informativa, defina con mayor precisi&oacute;n los perfiles profesionales y contemple la titulaci&oacute;n en Periodismo o Comunicaci&oacute;n como requisito preferente o determinante cuando las funciones del puesto as&iacute; lo justifiquen.
    </p>]]></description>
      <dc:creator><![CDATA[ElDiarioAragón]]></dc:creator>
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      <pubDate><![CDATA[Tue, 26 May 2026 10:28:55 +0000]]></pubDate>
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      <media:keywords><![CDATA[Universidad de Zaragoza,Medios de comunicación,Colegios Profesionales,Periodistas]]></media:keywords>
    </item>
    <item>
      <title><![CDATA[Premiado un estudio de la UCLM que demuestra los beneficios de ejercicios de fuerza en personas centenarias]]></title>
      <link><![CDATA[https://www.eldiario.es/castilla-la-mancha/universidades/premiado-estudio-uclm-demuestra-beneficios-ejercicios-fuerza-personas-centenarias_1_13211803.html]]></link>
      <description><![CDATA[<p><img src="https://static.eldiario.es/clip/f2a32418-6b52-4d0b-bdb2-c129e8ec31c1_16-9-discover-aspect-ratio_default_0.jpg" width="1200" height="675" alt="Premiado un estudio de la UCLM que demuestra los beneficios de ejercicios de fuerza en personas centenarias"></p><div class="subtitles"><p class="subtitle">La investigación ha sido desarrollada por personal de las universidades de Castilla-La Mancha, Zaragoza y Alcalá. Los resultados mostraron mejoras en la potencia muscular, la movilidad, el autocuidado y las actividades habituales de la vida diaria</p><p class="subtitle">29 científicos de la UCLM, homenajeados por el 25º aniversario del programa Ramón y Cajal</p></div><p class="article-text">
        Una investigaci&oacute;n en la que ha participado el grupo GENUD Toledo de la Universidad de Castilla-La Mancha (UCLM) ha obtenido el segundo puesto en los Premios Nacionales de Investigaci&oacute;n en Medicina del Deporte convocados por la Universidad de Oviedo y Fundaci&oacute;n Cajastur. El trabajo demuestra los beneficios del entrenamiento de fuerza en personas centenarias institucionalizadas, concluyendo &ldquo;que el ejercicio supervisado mejora la potencia muscular, la movilidad y la calidad de vida incluso en edades de longevidad extrema&rdquo;.
    </p><p class="article-text">
        El galard&oacute;n ha reca&iacute;do en el estudio 'Nunca es tarde: Efectos del entrenamiento de fuerza sobre la potencia muscular, la calidad de vida, la discapacidad, la capacidad intr&iacute;nseca y los biomarcadores sangu&iacute;neos en centenarios institucionalizados', desarrollado por personal investigador de las universidades de Castilla-La Mancha, Zaragoza y Alcal&aacute;.
    </p><h2 class="article-text">Mejoras en la potencia muscular, movilidad y autocuidado</h2><p class="article-text">
        La investigaci&oacute;n analiz&oacute; los efectos de un programa de entrenamiento de fuerza supervisado en personas centenarias residentes en instituciones. Las personas participantes realizaron dos sesiones semanales durante doce semanas y, al t&eacute;rmino de la intervenci&oacute;n, el equipo investigador evalu&oacute; diferentes par&aacute;metros f&iacute;sicos y de salud, adem&aacute;s de indicadores relacionados con la calidad de vida.
    </p><p class="article-text">
        Los resultados mostraron mejoras en la potencia muscular, la movilidad, el autocuidado y las actividades habituales de la vida diaria. El estudio tambi&eacute;n constat&oacute; una reducci&oacute;n de par&aacute;metros asociados a la ansiedad o depresi&oacute;n. Seg&uacute;n el equipo investigador, &ldquo;el entrenamiento de fuerza, aplicado en condiciones adecuadas y bajo supervisi&oacute;n, puede reducir de forma efectiva y segura la discapacidad en personas centenarias institucionalizadas, adem&aacute;s de mejorar su calidad de vida&rdquo;.
    </p><p class="article-text">
        El trabajo aporta adem&aacute;s un mensaje relevante para el &aacute;mbito de la salud y el envejecimiento activo: &ldquo;nunca es demasiado tarde para beneficiarse de la pr&aacute;ctica de ejercicio f&iacute;sico, ni siquiera en personas con edades excepcionalmente avanzadas&rdquo;.
    </p><p class="article-text">
        A la entrega de premios, celebrada en el edificio hist&oacute;rico de la Universidad de Oviedo bajo la presidencia del rector, Ignacio Villaverde, asistieron, en representaci&oacute;n de las personas responsables del estudio, &Aacute;ngel Buend&iacute;a Romero, Adri&aacute;n Hern&aacute;ndez Vicente, Luis Mar&iacute;a &Aacute;legre Dur&aacute;n, Germ&aacute;n Vicente Rodr&iacute;guez, Ignacio Ara Royo y Nuria Garatachea Vallejo.
    </p>]]></description>
      <dc:creator><![CDATA[elDiarioclm.es]]></dc:creator>
      <guid isPermaLink="true"><![CDATA[https://www.eldiario.es/castilla-la-mancha/universidades/premiado-estudio-uclm-demuestra-beneficios-ejercicios-fuerza-personas-centenarias_1_13211803.html]]></guid>
      <pubDate><![CDATA[Mon, 11 May 2026 12:25:27 +0000]]></pubDate>
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      <media:title><![CDATA[Premiado un estudio de la UCLM que demuestra los beneficios de ejercicios de fuerza en personas centenarias]]></media:title>
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      <media:keywords><![CDATA[Universidad de Castilla-La Mancha,Universidad de Zaragoza,Universidad de Alcalá,Universidad,Investigadores,Investigación científica]]></media:keywords>
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    <item>
      <title><![CDATA[Investigadores de Zaragoza desarrollan nanopartículas de platino que aumentan la eficacia de la radioterapia contra el cáncer]]></title>
      <link><![CDATA[https://www.eldiario.es/aragon/zaragoza/investigadores-zaragoza-desarrollan-nanoparticulas-platino-aumentan-eficacia-radioterapia-cancer_1_13210626.html]]></link>
      <description><![CDATA[<p><img src="https://static.eldiario.es/clip/b8acf052-9a1b-4a93-bab6-cc622f6f7c40_16-9-discover-aspect-ratio_default_0.jpg" width="1200" height="675" alt="Investigadores de Zaragoza desarrollan nanopartículas de platino que aumentan la eficacia de la radioterapia contra el cáncer"></p><div class="subtitles"><p class="subtitle">Un equipo liderado por científicos de la Universidad de Zaragoza en el INMA (CSIC-Unizar) utiliza partículas de Pt “ultrapequeñas” con un tamaño de 2-3 nm, para multiplicar la eficacia de la radioterapia. El estudio ha sido publicado en la prestigiosa revista científica 'Advanced Functional Materials'
</p><p class="subtitle">El Hospital Clínico de Zaragoza realiza por primera vez en España una intervención de radioterapia intraoperatoria vertebral
</p></div><p class="article-text">
        Un equipo liderado por cient&iacute;ficos de la Universidad de Zaragoza en el Instituto de Nanociencia y Materiales de Arag&oacute;n (INMA-CSIC-Unizar) ha desarrollado nanopart&iacute;culas de platino &ldquo;ultrapeque&ntilde;as&rdquo;, de apenas 2-3 nan&oacute;metros, capaces de multiplicar la eficacia de la radioterapia. El trabajo, publicado en la revista cient&iacute;fica 'Advanced Functional Materials', demuestra que estas part&iacute;culas producen un doble efecto terap&eacute;utico antitumoral: por un lado, amplifican el da&ntilde;o causado por la radiaci&oacute;n y, por otro, reducen la capacidad de reparaci&oacute;n de las c&eacute;lulas cancerosas al &ldquo;reoxigenar&rdquo; los tumores.
    </p><p class="article-text">
        Investigadores de la Universidad de Zaragoza en el Instituto de Nanociencia y Materiales de Arag&oacute;n (INMA), centro mixto del Consejo Superior de Investigaciones Cient&iacute;ficas (CSIC) y la Universidad de Zaragoza, han desarrollado estas nanopart&iacute;culas en colaboraci&oacute;n con el Instituto de Salud Carlos III, el Centro Nacional de Investigaciones Oncol&oacute;gicas (CNIO) y la Universidad de Elche.
    </p><p class="article-text">
        El estudio demuestra que las part&iacute;culas act&uacute;an mediante un innovador doble mecanismo f&iacute;sico y qu&iacute;mico, logrando frenar el crecimiento tumoral y aumentar la supervivencia en modelos animales. El trabajo ha sido liderado en el INMA por Miguel Encinas, Jos&eacute; Ignacio Garc&iacute;a-Peir&oacute;, Jos&eacute; Luis Hueso y Jes&uacute;s Santamar&iacute;a. El INMA, &uacute;nico centro de excelencia Severo Ochoa de Arag&oacute;n, desarrolla esta investigaci&oacute;n dentro de una de sus l&iacute;neas estrat&eacute;gicas centradas en terapias avanzadas contra el c&aacute;ncer.
    </p><h2 class="article-text">Un avance frente a uno de los grandes problemas de la radioterapia</h2><p class="article-text">
        La investigaci&oacute;n aborda uno de los principales obst&aacute;culos de la radioterapia: la hipoxia tumoral, es decir, la falta de ox&iacute;geno en el interior de los tumores s&oacute;lidos.
    </p><p class="article-text">
        Los tumores crecen tan r&aacute;pido que sus vasos sangu&iacute;neos suelen ser defectuosos, generando entornos pobres en ox&iacute;geno. En esas condiciones, la radioterapia pierde eficacia, ya que el da&ntilde;o que provoca en el ADN de las c&eacute;lulas cancerosas puede repararse y el tumor acaba desarrollando resistencia al tratamiento.
    </p><p class="article-text">
        Para combatir este problema, los investigadores han dise&ntilde;ado nanopart&iacute;culas de platino de menos de tres nan&oacute;metros, miles de veces m&aacute;s peque&ntilde;as que el grosor de un cabello. Estas part&iacute;culas pueden administrarse tanto por v&iacute;a intravenosa como directamente en el tumor y act&uacute;an simult&aacute;neamente por dos v&iacute;as complementarias.
    </p><p class="article-text">
        Por un lado, el platino aumenta la eficacia de la radiaci&oacute;n gracias a su elevada capacidad de absorci&oacute;n, amplificando el llamado efecto Compton y generando electrones secundarios que multiplican el da&ntilde;o directo sobre el ADN tumoral.
    </p><p class="article-text">
        Por otro, el platino ejerce una acci&oacute;n catal&iacute;tica que genera ox&iacute;geno en el entorno del tumor. De este modo, revierte la hipoxia y dificulta que las c&eacute;lulas cancerosas puedan reparar el da&ntilde;o provocado por la radiaci&oacute;n, aumentando as&iacute; la eficacia del tratamiento.
    </p><p class="article-text">
        Adem&aacute;s, los estudios no han detectado toxicidad sist&eacute;mica y el tama&ntilde;o ultrapeque&ntilde;o de las nanopart&iacute;culas facilita su eliminaci&oacute;n progresiva del organismo a trav&eacute;s de la orina.
    </p><p class="article-text">
        Por el momento, los experimentos se han realizado en modelos celulares y animales, donde ya se ha demostrado la capacidad de las nanopart&iacute;culas para potenciar la radioterapia. No obstante, los investigadores subrayan que se trata todav&iacute;a de una prueba de concepto alejada de una aplicaci&oacute;n cl&iacute;nica inmediata.
    </p>]]></description>
      <dc:creator><![CDATA[ElDiarioAragón]]></dc:creator>
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      <pubDate><![CDATA[Mon, 11 May 2026 08:18:04 +0000]]></pubDate>
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      <media:title><![CDATA[Investigadores de Zaragoza desarrollan nanopartículas de platino que aumentan la eficacia de la radioterapia contra el cáncer]]></media:title>
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      <media:keywords><![CDATA[Radioterapia,Investigación,Universidad de Zaragoza,Cáncer]]></media:keywords>
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    <item>
      <title><![CDATA[La Universidad de Zaragoza lidera una investigación que analizará la calidad del aire a ambos lados del Pirineo]]></title>
      <link><![CDATA[https://www.eldiario.es/aragon/sociedad/universidad-zaragoza-lidera-investigacion-analizara-calidad-aire-lados-pirineo_1_13185709.html]]></link>
      <description><![CDATA[<p><img src="https://static.eldiario.es/clip/d1c77b69-5fab-4085-b47e-8966c9a5fdd1_16-9-discover-aspect-ratio_default_0.jpg" width="1200" height="675" alt="La Universidad de Zaragoza lidera una investigación que analizará la calidad del aire a ambos lados del Pirineo"></p><div class="subtitles"><p class="subtitle">Científicos de España y Francia participan en la primera reunión del proyecto europeo ECOAIR, que coordina el físico Miguel Escudero del instituto BIFI-Unizar

</p><p class="subtitle">El 55% de la población de Aragón respiró en 2024 aire contaminado por encima de los nuevos límites legales
</p></div><p class="article-text">
        La contaminaci&oacute;n atmosf&eacute;rica no conoce fronteras. Bajo esta premisa, cient&iacute;ficos de Espa&ntilde;a y Francia han participado hoy en la primera reuni&oacute;n del proyecto europeo ECOAIR (ECOsistemas y AIRe limpio), liderado por la Universidad de Zaragoza para evaluar la calidad del aire a ambos lados del Pirineo. Esta ambiciosa iniciativa de investigaci&oacute;n, centrada en analizar la contaminaci&oacute;n atmosf&eacute;rica por material particulado y sus efectos en los seres vivos y el entorno natural, contempla el muestreo durante tres a&ntilde;os en 13 puntos estrat&eacute;gicos. Estos abarcan desde ciudades con tr&aacute;fico hasta zonas remotas del Pirineo, incluyendo Zaragoza, Toulouse, Perpi&ntilde;&aacute;n, Ordesa, Monte Perdido y el Pic du Midi, as&iacute; como &aacute;reas de elevada carga agroganadera como Bujaraloz, entre otras.
    </p><p class="article-text">
        &ldquo;La contaminaci&oacute;n del aire es un problema que va mucho m&aacute;s all&aacute; de lo que respiramos; part&iacute;culas invisibles, gases como el amon&iacute;aco y diminutos micropl&aacute;sticos viajan largas distancias y terminan &rdquo;cayendo&ldquo; sobre nuestros bosques y lagos, alterando su equilibrio natural y da&ntilde;ando la biodiversidad&rdquo;, ha destacado el investigador principal del proyecto, el f&iacute;sico Miguel Escudero, del Instituto Universitario de Investigaci&oacute;n de Biocomputaci&oacute;n y F&iacute;sica de Sistemas Complejos (BIFI) de la Universidad de Zaragoza. Al analizar c&oacute;mo estos contaminantes afectan especialmente a los lagos de alta monta&ntilde;a &mdash;que act&uacute;an como espejos de la calidad del aire&mdash;, el equipo cient&iacute;fico busca comprender el recorrido de la poluci&oacute;n y proponer soluciones reales para conservar estos paisajes especialmente vulnerables.
    </p><p class="article-text">
        La vicerrectora de Pol&iacute;tica Cient&iacute;fica, Pilar Pina, que ha dado la bienvenida a los asistentes del consorcio, ha subrayado por su parte que este esfuerzo transfronterizo no solo generar&aacute; conocimiento cient&iacute;fico, sino que &ldquo;servir&aacute; de gu&iacute;a para que los gobiernos puedan adaptarse a las nuevas y exigentes normativas de calidad del aire de la Uni&oacute;n Europea&rdquo;. Pilar Pina ha a&ntilde;adido que este trabajo tambi&eacute;n contribuye a &ldquo;concienciar a la sociedad sobre el impacto de nuestras actividades en el aire que compartimos&rdquo;. En definitiva, ha destacado que se trata de convertir la investigaci&oacute;n en una herramienta de gesti&oacute;n eficaz que garantice &ldquo;un entorno m&aacute;s limpio y saludable para las personas y los ecosistemas, demostrando que la cooperaci&oacute;n internacional es la &uacute;nica v&iacute;a para proteger una naturaleza que no entiende de fronteras&rdquo;.
    </p><p class="article-text">
        La investigaci&oacute;n se centrar&aacute; en la monitorizaci&oacute;n de part&iacute;culas finas (PM2.5), otros gases relevantes como el amon&iacute;aco y la deposici&oacute;n atmosf&eacute;rica &mdash;incluida la de micropl&aacute;sticos&mdash; en 13 puntos de muestreo estrat&eacute;gicos. El objetivo final es proponer medidas de gesti&oacute;n que contribuyan a reducir la contaminaci&oacute;n y mejorar el seguimiento cient&iacute;fico en &aacute;reas de alta vulnerabilidad ecol&oacute;gica, como los lagos de alta monta&ntilde;a.
    </p><p class="article-text">
        Adem&aacute;s del campus p&uacute;blico aragon&eacute;s, el consorcio est&aacute; integrado por el Consejo Superior de Investigaciones Cient&iacute;ficas a trav&eacute;s del Instituto Pirenaico de Ecolog&iacute;a en Espa&ntilde;a y, en Francia, la Universit&eacute; de Perpignan Via Domitia junto a dos centros del Centre National de la Recherche Scientifique: el G&eacute;osciences Environnement Toulouse y el Centre de Recherche sur la Biodiversit&eacute; et l&rsquo;Environnement. Por parte de la Universidad de Zaragoza participan Nati Miguel (Departamento de Ingenier&iacute;a Qu&iacute;mica y Tecnolog&iacute;as del Medio Ambiente); Enrique Samperio e I&ntilde;aki Gil (Departamento de Ingenier&iacute;a de Dise&ntilde;o y Fabricaci&oacute;n); y Roc&iacute;o L&oacute;pez (Departamento de Ciencias Agrarias y del Medio Natural), adem&aacute;s del propio Miguel Escudero como investigador principal, adscrito al Departamento de F&iacute;sica Aplicada.
    </p><p class="article-text">
        La relevancia de este estudio es m&aacute;xima en el actual contexto de salud p&uacute;blica y conservaci&oacute;n ambiental. La exposici&oacute;n a part&iacute;culas finas (PM2.5) constituye una de las principales causas de mortalidad prematura y enfermedades respiratorias en humanos, mientras que la deposici&oacute;n de estos aerosoles &mdash;cargados de metales pesados y nutrientes en exceso&mdash; provoca la acidificaci&oacute;n de suelos y fen&oacute;menos de eutrofizaci&oacute;n en lagos de alta monta&ntilde;a.
    </p><p class="article-text">
        El trabajo de ECOAIR cobra adem&aacute;s especial importancia ante la reciente entrada en vigor de la nueva Directiva de Calidad del Aire de la Uni&oacute;n Europea (2024/2881), que establece l&iacute;mites mucho m&aacute;s estrictos para proteger la biodiversidad y la salud ciudadana.
    </p><p class="article-text">
        Al generar datos in&eacute;ditos sobre contaminantes emergentes y proponer planes de acci&oacute;n conjuntos, el proyecto servir&aacute; de referencia para que los gestores ambientales adapten sus pol&iacute;ticas a los nuevos requerimientos normativos europeos, reforzando la resiliencia de los ecosistemas pirenaicos frente a las amenazas atmosf&eacute;ricas.
    </p><p class="article-text">
        Con un presupuesto total de 1.559.578,34 euros &mdash;cofinanciado al 65% por el Fondo Europeo de Desarrollo Regional (FEDER)&mdash;, el estudio se enmarca en la convocatoria Interreg VI-A Espa&ntilde;a-Francia-Andorra (POCTEFA 2021-2027) y tendr&aacute; una duraci&oacute;n de 36 meses, desde enero de 2026 hasta enero de 2029.
    </p>]]></description>
      <dc:creator><![CDATA[ElDiarioAragón]]></dc:creator>
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      <pubDate><![CDATA[Thu, 30 Apr 2026 11:46:36 +0000]]></pubDate>
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      <media:title><![CDATA[La Universidad de Zaragoza lidera una investigación que analizará la calidad del aire a ambos lados del Pirineo]]></media:title>
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      <media:keywords><![CDATA[Contaminación Atmosférica,Pirineo aragonés,Universidad de Zaragoza]]></media:keywords>
    </item>
    <item>
      <title><![CDATA[Un joven investigador de Zaragoza, reconocido internacionalmente por su tesis doctoral en realidad virtual]]></title>
      <link><![CDATA[https://www.eldiario.es/aragon/sociedad/joven-investigador-zaragoza-reconocido-internacionalmente-tesis-doctoral-realidad-virtual_1_13124129.html]]></link>
      <description><![CDATA[<p><img src="https://static.eldiario.es/clip/757566c8-8921-4518-88d5-e65f8766107f_16-9-discover-aspect-ratio_default_0.jpg" width="1200" height="675" alt="Un joven investigador de Zaragoza, reconocido internacionalmente por su tesis doctoral en realidad virtual"></p><div class="subtitles"><p class="subtitle">Su investigación se centra en la realidad extendida y abarca temas como la comprensión y el modelado de la atención visual, la multimodalidad, la generación de contenido y las manipulaciones perceptivas</p><p class="subtitle">Premiada una herramienta para predecir récords climáticos diseñada por estadísticos de la Universidad de Zaragoza</p></div><p class="article-text">
        El joven investigador del Instituto de Investigaci&oacute;n en Ingenier&iacute;a de Arag&oacute;n (I3A) y profesor de la Universidad de Zaragoza, Daniel Mart&iacute;n Serrano, ha sido distinguido con una&nbsp;menci&oacute;n honor&iacute;fica&nbsp;en el &ldquo;Best Dissertation Award 2026&rdquo;<strong>,&nbsp;</strong>otorgado por el IEEE VGTC, una de las organizaciones cient&iacute;ficas y tecnol&oacute;gicas m&aacute;s grandes y prestigiosas del mundo, en &aacute;reas como la visualizaci&oacute;n de datos, los gr&aacute;ficos por computador y la realidad virtual y aumentada.
    </p><p class="article-text">
        Daniel Mart&iacute;n, del grupo de investigaci&oacute;n Graphics &amp; Imaging Lab, recogi&oacute; este galard&oacute;n durante la celebraci&oacute;n del congreso IEEE VR 2026, celebrado en Daegu, uno de los encuentros cient&iacute;ficos m&aacute;s relevantes a nivel mundial en el &aacute;mbito de la realidad virtual y las interfaces 3D.
    </p><p class="article-text">
        Los premios Best Dissertation Award reconocen anualmente las mejores tesis doctorales&nbsp;defendidas en los &uacute;ltimos a&ntilde;os en el campo de la realidad virtual, en un proceso altamente competitivo en el que participan decenas de investigadores de todo el mundo.
    </p><p class="article-text">
        Daniel Martin, doctorado en 2024 por la Universidad de Zaragoza, donde es profesor ayudante, se ha hecho con la Menci&oacute;n Honor&iacute;fica del Premio VGTC a la Mejor Tesis Doctoral en Realidad Virtual 2026 titulada&nbsp;&ldquo;Modelos Computacionales de Atenci&oacute;n Visual y Comportamiento de la Mirada en Realidad Virtual&rdquo;,&nbsp;que realiz&oacute; bajo la supervisi&oacute;n de la profesora e investigadora Bel&eacute;n Masi&aacute; y el profesor e investigador Diego Guti&eacute;rrez.
    </p><p class="article-text">
        Su investigaci&oacute;n se centra en la&nbsp;realidad extendida&nbsp;y abarca temas como&nbsp;la comprensi&oacute;n y el modelado de la atenci&oacute;n visual, la multimodalidad, la generaci&oacute;n de contenido y las manipulaciones perceptivas, abordados desde una perspectiva ecol&oacute;gicamente v&aacute;lida y centrada en el usuario.
    </p><p class="article-text">
        Aborda&nbsp;dos problemas principales en la realidad virtual. En el primero, proporciona varios modelos computacionales de atenci&oacute;n visual y comportamiento de la mirada en entornos inmersivos. En segundo lugar, estudia diversas manipulaciones perceptivas, como la ceguera al cambio y la manipulaci&oacute;n del movimiento. En definitiva, su tesis ofrece pasos hacia una mejor comprensi&oacute;n de la atenci&oacute;n y la percepci&oacute;n humana, que siempre deben ser la piedra angular en el desarrollo de nuevas tecnolog&iacute;as XR.
    </p><p class="article-text">
        La menci&oacute;n honor&iacute;fica que ha obtenido sit&uacute;a su trabajo entre los m&aacute;s destacados a nivel internacional y consolida su contribuci&oacute;n como una de las m&aacute;s relevantes dentro de su &aacute;rea de investigaci&oacute;n en la Universidad de Zaragoza.
    </p><p class="article-text">
        &ldquo;Es muy emocionante y gratificante recibir un premio de este calibre. Detr&aacute;s hay muchos a&ntilde;os de trabajo y esfuerzo,&nbsp;tanto m&iacute;o, como de todos aquellos que me han acompa&ntilde;ado en este camino, incluido todo mi grupo. Y lo que es m&aacute;s importante: Sit&uacute;a a nuestro grupo en una situaci&oacute;n de gran visibilidad y mucho impacto internacional, algo que es estupendo tanto para nosotros como para todos los j&oacute;venes investigadores que vengan despu&eacute;s. Espero con ilusi&oacute;n las pr&oacute;ximas aventuras en las que nos embarquemos en el grupo&rdquo;, ha se&ntilde;alado Daniel Mart&iacute;n.
    </p><p class="article-text">
        Es importante subrayar que este reconocimiento tiene un valor a&ntilde;adido tanto para el I3A Unizar como para su grupo de investigaci&oacute;n, ya que incrementa su posicionamiento como referente en el &aacute;mbito de la realidad virtual.
    </p><p class="article-text">
        Y es que&nbsp;este premio se suma al que consigui&oacute; otra joven investigadora del Graphics &amp; Imaging Lab&nbsp;en 2024, Ana Serrano, el Significant New Researcher Award de esta misma sociedad cient&iacute;fica, lo que convierte a su grupo y a la Universidad de Zaragoza en las primeras que cuentan con ambos galardones del IEEE VGTC en este &aacute;mbito.
    </p><p class="article-text">
        El IEEE VGTC forma parte del IEEE, la mayor organizaci&oacute;n profesional t&eacute;cnica del mundo. Esta comunidad agrupa a especialistas en visualizaci&oacute;n, gr&aacute;ficos por computador y realidad virtual, y promueve algunos de los congresos y premios m&aacute;s influyentes en estos campos.
    </p>]]></description>
      <dc:creator><![CDATA[ElDiarioAragón]]></dc:creator>
      <guid isPermaLink="true"><![CDATA[https://www.eldiario.es/aragon/sociedad/joven-investigador-zaragoza-reconocido-internacionalmente-tesis-doctoral-realidad-virtual_1_13124129.html]]></guid>
      <pubDate><![CDATA[Tue, 07 Apr 2026 12:18:38 +0000]]></pubDate>
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      <media:title><![CDATA[Un joven investigador de Zaragoza, reconocido internacionalmente por su tesis doctoral en realidad virtual]]></media:title>
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    <item>
      <title><![CDATA[Premiada una herramienta para predecir récords climáticos diseñada por estadísticos de la Universidad de Zaragoza]]></title>
      <link><![CDATA[https://www.eldiario.es/aragon/sociedad/premiada-herramienta-predecir-records-climaticos-disenada-estadisticos-universidad-zaragoza_1_13032959.html]]></link>
      <description><![CDATA[<p><img src="https://static.eldiario.es/clip/96685b1c-7b7b-469b-a737-fc93eafde6b0_16-9-discover-aspect-ratio_default_0.jpg" width="1200" height="675" alt="Premiada una herramienta para predecir récords climáticos diseñada por estadísticos de la Universidad de Zaragoza"></p><div class="subtitles"><p class="subtitle">La Sociedad de Estadística, Investigación Operativa y Ciencia de Datos (SEIO)-Fundación BBVA 2025 califica este trabajo como “Mejor Contribución Aplicada en Estadística” por su capacidad para extraer evidencias a partir de millones de datos</p><p class="subtitle">El verano de 2025 en Aragón: el tercero más cálido desde 1961, con un tercio de los días en ola de calor
</p></div><p class="article-text">
        Una innovadora herramienta para predecir r&eacute;cords clim&aacute;ticos dise&ntilde;ada por estad&iacute;sticos de la Universidad de Zaragoza (Unizar) acaba de ser reconocida a nivel nacional por la Sociedad de Estad&iacute;stica, Investigaci&oacute;n Operativa y Ciencia de Datos (SEIO)-Fundaci&oacute;n BBVA con el premio 'Mejor Contribuci&oacute;n Aplicada en Estad&iacute;stica'. 
    </p><p class="article-text">
        El jurado ha calificado esta investigaci&oacute;n de &ldquo;avance sustancial en el estudio de sucesos extremos relacionados con el cambio clim&aacute;tico&rdquo; y ha resaltado como cualidades espec&iacute;ficas del trabajo, que se trata de una colaboraci&oacute;n internacional y multidisciplinar, donde se afronta un reto de inter&eacute;s planteado desde la Climatolog&iacute;a, que ha requerido la propuesta de metodolog&iacute;a nueva, capaz de extraer evidencias a partir de millones de datos, incluso cuando la informaci&oacute;n clave se halla en fen&oacute;menos excepcionales, como los r&eacute;cords.
    </p><p class="article-text">
        Los galardonados del campus p&uacute;blico aragon&eacute;s pertenecen al Departamento de M&eacute;todos Estad&iacute;sticos y al Instituto Universitario de Matem&aacute;ticas y Aplicaciones (IUMA), Jorge Castillo Mateo y Zeus Gracia Tabuenca (profesores en la Facultad de Ciencias de la Salud), Jes&uacute;s As&iacute;n (EINA) y Ana C. Cebri&aacute;n (Facultad de Ciencias). Tambi&eacute;n ha participado Alan E. Gelfand, profesor distinguido de la c&aacute;tedra James B. Duke de la Duke University (Estados Unidos), nombrado Doctor Honoris Causa por Unizar en 2025, ha informado la instituci&oacute;n acad&eacute;mica.
    </p><p class="article-text">
        Los Premios SEIO-Fundaci&oacute;n BBVA se conceden anualmente desde 2020 por contribuciones pioneras realizadas en una universidad o centro cient&iacute;fico en Espa&ntilde;a. Su objetivo es incentivar la labor de los mejores investigadores en Estad&iacute;stica, Investigaci&oacute;n Operativa y Ciencia de Datos, as&iacute; como proyectar la importancia de su trabajo a la sociedad.
    </p><p class="article-text">
        En la ceremonia de entrega de los premios, celebrada en la sede de la Fundaci&oacute;n BBVA en Madrid, han representado a Unizar, adem&aacute;s de los premiados, el director del Departamento de M&eacute;todos Estad&iacute;sticos, Javier L&oacute;pez; la subdirectora del IUMA, Carmen Sang&uuml;esa; y la vicepresidenta de la SEIO, Carmen Gal&eacute;.
    </p><p class="article-text">
        En sus discursos, las autoridades han puesto de manifiesto el poder transversal de la estad&iacute;stica para orientar la toma de decisiones y el dise&ntilde;o de pol&iacute;ticas p&uacute;blicas eficaces frente a los grandes desaf&iacute;os del mundo actual. Las contribuciones reconocidas en la sexta edici&oacute;n de estos galardones reflejan c&oacute;mo el an&aacute;lisis riguroso de grandes vol&uacute;menes de datos, basado en la modelizaci&oacute;n estad&iacute;stica, es hoy &ldquo;indispensable para impulsar el avance del conocimiento en todos los campos de la investigaci&oacute;n y en los principales desaf&iacute;os a los que nos enfrentamos, desde el abordaje de la crisis ambiental hasta el despliegue de tecnolog&iacute;as disruptivas como la inteligencia artificial&rdquo;.
    </p><h2 class="article-text">Avances para abordar la emergencia clim&aacute;tica </h2><p class="article-text">
        Durante su discurso, el profesor Castillo ha agradecido la participaci&oacute;n del profesor Gelfand, referente internacional en modelizaci&oacute;n estad&iacute;stica y m&eacute;todos bayesianos, as&iacute; como el papel de la Agencia Estatal de Meteorolog&iacute;a (Aemet), cuyo trabajo continuo garantiza bases de datos de calidad.
    </p><p class="article-text">
        Gracias al uso de estos datos, la innovadora herramienta propuesta en el art&iacute;culo premiado permite analizar cu&aacute;ndo las temperaturas en Espa&ntilde;a rompen r&eacute;cords.
    </p><p class="article-text">
        &ldquo;Nuestro trabajo nace de una necesidad social urgente: comprender estos extremos clim&aacute;ticos&rdquo;, ha explicado Castillo. &ldquo;Hemos obtenido una herramienta para la predicci&oacute;n de r&eacute;cords en cualquier lugar y momento de nuestra geograf&iacute;a, cuantificando de manera exacta la incertidumbre. Esto nos permite diferenciar entre la an&eacute;cdota y un patr&oacute;n no estacionario, explicando a escala local la proporci&oacute;n de r&eacute;cords atribuible al cambio clim&aacute;tico&rdquo;, ha a&ntilde;adido.
    </p><p class="article-text">
        Por ello, esta contribuci&oacute;n ejemplifica c&oacute;mo la estad&iacute;stica &ldquo;no es solo una disciplina matem&aacute;tica&rdquo;, sino que puede definirse como &ldquo;el idioma fundamental con el que interpretar los grandes retos del siglo XXI&rdquo;. &ldquo;En ausencia de datos y de rigurosas medidas de incertidumbre, las decisiones ante la crisis clim&aacute;tica se tomar&iacute;an a ciegas&rdquo;, ha recalcado.
    </p><h2 class="article-text">Contribuci&oacute;n</h2><p class="article-text">
        Al abordar el cambio clim&aacute;tico, tan importante es considerar la evoluci&oacute;n de la temperatura media &ldquo;como el an&aacute;lisis de los extremos, es decir, las olas de calor o las grandes crecidas de los r&iacute;os, pues este tipo de eventos tienen consecuencias de gran impacto y muchas veces no est&aacute;n ligados unos con otros&rdquo;, ha expuesto Castillo.
    </p><p class="article-text">
        Del mismo modo, ha explicado que &ldquo;no exist&iacute;a una aplicaci&oacute;n que integre teor&iacute;a de r&eacute;cords y modelos espaciotemporales reales que permitan modelar y aprender sobre el cambio clim&aacute;tico&rdquo;.
    </p><p class="article-text">
        En este &aacute;mbito, la cantidad y la calidad de los registros se ha multiplicado, por lo que el problema ya no es la falta de informaci&oacute;n, sino saber interpretarla: &ldquo;Nuestra investigaci&oacute;n plantea una nueva perspectiva: proporciona &iacute;ndices que nos permiten precisar las localizaciones en el espacio o instantes temporales que presentan m&aacute;s riesgo de aumento de temperaturas y de otras contingencias clim&aacute;ticas, lo que es interesante para tomar medidas de prevenci&oacute;n&rdquo;.
    </p><p class="article-text">
        El equipo trabaja en extender esta l&iacute;nea de investigaci&oacute;n a las precipitaciones, donde establecer patrones de cambio clim&aacute;tico es m&aacute;s complicado, as&iacute; como en proponer nuevos modelos espacio-temporales que tendr&aacute;n que incorporar m&eacute;todos de modelizaci&oacute;n y algoritmos de estimaci&oacute;n que la literatura no ha abordado hasta ahora.
    </p><p class="article-text">
        Uno de los objetivos es obtener escenarios realistas de lluvia que ayuden tanto a prevenir incendios como a manejarlos una vez que se han producido.
    </p>]]></description>
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      <pubDate><![CDATA[Mon, 02 Mar 2026 12:38:35 +0000]]></pubDate>
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      <media:keywords><![CDATA[Universidad de Zaragoza,Clima]]></media:keywords>
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    <item>
      <title><![CDATA[Uno de cada diez adolescentes aragoneses ha hecho planes en los últimos doce meses para quitarse la vida]]></title>
      <link><![CDATA[https://www.eldiario.es/aragon/sociedad/diez-adolescentes-aragoneses-hecho-planes-ultimos-doce-meses-quitarse-vida_1_13003240.html]]></link>
      <description><![CDATA[<p><img src="https://static.eldiario.es/clip/565e67cc-daa6-4fa5-90ae-e86b14ce49f6_16-9-discover-aspect-ratio_default_0.jpg" width="1200" height="675" alt="Uno de cada diez adolescentes aragoneses ha hecho planes en los últimos doce meses para quitarse la vida"></p><div class="subtitles"><p class="subtitle">
Más de 1.000 estudiantes de secundaria de Aragón han participado este curso en un estudio de riesgo suicida en contextos escolares de la Universidad de Zaragoza 
</p><p class="subtitle">Un estudio sobre salud mental revela que casi un 5% de los adolescentes aragoneses “ha intentado suicidarse antes de los 15 años”</p></div><p class="article-text">
        Un total de 1.002 estudiantes de Arag&oacute;n han participado en un proyecto de investigaci&oacute;n de la Universidad de Zaragoza, que revela que, en los &uacute;ltimos 12 meses, un 24,4% ha sentido que la vida no val&iacute;a la pena, un 9,9% ha hecho planes para quitarse la vida y un 6,3% lo ha intentado. Aunque relevantes, estos datos muestran una prevalencia menor que la registrada en los cursos anteriores, con datos que superaban el 11% de tentativas suicidas en el curso 23/24.
    </p><p class="article-text">
        Como novedad, este curso los investigadores han buscado profundizar en la comprensi&oacute;n del proceso suicida mediante el an&aacute;lisis de las causas de los intentos de suicidio. En este sentido, los datos sugieren que la causa principal fue el deseo de dejar de sufrir o escapar del dolor emocional (47,8%), seguida del deseo de dejar de ser una carga para otros (17,4%), el deseo genuino de morir (11,6%), el intento de pedir ayuda (10,1%), como una forma de castigarse (10,1%) y, finalmente, como forma de castigar a terceros (2,9%).
    </p><p class="article-text">
        El estudio revela la relevancia que adquieren factores de riesgo como el acoso escolar, el uso problem&aacute;tico de redes sociales o estrategias de afrontamiento desadaptativas, correlacionando con un incremento de la ideaci&oacute;n y la conducta suicida. En contraposici&oacute;n, el buen funcionamiento familiar destaca como factor protector clave en la reducci&oacute;n del riesgo autol&iacute;tico.
    </p><p class="article-text">
        En lo que va de curso 2025-2026, los investigadores de la Universidad de Zaragoza Joel Juarros y H&eacute;ctor Morillo, junto al equipo de psicolog&iacute;a infantojuvenil de AFDA (Asociaci&oacute;n de Apoyo al Tratamiento de Ansiedad y Depresi&oacute;n en Arag&oacute;n) coordinado por S&eacute;fora Ene, han llevado a cabo por tercer a&ntilde;o consecutivo la recogida de datos del proyecto RISCE-ER<em> (Riesgo suicida en contextos escolares: evaluaci&oacute;n y respuesta)</em>, para cuyo desarrollo han contado con la colaboraci&oacute;n de siete centros educativos de secundaria, seis de la Comunidad Aut&oacute;noma de Arag&oacute;n y uno del Pa&iacute;s Vasco.
    </p><p class="article-text">
        El estudio, publicado en una revista de alto impacto cient&iacute;fico, ha permitido conocer con mayor profundidad esta realidad social, que actualmente figura entre las prioridades del Departamento de Educaci&oacute;n, Ciencia y Universidades del Gobierno de Arag&oacute;n. 
    </p><p class="article-text">
        Al igual que en a&ntilde;os anteriores, el proyecto RISCE junto con el Proyecto Crecer en Bienestar de AFDA y la Fundaci&oacute;n Miguel Carreras han mantenido el compromiso de intervenir y ofrecer asistencia psicol&oacute;gica gratuita a los participantes que lo solicitaron (un 7,8% del total del alumnado participante). Igualmente, los datos servir&aacute;n para el dise&ntilde;o de las propuestas de intervenci&oacute;n a nivel de centro educativo, de manera que respondan de manera espec&iacute;fica a las problem&aacute;ticas m&aacute;s urgentes de cada contexto.
    </p>]]></description>
      <dc:creator><![CDATA[ElDiarioAragón]]></dc:creator>
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      <pubDate><![CDATA[Thu, 19 Feb 2026 09:24:34 +0000]]></pubDate>
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      <media:title><![CDATA[Uno de cada diez adolescentes aragoneses ha hecho planes en los últimos doce meses para quitarse la vida]]></media:title>
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      <media:keywords><![CDATA[Adolescentes,Suicidio,Universidad de Zaragoza]]></media:keywords>
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    <item>
      <title><![CDATA[Investigadores aragoneses impulsan una nueva vía contra el cáncer con una patente basada en compuestos de cobre]]></title>
      <link><![CDATA[https://www.eldiario.es/aragon/sociedad/investigadores-aragoneses-impulsan-nueva-via-cancer-patente-basada-compuestos-cobre_1_12996514.html]]></link>
      <description><![CDATA[<p><img src="https://static.eldiario.es/clip/58e9f801-e8b3-428e-a8d5-d2151e59bf04_16-9-discover-aspect-ratio_default_0_x1446y1685.jpg" width="1200" height="675" alt="Investigadores aragoneses impulsan una nueva vía contra el cáncer con una patente basada en compuestos de cobre"></p><div class="subtitles"><p class="subtitle">Los primeros resultados son prometedores en modelos preclínicos de cáncer de mama, cuello de útero y páncreas</p><p class="subtitle">Investigadores de Unizar desarrollan una herramienta que usa la IA para mejorar el seguimiento del cáncer de próstata</p></div><p class="article-text">
        La investigaci&oacute;n aragonesa vuelve a situarse en la vanguardia cient&iacute;fica. El Instituto de S&iacute;ntesis Qu&iacute;mica y Cat&aacute;lisis Homog&eacute;nea (ISQCH), centro mixto del Consejo Superior de Investigaciones Cient&iacute;ficas (CSIC) y la Universidad de Zaragoza (UNIZAR), ha presentado una&nbsp;solicitud de patente europea para proteger una nueva familia de compuestos basados en cobre con potencial aplicaci&oacute;n en el tratamiento del c&aacute;ncer.
    </p><p class="article-text">
        La investigaci&oacute;n ha sido desarrollada por la&nbsp;profesora M. Concepci&oacute;n Gimeno, la Dra. Raquel P. Herrera y Guillermo Canudo-Barreras, investigadores del CSIC en el ISQCH,&nbsp;en colaboraci&oacute;n con Eduardo Romanos, del Instituto Aragon&eacute;s de Ciencias de la Salud (IACS). Los estudios realizados hasta el momento indican que estos nuevos compuestos han mostrado actividad relevante en modelos animales de<strong>&nbsp;</strong>c&aacute;ncer de mama, cuello de &uacute;tero y p&aacute;ncreas.
    </p><p class="article-text">
        Aunque tradicionalmente los tratamientos oncol&oacute;gicos se asocian a compuestos org&aacute;nicos, algunos medicamentos actuales ya incorporan metales en su estructura, aunque con ciertas dudas sobre sus efectos secundarios. En este contexto, el cobre emerge como una alternativa innovadora y segura que podr&iacute;a permitir el desarrollo de terapias con nuevos mecanismos de acci&oacute;n.
    </p><p class="article-text">
        La solicitud de patente representa un paso clave para proteger el conocimiento generado en Arag&oacute;n y facilitar su futura transferencia al &aacute;mbito cl&iacute;nico. Este tipo de avances demuestra c&oacute;mo la investigaci&oacute;n b&aacute;sica en qu&iacute;mica puede transformarse en innovaci&oacute;n con impacto real en la salud de las personas.
    </p><p class="article-text">
        El proyecto ha contado con financiaci&oacute;n del Ministerio de Ciencia e Innovaci&oacute;n y la Agencia Estatal de Investigaci&oacute;n, a trav&eacute;s del proyecto PDC2022-133376-I00, en el marco del Plan de Recuperaci&oacute;n, Transformaci&oacute;n y Resiliencia y financiado por la Uni&oacute;n Europea &ndash; NextGenerationEU.
    </p><figure class="embed-container embed-container--type-embed ">
    
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">
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      <dc:creator><![CDATA[ElDiarioAragón]]></dc:creator>
      <guid isPermaLink="true"><![CDATA[https://www.eldiario.es/aragon/sociedad/investigadores-aragoneses-impulsan-nueva-via-cancer-patente-basada-compuestos-cobre_1_12996514.html]]></guid>
      <pubDate><![CDATA[Tue, 17 Feb 2026 09:10:20 +0000]]></pubDate>
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      <media:title><![CDATA[Investigadores aragoneses impulsan una nueva vía contra el cáncer con una patente basada en compuestos de cobre]]></media:title>
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      <media:keywords><![CDATA[Universidad de Zaragoza,Investigación científica,Cáncer]]></media:keywords>
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    <item>
      <title><![CDATA[Azcón (PP) anuncia matrículas gratuitas en la Universidad de Zaragoza, de las que se beneficiarían 5.600 alumnos]]></title>
      <link><![CDATA[https://www.eldiario.es/aragon/politica/azcon-pp-anuncia-matriculas-gratuitas-universidad-zaragoza-beneficiarian-5-600-alumnos_1_12933179.html]]></link>
      <description><![CDATA[<p><img src="https://static.eldiario.es/clip/dc8f371c-c11d-4552-8388-e10d245ebc63_16-9-discover-aspect-ratio_default_0.jpg" width="1200" height="675" alt="Azcón (PP) anuncia matrículas gratuitas en la Universidad de Zaragoza, de las que se beneficiarían 5.600 alumnos"></p><div class="subtitles"><p class="subtitle">El candidato del PP cree que Alegría "se avergüenza del logotipo del Partido Socialista" al no aparecer en su cartel de campaña</p></div><p class="article-text">
        El candidato del PP a la Presidencia del Gobierno de Arag&oacute;n, Jorge Azc&oacute;n, ha propuesto para la pr&oacute;xima legislatura impulsar la matr&iacute;cula gratuita para todos aquellos j&oacute;venes que quieran empezar sus estudios en la Universidad de Zaragoza, con el objetivo de &ldquo;que las limitaciones econ&oacute;micas no sean un impedimento para poder estudiar en la Universidad de Zaragoza&rdquo;. El primer a&ntilde;o se beneficiar&aacute;n unos 5.600 alumnos de esta medida y cerca de 7.000 en los cursos siguientes.
    </p><p class="article-text">
        Azc&oacute;n, ha ofrecido este s&aacute;bado una rueda prensa en Zaragoza, frente al campus de San Francisco. &ldquo;No solamente queremos que todos los j&oacute;venes que empiecen la carrera no tengan que pagar tasas universitarias y que la matr&iacute;cula sea gratuita, sino que esas matr&iacute;culas gratuitas se vayan impulsando en los pr&oacute;ximos a&ntilde;os a aquellos j&oacute;venes que se esfuercen, que acrediten el estudio y que acrediten los resultados&rdquo;.
    </p><p class="article-text">
        El objetivo, ha continuado diciendo, es que &ldquo;el primer a&ntilde;o que cualquier chico o chica empiece en la Universidad de Zaragoza la matr&iacute;cula sea gratuita, pero que en los siguientes a&ntilde;os contin&uacute;e siendo gratuita si acredita que ha estudiado, que ha cumplido con los m&eacute;ritos, con la excelencia, con el trabajo y con el sacrificio que significa estar en la Universidad&rdquo;. Ha incidido en que &ldquo;esta es una propuesta que gira en torno a la igualdad de oportunidades&rdquo;.
    </p><p class="article-text">
        Jorge Azc&oacute;n ha expuesto que &ldquo;las dificultades econ&oacute;micas no pueden ser un impedimento para que nuestra juventud tenga oportunidades de futuro. Este es el camino que estamos llevando durante estos 30 meses de gobierno que hemos tenido el orgullo de dirigir durante esta legislatura&rdquo;.
    </p><p class="article-text">
        La matr&iacute;cula gratuita beneficiar&aacute; el primer a&ntilde;o unos 5.600 j&oacute;venes aragoneses que aprueben la Prueba de Acceso a la Universidad (PAU) en esta comunidad aut&oacute;noma. &ldquo;Aproximadamente una matr&iacute;cula cuesta unos 1.000 euros, aunque depende de las distintas carreras que se quieran cursar. Si 5.600 alumnos entran a la universidad cada a&ntilde;o, el primer a&ntilde;o significar&iacute;a una inversi&oacute;n de 5.600.000 euros que seguir&iacute;a incrementando conforme vayamos ampliando a los siguientes cursos&rdquo;.
    </p><p class="article-text">
        El candidato a la reelecci&oacute;n ha resaltado que &ldquo;la universidad ha formado una parte esencial de las pol&iacute;ticas de nuestro gobierno, es un motor de desarrollo b&aacute;sico del futuro de los aragoneses. En estos 30 meses hemos creado 257 plazas universitarias nuevas. Y lo hemos hecho no solamente manteniendo todas las titulaciones que tiene la universidad, sino impulsando titulaciones en tecnolog&iacute;a y en sanidad. Las 257 plazas que se han creado en la Universidad de Zaragoza, tienen que ver con lo que necesita Arag&oacute;n y con lo que queremos que sea Arag&oacute;n, un Arag&oacute;n m&aacute;s tecnol&oacute;gico, pero tambi&eacute;n un Arag&oacute;n que cuide mejor de sus gentes&rdquo;.
    </p><p class="article-text">
        Azc&oacute;n ha detallado que &ldquo;estas plazas que hemos incrementado en la universidad han girado en torno a la ingenier&iacute;a inform&aacute;tica, a las matem&aacute;ticas, a la f&iacute;sica o a la ingenier&iacute;a biom&eacute;dica. En el caso de la ingenier&iacute;a inform&aacute;tica, hemos aumentado en m&aacute;s de 100 plazas las que la Universidad de Zaragoza ofrece en sus distintos campos&rdquo;.
    </p><p class="article-text">
        Ha agregado que adem&aacute;s se ha realizado un especial esfuerzo en las plazas de medicina. &ldquo;La verdad es que Arag&oacute;n necesita m&aacute;s m&eacute;dicos, necesitamos que los miles de chicos y chicas que cada a&ntilde;o quieren estudiar medicina y se quedan fuera de la universidad porque no tienen plazas suficientes puedan estudiar, efectivamente, medicina. Por eso hemos incrementado hasta 265 plazas el n&uacute;mero de plazas que ofrece Zaragoza&rdquo;.
    </p><h2 class="article-text">410 alumnos en Teruel</h2><p class="article-text">
        El a&ntilde;o que viene, en la ciudad de Teruel, podr&aacute; empezarse a estudiar la carrera de medicina. &ldquo;Recuerdo cuando en la anterior campa&ntilde;a electoral dijimos que tambi&eacute;n los j&oacute;venes turolenses ten&iacute;an que tener la oportunidad de estudiar medicina. El Partido Socialista nos critic&oacute; diciendo que aquello era imposible&rdquo;. As&iacute;, el curso pr&oacute;ximo empezar&aacute;n sus estudios universitarios relacionados con la medicina 410 alumnos y alumnas. &ldquo;Un salto hist&oacute;rico del que nos tenemos que sentir extraordinariamente orgullosos&rdquo;.
    </p><p class="article-text">
        Jorge Azc&oacute;n ha rese&ntilde;ado que &ldquo;hoy, en la Universidad de Zaragoza, en sus campus de Zaragoza, de Huesca, de Teruel y de la Almunia, hay titulaciones que se ven&iacute;an estudiando, que se siguen estudiando exactamente con la misma calidad, pero el gran cambio que ha habido es una direcci&oacute;n, impulsada por el Gobierno de Arag&oacute;n, porque queremos un Arag&oacute;n con futuro, un Arag&oacute;n m&aacute;s tecnol&oacute;gico, un Arag&oacute;n que pueda dar oportunidades a esos j&oacute;venes en las empresas tecnol&oacute;gicas que est&aacute;n viniendo a nuestra comunidad y, sobre todo, queremos un Arag&oacute;n que cuide m&aacute;s a las personas&rdquo;.
    </p><p class="article-text">
        El candidato del PP ha reiterado que &ldquo;si hay algo que necesitamos especialmente son sanitarios, la sanidad no tenga plazas que se nos queden sin cubrir porque no somos capaces de encontrar a los m&eacute;dicos&rdquo;.
    </p><p class="article-text">
        Por todo ello, &ldquo;pensando en los j&oacute;venes, pero tambi&eacute;n en los aragoneses es absolutamente necesario que sigamos impulsando la Universidad de Zaragoza en sus distintos campus y que sigamos pensando en las plazas que m&aacute;s demanda el mercado y que m&aacute;s oportunidades van a tener porque son en las que hay que incrementar el n&uacute;mero de titulaciones&rdquo;.
    </p><h2 class="article-text"><strong>Cartel de Pilar Alegr&iacute;a</strong></h2><p class="article-text">
        Azc&oacute;n ha hecho referencia a la retirada del logo del PSOE de un cartel de la candidata Pilar Alegr&iacute;a en sus redes sociales. &ldquo;Ayer por la tarde no sal&iacute;amos del asombro cuando ve&iacute;amos que el cartel de la candidata del Partido Socialista hab&iacute;a eliminado el logo del Partido Socialista. Si Pilar Alegr&iacute;a se averg&uuml;enza del logotipo del Partido Socialista, que se lo explique a los aragoneses&rdquo;.
    </p><p class="article-text">
        Se ha preguntado: &ldquo;&iquest;Qu&eacute; ha hecho el Partido Socialista para que ahora ella quiera dar una imagen distinta del sanchismo, del cual ella ha sido portavoz y de lo que ha sido y est&aacute; siendo el Partido Socialista gestionando en el Gobierno de Espa&ntilde;a? Creo que es absolutamente indicativo&rdquo;.
    </p><p class="article-text">
        Azc&oacute;n ha insistido en que &ldquo;si Pilar Alegr&iacute;a, elimina el logotipo del PSOE de sus carteles electorales, si se averg&uuml;enza de lo que significa el socialismo en Arag&oacute;n y en Espa&ntilde;a, creo que hoy deber&iacute;a dar respuesta, deber&iacute;a explicar por qu&eacute; se averg&uuml;enza de ese logotipo que es el que van a votar los aragoneses el pr&oacute;ximo 8 de febrero&rdquo;.
    </p><p class="article-text">
        El cartel al que se ha referido refiere el l&iacute;der 'popular' aparece en un mensaje publicado por Alegr&iacute;a en la red social 'X', donde dice que quiere compartir &ldquo;una imagen diferente&rdquo; en el comienzo de la campa&ntilde;a electoral. Se trata de una fotograf&iacute;a de la candidata socialista en la que aparecen tres colores --morado, rojo y amarilo--, acompa&ntilde;ado del esl&oacute;gan 'Por Arag&oacute;n'.
    </p>]]></description>
      <dc:creator><![CDATA[ElDiarioAragón]]></dc:creator>
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      <pubDate><![CDATA[Sat, 24 Jan 2026 17:32:09 +0000]]></pubDate>
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      <media:title><![CDATA[Azcón (PP) anuncia matrículas gratuitas en la Universidad de Zaragoza, de las que se beneficiarían 5.600 alumnos]]></media:title>
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      <media:keywords><![CDATA[Elecciones Aragón,Gobierno de Aragón,Jorge Azcón,Pilar Alegría,Universidad de Zaragoza]]></media:keywords>
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    <item>
      <title><![CDATA[Investigadores de Zaragoza desarrollan un modelo que vincula la viralidad en redes sociales con polarización ideológica]]></title>
      <link><![CDATA[https://www.eldiario.es/aragon/sociedad/investigadores-zaragoza-desarrollan-modelo-vincula-viralidad-redes-sociales-polarizacion-ideologica_1_12927519.html]]></link>
      <description><![CDATA[<p><img src="https://static.eldiario.es/clip/8fff1040-6851-4618-a0e2-d3dc62731523_16-9-discover-aspect-ratio_default_0.jpg" width="1200" height="675" alt="Investigadores de Zaragoza desarrollan un modelo que vincula la viralidad en redes sociales con polarización ideológica"></p><div class="subtitles"><p class="subtitle">Profesionales del Instituto de Biocomputación y Física de Sistemas Complejos (BIFI, Unizar) han liderado este trabajo internacional, que publica la prestigiosa revista PNAS Nexus 
</p></div><p class="article-text">
        Un estudio internacional liderado por investigadores de la Universidad de Zaragoza ha desarrollado&nbsp;un nuevo modelo que permite entender por qu&eacute; las redes sociales favorecen la formaci&oacute;n de grupos o entornos cada vez m&aacute;s polarizados. En dicho trabajo, coordinado por el profesor&nbsp;Yamir Moreno, director del Instituto BIFI&nbsp;y miembro del Departamento de F&iacute;sica Te&oacute;rica, han participado tambi&eacute;n los investigadores Henrique Ferraz de Arruda, de la Fundaci&oacute;n ARAID y miembro del BIFI, y Kleber Andrade Oliveira de la Universidad de Limerick, Irlanda.&nbsp;
    </p><p class="article-text">
        El trabajo, titulado&nbsp;&ldquo;Mechanistic Interplay between Information Spreading and Opinion Polarization&rdquo;&nbsp;y publicado en la prestigiosa revista&nbsp;PNAS Nexus, muestra que&nbsp;la forma en que circula la informaci&oacute;n en las plataformas digitales est&aacute; estrechamente vinculada a la manera en que las personas adoptan y refuerzan sus opiniones. Al modelar mecanismos como&nbsp;el reenv&iacute;o, la memoria limitada del usuario y la reconfiguraci&oacute;n adaptativa de la conexi&oacute;n, la investigaci&oacute;n revela c&oacute;mo diferentes comportamientos y caracter&iacute;sticas de la plataforma pueden dar lugar a diversos fen&oacute;menos sociales como&nbsp;la polarizaci&oacute;n y las c&aacute;maras de eco,&nbsp;a trav&eacute;s de la adaptaci&oacute;n de algoritmos y la elecci&oacute;n de informaci&oacute;n sesgada.
    </p><p class="article-text">
        A diferencia de estudios anteriores que analizaban &uacute;nicamente la difusi&oacute;n de informaci&oacute;n y la polarizaci&oacute;n por separado, este trabajo estudia ambos procesos de manera conjunta.&nbsp;En este contexto, los investigadores han desarrollado un modelo computacional que simula el comportamiento de los usuarios en redes sociales:&nbsp;c&oacute;mo publican sus mensajes, c&oacute;mo comparten contenidos ya existentes y c&oacute;mo su atenci&oacute;n es limitada, es decir,&nbsp;no pueden ver ni procesar toda la informaci&oacute;n que circula.
    </p><p class="article-text">
        Uno de los aspectos m&aacute;s novedosos del estudio es mostrar que&nbsp;peque&ntilde;os cambios en el funcionamiento de una red social pueden tener consecuencias significativas. Por ejemplo, cuando aparecen o se muestran pocos mensajes nuevos y los usuarios reutilizan una y otra vez los mismos contenidos,&nbsp;unas pocas ideas terminan imponi&eacute;ndose y dominando la conversaci&oacute;n. Esto hace que las personas se expongan siempre a los mismos puntos de vista, reforzando sus creencias, segmentando audiencias y aumentando la polarizaci&oacute;n.
    </p><p class="article-text">
        El trabajo tambi&eacute;n pone de relieve el papel de los&nbsp;algoritmos de recomendaci&oacute;n, que deciden qu&eacute; contenidos ve cada usuario. Seg&uacute;n el modelo,&nbsp;ligeras variaciones en estos algoritmos pueden marcar la diferencia entre un debate diverso, en el que conviven distintas opiniones, y un escenario dividido en &ldquo;burbujas de informaci&oacute;n&rdquo;, donde cada grupo solo recibe informaci&oacute;n af&iacute;n a sus ideas.
    </p><p class="article-text">
        Para comprobar que el modelo era capaz de reflejar situaciones reales,&nbsp;los investigadores lo ajustaron utilizando datos provenientes de debates muy polarizados, como la campa&ntilde;a del Brexit o la vacunaci&oacute;n. Como resultado, el modelo no s&oacute;lo fue capaz de reproducir c&oacute;mo se hacen virales los mensajes en estos casos, sino que tambi&eacute;n gener&oacute; niveles de polarizaci&oacute;n similares a los observados en la realidad. Esto sugiere que&nbsp;la viralidad y la polarizaci&oacute;n no son fen&oacute;menos independientes, sino dos caras del mismo proceso.&nbsp;
    </p><p class="article-text">
        Seg&uacute;n los autores, estos resultados abren la puerta a pensar en&nbsp;intervenciones sencillas, pero efectivas&nbsp;como fomentar una mayor diversidad de contenidos,&nbsp;mejorar el dise&ntilde;o de los algoritmos de las plataformas de redes sociales o reconsiderar c&oacute;mo se priorizan y recomiendan los mensajes (especialmente los m&aacute;s antiguos)&nbsp;con el&nbsp;objetivo de reducir la polarizaci&oacute;n y favorecer un debate p&uacute;blico m&aacute;s sano en el entorno digital. El estudio se enmarca en una l&iacute;nea de investigaci&oacute;n del grupo COSNET del Instituto BIFI que se centra en comprender y abordar diferentes retos sociales asociados a la desinformaci&oacute;n y la polarizaci&oacute;n en la era digital.
    </p>]]></description>
      <dc:creator><![CDATA[ElDiarioAragón]]></dc:creator>
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      <pubDate><![CDATA[Thu, 22 Jan 2026 13:56:45 +0000]]></pubDate>
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      <media:title><![CDATA[Investigadores de Zaragoza desarrollan un modelo que vincula la viralidad en redes sociales con polarización ideológica]]></media:title>
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      <media:keywords><![CDATA[Redes sociales,Polarización,Universidad de Zaragoza]]></media:keywords>
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    <item>
      <title><![CDATA[Investigadores aragoneses del INMA desarrollan un sensor portátil capaz de detectar la salmonella en una hora]]></title>
      <link><![CDATA[https://www.eldiario.es/aragon/sociedad/investigadores-aragoneses-inma-desarrollan-sensor-portatil-capaz-detectar-salmonella-hora_1_12920814.html]]></link>
      <description><![CDATA[<p><img src="https://static.eldiario.es/clip/91ef8a2a-c1b0-4a59-b389-2568209cc77d_16-9-discover-aspect-ratio_default_0_x1036y2057.jpg" width="1200" height="675" alt="Investigadores aragoneses del INMA desarrollan un sensor portátil capaz de detectar la salmonella en una hora"></p><div class="subtitles"><p class="subtitle">El estudio, que utiliza cristales líquidos que ‘se encienden’ cuando detectan un patógeno, abre la puerta a encontrar soluciones efectivas y exprés para evitar brotes</p><p class="subtitle">Águeda Sáenz Martínez, investigadora del CSIC en el INMA: “El patrimonio es el gran olvidado de las políticas públicas”</p></div><p class="article-text">
        Un equipo de investigadores del INMA, instituto mixto del Consejo Superior de Investigaciones Cient&iacute;ficas CSIC y la Universidad de Zaragoza, ha desarrollado un nuevo tipo de biosensor capaz de detectar pat&oacute;genos de forma r&aacute;pida y sencilla utilizando cristales l&iacute;quidos, unos materiales muy conocidos por su uso en pantallas, pero con propiedades sorprendentes m&aacute;s all&aacute; de la electr&oacute;nica. 
    </p><p class="article-text">
        El estudio ha sido publicado en la prestigiosa revista Journal of the American Chemical Society, una de las publicaciones cient&iacute;ficas de mayor impacto internacional en Qu&iacute;mica. La investigaci&oacute;n ha estado liderada por el investigador &lsquo;Ram&oacute;n y Cajal&rsquo; Alberto Concell&oacute;n Allueva, con la participaci&oacute;n del investigador predoctoral Mauricio Vera Ar&eacute;valo, ambos de la Universidad de Zaragoza e integrantes del grupo CLIP (Cristales L&iacute;quidos y Pol&iacute;meros) del INMA.
    </p><p class="article-text">
        Las enfermedades transmitidas por alimentos siguen siendo un problema importante de salud p&uacute;blica. Bacterias como la Salmonella o la Listeria, que pueden encontrarse en carne, aves, frutas o verduras, causan miles de infecciones cada a&ntilde;o. Detectarlas a tiempo es clave para evitar brotes, pero los m&eacute;todos actuales suelen ser lentos, complejos y requieren varios d&iacute;as de incubaci&oacute;n en el laboratorio.
    </p><p class="article-text">
        La clave de este nuevo avance est&aacute; en el sistema de detecci&oacute;n que se ha desarrollado para dar con los pat&oacute;genos y que est&aacute; basado en los cristales l&iacute;quidos, materiales extremadamente sensibles a lo que ocurre en su interfase con el agua. Para comprender el hallazgo hay que saber primero que cuando estos entran en contacto con determinadas mol&eacute;culas o microorganismos, su organizaci&oacute;n interna cambia. Hasta ahora, estos cambios solo pod&iacute;an observarse con microscopios especiales y personal experto, lo que dificultaba su uso fuera del laboratorio.
    </p><p class="article-text">
        Sin embargo, el trabajo publicado en el Journal of the American Chemical Society propone una alternativa: convertir los cambios en el orden molecular del cristal l&iacute;quido en se&ntilde;ales de luz fluorescentes directamente cuantificables y, por tanto, f&aacute;ciles de medir. Para ello, los investigadores del grupo CLIP han creado peque&ntilde;as gotas de cristal l&iacute;quido dise&ntilde;adas para reconocer espec&iacute;ficamente a un pat&oacute;geno. Cuando la bacteria est&aacute; presente, altera la estructura del cristal l&iacute;quido y hace que la gota &ldquo;se encienda&rdquo; o &ldquo;se apague&rdquo; en fluorescencia, un efecto que puede medirse con dispositivos port&aacute;tiles y compactos, como espectrofot&oacute;metros port&aacute;tiles.
    </p><p class="article-text">
        Gracias a este sistema, es posible detectar bacterias como Salmonella en aproximadamente una hora y con una sensibilidad muy alta, incluso cuando hay muy pocas c&eacute;lulas presentes. Adem&aacute;s, el m&eacute;todo es fiable, incluso en condiciones experimentales variables.
    </p><p class="article-text">
        Este avance abre la puerta a tests r&aacute;pidos, port&aacute;tiles y f&aacute;ciles de usar, que podr&iacute;an emplearse en plantas de procesado de alimentos, controles de calidad e incluso en el &aacute;mbito dom&eacute;stico en el futuro. Adem&aacute;s, la tecnolog&iacute;a es flexible: modificando el sistema de reconocimiento, podr&iacute;a adaptarse para detectar otros pat&oacute;genos de inter&eacute;s sanitario.
    </p><h2 class="article-text">Centro de excelencia Severo Ochoa </h2><p class="article-text">
        El&nbsp;Instituto de Nanociencia y Materiales de Arag&oacute;n&nbsp;(INMA) ha sido el primero de nuestra Comunidad Aut&oacute;noma en obtener la&nbsp;acreditaci&oacute;n de excelencia Severo Ochoa, que concede la Agencia Estatal de Investigaci&oacute;n. Ese reconocimiento supone una financiaci&oacute;n de&nbsp;4,5 millones de euros&nbsp;y la dotaci&oacute;n de&nbsp;cinco contratos predoctorales&nbsp;para el periodo 2024-2028. 
    </p><p class="article-text">
        El INMA es un&nbsp;instituto mixto del&nbsp;CSIC y la Universidad de Zaragoza. Con alrededor de&nbsp;300 miembros, tiene m&aacute;s de 40 proyectos europeos en curso y una&nbsp;media anual de 300 publicaciones y 7 millones de euros&nbsp;obtenidos en programas p&uacute;blicos competitivos. Adem&aacute;s, trabaja en colaboraci&oacute;n con la industria, logrando en torno a un mill&oacute;n de euros anuales por contratos y royalties
    </p>]]></description>
      <dc:creator><![CDATA[ElDiarioAragón]]></dc:creator>
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      <pubDate><![CDATA[Tue, 20 Jan 2026 10:24:58 +0000]]></pubDate>
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      <media:keywords><![CDATA[Investigación,Universidad de Zaragoza,Alimentos]]></media:keywords>
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    <item>
      <title><![CDATA[La rectora de la Universidad de Zaragoza asume la presidencia del G9 de Universidades el primer semestre de 2026]]></title>
      <link><![CDATA[https://www.eldiario.es/aragon/sociedad/rectora-universidad-zaragoza-asume-presidencia-g9-universidades-primer-semestre-2026_1_12913969.html]]></link>
      <description><![CDATA[<p><img src="https://static.eldiario.es/clip/a1b33795-3329-4e24-a85a-a87c58b82cfa_16-9-discover-aspect-ratio_default_0.jpg" width="1200" height="675" alt="La rectora de la Universidad de Zaragoza asume la presidencia del G9 de Universidades el primer semestre de 2026"></p><div class="subtitles"><p class="subtitle">Rosa Bolea toma el relevo del rector de la Universidad del País Vasco, Joxerramon Bengoetxea

</p></div><p class="article-text">
        La rectora de la Universidad de Zaragoza, Rosa Bolea, ha asumido la presidencia semestral del Grupo 9 de Universidades (G-9) en la Asamblea General de Rectoras y Rectores que se ha celebrado este viernes en el Paraninfo de la Universidad de Zaragoza.
    </p><p class="article-text">
        El relevo se ha realizado tras la gesti&oacute;n del rector de la Universidad del Pa&iacute;s Vasco/Euskal Herriko Unibertsitatea (EHU), Joxerramon Bengoetxea, que ha estado al frente durante los &uacute;ltimos seis meses de 2025. De esta forma, se cumple con los estatutos de la Asociaci&oacute;n Grupo 9 de Universidades que establecen &ldquo;una presidencia rotatoria&rdquo;.
    </p><p class="article-text">
        El encuentro de rectoras y rectores del G9 ha continuado con la adhesi&oacute;n al Campus Digital Compartido (CDC) por parte de la Universidad de Ja&eacute;n y de la Universidad de C&aacute;diz.
    </p><p class="article-text">
        Uno de los avances m&aacute;s significativos de esta plataforma es la implementaci&oacute;n del sistema de federaci&oacute;n de identidades, un elemento clave para garantizar un acceso unificado, seguro y transparente de los diferentes colectivos. Este sistema se apoya en el entorno SIR de RedIRIS y ya cuenta con un primer piloto en explotaci&oacute;n real con resultados muy satisfactorios.
    </p><p class="article-text">
        A lo largo de 2026, todos los accesos al Campus Digital Compartido de las 14 universidades que lo utilizan quedar&aacute;n consolidados a trav&eacute;s de este entorno SIR.
    </p><p class="article-text">
        Adem&aacute;s, el Campus Digital Compartido ha incrementado de forma notable su capacidad para atender la demanda formativa. La oferta se ha ampliado en un 25 % sobre la demanda no cubierta, gracias a la implantaci&oacute;n de una decena de nuevos cursos.
    </p><p class="article-text">
        Junto a estos avances, el proyecto avanza tambi&eacute;n en su dimensi&oacute;n estrat&eacute;gica, ya que se ha creado un grupo de trabajo espec&iacute;fico para el dise&ntilde;o de microcredenciales conjuntas entre las universidades del G-9.
    </p><p class="article-text">
        Esta l&iacute;nea de trabajo permitir&aacute; explorar nuevos modelos de formaci&oacute;n flexible, modular y reconocida entre instituciones, alineados con las tendencias europeas de aprendizaje a lo largo de la vida y educaci&oacute;n superior digital.
    </p><p class="article-text">
        Asimismo, el Campus Digital Compartido est&aacute; trabajando en el primer piloto de infraestructura propia para el uso de modelos de inteligencia artificial 'open source', que permitir&aacute; a las universidades del G-9 experimentar y desarrollar servicios basados en IA generativa y anal&iacute;tica avanzada en entornos controlados, soberanos y alineados con los principios de protecci&oacute;n de datos, independencia tecnol&oacute;gica y reutilizaci&oacute;n del conocimiento.
    </p><h2 class="article-text">Premio de investigaci&oacute;n en estudios de g&eacute;nero</h2><p class="article-text">
        Por otro lado, se han presentado 67 trabajos procedentes de 14 universidades p&uacute;blicas al Premio de Investigaci&oacute;n en Estudios de G&eacute;nero, con un r&eacute;cord de participaci&oacute;n.
    </p><p class="article-text">
        Olubukola Oyedeji, estudiante de M&aacute;ster en Estudios de la Mujer y G&eacute;nero de la Universidad de Oviedo, se ha alzado con el galard&oacute;n en la categor&iacute;a de Mejor TFM por 'Master of Arts: Normalised Modes of Harm and Mistreatment of Women in Childbirth Settings in Lagos State, Nigeria'.
    </p><p class="article-text">
        En la categor&iacute;a de Mejor TFG ha obtenido el galard&oacute;n Mar&iacute;a L&oacute;pez Morales, graduada en Educaci&oacute;n Social por la Universidad del Pa&iacute;s Vasco, por 'La violencia sexual en espacios de ocio nocturno: Una propuesta de intervenci&oacute;n socioeducativa'.
    </p><p class="article-text">
        En la sesi&oacute;n de este viernes se han dado a conocer tambi&eacute;n los avances para la organizaci&oacute;n del Meeting Deportivo G9 de 2026, que se pretende que pase de ser un evento aislado a una cita anual emblem&aacute;tica, que fortalezca la identidad del G9 y que se convierta en una experiencia formativa y vital inolvidable para cada generaci&oacute;n de estudiantes.
    </p><p class="article-text">
        De igual forma, se han adelantado algunos de los pasos que se est&aacute;n dando para optar a la organizaci&oacute;n de los Campeonatos de Espa&ntilde;a Universitarios (CEU) 2027.
    </p><p class="article-text">
        El Consejo Superior de Deportes convocar&aacute; la presentaci&oacute;n de proyectos en noviembre de 2026 y el G9 presentar&aacute; una candidatura conjunta. El objetivo es afianzar la marca a nivel nacional, demostrar la capacidad de gesti&oacute;n y generar actividad econ&oacute;mica y social en las comunidades aut&oacute;nomas en las que est&aacute;n ubicadas las universidades del G9.
    </p><p class="article-text">
        El Grupo 9 de Universidades (G-9) es una asociaci&oacute;n, creada en 1997, conformada por las universidades que son las &uacute;nicas universidades p&uacute;blicas en sus respectivas comunidades aut&oacute;nomas: Universidad de Cantabria, Universidad de Castilla-La Mancha, Universidad de Extremadura, Universitat de les Illes Balears, Universidad de La Rioja, Universidad de Oviedo, Universidad del Pa&iacute;s Vasco/Euskal Herriko Unibertsitatea, Universidad P&uacute;blica de Navarra y Universidad de Zaragoza, adem&aacute;s de la Universidad de Murcia como entidad colaboradora y las Universidades de Burgos y La Laguna, que participan activamente en los planes de formaci&oacute;n del grupo.
    </p>]]></description>
      <dc:creator><![CDATA[ElDiarioAragón]]></dc:creator>
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      <pubDate><![CDATA[Fri, 16 Jan 2026 16:11:43 +0000]]></pubDate>
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      <media:title><![CDATA[La rectora de la Universidad de Zaragoza asume la presidencia del G9 de Universidades el primer semestre de 2026]]></media:title>
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    <item>
      <title><![CDATA[La Universidad de Zaragoza implantará el grado de Farmacia en Huesca en el curso 2027-2028]]></title>
      <link><![CDATA[https://www.eldiario.es/aragon/sociedad/universidad-zaragoza-implantara-grado-farmacia-huesca-curso-2027-2028_1_12849443.html]]></link>
      <description><![CDATA[<p><img src="https://static.eldiario.es/clip/70390daf-8c28-43ff-a2c8-e9eef5775aca_16-9-discover-aspect-ratio_default_0.jpg" width="1200" height="675" alt="La Universidad de Zaragoza implantará el grado de Farmacia en Huesca en el curso 2027-2028"></p><div class="subtitles"><p class="subtitle">La titulación se impartirá en la Escuela Politécnica Superior de Huesca y contará con unas 50 plazas para alumnos de nuevo ingreso</p></div><p class="article-text">
        El presidente del Gobierno de Arag&oacute;n, Jorge Azc&oacute;n, ha anunciado este martes, junto a la rectora de la Universidad de Zaragoza, Rosa Bolea; la consejera de Empleo, Ciencia y Universidades, Claudia P&eacute;rez; y la alcaldesa de Huesca, Lorena Orduna; la implantaci&oacute;n del grado de Farmacia en la capital oscense a partir del curso 2027-2028.
    </p><p class="article-text">
        La titulaci&oacute;n se impartir&aacute; en la Escuela Polit&eacute;cnica Superior de Huesca y contar&aacute; con unas 50 plazas para alumnos de nuevo ingreso. A lo largo de las pr&oacute;ximas semanas se crear&aacute; una Comisi&oacute;n de Trabajo en la Universidad de Zaragoza con la que arrancar&aacute; el proceso administrativo para implantar el Grado de Farmacia en Huesca. La titulaci&oacute;n reforzar&aacute; la oferta de un campus que ya cuenta con 3.000 alumnos y con 11 grados.
    </p><p class="article-text">
        &ldquo;El impulso a un campus como el de Huesca dinamiza el desarrollo social y econ&oacute;mico, crea empleo y fija poblaci&oacute;n al atraer m&aacute;s alumnos brillantes y profesores a esta ciudad y a esta provincia&rdquo;, ha se&ntilde;alado el jefe del Ejecutivo auton&oacute;mico en una visita a la Escuela Polit&eacute;cnica.
    </p><p class="article-text">
        Con la implantaci&oacute;n de Farmacia, &ldquo;el Gobierno de Arag&oacute;n da respuesta a una reivindicaci&oacute;n hist&oacute;rica de la Universidad p&uacute;blica de Arag&oacute;n, que no ten&iacute;a este grado en su oferta acad&eacute;mica, y satisface una demanda de Huesca, que ven&iacute;a reclamando la titulaci&oacute;n desde hace ya mucho tiempo&rdquo;.
    </p><p class="article-text">
        Azc&oacute;n ha subrayado que &ldquo;uno de los empe&ntilde;os del Gobierno de Arag&oacute;n durante esta legislatura ha sido impulsar nuevas titulaciones y ampliar las plazas de nuevo ingreso en aquellos grados con m&aacute;s demanda entre los estudiantes&rdquo;. En concreto, en estos dos &uacute;ltimos cursos se han creado 257 plazas solo en la Universidad de Zaragoza, destacando 100 nuevas plazas en Ingenier&iacute;a Inform&aacute;tica, 60 en Ingenier&iacute;a Biom&eacute;dica, 40 en Matem&aacute;ticas o 20 en Medicina.
    </p><p class="article-text">
        Adem&aacute;s, los alumnos que comenzaron el Grado de Medicina en el curso 2024-2025 podr&aacute;n completarlo &iacute;ntegramente sin salir de Huesca, en la Antigua Residencia de Ni&ntilde;os, que sigue con sus obras de adecuaci&oacute;n para ofrecer unas instalaciones punteras y de vanguardia a los estudiantes.
    </p><p class="article-text">
        El presidente ha querido recordar &ldquo;que este Gobierno trabaja en la implantaci&oacute;n del Grado de Medicina en Teruel, lo que nos ayudar&aacute; a paliar la falta de m&eacute;dicos y, del mismo modo que la titulaci&oacute;n de Farmacia en Huesca, favorecer&aacute; la vertebraci&oacute;n del territorio&rdquo;.
    </p><p class="article-text">
        Por su parte, la rectora de la Universidad de Zaragoza ha tildado el d&iacute;a de &ldquo;hist&oacute;rico&rdquo;, pues la implantaci&oacute;n de la titulaci&oacute;n permitir&aacute; satisfacer una aspiraci&oacute;n de la instituci&oacute;n que &ldquo;viene de lejos&rdquo;. &ldquo;Las primeras conversaciones se iniciaron en el mes de mayo. Este anuncio es posible gracias a la sincronizaci&oacute;n y el apoyo del Gobierno de Arag&oacute;n&rdquo;, ha reconocido Rosa Bolea.
    </p>]]></description>
      <dc:creator><![CDATA[Europa Press, ElDiarioAragón]]></dc:creator>
      <guid isPermaLink="true"><![CDATA[https://www.eldiario.es/aragon/sociedad/universidad-zaragoza-implantara-grado-farmacia-huesca-curso-2027-2028_1_12849443.html]]></guid>
      <pubDate><![CDATA[Tue, 16 Dec 2025 12:09:04 +0000]]></pubDate>
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      <media:title><![CDATA[La Universidad de Zaragoza implantará el grado de Farmacia en Huesca en el curso 2027-2028]]></media:title>
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      <media:keywords><![CDATA[Universidad de Zaragoza,Farmacias]]></media:keywords>
    </item>
    <item>
      <title><![CDATA[Cuatro investigadores de la Universidad de Zaragoza, entre los más citados del mundo, según el Highly Cited Researchers]]></title>
      <link><![CDATA[https://www.eldiario.es/aragon/sociedad/cuatro-investigadores-universidad-zaragoza-citados-mundo-highly-cited-researchers_1_12776559.html]]></link>
      <description><![CDATA[<p><img src="https://static.eldiario.es/clip/2089aa9d-bca3-4509-a71e-ca25c6926ea6_16-9-discover-aspect-ratio_default_1130617.jpg" width="1815" height="1021" alt="Cuatro investigadores de la Universidad de Zaragoza, entre los más citados del mundo, según el Highly Cited Researchers"></p><div class="subtitles"><p class="subtitle">Carlos Flavián Blanco, Luis Vicente Casaló Ariño, Daniel Belanche Gracia y Sergio Ibáñez Sánchez son miembros del grupo de investigación METODO</p></div><p class="article-text">
        Carlos Flavi&aacute;n Blanco, Luis Vicente Casal&oacute; Ari&ntilde;o, Daniel Belanche Gracia y Sergio Ib&aacute;&ntilde;ez S&aacute;nchez, miembros del grupo de investigaci&oacute;n METODO y profesores del Departamento de Direcci&oacute;n de Marketing e Investigaci&oacute;n de Mercados de la Universidad de Zaragoza en la Facultad de Econom&iacute;a y Empresa, han sido reconocidos como autores altamente citados (Highly Cited Researchers) por Clarivate, la entidad responsable del Journal Citation Reports, JCR.
    </p><p class="article-text">
        En 2025, el reconocimiento que ya hab&iacute;a recibido el profesor Flavi&aacute;n en los dos a&ntilde;os previos se extiende a otros tres miembros del grupo METODO, situando as&iacute; a cuatro investigadores del grupo, y de la Universidad de Zaragoza, entre los Highly Cited Researchers.
    </p><p class="article-text">
        La lista Highly Cited Researcher, realizada a partir de los Essential Science Indicators (ESI), destaca a los investigadores que cuentan con un mayor n&uacute;mero de art&iacute;culos cient&iacute;ficos de alto impacto (1% de los m&aacute;s citados en su campo y a&ntilde;o en la Web of Science).
    </p><p class="article-text">
        El proceso de selecci&oacute;n es extremadamente riguroso e incluye el an&aacute;lisis de art&iacute;culos de alto impacto (Highly Cited Papers) publicados en revistas cient&iacute;ficas indexadas por Clarivate Analytics, que ha identificado a 6.868 investigadores altamente citados en todo el mundo en 22 campos de investigaci&oacute;n.
    </p><p class="article-text">
        De ellos, 94 se encuentran en Espa&ntilde;a y cuatro de ellos en la Universidad de Zaragoza. Adem&aacute;s, los profesores Flavi&aacute;n, Casal&oacute; y Belanche son los &uacute;nicos investigadores con vinculaci&oacute;n primaria a una instituci&oacute;n espa&ntilde;ola en el campo de Econom&iacute;a y Empresa, donde &uacute;nicamente se reconocen a 81 investigadores en todo el mundo.
    </p><h2 class="article-text"><strong>Investigadores</strong></h2><p class="article-text">
        En el caso del profesor Flavi&aacute;n, catedr&aacute;tico de universidad y miembro del I3A, el impacto de sus publicaciones es notable, con m&aacute;s de 42.000 citas en Google Scholar (H85), 20.000 en Scopus (H65) y 13.900 en Web of Science (H55). Su excelencia investigadora se refleja en 18 Highly Cited Papers, ubicados en el 1% de los m&aacute;s citados en WoS. Esta trayectoria de investigaci&oacute;n le ha hecho merecedor del prestigioso Premio ASTER de Investigaci&oacute;n empresarial, entre otras m&uacute;ltiples distinciones destacadas.
    </p><p class="article-text">
        En la actualidad, el profesor Flavi&aacute;n ejerce de investigador principal del grupo de investigaci&oacute;n METODO y ha actuado como editor invitado en una docena de n&uacute;meros especiales en algunas de las revistas de mayor impacto cient&iacute;fico en el &aacute;mbito de la econom&iacute;a y empresa sobre temas relacionados con el uso creciente de la inteligencia artificial, la realidad aumentada o la realidad virtual.
    </p><p class="article-text">
        Por su parte, el profesor Casal&oacute;, catedr&aacute;tico de universidad, cuenta con casi 22.000 citas en Google Scholar (H61), m&aacute;s de 10.000 en Scopus (H51), m&aacute;s de 8.000 en Web of Science (H45), as&iacute; como 11 Highly Cited Papers.
    </p><p class="article-text">
        En la actualidad, ejerce de coinvestigador principal del grupo de investigaci&oacute;n METODO, subdirector de la Escuela de Doctorado de la Universidad de Zaragoza y coordinador de la l&iacute;nea sobre innovaci&oacute;n y sociedad digital en el Instituto Universitario de Investigaci&oacute;n IEDIS, y es miembro del grupo de monologuistas cient&iacute;ficos RISARCHERS.
    </p><p class="article-text">
        El profesor Belanche, catedr&aacute;tico de universidad y miembro del I3A, cuenta con m&aacute;s de 12.000 citas en Google Scholar (H44), 6.000 en Scopus (H38), 4.000 en Web of Science (H34) y 11 Highly Cited Papers.
    </p><p class="article-text">
        Lidera el proyecto de investigaci&oacute;n IASPEFEX sobre la adopci&oacute;n de la Inteligencia Artificial en los servicios p&uacute;blicos financiado por la agencia estatal de investigaci&oacute;n y ha coordinado o est&aacute; vinculado a m&uacute;ltiples iniciativas como la asociaci&oacute;n que promueve el voluntariado Universitarios con la Infancia, el grupo de Aprendizaje-Servicio SocialFECEM, o las charlas de profesionales Marketing Talks by Unizar.
    </p><p class="article-text">
        Por &uacute;ltimo, el profesor Ib&aacute;&ntilde;ez, profesor permanente laboral vinculado al IEDIS, cuenta con m&aacute;s de 8.500 citas en Google Scholar (H19), 4.000 en Scopus (H18), 3.000 en Web of Science (H18) y 6 Highly Cited Papers, siendo uno de los investigadores m&aacute;s j&oacute;venes en obtener este reconocimiento. Asimismo, es miembro de la Junta Directiva de la International Federation for IT and Travel &amp; Tourism (IFITT) y codirige un proyecto de innovaci&oacute;n docente centrado en la alfabetizaci&oacute;n digital cr&iacute;tica.
    </p><p class="article-text">
        Desde la Universidad de Zaragoza, la rectora, Rosa Bolea, ha destacado la relevancia del nuevo hito alcanzado por la instituci&oacute;n y el grupo METODO, que este a&ntilde;o cuenta con cuatro autores reconocidos como Highly Cited Researchers (HCR), entre ellos el catedr&aacute;tico Carlos Flavi&aacute;n, quien ya figuraba en ediciones anteriores.
    </p><p class="article-text">
        &ldquo;Este logro colectivo refuerza la visibilidad internacional de nuestra investigaci&oacute;n y constituye un avance estrat&eacute;gico para la Universidad de Zaragoza, dado que el n&uacute;mero de autores altamente citados representa el 20% de la puntuaci&oacute;n del &Iacute;ndice de Shanghai&rdquo;, ha indicado Bolea.
    </p><p class="article-text">
        Las estimaciones de la Universidad de Zaragoza apuntan que esta consolidaci&oacute;n de la excelencia investigadora permitir&aacute; ascender un centenar de puestos en dicho ranking, fortaleciendo la visibilidad, competitividad global, as&iacute; como la capacidad de atracci&oacute;n de talento y el impacto cient&iacute;fico y social de la instituci&oacute;n.
    </p><h2 class="article-text"><strong>IA colaborativa</strong></h2><p class="article-text">
        El grupo de investigaci&oacute;n M&Eacute;TODO de la Universidad de Zaragoza es un referente en el estudio de la Inteligencia Artificial (IA) como elemento transformador en los servicios, el marketing y la toma de decisiones de empresas y ciudadanos.
    </p><p class="article-text">
        Sus investigaciones recientes muestran que la cuesti&oacute;n clave ya no es la implantaci&oacute;n de la IA, sino c&oacute;mo dise&ntilde;arla para que complemente a las personas, mejore la calidad del servicio y preserve la confianza de clientes y empleados. Los trabajos del grupo, aplicados a contextos como las finanzas, el turismo o el comercio, analizan la colaboraci&oacute;n humano-m&aacute;quina.
    </p><p class="article-text">
        En lugar de plantear la IA como sustituto del empleo humano, se propone que act&uacute;e como un &ldquo;compa&ntilde;ero de equipo&rdquo; que asuma tareas anal&iacute;ticas o rutinarias, mientras que las personas aportan empat&iacute;a, criterio y creatividad. Este enfoque ayuda a las organizaciones a ganar eficiencia y competitividad, al tiempo que reduce los miedos relacionados con la p&eacute;rdida de empleo o de autonom&iacute;a.
    </p><p class="article-text">
        Una parte central de las l&iacute;neas de investigaci&oacute;n del grupo se centra en c&oacute;mo perciben los usuarios la inteligencia y la &ldquo;humanidad&rdquo; de los sistemas de IA, desde chatbots generativos hasta robots de servicio o robo-advisors financieros. Los resultados muestran que no basta con que la IA &ldquo;funcione bien&rdquo;.
    </p><p class="article-text">
        Para que aporte un alto valor de servicio, debe ser percibida como competente, pero tambi&eacute;n c&aacute;lida, cercana y capaz de generar una cierta presencia social automatizada. Cuando estos sistemas combinan capacidades anal&iacute;ticas avanzadas con comportamientos m&aacute;s humanos (lenguaje natural, respuestas emp&aacute;ticas, explicaciones claras), los clientes se sienten mejor atendidos, toman decisiones m&aacute;s informadas y muestran una mayor intenci&oacute;n de uso y lealtad hacia las empresas que los ofrecen.
    </p><p class="article-text">
        Estas conclusiones proporcionan a directivos y responsables de innovaci&oacute;n criterios concretos de dise&ntilde;o para implementar asistentes de voz, robots o chatbots generativos que realmente mejoren la experiencia del usuario, en lugar de limitarse a reducir costes.
    </p>]]></description>
      <dc:creator><![CDATA[ElDiarioAragón]]></dc:creator>
      <guid isPermaLink="true"><![CDATA[https://www.eldiario.es/aragon/sociedad/cuatro-investigadores-universidad-zaragoza-citados-mundo-highly-cited-researchers_1_12776559.html]]></guid>
      <pubDate><![CDATA[Tue, 18 Nov 2025 11:05:57 +0000]]></pubDate>
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      <media:title><![CDATA[Cuatro investigadores de la Universidad de Zaragoza, entre los más citados del mundo, según el Highly Cited Researchers]]></media:title>
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      <media:keywords><![CDATA[Universidad de Zaragoza,Investigación]]></media:keywords>
    </item>
    <item>
      <title><![CDATA[Investigadores de Unizar desarrollan una herramienta que usa la IA para mejorar el seguimiento del cáncer de próstata]]></title>
      <link><![CDATA[https://www.eldiario.es/aragon/sociedad/investigadores-unizar-desarrollan-herramienta-ia-mejorar-seguimiento-cancer-prostata_1_12736395.html]]></link>
      <description><![CDATA[<p><img src="https://static.eldiario.es/clip/9861b20e-354b-429a-b61b-6a1a20fcdd73_16-9-discover-aspect-ratio_default_0_x1292y758.jpg" width="1200" height="675" alt="Investigadores de Unizar desarrollan una herramienta que usa la IA para mejorar el seguimiento del cáncer de próstata"></p><div class="subtitles"><p class="subtitle">Gracias a este sistema, desarrollado por un equipo de investigación del Instituto de Investigación en Ingeniería de Aragón (I3A) de la Universidad de Zaragoza, se puede reconstruir de manera personalizada cómo evoluciona el tumor en cada paciente

</p><p class="subtitle">Javier Alcázar, paciente oncológico de próstata: “La virilidad es ser un tío sensible y aceptarte a ti mismo”
</p></div><p class="article-text">
        Un equipo de investigadores de la Universidad de Zaragoza (Unizar) ha desarrollado una innovadora herramienta digital que combina modelos f&iacute;sicos y t&eacute;cnicas de inteligencia artificial (IA) para mejorar el seguimiento del c&aacute;ncer de pr&oacute;stata, el tipo de tumor m&aacute;s frecuente en hombres. Los m&eacute;todos actuales para controlar el c&aacute;ncer de pr&oacute;stata se basan, principalmente, en medir los niveles de una sustancia llamada PSA en la sangre. Sin embargo, a menudo, no detectan si el tumor est&aacute; creciendo, ha informado la instituci&oacute;n acad&eacute;mica.
    </p><p class="article-text">
        Para mejorar esta situaci&oacute;n, un equipo de investigaci&oacute;n del Instituto de Investigaci&oacute;n en Ingenier&iacute;a de Arag&oacute;n (I3A) de la Universidad de Zaragoza ha desarrollado una herramienta inform&aacute;tica que permite reconstruir c&oacute;mo crece el tumor a lo largo del tiempo usando una resonancia magn&eacute;tica inicial y los datos del PSA.
    </p><p class="article-text">
        Esta herramienta combina modelos f&iacute;sicos, que representan el crecimiento del tumor y c&oacute;mo el PSA pasa del tumor a la sangre seg&uacute;n la vascularizaci&oacute;n de la pr&oacute;stata del paciente, con t&eacute;cnicas de inteligencia artificial que aprende a reproducir la din&aacute;mica de crecimiento del tumor para cada paciente.
    </p><p class="article-text">
        Gracias a esta combinaci&oacute;n, los investigadores pueden ajustar el crecimiento del tumor de forma personalizada para cada paciente, teniendo en cuenta tanto los an&aacute;lisis de sangre como otros factores del cuerpo representados en un modelo en 3D.
    </p><p class="article-text">
        Su trabajo ha sido publicado en la revista de Nature, NPJ Digital Medicine, en un art&iacute;culo cient&iacute;fico titulado 'Physics-informed machine learning digital twin for reconstructing prostate cancer tumor growth via PSA tests' --Gemelo digital de aprendizaje autom&aacute;tico con informaci&oacute;n f&iacute;sica para la reconstrucci&oacute;n del crecimiento tumoral del c&aacute;ncer de pr&oacute;stata mediante pruebas de PSA--, realizado por Daniel Camacho-G&oacute;mez, Carlos Borau, Jos&eacute; Manuel Garc&iacute;a-Aznar, Mar&iacute;a Jos&eacute; G&oacute;mez-Benito, Mark Girolami y Mar&iacute;a &Aacute;ngeles P&eacute;rez, del grupo de investigaci&oacute;n M2BE (Multiescala en Ingenier&iacute;a Mec&aacute;nica y Biol&oacute;gica).
    </p><h2 class="article-text">Testada en pacientes</h2><p class="article-text">
        Esta herramienta se ha probado ya en pacientes reales durante m&aacute;s de dos a&ntilde;os y medio, y los resultados de error en el c&aacute;lculo del tama&ntilde;o del tumor se situaron entre un 0,8% y un 12,28%. Adem&aacute;s, han descubierto que, en algunos casos, el tumor puede crecer sin que el nivel de PSA aumente de forma significativa, lo que no ser&iacute;a detectado con los m&eacute;todos tradicionales. Por eso, los investigadores consideran que la herramienta que han creado representa una opci&oacute;n prometedora para mejorar el seguimiento del c&aacute;ncer de pr&oacute;stata y avanzar hacia un control m&aacute;s personalizado de la enfermedad.
    </p><p class="article-text">
        En este sentido, se&ntilde;alan que, al proporcionar una comprensi&oacute;n m&aacute;s clara de las tendencias de crecimiento tumoral a partir de los an&aacute;lisis de sangre de PSA, el gemelo digital puede guiar a los m&eacute;dicos para determinar el momento &oacute;ptimo en el que realizar acciones diagn&oacute;sticas adicionales como una biopsia.
    </p><p class="article-text">
        El enfoque de esta l&iacute;nea de investigaci&oacute;n contribuye a protocolos de atenci&oacute;n m&aacute;s personalizados, ya que permite la identificaci&oacute;n de pacientes con crecimiento tumoral &ldquo;oculto&rdquo; donde los niveles de PSA se mantienen estables a pesar del desarrollo del tumor.
    </p>]]></description>
      <dc:creator><![CDATA[ElDiarioAragón]]></dc:creator>
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      <pubDate><![CDATA[Mon, 03 Nov 2025 11:32:36 +0000]]></pubDate>
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      <media:title><![CDATA[Investigadores de Unizar desarrollan una herramienta que usa la IA para mejorar el seguimiento del cáncer de próstata]]></media:title>
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      <media:keywords><![CDATA[Cáncer,Investigación,Universidad de Zaragoza,Inteligencia artificial]]></media:keywords>
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    <item>
      <title><![CDATA[Irene Montero elogia en Zaragoza el papel de jóvenes que "paran al fascismo": "Es la principal tarea democrática de hoy"]]></title>
      <link><![CDATA[https://www.eldiario.es/aragon/politica/irene-montero-elogia-zaragoza-papel-jovenes-paran-fascismo-principal-tarea-democratica-hoy_1_12733388.html]]></link>
      <description><![CDATA[<p><img src="https://static.eldiario.es/clip/642a07bb-8727-44c9-b90b-e074cd34ef4f_16-9-discover-aspect-ratio_default_1129464.jpg" width="1762" height="991" alt="Irene Montero elogia en Zaragoza el papel de jóvenes que &quot;paran al fascismo&quot;: &quot;Es la principal tarea democrática de hoy&quot;"></p><div class="subtitles"><p class="subtitle">La número dos de Unidas Podemos reconoce "dificultades internas": "Tenemos que volver a poner a la izquierda en pie"</p><p class="subtitle">Homenaje en Zaragoza a las víctimas del franquismo: “Es una obligación ciudadana frenar la involución democrática”</p></div><p class="article-text">
        La n&uacute;mero dos de Podemos, la eurodiputada Irene Montero, ha elogiado a &ldquo;la gente m&aacute;s joven de nuestro pa&iacute;s&rdquo;, porque &ldquo;est&aacute; siendo capaz de identificar la principal tarea democr&aacute;tica que tenemos en este momento, que es parar al fascismo con antifascismo, con feminismo, por la izquierda y avanzando en derechos, como nos han ense&ntilde;ado nuestras madres y nuestras abuelas&rdquo;.
    </p><p class="article-text">
        As&iacute; lo ha expresado Irene Montero este viernes, en declaraciones a los medios de comunicaci&oacute;n antes de la presentaci&oacute;n de su libro 'Algo habremos hecho bien', acompa&ntilde;ada por la periodista Cristina Fallar&aacute;s y la cineasta Paula Ortiz, que ha tenido lugar en el Aula Magna del Paraninfo de la Universidad de Zaragoza, con el aforo completo --290 personas--.
    </p><p class="article-text">
        El acto de este viernes en el Paraninfo de la Universidad de Zaragoza se produce tan solo unas horas despu&eacute;s los incidentes ocurridos en el campus de la Universidad de Navarra, donde encapuchados que protestaban contra un acto anunciado por el activista Vito Quiles lanzaron objetos y prendieron fuego a algunos contenedores. Adem&aacute;s, al menos cuatro agentes de la Polic&iacute;a Nacional y un periodista de El Espa&ntilde;ol resultaron heridos.
    </p><p class="article-text">
        En este punto, Montero ha expresado que el movimiento Antifa &ldquo;est&aacute; lleno de gente joven&rdquo; y que se est&aacute; ocupando &ldquo;de la principal tarea ciudadana de nuestro tiempo, que es hacer que las universidades y las calles sean espacios seguros libres de fascismo&rdquo;. &ldquo;Ese es el mejor legado de nuestras madres, de nuestros abuelos. La democracia se construye desde el antifascismo&rdquo;, ha asegurado.
    </p><p class="article-text">
        &ldquo;Yo espero que se recupere lo antes posible&rdquo;, ha deseado Montero al periodista herido, &ldquo;igual que espero que salgan de prisi&oacute;n, por ejemplo, los chavales que siguen de Los 6 de Zaragoza que siguen all&iacute;&rdquo;.
    </p><p class="article-text">
        Ha tildado de &ldquo;enorme hipocres&iacute;a&rdquo; que &ldquo;desde el poder medi&aacute;tico se levante la voz cuando hay un herido que es de los suyos, pero se guarde silencio y se sea c&oacute;mplice de la violencia y la represi&oacute;n al movimiento antifascista que se lleva ejerciendo en nuestro pa&iacute;s desde hace a&ntilde;os&rdquo;.
    </p><h2 class="article-text"><strong>Libertad para Los 6 de Zaragoza</strong></h2><p class="article-text">
        Adem&aacute;s, Irene Montero ha recordado que este s&aacute;bado, 1 de noviembre, hay convocada una movilizaci&oacute;n en la capital aragonesa para &ldquo;exigir la libertad inmediata&rdquo; de los dos j&oacute;venes que contin&uacute;an en prisi&oacute;n un a&ntilde;o y medio despu&eacute;s de que fuesen condenados a cuatro a&ntilde;os y nueve meses de prisi&oacute;n por un delito agravado de des&oacute;rdenes p&uacute;blicos por los disturbios ocurridos en enero de 2019 en esta ciudad durante una protesta contra la celebraci&oacute;n de un mitin de Vox.
    </p><p class="article-text">
        El pasado 23 de septiembre, el Consejo de Ministros concedi&oacute; el indulto a dos de ellos &ndash;Adri&aacute;n Latorre y Francisco Javier Aij&oacute;n 'Javitxu'&ndash;, mientras que otros dos no entraron en la c&aacute;rcel porque eran menores de edad y los otros dos siguen cumpliendo condena. &ldquo;Nosotras vamos a trabajar para que haya una sociedad en la que sus universidades, sus calles y sus instituciones sean espacios seguros, libres de fascismo&rdquo;, ha zanjado.
    </p><p class="article-text">
        En otro orden de cosas, Irene Montero se ha referido a la situaci&oacute;n que atraviesa la formaci&oacute;n morada en Arag&oacute;n, donde la militancia ha exigido en una carta an&oacute;nima esta misma semana la convocatoria de la Asamblea Ciudadana Auton&oacute;mica y donde cuentan con un &uacute;nico diputado en el Parlamento auton&oacute;mico, Andoni Corrales, con diferencias con la direcci&oacute;n nacional.
    </p><p class="article-text">
        &ldquo;No hay que ser ingenuas, en Podemos hemos atravesado momentos de mucha dificultad y dificultades internas y dificultades tambi&eacute;n para poder desarrollar nuestra tarea, que es transformar nuestra sociedad, resolver los problemas de la gente y llevar m&aacute;s all&aacute; los l&iacute;mites de lo posible, hacer que en este pa&iacute;s sean posibles las cosas que el PP y el PSOE siempre nos han dicho que eran imposibles&rdquo;, ha reconocido Montero.
    </p><p class="article-text">
        &ldquo;Hemos pasado muchas dificultades, pero ahora estamos entregadas a la tarea de poner a la izquierda en pie&rdquo;, ha asegurado la n&uacute;mero dos de la formaci&oacute;n morada, aduciendo que &ldquo;nadie quiere&rdquo; que gobierne la derecha, sin embargo, &ldquo;se est&aacute;n dando cuenta de que el PSOE se queda siempre a medias, que no puede frenar a la derecha y a la extrema derecha&rdquo;. Ha anotado: &ldquo;Cuando gobierna el PSOE, sin izquierda, la derecha manda, aunque no gobierne&rdquo;.
    </p><p class="article-text">
        Por lo tanto, a su juicio es necesario que vuelvan la izquierda y el feminismo que el PSOE &ldquo;ha metido en un caj&oacute;n&rdquo; y que &ldquo;ataca la extrema derecha&rdquo;. En definitiva: &ldquo;Que vuelva Podemos para poder seguir avanzando en derechos, que es la forma, no solo de defender la democracia, sino de devolver a la extrema derecha y al fascismo al rinc&oacute;n de la historia desde el que nunca debieron salir&rdquo;.
    </p><p class="article-text">
        &ldquo;A esa tarea estamos entregadas y estoy convencida de que si cumplimos con la tarea pol&iacute;tica de volver a poner a la izquierda en pie, los problemas organizativos van a resolverse, porque lo importante es de una organizaci&oacute;n pol&iacute;tica es la funci&oacute;n social que cumple&rdquo;, ha agregado Irene Montero.
    </p>]]></description>
      <dc:creator><![CDATA[ElDiarioAragón]]></dc:creator>
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      <pubDate><![CDATA[Sat, 01 Nov 2025 09:00:46 +0000]]></pubDate>
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