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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Tesconi, Susanna; Abellán Fabrés, Gemma;

    Instrucciones para acceder al recurso: en primer lugar es necesario descargar el archivo .zip. Una vez descargado, y para poder navegar por los contenidos del recurso, es necesario hacer clic en el archivo index.html. Instructions on how to access the resource: first you need to download the .zip file. Once downloaded, and in order to navigate through the contents of the resource, it is necessary to click on the index.html file. Instruccions per accedir al recurs: en primer lloc cal descarregar el fitxer .zip. Un cop descarregat, i per poder navegar pels continguts del recurs, cal fer clic al fitxer index.html. Recurso de aprendizaje de la Universitat Oberta de Catalunya. Recurs d'aprenentatge de la Universitat Oberta de Catalunya. Learning material of the Universitat Oberta de Catalunya.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Recolector de Cienci...arrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Recolector de Cienci...arrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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  • Authors: Sarmiento Lezcano, Airam Nauzet; Couret Huertas, María; Tuset Andujar, Victor Manuel; Lombarte, A.; +3 Authors

    Lanternfishes are the dominant component of mesopelagic fishes living in the ocean between 200 and 1000 m depth, playing a key role in the food web of oceanic ecosystems (Catul et al., 2011). Most mesopelagic fishes perform large diel vertical migrations from the deep-sea zone, where they stay during the day, to the surface where they feed at night, thereby transporting the ingested carbon in the upper productive waters to deep layers. Although there is a trade off between higher food availability at the upper layers and energy cost and predation risk, the incursions towards the surface also implies a transport by currents where they are exposed to stranding risk on the coast. This is especially important in the narrow shelves of oceanic islands where the shelf slope is nearshore. In the present study, we report the stranding of numerous myctophids along the shore of the southeast of Gran Canaria Island during June 2021. In previous studies (Battaglia et al., 2017), mesopelagic fishes strandings were frequently reported at the Sicilian coast (Strait of Messina, central Mediterranean Sea). However, this phenomenon has never been recorded in the Canary Islands coast (Central-East Atlantic). This study provides biological information on the species found, as well as the oceanographic conditions promoting the strandings. A subsample of the better-preserved specimens was used to identify the species, and morphometrics of the body (standard length, SL in mm) and of the sagittae otoliths. The remaining specimens, due to their bad conservation status, were identified through otoliths using the online AFORO web (Lombarte et al., 2006). Temperature, salinity, dissolved oxygen, and net primary production were obtained from Copernicus Marine Environment Monitoring Service (CMEMS) with the aim to understand the oceanographic conditions and discuss the causes of the stranding. 102 101 1

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    Authors: Font Aragonès, Xavier; JANER, LÉONARD; Llorens Cervera, Sònia; Martínez Aguiló, Jaume;

    Recurso de aprendizaje de la Universitat Oberta de Catalunya. Material publicado con licencia Creative Commons pasados 6 semestres desde la fecha de publicación. Recurs d'aprenentatge de la Universitat Oberta de Catalunya. Material publicat amb llicència Creative Commons passats 6 semestres des de la data de publicació. Learning material of the Universitat Oberta de Catalunya. Material published under a Creative Commons license after 6 semesters from the date of publication.

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    Authors: Serrano Bosch, Eduard;

    Recurso de aprendizaje de la Universitat Oberta de Catalunya. Material publicado con licencia Creative Commons pasados 6 semestres desde la fecha de publicación. Recurs d'aprenentatge de la Universitat Oberta de Catalunya. Material publicat amb llicència Creative Commons passats 6 semestres des de la data de publicació. Learning material of the Universitat Oberta de Catalunya. Material published under a Creative Commons license after 6 semesters from the date of publication.

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  • Authors: Sobirov, Bobur; Ramos-Ramos, Sergio; Santana Cerdeña,Lucía; Gulmira, Tursunova; +1 Authors

    The rapid evolution and deployment of Information Technologies may produce smart organisations, smart communities and smart destinations. In all levels of decision making in tourism, the basic objective is make the best decisions. Nowadays, tourist software applications have become a technology boom used in all levels of this decision making. This has been amplified by the development of sensors, gadgets and other hardware devices embedded in the environment. The development of Smart Cities has led to the concept of the Smart Tourism Destinations (STD). Tourism destinations could make use of these interactions between ubiquitous sensing technology and their social components to support the enrichment of tourist experiences. The aim of this research is concentrated on the usage and need of what is called as Internet of Things and its effectiveness to achieve Smart Tourism which could deliver the best travel information in real-time based on destination. This is explained using a holistic approach incorporating tour information, and services related to travel, such as destination, food, transportation, reservation, travel guide, conveniently to tourists through accessible channels. At last but not least, results serve to point out major trends and gaps in which to focus further investigations on this topic. 877 863 15

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    Authors: Santamaría García, Antonio; Zanetti Lecuona, Oscar;

    “Connected Worlds: the Caribbean, Origin of Modern World”. This project has received funding from the European Union´s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement Nº 823846. European Union´s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement Nº 823846 Peer reviewed

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    Authors: Hamdaoui, B; Rayes, A; Zorba, N; Song, LY; +1 Authors

    The articles in this special section focuses on blockchain for scalable Internet of Things (IoT) management, access, and accountability. The articles highlight new blockchain architectures and techniques that can be leveraged to enable scalable management, access and accountability of massive numbers of IoT devices to effectively support various IoT applications.

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    Authors: Rimbau Gilabert, Eva;

    Presentació elaborada per un programa sobre la digitalització i la direcció de persones per a directius i directives de recursos humans. Presentación elaborada para un programa sobre la digitalización y la dirección de personas para directivos/as de recursos humanos. Presentation prepared for a digitalization and people management program for human resources managers.

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    Authors: Ramírez García, Javier; López López, David;

    Recurso de aprendizaje de la Universitat Oberta de Catalunya. Material publicado con licencia Creative Commons pasados 6 semestres desde la fecha de publicación. Recurs d'aprenentatge de la Universitat Oberta de Catalunya. Material publicat amb llicència Creative Commons passats 6 semestres des de la data de publicació. Learning resource of the Universitat Oberta de Catalunya. Material published under a Creative Commons license after 6 semesters from the date of publication.

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    Authors: Mateo-Sanchis, Anna; Muñoz Marí, Jordi; Campos Taberner, Manuel; García Haro, Francisco Javier; +1 Authors

    In this work we evaluate multi-output (MO) Gaussian Process (GP) models based on the linear model of coregionalization (LMC) for estimation of biophysical parameter variables under a gap filling setup. In particular, we focus on LAI and fAPAR over rice areas. We show how this problem cannot be solved with standard single-output (SO) GP models, and how the proposed MO-GP models are able to successfully predict these variables even in high missing data regimes, by implicitly performing an across-domain information transfer. CICYT TIN2015-64210-R In this work we evaluate multi-output (MO) Gaussian Process (GP) models based on the linear model of coregionalization (LMC) for estimation of biophysical parameter variables under a gap filling setup. In particular, we focus on LAI and fAPAR over rice areas. We show how this problem cannot be solved with standard single-output (SO) GP models, and how the proposed MO-GP models are able to successfully predict these variables even in high missing data regimes, by implicitly performing an across-domain information transfer.

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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Tesconi, Susanna; Abellán Fabrés, Gemma;

    Instrucciones para acceder al recurso: en primer lugar es necesario descargar el archivo .zip. Una vez descargado, y para poder navegar por los contenidos del recurso, es necesario hacer clic en el archivo index.html. Instructions on how to access the resource: first you need to download the .zip file. Once downloaded, and in order to navigate through the contents of the resource, it is necessary to click on the index.html file. Instruccions per accedir al recurs: en primer lloc cal descarregar el fitxer .zip. Un cop descarregat, i per poder navegar pels continguts del recurs, cal fer clic al fitxer index.html. Recurso de aprendizaje de la Universitat Oberta de Catalunya. Recurs d'aprenentatge de la Universitat Oberta de Catalunya. Learning material of the Universitat Oberta de Catalunya.

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  • Authors: Sarmiento Lezcano, Airam Nauzet; Couret Huertas, María; Tuset Andujar, Victor Manuel; Lombarte, A.; +3 Authors

    Lanternfishes are the dominant component of mesopelagic fishes living in the ocean between 200 and 1000 m depth, playing a key role in the food web of oceanic ecosystems (Catul et al., 2011). Most mesopelagic fishes perform large diel vertical migrations from the deep-sea zone, where they stay during the day, to the surface where they feed at night, thereby transporting the ingested carbon in the upper productive waters to deep layers. Although there is a trade off between higher food availability at the upper layers and energy cost and predation risk, the incursions towards the surface also implies a transport by currents where they are exposed to stranding risk on the coast. This is especially important in the narrow shelves of oceanic islands where the shelf slope is nearshore. In the present study, we report the stranding of numerous myctophids along the shore of the southeast of Gran Canaria Island during June 2021. In previous studies (Battaglia et al., 2017), mesopelagic fishes strandings were frequently reported at the Sicilian coast (Strait of Messina, central Mediterranean Sea). However, this phenomenon has never been recorded in the Canary Islands coast (Central-East Atlantic). This study provides biological information on the species found, as well as the oceanographic conditions promoting the strandings. A subsample of the better-preserved specimens was used to identify the species, and morphometrics of the body (standard length, SL in mm) and of the sagittae otoliths. The remaining specimens, due to their bad conservation status, were identified through otoliths using the online AFORO web (Lombarte et al., 2006). Temperature, salinity, dissolved oxygen, and net primary production were obtained from Copernicus Marine Environment Monitoring Service (CMEMS) with the aim to understand the oceanographic conditions and discuss the causes of the stranding. 102 101 1

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    Authors: Font Aragonès, Xavier; JANER, LÉONARD; Llorens Cervera, Sònia; Martínez Aguiló, Jaume;

    Recurso de aprendizaje de la Universitat Oberta de Catalunya. Material publicado con licencia Creative Commons pasados 6 semestres desde la fecha de publicación. Recurs d'aprenentatge de la Universitat Oberta de Catalunya. Material publicat amb llicència Creative Commons passats 6 semestres des de la data de publicació. Learning material of the Universitat Oberta de Catalunya. Material published under a Creative Commons license after 6 semesters from the date of publication.

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    Authors: Serrano Bosch, Eduard;

    Recurso de aprendizaje de la Universitat Oberta de Catalunya. Material publicado con licencia Creative Commons pasados 6 semestres desde la fecha de publicación. Recurs d'aprenentatge de la Universitat Oberta de Catalunya. Material publicat amb llicència Creative Commons passats 6 semestres des de la data de publicació. Learning material of the Universitat Oberta de Catalunya. Material published under a Creative Commons license after 6 semesters from the date of publication.

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  • Authors: Sobirov, Bobur; Ramos-Ramos, Sergio; Santana Cerdeña,Lucía; Gulmira, Tursunova; +1 Authors

    The rapid evolution and deployment of Information Technologies may produce smart organisations, smart communities and smart destinations. In all levels of decision making in tourism, the basic objective is make the best decisions. Nowadays, tourist software applications have become a technology boom used in all levels of this decision making. This has been amplified by the development of sensors, gadgets and other hardware devices embedded in the environment. The development of Smart Cities has led to the concept of the Smart Tourism Destinations (STD). Tourism destinations could make use of these interactions between ubiquitous sensing technology and their social components to support the enrichment of tourist experiences. The aim of this research is concentrated on the usage and need of what is called as Internet of Things and its effectiveness to achieve Smart Tourism which could deliver the best travel information in real-time based on destination. This is explained using a holistic approach incorporating tour information, and services related to travel, such as destination, food, transportation, reservation, travel guide, conveniently to tourists through accessible channels. At last but not least, results serve to point out major trends and gaps in which to focus further investigations on this topic. 877 863 15

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    Authors: Santamaría García, Antonio; Zanetti Lecuona, Oscar;

    “Connected Worlds: the Caribbean, Origin of Modern World”. This project has received funding from the European Union´s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement Nº 823846. European Union´s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement Nº 823846 Peer reviewed

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    Authors: Hamdaoui, B; Rayes, A; Zorba, N; Song, LY; +1 Authors

    The articles in this special section focuses on blockchain for scalable Internet of Things (IoT) management, access, and accountability. The articles highlight new blockchain architectures and techniques that can be leveraged to enable scalable management, access and accountability of massive numbers of IoT devices to effectively support various IoT applications.

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    Authors: Rimbau Gilabert, Eva;

    Presentació elaborada per un programa sobre la digitalització i la direcció de persones per a directius i directives de recursos humans. Presentación elaborada para un programa sobre la digitalización y la dirección de personas para directivos/as de recursos humanos. Presentation prepared for a digitalization and people management program for human resources managers.

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    Authors: Ramírez García, Javier; López López, David;

    Recurso de aprendizaje de la Universitat Oberta de Catalunya. Material publicado con licencia Creative Commons pasados 6 semestres desde la fecha de publicación. Recurs d'aprenentatge de la Universitat Oberta de Catalunya. Material publicat amb llicència Creative Commons passats 6 semestres des de la data de publicació. Learning resource of the Universitat Oberta de Catalunya. Material published under a Creative Commons license after 6 semesters from the date of publication.

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    Authors: Mateo-Sanchis, Anna; Muñoz Marí, Jordi; Campos Taberner, Manuel; García Haro, Francisco Javier; +1 Authors

    In this work we evaluate multi-output (MO) Gaussian Process (GP) models based on the linear model of coregionalization (LMC) for estimation of biophysical parameter variables under a gap filling setup. In particular, we focus on LAI and fAPAR over rice areas. We show how this problem cannot be solved with standard single-output (SO) GP models, and how the proposed MO-GP models are able to successfully predict these variables even in high missing data regimes, by implicitly performing an across-domain information transfer. CICYT TIN2015-64210-R In this work we evaluate multi-output (MO) Gaussian Process (GP) models based on the linear model of coregionalization (LMC) for estimation of biophysical parameter variables under a gap filling setup. In particular, we focus on LAI and fAPAR over rice areas. We show how this problem cannot be solved with standard single-output (SO) GP models, and how the proposed MO-GP models are able to successfully predict these variables even in high missing data regimes, by implicitly performing an across-domain information transfer.

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