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  1. Article ; Online: Redes sociales en Internet en el marco del turismo cultural

    Viviana Silvia Leonardi / Silvina Renée Elías

    REDES: Revista Hispana para el Análisis de Redes Sociales, Vol 29, Iss

    los museos en Bahía Blanca (Argentina)

    2018  Volume 1

    Abstract: Actualmente, dada la situación económica internacional y con las nuevas motivaciones y exigencias de los turistas, los territorios apuestan por nuevos productos turísticos que ayuden a consolidar el destino. Entre estas nuevas propuestas, emerge con ... ...

    Abstract Actualmente, dada la situación económica internacional y con las nuevas motivaciones y exigencias de los turistas, los territorios apuestan por nuevos productos turísticos que ayuden a consolidar el destino. Entre estas nuevas propuestas, emerge con fuerza el turismo cultural, y dentro de sus alternativas el turismo de museos. En este contexto, el objetivo principal de este trabajo es analizar la existencia de capital social estructural generado alrededor de los museos localizados en la ciudad de Bahía Blanca (provincia de Buenos Aires, Argentina). Dicho estudio se realiza sobre la red social Facebook. También se observa cómo influye dicho capital social en la cantidad de visitantes que anualmente reciben los mismos. En el trabajo se realiza una breve conceptualización del turismo cultural y de los museos como elementos dinamizadores del territorio. El estudio del capital social estructural se realiza utilizando la técnica del Análisis de Redes Sociales (ARS) a través del programa de tratamiento de datos relacionales NODEXL que permite identificar las características estructurales de las redes de actores. El análisis permite comprobar la hipótesis planteada de que un mayor capital social estructural se relaciona directamente con la cantidad anual de visitantes que reciben los museos.
    Keywords Redes Sociales ; capital social ; turismo cultural ; turismo de museos ; Social Sciences ; H ; Social sciences (General) ; H1-99
    Language Spanish
    Publishing date 2018-04-01T00:00:00Z
    Publisher Universitat Autònoma de Barcelona
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Book ; Online ; E-Book: Behavioural ecology of western Palearctic falcons

    Leonardi, Giovanni

    2020  

    Abstract: ... it is possible to provide a working framework for rarer, and especially threatened, falcon species. ...

    Author's details Giovanni Leonardi
    Abstract This monograph is the result of eight years of bibliographical and field research concerning several behavioural ecology aspects of the Palaearctic falcons. For a while, this book grew along with “The Lanner falcon” published in 2015 and revised in 2017. In both books the main aim was to provide a clear overview of the biology and ecology of these species. In fact in the last 20 years, the number of publications on falcons has grown tremendously and, in parallel, also those belonging to the so-called "grey literature". The number of people involved is also increased by including both academics and nature lovers. Many previously published books emphasized identification, and offered little insights on the behavioural and ecological aspects of the species. Very often, the research on behavioural ecology remains closed within the confines of academic community. By contrast, a multitude of basic data is scattered in countless articles published in local magazines. Many falcon species are easy to observe and study (such as kestrels) but others are more rare and localized. In order to understand the survival strategies adopted by this group of avian predators, it is necessary not to lose sight of the overall picture. This book tries to explain the different survival strategies by examining, through a few essential chapters, some crucial aspects for all species. The first chapter provides information on the genus Falco, its genetics, evolution and morphological peculiarities. The other chapters deal with reproductive strategies, competition, exploitation of resources, dispersal patterns, communication and sociality. One of the main objectives of this book is to produce an accessible but scholarly curated source of reference. By understanding the most common species, it is possible to provide a working framework for rarer, and especially threatened, falcon species.
    Keywords Nature conservation ; Falco/Behavior ; Falco/Ecology
    Subject code 333.9516
    Language English
    Size 1 online resource (XVI, 206 p. 54 illus., 53 illus. in color.)
    Edition 1st ed. 2020.
    Publisher Springer
    Publishing place Cham, Switzerland
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 3-030-60541-8 ; 3-030-60540-X ; 978-3-030-60541-4 ; 978-3-030-60540-7
    DOI 10.1007/978-3-030-60541-4
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Book ; Conference proceedings: XIX Symposium Neuroradiologicum

    Leonardi, Marco

    the World Congress of Diagnostic & Therapeutic Neuroradiology, Bologna, Italy, 4 - 9 October 2010 ; [program and abstracts]

    (The neuroradiology journal ; 23, Suppl. 1)

    2010  

    Event/congress Symposium Neuroradiologicum (19, 2010, Bologna)
    Author's details president Marco Leonardi
    Series title The neuroradiology journal ; 23, Suppl. 1
    Collection
    Language English
    Size 483 S. : Ill.
    Publisher Centauro
    Publishing place Bologna
    Publishing country Italy
    Document type Book ; Conference proceedings
    HBZ-ID HT016693626
    Database Catalogue ZB MED Medicine, Health

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    Shelf markLoan statusLocation
    Zs A 2823 -23,Suppl.1- not available for loan Zeitschriften-Lesesaal

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  4. Article ; Online: Maximum Entropy Exploration in Contextual Bandits with Neural Networks and Energy Based Models.

    Elwood, Adam / Leonardi, Marco / Mohamed, Ashraf / Rozza, Alessandro

    Entropy (Basel, Switzerland)

    2023  Volume 25, Issue 2

    Abstract: Contextual bandits can solve a huge range of real-world problems. However, current popular algorithms to solve them either rely on linear models or unreliable uncertainty estimation in non-linear models, which are required to deal with the exploration- ... ...

    Abstract Contextual bandits can solve a huge range of real-world problems. However, current popular algorithms to solve them either rely on linear models or unreliable uncertainty estimation in non-linear models, which are required to deal with the exploration-exploitation trade-off. Inspired by theories of human cognition, we introduce novel techniques that use maximum entropy exploration, relying on neural networks to find optimal policies in settings with both continuous and discrete action spaces. We present two classes of models, one with neural networks as reward estimators, and the other with energy based models, which model the probability of obtaining an optimal reward given an action. We evaluate the performance of these models in static and dynamic contextual bandit simulation environments. We show that both techniques outperform standard baseline algorithms, such as NN HMC, NN Discrete, Upper Confidence Bound, and Thompson Sampling, where energy based models have the best overall performance. This provides practitioners with new techniques that perform well in static and dynamic settings, and are particularly well suited to non-linear scenarios with continuous action spaces.
    Language English
    Publishing date 2023-01-18
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2014734-X
    ISSN 1099-4300 ; 1099-4300
    ISSN (online) 1099-4300
    ISSN 1099-4300
    DOI 10.3390/e25020188
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Restinga ectomycorrhizae: a work in progress.

    N M Furtado, Ariadne / Leonardi, Marco / Comandini, Ornella / Neves, Maria Alice / C Rinaldi, Andrea

    F1000Research

    2023  Volume 12, Page(s) 317

    Abstract: Background: ...

    Abstract Background:
    MeSH term(s) Mycorrhizae ; Ecosystem ; Symbiosis ; Forests ; Biodiversity ; Plants
    Language English
    Publishing date 2023-03-22
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2699932-8
    ISSN 2046-1402 ; 2046-1402
    ISSN (online) 2046-1402
    ISSN 2046-1402
    DOI 10.12688/f1000research.131558.1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Correlation between birefringence and absorption mapping in large-size Sapphire substrates for gravitational-wave interferometry.

    Zeidler, Simon / Eisenmann, Marc / Bazzan, Marco / Li, Pengbo / Leonardi, Matteo

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 21393

    Abstract: In high-sensitive laser interferometers, such as the gravitational-wave detector KAGRA, ultra-high-quality mirrors are essential. In the case of KAGRA, where cavity mirrors are cooled down to 20 K, large-size Sapphire crystals are used as the substrate ... ...

    Abstract In high-sensitive laser interferometers, such as the gravitational-wave detector KAGRA, ultra-high-quality mirrors are essential. In the case of KAGRA, where cavity mirrors are cooled down to 20 K, large-size Sapphire crystals are used as the substrate for the main mirrors to achieve both a good optical quality (i.e., low absorption and uniform refractive index) and optimized thermal behavior under cryogenic temperatures. To implement the very tight optical specifications required by this demanding application, it is mandatory to test the optical homogeneity of different substrates. In order to characterize refractive-index inhomogeneities of large-size uniaxial samples such as the KAGRA Sapphire test masses, we developed a dedicated setup, allowing to resolve birefringence changes with a sensitivity in the order of [Formula: see text] and a spatial resolution of [Formula: see text]. Moreover, the same setup allows us to simultaneously record residual absorption maps, thus allowing for a comparison between birefringence and absorption features. In this paper, we will present for the first time measurements on a KAGRA-sized Sapphire substrate which has been characterized in terms of absorption already in an earlier work. Both birefringence inhomogeneities and absorption distributions will be compared and correlations discussed.
    Language English
    Publishing date 2023-12-04
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-45928-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Ectomycorrhizal Fungal Community and Ascoma Production in a Declining

    Ori, Francesca / Leonardi, Marco / Puliga, Federico / Lancellotti, Enrico / Pacioni, Giovanni / Iotti, Mirco / Zambonelli, Alessandra

    Journal of fungi (Basel, Switzerland)

    2023  Volume 9, Issue 6

    Abstract: ... Tuber ... ...

    Abstract Tuber borchii
    Language English
    Publishing date 2023-06-15
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2784229-0
    ISSN 2309-608X ; 2309-608X
    ISSN (online) 2309-608X
    ISSN 2309-608X
    DOI 10.3390/jof9060678
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  8. Article ; Online: Composition and Style Attributes Guided Image Aesthetic Assessment.

    Celona, Luigi / Leonardi, Marco / Napoletano, Paolo / Rozza, Alessandro

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

    2022  Volume 31, Page(s) 5009–5024

    Abstract: The aesthetic quality of an image is defined as the measure or appreciation of the beauty of an image. Aesthetics is inherently a subjective property but there are certain factors that influence it such as, the semantic content of the image, the ... ...

    Abstract The aesthetic quality of an image is defined as the measure or appreciation of the beauty of an image. Aesthetics is inherently a subjective property but there are certain factors that influence it such as, the semantic content of the image, the attributes describing the artistic aspect, the photographic setup used for the shot, etc. In this paper we propose a method for the automatic prediction of the aesthetics of an image that is based on the analysis of the semantic content, the artistic style and the composition of the image. The proposed network includes: a pre-trained network for semantic features extraction (the Backbone); a Multi Layer Perceptron (MLP) network that relies on the Backbone features for the prediction of image attributes (the AttributeNet); a self-adaptive Hypernetwork that exploits the attributes prior encoded into the embedding generated by the AttributeNet to predict the parameters of the target network dedicated to aesthetic estimation (the AestheticNet). Given an image, the proposed multi-network is able to predict: style and composition attributes, and aesthetic score distribution. Results on three benchmark datasets demonstrate the effectiveness of the proposed method, while the ablation study gives a better understanding of the proposed network.
    Language English
    Publishing date 2022-08-01
    Publishing country United States
    Document type Journal Article
    ISSN 1941-0042
    ISSN (online) 1941-0042
    DOI 10.1109/TIP.2022.3191853
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Editorial.

    Leonardi, Marco

    The neuroradiology journal

    2014  Volume 27, Issue 5, Page(s) 519

    MeSH term(s) Brain/diagnostic imaging ; Child ; Humans ; Neuroimaging/methods
    Language English
    Publishing date 2014-09-25
    Publishing country United States
    Document type Editorial
    ZDB-ID 2257770-1
    ISSN 1971-4009 ; 1120-9976
    ISSN 1971-4009 ; 1120-9976
    DOI 10.15274/NRJ-2014-10083
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2823: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  10. Article ; Online: A novel framework for the evaluation of coastal protection schemes through integration of numerical modelling and artificial intelligence into the Sand Engine App.

    Kumar, Pavitra / Leonardi, Nicoletta

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 8610

    Abstract: There is growing interest in the adoption of Engineering with Nature or Nature Based Solutions for coastal protection including large mega-nourishment interventions. However, there are still many unknowns on the variables and design features influencing ... ...

    Abstract There is growing interest in the adoption of Engineering with Nature or Nature Based Solutions for coastal protection including large mega-nourishment interventions. However, there are still many unknowns on the variables and design features influencing their functionalities. There are also challenges in the optimization of coastal modelling outputs or information usage in support of decision-making. In this study, more than five hundred numerical simulations with different sandengine designs and different locations along Morecambe Bay (UK) were conducted in Delft3D. Twelve Artificial Neural Networking ensemble models structures were trained on the simulated data to predict the influence of different sand engines on water depth, wave height and sediment transports with good performance. The ensemble models were then packed into a Sand Engine App developed in MATLAB and designed to calculate the impact of different sand engine features on the above variables based on users' inputs of sandengine designs.
    Language English
    Publishing date 2023-05-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-35801-5
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