Advanced search in Research products
Research products
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
Include:
The following results are related to Digital Humanities and Cultural Heritage. Are you interested to view more results? Visit OpenAIRE - Explore.
240 Research products, page 1 of 24

  • Digital Humanities and Cultural Heritage
  • Publications
  • Research data
  • Other research products
  • Open Access
  • Article
  • European Commission
  • EC|H2020
  • EU
  • DE
  • ZENODO
  • Scientometrics
  • Social Science and Humanities

10
arrow_drop_down
Date (most recent)
arrow_drop_down
  • Open Access
    Authors: 
    Alicia Checa-Fernández; Aurora Santos; Leandro O. Conte; Arturo Romero; Carmen M. Domínguez;
    Publisher: Elsevier BV
    Country: Spain
    Project: EC | SPFPs (844209)

    The desorption of hydrophobic organic compounds (HOCs) and limited mass transfer in soil systems is a significant challenge for efficient soil remediation by oxidation treatments. The utilization of sonochemistry is a promising technology to enhance the decontamination of HOCs-polluted soils. In this work, ultrasound (US) was coupled to NaOH for activating persulfate (PS) to improve the remediation for natural soil polluted with hexa-chlorocyclohexanes (HCHs) (ΣHCHs = 404 mg kg− 1 ). Batch experiments (mass aqueous/soil ratio, VL/WS = 2) were performed to evaluate the effect of US on HOCs desorption and oxidation. Moreover, the influence of US power (0–245 W, corresponding to 0–91 W L-1 of US power density) and the initial oxidant concentration (CPS = 10–60 g L-1) on pollutants abatement, dechlorination degree, and oxidant consumption have been studied. Scanning electron microscopy (SEM) images verified that the US facilitates the breakdown of soil aggregates, enhancing the desorption of trichlorobenzenes (TCBs) (generated from HCHs alkaline hydrolysis) from the soil. Moreover, their subsequent oxidation is favouring because of higher radical species concentrations and the temperature rise. An increase in the US power up to 165 W accelerates the production rate of radicals, improving the pollutants’ degradation. The difference between pollutant oxidation and dechlorination decreases with increasing US power, associated with a lower concentration of intermediate chlorinated compounds. In the same way, the initial oxidant concentration plays a fundamental role in the remediation treatment. At the selected operating conditions (CPS = 60 g L-1, NaOH/PS = 2, 165 W), a pollutants degradation and dechlorination of 0.94 and 0.74, respectively, were achieved in just 3 h of reaction time.

  • Publication . Article . 2023
    Open Access
    Authors: 
    Joerg Osterrieder; Branka Hadji Misheva; Marcos Machado;
    Publisher: Zenodo
    Project: SNSF | Network-based credit risk... (205487), SNSF | Anomaly and fraud detecti... (211195), EC | FIN-TECH (825215), SNSF | Narrative Digital Finance... (213370)

    Digital Finance must become the center of academic research in finance if the European financial industry is to remain competitive in the future. We argue that the new interdisciplinary field of Digital Finance should be prioritized based on the strategic priorities of the European Union, the needs of the finance industry, and the academic research gaps. Digital Finance as an interdisciplinary field will contribute to the strategic priorities of the European Union, such as financing for growth and jobs, financial stability and supervision, financial education, financing for small and medium-sized enterprises, and combating exclusion and inequality in access to credit.

  • Open Access
    Authors: 
    Saumitra Joshi; Jiaqing Kou; Aurelio Hurtado de Mendoza; Kunal Puri; Charles Hirsch; Gonzalo Rubio; Esteban Ferrer;
    Publisher: Elsevier BV
    Project: EC | ASIMIA (813605)

    We propose a strategy to estimate the maximum stable time-steps for explicit time-stepping methods for hyperbolic systems in a high-order flux reconstruction framework. The strategy is derived through a von-Neumann analysis (VNA) framework for the advection-diffusion equation on skewed two- and three-dimensional meshes. It directly incorporates the spatial polynomial- and mesh-discretization in estimating the convective and diffusive length-scales. The strategy is extended to the density-based Navier-Stokes system of equations, taking into account the omnidirectionality of the speed of sound. We compare the performance of this strategy with three other popular choices of length-scales across a wide range of polynomial-orders, meshes of drastically varying cell-quality, and flow-physics. The proposed strategy shows robust behavior across all test-scenarios with limited variation of the maximum stable CFL-number (0.1 to 1) for polynomial-orders 1 through 10, unlike other strategies where the CFL-number varies sharply. Finally, we show the advantage of the proposed methodology for local-timestepping for p-multigrid through a RANS-modeled steady-state turbulent flow case, on a mesh with large disparity of mesh elements and aspect ratios.

  • Open Access English
    Authors: 
    Grbac, Deborah;
    Publisher: Zenodo
    Project: EC | TRIPLE (863420)

    The TRIPLE project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 863420 Disclaimer. The content of this publication is the sole responsibility of the author and can in no way be taken to reflect the views of the European Commission. The European Commission is not responsible for any use that may be made of the information it contains. The poster presents the Open Science and digital humanities in the United Nations Depository Libraries System.

  • Open Access
    Authors: 
    Nitzan Rimon-Zarfaty; Mark Schweda;
    Publisher: Zenodo
    Project: EC | TIMEGG (749889)

    AbstractBringing together scholars from philosophy, bioethics, law, sociology, and anthropology, this topical collection explores how innovations in the field of biomedicine and the life sciences are challenging and transforming traditional understandings of human temporality and of the temporal duration, extension and structure of human life. The contributions aim to expand the theoretical debate by highlighting the significance of time and human temporality in different discourses and practical contexts, and developing concrete, empirically informed, and culturally sensitive perspectives. The collection is structured around three main foci: the beginning of life, the middle of life, and later life. This structure facilitates an in-depth examination of specific technological and biographical contexts and at the same time allows an overarching comparison of relevant similarities and differences between life phases and fields of application.

  • Open Access
    Authors: 
    Debora Cevasco; J. Tautz-Weinert; Athanasios Kolios; Ursula Smolka;
    Publisher: Zenodo
    Project: EC | ROMEO (745625)

    Abstract Structural damage in offshore wind jacket support structures are relatively unlikely due to the precautions taken in design but it could imply dramatic consequences if undetected. This work explores the possibilities of damage detection when using low resolution data, which are available with lower costs compared to dedicated high-resolution structural health monitoring. Machine learning approaches showed to be generally feasible for detecting a structural damage based on SCADA data collected in a simulation environment. Focus is here given to investigate model uncertainties, to assess the applicability of machine learning approaches for reality. Two jacket models are utilised representing the as-designed and the as-installed system, respectively. Extensive semi-coupled simulations representing different operating load cases are conducted to generate a database of low-resolution signals serving the machine learning training and testing. The analysis shows the challenges of classification approaches, i.e. supervised learning aiming to separate healthy and damage status, in coping with the uncertainty in system dynamics. Contrarily, an unsupervised novelty detection approach shows promising results when trained with data from both, the as-designed and the as-installed system. The findings highlight the importance of investigating model uncertainties and careful selection of training data.

  • Open Access English
    Authors: 
    Dorian Jano;
    Project: EC | RESEE (891530)

    This article presents an overview that systematically maps the historical development, thematic foci and temporal trends of research in Balkan – Southeast European studies. It uses bibliographic and content analysis as well as other tools to synthesize around 8000 scholarly publications on the Balkans – Southeast Europe that are indexed in the Web of Science databases (SSCI, A&HCI, ESCI, BKCI-SSH). We provide a visual representation of the intellectual historiography and the conceptual content and dynamics of Balkan – Southeast European studies, identifying the most prominent works, the active research themes and the emerging trajectories in the field.

  • Open Access English
    Authors: 
    F. Papi; Y. Perignon; A. Bianchini;
    Publisher: Zenodo
    Project: EC | FLOATECH (101007142)

    Abstract Offshore wind turbines are subject not only to varying wind conditions during their lifetime, but also sea conditions. Therefore, in addition to wind speed, other sea-related quantities need to be considered to characterize a specific installation site. International standards suggest that, at a minimum, significant wave height, peak spectral period and wind/wave misalignment must be considered. In order to have a statistically significant description of the potential installation site, the long-term distributions of the three environmental variables must be determined. In this context, the objectives of the present work are twofold: firstly, to demonstrate the procedure trough which environmental conditions including wind and wave information can be derived using open-source tools. Secondly, an exemplary dataset is provided. The dataset is used both do demonstrate the procedure and provided as a ready-made example for use in future studies. The provided dataset is used in the EU-funded Horizon 2020 project FLOATECH.

  • Open Access
    Authors: 
    Eduardo Müller-Casseres; Alexandre Szklo; Clarissa Fonte; Francielle Carvalho; Joana Portugal-Pereira; Luiz Bernardo Baptista; Pedro Maia; Pedro R.R. Rochedo; Rebecca Draeger; Roberto Schaeffer;
    Project: EC | NAVIGATE (821124), EC | ENGAGE (821471)

    Aviation and shipping account for 22% of total transport-related CO2 emissions. Low-carbon fuels (such as biofuels and e-fuels) are the most promising alternatives to deeply decarbonize air and maritime transport. A number of technological routes focused on the production of renewable jet fuel can coproduce marine fuels, emulating the economies of scope of crude oil refineries. This work aims to investigate possible synergies in the decarbonization of aviation and shipping in Brazil, selected as an interesting case study. An Integrated Assessment Model (IAM) of national scope is used to explore different combinations of sectoral and national climate targets. This IAM represents not only the energy supply and transport systems but also the agricultural and land-use systems. In the absence of a deep mitigation policy for Brazil, results indicate synergies related to oilseed- and lignocellulosic-based biofuels production routes. Imposing a strict carbon budget to the Brazilian economy compatible with a world well below 2°C, the portfolio of aviation and shipping fuels changes significantly with the need for carbon dioxide removal strategies based on bioenergy. In such a scenario, synergies between the two sectors still exist, but most renewable marine energy supply is a by-product of synthetic diesel produced for road transport, revealing a synergy different from the one originally investigated by this work.

  • Open Access English
    Authors: 
    Rubio, Hugo; Gottschall, Julia;
    Publisher: Zenodo
    Project: EC | LIKE (858358)

    Ship-based lidar systems are a cost-efficient alternative for retrieving highly-reliable offshore wind data. However, the non-stationary nature of ship-mounted lidars hinders the comparison against reference datasets and, therefore, a straightforward characterization of the uncertainty levels associated with these sorts of measurements. For this reason, in this paper we have set up and report an analytical model for estimating the uncertainties of ship-based lidar measurements. The model follows the standard uncertainty propagation method considering the relevant parameters for assessing the wind speed from pulsed Doppler-lidar observations, such as the half cone opening angle, the radial velocity estimation, or the lidar beams' orientations. Additionally, the derivation of the presented uncertainty model contemplates the technology-specific variables and considerations like the ship linear velocity or tilting, as well as the implementation of a motion correction algorithm.

Advanced search in Research products
Research products
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
Include:
The following results are related to Digital Humanities and Cultural Heritage. Are you interested to view more results? Visit OpenAIRE - Explore.
240 Research products, page 1 of 24
  • Open Access
    Authors: 
    Alicia Checa-Fernández; Aurora Santos; Leandro O. Conte; Arturo Romero; Carmen M. Domínguez;
    Publisher: Elsevier BV
    Country: Spain
    Project: EC | SPFPs (844209)

    The desorption of hydrophobic organic compounds (HOCs) and limited mass transfer in soil systems is a significant challenge for efficient soil remediation by oxidation treatments. The utilization of sonochemistry is a promising technology to enhance the decontamination of HOCs-polluted soils. In this work, ultrasound (US) was coupled to NaOH for activating persulfate (PS) to improve the remediation for natural soil polluted with hexa-chlorocyclohexanes (HCHs) (ΣHCHs = 404 mg kg− 1 ). Batch experiments (mass aqueous/soil ratio, VL/WS = 2) were performed to evaluate the effect of US on HOCs desorption and oxidation. Moreover, the influence of US power (0–245 W, corresponding to 0–91 W L-1 of US power density) and the initial oxidant concentration (CPS = 10–60 g L-1) on pollutants abatement, dechlorination degree, and oxidant consumption have been studied. Scanning electron microscopy (SEM) images verified that the US facilitates the breakdown of soil aggregates, enhancing the desorption of trichlorobenzenes (TCBs) (generated from HCHs alkaline hydrolysis) from the soil. Moreover, their subsequent oxidation is favouring because of higher radical species concentrations and the temperature rise. An increase in the US power up to 165 W accelerates the production rate of radicals, improving the pollutants’ degradation. The difference between pollutant oxidation and dechlorination decreases with increasing US power, associated with a lower concentration of intermediate chlorinated compounds. In the same way, the initial oxidant concentration plays a fundamental role in the remediation treatment. At the selected operating conditions (CPS = 60 g L-1, NaOH/PS = 2, 165 W), a pollutants degradation and dechlorination of 0.94 and 0.74, respectively, were achieved in just 3 h of reaction time.

  • Publication . Article . 2023
    Open Access
    Authors: 
    Joerg Osterrieder; Branka Hadji Misheva; Marcos Machado;
    Publisher: Zenodo
    Project: SNSF | Network-based credit risk... (205487), SNSF | Anomaly and fraud detecti... (211195), EC | FIN-TECH (825215), SNSF | Narrative Digital Finance... (213370)

    Digital Finance must become the center of academic research in finance if the European financial industry is to remain competitive in the future. We argue that the new interdisciplinary field of Digital Finance should be prioritized based on the strategic priorities of the European Union, the needs of the finance industry, and the academic research gaps. Digital Finance as an interdisciplinary field will contribute to the strategic priorities of the European Union, such as financing for growth and jobs, financial stability and supervision, financial education, financing for small and medium-sized enterprises, and combating exclusion and inequality in access to credit.

  • Open Access
    Authors: 
    Saumitra Joshi; Jiaqing Kou; Aurelio Hurtado de Mendoza; Kunal Puri; Charles Hirsch; Gonzalo Rubio; Esteban Ferrer;
    Publisher: Elsevier BV
    Project: EC | ASIMIA (813605)

    We propose a strategy to estimate the maximum stable time-steps for explicit time-stepping methods for hyperbolic systems in a high-order flux reconstruction framework. The strategy is derived through a von-Neumann analysis (VNA) framework for the advection-diffusion equation on skewed two- and three-dimensional meshes. It directly incorporates the spatial polynomial- and mesh-discretization in estimating the convective and diffusive length-scales. The strategy is extended to the density-based Navier-Stokes system of equations, taking into account the omnidirectionality of the speed of sound. We compare the performance of this strategy with three other popular choices of length-scales across a wide range of polynomial-orders, meshes of drastically varying cell-quality, and flow-physics. The proposed strategy shows robust behavior across all test-scenarios with limited variation of the maximum stable CFL-number (0.1 to 1) for polynomial-orders 1 through 10, unlike other strategies where the CFL-number varies sharply. Finally, we show the advantage of the proposed methodology for local-timestepping for p-multigrid through a RANS-modeled steady-state turbulent flow case, on a mesh with large disparity of mesh elements and aspect ratios.

  • Open Access English
    Authors: 
    Grbac, Deborah;
    Publisher: Zenodo
    Project: EC | TRIPLE (863420)

    The TRIPLE project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 863420 Disclaimer. The content of this publication is the sole responsibility of the author and can in no way be taken to reflect the views of the European Commission. The European Commission is not responsible for any use that may be made of the information it contains. The poster presents the Open Science and digital humanities in the United Nations Depository Libraries System.

  • Open Access
    Authors: 
    Nitzan Rimon-Zarfaty; Mark Schweda;
    Publisher: Zenodo
    Project: EC | TIMEGG (749889)

    AbstractBringing together scholars from philosophy, bioethics, law, sociology, and anthropology, this topical collection explores how innovations in the field of biomedicine and the life sciences are challenging and transforming traditional understandings of human temporality and of the temporal duration, extension and structure of human life. The contributions aim to expand the theoretical debate by highlighting the significance of time and human temporality in different discourses and practical contexts, and developing concrete, empirically informed, and culturally sensitive perspectives. The collection is structured around three main foci: the beginning of life, the middle of life, and later life. This structure facilitates an in-depth examination of specific technological and biographical contexts and at the same time allows an overarching comparison of relevant similarities and differences between life phases and fields of application.

  • Open Access
    Authors: 
    Debora Cevasco; J. Tautz-Weinert; Athanasios Kolios; Ursula Smolka;
    Publisher: Zenodo
    Project: EC | ROMEO (745625)

    Abstract Structural damage in offshore wind jacket support structures are relatively unlikely due to the precautions taken in design but it could imply dramatic consequences if undetected. This work explores the possibilities of damage detection when using low resolution data, which are available with lower costs compared to dedicated high-resolution structural health monitoring. Machine learning approaches showed to be generally feasible for detecting a structural damage based on SCADA data collected in a simulation environment. Focus is here given to investigate model uncertainties, to assess the applicability of machine learning approaches for reality. Two jacket models are utilised representing the as-designed and the as-installed system, respectively. Extensive semi-coupled simulations representing different operating load cases are conducted to generate a database of low-resolution signals serving the machine learning training and testing. The analysis shows the challenges of classification approaches, i.e. supervised learning aiming to separate healthy and damage status, in coping with the uncertainty in system dynamics. Contrarily, an unsupervised novelty detection approach shows promising results when trained with data from both, the as-designed and the as-installed system. The findings highlight the importance of investigating model uncertainties and careful selection of training data.

  • Open Access English
    Authors: 
    Dorian Jano;
    Project: EC | RESEE (891530)

    This article presents an overview that systematically maps the historical development, thematic foci and temporal trends of research in Balkan – Southeast European studies. It uses bibliographic and content analysis as well as other tools to synthesize around 8000 scholarly publications on the Balkans – Southeast Europe that are indexed in the Web of Science databases (SSCI, A&HCI, ESCI, BKCI-SSH). We provide a visual representation of the intellectual historiography and the conceptual content and dynamics of Balkan – Southeast European studies, identifying the most prominent works, the active research themes and the emerging trajectories in the field.

  • Open Access English
    Authors: 
    F. Papi; Y. Perignon; A. Bianchini;
    Publisher: Zenodo
    Project: EC | FLOATECH (101007142)

    Abstract Offshore wind turbines are subject not only to varying wind conditions during their lifetime, but also sea conditions. Therefore, in addition to wind speed, other sea-related quantities need to be considered to characterize a specific installation site. International standards suggest that, at a minimum, significant wave height, peak spectral period and wind/wave misalignment must be considered. In order to have a statistically significant description of the potential installation site, the long-term distributions of the three environmental variables must be determined. In this context, the objectives of the present work are twofold: firstly, to demonstrate the procedure trough which environmental conditions including wind and wave information can be derived using open-source tools. Secondly, an exemplary dataset is provided. The dataset is used both do demonstrate the procedure and provided as a ready-made example for use in future studies. The provided dataset is used in the EU-funded Horizon 2020 project FLOATECH.

  • Open Access
    Authors: 
    Eduardo Müller-Casseres; Alexandre Szklo; Clarissa Fonte; Francielle Carvalho; Joana Portugal-Pereira; Luiz Bernardo Baptista; Pedro Maia; Pedro R.R. Rochedo; Rebecca Draeger; Roberto Schaeffer;
    Project: EC | NAVIGATE (821124), EC | ENGAGE (821471)

    Aviation and shipping account for 22% of total transport-related CO2 emissions. Low-carbon fuels (such as biofuels and e-fuels) are the most promising alternatives to deeply decarbonize air and maritime transport. A number of technological routes focused on the production of renewable jet fuel can coproduce marine fuels, emulating the economies of scope of crude oil refineries. This work aims to investigate possible synergies in the decarbonization of aviation and shipping in Brazil, selected as an interesting case study. An Integrated Assessment Model (IAM) of national scope is used to explore different combinations of sectoral and national climate targets. This IAM represents not only the energy supply and transport systems but also the agricultural and land-use systems. In the absence of a deep mitigation policy for Brazil, results indicate synergies related to oilseed- and lignocellulosic-based biofuels production routes. Imposing a strict carbon budget to the Brazilian economy compatible with a world well below 2°C, the portfolio of aviation and shipping fuels changes significantly with the need for carbon dioxide removal strategies based on bioenergy. In such a scenario, synergies between the two sectors still exist, but most renewable marine energy supply is a by-product of synthetic diesel produced for road transport, revealing a synergy different from the one originally investigated by this work.

  • Open Access English
    Authors: 
    Rubio, Hugo; Gottschall, Julia;
    Publisher: Zenodo
    Project: EC | LIKE (858358)

    Ship-based lidar systems are a cost-efficient alternative for retrieving highly-reliable offshore wind data. However, the non-stationary nature of ship-mounted lidars hinders the comparison against reference datasets and, therefore, a straightforward characterization of the uncertainty levels associated with these sorts of measurements. For this reason, in this paper we have set up and report an analytical model for estimating the uncertainties of ship-based lidar measurements. The model follows the standard uncertainty propagation method considering the relevant parameters for assessing the wind speed from pulsed Doppler-lidar observations, such as the half cone opening angle, the radial velocity estimation, or the lidar beams' orientations. Additionally, the derivation of the presented uncertainty model contemplates the technology-specific variables and considerations like the ship linear velocity or tilting, as well as the implementation of a motion correction algorithm.