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        Chapter Developing Functionality in Perovskites from Abatement of Pollutants to Sustainable Energy Conversion and Storage 

        Bedon, A.; Glisenti, Antonella (2020)
        Different functionalities can be developed and optimised in perovskites by means of different approaches: doping, nanocomposition and exsolution. In our research, these strategies are used with the aim of a sustainable ...
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        Chapter Designing Heterogeneous-mHealth Apps for Cystic Fibrosis Adults 

        Vagg, Tamara; Fleming, C.; Shortt, C.; McCarthy, Mairead; Plant, Barry J.; Tabirca, Sabin (2020)
        In this chapter, we will discuss the design and development of a patient passport mHealth application for Cystic Fibrosis adults from ideation to app-store release. By allowing the patients access to their own unique data, ...
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        Chapter What We Learned from Cavitation Bubbles in Microgravity 

        Farhat, Mohamed (2020)
        The present chapter is about the Flash and Splash project, which is dedicated to the study of bubble dynamics in microgravity. The story of this project started in 2004 with a simple curiosity on how a cavitation bubble ...
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        Chapter The Ethical and Responsibility Components in Environmental Challenges: Elements of Connection between Corporate Social Responsibility and Social Impact Assessment 

        Coscia, Cristina (2020)
        The contribution constitutes a first exploratory outcome of an ongoing research by the Author on the issues of ethics and responsibility in investment processes, starting from the assumptions of the CSR approach. It makes ...
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        Chapter Leveraging Internet-of-Things to Support Circular Economy Paradigm in Manufacturing Industry 

        Pastrone, Claudio; Rossini, Rosaria; Pacelli, Giuseppe; Bosi, Ilaria; Ferrera, Enrico (2020)
        Circular economy represents a fundamental alternative to the currently predominating linear economy model, while Industry 4.0 is a technological enabler to bring process innovation in the industrial domain. New economic ...
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        Chapter Combined Deep Learning and Traditional NLP Approaches for Fire Burst Detection Based on Twitter Posts 

        Thanos, Konstantinos-George; Polydouri, Andrianna; Danelakis, Antonios; Kyriazanos, Dimitris; C.A. Thomopoulos, Stelios (2020)
        The current chapter introduces a procedure that aims at determining regions that are on fire, based on Twitter posts, as soon as possible. The proposed scheme utilizes a deep learning approach for analyzing the text of ...
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        Chapter Automation of the Expertise of the Roman Mosaic Arts in Constanta: Analytical and Statistical Models for a Fuzzy Inference-Based System 

        Ţurcanu-Caruțiu, Daniela; Ioniță, Silviu (2020)
        The biggest problem faced by the specialists in the field of cultural heritage is the identification of the original elements for their separation from the large mass of the mosaic components that come from completions of ...
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        Chapter The Use of Electrical Measurements of Wind Turbine Generators for Drive Train Condition Monitoring 

        Artigao, Estefania; Gómez-Lázaro, Emilio; Martín-Martínez, Sergio; Honrubia-Escribano, Andrés (2020)
        More modern and larger wind turbine (WT) generators are under continuous development. These exhibit more faults than smaller ones, which becomes critical offshore. Under this framework, operation and maintenance (O&M) is ...
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        Chapter The Multiple Roles of Tyrosinase-Related Protein-2/L- Dopachrome Tautomerase in Melanoma: Biomarker, Therapeutic Target, and Molecular Driver in Tumor Progression 

        Negroiu, Gabriela; Milac, Adina L. (2018)
        Cutaneous malignant melanoma (CMM), which is ranked as the 8th most common cancers in the US, makes 4–7% of skin cancers but it causes approximately 80% of skin cancer deaths. CMM is characterized by insidious and fast ...
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        Chapter Solid Biomass from Forest Trees to Energy: A Review 

        Cristina Gonçalves, Ana; Malico, Isabel; M. O. Sousa, Adélia (2019)
        Among the different terrestrial ecosystems, forests are the most important biomass carbon producers and the ones that store the most standing biomass carbon. Consequently, they are also the major source of biomass for ...
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        Chapter Sandfly-Borne Viruses of Demonstrated/Relevant Medical Importance 

        Charrel, Remi N.; Ayhan, Nazli (2019)
        Sandflies show distribution in a vast geographical area from Europe to Asia, Africa, Australia, and Central and South America where they can transmit a large number of viruses. Between these viruses, the most important are ...
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        Chapter Integrative Systems Biology Resources and Approaches in Disease Analytics 

        Fernandes, Marco; Husi, Holger (2019)
        Currently, our analytical competences are struggling to keep-up the pace of in-deep analysis of all generated large-scale data resultant of high-throughput omics platforms. While, a substantial effort was spent on methods ...
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        Chapter Noninvasive Modalities Used in Spinal Cord Injury Rehabilitation 

        del Ama-Espinosa, Antonio; Moreno, Juan; Laczko, Jozsef; Pascual-Valdunciel, Alejandro; Barroso, Filipe O.; Torricelli, Diego; L Pons, Jose (2019)
        In the past three decades, research on plasticity after spinal cord injury (SCI) has led to a gradual shift in SCI rehabilitation: the former focus on learning compensatory strategies changed to functional neurorecovery, ...
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        Chapter Preparing Proteoforms of Therapeutic Proteins for Top-Down Mass Spectrometry 

        Heikaus, Laura; Schlüter, Hartmut; Nurul Hidayah, Siti; Gaikwad, Manasi (2019)
        A characteristic of many proteoforms, derived from a single gene, is their similarity regarding the composition of atoms, making their analysis very challenging. Many overexpressed recombinant proteins are strongly associated ...
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        Chapter Life Cycle Inventory (LCI) Approach Used for Rare Earth Elements (REEs) from Monazite Material, Considering Uncertainty 

        Bieda, Bogusław; Sala, Dariusz (2019)
        This study describes the development of life cycle inventory (LCI) to rare earth elements (REEs) based on the secondary sources, conducted according to ISO 14040 (2006) guidelines. Monte Carlo (MC) simulation with the ...
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        Chapter Vector-Borne Infections in Bulgaria 

        Christova, Iva (2019)
        Bulgaria is an endemic country for Lyme borreliosis and Crimean-Congo hemorrhagic fever (CCHF). Sporadic cases of tick-borne encephalitis (TBE) and West Nile virus (WNV) encephalitis have been also reported. The reported ...
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        Chapter Behavioral Factors Affecting Reproduction in Domestic Horses: Sociobiological Approach 

        Bartošová, Jitka; Pluháček, Jan; Bartoš, Luděk (2019)
        Fetal loss is a common phenomenon in domestic horses, being usually highest (up to 40%) of all domestic ungulates. However, in all studies investigating this problem, sociobiological approach, such as conflict between the ...
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        Chapter Life Cycle Inventory (LCI) Modeling of Municipal Solid Waste (MSW) Management Systems in Kosodrza, Community of Ostrów, Poland: A Case Study 

        Bieda, Bogusław; Sala, Dariusz (2019)
        The purpose of this study is to perform the life cycle assessment (LCA) limited to life cycle inventory (LCI) related to municipal solid waste operating in Kosodrza, community of Ostrów, in Poland. The current LCI is a ...
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        Chapter From the Lab to the Real World: Affect Recognition Using Multiple Cues and Modalities 

        Gunes, Hatice; Piccardi, Massimo; Pantic, Maja; Or, Jimmy (2008)
        Interdisciplinary concept of dissipative soliton is unfolded in connection with ultrafast fibre lasers. The different mode-locking techniques as well as experimental realizations of dissipative soliton fibre lasers are ...
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        Chapter Mining Digital Music Score Collections: Melody Extraction and Genre Recognition 

        Iñesta, José M.; Ponce de León, Pedro J.; Rizo, David (2008)
        In the field of computer music, pattern recognition algorithms are very relevant for music information retrieval (MIR) applications. Two challenging tasks in this area are the automatic recognition of musical genre and ...
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        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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