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        Chapter A New Method to Reconstruct Recent Tree and Stand Attributes of Temporary Research Plots: New Opportunity to Analyse Mixed Forest Stands 

        Andreas Thurm, Eric; Wellhausen, Klaas; Pretzsch, Hans; Perkins, Diana; Uhl, Enno; Heym, Michael; Steckel, M.; Bielak, Kamil (2018)
        In the last decades, studying effects of mixing tree species is increasingly important. In particular, under changing growing conditions and social requirements, investigations on mixed forest compared to mono-specific ...
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        Chapter Effects of Water Scarcity on the Performances of the Agricultural Sector and Adaptation Strategies in Tunisia 

        Chebil, Ali; Jebari, Sihem; Thabet, Chokri; Frija, Aymen; Makhlouf, Mariem (2019)
        The chapter aims to develop a regionally disaggregated agricultural supply model for Tunisia in order to investigate the potential effects of increasing water scarcity on the performances of the agricultural sector in the ...
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        Chapter Potentials and Challenges of Additive Manufacturing Technologies for Heat Exchanger 

        Scheithauer, Uwe; Kordaß, Richard; Noack, Kevin; F. Eichenauer, Martin; Hartmann, Mathias; Abel, Johannes; Ganzer, Gregor; Lordick, Daniel (2019)
        The rapid development of additive manufacturing (AM) technologies enables a radical paradigm shift in the construction of heat exchangers. In place of a layout limited to the use of planar or tubular starting materials, ...
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        Chapter Additive Manufacturing Applied to the Design of Small Satellite Structure for Space Debris Reduction 

        Caparrós, Andrés; Becedas, Jonathan (2019)
        Space debris has become a major aspect in the last few years. The vast amount of artificial objects orbiting the Earth is increasing. These objects are a threat for active and future missions. Besides, the possibility of ...
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        Chapter Introductory Chapter: Why Do We Need Rapid Detection of Pathogens? 

        Kivirand, Kairi; Rinken, Toonika (2018)
        Biotechnology
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        Chapter Introductory Chapter: Agricultural Waste as a Source of Raw Materials 

        Aladjadjiyan, Anna (2018)
        Agricultural science
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        Chapter Estimating the Effect of Voters’ Media Awareness on the 2016 US Presidential Election 

        Gallego, Maria; Dique, Lauren (2019)
        We examine whether voter media awareness of the 2016 US Presidential election campaign influenced the election using a logit model to estimate the probability that a voter with certain characteristics votes for one of the ...
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        Chapter Machine Learning in Volcanology: A Review 

        Carniel, Roberto; Guzmán, Silvina (2020)
        A volcano is a complex system, and the characterization of its state at any given time is not an easy task. Monitoring data can be used to estimate the probability of an unrest and/or an eruption episode. These can include ...
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        Chapter Machine Learning Techniques to Mitigate Nonlinear Phase Noise in Moderate Baud Rate Optical Communication Systems 

        Bogoni, A.; Fern&#225, o; ndez, E.; C&#225, a; rdenas Soto, A.; Guerrero Gonzalez, N.; Serafino, G.; Ghelfi, P. (2020)
        Nonlinear phase noise (NLPN) is the most common impairment that degrades the performance of radio-over-fiber networks. The effect of NLPN in the constellation diagram consists of a shape distortion of symbols that increases ...
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        Chapter Business Process Linguistic Modeling: Theory and Practice Part I: BPLM Strategy Creator 

        Jozef, Stašák; Jaroslav, Kultan; Peter, Schmidt; Abu, Urinbasarovich (2020)
        The business activities provided within any firm or company should be checked and controlled continuously, while two principal approaches should be applied: (a) qualitative monitoring, (b) quantitative evaluations, while ...
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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        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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