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  • Publication . Part of book or chapter of book . 2021
    Closed Access
    Authors: 
    Maria Lodovica Gullino;
    Publisher: Springer International Publishing

    The common grapevine is a very ancient species. Fossils testify to the presence of wild grapevines in several parts of Europe already 500,000 years before Christ, and in 3,500 B.C. they used to eat its fruits.

  • Open Access
    Authors: 
    Fontana, Federica;
    Country: Italy

    Der Beitrag beschäftigt sich unter archäologischem Gesichtspunkt mit der Frage der „Verbindung“ – in all seinen unterschiedlichen Bedeutungen – im religiösen Bereich. Zwei Beispiele seien genannt: zum einen der Fall der Gottheit Epona, Schutzgöttin der Lasttiere, verbreitet in Italien und vielen Provinzen, zum anderen die architektonische Struktur des sog. Fanum bzw. gallisch-römischen Tempels, einem Gebäude mit zentralem Grundriss der v.a. in den gallischen, germanischen und Donau-Provinzen verbreitet war.

  • Publication . Part of book or chapter of book . 2019
    Closed Access
    Authors: 
    Sergio Nisticò;
    Publisher: Springer International Publishing

    Growth rates and factors measure the change of a variable through time. The growth factor is computed by dividing the value of a variable at the end of a period by the value it had at the beginning of the period. Knowing the growth factor and the initial value of a variable, we can identify its future value. The present value of a variable equals its value at the end of the period divided by its growth factor. The growth rate of a financial capital during a period measures its Internal Rate of Return (IRR). When financial capital evolves through several periods because of sequential cash flows of opposite sign, its IRR can be computed only by trial and error.

  • Publication . Part of book or chapter of book . 2016
    Open Access
    Authors: 
    Ciro Ciliberto; Maria Angelica Cueto; Massimiliano Mella; Kristian Ranestad; Piotr Zwiernik;
    Publisher: Springer International Publishing

    In this paper we present an effective method for linearizing rational varieties of codimension at least two under Cremona transformations, starting from a given parametrization. Using these linearizing Cremonas, we simplify the equations of secant and tangential varieties of some classical examples, including Veronese, Segre and Grassmann varieties. We end the paper by treating the special case of the Segre embedding of the n-fold product of projective spaces, where cumulant Cremonas, arising from algebraic statistics, appear as specific cases of our general construction.

  • Publication . Part of book or chapter of book . 2021
    Closed Access
    Authors: 
    Bianca Bellini;
    Publisher: Springer International Publishing

    The fact that we are able to reorchestrate ourselves in light of others’ influence or in light of a new comprehension regarding a deeper layer of ourselves entails two consequences: the possibility that our personal life is given to us in experience as a whole and the possibility that availability to self-reorchestration is not enough when the self-discovery at issue is devastating. The first part of the chapter deals with the former, the second part deals with the latter.

  • Publication . Part of book or chapter of book . 2014
    Closed Access
    Authors: 
    Elisa Giacosa;
    Publisher: Palgrave Macmillan UK

    We analysed the literature which assesses the tendency of family businesses to innovate, as shown by some scholars who state that entrepreneurial orientation is positively related to innovativeness. The various assertions developed in the theoretical background can be grouped into two categories: scholars who claim that family businesses are less attracted by innovative strategies than non-family businesses, and scholars who claim that family businesses are more attracted by innovative strategies than non-family businesses. We then analysed both innovation strategy and its individual phases, which are essential for a successful strategy in the luxury fashion business.

  • Closed Access
    Authors: 
    Sergio Ferlito; S. De Vito; G. Di Francia;
    Publisher: Springer International Publishing

    Solar energy from Photovoltaic (PV) systems is one of the greatest growing renewable sources of energy. PV systems, although generally quite robust, are subject to failures that can adversely affect energy conversion or even pose safety concerns. Being able to promptly and automatically detect fails/anomalies is essential to improve PV systems reliability while maintaining the expected efficiency. In this paper are investigated five unsupervised Machine Learning (ML) methods for PV plants’ faults detection. The tested methods include Isolation Forest (IF), one-Class Support Vector Machines, Local Outlier Factors, Deep Learning Autoencoders, Gaussian Mixtures Models (GMM). Dealing with anomalies in PV means to handle a highly unbalanced dataset, as anomalies are relatively rare events, hopefully. Moreover, it is usually quite challenging to have precise labels for each fault event. For this reason in this paper are analysed only unsupervised ML models, that does not require labelled data. However, being able to quantify models’ performance precisely is a quite challenging task as it requires expert support or labels existence, even if they can be imprecise. To accurately represents the model’s performance for such a highly unbalanced dataset are reported metrics more suitable for such a task as balanced accuracy, recall, F1, Matthews Correlation Coefficient and Cohen Kappa. For the reason outlined above regarding the available labels, the results summarised in this paper can be considered as preliminary and require a more suitable dataset with precise labels. These preliminary results show that GMM could be highly effective to operate in the PV anomaly detection field; however, some models as IF and Autoencoders, that have proven to be very effective in different but demanding fields, deserve further investigation.

  • Publication . Part of book or chapter of book . 2020
    Closed Access
    Authors: 
    Alessandro Russo; Michael G. McCusker; Katherine A. Scilla; Katherine E Arensmeyer; Ranee Mehra; Vincenzo Adamo; Christian D. Rolfo;
    Publisher: Springer International Publishing

    Over the last decade, we have witnessed a paradigm shift in cancer treatment, with the advent of novel therapeutic approaches that target or manipulate the immune system, also known as immunotherapy. Blocking immune checkpoints has emerged as an effective strategy with unprecedented results in several solid tumors, including lung cancer. Since 2012 when PD(L)-1 inhibitors showed first clinical signals of activity in lung cancer, immune checkpoint blockade (ICB) has emerged as a novel effective therapeutic strategy in different settings, determining a dramatic change in the therapeutic landscape of both non-small cell lung cancer (NSCLC) and, more recently, small cell lung cancer (SCLC). Although the benefit from this novel therapeutic approach is undeniable, several open questions still remain unanswered. Herein, we summarize the major breakthroughs in the immunotherapy journey in lung cancer and how it is changing our clinical practice.

  • Closed Access
    Authors: 
    Elisa Veronese; Silvia Visentin; Marius George Linguraru; Erich Cosmi; Enrico Grisan;
    Publisher: Springer International Publishing

    Intrauterine environment, and especially a mismatch between the early and later-life environments, is thought to induce epigenetic and morphological changes that may manifest in later life as an increased vulnerability to non communicable diseases as diabetes. Prenatal events, such as intrauterine growth restriction, as well as an increased risk of developing diabetes and cardiovascular alterations, have been shown to be associated with an increased intima-media thickness (aIMT) of the abdominal aorta in the fetus. To date its measure, has been performed manually on ultrasound fetal images by skilled practitioners.We present an automatic algorithm that identifies abdominal aorta and estimates its diameter and thickness from routine third trimester ultrasonographic fetal data, providing a correlation between end-diastole aIMT automatic and manual measures of 0.96, with a mean error of 0.02 mm, and a relative error of 3%.

  • Closed Access
    Authors: 
    Abdourahamane Tankari Dan-Badjo; Halima Oumarou Diadie; Sabrina Maria Rita Bonetto; Carlo Semita; Elena Isotta Cristofori; Anna Facello;
    Publisher: Springer International Publishing

    The seasonal effects of global warming and water shortages begin to be observed on agricultural production and forecast trends encourage studies on adaptation to climate change. In Niger, West Africa, farmers have always had to cope with irregularity and poor distribution of rainfall. In recent years, a variation in the frequency and duration of rainy season were observed, suddenly affecting a drop in agricultural productions with the resulting food crisis. Therefore, it is necessary to find measures to adapt to the climate variability. This study focus on the Tillaberi region (Niger) where pearl millet is one of the main agricultural product. In the last few years, variations in rainfall distribution and quantity have negatively influenced the yield of the millet crops. A climatic assessment of the region has been verified collecting information from both previous studies and satellite data. Two early improved varieties of pearl millet (SOSAT-C88 and HKP) drought resistant have been distributed to local farmers in 16 pilot areas of the Tillaberi region and the crop yields were compared to those of the local traditional variety cultivated in the same area. The results have identified a significant increase in production, up to 62%, with the improved varieties compared to the local one. These results suggests the possibility of a potential extension, in this region, of improved varieties to mitigate the effects derived by climate change in the agricultural productivity in order to avoid famine and guarantee food security.

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