1,870 research outputs found
Soft drink and obesity
No full textDoes the prevalence of obesity affect the demand for soft drinks?
Evidence from cross-country panel data
Fabrizio Ferretti, Michele Mariani and Elena Sarti
School of Social Sciences, University of Modena and Reggio Emilia.
Corresponding author: Fabrizio Ferretti
Email: [email protected] ORCID: https://orcid.org/0000-0002-7865-9572
Department of Communication and Economics, Viale Allegri 9, 42121 Reggio Emilia, Italy.
Including the following tables:
Table 1. List of variables
Table 2. Soft drink consumption per capita, QSD (litres/person/year)
Table 3. Prevalence of obesity, OBE (BMI ≥ 30 kg/m2. Age-stand. rate, both sexes, 18+ years, %)
Table 4. Soft drink price, PSD (average per litre PPP, constant 2017 international )
Table 6. Bottled still and carbonated water price, PWA (average per litre PPP, constant 2017 international )
Table 15. Non-carbonated soft drink price, PNC (average per litre PPP, constant 2017 international $
Multitemporal Volume Registration for the Analysis of Rheumatoid Arthritis Evolution in the Wrist
No full textThis paper describes a method based on an automatic segmentation process to coregister carpal bones of the same patient imaged at different time points. A rigid registration was chosen to avoid artificial bone deformations and to allow finding eventual differences in the bone shape due to erosion, disease regression, or other eventual pathological signs. The actual registration step is performed on the basis of principal inertial axes of each carpal bone volume, as estimated from the inertia matrix. In contrast to already published approaches, the proposed method suggests splitting the 3D rotation into successive rotations about one axis at a time (the so-called basic or elemental rotations). In such a way, singularity and ambiguity drawbacks affecting other classical methods, for instance, the Euler angles method, are addressed. The proposed method was quantitatively evaluated using a set of real magnetic resonance imaging (MRI) sequences acquired at two different times from healthy wrists and by choosing a direct volumetric comparison as a cost function. Both the segmentation and registration steps are not based on a priori models, and they are therefore able to obtain good results even in pathological cases, as proven by the visual evaluation of actual pathological cases
Soft drink and obesity
No full textSoft drinks and obesity
Fabrizio Ferretti, Michele Mariani and Elena Sarti
School of Social Sciences, University of Modena and Reggio Emilia.
Corresponding author: Fabrizio Ferretti
Email: [email protected] ORCID: https://orcid.org/0000-0002-7865-9572
Department of Communication and Economics, Viale Allegri 9, 42121 Reggio Emilia, Italy.
Including the following tables:
Table 1. List of variables
Table 2. Soft drink consumption per capita, QSD (litres/person/year)
Table 3. Prevalence of obesity, OBE (BMI ≥ 30 kg/m2. Age-stand. rate, both sexes, 18+ years, %)
Table 4. Soft drink price, PSD (average per litre PPP, constant 2017 international )
Table 6. Bottled still and carbonated water price, PWA (average per litre PPP, constant 2017 international )
Table 15. Non-carbonated soft drink price, PNC (average per litre PPP, constant 2017 international $
Geographies of Federalism during the Italian Risorgimento, 1796-1900
No full text"Ferretti pushes the debate about the radical-democratic strands in Italian Unification (the Risorgimento) beyond the usual oppositions -republicanism v. socialism, centralism v. federalism - to consider how much the contentions of the time extended to consideration of authoritarianism, militarism, and colonialism rather than just administrative arrangements per se. In taking a fundamentally geographical approach to the debate, Ferretti not only provides a new perspective on the radical impulses in the Risorgimento but also contributes to the contemporary rethinking of nation-statehood, territorial sovereignty, and the possibilities of transnational federalism. Perhaps most importantly, this book shows that the form which Italian unification took was never a foregone conclusion. There is a broader lesson here."
John Agnew, Professor of Geography, University of California Los Angeles, USA
Combining intellectual history, geography and political science, this book addresses the relations between geography and the federalist tendencies of key individuals during the nineteenth-century Italian Risorgimento. The book investigates the development of transnational federalist attitudes amongst a political network of intellectuals, and hones in on several understudied figures who played important roles in the Italian radical movements for national and social liberation. Notably, this includes political geographers who mobilised geographical metaphors to foster change and reorganise territories. The author demonstrates how federalism, anarchism and republicanism were all connected and led not only to autonomy in Italy, but more locally within its regions and municipalities, and more broadly across Europe over the ‘Long Risorgimento’ period. Contributing to current debates on federalism and anti-colonialism, this book will appeal to historical geographers, political scientists and those researching the history of federalism, republicanism and anarchism in Europe
On helping broadcasters to promote TV-shows through hashtags
No full textTelevision is no longer the king of the living room: 86% of people watch TV with a second screen in the nearby and more than 30% of the attention time is given to the second device to perform social activities. Therefore, the television industry is facing a new challenge: find a way to re-catch viewers’ attention. A recent and popular approach considers the use of official hashtags to implement a cross-media strategy that will connect different contents across multiple media. Since the simple proposition of official hashtags is not sufficient to guarantee the success of a cross media strategy, in this paper, we analyze how official hashtags are used and we propose a model to write tweets effectively. The model is based on the analysis of more than 250,000 tweets that talk about TV-shows. In particular, (i) we analyze the availability and visibility of official hashtags, (ii) we study the tweets characteristics written by the most retweeted authors, and (iii) we build a network of hashtags in order to understand how users use official hashtags. The obtained results allowed us to define guidelines to help broadcasters in the promotion of TV-shows and in the engagement of viewers
Color Spaces in Data Fusion of Multi-temporal Images
No full textThe data fusion process is strongly recommended in biomedical applications. It allows a better detection and localization of the pathology, as well as the diagnosis and follow-up of many diseases [1], especially with multi-parametric or multi-temporal data.
The independent visualization of multiple images from large volumes is a main cause of errors and inaccuracy within the interpretation process. In this respect, the use of color fusion methods allows to highlight small details from multi-temporal and multi-parametric images.
In the present work, a color data fusion approach is proposed for multi-temporal images, in particular for images of the liver acquired through triphasic CT.
The best color association has been studied considering various data sources. Different metrics for quality assessment have been selected from the color space theory, making an interesting comparison with the human visual perception
Multi-temporal MRI carpal bone volumes analysis by principal axes registration
No full textabstract
In this paper, a principal axes registration technique is presented, with the relevant application to segmented volumes. The purpose of the proposed registration is to compare multi-temporal volumes of carpal bones from Magnetic Resonance Imaging (MRI) acquisitions. Starting from the study of the second-order moment matrix, the eigenvectors are calculated to allow the rotation of volumes with respect to reference axes. Then the volumes are spatially translated to become perfectly overlapped.
A quantitative evaluation of the results obtained is carried out by computing classical indices from the confusion matrix, which depict similarity measures between the volumes of the same organ as extracted from MRI acquisitions executed at different moments. Within the medical field, the way a registration can be used to compare multi-temporal images is of great interest, since it provides the physician with a tool which allows a visual monitoring of a disease evolution.
The segmentation method used herein is based on the graph theory and is a robust, unsupervised and parameters independent method. Patients affected by rheumatic diseases have been considered. © (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only
«Il salto degli Orlandi» (e quello dei Marchi)
No full textIl saggio analizza una delle prime prove del Marco Santagata narratore: il racconto intitolato "Il salto degli Orlandi", il quale ha avuto due edizioni corrispondenti a due diverse redazioni (la prima in rivista, su «Paragone. Letteratura», s. III, XLIX, 17-18, 1998, pp. 36-65; la seconda in un volume a sé, Palermo, Sellerio 2007, pp. 115-66, che porta lo stesso titolo e raccoglie tre racconti precedentemente editi). Confrontando sobriamente le due versioni del testo, se ne analizza l’intreccio di natura fortemente metaletteraria (il racconto è fondato sulle ipotetiche peripezie extra-testuali dei due Orlandi: quello di Boiardo e quello di Ariosto), mostrando come esso ci aiuti a comprendere la complementarità tra i due versanti dell’attività letteraria di Marco Santagata (1947-2020), lo studioso e il narratore
FAIR data and Marine Robotics
No full text<p>A solid understanding of the ocean functioning is now more important than ever. With the advent of the UN Decade of Ocean Science for Sustainable Development and the boost of marine technology, now we have access to groundbreaking observations. Novel robotics can shed light on unexplored marine areas and unlock the observation of pristine environments leaving no trace behind. Pioneering ocean robots are filling the observational gap in marine sciences by collecting a growing amount of original data. These innovative, non-standard robotic platforms, including autonomous underwater vehicles (AUVs) and surface vehicles (ASVs), are developed to overcome environmental constraints or meet specific requirements, such as working in critical polar environments, transitional waters, and areas characterized by very shallow water conditions, where conventional data collection techniques are often ineffective or non-usable. With the increasing expansion of marine robotics applications and the growing number of research groups collecting vast amounts of data, the implementation of FAIR principles becomes of fundamental importance, especially for datasets encompassing both environmental and robotic data and metadata. Implementing FAIR principles in managing these data will facilitate greater accessibility and sharing among experts, enhancing cooperation and collaboration in the field of marine robotics, contributing to mission safety improvement, ensuring greater accuracy and reliability of data and results, which constitute a crucial contribution to global marine research and conservation efforts.</p><p>The marine robotics group at CNR INM in Genoa has decades of experience in developing highly modular and reconfigurable autonomous robotic platforms that enable access and monitoring in critical environments and in their use during experimental data acquisition campaigns. Moreover, the increasing use of robotic platforms as technological enablers for innovative services addressed to diverse stakeholders, including research groups as well as SMEs, authorities and administrations, and the public community and citizens, is leading to the recording of big volumes of data. To harness their potential effectively, a change of perspective is underway within the CNR INM robotics group, emphasizing the centrality of the data and their management through the application of FAIR principles.</p><p>This contribution will outline the efforts of the CNR INM group in developing and implementing a framework for the acquisition and management of environmental and robotic datasets, enabling the generation of integrated "FAIR by default" data. The purpose of this work, which recognizes the centrality of data through the implementation of the FAIR principles, is to facilitate the storage and long-term preservation, sharing, and reuse of these datasets. This will elevate both their scientific value and the potential to formulate more sustainable management strategies for the marine environment, fundamental for the health of the planet and of the well being of the people.</p>
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