324 research outputs found
Economic factors affecting obesity: an application in Italy
No full textThe World Health Organization has stated that obesity is spreading around the world like a “global epidemic”. In 2004 the percentage of obese people in the Italian population was 9%, but the trend s increasing in recent years. Focusing on this country, the purpose of the paper is to analyze the socio-economic variables affecting obesity by means of a survey conducted in a consumer sample. Our analysis is based on a survey conducted in Italy, and the sample was composed of 999 consumers. We used a binary logit model and the dependent variable is body mass index (BMI), expressed in a dichotomic way (seriously overweight and obese, value 1, and normal weight, value 0). The results show that the condition of the seriously overweight and obese increases with age, especially in people over 65 of age. Also gender is correlated with the pathology: being seriously overweight and obese is far more likely for men than for women. An inverse relation was shown between obesity and education, and between obesity and the level of food knowledge. The results highlight that disadvantaged social categories are more susceptible to the problem of overweight and obesity. A policy implication of the analysis, to limit the spread of obesity, could lie in programs aimed at improving health and food awareness and focused on these minority groups.economics of obesity, BMI and consumer, logit model, Food Consumption/Nutrition/Food Safety, Health Economics and Policy,
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No full textDetecting pathogens and mounting immune responses upon infection is crucial for animal health. However, these responses come at a high metabolic price (McKean and Lazzaro, 2011, Kominsky et al., 2010), and avoiding pathogens before infection may be advantageous. The bacterial endotoxins lipopolysaccharides (LPS) are important immune system infection cues (Abbas et al., 2014), but it remains unknown whether animals possess sensory mechanisms to detect them prior to infection. Here we show that Drosophila melanogaster display strong aversive responses to LPS and that gustatory neurons expressing Gr66a bitter receptors mediate avoidance of LPS in feeding and egg laying assays. We found the expression of the chemosensory cation channel dTRPA1 in these cells to be necessary and sufficient for LPS avoidance. Furthermore, LPS stimulates Drosophila neurons in a TRPA1-dependent manner and activates exogenous dTRPA1 channels in human cells. Our findings demonstrate that flies detect bacterial endotoxins via a gustatory pathway through TRPA1 activation as conserved molecular mechanism.sponsorship: Vlaams Instituut voor Biotechnologie Alessia Soldano Luis Franco Guangda Liu Natalia Mora Emre Yaksi Bassem A Hassanr Fonds Wetenschappelijk Onderzoek G.0702.12 Alessia Soldano Yeranddy A Alpizar Brett Boonen Alejandro Lopez-Requena Natalia Mora Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talaverar Fonds Wetenschappelijk Onderzoek G.0077.15 Alessia Soldano Yeranddy A Alpizar Brett Boonen Alejandro Lopez-Requena Natalia Mora Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talaverar Fonds Wetenschappelijk Onderzoek G.0680.10 Alessia Soldano Yeranddy A Alpizar Brett Boonen Alejandro Lopez-Requena Natalia Mora Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talaverar Fonds Wetenschappelijk Onderzoek G.0681.10 Alessia Soldano Yeranddy A Alpizar Brett Boonen Alejandro Lopez-Requena Natalia Mora Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talaverar Fonds Wetenschappelijk Onderzoek G.0503.12 Alessia Soldano Yeranddy A Alpizar Brett Boonen Alejandro Lopez-Requena Natalia Mora Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talaverar Fonds Wetenschappelijk Onderzoek G.0654.15 Alessia Soldano Yeranddy A Alpizar Brett Boonen Alejandro Lopez-Requena Natalia Mora Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talaverar Fonds Wetenschappelijk Onderzoek G.0761.10N Alessia Soldano Yeranddy A Alpizar Brett Boonen Alejandro Lopez-Requena Natalia Mora Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talaverar Fonds Wetenschappelijk Onderzoek G.0596.12 Alessia Soldano Yeranddy A Alpizar Brett Boonen Alejandro Lopez-Requena Natalia Mora Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talaverar Fonds Wetenschappelijk Onderzoek G.0565.07 Alessia Soldano Yeranddy A Alpizar Brett Boonen Alejandro Lopez-Requena Natalia Mora Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talaverar KU Leuven GOA/14/011 Alessia Soldano Yeranddy A Alpizar Brett Boonen Luis Franco Alejandro Lopez-Requena Guangda Liu Natalia Mora Emre Yaksi Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talaverar European Commission IUAP P7/13 Alessia Soldano Yeranddy A Alpizar Brett Boonen Luis Franco Alejandro Lopez-Requena Guangda Liu Natalia Mora Emre Yaksi Thomas Voets Rudi Vennekensr KU Leuven OT/12/091 Alessia Soldano Yeranddy A Alpizar Brett Boonen Luis Franco Alejandro Lopez-Requena Guangda Liu Natalia Mora Emre Yaksi Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talaverar KU Leuven PF-TRPLe Alessia Soldano Yeranddy A Alpizar Brett Boonen Luis Franco Alejandro Lopez-Requena Guangda Liu Natalia Mora Emre Yaksi Thomas Voets Rudi Vennekens Bassem A Hassan Karel Talavera (Vlaams Instituut voor Biotechnologie, Fonds Wetenschappelijk Onderzoek|G.0702.12, Fonds Wetenschappelijk Onderzoek|G.0077.15, Fonds Wetenschappelijk Onderzoek|G.0680.10, Fonds Wetenschappelijk Onderzoek|G.0681.10, Fonds Wetenschappelijk Onderzoek|G.0503.12, Fonds Wetenschappelijk Onderzoek|G.0654.15, Fonds Wetenschappelijk Onderzoek|G.0761.10N, Fonds Wetenschappelijk Onderzoek|G.0596.12, KU Leuven|GOA/14/011, KU Leuven|OT/12/091, European Commission|IUAP P7/13, KU Leuven PF-TRPLe)status: Publishe
Semantically Enhanced UAVs to Increase the Aerial Scene Understanding
No full textVisual tracking supported by unmanned aerial vehicles (UAVs) has generated a lot of interest in recent years, especially in application domains such as surveillance, search for missing persons and traffic monitoring. The major challenges in visual tracking with small UAVs arise in the form of target representation, target appearance change, target detection and localization in real time computation. Reliable target detection depends on factors such as occlusions, image noise, illumination and pose changes, or image blur that may compromise the object labeling. To mitigate these issues, this paper proposes a hybrid solution: along with the tracked objects, scenes are completely depicted by adding contextual information, i.e., data describing places, natural features, or in general points of interest. Each scenario indeed is semantically described by ontological statements that define the context and then, by inference, support the object tracking task in the object identification and labeling. The synergy between the tracking methods and semantic modeling can bridge the object labeling gap, enhancing the scene understanding and awareness when alarming situations are discovered. Experimental results are promising and confirm the applicability of the proposed framework in supporting drones in object identification and critical situation detection tasks
A human-like description of scene events for a proper UAV-based video content analysis
No full textIn Video Surveillance age, the monitoring activity, especially from unmanned vehicles, needs some degree of autonomy in the scenario interpretation. Video Analysis tasks are crucial for the target tracking and recognition; anyway, it would be desirable if a further level of understanding could provide a comprehensive, high-level scene description, by reflecting that human cognitive capability of providing a concise scene description that comes from the analysis of involved objects relationships and actions. This paper presents a smart system to identify mobile scene objects, such as people, vehicles, automatically, by analyzing the videos acquired by drones in flight, along with the activities they carried out, so as to depict what it happens in the scene from a high-level perspective. The system uses Artificial Vision methods to detect and track the mobile objects and the area where they move, and Semantic Web technologies to provide a high-level description of the scenario. Spatio/temporal relations among the tracked objects as well as simple object activities (events) are described. By semantic reasoning, the system is able to connect the simple activities into more complex activities, that better reflect a human-like description of a scenario portion. Tests conducted on several videos, showing scenarios set in different environments, return convincing results which affirm the effectiveness of the proposed approach
Enhancing bending and compression resistance of additively manufactured bio-inspired architected structures
No full textTo tackle the challenge of optimizing structural performance and minimizing weight, this research explores the potential of multi-scale bio-inspired design principles in combination with 3D printing. Besides, multi-objective genetic algorithm-based optimization strategies are applied to enhance structure bending and compression resistance. Hollow cylinders, commonly used in piping, structural supports, and biomedical implants, are ideal for this approach as reducing their weight often compromises stiffness and stability, highlighting the need for new design strategies. Herein, the successful combination of bio-inspiration, including plant- and animal-based solutions, and multi-objective optimization plays a core role in the architected structure design to minimize volume and maximize reaction force. Among the various bio-inspired models evaluated, the Horsetail structure has emerged as the most effective, demonstrating 100% increase in the reaction force under bending loads, a 40% improvement in maximum displacement before instability, and a 20% increase in compressive resistance if compared to the reference hollow cylinder. Validation through a combined experimental and numerical approach confirms the accuracy and reliability of the developed models. The successful application of the Material Extrusion process to fabricate these bio-inspired structures proves their practical feasibility. Here, integrating these optimized designs into real-world applications can replace conventional cylindrical pylons with lighter, load-optimized 3D-printed alternatives
A Simulated Analysis of the Lubrication Circuit of an In-Line Twin Automotive Engine
No full textIn recent years, the need to optimize the performance and reduce exhaust emissions of internal combustion engines has caused the design of the auxiliary (like lubrication and cooling pumps) to assume a particular importance. This is especially due to the necessity to obtain higher efficiency with less expense in terms of work assigned to these organs. With respect to the lubrication circuit, this means the use of solutions that allow the optimization of the fluid dynamics of both the ducts and the pump.
This work is based on a simulated analysis carried out on the lubrication circuit of a light duty internal combustion engine, developed by Fiat and equipped with a hydraulic VVT system.
The lubrication circuit model was build up with the commercial 1D code LMS Imagine.Lab AMESim®, developed by LMS® (a Siemens Business division) with the aim to estimating the variation of the oil consumption of the circuit components (crankshaft bearings, piston cooling jets, etc.) with varying engine speed, load and oil temperature.
The simulation model reproduced all the lubrication circuit components and ducts. Special attention was dedicated to the detailed modelling of the pump by simulating its volume variation during the pump shaft revolutions. The oil was also modeled taking into account the variation in viscosity with changes in temperature and cavitation phenomena.
The complete model was validated with experimental data (oil pressure/flow rate) achieved in the course of experiments performed on the test bench of a manufacturer's engine.
The model allowed the simulation of several engine running conditions, including idle, in order to obtain a map of the oil consumption of the different circuit users in different conditions.
An investigation was carried out to analyze and identify the causes underlying pressure oscillations, observed during the first experimental tests in idle condition, by studying the oil consumption of each component during an engine cycle
Social Network to analyse the relationship between ‘victim-author’ and ‘motivation’ of violence against women in Italy.
No full textThe paper aims to analyse the phenomenon of Violence against women in the Italian context during 2020. It proposes to study the relationship between ‘victim-author’ and ‘motivation’ in femicides committed in domestic environment. By means of the properties of the Social Network Analysis on bimodal data, the study detected main actors and motivations that generated the homicides with female victims. At the same time, the structural relationships allowed to investigate the existence of motivations that better characterized the action of the various actors. The bipartite graph visualization and centrality scores calculated have demonstrated the effectiveness of the methodology for the pursued objectives
Louis-Philippe Dalembert, «vagabond jusqu’au bout de la fatigue»
No full textThe Haitian novelist and poet Louis-Philippe Dalembert (Port-au-Prince, 1962) has developed in his works of fiction the concept of vagabondage as a literary projection of his biographical wandering through multiple spaces. The aim of this essay is to study the presence of vagabondage and its distinctive features in those novels written by Dalembert that reflect the writer’s perpetual motion: Le Crayon du bon Dieu n’a pas de gomme (1996), L’Autre face de la mer (1998), L’Île du bout des rêves (2003), Les dieux voyagent la nuit (2006). The main characters are constantly moving, they are cosmopolitan wanderers who belong to many places at the same time, just like Dalembert himself. By analyzing the representation of movement in these fictions, we will show that the notion of vagabondage is depicted by the author as a positive and meaningful opportunity for the vagabond who travels across countries, languages and cultures
Una ridiscussione dei concetti di home e identity nell’Asia globalizzata: il caso di These Foolish Things (2004) e How to Get Filthy Rich in Rising Asia (2013)
No full textThe evolution of postcolonial studies in the last thirty years and the development of a transnational approach in literary studies (Jay 2010) have led to a renewed interest towards the subaltern voices, especially in relation to the phenomena of migration and diaspora and their global effects. In this light, the idea of 'home' is characterized by a sort of porosity and by a new geographical and emotional conceptualization which inevitably influences the personal and collective identities of migrant communities.
The aim of the paper is to analyze these topics from a cultural and literary standpoint through the examination of the two different kinds of migrant flows and postcolonial scenarios depicted in These Foolish Things (2004) by the English author Deborah Moggach, and How to Get Filthy Rich in Rising Asia (2013) by the Pakistan novelist Mohsin Hamid. In these novels, the chaotic Indian framework – the former margin of the British empire – is torn between its colonial past and the current effects of the permeability of its borders. It is, therefore, a perfect global context, wherein the experiences and the feelings of the modern Indian identities are reinterpreted by the two authors
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