Motion for cooperation and vitality in Human-robot interaction

In social interactions, human movement is a rich source of information for all those who take part in the collaboration. In fact, a variety of intuitive messages are communicated through motion and continuously inform the partners about the future unfolding of the actions. A similar exchange of implicit information could support movement coordination in the context of Human-Robot Interaction. Also the style of an action, i.e. the way it is performed, has a strong influence on interaction between humans. The same gesture has different consequences when it is performed aggressively or kindly, and humans are very sensitive to these subtle differences in others\u2019 behaviors. During the three years of my PhD, I focused on these two aspects of human motion. In a firs study, we investigated how implicit signaling in an interaction with a humanoid robot can lead to emergent coordination in the form of automatic speed adaptation. In particular, we assessed whether different cultures \u2013 specifically Japanese and Italian \u2013 have a different impact on motor resonance and synchronization in HRI. Japanese people show a higher general acceptance toward robots when compared with Western cultures. Since acceptance, or better affiliation, is tightly connected to imitation and mimicry, we hypothesized a higher degree of speed imitation for Japanese participants when compared to Italians. In the experimental studies undertaken both in Japan and Italy,we observed that cultural differences do not impact on the natural predisposition of subjects to adapt to the robot. In a second study, we investigated how to endow a humanoid robot with behaviors expressing different vitality forms, by modulating robot action kinematics and voice. Drawing inspiration from humans, we modified actions and voice commands performed by the robot to convey an aggressive or kind attitude. In a series of experiments we demonstrated that the humanoid was consistently perceived as aggressive or kind. Human behavior changed in response to the different robot attitudes and matched the behavior of iCub, in fact participants were faster when the robot was aggressive and slower when the robot was gentle. The opportunity of humanoid behavior to express vitality enriches the array of nonverbal communication that can be exploited by robots to foster seamless interaction. Such behavior might be crucial in emergency and in authoritative situations in which the robot should instinctively be perceived as assertive and in charge, as in case of police robots or teachers

Geo-neutrinos: a new probe of Earth's interior

In preparation to the experimental results which will be available in the future, we study geo-neutrino production for different models of mantle convection and composition. By using global mass balance for the Bulk Silicate Earth, the predicted flux contribution from distant sources in the crust and in the mantle is fixed within a total uncertainty of +-15%. We also discuss regional effects, provided by subducting slabs or plumes near the detector. In four years a five-kton detector operating at a site relatively far from nuclear power plants can achieve measurements of the geo-neutrino signal accurate to within +-5%. It will provide a crucial test of the Bulk Silicate Earth and a direct estimate of the radiogenic contribution to terrestrial heat.Comment: 19 pages, 6 tables, 7 figures; accepted for publication in Earth and Planetary Science Letter

Universal divergenceless scaling between structural relaxation and caged dynamics in glass-forming systems

On approaching the glass transition, the microscopic kinetic unit spends increasing time rattling in the cage of the first neighbours whereas its average escape time, the structural relaxation time $\tau_\alpha$, increases from a few picoseconds up to thousands of seconds. A thorough study of the correlation between $\tau_\alpha$ and the rattling amplitude, expressed by the Debye-Waller factor (DW), was carried out. Molecular-dynamics (MD) simulations of both a model polymer system and a binary mixture were performed by varying the temperature, the density $\rho$, the potential and the polymer length to consider the structural relaxation as well as both the rotational and the translation diffusion. The simulations evidence the scaling between the $\tau_\alpha$ and the Debye-Waller factor. An analytic model of the master curve is developed in terms of two characteristic length scales pertaining to the distance to be covered by the kinetic unit to reach a transition state. The model does not imply $\tau_\alpha$ divergences. The comparison with the experiments supports the numerical evidence over a range of relaxation times as wide as about eighteen orders of magnitude. A comparison with other scaling and correlation procedures is presented. The study suggests that the equilibrium and the moderately supercooled states of the glassformers possess key information on the huge slowing-down of their relaxation close to the glass transition. The latter, according to the present simulations, exhibits features consistent with the Lindemann melting criterion and the free-volume model.Comment: 8 pages, 11 figure

Cultural differences in speed adaptation in human-robot interaction tasks

AbstractIn social interactions, human movement is a rich source of information for all those who take part in the collaboration. In fact, a variety of intuitive messages are communicated through motion and continuously inform the partners about the future unfolding of the actions. A similar exchange of implicit information could support movement coordination in the context of Human-Robot Interaction. In this work, we investigate how implicit signaling in an interaction with a humanoid robot can lead to emergent coordination in the form of automatic speed adaptation. In particular, we assess whether different cultures – specifically Japanese and Italian – have a different impact on motor resonance and synchronization in HRI. Japanese people show a higher general acceptance toward robots when compared with Western cultures. Since acceptance, or better affiliation, is tightly connected to imitation and mimicry, we hypothesize a higher degree of speed imitation for Japanese participants when compared to Italians. In the experimental studies undertaken both in Japan and Italy, we observe that cultural differences do not impact on the natural predisposition of subjects to adapt to the robot

The perception of a robot partner’s effort elicits a sense of commitment to human-robot interaction

Previous research has shown that the perception that one’s partner is investing effort in a joint action can generate a sense of commitment, leading participants to persist longer despite increasing boredom. The current research extends this finding to human-robot interaction. We implemented a 2-player version of the classic snake game which became increasingly boring over the course of each round, and operationalized commitment in terms of how long participants persisted before pressing a ‘finish’ button to conclude each round. Participants were informed that they would be linked via internet with their partner, a humanoid robot. Our results reveal that participants persisted longer when they perceived what they believed to be cues of their robot partner’s effortful contribution to the joint action. This provides evidence that the perception of a robot partner’s effort can elicit a sense of commitment to human-robot interaction

Senecavirus A seroprevalence and risk factors in United States pig farms

Senecavirus A (SVA) is a non-enveloped, single-stranded, positive-sense RNA virus belonging to the Picornaviridae family. Senecavirus A is constantly associated with outbreaks of vesicular disease in pigs and has been reported in several countries since its first large-scale outbreak in 2014. Senecavirus A’s clinical disease and lesions are indistinguishable from other vesicular foreign animal diseases (FAD). Therefore, an FAD investigation needs to be conducted for every SVA case. For this reason, SVA has been attributed as the cause of an alarming increase in the number of yearly FAD investigations performed by the United States Department of Agriculture (USDA). The objectives of this study were to estimate the seroprevalence of SVA antibodies in breeding and growing pig farms in the United States and to determine the farm-level risk factors associated with seropositivity. A total of 5,794 blood samples were collected from 98 and 95 breeding and growing pig farms in 17 states. A farm characteristics questionnaire was sent to all farms, to which 80% responded. The responses were used to conduct logistic regression analyses to assess the risk factors associated with SVA seropositivity. The estimated farm-level seroprevalences were 17.3% and 7.4% in breeding and growing pig farms, respectively. Breeding farms had 2.64 times higher odds of SVA seropositivity than growing pig farms. One key risk factor identified in breeding farms was the practice of rendering dead animal carcasses. However, the adoption of a higher number of farm biosecurity measures was associated with a protective eect against SVA seropositivity in breeding farms.info:eu-repo/semantics/publishedVersio

Senecavirus A seroprevalence and risk factors in United States pig farms

Senecavirus A (SVA) is a non-enveloped, single-stranded, positive-sense RNA virus belonging to the Picornaviridae family. Senecavirus A is constantly associated with outbreaks of vesicular disease in pigs and has been reported in several countries since its first large-scale outbreak in 2014. Senecavirus A's clinical disease and lesions are indistinguishable from other vesicular foreign animal diseases (FAD). Therefore, an FAD investigation needs to be conducted for every SVA case. For this reason, SVA has been attributed as the cause of an alarming increase in the number of yearly FAD investigations performed by the United States Department of Agriculture (USDA). The objectives of this study were to estimate the seroprevalence of SVA antibodies in breeding and growing pig farms in the United States and to determine the farm-level risk factors associated with seropositivity. A total of 5,794 blood samples were collected from 98 and 95 breeding and growing pig farms in 17 states. A farm characteristics questionnaire was sent to all farms, to which 80% responded. The responses were used to conduct logistic regression analyses to assess the risk factors associated with SVA seropositivity. The estimated farm-level seroprevalences were 17.3% and 7.4% in breeding and growing pig farms, respectively. Breeding farms had 2.64 times higher odds of SVA seropositivity than growing pig farms. One key risk factor identified in breeding farms was the practice of rendering dead animal carcasses. However, the adoption of a higher number of farm biosecurity measures was associated with a protective effect against SVA seropositivity in breeding farms

Geo-Neutrinos: a short review

Geo-neutrino detection will determine the amount of long lived radioactive elements within our planet and fix the debated radiogenic contribution to the terrestrial heat. In addition, it will provide a direct test of the Bulk Silicate Earth model, a fundamental cosmochemical paradigm about the origin of the Earth. Unorthodox models of Earth's core (including the presence of potassium or the possibility of a giant reactor) can also be checked. This short review presents status and prospects of the field.Comment: 7 pages, 2 figures, presented at Neutrino 2004 in Pari

Forecasting Operation Metrics for Virtualized Network Functions

Network Function Virtualization (NFV) is the key technology that allows modern network operators to provide flexible and efficient services, by leveraging on general-purpose private cloud infrastructures. In this work, we investigate the performance of a number of metric forecasting techniques based on machine learning and artificial intelligence, and provide insights on how they can support the decisions of NFV operation teams. Our analysis focuses on both infrastructure-level and service-level metrics. The former can be fetched directly from the monitoring system of an NFV infrastructure, whereas the latter are typically provided by the monitoring components of the individual virtualized network functions. Our selected forecasting techniques are experimentally evaluated using real-life data, exported from a production environment deployed within some Vodafone NFV data centers. The results show what the compared techniques can achieve in terms of the forecasting accuracy and computational cost required to train them on production data

First retrospective studies with etiological confirmation of porcine transmissible gastroenteritis virus infection in Argentina

Background: (TGEV) was made by the NationalServices of Animal Health of Argentina (SENASA) to the World Organization of Animal Health (OIE). The notificationwas based on a serological diagnosis in a small farm with a morbidity rate of 2.3% without enteric clinical signs. Inorder to determine if TGEV was circulating before the official report, a retrospective study on cases of neonataldiarrhea was performed. The selection criteria was a sudden increase in mortality in 1- to 21-day-old piglets withwatery diarrhea that did not respond to antibiotics. Based on these criteria, three clinical cases were identifiedduring 2010?2015.Results: All animals that were evaluated presented histological lesions consistent with enteric viral infection. Thefeces and ultrathin sections of intestine that were evaluated by electron microscopy confirmed the presence ofround particles of approximately 80 nm in size and characterized by finely granular electrodense nucleoidsconsistent with complete particles of coronavirus. The presence of the TGEV antigen was confirmed by monoclonalspecific immunohistochemistry, and final confirmation of a metabolically-active virus was performed by in situhybridization to detect a TGE mRNA encoding spike protein. All sections evaluated in this case were negative forPEDV and rotavirus A.Conclusions: This is the first case series describing neonatal mortality with etiological confirmation of TGEV inArgentina. The clinical diagnosis of TGEV infections in endemic regions is challenging due to the epidemiologicaldistribution and coinfection with other enteric pathogens that mask the clinical presentation.Fil: Piñeyro Piñeiro, Pablo Enrique. University Of Iowa. Ames Laboratory; Estados Unidos. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Departamento de Patología. Cátedra de Patología Especial Veterinaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Lozada, María Inés. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Departamento de Patología. Laboratorio de Patología Especial Veterinaria "Dr. Bernardo Epstein"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Alarcon, Laura Valeria. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias; ArgentinaFil: Sanguinetti, Ramon. Ministerio de Agricultura, Ganadería, Pesca y Alimento; ArgentinaFil: Cappuccio, Javier Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Virología; ArgentinaFil: Pérez, Estefanía Marisol. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Cátedra de Patología Especial; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Vannucci, Fabio. University Of Minnesota. School Of Public Health.; Estados UnidosFil: Armocida, Alberto Domingo. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias; ArgentinaFil: Madson, Darin Michael. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Cátedra de Patología Especial; ArgentinaFil: Perfumo, Carlos Juan. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Cátedra de Patología Especial; ArgentinaFil: Quiroga, María Alejandra. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Cátedra de Patología Especial; Argentin