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University of Padua

EducationPadova, Veneto, Italy
About: University of Padua is a(n) education organization based out in Padova, Veneto, Italy. It is known for research contribution in the topic(s): Population & Galaxy. The organization has 39955 authors who have published 114847 publication(s) receiving 3674820 citation(s). The organization is also known as: University of Padova & Università di Padova.
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Journal ArticleDOI
Remke Kloosterman1Institutions (1)
Abstract: In this article we give a new proof for the infinitesimal Torelli theorem for minimal elliptic surfaces without multiple fibers with Euler number at least 24 for nonconstant j-invariant. In the case of constant j-invariant we find a new proof in the case of Euler number at least 72. We also discuss several new counterexamples.

Journal ArticleDOI
Abstract: The worldwide spread of Extra-intestinal Pathogenic Escherichia coli (ExPEC), together with the antimicrobial resistance linked with extended-spectrum β-lactamases (ESBLs) and plasmid-mediated AmpC β-lactamases (pAmpCs) are pressing threats for public health. This study aimed to investigate the presence of ExPEC genes in third-generation cephalosporin (3 GC)-resistant E. coli and to study their distribution in broiler carcasses at the slaughterhouse after the chilling process. To this purpose, isolates from a collection of 3 GC-resistant E. coli from carcasses of broilers originating from twelve broiler farms and three production chains were investigated. Several multivariate statistical approaches were adopted to elucidate the relationships among features. Phylogroup F was predominant in all broiler batches and was mainly associated with blaTEM and ESBL genes but less correlated to ExPEC genes. Another remarkable finding was the predominance of ExPEC strains assigned to uncommon phylogroups, such as B2, D, E and Clade I, commonly found into the environment. This study represents a first step for a comprehensive characterization of ExPEC genes harboured by 3 GC-resistant E. coli. These findings may be valuable for the identification of potential risks associated to broiler carcasses as source of uncommon E. coli phylogroups.

Journal ArticleDOI
Abstract: In recent years, the increase of psychopathological disorders in the population has become a health emergency, leading to a great effort to understand psychological vulnerability mechanisms. In this scenario, the role of the autonomic nervous system (ANS) has become increasingly important. This study investigated the association between ANS, social skills, and psychopathological functioning in children. As an ANS status proxy, we measured heart rate variability (HRV). Infants admitted to the neonatal intensive care unit of the University Hospital of Padova because of preterm birth or neonatal hypoxic-ischemic encephalopathy were sequentially recruited from January 2011 to June 2013 and followed long-term up to school age in this cross-sectional observational study. We recorded 5 minutes of HRV immediately before measuring performance in social abilities tasks (affect recognition and theory of mind, NEPSY-II) in 50 children (mean age 7.4 ± 1.4 years) with and without risk factors for developing neuropsychiatric disorders due to pre-/perinatal insults without major sequelae. Children also completed extensive cognitive, neuropsychological, and psychosocial assessment. Parents were assessed with psychopathological interviews and a questionnaire (CBCL 6-18). Analysis in a robust Bayesian framework was used to unearth dependencies between HRV, social skills, and psychopathological functioning. Social task scores were associated with HRV components, with high frequency the most consistent. HRV bands were also associated with the psychopathological questionnaire. Only normalized HRV high frequency was able to distinguish impaired children in the affect recognition task. Our data suggest that ANS may be implicated in social cognition both in typical and atypical developmental conditions and that HRV has cross-disease sensitivity. We suggest that HRV parameters may reflect a neurobiological vulnerability to psychopathology. The study was approved by the Ethics Committee of the University Hospital of Padova (Comitato Etico per la Sperimentazione, Azienda Opedaliera di Padova, approval No. 1693P).

1 citations

Journal ArticleDOI
Abstract: In this paper a novel method to improve the residual vibration suppression in underactuated uncertain flexible systems through motion planning is proposed. The proposed technique relies on the concurrent use of input shaping and on the alteration of the mechanical properties of the system, which enables the enhancement of the robustness to uncertain parameters. Robustness is formulated through the parametric sensitivities of the natural frequencies that provide an analytical and non-probabilistic tool, which is embedded in the eigenstructure assignment algorithm developed in this work. The effectiveness of the proposed method is assessed through a benchmark testbed composed by a triple pendulum attached to a delta robot, that should execute rest-to-rest, residual vibration-free motion. Hence, residual vibrations of the pendulum are used to measure the accuracy and the sensitivity of the proposed combined shaper-IDSM approach. Both the numerical and experimental results confirm the advantages of the proposed technique for the suppression of the residual vibrations in uncertain systems over traditional techniques. In particular, robustness of the dominant tuning frequency is increased with respect to variations of the tip-end mass of the pendulum, representing a varying payload transferred by a robotic system.

Journal ArticleDOI
TL;DR: This paper focuses on the development of a special end-effector that can withstand impacts and is able to protect the robot from impulsive forces caused by collisions of the end- effector, but it has no effect on possible collisions between the links and obstacles.
Abstract: In robotics the risk of collisions is present both in industrial applications and in remote handling. If a collision occurs, the impact may damage both the robot and external equipment, which may result in successive imprecise robot tasks or line stops, reducing robot efficiency. As a result, appropriate collision avoidance algorithms should be used or, if it is not possible, the robot must be able to react to impacts reducing the contact forces. For this purpose, this paper focuses on the development of a special end-effector that can withstand impacts. It is able to protect the robot from impulsive forces caused by collisions of the end-effector, but it has no effect on possible collisions between the links and obstacles. The novel end-effector is based on a bi-stable mechanism that decouples the dynamics of the end-effector from the dynamics of the robot. The intrinsically non-linear behavior of the endeffector is investigated with the aid of numerical simulations. The effect of design parameters and operating conditions are analyzed and the interaction between the functioning of the bi-stable mechanism and the control system is studied. In particular, the effect of the mechanism in different scenarios characterized by different robot velocities is shown. Results of numerical simulations assess the validity of the proposed end-effector, which can lead to large reductions in impact forces. Numerical results are validated by means of specific laboratory tests.


Showing all 39955 results

Mika Kivimäki1661515141468
Roger Y. Tsien163441138267
Alvio Renzini16290895452
Ralph A. DeFronzo160759132993
Sabino Matarrese155775123278
Jay Hauser1552145132683
G. de Zotti154718121249
Jongmin Lee1502257134772
Thomas E. Starzl150162591704
Frede Blaabjerg1472161112017
Marco Zanetti1451439104610
Niels Birbaumer14283577853
Tommaso Dorigo1411806104276
Manfred Paulini1411791110930
Martino Margoni1412059107829
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