103,343 research outputs found
Correction to: Efficacy of Collagenase Clostridium histolyticum (Xiapex®) in Patients with the Acute Phase of Peyronie’s Disease (Clinical Drug Investigation, (2020), 40, 6, (583-588), 10.1007/s40261-020-00916-4)
No full textThe original version of this article unfortunately contained a mistake. The fifth author’s given name is Francesco and the family name is Lotti. Title page: Authors’ names, which previously read: Andrea Cocci, Fabrizio Di Maida, Giorgio Ivan Russo, Paolo Capogrosso, Lotti Francesco, Michele Rizzo, Marina Di Mauro, Andrea Salonia, Gianmartin Cito, Marco Falcone, Andrea Romano, Gaia Polloni, Juan Ignacio Martinez-Salamanca, Esaù Fernández-Pascual, Andrea Minervini & Nicola Mondaini Should read: Andrea Cocci, Fabrizio Di Maida, Giorgio Ivan Russo, Paolo Capogrosso, Francesco Lotti, Michele Rizzo, Marina Di Mauro, Andrea Salonia, Gianmartin Cito, Marco Falcone, Andrea Romano, Gaia Polloni, Juan Ignacio Martinez- Salamanca, Esaù Fernández-Pascual, Andrea Minervini & Nicola Mondain
Numerical Investigation of Pull-In Instability in a Micro-Switch MEMS Device through the Pseudo-Spectral Method
No full textA pseudo-spectral approximation is presented to solve the problem of pull-in instability in a cantilever micro-switch. As well known, pull-in instability arises when the acting force reaches a critical threshold beyond which equilibrium is no longer possible. In particular, Coulomb electrostatic force is considered, although the method can be easily generalized to account for fringe as well as Casimir effects. A numerical comparison is presented between a pseudo-spectral and a Finite Element (FE) approximation of the problem, both methods employing the same number of degrees of freedom. It is shown that the pseudo-spectral method appears more effective in accurately approximating the behavior of the cantilever near its tip. This fact is crucial to capturing the threshold voltage on the verge of pull-in. Conversely, the FE approximation presents rapid successions of attracting/repulsing regions along the cantilever, which are not restricted to the near pull-in regime
Gait Analysis Using Multiple Kinect Sensors
No full textA gait analysis technique to model user presences in an office scenario is presented in this chapter. In contrast with other approaches, we use unobtrusive sensors, i.e., an array of Kinect devices, to detect some features of interest. In particular, the position and the spatio-temporal evolution of some skeletal joints are used to define a set of gait features, which can be either static (e.g., person height) or dynamic (e.g., gait cycle duration). Data captured by multiple Kinects is merged to detect dynamic features in a longer walk sequence. The approach proposed here was been evaluated by using three classifiers (SVM, KNN, Naive Bayes) on different feature subsets
User Activity Recognition via Kinect in an Ambient Intelligence Scenario
No full textThe availability of an ever-increasing kind of cheap, unobtrusive, sensing devices has stressed the need for new approaches to merge raw measurements in order to realize what is happening in the monitored environment. Ambient Intelligence (AmI) techniques exploit information about the environment state to adapt the environment itself to the users’ preferences. Even if traditional sensors allow a rough understanding of the users’ preferences, ad-hoc sensors are required to obtain a deeper comprehension of users’ habits and activities. In this paper we propose a framework to recognize users’ activities via a depth and RGB camera device, namely the Microsoft Kinect. The proposed approach takes advantage of the position of relevant human body joints estimated by using Kinect depth information. In our system, significant configurations of joints positions (i.e., postures) are discovered by a clustering approach and classified by means of a multi-class Support Vector Machine. Then, each activity is modeled by Hidden Markov Models (HMMs) as a sequence of known postures. In order to maintain a high level of pervasiveness, a real prototype has been implemented by connecting the Kinect sensor to a miniature computer with limited computational resources. Experimental tests have been performed on a dataset we collected at our laboratory and results look very promising
The Stagnone of Marsala lagoon
No full textThe Stagnone of Marsala is an oligotrophic lagoon situated on the western
coast of Sicily. The area has been under study since the mid-nineteenth
century. Research has focused on its physiographic, chemical-physical,
biological, ecological features and, particularly, on submerged vegetation. Its
main biotic component, a meadow of Posidonia oceanica, is distributed among
peculiar reef formations inside and outside the lagoon, which are extremely
interesting from an ecological and environmental point of view. The seagrass
grows near to its thermal and salinity tolerance level in the inner lagoon, where
it is partially replaced by Cymodocea nodosa and Caulerpa prolifera meadows.
Algal assemblages are characterised by both attached and/or unattached
seaweeds that accumulate in areas of different extension, where they remain
lying freely and slowly rolling on the seabed. Over the past few years, as a
result of the global climate change, a noticeable reduction in the lagoon
biodiversity has occurred due to decreased water exchange, and an increase in
both confinement and temperature. Therefore, a consistent, suitable and well organised monitoring plan should be developed for the protection and the
recovery of the Stagnone of Marsala lagoon
Castiglia P, Campus G, Maida C, Sotgiu G, Campo P, Gusinu R, Scanu R. Il rischio infettivo negli ambulatori pubblici. Valutazione della contaminazione microbica
No full text
Risk assessment as design criteria for safety management systems: Is it still valid for ISO 45001?
No full textEven today, a heavy human and economic toll is still exacted by unsafe and unhealthy working conditions. Governments, employers and workers now recognize the positive influence of introducing OH&S management systems at the organization level, on the Hazard Identifcation, Risk reduction on productivity. The burden of occupational injuries and diseases is signifcant, frst from a cultural point of view (since 70's the work related injuries rates have not signifcantly changed!). Furthermore, this situation both for employers and the wider economy, resulting in losses from early retirements, staff absence and rising insurance premiums. To face the problem, ISO has developed a new standard, ISO 45001:2018, Occupational Health and Safety Management Systems-Requirements that will help Organizations reduce this burden by providing a framework to improve employee safety, reduce workplace risks and create better, safer working conditions, while improving productivity all over the world
- …
