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Search Results: 1 - 10 of 406165 matches for " Giuseppe M. Masanotti "
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Workplace health promotion in the context of public health
Giuseppe M. Masanotti,Lamberto Briziarelli
Italian Journal of Public Health , 2010, DOI: 10.2427/5698
Abstract: In modern societies, work is the source of most individual, corporate and community wealth. The level of each society’s health is therefore particularly vulnerable to disruption caused by employee illness. Today healthy workplaces are one of the most important determinants of health. However, public health has tended to completely ignore health in the workplace and occupational medicine has tended to ignore it in part. This article refers to the Italian and European context and, through a review of international recommendations, research and direct field experiences, presents workplace health promotion as an important tool in the field of public health. Through the years, several initiatives have been tested. One of the platforms that has demonstrated to be cost effective is based on the principles included in the Ottawa Charter which, when applied to the workplace, define workplace health promotion. In the last twelve years, the European Commission has recognized the workplace as a key determinant of health and has outlined a methodology of workplace health promotion as defined in the Luxemburg Declaration. The basis of this methodology is planning. Without correct strategy and policy development it will not be possible to create a sustainable society. The enforcement of Lisbon treaty seems to be a substantial step forward for Europe.
Estimation of the Piecewise Exponential Model by Bayesian P-Splines via Gibbs Sampling: Robustness and Reliability of Posterior Estimates  [PDF]
Giuseppe Marano, Patrizia Boracchi, Elia M. Biganzoli
Open Journal of Statistics (OJS) , 2016, DOI: 10.4236/ojs.2016.63041
Abstract: In the investigation of disease dynamics, the effect of covariates on the hazard function is a major topic. Some recent smoothed estimation methods have been proposed, both frequentist and Bayesian, based on the relationship between penalized splines and mixed models theory. These approaches are also motivated by the possibility of using automatic procedures for determining the optimal amount of smoothing. However, estimation algorithms involve an analytically intractable hazard function, and thus require ad-hoc software routines. We propose a more user-friendly alternative, consisting in regularized estimation of piecewise exponential models by Bayesian P-splines. A further facilitation is that widespread Bayesian software, such as WinBUGS, can be used. The aim is assessing the robustness of this approach with respect to different prior functions and penalties. A large dataset from breast cancer patients, where results from validated clinical studies are available, is used as a benchmark to evaluate the reliability of the estimates. A second dataset from a small case series of sarcoma patients is used for evaluating the performances of the PE model as a tool for exploratory analysis. Concerning breast cancer data, the estimates are robust with respect to priors and penalties, and consistent with clinical knowledge. Concerning soft tissue sarcoma data, the estimates of the hazard function are sensitive with respect to the prior for the smoothing parameter, whereas the estimates of regression coefficients are robust. In conclusion, Gibbs sampling results an efficient computational strategy. The issue of the sensitivity with respect to the priors concerns only the estimates of the hazard function, and seems more likely to occur when non-large case series are investigated, calling for tailored solutions.
ROLE OF MITOCHONDRIAL DNA IN AGING PROCESSES
Giuseppe M. Attardi
The Scientific World Journal , 2001, DOI: 10.1100/tsw.2001.133
Abstract:
Female Burying Beetles Benefit from Male Desertion: Sexual Conflict and Counter-Adaptation over Parental Investment
Giuseppe Boncoraglio, Rebecca M. Kilner
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0031713
Abstract: Sexual conflict drives the coevolution of sexually antagonistic traits, such that an adaptation in one sex selects an opposing coevolutionary response from the other. Although many adaptations and counteradaptations have been identified in sexual conflict over mating interactions, few are known for sexual conflict over parental investment. Here we investigate a possible coevolutionary sequence triggered by mate desertion in the burying beetle Nicrophorus vespilloides, where males commonly leave before their offspring reach independence. Rather than suffer fitness costs as a consequence, our data suggest that females rely on the male's absence to recoup some of the costs of larval care, presumably because they are then free to feed themselves on the carcass employed for breeding. Consequently, forcing males to stay until the larvae disperse reduces components of female fitness to a greater extent than caring for young singlehandedly. Therefore we suggest that females may have co-evolved to anticipate desertion by their partners so that they now benefit from the male's absence.
Two new records of ceratocanthinae from northeastern Argentina (Coleoptera: Scarabaeoidea, Hybosoridae)
Ballerio, Alberto;Carpaneto, Giuseppe M.;
Neotropical Entomology , 2009, DOI: 10.1590/S1519-566X2009000100018
Abstract: germarostes (haroldostes) rugiceps (germar) and germarostes (haroldostes) diffundus (petrovitz) (ceratocanthinae) are recorded for the first time for argentina from misiones and corrientes, respectively. this brings to thirteen the total number of the ceratocanthinae species recorded for argentina up to now. some remarks on the type series of g. diffundus and on the collecting circumstances of the argentine specimens in here discussed are included.
Invariant and Metric Free Proximities for Data Matching: An R Package
Stefano M. Iacus,Giuseppe Porro
Journal of Statistical Software , 2008,
Abstract: Data matching is a typical statistical problem in non experimental and/or observational studies or, more generally, in cross-sectional studies in which one or more data sets are to be compared. Several methods are available in the literature, most of which based on a particular metric or on statistical models, either parametric or nonparametric. In this paper we present two methods to calculate a proximity which have the property of being invariant under monotonic transformations. These methods require at most the notion of ordering. An open-source software in the form of a R package is also presented.
Deterministic Plug-and-Play for Quantum Communication
M. Lucamarini,G. Di Giuseppe
Physics , 2004,
Abstract: We present a scheme for secure deterministic quantum communication without using entanglement, in a Plug-and-Play fashion. The protocol is completely deterministic, both in the encoding procedure and in the control one, thus doubling the communication rate with respect to other setups; moreover, deterministic nature of transmission, apart from rendering unnecessary bases revelation on the public channel, allows the realization of protocols like `direct communication' and `quantum dialogue'. The encoding exploits the phase degree of freedom of a photon, thus paving the way to an optical fiber implementation, feasible with present day technology.
Time reflection and the dynamics of particles and antiparticles
Giuseppe Marmo,Wlodzimierz M. Tulczyjew
Mathematics , 2007, DOI: 10.1016/S0034-4877(06)80045-5
Abstract: In this paper we continue our analysis of a formulation of electrodynamics fully covariant under the full Poincar\'e group. Transformations under the four different components of the group force on us the introduction of particles, either in the identification by Feynman or in the identification of Dirac.
Supercritical Fluid Adsorption of Domperidone on Silica Aerogel  [PDF]
Giuseppe Caputo
Advances in Chemical Engineering and Science (ACES) , 2013, DOI: 10.4236/aces.2013.33024
Abstract:

Silica aerogel (SA) was loaded with domperidone to demonstrate the potentiality of adsorption processes based on the usage of supercritical carbon dioxide to treat poorly water-soluble drugs, forming new kinds of drug delivery systems. The effects of pressure, temperature and solution concentration on loaded SA were studied. Adsorption isotherms were measured at 35and 45 and fitted with Langmuir model. Release kinetics of the adsorbed drug were also evaluated by in vitro dissolution tests. Results showed that domperidone can be uniformly dispersed into the aerogel and that the release rate of domperidone from the composite, constituted by drug and silica aerogel, is much faster than that of the crystalline drug. The proposed adsorption method is suitable for the production of domperidone fast release tablets.

Modeling and simulation in tissue biomechanics: Modern tools to face an ancient challenge  [PDF]
Giuseppe Vairo
Journal of Biomedical Science and Engineering (JBiSE) , 2013, DOI: 10.4236/jbise.2013.612A001
Abstract:

This is the editorial for the specail issue on Modeling and Simulation in Tissue Biomechanics published in Journal of Biomedical Science and Engineering


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