187,998 research outputs found
mary-petrone/Arbovirus_Epi_DR: Asynchronicity-manuscript-code-and-data
No full text<p>This repository contains R scripts and source data used for the analyses described in "Asynchronicity of endemic and emerging mosquito-borne disease outbreaks in the Dominican Republic" by Petrone, Earnest, et al.</p>
mary-petrone/large_flavi: long_flavi
No full text<p>Initial release. Data associated with pre-peer reviewed version of MS.</p>
Relations phenetique des populations iberomaurusiennes de l'Afrique du Nord avec celles de la fin du Pléistocène-début de l'Holocène en Eurasie.
No full textCoppa A., Candilio F., Lucci M., Mehdi M., Oujaa A., Petrone P.P., Roudesli-Chebbi S., Vargiu R. 2009. Relations phenetique des populations iberomaurusiennes de l'Afrique du Nord avec celles de la fin du Pléistocène-début de l'Holocène en Eurasie. Société d'Anthropologie de Paris 3rd Jubilee International Congress, Paris 26 - 30 janvier 2009. Bulletins et Mémoires de la Société d’Anthropologie de Paris, n.s., t. 20, 2008
Non parametric mixture priors based on an exponential random scheme
No full textWe propose a general procedure for constructing nonparametric priors for Bayesian inference. Under very general assumptions, the proposed prior selects absolutely continuous distribution functions, hence it can be useful with continuous data. We use the notion of Feller-type approximation, with a random scheme based on the natural exponential family, in order to construct a large class of distribution functions. We show how one can assign a probability to such a class and discuss the main properties of the proposed prior, named Feller prior. Feller priors are related to mixture models with unknown number of components or, more generally, to mixtures with unknown weight distribution. Two illustrations relative to the estimation of a density and of a mixing distribution are carried out with respect to well known data-set in order to evaluate the performance of our procedure. Computations are performed using a modified version of an MCMC algorithm which is briefly described. © Springer-Verlag 2002
Early Detection of Photovoltaic Panel Degradation through Artificial Neural Network
No full textIn this paper, an artificial neural network (ANN) is used for isolating faults and degradation phenomena occurring in photovoltaic (PV) panels. In the literature, it is well known that the values of the single diode model (SDM) associated to the PV source are strictly related to degradation phenomena and their variation is an indicator of panel degradation. On the other hand, the values of parameters that allow to identify the degraded conditions are not known a priori because they can be different from panel to panel and are strongly dependent on environmental conditions, PV technology and the manufacturing process. For these reasons, to correctly detect the presence of degradation, the effect of environmental conditions and fabrication processes must be properly filtered out. The approach proposed in this paper exploits the intrinsic capability of ANN to map in its architecture two effects: (1) the non-linear relations existing among the SDM parameters and the environmental conditions, and (2) the effect of the degradation phenomena on the I−V curves and, consequently, on the SDM parameters. The ANN architecture is composed of two stages that are trained separately: one for predicting the SDM parameters under the hypothesis of healthy operation and the other one for degraded condition. The variation of each parameter, calculated as the difference of the output of the two ANN stages, will give a direct identification of the type of degradation that is occurring on the PV panel. The method was initially tested by using the experimental I−V curves provided by the NREL database, where the degradation was introduced artificially, later tested by using some degraded experimental I−V curves.Photovoltaic Materials and Device
Un modello comico per la narratio (Cic. de orat. 2, 326 ss.)
No full textViene analizzato il rapporto tra la tradizione oratoria e i prologhi scenici . Dopo una breve escursione tra teoria retorica sull'esordio e la narratio con la prassi consueta ai prologhi comici, si delinea una relazione tra essi attraverso l'analisi di alcune pagine del De Oratore di Ciceron
Ski touring boots kinetic and kinematic data acquisitions for climbing and skiing analysis
No full textINTRODUCTION. Ski touring is rapidly gaining interest and increasing its pool of practisers thanks to a boost
given by the recent pandemic and the closure of ski-lifts in many regions. Differently to alpine skiing, lightness of
the gear is crucial since the practiser ascends the track without ski-lifts. Nevertheless, structural properties still
need to ensure a safe and enjoyable skiing. Ski boot is one of the key components contributing to the overall
performance of the system and its flexural stiffness in downhill has already been investigated in the past [1,2]. To
guide industry towards an optimization of the ski boot structure also in uphill climbing, a complete measurement
system was developed to collect ski boot loads and kinematics in uphill and downhill phases.
METHODS. Two six-axis load cells M3564F (Sunrise Instruments, China) were placed under front and rear
Alpinist 12 (Marker) ski touring bindings with two pairs of additional aluminium plates. Total added weight of the
load acquisition system was 0,52 kg/ski. Height added between ski and ski binding was 20 mm. To measure boot
component angles in the sagittal plane, a Tecnica Zero G ski boot was equipped with three angular potentiometric
sensors to collect the angle between: i) ski boot sole and the ski (in climbing), ii) boot shell and cuff, iii); boot
shell and skier’s tibia. Load and angle data were acquired with SoMat (HBM) data acquisition system fitted in a
compact backpack. Right side climbing and skiing data of an agonist skier (age 26 y.o., weight 70 kg) was recorded
in a mixed piste/off-piste terrain in Passo Rolle (TN, Italy) (Figure 1.a).
RESULTS. Figure 1.b reports uphill climbing total force and kinematics data of four cycles. Vertical GRF shows
a typical gait shape with two local maxima of 662 N and 686 respectively. Angular range of motion was of 60° for the ski/boot sole, 20° for the boot sole/cuff, and 17.5° for the boot sole/tibia.
DISCUSSION AND CONCLUSIONS. Results of in field test sessions will be analysed to generate data which
will be used to feed a test bench designed for applying climbing and skiing loads to ski boots.
ACKNOWLEDGEMENTS: The research was supported by the Project POR FESR 1.1.4 2020 “SAFE”.
REFERENCES.
[1] Petrone, N. et al., Sport. Eng. 2013, 16, 265–280, doi:10.1007/s12283-013-0133-z.
[2] Zhu H. et al., J Sci Med Sport. 2021 Oct;24(10):1026-1031. doi: 10.1016/j.jsams.2020.05.020.
[3] Hasler M. et al., J Sci Med Sport., 2019 Aug;22 Suppl 1:S60-S64. DOI: 10.1016/j.jsams.2018.11.009. PMID:
30527901
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