86,625 research outputs found
Profili fiscali di un (non più inverosimile) primo impiego in smart working transfrontaliero
No full textLa pandemia e la connessa normativa emergenziale hanno reso notoriamente più diffusa la modalità di lavoro agile transfrontaliero, senza che a tale cleavage si
siano accompagnati gli opportuni adattamenti in punto di diritto. Di conseguenza, permangono esposti all’incertezza normativa specialmente quei soggetti – spesso giovanissimi – che hanno appena avviato a distanza la loro carriera lavorativa
State of art in diagnosis and stadiation of pancreatic cancer with multidetector computer tomography.
No full textState of the art in diagnosis and stadiation of pancreatic cancer with multidetector computed tomography.
No full textOnde T negative giganti all'elettrocardiogramma: cosa c'è dietro? [Giant negative T waves on the electrocardiogram: What is underneath?]
No full textUn ragazzo di 29 anni si è sottoposto a visita cardiologica preliminare a sport agonistico.
Asintomatico, privo in anamnesi di familiarità per malattie cardiovascolari e per morte improvvisa, nonché di fattori di rischio cardiovascolare. L’esame clinico era negativo e la pressione arteriosa nella norma.
Il suo ECG mostrava ritmo sinusale a 61 b/min, ingrandimento atriale sinistro, ipertrofia ventricolare sinistra e alterazioni secondarie della ripolarizzazione ventricolare con onde T negative giganti (onde T negative ≥10 mm 1) nelle derivazioni precordiali (V4-V5).
La valutazione ecocardiografica mostrava un ventricolo sinistro di normali volumi intracavitari, con ipertrofia uniforme e ipertrofia dei muscoli papillari (massimo spessore parietale 17 mm), dilatazione atriale sinistra, sezioni destre nei limiti, in assenza di valvulopatie di rilievo [...]A 29-year-old man underwent a cardiology examination prior to competitive sports.
He was asymptomatic, with no family history of cardiovascular disease or sudden cardiac death, and no cardiovascular risk factors. Clinical examination was unremarkable, and blood pressure was normal.
His ECG showed sinus rhythm at 61 beats/min, left atrial enlargement, left ventricular hypertrophy, and secondary ventricular repolarization abnormalities with giant negative T waves (negative T waves ≥10 mm) in the precordial leads (V4-V5).
Echocardiography showed a left ventricle with normal intracavitary volumes, with uniform hypertrophy and hypertrophy of the papillary muscles (maximum wall thickness 17 mm), left atrial dilation, right ventricular sections within normal limits, and no significant valvular disease [...
Multivariate hidden dynamic geostatistical model for analysing and mapping air quality data in Apulia, Italy
No full text
Bayesian small area models for investigating spatial heterogeneity and factors affecting the amount of solid waste in Italy
No full textThis study aims at investigating factors that impact solid waste generation
rates at the Italian province-level scale. An approach based on Bayesian small
area models is used to evaluate potential spatial dependencies and local variations
on the distribution of waste generation rates and its determinants. An extension of
the basic Fay-Herriot model to include spatial correlation among neighboring areas
is considered (SFH). Preliminary results suggest a highest per capita production of
differentiated (or recyclable) waste fraction in wealthier Italian provinces highlighting
the intrinsic correlation between areas characterized by similar socio-economic
scenarios
A Bayesian joint model for exploring zero-inflated bivariate marine litter data
No full textAcknowledging the spatial and spatio-temporal behavior of natural processes
is crucial for management purposes. Semi-continuous datasets are common
in Ecology: combining information on occurrence and conditional-to-presence
abundance of species allows to improve environment effects estimates. Based on
a marine litter case study, this paper proposes a two-parts model to handle 1) the
zero-inflation problem and 2) the spatial correlation characterizing abundance monitoring
data. In the spirit of multi-species distribution models, we propose to jointly
infer different litter categories in a Hurdle-model framework. Shared spatial effects
that link abundances and probabilities of occurrences of litter categories, are implemented
via the SPDE approach in the computationally efficient INLA context
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