An original logigramme to make safe discharge and community reintegration for Covid-19 patients

During the COVID-19 pandemic, discharge and community reintegration of patients are critical phases in order to guarantee public health. A review of the international and Italian experience that represent the best evidence available was carried out, mainly focusing on the precise allocation of tasks and related responsabilities. The report establishes a proposal for the systematic management pathway dedicated to Covid-19 patients. The original result is a logigramme to guide health practitioners on discharge and community reintegration Covid-19 patients: standardize clinical attitudes helps in ensuring quality of care and patient safety that shuold be a core element even during a public health emergency

EURECOM:Monthly Bulletin of European Community Economic and Financial News. July/August 1991 Vol. 3, No. 7

Winds from the North-West quadrant and lack of precipitation are known to lead to an increase of PM10 concentrations over a residential neighborhood in the city of Taranto (Italy). In 2012 the local government prescribed a reduction of industrial emissions by 10% every time such meteorological conditions are forecasted 72 hours in advance. Wind forecasting is addressed using the Weather Research and Forecasting (WRF) atmospheric simulation system by the Regional Environmental Protection Agency. In the context of distributions-oriented forecast verification, we propose a comprehensive modelbased inferential approach to investigate the ability of the WRF system to forecast the local wind speed and direction allowing different performances for unknown weather regimes. Ground-observed and WRF-forecasted wind speed and direction at a relevant location are jointly modeled as a 4-dimensional time series with an unknown finite number of states characterized by homogeneous distributional behavior. The proposed model relies on a mixture of joint projected and skew normal distributions with time-dependent states, where the temporal evolution of the state membership follows a first order Markov process. Parameter estimates, including the number of states, are obtained by a Bayesian MCMC-based method. Results provide useful insights on the performance of WRF forecasts in relation to different combinations of wind speed and direction

A multivariate circular-linear hidden Markov model for distributions-oriented wind forecast verication

Winds from the North-West quadrant and lack of precipitation are known to lead to an increase of PM10 concentrations in a residential neighborhood of the city of Taranto (Apulia, Italy). In 2012 the local government prescribed a reduction of industrial emissions by 10% every time such meteorological conditions are forecasted 72 hours in advance. Wind prediction is addressed using the Weather Research and Forecasting (WRF) atmospheric simulation system by the Regional Environmental Protection Agency (ARPA Puglia). In the framework of distributions-oriented forecast verication, we investigate the ability of the WRF system to properly predict the local wind speed and direction allowing dierent performances for unknown wind regimes. Ground-observed and WRF-predicted wind speed and direction at a relevant location are jointly modeled as a 4-dimensional time series with a nite number of states (wind regimes) characterized by homogeneous distributional behavior. Observed and simulated wind data are made of two circular (direction) and two linear (speed) variables, then the 4-dimensional time series is jointly modeled by a mixture of projected-skew normal distributions with time-independent states, where the temporal evolution of the state membership follows a rst order Markov process. Parameter estimates are obtained by a Bayesian MCMCbased method and results provide useful insights on wind regimes corresponding to dierent performances of WRF predictions

Auslander-Reiten theory, derived categories, and higher dimensional homological algebra

Ph. D. Thesis.Auslander-Reiten theory plays an important role in the study of abelian and triangulated categories (in classic homological algebra) and in their higher analogues (in the more recent higher homological algebra). The classic setup studies module categories of the form mod and their bounded derived categories Db(mod ), where is a nite dimensional algebra over a eld k and mod is the category of nitely generated (right) -modules. If gldim B 1, Br uning proved there is a bijection between the wide subcategories of the abelian category mod and those of the triangulated category Db(mod ). When T is a suitable triangulated category, J rgensen described Auslander-Reiten triangles in the extension closed subcategories of T . If X b mod is a precovering extension closed subcategory, Kleiner proved that any indecomposable not Ext-projective X > X appears as the end term of an Auslander-Reiten sequence in X and he further described the case when End (X) modulo the morphisms factoring through a projective is a division ring. Letting d be a positive integer, we study higher homological algebra and higher Auslander- Reiten theory. Geiss, Keller and Oppermann generalised triangulated categories to (d+2)- angulated categories and Jasso likewise generalised abelian categories to d-abelian categories. Note that the case d = 1 recovers classic homological algebra. Assuming there is a d-cluster tilting subcategory F b mod , consider F = add{ idF S i > Z} b Db(mod ): Then F is d-abelian and plays the role of a higher mod having for higher derived category the (d + 2)-angulated category F. With this in mind, we generalise Br uning, J rgensen and Kleiner's results for higher values of d. We also use higher Auslander-Reiten theory to generalise results on Grothendieck groups of a suitable triangulated category T . We present \higher cluster tilting" versions of results by Xiao and Zhu and by Palu and a \higher angulated" version of Palu's result. Our results express K0(T ) as a quotient of the split Grothendieck group of higher-cluster tilting subcategories of T . We prove analogues of results by Kleiner on subcategories of mod in the corresponding setup of subcategories of a suitable triangulated category T with a precovering extension closed subcategory C. In particular, we introduce indecomposable Ext-projective objects C in C, show that such a C appears in what we call a left-weak Auslander-Reiten triangle in C and prove how these objects are related to the concept of Iyama and Yoshino's mutation. ContentsSAgE faculty Newcastle Universit

Non-parametric regression on compositional covariates using Bayesian P-splines

Methods to perform regression on compositional covariates have recently been proposed using isometric log-ratios (ilr) representation of compositional parts. This approach consists of first applying standard regression on ilr coordinates and second, transforming the estimated ilr coefficients into their contrast log-ratio counterparts. This gives easy-to-interpret parameters indicating the relative effect of each compositional part. In this work we present an extension of this framework, where compositional covariate effects are allowed to be smooth in the ilr domain. This is achieved by fitting a smooth function over the multidimensional ilr space, using Bayesian Psplines. Smoothness is achieved by assuming random walk priors on spline coefficients in a hierarchical Bayesian framework. The proposed methodology is applied to spatial data from an ecological survey on a gypsum outcrop located in the Emilia Romagna Region, Italy