Search results for "REEs"
showing 10 items of 921 documents
Actividad Bancaria, Reestructuracion y Creacion de Bancos Malos
2015
La reciente crisis financiera ha favorecido que la sociedad debatiera sobre los vicios y virtudes de los diferentes procesos de reestructuración bancaria, y el proceso de creciente concentración en los sistemas financieros (con reducción del número de entidades financieras), ha generado numerosos interrogantes en torno a la inestabilidad sistémica, o a los bancos demasiado grandes para caer. Las entidades financieras ofrecen peculiaridades de naturaleza contable y de gobierno corporativo que justifican su análisis pormenorizado. Existen determinadas asimetrías en el reparto de responsabilidades y rentas generadas en los procesos de reestructuración bancarias y sus diferentes hojas de ruta s…
Ocena jednorodności zanieczyszczenia kory drzew liściastych metalami ciężkimi
2018
Celem badań była ocena jednorodności zanieczyszczenia metalami ciężkimi (Ni, Cu, Zn, Cd i Pb) kory drzew liściastych pobranej z lasu mieszanego na terenie gminy Ozimek (województwo opolskie). W ramach biomonitoringu pasywnego pobrano próbki kory z trzech gatunków drzew liściastych: z brzozy brodawkowatej (Betula pendula Roth.), buka zwyczajnego (Fagus sylvatica L.) oraz z dębu szypułkowego (Quercus robur L.). Metale ciężkie oznaczono za pomocą absorpcyjnej spektrometrii atomowej (AAS). Na podstawie przeprowadzonych badań można jednoznacznie stwierdzić, że kora drzew wykorzystanych do badań różni się pod względem stężeń metali ciężkich. Największe średnie zawartości Cu, Zn, Cd i Pb występują…
Tree invasions in Italian forests
2022
Many forest tree species have been moved outside their native range to provide goods and services elsewhere, but some of them have become invasive, causing negative impacts on biodiversity and human activities. The assessment and knowledge on the degree and scale to which forest ecosystems are invaded by non-native trees is of paramount importance for tailored policies and strategies aiming at forest conservation. By analyzing main databases and literature and applying a four-level scale of invasion (not currently invaded and with low invasibility; potentially invasible; moderately invaded; massively invaded), we assessed the current and potential occurrence of twenty-five invasive non-nati…
The nutritional composition of selected wild edible mushrooms from Sicily (southern Italy)
2011
The wide consumption of wild fungi by the local population is the basis for an evaluation of the as yet unknown nutritional composition of some selected species. Wild edible mushrooms (Fistulina hepatica, Infundibulicybe geotropa, Laetiporus sulphureus, Macrolepiota procera var. procera and Suillus granulatus) were collected in a number of Sicilian (southern Italian) forest ecosystems and analysed according to standard methodologies of fungal analysis, for their basic composition (ash, water, protein, fat, carbohydrate and vitamin). The results showed that the investigated mushrooms could be suggested as a source of nutritional elements for the human diet.
First report of Phytophthora palmivora as a pathogen of olive in Italy
2000
Olive (Olea europea L.) is an economically important crop in Italy and is planted on about 1 million ha. The Apulia, Calabria, and Sicily regions of Southern Italy account for about 70% of the production. Many new plantations have been established during the last 10 years. In summer 1999, 1- to 2-year-old olive trees (cv. Carolea) with decline symptoms were observed in new plantations in Catanzaro Province (Calabria). The symptoms associated with the root rot were leaf chlorosis, defoliation, wilting, twig dieback, and eventual plant collapse. In some cases, more than 40% of the trees were affected. A Phytophthora sp. was isolated consistently from rotted rootlets of diseased trees using a…
Boosting for ranking data: an extension to item weighting
2021
Gli alberi decisionali sono una tecnica predittiva di machine learning particolarmente diffusa, utilizzata per prevedere delle variabili discrete (classificazione) o continue (regressione). Gli algoritmi alla base di queste tecniche sono intuitivi e interpretabili, ma anche instabili. Infatti, per rendere la classificazione più affidabile si `e soliti combinare l’output di più alberi. In letteratura, sono stati proposti diversi approcci per classificare ranking data attraverso gli alberi decisionali, ma nessuno di questi tiene conto ne dell’importanza, ne delle somiglianza dei singoli elementi di ogni ranking. L’obiettivo di questo articolo `e di proporre un’estensione ponderata del metodo …
Fast Green’s Function Method for Ultrafast Electron-Boson Dynamics
2020
The interaction of electrons with quantized phonons and photons underlies the ultrafast dynamics of systems ranging from molecules to solids, and it gives rise to a plethora of physical phenomena experimentally accessible using time-resolved techniques. Green's function methods offer an invaluable interpretation tool since scattering mechanisms of growing complexity can be selectively incorporated in the theory. Currently, however, real-time Green's function simulations are either prohibitively expensive due to the cubic scaling with the propagation time or do neglect the feedback of electrons on the bosons, thus violating energy conservation. We put forward a computationally efficient Gree…
Deep Learning for Resource-Limited Devices
2020
In recent years, deep neural networks have revolutionized the development of intelligent systems and applications in many areas. Despite their numerous advantages and potentials, these intelligent models still suffer from several issues. Among them, the fact that they became very complex with millions of parameters. That is, requiring more resources and time, and being unsuitable for small restricted devices. To contribute in this direction, this paper presents (1) some state-of-the-art lightweight architectures that were specifically designed for small-sized devices, and (2) some recent solutions that have been proposed to optimize/compress classical deep neural networks to allow their dep…
Empirical analysis of daily cash flow time-series and its implications for forecasting
2019
Usual assumptions on the statistical properties of daily net cash flows include normality, absence of correlation and stationarity. We provide a comprehensive study based on a real-world cash flow data set showing that: (i) the usual assumption of normality, absence of correlation and stationarity hardly appear; (ii) non-linearity is often relevant for forecasting; and (iii) typical data transformations have little impact on linearity and normality. This evidence may lead to consider a more data-driven approach such as time-series forecasting in an attempt to provide cash managers with expert systems in cash management.
Observatory science with eXTP
2019
Disponible preprint en: arXiv:1812.04023v1 [astro-ph.HE] [v1] Mon, 10 Dec 2018 19:00:52 UTC (4,376 KB)