Combining X-ray Fluorescence and Monte Carlo Simulation Methods to Differentiate between Tumbaga and Gold-Alloy or Gildings.

Depleted metals have been produced since many centuries ago. Probably the most famous examples from ancient times are the so-called Tumbaga gold artifacts, whose production was introduced by the pre-Colombian civilizations. Tumbaga-like structures have been identified also in modern nanotechnological materials. In both cases, but specially for the ancient Tumbaga, due to their preciousness, their characterization should be obtained by non-destructive analysis. Several analytical protocols have been developed, some of them non-destructive, such as those based on X-ray Fluorescence, but the results obtained do not always allow for a reliable identification of Tumbaga with respect to gilding or single alloy samples. Besides the capability to distinguish between different structures of the sample, it is also important to obtain a quantitative estimation of its composition. In order to meet this demand, a new approach based on X-ray Fluorescence coupled to Monte Carlo simulations is proposed. It allows one to distinguish easily between the three manufacturing techniques and to quantify the composition of the sample without any destructive sampling. It constitutes a new tool for the study of complex alloy structures. The protocol is applied here to some ancient Tumbaga gold samples and is described in detail, comparing the results to those obtained with other techniques.

Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep.

The brain exhibits capabilities of fast incremental learning from few noisy examples, as well as the ability to associate similar memories in autonomously-created categories and to combine contextual hints with sensory perceptions. Together with sleep, these mechanisms are thought to be key components of many high-level cognitive functions. Yet, little is known about the underlying processes and the specific roles of different brain states. In this work, we exploited the combination of context and perception in a thalamo-cortical model based on a soft winner-take-all circuit of excitatory and inhibitory spiking neurons. After calibrating this model to express awake and deep-sleep states with features comparable with biological measures, we demonstrate the model capability of fast incremental learning from few examples, its resilience when proposed with noisy perceptions and contextual signals, and an improvement in visual classification after sleep due to induced synaptic homeostasis and association of similar memories.

The disease burden of human cystic echinococcosis based on HDRs from 2001 to 2014 in Italy.

BACKGROUND: Cystic echinococcosis (CE) is an important neglected zoonotic parasitic infection belonging to the subgroup of seven Neglected Zoonotic Disease (NZDs) included in the World Health Organization's official list of 18 Neglected Tropical Diseases (NTDs). CE causes serious global human health concerns and leads to significant economic losses arising from the costs of medical treatment, morbidity, life impairments and fatality rates in human cases. Moreover, CE is endemic in several Italian Regions. The aim of this study is to perform a detailed analysis of the economic burden of hospitalization and treatment costs and to estimate the Disability Adjusted Life Years (DALYs) of CE in Italy. METHODS AND FINDINGS: In the period from 2001 to 2014, the direct costs of 21,050 Hospital Discharge Records (HDRs) belonging to 12,619 patients with at least one CE-related diagnosis codes were analyzed in order to quantify the economic burden of CE. CE cases average per annum are 901 (min-max = 480-1,583). Direct costs include expenses for hospitalizations, medical and surgical treatment incurred by public and private hospitals and were computed on an individual basis according to Italian Health Ministry legislation. Moreover, we estimated the DALYs for each patient. The Italian financial burden of CE is around € 53 million; the national average economic burden per annum is around € 4 million; the DALYs of the population from 2001 to 2014 are 223.35 annually and 5.26 DALYs per 105 inhabitants. CONCLUSION: In Italy, human CE is responsible for significant economic losses in the public health sector. In humans, costs associated with CE have been shown to have a great impact on affected individuals, their families and the community as a whole. This study could be used as a tool to prioritize and make decisions with regard to a surveillance system for this largely preventable yet neglected disease. It demonstrates the need of implementing a CE control program aimed at preventing the considerable economic and social losses it causes in high incidence areas.

Retrospective study of human cystic echinococcosis in Italy based on the analysis of hospital discharge records between 2001 and 2012.

Cystic echinococcosis (CE) is an important zoonotic parasitic infection. The European Centre for Disease Control highlights that Italy lacks a surveillance system for CE. Due to the lack of official data, we analysed the Hospital Discharge Records (HDRs) drawn from the National Ministry of Health. The aim of this study was to analyse data from the HDRs with CE-related diagnoses in Italy from 2001 to 2012 to assess the current status and trend of disease epidemiology. A total of 16,550 HDRs related to the admission of 10,682 Italian patients were examined. The HDRs were analysed according to the patient's region and province code to evaluate the demographic and clinical characteristics of each case, together with the annual incidence rates of hospital cases (AIh) in administrative divisions in rural and urban areas. Lesions occurred frequently in the liver (83.6%) and lungs (8.4%). Patients ranged in age from 1 to 100 years (mean 59.8), and 57% were over 60 years old. The highest average AIh was registered in the Islands with 4.6/10(5) inhabitants (6.9/10(5) in Sardinia and 4.3/10(5) in Sicily), followed by the South with an average AIh of 1.9/10(5) inhabitants (5.4/10(5) inhabitants) and the Centre with an average AIh of 1.07/10(5) inhabitants (there was an AIh of 1.65/10(5) in Latium). The analysis for trend showed a statistically significant decrease in the AIh throughout the study period (e.g., in the Islands r(2)=0.98, p<0.001). An AIh over 2/10(5) inhabitants was observed in 31/110 provinces. Rural areas with comprehensive development problems had a relative risk of CE of 5.7 (95% CI, 5.3 to 6.9) compared to urban areas. The relative risk increased between areas where sheep breeding is widespread compared to those where it is less prevalent. This study shows a detailed picture of the geographic distribution and the epidemiological situation of CE in Italy, indicating that CE continues to be a significant public health problem in Italy. The retrospective study of HDRs is useful for the evaluation of the status of disease epidemiology; however, a surveillance system is needed to report confirmed cases of human CE.