404 research outputs found
model checking for data anomaly detection
Abstract Data tipically evolve according to specific processes, with the consequent possibility to identify a profile of evolution: the values it may assume, the frequencies at which it changes, the temporal variation in relation to other data, or other constraints that are directly connected to the reference domain. A violation of these conditions could be the signal of different menaces that threat the system, as well as: attempts of a tampering or a cyber attack, a failure in the system operation, a bug in the applications which manage the life cycle of data. To detect such violations is not straightforward as processes could be unknown or hard to extract. In this paper we propose an approach to detect data anomalies. We represent data user behaviours in terms of labelled transition systems and through the model checking techniques we demonstrate the proposed modeling can be exploited to successfully detect data anomalies
Measurements and optimization of the light yield of a TeO crystal
Bolometers have proven to be good instruments to search for rare processes
because of their excellent energy resolution and their extremely low intrinsic
background. In this kind of detectors, the capability of discriminating alpha
particles from electrons represents an important aspect for the background
reduction. One possibility for obtaining such a discrimination is provided by
the detection of the Cherenkov light which, at the low energies of the natural
radioactivity, is only emitted by electrons. This paper describes the method
developed to evaluate the amount of light produced by a crystal of TeO when
hit by a 511 keV photon. The experimental measurements and the results of a
detailed simulation of the crystal and the readout system are shown and
compared. A light yield of about 52 Cherenkov photons per deposited MeV was
measured. The effect of wrapping the crystal with a PTFE layer, with the aim of
maximizing the light collection, is also presented
Use of psychiatric inpatient services by heavy users: Findings from a national survey in Italy
Indagine epidemiologica nazionale sull'uso dei SPDC da parte dei pazienti piĂą gravi sul versante dell'uso dei Serviz
Demographic and epidemiological characteristics of Ukrainian refugees in an Italian local health authority
Background: The Russian invasion of Ukraine caused millions of Ukrainian refugees to flee to other nations. To provide the most appropriate assistance, host nations necessitate up-to-date information regarding Ukrainian refugee's demographic and epidemiological conditions. We aim to investigate the demographic composition, the COVID-19 vaccinations performed, specialist care provided and the prevalence of non-communicable diseases (NCDs) in refugees assisted by an Italian Local Health Authority (LHA).
Methods: We conducted a retrospective cross-sectional analysis from March to June 2022, analyzing the demographic and epidemiological status of Ukrainians. Statistical analyses were carried out to assess possible associations between NCDs distribution, age and gender.
Results: LHA Roma 1 assisted 9349 Ukrainian refugees. Of these, 2784 (29.8%) were males and 6565 (70.2%) were females, with a median age of 25 years. Two thousand four hundred and eighty-five Ukrainian refugees were vaccinated against COVID-19. Among them, 401 (16.1%) had at least one NCD. The most frequent groups of diseases were related to the circulatory system (50.6%), the endocrine system (24.9%), and mental and behavioral disorders (6.5%).
Conclusion: Refugees need healthcare services targeted mainly towards minors and females. It is essential to analyze and monitor the demographic and epidemiological conditions to provide evidence about patient management and the best care integrated into the health service of host countries
Ukrainian refugee crisis management in the Local Health Authority Roma 1: the challenges of implementing public health policies and lessons learned
Background: The conflict between Russia and Ukraine has strained the health systems of countries that welcome war refugees on all levels, from national to local. Despite the Public Health guidelines regarding assistance being published on the topic, the scientific literature currently lacks evidence on the experience of applying theory in practice. This study aims to describe evidence-based practices that were implemented and to provide a detailed description of emerging problems and solutions pertaining Ukrainian refugee assistance in the context of one of the biggest Local Health Authorities in Italy (LHA Roma 1). Methods: LHA Roma 1 developed a strategic plan based on local expertise, national and international guidelines to ensure infectious disease prevention and control, as well as continuity of care for non-communicable diseases and mental health. Results: The insertion of Ukrainian refugees in the National Health System through an identification code assignment and other services such as COVID-19 swab and vaccination were provided either in one of the three major assistance hubs or in local district level ambulatories spread throughout the LHA. Many challenges were faced during the implementation phase of the outlined practice guidelines, which required sensible and timely solutions. These challenges include the necessity of rapid resource provision, overcoming linguistic and cultural barriers, guaranteeing a standard of care across multiple sites and coordination of interventions. Public Private Partnerships, the creation of a centralized multicultural and multidisciplinary team and the mutually beneficial collaboration with the local Ukrainian community were essential to guarantee the success of all operations. Conclusions: The experience of LHA Roma 1 helps shed light on the importance of leadership in emergency settings and how a dynamic relationship between policy and practice would allow each intervention to be modulated according to the local environment, to better realize the potential of local realities to provide appropriate health interventions to all those in need
Model Checking to Improve Precision of Design Pattern Instances Identification in OO Systems
In the last two decades some methods and tools have been proposed to identify the Design Pattern (DP) instances implemented in an existing Object Oriented (OO) software system. This allows to know which OO components are involved in each DP instance. Such a knowledge is useful to better understand the system thus reducing the effort to modify and evolve it. The results obtained by the existing methods and tools can suffer a lack of completeness or precision due to the presence of false positive/negative. Model Checking (MC) algorithms can be used to improve the precision of DP's instances detected by a tool by automatically refining the results it produces. In this paper a MC based technique is defined and applied to the results of an existing DPs mining tool, called Design Pattern Finder (DPF), to improve the precision by verifying automatically the DPs instances it detects. To verify and assess the feasibility and the effectiveness of the proposed technique, we carried out a case study where it was applied on some open source OO systems. The results showed that the proposed technique allowed to improve the precision of the DPs instances detected by the DPF tool
Ukrainian refugee crisis management in the local health authority Roma 1. The challenges of implementing public health policies and lessons learned
Background: The conflict between Russia and Ukraine has strained the health systems of countries that welcome war refugees on all levels, from national to local. Despite the Public Health guidelines regarding assistance being published on the topic, the scientific literature currently lacks evidence on the experience of applying theory in practice. This study aims to describe evidence-based practices that were implemented and to provide a detailed description of emerging problems and solutions pertaining Ukrainian refugee assistance in the context of one of the biggest Local Health Authorities in Italy (LHA Roma 1).
Methods: LHA Roma 1 developed a strategic plan based on local expertise, national and international guidelines to ensure infectious disease prevention and control, as well as continuity of care for non-communicable diseases and mental health.
Results: The insertion of Ukrainian refugees in the National Health System through an identification code assignment and other services such as COVID-19 swab and vaccination were provided either in one of the three major assistance hubs or in local district level ambulatories spread throughout the LHA. Many challenges were faced during the implementation phase of the outlined practice guidelines, which required sensible and timely solutions. These challenges include the necessity of rapid resource provision, overcoming linguistic and cultural barriers, guaranteeing a standard of care across multiple sites and coordination of interventions. Public Private Partnerships, the creation of a centralized multicultural and multidisciplinary team and the mutually beneficial collaboration with the local Ukrainian community were essential to guarantee the success of all operations.
Conclusions: The experience of LHA Roma 1 helps shed light on the importance of leadership in emergency settings and how a dynamic relationship between policy and practice would allow each intervention to be modulated according to the local environment, to better realize the potential of local realities to provide appropriate health interventions to all those in need
The CUORE cryostat: an infrastructure for rare event searches at millikelvin temperatures
The CUORE experiment is the world's largest bolometric experiment. The
detector consists of an array of 988 TeO2 crystals, for a total mass of 742 kg.
CUORE is presently taking data at the Laboratori Nazionali del Gran Sasso,
Italy, searching for the neutrinoless double beta decay of 130Te. A large
custom cryogen-free cryostat allows reaching and maintaining a base temperature
of about 10 mK, required for the optimal operation of the detector. This
apparatus has been designed in order to achieve a low noise environment, with
minimal contribution to the radioactive background for the experiment. In this
paper, we present an overview of the CUORE cryostat, together with a
description of all its sub-systems, focusing on the solutions identified to
satisfy the stringent requirements. We briefly illustrate the various phases of
the cryostat commissioning and highlight the relevant steps and milestones
achieved each time. Finally, we describe the successful cooldown of CUORE
Search for Neutrinoless Double-Beta Decay of Te with CUORE-0
We report the results of a search for neutrinoless double-beta decay in a
9.8~kgyr exposure of Te using a bolometric detector array,
CUORE-0. The characteristic detector energy resolution and background level in
the region of interest are FWHM and ~counts/(keVkgyr), respectively. The
median 90%~C.L. lower-limit sensitivity of the experiment is and surpasses the sensitivity of previous searches. We find
no evidence for neutrinoless double-beta decay of Te and place a
Bayesian lower bound on the decay half-life, ~ at 90%~C.L. Combining CUORE-0 data with the 19.75~kgyr
exposure of Te from the Cuoricino experiment we obtain at 90%~C.L.~(Bayesian), the most stringent
limit to date on this half-life. Using a range of nuclear matrix element
estimates we interpret this as a limit on the effective Majorana neutrino mass,
-- .Comment: 6 pages, 5 figures, updated version as published in PR
Analysis Techniques for the Evaluation of the Neutrinoless Double-Beta Decay Lifetime in Te with CUORE-0
We describe in detail the methods used to obtain the lower bound on the
lifetime of neutrinoless double-beta () decay in Te and
the associated limit on the effective Majorana mass of the neutrino using the
CUORE-0 detector. CUORE-0 is a bolometric detector array located at the
Laboratori Nazionali del Gran Sasso that was designed to validate the
background reduction techniques developed for CUORE, a next-generation
experiment scheduled to come online in 2016. CUORE-0 is also a competitive
decay search in its own right and functions as a platform to
further develop the analysis tools and procedures to be used in CUORE. These
include data collection, event selection and processing, as well as an
evaluation of signal efficiency. In particular, we describe the amplitude
evaluation, thermal gain stabilization, energy calibration methods, and the
analysis event selection used to create our final decay search
spectrum. We define our high level analysis procedures, with emphasis on the
new insights gained and challenges encountered. We outline in detail our
fitting methods near the hypothesized decay peak and catalog
the main sources of systematic uncertainty. Finally, we derive the
decay half-life limits previously reported for CUORE-0,
yr, and in combination with the Cuoricino
limit, yr.Comment: 18 pages, 18 figures. (Version 3 reflects only minor changes to the
text. Few additional details, no major content changes.
- …