First-episode psychosis and migration in Italy (PEP-Ita migration): a study in the Italian mental health services

BACKGROUND: It has been frequently reported a higher incidence of psychotic disorders in immigrants than in native populations. There is, however, a lack of knowledge about risk factors which may explain this phenomenon. A better understanding of the causes of psychosis among first-generation migrants is highly needed, particularly in Italy, a country with a recent massive migration. METHODS/DESIGN: The "Italian study on first-episode psychosis and migration (PEP-Ita)" is a prospective observational study over a two-year period (1 January 2012-31 December 2013) which will be carried out in 11 Italian mental health centres. All participating centres will collect data about all new cases of migrants with first-episode psychosis. The general purpose ("core") of the PEP-Ita study is to explore the socio-demographic and clinical characteristics, and the pathways to care of a population of first-episode psychosis migrants in Italy. Secondary aims of the study will be: 1) to understand risk and protective factors for the development of psychotic disorders in migrants; 2) to evaluate the correlations between psychopathology of psychotic disorders in migrants and socio-demographic characteristics, migration history, life experiences; 3) to evaluate the clinical and social outcomes of first-episode psychoses in migrants. DISCUSSION: The results of the PEP-Ita study will allow a better understanding of risk factors for psychosis in first-generation migrants in Italy. Moreover, our results will contribute to the development of prevention programmes for psychosis and to the improvement of early intervention treatments for the migrant population in Italy

Latest Advances in Thermal Energy Storage for Solar Plants

To address the growing problem of pollution and global warming, it is necessary to steer the development of innovative technologies towards systems with minimal carbon dioxide production. Thermal storage plays a crucial role in solar systems as it bridges the gap between resource availability and energy demand, thereby enhancing the economic viability of the system and ensuring energy continuity during periods of usage. Thermal energy storage methods consist of sensible heat storage, which involves storing energy using temperature differences; latent heat storage, which utilizes the latent heat of phase change materials; and thermochemical heat storage, which utilizes reversible chemical reactions through thermochemical materials. The objective of this review paper is to explore significant research contributions that focus on practical applications and scientific aspects of thermal energy storage materials and procedures. For each type of storage, different materials have been examined, taking into consideration the most recent studies, both for medium and long-term storage and, when possible, comparing methodologies for the same purpose. It has been observed that TCHS systems have the potential to reduce the volume of chemical storage tanks by 34 times using chemical reactions. Among the SHS materials, water, molten salts, and graphite exhibit the highest energy density, with graphite also possessing remarkable thermal conductivity. Nanoparticles can enhance the thermophysical properties of TES materials by increasing their thermal conductivity and wettability and improving intermolecular characteristics. The use of biobased PCMs for applications that do not require very high temperatures allows for maximizing the efficiency of such storage systems

Spacecraft telemetries analysis for anomaly detection functions

In spacecraft health management a large number of time series is acquired and used for on-board units surveillance and for historical data analyses. The lesson learnt from last decades in space segment Operations at Thales Alenia Space highlights that advanced monitoring systems are required to early detect abnormal behaviours and to prevent failures of satellites. A promising class of techniques is based on machine learning algorithms, which allow to inspect large amount of telemetries collected during years of in-flight spacecraft operational life. Such advanced approach exhibits several interesting capabilities for feature extraction, outliers detection and predictive analysis, based on learning from data. This paper presents the results of the analysis, implementation and testing of a novel feature extraction technique combined with anomaly detection algorithm, leveraging on our background on space segment engineering and operations

Telemedicine for type 2 diabetes during COVID-19 pandemic: experience from a tertiary diabetes center

BACKGROUND: Telemedicine was largely employed during COVID-19 pandemic to guarantee continuity of care in a period of dramatic reduction of face-to-face visits. The aim of this study was to describe the clinical characteristics of a cohort of patients with type 2 diabetes followed by tele-visits and to evaluate the changes in the glyco-metabolic control METHODS: This retrospective observational study included 136 adults aged >18 years with at least three tele-visits over a 12-month follow-up period, in a Diabetes Center of the Southern Italy, from April 2020 to March 2022. Data related to glycemic and lipid profile, therapy, presence of micro or macrovascular complications, and other clinical features were extracted at three time points, at first visit (T0), after 6 months (T1) and after 12 months (T2). RESULTS: Mean diabetes duration and median HbA1c values were 11.6 years and 7.0%, respectively. Thirty-eight participants (27.9%) presented macro- or microvascular complications. Glycemic control remained stable over time, without clinically significant changes of HbA1c (T0 vs. T1 vs. T2, median [IQR], 7.0 [6.2-7.3], 6.6 [6.0-7.5], 6.9 [6.2-7.5], P=0.095) and fasting glucose. Lipid profile slightly improved, although without significant clinical change. Glucose lowering therapy was modified in 84 patients (61.8%) and remained unchanged in 52 patients (38.2%) during the follow-up. No participant in the study developed any complications during the 12-month follow-up. CONCLUSIONS: People with type 2 diabetes followed by telemedicine were adults with fair glucose control generally free from chronic complications, whose diabetes control did not worsen during a 12-month follow-up

Reduced magnetic mismatch negativity: a shared deficit in psychosis and related risk

Background Abnormal auditory processing of deviant stimuli, as reflected by mismatch negativity (MMN), is often reported in schizophrenia (SCZ). At present, it is still under debate whether this dysfunctional response is specific to the full-blown SCZ diagnosis or rather a marker of psychosis in general. The present study tested MMN in patients with SCZ, bipolar disorder (BD), first episode of psychosis (FEP), and in people at clinical high risk for psychosis (CHR). Methods Source-based MEG activity evoked during a passive auditory oddball task was recorded from 135 patients grouped according to diagnosis (SCZ, BD, FEP, and CHR) and 135 healthy controls also divided into four subgroups, age- and gender-matched with diagnostic subgroups. The magnetic MMN (mMMN) was analyzed as event-related field (ERF), Theta power, and Theta inter-trial phase coherence (ITPC). Results The clinical group as a whole showed reduced mMMN ERF amplitude, Theta power, and Theta ITPC, without any statistically significant interaction between diagnosis and mMMN reductions. The mMMN subgroup contrasts showed lower ERF amplitude in all the diagnostic subgroups. In the analysis of Theta frequency, SCZ showed significant power and ITPC reductions, while only indications of diminished ITPC were observed in CHR, but no significant decreases characterized BD and FEP. Conclusions Significant mMMN alterations in people experiencing psychosis, also for diagnoses other than SCZ, suggest that this neurophysiological response may be a feature shared across psychotic disorders. Additionally, reduced Theta ITPC may be associated with risk for psychosis