International comovements, business cycle and inflation: a historical perspective

Using a dynamic factor model, we uncover four main empirical or international comovements in a long-run panel of real and nominal variables. First, the countribution of world comovements to domestic output growth has decreased over the post-WWII period. The contribution of regional comovements, however, has increased significantly. Second, the share of inflation variation due to a global factor has become larger since 1985. Third, over most of the post-WWII period, international comovements within regions have accounted for the bulk of fluctuations in business cycle and inflation. Fourth, prices have become significantly less countercyclical during the post-1984 sample, with the largest contribution due to external developments.Output growth; inflation; geographic identification; dynamic factor model

Expert web

By placing a component of the marine environment under controlled conditions, mesocosms provide important links between field studies and laboratory experiments. Project Leader Dr Paolo Simonelli and scientific site coordinators Drs Elin Lindehoff, Jamileh Javidpour, Romain Pete, Stella Berger and Tatiana Tsagaraki explain how they are opening up access to these unique resources for European scientist

Pupillometric analysis for assessment of gene therapy in Leber Congenital Amaurosis patients

Background: Objective techniques to assess the amelioration of vision in patients with impaired visual function are needed to standardize efficacy assessment in gene therapy trials for ocular diseases. Pupillometry has been investigated in several diseases in order to provide objective information about the visual reflex pathway and has been adopted to quantify visual impairment in patients with Leber Congenital Amaurosis (LCA). In this paper, we describe detailed methods of pupillometric analysis and a case study on three Italian patients affected by Leber Congenital Amaurosis (LCA) involved in a gene therapy clinical trial at two follow-up time-points: 1 year and 3 years after therapy administration. Methods: Pupillary light reflexes (PLR) were measured in patients who had received a unilateral subretinal injection in a clinical gene therapy trial. Pupil images were recorded simultaneously in both eyes with a commercial pupillometer and related software. A program was generated with MATLAB software in order to enable enhanced pupil detection with revision of the acquired images (correcting aberrations due to the inability of these severely visually impaired patients to fixate), and computation of the pupillometric parameters for each stimulus. Pupil detection was performed through Hough Transform and a non-parametric paired statistical test was adopted for comparison. Results: The developed program provided correct pupil detection also for frames in which the pupil is not totally visible. Moreover, it provided an automatic computation of the pupillometric parameters for each stimulus and enabled semi-automatic revision of computerized detection, eliminating the need for the user to manually check frame by frame. With reference to the case study, the amplitude of pupillary constriction and the constriction velocity were increased in the right (treated eye) compared to the left (untreated) eye at both follow-up time-points, showing stability of the improved PLR in the treated eye. Conclusions: Our method streamlined the pupillometric analyses and allowed rapid statistical analysis of a range of parameters associated with PLR. The results confirm that pupillometry is a useful objective measure for the assessment of therapeutic effect of gene therapy in patients with LCA

Fine-grained provenance for high-quality data science

In this work we analyze the typical operations of data preparation within a machine learning process, and provide infrastructure for generating very granular provenance records from it, at the level of individual elements within a dataset. Our contributions include: (i) the formal definition of a core set of preprocessing operators, (ii) the definition of provenance patterns for each of them, and (iii) a prototype implementation of an application-level provenance capture library that works alongside Python.</p

Extraversion and neuroticism in sexually dysfunctional men suffering from erectile dysfunction and premature ejaculation: a cross-sectional study

The role of personality traits in sexual complaints and dysfunctions is ever more evident. However, the literature is very scarce as to the possible relationships between such personality traits and specific sexual dysfunctions like ED, PE or both, their subtypes as to time of onset and severity levels. The main aim of the present study was to investigate if Neuroticism and Extraversion have different roles and trends in men suffering from PE and/or ED, both lifelong and acquired. Moreover, we verified if, by adopting DSM-IV-TR and DSM-5 criteria for diagnosing PE, some differences emerged in percentages of diagnosed cases. The sample consisted of 222 patients aged 18-70. The International Index of Erectile Function (IIEF-15) was used to assess erectile function, and the Premature Ejaculation Severity Index (PESI) was used to assess the severity of PE dysfunction. Neuroticism and Extraversion were measured with the Eysenck Personality Questionnaire-Revised (EPQ-R). In our results, Neuroticism and Extraversion were dependent on the kind of sexual dysfunction and its severity. These results suggest that type, time of onset and severity of sexual dysfunctions should be considered as related to specific personality characteristics and vice versa

Research and Intervention for Drug-Addicted Mothers and Their Children: New Perspectives

According to research carried out by the EMCDDA, drug-addicted women in Europe account for at least one quarter of the total European population consuming illicit substances (Emcdda, 2006a). A specific research platform entitled \u201cWomen and Drugs\u201d was created within the context of the second European project \u201cDemocracies, Cities and Drugs.\u201d This platform is focused on what characterizes and distinguishes female substance addiction from male substance addiction: its manifestation, its attributes, and the interventions or services which can be put into effect while devoting special attention and offering specialized care to this phenomenon. Our findings confirm that women substance users are exposed to a great number of risks such as medical, social, economic, familial and psychopathological risks requiring intervention through specific tools and aimed responses (see Brentari, Hernandez, Tripodi, 2011). The investigated factors included pregnancy, parenthood and the well-being as well as development of the child, while taking into account institutional and ethical reflections regarding this complex theme. The substance abuse phenomenon indeed affects a high number of fertile women. When drugs are consumed during pregnancy, they can have serious, direct and indirect effects on the postpartum development with subsequent effects on the child (OTIS, 2010). Substance abusing mothers represent an at-risk parenting situation which, in turn, profoundly influences the quality of the mother-child relationship. The awareness of these at-risk situations for children along with the widely accepted notion that ideally, children should always be raised by their mothers led to the introduction of residential treatment in Italy. These services deal with maternal pathologies and provide care and assistance for children; in fact, these therapeutic communities accommodate addicted mothers as well as their children. Up until recently, therapies for children (particularly medical ones) were administered by institutions outside of the community, while no therapeutic treatment was mandated for minors. The first therapeutic communities for drug addicted mothers and their children appeared in Europe in the early nineties. These institutions must provide assistance to children and assure them the greatest possible social, psychological and physical well-being. In addition to the funds available for each mother, funds for each individual minor are made available on a daily basis. Our project: \u201cResearch and intervention on minors in communities for addicted mothers and their children: from at-risk parenting to child wellbeing\u201d was promoted within this specific intervention framework. The project aims to secure child well-being by assessing maternal parenting as well as by carrying out direct and indirect observations of the child, his/her caregivers and the caregiver-child relationship. At the same time, the most suitable intervention for each single subject is put into effect

Automatic Detection of Genetic Diseases in Pediatric Age Using Pupillometry

Inherited retinal diseases cause severe visual deficits in children. They are classified in outer and inner retina diseases, and often cause blindness in childhood. The diagnosis for this type of illness is challenging, given the wide range of clinical and genetic causes (with over 200 causative genes). It is routinely based on a complex pattern of clinical tests, including invasive ones, not always appropriate for infants or young children. A different approach is thus needed, that exploits Chromatic Pupillometry, a technique increasingly used to assess outer and inner retina functions. This paper presents a novel Clinical Decision Support System (CDSS), based on Machine Learning using Chromatic Pupillometry in order to support diagnosis of Inherited retinal diseases in pediatric subjects. An approach that combines hardware and software is proposed: a dedicated medical equipment (pupillometer) is used with a purposely designed custom machine learning decision support system. Two distinct Support Vector Machines (SVMs), one for each eye, classify the features extracted from the pupillometric data. The designed CDSS has been used for diagnosis of Retinitis Pigmentosa in pediatric subjects. The results, obtained by combining the two SVMs in an ensemble model, show satisfactory performance of the system, that achieved 0.846 accuracy, 0.937 sensitivity and 0.786 specificity. This is the first study that applies machine learning to pupillometric data in order to diagnose a genetic disease in pediatric age

Analysis of Corneal Deformation in Paediatric Patients Affected by Maturity Onset Diabetes of the Young Type 2

Abstract Background: To evaluate corneal deformation in Maturity Onset Diabetes of the Young type 2 (MODY2), paediatric subjects were analysed using a Scheimpflug-based device. The purpose of this analysis was to find new biomarkers for MODY2 disease and to gain a better understanding of the pathogenesis of the disease. Methods: A total of 15 patients with genetic and metabolic diagnoses of MODY2 (mean age 12.8 ± 5.66 years) and 15 age-matched healthy subjects were included. The biochemical and anthropometric data of MODY2 patients were collected from clinical records, and a complete ophthalmic check with a Pentacam HR EM-3000 Specular Microscope and Corvis ST devices was performed in both groups. Results: Highest concavity (HC) deflection length, Applanation 1 (A1) deflection amplitude, and A1 deflection area showed significantly lower values in MODY2 patients compared to healthy subjects. A significant positive correlation was observed between Body Mass Index (BMI) and HC deflection area and between waist circumference (WC) and the following parameters: maximum deformation amplitude, HC deformation amplitude, and HC deflection area. The glycosylated hemoglobin level (HbA1c) showed a significant positive correlation with Applanation 2 time and HC time. Conclusions: The obtained results show, for the first time, differences regarding corneal distortion features in the MODY2 population compared with healthy eyes

Psychometric testing of the caregiver contribution to self-care of coronary heart disease inventory

Background: Caregivers are important contributors to the self-care of patients with coronary heart disease (CHD). Aims: The aims of this study are to describe the development and psychometric properties of the caregiver contribution to self-care of coronary heart disease inventory (CC-SC-CHDI). Methods: The CC-SC-CHDI was developed from the patient version of the scale, the Self-care of Coronary Heart Disease Inventory (SC-CHDI) and translated into Italian using forward and backward translation. Baseline data from the HEARTS-IN-DYADS study were used. Confirmatory factor analysis (CFA) was conducted to assess factorial validity; Cronbach's alpha and the model-based internal consistency index were used to test internal consistency reliability, and Pearson's correlation coefficient was used to test convergent validity, by investigating the association between the CC-SC-CHDI and the SC-CHDI scores. Results: We included 131 caregivers (mean age 55 years, 81.2% females, 74% married) of patients affected by CHD (mean age 66 years, 80.2% males, 74% married). The CFA confirmed two factors in the caregiver contribution to self-care maintenance scale ("consulting behaviors" and "autonomous behaviors"), one factor for the CC to self-care monitoring scale, and two factors in the CC to self-care management scale ("consulting behaviors and problem-solving behaviors"). Reliability estimates were adequate for each scale (Cronbach's alpha and model-based internal consistency indexes ranging from 0.73 to 0.90). Significant and positive correlations were observed between CC-SC-CHDI and SC-CHDI scales. Conclusion: The CC-SC-CHDI has satisfactory validity and reliability and can be used confidently in clinical settings and research to assess caregiver contributions to CHD self-care

Pupillometry via smartphone for low-resource settings

The photopupillary reflex regulates the pupil reaction to changing light conditions. Being controlled by the autonomic nervous system, it is a proxy for brain trauma and for the conditions of patients in critical care. A prompt evaluation of brain traumas can save lives. With a simple penlight, skilled clinicians can do that, whereas less specialized ones have to resort to a digital pupilometer. However, many low-income countries lack both specialized clinicians and digital pupilometers. This paper presents the early results of our study aiming at designing, prototyping and validating an app for testing the photopupillary reflex via Android, following the European Medical Device Regulation and relevant standards. After a manual validation, the prototype underwent a technical validation against a commercial Infrared pupilometer. As a result, the proposed app performed as well as the manual measurements and better than the commercial solution, with lower errors, higher and significant correlations, and significantly better Bland-Altman plots for all the pupillometry-related measures. The design of this medical device was performed based on our expertise in low-resource settings. This kind of environments imposes more stringent design criteria due to contextual challenges, including the lack of specialized clinicians, funds, spare parts and consumables, poor maintenance, and harsh environmental conditions, which may hinder the safe operationalization of medical devices. This paper provides an overview of how these unique contextual characteristics are cascaded into the design of an app in order to contribute to the Sustainable Development Goal 3 of the World Health Organization: Good health and well-being