Sexual behaviour in untreated and treated coeliac patients

BACKGROUND: Sexual behaviour is often altered in chronic illness. AIM: To evaluate sexual behaviour in coeliac patients before and after treatment with a gluten-free diet. PATIENTS: Fifty-five adults with coeliac disease and 51 age- and sex-matched healthy controls. METHODS: Routine clinical and laboratory work-up was used for diagnosis of coeliac disease. Age of first sexual intercourse, prevalence of individuals who were sexually active, frequency of intercourse, reduction in sexual desire, difficulty in attaining orgasm, pain during intercourse, and prevalence of individuals defining themselves as satisfied with their sexual life were investigated by an anonymous, self-administered questionnaire administered before and after one year's treatment with a gluten-free diet in coeliac patients, and only once in controls. Analyses included clinical conditions, demographic and socio-economic data. RESULTS: Compared with controls, untreated coeliac patients had a significantly lower frequency of intercourse and a lower prevalence of individuals satisfied with their sexual life. Patients with overt and subclinical coeliac disease did not show significant differences for any indices of sexual behaviour. Compared with untreated conditions, coeliac patients after one year of treatment had improved values for all indices of sexual behaviour: differences were significant for frequency of intercourse and prevalence of individuals satisfied with their sexual life. CONCLUSION: Untreated coeliac disease, even in its subclinical presentation, is associated with disorders in sexual behaviour which are improved by the dietary treatment.     

Creating an Holistic Emergency Alert Management Platform

ABSTRACT

Extreme natural events require effective emergency procedures to minimize adverse effects on a region’s population and economy. Such procedures typically involve the effort of several different teams of first responders (e.g., fire fighters, public administrations, police departments, utility companies), hence coordination is fundamental to the effectiveness of the response to the emergency that must be supported with adequate infrastructures. Nonetheless, first responders often rely on manual processes, in the life cycle of extreme events, which do not change consistently with the type of shock or affected population. The aim of this paper is to present a technology transfer process to improve both the emergency alert process and the knowledge of disaster-type safety procedures through the implementation of a proposed platform. We also highlight a pilot application on a post-disaster case study—the province of L’Aquila (Abruzzi) in Italy.     

Sorption of humic acids by a zeolite-feldspar-bearing tuff in batch and fixed-bed column

The sorption of humic acids (HA) on zeolite-feldspar-bearing Phlegraean Yellow Tuff enriched with calcium ions has been investigated at neutral pH both on fixed-bed columns and in batch. A two-step sorption kinetics and a relatively long time to reach the equilibrium were observed in batch. In line with this behaviour, the breakthrough curves and shipping curves from exhaust columns showed distinctive properties that cannot be easily modelled by the common mass balance equations; noteworthy, the breakthrough curves were dependent on the space velocity also for very slow processes and the bed sorption capacity decreased linearly with the space velocity. Moreover, after an initial high-rate burst, HA desorption from exhausted columns proceeded at a very slow rate, particularly so for columns loaded with higher amounts of HA.     

AQP4-MOG Double-Positive Neuromyelitis Optica Spectrum Disorder: Case Report with Central and Peripheral Nervous System Involvement and Review of Literature

(1) The co-occurrence of AQP4 and myelin oligodendrocyte glycoprotein (MOG) antibodies in patients with demyelinating disorders is extremely rare. In addition, a concomitant involvement of the peripheral nervous system (PNS) has been described either in association with AQP4 antibodies-positive neuromyelitis optica spectrum disorder (NMOSD), or MOG-associated disease. We report on a case of NMOSD with co-occurrence of AQP4 and MOG antibodies and concomitant central and peripheral nervous system involvement. We also reviewed available cases of AQP4-MOG double-positive patients. (2) Brain and spine MRI, cerebrospinal fluid studies, and electrophysiological test were performed. Serum AQP4 and MOG positivity was assessed with live cell-based assay. (3) A 62-year-old woman presented with recurrent optic neuritis, myelitis, and radiculitis, tested positive for AQP4 and MOG antibodies, and was treated successfully with rituximab. (4) Although few cases of AQP4-MOG double-positive patients were already described mostly affecting females with a concomitant spinal cord and optical nerve involvement, we describe the first case of double-positive NMOSD with the peculiar involvement of both central and peripheral nervous system.     

Comparative performance analysis of some extrapolative estimatorsof probability tails

In some applications, estimation of probabilities of the order of 10^-6 or lower is required. Extrapolative methods based on extreme value theory (EVT) and generalized extreme value theory (GEVT) are considered. They give a closed-form approximation of the probability tail in terms of two or three parameters, respectively. A Monte Carlo simulation study was carried out to assess EVT and GEVT estimators' performances with respect to several factors, such as estimation methods, initial distribution, sample size, and partition of the initial sample. It was found that the GEVT estimators are consistently more efficient, while achieving a substantial sample-size saving with respect to the conventional counting procedure. Some applications to estimation problems encountered in radar systems design are considered     

The LAST operation: techniques and results before and after the stabilization era

BACKGROUND: Left anterior descending artery stabilization allows performance of left internal mammary artery grafting via a left anterior small thoracotomy on a beating heart. Our surgical experience was reviewed to assess if surgical results have improved as result of specialized instrumentation. METHODS: Of 545 patients who had the left anterior small thoracotomy operation, 261 underwent this procedure for single left anterior descending artery disease. Two groups were considered, before and after the use of specialized instrumentation: group A (n = 93), operated on from November 21, 1994, to April 20, 1996; and group B (n = 168), operated on from April 21, 1996, to December 1997. RESULTS: Early mortality was similar in the two groups. The further revascularization (operation or percutaneous transluminal coronary angioplasty) and the rate of occlusion of the conduit were higher in group A, whereas anastomotic or conduit malfunction was not. Cumulating angiography and Doppler flow evaluation, 92.5% of the anastomoses in group A and 98.8% in group B (p = 0.026) were patent, and 90.3% in group A and 97.6% in group B (p = 0.031) were patent and not restrictive. At 19 months, survival was similar, but the event-free survival was higher in group B. CONCLUSIONS: Both left anterior descending artery stabilization and safer left internal mammary artery harvesting contributed to improve angiographic and clinical results after the left anterior small thoracotomy operation.     

MIKADO: a smart city KPIs assessment modeling framework

Smart decision making plays a central role for smart city governance. It exploits data analytics approaches applied to collected data, for supporting smart cities stakeholders in understanding and effectively managing a smart city. Smart governance is performed through the management of key performance indicators (KPIs), reflecting the degree of smartness and sustainability of smart cities. Even though KPIs are gaining relevance, e.g., at European level, the existing tools for their calculation are still limited. They mainly consist in dashboards and online spreadsheets that are rigid, thus making the KPIs evolution and customization a tedious and error-prone process. In this paper, we exploit model-driven engineering (MDE) techniques, through metamodel-based domain-specific languages (DSLs), to build a framework called MIKADO for the automatic assessment of KPIs over smart cities. In particular, the approach provides support for both: (i) domain experts, by the definition of a textual DSL for an intuitive KPIs modeling process and (ii) smart cities stakeholders, by the definition of graphical editors for smart cities modeling. Moreover, dynamic dashboards are generated to support an intuitive visualization and interpretation of the KPIs assessed by our KPIs evaluation engine. We provide evaluation results by showing a demonstration case as well as studying the scalability of the KPIs evaluation engine and the general usability of the approach with encouraging results. Moreover, the approach is open and extensible to further manage comparison among smart cities, simulations, and KPIs interrelations.

     

Correction to: Evaluation of a machine learning classifier for metamodels

Software and Systems Modeling -     

Behavior of the electrocardiographic and spirographic parameters in athletes practicing rowing who have at the same time taken an anti-inflammatory drug

The AA. studied the effects of a new anti-inflammatory drug on some spirographic and electrocardiographic parameters in a group of oarsmen. The results show a not significant changes of these parameters after drug engagement. The variations found are to be ascribed to the training.