P02-203 Representation of HIV/Aids and mental health co-morbidity in medical and social sciences literature

Introduction:Aim of this article is to explore the ways in which, over the last 25 years, knowledge about HIV/Aids and Mental Health co-morbidity has been represented within medical and social sciences literature.Methods:The study has been conducted on the texts of 1101 published manuscripts abstracts within from 1984 to 2008, referring to 379 different journals and retrieved on PUBMED database. It was used the following database search string: ("mental health"[Title/Abstract]) or ("mental illness"[Title/Abstract]) AND (("aids"[Title/Abstract]) or ("hiv"[Title/Abstract]))). A Computer Aided Text Analysis was conducted with dedicated software: T-Lab (Lancia) using Cluster Analysis.Results:Cluster Analysis allowed to identify five different main dimensions: 1:(27,68%) Health-care Service organizational development; 2: (22,10%) Mental health as empowering precursor of infection risks. 3: (8,58%) Quality of life; 4: (19,17%). Therapies and treatments' research; 5: (22,46%) Psychological issues, emotions and distress correlated to seropositive patients and their caregivers. Figure 1 it is a way to outline the five clusters literature trends over the time of 25 years.Conclusions:Our review could help to identify particular areas in need of change, to provide a baseline against which to assess future changes and to provide data for use in research health planning and policy analysis

Tensor Methods for Nonlinear Matrix Completion

In the low rank matrix completion (LRMC) problem, the low rank assumption means that the columns (or rows) of the matrix to be completed are points on a low-dimensional linear algebraic variety. This paper extends this thinking to cases where the columns are points on a low-dimensional nonlinear algebraic variety, a problem we call Low Algebraic Dimension Matrix Completion (LADMC). Matrices whose columns belong to a union of subspaces (UoS) are an important special case. We propose a LADMC algorithm that leverages existing LRMC methods on a tensorized representation of the data. For example, a second-order tensorization representation is formed by taking the outer product of each column with itself, and we consider higher order tensorizations as well. This approach will succeed in many cases where traditional LRMC is guaranteed to fail because the data are low-rank in the tensorized representation but not in the original representation. We also provide a formal mathematical justification for the success of our method. In particular, we show bounds of the rank of these data in the tensorized representation, and we prove sampling requirements to guarantee uniqueness of the solution. Interestingly, the sampling requirements of our LADMC algorithm nearly match the information theoretic lower bounds for matrix completion under a UoS model. We also provide experimental results showing that the new approach significantly outperforms existing state-of-the-art methods for matrix completion in many situations

Interval Fuzzy Model for Robust Aircraft IMU Sensors Fault Detection

This paper proposes a data-based approach for a robust fault detection (FD) of the inertial measurement unit (IMU) sensors of an aircraft. Fuzzy interval models (FIMs) have been introduced for coping with the significant modeling uncertainties caused by poorly modeled aerodynamics. The proposed FIMs are used to compute robust prediction intervals for the measurements provided by the IMU sensors. Specifically, a nonlinear neural network (NN) model is used as central prediction of the sensor response while the uncertainty around the central estimation is captured by the FIM model. The uncertainty has been also modelled using a conventional linear Interval Model (IM) approach; this allows a quantitative evaluation of the benefits provided by the FIM approach. The identification of the IMs and of the FIMs was formalized as a linear matrix inequality (LMI) optimization problem using as cost function the (mean) amplitude of the prediction interval and as optimization variables the parameters defining the amplitudes of the intervals of the IMs and FIMs. Based on the identified models, FD validation tests have been successfully conducted using actual flight data of a P92 Tecnam aircraft by artificially injecting additive fault signals on the fault free IMU readings

P02-178 HIV/Aids and mental illness dual diagnosis: Exploring healthcare professionals' perspective

Aims:A growing body of scientific literature emphasizes a strong linkage between HIV/Aids and serious mental illness. In the Italian context, specialized services for combined management of dual diagnosis are increasingly requested, and healthcare professionals (HPWs) have to face up the difficulty emerging by this new situation. To bridge these gaps, the present study aimed at studying the representations of dual diagnosis, analyzing HPWs' experiences from their own perspectives, in order to understand their difficulty and create future good practices in healthcare services.Method:A quali-quantitative study was conducted with a multidisciplinary sample of professionals (N=91), drawn by HIV/Aids and Mental Health sites. Due to the exploratory nature of the research, data were collected from semi-structured interviews: HPWs were asked about their work experiences with HIV/Aids and Mental Illness. The interviews were fully audio-taped and verbatim transcribed. A computer-aided lexical correspondence analysis was conducted by a dedicated text-analysis software.Results:Data analysis showed out two main factorial dimensions: the first regarding the representation of the "Management of dual diagnosis within Health Services", and the second one referring to the "categorization of HIV/Aids-Mental Illness co-morbidity". Furthermore, four different Representational Conceptions were highlighted, corresponding to as many different ways HPWs use to represent/depict the aims of Health Service in relation to HIV/Aids-Mental Illness co-morbidity.Conclusion:This study reveals that socio-cultural meanings of dual diagnosis are not fixed; rather, they are ongoing co-constructed within the activities carried out by the HPWs involved in their specific health contexts in the exercise of their profession

Dietary oregano (Origanum vulgare L.) aqueous extract improves oxidative stability and consumer acceptance of meat enriched with CLA and n-3 PUFA in broilers.

Abstract The effect of a dietary oregano aqueous extract on meat fatty acid profile, quality, and consumer acceptance in chickens fed a diet rich in polyunsaturated fatty acids (PUFA) was evaluated in 3 consecutive trials. For each trial, 171 day-old Ross 308 chicks were randomly divided in replicates of 19 birds each and assigned to one of 3 experimental diets: 1) basal control diet, 2) basal diet supplemented with 0.2 g/kg of oregano aqueous extract, and 3) basal diet supplemented with 150 ppm of vitamin E (as positive control). To better analyze the antioxidant activity of both oregano and vitamin E, all the experimental diets were enriched with a fatty acid supplement consisting in a mixture of PUFA at the same dose (1.16 %) in both starter and finisher feeds. Oregano supplementation positively influenced (P Results obtained in the present study allow stating that using oregano aqueous extract in diets enriched with PUFA can represent a valid solution to increase live weight of chickens, improve resistance to oxidation of meat, and positively influence consumer perception of poultry meat

Scratching the scale labyrinth

In this paper, we introduce a new approach to computer-aided microtonal improvisation by combining methods for (1) interactive scale navigation, (2) real-time manipulation of musical patterns and (3) dynamical timbre adaption in solidarity with the respective scales. On the basis of the theory of well-formed scales we offer a visualization of the underlying combinatorial ramifications in terms of a scale labyrinth. This involves the selection of generic well-formed scales on a binary tree (based on the Stern-Brocot tree) as well as the choice of specific tunings through the specification of the sizes of a period (pseudo-octave) and a generator (pseudo-fifth), whose limits are constrained by the actual position on the tree. We also introduce a method to enable transformations among the modes of a chosen scale (generalized and refined “diatonic” and “chromatic” transpositions). To actually explore the scales and modes through the shaping and transformation of rhythmically and melodically interesting tone patterns, we propose a playing technique called Fourier Scratching. It is based on the manipulation of the “spectra” (DFT) of playing gestures on a sphere. The coordinates of these gestures affect score and performance parameters such as scale degree, loudness, and timbre. Finally, we discuss a technique to dynamically match the timbre to the selected scale tuning