Search results for "EIV"
showing 10 items of 833 documents
Central pain processing in patients with shoulder pain : a review of the literature
2017
Background Shoulder pain is a common health problem in which changes in shoulder structure cannot always explain the patient's perceived pain. Central sensitization (CS) might play a role in a subgroup of these patients. Methods The literature was systematically reviewed to address the role of CS in patients with shoulder pain. Electronic databases PubMed and Web of Knowledge were searched for relevant studies. Results Eighteen full-text articles were included, methodological quality was scored, and information was extracted. Studies were clustered on those studying patients with musculoskeletal (MSK) shoulder pain and those studying patients with hemiplegic shoulder pain (HSP). In particul…
Child abuse/neglect risk assessment under field practice conditions: Tests of external and temporal validity and comparison with heart disease predic…
2015
AbstractObjectives (1) Identify validation design and accuracy assessment standards for medical prognostic models applicable to evaluation of child abuse/neglect (CA/N) risk assessment models. (2) Assess the accuracy of the California Family Risk Assessment (CFRA) in predicting CA/N using the foregoing standards. (3) Compare the prediction accuracy of the CFRA with the prediction accuracy of coronary heart disease (CHD) prediction models. Questions addressed (1) What validation design and accuracy assessment standards are used to evaluate medical prognostic models? (2) What is the evidence for the accuracy of the CFRA using those standards? (3) How does the accuracy of the CFRA in predictin…
Cumulative Childhood Maltreatment and Non‐Suicidal Self‐Injury: the Mediating and Moderating Role of Perceived Social Support in a Sample of Universi…
2022
Non-suicidal self-injury (NSSI) in young adults is recognized as a major public health concern. Some studies have identi- fied cumulative childhood maltreatment (CCM) as a significant vulnerability factor for NSSI, although the nature of this association remains unclear. Specifically, some theorists have investigated the role of perceived social support (PSS), con- sidered an important factor closely associated with both CCM and NSSI. The aim of the current study was to simultaneously investigate the potential mediating and moderating role of PSS from family and friends in the association between CCM and NSSI in a university student sample. Participants were 474 students (73.4% female; Mage…
Comment favoriser des choix de goûters favorables à la santé au sein du binôme mère-enfant ? : effet d’une intervention « nutritionnelle » ou d’une i…
2020
In France, the midafternoon snack is a frequent habit among children usually characterized by the consumption of fatty, sweet and high-energy-dense foods. If eating behaviours remain flexible and can evolve throughout the life, they are already strongly established during childhood. In this context, improve food habits in terms of midafternoon snack seem important. The thesis aim was therefore to assess the effectiveness of levers aimed at promoting healthy snack choices within mother-child dyads. A first experiment was conducted in order to assess the impact of a nutritional labelling system, the Nutri-Score, on the nutritional quality and on the liking of the snacks chosen within mother-c…
Validation of the Italian version of the Devaluation consumers' Scale and the Devaluation Consumers Families Scale
2016
Objectives This study aimed to assess the psychometric properties of the Italian versions of the Devaluation of Consumers Scale (DCS) and the Devaluation of Consumer Families Scale (DCFS), twoshort-scales examining public stigma towards people with mental disorders and their relatives. Methods The scales were administered to 117 individuals with a clinical diagnosis of affective or non-affective psychoses (ICD 10 criteria F20-29, F30-33). Translation procedures were carried out according to accepted standards. Internal reliability was assessed using Cronbach’s alpha coefficient. Convergent validity was evaluated in terms of correlation with the Global Functioning Scale (GAF) and with the Qu…
Does Positive Thinking Help during Difficult Pandemic Times? The Role of Positive Orientation in the Relationship between Fear of COVID-19 and Percei…
2023
The COVID-19 pandemic has become a huge challenge for the modern world. How people perceive themselves and their coping abilities is important for their mental health and well-being. One of the traits that may be important in effectively coping with difficulties is positive orientation: a stable cognitive disposition that is the opposite of depression and is associated with a positive perception of oneself, one’s life, events, and the future. This study aimed to verify the role of positive orientation in the relationship between fear of COVID-19 and perceived stress. A sample of 907 Polish people took part in this study. FOC-6, P Scale, and PSS-10 questionnaires were used in the presented c…
Perfil del usuario de centros deportivos privados, según género, edad y nivel de antigüedad
2019
En los últimos años ha surgido una extrema necesidad de perfilar a los usuarios de instalaciones deportivas debido al crecimiento en el sector tratando de ser cada vez más competitivos adecuando la oferta a la demanda (Nuviala et al., 2014). El objetivo del presente estudio fue definir el perfil del usuario, en función de la calidad, satisfacción, valor percibido e inten- ciones futuras, analizando si éstas varían según el género, la edad y el nivel de antigüedad, en 481 socios de tres centros deportivos privados. Para ello, se les administró un cuestionario y se realizó una prueba t- para muestras independientes y un estudio de contraste grupo a grupo con la prueba t- del test de Scheffé y…
Indoor localization using time difference of arrival with UWB signals and unsynchronized devices
2020
Abstract Indoor location using radio frequency (RF) signals has been traditionally focused mainly on RSSI and fingerprint techniques, because methods based on time of arrival (ToA) or time difference of arrival (TDoA) were not suitable for measuring short distances. However, the release of the IEEE 802.15.4a standard, the emergence of commercial ultra wide band (UWB) transceivers that are compliant to this norm and the integration of high frequency oscillators have permitted the design of more accurate indoor localization systems using the RF signal transmission time. In this paper, we propose an indoor localization system based on TDoA for UWB. The method implements an only one way transmi…
Modelling and Analysis of Non-Stationary Multipath Fading Channels with Time-Variant Angles of Arrival
2017
In mobile radio channel modelling, it is generally assumed that the angles of arrival (AOAs) are independent of time. This assumption does in general not agree with real-world channels in which the AOAs vary with the position of a moving receiver. In this paper, we first present a mathematical model for the time-variant AOAs. This model serves as the basis for the development of two non-stationary multipath fading channels models. The statistical properties of both channel models are analysed with emphasis on the time-dependent autocorrelation function (ACF), time-dependent mean Doppler shift, time-dependent Doppler spread, and the Wigner-Ville spectrum. It is shown that these characteristi…
Deep Convolutional Neural Network for HEp-2 fluorescence intensity classification
2019
Indirect ImmunoFluorescence (IIF) assays are recommended as the gold standard method for detection of antinuclear antibodies (ANAs), which are of considerable importance in the diagnosis of autoimmune diseases. Fluorescence intensity analysis is very often complex, and depending on the capabilities of the operator, the association with incorrect classes is statistically easy. In this paper, we present a Convolutional Neural Network (CNN) system to classify positive/negative fluorescence intensity of HEp-2 IIF images, which is important for autoimmune diseases diagnosis. The method uses the best known pre-trained CNNs to extract features and a support vector machine (SVM) classifier for the …