Childbirth experience according to a group of Brazilian primiparas

Objective: to understand the meaning of the childbirth experience for Brazilian primiparas in the postpartum period. Design: a qualitative approach using semi-structured interviews. Content analysis was used to derive the two themes that emerged from the discourses. Setting: participants were recruited at four primary-level health-care units in Ribeirao Preto, Brazil. After providing written informed consent, an appointment was made for an interview at the participants' homes. Participants: 20 primiparas in the postpartum period, aged 15-26 years old, who attended the health-care units to vaccinate their infants and test for phenylketonuria. Findings: two thematic categories emerged from the interviews: the meaning attributed to childbirth (with four subcategories) and perceptions of care. Among the participants, the childbirth experience was marked by the 'fear of death' and 'losing the child'. The pain of giving birth was expected, and the moment of childbirth was associated with pain of high intensity. Key conclusions: childbirth is considered synonymous with physical and emotional suffering, pain, fear and risk of death. Implications for practice: this research indicates the need to break the current mechanistic model of care on which health professionals' actions are based. Care during childbirth must be guided by the foundation that women are the subjects of childbirth actions, in an attempt to emphasise actions that grant them with the autonomy and empowerment needed to experience the situation. (C) 2011 Elsevier Ltd. All rights reserved.

Detection of Genetic characterization of Porcine circovirus 2 (PCV2) in Brazilian wildlife boars

A semi-intensive wildlife boars farm presented a clinical history of high mortality in 70 - 90 days-old pigs (> 50 %). Two 90 days-old animals with weight loss and wasting were necropsied and the samples tested for PCV2 by polymerase chain reaction (PCR). The genetic material of PCV2 was sequenced and classified into the PCV2a genotype together with PCV2 sequences obtained from samples of Poland, Brazil, Slovenia and Greece wild boars.

A semi-supervised classification technique based on interacting forces

Semi-supervised learning is a classification paradigm in which just a few labeled instances are available for the training process. To overcome this small amount of initial label information, the information provided by the unlabeled instances is also considered. In this paper, we propose a nature-inspired semi-supervised learning technique based on attraction forces. Instances are represented as points in a k-dimensional space, and the movement of data points is modeled as a dynamical system. As the system runs, data items with the same label cooperate with each other, and data items with different labels compete among them to attract unlabeled points by applying a specific force function. In this way, all unlabeled data items can be classified when the system reaches its stable state. Stability analysis for the proposed dynamical system is performed and some heuristics are proposed for parameter setting. Simulation results show that the proposed technique achieves good classification results on artificial data sets and is comparable to well-known semi-supervised techniques using benchmark data sets.

Monte Carlo Semi-Empirical Model for Si(Li) X-Ray Detector: Differences between Nominal and Fitted Parameters.

A detailed characterization of a X-ray Si(Li) detector was performed to obtain the energy dependence of efficiency in the photon energy range of 6.4 - 59.5 keV. which was measured and reproduced by Monte Carlo (MC) simulations. Significant discrepancies between MC and experimental values were found when lhe manufacturer parameters of lhe detector were used in lhe simulation. A complete Computerized Tomagraphy (CT) detector scan allowed to find the correct crystal dimensions and position inside the capsule. The computed efficiencies with the resulting detector model differed with the measured values no more than 10% in most of the energy range.