28 resultados para MATERNAL-FETAL INTERACTION
em Universidade do Minho
Resumo:
To determine differences between pregnant women diagnosed with Dysthymia versus Major Depression, depressed pregnant women (N=102) were divided by their diagnosis into Dysthymic (N=48) and Major Depression (N=54) groups and compared on self-report measures (depression, anxiety, anger, daily hassles and behavioral inhibition), on stress hormone levels (cortisol and norepinephrine), and on fetal measurements. The Major Depression group had more self-reported symptoms. However, the Dysthymic group had higher prenatal cortisol levels and lower fetal growth measurements (estimated weight, femur length, abdominal circumference) as measured at their first ultrasound (M=18 weeks gestation). Thus, depressed pregnant women with Dysthymia and Major Depression appeared to have different prenatal symptoms.
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"Published online: 15 Sep 2015."
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Noting that maternal depression is common during a baby's first year, this study examined the interaction of depressed and non-depressed mother-child dyads. A sample of 26 first-time mothers with postpartum depression at the third month after birth and their 3-month-old infants was compared to a sample of 25 first-time mothers with no postpartum depression at the third month after birth and their 3-month-old infants. The observations were repeated at 6 months and again at 12 months postpartum. The samples were compared for differences in mother interaction behavior, mother's infant care, mother's concern with the baby, infant behavioral difficulties, infant mental and motor development, and infant behavior with the observer. Among the findings are the following: (1) depressed mothers' interaction behavior and care of their infants are less adequate than the non-depressed mothers' interaction behavior and care of their infants at 3, 6, and 12 months postpartum; (2) infants' interaction behaviors during feeding and face-to-face interaction with depressed mothers are less adequate than infants' interactions with non-depressed mothers at 3, 6, and 12 months postpartum; (3) mother-infant interactions are less adequate in the depressed mother dyads than the non-depressed dyads at 3, 6, and 12 months postpartum; (4) depressed mothers are less concerned about their infants than non-depressed mothers at 3, 6, and 12 months postpartum; (5) infants of depressed mothers have more behavioral difficulties at 3, 6, and 12 months postpartum than infants of non-depressed mothers; (6) infants of depressed mothers had lower mental and motor development rates at 6 and 12 months postpartum than infants of non-depressed mothers; and (7) infants of non-depressed mothers behaved in a more positive way with the observer than the infants of depressed mothers. (AS)
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O bebé humano, quando nasce, trás consigo uma diversidade de competências que lhe garantem uma pré adaptação e a sua sobrevivência no meio extrauterino. Este estudo tem como objectivo avaliar a preferência e a habituação do recém-nascido pela face/voz da mãe vs. uma pessoa estranha, bem como a identificação de variáveis que possam influenciar estas competências. A amostra, constituída por 50 bebés (com 1 a 5 dias de vida), foi avaliada através do paradigma da “preferência e habituação pela face/voz da mãe vs estranha” - uma situação experimental que envolve a participação da mãe e de duas figuras estranhas ao bebé, com o objectivo de avaliar o tempo que o bebé olha para cada pessoa, em três fases diferentes: 1) preferência, 2) habituação e 3) pós-habituação. Os resultados mostram a preferência pela face/voz da mãe, em detrimento da pessoa estranha. Porém, observa-se que, da fase de preferência para a fase de pós habituação, o tempo que o bebé olha para a mãe diminui e aumenta o tempo que olha para a figura estranha. Algumas características dos bebés (e.g., índice ponderal > 2.50) e das mães (e.g., coabitação, emprego) surgem relacionadas com resultados mais favoráveis (e.g., maior preferência pela face/voz da mãe na fase de preferência do que de pós-habituação e uma mais rápida resposta de habituação ao estímulo materno). Concluímos que, logo nos primeiros dias de vida, são observadas diferenças no comportamento dos recém-nascidos com a mãe e com uma estranha, o que pode condicionar o desenvolvimento do bebé e uma interacção adequada com a mãe.
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The aim of this study is evaluating the interaction between several base pen grade asphalt binders (35/50, 50/70, 70/100, 160/220) and two different plastic wastes (EVA and HDPE), for a set of new polymer modified binders produced with different amounts of both plastic wastes. After analysing the results obtained for the several polymer modified binders evaluated in this study, including a commercial modified binder, it can be concluded that the new PMBs produced with the base bitumen 70/100 and 5% of each plastic waste (HDPE or EVA) results in binders with very good performance, similar to that of the commercial modified binder.
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Hand gesture recognition for human computer interaction, being a natural way of human computer interaction, is an area of active research in computer vision and machine learning. This is an area with many different possible applications, giving users a simpler and more natural way to communicate with robots/systems interfaces, without the need for extra devices. So, the primary goal of gesture recognition research is to create systems, which can identify specific human gestures and use them to convey information or for device control. For that, vision-based hand gesture interfaces require fast and extremely robust hand detection, and gesture recognition in real time. In this study we try to identify hand features that, isolated, respond better in various situations in human-computer interaction. The extracted features are used to train a set of classifiers with the help of RapidMiner in order to find the best learner. A dataset with our own gesture vocabulary consisted of 10 gestures, recorded from 20 users was created for later processing. Experimental results show that the radial signature and the centroid distance are the features that when used separately obtain better results, with an accuracy of 91% and 90,1% respectively obtained with a Neural Network classifier. These to methods have also the advantage of being simple in terms of computational complexity, which make them good candidates for real-time hand gesture recognition.
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Hand gestures are a powerful way for human communication, with lots of potential applications in the area of human computer interaction. Vision-based hand gesture recognition techniques have many proven advantages compared with traditional devices, giving users a simpler and more natural way to communicate with electronic devices. This work proposes a generic system architecture based in computer vision and machine learning, able to be used with any interface for human-computer interaction. The proposed solution is mainly composed of three modules: a pre-processing and hand segmentation module, a static gesture interface module and a dynamic gesture interface module. The experiments showed that the core of visionbased interaction systems could be the same for all applications and thus facilitate the implementation. For hand posture recognition, a SVM (Support Vector Machine) model was trained and used, able to achieve a final accuracy of 99.4%. For dynamic gestures, an HMM (Hidden Markov Model) model was trained for each gesture that the system could recognize with a final average accuracy of 93.7%. The proposed solution as the advantage of being generic enough with the trained models able to work in real-time, allowing its application in a wide range of human-machine applications. To validate the proposed framework two applications were implemented. The first one is a real-time system able to interpret the Portuguese Sign Language. The second one is an online system able to help a robotic soccer game referee judge a game in real time.
Resumo:
Hand gestures are a powerful way for human communication, with lots of potential applications in the area of human computer interaction. Vision-based hand gesture recognition techniques have many proven advantages compared with traditional devices, giving users a simpler and more natural way to communicate with electronic devices. This work proposes a generic system architecture based in computer vision and machine learning, able to be used with any interface for humancomputer interaction. The proposed solution is mainly composed of three modules: a pre-processing and hand segmentation module, a static gesture interface module and a dynamic gesture interface module. The experiments showed that the core of vision-based interaction systems can be the same for all applications and thus facilitate the implementation. In order to test the proposed solutions, three prototypes were implemented. For hand posture recognition, a SVM model was trained and used, able to achieve a final accuracy of 99.4%. For dynamic gestures, an HMM model was trained for each gesture that the system could recognize with a final average accuracy of 93.7%. The proposed solution as the advantage of being generic enough with the trained models able to work in real-time, allowing its application in a wide range of human-machine applications.
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Novel input modalities such as touch, tangibles or gestures try to exploit human's innate skills rather than imposing new learning processes. However, despite the recent boom of different natural interaction paradigms, it hasn't been systematically evaluated how these interfaces influence a user's performance or whether each interface could be more or less appropriate when it comes to: 1) different age groups; and 2) different basic operations, as data selection, insertion or manipulation. This work presents the first step of an exploratory evaluation about whether or not the users' performance is indeed influenced by the different interfaces. The key point is to understand how different interaction paradigms affect specific target-audiences (children, adults and older adults) when dealing with a selection task. 60 participants took part in this study to assess how different interfaces may influence the interaction of specific groups of users with regard to their age. Four input modalities were used to perform a selection task and the methodology was based on usability testing (speed, accuracy and user preference). The study suggests a statistically significant difference between mean selection times for each group of users, and also raises new issues regarding the “old” mouse input versus the “new” input modalities.
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The use of buffers to maintain the pH within a desired range is a very common practice in chemical, biochemical and biological studies. Among them, zwitterionic N-substituted aminosulfonic acids, usually known as Good's buffers, although widely used, can complex metals and interact with biological systems. The present work reviews, discusses and updates the metal complexation characteristics of thirty one commercially available buffers. In addition, their impact on biological systems is also presented. The influences of these buffers on the results obtained in biological, biochemical and environmental studies, with special focus on their interaction with metal ions, are highlighted and critically reviewed. Using chemical speciation simulations, based on the current knowledge of the metal-buffer stability constants, a proposal of the most adequate buffer to employ for a given metal ion is presented.
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Dissertação de mestrado integrado em Psicologia
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O presente artigo tem por objetivo validar uma versão adaptada do Partner Interaction Questionnaire (PIQ), instrumento que avalia o suporte para deixar de fumar dado pelo parceiro. É apresentada uma versão adaptada do PIQ para fumantes e abstinentes. Participaram no estudo 224 fumantes (52.7% do sexo feminino e 47.3% do sexo masculino; média de idades=28.6 anos; DP=8.69) e 169 ex-fumantes (68.6% do sexo masculino e 31.4% do sexo feminino; média de idades= 43.1 anos; DP=13.02). O instrumento apresentou boa fidelidade (alfa de Cronbach: 0.73) para a subescala positiva e para a subescala negativa (alfa de Cronbach: 0.77). O estudo de validade revelou a presença de dois fatores que explicam 43.36% da variância. O instrumento apresenta boa validade de construto, correlacionando-se positivamente com o ajustamento de casais e a qualidade de vida mental, e negativamente com a depressão. Esta versão adaptada do PIQ reuniu as condições necessárias para a sua aplicação em fumantes e ex-fumantes, podendo ser uma escala útil em programas de intervenção de cessação tabágica e de manutenção da abstinência.
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The Great Lakes lie within a region of East Africa with very high human genetic diversity, home of many ethno-linguistic groups usually assumed to be the product of a small number of major dispersals. However, our knowledge of these dispersals relies primarily on the inferences of historical, linguistics and oral traditions, with attempts to match up the archaeological evidence where possible. This is an obvious area to which archaeogenetics can contribute, yet Uganda, at the heart of these developments, has not been studied for mitochondrial DNA (mtDNA) variation. Here, we compare mtDNA lineages at this putative genetic crossroads across 409 representatives of the major language groups: Bantu speakers and Eastern and Western Nilotic speakers. We show that Uganda harbours one of the highest mtDNA diversities within and between linguistic groups, with the various groups significantly differentiated from each other. Despite an inferred linguistic origin in South Sudan, the data from the two Nilotic-speaking groups point to a much more complex history, involving not only possible dispersals from Sudan and the Horn but also large-scale assimilation of autochthonous lineages within East Africa and even Uganda itself. The Eastern Nilotic group also carries signals characteristic of West-Central Africa, primarily due to Bantu influence, whereas a much stronger signal in the Western Nilotic group suggests direct West-Central African ancestry. Bantu speakers share lineages with both Nilotic groups, and also harbour East African lineages not found in Western Nilotic speakers, likely due to assimilating indigenous populations since arriving in the region ~3000 years ago.
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[Extrat] The advent of thc internet raised questions about the role of radio in a fast-changing media environment. Many voices forecast its end but in the summer of 2008 the Swedish Radio and TV Authority published a study named 'The Future of Radio', which clearly opposed the pessimism of recent analysis. While the study anticipates the exhaustion of the FM model, it clearly broadens perspectives for DAB and internet radio, highlighting digitalization as the key element for the future relevance of radio. The Portuguese researcher and radio professional João Paulo Meneses states that 'the future of radio relies upon the internet', calling the broad service offerings of the net the pathway for the survival of radio from the threats to its two essential aspects: rnobility and accumulation (Meneses 2008). Accumulation is radio's capability to be used in a nonexclusive manner, which means that a listener can use the radio while performing other activities, like cooking, sewing, reading, writing or jogging.
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Dissertação de mestrado integrado em Engenharia Biomédica (área de especialização em Engenharia Clínica)