1,021 research outputs found

    Familial Factors in the Development of Social Anxiety Disorder

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    The purpose of the current article is to explore familial factors that influence the development of social anxiety disorder (SAD) in children and adolescents, including parenting, sibling relationships, and family environment. A multitude of interrelated genetic and familial factors have been found to cause and maintain SAD in children and adolescents. There are many challenges in diagnosing and treating the disorder. Knowledge and awareness of familial factors provide insight on targeted treatments that prevent or ameliorate SAD

    Critical Factors For Training In Rural Psychology

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    Students in graduate level psychology training who intend to work in rural settings must be familiar with and educated in how rural life and identity impacts clients. Currently, there are few doctoral training programs in psychology that offer courses specifically tailored to rural populations despite the fact many psychologists are employed, or work with people, in rural settings. As such, there is a need to understand how to best prepare students in doctoral training in psychology for competent work as psychologists in rural areas. Given the nature of rural culture, rural mental health, urban versus rural characteristics, the current status of rural practice, and the overwhelming lack of education regarding rural issues, the purpose of this study was to ascertain critical factors for training in rural psychology. Through dialogue with 33 current rural psychologists, researchers who have published in the area of rural psychology, and educators in rural psychology (predominantly residing in the United States) via the Delphi method, 129 discrete elements for an effective rural psychology training curriculum were identified. Via the process of the Delphi methodology, 17 factors were noted as critical. Sixty-seven factors were noted as very important. Nineteen more items were reported as very important, but had a variance at or exceeding 1.0, for a total of 86. Ten factors were noted as somewhat important. Sixteen more factors were noted as somewhat important, but reported a variance of 1.0 or greater, for a total of 26. Critical components centered around the challenges of being the sole practitioner, coping with limited resources, and understanding of ethical principles including multiple relationships, understanding ones\u27 limits of competence, privacy and confidentiality concerns, boundary setting, and reflecting on psychologist\u27s visibility in rural settings. The need for generalist training rang loud and clear. Results also suggested that students must understand the varying roles one might encounter while working in the rural setting and that communication skills were critical. The importance of collaboration and communication with other professionals and community leaders and gaining exposure to multiple rural settings and hands on training were also cited as critical

    Evaluation of a 5-year programme to prevent mother-to-child transmission of HIV infection in Northern Uganda

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    Prevention of mother-to-child transmission (PMTCT) is essential in HIV/AIDS control. We analysed 2000-05 data from mother-infant pairs in our PMTCT programme in rural Uganda, examining programme utilization and outcomes, HIV transmission rates and predictors of death or loss to follow-up (LFU). Out of 19,017 women, 1,037 (5.5%) attending antenatal care services tested HIV positive. Of these, 517 (50%) enrolled in the PMTCT programme and gave birth to 567 infants. Before tracing, 303 (53%) mother-infant pairs were LFU. Reasons for dropout were infant death and lack of understanding of importance of follow-up. Risk of death or LFU was higher among infants with no or incomplete intrapartum prophylaxis (OR = 1.90, 95% CI 1.07-3.36) and of weaning age <6 months (OR 2.55, 95% CI 1.42-4.58), and lower in infants with diagnosed acute illness (OR 0.30, 95% CI 0.16-0.55). Mother-to-child HIV cumulative transmission rate was 8.3%, and 15.5% when HIV-related deaths were considered. Improved tracking of HIV-exposed infants is needed in PMTCT programmes where access to early infant diagnosis is still limited

    Mercury in tundra vegetation of Alaska: Spatial and temporal dynamics and stable isotope patterns

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    Vegetation uptake of atmospheric mercury (Hg) is an important mechanism enhancing atmospheric Hg deposition via litterfall and senescence. We here report Hg concentration and pool sizes of different plant functional groups and plant species across nine tundra sites in northern Alaska. Significant spatial differences were observed in bulk vegetation Hg concentrations at Toolik Field station (52 ± 9â€ŻÎŒg kg−1), Eight Mile Lake Observatory (40 ± 0.2â€ŻÎŒg kg−1), and seven sites along a transect from Toolik Field station to the Arctic coast (36 ± 9â€ŻÎŒg kg−1). Hg concentrations in non-vascular vegetation including feather and peat moss (58 ± 6â€ŻÎŒg kg−1 and 34 ± 2â€ŻÎŒg kg−1, respectively) and brown and white lichen (41 ± 2â€ŻÎŒg kg−1 and 34 ± 2â€ŻÎŒg kg−1, respectively), were three to six times those of vascular plant tissues (8 ± 1â€ŻÎŒg kg−1 in dwarf birch leaves and 9 ± 1â€ŻÎŒg kg−1 in tussock grass). A high representation of nonvascular vegetation in aboveground biomass resulted in substantial Hg mass contained in tundra aboveground vegetation (29â€ŻÎŒg m−2), which fell within the range of foliar Hg mass estimated for forests in the United States (15 to 45â€ŻÎŒg m−2) in spite of much shorter growing seasons. Hg stable isotope signatures of different plant species showed that atmospheric Hg(0) was the dominant source of Hg to tundra vegetation. Mass-dependent isotope signatures (ÎŽ202Hg) in vegetation relative to atmospheric Hg(0) showed pronounced shifts towards lower values, consistent with previously reported isotopic fractionation during foliar uptake of Hg(0). Mass-independent isotope signatures (Δ199Hg) of lichen were more positive relative to atmospheric Hg(0), indicating either photochemical reduction of Hg(II) or contributions of inorganic Hg(II) from atmospheric deposition and/or dust. Δ199Hg and Δ200Hg values in vascular plant species were similar to atmospheric Hg(0) suggesting that overall photochemical reduction and subsequent re-emission was relatively insignificant in these tundra ecosystems, in agreement with previous Hg(0) ecosystem flux measurements

    Precipitation and latent heating distributions from satellite passive microwave radiometry. Part I: improved method and uncertainties

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    A revised Bayesian algorithm for estimating surface rain rate, convective rain proportion, and latent heating profiles from satellite-borne passive microwave radiometer observations over ocean backgrounds is described. The algorithm searches a large database of cloud-radiative model simulations to find cloud profiles that are radiatively consistent with a given set of microwave radiance measurements. The properties of these radiatively consistent profiles are then composited to obtain best estimates of the observed properties. The revised algorithm is supported by an expanded and more physically consistent database of cloud-radiative model simulations. The algorithm also features a better quantification of the convective and nonconvective contributions to total rainfall, a new geographic database, and an improved representation of background radiances in rain-free regions. Bias and random error estimates are derived from applications of the algorithm to synthetic radiance data, based upon a subset of cloud-resolving model simulations, and from the Bayesian formulation itself. Synthetic rain-rate and latent heating estimates exhibit a trend of high (low) bias for low (high) retrieved values. The Bayesian estimates of random error are propagated to represent errors at coarser time and space resolutions, based upon applications of the algorithm to TRMM Microwave Imager (TMI) data. Errors in TMI instantaneous rain-rate estimates at 0.5°-resolution range from approximately 50% at 1 mm h−1 to 20% at 14 mm h−1. Errors in collocated spaceborne radar rain-rate estimates are roughly 50%–80% of the TMI errors at this resolution. The estimated algorithm random error in TMI rain rates at monthly, 2.5° resolution is relatively small (less than 6% at 5 mm day−1) in comparison with the random error resulting from infrequent satellite temporal sampling (8%–35% at the same rain rate). Percentage errors resulting from sampling decrease with increasing rain rate, and sampling errors in latent heating rates follow the same trend. Averaging over 3 months reduces sampling errors in rain rates to 6%–15% at 5 mm day−1, with proportionate reductions in latent heating sampling errors

    Bayesian retrieval of complete posterior PDFs of oceanic rain rate from microwave observations

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    A new Bayesian algorithm for retrieving surface rain rate from Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) over the ocean is presented, along with validations against estimates from the TRMM Precipitation Radar (PR). The Bayesian approach offers a rigorous basis for optimally combining multichannel observations with prior knowledge. While other rain-rate algorithms have been published that are based at least partly on Bayesian reasoning, this is believed to be the first self-contained algorithm that fully exploits Bayes’s theorem to yield not just a single rain rate, but rather a continuous posterior probability distribution of rain rate. To advance the understanding of theoretical benefits of the Bayesian approach, sensitivity analyses have been conducted based on two synthetic datasets for which the “true” conditional and prior distribution are known. Results demonstrate that even when the prior and conditional likelihoods are specified perfectly, biased retrievals may occur at high rain rates. This bias is not the result of a defect of the Bayesian formalism, but rather represents the expected outcome when the physical constraint imposed by the radiometric observations is weak owing to saturation effects. It is also suggested that both the choice of the estimators and the prior information are crucial to the retrieval. In addition, the performance of the Bayesian algorithm herein is found to be comparable to that of other benchmark algorithms in real-world applications, while having the additional advantage of providing a complete continuous posterior probability distribution of surface rain rate
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