162 research outputs found

    The big fish strikes again but in a different place: Social comparison theory and children with special needs

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    This paper will address the implications of Big-Fish Little Pond Effect (BFLPE) and social comparison theory and school placement of students with special needs. It made use of the PISA data base to determine if type of educational placement had an impact on the academic self-concept with children with special needs. Multiple regression techniques were used to delineate the relationships

    Estuarine Forecasts at Daily Weather to Subseasonal Time Scales

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    Most present forecast systems for estuaries predict conditions for only a few days into the future. However, there are many reasons to expect that skillful estuarine forecasts are possible for longer time periods, including increasingly skillful extended atmospheric forecasts, the potential for lasting impacts of atmospheric forcing on estuarine conditions, and the predictability of tidal cycles. In this study, we test whether skillful estuarine forecasts are possible for up to 35 days into the future by combining an estuarine model of Chesapeake Bay with 35-day atmospheric forecasts from an operational weather model. When compared with both a hindcast simulation from the same estuarine model and with observations, the estuarine forecasts for surface water temperature are skillful up to about 2 weeks into the future, and the forecasts for bottom temperature, surface and bottom salinity, and density stratification are skillful for all or the majority of the forecast period. Bottom oxygen forecasts are skillful when compared to the model hindcast, but not when compared with observations. We also find that skill for all variables in the estuary can be improved by taking the mean of multiple estuarine forecasts driven by an ensemble of atmospheric forecasts. Finally, we examine the forecasts in detail using two case studies of extreme events, and we discuss opportunities for improving the forecast skill

    Inside Hollins (1947)

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    https://digitalcommons.hollins.edu/insideh/1003/thumbnail.jp

    Inside Hollins (1949)

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    https://digitalcommons.hollins.edu/insideh/1004/thumbnail.jp

    Inside Hollins (1950)

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    https://digitalcommons.hollins.edu/insideh/1005/thumbnail.jp

    Inside Hollins (1951)

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    https://digitalcommons.hollins.edu/insideh/1006/thumbnail.jp

    Sensory-based niche partitioning in a multiple predator-multiple prey community

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    Many predators and parasites eavesdrop on the communication signals of their prey. Eavesdropping is typically studied as dyadic predator-prey species interactions; yet in nature, most predators target multiple prey species and most prey must evade multiple predator species. The impact of predator communities on prey signal evolution is not well understood. Predators could converge in their preferences for conspicuous signal properties, generating competition among predators and natural selection on particular prey signal features. Alternatively, predator species could vary in their preferences for prey signal properties, resulting in sensory-based niche partitioning of prey resources. In the Neotropics, many substrate-gleaning bats use the mate-attraction songs of male katydids to locate them as prey. We studied mechanisms of niche partitioning in four substrate- gleaning bat species and found they are similar in morphology, echolocation signal design and prey-handling ability, but each species preferred different acoustic features of male song in 12 sympatric katydid species. This divergence in predator preference probably contributes to the coexistence of many substrate-gleaning bat species in the Neotropics, and the substantial diversity in the mate-attraction signals of katydids. Our results provide insight into how multiple eavesdropping predator species might influence prey signal evolution through sensory-based niche partitioning

    Clinical status, biochemical profile and management of a single cohort of patients with arginase deficiency.

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    Arginase deficiency is a rare autosomal recessive urea cycle disorder (UCD) caused by mutations in the ARG1 gene encoding arginase that catalyses the hydrolysis of arginine to ornithine and urea. Patients have hyperargininaemia and progressive neurological impairment but generally suffer fewer metabolic decompensations compared to other UCDs. The objective is to describe the clinical features, biochemical profile, neuroradiological findings and experience of managing children with arginase deficiency. Twenty-year retrospective review of patient medical records at a single metabolic centre was performed. Six patients from three unrelated families were identified. Mean age at first symptom was 3.3 (1.5-9.0) years, while mean age at diagnosis was 8.8 (0.16-15.92) years. Four patients developed spastic diplegia and two of six with spastic quadriplegia with classical features including hyperreflexia, clonus and toe walking. This resulted in gait abnormalities that have been monitored using the GAITRite system and required Achilles tendon release in five children. Generalised tonic-clonic seizures and/or absences were present in three of six children and were controlled with anticonvulsants. All patients had moderate learning difficulties. Neuroimaging showed cerebral/cerebellar atrophy in four patients and basal ganglia abnormalities in two. Arginine levels were universally elevated throughout follow-up despite protein restriction, essential amino acid supplementation and ammonia scavengers, and neurological outcome was generally poor. Two patients died following severe metabolic decompensation in adolescence. Children with arginase deficiency continue to present a management challenge of what appears to be an inexorable course of neurocognitive impairment. Further insight into disease mechanisms may provide insight into novel treatment strategies

    Inside Hollins (1954)

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    https://digitalcommons.hollins.edu/insideh/1007/thumbnail.jp

    Tailored support may be required to reduce the impact of the infertility journey on mental health, relationships and daily lives of infertile patients and partners to infertile patients

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    Research question What is the psychological impact of infertility on infertile patients and partners of infertile patients? Design This online, international, quantitative survey assessed the impact of infertility on mental health, relationships and daily activities for 1944 respondents. Respondents were male or female infertile patients (n = 1037) or partners to infertile patients (n = 907; not necessarily partners of the patient sample) and were recruited at different stages of the treatment journey. Results The most common emotions were ‘sadness’ at infertility diagnosis and ‘anxiety’ during treatment. Emotions differed in nature and intensity throughout the journey. Envy of others who achieved pregnancy was frequently reported by women. More than half of respondents (60.4%; n = 1174) perceived the infertility journey to have impacted their mental health, and 44.1% (n = 857) of respondents sought mental health support. More patients reported mental health impacts (70.1%, n = 727) than partners (49.3%, n = 447). One in three respondents indicated that their relationship had suffered due to the infertility diagnosis. Of these respondents, 55.0% (n = 409) strongly agreed that infertility caused an emotional strain. Patients more often than partners reported a detrimental impact on daily activities. Respondents most commonly agreed with statements regarding an ‘effect on work–life balance’. Conclusion Treatment journey stages are defined by their impact profile, which differs between infertile patients and partners of infertile patients. Negative impacts are diverse (mental health, relational, daily activities). There was disparity between the number of respondents reporting mental health issues and the number seeking mental health support. This indicates the need for support services tailored to different treatment stages
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