1,516 research outputs found

    ELA 342 Final Project

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    Nancy Dingham Watson Correspondence

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    Entries include a typed letter of correspondence from children\u27s author Nancy Dingham Watson on Aldren A. Watson, Illustration & Design, Putney, Vermont, stationery with a red-inked print image of a train, in reply to the Maine State Library concerning her recent book When is Tomorrow? dedicated to her father and illustrated by her husband, and visits to Vinalhaven, Maine, prompted (in part) by a seasonal allergy to ragweed, with typed correspondence from Aldren Watson discussing his father-in-law\u27s delight on reading the book, a typographical error, notice of new farm book What Does A Begin With?, and a typed letter from the Maine State Library on receipt of her book gift for the Maine Author Collection

    Sensitivity of Simulated Global Ocean Carbon Flux Estimates to Forcing by Reanalysis Products

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    Reanalysis products from MERRA, NCEP2, NCEP1, and ECMWF were used to force an established ocean biogeochemical model to estimate air-sea carbon fluxes (FCO2) and partial pressure of carbon dioxide (pCO2) in the global oceans. Global air-sea carbon fluxes and pCO2 were relatively insensitive to the choice of forcing reanalysis. All global FCO2 estimates from the model forced by the four different reanalyses were within 20% of in situ estimates (MERRA and NCEP1 were within 7%), and all models exhibited statistically significant positive correlations with in situ estimates across the 12 major oceanographic basins. Global pCO2 estimates were within 1% of in situ estimates with ECMWF being the outlier at 0.6%. Basin correlations were similar to FCO2. There were, however, substantial departures among basin estimates from the different reanalysis forcings. The high latitudes and tropics had the largest ranges in estimated fluxes among the reanalyses. Regional pCO2 differences among the reanalysis forcings were muted relative to the FCO2 results. No individual reanalysis was uniformly better or worse in the major oceanographic basins. The results provide information on the characterization of uncertainty in ocean carbon models due to choice of reanalysis forcing

    Technical Report Series on Global Modeling and Data Assimilation

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    MERRA products were used to force an established ocean biogeochemical model to estimate surface carbon inventories and fluxes in the global oceans. The results were compared to public archives of in situ carbon data and estimates. The model exhibited skill for ocean dissolved inorganic carbon (DIC), partial pressure of ocean CO2 (pCO2) and air-sea fluxes (FCO2). The MERRA-forced model produced global mean differences of 0.02% (approximately 0.3 microns) for DIC, -0.3% (about -1.2 (micro) atm; model lower) for pCO2, and -2.3% (-0.003 mol C/sq m/y) for FCO2 compared to in situ estimates. Basin-scale distributions were significantly correlated with observations for all three variables (r=0.97, 0.76, and 0.73, P<0.05, respectively for DIC, pCO2, and FCO2). All major oceanographic basins were represented as sources to the atmosphere or sinks in agreement with in situ estimates. However, there were substantial basin-scale and local departures

    Degradation and forgone removals increase the carbon impact of intact forest loss by 626%

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    Intact tropical forests, free from substantial anthropogenic influence, store and sequester large amounts of atmospheric carbon but are currently neglected in international climate policy. We show that between 2000 and 2013, direct clearance of intact tropical forest areas accounted for 3.2% of gross carbon emissions from all deforestation across the pantropics. However, full carbon accounting requires the consideration of forgone carbon sequestration, selective logging, edge effects, and defaunation. When these factors were considered, the net carbon impact resulting from intact tropical forest loss between 2000 and 2013 increased by a factor of 6 (626%), from 0.34 (0.37 to 0.21) to 2.12 (2.85 to 1.00) petagrams of carbon (equivalent to approximately 2 years of global land use change emissions). The climate mitigation value of conserving the 549 million ha of tropical forest that remains intact is therefore significant but will soon dwindle if their rate of loss continues to accelerate

    Altered Social Reward and Attention in Anorexia Nervosa

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    Dysfunctional social reward and social attention are present in a variety of neuropsychiatric disorders including autism, schizophrenia, and social anxiety. Here we show that similar social reward and attention dysfunction are present in anorexia nervosa (AN), a disorder defined by avoidance of food and extreme weight loss. We measured the implicit reward value of social stimuli for female participants with (n = 11) and without (n = 11) AN using an econometric choice task and also tracked gaze patterns during free viewing of images of female faces and bodies. As predicted, the reward value of viewing bodies varied inversely with observed body weight for women with anorexia but not control women, in contrast with their explicit ratings of attractiveness. Surprisingly, women with AN, unlike control women, did not find female faces rewarding and avoided looking at both the face and eyes – independent of observed body weight. These findings suggest comorbid dysfunction in the neural circuits mediating gustatory and social reward in anorexia nervosa

    An Empirical Approach to Ocean Color Data: Reducing Bias and the Need for Post-Launch Radiometric Re-Calibration

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    A new empirical approach is developed for ocean color remote sensing. Called the Empirical Satellite Radiance-In situ Data (ESRID) algorithm, the approach uses relationships between satellite water-leaving radiances and in situ data after full processing, i.e., at Level-3, to improve estimates of surface variables while relaxing requirements on post-launch radiometric re-calibration. The approach is evaluated using SeaWiFS chlorophyll, which is the longest time series of the most widely used ocean color geophysical product. The results suggest that ESRID 1) drastically reduces the bias of ocean chlorophyll, most impressively in coastal regions, 2) modestly improves the uncertainty, and 3) reduces the sensitivity of global annual median chlorophyll to changes in radiometric re-calibration. Simulated calibration errors of 1% or less produce small changes in global median chlorophyll (less than 2.7%). In contrast, the standard NASA algorithm set is highly sensitive to radiometric calibration: similar 1% calibration errors produce changes in global median chlorophyll up to nearly 25%. We show that 0.1% radiometric calibration error (about 1% in water-leaving radiance) is needed to prevent radiometric calibration errors from changing global annual median chlorophyll more than the maximum interannual variability observed in the SeaWiFS 9-year record (+/- 3%), using the standard method. This is much more stringent than the goal for SeaWiFS of 5% uncertainty for water leaving radiance. The results suggest ocean color programs might consider less emphasis of expensive efforts to improve post-launch radiometric re-calibration in favor of increased efforts to characterize in situ observations of ocean surface geophysical products. Although the results here are focused on chlorophyll, in principle the approach described by ESRID can be applied to any surface variable potentially observable by visible remote sensing

    Le curriculum caché dans les disciplines médicales : examen de sa portée, de ses incidences et de son contexte

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    Background: While research suggests that manifestations of the hidden curriculum (HC) phenomenon have the potential to reinforce or undermine the values of an institution, very few studies have comprehensively measured its scope, impact, and the varied clinical teaching and learning contexts within which they occur. We explored the HC and examined the validity of newly developed constructs and determined the influence of context on the HC. Methods: We surveyed medical students (n =182), residents (n =148), and faculty (n = 140) from all disciplines at our institution between 2019 and 2020. Based on prior research and expertise, we measured participants’ experience with the HC including perceptions of respect and disrespect for different medical disciplines, settings in which the HC is experienced, impact of the HC, personal actions, efficacy, and their institutional perceptions. We examined the factor structure, reliability, and validity of the HC constructs using exploratory factor analysis Cronbach’s alpha, regression analysis and Pearson’s correlations. Results: Expert judges (physician faculty and medical learners) confirmed the content validity of the items used and the analysis revealed new HC constructs reflecting negative expressions, positive impacts and expressions, negative impacts, personal actions, and positive institutional perceptions of the HC. Evidence for criterion validity was found for the negative impacts and the personal actions constructs and were significantly associated with the stage of respondents’ career and gender. Support for convergent validity was obtained for HC constructs that were significantly correlated with certain contexts within which the HC occurs. Conclusion: More unique dimensions and contexts of the HC exist than have been previously documented. The findings demonstrate that specific clinical contexts can be targeted to improve negative expressions and impacts of the HC.Contexte : Bien que la recherche suggère que les expressions du curriculum caché (CC) ont le potentiel de renforcer ou de miner les valeurs d’un établissement, très peu d’études ont mesuré de manière exhaustive sa portée, ses effets et les divers contextes d’enseignement et d’apprentissage cliniques dans lesquels elles se produisent. Nous avons exploré le CC, examiné la validité de nouvelles notions et déterminé l’influence du contexte sur le CC. Méthodes : Entre 2019 et 2020, nous avons interrogé des étudiants (n =182), des résidents (n =148) et des membres du corps professoral (n = 140) de notre établissement, toutes disciplines médicales confondues. Sur la base de recherches et d’expertises antérieures, nous avons mesuré l’expérience des participants par rapport au CC, y compris leurs perceptions du respect ou du non-respect des diverses disciplines médicales, les contextes dans lesquels ils ont été confrontés au CC, les effets et l’efficacité du CC, les perceptions de l’établissement et les actions personnelles des participants. Nous avons examiné la structure factorielle, la fiabilité et la validité des notions du CC à l’aide d’une analyse factorielle exploratoire, du coefficient alpha de Cronbach, d’une analyse de régression et des corrélations de Pearson. Résultats : Des juges experts (médecins enseignants et apprenants) ont confirmé la validité du contenu des éléments utilisés et l’analyse a révélé de nouvelles notions du CC reflétant des expressions et des effets négatifs, des expressions et des effets positifs, des actions personnelles et des perceptions positives du CC au sein des établissements. La validité de critère a été démontrée pour les notions d’impacts négatifs et d’actions personnelles et a été associée de manière significative à l’étape de la carrière des répondants et à leur sexe. La validité convergente a été confirmée pour les notions de CC qui étaient significativement corrélées à certains contextes dans lesquels le CC se manifeste. Conclusion : Il existe plus de dimensions et de contextes uniques du CC que ceux qui avaient été documentés par le passé. Nos résultats montrent que des contextes cliniques spécifiques peuvent être ciblés pour améliorer les expressions et les effets négatifs du CC

    The latent structure of Acute Stress Disorder symptoms in trauma-exposed children and adolescents.

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    BACKGROUND: The revision of Acute Stress Disorder (ASD) in the DSM-5 (DSM-5, 2013) proposes a cluster-free model of ASD symptoms in both adults and youth. Published evaluations of competing models of ASD clustering in youth have rarely been examined. METHODS: We used Confirmatory Factor Analysis (combined with multigroup invariance tests) to explore the latent structure of ASD symptoms in a trauma-exposed sample of children and young people (N = 594). The DSM-5 structure was compared with the previous DSM-IV conceptualization (4-factor), and two alternative models proposed in the literature (3-factor; 5-factor). Model fit was examined using goodness-of-fit indices. We also established DSM-5 ASD prevalence rates relative to DSM-IV ASD, and the ability of these models to classify children impaired by their symptoms. RESULTS: Based on both the Bayesian Information Criterion, the interfactor correlations and invariance testing, the 3-factor model best accounted for the profile of ASD symptoms. DSM-5 ASD led to slightly higher prevalence rates than DSM-IV ASD and performed similarly to DSM-IV with respect to categorising children impaired by their symptoms. Modifying the DSM-5 ASD algorithm to a 3+ or 4+ symptom requirement was the strongest predictor of impairment. CONCLUSIONS: These findings suggest that a uni-factorial general-distress model is not the optimal model of capturing the latent structure of ASD symptom profiles in youth and that modifying the current DSM-5 9+ symptom algorithm could potentially lead to a more developmentally sensitive conceptualization
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