Movement and Aggregation of Eastern Hudson Bay Beluga Whales (Delphinapterus leucas): A Comparison of Patterns Found through Satellite Telemetry and Nunavik Traditional Ecological Knowledge

Traditional Ecological Knowledge (TEK) consists of the collective knowledge, experience, and values of subsistence communities, while Western science relies on hypothesis testing to obtain information on natural processes. Both approaches provide important ecological information, but few studies have directly compared the two. We compared information on movements and aggregation of beluga whales obtained from TEK interview records (n = 3253) and satellite telemetry records of 30 whales tagged in eastern Hudson Bay, Canada, using geographic information system (GIS) approaches that allowed common formatting of the data sets. Estuarine centres of aggregation in the summer were evident in both data sets. The intensive use of offshore areas seen in the telemetry data, where 76% of the locations were more than 15 km from mainland Quebec, was not evident in the TEK data, where only 17% of the records indicated offshore locations. Morisita’s index of similarity indicated that TEK and telemetry data distributions varied with season, with the highest similarity in winter (0.74). Location and movement data from the telemetry study were limited by small sample size and short tag deployment times, while TEK data were biased by spatial coverage and coastal travel habits. Although the two data sets can provide complementary information, both suffer from weaknesses that need to be acknowledged when these data are adapted for use in resource management.Les connaissances écologiques traditionnelles (CÉT) consistent en l’ensemble des connaissances, de l’expérience et des valeurs des communautés de subsistance, tandis que la science occidentale s’appuie sur la mise à l’épreuve d’hypothèses dans le but d’obtenir de l’information sur les processus naturels. Bien que ces deux démarches permettent d’obtenir d’importants renseignements sur l’écologie, peu d’études ont établi une comparaison directe entre ces deux démarches. Nous avons comparé des données sur les mouvements et le rassemblement des bélugas, données obtenues à partir de CÉT prélevées au moyen d’entrevues (n = 3253) ainsi qu’à partir de résultats de télémétrie par satellite sur 30 baleines marquées dans l’est de la baie d’Hudson, au Canada, à l’aide de systèmes d’information géographique (SIG) qui ont permis le formatage commun des ensembles de données. Pendant l’été, les centres de rassemblement en estuaire étaient évidents dans les deux ensembles de données. L’utilisation intensive des zones au large en ce qui a trait aux données de télémétrie, où 76 % des localisations se situaient à plus de 15 km du continent québécois, n’était pas évidente dans le cas des données des CÉT, où seulement 17 % des résultats indiquaient des localisations au large. L’indice de similarité de Morisita indiquait que la répartition des données obtenues par CÉT et par télémétrie variait d’une saison à l’autre, la similarité la plus grande ayant été atteinte l’hiver (0,74). Les données de localisation et de mouvement découlant de l’étude de télémétrie étaient limitées par la petite taille de l’échantillon et les courtes durées de déploiement des étiquettes, tandis que les données provenant des CÉT étaient biaisées par l’espace à couvrir et les habitudes de déplacement sur la côte. Bien que les deux ensembles de données puissent fournir de l’information complémentaire, tous deux possèdent des faiblesses qu’il y a lieu de reconnaître lorsque ces données sont adaptées à des fins de gestion des ressources

A guide to evaluating linkage quality for the analysis of linked data.

Linked datasets are an important resource for epidemiological and clinical studies, but linkage error can lead to biased results. For data security reasons, linkage of personal identifiers is often performed by a third party, making it difficult for researchers to assess the quality of the linked dataset in the context of specific research questions. This is compounded by a lack of guidance on how to determine the potential impact of linkage error. We describe how linkage quality can be evaluated and provide widely applicable guidance for both data providers and researchers. Using an illustrative example of a linked dataset of maternal and baby hospital records, we demonstrate three approaches for evaluating linkage quality: applying the linkage algorithm to a subset of gold standard data to quantify linkage error; comparing characteristics of linked and unlinked data to identify potential sources of bias; and evaluating the sensitivity of results to changes in the linkage procedure. These approaches can inform our understanding of the potential impact of linkage error and provide an opportunity to select the most appropriate linkage procedure for a specific analysis. Evaluating linkage quality in this way will improve the quality and transparency of epidemiological and clinical research using linked data

Estimations of Competence in Neurodevelopmental Conditions: A Review

Estimations of competence paradigms offer methods to help us measure how well we track our performance. Bridging across the clinical research and metacognitive research traditions, we identified the Positive Illusory Bias (PIB), metamemory and meta-reasoning paradigms for assessing estimation of competence in neurodevelopmental conditions. Overall, studies from PIB paradigms suggest that individuals with Attention-Deficit Hyperactivity Disorder, Autism, Intellectual Disability and Learning Disability tend to display a positive bias in their performance relative to other informants. In metamemory paradigms, individuals with these neurodevelopmental conditions tend to show more discrepancy between their subjective judgments and their memory performance relative to comparison controls, but these findings have been less consistent than for PIB. Meta-reasoning has been less well-studied across neurodevelopmental conditions. In order to advance our understanding of whether estimation of competence is a significant domain for understanding neurodevelopmental conditions, consideration must be given to conceptual models for each neurodevelopmental condition, methodological issues (paradigm selection and interpretation of self-report and subjective judgment) and developmental considerations

Estimations of Competence in Neurodevelopmental Conditions: A Review

Estimations of competence paradigms offer methods to help us measure how well we track our performance. Bridging across the clinical research and metacognitive research traditions, we identified the Positive Illusory Bias (PIB), metamemory and meta-reasoning paradigms for assessing estimation of competence in neurodevelopmental conditions. Overall, studies from PIB paradigms suggest that individuals with Attention-Deficit Hyperactivity Disorder, Autism, Intellectual Disability and Learning Disability tend to display a positive bias in their performance relative to other informants. In metamemory paradigms, individuals with these neurodevelopmental conditions tend to show more discrepancy between their subjective judgments and their memory performance relative to comparison controls, but these findings have been less consistent than for PIB. Meta-reasoning has been less well-studied across neurodevelopmental conditions. In order to advance our understanding of whether estimation of competence is a significant domain for understanding neurodevelopmental conditions, consideration must be given to conceptual models for each neurodevelopmental condition, methodological issues (paradigm selection and interpretation of self-report and subjective judgment) and developmental considerations

The P body protein LSm1 contributes to stimulation of hepatitis C virus translation, but not replication, by microRNA-122

The P body protein LSm1 stimulates translation and replication of hepatitis C virus (HCV). As the liver-specific microRNA-122 (miR-122) is required for HCV replication and is associated with P bodies, we investigated whether regulation of HCV by LSm1 involves miR-122. Here, we demonstrate that LSm1 contributes to activation of HCV internal ribosome entry site (IRES)-driven translation by miR-122. This role for LSm1 is specialized for miR-122 translation activation, as LSm1 depletion does not affect the repressive function of miR-122 at 3′ untranslated region (UTR) sites, or miR-122–mediated cleavage at a perfectly complementary site. We find that LSm1 does not influence recruitment of the microRNA (miRNA)-induced silencing complex to the HCV 5′UTR, implying that it regulates miR-122 function subsequent to target binding. In contrast to the interplay between miR-122 and LSm1 in translation, we find that LSm1 is not required for miR-122 to stimulate HCV replication, suggesting that miR-122 regulation of HCV translation and replication have different requirements. For the first time, we have identified a protein factor that specifically contributes to activation of HCV IRES-driven translation by miR-122, but not to other activities of the miRNA. Our results enhance understanding of the mechanisms by which miR-122 and LSm1 regulate HCV

“Either Everyone Was Guilty or Everyone Was Innocent”: The Italian Power Elite, Neopatrimonialism, and the Importance of Social Relations

Rarely does the Byzantine world of football administration get exposed as clearly as during the 2006 calciopoli scandal. This scandal laid bare the interpersonal relationships of football administrators at the top three Italian men’s football clubs: Juventus, Inter, and AC Milan. This article draws on the media leaks that revealed the inner workings of those working within football to argue that the football clubs are pyramids of power for club presidents that allows them to operate within the Italian power elite. This is done through interpersonal clientelistic networks that operate within a neopatrimonial system. Theoretically, this article draws on four main concepts: C. Wright Mills’s concept of the Power Elite, Lomnitz’s model of “Pyramids of Power,” Eisenstadt’s notion of neopatrimonialism, and Mauss’s utilization of the gift. Power is exercised through quid pro quo relationships, with certain key individuals operating as brokers to the flow of favors throughout the network

A search for W bb and W Higgs production in ppbar collisions at sqrt(s)=1.96 TeV

We present a search for W b \bar{b} production in p \bar{p} collisions at sqrt{s}=1.96 TeV in events containing one electron, an imbalance in transverse momentum, and two b-tagged jets. Using 174 pb-1 of integrated luminosity accumulated by the D0 experiment at the Fermilab Tevatron collider, and the standard-model description of such events, we set a 95% C.L. upper limit on W b \bar{b}$production of 6.6 pb for b quarks with transverse momenta p_T^b > 20 GeV and b \bar{b} separation in pseudorapidity-azimuth space Delta R_bb > 0.75. Restricting the search to optimized b \bar{b} mass intervals provides upper limits on$WH$production of 9.0$-$12.2 pb, for Higgs-boson masses of 105$-$135 GeV.Comment: 7 pages, 4 figures, 1 table, submitted to Physical Review Letter

Measurement of Semileptonic Branching Fractions of B Mesons to Narrow D** States

Using the data accumulated in 2002-2004 with the DO detector in proton-antiproton collisions at the Fermilab Tevatron collider with centre-of-mass energy 1.96 TeV, the branching fractions of the decays B -> \bar{D}_1^0(2420) \mu^+ \nu_\mu X and B -> \bar{D}_2^{*0}(2460) \mu^+ \nu_\mu X and their ratio have been measured: BR(\bar{b}->B) \cdot BR(B-> \bar{D}_1^0 \mu^+ \nu_\mu X) \cdot BR(\bar{D}_1^0 -> D*- pi+) = (0.087+-0.007(stat)+-0.014(syst))%; BR(\bar{b}->B)\cdot BR(B->D_2^{*0} \mu^+ \nu_\mu X) \cdot BR(\bar{D}_2^{*0} -> D*- \pi^+) = (0.035+-0.007(stat)+-0.008(syst))%; and (BR(B -> \bar{D}_2^{*0} \mu^+ \nu_\mu X)BR(D2*0->D*- pi+)) / (BR(B -> \bar{D}_1^{0} \mu^+ \nu_\mu X)\cdot BR(\bar{D}_1^{0}->D*- \pi^+)) = 0.39+-0.09(stat)+-0.12(syst), where the charge conjugated states are always implied.Comment: submitted to Phys. Rev. Let