37 research outputs found

    Dimensionality of social networks using motifs and eigenvalues

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    We consider the dimensionality of social networks, and develop experiments aimed at predicting that dimension. We find that a social network model with nodes and links sampled from an mm-dimensional metric space with power-law distributed influence regions best fits samples from real-world networks when mm scales logarithmically with the number of nodes of the network. This supports a logarithmic dimension hypothesis, and we provide evidence with two different social networks, Facebook and LinkedIn. Further, we employ two different methods for confirming the hypothesis: the first uses the distribution of motif counts, and the second exploits the eigenvalue distribution.Comment: 26 page

    Perioperative Cardiac Arrests

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    Perioperative cardiac arrests represent the most serious complication of anesthesia and surgery. It is believed that the incidence and mortality of cardiac arrest has declined, however, a more recent review questioned whether these rates have changed over the last 5 decades. It is difficult to compare the reports from different epochs, because medical practice has advanced, surgical acuity increased, and patients in extremes of age undergo surgery today. In the present article we review the information regarding the incidence of perioperative cardiac arrests and predictors of survival covering the period since the first comprehensive report by Beecher and Todd in 1954. We focus on our publications that report perioperative cardiac arrest at Mayo Clinic for adult noncardiac surgery, during regional anesthesia, and arrests in our pediatric surgical practice

    Pediatric surgical extracorporeal membrane oxygenation - a case series

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    Objective. To review demographic and procedural factors and their association with weaning rate and survival from extracorporeal membrane oxygenation (ECMO) in pediatric patients undergoing repair of cardiac malformations. Methods. The hospital records of children requiring ECMO during cardiac operation due to failure to wean from cardio-pulmonary by pass (CPB) were retrospectively reviewed, and an analysis of variables affecting survival was performed. Results. Thirty-five pediatric patients between January 1, 2000 and December 31, 2006 required ECMO for cardiopulmonary support during cardiac operations. ECMO survival was 54.3% and was comparable across all age groups. The lowest pH during ECMO treatment was the only predictor of mortality (P = 0.006). No other patient, surgical or anesthetic, factor was associated with either weaning from ECMO or hospital survival. Conclusions. No clear risk factor could be identified for survival from ECMO in our pediatric patients who underwent cardiac surgery and failed weaning from cardiopulmonary bypass

    Dopamine and Glutamate in Antipsychotic-Responsive Compared With Antipsychotic-Nonresponsive Psychosis: A Multicenter Positron Emission Tomography and Magnetic Resonance Spectroscopy Study (STRATA)

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    The variability in the response to antipsychotic medication in schizophrenia may reflect between-patient differences in neurobiology. Recent cross-sectional neuroimaging studies suggest that a poorer therapeutic response is associated with relatively normal striatal dopamine synthesis capacity but elevated anterior cingulate cortex (ACC) glutamate levels. We sought to test whether these measures can differentiate patients with psychosis who are antipsychotic responsive from those who are antipsychotic nonresponsive in a multicenter cross-sectional study. 1H-magnetic resonance spectroscopy (1H-MRS) was used to measure glutamate levels (Glucorr) in the ACC and in the right striatum in 92 patients across 4 sites (48 responders [R] and 44 nonresponders [NR]). In 54 patients at 2 sites (25 R and 29 NR), we additionally acquired 3,4-dihydroxy-6-[18F]fluoro-L-phenylalanine (18F-DOPA) positron emission tomography (PET) to index striatal dopamine function (Kicer, min−1). The mean ACC Glucorr was higher in the NR than the R group after adjustment for age and sex (F1,80 = 4.27; P = .04). This was associated with an area under the curve for the group discrimination of 0.59. There were no group differences in striatal dopamine function or striatal Glucorr. The results provide partial further support for a role of ACC glutamate, but not striatal dopamine synthesis, in determining the nature of the response to antipsychotic medication. The low discriminative accuracy might be improved in groups with greater clinical separation or increased in future studies that focus on the antipsychotic response at an earlier stage of the disorder and integrate other candidate predictive biomarkers. Greater harmonization of multicenter PET and 1H-MRS may also improve sensitivity

    One-Year Prevalence Rates of Major Depressive Disorder in First-Year University Students

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    First-year university students may be more at risk for experiencing Major Depressive Disorder (MDD) than the general population given associated risk factors of this age range. A two-phase procedure was used to estimate the one-year prevalence rate of MDD and comorbid Major Anxiety Disorders among first-year university students at a small Canadian university. The results of the study indicate that approximately 7% of men and 14% of women in their first year met the criteria for MDD. Further, about 13% of men and 19% of women met the criteria for a Major Anxiety Disorder. Implications of these findings are discussed.Les Ă©tudiants de premiĂšre annĂ©e d’universitĂ© peuvent ĂȘtre plus exposĂ©s au risque d’éprouver un trouble dĂ©pressif majeur (TDM) que l’ensemble de la population, Ă©tant donnĂ© les facteurs de risque liĂ©s Ă  ce groupe d’ñge. Une procĂ©dure en deux Ă©tapes a Ă©tĂ© utilisĂ©e pour estimer le taux de prĂ©valence du TDM et des troubles majeurs de l’anxiĂ©tĂ© dans une petite universitĂ© canadienne. Les rĂ©sultats de l’étude indiquent que 7 % environ des hommes et 14 % environ des femmes en premiĂšre annĂ©e satisfont aux critĂšres de TDM. En outre, environ 13 % des hommes et 19 % des femmes satistaisaient aux critĂšres d’un trouble majeur de l’anxiĂ©tĂ©. Les rĂ©percussions de ces rĂ©sultats sont discutĂ©s

    The scale of the network data involved in our study varies over three orders of magnitude.

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    <p>We see similar scaling for both types of networks, but with slightly different offsets. For Facebook, with ; for LinkedIn with . The regularity in the LinkedIn sizes is due to our construction of those networks.</p
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