Cultural differences in intimacy: The influence of gender-role ideology and individualism-collectivism

Two studies examined emotional intimacy in European Canadian and Chinese Canadian dating relationships. Cultural differences in gender-role ideology and individualism–collectivism were hypothesized to differentially contribute to selfdisclosure and responsiveness, and in turn, intimacy. Study 1 revealed that Chinese Canadians’ lower intimacy relative to European Canadians was mediated by their greater gender-role traditionalism but not by their individualism or collectivism. Study 2 further linked greater gender-role traditionalism to lower self-disclosure, and in turn, lower intimacy. Results also revealed that Chinese Canadians’ lower intimacy mediated their lower relationship satisfaction and higher rate of relationship termination in Study 1, but that Chinese Canadians were not any more likely to terminate their relationships in Study 2

Whole-genome sequencing reveals host factors underlying critical COVID-19

Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2,3,4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease

Ranking the Effect of Different Features on the Classification of Discrete Valued Data

There is a fundamental upper limit on the extent that any classifier --- neural network or otherwise --- can discriminate between two classes of discrete valued data. When classes overlap in feature space, discrimination will be less than perfect. In a two alternative forced-choice decision problem, a classifier's discrimination ability is often measured in terms of the area under its receiver operating characteristic (ROC) curve. In this paper, we show how to calculate the maximum possible area under the ROC curve obtained with a particular representation of a given set of discrete valued data. This result corresponds to the fundamental upper limit of discrimination. We extend this result to show how to estimate both the maximum and the average discrimination we can expect to achieve on unseen test data, again, for a particular representation of a discrete valued data set. These results have practical engineering application in the selection of discriminative features for neural netwo..

sPECAM-1 and sVCAM-1: Role in Pathogenesis and Diagnosis of Chronic Hepatitis C and Association with Response to Antiviral Therapy

Aim: To analyze the relationship between pretreatment clinical or histological features and the levels of soluble platelet-endothelial cell adhesion molecule-1 (sPECAM-1) and soluble vascular cell adhesion molecule-1 (sVCAM-1), to determine their serum concentration in responders and nonresponders, to evaluate the behavior under antiviral therapy, to explain their relationship in response to therapy and to assess the association between these two molecules in chronic hepatitis C (CHC)