2,433 research outputs found

    Emotion, religious coping, stigma, and help-seeking attitudes among Asian Americans: Examination of moderated mediation

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    Using a moderated mediation model, we investigated how emotion regulation, emotion socialization, and religious coping affect the relationship between close others’ stigma, self-stigma, and help-seeking among 106 Asian American students. We predicted that (a) self-stigma would positively mediate the close others’ stigma and help-seeking attitudes association, and (b) emotion regulation, emotion socialization, and religious coping would moderate this relationship. Mediation and moderated mediation analyses indicated that close others’ stigma predicted self-stigma, which in turn predicted help-seeking attitudes. This mediation model was moderated by religious coping but not emotional socialization or regulation; emotion regulation and help-seeking attitudes, however, were positively correlated

    Listen to genes : dealing with microarray data in the frequency domain

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    Background: We present a novel and systematic approach to analyze temporal microarray data. The approach includes normalization, clustering and network analysis of genes. Methodology: Genes are normalized using an error model based uniform normalization method aimed at identifying and estimating the sources of variations. The model minimizes the correlation among error terms across replicates. The normalized gene expressions are then clustered in terms of their power spectrum density. The method of complex Granger causality is introduced to reveal interactions between sets of genes. Complex Granger causality along with partial Granger causality is applied in both time and frequency domains to selected as well as all the genes to reveal the interesting networks of interactions. The approach is successfully applied to Arabidopsis leaf microarray data generated from 31,000 genes observed over 22 time points over 22 days. Three circuits: a circadian gene circuit, an ethylene circuit and a new global circuit showing a hierarchical structure to determine the initiators of leaf senescence are analyzed in detail. Conclusions: We use a totally data-driven approach to form biological hypothesis. Clustering using the power-spectrum analysis helps us identify genes of potential interest. Their dynamics can be captured accurately in the time and frequency domain using the methods of complex and partial Granger causality. With the rise in availability of temporal microarray data, such methods can be useful tools in uncovering the hidden biological interactions. We show our method in a step by step manner with help of toy models as well as a real biological dataset. We also analyse three distinct gene circuits of potential interest to Arabidopsis researchers

    Conceptualising Gamification Risks to Teamwork within Enterprise

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    Gamification in businesses refers to the use of technology-assisted solutions to boost or change staff attitude, perception and behaviour, in relation to certain business goals and tasks, individually or collectively. Previous research indicated that gamification techniques can introduce risks to the business environment, and not only fail to make a positive change, but also raise concerns in relation to ethics, quality of work, and well-being at a workplace. Although the problem is already recognised in principle, there is still a need to clarify and concretise those risks, their factors and their relation to the gamification dynamics and mechanics. To address this, we conducted multi-staged empirical research, including two months’ observation and interview study, in two large-scale businesses using gamification in their workplace. In this paper, we focus on gamification risks related to teamwork within the enterprise. We outline various risk mitigation strategies and map them to primary types of gamification risks. By accomplishing such conceptualisation, we pave the way towards methods to model, detect and predict gamification risks on teamwork and recommend and design practices and strategies to tackle them

    A case of de novo duplication of 15q24-q26.3

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    Distal duplication, or trisomy 15q, is an extremely rare chromosomal disorder characterized by prenatal and postnatal overgrowth, mental retardation, and craniofacial malformations. Additional abnormalities typically include an unusually short neck, malformations of the fingers and toes, scoliosis and skeletal malformations, genital abnormalities, particularly in affected males, and, in some cases, cardiac defects. The range and severity of symptoms and physical findings may vary from case to case, depending upon the length and location of the duplicated portion of chromosome 15q. Most reported cases of duplication of the long arm of chromosome 15 frequently have more than one segmental imbalance resulting from unbalanced translocations involving chromosome 15 and deletions in another chromosome, as well as other structural chromosomal abnormalities. We report a female newborn with a de novo duplication, 15q24-q26.3, showing intrauterine overgrowth, a narrow asymmetric face with down-slanting palpebral fissures, a large, prominent nose, and micrognathia, arachnodactyly, camptodactyly, congenital heart disease, hydronephrosis, and hydroureter. Chromosomal analysis showed a 46,XX,inv(9)(p12q13),dup(15)(q24q26.3). Array comparative genomic hybridization analysis revealed a gain of 42 clones on 15q24-q26.3. This case represents the only reported patient with a de novo 15q24-q26.3 duplication that did not result from an unbalanced translocation and did not have a concomitant monosomic component in Korea
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