Meson Mass at Large Baryon Chemical Potential in Dense QCD

We reexamine the quark mass induced term in chiral Lagrangian in color-flavor locking phase in dense QCD, and show that the meson mass term is determined by three independent invariants under chiral-axial symmetry, and a meson mass is given in terms of the quark mass, gap, and the chemical potential by $m_{\pi}^2\sim m_q^2\Delta\bar{\Delta}/\mu^2\ln(\mu^2/\Delta^2)$. Thus mesons become massless as $\mu\to\infty$.Comment: 7 pages, no figures; made antiparticle gap explicit; to appear Phys. Lett.

Transcriptome Atlas by Long-Read RNA Sequencing: Contribution to a Reference Transcriptome

The recent emergence of long-read transcriptome sequencing has helped improve the overall accuracy of gene prediction compared with that by short-read RNA-Seq. In addition, the technology can offer a more comprehensive view of functional genomics in uncharacterized species with an efficient full-length unigene build and high-precision gene annotation, thus being efficient in developing transcriptome data resources from useful genetic pools. Hence, I will review the applications of long-read RNA isoform sequencing, including the relative merits of the technology, the improvement of the accuracy in gene prediction and gene annotation, and the full-length unigene builds in a new genome; the limitations of the technology will be also discussed. The review will be valuable in collecting data resources for functional genomic studies

The Role of Gender Dynamics in the Relationship between Parental Maltreatment and Juvenile Theft in South Korea

Juvenile theft is the leading crime among adolescents in Korea and is a serious social concern. The present study is an examination of youth theft in the framework of general strain theory, which asserts that criminal behavior occurs as a response to various strains, such as parental abuse and neglect. To test the role of parent-youth gender dynamics in the relationship between parental strain and youth theft, the current study analyzed a community-based sample of youth offenders and non-offenders in Korea (N = 374) using multivariate logistic regression models with interaction terms. Paternal physical abuse and maternal neglect predicted greater youth involvement in theft behavior. Regarding parent-youth gender dynamics, there was no difference in the role of maternal or paternal maltreatment in predicting theft behavior in sons or daughters. The exception was fathers' neglect, in which daughters showed higher odds of theft engagement than did sons who experienced even greater paternal neglect. The findings underscored the distinct and detrimental role of parental maltreatment in adolescent theft. The results supported the need to reach out to parents in consideration of the youth's gender and provided important implications for guiding current social services in preventing juvenile theft in Korea

Academic Experience, Overseas Experience and Chinese Scholars’ Propensity Towards International Collaboration

Taking the Chinese inland scholars’ co-authorships in the 10 leading international academic journals in the field of technological innovation management from 1990 to 2016 as the sample, the article empirically investigates factors which influence Chinese inland scholars’ propensity towards international collaboration with Logistic regression model. The empirical results show that Chinese inland scholars who have overseas education background show higher propensity towards international collaboration. However, both the overseas academic exchange experience and academic experience have no significant impacts on the propensity towards international collaboration. Keywords: Propensity towards international collaboration; Academic experience; Overseas experienc

Patent-based Measurements on Technological Convergence and Competitor Identification: The Case of Semiconductor Industry

Technological convergence promotes the formation and development of emerging industries associated with new opportunities and growth. It will be helpful for firms to understand the emerging trends of technology convergence and establish competitive strategy by identifying competitors. While previous studies mainly measure technological convergence with co-occurrence method on the technology level, relatively few studies investigate the measurement of technological convergence with firm-level data. In addition, how to identify competitors by firms in the background of technological convergence has been neglected by the extant studies. This paper takes the granted patent data of global top 10 semiconductor companies from 1994 to 2013 as the object and measures the degree and trend of technological convergence based on technology similarity. Furthermore the Multidimensional Scaling analysis with inter-firm technological similarity matrix is adopted to identify the competitors in the semiconductor industry. The main contribution of this research is that it proposes a novel method to measure technology convergence. The method is different from pervious literature in that it measures technology convergence and knowledge relatedness from a micro-level using patent data in semiconductor industry. In addition, the patent similarity matrix can be used as an input for competitor identification with Multidimensional Scaling analysis. Keywords: Technological convergence; Competitor Identification; Multidimensional Scaling analysis; Semiconductor industr