The effect of online exchanges via Skype on EFL learners’ achievements

[EN] This study examined whether direct communication with people from other countries using Skype or Line would affect students’ English test scores in listening and reading as well as the development of their curiosity concerning foreign cultures by comparing the data of an experimental group with that of a control group. The former group conducted online exchanges with foreign students, while the latter group did not. As many Japanese companies engaged in international business require high scores in the TOEIC test, which is one of the multiple-choice English tests of listening and reading often used to show each person’s English proficiency, universities in Japan are making efforts to improve their students’ scores in such an English test. Preparation classes for English tests have been offered. However, students have been likely to lose interest in learning English in the circumstances of this learning style. Results of the study indicated that although the aim of exchange activities is to foster students’ curiosity concerning intercultural matters, students experiencing online exchange with skype significantly raised their scores in TOEIC tests in listening and reading after a programme of synchronous exchanges with foreign students, compared with ones who did not experience such online exchanges.Furumura, Y.; Huang, H. (2019). The effect of online exchanges via Skype on EFL learners’ achievements. The EuroCALL Review. 27(2):13-27. https://doi.org/10.4995/eurocall.2019.11128OJS132727

RELATIONSHIP BETWEEN OVER-ARM THROWING PATTERN AND THROWING PERFORMANCE

Throwing is a common movement among the upper extremities activities. This study examined the relationship between throwing patterns and throwing distance. Eighty-five age 21 years old students (m =29, F =56)voluntarily participated in the study. Each subject threw a tennis ball as hard as they could straightforward for three trials. A video camera at subjects' right hand side was used to record the subjects' motion. The Burton's (1992) amendment of DSOT table was used to quantify the throwing patterns. Data collected was examined by Pearson correlation(p < .05). The results were as follows: 1. the trunk rotation was found to associated with throwing distance for the male SUbject, 2. the backswing and trunk rotation were associated with throwing distance for the female SUbject

A new analysis tool for individual-level allele frequency for genomic studies

<p>Abstract</p> <p>Background</p> <p>Allele frequency is one of the most important population indices and has been broadly applied to genetic/genomic studies. Estimation of allele frequency using genotypes is convenient but may lose data information and be sensitive to genotyping errors.</p> <p>Results</p> <p>This study utilizes a unified intensity-measuring approach to estimating individual-level allele frequencies for 1,104 and 1,270 samples genotyped with the single-nucleotide-polymorphism arrays of the Affymetrix Human Mapping 100K and 500K Sets, respectively. Allele frequencies of all samples are estimated and adjusted by coefficients of preferential amplification/hybridization (CPA), and large ethnicity-specific and cross-ethnicity databases of CPA and allele frequency are established. The results show that using the CPA significantly improves the accuracy of allele frequency estimates; moreover, this paramount factor is insensitive to the time of data acquisition, effect of laboratory site, type of gene chip, and phenotypic status. Based on accurate allele frequency estimates, analytic methods based on individual-level allele frequencies are developed and successfully applied to discover genomic patterns of allele frequencies, detect chromosomal abnormalities, classify sample groups, identify outlier samples, and estimate the purity of tumor samples. The methods are packaged into a new analysis tool, ALOHA (<b>A</b>llele-frequency/<b>L</b>oss-<b>o</b>f-<b>h</b>eterozygosity/<b>A</b>llele-imbalance).</p> <p>Conclusions</p> <p>This is the first time that these important genetic/genomic applications have been simultaneously conducted by the analyses of individual-level allele frequencies estimated by a unified intensity-measuring approach. We expect that additional practical applications for allele frequency analysis will be found. The developed databases and tools provide useful resources for human genome analysis via high-throughput single-nucleotide-polymorphism arrays. The ALOHA software was written in R and R GUI and can be downloaded at <url>http://www.stat.sinica.edu.tw/hsinchou/genetics/aloha/ALOHA.htm</url>.</p

RhoGDIβ-induced hypertrophic growth in H9c2 cells is negatively regulated by ZAK

We found that overexpression of RhoGDIβ, a Rho GDP dissociation inhibitor, induced hypertrophic growth and suppressed cell cycle progression in a cultured cardiomyoblast cell line. Knockdown of RhoGDIβ expression by RNA interference blocked hypertrophic growth. We further demonstrated that RhoGDIβ physically interacts with ZAK and is phosphorylated by ZAK in vitro, and this phosphorylation negatively regulates RhoGDIβ functions. Moreover, the ZAK-RhoGDIβ interaction may maintain ZAK in an inactive hypophosphorylated form. These two proteins could negatively regulate one another such that ZAK suppresses RhoGDIβ functions through phosphorylation and RhoGDIβ counteracts the effects of ZAK by physical interaction. Knockdown of ZAK expression in ZAK- and RhoGDIβ-expressing cells by ZAK-specific RNA interference restored the full functions of RhoGDIβ

An integrated analysis tool for analyzing hybridization intensities and genotypes using new-generation population-optimized human arrays

The cross-sample plot of the multipoint LOH/LCSH analyses of the three samples used in Fig. 5. The plot comprises four panels: (a) The top-left panel is a cross-sample and cross-chromosome plot. The vertical axis is the index of study samples, and the horizontal axis is the physical position (Mb) on each of the 23 chromosomes. The blue and red bars represent SNPs without and with LOH/LSCH, respectively. (b) The top-right panel is a histogram of cross-chromosome aberration frequency. The vertical axis is the index of study samples, and the horizontal axis is the cross-chromosome aberration frequency of the corresponding samples. The pink (skyblue) background represents that the genetic gender of a sample is female (male). The histogram represents the aberration frequency of LOH/LCSH SNPs across the chromosomes of the corresponding samples. (c) The bottom-left panel is a histogram of the cross-sample aberration frequency. The vertical axis is the cross-sample aberration frequency of a SNP, and the horizontal axis is the physical position (Mb) on each of the 23 chromosomes. The purple line represents the aberration proportion of samples carrying the SNPs with LOH/LCSH. (d) The bottom-right panel is the legend of the genetic gender that is used in panel (b), where the pink (skyblue) background represents that the genetic gender of a sample is female (male). (TIFF 1656 kb