Integrating Nursing Context And Technology Usage For English Speaking Empowerment

English for specific purposes (ESP) must be taught to meet particular needs of non-English language students (Hutchinson & Waters, 1987, p.21). It gives direct suggestion that learning process should be designed in such away not only to meet the learning objectives of the students but also to give the students meaningful and enjoyable learning experiences (Crawford, 2013, p.1 81). The condition becomes more challenging when the ESP teachers are only having English language background. It implies that learning context, which meets the students’ needs, should be carried out in learning process along with the suitable and enjoyable learning strategies where the students can feel the pleasure instead of pressure. By considering the three steps of ESP course designing suggested by Nitu (2002, p.154), this paper aims at proving the effectiveness of integrating the students’ learning contexts and the students’ pleasure to empower the students’ speaking performance in Health Science Faculty of Musi Charitas Catholic University Palembang. This study belongs to experimental research with pre- and post-design. By the end of the study, it was proven that integrating the nursing field context and the usage of technology in the classroom can help the students improve their English speaking skills. For evidential information, some videos of learning process are presente

CNVannotator: A Comprehensive Annotation Server for Copy Number Variation in the Human Genome

<div><p>Copy number variation (CNV) is one of the most prevalent genetic variations in the genome, leading to an abnormal number of copies of moderate to large genomic regions. High-throughput technologies such as next-generation sequencing often identify thousands of CNVs involved in biological or pathological processes. Despite the growing demand to filter and classify CNVs by factors such as frequency in population, biological features, and function, surprisingly, no online web server for CNV annotations has been made available to the research community. Here, we present CNVannotator, a web server that accepts an input set of human genomic positions in a user-friendly tabular format. CNVannotator can perform genomic overlaps of the input coordinates using various functional features, including a list of the reported 356,817 common CNVs, 181,261 disease CNVs, as well as, 140,342 SNPs from genome-wide association studies. In addition, CNVannotator incorporates 2,211,468 genomic features, including ENCODE regulatory elements, cytoband, segmental duplication, genome fragile site, pseudogene, promoter, enhancer, CpG island, and methylation site. For cancer research community users, CNVannotator can apply various filters to retrieve a subgroup of CNVs pinpointed in hundreds of tumor suppressor genes and oncogenes. In total, 5,277,234 unique genomic coordinates with functional features are available to generate an output in a plain text format that is free to download. In summary, we provide a comprehensive web resource for human CNVs. The annotated results along with the server can be accessed at <a href="http://bioinfo.mc.vanderbilt.edu/CNVannotator/" target="_blank">http://bioinfo.mc.vanderbilt.edu/CNVannotator/</a>.</p></div

All the annotations in CNVannotator web server.

a<p>Two numbers represent the unique genomic regions for the fusion gene pairs.</p

Additional file 1: Table S1. of Concordance of copy number loss and down-regulation of tumor suppressor genes: a pan-cancer study

The 207 tumor suppress genes (TSGs) with frequent copy number losses (CNLs). (XLSX 18 kb

The input, annotation categories, and output of CNVannotator.

<p>The input, annotation categories, and output of CNVannotator.</p

An example of the CNVannotator region-based search result layout.

<p>After successfully uploading a CNV list(s), a set of annotations are overlapped to the input CNVs and are represented in by hyperlinks to the UCSC Genome Browser. Additionally, the tabular text file is available to download for further filtering and classification.</p

The annotation results for the top ten novel CNVs from microsatellite stable hereditary nonpolyposis colorectal cancer samples using the CNVannotator web server.

<p>The annotation results for the top ten novel CNVs from microsatellite stable hereditary nonpolyposis colorectal cancer samples using the CNVannotator web server.</p

The layout of CNVannotator gene-based query viewer.

<p>The single gene and multiple gene query interfaces are shown. Both queries require an input of the official gene symbol(s).</p

Additional file 4: Table S4. of Concordance of copy number loss and down-regulation of tumor suppressor genes: a pan-cancer study

Functional enrichment results of 81 tumor suppress genes (TSGs) with decreased gene expression potentially induced by copy number losses (CNLs). (XLSX 24 kb

Additional file 2: Table S2. of Concordance of copy number loss and down-regulation of tumor suppressor genes: a pan-cancer study

The enriched pathways and interactors for the 207 tumor suppress genes (TSGs) with frequent copy number loss (CNL). (XLSX 11 kb