Analysis of Subscription Demand for Pay-TV

In this paper, we will conduct an analysis from an empirical perspective concerning broadcasting demand behavior and characteristics. More concretely, we will assume three options (subscription patterns), namely, nonsubscription, cable TV subscription, and subscription to broadcasting services via communications satellites (CS), and we will conduct an analysis of broadcasting service demand behavior using a discrete choice model. According to our result, price elasticity is low for cable TV and CS subscribers, which is a contrast to the United States, where price elasticity for paid broadcasting is high. It shows that factors other than price continue to have a strong influence on demand behavior (subscription choices) in the Japanese market for regular and paid broadcasting (the multichannel market) and that the market has not yet entered the phase of price competition between cable TV and CS broadcasting. With regard to channel number elasticity, the figures are high for basic channel service and low for special channel services. This indicates that basic services are an important concern for viewers. This suggests that, in line with reports that the spread of cable TV in the United States was promoted by difficulty in receiving terrestrial broadcasts, basic channel services may be more important than special channels as keys to the spread of paid broadcasting in Japan.Subscription demand, Broadcasting service, Pay-TV, Discrete choice model, Price/Channel elasticity

dbOGAP - An Integrated Bioinformatics Resource for Protein O-GlcNAcylation

<p>Abstract</p> <p>Background</p> <p>Protein O-GlcNAcylation (or O-GlcNAc-ylation) is an O-linked glycosylation involving the transfer of β-<it>N</it>-acetylglucosamine to the hydroxyl group of serine or threonine residues of proteins. Growing evidences suggest that protein O-GlcNAcylation is common and is analogous to phosphorylation in modulating broad ranges of biological processes. However, compared to phosphorylation, the amount of protein O-GlcNAcylation data is relatively limited and its annotation in databases is scarce. Furthermore, a bioinformatics resource for O-GlcNAcylation is lacking, and an O-GlcNAcylation site prediction tool is much needed.</p> <p>Description</p> <p>We developed a database of O-GlcNAcylated proteins and sites, dbOGAP, primarily based on literature published since O-GlcNAcylation was first described in 1984. The database currently contains ~800 proteins with experimental O-GlcNAcylation information, of which ~61% are of humans, and 172 proteins have a total of ~400 O-GlcNAcylation sites identified. The O-GlcNAcylated proteins are primarily nucleocytoplasmic, including membrane- and non-membrane bounded organelle-associated proteins. The known O-GlcNAcylated proteins exert a broad range of functions including transcriptional regulation, macromolecular complex assembly, intracellular transport, translation, and regulation of cell growth or death. The database also contains ~365 potential O-GlcNAcylated proteins inferred from known O-GlcNAcylated orthologs. Additional annotations, including other protein posttranslational modifications, biological pathways and disease information are integrated into the database. We developed an O-GlcNAcylation site prediction system, OGlcNAcScan, based on Support Vector Machine and trained using protein sequences with known O-GlcNAcylation sites from dbOGAP. The site prediction system achieved an area under ROC curve of 74.3% in five-fold cross-validation. The dbOGAP website was developed to allow for performing search and query on O-GlcNAcylated proteins and associated literature, as well as for browsing by gene names, organisms or pathways, and downloading of the database. Also available from the website, the OGlcNAcScan tool presents a list of predicted O-GlcNAcylation sites for given protein sequences.</p> <p>Conclusions</p> <p>dbOGAP is the first public bioinformatics resource to allow systematic access to the O-GlcNAcylated proteins, and related functional information and bibliography, as well as to an O-GlcNAcylation site prediction tool. The resource will facilitate research on O-GlcNAcylation and its proteomic identification.</p

A comparison study on algorithms of detecting long forms for short forms in biomedical text

<p>Abstract</p> <p>Motivation</p> <p>With more and more research dedicated to literature mining in the biomedical domain, more and more systems are available for people to choose from when building literature mining applications. In this study, we focus on one specific kind of literature mining task, i.e., detecting definitions of acronyms, abbreviations, and symbols in biomedical text. We denote acronyms, abbreviations, and symbols as short forms (SFs) and their corresponding definitions as long forms (LFs). The study was designed to answer the following questions; i) how well a system performs in detecting LFs from novel text, ii) what the coverage is for various terminological knowledge bases in including SFs as synonyms of their LFs, and iii) how to combine results from various SF knowledge bases.</p> <p>Method</p> <p>We evaluated the following three publicly available detection systems in detecting LFs for SFs: i) a handcrafted pattern/rule based system by Ao and Takagi, ALICE, ii) a machine learning system by Chang et al., and iii) a simple alignment-based program by Schwartz and Hearst. In addition, we investigated the conceptual coverage of two terminological knowledge bases: i) the UMLS (the Unified Medical Language System), and ii) the BioThesaurus (a thesaurus of names for all UniProt protein records). We also implemented a web interface that provides a virtual integration of various SF knowledge bases.</p> <p>Results</p> <p>We found that detection systems agree with each other on most cases, and the existing terminological knowledge bases have a good coverage of synonymous relationship for frequently defined LFs. The web interface allows people to detect SF definitions from text and to search several SF knowledge bases.</p> <p>Availability</p> <p>The web site is <url>http://gauss.dbb.georgetown.edu/liblab/SFThesaurus</url>.</p

Rapid Adaptation of POS Tagging for Domain Specific Uses

Part-of-speech (POS) tagging is a fundamental component for performing natural language tasks such as parsing, information extraction, and question answering. When POS taggers are trained in one domain and applied in significantly different domains, their performance can degrade dramatically. We present a methodology for rapid adaptation of POS taggers to new domains. Our technique is unsupervised in that a manually annotated corpus for the new domain is not necessary. We use suffix information gathered from large amounts of raw text as well as orthographic information to increase the lexical coverage. We present an experiment in the Biological domain where our POS tagger achieves results comparable to POS taggers specifically trained to this domain

Effects of Perioperative Management Training Program on the Awareness of Team Medicine among Trainee Dentists

　質が高く、安心・安全な医療を実現していくために、チーム医療の促進は重要な課題であり、チーム医療を担う医療人の育成が必要とされている。岡山大学病院歯科医師臨床研修では、平成23年度から周術期管理センターを研修の場とする「チーム医療研修プログラム」を開始した。本報告では、研修歯科医のプログラムに対する関心とチーム医療に関する理解に与えた効果をアンケート調査によって検討することを目的とした。対象は平成23年度本学病院研修歯科医44名とし、医師、看護師、薬剤師、理学療法士、管理栄養士など多職種によって行われる周術期管理チーム医療を体験させた。受講前には本プログラムに対する期待度を、受講後には満足度、有意義度について質問し、研修歯科医のプログラムに対する関心度を評価した。また、プログラム受講前後に周術期チーム医療に関する用語や職種について質問し、チーム医療に関する理解度を評価した。90.9%の研修歯科医がプログラムに対して期待し、受講後は88.6%が満足だった、84.1%が有意義だったと回答した。さらに、周術期管理に関する用語について主観的理解度が向上し、チーム医療にかかわる職種についての理解が深まった。歯科医師臨床研修におけるチーム医療教育の方法として、周術期管理チーム医療の現場に実際に関与させるプログラムは、研修歯科医の関心が高く、研修歯科医の周術期管理チーム医療に対する理解を深めることが示唆された

BioC: a minimalist approach to interoperability for biomedical text processing

A vast amount of scientific information is encoded in natural language text, and the quantity of such text has become so great that it is no longer economically feasible to have a human as the first step in the search process. Natural language processing and text mining tools have become essential to facilitate the search for and extraction of information from text. This has led to vigorous research efforts to create useful tools and to create humanly labeled text corpora, which can be used to improve such tools. To encourage combining these efforts into larger, more powerful and more capable systems, a common interchange format to represent, store and exchange the data in a simple manner between different language processing systems and text mining tools is highly desirable. Here we propose a simple extensible mark-up language format to share text documents and annotations. The proposed annotation approach allows a large number of different annotations to be represented including sentences, tokens, parts of speech, named entities such as genes or diseases and relationships between named entities. In addition, we provide simple code to hold this data, read it from and write it back to extensible mark-up language files and perform some sample processing. We also describe completed as well as ongoing work to apply the approach in several directions. Code and data are available at http://bioc.sourceforge.net/. Database URL: http://bioc.sourceforge.net

The Telescope Array Experiment: Hybrid Measurement of Ultra High Energy Cosmic Rays in Northern Hemisphere

Abstract The result of AGASA shows the extension of the cosmic ray energy spectrum above the GZK cut-off. Several new generation experiments are planned or under construction to identify the origin of such ultra high energy (UHE) cosmic rays exceeding the cut-off. We report here the design of hybrid Telescope Array (TA) and introduce plans of improving the accuracy of measuring the energy spectrum by the hybrid measurement of ground array and air fluorescence telescope

Large-scale analysis of full-length cDNAs from the tomato (Solanum lycopersicum) cultivar Micro-Tom, a reference system for the Solanaceae genomics

<p>Abstract</p> <p>Background</p> <p>The Solanaceae family includes several economically important vegetable crops. The tomato (<it>Solanum lycopersicum</it>) is regarded as a model plant of the Solanaceae family. Recently, a number of tomato resources have been developed in parallel with the ongoing tomato genome sequencing project. In particular, a miniature cultivar, Micro-Tom, is regarded as a model system in tomato genomics, and a number of genomics resources in the Micro-Tom-background, such as ESTs and mutagenized lines, have been established by an international alliance.</p> <p>Results</p> <p>To accelerate the progress in tomato genomics, we developed a collection of fully-sequenced 13,227 Micro-Tom full-length cDNAs. By checking redundant sequences, coding sequences, and chimeric sequences, a set of 11,502 non-redundant full-length cDNAs (nrFLcDNAs) was generated. Analysis of untranslated regions demonstrated that tomato has longer 5'- and 3'-untranslated regions than most other plants but rice. Classification of functions of proteins predicted from the coding sequences demonstrated that nrFLcDNAs covered a broad range of functions. A comparison of nrFLcDNAs with genes of sixteen plants facilitated the identification of tomato genes that are not found in other plants, most of which did not have known protein domains. Mapping of the nrFLcDNAs onto currently available tomato genome sequences facilitated prediction of exon-intron structure. Introns of tomato genes were longer than those of Arabidopsis and rice. According to a comparison of exon sequences between the nrFLcDNAs and the tomato genome sequences, the frequency of nucleotide mismatch in exons between Micro-Tom and the genome-sequencing cultivar (Heinz 1706) was estimated to be 0.061%.</p> <p>Conclusion</p> <p>The collection of Micro-Tom nrFLcDNAs generated in this study will serve as a valuable genomic tool for plant biologists to bridge the gap between basic and applied studies. The nrFLcDNA sequences will help annotation of the tomato whole-genome sequence and aid in tomato functional genomics and molecular breeding. Full-length cDNA sequences and their annotations are provided in the database KaFTom <url>http://www.pgb.kazusa.or.jp/kaftom/</url> via the website of the National Bioresource Project Tomato <url>http://tomato.nbrp.jp</url>.</p