Idiosyncratic spatial representations of the days of the week in individuals without synesthesia

application/pdfCognition. 2021, 207 (104500), P.1-21journal articl

Upper Bound on the Decay τ→μγ from the Belle Detector

journal articl

SOME METHODS OF FORMAL PROOFS II : Generalization of the satisfiability definition

application/pdfdepartmental bulletin pape

記念講演 : 「『真空』から生まれるもの」

departmental bulletin pape

Investing in Human Capital: The Key in Transforming the Asia-Pacific Region

conference objec

A NON-PARAMETRIC APPROACH FOR ESTIMATION OF PEAK HORIZONTAL ACCELERATION IN JAPAN

An artificial neural network model was developed to predict peak horizontal acceleration in Japan. A complete data set with large number of records of Japanese subduction zone data was considered for the analysis. The local site condition is included into the proposed model, where two types of ground were selected during analysis. Prediction curves related to the soil and rock sites were notably resolved. For comparison some recent attenuation studies in Japan were investigated. It is found that the attenuation of peak horizontal acceleration provided by this study is compatible with other recent attenuation studies in Japan and has relatively superior performance in some instances

Research on working and social participation of the patient with epilepsy

departmental bulletin pape

Sense-antisense TIN transcript pairs simultaneously detected at different ranges of signal intensities for each of three different tissues

<p><b>Copyright information:</b></p><p>Taken from "Genome mapping and expression analyses of human intronic noncoding RNAs reveal tissue-specific patterns and enrichment in genes related to regulation of transcription"</p><p>http://genomebiology.com/2007/8/3/R43</p><p>Genome Biology 2007;8(3):R43-R43.</p><p>Published online 26 Mar 2007</p><p>PMCID:PMC1868932.</p><p></p> The percentages of TIN transcript pairs simultaneously transcribed from the same genomic locus in both the sense and antisense orientations (full symbols), and detected at different ranges of signal intensities, are shown for each of three different tissues: liver (diamonds), prostate (triangles) and kidney (squares). The percentages of TIN messages transcribed in each tissue from only one of the two DNA strands (sense or antisense) are shown as open symbols

Frequency of exon skipping and abundance of wholly intronic noncoding transcription in RefSeq genes

<p><b>Copyright information:</b></p><p>Taken from "Genome mapping and expression analyses of human intronic noncoding RNAs reveal tissue-specific patterns and enrichment in genes related to regulation of transcription"</p><p>http://genomebiology.com/2007/8/3/R43</p><p>Genome Biology 2007;8(3):R43-R43.</p><p>Published online 26 Mar 2007</p><p>PMCID:PMC1868932.</p><p></p> Distribution of exon skipping events along spliced RefSeq genes with 7, 8, 9 or 10 exons. Filled squares indicate the average frequency of skipping per exon for genes with evidence of TIN RNAs mapping to their introns. Open squares indicate the average frequency of skipping per exon for genes with no evidence in GenBank that TIN RNAs map to their introns. A significantly higher (< 0.002) frequency of exon skipping was observed for RefSeq genes with TIN RNA transcription. Distribution of TIN transcripts among the introns of RefSeq sequences with 7, 8, 9 or 10 introns selected from GenBank as being outside the 95% confidence level of significance (not correlated) in a Pearson correlation analysis between the abundance of TIN contigs per intron and the intron size (in nt). Bars indicate the average intron size (nt) for this selected set of genes. Triangles indicate the number of TIN contigs per intron for RefSeq genes for the same set

Expression signatures of wholly intronic RNAs relative to their 3' protein-coding exons

<p><b>Copyright information:</b></p><p>Taken from "Genome mapping and expression analyses of human intronic noncoding RNAs reveal tissue-specific patterns and enrichment in genes related to regulation of transcription"</p><p>http://genomebiology.com/2007/8/3/R43</p><p>Genome Biology 2007;8(3):R43-R43.</p><p>Published online 26 Mar 2007</p><p>PMCID:PMC1868932.</p><p></p> Cross-referencing of the tissue signatures shown in Figure 10 identified subsets of TIN RNAs that have correlated patterns of expression relative to the 3' protein-coding exon signature from the corresponding genomic loci: 38 pairs were identified in which the 3' exon of the protein-coding transcript (right panel) follows a similar expression pattern to that of the antisense TIN RNA (left panel); 16 pairs were identified in which the 3' exon of the protein-coding transcript (right panel) follows a pattern of tissue expression inverted in relation to that of the antisense TIN RNA (left panel); 64 pairs were identified in which the 3' exon of the protein-coding transcript (right panel) follows a similar expression pattern as that of the sense TIN RNA (left panel); 22 pairs were identified where the 3' exon of the protein-coding transcript (right panel) follows a pattern of tissue expression inverted in relation to that of the sense TIN RNA (left panel). For each line in each panel, expression intensities among the three tissues were normalized within each type of probe and colored as a function of the number of standard deviations from the mean value