スーパーコンピュータを使おう（4）

2008-05departmental bulletin pape

フランス語教育に関する対照言語学からの提言 : 発話状況依存と自律した言語世界

application/pdf大阪府立大学言語文化研究. 2004, 3, p.43-56departmental bulletin pape

Improved Constraints on D0-D̅0 Mixing in D0→K+π- Decays from the Belle Detector

journal articl

硬線ノ電気抵抗、比重、溶解度ニ及ボス焼鈍ニ就テ

東京帝国大学工学部種別:卒業論文thesi

Prediction of 24-h and 6-h Periods before Calving Using a Multimodal Tail-Attached Device Equipped with a Thermistor and 3-Axis Accelerometer through Supervised Machine Learning

In this study, we developed calving prediction models for 24-h and 6-h periods before calving using data on physiological (tail skin temperature) and behavioral (activity intensity, lying time, posture change, and tail raising) parameters obtained using a multimodal tail-attached device (tail sensor). The efficiencies of the models were validated under tethering (tie-stall) and untethering (free-stall and individual pen) conditions. Data were collected from 33 and 30 pregnant cattle under tethering and untethering conditions, respectively, from approximately 15 days before the expected calving date. Based on pre-calving changes, 40 features (8 physiological and 32 behavioral) were extracted from the sensor data, and one non-sensor-based feature (days to the expected calving date) was added to develop models using a support vector machine. Cross-validation showed that calving within the next 24 h under tethering and untethering conditions was predicted with a sensitivity of 97% and 93% and precision of 80% and 76%, respectively, while calving within the next 6 h was predicted with a sensitivity of 91% and 90% and precision of 88% and 90%, respectively. Calving prediction models based on the tail sensor data with supervised machine learning have the potential to achieve effective calving prediction, irrespective of the cattle housing conditions

GenoBase: comprehensive resource database of Escherichia coli K-12

Comprehensive experimental resources, such as ORFeome clone libraries and deletion mutant collections, are fundamental tools for elucidation of gene function. Data sets by omics analysis using these resources provide key information for functional analysis, modeling and simulation both in individual and systematic approaches. With the long-term goal of complete understanding of a cell, we have over the past decade created a variety of clone and mutant sets for functional genomics studies of Escherichia coli K-12. We have made these experimental resources freely available to the academic community worldwide. Accordingly, these resources have now been used in numerous investigations of a multitude of cell processes. Quality control is extremely important for evaluating results generated by these resources. Because the annotation has been changed since 2005, which we originally used for the construction, we have updated these genomic resources accordingly. Here, we describe GenoBase (http://ecoli.naist.jp/GB/), which contains key information about comprehensive experimental resources of E. coli K-12, their quality control and several omics data sets generated using these resources.journal articl

The evolutionary origin of the Runx/CBFbeta transcription factors – Studies of the most basal metazoans-0

Erved VWRPY Groucho-binding motif is in yellow. The numbers beneath the diagram represent the sizes of the various exon products (in amino acids) in the and genes. . The arrowhead represents the end of the RD and * marks the cysteine residues which function as 'redox switches". . The red line in the last exon represents the location of the stop codon. The numbers beneath the diagram represent the sizes of the various exon products (in amino acids). .<p><b>Copyright information:</b></p><p>Taken from "The evolutionary origin of the Runx/CBFbeta transcription factors – Studies of the most basal metazoans"</p><p>http://www.biomedcentral.com/1471-2148/8/228</p><p>BMC Evolutionary Biology 2008;8():228-228.</p><p>Published online 5 Aug 2008</p><p>PMCID:PMC2527000.</p><p></p

The evolutionary origin of the Runx/CBFbeta transcription factors – Studies of the most basal metazoans-2

Elihoods were calculated using the Rt-REV amino acid substitution matrix []. In the case of CBFβ, likelihoods were calculated using the JTT amino acid substitution matrix. Separate neighbor-joining analyses using the JTT distance matrix were also performed for each data set (not shown). The bars and icons indicate the locations of the taxonomic groupings on each tree with the deuterostome and protostome groups marked with filled and empty circles respectively. Both trees are rooted between the sponge sequences and the eumetazoan sequences. The length of each horizontal branch is proportional to the number of amino acid substitutions that have occurred along that branch (scale at lower part of each panel). The first and second numbers at each node indicate the percentage of 1,000 bootstrap replicates in which the given clade is recovered with maximum likelihood and neighbor-joining analyses, respectively. Nodes which failed to receive at least 40% bootstrap support in one of the analyses are not labeled. The sources of the sequences and the abbreviations for taxa are provided in Additional files and .<p><b>Copyright information:</b></p><p>Taken from "The evolutionary origin of the Runx/CBFbeta transcription factors – Studies of the most basal metazoans"</p><p>http://www.biomedcentral.com/1471-2148/8/228</p><p>BMC Evolutionary Biology 2008;8():228-228.</p><p>Published online 5 Aug 2008</p><p>PMCID:PMC2527000.</p><p></p

The evolutionary origin of the Runx/CBFbeta transcription factors – Studies of the most basal metazoans-4

Ion (including tentacle bases), body column, and physa. Reverse-transcription (RT) PCR was performed on an equal amount of total RNA extracted from each of the four body regions. An equivalent fraction of the amplification reaction was visualized on an agarose gel. Using this assay, expression was detected in the tentacles, and to a lesser extent in the head/pharyngeal region, but not in the column or physa. As a positive control, actin was found to be expressed at high levels in all four body regions.<p><b>Copyright information:</b></p><p>Taken from "The evolutionary origin of the Runx/CBFbeta transcription factors – Studies of the most basal metazoans"</p><p>http://www.biomedcentral.com/1471-2148/8/228</p><p>BMC Evolutionary Biology 2008;8():228-228.</p><p>Published online 5 Aug 2008</p><p>PMCID:PMC2527000.</p><p></p