Early Spectroscopy of the 2010 Outburst of U Scorpii

We present early spectroscopy of the recurrent nova U~Sco during the outburst in 2010. We successfully obtained time-series spectra at $t_{\rm d}=$0.37--0.44~d, where $t_{\rm d}$ denotes the time from the discovery of the present outburst. This is the first time-resolved spectroscopy on the first night of U Sco outbursts. At $t_{\rm d}\sim 0.4$~d the H$\alpha$ line consists of a blue-shifted ($-5000$ km s$^{-1}$) narrow absorption component and a wide emission component having triple peaks, a blue ($\sim -3000$ km s$^{-1}$), a central ($\sim 0$ km s$^{-1}$) and a red ($\sim +3000$ km s$^{-1}$) ones. The blue and red peaks developed more rapidly than the central one during the first night. This rapid variation would be caused by the growth of aspherical wind produced during the earliest stage of the outburst. At $t_{\rm d}=1.4$~d the H$\alpha$ line has a nearly flat-topped profile with weak blue and red peaks at $\sim \pm 3000$ km s$^{-1}$. This profile can be attributed to a nearly spherical shell, while the asphericity growing on the first night still remains. The wind asphericity is less significant after $t_{\rm d}=9$ d.Comment: 5 pages, 3 figures, Accepted for publication of PASJ Letter

コウジョウセン ニュウトウガン ト ハシモトビョウ ノ カンベツ ニ ツイテ

Introduction: Thyroid fine-needle cytology is the first line clinical method for thyroid nodule to select patients for surgery, because papillary carcinoma has diagnostic characteristics in cytology, such as nuclear enlargement, nuclear grooves and nuclear inclusions. However over-diagnosis of Hashimoto disease is well known fact to occur frequently.Materials and Methods: Morphometric analysis of cytological samples from Hashimoto disease, papillary carcinoma and benign adenomatous nodule were carried out 4 cases each using Papanicolaou stained conventional smear samples.Results: Sizes of clusters were evaluated by counting number of follicular cells in the cluster. It was larger in papillary carcinoma (63.3/cluster) and benign (43.9/cluster) than Hashimoto disease (18.9/cluster) (P=0.006). The nuclear diameter increased in Hashimoto disease and the average of the longest diameter was 6.5μm and the shortest was 5.5μm, which was overlapped with those of papillary carcinoma. The number of nuclear grooves increased from benign (<1%), Hashimoto disease (6%) to papillary carcinoma (16%).Conclusion: There are significant overlap between Hashimoto disease and papillary carcinoma morphologically. For more accurate diagnosis of Hashimoto disease may be achieved only with combined morphological features

Ensemble Learning with Neural Networks for Classifying Environmental Sounds

This paper proposes a classification method for environmental sounds based on neural networks. However, neural networks need trail and error, which are very tedious tasks. To simplify classification accuracy, we investigate two popular ensemble learning methods: Bagging and AdaBoost. We experimentally compare their performances with a single neural network. The results show that their performance is slightly improved and that bagging works more effectively than AdaBoost.The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.htmlIFSR 2005 : Proceedings of the First World Congress of the International Federation for Systems Research : The New Roles of Systems Sciences For a Knowledge-based Society : Nov. 14-17, 2164, Kobe, JapanSymposium 3, Session 8 : Intelligent Information Technology and Applications Computational Intelligence (2

Changes in annual transcriptome dynamics of a clone of Japanese cedar (Cryptomeria japonica D. Don) planted under different climate conditions.

Environmental responses are critical for plant growth and survival under different climate conditions. To elucidate the underlying biological mechanisms of environmental responses in Japanese cedar (Cryptomeria japonica D. Don), the annual transcriptome dynamics of common clonal trees (Godai1) planted at three different climate sites (Yamagata, Ibaraki, and Kumamoto Prefectures) were analyzed using microarrays. Both principal component analysis (PCA) and hierarchical clustering of the microarray data indicated the transition to dormant transcriptome status occurred earlier and the transition to active growth status later in the colder region. Interestingly, PCA also indicated that the transcriptomes of trees grown under three different conditions were similar during the growth period (June to September), whereas the transcriptomes differed between sites during the dormant period (January to March). In between-site comparisons, analyses of the annual expression profiles of genes for sites 'Yamagata vs. Kumamoto', 'Yamagata vs. Ibaraki', and 'Ibaraki vs. Kumamoto' identified 1,473, 1,137, and 925 targets exhibiting significantly different expression patterns, respectively. The total of 2,505 targets that exhibited significantly different expression patterns in all three comparisons may play important roles in enabling cuttings to adapt to local environmental conditions. Partial least-squares regression analysis and Pearson correlation coefficient analysis revealed that air temperature and day length were the dominant factors controlling the expression levels of these targets. GO and Pfam enrichment analyses indicated that these targets include genes that may contribute to environmental adaptation, such as genes related to stress and abiotic stimulus responses. This study provided fundamental information regarding transcripts that may play an important role in adaptation to environmental conditions at different planting sites