テクストのミクロ構造・マクロ構造 : 日本人フランス語学習者の問題点とその言語学的分析

application/pdf大阪府立大学言語文化研究. 2003, 2, p.1-12departmental bulletin pape

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

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0812-9869-9940 (WA), Jual Keranda Mayat Slogohimo

<p>0812-9869-9940 (WA), Jual Keranda Mayat Slogohimo@@Jual Keranda Mayat Slogohimo, Jual Keranda Mayat Ciemas, Jual Keranda Mayat Pasiraman Kidul, Jual Keranda Mayat Pasiraman Lor, Jual Keranda Mayat Petahunan, Jual Keranda Mayat Semedo, Jual Keranda Mayat Gerduren, Jual Keranda Mayat Kaliputih, Jual Keranda Mayat Kalitapen@@keranda jenazah 1 set promo @keranda mayat dan pemandian sepaket@keranda awet kokoh anti karat@paket keranda murah@paket keranda jenazah dan pemandian 1 paket@keranda paket@paket pemandian jenazah dan keranda@pemandian jenazah@GRATIS KAIN PENUTUP KERANDA@Menyediakan berbagai kebutuhan kepengurusan jenazah@@Dengan material stainless steel, kami memproduksi KERANDA JENAZAH dan PEMANDIAN JENAZAH yang mana ANTI KARAT, KOKOH, dan JELAS KEAWETANNYA.@@Memudahkan bagi jamaah sekalian dalam kepengurusan jenazah@Dibuat dari STAINLESS STEEL sehingga tahan karat dan aman disimpan dalam ruangan@Desain yang KOKOH mampu menahan berat hingga 300kg @@Spesifikasi Singkat:@-KERANDA@Bahan : Stainless Steel 201@Dimensi : Panjang 200 cm � Lebar 65 cm -Tinggi kurungan 64cm@Beban Maximum 300 kg@@-PEMANDIAN JENAZAH@Bahan : Stainless Steel 201@Dimensi : Panjang 205cm - Lebar 75cm - Tinggi 80cm@Beban MAX : 300KG@@@#JualKerandaMayatSlogohimo, #JualKerandaMayatCiemas, #JualKerandaMayatPasiramanKidul, #JualKerandaMayatPasiramanLor, #JualKerandaMayatPetahunan, #JualKerandaMayatSemedo, #JualKerandaMayatGerduren, #JualKerandaMayatKaliputih, #JualKerandaMayatKalitapen</p&gt

ディジタル画像上の拡張α-hullとその応用

α-hullは凸包の拡張概念で，パラメータαの調整によって点集合を抱合する領域を種々の精度で構成できるが，ディジタル画像に対しては適用された例がない．本論文では，まず連続平面の孤立点集合に対して定義し，その性質を調べる．次に，EDα―hullは，与えられた入力2値画像にR＝|1/α|回の拡張(dilation)に続く，R回の縮小(erosion)を施したものに等しい．あるいは，入力画像の背景の距離変換で距離地R以上の部分を抽出する処理を2回行うことでもEDα-hullを求めることができる．最後に，生体組織標本顕微鏡像の解析に対する応用例を示し，また，計算量について簡単に検討する．上記アルゴリズムでは，入力画像を6回走査することでEDα-hullを得ることができ，計算量は画像の内容にほとんど関係しない．journal articl

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

日本のマスコミ研究 : 回顧と展望(創立20周年記念シンポジウム)

rights: 日本マス・コミュニケーション学会 rights: 本文データは学協会の許諾に基づきCiNiiから複製したものである relation: IsVersionOf: http://ci.nii.ac.jp/naid/110002772432/textapplication/pdfjournal articl