39 research outputs found

    Original Article

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    99 cases were operated while we could not use antibiotics. The author traced X-ray photos on paper and measured areas of the peeled cavities with a planimeter. Results were as follows. 1) 66 cases had increasing stage and the rates were more than 30 %. 2) Cases with good developments showed larger original areas (50〜100cm^2) and smaller increasing rates (less than 30 %). 3) Also their X-ray photos showed coinciding or almost coinciding lines of the apices of lungs and the bases of cavities, but we had to take precautions against suppuration when they showed a horizontal line several days after operation. 4) Most of too high degree of adhesion or thickning of pleura did not show good results. When we found a cord which we must manage with some procedures by pneumolysis we must attend to suppuration too. 5)We ought to resect 4th or 5th rib more than 20 cm and 5th or 4th several cm supplementary. 6) As a method of constriction we commend the INVAGI.NATION method. 7) The author noticed in a considerable number of cases that the areas of cavities increased again after they kept long balanced stages

    Atherosclerosis V, Proceeding of the Fifth International Symposium, A.M. Gotto, L.C. Smith, B. Allen, Spring Verlag, 1979(BOOK REVIEW)

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    Antiviral effect of micafungin on three strains of human rhinoviruses. H1HeLa cells were infected with human rhinovirus type 14 (A), 21 (B), or 71 (C) (100 CCID50) and immediately treated with indicated concentrations of micafungin. Three days after compound treatment antiviral activity was determined by the reduction of cytopathic effect using MTT assay. Cell viability of DMSO-treated cells was set to 0 % and that of uninfected cells was set to 100 %. (TIF 100 kb

    MOESM1 of Pretreatment optimization of the biomass of Microcystis aeruginosa for efficient bioethanol production

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    Additional file 1: Table S1. Pretreatment of algal biomass with 20ml acid, followed by 2 ml of lysozyme and Pretreatment of algal biomass with 20ml acid, followed by 2 ml of lysozyme; Table S2. Algal biomass pretreatment with different combination of alkaline H2O2 solution, lysozyme hydrolysis (2ml), acid hydrolysis (5M H2SO4) and invertase (0.006 g); Table S3. Pretreatment of algae Algal biomass with different combination of CaO, lysozyme hydrolysis (2ml), acid hydrolysis (5M H2SO4) and invertase (0.006 g)

    Additional file 6: of Comparative mitochondrial genomics of cryptophyte algae: gene shuffling and dynamic mobile genetic elements

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    Figure S6. Phylogenetic trees inferred from single genes. The trees were constructed using amino acid sequences of 16 genes: atp6, atp8, atp9, cob, cox1, cox2, cox3, nad1, nad2, nad3, nad4, nad4L, nad5, nad6, rps12, and rpl16. The numbers on each node represent ultrafast bootstrap approximation (UFBoot) using IQ-Tree. The scale bars indicate the number of substitutions/site. (PDF 2672 kb

    Additional file 3: of Comparative mitochondrial genomics of cryptophyte algae: gene shuffling and dynamic mobile genetic elements

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    Figure S3. All tRNAs wih palindromic sequences in cryptophyte mitochondrial genomes. The non-tRNA sequences are marked with blue and palindromic sequences are marked with purple. (PDF 1644 kb

    Additional file 1: of Comparative mitochondrial genomics of cryptophyte algae: gene shuffling and dynamic mobile genetic elements

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    Figure S1. Overview of cryptophyte mitochondrial genomes. Linearized maps of the five novel complete mitochondrial genomes are compared to those from previous studies. The color coded syntenic blocks are shown above each genome, and the gene maps are shown below. The syntenic blocks above the horizontal line are on the same strand, and those below the line are on the opposite strand. The horizontal bars inside the syntenic blocks show sequence conservation. The block boundaries correspond to sites where inversion events have occurred. In the gene maps, the genes above the horizontal line are transcribed from left to right, and those below the horizontal line are transcribed from right to left. The rRNA genes are shown in red. (PDF 1860 kb

    Additional file 2: of Comparative mitochondrial genomics of cryptophyte algae: gene shuffling and dynamic mobile genetic elements

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    Figure S2. Hairpin structures wih palindromic sequence in cryptophyte mitochondrial genomes. The non-tRNA sequences are marked with blue and palindromic sequences are marked with purple. (PDF 897 kb

    Additional file 4: of Comparative mitochondrial genomics of cryptophyte algae: gene shuffling and dynamic mobile genetic elements

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    Figure S4. Conservation of ribosomal protein gene organization. Gene order found in cryptophyte mitochondrial genomes compared with that of the contiguous bacterial str, S10 spec and alpha operons of Escherichia coli and Rickettsia prowazekii. (PDF 548 kb

    Additional file 1: Table S1. of Identification of somatic mutations using whole-exome sequencing in Korean patients with acute myeloid leukemia

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    Details of the 36 AML patients. Table S2. Functional information for 15 significantly mutated genes in 36 Korean AML patients. Table S3. Results of gene ontology and KEGG pathway analyses. (DOCX 38 kb

    Additional file 7: Figure S4. of Classification of low quality cells from single-cell RNA-seq data

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    Datasets distant from mES training data. (A) Comparing log normalized UMI counts (y-axis) and log normalized read counts (x-axis) for each gene in 960 mESCs. (B) PCA of first two principal components of all features. Low quality cells separate from high quality cells. (C, D) PCA plot of features of two published human cancer cell datasets [28, 53]. Boxplots on the left and bottom show the top three features separating low from high quality cells for PC1 and PC2, respectively. They align with our previous findings that the mtDNA and ERCC to mapped reads ratios are upregulated in low quality cells. (E) Feature-based PCA combining mouse ES training set and two published human cancer datasets. ‘Cytoplasm’ separates not only the human from the mouse but also the two different cancer samples from each other, meaning that the features trained on mouse cells are not directly transferrable to human cancer cells. (PDF 591 kb
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