6 research outputs found

    The Behaviour of Players behind Poker Tables

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    The bachelor thesis deals with the behaviour of poker players, which can be encountered in the game of poker. In my work I am gradually engaged in non-verbal communication, verbal communication and the ethics of poker players. In the section of non-verbal communication, I analyse individual parts of the body from the most important for reading to the least important. I also deal with psychological effects that can greatly influence the behaviour of the players. In the section of verbal communication, I focus mainly on what verbal communication in poker can serve and how to use this knowledge. In the last part I present the issue of ethical behaviour. In the practical part I use the knowledge from my own research as well as the knowledge of the players who were willing to share with me their knowledge. I also use the analysis of the video which is available on YouTube

    Median Expression Values of S/MAR− and S/MAR+ Genes in Different Organs, Root Tissues, and Flower Tissues

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    <p>MPSS data recorded in five different organs are shown (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.0020021#pcbi-0020021-t001" target="_blank">Table 1</a>, dataset 1) (A); for Affymetrix-based measurements (B–D), median values for five root tissues (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.0020021#pcbi-0020021-t001" target="_blank">Table 1</a>, dataset 2) (B), ten organs (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.0020021#pcbi-0020021-t001" target="_blank">Table 1</a>, dataset 4) (C), and five flower tissues (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.0020021#pcbi-0020021-t001" target="_blank">Table 1</a>, dataset 6) (D) are given. For MPSS-based experiments (A), tpm are indicated; for experiments based on the Affymetrix platform (B–D), Affymetrix expression values are plotted. The 5% confidence intervals calculated using bootstrap set for all values are shown.</p

    Additional file 2: Figure S1. of High-resolution identification and abundance profiling of cassava (Manihot esculenta Crantz) microRNAs

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    The sum of abundances of sequences matching to all new cassava miRNAs identified in this study. Precursors are plotted against their locations and the overall sRNA distribution within a 3 kb vicinity in the genomic chunk. The most abundant sequence is denoted with a red arrow; other sRNAs of different sizes are also shown. Some miRNAs were mapped to loci with high levels of sRNAs as well as to loci with low levels of sRNAs. (PPTX 270 kb

    Additional file 3: Figure S2. of High-resolution identification and abundance profiling of cassava (Manihot esculenta Crantz) microRNAs

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    Predicted secondary structure of miRNA precursors identified in this study. Most of the miRNAs were from unbranched terminal loops as while a few had branched terminal loops. The miRNAs are colored in red. (PPTX 473 kb
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