17 research outputs found

    Characteristics of Competitors in Natural Survivals

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    Title: Characteristics ofcompetitors in natural survivals Aim: This graduation paper brings a comprehensive overview about the sport branch "natural survival", its organization, structure and race character. The main aim is to :find the characteristics of a group of competitors, their preparation, equipment, way of living and specializations. Method: Research material for our graduation paper has been collected through: Results: Quantitative data collection - a questionnaire. Document analysis, analysis of written materials and websites - qualitative content analysis. Preparation ofcompetitors for these races is not speci:fic. Race attractiveness decides the most about the competitors' participation in individua! races, and race duration decides the least. It is possible to include these races for testing skills, abilities and team cooperation for common sports people with the doser relation to outdoor sports. Comparison of number of competitors in the last years has confinned that the number ofcompetitors has settled down. A new sport branch "natural survival" has been formed. Keywords: Natural survival, sociological research, competitors' preparation and equipment, communication. Strana

    Additional file 4: Table S2. of Bone-associated gene evolution and the origin of flight in birds

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    Positively selected sites of bone-associated genes in Mammalian dataset after multiple testing correction. The alignment length is on Amino acids (aa). Gene in bold are positively selected under the comparison M2a vs M1a. Q-value estimations for multiple testing are represented as positive selected (1) and negative selected (0). (DOC 88 kb

    Additional file 12: Table S9. of Bone-associated gene evolution and the origin of flight in birds

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    Branch model for birds. Bold represents statistical significance (p < 0.05). Q-value estimations for multiple testing are represented as positive selected (1) and negative selected (0). (DOC 114 kb

    Additional file 1: Figure S1. of Bone-associated gene evolution and the origin of flight in birds

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    Skeletal adaptations to flight in bats. Skeleton of Large flying fox (adapted from Wikimedia Commons licensed under a Creative Commons Attribution-Share Alike 3.0 Unported (CC BY-SA 3.0)) and the key features observed in bats skeleton system. The typical bone structure of long bones is highlighted in the light blue box (adapted from Wikimedia Commons licensed under a Creative Commons Attribution-Share Alike 3.0 Unported (CC BY-SA 3.0)). (DOC 331 kb

    Additional file 19: Table S13. of Bone-associated gene evolution and the origin of flight in birds

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    Estimation of dN and dS for each branch under Model 0. For each branch, average of dN and dS and the corresponding standard deviation. (DOC 165 kb

    Additional file 3: Figure S2. of Bone-associated gene evolution and the origin of flight in birds

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    Genomic location of bone-associated genes. The circular ideogram represents the genomic location of bone-associated genes in four of the studied species. Each end-line represents the location of the bone-associated genes. Blue indicates human chromosomes (mammal representative). Dark orange the zebra finch (flying species), green the chicken and yellow the turkey (flightless species). (DOC 896 kb

    Additional file 6: Table S4. of Bone-associated gene evolution and the origin of flight in birds

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    Positively selected sites of bone-associated genes in Reptilian dataset after multiple testing correction. The alignment length is on Amino acids (aa). Bold represents statistical significance (p < 0.05). Q-value estimations for multiple testing are represented as positive selected (1) and negative selected (0). (DOC 158 kb

    Additional file 11: Table S8. of Bone-associated gene evolution and the origin of flight in birds

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    Results from the nested models (M0, M1a, M2a) likelihood ratio test results PAML from Mammalian dataset excluding bats. The alignment length is on Amino acids (aa). Bold represents statistical significance (p < 0.05). Q-value estimations for multiple testing are represented as positive selected (1) and negative selected (0). (DOC 162 kb
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