The Order Calculation in the Engineering Company

Import 23/07/2015Diplomová práce je zpracovávána ve společnosti Hagemann a.s. Celá práce se zabývá kalkulací veřejné zakázky Ministerstva vnitra ČR na dodání speciálně upravených policejních vozidel pro monitoring reálných hrozeb. Diplomová práce je rozdělena na dvě základní části, a to teoretickou část a praktickou část. První z částí je popsána problematika veřejných zakázek a hospodářská činnost v podniku. V druhé části je proveden rozbor předmětu veřejné zakázky. Dále byl zpracován návrh postupu plnění zakázky v prostorách společnosti, na které navazuje cenová kalkulace. V závěru práce jsou výsledky práce vyhodnoceny.Master thesis is processed in the company Hagemann a.s. The thesis deals with the calculation of public procurement from Ministry of the Interior to supply police vehicles specially adapted for monitoring real threats. The thesis is divided into two parts, the theoretical and practical part. The first part describes the issue of public procurement and economic activities in the company. The second part is analyzing subject of the contract. Further was processed a proposal for the execution of the contract in the company's premises, which is followed by a calculation and types of costs. In conclusion, the results of the work are evaluated.345 - Katedra mechanické technologievýborn

Conservation communautaire de la biodiversité dans le parc national de Manda et ses zones adjacentes, Tchad : Mission du 14 mai au 27 juin 1999

Le projet vise la conservation communautaire d'une biodiversité d'importance mondiale localisée dans une ensemble d'écosystèmes de transition sahélo-soudaniens en Afrique Centrale, avec une écologie encore relativement peu perturbée et bien conservée, malgré la menace d'un accroissement rapide des pressions humaines et animales. Cette mosaïque d'écosystèmes de transition du sud-est du Tchad héberge un vaste échantillonnage de biodiversité, notamment d'importance mondiale, mais est également l'une des régions du Tchad les plus propices au développement rural, principal pilier de l'économie du pays. Cette situation aboutit à une continuelle regression de l'habitat naturel et de la biodiversité. Le projet envisage de mener des actions auprès des communautés afin de maîtriser les causes de dégradation, puis de restaurer l'environnement. Ces actions visent à vulgariser et disséminer des techniques de planification, d'aménagement et de gestion intégrée des aires protégées et des terroirs villageois adjacents par la promotion d'options alternatives d'utilisation durable des ressources naturelles, de diversification des revenus et de renforcement des capacités des acteurs concernés. (Résumé d'auteur

The mitochondrial ancestor of bonobos and the origin of their major haplogroups

We report here where the most recent common ancestor (MRCA) of bonobos (Pan paniscus) ranged and how they dispersed throughout their current habitat. Mitochondrial DNA (mtDNA) molecular dating to analyze the time to MRCA (TMRCA) and the major mtDNA haplogroups of wild bonobos were performed using new estimations of divergence time of bonobos from other Pan species to investigate the dispersal routes of bonobos over the forest area of the Congo River’s left bank. The TMRCA of bonobos was estimated to be 0.64 or 0.95 million years ago (Ma). Six major haplogroups had very old origins of 0.38 Ma or older. The reconstruction of the ancestral area revealed the mitochondrial ancestor of the bonobo populations ranged in the eastern area of the current bonobos’ habitat. The haplogroups may have been formed from either the riparian forests along the Congo River or the center of the southern Congo Basin. Fragmentation of the forest refugia during the cooler periods may have greatly affected the formation of the genetic structure of bonobo populations

Genetic Structure of Wild Bonobo Populations: Diversity of Mitochondrial DNA and Geographical Distribution

<div><p>Bonobos (<i>Pan paniscus</i>) inhabit regions south of the Congo River including all areas between its southerly tributaries. To investigate the genetic diversity and evolutionary relationship among bonobo populations, we sequenced mitochondrial DNA from 376 fecal samples collected in seven study populations located within the eastern and western limits of the species’ range. In 136 effective samples from different individuals (range: 7–37 per population), we distinguished 54 haplotypes in six clades (A1, A2, B1, B2, C, D), which included a newly identified clade (D). MtDNA haplotypes were regionally clustered; 83 percent of haplotypes were locality-specific. The distribution of haplotypes across populations and the genetic diversity within populations thus showed highly geographical patterns. Using population distance measures, seven populations were categorized in three clusters: the east, central, and west cohorts. Although further elucidation of historical changes in the geological setting is required, the geographical patterns of genetic diversity seem to be shaped by paleoenvironmental changes during the Pleistocene. The present day riverine barriers appeared to have a weak effect on gene flow among populations, except for the Lomami River, which separates the TL2 population from the others. The central cohort preserves a high genetic diversity, and two unique clades of haplotypes were found in the Wamba/Iyondji populations in the central cohort and in the TL2 population in the eastern cohort respectively. This knowledge may contribute to the planning of bonobo conservation.</p> </div

Genetic diversity for each cohort.

<p>Genetic diversity for each cohort.</p

Relation between genetic distance (F_ST) and geographical indices.

<p>Each pair of seven populations, in all 21 pairs, is dotted as a different symbol according to combination of cohorts. (a) Geographical distance between two populations was measured as a straight line. (b) Geographical distance was measured by detouring headwater of big tributaries or lakes. (c) Number of tributaries on the straight-line between two populations. *p<0.05, ***p<0.001.</p

Calculations of AIC using GLM for single factor models.

<p>F_ST was used as a response variable and Gaussian (identity) was used as a family (link function). Signs in parenthesis mean direction to increase F_ST.</p

Genetic diversity of mtDNA haplotypes within seven populations of bonobos in DRC.

<p>Genetic diversity of mtDNA haplotypes within seven populations of bonobos in DRC.</p