SAŽETA POVIJEST SUDSKE MEDICINE U ČEŠKOJ REPUBLICI

This paper presents the most important historical facts about all forensic medicine workplaces in the Czech Republic since the beginning till present day, including a perspective on how to establish a new one. Each of the University Forensic Medicine Institutes or district Departments is covered by at least one author. The oldest institute is in Prague and in Brno, the youngest is in Pardubice.U radu su ukratko navedeni najvažniji podaci o povijesti svih medicinskih odjela za sudsku medicinu u Češkoj Republici od samih početaka pa do današnjice, uključujući perspektivu i mogućnosti za osnivanje novih. Svaki od sveučilišnih instituta i okružnih odjela zastupa minimalno jedan autor. Najstarija povijest sudske medicine je naravno u Pragu i u Brnu. Najmlađi odjel je u Pardubicama

Hospodaření fakultní nemocnice v Olomouci

Import 20/04/2006Prezenční výpůjčkaVysoká škola báňská v Ostravě. Ekonomická fakult

Indicating Financial Health of Czech Companies with the Support of Modern Methods of Multidimensional Data Processing

Financial health of companies is a topic that has been historically studied under various conditions. However, the current economy is a living organism and, the conditions affecting the financial health of companies are changing dynamically. There are many ways how to evaluate the financial health of a company. In addition to the use of the ratio indicators, complex models using one numeric indicator expressing the financial health of the company can be applied. These include, for example, bankruptcy and credibility models. These models are based on the assumption that companies had been experiencing certain anomalies some years before their bankruptcy, indicating future problems in their economic activities, which are typical for units at the risk of bankruptcy. A major problem for the company’s financial health research has so far been the lack of relevant electronic data over a longer timeframe. This situation is changing significantly today. One source that can be used in the Czech Republic now is the MagnusWeb database of the Bisnode company. This database provides a relatively large amount of data that can be tested and examined. With the development of computer science, applications for multi-dimensional data processing in the form of neural networks, clustering, genetic algorithms or decision trees can be used for this study. The basic element of this article is the research of financial health of companies in the Czech Republic using advanced methods of multi-dimensional data analysis. Thanks to this approach, it is possible to examine extensive data and verify the validity of existing complex models in the economic practice of the Czech companies

Salphen-Co(III) complexes catalyzed copolymerization of epoxides with CO2

The series of novel symmetric and asymmetric salphen cobalt (III) complexes with different counteranions (trichloroacetate, dinitrophenolate, pentafluorobenzoate and acetate) was synthesized and used as catalysts in copolymerization of CO2 with propylene oxide (PO) and cyclohexene oxide (CHO). Hexacoordinated structure of complexes adducts was found in solid phase. The effect of catalyst structure, temperature, CO2 pressure, catalyst/cocatalyst ratio on overall activity and selectivity was investigated. Synthesized salphen-Co (III) complexes were effective for both PO/CO2 and CHO/CO2 highly alternating copolymerization. Substitution of phenylene framework of salphen ligand by chlorine atom led to decrease of activity in PO/CO2 copolymerization. Complexes with trichloroacetate counteranion were shown to be the most active and selective in PO/CO2 copolymerization leading to poly(propylenecarbonate) with highest molar mass. On contrary, catalytic performance of salphen Co (III) complexes in CHO/CO2 copolymerization was almost independent on ligand structure and counteranion. Excellent selectivity to poly(cyclohexenecarbonate) was achieved even at 0.1 MPa CO2. MALDI-TOF analysis of polycarbonates was used to investigate the initiation step of the copolymerization