Královská kanonie premonstrátů na Strahově - Strahovská knihovna Praha CZ AB VIII 44 adl. 4, Královská kanonie premonstrátů na Strahově - Strahovská knihovna Praha CZ AM IX 100 adl. 13, Královská kanonie premonstrátů na Strahově - Strahovská knihovna Praha CZ BU II 134 adl. 5, Královská kanonie premonstrátů na Strahově - Strahovská knihovna Praha CZ EL XIV 43 adl. 37, Národní knihovna ČR Praha CZ 52 C 10 adl. 3, Národní knihovna ČR Praha CZ 65 E 4180, Národní knihovna ČR Praha CZ 46 F 76 adl. 30, Knihovna Akademie věd ČR Praha CZ TF 347 adl. 46, Metropolitní kapitula u sv. Víta v Praze Praha CZ J. d. beta 50 adl. 18, (VETERO-PRAGÆ, Typis Archi-Epiſcopalis Seminarij, in Collegio S.Norberti.), and BCBT41928
Jaderná fúze představuje pravděpodobnou budoucnost energetiky. V současnosti neexistuje jiný energetický zdroj, který by dokázal nahradit spalování fosilních paliv a štěpnou jadernou energetiku. Jaderná fúze je přitom bezpečný, ekologický a prakticky nevyčerpatelný zdroj energie. Parametry plazmatu potřebné k energetickému využití fúze popisuje jednoduchý vzorec - Lawsonovo kritérium., Nuclear fusion is the probable future of energy. Currently, there is no other energy source that could replace fossil fuels and nuclear fission energy. Nuclear fusion is also absolutely safe, highly ecological and especially, from a human point of view an inexhaustible source of energy, The link between the plasma experiment and the fusion energy recovery is represented by a simple formula - the Lawson criterion., Slavomír Entler., and Obsahuje seznam literatury
The intercalation of organic anions, namely acrylate, methacrylate, 2-acrylamido-2-me thyl-1-propanesulfonate (AMPS), 4-vinylbenzoate, and 4,4’-azobis(4-cyanopentanoate) into Mg-Al and Zn-Al layered double hydroxides (LDHs) was studied. The coprecipitated Mg-Al-NO 3 and Zn-Al-NO 3 hydrotalcite-like compounds with M II /Al molar ratio of 2 were used as precursors. The anion exchange and rehydration of calcined LDH precursors were applied for the intercalation. The anion exchange appeared to be the most effective method; all examined organicanions were intercalated successfully by this way both in Mg-Al and Zn-Al host structur es. The intercalated LDHs were us ed as comonomer and initiator for preparation o f LDH/polymethacrylate nanocomposites: mixture of monomer and LDHs intercalated with organic anions were dispersed in aqueous phase and then the emulsion polym erization was performed in the presence of inorganic (nano)particles to obtain polybutylmethacrylate hybrid latexes. Na nostructured hybrid materials containing a low amount (1 - 3 wt%) of inorganic nanofiller were prepared. Particles with size of 60 - 100 nm were detected by dynamic light scattering and small-angle X-ray scattering methods. Furthermore, a hydrophobization of LDH nanof illers with dodecylsulfate (DS) was tested in order to facilitate their dispersion in the polymer matrix. A minor part of AMPS anions was incorporated into Mg-Al-DS LDH during anion exchange in the aqueous solution containing AMPS. Us ing Mg-Al-DS LDH modified w ith AMPS, the nanocomposites were obtained by emulsion polymerization and also by the solution polymer ization in 1-methyl-2-pyrolidone., František Kovanda, Eva Jindová, Barbora Doušová, David Koloušek, Josef Pleštil and Zdeňka Sedláková., and Obsahuje bibliografické odkazy
Reason analysis is a long neglected method of data collection and analysis. This article describes the method and shows some fields of practical application. The methods and principles of reason analysis were first expounded by Lazarsfeld (1935). Reason analysis explores how respondents answer “why” questions during survey interviews. Typically, respondents are asked a simple question inquiring about the reasons that led them to make a specific decision or action. Data obtained in this way are often used to construct a simple classification of respondents. In reality, respondents often have many reasons for making a particular decision, but usually only mention one to an interviewer. Reason analysis contends that responses to ‘why’ questions are a combination of some or all reasons used by the respondent to formulate an answer to an interviewers’ question. Consequently, reason analysis constructs a “tree” of questions and an “accounting scheme” or model of the decision or action being studied. Using this framework, responses are grouped into classes and types according to their (dis)similarity. With the development of software tools it is now easy to estimate reason analysis models of survey response. One key advantage of reason analysis is that it facilitates developing a deeper understanding of the latent structure of groups; and hence allows a more precise estimation of individual level effects in studies of decision-making. As the demand for “structural estimation” models of decision making and action increase, it is likely the reason analysis will become a more influential methodological approach in the 21st century., Hynek Jeřábek., and Obsahuje bibliografii a bibliografické odkazy
This paper explores causal explanations that use panel data and describes the contribution of Paul Lazarsfeld to the methodology of panel analysis. The introductory part describes the concepts of ‘panel data’ and ‘panel analysis.’ The second section is devoted to the history of panel studies. The main part of the paper focuses on the contributions of Paul Lazarsfeld to panel data analysis. The term ‘panel study’ generally denotes any data collection that involves the same respondents who are questioned repeatedly in consecutive waves of a survey. In contrast, ‘panel analysis’ refers to the quantitative analysis of changes in the distributions of responses among the same respondents across two waves of a panel data set. Paul Lazarsfeld developed panel analysis during the late 1930s and early 1940s. The main aim of this early work was to test for causal relationships, and to outline some explanation for the intra-personal changes observed. Lazarsfeld outlined three important panel data analysis procedures: 1) analysis of turnover tables, 2) analysis of qualified change also known as the “analysis of qualifiers”, and 3) analysis of concurrent changes. The latter was often referred to by Lazarsfeld in his methodological papers as the problem of the “sixteen-fold table”. The final section of this paper discusses of the use of control groups in panel studies and problems associated with panel attrition rates., Hynek Jeřábek., and Obsahuje bibliografii a bibliografické odkazy