National Repository of Grey Literature 64 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
Cryptococcus neoformans virulence factors
Bauer, Martin ; Kuthan, Martin (advisor) ; Abrhámová, Kateřina (referee)
Cryptococcus neoformans is an opportunistic pathogenic yeast causing around 600 000 deaths annually. Its ability to cause a chronic infection is given by multiple virulence factors, which include the ability to grow in high temperature, polysaccharide capsule, oxidative stress tolerance and the expression of surface proteins. Unusual and resistant titan cells, which develop through the process of titanization, and the process of phenotypic switching can also be included. Despite intensive research, these virulence factors are yet to be fully described. Inducing factors of titan cells and participating signalling pathways are known. However, a complete model of titanization does not yet exist. So far, the mechanism of phenotypic switching is also unknown. In this work the current knowledge of virulence factors of C. neoformans is presented and summarised.
An Application of Islamic Banking Principles in Azerbaijan
Mammadli, Sabina ; Teplý, Petr (advisor) ; Bauer, Michal (referee)
This master thesis examines key differences between Islamic and conventional banks. We use a data on 2374 banks from 47 countries for the 2010-2016 period. We apply comparative statistical analysis, Ordinary Least Squares regression and System Generalized Method of Moments to estimate the effects of both bank types on their profitability and stability. The contribution of the thesis is threefold. First, we find a significantly higher profitability of Islamic banks compared to conventional ones. Second, we did not find any evidence that Islamic banks are less stable. Finally, we conclude that the women participation in financial activities is correlated with the development of conventional, not Islamic, banks JEL Classification G21, C33, F33, F34, J11 Keywords Islamic banking, bank profitability, bank stability, gender participation Author's e-mail Sabina.mammadli@hotmail.com Supervisor's e-mail Petr.teply@fsv.cuni.cz Master's Thesis Proposal Institute of Economic Studies Faculty of Social Sciences Charles University in Prague Author: Bc. Sabina Mammadli Supervisor: Doc. PhDr. Petr Teplý, PhD. E-mail: Sabina.mammadli@hotmail.c om E-mail: Petr.teply@fsv.cuni.cz Phone: 608 550 236 Phone: 222 112 326 Specializatio n: CSF Defense Planned: June 2017 Proposed Topic: An Application of Islamic Banking Principles in...
Income Shocks and Ethnic Group Bias
Hruban, Jiří ; Bauer, Michal (advisor) ; Horváth, Roman (referee)
Diploma Thesis Abstract JEL Classification Z13, O12, O13, Z91 Keywords income shock, endogeneity, ethnicity, instrumental variables Title Income Shocks and Ethnic Group Bias Author's e-mail 61618416@fsv.cuni.cz Supervisor's e-mail bauerm@fsv.cuni.cz Abstract The thesis explores how individual income shocks impact ethnic group bias using a survey dataset from Uganda and meteorological data. Previous research has shown that the majority of civil conflicts break down along ethnic lines, and that ethnic tribalism harms economic performance of countries. A better understanding of the causal mechanism behind ethnic bias could help alleviate both of those problems. The author finds that income shocks have no measurable effect on ethnic out-group bias, but they might influence ethnic in-group bias. Since the regression of ethnic bias variables on income proxies likely suffers from endogeneity, the author employs the copula endogeneity correction model, which, however, does not prove to perform well with a binary dependent variable. In addition, the author demonstrates that ethnic group bias is most likely not directly influenced by variations in rainfall and that instrumenting for income with rainfall variation leads to non- robust results with even a small violations of model assumptions.
Phenotypic switching and cell differentiation in yeast Cryptococcus neoformans
Bauer, Martin ; Kuthan, Martin (advisor) ; Abrhámová, Kateřina (referee)
Cryptococcus neoformans is an opportunistic pathogenic yeast causing around 600 000 deaths annually. Its ability to cause a chronic infection is given by the emergence of different morfotypes. These morphotypes differ in cell structures and mechanisms (virulence factors) which have an influence on the resistance to stress factors encountered in the host. This work first describes molecular mechanisms of formation of these virulence factors. Next, it presents morphotypes occurring during infection and the hypovirulent pseudohyphal morphotype. However, this morphotype is interesting because of a modification in the signalisation leading to its manifestation. Finally, described signalling pathways present possible ways of regulating the virulence factors, and so the manifestation of different morphotypes. Understanding these signalling pathways could ultimately lead to improving the development of new drugs, given that Cryptococcus neoformans is highly resistant to the existing ones. Keywords: Cryptococcus neoformans, phenotypic switching, titan cells, cell differentiation, virulence, Vad1, Rim101, Usv101, RAM
Anti-social behavior in groups
Bauer, Michal ; Cahlíková, J. ; Celik Katreniak, D. ; Chytilová, Julie ; Cingl, L. ; Želinský, T.
This paper provides strong evidence supporting the long-standing speculation that decisionmaking in groups has a dark side, by magnifying the prevalence of anti-social behavior towards outsiders. A large-scale experiment implemented in Slovakia and Uganda (N=2,309) reveals that deciding in a group with randomly assigned peers increases the prevalence of anti-social behavior that reduces everyone’s payoff but which improves the relative position of own group. The effects are driven by the influence of a group context on individual behavior, rather than by group deliberation. The observed patterns are strikingly similar on both continents.
Income Inequality and Economic Growth: A Meta-Analysis
Posvyanskaya, Alexandra ; Havránková, Zuzana (advisor) ; Bauer, Michal (referee)
The impact of inequality on economic growth has become a topic of broad and current interest. Multiple researches investigated the issue but the disparity of opinions and empirical results is huge. The present thesis revises the pri- mary literature through a meta-analytical approach applying Bayesian Model Averaging (BMA) estimation technique. We examine 562 estimates collected from 58 studies published between 1991 and 2015. I find the evidence of the publication bias presence in the literature. The authors of primary studies tend to report preferentially negative and significant estimates. The BMA results suggest that the effect of inequality on growth is not straightforward and is likely not linear. A single pattern for inequality/growth relationship is not fea- sible since the results vary across used income inequality measures, estimation methods and data structure and quality. JEL Classification D31, O10, C11, C82 Keywords meta-analysis, inequality, economic growth, Bayesian model averaging, publication bias Author's e-mail 23376990@fsv.cuni.cz Supervisor's e-mail zuzana.havrankova@fsv.cuni.cz
Effects of poverty on impatience: preferences or inattention?
Bartoš, V. ; Bauer, Michal ; Chytilová, Julie ; Levely, I.
We study two psychological channels how poverty may increase impatient behavior – an effect\non time preference and reduced attention. We measured discount rates among Ugandan farmers\nwho made decisions about when to enjoy entertainment instead of working. We find that\nexperimentally induced thoughts about poverty-related problems increase the preference to\nconsume entertainment early and delay work. The effect is equivalent to a 27 p.p. increase in\nthe intertemporal rate of substitution. Using monitoring tools similar to eye tracking, a novel\nfeature for this subject pool, we show this effect is not due to a lower ability to sustain attention.
Hormones and Competitive Behavior
Sýkora, Zdeněk ; Cingl, Lubomír (advisor) ; Bauer, Michal (referee)
The thesis aims to contribute to the literature on the biological underpinnings of important economic behaviors. Financial markets can become dangerously unstable from many reasons such as the hormones contained in our bodies. We primarily focus on the effect of basal testosterone and cortisol on willingness to compete and risk taking. We also investigate their interaction called the dual-hormone hypothesis, because it has not been sufficiently analyzed and replicated so far. We run a controlled laboratory experiment with 96 university students and have gender-balanced dataset, thus we can also examine gender differences. We find no support that higher testosterone increase willingness to compete in men as opposed to most of the recent literature. Moreover, higher levels of testosterone decrease competitiveness but only for women. We further find positive effect of the 2D:4D ratio for women and negative effect of trait anxiety for men on competitiveness. There are also substantial gender differences in competitive and risk taking behavior. We cannot confirm the dual-hormone hypothesis for willingness to compete. But we find significant support for the dual-hormone hypothesis for risk taking for women and with negative effect of testosterone on risk taking. The effects stay robust even after...
Price Determinants of Art Photography at Auctions
Habalová, Veronika ; Šopov, Boril (advisor) ; Bauer, Michal (referee)
In the recent years, prices of art have repeatedly broken records, and the interest in investing in fine art photography has been growing. Although there is plenty of research dedicated to studying prices of paintings, fine art photography has been largely overlooked. This thesis aims to shed light on identifying price determinants for this particular medium. A new data set is collected from sold lot archives of Sotheby's and Phillips auction houses, which also provide images of some of the sold items. These images are then used to create new variables describing visual attributes of the artworks. In order to inspect the effect of color-related predictors on price, four different methods are discussed. Color is found to be significant in OLS model, but the effect diminishes when model averaging is applied. Machine learning al- gorithms - regression trees and random forests - suggest that the importance of color is relatively low. The thesis also shows that expert estimates can improved by incorporating available information and using random forests for prediction. The fact that the expert estimates are not very accurate sug- gest that they either do not use all the available information or they do not process it efficiently. 1

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