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Semantic richness is a multidimensional and dynamic construct that can be defined as the amount of semantic information a word possesses. In this thesis, the semantic richness dimensions of number of associates, number of semantic neighbours, and body-object interaction were investigated. Forty-eight young adults were randomly assigned to perform either lexical decision (LDT) or semantic categorization tasks (SCT). The goal of this thesis was to investigate behavioural and electrophysiological differences (using the Event-Related Potential technique) between semantically rich words and semantically impoverished words. Results revealed that the amplitude of the N400 ERP component was smaller for words with high number of associates and high number of semantic neighbours compared to words with low number of associates or low number of semantic neighbours, respectively, but only during LDT. Behavioural results, however, only showed an accuracy and reaction time advantage (during item analyses) for words with many associates. In contrast, N400 amplitudes did not differ for words with high body-object interaction rating when compared to words with low body-object interaction rating in any of the tasks, although a behavioural reaction time advantage was observed in item analyses of the LDT. These results suggest that words with many associates or semantic neighbours may be processed more efficiently and be easier to integrate within the neural semantic network than words with few associates or semantic neighbours. In addition, the N400 effect was seen in the LDT but not in the SCT, suggesting that semantic richness information may be used in a top-down manner in order to fulfill the task requirements using available neural resources in a more efficient manner.

V práci je popsán teoretický postup při pořádání eventů, který vychází ze zásad projektového řízení. Tyto postupy jsou také aplikovány v praktické realizaci eventu. Následuje výzkum aktuálních trendů v event managementu a výzkum cílových skupin s pomocí dat MML/TGI.

The diploma thesis deals with problems of event marketing and its position in the communication mix of the companies Karlovarské minerální vody, a.s. and EMCO spol. s.r.o.. First of all it describes basic theory aspects of event marketing. The practical part of the thesis faces the two brands application of event marketing strategy. According to defined aspects the thesis describes and weighs one of Mattoni events and one of Emco events.

The thesis is focused on design of semi-automatic creation of incidents in the operational monitoring of Czech insurance company, based on the interconnection of two independently functioning applications currently used in the DoC (monitoring center). The purpose of the introduction of the new solution is saving time required for establishing an incident in SD (Service Desk) and its handover to a particular solver, which has a positive impact on the overall time dealing with the incident. Concept of semi-automatic creation of incidents in this thesis is prepared in relation to the analysis of the current state of the escalation of incidents, which included the measurement of the duration of the creation of incidents for a specific period. Final concept was tested in a non-productive environment and had the time of incident establishing measured. Based on the results obtained by empirical measurement method, tested solution was recommended for deployment in the production environment in terms of concrete benefits for operational monitoring ČPOJ.

Despite strong evidence supporting the existence of posttraumatic growth (PTG), some investigators question whether the construct measured by the Posttraumatic Growth Inventory (PTGI) is that of perceived growth or “actual” growth. In a replication of a recent investigation, the present study sought to refine the methodology used by employing the construct of event centrality. Due to its limited sample size, the results of this analysis did not provide strong evidence in support of the hypothesis that limiting analyses to individuals rating their trauma as high in event centrality improves the ability of the PTGI to reflect “actual” growth. However, results did support the idea that investigations of PTG conducted immediately following a trauma may be more reflective of a coping process, rather than growth. Further research is warranted to investigate the role of event centrality in posttraumatic growth, and the effect of time on the progression of growth following trauma.

This thesis studies two aspects of the statistical analysis of complex data in survival and event history analysis. After a short introduction to survival and event history analysis in Chapter 1, we proposed a multivariate proportional intensity factor model for multivariate counting processes in Chapter 2. In an exploratory analysis on process data, a large number of possibly time-varying covariates maybe included. These covariates along with the high-dimensional counting processes often exhibit a low-dimensional structure that has meaningful interpretation. We explore such structure through specifying random coefficients in a low dimensional space through a factor model. For the estimation of the resulting model, we establish the asymptotic theory of the nonparametric maximum likelihood estimator (NPMLE). In particular, the NPMLE is consistent, asymptotically normal and asymptotically efficient with covariance matrix that can be consistently estimated by the inverse information matrix or the profile likelihood method under some suitable regularity conditions. Furthermore, to obtain a parsimonious model and to improve interpretation of parameters therein, variable selection and estimation for both fixed and random effects are developed by penalized likelihood. We illustrate the method using simulation studies as well as a real data application from The Programme for the International Assessment of Adult Competencies (PIAAC). Chapter 3 concerns rare events and sparse covariates in event history analysis. In large-scale longitudinal observational databases, the majority of subjects may not experience a particular event of interest. Furthermore, the associated covariate processes could also be zero for most of the subjects at any time. We formulate such setting of rare events and sparse covariates under the proportional intensity model and establish the validity of using the partial likelihood estimator and the observed information matrix for inference under this framework.

Architecture consists of parts that make a whole. These parts can be defined as decisions, details, joints, spaces, forms. But what if these parts are experiences, specific encounters woven together to create the whole? This project is a whole, assembled by episodic moments. The pavilion is designed on Daingerfield Island, located south of Ronald Reagan National Airport along the Potomac River in Alexandria, Virginia. The site offers a panoramic view across the water of the airport, Washington Monument, Jefferson Memorial, and the U.S. Capitol. The Washington Sailing Marina and the Mount Vernon Trail define Daingerfield\'s edges. Despite its name, the now peninsula is a delightful place full of potential activity for sailors, bicyclists, and visitors who want to be near the water. Along the eastern edge exists an array of trees that provides a natural canopy for visitors who sit along the waterfront and watch the planes arrive and depart from the airport. The project proposes to design a pavilion with a second floor restaurant within these trees, anchored to the water\'s edge. The project removes the existing restaurant on the tip of the peninsula to create space for a park and open up the view across the water of Washington, D.C. In the project, the Mount Vernon Trail extends around Daingerfield Island along the waterfront. / Master of Architecture

This thesis is an examination of the significance of time and temporal phenomena in the conception and construction of the built environment. It began as a question regarding the aging and life-span of contemporary buildings, in contrast with those that have at present survived long enough to earn designation as 'historic' buildings. The term'temporal phenomena' is defined here as sensory experiences which make the passage of time accessible and meaningful to those interacting with the built environment. Le Corbusier wrote that an original intent of painting was to record, to create permanent evidence of events and things that passed away with time and were forgotten, or couldn't be seen later. He suggests that the camera is a much better tool for this, and so painting has lost part of its purpose. Buildings and cities have always had the effect of retaining memory and creating cultural meanings. Cultural reliance on continuous improvements in environmental and building technologies have obviated the building's ancient place as a datum through which human beings understand the passage of time. And perhaps it is the loss of that sacred duty that leads to short-lived, disposable buildings, and the proliferation of placeless-ness in contemporary environments. A design for a brewery on the banks of the Potomac River in Alexandria, Virginia became the vehicle to explore strategies for making time meaningful and present through the physical reality of the building, the brewing process, and the interrelated lives of the brewer and the city. / Master of Architecture

This study aims to establish if a relationship between the investor sentiment generated from social media posts, such as Tweets, and the return on securities exists. If a relationship exists, one would be able to obtain an informational advantage from public information and outperform the market on a risk-adjusted basis. This would give the “outsider” information processed the predictive power of insider information, hence the title of the paper. The study makes use of Bloomberg's social activity data, which through natural language processing, allows for investor sentiment to be obtained by analysing a combination of Twitter and Stock Twits posts. This paper makes use of a three-prong approach, firstly examining if investor sentiment is a predictor of next-day returns. Next, an event study methodology is used to examine the optimal holding period, which can further be expanded to test market efficiency. Lastly, this paper considers the asymmetric risk aversion as outlined by Kahneman and Tversky (1979). Results show that there is little to no correlation between sentiment and next day returns. There is evidence for a multi-day holding period being optimal but statistically insignificant and there is no evidence found for asymmetric risk aversion.