Factors Influencing Customer Satisfaction in E-commerce

Cílem této bakalářské práce bylo zjištěmé faktorů, které jsou pro zákazníka dominantními v rámci jeho spokojenosti s online nákupem. Na základě těchto faktorů byla následně vytvořena doporučení k přístupu ke všem těmto významným faktorům.The aim of this bachelor thesis was to determine the factors that are dominant for the customer in the context of his satisfaction with the online purchase. Based on these factors, recommendations were subsequently created to address all of these important factors.116 - Katedra marketingu a obchoduvelmi dobř

IMPORTANCE OF A TYPE OF GATING SYSTEM IN INVESTMENT CASTING TECHNOLOGY

At present, there is an increasing demand for the Investment casting technology. It is necessary to ensure their dimensional accuracy as well as internal quality and their desired macrostructure and microstructure. This paper deals with the issue of filling ceramic shells and their influence on the occurrence of oxide inclusions. The aim is to compare several proposed ceramic systems with top and bottom filling of a shell consisting of 4 blades and a gating system in terms of turbulence and monitoring of the contact line between the melt and the surrounded air

IMPORTANCE OF A TYPE OF GATING SYSTEM IN INVESTMENT CASTING TECHNOLOGY

At present, there is an increasing demand for the Investment casting technology. It is necessary to ensure their dimensional accuracy as well as internal quality and their desired macrostructure and microstructure. This paper deals with the issue of filling ceramic shells and their influence on the occurrence of oxide inclusions. The aim is to compare several proposed ceramic systems with top and bottom filling of a shell consisting of 4 blades and a gating system in terms of turbulence and monitoring of the contact line between the melt and the surrounded air

Competitiveness Analysis for Faculty of Economics

Tato práce řeší problematiku konkurenceschopnosti Ekonomické fakulty VŠB-TUO. Cílem této diplomové práce je zjistit konkurenční pozici Ekonomické fakulty VŠB-TUO, a to na základě provedení analýzy konkurenceschopnosti ve srovnání s ostatními ekonomickými fakultami v České republice. V rámci analýzy bylo užito metod benchmarkingu a ABC analýzy. Na základě zjištěných výsledků byla poskytnuta doporučení pro zlepšení současného stavu Ekonomické fakulty VŠB-TUO.This diploma thesis addresses the issue of competitiveness of the Faculty of Economics VŠB-TUO. The aim of this diploma thesis is to determine the competitive position of the Faculty of Economics VŠB-TUO, based on the analysis of competitiveness in comparison with other faculties of economics in the Czech Republic. Benchmarking and ABC analysis methods were used in the analysis. Based on the results, recommendations were provided for improving the current state of the Faculty of Economics VŠB-TUO.116 - Katedra marketingu a obchoduvelmi dobř

Protokol o testování plastického detektoru v poli radionuklidu Cf-252

Získané výsledky ukazují na schopnost plastického scintilátoru oddělovat fotonovou a neutronovou složku záření. Spodní hranice diskriminace je pod 1 MeV a v porovnání se zkušenostmi se scintilátorem stilben lze předpokládat, že dekonvoluce energetického spektra bude možná v energetickém intervalu nad 2 MeV.Získané výsledky ukazují na schopnost plastického scintilátoru oddělovat fotonovou a neutronovou složku záření. Spodní hranice diskriminace je pod 1 MeV a v porovnání se zkušenostmi se scintilátorem stilben lze předpokládat, že dekonvoluce energetického spektra bude možná v energetickém intervalu nad 2 MeV.The results indicate the ability of the plastic scintillator separate neutron and photon radiation component. The lower boundary of discrimination is below 1 MeV and compared with experience with stilbene scintillator can be assumed that the energy spectrum deconvolution will be possible in the energy range above 2 MeV

Addressing climate change with behavioral science: a global intervention tournament in 63 countries

Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate mitigation outcomes: beliefs, policy support, information sharing intention, and an effortful tree-planting behavioral task. Across 59,440 participants from 63 countries, the interventions’ effectiveness was small, largely limited to nonclimate skeptics, and differed across outcomes: Beliefs were strengthened mostly by decreasing psychological distance (by 2.3%), policy support by writing a letter to a future-generation member (2.6%), information sharing by negative emotion induction (12.1%), and no intervention increased the more effortful behavior—several interventions even reduced tree planting. Last, the effects of each intervention differed depending on people’s initial climate beliefs. These findings suggest that the impact of behavioral climate interventions varies across audiences and target behaviors

Tool for apparatus spectrum deconvolution

This tool estimates particle flux in material based on apparatus spectra obtained using scintillation or proportional radiation detectors and their corresponding response functions. The calculation is based on the Expectation-Maximization algorithm.Nástroj odhaduje tok částic materiálem na základě přístrojových spekter získaných pomocí scintilačních či proporcionálních detektorů a jim odpovídajících funkcí odezvy. Pro výpočet je použit algoritmus Expectation-Maximization.This tool estimates particle flux in material based on apparatus spectra obtained using scintillation or proportional radiation detectors and their corresponding response functions. The calculation is based on the Expectation-Maximization algorithm

Accelerating corpus search using multiple cores

The Manatee corpus management system on which the Sketch Engine is built is efficient, but unable to harness the power of today’s multiprocessor machines. We describe a new, compatible implementation of Manatee which we develop in the Go language and report on the performance gains that we obtained

Isovists compactness and stairs as predictors of evacuation route choice

AbstractThe building design is a crucial factor that can be actively adjusted and optimized to prevent human and property threats in emergency scenarios. Previous research suggests that specific building layouts may significantly influence human behaviour during evacuation. However, detailed empirical data about human behaviour in various types of buildings with different layouts are still missing and only marginal recommendations from this field are reflected in actual construction practice. In this study, desktop VR technologies were employed to study human decision-making in problematic T-intersections in the context of an emergency evacuation. More specifically, we studied fundamental attributes of buildings such as the width and length of the corridors and the presence of stairs to explore how they influence the choice of the evacuation route. The space-syntax isovist method was used to describe spatial parameters of corridors, which makes the results applicable to all buildings. Behavioural data from 208 respondents were analysed using multilevel regression models. Our results support previous claims concerning the importance of specific spatial layouts of evacuation corridors because respondents systematically chose wider and shorter corridors with visible staircases as the preferred evacuation route. The present findings further promote the ongoing discussion on the design of marked evacuation routes and building design that takes human factors into consideration.</jats:p

Innovative use of data sources: a cross-sectional study of data linkage and artificial intelligence practices across European countries

The availability of data generated from different sources is increasing with the possibility to link these data sources with each other. However, linked administrative data can be complex to use and may require advanced expertise and skills in statistical analysis. The main objectives of this study were to describe the current use of data linkage at the individual level and artificial intelligence (AI) in routine public health activities, to identify the related estimated health indicators (i.e., outcome and intervention indicators) and health determinants of non-communicable diseases and the obstacles to linking different data sources. We performed a survey across European countries to explore the current practices applied by national institutes of public health, health information and statistics for innovative use of data sources (i.e., the use of data linkage and/or AI). The use of data linkage and AI at national institutes of public health, health information and statistics in Europe varies. The majority of European countries use data linkage in routine by applying a deterministic method or a combination of two types of linkages (i.e., deterministic & probabilistic) for public health surveillance and research purposes. The use of AI to estimate health indicators is not frequent at national institutes of public health, health information and statistics. Using linked data, 46 health outcome indicators, 34 health determinants and 23 health intervention indicators were estimated in routine. The complex data regulation laws, lack of human resources, skills and problems with data governance, were reported by European countries as obstacles to routine data linkage for public health surveillance and research. Our results highlight that the majority of European countries have integrated data linkage in their routine public health activities but only a few use AI. A sustainable national health information system and a robust data governance framework allowing to link different data sources are essential to support evidence-informed health policy development. Building analytical capacity and raising awareness of the added value of data linkage in national institutes is necessary for improving the use of linked data in order to improve the quality of public health surveillance and monitoring activities.This research has been carried out in the context of the project ‘801553 / InfAct’, which has received funding from the European Union’s Health Programme (2014–2020).Marie Delnord is funded by a Marie Sklodowska-Curie Action Individual Fellowship, GA No 795051.S