This diploma thesis deals with the description of selected statistical process control tools, applied to Proxima frame cab tractor made by Zetor company. There is also a statistical evaluation of measured data and determination of significant correlations.

e van der Waals (vdW) interactions, or dispersion forces, are crucial in many chem- ical, physical and biological processes and received much attention from developers of density functional theory (DFT) methods. e most popular non-empirical DFT method for treating vdW interactions is the vdW density functional by Dion et al. (vdW-DF). Despite its success, vdW-DF is not accurate enough for many chemical applications. Here, we investigate two possible ways how to improve its accuracy. First, we reoptimize the only weakly speci ed parameter of vdW-DF for several semi-local functionals. On the S benchmark database set, we nd that revPBE is the best performer, decreasing the error from . % to . %. Second, a system-speci c but very accurate (∼ . kcal/mol) DFT correction scheme is proposed for precise calcula- tions of adsorbent−adsorbate interactions by combining vdW-DF and the empirical DFT/CC correction scheme. e new approach is applied to small molecules (CH , CO , H , H O, N ) interacting with a quartz surface and a lamella of UTL zeolite. e very high accuracy of the new scheme and its relatively easy use and numerical stability compared to the earlier DFT/CC scheme o er a straightforward solution for obtaining reliable predictions of adsorption energies.

In recent years many works employed the topic of the estimation of the asset value correlation from the portfolio of debtors and their properties. The results vary depending on the methods used or the data sets, on which the model was applied. The Master Thesis describes the methods of estimation of the asset value correlation from 5-year default performance of small and medium-sized enterprise (SME) debtors of Komercni Banka. Each method is firstly described in detail and then applied. Estimations of the asset value correlation are performed in rating and industrial homogeneous group. The conclusion contains a comparison of resulting capital with a former Basel correlation and the capital when our estimations of the asset correlation are used as a parameters. Powered by TCPDF (www.tcpdf.org)

Since the development of the correlation consistent composite approach (ccCA) in 2006, ccCA has been shown to be applicable across the periodic table, producing, on average, energetic properties (e.g., ionization potentials, electron affinities, enthalpies of formation, bond dissociation energies) within 1 kcal/mol for main group compounds. This dissertation utilizes ccCA in the investigation of several chemical systems including nitrogen-containing compounds, sulfur-containing compounds, and carbon dioxide complexes. The prediction and calculation of energetic properties (e.g., enthalpies of formation and interaction energies) of the chemical systems investigated within this dissertation has led to suggestions of novel insensitive highly energetic nitrogen-containing compounds, defined reaction mechanisms for sulfur compounds allowing for increased accuracy compared to experimental enthalpies of formation, and a quantitative structure activity relationship for altering the affinity of CO2 with substituted amine compounds. Additionally, a study is presented on the convergence of correlation energy and optimal domain criteria for local Møller–Plesset theory (LMP2).

This article reports the results and managerial implications of a Turkish study which investigated relationships between service quality, background characteristics and, customer satisfaction and selected behavioral outcomes.

Gene expression responds to the environment and can also evolve rapidly in response to altered selection regimes. Little is known, however, about the extent to which evolutionary adaptation to a particular type of stress involves changes in the within-generation ('plastic') responses of gene expression to the stress. We used microarrays to quantify gene expression plasticity in response to ethanol in laboratory populations of Drosophila melanogaster differing in their history of ethanol exposure. Two populations ('R' populations) were maintained on regular medium, two ('E') were maintained on medium supplemented with ethanol, and two ('M') were maintained in a mixed regime in which half of the population was reared on one medium type, and half on the other, each generation. After more than 300 generations, embryos from each population were collected and exposed to either ethanol or water as a control, and RNA was extracted from the larvae shortly after hatching. Nearly 2000 transcripts showed significant within-generation responses to ethanol exposure. Evolutionary history also affected gene expression: the E and M populations were largely indistinguishable in expression, but differed significantly in expression from the R populations for over 100 transcripts, the majority of which did not show plastic responses. Notably, in no case was the interaction between selection regime and ethanol exposure significant after controlling for multiple comparisons, indicating that adaptation to ethanol in the E and M populations did not involve substantial changes in gene expression plasticity. The results give evidence that expression plasticity evolves considerably more slowly than mean expression.

The National Flood Insurance Program (NFIP) provides federally-backed insurance for properties in Special Flood Hazard Areas, yet many property owners do not enroll in the program. I compared flood losses and flood insurance enrollment for three Tennessee communities: Chattanooga, Elizabethton and Pigeon Forge, to investigate the relationship between flooding and NFIP enrollment. Normalized flood losses and insurance purchases were cross-correlated using lags of zero through nine years to investigate the relationship between flood losses in one year and NFIP enrollment in subsequent years. The correlation between flood losses and NFIP enrollment is significant (r = 0.39 and 0.42 respectively, p<0.05) in the year in which flood losses occurred for Chattanooga and Elizabethton. In Pigeon Forge, flood losses correlate to NFIP enrollment in the following year (r=0.43, p=0.02).

Previous research has shown that mathematical self-efficacy is positively correlated with mathematical performance level. However, in elementary classroom settings, teachers noticed that students with high mathematical self-efficacy had low mathematical performance level. On the other end of the spectrum, there are students who have low mathematical self-efficacy yet excel in mathematics. Discovering what factors are common among these two types of students can aid teachers in helping these students improve their self-efficacy and mathematics performance. This explanatory mixed-methods design was conducted in a K-6 elementary school with the research participants consisting of fourth-, fifth-, and sixth-grade students. The first of two research phases included assessing students’ mathematical performance level and mathematical self-efficacy. Utilizing the criteria of high or low performance in correlation to high or low self-efficacy, the students were placed into one of four categories; high performance/high self-efficacy (High P/High SE), low performance/low self-efficacy (Low P/Low SE), high performance/low self-efficacy (High P/Low SE), and low performance/high self-efficacy (Low P/High SE). Phase II of the research included interviewing the top two students from the High P/High SE group and the bottom two from the Low P/Low SE group as well as all of the students in the High P/Low SE and the Low P/High SE groups. After the interviews were analyzed, the researcher identified the factors that are common to the High P/Low SE and Low P/High SE groups that were not found in the High P/High SE or Low P/Low SE groups. Some examples of these factors for students with High P/Low SE included feelings of jealousy, not feeling smart even when the math is easy, and not feeling encouraged by teachers and parents. Examples of these factors for students with Low P/High SE included preferring completing assignments in a group and giving up when the mathematics gets difficult. The potential implications of this research may be used in elementary classrooms to help teachers identify outlier students as well as help students better align their self-efficacy with their achievement level. The intended audience of this research was elementary mathematics teachers.

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The uncountable number of tools for the creation of synthetic terrains poses as a challenge for simulation interoperability. The permutations of tools, elevation maps, and software settings leads to combinations of poorly correlated virtual terrains. An important issue in distributed simulations is the lack of line-of-sight correlation. For example, in military networked simulations, consistent intervisibility between simulated entities is crucial for a fair-fight, especially when simulations include direct-fire weapons. The literature review presented in the Chapter Two discusses a multitude of interoperability issues caused by discrepant terrain representations and rendering engines noncompliant to any standard image generation process. Furthermore, the literature review discusses past research that strived for measuring (or mitigating) the correlation issues between terrain databases. Based on previous research, this thesis proposes a methodology for analysis of line-of-sight correlation between a pair of terrain databases. All the mathematical theory involved in the methodology is discussed in the Chapter Three. In addition, this thesis proposes a new method for measuring the roughness of a visual terrain database. This method takes into account the 3D dispersion of the vectors normal to the polygons in the terrain's mesh. Because the vectors normal to the polygons are conveniently stored in most visual databases, the roughness calculation suggested here is fast and does not require sampling the terrain's elevation. In order to demonstrate the proposed method, twin terrain databases and a tool were created as part of this thesis. The goal of this tool is to extract data from the terrain databases for statistical analysis. The tool is open source and its source code is provided with this thesis. The Chapter Four includes an example of statistical analysis using an open source statistic software. The line-of-sight correlation analysis discussed here includes the terrain's geometry only (terrain's culture is not addressed). Human factors were not taken into consideration.