Objectives To provide contemporary, national population-based estimates of complete tooth loss of older adults by English language proficiency. Methods We conducted a cross-sectional analysis of the 2017 Medical Expenditure Panel Survey among participants ≥50 years of age (n=10,452, weighted=111,895,290). Results The prevalence of complete tooth loss was higher among those with limited English proficiency (Spanish speaking: 13.7%; Other languages: 16.9%) than those proficient in English (Spanish speaking: 5.0%; Other languages: 6.0%). After adjusting for education, complete tooth loss was less common among participants for whom Spanish was their primary, with limited English proficiency relative to English only (adjusted odds ratio: 0.56; 95% confidence interval: 0.42-0.76). Among those without complete tooth loss, dental visit in the past year were less common among participants with primary languages other than English as compared to those who only speak English. Discussion Research is needed to examine the relationship of aging, oral health, and access to care.

The work is concerned with the band-limited signal extrapolation using truncated series of prolate spheroidal wave function. Our aim is to investigate the extent to which it is possible to extrapolate signal from its samples taken in a finite interval. It is often believed that this extrapolation method depends on computing definite integrals. We show an alternative approach by using the least squares method and we compare it with the methods of numerical integration. We also consider their performance in the presence of noise and the possibility of using these algorithms for real-time data processing. Finally all proposed algorithms are tested using real data from a microphone array, so that their performance can be compared.

Standardní postupy diagnózy dysfonie klinickým logopedem mají své nevýhody, především tu, že je tento proces velmi subjektivní. Nicméně v poslední době získala popularitu automatická objektivní analýza stavu mluvčího. Vědci úspěšně založili své metody na různých algoritmech strojového učení a ručně vytvořených příznacích. Tyto metody nejsou bohužel přímo škálovatelné na jiné poruchy hlasu, samotný proces tvorby příznaků je pracný a také náročný z hlediska financí a talentu. Na základě předchozích úspěchů může přístup založený na hlubokém učení pomoci překlenout některé problémy se škálovatelností a generalizací, nicméně překážkou je omezené množství trénovacích dat. Jedná se o společný jmenovatel téměř ve všech systémech pro automatizovanou analýzu medicínských dat. Hlavním cílem této práce je výzkum nových přístupů prediktivního modelování založeného na hlubokém učení využívající omezené sady zvukových dat, se zaměřením zejména na hodnocení patologických hlasů. Tato práce je první, která experimentuje s hlubokým učením v této oblasti, a to na dosud největší kombinované databázi dysfonických hlasů, která byla v rámci této práce vytvořena. Předkládá důkladný průzkum veřejně dostupných zdrojů dat a identifikuje jejich limitace. Popisuje návrh nových časově-frekvenčních reprezentací založených na Gaborově transformaci a představuje novou třídu chybových funkcí, které přinášejí reprezentace výstupů prospěšné pro učení. V numerických experimentech demonstruje zlepšení výkonu konvolučních neuronových sítí trénovaných na omezených zvukových datových sadách pomocí tzv. "augmented target loss function" a navržených časově-frekvenčních reprezentací "Gabor" a "Mel scattering".

The topic of this master‘s thesis is the axle Limited-slip Differential. The first part is devoted to the description of types of differentials open, locked or self-locking. The next part describes the procedure of creating a mathematical model for the simulation of vehicle movement based on input parameters and subsequent comparison of vehicle behavior with open and locked differential. The final part of the work based on data obtained from the model with a Limited-slip Differential is devoted to the design of a differential for a vehicle with one driven axle.

A vacant membership interest is not an emerging concept in Czech law; disposition of vacant membership interest was regulated already by Section 113(5) and 113(6) of the then applicable Commercial Code. The legislative rules, however, were criticised for being incomplete and hence difficult to be applied: regulated as transferable to the company, the vacant membership interest could be transferred by the company to another company member or third party; if the membership interest was not transferred, the company was required to reduce its registered capital or distribute the vacant membership interest among the remaining company members. The newly enacted amendments have impacted a number of related concepts, introduced a liberalised company law regime and weakened the relationship between company members and companies. The calls on the government from the professional public to introduce a more flexible company law regime, give way to contractual freedom and expand the circumstances in which the company members have a right to withdraw from the company have been heard. The concept of vacant membership interest, now constructed on the principle of company member's representation, was completely revised. The rules introduced by the re-enacted Business Corporations Act are quite complex and detailed;...

The portfolio selection problem has been widely understood and practised for millennia, but it was rst formalised by Markowitz (1952) with the proposition of a risk-reward trade-o model. Since then, portfolio selection models have continued to evolve. The general consensus is that three objectives, to maximise the uncertain Rate Of Return (ROR), to maximise liquidity and to minimise risk, should be considered. It was found that there are opportunities for improvement within the existing portfolio selection models. This can be attributed to three gaps within the existing models. Generally, existing portfolio selection models are generic, especially in how they incorporate risk, they generally do not incorporate Socially Responsible Investing (SRI), and generally they are considered to be unvalidated. This dissertation set out to address these gaps and compare the real-world performance of generic and individualised portfolio selection models. A new method of accounting for risk was developed that consolidates the portfolio's market risk with the investor's nancial risk tolerance. Two portfolio selection models that incorporate individualised risk and SRI objectives were developed. These two models were called the risk-adjusted and social models, respectively. These individualised models were compared to an existing generic Markowitz model. These models were formulated using stochastic goal programming. A sample of 208 companies JSE Limited companies was selected and two independent datasets were extracted for these companies, a training (2010/01/01 { 2016/12/31) and testing (2017/01/01 { 2019/12/31) dataset. The models solved were in LINGO using the training dataset and tested on an unknown future by using the testing dataset. It was found that in the training period, the individualised risk-adjusted model outperformed the generic Markowitz model and the individualised social model. Furthermore, it was found that it would not be bene cial for an investor to be Socially Responsible (SR). Nevertheless, investors invest to achieve their ROR and SRI goals in the future, not in the present. Thus, it was necessary to evaluate how the portfolios selected by all three models would have performed in an unknown future. In the testing period, both the generic Markowitz model and the risk-adjusted models had dismal performance and were signi cantly outperformed by the South African market and unit trusts. Thus, these models are not useful or suitable for their intended purpose. On the contrary, the social model portfolios achieved high ROR values, were SR, and outperformed the market and the unit trusts. Thus, this model was useful and suitable for its intended purpose. The individualised social model signi cantly outperformed the other two models. Thus, it was concluded that an individualised approach that incorporates SRI outperforms a generic portfolio selection approach. Given its unparalleled performance and novel model formulation, the social model makes a contribution to the eld of portfolio selection. This dissertation also highlighted the importance of testing portfolio selection models on an unknown future and demonstrated the potentially horri c consequences of neglecting this analysis. / Dissertation (MEng (Industrial Engineering))--University of Pretoria 2021. / Industrial and Systems Engineering / MEng (Industrial Engineering) / Unrestricted

In few picked sources where ammonia occurs in an under-limited amount ,according to valid legislation, there will its outflow be modeled in various atmospheric conditions and its toxicity will be compared with other mostly used toxic substances. The danger for people living in the surroundings of under-limited sources will be evaluated from the results and the way for better safeness will be suggested.

In this diploma thesis are discussed the consequences caused by entrepreneurship transformation, especially from the tax and law aspect, related with the intended transformation from the associations of natural persons to a limited liability company. It contains process of implemetation by changing the enterpreneurship form. Process by fundation a limited liability company and the opportunities how transfer property by enterpreneurship transformation.

Master´s thesis is analyzing background of successful business start in services with accommodation and catering. The purpose of this master´s thesis is arrangement of business plan in the area of "hotel work" with all appurtenances.

Topic of this thesis is to create a practicable business plan for foundation e-shop with hair. Specifically, the hair used for extensions. Company will be founded as limited liability company. The theoretical part deals with setting up company and creating business plan.