Evaluation: Measurements of Differences between Semantic Spaces

The existing method to measure differences among semantic spaces is costly. The current study evaluates a low-cost method. Specifically, the current study uses three measurements of induced semantic structures (ISS) to measure the differences between vector-based semantic spaces. An ISS of a target word is that word\u27s ordered nearest neighbors. Our hypothesis, which was confirmed, is that the three measurements have the ability to measure the differences between spaces. In addition, the number of nearest neighbors used by measurements has an effect on the ability. Evaluation was conducted on five Touchstone Applied Science Associates (TASA) spaces. The measured differences between spaces were compared to the objective similar pattern of TASA spaces, which follow a well-defined hierarchy. The comparison indicateds that three measurements can capture the objective TASA pattern and that performance measures were better than a measurement which does not use ISS. It was concluded that the new method of measuring space differences in an apt complement to the existing method

Age-adjusted nonparametric detection of differential DNA methylation with case–control designs

Background: DNA methylation profiles differ among disease types and, therefore, can be used in disease diagnosis. In addition, large-scale whole genome DNA methylation data offer tremendous potential in understanding the role of DNA methylation in normal development and function. However, due to the unique feature of the methylation data, powerful and robust statistical methods are very limited in this area. Results: In this paper, we proposed and examined a new statistical method to detect differentially methylated loci for case control designs that is fully nonparametric and does not depend on any assumption for the underlying distribution of the data. Moreover, the proposed method adjusts for the age effect that has been shown to be highly correlated with DNA methylation profiles. Using simulation studies and a real data application, we have demonstrated the advantages of our method over existing commonly used methods. Conclusions: Compared to existing methods, our method improved the detection power for differentially methylated loci for case control designs and controlled the type I error well. Its applications are not limited to methylation data; it can be extended to many other case–control studies

Methodology of teaching choreographic disciplines

Мета курсу – надання студентам магістратури цілісної і логічно-послідовної системи знань про дидактику підготовки кадрів вищої кваліфікації, розкриття концепції, основи теорії, методики і методології викладання хореографічних дисциплін у системі вищої школи.Цель курса - предоставление студентам магистратуры целостной и логически-последовательной системы знаний о дидактике подготовки кадров высшей квалификации, раскрытие концепции, основы теории, методики и методологии преподавания хореографических дисциплин в системе высшей школы.The purpose of the course is to provide undergraduate students with a coherent and logically-consistent system of knowledge about the didactics of training highly skilled personnel, the disclosure of the concept, the basis of the theory, methodology and methodology of teaching choreographic disciplines in the system of higher education

Weighted composite likelihood for linear mixed models in complex samples

Fitting mixed models to complex survey data is a challenging problem. Most methods in the literature, including the most widely used one, require a close relationship between the model structure and the survey design. In this paper we present methods for fitting arbitrary mixed models to data from arbitrary survey designs. We support this with an implementation that allows for multilevel linear models and multistage designs without any assumptions about nesting of model and design, and that also allows for correlation structures such as those resulting from genetic relatedness. The estimation and inference approach uses weighted pairwise (composite) likelihood

Properties of some statistics for AR-ARCH model with application to technical analysis

AbstractIn this paper, we investigate some popular technical analysis indexes for AR-ARCH model as real stock market. Under the given conditions, we show that the corresponding statistics are asymptotically stationary and the law of large numbers hold for frequencies of the stock prices falling out normal scope of these technical analysis indexes under AR-ARCH, and give the rate of convergence in the case of nonstationary initial values, which give a mathematical rationale for these methods of technical analysis in supervising the security trends

Linear mixed models for complex survey data: implementing and evaluating pairwise likelihood

As complex-survey data becomes more widely used in health and social-science research, there is increasing interest in fitting a wider range of regression models. We describe an implementation of two-level linear mixed models in R using the pairwise composite likelihood approach of Rao and co-workers. We discuss the computational efficiency of pairwise composite likelihood and compare the estimator to the existing stagewise pseudolikelihood estimator in simulations and in data from the PISA educational survey

Automatic Help System with Voice Input for Passengers of Drop Taxi

With the changes of the times and the advancement of science, there are more and more cars around us. Cars bring great convenience to people\u27s lives, such as drop taxis can be on call, cheaper and convenient. However, in recent years, there have been many incidents of female passengers being killed by drop taxi drivers, which has resulted in many female compatriots not being safely out of the country. This motivated us to develop artificial intelligence systems using voice input to identify crime tendency of taxi drivers. The system we developed uses the keyword input technology of voice input. Specifically, we first build up the keyword library of criminal tendencies based on similar cases reported in news. Then we present the details of how our system recognizes the crime tendency of a driver through what he talked with a female passenger. Finally, we explain how the system automatically takes the corresponding warning or send out help signal to police officers after it identifies a driver has a criminal tendency

Density-dependent NN-interaction from subleading chiral 3N-forces: short-range terms and relativistic corrections

We derive from the subleading contributions to the chiral three-nucleon force (short-range terms and relativistic corrections, published in Phys. Rev. C84, 054001 (2011)) a density-dependent two-nucleon interaction $V_\text{med}$ in isospin-symmetric nuclear matter. The momentum and $k_f$-dependent potentials associated with the isospin operators ($1$ and $\vec\tau_1\!\cdot\!\vec\tau_2$) and five independent spin-structures are expressed in terms of loop functions, which are either given in closed analytical form or require at most one numerical integration. Our results for $V_\text{med}$ are most helpful to implement subleading chiral 3N-forces into nuclear many-body calculations.Comment: 16 pages, 5 figure