There are two factoring extremes: "Either one gets a large number of reuses with minuscule payoff (small general components) or small number of highly profitable reuses within an overly narrow domain (large specific components)." [Biggerstaff94] An optimal factoring maximizes both payoffs by encapsulating orthogonal features in components. In this way it is possible to build large components (w...

BACKGROUND For students attending university courses, experiencing test anxiety (TA) dramatically impairs cognitive performance and success at exams. Whereas TA is a specific case of social phobia, emotional intelligence (EI) is an umbrella term covering interpersonal and intrapersonal skills, along with positive stress management, adaptability, and mood. In the present study, we tested the hyp...

The Hierarchical Predictive Model (HPM) is a semiparametric mixed model where the fixed effects are fit with a user-specified non-parametric component. This approach extends current spline-based semiparametric mixed model formulations, allowing for more flexible nonparametric estimation. Greater adaptability simplifies model specification making it easier to analyze data sets with large numbers...

Wild barley contains a wide genetic diversity and therefore is adaptable to all kinds of harsh environments. The aim of this research was to determine the extent of drought stress adaptation within Hordeum spontaneum L. genotypes from different climates of Iran. From the primary population of 193 genotypes, a core set consisting of 18 genotypes, were selected based on the highest squared Euclid...

This paper proposes a new strategy at the system level to evaluate and mitigate power system cascading outages adaptability considering protection system hidden failure. An explicit probability model of protection system hidden failures is established to demonstrate its effects on power system adaptability. The event tree is used to analyse the cascading outages sequences. Some adaptability ind...

Comparable corpora are important basic resources in cross-language information processing. However, the existing methods of building comparable corpora, which use intertranslate words and relative features, cannot evaluate the topical relation between document pairs. This paper adopts the bilingual LDA model to predict the topical structures of the documents and proposes three algorithms of doc...

—The so-called constrained least mean-square algorithm is one of the most commonly used linear-equality-constrained adaptive filtering algorithms. Its main advantages are adaptability and relative simplicity. In order to gain analytical insights into the performance of this algorithm, we examine its mean-square performance and derive theoretical expressions for its transient and steady-state me...

—The so-called constrained least mean-square algorithm is one of the most commonly used linear-equality-constrained adaptive filtering algorithms. Its main advantages are adaptability and relative simplicity. In order to gain theoretical insights into the performance of this algorithm, we examine its mean-square convergence and derive an expression for its steady-state mean-square deviation. Ou...

The Local Cosine Decomposition of Coifman and Wickerhauser 1] is modiied by incorporating two degrees of freedom that increase the adaptability of the best basis. These are relative shifts between resolution levels and adaptive polarity foldings. The resultant expansion is shift-invariant, and yields adaptive time-frequency distributions which are characterized by high resolution, high concentr...