Yarn tenacity is one of the most important properties in yarn production. This paper addresses modeling of yarn tenacity as well as optimally determining the amounts of the effective inputs to produce yarn with desired tenacity. The artificial neural network is used as a suitable structure for tenacity modeling of cotton yarn with 30 Ne. As the first step for modeling, the empirical data is col...

specific features of the structure of the ground litter invertebrate community in forest belt ecosystems in the ukrainian steppe zone have been considered. for 14 years invertebrate fauna of the litter of 176 forest belt sites with different composition has been studied with the aid of soil traps. the main characteristics of litter invertebrate communities (total population, a number of species...

This study aimed to investigate the relative effectiveness of consciousness-raising tasks and structure-based production tasks in comparison with the traditional teaching in learning comparative and superlative forms, following a task-based approach to teaching English grammar. To this end, from among 82 female elementary-level high school students having taken a Solutions Placement Test (2010)...

This study aimed to investigate the relative effectiveness of consciousness-raising tasks and structure-based production tasks in comparison with the traditional teaching in learning comparative and superlative forms, following a task-based approach to teaching English grammar. To this end, from among 82 female elementary-level high school students having taken a Solutions Placement Test (2010)...

In this paper an efficient three- stage algorithm is developed for software production cost and time estimation. First stage includes a hybrid model composed of COCOMO and Function Points methods to increase estimation accuracy. Second stage encompasses paired comparisons matrix of analytical hierarchy process to determine amount of any resources consumed in each step of software production by ...