Based on the critical plane approach, a simple and efficient multiaxial fatigue damage parameter with no additional material constants is proposed for life prediction under uniaxial/multiaxial proportional and/or non-proportional loadings for titanium alloy TC4 and nickel-based superalloy GH4169. Moreover, two modified Ince-Glinka fatigue damage parameters are put forward and evaluated under di...

Purpose: this study wants to find any relationship between the numbers of purchase and the income the customer brings to the company. The attempt is to find those customers who buy more than one life insurance policy and represent the signs of good payments at the same time by the help of data mining tools. Design/ methodology/ approach: the approach of this research is to use data mining tools...

background: borderline personality disorder (bpd) is a chronic condition that warrants further empirical investigation. the aim of this research was investigated prediction of bpd symptomatology relay on recent life experience. method and materials: data for the current study was collected from students of shiraz university. sample consisted of 120 undergraduate students. the ages of the sample...

Infant formula has a fatty acid composition that meets the needs of the neonates for unsaturated fatty acids.These fatty acids are of major importance during this period of life in which the brain and retina are developing, and will therefore have an influence upon visual acuity and learning abilities. Oxygen reacts readily with unsaturated fatty acids, so that every time these compounds are ha...

Remaining useful life (RUL) prediction is one of key technologies to realize prognostics and health management that is being widely applied in many industrial systems to ensure high system availability over their life cycles. The present work proposes a data-driven method of RUL prediction based on multiple health state assessment for rolling element bearings. Instead of finding a unique RUL pr...

In this work, we focus on semantic parsing of natural language conversations. Most existing methods for semantic parsing are based on understanding the semantics of a single sentence at a time. However, understanding conversations also requires an understanding of conversational context and discourse structure across sentences. We formulate semantic parsing of conversations as a structured pred...