Abstract Predicting community‐level trait indices, such as community‐weighted mean or functional dispersion, in space time, is crucial, they are markers of ecosystem functions, proxies for services, and now integral part conservation planning. On one hand, since members a species share similar traits, natural way to model distributions function the environment first (i.e. with distribution mode...

background : type 1 diabetes mellitus (t1dm) is an autoimmune disease characterized by selective destruction of pancreatic beta cells.   methods: the study included 80 children, 20 of them have t1dm, 40 children were selected from first degree relatives to the same child and 20 healthy children serve as control. body mass index (bmi) was calculated, random blood glucose and glycosylated hemoglo...

abstract: this study was aimed to investigate relationship between child rearing styles and young’s early maladaptive schemas(emss).the child rearing questionnaire and young’s schema questionnaire ( short form) was administered to a sample of 150 students in college. multiple regression analysis revealed that child rearing styles predicted some of emss. results indicated that authoritative styl...

using current employee performance data to predict the future behavior of the applicants is an interesting area which can broaden new horizons of knowledge lay in the organization. because of inherent ambiguity and uncertainty, cognitive limitations of the human mind make unknown behaviors of very complex systems difficult to predict. as a consequence, it is necessary to model the imprecise mod...

malting is a complex biotechnological process that includes steeping; germination and drying of cereal grains under controlled conditions of temperature and humidity. in this research malting process parameters were predict by modular neural network with different activation function included, logsig-logsig, tanh-tanh, logsigtanh, logsig-identity and tanh-identity. steeping time (x1) and germin...

The major challenge in designing a discriminative learning algorithm for predicting structured data is to address the computational issues arising from the exponential size of the output space. Existing algorithms make different assumptions to ensure efficient, polynomial time estimation of model parameters. For several combinatorial structures, including cycles, partially ordered sets, permuta...

Linear prediction plays a fundamental role in all aspects of speech. Its use seems natural and obvious in this context since for a speech signal the value of its current sample can be well modeled as a linear combination of its past values. In this chapter, we attempt to present the most important ideas on linear prediction. We derive the principal results, widely recognized by speech experts, ...