algebraic frames are generalizations of fourier transforms on locally compact abelian groups in the sense that the family of vectors forming the frame are replaced by a family of unbounded linear functionals. the paper studies the indexing measure space of the algebraic frames; as the investigation narrows down to the class of lower semiframes, more relations are revealed between the discret...

introduction: the major target of this paper shows effect of selected decision variables in the steam system foroptimization of thermal combined cycle power plant.material and method: exergoeconomic, and other similar terms used to imply the combined thermodynamicand economic analysis of energy systems, which helps to increase the efficiency of a plant without jeopardizingits economic viability...

Algae biodiesel is an opportunity space that has gained renewed interest for venture investment. As with any new opportunity space, determining where the greatest value capturing potential resides has important implications for directing investment and research. This paper presents a value chain analysis of algae biodiesel and maps current industry players against similar segments in the biofue...

The retrospective fault analysis of complex technical devices based on documents emerging in the advanced steps of the product life cycle can reveal error sources and problems, which have not been discovered by simulations or other test methods in the early stages of the product life cycle. This paper presents a novel approach to support the failure analysis through (i) a semi-automatic analysi...

Fast multigrid solvers are considered for the linear systems arising from the bilinear finite element discretizations of second order elliptic equations with anisotropic diffusion. Optimal convergence of Vcycle multigrid method in the semi-coarsening case and nearly optimal convergence of V-cycle multigrid method with line smoothing in the uniformly coarsening case are established using the XZ ...

Automated short answer scoring is increasingly used to give students timely feedback about their learning progress. Building scoring models comes with high costs, as stateof-the-art methods using supervised learning require large amounts of hand-annotated data. We analyze the potential of recently proposed methods for semi-supervised learning based on clustering. We find that all examined metho...

We consider the following problem: Given a set of data and one or more examples of clusters, find a clustering of the whole data set that is consistent with the given clusters. This is essentially a semi-supervised clustering problem, but it differs from previously studied semi-supervised clustering settings in significant ways. Earlier work has shown that none of the existing methods for semi-...

We propose a semi-supervised framework to handle diverse data formats or data with mixedtype attributes. Our preliminary results in clustering data with mixed numerical and categorical attributes show that the proposed semi-supervised framework gives better clustering results in the categorical domain. Thus the seeds obtained from clustering the numerical domain give an additional knowledge to ...

background: polycystic ovary syndrome (pcos) is the most common endocrinopathy affecting up to one in every five women of reproductive age. the majority of researches on pcos focus on its biomedical aspects, often overlooking and neglecting women’s own perceptions and experiences. objectives: this study aimed to explore women’s perception and experiences that influence their personal gender rol...