Article history: Received 24 August 2012 Received in revised form 7 September 2013 Accepted 9 September 2013 Available online 16 September 2013 We evaluate the directional accuracy of Institute for Supply Management (ISM) indices in predicting the direction of the US economydirection; to do so, wemake use of amethod developed by Pesaran and Timmermann (2009). By illustrating an application of t...

We pursue an analysis of the relation between qualitative syllable parses and their quantitative phonetic consequences. To do this, we express the statistics of a symbolic organization corresponding to a syllable parse in terms of continuous phonetic parameters which quantify the timing of the consonants and vowels that make up syllables: consonantal plateau durations, vowel durations, and thei...

Tissue engineering is an interdisciplinary effort aimed at the repair and regeneration of biological tissues through the application and control of cells, porous scaffolds and growth factors. The regeneration of specific tissues guided by tissue analogous substrates is dependent on diverse scaffold architectural indices that can be derived quantitatively from the microCT and microMR images of t...

This paper utilizes unascertained sets to analyze general contracting risk of construction projects. Firstly, principal component method was used to process a number of listed general contracting risk indices. The representative indices from principal component analysis process substitute for the primary indexes. Thus subjective random problem in choosing indices can be avoided. Then, risk fact...

We describe a unification of old and recent ideas for formulating graphical models to explain time series data, including Granger causality, semi-automated search procedures for graphical causal models, modeling of contemporaneous influences in times series, and heuristic generalized additive model corrections to linear models. We illustrate the procedures by finding a structure of exogenous va...

Machine Learning techniques have been extensively used in Power Systems Analysis during the last years. A Machine Learning Toolkit, i.e. a versatile software environment incorporating multiple interoperable tools facilitating experimentation, can be a valuable asset during power systems analysis studies. In this paper our experience with building such a Toolkit, incorporating a repository of da...

Asymmetric 1,3-dipolar cycloadditions between 1,2-diaza-1,3-dienes and chiral non-racemic nitrones to give 3-substituted-5-diazenyl isoxazolidines were studied both experimentally and theoretically. Whereas cyclic nitrones provide complete selectivity for the cycloaddition reaction (only one isomer is obtained), acyclic nitrones derived from D-glyceraldehyde and D-galactose lead to 1 : 1 mixtur...

The paper presents a simulation-optimization approach using genetic algorithm to the supplier selection problem. The problem consists in selecting a portfolio of suppliers from a set of pre-selected candidates. The supplier selection is a multi-criteria problem that includes both qualitative and quantitative criteria. In order to select the best suppliers it is crucial to make a trade off betwe...

the zagreb indices are the oldest graph invariants used in mathematical chemistry to predictthe chemical phenomena. in this paper we define the multiple versions of zagreb indicesbased on degrees of vertices in a given graph and then we compute the first and secondextremal graphs for them.

Evaluation of scientists working in a specific area of science is necessary, as they may strive for same limited resources, grants and academic promotions. One of the most common and accepted methods of assessing the performance and impact of a scientist is calculating the number of citations for their publications. However, such method suffer from certain shortcomings. It has become more and m...