the aim of this study was to compare gross motor skills development in two subtests (locomotors and object control) in preschool children in the deprived and rich environments. participants in this study were 39 children (mean age: 5 yr). 19 children were selected from deprived environments without extensive motor experiences, and 20 children from a preschool with extensive motor experiences. u...

Analysis is carried out through specification of a densityFunction class. The primary value in a densityFunction object is the @density slot, a user-defined function that should take variables x, observables and parameters. x corresponds to a row of data in a countData object. observables is a list object of observed values that may influence the model. By default, the @libsizes and @seglens va...

this study is a contribution to assess the high resolution digital aerial imagery for semi-automatic analysis of tree species identification. to maximize the benefit of such data, the object-based classification was conducted in a mixed forest plantation. two subsets of an ultracam d image were geometrically corrected using aero-triangulation method. some appropriate transformations were perfor...

The object oriented paradigm has become widely used to develop large information systems. This paper presents a method for estimating the size and eeort of developing object oriented software. The approach is analogous to function points, and it is based on counting rules that pick up the elements in a static object model and combine them in order to produce a composite measure. Rules are propo...

Most of the contour detection methods suffers from some drawbacks such as noise, occlusion of objects, shifting, scaling and rotation of objects in image which they suppress the recognition accuracy. To solve the problem, this paper utilizes Zernike Moment (ZM) and Pseudo Zernike Moment (PZM) to extract object contour features in all situations such as rotation, scaling and shifting of object i...

Abstract   In this paper, we propose a new method for kernel based object tracking which tracks the complete non rigid object. Definition the union image blob and mapping it to a new representation which we named as potential pixels matrix are the main part of tracking algorithm. The union image blob is constructed by expanding the previous object region based on the histogram feature. The pote...

rainfall-runoff modeling is most important component in the water resource management of river basins. the successful application of a conceptual rainfall-runoff model depends on how well it is calibrated. the degree of difficulty in solving the global optimization method is generally dependent on the dimensionality of the model and certain of the characteristics of object function. the purpose...

potassium bromide (kbr), an old antiepileptic agent, is illegally used in pharmaceutical or food industries to improve the product appearance. kbr has been proven to influence several pathways which are important in memory formation. therefore, the present study aimed to evaluate the effect of kbr on spatial working memory using object recognition task (ort). rats received a single dose of kbr ...