The experiment was conducted in kalar horticulture station / sulaimania province in growth season in 2006-2007 , by using pots , each pot capacity is 4 kg soil , soil was brought from one of the region fields to study the influence of increasing concentration of GA3(0 , 25, 50, 75 , 100) ppm and two levels of NPK fertilizer (18-18-18) that (0.23 and 0.64) g/4kg soil in perpot (that equals 160 and 320 kg fertilizer /ha.) on some concentration of nutrition elements in grains , the experiment was applied through completely randomized design (C.R.D.) by using three replicates .         The results showed that the increase in values of the studied characteristics concentration of  (Nit

  The experiment was carried out in the wooden canopy in the green garden of Biology Department , College of Education for Pure Science – Ibn AL –Haitham, Baghdad University, during the growing season of 2012- 2013 , to study the influence of foliar application of three concentrations of zinc  (0,50,75)mg. L ¯¹  with four concentrations of boron (0, 25, 50, 75) mg. L¯¹ and their interactions on some growth parameters of vegetative part of chickpea plant. The experiment was designed according to Randomized Completely Block  Design(RCBD)with three replications, results indicated that:- 1- Foliar application of zinc  and boron caused a significant increase in the averaye of dry weight for t

In this paper, wireless network is planned; the network is predicated on the IEEE 802.16e standardization by WIMAX. The targets of this paper are coverage maximizing, service and low operational fees. WIMAX is planning through three approaches. In approach one; the WIMAX network coverage is major for extension of cell coverage, the best sites (with Band Width (BW) of 5MHz, 20MHZ per sector and four sectors per each cell). In approach two, Interference analysis in CNIR mode. In approach three of the planning, Quality of Services (QoS) is tested and evaluated. ATDI ICS software (Interference Cancellation System) using to perform styling. it shows results in planning area covered 90.49% of the Baghdad City and used 1000 mob

The density-based spatial clustering for applications with noise (DBSCAN) is one of the most popular applications of clustering in data mining, and it is used to identify useful patterns and interesting distributions in the underlying data. Aggregation methods for classifying nonlinear aggregated data. In particular, DNA methylations, gene expression. That show the differentially skewed by distance sites and grouped nonlinearly by cancer daisies and the change Situations for gene excretion on it. Under these conditions, DBSCAN is expected to have a desirable clustering feature i that can be used to show the results of the changes. This research reviews the DBSCAN and compares its performance with other algorithms, such as the tradit

This paper is focusing on reducing the time for text processing operations by taking the advantage of enumerating each string using the multi hashing methodology. Text analysis is an important subject for any system that deals with strings (sequences of characters from an alphabet) and text processing (e.g., word-processor, text editor and other text manipulation systems). Many problems have been arisen when dealing with string operations which consist of an unfixed number of characters (e.g., the execution time); this due to the overhead embedded-operations (like, symbols matching and conversion operations). The execution time largely depends on the string characteristics; especially its length (i.e., the number of characters consisting

The monthly time series of the Total Suspended Solids (TSS) concentrations in Euphrates River at Nasria was analyzed as a time series. The data used for the analysis was the monthly series during (1977-2000).

The series was tested for nonhomogenity and found to be nonhomogeneous. A significant positive jump was observed after 1988. This nonhomogenity was removed using a method suggested by Yevichevich (7). The homogeneous series was then normalized using Box and Cox (2) transformation. The periodic component of the series was fitted using harmonic analyses, and removed from the series to obtain the dependent stochastic component. This component was then modeled using first order autoregressive model (Markovian chain). The above a