In this paper we want to show that each immediate basin of fixed points of Newton’s

function for a real polynomial is simply connected.

Keywords: Newton’s function, Immediate basin, Simply connected.

The title complex was isolated as red solid material from the reaction of Co(SCN)2 with 4(Salicylaldimine) antipyrine in ethanol. The molecular structure has been determined by elemental analysis, FT IR, UV-Vis and X-ray diffraction. The crystallographic data are: monoclinic

P21/n, a = 9.8335(3) A, b = 18.8593(6) A, c = 11.2921(4) A, = 90', =  = 90', V = 2041.46(12) ų and Z 2, R =0.045. The dicobalt (Il) complex is centrosymmetric dimer in which the Co(ll) ions are six coordinate being bonded to three coordinating donor sites from the corresponding tridentate Schiff base ligand and the fourth one is relatively bonded by phenolic oxygen, the fifth and sixth donor sites comes from isothiocyanate and methanol.

ABSTRACT

Punkt (German for period) is a sentence boundary detection system that divides an English text into a list of sentences using an unsupervised algorithm developed by Kiss and Strunk (2006) [6]. This algorithm is based-on the assumption that a large number of ambiguities in the determination of sentence boundaries can be eliminated once abbreviations have been identified.

    The Punkt system was adapted to support Arabic language. The modified Punkt is trained on Arabic Corpus to build a model for abbreviation words, collocations, and words that start sentences. An evaluation of the performance of the modified Punkt system has revealed that an accuracy rate close to 99% has been achieved for detecting Arabic sentence boundaries.

It is possible to generate an SQL schema from XML Schema manually; however automatically generating an SQL schema from XML Schema would generally be very beneficial. This paper presents XML Schema-driven generation architecture components with XSL Stylesheet. In this paper, an algorithm for this type of generation is presented. The inputs of the algorithm are XML Schema and XSL Stylesheet, and the output is an SQL schema. The proposed algorithm shows how this component can automatically be generated. An evaluation of the proposed algorithm is also presented by testing the algorithm with different examples.  

Differences in activation between spores from strains of Bacillus thuringiensis subsp. israelensis with and without the toxin-encoding plasmid pBtoxis are demonstrated. Following alkaline activation, the strain bearing pBtoxis shows a significantly greater germination rate. Expression of just three genes constituting a previously identified, putative ger operon from this plasmid is sufficient to produce the same phenotype and characterizes this operon as a genetic determinant of alkaline activation.

Nowadays, e-mail is widely becoming one of the fastest and most economical forms of communication .Thus, the e-mail is prone to be misused. One such misuse is the posting of unsolicited, unwanted e-mails known as spam or junk e-mails. This paper presents and discusses an implementation of an Anti-spam filtering system, which uses a Multi-Layer Perceptron (MLP) as a classifier and a Genetic Algorithm (GA) as a training algorithm. Standard genetic operators and advanced techniques of GA algorithm are used to train the MLP. The implemented filtering system has achieved an accuracy of about 94% to detect spam e-mails, and 89% to detect legitimate e-mails. 

 Abstract The Arabic language presents significant challenges to many natural language processing applications. The broken plu rals (BP) problem is one of these challenges especially for information retrieval applications. It is difficult to deal with Arabic broken plurals and reduce them to their associated singulars, because no obvious rules exist, and there are no standard stemming algorithms that can process them. This paper attempts to handle the problem of broken plural by de veloping a method to identify broken plurals in an unvowelised Arabic text and reducing them to their correct singular forms by incorporating the simple broken plural matching approach, with a machine translation system and an English stemmer as a new approach. A set of experiments has been conducted to evaluate the performance of the proposed method using a number of text samples extracted from a large Arabic corpus (AL-Hayat newspaper). The obtained re sults are analyzed and discussed.

 Abstract There are several stemming approaches that are applied to Arabic language, yet no a complete stemmer for this language is available. The existing stem-based stemmers for stemming Arabic text have a poor performance in terms of accuracy and error rates. In order to improve the accuracy rates of stemming, a hybrid method is proposed for stemming Arabic text to produce stems (not roots). The improvement of the accuracy of stemming will lead by necessity to the improvement of many applications very greatly, including: information retrieval, document classification, machine translation, text analysis and text compression. The proposed method integrates three different stemming techniques, including: morphological analysis, affix-removal and dictionaries.