Bidentate Schiff base ligand 3-(3,4-Dihydroxy-phenyl)-2-[(4-dimethylamino-benzylidene)-amino]-2-methyl-propionic acid was prepared and characterized by spectroscopic techniques studies and elemental analysis. The Cd(II), Ni(II), Cu(II), Co(II), Cr(III),and Fe(III) of mixed-ligand complexes were structural explicate through moler conductance , [FT-IR, UV-Vis & AAS], chloride contents, , and magnetic susceptibility measurements. Octahedral geometries have been suggested for all complexes. The Schiff base and its  complexes were  tested against various bacterial species, two of {gram(G+) and gram(G-)} were shown weak to good activity against all bacteria.

  This research presents the results of the tests of the physical, chemical and biological treatments performed on the industrial effluent of Al-Rashid Factory for vegetable oils during January to July, 2010.      Some environmental parameters such as temperature, electrical conductivity(ec), Biological oxygen demand(bod), chemical oxygen demand(cod), total suspended solids(tss), dissolved oxygen(o2) and total dissolved solids(tdc) have been investigated. The study shows that the industrial effluent contains a percent of organic pollution and in different values, and that it is responsible for the (bod), which records (5.15-67)ppm, while the (cod) ranges between (25-170.5)ppm, the (ec) values range between (

حزب العمال الكردستاني ودوره في تطوير القضية الكردية في تركيا من 1991-2013

This paper presents a method to classify colored textural images of skin tissues. Since medical images havehighly heterogeneity, the development of reliable skin-cancer detection process is difficult, and a mono fractaldimension is not sufficient to classify images of this nature. A multifractal-based feature vectors are suggested hereas an alternative and more effective tool. At the same time multiple color channels are used to get more descriptivefeatures.Two multifractal based set of features are suggested here. The first set measures the local roughness property, whilethe second set measure the local contrast property.A combination of all the extracted features from the three colormodels gives a highest classification accuracy with 99.4

In this paper, membrane-based computing image segmentation, both region-based and edge-based, is proposed for medical images that involve two types of neighborhood relations between pixels. These neighborhood relations—namely, 4-adjacency and 8-adjacency of a membrane computing approach—construct a family of tissue-like P systems for segmenting actual 2D medical images in a constant number of steps; the two types of adjacency were compared using different hardware platforms. The process involves the generation of membrane-based segmentation rules for 2D medical images. The rules are written in the P-Lingua format and appended to the input image for visualization. The findings show that the neighborhood relations between pixels o

Background: Depressive symptoms are commonly occurring in many psychiatric illnesses. Many people experience the first symptoms of depression during their college years. Unfortunately, many college students who have depression are not getting the help they need.
Objectives : to find out the point prevalence of clinically significant depressive symptoms in students of Baghdad College of Medicine, University of Baghdad, and its association with life stressors.
Subjects and Methods: A cross sectional study of students of Baghdad College of Medicine, University of Baghdad during March and April 2013. A random sample was chosen and each student was asked to fill a questionnaire that contains demographic information, the Patient Health Q