Alternative  distribution  to estimate the Dose – Response  model in bioassay  excrement

This research   concern to study five different distribution (Probit , Logistic, Arc sine , extreme value , One hit  ), to estimate  dose –response model by using m.l.e  and probit method This is done by determining different  weights in each  distribution in addition find all particular statistics for vital model . 

The  present study  deals  with successive  stages  of  productive

operations happened to produce a production within each stage befo re it  moves to the next one. ll cou ld  be deduced that this study is an extension  to what bas  been mentioned  in (1 ) .ln  (I),  the  optimum distribution of  di!Terent jobs of  workers and  machines  in  the productive operations has been st ud ied whi le the study  invol ves the optimum schedule for the succession of these operations presuming that thay have already been distributed on machines and workers (2).A mathematical form has been put for this study to define the "Object.ive Function "

Los textos periodísticos tienen sus rasgos textuales específicos, por lo tanto el traductor o el intérprete como usuario de este tipo de textos debe tener en cuenta estos rasgos textuales y tener las competencias textuales necesarias para que estos textos adapten a un nuevo contexto lingüístico y cultural. En ocasiones el traductor de estos textos periodísticos debe desempañar la tarea del periodista, los textos periodísticos presentan algunas dificultades al traducirlos porque abarcan elementos paralingüísticos, además de ser textos de marcos históricos, sociales, culturales, deportivas, etc. .El objetivo del presente trabajo es aclarar la traducción en el ámbito periodístico además de mostrar los principales problema

This study can be considered as un introduction to the idioms and the strategy about the productive partnership development connection, that helps the researcher and the organization in their work in to activate development and the natural sources,manegment,to improve the two sides active connected to the local society, and to use it as easier and smoother participation of the people who work in development field and the natural sources management research, That connection depends mostly upon the capability of researcher and the development worker to increase the ability of individual and local society to specify and analyzing their problems and to try solutions to make their life better with good income.   

   The purpose of this study was to evaluate the thickness of the compressed breast in mediolateral oblique (MLO) and craniocaudal (cc) mammograms to relate these thickness and breast patterns to mean glandular dose (MAD) in Iraqi women and to evalualat radiology's recommendation for Iraqi women. The study of population consists of 20 paired MLO and CC mammograms obtained on one mammograms unit .The digital read out of compressed breast thickness MGD was calculated by multiplying entrance skin exposure by the exposureto-absorbed dose conversion factor for the range of breast thickness which was 7.1 ----7.4cm   in cc mammograms with a mean breast thickness of 7.2 cm and 7.3 ------7.5 cm in MLO mammograms with a mean br

      Data mining has the most important role in healthcare for discovering hidden relationships in big datasets, especially in breast cancer diagnostics, which is the most popular cause of death in the world. In this paper two algorithms are applied that are decision tree and K-Nearest Neighbour for diagnosing Breast Cancer Grad in order to reduce its risk on patients. In decision tree with feature selection, the Gini index gives an accuracy of %87.83, while with entropy, the feature selection gives an accuracy of %86.77. In both cases, Age appeared as the  most effective parameter, particularly when Age<49.5. Whereas  Ki67  appeared as a second effective parameter. Furthermore, K- Nearest Neighbor is based on the minimu