The cancer is one of the biggest health problems that facing the world . And the bladder cancer has a special place among the most spread cancers in Arab countries specially in Iraq and Egypt(2) . It is one of the diseases which can be treated and cured if it is diagnosed early . This research is aimed at studying the assistant factors that diagnose bladder cancer such as (patient's age , gender , and other major complains of hematuria , burning or pain during urination and micturition disorders) and then determine which factors are the most effective in the possibility of diagnosing this disease by using the statistical model (logistic regression model) and depending on a random sample of (128) patients . After collecting and analyzing concerned collected data , the research concluded that the factor of (hematuria) has been found the most effective in the possibility of diagnosing this disease , followed by the factor (patient's age) . Other factors (gender , burning or pain during urination and micturition disorders) were found not significant effective in the possibility of diagnosing this disease . The research ended with some recommendations in this concern
إدارة المخاطر في الوحدات الإقتصادية الصناعية بإستعمال مخطط باريتو
ملامح من فكرة القانون الطبيعي في حضارة العراق القديم
Still Financial institutions, including banks, a key target for money launderers to transfer illicit funds to the legitimate funds and by weaknesses in the internal audit procedures applied in the banks or through a lack of legal structure to combat this phenomenon in addition to the procedures by other regulations
T
... Show MorePsychological Counseling Services occupies a high position in the developed countries and that for its psychologist services for different sectors of the community members, and has been popularized until recently the wrong concept of the effect, that the psychological service is provided only to the owners of behavior is normal only, Vantage him neglect to provide psychological services a large segment of the community members who are in dire need of these services.
The counseling service is part of a global social movement seeking to emphasize the quality of life of the human and the emphasis on the value and dign
... Show MoreSeemed reflections of cultural globalization are clear on the values of communities those values that preserve each community privacy, so that became members of these communities lack the ability to distinguish clearly between what is right and what is wrong and adoption of ideas and values imported from abroad, regardless of whether positive or negative. The aim of the research was to: - 1 - Detection of cultural globalization in the educational values for students kindergarten section. 2 - To identify the most prominent educational values (social, scientific, aesthetic, moral and spiritual) globalized culture. The current Aqtsralbges on: - Department of kindergarten students to study in the morning College for Girls, Baghdad University
... Show Moreدور المعالجة الادراكية في اختزال البنية التصميمية للعلامة التجارية
The words in the Holy Qur’an are distinguished by the
accuracy of expression, their elegance, the lightness of their
performance, the harmony of their timbre, as well as the ease of
their pronunciation. We find the coarse words in which the
movement of sounds and the hesitation of the soul are mixed, as
it was distinguished by the abundance of its words indicating the
same meaning without a phenomenon that the reader or the
listener notices
Sentiment analysis refers to the task of identifying polarity of positive and negative for particular text that yield an opinion. Arabic language has been expanded dramatically in the last decade especially with the emergence of social websites (e.g. Twitter, Facebook, etc.). Several studies addressed sentiment analysis for Arabic language using various techniques. The most efficient techniques according to the literature were the machine learning due to their capabilities to build a training model. Yet, there is still issues facing the Arabic sentiment analysis using machine learning techniques. Such issues are related to employing robust features that have the ability to discrimina
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