The researches discusses the style of acting used by (Sami Abdul-Hameed) in one of the play director (Salah AL-Kassab) production whine he called; Picturesque.
The problem of this research is to discover the differences between the performance of (Sami Abdul-Hameed) in the Picturesque Theatre and the other theatre.
The goal of the research is to get to know the style of acting used in (king Lear) directed by (Salah AL-Kassab).
After defining the term (picturesque theatre), the researcher discusses the elements of the Visual theatre and the components of the stage picture according to (Alexander Dean) and he refers to those well-known director who had emphasized the Visual elements. Such as (Gordon Grieg) and (Franco Zeferreli).
In the second part of chapter two, the researcher discusses the mechanism of the actor's performance generally and in (Salah AL-Kassab) approach in directing of a play tends to borrow elements from deism and surrealism such as multiple focus, and not to follow the principle of cause and effect.
The researcher discusses the following results;
1. There are some differences in the cultural background between the actor (Sami Abdul-Hameed) and the director (Salah AL-Kassab).
2. There are some differences in the artistic approach between the actor who depends on (Stanislavski) method, and the director who belong to the trend of the art for the sake of Art.
3. (Salah AL-Kassab) in directing a play treat the actors as supper marinates.
The researcher researches the following conclusions;
1. To achieve the Picturesque Theatre the play director has not to use the words of the text.
2. The actor in the Picturesque Theatre play as a tool by the director's hand.
3. In the Picturesque Theatre the actor has to follow all the instructions of the director.
4. The actor in the Picturesque Theatre has to be more flex able and enough experience.
The logistic regression model is one of the oldest and most common of the regression models, and it is known as one of the statistical methods used to describe and estimate the relationship between a dependent random variable and explanatory random variables. Several methods are used to estimate this model, including the bootstrap method, which is one of the estimation methods that depend on the principle of sampling with return, and is represented by a sample reshaping that includes (n) of the elements drawn by randomly returning from (N) from the original data, It is a computational method used to determine the measure of accuracy to estimate the statistics, and for this reason, this method was used to find more accurate estimates. The ma
... Show MoreThe current study was designed to investigate the histological structure of the cerebellum in the Iraqi frog
Our scientists Arabs old efforts in achieving texts that led to the foundations of general
rules they have set for this work in accordance with the systematic context is based on the
study, analysis and precision in dealing with this work, which became the basis for each
investigator to the present day, which was to them careful consideration manuscripts and
work to be closer to the image by its author, so produced their efforts in this area several
books provided the technical wizards of this science, which did not leave a gap in which only
gave her treatments and suggestions each and every one of the point made by and gave her
what produced the expertise in this direction in accordance with the formulations
meth
Distribution of light intensity in the flat photobioreactor for microalgae cultivation as a step design for production of bio-renewable energy was addressed in the current study. Five sizes of bioreactors with specific distances from the main light source were adopted as independent variables in experiential design model. The results showed that the bioreactor’s location according to the light source, determines the nature of light intensity distribution in the reactor body. However, the cross-section area plays an important role in determining the suitable location of reactor to achieve required light homogeneity. This area could change even the expected response of the light passing through the reactor if Beer-Lambert's law is adopted.
... Show MoreProjects suspensions are between the most insistent tasks confronted by the construction field accredited to the sector’s difficulty and its essential delay risk foundations’ interdependence. Machine learning provides a perfect group of techniques, which can attack those complex systems. The study aimed to recognize and progress a wellorganized predictive data tool to examine and learn from delay sources depend on preceding data of construction projects by using decision trees and naïve Bayesian classification algorithms. An intensive review of available data has been conducted to explore the real reasons and causes of construction project delays. The results show that the postpo