Action films employ many artistic and literary elements that contribute greatly to building the general meaning of the film and push the wheel of the film forward. The element of mystery and suspense is used as two basic elements in action films. The cinematic language in action films depends on global coding, which is not models as it might be. It is based on logic, rather as units that aspire to morphology and not their homogeneity as the physical sense, but as the logical harmony of interpretive authority and enlightenment and in action films as a field of communication and a field in its origin in which the signifier contrasts with the perceptions of the meaning and in it takes a certain number of units preventing each other and through what The researcher summarizes the problem of his research with the following question: How to use scientific encryption to build meaning in action films?
Methodological framework: It includes the research problem, its importance, objectives, and terminology definition.
The theoretical framework: It was divided into two topics that came as follows: The first topic: scientific coding, the second topic: the production of meaning: the third topic: the code and the production of meaning in the cinematic picture: After that, the researcher reached the indicators of the theoretical framework.
Research procedures: The research method included the unit of analysis and sample analysis, which was the film (Saving Private Ryan) according to the indicators that the researcher came out with from the theoretical framework.
After analyzing the sample, the researcher came to a number of findings and conclusions, including:
1. The mark, in all its types, constitutes a point indicating many important information about the personality.
2. The global coding provides an innovative formulation that works in the field of cinematic creativity.
3. The global encryption occupies a great importance in action movies
Abstract:
Interest in the topic of prediction has increased in recent years and appeared modern methods such as Artificial Neural Networks models, if these methods are able to learn and adapt self with any model, and does not require assumptions on the nature of the time series. On the other hand, the methods currently used to predict the classic method such as Box-Jenkins may be difficult to diagnose chain and modeling because they assume strict conditions.
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The aim of the study is to investigate the extent to which the teachers of Islamic education and their teachers taught the technological innovations in the universities and to test the significance of the differences between the averages of the degree of practice according to the variables: gender, experience, scientific qualification, and educational stage. To achieve these objectives, a questionnaire consisting of (20) (20) teacher and school, teachers of Islamic education in Iraqi universities.
The results indicated that the degree of the practice of Islamic education teachers and their teachers of technological innovations was moderate, and there were statistically significant differences in the variable of
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Internet paths sharing the same congested link can be identified using several shared congestion detection techniques. The new detection technique which is proposed in this paper depends on the previous novel technique (delay correlation with wavelet denoising (DCW) with new denoising method called Discrete Multiwavelet Transform (DMWT) as signal denoising to separate between queuing delay caused by network congestion and delay caused by various other delay variations. The new detection technique provides faster convergence (3 to 5 seconds less than previous novel technique) while using fewer probe packets approximately half numbers than the previous novel technique, so it will reduce the overload on the network caused by probe packets.
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