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METHODS OF MEASURING THE LEVEL OF COMMUNICATION EFFICIENCY IN NEWS HEADLINES: (Drawn from the doctoral thesis)
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Measuring the level of communicative competence in news headlines and the level of stylistic and semantic processing in its formulation requires creating a quantitative scale based on the bases on building the scales and their standards. As judging by scientific of journalism studies lies in the possibility of quantifying the journalistic knowledge, i.e. the ability of this knowledge to shift from qualitative language to its equivalent in the language of numbers.

News headlines and editorial processing are one of the journalistic knowledges that should be studied, analyzed stylistically and semantically; their conclusions drawn and expressed in numbers. Press knowledge is divided into two types:

First: Knowledges related to the means element means the newspaper, whether a newspaper or magazine.

Second: Knowledges related to the sender, message, receiver, echo or impact elements. The news headline measure to be developed depends on the division of these types of journalistic knowledge according to the elements of the communication process. It measures the efficiency of each of its components as follows:

  1. Stylistic and semantic measurement of the media message in the form of news headlines: It includes a set of mathematical equations that adopt the ratio and proportionality system developed by the researcher for the purpose of accomplishing the measurement of the effectiveness of the headlines published in newspapers and their level of communication efficiency. This measurement represents the press knowledge related to the element of the message.
  2. Measure the level of communication skills of press editors with regard to stylistic and semantic processing in formulating the news headlines using the test model prepared by the researcher for the purpose of completing this measurement of twenty questions and each question estimate five grades.

In this light, the degree of drafting skill of news editors is determined. And this measurement represents journalistic knowledge related to the sender's element. Communication skill is matched by craft and intelligence. It means upgrading the meanings positively, excitement and conciseness in order to reach balance with the form of the method used; and to provide meaning in harmony and rhythm.

Communication skills mean writing and speaking skills on the one hand; and reading and listening skills on the other hand, i.e. the ability of the writer or speaker as the sender or source to choose linguistic and non-linguistic symbols; as well as the ability of the recipient to convert the symbols received to meanings he/ she can understand and grasp. This process is called coding skills.

  1. Determining the preference of the formulas in the news headlines resulting from the treatment taken by the editor that achieve the means of attracting attention and interest of the reader using the semantic differentiation form prepared by the researcher to identify the preference of the formulations used in the headlines of the readers that attract their attention and interest in the news. This measurement represents journalistic knowledge related to the elements of the future and echo.
  2. Identifying the newspapers whose titles are subject to the study according to the research plan and objectives; measuring the efficiency of drafting the titles; and presenting and diagnosing the type of journalism school to which it belongs. This measurement represents journalistic knowledge related to the instrument element.

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Publication Date
Tue Jan 01 2019
Journal Name
International Journal Of Machine Learning And Computing
Facial Emotion Recognition from Videos Using Deep Convolutional Neural Networks
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Its well known that understanding human facial expressions is a key component in understanding emotions and finds broad applications in the field of human-computer interaction (HCI), has been a long-standing issue. In this paper, we shed light on the utilisation of a deep convolutional neural network (DCNN) for facial emotion recognition from videos using the TensorFlow machine-learning library from Google. This work was applied to ten emotions from the Amsterdam Dynamic Facial Expression Set-Bath Intensity Variations (ADFES-BIV) dataset and tested using two datasets.

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Publication Date
Mon Mar 06 2023
Journal Name
Environmental Monitoring And Assessment
Copper metal elimination from polluted soil by electro-kinetic technique
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Publication Date
Sat Apr 05 2025
Journal Name
2025 Ieee 4th International Conference On Computing And Machine Intelligence (icmi)
From Pixels to Diagnosis: AI-Powered CNN for Pneumonia Detection
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Publication Date
Fri Feb 08 2019
Journal Name
Journal Of The College Of Education For Women
Investigating Color Idioms and their Translation from English into Arabic
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Colors are universal, and throughout the ages, they have been associated with
various religious, social and spiritual meanings. They symbolize a galaxy of things
to designate certain ideas or symbols that are sometimes contradictory.
The present study is an attempt to investigate colors, their meanings and
symbolism, and the approaches to translating color idioms from English into
Arabic. It fathoms one of the thorny areas for translation theorists let alone
practitioners. Various definitions, classifications of types and symbolism across
cultures are provided. After reviewing idioms and methods of translating them, a
survey of 114 sentences that include color idioms was conducted to see which
method is mostly

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Publication Date
Fri Mar 20 2009
Journal Name
Ijcsns International Journal Of Computer Science And Network Security
Pre-processing Importance for Extracting Contours from Noisy Echocardiographic Images
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Contours extraction from two dimensional echocardiographic images has been a challenge in digital image processing. This is essentially due to the heavy noise, poor quality of these images and some artifacts like papillary muscles, intra-cavity structures as chordate, and valves that can interfere with the endocardial border tracking. In this paper, we will present a technique to extract the contours of heart boundaries from a sequence of echocardiographic images, where it started with pre-processing to reduce noise and produce better image quality. By pre-processing the images, the unclear edges are avoided, and we can get an accurate detection of both heart boundary and movement of heart valves.

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Publication Date
Wed Mar 10 2021
Journal Name
Baghdad Science Journal
New algorithms to Enhanced Fused Images from Auto-Focus Images
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Enhancing quality image fusion was proposed using new algorithms in auto-focus image fusion. The first algorithm is based on determining the standard deviation to combine two images. The second algorithm concentrates on the contrast at edge points and correlation method as the criteria parameter for the resulted image quality. This algorithm considers three blocks with different sizes at the homogenous region and moves it 10 pixels within the same homogenous region. These blocks examine the statistical properties of the block and decide automatically the next step. The resulted combined image is better in the contras

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Publication Date
Wed Jan 08 2025
Journal Name
Interventional Cardiology
Intravascular Foreign Bodies Retrieval: Navigating Differences From Childhood to Adulthood
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Publication Date
Sun Nov 12 2023
Journal Name
Migration Letters
Piezoelectric Energy Harvesting from Vortex-Induced Vibrations: Design and Correlations
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This study delves into the design optimization of a hydropower harvesting system, exploring various parameters and their influence on system performance. By modifying the variables within the model to suit different flow conditions, a judiciously optimized design is attainable. Notably, the lift force generated is found to be intricately linked to the strategic interplay of the bluff body's location, cylinder dimensions, and flow velocity. The findings culminate in the establishment of empirical equations, one for lift force and another for displacement, based on the force equation. Many energy harvesting approaches hinge on the reciprocating motion inherent to the structural system. The methodology developed in this study emerges as a pot

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Publication Date
Mon Oct 28 2013
Journal Name
Desalination And Water Treatment
Groundwater protection from cadmium contamination by zeolite permeable reactive barrier
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This work studies the performance of zeolite permeable reactive barrier in removing cadmium from a contaminated shallow aquifer. Batch tests have been performed to characterize the equilibrium sorption properties of the zeolite in cadmium-containing aqueous solutions. A 1D numerical finite difference model has been developed to describe pollutant transport within groundwater taking pollutant sorption on the permeable reactive barrier (PRB), which is performed by Langmuir equation, into account. Numerical results show that the PRB starts to saturate after a period of time (~120 h) due to reduction of the retardation factor, indicating a decrease in the percentage of zeolite functionality. However, a reasonable agreement between model predict

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Publication Date
Tue Dec 20 2022
Journal Name
Bulletin Of The Iraq Natural History Museum (p-issn: 1017-8678 , E-issn: 2311-9799)
NEW RECORDS ON SALTICIDAE AND THERIDIIDAE (ARANEAE) SPIDERS FROM ARMENIA
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New data on jumping spiders (Salticidae) and tangle-web spiders (Theridiidae) of Armenia are provided on the basis of recently collected specimens in various regions of Armenia. One species, Ballus rufipes (Simon, 1868) is recorded as new to the Caucasus Region, in addition to the following species: Neon reticulatus (Blackwall, 1853), Pellenes brevis (Simon, 1868), Salticus scenicus (Clerck, 1757) and Synageles dalmaticus (Keyserling, 1863) that belong to a family Salticidae, are recorded in Armenia for the first time.
A further 7 species of Theridiidae are recorded in Armenia for the first time Kochiura aulica (C. L. Koch, 1838), Steatoda albomaculata (De Geer, 1778), Steatoda bipunctata (Linnaeus, 1758), Steatoda castanea Clerk, 175

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