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Importance of New Use of Concrete in Iraq Analysis of Development And Use of Concrete in Architecture
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Since its invention by the Ancient Romans and later developed during the mid-18th century, the concrete structure and finish, has been considered as the most powerful, practical, economic and constructional material that meets the building’s architectural and aesthetical requirements. By creating unique architectural forms, the pioneer architects used concrete widely to shape up their innovative designs and buildings.

The pre-mixed ultra-high performance concrete which manufactured by Lafarge.

The transparent concrete and cement that allow the light beams to pass through them, introduces remarkable well-lit architectural spaces within the same structural criteria. This product is a recyclable, sustainable, friendly environmental and cost efficient back up.

Due to its characteristics, strength, flexibility, affordability and long term performance, the concert integrated and contributed in modern architecture, urbanism and civil developments. Apparently, most of the 20th Century architects employed high-tech concrete method to deliver Iconic and bespoke architectural monuments world-wide. The interaction between the architectural form and the concrete as a buildable, executable, structural and constructional material has been always the main concern for architects over generations.

The formalism in architecture was first identified by the Art-Nouveau movement during the early 20 century in Europe as well as in Northern America. It formed, utilized and sculptured the concert to meet the use, function, aesthetical and spatial needs of spaces. This wave generated series of most significant, outstanding and impressive buildings in the architectural symbolized record.

This was followed by the Brutalism architecture presented by Alison and Peter Smithson in England and also by Le Corbusier works in Marseille and India. However, Alvar Alto and Louis Khan have participated and established a tremendous use of concrete to erect public interest developments on the same era

The concert as a structural element dominated the Metabolism architecture that represented by the Japanese architects like Kiyonori Kikutake, Kisho Kurokawa, Noboru Kawazoe, Masato Otakaand and Fumihiko Maki. They visualized the city of the future to be viable, evaluable, expandable, flexible structures that evoked the processes of organic growth as it is in nature. Their developments are often called technocratic and described as avant-garde with a rhetorical character. The Metabolist mega structures heavily relied on advanced technology and adaptable plug-in building techniques in using this material.

The research concluded the influences of the concrete as a building material upon the modern and building forms from the outsets. By exploring the history of the material, expanding its characteristics and specifications and later demonstrating the modern architecture movements and architects, this research has achieved its targets to acknowledge the importance of concrete in the current construction market and architectural developments.

 

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Publication Date
Sat Jan 03 2026
Journal Name
Journal Of Baghdad College Of Dentistry
Periodontal health and salivary Interleukin -6 among preterm postpartum women
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Background: Hormonal changes during pregnancy have been suggested to predispose women to gingivitis. Furthermore, advance periodontal infection in pregnant women may pose a threat to the placenta and uterus and may increase the like hood of preterm delivery. The aim of this study was to investigate the effect of salivary interleukin -6 (IL-6) level and periodontal health among preterm postpartum women. Materials and Methods: Salivary samples were taken from 33 preterm postpartum women (study group) and 33 full term postpartum women (control group). The supernatant salivary samples were assayed using atomic absorption spectrophotometer. Plaque, calculus and gingival indices were used for recording the oral hygiene and gingivitis also probing

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Publication Date
Tue Dec 17 2019
Journal Name
Lecture Notes In Electrical Engineering
Aspect Categorization Using Domain-Trained Word Embedding and Topic Modelling
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Aspect-based sentiment analysis is the most important research topic conducted to extract and categorize aspect-terms from online reviews. Recent efforts have shown that topic modelling is vigorously used for this task. In this paper, we integrated word embedding into collapsed Gibbs sampling in Latent Dirichlet Allocation (LDA). Specifically, the conditional distribution in the topic model is improved using the word embedding model that was trained against (customer review) training dataset. Semantic similarity (cosine measure) was leveraged to distribute the aspect-terms to their related aspect-category cognitively. The experiment was conducted to extract and categorize the aspect terms from SemEval 2014 dataset.

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Publication Date
Sun Feb 10 2019
Journal Name
Journal Of The College Of Education For Women
Role socialization family erroneous and its impact on criminal behavior
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The correct and sincere process of socialization is working on appropriate social climate in
which this process is the provision, and the climate is achieved in the presence of a positive
environment free of negatives and contradictions, but when there is a socialization processes
inadequate and contradictory was not based on the principles of punishment and reward nor a
balance between methods soft and intensity of treatment and interaction with small and
adolescent does not require intensive social care formulas do not create the conditions
essential items required by the successful and effective socialization, the young and the young
people who are going through in such Altanisah and educational operations will be

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Publication Date
Tue Aug 30 2022
Journal Name
Pakistan Journal Of Medical & Health Sciences
Association between Digital Addiction and Sleep Habits for Preschool Children
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Publication Date
Fri Jan 01 2021
Journal Name
Indonesian Journal Of Electrical Engineering And Computer Science
Stamps extraction using local adaptive k- means and ISODATA algorithms
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<span>One of the main difficulties facing the certified documents documentary archiving system is checking the stamps system, but, that stamps may be contains complex background and surrounded by unwanted data. Therefore, the main objective of this paper is to isolate background and to remove noise that may be surrounded stamp. Our proposed method comprises of four phases, firstly, we apply k-means algorithm for clustering stamp image into a number of clusters and merged them using ISODATA algorithm. Secondly, we compute mean and standard deviation for each remaining cluster to isolate background cluster from stamp cluster. Thirdly, a region growing algorithm is applied to segment the image and then choosing the connected regi

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Publication Date
Sat Jan 01 2005
Journal Name
Iraqi Journal Of Science
Comparison between Zernike moment and central moments for matching problem
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Moment invariants have wide applications in image recognition since they were proposed.

Publication Date
Sun Feb 03 2019
Journal Name
Journal Of The College Of Education For Women
The Islamic Regular Charity between The Immediacy and The Lagging
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The islamic legitimacy,imposition and of al-zakkat(regular charity) are well
known matters to the whole muslims but being in love with the present life and
worldly existence and being in scare of the death made some of the moslems to lag
behind and delay of keeping with that matter (regular charity) because the mony al
wayes was the reason for the man happiness in the present life allah makes al-zakat
(regular charity) one of the granting remissionns of the moslems people sins in return
for that allah promised the moslems to honored them with the eternal life in in the
paradise where is the gardens beneath which rivers flow so that I decided to write in
this matter of couarse after trust and recommend in god and h

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Publication Date
Sun Nov 26 2017
Journal Name
Journal Of Engineering
Compression Index and Compression Ratio Prediction by Artificial Neural Networks
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Information about soil consolidation is essential in geotechnical design. Because of the time and expense involved in performing consolidation tests, equations are required to estimate compression index from soil index properties. Although many empirical equations concerning soil properties have been proposed, such equations may not be appropriate for local situations. The aim of this study is to investigate the consolidation and physical properties of the cohesive soil. Artificial Neural Network (ANN) has been adapted in this investigation to predict the compression index and compression ratio using basic index properties. One hundred and ninety five consolidation results for soils tested at different construction sites

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Publication Date
Mon Jan 02 2017
Journal Name
Journal Of Educational And Psychological Researches
Frustration degree and guilt among drug addicts harmful to themselves
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This study aimed to identify the degree of frustration and guilt among addicts who hurt themselves with drug,  and to know the addicts perspective  who are in treatment clinics and rehabilitation centers  in Palestine, in order to achieve this goal aDeterminationThe study population has been identified , this study population consisted of ' (82) addict, the researcher used the descriptive analytical method which is appropriate for  this  study, so the researcher questioned the addicts who are in treatment clinics and rehabilitation centers  in Palestine and analyze their  responses  in light of some of the variables.

The study results showed that drug addicts who ar

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Publication Date
Sun Feb 25 2024
Journal Name
Baghdad Science Journal
Qin Seal Script Character Recognition with Fuzzy and Incomplete Information
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The dependable and efficient identification of Qin seal script characters is pivotal in the discovery, preservation, and inheritance of the distinctive cultural values embodied by these artifacts. This paper uses image histograms of oriented gradients (HOG) features and an SVM model to discuss a character recognition model for identifying partial and blurred Qin seal script characters. The model achieves accurate recognition on a small, imbalanced dataset. Firstly, a dataset of Qin seal script image samples is established, and Gaussian filtering is employed to remove image noise. Subsequently, the gamma transformation algorithm adjusts the image brightness and enhances the contrast between font structures and image backgrounds. After a s

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Scopus (3)
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