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Enhancing livelihood through urban intensification
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 The research deals with a modern concept in its applications and the studies it deals with, as the concept of urban densification is one of the most recent sustainable development strategies for cities.

Studies looking at the relationship between condensation and viability show mixed results. This study sheds light on how the built environment of dense urban areas affects the perceived quality of life of the population. How to enhance acceptance of dense life is an important question to investigate.

Adopting the concept of urban densification in city planning policies to be more sustainable and livable is of great importance by achieving efficient use of urban land and limiting urban sprawl, as well as reducing the use of the transport network by achieving an increase in reliance on public or collective transport, which affects the environment positively. As well as creating a socially interactive environment. In spite of this, debates remain as to whether cities in developing countries benefit from urban intensification in enhancing the viability of cities in a sustainable manner.

This research explores various dimensions of livelihood measurement by studying international experiences and extracting several indicators to measure that. This research is drawn from the master's thesis entitled Sustainable Urban Intensification of the Nasiriyah City Center, where in this study the search will be made for appropriate solutions and options to make the city more sustainable, productive, livable and less consuming of energy and resources. This study objectively examines the prevailing pattern of urbanization, city planning and

 

development, and living in Urban centers, and options for making cities green and ecological through urban densification and the adoption of compact city planning; Adopting mixed uses of land, reducing urban sprawl and increasing density.

In its theoretical framework, the research deals with the concept of livability, the idea and goals of livability in urban planning, as well as the extent of the possibility of living through urban densification. A set of indicators were extracted (public transportation, community facilities, open space and public space, a sense of community, a sense of safety, and the area of ​​the dwelling). These main indicators also include several secondary indicators, through which it is possible to arrive at a measure of the extent to which the viability of living in cities can be achieved. Urban intensive.

As for the practical side, it was represented by conducting a field survey of the study area (Nasiriyah city center) to identify the characteristics of the city, and after that the indicators drawn from the theoretical framework were applied to it.

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Publication Date
Sun Jan 01 2012
Journal Name
Journal Of The College Of Languages (jcl)
המאבק הפנימי של מרדכי זאב פיארברג מתוך גיבורו של הסיפור "לאן?"
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המחקר הזה עוסק באחד מהסופרים העבריים שנחשבו בעלי־השפעה בתהליך הספרות העברית החדשה על אף גילו הקצר ועל אף שהוא השאיר עזבון ספרותי מועט, אך עם זה דמותו עולה לענינו גם מתוך כתביו המעטים כאילו הם טבועים בחותם, הסופר הזה הוא מרדכי זאב פיארברג.

 

            במחקר זה טיפלנו בחייו של המספר הזה בקיצור וגם ביצירותיו באופן כללי, ובסימנים המאפינים את גיבוריו, ובמיוחד גיבורו של הסיפור "

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Publication Date
Wed Jun 01 2005
Journal Name
Journal Of The College Of Languages (jcl)
الاحاسيس القومية والوطنية في الادب التركماني من خلال شعر ونثر الشاعر خضر لطفي
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Vatan ve hürriyet aşkının ilk ve en Kuvvetli örneklerinden Türkmen topraklarında yetişen yüzlerce Şairlerden biri Hıdır Lütfü’dür. Düşmana yar, öz evladına ağyar, yumuşak tabiatlı, yardımı ve milletini seven bir insandır. Şairin duygusu her dem yükseklere yücelirdi. O bilgili bir şair olduğu için şiirinde türlü türlü bilgi ile ögütleri arkasında bırakmamış onun duygusu bir bulak gibi her dem durmadan coşardı.
Onun en çok sevdiği varlıklar yurdu ile ulusuydı, ve tek acısı onların ilerleme ile yükselemesi içın bir haykırıydı.
Şair her zaman yurdunun ufukunda dolaşıp ulusunun bugünkü ve geleck torunları için yanıklı duyguları ile bir yol gosterıci gibi olmuştur.

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Publication Date
Sun Mar 01 2009
Journal Name
Journal Of Economics And Administrative Sciences
Evaluation of the foundations of preparing the general budget of the StateThrough the 2008 federal budget analysis
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تعد الموازنة الأداة الأساسية لتنفيذ أولويات أية دولة، ويتوجب النظر إليها في ضوء المناخ الاجتماعي والسياسي والاقتصادي، لأنها تساعد في توجيه الاقتصاد لتحقيق النمو ورفع مستوى الرفاهية. اعتمدت وزارة المالية في أعداد الموازنة السنوية بعد 9/4/ 2003 أسلوباً مغايراً لما كان معتمداً في العقود الماضية، إذ كانت هناك موازنتين الأولى الموازنة الجارية، والثانية الموازنة الاستثمارية رغم وجود قانون يحتم إصدار موازنة

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Publication Date
Mon Mar 08 2021
Journal Name
Baghdad Science Journal
Using He-Ne laser irradiation for enhancing cartilage Autografts
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thirty adult NewZealand rabbits used in this study, they were divided in to two groups (control and treaded with Helium — Neon laser). A square skin flap done on the medial aspect of the auricle of both sides, a square piece of cartilage incised, pealed out from each auricle and fixed in the site of the other, then the flaps sutured .The site of the operation in the rabbits of the treated group were irradiated using a Helium —Neon laser with (5mw) power for (10 days) began after the operation directly, (3 rabbits) from each group used for collection of specimens for histopathological examination at the weeks (1,2,3,4, & 6) weeks post the operation .The results revealed Early invasion of the matrix with elastic fibers which continue to t

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Publication Date
Sun Dec 29 2024
Journal Name
Muthanna Journal Of Pure Science
Two-Fold Cryptography: Enhancing Image Security with Henon Map
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This paper introduces an innovative method for image encryption called "Two-Fold Cryptography," which leverages the Henon map in a dual-layer encryption framework. By applying two distinct encryption processes, this approach offers enhanced security for images. Key parameters generated by the Henon map dynamically shape both stages of encryption, creating a sophisticated and robust security system. The findings reveal that Two-Fold Cryptography provides a notable improvement in image protection, outperforming traditional single-layer encryption techniques.

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Publication Date
Thu Dec 21 2023
Journal Name
Mathematical Modelling Of Engineering Problems
Enhancing Spatial Accuracy of OpenStreetMap Data: A Geometric Approach
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OpenStreetMap (OSM), recognised for its current and readily accessible spatial database, frequently serves regions lacking precise data at the necessary granularity. Global collaboration among OSM contributors presents challenges to data quality and uniformity, exacerbated by the sheer volume of input and indistinct data annotation protocols. This study presents a methodological improvement in the spatial accuracy of OSM datasets centred over Baghdad, Iraq, utilising data derived from OSM services and satellite imagery. An analytical focus was placed on two geometric correction methods: a two-dimensional polynomial affine transformation and a two-dimensional polynomial conformal transformation. The former involves twelve coefficients for ad

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Publication Date
Sun Jan 01 2017
Journal Name
Proceedings Of The Conference “recent Trends In Engineering Sciences And Sustainability”, Baghdad
GNSS positioning techniques for enhancing Google Earth data quality
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Due to the easily access to the satellite images, Google Earth (GE) images have become more popular than other online virtual globes. However, the popularity of GE is not an indication of its accuracy. A considerable amount of literature has been published on evaluating the positional accuracy of GE data; however there are few studies which have investigated the subject of improving the GE accuracy. In this paper, a practical method for enhancing the horizontal positional accuracy of GE is suggested by establishing ten reference points, in University of Baghdad main campus, using different Global Navigation Satellite System (GNSS) observation techniques: Rapid Static, Post-Processing Kinematic, and Network. Then, the GE image for the study

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Publication Date
Fri Feb 21 2025
Journal Name
2025 First International Conference On Advances In Computer Science, Electrical, Electronics, And Communication Technologies (ce2ct)
Enhancing Cloud Security Implementing AI-Based Intrusion Detection Systems
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The increasing complexity of assaults necessitates the use of innovative intrusion detection systems (IDS) to safeguard critical assets and data. There is a higher risk of cyberattacks like data breaches and unauthorised access since cloud services have been used more frequently. The project's goal is to find out how Artificial Intelligence (AI) could enhance the IDS's ability to identify and classify network traffic and identify anomalous activities. Online dangers could be identified with IDS. An intrusion detection system, or IDS, is required to keep networks secure. We must create efficient IDS for the cloud platform as well, since it is constantly growing and permeating more aspects of our daily life. However, using standard intrusion

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Publication Date
Thu Dec 21 2023
Journal Name
Mikrobiolohichnyi Zhurnal
Focus on Synergistic Bacteriocin-Nanoparticles Enhancing Antimicrobial Activity Assay
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Antimicrobial resistance is one of the most significant threats to public health worldwide. As opposed to using traditional antibiotics, which are effective against diseases that are multidrug-resistant, it is vital to concentrate on the most innovative antibacterial compounds. These innate bacterial arsenals under the term «bacteriocins» refer to low-molecularweight, heat-stable, membrane-active, proteolytically degradable, and pore-forming cationic peptides. Due to their ability to attack bacteria, viruses, fungi, and biofilm, bacteriocins appear to be the most promising, currently accessible alternative for addressing the antimicrobial resistance (AMR) problem and minimizing the negative effects of antibiotics on the host’s m

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Publication Date
Tue Dec 31 2024
Journal Name
Journal Of Soft Computing And Computer Applications
Enhancing Image Classification Using a Convolutional Neural Network Model
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In recent years, with the rapid development of the current classification system in digital content identification, automatic classification of images has become the most challenging task in the field of computer vision. As can be seen, vision is quite challenging for a system to automatically understand and analyze images, as compared to the vision of humans. Some research papers have been done to address the issue in the low-level current classification system, but the output was restricted only to basic image features. However, similarly, the approaches fail to accurately classify images. For the results expected in this field, such as computer vision, this study proposes a deep learning approach that utilizes a deep learning algorithm.

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