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Aesthetic relations and their role in achieving sensory excitement between interior and exterior spaces
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The current research deals with the study of aesthetic relations in the field of interior design and the extent to which its mechanisms achieve sensory stimulation between the internal and external spaces, to generate a continuous visual connection that is an extension of it, achieving in turn sensory stimulation for the users of those spaces. The internal and external spaces meet the desired purpose of feeling pleasure and beauty.” The current research aims to “discover the nature of aesthetic relations between the internal and external spaces and the extent to which mechanisms can achieve sensory stimulation in residential spaces.” The first topic included the concept of aesthetic relations, sensory excitement, and perception at the level The relationship between the part and the whole on the one hand, and sensory stimulation and the laws of perceptual organization according to the Gestalt laws on the other hand, while the second topic dealt with the concept of external spaces and internal spaces and their borders, leading to the third topic that dealt with the aesthetic relations between the inside and the outside with applications for global internal spaces of the type (outdoor living room ) for the living space in the residential building in a way that secures closeness to the aesthetic completion of relations and arouses in the recipient a sense of pleasure and attraction, which made the designers emphasize working according to this type of space according to modern technologies of our current era and at the level of material and lighting. The research reached a set of conclusions, which It represented an objective analysis of the aesthetic relationships that make sensory excitement achievable in interior design, including:
1-Aesthetic relations were embodied through unity and repetition in the use of plants that achieve sensory stimulation at the level of the principle of perceptual organization (gestalt), through the principle of convergence between the external and internal spaces by employing green plants to enhance belonging to each other, as well as the principle of convergence in the employment of environmentally friendly materials in the furnishing elements. to enhance unity.
2-Visual equilibrium contributes to achieving sensory excitement through varying the degree of transparency and what it achieves of openness through continuity and an extension of visual penetration between the external and internal spaces and in a smooth manner, by employing transparent materials such as glass in the facades, walls and barriers overlooking the outside in a continuous manner.

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Publication Date
Tue Sep 03 2019
Journal Name
Rawal Medical Journal
Evaluation of low back pain among female obese patients and associated risk factors
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Background: obesity is nowadays a pandemic condition. Obese subjects are commonly characterized by musculoskeletal disorders and particularly by non-specific low back pain (LBP). However, the relationship between obesity and LBP remain to date unsupported by an objective measurement of the mechanical behavior of spine and it is morphology in obese subjects. . Objectives: To identify the relationship between obesity and LBP regarding (height, weight, sleeping, chronic diseases, smoking, and steroid). Method: A cross-sectional study was conducted from the first of January 2016 to January 2018 in obe

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Publication Date
Tue Jun 18 2024
Journal Name
2023 Asee Annual Conference & Exposition Proceedings
Study of Artificial Intelligence Computing Devices for Undergraduate Computer Science and Engineering Labs
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Publication Date
Sun Dec 01 2024
Journal Name
International Education And Culture Studies (iecs)
The Impact of Virtual Trips on Lateral Thinking and Middle School Student’s Achievement
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Publication Date
Fri Oct 10 2025
Journal Name
Pharmakeftiki
Genetic polymorphisms and adverse effects that affect the natalizumab clinical response: a review
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The clinical response to natalizumab in patients with multiple sclerosis (MS) may be significantly influenced by genetic variation. Mutations in genes related to the drug’s mechanism of action or the pathological milieu of MS can contribute substantially to interindividual differences in treatment outcomes. This review aims to provide an overview of previous studies that have examined genetic polymorphisms associated with the clinical efficacy of natalizumab. A systematic literature search was conducted across the PubMed, Google Scholar, and ResearchGate databases using targeted keywords relevant to the subject matter. Several genetic loci were found to be linked to natalizumab responsiveness, including the integrin subunit alpha 4 (ITGA4

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Publication Date
Thu Sep 18 2025
Journal Name
Sustainable Engineering And Innovation
Using fruit fly and dragonfly optimization algorithms to estimate the Fama-MacBeth model
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This research proposes the application of the dragonfly and fruit fly algorithms to enhance estimates generated by the Fama-MacBeth model and compares their performance in this context for the first time. To specifically improve the dragonfly algorithm's effectiveness, three parameter tuning approaches are investigated: manual parameter tuning (MPT), adaptive tuning by methodology (ATY), and a novel technique called adaptive tuning by performance (APT). Additionally, the study evaluates the estimation performance using kernel weighted regression (KWR) and explores how the dragonfly and fruit fly algorithms can be employed to enhance KWR. All methods are tested using data from the Iraq Stock Exchange, based on the Fama-French three-f

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Publication Date
Wed Mar 01 2023
Journal Name
Journal Of Engineering
Comparative Evaluation of Roundabout Capacities Methods for Single-lane and Multi-lane Roundabout
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A roundabout is a highway engineering concept meant to calm traffic, increase safety, reduce stop-and-go travel, reduce accidents and congestion, and decrease traffic delays. It is circular and facilitates one-way traffic flow around a central point. The first part of this study evaluated the principles and methods used to compare the capacity methods of roundabouts with different traffic conditions and geometric configurations. These methods include gap acceptance, empirical, and simulation software methods. Previous studies mentioned in this research used various methods and other new models developed by several researchers. However, this paper's main aim is to compare different roundabout capacity models for acceptabl

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Publication Date
Fri Jun 30 2023
Journal Name
Pakistan Heart Journal
Workplace Violence and Nursing Job Performance at Pediatric Emergency Departments: A Comparative Study
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Publication Date
Mon Mar 08 2021
Journal Name
Baghdad Science Journal
Synthesis and some of the electrical properties of the polymer Mosul poly Berrol
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Thin films were prepared from poly Berrol way Ketrrukemaaih pole of platinum concentrations both Albaarol and salt in the electrolytic Alastontrel using positive effort of 7 volts on the pole and the electrical wiring of the membrane record

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Publication Date
Mon Jul 01 2024
Journal Name
Journal Of Engineering
Efficient Intrusion Detection Through the Fusion of AI Algorithms and Feature Selection Methods
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With the proliferation of both Internet access and data traffic, recent breaches have brought into sharp focus the need for Network Intrusion Detection Systems (NIDS) to protect networks from more complex cyberattacks. To differentiate between normal network processes and possible attacks, Intrusion Detection Systems (IDS) often employ pattern recognition and data mining techniques. Network and host system intrusions, assaults, and policy violations can be automatically detected and classified by an Intrusion Detection System (IDS). Using Python Scikit-Learn the results of this study show that Machine Learning (ML) techniques like Decision Tree (DT), Naïve Bayes (NB), and K-Nearest Neighbor (KNN) can enhance the effectiveness of an Intrusi

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Publication Date
Thu Aug 07 2025
Journal Name
Journal Of Image And Graphics
Analysis Evolution of Image Caption Techniques: Combining Conventional and Modern Methods for Improvement
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This study explores the challenges in Artificial Intelligence (AI) systems in generating image captions, a task that requires effective integration of computer vision and natural language processing techniques. A comparative analysis between traditional approaches such as retrieval- based methods and linguistic templates) and modern approaches based on deep learning such as encoder-decoder models, attention mechanisms, and transformers). Theoretical results show that modern models perform better for the accuracy and the ability to generate more complex descriptions, while traditional methods outperform speed and simplicity. The paper proposes a hybrid framework that combines the advantages of both approaches, where conventional methods prod

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