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Numerical Analysis of the Stability of Bridge Foundation Pile under Earthquakes Effect
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This study was chosen because of the entry of our regions into the seismic zone recently, where Diyala governorate was hit by the Halabja earthquake in 2017 by 7.3Mw. Therefore, the impact of earthquakes will be studied on the AL-Mafraq bridge foundations piles located in Iraq- east of Baghdad in Diyala Governorate and the extent of its resistance to the Halabjah, EL-Centro, and Kobe earthquakes with acceleration 0.1g, 0.34g, and 0.58g respectively. After modeling and performing the analysis by using Midas Gts-Nx software, the settlement (mm) results at nine nodes (four nodes for the pile cap and five nodes for the piles) were obtained for each of Halabjah, EL-Centro, and Kobe earthquakes to know the resistance of the bridge foundation and which intensity leads to the failure happen. After conducting the analysis, I found the maximum settlement is equal to 11.95 mm with a time of 443 sec at node 3 resulting from the Halabjah seismic, and 49.47 mm from the EL-Centro seismic with a time of 254 sec at node 3. They are within the allowable limits of settlements, but the maximum settlement resulting from the Kobe earthquake equals 359.9 mm with a time of 565 sec at node 3. So, the Kobe earthquake led to failure in the pile's foundation Halabjah earthquake and Centro did not affect the stability of the pile's foundation, Based on Terzaki's theory 1943.

 

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Publication Date
Fri Dec 01 2023
Journal Name
Applied Energy
Deep clustering of Lagrangian trajectory for multi-task learning to energy saving in intelligent buildings using cooperative multi-agent
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The intelligent buildings provided various incentives to get highly inefficient energy-saving caused by the non-stationary building environments. In the presence of such dynamic excitation with higher levels of nonlinearity and coupling effect of temperature and humidity, the HVAC system transitions from underdamped to overdamped indoor conditions. This led to the promotion of highly inefficient energy use and fluctuating indoor thermal comfort. To address these concerns, this study develops a novel framework based on deep clustering of lagrangian trajectories for multi-task learning (DCLTML) and adding a pre-cooling coil in the air handling unit (AHU) to alleviate a coupling issue. The proposed DCLTML exhibits great overall control and is

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Publication Date
Fri Dec 01 2023
Journal Name
Materials Today Sustainability
Structure and performance of polyvinylchloride microfiltration membranes improved by green silicon oxide nanoparticles for oil-in-water emulsion separation
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Publication Date
Sat Sep 01 2018
Journal Name
Iraqi Journal Of Science
Estimate Antimicrobial activity and Anti-biofilm formation of bark Cinnamomum zeylanicum on Klebsiella pneumoniae isolated from Urinary Tract Infections
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Publication Date
Tue Jan 01 2019
Journal Name
Asian Journal Of Chemistry
Oxidative Stress Status in Sera and Saliva of Type 2 Diabetic Iraqi Patients with and without Proliferative Diabetic Retinopathy
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The present study aimed to look for the differences in the oxidative stress status in sera and saliva samples of type 2 diabetic Iraqi patients with and without proliferative diabetic retinopathy. As well as to look for the possibility whether this status can be measured in saliva as an alternative sample to that of serum, hence to achieve that total oxidant status, total antioxidant status and oxidative stress index were measured in both sera and saliva samples of two groups of patients with type 2 diabetes mellitus and the healthy individuals. Upon the comparison between patients without proliferative diabetic retinopathy and the control sample the results showed presence of a significant increase (p < 0.05) of total oxidant st

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Publication Date
Sun Aug 01 2021
Journal Name
Eurasian Chemical Communications
New sensitive turbidimetric method for determination of losartan potassium in pharmaceutical formulations using flow injection combined with homemade turbidimeter
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Publication Date
Mon Mar 02 2026
Journal Name
Drug Development &amp; Registration
Comparative Hepatoprotective Effects of Dapagliflozin to Silymarin Against Cyclophosphamide-Induced Liver Injury in Rats: Biochemical, Antioxidants and Histopathological Studies
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Introduction. Hepatotoxicity is primarily-caused by oxidative stress and mitochondrial dysfunction; and, it is the principal factor that restricts the clinical efficacy of cyclophosphamide (Cpd), which is a chemotherapeutic drug that is frequently-used. The antioxidant capabilities have been demonstrated by dapagliflozin (Dapa), which is an inhibitor of sodium-glucose co-transporter-2 (SGLT2). Silymarin (Sil) is a chemical that is extracted from milk thistle. Researches have demonstrated that silymarin has hepatoprotective and antioxidant properties.

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Publication Date
Tue Sep 02 2025
Journal Name
Chemistry &amp; Biodiversity
Synthesis, In Silico, and Biological Evaluation of Non‐Hydroxamate Benzoic Acid–Based Derivatives as Potential Histone Deacetylase Inhibitors (HDACi)
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ABSTRACT<p>Unregulated epigenetic modifications, including histone acetylation/deacetylation mediated by histone acetyltransferases (HATs) and histone deacetylases (HDACs), contribute to cancer progression. HDACs, often overexpressed in cancer, downregulate tumor suppressor genes, making them crucial targets for treatment. This work aimed to develop non‐hydroxamate benzoic acid–based HDAC inhibitors (HDACi) with comparable effect to the currently four FDA‐approved HDACi, which are known for their poor solubility, poor distribution, and significant side effects. All compounds were structurally verified using FTIR, <sup>1</sup>HNMR, <sup>13</sup>CNMR, and mass spectrometry. In silico ana</p> ... Show More
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Publication Date
Sun Jun 30 2024
Journal Name
International Journal Of Intelligent Engineering And Systems
Development of Intelligent Control Strategy for an Anesthesia System Based on Radial Basis Function Neural Network Like PID Controller
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Publication Date
Sat Jan 24 2026
Journal Name
Arab World English Journal
AI in Literary and Non-Literary Discourse: A Systematic Review of Human and Machine Authorship, and Style and Perception
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Artificial intelligence has quickly invaded the realms of both creative and information-based writing, raising new questions about human originality, authorship and style. Despite its ability to produce writings that are coherent and stylistically varied, there are still concerns over the uniqueness and cultural neutrality of AI programs such as ChatGPT. This review covers significant recent advancements with artificial intelligence applications in both the literary and non-literary fields. It analyzes 35 recent studies contrasting authorship and creativity, or stylistic considerations and impressions, between human and AI texts. These studies range from poetic and fictional writing through essay, news article and academic publicati

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Publication Date
Fri Sep 01 2023
Journal Name
Colloids And Surfaces A: Physicochemical And Engineering Aspects
Integration of deep eutectic solvent and activated carbon in emulsion liquid membrane system for soap removal from crude biodiesel
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