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Resveratrol treatment alters lung microbiome in the murine ovalbumin-induced asthma model by increasing mucus-degrading <i>Akkermansia muciniphila</i>.
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Abstract<p>Asthma is a chronic inflammatory disease that involves the narrowing of the lung airways and excessive mucus production. Resveratrol (RES), a polyphenolic stilbene, is known to control asthmatic attacks via different molecular mechanisms. However, no studies have examined the effect of resveratrol on the microbiome in the ovalbumin (OVA)-induced asthma mouse model. In this study, we induced asthma in BALB/c mice by injecting OVA followed by 7 days treatment with RES. Plethysmography showed that the expiratory resistance in the lung tissue was significantly reduced in the RES treated group, while mean volume, peak expiratory flow, and frequency of respiration was increased. Histopathological examination of the lungs of the RES-treated group showed significant reduction in inflammatory cell infiltration and led to restoration of normal lung tissue architecture. In addition, there were significant increases in the expression of the genes encoding tight-junction molecules (claudin-1 and cadherin-18) in the RES-treated group. We performed 16S rRNA microbial analysis of cecal flushes and pulmonary tissues, which showed that RES treatment alters the gut microbiome by significantly increasing the level of Bacteroides acidifaciens spp. compared to disease controls. In addition, there was a significant increase in Akkermansia muciniphila (AM) species within the lungs after RES treatment. AM is a gram-negative, non-spore-forming bacterium known to induce mucus degradation. Since asthma is characterized by an increase in mucus in the lungs, we concluded that RES improves asthma in OVA-induced mouse model by significantly increasing AM and preventing mucus build-up in the lungs.</p>
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Publication Date
Wed Apr 01 2026
Journal Name
كلية العلوم السياسية / جامعة الموصل / مؤتمرها العلمي الدولي الخامس والسنوي
The state's Orientation towards using sustainable electrical energy with the contribution of Artificial Intelligence (AI) / Geothermal energy As a model / contributes to strengthening the building of a future the state's strength "A study in political geography"
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المستخلص: هناك مشكلة تعاني منها الدولة وهي الأعتماد على الطاقات التقليدية الملوثة Abstract: The country suffers from a problem which is the reliance on traditional polluting and non-renewable energies and the failure to discover and exploit sustainable sources such as geothermal energy. The research hypothesis is whether the modern state’s orientation towards exploiting a modern energy source such as geothermal energy contributes in some way to achieving another source of energy and benefiting from it to enhance the building of a new type of state power from buried energy sources? And does artificial intelligence technology contribute to solving a specific problem by exp

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Publication Date
Wed Jan 01 2020
Journal Name
Journal Of Xi'an University Of Architecture & Technology
The Effect of (Landa) Model on Acquiring Grammatical Concepts Upon His Request to the College of Administration and Economics University of Bagdad
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The current research aims to identify the impact of the (Landa) model on acquiring grammatical concepts among students of the College of Administration and Economics, University of Baghdad, and to achieve the research goal, the researcher has set the following hypotheses: There are no statistically significant differences at the level of significance (0.05) between the average degrees Students of the experimental group who studied the Arabic language according to the (Landa) model and the marks of the students of the control group who studied the same subject in the usual way in the post test, there are no statistically significant differences at the level of significance (0.05) in the average differences between the test scores before and

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Publication Date
Fri Dec 01 2017
Journal Name
Journal Of Economics And Administrative Sciences
Comparing the Sequential Nonlinear least squared Method and Sequential robust M method to estimate the parameters of Two Dimensional sinusoidal signal model:
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Estimation of the unknown parameters in 2-D sinusoidal signal model can be considered as important and difficult problem. Due to the difficulty to find estimate of all the parameters of this type of models at the same time, we propose sequential non-liner least squares method and sequential robust  M method after their development through the use of sequential  approach in the estimate suggested by Prasad et al to estimate unknown frequencies and amplitudes for the 2-D sinusoidal compounds but depending on Downhill Simplex Algorithm in solving non-linear equations for the purpose of obtaining non-linear parameters estimation which represents frequencies and then use of least squares formula to estimate

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Publication Date
Sat Feb 01 2020
Journal Name
Journal Of Economics And Administrative Sciences
Evaluation of banking performance according to the CAMELS model An applied study of Al-Mansour Investment Bank for the period 2014-2018.
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The banking sector has a significant impact on the economic growth of the country, and the importance of this sector must assess its financial performance from time to time, to measure the situation related to money for each bank and how to put the supervision of the efficiency of the full. The research aims at evaluating the financial performance according to the elements of the CAMELS model, which including capital adequacy, asset quality, management efficiency, profitability, liquidity, and market risk sensitivity. The research included the study of Al-Mansour Investment Bank during the period from 2014 to 2018. The base capital ratio was used to total assets to measure capital adequacy The proportion of investments to total a

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Publication Date
Wed Mar 30 2022
Journal Name
Journal Of Economics And Administrative Sciences
Using Quadratic Form Ratio Multiple Test to Estimate Linear Regression Model Parameters in Big Data with Application: Child Labor in Iraq
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              The current paper proposes a new estimator for the linear regression model parameters under Big Data circumstances.  From the diversity of Big Data variables comes many challenges that  can be interesting to the  researchers who try their best to find new and novel methods to estimate the parameters of linear regression model. Data has been collected by Central Statistical Organization IRAQ, and the child labor in Iraq has been chosen as data. Child labor is the most vital phenomena that both society and education are suffering from and it affects the future of our next generation. Two methods have been selected to estimate the parameter

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Publication Date
Wed Apr 15 2026
Journal Name
Experimental And Theoretical Nanotechnology
Utilization of multitemporal satellite imagery and forest canopy density (FCD) model for analyzing changes in forest density in Mosul province, Iraq
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Forest cover in Mosul Province experienced significant changes following the 2014 occupation. These changes can be effectively analyzed using multitemporal remote sensing imagery. This study aims to evaluate the ability of multi-temporal Landsat 8 images and the Forest Canopy Density (FCD) model to detect changes in forest canopy density in a protected forest in Mosul Governorate during the period from 2014 to 2025. The remote sensing data used in this research are Landsat 8 images captured on March 21, 2014, and April 4, 2025. The method employed is FCD modeling, which produces pixel-level canopy density estimates. The results of the FCD model are then used to analyze changes in canopy density following the occupation. The findings of this

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Publication Date
Wed Jul 08 2015
Journal Name
The Iraqi Postgraduate Medical Journal
Simultaneous Complete Intracorneal Ring Implantation with Intrapocket Collagen Cross- Linking for Treatment of Keratoconus
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BACKGROUND: Keratoconus is a progressive non inflammatory bilateral (usually asymmetric) ectatic corneal disease characterized by paraxial stromal thinning ,weakening that lead to corneal surface distortion ,vision loss primarily from irregular astigmatism and myopia and secondly from corneal scar. OBJECTIVE: To evaluate visual and refractive outcomes after intracorneal continuous ring (ICCR) implantation combined with intrapocket corneal collagen cross linking in patient with keratoconus. Setting: Eye Specialty Private Hospital, Baghdad, Iraq. METHODS: This study assessed the results of implantation of Myoring ICCR combined with CXL in 40 eyes with KC. Outcome measures include UDVA,CDVA(spectacle correction),refraction, complications and s

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Publication Date
Mon Jan 01 2024
Journal Name
Aip Conference Proceedings
ZnO: MWCNT optical hybrid filter a promising nanomaterial for wastewater treatment and antimicrobial applications
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Publication Date
Mon Mar 29 2021
Journal Name
Journal Of Engineering
Effluent quality assessment of sewage treatment plant using principal component analysis and cluster analysis
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Sewage water is a mixture of water and solids added to water for various uses, so it needs to be treated to meet local or global standards for environmentally friendly waste production. The present study aimed to analyze the new Maaymyrh sewage treatment plant's quality parameters statistically at Hilla city. The plant is designed to serve 500,000 populations, and it is operating on a biological treatment method (Activated Sludge Process) with an average wastewater inflow of 107,000m3/day. Wastewater data were collected daily by the Mayoralty of Hilla from November 2019 to June 2020 from the influent and effluent in the (STP) new in Maaymyrh for five water quality standards, such as (BOD5), (COD), (TSS), (TP)

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Publication Date
Sun Feb 03 2019
Journal Name
Iraqi Journal Of Physics
Impact of thickness and heat treatment on some physical properties of thin Cu2SnS3 films
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Copper tin sulfide (Cu2SnS3) thin films have been grown on glass
substrate with different thicknesses (500, 750 and 1000) nm by flash
thermal evaporation method after prepare its alloy from their
elements with high purity. The as-deposited films were annealed at
473 K for 1h. Compositional analysis was done using Energy
dispersive spectroscopy (EDS). The microstructure of CTS powder
examined by SEM and found that the large crystal grains are shown
clearly in images. XRD investigation revealed that the alloy was
polycrystalline nature and has cubic structure with preferred
orientation along (111) plane, while as deposited films of different
thickness have amorphous structure and converted to polycrystalline

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