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Effects of Ionized Water on Certain Egg Quality Traits and the Levels of Proteins and Enzymes in the Blood of the Japanese Quail Coturnix japonica
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Objective: This experiment was conducted to study the effects of ionized water on certain egg quality traits and the levels of proteins and enzymes in the blood of the Japanese quail Coturnix japonica . Materials and Methods: One hundred 42-day-old quail were randomly distributed among five treatment groups with four replicates for each group. The following treatments were used: T1 (control): The birds were provided normal water, T2: The birds were provided alkaline water (pH = 8), T3: The birds were provided alkaline water (pH = 9), T4: The birds were provided acidic water (pH = 6) and T5: The birds were provided acidic water (pH = 5). A Complete Randomized Design (CRD) was used to investigate the effects of the studied treatments on different traits. Results: Significant (p<0.05) differences in the total mean length and width of the egg and shell thickness were observed between treatments, T2 and T4 surpassed the other treated groups in egg length, at values of 32.12 and 32.27 mm, respectively. However, T2 and T3 produced the greatest egg widths, which were 25.44 and 25.38 mm, respectively. However, T2 produced the highest mean shell thickness of 0.25 mm. On the other hand, T3 produced the highest blood protein levels compared with the other treated groups, whereas T1 produced the highest blood enzyme levels in this study. A pH of 8 or 9 in drinking water resulted in the best egg quality traits and protein and enzyme levels in the blood. Alkaline and acidic water may provide an effective, safe, non-toxic and relatively inexpensive treatment to produce the best egg quality traits and protein and enzyme levels. Conclusion: The inclusion of alkaline and acidic water has beneficial effects on Japanese quail production and may be considered a low-cost option to improve general production parameters.

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Publication Date
Thu Aug 01 2013
Journal Name
Biochemistry
Mechanistic Insights from the Binding of Substrate and Carbocation Intermediate Analogues to Aristolochene Synthase
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Publication Date
Tue Jan 10 2017
Journal Name
Assiut J. Agric. Sci.
The response of white eggplant plants to foliar application with boron and potassium silicate
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Publication Date
Sat Jan 02 2021
Journal Name
Al-qadisiyah Journal For Engineering Sciences
Improving the Moisture Damage Resistance of HMA by Using Ceramic Fiber and Hydrated Lime
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The Moisture damage is considered as one of the main challenge for the experts in the field of asphalt pavement design. The aims of the present study is to modify moisture resistance of the asphalt concrete by utilizing ceramic fibers as a type of reinforcement incorporated with hydrated lime. For this purpose, a penetration grade of the asphalt cement (40-50) was utilized as a binder with an aggregate of the maximum nominal size of 12.5mm and mineral filler limestone dust. A series of specimens has been fabricated by utilizing 0.50, 1.0, 1.5, and 2.0 percentages of ceramic fibers. For each of these contents, another subsequent group of specimens with hydrated lime with 0.0, 1.0, 1.5, and 2.0 percentages were moulded. For the additi

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Publication Date
Sun Oct 19 2025
Journal Name
Lecture Notes In Networks And Systems
The Effect of Skill and Physical Exercises Using Smart Virtual Reality for Volleyball Players
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Publication Date
Tue Dec 05 2023
Journal Name
Baghdad Science Journal
An Observation and Analysis the role of Convolutional Neural Network towards Lung Cancer Prediction
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Lung cancer is one of the most serious and prevalent diseases, causing many deaths each year. Though CT scan images are mostly used in the diagnosis of cancer, the assessment of scans is an error-prone and time-consuming task. Machine learning and AI-based models can identify and classify types of lung cancer quite accurately, which helps in the early-stage detection of lung cancer that can increase the survival rate. In this paper, Convolutional Neural Network is used to classify Adenocarcinoma, squamous cell carcinoma and normal case CT scan images from the Chest CT Scan Images Dataset using different combinations of hidden layers and parameters in CNN models. The proposed model was trained on 1000 CT Scan Images of cancerous and non-c

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Publication Date
Wed Oct 07 2020
Journal Name
Indian Journal Of Forensic Medicine &amp; Toxicology
Synthesis and Study the Biological Activity of New Heterocyclic Compounds Derived From Hydrazide Derivatives
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Publication Date
Mon Dec 01 2025
Journal Name
Journal Of University Of Anbar For Pure Science
Mobile ad hoc network wireless security: problems, solutions, and application: state-of-the-art
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Publication Date
Sun Jun 01 2014
Journal Name
Baghdad Science Journal
Producing Ceramic Water Purifiers Made Of Iraqi Bentonite Type (Bpl1)
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In this study, ceramic purifier (CP) was produced from a mixture of Iraqi raw materials. This ceramic mixture was prepared using Bentonite as a Clay, Porcelanite as a Silica, and Limestone as a flux. The produced ceramic filter was formed by semi-dry compressing method and was fired at 1200 C?. Physical properties of the produced CP were measured. A hydraulic test rig was constructed to study the hydraulic conductivity of the produced CP. The average hydraulic conductivity of the produced CP was 55 times that of commercial types of ceramic filters. The mineral composition of the produced ceramics was found by X-Ray tests. Tests results showed that all of the produced ceramics filters composed mainly of low Cristobalte and Tridoymite in addi

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Publication Date
Sun Jan 01 2023
Journal Name
Aip Conference Proceedings
Osmotically assisted reverse osmosis (OARO) for desalination of brackish water
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Publication Date
Wed Oct 24 2018
Journal Name
Journal Of Planner And Development
Analytical Perspective of Baghdad Urban Water Front Land Use Utilization
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