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Preparing a Compound of New Nanoparticles of Lactam, PE to Improve Their Specifications
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يدور هذا البحث حول خواص البولي ايثيلين (PE) باستخدام اللاكتام مع مركبات أكسيد النانو المعدنية المستخرجة من نبات (القرنفل) وهي براعم زهرة شجرة القرنفل كمثبت وعامل اختزال . حيث يستقر أكسيد النانو ويغطي البوليمر الطبيعي. الهدف من الدراسة هو أن أكسيد النانو يؤدي أفضل ترابط للمركبات المحضرة ، بسبب زيادة مساحة السطح ، وبالتالي القدرة على الارتباط بالبوليمر المحضر. والقدرة على الثبات الإلكتروني بسبب كثرة الروابط مما يسمح بتوزيع الشحنة الإلكترونية ثم تشتيتها خارج سطح البوليمر مما يحسن من خواص البوليمر ويجعله مادة صديقة للبيئة يسهل استخدامها تقنية مرتبطة بالصب. بحيث لا يضر بصحة الإنسان والكائنات الحية الأخرى. خلصت الدراسة إلى أنه تم تحضير جزيئات أكسيد الزنك النانوية من مصادر نباتية طبيعية ذات منتج عالي لاستخدامها كمحفز لتحضير المونومرات المهمة صناعياً ، كما تمت إضافة بوليمر لاكتام في وجود أكسيد الزنك المستخرج من النباتات (القرنفل). بوليمر اصطناعي يتحلل عندما يستهلكه الإنسان. تم تمييز جزيئات الأكسيد النانوية والمونومرات والبوليمرات باستخدام طرق التحليل الطيفي. وأشار تحليل FTIR و TGA وباستعمال حيود الأشعة السينية (XRD) والمسح المجهري الإلكتروني (SEM) والفحص المجهري للقوة الذرية، أن البوليمر الناتج عبارة عن مادة متجانسة ذات وزن جزيئي مرتفع مطعمة بمقاييس نانوية عالية الجودة.

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Publication Date
Tue Oct 04 2022
Journal Name
Azerbaijan Medical Journal
Ultrasonic fetal Doppler and growth indices and their relation to immediate neonatal outcomes in different severities of maternal anemia
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Doppler assessment may lead to intervention that reduces the risk of fetal brain damage. Aim of thestudy: to assess the relation between ultrasonic hemodynamic Doppler indices of middle cerebral and umbilical arteries (PI, RI), growth indices to immediate neonatal outcomes (weight, head & abdominal circumference, APGAR scores at 1 and 5 minutes and neonatal unit admission) in women with mild, moderate and severe anemia during pregnancy. Present study is a clinical prospective study carried out in Al-Elwiya Maternity Teaching Hospital during (January-Jun) 2019, all anemic pregnant women presented to Obstetrical wards in hospitals for emergency cesarean section were the study population. The final sample selected was 120 pregnant women. Ultra

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Publication Date
Mon Oct 28 2019
Journal Name
Periodicals Of Engineering And Natural Sciences (pen)
Kinetic profile of silver and zinc oxide nanoparticles by intraperitoneal injection in mice , a comparative study
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Publication Date
Thu Feb 01 2018
Journal Name
Applied Energy
Solidification enhancement of PCM in a triplex-tube thermal energy storage system with nanoparticles and fins
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Publication Date
Mon Jul 01 2024
Journal Name
Baghdad Science Journal
Modification on Ciprofloxacin Moiety to Synthesize Some New Derivatives with Screening Antibacterial Activity
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أن إحدى اكبر مشاكل الصحة العالمية هي ظهور مقاومة الميكروبية للأدوية الشائعة لذلك هناك حاجة ملحة لمضادات جرثومية جديدة ذات نشاط أحيائي معزز .في هذا الدراسة, تم تحضير خمسة مشتقات جديدة من الكينولين  A,B,C,D  وEكمضادات جرثومية. تم فحص بنية المركبات المحضرة باستخدام  UV light , FTIR NMR  . تم استخدام طريقة الانتشار بالحفر في الطبق لاختبار الخصائص المضادة للبكتريا للمركبات المحضرة في المختبر ضد نوعين من البكتريا الموجبة

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Publication Date
Sun Jan 01 2017
Journal Name
8th International Conference On Agricultural, Environment, Biology And Medical Sciences
Description new species from leafhopper belongs to genus Neoalitarus Distant, 1918 in Iraq
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Publication Date
Wed Jul 02 2025
Journal Name
Advances In Nonlinear Variational Inequalities
Suggesting Approximation and Exact Algorithms to Solve New Tri-Criteria Machine Scheduling Problems
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This study presents the multi criteria single-machine model. The machine scheduling problem (MSP) for ntasks on a single machine involves minimizing a function of three criteria: total completion time (C_j),maximum earliest (E_max), and tardiness (〖ΣT〗_j), This is an NP-hard issue. Within this work's theoretical section, we present the mathematical formulation of The presented topic thenhighlights the usefulness of the dominance rule (DR), which may be used to develop effective solutions. Whilein the practical part, one of the important exact methods; The proposed MSP tricriteria are solved by applyingthe Branch and Bound (BAB) method, which finds a set of efficient solutions for 1//F(ΣC_j ,ΣT_j ,E_max) upto n=100 jobs. The BAB appro

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Publication Date
Mon Jan 01 2018
Journal Name
Image And Video Technology: 8th Pacific-rim Symposium
A New Scheme for QoE Management of Live Video Streaming in Cloud Environment
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Publication Date
Tue Oct 25 2022
Journal Name
Aip Conference Proceedings
A new class of K-uniformly starlike functions imposed by generalized Salagean’s operator
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Recently, numerous the generalizations of Hurwitz-Lerch zeta functions are investigated and introduced. In this paper, by using the extended generalized Hurwitz-Lerch zeta function, a new Salagean’s differential operator is studied. Based on this new operator, a new geometric class and yielded coefficient bounds, growth and distortion result, radii of convexity, star-likeness, close-to-convexity, as well as extreme points are discussed.

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Publication Date
Fri Mar 01 2024
Journal Name
Journal Of Applied Spectroscopy
Spectrophotometric Method for Determination of Cu(II) Using a New Schiff Base Ligand
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The Cu(II) was found using a quick and uncomplicated procedure that involved reacting it with a freshly synthesized ligand to create an orange complex that had an absorbance peak of 481.5 nm in an acidic solution. The best conditions for the formation of the complex were studied from the concentration of the ligand, medium, the eff ect of the addition sequence, the eff ect of temperature, and the time of complex formation. The results obtained are scatter plot extending from 0.1–9 ppm and a linear range from 0.1–7 ppm. Relative standard deviation (RSD%) for n = 8 is less than 0.5, recovery % (R%) within acceptable values, correlation coeffi cient (r) equal 0.9986, coeffi cient of determination (r2) equal to 0.9973, and percentage capita

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Publication Date
Sat Apr 15 2023
Journal Name
Journal Of Robotics
A New Proposed Hybrid Learning Approach with Features for Extraction of Image Classification
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Image classification is the process of finding common features in images from various classes and applying them to categorize and label them. The main problem of the image classification process is the abundance of images, the high complexity of the data, and the shortage of labeled data, presenting the key obstacles in image classification. The cornerstone of image classification is evaluating the convolutional features retrieved from deep learning models and training them with machine learning classifiers. This study proposes a new approach of “hybrid learning” by combining deep learning with machine learning for image classification based on convolutional feature extraction using the VGG-16 deep learning model and seven class

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