يهدف البحث إلى تحضير سلسلة جديدة من معقدات العناصر الانتقالية ثنائية التكافؤ (الكوبلت, النيكل, النحاس, الخارصين ,الكادميوم والزئبق) مع المركبات الحلقية غير المتجانسة (L1) و(L2) والمشتقة من تفاعل 2,1- فينيلين ثنائي امين وسايكلوهكسان -2,1-ثنائي امين مع المركب الوسطي (Pr) على التوالي. شخصت المعقدات ذات الصيغة العامة :- [M(L1or L2)Cl2] بواسطة طيف الرنين النووي المغناطيسي البروتوني والكربوني وقياسات الأشعة تحت الحمراء والطيف الإلكتروني ودرجات الانصهار و التوصيلية المولارية و التحليل الدقيق للعناصر C.H.N.والنسبة المئوية للفلز %M والحساسية المغناطيسية. استنادا إلى النتائج المعطاه للدراسات المذكورة فقد تم اقتراح الشكل ثماني سطوح للمعقدات المحضرة من خلال ارتباط ذرات النتروجين الاربعة لمجموعة (NH) في المركبات الحلقية غير متجانسة (L1) و(L2) مع الأيونات الفلزية اضافة الى ايوني الكلور. ثم تم تحضير معقد النحاس النانويAuNPs −[CuL1Cl2] من خلط محلول معقد النحاس مع محلول الذهب النانوي(AuNPs) ، وتم إجراء التشخيص باستخدام طرق مختلفة ، بما في ذلك FTIR و UV-Vis و FESEM. تم اختبار قدرة التثبيط للمركبات المحضرة بما في ذلك معقد النحاس النانوي، ضد نوعين من البكتيريا المختارة (Escherichia coli) والموجبة (Staphylococcus aurous) بتقنية الانتشار ، حيث أظهرت النتائج أن قدرة المركب النانوي على تثبيط كلا النوعين من البكتيريا كانت أكبر من المركبات الحلقية غير المتجانسة(الليكاندات) ومعقد النحاس الحر, كما تم اختبار معقد النحاس الحر ومعقد النحاس النانوي على خط خلايا سرطان الرئة (A456) وخط الخلايا الطبيعي (REF) والمقارنة بين المعقدين حيث اظهر معقد النحاس النانوي نتائج ممتازة في امكانية اختباره مستقبلا كعلاج لسرطان الرئة
Problem: Cancer is regarded as one of the world's deadliest diseases. Machine learning and its new branch (deep learning) algorithms can facilitate the way of dealing with cancer, especially in the field of cancer prevention and detection. Traditional ways of analyzing cancer data have their limits, and cancer data is growing quickly. This makes it possible for deep learning to move forward with its powerful abilities to analyze and process cancer data. Aims: In the current study, a deep-learning medical support system for the prediction of lung cancer is presented. Methods: The study uses three different deep learning models (EfficientNetB3, ResNet50 and ResNet101) with the transfer learning concept. The three models are trained using a
... Show MoreSteps were taken to obtain the Kojic acid crystals from local fungal isolation A. flavus WJF81 by separating the fermentation products from the fungus mycelium from the production plant at the centrifuge at a speed of 5000 cycles for 10 minutes. The extraction was followed by ethyl acetate then supernatant concentrate by using rotary evaporator, and dried with heat oven 37ºC. Long, yellowish, pristine acid crystals were obtained that examined the optical microscope with a magnification force of 10x and 40x. The melting point of kojic acid was determined between 152.9-153.5 °C Results of the diagnosis of Kojic acid by applying High pressure liquid chromatography HPLC technique showed that the acid was at one peak, which was close to the
... Show Moreاولاً : اهمية البحث والحاجة اليه :
تعد الطفولة مرحلة مهمة من مراحل حياة الانسان لانها ثروة مجتمعاتنا ومستقبلها وهي تمثل اللبنة الاولى في تركيب المجتمعات اذا ما صحلت صلح المجتمع وأذا ما فسدت فسد ذلك المجتمع ، لذا فأن تنمية القوى العقلية والبدنية والنفسية للطفل لمراحل نموه المختلفة هي مرحلة مهمة وخطيرة في الوقت ذاته لكي تسهم في بناء شخصيتهم في المستقبل واستثمار طاقاتهم من اجل تطوير وخدمة مجت
... Show MoreThe conflicting duality of goodness and evil has a psychological effect on the life of humans, the nature of human beings is originally goodness whereas the tendency of evil flows from the society, therefore the first who found a meaning of evil on earth is kabeel when he quarreled fiercly with his brother who carried in himself all the meanings of goodness and toierance.
In this paper of mine we find that Robaayat Al khayam carries a poetic content of a special meaning in that every expression reflects semantic relationship (the good played a part in the formation lies with and the evil) of which its foundation lies with the human personality (soul), and he (the poet) a scribes it to matters of
... Show MoreA study of non-diatom algal species composition in twelve sites from Greater Zab River path within
Erbil Province, was carried out from April 2021 to January 2022 with monthly sample collection in twelve studied sites. Among them site 4,5,6,7 and 9 are the first for algal study in this area. The 112 different species of algae belong to 33 genera, 25 families, 13 orders and 4 divisions have been identified. The predominant genera included Spirogyra and Cosmarium 17, 8 taxa respectively. 13 taxa were new recorded to Iraqi
Kurdistan algal flora and 9 of them were new recorded to Iraqi algal flora: Botryosphaerella sudetica, Muriella magna, Gloeotaenium loitlesbergianum, Apiocystis brauniana, Anabaena oscillarioides, C. distentum
Gompharena globosa L., Irisene herbistii Hook. ex Lindl. The results of this study showed that the anatomical characters of the stems epidermis and the indumentum covering different parts of the plant have an important anatomical characters such as the cell wall shape of ordinary epidermal cells also the shape and type of stomata, their presence in some taxa and abscent in others. The hairs also differentiated by their shapes and them types, either they glandular or eglandular also they are different in distribution between the different taxa or in the some taxon.
The pancreatic ductal adenocarcinoma (PDAC), which represents over 90% of pancreatic cancer cases,
has the highest proliferative and metastatic rate in comparison to other pancreatic cancer compartments. This
study is designed to determine whether small nucleolar RNA, H/ACA box 64 (snoRNA64) is associated with
pancreatic cancer initiation and progression. Gene expression data from the Gene Expression Omnibus (GEO)
repository have shown that snoRNA64 expression is reduced in primary and metastatic pancreatic cancer as
compared to normal tissues based on statistical analysis of the in Silico analysis. Using qPCR techniques,
pancreatic cancer cell lines include PK-1, PK-8, PK-4, and Mia PaCa-2 with differ
Some maps of the chaotic firefly algorithm were selected to select variables for data on blood diseases and blood vessels obtained from Nasiriyah General Hospital where the data were tested and tracking the distribution of Gamma and it was concluded that a Chebyshevmap method is more efficient than a Sinusoidal map method through mean square error criterion.
يتضمن ھذا البحث تحضير وتشخيص بعض المعقدات الفلزية التي تحوي على ليكاندات مختلطة ل (Amoxicillin)( Axn (و(Picoline-٣) (Pic-٣ (وقد تم دراسة ھذه المعقدات بالطرائق الطيفية (اIشعة تحت الحمراء و اIشعة المرئية –فوق البنفسجية والتوصيلية الموIرية والحساسية المغناطيسية ، ومن نتائج ھذه الدراسات التشخيصية امكن اعطاء الصيغة المقترحة العامة لھذه المعقدات و كاIتي
The cancer is one of the biggest health problems that facing the world . And the bladder cancer has a special place among the most spread cancers in Arab countries specially in Iraq and Egypt(2) . It is one of the diseases which can be treated and cured if it is diagnosed early . This research is aimed at studying the assistant factors that diagnose bladder cancer such as (patient's age , gender , and other major complains of hematuria , burning or pain during urination and micturition disorders) and then determine which factors are the most effective in the possibility of diagnosing this disease by using the statistical model (logistic regression model) and depending on a random sample of (128) patients . After
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