The study seeks the relationship between the mathematical-procedural Knowledge and the logical-mathematical intelligence among students at the third stage in mathematics department. To this end, three questions were arisen: what is the level of mathematical-procedural Knowledge among the third stage students in mathematics department regarding their gender? Do male or female students have more logical-mathematical intelligence and are there significant differences base on their gender? What kind of correlation is between the level of mathematical-procedural Knowledge and the logical-mathematical intelligence of male and female students in the third stage in the mathematics department? A sample of (75) male and female students at the third stage in mathematics department were selected from college of education for pure sciences \ University of Baghdad. The researcher has developed two scales: one to measure the mathematical-procedural Knowledge consisted of (8) items, and the other to measure logical-mathematical intelligence composed of (10) items. The findings revealed a correlation relationship between the mathematical-procedural Knowledge and the logical-mathematical intelligence foe sample as a whole. It also found students have logical-mathematical intelligence comparing to the mathematical-procedural Knowledge that showed a low level.
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The energy requirements of corn silage harvesters and the application of precision agricultural techniques are essential for efficient and productive agricultural practices. The article aims to review previous studies on the energy requirements needed for different corn silage harvesting machines, and on the other hand, to present methods for measuring corn silage productivity directly in the field and monitoring it based on microcontrollers and artificial intelligence techniques. The process of making corn silage is done by cutting green fodder plants into small pieces, so special harvesters are used for this, called corn silage harvesters. The purpose of harvesting corn silage is to efficiently collect and store as many digestible nutrien
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In the current endeavor, a new Schiff base of 14,15,34,35-tetrahydro-11H,31H-4,8-diaza-1,3(3,4)-ditriazola-2,6(1,4)-dibenzenacyclooctaphane-4,7-dien-15,35-dithione was synthesized. The new symmetrical Schiff base (Q) was employed as a ligand to produce new complexes comprising Co(II), Ni(II), Cu(II), Pd(II), and Pt(II) metal-ions at a ratio of 2:1 (Metal:ligand). There have been new ligands and their complexes validated by (FTIR), (UV-visible), 1H-NMR, 13C-NMR, CHNS, and FAA spectroscopy, Thermogravimetric analysis (TG), Molar conductivity, and Magnetic susceptibility. The photostabilization technique to enhance the polymer was also used. The ligand Q and its complexes were mixed in 0.5% w/w of polyvinyl chloride in tetrahydrofuran
... Show Moreتُعد القيادة من المواضيع التي نالت اهتماماً كبيراً من لدن الباحثين في مختلف حقول المعرفة، وقد تعاظمت أهمية القيادة الإدارية في الوقت الحاضر نتيجة للتغيرات التي يشهدها العالم اليوم في جميع الميادين، وان نجاح القيادة الإدارية في ظل هذه التغيرات يتطلب قادة ذوي كفاءة عالية للقيام بأدوارهم على أفضل وجه من أجل تحقيق الأهداف الموكلة إليهم.
إن المهمة الأساسية لقادة اليوم تكمن في إحداث انطباع جي
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Solid waste is a major issue in today's world. Which can be a contributing factor to pollution and the spread of vector-borne diseases. Because of its complicated nonlinear processes, this problem is difficult to model and optimize using traditional methods. In this study, a mathematical model was developed to optimize the cost of solid waste recycling and management. In the optimization phase, the salp swarm algorithm (SSA) is utilized to determine the level of discarded solid waste and reclaimed solid waste. An optimization technique SSA is a new method of finding the ideal solution for a mathematical relationship based on leaders and followers. It takes a lot of random solutions, as well as their outward or inward fluctuations, t
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Objective: The objectives of the present study were to evaluate the effectiveness of the instructional intervention
about medical and health knowledge of patients with diabetes mellitus type II.
Methodology: A Quasi- experimental study was carried out in National Center for Diabetes Mellitus/ Almustansria
University, started from 4th January 2012, to 1st April 2012. Non-probability (purposive sample) of (50) diabetes
mellitus type II, who visit National Center for Diabetes Mellitus/ Almustansria University. The study sample is
divided equally into (25) study and (25) control groups. The study group received the instructional intervention.
While the control not exposed to the instructional intervention. The data are coll
هدف البحث الى الكشف عن فاعلية استراتيجية المماثلة في تحصيل مادة الكيمياء والذكاء الانفعالي لطلاب الصف الخامس العلمي الاحيائي. وتكونت عينة البحث من (28 ) طالبا من طلبة الصف الخامس العلمي الاحيائي في اعدادية الشاكرين للبنين, التابعة لمديرية تربية بغداد – الكرخ الثانية, موزعين بين شعبتين بالتساوي, شعبة (أ) وهي المجموعة الضابطة التي درست على وفق الطريقة الاعتيادية, وشعبة ( ب) وهي المجموعة التجريبية والتي درست على و
... Show Moreيهدف هذا البحث إلى دراسة التداعيات القانونية والاعتبارات الأخلاقية لاستخدام تقنيات الذكاء الاصطناعي في الصحافة العراقية، مع التركيز على حدود المسؤولية القانونية، حماية حقوق الأفراد، والضوابط الأخلاقية اللازمة لمواءمة الابتكار الصحفي مع القيم المهنية. واعتمد البحث على منهجية مزدوجة تجمع بين التحليل الكيفي للنصوص القانونية والتشريعات ذات الصلة، واستطلاع ميداني لرصد وجهات نظر الصحفيين العراقيين حول واقع
... Show MoreDue to advancements in computer science and technology, impersonation has become more common. Today, biometrics technology is widely used in various aspects of people's lives. Iris recognition, known for its high accuracy and speed, is a significant and challenging field of study. As a result, iris recognition technology and biometric systems are utilized for security in numerous applications, including human-computer interaction and surveillance systems. It is crucial to develop advanced models to combat impersonation crimes. This study proposes sophisticated artificial intelligence models with high accuracy and speed to eliminate these crimes. The models use linear discriminant analysis (LDA) for feature extraction and mutual info
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