The new events in every era are endless, and it is not required of the legal texts to pursue each event by itself and attach to it its ruling.
At the same time, every event or action must have a Shari’a ruling according to the wise Lawgiver, and our scholars have noted this in every event presented to them. ...etc.
It is well known that reaching the legal ruling on a matter, by examining the detailed evidence, is subject to following the path of the rules and regulations specific to the overall evidence, which we organize on the basis of the principles of jurisprudence.
Therefore, any disagreement about the manner or content of these rules will have an impact on the difference of jurists in partial issues, when examining the detailed evidence for each issue separately.
A Factorial Study for separation anxiety in students, of Baghdad City
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It is important to be able to be able to be able to do so. . (Physics and mathematics) English language lessons English language tutoring English language tutoring English tutoring of the Modern of the Modern of the Modern of the Modern of the Modern. English Artiques of the Imagisies of the Nature of the Sciences of the Sciences of the Confectionery of the Consulting of the Confectionery of the Consultants. Wikipedia. The current research objective has been to measure: - 1-The level of psychological and social harmony for the children of martyrs of the popular crowd. 2- the correlation between the psychological and social compatibility of the children of the martyrs of the popular crowd and its relationship to some variables. In order t
... Show Moreهدف البحث الحالي إلى عامل البخل المعرفي الذي يعد من العوامل التي تعطل الأفراد سعي الى الادراك المتمثل بالبيئة المادية والمعرفية والعالم المحيط بهم فهو يجعل الأفراد لا يرغبون في بذل المزيد من الجهد والوقت في التفكير والتحليل مما يؤدي الي معوقات في الإدراك، فالبخل المعرفي هو اعتماد الفرد الاختصارات العقلية والاستدلالات العقلية السريعة للحفاظ على الموارد العقلية عند التعامل مع المهام التي تتطلب في المقام الا
... Show MoreThis aim research of this discussion impact of investment in human capital dimensions (training, education, knowledge management, skills development) and its components (knowledge, skills, abilities, value) with the Office of the Inspector General's staff - Ministry of Culture in Iraq, has depended questionnaire as a tool in the collection data and information ,subjected to a measure of validity and reliability, and distributed to a sample of (63) individuals were distributed in positions (director, director of the Division of employees) have been analyzed data search using ready-statistical software (SPSS) the used hypothesis testing and correlati
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تعد ضغوط التعلم من المتغيرات المهمة في العملية التعليمية، وهي من أكثر المشكلات شيوعاً بين الطلبة في الجامعات والمراحل التعليمية الأخرى، وترتكز ضغوط التعلم على فكرة شعور الطلبة بالضغط أثناء الدراسة، وشعورهم بالتعب من الدراسة، ونفورهم وخوفهم وجمودهم عن إنجاز المهام الموكلة إليهم، وكلما طالت مدة التعرض لضغوط التعلم دون محاولة مواجهة أسبابها، كلما ظهرت تغيرات أكثر في الحالة النفسية والفسيولوجية للشخص. وقد جا
... Show More-مشكلة البحث وأهمية الحاجة اليه:-
يمكن القول أن التقدم والتخلف قضيتان جذورهما فكرية تتمحوران حول استخدام المنهجية العلمية وليست التكنولوجيا عملاً خلافاً او مستحيلاً على أي شعب اذا اتيح له تربية العقل المنهجي أنه العقل الذي تعلم كيف يفكر . فالتكنولوجية : هي العملية الابداعية لمثل هذا العقل المنهجي وليس هذا العقل وليد المصادفة بل إن التربية أهم عوامل بنائه. فإذا ما أفادت التربية من هذه الحقيق
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The support vector machine, also known as SVM, is a type of supervised learning model that can be used for classification or regression depending on the datasets. SVM is used to classify data points by determining the best hyperplane between two or more groups. Working with enormous datasets, on the other hand, might result in a variety of issues, including inefficient accuracy and time-consuming. SVM was updated in this research by applying some non-linear kernel transformations, which are: linear, polynomial, radial basis, and multi-layer kernels. The non-linear SVM classification model was illustrated and summarized in an algorithm using kernel tricks. The proposed method was examined using three simulation datasets with different sample
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Wildfire risk has globally increased during the past few years due to several factors. An efficient and fast response to wildfires is extremely important to reduce the damaging effect on humans and wildlife. This work introduces a methodology for designing an efficient machine learning system to detect wildfires using satellite imagery. A convolutional neural network (CNN) model is optimized to reduce the required computational resources. Due to the limitations of images containing fire and seasonal variations, an image augmentation process is used to develop adequate training samples for the change in the forest’s visual features and the seasonal wind direction at the study area during the fire season. The selected CNN model (Mob
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