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bsj-7015
Mathematical Models Used for Brachytherapy Treatment Planning Dose Calculation Algorithms
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Brachytherapy treatment is primarily used for the certain handling kinds of cancerous tumors. Using radionuclides for the study of tumors has been studied for a very long time, but the introduction of mathematical models or radiobiological models has made treatment planning easy. Using mathematical models helps to compute the survival probabilities of irradiated tissues and cancer cells. With the expansion of using HDR-High dose rate Brachytherapy and LDR-low dose rate Brachytherapy for the treatment of cancer, it requires fractionated does treatment plan to irradiate the tumor. In this paper, authors have discussed dose calculation algorithms that are used in Brachytherapy treatment planning. Precise and less time-consuming calculations using 3D dose distribution for the patient is one of the important necessities in modern radiation oncology. For this it is required to have accurate algorithms which help in TPS. There are certain limitations with the algorithm which are used for calculating the dose. This work is done to evaluate the correctness of five algorithms that are presently employed for treatment planning, including pencil beam convolution (PBC), superposition (SP), anisotropic analytical algorithm (AAA), Monte Carlo (MC), Clarkson Method, Fast Fourier Transform, Convolution method. The algorithms used in radiotherapy treatment planning are categorized as correction‐based and model‐based.

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Publication Date
Sat Oct 09 2021
Journal Name
مجلةالعلوم الاجتماعية
العلاقة بين قلق الاختبار والكفاءة الرياضية لطلبة كلية التربية ابن الهيثم
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يهدف البحث الى التعرف على بقاء اثر المعلومة عن طريق الاجابة عن السؤال: ما مدى بقاء اثر التعلم بين التعليم الالكتروني والتعليم الاعتيادي ( الحضوري )؟ تم تطبيق البحث في العام الدراسي( 2020-2021 م) في العراق. تم استخدام المنهج الوصفي بالاسلوب المقارن في عقد مقارنة بين التعليم الالكتروني والتعليم الاعتيادي. وقد تحدد مجتمع البحث لطلبة المرحلة الرابعة كلية التربية للعلوم الصرفة – ابن الهيثم واستخدمت العيتة من قسم

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Publication Date
Sat Jun 13 2026
Journal Name
Sciences Journal Of Physical Education
صعوبات استخدام المدرسين لأساليب التدريس الحديثة بدرس التربية الرياضية للمرحلة المتوسطة
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من أجل الإجابة على التساؤل المتعلق بمشكلة البحث وهو؛ ماهي الصعوبات التي تواجه المدرسين باستخدام أساليب التدريس الحديثة بدرس التربية الرياضية للمرحلة المتوسطة؟ والعمل على إيجاد الحلول المناسبة لهذه الصعوبات. استخدم الباحثين المنهج الوصفي بالأسلوب المسحي على عينة من مدرسي ومدرسات التربية الرياضية في محافظة ديالى في المدارس المتوسطة والبالغ عددهم (81) مدرساً ومدرسة، وبعد إعداد الاستبانة الخاصة بالبحث وتوزيع

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Publication Date
Fri Jan 06 2023
Journal Name
مجلة الباحث الاعلامي
مواقع الويب ودورها في بناء الصورة الذهنية للمنظمات الرياضية \ دراسة مسحية
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Publication Date
Sun Feb 03 2019
Journal Name
Journal Of The College Of Education For Women
The role of thclimate in the development of the performance of the administrative bodies of sports clubs
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The role of the climate in the development of the performance of the administrative bodies of sports clubs

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Publication Date
Tue Dec 30 2014
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Coagulation/ Flocculation, Microfiltration and Nanofiltration for Water Treatment of Main Outfall Drain for Injection in Nasiriyah Oil Field
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The present work aims to study the efficiency of coagulation/ flocculation as 1st stage, natural gravity water filter or microfiltration (MF) as 2nd stage and nanofiltration (NF) technology as final stage for treatment of water of main outfall drain (MOD) for injection in Nasiriyah oil field. Effects of operating parameters such as coagulant dosage, speed and time of slow mixing step and settling time in the 1st stage were studied. Also feed turbidity and total suspended solids (TSS) in the 2

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Publication Date
Mon Mar 01 2010
Journal Name
Journal Of Economics And Administrative Sciences
مدى ملائمة خصائص العمل البيئية لتخطيط وتصميم مساحات المصنع دراسة ميدانية في الشركة العامة للصناعات الإنشائية (مصنع الأنابيب البلاستيكية) والجلدية (مصنع الدباغة) في الزعفرانية
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 The Problem of the research  is Limited with the ambguity of environmental work Characterstics role and among them the natural Working Conditions: Temproture, Lighting, Noise, Colours,and Smells, in the Decisions that rule the Planning and Designing work of the industrial Location and it 's targets are Limited with discovering the effect of environmental work Characterstics in planning and designing the industrial Companies and to reach to the most important properties that distinguish the industrial Location Within the frame of dealing with the nature Conditions in the dry, hot regions and the dfining of the relationship between them on the assumption that the Characterstics of environmental work have agreat effect in

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Publication Date
Fri Mar 29 2024
Journal Name
Iraqi Journal Of Science
Biological versus Topological Domains in Improving the Reliability of Evolutionary-Based Protein Complex Detection Algorithms
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     By definition, the detection of protein complexes that form protein-protein interaction networks (PPINs) is an NP-hard problem. Evolutionary algorithms (EAs), as global search methods, are proven in the literature to be more successful than greedy methods in detecting protein complexes. However, the design of most of these EA-based approaches relies on the topological information of the proteins in the PPIN. Biological information, as a key resource for molecular profiles, on the other hand, acquired a little interest in the design of the components in these EA-based methods. The main aim of this paper is to redesign two operators in the EA based on the functional domain rather than the graph topological domain. The perturb

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Publication Date
Sun Aug 25 2019
Journal Name
Civil Engineering Journal
Optimum Efficiency of PV Panel Using Genetic Algorithms to Touch Proximate Zero Energy House (NZEH)
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By optimizing the efficiency of a modular simulation model of the PV module structure by genetic algorithm, under several weather conditions, as a portion of recognizing the ideal plan of a Near Zero Energy Household (NZEH), an ideal life cycle cost can be performed. The optimum design from combinations of NZEH-variable designs, are construction positioning, window-to-wall proportion, and glazing categories, which will help maximize the energy created by photovoltaic panels. Comprehensive simulation technique and modeling are utilized in the solar module I-V and for P-V output power. Both of them are constructed on the famous five-parameter model.  In addition, the efficiency of the PV panel is established by the genetic algorithm

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Publication Date
Mon Dec 01 2025
Journal Name
Case Studies In Construction Materials
Optimized stress-strain modeling of eco-friendly fiber-reinforced concrete members using meta-heuristic algorithms
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Eco-friendly concrete is produced using the waste of many industries. It reduces the fears concerning energy utilization, raw materials, and mass-produced cost of common concrete. Several stress-strain models documented in the literature can be utilized to estimate the ultimate strength of concrete components reinforced with fibers. Unfortunately, there is a lack of data on how non-metallic fibers, such as polypropylene (PP), affect the properties of concrete, especially eco-friendly concrete. This study presents a novel approach to modeling the stress-strain behavior of eco-friendly polypropylene fiber-reinforced concrete (PFRC) using meta-heuristic particle swarm optimization (PSO) employing 26 PFRC various mixtures. The cement was partia

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Publication Date
Sat Feb 07 2026
Journal Name
Algorithms
An In-Depth Review of Speech Enhancement Algorithms: Classifications, Underlying Principles, Challenges, and Emerging Trends
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Speech enhancement aims to improve speech quality and intelligibility in noisy environments and is important in applications such as hearing aids, mobile communications and automatic speech recognition (ASR). This paper shows a structured review of speech enhancement techniques, classified depending on the channel configuration and signal processing framework. Both traditional and modern approaches are discussed, including classical signal processing methods, machine learning techniques, and recent deep learning-based models. Furthermore, common noise types, widely used speech datasets, and standard evaluation metrics for evaluating speech quality and intelligibility are reviewed. Key challenges such as non-stationary noise, data li

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