Thermal energy storage is an important component in energy units to decrease the gap between energy supply and demand. Free convection and the locations of the tubes carrying the heat-transfer fluid (HTF) have a significant influence on both the energy discharging potential and the buoyancy effect during the solidification mode. In the present study, the impact of the tube position was examined during the discharging process. Liquid-fraction evolution and energy removal rate with thermo-fluid contour profiles were used to examine the performance of the unit. Heat exchanger tubes are proposed with different numbers and positions in the unit for various cases including uniform and non-uniform tubes distribution. The results show that

This research aims at know the position of Al-Jassas Al- Hanafi (D. 370 AH) of  "As-Sifat Al- Khbriya", through his interpretation: (the provisions of Qur'an), by studying his interpretation of the verses related to this issue.

The most significant results of this study that Al-Jassas did not consider the words that called: "As-Sifat Al- Khbriya" as adjectives to Allah almighty, but he consider them contained an inappropriate meaning to Allah almighty, thus it must be referred to the perfect arbitrator, so he was believe in opinion of interpretation. and interpretations of Al-Jassas for the related of the Qur'an verses relat

A new simple and sensitive spectrophotometric method is described for quantification of Nifedipine (NIF) and their pharmaceutical formulation. The selective method was performed by the reduction of NIF nitro group to yield primary amino group using zinc powder with hydrochloric acid. The produced aromatic amine was submitted to oxidative coupling reaction with pyrocatechol and ammonium ceric nitrate to form orange color product measured spectrophotometrically with maximum absorption at 467nm. The product was determined through flow injection analysis (FIA) system and all the chemical and physical parameters were optimized. The concentration range from 5.0 to 140.0 μg.mL-1 was obeyed Beer’s law with a limit of detection and quantitatio

            Knowledge was varied at all level, and it reached to all sector of society during the Arabic Islamic Renaissance that lasted five centuries. Its creativity and originality had a great effect on every aspect of life in the countries laborited by Arab Muslims.Esfahan was one of these countries, in which Arab Muslims played a great role in dissemination of knowledge and science in the society.

The role of Arab bookworms and thinkers in circularizing Islamic knowledge was distinguished. Islamic religion improved the behavior of Arabic people so they became able to learn people and nations the principles of knowledge. This lead to develop the scientific movement by man

دراسة حاكمية الجامعات وأثرها في القرار الاستراتيجي

God Almighty sent down the Noble Qur’an to guide people in all areas of their lives, including the field of functional business.

كانت المجالس وما ا زلت تعقد فػي البيػوت او الػدواويف الرسػمية ينػاقش فيهػا المجتمعػوف امػوره الخاصػػة والعامػػة وقػػد اخػػذت هػػذ المجػػالس عمػػ عاتقهػػا نشػػر عمػو العممػػا والقصائد الشعرية والاخبار السياسية والفكاهية وكاف يحضرها مختمؼ ش ا رئح المجتمع ساعدت هػذ المجػالس عمػ حفػظ التػ ا رث العربػي الاسػلامي مػف مثُػؿ وقػي خمقيػة لكػف بسبب الفػتف المذهبيػة التػي سػادت المجتمػع فػي القػرف الخػامس الهجػري

In this paper, a self-tuning adaptive neural controller strategy for unknown nonlinear system is presented. The system considered is described by an unknown NARMA-L2 model and a feedforward neural network is used to learn the model with two stages. The first stage is learned off-line with two configuration serial-parallel model & parallel model to ensure that model output is equal to actual output of the system & to find the jacobain of the system. Which appears to be of critical importance parameter as it is used for the feedback controller and the second stage is learned on-line to modify the weights of the model in order to control the variable parameters that will occur to the system. A back propagation neural network is appl