دور الشباب في رقي الأمم وازدهارها الحضاري على أساس الدين والعلم والأخلاق من منظور السيرة النبوية

Islam took great care of youth, because youth in Islamic nation are the shining stars, they are the backbone of nation and source of its survival and the pillars of advancement in the peace, and the soldier of victory in the war, and the hope of nation's present and future. Nations achieve greatness on the shoulders of their faithful and committed youth those who want progress, innovation and scientific competition in all sphere of the life, and serve great in uplifting of their Islamic nation. This article is an attempt to answer some questions, such as: possibility of the renewal of ideas of youth and concepts of the religious texts to work on drafting a practical approach for the advancement and prosperity based on the teachings of the religion that urges to wisdom with knowledge and ethics? This article deals with the Importance of youth’s role in progress of the nations and development of their civilizations in light of Holy Qur’an, Writing the idiomatic concept of the word "civilization, the impact of religion, science and ethics in advancement and property of nations, the causes and factors that led to the decline of the Islamic civilization, the foundations and pillars of western civilization, and the most important foundations on of the youth for advancement and prosperity of the nation. All these points are discussed in the article with a special reference an as taken is (صلى الله عليه وسلم) Prophet Holy of life the and Sunnah and Quran of excellent example for the development of nation with special reference to its youth.

Lung Cancer Classification With Discriminant Features of Mutated Genes Using Machine Learning

Machine learning based mathematical and statistical models are employed for the development of improved classification systems. These decision based systems have the capability of automatically learning from complex sequential data. In this work, machine learning models are developed for the classification of lung cancer. The early classification of lung cancer is critical for successful cancer treatment. Genes and proteins are important in the normal functioning of the human body. The abnormal processes due to somatic mutations transform normal cells into cancer cells. The somatic mutations in genes are ultimately reflected in gene expression and proteins amino acid sequences. Influential information is extracted during the statistical analysis of gene expression and proteins amino acid sequences data. This information is transformed into discriminant feature spaces using physiochemical properties. The machine learning capability is exploited effectively using discriminant information of mutated genes in proteomic and genomic data.This study aims to develop artificial intelligent lung cancer classification systems. The development was carried out in three main phases. In the first phase, lung cancer classification system using protein amino acid sequences is developed by employing various individual learning algorithms. In the second phase, lung cancer classification system using protein amino acid sequences is developed by employing multi-gene genetic programming. This approach exploits evolutionary learning capability by optimally combining the selected discriminant features with primitive functions. The third phase is focussed on the development of improved lung cancer classification system using influential features of gene expression with the imbalanced dataset by employing rotation forest. In the thesis work, extensive experiments are conducted to evaluate the performance of various lung cancer classification systems. The proposed systems have obtained excellent accuracy values in the range of 95%99%. The comparative analysis highlights that proposed lung cancer classification systems are better than previous approaches. It is expected that research outcome would impact in the fields of diagnosis, prevention, and effective treatment of lung cancer.