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"This powerful non-fiction account of the oppression of women in the Muslim world remains as shocking today as when it was first published, more than a quarter of a century ago. Nawal El Saadawi writes out of a powerful sense of the violence and injustice which permeated her society. Her experiences working as a doctor in villages around Egypt, witnessing prostitution, honour killings and sexual abuse, including female circumcision, drove her to give voice to this suffering. She goes on to explore the causes of the situation through a discussion of the historical role of Arab women in religion and literature. Saadawi argues that the veil, polygamy and legal inequality are incompatible with the essence of Islam or any human faith. The Hidden Face of Eve remains a classic of modern Arab writing."

"Readers will finish "Face It" feeling like they've just left a session with their own personal coach, ready to face their fear and achieve success. "Face It" guides readers through a unique self-assessment program. Readers will come to understand which of these basic behavioral profiles they may unintentionally be falling into, as well as how to work with those they find themselves up against in the workplace."

"The Crisis of Citizenship in the Arab World argues that the present crisis of the Arab world has its origins in the historical, legal and political development of state-citizen relations since the beginning of modern history in the Middle East and North Africa. The anthology covers three main topics. Part I focuses on the crisis of the social pact in different Arab countries as it became manifest during the Arab Uprisings. Part II concentrates on concepts of citizenship in Islamic doctrine, Islamic movements (Muslim Brotherhood and Salafism), secular political movements and Arab thinkers. Part III looks into the practices that support the claims to equal rights as well as the factors that have obstructed full citizen rights, such as patronage and clientelism. "

"In this paper, a 3-D face recognition system is developed usinga cylindrical structure of hidden layer neural network and its optimization through genetic algorithms. The cylindrical structure of hidden"

"Sistem pengenalan wajah manusia merupakan salah satu bidang yang cukup berkembang dewasa ini, dimana aplikasi dapat diterapkan dalam bidang keamanan (security system) seperti ijin akses masuk ruangan, pengawasan lokasi (surveillance), maupun pencarian identitas individu pada database kepolisian. Tujuan Penulisan laporan tugas akhir ini adalah untuk membangun sebuah perangkat lunak pengenalan citra wajah manusia menggunakan metode HiddenMarkov Models (HMM) dengan input database Pain Ekspression Subset dan database Hasil Foto Sendiri dengan memanfaatkan aplikasi GUI. Hasil pengujian sistem menunjukkan bahwa sistem pengenalan wajah (face recognition) membandingkan percobaan pengenalan sesuai dengan codebook (32, 64,128, 256) dan iterasi (5, 10). Sistem pengenalan wajah manusia menggunakan metode Hidden Markov Models (HMM) mencapai tingkat akurasi pengenalan sebesar84,28%, dengan database 70 gambar yang terdiri dari 10 individu dengan masing-masing individu memiliki 7 variasi ekspresi yang berbeda.

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ABSTRACTHuman face recognition system is one area that is developing now, where applications can be applied in the field of security (security system) such as permit access into the room, monitoring locations (surveillance), or search for individual identity in the police database. Purpose of this final report is to build a software image of human face recognition using Hidden Markov Models method (HMM) with input Pain Ekspression Subset database and Image itself database applications of GUI. Test results show that the system of face recognition systemstrial comparing the introduction according to the codebook (32, 64.128, 256) and iteration (5, 10). Human face recognition system using Hidden Markov Models (HMM) reached the level of recognition accuracy of 84,28%, with 70 database that consists of 10 individuals with each individual has 7 variations of expressions."