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Contemporary Islamic theology remains a neglected area in studies on Islam. This work is dedicated to the thought and ideas of Said Nursi (1876–1960), one of the most prominent Muslim theologians of the twentieth century. Nursi inspired a faith movement—the Nur community—that originated in Turkey. It continues to play a key role in the revival of Islam and now numbers several millions of followers worldwide. His legacy and impact deserve therefore to be examined more closely. This volume is the most substantial overview in English of the inspiration of Said Nursi and his masterpiece the Risale-i Nur. In the beginning, the essays provide the reader with Nursi’s historical context and biography. Then Nursi’s theological views, his understanding of society, and ideas on politics are placed under the spotlight. Over the last twenty years, more and more comparative religion specialists in the West have become acquainted with Said Nursi. Nursi studies is now an established discipline, and this volume is a celebration of that reality. As it reveals, Muslims and Christians are grappling with the wisdom of this remarkable, rich thinker.
Graph theory, being a rigorously investigated field of combinatorial mathematics, is adopted by a wide variety of disciplines addressing a plethora of real-world applications. Advances in graph algorithms and software implementations have made graph theory accessible to a larger community of interest. Ever-increasing interest in machine learning and model deployments for network data demands a coherent selection of topics rewarding a fresh, up-to-date summary of the theory and fruitful applications to probe further. This volume is a small yet unique contribution to graph theory applications and modeling with graphs. The subjects discussed include information hiding using graphs, dynamic graph-based systems to model and control cyber-physical systems, graph reconstruction, average distance neighborhood graphs, and pure and mixed-integer linear programming formulations to cluster networks.
This book introduces general supply chain terminology particularly for novice readers, state of the art supply chain management and optimization issues and problems in manufacturing. The book provides insights for making supply chain decisions, planning and scheduling through supply chain network. It introduces optimization problems, i.e. transportation of raw materials, products and location, inventory of plants, warehouses and retailers, faced throughout the supply chain network.
Clustering has emerged as one of the more fertile fields within data analytics, widely adopted by companies, research institutions, and educational entities as a tool to describe similar/different groups. The book Recent Applications in Data Clustering aims to provide an outlook of recent contributions to the vast clustering literature that offers useful insights within the context of modern applications for professionals, academics, and students. The book spans the domains of clustering in image analysis, lexical analysis of texts, replacement of missing values in data, temporal clustering in smart cities, comparison of artificial neural network variations, graph theoretical approaches, spectral clustering, multiview clustering, and model-based clustering in an R package. Applications of image, text, face recognition, speech (synthetic and simulated), and smart city datasets are presented.
This two-volume set, LNAI 11012 and 11013, constitutes the thoroughly refereed proceedings of the 15th Pacific Rim Conference on Artificial Intelligence, PRICAI 2018, held in Nanjing, China, in August 2018. The 82 full papers and 58 short papers presented in these volumes were carefully reviewed and selected from 382 submissions. PRICAI covers a wide range of topics such as AI theories, technologies and their applications in the areas of social and economic importance for countries in the Pacific Rim.
This book is divided into different research areas relevant in Bioinformatics such as biological networks, next generation sequencing, high performance computing, molecular modeling, structural bioinformatics, molecular modeling and intelligent data analysis. Each book section introduces the basic concepts and then explains its application to problems of great relevance, so both novice and expert readers can benefit from the information and research works presented here.
This book explains how the biological systems and their functions are driven by genetic information stored in the DNA, and their expression driven by different factors. The soft computing approach recognizes the different patterns in DNA sequence and try to assign the biological relevance with available information.The book also focuses on using the soft-computing approach to predict protein-protein interactions, gene expression and networks. The insights from these studies can be used in metagenomic data analysis and predicting artificial neural networks.
Yola çıktık, sizi de bekliyoruz Kavgadan usandık, kavgacılardan bıktık. Kendisinden başkasını anlamak istemeyenlerden… Nefretle beslenen, kibirle büyüyenlerden... Gerenlerden ve gerilimlerden bıktık. Linç kültürüyle beslenenlerden bıktık. Huzuru özledik. Barışı özledik. Adaleti, merhameti, özgürlüğü, bilgiyi, bilgeliği, saygıyı, sevgiyi özledik. İnsanlığımızı özledik. Birbirine düşman gözüyle bakmayan, birbirinin yüzünde bir dost siması gören insanların arasında yaşamayı özledik. Artık yeter diyoruz. Yola çıktık, özlediğimiz iklime ulaşmak için açılıyoruz. İnsanların birbirini saydığı, birbirini dinlediği, farklılıkların toplumu zenginleştirdiği, ilmin ve hikmetin konuşulduğu, sanatın ve güzelliğin rağbet gördüğü yerlerde temiz ve özgür havaları teneffüs etmek, oralarda birbirimizi okumak, birbirimizi anlamak, birbirimizde insan olmanın güzelliklerini görmek, dinlemek ve terennüm etmek için açılıyoruz. Adresimiz, her güzel şeye, her iyi yöne doğru ufkun alabildiğine açık olduğu enginlikler. Açıkdeniz’desiniz. İyi yolculuklar…