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Paradigms of Combinatorial Optimization
Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management. The three volumes of the Combinatorial Optimization series aims to cover a wide range of topics in this area. These topics also deal with fundamental notions and approaches as with several classical applications of combinatorial optimization. “Paradigms of Combinatorial Optimization” is divided in two parts: • Paradigmatic Problems, that handles several famous combinatorial optimization problems as max cut, min coloring, optimal satisfiability tsp, etc., the study of which has largely contributed to both the development, the legitimization and the establishment of the Combinatorial Optimization as one of the most active actual scientific domains; • Classical and New Approaches, that presents the several methodological approaches that fertilize and are fertilized by Combinatorial optimization such as: Polynomial Approximation, Online Computation, Robustness, etc., and, more recently, Algorithmic Game Theory.
Greece
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Greece
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Greece
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The Mycenaean Age
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Archaeology
Archaeology has always been marked by its particular care, obligation, and loyalty to things. While archaeologists may not share similar perspectives or practices, they find common ground in their concern for objects monumental and mundane. This book considers the myriad ways that archaeologists engage with things in order to craft stories, both big and small, concerning our relations with materials and the nature of the past. Literally the "science of old things," archaeology does not discover the past as it was but must work with what remains. Such work involves the tangible mediation of past and present, of people and their cultural fabric, for things cannot be separated from society. Things are us. This book does not set forth a sweeping new theory. It does not seek to transform the discipline of archaeology. Rather, it aims to understand precisely what archaeologists do and to urge practitioners toward a renewed focus on and care for things.
Real-World Data and Real-World Evidence in Lung Cancer
Lung cancer is still one of the most common malignancies with a high global mortality rate with over 2 million cases confirmed by the World Health Organization in 2018. Although there has been progress in diagnosing and treating lung cancer, patients still have poor prognosis with a 5-year survival rate typically from 4-17% which is dependent on the stage of the cancer and regional differences. The majority of lung cancer patients are at the advanced stages of the disease at the time of their diagnosis and therefore, have less chances of early treatment that could have improved their survival rate. Therefore, early detection of lung cancer remains imperative to improve the prognosis.
