The one-state solution demonstrates that Israeli settlements have already encroached on the occupied territory of the West Bank and Gaza Strip to the extent that any Palestinian state in those areas is unviable. It reveals the irreversible impact of Israel's settlement grid by summarising its physical, demographic, financial and political dimensions. Virginia Q.Tilley explains why we should assume that this grid will not be withdrawn - or its expansion reversed - by reviewing the role of the key political actors: the Israeli government, the United States, the Arab states, and the European Union. Finally the book addresses the daunting obstacles to a one-state solution - including major revision of the Zionist dream but also Palestinian and other regional resistance - and offers some ideas about how these obstacles might be addressed.
A landmark manifesto issuing a bold call for a one-state solution to the Israeli-Palestine conflict. The reigning consensus in elite and academic circles is that the United States must seek to resolve the Palestinians' conflict with Israel by implementing the so-called two-state solution. Establishing a Palestinian state, so the thinking goes, would be a panacea for all the region’s ills. In a time of partisan gridlock, the two-state solution stands out for its ability to attract supporters from both sides of America's ideological divide. But the great irony is that it is one of the most irrational and failed policies the United States has ever adopted. Between 1970 and 2013, the United States presented nine different peace plans for Israel and the Palestinians, and for the past twenty years, the two state solution has been the centerpiece of U.S. Middle East policy. But despite this laser focus, American efforts to implement a two-state peace deal have failed—and with each new attempt, the Middle East has become less stable, more violent, more radicalized, and more inimical to democratic values and interests. In The Israeli Solution, Caroline Glick, senior contributing editor to the Jerusalem Post, examines the history and misconceptions behind the two-state policy, most notably: - The huge errors made in counting the actual numbers of Jews and Arabs in the region. The 1997 Palestinian Census, upon which most two-state policy is based, wildly exaggerated the numbers of Palestinians living in the West Bank and Gaza. - Neglect of the long history of Palestinian anti-Semitism, refusal to negotiate in good faith, terrorism, and denial of Israel’s right to exist. - Disregard for Israel’s stronger claims to territorial sovereignty under international law, as well as the long history of Jewish presence in the region. - Indifference to polling data that shows the Palestinian people admire Israeli society and governance. Despite a half-century of domestic and international terrorism, anti-semitism, and military attacks from regional neighbors who reject its right to exist, Israel has thrived as the Middle East’s lone democracy. After a century spent chasing a two-state policy that hasn’t brought the Israelis and Palestinians any closer to peace, The Israeli Solution offers an alternative path to stability in the Middle East based on Israeli sovereignty over Judea and Samaria.
What is needed now is for humanity to agree on the most important topic in human history. We could produce spectacular results if we did so, changing life on Earth for the better - forever. And this is not out of our reach. We could bring an end to anger, violence, disagreements between people and nations, financial hardships, poverty, starvation, and the suffering of millions. We could bring peace, prosperity, security, opportunity, and joy to people around the world. In short, all that humanity has ever hoped for or dreamt of and what we were truly meant to experience could be ours. This could happen virtually overnight. And it could be done with the embracing of a single idea.
Developments in the areas of biology and bioinformatics are continuously evolving and creating a plethora of data that needs to be analyzed and decrypted. Since it can be difficult to decipher the multitudes of data within these areas, new computational techniques and tools are being employed to assist researchers in their findings. The Handbook of Research on Computational Intelligence Applications in Bioinformatics examines emergent research in handling real-world problems through the application of various computation technologies and techniques. Featuring theoretical concepts and best practices in the areas of computational intelligence, artificial intelligence, big data, and bio-inspired computing, this publication is a critical reference source for graduate students, professionals, academics, and researchers.
A unified view of metaheuristics This book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to engineering design, routing, and scheduling. It presents the main design questions for all families of metaheuristics and clearly illustrates how to implement the algorithms under a software framework to reuse both the design and code. Throughout the book, the key search components of metaheuristics are considered as a toolbox for: Designing efficient metaheuristics (e.g. local search, tabu search, simulated annealing, evolutionary algorithms, particle swarm optimization, scatter search, ant colonies, bee colonies, artificial immune systems) for optimization problems Designing efficient metaheuristics for multi-objective optimization problems Designing hybrid, parallel, and distributed metaheuristics Implementing metaheuristics on sequential and parallel machines Using many case studies and treating design and implementation independently, this book gives readers the skills necessary to solve large-scale optimization problems quickly and efficiently. It is a valuable reference for practicing engineers and researchers from diverse areas dealing with optimization or machine learning; and graduate students in computer science, operations research, control, engineering, business and management, and applied mathematics.
Marine Design XIII collects the contributions to the 13th International Marine Design Conference (IMDC 2018, Espoo, Finland, 10-14 June 2018). The aim of this IMDC series of conferences is to promote all aspects of marine design as an engineering discipline. The focus is on key design challenges and opportunities in the area of current maritime technologies and markets, with special emphasis on: • Challenges in merging ship design and marine applications of experience-based industrial design • Digitalisation as technological enabler for stronger link between efficient design, operations and maintenance in future • Emerging technologies and their impact on future designs • Cruise ship and icebreaker designs including fleet compositions to meet new market demands To reflect on the conference focus, Marine Design XIII covers the following research topic series: •State of art ship design principles - education, design methodology, structural design, hydrodynamic design; •Cutting edge ship designs and operations - ship concept design, risk and safety, arctic design, autonomous ships; •Energy efficiency and propulsions - energy efficiency, hull form design, propulsion equipment design; •Wider marine designs and practices - navy ships, offshore and wind farms and production. Marine Design XIII contains 2 state-of-the-art reports on design methodologies and cruise ships design, and 4 keynote papers on new directions for vessel design practices and tools, digital maritime traffic, naval ship designs, and new tanker design for arctic. Marine Design XIII will be of interest to academics and professionals in maritime technologies and marine design.
This two-volume set LNCS 13398 and LNCS 13399 constitutes the refereed proceedings of the 17th International Conference on Parallel Problem Solving from Nature, PPSN 2022, held in Dortmund, Germany, in September 2022. The 87 revised full papers were carefully reviewed and selected from numerous submissions. The conference presents a study of computing methods derived from natural models. Amorphous Computing, Artificial Life, Artificial Ant Systems, Artificial Immune Systems, Artificial Neural Networks, Cellular Automata, Evolutionary Computation, Swarm Computing, Self-Organizing Systems, Chemical Computation, Molecular Computation, Quantum Computation, Machine Learning, and Artificial Intelligence approaches using Natural Computing methods are just some of the topics covered in this field.
