1,720,981 research outputs found
Strategies of Nuclear Proliferation: How States Pursue the Bomb
No full textHow do states pursue nuclear weapons? Why do they select particular strategies to develop them, and how do these choices affect the international community's ability to prevent nuclear proliferation? The bulk of the proliferation literature focuses on why states want nuclear weapons. The question of how they pursue them, however, has largely been ignored. This question is important because how states try to acquire nuclear weapons—their strategies of nuclear proliferation—affects their likelihood of success and thus the character of the nuclear landscape. Four strategies of proliferation are available to states: hedging, sprinting, hiding, and sheltered pursuit. Nuclear acquisition theory explains why a proliferator might select one strategy over the others at a given time. Empirical codings from the universe of nuclear pursuers, combined with a detailed plausibility probe of India's long march to acquiring nuclear weapons—including novel details—establish the analytical power of the theory. Different strategies of proliferation offer different opportunities and vulnerabilities for nuclear proliferation and nonproliferation, with significant implications for international security
Gene network inference using continuous time Bayesian networks: a comparative study and application to Th17 cell differentiation
Get PDFDynamic aspects of gene regulatory networks are typically investigated by measuring system variables at multiple time points. Current state-of-the-art computational approaches for reconstructing gene networks directly build on such data, making a strong assumption that the system evolves in a synchronous fashion at fixed points in time. However, nowadays omics data are being generated with increasing time course granularity. Thus, modellers now have the possibility to represent the system as evolving in continuous time and to improve the models' expressiveness
The Fragile Balance of Terror
Get PDFIn The Fragile Balance of Terror, the foremost experts on nuclear policy and strategy offer insight into an era rife with more nuclear powers. Some of these new powers suffer domestic instability, others are led by pathological personalist dictators, and many are situated in highly unstable regions of the world—a volatile mix of variables. The increasing fragility of deterrence in the twenty-first century is created by a confluence of forces: military technologies that create vulnerable arsenals, a novel information ecosystem that rapidly transmits both information and misinformation, nuclear rivalries that include three or more nuclear powers, and dictatorial decision making that encourages rash choices. The nuclear threats posed by India, Pakistan, Iran, and North Korea are thus fraught with danger. The Fragile Balance of Terror, edited by Vipin Narang and Scott D. Sagan, brings together a diverse collection of rigorous and creative scholars who analyze how the nuclear landscape is changing for the worse. Scholars, pundits, and policymakers who think that the spread of nuclear weapons can create stable forms of nuclear deterrence in the future will be forced to think again. Contributors: Giles David Arceneaux, Mark S. Bell, Christopher Clary, Peter D. Feaver, Jeffrey Lewis, Rose McDermott, Nicholas L. Miller, Vipin Narang, Ankit Panda, Scott D. Sagan, Caitlin Talmadge, Heather Williams, Amy Zegar
The Fragile Balance of Terror
No full textIn The Fragile Balance of Terror, the foremost experts on nuclear policy and strategy offer insight into an era rife with more nuclear powers. Some of these new powers suffer domestic instability, others are led by pathological personalist dictators, and many are situated in highly unstable regions of the world—a volatile mix of variables.The increasing fragility of deterrence in the twenty-first century is created by a confluence of forces: military technologies that create vulnerable arsenals, a novel information ecosystem that rapidly transmits both information and misinformation, nuclear rivalries that include three or more nuclear powers, and dictatorial decision making that encourages rash choices. The nuclear threats posed by India, Pakistan, Iran, and North Korea are thus fraught with danger.The Fragile Balance of Terror, edited by Vipin Narang and Scott D. Sagan, brings together a diverse collection of rigorous and creative scholars who analyze how the nuclear landscape is changing for the worse. Scholars, pundits, and policymakers who think that the spread of nuclear weapons can create stable forms of nuclear deterrence in the future will be forced to think again.Contributors: Giles David Arceneaux, Mark S. Bell, Christopher Clary, Peter D. Feaver, Jeffrey Lewis, Rose McDermott, Nicholas L. Miller, Vipin Narang, Ankit Panda, Scott D. Sagan, Caitlin Talmadge, Heather Williams, Amy Zegar
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Artificial Intelligence and the US-China Balance of Power
No full textHow will artificial intelligence affect the US-China balance of power? While a nascent literature debates whether AI may upend strategic stability or revolutionize the nature of warfare, existing discussions suffer from both imprecise conceptualization and scarce data. In three essays, this dissertation evaluates the impact of AI on the nuclear balance, the conventional balance, and long-term US-China competition more generally by focusing on deep learning, generating data through simulation and supply chain analysis.
The first essay defends the focus on deep learning, then presents an end-to-end conceptualization of how its technical qualities translate into usefulness across different categories of modern military tasks, which in turn affect, when contextualized to the particular dyad under study, the strategic balances across different domains of US-China competition. At each analytic layer, the paper condenses deep learning’s effects into several generalizations, tying AI to existing debates in security studies and setting an agenda for future research.
The second essay simulates US-China nuclear war in Python to assess AI’s impact on the strategic balance, focusing on the tracking of mobile platforms on land. It finds that AI reduces the total “effective counterforce area” – the area the United States would have to destroy with nuclear weapons, to carry out a splendid first-strike – by one to two orders of magnitude. Under low to medium alert, the simulation finds this would enable successful US nuclear counterforce. While countermeasures are available to China, the essay predicts heightened nuclear tensions as a result.
Finally, the third essay exploits supply chain datasets to assess each side’s ability to bring AI-enabled autonomous weapons to bear in future conventional conflicts. I find that control over the production of advanced AI chips by the United States and allies almost certainly means the United States would better exploit such weapons, if they emerged as decisive in modern warfare, within at least the next ten years. Potential Chinese policy responses, such as cannibalizing its civilian sector or substituting with older chips, would likely fail for technical reasons.Ph.D
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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