413 research outputs found

    Generating Efficient Alternatives for Development in the Chemical Industry

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    Industrial development can be seen as the process of changing the production structure by means of investment over the course of time. To control this development to the benefit of society while maintaining the profitability of the industry, decision makers must learn how socioeconomic changes and market conditions affect the static and dynamic properties of the production structure. This paper reports on the progress of collaborative research into the design of tools which could help decision makers to control development in the chemical industry. The basic approach is to formulate a model of the equilibrium state of the industry or, in the case considered here, of a particular subsector of the industry. The development process is initially described by a static multiobjective optimization problem, from which a dynamic multiobjective optimization problem is then derived. An example illustrating the use of this method for the pesticide-producing sector is given. The optimization problem and method for controlling industrial development put forward in this paper were worked out as part of the research program on Growth Strategy Optimization Systems (GSOS), sponsored by the Ministry of the Chemical Industry in Poland. This program is actually carried out at the Institute for Control and Systems Engineering (ICSE), part of the Academy of Mining and Metallurgy (AMM) in Cracow. The multiobjective optimization method for generating efficient alternatives and the related software were developed by the System and Decision Sciences Area at IIASA. This collaborative research was carried out within the framework of the agreement on scientific cooperation cosigned by IIASA and the AMM in June 1980

    Correspondence between geometrical and differential definitions of the sine and cosine functions and connection with kinematics

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    In classical physics, the familiar sine and cosine functions appear in two forms: (1) geometrical, in the treatment of vectors such as forces and velocities, and (2) differential, as solutions of oscillation and wave equations. These two forms correspond to two different definitions of trigonometric functions, one geometrical using right triangles and unit circles, and the other employing differential equations. Although the two definitions must be equivalent, this equivalence is not demonstrated in textbooks. In this manuscript, the equivalence between the geometrical and the differential definition is presented assuming no a priori knowledge of the properties of sine and cosine functions. We start with the usual length projections on the unit circle and use elementary geometry and elementary calculus to arrive to harmonic differential equations. This more general and abstract treatment not only reveals the equivalence of the two definitions but also provides an instructive perspective on circular and harmonic motion as studied in kinematics. This exercise can help develop an appreciation of abstract thinking in physics.Comment: 6 pages including 1 figur

    Mary\u27s Flowers: A Matching Game

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    Matching game using images of flowers named for the Blessed Virgin Mary. Illustrations by Brother A. Joseph Barrish, S.M

    Resilience beyond neoliberalism? Mystique of complexity, financial crises, and the reproduction of neoliberal life

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    The burgeoning debate on resilience in international relations has seen the emergence of two polarized views: resilience as a manifestation of neoliberal governmentality and resilience as the expression of a post-neoliberal shift. This article explores whether a post-neoliberal resilience may be possible by reflecting upon the ontology of complexity as unknowability at the heart of this view. It argues that this approach neglects how the discourse of complexity as unknowability is a neoliberal technology of government that is instrumental to advance neoliberal forms of resilience. The second half of the article discusses this argument with reference to the 2008 financial crisis. It shows how a resilience-as-post-neoliberal approach resonates with those dominant narratives which have shrouded the causes and mechanics of the crisis in a mystique of complexity, thus encouraging forms of cognitive and political disengagement. The article concludes that by celebrating local knowledge at the expense of an understanding of global dynamics, post-neoliberal resilience offers an impoverished notion of resistance compliant with the dictates of the neoliberal order

    Artificial Intelligence and Machine Learning for Systems Analysis of the 21st Century

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    This paper overviews research being done at IIASA with use of machine learning (ML) methods. We elaborate on promising areas of application and advantages and challenges of using ML. These reflections are done as a part of strategic planning process going on at IIASA at the moment, which aims to come up with a new research strategy for 2021-2030, as well as a supporting research plan. It has been recognized that while applications of ML in commercial sector are numerous and become more and more powerful day to day, it is not yet so common to use ML for creating societal impact. To explore the opportunities in this context and to reflect on what IIASA’s role might be, an internal working group was initiated. This paper emerged from the internal workshop held by the working group at IIASA on June 24, 2019; the workshop invited all IIASA scientists to contribute. The workshop program can be found in Appendix A to this paper
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