1,562 research outputs found

    Environmental Group and Legal expertise: Shaping the Brexit Process

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    Environmental Groups and Legal Expertise explores the use and understanding of law and legal expertise by environmental groups. Rather than the usual focus on the court room, it scrutinises environmental NGO advocacy during the extraordinarily dramatic Brexit process, from the referendum on leaving the EU in June 2016 to the debate around the new Environment Bill in the first half of 2020. There is generally a weak understanding of both the complexity and the potential of legal expertise in the environmental NGO community. Legal expertise can be more than a tool for campaigners, and more than litigation: it provides distinctive ways of both seeing the world and changing the world. The available legal resource in the sector is not just a practical limit on what can be done, but spills into the very understanding of what should be done, and what resource is needed. Mutually reinforcing links between capacity, understanding, culture and investment affect legal expertise across the board. There are, however, pockets of sophisticated legal expertise in the community, and legal expertise was heavily and often effectively used in the anomalously law-heavy Brexit-environment debate. The ability to call on thinly spread legal expertise in a crisis was in part due to effective NGO collaboration around Brexit-environment

    Exact Baryon, Strangeness and Charge Conservation in Hadronic Gas Models

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    Relativistic heavy ion collisions are studied assuming that particles can be described by a hadron gas in thermal and chemical equilibrium. The exact conservation of baryon number, strangeness and charge are explicitly taken into account. For heavy ions the effect arising from the neutron surplus becomes important and leads to a substantial increase in e.g. the π−/π+\pi^-/\pi^+ ratio. A method is developed which is very well suited for the study of small systems.Comment: 5 pages, 5 Postscript figure

    Method of Monte Carlo grid for data analysis

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    This paper presents an analysis procedure for experimental data using theoretical functions generated by Monte Carlo. Applying the classical chi-square fitting procedure for some multiparameter systems is extremely difficult due to a lack of an analytical expression for the theoretical functions describing the system. The proposed algorithm is based on the least square method using a grid of Monte Carlo generated functions each corresponding to definite values of the minimization parameters. It is used for the E742 experiment (TRIUMF, Vancouver, Canada) data analysis with the aim to extract muonic atom scattering parameters on solid hydrogen.Comment: 16 pages, 10 figures, submitted to NI

    First upper limit analysis and results from LIGO science data: stochastic background

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    I describe analysis of correlations in the outputs of the three LIGO interferometers from LIGO's first science run, held over 17 days in August and September of 2002, and the resulting upper limit set on a stochastic background of gravitational waves. By searching for cross-correlations between the LIGO detectors in Livingston, LA and Hanford, WA, we are able to set a 90% confidence level upper limit of h_{100}^2 Omega_0 < 23 +/- 4.6.Comment: 7 pages; 1 eps figures; proceeding from 2003 Edoardo Amaldi Meeting on Gravitational Wave

    The model area in successful lean transformation and scale modeling

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    The True Lean System Program at the University of Kentucky was created in 1994 to study how the development of the Toyota Production System (TPS) contributes to Toyota’s success. This increased understanding of Toyota’s experience would provide useful guidance to Western companies taking on the challenges of replicating Toyota’s success within their own organizations. The common struggle point shared by the companies who come to us is their inability to establish sustainable TPS-based Lean transformations throughout their organizations. Our work with these companies along with our study of Toyota’s own experience in bringing TPS to its own American operations has led to a belief that a major obstacle to adopting and implementing TPS into Western organizations is a lack of understanding of the essential motivational mechanisms embodied in TPS. It was these motivational factors that originally triggered the creativity and innovation of Toyota’s workforce in the context of Japanese culture. In bringing TPS to America, Fujio Cho recognized the need to pay attention to these same motivational factors with an American workforce, particularly in light of the fundamental cultural differences between Toyota’s Japanese workforce and their Western counterparts. This TPS-cultural difference needs to be clearly understood to enable Western companies to successfully transform into TPS-driven organizations. TPS is based on a learning-by-doing methodology which has lent itself to a transformative process in which organizations apply the principles of TPS and kaizen in a limited model area before spreading to the entire organization. The result of this application produces a series of incremental (often small) improvements which may be explained with the help of scale modeling principles and methodology. This paper is our first attempt to show the direct applicability of scale modeling concepts/methodology to the model area approach for successful TPS transformation, including the role of standardization and problem solving in Kaizen. i.e. continuous improvement. Our new findings show promising first steps for organizations and TPS/Lean researchers facing the twin challenges of establishing sustainable TPS/Lean models and subsequently scaling them up along a pathway defined by the needs to achieve full scale TPS/Lean organizational transformations

    The Primordial Gravitational Wave Background in String Cosmology

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    We find the spectrum P(w)dw of the gravitational wave background produced in the early universe in string theory. We work in the framework of String Driven Cosmology, whose scale factors are computed with the low-energy effective string equations as well as selfconsistent solutions of General Relativity with a gas of strings as source. The scale factor evolution is described by an early string driven inflationary stage with an instantaneous transition to a radiation dominated stage and successive matter dominated stage. This is an expanding string cosmology always running on positive proper cosmic time. A careful treatment of the scale factor evolution and involved transitions is made. A full prediction on the power spectrum of gravitational waves without any free-parameters is given. We study and show explicitly the effect of the dilaton field, characteristic to this kind of cosmologies. We compute the spectrum for the same evolution description with three differents approachs. Some features of gravitational wave spectra, as peaks and asymptotic behaviours, are found direct consequences of the dilaton involved and not only of the scale factor evolution. A comparative analysis of different treatments, solutions and compatibility with observational bounds or detection perspectives is made.Comment: LaTeX, 50 pages with 2 figures. Uses epsfig and psfra
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