Results for 'Bogolyubov coefficients'

840 found
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  1.  8
    Universal nuclear domains of somatic and germ cells: some lessons from oocyte interchromatin granule cluster and Cajal body structure and molecular composition.Dmitry Bogolyubov, Irina Stepanova & Vladimir Parfenov - 2009 - Bioessays 31 (4):400-409.
    It is now clear that two prominent nuclear domains, interchromatin granule clusters (IGCs) and Cajal bodies (CBs), contribute to the highly ordered organization of the extrachromosomal space of the cell nucleus. These functional domains represent structurally stable but highly dynamic nuclear organelles enriched in factors that are required for different nuclear activities, especially RNA biogenesis. IGCs are considered to be the main sites for storage, assembly, and/or recycling of the essential spliceosome components. CBs are involved in the biogenesis of several (...)
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  2.  95
    Black Hole Fluctuations and Backreaction in Stochastic Gravity.Sukanya Sinha, Alpan Raval & B. L. Hu - 2003 - Foundations of Physics 33 (1):37-64.
    We present a framework for analyzing black hole backreaction from the point of view of quantum open systems using influence functional formalism. We focus on the model of a black hole described by a radially perturbed quasi-static metric and Hawking radiation by a conformally coupled massless quantum scalar field. It is shown that the closed-time-path (CTP) effective action yields a non-local dissipation term as well as a stochastic noise term in the equation of motion, the Einstein–Langevin equation. Once the thermal (...)
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  3.  92
    Correlation Coefficient Measures of Interval Bipolar Neutrosophic Sets for Solving Multi-Attribute Decision Making Problems.Surapati Pramanik, Dey Partha Pratim & Florentin Smarandache - 2018 - Neutrosophic Sets and Systems 19:70-79.
    Interval bipolar neutrosophic set is a significant extension of interval neutrosophic set where every element of the set comprises of three independent positive membership functions and three independent negative membership functions. In this study, we first define correlation coefficient, and weighted correlation coefficient measures of interval bipolar neutrosophic sets and prove their basic properties. Then, we develop a new multi-attribute decision making strategy based on the proposed weighted correlation coefficient measure. Finally, we solve an investment problem with interval bipolar neutrosophic (...)
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  4. Coefficients, effects, and genic selection.Alexander Rosenberg - 1983 - Philosophy of Science 50 (2):332-338.
  5.  9
    Temperature coefficient of twin boundary energy of platinum and cobalt.M. McLean & H. Mykura - 1966 - Philosophical Magazine 14 (132):1191-1197.
  6.  55
    Correlation coefficients and Robertson-Schroedinger uncertainty relations.Gordon N. Fleming - unknown
    Calling the quantity; 2ΔAΔB/|<[A, B]>|, with non-zero denominator, the uncertainty product ratio or UPR for the pair of observables, (A, B), it is shown that any non-zero correlation coefficient between two observables raises, above unity, the lower bound of the UPR for each member of an infinite collection of pairs of incompatible observables. Conversely, any UPR is subject to lower bounds above unity determined by each of an infinite collection of correlation coefficients. This result generalizes the well known Schroedinger (...)
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  7. Justice and Gini coefficients.Theodore J. Everett & Bruce M. Everett - 2015 - Politics, Philosophy and Economics 14 (2):187-208.
    Gini coefficients, which measure gross inequalities rather than their unfair components, are often used as proxy measures of absolute or relative distributive injustice in Western societies. This presupposes that the fair inequalities in these societies are small and stable enough to be ignored. This article presents a model for a series of ideal, perfectly just societies, where comfortable lives are equally available to everyone, and calculates the Gini coefficients for each. According to this model, inequalities produced by age (...)
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  8.  15
    Irrational “Coefficients” in Renaissance Algebra.Jeffrey A. Oaks - 2017 - Science in Context 30 (2):141-172.
    ArgumentFrom the time of al-Khwārizmī in the ninth century to the beginning of the sixteenth century algebraists did not allow irrational numbers to serve as coefficients. To multiply$\sqrt {18} $byx, for instance, the result was expressed as the rhetorical equivalent of$\sqrt {18{x^2}} $. The reason for this practice has to do with the premodern concept of a monomial. The coefficient, or “number,” of a term was thought of as how many of that term are present, and not as the (...)
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  9.  51
    Cardinal coefficients associated to certain orders on ideals.Piotr Borodulin-Nadzieja & Barnabás Farkas - 2012 - Archive for Mathematical Logic 51 (1-2):187-202.
    We study cardinal invariants connected to certain classical orderings on the family of ideals on ω. We give topological and analytic characterizations of these invariants using the idealized version of Fréchet-Urysohn property and, in a special case, using sequential properties of the space of finitely-supported probability measures with the weak* topology. We investigate consistency of some inequalities between these invariants and classical ones, and other related combinatorial questions. At last, we discuss maximality properties of almost disjoint families related to certain (...)
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  10.  56
    Keynes’s Coefficient of Dependence Revisited.Peter Brössel - 2015 - Erkenntnis 80 (3):521-553.
    Probabilistic dependence and independence are among the key concepts of Bayesian epistemology. This paper focuses on the study of one specific quantitative notion of probabilistic dependence. More specifically, section 1 introduces Keynes’s coefficient of dependence and shows how it is related to pivotal aspects of scientific reasoning such as confirmation, coherence, the explanatory and unificatory power of theories, and the diversity of evidence. The intimate connection between Keynes’s coefficient of dependence and scientific reasoning raises the question of how Keynes’s coefficient (...)
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  11.  11
    The Coefficient of External Reality.J. Mark Baldwin - 1891 - Mind 16:389.
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  12.  12
    Phenomenological coefficients in a concentrated alloy for the dumbbell mechanism.V. Barbe & M. Nastar - 2006 - Philosophical Magazine 86 (23):3503-3535.
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  13.  11
    Phenomenological coefficients in a dilute BCC alloy for the dumbbell mechanism.V. Barbe & M. Nastar - 2007 - Philosophical Magazine 87 (11):1649-1669.
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  14.  9
    Condensation coefficients in metal vapour deposition.V. N. E. Robinson & J. L. Robins - 1973 - Philosophical Magazine 28 (6):1419-1423.
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  15.  2
    Coefficients of diagnostic value.Beardsley Ruml - 1917 - Journal of Philosophy, Psychology and Scientific Methods 14 (23):633-637.
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  16.  7
    Coefficients of Diagnostic Value.Beardsley Ruml - 1917 - Journal of Philosophy, Psychology and Scientific Methods 14 (23):633-637.
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  17.  16
    Hall coefficient of liquid In-Te alloys.H. -U. Tschiener, R. Wolf & M. Wobst - 1975 - Philosophical Magazine 31 (1):237-242.
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  18.  40
    The influence of clustering coefficient on word-learning: how groups of similar sounding words facilitate acquisition.Rutherford Goldstein & Michael S. Vitevitch - 2014 - Frontiers in Psychology 5.
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  19.  23
    Hall coefficients of Al-Zn solid solution alloys.K. Osamura, Y. Hiraqka & Y. Murakami - 1973 - Philosophical Magazine 28 (2):321-334.
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  20.  26
    Entanglement of Art Coefficient, or Creativity.Kyoko Nakamura & Yukio Pegio Gunji - 2020 - Foundations of Science 25 (1):247-257.
    While entanglement is a phenomenon discussed in quantum theory, it can also be found in art. We propose to connect entanglement to art’s most fundamental question: what is creativity? For example, Marcel Duchamp found the essence of the creative act in the “art coefficient,” the difference and/or gap between the artist’s intention and realization which is created. This paper locates the common sense understanding of entanglement in an inseparable whole that ensures difference between the intention and realization. Seeing the artistic (...)
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  21.  10
    The hall coefficient of liquid mercury.N. Cusack & P. Kendall - 1961 - Philosophical Magazine 6 (63):419-427.
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  22.  27
    The cardinal coefficients of the Ideal $${{\mathcal {I}}_{f}}$$.Noboru Osuga & Shizuo Kamo - 2008 - Archive for Mathematical Logic 47 (7-8):653-671.
    In 2002, Yorioka introduced the σ-ideal ${{\mathcal {I}}_f}$ for strictly increasing functions f from ω into ω to analyze the cofinality of the strong measure zero ideal. For each f, we study the cardinal coefficients (the additivity, covering number, uniformity and cofinality) of ${{\mathcal {I}}_f}$.
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  23. The representations and coupling coefficients of su(n); application to su(4).D. J. Rowe & J. Repka - 1997 - Foundations of Physics 27 (8):1179-1209.
    Analytical expressions for the matrices and an explicit algorithm for computing Clebsch-Gordan coupling coefficients are given forsu(4) in au(3)-coupled basis as an example of the construction for anysu(n) in au(n−1) basis. The results areinduced from the known results foru(3) by means of the vector-coherent-state (VCS) theory of induced representations. The important recent result that makes this possible is the discovery that a complete set of shift tensors for the finitedimensional representations of reductive Lie algebras can be induced, by VCS (...)
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  24. Multi-attribute Decision Making based on Rough Neutrosophic Variational Coefficient Similarty Measure.Kalyan Modal, Surapati Pramanik & Florentin Smarandache - 2016 - Neutrosophic Sets and Systems 13:3-17.
    The purpose of this study is to propose new similarity measures namely rough variational coefficient similarity measure under the rough neutrosophic environment. The weighted rough variational coefficient similarity measure has been also defined. The weighted rough variational coefficient similarity measures between the rough ideal alternative and each alternative are xxxxx calculated to find the best alternative. The ranking order of all the alternatives can be determined by using the numerical values of similarity measures. Finally, an illustrative example has been provided (...)
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  25.  11
    On negative volume expansion coefficients.M. Blackman - 1958 - Philosophical Magazine 3 (32):831-838.
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  26.  20
    Measurements of self-diffusion coefficients in copper from the annealing of voids.H. G. Bowden & R. W. Balluffi - 1969 - Philosophical Magazine 19 (161):1001-1014.
  27.  3
    On the Hall coefficient in a disordered system: Random phase model.T. Kaneyoshi - 1976 - Philosophical Magazine 33 (1):11-20.
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  28.  36
    Is Inequality Among Universities Increasing? Gini Coefficients and the Elusive Rise of Elite Universities.Willem Halffman & Loet Leydesdorff - 2010 - Minerva 48 (1):55-72.
    One of the unintended consequences of the New Public Management (NPM) in universities is often feared to be a division between elite institutions focused on research and large institutions with teaching missions. However, institutional isomorphisms provide counter-incentives. For example, university rankings focus on certain output parameters such as publications, but not on others (e.g., patents). In this study, we apply Gini coefficients to university rankings in order to assess whether universities are becoming more unequal, at the level of both (...)
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  29.  14
    Determination of the thermodiffusion coefficient in three binary organic liquid mixtures by the thermogravitational method.M. M. Bou-Ali, J. J. Valencia, J. A. Madariaga, C. Santamaría, O. Ecenarro & J. F. Dutrieux - 2003 - Philosophical Magazine 83 (17-18):2011-2015.
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  30.  3
    Sign of the hall coefficient in hopping-type charge-transport.T. Holstein - 1973 - Philosophical Magazine 27 (1):225-233.
  31.  60
    An Early History of the Heritability Coefficient Applied to Humans.Stephen M. Downes & Eric Turkheimer - 2022 - Biological Theory 17 (2):126-137.
    Fisher’s 1918 paper accomplished two distinct goals: unifying discrete Mendelian genetics with continuous biometric phenotypes and quantifying the variance components of variation in complex human characteristics. The former contributed to the foundation of modern quantitative genetics; the latter was adopted by social scientists interested in the pursuit of Galtonian nature-nurture questions about the biological and social origins of human behavior, especially human intelligence. This historical divergence has produced competing notions of the estimation of variance ratios referred to as heritability. Jay (...)
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  32.  21
    When the coefficient hits the clinic: Effect size and the size of the effect.Brendan Maher - 1998 - Behavioral and Brain Sciences 21 (2):211-211.
    The usefulness of effect-size differs in utilitarian experiments from its use in theory corroborations. Chow introduces the question of the relationship of effect-size to practical validity and the role of the assessment of “importance” in this. This review develops this question and suggests the actuarial table as a replacement for effect-size in practical decision-making.
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  33.  17
    Calculation of the Hall coefficient for a mixed curvature, mixed field energy surface by the PFES approach.P. H. Cowley & R. S. Allgaier - 1974 - Philosophical Magazine 29 (1):111-119.
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  34.  14
    Calculation of the Hall coefficient in the hexagonal Group II metals by the PFES method.P. H. Cowley & J. Stringer - 1974 - Philosophical Magazine 29 (1):99-109.
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  35.  6
    The nernst-ettinghausen coefficient and the kondo effect in copper and gold.R. Fletcher - 1972 - Philosophical Magazine 25 (1):87-95.
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  36.  10
    Onsager's coefficients and diffusion laws—a Monte Carlo study.Markus A. Hartmann, Richard Weinkamer, Peter Fratzl *, JiŘÍ Svoboda & Franz Dieter Fischer - 2005 - Philosophical Magazine 85 (12):1243-1260.
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  37.  3
    Measurement of the hall coefficient in liquid metals by the corbino method.P. W. Shackle - 1970 - Philosophical Magazine 21 (173):987-1002.
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  38.  10
    Econometrics : A Varying Coefficients Approach.Baldev Raj & Aman Ullah - 2010 - Routledge.
    Originally published in 1981, this book considers one particular area of econometrics- the linear model- where significant recent advances have been made. It considers both single and multiequation models with varying co-efficients, explains the various theories and techniques connected with these and goes on to describe the various applications of the models. Whilst the detailed explanation of the models will interest primarily econometrics specialists, the implications of the advances outlined and the applications of the models will intrest a wide range (...)
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  39.  10
    Polynomials with computable coefficients.R. L. Goodstein - 1970 - Notre Dame Journal of Formal Logic 11 (4):447-448.
  40. Multi criteria decision making using correlation coefficient under rough neutrosophic environment.Surapati Pramanik, Rumi Roy, Tapan Kumar Roy & Florentin Smarandache - 2017 - Neutrosophic Sets and Systems 17:29-38.
    In this paper, we define correlation coefficient measure between any two rough neutrosophic sets. We also prove some of its basic properties.. We develop a new multiple attribute group decision making method based on the proposed correlation coefficient measure. An illustrative example of medical diagnosis is solved to demonstrate the applicability and effecriveness of the proposed method.
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  41.  10
    The implication of the coefficient of centrality for assessing the meaning of the mean.David Trafimow - 2014 - Frontiers in Psychology 5.
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  42.  4
    The reliability coefficient as a per cent.R. C. Tryon - 1930 - Psychological Review 37 (2):140-157.
  43.  9
    Viscosities, frictional coefficients and self-diffusion in liquid metals.Charles J. Vadovic & C. Phillip Colver - 1971 - Philosophical Magazine 24 (189):509-514.
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  44.  8
    Change in the hall coefficient during ordering of Cu3Au.A. R. von Neida & R. B. Gordon - 1962 - Philosophical Magazine 7 (79):1129-1143.
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  45.  10
    Study on Fatigue Coefficient of Airline Pilots.Peiwen Zhang, Wenke Zhao, Lan Shi, Yu Wang, Hong Sun & Zhen Sun - 2022 - Frontiers in Psychology 13.
    This paper uses the Multidimensional Fatigue Inventory to investigate the fatigue status of pilots, and the reliability and validity of the scale are tested by Cronbach’s α and exploratory factor analysis. The founding shows that mild fatigue and above accounted for 67.7%. For further quantify the impact of different flights on pilots’ fatigue, research improves the fatigue coefficient model based on the results of pilot fatigue feeling questionnaire. Combined with multifactor analysis of variance and multiple linear regression, it is found (...)
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  46.  5
    Remark on the seebeck coefficient of polar semiconductors.J. Appel - 1961 - Philosophical Magazine 6 (61):167-169.
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  47. Determination of diffusion coefficients in the gas and liquid phases by chromatographs.J. F. K. Huber - 1968 - Method. Phys. Anal 4:285-299.
  48.  2
    A Device for Determining Coefficients of Partial Correlation.C. L. Hull - 1921 - Psychological Review 28 (5):377-383.
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  49.  4
    The Hall coefficients of α-phase Ag-Li alloys in the range 6-300°K.C. M. Hurd, J. E. A. Alderson, R. D. Barnard & L. D. Calvert - 1969 - Philosophical Magazine 20 (167):943-949.
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  50.  21
    The consequences of ignoring measurement invariance for path coefficients in structural equation models.Nigel Guenole & Anna Brown - 2014 - Frontiers in Psychology 5.
    We report a Monte Carlo study examining the effects of two strategies for handling measurement non-invariance – modeling and ignoring non-invariant items – on structural regression coefficients between latent variables measured with item response theory models for categorical indicators. These strategies were examined across four levels and three types of non-invariance – non-invariant loadings, non-invariant thresholds, and combined non-invariance on loadings and thresholds – in simple, partial, mediated and moderated regression models where the non-invariant latent variable occupied predictor, mediator, (...)
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