Results for 'Variables (Mathematics '

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  1.  35
    Mathematical Variables as Indigenous Concepts.Roy Wagner - 2009 - International Studies in the Philosophy of Science 23 (1):1-18.
    This paper explores the semiotic status of algebraic variables. To do that we build on a structuralist and post-structuralist train of thought going from Mauss and L vi-Strauss to Baudrillard and Derrida. We import these authors' semiotic thinking from the register of indigenous concepts (such as mana), and apply it to the register of algebra via a concrete case study of generating functions. The purpose of this experiment is to provide a philosophical language that can explore the openness of (...)
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  2. Mathematical quantum theory I: Random ultrafilters as hidden variables.William Boos - 1996 - Synthese 107 (1):83 - 143.
    The basic purpose of this essay, the first of an intended pair, is to interpret standard von Neumann quantum theory in a framework of iterated measure algebraic truth for mathematical (and thus mathematical-physical) assertions — a framework, that is, in which the truth-values for such assertions are elements of iterated boolean measure-algebras (cf. Sections 2.2.9, 5.2.1–5.2.6 and 5.3 below).The essay itself employs constructions of Takeuti's boolean-valued analysis (whose origins lay in work of Scott, Solovay, Krauss and others) to provide a (...)
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  3.  10
    A Mathematical Model of a Fishery with Variable Market Price: Sustainable Fishery/over-exploitation.Fulgence Mansal, Tri Nguyen-Huu, Pierre Auger & Moussa Balde - 2014 - Acta Biotheoretica 62 (3):305-323.
    We present a mathematical bioeconomic model of a fishery with a variable price. The model describes the time evolution of the resource, the fishing effort and the price which is assumed to vary with respect to supply and demand. The supply is the instantaneous catch while the demand function is assumed to be a monotone decreasing function of price. We show that a generic market price equation (MPE) can be derived and has to be solved to calculate non trivial equilibria (...)
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  4.  14
    Predicting Mathematics Achievement in Secondary Education: The Role of Cognitive, Motivational, and Emotional Variables.Amanda Abín, José Carlos Núñez, Celestino Rodríguez, Marisol Cueli, Trinidad García & Pedro Rosário - 2020 - Frontiers in Psychology 11.
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  5. On variables in mathematics and in natural science.Karl Menger - 1954 - British Journal for the Philosophy of Science 5 (18):134-142.
    Attempting to answer the question "what is a variable?," menger discusses the following topics: (1) numerical variables and variables in the sense of the logicians, (2) variable quantities, (3) scientific variable quantities, (4) functions, And (5) variable quantities and functions in pure and applied analysis. (staff).
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  6. A mathematical logic without variables..John Barkley Rosser - 1935 - [Princeton? N.J.,: [Princeton? N.J..
     
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  7.  3
    On Variables in Mathematics and in Natural Science.Karl Menger - 1957 - Journal of Symbolic Logic 22 (3):300-301.
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  8.  19
    The Metaphysics and Mathematics of Arbitrary Objects.Leon Horsten - 2019 - Cambridge: Cambridge University Press.
    Building on the seminal work of Kit Fine in the 1980s, Leon Horsten here develops a new theory of arbitrary entities. He connects this theory to issues and debates in metaphysics, logic, and contemporary philosophy of mathematics, investigating the relation between specific and arbitrary objects and between specific and arbitrary systems of objects. His book shows how this innovative theory is highly applicable to problems in the philosophy of arithmetic, and explores in particular how arbitrary objects can engage with (...)
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  9.  1
    The reciprocal relationship between mathematics self-efficacy and mathematics performance in US high school students: Instrumental variables estimates and gender differences.Chris Sakellariou - 2022 - Frontiers in Psychology 13.
    ObjectiveTo investigate the reciprocal relationship between high school students’ academic self-efficacy and achievement in mathematics using US data from the HSLS:2009 and first follow-up longitudinal surveys, while accounting for biases in effect estimates due to unobserved heterogeneity.MethodsInstrumental Variables regressions were estimated, to derive causal effect estimates of earlier math self-efficacy on later math achievement and vice versa. Particular attention was paid to testing the validity of instruments used. Models were estimated separately by gender, to uncover gender differences in (...)
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  10.  19
    A Non-Integer Variable Order Mathematical Model of Human Immunodeficiency Virus and Malaria Coinfection with Time Delay.A. A. M. Arafa, Mohamed Khalil & A. Sayed - 2019 - Complexity 2019:1-13.
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  11.  10
    Fundamental Conceptions of Modern Mathematics--Variables and Quantities.Robert P. Richardson & Edward H. Landis - 1917 - Journal of Philosophy, Psychology and Scientific Methods 14 (2):49-51.
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  12.  33
    The word?variable? in logic, mathematics and economics.Harald Dickson - 1971 - Theory and Decision 1 (3):252-268.
  13.  6
    Sex differences in mathematical reasoning ability: Causes, consequences, and variability.Brian Mackenzie - 1988 - Behavioral and Brain Sciences 11 (2):201-202.
  14. Menger Karl. Are variables necessary in calculus? The American mathematical monthly, vol. 56 , pp. 609–620.Alonzo Church - 1950 - Journal of Symbolic Logic 15 (1):61-61.
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  15.  7
    A variable neighbourhood search for minimization of operation times through warehouse layout optimization.Jon Díaz, Haizea Rodriguez, Jenny Fajardo-Calderín, Ignacio Angulo & Enrique Onieva - forthcoming - Logic Journal of the IGPL.
    For companies involved in the supply chain, proper warehousing management is crucial. Warehouse layout arrangement and operation play a critical role in a company’s ability to maintain and improve its competitiveness. Reducing costs and increasing efficiency are two of the most crucial warehousing goals. Deciding on the best warehouse layout is a remarkable optimization problem. This paper uses an optimization method to set bin allocations within an automated warehouse with particular characteristics. The warehouse’s initial layout and the automated platforms limit (...)
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  16.  4
    Self-Efficacy Between Previous and Current Mathematics Performance of Undergraduate Students: An Instrumental Variable Approach to Exposing a Causal Relationship.Yusuf F. Zakariya - 2021 - Frontiers in Psychology 11.
    PurposeSelf-efficacy has been argued theoretically and shown empirically to be an essential construct for students’ improved learning outcomes. However, there is a dearth of studies on its causal effects on performance in mathematics among university students. Meanwhile, it will be erroneous to assume that results from other fields of studies generalize to mathematics learning due to the task-specificity of the construct. As such, attempts are made in the present study to provide evidence for a causal relationship between self-efficacy (...)
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  17. Explanatory model of emotional-cognitive variables in school mathematics performance: a longitudinal study in primary school.Gamal Cerda, Carlos Pérez, José I. Navarro, Manuel Aguilar, José Antonio Casas & Estivaliz Aragon - 2015 - Frontiers in Psychology 6:146673.
    This study tested a structural model of cognitive-emotional explanatory variables to explain performance in mathematics. The predictor variables assessed were related to students’ level of development of early mathematical competencies (EMCs), specifically, relational and numerical competencies, predisposition toward mathematics, and the level of logical intelligence in a population of primary school Chilean students (n = 634). This longitudinal study also included the academic performance of the students during a period of four years as a variable. The (...)
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  18.  23
    Who uses more strategies? Linking mathematics anxiety to adults’ strategy variability and performance on fraction magnitude tasks.Pooja G. Sidney, Rajaa Thalluri, Morgan L. Buerke & Clarissa A. Thompson - 2018 - Thinking and Reasoning 25 (1):94-131.
    ABSTRACTAdults use a variety of strategies to reason about fraction magnitudes, and this variability is adaptive. In two studies, we examined the relationships between mathematics anxiety, working memory, strategy variability and performance on two fraction tasks: fraction magnitude comparison and estimation. Adults with higher mathematics anxiety had lower accuracy on the comparison task and greater percentage absolute error on the estimation task. Unexpectedly, mathematics anxiety was not related to variable strategy use. However, variable strategy use was linked (...)
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  19.  3
    Numbers, variables and Mr. Russell's philosophy.Robert Porterfield Richardson & Edward Horace Landis - 1915 - London,: The Open court publishing company. Edited by Edward H. Landis.
  20.  9
    Review: Harald Dickson, Variable, Function, Derivative. A Semantic Study in Mathematics and Economics. [REVIEW]J. Barkley Rosser - 1968 - Journal of Symbolic Logic 33 (2):284-285.
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  21.  18
    Fundamental Conceptions of Modern Mathematics--Variables and Quantities. [REVIEW]A. P. Brogan - 1917 - Journal of Philosophy, Psychology and Scientific Methods 14 (2):49-51.
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  22.  8
    Menger Karl. On variables in mathematics and in natural science. The British journal for the philosophy of science, vol. 5 , pp. 134–142.Menger Karl. Variables, de diverses natures. Bulletin des sciences mathématiques, ser. 2 vol. 78 , pp. 229–234.Menger Karl. What are variables and constants? Science, vol. 123 , pp. 547–548. [REVIEW]Alonzo Church - 1957 - Journal of Symbolic Logic 22 (3):300-301.
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  23.  3
    Review: Karl Menger, On Variables in Mathematics and in Natural Science; Karl Menger, Variables, de Diverses Natures; Karl Menger, What are Variables and Constants. [REVIEW]Alonzo Church - 1957 - Journal of Symbolic Logic 22 (3):300-301.
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  24.  22
    Harald Dickson. Variable, function, derivative. A semantic study in mathematics and economics. Handelshögskolan i Göteborg, Skrifter 1967, no. 1. Akademiförlaget, Göteborg1967, 176 pp. [REVIEW]J. Barkley Rosser - 1968 - Journal of Symbolic Logic 33 (2):284-285.
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  25.  5
    Improving the Precision of Ability Estimates Using Time-On-Task Variables: Insights From the PISA 2012 Computer-Based Assessment of Mathematics.Denise Reis Costa, Maria Bolsinova, Jesper Tijmstra & Björn Andersson - 2021 - Frontiers in Psychology 12.
    Log-file data from computer-based assessments can provide useful collateral information for estimating student abilities. In turn, this can improve traditional approaches that only consider response accuracy. Based on the amounts of time students spent on 10 mathematics items from the PISA 2012, this study evaluated the overall changes in and measurement precision of ability estimates and explored country-level heterogeneity when combining item responses and time-on-task measurements using a joint framework. Our findings suggest a notable increase in precision with the (...)
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  26.  42
    A New Book of Numbers: On the Precise Definition of Quantum Variables and the Relationships between Mathematics and Physics in Quantum Theory. [REVIEW]Arkady Plotnitsky - 2006 - Foundations of Physics 36 (1):30-60.
    Following Asher Peres’s observation that, as in classical physics, in quantum theory, too, a given physical object considered “has a precise position and a precise momentum,” this article examines the question of the definition of quantum variables, and then the new type (as against classical physics) of relationships between mathematics and physics in quantum theory. The article argues that the possibility of the precise definition and determination of quantum variables depends on the particular nature of these relationships.
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  27.  8
    Variable-free semantics.Michael Böttner & Wolf Thümmel (eds.) - 2000 - Osnabrück: Secolo.
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  28. The Antinomy of the Variable: A Tarskian Resolution.Bryan Pickel & Brian Rabern - 2016 - Journal of Philosophy 113 (3):137-170.
    Kit Fine has reawakened a puzzle about variables with a long history in analytic philosophy, labeling it “the antinomy of the variable”. Fine suggests that the antinomy demands a reconceptualization of the role of variables in mathematics, natural language semantics, and first-order logic. The difficulty arises because: (i) the variables ‘x’ and ‘y’ cannot be synonymous, since they make different contributions when they jointly occur within a sentence, but (ii) there is a strong temptation to say (...)
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  29. Variables of Scientific Concept Modeling and Their Formalization.Vladimir Kuznetsov - 2009 - In В.И Маркин (ed.), Philosophy of mathematics: current problems. Proceedings of the second international conference (Философия математики: актуальные проблемы. Тезисы второй международной конференции). pp. 268-270.
    There are no universally adopted answers to the natural questions about scientific concepts: What are they? What is their structure? What are their functions? How many kinds of them are there? Do they change? Ironically, most if not all scientific monographs or articles mention concepts, but the scientific studies of scientific concepts are rare in occurrence. It is well known that the necessary stage of any scientific study is constructing the model of objects in question. Many years logical modeling was (...)
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  30.  34
    Mathematical Thinking in Chemistry.Guillermo Restrepo & José L. Villaveces - 2012 - Hyle 18 (1):3 - 22.
    Mathematical chemistry is often thought to be a 20th-century subdiscipline of chemistry, but in this paper we discuss several early chemical ideas and some landmarks of chemistry as instances of the mathematical way of thinking; many of them before 1900. By the mathematical way of thinking, we follow Weyl's description of it in terms of functional thinking, i.e. setting up variables, symbolizing them, and seeking for functions relating them. The cases we discuss are Plato's triangles, Geoffroy's affinity table, Lavoisier's (...)
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  31.  63
    Free-variable axiomatic foundations of infinitesimal analysis: A fragment with finitary consistency proof.Rolando Chuaqui & Patrick Suppes - 1995 - Journal of Symbolic Logic 60 (1):122-159.
    In treatises or advanced textbooks on theoretical physics, it is apparent that the way mathematics is used is very different from what is to be found in books of mathematics. There is, for example, no close connection between books on analysis, on the one hand, and any classical textbook in quantum mechanics, for example, Schiff, [11], or quite recent books, for example Ryder, [10], on quantum field theory. The differences run a good deal deeper than the fact that (...)
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  32.  67
    Variable, Structure, and Restricted Generality.S. Gandon - 2013 - Philosophia Mathematica 21 (2):200-219.
    From 1905–1908 onward, Russell thought that his new ‘substitutional theory’ provided him with the right framework to resolve the set-theoretic paradoxes. Even if he did not finally retain this resolution, the substitutional strategy was instrumental in the development of his thought. The aim of this paper is not historical, however. It is to show that Russell's substitutional insight can shed new light on current issues in philosophy of mathematics. After having briefly expounded Russell's key notion of a ‘structured variable’, (...)
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  33.  45
    Random variables and integral logic.Karim Khanaki & Seyed-Mohammad Bagheri - 2011 - Mathematical Logic Quarterly 57 (5):494-503.
    We study model theory of random variables using finitary integral logic. We prove definability of some probability concepts such as having F as distribution function, independence and martingale property. We then deduce Kolmogorov's existence theorem from the compactness theorem.
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  34. Fundamental conceptions of modern mathematics..Robert Porterfield Richardson & Edward Horace Landis - 1916 - London,: The Open court publishing company. Edited by Edward H. Landis.
    [pt. 1] Variables and quantities, with a discussion of the general conception of functional relation. 1916.
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  35. Hidden variables and Bell's theorem in quantum mechanics.H. Kummer & R. G. McLean - 1994 - Foundations of Physics 24 (5):739-751.
    In the present paper we give a precise definition of a hidden-variable theory for quantum mechanics, whereby we adopt the weakest possible definition of a hidden-variable theory, which is compatible with the assumption that the bounded observables of a quantum mechanical system are represented by the elements of the real part Ar of a W*-algebra A (of the most general type) and the states are represented by the “normal states” (in the mathematical sense) of A. We then go on to (...)
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  36.  34
    Mathematical Evaluation Methodology Among Residents, Social Interaction andEnergy Efficiency, For Socialist Buildings Typology,Case of Kruja (Albania).Klodjan Xhexhi - 2020 - Test Engineering and Management 83 (March-April 2020):17005-17020.
    Socialist buildings in the city of Kruja (Albania) date back after the Second World War between the years 1945-1990. These buildings were built during the time of the socialist Albanian dictatorship and the totalitarian communist regime. A questionnaire with 30 questions was conducted and 14 people were interviewed. The interviewed residents belong to a certain area of the city of Kruja. Based on the results obtained, diagrams have been conceived and mathematical regression models have been developed which will serve as (...)
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  37.  20
    Julia Robinson. Recursive functions of one variable. Proceedings of the American Mathematical Society, vol. 19 , pp. 815–820. [REVIEW]Martin Davis - 1970 - Journal of Symbolic Logic 35 (3):476.
  38.  63
    A Mathematical Model of Juglar Cycles and the Current Global Crisis.Leonid Grinin, Andrey Korotayev & Sergey Malkov - 2010 - In Leonid Grinin, Peter Herrmann, Andrey Korotayev & Arno Tausch (eds.), History & Mathematics: Processes and Models of Global Dynamics.
    The article presents a verbal and mathematical model of medium-term business cycles (with a characteristic period of 7–11 years) known as Juglar cycles. The model takes into account a number of approaches to the analysis of such cycles; in the meantime it also takes into account some of the authors' own generalizations and additions that are important for understanding the internal logic of the cycle, its variability and its peculiarities in the present-time conditions. The authors argue that the most important (...)
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  39. The proper treatment of variables in predicate logic.Kai F. Wehmeier - 2018 - Linguistics and Philosophy 41 (2):209-249.
    In §93 of The Principles of Mathematics, Bertrand Russell observes that “the variable is a very complicated logical entity, by no means easy to analyze correctly”. This assessment is borne out by the fact that even now we have no fully satisfactory understanding of the role of variables in a compositional semantics for first-order logic. In standard Tarskian semantics, variables are treated as meaning-bearing entities; moreover, they serve as the basic building blocks of all meanings, which are (...)
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  40.  15
    Alfred Tarski and Steven Givant. A formalization of set theory without variables. American Mathematical Society colloquium publications, vol. 41. American Mathematical Society, Providence1987, xxi + 318 pp. [REVIEW]István Németi - 1990 - Journal of Symbolic Logic 55 (1):350-352.
  41. Applied mathematics, existential commitment and the Quine-Putnam indispensability thesis.Jody Azzouni - 1997 - Philosophia Mathematica 5 (3):193-209.
    The ramifications are explored of taking physical theories to commit their advocates only to ‘physically real’ entities, where ‘physically real’ means ‘causally efficacious’ (e.g., actual particles moving through space, such as dust motes), the ‘physically significant’ (e.g., centers of mass), and the merely mathematical—despite the fact that, in ordinary physical theory, all three sorts of posits are quantified over. It's argued that when such theories are regimented, existential quantification, even when interpreted ‘objectually’ (that is, in terms of satisfaction via (...), rather than by substitution-instances) need not imply any ontological commitments. (shrink)
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  42.  15
    Andrews P. B.. A transfinite type theory with type variables. Studies in logic and the foundations of mathematics. North-Holland Publishing Company, Amsterdam 1965, xv + 143 pp. [REVIEW]R. O. Gandy - 1968 - Journal of Symbolic Logic 33 (1):112-113.
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  43.  7
    ichardson's and Landis's Fundamental Conceptions of Modern Mathematics - Variables and Quantities. [REVIEW]A. P. Brogan - 1917 - Journal of Philosophy 14 (2):49.
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  44.  4
    Jan Krajíček. Forcing with random variables and proof complexity. London Mathematical Society Lecture Note Series, vol. 232. Cambridge University Press, 2011, xvi + 247 pp. [REVIEW]Sam Buss - 2012 - Bulletin of Symbolic Logic 18 (4):576-578.
  45.  18
    Mathematical Practitioners and the Transformation of Natural Knowledge in Early Modern Europe.John Schuster, Steven Walton & Lesley Cormack (eds.) - 2017 - Springer Verlag.
    This book argues that we can only understand transformations of nature studies in the Scientific Revolution if we take seriously the interaction between practitioners and scholars. These are not in opposition, however. Theory and practice are end points on a continuum, with some participants interested only in the practical, others only in the theoretical, and most in the murky intellectual and material world in between. It is this borderland where influence, appropriation, and collaboration have the potential to lead to new (...)
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  46.  25
    S. Ú. Maslov, G. É. Minc, and V. P. Orévkov. Nérazréšimost′ ν konstruktivnom isčislénii prédikatov nékotoryh klassov formul, sodéržaščih tol′ko odnoméstnyé prédikatnyé péréménnyé. Doklady Akadémii Nauk, vol. 163 , pp. 295–297. - S. Ju. Maslov, G. E. Minc, and V. P. Orevkov. Unsolvability in the constructive predicate calculus of certain classes of formulas containing only monadic predicate variables. Translation of the preceding by E. Mendelson. Soviet mathematics, vol. 6 , pp. 918–920. [REVIEW]Georg Kreisel - 1970 - Journal of Symbolic Logic 35 (1):143-144.
  47.  9
    Slepian David. On the number of symmetry types of Boolean functions of n variables. Canadian journal of mathematics, vol 5 , pp. 135–193. Reprinted in the Bell Telephone System technical publications, monograph 2154. [REVIEW]Raymond J. Nelson - 1955 - Journal of Symbolic Logic 20 (1):70-70.
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  48.  8
    Mathematics Self-Concept in New Zealand Elementary School Students: Evaluating Age-Related Decline.Penelope W. St J. Watson, Christine M. Rubie-Davies & Kane Meissel - 2019 - Frontiers in Psychology 10.
    The underrepresentation of females in mathematics-related fields may be explained by gender differences in mathematics self-concept (rather than ability) favoring males. Mathematics self-concept typically declines with student age, differs with student ethnicity, and is sensitive to teacher influence in early schooling. We investigated whether change in mathematics self-concept occurred within the context of a longitudinal intervention to raise and sustain teacher expectations of student achievement. This experimental study was conducted with a large sample of New Zealand (...)
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  49.  15
    Mathematical Physics and Elementary Logic.Brent Mundy - 1990 - PSA Proceedings of the Biennial Meeting of the Philosophy of Science Association 1990 (1):288-301.
    Modern mathematical physics uses real-number variables, and therefore presupposes set theory. (A real number is defined as a certain kind of set or sequence of natural or rational numbers.) Set theory is also used to define the operations of differential calculus, needed to state physical laws as differential equations constraining the numerical variables representing physical quantities. The derivative f' = df(t)/dt is defined as the limit of an infinite sequence of terms [f(t+e)-f(t)]/e as e → 0, and this (...)
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  50.  13
    Sources of dynamic variability in NF‐κB signal transduction: A mechanistic model.Janina Mothes, Dorothea Busse, Bente Kofahl & Jana Wolf - 2015 - Bioessays 37 (4):452-462.
    The transcription factor NF‐κB (p65/p50) plays a central role in the coordination of cellular responses by activating the transcription of numerous target genes. The precise role of the dynamics of NF‐κB signalling in regulating gene expression is still an open question. Here, we show that besides external stimulation intracellular parameters can influence the dynamics of NF‐κB. By applying mathematical modelling and bifurcation analyses, we show that NF‐κB is capable of exhibiting different types of dynamics in response to the same stimulus. (...)
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