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Journal articles on the topic 'Evolution of principles'

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Published: 24 April 2022

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1

Boesch, Christophe. "Principles of human evolution." Journal of Evolutionary Biology 12, no. 1 (January 1999): 198. http://dx.doi.org/10.1046/j.1420-9101.1999.0002i.x.

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2

Xue, Y. "Principles of human evolution." Heredity 94, no. 2 (January 27, 2005): 271. http://dx.doi.org/10.1038/sj.hdy.6800579.

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3

Behera, Narayan. "Variational principles in evolution." Bulletin of Mathematical Biology 58, no. 1 (January 1996): 175–202. http://dx.doi.org/10.1007/bf02458287.

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4

Stoll, Claude. "Principles of Human Evolution." Annales de Génétique 47, no. 1 (January 2004): 104. http://dx.doi.org/10.1016/j.anngen.2004.02.002.

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5

Behera, N. "Variational principles in evolution." Bulletin of Mathematical Biology 58, no. 1 (January 1996): 175–202. http://dx.doi.org/10.1016/0092-8240(95)00316-9.

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6

Crow, James F. "Some optimality principles in evolution." Behavioral and Brain Sciences 14, no. 2 (June 1991): 218–19. http://dx.doi.org/10.1017/s0140525x00066206.

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7

Prud'homme, B., N. Gompel, and S. B. Carroll. "Emerging principles of regulatory evolution." Proceedings of the National Academy of Sciences 104, Supplement 1 (May 9, 2007): 8605–12. http://dx.doi.org/10.1073/pnas.0700488104.

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8

Wilson, Peter J., and C. R. Hallpike. "The Principles of Social Evolution." Man 23, no. 3 (September 1988): 584. http://dx.doi.org/10.2307/2803296.

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9

Wichert, Andrzej. "Principles of Quantum-like Evolution." Open Systems & Information Dynamics 26, no. 02 (June 2019): 1950007. http://dx.doi.org/10.1142/s1230161219500070.

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We present a case study of quantum-like probabilities that are motivated by quantum cognition. We introduce quantum-like evolution that is l2 norm preserving but in which the matrix does not need to be unitary. We show how to map any 2 × 2 stochastic matrix to an l2 norm preserving balanced phase matrix that maps real vectors of length one into complex vectors of length one. Quantum-like evolution can simulate a probability distribution of open system in which the operator is not unitary but norm preserving. Such a kind of behaviour is studied in quantum cognition. By tensor product higher dimensional balanced phase matrices can be built. Quantum-like evolution can simulate either unitary open one by coding the phase of input vector into the phase of a balanced phase matrix, a Markov chain or an alternative evolution that can lead to fixed, periodic or chaotic behaviour resulting in strange oscillations.
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10

Simmons, Jack, Duong Vo, and Gene Mesco. "The Universal Principles of Evolution." World Futures 70, no. 7 (October 3, 2014): 426–41. http://dx.doi.org/10.1080/02604027.2014.977644.

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11

Bullard, Dennis E., and Blaine S. Nashold. "Evolution of Principles of Stereotactic Neurosurgery." Neurosurgery Clinics of North America 6, no. 1 (January 1995): 27–41. http://dx.doi.org/10.1016/s1042-3680(18)30475-3.

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12

Doerr, Benjamin, and Weijie Zheng. "Working principles of binary differential evolution." Theoretical Computer Science 801 (January 2020): 110–42. http://dx.doi.org/10.1016/j.tcs.2019.08.025.

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13

Striedter, Georg F. "Précis of Principles of Brain Evolution." Behavioral and Brain Sciences 29, no. 1 (February 2006): 1–12. http://dx.doi.org/10.1017/s0140525x06009010.

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Brain evolution is a complex weave of species similarities and differences, bound by diverse rules and principles. This book is a detailed examination of these principles, using data from a wide array of vertebrates but minimizing technical details and terminology. It is written for advanced undergraduates, graduate students, and more senior scientists who already know something about “the brain,” but want a deeper understanding of how diverse brains evolved. The book's central theme is that evolutionary changes in absolute brain size tend to correlate with many other aspects of brain structure and function, including the proportional size of individual brain regions, their complexity, and their neuronal connections. To explain these correlations, the book delves into rules of brain development and asks how changes in brain structure impact function and behavior. Two chapters focus specifically on how mammal brains diverged from other brains and how Homo sapiens evolved a very large and “special” brain.
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14

Demetrius, L. "Directionality principles in thermodynamics and evolution." Proceedings of the National Academy of Sciences 94, no. 8 (April 15, 1997): 3491–98. http://dx.doi.org/10.1073/pnas.94.8.3491.

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15

Huang, Zixia, Klara Nahrstedt, and Ralf Steinmetz. "Evolution of temporal multimedia synchronization principles." ACM Transactions on Multimedia Computing, Communications, and Applications 9, no. 1s (October 2013): 1–23. http://dx.doi.org/10.1145/2490821.

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16

Katsnelson, Mikhail I., Yuri I. Wolf, and Eugene V. Koonin. "Towards physical principles of biological evolution." Physica Scripta 93, no. 4 (February 23, 2018): 043001. http://dx.doi.org/10.1088/1402-4896/aaaba4.

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17

Heckers, Stephan, and Kenneth S. Kendler. "The evolution of Kraepelin's nosological principles." World Psychiatry 19, no. 3 (September 15, 2020): 381–88. http://dx.doi.org/10.1002/wps.20774.

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18

Fairfield, G., D. J. Hunter, D. Mechanic, and F. Rosleff. "Managed care: origins, principles, and evolution." BMJ 314, no. 7097 (June 21, 1997): 1823. http://dx.doi.org/10.1136/bmj.314.7097.1823.

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19

Hackl, Klaus, and Franz Dieter Fischer. "On the relation between the principle of maximum dissipation and inelastic evolution given by dissipation potentials." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 464, no. 2089 (October 16, 2007): 117–32. http://dx.doi.org/10.1098/rspa.2007.0086.

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We study the evolution of systems described by internal variables. After the introduction of thermodynamic forces and fluxes, both the dissipation and dissipation potential are defined. Then, the principle of maximum dissipation (PMD) and a minimum principle for the dissipation potential are developed in a variational formulation. Both principles are related to each other. Several cases are shown where both principles lead to the same evolution equations for the internal variables. However, also counterexamples are reported where such an equivalence is not valid. In this case, an extended PMD can be formulated.
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20

Phillips, Jonathan D. "Self-organization and landscape evolution." Progress in Physical Geography: Earth and Environment 19, no. 3 (September 1995): 309–21. http://dx.doi.org/10.1177/030913339501900301.

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Self-organization is common in earth surface systems, and related principles have been proposed as general principles applicable to geomorphic systems. Non-self-organizing behaviour is also observed in geomorphic systems, however. If a reasonable box-and-arrow diagram and associated qualitative interaction matrix can be devised for a geomorphic system, one can determine whether or not (or under what conditions) the system is self-organizing. Both self- organizing (at-a-station hydraulic geometry) and non-self-organizing (soil landscape evolution) geomorphic systems are illustrated. The development of topographic relief demonstrates the principle that landscape evolution may be characterized by both modes at different times or under different circumstances. Increasing relief, involving a mean divergence of elevations, may be self- organizing. Topographic development by decreasing relief, where elevations generally converge, is always non-self-organizing. Self-organization in geomorphology may be similar to steady-state equilibrium, in that its explanatory value lies not in general applicability, but in distinguishing between fundamentally different modes of landscape development.
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21

Hochachka, P. W. "The nature of evolution and adaptation: resolving the unity–diversity paradox." Canadian Journal of Zoology 66, no. 5 (May 1, 1988): 1146–52. http://dx.doi.org/10.1139/z88-167.

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The concept of the unity of biochemical structures and functions creates the problem for biology of how to account for the pervasive species diversity and obvious adaptedness of living systems. A review of the current literature indicates that four principles, (i) the principle of conservation of critical sequences in both structural and regulatory loci, (ii) the principle of unique assembly of parts via unique (tissue-specific and temporal) activation of regulatory loci, (iii) the principle of genetic innovation via mechanisms internal or external to the genome, and (iv) the principle of biochemical adaptation via selection for favourable alleles of structural and regulatory genes or selection for advantageous genetic innovations, seem capable of resolving the paradox of the unity of biochemical systems despite patently vast species diversity and species adaptation. Evaluation of the current status of each of these principles suggests the especial need for more experimental studies of the role of regulatory loci in species diversification and adaptation.
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22

Ván, P., and R. Kovács. "Variational principles and nonequilibrium thermodynamics." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, no. 2170 (March 30, 2020): 20190178. http://dx.doi.org/10.1098/rsta.2019.0178.

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Variational principles play a fundamental role in deriving the evolution equations of physics. They work well in the case of non-dissipative evolution, but for dissipative systems, the variational principles are not unique and not constructive. With the methods of modern nonequilibrium thermodynamics, one can derive evolution equations for dissipative phenomena and, surprisingly, in several cases, one can also reproduce the Euler–Lagrange form and symplectic structure of the evolution equations for non-dissipative processes. In this work, we examine some demonstrative examples and compare thermodynamic and variational techniques. Then, we argue that, instead of searching for variational principles for dissipative systems, there is another viable programme: the second law alone can be an effective tool to construct evolution equations for both dissipative and non-dissipative processes. This article is part of the theme issue ‘Fundamental aspects of nonequilibrium thermodynamics’.
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23

Junker, Philipp, and Daniel Balzani. "An extended Hamilton principle as unifying theory for coupled problems and dissipative microstructure evolution." Continuum Mechanics and Thermodynamics 33, no. 4 (June 7, 2021): 1931–56. http://dx.doi.org/10.1007/s00161-021-01017-z.

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AbstractAn established strategy for material modeling is provided by energy-based principles such that evolution equations in terms of ordinary differential equations can be derived. However, there exist a variety of material models that also need to take into account non-local effects to capture microstructure evolution. In this case, the evolution of microstructure is described by a partial differential equation. In this contribution, we present how Hamilton’s principle provides a physically sound strategy for the derivation of transient field equations for all state variables. Therefore, we begin with a demonstration how Hamilton’s principle generalizes the principle of stationary action for rigid bodies. Furthermore, we show that the basic idea behind Hamilton’s principle is not restricted to isothermal mechanical processes. In contrast, we propose an extended Hamilton principle which is applicable to coupled problems and dissipative microstructure evolution. As example, we demonstrate how the field equations for all state variables for thermo-mechanically coupled problems, i.e., displacements, temperature, and internal variables, result from the stationarity of the extended Hamilton functional. The relation to other principles, as the principle of virtual work and Onsager’s principle, is given. Finally, exemplary material models demonstrate how to use the extended Hamilton principle for thermo-mechanically coupled elastic, gradient-enhanced, rate-dependent, and rate-independent materials.
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24

Rozov, Nikolay S. "The Principles of Biosocial Evolution and the Main Morphological Innovations in Anthropogenesis." Vestnik Tomskogo gosudarstvennogo universiteta, no. 470 (2021): 180–88. http://dx.doi.org/10.17223/15617793/470/21.

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The theoretical reconstruction of the mechanisms of the main morphological changes in anthropogenesis is carried out on the basis of combining the principles of biological and social evolution. A. Toynbee's “challenge-response” scheme and A. Stinchcombe's “homeostatic variable - providing structure - costs and tensions that generate new needs and concerns” construction provide a “common denominator” for the integration of these principles. Organic structures and instincts are formed through mutations, sexual and group selection (Darwinian evolution), while structures of behavior including the psyche are formed much faster, they can be flexibly changed or even purposefully constructed on the basis of patterns transmitted through cultural channels (Lamarckian evolution). The principles of biosocial evolution formulated on this basis include the following ideas and provisions: the occurence of radical transformations through responses to challenges with rigid group and sexual selection; the absence of complete gaps between the starting and ending points of an evolutionary period; the advantage of clashing varieties; the advantage of a variety of available structures in the body and behavior; the spiral of selection i.e. the generation of new concerns and challenges due to the costs of operating structures; the predominant use of “magic wands” as potentially multifunctional structures; the principle of genetic-cultural co-evolution; the principle of multilevel selection; the principle of canalized evolution; the termination of search for new structures due to the success of the previous ones. The initial long-term driver of radical changes was the stress of the transition of ancient hominids to terrestrial life and upright walking, when they became vulnerable to large terrestrial predators and had to find food in some new ways. Intra-group solidarity and coordination of behavior, special ingenuity and learning ability became the main supporting structures of the corresponding concerns. New concerns and practices coupled with changing environmental conditions have led to selection pressures and radical morphological innovations. On the basis of the formulated principles of evolution, the mechanisms of such changes as the loss of powerful jaws with large canines, brain development, anatomical changes in the skull and hands, deprivation of hair on the body were reconstructed.
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25

Mojak, Jan. "Evolution of Principles in the Polish Civil Law – the Principle of Transaction Security." Studia Iuridica Lublinensia 25, no. 1 (April 20, 2016): 147. http://dx.doi.org/10.17951/sil.2016.25.1.147.

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26

ZHANG, Liping. "Genetic Evolution Principles for Metamorphic Mechanism Design." Chinese Journal of Mechanical Engineering 45, no. 02 (2009): 106. http://dx.doi.org/10.3901/jme.2009.02.106.

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27

de Atauri, P., H. Bolouri, S. Ramsey, and D. Orrell. "Evolution of design principles in biochemical networks." Systems Biology 1, no. 1 (June 1, 2004): 28–40. http://dx.doi.org/10.1049/sb:20045013.

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28

Hansen, Carl J., Steven D. Kawaler, and David Arnett. "Stellar Interiors: Physical Principles, Structure and Evolution." Physics Today 48, no. 9 (September 1995): 94–96. http://dx.doi.org/10.1063/1.2808173.

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29

Krivenko, Maxim, Yulia Butyrina, and Vasilij Butyrin. "Principles of the evolution of marketing tools." Theoretical and practical aspects of Management, no. 1 (January 2021): 220–31. http://dx.doi.org/10.46486/0234-4505-2021-1-220-231.

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30

Burtsev, Mikhail, and Peter Turchin. "Evolution of cooperative strategies from first principles." Nature 440, no. 7087 (April 1, 2006): 1041–44. http://dx.doi.org/10.1038/nature04470.

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31

Van Rooy, Robert. "Evolution of Conventional Meaning and Conversational Principles." Synthese 139, no. 2 (March 2004): 331–66. http://dx.doi.org/10.1023/b:synt.0000024904.37199.6c.

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32

Sundaralingam, M. "Evolution of conformational principles in nucleic acids." International Journal of Quantum Chemistry 8, S1 (June 18, 2009): 81–91. http://dx.doi.org/10.1002/qua.560080713.

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33

Vorobyeva, E. I. "Morphological evolution: Estimation principles, patterns, and mechanisms." Paleontological Journal 40, no. 6 (December 2006): 601–16. http://dx.doi.org/10.1134/s0031030106060037.

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34

Güémez, J., and M. Fiolhais. "Principles of time evolution in classical physics." European Journal of Physics 39, no. 4 (May 16, 2018): 045010. http://dx.doi.org/10.1088/1361-6404/aabbfb.

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35

Sohn, Ho-min. "Evolution of Korean honorifics." Korean Linguistics 17, no. 2 (December 31, 2015): 167–206. http://dx.doi.org/10.1075/kl.17.2.02soh.

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The aim of the present paper is to revisit earlier studies on the evolution of Korean honorifics and, following a brief survey of the contemporary system, (a) overview the historical development of Korean honorific patterns from Old Korean to Contemporary Korean and (b) propose to account, on a principled basis, for the evolutional processes in the framework of grammaticalization. I assume that Korean honorifics have evolved due essentially to the three interdependent language/culture-specific forces: structural, socio-cultural, and interactional, as directed by the language-universal principles and processes of grammaticalization. The essence of the structural forces is the agglutinative, predicate-final, and head-final morpho-syntactic nature of Korean. This typological salience is a crucial condition under which honorific affixes and particles may be germinated. Socio-cultural forces include the Korean people’s traditional and contemporary socio-cultural systems, values, and norms of hierarchism and collectivism, as language is regarded as reflecting culture and society. Koreans’ hierarchism and collectivism are sufficiently manifested in the structure and use of the language (e.g. H. Sohn 1986). The interactional forces are Koreans’ society/culture/context-bound interpersonal language use for communicative purposes. These three interlocking forces are assumed to have motivated and sustained a dynamic set of addressee and referent honorific contrasts in Korean, which have evolved as driven by the universal principles and processes of grammaticalization.
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36

HALLPIKE, C. "Social and biological evolution II. Some basic principles of social evolution." Journal of Social and Biological Systems 9, no. 1 (January 1986): 5–31. http://dx.doi.org/10.1016/0140-1750(86)90015-1.

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37

Voloshin, A. V., and Yu Yu Suslova. "METHODOLOGY, PRINCIPLES AND APPROACHES TO STUDYING THE EVOLUTION OF DEVELOPMENT OF SOCIO-ECONOMIC SYSTEMS." Scientific Review Theory and Practice 10, no. 12 (2020): 3225–38. http://dx.doi.org/10.35679/2226-0226-2020-10-12-3225-3238.

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The article presents the author's approach to the formation of the methodological foundations of the study of the evolution of development of socio-economic systems. The authors note the diversity of existing points of view and, at the same time, the lack of unambiguous methodological approaches to the study of the evolutionary aspects of the development of socio-economic systems. The paper offers an overview of various studies devoted to the problems of the methodology of the development of socio-economic systems, the author's position in relation to the points of view presented in them is determined. In the context of the presented study, the authors propose to consider the methodology as a system of principles, approaches and methods used to study the evolution and development of socio-economic systems in the context of globalization. The authors adhere to the position that the study of the evolution and development of socio-economic systems presupposes both a description of the specifics of the application of the principles of general methodology in relation to the subject of research, and the allocation of specific principles of methodology, the use of which is characteristic only for the proposed study. In the framework of the study of the evolutionary aspects of the development of socio-economic systems, it is proposed to highlight such general scientific methodological principles as: the principle of consistency, the principle of determinism, the principle of development, the principle of evolutionary development, the principle of objectivity, the principle of interaction and a single direction of the theory and practice of research, the principle of correctness, the principle of unity historical and logical development of socio-economic systems. Summarizing the vast theoretical heritage in the field of economic methodology, the authors of the study compare the casual and functional approaches to the study of socio-economic systems. At the same time, the functional approach is considered as functional and descriptive, and the casual approach as systemic and reproductive. At the same time, the use of the system-reproduction approach involves the consideration of the socio-economic system as a complex multi-level system of socio-economic relations. The study of the reasons for the current state of the system, cause-and-effect relationships that determined the dynamics of its development, allow us to consider socio-economic relations in all their multidimensionality. The systemic reproductive approach, defined by the authors as the methodological basis of the study, provides a dialectical representation of the socio-economic system, its elements and their interconnections in the unity of logical and historical development.
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38

Walton, Paul. "Information Evolution and Organisations." Information 10, no. 12 (December 12, 2019): 393. http://dx.doi.org/10.3390/info10120393.

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In a changing digital world, organisations need to be effective information processing entities, in which people, processes, and technology together gather, process, and deliver the information that the organisation needs. However, like other information processing entities, organisations are subject to the limitations of information evolution. These limitations are caused by the combinatorial challenges associated with information processing, and by the trade-offs and shortcuts driven by selection pressures. This paper applies the principles of information evolution to organisations and uses them to derive principles about organisation design and organisation change. This analysis shows that information evolution can illuminate some of the seemingly intractable difficulties of organisations, including the effects of organisational silos and the difficulty of organisational change. The derived principles align with and connect different strands of current organisational thinking. In addition, they provide a framework for creating analytical tools to create more detailed organisational insights.
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39

Fisher, Steven A. "Measuring The Evolution Of Generally Accepted Accounting Principles." Journal of Applied Business Research (JABR) 14, no. 3 (August 31, 2011): 105. http://dx.doi.org/10.19030/jabr.v14i3.5708.

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<span>Generally Accepted Accounting Principles (GAAP) guide financial reporting. Although numerous opinions and standards have been issued over the past 45 years, there is little quantitative evidence concerning the degree of change in GAAP. The purpose of this study is to generate a quantitative understanding of the degree of evolution in GAAP since Accounting Research Bulletin (ARB) 43. The results indicate that significant changes are occurring in GAAP. Less than 50% of the GAPP issued in the 1950s and in the 1960s remains in effect today. Furthermore, significant changes have occurred in GAAP issued within just the past 20 years. The primary implication is that GAPP is continually being reviewed and revised in response to investors and creditors changing information needs.</span>
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40

Lindholm, A. K., D. H. Clayton, and J. Moore. "Host-Parasite Evolution: General Principles and Avian Models." Journal of Animal Ecology 66, no. 6 (November 1997): 913. http://dx.doi.org/10.2307/6007.

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41

Vanclay, Frank. "International Principles for Social Impact Assessment: their evolution." Impact Assessment and Project Appraisal 21, no. 1 (March 2003): 3–4. http://dx.doi.org/10.3152/147154603781766464.

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42

Adamenko, Victor G. "The evolution of science and “principles of impossibility”." Behavioral and Brain Sciences 10, no. 04 (December 1987): 566. http://dx.doi.org/10.1017/s0140525x00054479.

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43

Sheldon, Ben. "Host–Parasite Evolution: General Principles and Avian Models." Parasitology Today 14, no. 2 (February 1998): 84. http://dx.doi.org/10.1016/s0169-4758(97)01174-5.

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44

Strmcnik, Dusan, Pietro Papa Lopes, Bostjan Genorio, Vojislav R. Stamenkovic, and Nenad M. Markovic. "Design principles for hydrogen evolution reaction catalyst materials." Nano Energy 29 (November 2016): 29–36. http://dx.doi.org/10.1016/j.nanoen.2016.04.017.

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45

Lakrimi, M., A. M. Thomas, G. Hutton, M. Kruip, R. Slade, P. Davis, A. J. Johnstone, et al. "The principles and evolution of magnetic resonance imaging." Journal of Physics: Conference Series 286 (March 1, 2011): 012016. http://dx.doi.org/10.1088/1742-6596/286/1/012016.

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46

Dragosits, Martin, and Diethard Mattanovich. "Adaptive laboratory evolution – principles and applications for biotechnology." Microbial Cell Factories 12, no. 1 (2013): 64. http://dx.doi.org/10.1186/1475-2859-12-64.

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47

Otterbein, Keith F. ": The Principles of Social Evolution . C. R. Hallpike." American Anthropologist 90, no. 2 (June 1988): 444–45. http://dx.doi.org/10.1525/aa.1988.90.2.02a00420.

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48

Misra, Subhas, Vinod Kumar, Uma Kumar, Kamel Fantazy, and Mahmud Akhter. "Agile software development practices: evolution, principles, and criticisms." International Journal of Quality & Reliability Management 29, no. 9 (October 5, 2012): 972–80. http://dx.doi.org/10.1108/02656711211272863.

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49

Redmond, William. "Evolution of Corporate Governance Principles among U.S. Firms." Journal of Economic Issues 44, no. 3 (September 2010): 615–27. http://dx.doi.org/10.2753/jei0021-3624440303.

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50

Freeman, Harold P. "The Origin, Evolution, and Principles of Patient Navigation." Cancer Epidemiology Biomarkers & Prevention 21, no. 10 (October 2012): 1614–17. http://dx.doi.org/10.1158/1055-9965.epi-12-0982.

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