Results for 'Scientific Visualization'

996 found
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  1.  61
    Reassessing Discovery: Rosalind Franklin, Scientific Visualization, and the Structure of DNA.Michelle G. Gibbons - 2012 - Philosophy of Science 79 (1):63-80.
    Philosophers have traditionally conceived of discovery in terms of internal cognitive acts. Close consideration of Rosalind Franklin's role in the discovery of the DNA double helix, however, reveals some problems with this traditional conception. This article argues that defining discovery in terms of mental operations entails problematic conclusions and excludes acts that should fall within the domain of discovery. It proposes that discovery be expanded to include external acts of making visible. Doing so allows for a reevaluation of Franklin's role (...)
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  2. Peeking Inside the Black Box: A New Kind of Scientific Visualization.Michael T. Stuart & Nancy J. Nersessian - 2018 - Minds and Machines 29 (1):87-107.
    Computational systems biologists create and manipulate computational models of biological systems, but they do not always have straightforward epistemic access to the content and behavioural profile of such models because of their length, coding idiosyncrasies, and formal complexity. This creates difficulties both for modellers in their research groups and for their bioscience collaborators who rely on these models. In this paper we introduce a new kind of visualization that was developed to address just this sort of epistemic opacity. The (...)
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  3.  22
    Target detection in scientific visualization.Ian Spence & Adele Efendov - 2001 - Journal of Experimental Psychology: Applied 7 (1):13.
  4. Introduction: Simulation, Visualization, and Scientific Understanding.Henk W. de Regt & Wendy S. Parker - 2014 - Perspectives on Science 22 (3):311-317.
    Only a decade ago, the topic of scientific understanding remained one that philosophers of science largely avoided. Earlier discussions by Hempel and others had branded scientific understanding a mere subjective state or feeling, one to be studied by psychologists perhaps, but not an important or fruitful focus for philosophers of science. Even as scientific explanation became a central topic in philosophy of science, little attention was given to understanding. Over the last decade, however, this situation has changed. (...)
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  5.  28
    Ahmed H. Zewail: 4D visualization of matter: recent collected works: Imperial College Press, London, England, 2014; distributed by World Scientific Publishing Co., Singapore, xvi + 409 pp, ISBN: 978-1-78326-505-3 , $48.00; £31.59.George B. Kauffman & Laurie M. Kauffman - 2015 - Foundations of Chemistry 18 (2):175-176.
  6. Visualization as a Tool for Understanding.Henk W. de Regt - 2014 - Perspectives on Science 22 (3):377-396.
    The act of understanding is at the heart of all scientific activity; without it any ostensibly scientific activity is as sterile as that of a high school student substituting numbers into a formula. Ordinary language often uses visual metaphors in connection with understanding. When we finally understand what someone is trying to point out to us, we exclaim: “I see!” When someone really understands a subject matter, we say that she has “insight”. There appears to be a link (...)
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  7.  4
    Chaomei Chen. Mapping Scientific Frontiers: The Quest for Knowledge Visualization. xii + 240 pp., illus., tables, app., index. London/Berlin: Springer, 2003. $79.95. [REVIEW]Kathryn James - 2004 - Isis 95 (2):325-325.
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  8. Seeing the forest for the trees: Visualization, cognition, and scientific inference.David C. Gooding - 2005 - In M. Gorman, R. Tweney, D. Gooding & A. Kincannon (eds.), Scientific and Technological Thinking. Erlbaum. pp. 2005--173.
  9. Diagrammatic Reasoning and Modelling in the Imagination: The Secret Weapons of the Scientific Revolution.James Franklin - 2000 - In Guy Freeland & Anthony Corones (eds.), 1543 and All That: Image and Word, Change and Continuity in the Proto-Scientific Revolution. Kluwer Academic Publishers.
    Just before the Scientific Revolution, there was a "Mathematical Revolution", heavily based on geometrical and machine diagrams. The "faculty of imagination" (now called scientific visualization) was developed to allow 3D understanding of planetary motion, human anatomy and the workings of machines. 1543 saw the publication of the heavily geometrical work of Copernicus and Vesalius, as well as the first Italian translation of Euclid.
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  10. Conditionals, visualization, and virtual worlds.Jerrold L. Aronson - 1994 - In A. A. Derksen (ed.), The Scientific Realism of Rom Harré. Tilburg University Press.
     
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  11.  3
    Raw Data Visualization for Common Factorial Designs Using SPSS: A Syntax Collection and Tutorial.Florian Loffing - 2022 - Frontiers in Psychology 13.
    Transparency in data visualization is an essential ingredient for scientific communication. The traditional approach of visualizing continuous quantitative data solely in the form of summary statistics has repeatedly been criticized for not revealing the underlying raw data distribution. Remarkably, however, systematic and easy-to-use solutions for raw data visualization using the most commonly reported statistical software package for data analysis, IBM SPSS Statistics, are missing. Here, a comprehensive collection of more than 100 SPSS syntax files and an SPSS (...)
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  12.  21
    Mapping and visualization: selected examples of international research networks.Eugenia Smyrnova-Trybulska, Nataliia Morze, Olena Kuzminska & Piet Kommers - 2018 - Journal of Information, Communication and Ethics in Society 16 (4):381-400.
    Purpose This paper aims to describe the popular trends and methods and ICT tools used for mapping and visualization of scientific domains as a research methodology which is attracting more and more interest from scientific information and science studies professionals. Science mapping or bibliometric mapping is a spatial representation of how disciplines, fields, specialties and individual documents or authors. The researchers analysed Bibexel, Pajek, VOSViewer, programmes used for processing and visualization of bibliographic and bibliometric data, within (...)
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  13.  80
    Visualizing Scientific Inference.David C. Gooding - 2010 - Topics in Cognitive Science 2 (1):15-35.
    The sciences use a wide range of visual devices, practices, and imaging technologies. This diversity points to an important repertoire of visual methods that scientists use to adapt representations to meet the varied demands that their work places on cognitive processes. This paper identifies key features of the use of visualization in a range of scientific domains and considers the implications of this repertoire for understanding scientists as cognitive agents.
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  14. On the Prospects for a Science of Visualization.Ronald A. Rensink - 2014 - In Handbook of Human-Centric Visualization. Springer. pp. 147-175.
    This paper explores the extent to which a scientific framework for visualization might be possible. It presents several potential parts of a framework, illustrated by application to the visualization of correlation in scatterplots. The first is an extended-vision thesis, which posits that a viewer and visualization system can be usefully considered as a single system that perceives structure in a dataset, much like "basic" vision perceives structure in the world. This characterization is then used to suggest (...)
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  15.  16
    Erratum to: Scientific revolutions, specialization and the discovery of the structure of DNA: toward a new picture of the development of the sciences.Vincenzo Politi - 2018 - Synthese 195 (11):5113-5113.
    Both in the bibliography and in the citation in the text, Michelle Gibbons’ article below has been mistakenly attributed to “Gibson.” The proper reference to the article should be: Gibbons, M.. Reassessing discovery: Rosalind Franklin, scientific visualization, and the structure of DNA. _Philosophy of Science, 79_, 63–80.
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  16.  30
    The Art and Science of Visualization: Metaphorical Maps and Cultural Models.Donna J. Cox - 2004 - Technoetic Arts 2 (2):71-80.
    The author has collaborated in research teams to visualize supercomputer simulations and real-time data. She describes these collaborative projects that employ advanced-technology graphics and novel digital displays that include large-format IMAX film, high-definition television productions, and a museum digital dome at the American Museum of Natural History. The popularity of these images and the function that they provide in popular culture are discussed. She also describes two key technologies that she was part of designing: IntelliBadge(tm), a real-time visualization and (...)
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  17. Testing Scientific Theories Through Validating Computer Models.Michael L. Cohen - 2000 - Dissertation, University of Maryland, College Park
    Attempts by 20th century philosophers of science to define inductive concepts and methods concerning the support provided to scientific theories by empirical data have been unsuccessful. Although 20th century philosophers of science largely ignored statistical methods for testing theories, when they did address them they argued against rather than for their use. In contrast, this study demonstrates that traditional statistical methods used for validating computer simulation models provide tests of the scientific theories that those models may embody. This (...)
     
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  18.  85
    Connecting internal and external representations: Spatial transformations of scientific visualizations. [REVIEW]J. Gregory Trafton, Susan B. Trickett & Farilee E. Mintz - 2005 - Foundations of Science 10 (1):89-106.
    Many scientific discoveries have depended on external diagrams or visualizations. Many scientists also report to use an internal mental representation or mental imagery to help them solve problems and reason. How do scientists connect these internal and external representations? We examined working scientists as they worked on external scientific visualizations. We coded the number and type of spatial transformations (mental operations that scientists used on internal or external representations or images) and found that there were a very large (...)
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  19.  6
    Critical Nodes Identification of Scientific Achievement Commercialization Network under k-Core.Wuyan Weng, Zi Li, Qirong Qiu & Junheng Cheng - 2022 - Complexity 2022:1-8.
    Aiming to improve the commercialization efficiency of scientific innovative achievements, this paper utilizes the time series visualization method to construct the time series network of each subsystem. After that, the network similarity is calculated by the cosine similarity theorem. On this basis, a new multilayer network adjacency matrix is obtained. With the adoption of k-core technology, the critical nodes can be identified to study the transformation efficiency of the innovation value in the network. Finally, according to the provincial (...)
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  20.  17
    “What if…”: The Use of Conceptual Simulations in Scientific Reasoning.Susan Bell Trickett & J. Gregory Trafton - 2007 - Cognitive Science 31 (5):843-875.
    The term conceptual simulation refers to a type of everyday reasoning strategy commonly called “what if” reasoning. It has been suggested in a number of contexts that this type of reasoning plays an important role in scientific discovery; however, little direct evidence exists to support this claim. This article proposes that conceptual simulation is likely to be used in situations of informational uncertainty, and may be used to help scientists resolve that uncertainty. We conducted two studies to investigate the (...)
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  21.  47
    A precipice below which lies absurdity? Theories without a spacetime and scientific understanding.Sebastian De Haro & Henk W. de Regt - 2018 - Synthese:1-29.
    While the relation between visualization and scientific understanding has been a topic of long-standing discussion, recent developments in physics have pushed the boundaries of this debate to new and still unexplored realms. For it is claimed that, in certain theories of quantum gravity, spacetime ‘disappears’: and this suggests that one may have sensible physical theories in which spacetime is completely absent. This makes the philosophical question whether such theories are intelligible, even more pressing. And if such theories are (...)
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  22.  33
    A precipice below which lies absurdity? Theories without a spacetime and scientific understanding.Henk W. de Regt & Sebastian De Haro - 2020 - Synthese 197 (7):3121-3149.
    While the relation between visualization and scientific understanding has been a topic of long-standing discussion, recent developments in physics have pushed the boundaries of this debate to new and still unexplored realms. For it is claimed that, in certain theories of quantum gravity, spacetime ‘disappears’: and this suggests that one may have sensible physical theories in which spacetime is completely absent. This makes the philosophical question whether such theories are intelligible, even more pressing. And if such theories are (...)
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  23.  27
    Representation of the Microcosm: The Claim for Objectivity in 19th Century Scientific Microphotography.Olaf Breidbach - 2002 - Journal of the History of Biology 35 (2):221 - 250.
    Microphotography was one of the earliest applications of photography in science: The first monograph on tissue organization illustrated with microphotographs was published in 1845. In the 1860s, a large number of introductions to scientific microphotography were published by anatomists. They argued that microphotography was a means of documenting the results of microscopic analysis, uncontaminated by the subjectivity of the observer. In the early decades of the 19th century, before the general acceptance of cell theory, such a technique was of (...)
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  24.  43
    Similaridades, isomorfismos Y homeomorfismos entre representaciones científicas (similitudes, isomorfisms and homeomorfisms among scientific representations).Javier Echeverría - 1998 - Theoria 13 (1):89-112.
    La concepción semántica en filosofía de la ciencia propuso las relaciones de isomorfismo (van Fraassen) y semejanza (Giere) para analizar las representaciones científicas. Recientemente, Ibarra y Mormann han sugerido una geometrización de la concepción representacional en filosofía de la ciencia. Este artículo afirma que es precisa una relación mas general (la de homeomorfismo) para reconstruir las representaciones científicas externas que son utilizadas en la practica científica contemporánea, y especialmente en la visualización científica digitalizada.The semantical view on philosophy of science has (...)
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  25.  13
    Scientific Attitude and Picture Language. Otto Neurath on Visualisation in Social Sciences.Elisabeth Nemeth - 2011 - In David Wagner, Wolfram Pichler, Elisabeth Nemeth & Richard Heinrich (eds.), Publications of the Austrian Ludwig Wittgenstein Society - N.S. 17. De Gruyter. pp. 59-84.
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  26.  34
    Neosentience a new branch of scientific and poetic inquiry related to artificial intelligence.Bill Seaman & Otto Rossler - 2008 - Technoetic Arts 6 (1):31-40.
    Neosentience, a potentially new branch of scientific inquiry related to artificial intelligence, was first suggested in a paper by Bill Seaman as part of a new embodied robotic paradigm, arising out of ongoing theoretical research with Otto E. Rossler. Seaman, artist-researcher, and Rossler, theoretical biologist and physicist, have been examining the potential of generating an intelligent, embodied, multimodal sensing and computational robotic system. Although related to artificial intelligence the goal of this system is the creation of an entity exhibiting (...)
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  27. Visions visualised? On the evidential status of scientific visualisations.Nicola Mößner - forthcoming - In Erna Fiorentini (ed.), On Visualization. A Multicentric Critique beyond Infographics. Berlin et al.: LIT Verlag.
    ‘Visualisations play an important role in science’, this seems to be an uncontroversial statement today. Scientists not only use visual representations as means to communicate their research results in publications or talks, but also often as surrogates for their objects of interest during the process of research. Thus, we can make a distinction between two contexts of usage here, namely the explanatory and the exploratory context. The focus of this paper is on the latter one. Obviously, using visualisations as surrogates (...)
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  28. Essay Review Thinking Scientifically.Thinking Scientifically - 1995 - Annals of Science 52:615-618.
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  29. Randomness and Mathematical Proof.Scientific American - unknown
    Almost everyone has an intuitive notion of what a random number is. For example, consider these two series of binary digits: 01010101010101010101 01101100110111100010 The first is obviously constructed according to a simple rule; it consists of the number 01 repeated ten times. If one were asked to speculate on how the series might continue, one could predict with considerable confidence that the next two digits would be 0 and 1. Inspection of the second series of digits yields no such comprehensive (...)
     
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  30. Randomness in Arithmetic.Scientific American - unknown
    What could be more certain than the fact that 2 plus 2 equals 4? Since the time of the ancient Greeks mathematicians have believed there is little---if anything---as unequivocal as a proved theorem. In fact, mathematical statements that can be proved true have often been regarded as a more solid foundation for a system of thought than any maxim about morals or even physical objects. The 17th-century German mathematician and philosopher Gottfried Wilhelm Leibniz even envisioned a ``calculus'' of reasoning such (...)
     
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  31. A new edition! Kinesiology and applied anatomy: The science of human movement, 6th.Scientific Basis Of Athletic - 1977 - In Vincent Stuart (ed.), Order. [New York]: Random House. pp. 245-26076.
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  32.  14
    Beyond,”.Scientific Revolution - forthcoming - Perspectives on Science.
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  33. Epistemonike Skepse, 1900-1960.Thought Scientific & Rom Harré - 1982 - Morphotiko Hidryma Ethnikes Trapezes.
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  34.  3
    Scientific transcendentalism, by D.M.M. D. & Scientific Transcendentalism - 1880
  35. Annual Reference Catalog for Optics.Edmund Scientific - forthcoming - Science & Education.
  36. Universal Declaration on Bioethics and Human Rights.United Nations Educational, Scientific & Cultural Organization - 2006 - Jahrbuch für Wissenschaft Und Ethik 11 (1).
     
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  37. The Power of Memes.Susan Blackmore & Scientific American - unknown
    Human beings are strange animals. Although evolutionary theory has brilliantly accounted for the features we share with other creatures—from the genetic code that directs the construction of our bodies to the details of how our muscles and neurons work—we still stand out in countless ways. Our brains are exceptionally large, we alone have truly grammatical language, and we alone compose symphonies, drive cars, eat spaghetti with a fork and wonder about the origins of the universe.
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  38.  24
    Universal Declaration on Bioethics and Human Rights.Scientific And Cultural Organization United Nations Educational - 2006 - Jahrbuch für Wissenschaft Und Ethik 11 (1):377-385.
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  39. Spacetime visualisation and the intelligibility of physical theories.W. H. - 2001 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 32 (2):243-265.
    This paper argues that spacetime visualisability is not a necessary condition for the intelligibility of theories in physics. Visualisation can be an important tool for rendering a theory intelligible, but it is by no means a sine qua non. The paper examines the historical transition from classical to quantum physics, and analyses the role of visualisability and its relation to intelligibility. On the basis of this historical analysis, an alternative conception of the intelligibility of scientific theories is proposed, based (...)
     
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  40. Preliminary Draft Declaration on Universal Norms on Bioethics.United Nations Educational, Scientific & Cultural Organization - 2005 - Jahrbuch für Wissenschaft Und Ethik 10 (1).
     
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  41. the Essential Incompleteness of All Science,".Kari R. Popper & Scientific Reduction - 1974 - In Francisco José Ayala & Theodosius Dobzhansky (eds.), Studies in the Philosophy of Biology: Reduction and Related Problems : [papers Presented at a Conference on Problems of Reduction in Biology Held in Villa Serbe, Bellagio, Italy 9-16 September 1972. Berkeley: University of California Press.
  42. Empiricism: A Dialogue.Gary Gutting & Scientific Realism Versus Constructive - 2002 - In Yuri Balashov & Alexander Rosenberg (eds.), Philosophy of Science: Contemporary Readings. Routledge. pp. 234.
     
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  43. Mother-infant bonding.A. Scientific Fiction - 1994 - Human Nature 5 (1):69.
     
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  44. Intervalový prístup: Prírodovedné a gnozeologic-ké aspekty.Fv Lazarev & Natural Scientific - 1989 - Filozofia 44 (1):55.
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  45.  17
    Preliminary Draft Declaration on Universal Norms on Bioethics.Scientific And Cultural Organization United Nations Educational - 2005 - Jahrbuch für Wissenschaft Und Ethik 10 (1):381-390.
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  46.  14
    Kurt Bayertz and Kurt W. Schmidt.Reluctance Toward Scientific Rationalism - 2002 - In Kazumasa Hoshino, H. Tristram Engelhardt & Lisa M. Rasmussen (eds.), Bioethics and Moral Content: National Traditions of Health Care Morality: Papers Dedicated in Tribute to Kazumasa Hoshino. Kluwer Academic Publishers. pp. 77.
  47. Ibn Rushd: faylasūf al-sharq wa-al-gharb: fī al-dhikrá al-miʼawīyah al-thāminah li-wafātih.Miqdad Arafah Mansiyah & Cultural Scientific Organization Arab League Educational (eds.) - 1999 - Tūnis: Jāmiʻat al-Duwal al-ʻArabīyah, al-Munaẓẓamah al-ʻArabīyah lil-Tarbiyah wa-al-Thaqāfah wa-al-ʻUlūm.
     
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  48.  10
    Lester Embree.Human Scientific Propositions - 1992 - In D. P. Chattopadhyaya, Lester Embree & Jitendranath Mohanty (eds.), Phenomenology and Indian philosophy. New Delhi: Indian Council of Philosophical Research in association with Motilal Banarsidass Publishers.
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  49. Helmut Steiner.Scientific Schools In Socialism - 1979 - In János Farkas (ed.), Sociology of Science and Research. Akadémiai Kiadó.
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  50. van Brakel: Philosophy of Chemistry. Between the Manifest and the Scientific Image (Louvain Philosophical Studies 15), Leuven 2000 (Leuven University Press), XXII+ 246 Index (Bfr. 700,–). Cao, Tian Yu (ed.): Conceptual Foundation of Quantum Field Theory. Cambridge (Univer-sity Press) 1999, XIX+ 399 Index (£ 60.–). [REVIEW]Ilkka Niiniluoto & Critical Scientific Realism - 2001 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 32:199-200.
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