Search results for 'IN-VIVO' (try it on Scholar)

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  1. Joel Chan & Christian Schunn (2014). The Impact of Analogies on Creative Concept Generation: Lessons From an In Vivo Study in Engineering Design. Cognitive Science 38 (5).score: 78.0
    Research on innovation often highlights analogies from sources outside the current problem domain as a major source of novel concepts; however, the mechanisms underlying this relationship are not well understood. We analyzed the temporal interplay between far analogy use and creative concept generation in a professional design team's brainstorming conversations, investigating the hypothesis that far analogies lead directly to very novel concepts via large steps in conceptual spaces (jumps). Surprisingly, we found that concepts were more similar to their preceding concepts (...)
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  2. Stefan Geyer, Marcel Weiss, Katja Reimann, Gabriele Lohmann & Robert Turner (2011). Microstructural Parcellation of the Human Cerebral Cortex – From Brodmann's Post-Mortem Map to in Vivo Mapping with High-Field Magnetic Resonance Imaging. Frontiers in Human Neuroscience 5.score: 63.0
    The year 2009 marked the 100th anniversary of the publication of the famous brain map of Korbinian Brodmann. Although a "classic" guide to microanatomical parcellation of the cerebral cortex, it is – from today's state-of-the-art neuroimaging perspective – problematic to use Brodmann's map as a structural guide to functional units in the cortex. In this article we discuss some of the reasons, especially the problematic compatibility of the "post-mortem world" of microstructural brain maps with the "in vivo world" of neuroimaging. (...)
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  3. Can Ceritoglu, Lei Wang, Lynn D. Selemon, John G. Csernansky, Michael I. Miller & J. Tilak Ratnanather (2010). Large Deformation Diffeomorphic Metric Mapping Registration of Reconstructed 3D Histological Section Images and in Vivo MR Images. Frontiers in Human Neuroscience 4:43-43.score: 63.0
    Our current understanding of neuroanatomical abnormalities in neuropsychiatric diseases is based largely on magnetic resonance imaging (MRI) and post mortem histological analyses of the brain. Further advances in elucidating altered brain structure in these human conditions might emerge from combining MRI and histological methods. We propose a multistage method for registering 3D volumes reconstructed from histological sections to corresponding in vivo MRI volumes from the same subjects: (1) manual segmentation of white matter (WM), gray matter (GM) and cerebrospinal fluid (CSF) (...)
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  4. Andreas Deistung, Andreas Schäfer, Ferdinand Schweser, Uta Biedermann, Daniel Güllmar, Robert Trampel, Robert Turner & Jürgen R. Reichenbach (2013). High-Resolution MR Imaging of the Human Brainstem In Vivo at 7 Tesla. Frontiers in Human Neuroscience 7.score: 63.0
    The human brainstem, which comprises a multitude of axonal nerve fibers and nuclei, plays an important functional role in the human brain. Depicting its anatomy non-invasively with high spatial resolution may thus in turn help to better relate normal and pathological anatomical variations to medical conditions as well as neurological and peripheral functions. We explored the potential of high-resolution magnetic resonance imaging (MRI) at 7T for depicting the intricate anatomy of the human brainstem in vivo by acquiring and generating images (...)
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  5. Marcel Weber (forthcoming). Experimental Modeling in Biology: In Vivo Representation and Stand-Ins As Modeling Strategies. Philosophy of Science.score: 60.0
    Experimental modeling in biology involves the use of living organisms (not necessarily so-called "model organisms") in order to model or simulate biological processes. I argue here that experimental modeling is a bona fide form of scientific modeling that plays an epistemic role that is distinct from that of ordinary biological experiments. What distinguishes them from ordinary experiments is that they use what I call "in vivo representations" where one kind of causal process is used to stand in for a physically (...)
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  6. Nikos Logothetis, In Vivo Brain Connectivity: Optimization of Manganese Enhanced MRI for Neuronal Tract Tracing.score: 60.0
    manganese (Mn2+) enhanced MRI (MEMRI) to study neuronal connectivity in vivo opens the possibility to these studies. However, several drawbacks exist that challenge its applicability. High Mn2+ concentrations produce cytotoxic effects that can perturb the circuits under study. In the other hand, the MR signal is..
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  7. Roger Strand, Ragnar Fjelland & Torgeir Flatmark (1996). In Vivo Interpretation of in Vitro Effect Studies with a Detailed Analysis of the Method of in Vitro Transcription in Isolated Cell Nuclei. Acta Biotheoretica 44 (1).score: 60.0
    In vitro experimental approaches are of central importance to contemporary molecular and cellular biology and toxicology. However, the scientific value or impact of in vitro results depends on their relevance in vivo. In vitro effect studies address inobservable in vivo phenomena through experiments on analogous in vitro phenomena. We present a theoretical basis developed to evaluate the in vivo relevance of in vitro effect studies. As a case study, the procedure for measuring specific gene transcription in isolated cell nuclei (nuclear (...)
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  8. Melissa A. Maurer-Jones & Christy L. Haynes (2012). Toward Correlation in In Vivo and In Vitro Nanotoxicology Studies. Journal of Law, Medicine and Ethics 40 (4):795-801.score: 60.0
    Nanomaterials have the promise of revolutionizing current treatment and diagnosis of diseases, which has led to 33 nanotherapeutics drugs currently on the market and many more in various stages of clinical trials. With an increasing number of products available and in development, along with the unique, emergent properties of the nanoparticle therapeutics themselves, regulatory agencies are now faced with decisions regarding the regulation of such novel technologies. Regulatory guidance, particularly in pre-clinical stages, has the potential to facilitate quick and safe (...)
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  9. Ullica Segerstrale (1986). Colleagues in Conflict: An 'in Vivo' Analysis of the Sociobiology Controversy. [REVIEW] Biology and Philosophy 1 (1):53-87.score: 48.0
    Edward O. Wilson's forays into human sociobiology have been the target of persistent, vehement attack by his Harvard colleague in evolutionary biology, Richard C. Lewontin. Through examination of existing documents in the case, together with in-depth personal interviews of Wilson, Lewontin, and other biologists, the reasons for Wilson's stance and Lewontin's criticisms are uncovered. It is argued that the dispute is not primarily personally or politically motivated, but involves a conflict between long-term scientific-cum-moral agendas, with the reductionist program as a (...)
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  10. Kevin Dunbar & Isabelle Blanchette (2001). The in Vivo/in Vitro Approach to Cognition: The Case of Analogy. Trends in Cognitive Sciences 5 (8):334-339.score: 48.0
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  11. A. M. Perault-Staub, P. Tracqui & J. F. Staub (1992). Modelling of in Vivo Calcium Metabolism. I. Optimal Cooperation Between Constant and Rhythmic Behaviours. Acta Biotheoretica 40 (2-3).score: 48.0
    The relevance of nonlinear dynamics to calcium metabolism led us to reevaluate the role of Ca-regulating hormones in Ca homeostasis. We suggest that, firstly, the main Ca metabolic functions in rat-bone and gut - are organized as dynamic entities able to generate various temporal expressions, including self-oscillating patterns and, secondly, Ca homeostasis results from interaction between both metabolic and hormonal oscillators. Following this schema, a major role for the hormonal system, with its circadian pattern, could be to act directly on (...)
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  12. P. Tracqui, J. F. Staub & A. M. Perault-Staub (1992). Modelling of in Vivo Calcium Metabolism. II. Minimal Structure or Maximum Dynamic Diversity: The Interplay of Biological Constraints. Acta Biotheoretica 40 (2-3).score: 48.0
    The temporal behaviour of the nonlinear compartmental model we have developed for rat calcium metabolism is discussed with respect to the theoretical properties of the self-oscillating autocatalytic subunit around which the model is constructed. Depending on the approximations made, this subunit is described by a minimal two-variable model, SU2, or by a three-variable one, SU3. The diversity of the theoretical dynamic behaviours possible with SU2 is greatly increased with SU3. But the identification of SU3 parameter values in three different experimental (...)
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  13. Lucas C. Parra Davide Reato, Asif Rahman, Marom Bikson (2013). Effects of Weak Transcranial Alternating Current Stimulation on Brain Activity—a Review of Known Mechanisms From Animal Studies. Frontiers in Human Neuroscience 7.score: 48.0
    Rhythmic neuronal activity is ubiquitous in the human brain. These rhythms originate from a variety of different network mechanisms, which give rise to a wide-ranging spectrum of oscillation frequencies. In the last few years an increasing number of clinical research studies have explored transcranial alternating current stimulation (tACS) with weak current as a tool for affecting brain function. The premise of these interventions is that tACS will interact with ongoing brain oscillations. However, the exact mechanisms by which weak currents could (...)
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  14. Stephen F. Bush (2011). Toward in Vivo Nanoscale Communication Networks: Utilizing an Active Network Architecture. Frontiers of Computer Science in China 5 (1):1--9.score: 48.0
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  15. Kevin Dunbar (1999). The Scientist in Vivo: How Scientists Think and Reason in the Laboratory. In L. Magnani, N. J. Nersessian & P. Thagard (eds.), Model-Based Reasoning in Scientific Discovery. Kluwer/Plenum. 89--98.score: 48.0
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  16. Andoni Ibarra & Thomas Mormann (2006). Scientific Theories as Intervening Representations. Theoria 55 (1):21 - 38.score: 45.0
    In this paper some classical representational ideas of Hertz and Duhem are used to show how the dichotomy between representation and intervention can be overcome. More precisely, scientific theories are reconstruected as complex networks of intervening representations (or representational interventions). The formal apparatus developed is applied to elucidate various theoretical and prctical aspects of the in vivo/in vitro problem of biochemistry. Moreover, adjoint situations (Galois connections) are used to eplain the relation between empirical facts and theoretical laws in a new (...)
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  17. Karen Dawson (1988). Segmentation and a Oral Status in Vivo and in Vitro: A Scientific Perspective. Bioethics 2 (1):1–14.score: 45.0
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  18. H. J. J. Leenen (1986). The Legal Status of the Embryo in Vivo and in Vitro: Research on and the Medical Treatment of Embryos. Journal of Law, Medicine and Ethics 14 (3-4):129-132.score: 45.0
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  19. Søren S. L. Andersen & Torsten Wittmann (2002). Toward Reconstitution of in Vivo Microtubule Dynamics in Vitro. Bioessays 24 (4):305-307.score: 45.0
  20. Jeanette Kennett (2012). Living With One's Choices Moral Reasoning In Vitro and In Vivo. In Robyn Langdon & Catriona Mackenzie (eds.), Emotions, Imagination, and Moral Reasoning. Psychology Press. 257.score: 45.0
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  21. Yair Neuman (2012). Ja immunologiczne: tworzenie znaczenia in vivo. Avant 3 (1).score: 45.0
    [Przekład] Ja immunologiczne jest naszym zreifikowanym opisem procesów, dzięki którym układ odpornościowy utrzymuje wyodrębnioną tożsamość organizmu i siebie samego. Jest to proces interpretacyjny, i żeby badać go w sposób naukowo konstruktywny, powinniśmy połączyć długoletnią hermeneutyczną tradycję pytania o naturę interpretacji ze współczesnym rozumieniem układu odpornościowego, pojawiającymi się technologiami badawczymi oraz zaawansowanymi narzędziami obliczeniowymi analizującymi dane sensoryczne.
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  22. Li Qian, Yu Huang, C. Ian Spencer, Amy Foley, Vasanth Vedantham, Lei Liu, Simon J. Conway, Ji-Dong Fu & Deepak Srivastava (2012). In Vivo Reprogramming of Murine Cardiac Fibroblasts Into Induced Cardiomyocytes. In Jeffrey Kastner (ed.), Nature. Mit Press. 593-598.score: 45.0
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  23. Roger Strand (forthcoming). Fra in vitro til in vivo. Norsk Filosofisk Tidsskrift.score: 45.0
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  24. Jonathan B. L. Bard (1990). Traction and the Formation of Mesenchymal Condensations in Vivo. Bioessays 12 (8):389-395.score: 45.0
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  25. Peter Dröge (1994). Protein Tracking‐Induced Supercoiling of DNA: A Tool to Regulate DNA Transactions in Vivo? Bioessays 16 (2):91-99.score: 45.0
  26. Hiromi Fujiwara & Toshiyuki Hamaoka (1986). The Cellular and Molecular Basis of the Lyt‐1+2− T Cell‐Mediated Tumor‐Eradicating Mechanism in Vivo. Bioessays 4 (1):19-23.score: 45.0
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  27. Peter E. Nielsen (1989). In Vivo Footprinting: Studies of Protein–DNA Interactions in Gene Regulation. Bioessays 11 (5):152-155.score: 45.0
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  28. Paul Siegel & Richard Warren (2013). The Effect of Very Brief Exposure on Experienced Fear After in Vivo Exposure. Cognition and Emotion 27 (6):1013-1022.score: 45.0
  29. Irving L. Weissman (1986). Lymphocyte Homing Receptors and the Immune Response in Vivo. Bioessays 5 (3):112-116.score: 45.0
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  30. Tudor M. Baetu, Ann-Sophie Barwich, Daniel Brooks, Sébastien Dutreuil & Pierre-Luc Germain (2013). Model Thinking in the Life Sciences: Complexity in the Making: Second European Advanced Seminar in the Philosophy of the Life Sciences,“In Vivo, Ex Vivo, in Vitro, in Silico: Models in the Life Sciences” Hermance, Switzerland, 10–14 September 2012.(Meeting Report). [REVIEW] Biological Theory 8 (1):121 - 124.score: 45.0
     
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  31. Victoria M. Bedell, Ying Wang, Jarryd M. Campbell, Tanya L. Poshusta, Colby G. Starker, Randall G. Krug Ii, Wenfang Tan, Sumedha G. Penheiter, Alvin C. Ma & Anskar Yh Leung (2012). In Vivo Genome Editing Using a High-Efficiency TALEN System. In Jeffrey Kastner (ed.), Nature. Mit Press.score: 45.0
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  32. Xose R. Bustelo, Vincent Sauzeau & Inmaculada M. Berenjeno (2007). GTP‐Binding Proteins of the Rho/Rac Family: Regulation, Effectors and Functions in Vivo. Bioessays 29 (4):356-370.score: 45.0
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  33. James E. Haber (1995). In Vivo Biochemistry: Physical Monitoring of Recombination Induced by Site‐Specific Endonucleases. Bioessays 17 (7):609-620.score: 45.0
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  34. Lauren Kegley (2010). In-vivo testing of vertically aligned nanowire implantable titanium electrodes in the rattus norvegicus hippocampus. Inquiry 11.score: 45.0
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  35. Steve Kellmeyer (2007). Embryo Adoption: A Form of In Vivo Organ Donation? The National Catholic Bioethics Quarterly 7 (2):263-270.score: 45.0
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  36. E. W. Kraegen, J. A. Sowden, M. B. Halstead, Pw Clark, Kj Rodnick, Dj Chisholm & De James (1994). Glucose Transporters and in Vivo Glucose Uptake in Skeletal and Cardiac Muscle: Fasting, Insulin Cells. Bioessays 16:753-759.score: 45.0
     
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  37. Dirk‐Henner Lankenau & Gregory B. Gloor (1998). In Vivo Gap Repair in Drosophila: A One‐Way Street with Many Destinations. Bioessays 20 (4):317-327.score: 45.0
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  38. H. M. Lieberstein (1965). Determination of the Tension-Stretch Relation for a Point in the Aorta From Measurement in Vivo of Pressure at Three Equally Spaced Points. Acta Biotheoretica 17 (2).score: 45.0
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  39. F. MAÑAS, Cidm Gonzalez, A. Weyers, L. Ugnia, Ovando H. García & I. Larripa (2007). Evaluación de genotoxicidad in vivo mediante el ensayo cometa y de micronúcleos en ratones tratados con glifosato. Theoria 15:53-60.score: 45.0
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  40. Ian C. MacDonald, Alan C. Groom & Ann F. Chambers (2002). Cancer Spread and Micrometastasis Development: Quantitative Approaches for in Vivo Models. Bioessays 24 (10):885-893.score: 45.0
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  41. Sylvain Marcellini, Juan Pablo Henriquez & Ariana Bertin (2012). Control of Osteogenesis by the Canonical Wnt and BMP Pathways in Vivo. Bioessays 34 (11):953-962.score: 45.0
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  42. Jeffrey Boone Miller, Elizabeth A. Everitt, Timothy H. Smith, Nancy E. Block & Janice A. Dominov (1993). Cellular and Molecular Diversity in Skeletal Muscle Development: News From in Vitro and in Vivo. Bioessays 15 (3):191-196.score: 45.0
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  43. Benedikt Römer, Alexander Sartorius, Dragos Inta, Barbara Vollmayr & Peter Gass (2008). Imaging New Neurons in Vivo: A Pioneering Tool to Study the Cellular Biology of Depression? Bioessays 30 (9):806-810.score: 45.0
  44. Hannes Schmidt & Fritz G. Rathjen (2010). Signalling Mechanisms Regulating Axonal Branching in Vivo. Bioessays 32 (11):977-985.score: 45.0
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  45. Toshiya Teraishi & Kenji Miura (2009). Toward an in Situ Phospho‐Protein Atlas: Phospho‐and Site‐Specific Antibody‐Based Spatio‐Temporally Systematized Detection of Phosphorylated Proteins in Vivo. Bioessays 31 (8):831-842.score: 45.0
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  46. Jean C. Augustinack, Karl Helmer, Kristen E. Huber, Sita Kakunoori, Lilla Zöllei & Bruce Fischl (2010). Direct Visualization of the Perforant Pathway in the Human Brain with Ex Vivo Diffusion Tensor Imaging. Frontiers in Human Neuroscience 4:42.score: 39.0
  47. Susan Bell Trickett & J. Gregory Trafton (2007). “What If…”: The Use of Conceptual Simulations in Scientific Reasoning. Cognitive Science 31 (5):843-875.score: 39.0
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  48. Anna Jean Wirth & Martin Gruebele (2013). Quinary Protein Structure and the Consequences of Crowding in Living Cells: Leaving the Test‐Tube Behind. Bioessays 35 (11):984-993.score: 39.0
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  49. Ubaldo Casotto (2012). L'uomo Vivo in Chesterton. The Chesterton Review in Italiano 2 (1):111-119.score: 39.0
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  50. G. Soranzo (1958). Tre elogi poco noti di Lorenzo il Magnifico, uno a lui vivo, due in morte. Rinascimento 9:203-316.score: 36.0
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