Results 121 to 130 of about 11,534,535 (349)
On the Relation between the Three-Parameter Groups of a Cubic Space Curve and a Quadric Surface [PDF]
, 1906 A. B. Coble
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Understanding and measuring mechanical signals in the tumor stroma
FEBS Open Bio, EarlyView.This review discusses cancer‐associated fibroblast subtypes and their functions, particularly in relation to extracellular matrix production, as well as the development of 3D models to study tumor stroma mechanics in vitro. Several quantitative techniques to measure tissue mechanical properties are also described, to emphasize the diagnostic and ...
Fàtima de la Jara Ortiz +3 more
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Bifurcation currents and equidistribution in parameter space [PDF]
, 2014 This chapter reviews the use of techniques of positive currents for the study of parameter spaces of one-dimensional holomorphic dynamical systems (rational mappings on P¹ or subgroups of the Möbius group PSL(2,C)). The topics covered include the construction of bifurcation currents and the characterization of their supports, the equidistribution ...
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Steering in the parameter space of a mode-locked laser [PDF]
EPJ Web of ConferencesThe specific control of individual mode-locking states in an ultrafast laser requires knowledge about its phase space. We use a Mamyshev oscillator as a model nonlinear system to present an all-electronic manipulation and steering of nonlinear states ...
Repgen P. +3 more
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Differential geometry of conics in the projective space of three dimensions.—I. Fundamental theorem in the theory of a one-parameter family of conics [PDF]
, 1928 Akitsugu Kawaguchi
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FEBS Open Bio, EarlyView.The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik +3 more
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Inference in High-Dimensional Parameter Space [PDF]
Journal of Computational Biology, 2015 Model parameter inference has become increasingly popular in recent years in the field of computational epidemiology, especially for models with a large number of parameters. Techniques such as Approximate Bayesian Computation (ABC) or maximum/partial likelihoods are commonly used to infer parameters in phenomenological models that best describe some ...
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Biological complexity facilitates tuning of the neuronal parameter space. [PDF]
PLoS Comput Biol, 2023 Schneider M +5 more
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One-parameter semigroups of subsets of a real linear space [PDF]
, 1960 Hans Rådström
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FEBS Open Bio, EarlyView.Stem cell‐based embryo models (SCBEMs) are valuable to study early developmental milestones. Matrigel, a basement membrane matrix, is a critical substrate used in various SCBEM protocols, but its role in driving stem cell lineage commitment is not clearly defined.
Atoosa Amel +3 more
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