Suchergebnisse - PHENOMENA AND PROCESSES::Mathematical Concepts::Algorithms~

A New Pharmacogenetic Algorithm to Predict the Most Appropriate Dosage of Acenocoumarol for Stable Anticoagulation in a Mixed Spanish Population von Cabeza Barrera, José, Dávila-Fajardo, Cristina Lucía, Tong, Hoi Y, Perea León, Laura María, Martínez-González, Luis Javier, Blanco Bañares, María J, Fernández-Capitán, Carmen, Borobia, Alberto M, Lubomirov, Rubin, Díaz-Villamarín, Xando, Carcas, Antonio J

“… efficient use of healthcare resources. The objective of this study is to develop a new algorithm that includes clinical and genetic variables to predict the most appropriate acenocoumarol dosage for stable anticoagulation in a wide range of patients …”
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Time To Revise COPD Treatment Algorithm von Matsunaga, Kazuto, Oishi, Keiji, Miravitlles, Marc, Anzueto, Antonio

“… In 2017, a new two-step algorithm for the treatment of COPD was proposed. This algorithm was based on the severity of symptoms and phenotypes or treatable …”
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Automated Home Oxygen Delivery for Patients with COPD and Respiratory Failure: A New Approach von Sanchez-Morillo, Daniel, Muñoz Zara, Pilar, Lara-Doña, Alejandro, Leon-Jimenez, Antonio

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Comparison as a Social Practice in the Analysis of Chaotic Phenomena: the Case of the Double Pendulum von Hernández-Zavaleta, Jesús E., Preciado Babb, Armando Paulino, Cantoral, Ricardo

“… While scholars have proposed incorporating the study of complex phenomena such as chaotic systems in high school and undergraduate-level curricula, the literature on this topic is scant …”
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S-Leaping: An Adaptive, Accelerated Stochastic Simulation Algorithm, Bridging τ-Leaping and R-Leaping von Lipková, Jana, Arampatzis, Georgios, Chatelain, Philippe, Menze, Bjoern, Koumoutsakos, Petros

“… We propose the S -leaping algorithm for the acceleration of Gillespie’s stochastic simulation algorithm that combines the advantages of the two main accelerated methods; the τ …”
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Distilling free-form natural laws from experimental data von Schmidt, Michael, Lipson, Hod

“… For centuries, scientists have attempted to identify and document analytical laws that underlie physical phenomena in nature …”
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Solving the chemical master equation by a fast adaptive finite state projection based on the stochastic simulation algorithm von Sidje, R.B., Vo, H.D.

“… •Efficient use of the stochastic simulation algorithm (SSA) to speed up the finite state projection (FSP) method …”
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Product-Form Stationary Distributions for Deficiency Zero Networks with Non-mass Action Kinetics von Anderson, David F., Cotter, Simon L.

“… In many applications, for example when computing statistics of fast subsystems in a multiscale setting, we wish to find the stationary distributions of systems …”
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Quasi-Monte Carlo Methods Applied to Tau-Leaping in Stochastic Biological Systems von Beentjes, Casper H. L., Baker, Ruth E.

“… Quasi-Monte Carlo methods have proven to be effective extensions of traditional Monte Carlo methods in, amongst others, problems of quadrature and the sample …”
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The Impact of Elastic Deformations of the Extracellular Matrix on Cell Migration von Malik, A. A., Wennberg, B., Gerlee, P.

“… In this paper, we develop a mathematical model of a single cell migrating on an elastic matrix, which accounts for the deformation of the matrix induced by forces exerted by the cell, and investigate …”
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Coloured Noise from Stochastic Inflows in Reaction–Diffusion Systems von Adamer, Michael F., Harrington, Heather A., Gaffney, Eamonn A., Woolley, Thomas E.

“… In this paper, we present a framework for investigating coloured noise in reaction–diffusion systems. We start by considering a deterministic …”
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Twelve quick tips for designing sound dynamical models for bioprocesses von Mairet, Francis, Bernard, Olivier

“… Because of the inherent complexity of bioprocesses, mathematical models are more and more used for process design, control, optimization, etc …”
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IFCRL: Interval-Intent Fuzzy Concept Re-Cognition Learning Model von Ding, Yi, Xu, Weihua, Ding, Weiping, Qian, Yuhua

“… The fuzzy concept serves as a crucial tool for describing phenomena and constitutes the fundamental unit of human cognition …”
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Extending the Multi-level Method for the Simulation of Stochastic Biological Systems von Lester, Christopher, Baker, Ruth E., Giles, Michael B., Yates, Christian A.

“… The multi-level method for discrete-state systems, first introduced by Anderson and Higham (SIAM Multiscale Model Simul 10(1):146–179, 2012 ), is a highly …”
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A moment-convergence method for stochastic analysis of biochemical reaction networks von Zhang, Jiajun, Nie, Qing, Zhou, Tianshou

“… Traditional moment-closure methods need to assume that high-order cumulants of a probability distribution approximate to zero. However, this strong assumption …”
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Stochastic Mechanochemical Description of a Bioinspired Polymerization Process von Véron, Alain R., Martins, Assis F.

“… We present a theoretical investigation of a polymerization process catalyzed by an enzyme …”
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Comparison of Deterministic and Stochastic Regime in a Model for Cdc42 Oscillations in Fission Yeast von Xu, Bin, Kang, Hye-Won, Jilkine, Alexandra

“… Oscillations occur in a wide variety of essential cellular processes, such as cell cycle progression, circadian clocks and calcium signaling in response to stimuli …”
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The use of concept maps during knowledge elicitation in ontology development processes – the nutrigenomics use case von Castro, Alexander Garcia, Rocca-Serra, Philippe, Stevens, Robert, Taylor, Chris, Nashar, Karim, Ragan, Mark A, Sansone, Susanna-Assunta

“… The involvement of geographically distributed domain experts, the need for domain experts to lead the design process, the application of the ontologies and the life cycles of bio-ontologies …”
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Simulation and inference algorithms for stochastic biochemical reaction networks: from basic concepts to state-of-the-art von Warne, David J, Baker, Ruth E, Simpson, Matthew J

“… Mathematical idealizations of biochemically reacting systems must be able to capture stochastic phenomena …”
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FiCoS: A fine-grained and coarse-grained GPU-powered deterministic simulator for biochemical networks von Tangherloni, Andrea, Nobile, Marco S., Cazzaniga, Paolo, Capitoli, Giulia, Spolaor, Simone, Rundo, Leonardo, Mauri, Giancarlo, Besozzi, Daniela

“… Mathematical models of biochemical networks can largely facilitate the comprehension of the mechanisms at the basis of cellular processes, as well as the formulation of hypotheses that can be …”
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