Vester’s Sensitivity Model for Genetic Networks with Time-Discrete Dynamics

2014 ◽  
pp. 35-46 ◽  
Author(s):  
Liana Amaya Moreno ◽  
Ozlem Defterli ◽  
Armin Fügenschuh ◽  
Gerhard-Wilhelm Weber
Keyword(s):  
Genetic Networks ◽  
Discrete Dynamics

J. Brodsky vs G. Sapgir: the Ways to Fill the Emptiness

2020 ◽  
pp. 23-37
Author(s):  
Irina Plekhanova
Keyword(s):  
Sensory Perception ◽  
Discrete Dynamics ◽  
Mental Task ◽  
Creative Life

The goal of comparison of J. Brodsky’s and G. Sapgir’s ideas is to show the variety of the creative life search in the poetry of the late third of the XX century. The contribution of poetry to the XX century paradigm of uncertainty –from the relativistic physics to axiology – is to fill the emptiness. The existential and mental task is to poetically feel the transcendent deeper and bring it closer via «blending ethics with metaphysics». The contrast of the artistic systems is described as a controversy between the apolloniс and dionysian, mediumistic and voluntarist principles of creation. Brodsky’s neoclassicism is comparable to Sapgir’s discrete dynamics – both poets perceived the otherness via sharp perception of life in its dialogue with the emptiness. Poetry was seen as an adequate way to achieve transcendent knowledge; creative life was looking for the images convincing that one recognized the otherness in the form of the emptiness and for the means to transmit one’s perceptions about it. The dialogue with the emptiness is presented as a visionary intrusion into otherness and a search for resonance with it. Brodsky’s contemplation sees the transition as immersion into the multidimensionality; chrono-sensory perception unfolds metaphorically. Sapgir’s mystical propensity is sensual, it engages readers in the reflection through performances, spontaneous associations open the emptiness as the fullness. The authenticity of the cognition is felt by the poets in flesh, viscerally (anxiety, vertigo, exertion, pain).

The Opportunity for Canalization and the Evolution of Genetic Networks

2005 ◽  
Vol 165 (2) ◽  
pp. 147
Author(s):  
Proulx ◽  
Phillips
Keyword(s):  
Genetic Networks

scholarly journals Exponential sensitivity of noise-driven switching in genetic networks

2008 ◽  
Vol 5 (2) ◽  
pp. 026005 ◽  
Author(s):  
Pankaj Mehta ◽  
Ranjan Mukhopadhyay ◽  
Ned S Wingreen
Keyword(s):  
Genetic Networks

Genetic Networks and Soft Computing

2011 ◽  
Vol 8 (1) ◽  
pp. 94-107 ◽  
Author(s):  
Sushmita Mitra ◽  
Ranajit Das ◽  
Yoichi Hayashi
Keyword(s):  
Soft Computing ◽  
Genetic Networks

Arcs of discrete dynamics and constants of motion

1982 ◽  
Vol 6 (4) ◽  
pp. 249-252 ◽  
Author(s):  
R. Vilela Mendes ◽  
J. Taborda Duarte
Keyword(s):  
Discrete Dynamics ◽  
Constants Of Motion

scholarly journals Mutation and the evolution of ageing: from biometrics to system genetics

2010 ◽  
Vol 365 (1544) ◽  
pp. 1273-1279 ◽  
Author(s):  
Kimberly A. Hughes
Keyword(s):  
Evolutionary Genetics ◽  
Genetic Networks ◽  
Past Century ◽  
The Past ◽  
Laboratory Populations ◽  
Empirical Tests ◽  
Genetics And Genomics ◽  
Multicellular Organisms ◽  
Modern Population ◽  
Quantitative Explanation

A notable success for evolutionary genetics during the past century was to generate a coherent, quantitative explanation for an apparent evolutionary paradox: the tendency for multicellular organisms to show declining fitness with age (senescence, often referred to simply as ‘ageing’). This general theory is now widely accepted and explains most of the features of senescence that are observed in natural and laboratory populations, but specific instantiations of that theory have been more controversial. To date, most of the empirical tests of these models have relied on data generated from biometric experiments. Modern population genetics and genomics provide new, and probably more powerful, ways to test ideas that are still controversial more than half a century after the original theory was developed. System-genetic experiments have the potential to address both evolutionary and mechanistic questions about ageing by identifying causal loci and the genetic networks with which they interact. Both the biometrical approaches and the newer approaches are reviewed here, with an emphasis on the challenges and limitations that each method faces.

scholarly journals Electronic circuit analog of synthetic genetic networks: Revisited

2017 ◽  
Vol 226 (9) ◽  
pp. 1811-1828 ◽  
Author(s):  
Edward H. Hellen ◽  
Jürgen Kurths ◽  
Syamal K. Dana
Keyword(s):  
Electronic Circuit ◽  
Genetic Networks

Dynamically Regulated Initialization for S-system Modelling of Genetic Networks

2021 ◽  
Author(s):  
Jaskaran Gill ◽  
Madhu Chetty ◽  
Adrian Shatte ◽  
Jennifer Hallinan
Keyword(s):  
Genetic Networks ◽  
System Modelling
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