The five principles of the functioning of complex systems, systems of the third type

2015 ◽  
Vol 9 (1) ◽  
pp. 0-0 ◽  
Author(s):  
Еськов ◽  
V. Eskov ◽  
Филатова ◽  
O. Filatova ◽  
Хадарцев ◽  
...  
Keyword(s):  
Phase Space ◽  
Complex Systems ◽  
Human Body ◽  
State Vector ◽  
Kinematics And Dynamics ◽  
Motion Trajectory ◽  
First Principle ◽  
Final State ◽  
The Third ◽  
Homogeneous Systems

The article is devoted to the basis of the five principles that characterize complex systems, systems of the third type. The authors provide the opportunities caused from the solutions of the equations of kinematics and dynamics. Uncertainty, unpredictability and uniqueness of complex systems, which include the human body, are demonstrated. The first principle, the postulate of synergetics, is associated with homogeneous systems in which the dynamics of the behavior of the system as a whole and not its individual elements, - is studied. The second principle of the organization of the systems of the third type - the glimmering property, - it is impossible to repeat the motion trajectory in phase space. This position is confirmed by the tremorogramm analysis. The third and fourth principles are evolution and teleological motion vectors of such systems to the final state, de-scribed not a point, but the area of phase space, quasi-attractor. The fifth property is the possibility of the output coordinates of the state vector to outside at 3, 10 and more Sigma, which ensures the survivability of biological systems.

Other World, Other Science, Other Models in Complexity Descreaption

10.12737/3328 ◽  
2014 ◽  
Vol 21 (1) ◽  
pp. 138-141
Author(s):  
Еськов ◽  
Valeriy Eskov ◽  
Филатова ◽  
O. Filatova
Keyword(s):  
Phase Space ◽  
State Vector ◽  
Stochastic Systems ◽  
Chaotic Behavior ◽  
Future Generation ◽  
Self Organization ◽  
Stationary Mode ◽  
Initial State ◽  
Heisenberg Uncertainty Principle ◽  
The Third

The understanding of very special systems of third type was created according to W.Weaver efforts. The new theory of chaos – self- organization was created last 40 years and was based on other understanding of stationary mode of third type of systems and its very specific chaotic behavior. The analog of the systems with physical system was discussed too. The third type of systems (opposite of deterministic and stochastic systems) was presented. It was discussed the principle distinguishes between dynamics of such system and traditional systems according to Heisenberg uncertainty principle. Traditional systems have certain and reproducible initial state of its system’s state vector and we can predict its future states. But in the third type of systems the authors have uncertain initial system state and uncertain vector states. It is a unique system which I.R. Prigogine in his famous article to the future generation determines as systems behind the science. The time for researching of such systems has come. For the modeling of biosystems, the authors propose method of quasi-attractor and define five special properties of complex systems. The main of it is connected with uninterrupted chaotic movements (glimmering property) of system’s vector in phase space of state and evolution of such system’s state vector in phase space of state. It was demonstrated that Heizenberg principle of uncertainty has special analog at theory of chaos – self organization. The botton boarder of the left side of inequality for the systems of third type the authors propose the value of quasiattractors, inside of it we chaos uninferrupled and chaotic movements of systems state vector. The value of quasiattractor determine like multiplication of coordinat x its speed dx/dt.

Age Evolution of Human Body as a Quasi-Attractor’s Motion

10.12737/7260 ◽  
2014 ◽  
Vol 21 (4) ◽  
pp. 11-20
Author(s):  
Горленко ◽  
N. Gorlenko ◽  
Гараева ◽  
G. Garaeva ◽  
Ватамова ◽  
...  
Keyword(s):  
Phase Space ◽  
Human Body ◽  
State Vector ◽  
Translational Motion ◽  
Two Dimensional ◽  
Cardiorespiratory System ◽  
Age Related ◽  
Dimensional Phase Space ◽  
Evolving System ◽  
Age Related Changes

Today the formalization of the description of the evolving system doesn’t exist in biology. But if a biosystem is described by a state vector x=x(t)=(x1, x2, …, xm)T in multidimensional phase space, notions of speed and acceleration for the description of quasi-attractor’s motion can be introduced. Vector x(t) moves constantly and chaotically inside the quasi-attractor, i.e. dx/dt≠0 is constant. With age these quasi-attractors show translational motion in phase space for which the model as an dx/dt=(a-bx)x is created and speed V=dx/dt and acceleration a=dV/dt are determined for evolution of biosystems. The current paper presents concrete examples of age-related changes of quasi-attractor’s parameters (two-dimensional phase space) that should be considered as an evolution of vector of cardiorespiratory system in six-dimensional phase space. Models of such dynamics are discussed according to quasi-attractor’s parameters that allow to calculating speed and acceleration of evolution in some integrative values.

Monte Carlo Algorithms for Moments of Transition Arrays

1988 ◽  
Vol 102 ◽  
pp. 79-81
Author(s):  
A. Goldberg ◽  
S.D. Bloom
Keyword(s):  
Monte Carlo ◽  
State Vector ◽  
Basis Vector ◽  
Collective State ◽  
Dispersion Characteristics ◽  
Dipole Strength ◽  
The Third ◽  
Monte Carlo Algorithms ◽  
Third Moment ◽  
Very High

AbstractClosed expressions for the first, second, and (in some cases) the third moment of atomic transition arrays now exist. Recently a method has been developed for getting to very high moments (up to the 12th and beyond) in cases where a “collective” state-vector (i.e. a state-vector containing the entire electric dipole strength) can be created from each eigenstate in the parent configuration. Both of these approaches give exact results. Herein we describe astatistical(or Monte Carlo) approach which requires onlyonerepresentative state-vector |RV> for the entire parent manifold to get estimates of transition moments of high order. The representation is achieved through the random amplitudes associated with each basis vector making up |RV>. This also gives rise to the dispersion characterizing the method, which has been applied to a system (in the M shell) with≈250,000 lines where we have calculated up to the 5th moment. It turns out that the dispersion in the moments decreases with the size of the manifold, making its application to very big systems statistically advantageous. A discussion of the method and these dispersion characteristics will be presented.

First principle simulation on oxidation mechanism of diethyl ether by nitrogen dioxide

2015 ◽  
Vol 14 (03) ◽  
pp. 1550020 ◽  
Author(s):  
Yuan Yuan ◽  
Wei Hu ◽  
Xuhui Chi ◽  
Cuihua Li ◽  
Dayong Gui ◽  
...  
Keyword(s):  
Diethyl Ether ◽  
Energy Barrier ◽  
Density Functional ◽  
Oxidation Process ◽  
Oxidation Mechanism ◽  
High Energy ◽  
First Principle ◽  
Functional Theory ◽  
The Third ◽  
High Energy Barrier

The oxidation mechanism of diethyl ethers by NO2was carried out using density functional theory (DFT) at the B3LYP/6-31+G (d, p) level. The oxidation process of ether follows four steps. First, the diethyl ether reacts with NO2to produce HNO2and diethyl ether radical with an energy barrier of 20.62 kcal ⋅ mol-1. Then, the diethyl ether radical formed in the first step directly combines with NO2to form CH3CH ( ONO ) OCH2CH3. In the third step, the CH3CH ( ONO ) OCH2CH3was further decomposed into the CH3CH2ONO and CH3CHO with a moderately high energy barrier of 32.87 kcal ⋅ mol-1. Finally, the CH3CH2ONO continues to react with NO2to yield CH3CHO , HNO2and NO with an energy barrier of 28.13 kcal ⋅ mol-1. The calculated oxidation mechanism agrees well with Nishiguchi and Okamoto's experiment and proposal.

scholarly journals The (De)materialization of Criminal Bodies in Forensic DNA Phenotyping

2020 ◽  
pp. 1357034X2091916
Author(s):  
Rafaela Granja ◽  
Helena Machado ◽  
Filipa Queirós
Keyword(s):  
Human Body ◽  
Skin Colour ◽  
Criminal Investigation ◽  
Genetic Technology ◽  
Forensic Dna ◽  
Data Reliability ◽  
The Third ◽  
Criminal Suspect ◽  
Biogeographical Ancestry ◽  
Forensic Dna Phenotyping

Forensic DNA phenotyping is a genetic technology that might be used in criminal investigations. Based on DNA samples of the human body found at crime scenes, it allows to infer externally visible characteristics (such as eye, hair and skin colour) and continental-based biogeographical ancestry. By indicating the probable visible appearance of a criminal suspect, forensic DNA phenotyping allows to narrow down the focus of a criminal investigation. In this article, drawing on interviews with forensic geneticists, we explore how their narratives translate contemporary focus on criminal molecularized bodies. We propose the concept of (de)materialization to approach three aspects of the forensic geneticists’ views. The first regards considering bodies as mutable entities. The second relates to socially contingent meanings attributed to bodies. The third regards to controversies surrounding data reliability. By reflecting upon the (de)materialization of criminal bodies, forensic geneticists juxtapose the defence and unsettling of forensic DNA phenotyping claims.

The power of the force: mechano-physiology of the giant titin

2018 ◽  
Vol 2 (5) ◽  
pp. 681-686 ◽  
Author(s):  
Jaime Andrés Rivas-Pardo
Keyword(s):  
Amino Acid ◽  
Human Body ◽  
Actin Filaments ◽  
Polypeptide Chain ◽  
Single Gene ◽  
The Other ◽  
Amino Acid Residues ◽  
The Third ◽  
Single Polypeptide Chain ◽  
Single Polypeptide

Titin — the largest protein in the human body — spans half of the muscle sarcomere from the Z-disk to the M-band through a single polypeptide chain. More than 30 000 amino acid residues coded from a single gene (TTN, in humans Q8WZ42) form a long filamentous protein organized in individual globular domains concatenated in tandem. Owing to its location and close interaction with the other muscle filaments, titin is considered the third filament of muscle, after the thick-myosin and the thin-actin filaments.

Two types of approaches at personification medicine development

2015 ◽  
Vol 4 (1) ◽  
pp. 81-88
Author(s):  
Филатова ◽  
O. Filatova ◽  
Хадарцева ◽  
K. Khadartseva ◽  
Еськов ◽  
...  
Keyword(s):  
Phase Space ◽  
Medical Treatment ◽  
Basic Principle ◽  
State Vector ◽  
The State ◽  
Self Organization ◽  
Human Organism ◽  
Medicine Development ◽  
State Measurement

It is evident that requirement of medical personification includes two procedures: individual (with uninterrupted procedure of human organism state measurement) diagnostics and the second part which is connected with uninterrupted control of the efficiency of medical treatment and measurements of human organism parameters. According to classic deterministic-stochastic approaches we don´t have any possibility for realization of the basic principle in medicine because every human organism has its own specific features. We conduct the diagnostics according to beha-vior of state vector of human organism in phase space of states according to every coordinates of human´s state vector and with calculation of quasiattractors. It was presented new bioinformational methods and software for calculation of quasiattractors parameters for dissolving such contradic-tions between deterministic-stochastic medicine and the use of theory of chaos self-organization where the state vector of human organism demonstrates uninterrupted movements. The practical results of such procedure are also presented according to the theory of chaos self-organization.

Types of scientific rationality in aspects of the three paradigm

2015 ◽  
Vol 4 (1) ◽  
pp. 22-30
Author(s):  
Карпин ◽  
V. Karpin ◽  
Живогляд ◽  
R. Zhivoglyad ◽  
Гудкова ◽  
...  
Keyword(s):  
Complex Systems ◽  
Basic Principle ◽  
Self Organization ◽  
Scientific Rationality ◽  
Basic Principles ◽  
The Third ◽  
Self Development ◽  
The Future

Since the release of the well-known work of W. Weaver «Science and Complexity» (1948) only V.S. Stepin had taken some significant efforts to develop the doctrine of the three types of systems in nature. In this case, the main achievements of V.S. Stepin in postnonclassic reduced to two fundamental results: violation of the basic principle of T. Kuhn´s contradictions when changing paradigms (V.S. Stepin shows the effect of «investments», when complex systems operate classical and nonclassical rationality simultaneously) and repeated emphasis on the possibility of «change ... the probability of emerging of other (the system) conditions». At the same time, V.S. Stepin in his last works (monographs) identified a particular role of self-organization and self-development in case of complex biosocial systems. All this in theory of chaos and self-organization form 5 basic principles of functioning of complexity (or systems of the third type - STT). In fact, V.S. Stepin laid the foundation for the future (new) philosophy and developed now theory of chaos and self-organization in which humanity moved into the area of uncertainty of living (social in particular) systems completely. However, the rationality of the third type (postnonclassic) requires corrections and additions, as shown in a number of monographs of V.S. Stepin.

Non-stationary stationarity in systems of third type and philosophy of instability

2015 ◽  
Vol 4 (2) ◽  
pp. 65-74
Author(s):  
Гавриленко ◽  
T. Gavrilenko ◽  
Еськов ◽  
Valeriy Eskov ◽  
Еськов ◽  
...  
Keyword(s):  
Dynamical Systems ◽  
Complex Systems ◽  
Biological Systems ◽  
Deterministic Chaos ◽  
Stochastic Approach ◽  
Distribution Functions ◽  
Self Organization ◽  
Deterministic Approach ◽  
The Third ◽  
Specific Assessment

There are several criteria in science for stationarity (stability) of different dynamical systems. The stationarity in physics, engineering and chemistry is being interpreted as matching the requirements of dx/dt=0, where x=x(t) - is the vector of system’s state, or the equality of distribution functions f(x) for different samples which characterize the system. However, in case of social or biological systems the matching of the requirements is impossible and there is a problem of specific assessment of stationary regimes of complex systems of the third type. The possibility of studying of such systems within the frame of deterministic chaos, stochastic approach and theory of chaos and self-organization is being discussed. This article explains why I.R. Prigogine refused from materialistic (in fact deterministic) approach in the description of such special systems of third type and tried to get away from the traditional science in the description of biological systems.

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