[A rare mechanism of flicker light activation in the electroencephalogram: imitation of pathophysiological mechanisms in cybernetic model and on problems of cybernetics].
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Cybernetics↗
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Some cybernetic aspects of sociology: cybernetics of segregation.
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Cybernetics↗
[Pediatrics in the "century of automation and cybernetics". Cybernetic models and data processing systems in clinical research, diagnosis, medical documentation and literature retrieval].
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Child↗
Metabolic engineering from a cybernetic perspective. 1. Theoretical preliminaries
The theoretical basis of a cybernetic metabolic network design and analysis framework, which has been subsequently successfully applied to predict system response to genetic alteration, is presented. This conceptual methodology consists of three main branches, namely, a model realization framework, a representation of genetic alteration, and lastly, a metabolic design component. These concepts are introduced as a series of postulates that describe the basic tenets of the approach. Each branch is discussed in turn, starting with the cybernetic representation of arbitrarily complex metabolic networks. A set of postulates is put forth that affords the modular construction of cybernetic models of metabolic networks using as a base a library of elementary pathways. This is followed by a discussion of the representation of genetic alterations within the cybernetic framework. It is postulated that the objective of the base network and the altered system are identical (at least on the time scale required for the organism to "learn" new objectives). This implies, with respect to resource allocation, that the base network and its genetically altered counterpart may still be treated as optimal systems; however, the set of competing physiological choices open to the altered network expands or contracts depending upon the nature of the genetic perturbation. Lastly, to add a predictive design aspect to the methodology, we present a set of postulates that outline the application of metabolic control analysis to cybernetic model systems. We postulate that sensitivity coefficients computed from a cybernetic model, although still local in scope, have the added benefit of a systematic representation of regulatory function as described by the cybernetic variables. Thus, information gained from sensitivity measurements stemming from a cybernetic model include the explicit input of metabolic regulation, a component that is lacking in a purely kinetic representation of metabolic function. The sensitivity results can then be employed to develop qualitative strategies for the rational alteration of metabolic function, which can be evaluated by simulation of an appropriately modified cybernetic model of the base network.
Journal Article↗
[Medical cybernetics in Czechoslovakia--the first steps].
During fifties there were at most few tens of persons in this country who believed in the future of computers and cybernetics. One group of such enthusiasts, headed by Antonín Svoboda, was working at a construction of the first Czech computer SAPO. The other group tried to analyse, anticipate, and prepare in advance various applications for the new systemic conceptions and for the information processing machines. Members of both groups met for discussions which opened prospects to the future and influenced many of other activities for a long time. At the early sixties, the Czechoslovak Cybernetic Society was established at the Czechoslovak Academy of Sciences and in 1962 the Main Problem Committee for the Medical Cybernetics was founded at the Department of Health. It coordinated majority of the research programmes in the medical cybernetics and informatics. In 1967-1969 the Committee prepared an extensive project of a medical information system (ZIS), but its accomplishment was finally blocked by the then authorities. However, interests for that topics kept growing and the new working places equipped with available computer technology were formed at the health and clinical centres. The first tentative lectures in medical cybernetics and biocybernetics at our faculty were introduced into the students curricula in the late sixties. Thematically, medical cybernetics subsequently differentiated into the medical informatics, simulations of biological and medical systems, and the biosignal analysis. The growing interest enabled to hold conferences since the middle of seventies, some of which were held periodically, sometimes with international participation. It is not possible in brevity to include the whole spectrum to those goal-directed activities nor to appraise adequately their future significance.
Cybernetics↗
Metabolic engineering from a cybernetic perspective. 2. Qualitative investigation of nodal architechtures and their response to genetic perturbation
A cybernetic representation of the branch point development of Stephanopoulos and Vallino is formulated. The model systems are employed to translate the qualitative properties of the nodal control architectures characterized by Stephanopoulos and Vallino into a mathematical context. It is shown that a cybernetic model in which the objective is the independent maximization of the levels of branch point products is consistent with the characterization of a flexible node. In contrast, the rigid control architecture is shown to be equivalent to the maximization of the mathematical product of the branch point products. It has been demonstrated subsequently that cybernetic metabolic network models are capable of predicting the system response to enzymatic amplification. However, given the complicated nature of the subsequent models, a clear illustration of the basic mechanism by which such predictions are manifested is not forthwith. Thus, a second objective of the present work is the examination of the response of the flexible and rigid control architectures to genetic perturbation, specifically enzymatic overexpression, with the expressed aim of elucidating the mechanism by which a cybernetic model predicts metabolic network responsiveness. It is shown that the ramifications of genetic perturbation are transmitted through the cybernetic representation of a metabolic network via the resource allocation structure which acts as the conduit by which regulatory signals are transmitted to seemingly unconnected portions of the network. It is postulated that enzymatic overexpression under an artificial promoter represents, from the perspective of the microorganism, an uncontrollable resource drain that forces the metabolic network control architecture to reevaluate the standing resource allocation policy as implemented via the cybernetic control variables. In biological terms, the reevaluation of allocation policy implies a shift in the level and activity of network enzymes yielding, in some cases, qualitatively different network function. It is our position that, conceptually, this is equivalent to the conventional wisdom that genetic manipulation of a metabolic network is the impetus for shifts in the network functionality, i.e., enzyme levels as well as activity. Thus, this development provides a necessary intellectual precursor for the formulation and analysis of the model systems that follow.
Journal Article↗
Metabolic engineering from a cybernetic perspective: aspartate family of amino acids.
Using the modular cybernetic framework developed by Varner and Ramkrishna (Varner and Ramkrishna; 1998a, b) a cybernetic model is formulated that describes the time evolution of the aspartate family of amino acids in Corynebacterium lactofermentum ATCC 21799. The network model formulation is employed in the role of a diagnostic tool for the overproduction of threonine. More precisely, having determined a parameter set that describes the time evolution of a base strain (lysine producer), the model predicted response to genetic perturbations, designed to enhance the level of threonine, are simulated using an appropriately modified cybernetic model and compared with the experimental results of Stephanopoulos and Sinskey (Colón et al., 1995a, Appl. Environ. Microbiol. 61, 74-78) for identical genetic perturbations. It is found that the model predicted response to enzymatic over-expression in the aspartate pathway agrees, for the most part, with experimental observations within the experimental error bounds. This result lends credence to the hypothesis that cybernetic models can be employed to predict the local response of a metabolic network to genetic perturbation, thereby, affording cognizance of the potential pitfalls of a particular genetic alteration strategy a priori.
Aspartic Acid↗
Unveiling steady-state multiplicity in hybridoma cultures: the cybernetic approach.
Mammalian cells grown in suspension produce waste metabolites such as lactate, alanine, and ammonia, which reduce the yield of cell mass and the desired product on the nutrients supplied. Previous studies (Cruz et al., 1999; Europa et al., 2000; Follstad et al., 1999) have shown that the cells can be made to alter their metabolism by starving them on their nutrients in continuous cultures at low dilution rates or starting the culture as a fed-batch. This leads to multiple steady states in continuous reactors, with some states being more favorable than others. Mathematical models that take into account the metabolic regulation that leads to these multiple steady states are invaluable tools for bioreactor control. In this article we present a cybernetic modeling strategy in which Metabolic Flux Analysis (MFA) is used to guide the cybernetic formulation. The hybridoma model presented as a result of this strategy considers the partially substitutable, partially complementary nature of glucose and glutamine. The choice of competitions within the network is guided by MFA and the model is successful in explaining the three multiple steady states observed. The cybernetic model though identified for the hybridoma experiments of Hu and others (Europa et al., 2000) seem generally applicable to mammalian systems as it captures the pathways that are common to mammalian cells grown in suspension. The model presented here could be used for start-up strategies for continuous reactors and model-based feedback control for maintaining high productivity of the reactor.
Animals↗
Metabolic modeling of Saccharomyces cerevisiae using the optimal control of homeostasis: a cybernetic model definition.
A model is presented to describe the observed behavior of microorganisms that aim at metabolic homeostasis while growing and adapting to their environment in an optimal way. The cellular metabolism is seen as a network with a multiple controller system with both feedback and feedforward control, i.e., a model based on a dynamic optimal metabolic control. The dynamic network consists of aggregated pathways, each having a control setpoint for the metabolic states at a given growth rate. This set of strategies of the cell forms a true cybernetic model with a minimal number of assumptions. The cellular strategies and constraints were derived from metabolic flux analysis using an identified, biochemically relevant, stoichiometry matrix derived from experimental data on the cellular composition of continuous cultures of Saccharomyces cerevisiae. Based on these data a cybernetic model was developed to study its dynamic behavior. The growth rate of the cell is determined by the structural compounds and fluxes of compounds related to central metabolism. In contrast to many other cybernetic models, the minimal model does not consist of any assumed internal kinetic parameters or interactions. This necessitates the use of a stepwise integration with an optimization of the fluxes at every time interval. Some examples of the behavior of this model are given with respect to steady states and pulse responses. This model is very suitable for describing semiquantitatively dynamics of global cellular metabolism and may form a useful framework for including structured and more detailed kinetic models.
Cybernetics↗
Self-improvement in a complex cybernetic system and its implications for biology.
It is commonly accepted by those who consider macroevolution as a process decoupled from microevolution that its apparent jerkiness (and, hence, incompatibility with principles of population genetics) results from the structural complexity of epigenetic systems, since all complex cybernetic systems are expected to behave discontinuously. To analyse the validity of this assumption, the process of self-improvement has been analysed in a complex cybernetic system by means of computer simulations. It turns out that the investigated system tends to develop by accumulation of as small structural changes as possible, while larger changes are likely to result in the collapse of the system rather than in its persistence or improvement. This implies that cybernetic considerations alone cannot justify the claim that the very nature of epigenetic systems induces evolution by discrete steps rather than by gradual accumulation of small changes.
Animals↗
Cybernetic model for the growth of Saccharomyces cerevisiae on melibiose.
Cybernetic modeling has traditionally been used in the modeling of microbial growth on multiple substrates. In this paper, cybernetic modeling has been applied to serve as a model for growth on substrates such as melibiose, which are disaccharides and enzymatically degrade to a monosaccharide mixture in the fermentation broth. The enzyme alpha-galactosidase has been shown to be strongly induced in the presence of galactose and severely repressed by glucose. In the present model, the relative concentration of alpha-galactosidase has been linked to that of the key enzyme for galactose metabolism. The enzymatic degradation process is placed under the control of the cybernetic variables. The maximum rate of melibiose degradation vm and the Monod parameters for growth of Saccharomyces cerevisiae on pure glucose and galactose were estimated by batch growth experiments. S. cerevisiae growth on melibiose and a mixture of melibiose and glucose under a variety of preculturing conditions was simulated. Depending on the rate of enzymatic degradation (i.e., the value of vm), the cell mass profile for microbial growth on a disaccharide can resemble profiles for growth on a single substrate (melibiose) or can resemble diauxie growth. Experiments indicate that the model is able to accurately predict the cell mass profiles for yeast growth.
Culture Media↗
Microbial metabolism as an evolutionary response: the cybernetic approach to modeling.
The growth and metabolic capabilities of microorganisms depend on their interactions with the culture medium. Many media contain two or more key substrates, and an organism may have different preferences for the components. Microorganisms adjust their preferences according to the prevailing conditions so as to favor their own survival. Cybernetic modeling describes this evolutionary strategy by defining a goal that an organism tries to attain optimally at all times. The goal is often, but not always, maximization of growth, and it may require the cells to manipulate their metabolic processes in response to changing environmental conditions. The cybernetic approach overcomes some of the limitations of metabolic control analysis (MCA), but it does not substitute MCA. Here we review the development of the cybernetic modeling of microbial metabolism, how it may be combined with MCA, and what improvements are needed to make it a viable technique for industrial fermentation processes.
Animals↗
Creativity, pathology, and family structure: a cybernetic metaphor.
This paper describes a cybernetic metaphor as a novel paradigm for family theory, linking aspects of cybernetic epistemology as described by Bateson (1) with the tropes, major figures of speech, as defined by the linguist Jakobson (25). Jakobson describes two operations characteristics of all human discourse at many levels of organization and abstraction: the metaphoric, linking by similarity; and the metonymic, linking by contiguity. A cybernetic metaphor suggest a view of individuals as adaptive systems able to transform novelty into expectations (49) in one of two ways and thereby maintain a relationship with their context. Those who encounter contexts characterized by "dissonances" in structure and basic premises would adopt the metaphoric mode by finding similarities in apparent differences and thus learn to link separate domains. Those learning to orient themselves in a context of consistent basic premises and structure would adopt the metonymic mode, linking by temporal or spacial contiguity within an implicit assumed whole. Clinical examples and the literature on the families of symptomatic and creative individuals will be used as illustrations of this process of learning communicative modes.
Adolescent↗
[The beginnings of cybernetics and its introduction into the biomedical arena in the Czech Republic].
During fifties at most few tens of persons were in Czechoslovakia who believed in the future of computers and cybernetics. At the sixties, the Czechoslovak Cybernetics was established and in 1962 the Main Problem Committee for the Medical Cybernetics was founded at the Ministry of Health. The first tentative lectures on this topics at the Charles University Medical faculty were introduced in the late sixties. The growing interest enabled to hold national and international conferences since the middle of seventies. There is mentioned the whole spectrum of these goal-directed activities so important for the future.
Cybernetics↗
Application of cybernetic models to metabolic engineering: investigation of storage pathways
A cybernetic model is proposed to examine generic features of storage pathways. This model is capable of describing synthesis of carbon and non-carbon storage polymers. The effect of environmental conditions is evaluated using storage polymer level as a fraction of total biomass as a gauge of pathway performance. The base wild-type pathway is then analyzed to determine the effect of genetic alterations upon system performance. Proposed modifications are tested using the cybernetic model as a diagnostic tool to ascertain the ramifications of potential genetic alterations. A methodology is developed within the cybernetic framework to describe alterations of enzyme activity and over-expression of pathway enzymes. Copyright 1998 John Wiley & Sons, Inc.
Journal Article↗
Cybernetic aspects of bone modeling and remodeling, with special reference to osteoporosis and whole-bone strength.
Assume mythical physiologists were taught that renal physiology and its disorders depend on "kidney cells" and their regulation by nonmechanical factors, but were taught nothing about nephrons. For decades they "knew" that idea was correct, just as Ptolemy "knew" the universe centers on our planet. But then others began to describe nephrons, their roles in renal physiology and disorders, and problems they revealed in former views, so doubts and controversies began. Today real physiologists encounter a similar situation for bone health and its disorders. A 1960 paradigm attributed such things to bone's effector cells (osteoblasts and osteoclasts) and their regulation by nonmechanical factors, without "nephron-equivalent" or biomechanical input. But both mechanical and nonmechanical factors regulate bone's nephron equivalents. Adding features of those equivalents to the 1960 views led to the Utah paradigm, which suggests problems in former views and better explanations for "osteoporosis," whole-bone strength, and other bone disorders. Such things incited controversies among current skeletal physiologists. Cybernetics concerns the relationships, mechanisms, signals, and message traffic that help to control the behavior and other features of dynamic systems. A cybernetic analysis of the bone physiology in the Utah paradigm can add many features to the 1960 paradigm that help to understand osteoporoses, other bone disorders, and whole-bone strength (and bone mass). The added features also show new and pertinent targets for the related research.
Bone Development↗
Verification of immune response optimality through cybernetic modeling.
An immune response cascade that is T cell independent begins with the stimulation of virgin lymphocytes by antigen to differentiate into large lymphocytes. These immune cells can either replicate themselves or differentiate into plasma cells or memory cells. Plasma cells produce antibody at a specific rate up to two orders of magnitude greater than large lymphocytes. However, plasma cells have short life-spans and cannot replicate. Memory cells produce only surface antibody, but in the event of a subsequent infection by the same antigen, memory cells revert rapidly to large lymphocytes. Immunologic memory is maintained throughout the organism's lifetime. Many immunologists believe that the optimal response strategy calls for large lymphocytes to replicate first, then differentiate into plasma cells and when the antigen has been nearly eliminated, they form memory cells. A mathematical model incorporating the concept of cybernetics has been developed to study the optimality of the immune response. Derived from the matching law of microeconomics, cybernetic variables control the allocation of large lymphocytes to maximize the instantaneous antibody production rate at any time during the response in order to most efficiently inactivate the antigen. A mouse is selected as the model organism and bacteria as the replicating antigen. In addition to verifying the optimal switching strategy, results showing how the immune response is affected by antigen growth rate, initial antigen concentration, and the number of antibodies required to eliminate an antigen are included.
Animals↗
Impact of a cybernetic system of feedback to physicians on inappropriate hospital use.
A cybernetic control program aimed at reducing inappropriate days of hospital stay for patients was implemented for all Medicare admissions at hospitals in four counties in Western Maryland. The findings of a study of the program are reported here. The objective of the study was to determine the relationship of the volume of the physician's hospitalized patients on both the existing levels of inappropriate hospital utilization and the physician's response to the cybernetic system. The findings indicated that: (a) existing levels of inappropriate hospital use generally increased with higher patient volume, (b) physicians with a low volume of hospitalized patients were less likely to decrease their inappropriate use of hospitals as a result of feedback than physicians with medium or high volumes of admitted patients, and (c) at all volume levels, the average decrease in inappropriate days was larger than the average increase in inappropriate days.
Cybernetics↗