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Interactive typology in depression according to cognitive theory and systemic theory.

Both systemic and cognitive theories agree upon the importance of early learning in the development of depressive personality. The two theories disagree upon the meaning they give to the early experiences. According to cognitive theory the emotions bound to a significant and not reparable loss turn themselves into a pursuit of autonomy in order to prevent further grieves. In the grown-up person if autonomy is not reached or is lost, a depressive episode will rouse. According to the systemic theory, children learn emotions and behaviours of a depressed parent. The child also learns by himself or through the healthy parent the feeling of importance/inability to help. The grown-up person will make use of the depressed behaviour when he will feel unable to face by himself critical life events or to elice to care or attention by the partner.

Adult↗

The Systemic Theory of Living Systems and Relevance to CAM: Part I: The Theory.

The Systemic Theory of Living Systems is being published in several parts in eCAM. The theory is axiomatic. It originates from the phenomenological idea that physiological health is based on three factors: integrity of its structure or organization, O, functional organic energy reserve, E, and level of active biological intelligence, I. From the theory is derived a treatment strategy called Systemic Medicine (SM). This is based on identifying and prescribing phytomedicines and/or other medications that strengthen each factor. Energy-stimulating phytomedicines increase available energy and decrease total entropy of an open biological system by providing negative entropy. The same occurs with phytomedicines that act as biological intelligence modulators. They should be used as the first line of treatment in all ailments, since all pathologies, by definition, imply a higher than normal organic entropy. SM postulates that the state of health, H, of an individual, is effectively equal to the product of the strength of each factor H = O x E x I. SM observes that when all three factors are brought back to ideal levels, patients' conditions begin the recovery to normal health.

Journal Article↗

[Form of the psyche. Psychoanalysis and recent systems theory].

Modern systems theory is not concerned with objects but with the form of processes and structures. It is thus equipped to provide a unified theoretical framework for those varieties of phenomena that psychoanalysis has to deal with. The author discusses recent systems theory models and demonstrates the critique of epistemology that they by their nature imply. These models proceed from the process of observation and show that in the interaction between observers--say, analyst and analysand--observing each other observe, observation may either change or stabilise what is being observed. This is not without consequence for the way psychoanalysis envisions its own identity. Psychoanalysis can no longer naively apply "knowledge" in the traditional sense but must always be aware of the self-reflective nature of that knowledge. Its "application" is thus invariably a form of social intervention.

Humans↗

[Development of delusion in view of Luhmann's systems theory].

The systems theory of Niklas Luhmann declares itself as a universal theory and therefore claims applicability to any social and psychic phenomenon.In spite of its high complexity, to many it seems too vague and nonspecific. The possible usefulness of this theory should be demonstrated on the example of the development of delusion, still a mysterious and unexplained phenomenon. Within the framework of Luhmann's systems theory, delusion can be considered a communication disorder and therefore a phenomenon within the social system. Both the autopoietic systems society and psyche are based on and processed by meaning but cannot communicate directly, and they are mutually nontransparent and unpredictable. Due to this fact, the interface between the two systems is a potential source of disturbances. Luhmann defines the distinction of information, message, and understanding as the crucial element to connect the social system with the psychic one. If the psychic system fails to recognize the message of an information correctly or is unable to negotiate between understanding and misunderstanding messages, it detaches itself from the social system to which it is normally closely connected. This detachment releases the possibility of unhindered autistic fulfillment of desires and uncontrolled fear. Due to the meaning-based autopoiesis of the psychic system,these released thoughts and emotions still appear in meaningfully condensed form as delusions.

Autistic Disorder↗

An efficient method for calculation of dynamic logarithmic gains in biochemical systems theory.

Biochemical systems theory (BST) characterizes a given biochemical system based on the logarithmic gains, rate-constant sensitivities and kinetic-order sensitivities defined at a steady state. This paper describes an efficient method for calculation of the time courses of logarithmic gains, i.e. dynamic logarithmic gains L(Xi, Xj; t), which expresses the percentage change in the value of a dependent variable Xi at a time t in response to an infinitesimal percentage change in the value of an independent variable Xj at t=0. In this method, one first recasts the ordinary differential equations for the dependent variables into an exact canonical nonlinear representation (GMA system) through appropriate transformations of variables. Owing to the structured mathematical form of this representation, the recast system can be fully described by a set of numeric parameters, and the differential equations for the dynamic logarithmic gains can be set up automatically without resource to computer algebra. A simple general-purpose computer program can thus be written that requires only the relevant numeric parameters as input to calculate the time courses of the variables and of the dynamic logarithmic gains for both concentrations and fluxes. Unlike other methods, the proposed method does not require to derive any expression for the partial differentiation of flux expressions with respect to each independent variable. The proposed method has been applied to two kinds of reaction models to elucidate its usefulness.

Animals↗

The systemic theory of living systems and relevance to CAM: the theory (Part III).

Western medical science lacks a solid philosophical and theoretical approach to disease cognition and therapeutics. My first two articles provided a framework for a humane medicine based on Modern Biophysics. Its precepts encompass modern therapeutics and CAM. Modern Biophysics and its concepts are presently missing in medicine, whether orthodox or CAM, albeit they probably provide the long sought explanation that bridges the abyss between East and West. Key points that differentiate Systemic from other systems' approaches are 'Intelligence', 'Energy' and the objective 'to survive'. The General System Theory (GST) took a forward step by proposing a departure from the mechanistic biological concept-of analyzing parts and processes in isolation-and brought us towards an organismic model. GST examines the system's components and results of their interaction. However, GST still does not go far enough. GST assumes 'Self-Organization' as a spontaneous phenomenon, ignoring a causative entity or central controller to all systems: Intelligence. It also neglects 'Survive' as the directional motivation common to any living system, and scarcely assigns 'Energy' its true inherent value. These three parameters, Intelligence, Energy and Survive, are vital variables to be considered, in our human quest, if we are to achieve a unified theory of life.

Journal Article↗

The Systemic Theory of Living Systems. Part IV: Systemic Medicine--The Praxis.

This fourth lecture illustrates the praxis and results of Systemic Medicine (SM) in various therapeutic applications. SM's success has made it popular throughout Venezuela and Puerto Rico. The treatment of over 300,000 patients by 150 orthodox MD's, trained and qualified in SM, in 35 medical establishments with above average results corroborate its effectiveness as an eCAM in chronic degenerative diseases. Herein we provide a synopsis of results obtained in four such pathologies-the journal's necessary space restrictions somewhat limiting content-as well as clinical and photographic evidence. The validity of any medical theory is substantiated by its degree of effectivity and success. The workability of evidence-based SM corroborates Systemic Theory's transcendence.

Journal Article↗

The Systemic Theory of Living Systems and Relevance to CAM: The Theory (Part II).

This theory stems from observing the universe's 'omniscient' nature, manifested in flows of energy and information of its life plethora. A notorious example is the living cell's intelligent nature, which guides its basic goal: to maximize survival. This last motivated me to address the living system's intelligence, which constitutes a vital and controversial topic, its relationship with 'incurable' disease in general, including cancer, and to propose golden rules for therapeutics, as well as a definition of ideal medicine. The scientific confirmation of these findings is embedded in discoveries in cybernetics, biological theory of information and modern thermodynamic concepts, concerning energy and information exchange, within a living system. This approach's practical application, denominated Systemic Medicine, has been substantiated by treatment and results obtained in >300 000 patients suffering from chronic degenerative diseases.

Journal Article↗

Network thermodynamics and complexity: a transition to relational systems theory.

Most systems of interest in today's world are highly structured and highly interactive. They cannot be reduced to simple components without losing a great deal of their system identity. Network thermodynamics is a marriage of classical and non-equilibrium thermodynamics along with network theory and kinetics to provide a practical framework for handling these systems. The ultimate result of any network thermodynamic model is still a set of state vector equations. But these equations are built in a new informative way so that information about the organization of the system is identifiable in the structure of the equations. The domain of network thermodynamics is all of physical systems theory. By using the powerful circuit simulator, the Simulation Program with Integrated Circuit Emphasis (SPICE), as a general systems simulator, any highly non-linear stiff system can be simulated. Furthermore, the theoretical findings of network thermodynamics are important new contributions. The contribution of a metric structure to thermodynamics compliments and goes beyond other recent work in this area. The application of topological reasoning through Tellegen's theorem shows that a mathematical structure exists into which all physical systems can be represented canonically. The old results in non-equilibrium thermodynamics due to Onsager can be reinterpreted and extended using these new, more holistic concepts about systems. Some examples are given. These are but a few of the many applications of network thermodynamics that have been proven to extend our capacity for handling the highly interactive, non-linear systems that populate both biology and chemistry. The presentation is carried out in the context of the recent growth of the field of complexity science. In particular, the context used for this discussion derives from the work of the mathematical biologist, Robert Rosen.

Biological Transport↗