Medical diagnosis is to select a certain target to measure, so that its change is the same trend as the overall change, such as alanine aminotransferase (GPT), ALT can reveal the damage of liver organs. In this way, we can obtain certain meaningful information that will give us an advantage in the next game, i.e., therapy. This is based on the principle of fixed points (markers).

Blood gas analysis is a matrix analysis similar to a network, such as the clinical significance and measures of white blood cell count determination level, and certain judgments can be made according to the comparison with the reference value (4~10)×109/L. 11×109/L is leukocytosis, and a leukocyte differential count can help to analyze the cause and type and, if necessary, to find the source of infection. > 30×109/L suggests possible leukemia, and leukocyte differential, peripheral blood smear observation, and bone marrow examination should be performed.

Different ratios may be high-dimensional, such as the proportional distribution of different blood cells in the blood. Multi-level coupling may be able to derive high-dimensional quantities, such as the basis of clinical testing, hematology, clinical chemistry, clinical immunology, clinical etiology, and clinical genetic diseases (molecular biology). They all use different technologies to provide clinical basis for diagnosis and treatment.

The ratio of myosin, actin, and tropomyosin (troponin is a regulatory role) of muscle cells may be related to their ability to exercise. A matrix of different proportions is perhaps a better marker. The transfer matrix with the previous meaningful biomarkers as a matrix, the more meaningful it is, the greater the weight given, such as the cardiac marker: troponin content, the relative proportion of CK can detect patients with acute myocardial infarction, and can detect small injuries (miniinjury), such as unstable angina pectoris, myocarditis.

Consider the scoring matrix formed by the sequence of biological information today.

The game of sensitivity and cyclicality.

When circulating blood volume increases, overload can cause intracardiac natriuretic peptide release. These hormones are effective in diuresis, excretion of urinary sodium, smooth arterial vasculature, relaxation of muscles, and decrease circulating blood volume. Natriuretic peptide is also a natural antagonist of the sympathetic nervous system and the renin-angiotensin-aldosterone system (RAAS), and also reduces blood volume. The multi-level game of the network and the results of multiple logistic regression analysis of factors.

A specific set of symptoms can be represented as a certain combination. The window period is a change of great significance, which is the essence of the network, a kind of explosion.

The interaction of networks, recursive function theory, set theory, mathematical logic, lambda-calculus, Turing machine and other different aspects study the formalization of human logical thinking, and the construction of knowledge network is an attempt of artificial intelligence, which can carry out certain statistical analysis of knowledge. This kind of statistics is the basis of induction, which is a self-referential structure.

The automated logical reasoning of the expert system needs to be combined with the dynamic game and equilibrium achievement of mathematics, and the fractal structure. It's about the importance of interaction

The algorithm, the concept of convergence, corresponds to the average distance of the network

Set theory is used as the basis for mathematical analysis of networks. The operation of a Turing machine is one-dimensional and complete, and the coupling of multi-dimensional sequences may create infinite possibilities that can be filtered according to certain criteria.

Boolean circuits can be combined to form arbitrary Turing machines, the construction of equivalence relations. Topological invariants.

The existence of a network is a form of computation. The relationship between network diameter and network size N~logN

The Turing machine equivalence of the network, its interaction is a basic calculation, and there is no finite, mechanical step to determine whether the "Diophantine equation" has a solution, and this existential problem is the embodiment of the fixed point principle. Just like the cycle of signal peptides, a stable state is achieved, that is, the problem of downtime.

The limits of the computer, the transformation equivalence of set theory. Among them, the self-referential system is the boundary of our cognition, and its internal is known and known, that is, the equivalence relationship can be constructed through a series of mathematical transformations, that is, the internal thing topology is equivalent, and any level is a selective expression of other levels, which is Hilbert's formal ideal. And we try to use the boundary as the basis to find the unknown known, which is Gödel's theorem, the mathematical system that satisfies the compatibility is incomplete, which is the result of the hierarchical non-coupling of the high-dimensional structure. This kind of breaking is the need for hierarchical coupling, and it is a higher-level algorithm.

A Turing machine is a set of rules that can then be expressed in detail according to the specific environment, and are equivalent to other complex systems according to the basic level. We can construct different levels of mapping connections based on a certain 1/0 sequence. It is like the construction of the Gödel number. Because the network of infinite possibilities is a kind of traversal operation, in which meaningful patterns are bound to emerge at the statistical level at a large number of levels. These calculations are combined to form a computer

Relativity, the relative proportions of complex systems.

The multi-level coupling of logic, which is the fractal structure of set theory. The relationship between the levels is a matrix of competition, which can form a certain combination, that is, equilibrium. Moreover, the relationship between the levels is a structure of selective expression, i.e., a topological invariant. This is the key to solving the self-referential problem, at the level of the matrix, applying a certain sequence matching, which is related to the multi-level distribution of fuzzy mathematics. The key lies in the convergence of the network, i.e., the failure of the recursive principle. Multi-level coupling, i.e., infinite combinations that can derive meaningful patterns, i.e., can be computational.

Just like the probability connection of joints, the last one forms a certain distribution and pathway at the statistical level. Calculated as 1/0.

The self-replication of a probabilistic network based on a probabilistic language is based on a probabilistic system of low-probability operations, which is a coupling.

The law of large numbers, frequency = probability, with probability as logic. Independent relativity judgments about the relevance of networks.

Self-replication (spherical theorem?), a multi-level coupling that must refer to the central rule. Darwinian traversal and annealing

The relationship between different levels, the allometric growth rate, such as the relationship between mass and basal metabolic rate, which is the intrinsic nature of the network, is the application of the fixed point principle. Fractal

Contemporary mainstream molecular biology research is fused with evolutionary theory, and the combinatorial explosion and traversal and collapse annealing of network theory

The M theory of life sciences should include three parts, the first is Darwin's theory of natural selection, the second is Mendel's theory of heredity, and the third is the theory of the formation of complex structures that have not yet been solved.

Evolution is the emergence of patterns in the network, which is continuous at the bottom and discrete at the higher level. Complex organisms such as the eye are the result of gradual evolution, which is a description of higher dimensions and should be understood in terms of the units of action of lower dimensions. How did the evolution of Pax-6 determine the evolution of the eye?

Eyes are not as perfect as imagined, we have blind spots, we will be short-sighted, farsighted, astigmatism, presbyopia, glaucoma, cataracts, if it is the product of intelligent design, it should not be designed so sparsely. This is the equilibrium of a multi-level game, an adaptation to the environment, and this is perfection.

This kind of evolution can be based on the coupling of sequences as a mathematical model, and according to certain rules, like cellular automata, relatively definite patterns can emerge at the statistical level. Game Theory and Contradiction Theory.

The laws of motion of complex systems, the description of probability, and the emergent nature of statistics

System theory: hierarchical grading, similarity and selective expression between levels, different dimensions of the hierarchy can have different properties; the hierarchy is the convergence of the network; change is the adaptation to the environment, is the probabilistic behavior, there is a relatively certain behavior at the statistical level, that is, the mutation we observe; and then on this basis, there are different levels of game and equilibrium achievement, that is, natural selection. Multi-level coupling of information, i.e., meaningful recombination, the emergence of patterns.

The cycle and equilibrium of the ecosphere are the result of the equilibrium distribution of high-dimensional games.

Analyzing the couplings brought about by the structure is a way to solve Russell's paradox, which can make the foundation of set theory more solid.

Relativity can be understood in terms of competitive games.

Quantum probability, the introduction of imaginary numbers, is a description of the wider world.

Complex system construction: The agent-based model can accept the various distribution cases of the network, and can explain the complex evolution of the whole with the source dynamics of the atom in the low dimension. The combination of different levels of a particular period can form different patterns, which is low probability, but it is inevitable that it will occur, which is sometimes seriously out of the overall equilibrium. And this conforms to a power-law distribution.

The various options for taking interactions as more fundamental objects and then constructing complex systems are the emergence of statistical layers of these fundamental interactions.

Then the changes in the hierarchy are all probabilistic behaviors, which can be expressed in terms of Markov matrices, but at the statistical level there will be a clear difference.

The wave function can explain the overall system network and is equivalent to matrix mechanics.

The row matrix representation of the matrix is a decomposition of the series, ψ*ψ=1

Probabilistic operations for superposition states, P=|ψ|^2

Quantum mechanics has great inspiration for networks, such as quantum hypothesis, Bohr's state hypothesis, discretization of energy levels (1/n^2?1/m^2), uncertainty principle, wave-particle duality (selective expression of fractal structure, relative structure), path collapse of wave function (as a hypothesis similar to that of a network, i.e., describing all properties), correlation of probability (P=|ψ|^). 2. Giving the theory the possibility of transcending the theory, the possibility that the particle can pass through a potential greater than its own energy, which is a distribution of probabilities), traversal and annealing, the introduction of imaginary space (also a macroscopic description of causality, that is, the lower level of the universe is like Newton omitting the overall description of the higher-order minimum quantity as an imaginary number), the representation of differential equations (the expression of multi-level coupling), and so on. The equivalence of wave dynamics and matrix mechanics illustrates a higher level of unity.

Decomposition of Taylor series, formation of row/column matrices;

The matrix game and equilibrium of the pathway are achieved. The formation of networks of understanding at the statistical level is the basis of communication.

ln(λ”/λ)=ln(λ0/λ)+ln%/

1+ln(λ0/λ)ln%/ln2(Λ/λ)

The relationship of fractals is expressed in terms of the relationship of exponentials.

The coupling of multiple paths can provide a relatively certain A-B correlation

How can the coupling of two common objects distinguish their relative distances in a certain pathway?

Logic-based systems, i.e., complex systems that use basic logic units to form them

The evolutionary model of the network should be similar to that of the cerebral cortex, which is essentially a mathematical abstraction of the latter. A new level formed by different levels can only be formed if the magnitude of its combination exceeds a certain threshold, thus serving as the basis for the next evolutionary step.

A random combination of hierarchies will eventually collapse into a specific path connection, and then a certain boundary may be formed. This combination pattern is consistent with the information processing pattern.

Sequence similarity is linked to functional similarity.

Basic functional orientation is a natural differentiation, such as the functional column is the basic unit of computation of the cortex.

Pattern recognition of the network, which is an operation based on Bayesian inference