Physiology is a high-level expression of biochemistry, and it is the intrinsic of a new level formed by the intrinses of various levels. Pen, fun, pavilion www. biquge。 info

Physiology and disease are mutually exclusive, disease is an excited state of the expression of the physiological network, its order decreases, we need to complement each other at a certain level (it is also the overall treatment, a certain measure is that the collapsed intrinsic can be diffused into the network) in order to restore the cycle (dynamic equilibrium at each level, quantity, energy ratio)

Action potentials are localized sublayers that are the result of a series of protein changes and initiated ion flows. It's also periodic

Information transmission relies on cyclic coupling, electrical and chemical signals. The coupling of multiple signal transduction pathways (membrane receptors, G proteins, second messengers, etc.), their location, action sites, mechanisms, and other properties are different intrinses of the matrix.

The formation of the nervous system is an expression of the probability network, which is a mechanism that can grow: the type, number, and order of cells in the brain lead to the formation of a two-dimensional motif structure and then lead to the formation of a three-dimensional spatial structure, which has a power-law distribution. The peripheral nervous system couples the motor system with the sensory system, which enables the body to make periodic coordinated movements, such as interaction inhibition, feedback regulation, and so on

The multi-level coupling of the system, the integral nature of which is the exchange with the outside world, such as the exchange of oxygen and CO2 in the lungs (respiratory system), the intake and excretion of nutrients in the stomach and small intestine (digestive system), and the selective filtration of blood by the kidneys (urinary system).

The mechanical movement of the lungs, the changes in the concentration of O2 and CO2 that they induce can trigger changes at other levels, such as neural changes triggered by receptors, which in turn affect the movement of the lungs, and this feedback regulation is the matrix, or the movement of the network, which is actually the convergence radius of the sublayers of the network, the layers of layers of layers...... It cannot be carried out infinitely (in fact, it can, but the probability is too small, like the Taylor series, we take the first two orders to simulate), and the matrix network it forms has a certain eigenvalue

The momentum is derived from the potential difference, and the generation of resistance is dynamic, i.e., resistant to change. This is a hierarchical coupling structure, and the dynamic probabilistic connections allow for the generation of larger layers: atmospheric pressure causes the lungs to expand, and the elastic tissue retraction and alveolar surface tension cause the pleura to retract, which is a combination of interacting forces

The normal breathing of the lungs is a certain expression, i.e. there is still a certain potential

A certain reflex is persistent, which is the intrinsic expression of the network

Hierarchical separation of coupled systems is a behavior that regulates probabilities, such as muscle deficiency of glucose-6-phosphatase that makes it impossible to replenish blood glucose, which is a selective expression that forms society

Meta-analysis, meta-analysis, synthesis of materials, and integration of existing experimental results into a larger network framework. This is similar to finding eigens (which are then combined to form a network), and coupling with distribution functions. Correlation = probability, the connection becomes a network, the emergence of patterns of connections. Looking for the uniformity of the data, the depth of the hierarchy: mean-mean-variance-correlation, which can be decomposed like Fourier analysis

Determine the criteria and analyze the magnitude of the correlation

The collapse of the network

Relatively independent levels of the system: intermolecular interactions (formation of internal circulation), hierarchical derivation of molecules (ion pump or channel-driven ion changes and periodic effects, from single cells to the whole heartbeat), intercellular interactions (information transmission, nutrient transport), the formation of a relatively independent vascular neuroendocrine system, coupled to the systemic vascular network (the lungs exchange gases, the heart secretes some hormones), the pathological situation is the selective expression of the network, and we want to prevent the changes that lead to the disruption of the balance of distribution (based on high-dimensional hierarchical circulation)

The valves of the blood vessels provide selective orientation, which is a prerequisite for the formation of the network, and the formation of the cycle cannot be ambiguous at the quantum level, it must be very precise, and the existence of coupling can only be seen if it is integrated at a larger level. It's all probabilistic

The buffering effect of the pipeline, from the aorta to the large artery to the middle artery to the arteriole to the capillary, the nature of the smooth change, the performance of transportation decreases, the performance of exchange increases, and at the same time, it is coupled to the nervous system, so that a certain pattern of changes can be produced, such as sympathetic activation is splanchnic vasoconstriction, muscle vasodilation, conducive to movement. These large levels can be decomposed into small levels, such as the activation or inhibition of receptors such as ethylcholine, and the resulting network structure is finally selectively expressed into certain effects

Control is a certain pattern of network expression, such as positive and negative feedback, and pre-feedback is a low-level description, which can also be used as an eigento describe a high-dimensional structure. The network is a high-dimensional matrix (highly dynamic), and the exploration of specific patterns allows us to build a skeleton and then selectively express it. According to the law of large numbers, the movement of big data must have its intrinsic cycle, that is, the cycle, we have partially grasped the macro cycle, and now it is time for the micro level: different granularity is regarded as a level, which can be coupled with other levels, and there is a flow of information between levels, which is a network intrinsic after selection. There is communication between modules, but there is a certain priority division of information (neuro-hormone-secretory factors), modularly forming a network structure, and then coupling, and the communication between levels is allowed, which builds a library of greater possibilities, and then screening and selective expression is a dynamic network. Self-coupling, convergence radius. Like the properties of gases

One of the characteristics of the network is the sequence expression of the cell's coupled channel proteins, and each level always has its intrinsic expression, that is, periodic changes

The ECG is the result of the overall hierarchical coupling, and the understanding of the eigenwave allows us to build a general framework, which then needs to be decomposed into meaningful waveforms, which require Fourier analysis

The robustness of the network may allow some degree of weakening to enhance the overall survival rate. We need to think of the network, find the intrinsic (central node), supplemented by a certain diffusion (supplementary node), so that the resistance change is resisted, so as to restore the cycle

Different particle sizes: ion pump, receptor, smooth muscle, nerve, secretion

Anatomical structure is intrinsic, and it is also individual-specific.

Basic effects: adrenergic and cholinergic effects (opposite macroscopic effects, but internally coupled), receptors at different locations are expressed differently, the same hormone expresses different effects, and its distribution is network-structured. Specific receptors are responsible for specific responses (A, arteriolar tone, B, contractility, and heart rate)

Adrenergic and cholinergic effects and distributions are able to form networks that can form certain patterns. Its upper layers, nerves can likewise form unique patterns: reciprocal inhibition, feedback inhibition, presynaptic inhibition, linkage of reflexes, coordination and antagonistic effects, formation of reflexes (various circuits, such as γ-loops), regionalized integration

The contractile-diastolic cycle of myocytes, the intrinsic nature of the various levels. There are also large-scale combinations of cells that do not have a distinct cycle that can form different levels of cycles

Circulatory abnormalities are the cause of the appearance of pathological conditions

The circulation of the sublayer is an important pathway for exchange (pulmonary circulation) and maintenance (coronary circulation), which can be integrated into the larger systemic circulation

The effect of the dilator of the blood vessels of の gas is an intrinsic of the network, which is the transmission of local information. Sublingual administration of nitroglycerin is a rapidly altering network channel that can subsequently be repaired by the network for other side effects

The opening and closing of channels are quantum and can behave as continuous changes in a large number of combinations

Voltage is a macroscopic property, a multi-level network of channel proteins that activate and inhibit (the coupling of opposite systems), and is based on the regulation of a certain structure (probability of change)

The steady state of the network, through the exchange of various levels, forms an overall balance. The formation of the cycle of the mechanism is inevitably accompanied by the mechanism of regulation. Autoregulation is a homeostasis within the hierarchy, and neuro-humoral is a larger level of coupling (velocity, distribution range, object of action, duration), and different environments can have different selective expressions

There are various forms of material transport: the transport channel of the pure diffusion active transport carrier transports the cells out and into the cells, and there are energy changes based on a certain electrical gradient (potential difference) and chemical gradient (concentration difference).

The conduction of excitement is the foundation, and its overall intrinsic is a certain behavior. There is a coupling of inhibition effects, and different effects of different parts of the network form pathways. There are hierarchies between pathways, with siblings and advanced levels of control (feedback),

The concentration difference, which is maintained in a dynamic equilibrium, makes it sensitive to changes (mechanical, chemical) stimuli. Sodium and potassium ions are in constant motion—potential (accompanying effects) changes (resistance changes)—triggering new changes, sodium channel openings—and large influxes of sodium ions. These changes are similar to the macroscopic level of electromagnetic forces

A new equilibrium is constantly being formed

When the negative potential in the membrane decreases to the threshold potential→ all the Na+ channels are opened→ and the Na+ along the concentration gradient instantly flows in large quantities→, the positive charge in the cell increases→ the negative potential in the membrane decreases to disappear, and then the positive potential in the membrane increases→ and the positive potential in the membrane increases enough to resist the NA+ influx caused by the concentration difference→ the transmembrane ions move and the potential on both sides of the membrane reaches a new equilibrium point, forming the rising branch of the front potential

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