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Pan-Complementary Principle(PCP) :
The binary relations are the most fundamental or “bricks” for any other more complicated or higher-level relations, including movements, events, processes, …. PCP for a binary relation states that a binary relation is, in nature, based on so called complementary mechanism. That is to say, for both sides of a binary relation, on side is lack of or needs what the opposite sides exactly owns and is able to provide, and just this mechanism makes the binary relation carrying out.
The realization of a binary relation based on PCP is not only the mater of both sides and it makes the story of some new things starting(i.e. CBR), as mentioned elsewhere.
PCP is consistent with Yin-Yang doctrine in the ancient Chinese philosophy.
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The Creativity of Binary Relation (CBR)：
The creativity means something new occurs or appears as a result or a coexistent factor of an act. The creativity of binary relation (CBR) always accompanies the carrying out of a binary relation （or other relations）. In another word， the realization of a binary relation always starts a new story in the world which we are interested in. An example of CBR may be the attraction and combination of a positive magnetic pole and another negative magnetic pole with the same strengths make the magnetic field disappeared, liking doing a “physical calculation”, i.e. 1 + -1 = 0.
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Pan-Oscillation Principle(POP) :
POP states that any entities in the world, especially those in the living organisms, eternally involve all kinds of movements which takes some form of repetitiveness. The examples of the movements with repeated forms include the orbiting of an electron around the nucleus of an atom, which, as we know, is one of most universal moving in the nature, the wave-like curves of blood pressure or body temperature, the multiplications of cells or viruses, the rhythmic heart beat, tricarboxylic acid cycle, making copy and inheritance of genetic material between generations and generations, etc.
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High Organized System(HOS)：
As we known, the goal of a game for a football team is to score more goals for own team and prevent the opposite team from scoring goals as much as possibly. And usually eleven players constitute a football team, one is goalkeeper, other ten players play as forwards, midfielders or defenders. Thus a football team is an most simple organization with its goal and the composition.
A High Organized System(HOS) is much complicated system, which consists of many parts or members, say, hundreds of millions, with many goals or functions, say, tens of millions. The parts or members and functions closely cooperate with each other and are highly coordinated, usually being compacted in a very limited space. Human body and its parts are typical HOSs.
(to be continued)
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The Knowledge Explosion in Biomedicine (KEBM)–means the imbalance in biomedical fields between the massive knowledge products and the big challenges in the connections and applications of those existing knowledge. It does not mean we have too much information or knowledge in these fields, but means we have not enough efficient innovations for the organisations or expressions of those knowledge and information in formatted or engineering way, which are able to be red, understood, and computed by the computer applications to help people to deal with those massive information or knowledge on integration basis. Thus KEBM implies the imbalance between the bigger efforts in new knowledge producing and the relatively smaller efforts in connecting, understanding and using of those existing knowledge as whole.
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The Knowledge based-on Phenomenon (KP)–The knowledge gained by what people observed or measured in their scientific experiments or practical experiences. From the systems viewpoint, this kind of knowledge describes the relationships between the inputs and outputs of a system rather than the inner mechanisms of that system. In other words, it is somewhat “black-box” knowledge. Most of biomedical knowledge nowadays may be, more or less, classified into that sort of knowledge.
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The Engineering of Biomedical Knowledge（EBMK）–In the aspect of fully and effectively using the knowledge resources, Biomedcines are nowadays facing a challenge from the masssive or ever-growing and extremely-complex resources of biomedical information or knowledge discovered at the different levels ranged from nature environments and human societies, human individuals, inside human body (the systems, organs, tissues, cells, subcellular organelles,including cell membrane, endoplasmic reticulum, mitochondria, Golgi apparatus, cytoskeleton, etc）, large biological molecules, general molecules, various molecular complexes and networks, submolecules such as chemical bonds or radicals inculding free randicals, and all forms of orther biomedical objects e.g. physiological or pathological miroorganisms, for instances, bacteria and viruses, and the inner environments where all the above factors exist and function.
Engineering of Biomedical Knowledge（EBMK）arises at these historic situations. EBMK is fousing on the formatted expressions of biomedical knowledge (e.g.in the forms of biomedical ontologies) which is expected to be read, “understood”, processed or calculated by computer applications and the relative new cognitive sciences and philosophy of the systems biomedicines and engineering biomedcine, and the new methodology and its programs developments, .
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Systems BioMedicines（SBMs）– SBMs are taking all biomedical objects, such as societies, individuals, parts of individual, including body systems, organs, tissues, cells, subcellular organelles, biological large molecules, functional groups, atoms etc. as the generalized systems(GSs) surrounded by their own particular contexts depending on which those systems exist and function. Consequently the whole body is deemed the sophisticated organisation of the massive and diverse systems.
A main components of a GS include the input, output, border， and inside innate structures or mechanisms（ISMs）. If the ISMs of a system is unknown or ignored, then the system is called a “black-box” or “granule” in terms of cognition. A system may be called a “grey-box” or “white-box”, if ISMs of the system is partly known or paid attention to, respectively.
(to be continued)
