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Quantum Biology

Quantum Biology

Quantum biology has been shown in both theory and experiments to hold the key to many recorded biological phenomena. Quantum biology deals with all interactions at the sub-cells level including many logic-defying functions of the smallest particles that we know of.

Quantum mechanics is the route to understanding the behaviors of subatomic particles and their interactions. Biological units are nothing more than different configurations of subatomic particles working dynamically together to serve their survival and procreations.

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They are composed of molecular computational systems interacting with received information then decoding and generating responses. For this reason it would be natural to expect that quantum physics plays key roles in biology.

Scientists are rapidly finding new cases of quantum phenomena acting in many different biological processes. These include instances of: Quantum superposition in photons during photosynthesis, and quantum tunneling in electrons within enzymes acting as catalysts for reactions, between organic compounds.

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With all these cases where quantum mechanics play significant roles in biological functions, the question of how could this affect our own DNA now comes up, which is an emerging field that scientists all over the world are starting to pick apart

Living entities are composed of atoms and molecules with specific structures that convert them to specialized biological cells acting as bio-constructors. Living cells continuously acquire and use energy to power their quantum mechanical activities. These dynamical processes differentiate them from ordinary matter.

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In doing so,the cells become specialized computational machines with specific capabilities to receive,process and respond to bits of information in accordance with instructions stored within their governing DNA and in their stored memories.

There is a weird phenomenon observed in biology.The DNA issues instructions for the cells’ mechanical parts to be carried out.The RNA acts as the information carriers, i.e.the messenger, which passes the instructions to the mechanical part of the cell. Prior to delivering the information for action, the information is verified by an agent known as the RNAi.

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If the information has been corrupted then the instructions are ignored and not carried out by the cells. Biologists can’t explain how the verification process works. In other words how would the RNAi know what the correct issued instructions by the DNA should be? This process is similar to a well designed and secure software where information is checked for possible corruption or viruses prior to accepting it. We postulate that the RNAi verification process looks for the presence of certain symmetry code unique to the specific living entity prior to implementation.

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The absence of such code would indicate that the carried message has been corrupted, hence permission is not given to proceed with implementing the instruction. For example if that DNA instruction is to produce the protein for giving a skin cell its colour and the instruction was ignored then that skin cell will be colourless.

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Consciousness

Consciousness can be defined as an interactive information decoder interpreting the received superpositioned digital information to reflect the reality we experience. Our biological computational neural system compares the received new information with that already stored in our brains, which forms our memories and value systems. Therefore, our response to the received information is the result of a process of evaluation aimed at complying with the overall stored priorities. Most biological entities prevailing priorities are to survive and procreate to ensure the survival of the genes.

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The stored information templates for evaluating the received information and issuing instructions are either genetically hard coded as in most animals, or acquired throughout life long contacts and experiences or a combination both. All routes lead to specific neural connections which shape the wiring of the neural systems. In the case of human beings, each change in the wiring of our brain leads to a change in our stored information templates, which are key to determining our reactions to new received information. The process of updating the wiring of our brains is determined by being open

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Neuroplasticity

minded and reflective.They are key to learning, improving the quality of lives and long term survival of our genes.

Neuroplasticity is the ability of the brains’ quantum constructors to rearrange the bonding between the composing atoms and molecules,i.e.updating the wiring of our brains.This leads to creating different interpretations and responses to the received information. Electromagnetism is key to the process involving the working of the brains.The brain consumes on average 25%of the energy we consume to create the required electrical signals for communication between its different cells.

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It is well established that our responses to stimuli is determined by the stored information in our brains.

Our free will as human beings is limited to our abilities to evaluate the consequences of our actions and then adjust the wiring of our brain (our stored information templates) for better future responses, which are compatible with our core objectives. Those who are blessed with greater abilities to learn and adjust the wiring of their brains will have a better chance to survive, procreate and experience joyous living.

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The brain has its own building mechanism to update the received information so that they are compatible with formats which can be handled by its computational capabilities.

Experiments in visual psychology have revealed that the brain will often construct sensations that override the visual input if the brain judges that the latter is too improbable. The brain would suppress the improbable mixed information in favour of what it is familiar with and thus compute what is more probable. For example during rapid movement of the eyes, the visual information is suppressed and what we see is largely

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virtual reality created by the brain from our relevant memory templates.

When we look into a mirror and move our eyes left to right, we cannot observe our own eyes movements. This demonstrates the phenomenon of suppressing the rapid eyes movements,i.e.our visual sensitivity is much reduced.Eye movements are closely linked to attention shifts.

Thus what we see does not depend entirely on what is out there but also to a considerable extent on what the brain computes to be most probably out there. So we can ask how extensive is this filling-in process,what is its normal function and how is it done?

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Some light on these questions may come from digital television compression technology.

This seeks to send the maximum possible signal with the minimum computational power compatible with an adequate picture. Sending every detail of every scene over the TV system is efficient but carries a high computational cost. This is called the I programme. So TV engineers have supplemented this with a second programme, P, that derives the most probable scenes following scene ‘A’ based on the system’s memory and its previous experience of such scene sequences.

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This is supplemented by a third (‘P frame’) programme that records only differences between scenes. The P programme is inefficient but cheap in computational cost. So the art is in finding the optimum mixture of I and P.

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DNA as pre-assembled instruction codes

The DNA of all biological units are composed of four letters. Each letter represents a given combination of biochemical molecules. The molecules in turn are composed of specific atoms’ arrangements. Therefore, each letter of the DNA represents a pre-assembled digital code composed of strings and singularities.

The way the DNA four letters are sequenced determine the nature and characteristics of the biological units. The role of information in managing the existence of life is clear from the way the DNA is structured as sets of digital instructions.

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Embedded deep learning logarithms

Adjusting the sequencing of the four letters is already being harnessed through the revolutionary technique of Gene Editing.

We speculate that the evolutionary processes and the survival for the fittest principle are not random but they follow embedded biological deep learning algorithms within the genetic codes of each living entity. The specific genetic codes could have evolved (or designed) to simply monitor the levels and frequencies of using specific tissues within any living entity during its lifespans. This is in line with the key biological principle, “use it or lose it”.In a simplified

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version, it is similar to how google makes predictions based on your previous searches.

The stored statistical information by the biological entities are collected and passed, most likely through the Y chromosome, to future generations. The purpose is. to emphasize the importance of the increasingly used specific tissues. After a few generations the genetic code of that biological entity get adapted to improve its fitness capabilities.

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This could be seen as a very advanced build-in type of biological deep learning, similar to our attempts to create a digital based artificial intelligence with the capacity to update the survival of the model by meeting the overall objective for which it is created. Evolution of new species can be seen as similar to a computer game where the players cannot move to higher levels unless they collect certain points.

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Biological entities’ fitness capabilities

The only reality we know is the one our brains manufacture from the very limited information it is designed to receive and process. The possibility that reality is as we perceive is almost zero. What we experience is a convenient way to keep us in the cosmic game by receiving, processing, interpreting and transmitting the limited information we are designed to process and generate. A build-in program exists within all living beings, where repeated life supporting actions over a few generations lead to permanent genetic fitness improvement to thrive and dominate.

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Different biological entities possess/develop different fitness improvements capabilities. Using these capabilities lead to their continuous evolution. For those species where environmental changes are faster than their fitness’ improvements capabilities, will ultimately lose the battle to survive. For this reason we need to wake up to the danger of destroying the environment at the current speed, which is leading to the extinction of many species, as they have no time to adapt. Our rapidly changing lifestyle, including congregating in densely populated communities, our intensive farming,

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widespread use of new chemicals and indiscriminate use of antibiotics in our food chain are all giving bacteria and viruses greater opportunities to evolve and threaten our very survival and also survival of many animals and plants.Humans are proceeding at a great speed to improve the biofitness capabilities of many biological entities which meet their needs by changing their genetic information.This is in effect a means of overriding the naturally embedded logarithmic processes in those entities andreplacing them by direct human actions to create the types of animals and plantstomeetourneeds.

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Interactive biological quantum computational capabilities

All living beings are interactive participants in an energy-mass-information equivalence based universe. They represent specific types of information processing entities with causal powers determined by their fitness capabilities (encoded in theur genetic).With our causal powers we can reasonably suggest that our biological software has evolved to receive compressed (superpositioned)information and then analyze it by our network quantum computational units (our brain cells).Our perceived physical reality is a construct of the electrical signals being processed within our network of quantum com

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Being players endowed with computational capabilities suggests that we may ultimately understand how the universe works at the fundamental level and advance our knowledge so that we can communicate with other alien participants. This is similar to developing a deep learning artificial intelligence (AI), which is designed to have consciousness, communicate with other machines and ultimately contribute to our total knowledge. As stated above, consciousness is the ability to receive information, compare it with our stored information templates or set of instructions, and then create a response in

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Next stage in human evolution

It is even conceivable to conclude that we would reach a stage in our knowledge to ultimately speed up our evolution from our current fragile biological form to ultimately become a machine based species with more chances of survival as our environment greatly deteriorate.

Until we succeed in guaranteeing the correct transformation we need to protect our biological existence from the potential domination and abuse by our created AI based units.

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This may necessitate that we implant in the AI machines specific logarithms dealing with ethical values plus sufficient checks and balances to achieve these objectives. We may also resort to planting a self destruct mechanism, not accessible by our created AI units, to ensure our ultimate survival. Probably the best we can hope for in the long run is that our created AI will provide us with a heaven on Earth in return for providing some assistance in their scientific research endeavours.

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IDEAS CURATED BY

vedarham

 卐 || एकं सत विप्रा बहुधा वदन्ति || Enthusiast || Collection Of Some Best Reads || Decentralizing...

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