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Electrodynamics of Neurotransmitters and Kirchhoff’s Laws at Neural Synapse
(IEEE, 2023)
Since the neural synapse consists in the unstoppable pass of charged electrically neurotransmitters from a neuron to another, then it might be directly explained by the Kirchhoff laws. In this paper, the usage of these ...
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Classical Electrodynamics Formalism to Derive Quantum Mechanics Amplitude
(IEEE, 2023)
In some concrete examples such as the classical Compton backscattering, quantum mechanics phenomena can be also derived from rules given entirely inside the classical territory. In this paper the quantum mechanics amplitude ...
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Indirect Measurement of Shannon Entropy of Albumin Excretion Rate at the Renal Disease
(IEEE, 2023)
If the Albumin Excretion Rate (AER) might be measured through advanced techniques belonging to Internet of Bionano Things (IBNT) then it is also possible to measure the level of entropy. As known at the literature, it is ...
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Kirchhoff’s Voltage Law at Neural Synapse From Electric Currents Based at Neurotransmiters
(IEEE, 2023)
Because the neural complexity at brain and the demonstrated electric activity, this paper triggers the hypothesis that the neural synapse might be a tangible outcome of kirchhoff’s laws. Thus, when a direct association ...
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Usage of Machine Learning and Monte Carlo Method as Probabilistic Hybrid Tool to Predict Next Pandemic
(IEEE, 2023)
This paper explores the scenarios where the combination of algorithms based at Machine Learning with Monte Carlo method can be advantageous to assess the next pandemic. Thus, taking into account the experience of Covid-19, ...
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Inherent Biolectrical Circuits in Neural Synapse
(IEEE, 2023)
This paper proposes the idea that neural synapse is a pure electrical event. In order to derive this the well-known Fokker-Planck equation is employed. Basically the process of synapse is divided in three phases: (i) The ...
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Instantaneous Interactions Between Nanoparticles and Tumors Dictated by Bayes Theorem
(IEEE, 2023)
This paper focuses on the process of internalization for nanoparticles that have been sent as part of a scheme of targeted drug delivery. In this manner, it is applied in a straightforward manner the Bayes’s theorem since ...
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Probabilistic Classical Electrodynamics as Weibull Functions from Diffusion Equation
(IEEE, 2023)
The Weibull distributions have been identified at the case when the diffusion of charged particles inside a finite cylinder are under repulsion created by an external charge playing the role as actuator. This would trigger ...
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Can artificial intelligence do the job of a theoretical physicist?
(IEEE, 2023)
If Artificial Intelligence is powerful, then it would cover a wide spectrum of jobs that commonly is done by humans that might require a high level of abstraction and mathematical creation. In this paper, the possibility ...
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Quantization with Infinite Classical Fields: The Quantum/Classical Correspondence
(IEEE, 2023)
It is shown that quantization of an external field apart of being intrinsic in quantum field theories, it can be also done in a fully scenario of classical electrodynamics. In this paper the quantization of field is ...
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