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Can the Measurements of Albumin and Glucose Be Correlated Each Other? A Physics-Based Theory
(Springer, 2022-01-01)
As it is well known, the confirmation of albuminuria in diabetic patients requires of a test entirely different to blood-based tests. However, from the idea that the glucose dipoles can cancel the negative charges along ...
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Hybrid 2D Theory of Outdoor Infections in Times of Global Pandemic
(Springer, 2022-01-01)
This paper targets to study the concrete scenario of aerosols transporting virus fact that is seen as a potential cause of massive infections in open spaces through the usage of a two dimension theory. For this end, the ...
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Surveillance of Anomalous Displacements in Large Buildings Through the Internet of Things: What Can Teach us the Surfside-Miami Events?
(Springer, 2022-01-01)
The recent incidents at Surfside, Miami FL, can be seen as an inherent manifestation of modern structures whose risk were not anticipated in all, so that the periodical assessment of ground layers of particularly very large ...
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Machine Learning to Assess Urbanistic Development in the South Pole of Lima City
(Springer, 2022-01-01)
We employ Machine Learning through the Mitchell’s criteria to carry out an assessment on the potential spatial configurations at the south pole of Lima city, at Perú. Based at both qualitative and quantitative facts, an ...
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Modeling the Electrodynamics of Cellular Uptake of Nanoparticles at Drug Delivery Strategies
(IEEE Computer Society, 2022)
Based at the proposal of Hauert-Berman-Nagpal-Bhatia Model, this paper has developed a physics-based theory that encompasses with this model in order to study the problem of expelling of delivered nanoparticles. The derived ...
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Machine Learning of a Pair of Charged Electrically Particles Inside a Closed Volume: Electrical Oscillations as Memory and Learning of System
(Springer Link, 2022)
In this paper the problem of two charged particles inside a frustum is faced through the principles of Machine Learning compacted by the criteria of Tom Mitchell. In essence, the relevant equations from the classical ...
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The Criteria of Mitchell to Interpret Classical Radiation as Compton Scattering
(IEEE, 2022)
The principles of Machine Learning through the criteria of Mitchell are used to validate a concrete quantum-mechanics interpretation from a classical radiation scheme inside the framework of linear and nonlinear Compton ...
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Computational Reconstruction of Dirac- Delta Function from Quantum Electrodynamics Rules
(IEEE, 2022)
It is reconstructed the Dirac-Delta function exhibiting an interesting texture when the function is parametrized. For this end the well-known quantum electrodynamics rules are employed. Thus when the energy conservation ...
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Corona Virus and Entropy of Shannon at the Cardiac Cycle: A Mathematical Model
(Springer Link, 2022)
Along the weeks of symptoms due Corona Virus Disease 2019 (Covid-19 in short), patients are exhibiting an inverse relation between Oxygen saturation and beats per minute. Thus, the scenarios of the highest cardiac pulse ...
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The Machine Learning Principles Based at the Quantum Mechanics Postulates
(Springer Link, 2022)
Quantum mechanics is governed by well-defined postulates by the which one can go through either theory or experimental studies in order to perform measurements of microscopic dynamics of elementary particles, atoms and ...
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