We use the scheme of the BB84 protocol to estimate the Bit Error Rate (BER) between two satellites under the action of exchanging wireless communication inside the framework of the Internet of Space Things. The usage of the Bessel basis yields oscillations of BER curves.

At first phases of renal damage, kidney would allow to pass giant proteins such as albumin whose size is of order of nm., surpassing the glomerular zone and therefore going to the Bowman's space. In this manner at the glomerular area proteins can form charge density that would give origin to spontaneous currents. In this paper equations corresponding to the Kirchhoff equation are derived. The usage of classical electrodynamics and the diffusion equation allows to derive the voltage as function of permittivity. This can be seen as an efficient biomarker. Therefore advanced technologies with capabilities for measuring micro and nano voltages in prospective implanted devices might to play a crucial role to anticipate the renal damage.

The abundance of dipoles of glucose in the blood stream would give rise to a pushing out of albumin proteins giving origin to the formation of a biolelectric circuit inside renal glomerulus. In the periods of large amounts of glucose and albumin in blood, kidneys might not be able to filter proteins initializing the interaction protein-protein at the renal glomerulus. From this nephrine and albumin interaction can be seen as a capacitor because the anionic and cationic functions of proteins. This paper have paid attention to the physics of renal glomerulus when it is electrically involved due to the presence of albumin that surpasses the different layers of renal glomeulus becoming a strong indicator of the kidney disease.

This paper presents a theoretical approach of a prospective scheme inside Nanomedicine known as Targeted Drug Delivery (TDD) based entirely on Classical Electrodynamics. Under the assumption that nanoparticles can be electrically charged because their ionic composition, any specific task for delivering a certain amount of biochemical compounds might to involve additional electrical interactions that would limit the efficiency of the action of delivery. In this manner, the apparition of repulsive electrical forces would be translated as the fail of the task. Therefore, nanoparticles would have to be engineered with a minimal response to electrical forces, so that one expects that nano cargo accomplishes its main role at Nanomedicine.

We derived their classical counterpart of Feynman's amplitudes for electron and photons interaction in the super-intense regime through the Hartemann-Kerman theory in conjunction to the Reiss-Eberly criterion of quantization. Our derivation is supported by the conjecture of Ritus-Nikishov by which field quantization might have its origin through artificial mechanism. In this manner, the classical counterpart might also provide an alternative path to arrive to pure Quantum Mechanics processes. Thus, in this paper we demonstrate that nonlinear Compton and the corresponding “pseudo” Feynman rules can also de extracted from a pure classical description. We present various spectra for simple and double Compton scattering that are in fully agreement with the existent Literature.

This paper present a model of software engineering to estimate the social distancing with realistic inputs. This might be incorporated in a smart-phone application in order to get an exact estimate of the values of social distancing in times of global pandemic. Attention is paid on the measurement of outdoor scenarios where wind velocity would play an important role to move the aerosols at distances beyond the known social distances. Thus, the dehydration time emerges also as a predictor of risk to get the infection of virus. The proposed software has capabilities to yield numeric values of risk in terms of probabilities. It is expected that once the associated computational program is running then the permanent assessment of potential scenarios would give concrete values of social distancing. In this manner one expects that these values are uploaded at an Internet network.

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 the renal glomerulus, the measurement of glucose in blood might be strongly related to the exit of albumin through the Bowman space. In this paper, a theoretical treatment based at electrical interactions focused on bunches of glucose in the renal glomerulus is presented. The purpose of this theoretical work is toward the exact estimation of the relation between glucose and albumin that allows to measure in only one test both glucose and albumin. A few scenarios by using computational simulation are presented. The results suggest the importance of the geometry of flux of albumin and glucose in the theoretical assumptions.

Bacteria can transport a well defined electric charge so that one can expect electrical interactions with different biochemical compounds in order to optimize their colonization in healthy hosts. This paper focuses on the different manifestations of Keller-Segel equation from its reduced formulation and that is used to derive equations in a territory of classical electrodynamics. Therefore it was derived charge density and ionic current assumed to be created by the time variations while bacteria is carrying out inherent actions of chemotaxis. In addition, the correspondent Green's equation is derived.

El documento a texto completo no se encuentra disponible en el Repositorio de la Universidad Autónoma del Perú debido a las restricciones de la casa editorial donde se encuentra publicada.

As seen in the event at Surfside, Miami FL, the permanent surveillance of tall buildings might to require the conjunction of the telecommunications technologies that in a side are offering accuracy in various levels of prediction, and on the other side are flexible to be operated to distance. In fact. in this paper, a novel Internet is proposed, it is called the Internet of Tall Buildings whose main purpose is to carry out in an unstoppable manner the precise measurement of small angular deviations. With this its is expected a kind of instantaneous radiography of spatial displacements of the vertexes of ceiling in a chain of tall buildings. Thus, whereas there is a sensing in one of them, then the wireless system will emit alerts and alarms at the cases that deviations beyond the allowed are registered.

The processes of angiogenesis have among their initial phases the processes such as the vascular endothelial growth (VEG) in order to guarantee the consistent sprouting and splitting of new blood vessels whose main purpose is the fueling of tumor. In this paper we develop a technique entirely based on Quantum Mechanics and Classical Electrodynamics to tackle down scenarios of anomalous growth of vessels. In conjunction to Classical Electrodynamics, we use Quantum Mechanics calculations to a more accurate prediction of the location and the subsequent detaining of anomalous growth of vessels that give rises to angiogenesis. For nanodevices whose size is of order of 10nm, the probability to identify a tube from VEG might be of order of 16%.

The role of evolution operator is to provide the time displacement of wave function through the Hamiltonian of the system. The usage of coordinates representation gives the well-known propagator that is the Green’s function. In this paper it is emphasized that once the propagator is projected onto a scenario of machine learning it would acquire the role of performance in according to the criteria of Tom Mitchell. In this manner from the resulting wave function the probability is simulated presenting noteworthy morphologies in the which the system displays high values of probability for the measurement of distances.

This paper focuses on the mathematical construction of a model that describes the statistical properties of a second wave of infections by Corona Virus Disease 2019 (Covid-19 in short) from the information of a first one. Basically this study is done having as grounds a topological model based at rectangles. Thus, perimeters and distances between rectangles might be encompassed to a real data through valid approximations. A full trapezoid model is also proposed. The two-rectangles model appears that fits well to the Philippines covid-19 data. It is seen that while both rectangles are pretty separated, the the peak of second wave turns out to be high. From this an exponential formulation is derived, and fits well the exponential morphology as seen in Covid-19 data France.

Once constellation of satellites are working in a collaborative manner, the security of their messages would have to be highly secure from all angles of scenarios by which the praxis of eavesdropping constitutes a constant thread for the instability of the different tasks and missions. In this paper we employ the Bennet-Brassard commonly known as the BB84 protocol in conjunction to the technique of Cognitive Radio applied to the Internet of Space Things to build a prospective technology to guarantee the communications among geocentric orbital satellites. The simulations have yielded that for a constellation of 5 satellites, the probability of successful of completion the communication might be of order of 75% ±5%.

Commonly the searching and identification of new particles, requires to reach highest efficiencies and purities as well. It demands to apply a chain of cuts that reject the background substantially. In most cases the processes to extract signal from the background is carried out by hand with some assistance of well designed and intelligent codes that save time and resources in high energy physics experiments. In this paper we present one application of the Mitchell’s criteria to extract efficiently beyond Standard Model signal events yielding an error of order of 1.22%. The usage of Machine Learning schemes appears to be advantageous when large volumes of data need to be scrutinized.

We use the Quantum Mechanics path integral to describe bacteria spatial dynamics inside a box that that is limited by constant electric potentials. While this potential can be materialized to some extent of being a physical representation of macro-phage cell the bacteria behavior is also driven by the Jackson's electric potential. In this manner, the resultant repulsive or attractive electric force might drive the spatial displacement of bacteria to accomplish the task of motility and chemotaxis. The path-integral language seen a stochastic tool appears as an interesting option to model bacteria and Antimicrobial peptides agents when both of them are in a random struggle in space-time. In addition its complementary to Electrodynamics support tits usage inside of the Microbiological territory. Our hybrid approach turns out to be precise with an error of order of 3%.

It is well-known that Nanomedicine will use all those available techniques of Nanotechnology to alleviate and surpass critic scenarios of diseases by the which current Medicine might be limited. In this paper, we explore possible scenarios of nano cargo delivering nanoparticles aimed to reach a cell or tissue. The theory of Quantum Mechanics to estimate the probabilities of releasing and arriving of nanoparticles to their target. The simulations have shown that electrical interactions is a noise that minimizes the central role of nanoparticles, and might cause the fail of an event of Targeting Drug Delivery (TDD in short), for example.

The management of a private Peruvian university along the period 2020-2021 is presented. Special attention has been paid on the qualitative angle in the sense that were described the main actions by which have had as central point the continuity of academic activities without the breaking of communications in the form top-down between the general manager and students. Essentially all actions have targeted to keep the quality of education in all the levels. The paper presents the general methodology that has consisted in the support of university to the universe of students in order that most of them continue in their program. Therefore, the management was not only the one applied to the university apparatus itself but also in to surpass the big obstacles such as the massive desertion of students in a critic epoch where Lima city has exhibited large peaks of infections as well as fataliti...

As it is well-known aerosol is an important vehicle to transport strain of virus and produce an chain of infection among humans. Thus outdoor aerosol in conjunction to the lack of face protection is a first cause of infection by convid-19 at the ongoing pandemic. In this paper, a theory developed from deterministic grounds that might to model the dynamics of aerosol previous to its dehydration is presented. For this end some realistic assumptions that associates a concrete scenario of wind velocity and the potential events that would be cause of public infection are emphasized. The central point of this analysis is the assumption that the path that aerosol would opt at outdoor spaces is of deterministic character. Some distributions are assumed that model the trajectory of aerosol. The present analysis is done under a macroscopic view that discards physics effects in details at the aeros...

As it is well-known, diabetic patients might to develop crisis in the renal apparatus either in the middle or long time [1]. This crisis is imminently attained to the high concentrations of glucose. In fact, under the theoretical assumption that the ions of glucose molecules push out giant molecules of albumin then one might to expect a direct dependence among them from classical electrodynamics basis. In this paper, this dependence and the physics-based relationships are derived. The theoretical result of this paper would be of interest in all those new applications of advanced sensors that might be able to measure status of both glucose and albuminuria. Thus, one can carry out a complete diagnostic of kidney status from glucose values. The paper presents theoretical predictions of glucose and albumin interactions while both of them are located along the renal glumerulus.