Huge volumes of data might to be containing hidden events that might to be associated to new laws or fundamental principles. If data follows polynomials forms then it can be related to abstract operations belonging to a concrete commutator of a pair of operators exhibiting a well-defined algebra. In this paper, a kind of algebra defined by a set of operators and eigenvalue equations, is proposed. It is hypothesized that resultant eigenvalues might to be correlated to data behavior. In order to illustrate the proposed formalism, the cases of pandemics and global inflation, whose data behavior might to some extent be dictated by algebra rules, are presented. Despite algebra seems to be composed by nonlinear elements these would explain apparition of morphologies in data, such as peaks in time, displacement as well as periodicity of them along the time where dara was acquired. Comparisons between model and real data are presented and discussed.

It is well-known the abundance of Glutamate in brain, that plays the role as neurotransmitter and it is essential for the learning and memory. Because this neurotransmitters have a negative electric charge, then them can be affected by external electromagnetic fields. When neural synapse acquires anomalous behavior, the one can anticipate that electrodynamics might restore the correct synapse action. Therefore one can expect that advanced chips such as Neuralink turned out to be marketable, then various technological opportunities would emerge. In this manner, as an alternative to the Internet of Bio-nano Things (IBNT), a novel Internet of NanoMedicine Things (INMT) based at implanted chips might be an interesting medical methodology that aims to detain the progress of neurodegenerative disorders. Thus, one might to expect fast improvement in comparison to pharmacological schemes that might to add toxicity to patients. In this paper, from the fact that neurotransmiters carry electric charge, then it is presented a physics-based model that would sustain the INMT.

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 between the kirchhoff’s voltage law and the Fokker-Planck equation is assumed, then the synapse would acquire an electric interpretation as a bioelectric device composed by two capacitors and a single resistor. It is actually in a fully agreement to the process of synapse. Thus, while neurotransmitters inside the synaptic vesicles are together, them can behave as an electric capacitor. Indeed, after the releasing of neurotransmitters most of them can form bunching at the zone of cleft. Thus, the stopped neurotransmitters at the cleft would collapse the neural synapse. Hypothetically, this would origin neurodegenerative diseases such as dementia, Alzheimer, etc. In this manner, under the assumption that neurotransmitters can transport a surface charge density, then the presence of electric and magnetic fields provided by an external source might to change their inherent electrical processes. Some scenarios are proposed.

From a sample of 1K type-2 diabetes cases, using Monte Carlo simulation and real data, we have estimated that a 2.5% might be potential candidates in being in the highest levels of progress of type-2 diabetes as manifested in nephropathy or necrosis, In addition, a 1 % of the sample might be highly sensitive to cardiovascular attack. The pattern of the sample is characterized by having low incomes per month, poor education to improve lifestyle, as well as the lack of contact with health specialist, among others. The results of this simulation might serve to reconfigure ongoing schemes of public health aiming to reduce diabetes complications and extend minimally the lifetime of those type-2 diabetes patients belonging to vulnerable groups.