Bio
Francesco Pia is a researcher.
Research
Reti Neurali e Sistemi Basati su Regole Utilizzati per Individuare Correlazioni Razionali e Scientifiche tra l’Essere Qui e Ora e le Condizioni dell’Aldilà
What you will read in the next pages is an anthology-worthy element and should be taken seriously. In this work, we attempt to describe a place that is unknown and therefore difficult to define, in the sense of arriving in an unknown place, which therefore will not be easy to describe. In the path that […]
Neural Networks and Rules-based Systems used to find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
What you will read in the next pages is an anthology-worthy element and should be taken seriously. In this work, we attempt to describe a place that is unknown and therefore difficult to define, in the sense of arriving in an unknown place, which therefore will not be easy to describe. In the path that […]
Neutron Concentrator, a Hypothetical Small Neutron Star based on the Emission of Neutrons in Minerals Such as Granite and Other Commonly Available Objects
The aim of this work is to verify the existence of neutron emission in some "circuits" mainly composed of common stones. The idea of this work finds its foundation in the moment in which it is possible to limit the scattering of any neutrons produced, once this is done, the neutron beam could be driven so that they are concentrated in a certain point. The generation of neutrons should obviously be channelled taking into consideration the scattering that is obtained in the minerals that make up these devices after they have been emitted and if a way to contain (a confined space) with an "adjustable" scattering could be found then it could be that the idea of generating a small neutron star could be a viable idea. The most extravagant aspect is the one linked to the compression or pressure force which can be obtained either directly by applying two plates which surround our granite or by a centrifugal force or by a radial acceleration which arises from the rotation of our granite. device; all this was born from a "very strange" idea to plug a black hole with an explosion because the uncontrolled generation of neutrons due to the compression should find its culmination in a very high rotation and a corresponding very high pressure, all this is crazy but is the basic idea that inspired this work. The generation of neutrons with a compressive effect on certain minerals is due to the much discussed so-called "piezonuclear" phenomenon and in any case it seems interesting combined with the Hopkinson circuit famous for its magnetic circuits and with another device; the similarity of the first arises from the idea of constructing a path that allows the circulation of neutrons in a circuit made up of mineral elements and not only but certainly of common materials in order to (as the title says) if one can observe the generation uncontrolled emission (at times) of neutrons which can trigger a particular response in a circuit similar to a Hopkinson equivalent circuit which we can call a "neutron circuit" where the path of N is to verify the existence of a possible maintenance of the emission of neutrons but to verify if this emission can be increased, controlled in a certain sense. Two methods will be presented, one "symmetrical" and one "radial" with radial production axial control with open control chain and the second with rotation and tangential-centrifugal production and radial control.
How the Artificial Intelligence With a Neural Networks and Rules Based System Are Used to Find a Correlations, and Therefore Try to Maintain Ed Improve the State of Health, in Patient Affect by Multiple Sclerosis at the Origin of the Food Taken by the Patient
In this work we want to address an Artificial Intelligence problem related to human nutrition, in the case of MS, which can be myelinating or demyelinating according to inputs that are to be considered "pseudo-cybernetic" at a low level and of natural origin, i.e. foods that can be myelinating or demyelinating as already mentioned. Thanks to the use of NNs, it is possible to build a system that highlights the response of the human body to natural inputs; such foods are therefore easy to find, with low costs and without dynamometers for the measurement of the musculoskeletal response of the human body that can be self-assessed by the subject who is subjected to this diet. The data search is conducted on the volatile web, not punctual, not necessarily found on specific sites but made to emerge from the browser in use in a summary form. One of the aspects that must be considered is that this work does not intend to give a precise, exhaustive, untouchable indication of the eating habits of the people involved. For example, someone may really like a food that is given as demyelinating and would eliminate it from his diet, but it would be good for him in other ways. So everyone is free to interpret the indications that the intelligent system will give him at his convenience and pleasure and that's it because he could find some food, some myelinating foods that give him more strength than others, so if it doesn't cost him anything to replace it or integrate it, so much the better.
A Neural Networks and Rules Based System used to Find a Correlations, and Therefore Try to Maintain the State of Health, in Patient Affect by Multiple Sclerosis at the Origins of Well-Being at a Certain Time Daily Time with Clinical and the Musculoskeletal Exams.
In this work we will explore the fact that according to recent studies published in specialist medical journals, during the early morning sleep-wake hours, during the early morning sleep-wake hours. The idea we propose is the clinical-musculoskeletal monitoring of a certain number of MS patients for twenty-four hours so that they can collect data to train a neural network with an appropriate learning algorithm suitable for the purpose. The patients will first be hypothesized as such in the present work and in the subsequent ones a virtual patient will be developed, only in the last step will real patients be used whose data will be housed in the virtual container necessary to be able to present it to the learning system.
From the Instinctive Drowning Response to Intelligent Water Safety: A Research Agenda for AI-Augmented Aquatic Risk Science
This article proposes a research program that integrates recent advances in artificial intelligence with established theory and practice in drowning prevention, lifeguard operations, and aquatic risk management. Building on prior contributions that characterized the Instinctive Drowning Response and clarified the cognitive and perceptual demands placed on rescuers, I outline how intelligent systems can support earlier recognition, better prioritization, and more reliable intervention in aquatic environments. The paper introduces a modular architecture for AI-enhanced water safety that spans perception, causal risk modeling, decision support, education and training, and system-level prevention. It presents practical evaluation criteria, interdisciplinary collaboration paths, and governance principles tailored to the realities of beaches, pools, waterparks, and open water. The agenda emphasizes human-centered design, ethical deployment, and translational research that connects laboratory methods with lifeguard stands, facility control rooms, and public health practice
Monologue of Discernment About Dark Matter
The aim of this work on DM is to confine it whether it belongs to the dark periodic table or is part of a single very small dark element as mentioned in [10] making it possible to improve the works presented by the undersigned in the bibliography for example teleportation [7] could be improved with elements inserted in a certain way from the dark periodic table: in the W spiral of the classical periodic table, or in the antigravity 'Poynting vector' in fig. 3 [5].
Artificial Intelligence and Neural Networks With Rules-Based Filter Are Useful to Find Correlations Between Diet and the Health Status of Multiple Sclerosis Patients
In this article we address three different problems of "Surface Analysis" thanks to Artificial Intelligence with Neural Networks related to the diet of the person newly affected by multiple sclerosis, a diet that can be myelinating or demyelinating; the second has the objective of recognizing whether oil, or water, can be present in a site and the presumed depth; the third objective is to classify radioactive atoms, such as Plutonium, on a neutral surface, as a sort of "Identity Card". The data were collected, not on sites or authors that deal with the topic in question, but thanks to what emerges in summary form in the most common browsers, called in this work "data found on the volatile web". It should be noted that the following chapters of this article do not aim to be precise and complete, but only to provide some ideas presented in a preliminary form to be explored in further studies. Each reader can draw the various indications, interpreting, thanks to the preliminary results, to modify the various "Intelligent" systems and proposing modifications to the various proposed architectures; This aspect must be considered carefully and recursively in all three chapters that follow. In a second stage, the bibliographical sources will also have to be studied in depth, finding help also from the various authors to be taken into consideration. remembering that the various problems, present in the three chapters, have been addressed by transforming them into a "surface" analysis
