More about the Informational (Quantum) Healing In the Ongoing Pandemic Situation

In a Pandemic like this one, it is important to know that the viruses cause color changes in the aura long before the disease symptom would appear in the body. As soon as the aura changes its color, we need to start trials to restore the health. All processes in the body are ruled and regulated by a Quantum Computer in the Subconscious, which operates with the waves of the weak informational NEMF seen as aura and called Spirit. If so, we need to try to access the weak informational NEMF informationally (with prayer or meditation with affirmation) and ask for correction of the distortions in the aura (Spirit), which if not corrected would lead to a disease of the physical body at later time. EEG measurements of Russian scientists showed that during meditation and prayer the Conscious is not active. Since hypnotists put the conscious to sleep to access the Subconscious, obviously prayer and meditation with affirmation act as self-hypnosis and are ways to access the Subconscious and the Quantum Computer in it. Since the Quantum Computer operates with the waves of our weak informational NEMF (Spirit), by accessing it informationally (with prayer or meditation with affirmation), we can do informational healing. The healing with informational energy called info-energy medicine is the medicine of the future because: it is non-invasive, works fast, it is efficient, and does not have side effects.

Statistics and Machine Learning Experiments in English and Romanian Poetry

This paper presents a quantitative approach to poetry, based on the use of several statistical measures (entropy, informational energy, N-gram, etc.) applied to a few characteristic English writings. We found that English language changes its entropy as time passes, and that entropy depends on the language used and on the author. In order to compare two similar texts, we were able to introduce a statistical method to asses the information entropy between two texts. We also introduced a method of computing the average information conveyed by a group of letters about the next letter in the text. We found a formula for computing the Shannon language entropy and we introduced the concept of N-gram informational energy of a poetry. We also constructed a neural network, which is able to generate Byron-type poetry and to analyze the information proximity to the genuine Byron poetry.

Statistics and Machine Learning Experiments in English and Romanian Poetry

This paper presents a quantitative approach to poetry, based on the use of several statistical measures (entropy, informational energy, N-gram, etc.) applied to a few characteristic English writings. We found that English language changes its entropy as time passes, and that entropy depends on the language used and on the author. In order to compare two similar texts, we were able to introduce a statistical method to asses the information entropy between two texts. We also introduced a method of computing the average information conveyed by a group of letters about the next letter in the text. We found a formula for computing the Shannon language entropy and we introduced the concept of N-gram informational energy of a poetry. We also constructed a neural network, which is able to generate Byron-type poetry and to analyze the information proximity to the genuine Byron poetry.

Informational Energy and Entropy Applied to Testing Exponentiality

The exponential distribution is widely used in reliability and life testing analysis. In this paper, two tests of fit for the exponential distribution based on Informational Energy and entropy are constructed. Consistency and other properties of the tests are proved. Using a simulation study, critical values of the proposed tests are obtained and then power values of tests are computed and compared with each other against various alternatives. Finally, we apply the tests for time between failures of secondary reactor pumps and waiting times for fatal plane accidents in the USA from 1983 to 1998.

Freelancer as an Entrepreneur: a Choice as Career Development

Entrepreneurship starts to become a challenging option among freelancers worldwide. However, the low rate of entrepreneurship as a career choice among freelancers is due to peculiar factors. Turning freelance activities in sustainable businesses are considered a smart career pathway by many scholars and freelance practitioners. This article aims at revealing through a case study how a freelancer has been immersed into an entrepreneurial approach, his sources of income being influenced by this entrepreneurial mindset shift. This study computes the values of the adjusted informational energy based on inputs for distribution of incomes reported by a Romanian freelancer turned entrepreneur, emphasizing the time series revenues from freelancing, on the one hand, and entrepreneurship, on the other hand. The research is mainly focused on an econometric model, built on informational energy model, highlighting a peculiar decrease of the entropy, as the effect of the higher weights of the incomes from entrepreneurship. Building on mathematical modelling, this study presents an analysis framework that combines financial data and statistical analysis to examine the influence of revenues registered by a freelancer who accepted an entrepreneurial challenge as a second source of income. This study expands previous research by using Onicescu’s informational energy theory to a peculiar case of a freelancer turned entrepreneur. The strength of the adjusted informational energy modelling consists of revealing the added value of the statistical analysis and emphasizing the specific architecture of freelancer incomes’ influences on the adjusted informational energy. The findings of this research also outline motivation pillars for the freelancers who are willing to commit to entrepreneurial initiatives. Keywords: freelancing, entrepreneurship, informational energy, entropy, econometrics.

A logarithmic informational temperature scale as a criterion to classify molecular systems

In this work, we applied a definition of informational energy and informational temperature using 1865 molecules and showed that such definitions can classify molecules with similar chemical properties such as hardness, softness and chemical potential.