English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We demonstrate that the most probable state of a conserved system with alimited number of entities or molecules is the state where non-Gaussian andnon-chi-square distributions govern. We have conducted a thought experimentusing a specific setup. We have verified the mathematical derivation of themost probable state accurately predicts the results obtained by computersimulations. The derived distributions approach the Gaussian and the chi-squaredistributions as the number of entities approaches infinity. The deriveddistributions of the most probable state will have an important role in thefields of medical research where the number of entities in the system ofinterest is limited. Especially, the non-chi-square distribution can beinterpreted by an asset distribution achieved after a repetitive game where anarbitrary portion of one's assets is transferred to another arbitrary entityamong a number of entities with equal abilities.

Generalized Entropy Approach for Conserved Systems with Finite vs  Infinite Entities: Insights into Non-Gaussian and Non-Chi-Square  Distributions using Havrda-Charv\'at-Tsallis Entropy vs Gaussian  Distributions via Boltzmann-Shannon Entropy