MAXIMUM LIKELIHOOD METHOD FOR PREDICTING ENVIRONMENTAL CONDITIONS FROM ASSEMBLAGE COMPOSITION: THE R PACKAGE BIO.INFER

Maximum Likelihood Method for Predicting Environmental Conditions from Assemblage Composition: The R Package bio.infer

This paper provides a brief introduction to the R package bio.infer, a set of scripts that facilitates the use of maximum likelihood (ML) methods for predicting environmental conditions from assemblage composition.Environmental DEEP CLEANSING SHAMPOO conditions can often be inferred from only biological data, and these inferences are useful when ot

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Black hole evaporation in conformal (Weyl) gravity

In this work, we explore all possible scenarios in the evaporation process GLASS of a spherical neutral AdS black hole in four-dimensional conformal gravity, where the equations of states are branched.In one branch, the final states correspond to the extremal black hole where the total decay time is divergent given any initial mass.In the other bra

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A Complex Study of Stator Tooth-Coil Winding Thermal Models for PM Synchronous Motors Used in Electric Vehicle Applications

The operational reliability and high efficiency of modern electrical machines depend on the ability to transfer heat in the construction parts of the machine.Therefore, many authors study various thermal models and work on the development of effective heat dissipation.New insights and methods lead to improved techniques for the thermal design of el

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