A number of studies have been conducted to obtain empirical relationships for the compound system and to develop a numerical simulation code for understanding this interaction (e.g., Tanaka 2007 and references therein).
In this paper, we review a variety of studies that have contributed to a mechanistic understanding of how the auditory MMN is generated, discuss the major hypotheses, and suggest a general and unifying framework; predictive coding, for understanding the MMN.
We introduce a new error-correcting code framework for understanding translation initiation, at the cellular level and present research results for Escherichia coli K-12.
To go along with the illustrated example, we have provided supplementary files that include sample data, Mplus input code, and an annotated guide for understanding the input code (http://dx.doi.org/10.1016/j.jsp.2016.11.002).jsp.2016.11.002
Other examples also call attention to systems and coding as a basis for understanding.
In order to investigate the dominant loss processes for relativistic electrons, similar combination of the global models ("Comprehensive Inner Magnetosphere Ionosphere Model (CIMI) with global MHD simulation REPPU" section) and kinetic simulations ("Electron hybrid code" section) is useful for understanding the loss process through interaction with waves such as EMIC.
The theory of space-time coding provides a useful basis for understanding how the diversity and multiplexing benefits can be achieved.
The predominant role of the biased mutation model in shaping genomic regions with a moderate G+C%, such as coding sequences, has important implications for understanding protein evolution.
The evaluation team also believed that deductive coding alone provided inadequate depth for understanding the clubhouse context, program's value to staff, and complex barriers and facilitators of implementation.
Moreover, Code argues, thick narratives are essential for understanding the very nature of intellectual virtue.
