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Other specific examples of research products include vaccines and drugs, decision algorithms, mathematical models, information tools and resources e.g. geographical information systems; training manuals, databases, health education materials etc. Patents of research information or products and citations of patents by other researchers, are another area of potential research impact [ 32].
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As simple as this notion seems, upon determining the capacity of the channel and by cleverly coding the information involved, precise mathematical models of information transactions (similar to electronic frequencies of energy transmissions) may be evolved and employed for complex analyses within the strictures of formal logic.
When combined with mathematical models, this information provides further insight into underlying mechanisms and important parameters that are unable to be extracted from experimental techniques.
In 1948, Claude Shannon published an extraordinary article, defining for the first time a mathematical model of information and determining the maximum information quantity that can be transferred over a channel, now called the shannon limit, and the limits to possible lossless data compression.
Methodologies developed in this paper extend the previous work on mathematical modeling and information processing complexity, and improve the reliability and efficiency of required data and information processing in collaborative virtual maintenance process.
Consequently, we developed a kinetic mathematical model (Supporting information Figure S2) by integrating Aguda's model with the p53 oscillation system (Supporting information Figure S1).
Consequently, we constructed a novel kinetic mathematical model (Supporting information Figure S3) that integrated Bagci's model with the p53 oscillation system (shown in supporting information Figure S1).
New mathematical model of information processing in the brain accurately predicts some of the peculiarities of human vision.
Integrative medical informatics tools are developed for IPG-based pulse signal analysis harnessing Ayurveda's clinical phenotyping principles and mathematical modeling with information technology for clinical assessment of pulse qualities.
Researchers highlight that mathematical models provide useful information for decision-makers to select appropriate choices and save cost.
The two mathematical models used provide information helpful in distinguishing between ordinary shock spectra and design shock spectra, and thus in developing shock design values for future structures.
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