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Clinical and translational medicine integrates clinical research with modern methodologies in systems and computational biology, genomics, proteomics, metabolomics, pharmacomics, transcriptomics, and high-throughput image analysis.
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This would extend the use of the current methodology in systems than can process a reader's discrete emotions derived from the typographic cues and the TtS systems that only support discrete emotion approach.
Currently, no published study has integrated interdisciplinary knowledge and robust methodologies in a systems approach to quantitatively compare a comprehensive range of both fruit and soil quality indices using multiple organic and conventional farms, multiple varieties, and multiple sampling times.
This can be easily achieved, by a plethora of gene knockouts (KOs) methodologies in model systems ranging from E. coli to mice.
This provides reassurance that screens probing the same question but carried out by different methodologies in different systems can lead to at least partially overlapping results.
The proposed conceptual framework establishes a new methodology for modelling in Systems Biology and constitutes a basis for computer-aided collaborative research.
Advancements of technology and the informatization of society are factors that paved the way for shifting the teaching methodologies in higher educational system from the traditional classroom-based method to the use of information and communications technology.
This paper employs the Design Science Research DSRR) methodology in Information System (IS) research to develop and validate a knowledge transfer analysis framework to unify access to semi-structured DISPLANs (Disaster Management Plans) through a unified repository.
The paper also discusses some implications of trying to use systems engineering methodology in modern educational systems.
The presented MINLP-based optimization approach for nested-model selection and identification is a powerful methodology for model development in systems biology.
Based on this finding, there is justification in employing strong-typed methodologies for systems design projects particularly in the cases where the application domain is quite specialized.
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