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Our results have implications for practice and extend current models of social cognition in developmental disabilities by isolating variable aspects of competence that predict specific and testable models for future research.
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This system has been also designed so as to include a simulation tool able to predict specific performances and investigate critical phenomena, and to optimize overall plant performances.
System-wide screens can help predict specific pathways and targets that individual anti-bacterial compounds interact with.
Future work will apply these and new models using Life History Theory to predict specific neural phenotypes and health outcomes.
The ability of an artificial neural network model, using a back propagation learning algorithm, to predict specific fuel consumption and exhaust temperature of a Diesel engine for various injection timings is studied.
A team led by scientists at the School of Medicine has developed an algorithm that can read the typed-out notes from veterinarians and predict specific diseases that the animal may have.
We further identify the genes containing these codons and predict specific functionally important residues.
Mathematical modeling may help to predict specific bird-pathogen interactions and to identify key parameters that need to be better estimated through additional research.
We succeeded to identify chemical descriptors which determine different types of inhibition, and which predict specific biophysical properties of inhibition (Kr, Ki, IC50, state-dependence, reversibility, use-dependence, onset and offset time constants).
Unlike many conventional methods, it does not require pre-selecting the functional classes and can predict specific functions for genes according to the functional annotations of their co-expressed genes.
Therefore, it is highly desirable to identify molecular classifiers that can reliably predict specific subgroups of high- and low-risk patients.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com