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The DOE approach could be used to model other dressing properties, like for example capability of absorbing excess exudate or breathability.
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The relational ontology of the capabilities approach can extend to capabilities that are often thought of as properties of individuals, including, for example, capabilities to develop refined self-awareness and identities.
This subset could include, for example, capabilities to reason, to feel and respond to emotion, to intend and initiate action, to be self-aware and self-directing, to experience particular kinds of suffering and so on, and capabilities to participate socially in a group or community of beings that recognizes each other as having significant ethical privileges.
Some of the advantages of Random Forest in a virtual screening setting are: efficient processing of large numbers of examples; capability to handle many input variables; estimate variable importance; by design immune to overfitting and problems due to missing data; and it can predict balanced class populations from unbalanced data sets.
In principle, however, many capabilities can be recognized as widely valued some, including for example the capability to be well nourished, because they are deemed essential for human well-being and/or are foundational for many other capabilities.
For example, the capability to speak makes one always vulnerable to speaking erroneously, or misleadingly, or inappropriately.
For example, the capability of verbal representation of ones' thinking process can vary greatly among different subjects.
For example, the capability of anchorage-independent growth, migration, invasion, and tumorigenesis of MCF7 breast cancer cells is decreased when TAZ is knocked-down (Chan et al., 2008).
In general, the characteristics of a semiconductor, for example, drive capability and wire delay, are influenced by both temperature and voltage changes.
For example, the capability of life corresponds to the human species function or ability to live a life as this has become typical or normal through natural selection (Daniels 1985).
In a POMDP, it is assumed that the underlying dynamics of the environment are Markov but due to hidden variables or limitations in, for example, sensory capability, the agent is not aware of its complete state.
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