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This highlights the complexity of classifying peripherals a joystick with force feedback is truly both an input and an output peripheral.
Therefore, it is this deviation from the in vitro derived definitions that underlines the complexity of classifying macrophages into too tight a category, thereby complying with the literature that M2 cells have greater heterogeneity that M1 cells.
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The complexity of this project is classified as medium.
Much of the complexity in classifying carbonate rocks stems partly from the fact that many limestones and dolomites have been formed, directly or indirectly, through the influence of organisms, including bacteria, lime-secreting algae, various shelled organisms (e.g., mollusks and brachiopods), and by corals.
Particurlarly, we are interested in fully classifying the complexity of this problem when we look to the following properties Π: 'G is a chordal- (k,l -graph' and 'G is a strongly chordal- (k,l -graph', for and k,ℓ.
Like computational complexity theory, descriptive complexity theory also seeks to classify the complexity of infinite sets of combinatorial objects.
We classify the complexity of this problem for a number of well-known approaches (including Goldszmidt et al.'s maximum entropy approach and Geffner's conditional entailment), where we consider the general propositional case as well as natural syntactic restrictions (in particular, to Horn and literal-Horn conditional knowledge bases).
In the analysis of the gene expression data (as well as the phytochemical data), we used PCA and k-NN clustering as "diagnostic" tools with the goal to reduce the complexity of the data and to classify extracts into groups.
To further reduce the complexity of the assembly problem, we classify all contigs as either long (more than 500 bp) or short and concentrate on ordering the long contigs correctly.
This phenomenon also indicates the complexity of IBS and the necessity to classifying IBS based on pathophysiology.
The abstract notion of an automaton can be used to give one kind of answer; automata are machines that accept or reject words, and they are classified according to the complexity of the operations they perform.[16] A finite automaton has a finite number of states including one start state and at least one accepting state.
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