Sentence examples for inputs for individual from inspiring English sources

Exact(4)

Furthermore, using sliding mode control approach, we design decentralized control inputs for individual agents that use only data from the neighboring agents which directly communicate their state information to the current agent in order to drive the current agent to the desired steady state.

Orthologous regions observed in all the species compared were defined as msHSBs and served as MGRA inputs for individual genomes.

For variations to the inputs for individual characteristics (Table 3), the choice of airway morphometry using the the human stochastic lung model resulted in a lower retention compared with the symmetric lung model.

Moreover, the distributions of reporter intensity for each neuron type shifted in a graded manner across the six bacterial concentrations indicating that the expression of tph-1 and daf-7 could provide information about a continuous range of environmental inputs for individual animals.

Similar(56)

By contrast, altering the basal input for individual genes (by changing either KP_Pax, KP_Irx, KP_O or KP_N; supplementary material Fig. S6C-J) significantly altered the pattern of gene expression.

The required input reductions for individual hospitals are set out in Table 6 where it is apparent that most hospitals would have benefited from reductions in the number of laboratory technicians and beds.

As the input datasets for individual proteins, we use condition-dependent abundance (arbitrary units) of proteins [ 27] and the MIPS functional database for individual proteins [ 28].

As a result, variations in the input levels for individual hospitals may have little impact on the correlation while significantly affecting the measured efficiency.

The number of m top-ranked features for NB filtering is selected by the user, who inputs the cutoff for individual marker prediction accuracy.

Let the data set be D = { y, { x i } i  = 1,…, n }, where x i is a vector of inputs (SNP genotypes) for individual i and y is a vector of target variables (EPD).

The essence of KRR is the so-called kernel trick that allows one to efficiently compute the higher-dimensional similarity measure by applying a simple kernel function k(x i, x j ) to any two input vectors for individuals i and j [ 52].

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