Sentence examples for figures can be represented from inspiring English sources

Figures can be represented as floating in space and can be arranged vertically as well as horizontally.

Figure and ground information in an image can be represented by assigning ownership of the border between two surfaces.

An attractor (a learned pattern) can be represented as a dent in this plane (figure 2, center).

Mathematically, the current scenario 1 for a given PU activity (see Figure 4) can be represented as follows.

Similarly, the conditions and actions in Figure  1 can be represented using the appropriate GDL expressions and archetype data elements and in those examples, terminology bindings are also often present due to the existence of several diagnoses or conditions such as 'stroke' or 'stroke mimic'.

The graph in Figure 2 can be represented by a set of structural equations, given by: { y 1 = β 1 x 1 + e 1 y 2 = λ 21 y 1 + β 2 x 2 + e 2 y 3 = λ 31 y 1 + λ 32 y 2 + β 3 x 3 + e 3 where β's are model parameters representing the "fixed effects" of the x covariates on y's, and λ's are structural coefficients representing the magnitude of the casual effects among y's.

This interactions thus form an 8 member ring (Figure 8) which can be represented by the graph-set motif R22 8) [51].

However, the progressive perfect subtrace that contains the sorting sequence described in Figure 1(C) can be represented by the 2-tuple (e, f), where the valid progressive perfect representative e is {2, 4, 7}, {4, 5, 7}, {6}, {2, 3, 6, 8}, {1,..., 8}, {3,..., 7}, {3,..., 8}, {4, 5, 6}.

As depicted in Figure 1, SNAD can be represented as two general components: 1) Similarity Measurement (SNAD-SM), which feeds into 2) Anomaly Evaluation (SNAD-AE).

As exhibited in Additional file 1: Figure S10, annotation rings can be represented as bars, histograms and heat maps.

As shown in Figure 1, an alignment can be represented as a sequence of states drawn from M, I t and I s, and assigned a probability calculated by our CNF model.