... hours, should be Gaussian distributed with standard deviation (Materials and methods) We tested this for the three biological replicates at 0/1 hour andfor the technical replicate Figure shows this ... TSR For both known and novel TSRs the classification into high-CpG and low-CpG is ambiguous for about 8% of the TSRs However, whereas for known TSRs 56% are associated with the high-CpG class, for ... Observed histograms of z-statistics for the three 0/1 hour (in red, dark blue, and light blue) samples andfor the technical replicate (in yellow) compared with the standard unit Gaussian (in black)...
... labeling we use SWIRL9 , for chunk parsing CASS (Abney, 1991) andfor constituency parsing Stanford Parser (Klein and Manning, 2003) Named-entity information is provided by Stanford Tagger (Finkel ... adhere to the definition of opinion holders from previous work (Wiegand and Klakow, 2010; Wiegand and Klakow, 2011a; Wiegand and Klakow, 2011b), i.e every source of a private state or a subjective ... in (5) and (6), are not covered Wiegand and Klakow (2011a) show that considering less restrictive contexts significantly drops classification performance So the natural extension of looking for predicates...
... results in two sliding surfaces for output voltage control: T S (evo , t ) = α S (evo , t ) = β kα * (voα − voα )dt = T ∫ kβ T T ∫ (v * oβ − voβ )dt = (3) k α > and kβ > The input currents are like ... The reference values for sliding mode controller design are the output voltages and input currents For an easier controller design the output voltages are transformed into ‘ β coordinates by applying ... basic DTC for voltage source converters a direction of output voltage is chosen according to the output voltage sector and the output of the hysteresis comparators for torque and flux CT and CΨ,...
... networks for sensors and measurement systems, for identification in instrumentation and measurement, for instrumentation and measurement dedicated to system and plant control, andfor signal and image ... allowed for coordinating, homogenizing, and consolidating educational efforts on neural technologies for V Piuri and S Ablameyko / Introduction to Neural Networks instrumentation, measurement, andrelated ... confidence and understanding as well as to know and appreciate new possible partners and to create long lasting friendships and cooperations All of the above will be useful for positive globalization and...
... Cn is closed and convex for all n For n 1, we have C C1 which is closed and convex Assume that Cn for some n ≥ is closed and convex; from Lemma 2.2, we have that Cn is also closed and convex; ... → and from A3 , we get Fk ω, y ≥ for all y ∈ C and ω ∈ EP Fk for each k holds 3.34 1, 2, , M, that is, ω ∈ ∩M EP Fk Hence 3.23 k 10 Journal of Inequalities and Applications Step From 3.6 and ... and others; see, for instance, 1, 3, and the references therein Some methods have been proposed to solve the equilibrium problem 1.1 ; related work can also be found in 5–8 Recently, Acedo and...
... Inequalities and Applications b If b h a t dg t ∈ I and either there exists an s ≤ t0 such that G t ≤ for t < s, G t ≥1 for s ≤ t ≤ t0 , G t ≤0 for t > t0 , 3.4 G t ≥1 for t0 < t < s, G t ≤0 for t ≥ ... g b dg a b dg a − β Tβ h, g α◦γ −1 , f2 − β γ −1 , and h x → γ h x x − α ◦ γ −1 x − β ◦ γ −1 α γ −1 ξ γ γ −1 ξ β γ −1 ξ γ γ −1 ξ Then by setting γ −1 ξ − α γ −1 ξ γ γ −1 ξ − β γ −1 ξ γ γ −1 ξ ... Science and Engineering, Academic Press, Boston, Mass, USA, 1992 J Peˇ ari´ and A U Rehman, “On logarithmic convexity for power sums andrelated results,” Journal c c of Inequalities and Applications,...
... and n p i γ xi ≥ γ xj , for j 1, , n, i n pi γ xi ∈ 0, γ a 3.15 i Then there exists η from 0, γ a such that α Sγ (x; p β Sγ (x; p − α Sα (x; p − β Sβ (x; p γ η α η −γ η α η γ η β η −γ η β ... f and g so that f Substituting these in 3.8 , α Sγ x; p β Sγ x; p Then by setting γ −1 η α ◦ γ −1 , g β ◦ γ −1 , and xi → γ xi ξ α ◦ γ −1 ξ − γ ◦ γ −1 ξ α ◦ γ −1 ξ ξ β ◦ γ −1 − α Sα x; p − β ... continuous and convex for all x1 , x2 , x3 of an open interval I for which x1 < x2 < x3 , then x3 − x f x x1 − x f x x2 − x1 f x3 ≥ 2.4 Theorem 2.4 Let x and p be two positive n-tuples n ≥ and let...
... parameters βc or βc Before we leave this section, h,n v,n we make two additional remarks Remark As before, (15) is valid for ri + ≤ s∗ (1) ≤ L − rs n and li +1 ≤ s∗ (2) ≤ M − ls For centroid ... al for target aspect and motion and review the observation and clutter models focusing on the GMRf representation of the background and the derivation of the associated likelihood function for ... model for target motion and aspect, while their respective weights may be updated recursively using a likelihood function that takes into account the models for the target’s signature andfor the...
... systems It studies the generation and performance of internal and external forces on these systems and the effects of these forces on each part of the body These forces can be calculated indirectly ... increasing force EMG Methodsfor Evaluating Muscle and Nerve Function (Haas, 1926) At higher force levels, the mean rectified value of the signal was found to exhibit linearity with force (Fuglsang-Frederiksen, ... mathematically similar to surface EMG signals with noise and is therefore the favorite candidate foranalyzing these signals The wavelet transform method has been applied with increasing success...
... Failure Assessment failing organ systems andrelated interventions We also suggest that this approach could be used as a basis for constructing statistical methods to analyze these relations quantitatively ... quantitatively Competing interests YAK is the author and director of the Muavenet Intensive Care Information System, which is an open access, online academic information system The other authors declare ... Critical Care Vol 11 No Kiliç et al Figure Graphical representation of the performance of LOD, SOFA and MODS: cardiovascular system Shown are data of another patient, illustrating differences...
... analysis methods Table contains the gene id (gene), mean and standard deviation of the unnormalised log ratio (M and SD), mean and standard deviation of the LOESS normalised log ratio (M LOESS and ... analysis methods The table contains the gene id (gene), mean and standard deviation of the unnormalised log ratio (M and SD), mean and standard deviation of the LOESS normalised log ratio (M LOESS and ... show the background for Cy5 and Cy3 in slide 9, and the bottom two images show the same for slide 10 Table II Only one method, IDL1, chose to perform background correction Some methods chose to...