Two sets of vector variables for the analysis of rotational motions of a rigid body are presented. The first set consists of the vector projections of the angular velocity on the eigenvectors of the inertia tensor, the second one is based on the angular velocity and moment of momentum vectors...
The first set consists of the vector projections of the angular velocity on the eigenvectors of the inertia tensor, the second one is based on the angular velocity and moment of momentum vectors. Vector analogues of the dynamic Euler equations are obtained for the considered variables. The ...
Uniaxial pressure provides an efficient approach to control charge density waves in YBa2Cu3Oy. It can enhance the correlation volume of ubiquitous short-range two-dimensional charge-density-wave correlations, and induces a long-range three-dimensional ch
In addition to the methods of direct measuring, other approaches have been developed to model and predict RBP binding. Traditionally, position-weight-matrices have been used to describe RBP binding determinants and to predict RBP binding targets from RNA sequences.14Machine learning methods that integ...
to characterize both the sequence and structural properties of RNA; (2) A unified alignment of multi-source feature representation is developed to embed the dynamic contextual information and icSHAPE contour vectors with dimensional homogeneity to generate the potential feature representations; (3) We ...
where\({\dot{\gamma }}^{\alpha } \)is the shear rate of slip system\(\alpha \). The vectors\({\varvec{m}}^{\alpha }\)and\({\varvec{n}}^{\alpha }\)are unit vectors which describe the slip direction and normal of slip plane\(\alpha \), respectively.nis the number of sli...
(O2SR) and context-to-object-word reward models (C2OR). Experimental findings demonstrate that the optimum sentiment vectors effectively retrieve the features in terms of semantics and sentiment analysis, outperforming baseline approaches on tasks such as word analogy, similarity, and sentiment analysis...
Use a transform datastore to parallelize the feature extraction. Extract wavelet feature vectors for the train and test sets. Get scatteringTrain = transform(adsTrain,@(x)HelperWaveletFeatureVector(x,sf)); xTrain = readall(scatteringTrain,UseParallel=canUseParallelPool); xTrain = (reshape(x...
For these results, two FN-DAM devices were independently programmed according to the perceptron training rule27. We trained the weights of a perceptron model to classify a linearly separable dataset comprising of 50 instances of two-dimensional vectors, as shown in Fig. 5a. During each epoch, ...
where immunity benefit vectors\({B}_{1}\)and\({B}_{2}\)are computed using\(\frac{{ind}_{Sbest} - {ind}_{Sworst}}{2}\)and\(\frac{{ind}_{Ibest} - {ind}_{Iworst}}{2}\)respectively. Mutation of infected (I) The impact of infection on an individual solution reduces its ...