Existing semantic segmentation works have been mainly focused on designing effective decoders; however, the computational load introduced by overall structure has long ignored, which hinders their applications resource-constrained hardwares. In this paper, we propose a head-free lightweight architecture specifically for segmentation, named Adaptive Frequency Transformer (AFFormer). AFFormer ado...

The free vibrations of cantilever slender beams polymers, which are viscoelastic materials, theoretically described using the simple Euler–Bernoulli assumption. comparison between theory and experimental data collected for a thermoplastic elastomer, polyether block amide, shows very satisfactory results. Consequently, is used thoughtful analysis impact material parameters beam geometry on its v...

The free energy of globular protein chain is considered to be a functional defined on smooth curves in three dimensional Euclidean space. From the requirement of geometrical invariance, together with basic facts on conformation of helical proteins and dynamical characteristics of the protein chains, we are able to determine, in a unique way, the exact form of the free energy functional. Namely,...

Silica sulfuric acid is found to catalyze efficiently the condensation of o-phenylenediamines with various linear and cyclic ketones to afford the corresponding 1,5-benzodiazepines in quantitative yields under solvent-free conditions at room temperature

silica sulfuric acid is found to catalyze efficiently the condensation of o-phenylenediamines with various linear and cyclic ketones to afford the corresponding 1,5-benzodiazepines in quantitative yields under solvent-free conditions at room temperature

We present an algorithm for computing n-gram probabilities from stochastic context-free grammars, a procedure that can alleviate some of the standard problems associated with n-grams (estimation from sparse data, lack of linguistic structure, among others). The method operates via the computation of substring expectations, which in turn is accomplished by solving systems of linear equations der...

Even Linear Language class is a subclass of context-free class. In this work we propose a characterization of this class using a relation of nite index. Theorems are provided in order to prove the consistence of the characterization. Finally, we propose a method to learn this class using a reduction to the problem of learning regular languages.