breast cancer continues to be a significant public health problem in the world. early detection is the key for improving breast cancer prognosis. in this way, magnetic resonance imaging (mri) is emerging as a powerful tool for the detection of breast cancer. breast mri presently has two major challenges. first, its specificity is relatively poor, and it detects many false positives (fps). secon...

In this paper we investigate existence of solutions for the system: Dtαu=div(u∇p),Dtαp=−(−Δ)sp+u2,in T3 0<s≤1, and 0<α≤1. The term Dtαu denotes Caputo derivative, which models memory effects in time. fractional Laplacian (−Δ)s represents Lévy diffusion. We prove global nonnegative weak that satisfy a variational inequality. proof uses several approximations steps, including an implicit Euler ti...

In this paper, we propose a simple and robust local descriptor, called the robust local binary pattern (RLBP). The local binary pattern (LBP) works very successfully in many domains, such as texture classification, human detection and face recognition. However, an issue of LBP is that it is not so robust to the noise present in the image. We improve the robustness of LBP by changing the coding ...

The morphology of aggregates formed by an E-azobenzene derivative possessing terminal phenylenebiuret hydrogen-bonding groups can be manipulated by the solvent composition and UV irradiation.

Setting up a symbolic algebraic system is the first step in mathematics mechanization of any branch of mathematics. In this paper, we establish a compact symbolic algebraic framework for local geometric computing in intrinsic differential geometry, by choosing only the Lie derivative and the covariant derivative as basic local differential operators. In this framework, not only geometric entiti...