BackgroundCan methods from computational models of decision-making be used to build a predictive model to identify individuals most likely to be nonadherent to personal fitness goals? Such a model may have significant value in the global battle against obesity.Despite growing awareness of the impact of physical inactivity on human health, sedentary
Refining raw disparity maps from different algorithms to exploit their complementary advantages is still challenging.Uncertainty estimation and complex disparity relationships among pixels limit the accuracy and robustness of existing methods and there is no psithurisme standard method for fusion of different kinds of depth data.In this paper, we i
A mathematical immuno-tumor model proposed by A.Kavaliauskas [Nonlinear Anal.Model.Control 8, 55 (2003)] and consisting of a Cauchy problem for a system of two first-order ordinary differential equations is studied.For some particular parameters values, this model has saddle-node, Hopf and Bogdanov-Takens (BT) singularities.In the case of the BT si
The past decade has seen an wedding bands in fresno increasing number of applications of deep learning (DL) techniques to biomedical fields, especially in neuroimaging-based analysis.Such DL-based methods are generally data-intensive and require a large number of training instances, which might be infeasible to acquire from a single acquisition sit
The modern methods of resolving conflicts during the arbitration process were discussed.Mediation and judicial settlement as two types of conciliation were analyzed.The need for further promotion and development of this institution in the arbitration process was emphasized.The specifics of restoring the rights and legitimate interests by applying f