Since in the physical world, most dependencies are smooth (differentiable), traditionally, functions were used to approximate these dependencies. In particular, neural networks activation such as sigmoid function. However, successes of deep learning showed that many cases, non-smooth like $$\max (0,z)$$ work much better. this paper, we explain why approximating often better—even when approximat...

AIM To explore the clinical value of bone flap creation and the sinus protection in the approach of retrosigmoid keyhole craniotomy with the guidance of three-dimensional (3D) sliced computer tomography (CT) reconstruction of the skull transverse sinus and sigmoid sinus groove. MATERIAL AND METHODS The scalp tracings of the transverse sinus and sigmoid sinus groove of 108 posterior fossa lesi...

Bridge is an international imperfect information game played with similar rules all over the world and it is played by millions of players. It is an intelligent game, which increases the creativity with multiple skills and knowledge of human mind. Because no player knows exactly what moves other players are capable of making. It is viewed as an imperfect information game. It is well defined in ...

The distribution of regulatory peptides was studied in the separated mucosa, submucosa and muscularis externa taken at 10 sampling sites encompassing the whole human sigmoid colon (five sites), rectum (two sites), and anal canal (three sites). Consistently high concentrations of VIP were measured in the muscle layer at most sites (proximal sigmoid: 286 (16) pmol/g, upper rectum: 269 (17), a mod...

This paper addresses an important and vital problem within the general area of character recognition, namely recognizing Marathi handwritten numerals. Artificial neural network approaches have been recognized as a powerful tool for handwritten numeral recognition. This paper demonstrates the use of single hidden layer MLP NN as a classifier for handwritten Marathi Numerals of Devnagari script. ...

For a function f starlike of order $$\alpha $$ , $$0\leqslant \alpha <1$$ non-constant polynomial Q degree n which is non-vanishing in the unit disc $${\mathbb {D}}$$ and $$\beta >0$$ we consider $$F:{\mathbb {D}}\rightarrow {\mathbb {C}}$$ defined by $$F(z)=f(z) (Q(z))^{\beta /n}$$ find largest value $$r\in (0,1]$$ such that $$r^{-1} F(rz)$$ lies various known subclasses functions as class $$\...

In many applications, the training data, from which one needs to learn a classifier, is corrupted with label noise. Many standard algorithms such as SVM perform poorly in presence of label noise. In this paper we investigate the robustness of risk minimization to label noise. We prove a sufficient condition on a loss function for the risk minimization under that loss to be tolerant to uniform l...

McDowall, Lachlan M., and Roger A. L. Dampney. Calculation of threshold and saturation points of sigmoidal baroreflex function curves. Am J Physiol Heart Circ Physiol 291: H2003–H2007, 2006. First published May 19, 2006; doi:10.1152/ajpheart.00219.2006.— The logistic sigmoid function curve provides an accurate description of the baroreflex input-output relationship and is the most commonly used...

We will be examining the Sigmoid Beverton-Holt difference equation. It has been shown that when the Sigmoid Beverton-Holt has a p-periodically-varying growth rate, there exists a p-periodic globally asymptotically stable solution {xn}. In this paper we extend this result to include a more general class of Sigmoid Beverton-Holt functions. Furthermore, we consider the case in which the variables ...

resection is the most common treatment choice for sigmoid volvulus, a common complication in our region. a new minimally invasive technique for sigmoid resection with local anesthesia was done in this study. this method is invented to avoid general on regional anesthesia in high-risk patients. nineteen patients were evaluated and then 14 were enrolled in this study. sigmoidectomy with a left lo...