recurrent sigmoid volvulus is a clinical entity characterized by recurrent episodes of partial or complete sigmoid volvulus. although it is commonly seen in the elderly, it can be occasionally seen in younger patients. patients with recurrent partial sigmoid volvulus are relatively asymptomatic or present with mild abdominal pain. early diagnosis and treatment is essential to prevent conversion...

In this study, we present the operator-dependent sigmoid function, which is derived from a universal unary operator called kappa function. Here, describe how generalized function related to representable uninorms (i.e., Dombi's aggregative operator). Namely, show that inverse of an additive generator operator. We provide necessary and sufficient conditions for form transforms into conjunctive o...

<span lang="EN-US">This study implements a recurrent neural network (RNN) by comparing two RNN structures, namely Elman and Jordan using the backpropagation through time (BPTT) programming algorithm in training forecasting process foreign exchange cases. The activation functions used are linear transfer function, tan-sigmoid function (Tansig), log-sigmoid (Logsig), which applied to hidden...

An information processing algorithm which simulates the way biological neural systems process information, and one of the most popular machine learning algorithms, ANN (Artificial Neural Network) has been extensively used for Data Mining, which extracts hidden patterns and valuable information from large databases. Data Mining is commonly used in a wide range of practices such as accounting, ma...

The parietal cortex is thought to represent the egocentric positions of objects in particular coordinate systems. We propose an alternative approach to spatial perception of objects in the parietal cortex from the perspective of sensorimotor transformations. The responses of single parietal neurons can be modeled as a gaussian function of retinal position multiplied by a sigmoid function of eye...