A BAD Demonstration: Towards Big Active Data

Feature Selection in Big Data by Using the enhancement of Mahalanobis–Taguchi System; Case Study, Identifiying Bad Credit clients of a Private Bank of Islamic Republic of Iran

The Mahalanobis-Taguchi System (MTS) is a relatively new collection of methods proposed for diagnosis and forecasting using multivariate data. It consists of two main parts: Part 1, the selection of useful variables in order to reduce the complexity of multi-dimensional systems and part 2, diagnosis and prediction, which are used to predict the abnormal group according to the remaining us...

The Assessment of Knowledge and Attitudes of Nursing and Medical Students towards Breaking Bad News in the Medical Sciences Universities in Kerman Province

Introduction: Breaking bad news in hospitals is a challenging task due to the lack of staff knowledge and skills. This study aimed to determine the knowledge and attitudes of medical and nursing intern students towards breaking bad news in medical universities of Kerman province. Materials and Methods: This descriptive- analytical study was conducted on 269 medical and nursing intern studen...

A Conceptual Framework for Smart Hospital towards Industry 4.0

Background: The fourth industrial revolution consists of combining network devices with cloud computing methods and analyzing large data and artificial intelligence, which makes it possible to call such an infrastructure smart. In a Smart Hospital, all things and devices are designed to be connected and integrated, thus achieving better patient care, increasing efficiency and reducing time wast...

Direct Demonstration by H.N.M.R. spectrometry of the stereoselectivity of yeast Glyoxalase l towards the Diastereomeric forms of the a-ketoaldehyde - Glutathione Hemithioacetal

Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses

In an increasingly data-rich world the need for developing computing systems that cannot only process, but ideally also interpret big data is becoming continuously more pressing. Brain-inspired concepts have shown great promise towards addressing this need. Here we demonstrate unsupervised learning in a probabilistic neural network that utilizes metal-oxide memristive devices as multi-state syn...