Power Consumption Forecasting by Hybrid Deep Architectures with Data Fusion

Many of the deep learning solutions for time-series forecasting reported in the literature include complex neural networks that may not be directly employed by the practitioner in the field. In this study, we demonstrate how the standard deep neural network types, convolutional neural network (CNN) and long short-term memory (LSTM) network can be applied in the field of time-series forecasting. This study consists of two parts. The first part is to compare CNN and LSTM models with classical methods like Random Forest (RF) and ARIMA for the univariate electric power consumption task. The second part is to use the best performing model from the first part in the hybrid model and perform data fusion with the newly built hybrid model for the electric power consumption forecasting task. CNN and LSTM models outperform traditional methods when their performances are evaluated on the univariate electric power consumption data of Illinois, USA. We also illustrate the use of hybrid deep learning models composed of standard CNN and LSTM for data fusion with the aim of time-series forecasting. When the hybrid models are applied to the fused data of the electric power consumption data and the multivariate weather data of Illinois, USA, the forecasting performance is improved compared to that when only univariate data is used

Clarithromycin-Induced Long QT Syndrome: A Case Report

Long QT syndrome develops for a number of reasons. The number of non-antiarrhythmic drugs reported to induce QT interval prolongation with or without torsade de pointes continues to increase. Clarithromycin is a macrolide antibiotic being increasingly used for the treatment of atypical pneumonia. In this paper, we describe a patient who developed long QT prolongation syndrome after receiving clarithromycin for the treatment of atypical pneumonia

Portico RTI için paylaşımlı hafıza ve hibrit iletişim modellerinin tasarımı ve geliştirilmesi.

As distributed simulations became a new trend in the simulation world by the end of 1990s, a need for standards that provide rules for intercommunication of complex simulation systems has appeared. High Level Architecture (HLA) has been proposed by the United States Department of Defense (DOD) and has become a widely-used standard for the intercommunication of distributed simulations. The software that implements the HLA standard is called run-time infrastructure (RTI). Various closed and open source RTIs exist for public and commercial use. Well-known and widely-used closed source RTIs use various types of communication models like TCP, UDP and shared memory in their implementation. Currently, Portico RTI has two main communication models which are Jgroups and Java Virtual Machine (JVM) models. JVM model provides federates with a shared-memory like environment whereas Jgroups provides a network based communication services to federates. JVM model does not provide a real shared-memory environment where federates run as separate processes. Federates have to be invoked as separate threads in JVM model. If one of federates crashes, then whole federation might crash as well. Moreover a separate wrapper class has to be written in order to invoke federates as separate threads. All of these reasons motivated us to develop a real shared-memory communication model for Portico RTI. In this thesis we also aim to make shared-memory model work in a hybrid manner with another communication model, Jgroups. We present the new model, and compare evaluation results with the Portico implementation.M.S. - Master of Scienc

Comparision of pain scores of patients who underwent topical anesthesia or regional anesthesia during cataract surgery

Objective: The aim of this study is to investigate the pain sensation differences in the anesthesia methods applied with topical, intracameralor subtenon lidocaine pain experienced during cataract surgery (phacoemulsification and intraocular lens implantation) Method: This is a retrospective study. Four hundred and fifty patient undergoing cataract surgery were included in this study. Phacoemulsification surgery and intraocular lens implantation were performed using topical (n = 150), subtenon (n = 150), or intracameral anesthesia (n = 150). Topical group received 4% lidocaine drop; intracameral group was given 0.1-0.2 cc of 1% lidocaine with no preservative in the anterior chamber with topical lidocaine drops. The subtenon group received 2% lidocaine. Intraoperative pain level was assessed by verbal pain scale (VPS-Verbal PainSscale) and visual analog scale (VAS-Visual Analog Scale). Results: The mean pain score in the subtenon group was significantly lower than in the topical and intracameral groups (P = 0.0009 and P = 0.0055, respectively). There was no statistically significant correlation between intraoperative and postoperative pain levels and age or gender. Conclusion: For cataract surgery, it was observed that subtenon anesthesia was more appropriate during and after the operation, although intracameral and topical lidocaine had sufficient pain suppressive effect. © 2018 Anestezi Dergisi. All rights reserved

Extended q-Dedekind-type Daehee-Changhee sums associated with extended q-Euler polynomials

In the present paper, we aim to specify a p-adic continuous function for an odd prime inside a p-adic q-analog of the extended Dedekind-type sums of higher order according to extended q-Euler polynomials (or weighted q-Euler polynomials) which is derived from a fermionic p-adic q-deformed integral on Z(p).WOS:0003606634000022-s2.0-8494111875