Adverse Drug Reaction Classification With Deep Neural Networks

We study the problem of detecting sentences describing adverse drug reactions (ADRs) and frame the problem as binary classification. We investigate different neural network (NN) architectures for ADR classification. In particular, we propose two new neural network models, Convolutional Recurrent Neural Network (CRNN) by concatenating convolutional neural networks with recurrent neural networks, and Convolutional Neural Network with Attention (CNNA) by adding attention weights into convolutional neural networks. We evaluate various NN architectures on a Twitter dataset containing informal language and an Adverse Drug Effects (ADE) dataset constructed by sampling from MEDLINE case reports. Experimental results show that all the NN architectures outperform the traditional maximum entropy classifiers trained from n-grams with different weighting strategies considerably on both datasets. On the Twitter dataset, all the NN architectures perform similarly. But on the ADE dataset, CNN performs better than other more complex CNN variants. Nevertheless, CNNA allows the visualisation of attention weights of words when making classification decisions and hence is more appropriate for the extraction of word subsequences describing ADRs

Investigation of the influence of the symmetry of membership functions in the fuzzy controller on the quality of MPPT regulation in the photovoltaic system

The paper presents the results of the investigation of the influence of asymmetric membership functions in a fuzzy controller on the quality of MPPT regulation in the photovoltaic system. Comparison of the quality of fuzzy MPPT regulation with symmetrical and asymmetric membership functions is carried out. The results of the research showed the advantage of using asymmetric membership functions in the MPPT algorithm with fuzzy logic

Рендеринг с использованием облачных вычислений

This article includes a comparison of rendering 3D models in three different systems: a personal computer, render farm, cloud computing

Industry 4.0

Во всем мире традиционная обрабатывающая промышленность находится в процессе цифрового преобразования, которое вызвано стремительно растущими технологиями (например, роботы, автономные беспилотные летательные аппараты, 3D- печать). Компании и их производственные процессы должны подстроиться под эти быстрые изменения, если они не хотят отстать от развития их индустрии. Around the world, traditional manufacturing industry is in the throes of a digital transformation that is accelerated by exponentially growing technologies (e.g. intelligent robots, autonomous drones, sensors, 3D printing). Companies and their industrial processes need to adapt to this rapid change if they are not to be left behind by developments in their sector and by their competitors

Long-term water balances in La Violada irrigation district (Spain): I. Sequential assessment and minimization of closing errors

44 Pag., 5 Figs., 3 Tabl. The definitive version is available at: http://www.sciencedirect.com/science/journal/03783774Long-term analysis of hydrologic series in irrigated areas allows identifying the main water balance components, minimizing closing errors and assessing changes in the hydrologic regime. The main water inputs [irrigation (I) and precipitation (P)] and outputs [outflow (Q) and potential (ETc) crop evapotranspiration] in the 4000-ha La Violada irrigation district (VID) (Ebro River Basin, Spain) were measured or estimated from 1995 to 2008. A first-step, simplified water balance assuming steady state conditions (with error ɛ = I + P − Q − ETc) showed that inputs were much lower than outputs in all years (average ɛ = −577 mm yr−1 or −33% closing error). A second-step, improved water balance with the inclusion of other inputs (municipal waste waters, canal releases and lateral surface runoff) and the estimation of crop's actual evapotranspiration (ETa) through a daily soil water balance reduced the average closing error to −13%. Since errors were always higher during the irrigated periods, when canals are full of water, a third-step, final water balance considered canal seepage (CS) as an additional input. The change in water storage in the system (ΔW) was also included in this step. CS and ΔW were estimated through a monthly soil–aquifer water balance, showing that CS was a significant component in VID. With the inclusion of CS and ΔW in the water balance equation, the 1998–2008 annual closing errors were within ±10% of total water outputs. This long-term, sequential water balance analysis in VID was an appropriate approach to accurately identify and quantify the most important water balance components while minimizing water balance closing errors.This work was sponsored by the Spanish Ministry of Science and Education project AGL2006-11860/AGR, the European Regional Development Fund (FEDER) and the European Union project INCO CT-2005-015031.Peer reviewe

Numerical approximation of table functions on the basis of multidimensional optimization methods for modeling physics and technics problems

The aim of the article is to present an approximation method based on multidimensional optimization methods which does not require preliminary information about the derivatives of the approximating function. It is proposed to use a combination of the grid method, coordinate descent method and the golden section method to solve the task of optimizing the objective function (standard deviation in the nodes of the tabular function). The considered example of the approximation of the flight trajectory of a body in the atmosphere illustrates the comparability of the results of the proposed method and the least squares method

Анализ данных о смертности в России для разработки корпоративной системы пропаганды здорового образа жизни населения

Выпускная квалификационная работа 117 с., 13 рис., 34 табл., 16 источников, 1 прил. Объектом исследования являются данные, предоставленные МО 슫Здоровье슻, стандартизованных вопросников на умерших лиц. Цель работы установить закономерности в уже существующих статистических данных и данных проведенных в данном исследовании для дальнейшего использования в корпоративной системе пропаганды здорового образа жизни. В процессе исследования проводился ряд исследований по влиянию курения на смертность, распространенности курения среди населения, влияние различных факторов на смертность от болезней систем-кровообращения, обзор методов статистического анализа для медицинских исследований и практика их применеия.Final qualifying work 117 p., 13 fig., 34 tab., 16 Sources, Appendix 1. The object of research is the data provided by the Medical Association "Health", standardized questionnaires on deceased persons. The goal of the work to establish patterns in the existing statistics and data conducted in this study for further use in the corporate system of promoting a healthy lifestyle. The study was conducted a number of studies on the effect of smoking on mortality, the prevalence of smoking among the population, the impact of various factors on mortality from diseases of the circulatory systems, a review of methods of statistical analysis for medical research and practice them of use

Electronic platform MOODLE as means of students’ self-study organisationuse for foreign language teaching

The author considers the electronic platform Moodle as means of students’ self-study organization use for foreign language teaching, analyzes the information, communication, diagnostic functions of the platform and the structure of the bleanded-learning cource

Cohort feasibility study of an intermittent pneumatic compression device within a below-knee cast for the prevention of venous thromboembolism

OBJECTIVES: To determine the likely enrolment rate of eligible participants into a randomised controlled trial (RCT) in which a within-cast intermittent pneumatic compression device using Jet Impulse Technology (IPC/JIT) is 1 of 3 possible interventions in a RCT for the prevention of venous thromboembolism (VTE) in the clinical setting of isolated lower limb cast immobilisation. DESIGN: A prospective, open-label feasibility study of the IPC/JIT device placed within a lower limb cast. SETTING: Wellington Regional Hospital Fracture Clinic.PARTICIPANTS: Individuals aged 18-70 who presented with a lower limb injury requiring a minimum of 4 weeks below-knee cast immobilisation. INTERVENTION: Placement of an IPC/JIT device within lower limb cast. OUTCOME MEASURES: The main outcome measure was the proportion of eligible participants who participated in the feasibility study. Secondary outcome measures included adherence to device usage throughout the study, ease of application of the device and adverse events potentially associated with its use. RESULTS: The proportion of potentially eligible participants for the IPC/JIT device was only 7/142 (5%), 95% CI 2 to 9.9. Devices were used for a mean (range) of 4.1 (1.9 to 10.2) hours per day and none of 7 participants had adequate adherence to the device. 3 of the 7 participants suffered an adverse event, including 1 deep vein thrombosis, 2 dorsal foot ulcer and 1 skin maceration. CONCLUSIONS: A within-cast IPC/JIT device is unlikely to be a feasible randomisation arm for a RCT assessing possible interventions for the reduction of VTE risk in the clinical setting of lower limb injury requiring below knee cast immobilisation for a minimum of 4 weeks