University of North Carolina at Charlotte

About: University of North Carolina at Charlotte is a education organization based out in Charlotte, North Carolina, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 8772 authors who have published 22239 publications receiving 562529 citations. The organization is also known as: UNC Charlotte & UNCC.

Randomized trial of behavioral activation, cognitive therapy, and antidepressant medication in the acute treatment of adults with major depression.

Abstract: Antidepressant medication is considered the current standard for severe depression, and cognitive therapy is the most widely investigated psychosocial treatment for depression. However, not all patients want to take medication, and cognitive therapy has not demonstrated consistent efficacy across trials. Moreover, dismantling designs have suggested that behavioral components may account for the efficacy of cognitive therapy. The present study tested the efficacy of behavioral activation by comparing it with cognitive therapy and antidepressant medication in a randomized placebo-controlled design in adults with major depressive disorder (N = 241). In addition, it examined the importance of initial severity as a moderator of treatment outcome. Among more severely depressed patients, behavioral activation was comparable to antidepressant medication, and both significantly outperformed cognitive therapy. The implications of these findings for the evaluation of current treatment guidelines and dissemination are discussed.

Genetic algorithms + data structures = evolution programs (3rd ed.)

Abstract: IN THIS CONTRIBUTION A WAY TO ENHANCE THE PERFORMANCE OF THE CLASSIC GENETIC ALGORITHM IS PROPOSED THE IDEA OF RESTARTING A GENETIC ALGORITHM IS APPLIED IN ORDER TO OBTAIN BETTER KNOWLEDGE OF THE SOLUTION SPACE OF THE PROBLEM' 3 / 12 'PDF Genetic Algorithms In C April 30th, 2020 The Design of Innovation Lessons from and for petent Genetic Algorithms Genetic Algorithms and Evolutionary putation Genetic Algorithms and Genetic Programming in putational Finance Genetic Algorithms Data Structures Evolution Programs An Introduction to Genetic' 'Genetic algorithms data STRUCTURES evolution programs March 24th, 2020 Genetic algorithms data STRUCTURES evolution programs Zbigniew Michalewicz 1996 3rd ed New York Springer pp 387 ISBN 3 540 60676 9 58 00 DM' 'Genetic Algorithms Data Structures Evolution Programs May 1st, 2020 Genetic algorithms are founded upon the principle of evolution i e survival of the fittest Hence evolution programming techniques based on genetic algorithms are applicable to many hard optimization problems such as optimization of functions with linear and nonlinear constraints the traveling salesman problem and problems of scheduling partitioning and control''evolutionary approach for relative gene expression algorithms april 23rd, 2020 a relative expression analysis rxa uses ordering relationships in a small collection of genes and is successfully applied to classiffication using microarray data as checking all possible subsets of genes is putationally infeasible the rxa algorithms require feature selection and multiple restrictive assumptions our main contribution is a specialized evolutionary algorithm ea for top''An Enhanced Algorithm For Multiple Sequence Alignment Of February 6th, 2017 In This Paper An Alignment Method Using Genetic Algorithm For Multiple Sequence Alignment Has Been Proposed Two Different Genetic Operators Mainly Crossover And Mutation Were Defined And Implemented With The 4 / 12 Proposed Method In Order To Know The Population Evolution And Quality Of The Sequence Aligned' 'Fuzzy Evolutionary and Neuro puting April 22nd, 2020 Genetic algorithms and evolution programs Principle of evolution Genetic code Representation Initial population Evaluation function Genetic operators selection crossover and mutation Genetic algorithm parameters Simple GA Schema theorem and building block hypothesis Genetic algorithm in practise Numerical optimisation'' overview of genetic algorithms for the solution of April 21st, 2020 Genetic algorithms are a probabilistic search approach which are founded on the ideas of evolutionary processes The GA procedure is based on the Darwinian principle of survival of the fittest An initial population is created containing a predefined number of individuals or solutions each represented by a genetic string incorporating the variable ' 'gaoptim Function R Documentation March 23rd, 2020 Randy L Haupt Sue Ellen Haupt 2004 Practical Genetic Algorithms 2nd Ed Michalewicz Zbigniew Genetic Algorithms Data Structures Evolution Programs 3rd Ed Luke Sean Department Of Puter Science Gee Mason University Essentials Of Metaheuristics Online Version 1 2 July 2011' 'Anthony Awuley Stack Overflow April 13th, 2020 Introduction to Algorithms 3rd Edition MIT Press Thomas H Cormen Charles E Leiserson Ronald L Rivest Clifford Stein Data Structures and the Standard Template Library William Collins Genetic Algorithms Data Structures Evolution Programs Zbigniew Michalewicz A Field Guide to Genetic Programming'

Energy applications of ionic liquids

Abstract: Ionic liquids offer a unique suite of properties that make them important candidates for a number of energy related applications. Cation–anion combinations that exhibit low volatility coupled with high electrochemical and thermal stability, as well as ionic conductivity, create the possibility of designing ideal electrolytes for batteries, super-capacitors, actuators, dye sensitised solar cells and thermo-electrochemical cells. In the field of water splitting to produce hydrogen they have been used to synthesize some of the best performing water oxidation catalysts and some members of the protic ionic liquid family co-catalyse an unusual, very high energy efficiency water oxidation process. As fuel cell electrolytes, the high proton conductivity of some of the protic ionic liquid family offers the potential of fuel cells operating in the optimum temperature region above 100 °C. Beyond electrochemical applications, the low vapour pressure of these liquids, along with their ability to offer tuneable functionality, also makes them ideal as CO2 absorbents for post-combustion CO2 capture. Similarly, the tuneable phase properties of the many members of this large family of salts are also allowing the creation of phase-change thermal energy storage materials having melting points tuned to the application. This perspective article provides an overview of these developing energy related applications of ionic liquids and offers some thoughts on the emerging challenges and opportunities.

Global, regional, and national burden of Parkinson's disease, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Abstract: Summary Background Neurological disorders are now the leading source of disability globally, and ageing is increasing the burden of neurodegenerative disorders, including Parkinson's disease. We aimed to determine the global burden of Parkinson's disease between 1990 and 2016 to identify trends and to enable appropriate public health, medical, and scientific responses. Methods Through a systematic analysis of epidemiological studies, we estimated global, regional, and country-specific prevalence and years of life lived with disability for Parkinson's disease from 1990 to 2016. We estimated the proportion of mild, moderate, and severe Parkinson's disease on the basis of studies that used the Hoehn and Yahr scale and assigned disability weights to each level. We jointly modelled prevalence and excess mortality risk in a natural history model to derive estimates of deaths due to Parkinson's disease. Death counts were multiplied by values from the Global Burden of Disease study's standard life expectancy to compute years of life lost. Disability-adjusted life-years (DALYs) were computed as the sum of years lived with disability and years of life lost. We also analysed results based on the Socio-demographic Index, a compound measure of income per capita, education, and fertility. Findings In 2016, 6·1 million (95% uncertainty interval [UI] 5·0–7·3) individuals had Parkinson's disease globally, compared with 2·5 million (2·0–3·0) in 1990. This increase was not solely due to increasing numbers of older people, because age-standardised prevalence rates increased by 21·7% (95% UI 18·1–25·3) over the same period (compared with an increase of 74·3%, 95% UI 69·2–79·6, for crude prevalence rates). Parkinson's disease caused 3·2 million (95% UI 2·6–4·0) DALYs and 211 296 deaths (95% UI 167 771–265 160) in 2016. The male-to-female ratios of age-standardised prevalence rates were similar in 2016 (1·40, 95% UI 1·36–1·43) and 1990 (1·37, 1·34–1·40). From 1990 to 2016, age-standardised prevalence, DALY rates, and death rates increased for all global burden of disease regions except for southern Latin America, eastern Europe, and Oceania. In addition, age-standardised DALY rates generally increased across the Socio-demographic Index. Interpretation Over the past generation, the global burden of Parkinson's disease has more than doubled as a result of increasing numbers of older people, with potential contributions from longer disease duration and environmental factors. Demographic and potentially other factors are poised to increase the future burden of Parkinson's disease substantially. Funding Bill & Melinda Gates Foundation.

Pathview: an R/Bioconductor package for pathway-based data integration and visualization

Abstract: Summary: Pathview is a novel tool set for pathway-based data integration and visualization. It maps and renders user data on relevant pathway graphs. Users only need to supply their data and specify the target pathway. Pathview automatically downloads the pathway graph data, parses the data file, maps and integrates user data onto the pathway and renders pathway graphs with the mapped data. Although built as a stand-alone program, Pathview may seamlessly integrate with pathway and functional analysis tools for large-scale and fully automated analysis pipelines. Availability: The package is freely available under the GPLv3 license through Bioconductor and R-Forge. It is available at http://bioconduc tor.org/packages/release/bioc/html/pathview.html and at http://