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https://www.readbyqxmd.com/read/29236020/application-of-response-surface-methodology-as-a-new-pid-tuning-method-in-an-electrocoagulation-process-control-case
#1
Ş Camcıoğlu, B Özyurt, I C Doğan, H Hapoğlu
In this work the application of response surface methodology (RSM) to proportional-integral-derivative (PID) controller parameter tuning for electrocoagulation (EC) treatment of pulp and paper mill wastewater was researched. Dynamic data for two controlled variables (pH and electrical conductivity) were obtained under pseudo random binary sequence (PRBS) input signals applied to manipulated variables (acid and supporting electrolyte flow rates). Third order plus time delay model parameters were evaluated through System Identification Toolbox™ in MATLAB®...
December 2017: Water Science and Technology: a Journal of the International Association on Water Pollution Research
https://www.readbyqxmd.com/read/29234959/olfactory-cortex-and-olfactory-bulb-volume-alterations-in-patients-with-post-infectious-olfactory-loss
#2
Linyin Yao, Xiaoli Yi, Jayant Marian Pinto, Xiandao Yuan, Yichen Guo, Yifan Liu, Yongxiang Wei
Upper respiratory tract infection (URI) is one of the most common etiology of olfactory loss. Previous studies demonstrated that both olfactory bulb (OB) volume and sulcus (OS) depth decreased in patients with post-infectious olfactory loss (PIOL) compared to normal controls. The aim of our study was to observe alterations of central olfactory pathways in patients with PIOL. T1 weighted magnetic resonance images were acquired in 19 PIOL patients and 19 age- and sex-matched control subjects on a 3 T scanner...
December 13, 2017: Brain Imaging and Behavior
https://www.readbyqxmd.com/read/29232907/a-game-theory-based-incentive-framework-for-an-intelligent-traffic-system-as-part-of-a-smart-city-initiative
#3
Haibo Mei, Stefan Poslad, Shuang Du
Intelligent Transportation Systems (ITSs) can be applied to inform and incentivize travellers to help them make cognizant choices concerning their trip routes and transport modality use for their daily travel whilst achieving more sustainable societal and transport authority goals. However, in practice, it is challenging for an ITS to enable incentive generation that is context-driven and personalized, whilst supporting multi-dimensional travel goals. This is because an ITS has to address the situation where different travellers have different travel preferences and constraints for route and modality, in the face of dynamically-varying traffic conditions...
December 11, 2017: Sensors
https://www.readbyqxmd.com/read/29232561/development-of-artificial-intelligence-approach-to-forecasting-oyster-norovirus-outbreaks-along-gulf-of-mexico-coast
#4
Shima Shamkhali Chenar, Zhiqiang Deng
This paper presents an artificial intelligence-based model, called ANN-2Day model, for forecasting, managing and ultimately eliminating the growing risk of oyster norovirus outbreaks. The ANN-2Day model was developed using Artificial Neural Network (ANN) Toolbox in MATLAB Program and 15-years of epidemiological and environmental data for six independent environmental predictors including water temperature, solar radiation, gage height, salinity, wind, and rainfall. It was found that oyster norovirus outbreaks can be forecasted with two-day lead time using the ANN-2Day model and daily data of the six environmental predictors...
December 9, 2017: Environment International
https://www.readbyqxmd.com/read/29222764/optimization-of-multi-omic-genome-scale-models-methodologies-hands-on-tutorial-and-perspectives
#5
Supreeta Vijayakumar, Max Conway, Pietro Lió, Claudio Angione
Genome-scale metabolic models are valuable tools for assessing the metabolic potential of living organisms. Being downstream of gene expression, metabolism is increasingly being used as an indicator of the phenotypic outcome for drugs and therapies. We here present a review of the principal methods used for constraint-based modelling in systems biology, and explore how the integration of multi-omic data can be used to improve phenotypic predictions of genome-scale metabolic models. We believe that the large-scale comparison of the metabolic response of an organism to different environmental conditions will be an important challenge for genome-scale models...
2018: Methods in Molecular Biology
https://www.readbyqxmd.com/read/29222762/dynamic-flux-balance-analysis-using-dfbalab
#6
Jose Alberto Gomez, Paul I Barton
Bioprocesses are of critical importance in several industries such as the food and pharmaceutical industries. Despite their importance and widespread application, bioprocess models remain rather simplistic and based on unstructured models. These simple models have limitations, making it very difficult to model complex bioprocesses. With dynamic flux balance analysis (DFBA) more comprehensive bioprocess models can be obtained. DFBA simulations are difficult to carry out because they result in dynamic systems with linear programs embedded...
2018: Methods in Molecular Biology
https://www.readbyqxmd.com/read/29222760/computational-prediction-of-synthetic-lethals-in-genome-scale-metabolic-models-using-fast-sl
#7
Karthik Raman, Aditya Pratapa, Omkar Mohite, Shankar Balachandran
In this chapter, we describe Fast-SL, an in silico approach to predict synthetic lethals in genome-scale metabolic models. Synthetic lethals are sets of genes or reactions where only the simultaneous removal of all genes or reactions in the set abolishes growth of an organism. In silico approaches to predict synthetic lethals are based on Flux Balance Analysis (FBA), a popular constraint-based analysis method based on linear programming. FBA has been shown to accurately predict the viability of various genome-scale metabolic models...
2018: Methods in Molecular Biology
https://www.readbyqxmd.com/read/29222759/techniques-for-large-scale-bacterial-genome-manipulation-and-characterization-of-the-mutants-with-respect-to-in-silico-metabolic-reconstructions
#8
George C diCenzo, Turlough M Finan
The rate at which all genes within a bacterial genome can be identified far exceeds the ability to characterize these genes. To assist in associating genes with cellular functions, a large-scale bacterial genome deletion approach can be employed to rapidly screen tens to thousands of genes for desired phenotypes. Here, we provide a detailed protocol for the generation of deletions of large segments of bacterial genomes that relies on the activity of a site-specific recombinase. In this procedure, two recombinase recognition target sequences are introduced into known positions of a bacterial genome through single cross-over plasmid integration...
2018: Methods in Molecular Biology
https://www.readbyqxmd.com/read/29221873/modeling-and-prediction-of-regional-municipal-solid-waste-generation-and-diversion-in-canada-using-machine-learning-approaches
#9
Miyuru Kannangara, Rahul Dua, Leila Ahmadi, Farid Bensebaa
The main objective of this study was to develop models for accurate prediction of municipal solid waste (MSW) generation and diversion based on demographic and socio-economic variables, with planned application of generating Canada-wide MSW inventories. Models were generated by mapping residential MSW quantities with socio-economic and demographic parameters of 220 municipalities in the province of Ontario, Canada. Two machine learning algorithms, namely decision trees and neural networks, were applied to build the models...
December 5, 2017: Waste Management
https://www.readbyqxmd.com/read/29218590/measuring-and-testing-the-agreement-of-matrices
#10
Michael J Brusco, Douglas Steinley
The problem of comparing the agreement of two n × n matrices has a variety of applications in experimental psychology. A well-known index of agreement is based on the sum of the element-wise products of the matrices. Although less familiar to many researchers, measures of agreement based on within-row and/or within-column gradients can also be useful. We provide a suite of MATLAB programs for computing agreement indices and performing matrix permutation tests of those indices. Programs for computing exact p-values are available for small matrices, whereas resampling programs for approximate p-values are provided for larger matrices...
December 7, 2017: Behavior Research Methods
https://www.readbyqxmd.com/read/29218586/nonparametric-tests-for-equality-of-psychometric-functions
#11
Miguel A García-Pérez, Vicente Núñez-Antón
Many empirical studies measure psychometric functions (curves describing how observers' performance varies with stimulus magnitude) because these functions capture the effects of experimental conditions. To assess these effects, parametric curves are often fitted to the data and comparisons are carried out by testing for equality of mean parameter estimates across conditions. This approach is parametric and, thus, vulnerable to violations of the implied assumptions. Furthermore, testing for equality of means of parameters may be misleading: Psychometric functions may vary meaningfully across conditions on an observer-by-observer basis with no effect on the mean values of the estimated parameters...
December 7, 2017: Behavior Research Methods
https://www.readbyqxmd.com/read/29218030/in-situ-antibacterial-activity-of-essential-oils-with-and-without-alcohol-on-oral-biofilm-a-randomized-clinical-trial
#12
Victor Quintas, Isabel Prada-López, María J Carreira, David Suárez-Quintanilla, Carlos Balsa-Castro, Inmaculada Tomás
Currently, there is little evidence on the in situ antibacterial activity of essential oils (EO) without alcohol. This study aimed to evaluate in situ the substantivity and antiplaque effect on the plaque-like biofilm (PL-biofilm) of two solutions, a traditional formulation that contains EO with alcohol (T-EO) and an alcohol-free formulation of EO (Af-EO). Eighteen healthy adults performed a single mouthwash of: T-EO, Af-EO, and sterile water (WATER) after wearing an individualized disk-holding splint for 2 days...
2017: Frontiers in Microbiology
https://www.readbyqxmd.com/read/29216103/digital-quantification-of-dna-by-mapping-polarization-degree-related-with-coding-gold-nanorods
#13
Zhenjie Wu, Ran Liao, Xiangyu Sun, Di Zu, Wenlan Liu, Hui Tan, Shuqing Sun
The development of highly sensitive and low-cost methods for detecting DNA is of critical importance. Here, we describe a strategy for the highly sensitive and low-cost digital detection of target DNA. Individual DNA molecules were encoded with a single gold nanorod (Au NR), which was then separated and enriched using the magnetic immune-separation process, followed by dehybridization and dispersion into a buffer solution and immobilization on glass slides for polarized dark-field microscopic imaging. With the imaging we can get the first three data sets of the Stokes vector, and the experimental degree of the linear polarization of the light scattered by the Au NR was obtained...
November 20, 2017: Applied Optics
https://www.readbyqxmd.com/read/29214199/dataset-of-near-infrared-spectroscopy-measurement-for-amylose-determination-using-pls-algorithms
#14
P Sampaio, A Soares, A Castanho, A S Almeida, J Oliveira, C Brites
In the dataset presented in this article, 168 rice samples comprising sixteen rice varieties (including Indica and Japonica sub species) from a Portuguese Rice Breeding Program obtained from three different sites along four seasons, and 11 standard rice varieties from International Rice Research Institute were characterised. The amylose concentration was evaluated based on iodine method, and the near infrared (NIR) spectra were determined. To assess the advantage of Near infrared spectroscopy, different rice varieties and specific algorithms based on Matlab software such as Standard Normal Variate (SNV), Multiple Scatter Calibration (MSC) and Savitzky-Golay filter were used for NIR spectra pre-processing...
December 2017: Data in Brief
https://www.readbyqxmd.com/read/29213188/a-novel-framework-for-intelligent-surveillance-system-based-on-abnormal-human-activity-detection-in-academic-environments
#15
Malek Al-Nawashi, Obaida M Al-Hazaimeh, Mohamad Saraee
Abnormal activity detection plays a crucial role in surveillance applications, and a surveillance system that can perform robustly in an academic environment has become an urgent need. In this paper, we propose a novel framework for an automatic real-time video-based surveillance system which can simultaneously perform the tracking, semantic scene learning, and abnormality detection in an academic environment. To develop our system, we have divided the work into three phases: preprocessing phase, abnormal human activity detection phase, and content-based image retrieval phase...
2017: Neural Computing & Applications
https://www.readbyqxmd.com/read/29211997/challenges-in-estimating-the-motility-parameters-of-single-processive-motor-proteins
#16
Felix Ruhnow, Linda Kloβ, Stefan Diez
Cytoskeletal motor proteins are essential to the function of a wide range of intracellular mechano-systems. The biophysical characterization of their movement along their filamentous tracks is therefore of large importance. Toward this end, single-molecule, in vitro stepping-motility assays are commonly used to determine motor velocity and run length. However, comparing results from such experiments has proved difficult due to influences from variations in the experimental conditions and the data analysis methods...
December 5, 2017: Biophysical Journal
https://www.readbyqxmd.com/read/29210935/performance-of-different-timed-up-and-go-subtasks-in-frailty-syndrome
#17
Juliana Hotta Ansai, Ana Claudia Silva Farche, Paulo Giusti Rossi, Larissa Pires de Andrade, Theresa Helissa Nakagawa, Anielle Cristhine de Medeiros Takahashi
BACKGROUND AND PURPOSE: Gait speed, mobility, and postural transitions should be taken into account in older adults with frailty syndrome and can be assessed by the Timed Up and Go (TUG) Test. However, it is unclear which TUG subtasks have greater influence in identifying frail people and whether prefrail individuals present with any reduced subtask performance. The objective of this study was to investigate the differences in performance of TUG subtasks between frail, prefrail, and nonfrail older adults...
November 28, 2017: Journal of Geriatric Physical Therapy
https://www.readbyqxmd.com/read/29206901/genssi-2-0-multi-experiment-structural-identifiability-analysis-of-sbml-models
#18
Thomas S Ligon, Fabian Fröhlich, Oana T Chi, Julio R Banga, Eva Balsa-Canto, Jan Hasenauer
Motivation: Mathematical modeling using ordinary differential equations (ODEs) is used in systems biology to improve the understanding of dynamic biological processes. The parameters of ODE models are usually estimated from experimental data. To analyze a priori the uniqueness of the solution of the estimation problem, structural identifiability analysis methods have been developed. Results: We introduce GenSSI 2.0, an advancement of the software toolbox GenSSI (Generating Series for testing Structural Identifiability)...
November 30, 2017: Bioinformatics
https://www.readbyqxmd.com/read/29204509/evaluation-of-semi-automatic-image-analysis-tools-for-cerebrospinal-fluid-electrophoresis-of-igg-oligoclonal-bands
#19
G Forzy, L Peyrodie, S Boudet, Z Wang, A Vinclair, V Chieux
Background: IgG concentrations in cerebrospinal fluid generally range from 20 to 45 mg/L. In multiple sclerosis immune reactions lead to intrathecal synthesis of specific IgGs that can be detected in biological fluid samples both quantitatively and qualitatively by isoelectric focusing of supplementary oligoclonal IgG bands. Method: A simple tool, using the MATLAB application, to facilitate and improve isoelectric focusing profile analysis is presented and evaluated in terms of its sensitivity, repeatability and reproducibility...
March 2018: Practical Laboratory Medicine
https://www.readbyqxmd.com/read/29204468/dataset-of-quantitative-spectral-eeg-of-different-stages-of-kindling-acquisition-in-rats
#20
Mostafa Jalilifar, Ali Yadollahpour
The data represented here are in relation with the manuscript "Quantitative assessments of extracellular EEG to classify specific features of main phases of seizure acquisition based on kindling model in Rat" (Jalilifar et al., 2017) [1] which quantitatively classified different main stages of the kindling process based on their electrophysiological characteristics using EEG signal processing. The data in the graphical form reported the contribution of different sub bands of EEG in different stages of kindling- induced epileptogenesis...
February 2018: Data in Brief
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