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https://www.readbyqxmd.com/read/28641890/a-comparative-research-of-different-ensemble-surrogate-models-based-on-set-pair-analysis-for-the-dnapl-contaminated-aquifer-remediation-strategy-optimization
#1
Zeyu Hou, Wenxi Lu, Haibo Xue, Jin Lin
Surrogate-based simulation-optimization technique is an effective approach for optimizing the surfactant enhanced aquifer remediation (SEAR) strategy for clearing DNAPLs. The performance of the surrogate model, which is used to replace the simulation model for the aim of reducing computation burden, is the key of corresponding researches. However, previous researches are generally based on a stand-alone surrogate model, and rarely make efforts to improve the approximation accuracy of the surrogate model to the simulation model sufficiently by combining various methods...
June 15, 2017: Journal of Contaminant Hydrology
https://www.readbyqxmd.com/read/28640401/two-stage-approach-for-risk-estimation-of-fetal-trisomy-21-and-other-aneuploidies-using-computational-intelligence-systems
#2
A C Neocleous, A Syngelaki, K H Nicolaides, C N Schizas
OBJECTIVE: To estimate the risk for fetal trisomy 21 (T21) and other chromosomal abnormalities at 11-13 week's gestation using computational intelligence classification methods. METHODS: As a first step, we train the artificial neural networks with 72054 euploid pregnancies, 295 cases of T21 and 305 of other chromosomal abnormalities (OCA). Then, we sort the cases into two categories of "no-risk" and "risk". The cases of "no-risk" are no further examined, while the cases with "risk" are forwarded in Stage 2 for further examination where we classify them in three types of risk, namely "no-risk", "moderate-risk" and "high-risk"...
June 22, 2017: Ultrasound in Obstetrics & Gynecology
https://www.readbyqxmd.com/read/28635678/evaluation-of-classifier-performance-for-multiclass-phenotype-discrimination-in-untargeted-metabolomics
#3
Patrick J Trainor, Andrew P DeFilippis, Shesh N Rai
Statistical classification is a critical component of utilizing metabolomics data for examining the molecular determinants of phenotypes. Despite this, a comprehensive and rigorous evaluation of the accuracy of classification techniques for phenotype discrimination given metabolomics data has not been conducted. We conducted such an evaluation using both simulated and real metabolomics datasets, comparing Partial Least Squares-Discriminant Analysis (PLS-DA), Sparse PLS-DA, Random Forests, Support Vector Machines (SVM), Artificial Neural Network, k-Nearest Neighbors (k-NN), and Naïve Bayes classification techniques for discrimination...
June 21, 2017: Metabolites
https://www.readbyqxmd.com/read/28635625/soil-moisture-content-estimation-based-on-sentinel-1-and-auxiliary-earth-observation-products-a-hydrological-approach
#4
Dimitrios D Alexakis, Filippos-Dimitrios K Mexis, Anthi-Eirini K Vozinaki, Ioannis N Daliakopoulos, Ioannis K Tsanis
A methodology for elaborating multi-temporal Sentinel-1 and Landsat 8 satellite images for estimating topsoil Soil Moisture Content (SMC) to support hydrological simulation studies is proposed. After pre-processing the remote sensing data, backscattering coefficient, Normalized Difference Vegetation Index (NDVI), thermal infrared temperature and incidence angle parameters are assessed for their potential to infer ground measurements of SMC, collected at the top 5 cm. A non-linear approach using Artificial Neural Networks (ANNs) is tested...
June 21, 2017: Sensors
https://www.readbyqxmd.com/read/28633707/qualitative-analysis-of-biological-tuberculosis-samples-by-an-electronic-nose-based-artificial-neural-network
#5
E I Mohamed, M A Mohamed, M H Moustafa, S M Abdel-Mageed, A M Moro, A I Baess, S M El-Kholy
OBJECTIVE: To apply an e-nose system for monitoring headspace volatiles in biological samples from Egyptian patients with active pulmonary tuberculosis (TB) and healthy controls (HCs) and compare them with standard sputum analysis. DESIGN: The study population comprised 260 (140 males, 120 females) newly diagnosed TB patients and 240 (120 males, 120 females) HCs matched by age and socio-economic level admitted to hospitals specialising in chest diseases in Alexandria, Behera, Giza and Damietta Governorates, Egypt...
July 1, 2017: International Journal of Tuberculosis and Lung Disease
https://www.readbyqxmd.com/read/28633164/ann-prediction-of-ligament-stiffnesses-for-the-enhanced-predictive-ability-of-a-patient-specific-computational-foot-ankle-model
#6
Ruchi Chande, Jennifer S Wayne
Computational models of diarthrodial joints serve to inform the biomechanical function of these structures, and as such, must be supplied appropriate inputs for performance that is representative of actual joint function. Inputs for these models are sourced from both imaging modalities as well as literature. The latter is often the source of mechanical properties for soft tissues, like ligament stiffnesses; however, such data is not always available for all soft tissues nor is it known for patient specific work...
June 20, 2017: Journal of Biomechanical Engineering
https://www.readbyqxmd.com/read/28630880/prominent-lateral-spread-of-imaged-evoked-activity-beyond-cortical-columns-in-barrel-cortex-provides-foundation-for-coding-whisker-identity
#7
Nathan S Jacobs, Ron D Frostig
The posterior medial barrel subfield (PMBSF) of a rat primary somatosensory cortex exquisitely demonstrates topography and columnar organization, defining features of sensory cortices in the mammalian brain. Optical imaging and neuronal recordings in rat PMBSF demonstrate how evoked cortical activity following single whisker stimulation also rapidly spreads laterally into surrounding cortices, disregarding columnar and modality boundaries. The current study quantifies the spatial prominence of such lateral activity spreads by demonstrating that functional connectivity between laterally spaced cortical locations is actually stronger than between vertically spaced cortical locations...
July 2017: Neurophotonics
https://www.readbyqxmd.com/read/28628604/correlations-of-complete-blood-count-with-alanine-and-aspartate-transaminase-in-chinese-subjects-and-prediction-based-on-back-propagation-artificial-neural-network-bp-ann
#8
Jiong Yu, Qiaoling Pan, Jinfeng Yang, Chengxing Zhu, Linfeng Jin, Guangshu Hao, Xiaowei Shi, Hongcui Cao, Feiyan Lin
BACKGROUND The complete blood count (CBC) is the most common examination used to monitor overall health in clinical practice. Whether there is a relationship between CBC indexes and alanine transaminase (ALT) and aspartate aminotransferase (AST) has been unclear. MATERIAL AND METHODS In this study, 572 normal-weight and 346 overweight Chinese subjects were recruited. The relationship between CBC indexes with ALT and AST were analyzed by Pearson and Spearman correlations according to their sex, then we conducted colinearity diagnostics and multiple linear regression (MLR) analysis...
June 19, 2017: Medical Science Monitor: International Medical Journal of Experimental and Clinical Research
https://www.readbyqxmd.com/read/28628163/-quantitative-structure-activity-relationship-model-for-prediction-of-cardiotoxicity-of-chemical-components-in-traditional-chinese-medicines
#9
(no author information available yet)
OBJECTIVE: Some quantitative structure-activity relationship (QSAR) models have been developed to predict cardiac toxicity of drugs, which have limited predictive power due to based on hERG channel inhibition. The objective of this study was try to develop a QSAR model based on all kinds of cardiac adverse effects, and to predict the potential cardiotoxicity of chemical components in traditional Chinese medicines (TCM). METHODS: In this study, the compounds data of all kinds of cardiac adverse reactions were selected as the training set...
June 18, 2017: Beijing da Xue Xue Bao. Yi Xue Ban, Journal of Peking University. Health Sciences
https://www.readbyqxmd.com/read/28626972/nirca-an-artificial-neural-network-based-insulin-resistance-calculator
#10
Konrad Stawiski, Iwona Pietrzak, Wojciech Młynarski, Wojciech Fendler, Agnieszka Szadkowska
BACKGROUND: Direct measurement of insulin sensitivity in children with type 1 diabetes is cumbersome and time consuming. OBJECTIVE: The aim of our study was to develop novel, accurate machine learning-based methods of insulin resistance estimation in children with type 1 diabetes. METHODS: A hyperinsulinemic hyperglycemic clamp study was performed to evaluate the glucose disposal rate (GDR) in a study group consisting of 315 patients aged 7...
June 19, 2017: Pediatric Diabetes
https://www.readbyqxmd.com/read/28618828/pavement-type-and-wear-condition-classification-from-tire-cavity-acoustic-measurements-with-artificial-neural-networks
#11
Johannes Masino, Michael-Jan Foitzik, Michael Frey, Frank Gauterin
Tire road noise is the major contributor to traffic noise, which leads to general annoyance, speech interference, and sleep disturbances. Standardized methods to measure tire road noise are expensive, sophisticated to use, and they cannot be applied comprehensively. This paper presents a method to automatically classify different types of pavement and the wear condition to identify noisy road surfaces. The methods are based on spectra of time series data of the tire cavity sound, acquired under normal vehicle operation...
June 2017: Journal of the Acoustical Society of America
https://www.readbyqxmd.com/read/28613390/autoihc-scoring-a-machine-learning-framework-for-automated-allred-scoring-of-molecular-expression-in-er-and-pr-stained-breast-cancer-tissue
#12
S Tewary, I Arun, R Ahmed, S Chatterjee, C Chakraborty
In prognostic evaluation of breast cancer Immunohistochemical (IHC) markers namely, oestrogen receptor (ER) and progesterone receptor (PR) are widely used. The expert pathologist investigates qualitatively the stained tissue slide under microscope to provide the Allred score; which is clinically used for therapeutic decision making. Such qualitative judgment is time-consuming, tedious and more often suffers from interobserver variability. As a result, it leads to imprecise IHC score for ER and PR. To overcome this, there is an urgent need of developing a reliable and efficient IHC quantifier for high throughput decision making...
June 14, 2017: Journal of Microscopy
https://www.readbyqxmd.com/read/28612121/estimation-of-respiratory-volume-from-thoracoabdominal-breathing-distances-comparison-of-two-models-of-machine-learning
#13
Rémy Dumond, Steven Gastinger, Hala Abdul Rahman, Alexis Le Faucheur, Patrice Quinton, Haitao Kang, Jacques Prioux
PURPOSE: The purposes of this study were to both improve the accuracy of respiratory volume (V) estimates using the respiratory magnetometer plethysmography (RMP) technique and facilitate the use of this technique. METHOD: We compared two models of machine learning (ML) for estimating [Formula: see text]: a linear model (multiple linear regression-MLR) and a nonlinear model (artificial neural network-ANN), and we used cross-validation to validate these models. Fourteen healthy adults, aged [Formula: see text] years participated in the present study...
June 13, 2017: European Journal of Applied Physiology
https://www.readbyqxmd.com/read/28611573/simultaneous-and-continuous-estimation-of-shoulder-and-elbow-kinematics-from-surface-emg-signals
#14
Qin Zhang, Runfeng Liu, Wenbin Chen, Caihua Xiong
In this paper, we present a simultaneous and continuous kinematics estimation method for multiple DoFs across shoulder and elbow joint. Although simultaneous and continuous kinematics estimation from surface electromyography (EMG) is a feasible way to achieve natural and intuitive human-machine interaction, few works investigated multi-DoF estimation across the significant joints of upper limb, shoulder and elbow joints. This paper evaluates the feasibility to estimate 4-DoF kinematics at shoulder and elbow during coordinated arm movements...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28610432/qsar-model-for-prediction-of-the-therapeutic-potency-of-n-benzylpiperidine-derivatives-as-ache-inhibitors
#15
S Bitam, M Hamadache, S Hanini
A new family of AChE inhibitors, N-benzylpiperidines, showed exceptional efficacy in vitro and in vivo, minimal side effects and high selectivity for acetylcholinesterase (AChE). Three regression methods were chosen in this work to develop robust predictive models, namely multiple linear regression (MLR), genetic function approximation (GFA) and multilayer perceptron network (MLP). Ten descriptors were selected for a dataset of 99 molecules, using a genetic algorithm. The best results were obtained for MLP with a 10-6-1 artificial neural network model trained with the Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm...
June 14, 2017: SAR and QSAR in Environmental Research
https://www.readbyqxmd.com/read/28604582/prediction-of-driver-s-intention-of-lane-change-by-augmenting-sensor-information-using-machine-learning-techniques
#16
Il-Hwan Kim, Jae-Hwan Bong, Jooyoung Park, Shinsuk Park
Driver assistance systems have become a major safety feature of modern passenger vehicles. The advanced driver assistance system (ADAS) is one of the active safety systems to improve the vehicle control performance and, thus, the safety of the driver and the passengers. To use the ADAS for lane change control, rapid and correct detection of the driver's intention is essential. This study proposes a novel preprocessing algorithm for the ADAS to improve the accuracy in classifying the driver's intention for lane change by augmenting basic measurements from conventional on-board sensors...
June 10, 2017: Sensors
https://www.readbyqxmd.com/read/28603295/unsupervised-classification-of-petroleum-certified-reference-materials-and-other-fuels-by-chemometric-analysis-of-gas-chromatography-mass-spectrometry-data
#17
Werickson Fortunato de Carvalho Rocha, Michele M Schantz, David A Sheen, Pamela M Chu, Katrice A Lippa
As feedstocks transition from conventional oil to unconventional petroleum sources and biomass, it will be necessary to determine whether a particular fuel or fuel blend is suitable for use in engines. Certifying a fuel as safe for use is time-consuming and expensive and must be performed for each new fuel. In principle, suitability of a fuel should be completely determined by its chemical composition. This composition can be probed through use of detailed analytical techniques such as gas chromatography-mass spectroscopy (GC-MS)...
June 1, 2017: Fuel
https://www.readbyqxmd.com/read/28599224/pretreatment-optimization-process-control-mass-and-energy-balances-and-economics-of-anaerobic-co-digestion-of-arachis-hypogaea-peanut-hull-and-poultry-manure
#18
S O Dahunsi, S Oranusi, V E Efeovbokhan
The study explored biogas production from the co-digestion of Arachis hypogaea hull and poultry droppings. Mechanical and thermo-alkaline pretreatments were applied to a sample of the mixture. Another sample was treated mechanically but without thermo-alkaline methods. Optimization was done using the Response Surface Methodology (RSM) and the Artificial Neural Networks (ANNs). The optimal values for each of the five major parameters optimized are Temperature of 32.00°C, pH of 7.62, Retention time of 30.00 day, Total solids of 12...
May 29, 2017: Bioresource Technology
https://www.readbyqxmd.com/read/28598400/feed-forward-neural-network-prediction-of-the-mechanical-properties-of-sandcrete-materials
#19
Panagiotis G Asteris, Panayiotis C Roussis, Maria G Douvika
This work presents a soft-sensor approach for estimating critical mechanical properties of sandcrete materials. Feed-forward (FF) artificial neural network (ANN) models are employed for building soft-sensors able to predict the 28-day compressive strength and the modulus of elasticity of sandcrete materials. To this end, a new normalization technique for the pre-processing of data is proposed. The comparison of the derived results with the available experimental data demonstrates the capability of FF ANNs to predict with pinpoint accuracy the mechanical properties of sandcrete materials...
June 9, 2017: Sensors
https://www.readbyqxmd.com/read/28598199/phytoremediation-of-domestic-wastewater-using-a-hybrid-constructed-wetlands-in-mountainous-rural-area
#20
Saloua Elfanssi, Naaila Ouazzani, Lahbib Latrach, Abdessamed Hejjaj, Laila Mandi
The purpose of this study is to evaluate the efficiency of a hybrid constructed wetlands (HCW) in a rural mountainous area. The experiment was set up in small rural community named Tidili within the region of Marrakech-Morocco. The wastewater treatment plant was composed of three vertical flow constructed wetlands (VFCWs) working in parallel, followed by two parallel horizontal-subsurface flow constructed wetlands (HFCWs), with hydraulic loading rate of 0.5 m(3)/ m(2).d and 0.75 m(3)/m(2).d, respectively...
June 9, 2017: International Journal of Phytoremediation
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