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https://www.readbyqxmd.com/read/28319760/improved-prediction-of-higher-heating-value-of-biomass-using-an-artificial-neural-network-model-based-on-proximate-analysis
#1
Harun Uzun, Zeynep Yıldız, Jillian L Goldfarb, Selim Ceylan
As biomass becomes more integrated into our energy feedstocks, the ability to predict its combustion enthalpies from routine data such as carbon, ash, and moisture content enables rapid decisions about utilization. The present work constructs a novel artificial neural network model with a 3-3-1 tangent sigmoid architecture to predict biomasses' higher heating values from only their proximate analyses, requiring minimal specificity as compared to models based on elemental composition. The model presented has a considerably higher correlation coefficient (0...
March 9, 2017: Bioresource Technology
https://www.readbyqxmd.com/read/28319455/joint-model-imputation-to-estimate-the-treatment-effect-on-long-term-survival-using-auxiliary-events
#2
Audrey Mauguen, Stefan Michiels, Virginie Rondeau
Clinical trial duration may be a concern in clinical research, especially in cancer trials where the endpoint is overall survival. A surrogate endpoint can be used as an auxiliary variable to analyze the treatment effect earlier. At an early time point, the high number of censored observations can be compensated by the imputation of the unobserved deaths times. We propose to use predictions of the risk of death from a joint model for a recurrent event and a terminal event, which account for disease relapse information...
February 16, 2017: Journal of Biopharmaceutical Statistics
https://www.readbyqxmd.com/read/28319386/determination-of-the-cu-iii-oh-bond-distance-by-resonance-raman-spectroscopy-using-a-normalized-version-of-badger-s-rule
#3
Andrew D Spaeth, Nicole L Gagnon, Debanjan Dhar, Gereon M Yee, William B Tolman
The stretching frequency, ν(Cu-O), of the [CuOH](2+) core in the complexes LCuOH (L = N,N'-bis(2,6-diisopropyl-4-R-phenyl)pyridine-2,6-dicarboxamide, R = H or NO2, or N,N'-bis(2,6-diisopropylphenyl)-1-methylpiperidine-2,6-dicarboxamide) was determined to be ∼630 cm(-1) by resonance Raman spectroscopy and verified by isotopic labeling. In efforts to use Badger's rule to estimate the bond distance corresponding to ν(Cu-O), a modified version of the rule was developed through use of stretching frequencies normalized by dividing by the appropriate reduced masses...
March 20, 2017: Journal of the American Chemical Society
https://www.readbyqxmd.com/read/28318923/treatment-outcome-in-orthognathic-surgery-a-prospective-comparison-of-accuracy-in-computer-assisted-two-and-three-dimensional-prediction-techniques
#4
Martin Bengtsson, Gert Wall, Patricia Miranda-Burgos, Lars Rasmusson
The main objective of the present study was to assess the accuracy of two- and three-dimensional prediction techniques in orthognathic surgery. It was also a test of the very planning sequence. The scientific question was how well does the software support the surgeon in his way to find the perfect correction of the facial appearance while normalizing the occlusion? Thirty patients with a class III occlusion were included in this prospective study. Surgical planning with both techniques were undertaken for all patients...
February 13, 2017: Journal of Cranio-maxillo-facial Surgery
https://www.readbyqxmd.com/read/28318505/machine-learning-in-the-prediction-of-cardiac-epicardial-and-mediastinal-fat-volumes
#5
É O Rodrigues, V H A Pinheiro, P Liatsis, A Conci
We propose a methodology to predict the cardiac epicardial and mediastinal fat volumes in computed tomography images using regression algorithms. The obtained results indicate that it is feasible to predict these fats with a high degree of correlation, thus alleviating the requirement for manual or automatic segmentation of both fat volumes. Instead, segmenting just one of them suffices, while the volume of the other may be predicted fairly precisely. The correlation coefficient obtained by the Rotation Forest algorithm using MLP Regressor for predicting the mediastinal fat based on the epicardial fat was 0...
February 24, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28317981/in-search-of-the-best-dft-functional-for-dealing-with-organic-anionic-species
#6
José L Borioni, Marcelo Puiatti, D Mariano A Vera, Adriana B Pierini
Quantum chemical computational methods are thought to have problems in dealing with unstable organic anions. This work assesses the ability of different Density Functional Theory (DFT) functionals to reproduce the electron affinity and reduction potential of organic compounds. The performance of 23 DFT functionals was evaluated by computing the negative electron affinities (from 0 eV to -3.0 eV) and reduction potentials in acetonitrile (from 0 to -2.7 V). In general, most of the hybrid GGA functionals work fine in the prediction of electron affinities, BPW91, B3PW91 and M06 being the best in each class of functionals (pure, hybrid and meta-GGA functionals, respectively)...
March 20, 2017: Physical Chemistry Chemical Physics: PCCP
https://www.readbyqxmd.com/read/28317125/referenceless-magnetic-resonance-temperature-imaging-using-gaussian-process-modeling
#7
Joshua P Yung, David Fuentes, Christopher J MacLellan, Florian Maier, Yannis Liapis, John D Hazle, R Jason Stafford
PURPOSE: During magnetic resonance (MR)-guided thermal therapies, water proton resonance frequency shift (PRFS) based MR temperature imaging can quantitatively monitor tissue temperature changes. It is widely known that the PRFS technique is easily perturbed by tissue motion, tissue susceptibility changes, magnetic field drift, and modality-dependent applicator induced artifacts. Here a referenceless Gaussian process modeling (GPM) based estimation of the PRFS is investigated as a methodology to mitigate unwanted background field changes...
March 20, 2017: Medical Physics
https://www.readbyqxmd.com/read/28317010/statistical-downscaling-for-rainfall-forecasts-using-modified-constructed-analog-method-in-thailand
#8
Patchalai Anuchaivong, Dusadee Sukawat, Anirut Luadsong
The simulations of rainfall from historical data were created in this study by using statistical downscaling. Statistical downscaling techniques are based on a relationship between the variables that are solved by the General Circulation Models (GCMs) and the observed predictions. The Modified Constructed Analog Method (MCAM) is a technique in downscaling estimation, suitable for rainfall simulation accuracy using weather forecasting. In this research, the MCAM was used to calculate the Euclidean distance to obtain the number of analog days...
2017: TheScientificWorldJournal
https://www.readbyqxmd.com/read/28316873/nonholonomic-closed-loop-velocity-control-of-a-soft-tethered-magnetic-capsule-endoscope
#9
Addisu Z Taddese, Piotr R Slawinski, Keith L Obstein, Pietro Valdastri
In this paper, we demonstrate velocity-level closed-loop control of a tethered magnetic capsule endoscope that is actuated via serial manipulator with a permanent magnet at its end-effector. Closed-loop control (2 degrees-of-freedom in position, and 2 in orientation) is made possible with the use of a real-time magnetic localization algorithm that utilizes the actuating magnetic field and thus does not require additional hardware. Velocity control is implemented to create smooth motion that is clinically necessary for colorectal cancer diagnostics...
October 2016: Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems
https://www.readbyqxmd.com/read/28306610/30-day-potentially-avoidable-readmissions-due-to-adverse-drug-events
#10
Olivia Dalleur, Patrick E Beeler, Jeffrey L Schnipper, Jacques Donzé
OBJECTIVE: To analyze the patterns of potentially avoidable readmissions due to adverse drug events (ADEs) to identify the most appropriate risk reduction interventions. METHODS: In this observational study, we analyzed a random sample of 534 potentially avoidable 30-day readmissions from 10,275 consecutive discharges from the medical department of an academic hospital. Readmissions due to ADEs were reviewed to identify the causative drugs and the severity and interventions to prevent them...
March 17, 2017: Journal of Patient Safety
https://www.readbyqxmd.com/read/28306552/precise-determination-of-the-heat-delivery-during-in-vivo-magnetic-nanoparticle-hyperthermia-with-infrared-thermography
#11
Harley Rodrigues, Gustavo Capistrano, Francyelli Mello, Nicholas Zufelato, Elisangela Silveira-Lacerda, Andris F Bakuzis
Monitoring noninvasively and in real-time the heat delivery during magnetic nanoparticle hyperthermia is of fundamental importance to predict clinical outcome for cancer treatment. Infrared thermography (IRT) can inform the surface temperature due to three-dimensional heat delivery inside a subcutaneous tumor, an argument that is supported by numerical simulations. However, for precise temperature determination, it is of crucial relevance to use a correct experimental configuration. This work reports a magnetic nanoparticle hyperthermia study (MNH) using a sarcoma 180 murine tumor containing 3...
March 17, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28306546/substitute-ct-generation-from-a-single-ultra-short-time-echo-mri-sequence-preliminary-study
#12
Soumya Ghose, Jason A Dowling, Robba Rai, Gary P Liney
In MR guided radiation therapy planning both MR and CT images for a patient are acquired and co-registered to obtain a tissue specific HU map. Generation of the HU map directly from the MRI would eliminate the CT acquisition and may improve radiation therapy planning. In this preliminary study of substitute CT (sCT) generation, two porcine leg phantoms were scanned using a 3D ultrashort echo time (PETRA) sequence and co-registered to corresponding CT images to build tissue specific regression models. The model was created from one co-registered CT-PETRA pair to generate the sCT for the other PETRA image...
March 17, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28304378/generating-highly-accurate-prediction-hypotheses-through-collaborative-ensemble-learning
#13
Nino Arsov, Martin Pavlovski, Lasko Basnarkov, Ljupco Kocarev
Ensemble generation is a natural and convenient way of achieving better generalization performance of learning algorithms by gathering their predictive capabilities. Here, we nurture the idea of ensemble-based learning by combining bagging and boosting for the purpose of binary classification. Since the former improves stability through variance reduction, while the latter ameliorates overfitting, the outcome of a multi-model that combines both strives toward a comprehensive net-balancing of the bias-variance trade-off...
March 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28303586/estimation-of-treatment-effect-in-two-stage-confirmatory-oncology-trials-of-personalized-medicines
#14
Wen Li, Cong Chen, Xiaoyun Li, Robert A Beckman
A personalized medicine may benefit a subpopulation with certain predictive biomarker signatures or certain disease types. However, there is great uncertainty about drug activity in a subpopulation when designing a confirmatory trial in practice, and it is logical to take a two-stage approach with the study unless credible external information is available for decision-making purpose. The first stage deselects (or prunes) non-performing subpopulations at an interim analysis, and the second stage pools the remaining subpopulations in the final analysis...
March 17, 2017: Statistics in Medicine
https://www.readbyqxmd.com/read/28303211/real-time-three-dimensional-echocardiography-characterization-of-cardiac-anatomy-and-function-current-clinical-applications-and-literature-review-update
#15
REVIEW
Omar Velasco, Morgan Q Beckett, Aaron W James, Megan N Loehr, Taylor G Lewis, Tahmin Hassan, Rajesh Janardhanan
Our review of real-time three-dimensional echocardiography (RT3DE) discusses the diagnostic utility of RT3DE and provides a comparison with two-dimensional echocardiography (2DE) in clinical cardiology. A Pubmed literature search on RT3DE was performed using the following key words: transthoracic, two-dimensional, three-dimensional, real-time, and left ventricular (LV) function. Articles included perspective clinical studies and meta-analyses in the English language, and focused on the role of RT3DE in human subjects...
2017: BioResearch Open Access
https://www.readbyqxmd.com/read/28302456/association-between-modified-shuttle-walk-test-and-cardiorespiratory-fitness-in-overweight-obese-adults-with-primary-hypertension-exerdiet-hta-study
#16
Borja Jurio-Iriarte, Ilargi Gorostegi-Anduaga, G Rodrigo Aispuru, Javier Pérez-Asenjo, Peter H Brubaker, Sara Maldonado-Martín
The aims of the study were to evaluate the relationship between Modified Shuttle Walk Test (MSWT) with peak oxygen uptake (V˙O2peak) in overweight/obese people with primary hypertension (HTN) and to develop an equation for the MSWT to predict V˙O2peak. Participants (N = 256, 53.9 ± 8.1 years old) with HTN and overweight/obesity performed a cardiorespiratory exercise test to peak exertion on an upright bicycle ergometer using an incremental ramp protocol and the 15-level MSWT. The formula of Singh et al was used as a template to predict V˙O2peak, and a new equation was generated from the measured V˙O2peak-MSWT relationship in this investigation...
February 7, 2017: Journal of the American Society of Hypertension: JASH
https://www.readbyqxmd.com/read/28302018/harmony-search-as-a-powerful-tool-for-feature-selection-in-qspr-study-of-the-drugs-lipophilicity
#17
Behnoosh Bahadori, Morteza Atabati
Lipophilicity represents one of the most studied and most frequently used fundamental physicochemical properties. In the present work harmony search (HS) algorithm is suggested to feature selection in quantitative structure-property relationship (QSPR) modeling to predict lipophilicity of neutral, acidic, basic and amphotheric drugs that were determined by UHPLC. Harmony search is a music-based metaheuristic optimization algorithm. It was affected by the observation that the aim of music is to search for a perfect state of harmony...
March 15, 2017: Combinatorial Chemistry & High Throughput Screening
https://www.readbyqxmd.com/read/28301764/reward-processing-neuroeconomics-and-psychopathology
#18
David H Zald, Michael T Treadway
Abnormal reward processing is a prominent transdiagnostic feature of psychopathology. The present review provides a framework for considering the different aspects of reward processing and their assessment, and highlights recent insights from the field of neuroeconomics that may aid in understanding these processes. Although altered reward processing in psychopathology has often been treated as a general hypo- or hyperresponsivity to reward, increasing data indicate that a comprehensive understanding of reward dysfunction requires characterization within more specific reward-processing domains, including subjective valuation, discounting, hedonics, reward anticipation and facilitation, and reinforcement learning...
March 15, 2017: Annual Review of Clinical Psychology
https://www.readbyqxmd.com/read/28301512/adaptation-to-random-and-systematic-errors-comparison-of-amputee-and-non-amputee-control-interfaces-with-varying-levels-of-process-noise
#19
Reva E Johnson, Konrad P Kording, Levi J Hargrove, Jonathon W Sensinger
The objective of this study was to understand how people adapt to errors when using a myoelectric control interface. We compared adaptation across 1) non-amputee subjects using joint angle, joint torque, and myoelectric control interfaces, and 2) amputee subjects using myoelectric control interfaces with residual and intact limbs (five total control interface conditions). We measured trial-by-trial adaptation to self-generated errors and random perturbations during a virtual, single degree-of-freedom task with two levels of feedback uncertainty, and evaluated adaptation by fitting a hierarchical Kalman filter model...
2017: PloS One
https://www.readbyqxmd.com/read/28301193/an-illustration-of-the-effects-of-fluctuations-in-test-information-on-measurement-error-the-attenuation-of-effect-sizes-and-diagnostic-reliability
#20
Brian P O'Connor
Measurement precision often fluctuates across latent trait continuums. Plots of test information are typically provided in item response theory (IRT) investigations, but the numerical values for test information are not readily interpretable. This article draws attention to the important, nonlinear relationships between test information, location-specific standard errors of measurement, and location-specific reliability. It provides a method for examining the attenuation in effect sizes (correlations) that is caused by fluctuating levels of measurement error...
March 16, 2017: Psychological Assessment
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