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https://www.readbyqxmd.com/read/28646819/invisalign-with-photobiomodulation-optimizing-tooth-movement-and-treatment-efficacy-with-a-novel-self-assessment-algorithm
#1
Todd E Dickerson
No abstract text is available yet for this article.
March 2017: Journal of Clinical Orthodontics: JCO
https://www.readbyqxmd.com/read/28646763/deep-neural-mapping-support-vector-machines
#2
Yujian Li, Ting Zhang
The choice of kernel has an important effect on the performance of a support vector machine (SVM). The effect could be reduced by NEUROSVM, an architecture using multilayer perceptron for feature extraction and SVM for classification. In binary classification, a general linear kernel NEUROSVM can be theoretically simplified as an input layer, many hidden layers, and an SVM output layer. As a feature extractor, the sub-network composed of the input and hidden layers is first trained together with a virtual ordinary output layer by backpropagation, then with the output of its last hidden layer taken as input of the SVM classifier for further training separately...
June 21, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28646694/elimination-of-signals-tilting-caused-by-b0-field-inhomogeneity-using-2d-lineshape-reference-deconvolution
#3
Kirill F Sheberstov, Dmitry O Sinitsyn, Dmitry A Cheshkov, Damien Jeannerat
An efficient approach for reference deconvolution of two-dimensional spectra aiming at the correction of static field inhomogeneity was established. In comparison to known techniques, a great improvement was achieved using the cross-section along the diagonal of the reference peak instead of its full 2D line shape. The method is termed pseudo-2D diagonal deconvolution. The approach developed allows suppressing the two-dimensional peaks tilting caused by the magnetic field inhomogeneity, while keeping the signal-to-noise ratio constant...
June 8, 2017: Journal of Magnetic Resonance
https://www.readbyqxmd.com/read/28646674/a-multimodal-spatiotemporal-cardiac-motion-atlas-from-mr-and-ultrasound-data
#4
Esther Puyol-Antón, Matthew Sinclair, Bernhard Gerber, Mihaela Silvia Amzulescu, Hélène Langet, Mathieu De Craene, Paul Aljabar, Paolo Piro, Andrew P King
Cardiac motion atlases provide a space of reference in which the motions of a cohort of subjects can be directly compared. Motion atlases can be used to learn descriptors that are linked to different pathologies and which can subsequently be used for diagnosis. To date, all such atlases have been formed and applied using data from the same modality. In this work we propose a framework to build a multimodal cardiac motion atlas from 3D magnetic resonance (MR) and 3D ultrasound (US) data. Such an atlas will benefit from the complementary motion features derived from the two modalities, and furthermore, it could be applied in clinics to detect cardiovascular disease using US data alone...
June 13, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28646619/early-insights-into-zika-s-microcephaly-physiopathology-from-the-epicentre-of-the-outbreak-teratogenic-apoptosis-on-the-central-nervous-system
#5
Patricia Jungmann, Pedro Pires, Edward Araujo
Foetal infection by the Zika virus has been implicated in the exceptional rise in the number of mycrocephalic newborns recorded by the end of 2015 in Brazil. The mechanism by which this teratogenic effect is produced in the developing brain has not been entirely established. Very early in the outbreak, we addressed this question by evaluating available initial data from a gestational and post-natal clinical investigation in the Brazilian state of Pernambuco. The present study was undertaken to test the hypothesis that the subtractive dysmorphic brain malformations observed in Zika's microcephaly are primarily due to the massive induction of apoptosis of neuroprogenitor cells...
June 24, 2017: Acta Obstetricia et Gynecologica Scandinavica
https://www.readbyqxmd.com/read/28646593/mri-assisted-dual-motion-correction-for-myocardial-perfusion-defect-detection-in-pet-imaging
#6
Xinhui Wang, Arman Rahmim, Jing Tang
PURPOSE: Myocardial perfusion (MP) PET imaging is a powerful tool in risk assess-assessment and stratification of patients with coronary artery disease. Involuntary organmotion degrades cardiac PET image resolution while respiratory and/or cardiac gating to freeze the motion leads to noisier reconstructed images due to reduced counts in the gated frames. In this work, we propose an MRI assisted dual motion correction method to compensate for respiratory and cardiac motion in MP PET data and study the impact of dual motion correction on MP defect detection using systematically designed experiments...
June 24, 2017: Medical Physics
https://www.readbyqxmd.com/read/28646515/alcohol-abstinence-in-patients-surviving-an-episode-of-alcoholic-hepatitis-prediction-and-impact-on-long-term-survival
#7
José Altamirano, Hugo López-Pelayo, Javier Michelena, Patricia D Jones, Lluisa Ortega, Pere Ginès, Juan Caballería, Antoni Gual, Ramón Bataller, Anna Lligoña
Alcoholic hepatitis (AH) is the most severe form of alcoholic liver disease. Most studies have focused on short-term prognosis, while factors associated with long-term survival are largely unknown. THE AIMS OF OUR STUDY WERE: 1) to determine the impact of complete abstinence from alcohol on long-term survival and 2) to identify prognostic factors at admission capable of predicting abstinence during long-term follow-up in patients with AH. One hundred and forty-two patients with biopsy-proven AH that survived the first episode were included...
June 23, 2017: Hepatology: Official Journal of the American Association for the Study of Liver Diseases
https://www.readbyqxmd.com/read/28646506/three-lessons-for-genetic-toxicology-from-baseball-analytics
#8
EDITORIAL
Stephen D Dertinger
In many respects the evolution of baseball statistics mirrors advances made in the field of genetic toxicology. From its inception, baseball and statistics have been inextricably linked. Generations of players and fans have used a number of relatively simple measurements to describe team and individual player's current performance, as well as for historical record-keeping purposes. Over the years, baseball analytics has progressed in several important ways. Early advances were based on deriving more meaningful metrics from simpler forerunners...
June 24, 2017: Environmental and Molecular Mutagenesis
https://www.readbyqxmd.com/read/28646403/routine-ct-angiography-to-detect-severe-coronary-artery-disease-prior-to-transcatheter-aortic-valve-replacement
#9
S Chava, G Gentchos, A Abernethy, B Leavitt, E Terrien, H L Dauerman
Patients undergoing TAVR undergo routine CT angiography (CTA) to assess aorto-iliac pathology and annular dimensions. While coronary CTA may exclude severe CAD in younger patients, its efficacy in defining CAD severity prior to TAVR may be limited. We retrospectively studied 50 consecutive patients undergoing both invasive coronary angiography (ICA) and routine pre-TAVR CTA. Severe CAD was defined as ≥50% stenosis by quantitative coronary angiography and compared to a blinded CTA visual estimation of ≥50% stenosis...
June 23, 2017: Journal of Thrombosis and Thrombolysis
https://www.readbyqxmd.com/read/28646307/a-step-by-step-selection-method-for-the-location-and-the-size-of-a-waste-to-energy-facility-targeting-the-maximum-output-energy-and-minimization-of-gate-fee
#10
Efstathios Kyriakis, Constantinos Psomopoulos, Panagiotis Kokkotis, Athanasios Bourtsalas, Nikolaos Themelis
This study attempts the development of an algorithm in order to present a step by step selection method for the location and the size of a waste-to-energy facility targeting the maximum output energy, also considering the basic obstacle which is in many cases, the gate fee. Various parameters identified and evaluated in order to formulate the proposed decision making method in the form of an algorithm. The principle simulation input is the amount of municipal solid wastes (MSW) available for incineration and along with its net calorific value are the most important factors for the feasibility of the plant...
June 23, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28646301/random-initialisation-of-the-spectral-variables-an-alternate-approach-for-initiating-multivariate-curve-resolution-alternating-least-square-mcr-als-analysis
#11
Keshav Kumar
Multivariate curve resolution alternating least square (MCR-ALS) analysis is the most commonly used curve resolution technique. The MCR-ALS model is fitted using the alternate least square (ALS) algorithm that needs initialisation of either contribution profiles or spectral profiles of each of the factor. The contribution profiles can be initialised using the evolve factor analysis; however, in principle, this approach requires that data must belong to the sequential process. The initialisation of the spectral profiles are usually carried out using the pure variable approach such as SIMPLISMA algorithm, this approach demands that each factor must have the pure variables in the data sets...
June 23, 2017: Journal of Fluorescence
https://www.readbyqxmd.com/read/28646270/release-from-pi-an-analysis-and-a-model
#12
D J K Mewhort, Kevin D Shabahang, D R J Franklin
Recall decreases across a series of subspan immediate-recall trials but rebounds if the semantic category of the words is changed, an example of release from proactive interference (RPI). The size of the rebound depends on the semantic categories used and ranges from 0% to 95%. We used a corpus of novels to create vectors representing the meaning of about 40,000 words using the BEAGLE algorithm. The distance between categories and spread within categories jointly predicted the size of the RPI. We used a holographic model for recall equipped with a lexicon of BEAGLE vectors representing the meaning of words...
June 23, 2017: Psychonomic Bulletin & Review
https://www.readbyqxmd.com/read/28646210/identification-of-introns-harboring-functional-sequence-elements-through-positional-conservation
#13
Michal Chorev, Alan Joseph Bekker, Jacob Goldberger, Liran Carmel
Many human introns carry out a function, in the sense that they are critical to maintain normal cellular activity. Their identification is fundamental to understanding cellular processes and disease. However, being noncoding elements, such functional introns are poorly predicted based on traditional approaches of sequence and structure conservation. Here, we generated a dataset of human functional introns that carry out different types of functions. We showed that functional introns share common characteristics, such as higher positional conservation along the coding sequence and reduced loss rates, regardless of their specific function...
June 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28646177/hyperspectral-imaging-for-presymptomatic-detection-of-tobacco-disease-with-successive-projections-algorithm-and-machine-learning-classifiers
#14
Hongyan Zhu, Bingquan Chu, Chu Zhang, Fei Liu, Linjun Jiang, Yong He
We investigated the feasibility and potentiality of presymptomatic detection of tobacco disease using hyperspectral imaging, combined with the variable selection method and machine-learning classifiers. Images from healthy and TMV-infected leaves with 2, 4, and 6 days post infection were acquired by a pushbroom hyperspectral reflectance imaging system covering the spectral range of 380-1023 nm. Successive projections algorithm was evaluated for effective wavelengths (EWs) selection. Four texture features, including contrast, correlation, entropy, and homogeneity were extracted according to grey-level co-occurrence matrix (GLCM)...
June 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28646174/a-gpu-accelerated-algorithm-for-biclustering-analysis-and-detection-of-condition-dependent-coexpression-network-modules
#15
Anindya Bhattacharya, Yan Cui
In the analysis of large-scale gene expression data, it is important to identify groups of genes with common expression patterns under certain conditions. Many biclustering algorithms have been developed to address this problem. However, comprehensive discovery of functionally coherent biclusters from large datasets remains a challenging problem. Here we propose a GPU-accelerated biclustering algorithm, based on searching for the largest Condition-dependent Correlation Subgroups (CCS) for each gene in the gene expression dataset...
June 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28646151/optimal-surveillance-strategies-for-bovine-tuberculosis-in-a-low-prevalence-country
#16
Kimberly VanderWaal, Eva A Enns, Catalina Picasso, Julio Alvarez, Andres Perez, Federico Fernandez, Andres Gil, Meggan Craft, Scott Wells
Bovine tuberculosis (bTB) is a chronic disease of cattle that is difficult to control and eradicate in part due to the costly nature of surveillance and poor sensitivity of diagnostic tests. Like many countries, bTB prevalence in Uruguay has gradually declined to low levels due to intensive surveillance and control efforts over the past decades. In low prevalence settings, broad-based surveillance strategies based on routine testing may not be the most cost-effective way for controlling between-farm bTB transmission, while targeted surveillance aimed at high-risk farms may be more efficient for this purpose...
June 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28645968/development-of-a-meta-algorithm-for-guiding-primary-care-encounters-for-patients-with-multimorbidity-using-evidence-based-and-case-based-guideline-development-methodology
#17
Cathleen Muche-Borowski, Dagmar Lühmann, Ingmar Schäfer, Rebekka Mundt, Hans-Otto Wagner, Martin Scherer
OBJECTIVE: The study aimed to develop a comprehensive algorithm (meta-algorithm) for primary care encounters of patients with multimorbidity. We used a novel, case-based and evidence-based procedure to overcome methodological difficulties in guideline development for patients with complex care needs. STUDY DESIGN: Systematic guideline development methodology including systematic evidence retrieval (guideline synopses), expert opinions and informal and formal consensus procedures...
June 22, 2017: BMJ Open
https://www.readbyqxmd.com/read/28645849/thermal-management-in-closed-incubators-new-software-for-assessing-the-impact-of-humidity-on-the-optimal-incubator-air-temperature
#18
Stéphane Delanaud, Pauline Decima, Amandine Pelletier, Jean-Pierre Libert, Estelle Durand, Erwan Stephan-Blanchard, Véronique Bach, Pierre Tourneux
BACKGROUND: Low-birth-weight (LBW) neonates are nursed in closed incubators to prevent transcutaneous water loss. The RH's impact on the optimal incubator air temperature setting has not been studied. METHODS: On the basis of a clinical cohort study, we modelled all the ambient parameters influencing body heat losses and gains. The algorithm quantifies the change in RH on the air temperature, to maintain optimal thermal conditions in the incubator. RESULTS: Twenty-three neonates (gestational age (GA): 30...
June 20, 2017: Medical Engineering & Physics
https://www.readbyqxmd.com/read/28645845/the-feature-weighted-receptive-field-an-interpretable-encoding-model-for-complex-feature-spaces
#19
REVIEW
Ghislain St-Yves, Thomas Naselaris
We introduce the feature-weighted receptive field (fwRF), an encoding model designed to balance expressiveness, interpretability and scalability. The fwRFis organized around the notion of a feature map-a transformation of visual stimuli into visual features that preserves the topology of visual space (but not necessarily the native resolution of the stimulus). The key assumption of the fwRFmodel is that activity in each voxel encodes variation in a spatially localized region across multiple feature maps. This region is fixed for all feature maps; however, the contribution of each feature map to voxel activity is weighted...
June 20, 2017: NeuroImage
https://www.readbyqxmd.com/read/28645840/autoreject-automated-artifact-rejection-for-meg-and-eeg-data
#20
Mainak Jas, Denis A Engemann, Yousra Bekhti, Federico Raimondo, Alexandre Gramfort
We present an automated algorithm for unified rejection and repair of bad trials in magnetoencephalography (MEG) and electroencephalography (EEG) signals. Our method capitalizes on cross-validation in conjunction with a robust evaluation metric to estimate the optimal peak-to-peak threshold - a quantity commonly used for identifying bad trials in M/EEG. This approach is then extended to a more sophisticated algorithm which estimates this threshold for each sensor yielding trial-wise bad sensors. Depending on the number of bad sensors, the trial is then repaired by interpolation or by excluding it from subsequent analysis...
June 20, 2017: NeuroImage
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