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https://www.readbyqxmd.com/read/28335431/building-a-relationship-between-robot-characteristics-and-teleoperation-user-interfaces
#1
Michael Mortimer, Ben Horan, Mehdi Seyedmahmoudian
The Robot Operating System (ROS) provides roboticists with a standardized and distributed framework for real-time communication between robotic systems using a microkernel environment. This paper looks at how ROS metadata, Unified Robot Description Format (URDF), Semantic Robot Description Format (SRDF), and its message description language, can be used to identify key robot characteristics to inform User Interface (UI) design for the teleoperation of heterogeneous robot teams. Logical relationships between UI components and robot characteristics are defined by a set of relationship rules created using relevant and available information including developer expertise and ROS metadata...
March 14, 2017: Sensors
https://www.readbyqxmd.com/read/28334215/systematic-inference-of-functional-phosphorylation-events-in-yeast-metabolism
#2
Yu Chen, Yonghong Wang, Jens Nielsen
Motivation: Protein phosphorylation is a post-translational modification that affects proteins by changing their structure and conformation in a rapid and reversible way, and it is an important mechanism for metabolic regulation in cells. Phosphoproteomics enables high-throughput identification of phosphorylation events on metabolic enzymes, but identifying functional phosphorylation events still requires more detailed biochemical characterization. Therefore, development of computational methods for investigating unknown functions of a large number of phosphorylation events identified by phosphoproteomics has received increased attention...
March 2, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334208/morphologically-constrained-spectral-unmixing-by-dictionary-learning-for-multiplex-fluorescence-microscopy
#3
Murad Megjhani, Pedro Correa de Sampaio, Julienne Leigh Carstens, Raghu Kalluri, Badrinath Roysam
Motivation: Current spectral unmixing methods for multiplex fluorescence microscopy have a limited ability to cope with high spectral overlap as they only analyze spectral information over individual pixels. Here, we present adaptive Morphologically Constrained Spectral Unmixing (MCSU) algorithms that overcome this limitation by exploiting morphological differences between sub-cellular structures, and their local spatial context. Results: The proposed method was effective at improving spectral unmixing performance by exploiting: (i) a set of dictionary-based models for object morphologies learned from the image data; and (ii) models of spatial context learned from the image data using a total variation algorithm...
March 2, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334199/stepwise-inference-of-likely-dynamic-flux-distributions-from-metabolic-time-series-data
#4
Mojdeh Faraji, Eberhard O Voit
Motivation: Most metabolic pathways contain more reactions than metabolites and therefore have a wide stoichiometric matrix that corresponds to infinitely many possible flux distributions that are perfectly compatible with the dynamics of the metabolites in a given dataset. This under-determinedness poses a challenge for the quantitative characterization of flux distributions from time series data and thus for the design of adequate, predictive models. Here we propose a method that reduces the degrees of freedom in a stepwise manner and leads to a dynamic flux distribution that is, in a statistical sense, likely to be close to the true distribution...
March 7, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334101/refbool-a-reference-based-algorithm-for-discretizing-gene-expression-data
#5
Sascha Jung, Andras Hartmann, Antonio Del Sol
Motivation: The identification of genes or molecular regulatory mechanisms implicated in biological processes often requires the discretization, and in particular booleanization, of gene expression measurements. However, currently used methods mostly classify each measurement into an active or inactive state regardless of its statistical support possibly leading to downstream analysis conclusions based on spurious booleanization results. Results: In order to overcome the lack of certainty inherent in current methodologies and to improve the process of discretization, we introduce RefBool, a reference-based algorithm for discretizing gene expression data...
February 22, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28329015/adaptive-control-paradigm-for-photovoltaic-and-solid-oxide-fuel-cell-in-a-grid-integrated-hybrid-renewable-energy-system
#6
Sidra Mumtaz, Laiq Khan
The hybrid power system (HPS) is an emerging power generation scheme due to the plentiful availability of renewable energy sources. Renewable energy sources are characterized as highly intermittent in nature due to meteorological conditions, while the domestic load also behaves in a quite uncertain manner. In this scenario, to maintain the balance between generation and load, the development of an intelligent and adaptive control algorithm has preoccupied power engineers and researchers. This paper proposes a Hermite wavelet embedded NeuroFuzzy indirect adaptive MPPT (maximum power point tracking) control of photovoltaic (PV) systems to extract maximum power and a Hermite wavelet incorporated NeuroFuzzy indirect adaptive control of Solid Oxide Fuel Cells (SOFC) to obtain a swift response in a grid-connected hybrid power system...
2017: PloS One
https://www.readbyqxmd.com/read/28328518/application-of-lms-based-nn-structure-for-power-quality-enhancement-in-a-distribution-network-under-abnormal-conditions
#7
Rahul Kumar Agarwal, Ikhlaq Hussain, Bhim Singh
This paper proposes an application of a least mean-square (LMS)-based neural network (NN) structure for the power quality improvement of a three-phase power distribution network under abnormal conditions. It uses a single-layer neuron structure for the control in a distribution static compensator (DSTATCOM) to attenuate the harmonics such as noise, bias, notches, dc offset, and distortion, injected in the grid current due to connection of several nonlinear loads. This admittance LMS-based NN structure has a simple architecture which reduces the computational complexity and burden which makes it easy to implement...
March 16, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28326023/infrared-video-pupillography-coupled-with-smart-phone-led-for-measurement-of-pupillary-light-reflex
#8
Lily Yu-Li Chang, Jason Turuwhenua, Tian Yuan Qu, Joanna M Black, Monica L Acosta
Clinical assessment of pupil appearance and pupillary light reflex (PLR) may inform us the integrity of the autonomic nervous system (ANS). Current clinical pupil assessment is limited to qualitative examination, and relies on clinical judgment. Infrared (IR) video pupillography combined with image processing software offer the possibility of recording quantitative parameters. In this study we describe an IR video pupillography set-up intended for human and animal testing. As part of the validation, resting pupil diameter was measured in human subjects using the NeurOptics(™) (Irvine, CA, USA) pupillometer, to compare against that measured by our IR video pupillography set-up, and PLR was assessed in guinea pigs...
2017: Frontiers in Integrative Neuroscience
https://www.readbyqxmd.com/read/28325445/nonlinear-model-on-pulsatile-flow-of-blood-through-a-porous-bifurcated-arterial-stenosis-in-the-presence-of-magnetic-field-and-periodic-body-acceleration
#9
R Ponalagusamy, S Priyadharshini
BACKGROUND AND OBJECTIVE: Background and Objective: The motivation of cardiovascular modeling is to understand the haemodynamic and mechanical factors in the diagnosis and treatment of cardiovascular diseases. Several investigations have been carried out by many authors to understand the flow properties of blood in modelling blood flows in the circulatory system. In the present article, the pulsatile flow of Herschel-Bulkley fluid through a bifurcated arterial stenosis in a porous medium with magnetic field and periodic body acceleration has been investigated in view of understanding the role of rheological behaviour of blood, stenotic height, bifurcation angle, magnetic field and porosity of wall in the initiation and proliferation of cardiovascular diseases...
April 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28322387/color-resolution-improvement-of-the-dark-field-microscopy-imaging-of-single-light-scattering-plasmonic-nanoprobes-for-microrna-visual-detection
#10
Jun Zhou, Peng Fei Gao, Hong Zhi Zhang, Gang Lei, Lin Ling Zheng, Hui Liu, Cheng Zhi Huang
Imaging of light scattering plasmonic nanoparticles (PNPs) with the aid of the dark-field microscopy imaging (iDFM) technique has attracted wide attention owing to its high signal-to-noise ratio, but to improve the color resolution and contrast of dark-field microscopy (DFM) images of single light scattering PNPs in a small spectral variation environment is still a challenge. In this study, a new color analytical method for resolving the resolution and contrast in DFM images has been developed and further applied for colorimetric analysis using the digital image processing technique...
March 21, 2017: Nanoscale
https://www.readbyqxmd.com/read/28321384/operative-strategies-to-minimize-complications-following-resection-of-pituitary-macroadenomas
#11
Jayesh P Thawani, Ashwin G Ramayya, Jared M Pisapia, Kalil G Abdullah, John Y-K Lee, M Sean Grady
Introduction We sought to identify factors associated with increased length of stay (LOS) and morbidity in patients undergoing resection of pituitary macroadenomas. Methods We reviewed records of 203 consecutive patients who underwent endoscopic endonasal resection of a pituitary macroadenoma (mean age = 55.7 [16-88]) years, volume = 11.3 (1.0-134.3) cm(3). Complete resection was possible in 60/29.6% patients. Mean follow-up was 575 days. Multivariate logistic regression was performed using MATLAB...
April 2017: Journal of Neurological Surgery. Part B, Skull Base
https://www.readbyqxmd.com/read/28317296/how-to-make-more-out-of-community-data-a-conceptual-framework-and-its-implementation-as-models-and-software
#12
Otso Ovaskainen, Gleb Tikhonov, Anna Norberg, F Guillaume Blanchet, Leo Duan, David Dunson, Tomas Roslin, Nerea Abrego
Community ecology aims to understand what factors determine the assembly and dynamics of species assemblages at different spatiotemporal scales. To facilitate the integration between conceptual and statistical approaches in community ecology, we propose Hierarchical Modelling of Species Communities (HMSC) as a general, flexible framework for modern analysis of community data. While non-manipulative data allow for only correlative and not causal inference, this framework facilitates the formulation of data-driven hypotheses regarding the processes that structure communities...
March 20, 2017: Ecology Letters
https://www.readbyqxmd.com/read/28315256/simultaneous-detection-of-metalloprotease-activities-in-complex-biological-samples-using-the-prama-proteolytic-activity-matrix-assay-method
#13
Catharina Conrad, Miles A Miller, Jörg W Bartsch, Uwe Schlomann, Douglas A Lauffenburger
Proteolytic Activity Matrix Analysis (PrAMA) is a method for simultaneously determining the activities of specific Matrix Metalloproteinases (MMPs) and A Disintegrin and Metalloproteinases (ADAMs) in complex biological samples. In mixtures of unknown proteases, PrAMA infers selective metalloproteinase activities by using a panel of moderately specific FRET-based polypeptide protease substrates in parallel, typically monitored by a plate-reader in a 96-well format. Fluorescence measurements are then quantitatively compared to a standard table of catalytic efficiencies measured from purified mixtures of individual metalloproteinases and FRET substrates...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28303099/meet-spinky-an-open-source-spindle-and-k-complex-detection-toolbox-validated-on-the-open-access-montreal-archive-of-sleep-studies-mass
#14
Tarek Lajnef, Christian O'Reilly, Etienne Combrisson, Sahbi Chaibi, Jean-Baptiste Eichenlaub, Perrine M Ruby, Pierre-Emmanuel Aguera, Mounir Samet, Abdennaceur Kachouri, Sonia Frenette, Julie Carrier, Karim Jerbi
Sleep spindles and K-complexes are among the most prominent micro-events observed in electroencephalographic (EEG) recordings during sleep. These EEG microstructures are thought to be hallmarks of sleep-related cognitive processes. Although tedious and time-consuming, their identification and quantification is important for sleep studies in both healthy subjects and patients with sleep disorders. Therefore, procedures for automatic detection of spindles and K-complexes could provide valuable assistance to researchers and clinicians in the field...
2017: Frontiers in Neuroinformatics
https://www.readbyqxmd.com/read/28302144/a-dosimetric-model-for-the-heterogeneous-delivery-of-radioactive-nanoparticles-in-vivo-a-feasibility-study
#15
Andrew B Satterlee, Peter Attayek, Bentley Midkiff, Leaf Huang
ᅟ: Accurate and quantitative dosimetry for internal radiation therapy can be especially challenging, given the heterogeneity of patient anatomy, tumor anatomy, and source deposition. Internal radiotherapy sources such as nanoparticles and monoclonal antibodies require high resolution imaging to accurately model the heterogeneous distribution of these sources in the tumor. The resolution of nuclear imaging modalities is not high enough to measure the heterogeneity of intratumoral nanoparticle deposition or intratumoral regions, and mathematical models do not represent the actual heterogeneous dose or dose response...
March 17, 2017: Radiation Oncology
https://www.readbyqxmd.com/read/28300373/sum-signal-dosimetry-a-new-approach-for-high-dose-quality-assurance-with-gafchromic-ebt3
#16
Davide Cusumano, Maria Luisa Fumagalli, Francesco Ghielmetti, Linda Rossi, Giuliano Grossi, Raffaella Lanzarotti, Laura Fariselli, Elena De Martin
Gafchromic EBT3 film dosimetry in radiosurgery (RS) and hypofractionated radiotherapy (HRT) is complicated by the limited film accuracy at high fractional doses. The aim of this study is to develop and evaluate sum signal (SS) film dosimetry to increase dose resolution at high fractional doses, thus allowing for use of EBT3 for dose distribution verification of RS/HRT treatments. To characterize EBT3 dose-response, a calibration was performed in the dose range 0.44-26.43 Gy. Red (RC) and green (GC) channel net optical densities were linearly added to produce the SS...
March 2017: Journal of Applied Clinical Medical Physics
https://www.readbyqxmd.com/read/28299710/high-resolution-microultrasound-%C3%AE-us-investigation-of-the-gastrointestinal-gi-tract
#17
Thineskrishna Anbarasan, Christine E M Démoré, Holly Lay, Mohammed R S Sunoqrot, Romans Poltarjonoks, Sandy Cochran, Benjamin F Cox
High resolution, microultrasound (μUS) scanning of the gastrointestinal (GI) tract has potential as an important transmural imaging modality to aid in diagnosis. Operating at higher frequencies than conventional clinical ultrasound instruments, μUS is capable of providing scanned images of the GI tract with higher resolution. To investigate the use of μUS for this application, a phantom which is cost effective, within ethical guidelines and, most importantly, similar in histology to the human GI tract is necessary...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28297454/evaluation-of-cassette-based-digital-radiography-detectors-using-standardized-image-quality-metrics-aapm-tg-150-draft-image-detector-tests
#18
Guang Li, Travis C Greene, Thomas K Nishino, Charles E Willis
The purpose of this study was to evaluate several of the standardized image quality metrics proposed by the American Association of Physics in Medicine (AAPM) Task Group 150. The task group suggested region-of-interest (ROI)-based techniques to measure nonuniformity, minimum signal-to-noise ratio (SNR), number of anomalous pixels, and modulation transfer function (MTF). This study evaluated the effects of ROI size and layout on the image metrics by using four different ROI sets, assessed result uncertainty by repeating measurements, and compared results with two commercially available quality control tools, namely the Carestream DIRECTVIEW Total Quality Tool (TQT) and the GE Healthcare Quality Assurance Process (QAP)...
September 2016: Journal of Applied Clinical Medical Physics
https://www.readbyqxmd.com/read/28295588/facilitating-the-performance-of-qnmr-analysisusing-automated-quantification-and-results-verification
#19
Yulia B Monakhova, Bernd W K Diehl
Quantitative nuclear magnetic resonance (qNMR) is considered as a powerful tool for measuring the absolute amount of small molecules in complex mixtures. However, verification of the accuracy of such quantification is not a trivial task. In particular, preprocessing and integration steps are particularly challenging and potentially erroneous.A script was developed in Matlab environment to automate qNMR analysis. Verification of the results is based on two evolving integration profiles. The analysis of binary mixtures of internal standards as well as pharmaceutical products has shown that all common artifacts (phase and baseline distortion, impurities) can be easily recognized in routine qNMR experiments...
March 10, 2017: Magnetic Resonance in Chemistry: MRC
https://www.readbyqxmd.com/read/28294460/retinal-imaging-analysis-based-on-vessel-detection
#20
Arshad Jamal, Mohammed Hazim Alkawaz, Amjad Rehman, Tanzila Saba
With an increase in the advancement of digital imaging and computing power, computationally intelligent technologies are in high demand to be used in ophthalmology cure and treatment. In current research, Retina Image Analysis (RIA) is developed for optometrist at Eye Care Center in Management and Science University. This research aims to analyze the retina through vessel detection. The RIA assists in the analysis of the retinal images and specialists are served with various options like saving, processing and analyzing retinal images through its advanced interface layout...
March 13, 2017: Microscopy Research and Technique
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