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https://www.readbyqxmd.com/read/28346385/intelligent-diagnosis-method-for-rotating-machinery-using-dictionary-learning-and-singular-value-decomposition
#1
Te Han, Dongxiang Jiang, Xiaochen Zhang, Yankui Sun
Rotating machinery is widely used in industrial applications. With the trend towards more precise and more critical operating conditions, mechanical failures may easily occur. Condition monitoring and fault diagnosis (CMFD) technology is an effective tool to enhance the reliability and security of rotating machinery. In this paper, an intelligent fault diagnosis method based on dictionary learning and singular value decomposition (SVD) is proposed. First, the dictionary learning scheme is capable of generating an adaptive dictionary whose atoms reveal the underlying structure of raw signals...
March 27, 2017: Sensors
https://www.readbyqxmd.com/read/28343209/terminological-collocations-in-medical-latin-and-english-a-comparative-study
#2
Olena M Bieliaieva, Yuliia V Lysanets, Ivanna V Znamenska, Inesa V Rozhenko, Nataliia M Nikolaieva
INTRODUCTION: The present paper examines the linguistic status of terminological collocations in medical Latin and English, discusses the most productive term-formation models and ways of Latin-English translation. AIM: The authors aim to provide the comparative analysis of Latin and English terminological collocations and suggest their classification in terms of the idiomaticity level and semantic valency. MATERIALS AND METHODS: The research is based on the corpus of terminological collocations in Latin and English medical discourse using structural, etymological, typological, comparative methods, as well as the method of semantic analysis and conceptual metaphor theory...
2017: Wiadomości Lekarskie: Organ Polskiego Towarzystwa Lekarskiego
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/28333636/sequential-dictionary-learning-from-correlated-data-application-to-fmri-data-analysis
#4
Abd-Krim Seghouane, Asif Iqbal
Sequential dictionary learning via the K-SVD algorithm has been revealed as a successful alternative to conventional data driven methods such as independent component analysis (ICA) for functional magnetic resonance imaging (fMRI) data analysis. fMRI datasets are however structured data matrices with notions of spatio-temporal correlation and temporal smoothness. This prior information has not been included in the K-SVD algorithm when applied to fMRI data analysis. In this paper we propose three variants of the K-SVD algorithm dedicated to fMRI data analysis by accounting for this prior information...
March 22, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28325032/limb-position-robust-classification-of-myoelectric-signals-for-prosthesis-control-using-sparse-representations
#5
Joseph L Betthauser, Christopher L Hunt, Luke E Osborn, Rahul R Kaliki, Nitish V Thakor
The fundamental objective in non-invasive myoelectric prosthesis control is to determine the user's intended movements from corresponding skin-surface recorded electromyographic (sEMG) activation signals as quickly and accurately as possible. Linear Discriminant Analysis (LDA) has emerged as the de facto standard for real-time movement classification due to its ease of use, calculation speed, and remarkable classification accuracy under controlled training conditions. However, performance of cluster-based methods like LDA for sEMG pattern recognition degrades significantly when real-world testing conditions do not resemble the trained conditions, limiting the utility of myoelectrically controlled prosthesis devices...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324833/simplified-purification-approach-of-urinary-neutrophil-gelatinase-associated-lipocalin-by-tangential-flow-filtration-and-ion-exchange-chromatography
#6
Kunal K Shukla, Shamkant B Badgujar, Paresh B Bhanushali, Sushma G Sabharwal
This investigation reports a simplified approach for the purification of urinary siderocalin known as neutrophil gelatinase-associated lipocalin (NGAL). Urinary NGAL was purified by tangential flow filtration and ion exchange chromatography. Isolated NGAL was analyzed by SDS-PAGE, immunoblotting and mass spectrometry (MS). The relative molecular mass of NGAL is 23674Da. Peptide mass fingerprinting of the purified NGAL yielded peptides that partially matched with known sequence of P80188 (NGAL_HUMAN). The tryptic digestion profile of isolated NGAL infers that it may be unique and additive molecule in the dictionary of urinary proteins...
March 11, 2017: Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences
https://www.readbyqxmd.com/read/28323824/local-structure-preserving-sparse-coding-for-infrared-target-recognition
#7
Jing Han, Jiang Yue, Yi Zhang, Lianfa Bai
Sparse coding performs well in image classification. However, robust target recognition requires a lot of comprehensive template images and the sparse learning process is complex. We incorporate sparsity into a template matching concept to construct a local sparse structure matching (LSSM) model for general infrared target recognition. A local structure preserving sparse coding (LSPSc) formulation is proposed to simultaneously preserve the local sparse and structural information of objects. By adding a spatial local structure constraint into the classical sparse coding algorithm, LSPSc can improve the stability of sparse representation for targets and inhibit background interference in infrared images...
2017: PloS One
https://www.readbyqxmd.com/read/28320684/the-overcomplete-dictionary-based-directional-estimation-model-and-nonconvex-reconstruction-methods
#8
Leping Lin, Fang Liu, Licheng Jiao, Shuyuan Yang, Hongxia Hao
In this paper, it is proposed the directional estimation model on the overcomplete dictionary, which bridges the compressed measurements of the image blocks and the directional structures of the dictionary. In the model, it is established the analytical method to estimate the structure type of a block as either smooth, single-oriented, or multioriented. Furthermore, the structures of each type of blocks are described by the structured subdictionaries. Then based on the obtained estimations and the constrains on the sparse dictionaries, the original image will be estimated...
March 10, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28316615/a-robust-shape-reconstruction-method-for-facial-feature-point-detection
#9
Shuqiu Tan, Dongyi Chen, Chenggang Guo, Zhiqi Huang
Facial feature point detection has been receiving great research advances in recent years. Numerous methods have been developed and applied in practical face analysis systems. However, it is still a quite challenging task because of the large variability in expression and gestures and the existence of occlusions in real-world photo shoot. In this paper, we present a robust sparse reconstruction method for the face alignment problems. Instead of a direct regression between the feature space and the shape space, the concept of shape increment reconstruction is introduced...
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/28315459/dynamic-reorganization-of-intrinsic-functional-networks-in-the-mouse-brain
#10
Joanes Grandjean, Maria Giulia Preti, Thomas A W Bolton, Michaela Buerge, Erich Seifritz, Christopher R Pryce, Dimitri Van De Ville, Markus Rudin
Functional connectivity (FC) derived from resting-state functional magnetic resonance imaging (rs-fMRI) allows for the integrative study of neuronal processes at a macroscopic level. The majority of studies to date have assumed stationary interactions between brain regions, without considering the dynamic aspects of network organization. Only recently has the latter received increased attention, predominantly in human studies. Applying dynamic FC (dFC) analysis to mice is attractive given the relative simplicity of the mouse brain and the possibility to explore mechanisms underlying network dynamics using pharmacological, environmental or genetic interventions...
March 14, 2017: NeuroImage
https://www.readbyqxmd.com/read/28302053/a-fast-and-efficient-python-library-for-interfacing-with-the-biological-magnetic-resonance-data-bank
#11
Andrey Smelter, Morgan Astra, Hunter N B Moseley
BACKGROUND: The Biological Magnetic Resonance Data Bank (BMRB) is a public repository of Nuclear Magnetic Resonance (NMR) spectroscopic data of biological macromolecules. It is an important resource for many researchers using NMR to study structural, biophysical, and biochemical properties of biological macromolecules. It is primarily maintained and accessed in a flat file ASCII format known as NMR-STAR. While the format is human readable, the size of most BMRB entries makes computer readability and explicit representation a practical requirement for almost any rigorous systematic analysis...
March 17, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28298233/developing-consensus-measures-for-global-programs-lessons-from-the-global-alliance-for-chronic-diseases-hypertension-research-program
#12
Michaela A Riddell, Nancy Edwards, Simon R Thompson, Antonio Bernabe-Ortiz, Devarsetty Praveen, Claire Johnson, Andre P Kengne, Peter Liu, Tara McCready, Eleanor Ng, Robby Nieuwlaat, Bruce Ovbiagele, Mayowa Owolabi, David Peiris, Amanda G Thrift, Sheldon Tobe, Khalid Yusoff
BACKGROUND: The imperative to improve global health has prompted transnational research partnerships to investigate common health issues on a larger scale. The Global Alliance for Chronic Diseases (GACD) is an alliance of national research funding agencies. To enhance research funded by GACD members, this study aimed to standardise data collection methods across the 15 GACD hypertension research teams and evaluate the uptake of these standardised measurements. Furthermore we describe concerns and difficulties associated with the data harmonisation process highlighted and debated during annual meetings of the GACD funded investigators...
March 15, 2017: Globalization and Health
https://www.readbyqxmd.com/read/28289673/chronic-suppurative-lung-disease-in-children-definition-and-spectrum-of-disease
#13
REVIEW
Gregory J Redding, Edward R Carter
The most common clinical suppurative lung conditions in children are empyema, lung abscess, and bronchiectasis, and to a less often necrotizing pneumonia. Until recently, bronchiectasis was the most common form of persistent suppurative lung disease in children. Protracted bacterial bronchitis is a newly described chronic suppurative condition in children, which is less persistent but more common than bronchiectasis (1). In addition, the term "chronic suppurative lung disease" has been used recently to describe the clinical features of bronchiectasis when the radiographic features needed to make a diagnosis of bronchiectasis are absent...
2017: Frontiers in Pediatrics
https://www.readbyqxmd.com/read/28287973/optimized-color-filter-arrays-for-sparse-representation-based-demosaicking
#14
Jia Li, Chenyan Bai, Zhouchen Lin, Jian Yu
Demosaicking is the problem of reconstructing a color image from the raw image captured by a digital color camera that covers its only imaging sensor with a color filter array (CFA). Sparse representation based demosaicking has been shown to produce superior reconstruction quality. However, almost all existing algorithms in this category use the CFAs which are not specifically optimized for the algorithms. In this paper, we consider optimally designing CFAs for sparse representation based demosaicking, where the dictionary is well-chosen...
March 8, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28287972/videography-based-unconstrained-video-analysis
#15
Kang Li, Sheng Li, Sangmin Oh, Yun Fu
Video analysis and understanding play a central role in visual intelligence. In this paper, we aim to analyze unconstrained videos, by designing features and approaches to represent and analyze videography styles in the videos. Videography denotes the process of making videos. The unconstrained videos are defined as the long duration consumer videos that usually have diverse editing artifacts and significant complexity of contents. We propose to construct a videography dictionary, which can be utilized to represent every video clip as a sequence of videography words...
March 6, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28284167/albiglutide-for-the-treatment-of-type-2-diabetes-mellitus-an-integrated-safety-analysis-of-the-harmony-phase-3-trials
#16
Bo Ahrén, Molly C Carr, Karen Murphy, Christopher Perkins, Marc Rendell, Jason Mallory, Timothy Wilson, Susan Johnson
AIMS: Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) stimulate the incretin system and lower glycaemic parameters in type 2 diabetes mellitus (T2DM). This analysis of clinical studies of up to 3years evaluated the safety of albiglutide, a GLP-1 RA, in people with T2DM. METHODS: Integrated safety analysis included seven phase-3 T2DM studies of albiglutide compared with placebo and/or active comparators (a dipeptidyl peptidase-4 inhibitor, GLP-1 RA, insulin, sulphonylurea, and thiazolidinedione)...
February 20, 2017: Diabetes Research and Clinical Practice
https://www.readbyqxmd.com/read/28280739/a-miso-arx-based-method-for-single-trial-evoked-potential-extraction
#17
Nannan Yu, Lingling Wu, Dexuan Zou, Ying Chen, Hanbing Lu
In this paper, we propose a novel method for solving the single-trial evoked potential (EP) estimation problem. In this method, the single-trial EP is considered as a complex containing many components, which may originate from different functional brain sites; these components can be distinguished according to their respective latencies and amplitudes and are extracted simultaneously by multiple-input single-output autoregressive modeling with exogenous input (MISO-ARX). The extraction process is performed in three stages: first, we use a reference EP as a template and decompose it into a set of components, which serve as subtemplates for the remaining steps...
2017: BioMed Research International
https://www.readbyqxmd.com/read/28274842/rehabilitation-traumatology-a-narrative-review
#18
REVIEW
Donna Bloodworth, Sindhu Pandit, Patrick Mullan, Faye C Tan
Rehabilitation Traumatology has developed within Physical Medicine and Rehabilitation as a specialized area of knowledge in which the physiatrist works with the Traumatology team to enhance the functional outcome of trauma patients. The American Heritage Dictionary defines Traumatology as "the branch of medicine that deals with the treatment of serious wounds, injuries, and disabilities" [1]. It defines rehabilitate as "to restore to good health or useful life, as through therapy and education" [1]. Thus the authors propose Rehabilitation Traumatology be "the branch of medicine that deals with the treatment of serious wounds, injuries, and disabilities", "to restore (the patient) to good health or useful life"...
March 5, 2017: PM & R: the Journal of Injury, Function, and Rehabilitation
https://www.readbyqxmd.com/read/28271592/what-do-demand-control-and-effort-reward-work-stress-questionnaires-really-measure-a-discriminant-content-validity-study-of-relevance-and-representativeness-of-measures
#19
Cheryl Bell, Derek Johnston, Julia Allan, Beth Pollard, Marie Johnston
OBJECTIVES: The Demand-Control (DC) and Effort-Reward Imbalance (ERI) models predict health in a work context. Self-report measures of the four key constructs (demand, control, effort, and reward) have been developed and it is important that these measures have good content validity uncontaminated by content from other constructs. We assessed relevance (whether items reflect the constructs) and representativeness (whether all aspects of the construct are assessed, and all items contribute to that assessment) across the instruments and items...
March 8, 2017: British Journal of Health Psychology
https://www.readbyqxmd.com/read/28270870/readability-of-healthcare-literature-for-gastroparesis-and-evaluation-of-medical-terminology-in-reading-difficulty
#20
Andrew Meillier, Shyam Patel
BACKGROUND: Gastroparesis is a chronic condition that can be further enhanced with patient understanding. Patients' education resources on the Internet have become increasingly important in improving healthcare literacy. We evaluated the readability of online resources for gastroparesis and the influence by medical terminology. METHODS: Google searches were performed for "gastroparesis", "gastroparesis patient education material" and "gastroparesis patient information"...
February 2017: Gastroenterology Research
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