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https://www.readbyqxmd.com/read/28820891/scene-text-detection-via-extremal-region-based-double-threshold-convolutional-network-classification
#1
Wei Zhu, Jing Lou, Longtao Chen, Qingyuan Xia, Mingwu Ren
In this paper, we present a robust text detection approach in natural images which is based on region proposal mechanism. A powerful low-level detector named saliency enhanced-MSER extended from the widely-used MSER is proposed by incorporating saliency detection methods, which ensures a high recall rate. Given a natural image, character candidates are extracted from three channels in a perception-based illumination invariant color space by saliency-enhanced MSER algorithm. A discriminative convolutional neural network (CNN) is jointly trained with multi-level information including pixel-level and character-level information as character candidate classifier...
2017: PloS One
https://www.readbyqxmd.com/read/28820673/asymmetric-compression-of-representational-space-for-object-animacy-categorization-under-degraded-viewing-conditions
#2
Tijl Grootswagers, J Brendan Ritchie, Susan G Wardle, Andrew Heathcote, Thomas A Carlson
Animacy is a robust organizing principle among object category representations in the human brain. Using multivariate pattern analysis methods, it has been shown that distance to the decision boundary of a classifier trained to discriminate neural activation patterns for animate and inanimate objects correlates with observer RTs for the same animacy categorization task [Ritchie, J. B., Tovar, D. A., & Carlson, T. A. Emerging object representations in the visual system predict reaction times for categorization...
August 18, 2017: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/28818710/multivariate-soil-fertility-relationships-for-predicting-the-environmental-persistence-of-2-4-6-trinitrotoluene-tnt-and-1-3-5-trinitro-1-3-5-tricyclohexane-rdx-among-taxonomically-distinct-soils
#3
Chelsea K Katseanes, Mark A Chappell, Bryan G Hopkins, Brian D Durham, Cynthia L Price, Beth E Porter, Lesley F Miller
After nearly a century of use in numerous munition platforms, TNT and RDX contamination has turned up largely in the environment due to ammunition manufacturing or as part of releases from low-order detonations during training activities. Although the basic knowledge governing the environmental fate of TNT and RDX are known, accurate predictions of TNT and RDX persistence in soil remain elusive, particularly given the universal heterogeneity of pedomorphic soil types. In this work, we proposed overcoming this problem by considering the environmental persistence of these munition constituents (MC) as multivariate mathematical functions over a variety of taxonomically distinct soil types, instead of a single constant or parameter of a specific absolute value...
August 14, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/28816656/tracking-by-detection-of-3d-human-shapes-from-surfaces-to-volumes
#4
Chun-Hao Huang, Benjamin Allain, Edmond Boyer, Jean-Sebastien Franco, Federico Tombari, Nassir Navab, Slobodan Ilic
3D Human shape tracking consists in fitting a template model to temporal sequences of visual observations. It usually comprises an association step, that finds correspondences between the model and the input data, and a deformation step, that fits the model to the observations given correspondences. Most current approaches follow the Iterative-Closest-Point (ICP) paradigm, where the association step is carried out by searching for the nearest neighbors. It fails when large deformations occur and errors in the association tend to propagate over time...
August 15, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28816511/virtual-reality-and-active-videogame-based-practice-learning-needs-and-preferences-a-cross-canada-survey-of-physical-therapists-and-occupational-therapists
#5
Danielle Levac, Stephanie Glegg, Heather Colquhoun, Patricia Miller, Farzad Noubary
OBJECTIVE: Describe the clinical use of virtual reality (VR)/active videogaming (AVG) by physical therapists (PTs) and occupational therapists (OTs) in Canada, identify usage barriers and facilitators, evaluate factors that predict intention to use VR/AVGs, and determine therapists' learning needs. DESIGN: Cross-sectional survey. MATERIALS AND METHODS: Online survey of therapists in Canada who were members of 1 of 26 professional PT or OT colleges or associations using the Assessing Determinants Of Prospective Take-up of Virtual Reality (ADOPT-VR2) Instrument...
August 2017: Games for Health
https://www.readbyqxmd.com/read/28816337/a-bag-of-concepts-approach-for-biomedical-document-classification-using-wikipedia-knowledge-spanish-english-cross-language-case-study
#6
Marcos A Mouriño-García, Roberto Pérez-Rodríguez, Luis E Anido-Rifón
OBJECTIVES: The ability to efficiently review the existing literature is essential for the rapid progress of research. This paper describes a classifier of text documents, represented as vectors in spaces of Wikipedia concepts, and analyses its suitability for classification of Spanish biomedical documents when only English documents are available for training. We propose the cross-language concept matching (CLCM) technique, which relies on Wikipedia interlanguage links to convert concept vectors from the Spanish to the English space...
August 16, 2017: Methods of Information in Medicine
https://www.readbyqxmd.com/read/28815112/predicting-intervention-onset-in-the-icu-with-switching-state-space-models
#7
Marzyeh Ghassemi, Mike Wu, Michael C Hughes, Peter Szolovits, Finale Doshi-Velez
The impact of many intensive care unit interventions has not been fully quantified, especially in heterogeneous patient populations. We train unsupervised switching state autoregressive models on vital signs from the public MIMIC-III database to capture patient movement between physiological states. We compare our learned states to static demographics and raw vital signs in the prediction of five ICU treatments: ventilation, vasopressor administra tion, and three transfusions. We show that our learned states, when combined with demographics and raw vital signs, improve prediction for most interventions even 4 or 8 hours ahead of onset...
2017: AMIA Summits on Translational Science Proceedings
https://www.readbyqxmd.com/read/28813968/changes-in-neuromuscular-activity-during-motor-training-with-a-body-machine-interface-after-spinal-cord-injury
#8
C Pierella, A De Luca, E Tasso, F Cervetto, S Gamba, L Losio, E Quinland, A Venegoni, S Mandraccia, I Muller, A Massone, F A Mussa-Ivaldi, M Casadio
Body machine interfaces (BMIs) are used by people with severe motor disabilities to control external devices, but they also offer the opportunity to focus on rehabilitative goals. In this study we introduced in a clinical setting a BMI that was integrated by the therapists in the rehabilitative treatments of 2 spinal cord injured (SCI) subjects for 5 weeks. The BMI mapped the user's residual upper body mobility onto the two coordinates of a cursor on a screen. By controlling the cursor, the user engaged in playing computer games...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813816/computational-rehabilitation-of-neglect-using-state-space-models-to-understand-the-recovery-mechanisms
#9
Giulia Sedda, Marcella Ottonello, Elena Fiabane, Caterina Pistarini, Anna Sedda, Vittorio Sanguineti
Unilateral spatial neglect is a neuropsychological syndrome often observed in right hemisphere stroke patients. The symptoms differ from subject to subject. A few rehabilitation approaches, e.g. prism adaptation, have demonstrated some effect in reducing the symptoms, but the underlying mechanisms are still largely unclear. Recently, neural models have been proposed to qualitatively describe cortical lesions, the resulting neglect symptoms and the effects of treatment. However, these predictions are qualitative and cannot be used to compare different hypotheses or to interpret symptoms at individual subjects level...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28811915/prevent-what-is-pre-criminal-space
#10
David Goldberg, Sushrut Jadhav, Tarek Younis
Prevent is a UK-wide programme within the government's anti-terrorism strategy aimed at stopping individuals from supporting or taking part in terrorist activities. NHS England's Prevent Training and Competencies Framework requires health professionals to understand the concept of pre-criminal space. This article examines pre-criminal space, a new term which refers to a period of time during which a person is referred to a specific Prevent-related safeguarding panel, Channel. It is unclear what the concept of pre-criminal space adds to the Prevent programme...
August 2017: BJPsych Bulletin
https://www.readbyqxmd.com/read/28810167/intimate-partner-violence-as-a-subject-of-study-during-the-training-of-nurses-and-midwives-in-catalonia-spain-a-qualitative-study
#11
María Analía Gómez-Fernández, Josefina Goberna-Tricas, Montserrat Payà-Sánchez
While nurses and midwives are in a unique position to identify and help victims of IPV, since they are often their first point of contact in the healthcare system, they need appropriate training. This study sought to examine the presence of IPV-related contents and the depth to which they are addressed in the bachelor's degree in Nursing and in the Midwifery specialisation programme. The study also explored lecturers' motivations for including IPV in their subjects. The methodology employed was qualitative...
August 7, 2017: Nurse Education in Practice
https://www.readbyqxmd.com/read/28809716/structured-weak-semantic-space-construction-for-visual-categorization
#12
Chunjie Zhang, Jian Cheng, Qi Tian
Visual features have been widely used for image representation and categorization. However, visual features are often inconsistent with human perception. Besides, constructing explicit semantic space is still an open problem. To alleviate these two problems, in this paper, we propose to construct structured weak semantic space for image representation. Exemplar classifier is first trained to separate each training image from other images for weak semantic space construction. However, each exemplar classifier separates one training image from other images, and it only has limited semantic separability...
August 11, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28809094/an-automated-skills-assessment-framework-for-laparoscopic-training-tasks
#13
Nicholas P Sgouros, Constantinos Loukas, Vassiliki Koufi, Theodore G Troupis, Evangelos Georgiou
BACKGROUND: Various sensors and methods are used for evaluating trainees' skills in laparoscopic procedures. These methods are usually task-specific and involve high costs or advanced setups. METHODS: In this paper, we propose a novel manoeuver representation feature space (MRFS) constructed by tracking the vanishing points of the edges of the graspers on the video sequence frames, acquired by the standard box trainer camera. This study aims to provide task-agnostic classification of trainees in experts and novices using a single MRFS over two basic laparoscopic tasks...
August 15, 2017: International Journal of Medical Robotics + Computer Assisted Surgery: MRCAS
https://www.readbyqxmd.com/read/28808506/the-knowledge-concerns-and-healthcare-practices-among-physicians-regarding-electronic-cigarettes
#14
Venkatkiran Kanchustambham, Swetha Saladi, Jonathan Rodrigues, Hermina Fernandes, Setu Patolia, Sadhashiv Santosh
Background: Electronic cigarettes (e-cigarettes) are battery-powered devices that deliver aerosolized nicotine. With easy access and over-the-counter availability, many patients consider using electronic cigarettes for smoking cessation. Few studies have looked at long-term safety/efficacy and physician knowledge/attitudes toward e-cigarettes. Physicians have insufficient guidelines for advising their patients about e-cigarettes. Objective: 1) To identify knowledge and attitude of health care practitioners toward electronic cigarettes...
July 2017: Journal of Community Hospital Internal Medicine Perspectives
https://www.readbyqxmd.com/read/28803176/an-easy-efficient-and-mobile-way-for-training-microsurgical-skills-during-busy-life-of-neurosurgical-residency-and-resource-challenged-environment
#15
Antti Huotarinen, Mika Niemelä, Behnam Rezai Jahromi
BACKGROUND: Residents life is more than hectic, it is hard to find place and time for training basic and advanced microsurgical skills. Surgical instruments, sutures can be purchased (or loaned from department) but the most expensive and space occupying device is microscope. In developing countries microscopes are used where the need is most; in operation rooms. Furthermore conventional microscope is not portable. For all mentioned reasons availability of microscope for training microsurgery is very limited...
August 9, 2017: World Neurosurgery
https://www.readbyqxmd.com/read/28802539/barriers-and-solutions-to-fieldwork-education-in-hand-therapy
#16
Nathan Short, Shelby Sample, Malachi Murphy, Brittany Austin, Jillian Glass
STUDY DESIGN: Survey. INTRODUCTION: Fieldwork education is a vital component of training the next generation of CHTs. Barriers and solutions to fieldwork rotations in hand therapy are examined, as well as proposed solutions, including recommendations for student preparation. PURPOSE OF THE STUDY: This descriptive study examined barriers for certified hand therapist clinicians to accept students for clinical rotations and clinicians' preferences for student preparation before a rotation in a hand setting...
August 9, 2017: Journal of Hand Therapy: Official Journal of the American Society of Hand Therapists
https://www.readbyqxmd.com/read/28802145/ensemble-of-expert-deep-neural-networks-for-spatio-temporal-denoising-of-contrast-enhanced-mri-sequences
#17
A Benou, R Veksler, A Friedman, T Riklin Raviv
Dynamic contrast-enhanced MRI (DCE-MRI) is an imaging protocol where MRI scans are acquired repetitively throughout the injection of a contrast agent. The analysis of dynamic scans is widely used for the detection and quantification of blood-brain barrier (BBB) permeability. Extraction of the pharmacokinetic (PK) parameters from the DCE-MRI concentration curves allows quantitative assessment of the integrity of the BBB functionality. However, curve fitting required for the analysis of DCE-MRI data is error-prone as the dynamic scans are subject to non-white, spatially-dependent and anisotropic noise...
August 2, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28801817/contour-segmentation-of-the-intima-media-and-adventitia-layers-in-intracoronary-oct-images-application-to-fully-automatic-detection-of-healthy-wall-regions
#18
Guillaume Zahnd, Ayla Hoogendoorn, Nicolas Combaret, Antonios Karanasos, Emilie Péry, Laurent Sarry, Pascal Motreff, Wiro Niessen, Evelyn Regar, Gijs van Soest, Frank Gijsen, Theo van Walsum
PURPOSE: Quantitative and automatic analysis of intracoronary optical coherence tomography images is useful and time-saving to assess cardiovascular risk in the clinical arena. METHODS: First, the interfaces of the intima, media, and adventitia layers are segmented, by means of an original front propagation scheme, running in a 4D multi-parametric space, to simultaneously extract three non-crossing contours in the initial cross-sectional image. Second, information resulting from the tentative contours is exploited by a machine learning approach to identify healthy and diseased regions of the arterial wall...
August 11, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28801255/decoding-naturalistic-experiences-from-human-brain-activity-via-distributed-representations-of-words
#19
REVIEW
Satoshi Nishida, Shinji Nishimoto
Natural visual scenes induce rich perceptual experiences that are highly diverse from scene to scene and from person to person. Here, we propose a new framework for decoding such experiences using a distributed representation of words. We used functional magnetic resonance imaging (fMRI) to measure brain activity evoked by natural movie scenes. Then, we constructed a high-dimensional feature space of perceptual experiences using skip-gram, a state-of-the-art distributed word embedding model. We built a decoder that associates brain activity with perceptual experiences via the distributed word representation...
August 8, 2017: NeuroImage
https://www.readbyqxmd.com/read/28800631/lack-of-spacing-effects-during-piano-learning
#20
Melody Wiseheart, Annalise A D'Souza, Jacey Chae
Spacing effects during retention of verbal information are easily obtained, and the effect size is large. Relatively little evidence exists on whether motor skill retention benefits from distributed practice, with even less evidence on complex motor skills. We taught a 17-note musical sequence on a piano to individuals without prior formal training. There were five lags between learning episodes: 0-, 1-, 5-, 10-, and 15-min. After a 5-min retention interval, participants' performance was measured using three criteria: accuracy of note playing, consistency in pressure applied to the keys, and consistency in timing...
2017: PloS One
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