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https://www.readbyqxmd.com/read/28103632/global-health-and-emergency-care-defining-clinical-research-priorities
#1
Bhakti Hansoti, Adam R Aluisio, Meagan A Barry, Kevin Davey, Brian A Lentz, Payal Modi, Jennifer A Newberry, Melissa H Patel, Tricia A Smith, Alexandra M Vinograd, Adam C Levine
OBJECTIVES: Despite recent strides in the development of Global Emergency Medicine (EM), the field continues to lag in applying a scientific approach to identifying critical knowledge gaps and advancing evidence-based solutions to clinical and public health problems seen in emergency departments worldwide. Here, progress on the Global EM research agenda created at the 2013 Academic Emergency Medicine Global Health and Emergency Care Consensus Conference is evaluated and critical areas for future development in emergency care research internationally are identified...
January 19, 2017: Academic Emergency Medicine: Official Journal of the Society for Academic Emergency Medicine
https://www.readbyqxmd.com/read/28103570/an-extreme-learning-machine-approach-to-density-estimation-problems
#2
Cristiano Cervellera, Danilo Maccio
In this paper, we discuss how the extreme learning machine (ELM) framework can be effectively employed in the unsupervised context of multivariate density estimation. In particular, two algorithms are introduced, one for the estimation of the cumulative distribution function underlying the observed data, and one for the estimation of the probability density function. The algorithms rely on the concept of $F$-discrepancy, which is closely related to the Kolmogorov-Smirnov criterion for goodness of fit. Both methods retain the key feature of the ELM of providing the solution through random assignment of the hidden feature map and a very light computational burden...
January 17, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28103569/an-intelligent-actuator-fault-reconstruction-scheme-for-robotic-manipulators
#3
Bing Xiao, Shen Yin
This paper investigates a difficult problem of reconstructing actuator faults for robotic manipulators. An intelligent approach with fast reconstruction property is developed. This is achieved by using observer technique. This scheme is capable of precisely reconstructing the actual actuator fault. It is shown by Lyapunov stability analysis that the reconstruction error can converge to zero after finite time. A perfect reconstruction performance including precise and fast properties can be provided for actuator fault...
January 16, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28103568/on-the-exploration-of-information-from-the-dtw-cost-matrix-for-online-signature-verification
#4
Abhishek Sharma, Suresh Sundaram
This paper explores the utility of information derived from the dynamic time warping (DTW) cost matrix for the problem of online signature verification. The prior works in literature primarily utilize only the DTW scores to authenticate a test signature. To the best of our knowledge, the characteristics of the warping path (used for the alignment) in the cost matrix is hardly exploited for verification of online signatures. Accordingly, we devise a score that utilizes the information from the cost matrix and warping path alignments...
January 17, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28103567/predictive-control-of-networked-multiagent-systems-via-cloud-computing
#5
Guo-Ping Liu
This paper studies the design and analysis of networked multiagent predictive control systems via cloud computing. A cloud predictive control scheme for networked multiagent systems (NMASs) is proposed to achieve consensus and stability simultaneously and to compensate for network delays actively. The design of the cloud predictive controller for NMASs is detailed. The analysis of the cloud predictive control scheme gives the necessary and sufficient conditions of stability and consensus of closed-loop networked multiagent control systems...
January 18, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28103566/exact-and-approximate-stability-of-solutions-to-traveling-salesman-problems
#6
Moritz Niendorf, Anouck R Girard
This paper presents the stability analysis of an optimal tour for the symmetric traveling salesman problem (TSP) by obtaining stability regions. The stability region of an optimal tour is the set of all cost changes for which that solution remains optimal and can be understood as the margin of optimality for a solution with respect to perturbations in the problem data. It is known that it is not possible to test in polynomial time whether an optimal tour remains optimal after the cost of an arbitrary set of edges changes...
January 17, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28103564/mograms-a-network-based-methodology-for-visualizing-the-set-of-nondominated-solutions-in-multiobjective-optimization
#7
Krzysztof Trawinski, Manuel Chica, David P Pancho, Sergio Damas, Oscar Cordon
An appropriate visualization of multiobjective nondominated solutions is a valuable asset for decision making. Although there are methods for visualizing the solutions in the design space, they do not provide any information about their relationship. In this paper, we propose a novel methodology that allows the visualization of the nondominated solutions in the design space and their relationships by means of a network. The nodes represent the solutions in the objective space while the edges show the relationships among the solutions in the design space...
January 16, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28103563/effective-glottal-instant-detection-and-electroglottographic-parameter-extraction-for-automated-voice-pathology-assessment
#8
Pranav Deshpande, M Sabarimalai Manikandan
Accurate determination of glottal instants and electroglottographic (EGG) parameters is most important in voice pathology analysis including multiple voice disorders: neurological, functional, and laryngeal diseases. In this paper, we present a new effective method for reliable detection of glottal instants and EGG parameters from an EGG signal composed of voiced and non-voice segments. In the first stage, we present an adaptive variational mode decomposition (aVMD) based algorithm for suppressing low-frequency artifacts and additive high-frequency noises...
January 17, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28103560/identifying-objective-and-subjective-words-via-topic-modeling
#9
Hanqi Wang, Fei Wu, Weiming Lu, Yi Yang, Xi Li, Xuelong Li, Yueting Zhuang
It is observed that distinct words in a given document have either strong or weak ability in delivering facts (i.e., the objective sense) or expressing opinions (i.e., the subjective sense) depending on the topics they associate with. Motivated by the intuitive assumption that different words have varying degree of discriminative power in delivering the objective sense or the subjective sense with respect to their assigned topics, a model named as identified objective-subjective latent Dirichlet allocation (LDA) (iosLDA) is proposed in this paper...
January 17, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28103558/effective-multi-query-expansions-collaborative-deep-networks-based-feature-learning-for-robust-landmark-retrieval
#10
Yang Wang, Xuemin Lin, Lin Wu, Wenjie Zhang
Given a query photo issued by a user (q-user), the landmark retrieval is to return a set of photos with their landmarks similar to those of the query, while the existing studies on the landmark retrieval focus on exploiting geometries of landmarks for similarity matches between candidate photos and a query photo. We observe that the same landmarks provided by different users over social media community may convey different geometry information depending on the viewpoints and/or angles, and may subsequently yield very different results...
January 18, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28103551/ultrasound-flow-mapping-for-the-investigation-of-crystal-growth
#11
Norman Thieme, Paul Bonisch, Dagmar Meier, Richard Nauber, Lars Buttner, Kaspars Dadzis, Olf Patzold, Lamine Sylla, Jurgen Czarske
A high energy conversion and cost efficiency are keys for the transition to renewable energy sources, e.g. solar cells. The efficiency of multi-crystalline solar cells can be improved by enhancing the understanding of its crystallization process, especially the directional solidification. In this paper, a novel measurement system for the characterization of flow phenomena and solidification processes in low-temperature model experiments on the basis of ultrasound Doppler velocimetry is described. It captures turbulent flow phenomena in two planes with a frame rate of 3...
January 16, 2017: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
https://www.readbyqxmd.com/read/28103549/cardiac-image-reconstruction-via-non-linear-motion-correction-based-on-partial-angle-reconstructed-images
#12
Seungeon Kim, Yongjin Chang, Jong Beom Ra
Even though the X-ray CT scan is considered suitable for fast imaging, motion-artifact-free cardiac imaging is still an important issue because the gantry rotation speed is not fast enough compared with the heart motion. To obtain a heart image with less motion artifacts, a motion estimation (ME) and motion compensation (MC) approach is usually adopted. In this paper, we propose a ME/MC algorithm that can estimate a non-linear heart motion model from a sinogram with a rotation angle of less than 360°. In this algorithm, we first assume the heart motion to be non-rigid but linear, and thereby estimate an initial 4D motion vector field (MVF) during a half rotation by using conjugate partial angle reconstructed images, as in our previous ME/MC algorithm...
January 17, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28103548/dimensionality-reduction-on-spd-manifolds-the-emergence-of-geometry-aware-methods
#13
Mehrtash Harandi, Mathieu Salzmann, Richard Hartley
Representing images and videos with Symmetric Positive Definite (SPD) matrices, and considering the Riemannian geometry of the resulting space, has been shown to yield high discriminative power in many visual recognition tasks. Unfortunately, computation on the Riemannian manifold of SPD matrices -especially of high-dimensional ones- comes at a high cost that limits the applicability of existing techniques. In this paper, we introduce algorithms able to handle high-dimensional SPD matrices by constructing a lower-dimensional SPD manifold...
January 18, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28103501/congenital-embryonal-rhabdomyosarcoma-multiple-lesions
#14
Heidarali Esmaeili, Mahzad Azimpouran
INTRODUCTION: Congenital or neonatal rhabdomyosarcoma (RMS) is a rare soft tissue tumor with the most common sites of origin in genitourinary tract, head, and neck regions and extremities are less commonly involved. PRESENTATION OF CASE: In this paper, a case of embryonal RMS with skin lesions, lymph nodes metastasis, and bone marrow metastasis is reported for a 1-month old female patient. DISCUSSION: This study presents how within 8-months of chemotherapy, the lesions got subsided and the patient became disease free...
January 5, 2017: International Journal of Surgery Case Reports
https://www.readbyqxmd.com/read/28103477/a-brief-history-of-long-term-potentiation
#15
REVIEW
Roger A Nicoll
Since the discovery of long-term potentiation (LTP) in 1973, thousands of papers have been published on this intriguing phenomenon, which provides a compelling cellular model for learning and memory. Although LTP has suffered considerable growing pains over the years, LTP has finally come of age. Here the rich history of LTP is reviewed. These are exciting times and the pace of discovery is remarkable.
January 18, 2017: Neuron
https://www.readbyqxmd.com/read/28103471/new-light-on-gamma-oscillations
#16
Cristin G Welle, Diego Contreras
Two papers in this issue of Neuron by Saleem et al. (2017) and Storchi et al. (2017) show that increases in background light intensity trigger proportional increases in narrowband gamma oscillations with a peak at 60 Hz in retina, lateral geniculate, and primary visual cortex of the mouse visual system.
January 18, 2017: Neuron
https://www.readbyqxmd.com/read/28103467/-investigation-of-genetic-etiology-in-neurodegenerative-dementias-recommendations-from-the-centro-hospitalar-s%C3%A3-o-jo%C3%A3-o-neurogenetics-group
#17
João Massano, Miguel Leão, Carolina Garrett
In the past few years several gene mutations have been identified as causative of the most frequent neurodegenerative dementias (Alzheimer disease and frontotemporal dementia). These advances, along with the complex phenotype-genotype relationships and the costs associated with genetic testing, have often made it difficult for clinicians to decide with regard to a rational plan for the investigation of the genetic etiology of the degenerative dementias. The Centro Hospitalar São João Neurogenetics Group, a multidisciplinary team of Neurologists and Geneticists with special interest in neurogenetic disorders, devised consensus recommendations for the investigation of the genetic etiology of Alzheimer disease and frontotemporal dementia in clinical practice, based on international consensus documents (currently containing partly outdated information) and published scientific evidence on this topic...
October 2016: Acta Médica Portuguesa
https://www.readbyqxmd.com/read/28103451/-comment-to-the-paper-cultural-competence-in-intervention-with-immigrants-a-comparative-analysis-between-health-professionals-social-workers-and-police-officers
#18
EDITORIAL
Fernando Luís Machado
No abstract text is available yet for this article.
October 2016: Acta Médica Portuguesa
https://www.readbyqxmd.com/read/28103450/paper-based-analytical-devices-for-clinical-diagnosis-recent-advances-in-the-fabrication-techniques-and-sensing-mechanisms
#19
Mazhar Sher, Rachel Zhuang, Utkan Demirci, Waseem Asghar
There is a significant interest in developing inexpensive portable biosensing platforms for various applications including disease diagnostics, environmental monitoring, food safety, and water testing at the point-of-care (POC) settings. Current diagnostic assays available in the developed world require sophisticated laboratory infrastructure and expensive reagents. Hence, they are not suitable for resource-constrained settings with limited financial resources, basic health infrastructure, and few trained technicians...
January 19, 2017: Expert Review of Molecular Diagnostics
https://www.readbyqxmd.com/read/28103404/hermeneutic-phenomenological-analysis-the-possibility-beyond-actuality-in-thematic-analysis
#20
Ken H M Ho, Vico C L Chiang, Doris Leung
AIMS: This paper discusses the ways researchers may become open to manifold interpretations of lived experience through thematic analysis that follows the tradition of hermeneutic phenomenology. BACKGROUND: Martin Heidegger's thinking about historical contexts of understandings and the notions of 'alētheia' and 'techne' disclose what he called meaning of lived experience, as the 'unchanging Being of changing beings'. While these notions remain central to hermeneutic phenomenological research, novice phenomenologists usually face the problem of how to incorporate these philosophical tenets into thematic analysis...
January 19, 2017: Journal of Advanced Nursing
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