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https://www.readbyqxmd.com/read/27913721/application-based-hearing-screening-in-the-elderly-population
#1
Leonid Livshitz, Reem Ghanayim, Carmi Kraus, Raymond Farah, Ella Even-Tov, Yaniv Avraham, Adi Sharabi-Nov, Peter Gilbey
OBJECTIVES: The effects of age-related hearing loss are severe. Early detection is essential for maximum benefit. However, most hearing-impaired adults delay obtaining treatment. Diagnostic hearing testing at an appropriate facility is impractical, and new methods for screening audiometry aim to provide easy access for patients and reliable outcomes. The purpose of this study was to examine the accuracy of application-based hearing screening in an elderly population. METHODS: The uHear application was downloaded to an iPad...
January 2017: Annals of Otology, Rhinology, and Laryngology
https://www.readbyqxmd.com/read/27913368/content-driven-associative-memories-for-color-image-patterns
#2
Mingming Li, Shuzhi Sam Ge, Tong Heng Lee
This paper presents a novel content-driven associative memory (CDAM) to associate large-scale color images based on the subjects that represent the images' content. Compared to traditional associative memories, CDAM inherits their tolerance to random noise in images and possesses greater robustness against correlated noise that distorts an image's spatial contextual structure. A three-layer recurrent neural tensor network (RNTN) is designed as the network model of CDAM. Multiple salient objects detection algorithm and partial radial basis function (PRBF) kernel are proposed for subject determination and content-driven association, respectively...
November 29, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/27913349/adaptive-cascade-regression-model-for-robust-face-alignment
#3
Qingshan Liu, Jiankang Deng, Jing Yang, Guangcan Liu, Dacheng Tao
Cascade regression is a popular face alignment approach, and it has achieved good performances on the wild databases. However, it depends heavily on local features in estimating reliable landmark locations and therefore suffers from corrupted images, such as images with occlusion, which often exists in real-world face images. In this paper, we present a new adaptive cascade regression model for robust face alignment. In each iteration, the shape-indexed appearance is introduced to estimate the occlusion level of each landmark, and each landmark is then weighted according to its estimated occlusion level...
December 1, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/27913340/efficient-3d-reconstruction-in-ultrasound-elastography-via-a-sparse-iteration-based-on-markov-random-fields
#4
Atul Ingle, Tomy Varghese, William Sethares
Percutaneous needle-based liver ablation procedures are becoming increasingly common for treatment of small isolated tumors in hepatocellular carcinoma patients who are not candidates for surgery. Rapid three dimensional visualization of liver ablations has potential clinical value because it can enable interventional radiologists to plan and execute needle-based ablation procedures with real time feedback. Ensuring the right volume of tissue is ablated is desirable to avoid recurrence of tumors from residual untreated cancerous cells...
November 29, 2016: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
https://www.readbyqxmd.com/read/27913327/a-sparse-reconstruction-framework-for-fourier-based-plane-wave-imaging
#5
Adrien Besson, Miaomiao Zhang, Francois Varray, Herve Liebgott, Denis Friboulet, Yves Wiaux, Jean-Philippe Thiran, Rafael E Carrillo, Olivier Bernard
Ultrafast imaging based on plane-wave (PW) insonification is an active area of research due to its capability of reaching high frame rates. Among PW imaging methods, Fourier-based approaches have demonstrated to be competitive compared with traditional delay and sum methods. Motivated by the success of compressed sensing techniques in other Fourier imaging modalities, like magnetic resonance imaging, we propose a new sparse regularization framework to reconstruct highquality ultrasound (US) images. The framework takes advantage of both the ability to formulate the imaging inverse problem in the Fourier domain and the sparsity of US images in a sparsifying domain...
December 2016: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
https://www.readbyqxmd.com/read/27913324/beamforming-through-regularized-inverse-problems-in-ultrasound-medical-imaging
#6
Teodora Szasz, Adrian Basarab, Denis Kouame
Beamforming (BF) in ultrasound (US) imaging has significant impact on the quality of the final image, controlling its resolution and contrast. Despite its low spatial resolution and contrast, delay-and-sum (DAS) is still extensively used nowadays in clinical applications, due to its real-time capabilities. The most common alternatives are minimum variance (MV) method and its variants, which overcome the drawbacks of DAS, at the cost of higher computational complexity that limits its utilization in real-time applications...
December 2016: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
https://www.readbyqxmd.com/read/27913321/deterioration-of-r-wave-detection-in-pathology-and-noise-a-comprehensive-analysis-using-simultaneous-truth-and-performance-level-estimation
#7
Muhammad Kashif, Stephan Jonas, Thomas Deserno
OBJECTIVE: For long-term electrocardiography (ECG) recordings, accurate R-wave detection is essential. Several algorithms have been proposed but not yet compared on large, noisy, or pathological data, since manual ground truth establishment is impossible on such large data. METHODS: We apply the simultaneous truth and performance level estimation (STAPLE) method to ECG signals comparing 9 R-wave detectors: Pan & Tompkins (1985), Chernenko (2007), Arzeno et al. (2008), Manikandan et al...
December 1, 2016: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/27913315/speech-enhancement-based-on-neural-networks-improves-speech-intelligibility-in-noise-for-cochlear-implant-users
#8
Tobias Goehring, Federico Bolner, Jessica J M Monaghan, Bas van Dijk, Andrzej Zarowski, Stefan Bleeck
Speech understanding in noisy environments is still one of the major challenges for cochlear implant (CI) users in everyday life. We evaluated a speech enhancement algorithm based on neural networks (NNSE) for improving speech intelligibility in noise for CI users. The algorithm decomposes the noisy speech signal into time-frequency units, extracts a set of auditory-inspired features and feeds them to the neural network to produce an estimation of which frequency channels contain more perceptually important information (higher signal-to-noise ratio, SNR)...
November 29, 2016: Hearing Research
https://www.readbyqxmd.com/read/27913314/audiologic-characteristics-in-a-sample-of-recently-separated-military-veterans-the-noise-outcomes-in-servicemembers-epidemiology-study-noise-study
#9
J S Gordon, S E Griest, E J Thielman, K C Carlson, W J Helt, M S Lewis, C Blankenship, D Austin, S M Theodoroff, J A Henry
Military Service Members are often exposed to high levels of occupational noise, solvents, and other exposures that can be damaging to the auditory system. Little is known about hearing loss and how it progresses in Veterans following military service. This epidemiology study is designed to evaluate and monitor a cohort of Veterans for 20 years or more to determine how hearing loss changes over time and how those changes are related to noise exposure and other ototoxic exposures encountered during military service...
November 29, 2016: Hearing Research
https://www.readbyqxmd.com/read/27913107/the-influence-of-iterative-reconstruction-on-coronary-artery-calcium-scoring-phantom-and-clinical-studies
#10
Seitaro Oda, Daisuke Utsunomiya, Takeshi Nakaura, Yoshinori Funama, Hideaki Yuki, Masafumi Kidoh, Kenichiro Hirata, Narumi Taguchi, Keiichi Honda, Hiroko Takaoka, Yuji Iyama, Kazuhiro Katahira, Katsuo Noda, Shuichi Oshima, Shinichi Tokuyasu, Yasuyuki Yamashita
RATIONALE AND OBJECTIVES: We compared the effect of iterative model reconstruction (IMR), filtered back projection (FBP), and hybrid iterative reconstruction (HIR) on coronary artery calcium (CAC) scoring. MATERIALS AND METHODS: CAC scans of 30 consecutive patients (18 men and 12 women, age 70.1 ± 12.2 years) were reconstructed with FBP, HIR, and IMR, and the image noise was measured on all images. Two radiologists independently measured the CAC scores using semiautomated software, and interobserver agreement was evaluated...
November 29, 2016: Academic Radiology
https://www.readbyqxmd.com/read/27913020/influences-of-combined-traffic-noise-on-anxiety-in-mice
#11
Guoqing Di, Yaqian Xu
With the rapid development of traffic facilities in China, traffic noise pollution is increasingly prominent. This research aims to explore the influences of combined traffic noise on receptors' anxiety. Institute of cancer research mice were exposed to combined traffic noise (CTN) from highway and high-speed railway for 52days, whose day-night equivalent continuous A-weighted sound pressure level (Ldn) was 70dB(A). The impacts of CTN on anxiety were explored by behavior tests and monoamine neurotransmitter assays...
November 29, 2016: Science of the Total Environment
https://www.readbyqxmd.com/read/27912967/qualitative-analysis-of-copaifera-oleoresin-using-comprehensive-two-dimensional-gas-chromatography-and-gas-chromatography-with-classical-and-cold-electron-ionisation-mass-spectrometry
#12
Yong Foo Wong, Thais M Uekane, Claudia M Rezende, Humberto R Bizzo, Philip J Marriott
Improved separation of both sesquiterpenes and diterpenic acids in Copaifera multijuga Hayne oleoresin, is demonstrated by using comprehensive two-dimensional gas chromatography (GC×GC) coupled to accurate mass time-of-flight mass spectrometry (accTOFMS). GC×GC separation employs polar phases (including ionic liquid phases) as the first dimension ((1)D) column, combined with a lower polarity (2)D phase. Elution temperatures (Te) of diterpenic acids (in methyl ester form, DAME) increased as the (1)D McReynolds' polarity value of the column phase decreased...
November 22, 2016: Journal of Chromatography. A
https://www.readbyqxmd.com/read/27912894/self-generation-and-positivity-effects-following-transcranial-random-noise-stimulation-in-medial-prefrontal-cortex-a-reality-monitoring-task-in-older-adults
#13
Nicola Mammarella, Alberto Di Domenico, Rocco Palumbo, Beth Fairfield
Activation of medial Prefrontal Cortex (mPFC) has been typically found during reality monitoring tasks (i.e., distinguishing between internal self-generated vs external information). No study, however, has yet investigated whether transcranial Random Noise Stimulation (tRNS) over the mPFC leads to a reduction in reality-monitoring misattributions in aging. In particular, stimulating mPFC should increase the number of cognitive operations engaged while encoding and this distinctive information may help older adults to discriminate between internal and external sources better...
November 15, 2016: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/27912167/beamstop-based-low-background-ptychography-to-image-weakly-scattering-objects
#14
Juliane Reinhardt, Robert Hoppe, Georg Hofmann, Christian D Damsgaard, Jens Patommel, Christoph Baumbach, Sina Baier, Amélie Rochet, Jan-Dierk Grunwaldt, Gerald Falkenberg, Christian G Schroer
In recent years, X-ray ptychography has been established as a valuable tool for high-resolution imaging. Nevertheless, the spatial resolution and sensitivity in coherent diffraction imaging are limited by the signal that is detected over noise and over background scattering. Especially, coherent imaging of weakly scattering specimens suffers from incoherent background that is generated by the interaction of the central beam with matter along its propagation path in particular close to and inside of the detector...
November 14, 2016: Ultramicroscopy
https://www.readbyqxmd.com/read/27912066/cell-type-specific-optical-recording-of-membrane-voltage-dynamics-in-freely-moving-mice
#15
Jesse D Marshall, Jin Zhong Li, Yanping Zhang, Yiyang Gong, François St-Pierre, Michael Z Lin, Mark J Schnitzer
Electrophysiological field potential dynamics are of fundamental interest in basic and clinical neuroscience, but how specific cell types shape these dynamics in the live brain is poorly understood. To empower mechanistic studies, we created an optical technique, TEMPO, that records the aggregate trans-membrane voltage dynamics of genetically specified neurons in freely behaving mice. TEMPO has >10-fold greater sensitivity than prior fiber-optic techniques and attains the noise minimum set by quantum mechanical photon shot noise...
December 1, 2016: Cell
https://www.readbyqxmd.com/read/27911950/a-specialized-multi-transmit-head-coil-for-high-resolution-fmri-of-the-human-visual-cortex-at-7t
#16
Shubharthi Sengupta, Alard Roebroeck, Valentin G Kemper, Benedikt A Poser, Jan Zimmermann, Rainer Goebel, Gregor Adriany
PURPOSE: To design, construct and validate radiofrequency (RF) transmit and receive phased array coils for high-resolution visual cortex imaging at 7 Tesla. METHODS: A 4 channel transmit and 16 channel receive array was constructed on a conformal polycarbonate former. Transmit field efficiency and homogeneity were simulated and validated, along with the Specific Absorption Rate, using [Formula: see text] mapping techniques and electromagnetic simulations. Receiver signal-to-noise ratio (SNR), temporal SNR (tSNR) across EPI time series, g-factors for accelerated imaging and noise correlations were evaluated and compared with a commercial 32 channel whole head coil...
2016: PloS One
https://www.readbyqxmd.com/read/27911933/driving-cells-to-the-desired-state-in-a-bimodal-distribution-through-manipulation-of-internal-noise-with-biologically-practicable-approaches
#17
Che-Chi Shu, Chen-Chao Yeh, Wun-Sin Jhang, Shih-Chiang Lo
The stochastic nature of gene regulatory networks described by Chemical Master Equation (CME) leads to the distribution of proteins. A deterministic bistability is usually reflected as a bimodal distribution in stochastic simulations. Within a certain range of the parameter space, a bistable system exhibits two stable steady states, one at the low end and the other at the high end. Consequently, it appears to have a bimodal distribution with one sub-population (mode) around the low end and the other around the high end...
2016: PloS One
https://www.readbyqxmd.com/read/27911808/exploration-of-joint-redundancy-but-not-task-space-variability-facilitates-supervised-motor-learning
#18
Puneet Singh, Sumitash Jana, Ashitava Ghosal, Aditya Murthy
The number of joints and muscles in a human arm is more than what is required for reaching to a desired point in 3D space. Although previous studies have emphasized how such redundancy and the associated flexibility may play an important role in path planning, control of noise, and optimization of motion, whether and how redundancy might promote motor learning has not been investigated. In this work, we quantify redundancy space and investigate its significance and effect on motor learning. We propose that a larger redundancy space leads to faster learning across subjects...
November 29, 2016: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/27911801/mechanical-bounds-to-transcriptional-noise
#19
Stuart A Sevier, David A Kessler, Herbert Levine
Over the past several decades it has been increasingly recognized that stochastic processes play a central role in transcription. Although many stochastic effects have been explained, the source of transcriptional bursting (one of the most well-known sources of stochasticity) has continued to evade understanding. Recent results have pointed to mechanical feedback as the source of transcriptional bursting, but a reconciliation of this perspective with preexisting views of transcriptional regulation is lacking...
November 22, 2016: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/27911787/data-driven-parameterization-of-the-generalized-langevin-equation
#20
Huan Lei, Nathan A Baker, Xiantao Li
We present a data-driven approach to determine the memory kernel and random noise in generalized Langevin equations. To facilitate practical implementations, we parameterize the kernel function in the Laplace domain by a rational function, with coefficients directly linked to the equilibrium statistics of the coarse-grain variables. We show that such an approximation can be constructed to arbitrarily high order and the resulting generalized Langevin dynamics can be embedded in an extended stochastic model without explicit memory...
November 29, 2016: Proceedings of the National Academy of Sciences of the United States of America
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