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https://www.readbyqxmd.com/read/28092861/a-deafening-flash-visual-interference-of-auditory-signal-detection
#1
Christopher Fassnidge, Claudia Cecconi Marcotti, Elliot Freeman
In some people, visual stimulation evokes auditory sensations. How prevalent and how perceptually real is this? 22% of our neurotypical adult participants responded 'Yes' when asked whether they heard faint sounds accompanying flash stimuli, and showed significantly better ability to discriminate visual 'Morse-code' sequences. This benefit might arise from an ability to recode visual signals as sounds, thus taking advantage of superior temporal acuity of audition. In support of this, those who showed better visual relative to auditory sequence discrimination also had poorer auditory detection in the presence of uninformative visual flashes, though this was independent of awareness of visually-evoked sounds...
January 13, 2017: Consciousness and Cognition
https://www.readbyqxmd.com/read/28092829/enhancing-4-propylheptane-dissociation-with-nickel-nanocluster-based-on-molecular-dynamics-simulations
#2
Margarita G Ilyina, Edward M Khamitov, Rail N Galiakhmetov, Ildar A Mustafin, Akhat G Mustafin
In the present work, a 0.4nm nickel cluster has been theoretically studied. Its equilibrium structural parameters have been calculated by the DFT method based on the PBEH1PBE hybrid functional and split-valence basis set Lanl2DZ including effective core potentials. We have systematically considered diverse spin states of this cluster and find out its ground state. The relative stability of these states depends on the HOMO-LUMO gap. The interaction of the Ni6 with 4-propylheptane С10Н22 has been studied to simulate the process of catalytic cracking of hydrocarbons...
January 3, 2017: Journal of Molecular Graphics & Modelling
https://www.readbyqxmd.com/read/28092785/integrated-ssfp-for-functional-brain-mapping-at-7t-with-reduced-susceptibility-artifact
#3
Kaibao Sun, Rong Xue, Peng Zhang, Zhentao Zuo, Zhongwei Chen, Bo Wang, Thomas Martin, Yi Wang, Lin Chen, Sheng He, Danny J J Wang
Balanced steady-state free precession (bSSFP) offers an alternative and potentially important tool to the standard gradient-echo echo-planar imaging (GE-EPI) for functional MRI (fMRI). Both passband and transition band based bSSFP have been proposed for fMRI. The applications of these methods, however, are limited by banding artifacts due to the sensitivity of bSSFP signal to off-resonance effects. In this article, a unique case of the SSFP-FID sequence, termed integrated-SSFP or iSSFP, was proposed to overcome the obstacle by compressing the SSFP profile into the width of a single voxel...
December 30, 2016: Journal of Magnetic Resonance
https://www.readbyqxmd.com/read/28092778/electrocortical-consequences-of-image-processing-the-influence-of-working-memory-load-and-worry
#4
Evan J White, DeMond M Grant
Research suggests that worry precludes emotional processing as well as biases attentional processes. Although there is burgeoning evidence for the relationship between executive functioning and worry, more research in this area is needed. A recent theory suggests one mechanism for the negative effects of worry on neural indicators of attention may be working memory load, however few studies have examined this directly. The goal of the current study was to document the influence of both visual and verbal working memory load and worry on attention allocation during processing of emotional images in a cued image paradigm...
January 10, 2017: Psychiatry Research
https://www.readbyqxmd.com/read/28092651/long-lasting-antinociceptive-effects-of-green-light-in-acute-and-chronic-pain-in-rats
#5
Mohab M Ibrahim, Amol Patwardhan, Kerry B Gilbraith, Aubin Moutal, Xiaofang Yang, Lindsey A Chew, Tally Largent-Milnes, T Philip Malan, Todd W Vanderah, Frank Porreca, Rajesh Khanna
Treatments for chronic pain are inadequate, and new options are needed. Nonpharmaceutical approaches are especially attractive with many potential advantages including safety. Light therapy has been suggested to be beneficial in certain medical conditions such as depression, but this approach remains to be explored for modulation of pain. We investigated the effects of light-emitting diodes (LEDs), in the visible spectrum, on acute sensory thresholds in naive rats as well as in experimental neuropathic pain...
February 2017: Pain
https://www.readbyqxmd.com/read/28092643/physical-activity-and-sedentary-time-among-children-with-disabilities-at-school
#6
Cindy H P Sit, Thomas L McKenzie, Ester Cerin, Bik C Chow, Wendy Y Huang, Jie Yu
PURPOSES: Physical activity (PA) is important for the development of children with disabilities, but rarely does this population meet the recommended standards. Schools are salient locations for PA, but little is known about how specific school settings affect the PA of children with diverse disabilities. We assessed PA and sedentary time (ST) of children with disabilities in three school settings (physical education, recess, lunchtime). METHODS: Participants included 259 children from 13 Hong Kong special schools for five primary disabilities: visual impairments, hearing impairments, physical disabilities, intellectual disabilities, and social development problems...
February 2017: Medicine and Science in Sports and Exercise
https://www.readbyqxmd.com/read/28092623/ultrasonography-a-method-used-for-pregnancy-imaging-of-the-fire-salamander-salamandra-salamandra
#7
A Najbar, Z Kiełbowicz, J Szymczak, M Ogielska
Ultrasound imaging has more frequently been used in veterinary medicine of amphibians and reptiles. In this study, we have verified the usefulness of ultrasound imaging in pregnancy determination of the fire salamander Salamandra salamandra. We have also undertaken to estimate the number of larvae and their developmental stage directly in the oviducts. Three gravid females from Lower Silesia (southern Poland) were examined. Due to the small size of the scanned animals, and the particular arrangement of embryos in the oviducts and ultrasound beams dispersal, the method proved to be inaccurate...
December 1, 2016: Polish Journal of Veterinary Sciences
https://www.readbyqxmd.com/read/28092594/adaptive-trajectory-tracking-of-nonholonomic-mobile-robots-using-vision-based-position-and-velocity-estimation
#8
Luyang Li, Yun-Hui Liu, Tianjiao Jiang, Kai Wang, Mu Fang
Despite tremendous efforts made for years, trajectory tracking control (TC) of a nonholonomic mobile robot (NMR) without global positioning system remains an open problem. The major reason is the difficulty to localize the robot by using its onboard sensors only. In this paper, a newly designed adaptive trajectory TC method is proposed for the NMR without its position, orientation, and velocity measurements. The controller is designed on the basis of a novel algorithm to estimate position and velocity of the robot online from visual feedback of an omnidirectional camera...
January 16, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28092584/temporally-coherent-illumination-normalization-for-indocyanine-green-video-angiography
#9
Wei-Yang Lin, Shu-Fu Chou, Chia-Ling Tsai, Shih-Jen Chen
Indocyanine green (ICG) angiography is an imaging method for Doctors to observe choroidal abnormalities in human eyes. The ICG angiograms typically exhibit inhomogeneous illumination which poses serious difficulties for the development of computer-aided diagnostic tools. In this paper, we propose a novel illumination normalization method to alleviate the inhomogeneous illumination in ICG video angiograms. In particular, we first align the viewpoint of the input ICG video angiogram using an image registration method...
January 16, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28092562/line-graph-or-scatter-plot-automatic-selection-of-methods-for-visualizing-trends-in-time-series
#10
Yunhai Wang, Fubo Han, Lifeng Zhu, Oliver Deussen, Baoquan Chen
Line graphs are usually considered to be the best choice for visualizing time series data, whereas sometimes also scatter plots are used for showing main trends. So far there are no guidelines that indicate which of these visualization methods better display trends in time series for a given canvas. Assuming that the main information in a time series is its overall trend, we propose an algorithm that automatically picks the visualization method that reveals this trend best. This is achieved by measuring the visual consistency between the trend curve represented by a LOESS fit and the trend described by a scatter plot or a line graph...
January 16, 2017: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/28092558/discriminant-context-information-analysis-for-post-ranking-person-re-identification
#11
Jorge Garcia, Niki Martinel, Alfredo Gardel, Ignacio Bravo, Gian Luca Foresti, Christian Micheloni
Existing approaches for person re-identification are mainly based on creating distinctive representations or on learning optimal metrics. The achieved results are then provided in form of a list of ranked matching persons. It often happens that the true match is not ranked first but it is in the first positions. This is mostly due to the visual ambiguities shared between the true match and other "similar" persons. At the current state, there is a lack of a study of such visual ambiguities which limit the re-identification performance within the first ranks...
January 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28092556/study-of-saliency-in-objective-video-quality-assessment
#12
Wei Zhang, Hantao Liu
Reliably predicting video quality as perceived by humans remains challenging and is of high practical relevance. A significant research trend is to investigate visual saliency and its implications for video quality assessment. Fundamental problems regarding how to acquire reliable eye-tracking data for the purpose of video quality research and how saliency should be incorporated in objective video quality metrics (VQMs) are largely unsolved. In this paper, we propose a refined methodology for reliably collecting eye-tracking data, which essentially eliminates bias induced by each subject having to view multiple variations of the same scene in a conventional experiment...
January 10, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28092551/hierarchical-image-segmentation-based-on-iterative-contraction-and-merging
#13
Jia-Hao Syu, Sheng-Jyh Wang, Li-Chun Wang
In this paper, we propose a new framework for hierarchical image segmentation based on iterative contraction and merging (ICM). In the proposed framework, we treat the hierarchical image segmentation problem as a sequel of optimization problems, with each optimization process being realized by a contraction-and-merging process to identify and merge the most similar data pairs at the current resolution. At the beginning, we perform pixel-based contraction and merging to quickly combine image pixels into initial region-elements with visually indistinguishable intra-region color difference...
January 11, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28092549/learning-short-binary-codes-for-large-scale-image-retrieval
#14
Li Liu, Mengyang Yu, Ling Shao
Large-scale visual information retrieval has become an active research area in this big data era. Recently, hashing/ binary coding algorithms prove to be effective for scalable retrieval applications. Most existing hashing methods require relatively long binary codes (i.e., over hundreds of bits, sometimes even thousands of bits) to achieve reasonable retrieval accuracies. However, for some realistic and unique applications such as on wearable or mobile devices, only short binary codes can be used for efficient image retrieval due to the limitation of computational resources or bandwidth on these devices...
January 11, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28092548/linear-spectral-clustering-superpixel
#15
Jiansheng Chen, Zhengqin Li, Bo Huang
In this paper, we present a superpixel segmentation algorithm called linear spectral clustering (LSC), which is capable of producing superpixels with both high boundary adherence and visual compactness for natural images with low computational costs. In LSC, a normalized cuts based formulation of image segmentation is adopted using a distance metric that measures both the color similarity and the space proximity between image pixels. However, rather than directly using the traditional eigen-based algorithm, we approximate the similarity metric through a deliberately designed kernel function such that pixel values can be explicitly mapped to a high-dimensional feature space...
January 11, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28092544/discriminative-multi-view-interactive-image-re-ranking
#16
Jun Li, Chang Xu, Wankou Yang, Changyin Sun, Dacheng Tao
-Given unreliable visual patterns and insufficient query information, content-based image retrieval (CBIR) is often suboptimal and requires image re-ranking using auxiliary information. In this paper, we propose Discriminative Multi-view INTeractive Image Re-ranking (DMINTIR), which integrates User Relevance Feedback (URF) capturing users' intentions and multiple features that sufficiently describe the images. In DMINTIR, heterogeneous property features are incorporated in the multi-view learning scheme to exploit their complementarities...
January 10, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28092535/super-resolution-person-re-identification-with-semi-coupled-low-rank-discriminant-dictionary-learning
#17
Xiao-Yuan Jing, Xiaoke Zhu, Fei Wu, Ruimin Hu, Xinge You, Yunhong Wang, Hui Feng, Jing-Yu Yang
Person re-identification has been widely studied due to its importance in surveillance and forensics applications. In practice, gallery images are high-resolution (HR) while probe images are usually low-resolution (LR) in the identification scenarios with large variation of illumination, weather or quality of cameras. Person re-identification in this kind of scenarios, which we call super-resolution (SR) person re-identification, has not been well studied. In this paper, we propose a semi-coupled low-rank discriminant dictionary learning (SLD2L) approach for SR person re-identification task...
January 10, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28092521/measuring-and-predicting-tag-importance-for-image-retrieval
#18
Shangwen Li, Sanjay Purushotham, Chen Chen, Yuzhuo Ren, C-C Jay Kuo
Textual data such as tags, sentence descriptions are combined with visual cues to reduce the semantic gap for image retrieval applications in today's Multimodal Image Retrieval (MIR) systems. However, all tags are treated as equally important in these systems, which may result in misalignment between visual and textual modalities during MIR training. This will further lead to degenerated retrieval performance at query time. To address this issue, we investigate the problem of tag importance prediction, where the goal is to automatically predict the tag importance and use it in image retrieval...
January 11, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28092441/local-mode-analysis-decoding-ir-spectra-by-visualizing-molecular-details
#19
Matthias Massarczyk, Till Rudack, Jürgen Schlitter, Jens Kuhne, Carsten Kötting, Klaus Gerwert
Integration of experimental and computational approaches to investigate chemical reactions in proteins has proven to be very successful. Experimentally, time-resolved FTIR difference-spectroscopy monitors chemical reactions at atomic detail. To decode detailed structural information encoded in IR spectra, QM/MM calculations are performed. Here, we present a novel method which we call Local Mode Analysis (LMA) for calculating IR spectra and assigning spectral IR bands on the basis of movements of nuclei and partial charges from just a single QM/MM trajectory...
January 16, 2017: Journal of Physical Chemistry. B
https://www.readbyqxmd.com/read/28092434/3d-probed-lipid-dynamics-in-small-unilamellar-vesicles
#20
Meng-Hsuan Chao, Yen-Ting Lin, Namasivayam Dhenadhayalan, Hsin-Lung Lee, Hsin-Yen Lee, King-Chuen Lin
Single-molecule fluorescence correlation spectroscopy overcomes the resolution barrier of optical microscopy (10≈-20 nm) and is utilized to look into lipid dynamics in small unilamellar vesicles (SUVs; diameter < 100 nm). The fluorescence trajectories of lipid-like tracer 1,1'-dioctadecyl-3,3,3',3'-tetramethylindodicarbocyanine (DiD) in the membrane bilayers are acquired at a single-molecule level. The autocorrelation analysis yields the kinetic information on lipid organization, oxygen transport, and lateral diffusion in SUVs' membrane...
January 16, 2017: Small
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