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https://www.readbyqxmd.com/read/27909000/distinct-contributions-of-dorsal-and-ventral-streams-to-imitation-of-tool-use-and-communicative-gestures
#1
Andrea Dressing, Kai Nitschke, Dorothee Kümmerer, Tobias Bormann, Lena Beume, Charlotte S M Schmidt, Vera M Ludwig, Irina Mader, Klaus Willmes, Michel Rijntjes, Christoph P Kaller, Cornelius Weiller, Markus Martin
Imitation of tool-use gestures (transitive; e.g., hammering) and communicative emblems (intransitive; e.g., waving goodbye) is frequently impaired after left-hemispheric lesions. We aimed 1) to identify lesions related to deficient transitive or intransitive gestures, 2) to delineate regions associated with distinct error types (e.g., hand configuration, kinematics), and 3) to compare imitation to previous data on pantomimed and actual tool use. Of note, 156 patients (64.3 ± 14.6 years; 56 female) with first-ever left-hemispheric ischemic stroke were prospectively examined 4...
November 30, 2016: Cerebral Cortex
https://www.readbyqxmd.com/read/27908158/similarity-measurement-of-lung-masses-for-medical-image-retrieval-using-kernel-based-semisupervised-distance-metric
#2
Guohui Wei, He Ma, Wei Qian, Min Qiu
PURPOSE: To develop a new algorithm to measure the similarity between the query lung mass and reference lung mass data set for content-based medical image retrieval (CBMIR). METHODS: A lung mass data set including 746 mass regions of interest (ROIs) was assembled. Among them, 375 ROIs depicted malignant lesions and 371 depicted benign lesions. Each mass ROI is represented by a vector of 26 texture features. A kernel function was employed to map the original data in input space to a feature space...
December 2016: Medical Physics
https://www.readbyqxmd.com/read/27875222/locally-supervised-deep-hybrid-model-for-scene-recognition
#3
Sheng Guo, Weilin Huang, Limin Wang, Yu Qiao
Convolutional neural networks (CNN) have recently achieved remarkable successes in various image classification and understanding tasks. The deep features obtained at the top fully-connected layer of the CNN (FC-features) exhibit rich global semantic information and are extremely effective in image classification. On the other hand, the convolutional features in the middle layers of the CNN also contain meaningful local information, but are not fully explored for image representation. In this paper, we propose a novel Locally-Supervised Deep Hybrid Model (LS-DHM) that effectively enhances and explores the convolutional features for scene recognition...
November 16, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/27875217/automatic-scoring-of-multiple-semantic-attributes-with-multi-task-feature-leverage-a-study-on-pulmonary-nodules-in-ct-images
#4
Sihong Chen, Jing Qin, Xing Ji, Baiying Lei, Tianfu Wang, Dong Ni, Jie-Zhi Cheng
The gap between the computational and semantic features is the one of major factors that bottlenecks the computer-aided diagnosis (CAD) performance from clinical usage. To bridge this gap, we exploit three multi-task learning (MTL) schemes to leverage heterogeneous computational features derived from deep learning models of stacked denoising autoencoder (SDAE) and convolutional neural network (CNN), as well as hand-crafted Haar-like and HoG features, for the description of 9 semantic features for lung nodules in CT images...
November 16, 2016: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/27875201/categorical-colormap-optimization-with-visualization-case-studies
#5
H Fang, S Walton, E Delahaye, J Harris, D A Storchak, M Chen
Mapping a set of categorical values to different colors is an elementary technique in data visualization. Users of visualization software routinely rely on the default colormaps provided by a system, or colormaps suggested by software such as ColorBrewer. In practice, users often have to select a set of colors in a semantically meaningful way (e.g., based on conventions, color metaphors, and logological associations), and consequently would like to ensure their perceptual differentiation is optimized. In this paper, we present an algorithmic approach for maximizing the perceptual distances among a set of given colors...
January 2017: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/27862241/wordform-similarity-increases-with-semantic-similarity-an-analysis-of-100-languages
#6
Isabelle Dautriche, Kyle Mahowald, Edward Gibson, Steven T Piantadosi
Although the mapping between form and meaning is often regarded as arbitrary, there are in fact well-known constraints on words which are the result of functional pressures associated with language use and its acquisition. In particular, languages have been shown to encode meaning distinctions in their sound properties, which may be important for language learning. Here, we investigate the relationship between semantic distance and phonological distance in the large-scale structure of the lexicon. We show evidence in 100 languages from a diverse array of language families that more semantically similar word pairs are also more phonologically similar...
November 10, 2016: Cognitive Science
https://www.readbyqxmd.com/read/27861505/content-based-discovery-for-web-map-service-using-support-vector-machine-and-user-relevance-feedback
#7
Kai Hu, Zhipeng Gui, Xiaoqiang Cheng, Kunlun Qi, Jie Zheng, Lan You, Huayi Wu
Many discovery methods for geographic information services have been proposed. There are approaches for finding and matching geographic information services, methods for constructing geographic information service classification schemes, and automatic geographic information discovery. Overall, the efficiency of the geographic information discovery keeps improving., There are however, still two problems in Web Map Service (WMS) discovery that must be solved. Mismatches between the graphic contents of a WMS and the semantic descriptions in the metadata make discovery difficult for human users...
2016: PloS One
https://www.readbyqxmd.com/read/27830058/autoannotate-a-cytoscape-app-for-summarizing-networks-with-semantic-annotations
#8
Mike Kucera, Ruth Isserlin, Arkady Arkhangorodsky, Gary D Bader
Networks often contain regions of tightly connected nodes, or clusters, that highlight their shared relationships. An effective way to create a visual summary of a network is to identify clusters and annotate them with an enclosing shape and a summarizing label. Cytoscape provides the ability to annotate a network with shapes and labels, however these annotations must be created manually one at a time, which can be a laborious process. AutoAnnotate is a Cytoscape 3 App that automates the process of identifying clusters and visually annotating them...
2016: F1000Research
https://www.readbyqxmd.com/read/27808550/phonological-orthographic-consistency-for-japanese-words-and-its-impact-on-visual-and-auditory-word-recognition
#9
Yasushi Hino, Yuu Kusunose, Shinobu Miyamura, Stephen J Lupker
In most models of word processing, the degrees of consistency in the mappings between orthographic, phonological, and semantic representations are hypothesized to affect reading time. Following Hino, Miyamura, and Lupker's (2011) examination of the orthographic-phonological (O-P) and orthographic-semantic (O-S) consistency for 1,114 Japanese words (339 katakana and 775 kanji words), in the present research, we initially attempted to measure the phonological-orthographic (P-O) consistency for those same words...
November 3, 2016: Journal of Experimental Psychology. Human Perception and Performance
https://www.readbyqxmd.com/read/27798136/predictive-brain-mechanisms-in-sound-to-meaning-mapping-during-speech-processing
#10
Bingjiang Lyu, Jianqiao Ge, Zhendong Niu, Li Hai Tan, Jia-Hong Gao
: Spoken language comprehension relies not only on the identification of individual words, but also on the expectations arising from contextual information. A distributed frontotemporal network is known to facilitate the mapping of speech sounds onto their corresponding meanings. However, how prior expectations influence this efficient mapping at the neuroanatomical level, especially in terms of individual words, remains unclear. Using fMRI, we addressed this question in the framework of the dual-stream model by scanning native speakers of Mandarin Chinese, a language highly dependent on context...
October 19, 2016: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/27797761/isomorphic-semantic-mapping-of-variant-call-format-vcf2rdf
#11
Emanuel Diego S Penha, Egiebade Iriabho, Alex Dussaq, Diana Magalhães de Oliveira, Jonas S Almeida
: The move of computational genomics workflows to Cloud Computing platforms is associated with a new level of integration and interoperability that challenges existing data representation formats. The Variant Calling Format (VCF) is in a particularly sensitive position in that regard, with both clinical and consumer-facing analysis tools relying on this self-contained description of genomic variation in Next Generation Sequencing (NGS) results. In this report we identify an isomorphic map between VCF and the reference Resource Description Framework...
October 25, 2016: Bioinformatics
https://www.readbyqxmd.com/read/27795924/giving-meaning-to-tweets-in-emergency-situations-a-semantic-approach-for-filtering-and-visualizing-social-data
#12
Teresa Onorati, Paloma Díaz
In this paper, we propose a semantic approach for monitoring information published on social networks about a specific event. In the era of Big Data, when an emergency occurs information posted on social networks becomes more and more helpful for emergency operators. As direct witnesses of the situation, people share photos, videos or text messages about events that call their attention. In the emergency operation center, these data can be collected and integrated within the management process to improve the overall understanding of the situation and in particular of the citizen reactions...
2016: SpringerPlus
https://www.readbyqxmd.com/read/27771346/commonality-of-neural-representations-of-sentences-across-languages-predicting-brain-activation-during-portuguese-sentence-comprehension-using-an-english-based-model-of-brain-function
#13
Ying Yang, Jing Wang, Cyntia Bailer, Vladimir Cherkassky, Marcel Adam Just
The aim of the study was to test the cross-language generative capability of a model that predicts neural activation patterns evoked by sentence reading, based on a semantic characterization of the sentence. In a previous study on English monolingual speakers (Wang et al., submitted), a computational model performed a mapping from a set of 42 concept-level semantic features (Neurally Plausible Semantic Features, NPSFs) as well as 6 thematic role markers to neural activation patterns (assessed with fMRI), to predict activation levels in a network of brain locations...
October 19, 2016: NeuroImage
https://www.readbyqxmd.com/read/27766937/leveraging-graph-topology-and-semantic-context-for-pharmacovigilance-through-twitter-streams
#14
Ryan Eshleman, Rahul Singh
BACKGROUND: Adverse drug events (ADEs) constitute one of the leading causes of post-therapeutic death and their identification constitutes an important challenge of modern precision medicine. Unfortunately, the onset and effects of ADEs are often underreported complicating timely intervention. At over 500 million posts per day, Twitter is a commonly used social media platform. The ubiquity of day-to-day personal information exchange on Twitter makes it a promising target for data mining for ADE identification and intervention...
October 6, 2016: BMC Bioinformatics
https://www.readbyqxmd.com/read/27754282/hw-04-3-global-network-for-her-based-big-data-analysis
#15
Peter Rijnbeek
Massive numbers of electronic health records are currently being collected globally, including structured data in the form of diagnoses, medications, laboratory test results, and unstructured data contained in clinical narratives. This opens unprecedented possibilities for research and ultimately patient care. However, actual use of these databases in a multi-center study is severely hampered by a variety of challenges, e.g., each database has a different database structure and uses different terminology systems...
September 2016: Journal of Hypertension
https://www.readbyqxmd.com/read/27746251/brain-map-of-word-meaning-a-cortical-net-of-semantic-information
#16
Reid Hoshide, Rahul Jandial
No abstract text is available yet for this article.
October 13, 2016: World Neurosurgery
https://www.readbyqxmd.com/read/27732869/neurophysiological-evidence-for-the-interplay-of-speech-segmentation-and-word-referent-mapping-during-novel-word-learning
#17
Clément François, Toni Cunillera, Enara Garcia, Matti Laine, Antoni Rodriguez-Fornells
Learning a new language requires the identification of word units from continuous speech (the speech segmentation problem) and mapping them onto conceptual representation (the word to world mapping problem). Recent behavioral studies have revealed that the statistical properties found within and across modalities can serve as cues for both processes. However, segmentation and mapping have been largely studied separately, and thus it remains unclear whether both processes can be accomplished at the same time and if they share common neurophysiological features...
October 9, 2016: Neuropsychologia
https://www.readbyqxmd.com/read/27721102/exploring-orthographic-neighborhood-size-effects-in-a-computational-model-of-chinese-character-naming
#18
Ya-Ning Chang, Stephen Welbourne, Chia-Ying Lee
Orthographic neighborhood (N) size effects have been extensively studied in English consistently producing a facilitatory effect in word naming tasks. In contrast, several recent studies on Chinese character naming have demonstrated an inhibitory effect of neighborhood size. Response latencies tend to be inhibited by inconsistent characters with large neighborhoods relative to small neighborhoods. These differences in neighborhood effects between languages may depend on the characteristics (depth) of the mapping between orthography and phonology...
October 6, 2016: Cognitive Psychology
https://www.readbyqxmd.com/read/27717575/modeling-and-evaluation-of-the-oil-spill-emergency-response-capability-based-on-linguistic-variables
#19
Jian Kang, Jixin Zhang, Yongqian Bai
An evaluation of the oil-spill emergency response capability (OS-ERC) currently in place in modern marine management is required to prevent pollution and loss accidents. The objective of this paper is to develop a novel OS-ERC evaluation model, the importance of which stems from the current lack of integrated approaches for interpreting, ranking and assessing OS-ERC performance factors. In the first part of this paper, the factors influencing OS-ERC are analyzed and classified to generate a global evaluation index system...
October 4, 2016: Marine Pollution Bulletin
https://www.readbyqxmd.com/read/27708592/fuzzy-nonnative-phonolexical-representations-lead-to-fuzzy-form-to-meaning-mappings
#20
Svetlana V Cook, Nick B Pandža, Alia K Lancaster, Kira Gor
The present paper explores nonnative (L2) phonological encoding of lexical entries and dissociates the difficulties associated with L2 phonological and phonolexical encoding by focusing on similarly sounding L2 words that are not differentiated by difficult phonological contrasts. We test two main claims of the fuzzy lexicon hypothesis: (1) L2 fuzzy phonolexical representations are not fully specified and lack details at both phonological and phonolexical levels of representation (Experiment 1); and (2) fuzzy phonolexical representations can lead to establishing incorrect form-to-meaning mappings (Experiment 2)...
2016: Frontiers in Psychology
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