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https://www.readbyqxmd.com/read/28231286/lexicon-enhanced-sentiment-analysis-framework-using-rule-based-classification-scheme
#1
Muhammad Zubair Asghar, Aurangzeb Khan, Shakeel Ahmad, Maria Qasim, Imran Ali Khan
With the rapid increase in social networks and blogs, the social media services are increasingly being used by online communities to share their views and experiences about a particular product, policy and event. Due to economic importance of these reviews, there is growing trend of writing user reviews to promote a product. Nowadays, users prefer online blogs and review sites to purchase products. Therefore, user reviews are considered as an important source of information in Sentiment Analysis (SA) applications for decision making...
2017: PloS One
https://www.readbyqxmd.com/read/28230725/towards-a-semantic-web-of-things-a-hybrid-semantic-annotation-extraction-and-reasoning-framework-for-cyber-physical-system
#2
Zhenyu Wu, Yuan Xu, Yunong Yang, Chunhong Zhang, Xinning Zhu, Yang Ji
Web of Things (WoT) facilitates the discovery and interoperability of Internet of Things (IoT) devices in a cyber-physical system (CPS). Moreover, a uniform knowledge representation of physical resources is quite necessary for further composition, collaboration, and decision-making process in CPS. Though several efforts have integrated semantics with WoT, such as knowledge engineering methods based on semantic sensor networks (SSN), it still could not represent the complex relationships between devices when dynamic composition and collaboration occur, and it totally depends on manual construction of a knowledge base with low scalability...
February 20, 2017: Sensors
https://www.readbyqxmd.com/read/28230419/the-association-between-physical-performance-and-executive-function-in-a-sample-of-rural-older-adults-from-south-carolina-usa
#3
Ryan S Falck, Sara Wilcox, John R Best, Jessica L Chandler, Teresa Liu-Ambrose
BACKGROUND: Mobility and executive functions (EFs) decline with age, although associations between mobility and EFs are less clear. This study examined relationships between different mobility measures and EFs among rural older adults. METHODS: This cross-sectional study recruited 56 older adults (60+ years) in rural South Carolina. Mobility was assessed via gait speed, timed up-and-go, chair stand, and as a composite physical performance score (PPS). EFs was assessed via Trail Making Test, semantic fluency, and phonemic fluency...
March 2017: Experimental Aging Research
https://www.readbyqxmd.com/read/28230394/the-onset-and-time-course-of-semantic-priming-during-rapid-recognition-of-visual-words
#4
Renske S Hoedemaker, Peter C Gordon
In 2 experiments, we assessed the effects of response latency and task-induced goals on the onset and time course of semantic priming during rapid processing of visual words as revealed by ocular response tasks. In Experiment 1 (ocular lexical decision task), participants performed a lexical decision task using eye movement responses on a sequence of 4 words. In Experiment 2, the same words were encoded for an episodic recognition memory task that did not require a metalinguistic judgment. For both tasks, survival analyses showed that the earliest observable effect (divergence point [DP]) of semantic priming on target-word reading times occurred at approximately 260 ms, and ex-Gaussian distribution fits revealed that the magnitude of the priming effect increased as a function of response time...
February 23, 2017: Journal of Experimental Psychology. Human Perception and Performance
https://www.readbyqxmd.com/read/28229515/treatment-integrity-of-elaborated-semantic-feature-analysis-aphasia-therapy-delivered-in-individual-and-group-settings
#5
Vasiliki Kladouchou, Ilias Papathanasiou, Eva A Efstratiadou, Vasiliki Christaki, Katerina Hilari
BACKGROUND & AIMS: This study ran within the framework of the Thales Aphasia Project that investigated the efficacy of elaborated semantic feature analysis (ESFA). We evaluated the treatment integrity (TI) of ESFA, i.e., the degree to which therapists implemented treatment as intended by the treatment protocol, in two different formats: individual and group therapy. METHODS & PROCEDURES: Based on the ESFA manual, observation of therapy videos and TI literature, we developed two ESFA integrity checklists, for individual and group therapy, and used them to rate 15 videos of therapy sessions, delivered by three speech-language therapists (SLTs)...
February 23, 2017: International Journal of Language & Communication Disorders
https://www.readbyqxmd.com/read/28229468/time-will-tell-a-longitudinal-investigation-of-brain-behavior-relationships-during-reading-development
#6
Mallory C Stites, Sarah Laszlo
ERPs are a powerful tool for the study of reading, as they are both temporally precise and functionally specific. These are essential characteristics for studying a process that unfolds rapidly and consists of multiple, interactive subprocesses. In work with adults, clear, specific models exist linking components of the ERP with individual subprocesses of reading including orthographic decoding, phonological processing, and semantic access (e.g., Grainger & Holcomb, 2009). The relationships between ERP components and reading subprocesses are less clear in development; here, we address two questions regarding these relationships...
February 23, 2017: Psychophysiology
https://www.readbyqxmd.com/read/28229040/predicting-primary-progressive-aphasias-with-support-vector-machine-approaches-in-structural-mri-data
#7
Sandrine Bisenius, Karsten Mueller, Janine Diehl-Schmid, Klaus Fassbender, Timo Grimmer, Frank Jessen, Jan Kassubek, Johannes Kornhuber, Bernhard Landwehrmeyer, Albert Ludolph, Anja Schneider, Sarah Anderl-Straub, Katharina Stuke, Adrian Danek, Markus Otto, Matthias L Schroeter
Primary progressive aphasia (PPA) encompasses the three subtypes nonfluent/agrammatic variant PPA, semantic variant PPA, and the logopenic variant PPA, which are characterized by distinct patterns of language difficulties and regional brain atrophy. To validate the potential of structural magnetic resonance imaging data for early individual diagnosis, we used support vector machine classification on grey matter density maps obtained by voxel-based morphometry analysis to discriminate PPA subtypes (44 patients: 16 nonfluent/agrammatic variant PPA, 17 semantic variant PPA, 11 logopenic variant PPA) from 20 healthy controls (matched for sample size, age, and gender) in the cohort of the multi-center study of the German consortium for frontotemporal lobar degeneration...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28227726/mobile-teleradiology-system-suitable-for-m-health-services-supporting-content-and-semantic-based-image-retrieval-on-a-grid-infrastructure
#8
Alexandra La Cruz, Ruben Medina, Francisco Vega, Wilson Perez, Blanca Ochoa, Victor Saquicela, Mauricio Espinoza, Lizandro Solano-Quinde, Maria-Esther Vidal, Alexandra La Cruz, Ruben Medina, Francisco Vega, Wilson Perez, Blanca Ochoa, Victor Saquicela, Mauricio Espinoza, Lizandro Solano-Quinde, Maria-Esther Vidal, Victor Saquicela, Francisco Vega, Mauricio Espinoza, Lizandro Solano-Quinde, Blanca Ochoa, Maria-Esther Vidal, Alexandra La Cruz, Ruben Medina, Wilson Perez
Teleradiology systems tackle the problem of transferring radiological images between medical image workstations for facilitating different medical activities, e.g., diagnosis, treatment and follow up a patient, medical training, or consulting second opinion. Nowadays, m-Health (aka mobile health) is becoming popular because of high quality of mobile displays, although remains a work in progress. In this paper a mobile teleradiology system is reported, which main contribution is the development of a platform: (1) supported by a Grid infrastructure, (2) using biomedical ontologies for adding semantic annotations on medical images, and (3) supporting semantic and content-based image retrieval...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227493/recommendations-for-antiarrhythmic-drugs-based-on-latent-semantic-analysis-with-fc-means-clustering
#9
Juyoung Park, Mingon Kang, Junbeom Hur, Kyungtae Kang, Juyoung Park, Mingon Kang, Junbeom Hur, Kyungtae Kang, Mingon Kang, Junbeom Hur, Juyoung Park, Kyungtae Kang
In this paper, we propose a novel model for the appropriate recommendation of antiarrhythmic drugs by introducing a fusion of a latent semantic analysis and k-means clustering. Our model not only captures the latent factors between the types of arrhythmia and patients but also has the ability to search a group of patients with similar arrhythmias. The performance studies conducted against the MIT-BIH arrhythmia database show that clinicians accepted 66.67% of the drugs recommended from our model with a balanced f-score of 38...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227228/multi-view-non-negative-tensor-factorization-as-relation-learning-in-healthcare-data
#10
Hang Wu, May D Wang, Hang Wu, May D Wang, May D Wang, Hang Wu
Discovering patterns in co-occurrences data between objects and groups of concepts is a useful task in many domains, such as healthcare data analysis, information retrieval, and recommender systems. These relational representations come from objects' behaviors in different views, posing a challenging task of integrating information from these views to uncover the shared latent structures. The problem is further complicated by the high dimension of data and the large ratio of missing data. We propose a new paradigm of learning semantic relations using tensor factorization, by jointly factorizing multi-view tensors and searching for a consistent underlying semantic space across each views...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226799/an-audiovisual-bci-system-for-assisting-clinical-communication-assessment-in-patients-with-disorders-of-consciousness-a-case-study
#11
Fei Wang, Yanbin He, Jun Qu, Qiuyou Xie, Qing Lin, Xiaoxiao Ni, Yan Chen, Ronghao Yu, Chin-Teng Lin, Yuanqing Li, Fei Wang, Yanbin He, Jun Qu, Qiuyou Xie, Qing Lin, Xiaoxiao Ni, Yan Chen, Ronghao Yu, Chin-Teng Lin, Yuanqing Li, Chin-Teng Lin, Fei Wang, Ronghao Yu, Jun Qu, Yan Chen, Yanbin He, Qiuyou Xie, Yuanqing Li, Xiaoxiao Ni, Qing Lin
The JFK Coma Recovery Scale-Revised (JFK CRS-R), a behavioral scale, is often used for clinical assessments of patients with disorders of consciousness (DOC), such as patients in a vegetative state. However, there has been a high rate of clinical misdiagnosis with the JFK CRS-R because patients with severe brain injures cannot provide sufficient behavioral responses. It is particularly difficult to evaluate the communication function in DOC patients using the JFK CRS-R because a higher level of behavioral responses is needed for communication assessments than for many other assessments, such as an auditory startle assessment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226041/evaluation-of-the-hospital-accreditation-program-face-and-content-validation
#12
Graziela Caldana, Carmen Silvia Gabriel
Objective: to describe the results of face and content validation of the questionnaire entitled Quality Improvement Implementation Survey, and of two complementary scales as part of the adaptation process to the Brazilian language and culture. Method: included the following stages: (1) translation and synthesis of translations; (2) consideration by the expert committee; (3) back translation; (4) evaluation of verbal understanding by the target population. Results: the questionnaire was translated into Portuguese and its final version included 90 items...
January 2017: Revista Brasileira de Enfermagem
https://www.readbyqxmd.com/read/28224687/children-remember-words-from-ignorant-speakers-but-do-not-attach-meaning-evidence-from-event-related-potentials
#13
Haykaz Mangardich, Mark A Sabbagh
Although we know much about the conditions under which children demonstrate selective social learning, we have a limited understanding of the cognitive mechanisms by which children's selectivity manifests. Here, we report findings from a brain electrophysiological (ERP) study designed to determine the extent to which words presented by ignorant speakers were later both familiar to children and associated with semantic meaning. Forty-eight children (mean age = 6.5 years) first experienced novel word training from either a knowledgeable or an ignorant speaker...
February 21, 2017: Developmental Science
https://www.readbyqxmd.com/read/28224314/creating-semantics-in-tool-use
#14
Arnaud Badets, Thomas Michelet, Aymar de Rugy, François Osiurak
This article presents the first evidence for a functional link between tool use and the processing of abstract symbols like Arabic numbers. Participants were required to perform a tool-use task after the processing of an Arabic number. These numbers represented either a small (2 or 3) or a large magnitude (8 or 9). The tool-use task consisted in using inverse pliers for gripping either a small or a large object. The inverse pliers enable to dissociate the hand action from the tool action in relation to the object (i...
February 21, 2017: Cognitive Processing
https://www.readbyqxmd.com/read/28224131/tashkeela-novel-corpus-of-arabic-vocalized-texts-data-for-auto-diacritization-systems
#15
Taha Zerrouki, Amar Balla
Arabic diacritics are often missed in Arabic scripts. This feature is a handicap for new learner to read َArabic, text to speech conversion systems, reading and semantic analysis of Arabic texts. The automatic diacritization systems are the best solution to handle this issue. But such automation needs resources as diactritized texts to train and evaluate such systems. In this paper, we describe our corpus of Arabic diacritized texts. This corpus is called Tashkeela. It can be used as a linguistic resource tool for natural language processing such as automatic diacritics systems, dis-ambiguity mechanism, features and data extraction...
April 2017: Data in Brief
https://www.readbyqxmd.com/read/28224116/persistence-of-functional-protein-domains-in-mycoplasma-species-and-their-role-in-host-specificity-and-synthetic-minimal-life
#16
Tjerko Kamminga, Jasper J Koehorst, Paul Vermeij, Simen-Jan Slagman, Vitor A P Martins Dos Santos, Jetta J E Bijlsma, Peter J Schaap
Mycoplasmas are the smallest self-replicating organisms and obligate parasites of a specific vertebrate host. An in-depth analysis of the functional capabilities of mycoplasma species is fundamental to understand how some of simplest forms of life on Earth succeeded in subverting complex hosts with highly sophisticated immune systems. In this study we present a genome-scale comparison, focused on identification of functional protein domains, of 80 publically available mycoplasma genomes which were consistently re-annotated using a standardized annotation pipeline embedded in a semantic framework to keep track of the data provenance...
2017: Frontiers in Cellular and Infection Microbiology
https://www.readbyqxmd.com/read/28223954/a-principle-of-intentionality
#17
Charles K Turner
The mainstream theories and models of the physical sciences, including neuroscience, are all consistent with the principle of causality. Wholly causal explanations make sense of how things go, but are inherently value-neutral, providing no objective basis for true beliefs being better than false beliefs, nor for it being better to intend wisely than foolishly. Dennett (1987) makes a related point in calling the brain a syntactic (procedure-based) engine. He says that you cannot get to a semantic (meaning-based) engine from there...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28221996/hierarchical-latent-concept-discovery-for-video-event-detection
#18
Chao Li, Zi Huang, Yang Yang, Jiewei Cao, Xiaoshui Sun, Heng Tao Shen
Semantic information is important for video event detection. How to automatically discover, model and utilize semantic information to facilitate video event detection has been a challenging problem. In this paper, we propose a novel hierarchical video event detection model, which deliberately unifies the processes of underlying semantics discovery and event modelling from video data. Specially, different from most approaches based on manually pre-defined concepts, we devise an effective model to automatically uncover video semantics by hierarchically capturing latent static-visual concepts in frame-level and latent activity concepts (i...
February 17, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28221992/exploiting-feature-and-class-relationships-in-video-categorization-with-regularized-deep-neural-networks
#19
Yu-Gang Jiang, Zuxuan Wu, Jun Wang, Xiangyang Xue, Shih-Fu Chang
In this paper, we study the challenging problem of categorizing videos according to high-level semantics such as the existence of a particular human action or a complex event. Although extensive efforts have been devoted in recent years, most existing works combined multiple video features using simple fusion strategies and neglected the utilization of inter-class semantic relationships. This paper proposes a novel unified framework that jointly exploits the feature relationships and the class relationships for improved categorization performance...
February 16, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28220826/different-brain-structures-associated-with-artistic-and-scientific-creativity-a-voxel-based-morphometry-study
#20
Baoguo Shi, Xiaoqing Cao, Qunlin Chen, Kaixiang Zhuang, Jiang Qiu
Creativity is the ability to produce original and valuable ideas or behaviors. In real life, artistic and scientific creativity promoted the development of human civilization; however, to date, no studies have systematically investigated differences in the brain structures responsible for artistic and scientific creativity in a large sample. Using voxel-based morphometry (VBM), this study identified differences in regional gray matter volume (GMV) across the brain between artistic and scientific creativity (assessed by the Creative Achievement Questionnaire) in 356 young, healthy subjects...
February 21, 2017: Scientific Reports
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