keyword
MENU ▼
Read by QxMD icon Read
search

Knowledge representation

keyword
https://www.readbyqxmd.com/read/28527374/talking-about-sunbed-tanning-social-representations-and-identity-work
#1
Jennifer Taylor, Michael Murray, Alexandra Lamont
RATIONALE: Despite the publicised health risks associated with its usage, sunbed tanning remains popular in many Western countries. Previous research indicates that knowledge of the harmful effects does not necessarily lead to a reduction in sunbed use. OBJECTIVE: The aim of this study was to develop a more extensive social psychological understanding of sunbed use, in the United Kingdom, by exploring the social representations of sunbed tanning held by both those who use and who have never used sunbeds...
May 9, 2017: Social Science & Medicine
https://www.readbyqxmd.com/read/28516959/adaptive-psychological-structure-in-childhood-hearing-impairment-audiological-correlations
#2
A Serra, G Spinato, S Cocuzza, L Licciardello, P Pavone, L Maiolino
The present research deals with the clinical and social problems present during linguistic and cognitive development of deaf children. Currently, the development of Theory of Mind represents an important research field in deafness studies. These international studies highlighted a significant alteration in the development of Theory of Mind in deaf children compared to normal hearing children, especially in cases of congenital or preverbal hearing loss. In particular, the research focuses on the skills of deaf children in recognising emotions and desires, through both perceptive and cognitive methods, by evaluation of psycho-cognitive skills of children with severe hearing loss using a set of questions to be administered to hearing loss patients...
June 2017: Acta Otorhinolaryngologica Italica
https://www.readbyqxmd.com/read/28516347/uniting-the-pre-health-humanities-with-the-introductory-composition-course
#3
Amy Rubens
Drawing on my experiences at a teaching-focused university, I show how locating the health humanities in first-year or introductory composition courses improves learning and offers an economical, flexible, and far-reaching approach to bringing a health humanities education to all baccalaureate-level learners, regardless of whether they aspire to careers in the health professions. In terms of improving learning, health humanities composition courses support the disciplinary aims of both fields. Accessible, relevant issues in the health humanities, such as interventions in health debates or representations of illness and healthcare settings, nourish the cognitive and social conditions needed to develop college-level writing skills...
May 17, 2017: Journal of Medical Humanities
https://www.readbyqxmd.com/read/28514982/evaluation-criteria-of-patient-and-public-involvement-in-resource-allocation-decisions-a-literature-review-and-qualitative-study
#4
Zahava R S Rosenberg-Yunger, Ahmed M Bayoumi
OBJECTIVES: We developed specific evaluation criteria to assess patient and public involvement in resource allocation decisions in health care. METHODS: We reviewed the literature from health and other sectors relevant to stakeholder involvement and conducted twenty-seven key informant interviews with stakeholders knowledgeable about patient and public involvement in Canadian drug resource allocation decisions. We used an inductive qualitative thematic approach to analyze the interviews with codes and categories developed directly from individuals' interview transcripts...
May 18, 2017: International Journal of Technology Assessment in Health Care
https://www.readbyqxmd.com/read/28507524/changing-what-you-see-by-changing-what-you-know-the-role-of-attention
#5
Gary Lupyan
Attending is a cognitive process that incorporates a person's knowledge, goals, and expectations. What we perceive when we attend to one thing is different from what we perceive when we attend to something else. Yet, it is often argued that attentional effects do not count as evidence that perception is influenced by cognition. I investigate two arguments often given to justify excluding attention. The first is arguing that attention is a post-perceptual process reflecting selection between fully constructed perceptual representations...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28505166/brain-activation-of-semantic-category-based-grouping-in-multiple-identity-tracking-task
#6
Liuqing Wei, Xuemin Zhang, Chuang Lyu, Siyuan Hu, Zhen Li
Using Multiple Identity Tracking task and the functional magnetic resonance imaging (fMRI) technology, the present study aimed to isolate and visualize the functional anatomy of neural systems involved in the semantic category-based grouping process. Three experiment conditions were selected and compared: the category-based targets grouping (TG) condition, the targets-distractors grouping (TDG) condition and the homogenous condition. In the TG condition, observers could utilize the categorical distinction between targets and distractors, to construct a uniform presentation of targets, that is, to form a group of the targets to facilitate tracking...
2017: PloS One
https://www.readbyqxmd.com/read/28504949/cascaded-subpatch-networks-for-effective-cnns
#7
Xiaoheng Jiang, Yanwei Pang, Manli Sun, Xuelong Li
Conventional convolutional neural networks use either a linear or a nonlinear filter to extract features from an image patch (region) of spatial size Hx W (typically, H is small and is equal to W, e.g., H is 5 or 7 ). Generally, the size of the filter is equal to the size Hx W of the input patch. We argue that the representational ability of equal-size strategy is not strong enough. To overcome the drawback, we propose to use subpatch filter whose spatial size hx w is smaller than Hx W . The proposed subpatch filter consists of two subsequent filters...
May 12, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28504933/a-novel-linelet-based-representation-for-line-segment-detection
#8
Nam-Gyu Cho, Alan Yuille, Seong-Whan Lee
This paper proposes a method for line segment detection in digital images.We propose a novel linelet-based representation to model intrinsic properties of line segments in rasterized image space. Based on this, line segment detection, validation, and aggregation frameworks are constructed. For a numerical evaluation on real images, we propose a new benchmark dataset of real images with annotated lines called YorkUrban-LineSegment. The results show that the proposed method outperforms state-of-the-art methods numerically and visually...
May 11, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28504619/standard-area-diagrams-for-aiding-severity-estimation-scientometrics-pathosystems-and-methodological-trends-in-the-last-25-years
#9
Emerson Del Ponte, Sarah Jane Pethybridge, Clive Bock, Sami Jorge Michereff, Franklin Jackson Machado, Pierri Spolti
Standard area diagrams (SADs) have long been used as a tool to aid the estimation of plant disease severity, an essential variable in phytopathometry. Formal validation of SADs was not considered prior to the early 1990s, when considerable effort began to be invested developing SADs and assessing their value for improving accuracy of estimates of disease severity in many pathosystems. Peer-reviewed literature post-1990 was identified, selected and cataloged in bibliographic software for further scrutiny and extraction of scientometric, pathosystem- and methodological-related data...
May 15, 2017: Phytopathology
https://www.readbyqxmd.com/read/28503356/towards-an-obesity-cancer-knowledge-base-biomedical-entity-identification-and-relation-detection
#10
Juan Antonio Lossio-Ventura, William Hogan, François Modave, Amanda Hicks, Josh Hanna, Yi Guo, Zhe He, Jiang Bian
Obesity is associated with increased risks of various types of cancer, as well as a wide range of other chronic diseases. On the other hand, access to health information activates patient participation, and improve their health outcomes. However, existing online information on obesity and its relationship to cancer is heterogeneous ranging from pre-clinical models and case studies to mere hypothesis-based scientific arguments. A formal knowledge representation (i.e., a semantic knowledge base) would help better organizing and delivering quality health information related to obesity and cancer that consumers need...
December 2016: Proceedings
https://www.readbyqxmd.com/read/28502909/character-level-neural-network-for-biomedical-named-entity-recognition
#11
Mourad Gridach
Biomedical named entity recognition (BNER), which extracts important named entities such as genes and proteins, is a challenging task in automated systems that mine knowledge in biomedical texts. The previous state-of-the-art systems required large amounts of task-specific knowledge in the form of feature engineering, lexicons and data pre-processing to achieve high performance. In this paper, we introduce a novel neural network architecture that benefits from both word- and character-level representations automatically, by using a combination of bidirectional long short-term memory (LSTM) and conditional random field (CRF) eliminating the need for most feature engineering tasks...
May 11, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28502772/representations-of-novelty-and-familiarity-in-a-mushroom-body-compartment
#12
Daisuke Hattori, Yoshinori Aso, Kurtis J Swartz, Gerald M Rubin, L F Abbott, Richard Axel
Animals exhibit a behavioral response to novel sensory stimuli about which they have no prior knowledge. We have examined the neural and behavioral correlates of novelty and familiarity in the olfactory system of Drosophila. Novel odors elicit strong activity in output neurons (MBONs) of the α'3 compartment of the mushroom body that is rapidly suppressed upon repeated exposure to the same odor. This transition in neural activity upon familiarization requires odor-evoked activity in the dopaminergic neuron innervating this compartment...
May 18, 2017: Cell
https://www.readbyqxmd.com/read/28500765/developing-bayesian-networks-from-a-dependency-layered-ontology-a-proof-of-concept-in-radiation-oncology
#13
Alan M Kalet, Jason N Doctor, John H Gennari, Mark H Phillips
PURPOSE: Bayesian networks (BNs) are graphical representations of probabilistic knowledge that offer normative reasoning under uncertainty and are well suited for use in medical domains. Traditional knowledge-based network development of BN topology requires that modeling experts establish relevant dependency links between domain concepts by searching and translating published literature, querying domain experts, or applying machine learning algorithms on data. For initial development these methods are time-intensive and this cost hinders the growth of BN applications in medical decision making...
May 13, 2017: Medical Physics
https://www.readbyqxmd.com/read/28496297/semicontour-a-semi-supervised-learning-approach-for-contour-detection
#14
Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang
Supervised contour detection methods usually require many labeled training images to obtain satisfactory performance. However, a large set of annotated data might be unavailable or extremely labor intensive. In this paper, we investigate the usage of semi-supervised learning (SSL) to obtain competitive detection accuracy with very limited training data (three labeled images). Specifically, we propose a semi-supervised structured ensemble learning approach for contour detection built on structured random forests (SRF)...
June 2016: Proceedings
https://www.readbyqxmd.com/read/28492473/acquisition-and-neural-network-prediction-of-3d-deformable-object-shape-using-a-kinect-and-a-force-torque-sensor
#15
Bilal Tawbe, Ana-Maria Cretu
The realistic representation of deformations is still an active area of research, especially for deformable objects whose behavior cannot be simply described in terms of elasticity parameters. This paper proposes a data-driven neural-network-based approach for capturing implicitly and predicting the deformations of an object subject to external forces. Visual data, in the form of 3D point clouds gathered by a Kinect sensor, is collected over an object while forces are exerted by means of the probing tip of a force-torque sensor...
May 11, 2017: Sensors
https://www.readbyqxmd.com/read/28487260/pinpointing-cryptic-borders-fine-scale-phylogeography-and-genetic-landscape-analysis-of-the-hormogaster-elisae-complex-oligochaeta-hormogastridae
#16
Daniel F Marchán, Rosa Fernández, Irene de Sosa, Darío J Díaz Cosín, Marta Novo
Spatial and temporal aspects of the evolution of cryptic species complexes have received less attention than species delimitation within them. The phylogeography of the cryptic complex Hormogaster elisae (Oligochaeta, Hormogastridae) lacks knowledge on several aspects, including the small-scale distribution of its lineages or the palaeogeographic context of their diversification. To shed light on these topics, a dense specimen collection was performed in the center of the Iberian Peninsula - resulting in 28 new H...
May 6, 2017: Molecular Phylogenetics and Evolution
https://www.readbyqxmd.com/read/28485702/solitary-discourse-is-a-productive-activity
#17
Julia Zavala, Deanna Kuhn
Young adults received information regarding the platforms of two candidates for mayor of a troubled city. Half constructed a dialogue between advocates of the candidates, and the other half wrote an essay evaluating the candidates' merits. Both groups then wrote a script for a TV spot favoring their preferred candidate. Results supported our hypothesis that the dialogic task would lead to deeper, more comprehensive processing of the two positions, and hence a richer representation of them. The TV scripts of the dialogue group included more references to city problems, candidates' proposed actions, and links between them, as well as more criticisms of proposed actions and integrative judgments extending across multiple problems or proposed actions...
May 2017: Psychological Science
https://www.readbyqxmd.com/read/28484899/functional-connectivity-models-for-decoding-of-spatial-representations-from-hippocampal-ca1-recordings
#18
Lorenzo Posani, Simona Cocco, Karel Ježek, Rémi Monasson
Hippocampus stores spatial representations, or maps, which are recalled each time a subject is placed in the corresponding environment. Across different environments of similar geometry, these representations show strong orthogonality in CA3 of hippocampus, whereas in the CA1 subfield a considerable overlap between the maps can be seen. The lower orthogonality decreases reliability of various decoders developed in an attempt to identify which of the stored maps is active at the moment. Especially, the problem with decoding emerges with a need to analyze data at high temporal resolution...
May 8, 2017: Journal of Computational Neuroscience
https://www.readbyqxmd.com/read/28480333/a-unified-model-of-human-semantic-knowledge-and-its-disorders
#19
Lang Chen, Matthew A Lambon Ralph, Timothy T Rogers
How is knowledge about the meanings of words and objects represented in the human brain? Current theories embrace two radically different proposals: either distinct cortical systems have evolved to represent different kinds of things, or knowledge for all kinds is encoded within a single domain-general network. Neither view explains the full scope of relevant evidence from neuroimaging and neuropsychology. Here we propose that graded category-specificity emerges in some components of the semantic network through joint effects of learning and network connectivity...
March 2017: Nature Human Behaviour
https://www.readbyqxmd.com/read/28479747/elucidation-of-the-sequential-transcriptional-activity-in-escherichia-coli-using-time-series-rna-seq-data
#20
Pui Shan Wong, Kosuke Tashiro, Satoru Kuhara, Sachiyo Aburatani
Functional genomics and gene regulation inference has readily expanded our knowledge and understanding of gene interactions with regards to expression regulation. With the advancement of transcriptome sequencing in time-series comes the ability to study the sequential changes of the transcriptome. Here, we present a new method to augment regulation networks accumulated in literature with transcriptome data gathered from time-series experiments to construct a sequential representation of transcription factor activity...
2017: Bioinformation
keyword
keyword
52581
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"