keyword
MENU ▼
Read by QxMD icon Read
search

Kind representations

keyword
https://www.readbyqxmd.com/read/28212526/can-you-feel-the-body-that-you-see-on-the-relationship-between-interoceptive-accuracy-and-body-image
#1
Giorgia Zamariola, Flavia Cardini, Emanuel Mian, Andrea Serino, Manos Tsakiris
Interoception and exteroception for body signals are two different ways of perceiving the self: the first from within, the second from outside. We investigated the relationship between Interoceptive Accuracy (IAcc) and external perception of the body and we tested if seeing the body from an external perspective can affect IAcc. Fifty-two healthy female subjects performed a standard heartbeat perception task to assess the IAcc, before and after the Body Image Revealer (BIR), which is a body perception task designed to assess the different aspects of body-image...
February 14, 2017: Body Image
https://www.readbyqxmd.com/read/28207873/classification-of-brain-disease-in-magnetic-resonance-images-using-two-stage-local-feature-fusion
#2
Tao Li, Wu Li, Yehui Yang, Wensheng Zhang
BACKGROUND: Many classification methods have been proposed based on magnetic resonance images. Most methods rely on measures such as volume, the cerebral cortical thickness and grey matter density. These measures are susceptible to the performance of registration and limited in representation of anatomical structure. This paper proposes a two-stage local feature fusion method, in which deformable registration is not desired and anatomical information is represented from moderate scale...
2017: PloS One
https://www.readbyqxmd.com/read/28202102/how-lives-became-lists-and-scientific-papers-became-data-cataloguing-authorship-during-the-nineteenth-century
#3
Alex Csiszar
The Catalogue of Scientific Papers, published by the Royal Society of London beginning in 1867, projected back to the beginning of the nineteenth century a novel vision of the history of science in which knowledge was built up out of discrete papers each connected to an author. Its construction was an act of canon formation that helped naturalize the idea that scientific publishing consisted of special kinds of texts and authors that were set apart from the wider landscape of publishing. By recovering the decisions and struggles through which the Catalogue was assembled, this essay aims to contribute to current efforts to denaturalize the scientific paper as the dominant genre of scientific life...
February 16, 2017: British Journal for the History of Science
https://www.readbyqxmd.com/read/28199341/methods-for-calculating-protection-equality-for-conservation-planning
#4
Alienor L M Chauvenet, Caitlin D Kuempel, Jennifer McGowan, Maria Beger, Hugh P Possingham
Protected Areas (PAs) are a central part of biodiversity conservation strategies around the world. Today, PAs cover c15% of the Earth's land mass and c3% of the global oceans. These numbers are expected to grow rapidly to meet the Convention on Biological Diversity's Aichi Biodiversity target 11, which aims to see 17% and 10% of terrestrial and marine biomes protected, respectively, by 2020. This target also requires countries to ensure that PAs protect an "ecologically representative" sample of their biodiversity...
2017: PloS One
https://www.readbyqxmd.com/read/28161595/religious-beliefs-are-factual-beliefs-content-does-not-correlate-with-context-sensitivity
#5
Neil Levy
Neil Van Leeuwen argues that religious beliefs are not factual beliefs: typically, at least, they are attitudes of a different type. He argues that they exhibit much more sensitivity to context than factual beliefs: outside of contexts in which they are salient, they do not govern behaviour or inference, or provide background assumptions for cognition. This article surveys a large range of data to show that the kind of context sensitivity that Van Leeuwen thinks is the province of religious beliefs does not correlate with belief content...
February 2, 2017: Cognition
https://www.readbyqxmd.com/read/28160453/word-learning-mechanisms
#6
REVIEW
Angela Xiaoxue He, Sudha Arunachalam
How do children acquire the meanings of words? Many word learning mechanisms have been proposed to guide learners through this challenging task. Despite the availability of rich information in the learner's linguistic and extralinguistic input, the word-learning task is insurmountable without such mechanisms for filtering through and utilizing that information. Different kinds of words, such as nouns denoting object concepts and verbs denoting event concepts, require to some extent different kinds of information and, therefore, access to different kinds of mechanisms...
February 3, 2017: Wiley Interdisciplinary Reviews. Cognitive Science
https://www.readbyqxmd.com/read/28155718/improved-protein-protein-interactions-prediction-via-weighted-sparse-representation-model-combining-continuous-wavelet-descriptor-and-pseaa-composition
#7
Yu-An Huang, Zhu-Hong You, Xing Chen, Gui-Ying Yan
BACKGROUND: Protein-protein interactions (PPIs) are essential to most biological processes. Since bioscience has entered into the era of genome and proteome, there is a growing demand for the knowledge about PPI network. High-throughput biological technologies can be used to identify new PPIs, but they are expensive, time-consuming, and tedious. Therefore, computational methods for predicting PPIs have an important role. For the past years, an increasing number of computational methods such as protein structure-based approaches have been proposed for predicting PPIs...
December 23, 2016: BMC Systems Biology
https://www.readbyqxmd.com/read/28155697/drug-target-interaction-prediction-via-class-imbalance-aware-ensemble-learning
#8
Ali Ezzat, Min Wu, Xiao-Li Li, Chee-Keong Kwoh
BACKGROUND: Multiple computational methods for predicting drug-target interactions have been developed to facilitate the drug discovery process. These methods use available data on known drug-target interactions to train classifiers with the purpose of predicting new undiscovered interactions. However, a key challenge regarding this data that has not yet been addressed by these methods, namely class imbalance, is potentially degrading the prediction performance. Class imbalance can be divided into two sub-problems...
December 22, 2016: BMC Bioinformatics
https://www.readbyqxmd.com/read/28146106/learning-to-monitor-machine-health-with-convolutional-bi-directional-lstm-networks
#9
Rui Zhao, Ruqiang Yan, Jinjiang Wang, Kezhi Mao
In modern manufacturing systems and industries, more and more research efforts have been made in developing effective machine health monitoring systems. Among various machine health monitoring approaches, data-driven methods are gaining in popularity due to the development of advanced sensing and data analytic techniques. However, considering the noise, varying length and irregular sampling behind sensory data, this kind of sequential data cannot be fed into classification and regression models directly. Therefore, previous work focuses on feature extraction/fusion methods requiring expensive human labor and high quality expert knowledge...
January 30, 2017: Sensors
https://www.readbyqxmd.com/read/28134818/an-interactive-image-segmentation-method-in-hand-gesture-recognition
#10
Disi Chen, Gongfa Li, Ying Sun, Jianyi Kong, Guozhang Jiang, Heng Tang, Zhaojie Ju, Hui Yu, Honghai Liu
In order to improve the recognition rate of hand gestures a new interactive image segmentation method for hand gesture recognition is presented, and popular methods, e.g., Graph cut, Random walker, Interactive image segmentation using geodesic star convexity, are studied in this article. The Gaussian Mixture Model was employed for image modelling and the iteration of Expectation Maximum algorithm learns the parameters of Gaussian Mixture Model. We apply a Gibbs random field to the image segmentation and minimize the Gibbs Energy using Min-cut theorem to find the optimal segmentation...
January 27, 2017: Sensors
https://www.readbyqxmd.com/read/28123006/conjoint-representation-of-texture-ensemble-and-location-in-the-parahippocampal-place-area
#11
Jeongho Park, Soojin Park
Texture provides crucial information about the category or identity of a scene. Nonetheless, not much is known about how the texture information in a scene is represented in the brain. Previous studies have shown that the parahippocampal place area (PPA), a scene-selective part of visual cortex, responds to texture ensemble in simple patches. However, in natural scenes, textures exist in spatial context within a scene. Here, we tested two hypotheses that describe how textures within a scene context are represented in the PPA...
January 25, 2017: Journal of Neurophysiology
https://www.readbyqxmd.com/read/28116566/an-integrated-soft-computing-approach-to-hughes-syndrome-risk-assessment
#12
João Vilhena, M Rosário Martins, Henrique Vicente, José M Grañeda, Filomena Caldeira, Rodrigo Gusmão, João Neves, José Neves
The AntiPhospholipid Syndrome (APS) is an acquired autoimmune disorder induced by high levels of antiphospholipid antibodies that cause arterial and veins thrombosis, as well as pregnancy-related complications and morbidity, as clinical manifestations. This autoimmune hypercoagulable state, usually known as Hughes syndrome, has severe consequences for the patients, being one of the main causes of thrombotic disorders and death. Therefore, it is required to be preventive; being aware of how probable is to have that kind of syndrome...
March 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28113829/highly-efficient-framework-for-predicting-interactions-between-proteins
#13
Zhu-Hong You, MengChu Zhou, Xin Luo, Shuai Li
Protein-protein interactions (PPIs) play a central role in many biological processes. Although a large amount of human PPI data has been generated by high-throughput experimental techniques, they are very limited compared to the estimated 130,000 protein interactions in humans. Hence, automatic methods for human PPI-detection are highly desired. This work proposes a novel framework, i.e., Low-rank approximation-kernel Extreme Learning Machine (LELM), for detecting human PPI from a protein's primary sequences automatically...
March 30, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28113151/graph-based-design-languages-a-lingua-franca-for-product-design-including-abstract-geometry
#14
Jens Schmidt, Stephan Rudolph
Product engineering involves designing and dimensioning a product, including geometric modeling and scientific simulation and analysis to fulfill predetermined requirements. Therefore, the engineering design effort requires a multidisciplinary analysis that is based on a multitude of different models, each of which require a different kind of representation of the same product geometry. The proposed approach uses a design language and a design compiler to translate an abstract source geometry in an abstract representation scheme into an arbitrary target format...
September 2016: IEEE Computer Graphics and Applications
https://www.readbyqxmd.com/read/28103526/cognitive-representation-of-musical-fractals-processing-hierarchy-and-recursion-in-the-auditory-domain
#15
Mauricio Dias Martins, Bruno Gingras, Estela Puig-Waldmueller, W Tecumseh Fitch
The human ability to process hierarchical structures has been a longstanding research topic. However, the nature of the cognitive machinery underlying this faculty remains controversial. Recursion, the ability to embed structures within structures of the same kind, has been proposed as a key component of our ability to parse and generate complex hierarchies. Here, we investigated the cognitive representation of both recursive and iterative processes in the auditory domain. The experiment used a two-alternative forced-choice paradigm: participants were exposed to three-step processes in which pure-tone sequences were built either through recursive or iterative processes, and had to choose the correct completion...
January 16, 2017: Cognition
https://www.readbyqxmd.com/read/28100276/realising-stratified-psychiatry-using-multidimensional-signatures-and-trajectories
#16
Dan W Joyce, Angie A Kehagia, Derek K Tracy, Jessica Proctor, Sukhwinder S Shergill
BACKGROUND: Stratified or personalised medicine targets treatments for groups of individuals with a disorder based on individual heterogeneity and shared factors that influence the likelihood of response. Psychiatry has traditionally defined diagnoses by constellations of co-occurring signs and symptoms that are assigned a categorical label (e.g. schizophrenia). Trial methodology in psychiatry has evaluated interventions targeted at these categorical entities, with diagnoses being equated to disorders...
January 18, 2017: Journal of Translational Medicine
https://www.readbyqxmd.com/read/28078518/public-policy-performance-for-social-development-solar-energy-approach-to-assess-technological-outcome-in-mexico-city-metropolitan-area
#17
Angel Raúl Arenas-Aquino, Y Matsumoto-Kuwabara, M Kleiche-Dray
Mexico City Metropolitan Area (MCMA) is the most populated urban area in the country. In 2010, MCMA required 14.8% of total energy domestic demand, but greenhouse gas emissions accounted for 7.7% of domestic emissions. Mexico has massive renewable energy potential that could be harnessed through solar photovoltaic (PV) technology. The problem to explore is the relationship between local and federal public strategies in MCMA and their stance on energy transition concern, social empowerment, new technology appropriation, and the will to boost social development and urban sustainability...
January 11, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28068117/the-neural-representation-of-the-gender-of-faces-in-the-primate-visual-system-a-computer-modeling-study
#18
Thomas Minot, Hannah L Dury, Akihiro Eguchi, Glyn W Humphreys, Simon M Stringer
We use an established neural network model of the primate visual system to show how neurons might learn to encode the gender of faces. The model consists of a hierarchy of 4 competitive neuronal layers with associatively modifiable feedforward synaptic connections between successive layers. During training, the network was presented with many realistic images of male and female faces, during which the synaptic connections are modified using biologically plausible local associative learning rules. After training, we found that different subsets of output neurons have learned to respond exclusively to either male or female faces...
January 9, 2017: Psychological Review
https://www.readbyqxmd.com/read/28048357/su-f-r-05-multidimensional-imaging-radiomics-geodesics-a-novel-manifold-learning-based-automatic-feature-extraction-method-for-diagnostic-prediction-in-multiparametric-imaging
#19
V Parekh, M A Jacobs
PURPOSE: Multiparametric radiological imaging is used for diagnosis in patients. Potentially extracting useful features specific to a patient's pathology would be crucial step towards personalized medicine and assessing treatment options. In order to automatically extract features directly from multiparametric radiological imaging datasets, we developed an advanced unsupervised machine learning algorithm called the multidimensional imaging radiomics-geodesics(MIRaGe). METHODS: Seventy-six breast tumor patients underwent 3T MRI breast imaging were used for this study...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28032282/green-luminescent-cdte-quantum-dot-based-fluorescence-nano-sensor-for-sensitive-detection-of-arsenic-iii
#20
Sandeep K Vaishanav, Jyoti Korram, Priyanka Pradhan, Kumudini Chandraker, Rekha Nagwanshi, Kallol K Ghosh, Manmohan L Satnami
Arsenic (As(3+)) is a hazardous and ubiquitous element; hence the quantitative detection of arsenic in various kinds of environmental sample is an important issue. Herein, we reported L-cysteine capped CdTe Quantum dot based optical sensor for the fluorometric detection of arsenic (III) in real water sample. The method is based on the fluorescence quenching of QDs with the addition of arsenic solution that caused the reduction in fluorescence intensity due to strong interaction between As(3+) and L-cysteine to form As(Cys)3...
December 28, 2016: Journal of Fluorescence
keyword
keyword
84876
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"