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Knowledge representation

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https://www.readbyqxmd.com/read/28328582/design-and-production-of-an-articulating-needle-guide-for-ultrasound-guided-needle-block-manufactured-with-a-three-dimensional-printer-technical-communication
#1
Paul E Bigeleisen
Needle guides may allow the practitioner to align the needle with the probe when ultrasound-guided nerve block is performed. The author's goal was to design and fabricate an inexpensive ($1.90), disposable, needle guide that could articulate over a range from 85 degrees to 0 degrees with a three-dimension printer. Three-dimensional representations of an L50, L25, and C 60 ultrasound probe (Sono Site, Bothell, WA) were created using a laser scanner. Computer-aided design software (Solid Works, Waltham, MA) was used to design a needle bracket and needle guide to attach to these probes...
March 17, 2017: A & A Case Reports
https://www.readbyqxmd.com/read/28328514/dynamic-uncertain-causality-graph-for-knowledge-representation-and-reasoning-utilization-of-statistical-data-and-domain-knowledge-in-complex-cases
#2
Qin Zhang, Quanying Yao
The dynamic uncertain causality graph (DUCG) is a newly presented framework for uncertain causality representation and probabilistic reasoning. It has been successfully applied to online fault diagnoses of large, complex industrial systems, and decease diagnoses. This paper extends the DUCG to model more complex cases than what could be previously modeled, e.g., the case in which statistical data are in different groups with or without overlap, and some domain knowledge and actions (new variables with uncertain causalities) are introduced...
March 17, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28328252/liberal-entity-extraction-rapid-construction-of-fine-grained-entity-typing-systems
#3
Lifu Huang, Jonathan May, Xiaoman Pan, Heng Ji, Xiang Ren, Jiawei Han, Lin Zhao, James A Hendler
The ability of automatically recognizing and typing entities in natural language without prior knowledge (e.g., predefined entity types) is a major challenge in processing such data. Most existing entity typing systems are limited to certain domains, genres, and languages. In this article, we propose a novel unsupervised entity-typing framework by combining symbolic and distributional semantics. We start from learning three types of representations for each entity mention: general semantic representation, specific context representation, and knowledge representation based on knowledge bases...
March 2017: Big Data
https://www.readbyqxmd.com/read/28325604/early-prediction-of-radiotherapy-induced-parotid-shrinkage-and-toxicity-based-on-ct-radiomics-and-fuzzy-classification
#4
Marco Pota, Elisa Scalco, Giuseppe Sanguineti, Alessia Farneti, Giovanni Mauro Cattaneo, Giovanna Rizzo, Massimo Esposito
MOTIVATION: Patients under radiotherapy for head-and-neck cancer often suffer of long-term xerostomia, and/or consistent shrinkage of parotid glands. In order to avoid these drawbacks, adaptive therapy can be planned for patients at risk, if the prediction is obtained timely, before or during the early phase of treatment. Artificial intelligence can address the problem, by learning from examples and building classification models. In particular, fuzzy logic has shown its suitability for medical applications, in order to manage uncertain data, and to build transparent rule-based classifiers...
March 18, 2017: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/28324696/online-neural-monitoring-of-statistical-learning
#5
Laura J Batterink, Ken A Paller
The extraction of patterns in the environment plays a critical role in many types of human learning, from motor skills to language acquisition. This process is known as statistical learning. Here we propose that statistical learning has two dissociable components: (1) perceptual binding of individual stimulus units into integrated composites and (2) storing those integrated representations for later use. Statistical learning is typically assessed using post-learning tasks, such that the two components are conflated...
February 24, 2017: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/28320847/multivoxel-pattern-analysis-reveals-3d-place-information-in-the-human-hippocampus
#6
Misun Kim, Kate J Jeffery, Eleanor A Maguire
The spatial world is three-dimensional (3D), and humans and other animals move both horizontally and vertically within it. Extant neuroscientific studies have typically investigated spatial navigation on a horizontal two-dimensional plane, leaving much unknown about how 3D spatial information is represented in the brain. Specifically, horizontal and vertical information may be encoded in the same or different neural structures with equal or unequal sensitivity. Here, we investigated these possibilities using functional MRI (fMRI) while participants were passively moved within a 3D lattice structure as if riding a rollercoaster...
March 20, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28318904/dual-memory-neural-networks-for-modeling-cognitive-activities-of-humans-via-wearable-sensors
#7
Sang-Woo Lee, Chung-Yeon Lee, Dong-Hyun Kwak, Jung-Woo Ha, Jeonghee Kim, Byoung-Tak Zhang
Wearable devices, such as smart glasses and watches, allow for continuous recording of everyday life in a real world over an extended period of time or lifelong. This possibility helps better understand the cognitive behavior of humans in real life as well as build human-aware intelligent agents for practical purposes. However, modeling the human cognitive activity from wearable-sensor data stream is challenging because learning new information often results in loss of previously acquired information, causing a problem known as catastrophic forgetting...
February 20, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28317874/predicting-sirna-efficacy-based-on-multiple-selective-sirna-representations-and-their-combination-at-score-level
#8
Fei He, Ye Han, Jianting Gong, Jiazhi Song, Han Wang, Yanwen Li
Small interfering RNAs (siRNAs) may induce to targeted gene knockdown, and the gene silencing effectiveness relies on the efficacy of the siRNA. Therefore, the task of this paper is to construct an effective siRNA prediction method. In our work, we try to describe siRNA from both quantitative and qualitative aspects. For quantitative analyses, we form four groups of effective features, including nucleotide frequencies, thermodynamic stability profile, thermodynamic of siRNA-mRNA interaction, and mRNA related features, as a new mixed representation, in which thermodynamic of siRNA-mRNA interaction is introduced to siRNA efficacy prediction for the first time to our best knowledge...
March 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28306753/non-monotonic-dependence-of-pickering-emulsion-gel-rheology-on-particle-volume-fraction
#9
M Kaganyuk, A Mohraz
The microstructure of Pickering emulsion gels features a tenuous network of faceted droplets, bridged together by shared monolayers of particles. In this investigation, we use standard oscillatory rheometry in conjunction with confocal microscopy to gain a more comprehensive understanding of the role particle bridged interfaces have on the rheology of Pickering emulsion gels. The zero-shear elastic modulus of Pickering emulsion gels shows a non-monotonic dependence on particle loading, with three separate regimes of power-law and linear gel strengthening, and subsequent gel weakening...
March 17, 2017: Soft Matter
https://www.readbyqxmd.com/read/28306551/master-equations-and-the-theory-of-stochastic-path-integrals
#10
Markus F Weber, Erwin Frey
This review provides a pedagogic and self-contained introduction to master equations and to their representation by path integrals. Since the 1930s, master equations have served as a fundamental tool to understand the role of fluctuations in complex biological, chemical, and physical systems. Despite their simple appearance, analyses of master equations most often rely on low-noise approximations such as the Kramers-Moyal or the system size expansion, or require ad-hoc closure schemes for the derivation of low-order moment equations...
April 2017: Reports on Progress in Physics
https://www.readbyqxmd.com/read/28302519/using-ontology-based-semantic-similarity-to-facilitate-the-article-screening-process-for-systematic-reviews
#11
Xiaonan Ji, Alan Ritter, Po-Yin Yen
OBJECTIVE: Systematic Reviews (SRs) are utilized to summarize evidence from high quality studies and are considered the preferred source of evidence-based practice (EBP). However, conducting SRs can be time and labor intensive due to the high cost of article screening. In previous studies, we demonstrated utilizing established (lexical) article relationships to facilitate the identification of relevant articles in an efficient and effective manner. Here we propose to enhance article relationships with background semantic knowledge derived from Unified Medical Language System (UMLS) concepts and ontologies...
March 13, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28301734/deep-learning-in-medical-image-analysis
#12
Dinggang Shen, Guorong Wu, Heung-Il Suk
This review covers computer-assisted analysis of images in the field of medical imaging. Recent advances in machine learning, especially with regard to deep learning, are helping to identify, classify, and quantify patterns in medical images. At the core of these advances is the ability to exploit hierarchical feature representations learned solely from data, instead of features designed by hand according to domain-specific knowledge. Deep learning is rapidly becoming the state of the art, leading to enhanced performance in various medical applications...
March 9, 2017: Annual Review of Biomedical Engineering
https://www.readbyqxmd.com/read/28301005/ci%C3%A3%C2%AAncia-sa%C3%A3%C2%BAde-coletiva-scientific-production-analysis-and-collaborative-research-networks
#13
Norma Conner, Attilio Provedel, Ethel Leonor Noia Maciel
The purpose of this metric and descriptive study was to identify the most productive authors and their collaborative research networks from articles published in Ciência & Saúde Coletiva between, 2005, and 2014. Authors meeting the cutoff criteria of at least 10 articles were considered the most productive authors. VOSviewer and Network Workbench technologies were applied for visual representations of collaborative research networks involving the most productive authors in the period. Initial analysis recovered 2511 distinct articles, with 8920 total authors with an average of 3...
March 2017: Ciência & Saúde Coletiva
https://www.readbyqxmd.com/read/28291188/quantification-of-peri-implant-bacterial-load-and-in-vivo-biofilm-formation-in-an-innovative-clinically-representative-mouse-model-of-periprosthetic-joint-infection
#14
Alberto V Carli, Samrath Bhimani, Xu Yang, Matthew B Shirley, Karen L de Mesy Bentley, F Patrick Ross, Mathias P G Bostrom
BACKGROUND: Periprosthetic joint infection (PJI) is a devastating complication following total joint arthroplasty. Current animal models of PJI are limited because of a lack of quantitative methods and failure to effectively recreate the periprosthetic space. We therefore developed a murine PJI model involving a 3-dimensionally printed Ti-6Al-4V implant capable of bearing weight and permitting quantitative analysis of periprosthetic bacterial load and evaluation of biofilm. METHODS: Twenty-five 12-week-old C57BL/6 mice received a unilateral proximal tibial implant and intra-articular injection of either 3 × 10 colony forming units (CFUs) of Staphylococcus aureus Xen 36 or saline solution...
March 15, 2017: Journal of Bone and Joint Surgery. American Volume
https://www.readbyqxmd.com/read/28290886/-the-insufficiency-type-of-metabolic-balance-and-nutritional-status-in-patient-with-heart-failure
#15
A G Obrezan, S A Spitsa
A lot of data has been accumulated at present on the metabolic and nutritional insufficiency in patients with chronic heart failure (CHF). Researchers have noted an actuality of the study of nutritional and metabolic insufficiency in CHF patients as independent factors affecting the course of CHF and because of its relationship with triggers of inflammation, sympathetic-adrenal system, and markers of functional state of the cardiovascular system (CVS). In some works attention has been given to relationship of nutritional and metabolic insufficiency with autonomic regulation of cardiac rhythm...
August 2016: Kardiologiia
https://www.readbyqxmd.com/read/28290235/time-knowledge-difficulties-following-treatment-for-malignant-cerebellar-tumors
#16
Florence Labrell, Hugo Câmara-Costa, Virginie Kieffer, Georges Dellatolas
In children treated for malignant cerebellar tumors, there are only a few studies investigating temporal skills, despite the role of the cerebellum in time processing being generally acknowledged. Children's time knowledge has been defined as the correct representation and use of familiar time units. The present study compares time knowledge in 38 children treated for malignant cerebellar tumors (mean age 11.6 years) with 105 typically-developing (TD) children. The performances on all time knowledge subtests were significantly lower in the tumor group...
March 14, 2017: Child Neuropsychology: a Journal on Normal and Abnormal Development in Childhood and Adolescence
https://www.readbyqxmd.com/read/28289200/dynamic-neural-architecture-for-social-knowledge-retrieval
#17
Yin Wang, Jessica A Collins, Jessica Koski, Tehila Nugiel, Athanasia Metoki, Ingrid R Olson
Social behavior is often shaped by the rich storehouse of biographical information that we hold for other people. In our daily life, we rapidly and flexibly retrieve a host of biographical details about individuals in our social network, which often guide our decisions as we navigate complex social interactions. Even abstract traits associated with an individual, such as their political affiliation, can cue a rich cascade of person-specific knowledge. Here, we asked whether the anterior temporal lobe (ATL) serves as a hub for a distributed neural circuit that represents person knowledge...
March 13, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28287973/optimized-color-filter-arrays-for-sparse-representation-based-demosaicking
#18
Jia Li, Chenyan Bai, Zhouchen Lin, Jian Yu
Demosaicking is the problem of reconstructing a color image from the raw image captured by a digital color camera that covers its only imaging sensor with a color filter array (CFA). Sparse representation based demosaicking has been shown to produce superior reconstruction quality. However, almost all existing algorithms in this category use the CFAs which are not specifically optimized for the algorithms. In this paper, we consider optimally designing CFAs for sparse representation based demosaicking, where the dictionary is well-chosen...
March 8, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28284761/embedding-of-semantic-predications
#19
Trevor Cohen, Dominic Widdows
This paper concerns the generation of distributed vector representations of biomedical concepts from structured knowledge, in the form of subject-relation-object triplets known as semantic predications. Specifically, we evaluate the extent to which a representational approach we have developed for this purpose previously, known as Predication-based Semantic Indexing (PSI), might benefit from insights gleaned from neural-probabilistic language models, which have enjoyed a surge in popularity in recent years as a means to generate distributed vector representations of terms from free text...
March 8, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28277924/follow-your-heart-development-of-an-evidence-based-campaign-empowering-older-women-with-hiv-to-participate-in-a-large-scale-cardiovascular-disease-prevention-trial
#20
Markella V Zanni, Kathleen Fitch, Corinne Rivard, Laura Sanchez, Pamela S Douglas, Steven Grinspoon, Laura Smeaton, Judith S Currier, Sara E Looby
BACKGROUND: Women's under-representation in HIV and cardiovascular disease (CVD) research suggests a need for novel strategies to ensure robust representation of women in HIV-associated CVD research. OBJECTIVE: To elicit perspectives on CVD research participation among a community-sample of women with or at risk for HIV, and to apply acquired insights toward the development of an evidence-based campaign empowering older women with HIV to participate in a large-scale CVD prevention trial...
March 2017: HIV Clinical Trials
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