WorldWideScience

Sample records for biomedical named entities

  1. A CONDITIONAL RANDOM FIELDS APPROACH TO BIOMEDICAL NAMED ENTITY RECOGNITION

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Named entity recognition is a fundamental task in biomedical data mining. In this letter, a named entity recognition system based on CRFs (Conditional Random Fields) for biomedical texts is presented. The system makes extensive use of a diverse set of features, including local features, full text features and external resource features. All features incorporated in this system are described in detail,and the impacts of different feature sets on the performance of the system are evaluated. In order to improve the performance of system, post-processing modules are exploited to deal with the abbreviation phenomena, cascaded named entity and boundary errors identification. Evaluation on this system proved that the feature selection has important impact on the system performance, and the post-processing explored has an important contribution on system performance to achieve better results.

  2. NAMED ENTITY RECOGNITION FROM BIOMEDICAL TEXT -AN INFORMATION EXTRACTION TASK

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    N. Kanya

    2016-07-01

    Full Text Available Biomedical Text Mining targets the Extraction of significant information from biomedical archives. Bio TM encompasses Information Retrieval (IR and Information Extraction (IE. The Information Retrieval will retrieve the relevant Biomedical Literature documents from the various Repositories like PubMed, MedLine etc., based on a search query. The IR Process ends up with the generation of corpus with the relevant document retrieved from the Publication databases based on the query. The IE task includes the process of Preprocessing of the document, Named Entity Recognition (NER from the documents and Relationship Extraction. This process includes Natural Language Processing, Data Mining techniques and machine Language algorithm. The preprocessing task includes tokenization, stop word Removal, shallow parsing, and Parts-Of-Speech tagging. NER phase involves recognition of well-defined objects such as genes, proteins or cell-lines etc. This process leads to the next phase that is extraction of relationships (IE. The work was based on machine learning algorithm Conditional Random Field (CRF.

  3. Incorporating domain knowledge in chemical and biomedical named entity recognition with word representations

    OpenAIRE

    Munkhdalai, Tsendsuren; Li, Meijing; Batsuren, Khuyagbaatar; Park, Hyeon Ah; Choi, Nak Hyeon; Ryu, Keun Ho

    2015-01-01

    Background Chemical and biomedical Named Entity Recognition (NER) is an essential prerequisite task before effective text mining can begin for biochemical-text data. Exploiting unlabeled text data to leverage system performance has been an active and challenging research topic in text mining due to the recent growth in the amount of biomedical literature. We present a semi-supervised learning method that efficiently exploits unlabeled data in order to incorporate domain knowledge into a named...

  4. NERBio: using selected word conjunctions, term normalization, and global patterns to improve biomedical named entity recognition

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    Hung Hsieh-Chuan

    2006-12-01

    Full Text Available Abstract Background Biomedical named entity recognition (Bio-NER is a challenging problem because, in general, biomedical named entities of the same category (e.g., proteins and genes do not follow one standard nomenclature. They have many irregularities and sometimes appear in ambiguous contexts. In recent years, machine-learning (ML approaches have become increasingly common and now represent the cutting edge of Bio-NER technology. This paper addresses three problems faced by ML-based Bio-NER systems. First, most ML approaches usually employ singleton features that comprise one linguistic property (e.g., the current word is capitalized and at least one class tag (e.g., B-protein, the beginning of a protein name. However, such features may be insufficient in cases where multiple properties must be considered. Adding conjunction features that contain multiple properties can be beneficial, but it would be infeasible to include all conjunction features in an NER model since memory resources are limited and some features are ineffective. To resolve the problem, we use a sequential forward search algorithm to select an effective set of features. Second, variations in the numerical parts of biomedical terms (e.g., "2" in the biomedical term IL2 cause data sparseness and generate many redundant features. In this case, we apply numerical normalization, which solves the problem by replacing all numerals in a term with one representative numeral to help classify named entities. Third, the assignment of NE tags does not depend solely on the target word's closest neighbors, but may depend on words outside the context window (e.g., a context window of five consists of the current word plus two preceding and two subsequent words. We use global patterns generated by the Smith-Waterman local alignment algorithm to identify such structures and modify the results of our ML-based tagger. This is called pattern-based post-processing. Results To develop our ML

  5. Using Ontology Fingerprints to disambiguate gene name entities in the biomedical literature

    OpenAIRE

    Chen, Guocai; Zhao, Jieyi; Cohen, Trevor; Tao, Cui; Sun, Jingchun; Xu, Hua; Bernstam, Elmer V.; Lawson, Andrew; Zeng, Jia; Johnson, Amber M.; Holla, Vijaykumar; Bailey, Ann M.; Lara-Guerra, Humberto; Litzenburger, Beate; Meric-Bernstam, Funda

    2015-01-01

    Ambiguous gene names in the biomedical literature are a barrier to accurate information extraction. To overcome this hurdle, we generated Ontology Fingerprints for selected genes that are relevant for personalized cancer therapy. These Ontology Fingerprints were used to evaluate the association between genes and biomedical literature to disambiguate gene names. We obtained 93.6% precision for the test gene set and 80.4% for the area under a receiver-operating characteristics curve for gene an...

  6. Named entity normalization in user generated content

    NARCIS (Netherlands)

    V. Jijkoun; M.A. Khalid; M. Marx; M. de Rijke

    2008-01-01

    Named entity recognition is important for semantically oriented retrieval tasks, such as question answering, entity retrieval, biomedical retrieval, trend detection, and event and entity tracking. In many of these tasks it is important to be able to accurately normalize the recognized entities, i.e.

  7. HMM based Korean Named Entity Recognition

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    Yi-Gyu Hwang

    2003-02-01

    Full Text Available In this paper, we present a named entity recognition model for Korean Language. Named entity recognition is an essential and important process of Question Answering and Information Extraction system. This paper proposes a HMM based named entity recognition using compound word construction principles. In Korean, above 60% of NE (Named-Entity is a compound word. This compound word may be consisted of proper noun, common noun, or bound noun, etc. There is an intercontextual relationship among nouns which consists NE. NE and surrounding words of NE have a contextual relationship. For considering these relationships, we classified nouns into 4 word classes (Independent Entity, Constituent Entity, Adjacent Entity, Not an Entity. With this classification, our system gets contextual and lexical information by stochastic based machine leaning method from a NE labeled training data. Experimental result shows that this approach is better approach than rulebased in the Korean named-entity recognition.

  8. Named entity recognition in Slovene text

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    Tadej Štajner

    2013-12-01

    Full Text Available This paper presents an approach and an implementation of a named entity extractor for Slovene language, based on a machine learning approach. It is designed as a supervised algorithm based on Conditional Random Fields and is trained on the ssj500k annotated corpus of Slovene. The corpus, which is available under a Creative Commons CC-BY-NC-SA licence, is annotated with morphosyntactic tags, as well as named entities for people, locations, organisations, and miscellaneous names. The paper discusses the influence of morphosyntactic tags, lexicons and conjunctions of features of neighbouring words. An important contribution of this investigation is that morphosyntactic tags benefit named entity extraction. Using all the best-performing features the recognizer reaches a precision of 74% and a recall of 72%, having stronger performance on personal and geographical named entities, followed by organizations, but performs poorly on the miscellaneous entities, since this class is very diverse and consequently difficult to predict. A major contribution of the paper is also showing the benefits of splitting the class of miscellaneous entities into organizations and other entities, which in turn improves performance even on personal and organizational names. The software, developed in this research is freely available under the Apache 2.0 licence at http://ailab.ijs.si/~tadej/slner.zip, while development versions are available at https://github.com/tadejs/slner.

  9. Cross domains Arabic named entity recognition system

    KAUST Repository

    Al-Ahmari, S. Saad

    2016-07-11

    Named Entity Recognition (NER) plays an important role in many Natural Language Processing (NLP) applications such as; Information Extraction (IE), Question Answering (QA), Text Clustering, Text Summarization and Word Sense Disambiguation. This paper presents the development and implementation of domain independent system to recognize three types of Arabic named entities. The system works based on a set of domain independent grammar-rules along with Arabic part of speech tagger in addition to gazetteers and lists of trigger words. The experimental results shown, that the system performed as good as other systems with better results in some cases of cross-domains corpora. © (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

  10. Recognizing Named Entities in Turkish Tweets

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    Beyza Eken

    2015-01-01

    Full Text Available Named entity recognition (NER is one of the well-s tudied sub-branch of natural language processing (NLP. State of the art NER systems give highly accurate results in domain of formal texts. With the expansion of microblog sites and so cial media, this informal text domain has become a new trend in NLP studies. Recent works has shown, social media texts are hard to process and the performance of the current systems substantially decrease when switched to this domain. We give our experience in improving named e ntity recognition on informal social media texts for the case of tweets.

  11. Named Entity Recognition Using Web Document Corpus

    CERN Document Server

    Karaa, Wahiba Ben Abdessalem

    2011-01-01

    This paper introduces a named entity recognition approach in textual corpus. This Named Entity (NE) can be a named: location, person, organization, date, time, etc., characterized by instances. A NE is found in texts accompanied by contexts: words that are left or right of the NE. The work mainly aims at identifying contexts inducing the NE's nature. As such, The occurrence of the word "President" in a text, means that this word or context may be followed by the name of a president as President "Obama". Likewise, a word preceded by the string "footballer" induces that this is the name of a footballer. NE recognition may be viewed as a classification method, where every word is assigned to a NE class, regarding the context. The aim of this study is then to identify and classify the contexts that are most relevant to recognize a NE, those which are frequently found with the NE. A learning approach using training corpus: web documents, constructed from learning examples is then suggested. Frequency representatio...

  12. Named Entity Recognition Using Web Document Corpus

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    Wahiba Ben Abdessalem Karaa

    2011-02-01

    Full Text Available This paper introduces a named entity recognition approach in textual corpus. This Named Entity (NE can be a named: location, person, organization, date, time, etc., characterized by instances. A NE isfound in texts accompanied by contexts: words that are left or right of the NE. The work mainly aims at identifying contexts inducing the NE’s nature. As such, The occurrence of the word "President" in atext, means that this word or context may be followed by the name of a president as President "Obama". Likewise, a word preceded by the string "footballer" induces that this is the name of afootballer. NE recognition may be viewed as a classification method, where every word is assigned to a NE class, regarding the context. The aim of this study is then to identify and classify the contexts that are most relevant to recognize aNE, those which are frequently found with the NE. A learning approach using training corpus: web documents, constructed from learning examples is then suggested. Frequency representations andmodified tf-idf representations are used to calculate the context weights associated to context frequency, learning example frequency, and document frequency in the corpus.

  13. Indexing concepts and/or named entities Indicizzare concetti e/o named entities

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    Pino Buizza

    2011-12-01

    Full Text Available

    A partire da un punto di vista semantico più che morfologico, l'articolo è focalizzato il problema del significato dei nomi propri, con contributi della filosofia del linguaggio e della linguistica semantica. Sono indagate le entità individuali: il loro isolamento all’interno della rete di soggetti e la relazione esemplificativa, il trattamento nelle classificazioni. Le profonde diversità rilevate fra concetti e entità denominate suggeriscono di dichiararle esplicitamente da un punto di vista teorico e di adottare dispositivi che diano risultati unitari ma chiaramente distinguibili nei sistemi di recupero dell’informazione.  
    Questo contributo è stato presentato col titolo Indexing concepts and/or named entities all'11th ISKO Conference, Paradigms and conceptual systems in knowledge organization, Roma, 23-26 febbraio 2010, non pubblicato negli atti, e qui leggermente ampliato.

    Starting from a semantic rather than form a morphological point of view, the essay examines the problem of the meaning of proper names, with contributions coming from the philosophy of language and the semantic linguistics. Individual entities are explored: the way they are isolated in the thread of subjects, the illustrative relation, and the classification treatment. The deep differences between concepts and called entities suggest to declare them specifically in a theoretical way, and to adopt devices that lead to uniform but noticeable results in information retrieval systems.
    This article has been discussed as "Indexing concepts and/or named entities" to the 11th ISKO Conference, Paradigms and conceptual systems in knowledge organization, Rome, 23-26 February 2010, here extended since it is not published in the conference proceedings.

  14. Disease named entity recognition by combining conditional random fields and bidirectional recurrent neural networks

    Science.gov (United States)

    Wei, Qikang; Chen, Tao; Xu, Ruifeng; He, Yulan; Gui, Lin

    2016-01-01

    The recognition of disease and chemical named entities in scientific articles is a very important subtask in information extraction in the biomedical domain. Due to the diversity and complexity of disease names, the recognition of named entities of diseases is rather tougher than those of chemical names. Although there are some remarkable chemical named entity recognition systems available online such as ChemSpot and tmChem, the publicly available recognition systems of disease named entities are rare. This article presents a system for disease named entity recognition (DNER) and normalization. First, two separate DNER models are developed. One is based on conditional random fields model with a rule-based post-processing module. The other one is based on the bidirectional recurrent neural networks. Then the named entities recognized by each of the DNER model are fed into a support vector machine classifier for combining results. Finally, each recognized disease named entity is normalized to a medical subject heading disease name by using a vector space model based method. Experimental results show that using 1000 PubMed abstracts for training, our proposed system achieves an F1-measure of 0.8428 at the mention level and 0.7804 at the concept level, respectively, on the testing data of the chemical-disease relation task in BioCreative V. Database URL: http://219.223.252.210:8080/SS/cdr.html PMID:27777244

  15. A generic open world named entity disambiguation approach for tweets

    NARCIS (Netherlands)

    Habib, M.B.; Keulen, van M.

    2013-01-01

    Social media is a rich source of information. To make use of this information, it is sometimes required to extract and disambiguate named entities. In this paper we focus on named entity disambiguation (NED) in twitter messages. NED in tweets is challenging in two ways. First, the limited length of

  16. Named Entity Recognition Based on A Machine Learning Model

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    Jing Wang

    2012-09-01

    Full Text Available For the recruitment information in Web pages, a novel unified model for named entity recognition is proposed in this study. The models provide a simple statistical framework to incorporate a wide variety of linguistic knowledge and statistical models in a unified way. In our approach, firstly, Multi-Rules are built for a better representation of the named entity, in order to emphasize the specific semantics and term space in the named entity. Then an optimal algorithm of the hierarchically structured DSTCRFs is performed, in order to pick out the structure attributes of the named entity from the recruitment knowledge and optimize the efficiency of the training. The experimental results showed that the accuracy rate has been significantly improved and the complexity of sample training has been decreased.

  17. Named Entity Recognition in Turkish Using Association Measures

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    Senem Kumova Metin

    2012-08-01

    Full Text Available Named Entity Recognition which is an important subject of Natural Language Processing is a key technology of information extraction, information retrieval, question answering and other text processing applications. In this study, we evaluate previously well-established association measures as an initial attempt to extract two-worded named entities in a Turkish corpus. Furthermore we propose a new association measure, and compare it with the other methods. The evaluation of these methods is performed by precision and recall measures.

  18. Integrating Semantic Features for Enhancing Arabic Named Entity Recognition

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    Hamzah A. Alsayadi

    2016-03-01

    Full Text Available Named Entity Recognition (NER is currently an essential research area that supports many tasks in NLP. Its goal is to find a solution to boost accurately the named entities identification. This paper presents an integrated semantic-based Machine learning (ML model for Arabic Named Entity Recognition (ANER problem. The basic idea of that model is to combine several linguistic features and to utilize syntactic dependencies to infer semantic relations between named entities. The proposed model focused on recognizing three types of named entities: person, organization and location. Accordingly, it combines internal features that represented linguistic features as well as external features that represent the semantic of relations between the three named entities to enhance the accuracy of recognizing them using external knowledge source such as Arabic WordNet ontology (ANW. We introduced both features to CRF classifier, which are effective for ANER. Experimental results show that this approach can achieve an overall F-measure around 87.86% and 84.72% for ANERCorp and ALTEC datasets respectively.

  19. Integrated Machine Learning Techniques for Arabic Named Entity Recognition

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    Samir AbdelRahman

    2010-07-01

    Full Text Available Named Entity Recognition (NER task has become essential to improve the performance of many NLP tasks. Its aim is to endeavor a solution to boost accurately the identification of extracted named entities. This paper presents a novel solution for Arabic Named Entity Recognition (ANER problem. The solution is an integration approach between two machine learning techniques, namely bootstrapping semi-supervised pattern recognition and Conditional Random Fields (CRF classifier as a supervised technique. The paper solution contributions are the exploit of pattern and word semantic fields as CRF features, the adventure of utilizing bootstrapping semisupervised pattern recognition technique in Arabic Language, and the integration success to improve the performance of its components. Moreover, as per to our knowledge, this proposed integration has not been utilized for NER task of other natural languages. Using 6-fold cross-validation experimental tests, the solution is proved that it outperforms previous CRF sole work and LingPipe tool.

  20. Enhanced Named Entity Extraction via Error-Driven Aggregation

    Energy Technology Data Exchange (ETDEWEB)

    Lemmond, T D; Perry, N C; Guensche, J W; Nitao, J J; Glaser, R E; Kidwell, P; Hanley, W G

    2010-02-22

    Despite recent advances in named entity extraction technologies, state-of-the-art extraction tools achieve insufficient accuracy rates for practical use in many operational settings. However, they are not generally prone to the same types of error, suggesting that substantial improvements may be achieved via appropriate combinations of existing tools, provided their behavior can be accurately characterized and quantified. In this paper, we present an inference methodology for the aggregation of named entity extraction technologies that is founded upon a black-box analysis of their respective error processes. This method has been shown to produce statistically significant improvements in extraction relative to standard performance metrics and to mitigate the weak performance of entity extractors operating under suboptimal conditions. Moreover, this approach provides a framework for quantifying uncertainty and has demonstrated the ability to reconstruct the truth when majority voting fails.

  1. Arabic Named Entity Recognition Using Artificial Neural Network

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    Naji F. Mohammed

    2012-01-01

    Full Text Available Problem statement: Named Entity Recognition (NER is a task to identify proper names as well as temporal and numeric expressions, in an open-domain text. The NER task can help to improve the performance of various Natural Language Processing (NLP applications such as Information Extraction (IE, Information Retrieval (IR and Question Answering (QA tasks. This study discusses on the Named Entity Recognition of Arabic (NERA. The motivation is due to the lack of resources for Arabic named entities and to enhance the accuracy that has been reached in previous NERA systems. Approach: This system is designed based on neural network approach. The main task of neural network approach is to automatically learn to recognize component patterns and make intelligent decisions based on available data and it can also be applied to classify new information within large databases. The use of machine learning approach to classify NER from Arabic text based on neural network technique is proposed. Neural network approach has performed successfully in many areas of artificial intelligence. The system involves three stages: the first stage is pre-processing that cleans the collected data, the second involves converting Arabic letters to Roman alphabets and the final stage applies neural network to classify the collected data. Results: The accuracy of the system is 92 %. The system is compared with decision tree using the same data. The results showed that the neural network approach achieved better than decision tree. Conclusion: These results prove that our technique is capable to recognize named entities of Arabic texts.

  2. Hybrid Approach to English-Hindi Name Entity Transliteration

    OpenAIRE

    Mathur, Shruti; Saxena, Varun Prakash

    2014-01-01

    Machine translation (MT) research in Indian languages is still in its infancy. Not much work has been done in proper transliteration of name entities in this domain. In this paper we address this issue. We have used English-Hindi language pair for our experiments and have used a hybrid approach. At first we have processed English words using a rule based approach which extracts individual phonemes from the words and then we have applied statistical approach which converts the English into its...

  3. JRC-Names: A freely available, highly multilingual named entity resource

    OpenAIRE

    Steinberger, Ralf; Pouliquen, Bruno; KABADJOV Mijail; VAN DER GOOT Erik

    2013-01-01

    This paper describes a new, freely available, highly multilingual named entity resource for person and organisation names that has been compiled over seven years of large-scale multilingual news analysis combined with Wikipedia mining, resulting in 205,000 per-son and organisation names plus about the same number of spelling variants written in over 20 different scripts and in many more languages. This resource, produced as part of the Europe Media Monitor activity (EMM, http://emm.newsbrief....

  4. Named Entity Recognition and Classification in Kannada Language

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    S Amarappa

    2013-01-01

    Full Text Available Named Entity Recognition and classification (NERC is an essential and challenging task in (NLP. Kannada is a highly inflectional and agglutinating language providing one of the richest and most challenging sets of linguistic and statistical features resulting in long and complex word forms, which is large in number. It is primarily a suffixing Language and inflected word starts with a root and may have several suffixes added to the right. It is also a Freeword order Language. Like other Indian languages, it is a resource poor language. Annotated corpora, name dictionaries, good morphological analyzers, Parts of Speech (POS taggers etc. are not yet available in the required measure and not many works are reported for this language. The work related to NERC in Kannada is not yet reported. In recent years, automatic named entity recognition and extraction systems have become one of the popular research areas. Building NERC for Kannada is challenging. It seeks to classify words which represent names in text into predefined categories like person name, location, organization, date, time etc. This paper deals with some attempts in this direction. This work starts with experiments in building Semi-Automated Statistical Machine learning NLP Models based on Noun Taggers. In this paper we have developed an algorithm based on supervised learning techniques that include Hidden Markov Model (HMM. Some sample results are reported.

  5. LINNAEUS: A species name identification system for biomedical literature

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    Nenadic Goran

    2010-02-01

    Full Text Available Abstract Background The task of recognizing and identifying species names in biomedical literature has recently been regarded as critical for a number of applications in text and data mining, including gene name recognition, species-specific document retrieval, and semantic enrichment of biomedical articles. Results In this paper we describe an open-source species name recognition and normalization software system, LINNAEUS, and evaluate its performance relative to several automatically generated biomedical corpora, as well as a novel corpus of full-text documents manually annotated for species mentions. LINNAEUS uses a dictionary-based approach (implemented as an efficient deterministic finite-state automaton to identify species names and a set of heuristics to resolve ambiguous mentions. When compared against our manually annotated corpus, LINNAEUS performs with 94% recall and 97% precision at the mention level, and 98% recall and 90% precision at the document level. Our system successfully solves the problem of disambiguating uncertain species mentions, with 97% of all mentions in PubMed Central full-text documents resolved to unambiguous NCBI taxonomy identifiers. Conclusions LINNAEUS is an open source, stand-alone software system capable of recognizing and normalizing species name mentions with speed and accuracy, and can therefore be integrated into a range of bioinformatics and text-mining applications. The software and manually annotated corpus can be downloaded freely at http://linnaeus.sourceforge.net/.

  6. Incorporating rich background knowledge for gene named entity classification and recognition

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    Yang Zhihao

    2009-07-01

    Full Text Available Abstract Background Gene named entity classification and recognition are crucial preliminary steps of text mining in biomedical literature. Machine learning based methods have been used in this area with great success. In most state-of-the-art systems, elaborately designed lexical features, such as words, n-grams, and morphology patterns, have played a central part. However, this type of feature tends to cause extreme sparseness in feature space. As a result, out-of-vocabulary (OOV terms in the training data are not modeled well due to lack of information. Results We propose a general framework for gene named entity representation, called feature coupling generalization (FCG. The basic idea is to generate higher level features using term frequency and co-occurrence information of highly indicative features in huge amount of unlabeled data. We examine its performance in a named entity classification task, which is designed to remove non-gene entries in a large dictionary derived from online resources. The results show that new features generated by FCG outperform lexical features by 5.97 F-score and 10.85 for OOV terms. Also in this framework each extension yields significant improvements and the sparse lexical features can be transformed into both a lower dimensional and more informative representation. A forward maximum match method based on the refined dictionary produces an F-score of 86.2 on BioCreative 2 GM test set. Then we combined the dictionary with a conditional random field (CRF based gene mention tagger, achieving an F-score of 89.05, which improves the performance of the CRF-based tagger by 4.46 with little impact on the efficiency of the recognition system. A demo of the NER system is available at http://202.118.75.18:8080/bioner.

  7. Network analysis of named entity interactions in written texts

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    Amancio, Diego R

    2015-01-01

    The use of methods borrowed from statistics and physics has allowed for the discovery of unprecedent patterns of human behavior and cognition by establishing links between models features and language structure. While current models have been useful to identify patterns via analysis of syntactical and semantical networks, only a few works have probed the relevance of investigating the structure arising from the relationship between relevant entities such as characters, locations and organizations. In this study, we introduce a model that links entities appearing in the same context in order to capture the complexity of entities organization through a networked representation. Computational simulations in books revealed that the proposed model displays interesting topological features, such as short typical shortest path length, high values of clustering coefficient and modular organization. The effectiveness of the our model was verified in a practical pattern recognition task in real networks. When compared ...

  8. TwitterNEED: a hybrid approach for named entity extraction and disambiguation for tweets

    NARCIS (Netherlands)

    Habib, Mena B.; Keulen, van Maurice

    2016-01-01

    Twitter is a rich source of continuously and instantly updated information. Shortness and informality of tweets are challenges for Natural Language Processing tasks. In this paper, we present TwitterNEED, a hybrid approach for Named Entity Extraction and Named Entity Disambiguation for tweets. We be

  9. Chemical named entities recognition: a review on approaches and applications

    OpenAIRE

    Eltyeb, Safaa; Salim, Naomie

    2014-01-01

    The rapid increase in the flow rate of published digital information in all disciplines has resulted in a pressing need for techniques that can simplify the use of this information. The chemistry literature is very rich with information about chemical entities. Extracting molecules and their related properties and activities from the scientific literature to “text mine” these extracted data and determine contextual relationships helps research scientists, particularly those in drug developmen...

  10. A Variance Based Active Learning Approach for Named Entity Recognition

    Science.gov (United States)

    Hassanzadeh, Hamed; Keyvanpour, Mohammadreza

    The cost of manually annotating corpora is one of the significant issues in many text based tasks such as text mining, semantic annotation and generally information extraction. Active Learning is an approach that deals with reduction of labeling costs. In this paper we proposed an effective active learning approach based on minimal variance that reduces manual annotation cost by using a small number of manually labeled examples. In our approach we use a confidence measure based on the model's variance that reaches a considerable accuracy for annotating entities. Conditional Random Field (CRF) is chosen as the underlying learning model due to its promising performance in many sequence labeling tasks. The experiments show that the proposed method needs considerably fewer manual labeled samples to produce a desirable result.

  11. Assessment of disease named entity recognition on a corpus of annotated sentences

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    Berlanga Rafael

    2008-04-01

    Full Text Available Abstract Background In recent years, the recognition of semantic types from the biomedical scientific literature has been focused on named entities like protein and gene names (PGNs and gene ontology terms (GO terms. Other semantic types like diseases have not received the same level of attention. Different solutions have been proposed to identify disease named entities in the scientific literature. While matching the terminology with language patterns suffers from low recall (e.g., Whatizit other solutions make use of morpho-syntactic features to better cover the full scope of terminological variability (e.g., MetaMap. Currently, MetaMap that is provided from the National Library of Medicine (NLM is the state of the art solution for the annotation of concepts from UMLS (Unified Medical Language System in the literature. Nonetheless, its performance has not yet been assessed on an annotated corpus. In addition, little effort has been invested so far to generate an annotated dataset that links disease entities in text to disease entries in a database, thesaurus or ontology and that could serve as a gold standard to benchmark text mining solutions. Results As part of our research work, we have taken a corpus that has been delivered in the past for the identification of associations of genes to diseases based on the UMLS Metathesaurus and we have reprocessed and re-annotated the corpus. We have gathered annotations for disease entities from two curators, analyzed their disagreement (0.51 in the kappa-statistic and composed a single annotated corpus for public use. Thereafter, three solutions for disease named entity recognition including MetaMap have been applied to the corpus to automatically annotate it with UMLS Metathesaurus concepts. The resulting annotations have been benchmarked to compare their performance. Conclusions The annotated corpus is publicly available at ftp://ftp.ebi.ac.uk/pub/software/textmining/corpora/diseases and can serve as

  12. Using Amazon’s Mechanical Turk for Annotating Medical Named Entities

    Science.gov (United States)

    Yetisgen-Yildiz, Meliha; Solti, Imre; Xia, Fei

    2010-01-01

    Amazon’s Mechanical Turk (AMT) service is becoming increasingly popular in Natural Language Processing (NLP) research. In this poster, we report our findings in using AMT to annotate biomedical text extracted from clinical trial descriptions with three entity types: medical condition, medication, and laboratory test. We also describe our observations on AMT workers’ annotations. PMID:21785667

  13. Combined SVM-CRFs for biological named entity recognition with maximal bidirectional squeezing.

    Directory of Open Access Journals (Sweden)

    Fei Zhu

    Full Text Available Biological named entity recognition, the identification of biological terms in text, is essential for biomedical information extraction. Machine learning-based approaches have been widely applied in this area. However, the recognition performance of current approaches could still be improved. Our novel approach is to combine support vector machines (SVMs and conditional random fields (CRFs, which can complement and facilitate each other. During the hybrid process, we use SVM to separate biological terms from non-biological terms, before we use CRFs to determine the types of biological terms, which makes full use of the power of SVM as a binary-class classifier and the data-labeling capacity of CRFs. We then merge the results of SVM and CRFs. To remove any inconsistencies that might result from the merging, we develop a useful algorithm and apply two rules. To ensure biological terms with a maximum length are identified, we propose a maximal bidirectional squeezing approach that finds the longest term. We also add a positive gain to rare events to reinforce their probability and avoid bias. Our approach will also gradually extend the context so more contextual information can be included. We examined the performance of four approaches with GENIA corpus and JNLPBA04 data. The combination of SVM and CRFs improved performance. The macro-precision, macro-recall, and macro-F(1 of the SVM-CRFs hybrid approach surpassed conventional SVM and CRFs. After applying the new algorithms, the macro-F1 reached 91.67% with the GENIA corpus and 84.04% with the JNLPBA04 data.

  14. Named-Entity Tagging a Very Large Unbalanced Corpus. Training and Evaluating NE classifiers

    DEFF Research Database (Denmark)

    Bingel, Joachim; Haider, Thomas

    2014-01-01

    We describe a systematic and application-oriented approach to training and evaluating named entity recognition and classification (NERC) systems, the purpose of which is to identify an optimal system and to train an optimal model for named entity tagging DeReKo, a very large general-purpose corpus...... when evaluated on more uniform and less diverse data. We create and manually annotate such a representative sample as evaluation data for three different NERC systems, for each of which various models are learnt on multiple training data. The proposed sampling method can be viewed as a generally...

  15. BRONCO: Biomedical entity Relation ONcology COrpus for extracting gene-variant-disease-drug relations.

    Science.gov (United States)

    Lee, Kyubum; Lee, Sunwon; Park, Sungjoon; Kim, Sunkyu; Kim, Suhkyung; Choi, Kwanghun; Tan, Aik Choon; Kang, Jaewoo

    2016-01-01

    Comprehensive knowledge of genomic variants in a biological context is key for precision medicine. As next-generation sequencing technologies improve, the amount of literature containing genomic variant data, such as new functions or related phenotypes, rapidly increases. Because numerous articles are published every day, it is almost impossible to manually curate all the variant information from the literature. Many researchers focus on creating an improved automated biomedical natural language processing (BioNLP) method that extracts useful variants and their functional information from the literature. However, there is no gold-standard data set that contains texts annotated with variants and their related functions. To overcome these limitations, we introduce a Biomedical entity Relation ONcology COrpus (BRONCO) that contains more than 400 variants and their relations with genes, diseases, drugs and cell lines in the context of cancer and anti-tumor drug screening research. The variants and their relations were manually extracted from 108 full-text articles. BRONCO can be utilized to evaluate and train new methods used for extracting biomedical entity relations from full-text publications, and thus be a valuable resource to the biomedical text mining research community. Using BRONCO, we quantitatively and qualitatively evaluated the performance of three state-of-the-art BioNLP methods. We also identified their shortcomings, and suggested remedies for each method. We implemented post-processing modules for the three BioNLP methods, which improved their performance.Database URL:http://infos.korea.ac.kr/bronco. PMID:27074804

  16. Discovery of Predicate-Oriented Relations among Named Entities Extracted from Thai Texts

    Science.gov (United States)

    Tongtep, Nattapong; Theeramunkong, Thanaruk

    Extracting named entities (NEs) and their relations is more difficult in Thai than in other languages due to several Thai specific characteristics, including no explicit boundaries for words, phrases and sentences; few case markers and modifier clues; high ambiguity in compound words and serial verbs; and flexible word orders. Unlike most previous works which focused on NE relations of specific actions, such as work_for, live_in, located_in, and kill, this paper proposes more general types of NE relations, called predicate-oriented relation (PoR), where an extracted action part (verb) is used as a core component to associate related named entities extracted from Thai Texts. Lacking a practical parser for the Thai language, we present three types of surface features, i.e. punctuation marks (such as token spaces), entity types and the number of entities and then apply five alternative commonly used learning schemes to investigate their performance on predicate-oriented relation extraction. The experimental results show that our approach achieves the F-measure of 97.76%, 99.19%, 95.00% and 93.50% on four different types of predicate-oriented relation (action-location, location-action, action-person and person-action) in crime-related news documents using a data set of 1,736 entity pairs. The effects of NE extraction techniques, feature sets and class unbalance on the performance of relation extraction are explored.

  17. A survey of Named Entity Recognition in English and other Indian Languages

    Directory of Open Access Journals (Sweden)

    Darvinder Kaur

    2010-11-01

    Full Text Available In this paper, a survey is done on various approaches used to recognize name entity in various Indian languages. Firstly, the introduction is given about the work done in the NER task. Then a survey is given about the work done in recognition of name entities in English and other foreign languages like Spanish, Chinese etc. In English language, lots of work has been done in this field, where capitalization is a major clue for making rules. Secondly, a survey is given regarding the work done in Indian Languages. As Punjabi is one of the Indian languages and also the official language of Punjab. In next part, survey is given on Punjabi Language regarding what work is done and what work is going on in this field.

  18. Named entity recognition using conditional random fields with non-local relational constraints

    OpenAIRE

    Cecchini, Flavio Massimiliano; Fersini, Elisabetta

    2013-01-01

    We begin by introducing the Computer Science branch of Natural Language Processing, then narrowing the attention on its subbranch of Information Extraction and particularly on Named Entity Recognition, discussing briefly its main methodological approaches. It follows an introduction to state-of-the-art Conditional Random Fields under the form of linear chains. Subsequently, the idea of constrained inference as a way to model long-distance relationships in a text is presented, based on an Inte...

  19. Named Entity Identifier for Malayalam Using Linguistic Principles Employing Statistical Methods

    Directory of Open Access Journals (Sweden)

    Bindu.M.S

    2011-09-01

    Full Text Available Natural language processing (NLP began as a branch of Artificial Intelligence is a field of computer science and linguistics and is concerned with interaction between human language and computer. Major tasks of NLP such as Machine Translation (MT, Information Retrieval (IR and Summarization require extensive knowledge of the language for the effective identification of semantic information in the text. Meaning or semantics of a text is mainly decided by the named entities which are the role carrying agents in a text. The system presented here is a Named Entity (NE Identifier created using Statistical methods based on linguistic grammar principles. Malayalam NER is a difficult task as each word of named entity has no specific feature such as Capitalization feature in English. NERs in other languages are not suitable for Malayalam language since its morphology, syntax and lexical semantics is different from them. For testing this system, documents from well known Malayalam news papers and magazines containing passages from five different fields are selected. Experimental results show that the average precision recall and F-measure values are 85.52%, 86.32% and 85.61% respectively.

  20. ONER: Tool for Organization Named Entity Recognition from Affiliation Strings in PubMed Abstracts

    CERN Document Server

    Jonnalagadda, Siddhartha; Gonzalez, Graciela

    2010-01-01

    Automatically extracting organization names from the affiliation sentences of articles related to biomedicine is of great interest to the pharmaceutical marketing industry, health care funding agencies and public health officials. It will also be useful for other scientists in normalizing author names, automatically creating citations, indexing articles and identifying potential resources or collaborators. Today there are more than 18 million articles related to biomedical research indexed in PubMed, and information derived from them could be used effectively to save the great amount of time and resources spent by government agencies in understanding the scientific landscape, including key opinion leaders and centers of excellence. Our process for extracting organization names involves multi-layered rule matching with multiple dictionaries. The system achieves 99.6% f-measure in extracting organization names.

  1. ChemTok: A New Rule Based Tokenizer for Chemical Named Entity Recognition

    Directory of Open Access Journals (Sweden)

    Abbas Akkasi

    2016-01-01

    Full Text Available Named Entity Recognition (NER from text constitutes the first step in many text mining applications. The most important preliminary step for NER systems using machine learning approaches is tokenization where raw text is segmented into tokens. This study proposes an enhanced rule based tokenizer, ChemTok, which utilizes rules extracted mainly from the train data set. The main novelty of ChemTok is the use of the extracted rules in order to merge the tokens split in the previous steps, thus producing longer and more discriminative tokens. ChemTok is compared to the tokenization methods utilized by ChemSpot and tmChem. Support Vector Machines and Conditional Random Fields are employed as the learning algorithms. The experimental results show that the classifiers trained on the output of ChemTok outperforms all classifiers trained on the output of the other two tokenizers in terms of classification performance, and the number of incorrectly segmented entities.

  2. ChemTok: A New Rule Based Tokenizer for Chemical Named Entity Recognition.

    Science.gov (United States)

    Akkasi, Abbas; Varoğlu, Ekrem; Dimililer, Nazife

    2016-01-01

    Named Entity Recognition (NER) from text constitutes the first step in many text mining applications. The most important preliminary step for NER systems using machine learning approaches is tokenization where raw text is segmented into tokens. This study proposes an enhanced rule based tokenizer, ChemTok, which utilizes rules extracted mainly from the train data set. The main novelty of ChemTok is the use of the extracted rules in order to merge the tokens split in the previous steps, thus producing longer and more discriminative tokens. ChemTok is compared to the tokenization methods utilized by ChemSpot and tmChem. Support Vector Machines and Conditional Random Fields are employed as the learning algorithms. The experimental results show that the classifiers trained on the output of ChemTok outperforms all classifiers trained on the output of the other two tokenizers in terms of classification performance, and the number of incorrectly segmented entities. PMID:26942193

  3. Network analysis of named entity co-occurrences in written texts

    Science.gov (United States)

    Amancio, Diego Raphael

    2016-06-01

    The use of methods borrowed from statistics and physics to analyze written texts has allowed the discovery of unprecedent patterns of human behavior and cognition by establishing links between models features and language structure. While current models have been useful to unveil patterns via analysis of syntactical and semantical networks, only a few works have probed the relevance of investigating the structure arising from the relationship between relevant entities such as characters, locations and organizations. In this study, we represent entities appearing in the same context as a co-occurrence network, where links are established according to a null model based on random, shuffled texts. Computational simulations performed in novels revealed that the proposed model displays interesting topological features, such as the small world feature, characterized by high values of clustering coefficient. The effectiveness of our model was verified in a practical pattern recognition task in real networks. When compared with traditional word adjacency networks, our model displayed optimized results in identifying unknown references in texts. Because the proposed representation plays a complementary role in characterizing unstructured documents via topological analysis of named entities, we believe that it could be useful to improve the characterization of written texts (and related systems), specially if combined with traditional approaches based on statistical and deeper paradigms.

  4. Recognition and translation Arabic-French of Named Entities: case of the Sport places

    CERN Document Server

    Hamadou, Abdelmajid Ben; Fehri, Héla

    2010-01-01

    The recognition of Arabic Named Entities (NE) is a problem in different domains of Natural Language Processing (NLP) like automatic translation. Indeed, NE translation allows the access to multilingual information. This translation doesn't always lead to ex-pected result especially when NE contains a person name. For this reason and in order to ameliorate translation, we can transliterate some part of NE. In this context, we propose a method that integrates translation and transliteration together using the linguistic NooJ platform that is based on local grammars and transducers. In this paper, we focus on sport domain. We will firstly suggest a refinement of the typological model presented at the MUC-6 Conference. We will describe the integration of an Arabic transliteration module into translation system. Finally, we will detail our method and give the results of the evaluation.

  5. Mining heart disease risk factors in clinical text with named entity recognition and distributional semantic models.

    Science.gov (United States)

    Urbain, Jay

    2015-12-01

    We present the design, and analyze the performance of a multi-stage natural language processing system employing named entity recognition, Bayesian statistics, and rule logic to identify and characterize heart disease risk factor events in diabetic patients over time. The system was originally developed for the 2014 i2b2 Challenges in Natural Language in Clinical Data. The system's strengths included a high level of accuracy for identifying named entities associated with heart disease risk factor events. The system's primary weakness was due to inaccuracies when characterizing the attributes of some events. For example, determining the relative time of an event with respect to the record date, whether an event is attributable to the patient's history or the patient's family history, and differentiating between current and prior smoking status. We believe these inaccuracies were due in large part to the lack of an effective approach for integrating context into our event detection model. To address these inaccuracies, we explore the addition of a distributional semantic model for characterizing contextual evidence of heart disease risk factor events. Using this semantic model, we raise our initial 2014 i2b2 Challenges in Natural Language of Clinical data F1 score of 0.838 to 0.890 and increased precision by 10.3% without use of any lexicons that might bias our results.

  6. REDEN: Named Entity Linking in Digital Literary Editions Using Linked Data Sets

    Directory of Open Access Journals (Sweden)

    Carmen Brando

    2016-07-01

    Full Text Available This paper proposes a graph-based Named Entity Linking (NEL algorithm named REDEN for the disambiguation of authors’ names in French literary criticism texts and scientific essays from the 19th and early 20th centuries. The algorithm is described and evaluated according to the two phases of NEL as reported in current state of the art, namely, candidate retrieval and candidate selection. REDEN leverages knowledge from different Linked Data sources in order to select candidates for each author mention, subsequently crawls data from other Linked Data sets using equivalence links (e.g., owl:sameAs, and, finally, fuses graphs of homologous individuals into a non-redundant graph well-suited for graph centrality calculation; the resulting graph is used for choosing the best referent. The REDEN algorithm is distributed in open-source and follows current standards in digital editions (TEI and semantic Web (RDF. Its integration into an editorial workflow of digital editions in Digital humanities and cultural heritage projects is entirely plausible. Experiments are conducted along with the corresponding error analysis in order to test our approach and to help us to study the weaknesses and strengths of our algorithm, thereby to further improvements of REDEN.

  7. Enhanced Identifying Gene Names from Biomedical Literature with Conditional Random Fields

    Institute of Scientific and Technical Information of China (English)

    Wei-Zhong Qian; Chong Fu; Hong-Rong Cheng; Qiao Liu; Zhi-Guang Qin

    2009-01-01

    Identifying gene names is an attractive research area of biology computing. However, accurate extraction of gene names is a challenging task with the lack of conventions for describing gene names. We devise a systematical architecture and apply the model using conditional random fields (CRFs) for extracting gene names from Medline. In order to improve the performance, biomedical ontology features are inserted into the model and post processing including boundary adjusting and word filter is presented to solve name overlapping problem and remove false positive single words. Pure string match method, baseline CRFs, and CRFs with our methods are applied to human gene names and HIV gene names extraction respectively in 1100 abstracts of Medline and their performances are contrasted. Results show that CRFs are robust for unseen gene names. Furthermore, CRFs with our methods outperforms other methods with precision 0.818 and recall 0.812.

  8. Automatically building large-scale named entity recognition corpora from Chinese Wikipedia

    Institute of Scientific and Technical Information of China (English)

    Jie ZHOU; Bi-cheng LI; Gang CHEN

    2015-01-01

    Named entity recognition (NER) is a core component in many natural language processing applications. Most NER systems rely on supervised machine learning methods, which depend on time-consuming and expensive annotations in different languages and domains. This paper presents a method for automatically building silver-standard NER corpora from Chinese Wikipedia. We refine novel and language-dependent features by exploiting the text and structure of Chinese Wikipedia. To reduce tagging errors caused by entity classification, we design four types of heuristic rules based on the characteristics of Chinese Wikipedia and train a supervised NE classifier, and a combined method is used to improve the precision and coverage. Then, we realize type identification of implicit mention by using boundary information of outgoing links. By selecting the sentences related with the domains of test data, we can train better NER models. In the experiments, large-scale NER corpora containing 2.3 million sentences are built from Chinese Wikipedia. The results show the effectiveness of automatically annotated corpora, and the trained NER models achieve the best performance when combining our silver-standard corpora with gold-standard corpora.

  9. Chemical named entity recognition in patents by domain knowledge and unsupervised feature learning.

    Science.gov (United States)

    Zhang, Yaoyun; Xu, Jun; Chen, Hui; Wang, Jingqi; Wu, Yonghui; Prakasam, Manu; Xu, Hua

    2016-01-01

    Medicinal chemistry patents contain rich information about chemical compounds. Although much effort has been devoted to extracting chemical entities from scientific literature, limited numbers of patent mining systems are publically available, probably due to the lack of large manually annotated corpora. To accelerate the development of information extraction systems for medicinal chemistry patents, the 2015 BioCreative V challenge organized a track on Chemical and Drug Named Entity Recognition from patent text (CHEMDNER patents). This track included three individual subtasks: (i) Chemical Entity Mention Recognition in Patents (CEMP), (ii) Chemical Passage Detection (CPD) and (iii) Gene and Protein Related Object task (GPRO). We participated in the two subtasks of CEMP and CPD using machine learning-based systems. Our machine learning-based systems employed the algorithms of conditional random fields (CRF) and structured support vector machines (SSVMs), respectively. To improve the performance of the NER systems, two strategies were proposed for feature engineering: (i) domain knowledge features of dictionaries, chemical structural patterns and semantic type information present in the context of the candidate chemical and (ii) unsupervised feature learning algorithms to generate word representation features by Brown clustering and a novel binarized Word embedding to enhance the generalizability of the system. Further, the system output for the CPD task was yielded based on the patent titles and abstracts with chemicals recognized in the CEMP task.The effects of the proposed feature strategies on both the machine learning-based systems were investigated. Our best system achieved the second best performance among 21 participating teams in CEMP with a precision of 87.18%, a recall of 90.78% and aF-measure of 88.94% and was the top performing system among nine participating teams in CPD with a sensitivity of 98.60%, a specificity of 87.21%, an accuracy of 94.75%, a

  10. Chemical named entity recognition in patents by domain knowledge and unsupervised feature learning.

    Science.gov (United States)

    Zhang, Yaoyun; Xu, Jun; Chen, Hui; Wang, Jingqi; Wu, Yonghui; Prakasam, Manu; Xu, Hua

    2016-01-01

    Medicinal chemistry patents contain rich information about chemical compounds. Although much effort has been devoted to extracting chemical entities from scientific literature, limited numbers of patent mining systems are publically available, probably due to the lack of large manually annotated corpora. To accelerate the development of information extraction systems for medicinal chemistry patents, the 2015 BioCreative V challenge organized a track on Chemical and Drug Named Entity Recognition from patent text (CHEMDNER patents). This track included three individual subtasks: (i) Chemical Entity Mention Recognition in Patents (CEMP), (ii) Chemical Passage Detection (CPD) and (iii) Gene and Protein Related Object task (GPRO). We participated in the two subtasks of CEMP and CPD using machine learning-based systems. Our machine learning-based systems employed the algorithms of conditional random fields (CRF) and structured support vector machines (SSVMs), respectively. To improve the performance of the NER systems, two strategies were proposed for feature engineering: (i) domain knowledge features of dictionaries, chemical structural patterns and semantic type information present in the context of the candidate chemical and (ii) unsupervised feature learning algorithms to generate word representation features by Brown clustering and a novel binarized Word embedding to enhance the generalizability of the system. Further, the system output for the CPD task was yielded based on the patent titles and abstracts with chemicals recognized in the CEMP task.The effects of the proposed feature strategies on both the machine learning-based systems were investigated. Our best system achieved the second best performance among 21 participating teams in CEMP with a precision of 87.18%, a recall of 90.78% and aF-measure of 88.94% and was the top performing system among nine participating teams in CPD with a sensitivity of 98.60%, a specificity of 87.21%, an accuracy of 94.75%, a

  11. Adapting Web content for low-literacy readers by using lexical elaboration and named entities labeling

    Science.gov (United States)

    Watanabe, W. M.; Candido, A.; Amâncio, M. A.; De Oliveira, M.; Pardo, T. A. S.; Fortes, R. P. M.; Aluísio, S. M.

    2010-12-01

    This paper presents an approach for assisting low-literacy readers in accessing Web online information. The "Educational FACILITA" tool is a Web content adaptation tool that provides innovative features and follows more intuitive interaction models regarding accessibility concerns. Especially, we propose an interaction model and a Web application that explore the natural language processing tasks of lexical elaboration and named entity labeling for improving Web accessibility. We report on the results obtained from a pilot study on usability analysis carried out with low-literacy users. The preliminary results show that "Educational FACILITA" improves the comprehension of text elements, although the assistance mechanisms might also confuse users when word sense ambiguity is introduced, by gathering, for a complex word, a list of synonyms with multiple meanings. This fact evokes a future solution in which the correct sense for a complex word in a sentence is identified, solving this pervasive characteristic of natural languages. The pilot study also identified that experienced computer users find the tool to be more useful than novice computer users do.

  12. Life Sciences—Life Writing: PTSD as a Transdisciplinary Entity between Biomedical Explanation and Lived Experience

    Directory of Open Access Journals (Sweden)

    Norbert W. Paul

    2015-12-01

    Full Text Available Since the second half of the 20th century, the life sciences have become one of the dominant explanatory models for almost every aspect of human life. Hand in hand with biomedical developments and technologies, the life sciences are constantly shaping and reshaping human lives and changing human biographies in manifold ways. The orientation towards life sciences and biomedicine from the very beginning to the end of human life is driven by the utopian notion that all forms of contingency could be technologically and medically controlled. This paper addresses the interrelatedness of life sciences and human biographies in a field where contingency and risk become essential and existential parts of lived experience: post-traumatic stress disorder (PTSD. On the one hand, this diagnostic entity is related to (neuro-biological underpinnings of (a lack of psychic resilience as well as to those of contemporary pharmacotherapy. On the other hand, PTSD is also understood as based on a traumatic life event, which can be accessed through and addressed by talk therapy, particularly narrative exposure therapy (NET. We argue that a novel focus on concepts of narrativity will generate pathways for an interdisciplinary understanding of PTSD by linking biological underpinnings from neurobiological findings, to brain metabolism and pharmacotherapy via the interface of psychotherapy and the specific role of narratives to the lived experience of patients and vice versa. The goal of our study is to demonstrate why therapies such as psychotherapy or pharmacotherapy are successful in controlling the disease burden of PTSD to some extent, but the restitutio ad integrum, the reestablishing of the bodily and psychic integrity remains out of reach for most PTSD patients. As a test case, we discuss the complementary methods of Traditional Chinese Medicine (TCM and the established procedures of talk therapy (NET to show how a methodological focus on narratives enhanced by

  13. NERChem: adapting NERBio to chemical patents via full-token features and named entity feature with chemical sub-class composition

    Science.gov (United States)

    Tsai, Richard Tzong-Han; Hsiao, Yu-Cheng; Lai, Po-Ting

    2016-01-01

    Chemical patents contain detailed information on novel chemical compounds that is valuable to the chemical and pharmaceutical industries. In this paper, we introduce a system, NERChem that can recognize chemical named entity mentions in chemical patents. NERChem is based on the conditional random fields model (CRF). Our approach incorporates (1) class composition, which is used for combining chemical classes whose naming conventions are similar; (2) BioNE features, which are used for distinguishing chemical mentions from other biomedical NE mentions in the patents; and (3) full-token word features, which are used to resolve the tokenization granularity problem. We evaluated our approach on the BioCreative V CHEMDNER-patent corpus, and achieved an F-score of 87.17% in the Chemical Entity Mention in Patents (CEMP) task and a sensitivity of 98.58% in the Chemical Passage Detection (CPD) task, ranking alongside the top systems. Database URL: Our NERChem web-based system is publicly available at iisrserv.csie.n cu.edu.tw/nerchem.

  14. Person-specific named entity recognition using SVM with rich feature sets

    Institute of Scientific and Technical Information of China (English)

    Hui; NIE

    2012-01-01

    (F1value)for all types of name entities can achieve above 88.6%,which can meet the requirements for the practical application.

  15. "That thing in New York": Impaired naming vs. preserved recognition of unique entities following an anterior temporal lobe lesion

    Directory of Open Access Journals (Sweden)

    Daniel Roberts

    2014-04-01

    Full Text Available Background Anterior temporal lobe (aTL damage often results in semantic impairment. As such, the contribution of this region to semantic processing has received considerable attention. Two theories exist to explain aTL function based on conflicting neuropsychological investigations. The first proposes bilateral aTLs form a “hub” implicated in multimodal semantics (for review see: Jefferies, 2013. The second assumes distinct functions. The left is thought to function as a repertoire for knowledge of entities with unique lexical-conceptual associations (for review: Ross & Olson, 2012. These items represent an extreme end of a continuum of semantic specificity spanning unique (e.g., Eiffel Tower over less specific (e.g., tower to nonspecific (e.g., landmark – often denoted by famous faces, landmarks and proper names. LaTL function, therefore, is to link semantics to language systems for naming, whilst RaTL is involved in familiarity and recognition (e.g., Eiffel Tower -> a building in Paris; Drane et al., 2013. Evidence for each theory has proceeded in parallel but there has been no attempt to directly test them in a patient (Simmons & Martin, 2009. The novelty of this study, therefore, was to determine whether LaTL lesions disproportionately affect unique entity naming vs. recognition. Method WRP, a 51year old right-handed male, three year post-HSVE has a LaTL lesion with destruction of the temporal pole, extending to medial temporal, amygdala and hippocampus and atypical connectivity particularly involving the uncinate fasciculas. There is no evidence of either cortical or white matter damage in the right hemisphere. Previous work with WRP revealed a mild/moderate category-specific semantic deficit (Roberts et al., 2012. This new study focuses on unique entity picture naming, recognition and word-to-picture matching (WPM. Results & Discussion As predicted, results (Table 1 show that WRP was severely impaired in naming different categories

  16. 10 CFR 300.3 - Guidance for defining and naming the reporting entity.

    Science.gov (United States)

    2010-01-01

    ....3 Section 300.3 Energy DEPARTMENT OF ENERGY CLIMATE CHANGE VOLUNTARY GREENHOUSE GAS REPORTING... achieve this objective, DOE suggests the use of a corporate-level definition of the entity, based on... agency or departmental level, but distinct organizational units (such as a Department of the...

  17. Services for annotation of biomedical text

    OpenAIRE

    Hakenberg, Jörg

    2008-01-01

    Motivation: Text mining in the biomedical domain in recent years has focused on the development of tools for recognizing named entities and extracting relations. Such research resulted from the need for such tools as basic components for more advanced solutions. Named entity recognition, entity mention normalization, and relationship extraction now have reached a stage where they perform comparably to human annotators (considering inter--annotator agreement, measured in many studies to be aro...

  18. NOMINAL MARKING SYSTEM OF BAHASA MANGGARAI AND ITS INTERRELATION TO NAMING SYSTEM OF ENTITIES: A CULTURAL LINGUISTIC STUDY

    Directory of Open Access Journals (Sweden)

    Kletus Erom

    2012-11-01

    Full Text Available This study analyzes the cultural imagery of the Manggaraian SpeechCommunities (MSC in “Nominal Marking System (NMS of Bahasa Manggaraiand Its Interrelation with Naming Systems of Entity (NSE: A CulturalLinguistic Study”. The result of the analysis is useful for both the academic worldand the life of the society, especially the MSC.The study conducted in Manggarai Regency, Flores, East Nusa TenggaraProvince, is qualitative. The data were obtained through observation, elicitation,interview, documentation study, listening, and note taking. For this reason, a numberof questions were prepared in a written form. The data obtained were analyzedthrough steps of selection, listing, translation, and interpretation of the formallinguistic meaning and cultural imagery of the MSC. The result of the data analysisis informally reported and verbally described.To analyze the data, the Cultural Linguistic Theory was applied andsupported by the structural and the dynamic theories. To know the chance and toinspire the study, a number of previous studies were reviewed. To easily understand,direct, and limit the discussion of the study, a number of basic concepts weredefined.Syntactically and semantically, there are four kinds of nominal markers(NMs of BM. NMs in the forms of personal pronouns (PP: hau ‘you SG’, hia/hi‘he/she’, meu ‘you-PLUR’, and ise ‘they’ mark proper nouns (PN as theSubject/Agent or Object/Patient in a clause bearing the meaning of subject or objectposition of a clause and not common nouns (CN. NMs in the forms of de/ di/ disemark the noun (CN/pronoun or PN as the possessor of the possessed noun in aclause bearing the meaning of possession. NMs in the forms of le/ li/ lise mark thenoun (CN/pronoun or PN as the agent diathesis of an action targeted to a noun asthe patient diathesis in a clause bearing the meaning of addition or the target/localityof an action. And NMs in the forms of ge/ gi/ gise mark the noun (CN/pronoun or

  19. Playing God and the ethics of divine names: an Islamic paradigm for biomedical ethics.

    Science.gov (United States)

    Shahzad, Qaiser

    2007-10-01

    The notion of 'playing God' frequently comes to fore in discussions of bioethics, especially in religious contexts. The phrase has always been analyzed and discussed from Christian and secular standpoints. Two interpretations exist in the literature. The first one takes 'God' seriously and playing 'playfully'. It argues that this concept does state a principle but invokes a perspective on the world. The second takes both terms playfully. In the Islamic Intellectual tradition, the Sufi concept of 'adopting divine character traits' provides a legitimate paradigm for 'playing God'. This paradigm is interesting because here we take both terms 'God' and 'playing' seriously. It is significant for the development of biomedical ethics in contemporary Islamic societies as it can open new vistas for viewing biotechnological developments.

  20. Metonimy resolution for named entities: an hybrid approach Résolution de métonymie des entités nommées : proposition d'une méthode hybride

    OpenAIRE

    Caroline Brun; Maud Ehrmann; Guillaume Jacquet

    2010-01-01

    Named Entity metonymy resolution is a challenging natural langage processing task, which has been recently subject to a growing interest. In this paper, we describe the method we have developed in order to solve Named entity metonymy in the framework of the SemEval 2007 competition. In order to perform Named Entity metonymy resolution on location names and company names, as required for this task, we developed a hybrid system based on the use of a robust parser that extracts deep syntactic re...

  1. STUDY ON AUTOMATIC ACQUISITION OF NAMED ENTITY BASED ON MEMBERSHIP%基于隶属度的命名实体自动获取研究

    Institute of Scientific and Technical Information of China (English)

    邢富坤

    2012-01-01

    This article presents a new approach, which is named as membership calculation approach for Wikipedia class, by make use of Wikipedia and the named entity resources. This approach constructs through five steps such as matching, computation, filtering, expanding and dealing with noises the named entities instances set with higher quality and larger scale. We have made some experiments on English Wikipedia and the results show that the scale of the personal names instances automatically acquired based on membership approach is 10 times larger than the name instances extracted in DBpedia. By manual checking the extracted instances from different membership interval, we found the precision rate of top 15000 Wikipedia classes extracted is as high as 99% , which is good enough to support expanding the named entity instances.%利用维基百科(Wikipedia)和已有命名实体资源,提出维基百科类的隶属度计算方法,通过匹配、计算、过滤、扩展、去噪五个步骤构建出具有较高质量和较大规模的命名实体实例集.在英语维基百科数据上进行实验,结果显示,基于隶属度方法自动获取的人名实例规模较DBpedia抽取出的人名实例规模高出近10倍,通过对不同隶属度区间的抽取实例进行人工检验,发现抽取出的前15000个维基百科类的准确率达到99%左右,能够有效支持命名实体类实例的扩充.

  2. [Differences of concept and entity of xiao-named herb between Shennong's Herbal Classic and Song-edition Treatise on Febrile Disease and Golden Chamber].

    Science.gov (United States)

    Yang, Jin-Ping; Wang, Zhen-Guo; Lu, Xing

    2012-01-01

    There are significant differences of the XIAO-named herb between Shennong's Herbal Classic and the Song-edition Treatise on Febrile Disease and Synopsis of the Golden Chamber. The reasons are: (1) With the development of history, differentiation of herb category and effect kept changing from the Han Dynasty to the Song Dynasty, which led to the differences in concept and entity of herbs in different periods. (2) Lin Yi of the Song Dynasty may have redefined some herb's names according to the current situation when he revised Zhang Zhongjing's works. PMID:22613473

  3. Feature Engineering for Drug Name Recognition in Biomedical Texts: Feature Conjunction and Feature Selection

    Directory of Open Access Journals (Sweden)

    Shengyu Liu

    2015-01-01

    Full Text Available Drug name recognition (DNR is a critical step for drug information extraction. Machine learning-based methods have been widely used for DNR with various types of features such as part-of-speech, word shape, and dictionary feature. Features used in current machine learning-based methods are usually singleton features which may be due to explosive features and a large number of noisy features when singleton features are combined into conjunction features. However, singleton features that can only capture one linguistic characteristic of a word are not sufficient to describe the information for DNR when multiple characteristics should be considered. In this study, we explore feature conjunction and feature selection for DNR, which have never been reported. We intuitively select 8 types of singleton features and combine them into conjunction features in two ways. Then, Chi-square, mutual information, and information gain are used to mine effective features. Experimental results show that feature conjunction and feature selection can improve the performance of the DNR system with a moderate number of features and our DNR system significantly outperforms the best system in the DDIExtraction 2013 challenge.

  4. 基于本体的汉语领域命名实体识别%Recognition of Chinese Domain Named Entities Based on Ontology

    Institute of Scientific and Technical Information of China (English)

    史树敏; 冯冲; 黄河燕; 刘东升; 王树梅

    2009-01-01

    命名实体识别是众多自然语言处理任务的核心内容之一,也是近年来的领域研究热点.本文将命名实体分为两大类:常规命名实体和领域命名实体.基于已经构建的领域本体MPO,本文提出一种基于本体知识规则与统计方法相结合的领域命名实体识别方法.该方法通过本体化实例,获取实体构成词性规则模板,结合CRFs机器学习模型,进行领域命名实体识别.实验结果表明:相比运用单一统计方法而言,该方法能使领域实体的识别性能显著提高,F值达到92.36%.同时表明本体化知识规则的有效运用,能够在领域实体边界和特殊形式领域实体识别的准确率上发挥积极作用.%Named Entity Recognition ( NER) is one of kernel task in many Natural Language Processing ( NLP) applications,which has recently become the hot spot of research. Named Entities are classified into General Named Entities ( GNEs) and Domain Named Entities (DNEs) in this paper. We put forward a method of Chinese Domain Named Entity Recognition (DNER) which combining Conditional Random Field ( CRF) with the rule templates of POS based on formalized instances that acquired from domain ontology constructed already. Results of experiments indicate that such a method can improve effectively the performance on DNER and F-measure has reached 92.36 % . Experimental data also show that ontological knowledge can make great effect in recognizing the boundaries of DNEs and DNEs with special forms.

  5. Topic Modeling Approach to Named Entity Linking%一种基于概率主题模型的命名实体链接方法

    Institute of Scientific and Technical Information of China (English)

    怀宝兴; 宝腾飞; 祝恒书; 刘淇

    2014-01-01

    Named entity linking (NEL) is an advanced technology which links a given named entity to an unambiguous entity in the knowledge base, and thus plays an important role in a wide range of Internet services, such as online recommender systems and Web search engines. However, with the explosive increasing of online information and applications, traditional solutions of NEL are facing more and more challenges towards linking accuracy due to the large number of online entities. Moreover, the entities are usually associated with different semantic topics (e.g., the entity“Apple”could be either a fruit or a brand) whereas the latent topic distributions of words and entities in same documents should be similar. To address this issue, this paper proposes a novel topic modeling approach to named entity linking. Different from existing works, the new approach provides a comprehensive framework for NEL and can uncover the semantic relationship between documents and named entities. Specifically, it first builds a knowledge base of unambiguous entities with the help of Wikipedia. Then, it proposes a novel bipartite topic model to capture the latent topic distribution between entities and documents. Therefore, given a new named entity, the new approach can link it to the unambiguous entity in the knowledge base by calculating their semantic similarity with respect to latent topics. Finally, the paper conducts extensive experiments on a real-world data set to evaluate our approach for named entity linking. Experimental results clearly show that the proposed approach outperforms other state-of-the-art baselines with a significant margin.%命名实体链接(named entity linking,简称NEL)是把文档中给定的命名实体链接到知识库中一个无歧义实体的过程,包括同义实体的合并、歧义实体的消歧等。该技术可以提升在线推荐系统、互联网搜索引擎等实际应用的信息过滤能力。然而,实体数量的激增给实体消歧等带

  6. Product Named Entity Recognition Based on Ontology%基于本体的产品命名实体识别研究

    Institute of Scientific and Technical Information of China (English)

    罗芳; 熊前兴; 肖敏

    2011-01-01

    论述了近年来国内外在常规命名实体识别方面研究工作的进展状况,针对其中最为关键的产品命名实体识别技术,考虑到领域本体对产品命名实体识别的支持,提出了将本体特征融入到统计模型中,结合词性特征、上下文特征,以及本体特征的多特征模型进行产品命名实体识别实验,实验结果证明,该方法能有效地提高产品命名实体识别的性能.%In recent years,there are a lot of research achievements in the field of NER(name entity recognition) , while PNER (product named entity recognition) is just starting. With the rapid development of e - commerce,PNER becomes one of the key techniques of intelligent e - commerce. In the view of supporting domain ontology to PNER, a method of PNER was proposed, which combined CRF(conditional random field) model with domain ontology as a semantic feature besides word and part - of -speech features. Experiments were conducted to compare the two kinds of feature templates, and results indicate that the method can effectively improve the performance of PNER.

  7. Entity Ranking in Wikipedia

    CERN Document Server

    Vercoustre, Anne-Marie; Pehcevski, Jovan

    2007-01-01

    The traditional entity extraction problem lies in the ability of extracting named entities from plain text using natural language processing techniques and intensive training from large document collections. Examples of named entities include organisations, people, locations, or dates. There are many research activities involving named entities; we are interested in entity ranking in the field of information retrieval. In this paper, we describe our approach to identifying and ranking entities from the INEX Wikipedia document collection. Wikipedia offers a number of interesting features for entity identification and ranking that we first introduce. We then describe the principles and the architecture of our entity ranking system, and introduce our methodology for evaluation. Our preliminary results show that the use of categories and the link structure of Wikipedia, together with entity examples, can significantly improve retrieval effectiveness.

  8. Naming names

    Science.gov (United States)

    The tiny, 1.5-km wide moon that NASA's Galileo mission discovered and photographed around the asteroid Ida no longer has to go by the nondescript appellation of “it.” The International Astronomical Union (IAU) has formally bestowed the name of Dactyl on Ida's moon. Dactyl is derived from the Dactyli, a group of mythological beings who lived on Mount Ida, where the infant Zeus was hidden by the nymph Ida and protected by the Dactyli, according to some mythological accounts. The IAU, which is responsible for naming all solar system bodies, also approved names for the surface features on another asteroid called Gaspra, which was visited by Galileo in October of 1991. Gaspra was the first asteroid to be visited by a spacecraft.

  9. Integrating various resources for gene name normalization.

    Science.gov (United States)

    Hu, Yuncui; Li, Yanpeng; Lin, Hongfei; Yang, Zhihao; Cheng, Liangxi

    2012-01-01

    The recognition and normalization of gene mentions in biomedical literature are crucial steps in biomedical text mining. We present a system for extracting gene names from biomedical literature and normalizing them to gene identifiers in databases. The system consists of four major components: gene name recognition, entity mapping, disambiguation and filtering. The first component is a gene name recognizer based on dictionary matching and semi-supervised learning, which utilizes the co-occurrence information of a large amount of unlabeled MEDLINE abstracts to enhance feature representation of gene named entities. In the stage of entity mapping, we combine the strategies of exact match and approximate match to establish linkage between gene names in the context and the EntrezGene database. For the gene names that map to more than one database identifiers, we develop a disambiguation method based on semantic similarity derived from the Gene Ontology and MEDLINE abstracts. To remove the noise produced in the previous steps, we design a filtering method based on the confidence scores in the dictionary used for NER. The system is able to adjust the trade-off between precision and recall based on the result of filtering. It achieves an F-measure of 83% (precision: 82.5% recall: 83.5%) on BioCreative II Gene Normalization (GN) dataset, which is comparable to the current state-of-the-art. PMID:22984434

  10. Integrating various resources for gene name normalization.

    Directory of Open Access Journals (Sweden)

    Yuncui Hu

    Full Text Available The recognition and normalization of gene mentions in biomedical literature are crucial steps in biomedical text mining. We present a system for extracting gene names from biomedical literature and normalizing them to gene identifiers in databases. The system consists of four major components: gene name recognition, entity mapping, disambiguation and filtering. The first component is a gene name recognizer based on dictionary matching and semi-supervised learning, which utilizes the co-occurrence information of a large amount of unlabeled MEDLINE abstracts to enhance feature representation of gene named entities. In the stage of entity mapping, we combine the strategies of exact match and approximate match to establish linkage between gene names in the context and the EntrezGene database. For the gene names that map to more than one database identifiers, we develop a disambiguation method based on semantic similarity derived from the Gene Ontology and MEDLINE abstracts. To remove the noise produced in the previous steps, we design a filtering method based on the confidence scores in the dictionary used for NER. The system is able to adjust the trade-off between precision and recall based on the result of filtering. It achieves an F-measure of 83% (precision: 82.5% recall: 83.5% on BioCreative II Gene Normalization (GN dataset, which is comparable to the current state-of-the-art.

  11. TPX: Biomedical literature search made easy

    OpenAIRE

    Joseph, Thomas; Saipradeep, Vangala G; Raghavan, Ganesh Sekar Venkat; Srinivasan, Rajgopal; Rao, Aditya; Kotte, Sujatha; Sivadasan, Naveen

    2012-01-01

    TPX is a web-based PubMed search enhancement tool that enables faster article searching using analysis and exploration features. These features include identification of relevant biomedical concepts from search results with linkouts to source databases, concept based article categorization, concept assisted search and filtering, query refinement. A distinguishing feature here is the ability to add user-defined concept names and/or concept types for named entity recognition. The tool allows co...

  12. Biological Named Entity Recognition Based on Conditional Random Fields%基于条件随机域的生物命名实体识别

    Institute of Scientific and Technical Information of China (English)

    彭春艳; 张晖; 包玲玉; 陈昌平

    2009-01-01

    提出一种基于条件随机域模型的生物命名实体识别方法,结合单词构词特性以及距离依赖特性,在JNLPBA的GENIAV3.02数据上进行实验,测试结果表明,引入距离依赖后,系统的识别性能比只利用单特性的条件随机域方法提高2.54%,可获得较好的识别效果,提高了系统的识别效率.%A biological named entity recognition method based on Conditional Random Fields(CRF) is proposed, which combines the word characteristics and the distance between words. Experiments are carried out with GENIAV3.02 datasets given by JNLPBA. Experimental results show that, after introducing words distance characteristics, the proposed method can achieve a performance improvement of 2.54% compared to simple conditional random fields, therefore achieving a better recognition result and improve the efficiency of systems.

  13. Two Similarity Metrics for Medical Subject Headings (MeSH): An Aid to Biomedical Text Mining and Author Name Disambiguation.

    Science.gov (United States)

    Smalheiser, Neil R; Bonifield, Gary

    2016-01-01

    In the present paper, we have created and characterized several similarity metrics for relating any two Medical Subject Headings (MeSH terms) to each other. The article-based metric measures the tendency of two MeSH terms to appear in the MEDLINE record of the same article. The author-based metric measures the tendency of two MeSH terms to appear in the body of articles written by the same individual (using the 2009 Author-ity author name disambiguation dataset as a gold standard). The two metrics are only modestly correlated with each other (r = 0.50), indicating that they capture different aspects of term usage. The article-based metric provides a measure of semantic relatedness, and MeSH term pairs that co-occur more often than expected by chance may reflect relations between the two terms. In contrast, the author metric is indicative of how individuals practice science, and may have value for author name disambiguation and studies of scientific discovery. We have calculated article metrics for all MeSH terms appearing in at least 25 articles in MEDLINE (as of 2014) and author metrics for MeSH terms published as of 2009. The dataset is freely available for download and can be queried at http://arrowsmith.psych.uic.edu/arrowsmith_uic/mesh_pair_metrics.html. Handling editor: Elizabeth Workman, MLIS, PhD. PMID:27213780

  14. Two Similarity Metrics for Medical Subject Headings (MeSH): An Aid to Biomedical Text Mining and Author Name Disambiguation.

    Science.gov (United States)

    Smalheiser, Neil R; Bonifield, Gary

    2016-01-01

    In the present paper, we have created and characterized several similarity metrics for relating any two Medical Subject Headings (MeSH terms) to each other. The article-based metric measures the tendency of two MeSH terms to appear in the MEDLINE record of the same article. The author-based metric measures the tendency of two MeSH terms to appear in the body of articles written by the same individual (using the 2009 Author-ity author name disambiguation dataset as a gold standard). The two metrics are only modestly correlated with each other (r = 0.50), indicating that they capture different aspects of term usage. The article-based metric provides a measure of semantic relatedness, and MeSH term pairs that co-occur more often than expected by chance may reflect relations between the two terms. In contrast, the author metric is indicative of how individuals practice science, and may have value for author name disambiguation and studies of scientific discovery. We have calculated article metrics for all MeSH terms appearing in at least 25 articles in MEDLINE (as of 2014) and author metrics for MeSH terms published as of 2009. The dataset is freely available for download and can be queried at http://arrowsmith.psych.uic.edu/arrowsmith_uic/mesh_pair_metrics.html. Handling editor: Elizabeth Workman, MLIS, PhD.

  15. Chinese Micro-blog named entity linking based on multisource knowledge%基于多源知识的中文微博命名实体链接

    Institute of Scientific and Technical Information of China (English)

    昝红英; 吴泳钢; 贾玉祥; 牛桂玲

    2015-01-01

    命名实体在文本中是承载信息的重要单元,而微博作为一种分享简短实时信息的社交网络平台,其文本长度短、不规范,而且常有新词出现,这就需要对其命名实体进行准确的理解,以提高对文本信息的正确分析。提出了基于多源知识的中文微博命名实体链接,把同义词词典、百科资源等知识与词袋模型相结合实现命名实体的链接。在 NLP&CC2013中文微博实体链接评测数据集进行了实验,获得微平均准确率为92.97%,与 NLP&CC2013中文实体链接评测最好的评测结果相比,提高了两个百分点。%Named entity is an important component conveying information in texts.Micro-blog is a social network plat-form used to share brief real-time information,with characteristics such as short text length,nonstandard words,and even the frequent emergence of neologisms.So an accurate understanding of the named entities is needed to ensure a cor-rect analysis of the text information.A Chinese Micro-blog entity linking strategy was proposed based on multi-resource knowledge,combing the dictionary of synonyms,the encyclopedia resources as well as the bag-of-words model together to deal with named entity linking.In this strategy,named entities to be linked in Micro-blog were mapped to the corre-sponding candidate entities in the knowledge base.The evaluation results obtain a micro average accuracy of 92.97%, based on experiments using data sets of NLP&CC2013 Chinese micro-blog entity linking track.Compared with the state-of-the-art result,the accuracy of this method is two percent higher,which demonstrates the effectiveness of our method.

  16. Research on the Recognition of Chinese Named Entity Based on Rules and Statistics%基于规则和统计相结合的中文命名实体识别研究

    Institute of Scientific and Technical Information of China (English)

    潘正高

    2012-01-01

    介绍命名实体识别在文本信息处理领域的重要地位,分析了中文命名实体识别存在的困难,介绍中文命名实体识别的一般过程、评价标准及方法。提出了一种在构造内部规则和外部规则的同时采用概率统计的中文命名实体的识别方法,并利用这种基于规则和统计相结合的方法。实验证明该方法获得了较高的准确率和召回率,具有可行性和合理性,同时也指出了它的局限性。%This paper described the important position of named entity recognition in the field of text information processing, analyzed the problem of named entity recognition, described the general process, the evaluation criteria and the methods of Chinese named entity recognition. This article puts forward the recognition method of the Chinese named entity through constructing internal and external rules and adopting the statistic method. The experiments proved that this method gains higher precision and recall and has the feasibility and rationality through recognizing and testing the datum. At the same time, the limitation of this method was analvzed.

  17. Chinese named entity recognition in 3D mobile phone animation auto-generation%面向手机3D动画自动生成的中文命名实体识别

    Institute of Scientific and Technical Information of China (English)

    裴艳霞; 刘椿年

    2012-01-01

    基于人工智能技术,陆汝钤院士提出了全过程计算机辅助动画自动生成技术.该技术需要对能在动画中具体表现的特殊类型命名实体进行识别,如学校名称、餐馆名称、商场名称等.提出了一种基于隐马尔科夫模型(HMM)和规则相结合的特殊类型命名实体识别方法,利用词性、特征词和词义等信息对HMM模型进行训练,并用自动提取的规则对统计模型的识别结果进行补充和修正.开放性测试实验的最高准确率、召回率和F值分别达到了79.89%、86.6%、83.11%.%Academician Lu Ruqian proposed Full Cycle Computer Aided Animation Auto-generation Technology based on artificial intelligence technology. The technology needs to recognize special types of named entities such as school names, restaurant names and emporium names, which can be performed in animation. A method for recognizing special types of named entities is proposed based on the Hidden Markov Model (HMM) and rules. The method uses HMM and trains the model with part-of-speech information, feature words and the sense of words, then complements and corrects the recognition results of HMM with rules automatically extracted from the training corpus and entity names. The accuracy, recall and F-score of the open testing experiment reaches 79.89%, 86.6% and 83.11%.

  18. Use of controlled vocabularies to improve biomedical information retrieval tasks.

    Science.gov (United States)

    Pasche, Emilie; Gobeill, Julien; Vishnyakova, Dina; Ruch, Patrick; Lovis, Christian

    2013-01-01

    The high heterogeneity of biomedical vocabulary is a major obstacle for information retrieval in large biomedical collections. Therefore, using biomedical controlled vocabularies is crucial for managing these contents. We investigate the impact of query expansion based on controlled vocabularies to improve the effectiveness of two search engines. Our strategy relies on the enrichment of users' queries with additional terms, directly derived from such vocabularies applied to infectious diseases and chemical patents. We observed that query expansion based on pathogen names resulted in improvements of the top-precision of our first search engine, while the normalization of diseases degraded the top-precision. The expansion of chemical entities, which was performed on the second search engine, positively affected the mean average precision. We have shown that query expansion of some types of biomedical entities has a great potential to improve search effectiveness; therefore a fine-tuning of query expansion strategies could help improving the performances of search engines.

  19. Moving Hands, Moving Entities

    Science.gov (United States)

    Setti, Annalisa; Borghi, Anna M.; Tessari, Alessia

    2009-01-01

    In this study we investigated with a priming paradigm whether uni and bimanual actions presented as primes differently affected language processing. Animals' (self-moving entities) and plants' (not self-moving entities) names were used as targets. As prime we used grasping hands, presented both as static images and videos. The results showed an…

  20. Using Local Grammar for Entity Extraction from Clinical Reports

    Directory of Open Access Journals (Sweden)

    Aicha Ghoulam

    2015-06-01

    Full Text Available Information Extraction (IE is a natural language processing (NLP task whose aim is to analyze texts written in natural language to extract structured and useful information such as named entities and semantic relations linking these entities. Information extraction is an important task for many applications such as bio-medical literature mining, customer care, community websites, and personal information management. The increasing information available in patient clinical reports is difficult to access. As it is often in an unstructured text form, doctors need tools to enable them access to this information and the ability to search it. Hence, a system for extracting this information in a structured form can benefits healthcare professionals. The work presented in this paper uses a local grammar approach to extract medical named entities from French patient clinical reports. Experimental results show that the proposed approach achieved an F-Measure of 90. 06%.

  1. 基于条件随机场的英文农产品名识别%Named Entity Recognition of the Agricultural Product in English Based on Conditional Random Fields

    Institute of Scientific and Technical Information of China (English)

    方莹

    2011-01-01

    Recently,as the scarce research of named entity recognition of the products in English in the world,this paper proposes a method for the named entity recognition of the agricultural products in English based on the conditional random fields model. In the conditional random field, this paper adopts word as the grain processing unit,uses the context information and especial cue information of English product names as the features of recognition,and adopts the artificially constructed dictionary to build the model. A good result has been obtained by the experiment.%英文农产品命名实体识别目前国内外研究得较少,提出了一种基于条件随机场模型(CRF)的英文农产品命名实体识别方法.在条件随机场中,该方法以词作为切分粒度,充分利用上下文和英文农产品名特有的指示信息作为分类特征进行建模.实验表明,该方法获得了较好的结果.

  2. Immunoglobulin heavy variable (IGHV) genes and alleles: new entities, new names and implications for research and prognostication in chronic lymphocytic leukaemia.

    Science.gov (United States)

    Xochelli, Aliki; Agathangelidis, Andreas; Kavakiotis, Ioannis; Minga, Evangelia; Sutton, Lesley Ann; Baliakas, Panagiotis; Chouvarda, Ioanna; Giudicelli, Véronique; Vlahavas, Ioannis; Maglaveras, Nikos; Bonello, Lisa; Trentin, Livio; Tedeschi, Alessandra; Panagiotidis, Panagiotis; Geisler, Christian; Langerak, Anton W; Pospisilova, Sarka; Jelinek, Diane F; Oscier, David; Chiorazzi, Nicholas; Darzentas, Nikos; Davi, Fred; Ghia, Paolo; Rosenquist, Richard; Hadzidimitriou, Anastasia; Belessi, Chrysoula; Lefranc, Marie-Paule; Stamatopoulos, Kostas

    2015-01-01

    Νext generation sequencing studies in Homo sapiens have identified novel immunoglobulin heavy variable (IGHV) genes and alleles necessitating changes in the international ImMunoGeneTics information system (IMGT) GENE-DB and reference directories of IMGT/V-QUEST. In chronic lymphocytic leukaemia (CLL), the somatic hypermutation (SHM) status of the clonotypic rearranged IGHV gene is strongly associated with patient outcome. Correct determination of this parameter strictly depends on the comparison of the nucleotide sequence of the clonotypic rearranged IGHV gene with that of the closest germline counterpart. Consequently, changes in the reference directories could, in principle, affect the correct interpretation of the IGHV mutational status in CLL. To this end, we analyzed 8066 productive IG heavy chain (IGH) rearrangement sequences from our consortium both before and after the latest update of the IMGT/V-QUEST reference directory. Differences were identified in 405 cases (5 % of the cohort). In 291/405 sequences (71.9 %), changes concerned only the IGHV gene or allele name, whereas a change in the percent germline identity (%GI) was noted in 114/405 (28.1 %) sequences; in 50/114 (43.8 %) sequences, changes in the %GI led to a change in the mutational set. In conclusion, recent changes in the IMGT reference directories affected the interpretation of SHM in a sizeable number of IGH rearrangement sequences from CLL patients. This indicates that both physicians and researchers should consider a re-evaluation of IG sequence data, especially for those IGH rearrangement sequences that, up to date, have a GI close to 98 %, where caution is warranted.

  3. Basic Grammar Rule and Maximum Entropy Based Hybrid Model for Named Entity Recognition%简约语法规则和最大熵模型相结合的混合实体识别

    Institute of Scientific and Technical Information of China (English)

    陆铭; 康雨洁; 俞能海

    2012-01-01

    Recent years have witnessed the explosion of the World Wide Web. The massive unstructured data from WWW requires information extraction technology to relief the information overload. As a key technology of information extraction, named entity recognition attracts many research interests these years. Existing named entity recognition algorithms can be categorized into statistical methods, rule based methods and their combinations. However these methods either fail to consider the global information or lack of efficiency due to the statistical model. This paper proposed a hybrid named entity recognition system, which combines basic grammar rule model and maximum entropy model. The recognition system first recognize the named entity with basic grammar rules model, which consumes less time than complex grammar rule model, and then use partial matching to enhance the recall of basic grammar rule model. After partial matching, the result generated by grammar rules is refined with the maximum entropy model to get the final recognition result. Experiments on MUC-7 dataset show that our method can achieve 94% precision, 91% recall and 92. 48% F measure, which is a large improvement compared to existing systems.%现有的命名实体识别算法多半采用统计与规则相结合的办法,但是这些方法有的没有考虑全局信息,有的没有解决好统计模型的时间复杂性问题.提出一个简约语法规则和最大熵模型相结合的混合命名实体识别方法,该方法采用简约语法规则与最大熵模型级联,首先使用简约语法规则模型进行识别,降低了使用复杂语法规则的时间复杂度,并把它的输出进行部分匹配,很好的弥补了由于简约语法规则带来的召回率偏低的问题,然后将得到的中间结果作为输入传递给最大熵模型,再由最大熵模型进行识别,得到最终的识别结果.实验结果表明,在MUC-7的命名实体识别评测中,系统的准确率、

  4. Automated recognition of malignancy mentions in biomedical literature

    Directory of Open Access Journals (Sweden)

    Liberman Mark Y

    2006-11-01

    Full Text Available Abstract Background The rapid proliferation of biomedical text makes it increasingly difficult for researchers to identify, synthesize, and utilize developed knowledge in their fields of interest. Automated information extraction procedures can assist in the acquisition and management of this knowledge. Previous efforts in biomedical text mining have focused primarily upon named entity recognition of well-defined molecular objects such as genes, but less work has been performed to identify disease-related objects and concepts. Furthermore, promise has been tempered by an inability to efficiently scale approaches in ways that minimize manual efforts and still perform with high accuracy. Here, we have applied a machine-learning approach previously successful for identifying molecular entities to a disease concept to determine if the underlying probabilistic model effectively generalizes to unrelated concepts with minimal manual intervention for model retraining. Results We developed a named entity recognizer (MTag, an entity tagger for recognizing clinical descriptions of malignancy presented in text. The application uses the machine-learning technique Conditional Random Fields with additional domain-specific features. MTag was tested with 1,010 training and 432 evaluation documents pertaining to cancer genomics. Overall, our experiments resulted in 0.85 precision, 0.83 recall, and 0.84 F-measure on the evaluation set. Compared with a baseline system using string matching of text with a neoplasm term list, MTag performed with a much higher recall rate (92.1% vs. 42.1% recall and demonstrated the ability to learn new patterns. Application of MTag to all MEDLINE abstracts yielded the identification of 580,002 unique and 9,153,340 overall mentions of malignancy. Significantly, addition of an extensive lexicon of malignancy mentions as a feature set for extraction had minimal impact in performance. Conclusion Together, these results suggest that the

  5. Study on Chinese Named Entity Categorization based on Deep Belief Nets%基于 Deep Belief Nets 方法的中文名实体分类研究

    Institute of Scientific and Technical Information of China (English)

    陈宇; 郑德权; 赵铁军

    2014-01-01

    DBN is a classification of fast and global optimum neural network .It contains several layers of unsupervised net-works and one layer of supervised network .The paper approves this novelty machine learning approach is suitable to the do -main of named entity categorization .The paper applies RBM ,an unsupervised learning method , to reconstruct more repre-sentative features from character-based features .Subsequently , the paper utilizes BP , a supervised learning method , to fine-tune parameters in whole network and accomplish the categorization task .In the end, the paper tests DBN on ACE 04 Chinese corpus and achieve 91.45%precision, which is much better than Support Vector Machine and Back-propagation neural network .%DBN是一种快速全局最优的神经网络分类方法,包含数层无监督学习网络和一层有监督学习网络。本文验证了DBN方法很好地适用于中文名实体分类任务。首先,采用多层RBM方法无监督地从字特征向量提取结构信息,得到更具有表征能力的特征;然后,利用BP方法微调网络参数并对提取后的特征向量进行分类,以此构成分类器进行名实体分类。通过对 ACE 04的中文名实体进行的分类测试,准确率达到91.45%,明显高于支持向量机和反向传播神经网络等传统分类算法。

  6. Quantifying the impact and extent of undocumented biomedical synonymy.

    Directory of Open Access Journals (Sweden)

    David R Blair

    2014-09-01

    Full Text Available Synonymous relationships among biomedical terms are extensively annotated within specialized terminologies, implying that synonymy is important for practical computational applications within this field. It remains unclear, however, whether text mining actually benefits from documented synonymy and whether existing biomedical thesauri provide adequate coverage of these linguistic relationships. In this study, we examine the impact and extent of undocumented synonymy within a very large compendium of biomedical thesauri. First, we demonstrate that missing synonymy has a significant negative impact on named entity normalization, an important problem within the field of biomedical text mining. To estimate the amount synonymy currently missing from thesauri, we develop a probabilistic model for the construction of synonym terminologies that is capable of handling a wide range of potential biases, and we evaluate its performance using the broader domain of near-synonymy among general English words. Our model predicts that over 90% of these relationships are currently undocumented, a result that we support experimentally through "crowd-sourcing." Finally, we apply our model to biomedical terminologies and predict that they are missing the vast majority (>90% of the synonymous relationships they intend to document. Overall, our results expose the dramatic incompleteness of current biomedical thesauri and suggest the need for "next-generation," high-coverage lexical terminologies.

  7. A stacked sequential learning method for investigator name recognition from web-based medical articles

    Science.gov (United States)

    Zhang, Xiaoli; Zou, Jie; Le, Daniel X.; Thoma, George

    2010-01-01

    "Investigator Names" is a newly required field in MEDLINE citations. It consists of personal names listed as members of corporate organizations in an article. Extracting investigator names automatically is necessary because of the increasing volume of articles reporting collaborative biomedical research in which a large number of investigators participate. In this paper, we present an SVM-based stacked sequential learning method in a novel application - recognizing named entities such as the first and last names of investigators from online medical journal articles. Stacked sequential learning is a meta-learning algorithm which can boost any base learner. It exploits contextual information by adding the predicted labels of the surrounding tokens as features. We apply this method to tag words in text paragraphs containing investigator names, and demonstrate that stacked sequential learning improves the performance of a nonsequential base learner such as an SVM classifier.

  8. Information Retrieval Systems Adapted to the Biomedical Domain

    CERN Document Server

    Marrero, Mónica; Urbano, Julián; Morato, Jorge; Moreiro, José-Antonio; 10.3145/epi.2010.may.04

    2012-01-01

    The terminology used in Biomedicine shows lexical peculiarities that have required the elaboration of terminological resources and information retrieval systems with specific functionalities. The main characteristics are the high rates of synonymy and homonymy, due to phenomena such as the proliferation of polysemic acronyms and their interaction with common language. Information retrieval systems in the biomedical domain use techniques oriented to the treatment of these lexical peculiarities. In this paper we review some of the techniques used in this domain, such as the application of Natural Language Processing (BioNLP), the incorporation of lexical-semantic resources, and the application of Named Entity Recognition (BioNER). Finally, we present the evaluation methods adopted to assess the suitability of these techniques for retrieving biomedical resources.

  9. Geographic Names

    Data.gov (United States)

    Minnesota Department of Natural Resources — The Geographic Names Information System (GNIS), developed by the United States Geological Survey in cooperation with the U.S. Board of Geographic Names, provides...

  10. Tracking topological entity changes in 3D collaborative modeling systems

    Institute of Scientific and Technical Information of China (English)

    ChengYuan; He Fazhi; HuangZhiyong; Cai Xiantao; and Zhang Dejun

    2012-01-01

    One of the key problems in collaborative geometric modeling systems is topological entity correspondence when topolog- ical structure of geometry models on collaborative sites changes, ha this article, we propose a solution for tracking topological entity alterations in 3D collaborative modeling environment. We firstly make a thorough analysis and detailed categorization on the altera- tion properties and causations for each type of topological entity, namely topological face and topological edge. Based on collabora- tive topological entity naming mechanism, a data structure called TEST (Topological Entity Structure Tree) is introduced to track the changing history and current state of each topological entity, to embody the relationship among topological entities. Rules and algo- rithms are presented for identification of topological entities referenced by operations for correct execution and model consistency. The algorithm has been verified within the prototype we have implemented with ACIS.

  11. Color Names

    OpenAIRE

    Benavente, Robert; Van De Weijer, Joost; Vanrell, Maria; Schmid, Cordelia; Baldrich, Ramon; Verbeek, Jakob; Larlus, Diane

    2012-01-01

    International audience Within a computer vision context color naming is the action of assigning linguistic color labels to pixels, regions or objects in images. Humans use color names routinely and seemingly without effort to describe the world around us. They have been primarily studied in the fields of visual psychology, anthropology and linguistics [17]. Color names are for example used in the context of image retrieval. A user might query an image search engine for "red cars". The syste...

  12. Text mining patents for biomedical knowledge.

    Science.gov (United States)

    Rodriguez-Esteban, Raul; Bundschus, Markus

    2016-06-01

    Biomedical text mining of scientific knowledge bases, such as Medline, has received much attention in recent years. Given that text mining is able to automatically extract biomedical facts that revolve around entities such as genes, proteins, and drugs, from unstructured text sources, it is seen as a major enabler to foster biomedical research and drug discovery. In contrast to the biomedical literature, research into the mining of biomedical patents has not reached the same level of maturity. Here, we review existing work and highlight the associated technical challenges that emerge from automatically extracting facts from patents. We conclude by outlining potential future directions in this domain that could help drive biomedical research and drug discovery.

  13. Text mining patents for biomedical knowledge.

    Science.gov (United States)

    Rodriguez-Esteban, Raul; Bundschus, Markus

    2016-06-01

    Biomedical text mining of scientific knowledge bases, such as Medline, has received much attention in recent years. Given that text mining is able to automatically extract biomedical facts that revolve around entities such as genes, proteins, and drugs, from unstructured text sources, it is seen as a major enabler to foster biomedical research and drug discovery. In contrast to the biomedical literature, research into the mining of biomedical patents has not reached the same level of maturity. Here, we review existing work and highlight the associated technical challenges that emerge from automatically extracting facts from patents. We conclude by outlining potential future directions in this domain that could help drive biomedical research and drug discovery. PMID:27179985

  14. PKDE4J: Entity and relation extraction for public knowledge discovery.

    Science.gov (United States)

    Song, Min; Kim, Won Chul; Lee, Dahee; Heo, Go Eun; Kang, Keun Young

    2015-10-01

    Due to an enormous number of scientific publications that cannot be handled manually, there is a rising interest in text-mining techniques for automated information extraction, especially in the biomedical field. Such techniques provide effective means of information search, knowledge discovery, and hypothesis generation. Most previous studies have primarily focused on the design and performance improvement of either named entity recognition or relation extraction. In this paper, we present PKDE4J, a comprehensive text-mining system that integrates dictionary-based entity extraction and rule-based relation extraction in a highly flexible and extensible framework. Starting with the Stanford CoreNLP, we developed the system to cope with multiple types of entities and relations. The system also has fairly good performance in terms of accuracy as well as the ability to configure text-processing components. We demonstrate its competitive performance by evaluating it on many corpora and found that it surpasses existing systems with average F-measures of 85% for entity extraction and 81% for relation extraction.

  15. Biomedical photonics handbook biomedical diagnostics

    CERN Document Server

    Vo-Dinh, Tuan

    2014-01-01

    Shaped by Quantum Theory, Technology, and the Genomics RevolutionThe integration of photonics, electronics, biomaterials, and nanotechnology holds great promise for the future of medicine. This topic has recently experienced an explosive growth due to the noninvasive or minimally invasive nature and the cost-effectiveness of photonic modalities in medical diagnostics and therapy. The second edition of the Biomedical Photonics Handbook presents fundamental developments as well as important applications of biomedical photonics of interest to scientists, engineers, manufacturers, teachers, studen

  16. 76 FR 53690 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

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    2011-08-29

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    2013-12-18

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    2012-08-21

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  1. 77 FR 71605 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meetings

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    2012-12-03

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    2013-05-28

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    2010-06-23

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    2010-10-06

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    2013-08-02

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    2012-09-19

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    2012-12-17

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    2010-07-09

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    2013-11-12

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  1. 76 FR 76744 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

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    2011-12-08

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    2011-07-12

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    2013-11-12

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    2012-08-24

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    2012-09-05

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    2010-05-07

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    2013-06-11

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    2012-09-05

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    2012-05-11

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    2013-07-26

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  18. Programming Drupal 7 entities

    CERN Document Server

    Michael, Sammy

    2013-01-01

    The book follows a standard tutorial-based approach to create, retrieve, update, and delete Drupal 7 entities, their properties and fields.Programming Drupal 7 Entities is perfect for intermediate or advanced developers new to Drupal entity development who are looking to get a good grounding in how to code using the new paradigm. It's assumed that you will have some experience in PHP development already, and being vaguely familiar with Drupal, GIT, and Drush will also help.

  19. Enhancing interoperability in the GFZ ISDC ontology by embedding SKOS transformed NASA's GCMD keywords for describing and connecting entities and VIAF authority data for referencing personal and corporate names

    Science.gov (United States)

    Ritschel, B.; Neher, G.

    2011-12-01

    ISDC ontology integrated GCMD's controlled science and services keywords. In order to benefit from the hierarchical structure of GCDM's keywords, NASA's original files have been transformed into appropriate multi-language capable SKOS ontologies and afterwards integrated into the ISDC ontology. Now, existing information retrieval use cases can be extended using the SKOS vocabulary, such as e.g. broader, narrower or prefLabel. The problem of the global identification of persons and institutions within the ISDC ontology could be solved by the integration of authority data. From viaf.org provided URIs for personal and corporate names have been integrated as steady pillars into the ISDC ontology. Now persons and institutions can be unambiguously identified and further relations to publications or other information in the Web can be established. The successful educational and research activities combining geoscientists and information scientists will be extended into the areas of Open linked data and re-use of existing ontologies and controlled vocabularies.

  20. Biomedical Engineering

    CERN Document Server

    Suh, Sang C; Tanik, Murat M

    2011-01-01

    Biomedical Engineering: Health Care Systems, Technology and Techniques is an edited volume with contributions from world experts. It provides readers with unique contributions related to current research and future healthcare systems. Practitioners and researchers focused on computer science, bioinformatics, engineering and medicine will find this book a valuable reference.

  1. A Fast Intersecting Feature Check and Detection Approach Based on Persistently Naming Geometric Entities and Its Application%一种基于特征几何元素永久命名的快速相交特征检查与判别方法及其应用

    Institute of Scientific and Technical Information of China (English)

    陈正鸣; 高曙明; 彭群生

    2001-01-01

    相交特征的检查与判别是特征造型领域的一个重要问题,通常的方法是通过在特征体间作布尔运算进行相交特征的检查与判别,但这种方法存在复杂、耗时的缺点.为避免大量的求交运算,提高相交特征检查与判别的效率,文中提出了一种新的相交特征的检查与判别方法,该方法以一系列的面标号查找代替了特征体之间的求交运算,从而有效地提高了相交特征的检查速度.%Intersecting feature check and detection is a basic problem in feature-based CAD/CAM system. The usual approach checks whether two features are intersecting by performing Boolean operation between feature volumes. In order to avoid using very time-consuming Boolean operations, a new approach based on persistently naming mechanism of geometric entities is proposed. The approach is of high efficiency because it replaces Boolean operation by just checking names of features' faces.

  2. Geographic name

    Directory of Open Access Journals (Sweden)

    Branimir Vukosav

    2011-12-01

    Full Text Available In the Croatian language, the word "zagora" or "zagorje" refers to an area "on the other side of a mountain or a hill". Throughout history, this term has been widely used to describe places physically detached from some other, economically or politically more prominent areas; and has thus been adopted as a geographic name (toponym for places which were "in contrast" to such areas and separated from them by an element of terrain. The term zagora is therefore a geographic name which denotes an area observed from an outside point of view, and which is later on accepted by the domicile population, becoming an endonym. In the context of the Croatian national territory, the most prominent usage of this toponym has been present in specific traditional regions in northern and southern Croatia; namely, Hrvatsko zagorje in northern Croatia, and a rather undefined area in the Dalmatian hinterland in southern Croatia. The extent and the degree of identification of the areas in southern Croatia bearing that particular geographic name have not been precisely defined, although there are many obvious indications of the existence of such a region in many contemporary sources. The aim of this paper is to research the perceptual character of an area in the Dalmatian hinterland in relation to geographic names Zagora and Dalmatinska zagora by means of content analysis. The final conclusions are drawn on the basis of informal geographic data retrieval from a chosen contemporary medium source (Slobodna Dalmacija newspaper. The observed extent of perception provides provisional maps which serve as approximations of collective cognitive maps and represents a starting point for a more extensive research on vernacular aspects of the Dalmatian hinterland.

  3. The Ontology for Biomedical Investigations

    Science.gov (United States)

    Bandrowski, Anita; Brinkman, Ryan; Brochhausen, Mathias; Brush, Matthew H.; Chibucos, Marcus C.; Clancy, Kevin; Courtot, Mélanie; Derom, Dirk; Dumontier, Michel; Fan, Liju; Fostel, Jennifer; Fragoso, Gilberto; Gibson, Frank; Gonzalez-Beltran, Alejandra; Haendel, Melissa A.; He, Yongqun; Heiskanen, Mervi; Hernandez-Boussard, Tina; Jensen, Mark; Lin, Yu; Lister, Allyson L.; Lord, Phillip; Malone, James; Manduchi, Elisabetta; McGee, Monnie; Morrison, Norman; Overton, James A.; Parkinson, Helen; Peters, Bjoern; Rocca-Serra, Philippe; Ruttenberg, Alan; Sansone, Susanna-Assunta; Scheuermann, Richard H.; Schober, Daniel; Smith, Barry; Soldatova, Larisa N.; Stoeckert, Christian J.; Taylor, Chris F.; Torniai, Carlo; Turner, Jessica A.; Vita, Randi; Whetzel, Patricia L.; Zheng, Jie

    2016-01-01

    The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI re-uses ontologies that provide a representation of biomedical knowledge from the Open Biological and Biomedical Ontologies (OBO) project and adds the ability to describe how this knowledge was derived. We here describe the state of OBI and several applications that are using it, such as adding semantic expressivity to existing databases, building data entry forms, and enabling interoperability between knowledge resources. OBI covers all phases of the investigation process, such as planning, execution and reporting. It represents information and material entities that participate in these processes, as well as roles and functions. Prior to OBI, it was not possible to use a single internally consistent resource that could be applied to multiple types of experiments for these applications. OBI has made this possible by creating terms for entities involved in biological and medical investigations and by importing parts of other biomedical ontologies such as GO, Chemical Entities of Biological Interest (ChEBI) and Phenotype Attribute and Trait Ontology (PATO) without altering their meaning. OBI is being used in a wide range of projects covering genomics, multi-omics, immunology, and catalogs of services. OBI has also spawned other ontologies (Information Artifact Ontology) and methods for importing parts of ontologies (Minimum information to reference an external ontology term (MIREOT)). The OBI project is an open cross-disciplinary collaborative effort, encompassing multiple research communities from around the globe. To date, OBI has created 2366 classes and 40 relations along with textual and formal definitions. The OBI Consortium maintains a web resource (http://obi-ontology.org) providing details on the people, policies, and issues being addressed

  4. The Ontology for Biomedical Investigations.

    Science.gov (United States)

    Bandrowski, Anita; Brinkman, Ryan; Brochhausen, Mathias; Brush, Matthew H; Bug, Bill; Chibucos, Marcus C; Clancy, Kevin; Courtot, Mélanie; Derom, Dirk; Dumontier, Michel; Fan, Liju; Fostel, Jennifer; Fragoso, Gilberto; Gibson, Frank; Gonzalez-Beltran, Alejandra; Haendel, Melissa A; He, Yongqun; Heiskanen, Mervi; Hernandez-Boussard, Tina; Jensen, Mark; Lin, Yu; Lister, Allyson L; Lord, Phillip; Malone, James; Manduchi, Elisabetta; McGee, Monnie; Morrison, Norman; Overton, James A; Parkinson, Helen; Peters, Bjoern; Rocca-Serra, Philippe; Ruttenberg, Alan; Sansone, Susanna-Assunta; Scheuermann, Richard H; Schober, Daniel; Smith, Barry; Soldatova, Larisa N; Stoeckert, Christian J; Taylor, Chris F; Torniai, Carlo; Turner, Jessica A; Vita, Randi; Whetzel, Patricia L; Zheng, Jie

    2016-01-01

    The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI re-uses ontologies that provide a representation of biomedical knowledge from the Open Biological and Biomedical Ontologies (OBO) project and adds the ability to describe how this knowledge was derived. We here describe the state of OBI and several applications that are using it, such as adding semantic expressivity to existing databases, building data entry forms, and enabling interoperability between knowledge resources. OBI covers all phases of the investigation process, such as planning, execution and reporting. It represents information and material entities that participate in these processes, as well as roles and functions. Prior to OBI, it was not possible to use a single internally consistent resource that could be applied to multiple types of experiments for these applications. OBI has made this possible by creating terms for entities involved in biological and medical investigations and by importing parts of other biomedical ontologies such as GO, Chemical Entities of Biological Interest (ChEBI) and Phenotype Attribute and Trait Ontology (PATO) without altering their meaning. OBI is being used in a wide range of projects covering genomics, multi-omics, immunology, and catalogs of services. OBI has also spawned other ontologies (Information Artifact Ontology) and methods for importing parts of ontologies (Minimum information to reference an external ontology term (MIREOT)). The OBI project is an open cross-disciplinary collaborative effort, encompassing multiple research communities from around the globe. To date, OBI has created 2366 classes and 40 relations along with textual and formal definitions. The OBI Consortium maintains a web resource (http://obi-ontology.org) providing details on the people, policies, and issues being addressed

  5. The Ontology for Biomedical Investigations.

    Science.gov (United States)

    Bandrowski, Anita; Brinkman, Ryan; Brochhausen, Mathias; Brush, Matthew H; Bug, Bill; Chibucos, Marcus C; Clancy, Kevin; Courtot, Mélanie; Derom, Dirk; Dumontier, Michel; Fan, Liju; Fostel, Jennifer; Fragoso, Gilberto; Gibson, Frank; Gonzalez-Beltran, Alejandra; Haendel, Melissa A; He, Yongqun; Heiskanen, Mervi; Hernandez-Boussard, Tina; Jensen, Mark; Lin, Yu; Lister, Allyson L; Lord, Phillip; Malone, James; Manduchi, Elisabetta; McGee, Monnie; Morrison, Norman; Overton, James A; Parkinson, Helen; Peters, Bjoern; Rocca-Serra, Philippe; Ruttenberg, Alan; Sansone, Susanna-Assunta; Scheuermann, Richard H; Schober, Daniel; Smith, Barry; Soldatova, Larisa N; Stoeckert, Christian J; Taylor, Chris F; Torniai, Carlo; Turner, Jessica A; Vita, Randi; Whetzel, Patricia L; Zheng, Jie

    2016-01-01

    The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI re-uses ontologies that provide a representation of biomedical knowledge from the Open Biological and Biomedical Ontologies (OBO) project and adds the ability to describe how this knowledge was derived. We here describe the state of OBI and several applications that are using it, such as adding semantic expressivity to existing databases, building data entry forms, and enabling interoperability between knowledge resources. OBI covers all phases of the investigation process, such as planning, execution and reporting. It represents information and material entities that participate in these processes, as well as roles and functions. Prior to OBI, it was not possible to use a single internally consistent resource that could be applied to multiple types of experiments for these applications. OBI has made this possible by creating terms for entities involved in biological and medical investigations and by importing parts of other biomedical ontologies such as GO, Chemical Entities of Biological Interest (ChEBI) and Phenotype Attribute and Trait Ontology (PATO) without altering their meaning. OBI is being used in a wide range of projects covering genomics, multi-omics, immunology, and catalogs of services. OBI has also spawned other ontologies (Information Artifact Ontology) and methods for importing parts of ontologies (Minimum information to reference an external ontology term (MIREOT)). The OBI project is an open cross-disciplinary collaborative effort, encompassing multiple research communities from around the globe. To date, OBI has created 2366 classes and 40 relations along with textual and formal definitions. The OBI Consortium maintains a web resource (http://obi-ontology.org) providing details on the people, policies, and issues being addressed

  6. The Ontology for Biomedical Investigations.

    Directory of Open Access Journals (Sweden)

    Anita Bandrowski

    Full Text Available The Ontology for Biomedical Investigations (OBI is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI re-uses ontologies that provide a representation of biomedical knowledge from the Open Biological and Biomedical Ontologies (OBO project and adds the ability to describe how this knowledge was derived. We here describe the state of OBI and several applications that are using it, such as adding semantic expressivity to existing databases, building data entry forms, and enabling interoperability between knowledge resources. OBI covers all phases of the investigation process, such as planning, execution and reporting. It represents information and material entities that participate in these processes, as well as roles and functions. Prior to OBI, it was not possible to use a single internally consistent resource that could be applied to multiple types of experiments for these applications. OBI has made this possible by creating terms for entities involved in biological and medical investigations and by importing parts of other biomedical ontologies such as GO, Chemical Entities of Biological Interest (ChEBI and Phenotype Attribute and Trait Ontology (PATO without altering their meaning. OBI is being used in a wide range of projects covering genomics, multi-omics, immunology, and catalogs of services. OBI has also spawned other ontologies (Information Artifact Ontology and methods for importing parts of ontologies (Minimum information to reference an external ontology term (MIREOT. The OBI project is an open cross-disciplinary collaborative effort, encompassing multiple research communities from around the globe. To date, OBI has created 2366 classes and 40 relations along with textual and formal definitions. The OBI Consortium maintains a web resource (http://obi-ontology.org providing details on the people, policies, and issues being

  7. Bootstrapping named entity resources for adaptive question answering systems

    OpenAIRE

    Pablo Sánchez, César de

    2010-01-01

    Los Sistemas de Búsqueda de Respuestas (SBR) amplían las capacidades de un buscador de información tradicional con la capacidad de encontrar respuestas precisas a las preguntas del usuario. El objetivo principal es facilitar el acceso a la información y disminuir el tiempo y el esfuerzo que el usuario debe emplear para encontrar una información concreta en una lista de documentos relevantes. En esta investigación se han abordado dos trabajos relacionados con los SBR. La primera parte presenta...

  8. Discovering biomedical semantic relations in PubMed queries for information retrieval and database curation.

    Science.gov (United States)

    Huang, Chung-Chi; Lu, Zhiyong

    2016-01-01

    Identifying relevant papers from the literature is a common task in biocuration. Most current biomedical literature search systems primarily rely on matching user keywords. Semantic search, on the other hand, seeks to improve search accuracy by understanding the entities and contextual relations in user keywords. However, past research has mostly focused on semantically identifying biological entities (e.g. chemicals, diseases and genes) with little effort on discovering semantic relations. In this work, we aim to discover biomedical semantic relations in PubMed queries in an automated and unsupervised fashion. Specifically, we focus on extracting and understanding the contextual information (or context patterns) that is used by PubMed users to represent semantic relations between entities such as 'CHEMICAL-1 compared to CHEMICAL-2' With the advances in automatic named entity recognition, we first tag entities in PubMed queries and then use tagged entities as knowledge to recognize pattern semantics. More specifically, we transform PubMed queries into context patterns involving participating entities, which are subsequently projected to latent topics via latent semantic analysis (LSA) to avoid the data sparseness and specificity issues. Finally, we mine semantically similar contextual patterns or semantic relations based on LSA topic distributions. Our two separate evaluation experiments of chemical-chemical (CC) and chemical-disease (CD) relations show that the proposed approach significantly outperforms a baseline method, which simply measures pattern semantics by similarity in participating entities. The highest performance achieved by our approach is nearly 0.9 and 0.85 respectively for the CC and CD task when compared against the ground truth in terms of normalized discounted cumulative gain (nDCG), a standard measure of ranking quality. These results suggest that our approach can effectively identify and return related semantic patterns in a ranked order

  9. Discovering biomedical semantic relations in PubMed queries for information retrieval and database curation.

    Science.gov (United States)

    Huang, Chung-Chi; Lu, Zhiyong

    2016-01-01

    Identifying relevant papers from the literature is a common task in biocuration. Most current biomedical literature search systems primarily rely on matching user keywords. Semantic search, on the other hand, seeks to improve search accuracy by understanding the entities and contextual relations in user keywords. However, past research has mostly focused on semantically identifying biological entities (e.g. chemicals, diseases and genes) with little effort on discovering semantic relations. In this work, we aim to discover biomedical semantic relations in PubMed queries in an automated and unsupervised fashion. Specifically, we focus on extracting and understanding the contextual information (or context patterns) that is used by PubMed users to represent semantic relations between entities such as 'CHEMICAL-1 compared to CHEMICAL-2' With the advances in automatic named entity recognition, we first tag entities in PubMed queries and then use tagged entities as knowledge to recognize pattern semantics. More specifically, we transform PubMed queries into context patterns involving participating entities, which are subsequently projected to latent topics via latent semantic analysis (LSA) to avoid the data sparseness and specificity issues. Finally, we mine semantically similar contextual patterns or semantic relations based on LSA topic distributions. Our two separate evaluation experiments of chemical-chemical (CC) and chemical-disease (CD) relations show that the proposed approach significantly outperforms a baseline method, which simply measures pattern semantics by similarity in participating entities. The highest performance achieved by our approach is nearly 0.9 and 0.85 respectively for the CC and CD task when compared against the ground truth in terms of normalized discounted cumulative gain (nDCG), a standard measure of ranking quality. These results suggest that our approach can effectively identify and return related semantic patterns in a ranked order

  10. Programming Entity Framework

    CERN Document Server

    Lerman, Julia

    2010-01-01

    Get a thorough introduction to ADO.NET Entity Framework 4 -- Microsoft's core framework for modeling and interacting with data in .NET applications. The second edition of this acclaimed guide provides a hands-on tour of the framework latest version in Visual Studio 2010 and .NET Framework 4. Not only will you learn how to use EF4 in a variety of applications, you'll also gain a deep understanding of its architecture and APIs. Written by Julia Lerman, the leading independent authority on the framework, Programming Entity Framework covers it all -- from the Entity Data Model and Object Service

  11. Biomedical Materials

    Institute of Scientific and Technical Information of China (English)

    CHANG Jiang; ZHOU Yanling

    2011-01-01

    @@ Biomedical materials, biomaterials for short, is regarded as "any substance or combination of substances, synthetic or natural in origin, which can be used for any period of time, as a whole or as part of a system which treats, augments, or replaces any tissue, organ or function of the body" (Vonrecum & Laberge, 1995).Biomaterials can save lives, relieve suffering and enhance the quality of life for human being.

  12. Using co-occurrence network structure to extract synonymous gene and protein names from MEDLINE abstracts

    Directory of Open Access Journals (Sweden)

    Spackman K

    2005-04-01

    Full Text Available Abstract Background Text-mining can assist biomedical researchers in reducing information overload by extracting useful knowledge from large collections of text. We developed a novel text-mining method based on analyzing the network structure created by symbol co-occurrences as a way to extend the capabilities of knowledge extraction. The method was applied to the task of automatic gene and protein name synonym extraction. Results Performance was measured on a test set consisting of about 50,000 abstracts from one year of MEDLINE. Synonyms retrieved from curated genomics databases were used as a gold standard. The system obtained a maximum F-score of 22.21% (23.18% precision and 21.36% recall, with high efficiency in the use of seed pairs. Conclusion The method performs comparably with other studied methods, does not rely on sophisticated named-entity recognition, and requires little initial seed knowledge.

  13. Spintronic platforms for biomedical applications.

    Science.gov (United States)

    Freitas, P P; Cardoso, F A; Martins, V C; Martins, S A M; Loureiro, J; Amaral, J; Chaves, R C; Cardoso, S; Fonseca, L P; Sebastião, A M; Pannetier-Lecoeur, M; Fermon, C

    2012-02-01

    Since the fundamental discovery of the giant magnetoresistance many spintronic devices have been developed and implemented in our daily life (e.g. information storage and automotive industry). Lately, advances in the sensors technology (higher sensitivity, smaller size) have potentiated other applications, namely in the biological area, leading to the emergence of novel biomedical platforms. In particular the investigation of spintronics and its application to the development of magnetoresistive (MR) biomolecular and biomedical platforms are giving rise to a new class of biomedical diagnostic devices, suitable for bench top bioassays as well as point-of-care and point-of-use devices. Herein, integrated spintronic biochip platforms for diagnostic and cytometric applications, hybrid systems incorporating magnetoresistive sensors applied to neuroelectronic studies and biomedical imaging, namely magneto-encephalography and magneto-cardiography, are reviewed. Also lab-on-a-chip MR-based platforms to perform biological studies at the single molecule level are discussed. Overall the potential and main characteristics of such MR-based biomedical devices, comparing to the existing technologies while giving particular examples of targeted applications, are addressed. PMID:22146898

  14. Combining discriminative SVM models for the improved recognition of investigator names in medical articles

    Science.gov (United States)

    Zhang, Xiaoli; Zou, Jie; Le, Daniel X.; Thoma, George R.

    2013-01-01

    Investigators are people who are listed as members of corporate organizations but not entered as authors in an article. Beginning with journals published in 2008, investigator names are required to be included in a new bibliographic field in MEDLINE citations. Automatic extraction of investigator names is necessary due to the increase in collaborative biomedical research and consequently the large number of such names. We implemented two discriminative SVM models, i.e., SVM and structural SVM, to identify named entities such as the first and last names of investigators from online medical journal articles. Both approaches achieve good performance at the word and name chunk levels. We further conducted an error analysis and found that SVM and structural SVM can offer complementary information about the patterns to be classified. Hence, we combined the two independently trained classifiers where the SVM is chosen as a base learner with its outputs enhanced by the predictions from the structural SVM. The overall performance especially the recall rate of investigator name retrieval exceeds that of the standalone SVM model.

  15. Cell mechanics in biomedical cavitation

    Science.gov (United States)

    Wang, Qianxi; Manmi, Kawa; Liu, Kuo-Kang

    2015-01-01

    Studies on the deformation behaviours of cellular entities, such as coated microbubbles and liposomes subject to a cavitation flow, become increasingly important for the advancement of ultrasonic imaging and drug delivery. Numerical simulations for bubble dynamics of ultrasound contrast agents based on the boundary integral method are presented in this work. The effects of the encapsulating shell are estimated by adapting Hoff's model used for thin-shell contrast agents. The viscosity effects are estimated by including the normal viscous stress in the boundary condition. In parallel, mechanical models of cell membranes and liposomes as well as state-of-the-art techniques for quantitative measurement of viscoelasticity for a single cell or coated microbubbles are reviewed. The future developments regarding modelling and measurement of the material properties of the cellular entities for cutting-edge biomedical applications are also discussed. PMID:26442142

  16. Ranking Biomedical Annotations with Annotator’s Semantic Relevancy

    Directory of Open Access Journals (Sweden)

    Aihua Wu

    2014-01-01

    Full Text Available Biomedical annotation is a common and affective artifact for researchers to discuss, show opinion, and share discoveries. It becomes increasing popular in many online research communities, and implies much useful information. Ranking biomedical annotations is a critical problem for data user to efficiently get information. As the annotator’s knowledge about the annotated entity normally determines quality of the annotations, we evaluate the knowledge, that is, semantic relationship between them, in two ways. The first is extracting relational information from credible websites by mining association rules between an annotator and a biomedical entity. The second way is frequent pattern mining from historical annotations, which reveals common features of biomedical entities that an annotator can annotate with high quality. We propose a weighted and concept-extended RDF model to represent an annotator, a biomedical entity, and their background attributes and merge information from the two ways as the context of an annotator. Based on that, we present a method to rank the annotations by evaluating their correctness according to user’s vote and the semantic relevancy between the annotator and the annotated entity. The experimental results show that the approach is applicable and efficient even when data set is large.

  17. Mastering entity framework

    CERN Document Server

    Singh, Rahul Rajat

    2015-01-01

    This book is for .NET developers who are developing data-driven applications using ADO.NET or other data access technologies. This book is going to give you everything you need to effectively develop and manage data-driven applications using Entity Framework.

  18. Where the streets have known names

    OpenAIRE

    Almeida, P.D.; Rocha, J. G.; Ballatore, Andrea; A. Zipf

    2016-01-01

    Street names provide important insights into the local culture, history, and politics of places. Linked open data provide a wealth of knowledge that can be associated with street names, enabling novel ways to explore cultural geographies. This paper presents a three-fold contribution. We present (1) a technique to establish a correspondence between street names and the entities that they refer to. The method is based on Wikidata, a knowledge base derived from Wikipedia. The accuracy of this m...

  19. ARABIC PERSON NAMES RECOGNITION BY USING A RULE BASED APPROACH

    Directory of Open Access Journals (Sweden)

    Mohammed Aboaoga

    2013-01-01

    Full Text Available Name Entity Recognition is very important task in many natural language processing applications such as; Machine Translation, Question Answering, Information Extraction, Text Summarization, Semantic Applications and Word Sense Disambiguation. Rule-based approach is one of the techniques that are used for named entity recognition to identify the named entities such as a person names, location names and organization names. The recent rule-based methods have been applied to recognize the person names in political domain. They ignored the recognition of other named entity types such as locations and organizations. We have used the rule based approach for recognizing the named entity type (person names for Arabic. We have developed four rules for identifying the person names depending on the position of name. We have used an in-house Arabic corpus collected from newspaper achieves. The evaluation method that compares the results of the system with the manually annotated text has been applied in order to compute precision, recall and f-measure. In the experiment of this study, the average f-measure for recognizing person names are (92.66, 92.04 and 90.43% in sport, economic and politic domain respectively. The experimental results showed that our rule-based method achieved the highest f-measure values in sport domain comparing with political and economic domains.

  20. Extraction of semantic biomedical relations from text using conditional random fields

    Directory of Open Access Journals (Sweden)

    Stetter Martin

    2008-04-01

    Full Text Available Abstract Background The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of automated information extraction tools. Named entity recognition of well-defined objects, such as genes or proteins, has achieved a sufficient level of maturity such that it can form the basis for the next step: the extraction of relations that exist between the recognized entities. Whereas most early work focused on the mere detection of relations, the classification of the type of relation is also of great importance and this is the focus of this work. In this paper we describe an approach that extracts both the existence of a relation and its type. Our work is based on Conditional Random Fields, which have been applied with much success to the task of named entity recognition. Results We benchmark our approach on two different tasks. The first task is the identification of semantic relations between diseases and treatments. The available data set consists of manually annotated PubMed abstracts. The second task is the identification of relations between genes and diseases from a set of concise phrases, so-called GeneRIF (Gene Reference Into Function phrases. In our experimental setting, we do not assume that the entities are given, as is often the case in previous relation extraction work. Rather the extraction of the entities is solved as a subproblem. Compared with other state-of-the-art approaches, we achieve very competitive results on both data sets. To demonstrate the scalability of our solution, we apply our approach to the complete human GeneRIF database. The resulting gene-disease network contains 34758 semantic associations between 4939 genes and 1745 diseases. The gene-disease network is publicly available as a machine-readable RDF graph. Conclusion We extend the framework of Conditional Random Fields towards the annotation of semantic relations from

  1. Biomedical engineering and nanotechnology

    International Nuclear Information System (INIS)

    This book is predominantly a compilation of papers presented in the conference which is focused on the development in biomedical materials, biomedical devises and instrumentation, biomedical effects of electromagnetic radiation, electrotherapy, radiotherapy, biosensors, biotechnology, bioengineering, tissue engineering, clinical engineering and surgical planning, medical imaging, hospital system management, biomedical education, biomedical industry and society, bioinformatics, structured nanomaterial for biomedical application, nano-composites, nano-medicine, synthesis of nanomaterial, nano science and technology development. The papers presented herein contain the scientific substance to suffice the academic directivity of the researchers from the field of biomedicine, biomedical engineering, material science and nanotechnology. Papers relevant to INIS are indexed separately

  2. Use of global context for handling noisy names in discussion texts of a homeopathy discussion forum

    Directory of Open Access Journals (Sweden)

    Mukta Majumder

    2014-03-01

    Full Text Available The task of identifying named entities from the discussion texts in Web forums faces the challenge of noisy names. As the names are often misspelled or abbreviated, the conventional techniques have failed to detect the noisy names properly. In this paper we propose a global context based framework for handling the noisy names. The framework is tested on a named entity recognition system designed to identify the names from the discussion texts in a homeopathy diagnosis discussion forum. The proposed global context-based framework is found to be effective in improving the accuracy of the named entity recognition system.

  3. The ontology of medically related social entities: recent developments

    OpenAIRE

    Hicks, Amanda; Hanna, Josh; Welch, Daniel; Brochhausen, Mathias; Hogan, William R.

    2016-01-01

    Background The Ontology of Medically Related Social Entities (OMRSE) was initially developed in 2011 to provide a framework for modeling demographic data in Resource Description Framework/Web Ontology Language. It is built upon the Basic Formal Ontology and conforms to Open Biomedical Ontologies Foundry’s best practices. Description We report recent development of OMRSE which includes representations of organizations, roles, facilities, demographic data, enrollment in insurance plans, and dat...

  4. 77 FR 37684 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2012-06-22

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering...

  5. 78 FR 42970 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2013-07-18

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering...

  6. 78 FR 6126 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting.

    Science.gov (United States)

    2013-01-29

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering...

  7. 75 FR 57969 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2010-09-23

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering...

  8. 75 FR 6039 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2010-02-05

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering...

  9. 76 FR 77546 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2011-12-13

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering...

  10. 76 FR 5593 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2011-02-01

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering...

  11. 77 FR 2737 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2012-01-19

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering...

  12. 77 FR 3480 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2012-01-24

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering...

  13. 78 FR 63998 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2013-10-25

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering...

  14. 77 FR 38845 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2012-06-29

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering...

  15. 76 FR 62814 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2011-10-11

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering...

  16. 75 FR 54641 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2010-09-08

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering...

  17. 77 FR 31624 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2012-05-29

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering...

  18. 78 FR 55268 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2013-09-10

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering...

  19. 78 FR 58547 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2013-09-24

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering...

  20. 76 FR 28795 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2011-05-18

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering...

  1. 78 FR 71627 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2013-11-29

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering...

  2. 76 FR 28055 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2011-05-13

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering...

  3. 76 FR 10910 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2011-02-28

    ... From the Federal Register Online via the Government Publishing Office ] DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering...

  4. Involvement of Corporate Entities in Waqaf Management: Experiences of Malaysia and Singapore

    OpenAIRE

    Norma Md Saad; Salina Kassim; Zarinah Hamid

    2013-01-01

    The main focus of this paper is to examine the corporate management models of selected waqaf entities in Malaysia and Singapore. The waqaf entities involved in this study include two corporate waqaf institutions namely Kumpulan Waqaf An-Nur Berhad and IIUM Endowment Fund and one corporate waqaf institution in Singapore namely Warees Private Limited, Majlis Ugama Islam Singapore. It also analyzes how these waqaf entities finance the development of their waqaf property, especially land. Such a ...

  5. Chinese multi-document personal name disambiguation

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    This paper presents a new approach to determining whether an interested personal name across documents refers to the same entity. Firstly, three vectors for each text are formed: the personal name Boolean vectors denoting whether a personal name occurs in the text, the biographical word Boolean vector representing title, occupation and so forth, and the feature vector with real values. Then, by combining a heuristic strategy based on Boolean vectors with an agglomerative clustering algorithm based on feature vectors, it seeks to resolve multi-document personal name coreference. Experimental results show that this approach achieves a good performance by testing on "Wang Gang" corpus.

  6. Biomedical engineering fundamentals

    CERN Document Server

    Bronzino, Joseph D

    2014-01-01

    Known as the bible of biomedical engineering, The Biomedical Engineering Handbook, Fourth Edition, sets the standard against which all other references of this nature are measured. As such, it has served as a major resource for both skilled professionals and novices to biomedical engineering.Biomedical Engineering Fundamentals, the first volume of the handbook, presents material from respected scientists with diverse backgrounds in physiological systems, biomechanics, biomaterials, bioelectric phenomena, and neuroengineering. More than three dozen specific topics are examined, including cardia

  7. Recognizing the Emotional Valence of Names: An ERP Study

    Science.gov (United States)

    Wang, Lin; Zhu, Zude; Bastiaansen, Marcel; Hagoort, Peter; Yang, Yufang

    2013-01-01

    Unlike common nouns, person names refer to unique entities and generally have a referring function. We used event-related potentials to investigate the time course of identifying the emotional meaning of nouns and names. The emotional valence of names and nouns were manipulated separately. The results show early N1 effects in response to emotional…

  8. Physical Properties of Biological Entities: An Introduction to the Ontology of Physics for Biology

    OpenAIRE

    Cook, Daniel L.; Bookstein, Fred L.; John H Gennari

    2011-01-01

    As biomedical investigators strive to integrate data and analyses across spatiotemporal scales and biomedical domains, they have recognized the benefits of formalizing languages and terminologies via computational ontologies. Although ontologies for biological entities—molecules, cells, organs—are well-established, there are no principled ontologies of physical properties—energies, volumes, flow rates—of those entities. In this paper, we introduce the Ontology of Physics for Biology (OPB), a ...

  9. Language as a biological entity

    Institute of Scientific and Technical Information of China (English)

    张舒音

    2010-01-01

    @@ Nowadays, the metaphor of "languageas abiological entity"claimed by some linguists being used widely has become a hot issue. Language and biological entity indeed share a lot of similarities,specifically,the life cycle of languages and the process of the language evolution and the spread of languages.

  10. Commercializing biomedical research through securitization techniques.

    Science.gov (United States)

    Fernandez, Jose-Maria; Stein, Roger M; Lo, Andrew W

    2012-10-01

    Biomedical innovation has become riskier, more expensive and more difficult to finance with traditional sources such as private and public equity. Here we propose a financial structure in which a large number of biomedical programs at various stages of development are funded by a single entity to substantially reduce the portfolio's risk. The portfolio entity can finance its activities by issuing debt, a critical advantage because a much larger pool of capital is available for investment in debt versus equity. By employing financial engineering techniques such as securitization, it can raise even greater amounts of more-patient capital. In a simulation using historical data for new molecular entities in oncology from 1990 to 2011, we find that megafunds of $5–15 billion may yield average investment returns of 8.9–11.4% for equity holders and 5–8% for 'research-backed obligation' holders, which are lower than typical venture-capital hurdle rates but attractive to pension funds, insurance companies and other large institutional investors.

  11. Commercializing biomedical research through securitization techniques.

    Science.gov (United States)

    Fernandez, Jose-Maria; Stein, Roger M; Lo, Andrew W

    2012-10-01

    Biomedical innovation has become riskier, more expensive and more difficult to finance with traditional sources such as private and public equity. Here we propose a financial structure in which a large number of biomedical programs at various stages of development are funded by a single entity to substantially reduce the portfolio's risk. The portfolio entity can finance its activities by issuing debt, a critical advantage because a much larger pool of capital is available for investment in debt versus equity. By employing financial engineering techniques such as securitization, it can raise even greater amounts of more-patient capital. In a simulation using historical data for new molecular entities in oncology from 1990 to 2011, we find that megafunds of $5–15 billion may yield average investment returns of 8.9–11.4% for equity holders and 5–8% for 'research-backed obligation' holders, which are lower than typical venture-capital hurdle rates but attractive to pension funds, insurance companies and other large institutional investors. PMID:23023199

  12. Periocular xanthogranuloma: A forgotten entity?

    Directory of Open Access Journals (Sweden)

    Charalampos Papagoras

    2010-03-01

    Full Text Available Charalampos Papagoras1, George Kitsos2, Paraskevi V Voulgari1, Anastasia K Zikou3, Maria I Argyropoulou3, Aikaterini Zioga4, Alexandros A Drosos11Rheumatology Clinic, Department of Internal Medicine; 2Department of Ophthalmology; 3Department of Clinical Imaging and Radiology, 4Department of Pathology, Medical School, University of Ioannina, Ioannina, GreeceAbstract: Periocular xanthogranulomatous diseases are a rare group of disorders which are characterized by a predilection to affect the orbit and ocular adnexa and special histopathological features, in particular infiltrates comprising non-Langerhans-derived foamy histiocytes and Touton giant cells. The differential diagnosis is difficult and occasionally definite diagnosis cannot be established even after clinical and histopathological findings are taken together. We describe a case of a middle-aged man who presented with a 10-year history of voluminous eyelid swelling with concomitant late-onset atopic manifestations, namely bronchial asthma and allergic rhinitis with nasal polyps. After thorough clinical and laboratory investigation, including a biopsy of the eyelid, we classified the patient’s disease to a rare entity that has been relatively recently described: periocular xanthogranuloma associated with adult-onset asthma. In a review of the literature, no prospective trials concerning the treatment of this disease were found. The literature mainly contained case reports and case series in which corticosteroids and chemotherapy with alkylating agents have been reported to be beneficial. We treated our patient with a combination of oral corticosteroids and cyclophosphamide pulses and we observed substantial regression of the eyelid masses together with a normalization of systemic immunologic abnormalities.Keywords: periocular xanthogranuloma, adult-onset asthma, non-Langerhans histiocytoses, cyclophosphamide, methylprednisolone

  13. Biomedical optical imaging

    CERN Document Server

    Fujimoto, James G

    2009-01-01

    Biomedical optical imaging is a rapidly emerging research area with widespread fundamental research and clinical applications. This book gives an overview of biomedical optical imaging with contributions from leading international research groups who have pioneered many of these techniques and applications. A unique research field spanning the microscopic to the macroscopic, biomedical optical imaging allows both structural and functional imaging. Techniques such as confocal and multiphoton microscopy provide cellular level resolution imaging in biological systems. The integration of this tech

  14. Introduction to biomedical engineering

    CERN Document Server

    Enderle, John

    2011-01-01

    Introduction to Biomedical Engineering is a comprehensive survey text for biomedical engineering courses. It is the most widely adopted text across the BME course spectrum, valued by instructors and students alike for its authority, clarity and encyclopedic coverage in a single volume. Biomedical engineers need to understand the wide range of topics that are covered in this text, including basic mathematical modeling; anatomy and physiology; electrical engineering, signal processing and instrumentation; biomechanics; biomaterials science and tissue engineering; and medical and engineering e

  15. 78 FR 1938 - Unblocking of One Individual and One Entity Blocked Pursuant to Executive Order 13315 of August...

    Science.gov (United States)

    2013-01-09

    ... Blocked Persons (``SDN List''). DATES: The removal of the individual and entity from the SDN List is... determined that the following individual and entity should be removed from the SDN List: Individual 1... Ampere 5, Monza 20052, Italy . The removal of the individual's and entity's names from the SDN List...

  16. 78 FR 107 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2013-01-02

    ... HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering Special... Person: John K. Hayes, Ph.D., Scientific Review Officer, National Institute of Biomedical Imaging...

  17. 76 FR 15988 - National Institute of Biomedical Imaging and Bioengineering; Notice of Meeting

    Science.gov (United States)

    2011-03-22

    ... HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering.... App.), notice is hereby given of a meeting of the National Advisory Council for Biomedical Imaging and... personal privacy. Name of Committee: National Advisory Council for Biomedical Imaging and...

  18. 78 FR 77474 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2013-12-23

    ... HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering Special...). Contact Person: John K. Hayes, Ph.D., Scientific Review Officer, National Institute of Biomedical...

  19. 77 FR 49821 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2012-08-17

    ... HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering Special.... Contact Person: John K. Hayes, Ph.D., Scientific Review Officer, National Institute of Biomedical...

  20. 78 FR 24223 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2013-04-24

    ... HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering... personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering Special...). Contact Person: John K. Hayes, Ph.D., Scientific Review Officer, National Institute of Biomedical...

  1. Biomedical engineering principles

    CERN Document Server

    Ritter, Arthur B; Valdevit, Antonio; Ascione, Alfred N

    2011-01-01

    Introduction: Modeling of Physiological ProcessesCell Physiology and TransportPrinciples and Biomedical Applications of HemodynamicsA Systems Approach to PhysiologyThe Cardiovascular SystemBiomedical Signal ProcessingSignal Acquisition and ProcessingTechniques for Physiological Signal ProcessingExamples of Physiological Signal ProcessingPrinciples of BiomechanicsPractical Applications of BiomechanicsBiomaterialsPrinciples of Biomedical Capstone DesignUnmet Clinical NeedsEntrepreneurship: Reasons why Most Good Designs Never Get to MarketAn Engineering Solution in Search of a Biomedical Problem

  2. Fundamental of biomedical engineering

    CERN Document Server

    Sawhney, GS

    2007-01-01

    About the Book: A well set out textbook explains the fundamentals of biomedical engineering in the areas of biomechanics, biofluid flow, biomaterials, bioinstrumentation and use of computing in biomedical engineering. All these subjects form a basic part of an engineer''s education. The text is admirably suited to meet the needs of the students of mechanical engineering, opting for the elective of Biomedical Engineering. Coverage of bioinstrumentation, biomaterials and computing for biomedical engineers can meet the needs of the students of Electronic & Communication, Electronic & Instrumenta

  3. Entity Ranking using Wikipedia as a Pivot

    NARCIS (Netherlands)

    Kaptein, R.; Serdyukov, P.; Vries, A.P. de; Kamps, J.

    2010-01-01

    In this paper we investigate the task of Entity Ranking on the Web. Searchers looking for entities are arguably better served by presenting a ranked list of entities directly, rather than a list of web pages with relevant but also potentially redundant information about these entities. Since entitie

  4. Naming names: the etymology of fungal entomopathogens.

    Science.gov (United States)

    The chapter introduces the reader to the etymology of the generic names given to 26 fungal entomopathogens. Possessing some knowledge on how a name originates sometimes provides us with information on a fungal characteristic that might help us identify the organism, e.g., Conidiobolus, Cordyceps, P...

  5. A corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools

    Directory of Open Access Journals (Sweden)

    Verspoor Karin

    2012-08-01

    Full Text Available Abstract Background We introduce the linguistic annotation of a corpus of 97 full-text biomedical publications, known as the Colorado Richly Annotated Full Text (CRAFT corpus. We further assess the performance of existing tools for performing sentence splitting, tokenization, syntactic parsing, and named entity recognition on this corpus. Results Many biomedical natural language processing systems demonstrated large differences between their previously published results and their performance on the CRAFT corpus when tested with the publicly available models or rule sets. Trainable systems differed widely with respect to their ability to build high-performing models based on this data. Conclusions The finding that some systems were able to train high-performing models based on this corpus is additional evidence, beyond high inter-annotator agreement, that the quality of the CRAFT corpus is high. The overall poor performance of various systems indicates that considerable work needs to be done to enable natural language processing systems to work well when the input is full-text journal articles. The CRAFT corpus provides a valuable resource to the biomedical natural language processing community for evaluation and training of new models for biomedical full text publications.

  6. Biomedical applications engineering tasks

    Science.gov (United States)

    Laenger, C. J., Sr.

    1976-01-01

    The engineering tasks performed in response to needs articulated by clinicians are described. Initial contacts were made with these clinician-technology requestors by the Southwest Research Institute NASA Biomedical Applications Team. The basic purpose of the program was to effectively transfer aerospace technology into functional hardware to solve real biomedical problems.

  7. What's in a Name

    Science.gov (United States)

    Bush, Sarah B.; Albanese, Judith; Karp, Karen S.

    2016-01-01

    Historically, some baby names have been more popular during a specific time span, whereas other names are considered timeless. The Internet article, "How to Tell Someone's Age When All You Know Is Her Name" (Silver and McCann 2014), describes the phenomenon of the rise and fall of name popularity, which served as a catalyst for the…

  8. British Sign Name Customs

    Science.gov (United States)

    Day, Linda; Sutton-Spence, Rachel

    2010-01-01

    Research presented here describes the sign names and the customs of name allocation within the British Deaf community. While some aspects of British Sign Language sign names and British Deaf naming customs differ from those in most Western societies, there are many similarities. There are also similarities with other societies outside the more…

  9. Film Name Translation

    Institute of Scientific and Technical Information of China (English)

    师晓晓

    2014-01-01

    <正>1.Introduction A good translation of the name should convey the information of the film and attract the audience’s desire for going to the cinema.Translation of film names should have business,information,culture,aesthetic features,while a short eye-catching name aims to leave the audience an unforgettable impression.This thesis discusses the translation of English film names from the aspects of the importance of English film name translation,principles for translating English film names and methods of English film name translation.

  10. Integrating Naming and Addressing of Persistent data in Programming Language and Operating System Contexts

    NARCIS (Netherlands)

    Valk, van der M.

    1993-01-01

    There exist a number of desirable transparencies in distributed computing, viz., name transparency: having a uniform way of naming entities in the system, regardless of their type or physical make up; location transparency: having a uniform way of addressing entities, regardless of their physical lo

  11. 40 CFR 59.201 - Applicability and designation of regulated entity.

    Science.gov (United States)

    2010-07-01

    ...-aerosol moth proofing products that are principally for the protection of fabric from damage by moths and... regulated entity is: the manufacturer or importer of the product; and any distributor that is named on the product label. The manufacturer or importer of the product is a regulated entity for purposes...

  12. Semantically linking molecular entities in literature through entity relationships

    NARCIS (Netherlands)

    Landeghem, S.; Bjorne, J.; Abeel, T.E.P.M.F.; De Baets, B.; Salakoski, T.; Van de Peer, Y.

    2012-01-01

    Background Text mining tools have gained popularity to process the vast amount of available research articles in the biomedical literature. It is crucial that such tools extract information with a sufficient level of detail to be applicable in real life scenarios. Studies of mining non-causal molecu

  13. Handbook of biomedical optics

    CERN Document Server

    Boas, David A

    2011-01-01

    Biomedical optics holds tremendous promise to deliver effective, safe, non- or minimally invasive diagnostics and targeted, customizable therapeutics. Handbook of Biomedical Optics provides an in-depth treatment of the field, including coverage of applications for biomedical research, diagnosis, and therapy. It introduces the theory and fundamentals of each subject, ensuring accessibility to a wide multidisciplinary readership. It also offers a view of the state of the art and discusses advantages and disadvantages of various techniques.Organized into six sections, this handbook: Contains intr

  14. Biomedical engineering fundamentals

    CERN Document Server

    Bronzino, Joseph D; Bronzino, Joseph D

    2006-01-01

    Over the last century,medicine has come out of the "black bag" and emerged as one of the most dynamic and advanced fields of development in science and technology. Today, biomedical engineering plays a critical role in patient diagnosis, care, and rehabilitation. As such, the field encompasses a wide range of disciplines, from biology and physiology to informatics and signal processing. Reflecting the enormous growth and change in biomedical engineering during the infancy of the 21st century, The Biomedical Engineering Handbook enters its third edition as a set of three carefully focused and

  15. Biomedical Engineering Desk Reference

    CERN Document Server

    Ratner, Buddy D; Schoen, Frederick J; Lemons, Jack E; Dyro, Joseph; Martinsen, Orjan G; Kyle, Richard; Preim, Bernhard; Bartz, Dirk; Grimnes, Sverre; Vallero, Daniel; Semmlow, John; Murray, W Bosseau; Perez, Reinaldo; Bankman, Isaac; Dunn, Stanley; Ikada, Yoshito; Moghe, Prabhas V; Constantinides, Alkis

    2009-01-01

    A one-stop Desk Reference, for Biomedical Engineers involved in the ever expanding and very fast moving area; this is a book that will not gather dust on the shelf. It brings together the essential professional reference content from leading international contributors in the biomedical engineering field. Material covers a broad range of topics including: Biomechanics and Biomaterials; Tissue Engineering; and Biosignal Processing* A hard-working desk reference providing all the essential material needed by biomedical and clinical engineers on a day-to-day basis * Fundamentals, key techniques,

  16. Biomedical applications of polymers

    CERN Document Server

    Gebelein, C G

    1991-01-01

    The biomedical applications of polymers span an extremely wide spectrum of uses, including artificial organs, skin and soft tissue replacements, orthopaedic applications, dental applications, and controlled release of medications. No single, short review can possibly cover all these items in detail, and dozens of books andhundreds of reviews exist on biomedical polymers. Only a few relatively recent examples will be cited here;additional reviews are listed under most of the major topics in this book. We will consider each of the majorclassifications of biomedical polymers to some extent, inclu

  17. Powering biomedical devices

    CERN Document Server

    Romero, Edwar

    2013-01-01

    From exoskeletons to neural implants, biomedical devices are no less than life-changing. Compact and constant power sources are necessary to keep these devices running efficiently. Edwar Romero's Powering Biomedical Devices reviews the background, current technologies, and possible future developments of these power sources, examining not only the types of biomedical power sources available (macro, mini, MEMS, and nano), but also what they power (such as prostheses, insulin pumps, and muscular and neural stimulators), and how they work (covering batteries, biofluids, kinetic and ther

  18. CONSIDERATIONS ON ENTITY'S RISK ANALYSIS

    Directory of Open Access Journals (Sweden)

    MIRELA MONEA

    2014-12-01

    Full Text Available In the present paper, because of the complexity of this topic, the purpose is to discuss the main aspects involved by risk analysis; starting with few conceptual approaches about risk and to outline the contributions about methods to assess different risks categories, especially methods to assess bankruptcy risk prediction (entity insolvency from economic literature. The methods used to estimate bankruptcy risk are based on the score function which helps to find if an entity is confronted with financial difficulties. The score functions are a diagnosis method elaborated relying on the discriminant analysis, allowing to assess and to predict the bankruptcy risk of the entity using a set of relevant financial ratios.

  19. Marine Place Names

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains the geographic place names for features in the U.S territorial waters and outer continental shelf. These names can be used to find or define...

  20. Naming the extrasolar planets

    CERN Document Server

    Lyra, W

    2009-01-01

    Extrasolar planets are not named and are referred to only by their assigned scientific designation. The reason given by the IAU to not name the planets is that it is considered impractical as planets are expected to be common. I advance some reasons as to why this logic is flawed, and suggest names for the 403 extrasolar planet candidates known as of Oct 2009, based on the continued tradition of names from Roman-Greek mythology.

  1. Naming as Strategic Communication:

    DEFF Research Database (Denmark)

    Schmeltz, Line; Kjeldsen, Anna Karina

    2016-01-01

    This article presents a framework for understanding corporate name change as strategic communication. From a corporate branding perspective, the choice of a new name can be seen as a wish to stand out from a group of similar organizations. Conversely, from an institutional perspective, name change...

  2. Programming Entity Framework Code First

    CERN Document Server

    Lerman, Julia

    2011-01-01

    Take advantage of the Code First data modeling approach in ADO.NET Entity Framework, and learn how to build and configure a model based on existing classes in your business domain. With this concise book, you'll work hands-on with examples to learn how Code First can create an in-memory model and database by default, and how you can exert more control over the model through further configuration. Code First provides an alternative to the database first and model first approaches to the Entity Data Model. Learn the benefits of defining your model with code, whether you're working with an exis

  3. Sensors for biomedical applications

    NARCIS (Netherlands)

    Bergveld, Piet

    1986-01-01

    This paper considers the impact during the last decade of modern IC technology, microelectronics, thin- and thick-film technology, fibre optic technology, etc. on the development of sensors for biomedical applications.

  4. Biomedical signal analysis

    CERN Document Server

    Rangayyan, Rangaraj M

    2015-01-01

    The book will help assist a reader in the development of techniques for analysis of biomedical signals and computer aided diagnoses with a pedagogical examination of basic and advanced topics accompanied by over 350 figures and illustrations. Wide range of filtering techniques presented to address various applications. 800 mathematical expressions and equations. Practical questions, problems and laboratory exercises. Includes fractals and chaos theory with biomedical applications.

  5. Biomedical signal processing

    CERN Document Server

    Akay, Metin

    1994-01-01

    Sophisticated techniques for signal processing are now available to the biomedical specialist! Written in an easy-to-read, straightforward style, Biomedical Signal Processing presents techniques to eliminate background noise, enhance signal detection, and analyze computer data, making results easy to comprehend and apply. In addition to examining techniques for electrical signal analysis, filtering, and transforms, the author supplies an extensive appendix with several computer programs that demonstrate techniques presented in the text.

  6. Sharing big biomedical data

    OpenAIRE

    Toga, Arthur W.; Dinov, Ivo D.

    2015-01-01

    Background The promise of Big Biomedical Data may be offset by the enormous challenges in handling, analyzing, and sharing it. In this paper, we provide a framework for developing practical and reasonable data sharing policies that incorporate the sociological, financial, technical and scientific requirements of a sustainable Big Data dependent scientific community. Findings Many biomedical and healthcare studies may be significantly impacted by using large, heterogeneous and incongruent data...

  7. Spatio-structural granularity of biological material entities

    Directory of Open Access Journals (Sweden)

    Vogt Lars

    2010-05-01

    Full Text Available Abstract Background With the continuously increasing demands on knowledge- and data-management that databases have to meet, ontologies and the theories of granularity they use become more and more important. Unfortunately, currently used theories and schemes of granularity unnecessarily limit the performance of ontologies due to two shortcomings: (i they do not allow the integration of multiple granularity perspectives into one granularity framework; (ii they are not applicable to cumulative-constitutively organized material entities, which cover most of the biomedical material entities. Results The above mentioned shortcomings are responsible for the major inconsistencies in currently used spatio-structural granularity schemes. By using the Basic Formal Ontology (BFO as a top-level ontology and Keet's general theory of granularity, a granularity framework is presented that is applicable to cumulative-constitutively organized material entities. It provides a scheme for granulating complex material entities into their constitutive and regional parts by integrating various compositional and spatial granularity perspectives. Within a scale dependent resolution perspective, it even allows distinguishing different types of representations of the same material entity. Within other scale dependent perspectives, which are based on specific types of measurements (e.g. weight, volume, etc., the possibility of organizing instances of material entities independent of their parthood relations and only according to increasing measures is provided as well. All granularity perspectives are connected to one another through overcrossing granularity levels, together forming an integrated whole that uses the compositional object perspective as an integrating backbone. This granularity framework allows to consistently assign structural granularity values to all different types of material entities. Conclusions The here presented framework provides a spatio

  8. Anatomical entity recognition with a hierarchical framework augmented by external resources.

    Directory of Open Access Journals (Sweden)

    Yan Xu

    Full Text Available References to anatomical entities in medical records consist not only of explicit references to anatomical locations, but also other diverse types of expressions, such as specific diseases, clinical tests, clinical treatments, which constitute implicit references to anatomical entities. In order to identify these implicit anatomical entities, we propose a hierarchical framework, in which two layers of named entity recognizers (NERs work in a cooperative manner. Each of the NERs is implemented using the Conditional Random Fields (CRF model, which use a range of external resources to generate features. We constructed a dictionary of anatomical entity expressions by exploiting four existing resources, i.e., UMLS, MeSH, RadLex and BodyPart3D, and supplemented information from two external knowledge bases, i.e., Wikipedia and WordNet, to improve inference of anatomical entities from implicit expressions. Experiments conducted on 300 discharge summaries showed a micro-averaged performance of 0.8509 Precision, 0.7796 Recall and 0.8137 F1 for explicit anatomical entity recognition, and 0.8695 Precision, 0.6893 Recall and 0.7690 F1 for implicit anatomical entity recognition. The use of the hierarchical framework, which combines the recognition of named entities of various types (diseases, clinical tests, treatments with information embedded in external knowledge bases, resulted in a 5.08% increment in F1. The resources constructed for this research will be made publicly available.

  9. Camera systems in human motion analysis for biomedical applications

    Science.gov (United States)

    Chin, Lim Chee; Basah, Shafriza Nisha; Yaacob, Sazali; Juan, Yeap Ewe; Kadir, Aida Khairunnisaa Ab.

    2015-05-01

    Human Motion Analysis (HMA) system has been one of the major interests among researchers in the field of computer vision, artificial intelligence and biomedical engineering and sciences. This is due to its wide and promising biomedical applications, namely, bio-instrumentation for human computer interfacing and surveillance system for monitoring human behaviour as well as analysis of biomedical signal and image processing for diagnosis and rehabilitation applications. This paper provides an extensive review of the camera system of HMA, its taxonomy, including camera types, camera calibration and camera configuration. The review focused on evaluating the camera system consideration of the HMA system specifically for biomedical applications. This review is important as it provides guidelines and recommendation for researchers and practitioners in selecting a camera system of the HMA system for biomedical applications.

  10. ProMiner: rule-based protein and gene entity recognition

    OpenAIRE

    Hanisch, D.; Fundel, K.; Mevissen, H. T.; Zimmer, R; Fluck, J

    2005-01-01

    Background: Identification of gene and protein names in biomedical text is a challenging task as the corresponding nomenclature has evolved over time. This has led to multiple synonyms for individual genes and proteins, as well as names that may be ambiguous with other gene names or with general English words. The Gene List Task of the BioCreAtIvE challenge evaluation enables comparison of systems addressing the problem of protein and gene name identification on common benchmark data. Methods...

  11. Bibliography of astatine chemistry and biomedical applications

    International Nuclear Information System (INIS)

    An overall bibliography is presented on astatine chemistry and on the biomedical applications of its 211At isotope. The references were grouped in the following chapters: General reviews; Discovery, Natural Occurence; Nuclear Data; Preparation, Handling, Radiation Risk; Physico-chemical Properties; Astatine Compounds and Chemical Reactions; Biological Effects and Applications. Entries are sorted alphabetically by authors name in each chapter, and cross-references to other chapters are provided if appropriate. (R.P.)

  12. Facilitating biomedical researchers' interrogation of electronic health record data: Ideas from outside of biomedical informatics.

    Science.gov (United States)

    Hruby, Gregory W; Matsoukas, Konstantina; Cimino, James J; Weng, Chunhua

    2016-04-01

    Electronic health records (EHR) are a vital data resource for research uses, including cohort identification, phenotyping, pharmacovigilance, and public health surveillance. To realize the promise of EHR data for accelerating clinical research, it is imperative to enable efficient and autonomous EHR data interrogation by end users such as biomedical researchers. This paper surveys state-of-art approaches and key methodological considerations to this purpose. We adapted a previously published conceptual framework for interactive information retrieval, which defines three entities: user, channel, and source, by elaborating on channels for query formulation in the context of facilitating end users to interrogate EHR data. We show the current progress in biomedical informatics mainly lies in support for query execution and information modeling, primarily due to emphases on infrastructure development for data integration and data access via self-service query tools, but has neglected user support needed during iteratively query formulation processes, which can be costly and error-prone. In contrast, the information science literature has offered elaborate theories and methods for user modeling and query formulation support. The two bodies of literature are complementary, implying opportunities for cross-disciplinary idea exchange. On this basis, we outline the directions for future informatics research to improve our understanding of user needs and requirements for facilitating autonomous interrogation of EHR data by biomedical researchers. We suggest that cross-disciplinary translational research between biomedical informatics and information science can benefit our research in facilitating efficient data access in life sciences.

  13. Enriching a biomedical event corpus with meta-knowledge annotation

    OpenAIRE

    Thompson Paul; Nawaz Raheel; McNaught John; Ananiadou Sophia

    2011-01-01

    Abstract Background Biomedical papers contain rich information about entities, facts and events of biological relevance. To discover these automatically, we use text mining techniques, which rely on annotated corpora for training. In order to extract protein-protein interactions, genotype-phenotype/gene-disease associations, etc., we rely on event corpora that are annotated with classified, structured representations of important facts and findings contained within text. These provide an impo...

  14. Biomedical Effects and Nanomaterials: Nanosafety of Engineered Recent Progress%Biomedical Effects and Nanomaterials: Nanosafety of Engineered Recent Progress

    Institute of Scientific and Technical Information of China (English)

    王晓峰; 朱墨桃; 李敬源

    2012-01-01

    With the development of nanotechnology, there are growing concerns about biological effects and biosafety of engineered nanomaterials. On the other hand, nanoparticles are widely used in medical fields based on their novel interactions with biological entities. However, there are still a lot of challenges to establish systematic knowledge about nanotoxicology and develop biologically safer biomedical materials due to the variety of factors determining their biomedical effects and nanotoxicity. Understanding the interactions of engineered nanomaterials with the bio- logical entities becomes crucial to the further development of nanoscience and nanotechnology. In the past decade, colleagues in our laboratory intensively studied the toxic properties of various kinds of nanomaterials and their chemical mechanisms. In this paper we review the recent advance in the research on the biological effects of engi- neered nanomaterials and nanosafety issue, by focusing on the studies about representative nanomaterials in our la- boratory.

  15. REX: Explaining Relationships between Entity Pairs

    CERN Document Server

    Fang, Lujun; Yu, Cong; Bohannon, Philip

    2011-01-01

    Knowledge bases of entities and relations (either constructed manually or automatically) are behind many real world search engines, including those at Yahoo!, Microsoft, and Google. Those knowledge bases can be viewed as graphs with nodes representing entities and edges representing (primary) relationships, and various studies have been conducted on how to leverage them to answer entity seeking queries. Meanwhile, in a complementary direction, analyses over the query logs have enabled researchers to identify entity pairs that are statistically correlated. Such entity relationships are then presented to search users through the "related searches" feature in modern search engines. However, entity relationships thus discovered can often be "puzzling" to the users because why the entities are connected is often indescribable. In this paper, we propose a novel problem called "entity relationship explanation", which seeks to explain why a pair of entities are connected, and solve this challenging problem by integra...

  16. Meaningful Method Names

    OpenAIRE

    2011-01-01

    We build computer programs by creating named abtractions, aggregations of behaviour that can be invoked by referring to the name alone. Abstractions can be nested, meaning we can construct new, more powerful abstractions that use more primitive abstractions. Thus we can start from tiny blocks of behaviour and build arbitrarily complex systems. For this to work, however, the abstractions must be sound—in other words, the names must suit the behaviour they represent. Otherwise our tower of abst...

  17. Robust hybrid name disambiguation framework for large databases

    KAUST Repository

    Zhu, Jia

    2013-10-26

    In many databases, science bibliography database for example, name attribute is the most commonly chosen identifier to identify entities. However, names are often ambiguous and not always unique which cause problems in many fields. Name disambiguation is a non-trivial task in data management that aims to properly distinguish different entities which share the same name, particularly for large databases like digital libraries, as only limited information can be used to identify authors\\' name. In digital libraries, ambiguous author names occur due to the existence of multiple authors with the same name or different name variations for the same person. Also known as name disambiguation, most of the previous works to solve this issue often employ hierarchical clustering approaches based on information inside the citation records, e.g. co-authors and publication titles. In this paper, we focus on proposing a robust hybrid name disambiguation framework that is not only applicable for digital libraries but also can be easily extended to other application based on different data sources. We propose a web pages genre identification component to identify the genre of a web page, e.g. whether the page is a personal homepage. In addition, we propose a re-clustering model based on multidimensional scaling that can further improve the performance of name disambiguation. We evaluated our approach on known corpora, and the favorable experiment results indicated that our proposed framework is feasible. © 2013 Akadémiai Kiadó, Budapest, Hungary.

  18. Directory of awardee names

    Energy Technology Data Exchange (ETDEWEB)

    1999-07-01

    Standardization of grant and contract awardee names has been an area of concern since the development of the Department`s Procurement and Assistance Data System (PADS). A joint effort was begun in 1983 by the Office of Scientific and Technical Information (OSTI) and the Office of Procurement and Assistance Management/Information Systems and Analysis Division to develop a means for providing uniformity of awardee names. As a result of this effort, a method of assigning vendor identification codes to each unique awardee name, division, city, and state combination was developed and is maintained by OSTI. Changes to vendor identification codes or awardee names contained in PADS can be made only by OSTI. Awardee names in the Directory indicate that the awardee has had a prime contract (excluding purchase orders of $10,000 or less) with, or a financial assistance award from, the Department. Award status--active, inactive, or retired--is not shown. The Directory is in alphabetic sequence based on awardee name and reflects the OSTI-assigned vendor identification code to the right of the name. A vendor identification code is assigned to each unique awardee name, division, city, and state (for place of performance). The same vendor identification code is used for awards throughout the Department.

  19. Your Name Is What?

    Institute of Scientific and Technical Information of China (English)

    AARON; A.; VESSUP

    2009-01-01

    country singer Johnny Cash was famous for his song Boy Named Sue that topped the charts back in the early 1970s. The song tells of a father who gave his son a girl’s name to help harden him for life. This was the excuse of

  20. Financial Statements in Particular Entity

    OpenAIRE

    Hořáková, Marie

    2011-01-01

    The thesis delivers suggestions to improve procedures in a financial statement from particular company according to an analysis of individual financial statement pieces and tests of a financial statement report. The first part of the literature search is devoted to an analysis of preparing pieces of the Financial Statement, necessary to carry out at the end of any accounting year to avoid distorting in accounting. After counting all issues, the accounting entity is to close all accounting...

  1. Entity Framework 41 Expert's Cookbook

    CERN Document Server

    Liles, Devlin

    2012-01-01

    This book takes a step-by-step problem solving approach that leads you through a problem and explains each step in detail to accomplish the goal. This books gives you concrete code examples as well as detailed information on the decisions involved. This book is for intermediate to advanced .NET developers who have used LINQ to SQL or Entity Framework in some form but want to have more control over the implementation.

  2. Collagenous Gastritis: A Rare Entity

    OpenAIRE

    Faten Limaiem; Sabeh Mzabi

    2015-01-01

    Collagenous gastritis is a rare entity of unknown etiology characterized histologically by the presence of a thick subepithelial collagen band associated with an inflammatory infiltrate of gastric mucosa. A 40-year-old male presented with a history of chronic intermittent abdominal pain for about 6 months. Physical examination was unremarkable, and biological tests were within normal range. The patient underwent esophagogastroduodenoscopy and colonoscopy which showed a nodular mucosa of the s...

  3. Joint Event Detection and Entity Resolution: a Virtuous Cycle

    OpenAIRE

    Galle, Matthias; Renders, Jean-Michel; Jacquet, Guillaume

    2016-01-01

    Clustering web documents has numerous applications, such as aggregating news articles into meaningful events, detecting trends and hot topics on the Web, preserving diversity in search results, etc. At the same time, the importance of named entities and, in particular, the ability to recognize them and to solve the associated co-reference resolution problem are widely recognized as key enabling factors when mining, aggregating and comparing content on the Web. Instead of considering these two...

  4. Advances in biomedical engineering

    CERN Document Server

    Brown, J H U

    1976-01-01

    Advances in Biomedical Engineering, Volume 6, is a collection of papers that discusses the role of integrated electronics in medical systems and the usage of biological mathematical models in biological systems. Other papers deal with the health care systems, the problems and methods of approach toward rehabilitation, as well as the future of biomedical engineering. One paper discusses the use of system identification as it applies to biological systems to estimate the values of a number of parameters (for example, resistance, diffusion coefficients) by indirect means. More particularly, the i

  5. Advances in biomedical engineering

    CERN Document Server

    Brown, J H U

    1976-01-01

    Advances in Biomedical Engineering, Volume 5, is a collection of papers that deals with application of the principles and practices of engineering to basic and applied biomedical research, development, and the delivery of health care. The papers also describe breakthroughs in health improvements, as well as basic research that have been accomplished through clinical applications. One paper examines engineering principles and practices that can be applied in developing therapeutic systems by a controlled delivery system in drug dosage. Another paper examines the physiological and materials vari

  6. Biomedical enhancements as justice.

    Science.gov (United States)

    Nam, Jeesoo

    2015-02-01

    Biomedical enhancements, the applications of medical technology to make better those who are neither ill nor deficient, have made great strides in the past few decades. Using Amartya Sen's capability approach as my framework, I argue in this article that far from being simply permissible, we have a prima facie moral obligation to use these new developments for the end goal of promoting social justice. In terms of both range and magnitude, the use of biomedical enhancements will mark a radical advance in how we compensate the most disadvantaged members of society.

  7. Recognizing the emotional valence of names: an ERP study.

    Science.gov (United States)

    Wang, Lin; Zhu, Zude; Bastiaansen, Marcel; Hagoort, Peter; Yang, Yufang

    2013-04-01

    Unlike common nouns, person names refer to unique entities and generally have a referring function. We used event-related potentials to investigate the time course of identifying the emotional meaning of nouns and names. The emotional valence of names and nouns were manipulated separately. The results show early N1 effects in response to emotional valence only for nouns. This might reflect automatic attention directed towards emotional stimuli. The absence of such an effect for names supports the notion that the emotional meaning carried by names is accessed after word recognition and person identification. In addition, both names with negative valence and emotional nouns elicited late positive effects, which have been associated with evaluation of emotional significance. This positive effect started earlier for nouns than for names, but with similar durations. Our results suggest that distinct neural systems are involved in the retrieval of names' and nouns' emotional meaning.

  8. Qualified Entity Certification Program for Medicare Data

    Data.gov (United States)

    U.S. Department of Health & Human Services — QECP welcomes any entities that would like to participate in, learn more about, or assess their capability to function as a qualified entity (QE) under section...

  9. Name agreement in picture naming : An ERP study

    NARCIS (Netherlands)

    Cheng, Xiaorong; Schafer, Graham; Akyürek, Elkan G.

    2010-01-01

    Name agreement is the extent to which different people agree on a name for a particular picture. Previous studies have found that it takes longer to name low name agreement pictures than high name agreement pictures. To examine the effect of name agreement in the online process of picture naming, we

  10. Biomedical Engineering in Modern Society

    Science.gov (United States)

    Attinger, E. O.

    1971-01-01

    Considers definition of biomedical engineering (BME) and how biomedical engineers should be trained. State of the art descriptions of BME and BME education are followed by a brief look at the future of BME. (TS)

  11. Who Named the -On's?

    Science.gov (United States)

    Walker, Charles T.; Slack, Glen A.

    1970-01-01

    Originators of the concept coiners of the name are discussed for the following particles": boson, electron, exciton, fermion, magnon, neutron, phonon, photon, plasmon, polariton, polaron, proton, and roton. (Author/DS)

  12. "Name" that Animal

    Science.gov (United States)

    Laird, Shirley

    2010-01-01

    In this article, the author describes a texture and pattern project. Students started by doing an outline contour drawing of an animal. With the outline drawn, the students then write one of their names to fit "inside" the animal.

  13. Biomedical applications of photochemistry

    OpenAIRE

    Chan, BP

    2010-01-01

    Photochemistry is the study of photochemical reactions between light and molecules. Recently, there have been increasing interests in using photochemical reactions in the fields of biomaterials and tissue engineering. This work revisits the components and mechanisms of photochemistry and reviews biomedical applications of photochemistry in various disciplines, including oncology, molecular biology, and biosurgery, with particular emphasis on tissue engineering. Finally, potential toxicities a...

  14. Anatomy for Biomedical Engineers

    Science.gov (United States)

    Carmichael, Stephen W.; Robb, Richard A.

    2008-01-01

    There is a perceived need for anatomy instruction for graduate students enrolled in a biomedical engineering program. This appeared especially important for students interested in and using medical images. These students typically did not have a strong background in biology. The authors arranged for students to dissect regions of the body that…

  15. Implantable CMOS Biomedical Devices

    Directory of Open Access Journals (Sweden)

    Toshihiko Noda

    2009-11-01

    Full Text Available The results of recent research on our implantable CMOS biomedical devices are reviewed. Topics include retinal prosthesis devices and deep-brain implantation devices for small animals. Fundamental device structures and characteristics as well as in vivo experiments are presented.

  16. Bevalac biomedical facility

    International Nuclear Information System (INIS)

    This paper describes the physical layout of the Bevalac Facility and the research programs carried out at the facility. Beam time on the Bevalac is divided between two disciplines: one-third for biomedical research and two-thirds for nuclear science studies. The remainder of the paper discusses the beam delivery system including dosimetry, beam sharing and beam scanning

  17. Biomedical applications in EELA.

    Science.gov (United States)

    Cardenas, Miguel; Hernández, Vicente; Mayo, Rafael; Blanquer, Ignacio; Perez-Griffo, Javier; Isea, Raul; Nuñez, Luis; Mora, Henry Ricardo; Fernández, Manuel

    2006-01-01

    The current demand for Grid Infrastructures to bring collabarating groups between Latina America and Europe has created the EELA proyect. This e-infrastructure is used by Biomedical groups in Latina America and Europe for the studies of ocnological analisis, neglected diseases, sequence alignments and computation plygonetics. PMID:16823158

  18. Incremental Computation with Names

    OpenAIRE

    Hammer, Matthew A.; Dunfield, Joshua; Headley, Kyle; Labich, Nicholas; Foster, Jeffrey S.; Hicks, Michael; Van Horn, David

    2015-01-01

    Over the past thirty years, there has been significant progress in developing general-purpose, language-based approaches to incremental computation, which aims to efficiently update the result of a computation when an input is changed. A key design challenge in such approaches is how to provide efficient incremental support for a broad range of programs. In this paper, we argue that first-class names are a critical linguistic feature for efficient incremental computation. Names identify compu...

  19. Maxillary Osteomyelitis: A Rare Entity.

    Science.gov (United States)

    Habib, Ayaaz; Sivaji, Nagaraj; Ashraf, Tauseef

    2016-01-01

    Osteomyelitis of the maxilla is now a rare event with the advent of antibiotics. The two predominant causes are odontogenic infections and sinusitis. Immunocompromised states such as diabetes, HIV, and malnutrition increase the risk of osteomyelitis. It is important to recognize this early as it is a difficult entity to treat with potentially serious consequences. We report an unusual case of right sided maxillary osteomyelitis in a lady with poorly controlled diabetes in rural Lincolnshire. Biopsy of the right maxillary bone showed features of acute osteomyelitis. This responded well to a prolonged course of oral antibiotics. PMID:27648332

  20. Maxillary Osteomyelitis: A Rare Entity

    Directory of Open Access Journals (Sweden)

    Ayaaz Habib

    2016-01-01

    Full Text Available Osteomyelitis of the maxilla is now a rare event with the advent of antibiotics. The two predominant causes are odontogenic infections and sinusitis. Immunocompromised states such as diabetes, HIV, and malnutrition increase the risk of osteomyelitis. It is important to recognize this early as it is a difficult entity to treat with potentially serious consequences. We report an unusual case of right sided maxillary osteomyelitis in a lady with poorly controlled diabetes in rural Lincolnshire. Biopsy of the right maxillary bone showed features of acute osteomyelitis. This responded well to a prolonged course of oral antibiotics.

  1. 22 CFR 96.5 - Requirement that accrediting entity be a nonprofit or public entity.

    Science.gov (United States)

    2010-04-01

    ... nonprofit or public entity. An accrediting entity must qualify as either: (a) An organization described in... 22 Foreign Relations 1 2010-04-01 2010-04-01 false Requirement that accrediting entity be a nonprofit or public entity. 96.5 Section 96.5 Foreign Relations DEPARTMENT OF STATE LEGAL AND...

  2. LEGAL ENTITIES IN ROMANIAN PRIVATE INTERNATIONAL LAW

    Directory of Open Access Journals (Sweden)

    Berlingher Remus Daniel

    2013-12-01

    Full Text Available Legal entities play an increasing role in international economic relations, as well as in political, cultural, social or human relations. Any legal entity is subject to the law of a certain country, as it can only exist or function on the basis of legal provisions. In this sense, the paper analyses the law applicable to the organic statute of a legal entity, the importance and criteria underlying the establishment of a legal entity’s nationality, the recognition of foreign legal entities in Romania, as well as the rights and obligations of foreign legal entities residing in our country.

  3. Titanium nanostructures for biomedical applications

    Science.gov (United States)

    Kulkarni, M.; Mazare, A.; Gongadze, E.; Perutkova, Š.; Kralj-Iglič, V.; Milošev, I.; Schmuki, P.; Iglič, A.; Mozetič, M.

    2015-02-01

    Titanium and titanium alloys exhibit a unique combination of strength and biocompatibility, which enables their use in medical applications and accounts for their extensive use as implant materials in the last 50 years. Currently, a large amount of research is being carried out in order to determine the optimal surface topography for use in bioapplications, and thus the emphasis is on nanotechnology for biomedical applications. It was recently shown that titanium implants with rough surface topography and free energy increase osteoblast adhesion, maturation and subsequent bone formation. Furthermore, the adhesion of different cell lines to the surface of titanium implants is influenced by the surface characteristics of titanium; namely topography, charge distribution and chemistry. The present review article focuses on the specific nanotopography of titanium, i.e. titanium dioxide (TiO2) nanotubes, using a simple electrochemical anodisation method of the metallic substrate and other processes such as the hydrothermal or sol-gel template. One key advantage of using TiO2 nanotubes in cell interactions is based on the fact that TiO2 nanotube morphology is correlated with cell adhesion, spreading, growth and differentiation of mesenchymal stem cells, which were shown to be maximally induced on smaller diameter nanotubes (15 nm), but hindered on larger diameter (100 nm) tubes, leading to cell death and apoptosis. Research has supported the significance of nanotopography (TiO2 nanotube diameter) in cell adhesion and cell growth, and suggests that the mechanics of focal adhesion formation are similar among different cell types. As such, the present review will focus on perhaps the most spectacular and surprising one-dimensional structures and their unique biomedical applications for increased osseointegration, protein interaction and antibacterial properties.

  4. Titanium nanostructures for biomedical applications

    International Nuclear Information System (INIS)

    Titanium and titanium alloys exhibit a unique combination of strength and biocompatibility, which enables their use in medical applications and accounts for their extensive use as implant materials in the last 50 years. Currently, a large amount of research is being carried out in order to determine the optimal surface topography for use in bioapplications, and thus the emphasis is on nanotechnology for biomedical applications. It was recently shown that titanium implants with rough surface topography and free energy increase osteoblast adhesion, maturation and subsequent bone formation. Furthermore, the adhesion of different cell lines to the surface of titanium implants is influenced by the surface characteristics of titanium; namely topography, charge distribution and chemistry. The present review article focuses on the specific nanotopography of titanium, i.e. titanium dioxide (TiO2) nanotubes, using a simple electrochemical anodisation method of the metallic substrate and other processes such as the hydrothermal or sol-gel template. One key advantage of using TiO2 nanotubes in cell interactions is based on the fact that TiO2 nanotube morphology is correlated with cell adhesion, spreading, growth and differentiation of mesenchymal stem cells, which were shown to be maximally induced on smaller diameter nanotubes (15 nm), but hindered on larger diameter (100 nm) tubes, leading to cell death and apoptosis. Research has supported the significance of nanotopography (TiO2 nanotube diameter) in cell adhesion and cell growth, and suggests that the mechanics of focal adhesion formation are similar among different cell types. As such, the present review will focus on perhaps the most spectacular and surprising one-dimensional structures and their unique biomedical applications for increased osseointegration, protein interaction and antibacterial properties. (topical review)

  5. 77 FR 189 - Federal Acquisition Regulation; Brand-Name Specifications

    Science.gov (United States)

    2012-01-03

    ... respondents expressed a strong belief that all Government procurements should be subject to the same brand... computers, versus other brand-name computers that are also available on FSS contracts. There is a benefit to... procedures. The rule will benefit small business entities by providing the opportunity for review of...

  6. Recommending Given Names

    CERN Document Server

    Mitzlaff, Folke

    2013-01-01

    All over the world, future parents are facing the task of finding a suitable given name for their child. This choice is influenced by different factors, such as the social context, language, cultural background and especially personal taste. Although this task is omnipresent, little research has been conducted on the analysis and application of interrelations among given names from a data mining perspective. The present work tackles the problem of recommending given names, by firstly mining for inter-name relatedness in data from the Social Web. Based on these results, the name search engine "Nameling" was built, which attracted more than 35,000 users within less than six months, underpinning the relevance of the underlying recommendation task. The accruing usage data is then used for evaluating different state-of-the-art recommendation systems, as well our new \\NR algorithm which we adopted from our previous work on folksonomies and which yields the best results, considering the trade-off between prediction ...

  7. Biomedical Terminology Mapper for UML projects.

    Science.gov (United States)

    Thibault, Julien C; Frey, Lewis

    2013-01-01

    As the biomedical community collects and generates more and more data, the need to describe these datasets for exchange and interoperability becomes crucial. This paper presents a mapping algorithm that can help developers expose local implementations described with UML through standard terminologies. The input UML class or attribute name is first normalized and tokenized, then lookups in a UMLS-based dictionary are performed. For the evaluation of the algorithm 142 UML projects were extracted from caGrid and automatically mapped to National Cancer Institute (NCI) terminology concepts. Resulting mappings at the UML class and attribute levels were compared to the manually curated annotations provided in caGrid. Results are promising and show that this type of algorithm could speed-up the tedious process of mapping local implementations to standard biomedical terminologies.

  8. Collagenous Gastritis: A Rare Entity

    Directory of Open Access Journals (Sweden)

    Faten Limaiem

    2015-06-01

    Full Text Available Collagenous gastritis is a rare entity of unknown etiology characterized histologically by the presence of a thick subepithelial collagen band associated with an inflammatory infiltrate of gastric mucosa. A 40-year-old male presented with a history of chronic intermittent abdominal pain for about 6 months. Physical examination was unremarkable, and biological tests were within normal range. The patient underwent esophagogastroduodenoscopy and colonoscopy which showed a nodular mucosa of the stomach. Biopsies of the duodenum and colon were unremarkable. However, biopsies of the gastric fundus revealed a mild chronic gastritis characterized by lymphocytic and plasma cell infiltration of deep mucosa, without lymphoid follicle formation or active inflammation. No microorganisms were identified on routine hematoxylin and eosin or Giemsa-stained sections. Subepithelial collagen in the gastric biopsies was thickened and showed entrapped capillaries. Subepithelial collagen was highlighted by Masson's trichrome staining and was negative for amyloid by Congo Red. In the areas containing thickened collagen, there were no intraepithelial lymphocytes. The final pathological diagnosis was collagenous gastritis. Collagenous gastritis is an extremely rare disease, but it is important to recognize its characteristic endoscopic and pathologic findings to make a correct diagnosis. Specific therapy for this rare entity has not yet been established. [J Interdiscipl Histopathol 2015; 3(2.000: 68-70

  9. Biomedical signals, imaging, and informatics

    CERN Document Server

    Bronzino, Joseph D

    2014-01-01

    Known as the bible of biomedical engineering, The Biomedical Engineering Handbook, Fourth Edition, sets the standard against which all other references of this nature are measured. As such, it has served as a major resource for both skilled professionals and novices to biomedical engineering.Biomedical Signals, Imaging, and Informatics, the third volume of the handbook, presents material from respected scientists with diverse backgrounds in biosignal processing, medical imaging, infrared imaging, and medical informatics.More than three dozen specific topics are examined, including biomedical s

  10. Optical Polarizationin Biomedical Applications

    CERN Document Server

    Tuchin, Valery V; Zimnyakov, Dmitry A

    2006-01-01

    Optical Polarization in Biomedical Applications introduces key developments in optical polarization methods for quantitative studies of tissues, while presenting the theory of polarization transfer in a random medium as a basis for the quantitative description of polarized light interaction with tissues. This theory uses the modified transfer equation for Stokes parameters and predicts the polarization structure of multiple scattered optical fields. The backscattering polarization matrices (Jones matrix and Mueller matrix) important for noninvasive medical diagnostic are introduced. The text also describes a number of diagnostic techniques such as CW polarization imaging and spectroscopy, polarization microscopy and cytometry. As a new tool for medical diagnosis, optical coherent polarization tomography is analyzed. The monograph also covers a range of biomedical applications, among them cataract and glaucoma diagnostics, glucose sensing, and the detection of bacteria.

  11. Toxicology of Biomedical Polymers

    Directory of Open Access Journals (Sweden)

    P. V. Vedanarayanan

    1987-04-01

    Full Text Available This paper deals with the various types of polymers, used in the fabrication of medical devices, their diversity of applications and toxic hazards which may arise out of their application. The potential toxicity of monomers and the various additives used in the manufacture of biomedical polymers have been discussed along with hazards which may arise out of processing of devices such as sterilization. The importance of quality control and stringent toxicity evaluation methods have been emphasised since in our country, at present, there are no regulations covering the manufacturing and marketing of medical devices. Finally the question of the general and subtle long term systemic toxicity of biomedical polymers have been brought to attention with the suggestion that this question needs to be resolved permanently by appropriate studies.

  12. Multilingual Biomedical Dictionary

    OpenAIRE

    Daumke, Philipp; Markó, Kornél; Poprat, Michael; Schulz, Stefan

    2005-01-01

    We present a unique technique to create a multilingual biomedical dictionary, based on a methodology called Morpho-Semantic indexing. Our approach closes a gap caused by the absence of free available multilingual medical dictionaries and the lack of accuracy of non-medical electronic translation tools. We first explain the underlying technology followed by a description of the dictionary interface, which makes use of a multilingual subword thesaurus and of statistical inform...

  13. Multilingual biomedical dictionary.

    Science.gov (United States)

    Daumke, Philipp; Markó, Kornél; Poprat, Michael; Schulz, Stefan

    2005-01-01

    We present a unique technique to create a multilingual biomedical dictionary, based on a methodology called Morpho-Semantic indexing. Our approach closes a gap caused by the absence of free available multilingual medical dictionaries and the lack of accuracy of non-medical electronic translation tools. We first explain the underlying technology followed by a description of the dictionary interface, which makes use of a multilingual subword thesaurus and of statistical information from a domain-specific, multilingual corpus.

  14. Toxicology of Biomedical Polymers

    OpenAIRE

    P. V. Vedanarayanan; A. C. Fernandez

    1987-01-01

    This paper deals with the various types of polymers, used in the fabrication of medical devices, their diversity of applications and toxic hazards which may arise out of their application. The potential toxicity of monomers and the various additives used in the manufacture of biomedical polymers have been discussed along with hazards which may arise out of processing of devices such as sterilization. The importance of quality control and stringent toxicity evaluation methods have been emphasi...

  15. Theriocide: Naming Animal Killing

    Directory of Open Access Journals (Sweden)

    Piers Beirne

    2014-08-01

    Full Text Available In this essay I recommend ‘theriocide’ as the name for those diverse human actions that cause the deaths of animals. Like the killing of one human by another, theriocide may be socially acceptable or unacceptable, legal or illegal. It may be intentional or unintentional and may involve active maltreatment or passive neglect. Theriocide may occur one-on-one, in small groups or in large-scale social institutions. The numerous and sometimes intersecting sites of theriocide include intensive rearing regimes; hunting and fishing; trafficking; vivisection; militarism; pollution; and human-induced climate change. If the killing of animals by humans is as harmful to them as homicide is to humans, then the proper naming of such deaths offers a remedy, however small, to the extensive privileging of human lives over those of other animals. Inevitably, the essay leads to a shocking question: Is theriocide murder?

  16. Generic names in Magnaporthales.

    Science.gov (United States)

    Zhang, Ning; Luo, Jing; Rossman, Amy Y; Aoki, Takayuki; Chuma, Izumi; Crous, Pedro W; Dean, Ralph; de Vries, Ronald P; Donofrio, Nicole; Hyde, Kevin D; Lebrun, Marc-Henri; Talbot, Nicholas J; Tharreau, Didier; Tosa, Yukio; Valent, Barbara; Wang, Zonghua; Xu, Jin-Rong

    2016-06-01

    The order Magnaporthales comprises about 200 species and includes the economically and scientifically important rice blast fungus and the take-all pathogen of cereals, as well as saprotrophs and endophytes. Recent advances in phylogenetic analyses of these fungi resulted in taxonomic revisions. In this paper we list the 28 currently accepted genera in Magnaporthales with their type species and available gene and genome resources. The polyphyletic Magnaporthe 1972 is proposed for suppression, and Pyricularia 1880 and Nakataea 1939 are recommended for protection as the generic names for the rice blast fungus and the rice stem rot fungus, respectively. The rationale for the recommended names is also provided. These recommendations are made by the Pyricularia/Magnaporthe Working Group established under the auspices of the International Commission on the Taxonomy of Fungi (ICTF). PMID:27433445

  17. Towards Experience Management for Very Small Entities

    OpenAIRE

    Ribaud, Vincent; Saliou, Philippe; Laporte, Claude

    2011-01-01

    International audience The ISO/IEC 29110 standard: Lifecycle profiles for Very Small Entities, provides several Process Reference Models applicable to the vast majority of very small entities (defined by the ISO as "an entity (enterprise, organization, department or project) having up to 25 people") which do not develop critical software and share typical situational factors. An ISO/IEC 29110 pilot project has been established between the Software Engineering group at Brest University and ...

  18. Theriocide: Naming Animal Killing

    OpenAIRE

    Piers Beirne

    2014-01-01

    In this essay I recommend ‘theriocide’ as the name for those diverse human actions that cause the deaths of animals. Like the killing of one human by another, theriocide may be socially acceptable or unacceptable, legal or illegal. It may be intentional or unintentional and may involve active maltreatment or passive neglect. Theriocide may occur one-on-one, in small groups or in large-scale social institutions. The numerous and sometimes intersecting sites of theriocide include intensive rear...

  19. Entity resolution in the web of data

    CERN Document Server

    Christophides, Vassilis; Stefanidis, Kostas

    2015-01-01

    In recent years, several knowledge bases have been built to enable large-scale knowledge sharing, but also an entity-centric Web search, mixing both structured data and text querying. These knowledge bases offer machine-readable descriptions of real-world entities, e.g., persons, places, published on the Web as Linked Data. However, due to the different information extraction tools and curation policies employed by knowledge bases, multiple, complementary and sometimes conflicting descriptions of the same real-world entities may be provided. Entity resolution aims to identify different descrip

  20. Name Signs for Hearing People

    OpenAIRE

    Liina Paales

    2011-01-01

    The article will discuss personal name signs given by members of theDeaf community to hearing people. The main categories of Estonian personal name signs’ formation will be introduced. There are four categories of personal name signs in Estonian Sign Language: 1) arbitrary (initialised) name signs; 2) descriptive name signs; 3) initialised-descriptive name signs or 4) loan/borrowedname signs.The nature of personal name signs has been considered in the context of onomastics and folkloristics. ...

  1. The Ontology for Biomedical Investigations

    OpenAIRE

    Anita Bandrowski; Ryan Brinkman; Mathias Brochhausen; Brush, Matthew H.; Bill Bug; Chibucos, Marcus C.; Kevin Clancy; Mélanie Courtot; Dirk Derom; Michel Dumontier; Liju Fan; Jennifer Fostel; Gilberto Fragoso; Frank Gibson; Alejandra Gonzalez-Beltran

    2016-01-01

    The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI re-uses ontologies that provide a representation of biomedical knowledge from the Open Biological and Biomedical Ontologies (OBO) project and adds the ability to describe how this knowledge was derived. We here describe the state of OBI and several applications that are using i...

  2. Generating Explanations for Biomedical Queries

    OpenAIRE

    Erdem, Esra; Oztok, Umut

    2013-01-01

    We introduce novel mathematical models and algorithms to generate (shortest or k different) explanations for biomedical queries, using answer set programming. We implement these algorithms and integrate them in BIOQUERY-ASP. We illustrate the usefulness of these methods with some complex biomedical queries related to drug discovery, over the biomedical knowledge resources PHARMGKB, DRUGBANK, BIOGRID, CTD, SIDER, DISEASE ONTOLOGY and ORPHADATA. To appear in Theory and Practice of Logic Program...

  3. BIMS: Biomedical Information Management System

    OpenAIRE

    Mora, Oscar; Bisbal, Jesús

    2013-01-01

    In this paper, we present BIMS (Biomedical Information Management System). BIMS is a software architecture designed to provide a flexible computational framework to manage the information needs of a wide range of biomedical research projects. The main goal is to facilitate the clinicians' job in data entry, and researcher's tasks in data management, in high data quality biomedical research projects. The BIMS architecture has been designed following the two-level modeling paradigm, a promising...

  4. Principles of Biomedical Engineering

    CERN Document Server

    Madihally, Sundararajan V

    2010-01-01

    Describing the role of engineering in medicine today, this comprehensive volume covers a wide range of the most important topics in this burgeoning field. Supported with over 145 illustrations, the book discusses bioelectrical systems, mechanical analysis of biological tissues and organs, biomaterial selection, compartmental modeling, and biomedical instrumentation. Moreover, you find a thorough treatment of the concept of using living cells in various therapeutics and diagnostics.Structured as a complete text for students with some engineering background, the book also makes a valuable refere

  5. Statistics in biomedical research

    Directory of Open Access Journals (Sweden)

    González-Manteiga, Wenceslao

    2007-06-01

    Full Text Available The discipline of biostatistics is nowadays a fundamental scientific component of biomedical, public health and health services research. Traditional and emerging areas of application include clinical trials research, observational studies, physiology, imaging, and genomics. The present article reviews the current situation of biostatistics, considering the statistical methods traditionally used in biomedical research, as well as the ongoing development of new methods in response to the new problems arising in medicine. Clearly, the successful application of statistics in biomedical research requires appropriate training of biostatisticians. This training should aim to give due consideration to emerging new areas of statistics, while at the same time retaining full coverage of the fundamentals of statistical theory and methodology. In addition, it is important that students of biostatistics receive formal training in relevant biomedical disciplines, such as epidemiology, clinical trials, molecular biology, genetics, and neuroscience.La Bioestadística es hoy en día una componente científica fundamental de la investigación en Biomedicina, salud pública y servicios de salud. Las áreas tradicionales y emergentes de aplicación incluyen ensayos clínicos, estudios observacionales, fisología, imágenes, y genómica. Este artículo repasa la situación actual de la Bioestadística, considerando los métodos estadísticos usados tradicionalmente en investigación biomédica, así como los recientes desarrollos de nuevos métodos, para dar respuesta a los nuevos problemas que surgen en Medicina. Obviamente, la aplicación fructífera de la estadística en investigación biomédica exige una formación adecuada de los bioestadísticos, formación que debería tener en cuenta las áreas emergentes en estadística, cubriendo al mismo tiempo los fundamentos de la teoría estadística y su metodología. Es importante, además, que los estudiantes de

  6. Advances in biomedical engineering

    CERN Document Server

    Brown, J H U

    1974-01-01

    Advances in Biomedical Engineering, Volume 4, is a collection of papers that deals with gas chromatography, mass spectroscopy and the analysis of minute samples, as well as the role of the government in regulating the production, usage, safety, and efficacy of medical devices. One paper reviews the use of mass spectrometry and computer technology in relation to gas-phase analytical methods based on gas chromatograph-mass spectrometer instruments and gas chromatograph-mass spectrometer-computer analytical systems. Many health practitioners, government and private health agencies, the legal prof

  7. Biomedical Sensors and Instruments

    CERN Document Server

    Tagawa, Tatsuo

    2011-01-01

    The living body is a difficult object to measure: accurate measurements of physiological signals require sensors and instruments capable of high specificity and selectivity that do not interfere with the systems under study. As a result, detailed knowledge of sensor and instrument properties is required to be able to select the "best" sensor from one of the many designed to meet these challenges. From the underlying principles to practical applications, this updated edition of Biomedical Sensors and Instruments provides an easy-to-understand introduction to the various kinds of biome

  8. Advances in biomedical engineering

    CERN Document Server

    Brown, J H U

    1973-01-01

    Advances in Biomedical Engineering, Volume 3, is a collection of papers that discusses circulatory system models, linguistics in computer usage, and clinical applications on patient monitoring. One paper describes the use of comparative models of overall circulatory mechanics that include models of the cardiac pump, of the vascular systems, and of the overall systems behavior. Another paper describes a model in processing medical language data that employs an explicit semantic structure, becoming the basis for the computer-based, artificial intelligence of the system. One paper cites studies b

  9. Biomedical photonics handbook

    CERN Document Server

    Vo-Dinh, Tuan

    2003-01-01

    1.Biomedical Photonics: A Revolution at the Interface of Science and Technology, T. Vo-DinhPHOTONICS AND TISSUE OPTICS2.Optical Properties of Tissues, J. Mobley and T. Vo-Dinh3.Light-Tissue Interactions, V.V. Tuchin 4.Theoretical Models and Algorithms in Optical Diffusion Tomography, S.J. Norton and T. Vo-DinhPHOTONIC DEVICES5.Laser Light in Biomedicine and the Life Sciences: From the Present to the Future, V.S. Letokhov6.Basic Instrumentation in Photonics, T. Vo-Dinh7.Optical Fibers and Waveguides for Medical Applications, I. Gannot and

  10. Biomedical signals and systems

    CERN Document Server

    Tranquillo, Joseph V

    2013-01-01

    Biomedical Signals and Systems is meant to accompany a one-semester undergraduate signals and systems course. It may also serve as a quick-start for graduate students or faculty interested in how signals and systems techniques can be applied to living systems. The biological nature of the examples allows for systems thinking to be applied to electrical, mechanical, fluid, chemical, thermal and even optical systems. Each chapter focuses on a topic from classic signals and systems theory: System block diagrams, mathematical models, transforms, stability, feedback, system response, control, time

  11. Advances in biomedical engineering

    CERN Document Server

    Brown, J H U

    1973-01-01

    Advances in Biomedical Engineering, Volume 2, is a collection of papers that discusses the basic sciences, the applied sciences of engineering, the medical sciences, and the delivery of health services. One paper discusses the models of adrenal cortical control, including the secretion and metabolism of cortisol (the controlled process), as well as the initiation and modulation of secretion of ACTH (the controller). Another paper discusses hospital computer systems-application problems, objective evaluation of technology, and multiple pathways for future hospital computer applications. The pos

  12. No Name: Paul Celan’s Poetics of Naming

    Directory of Open Access Journals (Sweden)

    Antti Eemeli Salminen

    2010-06-01

    Full Text Available Name is a powerful sign, and name-giving is also calling one intolanguage. Name identifies, summons and subjects. Paul Celan wasfamiliar with all these uses of name and addresses them in his poeticsand poetry. This article will discuss how poetry like Celan’s, which is heavily influenced by so many philosophical readings, could form a critique of naming,on a poetical basis towards philosophical concepts that underline problematics of name-giving in poetic text in particular.

  13. Learning multiple distributed prototypes of semantic categories for named entity recognition.

    Science.gov (United States)

    Henriksson, Aron

    2015-01-01

    The scarcity of large labelled datasets comprising clinical text that can be exploited within the paradigm of supervised machine learning creates barriers for the secondary use of data from electronic health records. It is therefore important to develop capabilities to leverage the large amounts of unlabelled data that, indeed, tend to be readily available. One technique utilises distributional semantics to create word representations in a wholly unsupervised manner and uses existing training data to learn prototypical representations of predefined semantic categories. Features describing whether a given word belongs to a certain category are then provided to the learning algorithm. It has been shown that using multiple distributional semantic models, each employing a different word order strategy, can lead to enhanced predictive performance. Here, another hyperparameter is also varied--the size of the context window--and an experimental investigation shows that this leads to further performance gains. PMID:26547986

  14. Learning multiple distributed prototypes of semantic categories for named entity recognition.

    Science.gov (United States)

    Henriksson, Aron

    2015-01-01

    The scarcity of large labelled datasets comprising clinical text that can be exploited within the paradigm of supervised machine learning creates barriers for the secondary use of data from electronic health records. It is therefore important to develop capabilities to leverage the large amounts of unlabelled data that, indeed, tend to be readily available. One technique utilises distributional semantics to create word representations in a wholly unsupervised manner and uses existing training data to learn prototypical representations of predefined semantic categories. Features describing whether a given word belongs to a certain category are then provided to the learning algorithm. It has been shown that using multiple distributional semantic models, each employing a different word order strategy, can lead to enhanced predictive performance. Here, another hyperparameter is also varied--the size of the context window--and an experimental investigation shows that this leads to further performance gains.

  15. [Cirrhotic cardiomyopathy: a specific entity].

    Science.gov (United States)

    Brondex, A; Arlès, F; Lipovac, A-S; Richecoeur, M; Bronstein, J-A

    2012-04-01

    Cirrhosis is a frequent and severe condition, which is the late stage of numerous chronic liver diseases. It is associated with major hemodynamic alterations characteristic of hyperdynamic circulation and with a series of structural, functional, electrophysiological and biological heart abnormalities termed cirrhotic cardiomyopathy. The pathogenesis of this syndrome is multifactorial. It is usually clinically latent or mild, likely because the peripheral vasodilatation significantly reduces the left ventricle afterload. However, sudden changes of hemodynamic state (vascular filling, surgical or transjugular intrahepatic porto-systemic shunts, peritoneo-venous shunts and orthotopic liver transplantation) or myocardial contractility (introduction of beta-blocker therapy) can unmask its presence, and sometimes convert latent to overt heart failure. Cirrhotic cardiomyopathy may also contribute to the pathogenesis of hepatorenal syndrome. This entity has been described recently, and its diagnostic criteria are still under debate. To date, current management recommendations are empirical, nonspecific measures. Recognition of cirrhotic cardiomyopathy depends on a high level of awareness for the presence of this syndrome, particularly in patients with advanced cirrhosis who undergo significant surgical, pharmacological or physiological stresses. PMID:22115174

  16. Penoscrotal porokeratosis: A distinct entity

    Directory of Open Access Journals (Sweden)

    Rajiv Joshi

    2015-01-01

    Full Text Available A 26-year-old man presented with five months history of redness associated with itching and burning over the scrotum and shaft of the penis with a persistent rash on those sites. There had been no response to topical steroid and antifungal creams. Clinical examination revealed a large well-circumscribed erythematous plaque with a thready raised border with a tiny groove at its summit that involved almost two-thirds of the ventral part of the shaft of the penis. Ill-defined erythema with a granular surface was seen over the anterior scrotal skin. A 4 mm punch biopsy of the plaque on the penile shaft revealed multiple cornoid lamellae located adjacent to one another. The patient was treated with topical emollients. Follow up after four months revealed almost complete resolution of the plaque on the penile shaft. Penoscrotal porokeratosis appears to be a distinct entity in the family of porokeratotic diseases, described only in young males in their twenties with involvement of the penile shaft and anterior scrotum with severe burning and itching and histologically associated with multiple cornoid lamellae. It may represent an unusual epidermal porokeratotic reaction pattern and may be a self-resolving condition.

  17. Biomedical applications of nisin.

    Science.gov (United States)

    Shin, J M; Gwak, J W; Kamarajan, P; Fenno, J C; Rickard, A H; Kapila, Y L

    2016-06-01

    Nisin is a bacteriocin produced by a group of Gram-positive bacteria that belongs to Lactococcus and Streptococcus species. Nisin is classified as a Type A (I) lantibiotic that is synthesized from mRNA and the translated peptide contains several unusual amino acids due to post-translational modifications. Over the past few decades, nisin has been used widely as a food biopreservative. Since then, many natural and genetically modified variants of nisin have been identified and studied for their unique antimicrobial properties. Nisin is FDA approved and generally regarded as a safe peptide with recognized potential for clinical use. Over the past two decades the application of nisin has been extended to biomedical fields. Studies have reported that nisin can prevent the growth of drug-resistant bacterial strains, such as methicillin-resistant Staphylococcus aureus, Streptococcus pneumoniae, Enterococci and Clostridium difficile. Nisin has now been shown to have antimicrobial activity against both Gram-positive and Gram-negative disease-associated pathogens. Nisin has been reported to have anti-biofilm properties and can work synergistically in combination with conventional therapeutic drugs. In addition, like host-defence peptides, nisin may activate the adaptive immune response and have an immunomodulatory role. Increasing evidence indicates that nisin can influence the growth of tumours and exhibit selective cytotoxicity towards cancer cells. Collectively, the application of nisin has advanced beyond its role as a food biopreservative. Thus, this review will describe and compare studies on nisin and provide insight into its future biomedical applications.

  18. 18 CFR 46.5 - Covered entities.

    Science.gov (United States)

    2010-04-01

    ... organization primarily engaged in the business of providing financial services or credit, a mutual savings bank... FOR PERSONS HOLDING INTERLOCKING POSITIONS § 46.5 Covered entities. Entities to which the general rule in § 46.4(b) applies are the following: (a) Any investment bank, bank holding company, foreign...

  19. Entity models for trigger-reaction documents

    NARCIS (Netherlands)

    M.A. Khalid; M. Marx; M.X. Makkes

    2008-01-01

    We define the notion of an entity model for a special kind of document popular on the web: an article followed by a list of reactions on that article, usually by many authors, usually inverse chronologically ordered. We call these documents trigger-reactions pairs. The entity model describes which n

  20. Entity search: building bridges between two worlds

    NARCIS (Netherlands)

    K. Balog; E. Meij; M. de Rijke

    2010-01-01

    We consider the task of entity search and examine to which extent state-of-art information retrieval (IR) and semantic web (SW) technologies are capable of answering information needs that focus on entities. We also explore the potential of combining IR with SW technologies to improve the end-to-end

  1. 31 CFR 800.211 - Entity.

    Science.gov (United States)

    2010-07-01

    ... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 800.211 Section 800.211 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF INVESTMENT... separate legal entity) operated by any one of the foregoing as a business undertaking in a...

  2. Code-first development with Entity Framework

    CERN Document Server

    Barskiy, Sergey

    2015-01-01

    This book is intended for software developers with some prior experience with the Microsoft .NET framework who want to learn how to use Entity Framework. This book will get you up and running quickly, providing many examples that illustrate all the key concepts of Entity Framework.

  3. 46 CFR 403.110 - Accounting entities.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 8 2010-10-01 2010-10-01 false Accounting entities. 403.110 Section 403.110 Shipping COAST GUARD (GREAT LAKES PILOTAGE), DEPARTMENT OF HOMELAND SECURITY GREAT LAKES PILOTAGE UNIFORM ACCOUNTING SYSTEM General § 403.110 Accounting entities. Each Association shall be a separate...

  4. A Learning-Based Approach for Biomedical Word Sense Disambiguation

    Directory of Open Access Journals (Sweden)

    Hisham Al-Mubaid

    2012-01-01

    Full Text Available In the biomedical domain, word sense ambiguity is a widely spread problem with bioinformatics research effort devoted to it being not commensurate and allowing for more development. This paper presents and evaluates a learning-based approach for sense disambiguation within the biomedical domain. The main limitation with supervised methods is the need for a corpus of manually disambiguated instances of the ambiguous words. However, the advances in automatic text annotation and tagging techniques with the help of the plethora of knowledge sources like ontologies and text literature in the biomedical domain will help lessen this limitation. The proposed method utilizes the interaction model (mutual information between the context words and the senses of the target word to induce reliable learning models for sense disambiguation. The method has been evaluated with the benchmark dataset NLM-WSD with various settings and in biomedical entity species disambiguation. The evaluation results showed that the approach is very competitive and outperforms recently reported results of other published techniques.

  5. The role of vision in the neural representation of unique entities.

    Science.gov (United States)

    Wang, Xiaoying; Peelen, Marius V; Han, Zaizhu; Caramazza, Alfonso; Bi, Yanchao

    2016-07-01

    Famous places and famous people are different from their common counterparts in that we have unique knowledge about individual items, including specific knowledge about their visual appearance and other sensory properties. Previous studies have shown that the processing of unique entities selectively activates a network of brain regions that includes the bilateral anterior temporal lobes (ATL), posterior cingulate cortex and adjacent medial precuneus (PCC/medPrec), medial prefrontal cortex (medPFC), and temporal-parietal junction (TPJ). The degree to which these regions represent visual properties associated with famous people/places is unknown. Here we compared fMRI responses in congenitally and sighted individuals to test whether visual experience contributes to the development of unique-entity responses in these regions. Names of unique entities (famous places, famous people) and generic items (daily scenes such as "bridge", face parts) were presented aurally to 13 congenitally blind and 16 sighted participants. Sighted participants additionally viewed corresponding photographs. We found that bilateral PCC/medPrec, medPFC, left TPJ, left ATL and right superior frontal gyrus were more strongly activated by pictures of unique entities compared to generic items. Importantly, all regions showed similar selectivity for unique entities in both groups when only names were presented. Furthermore, resting-state functional connectivity analysis revealed that these regions were tightly interconnected in both groups. Together, these results provide evidence for a visually-independent brain network underlying unique entity processing. PMID:27174518

  6. Early genital naming.

    Science.gov (United States)

    Fraley, M C; Nelson, E C; Wolf, A W; Lozoff, B

    1991-10-01

    To evaluate the clinical impression that young girls are given little or confusing information about their genitals, a sample of 117 mothers with 1- to 4-year-old children were asked which words for genitals, if any, they used with their children. The ethnically and socioeconomically heterogeneous sample was composed of 63 girls and 54 boys, with the average ages of 26 and 29 months, respectively. Neither boys nor girls were likely to be given a standard anatomical genital term, although many children received colorful colloquial expressions. However, girls were less likely than boys to receive a term for their genitals. Receiving names for genitals was related to certain family circumstances, such as higher parental education, exposure to adult male nudity, having a sibling of the opposite sex, and cosleeping. Pediatric health professionals have the opportunity to contribute to early sex education by conveying accurate information regarding genital terms in the course of routine physical examinations. PMID:1939685

  7. Willow plant name 'Preble'

    Science.gov (United States)

    Abrahamson, Lawrence P.; Kopp, Richard F.; Smart, Lawrence B.; Volk, Timothy A.

    2014-06-10

    A distinct female cultivar of Salix viminalis.times.(Salix sachalinensis.times.Salix miyabeana) named `Preble`, characterized by rapid stem growth producing 29% more woody biomass than the average of three current production cultivars (Salix.times.dasyclados `SV1` (unpatented), Salix sachalinensis `SX61` (unpatented), and Salix miyabeana `SX64` (unpatented)) when grown in the same field for the same length of time (three growing seasons after coppice) in two different trials in Constableville, N.Y. and Middlebury, Vt. `Preble` can be planted from dormant stem cuttings, produces multiple stems after coppice and the stem biomass can be harvested when the plant is dormant. In the spring following harvest, the plant will re-sprout very vigorously, producing new stems that can be harvested repeatedly after two to four years of growth. `Preble` displays a low incidence of rust disease and is not damaged by potato leafhoppers.

  8. Professional Identification for Biomedical Engineers

    Science.gov (United States)

    Long, Francis M.

    1973-01-01

    Discusses four methods of professional identification in biomedical engineering including registration, certification, accreditation, and possible membership qualification of the societies. Indicates that the destiny of the biomedical engineer may be under the control of a new profession, neither the medical nor the engineering. (CC)

  9. Computational intelligence in biomedical imaging

    CERN Document Server

    2014-01-01

    This book provides a comprehensive overview of the state-of-the-art computational intelligence research and technologies in biomedical images with emphasis on biomedical decision making. Biomedical imaging offers useful information on patients’ medical conditions and clues to causes of their symptoms and diseases. Biomedical images, however, provide a large number of images which physicians must interpret. Therefore, computer aids are demanded and become indispensable in physicians’ decision making. This book discusses major technical advancements and research findings in the field of computational intelligence in biomedical imaging, for example, computational intelligence in computer-aided diagnosis for breast cancer, prostate cancer, and brain disease, in lung function analysis, and in radiation therapy. The book examines technologies and studies that have reached the practical level, and those technologies that are becoming available in clinical practices in hospitals rapidly such as computational inte...

  10. MEMS biomedical implants

    Institute of Scientific and Technical Information of China (English)

    Tai Yuchong

    2012-01-01

    The field of micro-electro-mechanical systems (MEMS) has advanced tremendously for the last 20 years. Most commercially noticeably, the field has successfully advanced from pressure sensors to micro physical sensors, such as accelerometers and gyros, for handheld electronics application. In parallel, MEMS has also advanced into micro total analysis system(TAS) and/or lab-on-a-chip applications. This article would discuss a relatively new but promising future direction towards MEMS biomedical implants. Specifically, Parylene C has been explored to be used as a good MEMS implant material and will be discussed in detail. Demonstrated implant devices, such as retinal and spinal cord implants, are presented in this article.

  11. Checklists in biomedical publications

    Directory of Open Access Journals (Sweden)

    Pardal-Refoyo JL

    2013-12-01

    Full Text Available Introduction and objectives: the authors, reviewers, editors and readers must have specific tools that help them in the process of drafting, review, or reading the articles. Objective: to offer a summary of the major checklists for different types of biomedical research articles. Material and method: review literature and resources of the EQUATOR Network and adaptations in Spanish published by Medicina Clínica and Evidencias en Pediatría journals. Results: are the checklists elaborated by various working groups. (CONSORT and TREND, experimental studies for observational studies (STROBE, accuracy (STARD diagnostic studies, systematic reviews and meta-analyses (PRISMA and for studies to improve the quality (SQUIRE. Conclusions: the use of checklists help to improve the quality of articles and help to authors, reviewers, to the editor and readers in the development and understanding of the content.

  12. Biomedical applications of nisin.

    Science.gov (United States)

    Shin, J M; Gwak, J W; Kamarajan, P; Fenno, J C; Rickard, A H; Kapila, Y L

    2016-06-01

    Nisin is a bacteriocin produced by a group of Gram-positive bacteria that belongs to Lactococcus and Streptococcus species. Nisin is classified as a Type A (I) lantibiotic that is synthesized from mRNA and the translated peptide contains several unusual amino acids due to post-translational modifications. Over the past few decades, nisin has been used widely as a food biopreservative. Since then, many natural and genetically modified variants of nisin have been identified and studied for their unique antimicrobial properties. Nisin is FDA approved and generally regarded as a safe peptide with recognized potential for clinical use. Over the past two decades the application of nisin has been extended to biomedical fields. Studies have reported that nisin can prevent the growth of drug-resistant bacterial strains, such as methicillin-resistant Staphylococcus aureus, Streptococcus pneumoniae, Enterococci and Clostridium difficile. Nisin has now been shown to have antimicrobial activity against both Gram-positive and Gram-negative disease-associated pathogens. Nisin has been reported to have anti-biofilm properties and can work synergistically in combination with conventional therapeutic drugs. In addition, like host-defence peptides, nisin may activate the adaptive immune response and have an immunomodulatory role. Increasing evidence indicates that nisin can influence the growth of tumours and exhibit selective cytotoxicity towards cancer cells. Collectively, the application of nisin has advanced beyond its role as a food biopreservative. Thus, this review will describe and compare studies on nisin and provide insight into its future biomedical applications. PMID:26678028

  13. History of NAMES Conferences

    Science.gov (United States)

    Filippov, Lev

    2013-03-01

    Franco-Russian NAMES Seminars are held for the purpose of reviewing and discussing actual developments in the field of materials science by researchers from Russia and from the Lorraine Region of France. In more precise terms, as set down by the organizers of the seminar (the Moscow Institute of Steel and Alloys and the Institut National Polytechnique de Lorraine), the mission of the seminars is as follows: the development of scientific and academic contacts, giving a new impulse to joint fundamental research and technology transfer the development and consolidation of scientific, technical and business collaboration between the regions of Russia and Lorraine through direct contact between the universities, institutes and companies involved The first Seminar took place on 27-29 October 2004, at the Institut National Polytechnique de Lorraine (on the premises of the Ecole Européenne d'Ingénieurs en Génie des Matériaux, Nancy, France). The number, variety and quality of the oral presentations given and posters exhibited at the first Seminar were of high international standard. 30 oral presentations were given and 72 posters were presented by 19 participants from five universities and three institutes of the Russian Academy of Sciences participants from 11 laboratories of three universities from the Lorraine region three industrial companies, including the European Aeronautic Defence and Space Company—EADS, and ANVAR (Agence Nationale de Valorisation de la Recherche) From 2005 onwards, it was decided to organize the Seminar every other year. The second Seminar convened on the occasion of the 75th Anniversary of the Moscow Institute of Steel and Alloys on 10-12 November 2005 in Moscow, Russia. The seminar demonstrated the efficiency of the scientific partnership founded between the research groups of Russia and France during the first Seminar. High productivity of the Franco-Russian scientific cooperation on the basis of the Research-Educational Franco

  14. 12 CFR 602.24 - Responses to demands served on non-FCA employees or entities.

    Science.gov (United States)

    2010-01-01

    ... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Responses to demands served on non-FCA... Not a Named Party § 602.24 Responses to demands served on non-FCA employees or entities. If you are not an employee and are served with a demand or a subpoena in a legal proceeding directing you...

  15. 47 CFR 22.229 - Designated entities.

    Science.gov (United States)

    2010-10-01

    ... entrepreneur is an entity that, together with its controlling interests and affiliates, has average annual... entrepreneur, as defined in this section, or a consortium of entrepreneurs may use the bidding credit...

  16. 47 CFR 101.538 - Designated entities.

    Science.gov (United States)

    2010-10-01

    ... entrepreneur is an entity that, together with its controlling interests and affiliates, has average gross... entrepreneur, as defined in this section, or a consortium of entrepreneurs may use the bidding credit...

  17. The National Map - geographic names

    Science.gov (United States)

    Yost, Lou; Carswell, William J.

    2009-01-01

    The Geographic Names Information System (GNIS), developed by the U.S. Geological Survey (USGS) in cooperation with the U.S. Board on Geographic Names (BGN), contains information about the official names for places, features, and areas in the 50 States, the District of Columbia, the territories and outlying areas of the United States, including Antarctica. It is the geographic names component of The National Map. The BGN maintains working relationships with State names authorities to cooperate in achieving the standardization of geographic names. The GNIS contains records on more than 2 million geographic names in the United States - from populated places, schools, reservoirs, and parks to streams, valleys, springs, ridges, and every feature type except roads and highways. Entries include information such as the federally-recognized name and variant names and spellings for the feature; former names; the status of the name as determined by the BGN; county or counties in which each named feature is located; geographic coordinates that locate the approximate center of an aerial feature or the mouth and source of a linear feature, such as a stream; name of the cell of the USGS topographic map or maps on which the feature may appear; elevation figures derived from the National Elevation Dataset; bibliographic code for the source of the name; BGN decision dates and historical information are available for some features. Data from the GNIS are used for emergency preparedness, mapmaking, local and regional planning, service delivery routing, marketing, site selection, environmental analysis, genealogical research, and other applications.

  18. Constraint-satisfaction inference for entity recognition

    OpenAIRE

    Canisius, S.V.M.; Bosch, A.P.J. van den; Daelemans, W.M.P.

    2011-01-01

    One approach to QA answering is to match a question to candidate answers in a background corpus based on semantic overlap, possibly in combination with other levels of matching, such as lexical vector space similarity and syntactic similarity. While the computation of deep semantic similarity is as yet generally infeasible, semantic analysis in a specific domain is feasible, if the analysis is constrained to finding domain-specific entities and basic relations. Finding domain-specific entitie...

  19. IMPORTANCE OF INTERNAL AUDIT WITHIN AN ENTITY

    Directory of Open Access Journals (Sweden)

    Corina-Maria, DUCU

    2013-12-01

    Full Text Available The efficient operation of the entity in the current economic conditions involves the practical existence of an internal audit department which aims to plan and conduct various audit missions. The implementation of this function increases the efficiency to attract and use resources, as well as the effectiveness of the processes effectuated in order to improve performance. Moreover, today, the internal audit is a powerful tool to assist management in managing the operations within the entity.

  20. Shape Similarity Measures of Linear Entities

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    The essential of feature matching technology lies in how to measure the similarity of spatial entities.Among all the possible similarity measures,the shape similarity measure is one of the most important measures because it is easy to collect the necessary parameters and it is also well matched with the human intuition.In this paper a new shape similarity measure of linear entities based on the differences of direction change along each line is presented and its effectiveness is illustrated.

  1. Management analysis of the selected business entity

    OpenAIRE

    Julie Zelená

    2007-01-01

    The fundamental practical contribution of my article is the completion of a management model of claim turnover whereof its implementation enables to enhance the productive force of the business entity and prevents the occurrence of a secondary insolvency of the enterprise. The secondary insolvency is forming an up-to-date problem of the current business entities and is often a reason for the occurrence of insolvency having its impacts in the field of commercial as well as criminal law. On the...

  2. Biomedical engineering - A means to add new dimension to medicine and research

    Science.gov (United States)

    Doerr, D. F.

    1992-01-01

    Biomedical engineering is an evolving science that seeks to insert technically oriented and trained personnel to assist medical professionals in solving technological problems in the pursuit of innovations in the delivery of health care. Consequently, engineering solutions are brought to bear on problems that previously were outside the training of physicians and beyond the understanding or appreciation of the conventionally educated electrical or mechanical engineers. This physician/scientist/engineer team has a capability to extend medicine and research far beyond the capability of a single entity operating alone. How biomedical engineering has added a new dimension to medical science at the Kennedy Space Center is described.

  3. Landscape Analysis of Geographical Names in Hubei Province, China

    Directory of Open Access Journals (Sweden)

    Xixi Chen

    2014-12-01

    Full Text Available Hubei Province is the hub of communications in central China, which directly determines its strategic position in the country’s development. Additionally, Hubei Province is well-known for its diverse landforms, including mountains, hills, mounds and plains. This area is called “The Province of Thousand Lakes” due to the abundance of water resources. Geographical names are exclusive names given to physical or anthropogenic geographic entities at specific spatial locations and are important signs by which humans understand natural and human activities. In this study, geographic information systems (GIS technology is adopted to establish a geodatabase of geographical names with particular characteristics in Hubei Province and extract certain geomorphologic and environmental factors. We carry out landscape analysis of mountain-related geographical names and water-related geographical names respectively. In the end, we calculate the information entropy of geographical names of each county to describe the diversity and inhomogeneity of place names in Hubei province. Our study demonstrates that geographical names represent responses to the cultural landscape and physical environment. The geographical names are more interesting in specific landscapes, such as mountains and rivers.

  4. Construction of an annotated corpus to support biomedical information extraction

    Directory of Open Access Journals (Sweden)

    McNaught John

    2009-10-01

    Full Text Available Abstract Background Information Extraction (IE is a component of text mining that facilitates knowledge discovery by automatically locating instances of interesting biomedical events from huge document collections. As events are usually centred on verbs and nominalised verbs, understanding the syntactic and semantic behaviour of these words is highly important. Corpora annotated with information concerning this behaviour can constitute a valuable resource in the training of IE components and resources. Results We have defined a new scheme for annotating sentence-bound gene regulation events, centred on both verbs and nominalised verbs. For each event instance, all participants (arguments in the same sentence are identified and assigned a semantic role from a rich set of 13 roles tailored to biomedical research articles, together with a biological concept type linked to the Gene Regulation Ontology. To our knowledge, our scheme is unique within the biomedical field in terms of the range of event arguments identified. Using the scheme, we have created the Gene Regulation Event Corpus (GREC, consisting of 240 MEDLINE abstracts, in which events relating to gene regulation and expression have been annotated by biologists. A novel method of evaluating various different facets of the annotation task showed that average inter-annotator agreement rates fall within the range of 66% - 90%. Conclusion The GREC is a unique resource within the biomedical field, in that it annotates not only core relationships between entities, but also a range of other important details about these relationships, e.g., location, temporal, manner and environmental conditions. As such, it is specifically designed to support bio-specific tool and resource development. It has already been used to acquire semantic frames for inclusion within the BioLexicon (a lexical, terminological resource to aid biomedical text mining. Initial experiments have also shown that the corpus may

  5. Molecular Biomedical Imaging Laboratory (MBIL)

    Data.gov (United States)

    Federal Laboratory Consortium — The Molecular Biomedical Imaging Laboratory (MBIL) is adjacent-a nd has access-to the Department of Radiology and Imaging Sciences clinical imaging facilities. MBIL...

  6. New Directions for Biomedical Engineering

    Science.gov (United States)

    Plonsey, Robert

    1973-01-01

    Discusses the definition of "biomedical engineering" and the development of educational programs in the field. Includes detailed descriptions of the roles of bioengineers, medical engineers, and chemical engineers. (CC)

  7. No Name,No Game

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    China vows to protect minors from online game addictions and other Internet scams with a real-name registration system online gamers of all ages in Chinacan forget about completing quests or shooting virtual enemies without registering their real names

  8. John Glenn Biomedical Engineering Consortium

    Science.gov (United States)

    Nall, Marsha

    2004-01-01

    The John Glenn Biomedical Engineering Consortium is an inter-institutional research and technology development, beginning with ten projects in FY02 that are aimed at applying GRC expertise in fluid physics and sensor development with local biomedical expertise to mitigate the risks of space flight on the health, safety, and performance of astronauts. It is anticipated that several new technologies will be developed that are applicable to both medical needs in space and on earth.

  9. Modified chitosans for biomedical applications

    OpenAIRE

    Yalınca, Zülal

    2013-01-01

    ABSTRACT: The subject of this thesis is the exploration of the suitability of chitosan and some of its derivatives for some chosen biomedical applications. Chitosan-graft-poly (N-vinyl imidazole), Chitosan-tripolyphosphate and ascorbyl chitosan were synthesized and characterized for specific biomedical applications in line with their chemical functionalities. Chitosan-graft-poly (N-vinyl imidazole), Chi-graft-PNVI, was synthesized by two methods; via an N-protection route and without N-pr...

  10. Biomedical engineer: an international job.

    Science.gov (United States)

    Crolet, Jean-Marie

    2007-01-01

    Biomedical engineer is an international job for several reasons and it means that the knowledge of at least one foreign language is a necessity. A geographical and structural analysis of the biomedical sector concludes to the teaching of a second foreign language. But in spite of the presence of adequate means, it is not possible for us for the moment to set up such a teaching. This paper presents the solution we have chosen in the framework of Erasmus exchanges.

  11. BIMS: Biomedical Information Management System

    OpenAIRE

    Mora Pérez, Oscar

    2009-01-01

    This final year project presents the design principles and prototype implementation of BIMS (Biomedical Information Management System), a flexible software system which provides an infrastructure to manage all information required by biomedical research projects.The BIMS project was initiated with the motivation to solve several limitations in medical data acquisition of some research projects, in which Universitat Pompeu Fabra takes part. These limitations,based on the lack of control mechan...

  12. Hydroxyapatite coatings for biomedical applications

    CERN Document Server

    Zhang, Sam

    2013-01-01

    Hydroxyapatite coatings are of great importance in the biological and biomedical coatings fields, especially in the current era of nanotechnology and bioapplications. With a bonelike structure that promotes osseointegration, hydroxyapatite coating can be applied to otherwise bioinactive implants to make their surface bioactive, thus achieving faster healing and recovery. In addition to applications in orthopedic and dental implants, this coating can also be used in drug delivery. Hydroxyapatite Coatings for Biomedical Applications explores developments in the processing and property characteri

  13. Mining Java Class Naming Conventions

    OpenAIRE

    Butler, Simon; Wermelinger, Michel; Yu, Yijun; Sharp, Helen

    2011-01-01

    Class names represent the concepts implemented in object-oriented source code and are key elements in program comprehension and, thus, software maintenance. Programming conventions often state that class names should be noun-phrases, but there is little further guidance for developers on the composition of class names. Other researchers have observed that the majority of Java class identifier names are composed of one or more nouns preceded, optionally, by one or more adjectives. However, no ...

  14. The Utility of File Names

    OpenAIRE

    Ellard, Daniel; Ledlie, Jonathan; Seltzer, Margo I.

    2003-01-01

    For typical workloads and file naming conventions, the size, lifespan, read/write ratio, and access pattern of nearly all files in a file system are accurately predicted by the name given to the file when it is created. We discuss some name-related properties observed in three contemporary NFS workloads, and present a method for automatically creating name-based models to predict interesting file properties of new files, and analyze the accuracy of these models for our workloads. Finally, we ...

  15. Can You Say My Name?

    DEFF Research Database (Denmark)

    Erz, Antonia; Christensen, Bo T.

    Whereas brand name research has focused on the semantic meaning or sounds of names, processing fluency lends further support to the idea that meaning goes beyond semantics. Extant research has shown that phonological fluency, i.e., the ease or difficulty with which people pronounce names, can...

  16. A family of names : rune-names and ogam-names and their relation to alphabet letter-names

    NARCIS (Netherlands)

    Griffiths, Alan

    2013-01-01

    The current consensus is that vernacular names assigned to the runes of the Germanic fuþark and to Irish ogam characters are indigenous creations independent of Mediterranean alphabet traditions. I propose, however, that ogam-names are based on interpretations of Hebrew, Greek or Latin letter-names

  17. Name Disambiguation from link data in a collaboration graph using temporal and topological features

    OpenAIRE

    Zhang, Baichuan; Saha, Tanay Kumar; Hasan, Mohammad Al

    2014-01-01

    In a social community, multiple persons may share the same name, phone number or some other identifying attributes. This, along with other phenomena, such as name abbreviation, name misspelling, and human error leads to erroneous aggregation of records of multiple persons under a single reference. Such mistakes affect the performance of document retrieval, web search, database integration, and more importantly, improper attribution of credit (or blame). The task of entity disambiguation parti...

  18. EPONYMY BASED ON NAMES OF COMPANIES

    Directory of Open Access Journals (Sweden)

    Éva Kovács

    2016-03-01

    Full Text Available As is generally defined, eponymy, one of the word-formation processes refers to the derivation of a name of a city, country, era, institution, or other place or thing from that of a person such as sandwich, wellington, mackintosh or cardigan. Eponymy can be classified in several ways, some refer to foods (Pizza Margaritha, diseases (Alzheimer disease, places (Washington, scientific laws (Archimedes’s principle and sport terms (Axel jump, whereas others indicate trademarks, brand names (aspirin, prizes, awards (Nobel Prize, inventions (Rubic’s Cube, ideologies (Darwinism, colleges, universities (Stanford University and companies (Ford. The present paper discusses eponyms which denote companies based on the name of their founder(s (e.g. Porsche, Siemens, Gucci, Campari, Cadbury, McDonald’s and Walt Disney, etc. by revealing what kind of a metonymic relationship is manifested in them. Cognitive linguists, such as Lakoff and Johnson (1980, Radden and Kövecses (1999 and Kövecses (2002 state that metonymy is essentially a conceptual phenomenon, in which one conceptual entity, the vehicle, provides mental access to another conceptual entity, the target, within the same idealized cognitive model. In fact, metonymy is part of our everyday way of thinking, and is grounded in experience. Common metonymies include PRODUCER FOR PRODUCT (Pass me the Shakespeare on the top shelf., PLACE FOR EVENT (Iraq nearly cost Tony Blair the premiership, PLACE FOR INSTITUTION (Downing Street refused comment., PART FOR THE WHOLE (She’s not just a pretty face., WHOLE FOR THE PART (England beat Australia in the 2003 Rugby World Cup final. and EFFECT FOR CAUSE (He has a long face.. Following the cognitive approach to metonyms, I tentatively suggest that the metonymy PRODUCER FOR THE PRODUCT can be observed in the case of car makes, products of famous fashion houses, cosmetics and drinks as is illustrated by examples like He’s bought a Ferrari. I ate a McDonald or

  19. PLANT NAMES WHICH CREATED WITH ETHNIC NAMING OR GROWN/BROUGHT GEOGRAPHY NAMING

    Directory of Open Access Journals (Sweden)

    İlhan UÇAR

    2013-04-01

    Full Text Available Mankind preferred naming, using and defining plants because of living together with nature. Plants which were the closest living creature to the human after their species had been renamed in different ways throughout history. While these namings were being done, names of the organs, animal names, character names, numbers, names of various diseases had been used. Benefiting from plants grown/brought geography or ethnic factors is another useful way in naming of plants. The method being followed about consisting terms of plant give information about the place where the plant was grown in and give some hints about language structure of the region.Using grown/brought geography of plants or benefiting of ethnic factors in naming discovered the usage in generation of the terms such as continental names Africa, America, Asia, Europe; country names like Germany, Angola, Arabia, Brazil, Algeria, China, India, Netherlands, Spain, Sweden, Cyprus, Manchuria, Mexico, Egypt, Syria, Turkey, Yemen, New Zeland; city names like Adana, Adıyaman, Amasya, Ankara, Antep, Azov, Bursa, Çanakkale, Diyarbakır, Crete, Halep, Isparta, İstanbul, İzmir, Karaman, Maraş, Medine, Mekke, Trabzon, Van, Yalova.Variety of notion clutter in the plant terminology is a continuous process starting from the first Turkish monuments to present. In this process, some of the plant names created with Grown/Brought Geography or ethnic naming draws attention.

  20. A Multi-Entity Field Approximation to determine the source location of multiple atmospheric contaminant releases

    Science.gov (United States)

    Annunzio, Andrew J.; Young, George S.; Haupt, Sue Ellen

    2012-12-01

    In the event of an accidental or intentional contaminant release, it is imperative to locate the source of the contaminant for use in hazard prediction models. In some situations more than a single contaminant release will be present, which becomes a complicating factor when contaminants from these releases significantly overlap. Here we present a Lagrangian approach to determine the source locations of multiple contaminant releases. For this approach, we assume that the concentration field is approximated by a superposition of contaminant entities, where an entity is a discrete object; namely a puff for an instantaneous release and a plume for a continuous release. The state of each entity is inferred from surface observations of the contaminant, and extrapolation of each entity's state provides an estimate of the contaminant source locations. We call this method a Multi-Entity Field Approximation (MEFA) because together the entities' concentration fields sum to approximate the observed concentration field. In this work, we outline the MEFA process for both instantaneous and continuous contaminant releases using data from two FUSION Field Trial 2007 (FFT07) Trials where contaminant fields from multiple contaminant releases overlap close to the source location.

  1. RPCs in biomedical applications

    Energy Technology Data Exchange (ETDEWEB)

    Belli, G. [Dipartimento di Fisica Nucleare e Teorica and Sezione INFN, via A. Bassi 6, 27100 Pavia (Italy); De Vecchi, C. [Dipartimento di Fisica Nucleare e Teorica and Sezione INFN, via A. Bassi 6, 27100 Pavia (Italy); Giroletti, E. [Dipartimento di Fisica Nucleare e Teorica and Sezione INFN, via A. Bassi 6, 27100 Pavia (Italy); Guida, R. [Dipartimento di Fisica Nucleare e Teorica and Sezione INFN, via A. Bassi 6, 27100 Pavia (Italy); Musitelli, G. [Dipartimento di Fisica Nucleare e Teorica and Sezione INFN, via A. Bassi 6, 27100 Pavia (Italy); Nardo, R. [Dipartimento di Fisica Nucleare e Teorica and Sezione INFN, via A. Bassi 6, 27100 Pavia (Italy); Necchi, M.M. [Dipartimento di Fisica Nucleare e Teorica and Sezione INFN, via A. Bassi 6, 27100 Pavia (Italy); Pagano, D. [Dipartimento di Fisica Nucleare e Teorica and Sezione INFN, via A. Bassi 6, 27100 Pavia (Italy); Ratti, S.P. [Dipartimento di Fisica Nucleare e Teorica and Sezione INFN, via A. Bassi 6, 27100 Pavia (Italy); Sani, G. [Dipartimento di Fisica Nucleare e Teorica and Sezione INFN, via A. Bassi 6, 27100 Pavia (Italy); Vicini, A. [Dipartimento di Fisica Nucleare e Teorica and Sezione INFN, via A. Bassi 6, 27100 Pavia (Italy); Vitulo, P. [Dipartimento di Fisica Nucleare e Teorica and Sezione INFN, via A. Bassi 6, 27100 Pavia (Italy); Viviani, C. [Dipartimento di Fisica Nucleare e Teorica and Sezione INFN, via A. Bassi 6, 27100 Pavia (Italy)

    2006-08-15

    We are studying possible applications of Resistive Plate Chambers (RPCs) in the biomedical domain such as Positron Emission Tomography (PET). The use of RPCs in PET can provide several improvements on the usual scintillation-based detectors. The most striking features are the extremely good spatial and time resolutions. They can be as low as 50 {mu}m and 25 ps respectively, to be compared to the much higher intrinsic limits in bulk detectors. Much efforts have been made to investigate suitable materials to make RPCs sensitive to 511 keV photons. For this reason, we are studying different types of coating employing high Z materials with proper electrical resistivity. Later investigations explored the possibility of coating glass electrodes by mean of serigraphy techniques, employing oxide based mixtures with a high density of high Z materials; the efficiency is strongly dependent on its thickness and it reaches a maximum for a characteristic value that is a function of the compound (usually a few hundred microns). The most promising mixtures seem to be PbO, Bi{sub 2}O{sub 3} and Tl{sub 2}O. Preliminary gamma efficiency measurements for a Multigap RPC prototype (MRPC) are presented as well as simulations using GEANT4-based framework. The MRPC has 5 gas gaps; their spacings are kept by 0.3 mm diameter nylon fishing line, electrodes are made of thin glasses (1 mm for the outer electrodes, 0.15-0.4 mm for the inner ones). The detector is enclosed in a metallic gas-tight box, filled with a C{sub 2}H{sub 2}F{sub 4} 92.5%, SF{sub 6} 2.5%, C{sub 4}H{sub 10} 5% mixture. Different gas mixtures are being studied increasing the SF6 percentage and results of efficiency as a function of the new mixtures will be presented.

  2. RPCs in biomedical applications

    Science.gov (United States)

    Belli, G.; De Vecchi, C.; Giroletti, E.; Guida, R.; Musitelli, G.; Nardò, R.; Necchi, M. M.; Pagano, D.; Ratti, S. P.; Sani, G.; Vicini, A.; Vitulo, P.; Viviani, C.

    2006-08-01

    We are studying possible applications of Resistive Plate Chambers (RPCs) in the biomedical domain such as Positron Emission Tomography (PET). The use of RPCs in PET can provide several improvements on the usual scintillation-based detectors. The most striking features are the extremely good spatial and time resolutions. They can be as low as 50 μm and 25 ps respectively, to be compared to the much higher intrinsic limits in bulk detectors. Much efforts have been made to investigate suitable materials to make RPCs sensitive to 511 keV photons. For this reason, we are studying different types of coating employing high Z materials with proper electrical resistivity. Later investigations explored the possibility of coating glass electrodes by mean of serigraphy techniques, employing oxide based mixtures with a high density of high Z materials; the efficiency is strongly dependent on its thickness and it reaches a maximum for a characteristic value that is a function of the compound (usually a few hundred microns). The most promising mixtures seem to be PbO, Bi 2O 3 and Tl 2O. Preliminary gamma efficiency measurements for a Multigap RPC prototype (MRPC) are presented as well as simulations using GEANT4-based framework. The MRPC has 5 gas gaps; their spacings are kept by 0.3 mm diameter nylon fishing line, electrodes are made of thin glasses (1 mm for the outer electrodes, 0.15-0.4 mm for the inner ones). The detector is enclosed in a metallic gas-tight box, filled with a C 2H 2F 4 92.5%, SF 6 2.5%, C 4H 10 5% mixture. Different gas mixtures are being studied increasing the SF6 percentage and results of efficiency as a function of the new mixtures will be presented.

  3. Big Data and Biomedical Informatics: A Challenging Opportunity

    OpenAIRE

    Bellazzi, Riccardo

    2014-01-01

    Big data are receiving an increasing attention in biomedicine and healthcare. It is therefore important to understand the reason why big data are assuming a crucial role for the biomedical informatics community. The capability of handling big data is becoming an enabler to carry out unprecedented research studies and to implement new models of healthcare delivery. Therefore, it is first necessary to deeply understand the four elements that constitute big data, namely Volume, Variety, Velocity...

  4. Aboriginal Placenames : Naming and re-naming the Australian landscape

    OpenAIRE

    Hercus, Luise; Koch, Harold

    2009-01-01

    Aboriginal approaches to the naming of places across Australia differ radically from the official introduced Anglo-Australian system. However, many of these earlier names have been incorporated into contemporary nomenclature, with considerable reinterpretations of their function and form. Recently, state jurisdictions have encouraged the adoption of a greater number of Indigenous names, sometimes alongside the accepted Anglo-Australian terms, around Sydney Harbour, for example. In some cases,...

  5. Data Partitioning for Parallel Entity Matching

    CERN Document Server

    Kirsten, Toralf; Hartung, Michael; Groß, Anika; Köpcke, Hanna; Rahm, Erhard

    2010-01-01

    Entity matching is an important and difficult step for integrating web data. To reduce the typically high execution time for matching we investigate how we can perform entity matching in parallel on a distributed infrastructure. We propose different strategies to partition the input data and generate multiple match tasks that can be independently executed. One of our strategies supports both, blocking to reduce the search space for matching and parallel matching to improve efficiency. Special attention is given to the number and size of data partitions as they impact the overall communication overhead and memory requirements of individual match tasks. We have developed a service-based distributed infrastructure for the parallel execution of match workflows. We evaluate our approach in detail for different match strategies for matching real-world product data of different web shops. We also consider caching of in-put entities and affinity-based scheduling of match tasks.

  6. Improving Entity Resolution with Global Constraints

    CERN Document Server

    Gemmell, Jim; Chandra, Ashok K

    2011-01-01

    Some of the greatest advances in web search have come from leveraging socio-economic properties of online user behavior. Past advances include PageRank, anchor text, hubs-authorities, and TF-IDF. In this paper, we investigate another socio-economic property that, to our knowledge, has not yet been exploited: sites that create lists of entities, such as IMDB and Netflix, have an incentive to avoid gratuitous duplicates. We leverage this property to resolve entities across the different web sites, and find that we can obtain substantial improvements in resolution accuracy. This improvement in accuracy also translates into robustness, which often reduces the amount of training data that must be labeled for comparing entities across many sites. Furthermore, the technique provides robustness when resolving sites that have some duplicates, even without first removing these duplicates. We present algorithms with very strong precision and recall, and show that max weight matching, while appearing to be a natural choi...

  7. NetiNeti: discovery of scientific names from text using machine learning methods

    Directory of Open Access Journals (Sweden)

    Akella Lakshmi

    2012-08-01

    Full Text Available Abstract Background A scientific name for an organism can be associated with almost all biological data. Name identification is an important step in many text mining tasks aiming to extract useful information from biological, biomedical and biodiversity text sources. A scientific name acts as an important metadata element to link biological information. Results We present NetiNeti (Name Extraction from Textual Information-Name Extraction for Taxonomic Indexing, a machine learning based approach for recognition of scientific names including the discovery of new species names from text that will also handle misspellings, OCR errors and other variations in names. The system generates candidate names using rules for scientific names and applies probabilistic machine learning methods to classify names based on structural features of candidate names and features derived from their contexts. NetiNeti can also disambiguate scientific names from other names using the contextual information. We evaluated NetiNeti on legacy biodiversity texts and biomedical literature (MEDLINE. NetiNeti performs better (precision = 98.9% and recall = 70.5% compared to a popular dictionary based approach (precision = 97.5% and recall = 54.3% on a 600-page biodiversity book that was manually marked by an annotator. On a small set of PubMed Central’s full text articles annotated with scientific names, the precision and recall values are 98.5% and 96.2% respectively. NetiNeti found more than 190,000 unique binomial and trinomial names in more than 1,880,000 PubMed records when used on the full MEDLINE database. NetiNeti also successfully identifies almost all of the new species names mentioned within web pages. Conclusions We present NetiNeti, a machine learning based approach for identification and discovery of scientific names. The system implementing the approach can be accessed at http://namefinding.ubio.org.

  8. A Relation Extraction Framework for Biomedical Text Using Hybrid Feature Set.

    Science.gov (United States)

    Muzaffar, Abdul Wahab; Azam, Farooque; Qamar, Usman

    2015-01-01

    The information extraction from unstructured text segments is a complex task. Although manual information extraction often produces the best results, it is harder to manage biomedical data extraction manually because of the exponential increase in data size. Thus, there is a need for automatic tools and techniques for information extraction in biomedical text mining. Relation extraction is a significant area under biomedical information extraction that has gained much importance in the last two decades. A lot of work has been done on biomedical relation extraction focusing on rule-based and machine learning techniques. In the last decade, the focus has changed to hybrid approaches showing better results. This research presents a hybrid feature set for classification of relations between biomedical entities. The main contribution of this research is done in the semantic feature set where verb phrases are ranked using Unified Medical Language System (UMLS) and a ranking algorithm. Support Vector Machine and Naïve Bayes, the two effective machine learning techniques, are used to classify these relations. Our approach has been validated on the standard biomedical text corpus obtained from MEDLINE 2001. Conclusively, it can be articulated that our framework outperforms all state-of-the-art approaches used for relation extraction on the same corpus.

  9. A Relation Extraction Framework for Biomedical Text Using Hybrid Feature Set

    Directory of Open Access Journals (Sweden)

    Abdul Wahab Muzaffar

    2015-01-01

    Full Text Available The information extraction from unstructured text segments is a complex task. Although manual information extraction often produces the best results, it is harder to manage biomedical data extraction manually because of the exponential increase in data size. Thus, there is a need for automatic tools and techniques for information extraction in biomedical text mining. Relation extraction is a significant area under biomedical information extraction that has gained much importance in the last two decades. A lot of work has been done on biomedical relation extraction focusing on rule-based and machine learning techniques. In the last decade, the focus has changed to hybrid approaches showing better results. This research presents a hybrid feature set for classification of relations between biomedical entities. The main contribution of this research is done in the semantic feature set where verb phrases are ranked using Unified Medical Language System (UMLS and a ranking algorithm. Support Vector Machine and Naïve Bayes, the two effective machine learning techniques, are used to classify these relations. Our approach has been validated on the standard biomedical text corpus obtained from MEDLINE 2001. Conclusively, it can be articulated that our framework outperforms all state-of-the-art approaches used for relation extraction on the same corpus.

  10. Awareness of Entities, Activities and Contexts in Ambient Systems

    DEFF Research Database (Denmark)

    Kristensen, Bent Bruun

    2013-01-01

    Ambient systems are modeled by entities, activities and contexts, where entities exist in contexts and engage in activities. A context supports a dynamic collection of entities by services and offers awareness information about the entities. Activities also exist in contexts and model ongoing...

  11. The biomedical discourse relation bank

    Directory of Open Access Journals (Sweden)

    Joshi Aravind

    2011-05-01

    Full Text Available Abstract Background Identification of discourse relations, such as causal and contrastive relations, between situations mentioned in text is an important task for biomedical text-mining. A biomedical text corpus annotated with discourse relations would be very useful for developing and evaluating methods for biomedical discourse processing. However, little effort has been made to develop such an annotated resource. Results We have developed the Biomedical Discourse Relation Bank (BioDRB, in which we have annotated explicit and implicit discourse relations in 24 open-access full-text biomedical articles from the GENIA corpus. Guidelines for the annotation were adapted from the Penn Discourse TreeBank (PDTB, which has discourse relations annotated over open-domain news articles. We introduced new conventions and modifications to the sense classification. We report reliable inter-annotator agreement of over 80% for all sub-tasks. Experiments for identifying the sense of explicit discourse connectives show the connective itself as a highly reliable indicator for coarse sense classification (accuracy 90.9% and F1 score 0.89. These results are comparable to results obtained with the same classifier on the PDTB data. With more refined sense classification, there is degradation in performance (accuracy 69.2% and F1 score 0.28, mainly due to sparsity in the data. The size of the corpus was found to be sufficient for identifying the sense of explicit connectives, with classifier performance stabilizing at about 1900 training instances. Finally, the classifier performs poorly when trained on PDTB and tested on BioDRB (accuracy 54.5% and F1 score 0.57. Conclusion Our work shows that discourse relations can be reliably annotated in biomedical text. Coarse sense disambiguation of explicit connectives can be done with high reliability by using just the connective as a feature, but more refined sense classification requires either richer features or more

  12. Ranking Entities in Networks via Lefschetz Duality

    DEFF Research Database (Denmark)

    Aabrandt, Andreas; Hansen, Vagn Lundsgaard; Poulsen, Bjarne;

    2014-01-01

    then be ranked according to how essential their positions are in the network by considering the effect of their respective absences. Defining a ranking of a network which takes the individual position of each entity into account has the purpose of assigning different roles to the entities, e.g. agents......In the theory of communication it is essential that agents are able to exchange information. This fact is closely related to the study of connected spaces in topology. A communication network may be modelled as a topological space such that agents can communicate if and only if they belong...

  13. Functionalized carbon nanotubes: biomedical applications

    Directory of Open Access Journals (Sweden)

    Vardharajula S

    2012-10-01

    Full Text Available Sandhya Vardharajula,1 Sk Z Ali,2 Pooja M Tiwari,1 Erdal Eroğlu,1 Komal Vig,1 Vida A Dennis,1 Shree R Singh11Center for NanoBiotechnology and Life Sciences Research, Alabama State University, Montgomery, AL, USA; 2Department of Microbiology, Osmania University, Hyderabad, IndiaAbstract: Carbon nanotubes (CNTs are emerging as novel nanomaterials for various biomedical applications. CNTs can be used to deliver a variety of therapeutic agents, including biomolecules, to the target disease sites. In addition, their unparalleled optical and electrical properties make them excellent candidates for bioimaging and other biomedical applications. However, the high cytotoxicity of CNTs limits their use in humans and many biological systems. The biocompatibility and low cytotoxicity of CNTs are attributed to size, dose, duration, testing systems, and surface functionalization. The functionalization of CNTs improves their solubility and biocompatibility and alters their cellular interaction pathways, resulting in much-reduced cytotoxic effects. Functionalized CNTs are promising novel materials for a variety of biomedical applications. These potential applications are particularly enhanced by their ability to penetrate biological membranes with relatively low cytotoxicity. This review is directed towards the overview of CNTs and their functionalization for biomedical applications with minimal cytotoxicity.Keywords: carbon nanotubes, cytotoxicity, functionalization, biomedical applications

  14. Dictionary of minor planet names

    CERN Document Server

    Schmadel, Lutz D

    1997-01-01

    Until recently, minor planet name citations were scattered in the astronomical literature, and the origin of many names remained obscure In 1988 the IAU Commission 20 established a study group to elucidate the meanings of asteroid names Later on the author continued in collecting and indexing all new relevant data This book contains the names, and their meanings, of all - as yet 5252 - named minor planets It informs about the discoverers as well as the circumstances of the discovery of all 7041 minor planets that were numbered up to June 1996 In addition to being of practical value for identification purposes, the collection provides a most interesting historical insight into the work of those astronomers who over two centuries vested their affinities in a rich and colourful variety of ingenious names, from heavenly goddesses to more prosaic constructions This third, revised and enlarged edition comprises about 40% more information than was provided with the first one of 1992

  15. Explosive Formulation Code Naming SOP

    Energy Technology Data Exchange (ETDEWEB)

    Martz, H. E. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

    2014-09-19

    The purpose of this SOP is to provide a procedure for giving individual HME formulations code names. A code name for an individual HME formulation consists of an explosive family code, given by the classified guide, followed by a dash, -, and a number. If the formulation requires preparation such as packing or aging, these add additional groups of symbols to the X-ray specimen name.

  16. Towards Evidence-based Precision Medicine: Extracting Population Information from Biomedical Text using Binary Classifiers and Syntactic Patterns.

    Science.gov (United States)

    Raja, Kalpana; Dasot, Naman; Goyal, Pawan; Jonnalagadda, Siddhartha R

    2016-01-01

    Precision Medicine is an emerging approach for prevention and treatment of disease that considers individual variability in genes, environment, and lifestyle for each person. The dissemination of individualized evidence by automatically identifying population information in literature is a key for evidence-based precision medicine at the point-of-care. We propose a hybrid approach using natural language processing techniques to automatically extract the population information from biomedical literature. Our approach first implements a binary classifier to classify sentences with or without population information. A rule-based system based on syntactic-tree regular expressions is then applied to sentences containing population information to extract the population named entities. The proposed two-stage approach achieved an F-score of 0.81 using a MaxEnt classifier and the rule- based system, and an F-score of 0.87 using a Nai've-Bayes classifier and the rule-based system, and performed relatively well compared to many existing systems. The system and evaluation dataset is being released as open source. PMID:27570671

  17. Naming Me, Naming You. Personal Names, Online Signatures and Cultural Meaning

    Directory of Open Access Journals (Sweden)

    Charlotte Hagström

    2012-08-01

    Full Text Available Every day we talk and speak and chat to people. We write and listen to each other, refer to each other, describe to each other what we and others have done and said. Doing this, we sometimes use our given names, sometimes we go by our nicknames, which often indicate or clarify who we are or are made up by ourselves to draw other people's attention. Nicknames can be official or informal, known by many or only by a few, real monikers or made up pseudonyms or signatures. Where ever there are people there are names, since names are and have always been part of human life. Sociologist Richard D. Alford states that ethnographic research has not found a single society whose members do not have names (Alford, 1988, 1. Names are cultural universals, something all humans have in common, no matter where or when they live. This article focuses on personal names and naming from a cultural ethnographic perspective. It begins with reflections on the link between name and self, continues with a discussion of how names are used to culturally structure our surroundings and interpret the world, and con- cludes with an analysis of names used in virtual settings. The virtual field has hitherto not received much interest among name researchers. In online games, chat rooms and web communities, names are not only useful and applicable, as they are in the so called real world; they are even more essential and important as it is mainly through their names participants recognise and identify each other.

  18. Pathophysiologic mechanisms of biomedical nanomaterials.

    Science.gov (United States)

    Wang, Liming; Chen, Chunying

    2016-05-15

    Nanomaterials (NMs) have been widespread used in biomedical fields, daily consuming, and even food industry. It is crucial to understand the safety and biomedical efficacy of NMs. In this review, we summarized the recent progress about the physiological and pathological effects of NMs from several levels: protein-nano interface, NM-subcellular structures, and cell-cell interaction. We focused on the detailed information of nano-bio interaction, especially about protein adsorption, intracellular trafficking, biological barriers, and signaling pathways as well as the associated mechanism mediated by nanomaterials. We also introduced related analytical methods that are meaningful and helpful for biomedical effect studies in the future. We believe that knowledge about pathophysiologic effects of NMs is not only significant for rational design of medical NMs but also helps predict their safety and further improve their applications in the future.

  19. Implantable biomedical devices on bioresorbable substrates

    Science.gov (United States)

    Rogers, John A; Kim, Dae-Hyeong; Omenetto, Fiorenzo; Kaplan, David L; Litt, Brian; Viventi, Jonathan; Huang, Yonggang; Amsden, Jason

    2014-03-04

    Provided herein are implantable biomedical devices, methods of administering implantable biomedical devices, methods of making implantable biomedical devices, and methods of using implantable biomedical devices to actuate a target tissue or sense a parameter associated with the target tissue in a biological environment. Each implantable biomedical device comprises a bioresorbable substrate, an electronic device having a plurality of inorganic semiconductor components supported by the bioresorbable substrate, and a barrier layer encapsulating at least a portion of the inorganic semiconductor components. Upon contact with a biological environment the bioresorbable substrate is at least partially resorbed, thereby establishing conformal contact between the implantable biomedical device and the target tissue in the biological environment.

  20. Constructing a semantic predication gold standard from the biomedical literature

    Directory of Open Access Journals (Sweden)

    Kilicoglu Halil

    2011-12-01

    Full Text Available Abstract Background Semantic relations increasingly underpin biomedical text mining and knowledge discovery applications. The success of such practical applications crucially depends on the quality of extracted relations, which can be assessed against a gold standard reference. Most such references in biomedical text mining focus on narrow subdomains and adopt different semantic representations, rendering them difficult to use for benchmarking independently developed relation extraction systems. In this article, we present a multi-phase gold standard annotation study, in which we annotated 500 sentences randomly selected from MEDLINE abstracts on a wide range of biomedical topics with 1371 semantic predications. The UMLS Metathesaurus served as the main source for conceptual information and the UMLS Semantic Network for relational information. We measured interannotator agreement and analyzed the annotations closely to identify some of the challenges in annotating biomedical text with relations based on an ontology or a terminology. Results We obtain fair to moderate interannotator agreement in the practice phase (0.378-0.475. With improved guidelines and additional semantic equivalence criteria, the agreement increases by 12% (0.415 to 0.536 in the main annotation phase. In addition, we find that agreement increases to 0.688 when the agreement calculation is limited to those predications that are based only on the explicitly provided UMLS concepts and relations. Conclusions While interannotator agreement in the practice phase confirms that conceptual annotation is a challenging task, the increasing agreement in the main annotation phase points out that an acceptable level of agreement can be achieved in multiple iterations, by setting stricter guidelines and establishing semantic equivalence criteria. Mapping text to ontological concepts emerges as the main challenge in conceptual annotation. Annotating predications involving biomolecular

  1. Entity Authentication:Analysis using Structured Intuition

    DEFF Research Database (Denmark)

    Ahmed, Naveed; Jensen, Christian D.

    2010-01-01

    In this paper, we propose a new method for the analysis that uses intuition of the analyst in a structured way. First we define entity authentication in terms of fine level authentication goals (FLAGs). Then we use some relevant structures in protocol narrations and use them to justify FLAGs for...

  2. Stump appendicitis: A rare clinical entity

    Directory of Open Access Journals (Sweden)

    Abhinav Kumar

    2013-01-01

    Full Text Available Stump appendicitis is one of the rare delayed complications after appendectomy with reported incidence of 1 in 50,000 cases. Stump appendicitis can present as a diagnostic dilemma if the treating clinician is unfamiliar with this rare clinical entity. We report an 18-year-old patient with Stump appendicitis, who underwent completion appendectomy laparoscopically.

  3. 77 FR 28250 - Entity List Additions; Corrections

    Science.gov (United States)

    2012-05-14

    ... General Trading, Office No. 205, Platinum Business Center, Baghdad Street, Al-Nahda 2, Al-Qusais, Dubai, U... Foreign Policy Interests of the United States'' in the Federal Register (77 FR 23114). This amendment... Persons to the Entity List'' in the Federal Register (77 FR 25055). This amendment corrects the...

  4. Pelvic fibromatoses--a rare gynecological entity.

    Science.gov (United States)

    Buckshee, K; Mittal, S; Agarwal, N; Chellani, M

    1988-06-01

    A rare case of pelvic fibromatoses is reported. This condition is rarely encountered in gynecological practice but when encountered, creates a diagnostic and therapeutic challenge. The reported patient highlights the difficulties encountered in surgical excision (done twice) and illustrates the local aggressive growth behavior of this entity.

  5. 13 CFR 130.200 - Eligible entities.

    Science.gov (United States)

    2010-01-01

    ... 13 Business Credit and Assistance 1 2010-01-01 2010-01-01 false Eligible entities. 130.200 Section 130.200 Business Credit and Assistance SMALL BUSINESS ADMINISTRATION SMALL BUSINESS DEVELOPMENT... or university; (3) A college or school of business, engineering, commerce or agriculture; (4)...

  6. Leiomyosarcoma of the Penis, an Exceptional Entity

    OpenAIRE

    Edwin Javier Romero Gonzalez; Marenco Jiménez, José L.; Mayorga Pineda, Maria P.; Alfonso Martínez Morán; Jesús Castiñeiras Fernández

    2015-01-01

    In tumors of the penis, mesenchymal tumors are extremely rare and within them, sarcomas are exceptional. We report a patient with a sarcomatous lesion treated with conservative surgery with good surgical outcome and the review of the literature, to present the latest advances in the treatment of this unusual entity.

  7. 77 FR 56571 - Unincorporated Business Entities

    Science.gov (United States)

    2012-09-13

    ... Institutions, dated October 14, 2010, and published in the Federal Register at 75 FR 64728 on October 20, 2010... 12 CFR Parts 604, 611, 612, 619, 620, 621, 622, 623, and 630 RIN 3052-AC65 Unincorporated Business...) institutions' use of unincorporated business entities (UBEs) organized under State law for certain...

  8. 31 CFR 800.212 - Foreign entity.

    Science.gov (United States)

    2010-07-01

    ... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Foreign entity. 800.212 Section 800.212 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF... business is outside the United States or its equity securities are primarily traded on one or more...

  9. 31 CFR 598.303 - Entity.

    Science.gov (United States)

    2010-07-01

    ... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 598.303 Section 598.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS..., organization, network, group, or subgroup, or any form of business collaboration....

  10. 47 CFR 27.1218 - Designated entities.

    Science.gov (United States)

    2010-10-01

    ... entrepreneur is an entity that, together with all attributed parties, has average gross revenues that are not... winning bid on any of the licenses in this subpart. (3) A winning bidder that qualifies as an entrepreneur, as defined in this section, or a consortium of entrepreneurs, may use a bidding credit of 15...

  11. 47 CFR 101.1429 - Designated entities.

    Science.gov (United States)

    2010-10-01

    ... for the preceding three years. (3) An entrepreneur is an entity that, together with its controlling... this chapter. A winning bidder that qualifies as an entrepreneur, as defined in this section, or a consortium of entrepreneurs may use the bidding credit specified in § 1.2110(f)(2)(iii) of this chapter....

  12. 47 CFR 27.702 - Designated entities.

    Science.gov (United States)

    2010-10-01

    ...) Eligibility for small business provisions. (1) An entrepreneur is an entity that, together with its... credits. A winning bidder that qualifies as an entrepreneur, as defined in this section, or a consortium of entrepreneurs may use the bidding credit specified in § 1.2110(f)(2)(i) of this chapter. A...

  13. A Bootstrapping Based Approach for Open Geo-entity Relation Extraction

    Directory of Open Access Journals (Sweden)

    YU Li

    2016-05-01

    Full Text Available Extracting spatial relations and semantic relations between two geo-entities from Web texts, asks robust and effective solutions. This paper puts forward a novel approach: firstly, the characteristics of terms (part-of-speech, position and distance are analyzed by means of bootstrapping. Secondly, the weight of each term is calculated and the keyword is picked out as the clue of geo-entity relations. Thirdly, the geo-entity pairs and their keywords are organized into structured information. Finally, an experiment is conducted with Baidubaike and Stanford CoreNLP. The study shows that the presented method can automatically explore part of the lexical features and find additional relational terms which neither the domain expert knowledge nor large scale corpora need. Moreover, compared with three classical frequency statistics methods, namely Frequency, TF-IDF and PPMI, the precision and recall are improved about 5% and 23% respectively.

  14. Biomedical Imaging Principles and Applications

    CERN Document Server

    Salzer, Reiner

    2012-01-01

    This book presents and describes imaging technologies that can be used to study chemical processes and structural interactions in dynamic systems, principally in biomedical systems. The imaging technologies, largely biomedical imaging technologies such as MRT, Fluorescence mapping, raman mapping, nanoESCA, and CARS microscopy, have been selected according to their application range and to the chemical information content of their data. These technologies allow for the analysis and evaluation of delicate biological samples, which must not be disturbed during the profess. Ultimately, this may me

  15. Flexible sensors for biomedical technology.

    Science.gov (United States)

    Vilela, Diana; Romeo, Agostino; Sánchez, Samuel

    2016-02-01

    Flexible sensing devices have gained a great deal of attention among the scientific community in recent years. The application of flexible sensors spans over several fields, including medicine, industrial automation, robotics, security, and human-machine interfacing. In particular, non-invasive health-monitoring devices are expected to play a key role in the improvement of patient life and in reducing costs associated with clinical and biomedical diagnostic procedures. Here, we focus on recent advances achieved in flexible devices applied on the human skin for biomedical and healthcare purposes. PMID:26675174

  16. Flexible sensors for biomedical technology.

    Science.gov (United States)

    Vilela, Diana; Romeo, Agostino; Sánchez, Samuel

    2016-02-01

    Flexible sensing devices have gained a great deal of attention among the scientific community in recent years. The application of flexible sensors spans over several fields, including medicine, industrial automation, robotics, security, and human-machine interfacing. In particular, non-invasive health-monitoring devices are expected to play a key role in the improvement of patient life and in reducing costs associated with clinical and biomedical diagnostic procedures. Here, we focus on recent advances achieved in flexible devices applied on the human skin for biomedical and healthcare purposes.

  17. Index to scientific plant names

    NARCIS (Netherlands)

    NN,

    2002-01-01

    Numbers refer to page numbers. Infrageneric epithets have been entered directly under the generic name to which they belong, preceded by the indication of their rank (subg., sect., etc.). Infraspecific epithets have been entered under the specific name to which they belong, preceded by the indicatio

  18. An analysis on the entity annotations in biological corpora [v1; ref status: indexed, http://f1000r.es/2o0

    Directory of Open Access Journals (Sweden)

    Mariana Neves

    2014-04-01

    Full Text Available Collection of documents annotated with semantic entities and relationships are crucial resources to support development and evaluation of text mining solutions for the biomedical domain. Here I present an overview of 36 corpora and show an analysis on the semantic annotations they contain. Annotations for entity types were classified into six semantic groups and an overview on the semantic entities which can be found in each corpus is shown. Results show that while some semantic entities, such as genes, proteins and chemicals are consistently annotated in many collections, corpora available for diseases, variations and mutations are still few, in spite of their importance in the biological domain.

  19. Number names and number understanding

    DEFF Research Database (Denmark)

    Ejersbo, Lisser Rye; Misfeldt, Morten

    2014-01-01

    This paper concerns the results from the first year of a three-year research project involving the relationship between Danish number names and their corresponding digits in the canonical base 10 system. The project aims to develop a system to help the students’ understanding of the base 10 system...... through using mathematical names for the numbers such as one-ten-one for 11 and five-ten-six for 56. The project combines the renaming of numbers with supporting the teaching with the new number names. Our hypothesis is that Danish children have more difficulties learning and working with numbers, because...... the Danish number names are more complicated than in other languages. Keywords: A research project in grade 0 and 1th in a Danish school, Base-10 system, two-digit number names, semiotic, cognitive perspectives....

  20. Full text clustering and relationship network analysis of biomedical publications.

    Directory of Open Access Journals (Sweden)

    Renchu Guan

    Full Text Available Rapid developments in the biomedical sciences have increased the demand for automatic clustering of biomedical publications. In contrast to current approaches to text clustering, which focus exclusively on the contents of abstracts, a novel method is proposed for clustering and analysis of complete biomedical article texts. To reduce dimensionality, Cosine Coefficient is used on a sub-space of only two vectors, instead of computing the Euclidean distance within the space of all vectors. Then a strategy and algorithm is introduced for Semi-supervised Affinity Propagation (SSAP to improve analysis efficiency, using biomedical journal names as an evaluation background. Experimental results show that by avoiding high-dimensional sparse matrix computations, SSAP outperforms conventional k-means methods and improves upon the standard Affinity Propagation algorithm. In constructing a directed relationship network and distribution matrix for the clustering results, it can be noted that overlaps in scope and interests among BioMed publications can be easily identified, providing a valuable analytical tool for editors, authors and readers.

  1. Science gateways for biomedical big data analysis

    NARCIS (Netherlands)

    S. Shahand

    2015-01-01

    Biomedical researchers are facing data deluge challenges such as dealing with large volume of complex heterogeneous data and complex and computationally demanding data processing methods. Such scale and complexity of biomedical research requires multi-disciplinary collaboration between scientists fr

  2. Integrated Biomaterials for Biomedical Technology

    CERN Document Server

    Ramalingam, Murugan; Ramakrishna, Seeram; Kobayashi, Hisatoshi

    2012-01-01

    This cutting edge book provides all the important aspects dealing with the basic science involved in materials in biomedical technology, especially structure and properties, techniques and technological innovations in material processing and characterizations, as well as the applications. The volume consists of 12 chapters written by acknowledged experts of the biomaterials field and covers a wide range of topics and applications.

  3. Biomedical Engineering Education in Perspective

    Science.gov (United States)

    Gowen, Richard J.

    1973-01-01

    Discusses recent developments in the health care industry and their impact on the future of biomedical engineering education. Indicates that a more thorough understanding of the complex functions of the living organism can be acquired through the application of engineering techniques to problems of life sciences. (CC)

  4. Environmental/Biomedical Terminology Index

    Energy Technology Data Exchange (ETDEWEB)

    Huffstetler, J.K.; Dailey, N.S.; Rickert, L.W.; Chilton, B.D.

    1976-12-01

    The Information Center Complex (ICC), a centrally administered group of information centers, provides information support to environmental and biomedical research groups and others within and outside Oak Ridge National Laboratory. In-house data base building and development of specialized document collections are important elements of the ongoing activities of these centers. ICC groups must be concerned with language which will adequately classify and insure retrievability of document records. Language control problems are compounded when the complexity of modern scientific problem solving demands an interdisciplinary approach. Although there are several word lists, indexes, and thesauri specific to various scientific disciplines usually grouped as Environmental Sciences, no single generally recognized authority can be used as a guide to the terminology of all environmental science. If biomedical terminology for the description of research on environmental effects is also needed, the problem becomes even more complex. The building of a word list which can be used as a general guide to the environmental/biomedical sciences has been a continuing activity of the Information Center Complex. This activity resulted in the publication of the Environmental Biomedical Terminology Index (EBTI).

  5. Mathematical modeling in biomedical imaging

    CERN Document Server

    2009-01-01

    This volume gives an introduction to a fascinating research area to applied mathematicians. It is devoted to providing the exposition of promising analytical and numerical techniques for solving challenging biomedical imaging problems, which trigger the investigation of interesting issues in various branches of mathematics.

  6. Mathematical modeling in biomedical imaging

    CERN Document Server

    2012-01-01

    This volume reports on recent mathematical and computational advances in optical, ultrasound, and opto-acoustic tomographies. It outlines the state-of-the-art and future directions in these fields and provides readers with the most recently developed mathematical and computational tools.  It is particularly suitable for researchers and graduate students in applied mathematics and biomedical engineering.

  7. Biomedical applications of magnesium alloys

    NARCIS (Netherlands)

    Sillekens, W.H.; Bormann, D.

    2012-01-01

    This chapter deals with the emerging field of biomedical applications for magnesium-based materials, envisioning degradable implants that dissolve in the human body after having cured a particular medical condition. After outlining the background of this interest, some major aspects concerning degra

  8. Environmental/Biomedical Terminology Index

    International Nuclear Information System (INIS)

    The Information Center Complex (ICC), a centrally administered group of information centers, provides information support to environmental and biomedical research groups and others within and outside Oak Ridge National Laboratory. In-house data base building and development of specialized document collections are important elements of the ongoing activities of these centers. ICC groups must be concerned with language which will adequately classify and insure retrievability of document records. Language control problems are compounded when the complexity of modern scientific problem solving demands an interdisciplinary approach. Although there are several word lists, indexes, and thesauri specific to various scientific disciplines usually grouped as Environmental Sciences, no single generally recognized authority can be used as a guide to the terminology of all environmental science. If biomedical terminology for the description of research on environmental effects is also needed, the problem becomes even more complex. The building of a word list which can be used as a general guide to the environmental/biomedical sciences has been a continuing activity of the Information Center Complex. This activity resulted in the publication of the Environmental Biomedical Terminology Index

  9. Using Nanoinformatics Methods for Automatically Identifying Relevant Nanotoxicology Entities from the Literature

    Directory of Open Access Journals (Sweden)

    Miguel García-Remesal

    2013-01-01

    Full Text Available Nanoinformatics is an emerging research field that uses informatics techniques to collect, process, store, and retrieve data, information, and knowledge on nanoparticles, nanomaterials, and nanodevices and their potential applications in health care. In this paper, we have focused on the solutions that nanoinformatics can provide to facilitate nanotoxicology research. For this, we have taken a computational approach to automatically recognize and extract nanotoxicology-related entities from the scientific literature. The desired entities belong to four different categories: nanoparticles, routes of exposure, toxic effects, and targets. The entity recognizer was trained using a corpus that we specifically created for this purpose and was validated by two nanomedicine/nanotoxicology experts. We evaluated the performance of our entity recognizer using 10-fold cross-validation. The precisions range from 87.6% (targets to 93.0% (routes of exposure, while recall values range from 82.6% (routes of exposure to 87.4% (toxic effects. These results prove the feasibility of using computational approaches to reliably perform different named entity recognition (NER-dependent tasks, such as for instance augmented reading or semantic searches. This research is a “proof of concept” that can be expanded to stimulate further developments that could assist researchers in managing data, information, and knowledge at the nanolevel, thus accelerating research in nanomedicine.

  10. Number names and number understanding

    DEFF Research Database (Denmark)

    Ejersbo, Lisser Rye; Misfeldt, Morten

    2014-01-01

    This paper concerns the results from the first year of a three-year research project involving the relationship between Danish number names and their corresponding digits in the canonical base 10 system. The project aims to develop a system to help the students’ understanding of the base 10 system...... the Danish number names are more complicated than in other languages. Keywords: A research project in grade 0 and 1th in a Danish school, Base-10 system, two-digit number names, semiotic, cognitive perspectives....

  11. Advanced Biomedical Computing Center (ABCC) | DSITP

    Science.gov (United States)

    The Advanced Biomedical Computing Center (ABCC), located in Frederick Maryland (MD), provides HPC resources for both NIH/NCI intramural scientists and the extramural biomedical research community. Its mission is to provide HPC support, to provide collaborative research, and to conduct in-house research in various areas of computational biology and biomedical research.

  12. J.W. Grant named first Kevin P. Granata Faculty Fellow

    OpenAIRE

    Owczarski, Mark

    2010-01-01

    J.W. "Wally" Grant, professor of engineering science and mechanics in the College of Engineering at Virginia Tech and former director of the Virginia Tech Wake Forest University School of Biomedical Engineering and Sciences, has been named the university's first Kevin P. Granata Faculty Fellow by the Virginia Tech Board of Visitors.

  13. What's in a Name Change?

    Science.gov (United States)

    Martin, Joseph D.

    2015-03-01

    When solid state physics emerged in the 1940s, its name was controversial. By the 1970s, some physicists came to prefer "condensed matter" as a way to identify the discipline of physics examining complex matter. Physicists and historians often gloss this transition as a simple rebranding of a problematically named field, but attention to the motives behind these names reveals telling nuances. "Solid state physics" and "condensed matter physics"—along with "materials science," which also emerged during the Cold War—were named in accordance with ideological commitments about the identity of physics. Historians, therefore, can profitably understand solid state and condensed matter physics as distinct disciplines. Condensed matter, rather than being continuous with solid state physics, should be considered alongside materials science as an outlet for specific frustrations with the way solid state was organized.

  14. No Name,No Game

    Institute of Scientific and Technical Information of China (English)

    LAN XINZHEN

    2010-01-01

    @@ Online gamers of all ages in China can forget about completing quests or shooting virtual enemies without registering their real names,according to a new government regulation that took effect on August 1.

  15. Asteroid named after CAS scientist

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    @@ An asteroid has been named after CAS astronomy historian XI Zezong with the approval of the International Minor Planet Nomenclature Committee (IMPNC), announced China's National Astronomical Observatories at CAS (NAOC) on 17 August.

  16. The Name-Passing Calculus

    OpenAIRE

    Fu, Yuxi; Zhu, Han

    2015-01-01

    Name-passing calculi are foundational models for mobile computing. Research into these models has produced a wealth of results ranging from relative expressiveness to programming pragmatics. The diversity of these results call for clarification and reorganization. This paper applies a model independent approach to the study of the name-passing calculi, leading to a uniform treatment and simplification. The technical tools and the results presented in the paper form the foundation for a theory...

  17. Semantic Shift in Plant Names

    OpenAIRE

    DOSKOČILOVÁ, Iveta

    2014-01-01

    The aim of the present work is to identify and list English plant names coined by semantic shift, namely by metaphor, metonymy or synecdoche, and to carry out a detailed categorisation of individual semantic categories based on different tendencies within them and interpretation of the results. The theoretical part of my work focuses on different approaches to semantic shift and its categories. It is followed by the practical part which deals individually with metaphor, metonymy and synecdoch...

  18. Index to scientific plant names

    OpenAIRE

    NN

    2002-01-01

    Numbers refer to page numbers. Infrageneric epithets have been entered directly under the generic name to which they belong, preceded by the indication of their rank (subg., sect., etc.). Infraspecific epithets have been entered under the specific name to which they belong, preceded by the indication of their rank (subsp., var., forma, etc.). Synonyms have been printed in italics. Page numbers in bold type denote main treatment; page numbers with an asterisk refer to a drawing, those with + d...

  19. Confrontation naming of environmental sounds.

    Science.gov (United States)

    Marcell, M M; Borella, D; Greene, M; Kerr, E; Rogers, S

    2000-12-01

    The development of a set of everyday, nonverbal, digitized sounds for use in auditory confrontation naming applications is described. Normative data are reported for 120 sounds of varying lengths representing a wide variety of acoustic events such as sounds produced by animals, people, musical instruments, tools, signals, and liquids. In Study 1, criteria for scoring naming accuracy were developed and rating data were gathered on degree of confidence in sound identification and the perceived familiarity, complexity, and pleasantness of the sounds. In Study 2, the previously developed criteria for scoring naming accuracy were applied to the naming responses of a new sample of subjects, and oral naming times were measured. In Study 3 data were gathered on how subjects categorized the sounds: In the first categorization task - free classification - subjects generated category descriptions for the sounds; in the second task - constrained classification - a different sample of subjects selected the most appropriate category label for each sound from a list of 27 labels generated in the first task. Tables are provided in which the 120 stimuli are sorted by familiarity, complexity, pleasantness, duration, naming accuracy, speed of identification, and category placement. The. WAV sound files are freely available to researchers and clinicians via a sound archive on the World Wide Web; the URL is http://www.cofc.edu/~marcellm/confront.htm.

  20. The Autonomy of Indigenous Territorial Entities

    OpenAIRE

    Samuel Baena

    2015-01-01

    The dynamics that emerge between western civilization and indigenous groups are not exempt from historical and cultural imbalances that deserve different legal treatment. The starting point to achieve some level of equality is, in general terms, territorial law, and in specific terms, the principle of autonomy supported and lead by indigenous territorial entities. However, theoretical constructs of anthropology and systemic hermeneutics of the 1991 Constitution, allow for the existence of an ...

  1. Biomedical ethics and the biomedical engineer: a review.

    Science.gov (United States)

    Saha, S; Saha, P S

    1997-01-01

    Biomedical engineering is responsible for many of the dramatic advances in modern medicine. This has resulted in improved medical care and better quality of life for patients. However, biomedical technology has also contributed to new ethical dilemmas and has challenged some of our moral values. Bioengineers often lack adequate training in facing these moral and ethical problems. These include conflicts of interest, allocation of scarce resources, research misconduct, animal experimentation, and clinical trials for new medical devices. This paper is a compilation of our previous published papers on these topics, and it summarizes many complex ethical issues that a bioengineer may face during his or her research career or professional practice. The need for ethics training in the education of a bioengineering student is emphasized. We also advocate the adoption of a code of ethics for bioengineers.

  2. Combined pulmonary fibrosis and emphysema (CPFE): an entity different from emphysema or pulmonary fibrosis alone

    OpenAIRE

    Lin, Huijin; Jiang, Shanping

    2015-01-01

    Chronic obstructive pulmonary disease (COPD) and idiopathic interstitial pneumonias (IIP), with different radiological, pathological, functional and prognostic characteristics, have been regarded as separate entities for a long time. However, there is an increasing recognition of the coexistence of emphysema and pulmonary fibrosis in individuals. The association was first described as a syndrome by Cottin in 2005, named “combined pulmonary fibrosis and emphysema (CPFE)”, which is characterize...

  3. Drug design and discovery: translational biomedical science varies among countries.

    Science.gov (United States)

    Weaver, Ian N; Weaver, Donald F

    2013-10-01

    Drug design and discovery is an innovation process that translates the outcomes of fundamental biomedical research into therapeutics that are ultimately made available to people with medical disorders in many countries throughout the world. To identify which nations succeed, exceed, or fail at the drug design/discovery endeavor--more specifically, which countries, within the context of their national size and wealth, are "pulling their weight" when it comes to developing medications targeting the myriad of diseases that afflict humankind--we compiled and analyzed a comprehensive survey of all new drugs (small molecular entities and biologics) approved annually throughout the world over the 20-year period from 1991 to 2010. Based upon this analysis, we have devised prediction algorithms to ascertain which countries are successful (or not) in contributing to the worldwide need for effective new therapeutics.

  4. Bibliographic Entity Automatic Recognition and Disambiguation

    CERN Document Server

    AUTHOR|(SzGeCERN)766022

    This master thesis reports an applied machine learning research internship done at digital library of the European Organization for Nuclear Research (CERN). The way an author’s name may vary in its representation across scientific publications creates ambiguity when it comes to uniquely identifying an author; In the database of any scientific digital library, the same full name variation can be used by more than one author. This may occur even between authors from the same research affiliation. In this work, we built a machine learning based author name disambiguation solution. The approach consists in learning a distance function from a ground-truth data, blocking publications of broadly similar author names, and clustering the publications using a semi-supervised strategy within each of the blocks. The main contributions of this work are twofold; first, improving the distance model by taking into account the (estimated) ethnicity of the author’s full name. Indeed, names from different ethnicities, for e...

  5. Surface engineering of graphene-based nanomaterials for biomedical applications.

    Science.gov (United States)

    Shi, Sixiang; Chen, Feng; Ehlerding, Emily B; Cai, Weibo

    2014-09-17

    Graphene-based nanomaterials have attracted tremendous interest over the past decade due to their unique electronic, optical, mechanical, and chemical properties. However, the biomedical applications of these intriguing nanomaterials are still limited due to their suboptimal solubility/biocompatibility, potential toxicity, and difficulties in achieving active tumor targeting, just to name a few. In this Topical Review, we will discuss in detail the important role of surface engineering (i.e., bioconjugation) in improving the in vitro/in vivo stability and enriching the functionality of graphene-based nanomaterials, which can enable single/multimodality imaging (e.g., optical imaging, positron emission tomography, magnetic resonance imaging) and therapy (e.g., photothermal therapy, photodynamic therapy, and drug/gene delivery) of cancer. Current challenges and future research directions are also discussed and we believe that graphene-based nanomaterials are attractive nanoplatforms for a broad array of future biomedical applications.

  6. Elemental Etymology: What's in a Name?

    Science.gov (United States)

    Ball, David W.

    1985-01-01

    Examines the origin of the names (or etymologies) of the chemical elements. Includes tables listing elements: (1) with names of obscure origin; (2) named for colors; (3) named after real or mythical people; (4) named after places; (5) named after heavenly bodies; and (6) having names of miscellaneous origin. (JN)

  7. Branding the bio/biomedical engineering degree.

    Science.gov (United States)

    Voigt, Herbert F

    2011-01-01

    The future challenges to medical and biological engineering, sometimes referred to as biomedical engineering or simply bioengineering, are many. Some of these are identifiable now and others will emerge from time to time as new technologies are introduced and harnessed. There is a fundamental issue regarding "Branding the bio/biomedical engineering degree" that requires a common understanding of what is meant by a B.S. degree in Biomedical Engineering, Bioengineering, or Biological Engineering. In this paper we address some of the issues involved in branding the Bio/Biomedical Engineering degree, with the aim of clarifying the Bio/Biomedical Engineering brand.

  8. Advanced Methods of Biomedical Signal Processing

    CERN Document Server

    Cerutti, Sergio

    2011-01-01

    This book grew out of the IEEE-EMBS Summer Schools on Biomedical Signal Processing, which have been held annually since 2002 to provide the participants state-of-the-art knowledge on emerging areas in biomedical engineering. Prominent experts in the areas of biomedical signal processing, biomedical data treatment, medicine, signal processing, system biology, and applied physiology introduce novel techniques and algorithms as well as their clinical or physiological applications. The book provides an overview of a compelling group of advanced biomedical signal processing techniques, such as mult

  9. Dictionary of Minor Planet Names

    CERN Document Server

    Schmadel, Lutz

    2012-01-01

    The quantity of numbered minor planets has now well exceeded a quarter million. The new sixth edition of the Dictionary of Minor Planet Names, which is the IAU’s official reference work for the field, now covers more than 17,000 named minor planets. In addition to being of practical value for identification purposes, the Dictionary of Minor Planet Names provides authoritative information on the basis of the rich and colorful variety of ingenious names, from heavenly goddesses to artists, from scientists to Nobel laureates, from historical or political figures to ordinary women and men, from mountains to buildings, as well as a variety of compound terms and curiosities. This sixth edition of the Dictionary of Minor Planet Names has grown by more than 7,000 entries compared to the fifth edition and by more than 2,000 compared to the fifth edition, including its two addenda published in 2006 and 2009. In addition, there are many  corrections, revisions and updates to the entries published in earlier editions....

  10. Document Exploration and Automatic Knowledge Extraction for Unstructured Biomedical Text

    Science.gov (United States)

    Chu, S.; Totaro, G.; Doshi, N.; Thapar, S.; Mattmann, C. A.; Ramirez, P.

    2015-12-01

    We describe our work on building a web-browser based document reader with built-in exploration tool and automatic concept extraction of medical entities for biomedical text. Vast amounts of biomedical information are offered in unstructured text form through scientific publications and R&D reports. Utilizing text mining can help us to mine information and extract relevant knowledge from a plethora of biomedical text. The ability to employ such technologies to aid researchers in coping with information overload is greatly desirable. In recent years, there has been an increased interest in automatic biomedical concept extraction [1, 2] and intelligent PDF reader tools with the ability to search on content and find related articles [3]. Such reader tools are typically desktop applications and are limited to specific platforms. Our goal is to provide researchers with a simple tool to aid them in finding, reading, and exploring documents. Thus, we propose a web-based document explorer, which we called Shangri-Docs, which combines a document reader with automatic concept extraction and highlighting of relevant terms. Shangri-Docsalso provides the ability to evaluate a wide variety of document formats (e.g. PDF, Words, PPT, text, etc.) and to exploit the linked nature of the Web and personal content by performing searches on content from public sites (e.g. Wikipedia, PubMed) and private cataloged databases simultaneously. Shangri-Docsutilizes Apache cTAKES (clinical Text Analysis and Knowledge Extraction System) [4] and Unified Medical Language System (UMLS) to automatically identify and highlight terms and concepts, such as specific symptoms, diseases, drugs, and anatomical sites, mentioned in the text. cTAKES was originally designed specially to extract information from clinical medical records. Our investigation leads us to extend the automatic knowledge extraction process of cTAKES for biomedical research domain by improving the ontology guided information extraction

  11. [Cluster analysis in biomedical researches].

    Science.gov (United States)

    Akopov, A S; Moskovtsev, A A; Dolenko, S A; Savina, G D

    2013-01-01

    Cluster analysis is one of the most popular methods for the analysis of multi-parameter data. The cluster analysis reveals the internal structure of the data, group the separate observations on the degree of their similarity. The review provides a definition of the basic concepts of cluster analysis, and discusses the most popular clustering algorithms: k-means, hierarchical algorithms, Kohonen networks algorithms. Examples are the use of these algorithms in biomedical research. PMID:24640781

  12. Terahertz biomedical science and technology

    CERN Document Server

    Son, Joo-Hiuk

    2014-01-01

    Introduction to Biomedical Studies Using Terahertz WavesJoo-Hiuk SonSection I Terahertz TechnologyTerahertz Sources and DetectorsHyunyong Choi and Joo-Hiuk SonTabletop High-Power Terahertz Pulse Generation TechniquesYun-Shik LeeTerahertz Imaging and Tomography TechniquesHyunyong Choi and Joo-Hiuk SonCompact Solid-State Electronic Terahertz Devices and CircuitsJae-Sung Rieh, Daekeun Yoon, and Jongwon Yun<

  13. New biomedical applications of radiocarbon

    Energy Technology Data Exchange (ETDEWEB)

    Davis, J.C.

    1990-12-01

    The potential of accelerator mass spectrometry (AMS) and radiocarbon in biomedical applications is being investigated by Lawrence Livermore National Laboratory (LLNL). A measurement of the dose-response curve for DNA damage caused by a carcinogen in mouse liver cells was an initial experiment. This demonstrated the sensitivity and utility of AMS for detecting radiocarbon tags and led to numerous follow-on experiments. The initial experiment and follow-on experiments are discussed in this report. 12 refs., 4 figs. (SM)

  14. Biomedical devices and their applications

    CERN Document Server

    2004-01-01

    This volume introduces readers to the basic concepts and recent advances in the field of biomedical devices. The text gives a detailed account of novel developments in drug delivery, protein electrophoresis, estrogen mimicking methods and medical devices. It also provides the necessary theoretical background as well as describing a wide range of practical applications. The level and style make this book accessible not only to scientific and medical researchers but also to graduate students.

  15. 17 CFR 202.8 - Small entity compliance guides.

    Science.gov (United States)

    2010-04-01

    ... 17 Commodity and Securities Exchanges 2 2010-04-01 2010-04-01 false Small entity compliance guides. 202.8 Section 202.8 Commodity and Securities Exchanges SECURITIES AND EXCHANGE COMMISSION INFORMAL AND OTHER PROCEDURES § 202.8 Small entity compliance guides. The following small entity compliance guides are available to the public from...

  16. 7 CFR 25.401 - Responsibility of lead managing entity.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 1 2010-01-01 2010-01-01 false Responsibility of lead managing entity. 25.401 Section... COMMUNITIES Post-Designation Requirements § 25.401 Responsibility of lead managing entity. (a) Financial. The lead managing entity will be responsible for strategic plan program activities and monitoring...

  17. 77 FR 60948 - Stress Testing of Regulated Entities

    Science.gov (United States)

    2012-10-05

    ... help it to assess capital adequacy under various scenarios at the regulated entities. Section 165(i)(2..., forward-looking information that will help them to assess capital adequacy at the regulated entities under... element in a regulated entity's overall capital planning and capital adequacy assessment. If a...

  18. Multifunctional Magnetic-fluorescent Nanocomposites for Biomedical Applications

    Directory of Open Access Journals (Sweden)

    Rakovich Yury

    2008-01-01

    Full Text Available AbstractNanotechnology is a fast-growing area, involving the fabrication and use of nano-sized materials and devices. Various nanocomposite materials play a number of important roles in modern science and technology. Magnetic and fluorescent inorganic nanoparticles are of particular importance due to their broad range of potential applications. It is expected that the combination of magnetic and fluorescent properties in one nanocomposite would enable the engineering of unique multifunctional nanoscale devices, which could be manipulated using external magnetic fields. The aim of this review is to present an overview of bimodal “two-in-one” magnetic-fluorescent nanocomposite materials which combine both magnetic and fluorescent properties in one entity, in particular those with potential applications in biotechnology and nanomedicine. There is a great necessity for the development of these multifunctional nanocomposites, but there are some difficulties and challenges to overcome in their fabrication such as quenching of the fluorescent entity by the magnetic core. Fluorescent-magnetic nanocomposites include a variety of materials including silica-based, dye-functionalised magnetic nanoparticles and quantum dots-magnetic nanoparticle composites. The classification and main synthesis strategies, along with approaches for the fabrication of fluorescent-magnetic nanocomposites, are considered. The current and potential biomedical uses, including biological imaging, cell tracking, magnetic bioseparation, nanomedicine and bio- and chemo-sensoring, of magnetic-fluorescent nanocomposites are also discussed.

  19. Jewish Name Magyarization in Hungary

    Directory of Open Access Journals (Sweden)

    Tamás Farkas

    2012-01-01

    Full Text Available This article presents the surname changes of the Jews as formal acts which served as a means of assimilation, and which resulted in a characteristic phenomenon of the history of Jewish communities as well as of the surrounding society of the majority. Surname changes as the sign of forming cultural and national identities were used for an individual crossing of a conceptual borderline between ‘they’ and ‘us’ in nineteenth- and twentieth-century Hungarian society. The paper is based on research in different fields of scholarly studies, applying multi- and interdisciplinary standpoints. It focuses on the Name Magyarization process, but also makes comparisons with the name changes of the Jews in other countries. It applies different sources to investigate the social, historical, cultural and ideological background, context and the characteristics of the nominal assimilation of the Jews. It analyzes their names as ethnic symbols, and presents the reasons that made the surname changes so typical for them. It presents the assimilation process of Jewish persons and their personal names in general, and the history of their surname changes in Hungary. The characteristic features of the surnames chosen and their typical motivations are also analyzed, in comparison with those of the non-Jews in the country.

  20. Sound Naming in Neurodegenerative Disease

    Science.gov (United States)

    Chow, Maggie L.; Brambati, Simona M.; Gorno-Tempini, Maria Luisa; Miller, Bruce L.; Johnson, Julene K.

    2010-01-01

    Modern cognitive neuroscientific theories and empirical evidence suggest that brain structures involved in movement may be related to action-related semantic knowledge. To test this hypothesis, we examined the naming of environmental sounds in patients with corticobasal degeneration (CBD) and progressive supranuclear palsy (PSP), two…

  1. African names for American plants

    NARCIS (Netherlands)

    Andel, van T.R.

    2015-01-01

    African slaves brought plant knowledge to the New World, sometimes applying it to related plants they found there and sometimes bringing Old World plants with them. By tracing the linguistic parallels between names for plants in African languages and in communities descended from African slaves, pie

  2. Rectification of two generic names

    NARCIS (Netherlands)

    Büttikofer, J.

    1896-01-01

    I am sorry to say that amongst the new generic names, occurring in my recent paper on the genus Pycnonotus and some allied Genera (N. L. M. XVII), Centrolophus and Gymnocrotaphus are already preoccupied among the Fishes, the first being used by Lacépède, the second by Günther. I propose, therefore,

  3. Co-operative Entities: Specific Accounting Aspects

    Directory of Open Access Journals (Sweden)

    MIGUEL ÁNGEL ZUBIAURRE ARTOLA

    2004-12-01

    Full Text Available The accounting regulation of co-operative societies have been recently reinforced with the approval of the ORDER ECO/3614/2003. The objective of this rule is to adapt the content of the Plan General de Contabilidad to the characteristics of these entities. In this work, I study the economic and accounting consequences of the special characteristics of co-operative societies on concepts like the result, capital, reserves or own equity, among others. The work combines the content of the state regulatory scheme on cooperative with the applicable legislation in the Basque Autonomous Community, as well as the national and international accounting regulation.

  4. Naming Practices and Language Planning in Zimbabwe

    Science.gov (United States)

    Makoni, Busi; Makoni, Sinfree; Mashiri, Pedzisai

    2007-01-01

    Studies of African naming practices focus almost exclusively on the meanings and etymology of names and details about the circumstances surrounding how such names are assigned. Such research has not examined the implications naming has for language planning, ideologies of language, and language shift. Focusing on names and naming practices in…

  5. Rational engineering of physicochemical properties of nanomaterials for biomedical applications with nanotoxicological perspectives

    Science.gov (United States)

    Navya, P. N.; Daima, Hemant Kumar

    2016-02-01

    Innovative engineered nanomaterials are at the leading edge of rapidly emerging fields of nanobiotechnology and nanomedicine. Meticulous synthesis, unique physicochemical properties, manifestation of chemical or biological moieties on the surface of materials make engineered nanostructures suitable for a variety of biomedical applications. Besides, tailored nanomaterials exhibit entirely novel therapeutic applications with better functionality, sensitivity, efficiency and specificity due to their customized unique physicochemical and surface properties. Additionally, such designer made nanomaterials has potential to generate series of interactions with various biological entities including DNA, proteins, membranes, cells and organelles at nano-bio interface. These nano-bio interactions are driven by colloidal forces and predominantly depend on the dynamic physicochemical and surface properties of nanomaterials. Nevertheless, recent development and atomic scale tailoring of various physical, chemical and surface properties of nanomaterials is promising to dictate their interaction in anticipated manner with biological entities for biomedical applications. As a result, rationally designed nanomaterials are in extensive demand for bio-molecular detection and diagnostics, therapeutics, drug and gene delivery, fluorescent labelling, tissue engineering, biochemical sensing and other pharmaceuticals applications. However, toxicity and risk associated with engineered nanomaterials is rather unclear or not well understood; which is gaining considerable attention and the field of nanotoxicology is evolving promptly. Therefore, this review explores current knowledge of articulate engineering of nanomaterials for biomedical applications with special attention on potential toxicological perspectives.

  6. ANTIMICROBIAL REAGENTS AS FUNCTIONAL FINISHING FOR TEXTILES INTENDED FOR BIOMEDICAL APPLICATIONS. I. SYNTHETIC ORGANIC COMPOUNDS

    Directory of Open Access Journals (Sweden)

    Madalina Zanoaga

    2014-06-01

    Full Text Available This article offers an overview of some contemporary antimicrobial (biocides and biostatics agents used as functional finishing for textiles intended for biomedical applications. It reviews only synthetic agents, namely quaternary ammonium compounds, halogenated phenols, polybiguanides, N-halamines, and renewable peroxides, as a part of an extensive study currently in progress.

  7. Biomedical Research Group, Health Division annual report 1954

    Energy Technology Data Exchange (ETDEWEB)

    Langham, W.H.; Storer, J.B.

    1955-12-31

    This report covers the activities of the Biomedical Research Group (H-4) of the Health Division during the period January 1 through December 31, 1954. Organizationally, Group H-4 is divided into five sections, namely, Biochemistry, Radiobiology, Radiopathology, Biophysics, and Organic Chemistry. The activities of the Group are summarized under the headings of the various sections. The general nature of each section`s program, publications, documents and reports originating from its members, and abstracts and summaries of the projects pursued during the year are presented.

  8. The Mobile Team of Parasitology-Mycology, a medical entity for educational purposes to serve sick patients.

    Science.gov (United States)

    Desoubeaux, G; Simon, E G; Perrotin, D; Chandenier, J

    2014-06-01

    The Mobile Team of Parasitology-Mycology is a movable entity of the Parasitology-Mycology laboratory of Tours University Hospital, France. In contrast to the usual prerogatives of biomedical laboratories, the Mobile Team of Parasitology-Mycology is requested to intervene directly at bedside in various clinical departments, or even outside the hospital facility. Although its actions are of course primarily devoted to specialized diagnostic and therapeutic purposes, the Mobile Team also plays an important educational role in the medical training of undergraduate or graduate students.

  9. Colorectal cancer, one entity or three

    Institute of Scientific and Technical Information of China (English)

    Feng-ying LI; Mao-de LAI

    2009-01-01

    Understanding of the mechanism ofcolorectal carcinogenesis has been gaining momentum for some years on account of its high incidence and impact on the lives of individuals affected. Different genetic abnormalities have been found in colorectal cancers from different sites. For example, proximal colon cancer is usually related to the nucleotide instability pathway, as mi-crosatellite instability (MSI). However, distal colon cancer is usually associated with specific chromosomal instability (CIN). The development of cancer at the rectum, though similar to that at the colon, displays its own unique features. These differences might be partially attributed to different embryological development and physiological circumstances. Environmental factors such as diet and alcohol intake also differ in their role in the development of tumors in the three segments, proximal colon, distal colon, and rectum. "Proximal shift" of colon cancer has been known for some time, and survival rates of colorectal cancer are higher when rectal cancers are excluded, both of which emphasize the three different segments of colorectal cancer and their different proper-ties. Meanwhile, colonic and rectal cancers are distinctive therapeutic entities. The concept of three entities of colorectal cancer may be important in designing clinical trails or therapeutic strategies. However, the dispute about the inconsistency of data con-ceming the site-specific mechanism of colorectal carcinoma does exist, and more evidence about molecular events of carcino-genesis and targeted therapy needs to be collected to definitely confirm the conception.

  10. The ethics of biomedical big data

    CERN Document Server

    Mittelstadt, Brent Daniel

    2016-01-01

    This book presents cutting edge research on the new ethical challenges posed by biomedical Big Data technologies and practices. ‘Biomedical Big Data’ refers to the analysis of aggregated, very large datasets to improve medical knowledge and clinical care. The book describes the ethical problems posed by aggregation of biomedical datasets and re-use/re-purposing of data, in areas such as privacy, consent, professionalism, power relationships, and ethical governance of Big Data platforms. Approaches and methods are discussed that can be used to address these problems to achieve the appropriate balance between the social goods of biomedical Big Data research and the safety and privacy of individuals. Seventeen original contributions analyse the ethical, social and related policy implications of the analysis and curation of biomedical Big Data, written by leading experts in the areas of biomedical research, medical and technology ethics, privacy, governance and data protection. The book advances our understan...

  11. "What's Your Name?": Names, Naming Practices, and Contextualized Selves of Young Korean American Children

    Science.gov (United States)

    Kim, Jinhee; Lee, Kyunghwa

    2011-01-01

    This study examined how young Korean American children and the adults around these children perform naming practices and what these practices mean to the children. As part of a large ethnographic study on Korean American children's peer culture in a heritage language school in the United States, data were collected by observing 11 prekindergarten…

  12. Application of an efficient Bayesian discretization method to biomedical data

    Directory of Open Access Journals (Sweden)

    Gopalakrishnan Vanathi

    2011-07-01

    Full Text Available Abstract Background Several data mining methods require data that are discrete, and other methods often perform better with discrete data. We introduce an efficient Bayesian discretization (EBD method for optimal discretization of variables that runs efficiently on high-dimensional biomedical datasets. The EBD method consists of two components, namely, a Bayesian score to evaluate discretizations and a dynamic programming search procedure to efficiently search the space of possible discretizations. We compared the performance of EBD to Fayyad and Irani's (FI discretization method, which is commonly used for discretization. Results On 24 biomedical datasets obtained from high-throughput transcriptomic and proteomic studies, the classification performances of the C4.5 classifier and the naïve Bayes classifier were statistically significantly better when the predictor variables were discretized using EBD over FI. EBD was statistically significantly more stable to the variability of the datasets than FI. However, EBD was less robust, though not statistically significantly so, than FI and produced slightly more complex discretizations than FI. Conclusions On a range of biomedical datasets, a Bayesian discretization method (EBD yielded better classification performance and stability but was less robust than the widely used FI discretization method. The EBD discretization method is easy to implement, permits the incorporation of prior knowledge and belief, and is sufficiently fast for application to high-dimensional data.

  13. Simbody: multibody dynamics for biomedical research

    OpenAIRE

    Sherman, Michael A.; Seth, Ajay; Delp, Scott L.

    2011-01-01

    Multibody software designed for mechanical engineering has been successfully employed in biomedical research for many years. For real time operation some biomedical researchers have also adapted game physics engines. However, these tools were built for other purposes and do not fully address the needs of biomedical researchers using them to analyze the dynamics of biological structures and make clinically meaningful recommendations. We are addressing this problem through the development of an...

  14. A Review of Biomedical Composite Materials

    Institute of Scientific and Technical Information of China (English)

    吴珊珊

    2013-01-01

    This article addresses the review of the biomedical composite materials.It introduces the operational definition,the classification of biomedical composite materials,and its constituents within itself.In this thesis,the last part presents the application of this kind of material.By writing this paper,I hope that people will get a comprehensive knowledge of the biomedical composite material and make further and deeper research in this material by which way to animate the material science industry.

  15. The Obligation to Participate in Biomedical Research

    OpenAIRE

    Schaefer, G. Owen; Emanuel, Ezekiel J; Wertheimer, Alan

    2009-01-01

    The prevailing view is that participation in biomedical research is above and beyond the call of duty. While some commentators have offered reasons against this, we propose a novel public goods argument for an obligation to participate in biomedical research. Biomedical knowledge is a public good, available to any individual even if that individual does not contribute to it. Participation in research is a critical way to support that important public good. Consequently, we all have a duty to ...

  16. Novel Hyperbranched Polyurethane Brushes for Biomedical Applications

    Institute of Scientific and Technical Information of China (English)

    Ton; Loontjens; Bart; Plum

    2007-01-01

    1 Results The objective was to make hyperbranched (HB) polyurethane brushes with reactive end groups, to coat biomedical devices and to enable the introduction of various functionalities that are needed to fulfill biomedical tasks.Biomedical materials should fulfill at least three requirements: (1) good mechanical properties, (2) good biocompatibility and (3) provided with functionalities to perform the required tasks. Since polyurethanes are able to fulfill the first 2 requirements we focused in this w...

  17. Searching Biomedical Text: Towards Maximum Relevant Results

    OpenAIRE

    Galde, Ola; Sevaldsen, John Harald

    2006-01-01

    The amount of biomedical information available to users today is large and increasing. The ability to precisely retrieve desired information is vital in order to utilize available knowledge. In this work we investigated how to improve the relevance of biomedical search results. Using the Lucene Java API we applied a series of information retrieval techniques to search in biomedical data. The techniques ranged from basic stemming and stop-word removal to more advanced methods like user relevan...

  18. Introduction to biomedical engineering technology

    CERN Document Server

    Street, Laurence J

    2011-01-01

    IntroductionHistory of Medical DevicesThe Role of Biomedical Engineering Technologists in Health CareCharacteristics of Human Anatomy and Physiology That Relate to Medical DevicesSummaryQuestionsDiagnostic Devices: Part OnePhysiological Monitoring SystemsThe HeartSummaryQuestionsDiagnostic Devices: Part TwoCirculatory System and BloodRespiratory SystemNervous SystemSummaryQuestionsDiagnostic Devices: Part ThreeDigestive SystemSensory OrgansReproductionSkin, Bone, Muscle, MiscellaneousChapter SummaryQuestionsDiagnostic ImagingIntroductionX-RaysMagnetic Resonance Imaging ScannersPositron Emissio

  19. Biomedical signal and image processing

    CERN Document Server

    Najarian, Kayvan

    2012-01-01

    INTRODUCTION TO DIGITAL SIGNAL AND IMAGE PROCESSINGSignals and Biomedical Signal ProcessingIntroduction and OverviewWhat is a ""Signal""?Analog, Discrete, and Digital SignalsProcessing and Transformation of SignalsSignal Processing for Feature ExtractionSome Characteristics of Digital ImagesSummaryProblemsFourier TransformIntroduction and OverviewOne-Dimensional Continuous Fourier TransformSampling and NYQUIST RateOne-Dimensional Discrete Fourier TransformTwo-Dimensional Discrete Fourier TransformFilter DesignSummaryProblemsImage Filtering, Enhancement, and RestorationIntroduction and Overview

  20. An introduction to biomedical instrumentation

    CERN Document Server

    Dewhurst, D J

    1976-01-01

    An Introduction to Biomedical Instrumentation presents a course of study and applications covering the basic principles of medical and biological instrumentation, as well as the typical features of its design and construction. The book aims to aid not only the cognitive domain of the readers, but also their psychomotor domain as well. Aside from the seminar topics provided, which are divided into 27 chapters, the book complements these topics with practical applications of the discussions. Figures and mathematical formulas are also given. Major topics discussed include the construction, handli

  1. National Space Biomedical Research Institute

    Science.gov (United States)

    1999-01-01

    This report summarizes the activities of the National Space Biomedical Research Institute (NSBRI) during FY 1999, the second full year of existence of the NSBRI's research program, and is prepared in accordance with Cooperative Agreement NCC9-58 between NASA's Lyndon B. Johnson Space Center and Baylor College of Medicine (NSBRI). The report consists of progress reports on projects related to the effects of microgravity and space on physiology. The research is broken up in nine areas: (1) Bone loss, (2) Cardiovascular alterations, (3) human performance, (3) immunology, infection and hematology, (4) muscle alterations and atrophy,(5) Neurovestibular adaptation, radiation effects, (6) technology development, and (7) synergy projects.

  2. Thermoresponsive Polymers for Biomedical Applications

    Directory of Open Access Journals (Sweden)

    Theoni K. Georgiou

    2011-08-01

    Full Text Available Thermoresponsive polymers are a class of “smart” materials that have the ability to respond to a change in temperature; a property that makes them useful materials in a wide range of applications and consequently attracts much scientific interest. This review focuses mainly on the studies published over the last 10 years on the synthesis and use of thermoresponsive polymers for biomedical applications including drug delivery, tissue engineering and gene delivery. A summary of the main applications is given following the different studies on thermoresponsive polymers which are categorized based on their 3-dimensional structure; hydrogels, interpenetrating networks, micelles, crosslinked micelles, polymersomes, films and particles.

  3. The SPECIES and ORGANISMS Resources for Fast and Accurate Identification of Taxonomic Names in Text

    DEFF Research Database (Denmark)

    Pafilis, Evangelos; Pletscher-Frankild, Sune; Fanini, Lucia;

    2013-01-01

    -based approach to named entity recognition, which we here use to identify names of species and other taxa in text. The tool, SPECIES, is more than an order of magnitude faster and as accurate as existing tools. The precision and recall was assessed both on an existing gold-standard corpus and on a new corpus...... of 800 abstracts, which were manually annotated after the development of the tool. The corpus comprises abstracts from journals selected to represent many taxonomic groups, which gives insights into which types of organism names are hard to detect and which are easy. Finally, we have tagged organism...

  4. Frontiers in biomedical engineering and biotechnology.

    Science.gov (United States)

    Liu, Feng; Goodarzi, Ali; Wang, Haifeng; Stasiak, Joanna; Sun, Jianbo; Zhou, Yu

    2014-01-01

    The 2nd International Conference on Biomedical Engineering and Biotechnology (iCBEB 2013), held in Wuhan on 11–13 October 2013, is an annual conference that aims at providing an opportunity for international and national researchers and practitioners to present the most recent advances and future challenges in the fields of Biomedical Information, Biomedical Engineering and Biotechnology. The papers published by this issue are selected from this conference, which witnesses the frontier in the field of Biomedical Engineering and Biotechnology, which particularly has helped improving the level of clinical diagnosis in medical work.

  5. Telemedicine optoelectronic biomedical data processing system

    Science.gov (United States)

    Prosolovska, Vita V.

    2010-08-01

    The telemedicine optoelectronic biomedical data processing system is created to share medical information for the control of health rights and timely and rapid response to crisis. The system includes the main blocks: bioprocessor, analog-digital converter biomedical images, optoelectronic module for image processing, optoelectronic module for parallel recording and storage of biomedical imaging and matrix screen display of biomedical images. Rated temporal characteristics of the blocks defined by a particular triggering optoelectronic couple in analog-digital converters and time imaging for matrix screen. The element base for hardware implementation of the developed matrix screen is integrated optoelectronic couples produced by selective epitaxy.

  6. Basics of biomedical ultrasound for engineers

    CERN Document Server

    Azhari, Haim

    2010-01-01

    "Basics of Biomedical Ultrasound for Engineers is a structured textbook for university engineering courses in biomedical ultrasound and for researchers in the field. This book offers a tool for building a solid understanding of biomedical ultrasound, and leads the novice through the field in a step-by-step manner. The book begins with the most basic definitions of waves, proceeds to ultrasounds in fluids, and then delves into solid ultrasounds, the most complicated kind of ultrasound. It encompasses a wide range of topics within biomedical ultrasound, from conceptual definitions of waves to the intricacies of focusing devices, transducers, and acoustic fields"--Provided by publisher.

  7. Superhydrophobic materials for biomedical applications.

    Science.gov (United States)

    Falde, Eric J; Yohe, Stefan T; Colson, Yolonda L; Grinstaff, Mark W

    2016-10-01

    Superhydrophobic surfaces are actively studied across a wide range of applications and industries, and are now finding increased use in the biomedical arena as substrates to control protein adsorption, cellular interaction, and bacterial growth, as well as platforms for drug delivery devices and for diagnostic tools. The commonality in the design of these materials is to create a stable or metastable air layer at the material surface, which lends itself to a number of unique properties. These activities are catalyzing the development of new materials, applications, and fabrication techniques, as well as collaborations across material science, chemistry, engineering, and medicine given the interdisciplinary nature of this work. The review begins with a discussion of superhydrophobicity, and then explores biomedical applications that are utilizing superhydrophobicity in depth including material selection characteristics, in vitro performance, and in vivo performance. General trends are offered for each application in addition to discussion of conflicting data in the literature, and the review concludes with the authors' future perspectives on the utility of superhydrophobic biomaterials for medical applications. PMID:27449946

  8. Biomedical applications of control engineering

    CERN Document Server

    Hacısalihzade, Selim S

    2013-01-01

    Biomedical Applications of Control Engineering is a lucidly written textbook for graduate control engin­eering and biomedical engineering students as well as for medical prac­ti­tioners who want to get acquainted with quantitative methods. It is based on decades of experience both in control engineering and clinical practice.   The book begins by reviewing basic concepts of system theory and the modeling process. It then goes on to discuss control engineering application areas like ·         Different models for the human operator, ·         Dosage and timing optimization in oral drug administration, ·         Measuring symptoms of and optimal dopaminergic therapy in Parkinson’s disease, ·         Measure­ment and control of blood glucose le­vels both naturally and by means of external controllers in diabetes, and ·         Control of depth of anaesthesia using inhalational anaesthetic agents like sevoflurane using both fuzzy and state feedback controllers....

  9. ADD psychosis as a separate entity.

    Science.gov (United States)

    Bellak, L

    1985-01-01

    "Attention deficit disorder (ADD) psychosis" merits delineation as a separate entity. It constitutes the end result of the effects of a certain particular neurological deficit (ADD) on personality organization. It is my belief that about 10 percent of psychoses currently diagnosed most often schizophrenic and sometimes affective psychosis must best be considered a separate organic psychosis, i.e., an ADD psychosis. This ADD psychosis, then, is not merely a subgroup of schizophrenia, as I once thought. It merits a separate designation because its etiology, pathogenesis, and life history are different from those of the schizophrenic syndrome. The family histories are also different, as are the psychological findings. The treatment response is so different that it merits urgent consideration. Prognosis, both short range and long range, also seems different from those of the other psychoses. PMID:4081648

  10. Database design using entity-relationship diagrams

    CERN Document Server

    Bagui, Sikha

    2011-01-01

    Data, Databases, and the Software Engineering ProcessDataBuilding a DatabaseWhat is the Software Engineering Process?Entity Relationship Diagrams and the Software Engineering Life Cycle          Phase 1: Get the Requirements for the Database          Phase 2: Specify the Database          Phase 3: Design the DatabaseData and Data ModelsFiles, Records, and Data ItemsMoving from 3 × 5 Cards to ComputersDatabase Models     The Hierarchical ModelThe Network ModelThe Relational ModelThe Relational Model and Functional DependenciesFundamental Relational DatabaseRelational Database and SetsFunctional

  11. Malignant struma ovarii: a rare oncologic entity

    International Nuclear Information System (INIS)

    Struma ovarii (SO) malignant is a rare ovarian teratoid tumor, consisting predominantly of thyroid tissue. It has low incidence and a few cases described by the literature. Usually appears in the 4th or 5th decade of life. Generally they are diagnosed after surgery, being the diagnostic reserved for the lesions on the ectopic thyroid tissue based on cellular atypia, mitotic activity, capsular invasion and metastases. Due to its rarity,it does not still have a consensus about the best therapeutical management and protocol of accompaniment for patients with this neoplastic entity. This article reports a case of a patient with malignant S O, reviewing the relevant aspects of the literature. (author)

  12. [Schizoaffective disorder: An arguable diagnostic entity].

    Science.gov (United States)

    Garyfallos, G D

    2008-07-01

    Seventy-five years ago, J. Kasanin introduced the term "schizoaffective disorder" to refer to a disorder with symptoms of both schizophrenia and affective disorders. Since then, schizoaffective disorder has raised a considerable amount of discussion about its definition and position as a variant of schizophrenia, a variant of mood disorder or as an entity in between. This ambiguity is reflected on the definition of diagnostic criteria of the disorder in the taxonomic systems, which are practically too complex. Furthermore, there are essential differences between DSM-IV and ICD-10 regarding schizoaffective definition. Finally, the disorder has a very low inter-rater reliability and a very low longitudinal diagnostic stability. All the above have even led to proposals of elimination of schizoaffective disorder as a separate diagnostic entity. The prevalence of the disorder varies between 0.3% and 0.8%. Schizoaf fective disorder is more common in women than in men, a dif ference that is mostly attributed to increased incidence among women of the depressive type. The bipolar type of the disorder is more often found in young adults, whereas the depressive type is commoner in older adults. With regards to other variables such as educational level, marital status, prognosis, occupational level and social adjustment, schizoaffective disorder has more favourable characteristics than schizophrenia and less favourable than mood disorders. Age at onset is earlier than mood disorders and later than schizophrenia. The above epidemiologic and clinical data, as well as data from family, twin, genetic and neuroimaging studies, indicate that schizoaffective disorder can be best viewed as a mid-point on a continuum between schizophrenia and mood disorders and represents the most prominent paradigm challenging the so-called "Kraepelinian dichotomy" of major psychiatric disorders. Though schizoaffective disorder is a nosological nuisance, it is also a clinical reality and it is not

  13. The Myths behind Flower Names

    Institute of Scientific and Technical Information of China (English)

    白杰

    2014-01-01

    The Greek term for flower is Chloris. It is derived from the name of the Chloris, the goddess of vegetation, in Greek mythology, reasonably so, if we consider the great number of mythological tales linked to flowers of the Greek flowers. The use of flowers was widespread in Greece from time immemorial, since flowers are so important to us from the moment we are born. Flowers play an important role in mythology. As they morph from bud to bloom to faded and wilted petals, they assume various meanings linked to youth, life and death. They are associated with goddesses and legends, and are often attributed with certain powers and symbolism.

  14. Santa Claus ’Names

    Institute of Scientific and Technical Information of China (English)

    寒冰

    2005-01-01

    A ustria—Christkind Belgium and the N etherlands—N oel Saint Nicholas C hristkind and Black Pete Brazil—Papa;N oel D enm ark—Julinisse England—Father Christm as Finland—O ld M an C hristm asFrance—Pere N oel or le Petit Germ any—K riss Kringle Christkind or Saint N icholas Italy—B efana Japan—Santa K urohsu M exico—Three Kings Poland—Star M an or W ise M en Spain—Three Kings R ussia—B asbouschka ?Santa Claus ’Names@寒冰

  15. Team names of the NBA

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    The entry of Yao Ming into the National Basketball Association has created millions of new NBA fans in China.Although teams such as the Rockets and the Lakers have become well known in Chi- na,very few Chinese fans know the stories behind the NBA’s team names. The NBA is divided into the Eastern and Western Conferences.The two conferences are split a- long the Mississippi River,which is the traditional East-West dividing line in the United States.

  16. Semi-supervised learning of causal relations in biomedical scientific discourse

    Science.gov (United States)

    2014-01-01

    Background The increasing number of daily published articles in the biomedical domain has become too large for humans to handle on their own. As a result, bio-text mining technologies have been developed to improve their workload by automatically analysing the text and extracting important knowledge. Specific bio-entities, bio-events between these and facts can now be recognised with sufficient accuracy and are widely used by biomedical researchers. However, understanding how the extracted facts are connected in text is an extremely difficult task, which cannot be easily tackled by machinery. Results In this article, we describe our method to recognise causal triggers and their arguments in biomedical scientific discourse. We introduce new features and show that a self-learning approach improves the performance obtained by supervised machine learners to 83.47% for causal triggers. Furthermore, the spans of causal arguments can be recognised to a slightly higher level that by using supervised or rule-based methods that have been employed before. Conclusion Exploiting the large amount of unlabelled data that is already available can help improve the performance of recognising causal discourse relations in the biomedical domain. This improvement will further benefit the development of multiple tasks, such as hypothesis generation for experimental laboratories, contradiction detection, and the creation of causal networks. PMID:25559746

  17. Learning Correlations between Linguistic Indicators and Semantic Constraints Reuse of Context-Dependent Descriptions of Entities

    CERN Document Server

    Radev, D R

    1998-01-01

    This paper presents the results of a study on the semantic constraints imposed on lexical choice by certain contextual indicators. We show how such indicators are computed and how correlations between them and the choice of a noun phrase description of a named entity can be automatically established using supervised learning. Based on this correlation, we have developed a technique for automatic lexical choice of descriptions of entities in text generation. We discuss the underlying relationship between the pragmatics of choosing an appropriate description that serves a specific purpose in the automatically generated text and the semantics of the description itself. We present our work in the framework of the more general concept of reuse of linguistic structures that are automatically extracted from large corpora. We present a formal evaluation of our approach and we conclude with some thoughts on potential applications of our method.

  18. The Semanticscience Integrated Ontology (SIO) for biomedical research and knowledge discovery.

    Science.gov (United States)

    Dumontier, Michel; Baker, Christopher Jo; Baran, Joachim; Callahan, Alison; Chepelev, Leonid; Cruz-Toledo, José; Del Rio, Nicholas R; Duck, Geraint; Furlong, Laura I; Keath, Nichealla; Klassen, Dana; McCusker, James P; Queralt-Rosinach, Núria; Samwald, Matthias; Villanueva-Rosales, Natalia; Wilkinson, Mark D; Hoehndorf, Robert

    2014-03-06

    The Semanticscience Integrated Ontology (SIO) is an ontology to facilitate biomedical knowledge discovery. SIO features a simple upper level comprised of essential types and relations for the rich description of arbitrary (real, hypothesized, virtual, fictional) objects, processes and their attributes. SIO specifies simple design patterns to describe and associate qualities, capabilities, functions, quantities, and informational entities including textual, geometrical, and mathematical entities, and provides specific extensions in the domains of chemistry, biology, biochemistry, and bioinformatics. SIO provides an ontological foundation for the Bio2RDF linked data for the life sciences project and is used for semantic integration and discovery for SADI-based semantic web services. SIO is freely available to all users under a creative commons by attribution license. See website for further information: http://sio.semanticscience.org.

  19. Quantitative biomedical annotation using medical subject heading over-representation profiles (MeSHOPs

    Directory of Open Access Journals (Sweden)

    Cheung Warren A

    2012-09-01

    Full Text Available Abstract Background MEDLINE®/PubMed® indexes over 20 million biomedical articles, providing curated annotation of its contents using a controlled vocabulary known as Medical Subject Headings (MeSH. The MeSH vocabulary, developed over 50+ years, provides a broad coverage of topics across biomedical research. Distilling the essential biomedical themes for a topic of interest from the relevant literature is important to both understand the importance of related concepts and discover new relationships. Results We introduce a novel method for determining enriched curator-assigned MeSH annotations in a set of papers associated to a topic, such as a gene, an author or a disease. We generate MeSH Over-representation Profiles (MeSHOPs to quantitatively summarize the annotations in a form convenient for further computational analysis and visualization. Based on a hypergeometric distribution of assigned terms, MeSHOPs statistically account for the prevalence of the associated biomedical annotation while highlighting unusually prevalent terms based on a specified background. MeSHOPs can be visualized using word clouds, providing a succinct quantitative graphical representation of the relative importance of terms. Using the publication dates of articles, MeSHOPs track changing patterns of annotation over time. Since MeSHOPs are quantitative vectors, MeSHOPs can be compared using standard techniques such as hierarchical clustering. The reliability of MeSHOP annotations is assessed based on the capacity to re-derive the subset of the Gene Ontology annotations with equivalent MeSH terms. Conclusions MeSHOPs allows quantitative measurement of the degree of association between any entity and the annotated medical concepts, based directly on relevant primary literature. Comparison of MeSHOPs allows entities to be related based on shared medical themes in their literature. A web interface is provided for generating and visualizing MeSHOPs.

  20. WCF multi-layer services development with Entity framework

    CERN Document Server

    Liu, Mike

    2014-01-01

    If you are a C#, VB.NET, or C++ developer and want to get started with WCF and Entity Framework, then this book is for you. Competence in Entity Framework will be needed to follow the examples in the book, but experience in creating WCF services using Entity Framework is not necessary. Developers and architects evaluating SOA implementation technologies for their company will find this book useful.

  1. THE ROLE OF INTERNAL AUDIT WITHIN PUBLIC ENTITIES

    Directory of Open Access Journals (Sweden)

    MARIA MORARU

    2012-05-01

    Full Text Available The auditors have a key role in the development of modern economics and accounting rules in progress. Auditing is a profession that has emerged over the years trying to meet the changing needs which public entities have. Public internal audit activities role is to improve public entities providing management advice for the proper administration of public revenues and expenditures. This paper presents the role of internal audit as a tool in changing the mentality of management and employees of entities.

  2. Detecting Adjacent Relativity of Engineering Drawing Entities with Container Window

    Institute of Scientific and Technical Information of China (English)

    林福严; 邱友申; 秦吉胜

    2001-01-01

    Automatic recognition and interpretation of engineering drawing plays an important role in computer aided engineering. Detecting the positional relation between entities is an important topic in this research field. In this paper the concepts of adjacent relativity and container window of drawing entities were proposed. By means of container window, the adjacent irrelative entities can be detected quickly and effectively, which speeds up the process of adjacent relativity detection. Meanwhile, the algorithm of adjacent relativity detection was discussed.

  3. Public Corporate Governance for Public-sector Entities

    OpenAIRE

    Markus Hafele

    2008-01-01

    This article describes the development of the implementation of a Public Corporate Governance Code for public-sector entities in Germany. It provides a description of a wholly process to implement such regulations for public authority and its entities to improve corporate management, accountability and transparency of the public sector in Germany. Public and private-sector entities operating on the free market must generally be treated equally. Conversely, this means that the public authoriti...

  4. Biomedical engineering research at DOE national labs

    Energy Technology Data Exchange (ETDEWEB)

    None

    1999-03-01

    Biomedical Engineering is the application of principles of physics, chemistry, nd engineering to problems of human health. The National Laboratories of the U.S. Department of Energy have been leaders in this scientific field since 1947. This inventory of their biomedical engineering projects was compiled in January 1999.

  5. Magnetic Resonance Imaging in Biomedical Engineering

    Science.gov (United States)

    Kaśpar, Jan; Hána, Karel; Smrčka, Pavel; Brada, Jiří; Beneš, Jiří; Šunka, Pavel

    2007-11-01

    The basic principles of magnetic resonance imaging covering physical principles and basic imaging techniques will be presented as a strong tool in biomedical engineering. Several applications of MRI in biomedical research practiced at the MRI laboratory of the FBMI CTU including other laboratory instruments and activities are introduced.

  6. Cross language information retrieval for biomedical literature

    NARCIS (Netherlands)

    Schuemie, M.; Trieschnigg, D.; Kraaij, W.

    2007-01-01

    This workshop report discusses the collaborative work of UT, EMC and TNO on the TREC Genomics Track 2007. The biomedical information retrieval task is approached using cross language methods, in which biomedical concept detection is combined with effective IR based on unigram language models. Furthe

  7. A new educational program on biomedical engineering

    NARCIS (Netherlands)

    Alste, van J.A.

    2000-01-01

    At the University of Twente together with the Free University of Amsterdam a new educational program on Biomedical Engineering will be developed. The academic program with a five-year duration will start in September 2001. After a general, broad education in Biomedical Engineering in the first three

  8. Biomedical Journals and the World Wide Web.

    Science.gov (United States)

    Schoonbaert, Dirk

    1998-01-01

    Discusses the publication of biomedical journals on the Internet. Highlights include pros and cons of electronic publishing; the Global Health Network at the University of Pittsburgh; the availability of biomedical journals on the World Wide Web; current applications, including access to journal contents tables and electronic delivery of full-text…

  9. How Well can We Learn Interpretable Entity Types from Text?

    DEFF Research Database (Denmark)

    Hovy, Dirk

    2014-01-01

    We investigate a largely unsupervised approach to learning interpretable, domain-specific entity types from unlabeled text. It assumes that any common noun in a domain can function as potential entity type, and uses those nouns as hidden variables in a HMM. To constrain training, it extracts co......-occurrence dictionaries of entities and common nouns from the data. We evaluate the learned types by measuring their prediction accuracy for verb arguments in several domains. The results suggest that it is possible to learn domain-specific entity types from unlabeled data. We show significant improvements over...

  10. System for Award Management (SAM) Public Extract - Entity Registration

    Data.gov (United States)

    General Services Administration — This dataset contains the information available under the Freedom of Information Act (FOIA) for those entities registered to do business with the Federal government...

  11. An evaluative conservative case for biomedical enhancement.

    Science.gov (United States)

    Danaher, John

    2016-09-01

    It is widely believed that a conservative moral outlook is opposed to biomedical forms of human enhancement. In this paper, I argue that this widespread belief is incorrect. Using Cohen's evaluative conservatism as my starting point, I argue that there are strong conservative reasons to prioritise the development of biomedical enhancements. In particular, I suggest that biomedical enhancement may be essential if we are to maintain our current evaluative equilibrium (ie, the set of values that undergird and permeate our current political, economic and personal lives) against the threats to that equilibrium posed by external, non-biomedical forms of enhancement. I defend this view against modest conservatives who insist that biomedical enhancements pose a greater risk to our current evaluative equilibrium, and against those who see no principled distinction between the forms of human enhancement. PMID:27354246

  12. An evaluative conservative case for biomedical enhancement.

    Science.gov (United States)

    Danaher, John

    2016-09-01

    It is widely believed that a conservative moral outlook is opposed to biomedical forms of human enhancement. In this paper, I argue that this widespread belief is incorrect. Using Cohen's evaluative conservatism as my starting point, I argue that there are strong conservative reasons to prioritise the development of biomedical enhancements. In particular, I suggest that biomedical enhancement may be essential if we are to maintain our current evaluative equilibrium (ie, the set of values that undergird and permeate our current political, economic and personal lives) against the threats to that equilibrium posed by external, non-biomedical forms of enhancement. I defend this view against modest conservatives who insist that biomedical enhancements pose a greater risk to our current evaluative equilibrium, and against those who see no principled distinction between the forms of human enhancement.

  13. Applications of computational intelligence in biomedical technology

    CERN Document Server

    Majernik, Jaroslav; Pancerz, Krzysztof; Zaitseva, Elena

    2016-01-01

    This book presents latest results and selected applications of Computational Intelligence in Biomedical Technologies. Most of contributions deal with problems of Biomedical and Medical Informatics, ranging from theoretical considerations to practical applications. Various aspects of development methods and algorithms in Biomedical and Medical Informatics as well as Algorithms for medical image processing, modeling methods are discussed. Individual contributions also cover medical decision making support, estimation of risks of treatments, reliability of medical systems, problems of practical clinical applications and many other topics  This book is intended for scientists interested in problems of Biomedical Technologies, for researchers and academic staff, for all dealing with Biomedical and Medical Informatics, as well as PhD students. Useful information is offered also to IT companies, developers of equipment and/or software for medicine and medical professionals.  .

  14. Biomedical Perspective of Electrochemical Nanobiosensor

    Institute of Scientific and Technical Information of China (English)

    Priti Singh; Shailendra Kumar Pandey; Jyoti Singh; Sameer Srivastava; Sadhana Sachan; Sunil Kumar Singh

    2016-01-01

    Electrochemical biosensor holds great promise in the biomedical area due to its enhanced specificity, sensi-tivity, label-free nature and cost effectiveness for rapid point-of-care detection of diseases at bedside. In this review, we are focusing on the working principle of electrochemical biosensor and how it can be employed in detecting biomarkers of fatal diseases like cancer, AIDS, hepatitis and cardiovascular diseases. Recent advances in the development of implantable biosensors and exploration of nanomaterials in fabrication of electrodes with increasing the sensitivity of biosensor for quick and easy detection of biomolecules have been elucidated in detail. Electrochemical-based detection of heavy metal ions which cause harmful effect on human health has been discussed. Key challenges associated with the electrochemical sensor and its future perspectives are also addressed.

  15. Biomedical Applications of Simulated Environments .

    Directory of Open Access Journals (Sweden)

    W. Selvamurthy

    1993-07-01

    Full Text Available Environmental physiology assumes great significance in our national context of the diverse climatic conditions prevailing in different regions. Troops have to operate in diverse environmental conditions guarding the frontiers. Hence, the research in this area has been focused on the usage of field studies in the natural environments or simulated environments in the laboratory. Besides, the application of the simulation chambers in the research on the physiological effects of diverse environments, these studies may have applications in the control and management of certain clinical disorders. Some simulation chambers and specilised set-ups have been designed and developed at the Defence Institute of Physiology and Allied Sciences to carry out simulation studies. This paper describes these developments and the potentials of these biomedical applications of simulated environments.

  16. Tritium AMS for biomedical applications

    Energy Technology Data Exchange (ETDEWEB)

    Roberts, M.L.; Velsko, C.; Turteltaub, K.W.

    1993-08-01

    We are developing {sup 3}H-AMS to measure {sup 3}H activity of mg-sized biological samples. LLNL has already successfully applied {sup 14}C AMS to a variety of problems in the area of biomedical research. Development of {sup 3}H AMS would greatly complement these studies. The ability to perform {sup 3}H AMS measurements at sensitivities equivalent to those obtained for {sup 14}C will allow us to perform experiments using compounds that are not readily available in {sup 14}C-tagged form. A {sup 3}H capability would also allow us to perform unique double-labeling experiments in which we learn the fate, distribution, and metabolism of separate fractions of biological compounds.

  17. Biomedical wellness challenges and opportunities

    Science.gov (United States)

    Tangney, John F.

    2012-06-01

    The mission of ONR's Human and Bioengineered Systems Division is to direct, plan, foster, and encourage Science and Technology in cognitive science, computational neuroscience, bioscience and bio-mimetic technology, social/organizational science, training, human factors, and decision making as related to future Naval needs. This paper highlights current programs that contribute to future biomedical wellness needs in context of humanitarian assistance and disaster relief. ONR supports fundamental research and related technology demonstrations in several related areas, including biometrics and human activity recognition; cognitive sciences; computational neurosciences and bio-robotics; human factors, organizational design and decision research; social, cultural and behavioral modeling; and training, education and human performance. In context of a possible future with automated casualty evacuation, elements of current science and technology programs are illustrated.

  18. Piezoelectric nanomaterials for biomedical applications

    CERN Document Server

    Menciassi, Arianna

    2012-01-01

    Nanoscale structures and materials have been explored in many biological applications because of their novel and impressive physical and chemical properties. Such properties allow remarkable opportunities to study and interact with complex biological processes. This book analyses the state of the art of piezoelectric nanomaterials and introduces their applications in the biomedical field. Despite their impressive potentials, piezoelectric materials have not yet received significant attention for bio-applications. This book shows that the exploitation of piezoelectric nanoparticles in nanomedicine is possible and realistic, and their impressive physical properties can be useful for several applications, ranging from sensors and transducers for the detection of biomolecules to “sensible” substrates for tissue engineering or cell stimulation.

  19. Biomedical Wireless Ambulatory Crew Monitor

    Science.gov (United States)

    Chmiel, Alan; Humphreys, Brad

    2009-01-01

    A compact, ambulatory biometric data acquisition system has been developed for space and commercial terrestrial use. BioWATCH (Bio medical Wireless and Ambulatory Telemetry for Crew Health) acquires signals from biomedical sensors using acquisition modules attached to a common data and power bus. Several slots allow the user to configure the unit by inserting sensor-specific modules. The data are then sent real-time from the unit over any commercially implemented wireless network including 802.11b/g, WCDMA, 3G. This system has a distributed computing hierarchy and has a common data controller on each sensor module. This allows for the modularity of the device along with the tailored ability to control the cards using a relatively small master processor. The distributed nature of this system affords the modularity, size, and power consumption that betters the current state of the art in medical ambulatory data acquisition. A new company was created to market this technology.

  20. Peptide nanostructures in biomedical technology.

    Science.gov (United States)

    Feyzizarnagh, Hamid; Yoon, Do-Young; Goltz, Mark; Kim, Dong-Shik

    2016-09-01

    Nanostructures of peptides have been investigated for biomedical applications due to their unique mechanical and electrical properties in addition to their excellent biocompatibility. Peptides may form fibrils, spheres and tubes in nanoscale depending on the formation conditions. These peptide nanostructures can be used in electrical, medical, dental, and environmental applications. Applications of these nanostructures include, but are not limited to, electronic devices, biosensing, medical imaging and diagnosis, drug delivery, tissue engineering and stem cell research. This review offers a discussion of basic synthesis methods, properties and application of these nanomaterials. The review concludes with recommendations and future directions for peptide nanostructures. WIREs Nanomed Nanobiotechnol 2016, 8:730-743. doi: 10.1002/wnan.1393 For further resources related to this article, please visit the WIREs website. PMID:26846352

  1. Comparative Analysis and Cultivation of New Agricultural Business Entities Based on Comparison of Family Farms and Professional Cooperatives

    Institute of Scientific and Technical Information of China (English)

    Fang; YANG; Xingxi; LIU; Yingliang; ZHANG

    2014-01-01

    Cultivating new bussiness entities is the key to speeding up improving new agricultural production and operating system.This study discussed two representative entities under the agricultural production and operating system based on household contract management,namely,family farms and cooperatives.It introduced current development status of these two entities in Chongqing region,and discussed prominent problems of understanding,management,fund,personnel,technology,information,and system in the development process.In line with common problems such as single production structure and short supply of agricultural insurance,and different problems like organizational degree,it made comparative analysis.Finally,it is concluded that different institutional arrangement and pertinent support policy according to different development characteristics.

  2. Prolonged ulcerative laryngitis: a new disease entity.

    Science.gov (United States)

    Hsiao, Tzu-Yu

    2011-03-01

    Over the last decade, a new disease entity, prolonged ulcerative laryngitis (PUL), with unique clinical presentation and prolonged disease course, has been recognized. Until now, very few studies dealing with this disease have been reported in the literature. From 1999 to 2008, we analyzed clinical data from a series of 39 PUL patients who were treated with an observational approach without implementing specific treatments. This disease affects adults, predominantly females. The age of patients in our series ranged from 26 to 76 years with a median of 49.5 years. This disease is characterized by ulcers and signs of acute inflammation on the membranous portion of the vocal folds with a prolonged clinical course. The recovery times of patients ranged from 4 to 20 weeks with an average of 9.4 weeks. The data in this study may reflect a natural history of this disease. PUL seems to be a self-limited disease, but the etiology of this disease is unknown. Specific infections or systemic inflammatory processes involving the larynx must be ruled out before diagnosis, and conservative treatments are suggested.

  3. Building entity models through observation and learning

    Science.gov (United States)

    Garcia, Richard; Kania, Robert; Fields, MaryAnne; Barnes, Laura

    2011-05-01

    To support the missions and tasks of mixed robotic/human teams, future robotic systems will need to adapt to the dynamic behavior of both teammates and opponents. One of the basic elements of this adaptation is the ability to exploit both long and short-term temporal data. This adaptation allows robotic systems to predict/anticipate, as well as influence, future behavior for both opponents and teammates and will afford the system the ability to adjust its own behavior in order to optimize its ability to achieve the mission goals. This work is a preliminary step in the effort to develop online entity behavior models through a combination of learning techniques and observations. As knowledge is extracted from the system through sensor and temporal feedback, agents within the multi-agent system attempt to develop and exploit a basic movement model of an opponent. For the purpose of this work, extraction and exploitation is performed through the use of a discretized two-dimensional game. The game consists of a predetermined number of sentries attempting to keep an unknown intruder agent from penetrating their territory. The sentries utilize temporal data coupled with past opponent observations to hypothesize the probable locations of the opponent and thus optimize their guarding locations.

  4. A Colossus Gets its Name

    Science.gov (United States)

    2007-10-01

    Today, the first of the two ALMA antenna transporters was given its name at a ceremony on the compounds of the manufacturer, the heavy-vehicle specialist Scheuerle Fahrzeugfabrik GmbH, in Baden-Württemberg. The colossus, 10 metres wide, 20 metres long and 6 metres high, will be shipped to Chile by the end of the month. The second one will follow in a few weeks. ESO PR Photo 45a/07 ESO PR Photo 45a/07 The ALMA Antenna Transprorter The transporter was named 'Otto' in honour of Otto Rettenmaier, the owner of the Scheuerle company. "The rather unusual move to name a vehicle is a recognition of the remarkable achievement these unique machines represent," said Hans Rykaczewski, the European ALMA Project Manager. "Their sizes alone would justify using superlatives to describe them. But they are also outstanding as they will operate at 5000 metres altitude, where the air is rare, and they have to be able to place 115-ton antennas with a precision of a few millimetres," he added. "The ALMA antenna transporters are the proof of the excellence of our staff and of our ability to build heavy vehicles that are at the limits of the possible," said Otto Rettenmaier. "Never in the history of our company have we had to comply with such exceptional requirements on material and techniques as we had to do with these machines. We are proud as a company to have been able to contribute with such an exceptional piece of technology for astronomical research." The ALMA Project, in which ESO leads the construction and the operations on behalf of Europe, is a giant, international observatory currently in construction on the high-altitude Chajnantor site in Chile, which will be composed initially of 66 high-precision telescopes, operating at wavelengths of 0.3 to 9.6 mm. The ALMA antennas will be electronically combined and provide astronomical observations which are equivalent to a single large telescope of tremendous size and resolution. The 66 antennas of the array can be placed on 192

  5. Education of biomedical engineering in Taiwan.

    Science.gov (United States)

    Lin, Kang-Ping; Kao, Tsair; Wang, Jia-Jung; Chen, Mei-Jung; Su, Fong-Chin

    2014-01-01

    Biomedical Engineers (BME) play an important role in medical and healthcare society. Well educational programs are important to support the healthcare systems including hospitals, long term care organizations, manufacture industries of medical devices/instrumentations/systems, and sales/services companies of medical devices/instrumentations/system. In past 30 more years, biomedical engineering society has accumulated thousands people hold a biomedical engineering degree, and work as a biomedical engineer in Taiwan. Most of BME students can be trained in biomedical engineering departments with at least one of specialties in bioelectronics, bio-information, biomaterials or biomechanics. Students are required to have internship trainings in related institutions out of campus for 320 hours before graduating. Almost all the biomedical engineering departments are certified by IEET (Institute of Engineering Education Taiwan), and met the IEET requirement in which required mathematics and fundamental engineering courses. For BMEs after graduation, Taiwanese Society of Biomedical Engineering (TSBME) provides many continue-learning programs and certificates for all members who expect to hold the certification as a professional credit in his working place. In current status, many engineering departments in university are continuously asked to provide joint programs with BME department to train much better quality students. BME is one of growing fields in Taiwan.

  6. 43 CFR 426.8 - Nonresident aliens and foreign entities.

    Science.gov (United States)

    2010-10-01

    ... 43 Public Lands: Interior 1 2010-10-01 2010-10-01 false Nonresident aliens and foreign entities..., DEPARTMENT OF THE INTERIOR ACREAGE LIMITATION RULES AND REGULATIONS § 426.8 Nonresident aliens and foreign... reclamation law or these regulations, a nonresident alien or foreign entity that directly holds land in...

  7. 31 CFR 306.88 - Political entities and public corporations.

    Science.gov (United States)

    2010-07-01

    ... 31 Money and Finance: Treasury 2 2010-07-01 2010-07-01 false Political entities and public... GOVERNING U.S. SECURITIES Assignments in Behalf of Private or Public Organizations § 306.88 Political..., city, town, village, school district or other political entity, public body or corporation, may...

  8. 37 CFR 253.2 - Definition of public broadcasting entity.

    Science.gov (United States)

    2010-07-01

    ... CONNECTION WITH NONCOMMERCIAL EDUCATIONAL BROADCASTING § 253.2 Definition of public broadcasting entity. As... 37 Patents, Trademarks, and Copyrights 1 2010-07-01 2010-07-01 false Definition of public broadcasting entity. 253.2 Section 253.2 Patents, Trademarks, and Copyrights COPYRIGHT OFFICE, LIBRARY...

  9. 78 FR 45051 - Unincorporated Business Entities; Effective Date

    Science.gov (United States)

    2013-07-26

    ... institutions' use of unincorporated business entities organized under State law for certain business activities... business entities (UBEs) organized under State law for certain business activities. A UBE includes limited... business trusts, organized under State law. The final rule does not apply to UBEs that one or more...

  10. Event-Entity-Relationship Modeling in Data Warehouse Environments

    DEFF Research Database (Denmark)

    Bækgaard, Lars

    We use the event-entity-relationship model (EVER) to illustrate the use of entity-based modeling languages for conceptual schema design in data warehouse environments. EVER is a general-purpose information modeling language that supports the specification of both general schema structures and multi...

  11. 14 CFR Sec. 1-6 - Accounting entities.

    Science.gov (United States)

    2010-01-01

    ... 14 Aeronautics and Space 4 2010-01-01 2010-01-01 false Accounting entities. Sec. 1-6 Section 1-6... REGULATIONS UNIFORM SYSTEM OF ACCOUNTS AND REPORTS FOR LARGE CERTIFICATED AIR CARRIERS General Accounting Provisions Sec. 1-6 Accounting entities. (a) Separate accounting records shall be maintained for each...

  12. On the Meaning of Name in Plato’s Cratylus Dialogue and the Epic Tales of Dede Korkut

    Directory of Open Access Journals (Sweden)

    Vefa Taşdelen

    2015-12-01

    Full Text Available Being given a name and giving a name are the most basic features of human being. He gives a name to himself as well as other entities in the universe he lives; recognizes them with names and provides introduction; establishes a relationship with them over the names. Everything manifesting itself to human consciousness in the universe and having a relationship with people have a name. From this perspective, giving a name is a problem with language and the origin of language. Asking the origin of names is to ask the origin of language; asking the relationship between names with regard to objects is to ask the relationship between language and reality and increasingly truth. The first work on names hence the philosophy of language was of Plato. Cratylus dialogue among his age of maturity dialogues where he developed his idealistic philosophy was the first work on names and hence the philosophy of language.  In this dialogue, two points of view face each other. One of them is conventionalist approach of Hermogenes and the other is naturalist approach of Cratylus.   In this frame, the answer will be sought to the following questions: In Tales of Dede Korkut, (1 What is the function of names? (2 How many correct names does a thing/object have? (3 What kind of relationship can be achieved between objects and names? (4 Who gives the names?

  13. Recent developments in intelligent biomedical polymers

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    Intelligent polymers or stimuli-responsive polymers may exhibit distinct transitions in physical-chemical properties, including conformation, polarity, phase structure and chemical composition in response to changes in environmental stimuli. Due to their unique ’intelligent’ characteristics, stimuli-sensitive polymers have found a wide variety of applications in biomedical and nanotechnological fields. This review focuses on the recent developments in biomedical application of intelligent polymer systems, such as intelligent hydrogel systems, intelligent drug delivery systems and intelligent molecular recognition systems. Also, the possible future directions for the application of these intelligent polymer systems in the biomedical field are presented.

  14. Enhancing biomedical design with design thinking.

    Science.gov (United States)

    Kemnitzer, Ronald; Dorsa, Ed

    2009-01-01

    The development of biomedical equipment is justifiably focused on making products that "work." However, this approach leaves many of the people affected by these designs (operators, patients, etc.) with little or no representation when it comes to the design of these products. Industrial design is a "user focused" profession which takes into account the needs of diverse groups when making design decisions. The authors propose that biomedical equipment design can be enhanced, made more user and patient "friendly" by adopting the industrial design approach to researching, analyzing, and ultimately designing biomedical products.

  15. Veterans administration biomedical engineer training program.

    Science.gov (United States)

    Bradley, D E

    1981-01-01

    The Veterans administration's Department of Medical and Surgery includes in its Graduate Engineer Training Program a special program for Biomedical Engineers. The program is intended for recent graduates in biomedical engineering and provides for the VA a means of recruiting and training biomedical engineers for employment in its medical centers nationwide. This paper discusses the structure and objectives of the program, the opportunities that exist for the trainee within the program and the results of the program since its inception in 1973, and provides an outlook on the future of the program.

  16. Translational Bioinformatics and Clinical Research (Biomedical) Informatics.

    Science.gov (United States)

    Sirintrapun, S Joseph; Zehir, Ahmet; Syed, Aijazuddin; Gao, JianJiong; Schultz, Nikolaus; Cheng, Donavan T

    2016-03-01

    Translational bioinformatics and clinical research (biomedical) informatics are the primary domains related to informatics activities that support translational research. Translational bioinformatics focuses on computational techniques in genetics, molecular biology, and systems biology. Clinical research (biomedical) informatics involves the use of informatics in discovery and management of new knowledge relating to health and disease. This article details 3 projects that are hybrid applications of translational bioinformatics and clinical research (biomedical) informatics: The Cancer Genome Atlas, the cBioPortal for Cancer Genomics, and the Memorial Sloan Kettering Cancer Center clinical variants and results database, all designed to facilitate insights into cancer biology and clinical/therapeutic correlations.

  17. Comparing the performance of biomedical clustering methods

    DEFF Research Database (Denmark)

    Wiwie, Christian; Baumbach, Jan; Röttger, Richard

    2015-01-01

    Identifying groups of similar objects is a popular first step in biomedical data analysis, but it is error-prone and impossible to perform manually. Many computational methods have been developed to tackle this problem. Here we assessed 13 well-known methods using 24 data sets ranging from gene......-ranging comparison we were able to develop a short guideline for biomedical clustering tasks. ClustEval allows biomedical researchers to pick the appropriate tool for their data type and allows method developers to compare their tool to the state of the art....

  18. Recent developments in intelligent biomedical polymers

    Institute of Scientific and Technical Information of China (English)

    XIAO ChunSheng; TIAN HuaYu; ZHUANG XiuLi; CHEN XueSi; JING XiaBin

    2009-01-01

    Intelligent polymers or stimuli-responsive polymers may exhibit distinct transitions in physical-chemical properties, including conformation, polarity, phase structure and chemical composition in response to changes in environmental stimuli. Due to their unique 'intelligent' characteristics, stimuli-sensitive polymers have found a wide variety of applications in biomedical and nanotechnological fields. This review focuses on the recent developments in biomedical application of intelligent polymer systems, such as intelligent hydrogel systems, intelligent drug delivery systems and intelligent molecular recognition systems. Also, the possible future directions for the application of these intelligent polymer systems in the biomedical field are presented.

  19. Shape-Memory Polymers for Biomedical Applications

    Science.gov (United States)

    Yakacki, Christopher M.; Gall, Ken

    Shape-memory polymers (SMPs) are a class of mechanically functional "smart" materials that have generated substantial interest for biomedical applications. SMPs offer the ability to promote minimally invasive surgery, provide structural support, exert stabilizing forces, elute therapeutic agents, and biodegrade. This review focuses on several areas of biomedicine including vascular, orthopedic, and neuronal applications with respect to the progress and potential for SMPs to improve the standard of treatment in these areas. Fundamental studies on proposed biomedical SMP systems are discussed with regards to biodegradability, tailorability, sterilization, and biocompatibility. Lastly, a proposed research and development pathway for SMP-based biomedical devices is proposed based on trends in the recent literature.

  20. Preparation of name and address data for record linkage using hidden Markov models

    OpenAIRE

    Lim Kim; Christen Peter; Churches Tim; Zhu Justin

    2002-01-01

    Abstract Background Record linkage refers to the process of joining records that relate to the same entity or event in one or more data collections. In the absence of a shared, unique key, record linkage involves the comparison of ensembles of partially-identifying, non-unique data items between pairs of records. Data items with variable formats, such as names and addresses, need to be transformed and normalised in order to validly carry out these comparisons. Traditionally, deterministic rul...