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

    Directory of Open Access Journals (Sweden)

    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. Unsupervised biomedical named entity recognition: experiments with clinical and biological texts.

    Science.gov (United States)

    Zhang, Shaodian; Elhadad, Noémie

    2013-12-01

    Named entity recognition is a crucial component of biomedical natural language processing, enabling information extraction and ultimately reasoning over and knowledge discovery from text. Much progress has been made in the design of rule-based and supervised tools, but they are often genre and task dependent. As such, adapting them to different genres of text or identifying new types of entities requires major effort in re-annotation or rule development. In this paper, we propose an unsupervised approach to extracting named entities from biomedical text. We describe a stepwise solution to tackle the challenges of entity boundary detection and entity type classification without relying on any handcrafted rules, heuristics, or annotated data. A noun phrase chunker followed by a filter based on inverse document frequency extracts candidate entities from free text. Classification of candidate entities into categories of interest is carried out by leveraging principles from distributional semantics. Experiments show that our system, especially the entity classification step, yields competitive results on two popular biomedical datasets of clinical notes and biological literature, and outperforms a baseline dictionary match approach. Detailed error analysis provides a road map for future work. PMID:23954592

  5. Unsupervised Biomedical Named Entity Recognition: Experiments with Clinical and Biological Texts

    OpenAIRE

    Zhang, Shaodian; Elhadad, Nóemie

    2013-01-01

    Named entity recognition is a crucial component of biomedical natural language processing, enabling information extraction and ultimately reasoning over and knowledge discovery from text. Much progress has been made in the design of rule-based and supervised tools, but they are often genre and task dependent. As such, adapting them to different genres of text or identifying new types of entities requires major effort in re-annotation or rule development. In this paper, we propose an unsupervi...

  6. Exploiting the performance of dictionary-based bio-entity name recognition in biomedical literature.

    Science.gov (United States)

    Yang, Zhihao; Lin, Hongfei; Li, Yanpeng

    2008-08-01

    Bio-entity name recognition is the key step for information extraction from biomedical literature. This paper presents a dictionary-based bio-entity name recognition approach. The approach expands the bio-entity name dictionary via the Abbreviation Definitions identifying algorithm, improves the recall rate through the improved edit distance algorithm and adopts some post-processing methods including Pre-keyword and Post-keyword expansion, Part of Speech expansion, merge of adjacent bio-entity names and the exploitation of the contextual cues to further improve the performance. Experiment results show that with this approach even an internal dictionary-based system could achieve a fairly good performance. PMID:18467180

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

    Directory of Open Access Journals (Sweden)

    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

  8. 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...

  9. Named Entity Recognition for IDEAL

    OpenAIRE

    Du, Qianzhou; Xuan ZHANG

    2015-01-01

    This project explored how to apply Named Entity Recognition to large Twitter and web page datasets to extract useful entities such as people, organization, location, and date. In addition, this NER utility has been scaled to the MapReduce framework on the Hadoop cluster. A schema and software allow this to be integrated with IDEAL.

  10. HMM based Korean Named Entity Recognition

    Directory of Open Access Journals (Sweden)

    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.

  11. Named entity recognition in Slovene text

    Directory of Open Access Journals (Sweden)

    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.

  12. 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.

  13. Recognizing Named Entities in Turkish Tweets

    Directory of Open Access Journals (Sweden)

    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.

  14. Named Entity Recognition Using Web Document Corpus

    Directory of Open Access Journals (Sweden)

    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.

  15. 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...

  16. 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

  17. Named Entity Recognition Based on A Machine Learning Model

    Directory of Open Access Journals (Sweden)

    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.

  18. Named Entity Recognition in Turkish Using Association Measures

    Directory of Open Access Journals (Sweden)

    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.

  19. Integrating Semantic Features for Enhancing Arabic Named Entity Recognition

    Directory of Open Access Journals (Sweden)

    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.

  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

    Directory of Open Access Journals (Sweden)

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

    Science.gov (United States)

    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 development. One of the most important challenges in chemical text mining is the recognition of chemical entities mentioned in the texts. In this review, the authors briefly introduce the fundamental concepts of chemical literature mining, the textual contents of chemical documents, and the methods of naming chemicals in documents. We sketch out dictionary-based, rule-based and machine learning, as well as hybrid chemical named entity recognition approaches with their applied solutions. We end with an outlook on the pros and cons of these approaches and the types of chemical entities extracted. PMID:24834132

  3. Named Entity Recognition with Bidirectional LSTM-CNNs

    OpenAIRE

    Chiu, Jason P. C.; Nichols, Eric

    2015-01-01

    Named entity recognition is a challenging task that has traditionally required large amounts of knowledge in the form of feature engineering and lexicons to achieve high performance. In this paper, we present a novel neural network architecture that automatically detects word- and character-level features using a hybrid bidirectional LSTM and CNN architecture, eliminating the need for most feature engineering. We also propose a novel method of encoding partial lexicon matches in neural networ...

  4. Named entity extraction and disambiguation: the missing link

    OpenAIRE

    Habib, Mena B.; Keulen, van, H.

    2013-01-01

    Named entity extraction (NEE) and disambiguation (NED) are two areas of research that are well covered in literature. Typical fields addressing these topics are information retrieval, natural language processing, and semantic web. Although these topics are highly dependent, almost no existing works examine this dependency. It is the aim of this position paper to explore that dependency and show how one affects the other, and vice versa. We show the benefit of using this reinforcement effect o...

  5. 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...

  6. Name Resolution by Rewriting in Dynamic Networks of Mobile Entities

    Czech Academy of Sciences Publication Activity Database

    van Leeuwen, J.; Wiedermann, Jiří

    Berlin: Springer, 2011 - (Calude, C.; Rozenberg, G.; Salomaa, A.), s. 215-227. (Lecture Notes in Computer Science. 6570). ISBN 978-3-642-19390-3 R&D Projects: GA ČR GAP202/10/1333 Institutional research plan: CEZ:AV0Z10300504 Keywords : name resolution * dynamic networks of mobile entities * zero configuration protocols Subject RIV: IN - Informatics, Computer Science

  7. 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....

  8. Named Entity Recognition and Classification in Kannada Language

    Directory of Open Access Journals (Sweden)

    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.

  9. A Proof-of-Concept for Orthographic Named Entity Correction in Spanish Voice Queries

    OpenAIRE

    Moreno Schneider, Julián; Martínez Fernández, José Luis; Martínez, Paloma

    2012-01-01

    Automatic speech recognition (ASR) systems are not able to recognize entities that are not present in its vocabulary. The problem considered in this paper is the misrecognition of named entities in Spanish voice queries introducing a proof-of-concept for named entity correction that provides alternative entities to the ones incorrectly recognized or misrecognized by retrieving entities phonetically similar from a dictionary. This system is domain-dependent, using sports news, especially footb...

  10. Network analysis of named entity interactions in written texts

    CERN Document Server

    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 ...

  11. 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

  12. 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...

  13. Extracting Named Entities and Synonyms from Wikipedia for use in News Search

    OpenAIRE

    Bøhn, Christian

    2008-01-01

    In news articles the focus on named entities is quite common and usually a news case is tied around a person, a company, or similar. One challenge from an information retrieval point of view is that one entity often have more than one way of referring to it. This means that when users use news search engines they have to use the exact same name for the entity as the articles they are interested in use. Therefore the usage of synonyms to refer to the same entity forms the basis of this thesis....

  14. 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

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

    OpenAIRE

    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.

  16. 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...... NERC systems 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...

  17. Evaluation of information retrieval and text mining tools on automatic named entity extraction. Intelligence and security informatics. Proceedings

    OpenAIRE

    Kumar, Nishant; De Beer, Jan; Vanthienen, Jan; Moens, Marie-Francine

    2006-01-01

    We will report evaluation of Automatic Named Entity Extraction feature of IR tools on Dutch, French, and English text. The aim is to analyze the competency of off-the-shelf information extraction tools in recognizing entity types including person, organization, location, vehicle, time, & currency from unstructured text. Within such an evaluation one can compare the effectiveness of different approaches for identifying named entities.

  18. 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

  19. 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

  20. 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.

  1. Detecting a Multi-Level Content Similarity from Microblogs based on Community Structures and Named Entities

    Directory of Open Access Journals (Sweden)

    Swit Phuvipadawat

    2011-02-01

    Full Text Available This paper presents a method for finding the content similarity for microblogs. In particular, we process data from Twitter for a breaking news detection and tracking application. The goal is to find a collection of similar messages. The method gives two levels of collections. In the first level, similarity is defined by TF-IDF. Since contents in microblogs have short lengths, we emphasize on specific terms called named entities. Message groups are obtained in the first level. In the second level, we construct a network from the message groups and named entities and perform a community detection. We evaluate and visualize the community results based on several community detection algorithms. We demonstrate that this method can be used to explore similar messages with results in both tightly and loosely coupled manners.

  2. 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.

  3. 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...

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

    OpenAIRE

    Bindu.M.S; Sumam Mary Idicula

    2011-01-01

    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 rol...

  5. A Study of Neural Word Embeddings for Named Entity Recognition in Clinical Text

    OpenAIRE

    Wu, Yonghui; Xu, Jun; Jiang, Min; Zhang, Yaoyun; Xu, Hua

    2015-01-01

    Clinical Named Entity Recognition (NER) is a critical task for extracting important patient information from clinical text to support clinical and translational research. This study explored the neural word embeddings derived from a large unlabeled clinical corpus for clinical NER. We systematically compared two neural word embedding algorithms and three different strategies for deriving distributed word representations. Two neural word embeddings were derived from the unlabeled Multiparamete...

  6. 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.

  7. 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.

  8. 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

  9. 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.

  10. Named Entity Recognition in Chinese Clinical Text Using Deep Neural Network.

    Science.gov (United States)

    Wu, Yonghui; Jiang, Min; Lei, Jianbo; Xu, Hua

    2015-01-01

    Rapid growth in electronic health records (EHRs) use has led to an unprecedented expansion of available clinical data in electronic formats. However, much of the important healthcare information is locked in the narrative documents. Therefore Natural Language Processing (NLP) technologies, e.g., Named Entity Recognition that identifies boundaries and types of entities, has been extensively studied to unlock important clinical information in free text. In this study, we investigated a novel deep learning method to recognize clinical entities in Chinese clinical documents using the minimal feature engineering approach. We developed a deep neural network (DNN) to generate word embeddings from a large unlabeled corpus through unsupervised learning and another DNN for the NER task. The experiment results showed that the DNN with word embeddings trained from the large unlabeled corpus outperformed the state-of-the-art CRF's model in the minimal feature engineering setting, achieving the highest F1-score of 0.9280. Further analysis showed that word embeddings derived through unsupervised learning from large unlabeled corpus remarkably improved the DNN with randomized embedding, denoting the usefulness of unsupervised feature learning. PMID:26262126

  11. 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.

  12. 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.

  13. Drug name recognition in biomedical texts: a machine-learning-based method.

    Science.gov (United States)

    He, Linna; Yang, Zhihao; Lin, Hongfei; Li, Yanpeng

    2014-05-01

    Currently, there is an urgent need to develop a technology for extracting drug information automatically from biomedical texts, and drug name recognition is an essential prerequisite for extracting drug information. This article presents a machine-learning-based approach to recognize drug names in biomedical texts. In this approach, a drug name dictionary is first constructed with the external resource of DrugBank and PubMed. Then a semi-supervised learning method, feature coupling generalization, is used to filter this dictionary. Finally, the dictionary look-up and the condition random field method are combined to recognize drug names. Experimental results show that our approach achieves an F-score of 92.54% on the test set of DDIExtraction2011. PMID:24140287

  14. 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. PMID:26305514

  15. 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.

  16. 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.

  17. 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

  18. 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 a F-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

  19. 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

  20. 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.

  1. A Study of Neural Word Embeddings for Named Entity Recognition in Clinical Text.

    Science.gov (United States)

    Wu, Yonghui; Xu, Jun; Jiang, Min; Zhang, Yaoyun; Xu, Hua

    2015-01-01

    Clinical Named Entity Recognition (NER) is a critical task for extracting important patient information from clinical text to support clinical and translational research. This study explored the neural word embeddings derived from a large unlabeled clinical corpus for clinical NER. We systematically compared two neural word embedding algorithms and three different strategies for deriving distributed word representations. Two neural word embeddings were derived from the unlabeled Multiparameter Intelligent Monitoring in Intensive Care (MIMIC) II corpus (403,871 notes). The results from both 2010 i2b2 and 2014 Semantic Evaluation (SemEval) data showed that the binarized word embedding features outperformed other strategies for deriving distributed word representations. The binarized embedding features improved the F1-score of the Conditional Random Fields based clinical NER system by 2.3% on i2b2 data and 2.4% on SemEval data. The combined feature from the binarized embeddings and the Brown clusters improved the F1-score of the clinical NER system by 2.9% on i2b2 data and 2.7% on SemEval data. Our study also showed that the distributed word embedding features derived from a large unlabeled corpus can be better than the widely used Brown clusters. Further analysis found that the neural word embeddings captured a wide range of semantic relations, which could be discretized into distributed word representations to benefit the clinical NER system. The low-cost distributed feature representation can be adapted to any other clinical natural language processing research. PMID:26958273

  2. "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

  3. 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...

  4. 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

  5. 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. PMID:17845447

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

    OpenAIRE

    Shengyu Liu; Buzhou Tang; Qingcai Chen; Xiaolong Wang; Xiaoming Fan

    2015-01-01

    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 o...

  7. 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...

  8. Feature engineering for drug name recognition in biomedical texts: feature conjunction and feature selection.

    Science.gov (United States)

    Liu, Shengyu; Tang, Buzhou; Chen, Qingcai; Wang, Xiaolong; Fan, Xiaoming

    2015-01-01

    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. PMID:25861377

  9. 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.

  10. 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.

  11. [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

  12. 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

  13. 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.

  14. 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.

  15. 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

  16. 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.

  17. 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...

  18. Spanish personal name variations in national and international biomedical databases: implications for information retrieval and bibliometric studies

    OpenAIRE

    Ruiz-P??rez, Rafael; Delgado L??pez-C??zar, Emilio; Jim??nez-Contreras, Evaristo

    2002-01-01

    Objectives: The study sought to investigate how Spanish names are handled by national and international databases and to identify mistakes that can undermine the usefulness of these databases for locating and retrieving works by Spanish authors. Methods: The authors sampled 172 articles published by authors from the University of Granada Medical School between 1987 and 1996 and analyzed the variations in how each of their names was indexed in Science Citation Index (SCI), MEDLINE, and I´nd...

  19. 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

  20. 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.

  1. 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%.

  2. 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

    The exponential growth of the biomedical literature is making the need for efficient, accurate text-mining tools increasingly clear. The identification of named biological entities in text is a central and difficult task. We have developed an efficient algorithm and implementation of a dictionary......-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...

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

    OpenAIRE

    Verspoor Karin; Cohen Kevin; Lanfranchi Arrick; Warner Colin; Johnson Helen L; Roeder Christophe; Choi Jinho D; Funk Christopher; Malenkiy Yuriy; Eckert Miriam; Xue Nianwen; Baumgartner William A; Bada Michael; Palmer Martha; Hunter Lawrence E

    2012-01-01

    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...

  4. Identifying non-elliptical entity mentions in a coordinated NP with ellipses.

    Science.gov (United States)

    Chae, Jeongmin; Jung, Younghee; Lee, Taemin; Jung, Soonyoung; Huh, Chan; Kim, Gilhan; Kim, Hyeoncheol; Oh, Heungbum

    2014-02-01

    Named entities in the biomedical domain are often written using a Noun Phrase (NP) along with a coordinating conjunction such as 'and' and 'or'. In addition, repeated words among named entity mentions are frequently omitted. It is often difficult to identify named entities. Although various Named Entity Recognition (NER) methods have tried to solve this problem, these methods can only deal with relatively simple elliptical patterns in coordinated NPs. We propose a new NER method for identifying non-elliptical entity mentions with simple or complex ellipses using linguistic rules and an entity mention dictionary. The GENIA and CRAFT corpora were used to evaluate the performance of the proposed system. The GENIA corpus was used to evaluate the performance of the system according to the quality of the dictionary. The GENIA corpus comprises 3434 non-elliptical entity mentions in 1585 coordinated NPs with ellipses. The system achieves 92.11% precision, 95.20% recall, and 93.63% F-score in identification of non-elliptical entity mentions in coordinated NPs. The accuracy of the system in resolving simple and complex ellipses is 94.54% and 91.95%, respectively. The CRAFT corpus was used to evaluate the performance of the system under realistic conditions. The system achieved 78.47% precision, 67.10% recall, and 72.34% F-score in coordinated NPs. The performance evaluations of the system show that it efficiently solves the problem caused by ellipses, and improves NER performance. The algorithm is implemented in PHP and the code can be downloaded from https://code.google.com/p/medtextmining/. PMID:24153413

  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. 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.

  7. 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...

  8. 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

  9. 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

  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. 78 FR 9066 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2013-02-07

    ... 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... of Biomedical Imaging and Bioengineering, National Institutes of Health, 6707 Democracy...

  12. 77 FR 13347 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meetings

    Science.gov (United States)

    2012-03-06

    ... 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... Committee: National Institute of Biomedical Imaging and Bioengineering Special Emphasis Panel;...

  13. 77 FR 71605 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meetings

    Science.gov (United States)

    2012-12-03

    ... 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... Biomedical Imaging and Bioengineering Special Emphasis Panel; MSM Program Review. Date: February 26,...

  14. 76 FR 370 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2011-01-04

    ... 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: Manana Sukhareva, Ph.D., Scientific Review Officer, National Institute of Biomedical Imaging...

  15. 77 FR 50516 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2012-08-21

    ... 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...., Scientific Review Officer, National Institute of Biomedical Imaging, And Bioengineering, National...

  16. 78 FR 3009 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2013-01-15

    ... 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... Biomedical Imaging and Bioengineering, National Institutes of Health, 6707 Democracy Boulevard, Suite...

  17. 78 FR 46995 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2013-08-02

    ... 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... Biomedical Imaging, and Bioengineering, 6707 Democracy Boulevard, Suite 959, Bethesda, MD 20892,...

  18. 78 FR 76632 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2013-12-18

    ... 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... Review Officer, National Institute of Biomedical Imaging and Bioengineering, 6707 Democracy...

  19. 78 FR 25752 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meetings

    Science.gov (United States)

    2013-05-02

    ... 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... Officer, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health,...

  20. 75 FR 35820 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2010-06-23

    ... 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..., ARRA Related Biomedical Research and Research Support Awards, National Institutes of Health, HHS)...

  1. 78 FR 31953 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meetings

    Science.gov (United States)

    2013-05-28

    ... 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...., Scientific Review Officer, National Institute of Biomedical Imaging and Bioengineering, National...

  2. 78 FR 3903 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meetings

    Science.gov (United States)

    2013-01-17

    ... 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... Biomedical Imaging and, Bioengineering, National Institutes of Health, 6707 Democracy Boulevard, Room...

  3. 78 FR 66373 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2013-11-05

    ... 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... Grossman, DDS, Scientific Review Officer, National Institute of Biomedical Imaging and Bioengineering,...

  4. 76 FR 58023 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meetings

    Science.gov (United States)

    2011-09-19

    ... 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... Officer, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health,...

  5. 77 FR 2987 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2012-01-20

    ... 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..., National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, 6707...

  6. 76 FR 53690 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2011-08-29

    ... 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... Review Officer, National Institute of Biomedical Imaging and Bioengineering, National Institutes...

  7. 77 FR 74675 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meetings

    Science.gov (United States)

    2012-12-17

    ... 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... Officer, National Institute of Biomedical Imaging and Bioengineering, 6707 Democracy Boulevard, Room...

  8. 77 FR 58146 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2012-09-19

    ... 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...: John K. Hayes, Ph.D., Scientific Review Officer, National Institute of Biomedical Imaging...

  9. 78 FR 37557 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meetings

    Science.gov (United States)

    2013-06-21

    ... 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...: Ruth Grossman, DDS, Scientific Review Officer, National Institute of Biomedical Imaging...

  10. 76 FR 572 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Science.gov (United States)

    2011-01-05

    ... 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..., PhD, Scientific Review Officer, National Institute of Biomedical Imaging and Bioengineering,...

  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. Programming Entity Framework

    CERN Document Server

    Lerman, Julia

    2009-01-01

    Programming Entity Framework is a thorough introduction to Microsoft's new core framework for modeling and interacting with data in .NET applications. This highly-acclaimed book not only gives experienced developers a hands-on tour of the Entity Framework and explains its use in a variety of applications, it also provides a deep understanding of its architecture and APIs -- knowledge that will be extremely valuable as you shift to the Entity Framework version in .NET Framework 4.0 and Visual Studio 2010. From the Entity Data Model (EDM) and Object Services to EntityClient and the Metadata Work

  13. 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.

  14. 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.

  15. 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.

  16. 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

  17. 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

  18. 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

  19. 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.

  20. 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

  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. 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...

  4. BelSmile: a biomedical semantic role labeling approach for extracting biological expression language from text.

    Science.gov (United States)

    Lai, Po-Ting; Lo, Yu-Yan; Huang, Ming-Siang; Hsiao, Yu-Cheng; Tsai, Richard Tzong-Han

    2016-01-01

    Biological expression language (BEL) is one of the most popular languages to represent the causal and correlative relationships among biological events. Automatically extracting and representing biomedical events using BEL can help biologists quickly survey and understand relevant literature. Recently, many researchers have shown interest in biomedical event extraction. However, the task is still a challenge for current systems because of the complexity of integrating different information extraction tasks such as named entity recognition (NER), named entity normalization (NEN) and relation extraction into a single system. In this study, we introduce our BelSmile system, which uses a semantic-role-labeling (SRL)-based approach to extract the NEs and events for BEL statements. BelSmile combines our previous NER, NEN and SRL systems. We evaluate BelSmile using the BioCreative V BEL task dataset. Our system achieved an F-score of 27.8%, ∼7% higher than the top BioCreative V system. The three main contributions of this study are (i) an effective pipeline approach to extract BEL statements, and (ii) a syntactic-based labeler to extract subject-verb-object tuples. We also implement a web-based version of BelSmile (iii) that is publicly available at iisrserv.csie.ncu.edu.tw/belsmile. PMID:27173520

  5. BelSmile: a biomedical semantic role labeling approach for extracting biological expression language from text

    Science.gov (United States)

    Lai, Po-Ting; Lo, Yu-Yan; Huang, Ming-Siang; Hsiao, Yu-Cheng; Tsai, Richard Tzong-Han

    2016-01-01

    Biological expression language (BEL) is one of the most popular languages to represent the causal and correlative relationships among biological events. Automatically extracting and representing biomedical events using BEL can help biologists quickly survey and understand relevant literature. Recently, many researchers have shown interest in biomedical event extraction. However, the task is still a challenge for current systems because of the complexity of integrating different information extraction tasks such as named entity recognition (NER), named entity normalization (NEN) and relation extraction into a single system. In this study, we introduce our BelSmile system, which uses a semantic-role-labeling (SRL)-based approach to extract the NEs and events for BEL statements. BelSmile combines our previous NER, NEN and SRL systems. We evaluate BelSmile using the BioCreative V BEL task dataset. Our system achieved an F-score of 27.8%, ∼7% higher than the top BioCreative V system. The three main contributions of this study are (i) an effective pipeline approach to extract BEL statements, and (ii) a syntactic-based labeler to extract subject–verb–object tuples. We also implement a web-based version of BelSmile (iii) that is publicly available at iisrserv.csie.ncu.edu.tw/belsmile. PMID:27173520

  6. 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

  7. 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.

  8. 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.

  9. 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

  10. 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

  11. 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...

  12. 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.

  13. 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.

  14. Physical properties of biological entities: an introduction to the ontology of physics for biology.

    Directory of Open Access Journals (Sweden)

    Daniel L Cook

    Full Text Available 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 reference ontology of classical physics designed for annotating biophysical content of growing repositories of biomedical datasets and analytical models. The OPB's semantic framework, traceable to James Clerk Maxwell, encompasses modern theories of system dynamics and thermodynamics, and is implemented as a computational ontology that references available upper ontologies. In this paper we focus on the OPB classes that are designed for annotating physical properties encoded in biomedical datasets and computational models, and we discuss how the OPB framework will facilitate biomedical knowledge integration.

  15. Physical properties of biological entities: an introduction to the ontology of physics for biology.

    Science.gov (United States)

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

    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 reference ontology of classical physics designed for annotating biophysical content of growing repositories of biomedical datasets and analytical models. The OPB's semantic framework, traceable to James Clerk Maxwell, encompasses modern theories of system dynamics and thermodynamics, and is implemented as a computational ontology that references available upper ontologies. In this paper we focus on the OPB classes that are designed for annotating physical properties encoded in biomedical datasets and computational models, and we discuss how the OPB framework will facilitate biomedical knowledge integration. PMID:22216106

  16. 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.

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  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. 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...

  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. Reasoning about theoretical entities

    CERN Document Server

    Forster, Thomas

    2003-01-01

    Reductionism is one of those philosophical myths that are either enthusiastically embraced or wholeheartedly rejected. And, like all other philosophical myths, it rarely gets serious consideration. Reasoning About Theoretical Entities strives to give reductionism its day in court, as it were, by explicitly developing several versions of the reductionist project and assessing their merits within the framework of modern symbolic logic. Not since the days of Carnap's Aufbau has reductionism received such close attention (albeit in a necessarily restricted and regimented setting such as that of mo

  8. 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.

  9. 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 ...

  10. The single entity option

    International Nuclear Information System (INIS)

    Traditionally, an owner hires an engineer to design a power facility or other project and then circulates the completed plans to several contractors for competitive bidding. Although there are many variations on this theme, there is an alternative method which is growing in popularity--the design-build concept. In this construction method, the same entity designs and constructs the facility. The design builder may be a single firm with both design and construction capacity in-house, or it may be a combination of two or more firms with complementary abilities. If there are multiple firms, they may be structured as a joint venture or with one of the firms prime and the others in a subcontracting role. The critical aspect is that the owner contracts with one entity which has the responsibility for both designing and constructing the facility. According to statistics compiled by the Design-Build Institute of America and F.W. Dodge DATALINE2, a national reporter of construction statistics and information, from April 1995 to April 1996 the number of design-build contracts increased 103 percent over the previous year. Of a total $212 billion construction market, about $37.2 billion--18 percent--was design build. The strongest growth was in the category of industrial--plants, refineries, factories and warehouses--in which the concept use was up more than 300 percent from the previous year

  11. 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…

  12. 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 ...

  13. Quantum Cascade Lasers in Biomedical Infrared Imaging.

    Science.gov (United States)

    Bird, Benjamin; Baker, Matthew J

    2015-10-01

    Technological advances, namely the integration of quantum cascade lasers (QCLs) within an infrared (IR) microscope, are enabling the development of valuable label-free biomedical-imaging tools capable of targeting and detecting salient chemical species within practical clinical timeframes. PMID:26409774

  14. Query containment in entity SQL

    OpenAIRE

    Rull Fort, Guillem; Bernstein, Philip A.; Garcia dos Santos, Ivo; Katsis, Yannis; Melnik, Sergey; Teniente López, Ernest

    2013-01-01

    We describe a software architecture we have developed for a constructive containment checker of Entity SQL queries defined over extended ER schemas expressed in Microsoft's Entity Data Model. Our application of interest is compilation of object-to-relational mappings for Microsoft's ADO.NET Entity Framework, which has been shipping since 2007. The supported language includes several features which have been individually addressed in the past but, to the best of our knowledge, they have not be...

  15. 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

  16. 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

  17. 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

  18. 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...

  19. 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

  20. 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

  1. 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.

  2. 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

  3. Single-domain antibodies for biomedical applications.

    Science.gov (United States)

    Krah, Simon; Schröter, Christian; Zielonka, Stefan; Empting, Martin; Valldorf, Bernhard; Kolmar, Harald

    2016-02-01

    Single-domain antibodies are the smallest antigen-binding units of antibodies, consisting either only of one variable domain or one engineered constant domain that solely facilitates target binding. This class of antibody derivatives comprises naturally occurring variable domains derived from camelids and sharks as well as engineered human variable or constant antibody domains of the heavy or light chain. Because of their high affinity and specificity as well as stability, small size and benefit of multiple re-formatting opportunities, those molecules emerged as promising candidates for biomedical applications and some of these entities have already proven to be successful in clinical development. PMID:26551147

  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. 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

  6. Personalized biomedical devices & systems for healthcare applications

    Science.gov (United States)

    Chen, I.-Ming; Phee, Soo Jay; Luo, Zhiqiang; Lim, Chee Kian

    2011-03-01

    With the advancement in micro- and nanotechnology, electromechanical components and systems are getting smaller and smaller and gradually can be applied to the human as portable, mobile and even wearable devices. Healthcare industry have started to benefit from this technology trend by providing more and more miniature biomedical devices for personalized medical treatments in order to obtain better and more accurate outcome. This article introduces some recent development in non-intrusive and intrusive biomedical devices resulted from the advancement of niche miniature sensors and actuators, namely, wearable biomedical sensors, wearable haptic devices, and ingestible medical capsules. The development of these devices requires carful integration of knowledge and people from many different disciplines like medicine, electronics, mechanics, and design. Furthermore, designing affordable devices and systems to benefit all mankind is a great challenge ahead. The multi-disciplinary nature of the R&D effort in this area provides a new perspective for the future mechanical engineers.

  7. Feature Names and Identity in Zimbabwe

    Directory of Open Access Journals (Sweden)

    Emmanuel Chabata

    2012-08-01

    Full Text Available This paper is about feature names in Zimbabwe. It focuses on the role played by place names in defining Zimbabwe, both as a physical entity and as a community of speakers with a remarkable history and a sense of nationhood. The paper thus focuses on two types of place names, that is, those that refer to the natural landscape, such as mountains and rivers, as well as those that refer to man-made features such as roads and streets, hospitals and schools. Regarding names that are bestowed onto the features of the natural landscape, we will look at how some place names vividly describe the outstanding features or characteristics of particular geographical features, that is, the extent to which the names are used as tools in describing the features; the way the eye meets the landscape. We will also look at how some names of physical features are coined in response to the landscape's 'behaviour' or in relation to the link the landscape has with historical event(s. The paper will also look at how the bestowal of commemorative names on Zimbabwean features has been used in concretising the Zimbabwean people's link with the country's history, that is, how Zimbabweans have tried to define themselves as a people through naming some of their popular places after names of the country's heroes and heroines, both living and dead.

  8. 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

  9. 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…

  10. 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

  11. 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

  12. 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

  13. 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,

  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. 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.

  16. 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.

  17. 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...

  18. 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...

  19. 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.

  20. 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.

  1. What is biomedical informatics?

    OpenAIRE

    Bernstam, Elmer V.; Smith, Jack W.; Johnson, Todd R

    2009-01-01

    Biomedical informatics lacks a clear and theoretically grounded definition. Many proposed definitions focus on data, information, and knowledge, but do not provide an adequate definition of these terms. Leveraging insights from the philosophy of information, we define informatics as the science of information, where information is data plus meaning. Biomedical informatics is the science of information as applied to or studied in the context of biomedicine. Defining the object of study of info...

  2. A Semantic Analysis of Sesotho Place Names: Evidence from Bus Stop Names

    Directory of Open Access Journals (Sweden)

    Puleng Makholu Letsoela

    2015-03-01

    Full Text Available Naming is not just an act of linguistic labeling by which speakers of a language identify the entities they are referring to in the real or imaginary world. A name is not chosen arbitrarily but is chosen based on a combination of socio-cultural factors. This is because language cannot be divorced from culture, for it is through language that speakers reflect their cultural and sociolinguistic etiquette. This study examines the names of bus stops in Lesotho with a view to unveiling the factors that could have motivated the awarding of such names. Findings indicate that the names could be classified into the following categories: descriptive, metaphorical, experiential and mythological. The study concludes that through the names of bus stops, Basotho narrate their experiences, emotions and belief systems, among other things.

  3. 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.)

  4. Biomedical research in a Digital Health Framework

    OpenAIRE

    Cano, Isaac; Lluch-Ariet, Magí; Gomez-Cabrero, David; Maier, Dieter; Kalko, Susana; Cascante, Marta; Tegnér, Jesper; Miralles, Felip; Herrera, Diego; Roca, Josep; ,

    2014-01-01

    This article describes a Digital Health Framework (DHF), benefitting from the lessons learnt during the three-year life span of the FP7 Synergy-COPD project. The DHF aims to embrace the emerging requirements - data and tools - of applying systems medicine into healthcare with a three-tier strategy articulating formal healthcare, informal care and biomedical research. Accordingly, it has been constructed based on three key building blocks, namely, novel integrated care services with the suppor...

  5. 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...

  6. 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. PMID:26972838

  7. What's in a Name?

    OpenAIRE

    Konstantopoulos, Stasinos

    2007-01-01

    This paper describes experiments on identifying the language of a single name in isolation or in a document written in a different language. A new corpus has been compiled and made available, matching names against languages. This corpus is used in a series of experiments measuring the performance of general language models and names-only language models on the language identification task. Conclusions are drawn from the comparison between using general language models and names-only language...

  8. 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.

  9. 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...

  10. 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.

  11. What's in a Name?

    CERN Document Server

    Konstantopoulos, Stasinos

    2007-01-01

    This paper describes experiments on identifying the language of a single name in isolation or in a document written in a different language. A new corpus has been compiled and made available, matching names against languages. This corpus is used in a series of experiments measuring the performance of general language models and names-only language models on the language identification task. Conclusions are drawn from the comparison between using general language models and names-only language models and between identifying the language of isolated names and the language of very short document fragments. Future research directions are outlined.

  12. 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

  13. 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...

  14. Generative Unbinding of Names

    CERN Document Server

    Pitts, Andrew M

    2008-01-01

    This paper is concerned with the form of typed name binding used by the FreshML family of languages. Its characteristic feature is that a name binding is represented by an abstract (name,value)-pair that may only be deconstructed via the generation of fresh bound names. The paper proves a new result about what operations on names can co-exist with this construct. In FreshML the only observation one can make of names is to test whether or not they are equal. This restricted amount of observation was thought necessary to ensure that there is no observable difference between alpha-equivalent name binders. Yet from an algorithmic point of view it would be desirable to allow other operations and relations on names, such as a total ordering. This paper shows that, contrary to expectations, one may add not just ordering, but almost any relation or numerical function on names without disturbing the fundamental correctness result about this form of typed name binding (that object-level alpha-equivalence precisely corr...

  15. 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

  16. 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. PMID:24117708

  17. 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

  18. Biomedical engineering entrepreneurship

    CERN Document Server

    Lee, Jen-Shih

    2014-01-01

    This book is written for undergraduate and graduate students in biomedical engineering wanting to learn how to pursue a career in building up their entrepreneur ventures. Practicing engineers wanting to apply their innovations for healthcare will also find this book useful. The 21st century is the Biotech Century where many nations are investing heavily in biotechnology. As a result, tremendous business opportunities exist for biomedical engineering graduates who are interested in becoming successful entrepreneurs. However, many challenges await these entrepreneurs intending to invent safe and

  19. 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...

  20. Geographic Names Information System

    Science.gov (United States)

    U.S. Geological Survey

    1984-01-01

    The Geographic Names Information System (GNIS) is an automated data system developed by the U.S. Geological Survey (USGS) to standardize and disseminate information on geographic names. GNIS provides primary information for all known places, features, and areas in the United States identified by a proper name. The information in the system can be manipulated to meet varied needs. You can incorporate information from GNIS into your own data base for special applications.

  1. 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...

  2. 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.

  3. Holography In Biomedical Sciences

    Science.gov (United States)

    von Bally, G.

    1988-01-01

    Today not only physicists and engineers but also biological and medical scientists are exploring the potentials of holographic methods in their special field of work. Most of the underlying physical principles such as coherence, interference, diffraction and polarization as well as general features of holography e.g. storage and retrieval of amplitude and phase of a wavefront, 3-d-imaging, large field of depth, redundant storage of information, spatial filtering, high-resolving, non-contactive, 3-d form and motion analysis are explained in detail in other contributions to this book. Therefore, this article is confined to the applications of holography in biomedical sciences. Because of the great number of contributions and the variety of applications [1,2,3,4,5,6,7,8] in this review the investigations can only be mentioned briefly and the survey has to be confined to some examples. As in all fields of optics and laser metrology, a review of biomedical applications of holography would be incomplete if military developments and their utilization are not mentioned. As will be demonstrated by selected examples the increasing interlacing of science with the military does not stop at domains that traditionally are regarded as exclusively oriented to human welfare like biomedical research [9]. This fact is actually characterized and stressed by the expression "Star Wars Medicine", which becomes increasingly common as popular description for laser applications (including holography) in medicine [10]. Thus, the consequence - even in such highly specialized fields like biomedical applications of holography - have to be discussed.

  4. 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.

  5. 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

  6. 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

  7. 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...

  8. 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.

  9. 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...

  10. An entity access control model for network services management

    OpenAIRE

    Dias, Bruno

    2005-01-01

    The Network Services Management Framework tries to overcome the most important limitations of present network management frameworks, namely the most widely supported framework – the Internet Network Management Framework – by defining a management framework using a network services management distributed architecture that provides services management functions with any desired level of functionality. This document introduces one of the most important parts of this framework, the Entity Access ...

  11. Advances in biomedical dosimetry

    International Nuclear Information System (INIS)

    Full text: Radiation dosimetry, the accurate determination of the absorbed dose within an irradiated body or a piece of material, is a prerequisite for all applications of ionizing radiation. This has been known since the very first radiation applications in medicine and biology, and increasing efforts are being made by radiation researchers to develop more reliable, effective and safe instruments, and to further improve dosimetric accuracy for all types of radiation used. Development of new techniques and instrumentation was particularly fast in the field of both medical diagnostic and therapeutic radiology. Thus, in Paris in October the IAEA held the latest symposium in its continuing series on dosimetry in medicine and biology. The last one was held in Vienna in 1975. High-quality dosimetry is obviously of great importance for human health, whether the objectives lie in the prevention and control of risks associated with the nuclear industry, in medical uses of radioactive substances or X-ray beams for diagnostic purposes, or in the application of photon, electron or neutron beams in radiotherapy. The symposium dealt with the following subjects: General aspects of dosimetry; Special physical and biomedical aspects; Determination of absorbed dose; Standardization and calibration of dosimetric systems; and Development of dosimetric systems. The forty or so papers presented and the discussions that followed them brought out a certain number of dominant themes, among which three deserve particular mention. - The recent generalization of the International System of Units having prompted a fundamental reassessment of the dosimetric quantities to be considered in calibrating measuring instruments, various proposals were advanced by the representatives of national metrology laboratories to replace the quantity 'exposure' (SI unit = coulomb/kg) by 'Kerma' or 'absorbed dose' (unit joule/kg, the special name of which is 'gray'), this latter being closer to the practical

  12. Compulsive buying: an overlooked entity.

    Science.gov (United States)

    Basu, Bishnupriya; Basu, Saikat; Basu, Jharna

    2011-08-01

    Compulsive buying is an under-recognised entity among Indian psychiatrists. A Medline search, hand searching of journals and direct communications with lead investigators in compulsive buying have generated numerous studies. Overseas data indicate a community prevalence between 1% and 8% . The phenomenon can be an independent entity or appears as a comorbidity with another axis I or axis II disorder. A degree of suspicion on part of clinician regarding its possible presence is the key to its detection. A few rating instruments are available to quantify the morbidity and screening for compulsive buying. Management involves pharmacotherapy with SSRIs, psychotherapy, self-help groups and self-help books. Epidemiological and clinical studies on compulsive buying should be undertaken by Indian psychiatrists to provide better services for people suffering from compulsive buying. PMID:22315867

  13. 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)

  14. 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.

  15. 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...

  16. 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.

  17. User Name Alias Extraction in Emails

    Directory of Open Access Journals (Sweden)

    Meijuan Yin

    2011-04-01

    Full Text Available Finding out user identity information from emails is one of the important research topics in email mining. Most approaches extract an email user’s name only from the header of an email, but there are often many name information appearing in the body of emails, and those names are usually more suitable for representing the sender’s or recipient’s identity. This paper focuses on the problem of extracting email users’ name aliases in the body of plain-text emails. After locating and extracting salutation and signature blocks from email bodies, we can identify the potential aliases in the salutation and signature lines, which can be directly associated with the corresponding email address in email headers, by using named entity recognition(NER tools. However the identified aliases may be half-baked or there are still some potential aliases that can’t be correctly identified. So we propose a novel approach to efficiently and accurately extract aliases in the salutation and signature lines based on name boundary word template built on the characteristics of alias neighboring words. Results on the public subset of the Enron corpus indicate that the approaches presented in this paper can efficiently extract user’s aliases from email bodies.

  18. 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...

  19. 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

  20. "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.

  1. 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)

  2. 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...

  3. 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.

  4. 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.

  5. 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... TAKEOVERS BY FOREIGN PERSONS Definitions § 800.212 Foreign entity. (a) The term foreign entity means any... corporation, or organization organized under the laws of a foreign state if either its principal place...

  6. 7 CFR 1738.16 - Eligible entities.

    Science.gov (United States)

    2010-01-01

    ... cooperative, nonprofit, limited dividend or mutual associations, limited liability companies, commercial... 7 Agriculture 11 2010-01-01 2010-01-01 false Eligible entities. 1738.16 Section 1738.16... Eligible entities. (a) RUS makes broadband loans to legally organized entities providing, or proposing...

  7. On the Evaluation of Entity Profiles

    DEFF Research Database (Denmark)

    de Rijke, Maarten; Balog, Krisztian; Bogers, Toine; van den Bosch, Antal

    Entity profiling is the task of identifying and ranking descriptions of a given entity. The task may be viewed as one where the descriptions being sought are terms that need to be selected from a knowledge source (such as an ontology or thesaurus). In this case, entity profiling systems can be as...

  8. Biomimicry in biomedical research

    OpenAIRE

    Zhang, Ge

    2012-01-01

    Biomimicry (literally defined as the imitation of life or nature) has sparked a variety of human innovations and inspired countless cutting-edge designs. From spider silk-made artificial skin to lotus leaf-inspired self-cleaning materials, biomimicry endeavors to solve human problems. Biomimetic approaches have contributed significantly to advances biomedical research during recent years. Using polyacrylamide gels to mimic the elastic modulus of different biological tissues, Disher’s lab has ...

  9. 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...

  10. 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...

  11. A document processing pipeline for annotating chemical entities in scientific documents

    OpenAIRE

    Campos, David; Matos, Sérgio; Oliveira, José L.

    2015-01-01

    Background The recognition of drugs and chemical entities in text is a very important task within the field of biomedical information extraction, given the rapid growth in the amount of published texts (scientific papers, patents, patient records) and the relevance of these and other related concepts. If done effectively, this could allow exploiting such textual resources to automatically extract or infer relevant information, such as drug profiles, relations and similarities between drugs, o...

  12. 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.

  13. Emerging Entities in Renal Neoplasia.

    Science.gov (United States)

    Mehra, Rohit; Smith, Steven C; Divatia, Mukul; Amin, Mahul B

    2015-12-01

    This article reviews emerging entities in renal epithelial neoplasia, including tubulocystic carcinoma, clear-cell-papillary renal cell carcinoma (RCC), thyroid-like follicular RCC, ALK-related RCC, translocation RCC, acquired cystic disease-related RCC, succinate dehydrogenase-deficient RCC, and hereditary leiomyomatosis-RCC syndrome-associated RCC. Many of these rarer subtypes of RCC were recently studied in more depth and are included in the upcoming version of the World Health Organization classification of tumors. Emphasis is placed on common gross and morphologic features, differential diagnoses, use of ancillary studies for making accurate diagnoses, molecular alterations, and predicted biologic behavior based on previous studies. PMID:26612218

  14. 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 ...

  15. Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features

    OpenAIRE

    Tang, Buzhou; Cao, Hongxin; WU, YONGHUI; Jiang, Min; Xu, Hua

    2013-01-01

    Background Named entity recognition (NER) is an important task in clinical natural language processing (NLP) research. Machine learning (ML) based NER methods have shown good performance in recognizing entities in clinical text. Algorithms and features are two important factors that largely affect the performance of ML-based NER systems. Conditional Random Fields (CRFs), a sequential labelling algorithm, and Support Vector Machines (SVMs), which is based on large margin theory, are two typica...

  16. Names For Free

    DEFF Research Database (Denmark)

    Pouillard, Nicolas; Bernardy, Jean-Philippe

    2013-01-01

    We propose a novel technique to represent names and binders in Haskell. The dynamic (run-time) representation is based on de Bruijn indices, but it features an interface to write and manipulate variables conviently, using Haskell-level lambdas and variables. The key idea is to use rich types: a...

  17. Naming the Rape Victim.

    Science.gov (United States)

    Clay, Nolan

    Since state laws prohibiting identification of rape victims were struck down in a 1975 United States Supreme Court ruling, the media have been reconsidering their traditional policy of preserving victims' anonymity. Explaining their decision to begin naming victims in rape trials, several newspapers cite the press's responsibility to provide the…

  18. 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...

  19. 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...

  20. Biomedical research in a Digital Health Framework.

    Science.gov (United States)

    Cano, Isaac; Lluch-Ariet, Magí; Gomez-Cabrero, David; Maier, Dieter; Kalko, Susana; Cascante, Marta; Tegnér, Jesper; Miralles, Felip; Herrera, Diego; Roca, Josep

    2014-11-28

    This article describes a Digital Health Framework (DHF), benefitting from the lessons learnt during the three-year life span of the FP7 Synergy-COPD project. The DHF aims to embrace the emerging requirements--data and tools--of applying systems medicine into healthcare with a three-tier strategy articulating formal healthcare, informal care and biomedical research. Accordingly, it has been constructed based on three key building blocks, namely, novel integrated care services with the support of information and communication technologies, a personal health folder (PHF) and a biomedical research environment (DHF-research). Details on the functional requirements and necessary components of the DHF-research are extensively presented. Finally, the specifics of the building blocks strategy for deployment of the DHF, as well as the steps toward adoption are analyzed. The proposed architectural solutions and implementation steps constitute a pivotal strategy to foster and enable 4P medicine (Predictive, Preventive, Personalized and Participatory) in practice and should provide a head start to any community and institution currently considering to implement a biomedical research platform. PMID:25472554

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. Implementation of persistent identification of topological entities based on macro-parametrics approach

    Directory of Open Access Journals (Sweden)

    Shahjadi Hisan Farjana

    2016-04-01

    Full Text Available In history based parametric CAD modeling systems, persistent identification of the topological entities after design modification is mandatory to keep the design intent by recording model creation history and modification history. Persistent identification of geometric and topological entities is necessary in the product design phase as well as in the re-evaluation stage. For the identification, entities should be named first according to the methodology which will be applicable for all the entities unconditionally. After successive feature operations on a part body, topology based persistent identification mechanism generates ambiguity problem that usually stems from topology splitting and topology merging. Solving the ambiguity problem needs a complex method which is a combination of topology and geometry. Topology is used to assign the basic name to the entities. And geometry is used for the ambiguity solving between the entities. In the macro parametrics approach of iCAD lab of KAIST a topology based persistent identification mechanism is applied which will solve the ambiguity problem arising from topology splitting and also in case of topology merging. Here, a method is proposed where no geometry comparison is necessary for topology merging. The present research is focused on the enhancement of the persistent identification schema for the support of ambiguity problem especially of topology splitting problem and topology merging problem. It also focused on basic naming of pattern features.

  10. 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 ...

  11. Identifying Entity Aspects in Microblog Posts

    OpenAIRE

    Spina, D.; Meij, E.; Rijke, de, M.; Oghina, A.; Bui, M.T.; Breuss, M.

    2012-01-01

    Online reputation management is about monitoring and handling the public image of entities (such as companies) on the Web. An important task in this area is identifying "aspects" of the entity of interest (such as products, services, competitors, key people, etc.) given a stream of microblog posts referring to the entity. In this paper we compare different IR techniques and opinion target identification methods for automatically identifying aspects and find that (i) simple statistical methods...

  12. LEGAL ENTITIES IN ROMANIAN PRIVATE INTERNATIONAL LAW

    OpenAIRE

    Berlingher Remus Daniel

    2013-01-01

    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 lega...

  13. 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.

  14. 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

  15. 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...

  16. Commercialising biomedical technology.

    Science.gov (United States)

    Craig, D L

    1989-06-01

    Engineers and scientists working with biomedical technology are a highly inventive lot. However, it is disappointing to see how few of the products of that inventiveness ever see the light of day outside the hospitals or institutions in which they are developed. This is usually because the developers do not know how to go about commercialising their products. The two basic options in commercialising a new product are to license the product to an existing company, or to establish a new company to manufacture and market it. Whichever approach is taken, a "Business Plan" is an essential requirement. This is a selling document which is needed either to convince an existing company that it would be profitable for it to license the product, or to convince an investor/financier to fund the establishment of a new company to commercialise it. PMID:2764795

  17. 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.

  18. 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

  19. What's in a name? Embryos, entities, and ANTities in the stem cell debate.

    Science.gov (United States)

    Devolder, K

    2006-01-01

    This paper discusses two proposals to the US President's Council on Bioethics that try to overcome the issue of killing embryos in embryonic stem (ES) cell research and argues that neither of them can hold good as a compromise solution. The author argues that (1) the groups of people for which the compromises are intended neither need nor want the two compromises, (2) the US government and other governments of countries with restrictive regulation on ES cell research have not provided a clear and sound justification to take into account minority views on the protection of human life to such a considerable extent as to constrain the freedom of research in the area of stem cell research, and (3) the best way to deal with these issues is to accept that many people and most governments adopt a gradualist and variable viewpoint on the human embryo which implies that embryos can be sacrificed for good reasons and to try to find other, less constraining, ways to take into account minority views on the embryo. Finally, another more efficient and time and money sparing compromise will be proposed for those who accept IVF, a majority in most societies. PMID:16373523

  20. A real time Named Entity Recognition system for Arabic text mining

    OpenAIRE

    Aljumaily, Harith Taha Abdulla; Martínez, Paloma; Martínez Fernández, José Luis; Van Der Goot, E.

    2012-01-01

    Arabic is the most widely spoken language in the Arab World. Most people of the Islamic World understand the Classic Arabic language because it is the language of the Qur'an. Despite the fact that in the last decade the number of Arabic Internet users (Middle East and North and East of Africa) has increased considerably, systems to analyze Arabic digital resources automatically are not as easily available as they are for English. Therefore, in this work, an attempt is made to build a real tim...

  1. 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.

  2. [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

  3. 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.

  4. 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

  5. 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

  6. 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...

  7. 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

  8. Big Data Entity Resolution: : From Highly to Somehow Similar Entity Descriptions in the Web

    OpenAIRE

    Efthymiou, Vasilis; Stefanidis, Kostas; Christophides, Vassilis

    2015-01-01

    —In the Web of data, entities are described by inter-linked data rather than documents on the Web. In this work, we focus on entity resolution in the Web of data, i.e., identifying descriptions that refer to the same real-world entity. To reduce the required number of pairwise comparisons, methods for entity resolution perform blocking as a pre-processing step. A blocking technique places similar entity descriptions into blocks and executes comparisons only between descriptions within the sam...

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

    Science.gov (United States)

    Doerr, D F

    1992-08-01

    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. PMID:1402774

  10. 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.

  11. 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

  12. 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...

  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. An Italian Biomedical Publications Database

    OpenAIRE

    De Robbio, Antonella; Mozzati, Paola; Lazzari, Luigina; Maguolo, Dario; Dolfino, Manuela; Gradito, Paola

    2002-01-01

    Periodical scientific literature is one of the most important information sources for the scientific community and particularly for biomedicine. As regards Italian publications today, a part from very few laudable exceptions, there is a lack of the instruments necessary for accessing the information that they contain. With over 700 Italian biomedical texts, only 25% are mentioned in the more important biomedical data banks, such as Medline, Embase, Pascal, CAB, with unfortunately a great deal...

  15. 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

  16. 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...

  17. Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine

    OpenAIRE

    Doan, Son; Xu, Hua

    2010-01-01

    Due to the lack of annotated data sets, there are few studies on machine learning based approaches to extract named entities (NEs) in clinical text. The 2009 i2b2 NLP challenge is a task to extract six types of medication related NEs, including medication names, dosage, mode, frequency, duration, and reason from hospital discharge summaries. Several machine learning based systems have been developed and showed good performance in the challenge. Those systems often involve two steps: 1) recogn...

  18. Pro Entity Framework 4.0

    CERN Document Server

    Wightman, James

    2010-01-01

    Previously, SQL developers have been able to almost entirely ignore the SQLCLR and treat it as a peripheral technology-almost an extension to the main product. With the advent of LINQ and the Entity Framework, this is no longer the case, and the SQLCLR is moving to the center stage. It's a powerful product but, for many, it is an entirely new way of working with data. Pro Entity Framework 4.0 will help readers understand the implications of the Entity Framework and how it can be used to change their development practices and make their databases more powerful and flexible. Since many readers w

  19. 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.

  20. 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...

  1. 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...

  2. 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...

  3. 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.

  4. 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...

  5. 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...

  6. 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

  7. 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...

  8. 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 ...

  9. 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 ...

  10. 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

  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. 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

  13. 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

  14. 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.

  15. 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.

  16. 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,...

  17. 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

  18. Recognizing Thousands of Legal Entities through Instance-based Visual Classification

    OpenAIRE

    Leveau, Valentin; Joly, Alexis; Buisson, Olivier; Letessier, Pierre; Valduriez, Patrick

    2014-01-01

    This paper considers the problem of recognizing legal en-tities in visual contents in a similar way to named-entity recognizers for text documents. Whereas previous works were restricted to the recognition of a few tens of logotypes, we generalize the problem to the recognition of thousands of legal persons, each being modeled by a rich corporate identity automatically built from web images. We intro-duce a new geometrically-consistent instance-based classifi-cation method that is shown to ou...

  19. 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

  20. 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

  1. 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.

  2. 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...

  3. 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

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

    OpenAIRE

    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 given by Jerome, Ambrose and others, and introduced into Ireland by Christian missionaries (fifth to sixth centuries). Subsequently, under the influence of Irish Christian missionaries in northern ...

  5. 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.

  6. 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...... affect their judgments of people and objects. We extend this research by investigating the effect of phonological fluency on recognition and recall of novel non-word brand names in three laboratory experiments. The results provide us with a more fine-grained idea of fluency effects on memory of non-word...

  7. Number names and number understanding

    DEFF Research Database (Denmark)

    Ejersbo, Lisser Rye; Misfeldt, Morten

    2014-01-01

    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....

  8. 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

  9. 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 to the...

  10. Biomedical applications of supermagnetic nanoparticles

    Czech Academy of Sciences Publication Activity Database

    Horák, Daniel; Babič, Michal; Kubinová, Šárka; Schmiedtová, M.; Poledne, R.; Herynek, V.; Sundstrom, T.; Altanerova, V.; Borisova, T.

    Prague : Institute of Macromolecular Chemistry AS CR, 2015. s. 18. [Research Postdoctoral Colloquium. 14.05.2015, Prague] R&D Projects: GA MŠk(CZ) EE2.3.30.0029; GA MŠk(CZ) ED1.1.00/02.0109 Institutional support: RVO:61389013 ; RVO:68378041 Keywords : biomedical applications * supermagnetic nanoparticles Subject RIV: CE - Biochemistry

  11. National Space Biomedical Research Institute

    Science.gov (United States)

    2004-01-01

    This report outlines the National Space Biomedical Research Institute's (NSBRI) activities during FY 2004, the Institute's seventh year. It is prepared in accordance with Cooperative Agreement NCC 9-58 between NASA's Lyndon B. Johnson Space Center (JSC) and the Institute's lead institution, Baylor College of Medicine.

  12. 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.

  13. 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).

  14. 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.

  15. 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

  16. 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.

  17. 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.

  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. 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

  20. 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....

  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. 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...

  3. 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....

  4. 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...

  5. 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.

  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. 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)...

  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. 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.

  10. 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.

  11. Using nanoinformatics methods for automatically identifying relevant nanotoxicology entities from the literature.

    Science.gov (United States)

    García-Remesal, Miguel; García-Ruiz, Alejandro; Pérez-Rey, David; de la Iglesia, Diana; Maojo, Víctor

    2013-01-01

    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. PMID:23509721

  12. A new Internet Naming System

    OpenAIRE

    Pfeifer, Gert

    2009-01-01

    In this thesis I describe my research activities and results of the last 4 years. I also provide an outlook and guidelines on how to proceed with our project, that we named SEDNS - Security-Enhanced Domain Name System. This project’s ambitions are to complement DNS, the Domain Name System, in a way that allows us to keep using it in the future. The main reason for this strategy is, that it has proven to be difficult to change any part of the Internet infrastructure, such as parts of the pr...

  13. [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

  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. Towards Openness in Biomedical Informatics

    OpenAIRE

    Maojo Garcia, Victor Manuel; Jiménez Castellanos, Ana; Iglesia Jimenez, Diana de la

    2011-01-01

    Over the last years, and particularly in the context of the COMBIOMED network, our biomedical informatics (BMI) group at the Universidad Politecnica de Madrid has carried out several approaches to address a fundamental issue: to facilitate open access and retrieval to BMI resources —including software, databases and services. In this regard, we have followed various directions: a) a text mining-based approach to automatically build a “resourceome”, an inventory of open resources, b) met...

  16. 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<

  17. 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

  18. 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.

  19. 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.

  20. 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...

  1. 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...

  2. 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...

  3. A scalable machine-learning approach to recognize chemical names within large text databases

    OpenAIRE

    Wren Jonathan D

    2006-01-01

    Abstract Motivation The use or study of chemical compounds permeates almost every scientific field and in each of them, the amount of textual information is growing rapidly. There is a need to accurately identify chemical names within text for a number of informatics efforts such as database curation, report summarization, tagging of named entities and keywords, or the development/curation of reference databases. Results A first-order Markov Model (MM) was evaluated for its ability to disting...

  4. Using Linguistic Information and Machine Learning Techniques to Identify Entities from Juridical Documents

    OpenAIRE

    Gonçalves, Teresa; Quaresma, Paulo

    2010-01-01

    Information extraction from legal documents is an important and open problem. A mixed approach, using linguistic information and machine learning techniques, is described in this paper. In this approach, top-level legal concepts are identified and used for document classifica- tion using Support Vector Machines. Named entities, such as, locations, organizations, dates, and document references, are identified using se- mantic information from the output of a natural language parser. This infor...

  5. 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...

  6. Learning plan applicability through active mental entities

    International Nuclear Information System (INIS)

    This paper aims at laying down the foundations of a new approach to learning in autonomous mobile robots. It is based on the assumption that robots can be provided with built-in action plans and with mechanisms to modify and improve such plans. This requires that robots are equipped with some form of high-level reasoning capabilities. Therefore, the proposed learning technique is embedded in a novel distributed control architecture featuring an explicit model of robot's cognitive activity. In particular, cognitive activity is obtained by the interaction of active mental entities, such as intentions, persuasions and expectations. Learning capabilities are implemented starting from the interaction of such mental entities. The proposal is illustrated through an example concerning a robot in charge of reaching a target in an unknown environment cluttered with obstacles

  7. 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.

  8. 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 ...

  9. HAMMAN’S SYNDROME: A RARE ENTITY

    OpenAIRE

    Ajmal Shad; Ravichandra; Devdas; Vasu; Vivek

    2014-01-01

    Hamman's syndrome is a rare entity, also known as Macklin's syndrome, a syndrome of spontaneous subcutaneous emphysema and pneumomediastinum. We report an unusual case of a young female patient presenting with breathlessness and chest pain of sudden onset, gradually progressive in nature and with history of bronchial asthma for last 8 years, along with other investigations. Chest x ray and computerized tomography was and later diagnosed as Hamman's syndrome

  10. Primary Mucosal Melanoma: Uncommonly Described Entity

    Directory of Open Access Journals (Sweden)

    Kaushal Yadav

    2015-12-01

    Full Text Available Because of rarity and clinical challenges arising from different anatomic location, our understanding of optimal management of mucosal melanoma remains limited. The most common sites for primary mucosal melanoma are head and neck followed by anorectal, and vulvovaginal regions. Data are limited but improved understanding has led to change in management from more radical excision to conservative surgery with negative margins. We try to summarize available evidences for management this uncommonly described entity.

  11. 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...

  12. 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.

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

    OpenAIRE

    Madalina Zanoaga; Fulga Tanasa

    2014-01-01

    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.

  14. 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.

  15. 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....

  16. 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.

  17. 17 CFR 229.1107 - (Item 1107) Issuing entities.

    Science.gov (United States)

    2010-04-01

    ... capitalization of the issuing entity and the amount or nature of any equity contribution to the issuing entity by... loans originated under the Federal Family Education Loan Program of the Higher Education Act of 1965...

  18. EntityAuthority: Semantically Enriched Graph-Based Authority Propagation

    OpenAIRE

    Stoyanovich, Julia; Bedathur, Srikanta; Berberich, Klaus; Weikum, Gerhard

    2007-01-01

    This paper pursues the recently emerging paradigm of searching for entities that are embedded in Web pages. We utilize information extraction techniques to identify entity candidates in documents, map them onto entries in a richly structured ontology, and derive a generalized data graph that encompasses {W}eb pages, entities, and ontological concepts and relationships. We exploit this combination of pages and entities for a novel kind of search-result ranking, coined {E...

  19. Tax Basis Determinations, Pass-Through Entities, and Taxpayer Noncompliance

    OpenAIRE

    James Alm; Jay A. Soled

    2014-01-01

    In the United States, one of the most popular ways to conduct business is to use a pass- through entity such as a partnership, limited liability company, or S corporation. Investor taxpayers in such pass-through entities commonly hold their ownership interest for years or decades. Over this lengthy period of time, a taxpayer's tax basis in the entity is subject to constant annual adjustments, which generally have no immediate tax consequences. However, when the pass-through entity investment ...

  20. Economic activities of legal entities: problems of theory and practice

    OpenAIRE

    Кочин, Володимир

    2016-01-01

    The article devoted to the theoretical definition of types of economic activity of legal entities, the relationship with their organizational and legal forms and types. It is proposed to move away from identifying the type of legal entity with its activities and stresses the need to define the principles of economic regulation.English abstractThe purpose of this article is to define the current view of the kinds of economic entities and their relationship with the types of legal entities and ...

  1. "Mater puerorum'. A medieval naming for an enigmatic children's disease.

    Science.gov (United States)

    Kottek, S S

    1981-09-01

    The pediatric clinical entity called "Mater Puerorum' appears first in the latin translation of Rhazes' "Practica Puerorum' and in his "Continens'. His descriptions of the disease could give some likeness either to a diagnosis of night terrors, or of hyperpyretic convulsions, or of a slight form of epilepsy. Mater Puerorum is afterwards described by most pediatric authors till the Renaissance period without much originality. Rhazes being one of their main sources anyway. Mater Puerorum has been considered by Still and Radbill as a synonym for hysterical fits in children. Going back to the Arabic original naming: Ummu's Sibyan, we venture another etymology based on Babylonian-Judeo-Arabic demonology. The "Mother of the Children' could be the female demon Karina--or Lilith--which is said to come to plague the children at night. The naming Mater Puerorum could thus be ascribed to a folklore origin, rather than to hysteria. PMID:7023949

  2. Securing a biomedical communications future: thinking strategically.

    Science.gov (United States)

    Stein, D

    1985-11-01

    Ensuring continued growth and viability of the biomedical communication function has become a critical task of the biomedical communications director. Thinking strategically is a cognitive process which assists a director in visualizing programs and tactics which meet clients needs, creates competitive advantages for the biomedical communications unit and builds on existing unit strengths. Thinking strategically can be divided into five phases: strategic vision, strategy development, strategic plan implementation, strategic plan dissemination, and strategic plan evaluation. Each sequence leads the biomedical communications director through a process designed to increase the effectiveness of the biomedical unit and to meet the challenges posed by an environment characterized by diminished financial, material, and human resources as well as respond to threats and opportunities posed by increased competition in the biomedical communications product and marketplace. PMID:4077850

  3. 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...

  4. The Naming of Oedipa Maas

    Directory of Open Access Journals (Sweden)

    Emma V. Miller

    2012-07-01

    Full Text Available This article examines the act of naming in 'The Crying of Lot 49' and its relevance to the gendering of Oedipa's pursuit of knowledge. By examining the grand narratives implied by Oedipa's name, the paper explores the potential for this novel to be a feminist narrative which makes statements about the female religious role and the position of women in relation to psychoanalysis. The novel is considered against its contemporaneous cultural climate in terms of the second wave of feminism, the discovery of previously suppressed religious texts and the emerging emphasis on psychoanalytic discourse in everyday speech.

  5. 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...

  6. 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...

  7. 42 CFR 410.144 - Quality standards for deemed entities.

    Science.gov (United States)

    2010-10-01

    ... 42 Public Health 2 2010-10-01 2010-10-01 false Quality standards for deemed entities. 410.144...-Management Training and Diabetes Outcome Measurements § 410.144 Quality standards for deemed entities. An organization approved and recognized by CMS may accredit an entity to meet one of the following sets of...

  8. 37 CFR 381.2 - Definition of public broadcasting entity.

    Science.gov (United States)

    2010-07-01

    ... broadcasting entity. 381.2 Section 381.2 Patents, Trademarks, and Copyrights COPYRIGHT ROYALTY BOARD, LIBRARY... WITH NONCOMMERCIAL EDUCATIONAL BROADCASTING § 381.2 Definition of public broadcasting entity. As used in this part, the term public broadcasting entity means a noncommercial educational broadcast...

  9. 37 CFR 253.2 - Definition of public broadcasting entity.

    Science.gov (United States)

    2010-07-01

    ... broadcasting entity. 253.2 Section 253.2 Patents, Trademarks, and Copyrights COPYRIGHT OFFICE, LIBRARY OF... CONNECTION WITH NONCOMMERCIAL EDUCATIONAL BROADCASTING § 253.2 Definition of public broadcasting entity. As used in this part, the term public broadcasting entity means a noncommercial educational...

  10. 49 CFR 37.29 - Private entities providing taxi service.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 1 2010-10-01 2010-10-01 false Private entities providing taxi service. 37.29... INDIVIDUALS WITH DISABILITIES (ADA) Applicability § 37.29 Private entities providing taxi service. (a) Providers of taxi service are subject to the requirements of this part for private entities...

  11. 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 ...

  12. 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...

  13. 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...

  14. 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...

  15. 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.

  16. 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.

  17. 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.

  18. 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

  19. GPU programming for biomedical imaging

    Science.gov (United States)

    Caucci, Luca; Furenlid, Lars R.

    2015-08-01

    Scientific computing is rapidly advancing due to the introduction of powerful new computing hardware, such as graphics processing units (GPUs). Affordable thanks to mass production, GPU processors enable the transition to efficient parallel computing by bringing the performance of a supercomputer to a workstation. We elaborate on some of the capabilities and benefits that GPU technology offers to the field of biomedical imaging. As practical examples, we consider a GPU algorithm for the estimation of position of interaction from photomultiplier (PMT) tube data, as well as a GPU implementation of the MLEM algorithm for iterative image reconstruction.

  20. 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

  1. 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.

  2. 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

  3. 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.

  4. 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.

  5. 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…

  6. 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

  7. Living Up to Your Name.

    Science.gov (United States)

    Benes, Clarence H.; Steinbrink, John E.

    1996-01-01

    Describes a class project where students conduct research about their names. These intensely personal activities foster historical and multicultural insight, prosocial action, and a sense of community on the part of the students. Includes an appendix with lesson plans, extension activities, and related resources. (MJP)

  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. 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

  10. Biomedical information retrieval across languages.

    Science.gov (United States)

    Daumke, Philipp; Markü, Kornél; Poprat, Michael; Schulz, Stefan; Klar, Rüdiger

    2007-06-01

    This work presents a new dictionary-based approach to biomedical cross-language information retrieval (CLIR) that addresses many of the general and domain-specific challenges in current CLIR research. Our method is based on a multilingual lexicon that was generated partly manually and partly automatically, and currently covers six European languages. It contains morphologically meaningful word fragments, termed subwords. Using subwords instead of entire words significantly reduces the number of lexical entries necessary to sufficiently cover a specific language and domain. Mediation between queries and documents is based on these subwords as well as on lists of word-n-grams that are generated from large monolingual corpora and constitute possible translation units. The translations are then sent to a standard Internet search engine. This process makes our approach an effective tool for searching the biomedical content of the World Wide Web in different languages. We evaluate this approach using the OHSUMED corpus, a large medical document collection, within a cross-language retrieval setting. PMID:17541863

  11. Fikční jména, fikční entity a role předstírání: chvála abstinence

    Czech Academy of Sciences Publication Activity Database

    Koťátko, Petr

    2016-01-01

    Roč. 26, č. 53 (2016), s. 93-101. ISSN 0862-8440 Institutional support: RVO:67985955 Keywords : fictional names * fictional entities * fictional discourse * abstract entities * pretense Subject RIV: AA - Philosophy ; Religion http://hdl.handle.net/11104/0259936

  12. "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…

  13. 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

    2014-01-01

    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. PMID:24602174

  14. Doped DLC coatings for biomedical applications

    Czech Academy of Sciences Publication Activity Database

    Písařík, Petr; Jelínek, Miroslav; Kocourek, Tomáš; Mikšovský, Jan; Remsa, Jan; Zemek, Josef; Jurek, Karel

    Kladno: CTU Faculty of Biomedical Engineering, 2015 - (Jelínek, M.). s. 19 ISBN 978-80-01-05809-1. [Progressive Biomedical Materials and Technologies 2015. 09.10.2015-10.10.2015, Kladno] Institutional support: RVO:68378271 Keywords : biomaterials * doped materials * thin films * diamond like carbon * hydroxyapatite Subject RIV: BM - Solid Matter Physics ; Magnetism

  15. 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.  .

  16. 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.

  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. 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.

  19. 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

  20. 27 CFR 7.23 - Brand names.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Brand names. 7.23 Section... Beverages § 7.23 Brand names. (a) General. The product shall bear a brand name, except that if not sold under a brand name, then the name of the person required to appear on the brand label shall be deemed...

  1. Liponeurocytoma Cerebellar. A new entity; first national case

    International Nuclear Information System (INIS)

    The first case of this new entity is presented and accepted within the new SNC (Central nervous system) classification of OMS in 2000. This is about a patient with 52 years old with 9 month of evolution history who presents signs of weight loss and is hospitalized with HEC progressive elements, hydrocephalusand installled coma. The Computerized Axial Tomography reveals expansive process in the posterior fossa hemispheric and cerebellopontine angle 4x5 cms inhomogeneous with bleeding elements and lipid content areas. Is arises the probability of Epidermoid cyst. The surgery is carried out with complete excision of the encapsulated aspiratable lesion. Good postoperative course without gaps. The histopathology revealed typical elements described in the literature: presence of adipose cells and neurocytic proliferation with small elements.This led that the tumor received among others the adult lipomeduloblastoma name but showing a good prognosis in contrast with the classic medulloblastoma. Currently cataloged such as grade II and there are not statistics in the literature because there are only published isolated cases

  2. 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.

  3. 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.

  4. 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

  5. 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.

  6. [New entities and the criteria of FTLD].

    Science.gov (United States)

    Otsuki, Mika

    2016-03-01

    This article provides an overview of the historical entity hitherto, the pivotal clinical symptoms of FTLD (frontotemporal lobar degeneration), and an introduction for the revised criteria for bvFTD (behavioral variant frontotemporal dementia): FTDC (International Behavioral Variant FTD Criteria Consortium) presented by Rascovsky et al(2011), and the classification criteria for PPA(primary progressive aphasia) heralded by Gorno-Tempini et al (2011). According to the former criteria, bvFTD can be diagnosed by the clinical symptoms as having possible bvFTD or probable bvFTD, and the pathological findings could lead definite bvFTD. In the latter classification criteria of PPA, two types are implicated in FTLD: one is the non-fluent/agrammatic variant PPA(PNFA/nfvPPA/naPPA), and the other is semantic variant PPA(SD/svPPA). PMID:27025087

  7. Linear atrophoderma of Moulin: an underrecognized entity.

    Science.gov (United States)

    Zahedi Niaki, Omid; Sissons, Wendy; Nguyen, Van-Hung; Zargham, Ramin; Jafarian, Fatemeh

    2015-01-01

    Linear atrophoderma of Moulin (LAM) is an acquired skin condition that manifests in early childhood and adolescence. It likely represents a form of cutaneous mosaicism that presents with linear, hyperpigmented and atrophic lesions appearing on the trunk and limbs. Its clinical appearance varies and may closely resemble that of atrophoderma of Pasini and Pierini (APP) and linear scleroderma. LAM usually follows a benign course and no effective treatment options exist. We present a case of a young and healthy patient that developed such lesions on her upper and lower extremities over 5 years. The initial clinical impression of linear scleroderma was reviewed in favor of LAM following histological examination of the lesions which revealed no significant inflammatory changes. LAM remains a rare and possibly under recognized entity with reports confined only to the dermatologic literature. This case highlights the importance of recognizing LAM and distinguishing it from linear scleroderma given the significant differences in management and prognosis. PMID:26438123

  8. 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

  9. 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)

  10. 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

  11. [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

  12. 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.

  13. 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...

  14. 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.

  15. 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.

  16. 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.

  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)

    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. 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. PMID:26851671

  20. Occurrence Statistics of Entities, Relations and Types on the Web

    OpenAIRE

    Madaan, Aman; Sarawagi, Sunita

    2016-01-01

    The problem of collecting reliable estimates of occurrence of entities on the open web forms the premise for this report. The models learned for tagging entities cannot be expected to perform well when deployed on the web. This is owing to the severe mismatch in the distributions of such entities on the web and in the relatively diminutive training data. In this report, we build up the case for maximum mean discrepancy for estimation of occurrence statistics of entities on the web, taking a r...

  1. 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 an...

  2. 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...

  3. Central nervous system injury in utero: selected entities.

    Science.gov (United States)

    Naidich, Thomas P; Griffiths, Paul D; Rosenbloom, Lorne

    2015-09-01

    This report discusses the syndrome of amnionic bands, anencephaly, schizencephaly and hydranencephaly, four entities whose pathogenesis includes significant injury to the fetus in utero. PMID:26346151

  4. 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.

  5. Holographic lithography for biomedical applications

    Science.gov (United States)

    Stankevicius, E.; Balciunas, E.; Malinauskas, M.; Raciukaitis, G.; Baltriukiene, D.; Bukelskiene, V.

    2012-06-01

    Fabrication of scaffolds for cell growth with appropriate mechanical characteristics is top-most important for successful creation of tissue. Due to ability of fast fabrication of periodic structures with a different period, the holographic lithography technique is a suitable tool for scaffolds fabrication. The scaffolds fabricated by holographic lithography can be used in various biomedical investigations such as the cellular adhesion, proliferation and viability. These investigations allow selection of the suitable material and geometry of scaffolds which can be used in creation of tissue. Scaffolds fabricated from di-acrylated poly(ethylene glycol) (PEG-DA-258) over a large area by holographic lithography technique are presented in this paper. The PEG-DA scaffolds fabricated by holographic lithography showed good cytocompatibility for rabbit myogenic stem cells. It was observed that adult rabbit muscle-derived myogenic stem cells grew onto PEG-DA scaffolds. They were attached to the pillars and formed cell-cell interactions. It demonstrates that the fabricated structures have potential to be an interconnection channel network for cell-to-cell interactions, flow transport of nutrients and metabolic waste as well as vascular capillary ingrowth. These results are encouraging for further development of holographic lithography by improving its efficiency for microstructuring three-dimensional scaffolds out of biodegradable hydrogels

  6. Understanding Metabolomics in Biomedical Research.

    Science.gov (United States)

    Kim, Su Jung; Kim, Su Hee; Kim, Ji Hyun; Hwang, Shin; Yoo, Hyun Ju

    2016-03-01

    The term "omics" refers to any type of specific study that provides collective information on a biological system. Representative omics includes genomics, proteomics, and metabolomics, and new omics is constantly being added, such as lipidomics or glycomics. Each omics technique is crucial to the understanding of various biological systems and complements the information provided by the other approaches. The main strengths of metabolomics are that metabolites are closely related to the phenotypes of living organisms and provide information on biochemical activities by reflecting the substrates and products of cellular metabolism. The transcriptome does not always correlate with the proteome, and the translated proteome might not be functionally active. Therefore, their changes do not always result in phenotypic alterations. Unlike the genome or proteome, the metabolome is often called the molecular phenotype of living organisms and is easily translated into biological conditions and disease states. Here, we review the general strategies of mass spectrometry-based metabolomics. Targeted metabolome or lipidome analysis is discussed, as well as nontargeted approaches, with a brief explanation of the advantages and disadvantages of each platform. Biomedical applications that use mass spectrometry-based metabolomics are briefly introduced. PMID:26676338

  7. 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?

  8. Editorial: Why Do Species’ Names Change?

    Directory of Open Access Journals (Sweden)

    Patricia A. Folley

    2004-12-01

    Full Text Available The reason why scientific names change is because research is constantly correcting errors and scholarship is constantly untangling the related misconceptions. Until the advent of the Internet new names and name changes were approved by the International Botanical Congresses that met at ten-year intervals. Between intervals, proposed new names were published by recognized publications like Rhodora or Sida.

  9. A radiographic anthology of vertebral names

    International Nuclear Information System (INIS)

    A total of 88 such named vertebrae have been extracted from the literature. With so many names from scattered sources, the authors collated them in a single presentation. A description is given and the anatomical and pathogenic reasons for the appearances are considered. A list of conditions associated with each named vertebra accompanies the descriptive paragraph. The named vertebrae are presented in alphabetical order

  10. VI Latin American Congress on Biomedical Engineering

    CERN Document Server

    Hadad, Alejandro

    2015-01-01

    This volume presents the proceedings of the CLAIB 2014, held in Paraná, Entre Ríos, Argentina 29, 30 & 31 October 2014. The proceedings, presented by the Regional Council of Biomedical Engineering for Latin America (CORAL) offer research findings, experiences and activities between institutions and universities to develop Bioengineering, Biomedical Engineering and related sciences. The conferences of the American Congress of Biomedical Engineering are sponsored by the International Federation for Medical and Biological Engineering (IFMBE), Society for Engineering in Biology and Medicine (EMBS) and the Pan American Health Organization (PAHO), among other organizations and international agencies and bringing together scientists, academics and biomedical engineers in Latin America and other continents in an environment conducive to exchange and professional growth. The Topics include: - Bioinformatics and Computational Biology - Bioinstrumentation; Sensors, Micro and Nano Technologies - Biomaterials, Tissu...

  11. Lanthanides fluorides doped nanocrystals for biomedical applications

    Czech Academy of Sciences Publication Activity Database

    Podhorodecki, A.; Noculak, A.; Banski, M.; Sojka, B.; Zelazo, A.; Misiewicz, J.; Cichos, J.; Karbowiak, M.; Zasońska, Beata Anna; Horák, Daniel; Sikora, B.; Elbaum, D.; Dumych, T.; Bilyy, R.; Szewczyk, M.

    Orlando : The Electrochemical Society, 2014. R1-1581. [ECS Meeting /225./. 11.05.2014-15.05.2014, Orlando] Institutional support: RVO:61389013 Keywords : nanocrystals * biomedical applications Subject RIV: CD - Macromolecular Chemistry

  12. Computer vision for biomedical image applications. Proceedings

    International Nuclear Information System (INIS)

    This book constitutes the refereed proceedings of the First International Workshop on Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends, CVBIA 2005, held in Beijing, China, in October 2005 within the scope of ICCV 20. (orig.)

  13. NICHD Biomedical Mass Spectrometry Core Facility

    Data.gov (United States)

    Federal Laboratory Consortium — The NICHD Biomedical Mass Spectrometry Core Facility was created under the auspices of the Office of the Scientific Director to provide high-end mass-spectrometric...

  14. Towards Nanoscale Biomedical Devices in Medicine

    DEFF Research Database (Denmark)

    Parracino, A.; Gajula, G.P.; di Gennaro, A.K.;

    2011-01-01

    Medical interest in nanotechnology originates from a belief that nanoscale therapeutic devices can be constructed and directed towards its target inside the human body. Such nanodevices can be engineered by coupling superparamagnetic nanoparticle to biomedically active proteins. We hereby report ...

  15. NIH/NSF accelerate biomedical research innovations

    Science.gov (United States)

    A collaboration between the National Science Foundation and the National Institutes of Health will give NIH-funded researchers training to help them evaluate their scientific discoveries for commercial potential, with the aim of accelerating biomedical in

  16. 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

  17. CLEANCHARS: Stata module to replace specific characters or strings in variable names and/or variable labels and/or string variable values and/or value label names and levels with stated characters/strings (using 1-1 or m-1 match)

    OpenAIRE

    Lars Angquist

    2013-01-01

    cleanchars is a program that helps out with replacing unwanted/inconvenient characters/strings in the currently active dataset. Entities searched through, and where changes could be applied, are (i) variable names (ii) variable labels (iii) string variable values (iv) value label names and corresponding level-labels. Moreover, an option directly putting all variable names into lower case is available. Note: Changes related to variable names depend on the user-written command ‘renvars’ (Weesie...

  18. UMLS knowledge for biomedical language processing.

    OpenAIRE

    McCray, A T; Aronson, A. R.; Browne, A. C.; Rindflesch, T. C.; A razi; Srinivasan, S

    1993-01-01

    This paper describes efforts to provide access to the free text in biomedical databases. The focus of the effort is the development of SPECIALIST, an experimental natural language processing system for the biomedical domain. The system includes a broad coverage parser supported by a large lexicon, modules that provide access to the extensive Unified Medical Language System (UMLS) Knowledge Sources, and a retrieval module that permits experiments in information retrieval. The UMLS Metathesauru...

  19. Biomedical image understanding methods and applications

    CERN Document Server

    Lim, Joo-Hwee; Xiong, Wei

    2015-01-01

    A comprehensive guide to understanding and interpreting digital images in medical and functional applications Biomedical Image Understanding focuses on image understanding and semantic interpretation, with clear introductions to related concepts, in-depth theoretical analysis, and detailed descriptions of important biomedical applications. It covers image processing, image filtering, enhancement, de-noising, restoration, and reconstruction; image segmentation and feature extraction; registration; clustering, pattern classification, and data fusion. With contributions from ex

  20. Advanced computational approaches to biomedical engineering

    CERN Document Server

    Saha, Punam K; Basu, Subhadip

    2014-01-01

    There has been rapid growth in biomedical engineering in recent decades, given advancements in medical imaging and physiological modelling and sensing systems, coupled with immense growth in computational and network technology, analytic approaches, visualization and virtual-reality, man-machine interaction and automation. Biomedical engineering involves applying engineering principles to the medical and biological sciences and it comprises several topics including biomedicine, medical imaging, physiological modelling and sensing, instrumentation, real-time systems, automation and control, sig

  1. Semiconducting silicon nanowires for biomedical applications

    CERN Document Server

    Coffer, JL

    2014-01-01

    Biomedical applications have benefited greatly from the increasing interest and research into semiconducting silicon nanowires. Semiconducting Silicon Nanowires for Biomedical Applications reviews the fabrication, properties, and applications of this emerging material. The book begins by reviewing the basics, as well as the growth, characterization, biocompatibility, and surface modification, of semiconducting silicon nanowires. It goes on to focus on silicon nanowires for tissue engineering and delivery applications, including cellular binding and internalization, orthopedic tissue scaffol

  2. The growth of biomedical terahertz research

    International Nuclear Information System (INIS)

    Interest in biomedical terahertz research is growing rapidly and there are now several terahertz groups in Asia, Europe and the US investigating potential applications such as pharmaceutical quality control, protein characterization and cancer detection. This review article outlines the technological bottlenecks that have been overcome which have made biomedical terahertz research possible. Key research findings will be presented, and the limitations that remain and the research initiatives that strive to address them will also be discussed. (paper)

  3. Carbon Nanotubes Reinforced Composites for Biomedical Applications

    OpenAIRE

    Wei Wang(College of William and Mary); Yuhe Zhu; Susan Liao; Jiajia Li

    2014-01-01

    This review paper reported carbon nanotubes reinforced composites for biomedical applications. Several studies have found enhancement in the mechanical properties of CNTs-based reinforced composites by the addition of CNTs. CNTs reinforced composites have been intensively investigated for many aspects of life, especially being made for biomedical applications. The review introduced fabrication of CNTs reinforced composites (CNTs reinforced metal matrix composites, CNTs reinforced polymer matr...

  4. Biomedical photonics handbook therapeutics and advanced biophotonics

    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 recent fundamental developments as well as important applications of biomedical photonics of interest to scientists, engineers, manufacturers, teachers,

  5. [Open access :an opportunity for biomedical research].

    OpenAIRE

    Duchange, Nathalie; Autard, Delphine; Pinhas, Nicole

    2008-01-01

    International audience Open access within the scientific community depends on the scientific context and the practices of the field. In the biomedical domain, the communication of research results is characterised by the importance of the peer reviewing process, the existence of a hierarchy among journals and the transfer of copyright to the editor. Biomedical publishing has become a lucrative market and the growth of electronic journals has not helped lower the costs. Indeed, it is diffic...

  6. Environmental practices for biomedical research facilities.

    OpenAIRE

    Medlin, E L; Grupenhoff, J T

    2000-01-01

    As a result of the Leadership Conference on Biomedical Research and the Environment, the Facilities Committee focused its work on the development of best environmental practices at biomedical research facilities at the university and independent research facility level as well as consideration of potential involvement of for-profit companies and government agencies. The designation "facilities" includes all related buildings and grounds, "green auditing" of buildings and programs, purchasing ...

  7. Science gateways for biomedical big data analysis

    OpenAIRE

    Kampen, van, PJW; Olabarriaga, S.D.; Shahand, S.

    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 from different organizations. Data-driven or e-Science methods are defined as a combination of Information Technology (IT) and science that enables scientists to tackle the data deluge challenges. Th...

  8. Statistics and Biomedical Informatics in Forensic Sciences

    Czech Academy of Sciences Publication Activity Database

    Zvárová, Jana

    2009-01-01

    Roč. 20, č. 6 (2009), s. 743-750. ISSN 1180-4009. [TIES 2007. Annual Meeting of the International Environmental Society /18./. Mikulov, 16.08.2007-20.08.2007] Institutional research plan: CEZ:AV0Z10300504 Keywords : biomedical informatics * biomedical statistics * genetic information * forensic dentistry Subject RIV: BB - Applied Statistics, Operational Research Impact factor: 1.000, year: 2009

  9. Teaching biomedical applications to secondary students.

    Science.gov (United States)

    Openshaw, S; Fleisher, A; Ljunggren, C

    1999-01-01

    Certain aspects of biomedical engineering applications lend themselves well to experimentation that can be done by high school students. This paper describes two experiments done during a six-week summer internship program in which two high school students used electrodes, circuit boards, and computers to mimic a sophisticated heart monitor and also to control a robotic car. Our experience suggests that simple illustrations of complex instrumentation can be effective in introducing adolescents to the biomedical engineering field. PMID:11143394

  10. Macrophagic myofasciitis in childhood: a controversial entity.

    Science.gov (United States)

    Rivas, Eloy; Gómez-Arnáiz, Mercedes; Ricoy, Jose R; Mateos, Fernando; Simón, Rogelio; García-Peñas, Juan J; Garcia-Silva, Maria T; Martín, Elena; Vázquez, María; Ferreiro, Ana; Cabello, Ana

    2005-11-01

    Macrophagic myofasciitis is an unusual inflammatory myopathy, which has been almost exclusively reported in French adults with diffuse arthromyalgias and asthenia. It is characterized by an infiltrate of densely packed macrophages, with granular periodic-acid-Schiff positive content, on muscle biopsies at the site of vaccination. The presence of aluminum inclusions in these macrophages points to an inappropriate reaction to aluminum used as an adjuvant in some vaccines. Although in adults this entity is well defined, less than 15 cases have been reported in children. This study describes seven children, younger than 3 years of age, with typical lesions of macrophagic myofasciitis on quadriceps muscle biopsy. In five cases, biopsies were performed to exclude mitochondrial pathology. All the children developed hypotonia and motor or psychomotor delay, associated with others symptoms. Abnormal neuroimaging was evident in six cases. Spectrometry studies detected elevated levels of aluminum in muscle in three of four cases tested. Despite the wide use of vaccines in childhood, macrophagic myofasciitis was rarely observed in children and its characteristic histologic pattern could not be correlated with a distinctive clinical syndrome. PMID:16243223

  11. 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.

  12. Psoriatic arthritis as a distinct disease entity

    Directory of Open Access Journals (Sweden)

    Leung Y

    2007-01-01

    Full Text Available Psoriatic arthritis (PsA is a chronic systemic inflammatory disease characterized by joint inflammation associated with cutaneous psoriasis. For many years, the amount of attention directed to PsA had been less than that for various other arthropathies. With the advances in understanding its pathogensis, it is now recognized as a distinct disease entity with characteristic features. Psoriatic arthritis has a greater tendency towards asymmetric oligoarticular involvement, distal interphalangeal involvement and spondylitis. Associated features such as enthesitis and dactylitis are more common. Specific radiological features include ankylosis and bone resorption. With the availability of potent new therapeutic agents for psoriasis and PsA, interest in research and clinical care for these conditions has been reinvigorated. Anti-TNF therapy has achieved encouraging efficacy in both the joints and skin disease, improving function and quality of life and inhibiting radiological progression measured in patients with PsA and psoriasis. Biologic agents may have the potential in addressing the unmet medical need in patients with PsA.

  13. Exploring subdomain variation in biomedical language

    Directory of Open Access Journals (Sweden)

    Séaghdha Diarmuid Ó

    2011-05-01

    Full Text Available Abstract Background Applications of Natural Language Processing (NLP technology to biomedical texts have generated significant interest in recent years. In this paper we identify and investigate the phenomenon of linguistic subdomain variation within the biomedical domain, i.e., the extent to which different subject areas of biomedicine are characterised by different linguistic behaviour. While variation at a coarser domain level such as between newswire and biomedical text is well-studied and known to affect the portability of NLP systems, we are the first to conduct an extensive investigation into more fine-grained levels of variation. Results Using the large OpenPMC text corpus, which spans the many subdomains of biomedicine, we investigate variation across a number of lexical, syntactic, semantic and discourse-related dimensions. These dimensions are chosen for their relevance to the performance of NLP systems. We use clustering techniques to analyse commonalities and distinctions among the subdomains. Conclusions We find that while patterns of inter-subdomain variation differ somewhat from one feature set to another, robust clusters can be identified that correspond to intuitive distinctions such as that between clinical and laboratory subjects. In particular, subdomains relating to genetics and molecular biology, which are the most common sources of material for training and evaluating biomedical NLP tools, are not representative of all biomedical subdomains. We conclude that an awareness of subdomain variation is important when considering the practical use of language processing applications by biomedical researchers.

  14. 78 FR 22270 - Special Fraud Alert: Physician-Owned Entities

    Science.gov (United States)

    2013-04-15

    ... correction to the OIG Federal Register ] notice published on March 29, 2012 (78 FR 19271), on our recently issued Special Fraud Alert on Physician-Owned Entities. Specifically, the Special Fraud Alert addressed... HUMAN SERVICES Office of Inspector General Special Fraud Alert: Physician-Owned Entities AGENCY:...

  15. 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...

  16. 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...

  17. 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...

  18. 12 CFR 607.4 - Assessment of other System entities.

    Science.gov (United States)

    2010-01-01

    ... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Assessment of other System entities. 607.4 Section 607.4 Banks and Banking FARM CREDIT ADMINISTRATION ADMINISTRATIVE PROVISIONS ASSESSMENT AND APPORTIONMENT OF ADMINISTRATIVE EXPENSES § 607.4 Assessment of other System entities. (a)(1) Unless...

  19. 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...

  20. 10 CFR 300.5 - Submission of an entity statement.

    Science.gov (United States)

    2010-01-01

    ... a complete emissions inventory under the 1605(b) program. (ii) The entity's emissions in its start... Inventory Tool (SEIT) provided by EIA and also discussed in Chapter 1. The results of this estimate must be... to land use, land use change, or forestry); (v) Whether the reporting entity is reporting at a...

  1. Brand names between the rule of orthography and rule of law: to break the law or thwart language norms?

    OpenAIRE

    Helena Dobrovoljc

    2013-01-01

    The article presents the divergence between legal norms and rules of orthography with regard to respect for industrial property. In line with international guidelines, the Slovene Industrial Property Act (ZIL-1) endows the owner of industrial property or a brand name with the exclusive right to its use, thus enabling the owner to prohibit its inappropriate use or demand its unmodified use. On the other hand, industrial product names are also linguistic entities, facts submitted to the rules o...

  2. Thresholding lesion overlap difference maps: application to category-related naming and recognition deficits.

    Science.gov (United States)

    Rudrauf, David; Mehta, Sonya; Bruss, Joel; Tranel, Daniel; Damasio, Hanna; Grabowski, Thomas J

    2008-07-01

    Lesion overlap difference maps have been used in studies designed to test anatomical hypotheses regarding brain systems critical for various cognitive and behavioral tasks, including naming and recognition of concrete entities [Damasio, H., Tranel, D., Grabowski, T., Adolphs, R., Damasio, A., 2004. Neural systems behind word and concept retrieval. Cognition 92, 179-229]. To date, the interpretation of these results has focused on areas of maximum lesion overlap differences. Here we explore formal methods for statistical thresholding and power analysis. We derive exact voxel-wise statistics describing the behavior of lesion overlap difference maps and lesion proportion difference maps under the null hypothesis of no association between lesion and deficit, and we apply the statistics to a large subset of the subjects previously reported in [Damasio, H., Tranel, D., Grabowski, T., Adolphs, R., Damasio, A., 2004. Neural systems behind word and concept retrieval. Cognition 92, 179-229], in order to reassess the lesion correlates of deficits in naming and recognition for five categories of concrete entities. The thresholded maps confirmed many of the results reported previously, but also revealed some differences. Differences in spatial distribution of the lesion correlates of impaired naming of unique versus nonunique entities were confirmed in the inferotemporal region (IT), although overlapping components across categories became apparent in left IT. Additionally, the left inferior frontal gyrus (IFG) was implicated in naming both categories of nonunique natural entities (animals and fruits/vegetables). In corresponding power analyses, we estimated where significant effects could be found under an assumption of maximal effect size given the observed spatial distribution of lesions. Such "effective coverage maps" are valuable for the interpretation of the results, notably because of heterogeneity in lesion coverage encountered in lesion studies. We strongly suggest

  3. 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...

  4. Magnetic Nanoparticles for Biomedical Applications

    Science.gov (United States)

    Jing, Ying

    Nanotechnology is revolutionizing human's life. Synthesis and application of magnetic nanoparticles is a fast burgeoning field which has potential to bring significant advance in many fields, for example diagnosis and treatment in biomedical area. Novel nanoparticles to function efficiently and intelligently are in desire to improve the current technology. We used a magnetron-sputtering-based nanocluster deposition technique to synthesize magnetic nanoparticles in gas phase, and specifically engineered nanoparticles for different applications. Alternating magnetic field heating is emerging as a technique to assist cancer treatment or drug delivery. We proposed high-magnetic-moment Fe3Si particles with relatively large magnetic anisotropy energy should in principle provide superior performance. Such nanoparticles were experimentally synthesized and characterized. Their promising magnetic properties can contribute to heating performance under suitable alternating magnetic field conditions. When thermal energy is used for medical treatment, it is ideal to work in a designed temperature range. Biocompatible and "smart" magnetic nanoparticles with temperature self-regulation were designed from both materials science and biomedicine aspects. We chose Fe-Si material system to demonstrate the concept. Temperature dependent physical property was adjusted by tuning of exchange coupling between Fe atoms through incorporation of various amount of Si. The magnetic moment can still be kept in a promising range. The two elements are both biocompatible, which is favored by in-vivo medical applications. A combination of "smart" magnetic particles and thermo-sensitive polymer were demonstrated to potentially function as a platform for drug delivery. Highly sensitive diagnosis for point-of-care is in desire nowadays. We developed composition- and phase-controlled Fe-Co nanoparticles for bio-molecule detection. It has been demonstrated that Fe70Co30 nanoparticles and giant

  5. Nonlinear acoustics in biomedical ultrasound

    Science.gov (United States)

    Cleveland, Robin O.

    2015-10-01

    Ultrasound is widely used to image inside the body; it is also used therapeutically to treat certain medical conditions. In both imaging and therapy applications the amplitudes employed in biomedical ultrasound are often high enough that nonlinear acoustic effects are present in the propagation: the effects have the potential to be advantageous in some scenarios but a hindrance in others. In the case of ultrasound imaging the nonlinearity produces higher harmonics that result in images of greater quality. However, nonlinear effects interfere with the imaging of ultrasound contrast agents (typically micron sized bubbles with a strong nonlinear response of their own) and nonlinear effects also result in complications when derating of pressure measurements in water to in situ values in tissue. High intensity focused ultrasound (HIFU) is emerging as a non-invasive therapeutic modality which can result in thermal ablation of tissue. For thermal ablation, the extra effective attenuation resulting from nonlinear effects can result in enhanced heating of tissue if shock formation occurs in the target region for ablation - a highly desirable effect. However, if nonlinearity is too strong it can also result in undesired near-field heating and reduced ablation in the target region. The disruption of tissue (histotripsy) and fragmentation of kidney stones (lithotripsy) exploits shock waves to produce mechanically based effects, with minimal heating present. In these scenarios it is necessary for the waves to be of sufficient amplitude that a shock exists when the waveform reaches the target region. This talk will discuss how underlying nonlinear phenomenon act in all the diagnostic and therapeutic applications described above.

  6. EVALUATION METHODS USED FOR TANGIBLE ASSETS BY ECONOMIC ENTITIES

    Directory of Open Access Journals (Sweden)

    Csongor CSŐSZ

    2014-06-01

    Full Text Available At many entities the net asset value is influenced by the evaluation methods applied for tangible assets, because the value of intangible assets and financial assets is small in most cases. The objective of this paper is to analyze the differences between the procedures / methods of evaluation applied by micro and small entities and medium and large entities for tangible assets in Romania and Hungary. Furthermore, we analyze the differences between the procedures / methods of evaluation applied by micro and small entities in Romania and Hungary, respectively the differences between medium and large entities regarding de evaluation methods for tangible assets in Romania and Hungary. For this empirical study the questionnaire is used – as research technique, and to demonstrate the significant differences between the evaluation methods we used the Kolmogorov – Smirnov Z test.

  7. NEMO: Extraction and normalization of organization names from PubMed affiliation strings

    CERN Document Server

    Jonnalagadda, Siddhartha

    2011-01-01

    We propose NEMO, a system for extracting organization names in the affiliation and normalizing them to a canonical organization name. Our parsing process involves multi-layered rule matching with multiple dictionaries. The system achieves more than 98% f-score in extracting organization names. Our process of normalization that involves clustering based on local sequence alignment metrics and local learning based on finding connected components. A high precision was also observed in normalization. NEMO is the missing link in associating each biomedical paper and its authors to an organization name in its canonical form and the Geopolitical location of the organization. This research could potentially help in analyzing large social networks of organizations for landscaping a particular topic, improving performance of author disambiguation, adding weak links in the co-author network of authors, augmenting NLM's MARS system for correcting errors in OCR output of affiliation field, and automatically indexing the P...

  8. Biomedical Imaging Registration Trends and Applications

    OpenAIRE

    Tavares, João Manuel R. S.

    2012-01-01

    Data registration, i.e., the process of transforming a dataset so that the entities represented are properly adjusted to the homologous entities represented in a second dataset, has been a topic of huge research in various scientific fields. In Computational Vision, such transformation is commonly used on static images, but also on image sequences, and is usually known as image registration. For example, in medicine, computational methods of image registration have been assuming an essential ...

  9. Revealing the potential of squid chitosan-based structures for biomedical applications

    OpenAIRE

    Reys, L. L.; S.S. Silva; Oliveira, Joaquim M.; Caridade, S. G.; Mano, J. F.; Silva, Tiago H.; Reis, R. L.

    2013-01-01

    In recent years, much attention has been given to different marine organisms, namely as potential sources of valuable materials with a vast range of properties and characteristics. In this work, β-chitin was isolated from the endoskeleton of the giant squid Dosidicus gigas and further deacetylated to produce chitosan. Then, the squid chitosan was processed into membranes and scaffolds using solvent casting and freeze-drying, respectively, to assess their potential biomedical application. The ...

  10. High-Speed Imaging and Optical Sensing Systems for Biomedical Applications

    OpenAIRE

    Mahjoubfar, Ata

    2014-01-01

    High-throughput real-time optical sensing and imaging instruments for capture and analysis of fast phenomena are among the most essential tools for scientific, industrial, military, and most importantly biomedical applications. The key challenge in these instruments is the fundamental trade-off between speed and sensitivity of the measurement system due to the limited signal energy collected in each measurement window. Based on two enabling technologies, namely photonic time-stretch dispersiv...

  11. Statement of value added (dva: wealth distribution to staff and entities capital of sectors autoind

    Directory of Open Access Journals (Sweden)

    Eduardo Wink

    2015-12-01

    Full Text Available This article aimed to analyze the distribution of benefit produced by companies belonging to sectors of Autoindústria and capital goods to the production of agents and working capital in the period between 2008 and 2012, through the Statement of Value Added (DVA. Methodologically we carried out a survey of descriptive purpose, documentary and bibliographic procedure and qualitative approach to the problem. The chosen population was formed by the group of entities named by Exame Magazine - Biggest and Best, 2012 edition, classified in the sectors of Autoindústria and Capital Goods. Being given sample for data accessibility and non-probabilistic, consisting of a Autoindústria the sector, by Embraer, Marcopolo and Mahle companies and in the Capital Goods sector, by companies Romi SA, Kepler-Weber SA and Bardella SA The results revealed Embraer was the entity with higher revenue figures of the group surveyed. Regarding the ability of benefit generation, the entity that became more revenues in value added was Romi on average 51% of the realized revenue. The Companies generally distributed more value added to personal than to capital.

  12. The costs of quality –-potential growth source for the entity performance

    Directory of Open Access Journals (Sweden)

    Saveta Tudorache

    2007-12-01

    Full Text Available For the last 15 years, an increased number of entities have learned that the quality of the products must be designed prior their manufacture and that it is expensive, but not impossible, to control the product quality after the product has exited the manufacture line. Sellers must take into account the powerful competition, the alternative products and services, as well as their prices. It can be noticed that in the same period in several countries, for instance in Japan, the quality of the products has been improved concomitantly with the decrease of their prices. To cope with the domestic and external markets, economic entities from our country must manufacture qualitative goods at competitive prices. However, quality is not something that the economic entity brings in during a certain stage of the manufacture process or something that is automatically produced. In this respect, the USA have suggested the implementation of an operational mechanism where all the economic functions act together to assure the quality of the company.s products and services, under the name: Total Quality Management- organizational environment which allows the calculation of reliable quality pointers needed by managers to fulfill the manufacture goals regarding high quality products and services at reasonable prices.

  13. Biomedical indexing and retrieval system based on language modeling approach

    Directory of Open Access Journals (Sweden)

    Jihen Majdoubi

    2012-06-01

    Full Text Available In the medical field, scientific articles represent a very important source of knowledge for researchers of this domain. But due to the large volume of scientific articles published on the web, an efficient detection and use of this knowledge is quite a difficult task. In this paper, we propose our contribution for conceptual indexing of medical articles by using the MeSH (Medical Subject Headings thesaurus. With this in mind, we propose a tool for indexing medical articles called BIOINSY (BIOmedical Indexing SYstem which uses a language model for selecting the best representative descriptors for each document. The proposed indexing approach was evaluated by intensive experiments. These experiments were conducted on document test collections of real world clinical extracted from scientific collections, namely PUBMED and CLEF. The results generated by these experiments demonstrate the effectiveness of our indexing approach.

  14. [A little known entity: aggressive fibromatosis].

    Science.gov (United States)

    Marqúes Gubern, A; Pérez Payarols, J; Sánchez de Toledo, J; Martínez Ibáñez, V; Moraga, F; de Torres Ramírez, I M

    1991-01-01

    Aggressive fibromatosis is an unfrequent and little known entity, which in spite of being a histologically benign tumoration with scarce mitosis and without metastasis at distance, frequently presents with a high degree of local malignancy that can cause serious functional and aesthetical disturbance for the patient and even lead to death if infiltration of vital organs is presented, above all in cases of abdominal or maxillo-facial mass localization. The authors present their experience with 17 cases of aggressive fibromatosis observed in our centre: four of abdominal localization, six in extremities, five in the maxillo-facial mass, one in the torax and one in the lumbo-sacral region. Histological diagnosis, either by puncture or biopsy, is complemented by studies of extension of the tumour based on ecography and TAC. All cases were treated according to the classical criteria of ample resection of the lesion, always when practicable, except in one infant case and in the torax, in which only a biopsy was effected. Of the 15 cases resected, nine cases had local relapses, six of which remained free of disease with a second operation, another two required a third operation and the remaining case needed five interventions. In six children chemotherapy was applied with vincristina, cyclophosphamide and adriamicina. A follow up was carried out in 14 patients, one of which died and the remaining 13 are free of disease. In spite of the fact that progestagene receptors were not evidenced in two of our cases, one presented complete remission of the tumor after treatment with medroxyprogesterone. In this case the coincidence of Gardner's syndrome arises in the family history.(ABSTRACT TRUNCATED AT 250 WORDS) PMID:2043434

  15. An unsupervised text mining method for relation extraction from biomedical literature.

    Directory of Open Access Journals (Sweden)

    Changqin Quan

    Full Text Available The wealth of interaction information provided in biomedical articles motivated the implementation of text mining approaches to automatically extract biomedical relations. This paper presents an unsupervised method based on pattern clustering and sentence parsing to deal with biomedical relation extraction. Pattern clustering algorithm is based on Polynomial Kernel method, which identifies interaction words from unlabeled data; these interaction words are then used in relation extraction between entity pairs. Dependency parsing and phrase structure parsing are combined for relation extraction. Based on the semi-supervised KNN algorithm, we extend the proposed unsupervised approach to a semi-supervised approach by combining pattern clustering, dependency parsing and phrase structure parsing rules. We evaluated the approaches on two different tasks: (1 Protein-protein interactions extraction, and (2 Gene-suicide association extraction. The evaluation of task (1 on the benchmark dataset (AImed corpus showed that our proposed unsupervised approach outperformed three supervised methods. The three supervised methods are rule based, SVM based, and Kernel based separately. The proposed semi-supervised approach is superior to the existing semi-supervised methods. The evaluation on gene-suicide association extraction on a smaller dataset from Genetic Association Database and a larger dataset from publicly available PubMed showed that the proposed unsupervised and semi-supervised methods achieved much higher F-scores than co-occurrence based method.

  16. Manpower development for the biomedical industry space.

    Science.gov (United States)

    Goh, James C H

    2013-01-01

    The Biomedical Sciences (BMS) Cluster is one of four key pillars of the Singapore economy. The Singapore Government has injected research funding for basic and translational research to attract companies to carry out their commercial R&D activities. To further intensify the R&D efforts, the National Research Foundation (NRF) was set up to coordinate the research activities of different agencies within the larger national framework and to fund strategic R&D initiatives. In recent years, funding agencies began to focus on support of translational and clinical research, particularly those with potential for commercialization. Translational research is beginning to have traction, in particular research funding for the development of innovation medical devices. Therefore, the Biomedical Sciences sector is projected to grow which means that there is a need to invest in human capital development to achieve sustainable growth. In support of this, education and training programs to strengthen the manpower capabilities for the Biomedical Sciences industry have been developed. In recent years, undergraduate and graduate degree courses in biomedical engineering/bioengineering have been developing at a rapid rate. The goal is to train students with skills to understand complex issues of biomedicine and to develop and implement of advanced technological applications to these problems. There are a variety of career opportunities open to graduates in biomedical engineering, however regardless of the type of career choices, students must not only focus on achieving good grades. They have to develop their marketability to employers through internships, overseas exchange programs, and involvement in leadership-type activities. Furthermore, curriculum has to be developed with biomedical innovation in mind and ensure relevance to the industry. The objective of this paper is to present the NUS Bioengineering undergraduate program in relation to manpower development for the biomedical

  17. Checking the identity of entities by machine algorithms: the next step to the Hungarian National Namespace

    Directory of Open Access Journals (Sweden)

    Zsolt Bánki

    2016-07-01

    Full Text Available The redundancy of entities coming from different sources caused problems during the building of the personal name authorities for the Petőfi Museum of Literature. It was a top priority to cleanse and unite classificatory records which have different data content but pertain to the same person without losing any data. As a first step in 2013, we found identities in approximately 80,000 name records so we merged the data content of these records. In the second phase a much more complicated algorithm had to be applied to show these identities. We cleansed the database by uniting approximately 36,000 records. The workflow for automatic detection of authority data tries to follow human intelligence. The database scripts normalize and examine about 20 kinds of data elements according to information about dates, localities, occupation and name variations. The result of creating pairs from the database authority records, as potential redundant elements, was a graph, which was condensed to a tree, by human efforts of the curators of the museum. With this, the limit of technological identification was reached. For further data cleansing human intelligence that can be assisted by computerized regular monitoring is needed, based upon the developed algorithm. As a result, the service containing about 620,000 authority name records will be an indispensable foundation to the establishment of the National Name Authorities. This article shows the work process of unification.

  18. Color Naming Experiment in Mongolian Language

    Directory of Open Access Journals (Sweden)

    Nandin-Erdene Osorjamaa

    2015-11-01

    Full Text Available There are numerous researches on color terms and names in many languages. In Mongolian language there are few doctoral theses on color naming. Cross cultural studies of color naming have demonstrated Semantic relevance in French and Mongolian color name Gerlee Sh. (2000; Comparisons of color naming across English and Mongolian Uranchimeg B. (2004; Semantic comparison between Russian and Mongolian idioms Enhdelger O. (1996; across symbolism Dulam S. (2007 and few others. Also a few articles on color naming by some Mongolian scholars are Tsevel, Ya. (1947, Baldan, L. (1979, Bazarragchaa, M. (1997 and others. Color naming studies are not sufficiently studied in Modern Mongolian. Our research is considered to be the first intended research on color naming in Modern Mongolian, because it is one part of Ph.D dissertation on color naming. There are two color naming categories in Mongolian, basic color terms and non- basic color terms. There are seven basic color terms in Mongolian. This paper aims to consider how Mongolian color names are derived from basic colors by using psycholinguistics associative experiment. It maintains the students and researchers to acquire the specific understanding of the differences and similarities of color naming in Mongolian and  English languages from the psycho-linguistic aspect.Keywords: modern Mongolian, basic color terms, non-basic color terms, associative experiment, signal word, response word, color naming 

  19. Evolution of popularity in given names

    Science.gov (United States)

    Lee, Mi Jin; Jo, Woo Seong; Yi, Il Gu; Baek, Seung Ki; Kim, Beom Jun

    2016-02-01

    An individual's identity in a human society is specified by his or her name. Differently from family names, usually inherited from fathers, a given name for a child is often chosen at the parents' disposal. However, their decision cannot be made in a vacuum but affected by social conventions and trends. Furthermore, such social pressure changes in time, as new names gain popularity while some other names are gradually forgotten. In this paper, we investigate how popularity of given names has evolved over the last century by using datasets collected in Korea, the province of Quebec in Canada, and the United States. In each of these countries, the average popularity of given names exhibits typical patterns of rise and fall with a time scale of about one generation. We also observe that notable changes of diversity in given names signal major social changes.

  20. Evolution of popularity in given names

    CERN Document Server

    Lee, Mi Jin; Yi, Il Gu; Baek, Seung Ki; Kim, Beom Jun

    2015-01-01

    An individual's identity in a human society is specified by his or her name. Differently from family names, usually inherited from fathers, a given name for a child is often chosen at the parents' disposal. However, their decision cannot be made in a vacuum but affected by social conventions and trends. Furthermore, such social pressure changes in time, as new names gain popularity while some other names are gradually forgotten. In this paper, we investigate how popularity of given names has evolved over the last century by using datasets collected in Korea, the province of Quebec in Canada, and the United States. In each of these countries, the average popularity of given names exhibits typical patterns of rise and fall with a time scale of about one generation. We also observe that notable changes of diversity in given names signal major social changes.

  1. Robert Walters named vice president for research

    OpenAIRE

    Trulove, Susan

    2007-01-01

    Robert Walters, interim associate vice president of research at Virginia Tech, has been named vice president for research effective immediately for a three-year period, announced Mark McNamee, university provost and vice president for academic affairs.

  2. Naming game with learning errors in communications

    OpenAIRE

    Lou, Yang; Chen, Guanrong

    2014-01-01

    Naming game simulates the process of naming an objective by a population of agents organized in a certain communication network topology. By pair-wise iterative interactions, the population reaches a consensus state asymptotically. In this paper, we study naming game with communication errors during pair-wise conversations, where errors are represented by error rates in a uniform probability distribution. First, a model of naming game with learning errors in communications (NGLE) is proposed....

  3. INVocD: Identifier Name Vocabulary Dataset

    OpenAIRE

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

    2013-01-01

    NVocD is a dataset of the identifier name declarations and vocabulary found in 60 FLOSS Java projects where the source code structure is recorded and the identifier name vocabulary is made directly available, offering advantages for identifier name research over conventional source code models. The dataset has been used to support a range of research projects from identifier name analysis to concept location, and provides many opportunities to researchers.

  4. 27 CFR 24.112 - Name of proprietor and trade names.

    Science.gov (United States)

    2010-04-01

    ... TRADE BUREAU, DEPARTMENT OF THE TREASURY LIQUORS WINE Establishment and Operations Application § 24.112... proprietor's name or the operating trade name, if different than the proprietor's name, and any bottling or packing trade names. However, if a bottling or packing trade name is listed on a basic permit issued...

  5. Color Naming Universals: The Case of Berinmo

    Science.gov (United States)

    Kay, Paul; Regier, Terry

    2007-01-01

    Proponents of a self-identified "relativist" view of cross-language color naming have confounded two questions: (1) Is color naming largely subject to local linguistic convention? and (2) Are cross-language color naming differences reflected in comparable differences in color cognition by their speakers? The "relativist" position holds that the…

  6. WEB BASED TRANSLATION OF CHINESE ORGANIZATION NAME

    Institute of Scientific and Technical Information of China (English)

    Yang Muyun; Liu Daxin; Zhao Tiejun; Qi Haoliang; Lin Kaiming

    2009-01-01

    A web-based translation method for Chinese organization name is proposed. After analyzing the structure of Chinese organization name, the methods of bilingual query formulation and maximum entropy based translation re-ranking are suggested to retrieve the English translation from the web via public search engine. The experiments on Chinese university names demonstrate the validness of this approach.

  7. Family name distributions: Master equation approach

    OpenAIRE

    Baek, Seung Ki; Kiet, Hoang Anh Tuan; Kim, Beom Jun

    2008-01-01

    Although cumulative family name distributions in many countries exhibit power-law forms, there also exist counterexamples. The origin of different family name distributions across countries is discussed analytically in the framework of a population dynamics model. Combined with empirical observations made, it is suggested that those differences in distributions are closely related with the rate of appearance of new family names.

  8. Language Planning and Personal Naming in Lithuania

    Science.gov (United States)

    Ramoniene, Meilute

    2007-01-01

    This paper deals with the issues of language planning and naming in Lithuania since the restoration of independence in 1990. The aim of the paper is to analyse the challenges of corpus planning with the focus on the use and standardisation of personal names. The paper first presents the historical context of the formation of names in Lithuania and…

  9. On Sociolinguistic Theoretical Basis of Brand Name

    Institute of Scientific and Technical Information of China (English)

    曹海洋; 司宇婷

    2015-01-01

    Brand names are the offspring of highly development of market economics, and play a crucial role in modern society. This paper discusses the soci-olinguistic theoretical basis of brand name. Attention should be paid to the cultural factors of brand naming, including customs and manners, religious beliefs, ethics, regional culture and so on.

  10. On Strong Memes in Brand Names

    Institute of Scientific and Technical Information of China (English)

    王琳

    2014-01-01

    Based on the memetics and through a large number of examples, this paper expounds several effective methods to cre-ate strong brand name memes. It’s hoped that this paper will offer brand name designers some useful advice on how to create suc-cessful brand name memes.

  11. 27 CFR 19.165 - Trade names.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Trade names. 19.165 Section 19.165 Alcohol, Tobacco Products and Firearms ALCOHOL AND TOBACCO TAX AND TRADE BUREAU, DEPARTMENT... Trade names. (a) Operating permits. Where a trade name is to be used in connection with the...

  12. [Gastric signet ring cell adenocarcinoma: A distinct entity].

    Science.gov (United States)

    Tabouret, Tessa; Dhooge, Marion; Rouquette, Alexandre; Brezault, Catherine; Beuvon, Frédéric; Chaussade, Stanislas; Coriat, Romain

    2014-04-01

    Gastric signet ring cell carcinoma (GSRC) is a distinct entity. Their incidence is increasing. The pathologist plays a central role in the identification of this entity. Diagnosis is based on an adenocarcinoma containing a majority of signet ring cells (above 50 %). The prognosis of GSRC is the same as gastric adenocarcinoma while GSRC appeared more aggressive. Signet ring cells present a low sensitivity to chemotherapy. This review aimed to discuss the histological, the prognostic and the therapeutic aspect of this entity. PMID:24440764

  13. IDENTIFYING AND IMPLEMENTATION OF THE FINANCING SOURCES OF TOURIST ENTITIES

    Directory of Open Access Journals (Sweden)

    Gabriela DAVID

    2015-12-01

    Full Text Available Located at the intersection of the two spheres (tourism markets and financial ones, the tourism entity in Romania is interested in finding the formula to assure optimum financing by attracting financial resources in the field, on the one hand and on the other hand it is interested in meeting the high demand for profit from tourism and economic sphere. The objective determinant of Romanian tourism entity is to maximize the value by carrying out a profitable activity. The touristic entity must obtain profit to generate sufficient funds to distribute cash dividends to shareholders, while paying creditors at a favorable interest on borrowed funds.

  14. CONSIDERATION REGARDING CURRENT ASSETS IN THE CONSTRUCTION ENTITIES

    Directory of Open Access Journals (Sweden)

    Laura Adriana COJOCARU (ALIONESCU

    2014-06-01

    Full Text Available Accounting for current assets mainly aims to obtain useful information on the management of their best in order to make management decisions. Counting efficiency of these assets, their importance, provides improved performance of the entity. In this paper we want to study the degree of implementation of policies and accounting treatments on the current assets in the specific construction economic entities, the problems of implementation and thus better addressing their theoretical and procedural to improve the information provided by financial statements. Due to the importance of proper conduct of business owned entities, accounting current assets should result in optimal and efficient control of current assets.

  15. Concrete Security for Entity Recognition: The Jane Doe Protocol

    DEFF Research Database (Denmark)

    Lucks, Stefan; Zenner, Erik; Weimerskirch, Andre; Westhoff, Dirk

    Entity recognition does not ask whether the message is from some entity X, just whether a message is from the same entity as a previous message. This turns turns out to be very useful for low-end devices. The current paper proposes a new protocol – the “Jane Doe Protocol” –, and provides a formal...... proof of its concrete security. The protocol neither employs asymmetric cryptography, nor a trusted third party, nor any key pre-distribution. It is suitable for light-weight cryptographic devices such as sensor network motes and RFID tags....

  16. Controlled mutual quantum entity authentication using entanglement swapping

    Science.gov (United States)

    Min-Sung, Kang; Chang-Ho, Hong; Jino, Heo; Jong-In, Lim; Hyung-Jin, Yang

    2015-09-01

    In this paper, we suggest a controlled mutual quantum entity authentication protocol by which two users mutually certify each other on a quantum network using a sequence of Greenberger-Horne-Zeilinger (GHZ)-like states. Unlike existing unidirectional quantum entity authentication, our protocol enables mutual quantum entity authentication utilizing entanglement swapping; moreover, it allows the managing trusted center (TC) or trusted third party (TTP) to effectively control the certification of two users using the nature of the GHZ-like state. We will also analyze the security of the protocol and quantum channel. Project supported by the Research Foundation of Korea University.

  17. Radiation protection in medical and biomedical research

    International Nuclear Information System (INIS)

    The human exposure to ionizing radiation in the context of medical and biomedical research raises specific ethical challenges whose resolution approaches should be based on scientific, legal and procedural matters. Joint Resolution MINSAP CITMA-Regulation 'Basic Standards of Radiation Safety' of 30 November 2001 (hereafter NBS) provides for the first time in Cuba legislation specifically designed to protect patients and healthy people who participate in research programs medical and biomedical and exposed to radiation. The objective of this paper is to demonstrate the need to develop specific requirements for radiation protection in medical and biomedical research, as well as to identify all the institutions involved in this in order to establish the necessary cooperation to ensure the protection of persons participating in the investigation

  18. Design and analysis of biomedical studies

    DEFF Research Database (Denmark)

    Hansen, Merete Kjær

    been allocated this field. It is utterly important to utilize these ressources responsibly and efficiently by constantly striving to ensure high-quality biomedical studies. This involves the use of a sound statistical methodology regarding both the design and analysis of biomedical studies. The focus...... for the statistical power of studies with a hierarchical structure to guide biomedical researchers designing future studies of this type. Upon model fitting it is important to examine if the model assumptions are met to avoid that spurious conclusions are drawn. While the range of diagnostic methods is extensive...... for models assuming a normal response it is generally more limited for non-normal models. An R package providing diagnostic tools suitable for examining the validity of binomial regression models have been developed. The binom Tools package is publicly available at the CRAN repository....

  19. Term identification in the biomedical literature.

    Science.gov (United States)

    Krauthammer, Michael; Nenadic, Goran

    2004-12-01

    Sophisticated information technologies are needed for effective data acquisition and integration from a growing body of the biomedical literature. Successful term identification is key to getting access to the stored literature information, as it is the terms (and their relationships) that convey knowledge across scientific articles. Due to the complexities of a dynamically changing biomedical terminology, term identification has been recognized as the current bottleneck in text mining, and--as a consequence--has become an important research topic both in natural language processing and biomedical communities. This article overviews state-of-the-art approaches in term identification. The process of identifying terms is analysed through three steps: term recognition, term classification, and term mapping. For each step, main approaches and general trends, along with the major problems, are discussed. By assessing previous work in context of the overall term identification process, the review also tries to delineate needs for future work in the field. PMID:15542023

  20. NASA Biomedical Informatics Capabilities and Needs

    Science.gov (United States)

    Johnson-Throop, Kathy A.

    2009-01-01

    To improve on-orbit clinical capabilities by developing and providing operational support for intelligent, robust, reliable, and secure, enterprise-wide and comprehensive health care and biomedical informatics systems with increasing levels of autonomy, for use on Earth, low Earth orbit & exploration class missions. Biomedical Informatics is an emerging discipline that has been defined as the study, invention, and implementation of structures and algorithms to improve communication, understanding and management of medical information. The end objective of biomedical informatics is the coalescing of data, knowledge, and the tools necessary to apply that data and knowledge in the decision-making process, at the time and place that a decision needs to be made.