Active learning for ontological event extraction incorporating named entity recognition and unknown word handling.

PubMed

Han, Xu; Kim, Jung-jae; Kwoh, Chee Keong

2016-01-01

Biomedical text mining may target various kinds of valuable information embedded in the literature, but a critical obstacle to the extension of the mining targets is the cost of manual construction of labeled data, which are required for state-of-the-art supervised learning systems. Active learning is to choose the most informative documents for the supervised learning in order to reduce the amount of required manual annotations. Previous works of active learning, however, focused on the tasks of entity recognition and protein-protein interactions, but not on event extraction tasks for multiple event types. They also did not consider the evidence of event participants, which might be a clue for the presence of events in unlabeled documents. Moreover, the confidence scores of events produced by event extraction systems are not reliable for ranking documents in terms of informativity for supervised learning. We here propose a novel committee-based active learning method that supports multi-event extraction tasks and employs a new statistical method for informativity estimation instead of using the confidence scores from event extraction systems. Our method is based on a committee of two systems as follows: We first employ an event extraction system to filter potential false negatives among unlabeled documents, from which the system does not extract any event. We then develop a statistical method to rank the potential false negatives of unlabeled documents 1) by using a language model that measures the probabilities of the expression of multiple events in documents and 2) by using a named entity recognition system that locates the named entities that can be event arguments (e.g. proteins). The proposed method further deals with unknown words in test data by using word similarity measures. We also apply our active learning method for the task of named entity recognition. We evaluate the proposed method against the BioNLP Shared Tasks datasets, and show that our method

Clinical Named Entity Recognition Using Deep Learning Models.

PubMed

Wu, Yonghui; Jiang, Min; Xu, Jun; Zhi, Degui; Xu, Hua

2017-01-01

Clinical Named Entity Recognition (NER) is a critical natural language processing (NLP) task to extract important concepts (named entities) from clinical narratives. Researchers have extensively investigated machine learning models for clinical NER. Recently, there have been increasing efforts to apply deep learning models to improve the performance of current clinical NER systems. This study examined two popular deep learning architectures, the Convolutional Neural Network (CNN) and the Recurrent Neural Network (RNN), to extract concepts from clinical texts. We compared the two deep neural network architectures with three baseline Conditional Random Fields (CRFs) models and two state-of-the-art clinical NER systems using the i2b2 2010 clinical concept extraction corpus. The evaluation results showed that the RNN model trained with the word embeddings achieved a new state-of-the- art performance (a strict F1 score of 85.94%) for the defined clinical NER task, outperforming the best-reported system that used both manually defined and unsupervised learning features. This study demonstrates the advantage of using deep neural network architectures for clinical concept extraction, including distributed feature representation, automatic feature learning, and long-term dependencies capture. This is one of the first studies to compare the two widely used deep learning models and demonstrate the superior performance of the RNN model for clinical NER.

Clinical Named Entity Recognition Using Deep Learning Models

PubMed Central

Wu, Yonghui; Jiang, Min; Xu, Jun; Zhi, Degui; Xu, Hua

2017-01-01

Clinical Named Entity Recognition (NER) is a critical natural language processing (NLP) task to extract important concepts (named entities) from clinical narratives. Researchers have extensively investigated machine learning models for clinical NER. Recently, there have been increasing efforts to apply deep learning models to improve the performance of current clinical NER systems. This study examined two popular deep learning architectures, the Convolutional Neural Network (CNN) and the Recurrent Neural Network (RNN), to extract concepts from clinical texts. We compared the two deep neural network architectures with three baseline Conditional Random Fields (CRFs) models and two state-of-the-art clinical NER systems using the i2b2 2010 clinical concept extraction corpus. The evaluation results showed that the RNN model trained with the word embeddings achieved a new state-of-the- art performance (a strict F1 score of 85.94%) for the defined clinical NER task, outperforming the best-reported system that used both manually defined and unsupervised learning features. This study demonstrates the advantage of using deep neural network architectures for clinical concept extraction, including distributed feature representation, automatic feature learning, and long-term dependencies capture. This is one of the first studies to compare the two widely used deep learning models and demonstrate the superior performance of the RNN model for clinical NER. PMID:29854252

Deep learning with word embeddings improves biomedical named entity recognition

PubMed Central

Habibi, Maryam; Weber, Leon; Neves, Mariana; Wiegandt, David Luis; Leser, Ulf

2017-01-01

Abstract Motivation: Text mining has become an important tool for biomedical research. The most fundamental text-mining task is the recognition of biomedical named entities (NER), such as genes, chemicals and diseases. Current NER methods rely on pre-defined features which try to capture the specific surface properties of entity types, properties of the typical local context, background knowledge, and linguistic information. State-of-the-art tools are entity-specific, as dictionaries and empirically optimal feature sets differ between entity types, which makes their development costly. Furthermore, features are often optimized for a specific gold standard corpus, which makes extrapolation of quality measures difficult. Results: We show that a completely generic method based on deep learning and statistical word embeddings [called long short-term memory network-conditional random field (LSTM-CRF)] outperforms state-of-the-art entity-specific NER tools, and often by a large margin. To this end, we compared the performance of LSTM-CRF on 33 data sets covering five different entity classes with that of best-of-class NER tools and an entity-agnostic CRF implementation. On average, F1-score of LSTM-CRF is 5% above that of the baselines, mostly due to a sharp increase in recall. Availability and implementation: The source code for LSTM-CRF is available at https://github.com/glample/tagger and the links to the corpora are available at https://corposaurus.github.io/corpora/. Contact: habibima@informatik.hu-berlin.de PMID:28881963

Segregation of anterior temporal regions critical for retrieving names of unique and nonunique entities reflects underlying long-range connectivity

PubMed Central

Mehta, Sonya; Inoue, Kayo; Rudrauf, David; Damasio, Hanna; Tranel, Daniel; Grabowski, Thomas

2015-01-01

Lesion-deficit studies support the hypothesis that the left anterior temporal lobe (ATL) plays a critical role in retrieving names of concrete entities. They further suggest that different regions of the left ATL process different conceptual categories. Here we test the specificity of these relationships and whether the anatomical segregation is related to the underlying organization of white matter connections. We reanalyzed data from a previous lesion study of naming and recognition across five categories of concrete entities. In voxelwise logistic regressions of lesion-deficit associations, we formally incorporated measures of disconnection of long-range association fiber tracts (FTs) and covaried for recognition and non-category specific naming deficits. We also performed fiber tractwise analyses to assess whether damage to specific FTs was preferentially associated with category-selective naming deficits. Damage to the basolateral ATL was associated with naming deficits for both unique (famous faces) and non-unique entities, whereas the damage to the temporal pole was associated with naming deficits for unique entities only. This segregation pattern remained after accounting for comorbid recognition deficits or naming deficits in other categories. The tractwise analyses showed that damage to the uncinate fasciculus was associated with naming impairments for unique entities, while damage to the inferior longitudinal fasciculus was associated with naming impairments for non-unique entities. Covarying for FT transection in voxelwise analyses rendered the cortical association for unique entities more focal. These results are consistent with the partial segregation of brain system support for name retrieval of unique and non-unique entities at both the level of cortical components and underlying white matter fiber bundles. Our study reconciles theoretic accounts of the functional organization of the left ATL by revealing both category-related processing and

Deep learning with word embeddings improves biomedical named entity recognition.

PubMed

Habibi, Maryam; Weber, Leon; Neves, Mariana; Wiegandt, David Luis; Leser, Ulf

2017-07-15

Text mining has become an important tool for biomedical research. The most fundamental text-mining task is the recognition of biomedical named entities (NER), such as genes, chemicals and diseases. Current NER methods rely on pre-defined features which try to capture the specific surface properties of entity types, properties of the typical local context, background knowledge, and linguistic information. State-of-the-art tools are entity-specific, as dictionaries and empirically optimal feature sets differ between entity types, which makes their development costly. Furthermore, features are often optimized for a specific gold standard corpus, which makes extrapolation of quality measures difficult. We show that a completely generic method based on deep learning and statistical word embeddings [called long short-term memory network-conditional random field (LSTM-CRF)] outperforms state-of-the-art entity-specific NER tools, and often by a large margin. To this end, we compared the performance of LSTM-CRF on 33 data sets covering five different entity classes with that of best-of-class NER tools and an entity-agnostic CRF implementation. On average, F1-score of LSTM-CRF is 5% above that of the baselines, mostly due to a sharp increase in recall. The source code for LSTM-CRF is available at https://github.com/glample/tagger and the links to the corpora are available at https://corposaurus.github.io/corpora/ . habibima@informatik.hu-berlin.de. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

Segregation of anterior temporal regions critical for retrieving names of unique and non-unique entities reflects underlying long-range connectivity.

PubMed

Mehta, Sonya; Inoue, Kayo; Rudrauf, David; Damasio, Hanna; Tranel, Daniel; Grabowski, Thomas

2016-02-01

Lesion-deficit studies support the hypothesis that the left anterior temporal lobe (ATL) plays a critical role in retrieving names of concrete entities. They further suggest that different regions of the left ATL process different conceptual categories. Here we test the specificity of these relationships and whether the anatomical segregation is related to the underlying organization of white matter connections. We reanalyzed data from a previous lesion study of naming and recognition across five categories of concrete entities. In voxelwise logistic regressions of lesion-deficit associations, we formally incorporated measures of disconnection of long-range association fiber tracts (FTs) and covaried for recognition and non-category-specific naming deficits. We also performed fiber tractwise analyses to assess whether damage to specific FTs was preferentially associated with category-selective naming deficits. Damage to the basolateral ATL was associated with naming deficits for both unique (famous faces) and non-unique entities, whereas the damage to the temporal pole was associated with naming deficits for unique entities only. This segregation pattern remained after accounting for comorbid recognition deficits or naming deficits in other categories. The tractwise analyses showed that damage to the uncinate fasciculus (UNC) was associated with naming impairments for unique entities, while damage to the inferior longitudinal fasciculus (ILF) was associated with naming impairments for non-unique entities. Covarying for FT transection in voxelwise analyses rendered the cortical association for unique entities more focal. These results are consistent with the partial segregation of brain system support for name retrieval of unique and non-unique entities at both the level of cortical components and underlying white matter fiber bundles. Our study reconciles theoretic accounts of the functional organization of the left ATL by revealing both category-related processing

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

PubMed

Tsai, Richard Tzong-Han; Sung, Cheng-Lung; Dai, Hong-Jie; Hung, Hsieh-Chuan; Sung, Ting-Yi; Hsu, Wen-Lian

2006-12-18

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. To develop our ML-based Bio-NER system, we employ conditional

Naming unique entities in the semantic variant of primary progressive aphasia and Alzheimer's disease: Towards a better understanding of the semantic impairment.

PubMed

Montembeault, M; Brambati, S M; Joubert, S; Boukadi, M; Chapleau, M; Laforce, R Jr; Wilson, M A; Macoir, J; Rouleau, I

2017-01-27

While the semantic variant of primary progressive aphasia (svPPA) is characterized by a predominant semantic memory impairment, episodic memory impairments are the clinical hallmark of Alzheimer's disease (AD). However, AD patients also present with semantic deficits, which are more severe for semantically unique entities (e.g. a famous person) than for common concepts (e.g. a beaver). Previous studies in these patient populations have largely focused on famous-person naming. Therefore, we aimed to evaluate if these impairments also extend to other semantically unique entities such as famous places and famous logos. In this study, 13 AD patients, 9 svPPA patients, and 12 cognitively unimpaired elderly subjects (CTRL) were tested with a picture-naming test of non-unique entities (Boston Naming Test) and three experimental tests of semantically unique entities assessing naming of famous persons, places, and logos. Both clinical groups were overall more impaired at naming semantically unique entities than non-unique entities. Naming impairments in AD and svPPA extended to the other types of semantically unique entities, since a CTRL>AD>svPPA pattern was found on the performance of all naming tests. Naming famous places and famous persons appeared to be most impaired in svPPA, and both specific and general semantic knowledge for these entities were affected in these patients. Although AD patients were most significantly impaired on famous-person naming, only their specific semantic knowledge was impaired, while general knowledge was preserved. Post-hoc neuroimaging analyses also showed that famous-person naming impairments in AD correlated with atrophy in the temporo-parietal junction, a region functionally associated with lexical access. In line with previous studies, svPPA patients' impairment in both naming and semantic knowledge suggest a more profound semantic impairment, while naming impairments in AD may arise to a greater extent from impaired lexical access

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

PubMed

Jimeno, Antonio; Jimenez-Ruiz, Ernesto; Lee, Vivian; Gaudan, Sylvain; Berlanga, Rafael; Rebholz-Schuhmann, Dietrich

2008-04-11

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

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

PubMed

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.

Network analysis of named entity co-occurrences in written texts

NASA Astrophysics Data System (ADS)

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.

Transfer learning for biomedical named entity recognition with neural networks.

PubMed

Giorgi, John M; Bader, Gary D

2018-06-01

The explosive increase of biomedical literature has made information extraction an increasingly important tool for biomedical research. A fundamental task is the recognition of biomedical named entities in text (BNER) such as genes/proteins, diseases, and species. Recently, a domain-independent method based on deep learning and statistical word embeddings, called long short-term memory network-conditional random field (LSTM-CRF), has been shown to outperform state-of-the-art entity-specific BNER tools. However, this method is dependent on gold-standard corpora (GSCs) consisting of hand-labeled entities, which tend to be small but highly reliable. An alternative to GSCs are silver-standard corpora (SSCs), which are generated by harmonizing the annotations made by several automatic annotation systems. SSCs typically contain more noise than GSCs but have the advantage of containing many more training examples. Ideally, these corpora could be combined to achieve the benefits of both, which is an opportunity for transfer learning. In this work, we analyze to what extent transfer learning improves upon state-of-the-art results for BNER. We demonstrate that transferring a deep neural network (DNN) trained on a large, noisy SSC to a smaller, but more reliable GSC significantly improves upon state-of-the-art results for BNER. Compared to a state-of-the-art baseline evaluated on 23 GSCs covering four different entity classes, transfer learning results in an average reduction in error of approximately 11%. We found transfer learning to be especially beneficial for target data sets with a small number of labels (approximately 6000 or less). Source code for the LSTM-CRF is available athttps://github.com/Franck-Dernoncourt/NeuroNER/ and links to the corpora are available athttps://github.com/BaderLab/Transfer-Learning-BNER-Bioinformatics-2018/. john.giorgi@utoronto.ca. Supplementary data are available at Bioinformatics online.

Noun and knowledge retrieval for biological and non-biological entities following right occipitotemporal lesions.

PubMed

Bruffaerts, Rose; De Weer, An-Sofie; De Grauwe, Sophie; Thys, Miek; Dries, Eva; Thijs, Vincent; Sunaert, Stefan; Vandenbulcke, Mathieu; De Deyne, Simon; Storms, Gerrit; Vandenberghe, Rik

2014-09-01

We investigated the critical contribution of right ventral occipitotemporal cortex to knowledge of visual and functional-associative attributes of biological and non-biological entities and how this relates to category-specificity during confrontation naming. In a consecutive series of 7 patients with lesions confined to right ventral occipitotemporal cortex, we conducted an extensive assessment of oral generation of visual-sensory and functional-associative features in response to the names of biological and nonbiological entities. Subjects also performed a confrontation naming task for these categories. Our main novel finding related to a unique case with a small lesion confined to right medial fusiform gyrus who showed disproportionate naming impairment for nonbiological versus biological entities, specifically for tools. Generation of visual and functional-associative features was preserved for biological and non-biological entities. In two other cases, who had a relatively small posterior lesion restricted to primary visual and posterior fusiform cortex, retrieval of visual attributes was disproportionately impaired compared to functional-associative attributes, in particular for biological entities. However, these cases did not show a category-specific naming deficit. Two final cases with the largest lesions showed a classical dissociation between biological versus nonbiological entities during naming, with normal feature generation performance. This is the first lesion-based evidence of a critical contribution of the right medial fusiform cortex to tool naming. Second, dissociations along the dimension of attribute type during feature generation do not co-occur with category-specificity during naming in the current patient sample. Copyright © 2014 Elsevier Ltd. All rights reserved.

TaggerOne: joint named entity recognition and normalization with semi-Markov Models

PubMed Central

Leaman, Robert; Lu, Zhiyong

2016-01-01

Motivation: Text mining is increasingly used to manage the accelerating pace of the biomedical literature. Many text mining applications depend on accurate named entity recognition (NER) and normalization (grounding). While high performing machine learning methods trainable for many entity types exist for NER, normalization methods are usually specialized to a single entity type. NER and normalization systems are also typically used in a serial pipeline, causing cascading errors and limiting the ability of the NER system to directly exploit the lexical information provided by the normalization. Methods: We propose the first machine learning model for joint NER and normalization during both training and prediction. The model is trainable for arbitrary entity types and consists of a semi-Markov structured linear classifier, with a rich feature approach for NER and supervised semantic indexing for normalization. We also introduce TaggerOne, a Java implementation of our model as a general toolkit for joint NER and normalization. TaggerOne is not specific to any entity type, requiring only annotated training data and a corresponding lexicon, and has been optimized for high throughput. Results: We validated TaggerOne with multiple gold-standard corpora containing both mention- and concept-level annotations. Benchmarking results show that TaggerOne achieves high performance on diseases (NCBI Disease corpus, NER f-score: 0.829, normalization f-score: 0.807) and chemicals (BioCreative 5 CDR corpus, NER f-score: 0.914, normalization f-score 0.895). These results compare favorably to the previous state of the art, notwithstanding the greater flexibility of the model. We conclude that jointly modeling NER and normalization greatly improves performance. Availability and Implementation: The TaggerOne source code and an online demonstration are available at: http://www.ncbi.nlm.nih.gov/bionlp/taggerone Contact: zhiyong.lu@nih.gov Supplementary information: Supplementary data are

Disambiguating the species of biomedical named entities using natural language parsers

PubMed Central

Wang, Xinglong; Tsujii, Jun'ichi; Ananiadou, Sophia

2010-01-01

Motivation: Text mining technologies have been shown to reduce the laborious work involved in organizing the vast amount of information hidden in the literature. One challenge in text mining is linking ambiguous word forms to unambiguous biological concepts. This article reports on a comprehensive study on resolving the ambiguity in mentions of biomedical named entities with respect to model organisms and presents an array of approaches, with focus on methods utilizing natural language parsers. Results: We build a corpus for organism disambiguation where every occurrence of protein/gene entity is manually tagged with a species ID, and evaluate a number of methods on it. Promising results are obtained by training a machine learning model on syntactic parse trees, which is then used to decide whether an entity belongs to the model organism denoted by a neighbouring species-indicating word (e.g. yeast). The parser-based approaches are also compared with a supervised classification method and results indicate that the former are a more favorable choice when domain portability is of concern. The best overall performance is obtained by combining the strengths of syntactic features and supervised classification. Availability: The corpus and demo are available at http://www.nactem.ac.uk/deca_details/start.cgi, and the software is freely available as U-Compare components (Kano et al., 2009): NaCTeM Species Word Detector and NaCTeM Species Disambiguator. U-Compare is available at http://-compare.org/ Contact: xinglong.wang@manchester.ac.uk PMID:20053840

An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition.

PubMed

Luo, Ling; Yang, Zhihao; Yang, Pei; Zhang, Yin; Wang, Lei; Lin, Hongfei; Wang, Jian

2018-04-15

In biomedical research, chemical is an important class of entities, and chemical named entity recognition (NER) is an important task in the field of biomedical information extraction. However, most popular chemical NER methods are based on traditional machine learning and their performances are heavily dependent on the feature engineering. Moreover, these methods are sentence-level ones which have the tagging inconsistency problem. In this paper, we propose a neural network approach, i.e. attention-based bidirectional Long Short-Term Memory with a conditional random field layer (Att-BiLSTM-CRF), to document-level chemical NER. The approach leverages document-level global information obtained by attention mechanism to enforce tagging consistency across multiple instances of the same token in a document. It achieves better performances with little feature engineering than other state-of-the-art methods on the BioCreative IV chemical compound and drug name recognition (CHEMDNER) corpus and the BioCreative V chemical-disease relation (CDR) task corpus (the F-scores of 91.14 and 92.57%, respectively). Data and code are available at https://github.com/lingluodlut/Att-ChemdNER. yangzh@dlut.edu.cn or wangleibihami@gmail.com. Supplementary data are available at Bioinformatics online.

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

PubMed

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

2015-01-01

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 entity recognition model and to leverage system performance. The proposed method includes Natural Language Processing (NLP) tasks for text preprocessing, learning word representation features from a large amount of text data for feature extraction, and conditional random fields for token classification. Other than the free text in the domain, the proposed method does not rely on any lexicon nor any dictionary in order to keep the system applicable to other NER tasks in bio-text data. We extended BANNER, a biomedical NER system, with the proposed method. This yields an integrated system that can be applied to chemical and drug NER or biomedical NER. We call our branch of the BANNER system BANNER-CHEMDNER, which is scalable over millions of documents, processing about 530 documents per minute, is configurable via XML, and can be plugged into other systems by using the BANNER Unstructured Information Management Architecture (UIMA) interface. BANNER-CHEMDNER achieved an 85.68% and an 86.47% F-measure on the testing sets of CHEMDNER Chemical Entity Mention (CEM) and Chemical Document Indexing (CDI) subtasks, respectively, and achieved an 87.04% F-measure on the official testing set of the BioCreative II gene mention task, showing remarkable performance in both chemical and biomedical NER. BANNER-CHEMDNER system is available at: https://bitbucket.org/tsendeemts/banner-chemdner.

TaggerOne: joint named entity recognition and normalization with semi-Markov Models.

PubMed

Leaman, Robert; Lu, Zhiyong

2016-09-15

Text mining is increasingly used to manage the accelerating pace of the biomedical literature. Many text mining applications depend on accurate named entity recognition (NER) and normalization (grounding). While high performing machine learning methods trainable for many entity types exist for NER, normalization methods are usually specialized to a single entity type. NER and normalization systems are also typically used in a serial pipeline, causing cascading errors and limiting the ability of the NER system to directly exploit the lexical information provided by the normalization. We propose the first machine learning model for joint NER and normalization during both training and prediction. The model is trainable for arbitrary entity types and consists of a semi-Markov structured linear classifier, with a rich feature approach for NER and supervised semantic indexing for normalization. We also introduce TaggerOne, a Java implementation of our model as a general toolkit for joint NER and normalization. TaggerOne is not specific to any entity type, requiring only annotated training data and a corresponding lexicon, and has been optimized for high throughput. We validated TaggerOne with multiple gold-standard corpora containing both mention- and concept-level annotations. Benchmarking results show that TaggerOne achieves high performance on diseases (NCBI Disease corpus, NER f-score: 0.829, normalization f-score: 0.807) and chemicals (BioCreative 5 CDR corpus, NER f-score: 0.914, normalization f-score 0.895). These results compare favorably to the previous state of the art, notwithstanding the greater flexibility of the model. We conclude that jointly modeling NER and normalization greatly improves performance. The TaggerOne source code and an online demonstration are available at: http://www.ncbi.nlm.nih.gov/bionlp/taggerone zhiyong.lu@nih.gov Supplementary data are available at Bioinformatics online. Published by Oxford University Press 2016. This work is written

Identification of related gene/protein names based on an HMM of name variations.

PubMed

Yeganova, L; Smith, L; Wilbur, W J

2004-04-01

Gene and protein names follow few, if any, true naming conventions and are subject to great variation in different occurrences of the same name. This gives rise to two important problems in natural language processing. First, can one locate the names of genes or proteins in free text, and second, can one determine when two names denote the same gene or protein? The first of these problems is a special case of the problem of named entity recognition, while the second is a special case of the problem of automatic term recognition (ATR). We study the second problem, that of gene or protein name variation. Here we describe a system which, given a query gene or protein name, identifies related gene or protein names in a large list. The system is based on a dynamic programming algorithm for sequence alignment in which the mutation matrix is allowed to vary under the control of a fully trainable hidden Markov model.

Boosting drug named entity recognition using an aggregate classifier.

PubMed

Korkontzelos, Ioannis; Piliouras, Dimitrios; Dowsey, Andrew W; Ananiadou, Sophia

2015-10-01

Drug named entity recognition (NER) is a critical step for complex biomedical NLP tasks such as the extraction of pharmacogenomic, pharmacodynamic and pharmacokinetic parameters. Large quantities of high quality training data are almost always a prerequisite for employing supervised machine-learning techniques to achieve high classification performance. However, the human labour needed to produce and maintain such resources is a significant limitation. In this study, we improve the performance of drug NER without relying exclusively on manual annotations. We perform drug NER using either a small gold-standard corpus (120 abstracts) or no corpus at all. In our approach, we develop a voting system to combine a number of heterogeneous models, based on dictionary knowledge, gold-standard corpora and silver annotations, to enhance performance. To improve recall, we employed genetic programming to evolve 11 regular-expression patterns that capture common drug suffixes and used them as an extra means for recognition. Our approach uses a dictionary of drug names, i.e. DrugBank, a small manually annotated corpus, i.e. the pharmacokinetic corpus, and a part of the UKPMC database, as raw biomedical text. Gold-standard and silver annotated data are used to train maximum entropy and multinomial logistic regression classifiers. Aggregating drug NER methods, based on gold-standard annotations, dictionary knowledge and patterns, improved the performance on models trained on gold-standard annotations, only, achieving a maximum F-score of 95%. In addition, combining models trained on silver annotations, dictionary knowledge and patterns are shown to achieve comparable performance to models trained exclusively on gold-standard data. The main reason appears to be the morphological similarities shared among drug names. We conclude that gold-standard data are not a hard requirement for drug NER. Combining heterogeneous models build on dictionary knowledge can achieve similar or

A System for Identifying Named Entities in Biomedical Text: how Results From two Evaluations Reflect on Both the System and the Evaluations

PubMed Central

Dingare, Shipra; Nissim, Malvina; Finkel, Jenny; Grover, Claire

2005-01-01

We present a maximum entropy-based system for identifying named entities (NEs) in biomedical abstracts and present its performance in the only two biomedical named entity recognition (NER) comparative evaluations that have been held to date, namely BioCreative and Coling BioNLP. Our system obtained an exact match F-score of 83.2% in the BioCreative evaluation and 70.1% in the BioNLP evaluation. We discuss our system in detail, including its rich use of local features, attention to correct boundary identification, innovative use of external knowledge resources, including parsing and web searches, and rapid adaptation to new NE sets. We also discuss in depth problems with data annotation in the evaluations which caused the final performance to be lower than optimal. PMID:18629295

A rule-based named-entity recognition method for knowledge extraction of evidence-based dietary recommendations

PubMed Central

2017-01-01

Evidence-based dietary information represented as unstructured text is a crucial information that needs to be accessed in order to help dietitians follow the new knowledge arrives daily with newly published scientific reports. Different named-entity recognition (NER) methods have been introduced previously to extract useful information from the biomedical literature. They are focused on, for example extracting gene mentions, proteins mentions, relationships between genes and proteins, chemical concepts and relationships between drugs and diseases. In this paper, we present a novel NER method, called drNER, for knowledge extraction of evidence-based dietary information. To the best of our knowledge this is the first attempt at extracting dietary concepts. DrNER is a rule-based NER that consists of two phases. The first one involves the detection and determination of the entities mention, and the second one involves the selection and extraction of the entities. We evaluate the method by using text corpora from heterogeneous sources, including text from several scientifically validated web sites and text from scientific publications. Evaluation of the method showed that drNER gives good results and can be used for knowledge extraction of evidence-based dietary recommendations. PMID:28644863

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

PubMed

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. Copyright © 2015 Elsevier Inc. All rights reserved.

Melorheostosis: a rare entity: a case report.

PubMed

Kherfani, Abdelhakim; Mahjoub, Hachem

2014-01-01

Melorheostosis is a rare entity belonging to the group of sclerotic bone dysplasias. Described for the first time in 1922 by Leri, it remains imperfectly known as clinical presentations are highly variable, and the etiological diagnosis is not fully elucidated. We report a case of polyostoticmelorheostosis for which radiological investigations were complete, in order to study this disease.

76 FR 28503 - Identification of Three Entities as Government of Libya Entities Pursuant to Executive Order 13566

Federal Register 2010, 2011, 2012, 2013, 2014

2011-05-17

... DEPARTMENT OF THE TREASURY Office of Foreign Assets Control Identification of Three Entities as Government of Libya Entities Pursuant to Executive Order 13566 AGENCY: Department of the Treasury. ACTION... names of three entities identified on May 5, 2011 as persons whose property and interests in property...

17 CFR 229.1107 - (Item 1107) Issuing entities.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 17 Commodity and Securities Exchanges 2 2011-04-01 2011-04-01 false (Item 1107) Issuing entities....1107 (Item 1107) Issuing entities. Provide the following information about the issuing entity: (a) State the issuing entity's name and describe the issuing entity's form of organization, including the...

17 CFR 229.1107 - (Item 1107) Issuing entities.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 17 Commodity and Securities Exchanges 2 2010-04-01 2010-04-01 false (Item 1107) Issuing entities....1107 (Item 1107) Issuing entities. Provide the following information about the issuing entity: (a) State the issuing entity's name and describe the issuing entity's form of organization, including the...

Moving Hands, Moving Entities

ERIC Educational Resources Information Center

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

2009-01-01

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

Melorheostosis: a rare entity: a case report

PubMed Central

Kherfani, Abdelhakim; Mahjoub, Hachem

2014-01-01

Melorheostosis is a rare entity belonging to the group of sclerotic bone dysplasias. Described for the first time in 1922 by Leri, it remains imperfectly known as clinical presentations are highly variable, and the etiological diagnosis is not fully elucidated. We report a case of polyostoticmelorheostosis for which radiological investigations were complete, in order to study this disease. PMID:25489356

A New Data Representation Based on Training Data Characteristics to Extract Drug Name Entity in Medical Text

PubMed Central

Basaruddin, T.

2016-01-01

One essential task in information extraction from the medical corpus is drug name recognition. Compared with text sources come from other domains, the medical text mining poses more challenges, for example, more unstructured text, the fast growing of new terms addition, a wide range of name variation for the same drug, the lack of labeled dataset sources and external knowledge, and the multiple token representations for a single drug name. Although many approaches have been proposed to overwhelm the task, some problems remained with poor F-score performance (less than 0.75). This paper presents a new treatment in data representation techniques to overcome some of those challenges. We propose three data representation techniques based on the characteristics of word distribution and word similarities as a result of word embedding training. The first technique is evaluated with the standard NN model, that is, MLP. The second technique involves two deep network classifiers, that is, DBN and SAE. The third technique represents the sentence as a sequence that is evaluated with a recurrent NN model, that is, LSTM. In extracting the drug name entities, the third technique gives the best F-score performance compared to the state of the art, with its average F-score being 0.8645. PMID:27843447

Moving beyond the Name: Defining Corporate Entities to Support Provenance-Based Access

ERIC Educational Resources Information Center

Light, Michelle

2007-01-01

The second edition of the "International Standard Archival Authority Records for Corporate Bodies, Persons, and Families (ISAAR(CPF)2)" focuses on describing entities as they exist in reality, rather than on establishing authorized terms. This change allows authority records to include multiple authorized terms representing an entity as it changed…

77 FR 61658 - Designation of Two Entities Pursuant to Executive Orders

Federal Register 2010, 2011, 2012, 2013, 2014

2012-10-10

... DEPARTMENT OF THE TREASURY Office of Foreign Assets Control Designation of Two Entities Pursuant... Treasury Department's Office of Foreign Assets Control (``OFAC'') is publishing the names of two entities....'' DATES: The designation by the Director of OFAC of the two entities named in this notice, pursuant to...

LeadMine: a grammar and dictionary driven approach to entity recognition.

PubMed

Lowe, Daniel M; Sayle, Roger A

2015-01-01

Chemical entity recognition has traditionally been performed by machine learning approaches. Here we describe an approach using grammars and dictionaries. This approach has the advantage that the entities found can be directly related to a given grammar or dictionary, which allows the type of an entity to be known and, if an entity is misannotated, indicates which resource should be corrected. As recognition is driven by what is expected, if spelling errors occur, they can be corrected. Correcting such errors is highly useful when attempting to lookup an entity in a database or, in the case of chemical names, converting them to structures. Our system uses a mixture of expertly curated grammars and dictionaries, as well as dictionaries automatically derived from public resources. We show that the heuristics developed to filter our dictionary of trivial chemical names (from PubChem) yields a better performing dictionary than the previously published Jochem dictionary. Our final system performs post-processing steps to modify the boundaries of entities and to detect abbreviations. These steps are shown to significantly improve performance (2.6% and 4.0% F1-score respectively). Our complete system, with incremental post-BioCreative workshop improvements, achieves 89.9% precision and 85.4% recall (87.6% F1-score) on the CHEMDNER test set. Grammar and dictionary approaches can produce results at least as good as the current state of the art in machine learning approaches. While machine learning approaches are commonly thought of as "black box" systems, our approach directly links the output entities to the input dictionaries and grammars. Our approach also allows correction of errors in detected entities, which can assist with entity resolution.

Entity-based Stochastic Analysis of Search Results for Query Expansion and Results Re-Ranking

DTIC Science & Technology

2015-11-20

pages) and struc- tured data (e.g. Linked Open Data ( LOD ) [8]) coexist in var- ious forms. An important observation is that entity names (like names of...the top-L (e.g. L = 1, 000) results are retrieved. Then, Named Entity Recognition (NER) is applied in these results for identifying LOD entities. In...the next (optional) step, more semantic information about the identified entities is retrieved from the LOD (like properties and related entities). A

Encoding of Fundamental Chemical Entities of Organic Reactivity Interest using chemical ontology and XML.

PubMed

Durairaj, Vijayasarathi; Punnaivanam, Sankar

2015-09-01

Fundamental chemical entities are identified in the context of organic reactivity and classified as appropriate concept classes namely ElectronEntity, AtomEntity, AtomGroupEntity, FunctionalGroupEntity and MolecularEntity. The entity classes and their subclasses are organized into a chemical ontology named "ChemEnt" for the purpose of assertion, restriction and modification of properties through entity relations. Individual instances of entity classes are defined and encoded as a library of chemical entities in XML. The instances of entity classes are distinguished with a unique notation and identification values in order to map them with the ontology definitions. A model GUI named Entity Table is created to view graphical representations of all the entity instances. The detection of chemical entities in chemical structures is achieved through suitable algorithms. The possibility of asserting properties to the entities at different levels and the mechanism of property flow within the hierarchical entity levels is outlined. Copyright © 2015 Elsevier Inc. All rights reserved.

Context and Domain Knowledge Enhanced Entity Spotting in Informal Text

NASA Astrophysics Data System (ADS)

Gruhl, Daniel; Nagarajan, Meena; Pieper, Jan; Robson, Christine; Sheth, Amit

This paper explores the application of restricted relationship graphs (RDF) and statistical NLP techniques to improve named entity annotation in challenging Informal English domains. We validate our approach using on-line forums discussing popular music. Named entity annotation is particularly difficult in this domain because it is characterized by a large number of ambiguous entities, such as the Madonna album "Music" or Lilly Allen's pop hit "Smile".

LeadMine: a grammar and dictionary driven approach to entity recognition

PubMed Central

2015-01-01

Background Chemical entity recognition has traditionally been performed by machine learning approaches. Here we describe an approach using grammars and dictionaries. This approach has the advantage that the entities found can be directly related to a given grammar or dictionary, which allows the type of an entity to be known and, if an entity is misannotated, indicates which resource should be corrected. As recognition is driven by what is expected, if spelling errors occur, they can be corrected. Correcting such errors is highly useful when attempting to lookup an entity in a database or, in the case of chemical names, converting them to structures. Results Our system uses a mixture of expertly curated grammars and dictionaries, as well as dictionaries automatically derived from public resources. We show that the heuristics developed to filter our dictionary of trivial chemical names (from PubChem) yields a better performing dictionary than the previously published Jochem dictionary. Our final system performs post-processing steps to modify the boundaries of entities and to detect abbreviations. These steps are shown to significantly improve performance (2.6% and 4.0% F1-score respectively). Our complete system, with incremental post-BioCreative workshop improvements, achieves 89.9% precision and 85.4% recall (87.6% F1-score) on the CHEMDNER test set. Conclusions Grammar and dictionary approaches can produce results at least as good as the current state of the art in machine learning approaches. While machine learning approaches are commonly thought of as "black box" systems, our approach directly links the output entities to the input dictionaries and grammars. Our approach also allows correction of errors in detected entities, which can assist with entity resolution. PMID:25810776

Letter-case information and the identification of brand names.

PubMed

Perea, Manuel; Jiménez, María; Talero, Fernanda; López-Cañada, Soraya

2015-02-01

A central tenet of most current models of visual-word recognition is that lexical units are activated on the basis of case-invariant abstract letter representations. Here, we examined this assumption by using a unique type of words: brand names. The rationale of the experiments is that brand names are archetypically printed either in lowercase (e.g., adidas) or uppercase (e.g., IKEA). This allows us to present the brand names in their standard or non-standard case configuration (e.g., adidas, IKEA vs. ADIDAS, ikea, respectively). We conducted two experiments with a brand-decision task ('is it a brand name?'): a single-presentation experiment and a masked priming experiment. Results in the single-presentation experiment revealed faster identification times of brand names in their standard case configuration than in their non-standard case configuration (i.e., adidas faster than ADIDAS; IKEA faster than ikea). In the masked priming experiment, we found faster identification times of brand names when they were preceded by an identity prime that matched its standard case configuration than when it did not (i.e., faster response times to adidas-adidas than to ADIDAS-adidas). Taken together, the present findings strongly suggest that letter-case information forms part of a brand name's graphemic information, thus posing some limits to current models of visual-word recognition. © 2014 The British Psychological Society.

78 FR 38537 - Federal Acquisition Regulation; Federal Acquisition Circular 2005-68; Small Entity Compliance Guide

Federal Register 2010, 2011, 2012, 2013, 2014

2013-06-26

... Entity Compliance Guide. SUMMARY: This document is issued under the joint authority of DOD, GSA, and NASA... whose name appears in the table below. Please cite FAC 2005-68 and the FAR case number. For information... Listed in FAC 2005-68 Subject FAR Case Analyst *Expansion of Applicability of the Senior Executive...

Impact of translation on named-entity recognition in radiology texts

PubMed Central

Pedro, Vasco

2017-01-01

Abstract Radiology reports describe the results of radiography procedures and have the potential of being a useful source of information which can bring benefits to health care systems around the world. One way to automatically extract information from the reports is by using Text Mining tools. The problem is that these tools are mostly developed for English and reports are usually written in the native language of the radiologist, which is not necessarily English. This creates an obstacle to the sharing of Radiology information between different communities. This work explores the solution of translating the reports to English before applying the Text Mining tools, probing the question of what translation approach should be used. We created MRRAD (Multilingual Radiology Research Articles Dataset), a parallel corpus of Portuguese research articles related to Radiology and a number of alternative translations (human, automatic and semi-automatic) to English. This is a novel corpus which can be used to move forward the research on this topic. Using MRRAD we studied which kind of automatic or semi-automatic translation approach is more effective on the Named-entity recognition task of finding RadLex terms in the English version of the articles. Considering the terms extracted from human translations as our gold standard, we calculated how similar to this standard were the terms extracted using other translations. We found that a completely automatic translation approach using Google leads to F-scores (between 0.861 and 0.868, depending on the extraction approach) similar to the ones obtained through a more expensive semi-automatic translation approach using Unbabel (between 0.862 and 0.870). To better understand the results we also performed a qualitative analysis of the type of errors found in the automatic and semi-automatic translations. Database URL: https://github.com/lasigeBioTM/MRRAD PMID:29220455

78 FR 80381 - Federal Acquisition Regulation; Federal Acquisition Circular 2005-72; Small Entity Compliance Guide

Federal Register 2010, 2011, 2012, 2013, 2014

2013-12-31

...: Small Entity Compliance Guide. SUMMARY: This document is issued under the joint authority of DOD, GSA..., contact the analyst whose name appears in the table below. Please cite FAC 2005-72 and the FAR case number... 202- 501-4755. Rules Listed in FAC 2005-72 Item Subject FAR Case Analyst *I Service 2010-010 Loeb...

31 CFR 306.88 - Political entities and public corporations.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 2 2011-07-01 2011-07-01 false Political entities and public... entities and public corporations. Securities registered in the name of, or assigned to, a State, county, city, town, village, school district or other political entity, public body or corporation, may be...

31 CFR 306.88 - Political entities and public corporations.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 2 2010-07-01 2010-07-01 false Political entities and public... entities and public corporations. Securities registered in the name of, or assigned to, a State, county, city, town, village, school district or other political entity, public body or corporation, may be...

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

PubMed

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/. Copyright © 2013. Published by Elsevier Inc.

Disease named entity recognition from biomedical literature using a novel convolutional neural network.

PubMed

Zhao, Zhehuan; Yang, Zhihao; Luo, Ling; Wang, Lei; Zhang, Yin; Lin, Hongfei; Wang, Jian

2017-12-28

Automatic disease named entity recognition (DNER) is of utmost importance for development of more sophisticated BioNLP tools. However, most conventional CRF based DNER systems rely on well-designed features whose selection is labor intensive and time-consuming. Though most deep learning methods can solve NER problems with little feature engineering, they employ additional CRF layer to capture the correlation information between labels in neighborhoods which makes them much complicated. In this paper, we propose a novel multiple label convolutional neural network (MCNN) based disease NER approach. In this approach, instead of the CRF layer, a multiple label strategy (MLS) first introduced by us, is employed. First, the character-level embedding, word-level embedding and lexicon feature embedding are concatenated. Then several convolutional layers are stacked over the concatenated embedding. Finally, MLS strategy is applied to the output layer to capture the correlation information between neighboring labels. As shown by the experimental results, MCNN can achieve the state-of-the-art performance on both NCBI and CDR corpora. The proposed MCNN based disease NER method achieves the state-of-the-art performance with little feature engineering. And the experimental results show the MLS strategy's effectiveness of capturing the correlation information between labels in the neighborhood.

"New drug" designations for new therapeutic entities: new active substance, new chemical entity, new biological entity, new molecular entity.

PubMed

Branch, Sarah K; Agranat, Israel

2014-11-13

This Perspective addresses ambiguities in designations of "new drugs" intended as new therapeutic entities (NTEs). Designation of an NTE as a new drug is significant, as it may confer regulatory exclusivity, an important incentive for development of novel compounds. Such designations differ between jurisdictions according to their drug laws and drug regulations. Chemical, biological, and innovative drugs are addressed in turn. The terms new chemical entity (NCE), new molecular entity (NME), new active substance (NAS), and new biological entity (NBE) as applied in worldwide jurisdictions are clarified. Differences between them are explored through case studies showing why new drugs have different periods of exclusivity in different jurisdictions or none at all. Finally, this Perspective recommends that in future, for the purpose of new drug compilations, NME is used for a new chemical drug, NBE for a new biological drug, and the combined designation NTE should refer to either an NME or an NBE.

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

NASA Astrophysics Data System (ADS)

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.

Chemical Entity Recognition and Resolution to ChEBI

PubMed Central

Grego, Tiago; Pesquita, Catia; Bastos, Hugo P.; Couto, Francisco M.

2012-01-01

Chemical entities are ubiquitous through the biomedical literature and the development of text-mining systems that can efficiently identify those entities are required. Due to the lack of available corpora and data resources, the community has focused its efforts in the development of gene and protein named entity recognition systems, but with the release of ChEBI and the availability of an annotated corpus, this task can be addressed. We developed a machine-learning-based method for chemical entity recognition and a lexical-similarity-based method for chemical entity resolution and compared them with Whatizit, a popular-dictionary-based method. Our methods outperformed the dictionary-based method in all tasks, yielding an improvement in F-measure of 20% for the entity recognition task, 2–5% for the entity-resolution task, and 15% for combined entity recognition and resolution tasks. PMID:25937941

2 CFR 170.110 - Types of entities to which this part applies.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 2 Grants and Agreements 1 2014-01-01 2014-01-01 false Types of entities to which this part applies... or receive agency awards; or (2) Receive subawards under those awards. (b) Exceptions. (1) None of... her name). (2) None of the requirements regarding reporting names and total compensation of an entity...

2 CFR 170.110 - Types of entities to which this part applies.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 2 Grants and Agreements 1 2011-01-01 2011-01-01 false Types of entities to which this part applies... or receive agency awards; or (2) Receive subawards under those awards. (b) Exceptions. (1) None of... her name). (2) None of the requirements regarding reporting names and total compensation of an entity...

Warthin tumor: a curious entity--case reports and review of literature.

PubMed

Faur, Alexandra; Lazăr, Elena; Cornianu, Mărioara; Dema, Alis; Vidita, Camelia Gurban; Găluşcan, Atena

2009-01-01

Warthin tumor was first described in the American literature, by Aldred Warthin, in 1929, the pathologist who named this tumor papillary cystadenoma lymphomatosum, but since than it was also knew as adenolymphoma, cystadenolymphoma, and Warthin tumor. Because of its microscopically appearance and unknown origin, this tumor entity is still fascinating head and neck surgeons and pathologist. We evaluate the histopathological aspect of Warthin tumors using Hematoxylin-Eosin stain, and immunohistochemical and histological techniques. We reviewed the medical record of patients with salivary gland tumors diagnosed at County Hospital of Timisoara from 2002-2008. In six years, 22 cases with Warthin tumor were diagnosed and among them 17 men and five women, with average age 58.47. The analysis showed that 77.27% of Warthin tumors occurred in men, and the main histopathological aspect was with 50% epithelial component. The stromal component showed a prominent B-cell population by staining with CD20, and histological techniques for mucin were positive, and reticulin fibers were revealed while using Gordon-Sweets stain. The standard and the histological and immunohistochemical techniques highlighted the complex and variable microscopical appearance of Warthin tumor that the pathologist should consider when a diagnosis for this tumor is to be considered.

GRAM-CNN: a deep learning approach with local context for named entity recognition in biomedical text.

PubMed

Zhu, Qile; Li, Xiaolin; Conesa, Ana; Pereira, Cécile

2018-05-01

Best performing named entity recognition (NER) methods for biomedical literature are based on hand-crafted features or task-specific rules, which are costly to produce and difficult to generalize to other corpora. End-to-end neural networks achieve state-of-the-art performance without hand-crafted features and task-specific knowledge in non-biomedical NER tasks. However, in the biomedical domain, using the same architecture does not yield competitive performance compared with conventional machine learning models. We propose a novel end-to-end deep learning approach for biomedical NER tasks that leverages the local contexts based on n-gram character and word embeddings via Convolutional Neural Network (CNN). We call this approach GRAM-CNN. To automatically label a word, this method uses the local information around a word. Therefore, the GRAM-CNN method does not require any specific knowledge or feature engineering and can be theoretically applied to a wide range of existing NER problems. The GRAM-CNN approach was evaluated on three well-known biomedical datasets containing different BioNER entities. It obtained an F1-score of 87.26% on the Biocreative II dataset, 87.26% on the NCBI dataset and 72.57% on the JNLPBA dataset. Those results put GRAM-CNN in the lead of the biological NER methods. To the best of our knowledge, we are the first to apply CNN based structures to BioNER problems. The GRAM-CNN source code, datasets and pre-trained model are available online at: https://github.com/valdersoul/GRAM-CNN. andyli@ece.ufl.edu or aconesa@ufl.edu. Supplementary data are available at Bioinformatics online.

GRAM-CNN: a deep learning approach with local context for named entity recognition in biomedical text

PubMed Central

Zhu, Qile; Li, Xiaolin; Conesa, Ana; Pereira, Cécile

2018-01-01

Abstract Motivation Best performing named entity recognition (NER) methods for biomedical literature are based on hand-crafted features or task-specific rules, which are costly to produce and difficult to generalize to other corpora. End-to-end neural networks achieve state-of-the-art performance without hand-crafted features and task-specific knowledge in non-biomedical NER tasks. However, in the biomedical domain, using the same architecture does not yield competitive performance compared with conventional machine learning models. Results We propose a novel end-to-end deep learning approach for biomedical NER tasks that leverages the local contexts based on n-gram character and word embeddings via Convolutional Neural Network (CNN). We call this approach GRAM-CNN. To automatically label a word, this method uses the local information around a word. Therefore, the GRAM-CNN method does not require any specific knowledge or feature engineering and can be theoretically applied to a wide range of existing NER problems. The GRAM-CNN approach was evaluated on three well-known biomedical datasets containing different BioNER entities. It obtained an F1-score of 87.26% on the Biocreative II dataset, 87.26% on the NCBI dataset and 72.57% on the JNLPBA dataset. Those results put GRAM-CNN in the lead of the biological NER methods. To the best of our knowledge, we are the first to apply CNN based structures to BioNER problems. Availability and implementation The GRAM-CNN source code, datasets and pre-trained model are available online at: https://github.com/valdersoul/GRAM-CNN. Contact andyli@ece.ufl.edu or aconesa@ufl.edu Supplementary information Supplementary data are available at Bioinformatics online. PMID:29272325

Gastric Volvulus: A Rare Entity Case Report and Literature Review

PubMed Central

Akhtar, Aisha; Sheikh, Abdul Ahad E; Sheikh, Abu Baker; Perisetti, Abhilash

2018-01-01

Gastric volvulus is a rare entity defined as an abnormal rotation of the stomach around itself. It is a diagnosis of exclusion; the clinical index of suspicion is always low and is mostly diagnosed on imaging or on the surgery table. When it occurs, it is an emergency due to the risk of strangulation and consequent gangrene of the stomach. Mesentero-axial (MA) gastric volvuli constitute one-third of all cases. Here, we are present an interesting case of acute MA gastric volvulus diagnosed with imaging and treated subsequently. PMID:29755908

31 CFR 306.88 - Political entities and public corporations.

Code of Federal Regulations, 2013 CFR

2013-07-01

... corporations. 306.88 Section 306.88 Money and Finance: Treasury Regulations Relating to Money and Finance... entities and public corporations. Securities registered in the name of, or assigned to, a State, county, city, town, village, school district or other political entity, public body or corporation, may be...

31 CFR 306.88 - Political entities and public corporations.

Code of Federal Regulations, 2014 CFR

2014-07-01

... corporations. 306.88 Section 306.88 Money and Finance: Treasury Regulations Relating to Money and Finance... entities and public corporations. Securities registered in the name of, or assigned to, a State, county, city, town, village, school district or other political entity, public body or corporation, may be...

31 CFR 306.88 - Political entities and public corporations.

Code of Federal Regulations, 2012 CFR

2012-07-01

... corporations. 306.88 Section 306.88 Money and Finance: Treasury Regulations Relating to Money and Finance... entities and public corporations. Securities registered in the name of, or assigned to, a State, county, city, town, village, school district or other political entity, public body or corporation, may be...

Named Entity Recognition in a Hungarian NL Based QA System

NASA Astrophysics Data System (ADS)

Tikkl, Domonkos; Szidarovszky, P. Ferenc; Kardkovacs, Zsolt T.; Magyar, Gábor

In WoW project our purpose is to create a complex search interface with the following features: search in the deep web content of contracted partners' databases, processing Hungarian natural language (NL) questions and transforming them to SQL queries for database access, image search supported by a visual thesaurus that describes in a structural form the visual content of images (also in Hungarian). This paper primarily focuses on a particular problem of question processing task: the entity recognition. Before going into details we give a short overview of the project's aims.

76 FR 52384 - Designation of Additional Entities Pursuant to Executive Order 13405

Federal Register 2010, 2011, 2012, 2013, 2014

2011-08-22

... DEPARTMENT OF THE TREASURY Office of Foreign Assets Control Designation of Additional Entities... Assets Control (``OFAC'') is publishing the names of four newly-designated entities whose property and... the Director of OFAC of the four entities identified in this notice, pursuant to Executive [[Page...

A Novel Approach towards Medical Entity Recognition in Chinese Clinical Text

PubMed Central

Yu, Jian

2017-01-01

Medical entity recognition, a basic task in the language processing of clinical data, has been extensively studied in analyzing admission notes in alphabetic languages such as English. However, much less work has been done on nonstructural texts that are written in Chinese, or in the setting of differentiation of Chinese drug names between traditional Chinese medicine and Western medicine. Here, we propose a novel cascade-type Chinese medication entity recognition approach that aims at integrating the sentence category classifier from a support vector machine and the conditional random field-based medication entity recognition. We hypothesized that this approach could avoid the side effects of abundant negative samples and improve the performance of the named entity recognition from admission notes written in Chinese. Therefore, we applied this approach to a test set of 324 Chinese-written admission notes with manual annotation by medical experts. Our data demonstrated that this approach had a score of 94.2% in precision, 92.8% in recall, and 93.5% in F-measure for the recognition of traditional Chinese medicine drug names and 91.2% in precision, 92.6% in recall, and 91.7% F-measure for the recognition of Western medicine drug names. The differences in F-measure were significant compared with those in the baseline systems. PMID:29065612

Anatomical Entity Recognition with a Hierarchical Framework Augmented by External Resources

PubMed Central

Xu, Yan; Hua, Ji; Ni, Zhaoheng; Chen, Qinlang; Fan, Yubo; Ananiadou, Sophia; Chang, Eric I-Chao; Tsujii, Junichi

2014-01-01

References to anatomical entities in medical records consist not only of explicit references to anatomical locations, but also other diverse types of expressions, such as specific diseases, clinical tests, clinical treatments, which constitute implicit references to anatomical entities. In order to identify these implicit anatomical entities, we propose a hierarchical framework, in which two layers of named entity recognizers (NERs) work in a cooperative manner. Each of the NERs is implemented using the Conditional Random Fields (CRF) model, which use a range of external resources to generate features. We constructed a dictionary of anatomical entity expressions by exploiting four existing resources, i.e., UMLS, MeSH, RadLex and BodyPart3D, and supplemented information from two external knowledge bases, i.e., Wikipedia and WordNet, to improve inference of anatomical entities from implicit expressions. Experiments conducted on 300 discharge summaries showed a micro-averaged performance of 0.8509 Precision, 0.7796 Recall and 0.8137 F1 for explicit anatomical entity recognition, and 0.8695 Precision, 0.6893 Recall and 0.7690 F1 for implicit anatomical entity recognition. The use of the hierarchical framework, which combines the recognition of named entities of various types (diseases, clinical tests, treatments) with information embedded in external knowledge bases, resulted in a 5.08% increment in F1. The resources constructed for this research will be made publicly available. PMID:25343498

The left temporal pole is a heteromodal hub for retrieving proper names

PubMed Central

Waldron, Eric J.; Manzel, Kenneth; Tranel, Daniel

2015-01-01

The left temporal pole (LTP) has been posited to be a heteromodal hub for retrieving proper names for semantically unique entities. Previous investigations have demonstrated that LTP is important for retrieving names for famous faces and unique landmarks. However, whether such a relationship would hold for unique entities apprehended through stimulus modalities other than vision has not been well established, and such evidence is critical to adjudicate claims about the “heteromodal” nature of the LTP. Here, we tested the hypothesis that the LTP would be important for naming famous voices. Individuals with LTP lesions were asked to recognize and name famous persons speaking in audio clips. Relative to neurologically normal and brain damaged comparison participants, patients with LTP lesions were able to recognize famous persons from their voices normally, but were selectively impaired in naming famous persons from their voices. The current results extend previous research and provide further support for the notion that the LTP is a convergence region serving as a heteromodal hub for retrieving the names of semantically unique entities. PMID:24389260

77 FR 31806 - Changes to Implement Micro Entity Status for Paying Patent Fees

Federal Register 2010, 2011, 2012, 2013, 2014

2012-05-30

... legislative history of 35 U.S.C. 123 is clear that it is directed to a subset of small entities, namely... history do not, for example, contemplate a for-profit, large entity applicant becoming a ``micro entity... across government agencies and identified goals designed to promote innovation; (8) considered approaches...

Executive Headteachers: What's in a Name? Case Study Compendium

ERIC Educational Resources Information Center

Wespieser, Karen, Ed.

2016-01-01

This Case Study Compendium provides an overview of the 12 cases that were investigated as part of the study "Executive Headteachers: What's in a Name?'" (Lord et al., 2016). The case study overviews are based on in-depth analysis and research as described in the full report (ibid) and the Technical Appendix (Harland and Bernardinelli,…

Recognizing the Emotional Valence of Names: An ERP Study

ERIC Educational Resources Information Center

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…

[Nonspecific interstitial pneumonitis: a clinicopathologic entity, histologic pattern or unclassified group of heterogeneous interstitial pneumonitis?].

PubMed

Morais, António; Moura, M Conceição Souto; Cruz, M Rosa; Gomes, Isabel

2004-01-01

Nonspecific interstitial pneumonitis (NSIP) initially described by Katzenstein and Fiorelli in 1994, seems to be a distinct clinicopathologic entity among idiopathic interstitial pneumonitis (IIP). Besides different histologic features from other IIP, NSIP is characterized by a better long-term outcome, associated with a better steroids responsiveness than idiopathic pulmonar fibrosis (IPF), where usually were included. Thus, differentiating NSIP from other IIP, namely IPF is very significant, since it has important therapeutic and prognostic implications. NSIP encloses different pathologies, namely those with inflammatory predominance (cellular subtype) or fibrous predominance (fibrosing subtype). NSIP is reviewed and discussed by the authors, after two clinical cases description.

Dilemmas of Transfer Pricing Comparability Analysis in Manufacturing Entities. Polish-Czech Case Study

NASA Astrophysics Data System (ADS)

Sulik-Górecka, Aleksandra

2018-06-01

Modern manufacturing entities often operate in capital groups, and their role is sometimes limited to the function of cost centers. From the legal point of view, however, they are separate entities obliged to apply transfer pricing regulations. Meeting the requirements of the arm's length principle can be very difficult at this time, given the relationships and conflicts of interest in the capital group. Complexity increases in capital groups operating in different countries, due to differences in tax regulations. The main purpose of the paper is to demonstrate that the need to valuate the sale of finished goods to a manufacturing entity, which is a subject to a different tax jurisdiction, may lead to a problem of compliance with the arm's length principle. In addition, the paper proposes a methodology for comparability analysis that may be used by manufacturing entities to defend conditions of setting transfer pricing. The paper presents the different functional profiles of manufacturing entities and points out the difficulties that they may encounter when preparing the comparability analysis. It has also been noted that there are differences in transfer pricing regulations in different countries, for example by analyzing Polish and Czech regulations. The lack of uniform benchmarking legislation can cause inconsistencies in the selection of comparable data, resulting in differences in transfer pricing. The paper uses the method of legal regulation review and analysis of results of published studies concerning the scope of transfer pricing and comparability analysis. The paper also adopts a case study analysis.

Multimodal molecular analysis of astroblastoma enables reclassification of most cases into more specific molecular entities.

PubMed

Wood, Matthew D; Tihan, Tarik; Perry, Arie; Chacko, Geeta; Turner, Clinton; Pu, Cunfeng; Payne, Christopher; Yu, Alexander; Bannykh, Serguei I; Solomon, David A

2018-03-01

Astroblastoma is a rare and controversial glioma with variable clinical behavior. The diagnosis currently rests on histologic findings of a circumscribed glioma with astroblastomatous pseudorosettes and vascular hyalinization. Immunohistochemical studies have suggested different oncogenic drivers, such as BRAF p.V600E, but very few cases have been studied using genome-wide methodologies. Recent genomic profiling identified a subset of CNS embryonal tumors with astroblastoma-like morphology that harbored MN1 gene fusions, termed "CNS high-grade neuroepithelial tumors with MN1 alteration" (CNS-HGNET-MN1). To further characterize the genetic alterations that drive astroblastomas, we performed targeted next-generation sequencing (NGS) of 500 cancer-associated genes in a series of eight cases. We correlated these findings with break-apart fluorescence in situ hybridization (FISH) analysis of the MN1 locus and genome-wide DNA methylation profiling. Four cases showed MN1 alteration by FISH, including two pediatric cases that lacked other pathogenic alterations, and two adult cases that harbored other cancer-associated gene mutations or copy number alterations (eg, CDKN2A/B homozygous deletion, TP53, ATM and TERT promoter mutations). Three of these cases grouped with the CNS-HGNET-MN1 entity by methylation profiling. Two of four MN1 intact cases by FISH showed genetic features of either anaplastic pleomorphic xanthoastrocytoma (BRAF p.V600E mutation, CDKN2A/B homozygous deletion and TERT promoter mutation) or IDH-wildtype glioblastoma (trisomy 7, monosomy 10, CDK4 amplification and TP53, NRAS and TERT promoter mutations) and these cases had an aggressive clinical course. Two clinically indolent cases remained unclassifiable despite multimodal molecular analysis. We conclude that astroblastoma histology is not specific for any entity including CNS-HGNET-MN1, and that additional genetic characterization should be considered for astroblastomas, as a number of these tumors

Towards an Obesity-Cancer Knowledge Base: Biomedical Entity Identification and Relation Detection

PubMed Central

Lossio-Ventura, Juan Antonio; Hogan, William; Modave, François; Hicks, Amanda; Hanna, Josh; Guo, Yi; He, Zhe; Bian, Jiang

2017-01-01

Obesity is associated with increased risks of various types of cancer, as well as a wide range of other chronic diseases. On the other hand, access to health information activates patient participation, and improve their health outcomes. However, existing online information on obesity and its relationship to cancer is heterogeneous ranging from pre-clinical models and case studies to mere hypothesis-based scientific arguments. A formal knowledge representation (i.e., a semantic knowledge base) would help better organizing and delivering quality health information related to obesity and cancer that consumers need. Nevertheless, current ontologies describing obesity, cancer and related entities are not designed to guide automatic knowledge base construction from heterogeneous information sources. Thus, in this paper, we present methods for named-entity recognition (NER) to extract biomedical entities from scholarly articles and for detecting if two biomedical entities are related, with the long term goal of building a obesity-cancer knowledge base. We leverage both linguistic and statistical approaches in the NER task, which supersedes the state-of-the-art results. Further, based on statistical features extracted from the sentences, our method for relation detection obtains an accuracy of 99.3% and a f-measure of 0.993. PMID:28503356

CheNER: a tool for the identification of chemical entities and their classes in biomedical literature.

PubMed

Usié, Anabel; Cruz, Joaquim; Comas, Jorge; Solsona, Francesc; Alves, Rui

2015-01-01

Small chemical molecules regulate biological processes at the molecular level. Those molecules are often involved in causing or treating pathological states. Automatically identifying such molecules in biomedical text is difficult due to both, the diverse morphology of chemical names and the alternative types of nomenclature that are simultaneously used to describe them. To address these issues, the last BioCreAtIvE challenge proposed a CHEMDNER task, which is a Named Entity Recognition (NER) challenge that aims at labelling different types of chemical names in biomedical text. To address this challenge we tested various approaches to recognizing chemical entities in biomedical documents. These approaches range from linear Conditional Random Fields (CRFs) to a combination of CRFs with regular expression and dictionary matching, followed by a post-processing step to tag those chemical names in a corpus of Medline abstracts. We named our best performing systems CheNER. We evaluate the performance of the various approaches using the F-score statistics. Higher F-scores indicate better performance. The highest F-score we obtain in identifying unique chemical entities is 72.88%. The highest F-score we obtain in identifying all chemical entities is 73.07%. We also evaluate the F-Score of combining our system with ChemSpot, and find an increase from 72.88% to 73.83%. CheNER presents a valid alternative for automated annotation of chemical entities in biomedical documents. In addition, CheNER may be used to derive new features to train newer methods for tagging chemical entities. CheNER can be downloaded from http://metres.udl.cat and included in text annotation pipelines.

Detection of IUPAC and IUPAC-like chemical names.

PubMed

Klinger, Roman; Kolárik, Corinna; Fluck, Juliane; Hofmann-Apitius, Martin; Friedrich, Christoph M

2008-07-01

Chemical compounds like small signal molecules or other biological active chemical substances are an important entity class in life science publications and patents. Several representations and nomenclatures for chemicals like SMILES, InChI, IUPAC or trivial names exist. Only SMILES and InChI names allow a direct structure search, but in biomedical texts trivial names and Iupac like names are used more frequent. While trivial names can be found with a dictionary-based approach and in such a way mapped to their corresponding structures, it is not possible to enumerate all IUPAC names. In this work, we present a new machine learning approach based on conditional random fields (CRF) to find mentions of IUPAC and IUPAC-like names in scientific text as well as its evaluation and the conversion rate with available name-to-structure tools. We present an IUPAC name recognizer with an F(1) measure of 85.6% on a MEDLINE corpus. The evaluation of different CRF orders and offset conjunction orders demonstrates the importance of these parameters. An evaluation of hand-selected patent sections containing large enumerations and terms with mixed nomenclature shows a good performance on these cases (F(1) measure 81.5%). Remaining recognition problems are to detect correct borders of the typically long terms, especially when occurring in parentheses or enumerations. We demonstrate the scalability of our implementation by providing results from a full MEDLINE run. We plan to publish the corpora, annotation guideline as well as the conditional random field model as a UIMA component.

41 CFR 102-173.50 - What is the naming convention for States?

Code of Federal Regulations, 2014 CFR

2014-01-01

...-INTERNET GOV DOMAIN Registration § 102-173.50 What is the naming convention for States? (a) To register any second-level domain within dot-gov, State government entities must register the full State name or clearly indicate the State postal code within the name. Examples of acceptable names include virginia.gov...

41 CFR 102-173.50 - What is the naming convention for States?

Code of Federal Regulations, 2011 CFR

2011-01-01

...-INTERNET GOV DOMAIN Registration § 102-173.50 What is the naming convention for States? (a) To register any second-level domain within dot-gov, State government entities must register the full State name or clearly indicate the State postal code within the name. Examples of acceptable names include virginia.gov...

41 CFR 102-173.50 - What is the naming convention for States?

Code of Federal Regulations, 2010 CFR

2010-07-01

...-INTERNET GOV DOMAIN Registration § 102-173.50 What is the naming convention for States? (a) To register any second-level domain within dot-gov, State government entities must register the full State name or clearly indicate the State postal code within the name. Examples of acceptable names include virginia.gov...

41 CFR 102-173.50 - What is the naming convention for States?

Code of Federal Regulations, 2013 CFR

2013-07-01

...-INTERNET GOV DOMAIN Registration § 102-173.50 What is the naming convention for States? (a) To register any second-level domain within dot-gov, State government entities must register the full State name or clearly indicate the State postal code within the name. Examples of acceptable names include virginia.gov...

41 CFR 102-173.50 - What is the naming convention for States?

Code of Federal Regulations, 2012 CFR

2012-01-01

...-INTERNET GOV DOMAIN Registration § 102-173.50 What is the naming convention for States? (a) To register any second-level domain within dot-gov, State government entities must register the full State name or clearly indicate the State postal code within the name. Examples of acceptable names include virginia.gov...

Building a protein name dictionary from full text: a machine learning term extraction approach.

PubMed

Shi, Lei; Campagne, Fabien

2005-04-07

The majority of information in the biological literature resides in full text articles, instead of abstracts. Yet, abstracts remain the focus of many publicly available literature data mining tools. Most literature mining tools rely on pre-existing lexicons of biological names, often extracted from curated gene or protein databases. This is a limitation, because such databases have low coverage of the many name variants which are used to refer to biological entities in the literature. We present an approach to recognize named entities in full text. The approach collects high frequency terms in an article, and uses support vector machines (SVM) to identify biological entity names. It is also computationally efficient and robust to noise commonly found in full text material. We use the method to create a protein name dictionary from a set of 80,528 full text articles. Only 8.3% of the names in this dictionary match SwissProt description lines. We assess the quality of the dictionary by studying its protein name recognition performance in full text. This dictionary term lookup method compares favourably to other published methods, supporting the significance of our direct extraction approach. The method is strong in recognizing name variants not found in SwissProt.

Building a protein name dictionary from full text: a machine learning term extraction approach

PubMed Central

Shi, Lei; Campagne, Fabien

2005-01-01

Background The majority of information in the biological literature resides in full text articles, instead of abstracts. Yet, abstracts remain the focus of many publicly available literature data mining tools. Most literature mining tools rely on pre-existing lexicons of biological names, often extracted from curated gene or protein databases. This is a limitation, because such databases have low coverage of the many name variants which are used to refer to biological entities in the literature. Results We present an approach to recognize named entities in full text. The approach collects high frequency terms in an article, and uses support vector machines (SVM) to identify biological entity names. It is also computationally efficient and robust to noise commonly found in full text material. We use the method to create a protein name dictionary from a set of 80,528 full text articles. Only 8.3% of the names in this dictionary match SwissProt description lines. We assess the quality of the dictionary by studying its protein name recognition performance in full text. Conclusion This dictionary term lookup method compares favourably to other published methods, supporting the significance of our direct extraction approach. The method is strong in recognizing name variants not found in SwissProt. PMID:15817129

Acquired bilateral telangiectatic macules: a distinct clinical entity.

PubMed

Park, Ji-Hye; Lee, Dong Jun; Lee, Yoo-Jung; Jang, Yong Hyun; Kang, Hee Young; Kim, You Chan

2014-09-01

We evaluated 13 distinct patients with multiple telangiectatic pigmented macules confined mostly to the upper arms to determine if the clinical and histopathological features of these cases might represent a specific clinical entity. We retrospectively investigated the clinical, histopathologic, and immunohistochemical features of 13 patients with multiple telangiectatic pigmented macules on the upper arms who presented between January 2003 and December 2012. Epidermal pigmentation, melanogenic activity, melanocyte number, vascularity, epidermal thickness, and perivascular mast cell number of the specimens were evaluated. Clinically, the condition favored middle-aged men. On histopathologic examination, the lesional skin showed capillary proliferation and telangiectasia in the upper dermis. Histochemical and immunohistochemical analysis revealed basal hyperpigmentation and increased melanogenic activity in the lesional skin (P < .05). No significant difference in epidermal thickness or mast cell number was observed between the normal perilesional skin and the lesional skin. The clinical and histopathologic features of these lesions were relatively consistent in all patients. In addition, the features are quite distinct from other diseases. Based on clinical and histologic features, we suggest the name acquired bilateral telangiectatic macules for this new entity.

Classifying Web Pages by Using Knowledge Bases for Entity Retrieval

NASA Astrophysics Data System (ADS)

Kiritani, Yusuke; Ma, Qiang; Yoshikawa, Masatoshi

In this paper, we propose a novel method to classify Web pages by using knowledge bases for entity search, which is a kind of typical Web search for information related to a person, location or organization. First, we map a Web page to entities according to the similarities between the page and the entities. Various methods for computing such similarity are applied. For example, we can compute the similarity between a given page and a Wikipedia article describing a certain entity. The frequency of an entity appearing in the page is another factor used in computing the similarity. Second, we construct a directed acyclic graph, named PEC graph, based on the relations among Web pages, entities, and categories, by referring to YAGO, a knowledge base built on Wikipedia and WordNet. Finally, by analyzing the PEC graph, we classify Web pages into categories. The results of some preliminary experiments validate the methods proposed in this paper.

[Mucosal Schwann cells hamartoma: Review of a recently described entity].

PubMed

García-Molina, Francisco; Ruíz-Macia, José Antonio; Sola, Joaquin

Neural lesions of the colon may be masses (schwannomas and neurofibromas) or, more frequently, small polyps including perineuromas, ganglioneuromas and granular cell tumors. Some neural lesions are associated with congenital syndromes (neurofibromatosis-1, multiple endocrine neoplasia-2B). Recently, a new entity has been described named mucosal Schwann cell hamartoma, consisting of an intramucosal neural proliferation; to date, less than forty cases have been reported. We report a further case in a patient from whom a polyp was extirpated during colonoscopy screening. Histologically, the polyp showed a lamina propia that contained spindle-shaped cells of neural aspect which could only be identified after a histochemical and immunohistochemical study. Copyright © 2017 Sociedad Española de Anatomía Patológica. Publicado por Elsevier España, S.L.U. All rights reserved.

New York governor signs bill to track HIV cases by name.

PubMed

1998-07-24

Senate Bill 4422-B, a partner notification bill that uses name-based reporting to track HIV cases, was signed by New York Governor George Pataki on July 7, 1998. The new legislation requires physicians to report the names of all HIV-positive patients to the State Department of Health so that public officials can notify spouses, sexual partners, and needle-sharing partners of possible exposure. This information will become part of a State-wide case surveillance system. Patient advocacy and civil liberties groups did not support the bill, stating that it would erode the physician-patient relationship by breaching confidentiality. The new legislation does not apply to anonymous testing sites, although once individuals begin HIV-related medical treatment, their name will be sent to the State.

Evaluation and Cross-Comparison of Lexical Entities of Biological Interest (LexEBI)

PubMed Central

Rebholz-Schuhmann, Dietrich; Kim, Jee-Hyub; Yan, Ying; Dixit, Abhishek; Friteyre, Caroline; Hoehndorf, Robert; Backofen, Rolf; Lewin, Ian

2013-01-01

Motivation Biomedical entities, their identifiers and names, are essential in the representation of biomedical facts and knowledge. In the same way, the complete set of biomedical and chemical terms, i.e. the biomedical “term space” (the “Lexeome”), forms a key resource to achieve the full integration of the scientific literature with biomedical data resources: any identified named entity can immediately be normalized to the correct database entry. This goal does not only require that we are aware of all existing terms, but would also profit from knowing all their senses and their semantic interpretation (ambiguities, nestedness). Result This study compiles a resource for lexical terms of biomedical interest in a standard format (called “LexEBI”), determines the overall number of terms, their reuse in different resources and the nestedness of terms. LexEBI comprises references for protein and gene entries and their term variants and chemical entities amongst other terms. In addition, disease terms have been identified from Medline and PubmedCentral and added to LexEBI. Our analysis demonstrates that the baseforms of terms from the different semantic types show only little polysemous use. Nonetheless, the term variants of protein and gene names (PGNs) frequently contain species mentions, which should have been avoided according to protein annotation guidelines. Furthermore, the protein and gene entities as well as the chemical entities, both do comprise enzymes leading to hierarchical polysemy, and a large portion of PGNs make reference to a chemical entity. Altogether, according to our analysis based on the Medline distribution, 401,869 unique PGNs in the documents contain a reference to 25,022 chemical entities, 3,125 disease terms or 1,576 species mentions. Conclusion LexEBI delivers the complete biomedical and chemical Lexeome in a standardized representation (http://www.ebi.ac.uk/Rebholz-srv/LexEBI/). The resource provides the disease terms as open

Detection of IUPAC and IUPAC-like chemical names

PubMed Central

Klinger, Roman; Kolářik, Corinna; Fluck, Juliane; Hofmann-Apitius, Martin; Friedrich, Christoph M.

2008-01-01

Motivation: Chemical compounds like small signal molecules or other biological active chemical substances are an important entity class in life science publications and patents. Several representations and nomenclatures for chemicals like SMILES, InChI, IUPAC or trivial names exist. Only SMILES and InChI names allow a direct structure search, but in biomedical texts trivial names and Iupac like names are used more frequent. While trivial names can be found with a dictionary-based approach and in such a way mapped to their corresponding structures, it is not possible to enumerate all IUPAC names. In this work, we present a new machine learning approach based on conditional random fields (CRF) to find mentions of IUPAC and IUPAC-like names in scientific text as well as its evaluation and the conversion rate with available name-to-structure tools. Results: We present an IUPAC name recognizer with an F1 measure of 85.6% on a MEDLINE corpus. The evaluation of different CRF orders and offset conjunction orders demonstrates the importance of these parameters. An evaluation of hand-selected patent sections containing large enumerations and terms with mixed nomenclature shows a good performance on these cases (F1 measure 81.5%). Remaining recognition problems are to detect correct borders of the typically long terms, especially when occurring in parentheses or enumerations. We demonstrate the scalability of our implementation by providing results from a full MEDLINE run. Availability: We plan to publish the corpora, annotation guideline as well as the conditional random field model as a UIMA component. Contact: roman.klinger@scai.fraunhofer.de PMID:18586724

Developing a hybrid dictionary-based bio-entity recognition technique.

PubMed

Song, Min; Yu, Hwanjo; Han, Wook-Shin

2015-01-01

Bio-entity extraction is a pivotal component for information extraction from biomedical literature. The dictionary-based bio-entity extraction is the first generation of Named Entity Recognition (NER) techniques. This paper presents a hybrid dictionary-based bio-entity extraction technique. The approach expands the bio-entity dictionary by combining different data sources and improves the recall rate through the shortest path edit distance algorithm. In addition, the proposed technique adopts text mining techniques in the merging stage of similar entities such as Part of Speech (POS) expansion, stemming, and the exploitation of the contextual cues to further improve the performance. The experimental results show that the proposed technique achieves the best or at least equivalent performance among compared techniques, GENIA, MESH, UMLS, and combinations of these three resources in F-measure. The results imply that the performance of dictionary-based extraction techniques is largely influenced by information resources used to build the dictionary. In addition, the edit distance algorithm shows steady performance with three different dictionaries in precision whereas the context-only technique achieves a high-end performance with three difference dictionaries in recall.

Developing a hybrid dictionary-based bio-entity recognition technique

PubMed Central

2015-01-01

Background Bio-entity extraction is a pivotal component for information extraction from biomedical literature. The dictionary-based bio-entity extraction is the first generation of Named Entity Recognition (NER) techniques. Methods This paper presents a hybrid dictionary-based bio-entity extraction technique. The approach expands the bio-entity dictionary by combining different data sources and improves the recall rate through the shortest path edit distance algorithm. In addition, the proposed technique adopts text mining techniques in the merging stage of similar entities such as Part of Speech (POS) expansion, stemming, and the exploitation of the contextual cues to further improve the performance. Results The experimental results show that the proposed technique achieves the best or at least equivalent performance among compared techniques, GENIA, MESH, UMLS, and combinations of these three resources in F-measure. Conclusions The results imply that the performance of dictionary-based extraction techniques is largely influenced by information resources used to build the dictionary. In addition, the edit distance algorithm shows steady performance with three different dictionaries in precision whereas the context-only technique achieves a high-end performance with three difference dictionaries in recall. PMID:26043907

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

PubMed Central

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; Jim Zheng, W.

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 and article association. The core algorithm was implemented using a graphics processing unit-based MapReduce framework to handle big data and to improve performance. We conclude that Ontology Fingerprints can help disambiguate gene names mentioned in text and analyse the association between genes and articles. Database URL: http://www.ontologyfingerprint.org PMID:25858285

Face-Name Repetition Priming in Semantic Dementia: A Case Report

ERIC Educational Resources Information Center

Calabria, Marco; Miniussi, Carlo; Bisiacchi, Patricia S.; Zanetti, Orazio; Cotelli, Maria

2009-01-01

Repetition priming (RP) has been employed as a measure of implicit processing in patients suffering from a breakdown of semantic memory, as in the case of semantic dementia (SD), a subtype of frontotemporal lobar degeneration (FTLD). Here, we investigated face-name representation in a case of SD using a paradigm of within- and cross-domain…

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

PubMed

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; Jim Zheng, W

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 and article association. The core algorithm was implemented using a graphics processing unit-based MapReduce framework to handle big data and to improve performance. We conclude that Ontology Fingerprints can help disambiguate gene names mentioned in text and analyse the association between genes and articles. Database URL: http://www.ontologyfingerprint.org © The Author(s) 2015. Published by Oxford University Press.

2 CFR 170.110 - Types of entities to which this part applies.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 2 Grants and Agreements 1 2013-01-01 2013-01-01 false Types of entities to which this part applies...) Apply for or receive agency awards; or (2) Receive subawards under those awards. (b) Exceptions. (1... his or her name). (2) None of the requirements regarding reporting names and total compensation of an...

2 CFR 170.110 - Types of entities to which this part applies.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 2 Grants and Agreements 1 2012-01-01 2012-01-01 false Types of entities to which this part applies...) Apply for or receive agency awards; or (2) Receive subawards under those awards. (b) Exceptions. (1... his or her name). (2) None of the requirements regarding reporting names and total compensation of an...

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

Code of Federal Regulations, 2010 CFR

2010-01-01

... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Responses to demands served on non-FCA employees or entities. 602.24 Section 602.24 Banks and Banking FARM CREDIT ADMINISTRATION ADMINISTRATIVE... Not a Named Party § 602.24 Responses to demands served on non-FCA employees or entities. If you are...

Massive ovarian oedema: a misleading clinical entity.

PubMed

Machairiotis, Nikolaos; Stylianaki, Aikaterini; Kouroutou, Paraskevi; Sarli, Polixeni; Alexiou, Nikolaos Konstantinos; Efthymiou, Elias; Maras, Athanasios; Alexiou, Nikolaos Georgios; Nikolaou, Spyridon Evaggelos; Courcoutsakis, Nikolaos; Papakonstantinou, Eleni; Zarogoulidis, Paul; Barbetakis, Nikolaos; Paliouras, Dimitrios; Gogakos, Apostolos; Machairiotis, Christodoulos

2016-02-03

Massive ovarian oedema is a rare non-neoplastic clinicopathologic entity has a higher incidence in women during their second and third life decade. The oedema can be presented in one or both ovaries as a result of partial intermittent torsion of the ovarian pedicle that interferes to the venal and lymphatic drainage of the ovary. We present a clinical case of a 16 year old with massive ovarian oedema and we performed a review of the literature. The pathophysiology of this entity is very complex. We tried to perform a complete review of the literature and focus on the complexity of this entity as far as its pathophysiological backround is concerned and as far as its clinical presentation is concerned. In conclusion, massive ovarian oedema is a rare, multi disease mimicking clinical entity, with an acute or progressive clinical presentation. It has also to be a part of our differential diagnosis in cases of acute abdominal pain and we have to try to treat her conservatively, in order to preserve fertility.

31 CFR 598.408 - Alleged change in ownership or control of an entity designated as a specially designated...

Code of Federal Regulations, 2010 CFR

2010-07-01

... of capital; and contracts evidencing the sale of the entity to its new owners. (b) Any continuing... narcotics trafficker could lead to designation of the purchaser. Mere change in name of an entity will not...

When places change their names on maps. Cases study from the Arab world

NASA Astrophysics Data System (ADS)

Dhieb, Mohsen

2018-05-01

The transcription of geographical names on maps in one given language is a very complex process. Depending on the used language, toponyms are mostly deformed from their natural language. In the Arab world, this deformation is treated in various ways. In many cases, Arabic place names suffer a double distortion when first transcribed from Arabic or another original language into French or English, and second when taking the same way back. Through a review of examples from some Arab place names, a few cases are analyzed to reveal the mechanisms of such anomaly and a strategy is recommended to avoid it. Departing from Arabic atlases, we will realize three steps. First, we examine this anomaly through case studies taken from the English and French toponymic transcriptions. Second, the produced names area compared to those of other countries, considering the processes and mechanisms involved. Third, we propose a global strategy to overcome this anomaly in transcribing names in the Arab world by prioritizing produced transformations. The proposed strategy witnesses the concept of standardized "exendonyms" presented and discussed in a previous research for foreign languages such as French or English. When Arabic is used, the phonetic local transcription is recommended but should also fit transcription rules of the used language as much as possible. In doing so, transcripts should not shift or deviate so far from original name places and much ambiguity can be avoided. This strategy must obey standardized international rules and may repose on modern techniques or media.

Successful medical management of a case of Austrian syndrome-an uncommon entity in the modern antibiotic era: a case report.

PubMed

Rahim, Muhammad Abdur; Zaman, Shahana; Haque, Hasna Fahmima; Afroze, Samira Rahat; Uddin, Khwaja Nazim

2017-09-06

Austrian syndrome-the combination of meningitis, pneumonia and infective endocarditis due to Streptococcus pneumoniae infection, is a rare entity. In literature only a few hundreds of cases are reported but surprisingly we did not find any report on Austrian syndrome in or from Bangladesh. We report the case history of a middle aged Bangladeshi diabetic man, who had fever, cough, shortness of breath and altered mentation. He had tachycardia, bi-basal lung crepitations, new cardiac murmurs and meningism. Diagnostic work-up revealed Austrian syndrome. Because of the rarity of the condition, this case is reported. A case of pneumococcal pneumonia or meningitis should raise suspicion of concomitant endocarditis and Austrian syndrome, specially if there is heart failure, as early recognition and treatment may appear life-saving.

Geographic names of the Antarctic

USGS Publications Warehouse

,; ,; ,; ,; Alberts, Fred G.

1995-01-01

This gazetteer contains 12,710 names approved by the United States Board on Geographic Names and the Secretary of the Interior for features in Antarctica and the area extending northward to the Antarctic Convergence. Included in this geographic area, the Antarctic region, are the off-lying South Shetland Islands, the South Orkney Islands, the South Sandwich Islands, South Georgia, Bouvetøya, Heard Island, and the Balleny Islands. These names have been approved for use by U.S. Government agencies. Their use by the Antarctic specialist and the public is highly recommended for the sake of accuracy and uniformity. This publication, which supersedes previous Board gazetteers or lists for the area, contains names approved as recently as December 1994. The basic name coverage of this gazetteer corresponds to that of maps at the scale of 1:250,000 or larger for coastal Antarctica, the off-lying islands, and isolated mountains and ranges of the continent. Much of the interior of Antarctica is a featureless ice plateau. That area has been mapped at a smaller scale and is nearly devoid of toponyms. All of the names are for natural features, such as mountains, glaciers, peninsulas, capes, bays, islands, and subglacial entities. The names of scientific stations have not been listed alphabetically, but they may appear in the texts of some decisions. For the names of submarine features, reference should be made to the Gazetteer of Undersea Features, 4th edition, U.S. Board on Geographic Names, 1990.

Determining similarity of scientific entities in annotation datasets

PubMed Central

Palma, Guillermo; Vidal, Maria-Esther; Haag, Eric; Raschid, Louiqa; Thor, Andreas

2015-01-01

Linked Open Data initiatives have made available a diversity of scientific collections where scientists have annotated entities in the datasets with controlled vocabulary terms from ontologies. Annotations encode scientific knowledge, which is captured in annotation datasets. Determining relatedness between annotated entities becomes a building block for pattern mining, e.g. identifying drug–drug relationships may depend on the similarity of the targets that interact with each drug. A diversity of similarity measures has been proposed in the literature to compute relatedness between a pair of entities. Each measure exploits some knowledge including the name, function, relationships with other entities, taxonomic neighborhood and semantic knowledge. We propose a novel general-purpose annotation similarity measure called ‘AnnSim’ that measures the relatedness between two entities based on the similarity of their annotations. We model AnnSim as a 1–1 maximum weight bipartite match and exploit properties of existing solvers to provide an efficient solution. We empirically study the performance of AnnSim on real-world datasets of drugs and disease associations from clinical trials and relationships between drugs and (genomic) targets. Using baselines that include a variety of measures, we identify where AnnSim can provide a deeper understanding of the semantics underlying the relatedness of a pair of entities or where it could lead to predicting new links or identifying potential novel patterns. Although AnnSim does not exploit knowledge or properties of a particular domain, its performance compares well with a variety of state-of-the-art domain-specific measures. Database URL: http://www.yeastgenome.org/ PMID:25725057

Entity recognition in the biomedical domain using a hybrid approach.

PubMed

Basaldella, Marco; Furrer, Lenz; Tasso, Carlo; Rinaldi, Fabio

2017-11-09

This article describes a high-recall, high-precision approach for the extraction of biomedical entities from scientific articles. The approach uses a two-stage pipeline, combining a dictionary-based entity recognizer with a machine-learning classifier. First, the OGER entity recognizer, which has a bias towards high recall, annotates the terms that appear in selected domain ontologies. Subsequently, the Distiller framework uses this information as a feature for a machine learning algorithm to select the relevant entities only. For this step, we compare two different supervised machine-learning algorithms: Conditional Random Fields and Neural Networks. In an in-domain evaluation using the CRAFT corpus, we test the performance of the combined systems when recognizing chemicals, cell types, cellular components, biological processes, molecular functions, organisms, proteins, and biological sequences. Our best system combines dictionary-based candidate generation with Neural-Network-based filtering. It achieves an overall precision of 86% at a recall of 60% on the named entity recognition task, and a precision of 51% at a recall of 49% on the concept recognition task. These results are to our knowledge the best reported so far in this particular task.

A study of active learning methods for named entity recognition in clinical text.

PubMed

Chen, Yukun; Lasko, Thomas A; Mei, Qiaozhu; Denny, Joshua C; Xu, Hua

2015-12-01

Named entity recognition (NER), a sequential labeling task, is one of the fundamental tasks for building clinical natural language processing (NLP) systems. Machine learning (ML) based approaches can achieve good performance, but they often require large amounts of annotated samples, which are expensive to build due to the requirement of domain experts in annotation. Active learning (AL), a sample selection approach integrated with supervised ML, aims to minimize the annotation cost while maximizing the performance of ML-based models. In this study, our goal was to develop and evaluate both existing and new AL methods for a clinical NER task to identify concepts of medical problems, treatments, and lab tests from the clinical notes. Using the annotated NER corpus from the 2010 i2b2/VA NLP challenge that contained 349 clinical documents with 20,423 unique sentences, we simulated AL experiments using a number of existing and novel algorithms in three different categories including uncertainty-based, diversity-based, and baseline sampling strategies. They were compared with the passive learning that uses random sampling. Learning curves that plot performance of the NER model against the estimated annotation cost (based on number of sentences or words in the training set) were generated to evaluate different active learning and the passive learning methods and the area under the learning curve (ALC) score was computed. Based on the learning curves of F-measure vs. number of sentences, uncertainty sampling algorithms outperformed all other methods in ALC. Most diversity-based methods also performed better than random sampling in ALC. To achieve an F-measure of 0.80, the best method based on uncertainty sampling could save 66% annotations in sentences, as compared to random sampling. For the learning curves of F-measure vs. number of words, uncertainty sampling methods again outperformed all other methods in ALC. To achieve 0.80 in F-measure, in comparison to random

Identifying interactions between chemical entities in biomedical text.

PubMed

Lamurias, Andre; Ferreira, João D; Couto, Francisco M

2014-10-23

Interactions between chemical compounds described in biomedical text can be of great importance to drug discovery and design, as well as pharmacovigilance. We developed a novel system, \\"Identifying Interactions between Chemical Entities\\" (IICE), to identify chemical interactions described in text. Kernel-based Support Vector Machines first identify the interactions and then an ensemble classifier validates and classifies the type of each interaction. This relation extraction module was evaluated with the corpus released for the DDI Extraction task of SemEval 2013, obtaining results comparable to state-of-the-art methods for this type of task. We integrated this module with our chemical named entity recognition module and made the whole system available as a web tool at www.lasige.di.fc.ul.pt/webtools/iice.

Identifying interactions between chemical entities in biomedical text.

PubMed

Lamurias, Andre; Ferreira, João D; Couto, Francisco M

2014-12-01

Interactions between chemical compounds described in biomedical text can be of great importance to drug discovery and design, as well as pharmacovigilance. We developed a novel system, "Identifying Interactions between Chemical Entities" (IICE), to identify chemical interactions described in text. Kernel-based Support Vector Machines first identify the interactions and then an ensemble classifier validates and classifies the type of each interaction. This relation extraction module was evaluated with the corpus released for the DDI Extraction task of SemEval 2013, obtaining results comparable to stateof- the-art methods for this type of task. We integrated this module with our chemical named entity recognition module and made the whole system available as a web tool at www.lasige.di.fc.ul.pt/webtools/iice.

Determining similarity of scientific entities in annotation datasets.

PubMed

Palma, Guillermo; Vidal, Maria-Esther; Haag, Eric; Raschid, Louiqa; Thor, Andreas

2015-01-01

Linked Open Data initiatives have made available a diversity of scientific collections where scientists have annotated entities in the datasets with controlled vocabulary terms from ontologies. Annotations encode scientific knowledge, which is captured in annotation datasets. Determining relatedness between annotated entities becomes a building block for pattern mining, e.g. identifying drug-drug relationships may depend on the similarity of the targets that interact with each drug. A diversity of similarity measures has been proposed in the literature to compute relatedness between a pair of entities. Each measure exploits some knowledge including the name, function, relationships with other entities, taxonomic neighborhood and semantic knowledge. We propose a novel general-purpose annotation similarity measure called 'AnnSim' that measures the relatedness between two entities based on the similarity of their annotations. We model AnnSim as a 1-1 maximum weight bipartite match and exploit properties of existing solvers to provide an efficient solution. We empirically study the performance of AnnSim on real-world datasets of drugs and disease associations from clinical trials and relationships between drugs and (genomic) targets. Using baselines that include a variety of measures, we identify where AnnSim can provide a deeper understanding of the semantics underlying the relatedness of a pair of entities or where it could lead to predicting new links or identifying potential novel patterns. Although AnnSim does not exploit knowledge or properties of a particular domain, its performance compares well with a variety of state-of-the-art domain-specific measures. Database URL: http://www.yeastgenome.org/ © The Author(s) 2015. Published by Oxford University Press.

Giant hydronephrosis in a case of ureterocele with duplex system: an entity yet not reported.

PubMed

Aeron, Ruchir; Sokhal, Ashok Kumar; Kumar, Manoj; Sankhwar, Satyanarayan

2017-08-10

Ureterocele, which is a cystic dilatation of the terminal ureter, is usually associated with the upper moiety in a case of the duplex system. Giant hydronephrosis, a rare entity, is usually due to pelviureteric junction obstruction and is usually diagnosed in infants and children. We report a unique case of a unilateral complete duplex system with ureterocele with giant hydronephrosis of the upper moiety in an adult woman presenting as an abdominal lump. To the best of our knowledge, this is the first case of giant hydronephrosis associated with ureterocele in an adult patient. © BMJ Publishing Group Ltd (unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Naming, labeling, and packaging of pharmaceuticals.

PubMed

Kenagy, J W; Stein, G C

2001-11-01

The problem of medical errors associated with the naming, labeling, and packaging of pharmaceuticals is discussed. Sound-alike and look-alike drug names and packages can lead pharmacists and nurses to unintended interchanges of drugs that can result in patient injury or death. The existing medication-use system is flawed because its safety depends on human perfection. Simplicity, standardization, differentiation, lack of duplication, and unambiguous communication are human factors concepts that are relevant to the medication-use process. These principles have often been ignored in drug naming, labeling, and packaging. Instead, current methods are based on long-standing commercial considerations and bureaucratic procedures. The process for naming a marketable drug is lengthy and complex and involves submission of a new chemical entity and patent application, generic naming, brand naming, FDA review, and final approval. Drug companies seek the fastest possible approval and may believe that the incremental benefit of human factors evaluation is small. "Trade dress" is the concept that underlies labeling and packaging issues for the drug industry. Drug companies are resistant to changing trade dress and brand names. Although a variety of private-sector organizations have called for reforms in drug naming, labeling, and packaging standards have been proposed, the problem remains. Drug names, labels, and packages are not selected and designed in accordance with human factors principles. FDA standards do not require application of these principles, the drug industry has struggled with change, and private-sector initiatives have had only limited success.

8 CFR 338.12 - Endorsement by clerk of court in case name is changed.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 8 Aliens and Nationality 1 2010-01-01 2010-01-01 false Endorsement by clerk of court in case name is changed. 338.12 Section 338.12 Aliens and Nationality DEPARTMENT OF HOMELAND SECURITY NATIONALITY... database for naturalization recordkeeping, the name change information will be maintained in that database...

Opinion formation in time-varying social networks: The case of the naming game

NASA Astrophysics Data System (ADS)

Maity, Suman Kalyan; Manoj, T. Venkat; Mukherjee, Animesh

2012-09-01

We study the dynamics of the naming game as an opinion formation model on time-varying social networks. This agent-based model captures the essential features of the agreement dynamics by means of a memory-based negotiation process. Our study focuses on the impact of time-varying properties of the social network of the agents on the naming game dynamics. In particular, we perform a computational exploration of this model using simulations on top of real networks. We investigate the outcomes of the dynamics on two different types of time-varying data: (1) the networks vary on a day-to-day basis and (2) the networks vary within very short intervals of time (20 sec). In the first case, we find that networks with strong community structure hinder the system from reaching global agreement; the evolution of the naming game in these networks maintains clusters of coexisting opinions indefinitely leading to metastability. In the second case, we investigate the evolution of the naming game in perfect synchronization with the time evolution of the underlying social network shedding new light on the traditional emergent properties of the game that differ largely from what has been reported in the existing literature.

Coordination of a complex welfare system case: rehabilitation entity in Finland.

PubMed

Miettinen, Sari; Ashorn, Ulla; Lehto, Juhani; Viitanen, Elina

2011-01-01

The main purpose of this article is to analyse the institutional and political structures of the Finnish rehabilitation entity and the governmental efforts to improve the governance of the rehabilitation policy. Rehabilitation in Finland is a complex welfare system which has undergone several coordination attempts during the last two decades. The centrality of the coordination of this welfare system is obvious. Based on the content analysis of three Government's rehabilitation reports from 1994 to 2002 and their background papers, this article provides two main findings. First, the rehabilitation entity seems to be based on different funding strategies, different governing and different coordination models between the rehabilitation subsystems. Second, the governance discourse in the reports seems to be unchanging with a predominantly hierarchical mode. The article concludes with a discussion on the challenges to coordinate this kind of a complex welfare system as an entity and also how to overcome those challenges. Copyright © 2010 John Wiley & Sons, Ltd.

PKDE4J: Entity and relation extraction for public knowledge discovery.

PubMed

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

2015-10-01

Due to an enormous number of scientific publications that cannot be handled manually, there is a rising interest in text-mining techniques for automated information extraction, especially in the biomedical field. Such techniques provide effective means of information search, knowledge discovery, and hypothesis generation. Most previous studies have primarily focused on the design and performance improvement of either named entity recognition or relation extraction. In this paper, we present PKDE4J, a comprehensive text-mining system that integrates dictionary-based entity extraction and rule-based relation extraction in a highly flexible and extensible framework. Starting with the Stanford CoreNLP, we developed the system to cope with multiple types of entities and relations. The system also has fairly good performance in terms of accuracy as well as the ability to configure text-processing components. We demonstrate its competitive performance by evaluating it on many corpora and found that it surpasses existing systems with average F-measures of 85% for entity extraction and 81% for relation extraction. Copyright © 2015 Elsevier Inc. All rights reserved.

Recognition of chemical entities: combining dictionary-based and grammar-based approaches.

PubMed

Akhondi, Saber A; Hettne, Kristina M; van der Horst, Eelke; van Mulligen, Erik M; Kors, Jan A

2015-01-01

The past decade has seen an upsurge in the number of publications in chemistry. The ever-swelling volume of available documents makes it increasingly hard to extract relevant new information from such unstructured texts. The BioCreative CHEMDNER challenge invites the development of systems for the automatic recognition of chemicals in text (CEM task) and for ranking the recognized compounds at the document level (CDI task). We investigated an ensemble approach where dictionary-based named entity recognition is used along with grammar-based recognizers to extract compounds from text. We assessed the performance of ten different commercial and publicly available lexical resources using an open source indexing system (Peregrine), in combination with three different chemical compound recognizers and a set of regular expressions to recognize chemical database identifiers. The effect of different stop-word lists, case-sensitivity matching, and use of chunking information was also investigated. We focused on lexical resources that provide chemical structure information. To rank the different compounds found in a text, we used a term confidence score based on the normalized ratio of the term frequencies in chemical and non-chemical journals. The use of stop-word lists greatly improved the performance of the dictionary-based recognition, but there was no additional benefit from using chunking information. A combination of ChEBI and HMDB as lexical resources, the LeadMine tool for grammar-based recognition, and the regular expressions, outperformed any of the individual systems. On the test set, the F-scores were 77.8% (recall 71.2%, precision 85.8%) for the CEM task and 77.6% (recall 71.7%, precision 84.6%) for the CDI task. Missed terms were mainly due to tokenization issues, poor recognition of formulas, and term conjunctions. We developed an ensemble system that combines dictionary-based and grammar-based approaches for chemical named entity recognition, outperforming

Recognition of chemical entities: combining dictionary-based and grammar-based approaches

PubMed Central

2015-01-01

Background The past decade has seen an upsurge in the number of publications in chemistry. The ever-swelling volume of available documents makes it increasingly hard to extract relevant new information from such unstructured texts. The BioCreative CHEMDNER challenge invites the development of systems for the automatic recognition of chemicals in text (CEM task) and for ranking the recognized compounds at the document level (CDI task). We investigated an ensemble approach where dictionary-based named entity recognition is used along with grammar-based recognizers to extract compounds from text. We assessed the performance of ten different commercial and publicly available lexical resources using an open source indexing system (Peregrine), in combination with three different chemical compound recognizers and a set of regular expressions to recognize chemical database identifiers. The effect of different stop-word lists, case-sensitivity matching, and use of chunking information was also investigated. We focused on lexical resources that provide chemical structure information. To rank the different compounds found in a text, we used a term confidence score based on the normalized ratio of the term frequencies in chemical and non-chemical journals. Results The use of stop-word lists greatly improved the performance of the dictionary-based recognition, but there was no additional benefit from using chunking information. A combination of ChEBI and HMDB as lexical resources, the LeadMine tool for grammar-based recognition, and the regular expressions, outperformed any of the individual systems. On the test set, the F-scores were 77.8% (recall 71.2%, precision 85.8%) for the CEM task and 77.6% (recall 71.7%, precision 84.6%) for the CDI task. Missed terms were mainly due to tokenization issues, poor recognition of formulas, and term conjunctions. Conclusions We developed an ensemble system that combines dictionary-based and grammar-based approaches for chemical named

Abstracts versus Full Texts and Patents: A Quantitative Analysis of Biomedical Entities

NASA Astrophysics Data System (ADS)

Müller, Bernd; Klinger, Roman; Gurulingappa, Harsha; Mevissen, Heinz-Theodor; Hofmann-Apitius, Martin; Fluck, Juliane; Friedrich, Christoph M.

In information retrieval, named entity recognition gives the opportunity to apply semantic search in domain specific corpora. Recently, more full text patents and journal articles became freely available. As the information distribution amongst the different sections is unknown, an analysis of the diversity is of interest.

Zoonoses As Ecological Entities: A Case Review of Plague

PubMed Central

de Almeida, Alzira Maria Paiva; Cordeiro-Estrela, Pedro

2016-01-01

As a zoonosis, Plague is also an ecological entity, a complex system of ecological interactions between the pathogen, the hosts, and the spatiotemporal variations of its ecosystems. Five reservoir system models have been proposed: (i) assemblages of small mammals with different levels of susceptibility and roles in the maintenance and amplification of the cycle; (ii) species-specific chronic infection models; (ii) flea vectors as the true reservoirs; (iii) Telluric Plague, and (iv) a metapopulation arrangement for species with a discrete spatial organization, following a source-sink dynamic of extinction and recolonization with naïve potential hosts. The diversity of the community that harbors the reservoir system affects the transmission cycle by predation, competition, and dilution effect. Plague has notable environmental constraints, depending on altitude (500+ meters), warm and dry climates, and conditions for high productivity events for expansion of the transmission cycle. Human impacts are altering Plague dynamics by altering landscape and the faunal composition of the foci and adjacent areas, usually increasing the presence and number of human cases and outbreaks. Climatic change is also affecting the range of its occurrence. In the current transitional state of zoonosis as a whole, Plague is at risk of becoming a public health problem in poor countries where ecosystem erosion, anthropic invasion of new areas, and climate change increase the contact of the population with reservoir systems, giving new urgency for ecologic research that further details its maintenance in the wild, the spillover events, and how it links to human cases. PMID:27711205

Zoonoses As Ecological Entities: A Case Review of Plague.

PubMed

Zeppelini, Caio Graco; de Almeida, Alzira Maria Paiva; Cordeiro-Estrela, Pedro

2016-10-01

As a zoonosis, Plague is also an ecological entity, a complex system of ecological interactions between the pathogen, the hosts, and the spatiotemporal variations of its ecosystems. Five reservoir system models have been proposed: (i) assemblages of small mammals with different levels of susceptibility and roles in the maintenance and amplification of the cycle; (ii) species-specific chronic infection models; (ii) flea vectors as the true reservoirs; (iii) Telluric Plague, and (iv) a metapopulation arrangement for species with a discrete spatial organization, following a source-sink dynamic of extinction and recolonization with naïve potential hosts. The diversity of the community that harbors the reservoir system affects the transmission cycle by predation, competition, and dilution effect. Plague has notable environmental constraints, depending on altitude (500+ meters), warm and dry climates, and conditions for high productivity events for expansion of the transmission cycle. Human impacts are altering Plague dynamics by altering landscape and the faunal composition of the foci and adjacent areas, usually increasing the presence and number of human cases and outbreaks. Climatic change is also affecting the range of its occurrence. In the current transitional state of zoonosis as a whole, Plague is at risk of becoming a public health problem in poor countries where ecosystem erosion, anthropic invasion of new areas, and climate change increase the contact of the population with reservoir systems, giving new urgency for ecologic research that further details its maintenance in the wild, the spillover events, and how it links to human cases.

Integrated Bio-Entity Network: A System for Biological Knowledge Discovery

PubMed Central

Bell, Lindsey; Chowdhary, Rajesh; Liu, Jun S.; Niu, Xufeng; Zhang, Jinfeng

2011-01-01

A significant part of our biological knowledge is centered on relationships between biological entities (bio-entities) such as proteins, genes, small molecules, pathways, gene ontology (GO) terms and diseases. Accumulated at an increasing speed, the information on bio-entity relationships is archived in different forms at scattered places. Most of such information is buried in scientific literature as unstructured text. Organizing heterogeneous information in a structured form not only facilitates study of biological systems using integrative approaches, but also allows discovery of new knowledge in an automatic and systematic way. In this study, we performed a large scale integration of bio-entity relationship information from both databases containing manually annotated, structured information and automatic information extraction of unstructured text in scientific literature. The relationship information we integrated in this study includes protein–protein interactions, protein/gene regulations, protein–small molecule interactions, protein–GO relationships, protein–pathway relationships, and pathway–disease relationships. The relationship information is organized in a graph data structure, named integrated bio-entity network (IBN), where the vertices are the bio-entities and edges represent their relationships. Under this framework, graph theoretic algorithms can be designed to perform various knowledge discovery tasks. We designed breadth-first search with pruning (BFSP) and most probable path (MPP) algorithms to automatically generate hypotheses—the indirect relationships with high probabilities in the network. We show that IBN can be used to generate plausible hypotheses, which not only help to better understand the complex interactions in biological systems, but also provide guidance for experimental designs. PMID:21738677

A Statistical Model for Multilingual Entity Detection and Tracking

DTIC Science & Technology

2004-01-01

tomatic Content Extraction ( ACE ) evaluation achieved top-tier results in all three evaluation languages. 1 Introduction Detecting entities, whether named...of com- bining the detected mentions into groups of references to the same object. The work presented here is motivated by the ACE eval- uation...Entropy (MaxEnt henceforth) (Berger et al., 1996) and Robust Risk Minimization (RRM henceforth) 1For a description of the ACE program see http

Human-machine interaction to disambiguate entities in unstructured text and structured datasets

NASA Astrophysics Data System (ADS)

Ward, Kevin; Davenport, Jack

2017-05-01

Creating entity network graphs is a manual, time consuming process for an intelligence analyst. Beyond the traditional big data problems of information overload, individuals are often referred to by multiple names and shifting titles as they advance in their organizations over time which quickly makes simple string or phonetic alignment methods for entities insufficient. Conversely, automated methods for relationship extraction and entity disambiguation typically produce questionable results with no way for users to vet results, correct mistakes or influence the algorithm's future results. We present an entity disambiguation tool, DRADIS, which aims to bridge the gap between human-centric and machinecentric methods. DRADIS automatically extracts entities from multi-source datasets and models them as a complex set of attributes and relationships. Entities are disambiguated across the corpus using a hierarchical model executed in Spark allowing it to scale to operational sized data. Resolution results are presented to the analyst complete with sourcing information for each mention and relationship allowing analysts to quickly vet the correctness of results as well as correct mistakes. Corrected results are used by the system to refine the underlying model allowing analysts to optimize the general model to better deal with their operational data. Providing analysts with the ability to validate and correct the model to produce a system they can trust enables them to better focus their time on producing higher quality analysis products.

Spine malformation complex in 3 diverse syndromic entities: Case reports.

PubMed

Kaissi, Ali Al; van Egmond-Fröhlich, Andreas; Ryabykh, Sergey; Ochirov, Polina; Kenis, Vladimir; Hofstaetter, Jochen G; Grill, Franz; Ganger, Rudolf; Kircher, Susanne Gerit

2016-12-01

Clinical and radiographic phenotypic characterizations were the base line tool of diagnosis in 3 syndromic disorders in which congenital cervico-thoracic kyphosis was the major deformity. Directing maximal care toward the radiographic analysis is not only the axial malformation but also toward the appendicular abnormalities was our main concern. We fully documented the diversity of the spine phenotypic malformation complex via the clinical and radiographic phenotypes. We established the diagnosis via phenotypic/genotypic confirmation in 3 diverse syndromic entities namely acampomelic campomelic dysplasia, Larsen syndrome and Morquio syndrome type A (mucopolysaccharidosis type IV A). Surgical interventions have been carried out in the Larsen syndrome and Morquio syndrome type A, resepectively. The earliest the diagnosis is, the better the results are. The necessity to diagnose children in their first year of life has many folds, firstly the management would be in favor of the child's growth and development and secondly, the prognosis could be clearer to the family and the medical staff as well. Our current paper is to sensitize paediatricians, physicians and orthopedic surgeons regarding the necessity to detect the aetiological understanding in every child who manifests a constellation of malformation complex. Scoliosis and kyphosis/kyphoscoliosis are not a diagnosis in themselves. Such deformities are mostly a symptom complex correlated to dozens of types of syndromic associations. The rate curve progression and the final severity of congenital spine tilting are related to 3 factors: (a) the type of vertebral malformation present, (b) the patient's phenotype, and (c) the diagnosis.

Biological entities isolated from the stratosphere (22-27km): case for their space origin

NASA Astrophysics Data System (ADS)

Wainwright, Milton; Rose, Christopher E.; Baker, Alexander J.; Wickramasinghe, N. Chandra

2013-09-01

Biological entities were isolated at a height of between 22-27 km in the stratosphere. Sampling of this region was carried out in the UK in July 2013 using a relatively simple low-cost balloon-borne sampler carrying aseptically clean scanning electron microscope stubs onto which aerosols were directly captured. The entities varied from a presumptive colony of ultra-small bacteria to two unusual individual organisms - part of a diatom frustule and a 200 micron-sized particle mass interlaced with biological filaments. Biological entities of this nature have not previously been reported occurring in the stratosphere; their likely origin is discussed and we provide arguments to support our view that such biological entities may have arrived from space. The new data gives strong confirmation of the Hoyle-Wickramasinghe theory of cometary panspermia.

Vogt-Koyanagi-Harada disease: inquiry into the genesis of a disease name in the historical context of Switzerland and Japan.

PubMed

Herbort, Carl P; Mochizuki, Manabu

2007-01-01

To delineate the historical steps associated with the genesis of the name and the definition of Vogt-Koyanagi-Harada (VKH) disease. A bibliographical review of the major publications that were relevant to the original development of the name of the clinical entity known today as Vogt-Koyanagi-Harada disease, in the historical context of the early 20th century. Three distinct time periods can be considered to be important in terms of providing a historical perspective on VKH disease. Given that the cutaneous manifestations of VKH disease are so characteristic, these could not have been missed even before the actual clinical entity of VKH was recognized in the early 20th century. Indeed, several authors, including the Arabic doctor Mohammad-al-Ghâfiqî in the 12th century as well as Jacobi, Nettelship and Tay in the 19th century, described poliosis, neuralgias and hearing disorders. Many of these cases were probably due to sympathetic ophthalmia, but some were clearly VKH cases. The second phase is characterized by the surge of articles that appeared early in the 20th century that defined the disease more precisely. A number of these authors subsequently became associated with the disease name, the first being Alfred Vogt from Switzerland, followed by Japanese researchers. Yoshizo Koyanagi was in fact not the first Japanese author to describe the disease; this honor goes to the first Japanese Professor of Ophthalmology at the University of Tokyo, Dr. Jujiro Komoto, who published in a German language journal, Klinische Monatsblätter für Augenheilkunde in 1911. Yoshizo Koyanagi published his first report in the Nippon Ganka Gakkai Zasshi 3 years later, in 1914, but it was a much later article, one published in 1929, that definitively associated his name with the disease. In this review article, Koyanagi reported 16 cases, of which six were his own cases, that beautifully illustrate the natural course of the disease. In this same time period, Einosuke Harada, in an

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

PubMed

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.

NeuroNames: an ontology for the BrainInfo portal to neuroscience on the web.

PubMed

Bowden, Douglas M; Song, Evan; Kosheleva, Julia; Dubach, Mark F

2012-01-01

BrainInfo ( http://braininfo.org ) is a growing portal to neuroscientific information on the Web. It is indexed by NeuroNames, an ontology designed to compensate for ambiguities in neuroanatomical nomenclature. The 20-year old ontology continues to evolve toward the ideal of recognizing all names of neuroanatomical entities and accommodating all structural concepts about which neuroscientists communicate, including multiple concepts of entities for which neuroanatomists have yet to determine the best or 'true' conceptualization. To make the definitions of structural concepts unambiguous and terminologically consistent we created a 'default vocabulary' of unique structure names selected from existing terminology. We selected standard names by criteria designed to maximize practicality for use in verbal communication as well as computerized knowledge management. The ontology of NeuroNames accommodates synonyms and homonyms of the standard terms in many languages. It defines complex structures as models composed of primary structures, which are defined in unambiguous operational terms. NeuroNames currently relates more than 16,000 names in eight languages to some 2,500 neuroanatomical concepts. The ontology is maintained in a relational database with three core tables: Names, Concepts and Models. BrainInfo uses NeuroNames to index information by structure, to interpret users' queries and to clarify terminology on remote web pages. NeuroNames is a resource vocabulary of the NLM's Unified Medical Language System (UMLS, 2011) and the basis for the brain regions component of NIFSTD (NeuroLex, 2011). The current version has been downloaded to hundreds of laboratories for indexing data and linking to BrainInfo, which attracts some 400 visitors/day, downloading 2,000 pages/day.

Naming the newly found landforms on Venus

NASA Technical Reports Server (NTRS)

Batson, R. M.; Russell, J. F.

1991-01-01

The mapping of Venus is unique in the history of cartigraphy; never has so much territory been discovered and mapped in so short a period of time. Therefore, in the interest of international scientific communication, there is a unique urgency to the development of a system of names for surface features on Venus. The process began with the naming of features seen on radar images taken from Earth and continued through mapping expeditions of the U.S. and U.S.S.R. However, the Magellan Mission resolves features twenty-five times smaller than those mapped previously, and its radar data will cover an area nearly equivalent to that of the continents and the sea-floors of the Earth combined. The International Astronomical Union (IAU) was charged with the formal endorsement of names of features on the planets. Proposed names are collected, approved, and applied through the IAU Working Group for Planetary System Nomenclature (WGPSN) and its task groups, prior to IAU approval by the IAU General Assembly. Names approved by the WGPSN and its task groups, prior to final approval may be used on published maps and articles, provided that their provisional nature is stipulated. The IAU has established themes for the names to be used on each of the planets; names of historical and mythological women are used on Venus. Names of political entities and those identified with active religions are not acceptable, and a person must have been deceased for three years or more to be considered. Any interested person may propose a name for consideration by the IAU.

On 'lost' indigenous etymological origins with the specific case of the name Ameiva.

PubMed

Angeli, Nicole Frances

2018-01-01

Modern biology builds upon the historic exploration of the natural world. Recognizing the origin of a species' name is one path to honor the historic exploration and description of the natural world and the indigenous peoples that lived closely with organisms prior to their description. While digitization of historic papers catalogued in databases such as the Biodiversity Heritage Library (BHL) allows for searching of the first use and origin of names, the rapid pace of taxonomic publishing can occlude a thorough search for etymologies. The etymological origin of the genus name Ameiva is one such case; while unattributed in multiple recent works, it is of Tupí language origin. The first description was in the Historiae Rerum Naturalium Brasiliae by George Marcgrave (1648). Ameiva was the name used by Marcgrave's Amerindian hosts in 17 th century Dutch Brazil, where local people spoke the now extinct language Tupí. The Tupí origin was not lost, however, until as recently as the 2000s. Herein, the pre- and post-Linnaean use of the name Ameiva is traced and when the name is attributed to the Tupí language and to Marcgrave through time it is noted. The opportunity to discover and/or recover etymological origins, especially names from extinct and indigenous languages, provides insight into the early Western sciences. Careful study of etymology by naturalists is consistent with the idea that science is an evolving process with many predecessors to appreciate.

What's in a Name? Interlocutors Dynamically Update Expectations about Shared Names.

PubMed

Gegg-Harrison, Whitney M; Tanenhaus, Michael K

2016-01-01

In order to refer using a name, speakers must believe that their addressee knows about the link between the name and the intended referent. In cases where speakers and addressees learned a subset of names together, speakers are adept at using only the names their partner knows. But speakers do not always share such learning experience with their conversational partners. In these situations, what information guides speakers' choice of referring expression? A speaker who is uncertain about a names' common ground (CG) status often uses a name and description together. This N+D form allows speakers to demonstrate knowledge of a name, and could provide, even in the absence of miscommunication, useful evidence to the addressee regarding the speaker's knowledge. In cases where knowledge of one name is associated with knowledge of other names, this could provide indirect evidence regarding knowledge of other names that could support generalizations used to update beliefs about CG. Using Bayesian approaches to language processing as a guiding framework, we predict that interlocutors can use their partner's choice of referring expression, in particular their use of an N+D form, to generate more accurate beliefs regarding their partner's knowledge of other names. In Experiment 1, we find that domain experts are able to use their partner's referring expression choices to generate more accurate estimates of CG. In Experiment 2, we find that interlocutors are able to infer from a partner's use of an N+D form which other names that partner is likely to know or not know. Our results suggest that interlocutors can use the information conveyed in their partner's choice of referring expression to make generalizations that contribute to more accurate beliefs about what is shared with their partner, and further, that models of CG for reference need to account not just for the status of referents, but the status of means of referring to those referents.

What's in a Name? Interlocutors Dynamically Update Expectations about Shared Names

PubMed Central

Gegg-Harrison, Whitney M.; Tanenhaus, Michael K.

2016-01-01

In order to refer using a name, speakers must believe that their addressee knows about the link between the name and the intended referent. In cases where speakers and addressees learned a subset of names together, speakers are adept at using only the names their partner knows. But speakers do not always share such learning experience with their conversational partners. In these situations, what information guides speakers' choice of referring expression? A speaker who is uncertain about a names' common ground (CG) status often uses a name and description together. This N+D form allows speakers to demonstrate knowledge of a name, and could provide, even in the absence of miscommunication, useful evidence to the addressee regarding the speaker's knowledge. In cases where knowledge of one name is associated with knowledge of other names, this could provide indirect evidence regarding knowledge of other names that could support generalizations used to update beliefs about CG. Using Bayesian approaches to language processing as a guiding framework, we predict that interlocutors can use their partner's choice of referring expression, in particular their use of an N+D form, to generate more accurate beliefs regarding their partner's knowledge of other names. In Experiment 1, we find that domain experts are able to use their partner's referring expression choices to generate more accurate estimates of CG. In Experiment 2, we find that interlocutors are able to infer from a partner's use of an N+D form which other names that partner is likely to know or not know. Our results suggest that interlocutors can use the information conveyed in their partner's choice of referring expression to make generalizations that contribute to more accurate beliefs about what is shared with their partner, and further, that models of CG for reference need to account not just for the status of referents, but the status of means of referring to those referents. PMID:26955361

Spatial distribution and influence factors of interprovincial terrestrial physical geographical names in China

NASA Astrophysics Data System (ADS)

Zhang, S.; Wang, Y.; Ju, H.

2017-12-01

The interprovincial terrestrial physical geographical entities are the key areas of regional integrated management. Based on toponomy dictionaries and different thematic maps, the attributes and the spatial extent of the interprovincial terrestrial physical geographical names (ITPGN, including terrain ITPGN and water ITPGN) were extracted. The coefficient of variation and Moran's I were combined together to measure the spatial variation and spatial association of ITPGN. The influencing factors of the distribution of ITPGN and the implications for the regional management were further discussed. The results showed that 11325 ITPGN were extracted, including 7082 terrain ITPGN and 4243 water ITPGN. Hunan Province had the largest number of ITPGN in China, and Shanghai had the smallest number. The spatial variance of the terrain ITPGN was larger than that of the water ITPGN, and the ITPGN showed a significant agglomeration phenomenon in the southern part of China. Further analysis showed that the number of ITPGN was positively related with the relative elevation and the population where the relative elevation was lower than 2000m and the population was less than 50 million. But the number of ITPGN showed a negative relationship with the two factors when their values became larger, indicating a large number of unnamed entities existed in complex terrain areas and a decreasing number of terrestrial physical geographical entities in densely populated area. Based on these analysis, we suggest the government take the ITPGN as management units to realize a balance development between different parts of the entities and strengthen the geographical names census and the nomination of unnamed interprovincial physical geographical entities. This study also demonstrated that the methods of literature survey, coefficient of variation and Moran's I can be combined to enhance the understanding of the spatial pattern of ITPGN.

78 FR 78514 - Designation of One Individual and Three Entities Pursuant to Executive Order

Federal Register 2010, 2011, 2012, 2013, 2014

2013-12-26

... DEPARTMENT OF THE TREASURY Office of Foreign Assets Control Designation of One Individual and... publishing the name of one individual and three entities whose property and interests in property are blocked..., Security, or Stability of Burma.'' DATES: The designation by the Director of OFAC of the one individual and...

22 CFR 96.6 - Performance criteria for designation as an accrediting entity.

Code of Federal Regulations, 2010 CFR

2010-04-01

... other similar functions; (f) Except in the case of a public entity, that it operates independently of... 22 Foreign Relations 1 2010-04-01 2010-04-01 false Performance criteria for designation as an accrediting entity. 96.6 Section 96.6 Foreign Relations DEPARTMENT OF STATE LEGAL AND RELATED SERVICES...

Gimli: open source and high-performance biomedical name recognition

PubMed Central

2013-01-01

Background Automatic recognition of biomedical names is an essential task in biomedical information extraction, presenting several complex and unsolved challenges. In recent years, various solutions have been implemented to tackle this problem. However, limitations regarding system characteristics, customization and usability still hinder their wider application outside text mining research. Results We present Gimli, an open-source, state-of-the-art tool for automatic recognition of biomedical names. Gimli includes an extended set of implemented and user-selectable features, such as orthographic, morphological, linguistic-based, conjunctions and dictionary-based. A simple and fast method to combine different trained models is also provided. Gimli achieves an F-measure of 87.17% on GENETAG and 72.23% on JNLPBA corpus, significantly outperforming existing open-source solutions. Conclusions Gimli is an off-the-shelf, ready to use tool for named-entity recognition, providing trained and optimized models for recognition of biomedical entities from scientific text. It can be used as a command line tool, offering full functionality, including training of new models and customization of the feature set and model parameters through a configuration file. Advanced users can integrate Gimli in their text mining workflows through the provided library, and extend or adapt its functionalities. Based on the underlying system characteristics and functionality, both for final users and developers, and on the reported performance results, we believe that Gimli is a state-of-the-art solution for biomedical NER, contributing to faster and better research in the field. Gimli is freely available at http://bioinformatics.ua.pt/gimli. PMID:23413997

Assessment of Orthographic Similarity of Drugs Names between Iran and Overseas Using the Solar Model

PubMed Central

ABOLHASSANI, Nazanin; AKBARI SARI, Ali; RASHIDIAN, Arash; RASTEGARPANAH, Mansoor

2017-01-01

Background: The recognition of patient safety is now occupying a prominent place on the health policy agenda since medical errors can result in adverse events. The existence of confusing drug names is one of the most common causes of medication errors. In Iran, the General Office of Trademarks Registry (GOTR), for four years (2010–2014) was responsible for approving drug proprietary names. This study aimed to investigate the performance of the GOTR in terms of drug names orthographic similarity using the SOLAR model. Methods: First, 100 names were randomly selected from the GOTR’s database. Then, each name was searched through pharmaceutical websites including Martindale (the Complete Drug Reference published by Pharmaceutical Press), Drugs.com and Medicines Complete. Pair of drugs whose names look orthographically similar with different indications were identified. Then, the SOLAR model was utilized to determine orthographic similarity between all pair of drug names. Results: The mean of match values of these 100 pairs of drug was 77% indicating the high risk of similarity. The match value for most of the reviewed pairs (92%) was high (≥66%). This value was medium (≥ 33% and <66%) just for 8% of the pairs of drug. These results indicate high risk of confusion due to similarity of drug names. Conclusion: The stewardship of the GOTR in patient safety considerations is fundamentally problematic. Thus, as a best practice, we recommend that proprietary names of drugs be evaluated by an entity within the health system. While an entity within the health system should address patient safety considerations, the GOTR is responsible for intellectual property rights. PMID:29259940

Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems.

PubMed

Huang, Lifu; May, Jonathan; Pan, Xiaoman; Ji, Heng; Ren, Xiang; Han, Jiawei; Zhao, Lin; Hendler, James A

2017-03-01

The ability of automatically recognizing and typing entities in natural language without prior knowledge (e.g., predefined entity types) is a major challenge in processing such data. Most existing entity typing systems are limited to certain domains, genres, and languages. In this article, we propose a novel unsupervised entity-typing framework by combining symbolic and distributional semantics. We start from learning three types of representations for each entity mention: general semantic representation, specific context representation, and knowledge representation based on knowledge bases. Then we develop a novel joint hierarchical clustering and linking algorithm to type all mentions using these representations. This framework does not rely on any annotated data, predefined typing schema, or handcrafted features; therefore, it can be quickly adapted to a new domain, genre, and/or language. Experiments on genres (news and discussion forum) show comparable performance with state-of-the-art supervised typing systems trained from a large amount of labeled data. Results on various languages (English, Chinese, Japanese, Hausa, and Yoruba) and domains (general and biomedical) demonstrate the portability of our framework.

Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems

PubMed Central

Huang, Lifu; May, Jonathan; Pan, Xiaoman; Ji, Heng; Ren, Xiang; Han, Jiawei; Zhao, Lin; Hendler, James A.

2017-01-01

Abstract The ability of automatically recognizing and typing entities in natural language without prior knowledge (e.g., predefined entity types) is a major challenge in processing such data. Most existing entity typing systems are limited to certain domains, genres, and languages. In this article, we propose a novel unsupervised entity-typing framework by combining symbolic and distributional semantics. We start from learning three types of representations for each entity mention: general semantic representation, specific context representation, and knowledge representation based on knowledge bases. Then we develop a novel joint hierarchical clustering and linking algorithm to type all mentions using these representations. This framework does not rely on any annotated data, predefined typing schema, or handcrafted features; therefore, it can be quickly adapted to a new domain, genre, and/or language. Experiments on genres (news and discussion forum) show comparable performance with state-of-the-art supervised typing systems trained from a large amount of labeled data. Results on various languages (English, Chinese, Japanese, Hausa, and Yoruba) and domains (general and biomedical) demonstrate the portability of our framework. PMID:28328252

A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries.

PubMed

Jiang, Min; Chen, Yukun; Liu, Mei; Rosenbloom, S Trent; Mani, Subramani; Denny, Joshua C; Xu, Hua

2011-01-01

The authors' goal was to develop and evaluate machine-learning-based approaches to extracting clinical entities-including medical problems, tests, and treatments, as well as their asserted status-from hospital discharge summaries written using natural language. This project was part of the 2010 Center of Informatics for Integrating Biology and the Bedside/Veterans Affairs (VA) natural-language-processing challenge. The authors implemented a machine-learning-based named entity recognition system for clinical text and systematically evaluated the contributions of different types of features and ML algorithms, using a training corpus of 349 annotated notes. Based on the results from training data, the authors developed a novel hybrid clinical entity extraction system, which integrated heuristic rule-based modules with the ML-base named entity recognition module. The authors applied the hybrid system to the concept extraction and assertion classification tasks in the challenge and evaluated its performance using a test data set with 477 annotated notes. Standard measures including precision, recall, and F-measure were calculated using the evaluation script provided by the Center of Informatics for Integrating Biology and the Bedside/VA challenge organizers. The overall performance for all three types of clinical entities and all six types of assertions across 477 annotated notes were considered as the primary metric in the challenge. Systematic evaluation on the training set showed that Conditional Random Fields outperformed Support Vector Machines, and semantic information from existing natural-language-processing systems largely improved performance, although contributions from different types of features varied. The authors' hybrid entity extraction system achieved a maximum overall F-score of 0.8391 for concept extraction (ranked second) and 0.9313 for assertion classification (ranked fourth, but not statistically different than the first three systems) on the test

Relatedness-based Multi-Entity Summarization

PubMed Central

Gunaratna, Kalpa; Yazdavar, Amir Hossein; Thirunarayan, Krishnaprasad; Sheth, Amit; Cheng, Gong

2017-01-01

Representing world knowledge in a machine processable format is important as entities and their descriptions have fueled tremendous growth in knowledge-rich information processing platforms, services, and systems. Prominent applications of knowledge graphs include search engines (e.g., Google Search and Microsoft Bing), email clients (e.g., Gmail), and intelligent personal assistants (e.g., Google Now, Amazon Echo, and Apple’s Siri). In this paper, we present an approach that can summarize facts about a collection of entities by analyzing their relatedness in preference to summarizing each entity in isolation. Specifically, we generate informative entity summaries by selecting: (i) inter-entity facts that are similar and (ii) intra-entity facts that are important and diverse. We employ a constrained knapsack problem solving approach to efficiently compute entity summaries. We perform both qualitative and quantitative experiments and demonstrate that our approach yields promising results compared to two other stand-alone state-of-the-art entity summarization approaches. PMID:29051696

Enhancing of chemical compound and drug name recognition using representative tag scheme and fine-grained tokenization.

PubMed

Dai, Hong-Jie; Lai, Po-Ting; Chang, Yung-Chun; Tsai, Richard Tzong-Han

2015-01-01

The functions of chemical compounds and drugs that affect biological processes and their particular effect on the onset and treatment of diseases have attracted increasing interest with the advancement of research in the life sciences. To extract knowledge from the extensive literatures on such compounds and drugs, the organizers of BioCreative IV administered the CHEMical Compound and Drug Named Entity Recognition (CHEMDNER) task to establish a standard dataset for evaluating state-of-the-art chemical entity recognition methods. This study introduces the approach of our CHEMDNER system. Instead of emphasizing the development of novel feature sets for machine learning, this study investigates the effect of various tag schemes on the recognition of the names of chemicals and drugs by using conditional random fields. Experiments were conducted using combinations of different tokenization strategies and tag schemes to investigate the effects of tag set selection and tokenization method on the CHEMDNER task. This study presents the performance of CHEMDNER of three more representative tag schemes-IOBE, IOBES, and IOB12E-when applied to a widely utilized IOB tag set and combined with the coarse-/fine-grained tokenization methods. The experimental results thus reveal that the fine-grained tokenization strategy performance best in terms of precision, recall and F-scores when the IOBES tag set was utilized. The IOBES model with fine-grained tokenization yielded the best-F-scores in the six chemical entity categories other than the "Multiple" entity category. Nonetheless, no significant improvement was observed when a more representative tag schemes was used with the coarse or fine-grained tokenization rules. The best F-scores that were achieved using the developed system on the test dataset of the CHEMDNER task were 0.833 and 0.815 for the chemical documents indexing and the chemical entity mention recognition tasks, respectively. The results herein highlight the importance

13 CFR 130.200 - Eligible entities.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 13 Business Credit and Assistance 1 2011-01-01 2011-01-01 false Eligible entities. 130.200 Section... CENTERS § 130.200 Eligible entities. (a) Recipient Organization. The following entities are eligible to... community or junior college; (5) An entity formed by two or more of the above entities; or (6) Any entity...

31 CFR 575.304 - Entity of the Government of Iraq; Iraqi Government entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity of the Government of Iraq; Iraqi Government entity. 575.304 Section 575.304 Money and Finance: Treasury Regulations Relating to... SANCTIONS REGULATIONS General Definitions § 575.304 Entity of the Government of Iraq; Iraqi Government...

Interactive entity resolution in relational data: a visual analytic tool and its evaluation.

PubMed

Kang, Hyunmo; Getoor, Lise; Shneiderman, Ben; Bilgic, Mustafa; Licamele, Louis

2008-01-01

Databases often contain uncertain and imprecise references to real-world entities. Entity resolution, the process of reconciling multiple references to underlying real-world entities, is an important data cleaning process required before accurate visualization or analysis of the data is possible. In many cases, in addition to noisy data describing entities, there is data describing the relationships among the entities. This relational data is important during the entity resolution process; it is useful both for the algorithms which determine likely database references to be resolved and for visual analytic tools which support the entity resolution process. In this paper, we introduce a novel user interface, D-Dupe, for interactive entity resolution in relational data. D-Dupe effectively combines relational entity resolution algorithms with a novel network visualization that enables users to make use of an entity's relational context for making resolution decisions. Since resolution decisions often are interdependent, D-Dupe facilitates understanding this complex process through animations which highlight combined inferences and a history mechanism which allows users to inspect chains of resolution decisions. An empirical study with 12 users confirmed the benefits of the relational context visualization on the performance of entity resolution tasks in relational data in terms of time as well as users' confidence and satisfaction.

31 CFR 800.211 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 800.211 Section 800.211 Money... FOREIGN PERSONS Definitions § 800.211 Entity. The term entity means any branch, partnership, group or sub... separate legal entity) operated by any one of the foregoing as a business undertaking in a particular...

Exploring the Repeated Name Penalty and the Overt Pronoun Penalty in Spanish

ERIC Educational Resources Information Center

Gelormini-Lezama, Carlos

2018-01-01

Anaphoric expressions such as repeated names, overt pronouns, and null pronouns serve a major role in the creation and maintenance of discourse coherence. The felicitous use of an anaphoric expression is highly dependent on the discourse salience of the entity introduced by the antecedent. Gordon et al. ("Cogn Sci" 17:311-347, 1993)…

On ‘lost’ indigenous etymological origins with the specific case of the name Ameiva

PubMed Central

Angeli, Nicole Frances

2018-01-01

Abstract Modern biology builds upon the historic exploration of the natural world. Recognizing the origin of a species’ name is one path to honor the historic exploration and description of the natural world and the indigenous peoples that lived closely with organisms prior to their description. While digitization of historic papers catalogued in databases such as the Biodiversity Heritage Library (BHL) allows for searching of the first use and origin of names, the rapid pace of taxonomic publishing can occlude a thorough search for etymologies. The etymological origin of the genus name Ameiva is one such case; while unattributed in multiple recent works, it is of Tupí language origin. The first description was in the Historiae Rerum Naturalium Brasiliae by George Marcgrave (1648). Ameiva was the name used by Marcgrave’s Amerindian hosts in 17th century Dutch Brazil, where local people spoke the now extinct language Tupí. The Tupí origin was not lost, however, until as recently as the 2000s. Herein, the pre- and post-Linnaean use of the name Ameiva is traced and when the name is attributed to the Tupí language and to Marcgrave through time it is noted. The opportunity to discover and/or recover etymological origins, especially names from extinct and indigenous languages, provides insight into the early Western sciences. Careful study of etymology by naturalists is consistent with the idea that science is an evolving process with many predecessors to appreciate. PMID:29674919

78 FR 37664 - Identification of Entities Pursuant to the Iranian Transactions and Sanctions Regulations and...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-06-21

... Control (``OFAC'') is publishing the names of 38 entities identified as the Government of Iran under the... Government of Iran and Iranian Financial Institutions'' (the ``Order''). Section 1(a) of the Order blocks, with certain exceptions, all property and interests in property of the Government of Iran, including...

A database of natural products and chemical entities from marine habitat

PubMed Central

Babu, Padavala Ajay; Puppala, Suma Sree; Aswini, Satyavarapu Lakshmi; Vani, Metta Ramya; Kumar, Chinta Narasimha; Prasanna, Tallapragada

2008-01-01

Marine compound database consists of marine natural products and chemical entities, collected from various literature sources, which are known to possess bioactivity against human diseases. The database is constructed using html code. The 12 categories of 182 compounds are provided with the source, compound name, 2-dimensional structure, bioactivity and clinical trial information. The database is freely available online and can be accessed at http://www.progenebio.in/mcdb/index.htm PMID:19238254

Principles and tools for collaborative entity-based intelligence analysis.

PubMed

Bier, Eric A; Card, Stuart K; Bodnar, John W

2010-01-01

Software tools that make it easier for analysts to collaborate as a natural part of their work will lead to better analysis that is informed by more perspectives. We are interested to know if software tools can be designed that support collaboration even as they allow analysts to find documents and organize information (including evidence, schemas, and hypotheses). We have modified the Entity Workspace system, described previously, to test such designs. We have evaluated the resulting design in both a laboratory study and a study where it is situated with an analysis team. In both cases, effects on collaboration appear to be positive. Key aspects of the design include an evidence notebook optimized for organizing entities (rather than text characters), information structures that can be collapsed and expanded, visualization of evidence that emphasizes events and documents (rather than emphasizing the entity graph), and a notification system that finds entities of mutual interest to multiple analysts. Long-term tests suggest that this approach can support both top-down and bottom-up styles of analysis.

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

Code of Federal Regulations, 2010 CFR

2010-04-01

... administering standards for entities providing child welfare services; or (b) A public entity (other than a... political subdivision, agency, or instrumentality thereof, that is responsible for licensing adoption agencies in a State and that has expertise in developing and administering standards for entities providing...

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

NASA Astrophysics Data System (ADS)

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.

Naming and recognizing famous faces in temporal lobe epilepsy.

PubMed

Glosser, G; Salvucci, A E; Chiaravalloti, N D

2003-07-08

To assess naming and recognition of faces of familiar famous people in patients with epilepsy before and after anterior temporal lobectomy (ATL). Color photographs of famous people were presented for naming and description to 63 patients with temporal lobe epilepsy (TLE) either before or after ATL and to 10 healthy age- and education-matched controls. Spontaneous naming of photographed famous people was impaired in all patient groups, but was most abnormal in patients who had undergone left ATL. When allowed to demonstrate knowledge of the famous faces through verbal descriptions, rather than naming, patients with left TLE, left ATL, and right TLE improved to normal levels, but patients with right ATL were still impaired, suggesting a new deficit in identifying famous faces. Naming of famous people was related to naming of other common objects, verbal memory, and perceptual discrimination of faces. Recognition of the identity of pictured famous people was more related to visuospatial perception and memory. Lesions in anterior regions of the right temporal lobe impair recognition of the identities of familiar faces, as well as the learning of new faces. Lesions in the left temporal lobe, especially in anterior regions, disrupt access to the names of known people, but do not affect recognition of the identities of famous faces. Results are consistent with the hypothesized role of lateralized anterior temporal lobe structures in facial recognition and naming of unique entities.

37 CFR 1.27 - Definition of small entities and establishing status as a small entity to permit payment of small...

Code of Federal Regulations, 2014 CFR

2014-07-01

... 37 Patents, Trademarks, and Copyrights 1 2014-07-01 2014-07-01 false Definition of small entities... are required; fraud on the Office. 1.27 Section 1.27 Patents, Trademarks, and Copyrights UNITED STATES PATENT AND TRADEMARK OFFICE, DEPARTMENT OF COMMERCE GENERAL RULES OF PRACTICE IN PATENT CASES General...

37 CFR 1.27 - Definition of small entities and establishing status as a small entity to permit payment of small...

Code of Federal Regulations, 2013 CFR

2013-07-01

... 37 Patents, Trademarks, and Copyrights 1 2013-07-01 2013-07-01 false Definition of small entities... are required; fraud on the Office. 1.27 Section 1.27 Patents, Trademarks, and Copyrights UNITED STATES PATENT AND TRADEMARK OFFICE, DEPARTMENT OF COMMERCE GENERAL RULES OF PRACTICE IN PATENT CASES General...

The American Way with Names.

ERIC Educational Resources Information Center

Van Buren, H.

1974-01-01

Americans tend to derive nicknames and more intimate affectionate nicknames from a person's formal first name; the type of name used depends on the social situation and the relationship between the two people. In many cases, for both masculine and feminine names, the nickname is derived from the first (or sometimes the second) syllable of the…

Evaluating Stream Filtering for Entity Profile Updates in TREC 2012, 2013, and 2014 (KBA Track Overview, Notebook Paper)

DTIC Science & Technology

2014-11-01

possible future directions that build on the KBA experience.   Data Assets   In addition to the three hundred run submissions from diverse systems...form name of an entity and assigning a confidence score based on the number of matches of tokens in the name. See code in github [6]. macro-P...131 64 GENDER 4 2 FoundedBy     56 30 NAME 2 2 DateOfDeath     54 12 TOP_MEMBERS_EMPLOYEES 2 1 EmployeeOf     44 19 WON_AWARD 1 1

31 CFR 575.303 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 575.303 Section 575.303 Money... CONTROL, DEPARTMENT OF THE TREASURY IRAQI SANCTIONS REGULATIONS General Definitions § 575.303 Entity. The term entity includes a corporation, partnership, association, or other organization. ...

7 CFR 1738.16 - Eligible entities.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 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 to provide, broadband services in eligible rural communities. (1) Types of eligible entities include...

7 CFR 1738.16 - Eligible entities.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 7 Agriculture 11 2011-01-01 2011-01-01 false Eligible entities. 1738.16 Section 1738.16... Eligible entities. (a) RUS makes broadband loans to legally organized entities providing, or proposing to provide, broadband services in eligible rural communities. (1) Types of eligible entities include...

7 CFR 63.4 - Eligible entity.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 7 Agriculture 3 2011-01-01 2011-01-01 false Eligible entity. 63.4 Section 63.4 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (Standards... IMPROVEMENT CENTER General Provisions Definitions § 63.4 Eligible entity. Eligible entity means an entity that...

31 CFR 551.303 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 551.303 Section 551.303 Money... CONTROL, DEPARTMENT OF THE TREASURY SOMALIA SANCTIONS REGULATIONS General Definitions § 551.303 Entity. The term entity means a partnership, association, trust, joint venture, corporation, group, subgroup...

31 CFR 537.304 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 537.304 Section 537.304 Money... CONTROL, DEPARTMENT OF THE TREASURY BURMESE SANCTIONS REGULATIONS General Definitions § 537.304 Entity. The term entity means a partnership, association, trust, joint venture, corporation, group, subgroup...

31 CFR 548.303 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 548.303 Section 548.303 Money... CONTROL, DEPARTMENT OF THE TREASURY BELARUS SANCTIONS REGULATIONS General Definitions § 548.303 Entity. The term entity means a partnership, association, trust, joint venture, corporation, group, subgroup...

31 CFR 551.303 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 551.303 Section 551.303 Money... CONTROL, DEPARTMENT OF THE TREASURY SOMALIA SANCTIONS REGULATIONS General Definitions § 551.303 Entity. The term entity means a partnership, association, trust, joint venture, corporation, group, subgroup...

31 CFR 538.303 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 538.303 Section 538.303 Money... CONTROL, DEPARTMENT OF THE TREASURY SUDANESE SANCTIONS REGULATIONS General Definitions § 538.303 Entity. The term entity means a partnership, association, trust, joint venture, corporation, or other...

31 CFR 538.303 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 538.303 Section 538.303 Money... CONTROL, DEPARTMENT OF THE TREASURY SUDANESE SANCTIONS REGULATIONS General Definitions § 538.303 Entity. The term entity means a partnership, association, trust, joint venture, corporation, or other...

31 CFR 536.303 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 536.303 Section 536.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS....303 Entity. The term entity means a partnership, association, corporation, or other organization...

31 CFR 595.303 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 595.303 Section 595.303 Money... CONTROL, DEPARTMENT OF THE TREASURY TERRORISM SANCTIONS REGULATIONS General Definitions § 595.303 Entity. The term entity means a partnership, association, corporation, or other organization, group or...

31 CFR 545.303 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 545.303 Section 545.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS....303 Entity. The term entity means a partnership, association, corporation, or other organization...

31 CFR 543.304 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 543.304 Section 543.304 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... Entity. The term entity means a partnership, association, trust, joint venture, corporation, group...

31 CFR 541.303 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 541.303 Section 541.303 Money... CONTROL, DEPARTMENT OF THE TREASURY ZIMBABWE SANCTIONS REGULATIONS General Definitions § 541.303 Entity. The term entity means a partnership, association, trust, joint venture, corporation, group, subgroup...

31 CFR 537.304 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 537.304 Section 537.304 Money... CONTROL, DEPARTMENT OF THE TREASURY BURMESE SANCTIONS REGULATIONS General Definitions § 537.304 Entity. The term entity means a partnership, association, trust, joint venture, corporation, group, subgroup...

31 CFR 536.303 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 536.303 Section 536.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS....303 Entity. The term entity means a partnership, association, corporation, or other organization...

31 CFR 595.303 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 595.303 Section 595.303 Money... CONTROL, DEPARTMENT OF THE TREASURY TERRORISM SANCTIONS REGULATIONS General Definitions § 595.303 Entity. The term entity means a partnership, association, corporation, or other organization, group or...

31 CFR 543.304 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 543.304 Section 543.304 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... Entity. The term entity means a partnership, association, trust, joint venture, corporation, group...

31 CFR 549.303 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 549.303 Section 549.303 Money... CONTROL, DEPARTMENT OF THE TREASURY LEBANON SANCTIONS REGULATIONS General Definitions § 549.303 Entity. The term entity means a partnership, association, trust, joint venture, corporation, group, subgroup...

31 CFR 548.303 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 548.303 Section 548.303 Money... CONTROL, DEPARTMENT OF THE TREASURY BELARUS SANCTIONS REGULATIONS General Definitions § 548.303 Entity. The term entity means a partnership, association, trust, joint venture, corporation, group, subgroup...

31 CFR 541.303 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 541.303 Section 541.303 Money... CONTROL, DEPARTMENT OF THE TREASURY ZIMBABWE SANCTIONS REGULATIONS General Definitions § 541.303 Entity. The term entity means a partnership, association, trust, joint venture, corporation, group, subgroup...

Cultural evolution: The case of babies’ first names

NASA Astrophysics Data System (ADS)

Xi, Ning; Zhang, Zi-Ke; Zhang, Yi-Cheng; Ge, Zehui; She, Li; Zhang, Kui

2014-07-01

In social sciences, there is currently rare consensus on the underlying mechanism for cultural evolution, partially due to lack of suitable data. The evolution of first names of newborn babies offers a remarkable example for such researches. In this paper, we employ the historical data on baby names from the United States to investigate the evolutionary process of culture, in particular focusing on how inequality among baby names changes over time. Then we propose a stochastic model where individual choice is determined by both individual preference and social influence, and show that the decrease in the strength of social influence can account for all the observed empirical features. Therefore, we claim that the weakening of social influence drives cultural evolution.

47 CFR 90.1103 - Designated entities.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 47 Telecommunication 5 2010-10-01 2010-10-01 false Designated entities. 90.1103 Section 90.1103... Designated entities. (a) This section addresses certain issues concerning designated entities in the Location... provisions. (1) A small business is an entity that, together with its affiliates and controlling interests...

47 CFR 90.1103 - Designated entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 47 Telecommunication 5 2011-10-01 2011-10-01 false Designated entities. 90.1103 Section 90.1103... Designated entities. (a) This section addresses certain issues concerning designated entities in the Location... provisions. (1) A small business is an entity that, together with its affiliates and controlling interests...

31 CFR 596.308 - Person; entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Person; entity. 596.308 Section 596... General Definitions § 596.308 Person; entity. (a) The term person means an individual or entity. (b) The term entity means a partnership, association, corporation, or other organization. ...

31 CFR 596.308 - Person; entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Person; entity. 596.308 Section 596... General Definitions § 596.308 Person; entity. (a) The term person means an individual or entity. (b) The term entity means a partnership, association, corporation, or other organization. ...

FamPlex: a resource for entity recognition and relationship resolution of human protein families and complexes in biomedical text mining.

PubMed

Bachman, John A; Gyori, Benjamin M; Sorger, Peter K

2018-06-28

For automated reading of scientific publications to extract useful information about molecular mechanisms it is critical that genes, proteins and other entities be correctly associated with uniform identifiers, a process known as named entity linking or "grounding." Correct grounding is essential for resolving relationships among mined information, curated interaction databases, and biological datasets. The accuracy of this process is largely dependent on the availability of machine-readable resources associating synonyms and abbreviations commonly found in biomedical literature with uniform identifiers. In a task involving automated reading of ∼215,000 articles using the REACH event extraction software we found that grounding was disproportionately inaccurate for multi-protein families (e.g., "AKT") and complexes with multiple subunits (e.g."NF- κB"). To address this problem we constructed FamPlex, a manually curated resource defining protein families and complexes as they are commonly encountered in biomedical text. In FamPlex the gene-level constituents of families and complexes are defined in a flexible format allowing for multi-level, hierarchical membership. To create FamPlex, text strings corresponding to entities were identified empirically from literature and linked manually to uniform identifiers; these identifiers were also mapped to equivalent entries in multiple related databases. FamPlex also includes curated prefix and suffix patterns that improve named entity recognition and event extraction. Evaluation of REACH extractions on a test corpus of ∼54,000 articles showed that FamPlex significantly increased grounding accuracy for families and complexes (from 15 to 71%). The hierarchical organization of entities in FamPlex also made it possible to integrate otherwise unconnected mechanistic information across families, subfamilies, and individual proteins. Applications of FamPlex to the TRIPS/DRUM reading system and the Biocreative VI Bioentity

31 CFR 544.303 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 544.303 Section 544.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... General Definitions § 544.303 Entity. The term entity means a partnership, association, trust, joint...

31 CFR 594.303 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 594.303 Section 594.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... Entity. The term entity means a partnership, association, corporation, or other organization, group, or...

31 CFR 594.303 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 594.303 Section 594.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... Entity. The term entity means a partnership, association, corporation, or other organization, group, or...

31 CFR 598.303 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 598.303 Section 598.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... § 598.303 Entity. The term entity means a partnership, joint venture, association, corporation...

31 CFR 542.303 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 542.303 Section 542.303 Money... CONTROL, DEPARTMENT OF THE TREASURY SYRIAN SANCTIONS REGULATIONS General Definitions § 542.303 Entity. The term entity means a partnership, association, trust, joint venture, corporation, group, subgroup, or...

31 CFR 592.303 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 592.303 Section 592.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... Entity. The term entity means a partnership, association, trust, joint venture, corporation, or other...

31 CFR 588.303 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 588.303 Section 588.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS....303 Entity. The term entity means a partnership, association, trust, joint venture, corporation, group...

31 CFR 561.316 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 561.316 Section 561.316 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... Entity. The term entity means a partnership, association, trust, joint venture, corporation, or other...

31 CFR 585.310 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 585.310 Section 585.310 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... Definitions § 585.310 Entity. The term entity includes a corporation, partnership, association, or other...

31 CFR 588.303 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 588.303 Section 588.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS....303 Entity. The term entity means a partnership, association, trust, joint venture, corporation, group...

31 CFR 587.303 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 587.303 Section 587.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... SANCTIONS REGULATIONS General Definitions § 587.303 Entity. The term entity means a partnership, association...

31 CFR 542.303 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 542.303 Section 542.303 Money... CONTROL, DEPARTMENT OF THE TREASURY SYRIAN SANCTIONS REGULATIONS General Definitions § 542.303 Entity. The term entity means a partnership, association, trust, joint venture, corporation, group, subgroup, or...

31 CFR 562.303 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 562.303 Section 562.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... § 562.303 Entity. The term entity means a partnership, association, trust, joint venture, corporation...

31 CFR 593.303 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 593.303 Section 593.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... Definitions § 593.303 Entity. The term entity means a partnership, association, trust, joint venture...

31 CFR 592.303 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 592.303 Section 592.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... Entity. The term entity means a partnership, association, trust, joint venture, corporation, or other...

31 CFR 586.303 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 586.303 Section 586.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... REGULATIONS General Definitions § 586.303 Entity. The term entity means a partnership, association, trust...

31 CFR 546.304 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 546.304 Section 546.304 Money... CONTROL, DEPARTMENT OF THE TREASURY DARFUR SANCTIONS REGULATIONS General Definitions § 546.304 Entity. The term entity means a partnership, association, trust, joint venture, corporation, group, subgroup, or...

31 CFR 597.306 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 597.306 Section 597.306 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... Definitions § 597.306 Entity. The term entity includes a partnership, association, corporation, or other...

31 CFR 539.303 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 539.303 Section 539.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... Definitions § 539.303 Entity. The term entity means a partnership, association, trust, joint venture...

31 CFR 544.303 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 544.303 Section 544.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... General Definitions § 544.303 Entity. The term entity means a partnership, association, trust, joint...

31 CFR 570.303 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 570.303 Section 570.303 Money... CONTROL, DEPARTMENT OF THE TREASURY LIBYAN SANCTIONS REGULATIONS General Definitions § 570.303 Entity. The term entity means a partnership, association, trust, joint venture, corporation, group, subgroup, or...

31 CFR 540.303 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 540.303 Section 540.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... General Definitions § 540.303 Entity. The term entity means a partnership, association, trust, joint...

31 CFR 597.306 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 597.306 Section 597.306 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... Definitions § 597.306 Entity. The term entity includes a partnership, association, corporation, or other...

31 CFR 540.303 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 540.303 Section 540.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... General Definitions § 540.303 Entity. The term entity means a partnership, association, trust, joint...

31 CFR 539.303 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 539.303 Section 539.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... Definitions § 539.303 Entity. The term entity means a partnership, association, trust, joint venture...

31 CFR 593.303 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 593.303 Section 593.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... Definitions § 593.303 Entity. The term entity means a partnership, association, trust, joint venture...

31 CFR 576.304 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 576.304 Section 576.304 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... Definitions § 576.304 Entity. The term entity means a partnership, association, trust, joint venture...

31 CFR 598.303 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 598.303 Section 598.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS... § 598.303 Entity. The term entity means a partnership, joint venture, association, corporation...

43 CFR 426.10 - Public entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 43 Public Lands: Interior 1 2011-10-01 2011-10-01 false Public entities. 426.10 Section 426.10... INTERIOR ACREAGE LIMITATION RULES AND REGULATIONS § 426.10 Public entities. (a) Application of the acreage limitation provisions to public entities. Reclamation does not subject public entities to the acreage...

43 CFR 426.10 - Public entities.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 43 Public Lands: Interior 1 2010-10-01 2010-10-01 false Public entities. 426.10 Section 426.10... INTERIOR ACREAGE LIMITATION RULES AND REGULATIONS § 426.10 Public entities. (a) Application of the acreage limitation provisions to public entities. Reclamation does not subject public entities to the acreage...

47 CFR 101.1429 - Designated entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 47 Telecommunication 5 2011-10-01 2011-10-01 false Designated entities. 101.1429 Section 101.1429... Designated entities. (a) Eligibility for small business provisions. (1) A very small business is an entity... exceeding $3 million for the preceding three years. (2) A small business is an entity that, together with...

Integrating Real World Entities into an Academic Curriculum

ERIC Educational Resources Information Center

Tompkins, Terrance; Schlesinger, Marc

2010-01-01

This research will demonstrate how an experiential learning practicum can be successfully implemented into an academic curriculum, using Drexel University's (Philadelphia, PA) award-winning student-run record label, MAD Dragon Records, as a case study. It will describe the components necessary to implement and operate a real-world entity within…

31 CFR 560.305 - Person; entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Person; entity. 560.305 Section 560.305 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF... § 560.305 Person; entity. (a) The term person means an individual or entity. (b) The term entity means a...

18 CFR 46.5 - Covered entities.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 18 Conservation of Power and Water Resources 1 2011-04-01 2011-04-01 false Covered entities. 46.5... FOR PERSONS HOLDING INTERLOCKING POSITIONS § 46.5 Covered entities. Entities to which the general rule..., or a savings and loan association; (b) Any entity which is authorized by law to underwrite or...

46 CFR 67.41 - Governmental entity.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 46 Shipping 2 2010-10-01 2010-10-01 false Governmental entity. 67.41 Section 67.41 Shipping COAST... DOCUMENTATION OF VESSELS Citizenship Requirements for Vessel Documentation § 67.41 Governmental entity. A governmental entity is a citizen for the purpose of obtaining a vessel document if it is an entity of the...

46 CFR 67.41 - Governmental entity.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 46 Shipping 2 2011-10-01 2011-10-01 false Governmental entity. 67.41 Section 67.41 Shipping COAST... DOCUMENTATION OF VESSELS Citizenship Requirements for Vessel Documentation § 67.41 Governmental entity. A governmental entity is a citizen for the purpose of obtaining a vessel document if it is an entity of the...

18 CFR 46.5 - Covered entities.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 18 Conservation of Power and Water Resources 1 2010-04-01 2010-04-01 false Covered entities. 46.5... FOR PERSONS HOLDING INTERLOCKING POSITIONS § 46.5 Covered entities. Entities to which the general rule..., or a savings and loan association; (b) Any entity which is authorized by law to underwrite or...

42 CFR 6.3 - Eligible entities.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 42 Public Health 1 2010-10-01 2010-10-01 false Eligible entities. 6.3 Section 6.3 Public Health... COVERAGE OF CERTAIN GRANTEES AND INDIVIDUALS § 6.3 Eligible entities. (a) Grantees. Entities eligible for coverage under this part are public and nonprofit private entities receiving Federal funds under any of the...

31 CFR 560.305 - Person; entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Person; entity. 560.305 Section 560.305 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF... § 560.305 Person; entity. (a) The term person means an individual or entity. (b) The term entity means a...

42 CFR 6.3 - Eligible entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 42 Public Health 1 2011-10-01 2011-10-01 false Eligible entities. 6.3 Section 6.3 Public Health... COVERAGE OF CERTAIN GRANTEES AND INDIVIDUALS § 6.3 Eligible entities. (a) Grantees. Entities eligible for coverage under this part are public and nonprofit private entities receiving Federal funds under any of the...

2 CFR 170.310 - Entity.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 2 Grants and Agreements 1 2013-01-01 2013-01-01 false Entity. 170.310 Section 170.310 Grants and Agreements Office of Management and Budget Guidance for Grants and Agreements OFFICE OF MANAGEMENT AND BUDGET... COMPENSATION INFORMATION Definitions § 170.310 Entity. Entity has the meaning given in 2 CFR part 25. ...

2 CFR 170.310 - Entity.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 2 Grants and Agreements 1 2014-01-01 2014-01-01 false Entity. 170.310 Section 170.310 Grants and Agreements Office of Management and Budget Guidance for Grants and Agreements OFFICE OF MANAGEMENT AND BUDGET... INFORMATION Definitions § 170.310 Entity. Entity has the meaning given in 2 CFR part 25. ...

2 CFR 170.310 - Entity.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 2 Grants and Agreements 1 2012-01-01 2012-01-01 false Entity. 170.310 Section 170.310 Grants and Agreements Office of Management and Budget Guidance for Grants and Agreements OFFICE OF MANAGEMENT AND BUDGET... COMPENSATION INFORMATION Definitions § 170.310 Entity. Entity has the meaning given in 2 CFR part 25. ...

2 CFR 170.310 - Entity.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 2 Grants and Agreements 1 2011-01-01 2011-01-01 false Entity. 170.310 Section 170.310 Grants and Agreements Office of Management and Budget Guidance for Grants and Agreements OFFICE OF MANAGEMENT AND BUDGET... INFORMATION Definitions § 170.310 Entity. Entity has the meaning given in 2 CFR part 25. ...

Cognitive components of picture naming.

PubMed

Johnson, C J; Paivio, A; Clark, J M

1996-07-01

A substantial research literature documents the effects of diverse item attributes, task conditions, and participant characteristics on the case of picture naming. The authors review what the research has revealed about 3 generally accepted stages of naming a pictured object: object identification, name activation, and response generation. They also show that dual coding theory gives a coherent and plausible account of these findings without positing amodal conceptual representations, and they identify issues and methods that may further advance the understanding of picture naming and related cognitive tasks.

31 CFR 800.212 - Foreign entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Foreign entity. 800.212 Section 800... TAKEOVERS BY FOREIGN PERSONS Definitions § 800.212 Foreign entity. (a) The term foreign entity means any... majority of the equity interest in such entity is ultimately owned by U.S. nationals is not a foreign...

2 CFR 25.320 - Entity.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 2 Grants and Agreements 1 2011-01-01 2011-01-01 false Entity. 25.320 Section 25.320 Grants and Agreements Office of Management and Budget Guidance for Grants and Agreements OFFICE OF MANAGEMENT AND BUDGET... CONTRACTOR REGISTRATION Definitions § 25.320 Entity. Entity, as it is used in this part, has the meaning...

Recurrent neural networks with specialized word embeddings for health-domain named-entity recognition.

PubMed

Jauregi Unanue, Iñigo; Zare Borzeshi, Ehsan; Piccardi, Massimo

2017-12-01

Previous state-of-the-art systems on Drug Name Recognition (DNR) and Clinical Concept Extraction (CCE) have focused on a combination of text "feature engineering" and conventional machine learning algorithms such as conditional random fields and support vector machines. However, developing good features is inherently heavily time-consuming. Conversely, more modern machine learning approaches such as recurrent neural networks (RNNs) have proved capable of automatically learning effective features from either random assignments or automated word "embeddings". (i) To create a highly accurate DNR and CCE system that avoids conventional, time-consuming feature engineering. (ii) To create richer, more specialized word embeddings by using health domain datasets such as MIMIC-III. (iii) To evaluate our systems over three contemporary datasets. Two deep learning methods, namely the Bidirectional LSTM and the Bidirectional LSTM-CRF, are evaluated. A CRF model is set as the baseline to compare the deep learning systems to a traditional machine learning approach. The same features are used for all the models. We have obtained the best results with the Bidirectional LSTM-CRF model, which has outperformed all previously proposed systems. The specialized embeddings have helped to cover unusual words in DrugBank and MedLine, but not in the i2b2/VA dataset. We present a state-of-the-art system for DNR and CCE. Automated word embeddings has allowed us to avoid costly feature engineering and achieve higher accuracy. Nevertheless, the embeddings need to be retrained over datasets that are adequate for the domain, in order to adequately cover the domain-specific vocabulary. Copyright © 2017 Elsevier Inc. All rights reserved.

Chemical name extraction based on automatic training data generation and rich feature set.

PubMed

Yan, Su; Spangler, W Scott; Chen, Ying

2013-01-01

The automation of extracting chemical names from text has significant value to biomedical and life science research. A major barrier in this task is the difficulty of getting a sizable and good quality data to train a reliable entity extraction model. Another difficulty is the selection of informative features of chemical names, since comprehensive domain knowledge on chemistry nomenclature is required. Leveraging random text generation techniques, we explore the idea of automatically creating training sets for the task of chemical name extraction. Assuming the availability of an incomplete list of chemical names, called a dictionary, we are able to generate well-controlled, random, yet realistic chemical-like training documents. We statistically analyze the construction of chemical names based on the incomplete dictionary, and propose a series of new features, without relying on any domain knowledge. Compared to state-of-the-art models learned from manually labeled data and domain knowledge, our solution shows better or comparable results in annotating real-world data with less human effort. Moreover, we report an interesting observation about the language for chemical names. That is, both the structural and semantic components of chemical names follow a Zipfian distribution, which resembles many natural languages.

15 CFR 19.10 - How will Commerce entities use administrative offset (offset of non-tax Federal payments) to...

Code of Federal Regulations, 2010 CFR

2010-01-01

... Program is not available or appropriate, Commerce entities may collect past-due, legally enforceable... review of the terms of repayment. In most cases, Commerce entities will provide the debtor with a “paper...

47 CFR 80.1252 - Designated entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 47 Telecommunication 5 2011-10-01 2011-10-01 false Designated entities. 80.1252 Section 80.1252... MARITIME SERVICES Competitive Bidding Procedures § 80.1252 Designated entities. (a) This section addresses certain issues concerning designated entities in maritime communications services subject to competitive...

47 CFR 80.1252 - Designated entities.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 47 Telecommunication 5 2010-10-01 2010-10-01 false Designated entities. 80.1252 Section 80.1252... MARITIME SERVICES Competitive Bidding Procedures § 80.1252 Designated entities. (a) This section addresses certain issues concerning designated entities in maritime communications services subject to competitive...

31 CFR 543.304 - Entity.

Code of Federal Regulations, 2012 CFR

2012-07-01

... CONTROL, DEPARTMENT OF THE TREASURY CôTE D'IVOIRE SANCTIONS REGULATIONS General Definitions § 543.304 Entity. The term entity means a partnership, association, trust, joint venture, corporation, group...

47 CFR 22.229 - Designated entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 47 Telecommunication 2 2011-10-01 2011-10-01 false Designated entities. 22.229 Section 22.229... Licensing Requirements and Procedures Competitive Bidding Procedures § 22.229 Designated entities. (a) Eligibility for small business provisions. (1) A very small business is an entity that, together with its...

47 CFR 24.321 - Designated entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 47 Telecommunication 2 2011-10-01 2011-10-01 false Designated entities. 24.321 Section 24.321... SERVICES Competitive Bidding Procedures for Narrowband PCS § 24.321 Designated entities. (a) Eligibility for small business provisions. (1) A small business is an entity that, together with its controlling...

47 CFR 22.882 - Designated entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 47 Telecommunication 2 2011-10-01 2011-10-01 false Designated entities. 22.882 Section 22.882...-Ground Radiotelephone Service Commercial Aviation Air-Ground Systems § 22.882 Designated entities. (a... business is an entity that, together with its affiliates, its controlling interests and the affiliates of...

47 CFR 27.1218 - Designated entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 47 Telecommunication 2 2011-10-01 2011-10-01 false Designated entities. 27.1218 Section 27.1218... COMMUNICATIONS SERVICES Broadband Radio Service and Educational Broadband Service § 27.1218 Designated entities. (a) Eligibility for small business provisions. (1) A small business is an entity that, together with...

47 CFR 24.321 - Designated entities.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 47 Telecommunication 2 2010-10-01 2010-10-01 false Designated entities. 24.321 Section 24.321... SERVICES Competitive Bidding Procedures for Narrowband PCS § 24.321 Designated entities. (a) Eligibility for small business provisions. (1) A small business is an entity that, together with its controlling...

Primary tubercular abscess of the breast--an unusual entity.

PubMed

Gupta, R; Singal, R P; Gupta, A; Singal, S; Shahi, S R; Singal, R

2012-02-22

Primary breast tuberculosis manifested as abscess is a rare entity. We are reporting a case of primary breast tuberculosis, which presented as breast abscess. Abscess was drained and tissue sent for histopathology. To our surprise, diagnosis came as breast tuberculosis. Aspiration cytology was not done, as it is not a routine test for abscess cases. Patient was put on anti- tubercular drugs. In the follow-up of 6 months, she was asymptomatic and advised to continue medicine.

47 CFR 101.538 - Designated entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 47 Telecommunication 5 2011-10-01 2011-10-01 false Designated entities. 101.538 Section 101.538... SERVICES 24 GHz Service and Digital Electronic Message Service § 101.538 Designated entities. (a) Eligibility for small business provisions. (1) A very small business is an entity that, together with its...

47 CFR 27.906 - Designated entities.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 47 Telecommunication 2 2010-10-01 2010-10-01 false Designated entities. 27.906 Section 27.906... COMMUNICATIONS SERVICES 1670-1675 MHz Band § 27.906 Designated entities. (a) Eligibility for small business provisions. (1) A very small business is an entity that, together with its controlling interests and...

46 CFR 403.110 - Accounting entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 46 Shipping 8 2011-10-01 2011-10-01 false Accounting entities. 403.110 Section 403.110 Shipping... ACCOUNTING SYSTEM General § 403.110 Accounting entities. Each Association shall be a separate accounting entity. However, the records shall be maintained with sufficient particularity to allocate items to each...

47 CFR 27.702 - Designated entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 47 Telecommunication 2 2011-10-01 2011-10-01 false Designated entities. 27.702 Section 27.702... COMMUNICATIONS SERVICES Competitive Bidding Procedures for the 698-746 MHz Band § 27.702 Designated entities. (a) Eligibility for small business provisions. (1) An entrepreneur is an entity that, together with its...

47 CFR 27.906 - Designated entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 47 Telecommunication 2 2011-10-01 2011-10-01 false Designated entities. 27.906 Section 27.906... COMMUNICATIONS SERVICES 1670-1675 MHz Band § 27.906 Designated entities. (a) Eligibility for small business provisions. (1) A very small business is an entity that, together with its controlling interests and...

47 CFR 22.223 - Designated entities.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 47 Telecommunication 2 2010-10-01 2010-10-01 false Designated entities. 22.223 Section 22.223... Licensing Requirements and Procedures Competitive Bidding Procedures § 22.223 Designated entities. (a) Scope... sections. (b) A small business is an entity that either: (1) Together with its affiliates and controlling...

47 CFR 22.223 - Designated entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 47 Telecommunication 2 2011-10-01 2011-10-01 false Designated entities. 22.223 Section 22.223... Licensing Requirements and Procedures Competitive Bidding Procedures § 22.223 Designated entities. (a) Scope... sections. (b) A small business is an entity that either: (1) Together with its affiliates and controlling...

Nevus trichilemmocysticus: report of a new case of a recently recognized entity.

PubMed

Larralde, Margarita; Boggio, Paula; Abad, María Eugenia; Corbella, Cristina; Happle, Rudolf

2011-01-01

A new type of organoid epidermal nevus, characterized by the presence of multiple trichilemmal cysts disposed in a linear arrangement, was recently recognized and named nevus trichilemmocysticus. We report a 10-year-old girl with a congenital linear dermatosis affecting the head, neck, trunk, limbs, palms, and soles. Initially, the lesions that followed the lines of Blaschko consisted of yellowish plaques covered by verrucous papules and filiform hyperkeratoses. Additionally, since the age of 6 years, numerous cyst-like structures developed on the linear lesions involving the limbs. On histopathological examination, all of the excised cystic lesions were found to be trichilemmal cysts. Hence, we herein describe a new case of nevus trichilemmocysticus. © 2010 Wiley Periodicals, Inc.

Applying Suffix Rules to Organization Name Recognition

NASA Astrophysics Data System (ADS)

Inui, Takashi; Murakami, Koji; Hashimoto, Taiichi; Utsumi, Kazuo; Ishikawa, Masamichi

This paper presents a method for boosting the performance of the organization name recognition, which is a part of named entity recognition (NER). Although gazetteers (lists of the NEs) have been known as one of the effective features for supervised machine learning approaches on the NER task, the previous methods which have applied the gazetteers to the NER were very simple. The gazetteers have been used just for searching the exact matches between input text and NEs included in them. The proposed method generates regular expression rules from gazetteers, and, with these rules, it can realize a high-coverage searches based on looser matches between input text and NEs. To generate these rules, we focus on the two well-known characteristics of NE expressions; 1) most of NE expressions can be divided into two parts, class-reference part and instance-reference part, 2) for most of NE expressions the class-reference parts are located at the suffix position of them. A pattern mining algorithm runs on the set of NEs in the gazetteers, and some frequent word sequences from which NEs are constructed are found. Then, we employ only word sequences which have the class-reference part at the suffix position as suffix rules. Experimental results showed that our proposed method improved the performance of the organization name recognition, and achieved the 84.58 F-value for evaluation data.

47 CFR 27.502 - Designated entities.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 47 Telecommunication 2 2010-10-01 2010-10-01 false Designated entities. 27.502 Section 27.502... COMMUNICATIONS SERVICES Competitive Bidding Procedures for the 698-806 MHz Band § 27.502 Designated entities. Eligibility for small business provisions: (a)(1) A small business is an entity that, together with its...

47 CFR 27.502 - Designated entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 47 Telecommunication 2 2011-10-01 2011-10-01 false Designated entities. 27.502 Section 27.502... COMMUNICATIONS SERVICES Competitive Bidding Procedures for the 698-806 MHz Band § 27.502 Designated entities. Eligibility for small business provisions: (a)(1) A small business is an entity that, together with its...

Evaluation Methods of The Text Entities

ERIC Educational Resources Information Center

Popa, Marius

2006-01-01

The paper highlights some evaluation methods to assess the quality characteristics of the text entities. The main concepts used in building and evaluation processes of the text entities are presented. Also, some aggregated metrics for orthogonality measurements are presented. The evaluation process for automatic evaluation of the text entities is…

47 CFR 101.1429 - Designated entities.

Code of Federal Regulations, 2012 CFR

2012-10-01

... Designated entities. (a) Eligibility for small business provisions. (1) A very small business is an entity... exceeding $3 million for the preceding three years. (2) A small business is an entity that, together with... three years. (b) Bidding credits. A winning bidder that qualifies as a very small business, as defined...

47 CFR 101.1429 - Designated entities.

Code of Federal Regulations, 2013 CFR

2013-10-01

... Designated entities. (a) Eligibility for small business provisions. (1) A very small business is an entity... exceeding $3 million for the preceding three years. (2) A small business is an entity that, together with... three years. (b) Bidding credits. A winning bidder that qualifies as a very small business, as defined...

47 CFR 101.1429 - Designated entities.

Code of Federal Regulations, 2014 CFR

2014-10-01

... Designated entities. (a) Eligibility for small business provisions. (1) A very small business is an entity... exceeding $3 million for the preceding three years. (2) A small business is an entity that, together with... three years. (b) Bidding credits. A winning bidder that qualifies as a very small business, as defined...

42 CFR 438.808 - Exclusion of entities.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 42 Public Health 4 2010-10-01 2010-10-01 false Exclusion of entities. 438.808 Section 438.808... Exclusion of entities. (a) General rule. FFP is available in payments under MCO contracts only if the State excludes from the contracts any entities described in paragraph (b) of this section. (b) Entities that must...

42 CFR 438.808 - Exclusion of entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 42 Public Health 4 2011-10-01 2011-10-01 false Exclusion of entities. 438.808 Section 438.808... Exclusion of entities. (a) General rule. FFP is available in payments under MCO contracts only if the State excludes from the contracts any entities described in paragraph (b) of this section. (b) Entities that must...

16 CFR 801.50 - Formation of unincorporated entities.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 16 Commercial Practices 1 2010-01-01 2010-01-01 false Formation of unincorporated entities. 801.50... of unincorporated entities. (a) In the formation of an unincorporated entity (other than in... entity and the unincorporated entity itself may, in the formation transaction, be both acquiring and...

16 CFR 801.50 - Formation of unincorporated entities.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 16 Commercial Practices 1 2011-01-01 2011-01-01 false Formation of unincorporated entities. 801.50... of unincorporated entities. (a) In the formation of an unincorporated entity (other than in... entity and the unincorporated entity itself may, in the formation transaction, be both acquiring and...

Entitymetrics: Measuring the Impact of Entities

PubMed Central

Ding, Ying; Song, Min; Han, Jia; Yu, Qi; Yan, Erjia; Lin, Lili; Chambers, Tamy

2013-01-01

This paper proposes entitymetrics to measure the impact of knowledge units. Entitymetrics highlight the importance of entities embedded in scientific literature for further knowledge discovery. In this paper, we use Metformin, a drug for diabetes, as an example to form an entity-entity citation network based on literature related to Metformin. We then calculate the network features and compare the centrality ranks of biological entities with results from Comparative Toxicogenomics Database (CTD). The comparison demonstrates the usefulness of entitymetrics to detect most of the outstanding interactions manually curated in CTD. PMID:24009660

47 CFR 27.807 - Designated entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 47 Telecommunication 2 2011-10-01 2011-10-01 false Designated entities. 27.807 Section 27.807... COMMUNICATIONS SERVICES 1.4 GHz Band § 27.807 Designated entities. (a) Eligibility for small business provisions...-1392 MHz band. (1) A very small business is an entity that, together with its controlling interests and...

47 CFR 27.807 - Designated entities.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 47 Telecommunication 2 2010-10-01 2010-10-01 false Designated entities. 27.807 Section 27.807... COMMUNICATIONS SERVICES 1.4 GHz Band § 27.807 Designated entities. (a) Eligibility for small business provisions...-1392 MHz band. (1) A very small business is an entity that, together with its controlling interests and...

Cutaneous silica granuloma. A rare entity or rarely diagnosed Report of two cases with review of the literature

DOE Office of Scientific and Technical Information (OSTI.GOV)

Mowry, R.G.; Sams, W.M. Jr.; Caulfield, J.B.

1991-05-01

Cutaneous silica granuloma is a poorly understood, uncommon condition that may mimic cutaneous sarcoidosis. We describe two cases of this entity and their characteristic latency period (between the time of silica exposure to the time of clinical onset of granuloma). We also review the histologic and energy dispersive x-ray analysis data, which prove the diagnosis. This condition should be recognized as an occupational dermatosis as well as the result of past incidental cuts or abrasions, which result in the development of granulomas, many in old wound scars. Differentiation from cutaneous sarcoidosis is possible with polarized light microscopy and energy-dispersive x-raymore » analysis.15 references.« less

Semantic Entity Pairing for Improved Data Validation and Discovery

NASA Astrophysics Data System (ADS)

Shepherd, Adam; Chandler, Cyndy; Arko, Robert; Chen, Yanning; Krisnadhi, Adila; Hitzler, Pascal; Narock, Tom; Groman, Robert; Rauch, Shannon

2014-05-01

One of the central incentives for linked data implementations is the opportunity to leverage the rich logic inherent in structured data. The logic embedded in semantic models can strengthen capabilities for data discovery and data validation when pairing entities from distinct, contextually-related datasets. The creation of links between the two datasets broadens data discovery by using the semantic logic to help machines compare similar entities and properties that exist on different levels of granularity. This semantic capability enables appropriate entity pairing without making inaccurate assertions as to the nature of the relationship. Entity pairing also provides a context to accurately validate the correctness of an entity's property values - an exercise highly valued by data management practices who seek to ensure the quality and correctness of their data. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) semantically models metadata surrounding oceanographic researchcruises, but other sources outside of BCO-DMO exist that also model metadata about these same cruises. For BCO-DMO, the process of successfully pairing its entities to these sources begins by selecting sources that are decidedly trustworthy and authoritative for the modeled concepts. In this case, the Rolling Deck to Repository (R2R) program has a well-respected reputation among the oceanographic research community, presents a data context that is uniquely different and valuable, and semantically models its cruise metadata. Where BCO-DMO exposes the processed, analyzed data products generated by researchers, R2R exposes the raw shipboard data that was collected on the same research cruises. Interlinking these cruise entities expands data discovery capabilities but also allows for validating the contextual correctness of both BCO-DMO's and R2R's cruise metadata. Assessing the potential for a link between two datasets for a similar entity consists of aligning like

Pleuroperitoneal Mesothelioma: A Rare Entity on 18F-FDG PET/CT

PubMed Central

Sahoo, Manas Kumar; Mukherjee, Anirban; Girish; Parida, Kumar; Agarwal, Krishan Kant; Bal, Chandrasekhar; Tripathi, Madhavi; Das, Chandan Jyoti; Shamim, Shamim Ahmed

2017-01-01

Pleuroperitoneal mesothelioma is an extremely rare entity. Only few cases are reported worldwide. We hereby represent a case of pleural mesothelioma referred for F-18-Fluorodeoxyglucose positron emission tomography/computed tomography for response evaluation. Diffuse F-18-Fluorodeoxyglucose avid peritoneal and omental thickening noted which subsequently turned out to be mesothelial involvement on peritoneal biopsy. This case demonstrates the role of F-18-Fluorodeoxyglucose positron emission tomography/computed tomography in detecting other sites of involvement in case of malignant mesothelioma. PMID:28242997

42 CFR 425.104 - Legal entity.

Code of Federal Regulations, 2012 CFR

2012-10-01

... 42 Public Health 3 2012-10-01 2012-10-01 false Legal entity. 425.104 Section 425.104 Public Health....104 Legal entity. (a) An ACO must be a legal entity, formed under applicable State, Federal, or Tribal... in this part. (b) An ACO formed by two or more otherwise independent ACO participants must be a legal...

42 CFR 425.104 - Legal entity.

Code of Federal Regulations, 2014 CFR

2014-10-01

... 42 Public Health 3 2014-10-01 2014-10-01 false Legal entity. 425.104 Section 425.104 Public Health....104 Legal entity. (a) An ACO must be a legal entity, formed under applicable State, Federal, or Tribal... in this part. (b) An ACO formed by two or more otherwise independent ACO participants must be a legal...

42 CFR 425.104 - Legal entity.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 42 Public Health 3 2013-10-01 2013-10-01 false Legal entity. 425.104 Section 425.104 Public Health....104 Legal entity. (a) An ACO must be a legal entity, formed under applicable State, Federal, or Tribal... in this part. (b) An ACO formed by two or more otherwise independent ACO participants must be a legal...

CNN-based ranking for biomedical entity normalization.

PubMed

Li, Haodi; Chen, Qingcai; Tang, Buzhou; Wang, Xiaolong; Xu, Hua; Wang, Baohua; Huang, Dong

2017-10-03

Most state-of-the-art biomedical entity normalization systems, such as rule-based systems, merely rely on morphological information of entity mentions, but rarely consider their semantic information. In this paper, we introduce a novel convolutional neural network (CNN) architecture that regards biomedical entity normalization as a ranking problem and benefits from semantic information of biomedical entities. The CNN-based ranking method first generates candidates using handcrafted rules, and then ranks the candidates according to their semantic information modeled by CNN as well as their morphological information. Experiments on two benchmark datasets for biomedical entity normalization show that our proposed CNN-based ranking method outperforms traditional rule-based method with state-of-the-art performance. We propose a CNN architecture that regards biomedical entity normalization as a ranking problem. Comparison results show that semantic information is beneficial to biomedical entity normalization and can be well combined with morphological information in our CNN architecture for further improvement.

How brand names are special: brands, words, and hemispheres.

PubMed

Gontijo, Possidonia F D; Rayman, Janice; Zhang, Shi; Zaidel, Eran

2002-09-01

Previous research has consistently shown differences between the processing of proper names and of common nouns, leading to the belief that proper names possess a special neuropsychological status. We investigate the category of brand names and suggest that brand names also have a special neuropsychological status, but one which is different from proper names. The findings suggest that the hemispheric lexical status of the brand names is mixed--they behave like words in some respects and like nonwords in others. Our study used familiar upper case brand names, common nouns, and two different types of nonwords ("weird" and "normal") differing in length, as stimuli in a lateralized lexical decision task (LDT). Common nouns, brand names, weird nonwords, and normal nonwords were recognized in that decreasing order of speed and accuracy. A right visual field (RVF) advantage was found for all four lexical types. Interestingly, brand names, similar to nonwords, were found to be less lateralized than common nouns, consistent with theories of category-specific lexical processing. Further, brand names were the only type of lexical items to show a capitalization effect: brand names were recognized faster when they were presented in upper case than in lower case. In addition, while string length affected the recognition of common nouns only in the left visual field (LVF) and the recognition of nonwords only in the RVF, brand names behaved like common nouns in exhibiting length effects only in the LVF. Copyright 2002 Elsevier Science (USA)

Navy Ship Names: Background for Congress

DTIC Science & Technology

2016-09-14

Secretary considers these nominations , along with others he receives as well as his own thoughts in this matter. At appropriate times, he selects names...Research Service 16 “ nomination ” process is often fiercely contested as differing groups make the case that “their” ship name is the most fitting...and practices of the Navy for naming vessels of the Navy, and an explanation for such variances;  Assesses the feasibility and advisability of

Case studies in nanny state name-calling: what can we learn?

PubMed

Magnusson, R S

2015-08-01

The 'nanny state' has become a popular metaphor in debates about public health regulation. It fulfils a particular role in that debate: to caution government against taking action. This paper presents case studies of nanny state criticisms, using them to identify a series of contextual features that may assist in better understanding, evaluating and where appropriate, resisting the rhetorical force of nanny state criticisms. The case studies presented include Rush Limbaugh's reactions to Michelle Obama's efforts to encourage American food companies to market healthier food to children; Christopher Hitchens' critique of New York City Mayor Michael Bloomberg's public health policies; and the reaction of neoliberal think tanks to Australia's plain tobacco packaging legislation. These case studies do not provide a basis for making generalisations about the practice of 'nanny state name-calling'. Nor do they preclude debate about the appropriate limits of government action. However, in appropriate cases they may assist policy-makers and public health advocates to contest the framing of public health interventions as unwarranted incursions into the private lives of individuals. One important lesson from these case studies is that the principal concern of nanny state critics is not loss of freedom as such, but the role of the state. The nanny state critique is ultimately a call for the state to be agnostic about the health of citizens, allowing market forces to dominate. Although the nanny state critique is not new, it is a significant challenge to government efforts to address lifestyle-influenced risk factors for non-communicable diseases, including tobacco use, harmful use of alcohol, and unhealthy diet. Copyright © 2015 The Author. Published by Elsevier Ltd.. All rights reserved.

Use of Time-Aware Language Model in Entity Driven Filtering System

DTIC Science & Technology

2014-11-01

knowledge graph explo- ration. In the case where no Wikipedia page were found for an entity, the set remains empty; - a set of surface forms found using...Interna- tional Conference on Weblogs and Social Media, Barcelona, Catalonia , Spain, July 17-21, 2011.

76 FR 78146 - Addition of Certain Persons to the Entity List; and Implementation of Entity List Annual Review...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-12-16

... of the annual review, and revises the entry concerning one person located in Malaysia to add an... Entity List. This rule implements the results of the annual review for entities located in Malaysia... during the annual review, this rule amends one entry currently on the Entity List under Malaysia by...

49 CFR Appendix C to Part 209 - FRA's Policy Statement Concerning Small Entities

Code of Federal Regulations, 2012 CFR

2012-10-01

... to pay the assessment; the impacts an assessment might exact on the entity's continued business; and... factors in communications with FRA concerning civil penalty cases. Long-term solutions to compliance...

49 CFR Appendix C to Part 209 - FRA's Policy Statement Concerning Small Entities

Code of Federal Regulations, 2013 CFR

2013-10-01

... to pay the assessment; the impacts an assessment might exact on the entity's continued business; and... factors in communications with FRA concerning civil penalty cases. Long-term solutions to compliance...

49 CFR Appendix C to Part 209 - FRA's Policy Statement Concerning Small Entities

Code of Federal Regulations, 2011 CFR

2011-10-01

... to pay the assessment; the impacts an assessment might exact on the entity's continued business; and... factors in communications with FRA concerning civil penalty cases. Long-term solutions to compliance...

Naming, blaming and shaming?

PubMed

Bismark, M; Paterson, R

2006-03-01

Few doctors at the centre of complaints or disciplinary proceedings wish to be publicly named. Publication of a doctor's name can adversely affect his or her reputation, patients, and family members, even if the allegation is ultimately not upheld. Yet, there is a strong public interest in freedom of speech and transparency of complaints and disciplinary processes. In determining whether to grant name suppression, complaints agencies and disciplinary tribunals are required to balance competing public and private interests. In New Zealand, the Health and Disability Commissioner has responsibility for investigating complaints about the quality of medical care. The Commissioner's current practice is not to publicly name doctors under investigation, or even those who are found to have breached a patient's rights. This approach fits well the non-punitive, rehabilitative focus of New Zealand's medical regulatory system. In the rare cases where a matter reaches the threshold for disciplinary action, the balance tips in favour of disclosure.

Leveraging Pattern Semantics for Extracting Entities in Enterprises.

PubMed

Tao, Fangbo; Zhao, Bo; Fuxman, Ariel; Li, Yang; Han, Jiawei

2015-05-01

Entity Extraction is a process of identifying meaningful entities from text documents. In enterprises, extracting entities improves enterprise efficiency by facilitating numerous applications, including search, recommendation, etc. However, the problem is particularly challenging on enterprise domains due to several reasons. First, the lack of redundancy of enterprise entities makes previous web-based systems like NELL and OpenIE not effective, since using only high-precision/low-recall patterns like those systems would miss the majority of sparse enterprise entities, while using more low-precision patterns in sparse setting also introduces noise drastically. Second, semantic drift is common in enterprises ("Blue" refers to "Windows Blue"), such that public signals from the web cannot be directly applied on entities. Moreover, many internal entities never appear on the web. Sparse internal signals are the only source for discovering them. To address these challenges, we propose an end-to-end framework for extracting entities in enterprises, taking the input of enterprise corpus and limited seeds to generate a high-quality entity collection as output. We introduce the novel concept of Semantic Pattern Graph to leverage public signals to understand the underlying semantics of lexical patterns, reinforce pattern evaluation using mined semantics, and yield more accurate and complete entities. Experiments on Microsoft enterprise data show the effectiveness of our approach.

77 FR 31843 - Unnamed Entity

Federal Register 2010, 2011, 2012, 2013, 2014

2012-05-30

... DEPARTMENT OF ENERGY Federal Energy Regulatory Commission [Docket No. EL12-70-000] Unnamed Entity v. California Independent System Operator Corp.; Notice of Complaint Take notice that on May 21... Commission's Rules of Practice and Procedure, 18 CFR part 206, Unnamed Entity (Complainant) filed a formal...

45 CFR 160.310 - Responsibilities of covered entities.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 45 Public Welfare 1 2010-10-01 2010-10-01 false Responsibilities of covered entities. 160.310... Responsibilities of covered entities. (a) Provide records and compliance reports. A covered entity must keep such... entity has complied or is complying with the applicable administrative simplification provisions. (b...

22 CFR 96.103 - Oversight by accrediting entities.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 22 Foreign Relations 1 2011-04-01 2011-04-01 false Oversight by accrediting entities. 96.103... Relating to Temporary Accreditation § 96.103 Oversight by accrediting entities. (a) The accrediting entity... agency's application for full accreditation when it is filed. The accrediting entity must also...

22 CFR 96.103 - Oversight by accrediting entities.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 22 Foreign Relations 1 2010-04-01 2010-04-01 false Oversight by accrediting entities. 96.103... Relating to Temporary Accreditation § 96.103 Oversight by accrediting entities. (a) The accrediting entity... agency's application for full accreditation when it is filed. The accrediting entity must also...

45 CFR 160.310 - Responsibilities of covered entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 45 Public Welfare 1 2011-10-01 2011-10-01 false Responsibilities of covered entities. 160.310... Responsibilities of covered entities. (a) Provide records and compliance reports. A covered entity must keep such... entity has complied or is complying with the applicable administrative simplification provisions. (b...

Primary tubercular abscess of the breast – an unusual entity

PubMed Central

Gupta, R; Singal, RP; Gupta, A; Singal, S; Shahi, SR; Singal, R

2012-01-01

Primary breast tuberculosis manifested as abscess is a rare entity. We are reporting a case of primary breast tuberculosis, which presented as breast abscess. Abscess was drained and tissue sent for histopathology. To our surprise, diagnosis came as breast tuberculosis. Aspiration cytology was not done, as it is not a routine test for abscess cases. Patient was put on anti- tubercular drugs. In the follow-up of 6 months, she was asymptomatic and advised to continue medicine. PMID:22574095

Asymptotic properties of restricted naming games

NASA Astrophysics Data System (ADS)

Bhattacherjee, Biplab; Datta, Amitava; Manna, S. S.

2017-07-01

Asymptotic properties of the symmetric and asymmetric naming games have been studied under some restrictions in a community of agents. In one version, the vocabulary sizes of the agents are restricted to finite capacities. In this case, compared to the original naming games, the dynamics takes much longer time for achieving the consensus. In the second version, the symmetric game starts with a limited number of distinct names distributed among the agents. Three different quantities are measured for a quantitative comparison, namely, the maximum value of the total number of names in the community, the time at which the community attains the maximal number of names, and the global convergence time. Using an extensive numerical study, the entire set of three power law exponents characterizing these quantities are estimated for both the versions which are observed to be distinctly different from their counter parts of the original naming games.

Lichen planus hypertrophicus of the vulva - a rare entity.

PubMed

Job, Anupa Mary; Kaimal, Sowmya

2017-09-01

Vulvovaginal lichen planus is a type of chronic inflammatory dermatosis of the vulva, usually seen as a part of widespread lichen planus. The common clinical types of vulval lichen planus include papulosquamous, erosive and pigmented types. Hypertrophic lichen planus of the vulva is a rare entity. We report a case of hypertrophic lichen planus of the vulva which clinically simulated genital warts.

Question mark ears, temporo-mandibular joint malformation and hypotonia: auriculo-condylar syndrome or a distinct entity?

PubMed

Priolo, M; Lerone, M; Rosaia, L; Calcagno, E P; Sadeghi, A K; Ghezzi, F; Ravazzolo, R; Silengo, M

2000-10-01

We report a boy with prominent, peculiarly malformed ears, abnormality of the ramus of the mandible and hypotonia. An isolated peculiar bilateral ear deformity named 'question mark ear' has been delineated in plastic reconstruction surgery reviews [Cosman et al., 1970 Plast Reconstr Surg 46:454-457; Cosman (1984) Plast Reconstr Surg 73:572-576; Takato et al. (1989) Ann Plast Surg 22:69-73; Brodovsky (1997) Plast Reconstr Surg 100:1254-1257; Park (1998) Plast Reconstr Surg 101:1620-1623; Al-Quattan (1998) Plast Reconstr Surg 102:439-441] and a similar deformity of the ear and changes in the temporo-mandibular joint and condyle has been described by Jampol et al. [(1998) Am J Med Genet 75:449-452] and by Guion-Almeida et al. [(1999) Am J Med Genet 86:130-133]. The present case may be the third description of this malformation complex with additional clinical features characterized by hypotonia and mild developmental delay, or possibly a new distinct entity.

31 CFR 546.304 - Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 546.304 Section 546.304 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY DARFUR SANCTIONS REGULATIONS General Definitions § 546.304 Entity. The...

31 CFR 510.303 - Entity.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 31 Money and Finance:Treasury 3 2013-07-01 2013-07-01 false Entity. 510.303 Section 510.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY NORTH KOREA SANCTIONS REGULATIONS General Definitions § 510.303 Entity...

31 CFR 510.303 - Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Entity. 510.303 Section 510.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY NORTH KOREA SANCTIONS REGULATIONS General Definitions § 510.303 Entity...

31 CFR 510.303 - Entity.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 31 Money and Finance:Treasury 3 2014-07-01 2014-07-01 false Entity. 510.303 Section 510.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY NORTH KOREA SANCTIONS REGULATIONS General Definitions § 510.303 Entity...

31 CFR 510.303 - Entity.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 31 Money and Finance:Treasury 3 2012-07-01 2012-07-01 false Entity. 510.303 Section 510.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY NORTH KOREA SANCTIONS REGULATIONS General Definitions § 510.303 Entity...

45 CFR 162.923 - Requirements for covered entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 45 Public Welfare 1 2011-10-01 2011-10-01 false Requirements for covered entities. 162.923 Section... Requirements for covered entities. (a) General rule. Except as otherwise provided in this part, if a covered entity conducts, with another covered entity that is required to comply with a transaction standard...

45 CFR 150.307 - Notice to responsible entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 45 Public Welfare 1 2011-10-01 2011-10-01 false Notice to responsible entities. 150.307 Section... and Non-Federal Governmental Plans-Civil Money Penalties § 150.307 Notice to responsible entities. If... responsible entity or entities identified under § 150.305. The notice does the following: (a) Describes the...

45 CFR 162.923 - Requirements for covered entities.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 45 Public Welfare 1 2010-10-01 2010-10-01 false Requirements for covered entities. 162.923 Section... Requirements for covered entities. (a) General rule. Except as otherwise provided in this part, if a covered entity conducts, with another covered entity that is required to comply with a transaction standard...

45 CFR 150.307 - Notice to responsible entities.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 45 Public Welfare 1 2010-10-01 2010-10-01 false Notice to responsible entities. 150.307 Section... and Non-Federal Governmental Plans-Civil Money Penalties § 150.307 Notice to responsible entities. If... responsible entity or entities identified under § 150.305. The notice does the following: (a) Describes the...

12 CFR 1237.10 - Limited-life regulated entities.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 12 Banks and Banking 10 2014-01-01 2014-01-01 false Limited-life regulated entities. 1237.10... RECEIVERSHIP Limited-Life Regulated Entities § 1237.10 Limited-life regulated entities. (a) Status. The United... liquidity portfolio of a limited-life regulated entity. (c) Policies and procedures. The Agency may draft...

12 CFR 1237.10 - Limited-life regulated entities.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 12 Banks and Banking 9 2013-01-01 2013-01-01 false Limited-life regulated entities. 1237.10... RECEIVERSHIP Limited-Life Regulated Entities § 1237.10 Limited-life regulated entities. (a) Status. The United... liquidity portfolio of a limited-life regulated entity. (c) Policies and procedures. The Agency may draft...

12 CFR 1237.10 - Limited-life regulated entities.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 12 Banks and Banking 9 2012-01-01 2012-01-01 false Limited-life regulated entities. 1237.10... RECEIVERSHIP Limited-Life Regulated Entities § 1237.10 Limited-life regulated entities. (a) Status. The United... liquidity portfolio of a limited-life regulated entity. (c) Policies and procedures. The Agency may draft...

Survey-based naming conventions for use in OBO Foundry ontology development

PubMed Central

Schober, Daniel; Smith, Barry; Lewis, Suzanna E; Kusnierczyk, Waclaw; Lomax, Jane; Mungall, Chris; Taylor, Chris F; Rocca-Serra, Philippe; Sansone, Susanna-Assunta

2009-01-01

Background A wide variety of ontologies relevant to the biological and medical domains are available through the OBO Foundry portal, and their number is growing rapidly. Integration of these ontologies, while requiring considerable effort, is extremely desirable. However, heterogeneities in format and style pose serious obstacles to such integration. In particular, inconsistencies in naming conventions can impair the readability and navigability of ontology class hierarchies, and hinder their alignment and integration. While other sources of diversity are tremendously complex and challenging, agreeing a set of common naming conventions is an achievable goal, particularly if those conventions are based on lessons drawn from pooled practical experience and surveys of community opinion. Results We summarize a review of existing naming conventions and highlight certain disadvantages with respect to general applicability in the biological domain. We also present the results of a survey carried out to establish which naming conventions are currently employed by OBO Foundry ontologies and to determine what their special requirements regarding the naming of entities might be. Lastly, we propose an initial set of typographic, syntactic and semantic conventions for labelling classes in OBO Foundry ontologies. Conclusion Adherence to common naming conventions is more than just a matter of aesthetics. Such conventions provide guidance to ontology creators, help developers avoid flaws and inaccuracies when editing, and especially when interlinking, ontologies. Common naming conventions will also assist consumers of ontologies to more readily understand what meanings were intended by the authors of ontologies used in annotating bodies of data. PMID:19397794

Leveraging Pattern Semantics for Extracting Entities in Enterprises

PubMed Central

Tao, Fangbo; Zhao, Bo; Fuxman, Ariel; Li, Yang; Han, Jiawei

2015-01-01

Entity Extraction is a process of identifying meaningful entities from text documents. In enterprises, extracting entities improves enterprise efficiency by facilitating numerous applications, including search, recommendation, etc. However, the problem is particularly challenging on enterprise domains due to several reasons. First, the lack of redundancy of enterprise entities makes previous web-based systems like NELL and OpenIE not effective, since using only high-precision/low-recall patterns like those systems would miss the majority of sparse enterprise entities, while using more low-precision patterns in sparse setting also introduces noise drastically. Second, semantic drift is common in enterprises (“Blue” refers to “Windows Blue”), such that public signals from the web cannot be directly applied on entities. Moreover, many internal entities never appear on the web. Sparse internal signals are the only source for discovering them. To address these challenges, we propose an end-to-end framework for extracting entities in enterprises, taking the input of enterprise corpus and limited seeds to generate a high-quality entity collection as output. We introduce the novel concept of Semantic Pattern Graph to leverage public signals to understand the underlying semantics of lexical patterns, reinforce pattern evaluation using mined semantics, and yield more accurate and complete entities. Experiments on Microsoft enterprise data show the effectiveness of our approach. PMID:26705540

31 CFR 5.11 - How will Treasury entities use tax refund offset to collect a Treasury debt?

Code of Federal Regulations, 2010 CFR

2010-07-01

... Treasury entities use tax refund offset to collect a Treasury debt? (a) Tax refund offset. In most cases... Treasury Offset Program any past-due, legally enforceable debt for collection by tax refund offset. See 26... 31 Money and Finance: Treasury 1 2010-07-01 2010-07-01 false How will Treasury entities use tax...

[A review on urban metabolism research based on physical space entities for environmental management].

PubMed

Liu, Ye; Liu, Dan

2015-07-01

Urban metabolism is a basic theory for coping with global environmental problems, which is coherent with the aims of national environmental management. This paper analyzed the concept of urban metabolism, and pointed out the meaning for urban metabolism in physical space entities; reviewed the current methods for urban metabolism and its merits and shortages; analyzed the system boundaries, connotation, and methodologies; and summarized the advances on urban meta-bolism practices in physical space entities. At last, we made conclusions that there were shortages, including conception system, basic theory system, and interdisciplinary integrated theory system in current urban metabolism research, and the current cases studied in urban metabolism were limited and not suitable to the harmony development between society, economy, and environment. In the future, we need to strengthen comparison between different case studies from different countries, develop the prior modes of typical urban metabolism research, identify the mechanism for urban ecosystem, and strengthen the spatial decision support system of environmental management taking urban spatial entity spaces as units.

22 CFR 96.8 - Fees charged by accrediting entities.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 22 Foreign Relations 1 2010-04-01 2010-04-01 false Fees charged by accrediting entities. 96.8... Duties of Accrediting Entities § 96.8 Fees charged by accrediting entities. (a) An accrediting entity may... fees approved by the Secretary. Before approving a schedule of fees proposed by an accrediting entity...

Congenital hernia of cord: an often misdiagnosed entity

PubMed Central

Raju, Rubin; Satti, Mohamed; Lee, Quoc; Vettraino, Ivana

2015-01-01

Congenital hernia of the cord, also known as umbilical cord hernia, is an often misdiagnosed and under-reported entity, easily confused with a small omphalocele. It is different from postnatally diagnosed umbilical hernias and is believed to arise from persistent physiological mid-gut herniation. Its incidence is estimated to be 1 in 5000. Unlike an omphalocele, it is considered benign and is not linked with chromosomal anomalies. It has been loosely associated with intestinal anomalies, suggesting the need for a complete fetal anatomical ultrasound evaluation. We present a case of a fetal umbilical cord hernia diagnosed in a 28-year-old woman at 21 weeks gestation. The antenatal and intrapartum courses were uncomplicated. It was misdiagnosed postnatally as a small omphalocele, causing unwarranted anxiety in the parents. Increased awareness and knowledge of such an entity among health professionals is important to prevent unwarranted anxiety from misdiagnosis, and inadvertent bowel injury during cord clamping at delivery. PMID:25899514

42 CFR 417.484 - Requirement applicable to related entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 42 Public Health 3 2011-10-01 2011-10-01 false Requirement applicable to related entities. 417.484... entities. (a) Definition. As used in this section, related entity means any entity that is related to the... agrees to require all related entities to agree that— (1) HHS, the Comptroller General, or their...

42 CFR 417.484 - Requirement applicable to related entities.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 42 Public Health 3 2010-10-01 2010-10-01 false Requirement applicable to related entities. 417.484... entities. (a) Definition. As used in this section, related entity means any entity that is related to the... agrees to require all related entities to agree that— (1) HHS, the Comptroller General, or their...

17 CFR 45.6 - Legal entity identifiers

Code of Federal Regulations, 2014 CFR

2014-04-01

... 17 Commodity and Securities Exchanges 2 2014-04-01 2014-04-01 false Legal entity identifiers 45.6... RECORDKEEPING AND REPORTING REQUIREMENTS § 45.6 Legal entity identifiers Each counterparty to any swap subject... reporting pursuant to this part by means of a single legal entity identifier as specified in this section...

31 CFR 535.301 - Iran; Iranian Entity.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Iran; Iranian Entity. 535.301 Section 535.301 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF... § 535.301 Iran; Iranian Entity. (a) The term Iran and Iranian Entity includes: (1) The state and the...

31 CFR 535.301 - Iran; Iranian Entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Iran; Iranian Entity. 535.301 Section 535.301 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF... § 535.301 Iran; Iranian Entity. (a) The term Iran and Iranian Entity includes: (1) The state and the...

Wolf in Sheep's Clothing: Primary Lung Cancer Mimicking Benign Entities.

PubMed

Snoeckx, Annemie; Dendooven, Amélie; Carp, Laurens; Desbuquoit, Damien; Spinhoven, Maarten J; Lauwers, Patrick; Van Schil, Paul E; van Meerbeeck, Jan P; Parizel, Paul M

2017-10-01

Lung cancer is the most common cancer worldwide. On imaging, it typically presents as mass or nodule. Recognition of these typical cases is often straightforward, whereas diagnosis of uncommon manifestations of primary lung cancer is far more challenging. Lung cancer can mimic a variety of benign entities, including pneumonia, lung abscess, postinfectious scarring, atelectasis, a mediastinal mass, emphysema and granulomatous diseases. Correlation with previous history, clinical and biochemical parameters is necessary in the assessment of these cases, but often aspecific and inconclusive. Whereas 18 F-fluorodeoxyglucose ( 18 F-FDG) Positron Emission Tomography is the cornerstone in staging of lung cancer, its role in diagnosis of these uncommon manifestations is less straightforward since benign entities can present with increased 18 F-FDG-uptake and, on the other hand, a number of these uncommon lung cancer manifestations do not exhibit increased uptake. Chest Computed Tomography (CT) is the imaging modality of choice for both lesion detection and characterization. In this pictorial review we present the wide imaging spectrum of CT-findings as well as radiologic-pathologic correlation of these uncommon lung cancer manifestations. Knowledge of the many faces of lung cancer is crucial for early diagnosis and subsequent treatment. A multidisciplinary approach in these cases is mandatory. Copyright © 2017 Elsevier B.V. All rights reserved.

31 CFR 535.301 - Iran; Iranian Entity.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 31 Money and Finance:Treasury 3 2013-07-01 2013-07-01 false Iran; Iranian Entity. 535.301 Section... § 535.301 Iran; Iranian Entity. (a) The term Iran and Iranian Entity includes: (1) The state and the Government of Iran as well as any political subdivision, agency, or instrumentality thereof or any territory...

31 CFR 535.301 - Iran; Iranian Entity.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 31 Money and Finance:Treasury 3 2012-07-01 2012-07-01 false Iran; Iranian Entity. 535.301 Section... § 535.301 Iran; Iranian Entity. (a) The term Iran and Iranian Entity includes: (1) The state and the Government of Iran as well as any political subdivision, agency, or instrumentality thereof or any territory...

31 CFR 535.301 - Iran; Iranian Entity.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 31 Money and Finance:Treasury 3 2014-07-01 2014-07-01 false Iran; Iranian Entity. 535.301 Section... § 535.301 Iran; Iranian Entity. (a) The term Iran and Iranian Entity includes: (1) The state and the Government of Iran as well as any political subdivision, agency, or instrumentality thereof or any territory...

14 CFR Sec. 1-6 - Accounting entities.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 14 Aeronautics and Space 4 2011-01-01 2011-01-01 false Accounting entities. Sec. 1-6 Section 1-6... Provisions Sec. 1-6 Accounting entities. (a) Separate accounting records shall be maintained for each air transport entity for which separate reports to the BTS are required to be made by sections 21(g) and for...

The valid generic name for red-backed voles (Muroidea: Cricetidae: Arvicolinae): restatement of the case for Myodes Pallas, 1811

USGS Publications Warehouse

Carleton, Michael D.; Gardner, Alfred L.; Pavlinov, Igor Ya.; Musser, Guy G.

2014-01-01

In view of contradictions in the recent literature, the valid genus-group name to be applied to northern red-backed voles—Myodes Pallas, 1811, or Clethrionomys Tilesius, 1850—is reviewed. To develop the thesis that Myodes (type species, Mus rutilus Pallas, 1779) is the correct name, our discussion explores the 19th-century taxonomic works that bear on the relevant taxa, the transition in zoological codes apropos the identification of type species, and past nomenclatural habits in cases where no type species was originally indicated. We conclude that Myodes is the senior name to use for the genus-group taxon that includes the Holarctic species rutilus and frame this conclusion within a synonymy of the genus.

The assessment of colour perception, naming and knowledge: a new test device with a case study.

PubMed

Pagani, Rossella; Bosco, Giovanna; Dalla Valle, Elisabetta; Capitani, Erminio; Laiacona, Marcella

2012-08-01

Besides ocular diseases, also cerebral damage may cause colour vision deficits; cerebral lesions may be associated with a variety of clinical conditions that impair colour processing. This study presents procedures and normative data for a rapid, comprehensive seven-test battery aimed at assessing colour perception, colour naming and object colour knowledge. The norms, obtained from 96 healthy Italian participants, allow normality/pathology judgements on the basis of one-sided tolerance limits, after adjusting the score of each test for the demographic variables of the proband subjects. We also report, as an example, use of the battery in a stroke patient; this patient was chosen because her lesion affected the left temporal-occipital cortex, an area sometimes associated with a deficit of colour processing. The patient resulted normal on colour perception and colour name retrieval, but defective on object colour knowledge probed using the stimulus name. For the sound definition of the functional locus of cognitive impairment at the single case level, a multi-faceted set of tasks is necessary.

47 CFR 27.1218 - Designated entities.

Code of Federal Regulations, 2014 CFR

2014-10-01

... 47 Telecommunication 2 2014-10-01 2014-10-01 false Designated entities. 27.1218 Section 27.1218 Telecommunication FEDERAL COMMUNICATIONS COMMISSION (CONTINUED) COMMON CARRIER SERVICES MISCELLANEOUS WIRELESS COMMUNICATIONS SERVICES Broadband Radio Service and Educational Broadband Service § 27.1218 Designated entities...

47 CFR 27.1218 - Designated entities.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 47 Telecommunication 2 2013-10-01 2013-10-01 false Designated entities. 27.1218 Section 27.1218 Telecommunication FEDERAL COMMUNICATIONS COMMISSION (CONTINUED) COMMON CARRIER SERVICES MISCELLANEOUS WIRELESS COMMUNICATIONS SERVICES Broadband Radio Service and Educational Broadband Service § 27.1218 Designated entities...

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

Federal Register 2010, 2011, 2012, 2013, 2014

2013-04-15

...] Special Fraud Alert: Physician-Owned Entities AGENCY: Office of Inspector General (OIG), HHS. ACTION... Physician-Owned Entities. Specifically, the Special Fraud Alert addressed physician-owned entities that... publication of the Special Fraud Alert on Physician-Owned Entities, an inadvertent error appeared in the DATES...

Processing new and repeated names: Effects of coreference on repetition priming with speech and fast RSVP

PubMed Central

Camblin, C. Christine; Ledoux, Kerry; Boudewyn, Megan; Gordon, Peter C.; Swaab, Tamara Y.

2006-01-01

Previous research has shown that the process of establishing coreference with a repeated name can affect basic repetition priming. Specifically, repetition priming on some measures can be eliminated for repeated names that corefer with an entity that is prominent in the discourse model. However, the exact nature and timing of this modulating effect of discourse are not yet understood. Here, we present two ERP studies that further probe the nature of repeated name coreference by using naturally produced connected speech and fast-rate RSVP methods of presentation. With speech we found that repetition priming was eliminated for repeated names that coreferred with a prominent antecedent. In contrast, with fast-rate RSVP, we found a main effect of repetition that did not interact with sentence context. This indicates that the creation of a discourse model during comprehension can affect repetition priming, but the nature of this effect may depend on input speed. PMID:16904078

Measuring nepotism through shared last names: the case of Italian Academia.

PubMed

Allesina, Stefano

2011-01-01

Nepotistic practices are detrimental for academia. Here I show how disciplines with a high likelihood of nepotism can be detected using standard statistical techniques based on shared last names among professors. As an example, I analyze the set of all 61,340 Italian academics. I find that nepotism is prominent in Italy, with particular disciplinary sectors being detected as especially problematic. Out of 28 disciplines, 9 - accounting for more than half of Italian professors - display a significant paucity of last names. Moreover, in most disciplines a clear north-south trend emerges, with likelihood of nepotism increasing with latitude. Even accounting for the geographic clustering of last names, I find that for many disciplines the probability of name-sharing is boosted when professors work in the same institution or sub-discipline. Using these techniques policy makers can target cuts and funding in order to promote fair practices.

A Case-Series Test of the Interactive Two-step Model of Lexical Access: Predicting Word Repetition from Picture Naming

PubMed Central

Dell, Gary S.; Martin, Nadine; Schwartz, Myrna F.

2010-01-01

Lexical access in language production, and particularly pathologies of lexical access, are often investigated by examining errors in picture naming and word repetition. In this article, we test a computational approach to lexical access, the two-step interactive model, by examining whether the model can quantitatively predict the repetition-error patterns of 65 aphasic subjects from their naming errors. The model’s characterizations of the subjects’ naming errors were taken from the companion paper to this one (Schwartz, Dell, N. Martin, Gahl & Sobel, 2006), and their repetition was predicted from the model on the assumption that naming involves two error prone steps, word and phonological retrieval, whereas repetition only creates errors in the second of these steps. A version of the model in which lexical-semantic and lexical-phonological connections could be independently lesioned was generally successful in predicting repetition for the aphasics. An analysis of the few cases in which model predictions were inaccurate revealed the role of input phonology in the repetition task. PMID:21085621

78 FR 70482 - Federal Acquisition Regulation; Federal Acquisition Circular 2005-71; Small Entity Compliance Guide

Federal Register 2010, 2011, 2012, 2013, 2014

2013-11-25

...: Small Entity Compliance Guide. SUMMARY: This document is issued under the joint authority of DOD, GSA... the FAR case number. For information pertaining to status or publication schedules, contact the Regulatory Secretariat at 202- 501-4755. Rules Listed in FAC 2005-71 Item Subject FAR Case Analyst *I...

14 CFR 1-6 - Accounting entities.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 14 Aeronautics and Space 4 2012-01-01 2012-01-01 false Accounting entities. Sec. 1-6 Section Sec. 1-6 Aeronautics and Space OFFICE OF THE SECRETARY, DEPARTMENT OF TRANSPORTATION (AVIATION... General Accounting Provisions Sec. 1-6 Accounting entities. (a) Separate accounting records shall be...

46 CFR 403.110 - Accounting entities.

Code of Federal Regulations, 2010 CFR

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 accounting...

42 CFR 410.145 - Requirements for entities.

Code of Federal Regulations, 2014 CFR

2014-10-01

... PROGRAM SUPPLEMENTARY MEDICAL INSURANCE (SMI) BENEFITS Outpatient Diabetes Self-Management Training and Diabetes Outcome Measurements § 410.145 Requirements for entities. (a) Deemed entities. (1) Except as...

42 CFR 410.145 - Requirements for entities.

Code of Federal Regulations, 2013 CFR

2013-10-01

... PROGRAM SUPPLEMENTARY MEDICAL INSURANCE (SMI) BENEFITS Outpatient Diabetes Self-Management Training and Diabetes Outcome Measurements § 410.145 Requirements for entities. (a) Deemed entities. (1) Except as...

42 CFR 410.145 - Requirements for entities.

Code of Federal Regulations, 2012 CFR

2012-10-01

... PROGRAM SUPPLEMENTARY MEDICAL INSURANCE (SMI) BENEFITS Outpatient Diabetes Self-Management Training and Diabetes Outcome Measurements § 410.145 Requirements for entities. (a) Deemed entities. (1) Except as...

17 CFR 202.8 - Small entity compliance guides.

Code of Federal Regulations, 2010 CFR

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...

17 CFR 202.8 - Small entity compliance guides.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 17 Commodity and Securities Exchanges 2 2011-04-01 2011-04-01 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...

31 CFR 537.312 - Nongovernmental entity in Burma.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Nongovernmental entity in Burma. 537.312 Section 537.312 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued... Definitions § 537.312 Nongovernmental entity in Burma. The term nongovernmental entity in Burma means a...

31 CFR 537.312 - Nongovernmental entity in Burma.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Nongovernmental entity in Burma. 537.312 Section 537.312 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued... Definitions § 537.312 Nongovernmental entity in Burma. The term nongovernmental entity in Burma means a...

26 CFR 301.7701-5 - Domestic and foreign business entities.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 26 Internal Revenue 18 2010-04-01 2010-04-01 false Domestic and foreign business entities. 301... foreign business entities. (a) Domestic and foreign business entities. A business entity (including an entity that is disregarded as separate from its owner under § 301.7701-2(c)) is domestic if it is created...

26 CFR 301.7701-5 - Domestic and foreign business entities.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 26 Internal Revenue 18 2011-04-01 2011-04-01 false Domestic and foreign business entities. 301... foreign business entities. (a) Domestic and foreign business entities. A business entity (including an entity that is disregarded as separate from its owner under § 301.7701-2(c)) is domestic if it is created...

Sound Symbolic Patterns in Pokémon Names.

PubMed

Kawahara, Shigeto; Noto, Atsushi; Kumagai, Gakuji

2018-04-11

This paper presents a case study of sound symbolism, cases in which certain sounds tend to be associated with particular meanings. We used the corpus of all Japanese Pokémon names available as of October 2016. We tested the effects of voiced obstruents, mora counts, and vowel quality on Pokémon characters' size, weight, strength parameters, and evolution levels. We found that the number of voiced obstruents in Pokémon names correlates positively with size, weight, evolution levels, and general strength parameters, except for speed. We argue that this result is compatible with the frequency code hypothesis of Ohala. The number of moras in Pokémon names correlates positively with size, weight, evolution levels, and all strength parameters. Vowel height is also shown to have an influence on size and weight - Pokémon characters with initial high vowels tend to be smaller and lighter, although the effect size is not very large. Not only does this paper offer a new case study of sound symbolism, it provides evidence that sound symbolism is at work when naming proper nouns. © 2018 S. Karger AG, Basel.

Parkin disease: a clinicopathologic entity?

PubMed

Doherty, Karen M; Silveira-Moriyama, Laura; Parkkinen, Laura; Healy, Daniel G; Farrell, Michael; Mencacci, Niccolo E; Ahmed, Zeshan; Brett, Francesca M; Hardy, John; Quinn, Niall; Counihan, Timothy J; Lynch, Timothy; Fox, Zoe V; Revesz, Tamas; Lees, Andrew J; Holton, Janice L

2013-05-01

Mutations in the gene encoding parkin (PARK2) are the most common cause of autosomal recessive juvenile-onset and young-onset parkinsonism. The few available detailed neuropathologic reports suggest that homozygous and compound heterozygous parkin mutations are characterized by severe substantia nigra pars compacta neuronal loss. To investigate whether parkin-linked parkinsonism is a different clinicopathologic entity to Parkinson disease (PD). We describe the clinical, genetic, and neuropathologic findings of 5 unrelated cases of parkin disease and compare them with 5 pathologically confirmed PD cases and 4 control subjects. The PD control cases and normal control subjects were matched first for age at death then disease duration (PD only) for comparison. Presenting signs in the parkin disease cases were hand or leg tremor often combined with dystonia. Mean age at onset was 34 years; all cases were compound heterozygous for mutations of parkin. Freezing of gait, postural deformity, and motor fluctuations were common late features. No patients had any evidence of cognitive impairment or dementia. Neuronal counts in the substantia nigra pars compacta revealed that neuronal loss in the parkin cases was as severe as that seen in PD, but relative preservation of the dorsal tier was seen in comparison with PD (P = .04). Mild neuronal loss was identified in the locus coeruleus and dorsal motor nucleus of the vagus, but not in the nucleus basalis of Meynert, raphe nucleus, or other brain regions. Sparse Lewy bodies were identified in 2 cases (brainstem and cortex). These findings support the notion that parkin disease is characterized by a more restricted morphologic abnormality than is found in PD, with predominantly ventral nigral degeneration and absent or rare Lewy bodies.

Naming and outline of Dothideomycetes-2014 including proposals for the protection or suppression of generic names.

PubMed

Wijayawardene, Nalin N; Crous, Pedro W; Kirk, Paul M; Hawksworth, David L; Boonmee, Saranyaphat; Braun, Uwe; Dai, Dong-Qin; D'souza, Melvina J; Diederich, Paul; Dissanayake, Asha; Doilom, Mingkhuan; Hongsanan, Singang; Jones, E B Gareth; Groenewald, Johannes Z; Jayawardena, Ruvishika; Lawrey, James D; Liu, Jian-Kui; Lücking, Robert; Madrid, Hugo; Manamgoda, Dimuthu S; Muggia, Lucia; Nelsen, Matthew P; Phookamsak, Rungtiwa; Suetrong, Satinee; Tanaka, Kazuaki; Thambugala, Kasun M; Wanasinghe, Dhanushka N; Wikee, Saowanee; Zhang, Ying; Aptroot, André; Ariyawansa, H A; Bahkali, Ali H; Bhat, D Jayarama; Gueidan, Cécile; Chomnunti, Putarak; De Hoog, G Sybren; Knudsen, Kerry; Li, Wen-Jing; McKenzie, Eric H C; Miller, Andrew N; Phillips, Alan J L; Piątek, Marcin; Raja, Huzefa A; Shivas, Roger S; Slippers, Bernad; Taylor, Joanne E; Tian, Qing; Wang, Yong; Woudenberg, Joyce H C; Cai, Lei; Jaklitsch, Walter M; Hyde, Kevin D

2014-11-01

Article 59.1, of the International Code of Nomenclature for Algae, Fungi, and Plants (ICN; Melbourne Code), which addresses the nomenclature of pleomorphic fungi, became effective from 30 July 2011. Since that date, each fungal species can have one nomenclaturally correct name in a particular classification. All other previously used names for this species will be considered as synonyms. The older generic epithet takes priority over the younger name. Any widely used younger names proposed for use, must comply with Art. 57.2 and their usage should be approved by the Nomenclature Committee for Fungi (NCF). In this paper, we list all genera currently accepted by us in Dothideomycetes (belonging to 23 orders and 110 families), including pleomorphic and nonpleomorphic genera. In the case of pleomorphic genera, we follow the rulings of the current ICN and propose single generic names for future usage. The taxonomic placements of 1261 genera are listed as an outline. Protected names and suppressed names for 34 pleomorphic genera are listed separately. Notes and justifications are provided for possible proposed names after the list of genera. Notes are also provided on recent advances in our understanding of asexual and sexual morph linkages in Dothideomycetes . A phylogenetic tree based on four gene analyses supported 23 orders and 75 families, while 35 families still lack molecular data.

Naming and outline of Dothideomycetes–2014 including proposals for the protection or suppression of generic names

PubMed Central

Wijayawardene, Nalin N.; Crous, Pedro W.; Kirk, Paul M.; Hawksworth, David L.; Boonmee, Saranyaphat; Braun, Uwe; Dai, Dong-Qin; D’souza, Melvina J.; Diederich, Paul; Dissanayake, Asha; Doilom, Mingkhuan; Hongsanan, Singang; Jones, E. B.Gareth; Groenewald, Johannes Z.; Jayawardena, Ruvishika; Lawrey, James D.; Liu, Jian-Kui; Lücking, Robert; Madrid, Hugo; Manamgoda, Dimuthu S.; Muggia, Lucia; Nelsen, Matthew P.; Phookamsak, Rungtiwa; Suetrong, Satinee; Tanaka, Kazuaki; Thambugala, Kasun M.; Wanasinghe, Dhanushka N.; Wikee, Saowanee; Zhang, Ying; Aptroot, André; Ariyawansa, H. A.; Bahkali, Ali H.; Bhat, D. Jayarama; Gueidan, Cécile; Chomnunti, Putarak; De Hoog, G. Sybren; Knudsen, Kerry; Li, Wen-Jing; McKenzie, Eric H. C.; Miller, Andrew N.; Phillips, Alan J. L.; Piątek, Marcin; Raja, Huzefa A.; Shivas, Roger S.; Slippers, Bernad; Taylor, Joanne E.; Tian, Qing; Wang, Yong; Woudenberg, Joyce H. C.; Cai, Lei; Jaklitsch, Walter M.

2016-01-01

Article 59.1, of the International Code of Nomenclature for Algae, Fungi, and Plants (ICN; Melbourne Code), which addresses the nomenclature of pleomorphic fungi, became effective from 30 July 2011. Since that date, each fungal species can have one nomenclaturally correct name in a particular classification. All other previously used names for this species will be considered as synonyms. The older generic epithet takes priority over the younger name. Any widely used younger names proposed for use, must comply with Art. 57.2 and their usage should be approved by the Nomenclature Committee for Fungi (NCF). In this paper, we list all genera currently accepted by us in Dothideomycetes (belonging to 23 orders and 110 families), including pleomorphic and nonpleomorphic genera. In the case of pleomorphic genera, we follow the rulings of the current ICN and propose single generic names for future usage. The taxonomic placements of 1261 genera are listed as an outline. Protected names and suppressed names for 34 pleomorphic genera are listed separately. Notes and justifications are provided for possible proposed names after the list of genera. Notes are also provided on recent advances in our understanding of asexual and sexual morph linkages in Dothideomycetes. A phylogenetic tree based on four gene analyses supported 23 orders and 75 families, while 35 families still lack molecular data. PMID:27284275

26 CFR 1.892-5 - Controlled commercial entity.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 26 Internal Revenue 9 2010-04-01 2010-04-01 false Controlled commercial entity. 1.892-5 Section 1... (CONTINUED) INCOME TAXES Miscellaneous Provisions § 1.892-5 Controlled commercial entity. (a)-(a)(2...)(B), the term entity means and includes a corporation, a partnership, a trust (including a pension...

Zefinha - the name of abandonment.

PubMed

Diniz, Debora

2015-09-01

Zefinha has been living in a forensic hospital for the last 39 years. She is the longest female inhabitant surviving under compulsory psychiatric treatment in Brazil. This paper discusses how the ethical rule of anonymity might be revised in research concerning a unique case involving severe violations of human rights. My argument is that there are cases in which disclosing the names of research participants protects their interests and rights.

26 CFR 1.892-5 - Controlled commercial entity.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 26 Internal Revenue 9 2011-04-01 2011-04-01 false Controlled commercial entity. 1.892-5 Section 1... (CONTINUED) INCOME TAXES (CONTINUED) Miscellaneous Provisions § 1.892-5 Controlled commercial entity. (a)-(a... section 892(a)(2)(B), the term entity means and includes a corporation, a partnership, a trust (including...

22 CFR 96.21 - Choosing an accrediting entity.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 22 Foreign Relations 1 2010-04-01 2010-04-01 false Choosing an accrediting entity. 96.21 Section... Accreditation and Approval § 96.21 Choosing an accrediting entity. (a) An agency that seeks to become accredited must apply to an accrediting entity that is designated to provide accreditation services and that has...

22 CFR 96.21 - Choosing an accrediting entity.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 22 Foreign Relations 1 2011-04-01 2011-04-01 false Choosing an accrediting entity. 96.21 Section... Accreditation and Approval § 96.21 Choosing an accrediting entity. (a) An agency that seeks to become accredited must apply to an accrediting entity that is designated to provide accreditation services and that has...

77 FR 24587 - Addition of Certain Persons to the Entity List; and Implementation of Entity List Annual Review...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-04-25

...; --Mahtab Technical Engineering Company; --Composite Propellant Missile Industry; and --Sanaye Sokhte... entity; 0 (i) By removing the ``Country'' column for South Korea, including the South Korean entity... Technical Engineering Company;. --Composite Propellant Missile Industry; and. --Sanaye Sokhte Morakab (SSM...

76 FR 63184 - Addition of Certain Persons on the Entity List; Implementation of Entity List Annual Review...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-10-12

... as a result of requests for removal submitted by each of these three persons, a review of information...-country) to entities identified on the Entity List require a license from the Bureau of Industry and... effective October 12, 2011. FOR FURTHER INFORMATION CONTACT: Karen Nies-Vogel, Chair, End-User Review...

45 CFR 158.603 - Notice to responsible entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 45 Public Welfare 1 2011-10-01 2011-10-01 false Notice to responsible entities. 158.603 Section... Notice to responsible entities. If HHS learns of a potential violation described in § 158.602 of this... violation. (b) Provide 30 days from the date of the notice for the responsible entity to respond and to...

Spatio-structural granularity of biological material entities

PubMed Central

2010-01-01

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

14 CFR 252.19 - Single-entity charters.

Code of Federal Regulations, 2010 CFR

2010-01-01

...) ECONOMIC REGULATIONS SMOKING ABOARD AIRCRAFT § 252.19 Single-entity charters. On single-entity charters... flights is given notice of the smoking procedures for the flight at the time he or she first makes...

14 CFR 252.19 - Single-entity charters.

Code of Federal Regulations, 2011 CFR

2011-01-01

...) ECONOMIC REGULATIONS SMOKING ABOARD AIRCRAFT § 252.19 Single-entity charters. On single-entity charters... flights is given notice of the smoking procedures for the flight at the time he or she first makes...

14 CFR 252.19 - Single-entity charters.

Code of Federal Regulations, 2013 CFR

2013-01-01

...) ECONOMIC REGULATIONS SMOKING ABOARD AIRCRAFT § 252.19 Single-entity charters. On single-entity charters... flights is given notice of the smoking procedures for the flight at the time he or she first makes...

14 CFR 252.19 - Single-entity charters.

Code of Federal Regulations, 2014 CFR

2014-01-01

...) ECONOMIC REGULATIONS SMOKING ABOARD AIRCRAFT § 252.19 Single-entity charters. On single-entity charters... flights is given notice of the smoking procedures for the flight at the time he or she first makes...

14 CFR 252.19 - Single-entity charters.

Code of Federal Regulations, 2012 CFR

2012-01-01

...) ECONOMIC REGULATIONS SMOKING ABOARD AIRCRAFT § 252.19 Single-entity charters. On single-entity charters... flights is given notice of the smoking procedures for the flight at the time he or she first makes...

OntoCheck: verifying ontology naming conventions and metadata completeness in Protégé 4

PubMed Central

2012-01-01

Background Although policy providers have outlined minimal metadata guidelines and naming conventions, ontologies of today still display inter- and intra-ontology heterogeneities in class labelling schemes and metadata completeness. This fact is at least partially due to missing or inappropriate tools. Software support can ease this situation and contribute to overall ontology consistency and quality by helping to enforce such conventions. Objective We provide a plugin for the Protégé Ontology editor to allow for easy checks on compliance towards ontology naming conventions and metadata completeness, as well as curation in case of found violations. Implementation In a requirement analysis, derived from a prior standardization approach carried out within the OBO Foundry, we investigate the needed capabilities for software tools to check, curate and maintain class naming conventions. A Protégé tab plugin was implemented accordingly using the Protégé 4.1 libraries. The plugin was tested on six different ontologies. Based on these test results, the plugin could be refined, also by the integration of new functionalities. Results The new Protégé plugin, OntoCheck, allows for ontology tests to be carried out on OWL ontologies. In particular the OntoCheck plugin helps to clean up an ontology with regard to lexical heterogeneity, i.e. enforcing naming conventions and metadata completeness, meeting most of the requirements outlined for such a tool. Found test violations can be corrected to foster consistency in entity naming and meta-annotation within an artefact. Once specified, check constraints like name patterns can be stored and exchanged for later re-use. Here we describe a first version of the software, illustrate its capabilities and use within running ontology development efforts and briefly outline improvements resulting from its application. Further, we discuss OntoChecks capabilities in the context of related tools and highlight potential future

OntoCheck: verifying ontology naming conventions and metadata completeness in Protégé 4.

PubMed

Schober, Daniel; Tudose, Ilinca; Svatek, Vojtech; Boeker, Martin

2012-09-21

Although policy providers have outlined minimal metadata guidelines and naming conventions, ontologies of today still display inter- and intra-ontology heterogeneities in class labelling schemes and metadata completeness. This fact is at least partially due to missing or inappropriate tools. Software support can ease this situation and contribute to overall ontology consistency and quality by helping to enforce such conventions. We provide a plugin for the Protégé Ontology editor to allow for easy checks on compliance towards ontology naming conventions and metadata completeness, as well as curation in case of found violations. In a requirement analysis, derived from a prior standardization approach carried out within the OBO Foundry, we investigate the needed capabilities for software tools to check, curate and maintain class naming conventions. A Protégé tab plugin was implemented accordingly using the Protégé 4.1 libraries. The plugin was tested on six different ontologies. Based on these test results, the plugin could be refined, also by the integration of new functionalities. The new Protégé plugin, OntoCheck, allows for ontology tests to be carried out on OWL ontologies. In particular the OntoCheck plugin helps to clean up an ontology with regard to lexical heterogeneity, i.e. enforcing naming conventions and metadata completeness, meeting most of the requirements outlined for such a tool. Found test violations can be corrected to foster consistency in entity naming and meta-annotation within an artefact. Once specified, check constraints like name patterns can be stored and exchanged for later re-use. Here we describe a first version of the software, illustrate its capabilities and use within running ontology development efforts and briefly outline improvements resulting from its application. Further, we discuss OntoChecks capabilities in the context of related tools and highlight potential future expansions. The OntoCheck plugin facilitates

Historical Semantic Chaining and Efficient Communication: The Case of Container Names

ERIC Educational Resources Information Center

Xu, Yang; Regier, Terry; Malt, Barbara C.

2016-01-01

Semantic categories in the world's languages often reflect a historical process of "chaining": A name for one referent is extended to a conceptually related referent, and from there on to other referents, producing a chain of exemplars that all bear the same name. The beginning and end points of such a chain might in principle be rather…

[Isotretinoin embryopathy: An entity that can be avoided].

PubMed

Cammarata-Scalisi, Francisco; Nieves, Dairelis; Avendaño, Andrea; Lacruz-Rengel, María A; Alviárez, Karelys; Dávila, Francys; Yavuz, Izzet; Callea, Michele

2018-04-01

Isotretinoin is the most effective drug in the treatment of severe recalcitrant nodulocystic acne. However, treatment with this drug is associated with adverse effects, the most severe being teratogenesis. It has been estimated that 40% of pregnancies exposed to isotretinoin present spontaneous abortion and 35% develop embryopathy. We present the case of a newborn with a history of prenatal exposure to isotretinoin, a clinical entity that can be avoided, with severe congenital defects in the central nervous system and important facial dysmorphisms, with unfavorable clinical course. Sociedad Argentina de Pediatría.

78 FR 3317 - Removal of Persons From the Entity List Based on Removal Request; Implementation of Entity List...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-01-16

... the Entity List. The ERC's decision to remove these two persons took into account their cooperation... INFORMATION CONTACT: Karen Nies-Vogel, Chair, End-User Review Committee, Office of the Assistant Secretary..., Fax: (202) 482-3911, Email: [email protected] . SUPPLEMENTARY INFORMATION: Background The Entity List...

77 FR 3636 - Federal Acquisition Regulation; Brand-Name Specifications; Correction

Federal Register 2010, 2011, 2012, 2013, 2014

2012-01-25

... 26] RIN 9000-AK55 Federal Acquisition Regulation; Brand-Name Specifications; Correction AGENCY... Regulation (FAR) to implement the Office of Management and Budget memoranda on brand-name specifications, FAR Case 2005-037, Brand-Name Specifications, which published in the Federal Register at 77 FR 189 on...

A further note on the scientific name of Bullocks’ Oriole

USGS Publications Warehouse

Chesser, R. Terry

2015-01-01

Chesser (2013) intended to introduce a justified emendation to Icterus bullockii under Article 32.5.1 of the Code (ICZN 1999), because the name honors both William Bullock, Sr., and William Bullock, Jr. However, the correction bullockorum is "incorrect" and therefore is an unjustified emendation (Article 33.2.3). Under the assumption that the name Bullock was latinized (cf. Article 31.1.1) to Bullockius (bullocki– + the nominative case ending –us) and therefore that the name bullockii comprises the stem bullocki– + the genitive case ending –i, the justified correction bullockiorum is required.

Symbolic emblems of the Levantine Aurignacians as a regional entity identifier (Hayonim Cave, Lower Galilee, Israel).

PubMed

Tejero, José-Miguel; Belfer-Cohen, Anna; Bar-Yosef, Ofer; Gutkin, Vitaly; Rabinovich, Rivka

2018-05-15

The Levantine Aurignacian is a unique phenomenon in the local Upper Paleolithic sequence, showing greater similarity to the West European classic Aurignacian than to the local Levantine archaeological entities preceding and following it. Herewith we highlight another unique characteristic of this entity, namely, the presence of symbolic objects in the form of notched bones (mostly gazelle scapulae) from the Aurignacian levels of Hayonim Cave, Lower Galilee, Israel. Through both macroscopic and microscopic analyses of the items, we suggest that they are not mere cut marks but rather are intentional (decorative?) human-made markings. The significance of this evidence for symbolic behavior is discussed in its chrono-cultural and geographical contexts. Notched bones are among the oldest symbolic expressions of anatomically modern humans. However, unlike other Paleolithic sites where such findings were reported in single numbers, the number of these items recovered at Hayonim Cave is sufficient to assume they possibly served as an emblem of the Levantine Aurignacian.

12 CFR 1238.7 - Publication of results by regulated entities.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 12 Banks and Banking 10 2014-01-01 2014-01-01 false Publication of results by regulated entities... TESTING OF REGULATED ENTITIES § 1238.7 Publication of results by regulated entities. (a) Public disclosure of results required for stress tests of regulated entities. The Enterprises must disclose publicly a...

37 CFR 381.2 - Definition of public broadcasting entity.

Code of Federal Regulations, 2010 CFR

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 station...

37 CFR 253.2 - Definition of public broadcasting entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 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 broadcast...

37 CFR 381.2 - Definition of public broadcasting entity.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 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 station...

37 CFR 253.2 - Definition of public broadcasting entity.

Code of Federal Regulations, 2010 CFR

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 broadcast...

Improving Information Extraction and Translation Using Component Interactions

DTIC Science & Technology

2008-01-01

74 7. CASE STUDY ON MONOLINGUAL INTERACTION.....................................................................76 7.1 IMPROVING NAME TAGGING BY...interactions described above focused on the monolingual analysis pipeline. (Huang and Vogel, 2002) presented a cross-lingual joint inference example to...improve the extracted named entity translation dictionary and the entity annotation in a bilingual 22 training corpus. They used a more

POLG1 mutations and stroke like episodes: a distinct clinical entity rather than an atypical MELAS syndrome

PubMed Central

2013-01-01

Background POLG1 mutations have been associated with MELAS-like phenotypes. However given several clinical differences it is unknown whether POLG1 mutations are possible causes of MELAS or give raise to a distinct clinical and genetic entity, named POLG1-associated encephalopathy. Case presentation We describe a 74 years old man carrying POLG1 mutations presenting with strokes, myopathy and ragged red fibers with some atypical aspects for MELAS such as late onset, lack of cerebral calcification and presence of frontal and occipital MRI lesions better consistent with the POLG associated-encephalopathy spectrum. Conclusion The lack of available data hampers a definite diagnosis in our patient as well as makes it difficult to compare MELAS, which is a clearly defined clinical syndrome, with POLG1-associated encephalopathy, which is so far a purely molecularly defined syndrome with a quite heterogeneous clinical picture. However, the present report contributes to expand the phenotypic spectrum of POLG1 mutations underlining the importance of searching POLG1 mutations in patients with mitochondrial signs and MELAS like phenotypes but negative for common mtDNA mutations. PMID:23324391

12 CFR 1238.6 - Post-assessment actions by regulated entities.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 12 Banks and Banking 10 2014-01-01 2014-01-01 false Post-assessment actions by regulated entities... TESTING OF REGULATED ENTITIES § 1238.6 Post-assessment actions by regulated entities. Each regulated entity shall take the results of the stress test conducted under § 1238.3 into account in making changes...

22 CFR 140.9 - Other non-governmental entities and individuals.

Code of Federal Regulations, 2014 CFR

2014-04-01

.... Section 140.9 applies to private voluntary agencies, educational institutions, for-profit firms, other non-governmental entities and private individuals. A non-governmental entity that is not organized under the laws... suspect that a proposed U.S. non-governmental entity or a key individual of such entity may be or may have...

22 CFR 140.9 - Other non-governmental entities and individuals.

Code of Federal Regulations, 2012 CFR

2012-04-01

.... Section 140.9 applies to private voluntary agencies, educational institutions, for-profit firms, other non-governmental entities and private individuals. A non-governmental entity that is not organized under the laws... suspect that a proposed U.S. non-governmental entity or a key individual of such entity may be or may have...

22 CFR 140.9 - Other non-governmental entities and individuals.

Code of Federal Regulations, 2013 CFR

2013-04-01

.... Section 140.9 applies to private voluntary agencies, educational institutions, for-profit firms, other non-governmental entities and private individuals. A non-governmental entity that is not organized under the laws... suspect that a proposed U.S. non-governmental entity or a key individual of such entity may be or may have...

26 CFR 301.7701-3 - Classification of certain business entities.

Code of Federal Regulations, 2013 CFR

2013-04-01

... the new target corporation under section 338. (iii) Application to successive elections in tiered... of an entity does not result in the creation of a new entity for purposes of the sixty month... entity separate from A when A becomes the only member of X. X, however, is not treated as a new entity...

26 CFR 301.7701-3 - Classification of certain business entities.

Code of Federal Regulations, 2012 CFR

2012-04-01

... the new target corporation under section 338. (iii) Application to successive elections in tiered... of an entity does not result in the creation of a new entity for purposes of the sixty month... entity separate from A when A becomes the only member of X. X, however, is not treated as a new entity...

26 CFR 301.7701-3 - Classification of certain business entities.

Code of Federal Regulations, 2011 CFR

2011-04-01

... the new target corporation under section 338. (iii) Application to successive elections in tiered... of an entity does not result in the creation of a new entity for purposes of the sixty month... entity separate from A when A becomes the only member of X. X, however, is not treated as a new entity...

26 CFR 301.7701-3 - Classification of certain business entities.

Code of Federal Regulations, 2014 CFR

2014-04-01

... the new target corporation under section 338. (iii) Application to successive elections in tiered... of an entity does not result in the creation of a new entity for purposes of the sixty month... entity separate from A when A becomes the only member of X. X, however, is not treated as a new entity...

18 CFR 39.8 - Delegation to a Regional Entity.

Code of Federal Regulations, 2011 CFR

2011-04-01

... Regional Entity. 39.8 Section 39.8 Conservation of Power and Water Resources FEDERAL ENERGY REGULATORY... OF ELECTRIC RELIABILITY STANDARDS § 39.8 Delegation to a Regional Entity. (a) The Electric Reliability Organization may enter into an agreement to delegate authority to a Regional Entity for the...

49 CFR 37.29 - Private entities providing taxi service.

Code of Federal Regulations, 2010 CFR

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 primarily...

45 CFR 162.510 - Full implementation requirements: Covered entities.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 45 Public Welfare 1 2013-10-01 2013-10-01 false Full implementation requirements: Covered entities. 162.510 Section 162.510 Public Welfare DEPARTMENT OF HEALTH AND HUMAN SERVICES ADMINISTRATIVE DATA... Plans § 162.510 Full implementation requirements: Covered entities. (a) A covered entity must use an...

7 CFR 25.401 - Responsibility of lead managing entity.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 7 Agriculture 1 2013-01-01 2013-01-01 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 the...

7 CFR 25.401 - Responsibility of lead managing entity.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 7 Agriculture 1 2012-01-01 2012-01-01 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 the...

7 CFR 25.401 - Responsibility of lead managing entity.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 7 Agriculture 1 2014-01-01 2014-01-01 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 the...

49 CFR 37.29 - Private entities providing taxi service.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 49 Transportation 1 2011-10-01 2011-10-01 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 primarily...

Extrapelvic endometriosis: a rare entity or an under diagnosed condition?

PubMed Central

2013-01-01

Endometriosis is a clinical entity characterized by the presence of normal endometrial mucosa abnormally implanted in locations other than the uterine cavity. Endometriosis can be either endopelvic or extrapelvicdepending on the location of endometrial tissue implantation. Despite the rarity of extrapelvic endometriosis, several cases of endometriosis of the gastrointestinal tract, the urinarytract, the upper and lower respiratory system, the diaphragm, the pleura and the pericardium, as well as abdominal scars loci have been reported in the literature. There are several theories about the pathogenesis and the pathophysiology of endometriosis. Depending on the place of endometrial tissue implantation, endometriosis can be expressed with a wide variety of symptoms. The diagnosis of this entity is neither easy nor routine. Many diagnostic methods clinical and laboratory have been used, but none of them is the golden standard. The multipotent localization of endometriosis in combination with the wide range of its clinical expression should raise the clinical suspicion in every woman with periodic symptoms of extrapelvic organs. Finally, the therapeutic approach of this clinical entity is also correlated with the bulk of endometriosis and the locum that it is found. It varies from simple observation, to surgical treatment and treatment with medication as well as a combination of those. Virtual slides The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1968087883113362. PMID:24294950

Anatomical entity mention recognition at literature scale

PubMed Central

Pyysalo, Sampo; Ananiadou, Sophia

2014-01-01

Motivation: Anatomical entities ranging from subcellular structures to organ systems are central to biomedical science, and mentions of these entities are essential to understanding the scientific literature. Despite extensive efforts to automatically analyze various aspects of biomedical text, there have been only few studies focusing on anatomical entities, and no dedicated methods for learning to automatically recognize anatomical entity mentions in free-form text have been introduced. Results: We present AnatomyTagger, a machine learning-based system for anatomical entity mention recognition. The system incorporates a broad array of approaches proposed to benefit tagging, including the use of Unified Medical Language System (UMLS)- and Open Biomedical Ontologies (OBO)-based lexical resources, word representations induced from unlabeled text, statistical truecasing and non-local features. We train and evaluate the system on a newly introduced corpus that substantially extends on previously available resources, and apply the resulting tagger to automatically annotate the entire open access scientific domain literature. The resulting analyses have been applied to extend services provided by the Europe PubMed Central literature database. Availability and implementation: All tools and resources introduced in this work are available from http://nactem.ac.uk/anatomytagger. Contact: sophia.ananiadou@manchester.ac.uk Supplementary Information: Supplementary data are available at Bioinformatics online. PMID:24162468

7 CFR 1486.202 - Are there any ineligible entities?

Code of Federal Regulations, 2010 CFR

2010-01-01

... 7 Agriculture 10 2010-01-01 2010-01-01 false Are there any ineligible entities? 1486.202 Section... Eligibility, Applications, and Funding § 1486.202 Are there any ineligible entities? Foreign organizations, whether government or private, may participate as third parties in activities carried out by U.S. entities...

45 CFR 162.610 - Implementation specifications for covered entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 45 Public Welfare 1 2011-10-01 2011-10-01 false Implementation specifications for covered entities... Implementation specifications for covered entities. (a) The standard unique employer identifier of an employer of... Statement, from the employer. (b) A covered entity must use the standard unique employer identifier (EIN) of...

7 CFR 760.115 - Deceased individuals or dissolved entities.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 7 Agriculture 7 2010-01-01 2010-01-01 false Deceased individuals or dissolved entities. 760.115... Agricultural Disaster Assistance Programs § 760.115 Deceased individuals or dissolved entities. (a) Payments... or is a dissolved entity if a representative, who currently has authority to enter into a contract...

7 CFR 1486.202 - Are there any ineligible entities?

Code of Federal Regulations, 2011 CFR

2011-01-01

... 7 Agriculture 10 2011-01-01 2011-01-01 false Are there any ineligible entities? 1486.202 Section... Eligibility, Applications, and Funding § 1486.202 Are there any ineligible entities? Foreign organizations, whether government or private, may participate as third parties in activities carried out by U.S. entities...

45 CFR 162.610 - Implementation specifications for covered entities.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 45 Public Welfare 1 2010-10-01 2010-10-01 false Implementation specifications for covered entities... Implementation specifications for covered entities. (a) The standard unique employer identifier of an employer of... Statement, from the employer. (b) A covered entity must use the standard unique employer identifier (EIN) of...

42 CFR 422.592 - Reconsideration by an independent entity.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 42 Public Health 3 2011-10-01 2011-10-01 false Reconsideration by an independent entity. 422.592... and Appeals § 422.592 Reconsideration by an independent entity. (a) When the MA organization affirms... be reviewed and resolved by an independent, outside entity that contracts with CMS. (b) The...

42 CFR 422.592 - Reconsideration by an independent entity.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 42 Public Health 3 2010-10-01 2010-10-01 false Reconsideration by an independent entity. 422.592... and Appeals § 422.592 Reconsideration by an independent entity. (a) When the MA organization affirms... be reviewed and resolved by an independent, outside entity that contracts with CMS. (b) The...

7 CFR 760.115 - Deceased individuals or dissolved entities.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 7 Agriculture 7 2012-01-01 2012-01-01 false Deceased individuals or dissolved entities. 760.115... Agricultural Disaster Assistance Programs § 760.115 Deceased individuals or dissolved entities. (a) Payments... or is a dissolved entity if a representative, who currently has authority to enter into a contract...

7 CFR 760.115 - Deceased individuals or dissolved entities.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 7 Agriculture 7 2013-01-01 2013-01-01 false Deceased individuals or dissolved entities. 760.115... Agricultural Disaster Assistance Programs § 760.115 Deceased individuals or dissolved entities. (a) Payments... or is a dissolved entity if a representative, who currently has authority to enter into a contract...

7 CFR 760.115 - Deceased individuals or dissolved entities.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 7 Agriculture 7 2014-01-01 2014-01-01 false Deceased individuals or dissolved entities. 760.115... Agricultural Disaster Assistance Programs § 760.115 Deceased individuals or dissolved entities. (a) Payments... or is a dissolved entity if a representative, who currently has authority to enter into a contract...

7 CFR 760.115 - Deceased individuals or dissolved entities.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 7 Agriculture 7 2011-01-01 2011-01-01 false Deceased individuals or dissolved entities. 760.115... Agricultural Disaster Assistance Programs § 760.115 Deceased individuals or dissolved entities. (a) Payments... or is a dissolved entity if a representative, who currently has authority to enter into a contract...

42 CFR 410.145 - Requirements for entities.

Code of Federal Regulations, 2010 CFR

2010-10-01

... PROGRAM SUPPLEMENTARY MEDICAL INSURANCE (SMI) BENEFITS Outpatient Diabetes Self-Management Training and... documentation and is fully accredited (and periodically reaccredited) by an organization approved by CMS under § 410.142. (ii) The entity is not accredited by an organization that owns or controls the entity. (2...

42 CFR 410.145 - Requirements for entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... PROGRAM SUPPLEMENTARY MEDICAL INSURANCE (SMI) BENEFITS Outpatient Diabetes Self-Management Training and... documentation and is fully accredited (and periodically reaccredited) by an organization approved by CMS under § 410.142. (ii) The entity is not accredited by an organization that owns or controls the entity. (2...

Entity- Version 1.0

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hart, Brian; Oppel, Fred; Rigdon, Brian

2012-09-13

This package contains classes that capture high-level aspects of characters and vehicles. Vehicles manage seats and riders. Vehicles and characters now can be configured to compose different behaviors and have certain capabilities, by adding them through xml data. These behaviors and capabilities are not included in this package, but instead are part of other packages such as mobility behavior, path planning, sight, sound. Entity is not dependent on these other packages. This package also contains the icons used for Umbra applications Dante Scenario Editor, Dante Tabletop and OpShed. This assertion includes a managed C++ wrapper code (EntityWrapper) to enable C#more » applications, such as Dante Scenario Editor, Dante Tabletop, and OpShed, to incorporate this library.« less

76 FR 38053 - Defense Federal Acquisition Regulation Supplement; Successor Entities to the Netherlands Antilles...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-06-29

... Federal Acquisition Regulation Supplement; Successor Entities to the Netherlands Antilles (DFARS Case 2011... ``designated country'' due to the change in the political status of the islands that comprised the Netherlands..., 2010, Curacao and Sint Maarten became autonomous territories of the Kingdom of the Netherlands. Bonaire...

Case Report: A giant but silent adrenal pheochromocytoma – a rare entity

PubMed Central

Munakomi, Sunil; Rajbanshi, Saroj; Adhikary, Prof Shailesh

2016-01-01

Herein we report a rare entity of a giant adrenal pheochromocytoma in a fifty-year-old male presenting with a vague abdominal pain. A computerised tomogram of the abdomen revealed a well-defined  left supraadrenal giant lesion with no evidence of invasion to surrounding structures.The patient underwent surgical excision without any untoward postoperative events. Histopathological study revealed a benign pheochromocytoma. This report highlights the importance of acknowledging the fact that sometimes a giant adrenal pheochromocytoma can present with paucity of clinical  signs and symptoms.Thorough investigations and a multidisciplinary team approach may lead  to a better outcome in these patients. PMID:27785358

12 CFR 607.4 - Assessment of other System entities.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 12 Banks and Banking 6 2011-01-01 2011-01-01 false Assessment of other System entities. 607.4... APPORTIONMENT OF ADMINISTRATIVE EXPENSES § 607.4 Assessment of other System entities. (a)(1) Unless otherwise... section, other System entities will be assessed for estimated direct expenses plus an allocated portion of...

12 CFR 607.4 - Assessment of other System entities.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Assessment of other System entities. 607.4... APPORTIONMENT OF ADMINISTRATIVE EXPENSES § 607.4 Assessment of other System entities. (a)(1) Unless otherwise... section, other System entities will be assessed for estimated direct expenses plus an allocated portion of...

7 CFR 760.908 - Deceased individuals or dissolved entities.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 7 Agriculture 7 2010-01-01 2010-01-01 false Deceased individuals or dissolved entities. 760.908... § 760.908 Deceased individuals or dissolved entities. (a) Payments may be made for eligible losses suffered by an eligible participant who is now a deceased individual or is a dissolved entity if a...

7 CFR 1413.113 - Deceased individuals or dissolved entities.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 7 Agriculture 10 2011-01-01 2011-01-01 false Deceased individuals or dissolved entities. 1413.113... PROGRAMS Durum Wheat Quality Program § 1413.113 Deceased individuals or dissolved entities. (a) Payment may... individual or is a dissolved entity if a representative who currently has authority to enter into a contract...

7 CFR 760.908 - Deceased individuals or dissolved entities.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 7 Agriculture 7 2013-01-01 2013-01-01 false Deceased individuals or dissolved entities. 760.908... § 760.908 Deceased individuals or dissolved entities. (a) Payments may be made for eligible losses suffered by an eligible participant who is now a deceased individual or is a dissolved entity if a...

7 CFR 1413.113 - Deceased individuals or dissolved entities.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 7 Agriculture 10 2012-01-01 2012-01-01 false Deceased individuals or dissolved entities. 1413.113... PROGRAMS Durum Wheat Quality Program § 1413.113 Deceased individuals or dissolved entities. (a) Payment may... individual or is a dissolved entity if a representative who currently has authority to enter into a contract...

7 CFR 760.908 - Deceased individuals or dissolved entities.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 7 Agriculture 7 2012-01-01 2012-01-01 false Deceased individuals or dissolved entities. 760.908... § 760.908 Deceased individuals or dissolved entities. (a) Payments may be made for eligible losses suffered by an eligible participant who is now a deceased individual or is a dissolved entity if a...

7 CFR 1413.113 - Deceased individuals or dissolved entities.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 7 Agriculture 10 2013-01-01 2013-01-01 false Deceased individuals or dissolved entities. 1413.113... PROGRAMS Durum Wheat Quality Program § 1413.113 Deceased individuals or dissolved entities. (a) Payment may... individual or is a dissolved entity if a representative who currently has authority to enter into a contract...

7 CFR 760.908 - Deceased individuals or dissolved entities.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 7 Agriculture 7 2014-01-01 2014-01-01 false Deceased individuals or dissolved entities. 760.908... § 760.908 Deceased individuals or dissolved entities. (a) Payments may be made for eligible losses suffered by an eligible participant who is now a deceased individual or is a dissolved entity if a...

7 CFR 1413.113 - Deceased individuals or dissolved entities.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 7 Agriculture 10 2014-01-01 2014-01-01 false Deceased individuals or dissolved entities. 1413.113... PROGRAMS Durum Wheat Quality Program § 1413.113 Deceased individuals or dissolved entities. (a) Payment may... individual or is a dissolved entity if a representative who currently has authority to enter into a contract...

7 CFR 760.908 - Deceased individuals or dissolved entities.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 7 Agriculture 7 2011-01-01 2011-01-01 false Deceased individuals or dissolved entities. 760.908... § 760.908 Deceased individuals or dissolved entities. (a) Payments may be made for eligible losses suffered by an eligible participant who is now a deceased individual or is a dissolved entity if a...

42 CFR 410.144 - Quality standards for deemed entities.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 42 Public Health 2 2013-10-01 2013-10-01 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 quality...

42 CFR 410.144 - Quality standards for deemed entities.

Code of Federal Regulations, 2012 CFR

2012-10-01

... 42 Public Health 2 2012-10-01 2012-10-01 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 quality...

42 CFR 410.144 - Quality standards for deemed entities.

Code of Federal Regulations, 2010 CFR

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 quality...

42 CFR 410.144 - Quality standards for deemed entities.

Code of Federal Regulations, 2014 CFR

2014-10-01

... 42 Public Health 2 2014-10-01 2014-10-01 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 quality...

42 CFR 410.144 - Quality standards for deemed entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 42 Public Health 2 2011-10-01 2011-10-01 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 quality...

42 CFR 6.5 - Deeming process for eligible entities.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 42 Public Health 1 2010-10-01 2010-10-01 false Deeming process for eligible entities. 6.5 Section 6.5 Public Health PUBLIC HEALTH SERVICE, DEPARTMENT OF HEALTH AND HUMAN SERVICES GENERAL PROVISIONS... entities. Eligible entities will be covered by this part only on and after the effective date of a...

42 CFR 6.5 - Deeming process for eligible entities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 42 Public Health 1 2011-10-01 2011-10-01 false Deeming process for eligible entities. 6.5 Section 6.5 Public Health PUBLIC HEALTH SERVICE, DEPARTMENT OF HEALTH AND HUMAN SERVICES GENERAL PROVISIONS... entities. Eligible entities will be covered by this part only on and after the effective date of a...

7 CFR 1415.18 - Easement transfer to eligible entities.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 7 Agriculture 10 2011-01-01 2011-01-01 false Easement transfer to eligible entities. 1415.18... § 1415.18 Easement transfer to eligible entities. (a) NRCS may transfer title of ownership to an easement to an eligible entity to hold and enforce an easement if: (1) The Chief determines that transfer will...

The naming (and misnaming) of America

USGS Publications Warehouse

Wexler, Mark

1979-01-01

Jim Jam Ridge winds for several hundred feet a long a spectacular section of the High Sierra, near the heart of northern California's Mother Lode country. According to local historians, its name dates back to a night in the late 1800s when a drunk prospector rolled into a campfire, exploding a handful of rifle shells in his pocket. The fatal incident left his two partners with a severe case of the "jim jams" a common term in those days for the "shakes" and that's how the name took hold.

Cystic renal tumors: new entities and novel concepts.

PubMed

Moch, Holger

2010-05-01

Cystic renal neoplasms and renal epithelial stromal tumors are diagnostically challenging and represent some novel tumor entities. In this article, clinical and pathologic features of established and novel entities are discussed. Predominantly cystic renal tumors include cystic nephroma/mixed epithelial and stromal tumor, synovial sarcoma, and multilocular cystic renal cell carcinoma. These entities are own tumor entities of the 2004 WHO classification of renal tumors. Tubulocystic carcinoma and acquired cystic disease-associated renal cell carcinoma are neoplasms with an intrinsically cystic growth pattern. Both tumor types should be included in a future WHO classification as novel entities owing to their characteristic features. Cysts and clear cell renal cell carcinoma frequently coexist within the kidneys of patients with von Hippel-Lindau disease. Sporadic clear cell renal cell carcinomas often contain cysts, usually as a minor component. Some clear cell renal cell carcinomas have prominent cysts, and multilocular cystic renal cell carcinoma is composed almost exclusively of cysts. Recent molecular findings suggest that clear cell renal cancer may develop through cyst-dependent and cyst-independent molecular pathways.

22 CFR 140.6 - Foreign government entities.

Code of Federal Regulations, 2013 CFR

2013-04-01

... 22 Foreign Relations 1 2013-04-01 2013-04-01 false Foreign government entities. 140.6 Section 140... Enforcement § 140.6 Foreign government entities. (a) Determination Procedures. (1) The Country Narcotics... allegations that a key individual who is a senior government official of the host nation has been convicted of...

22 CFR 140.6 - Foreign government entities.

Code of Federal Regulations, 2012 CFR

2012-04-01

... 22 Foreign Relations 1 2012-04-01 2012-04-01 false Foreign government entities. 140.6 Section 140... Enforcement § 140.6 Foreign government entities. (a) Determination Procedures. (1) The Country Narcotics... allegations that a key individual who is a senior government official of the host nation has been convicted of...

22 CFR 140.6 - Foreign government entities.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 22 Foreign Relations 1 2011-04-01 2011-04-01 false Foreign government entities. 140.6 Section 140... Enforcement § 140.6 Foreign government entities. (a) Determination Procedures. (1) The Country Narcotics... allegations that a key individual who is a senior government official of the host nation has been convicted of...

14 CFR Sec. 1-6 - Accounting entities.

Code of Federal Regulations, 2010 CFR

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 air...

7 CFR 795.6 - Multiple individuals or other entities.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 7 Agriculture 7 2010-01-01 2010-01-01 false Multiple individuals or other entities. 795.6 Section... Multiple individuals or other entities. The rules in §§ 795.5 through 795.16 shall be used to determine whether certain multiple individuals or legal entities are to be treated as one person or as separate...

Time to Redefine the Intramammary Lymph Node as a Separate Entity?

PubMed

Green, M; Tafazal, H; Swati, B; Vidya, R

2018-04-17

The lymphatic drainage for the majority of primary breast tumours is to the axillary lymph nodes (ALNs). Some, however drain to the so-called extra-axillary basins, namely the internal mammary, supra- and infraclavicular regions. Another potential drainage route includes the intramammary lymph nodes (IMLNs). Current guidance suggests IMLNs should be considered as part of the axillary group, potentially affecting axillary management. However, due to evolution in imaging and advancement in technology, IMLNs may now be distinguished more accurately pre-operatively. There are currently no published guidelines for the management of IMLNs in the United Kingdom. The authors suggest that it is time to reclassify IMLNs as a separate focus of cancer and treat it as a separate entity. This article is protected by copyright. All rights reserved. © 2018 Wiley Periodicals, Inc.

Is naming faces different from naming objects? Semantic interference in a face- and object-naming task.

PubMed

Marful, Alejandra; Paolieri, Daniela; Bajo, M Teresa

2014-04-01

A current debate regarding face and object naming concerns whether they are equally vulnerable to semantic interference. Although some studies have shown similar patterns of interference, others have revealed different effects for faces and objects. In Experiment 1, we compared face naming to object naming when exemplars were presented in a semantically homogeneous context (grouped by their category) or in a semantically heterogeneous context (mixed) across four cycles. The data revealed significant slowing for both face and object naming in the homogeneous context. This semantic interference was explained as being due to lexical competition from the conceptual activation of category members. When focusing on the first cycle, a facilitation effect for objects but not for faces appeared. This result permits us to explain the previously observed discrepancies between face and object naming. Experiment 2 was identical to Experiment 1, with the exception that half of the stimuli were presented as face/object names for reading. Semantic interference was present for both face and object naming, suggesting that faces and objects behave similarly during naming. Interestingly, during reading, semantic interference was observed for face names but not for object names. This pattern is consistent with previous assumptions proposing the activation of a person identity during face name reading.

26 CFR 53.4965-2 - Covered tax-exempt entities.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 26 Internal Revenue 17 2011-04-01 2011-04-01 false Covered tax-exempt entities. 53.4965-2 Section... Covered tax-exempt entities. (a) In general. Under section 4965(c), the term “tax-exempt entity” refers to entities that are described in sections 501(c), 501(d), or 170(c) (other than the United States), Indian...

The Effect of Realistic Contexts on Ontological Judgments of Novel Entities.

PubMed

Van Reet, Jennifer; Pinkham, Ashley M; Lillard, Angeline S

2015-01-01

Although a great deal of research has focused on ontological judgments in preschoolers, very little has examined ontological judgments in older children. The present study asked 10-year-olds and adults (N = 94) to judge the reality status of known real, known imagined, and novel entities presented in simple and elaborate contexts and to explain their judgments. Although judgments were generally apt, participants were more likely to endorse imagined and novel entities when the entities were presented in elaborate contexts. When asked to explain their reasoning, participants at both ages cited firsthand experience for real entities and general knowledge for imagined entities. For novel entities, participants referred most to indirect experiences when entities were presented in simple contexts and to general knowledge when those entities were presented in elaborate contexts. These results suggest that rich contextual information continues to be an important influence on ontological judgments past the preschool years.

Primary intraosseous squamous cell carcinoma in odontogenic keratocyst: A rare entity

PubMed Central

Saxena, Chitrapriya; Aggarwal, Pooja; Wadhwan, Vijay; Bansal, Vishal

2015-01-01

Squamous cell carcinoma (SCC) arising from the wall of an odontogenic cyst (also known as primary intraosseous carcinoma) is a rare tumor which occurs only in jaw bones. This tumor was first described by Loos in 1913 as a central epidermoid carcinoma of the jaw. Primary intraosseous carcinomas (PIOC) may theoretically arise from the lining of an odontogenic cyst or de novo from presumed odontogenic cell rests. According to the new histological classification of tumors of the World Health Organization, odontogenic keratocyst is nowadays considered a specific odontogenic tumor and the PIOC derived from it is considered as a specific entity which is different from other PIOCs derived from the odontogenic cysts. The following report describes a case of such extremely rare entity that is primary intraosseous SCC of the mandible derived from an OKC in a 60-year-old male patient with brief review of literature. PMID:26980976

Enhancement of Chemical Entity Identification in Text Using Semantic Similarity Validation

PubMed Central

Grego, Tiago; Couto, Francisco M.

2013-01-01

With the amount of chemical data being produced and reported in the literature growing at a fast pace, it is increasingly important to efficiently retrieve this information. To tackle this issue text mining tools have been applied, but despite their good performance they still provide many errors that we believe can be filtered by using semantic similarity. Thus, this paper proposes a novel method that receives the results of chemical entity identification systems, such as Whatizit, and exploits the semantic relationships in ChEBI to measure the similarity between the entities found in the text. The method assigns a single validation score to each entity based on its similarities with the other entities also identified in the text. Then, by using a given threshold, the method selects a set of validated entities and a set of outlier entities. We evaluated our method using the results of two state-of-the-art chemical entity identification tools, three semantic similarity measures and two text window sizes. The method was able to increase precision without filtering a significant number of correctly identified entities. This means that the method can effectively discriminate the correctly identified chemical entities, while discarding a significant number of identification errors. For example, selecting a validation set with 75% of all identified entities, we were able to increase the precision by 28% for one of the chemical entity identification tools (Whatizit), maintaining in that subset 97% the correctly identified entities. Our method can be directly used as an add-on by any state-of-the-art entity identification tool that provides mappings to a database, in order to improve their results. The proposed method is included in a freely accessible web tool at www.lasige.di.fc.ul.pt/webtools/ice/. PMID:23658791

The Effect of Realistic Contexts on Ontological Judgments of Novel Entities

PubMed Central

Van Reet, Jennifer; Pinkham, Ashley M.; Lillard, Angeline S.

2014-01-01

Although a great deal of research has focused on ontological judgments in preschoolers, very little has examined ontological judgments in older children. The present study asked 10-year-olds and adults (N = 94) to judge the reality status of known real, known imagined, and novel entities presented in simple and elaborate contexts and to explain their judgments. Although judgments were generally apt, participants were more likely to endorse imagined and novel entities when the entities were presented in elaborate contexts. When asked to explain their reasoning, participants at both ages cited firsthand experience for real entities and general knowledge for imagined entities. For novel entities, participants referred most to indirect experiences when entities were presented in simple contexts and to general knowledge when those entities were presented in elaborate contexts. These results suggest that rich contextual information continues to be an important influence on ontological judgments past the preschool years. PMID:25914442

High-recall protein entity recognition using a dictionary

PubMed Central

Kou, Zhenzhen; Cohen, William W.; Murphy, Robert F.

2010-01-01

Protein name extraction is an important step in mining biological literature. We describe two new methods for this task: semiCRFs and dictionary HMMs. SemiCRFs are a recently-proposed extension to conditional random fields that enables more effective use of dictionary information as features. Dictionary HMMs are a technique in which a dictionary is converted to a large HMM that recognizes phrases from the dictionary, as well as variations of these phrases. Standard training methods for HMMs can be used to learn which variants should be recognized. We compared the performance of our new approaches to that of Maximum Entropy (Max-Ent) and normal CRFs on three datasets, and improvement was obtained for all four methods over the best published results for two of the datasets. CRFs and semiCRFs achieved the highest overall performance according to the widely-used F-measure, while the dictionary HMMs performed the best at finding entities that actually appear in the dictionary—the measure of most interest in our intended application. PMID:15961466

26 CFR 301.7701(i)-4 - Special rules for certain entities.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 26 Internal Revenue 18 2010-04-01 2010-04-01 false Special rules for certain entities. 301.7701(i... rules for certain entities. (a) States and municipalities—(1) In general. Regardless of whether an entity satisfies any of the requirements of section 7701(i)(2)(A), an entity is not classified as a...

A Rare Entity: Bilateral First Rib Fractures Accompanying Bilateral Scapular Fractures.

PubMed

Gulbahar, Gultekin; Kaplan, Tevfik; Turker, Hasan Bozkurt; Gundogdu, Ahmet Gokhan; Han, Serdar

2015-01-01

First rib fractures are scarce due to their well-protected anatomic locations. Bilateral first rib fractures accompanying bilateral scapular fractures are very rare, although they may be together with scapular and clavicular fractures. According to our knowledge, no case of bilateral first rib fractures accompanying bilateral scapular fractures has been reported, so we herein discussed the diagnosis, treatment, and complications of bone fractures due to thoracic trauma in bias of this rare entity.

A Rare Entity: Bilateral First Rib Fractures Accompanying Bilateral Scapular Fractures

PubMed Central

Gulbahar, Gultekin; Kaplan, Tevfik; Turker, Hasan Bozkurt; Gundogdu, Ahmet Gokhan; Han, Serdar

2015-01-01

First rib fractures are scarce due to their well-protected anatomic locations. Bilateral first rib fractures accompanying bilateral scapular fractures are very rare, although they may be together with scapular and clavicular fractures. According to our knowledge, no case of bilateral first rib fractures accompanying bilateral scapular fractures has been reported, so we herein discussed the diagnosis, treatment, and complications of bone fractures due to thoracic trauma in bias of this rare entity. PMID:26175916

Rendering of Names of Corporate Bodies. Subject Analysis, With Special Reference to Social Sciences. Documentation Systems for Industry (8th Annual Seminar). Part 1: Papers.

ERIC Educational Resources Information Center

Documentation Research and Training Centre, Bangalore (India).

The four sections of the report cover the topics of cataloging, subject analysis, documentation systems for industry and the Documentation Research and Training Centre (DRTC) research report for 1970. The cataloging section covers the conflicts of cataloging, recall, corporate bodies, titles, publishers series and the entity name. The subject…

What's in a Name?-Consequences of Naming Non-Human Animals.

PubMed

Borkfelt, Sune

2011-01-19

The act of naming is among the most basic actions of language. Indeed, it is naming something that enables us to communicate about it in specific terms, whether the object named is human or non-human, animate or inanimate. However, naming is not as uncomplicated as we may usually think and names have consequences for the way we think about animals (human and non-human), peoples, species, places, things etc. Through a blend of history, philosophy and representational theory-and using examples from, among other things, the Bible, Martin Luther, colonialism/imperialism and contemporary ways of keeping and regarding non-human animals-this paper attempts to trace the importance of (both specific and generic) naming to our relationships with the non-human. It explores this topic from the naming of the animals in Genesis to the names given and used by scientists, keepers of companion animals, media etc. in our societies today, and asks the question of what the consequences of naming non-human animals are for us, for the beings named and for the power relations between our species and the non-human species and individuals we name.

29 CFR 1635.6 - Causing a covered entity to discriminate.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 29 Labor 4 2014-07-01 2014-07-01 false Causing a covered entity to discriminate. 1635.6 Section 1635.6 Labor Regulations Relating to Labor (Continued) EQUAL EMPLOYMENT OPPORTUNITY COMMISSION GENETIC INFORMATION NONDISCRIMINATION ACT OF 2008 § 1635.6 Causing a covered entity to discriminate. A covered entity...

29 CFR 1635.6 - Causing a covered entity to discriminate.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 29 Labor 4 2013-07-01 2013-07-01 false Causing a covered entity to discriminate. 1635.6 Section 1635.6 Labor Regulations Relating to Labor (Continued) EQUAL EMPLOYMENT OPPORTUNITY COMMISSION GENETIC INFORMATION NONDISCRIMINATION ACT OF 2008 § 1635.6 Causing a covered entity to discriminate. A covered entity...

29 CFR 1635.6 - Causing a covered entity to discriminate.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 29 Labor 4 2012-07-01 2012-07-01 false Causing a covered entity to discriminate. 1635.6 Section 1635.6 Labor Regulations Relating to Labor (Continued) EQUAL EMPLOYMENT OPPORTUNITY COMMISSION GENETIC INFORMATION NONDISCRIMINATION ACT OF 2008 § 1635.6 Causing a covered entity to discriminate. A covered entity...

29 CFR 1635.6 - Causing a covered entity to discriminate.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 29 Labor 4 2011-07-01 2011-07-01 false Causing a covered entity to discriminate. 1635.6 Section 1635.6 Labor Regulations Relating to Labor (Continued) EQUAL EMPLOYMENT OPPORTUNITY COMMISSION GENETIC INFORMATION NONDISCRIMINATION ACT OF 2008 § 1635.6 Causing a covered entity to discriminate. A covered entity...

7 CFR 652.23 - Certification process for private-sector entities.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 7 Agriculture 6 2010-01-01 2010-01-01 false Certification process for private-sector entities. 652... ASSISTANCE Certification § 652.23 Certification process for private-sector entities. (a) A private sector... individual basis as part of the private-sector entity's certification and ensures that the requirements set...

The emergence of overweight as a disease entity: measuring up normality.

PubMed

Jutel, Annemarie

2006-11-01

As Charles Rosenberg [(2002). The tyranny of diagnosis. The Milbank Quarterly, 80, 237-260] has recently written, clinical diagnosis contributes to imposing structure on cultural reality in a manner which is not unproblematic. A social power resides in the process of naming diseases-one, which legitimises concerns, explains reality, naturalises deviance and imposes status. But clinical entities are not static, as both the concerns of society, and the technological ability of practitioners change (what Rosenberg refers to as the "iatrogenesis of nosology"), so too do the range of labels available for identifying disease. In this paper, I argue that being "overweight," once predominantly an adjectival descriptor of corpulence, a physical sign or a symptom, and even, in some cultures, a sign of wealth and status, is undergoing the transformation to disease entity. I suggest that evidence of this is present in both the frequency and the way in which the term is being used by the media, the medical establishment and the laity. I argue that this change stems from the convergence of two particular phenomena. The first is the belief in the neutrality of quantification, and the objectivity that measurement brings to qualitative description. The second is the importance attributed to normative appearance in health. I discuss some of the implications of this evolution and its impact on health practices, including the exploitation of this purported disease state for commercial benefit.

Facility Name | Research Site Name | NREL

Science.gov Websites

ex ea commodo consequat. Images should have a width of 1746px - height can vary Capabilities Capability 1 Capability 2 Capability 3 Testing Facilities and Laboratories Laboratory Name Images should have a width of 768px - height can vary Download fact sheet Laboratory Name Images should have a width of

77 FR 27551 - Federal Acquisition Regulation; Federal Acquisition Circular 2005-59; Small Entity Compliance Guide

Federal Register 2010, 2011, 2012, 2013, 2014

2012-05-10

.... Colombia. III Revision of Cost 2012-003 Chambers. Accounting Standards Threshold. SUPPLEMENTARY INFORMATION... economic impact on a substantial number of small entities. Item III--Revision of Cost Accounting Standards Threshold (FAR Case 2012-003) This final rule revises the cost accounting standards (CAS) threshold in order...

14 CFR Sec. 2-2 - Basis of allocation between entities.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 14 Aeronautics and Space 4 2011-01-01 2011-01-01 false Basis of allocation between entities. Sec... AIR CARRIERS General Accounting Provisions Sec. 2-2 Basis of allocation between entities. (a) The... the air carrier, as well as each transport entity and organizational division of the air carrier for...

12 CFR 1227.4 - Regulated entity reports on covered misconduct.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 12 Banks and Banking 10 2014-01-01 2014-01-01 false Regulated entity reports on covered misconduct... COUNTERPARTY PROGRAM General § 1227.4 Regulated entity reports on covered misconduct. (a) General. A regulated... the past three (3) years has engaged in covered misconduct. A regulated entity is aware of covered...

17 CFR Appendix A to Part 420 - Separate Reporting Entity

Code of Federal Regulations, 2010 CFR

2010-04-01

... reporting rules; (3) Decisions related to the purchase, sale or retention of Treasury securities must be made by employees of such entity(ies). Employees of such entity(ies) who make decisions to purchase or...) The records of such entity(ies) related to the ownership, financing, purchase and sale of Treasury...

Effects of Minority Status on Facial Recognition and Naming Performance.

ERIC Educational Resources Information Center

Roberts, Richard J.; Hamsher, Kerry

1984-01-01

Examined the differential effects of minority status in Blacks (N=94) on a facial recognition test and a naming test. Results showed that performance on the facial recognition test was relatively free of racial bias, but this was not the case for visual naming. (LLL)

Segmental stiff skin syndrome (SSS): A distinct clinical entity.

PubMed

Myers, Kathryn L; Mir, Adnan; Schaffer, Julie V; Meehan, Shane A; Orlow, Seth J; Brinster, Nooshin K

2016-07-01

Stiff skin syndrome (SSS) is a noninflammatory, fibrosing condition of the skin, often affecting the limb girdles. We present 4 new patients with SSS with largely unilateral, segmental distribution. To date, reported cases of SSS have been grouped based on generally accepted clinical and histopathologic findings. The purpose of this study was to analyze differences in clinical and histopathologic findings between previously reported SSS cases. This is a retrospective review of 4 new cases and 48 previously published cases of SSS obtained from PubMed search. Of 52 total cases, 18 (35%) were segmentally distributed and 34 (65%) were widespread. The average age of onset was 4.1 years versus 1.6 years for segmental versus widespread SSS, respectively. Limitation in joint mobility affected 44% of patients with segmental SSS and 97% of patients with widespread SSS. Histopathologic findings were common between the 2 groups. This was a retrospective study of previously published cases limited by the completeness and accuracy of the reviewed cases. We propose a distinct clinical entity, segmental SSS, characterized by a segmental distribution, later age of onset, and less severe functional limitation. Both segmental SSS and widespread SSS share common diagnostic histopathologic features. Copyright © 2016 American Academy of Dermatology, Inc. All rights reserved.

What's in a Name? The 1940s-1950s "Squaw Dress"

ERIC Educational Resources Information Center

Parezo, Nancy J.; Jones, Angelina R.

2009-01-01

Many commercial images and names linked to Native Americans are created for and perpetuated by popular culture and stem from past linguistic usage. In this article the authors present a case study of the questionable naming and the quiet, almost unnoticed, righting of a name for a Native derived garment in the American clothing industry, the…

78 FR 45051 - Unincorporated Business Entities; Effective Date

Federal Register 2010, 2011, 2012, 2013, 2014

2013-07-26

... under State law for certain business activities. In accordance with the law, the effective date of the...) institutions' use of unincorporated business entities (UBEs) organized under State law for certain business... business entities, such as unincorporated business trusts, organized under State law. The final rule does...

17 CFR 49.6 - Registration of successor entities.

Code of Federal Regulations, 2012 CFR

2012-04-01

... 17 Commodity and Securities Exchanges 1 2012-04-01 2012-04-01 false Registration of successor entities. 49.6 Section 49.6 Commodity and Securities Exchanges COMMODITY FUTURES TRADING COMMISSION SWAP DATA REPOSITORIES § 49.6 Registration of successor entities. (a) In the event of a corporate...

17 CFR 49.6 - Registration of successor entities.

Code of Federal Regulations, 2013 CFR

2013-04-01

... 17 Commodity and Securities Exchanges 1 2013-04-01 2013-04-01 false Registration of successor entities. 49.6 Section 49.6 Commodity and Securities Exchanges COMMODITY FUTURES TRADING COMMISSION SWAP DATA REPOSITORIES § 49.6 Registration of successor entities. (a) In the event of a corporate...

15 CFR 744.10 - Restrictions on certain entities in Russia.

Code of Federal Regulations, 2011 CFR

2011-01-01

... Russia. 744.10 Section 744.10 Commerce and Foreign Trade Regulations Relating to Commerce and Foreign... REGULATIONS CONTROL POLICY: END-USER AND END-USE BASED § 744.10 Restrictions on certain entities in Russia. (a) General prohibition. Certain entities in Russia are included in supplement No. 4 to this part 744 (Entity...

15 CFR 744.10 - Restrictions on certain entities in Russia.

Code of Federal Regulations, 2012 CFR

2012-01-01

... Russia. 744.10 Section 744.10 Commerce and Foreign Trade Regulations Relating to Commerce and Foreign... REGULATIONS CONTROL POLICY: END-USER AND END-USE BASED § 744.10 Restrictions on certain entities in Russia. (a) General prohibition. Certain entities in Russia are included in Supplement No. 4 to this part 744 (Entity...