Al-Ahmari, S. Saad; Abdullatif Al-Johar, B.
Named Entity Recognition (NER) plays an important role in many Natural Language Processing (NLP) applications such as; Information Extraction (IE), Question Answering (QA), Text Clustering, Text Summarization and Word Sense Disambiguation. This paper presents the development and implementation of domain independent system to recognize three types of Arabic named entities. The system works based on a set of domain independent grammar-rules along with Arabic part of speech tagger in addition to gazetteers and lists of trigger words. The experimental results shown, that the system performed as good as other systems with better results in some cases of cross-domains corpora.
Al-Ahmari, S. Saad
Named Entity Recognition (NER) plays an important role in many Natural Language Processing (NLP) applications such as; Information Extraction (IE), Question Answering (QA), Text Clustering, Text Summarization and Word Sense Disambiguation. This paper presents the development and implementation of domain independent system to recognize three types of Arabic named entities. The system works based on a set of domain independent grammar-rules along with Arabic part of speech tagger in addition to gazetteers and lists of trigger words. The experimental results shown, that the system performed as good as other systems with better results in some cases of cross-domains corpora. © (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Al-Ahmari, S. Saad; Abdullatif Al-Johar, B.
Named Entity Recognition (NER) plays an important role in many Natural Language Processing (NLP) applications such as; Information Extraction (IE), Question Answering (QA), Text Clustering, Text Summarization and Word Sense Disambiguation. This paper presents the development and implementation of domain independent system to recognize three types of Arabic named entities. The system works based on a set of domain independent grammar-rules along with Arabic part of speech tagger in addition to gazetteers and lists of trigger words. The experimental results shown, that the system performed as good as other systems with better results in some cases of cross-domains corpora. © (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
De Waal, AJ
Full Text Available Named Entity Recognition (NER) is the process of identifying occurrences of words or expressions as belonging to a particular category of a Named Entity (NE).The aim of the project was to test the feasibility of a probabilistic NER system using...
Nowadays, Named Entity Recognition (NER) system is used in medical texts to obtain important medical information, like diseases, symptoms, and drugs. While most NER systems are applied to formal medical texts, informal ones like those from social media (also called semi-formal texts) are starting to get recognition as a gold mine for medical information. We propose a theoretical Named Entity Recognition (NER) model for semi-formal medical texts in our medical knowledge management system by comparing two kinds of word representations: cluster-based word representation and distributed representation.
Qu, Lizhen; Ferraro, Gabriela; Zhou, Liyuan; Hou, Weiwei; Baldwin, Timothy
In named entity recognition, we often don't have a large in-domain training corpus or a knowledge base with adequate coverage to train a model directly. In this paper, we propose a method where, given training data in a related domain with similar (but not identical) named entity (NE) types and a small amount of in-domain training data, we use transfer learning to learn a domain-specific NE model. That is, the novelty in the task setup is that we assume not just domain mismatch, but also labe...
Biomedical named entity recognition (BNER), which extracts important named entities such as genes and proteins, is a challenging task in automated systems that mine knowledge in biomedical texts. The previous state-of-the-art systems required large amounts of task-specific knowledge in the form of feature engineering, lexicons and data pre-processing to achieve high performance. In this paper, we introduce a novel neural network architecture that benefits from both word- and character-level representations automatically, by using a combination of bidirectional long short-term memory (LSTM) and conditional random field (CRF) eliminating the need for most feature engineering tasks. We evaluate our system on two datasets: JNLPBA corpus and the BioCreAtIvE II Gene Mention (GM) corpus. We obtained state-of-the-art performance by outperforming the previous systems. To the best of our knowledge, we are the first to investigate the combination of deep neural networks, CRF, word embeddings and character-level representation in recognizing biomedical named entities. Copyright © 2017 Elsevier Inc. All rights reserved.
Habibi, Maryam; Weber, Leon; Neves, Mariana; Wiegandt, David Luis; Leser, Ulf
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/ . email@example.com. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: firstname.lastname@example.org
Full Text Available Biomedical Text Mining targets the Extraction of significant information from biomedical archives. Bio TM encompasses Information Retrieval (IR and Information Extraction (IE. The Information Retrieval will retrieve the relevant Biomedical Literature documents from the various Repositories like PubMed, MedLine etc., based on a search query. The IR Process ends up with the generation of corpus with the relevant document retrieved from the Publication databases based on the query. The IE task includes the process of Preprocessing of the document, Named Entity Recognition (NER from the documents and Relationship Extraction. This process includes Natural Language Processing, Data Mining techniques and machine Language algorithm. The preprocessing task includes tokenization, stop word Removal, shallow parsing, and Parts-Of-Speech tagging. NER phase involves recognition of well-defined objects such as genes, proteins or cell-lines etc. This process leads to the next phase that is extraction of relationships (IE. The work was based on machine learning algorithm Conditional Random Field (CRF.
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.
Han, Xu; Kim, Jung-jae; Kwoh, Chee Keong
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
Full Text Available Chemistry text mining tools should be interoperable and adaptable regardless of system-level implementation, installation or even programming issues. We aim to abstract the functionality of these tools from the underlying implementation via reconfigurable workflows for automatically identifying chemical names. To achieve this, we refactored an established named entity recogniser (in the chemistry domain, OSCAR and studied the impact of each component on the net performance. We developed two reconfigurable workflows from OSCAR using an interoperable text mining framework, U-Compare. These workflows can be altered using the drag-&-drop mechanism of the graphical user interface of U-Compare. These workflows also provide a platform to study the relationship between text mining components such as tokenisation and named entity recognition (using maximum entropy Markov model (MEMM and pattern recognition based classifiers. Results indicate that, for chemistry in particular, eliminating noise generated by tokenisation techniques lead to a slightly better performance than others, in terms of named entity recognition (NER accuracy. Poor tokenisation translates into poorer input to the classifier components which in turn leads to an increase in Type I or Type II errors, thus, lowering the overall performance. On the Sciborg corpus, the workflow based system, which uses a new tokeniser whilst retaining the same MEMM component, increases the F-score from 82.35% to 84.44%. On the PubMed corpus, it recorded an F-score of 84.84% as against 84.23% by OSCAR.
Full Text Available Many researchers focus on developing protein-named entity recognition (Protein-NER or PPI extraction systems. However, the studies about these two topics cannot be merged well; then existing PPI extraction systems’ Protein-NER still needs to improve. In this paper, we developed the protein-protein interaction extraction system named PPIMiner based on Support Vector Machine (SVM and parsing tree. PPIMiner consists of three main models: natural language processing (NLP model, Protein-NER model, and PPI discovery model. The Protein-NER model, which is named ProNER, identifies the protein names based on two methods: dictionary-based method and machine learning-based method. ProNER is capable of identifying more proteins than dictionary-based Protein-NER model in other existing systems. The final discovered PPIs extracted via PPI discovery model are represented in detail because we showed the protein interaction types and the occurrence frequency through two different methods. In the experiments, the result shows that the performances achieved by our ProNER and PPI discovery model are better than other existing tools. PPIMiner applied this protein-named entity recognition approach and parsing tree based PPI extraction method to improve the performance of PPI extraction. We also provide an easy-to-use interface to access PPIs database and an online system for PPIs extraction and Protein-NER.
Full Text Available Abstract Background Gene named entity classification and recognition are crucial preliminary steps of text mining in biomedical literature. Machine learning based methods have been used in this area with great success. In most state-of-the-art systems, elaborately designed lexical features, such as words, n-grams, and morphology patterns, have played a central part. However, this type of feature tends to cause extreme sparseness in feature space. As a result, out-of-vocabulary (OOV terms in the training data are not modeled well due to lack of information. Results We propose a general framework for gene named entity representation, called feature coupling generalization (FCG. The basic idea is to generate higher level features using term frequency and co-occurrence information of highly indicative features in huge amount of unlabeled data. We examine its performance in a named entity classification task, which is designed to remove non-gene entries in a large dictionary derived from online resources. The results show that new features generated by FCG outperform lexical features by 5.97 F-score and 10.85 for OOV terms. Also in this framework each extension yields significant improvements and the sparse lexical features can be transformed into both a lower dimensional and more informative representation. A forward maximum match method based on the refined dictionary produces an F-score of 86.2 on BioCreative 2 GM test set. Then we combined the dictionary with a conditional random field (CRF based gene mention tagger, achieving an F-score of 89.05, which improves the performance of the CRF-based tagger by 4.46 with little impact on the efficiency of the recognition system. A demo of the NER system is available at http://188.8.131.52:8080/bioner.
Proper Names and Named Entities Recognition in the Automatic Text Processing. Review of the book: Nouvel, D., Ehrmann, M., & Rosset, S. (2016. Named Entities for Computational Linguistics. London; Hoboken: ISTE Ltd; John Wiley & Sons, Inc., 2016.
Daria M. Golikova
Full Text Available The reviewed book by Damien Nouvel, Maud Ehrmann, and Sophie Rosset Named Entities for Computational Linguistics deals with automatic processing of texts, written in a natural language, and with named entities recognition, aimed at extracting most important information in these texts. The notion of named entities here extends to the entire set of linguistic units referring to an object. The researchers minutely consider the concept of named entities, juxtaposing this category to that of proper names and comparing their definitions, and describe all the stages of creation and implementation of automatic text annotation algorithms, as well as different ways of evaluating their performance quality. Proper names, in this context, are seen as a particular instance of named entities, one of the typical sources of reference to real objects to be electronically recognized in the text. The book provides a detailed overview and analysis of previous studies in the same field, based mainly on the English language data. It presents instruments and resources required to create and implement the algorithms in question, these may include typologies, knowledge or databases, and various types of corpora. Theoretical considerations, proposed by the authors, are supported by a significant number of exemplary cases, with algorithms operation principles presented in charts. The reviewed book gives quite a comprehensive picture of modern computational linguistic studies focused on named entities recognition and indicates some problems which are unresolved as yet.
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.
Jimeno, Antonio; Jimenez-Ruiz, Ernesto; Lee, Vivian; Gaudan, Sylvain; Berlanga, Rafael; Rebholz-Schuhmann, Dietrich
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
Full Text Available Named Entity Recognition (NER is a main task into Natural Language Processing. On the one hand, supporting the extraction of the information on unstructured data. On the other hand, The NER is a probabilistic graphical model that allows us to represent the conditional independency assumptions into the sequential labelling. In this paper, we propose a discriminative graphical model by using linear-chain Conditional Random Fields (CRFs. We present the experiments based on the Conll-2002 shared task and Ancora corpus according to the following criteria: recall, precision and F-score. Our contributions in this work are the following: first, we tested our baseline on the CoNLL-2002 shared task obtaining 80% F1-measure, and 59% F1-measure on AnCora corpus respectively. Finally, the application Vigtech allow us to identify information and patterns in the cancer topic, we discuss the results according to the model performance and the useful information to support the forecasting process
Zhao, Zhehuan; Yang, Zhihao; Luo, Ling; Wang, Lei; Zhang, Yin; Lin, Hongfei; Wang, Jian
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.
Full Text Available Abstract Background Biomedical named entity recognition (Bio-NER is a challenging problem because, in general, biomedical named entities of the same category (e.g., proteins and genes do not follow one standard nomenclature. They have many irregularities and sometimes appear in ambiguous contexts. In recent years, machine-learning (ML approaches have become increasingly common and now represent the cutting edge of Bio-NER technology. This paper addresses three problems faced by ML-based Bio-NER systems. First, most ML approaches usually employ singleton features that comprise one linguistic property (e.g., the current word is capitalized and at least one class tag (e.g., B-protein, the beginning of a protein name. However, such features may be insufficient in cases where multiple properties must be considered. Adding conjunction features that contain multiple properties can be beneficial, but it would be infeasible to include all conjunction features in an NER model since memory resources are limited and some features are ineffective. To resolve the problem, we use a sequential forward search algorithm to select an effective set of features. Second, variations in the numerical parts of biomedical terms (e.g., "2" in the biomedical term IL2 cause data sparseness and generate many redundant features. In this case, we apply numerical normalization, which solves the problem by replacing all numerals in a term with one representative numeral to help classify named entities. Third, the assignment of NE tags does not depend solely on the target word's closest neighbors, but may depend on words outside the context window (e.g., a context window of five consists of the current word plus two preceding and two subsequent words. We use global patterns generated by the Smith-Waterman local alignment algorithm to identify such structures and modify the results of our ML-based tagger. This is called pattern-based post-processing. Results To develop our ML
Tsai, Richard Tzong-Han; Sung, Cheng-Lung; Dai, Hong-Jie; Hung, Hsieh-Chuan; Sung, Ting-Yi; Hsu, Wen-Lian
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
M. F. Panteleev
Full Text Available In the tasks of processing text in natural language, Named Entity Linking (NEL represents the task to define and link some entity, which is found in the text, with some entity in the knowledge base (for example, Dbpedia. Currently, there is a diversity of approaches to solve this problem, but two main classes can be identified: graph-based approaches and machine learning-based ones. Graph and Machine Learning approaches-based algorithm is proposed accordingly to the stated assumptions about the interrelations of named entities in a sentence and in general.In the case of graph-based approaches, it is necessary to solve the problem of identifying an optimal set of the related entities according to some metric that characterizes the distance between these entities in a graph built on some knowledge base. Due to limitations in processing power, to solve this task directly is impossible. Therefore, its modification is proposed. Based on the algorithms of machine learning, an independent solution cannot be built due to small volumes of training datasets relevant to NEL task. However, their use can contribute to improving the quality of the algorithm. The adaptation of the Latent Dirichlet Allocation model is proposed in order to obtain a measure of the compatibility of attributes of various entities encountered in one context.The efficiency of the proposed algorithm was experimentally tested. A test dataset was independently generated. On its basis the performance of the model was compared using the proposed algorithm with the open source product DBpedia Spotlight, which solves the NEL problem.The mockup, based on the proposed algorithm, showed a low speed as compared to DBpedia Spotlight. However, the fact that it has shown higher accuracy, stipulates the prospects for work in this direction.The main directions of development were proposed in order to increase the accuracy of the system and its productivity.
Chen, Yukun; Lasko, Thomas A; Mei, Qiaozhu; Denny, Joshua C; Xu, Hua
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
Jijkoun, V.; Khalid, M.A.; Marx, M.; de Rijke, M.
Named entity recognition is important for semantically oriented retrieval tasks, such as question answering, entity retrieval, biomedical retrieval, trend detection, and event and entity tracking. In many of these tasks it is important to be able to accurately normalize the recognized entities,
Full Text Available Background Anterior temporal lobe (aTL damage often results in semantic impairment. As such, the contribution of this region to semantic processing has received considerable attention. Two theories exist to explain aTL function based on conflicting neuropsychological investigations. The first proposes bilateral aTLs form a “hub” implicated in multimodal semantics (for review see: Jefferies, 2013. The second assumes distinct functions. The left is thought to function as a repertoire for knowledge of entities with unique lexical-conceptual associations (for review: Ross & Olson, 2012. These items represent an extreme end of a continuum of semantic specificity spanning unique (e.g., Eiffel Tower over less specific (e.g., tower to nonspecific (e.g., landmark – often denoted by famous faces, landmarks and proper names. LaTL function, therefore, is to link semantics to language systems for naming, whilst RaTL is involved in familiarity and recognition (e.g., Eiffel Tower -> a building in Paris; Drane et al., 2013. Evidence for each theory has proceeded in parallel but there has been no attempt to directly test them in a patient (Simmons & Martin, 2009. The novelty of this study, therefore, was to determine whether LaTL lesions disproportionately affect unique entity naming vs. recognition. Method WRP, a 51year old right-handed male, three year post-HSVE has a LaTL lesion with destruction of the temporal pole, extending to medial temporal, amygdala and hippocampus and atypical connectivity particularly involving the uncinate fasciculas. There is no evidence of either cortical or white matter damage in the right hemisphere. Previous work with WRP revealed a mild/moderate category-specific semantic deficit (Roberts et al., 2012. This new study focuses on unique entity picture naming, recognition and word-to-picture matching (WPM. Results & Discussion As predicted, results (Table 1 show that WRP was severely impaired in naming different categories
Jauregi Unanue, Iñigo; Zare Borzeshi, Ehsan; Piccardi, Massimo
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.
Zhu, Qile; Li, Xiaolin; Conesa, Ana; Pereira, Cécile
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. email@example.com or firstname.lastname@example.org. Supplementary data are available at Bioinformatics online.
Full Text Available When we develop voice-activated human-appliance interface systems in smart homes, named entity recognition (NER is an essential tool for extracting execution targets from natural language commands. Previous studies on NER systems generally include supervised machine-learning methods that require a substantial amount of human-annotated training corpus. In the smart home environment, categories of named entities should be defined according to voice-activated devices (e.g., food names for refrigerators and song titles for music players. The previous machine-learning methods make it difficult to change categories of named entities because a large amount of the training corpus should be newly constructed by hand. To address this problem, we present a semi-supervised NER system to minimize the time-consuming and labor-intensive task of constructing the training corpus. Our system uses distant supervision methods with two kinds of auto-labeling processes: auto-labeling based on heuristic rules for single-class named entity corpus generation and auto-labeling based on a pre-trained single-class NER model for multi-class named entity corpus generation. Then, our system improves NER accuracy by using a bagging-based active learning method. In our experiments that included a generic domain that featured 11 named entity classes and a context-specific domain about baseball that featured 21 named entity classes, our system demonstrated good performances in both domains, with F1-measures of 0.777 and 0.958, respectively. Since our system was built from a relatively small human-annotated training corpus, we believe it is a viable alternative to current NER systems in smart home environments.
Full Text Available Named entity extraction tools designed for recognizing named entities in texts written in standard language (e.g., news stories or legal texts have been shown to be inadequate for user-generated textual content (e.g., tweets, forum posts. In this work, we propose a supervised approach to named entity recognition and classification for Croatian tweets. We compare two sequence labelling models: a hidden Markov model (HMM and conditional random fields (CRF. Our experiments reveal that CRF is the best model for the task, achieving a very good performance of over 87% micro-averaged F1 score. We analyse the contributions of different feature groups and influence of the training set size on the performance of the CRF model.
Grego, Tiago; Pesquita, Catia; Bastos, Hugo P.; Couto, Francisco M.
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
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A partire da un punto di vista semantico più che morfologico, l'articolo è focalizzato il problema del significato dei nomi propri, con contributi della filosofia del linguaggio e della linguistica semantica. Sono indagate le entità individuali: il loro isolamento all’interno della rete di soggetti e la relazione esemplificativa, il trattamento nelle classificazioni. Le profonde diversità rilevate fra concetti e entità denominate suggeriscono di dichiararle esplicitamente da un punto di vista teorico e di adottare dispositivi che diano risultati unitari ma chiaramente distinguibili nei sistemi di recupero dell’informazione.
Questo contributo è stato presentato col titolo Indexing concepts and/or named entities all'11th ISKO Conference, Paradigms and conceptual systems in knowledge organization, Roma, 23-26 febbraio 2010, non pubblicato negli atti, e qui leggermente ampliato.
Habib, Mena Badieh; van Keulen, Maurice
Social media is a rich source of information. To make use of this information, it is sometimes required to extract and disambiguate named entities. In this paper we focus on named entity disambiguation (NED) in twitter messages. NED in tweets is challenging in two ways. First, the limited length of
Liu, Zengjian; Yang, Ming; Wang, Xiaolong; Chen, Qingcai; Tang, Buzhou; Wang, Zhe; Xu, Hua
Entity recognition is one of the most primary steps for text analysis and has long attracted considerable attention from researchers. In the clinical domain, various types of entities, such as clinical entities and protected health information (PHI), widely exist in clinical texts. Recognizing these entities has become a hot topic in clinical natural language processing (NLP), and a large number of traditional machine learning methods, such as support vector machine and conditional random field, have been deployed to recognize entities from clinical texts in the past few years. In recent years, recurrent neural network (RNN), one of deep learning methods that has shown great potential on many problems including named entity recognition, also has been gradually used for entity recognition from clinical texts. In this paper, we comprehensively investigate the performance of LSTM (long-short term memory), a representative variant of RNN, on clinical entity recognition and protected health information recognition. The LSTM model consists of three layers: input layer - generates representation of each word of a sentence; LSTM layer - outputs another word representation sequence that captures the context information of each word in this sentence; Inference layer - makes tagging decisions according to the output of LSTM layer, that is, outputting a label sequence. Experiments conducted on corpora of the 2010, 2012 and 2014 i2b2 NLP challenges show that LSTM achieves highest micro-average F1-scores of 85.81% on the 2010 i2b2 medical concept extraction, 92.29% on the 2012 i2b2 clinical event detection, and 94.37% on the 2014 i2b2 de-identification, which is considerably competitive with other state-of-the-art systems. LSTM that requires no hand-crafted feature has great potential on entity recognition from clinical texts. It outperforms traditional machine learning methods that suffer from fussy feature engineering. A possible future direction is how to integrate knowledge
Basaldella, Marco; Furrer, Lenz; Tasso, Carlo; Rinaldi, Fabio
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.
Lemmond, T D; Perry, N C; Guensche, J W; Nitao, J J; Glaser, R E; Kidwell, P; Hanley, W G
Despite recent advances in named entity extraction technologies, state-of-the-art extraction tools achieve insufficient accuracy rates for practical use in many operational settings. However, they are not generally prone to the same types of error, suggesting that substantial improvements may be achieved via appropriate combinations of existing tools, provided their behavior can be accurately characterized and quantified. In this paper, we present an inference methodology for the aggregation of named entity extraction technologies that is founded upon a black-box analysis of their respective error processes. This method has been shown to produce statistically significant improvements in extraction relative to standard performance metrics and to mitigate the weak performance of entity extractors operating under suboptimal conditions. Moreover, this approach provides a framework for quantifying uncertainty and has demonstrated the ability to reconstruct the truth when majority voting fails.
Habib, Mena Badieh; van Keulen, Maurice
Named entity extraction (NEE) and disambiguation (NED) are two areas of research that are well covered in literature. Typical fields addressing these topics are information retrieval, natural language processing, and semantic web. Although these topics are highly dependent, almost no existing works
Bingel, Joachim; Haider, Thomas
We describe a systematic and application-oriented approach to training and evaluating named entity recognition and classification (NERC) systems, the purpose of which is to identify an optimal system and to train an optimal model for named entity tagging DeReKo, a very large general-purpose corpus...... when evaluated on more uniform and less diverse data. We create and manually annotate such a representative sample as evaluation data for three different NERC systems, for each of which various models are learnt on multiple training data. The proposed sampling method can be viewed as a generally...
Round, Griff; Roper, Stuart
Purpose\\ud – The purpose of this study is to investigate the value to consumers of the brand name element for established brands, given that the focus in the literature has been on new brands. To accomplish this, conceptual development was initially undertaken to illuminate the links between the brand name element and the brand entity and to provide a theoretical framework for looking at changes in value of the brand name element to consumers over time.\\ud \\ud Design/methodology/approach\\ud –...
Duncan, C P
Faculty members, graduate students, undergraduate majors, and introductory psychology students checked those names they recognized in the list of 228 deceased psychologists, rated for eminence, provided by Annin, Boring, and Watson. Mean percentage recognition was less than 50% for the 128 American psychologists, and less than 25% for the 100 foreign psychologists, by the faculty subjects. The other three groups of subjects gave even lower recognition scores. Recognition was probably also influenced by recency; median year of death of the American psychologists was 1955, of the foreign psychologists, 1943. High recognition (defined as recognition by 80% or more of the faculty group) was achieved by only 34 psychologists, almost all of them American. These highly recognized psychologists also had high eminence ratings, but there was an equal number of psychologists with high eminence ratings that were poorly recognized.
Lucks, Stefan; Zenner, Erik; Weimerskirch, Andre
Entity recognition does not ask whether the message is from some entity X, just whether a message is from the same entity as a previous message. This turns turns out to be very useful for low-end devices. The current paper proposes a new protocol – the “Jane Doe Protocol” –, and provides a formal...
Full Text Available References to anatomical entities in medical records consist not only of explicit references to anatomical locations, but also other diverse types of expressions, such as specific diseases, clinical tests, clinical treatments, which constitute implicit references to anatomical entities. In order to identify these implicit anatomical entities, we propose a hierarchical framework, in which two layers of named entity recognizers (NERs work in a cooperative manner. Each of the NERs is implemented using the Conditional Random Fields (CRF model, which use a range of external resources to generate features. We constructed a dictionary of anatomical entity expressions by exploiting four existing resources, i.e., UMLS, MeSH, RadLex and BodyPart3D, and supplemented information from two external knowledge bases, i.e., Wikipedia and WordNet, to improve inference of anatomical entities from implicit expressions. Experiments conducted on 300 discharge summaries showed a micro-averaged performance of 0.8509 Precision, 0.7796 Recall and 0.8137 F1 for explicit anatomical entity recognition, and 0.8695 Precision, 0.6893 Recall and 0.7690 F1 for implicit anatomical entity recognition. The use of the hierarchical framework, which combines the recognition of named entities of various types (diseases, clinical tests, treatments with information embedded in external knowledge bases, resulted in a 5.08% increment in F1. The resources constructed for this research will be made publicly available.
Cho, Hyejin; Choi, Wonjun; Lee, Hyunju
In biomedical articles, a named entity recognition (NER) technique that identifies entity names from texts is an important element for extracting biological knowledge from articles. After NER is applied to articles, the next step is to normalize the identified names into standard concepts (i.e., disease names are mapped to the National Library of Medicine's Medical Subject Headings disease terms). In biomedical articles, many entity normalization methods rely on domain-specific dictionaries for resolving synonyms and abbreviations. However, the dictionaries are not comprehensive except for some entities such as genes. In recent years, biomedical articles have accumulated rapidly, and neural network-based algorithms that incorporate a large amount of unlabeled data have shown considerable success in several natural language processing problems. In this study, we propose an approach for normalizing biological entities, such as disease names and plant names, by using word embeddings to represent semantic spaces. For diseases, training data from the National Center for Biotechnology Information (NCBI) disease corpus and unlabeled data from PubMed abstracts were used to construct word representations. For plants, a training corpus that we manually constructed and unlabeled PubMed abstracts were used to represent word vectors. We showed that the proposed approach performed better than the use of only the training corpus or only the unlabeled data and showed that the normalization accuracy was improved by using our model even when the dictionaries were not comprehensive. We obtained F-scores of 0.808 and 0.690 for normalizing the NCBI disease corpus and manually constructed plant corpus, respectively. We further evaluated our approach using a data set in the disease normalization task of the BioCreative V challenge. When only the disease corpus was used as a dictionary, our approach significantly outperformed the best system of the task. The proposed approach shows robust
Ren, Xiang; El-Kishky, Ahmed; Wang, Chi; Tao, Fangbo; Voss, Clare R.; Ji, Heng; Han, Jiawei
Entity recognition is an important but challenging research problem. In reality, many text collections are from specific, dynamic, or emerging domains, which poses significant new challenges for entity recognition with increase in name ambiguity and context sparsity, requiring entity detection without domain restriction. In this paper, we investigate entity recognition (ER) with distant-supervision and propose a novel relation phrase-based ER framework, called ClusType, that runs data-driven phrase mining to generate entity mention candidates and relation phrases, and enforces the principle that relation phrases should be softly clustered when propagating type information between their argument entities. Then we predict the type of each entity mention based on the type signatures of its co-occurring relation phrases and the type indicators of its surface name, as computed over the corpus. Specifically, we formulate a joint optimization problem for two tasks, type propagation with relation phrases and multi-view relation phrase clustering. Our experiments on multiple genres—news, Yelp reviews and tweets—demonstrate the effectiveness and robustness of ClusType, with an average of 37% improvement in F1 score over the best compared method. PMID:26705503
This master thesis reports an applied machine learning research internship done at digital library of the European Organization for Nuclear Research (CERN). The way an author’s name may vary in its representation across scientific publications creates ambiguity when it comes to uniquely identifying an author; In the database of any scientific digital library, the same full name variation can be used by more than one author. This may occur even between authors from the same research affiliation. In this work, we built a machine learning based author name disambiguation solution. The approach consists in learning a distance function from a ground-truth data, blocking publications of broadly similar author names, and clustering the publications using a semi-supervised strategy within each of the blocks. The main contributions of this work are twofold; first, improving the distance model by taking into account the (estimated) ethnicity of the author’s full name. Indeed, names from different ethnicities, for e...
Amancio, Diego Raphael
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.
Habib, Mena Badieh; van Keulen, Maurice
Twitter is a rich source of continuously and instantly updated information. Shortness and informality of tweets are challenges for Natural Language Processing tasks. In this paper, we present TwitterNEED, a hybrid approach for Named Entity Extraction and Named Entity Disambiguation for tweets. We
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
Bunnell, Julie K.
Presents results of a name recognition questionnaire testing the historical awareness of psychology majors and faculty members. Reports that students showed a low level of name recognition prior to taking a course in the history of psychology. Concludes that explicit instruction is required to impart knowledge of the history of the discipline. (DK)
Bonnin, C.; Lesteven, S.; Derriere, S.; Oberto, A.
SIMBAD is a database of astronomical objects that provides (among other things) their bibliographic references in a large number of journals. Currently, these references have to be entered manually by librarians who read each paper. To cope with the increasing number of papers, CDS develops a tool to assist the librarians in their work, taking advantage of the Dictionary of Nomenclature of Celestial Objects, which keeps track of object acronyms and of their origin. The program searches for object names directly in PDF documents by comparing the words with all the formats stored in the Dictionary of Nomenclature. It also searches for variable star names based on constellation names and for a large list of usual names such as Aldebaran or the Crab. Object names found in the documents often correspond to several astronomical objects. The system retrieves all possible matches, displays them with their object type given by SIMBAD, and lets the librarian make the final choice. The bibliographic reference can then be automatically added to the object identifiers in the database. Besides, the systematic usage of the Dictionary of Nomenclature, which is updated manually, permitted to automatically check it and to detect errors and inconsistencies. Last but not least, the program collects some additional information such as the position of the object names in the document (in the title, subtitle, abstract, table, figure caption...) and their number of occurrences. In the future, this will permit to calculate the 'weight' of an object in a reference and to provide SIMBAD users with an important new information, which will help them to find the most relevant papers in the object reference list.
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
Song, Min; Yu, Hwanjo; Han, Wook-Shin
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.
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
Akhondi, Saber A; Hettne, Kristina M; van der Horst, Eelke; van Mulligen, Erik M; Kors, Jan A
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
Habib, Mena Badieh; van Keulen, Maurice
In this demo paper, we present NEED4Tweet, a Twitterbot for named entity extraction (NEE) and disambiguation (NED) for Tweets. The straightforward application of state-of-the-art extraction and disambiguation approaches on informal text widely used in Tweets, typically results in significantly
Habib, Mena Badieh; van Keulen, Maurice; Zhu, Zhemin; Rowe, Matthew; Stankovic, Milan; Dadzie, Aba-Sah
Twitter is a potentially rich source of continuously and instantly updated information. Shortness and informality of tweets are challenges for Natural Language Processing (NLP) tasks. In this paper, we present a hybrid approach for Named Entity Extraction (NEE)and Linking (NEL) for tweets. Although
Erz, Antonia; Christensen, Bo
Existing research has not provided a clear understanding of processing fluency effects on memory. In a laboratory experiment with novel non-words, we found a recognition advantage of fluent non-words over moderately fluent and disfluent non-words. This advantage diminished when non-words were...... presented as novel brand names in different product contexts. We further tested a preference reversal in favor of disfluency and found that disfluent brand names (non-words) were equally disliked across different products contexts. A preference reversal could be observed when fluent names were preferred...
Kou, Zhenzhen; Cohen, William W.; Murphy, Robert F.
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
Sherman, Susan M
Using the Deese-Roediger-McDermott (DRM) paradigm, participants are presented with lists of associated words (e.g., bed, awake, night). Subsequently, they reliably have false memories for related but nonpresented words (e.g., SLEEP). Previous research has found that false memories can be created for brand names (e.g., Morrisons, Sainsbury's, Waitrose, and TESCO). The present study investigates the effect of a week's delay on false memories for brand names. Participants were presented with lists of brand names followed by a distractor task. In two between-subjects experiments, participants completed a free recall task or a recognition task either immediately or a week later. In two within-subjects experiments, participants completed a free recall task or a recognition task both immediately and a week later. Correct recall for presented list items decreased over time, whereas false recall for nonpresented lure items increased. For recognition, raw scores revealed an increase in false memory across time reflected in an increase in Remember responses. Analysis of Pr scores revealed that false memory for lures stayed constant over a week, but with an increase in Remember responses in the between-subjects experiment and a trend in the same direction in the within-subjects experiment. Implications for theories of false memory are discussed.
Full Text Available Motivation. Finding relevant scientific literature is one of the essential tasks researchers are facing on a daily basis. Digital libraries and web information retrieval techniques provide rapid access to a vast amount of scientific literature. However, no further automated support is available that would enable fine-grained access to the knowledge ‘stored’ in these documents. The emerging domain of Semantic Publishing aims at making scientific knowledge accessible to both humans and machines, by adding semantic annotations to content, such as a publication’s contributions, methods, or application domains. However, despite the promises of better knowledge access, the manual annotation of existing research literature is prohibitively expensive for wide-spread adoption. We argue that a novel combination of three distinct methods can significantly advance this vision in a fully-automated way: (i Natural Language Processing (NLP for Rhetorical Entity (RE detection; (ii Named Entity (NE recognition based on the Linked Open Data (LOD cloud; and (iii automatic knowledge base construction for both NEs and REs using semantic web ontologies that interconnect entities in documents with the machine-readable LOD cloud.Results. We present a complete workflow to transform scientific literature into a semantic knowledge base, based on the W3C standards RDF and RDFS. A text mining pipeline, implemented based on the GATE framework, automatically extracts rhetorical entities of type Claims and Contributions from full-text scientific literature. These REs are further enriched with named entities, represented as URIs to the linked open data cloud, by integrating the DBpedia Spotlight tool into our workflow. Text mining results are stored in a knowledge base through a flexible export process that provides for a dynamic mapping of semantic annotations to LOD vocabularies through rules stored in the knowledge base. We created a gold standard corpus from computer
Full Text Available This paper proposes a graph-based Named Entity Linking (NEL algorithm named REDEN for the disambiguation of authors’ names in French literary criticism texts and scientific essays from the 19th and early 20th centuries. The algorithm is described and evaluated according to the two phases of NEL as reported in current state of the art, namely, candidate retrieval and candidate selection. REDEN leverages knowledge from different Linked Data sources in order to select candidates for each author mention, subsequently crawls data from other Linked Data sets using equivalence links (e.g., owl:sameAs, and, finally, fuses graphs of homologous individuals into a non-redundant graph well-suited for graph centrality calculation; the resulting graph is used for choosing the best referent. The REDEN algorithm is distributed in open-source and follows current standards in digital editions (TEI and semantic Web (RDF. Its integration into an editorial workflow of digital editions in Digital humanities and cultural heritage projects is entirely plausible. Experiments are conducted along with the corresponding error analysis in order to test our approach and to help us to study the weaknesses and strengths of our algorithm, thereby to further improvements of REDEN.
Savkov, Aleksandar; Carroll, John; Koeling, Rob; Cassell, Jackie
The free text notes typed by physicians during patient consultations contain valuable information for the study of disease and treatment. These notes are difficult to process by existing natural language analysis tools since they are highly telegraphic (omitting many words), and contain many spelling mistakes, inconsistencies in punctuation, and non-standard word order. To support information extraction and classification tasks over such text, we describe a de-identified corpus of free text notes, a shallow syntactic and named entity annotation scheme for this kind of text, and an approach to training domain specialists with no linguistic background to annotate the text. Finally, we present a statistical chunking system for such clinical text with a stable learning rate and good accuracy, indicating that the manual annotation is consistent and that the annotation scheme is tractable for machine learning.
Belfi, Amy M; Bruss, Joel; Karlan, Brett; Abel, Taylor J; Tranel, Daniel
Retrieval of lexical (names) and conceptual (semantic) information is frequently impaired in individuals with neurological damage. One category of items that is often affected is musical instruments. However, distinct neuroanatomical correlates underlying lexical and conceptual knowledge for musical instruments have not been identified. We used a neuropsychological approach to explore the neural correlates of knowledge retrieval for musical instruments. A large sample of individuals with focal brain damage (N = 298), viewed pictures of 16 musical instruments and were asked to name and identify each instrument. Neuroanatomical data were analyzed with a proportional MAP-3 method to create voxelwise lesion proportion difference maps. Impaired naming (lexical retrieval) of musical instruments was associated with damage to the left temporal pole and inferior pre- and postcentral gyri. Impaired recognition (conceptual knowledge retrieval) of musical instruments was associated with a more broadly and bilaterally distributed network of regions, including ventromedial prefrontal cortices, occipital cortices, and superior temporal gyrus. The findings extend our understanding of how musical instruments are processed at neural system level, and elucidate factors that may explain why brain damage may or may not produce anomia or agnosia for musical instruments. Our findings also help inform broader understanding of category-related knowledge mapping in the brain, as musical instruments possess several characteristics that are similar to various other categories of items: They are inanimate and highly manipulable (similar to tools), produce characteristic sounds (similar to animals), and require fine-grained visual differentiation between each other (similar to people). (PsycINFO Database Record (c) 2016 APA, all rights reserved).
sensor’s data. In the research Preprocessing Techniques for Context Recognition from Accelerom- eter Data, Figo, Diniz , Ferreira, and Cardoso provide...International Conference on, pages 13–24. IEEE, 2011. 13. Davide Figo, Pedro C. Diniz , Diogo R. Ferreira, and João M. P. Cardoso. Pre- processing
Dai, Hong-Jie; Lai, Po-Ting; Chang, Yung-Chun; Tsai, Richard Tzong-Han
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
Watanabe, W. M.; Candido, A.; Amâncio, M. A.; De Oliveira, M.; Pardo, T. A. S.; Fortes, R. P. M.; Aluísio, S. M.
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.
Richler, Jennifer J.; Palmeri, Thomas J.; Gauthier, Isabel
Two recent lines of research suggest that explicitly naming objects at study influences subsequent memory for those objects at test. Lupyan (2008) suggested that naming "impairs" memory by a representational shift of stored representations of named objects toward the prototype (labeling effect). MacLeod, Gopie, Hourihan, Neary, and Ozubko (2010)…
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…
Verhagen, W.; Aarnoutse, C.; van Leeuwe, J.
Influences of phonological awareness and naming speed on the speed and accuracy of Dutch children's word recognition were investigated in a longitudinal study. The speed and accuracy of word recognition at the ends of Grades 1 and 2 were predicted by naming speed from both the beginning and end of Grade 1, after control for autoregressive…
Verhagen, Wim G. M.; Aarnoutse, Cor A. J.; van Leeuwe, Jan F. J.
Effects of phonemic awareness and naming speed on the speed and accuracy of Dutch children's word recognition were investigated in a longitudinal study. Both the speed and accuracy of word recognition at the end of Grade 2 were predicted by naming speed from both kindergarten and Grade 1, after control for autoregressive relations, kindergarten…
As the healthcare industry continues to recognize the strategic implications of branding, more providers will undertake an identity change to better position themselves in competitive markets. The paper examines specific healthcare branding decisions, the reasons prompting brand name decisions and the marketing implications for a change in brand name.
Two experiments are reported that examine the influence of a given word's ortllographic neighbours (orthographically similar words) on the recognition and pronunciation of that word. In Experiment 1 (lexical decision) neighbourhood frequency as opposed to stimulus-word frequency was shown to have a
Seigneur, Jean-Marc; Jensen, Christian D.
In ubiquitous/pervasive computing environments, it is envisaged that computing elements—entities—will start interacting in an ad hoc fashion. The peer-to-peer (p2p) paradigm is appealing for such types of interaction especially with JXTA, which supports the development of reusable p2p building...... blocks, which facilitate implementation on any smart device. However, the inability to rely on a centralised authentication infrastructure, the openness of the environment and the absence of an administrator (it is assumed to be too expensive to have a skilled administrator at hand due to the large...... number of peers) challenge the use of legacy authentication mechanisms. Supporting spontaneous interactions among previously unknown entities requires dynamic enrolment of strangers and unknown entities. Entity recognition (ER) is a process that is carried out each time an interaction happens between...
Full Text Available According to the features of Chinese personal name, we present an approach for Chinese personal name recognition based on conditional random fields (CRF and knowledge base in this paper. The method builds multiple features of CRF model by adopting Chinese character as processing unit, selects useful features based on selection algorithm of knowledge base and incremental feature template, and finally implements the automatic recognition of Chinese personal name from Chinese document. The experimental results on open real corpus demonstrated the effectiveness of our method and obtained high accuracy rate and high recall rate of recognition.
Berg, E M; Lippman, L G
The authors proposed that item selection during shopping is based on brand name recognition rather than recall. College students rated advertisements and news stories of a simulated radio program for level of amusement (orienting activity) before participating in a surprise recognition test. Humor level of the advertisements was varied systematically, and content was controlled. According to signal detection analysis, humor did not affect the strength of recognition memory for brand names (nonsense units). However, brand names and product types were significantly more likely to be associated when appearing in humorous advertisements than in nonhumorous advertisements. The results are compared with prior findings concerning humor and recall.
... agency or departmental level, but distinct organizational units (such as a Department of the Interior... flexibility in defining themselves at an appropriate level of aggregation, it is essential that the name...
Akhondi, Saber A.; Pons, Ewoud; Afzal, Zubair; van Haagen, Herman; Becker, Benedikt F.H.; Hettne, Kristina M.; van Mulligen, Erik M.; Kors, Jan A.
We describe the development of a chemical entity recognition system and its application in the CHEMDNER-patent track of BioCreative 2015. This community challenge includes a Chemical Entity Mention in Patents (CEMP) recognition task and a Chemical Passage Detection (CPD) classification task. We addressed both tasks by an ensemble system that combines a dictionary-based approach with a statistical one. For this purpose the performance of several lexical resources was assessed using Peregrine, our open-source indexing engine. We combined our dictionary-based results on the patent corpus with the results of tmChem, a chemical recognizer using a conditional random field classifier. To improve the performance of tmChem, we utilized three additional features, viz. part-of-speech tags, lemmas and word-vector clusters. When evaluated on the training data, our final system obtained an F-score of 85.21% for the CEMP task, and an accuracy of 91.53% for the CPD task. On the test set, the best system ranked sixth among 21 teams for CEMP with an F-score of 86.82%, and second among nine teams for CPD with an accuracy of 94.23%. The differences in performance between the best ensemble system and the statistical system separately were small. Database URL: http://biosemantics.org/chemdner-patents PMID:27141091
Akhondi, Saber A; Pons, Ewoud; Afzal, Zubair; van Haagen, Herman; Becker, Benedikt F H; Hettne, Kristina M; van Mulligen, Erik M; Kors, Jan A
We describe the development of a chemical entity recognition system and its application in the CHEMDNER-patent track of BioCreative 2015. This community challenge includes a Chemical Entity Mention in Patents (CEMP) recognition task and a Chemical Passage Detection (CPD) classification task. We addressed both tasks by an ensemble system that combines a dictionary-based approach with a statistical one. For this purpose the performance of several lexical resources was assessed using Peregrine, our open-source indexing engine. We combined our dictionary-based results on the patent corpus with the results of tmChem, a chemical recognizer using a conditional random field classifier. To improve the performance of tmChem, we utilized three additional features, viz. part-of-speech tags, lemmas and word-vector clusters. When evaluated on the training data, our final system obtained an F-score of 85.21% for the CEMP task, and an accuracy of 91.53% for the CPD task. On the test set, the best system ranked sixth among 21 teams for CEMP with an F-score of 86.82%, and second among nine teams for CPD with an accuracy of 94.23%. The differences in performance between the best ensemble system and the statistical system separately were small.Database URL: http://biosemantics.org/chemdner-patents. © The Author(s) 2016. Published by Oxford University Press.
Emri, S; Bağci, T; Karakoca, Y; Bariş, E
To assess the smoking behaviour of primary schoolchildren and their ability to recognise brand names and logos of widely advertised cigarettes, compared with other commercial products intended for children. Cross-sectional survey in classroom settings using a questionnaire designed to measure attitudes towards smoking and the recognition of brand names and logos for 16 food, beverage, cigarette, and toothpaste products. Ankara, Turkey. 1093 children (54.6% boys, 44.4% girls) aged 7-13 years (mean = 10, SD = 1), from grades 2-5. The student sample was taken from three primary schools--one school in each of three residential districts representing high, middle, and low income populations. Prevalence of ever-smoking, recognition of brand names and logos. Prevalence of ever-smoking was 11.7% overall (13.9% among boys and 9.1% among girls; p Brand recognition rates ranged from 58.1% for Chee-tos (a food product) to 95.2% for Samsun (a Turkish cigarette brand). Recognition rates for cigarette brand names and logos were 95.2% and 80.8%, respectively, for Samsun; 84.0% and 90.5%, respectively, for Camel; and 92.1% and 69.5%, respectively, for Marlboro. The Camel logo and the Samsun and Marlboro brand names were the most highly recognised of all product logos and brand names tested. The high recognition of cigarette brand names and logos is most likely the result of tobacco advertising and promotion. Our results indicate the need to implement comprehensive tobacco control measures in Turkey.
Full Text Available One’s own name seems to have a special status in the processing of incoming information. In event-related potential (ERP studies this preferential status has mainly been associated with higher P300 to one’s own name than to other names. Some studies showed preferential responses to own name even for earlier ERP components. However, instead of just being self-specific, these effects could be related to the processing of any highly relevant and/or frequently encountered stimuli. If this is the case: (1 processing of other highly relevant and highly familiar names (e.g., names of friends, partners, siblings, etc. should be associated with similar ERP responses as processing of one's own name; and (2 processing of own and close others' names should result in larger amplitudes of early and late ERP components than processing of less relevant and less familiar names (e.g., names of famous people, names of strangers, etc.. To test this hypothesis we measured and analyzed ERPs from 62 scalp electrodes in 22 subjects. Subjects performed a speeded two-choice recognition task - familiar vs. unfamiliar - with one’s own name being treated as one of the familiar names. All stimuli were presented visually. We found that amplitudes of P200, N250 and P300 did not differ between one’s own and close-other’s names. Crucially, they were significantly larger to own and close-other’s names than to other names (unknown and famous for P300 and unknown for P200 and N250. Our findings suggest that preferential processing of one’s own name is due to its personal-relevance and/or familiarity factors. This pattern of results speaks for a common preference in processing of different kinds of socially relevant stimuli.
Gale, Tim M.; Laws, Keith R.; Foley, Kerry
Some models of object recognition propose that items from structurally crowded categories (e.g., living things) permit faster access to superordinate semantic information than structurally dissimilar categories (e.g., nonliving things), but slower access to individual object information when naming items. We present four experiments that utilize…
Bachman, John A; Gyori, Benjamin M; Sorger, Peter K
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
Full Text Available This study analyzes the cultural imagery of the Manggaraian SpeechCommunities (MSC in “Nominal Marking System (NMS of Bahasa Manggaraiand Its Interrelation with Naming Systems of Entity (NSE: A CulturalLinguistic Study”. The result of the analysis is useful for both the academic worldand the life of the society, especially the MSC.The study conducted in Manggarai Regency, Flores, East Nusa TenggaraProvince, is qualitative. The data were obtained through observation, elicitation,interview, documentation study, listening, and note taking. For this reason, a numberof questions were prepared in a written form. The data obtained were analyzedthrough steps of selection, listing, translation, and interpretation of the formallinguistic meaning and cultural imagery of the MSC. The result of the data analysisis informally reported and verbally described.To analyze the data, the Cultural Linguistic Theory was applied andsupported by the structural and the dynamic theories. To know the chance and toinspire the study, a number of previous studies were reviewed. To easily understand,direct, and limit the discussion of the study, a number of basic concepts weredefined.Syntactically and semantically, there are four kinds of nominal markers(NMs of BM. NMs in the forms of personal pronouns (PP: hau ‘you SG’, hia/hi‘he/she’, meu ‘you-PLUR’, and ise ‘they’ mark proper nouns (PN as theSubject/Agent or Object/Patient in a clause bearing the meaning of subject or objectposition of a clause and not common nouns (CN. NMs in the forms of de/ di/ disemark the noun (CN/pronoun or PN as the possessor of the possessed noun in aclause bearing the meaning of possession. NMs in the forms of le/ li/ lise mark thenoun (CN/pronoun or PN as the agent diathesis of an action targeted to a noun asthe patient diathesis in a clause bearing the meaning of addition or the target/localityof an action. And NMs in the forms of ge/ gi/ gise mark the noun (CN/pronoun or
Kaewphan, Suwisa; Van Landeghem, Sofie; Ohta, Tomoko; Van de Peer, Yves; Ginter, Filip; Pyysalo, Sampo
Motivation: The recognition and normalization of cell line names in text is an important task in biomedical text mining research, facilitating for instance the identification of synthetically lethal genes from the literature. While several tools have previously been developed to address cell line recognition, it is unclear whether available systems can perform sufficiently well in realistic and broad-coverage applications such as extracting synthetically lethal genes from the cancer literature. In this study, we revisit the cell line name recognition task, evaluating both available systems and newly introduced methods on various resources to obtain a reliable tagger not tied to any specific subdomain. In support of this task, we introduce two text collections manually annotated for cell line names: the broad-coverage corpus Gellus and CLL, a focused target domain corpus. Results: We find that the best performance is achieved using NERsuite, a machine learning system based on Conditional Random Fields, trained on the Gellus corpus and supported with a dictionary of cell line names. The system achieves an F-score of 88.46% on the test set of Gellus and 85.98% on the independently annotated CLL corpus. It was further applied at large scale to 24 302 102 unannotated articles, resulting in the identification of 5 181 342 cell line mentions, normalized to 11 755 unique cell line database identifiers. Availability and implementation: The manually annotated datasets, the cell line dictionary, derived corpora, NERsuite models and the results of the large-scale run on unannotated texts are available under open licenses at http://turkunlp.github.io/Cell-line-recognition/. Contact: email@example.com PMID:26428294
Saberi , Morteza; Saberi , Zahra
Part 2: Artificial Intelligence for Knowledge Management; International audience; This study proposes an Analysis of Variance (ANOVA) technique that focuses on the efficient recognition of customers with common names. The continuous improvement of Information and communications technologies (ICT) has led customers to have new expectations and concerns from their related organization. These new expectations bring various difficulties for organizations’ help desk to meet their customers’ needs....
Sugiura, Motoaki; Sassa, Yuko; Watanabe, Jobu; Akitsuki, Yuko; Maeda, Yasuhiro; Matsue, Yoshihiko; Fukuda, Hiroshi; Kawashima, Ryuta
Personally familiar people are likely to be represented more richly in episodic, emotional, and behavioral contexts than famous people, who are usually represented predominantly in semantic context. To reveal cortical mechanisms supporting this differential person representation, we compared cortical activation during name recognition tasks between personally familiar and famous names, using an event-related functional magnetic resonance imaging (fMRI). Normal subjects performed familiar- or unfamiliar-name detection tasks during visual presentation of personally familiar (Personal), famous (Famous), and unfamiliar (Unfamiliar) names. The bilateral temporal poles and anterolateral temporal cortices, as well as the left temporoparietal junction, were activated in the contrasts Personal-Unfamiliar and Famous-Unfamiliar to a similar extent. The bilateral occipitotemporoparietal junctions, precuneus, and posterior cingulate cortex showed activation in the contrasts Personal-Unfamiliar and Personal-Famous. Together with previous findings, differential activation in the occipitotemporoparietal junction, precuneus, and posterior cingulate cortex between personally familiar and famous names is considered to reflect differential person representation. The similar extent of activation for personally familiar and famous names in the temporal pole and anterolateral temporal cortex is consistent with the associative role of the anterior temporal cortex in person identification, which has been conceptualized as a person identity node in many models of person identification. The left temporoparietal junction was considered to process familiar written names. The results illustrated the neural correlates of the person representation as a network of discrete regions in the bilateral posterior cortices, with the anterior temporal cortices having a unique associative role.
Mitchell, Meghan B; Shirk, Steven D; McLaren, Donald G; Dodd, Jessica S; Ezzati, Ali; Ally, Brandon A; Atri, Alireza
We sought to characterize electrophysiological, eye-tracking and behavioral correlates of face-name recognition memory in healthy younger adults using high-density electroencephalography (EEG), infrared eye-tracking (ET), and neuropsychological measures. Twenty-one participants first studied 40 face-name (FN) pairs; 20 were presented four times (4R) and 20 were shown once (1R). Recognition memory was assessed by asking participants to make old/new judgments for 80 FN pairs, of which half were previously studied items and half were novel FN pairs (N). Simultaneous EEG and ET recording were collected during recognition trials. Comparisons of event-related potentials (ERPs) for correctly identified FN pairs were compared across the three item types revealing classic ERP old/new effects including 1) relative positivity (1R > N) bi-frontally from 300 to 500 ms, reflecting enhanced familiarity, 2) relative positivity (4R > 1R and 4R > N) in parietal areas from 500 to 800 ms, reflecting enhanced recollection, and 3) late frontal effects (1R > N) from 1000 to 1800 ms in right frontal areas, reflecting post-retrieval monitoring. ET analysis also revealed significant differences in eye movements across conditions. Exploration of cross-modality relationships suggested associations between memory and executive function measures and the three ERP effects. Executive function measures were associated with several indicators of saccadic eye movements and fixations, which were also associated with all three ERP effects. This novel characterization of face-name recognition memory performance using simultaneous EEG and ET reproduced classic ERP and ET effects, supports the construct validity of the multimodal FN paradigm, and holds promise as an integrative tool to probe brain networks supporting memory and executive functioning.
Kimberley J Smith
Full Text Available Major depression can be associated with neurocognitive deficits which are believed in part to be related to medial temporal lobe pathology. The purpose of this study was to investigate this impairment using a hippocampal-dependent neuropsychological task. The Face-Name pairs task was used to assess associative memory functioning in 19 patients with major depression. When compared to age-sex-and-education matched controls, patients with depression showed impaired learning, delayed cued-recall and delayed free-recall. However, they also showed preserved recognition of the verbal and nonverbal components of this task. Results indicate that the face-name pairs task is sensitive to neurocognitive deficits in major depression.
A. S. Raja
Full Text Available The word biometrics refers to the use of physiological or biological characteristics of human to recognize and verify the identity of an individual. Palmprint has become a new class of human biometrics for passive identification with uniqueness and stability. This is considered to be reliable due to the lack of expressions and the lesser effect of aging. In this manuscript a new Palmprint based biometric system based on neural networks self organizing maps (SOM is presented. The method is named as SOMP. The paper shows that the proposed SOMP method improves the performance and robustness of recognition. The proposed method is applied to a variety of datasets and the results are shown.
Tacikowski, P; Brechmann, A; Marchewka, A; Jednoróg, K; Dobrowolny, M; Nowicka, A
Our own name, due to its high social relevance, is supposed to have a unique status in our information processing. However, demonstrating this phenomenon empirically proves difficult as famous and unknown names, to which self-name is often compared in the studies, may differ from self-name not only in terms of the 'me vs. not-me' distinction, but also as regards their emotional content and frequency of occurrence in everyday life. In this fMRI study, apart from famous and unknown names we used the names of the most important persons in our subjects' lives. When compared to famous or unknown names recognition, self-name recognition was associated with robust activations in widely distributed bilateral network including fronto-temporal, limbic and subcortical structures, however, when compared to significant other's name, the activations were present specifically in the right inferior frontal gyrus. In addition, the significant other's name produced a similar pattern of activations to the one activated by self-name. These results suggest that the differences between own and other's name processing may rather be quantitative than qualitative in nature.
Full Text Available The task of identifying named entities from the discussion texts in Web forums faces the challenge of noisy names. As the names are often misspelled or abbreviated, the conventional techniques have failed to detect the noisy names properly. In this paper we propose a global context based framework for handling the noisy names. The framework is tested on a named entity recognition system designed to identify the names from the discussion texts in a homeopathy diagnosis discussion forum. The proposed global context-based framework is found to be effective in improving the accuracy of the named entity recognition system.
Full Text Available Children with Developmental Dyslexia (DD are impaired in Rapid Automatized Naming (RAN tasks, where subjects are asked to name arrays of high frequency items as quickly as possible. However the reasons why RAN speed discriminates DD from typical readers are not yet fully understood. Our study was aimed to identify some of the cognitive mechanisms underlying RAN-reading relationship by comparing one group of 32 children with DD with an age-matched control group of typical readers on a naming and a visual recognition task both using a discrete-trial methodology , in addition to a serial RAN task, all using the same stimuli (digits and colors. Results showed a significant slowness of DD children in both serial and discrete-trial naming tasks regardless of type of stimulus, but no difference between the two groups on the discrete-trial recognition task. Significant differences between DD and control participants in the RAN task disappeared when performance in the discrete-trial naming task was partialled out by covariance analysis for colors, but not for digits. The same pattern held in a subgroup of DD subjects with a history of early language delay (LD. By contrast, in a subsample of DD children without LD the RAN deficit was specific for digits and disappeared after slowness in discrete-trial naming was partialled out. Slowness in discrete-trial naming was more evident for LD than for noLD DD children. Overall, our results confirm previous evidence indicating a name-retrieval deficit as a cognitive impairment underlying RAN slowness in DD children. This deficit seems to be more marked in DD children with previous LD. Moreover, additional cognitive deficits specifically associated with serial RAN tasks have to be taken into account when explaining deficient RAN speed of these latter children. We suggest that partially different cognitive dysfunctions underpin superficially similar RAN impairments in different subgroups of DD subjects.
Doğan, Rezarta Islamaj; Leaman, Robert; Lu, Zhiyong
knowledge-based disease normalization methods with a best performance in F-measure of 63.7%. These results show that the NCBI disease corpus has the potential to significantly improve the state-of-the-art in disease name recognition and normalization research, by providing a high-quality gold standard thus enabling the development of machine-learning based approaches for such tasks. The NCBI disease corpus, guidelines and other associated resources are available at: http://www.ncbi.nlm.nih.gov/CBBresearch/Dogan/DISEASE/. Published by Elsevier Inc.
Polcher, Alexandra; Frommann, Ingo; Koppara, Alexander; Wolfsgruber, Steffen; Jessen, Frank; Wagner, Michael
There is a need for more sensitive neuropsychological tests to detect subtle cognitive deficits emerging in the preclinical stage of Alzheimer's disease (AD). Associative memory is a cognitive function supported by the hippocampus and affected early in the process of AD. We developed a short computerized face-name associative recognition test (FNART) and tested whether it would detect memory impairment in memory clinic patients with mild cognitive impairment (MCI) and subjective cognitive decline (SCD). We recruited 61 elderly patients with either SCD (n = 32) or MCI (n = 29) and 28 healthy controls (HC) and compared performance on FNART, self-reported cognitive deterioration in different domains (ECog-39), and, in a reduced sample (n = 46), performance on the visual Paired Associates Learning of the CANTAB battery. A significant effect of group on FNART test performance in the total sample was found (p < 0.001). Planned contrasts indicated a significantly lower associative memory performance in the SCD (p = 0.001, d = 0.82) and MCI group (p < 0.001, d = 1.54), as compared to HCs, respectively. The CANTAB-PAL discriminated only between HC and MCI, possibly because of reduced statistical power. Adjusted for depression, performance on FNART was significantly related to ECog-39 Memory in SCD patients (p = 0.024) but not in MCI patients. Associative memory is substantially impaired in memory clinic patients with SCD and correlates specifically with memory complaints at this putative preclinical stage of AD. Further studies will need to examine the predictive validity of the FNART in SCD patients with regard to longitudinal (i.e., conversion to MCI/AD) and biomarker outcomes.
Maurer, Leonie; Zitting, Kirsi-Marja; Elliott, Kieran; Czeisler, Charles A; Ronda, Joseph M; Duffy, Jeanne F
Sleep has been demonstrated to improve consolidation of many types of new memories. However, few prior studies have examined how sleep impacts learning of face-name associations. The recognition of a new face along with the associated name is an important human cognitive skill. Here we investigated whether post-presentation sleep impacts recognition memory of new face-name associations in healthy adults. Fourteen participants were tested twice. Each time, they were presented 20 photos of faces with a corresponding name. Twelve hours later, they were shown each face twice, once with the correct and once with an incorrect name, and asked if each face-name combination was correct and to rate their confidence. In one condition the 12-h interval between presentation and recall included an 8-h nighttime sleep opportunity ("Sleep"), while in the other condition they remained awake ("Wake"). There were more correct and highly confident correct responses when the interval between presentation and recall included a sleep opportunity, although improvement between the "Wake" and "Sleep" conditions was not related to duration of sleep or any sleep stage. These data suggest that a nighttime sleep opportunity improves the ability to correctly recognize face-name associations. Further studies investigating the mechanism of this improvement are important, as this finding has implications for individuals with sleep disturbances and/or memory impairments. Copyright © 2015 Elsevier Inc. All rights reserved.
Kostic, Bogdan; Cleary, Anne M.
Recognition without identification (RWI) is a common day-to-day experience (as when recognizing a face or a tune as familiar without being able to identify the person or the song). It is also a well-established laboratory-based empirical phenomenon: When identification of recognition test items is prevented, participants can discriminate between…
In this brief article, I argue that recognition is the key virtue of a hospitable classroom. Whether we are discussing the relationship between the teacher and the student, the student and other students, the student and the subject of study, or the teacher and the subject of study, recognition is the building block to a classroom that welcomes…
Li, Meng-Feng; Gao, Xin-Yu; Chou, Tai-Li; Wu, Jei-Tun
Neighborhood frequency is a crucial variable to know the nature of word recognition. Different from alphabetic scripts, neighborhood frequency in Chinese is usually confounded by component character frequency and neighborhood size. Three experiments were designed to explore the role of the neighborhood frequency effect in Chinese and the stimuli…
Conrad, Nicole J.; Levy, Betty Ann
Although research has established that performance on a rapid automatized naming (RAN) task is related to reading, the nature of this relationship is unclear. Bowers (2001) proposed that processes underlying performance on the RAN task and orthographic knowledge make independent and additive contributions to reading performance. We examined the…
Arredondo, Elva; Castaneda, Diego; Elder, John P; Slymen, Donald; Dozier, David
The fast food industry has been increasingly criticized for creating brand loyalty in young consumers. Food marketers are well versed in reaching children and youth given the importance of brand loyalty on future food purchasing behavior. In addition, food marketers are increasingly targeting the Hispanic population given their growing spending power. The fast food industry is among the leaders in reaching youth and ethnic minorities through their marketing efforts. The primary objective of this study was to determine if young children recognized fast food restaurant logos at a higher rate than other food brands. Methods Children (n = 155; 53% male; 87% Hispanic) ages 4-8 years were recruited from elementary schools and asked to match 10 logo cards to products depicted on a game board. Parents completed a survey assessing demographic and psychosocial characteristics associated with a healthy lifestyle in the home. Results Older children and children who were overweight were significantly more likely to recognize fast food restaurant logos than other food logos. Moreover, parents' psychosocial and socio-demographic characteristics were associated with the type of food logo recognized by the children. Conclusions Children's high recognition of fast food restaurant logos may reflect greater exposure to fast food advertisements. Families' socio-demographic characteristics play a role in children's recognition of food logos.
Full Text Available Objective: The goal of this project was to develop a list of forenames and surnames of South Asian (SA women that could be used to identify SA breast cancer patients within the cancer registry. This list was compiled, evaluated, and validated to ensure comprehensiveness, accuracy, and applicability of SA names. Methods: This project was conducted by Canadian researchers who are immersed in conducting behavioral studies with SA women diagnosed with cancer in the province of British Columbia. Recruiting SA cancer patients for research can be a difficult task due to social and cultural factors. Methods used by other researchers to identify ethnicity related unique names were employed to filter surnames and forenames that were not common to this ethnic group. Co-author (Gurpreet Oshan of SA ethnicity rigorously identified and deleted multiple lists and redundant entries along with common English forenames which resulted in a list of 16,888 SA forenames. All co-authors of Indian ethnicity (Gurpreet Oshan, Savitri Singh-Carlson, Harajit Lail were involved in critiquing and manually reviewing the names list throughout this process. Comprehensive lists of SA surnames and women′s forenames were reviewed to identify those that were unique to SA ethnicity. Accuracy was ensured by constantly filtering the redundancy by using an Excel program which helped to illustrate the number of times each name was spelled in different ways. Results: The final lists included 9112 surnames and 16,888 forenames of SA ethnicity. On the basis of the surname linkage only, the sensitivity of the list was 76.6%, specificity was 62.9%, and the positive predictive value was 58.5%. On the basis of both the surname and forename linkage, the specificity of the list was 88.6%. These lists include variations in spelling forenames and surnames as well. Conclusions: The list of surnames and forenames can be useful tools to identify SA ethnic groups from large population database in
Hawker, Charles D; McCarthy, William; Cleveland, David; Messinger, Bonnie L
Mislabeled samples are a serious problem in most clinical laboratories. Published error rates range from 0.39/1000 to as high as 1.12%. Standardization of bar codes and label formats has not yet achieved the needed improvement. The mislabel rate in our laboratory, although low compared with published rates, prompted us to seek a solution to achieve zero errors. To reduce or eliminate our mislabeled samples, we invented an automated device using 4 cameras to photograph the outside of a sample tube. The system uses optical character recognition (OCR) to look for discrepancies between the patient name in our laboratory information system (LIS) vs the patient name on the customer label. All discrepancies detected by the system's software then require human inspection. The system was installed on our automated track and validated with production samples. We obtained 1 009 830 images during the validation period, and every image was reviewed. OCR passed approximately 75% of the samples, and no mislabeled samples were passed. The 25% failed by the system included 121 samples actually mislabeled by patient name and 148 samples with spelling discrepancies between the patient name on the customer label and the patient name in our LIS. Only 71 of the 121 mislabeled samples detected by OCR were found through our normal quality assurance process. We have invented an automated camera system that uses OCR technology to identify potential mislabeled samples. We have validated this system using samples transported on our automated track. Full implementation of this technology offers the possibility of zero mislabeled samples in the preanalytic stage.
Muñoz León, Fernando
Do transsexual people in Chile have a right to have their gender identity or their sex reassignment legally recognized? The absence of any legislation on gender identity or transsexualism could lead us to believe that it is not the case. However, a quantitative review of decisions issued by Chilean courts during the last years on name-and sex-change requests filed by transsexual people reveals that most of these courts have accepted these requests. From the perspective of the well-being of transsexual people, this is a positive result. However, the fact that a few rejections exist reminds us of the need to enact an explicit legislation in this issue. Lastly, a qualitative analysis of those decisions suggests that the traditional reluctance of courts to interpret the law in a creative way has been overcome in these cases by the use of knowledge and discourses belonging to healthcare sciences. This is an example of an epistemological complementariness between medicine and law.
De Winter, François-Laurent; Timmers, Dorien; de Gelder, Beatrice; Van Orshoven, Marc; Vieren, Marleen; Bouckaert, Miriam; Cypers, Gert; Caekebeke, Jo; Van de Vliet, Laura; Goffin, Karolien; Van Laere, Koen; Sunaert, Stefan; Vandenberghe, Rik; Vandenbulcke, Mathieu; Van den Stock, Jan
Deficits in face processing have been described in the behavioral variant of fronto-temporal dementia (bvFTD), primarily regarding the recognition of facial expressions. Less is known about face shape and face identity processing. Here we used a hierarchical strategy targeting face shape and face identity recognition in bvFTD and matched healthy controls. Participants performed 3 psychophysical experiments targeting face shape detection (Experiment 1), unfamiliar face identity matching (Experiment 2), familiarity categorization and famous face-name matching (Experiment 3). The results revealed group differences only in Experiment 3, with a deficit in the bvFTD group for both familiarity categorization and famous face-name matching. Voxel-based morphometry regression analyses in the bvFTD group revealed an association between grey matter volume of the left ventral anterior temporal lobe and familiarity recognition, while face-name matching correlated with grey matter volume of the bilateral ventral anterior temporal lobes. Subsequently, we quantified familiarity-specific and name-specific recognition deficits as the sum of the celebrities of which respectively only the name or only the familiarity was accurately recognized. Both indices were associated with grey matter volume of the bilateral anterior temporal cortices. These findings extent previous results by documenting the involvement of the left anterior temporal lobe (ATL) in familiarity detection and the right ATL in name recognition deficits in fronto-temporal lobar degeneration.
Kegelmeyer, Philip W. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Shead, Timothy M. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Dunlavy, Daniel M. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
This SAND report summarizes the activities and outcomes of the Network and Ensemble Enabled Entity Extraction in Information Text (NEEEEIT) LDRD project, which addressed improving the accuracy of conditional random fields for named entity recognition through the use of ensemble methods.
Куришко, Лілія Анатоліївна
The methodic of accounting reflection of the business transactions related to contributions into the joint activities without forming a legal entity has been studied; the types of contributions defined legally and the possibility of their reflection in accounting have been elucidated; the author’s understanding of the essence of contributions’ types has been formed as well as the approach towards their identification in accounting has been offered
Weber, Elke U; Siebenmorgen, Niklas; Weber, Martin
An experiment examined how the type and presentation format of information about investment options affected investors' expectations about asset risk, returns, and volatility and how these expectations related to asset choice. Respondents were provided with the names of 16 domestic and foreign investment options, with 10-year historical return information for these options, or with both. Historical returns were presented either as a bar graph of returns per year or as a continuous density distribution. Provision of asset names allowed for the investigation of the mechanisms underlying the home bias in investment choice and other asset familiarity effects. Respondents provided their expectations of future returns, volatility, and expected risk, and indicated the options they would choose to invest in. Expected returns closely resembled historical expected values. Risk and volatility perceptions both varied significantly as a function of the type and format of information, but in different ways. Expected returns and perceived risk, not predicted volatility, predicted portfolio decisions.
In this article, I shall examine the cognitive, heuristic and theoretical functions of the concept of recognition. To evaluate both the explanatory power and the limitations of a sociological concept, the theory construction must be analysed and its actual productivity for sociological theory mus...
Pafilis, Evangelos; Pletscher-Frankild, Sune; Fanini, Lucia
The exponential growth of the biomedical literature is making the need for efficient, accurate text-mining tools increasingly clear. The identification of named biological entities in text is a central and difficult task. We have developed an efficient algorithm and implementation of a dictionary......-based approach to named entity recognition, which we here use to identify names of species and other taxa in text. The tool, SPECIES, is more than an order of magnitude faster and as accurate as existing tools. The precision and recall was assessed both on an existing gold-standard corpus and on a new corpus...
Chen, Lifeng; Liu, Hongfang; Friedman, Carol
With more and more scientific literature published online, the effective management and reuse of this knowledge has become problematic. Natural language processing (NLP) may be a potential solution by extracting, structuring and organizing biomedical information in online literature in a timely manner. One essential task is to recognize and identify genomic entities in text. 'Recognition' can be accomplished using pattern matching and machine learning. But for 'identification' these techniques are not adequate. In order to identify genomic entities, NLP needs a comprehensive resource that specifies and classifies genomic entities as they occur in text and that associates them with normalized terms and also unique identifiers so that the extracted entities are well defined. Online organism databases are an excellent resource to create such a lexical resource. However, gene name ambiguity is a serious problem because it affects the appropriate identification of gene entities. In this paper, we explore the extent of the problem and suggest ways to address it. We obtained gene information from 21 organisms and quantified naming ambiguities within species, across species, with English words and with medical terms. When the case (of letters) was retained, official symbols displayed negligible intra-species ambiguity (0.02%) and modest ambiguities with general English words (0.57%) and medical terms (1.01%). In contrast, the across-species ambiguity was high (14.20%). The inclusion of gene synonyms increased intra-species ambiguity substantially and full names contributed greatly to gene-medical-term ambiguity. A comprehensive lexical resource that covers gene information for the 21 organisms was then created and used to identify gene names by using a straightforward string matching program to process 45,000 abstracts associated with the mouse model organism while ignoring case and gene names that were also English words. We found that 85.1% of correctly retrieved mouse
Wolk, D.A.; Coslett, H.B.; Glosser, G.
The role of sensory-motor representations in object recognition was investigated in experiments involving AD, a patient with mild visual agnosia who was impaired in the recognition of visually presented living as compared to non-living entities. AD named visually presented items for which sensory-motor information was available significantly more…
Graus, D.; Tsagkias, M.; Weerkamp, W.; Meij, E.; de Rijke, M.
Entity ranking, i.e., successfully positioning a relevant entity at the top of the ranking for a given query, is inherently difficult due to the potential mismatch between the entity's description in a knowledge base, and the way people refer to the entity when searching for it. To counter this
In this thesis, we investigate the broad problem of computing entity associations for search. Specifically, we consider three types of entity association: entity-entity, entity-document, and entity-aspect associations. We touch upon various domains, starting with specific domains such as the
Minnesota Department of Natural Resources — The Geographic Names Information System (GNIS), developed by the United States Geological Survey in cooperation with the U.S. Board of Geographic Names, provides...
Full Text Available Abstract 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.
Canisius, S.V.M.; Bosch, A.P.J. van den; Daelemans, W.M.P.; Bosch, A.P.J. van den; Bouma, G.
One approach to QA answering is to match a question to candidate answers in a background corpus based on semantic overlap, possibly in combination with other levels of matching, such as lexical vector space similarity and syntactic similarity. While the computation of deep semantic similarity is as
Programming Entity Framework is a thorough introduction to Microsoft's new core framework for modeling and interacting with data in .NET applications. This highly-acclaimed book not only gives experienced developers a hands-on tour of the Entity Framework and explains its use in a variety of applications, it also provides a deep understanding of its architecture and APIs -- knowledge that will be extremely valuable as you shift to the Entity Framework version in .NET Framework 4.0 and Visual Studio 2010. From the Entity Data Model (EDM) and Object Services to EntityClient and the Metadata Work
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".
Campos, David; Matos, Sérgio; Oliveira, José L
The recognition of drugs and chemical entities in text is a very important task within the field of biomedical information extraction, given the rapid growth in the amount of published texts (scientific papers, patents, patient records) and the relevance of these and other related concepts. If done effectively, this could allow exploiting such textual resources to automatically extract or infer relevant information, such as drug profiles, relations and similarities between drugs, or associations between drugs and potential drug targets. The objective of this work was to develop and validate a document processing and information extraction pipeline for the identification of chemical entity mentions in text. We used the BioCreative IV CHEMDNER task data to train and evaluate a machine-learning based entity recognition system. Using a combination of two conditional random field models, a selected set of features, and a post-processing stage, we achieved F-measure results of 87.48% in the chemical entity mention recognition task and 87.75% in the chemical document indexing task. We present a machine learning-based solution for automatic recognition of chemical and drug names in scientific documents. The proposed approach applies a rich feature set, including linguistic, orthographic, morphological, dictionary matching and local context features. Post-processing modules are also integrated, performing parentheses correction, abbreviation resolution and filtering erroneous mentions using an exclusion list derived from the training data. The developed methods were implemented as a document annotation tool and web service, freely available at http://bioinformatics.ua.pt/becas-chemicals/.
Pablo Sánchez, César de
Los Sistemas de Búsqueda de Respuestas (SBR) amplían las capacidades de un buscador de información tradicional con la capacidad de encontrar respuestas precisas a las preguntas del usuario. El objetivo principal es facilitar el acceso a la información y disminuir el tiempo y el esfuerzo que el usuario debe emplear para encontrar una información concreta en una lista de documentos relevantes. En esta investigación se han abordado dos trabajos relacionados con los SBR. La primera parte presenta...
Fazeel, K. Mohammed; Hassan Mottur, Simama; Norman, Jasmine; Mangayarkarasi, R.
With Enormous number of tweets, People often face difficulty to get exact information about those tweets. One of the approach followed for getting information about those tweets via Google. There is not any accuracy tool developed for search optimization and as well as getting information about those tweets. So, this system contains the search optimization and functionalities for getting information about those tweets. Another problem faced here are the tweets that contains grammatical errors, misspellings, non-standard abbreviations, and meaningless capitalization. So, these problems can be eliminated by the use of this tool. Lot of time can be saved and as well as by the use of efficient search optimization each information about those particular tweets can be obtained.
The book follows a standard tutorial-based approach to create, retrieve, update, and delete Drupal 7 entities, their properties and fields.Programming Drupal 7 Entities is perfect for intermediate or advanced developers new to Drupal entity development who are looking to get a good grounding in how to code using the new paradigm. It's assumed that you will have some experience in PHP development already, and being vaguely familiar with Drupal, GIT, and Drush will also help.
Banerjee, Bonny; Chandrasekaran, B
.... In earlier papers, we described a diagrammatic reasoning architecture, and demonstrated the approach for instances of maneuver recognition and information fusion for entity-reidentification problems...
Get a thorough introduction to ADO.NET Entity Framework 4 -- Microsoft's core framework for modeling and interacting with data in .NET applications. The second edition of this acclaimed guide provides a hands-on tour of the framework latest version in Visual Studio 2010 and .NET Framework 4. Not only will you learn how to use EF4 in a variety of applications, you'll also gain a deep understanding of its architecture and APIs. Written by Julia Lerman, the leading independent authority on the framework, Programming Entity Framework covers it all -- from the Entity Data Model and Object Service
Song, Min; Kim, Won Chul; Lee, Dahee; Heo, Go Eun; Kang, Keun Young
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.
Erz, Antonia; Christensen, Bo T.
affect their judgments of people and objects. We extend this research by investigating the effect of phonological fluency on recognition and recall of novel non-word brand names in three laboratory experiments. The results provide us with a more fine-grained idea of fluency effects on memory of non...
Durairaj, Vijayasarathi; Punnaivanam, Sankar
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.
Skeppstedt, Maria; Kvist, Maria; Nilsson, Gunnar H; Dalianis, Hercules
Automatic recognition of clinical entities in the narrative text of health records is useful for constructing applications for documentation of patient care, as well as for secondary usage in the form of medical knowledge extraction. There are a number of named entity recognition studies on English clinical text, but less work has been carried out on clinical text in other languages. This study was performed on Swedish health records, and focused on four entities that are highly relevant for constructing a patient overview and for medical hypothesis generation, namely the entities: Disorder, Finding, Pharmaceutical Drug and Body Structure. The study had two aims: to explore how well named entity recognition methods previously applied to English clinical text perform on similar texts written in Swedish; and to evaluate whether it is meaningful to divide the more general category Medical Problem, which has been used in a number of previous studies, into the two more granular entities, Disorder and Finding. Clinical notes from a Swedish internal medicine emergency unit were annotated for the four selected entity categories, and the inter-annotator agreement between two pairs of annotators was measured, resulting in an average F-score of 0.79 for Disorder, 0.66 for Finding, 0.90 for Pharmaceutical Drug and 0.80 for Body Structure. A subset of the developed corpus was thereafter used for finding suitable features for training a conditional random fields model. Finally, a new model was trained on this subset, using the best features and settings, and its ability to generalise to held-out data was evaluated. This final model obtained an F-score of 0.81 for Disorder, 0.69 for Finding, 0.88 for Pharmaceutical Drug, 0.85 for Body Structure and 0.78 for the combined category Disorder+Finding. The obtained results, which are in line with or slightly lower than those for similar studies on English clinical text, many of them conducted using a larger training data set, show that
Singh, Rahul Rajat
This book is for .NET developers who are developing data-driven applications using ADO.NET or other data access technologies. This book is going to give you everything you need to effectively develop and manage data-driven applications using Entity Framework.
Jupe, Steve; Jassal, Bijay; Williams, Mark; Wu, Guanming
Entities involved in pathways and the events they participate in require descriptive and unambiguous names that are often not available in the literature or elsewhere. Reactome is a manually curated open-source resource of human pathways. It is accessible via a website, available as downloads in standard reusable formats and via Representational State Transfer (REST)-ful and Simple Object Access Protocol (SOAP) application programming interfaces (APIs). We have devised a controlled vocabulary (CV) that creates concise, unambiguous and unique names for reactions (pathway events) and all the molecular entities they involve. The CV could be reapplied in any situation where names are used for pathway entities and events. Adoption of this CV would significantly improve naming consistency and readability, with consequent benefits for searching and data mining within and between databases. Database URL: http://www.reactome.org. © The Author(s) 2014. Published by Oxford University Press.
Full Text Available Abstract Background Text-mining can assist biomedical researchers in reducing information overload by extracting useful knowledge from large collections of text. We developed a novel text-mining method based on analyzing the network structure created by symbol co-occurrences as a way to extend the capabilities of knowledge extraction. The method was applied to the task of automatic gene and protein name synonym extraction. Results Performance was measured on a test set consisting of about 50,000 abstracts from one year of MEDLINE. Synonyms retrieved from curated genomics databases were used as a gold standard. The system obtained a maximum F-score of 22.21% (23.18% precision and 21.36% recall, with high efficiency in the use of seed pairs. Conclusion The method performs comparably with other studied methods, does not rely on sophisticated named-entity recognition, and requires little initial seed knowledge.
Mutihac, R.; Mutihac, R.C.
A broad range of approaches has been proposed and applied for the complex and rather difficult task of object recognition that involves the determination of object characteristics and object classification into one of many a priori object types. Our paper revises briefly the three main different paradigms in pattern recognition, namely Bayesian statistics, neural networks, and expert systems. (author)
Two spectators are each asked to think of a girl's name (because your sister in law is pregnant and names are a big issue at the moment in your family.) You explain that you have a boy's name in your head, and you ask the spectators to think what this boy's name might be. You write three names on a
Friedlander, M.C.; Roberts, K.M.
Traditionally, an owner hires an engineer to design a power facility or other project and then circulates the completed plans to several contractors for competitive bidding. Although there are many variations on this theme, there is an alternative method which is growing in popularity--the design-build concept. In this construction method, the same entity designs and constructs the facility. The design builder may be a single firm with both design and construction capacity in-house, or it may be a combination of two or more firms with complementary abilities. If there are multiple firms, they may be structured as a joint venture or with one of the firms prime and the others in a subcontracting role. The critical aspect is that the owner contracts with one entity which has the responsibility for both designing and constructing the facility. According to statistics compiled by the Design-Build Institute of America and F.W. Dodge DATALINE2, a national reporter of construction statistics and information, from April 1995 to April 1996 the number of design-build contracts increased 103 percent over the previous year. Of a total $212 billion construction market, about $37.2 billion--18 percent--was design build. The strongest growth was in the category of industrial--plants, refineries, factories and warehouses--in which the concept use was up more than 300 percent from the previous year
Bush, Sarah B.; Albanese, Judith; Karp, Karen S.
Historically, some baby names have been more popular during a specific time span, whereas other names are considered timeless. The Internet article, "How to Tell Someone's Age When All You Know Is Her Name" (Silver and McCann 2014), describes the phenomenon of the rise and fall of name popularity, which served as a catalyst for the…
Day, Linda; Sutton-Spence, Rachel
Research presented here describes the sign names and the customs of name allocation within the British Deaf community. While some aspects of British Sign Language sign names and British Deaf naming customs differ from those in most Western societies, there are many similarities. There are also similarities with other societies outside the more…
Rull Fort, Guillem; Bernstein, Philip A.; Garcia dos Santos, Ivo; Katsis, Yannis; Melnik, Sergey; Teniente López, Ernest
We describe a software architecture we have developed for a constructive containment checker of Entity SQL queries defined over extended ER schemas expressed in Microsoft's Entity Data Model. Our application of interest is compilation of object-to-relational mappings for Microsoft's ADO.NET Entity Framework, which has been shipping since 2007. The supported language includes several features which have been individually addressed in the past but, to the best of our knowledge, they have not be...
Wren Jonathan D
Full Text Available Abstract Motivation The use or study of chemical compounds permeates almost every scientific field and in each of them, the amount of textual information is growing rapidly. There is a need to accurately identify chemical names within text for a number of informatics efforts such as database curation, report summarization, tagging of named entities and keywords, or the development/curation of reference databases. Results A first-order Markov Model (MM was evaluated for its ability to distinguish chemical names from words, yielding ~93% recall in recognizing chemical terms and ~99% precision in rejecting non-chemical terms on smaller test sets. However, because total false-positive events increase with the number of words analyzed, the scalability of name recognition was measured by processing 13.1 million MEDLINE records. The method yielded precision ranges from 54.7% to 100%, depending upon the cutoff score used, averaging 82.7% for approximately 1.05 million putative chemical terms extracted. Extracted chemical terms were analyzed to estimate the number of spelling variants per term, which correlated with the total number of times the chemical name appeared in MEDLINE. This variability in term construction was found to affect both information retrieval and term mapping when using PubMed and Ovid.
We present a statistical model for the distribution of Chinese names. Both family names and given names are studied on the same basis. With naive expectation, the distribution of family names can be very different from that of given names. One is affected mostly by genealogy, while the other can be dominated by cultural effects. However, we find that both distributions can be well described by the same model. Various scaling behaviors can be understood as a result of stochastic processes. The exponents of different power-law distributions are controlled by a single parameter. We also comment on the significance of full-name repetition in Chinese population.
Ayat, N.; Akbarinia, R.; Afsarmanesh, H.; Valduriez, P.
Entity resolution (ER), also known as duplicate detection or record matching, is the problem of identifying the tuples that represent the same real world entity. In this paper, we address the problem of ER for uncertain data, which we call ERUD. We propose two different approaches for the ERUD
Full Text Available Charalampos Papagoras1, George Kitsos2, Paraskevi V Voulgari1, Anastasia K Zikou3, Maria I Argyropoulou3, Aikaterini Zioga4, Alexandros A Drosos11Rheumatology Clinic, Department of Internal Medicine; 2Department of Ophthalmology; 3Department of Clinical Imaging and Radiology, 4Department of Pathology, Medical School, University of Ioannina, Ioannina, GreeceAbstract: Periocular xanthogranulomatous diseases are a rare group of disorders which are characterized by a predilection to affect the orbit and ocular adnexa and special histopathological features, in particular infiltrates comprising non-Langerhans-derived foamy histiocytes and Touton giant cells. The differential diagnosis is difficult and occasionally definite diagnosis cannot be established even after clinical and histopathological findings are taken together. We describe a case of a middle-aged man who presented with a 10-year history of voluminous eyelid swelling with concomitant late-onset atopic manifestations, namely bronchial asthma and allergic rhinitis with nasal polyps. After thorough clinical and laboratory investigation, including a biopsy of the eyelid, we classified the patient’s disease to a rare entity that has been relatively recently described: periocular xanthogranuloma associated with adult-onset asthma. In a review of the literature, no prospective trials concerning the treatment of this disease were found. The literature mainly contained case reports and case series in which corticosteroids and chemotherapy with alkylating agents have been reported to be beneficial. We treated our patient with a combination of oral corticosteroids and cyclophosphamide pulses and we observed substantial regression of the eyelid masses together with a normalization of systemic immunologic abnormalities.Keywords: periocular xanthogranuloma, adult-onset asthma, non-Langerhans histiocytoses, cyclophosphamide, methylprednisolone
National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains the geographic place names for features in the U.S territorial waters and outer continental shelf. These names can be used to find or define a...
Schmeltz, Line; Kjeldsen, Anna Karina
This article presents a framework for understanding corporate name change as strategic communication. From a corporate branding perspective, the choice of a new name can be seen as a wish to stand out from a group of similar organizations. Conversely, from an institutional perspective, name change...
van der Valk, M.; van der Valk, M.
There exist a number of desirable transparencies in distributed computing, viz., name transparency: having a uniform way of naming entities in the system, regardless of their type or physical make up; location transparency: having a uniform way of addressing entities, regardless of their physical
Full Text Available The transition from amateur to professional in natural history is generally regarded as having taken place in the nineteenth century, but landmark events such as the 1917 appointment of mycologist Johanna Westerdijk (1883–1961 as the first female professor in the Netherlands indicate that the pattern of change for women was more varied and delayed than for men. We investigate this transition in mycology, and identify only 43 women in the Western World who published scientific mycological literature pre-1900, of whom twelve published new fungal taxa. By charting the emergence of these women over time, and comparing the output of self-taught amateurs and university graduates, we establish the key role of access to higher education in female participation in mycology. Using a suite of strategies, six of the self-taught amateurs managed to overcome their educational disadvantages and name names — Catharina Dörrien (the first to name a fungal taxon, Marie-Anne Libert, Mary Elizabeth Banning, Élise-Caroline Bommer, Mariette Rousseau, and Annie Lorrain Smith. By 1900, the professional era for women in mycology was underway, and increasing numbers published new taxa. Parity with male colleagues in recognition and promotion, however, remains an ongoing issue. Key words: Amateurs, Fungi, Gender studies, History of science, Plant pathology
Full Text Available Information Extraction (IE is a natural language processing (NLP task whose aim is to analyze texts written in natural language to extract structured and useful information such as named entities and semantic relations linking these entities. Information extraction is an important task for many applications such as bio-medical literature mining, customer care, community websites, and personal information management. The increasing information available in patient clinical reports is difficult to access. As it is often in an unstructured text form, doctors need tools to enable them access to this information and the ability to search it. Hence, a system for extracting this information in a structured form can benefits healthcare professionals. The work presented in this paper uses a local grammar approach to extract medical named entities from French patient clinical reports. Experimental results show that the proposed approach achieved an F-Measure of 90. 06%.
Orth, Donald J.; Payne, Roger L.
The Geographic Names Information System is a computer-based information system developed to meet major national needs by providing information for named entities in the United States, its territories, and outlying areas. The National Geographic Names Data Base, a component of the Geographic Names Information System, currently contains most names and associated information recorded on the 1:24,000-scale (or largest scale available) topographic maps of the U.S. Geological Survey. The work involved in this initial compilation of names shown on the topographic-map series, and the development and editing of the National Geographic Names Data Base, is referred to as Phase I. Optimal use and effectiveness of an automated names system require that the names of features
Crawley, Sharon J.
Described is a game which provides a method for teaching students to locate cities and towns on a map. Students are provided with a list of descriptive phrases which stand for the name of a city, e.g., hot weather town (Summerville, Georgia); a chocolate candy bar (Hershey, Pennsylvania). Using a map, students must then try to find the name of a…
Standardization of grant and contract awardee names has been an area of concern since the development of the Department`s Procurement and Assistance Data System (PADS). A joint effort was begun in 1983 by the Office of Scientific and Technical Information (OSTI) and the Office of Procurement and Assistance Management/Information Systems and Analysis Division to develop a means for providing uniformity of awardee names. As a result of this effort, a method of assigning vendor identification codes to each unique awardee name, division, city, and state combination was developed and is maintained by OSTI. Changes to vendor identification codes or awardee names contained in PADS can be made only by OSTI. Awardee names in the Directory indicate that the awardee has had a prime contract (excluding purchase orders of $10,000 or less) with, or a financial assistance award from, the Department. Award status--active, inactive, or retired--is not shown. The Directory is in alphabetic sequence based on awardee name and reflects the OSTI-assigned vendor identification code to the right of the name. A vendor identification code is assigned to each unique awardee name, division, city, and state (for place of performance). The same vendor identification code is used for awards throughout the Department.
... cooperative, nonprofit, limited dividend or mutual associations, limited liability companies, commercial... or partnerships of individuals are not eligible entities. (2) An entity is not eligible if it serves...
In many databases, science bibliography database for example, name attribute is the most commonly chosen identifier to identify entities. However, names are often ambiguous and not always unique which cause problems in many fields. Name disambiguation is a non-trivial task in data management that aims to properly distinguish different entities which share the same name, particularly for large databases like digital libraries, as only limited information can be used to identify authors\\' name. In digital libraries, ambiguous author names occur due to the existence of multiple authors with the same name or different name variations for the same person. Also known as name disambiguation, most of the previous works to solve this issue often employ hierarchical clustering approaches based on information inside the citation records, e.g. co-authors and publication titles. In this paper, we focus on proposing a robust hybrid name disambiguation framework that is not only applicable for digital libraries but also can be easily extended to other application based on different data sources. We propose a web pages genre identification component to identify the genre of a web page, e.g. whether the page is a personal homepage. In addition, we propose a re-clustering model based on multidimensional scaling that can further improve the performance of name disambiguation. We evaluated our approach on known corpora, and the favorable experiment results indicated that our proposed framework is feasible. © 2013 Akadémiai Kiadó, Budapest, Hungary.
Zhu, Jia; Yang, Yi; Xie, Qing; Wang, Liwei; Hassan, Saeed-Ul
In many databases, science bibliography database for example, name attribute is the most commonly chosen identifier to identify entities. However, names are often ambiguous and not always unique which cause problems in many fields. Name disambiguation is a non-trivial task in data management that aims to properly distinguish different entities which share the same name, particularly for large databases like digital libraries, as only limited information can be used to identify authors' name. In digital libraries, ambiguous author names occur due to the existence of multiple authors with the same name or different name variations for the same person. Also known as name disambiguation, most of the previous works to solve this issue often employ hierarchical clustering approaches based on information inside the citation records, e.g. co-authors and publication titles. In this paper, we focus on proposing a robust hybrid name disambiguation framework that is not only applicable for digital libraries but also can be easily extended to other application based on different data sources. We propose a web pages genre identification component to identify the genre of a web page, e.g. whether the page is a personal homepage. In addition, we propose a re-clustering model based on multidimensional scaling that can further improve the performance of name disambiguation. We evaluated our approach on known corpora, and the favorable experiment results indicated that our proposed framework is feasible. © 2013 Akadémiai Kiadó, Budapest, Hungary.
Cheng, Xiaorong; Schafer, Graham; Akyürek, Elkan G.
Name agreement is the extent to which different people agree on a name for a particular picture. Previous studies have found that it takes longer to name low name agreement pictures than high name agreement pictures. To examine the effect of name agreement in the online process of picture naming, we
D. Rebholz-Schuhmann (Dietrich); A.J. Jimeno-Yepes (Antonio José); E.M. van Mulligen (Erik); N. Kang (Ning); J.A. Kors (Jan); D. Milward (David); P. Corbett (Peter); E. Buyko (Ekaterina); Tomanek (Katrin); E. Beisswanger (Elena); U. Hahn (Udo)
textabstractThe production of gold standard corpora is time-consuming and costly. We propose an alternative: the 'silver standard corpus' (SSC), a corpus that has been generated by the harmonisation of the annotations that have been delivered from a selection of annotation systems. The systems have
In this article, the author describes a texture and pattern project. Students started by doing an outline contour drawing of an animal. With the outline drawn, the students then write one of their names to fit "inside" the animal.
Take advantage of the Code First data modeling approach in ADO.NET Entity Framework, and learn how to build and configure a model based on existing classes in your business domain. With this concise book, you'll work hands-on with examples to learn how Code First can create an in-memory model and database by default, and how you can exert more control over the model through further configuration. Code First provides an alternative to the database first and model first approaches to the Entity Data Model. Learn the benefits of defining your model with code, whether you're working with an exis
Kaptein, R.; Serdyukov, P.; de Vries, A.; Kamps, J.; Huang, X.J.; Jones, G.; Koudas, N.; Wu, X.; Collins-Thompson, K.
In this paper we investigate the task of Entity Ranking on the Web. Searchers looking for entities are arguably better served by presenting a ranked list of entities directly, rather than a list of web pages with relevant but also potentially redundant information about these entities. Since
Full Text Available A semantic tagger aiming to detect relevant entities in Arabic medical documents and tagging them with their appropriate semantic class is presented. The system takes profit of a Multilingual Framework covering four languages (Arabic, English, French, and Spanish, in a way that resources available for each language can be used to improve the results of the others, this is specially important for less resourced languages as Arabic. The approach has been evaluated against Wikipedia pages of the four languages belonging to the medical domain. The core of the system is the definition of a base tagset consisting of the three most represented classes in SNOMED-CT taxonomy and the learning of a binary classifier for each semantic category in the tagset and each language, using a distant learning approach over three widely used knowledge resources, namely Wikipedia, Dbpedia, and SNOMED-CT.
Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. Patter Recognition, 2e covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. This book presents cutting-edge material on neural networks, - a set of linked microprocessors that can form associations and uses pattern recognition to ""learn"" -and enhances student motivation by approaching pattern recognition from the designer's point of view. A direct result of more than 10
Ion IVAN; Bogdan VINTILA
The paper presents the testing process of the application for the analysis of structured text entities. The structured entities are presented. Quality characteristics of structured entities are identified and analyzed. The design and building processes are presented. Rules for building structured entities are described. The steps of building the application for the analysis of structured text entities are presented. The objective of the testing process is defined. Ways of testing the applicat...
Petersen, Niklas Christoffer; Villadsen, Jørgen
We present a formal logical approach using a combinatory categorial grammar for entity level sentiment analysis that utilizes machine learning techniques for efficient syntactical tagging and performs a deep structural analysis of the syntactical properties of texts in order to yield precise resu...
Full Text Available We define BioScapeL, a stochastic pi-calculus in 3D-space. A novel aspect of BioScapeL is that entities have programmable locations. The programmer can specify a particular location where to place an entity, or a location relative to the current location of the entity. The motivation for the extension comes from the need to describe the evolution of populations of biochemical species in space, while keeping a sufficiently high level description, so that phenomena like diffusion, collision, and confinement can remain part of the semantics of the calculus. Combined with the random diffusion movement inherited from BioScape, programmable locations allow us to capture the assemblies of configurations of polymers, oligomers, and complexes such as microtubules or actin filaments. Further new aspects of BioScapeL include random translation and scaling. Random translation is instrumental in describing the location of new entities relative to the old ones. For example, when a cell secretes a hydronium ion, the ion should be placed at a given distance from the originating cell, but in a random direction. Additionally, scaling allows us to capture at a high level events such as division and growth; for example, daughter cells after mitosis have half the size of the mother cell.
Full Text Available The article is aimed at investigation of social effectiveness of business entities. Social aspect of business is becoming a necessary component of success, increase of profitability and competitiveness as well as minimization of risks. Social effectiveness is referred to as correspondence between economic activity and main social needs and aims of society, interests of the staff and interests of a certain person. Investigation of social effectiveness of business entities is suggested to analyze with the help of social factors. Social factors are characterized by variability of expectations, relations and interests of society, staff and individuals. We suggest generalized classification of factors which have an impact on social effectiveness of business, we single out external and internal factors. To external factors belong: income of the population, differentiation of population according to income, migration, level of salaries, level of legality of income of population, family status of population, employment rate, age structure of population etc. As for internal factors we single out the following: low level of basic professional training, use of unskilled workers, absence of conditions for creativity, imperfection of system of motivation of professional growth, absence of specialized centers for certification training etc. Quantity and quality analysis of the above mentioned factors will enable to determine the level of social effectiveness of business entities. For analyses of degree of influence of factors on effectiveness we worked out a questionnaire of expert assessment which is represented in the form of assessment scale. We conducted a questionnaire and analyzed expert results and determined degree of influence of factors on social effectiveness of business. Assessment of level of social effectiveness of business entities was carried out by expert method of certain factor and was represented by a formula. The scale of assessment of
Increased host mobility, and multi-homing make IP address management very complex in applications. Due to host mobility, the IP address of a host may change dynamically, and also frequently. Multi-homing leads to multiple IP addresses for a single host. Name-based socket is a solution to address the complex IP address management. It relieves the applications from the overhead, and moves it to the operating system. It uses a constant name, instead of an IP address to establish a connection, th...
Casalicchio, Emiliano; Caselli, Marco; Coletta, Alessio; Di Blasi, Salvatore; Fovino, Igor Nai; Butts, Jonathan; Shenoi, Sujeet
Modern critical infrastructure assets are exposed to security threats arising from their use of IP networks and the Domain Name System (DNS). This paper focuses on the health of DNS. Indeed, due to the increased reliance on the Internet, the degradation of DNS could have significant consequences for
Full Text Available A comparison of collections of Euphorbia elata from accross its range withspecimens of E. sinclairiana from its only known locality, the island of Gorgona,off the Pacific coast of Colombia, shows that the two entities are better treated asconspecific, under the older name E. sinclairiana.
Basu, Bishnupriya; Basu, Saikat; Basu, Jharna
Compulsive buying is an under-recognised entity among Indian psychiatrists. A Medline search, hand searching of journals and direct communications with lead investigators in compulsive buying have generated numerous studies. Overseas data indicate a community prevalence between 1% and 8% . The phenomenon can be an independent entity or appears as a comorbidity with another axis I or axis II disorder. A degree of suspicion on part of clinician regarding its possible presence is the key to its detection. A few rating instruments are available to quantify the morbidity and screening for compulsive buying. Management involves pharmacotherapy with SSRIs, psychotherapy, self-help groups and self-help books. Epidemiological and clinical studies on compulsive buying should be undertaken by Indian psychiatrists to provide better services for people suffering from compulsive buying.
This book takes a step-by-step problem solving approach that leads you through a problem and explains each step in detail to accomplish the goal. This books gives you concrete code examples as well as detailed information on the decisions involved. This book is for intermediate to advanced .NET developers who have used LINQ to SQL or Entity Framework in some form but want to have more control over the implementation.
Mrabet, Yassine; Kilicoglu, Halil; Roberts, Kirk; Demner-Fushman, Dina
Determining the main topics in consumer health questions is a crucial step in their processing as it allows narrowing the search space to a specific semantic context. In this paper we propose a topic recognition approach based on biomedical and open-domain knowledge bases. In the first step of our method, we recognize named entities in consumer health questions using an unsupervised method that relies on a biomedical knowledge base, UMLS, and an open-domain knowledge base, DBpedia. In the next step, we cast topic recognition as a binary classification problem of deciding whether a named entity is the question topic or not. We evaluated our approach on a dataset from the National Library of Medicine (NLM), introduced in this paper, and another from the Genetic and Rare Disease Information Center (GARD). The combination of knowledge bases outperformed the results obtained by individual knowledge bases by up to 16.5% F1 and achieved state-of-the-art performance. Our results demonstrate that combining open-domain knowledge bases with biomedical knowledge bases can lead to a substantial improvement in understanding user-generated health content.
Full Text Available In this essay I recommend ‘theriocide’ as the name for those diverse human actions that cause the deaths of animals. Like the killing of one human by another, theriocide may be socially acceptable or unacceptable, legal or illegal. It may be intentional or unintentional and may involve active maltreatment or passive neglect. Theriocide may occur one-on-one, in small groups or in large-scale social institutions. The numerous and sometimes intersecting sites of theriocide include intensive rearing regimes; hunting and fishing; trafficking; vivisection; militarism; pollution; and human-induced climate change. If the killing of animals by humans is as harmful to them as homicide is to humans, then the proper naming of such deaths offers a remedy, however small, to the extensive privileging of human lives over those of other animals. Inevitably, the essay leads to a shocking question: Is theriocide murder?
Pouillard, Nicolas; Bernardy, Jean-Philippe
We propose a novel technique to represent names and binders in Haskell. The dynamic (run-time) representation is based on de Bruijn indices, but it features an interface to write and manipulate variables conviently, using Haskell-level lambdas and variables. The key idea is to use rich types...... and manipulation in a natural way, while retaining the good properties of representations based on de Bruijn indices....
Full Text Available ABSTRACT One of the components of financial statements that are considered useful to look at the condition of the company namely the income statement. One component of the income statement are income the main problems in accounting revenue is determining when revenue recognition. Activities of the company will be deemed ineffective and inefficient when revenue recognition is not done properly. Therefore the recognition of revenue have been set in PSAK No.232010. According to PSAK 232010 revenue is the gross inflow of economic benefits arising from the normal activities of an entity during a period when those inflows result in increases in equity that is not derived from the contribution of investors. The main income earned Damri Corporation is selling the economic city bus bus with air conditioner and Trans Metro Bandung to society or passengers. Damri Corporation is a State-Owned Enterprises SOEs engaged in the provision of transport services one of them a city bus. Final assignment method used is descriptive method descriptive observational methods that analyze about the condition of the company. Damri Corp. apply accrual basis as for recognizing revenue. Application of revenue recognition is done by Damri Corporation in accordance with PSAK No. 232010 in which revenue is recognized on the basis of PSAK No. 232010. The possibility that the economic benefits associated with the transaction will be obtained by the entity and the amount of revenue can be measured reliably. Revenue Recognition In accordance with PSAK No.232010 at Damri Corporation can be concluded that the basic recording of revenue recognition is used Damri Corporation accrual basis accrual basis of revenue recognition is where the income from the sale of goods or services is recognized in the period of the transaction although cash has not been received by the company the transaction has been recorded and recognized as revenue.
Heald, Shannon L. M.; Van Hedger, Stephen C.; Nusbaum, Howard C.
In our auditory environment, we rarely experience the exact acoustic waveform twice. This is especially true for communicative signals that have meaning for listeners. In speech and music, the acoustic signal changes as a function of the talker (or instrument), speaking (or playing) rate, and room acoustics, to name a few factors. Yet, despite this acoustic variability, we are able to recognize a sentence or melody as the same across various kinds of acoustic inputs and determine meaning based on listening goals, expectations, context, and experience. The recognition process relates acoustic signals to prior experience despite variability in signal-relevant and signal-irrelevant acoustic properties, some of which could be considered as “noise” in service of a recognition goal. However, some acoustic variability, if systematic, is lawful and can be exploited by listeners to aid in recognition. Perceivable changes in systematic variability can herald a need for listeners to reorganize perception and reorient their attention to more immediately signal-relevant cues. This view is not incorporated currently in many extant theories of auditory perception, which traditionally reduce psychological or neural representations of perceptual objects and the processes that act on them to static entities. While this reduction is likely done for the sake of empirical tractability, such a reduction may seriously distort the perceptual process to be modeled. We argue that perceptual representations, as well as the processes underlying perception, are dynamically determined by an interaction between the uncertainty of the auditory signal and constraints of context. This suggests that the process of auditory recognition is highly context-dependent in that the identity of a given auditory object may be intrinsically tied to its preceding context. To argue for the flexible neural and psychological updating of sound-to-meaning mappings across speech and music, we draw upon examples
... FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY TERRORISM LIST GOVERNMENTS SANCTIONS REGULATIONS General Definitions § 596.308 Person; entity. (a) The term person means an individual or entity. (b) The...
Bron, M.; Balog, K.; de Rijke, M.
Related entity finding is the task of returning a ranked list of homepages of relevant entities of a specified type that need to engage in a given relationship with a given source entity. We propose a framework for addressing this task and perform a detailed analysis of four core components;
R. Kaptein; P. Serdyukov; A.P. de Vries (Arjen); J. Kamps
htmlabstractIn this paper we investigate the task of Entity Ranking on the Web. Searchers looking for entities are arguably better served by presenting a ranked list of entities directly, rather than a list of web pages with relevant but also potentially redundant information about
Bonneau, Joseph; Just, Mike; Matthews, Greg
We study the efficiency of statistical attacks on human authentication systems relying on personal knowledge questions. We adapt techniques from guessing theory to measure security against a trawling attacker attempting to compromise a large number of strangers' accounts. We then examine a diverse corpus of real-world statistical distributions for likely answer categories such as the names of people, pets, and places and find that personal knowledge questions are significantly less secure than graphical or textual passwords. We also demonstrate that statistics can be used to increase security by proactively shaping the answer distribution to lower the prevalence of common responses.
During a lesson with my A-level physics class, my school's head of English came into the lab and happened to notice the whiteboard. I had just started teaching a section on particle physics and was acquainting the students with the multitude of names found in the particle world. Among others, the board contained the words lepton, hadron, meson, baryon, photon, gluon, boson, muon, neutrino, fermion and quark. The head of English pointed out that none of the words on the board were intelligible to anyone else in the school. He added that the words themselves were utterly bizarre, although in fairness he did recognize the reference to James Joyce.
Full Text Available This paper presents a method of speech recognition by pattern recognition techniques. Learning consists in determining the unique characteristics of a word (cepstral coefficients by eliminating those characteristics that are different from one word to another. For learning and recognition, the system will build a dictionary of words by determining the characteristics of each word to be used in the recognition. Determining the characteristics of an audio signal consists in the following steps: noise removal, sampling it, applying Hamming window, switching to frequency domain through Fourier transform, calculating the magnitude spectrum, filtering data, determining cepstral coefficients.
Full Text Available The process of globalization, international businesses, as well as competitive markets imposed the companies (large ones, as well as the others to position in the required market. Making profit, which is the basic aim of every company, in such market environment can only be achieved by demonstrating distinct characteristics of a company, the characteristics which distinguish it from others with the same or similar activities. Historical and analysis of the current market have shown that being recognizable in the multitude of similar companies is a huge challenge, but also one of the main preconditions for successful operations. The moment a company is registered it acquires a specific identity primarily owing to its business name, which distinguishes it from other companies during that first period. Practically at the same time, the company starts creating its image or goodwill by means of several distinctive ways. One of them is branding business name or corporate branding. However, apart from large benefits, companies may also have big difficulties and risks in the same process as well.
Full Text Available Functional chronic constipation is a common symptom in daily clinical practice. Although the definition of constipation may be variable, there is usually agreement that (at least for research purposes the definition given by the Rome Committee are useful. However, some blind spots or hidden angles remain, even in the more thorough classifications; among these, there is painful constipation, a poorly defined yet clinically encountered entity. The present article reviews the current knowledge about painful constipation, trying to put together the scarce data available, and to frame it in the more general context of chronic constipation.
Full Text Available Functional chronic constipation is a common symptom in daily clinical practice. Although the definition of constipation may be variable, there is usually agreement that (at least for research purposes the definition given by the Rome Committee are useful. However, some blind spots or hidden angles remain, even in the more thorough classifications; among these, there is painful constipation, a poorly defined yet clinically encountered entity. The present article reviews the current knowledge about painful constipation, trying to put together the scarce data available, and to frame it in the more general context of chronic constipation.
Full Text Available Thanatophoric dysplasia is the lethal skeletal dysplasia characterized by marked underdevelopment of the skeleton and short-limb dwarfism. The child will be having a short neck, narrow thoracic cage and protuberant abdomen. Other anatomical features include a relatively enlarged head with frontal bossing, prominent eyes, hypertelorism and the depressed nasal bridge. The diagnosis is usually made with the ultrasonography in the second trimester. In this study we report a case of this rare entity with emphasis on its anatomical features, abnormalities and clinical profile with relevant review of literature.
Keeling, A. N.; Costello, R.; Lee, M. J.
We present the case of a rare entity which is a complication of a disease process that had almost disappeared from the Western World. With the recent resurgence in reported cases of Mycobacterium tuberculosis (TB) in Western communities, it is important to recognize complications and sequelae. A young alcoholic male with confirmed active TB suffered a cardiac arrest following massive haemoptysis. Multidetector computed tomography angiography diagnosed a Rasmussen's aneurysm, confirmed by digital subtraction angiography and then successfully embolized with glue. We outline this rare case and the embolization technique and review previously documented reports
Full Text Available Osteomyelitis of the maxilla is now a rare event with the advent of antibiotics. The two predominant causes are odontogenic infections and sinusitis. Immunocompromised states such as diabetes, HIV, and malnutrition increase the risk of osteomyelitis. It is important to recognize this early as it is a difficult entity to treat with potentially serious consequences. We report an unusual case of right sided maxillary osteomyelitis in a lady with poorly controlled diabetes in rural Lincolnshire. Biopsy of the right maxillary bone showed features of acute osteomyelitis. This responded well to a prolonged course of oral antibiotics.
R. Narasimhan (Krishtel eMaging) 1461 1996 Oct 15 13:05:22
nition systems have gained acceptable accuracy levels, the accuracy of recognition of current connected ... bar code and ISBN1 library code to name a few. ..... Kopec G, Bush M 1985 Network-based connected-digit recognition. IEEE Trans.
Bloothooft, G.; Onland, D.
Modern naming practices in the Netherlands between 1982 and 2005 were studied on the basis of 1409 popular first names, divided into fourteen name groups determined by the common preferences of parents for the names involved. Socioeconomic variables such as family income, parents' level of
Habib, Mena Badieh; van Keulen, Maurice
Short context messages (like tweets and SMS’s) are a potentially rich source of continuously and instantly updated information. Shortness and informality of such messages are challenges for Natural Language Processing tasks. Most efforts done in this direction rely on machine learning techniques
Orth, Donald J.
This work is an alphabetical list of the geographic names that are now applied and have been applied to places and features of the Alaska landscape. Principal names, compiled from modem maps and charts and printed in boldface type, generally reflect present-day local usage. They conform to the principles of the U.S. Board on Geographic Names for establishing standard names for use on Government maps and in other Government publications. Each name entry gives the present-day spelling along with variant spellings and names; identifies the feature named; presents the origin and history of the name; and, where possible, gives the meaning of an Eskimo, Aleut, Indian, or foreign name. Variant, obsolete, and doubtful names are alphabetically listed and are cross referenced, where necessary, to the principal entries.
Stevenage, Sarah V; Lewis, Hugh G
The nominal competitor effect suggests that, when a person has two names associated with them, recall of either name is more difficult than if they just had one name. Drawing on a connectionist framework, this effect could arise either if multiple names were represented as being connected to a single person identity node (PIN), or if multiple names were represented as being connected via one-to-one links to multiple PINs. Whilst the latter has intuitive appeal, results from two experiments support the former architecture. Having two names connected to a single PIN not only gives rise to a nominal competitor effect (Experiment 1), but also gives rise to a familiarity enhancement effect (Experiment 2). These empirical results are simulated using an extension of Brédart, Valentine, Calder, and Gassi's (1995) connectionist architecture, which reveals that both effects hold even when the association of both names to the PIN is unequal. These results are presented in terms of a more complete model for person recognition, and the representation of semantic information within such a model is examined.
Franco-Russian NAMES Seminars are held for the purpose of reviewing and discussing actual developments in the field of materials science by researchers from Russia and from the Lorraine Region of France. In more precise terms, as set down by the organizers of the seminar (the Moscow Institute of Steel and Alloys and the Institut National Polytechnique de Lorraine), the mission of the seminars is as follows: the development of scientific and academic contacts, giving a new impulse to joint fundamental research and technology transfer the development and consolidation of scientific, technical and business collaboration between the regions of Russia and Lorraine through direct contact between the universities, institutes and companies involved The first Seminar took place on 27-29 October 2004, at the Institut National Polytechnique de Lorraine (on the premises of the Ecole Européenne d'Ingénieurs en Génie des Matériaux, Nancy, France). The number, variety and quality of the oral presentations given and posters exhibited at the first Seminar were of high international standard. 30 oral presentations were given and 72 posters were presented by 19 participants from five universities and three institutes of the Russian Academy of Sciences participants from 11 laboratories of three universities from the Lorraine region three industrial companies, including the European Aeronautic Defence and Space Company—EADS, and ANVAR (Agence Nationale de Valorisation de la Recherche) From 2005 onwards, it was decided to organize the Seminar every other year. The second Seminar convened on the occasion of the 75th Anniversary of the Moscow Institute of Steel and Alloys on 10-12 November 2005 in Moscow, Russia. The seminar demonstrated the efficiency of the scientific partnership founded between the research groups of Russia and France during the first Seminar. High productivity of the Franco-Russian scientific cooperation on the basis of the Research-Educational Franco
Christophides, Vassilis; Stefanidis, Kostas
In recent years, several knowledge bases have been built to enable large-scale knowledge sharing, but also an entity-centric Web search, mixing both structured data and text querying. These knowledge bases offer machine-readable descriptions of real-world entities, e.g., persons, places, published on the Web as Linked Data. However, due to the different information extraction tools and curation policies employed by knowledge bases, multiple, complementary and sometimes conflicting descriptions of the same real-world entities may be provided. Entity resolution aims to identify different descrip
Goto, Y. (Ministry of International Trade and Industry, Tokyo (Japan))
Significance of using 'super' for naming a project of technological development is discussed. Functions of naming are classified into (1) recognition, (2) display and (3) sales-promotion, whereby mechanism of naming of merchandise that is developed through the technique of 3 is considered. Further, the mechanism of naming is discussed in relation to marketing. It is pointed out that naming of merchandise is determined on the basis of (1) concept of planned goods and (2) marketing-mixes composed of goods, price, sales-roots and sales-promotion. The same mechanism works also in a project for technological development. Technical trends are caught and projects are targetted by taking supposed regimes into account, thereby the most suitable mix is formed. The mix in the technological development is assumed to be composed of purpose, specification, regime and sales-promotion. Two examples of the governmental projects by Ministry of International Trade and Industry, 'the big regime for research and development on industrial technologies' and 'the regime for development of the fundamental technologies in the next generation' are introduced and the significance of their naming is described. 2 tabs.
López-Ibor Aliño, J J; Cervera Enguix, S
Anorexia nervosa and bulimia nervosa are at the present moment, two well defined clinical entities among the group of the eating disorders. The psychopathological differentiation of both syndromes has a great importance for diagnosis and therapy. The authors make a phenomenological description, based on case histories of patients with diagnostics of anorexia and bulimia nervosa, and try to establish an approach to the essential symptomatology of those disorders. The presence of affective symptomatology--depressive, but not exclusively--in the eating behaviour disorders in general and particularly in bulimia nervosa, is nowadays interpreted as an unspecific emotional lability as a response to stressing situations. That is to say, it is a secondary depressive symptomatology, more than a primary mood disorder preceding or underlying bulimia. There is strong evidence in favour of a dysregulation of serotonin metabolism in patients with bulimia nervosa, in the sense of a reduced activity, which manifest itself clinically by binges with food with a high content in carbohydrates. High levels of 5-HT seem to induce increasing feelings of safety, fullness and lead to an interruption of eating. Fluoxetine and this active metabolite are selective inhibitors of the reuptake of 5-HT and their antibulimic effect could be mediated by this mechanism.
Erz, Antonia; Christensen, Bo T.
Whereas brand name research has focused on the semantic meaning or sounds of names, processing fluency lends further support to the idea that meaning goes beyond semantics. Extant research has shown that phonological fluency, i.e., the ease or difficulty with which people pronounce names, can...
The current consensus is that vernacular names assigned to the runes of the Germanic fuþark and to Irish ogam characters are indigenous creations independent of Mediterranean alphabet traditions. I propose, however, that ogam-names are based on interpretations of Hebrew, Greek or Latin letter-names
... 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...
... framework for Farm Credit System (System) institutions' use of unincorporated business entities (UBEs) organized under State law for certain business activities. A UBE includes limited partnerships (LPs...-AC65 Unincorporated Business Entities AGENCY: Farm Credit Administration. ACTION: Final rule. SUMMARY...
Khalid, M.A.; Marx, M.; Makkes, M.X.
We define the notion of an entity model for a special kind of document popular on the web: an article followed by a list of reactions on that article, usually by many authors, usually inverse chronologically ordered. We call these documents trigger-reactions pairs. The entity model describes which
Zaragoza, Hugo; Rode, H.; Mika, Peter; Atserias, Jordi; Ciaramita, Massimiliano; Attardi, Guiseppe
We discuss the problem of ranking very many entities of different types. In particular we deal with a heterogeneous set of types, some being very generic and some very specific. We discuss two approaches for this problem: i) exploiting the entity containment graph and ii) using a Web search engine
... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 595.303 Section 595.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY TERRORISM SANCTIONS REGULATIONS General Definitions § 595.303 Entity...
... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 800.211 Section 800.211 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF INVESTMENT... separate legal entity) operated by any one of the foregoing as a business undertaking in a particular...
This book is intended for software developers with some prior experience with the Microsoft .NET framework who want to learn how to use Entity Framework. This book will get you up and running quickly, providing many examples that illustrate all the key concepts of Entity Framework.
... 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...
Full Text Available The paper presents the testing process of the application for the analysis of structured text entities. The structured entities are presented. Quality characteristics of structured entities are identified and analyzed. The design and building processes are presented. Rules for building structured entities are described. The steps of building the application for the analysis of structured text entities are presented. The objective of the testing process is defined. Ways of testing the application on components and as a whole are established. A testing strategy for different objectives is proposed. The behavior of users during the testing period is analyzed. Statistical analysis regarding the behavior of users in processes of infinite resources access are realized.
The Geographic Names Information System (GNIS), developed by the U.S. Geological Survey in cooperation with the U.S. Board on Geographic Names (BGN), contains information about physical and cultural geographic features in the United States and associated areas, both current and historical, but not including roads and highways. The database also contains geographic names in Antarctica. The database holds the Federally recognized name of each feature and defines the location of the feature by state, county, USGS topographic map, and geographic coordinates. Other feature attributes include names or spellings other than the official name, feature designations, feature class, historical and descriptive information, and for some categories of features the geometric boundaries. The database assigns a unique feature identifier, a random number, that is a key for accessing, integrating, or reconciling GNIS data with other data sets. The GNIS is our Nation's official repository of domestic geographic feature names information.
Full Text Available According to the characteristics of Laos organization name, this paper proposes a two layer model based on conditional random field (CRF and support vector machine (SVM for Laos organization name recognition. A layer of model uses CRF to recognition simple organization name, and the result is used to support the decision of the second level. Based on the driving method, the second layer uses SVM and CRF to recognition the complicated organization name. Finally, the results of the two levels are combined, And by a subsequent treatment to correct results of low confidence recognition. The results show that this approach based on SVM and CRF is efficient in recognizing organization name through open test for real linguistics, and the recalling rate achieve 80. 83％and the precision rate achieves 82. 75％.
Full Text Available As is generally defined, eponymy, one of the word-formation processes refers to the derivation of a name of a city, country, era, institution, or other place or thing from that of a person such as sandwich, wellington, mackintosh or cardigan. Eponymy can be classified in several ways, some refer to foods (Pizza Margaritha, diseases (Alzheimer disease, places (Washington, scientific laws (Archimedes’s principle and sport terms (Axel jump, whereas others indicate trademarks, brand names (aspirin, prizes, awards (Nobel Prize, inventions (Rubic’s Cube, ideologies (Darwinism, colleges, universities (Stanford University and companies (Ford. The present paper discusses eponyms which denote companies based on the name of their founder(s (e.g. Porsche, Siemens, Gucci, Campari, Cadbury, McDonald’s and Walt Disney, etc. by revealing what kind of a metonymic relationship is manifested in them. Cognitive linguists, such as Lakoff and Johnson (1980, Radden and Kövecses (1999 and Kövecses (2002 state that metonymy is essentially a conceptual phenomenon, in which one conceptual entity, the vehicle, provides mental access to another conceptual entity, the target, within the same idealized cognitive model. In fact, metonymy is part of our everyday way of thinking, and is grounded in experience. Common metonymies include PRODUCER FOR PRODUCT (Pass me the Shakespeare on the top shelf., PLACE FOR EVENT (Iraq nearly cost Tony Blair the premiership, PLACE FOR INSTITUTION (Downing Street refused comment., PART FOR THE WHOLE (She’s not just a pretty face., WHOLE FOR THE PART (England beat Australia in the 2003 Rugby World Cup final. and EFFECT FOR CAUSE (He has a long face.. Following the cognitive approach to metonyms, I tentatively suggest that the metonymy PRODUCER FOR THE PRODUCT can be observed in the case of car makes, products of famous fashion houses, cosmetics and drinks as is illustrated by examples like He’s bought a Ferrari. I ate a McDonald or
Kristensen, Bent Bruun
Ambient systems are modeled by entities, activities and contexts, where entities exist in contexts and engage in activities. A context supports a dynamic collection of entities by services and offers awareness information about the entities. Activities also exist in contexts and model ongoing...... collaborations between entities. Activities and local contexts also obtain awareness information from the context about the dynamic collection of entities. Similarly activities, local contexts and entities are offered awareness information about activities and local contexts....
Mølgaard, Lasse Lohilahti; Jørgensen, Kasper Winther
Speaker recognition is basically divided into speaker identification and speaker verification. Verification is the task of automatically determining if a person really is the person he or she claims to be. This technology can be used as a biometric feature for verifying the identity of a person...
Perea, Manuel; Jiménez, María; Talero, Fernanda; López-Cañada, Soraya
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.
The main reasons for changes in botanical names are briefly reviewed, with examples from the lists. At this time, about 1040 grass species and subspecific taxa are recognized in the subcontinent. Keywords: botanical research; botanical research institute; botany; grass; grasses; identification; name change; nomenclature; ...
Johnson, C J; Paivio, A; Clark, J M
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.
[eng] In this dissertation I present a critical study of fiction, focusing on the semantics of fictional names and fictional discourse. I am concerned with the issue of whether fictional names need to refer, and also with the related issue of whether fictional characters need to exist, in order to best account for our linguistic practices involving fictional names. Fictional names like ‘Sherlock Holmes’, ‘Anna Karenina’, ‘Emma Woodhouse’ and ‘Don Quixote of La Mancha’ ordinarily occur in diff...
de Rijke, Maarten; Balog, Krisztian; Bogers, Toine
be assessed by means of precision and recall values of the descriptive terms produced. However, recent evidence suggests that more sophisticated metrics are needed that go beyond mere lexical matching of system-produced descriptors against a ground truth, allowing for graded relevance and rewarding diversity......Entity profiling is the task of identifying and ranking descriptions of a given entity. The task may be viewed as one where the descriptions being sought are terms that need to be selected from a knowledge source (such as an ontology or thesaurus). In this case, entity profiling systems can...... in the list of descriptors returned. In this note, we motivate and propose such a metric....
Aabrandt, Andreas; Hansen, Vagn Lundsgaard; Poulsen, Bjarne
then be ranked according to how essential their positions are in the network by considering the effect of their respective absences. Defining a ranking of a network which takes the individual position of each entity into account has the purpose of assigning different roles to the entities, e.g. agents......, in the network. In this paper it is shown that the topology of a given network induces a ranking of the entities in the network. Further, it is demonstrated how to calculate this ranking and thus how to identify weak sub-networks in any given network....
Olsen, Søren I.
An approach to exemplar based recognition of visual shapes is presented. The shape information is described by attributed interest points (keys) detected by an end-stop operator. The attributes describe the statistics of lines and edges local to the interest point, the position of neighboring int...... interest points, and (in the training phase) a list of recognition names. Recognition is made by a simple voting procedure. Preliminary experiments indicate that the recognition is robust to noise, small deformations, background clutter and partial occlusion....
Since 1758, with the publication of Systema Naturae by Linnaeus, thousands of scientific names have been proposed for molluscs. The derivation and uses of many of them are here examined from various viewpoints, beginning with names based on appearance, size, vertical distribution, and location.
... entrepreneur is an entity that, together with its controlling interests and affiliates, has average annual... entrepreneur, as defined in this section, or a consortium of entrepreneurs may use the bidding credit specified...
... entrepreneur is an entity that, together with its controlling interests and affiliates, has average gross... entrepreneur, as defined in this section, or a consortium of entrepreneurs may use the bidding credit specified...
Snoeckx, Annemie; Dendooven, Amélie; Carp, Laurens; Desbuquoit, Damien; Spinhoven, Maarten J; Lauwers, Patrick; Van Schil, Paul E; van Meerbeeck, Jan P; Parizel, Paul M
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.
In this book, we introduce the background and mainstream methods of probabilistic modeling and discriminative parameter optimization for speech recognition. The specific models treated in depth include the widely used exponential-family distributions and the hidden Markov model. A detailed study is presented on unifying the common objective functions for discriminative learning in speech recognition, namely maximum mutual information (MMI), minimum classification error, and minimum phone/word error. The unification is presented, with rigorous mathematical analysis, in a common rational-functio
Full Text Available electronic pronunciation dictionaries (used in spoken dialogue systems) with the most important variants that occur in practice, in order to increase the accuracy of name recognition....
Zhou, Jianfeng; Lou, Yang; Chen, Guanrong; Tang, Wallace K. S.
Naming game is a simulation-based experiment used to study the evolution of languages. The conventional naming game focuses on a single language. In this paper, a novel naming game model named multi-language naming game (MLNG) is proposed, where the agents are different-language speakers who cannot communicate with each other without a translator (interpreter) in between. The MLNG model is general, capable of managing k different languages with k ≥ 2. For illustration, the paper only discusses the MLNG with two different languages, and studies five representative network topologies, namely random-graph, WS small-world, NW small-world, scale-free, and random-triangle topologies. Simulation and analysis results both show that: 1) using the network features and based on the proportion of translators the probability of establishing a conversation between two or three agents can be theoretically estimated; 2) the relationship between the convergence speed and the proportion of translators has a power-law-like relation; 3) different agents require different memory sizes, thus a local memory allocation rule is recommended for saving memory resources. The new model and new findings should be useful for further studies of naming games and for better understanding of languages evolution from a dynamical network perspective.
Ejersbo, Lisser Rye; Misfeldt, Morten
This paper concerns the results from the first year of a three-year research project involving the relationship between Danish number names and their corresponding digits in the canonical base 10 system. The project aims to develop a system to help the students’ understanding of the base 10 syste...... the Danish number names are more complicated than in other languages. Keywords: A research project in grade 0 and 1th in a Danish school, Base-10 system, two-digit number names, semiotic, cognitive perspectives....
This paper analyzes the role of brand name recognition and product quality on the competition between national brands and private labels in the retail food industry. Theoretical and empirical evidence is provided to show that both marketing tools play a significant role, but in quite different ways. Quality improvements by one firm will intensify the competition; one firm will gain at the expense of its competitor. Whereas, increasing brand name recognition relaxes the competition, and both f...
Full Text Available Behavioral studies of spoken word memory have shown that context congruency facilitates both word and source recognition, though the level at which context exerts its influence remains equivocal. We measured event-related potentials (ERPs while participants performed both types of recognition task with words spoken in four voices. Two voice parameters (i.e., gender and accent varied between speakers, with the possibility that none, one or two of these parameters was congruent between study and test. Results indicated that reinstating the study voice at test facilitated both word and source recognition, compared to similar or no context congruency at test. Behavioral effects were paralleled by two ERP modulations. First, in the word recognition test, the left parietal old/new effect showed a positive deflection reflective of context congruency between study and test words. Namely, the same speaker condition provided the most positive deflection of all correctly identified old words. In the source recognition test, a right frontal positivity was found for the same speaker condition compared to the different speaker conditions, regardless of response success. Taken together, the results of this study suggest that the benefit of context congruency is reflected behaviorally and in ERP modulations traditionally associated with recognition memory.
Campeanu, Sandra; Craik, Fergus I M; Alain, Claude
Behavioral studies of spoken word memory have shown that context congruency facilitates both word and source recognition, though the level at which context exerts its influence remains equivocal. We measured event-related potentials (ERPs) while participants performed both types of recognition task with words spoken in four voices. Two voice parameters (i.e., gender and accent) varied between speakers, with the possibility that none, one or two of these parameters was congruent between study and test. Results indicated that reinstating the study voice at test facilitated both word and source recognition, compared to similar or no context congruency at test. Behavioral effects were paralleled by two ERP modulations. First, in the word recognition test, the left parietal old/new effect showed a positive deflection reflective of context congruency between study and test words. Namely, the same speaker condition provided the most positive deflection of all correctly identified old words. In the source recognition test, a right frontal positivity was found for the same speaker condition compared to the different speaker conditions, regardless of response success. Taken together, the results of this study suggest that the benefit of context congruency is reflected behaviorally and in ERP modulations traditionally associated with recognition memory.
McKee, Thomas E
Healthcare organizations are expected to apply the following steps in revenue recognition under the new standard issued in May 2014 by the Financial Accounting Standards Board: Identify the customer contract. Identify the performance obligations in the contract. Determine the transaction price. Allocate the transaction price to the performance obligations in the contract. Recognize revenue when--or in some circumstances, as--the entity satisfies the performance obligation.
@@ An asteroid has been named after CAS astronomy historian XI Zezong with the approval of the International Minor Planet Nomenclature Committee (IMPNC), announced China's National Astronomical Observatories at CAS (NAOC) on 17 August.
Schmadel, Lutz D
Dictionary of Minor Planet Names, Fifth Edition, is the official reference for the field of the IAU, which serves as the internationally recognised authority for assigning designations to celestial bodies and any surface features on them. The accelerating rate of the discovery of minor planets has not only made a new edition of this established compendium necessary but has also significantly altered its scope: this thoroughly revised edition concentrates on the approximately 10,000 minor planets that carry a name. It provides authoritative information about the basis for all names of minor planets. In addition to being of practical value for identification purposes, this collection provides a most interesting historical insight into the work of those astronomers who over two centuries vested their affinities in a rich and colorful variety of ingenious names, from heavenly goddesses to more prosaic constructions. The fifth edition serves as the primary reference, with plans for complementary booklets with newl...
Ward, Kevin; Davenport, Jack
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.
Full Text Available Recent molecular investigations on Eurasian green toads led to the recognition of distinct lineages and to the establishment of new taxa within the former Bufo viridis; as a consequence, significant range-wide nomenclatural changes have been proposed, although some uncertainties remained on the available names applicable within the Italian territory. In order to contribute to clarify the matter, we evaluated, under the provisions of the International Code of Zoological Nomenclature, the nomenclatural availability of all the names that have been applied to infrasubspecific entities of the Bufo viridis subgroup within the Italian territory. We also provided a historical overview of the usage of all these names, as well as detailed information on the original material upon which the variety lineata of A.P. Ninni was established. Our analysis supports the view that only the names crucigera Eichwald, 1831 and balearica Boettger, 1880 are available, the former being however junior synonym of B. viridis Laurenti, 1768, whereas the names acutirostris and obtusirostris of Lessona, lineata of Ninni, concolor and maculata of Camerano, and nardoi of Paolucci, Fuhn and Bruno are all not available.
Andreea Mihaela Marin
Full Text Available Any economic entity operates under probability and risk. In a general acceptation, risk means the validity of the result obtained under pressure of the economic environment; in other words, the risk is the potential damage posed to heritage, interests and affect the entity. In this paper we want to capture, the calculation in terms of the balance sheet analysis of the three risks, which can be measured on the basis of the balance sheet data and indicators, namely: the operational risk, financial risk, and the risk of bankruptcy.
Ball, David W.
Examines the origin of the names (or etymologies) of the chemical elements. Includes tables listing elements: (1) with names of obscure origin; (2) named for colors; (3) named after real or mythical people; (4) named after places; (5) named after heavenly bodies; and (6) having names of miscellaneous origin. (JN)
Full Text Available The judicial enforcement of the right to health in Brazil raises advances and challenges for public policies. This article analyzes two judicial decisions from the 4th Region’s Federal Court in 2014 admitting the concurrent and solidary responsibility of federative entities in the supply of medicines. In both decisions, the appeal was allowed and the idea that federative entities have concurrent competence and solidarity in health was reinforced. On the one hand, a common example of interaction between the law and the health is observed in these decisions; on the other, a production of tensions and contradictions is identified. At first glance, the recognition of the solidary responsibility of federative entities may seem strongly positive from the user’s perspective, and this will lead to having more users going to courts to claim their right to health. However, from a management perspective, it brings challenges as there will be overpayment of some entities of the federation at the expense of others. In this sense, and based on cases, the main rules of competence currently used in health public policies will be presented. Major advances, limits and challenges of recognizing the solidary responsibility of federative entities as well as some “side effects” that some court decisions may bring will also be discussed.
Full Text Available Abstract Background The task of recognizing and identifying species names in biomedical literature has recently been regarded as critical for a number of applications in text and data mining, including gene name recognition, species-specific document retrieval, and semantic enrichment of biomedical articles. Results In this paper we describe an open-source species name recognition and normalization software system, LINNAEUS, and evaluate its performance relative to several automatically generated biomedical corpora, as well as a novel corpus of full-text documents manually annotated for species mentions. LINNAEUS uses a dictionary-based approach (implemented as an efficient deterministic finite-state automaton to identify species names and a set of heuristics to resolve ambiguous mentions. When compared against our manually annotated corpus, LINNAEUS performs with 94% recall and 97% precision at the mention level, and 98% recall and 90% precision at the document level. Our system successfully solves the problem of disambiguating uncertain species mentions, with 97% of all mentions in PubMed Central full-text documents resolved to unambiguous NCBI taxonomy identifiers. Conclusions LINNAEUS is an open source, stand-alone software system capable of recognizing and normalizing species name mentions with speed and accuracy, and can therefore be integrated into a range of bioinformatics and text-mining applications. The software and manually annotated corpus can be downloaded freely at http://linnaeus.sourceforge.net/.
N. H. Shpankovskaya
Full Text Available Social responsibility of a business entity is seen as an effective tool of public administration. The current stage of development of social responsibility in Ukraine requires state involvement, as its vision by business entities are different, and there is also a need to develop a national model of social responsibility on the basis of international standards, because Ukraine, on the one hand, has the national characteristics of implementation of social initiatives and, on the other, the conditions and resources for their implementation is different from developed market economies. The visions of on social responsibility in the scientific literature are also different. This was the basis for the determination of her essence. We analyzed the interpretations of social responsibility and identified their advantages and disadvantages. Formulation of social responsibility, which is submitted in article, actualizes ecological orientation of the business entity taking into account the need for responsible behavior, and responsibility for actions, which violate the norms of society.
Meeuwissen, M.H.W.; Roelofs, A.P.A.; Levelt, W.J.M.
Naming digital clocks (e.g., 2:45, say "quarter to three") requires conceptual operations on the minute and hour information displayed in the input for producing the correct relative time expression. The interplay of these conceptual operations was investigated using a repetition priming paradigm.
Full Text Available There are several benign prostatic pathologies that can clinically mimic a prostate adenocarcinoma. Xanthogranulomatous prostatitis is a benign inflammatory condition of the prostate and a rare entity. A 47-year old male, with 3 years of lower urinary tract symptoms, with a palpable hypogastric tumor, digital rectal examination: solid prostate, of approximately 60 g. Initial PSA was 0.90 ng/mL. He underwent surgical excision of the lower abdominal nodule and prostatectomy. Histopathology showed xanthogranulomatous prostatitis, without malignancy. Xanthogranulomatous prostatitis is an extremely rare entity that can simulate prostate adenocarcinoma, therefore having a correct histopathological diagnosis is essential.
... 17 Commodity and Securities Exchanges 3 2010-04-01 2010-04-01 false Separate Reporting Entity A... Part 420—Separate Reporting Entity Subject to the following conditions, one or more aggregating entity(ies) (e.g., parent, subsidiary, or organizational component) in a reporting entity, either separately...
... 26 Internal Revenue 18 2010-04-01 2010-04-01 false Business entities; definitions. 301.7701-2...) PROCEDURE AND ADMINISTRATION PROCEDURE AND ADMINISTRATION Definitions § 301.7701-2 Business entities; definitions. (a) Business entities. For purposes of this section and § 301.7701-3, a business entity is any...
LaChance, Charles C.; And Others
Examines the impact of the decorative or functionless female models in print advertising and indicates that models facilitate recognition of model/related information but do little to increase the recognition of brand names.
Full Text Available Throughout the study the financial management presented is divided into three directions, namely financial analysis, financial planning and financial strategy, focusing on increasing the quality of financial management conducted at the economic entity by identifying an easier possible use for a system of alternative decisions in order to increase the profitability. The study also aims to identify new meanings of financial accounting information system in performing the managerial act through alternative decisions, trying to highlight the need to create a management tool generator of variants possible to be adopted with an impact on their application in the economic entity as a whole. Based on qualitative research on the financial management act, it is revealed the importance of the financial management act manifested in the economic entity and also its quality improvement through simulations targeting the management through budget system.
Meulen, F.F. van der
The coordination between eye movements and speech was examined while speakers were naming objects. Earlier research has shown that eye movements reflect on the underlying visual attention. Also, eye movements were found to reflect upon not only the visual and conceptual processing of an object, but
Andel, van T.R.
African slaves brought plant knowledge to the New World, sometimes applying it to related plants they found there and sometimes bringing Old World plants with them. By tracing the linguistic parallels between names for plants in African languages and in communities descended from African slaves,
AN ADMIRAL nurse academy named in honour of Bonnie Suchet, the wife of former newsreader John Suchet, has opened. The 'virtual' academy, set up by charity dementia UK, Canterbury Christ Church University and the Avante Partnership, will provide continuing professional development and a networking environment for n nurses through its website. Ms Suchet has Alzheimer's disease and is in a care home.
... under State law for certain business activities. For purposes of this proposed rule, a UBE includes... unincorporated business trusts, organized under State law. This rule does not apply to UBEs that one or more... System institutions to organize entities under State law to engage in business activity. However...
Xanthogranulomatous endometritis is an unusual pathological entity mimicking endometrial carcinoma. This shows sheets of foamy histiocytes alongwith other inflammatory cells. We, hereby, report a case of 45 year multigravida female with irregular menstrual history, clinically diagnosed as carcinoma and ...
... 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 CONTROL, DEPARTMENT OF THE TREASURY GLOBAL TERRORISM SANCTIONS REGULATIONS General Definitions § 594.303...
... in § 46.4(b) applies are the following: (a) Any investment bank, bank holding company, foreign bank... organization primarily engaged in the business of providing financial services or credit, a mutual savings bank... participate in the marketing of securities of a public utility; (c) Any entity which produces or supplies...
...) Eligibility for small business provisions. (1) An entrepreneur is an entity that, together with its... three years. This definition applies only with respect to licenses in Block C (710-716 MHz and 740-746... credits. A winning bidder that qualifies as an entrepreneur, as defined in this section, or a consortium...
Efremova, J.; Ranjbar-Sahraei, B.; Oliehoek, F.A.; Calders, T.; Tuyls, K.
In this paper we study the application of entity resolution (ER) techniques on a real-world multi-source genealogical dataset. Our goal is to identify all persons involved in various notary acts and link them to their birth, marriage and death certificates. In order to evaluate the performance of a
... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Foreign entity. 800.212 Section 800.212 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF... business is outside the United States or its equity securities are primarily traded on one or more foreign...
... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Entity. 598.303 Section 598.303 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS..., organization, network, group, or subgroup, or any form of business collaboration. ...
Ahmed, Naveed; Jensen, Christian D.
In this paper, we propose a new method for the analysis that uses intuition of the analyst in a structured way. First we define entity authentication in terms of fine level authentication goals (FLAGs). Then we use some relevant structures in protocol narrations and use them to justify FLAGs...
Boisen, K A; Main, K M; Rajpert-De Meyts, E
of one common entity, a testicular dysgenesis syndrome (TDS). Experimental and epidemiological studies suggest that TDS is a result of disruption of embryonal programming and gonadal development during fetal life. The recent rise in the prevalence of TDS may be causally linked to endocrine disrupters...
Hendil, Klavs B; Hartmann-Petersen, Rasmus; Tanaka, Keiji
, shuttles between a free state and the 26-S proteasome, bringing substrate to the complex. However, S5a was not found in the free state in HeLa cells. Besides, all subunits in PA700, including S5a, exchanged at similar low rates. It therefore seems that 26-S proteasomes function as stable entities during...
Achten, H.H.; Jessurun, A.J.; Koszewski, K.; Wrona, S.
Architects use graphic conventions in their drawings that have meaningful content to the design task. In previous work, such well-defined sets of graphic entities have been identified and defined. These sets are called graphic units. In this paper, we discuss how graphic unit recognition in drawings
Full Text Available Multimodal signal analysis based on sophisticated sensors, efficient communicationsystems and fast parallel processing methods has a rapidly increasing range of multidisciplinaryapplications. The present paper is devoted to pattern recognition, machine learning, and the analysisof sleep stages in the detection of sleep disorders using polysomnography (PSG data, includingelectroencephalography (EEG, breathing (Flow, and electro-oculogram (EOG signals. The proposedmethod is based on the classification of selected features by a neural network system with sigmoidaland softmax transfer functions using Bayesian methods for the evaluation of the probabilities of theseparate classes. The application is devoted to the analysis of the sleep stages of 184 individualswith different diagnoses, using EEG and further PSG signals. Data analysis points to an averageincrease of the length of the Wake stage by 2.7% per 10 years and a decrease of the length of theRapid Eye Movement (REM stages by 0.8% per 10 years. The mean classification accuracy for givensets of records and single EEG and multimodal features is 88.7% ( standard deviation, STD: 2.1 and89.6% (STD:1.9, respectively. The proposed methods enable the use of adaptive learning processesfor the detection and classification of health disorders based on prior specialist experience andman–machine interaction.
Feldman, Roger; Lobo, Félix
We take on two subjects of controversy among economists-advertising and trademarks-in the context of the market for generic drugs. We outline a model in which trademarks for drug names reduce search costs but increase product differentiation. In this particular framework, trademarks may not benefit consumers. In contrast, the generic names of drugs or "International Nonproprietary Names" (INN) have unquestionable benefits in both economic theory and empirical studies. We offer a second model where advertising of a brand-name drug creates recognition for the generic name. The monopoly patent-holder advertises less than in the absence of a competitive spillover.
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.
Full Text Available The study presents an outline of the effects in private law (including private international law of the non-recognition of a state or a change of territory. Specifically, it addresses the question of what measures can another state take, in the field of private law, in order to give effect to its policy of not recognizing a state or a territorial annexation, and, in parallel, what are the means available to private parties with links to the unrecognized state or territory. The study is structured in two parts, namely 1 the effects in private law of the non-recognition of a state; and 2 the effect in private law of the non-recognition of an annexation of territory. I will make specific references in particular to the situation in Transnistria and Crimea, as examples of the two issues being addressed. The study intends to be a guide of past and present state practice at the legislative and judicial level, as well as presenting the connections between instruments of public international law, such as Sanctions Resolutions of the UN Security Council, and normative instruments of private law, such as rules of civil procedure, which must adapt to the policy of non-recognition adopted by (or imposed on states. The study also presents specific examples of situations or administrative practices which create practical problems, and result from the existence of a non-recognized entity or change of territory: issues like air traffic coordination, postal traffic, the change in the official currency of a territory, questions of citizenship etc., the aim being to present the reader with a full picture of the issues and intricacies resulting from irregularities existing at the level of the international community of states.
Price, C J; McCrory, E; Noppeney, U; Mechelli, A; Moore, C J; Biggio, N; Devlin, J T
This paper uses whole brain functional neuroimaging in neurologically normal participants to explore how reading aloud differs from object naming in terms of neuronal implementation. In the first experiment, we directly compared brain activation during reading aloud and object naming. This revealed greater activation for reading in bilateral premotor, left posterior superior temporal and precuneus regions. In a second experiment, we segregated the object-naming system into object recognition and speech production areas by factorially manipulating the presence or absence of objects (pictures of objects or their meaningless scrambled counterparts) with the presence or absence of speech production (vocal vs. finger press responses). This demonstrated that the areas associated with speech production (object naming and repetitively saying "OK" to meaningless scrambled pictures) corresponded exactly to the areas where responses were higher for reading aloud than object naming in Experiment 1. Collectively the results suggest that, relative to object naming, reading increases the demands on shared speech production processes. At a cognitive level, enhanced activation for reading in speech production areas may reflect the multiple and competing phonological codes that are generated from the sublexical parts of written words. At a neuronal level, it may reflect differences in the speed with which different areas are activated and integrate with one another.
Ljubić Slavoljub C.
Full Text Available The main topic of this work is to represent relatively new method of analyzing, planning and developing various projects in different architectural fields. The concept 'pattern' symbolizes a new view on objects and items that are already exist around us or those that will be created in the future. By explaining this concept, this work focus on describing 'pattern' as a new system or 'pattern language' that identifies foundation and development of unplanned cities. Every town or urban entity symbolizes 'pattern', but it is made from various 'patterns' as well. There are certain rules i.e. patterns that particular urban entities follow in order to establish themselves and 'pattern language' has been developed on that basis. The main purpose of this work is to emphasize this phenomenon and reveal the significance that 'patterns' have in urbanism development. Their understanding is of great importance so they can be implemented not only in theoretical but also in practical examination and analysis.
Sidló, Csaba István
Entity Resolution (ER) covers the problem of identifying distinct representations of real-world entities in heterogeneous databases. We consider the generic formulation of ER problems (GER) with exact outcome. In practice, input data usually resides in relational databases and can grow to huge volumes. Yet, typical solutions described in the literature employ standalone memory resident algorithms. In this paper we utilize facilities of standard, unmodified relational database management systems (RDBMS) to enhance the efficiency of GER algorithms. We study and revise the problem formulation, and propose practical and efficient algorithms optimized for RDBMS external memory processing. We outline a real-world scenario and demonstrate the advantage of algorithms by performing experiments on insurance customer data.
Baroni, Pietro; Fogli, Daniela; Guida, Giovanni
This paper aims at laying down the foundations of a new approach to learning in autonomous mobile robots. It is based on the assumption that robots can be provided with built-in action plans and with mechanisms to modify and improve such plans. This requires that robots are equipped with some form of high-level reasoning capabilities. Therefore, the proposed learning technique is embedded in a novel distributed control architecture featuring an explicit model of robot's cognitive activity. In particular, cognitive activity is obtained by the interaction of active mental entities, such as intentions, persuasions and expectations. Learning capabilities are implemented starting from the interaction of such mental entities. The proposal is illustrated through an example concerning a robot in charge of reaching a target in an unknown environment cluttered with obstacles
Full Text Available Hybrid tumors are very rare tumors composed of two different tumor entities, each of which conforms to an exactly defined tumor category. A 14-year-old boy was referred for an intraosseous painless lesion with a histopathological feature of multiple odontogenic lesions including calcifying odontogenic cyst, complex odontoma and ameloblastic fibro-odontoma. The final diagnosis considered to be a hybrid odontogenic lesion.
... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Brand names. 5.34 Section... Spirits § 5.34 Brand names. (a) Misleading brand names. No label shall contain any brand name, which... officer finds that such brand name (when appropriately qualified if required) conveys no erroneous...
... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Brand names. 7.23 Section... Beverages § 7.23 Brand names. (a) General. The product shall bear a brand name, except that if not sold under a brand name, then the name of the person required to appear on the brand label shall be deemed a...
Korczyn, Amos D
The epidemic proportions of dementia in old age are a cause of great concern for the medical profession and the society at large. It is customary to consider Alzheimer's disease (AD) as the most common cause of dementia, and vascular dementia (VaD) as being the second. This dichotomous view of a primary neurodegenerative disease as opposed to a disorder where extrinsic factors cause brain damage led to separate lines of research in these two entities. New biomarkers, particularly the introduction of modern neuroimaging and cerebrospinal fluid changes, have, in recent years, helped to identify anatomical and chemical changes of VaD and of AD. Nevertheless, there is a substantial difference between the two entities. While it is clear that VaD is a heterogeneous entity, AD is supposed to be a single disorder. Nobody attempts to use CADASIL as a template to develops treatment for sporadic VaD. On the other hand, early-onset AD is used to develop therapy for sporadic AD. This paper will discuss the problems relating to this false concept and its consequences.
Morais, António; Moura, M Conceição Souto; Cruz, M Rosa; Gomes, Isabel
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.
Bojesen, Anders; Muhr, Sara Louise
Accepted Abstract: Most current Human Resource Management discourse stresses coaching, developing and empowering in order to do ‘good' and care for the ‘well-being' of the employees (Steyaert & Janssens, 1999). Legge (1999) symbolizes HRM discourse by the employee being a family member subordinated...... for mankind - in the name of care for the other", and Zizek (2003:23) in a similar matter when he points out that "the ultimate source of evil is compassion itself". Butler (2005) refers to ethical violence when she describes the rigid ethical standards set out to be what Kaulingfreks calls the ‘keeper...
Pitel, Anne-Lise; Chanraud, Sandra; Rohlfing, Torsten; Pfefferbaum, Adolf; Sullivan, Edith V
Associative learning is required for face-name association and is impaired in alcoholism, but the cognitive processes and brain structural components underlying this deficit remain unclear. It is also unknown whether prompting alcoholics to implement a deep level of processing during face-name encoding would enhance performance. Abstinent alcoholics and controls performed a levels-of-processing face-name learning task. Participants indicated whether the face was that of an honest person (deep encoding) or that of a man (shallow encoding). Retrieval was examined using an associative (face-name) recognition task and a single-item (face or name only) recognition task. Participants also underwent 3T structural MRI. Compared with controls, alcoholics had poorer associative and single-item learning and performed at similar levels. Level of processing at encoding had little effect on recognition performance but affected reaction time (RT). Correlations with brain volumes were generally modest and based primarily on RT in alcoholics, where the deeper the processing at encoding, the more restricted the correlations with brain volumes. In alcoholics, longer control task RTs correlated modestly with smaller tissue volumes across several anterior to posterior brain regions; shallow encoding correlated with calcarine and striatal volumes; deep encoding correlated with precuneus and parietal volumes; and associative recognition RT correlated with cerebellar volumes. In controls, poorer associative recognition with deep encoding correlated significantly with smaller volumes of frontal and striatal structures. Despite prompting, alcoholics did not take advantage of encoding memoranda at a deep level to enhance face-name recognition accuracy. Nonetheless, conditions of deeper encoding resulted in faster RTs and more specific relations with regional brain volumes than did shallow encoding. The normal relation between associative recognition and corticostriatal volumes was not
Sidera, Francesc; Amadó, Anna; Martínez, Laura
This exploratory research is aimed at studying facial emotion recognition abilities in deaf children and how they relate to linguistic skills and the characteristics of deafness. A total of 166 participants (75 deaf) aged 3-8 years were administered the following tasks: facial emotion recognition, naming vocabulary and cognitive ability. The…
Liu, Chang Hong; Bhuiyan, Md. Al-Amin; Ward, James; Sui, Jie
The relationship between pose and illumination learning in face recognition was examined in a yes-no recognition paradigm. The authors assessed whether pose training can transfer to a new illumination or vice versa. Results show that an extensive level of pose training through a face-name association task was able to generalize to a new…
Huang, Lifu; May, Jonathan; Pan, Xiaoman; Ji, Heng; Ren, Xiang; Han, Jiawei; Zhao, Lin; Hendler, James A
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.
impact on system performance. Index Terms: NIST evaluation, NIST SRE, speaker detection, speaker recognition, speaker verification 1. Introduction NIST... self -reported. Second, there were two training conditions in SRE16, namely fixed and open. In the fixed training condition, par- ticipants were only
... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Brand names. 4.33 Section... THE TREASURY LIQUORS LABELING AND ADVERTISING OF WINE Labeling Requirements for Wine § 4.33 Brand names. (a) General. The product shall bear a brand name, except that if not sold under a brand name...
Bloothooft, G.; Schraagen, M.P.
Modern parents in The Netherlands choose the first names they like for their children. In this decision most follow fashion and as a typical property of fashion, many popular names now have a life cycle of only one generation. Some names show a symmetry between rise and fall of the name, but most
Yochum, T.R.; Hartley, B.; Thomas, D.P.; Guebert, G.M.
A total of 88 such named vertebrae have been extracted from the literature. With so many names from scattered sources, the authors collated them in a single presentation. A description is given and the anatomical and pathogenic reasons for the appearances are considered. A list of conditions associated with each named vertebra accompanies the descriptive paragraph. The named vertebrae are presented in alphabetical order
Gutherie, Audrey H; Seely, Peter W; Beacham, Lauren A; Schuchard, Ronald A; De l'Aune, William A; Moore, Anna Bacon
The impact of age-related changes in visual-perceptual processing on naming ability has not been reported. The present study investigated the effects of 6 levels of spatial frequency and 6 levels of contrast on accuracy and latency to name objects in 14 young and 13 older neurologically normal adults with intact lexical-semantic functioning. Spatial frequency and contrast manipulations were made independently. Consistent with the hypotheses, variations in these two visual parameters impact naming ability in young and older subjects differently. The results from the spatial frequency-manipulations revealed that, in general, young vs. older subjects are faster and more accurate to name. However, this age-related difference is dependent on the spatial frequency on the image; differences were only seen for images presented at low (e.g., 0.25-1 c/deg) or high (e.g., 8-16 c/deg) spatial frequencies. Contrary to predictions, the results from the contrast manipulations revealed that overall older vs. young adults are more accurate to name. Again, however, differences were only seen for images presented at the lower levels of contrast (i.e., 1.25%). Both age groups had shorter latencies on the second exposure of the contrast-manipulated images, but this possible advantage of exposure was not seen for spatial frequency. Category analyses conducted on the data from this study indicate that older vs. young adults exhibit a stronger nonliving-object advantage for naming spatial frequency-manipulated images. Moreover, the findings suggest that bottom-up visual-perceptual variables integrate with top-down category information in different ways. Potential implications on the aging and naming (and recognition) literature are discussed.
Izaute, Marie; Chambres, Patrick; Larochelle, Serge
The main objective of the presented study was to study feeling-of-knowing (FOK) in proper name retrieval. Many studies show that FOK can predict performance on a subsequent criterion test. Although feeling-of-knowing studies involve questions about proper names, none make this distinction between proper names and common names. Nevertheless, the specific character of proper names as a unique label referring to a person should allow participants to target precisely the desired verbal label. Our idea here was that the unique character of proper name information should result in more accurate FOK evaluations. In the experiment, participants evaluated feeling-of-knowing for proper and common name descriptions. The study demonstrates that FOK judgments are more accurate for proper names than for common names. The implications of the findings for proper names are briefly discussed in terms of feeling-of-knowing hypotheses.
Haran, Michal; Schattner, Ami; Kozak, Natasha; Mate, Andras; Berrebi, Alain; Shvidel, Lev
Myopathy in patients being treated with corticosteroids is known primarily among chronically-treated patients or in critically ill and mechanically-ventilated patients receiving corticosteroids, often in high doses. To highlight the entity of acute, early-onset corticosteroid-treatment-associated myopathy and its characteristics. Reporting our experience with four patients and reviewing all published reports of myopathy developing ≤14 days of initiating corticosteroid-treatment. Acute corticosteroid myopathy (ASM) exists, though the syndrome appears to be rare. It is characterized by unpredictability and heterogeneity, sometimes developing within 1-3 days, after a single dose, which may not be high and administered by varied routes. Proximal limb muscle weakness is the most common form, but distal limb, bulbar and respiratory muscles may be involved. Steroid cessation often leads to improvement/resolution, but irreversibility may occur. A high index of suspicion for the possibility of ASM is necessary, to ensure drug discontinuation and recovery. This is particularly true since the entity is not widely recognized and its symptoms are often erroneously interpreted as due to the patient's underlying disease.
Li, Haodi; Chen, Qingcai; Tang, Buzhou; Wang, Xiaolong; Xu, Hua; Wang, Baohua; Huang, Dong
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.
Full Text Available Fair value accounting of biological assets in the public sector was introduced with the adoption of the public-sector-specific accounting standard: Generally Recognised Accounting Practice (GRAP 101. The public sector currently reports on various bases of accounting. Public entities and municipalities report in terms of accrual accounting, and government departments report on the modified cash basis. The lack of a uniform basis of accounting impedes the comparability of financial information. The implementation of GRAP 101 in the public sector is important in facilitating comparability of financial information regarding biological assets. This paper is based on a content analysis of the annual reports of 10 relevant public entities in South Africa and specifically details the challenges that public entities encounter with the application of GRAP 101. These challenges, and how they were addressed by a public entity that adopted and applied GRAP 101, namely the Accelerated and Shared Growth Initiative South Africa – Eastern Cape (AsgiSA-EC, are documented in this research.
Full Text Available This paper proposes a novel approach to decompose two-person interaction into a Positive Action and a Negative Action for more efficient behavior recognition. A Positive Action plays the decisive role in a two-person exchange. Thus, interaction recognition can be simplified to Positive Action-based recognition, focusing on an action representation of just one person. Recently, a new depth sensor has become widely available, the Microsoft Kinect camera, which provides RGB-D data with 3D spatial information for quantitative analysis. However, there are few publicly accessible test datasets using this camera, to assess two-person interaction recognition approaches. Therefore, we created a new dataset with six types of complex human interactions (i.e., named K3HI, including kicking, pointing, punching, pushing, exchanging an object, and shaking hands. Three types of features were extracted for each Positive Action: joint, plane, and velocity features. We used continuous Hidden Markov Models (HMMs to evaluate the Positive Action-based interaction recognition method and the traditional two-person interaction recognition approach with our test dataset. Experimental results showed that the proposed recognition technique is more accurate than the traditional method, shortens the sample training time, and therefore achieves comprehensive superiority.
Roč. 26, č. 53 (2016), s. 93-101 ISSN 0862-8440 Institutional support: RVO:67985955 Keywords : fictional names * fictional entities * fictional discourse * abstract entities * pretense Subject RIV: AA - Philosophy ; Religion http://hdl.handle.net/11104/0259936
Angelo Vitório Cenci
Full Text Available This paper addresses Honneth’s concept of autonomy from two dimensions of his work, distinct, though inseparable. The first one is suggested through the subject’s positive practical self-relation linked to the patterns of reciprocal recognition of love, right and social esteem; the second is formulated as non-centered autonomy opposed to the present-day criticism of the modern autonomous subject encompassing three levels, namely: the capacity of linguistic articulation, the narrative coherence of life and the complementation of being guided by principles with some criteria of moral sensitivity to the context. We defend the position that, by metaphysically anchoring the concept of autonomy onto the intersubjective assumptions of his/her theory of the subject, and exploring it linked to the subject’s positive practical self-relation and to a non-centered meaning, Honneth has managed to renew it, which allows drawing important consequences of such effort to the field of education.
Jain, Anil K
This report describes research efforts towards developing algorithms for a robust face recognition system to overcome many of the limitations found in existing two-dimensional facial recognition systems...
Full Text Available Abstract Background A scientific name for an organism can be associated with almost all biological data. Name identification is an important step in many text mining tasks aiming to extract useful information from biological, biomedical and biodiversity text sources. A scientific name acts as an important metadata element to link biological information. Results We present NetiNeti (Name Extraction from Textual Information-Name Extraction for Taxonomic Indexing, a machine learning based approach for recognition of scientific names including the discovery of new species names from text that will also handle misspellings, OCR errors and other variations in names. The system generates candidate names using rules for scientific names and applies probabilistic machine learning methods to classify names based on structural features of candidate names and features derived from their contexts. NetiNeti can also disambiguate scientific names from other names using the contextual information. We evaluated NetiNeti on legacy biodiversity texts and biomedical literature (MEDLINE. NetiNeti performs better (precision = 98.9% and recall = 70.5% compared to a popular dictionary based approach (precision = 97.5% and recall = 54.3% on a 600-page biodiversity book that was manually marked by an annotator. On a small set of PubMed Central’s full text articles annotated with scientific names, the precision and recall values are 98.5% and 96.2% respectively. NetiNeti found more than 190,000 unique binomial and trinomial names in more than 1,880,000 PubMed records when used on the full MEDLINE database. NetiNeti also successfully identifies almost all of the new species names mentioned within web pages. Conclusions We present NetiNeti, a machine learning based approach for identification and discovery of scientific names. The system implementing the approach can be accessed at http://namefinding.ubio.org.
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 . 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
K.C. , Santosh; Wendling , Laurent
International audience; The chapter focuses on one of the key issues in document image processing i.e., graphical symbol recognition. Graphical symbol recognition is a sub-field of a larger research domain: pattern recognition. The chapter covers several approaches (i.e., statistical, structural and syntactic) and specially designed symbol recognition techniques inspired by real-world industrial problems. It, in general, contains research problems, state-of-the-art methods that convey basic s...
Full Text Available Being given a name and giving a name are the most basic features of human being. He gives a name to himself as well as other entities in the universe he lives; recognizes them with names and provides introduction; establishes a relationship with them over the names. Everything manifesting itself to human consciousness in the universe and having a relationship with people have a name. From this perspective, giving a name is a problem with language and the origin of language. Asking the origin of names is to ask the origin of language; asking the relationship between names with regard to objects is to ask the relationship between language and reality and increasingly truth. The first work on names hence the philosophy of language was of Plato. Cratylus dialogue among his age of maturity dialogues where he developed his idealistic philosophy was the first work on names and hence the philosophy of language. In this dialogue, two points of view face each other. One of them is conventionalist approach of Hermogenes and the other is naturalist approach of Cratylus. In this frame, the answer will be sought to the following questions: In Tales of Dede Korkut, (1 What is the function of names? (2 How many correct names does a thing/object have? (3 What kind of relationship can be achieved between objects and names? (4 Who gives the names?
Irina A. Kyurshunova
Full Text Available The article focuses on calendar personal names recorded in the 15–17th centuries Russian and Swedish manuscripts written in Karelia. Revealing the cognitive potential of this historical stratum of names, the author analyzes the frequency of full (official and modified forms of calendar names, the regional peculiarities of their linguistic adaptation, their ethnolinguisitic and social status, as well as the functioning of calendar names in the regional onomastic system. The analysis shows that the calendar onomasticon holds the leading positions, which reflects important axiological and mental shifts in the people’s culture. The list of most frequent Christian names of the region generally coincides with the onomastic data related to other Russian territories of the same period. The conservation of the name nomenclature is due to family traditions, namely, to familial practices of naming. However, the adaptation and distribution of names display some regional features, particularly in the frequency of different groups of anthroponyms. The peripheral situation of the region and the presence of Balto-Fennic population which adapted the Russian calendar athroponymicon determined the “conservatism” of the calendar names nomenclature: for naming, they selected the names which were better adapted and more extensively used among Russians. The formation of modified names depended mostly on the morphemic structure of the Russian language, regional features being relatively insignificant. The frequency of modified forms of names correlates with the genre of the manuscript and the scribe’s arbitrariness.
Cordoba, A.; Tomorrow, G.; Saralegui, P.; Hernandez, P.; Lezue, B.
The first case of this new entity is presented and accepted within the new SNC (Central nervous system) classification of OMS in 2000. This is about a patient with 52 years old with 9 month of evolution history who presents signs of weight loss and is hospitalized with HEC progressive elements, hydrocephalusand installled coma. The Computerized Axial Tomography reveals expansive process in the posterior fossa hemispheric and cerebellopontine angle 4x5 cms inhomogeneous with bleeding elements and lipid content areas. Is arises the probability of Epidermoid cyst. The surgery is carried out with complete excision of the encapsulated aspiratable lesion. Good postoperative course without gaps. The histopathology revealed typical elements described in the literature: presence of adipose cells and neurocytic proliferation with small elements.This led that the tumor received among others the adult lipomeduloblastoma name but showing a good prognosis in contrast with the classic medulloblastoma. Currently cataloged such as grade II and there are not statistics in the literature because there are only published isolated cases
Barbosa, Frederico Paes; Mendonca, Sandro Bichara; Souza, Thiago Ferreira de
Struma ovarii (SO) malignant is a rare ovarian teratoid tumor, consisting predominantly of thyroid tissue. It has low incidence and a few cases described by the literature. Usually appears in the 4th or 5th decade of life. Generally they are diagnosed after surgery, being the diagnostic reserved for the lesions on the ectopic thyroid tissue based on cellular atypia, mitotic activity, capsular invasion and metastases. Due to its rarity,it does not still have a consensus about the best therapeutical management and protocol of accompaniment for patients with this neoplastic entity. This article reports a case of a patient with malignant S O, reviewing the relevant aspects of the literature. (author)
Affirul, C A; Qisti, F N; Zamri, Z; Azlanuddin, A; Hairol, A O; Razman, J
Solid pseudo papillary pancreatic tumour is a rare entity. The atypical presentation causes a delayed or misdiagnosis of these pathology. It commonly affects the female population in the 2nd and 3rd decade of life. The presentation varies from non-specific abdominal pain to incidental findings in asymptomatic patients. It is a low-grade premalignant condition that is curable by excision of the tumour. This paper presents a 17-year-old girl with intra-abdominal mass diagnosed with solid pseudo papillary tumour that underwent Whipple's procedure. We discuss the presentations, diagnosis and pathology findings of this rare pathology. The diagnosis remains an enigma in view of the nature and location of the tumour. Resection is still the best choice remains for this condition. Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.
Data, Databases, and the Software Engineering ProcessDataBuilding a DatabaseWhat is the Software Engineering Process?Entity Relationship Diagrams and the Software Engineering Life Cycle Phase 1: Get the Requirements for the Database Phase 2: Specify the Database Phase 3: Design the DatabaseData and Data ModelsFiles, Records, and Data ItemsMoving from 3 × 5 Cards to ComputersDatabase Models The Hierarchical ModelThe Network ModelThe Relational ModelThe Relational Model and Functional DependenciesFundamental Relational DatabaseRelational Database and SetsFunctional
Patil, Shankargouda; Warnakulasuriya, Saman; Raj, Thirumal; Sanketh, D S; Rao, Roopa S
Exophytic oral verrucous hyperplasia (OVH) is a new entity described by an expert working group from South Asia. First reported in Taiwan, there are no reports so far from an Indian population. The aim was to use the microscopic features described by the expert group to differentiate OVH from other oral verruco-papillary lesions in an Indian archive. In a retrospective multicentre study, using pathology archives, 188 verruco-papillary lesions were retrieved from pathology archives. A proforma listing histopathological criteria for OVH based on published guidelines (Annals of Dentistry, University of Malaya, 2013) was used. Patients' demographic and clinical data were transcribed from patient charts. The Pearson chi-square test was used to determine associations between clinical and histopathological features. Of 188 oral verruco-papillary lesions that were evaluated, based on microscopic features the cases were reclassified as OVH (57), verrucous carcinoma (VC) (84), oral squamous cell carcinoma (16), and other verruco-papillary lesions (31). Both OVH (70%) and VC (60%) showed male predominance and commonly affected buccal mucosa (OVH 74% and VC 57%). Absence of downward growth of the hyperplastic epithelium into lamina propria when compared with the level of the basement membrane of the adjacent normal epithelium was a distinct feature in OVH. Keratin plugging, epithelial dysplasia and subepithelial lymphocytic infiltration were found to be significantly different (P < 0.05) in OVH versus VC. The sample size of other verruco-papillary lesions was insufficient for statistical comparison. Apart from the absence of an endophytic growth pattern in OVH, we noted the presence of dysplasia in OVH. This significant observation does institute a debate as to whether this enigmatic lesion could possibly be a precedent of oral squamous or verrucous carcinoma. We propose OVH is a distinct entity in our Indian population and should be considered in the classification of oral
Recognition and toleration are ways of relating to the diversity characteristic of multicultural societies. The article concerns the possible meanings of toleration and recognition, and the conflict that is often claimed to exist between these two approaches to diversity. Different forms...... or interpretations of recognition and toleration are considered, confusing and problematic uses of the terms are noted, and the compatibility of toleration and recognition is discussed. The article argues that there is a range of legitimate and importantly different conceptions of both toleration and recognition...
Full Text Available As Radu said (2009, pag. 91  logical approach developed by accounting, presentation of an exact image of the heritage, the financial situation and financial results, based on a rational thought, a gradual knowledge domain investigated, concepts, tools and processes that allow a better understanding of the essence of economic phenomena and processes. Theoretical framework brings together a number of concepts that are considered fundamental to regulatory or accounting systems applied at the level of the entity to have clearly specified the coordinates of the base and are able to achieve cohesion between the objective of financial statements as true and fair view, financial information and policy characteristics and estimation techniques as a form of expression towards the recognition and presentation of economic reality. The author considers, in the context of the defined system applied within the accounting entities in general, that principles, presents not only a crucial premise, as well as needed necessity in order to show an exact image of the performance and financial position of the entity.
Feb 27, 2013 ... experiences which, most of the times, encompass cultural and philosophical ... The art of name clipping goes way back in language history ... describes Akan names as “iconic representation of complete social variables that ...
unintelligible and devoid of information even to the intelligent, educated non-expert. Classifications have functions. A major one must be communication; i.e., a name for a mare basalt provides a common understanding of what the basalt is. For the small number of suites currently available, the present labels (though inefficient and insufficient) may work; with continued recognition of more basalts, Antarctic meteorite samples, orbiter data, sample returns, and lunar base studies, labels will become increasingly inefficient. Clementine and Prospector data have made mapping of mare basalts a much more visible activity than it was, and increasingly common ground among sample petrologists and remote sensers has emerged. To establish a usable classification, there must be some criteria for relationships. Petrologists need to decide what the most significant characters are, and how these can be translated into a classification. The common distinction on the basis of Ti (the major element with the greatest variation) may or may not be appropriate. It remains to be established whether the use of Ti is of fundamental value both in relating basalts to each other and in communication, or merely an historical accident or response to its variance. Additional information contained in original
Full Text Available Tortious acts of legal entities have unforeseen harmful consequences in all areas. In the greedy desire to gain profit, certain legal entities do not have any regard for the most important resources of individuals and society. Damage resulting from the commission of criminal acts is very high for the whole society, especially when it comes to crimes against the environment. In order to prevent and combat corporate crime in criminal law, an increasingly wider acceptance of criminal liability of legal entities was adopted. This paper discusses the basic characteristics of corporate crime, as well as the reasons for the introduction of the criminal responsibility of legal entities. In this regard, we analyzed the law provisions regarding the liability of legal entities for criminal offenses, and concluded that despite the criminal-political need to react with more serious sanctions to the offenses of legal entities, there are certain obstacles and problems that stand in the way of introducing this responsibility.
Lou, Yang; Chen, Guanrong
Naming game simulates the process of naming an objective by a population of agents organized in a certain communication network topology. By pair-wise iterative interactions, the population reaches a consensus state asymptotically. In this paper, we study naming game with communication errors during pair-wise conversations, where errors are represented by error rates in a uniform probability distribution. First, a model of naming game with learning errors in communications (NGLE) is proposed....
classes, depending on the categories they belong to. A music album could have any generic name, whereas a laptop model has a more generalizable name. A...names of music albums are simply plain text often capitalized, and so on. Thus, we feel that a better ap- proach would be to first identify the...origin domain of the text to be tagged (e.g., pharmaceutical, music , journal, etc.), and then apply tagging rules that are specific to that domain
... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Trade names. 19.165 Section 19.165 Alcohol, Tobacco Products and Firearms ALCOHOL AND TOBACCO TAX AND TRADE BUREAU, DEPARTMENT... Trade names. (a) Operating permits. Where a trade name is to be used in connection with the operations...
Oort, van E.D.
The note on the generic name of the Snow-bunting by Dr. E. Hartert in this part of our periodical gives me cause to revert to the subject of my note on the generic name Passerina Vieillot and to state here, that I stand to what I have said about the rejection of this name in Zoology (Notes Leyden
Castro Ferreira, Thiago; Wubben, Sander; Krahmer, Emiel
We introduce a corpus for the study of proper name generation. The corpus consists of proper name references to people in webpages, extracted from the Wikilinks corpus. In our analyses, we aim to identify the different ways, in terms of length and form, in which a proper names are produced
Balog, K.; Azzopardi, L.; de Rijke, M.; King, I.; Baeza-Yates, R.
Disambiguating person names in a set of documents (such as a set of web pages returned in response to a person name) is a key task for the presentation of results and the automatic profiling of experts. With largely unstructured documents and an unknown number of people with the same name the
Festini, Sara B; Hartley, Alan A; Tauber, Sarah K; Rhodes, Matthew G
Names are more difficult to remember than other personal information such as occupations. The current research examined the influence of assigned point value on memory and metamemory judgements for names and occupations to determine whether incentive can improve recall of proper names. In Experiment 1 participants studied face-name and face-occupation pairs assigned 1 or 10 points, made judgements of learning, and were given a cued recall test. High-value names were recalled more often than low-value names. However, recall of occupations was not influenced by value. In Experiment 2 meaningless nonwords were used for both names and occupations. The name difficulty disappeared, and value influenced recall of both names and occupations. Thus value similarly influenced names and occupations when meaningfulness was held constant. In Experiment 3 participants were required to use overt rote rehearsal for all items. Value did not boost recall of high-value names, suggesting that differential processing could not be implemented to improve memory. Thus incentives may improve memory for proper names by motivating people to engage in selective rehearsal and effortful elaborative processing.
Full Text Available There are numerous researches on color terms and names in many languages. In Mongolian language there are few doctoral theses on color naming. Cross cultural studies of color naming have demonstrated Semantic relevance in French and Mongolian color name Gerlee Sh. (2000; Comparisons of color naming across English and Mongolian Uranchimeg B. (2004; Semantic comparison between Russian and Mongolian idioms Enhdelger O. (1996; across symbolism Dulam S. (2007 and few others. Also a few articles on color naming by some Mongolian scholars are Tsevel, Ya. (1947, Baldan, L. (1979, Bazarragchaa, M. (1997 and others. Color naming studies are not sufficiently studied in Modern Mongolian. Our research is considered to be the first intended research on color naming in Modern Mongolian, because it is one part of Ph.D dissertation on color naming. There are two color naming categories in Mongolian, basic color terms and non- basic color terms. There are seven basic color terms in Mongolian. This paper aims to consider how Mongolian color names are derived from basic colors by using psycholinguistics associative experiment. It maintains the students and researchers to acquire the specific understanding of the differences and similarities of color naming in Mongolian and English languages from the psycho-linguistic aspect.
Schovsbo, Jens Hemmingsen
. the UDRP (WIPO) and the Danish Complaints Board for Internet Domain Names (the Board) to discuss how and to what extent the domain name system balances interests between trademark owners and other users of domain names and secures the rule of law (legal certainty and predictability) with a special focus...
...; requests for recognition; withdrawal of recognition; accreditation of representatives; roster. 1292.2...; requests for recognition; withdrawal of recognition; accreditation of representatives; roster. (a) Qualifications of organizations. A non-profit religious, charitable, social service, or similar organization...
A central problem in data integration and data cleansing is to identify pairs of entities in data sets that describe the same real-world object. Many existing methods for matching entities rely on explicit linkage rules, which specify how two entities are compared for equivalence. Unfortunately, writing accurate linkage rules by hand is a non-trivial problem that requires detailed knowledge of the involved data sets. Another important issue is the efficient execution of link...
Full Text Available Their social nature encourages people to associate and jointly achieve the goals that they would not be able to achieve individually. Legal entities are created as one of the legal modalities of that association, as separate entities that have their own legal personality independent of the subjectivity of their members. Legal entities are holders of some human rights, depending on the nature of the right, including the right to non-discrimination. All mechanisms envisaged for legal protection against discrimination in the national legislation are available to legal persons. On the other hand, the situation is quite different in terms of access to international forums competent to deal with cases of discrimination. Legal entities do not have access to some international forums, while they may have access to others under the same conditions prescribed for natural persons. Legal entities may be exposed to various forms of direct and indirect discrimination both in the private and in the public sphere of social relations. Phenomenological characteristics of discrimination against legal persons are not substantially different from discrimination against individuals. There are no significant differences regarding the application of discrimination test in cases of discrimination of legal entities as compared to the use of this test in cases involving discrimination of natural persons or groups of persons. Legal entities may be discriminated against on the basis of characteristics of their legal personality, such as those which are objective elements of the legal entity and part of its legal identity. Discrimination of legal entities may be based on personal characteristics of its members (i.e. people who make a personal essence of a legal entity because their characteristics can be 'transferred' to the legal entity and become part of its identity. Legal entities should also be protected from this special form of transferred (associative discrimination.
If you are a C#, VB.NET, or C++ developer and want to get started with WCF and Entity Framework, then this book is for you. Competence in Entity Framework will be needed to follow the examples in the book, but experience in creating WCF services using Entity Framework is not necessary. Developers and architects evaluating SOA implementation technologies for their company will find this book useful.
Full Text Available We investigated the extent to which the human capacity for recognition helps to forecast political elections: We compared naive recognition-based election forecasts computed from convenience samples of citizens' recognition of party names to (i standard polling forecasts computed from representative samples of citizens' voting intentions, and to (ii simple---and typically very accurate---wisdom-of-crowds-forecasts computed from the same convenience samples of citizens' aggregated hunches about election results. Results from four major German elections show that mere recognition of party names forecast the parties' electoral success fairly well. Recognition-based forecasts were most competitive with the other models when forecasting the smaller parties' success and for small sample sizes. However, wisdom-of-crowds-forecasts outperformed recognition-based forecasts in most cases. It seems that wisdom-of-crowds-forecasts are able to draw on the benefits of recognition while at the same time avoiding its downsides, such as lack of discrimination among very famous parties or recognition caused by factors unrelated to electoral success. Yet it seems that a simple extension of the recognition-based forecasts---asking people what proportion of the population would recognize a party instead of whether they themselves recognize it---is also able to eliminate these downsides.
General Services Administration — This dataset contains the information available under the Freedom of Information Act (FOIA) for those entities registered to do business with the Federal government...
We investigate a largely unsupervised approach to learning interpretable, domain-specific entity types from unlabeled text. It assumes that any common noun in a domain can function as potential entity type, and uses those nouns as hidden variables in a HMM. To constrain training, it extracts co......-occurrence dictionaries of entities and common nouns from the data. We evaluate the learned types by measuring their prediction accuracy for verb arguments in several domains. The results suggest that it is possible to learn domain-specific entity types from unlabeled data. We show significant improvements over...
Yu, Francis T. S.; Jutamulia, Suganda
Contributors; Preface; 1. Pattern recognition with optics Francis T. S. Yu and Don A. Gregory; 2. Hybrid neural networks for nonlinear pattern recognition Taiwei Lu; 3. Wavelets, optics, and pattern recognition Yao Li and Yunglong Sheng; 4. Applications of the fractional Fourier transform to optical pattern recognition David Mendlovic, Zeev Zalesky and Haldum M. Oxaktas; 5. Optical implementation of mathematical morphology Tien-Hsin Chao; 6. Nonlinear optical correlators with improved discrimination capability for object location and recognition Leonid P. Yaroslavsky; 7. Distortion-invariant quadratic filters Gregory Gheen; 8. Composite filter synthesis as applied to pattern recognition Shizhou Yin and Guowen Lu; 9. Iterative procedures in electro-optical pattern recognition Joseph Shamir; 10. Optoelectronic hybrid system for three-dimensional object pattern recognition Guoguang Mu, Mingzhe Lu and Ying Sun; 11. Applications of photrefractive devices in optical pattern recognition Ziangyang Yang; 12. Optical pattern recognition with microlasers Eung-Gi Paek; 13. Optical properties and applications of bacteriorhodopsin Q. Wang Song and Yu-He Zhang; 14. Liquid-crystal spatial light modulators Aris Tanone and Suganda Jutamulia; 15. Representations of fully complex functions on real-time spatial light modulators Robert W. Cohn and Laurence G. Hassbrook; Index.
Full Text Available Toponyms localize, reflect and give information about historical traditions and various phenomena in an area. They form part of the local heritage and culture. The relationship between place names, heritage and identity is often underlined in guidelines regarding official naming of streets and roads. In what way is heritage and local identity reflected in the road names of the three municipalities Hå, Klepp and Time (Southwest-Norway, and how is the special character of this area expressed in the names? More than half of the official road names in the three municipalities are either identical with a local toponym, or they consist of a word for ‘road’ and a local toponym (or an appellative describing the location. This shows that there is a strong commitment to base the official naming on local tradition and thus contribute to identity. Quite a few elements from the dialect, e.g. special pronunciation, grammatical forms or local words, appear in the names, especially in the road names from Hå, reflecting that the names are part of the local culture, and due to the fact that the dialect is unique. Consistency is a challenge, however; the same word is sometimes spelled in different ways in different names. It appears that, with some exceptions, cultural heritage and local tradition have been preferred principles and guidelines with regard to naming of roads in the three municipalities, due to a consciousness that heritage and tradition create identity.
Bakken Jepsen, Julie
in spoken languages, where a person working as a blacksmith by his friends might be referred to as ‘The Blacksmith’ (‘Here comes the Blacksmith!’) instead of using the person’s first name. Name signs are found not only in Danish Sign Language (DSL) but in most, if not all, sign languages studied to date....... This article provides examples of the creativity of the users of Danish Sign Language, including some of the processes in the use of metaphors, visual motivation and influence from Danish when name signs are created.......A name sign is a personal sign assigned to deaf, hearing impaired and hearing persons who enter the deaf community. The mouth action accompanying the sign reproduces all or part of the formal first name that the person has received by baptism or naming. Name signs can be compared to nicknames...
Full Text Available The problems of determining the direct object of crime under article 173.2 of the RF Criminal Code are investigated. It’s noted that the article contains two independent corpus delicti. The characteristic that unites them is the direct object of crime, which is broken in two ways: by person providing the relevant documents and by person receiving these documents and information. Scientific points of view concerning the understanding of crime object are estimated. Understanding the object as a legal order of carrying out business activities doesn’t allow to outline the scope of the corresponding relations. Many crimes under chapter 22 of the RF Criminal Code impinge these relations. The author disagrees with the recognition of public relations, ensuring the use of necessary documents for registration of only those organizations that are engaged in lawful activities, as direct object of unlawful use of documents to form (establish, reorganize a legal entity. It’s emphasized that documents submission to the registering authority for registration of legal entities and individual entrepreneurs can be carried out by the applicant or his representative acting on the basis of a notarized power of attorney. The fact of forming legal entity should be connected with certain individuals. Then the organization will have certain responsible persons. The act provided by the analyzed corpus delicti, contributes to this rule violation. It’s summarized that the direct object of crime under considered article is public relations arising due to ensuring the statutory procedure for personalization and identification of responsible individual forming (establishing, reorganizing a legal entity.
Schoch, C.L.; Robbertse, B.; Robert, V.; Vu, D.; Cardinali, G.; Irinyi, L.; Meyer, W.; Nilsson, R.H.; Hughes, K.; Miller, A.N.; Kirk, P.M.; Abarenkov, K.; Aime, M.C.; Ariyawansa, H.A.; Bidartondo, M.; Boekhout, T.; Buyck, B.; Cai, Q.; Chen, J.; Crespo, A.; Crous, P.W.; Damm, U.; Beer, de Z.W.; Dentinger, B.T.M.; Divakar, P.K.; Duenas, M.; Feau, N.; Fliegerova, K.; Garcia, M.A.; Ge, Z.W.; Griffith, G.W.; Groenewald, J.Z.; Groenewald, M.; Grube, M.; Gryzenhout, M.; Gueidan, C.; Guo, L.; Hambleton, S.; Hamelin, R.; Hansen, K.; Hofstetter, V.; Hong, S.B.; Houbraken, J.; Hyde, K.D.; Inderbitzin, P.; Johnston, P.A.; Karunarathna, S.C.; Koljalg, U.; Kovacs, G.M.; Kraichak, E.; Krizsan, K.; Kurtzman, C.P.; Larsson, K.H.; Leavitt, S.; Letcher, P.M.; Liimatainen, K.; Liu, J.K.; Lodge, D.J.; Luangsa-ard, J.J.; Lumbsch, H.T.; Maharachchikumbura, S.S.N.; Manamgoda, D.; Martin, M.P.; Minnis, A.M.; Moncalvo, J.M.; Mule, G.; Nakasone, K.K.; Niskanen, T.; Olariaga, I.; Papp, T.; Petkovits, T.; Pino-Bodas, R.; Powell, M.J.; Raja, H.A.; Redecker, D.; Sarmiento-Ramirez, J.M.; Seifert, K.A.; Shrestha, B.; Stenroos, S.; Stielow, B.; Suh, S.O.; Tanaka, K.; Tedersoo, L.; Telleria, M.T.; Udayanga, D.; Untereiner, W.A.; Dieguez Uribeondo, J.; Subbarao, K.V.; Vagvolgyi, C.; Visagie, C.; Voigt, K.; Walker, D.M.; Weir, B.S.; Weiss, M.; Wijayawardene, N.N.; Wingfield, M.J.; Xu, J.P.; Yang, Z.L.; Zhang, N.; Zhuang, W.Y.; Federhen, S.
DNA phylogenetic comparisons have shown that morphology-based species recognition often underestimates fungal diversity. Therefore, the need for accurate DNA sequence data, tied to both correct taxonomic names and clearly annotated specimen data, has never been greater. Furthermore, the growing
Bonin, Patrick; Roux, Sebastien; Barry, Christopher; Canell, Laura
We address the issue of how information flows within the written word production system by examining written object-naming latencies. We report 4 experiments in which we manipulate variables assumed to have their primary impact at the level of object recognition (e.g., quality of visual presentation of pictured objects), at the level of semantic…
C.L. Schoch; B. Robbertse; V. Robert; R.G. Haight; K. Kovacs; B. Leung; W. Meyer; R.H. Nilsson; K. Hughes; A.N. Miller; P.M. Kirk; K. Abarenkov; M.C. Aime; H.A. Ariyawansa; M. Bidartondo; T. Boekhout; B. Buyck; Q. Cai; J. Chen; A. Crespo; P.W. Crous; U. Damm; Z.W. De Beer; B.T.M. Dentinger; P.K. Divakar; M. Duenas; N. Feau; K. Fliegerova; M.A. Garcia; Z.-W. Ge; G.W. Griffith; J.Z. Groenewald; M. Groenewald; M. Grube; M. Gryzenhout; C. Gueidan; L. Guo; S. Hambleton; R. Hamelin; K. Hansen; V. Hofstetter; S.-B. Hong; J. Houbraken; K.D. Hyde; P. Inderbitzin; P.R. Johnston; S.C. Karunarathna; U. Koljalg; G.M. Kovacs; E. Kraichak; K. Krizsan; C.P. Kurtzman; K.-H. Larsson; S. Leavitt; P.M. Letcher; K. Liimatainen; J.-K. Liu; D.J. Lodge; J. Jennifer Luangsa-ard; H.T. Lumbsch; S.S.N. Maharachchikumbura; D. Manamgoda; M.P. Martin; A.M. Minnis; J.-M. Moncalvo; G. Mule; K.K. Nakasone; T. Niskanen; I. Olariaga; T. Papp; T. Petkovits; R. Pino-Bodas; M.J. Powell; H.A. Raja; D. Redecker; J.M. Sarmiento-Ramirez; K.A. Seifert; B. Shrestha; S. Stenroos; B. Stielow; S.-O. Suh; K. Tanaka; L. Tedersoo; M.T. Telleria; D. Udayanga; W.A. Untereiner; J. Dieguez Uribeondo; K.V. Subbarao; C. Vagvolgyi; C. Visagie; K. Voigt; D.M. Walker; B.S. Weir; M. Weiss; N.N. Wijayawardene; M.J. Wingfield; J.P. Xu; Z.L. Yang; N. Zhang; W.-Y. Zhuang; S. Federhen
DNA phylogenetic comparisons have shown that morphology-based species recognition often underestimates fungal diversity. Therefore, the need for accurate DNA sequence data, tied to both correct taxonomic names and clearly annotated specimen data, has never been greater. Furthermore, the growing number of molecular ecology and microbiome projects using high-throughput...
Schwartz, Linoy; Yovel, Galit
The representation of familiar objects is comprised of perceptual information about their visual properties as well as the conceptual knowledge that we have about them. What is the relative contribution of perceptual and conceptual information to object recognition? Here, we examined this question by designing a face familiarization protocol during which participants were either exposed to rich perceptual information (viewing each face in different angles and illuminations) or with conceptual information (associating each face with a different name). Both conditions were compared with single-view faces presented with no labels. Recognition was tested on new images of the same identities to assess whether learning generated a view-invariant representation. Results showed better recognition of novel images of the learned identities following association of a face with a name label, but no enhancement following exposure to multiple face views. Whereas these findings may be consistent with the role of category learning in object recognition, face recognition was better for labeled faces only when faces were associated with person-related labels (name, occupation), but not with person-unrelated labels (object names or symbols). These findings suggest that association of meaningful conceptual information with an image shifts its representation from an image-based percept to a view-invariant concept. They further indicate that the role of conceptual information should be considered to account for the superior recognition that we have for familiar faces and objects. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
Roswandowitz, Claudia; Kappes, Claudia; Obrig, Hellmuth; von Kriegstein, Katharina
Abstract Recognizing the identity of others by their voice is an important skill for social interactions. To date, it remains controversial which parts of the brain are critical structures for this skill. Based on neuroimaging findings, standard models of person-identity recognition suggest that the right temporal lobe is the hub for voice-identity recognition. Neuropsychological case studies, however, reported selective deficits of voice-identity recognition in patients predominantly with right inferior parietal lobe lesions. Here, our aim was to work towards resolving the discrepancy between neuroimaging studies and neuropsychological case studies to find out which brain structures are critical for voice-identity recognition in humans. We performed a voxel-based lesion-behaviour mapping study in a cohort of patients (n = 58) with unilateral focal brain lesions. The study included a comprehensive behavioural test battery on voice-identity recognition of newly learned (voice-name, voice-face association learning) and familiar voices (famous voice recognition) as well as visual (face-identity recognition) and acoustic control tests (vocal-pitch and vocal-timbre discrimination). The study also comprised clinically established tests (neuropsychological assessment, audiometry) and high-resolution structural brain images. The three key findings were: (i) a strong association between voice-identity recognition performance and right posterior/mid temporal and right inferior parietal lobe lesions; (ii) a selective association between right posterior/mid temporal lobe lesions and voice-identity recognition performance when face-identity recognition performance was factored out; and (iii) an association of right inferior parietal lobe lesions with tasks requiring the association between voices and faces but not voices and names. The results imply that the right posterior/mid temporal lobe is an obligatory structure for voice-identity recognition, while the inferior parietal
Gövert, Felix; Deuschl, Günther
This review focuses on important new findings in the field of tremor and illustrates the consequences for the current definition and classification of tremor. Since 1998 when the consensus criteria for tremor were proposed, new variants of tremors and new diagnostic methods were discovered that have changed particularly the concepts of essential tremor and dystonic tremor. Accumulating evidence exists that essential tremor is not a single entity rather different conditions that share the common symptom action tremor without other major abnormalities. Tremor is a common feature in patients with adult-onset focal dystonia and may involve several different body parts and forms of tremor. Recent advances, in particular, in the field of genetics, suggest that dystonic tremor may even be present without overt dystonia. Monosymptomatic asymmetric rest and postural tremor has been further delineated, and apart from tremor-dominant Parkinson's disease, there are several rare conditions including rest and action tremor with normal dopamine transporter imaging (scans without evidence of dopaminergic deficit) and essential tremor with tremor at rest. Increasing knowledge in the last decades changed the view on tremors and highlights several caveats in the current tremor classification. Given the ambiguous assignment between tremor phenomenology and tremor etiology, a more cautious definition of tremors on the basis of clinical assessment data is needed.
Garcia, Richard; Kania, Robert; Fields, MaryAnne; Barnes, Laura
To support the missions and tasks of mixed robotic/human teams, future robotic systems will need to adapt to the dynamic behavior of both teammates and opponents. One of the basic elements of this adaptation is the ability to exploit both long and short-term temporal data. This adaptation allows robotic systems to predict/anticipate, as well as influence, future behavior for both opponents and teammates and will afford the system the ability to adjust its own behavior in order to optimize its ability to achieve the mission goals. This work is a preliminary step in the effort to develop online entity behavior models through a combination of learning techniques and observations. As knowledge is extracted from the system through sensor and temporal feedback, agents within the multi-agent system attempt to develop and exploit a basic movement model of an opponent. For the purpose of this work, extraction and exploitation is performed through the use of a discretized two-dimensional game. The game consists of a predetermined number of sentries attempting to keep an unknown intruder agent from penetrating their territory. The sentries utilize temporal data coupled with past opponent observations to hypothesize the probable locations of the opponent and thus optimize their guarding locations.
Mosca, Michela; de Bot, Kees
This study aims at assessing how bilinguals select words in the appropriate language in production and recognition while minimizing interference from the non-appropriate language. Two prominent models are considered which assume that when one language is in use, the other is suppressed. The Inhibitory Control (IC) model suggests that, in both production and recognition, the amount of inhibition on the non-target language is greater for the stronger compared to the weaker language. In contrast, the Bilingual Interactive Activation (BIA) model proposes that, in language recognition, the amount of inhibition on the weaker language is stronger than otherwise. To investigate whether bilingual language production and recognition can be accounted for by a single model of bilingual processing, we tested a group of native speakers of Dutch (L1), advanced speakers of English (L2) in a bilingual recognition and production task. Specifically, language switching costs were measured while participants performed a lexical decision (recognition) and a picture naming (production) task involving language switching. Results suggest that while in language recognition the amount of inhibition applied to the non-appropriate language increases along with its dominance as predicted by the IC model, in production the amount of inhibition applied to the non-relevant language is not related to language dominance, but rather it may be modulated by speakers' unconscious strategies to foster the weaker language. This difference indicates that bilingual language recognition and production might rely on different processing mechanisms and cannot be accounted within one of the existing models of bilingual language processing. PMID:28638361
Zhang, S.; Wang, Y.; Ju, H.
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.
This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introduction to artifical intelligence and knowledge engineering, and no previous knowledge of pattern recognition or machine learning is necessary. Basic for various pattern recognition and machine learning methods. Translated from Japanese, the book also features chapter exercises, keywords, and summaries.
Roza Yu. Namitokova
Full Text Available The authors postulate that there exists a common stock of Russian personal names resulting from a partial blending of national anthroponymicons. The main part of the paper focuses on the history of the personal name Ruslan which has etymological ties with the widespread Turkic name Arslan having the pre-onomastic meaning ‘lion’. The authors study the variation of the name in Russian folklore and in the 15th–17th centuries documents and historical sources. They also pay particular attention to the role of Pushkin’s poem Ruslan and Ludmila in the formation of the associative background of the studied name and to various onomastic derivatives, the latter include patronyms, surnames and the female name Ruslana. The author conclude that the name Ruslan became especially popular in Soviet and post-Soviet periods when it acquired a specific “semantic aura”, namely, in Caucasus where Ruslan became a kind of mark of Russian identity and, thus, contributed to the unification of the anthroponymic space. This conclusion was verified in the course of a survey done among 40 respondents representing different peoples of Caucasus. For most respondents the name has positive connotations and is associated with the Turkic name Arslan and the name of Pushkin’s character. However, some respondents consider it as a “non-Muslim”, Russian name and point out that it is often perceived as such outside Russia. The history of the name Ruslan and the ways of its transonymisation can be an interesting object for further research, especially due to the emergence of new communication technologies and onomastic discourses.
Zenzi M Griffin
Full Text Available When parents select similar sounding names for their children, do they set themselves up for more speech errors in the future? Questionnaire data from 334 respondents suggest that they do. Respondents whose names shared initial or final sounds with a sibling's reported that their parents accidentally called them by the sibling's name more often than those without such name overlap. Having a sibling of the same gender, similar appearance, or similar age was also associated with more frequent name substitutions. Almost all other name substitutions by parents involved other family members and over 5% of respondents reported a parent substituting the name of a pet, which suggests a strong role for social and situational cues in retrieving personal names for direct address. To the extent that retrieval cues are shared with other people or animals, other names become available and may substitute for the intended name, particularly when names sound similar.
Rutt, Rebecca Leigh
Abstract This thesis concerns the role of local institutions in fostering development including natural resource management, and how this role is shaped by relations with higher scale institutions such as development agencies and national governments. Specifically, it examines the choice of local...... objective of this thesis was to contribute to understanding processes and outcomes of institutional choice and recognition. It employed mixed methods but primarily semi structured interviews in multiple sites across Nepal. In responding to specific objectives, namely to better understand: i) the rationales...... behind choices of local institutional counterparts, ii) the belonging and citizenship available with local institutions, iii) the dynamics and mutuality of recognition between higher and lower scale institutions, and iv) the social outcomes of choice and recognition, this thesis shows that the way choice...
Webb, Andrew R
Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition, all require robust and efficient pattern recognition techniques. This third edition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields,
... 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...
PAYONK K.; LYASHENKO V.; KVILINSKYI O.
The article looks into the problems connected with the operation of a business entity in the context of globalization of economic processes. Interaction of economic systems has been analyzed from the perspective of a business entity on the example of Ukraine. There have been suggested methods of assessment and benchmark definition for choosing strategic directions of a business development.
... 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...
Evans, Will; Kirkpatrick, David; Löffler, Maarten; Staals, Frank
We study the problem of maintaining knowledge of the locations of $n$ entities that are moving, each with some, possibly different, upper bound on their speed. We assume a setting where we can query the current location of any one entity, but this query takes a unit of time, during which we cannot
... 43 Public Lands: Interior 1 2010-10-01 2010-10-01 false Nonresident aliens and foreign entities..., DEPARTMENT OF THE INTERIOR ACREAGE LIMITATION RULES AND REGULATIONS § 426.8 Nonresident aliens and foreign... reclamation law or these regulations, a nonresident alien or foreign entity that directly holds land in a...
... FEDERAL ACCOUNTING STANDARDS ADVISORY BOARD Proposed Reporting Entity; Request for Comments AGENCY... seeking input on a proposed Statement of Federal Financial Accounting Standards addressing the Reporting Entity. The Standard is available at http://www.fasab.gov/board-activities/documents-for-comment/exposure...
We use the event-entity-relationship model (EVER) to illustrate the use of entity-based modeling languages for conceptual schema design in data warehouse environments. EVER is a general-purpose information modeling language that supports the specification of both general schema structures and multi...
... 26 Internal Revenue 9 2010-04-01 2010-04-01 false Controlled commercial entity. 1.892-5 Section 1.892-5 Internal Revenue INTERNAL REVENUE SERVICE, DEPARTMENT OF THE TREASURY (CONTINUED) INCOME TAX (CONTINUED) INCOME TAXES Miscellaneous Provisions § 1.892-5 Controlled commercial entity. (a)-(a)(2...
Kita, Yosuke; Inagaki, Masumi
The present study aimed to review previous research conducted on face recognition in patients with autism spectrum disorders (ASD). Face recognition is a key question in the ASD research field because it can provide clues for elucidating the neural substrates responsible for the social impairment of these patients. Historically, behavioral studies have reported low performance and/or unique strategies of face recognition among ASD patients. However, the performance and strategy of ASD patients is comparable to those of the control group, depending on the experimental situation or developmental stage, suggesting that face recognition of ASD patients is not entirely impaired. Recent brain function studies, including event-related potential and functional magnetic resonance imaging studies, have investigated the cognitive process of face recognition in ASD patients, and revealed impaired function in the brain's neural network comprising the fusiform gyrus and amygdala. This impaired function is potentially involved in the diminished preference for faces, and in the atypical development of face recognition, eliciting symptoms of unstable behavioral characteristics in these patients. Additionally, face recognition in ASD patients is examined from a different perspective, namely self-face recognition, and facial emotion recognition. While the former topic is intimately linked to basic social abilities such as self-other discrimination, the latter is closely associated with mentalizing. Further research on face recognition in ASD patients should investigate the connection between behavioral and neurological specifics in these patients, by considering developmental changes and the spectrum clinical condition of ASD.
Full Text Available A glossary of 1276 Amerindian names or name variants of palms is presented, representing at least 121 species in 64 aboriginal languages of Colombia. The species with documented names in the largest number of languages are Bactris gasipaes, Oenocarpus bataua, Mauritia flexuosa,Euterpe precatoria, andAstrocaryum chambira, which are five of the most used palms in South America. The languages with the largest number of named species are uitoto (48, tikuna (47, muinane (43, siona (34, sikuani (31 and miraña (30. These figures reflect the detailed studies carried out with these ethnic groups, besides the palm diversity of their territories and their knowledge about it. The names are presented in three separate lists –arranged by species, by language, and a global list of names that includes references for each individual record.
Full Text Available At many entities the net asset value is influenced by the evaluation methods applied for tangible assets, because the value of intangible assets and financial assets is small in most cases. The objective of this paper is to analyze the differences between the procedures / methods of evaluation applied by micro and small entities and medium and large entities for tangible assets in Romania and Hungary. Furthermore, we analyze the differences between the procedures / methods of evaluation applied by micro and small entities in Romania and Hungary, respectively the differences between medium and large entities regarding de evaluation methods for tangible assets in Romania and Hungary. For this empirical study the questionnaire is used – as research technique, and to demonstrate the significant differences between the evaluation methods we used the Kolmogorov – Smirnov Z test.
Kaissi, Ali Al; van Egmond-Fröhlich, Andreas; Ryabykh, Sergey; Ochirov, Polina; Kenis, Vladimir; Hofstaetter, Jochen G.; Grill, Franz; Ganger, Rudolf; Kircher, Susanne Gerit
Abstract Rationale: 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. Patients concerns: 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. Diagnoses: 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). Interventions: Surgical interventions have been carried out in the Larsen syndrome and Morquio syndrome type A, resepectively. Outcomes: 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. Lesons: 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. PMID:27977582
DESY KUSUMA WARDHANI
Full Text Available This Research entitled "Legal Protection Against Blogger Good Faith Domine Name Of Alleged Deception Famous Brand Reputation (Passing Off". The problem of this study was, first: How does the domain name in a legal setting in Indonesia. Second: What is the legal protection of domain name for blogger’s good faith if there are similarities with the domain name famous brand. This research method using normative methods, the legal research done by examining library materials. Which refers to the legal norms contained in the legislation, international conventions, international agreements and court decisions. The results showed, first: The domain name has been linked closely with the brand and copyright but the domain name is not synonymous with the brand and copyright, as it has a system and registration requirements as well as the recognition of the existence differently. So far there are kekososngan norms that specifically regulate the domain name issue in Indonesia. Until now, the settings used by the international ICANN (Internet Corporation for Assigned Names and Numbers, the competent authority dealing with internet IP Addres, and domain name system management. Second: Legal protection for bloggers acting in good faith if there are similarities regarding the domain name can be a famous brand is preventive legal protection and the protection of repressive laws which refers to the settlement of a litigation matter (referring to the legal protection of IPR, Civil, Criminal and Law ITE and non-litigation (both ADR and UDRP.
Koike, Shinsuke; Yamaguchi, Sosei; Ojio, Yasutaka; Shimada, Takafumi; Watanabe, Kei-ichiro; Ando, Shuntaro
A name change for schizophrenia was first implemented in Japan for reducing stigma in 2002; however, little is known of its long-term impact. Total 259 students from 20 universities answered an anonymous self-administered questionnaire about their mental health-related experiences, and stigma scales including feasible knowledge and negative stereotypes for four specific diseases, including schizophrenia (old and new names), depression, and diabetes mellitus. We also asked to choose the old and new names of schizophrenia and dementia among ten names for mental and physical illnesses and conditions. The participants had more feasible knowledge and fewer negative stereotypes for the new name of schizophrenia than the old name, but were still significantly worse than for depression and diabetes mellitus (p stereotypes (β = 0.13, p = 0.020). The rate of correct responses for the old and new names of schizophrenia was significantly lower than that of dementia (41 vs. 87%, p media was associated with the recognition of name change for schizophrenia (p = 0.008), which was associated with less feasible knowledge for new name of schizophrenia. The name change of schizophrenia has reduced stigma since 12 years have passed. More effective campaigns, educational curricula, and policy making are needed to reduce stigma toward schizophrenia.
Full text: The initials 'RAU are well known in the world of particle physics, but recently the official name of the Laboratory has undergone several transmogrifications. To further complicate matters, the funding body for Particle Physics within the UK has changed too! On 1 April 1994 the Rutherford Appleton Laboratory combined with the Daresbury Laboratory to become a combined laboratory known as the Daresbury and Rutherford Appleton Laboratories (DRAL). At the same time the old Science and Engineering Research Council (SERC) was wound up, and funding was channelled through the newly formed Particle Physics and Astronomy Research Council (PPARC). Also, and just for an interim period, DRAL became part of the new Engineering and Physical Sciences Research Council (EPSRC). One year later a more profound change occurred when DRAL became a Research Council in its own right, and the legal entity created by Royal Charter was named The Council for the Central Laboratory of the Research Councils', abbreviated to CCLRC. On 1 April 1995, DRAL became The Central Laboratory of the Research Councils', and the abbreviation CLRC may be used. In spite of the changes to the official name, the laboratory sited at Chilton, The DAPNIA (Saclay, France) and Argonne transportable polarized target used in 1989- 1990 for a Fermi lab experiment has been used in a new experiment at Dubna. Gilles Durand from DAPNIA (right) and Yuri Usov of Dubna's Joint Institute for Nuclear Research (JINR) were responsible for construction. Oxfordshire, will continue to be known as the Rutherford Appleton Laboratory, or RAL
This paper describes the clinical features of two very distinct syndromes with similar names: Gorlin-Goltz and Goltz-Gorlin Syndromes. A case report is presented that highlights the differences between these syndromes. To avoid errors in diagnosis because of the similarity in names, the authors caution that, based on additional information now available, the preferred names should be Focal Dermal Hypoplasia syndrome for Goltz-Gorlin syndrome and Nevoid Basal Cell Carcinoma syndrome for Gorlin-Goltz syndrome.
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
Raoul Bell; Axel Buchner
The present experiment shows that source memory for names associated with a history of cheating is better than source memory for names associated with irrelevant or trustworthy behavior, whereas old-new discrimination is not affected by whether a name was associated with cheating. This data pattern closely replicates findings obtained in previous experiments using facial stimuli, thus demonstrating that enhanced source memory for cheaters is not due to a cheater-detection module closely tied ...
Yochum, T R; Hartley, B; Thomas, D P; Guebert, G M
There are many conditions of the spine to which various authors have applied descriptive names. This paper, an extensive review of the literature, provides the first complete source for such named vertebrae. Included are 88 names covering all categories of bone disease. A brief description of the radiographic appearance and its pathogenesis is provided for each, along with a consideration of the disease processes which may produce the appearance.
Treadwell, D. F.
Presents names of college and universities unfamiliar to potential students. Finds that one cluster of respondents had a clear preference for geographic or aspirational names while a second cluster had a preference for proper names. Notes that there was an overall preference for proper names. (SG)
Rose, Susan A.; Feldman, Judith F.; Jankowski, Jeffery J.
Visual recognition memory is a robust form of memory that is evident from early infancy, shows pronounced developmental change, and is influenced by many of the same factors that affect adult memory; it is surprisingly resistant to decay and interference. Infant visual recognition memory shows (a) modest reliability, (b) good discriminant…
Recognition and toleration are ways of relating to the diversity characteristic of multicultural societies. The article concerns the possible meanings of toleration and recognition, and the conflict that is often claimed to exist between these two approaches to diversity. Different forms or inter...
Pauca, V. Paúl; Forkin, Michael; Xu, Xiao; Plemmons, Robert; Ross, Arun A.
Ocular recognition is a new area of biometric investigation targeted at overcoming the limitations of iris recognition performance in the presence of non-ideal data. There are several advantages for increasing the area beyond the iris, yet there are also key issues that must be addressed such as size of the ocular region, factors affecting performance, and appropriate corpora to study these factors in isolation. In this paper, we explore and identify some of these issues with the goal of better defining parameters for ocular recognition. An empirical study is performed where iris recognition methods are contrasted with texture and point operators on existing iris and face datasets. The experimental results show a dramatic recognition performance gain when additional features are considered in the presence of poor quality iris data, offering strong evidence for extending interest beyond the iris. The experiments also highlight the need for the direct collection of additional ocular imagery.
Sun, Shengnan; Zhao, Lindu; Yang, Shicai
Iris recognition is a robust biometric technology. This paper proposes a novel local descriptor for bovine iris recognition, named Gabor Weber local descriptor (GWLD). We first compute the Gabor magnitude maps for the input bovine iris image, and then calculate the differential excitation and orientation for each pixel over each Gabor magnitude map. After that, we use these differential excitations and orientations to construct the GWLD histogram representation. Finally, histogram intersectio...
Full Text Available Â Abstract Pen-name (Takhalloss is one of the main features of Persian poetry. It has been a matter of concern among many of Persian language geography poets in the orient at least up to the Mashrouteh era. Pen-name has been promoted among the other Muslim nations throuph Persian poetry. Although it is not as famous in the Arab nations as in the Persian speaking nations, it is known as âAlqab-o-shoaraâ among the Arab nations and, through this way, it has affected the poetrical wealth of the Arabic poets. Â The Present paper, using description-analystic approach, compares the pen-names of Persian and Arabic poets under the title of âpen-namesâ and investigates their features in both cultures. The main research question is: What are the similarities and differences of poetic-names, in Persian and Arabic poets in terms of the type of name, position and importance? The results showed that Pseudonym by its amazing expansion in Persian poetry has also influenced Arabic poetry. In addition to the factors affecting in the choice of pen-names (like pseudonym, pen-name, nickname..., sometimes such external factors as events, commends, community benefactors and climate, as well as internal factors including the poetsâ inner beliefs are associated too. .
Caute, Anna; Pring, Tim; Cocks, Naomi; Cruice, Madeline; Best, Wendy; Marshall, Jane
Purpose: In this study, the authors investigated whether gesture, naming, and strategic treatment improved the communication skills of 14 people with severe aphasia. Method: All participants received 15 hr of gesture and naming treatment (reported in a companion article [Marshall et al., 2012]). Half the group received a further 15 hr of strategic…
Lee, Wen Shu
Contributes to both feminist scholarship and Chinese Studies by coming to grips with the deep, culturally embedded, and politically significant meaning of the names given to Chinese women. Uses the analysis of two names to advance theory that will link and enrich rhetorical, feminist, and intercultural studies and break through the limits of…
pride and unit traditions. After the war and the subsequent demobilisation of the UDF the procedures for naming were described and certain require- ments laid down. During the term of office of the Minister of Defence at the time, F.C. Erasmus,the following proce- dure for naming was promulgated - a procedure that has not ...
Maess, B.; Friederici, A.D.; Damian, M.F.; Meyer, A.S.; Levelt, W.J.M.
The study investigated the neuronal basis of the retrieval of words from the mental lexicon. The semantic category interference effect was used to locate lexical retrieval processes in time and space. This effect reflects the finding that, for overt naming, volunteers are slower when naming pictures
... 32 National Defense 4 2010-07-01 2010-07-01 true Name checks. 635.6 Section 635.6 National Defense Department of Defense (Continued) DEPARTMENT OF THE ARMY (CONTINUED) LAW ENFORCEMENT AND CRIMINAL INVESTIGATIONS LAW ENFORCEMENT REPORTING Records Administration § 635.6 Name checks. (a) Information contained in military police records may be...
Grothoff, C.; Wachs, M.; Ermert, M.; Appelbaum, J.
The Domain Name System (DNS) provides crucial name resolution functions for most Internet services. As a result, DNS traffic provides an important attack vector for spy agencies, as demonstrated by the QUANTUMDNS and MORECOWBELL programs of the NSA. This article reviews how DNS works, and explains
Full Text Available This paper describes an innovative solution for geovisualization of the demographic and administrative history of French municipalities, named "communes" in French. This solution allows for the open dissemination of such data. The challenge is to provide a web interface for unskilled users in order to help them understand complex information about the demographic evolution of French territories. Our approach combines interactive thematic, spatial, and temporal views. We describe our architecture, based on open-source technologies, and the organization of this imperfect geo-historical information in our spatiotemporal database. Our second contribution concerns the concept of an acquaintance graph that has been used to obtain an efficient design with good performance in our geovisualization website.
Yan, Su; Spangler, W Scott; Chen, Ying
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.
Full Text Available Vitamin K deficiency bleeding (VKDB disorder is an uncommon entity, which occurs due to inadequate activity of vitamin K-dependant coagulation factors. An 8-months-old exclusively breast-fed male infant presented with multiple, purpuric and nodular non-collapsible swellings on trunk of 4 days duration. Investigations revealed raised activated partial thromboplastin time and prothrombintime. Fibrinogen level and platelet counts were normal. Late VKDB usually presents as intra-cranial or mucosal hemorrhages.  Though skin and mucosal bleeding may occur in 1/3 rd of infants with VKDB, ′nodular purpura′ is not the common presenting feature. Earlier recognition of VKDB and immediate investigation/treatment helps prevent the potentially fatal outcome of the disease. Very little is mentioned about this entity in dermatology literature.
John N. N. Ugoani
Full Text Available This study was designed to evaluate the problems of employee turnover on productivity among small business entities in Nigeria, and recommend remedial actions. Employee turnover is the separation of employees from employers and replacement with other employees. Productive manpower is a critical element for the economic survival of any small business entity. The survey research design was used for the study. The sample comprised of 320 respondents. Data generated were analyzed by using descriptive, and Z-test statistical techniques. It was found that employee turnover adversely affects productivity in small business entities.
Laura Adriana COJOCARU (ALIONESCU
Full Text Available Accounting for current assets mainly aims to obtain useful information on the management of their best in order to make management decisions. Counting efficiency of these assets, their importance, provides improved performance of the entity. In this paper we want to study the degree of implementation of policies and accounting treatments on the current assets in the specific construction economic entities, the problems of implementation and thus better addressing their theoretical and procedural to improve the information provided by financial statements. Due to the importance of proper conduct of business owned entities, accounting current assets should result in optimal and efficient control of current assets.
Kang, Min-Sung; Hong, Chang-Ho; Heo, Jino; Lim, Jong-In; Yang, Hyung-Jin
In this paper, we suggest a controlled mutual quantum entity authentication protocol by which two users mutually certify each other on a quantum network using a sequence of Greenberger–Horne–Zeilinger (GHZ)-like states. Unlike existing unidirectional quantum entity authentication, our protocol enables mutual quantum entity authentication utilizing entanglement swapping; moreover, it allows the managing trusted center (TC) or trusted third party (TTP) to effectively control the certification of two users using the nature of the GHZ-like state. We will also analyze the security of the protocol and quantum channel. (paper)
Full Text Available Located at the intersection of the two spheres (tourism markets and financial ones, the tourism entity in Romania is interested in finding the formula to assure optimum financing by attracting financial resources in the field, on the one hand and on the other hand it is interested in meeting the high demand for profit from tourism and economic sphere. The objective determinant of Romanian tourism entity is to maximize the value by carrying out a profitable activity. The touristic entity must obtain profit to generate sufficient funds to distribute cash dividends to shareholders, while paying creditors at a favorable interest on borrowed funds.
E.M. Van Mulligen (Erik M.); Z. Afzal (Zubair); S.A. Akhondi (Saber); D. Vo (Dang); J.A. Kors (Jan)
textabstractWe participated in task 2 of the CLEF eHealth 2016 chal-lenge. Two subtasks were addressed: entity recognition and normalization in a corpus of French drug labels and Medline titles, and ICD-10 coding of French death certificates. For both subtasks we used a dictionary-based approach.
Pecher, Diane; Zanolie, Kiki; Zeelenberg, René
According to the perceptual symbols theory (Barsalou, 1999), sensorimotor simulations underlie the representation of concepts. We investigated whether recognition memory for pictures of concepts was facilitated by earlier representation of visual properties of those concepts. During study, concept names (e.g., apple) were presented in a property verification task with a visual property (e.g., shiny) or with a nonvisual property (e.g., tart). Delayed picture recognition memory was better if the concept name had been presented with a visual property than if it had been presented with a nonvisual property. These results indicate that modality-specific simulations are used for concept representation.
Rozado, David; San Agustin, Javier; Rodriguez, Francisco
, and their corresponding real-time recognition algorithms, Hierarchical Temporal Memory networks and the Needleman-Wunsch algorithm for sequence alignment. Our results show how a specific combination of gaze gesture modality, namely saccadic gaze gestures, and recognition algorithm, Needleman-Wunsch, allows for reliable...... usage of intentional gaze gestures to interact with a computer with accuracy rates of up to 98% and acceptable completion speed. Furthermore, the gesture recognition engine does not interfere with otherwise standard human-machine gaze interaction generating therefore, very low false positive rates...
Li, Doujie; Fan, Zhongyan; Tang, Wallace K S
Naming game simulates the evolution of vocabulary in a population of agents. Through pairwise interactions in the games, agents acquire a set of vocabulary in their memory for object naming. The existing model confines to a one-to-one mapping between a name and an object. Focus is usually put onto name consensus in the population rather than knowledge learning in agents, and hence simple learning model is usually adopted. However, the cognition system of human being is much more complex and knowledge is usually presented in a complicated form. Therefore, in this work, we extend the agent learning model and design a new game to incorporate domain learning, which is essential for more complicated form of knowledge. In particular, we demonstrate the evolution of color categorization and naming in a population of agents. We incorporate the human perceptive model into the agents and introduce two new concepts, namely subjective perception and subliminal stimulation, in domain learning. Simulation results show that, even without any supervision or pre-requisition, a consensus of a color naming system can be reached in a population solely via the interactions. Our work confirms the importance of society interactions in color categorization, which is a long debate topic in human cognition. Moreover, our work also demonstrates the possibility of cognitive system development in autonomous intelligent agents.
Валентина Алексеевна Ленинцева
Full Text Available The article presents an analysis of precedent names as symbols of precedent phenomena in the material and spiritual culture of the Chinese. An evaluation of daily events and the attitude of the Chinese towards the world are reflected in the vocabulary of their language. The symbols of precedent phenomena can be proper names (anthroponomy, names of places, the date, as well as figurative and expressive means of language (idioms, sayings. Precedent names as symbols of precedent phenomena vividly and accurately capture the above-mentioned points, and encompass almost all spheres of life, history and spiritual development. The subject of our study are national precedent phenomena that define the ethno-cultural specificity, reflecting the history and culture of the Chinese people and their national character. Representatives of different cultures have different perceptions of the same precedent phenomena. Inadequate understanding of national invariants of precedent phenomena is often the source of communication failures. The aim of this paper is to highlight precedent names as a symbol of precedent phenomena in the discourse of the Chinese linguocultural community. For this purpose a classification of precedent names in Chinese was carried out. Precedent names which play an important role in shaping the Chinese national consciousness were taken from the Chinese-Russian Dictionary.
Bissell, George E.
In 1984 the Governmental Accounting Standards Board, created to solidify accounting principles for government entities, enumerated Generally Accepted Accounting Principles endorsed by the American Institute of Certified Public Accountants and the National Council on Governmental Accounting. These principles have recently been approved for school…
Methods. Four PWA with naming impairment named and gave familiarity ratings to a corpus of 700 pictures of proper noun entities twice over two weeks. For each participant, we selected items the participant knew recognized but could not consistently name for assignment into the conditions, with a minimum of 36 (max=72 items per condition across participants. The design involved a 2-level factor of type of training (retrieval practice versus errorless learning, i.e., repetition and a factor of spacing, which included a massed condition (lag 1 and three spaced conditions (lags 5, 15, and 30. Lag corresponded to the number of training trials for other items that intervened between three presentations of an item for retrieval practice or repetition training. On a repetition trial, the name was presented (seen/heard and the participant repeated the name at picture onset. On a naming trial, only the picture was presented. All trials ended in feedback (i.e., the name was presented. Primary outcome was naming performance on a retention test administered 1-day following training, with a 1-week follow-up test administered to measure persistence of the effects. Results & Conclusions. Mixed regression analyses revealed that the naming condition was associated with superior performance over repetition, observed both at the retention test (p=.001 and follow-up (p=.01; Figure 1, left panel. Also, spaced training conferred superior benefits compared to massed, both at retention test (p<.001 and follow-up (p=.006; Figure 1, right panel. An analysis of the spaced lags in the naming condition revealed that though increasing lag made retrieval practice more effortful (i.e., error-prone during training, increasing lag conferred more powerful learning at retention test. The present study provides definitive evidence of the relevance of retrieval practice, retrieval effort, and spacing for optimizing existing treatments, their explanatory power, and their importance in driving future
Charles Leek, E; Patterson, Candy; Paul, Matthew A; Rafal, Robert; Cristino, Filipe
This paper reports the first ever detailed study about eye movement patterns during single object recognition in visual agnosia. Eye movements were recorded in a patient with an integrative agnosic deficit during two recognition tasks: common object naming and novel object recognition memory. The patient showed normal directional biases in saccades and fixation dwell times in both tasks and was as likely as controls to fixate within object bounding contour regardless of recognition accuracy. In contrast, following initial saccades of similar amplitude to controls, the patient showed a bias for short saccades. In object naming, but not in recognition memory, the similarity of the spatial distributions of patient and control fixations was modulated by recognition accuracy. The study provides new evidence about how eye movements can be used to elucidate the functional impairments underlying object recognition deficits. We argue that the results reflect a breakdown in normal functional processes involved in the integration of shape information across object structure during the visual perception of shape. Copyright © 2012 Elsevier Ltd. All rights reserved.
Full Text Available In the Roman law, changing the name was possible except for the case in which this changewould have been fraudulent. This possibility was kept also in the Middle Age but with some restrictions:the handicraftsmen were not allowed to change their name when it served as a factory brand, the notarycould not change his name without having an authorization, and neither could he change his normalsignature. Gradually, the monarchy increased its control in this matter, tending to transform a socialinstitution into a police one.
Conclusion: Gochu, kimchi, and bibimbap have thousands of years of history and have been called with pure Korean name words. It was only that they were recorded in the form of hanja during the time written Korean was undervalued where people insisted borrowing Chinese characters to write despite written Korean being available. Thus, gocho (苦椒, chimchae (沈菜, and koldonban (滑董飯 are not the origin names. The pure Korean names used even by the people back then are the actual ones: gochyo (고쵸, dimchae (딤, and bubuimbap (부뷤밥.
Full Text Available The present experiment shows that source memory for names associated with a history of cheating is better than source memory for names associated with irrelevant or trustworthy behavior, whereas old-new discrimination is not affected by whether a name was associated with cheating. This data pattern closely replicates findings obtained in previous experiments using facial stimuli, thus demonstrating that enhanced source memory for cheaters is not due to a cheater-detection module closely tied to the face processing system, but is rather due to a more general bias towards remembering the source of information associated with cheating.
Full Text Available Current global trends force businesses to enhance their competitiveness via quality, innovations, leaning of production processes and shortening of production cycles, development of employees and satisfying of customer's needs. At the same time, the society demands from entities more emphasis on sustainable development, environmental protection, social responsibility and on other social aspects of the business. Many firms seek the ways how to master such important demands and gain the recognition on the market. One of the avenues how to achieve planned results resides in implementation of the Total Quality Management systems, which also provide grounds for reaching a status of reliable business partner. Presented research paper puts an emphasis on execution of research in order to find out about the situation with the status of implementation of the quality managerial systems in Slovak businesses as well as to recognize reasons and contributions of usage of these systems in their activities.
...; requests for recognition; withdrawal of recognition; accreditation of representatives; roster. 292.2...; withdrawal of recognition; accreditation of representatives; roster. (a) Qualifications of organizations. A non-profit religious, charitable, social service, or similar organization established in the United...
Altani, Angeliki; Protopapas, Athanassios; Georgiou, George K
During reading acquisition, word recognition is assumed to undergo a developmental shift from slow serial/sublexical processing of letter strings to fast parallel processing of whole word forms. This shift has been proposed to be detected by examining the size of the relationship between serial- and discrete-trial versions of word reading and rapid naming tasks. Specifically, a strong association between serial naming of symbols and single word reading suggests that words are processed serially, whereas a strong association between discrete naming of symbols and single word reading suggests that words are processed in parallel as wholes. In this study, 429 Grade 1, 3, and 5 English-speaking Canadian children were tested on serial and discrete digit naming and word reading. Across grades, single word reading was more strongly associated with discrete naming than with serial naming of digits, indicating that short high-frequency words are processed as whole units early in the development of reading ability in English. In contrast, serial naming was not a unique predictor of single word reading across grades, suggesting that within-word sequential processing was not required for the successful recognition for this set of words. Factor mixture analysis revealed that our participants could be clustered into two classes, namely beginning and more advanced readers. Serial naming uniquely predicted single word reading only among the first class of readers, indicating that novice readers rely on a serial strategy to decode words. Yet, a considerable proportion of Grade 1 students were assigned to the second class, evidently being able to process short high-frequency words as unitized symbols. We consider these findings together with those from previous studies to challenge the hypothesis of a binary distinction between serial/sublexical and parallel/lexical processing in word reading. We argue instead that sequential processing in word reading operates on a continuum
Conclusion: PLC is a frequently misdiagnosed clinical entity which delays the initiation of appropriate treatment. A succinct magnified examination of punctum and canalicular region can provide sufficient clues pivotal for accurate diagnosis.
Journal of Basic and Clinical Reproductive Sciences · January - June 2013 · Vol 2 · Issue 1. 54 ... case report of primary ovarian leiomyoma, which is a rare entity, in a postmenopausal female with ... There were extensive areas of edema.
Scheper, Frederike Y.; Hennekam, Raoul C. M.
A 14-year-old male is described with Tourette syndrome, platyspondyly, a marked delay in bone age, growth retardation that is more expressed in the limbs and talipes equinovarus. This appears to be a new entity
..., any State, or possession of the United States, any political subdivision thereof, or any official police organization of such a government entity engaged in criminal investigations. Any person making a...
Hofmann-Apitius, Martin; Fluck, Juliane; Furlong, Laura; Fornes, Oriol; Kolárik, Corinna; Hanser, Susanne; Boeker, Martin; Schulz, Stefan; Sanz, Ferran; Klinger, Roman; Mevissen, Theo; Gattermayer, Tobias; Oliva, Baldo; Friedrich, Christoph M
In essence, the virtual physiological human (VPH) is a multiscale representation of human physiology spanning from the molecular level via cellular processes and multicellular organization of tissues to complex organ function. The different scales of the VPH deal with different entities, relationships and processes, and in consequence the models used to describe and simulate biological functions vary significantly. Here, we describe methods and strategies to generate knowledge environments representing molecular entities that can be used for modelling the molecular scale of the VPH. Our strategy to generate knowledge environments representing molecular entities is based on the combination of information extraction from scientific text and the integration of information from biomolecular databases. We introduce @neuLink, a first prototype of an automatically generated, disease-specific knowledge environment combining biomolecular, chemical, genetic and medical information. Finally, we provide a perspective for the future implementation and use of knowledge environments representing molecular entities for the VPH.
S. van den Braak; R. Choenni; M.S. Bargh
Legal persons (i.e., entities such as corporations, companies, partnerships, firms, associations, and foundations) may commit financial crimes or employ fraudulent activities like money laundering, tax fraud, or bankruptcy fraud. Therefore, in the Netherlands legal persons are automatically screened
Reilly, Robert F
The double taxation of C corporation income from operations and from the ultimate sale of its assets makes the C corporation an inefficient tax status for many health care entities. At the time of this writing, the changes in the federal tax law that are scheduled to take effect in 2013 will increase this level of double-taxation inefficiency. The owners of a C corporation practice can avoid the C corporation status tax inefficiency by converting the practice to either (1) S corporation status or (2) LLC status. The conversion of the health care C corporation to an S corporation may be accomplished without a current tax cost. However, the conversion of a health care C corporation to an LLC status can result in a current tax at both the corporation level and the shareholder level. Nonetheless, the current conversion tax cost may be less than the future tax cost (1) of operating the practice as a C corporation and incurring double taxation at what may be higher tax rates or (2) of incurring the higher tax cost (or reduced price) on the ultimate disposition of the practice assets and the attendant double taxation of the appreciation in the value of the practice assets. Since individual income tax rates on qualifying dividends from C corporations and on capital gains are currently at very low rates, this may be a good time for C corporation practice owners to consider the costs and benefits of a conversion to either S corporation status or LLC status. The practice owners should consult with their accounting, legal, and valuation advisors in order to consider all of the costs and benefits of a possible corporate tax status conversion. An estimation of both the costs and benefits of the corporate tax status conversion depends on the concluded fair market values of the medical practice, dental practice, or other health care entity assets. And, that practice asset appraisal should encompass all of the practice assets, both tangible assets and intangible assets.
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......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...... 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...
LUO Hong-lan; XU Guo-xin; FAN Jin
In terms of accounting, all types of business enterprises regardless of their organizational form are separate accounting entities. But different types of organization forms entail remarkable differences in the establishments, legal positions, liabilities, taxation obligations and accounting practices of the business enterprises as accounting entities. A good knowledge of such difference is beneficial to the promotion of the development of all types of business enterprises in China.
Soguel, N.; Bucher, R.
Whether or not to consolidate financial statements is dealt with in IPSAS#6. This standard is by and large based on IAS#27. It deals with the criterion according to which an entity's financial statements should be considered and which consolidation technique should be used. However, it remains silent when it comes to exposing the reason why a public sector entity should consolidate its financial statements. The literature is almost as silent as IPSAS on this issue. Which means that there is a...
Full Text Available In July 2014, the International Accounting Standards Board (IASB published International Financial Reporting Standard 9 Financial Instruments (IFRS 9. This standard introduces an expected credit loss (ECL impairment model that applies to financial instruments, including trade and lease receivables. IFRS 9 applies to annual periods beginning on or after 1 January 2018 in the European Union member states. While the main reason for amending the current model was to require major banks to recognize losses in advance of a credit event occurring, this new model also applies to all receivables, including trade receivables, lease receivables, related party loan receivables in non-financial sector entities. The new impairment model is intended to result in earlier recognition of credit losses. The previous model described in International Accounting Standard 39 Financial instruments (IAS 39 was based on incurred losses. One of the major questions now is what models to use to predict expected credit losses in non-financial sector entities. The purpose of this paper is to research the application of the current impairment model, the extent to which the current impairment model can be modified to satisfy new impairment model requirements and the applicability of the binomial model for measuring expected credit losses from accounts receivable.
Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...
Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...
Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...
John Kousgård Sørensen
Full Text Available What actually happened at the time when Denmark was christianized? An important viewpoint to the topic is the nomenclature, both personal names and place-names. What happened to these in the missionary period? Can they be exploited as evidence about the change of religion? What happened to these and to the naming practices in connection with the introduction of Christianity? These questions are relevant, because several pre-Christian cultic words entered into the personal nomenclature which the Christian mission found in use on its arrival. The fate of the nomenclature in the period does suggest that the change in religion took place reasonably peacefully and gradually. There are, however, certain features about the place-names suggesting that there were local differences in the conduct of the mission.
This catalog/directory presents DOE`s procurement and assistance data system, arranged according to awardee name, bin, completion date, description of work, division, vendor ID, city, state, congressional district, contract value, obligations to date, P/S.
The 'naturality' of monophyletic taxa in comparison with that of paraphyletic ones is discussed, with examples from Clitellata. Regular scientific names for paraphyletic taxa are inevitable in a workable biological classification.
Earth Data Analysis Center, University of New Mexico — The Geographic Names Information System (GNIS) actively seeks data from and partnerships with Government agencies at all levels and other interested organizations....
Andy Gunawan:SkripsiAnalisis pengaruh store name, brand name dan price discounts terhadap purchase intention konsumen infnite tunjungan plaza Di era globalisasi ini, persaingan dagang antara Perusahaan – Perusahaan baik lokal maupun global menjadi semakin ketat, oleh karena itu Perusahaan selalu berusaha untuk meningkatkan ketertarikan minat beli konsumen. Beberapa variabel yang menjadi fokus Perusahaan adalah store name, brand name, dan price discount. Tujuan penelitian ini adalah untuk meng...
Jørgensen, Jan Guldager; Schröder, Philipp
The present paper examines trade liberalization driven by the coordination of product standards. For oligopolistic firms situated in separate markets that are initially sheltered by national standards, mutual recognition of standards implies entry and reduced profits at home paired with the oppor......The present paper examines trade liberalization driven by the coordination of product standards. For oligopolistic firms situated in separate markets that are initially sheltered by national standards, mutual recognition of standards implies entry and reduced profits at home paired...... countries and three firms, where firms first lobby for the policy coordination regime (harmonization versus mutual recognition), and subsequently, in case of harmonization, the global standard is auctioned among the firms. We discuss welfare effects and conclude with policy implications. In particular......, harmonized standards may fail to harvest the full pro-competitive effects from trade liberalization compared to mutual recognition; moreover, the issue is most pronounced in markets featuring price competition....
A total of 294 schools, colleges, and universities received prizes in this year's CASE Recognition program. Awards were given in: public relations programs, student recruitment, marketing, program pulications, news writing, fund raising, radio programming, school periodicals, etc. (MLW)
The aim of forensic speaker recognition is to establish links between individuals and criminal activities, through audio speech recordings. This field is multidisciplinary, combining predominantly phonetics, linguistics, speech signal processing, and forensic statistics. On these bases, expert-based
Kotchoubey, Boris; Pavlov, Yuri G
Four experiments are reported in which two harmonic tones (CS+ and CS-) were paired with a participant's own name (SON) and different names (DN), respectively. A third tone was not paired with any other stimulus and served as a standard (frequent stimulus) in a three-stimuli oddball paradigm. The larger posterior positivity (P3) to SON than DN, found in previous studies, was replicated in all experiments. Conditioning of the P3 response was albeit observed in two similar experiments (1 and 3), but the obtained effects were weak and not identical in the two experiments. Only Experiment 4, where the number of CS/UCS pairings and the Stimulus-Onset Asynchrony between CS and UCS were increased, showed clear CS+/CS- differences both in time and time-frequency domains. Surprisingly, differential responses to CS+ and CS- were also obtained in Experiment 2, although SON and DN in that experiment were masked and never consciously recognized as meaningful words (recognition rate 0/63 participants). The results are discussed in the context of other ERP conditioning experiments and, particularly, the studies of non-conscious effect on ERP. Several further experiments are suggested to replicate and extend the present findings and to remove the remaining methodological limitations. Copyright © 2017 Elsevier Inc. All rights reserved.
Full Text Available During the last decades, the Human Resources Management became a very important area of activity, which brought relevant changes to the human resources approach in terms of place and role within the Romanian R&D entities. Also, HR proved its importance through the solutions offered for personnel allocation in order to achieve the entities’ objectives and, meanwhile, it supported the employees’ aspirations. At present, although promoted a series of regulations on the status of the researcher, both, national and European level, as the main human resource in the establishment of RDI, to the research staff are imposed in most cases the general rules of human resources management. Starting with the strengthening of the concept of European Research Area - ERA, the European Commission adopted the "European Charter for Researchers" and the Code of Conduct for the Recruitment of Researchers. These documents are addressed to researchers and to public and private sector employers. Also, are considered key elements of EU policy researchers, to make careers more attractive, being considered vital for economic growth strategy and increase the number of employees of RDI. Human resource development requires good knowledge and understanding of their particular role to the organization. Researchers, regardless of hierarchy or job name, are the key resource of RDI entities (universities, institutes, NGOs, SMEs that ensure their survival, development and competitive success. The evolution of knowledge-based companies needs to improve relations between knowledge and development. Knowledge is a necessary tool to meet economic needs and an important component of sustainable development at European level. European Research Area concept was launched at the Lisbon European Council meeting in March 2000, but true recognition began in 2007 with the launch of the European Commission's Green Paper on ERA. In 2008 the Council set in motion the Ljubljana process to improve
The traditional food of a nation reflects its historical and cultural characteristics This thesis begins with an introduction to the translation situation of Chinese dish names and its existing problem nowadays, and proceeds to the translation principles and tactics for English translation of the names of Chinese dishes, based on Eugene A. Nida’ s Functional Equivalence, with an aim to improve translation efficiency and promote cross-cultural communication, and promoting Chinese food culture throughout the globe.
name servers that changed IP address five or more times in a month. Solid red line indicates those servers possibly linked to pharmaceutical scams . 12...malicious and stated that fast-flux hosting “is considered one of the most serious threats to online activities today” [ICANN 2008, p. 2]. The...that time, apparently independent of filters on name-server flux, a large number of pharmaceutical scams1 were taken down. These scams apparently
Schovsbo, Jens Hemmingsen
This chapter evaluates the performance of the special private tribunals or panels such as the UDRP which have been developed within complicated systems of self- and co-regulation such as ICANN to decide disputes over domain names. It uses two different dispute resolution models viz. the UDRP (WIP...... trademarks are used as (parts of) domain names to express criticism of the trademark holder or the trademark itself (e.g. “TMsucks.com” / “lorteTM.dk”)....
Elsass, Peter; Jensen, Bodil; Mørup, Rikke
Elsass P., Jensen B., Morup R., Thogersen M.H. (2007). The Recognition Of Fatigue: A qualitative study of life-stories from rehabilitation clients. International Journal of Psychosocial Rehabilitation. 11 (2), 75-87......Elsass P., Jensen B., Morup R., Thogersen M.H. (2007). The Recognition Of Fatigue: A qualitative study of life-stories from rehabilitation clients. International Journal of Psychosocial Rehabilitation. 11 (2), 75-87...
Sturm, Bob L.
A fundamental problem with nearly all work in music genre recognition (MGR)is that evaluation lacks validity with respect to the principal goals of MGR. This problem also occurs in the evaluation of music emotion recognition (MER). Standard approaches to evaluation, though easy to implement, do...... not reliably differentiate between recognizing genre or emotion from music, or by virtue of confounding factors in signals (e.g., equalization). We demonstrate such problems for evaluating an MER system, and conclude with recommendations....
Suzanne R. Jongman
Full Text Available Sustained attention has previously been shown as a requirement for language production. However, this is mostly evident for difficult conditions, such as a dual-task situation. The current study provides corroborating evidence that this relationship holds even for simple picture naming. Sustained attention ability, indexed both by participants’ reaction times and individuals’ hit rate (the proportion of correctly detected targets on a digit discrimination task, correlated with picture naming latencies. Individuals with poor sustained attention were consistently slower and their RT distributions were more positively skewed when naming pictures compared to individuals with better sustained attention. Additionally, the need to sustain attention was manipulated by changing the speed of stimulus presentation. Research has suggested that fast event rates tax sustained attention resources to a larger degree than slow event rates. However, in this study the fast event rate did not result in increased difficulty, neither for the picture naming task nor for the sustained attention task. Instead, the results point to a speed-accuracy trade-off in the sustained attention task (lower accuracy but faster responses in the fast than in the slow event rate, and to a benefit for faster rates in the picture naming task (shorter naming latencies with no difference in accuracy. Performance on both tasks was largely comparable, supporting previous findings that sustained attention is called upon during language production.
This paper aims to give an account of the Latin naming of the different types of teeth by reviewing relevant historical and contemporary literature. The paper presents etymologies of Latin or Greek teeth names, their development, variants and synonyms, and sometimes the names of their authors. The Greek names did not have the status of official terms, but the Latin terms for particular types of teeth gradually established themselves. Names for the incisors, canines and molars are Latin calques for the Greek ones (tomeis, kynodontes, mylai), dens serotinus is an indirect calque of the Greek name (odús) opsigonos, and the term pre-molar is created in the way which is now common in modern anatomical terminology, using the prefix prae- = pre and the adjective molaris. The Latin terms dentes canini and dentes molares occur in the Classical Latin literature, the term (dentes) incisivi is found first time in medieval literature, and the terms dentes premolares and dens serotinus are modern-age ones.
Cargonja, Hrvoje; Daković, Branko; Alegro, Antun
The main purpose of this paper is to present some general observations, regularities and insights into a complex relationship between plants and people through symbolic systems like geographical names on the territory of Croatia. The basic sources of data for this research were maps from atlas of Croatia of the scale 1:100000. Five groups of maps or areas were selected in order to represent main Croatian phytogeographic regions. A selection of toponyms from each of the map was made in which the name for a plant in Croatian language was recognized (phytotoponyms). Results showed that of all plant names recognized in geographical names the most represented are trees, and among them birch and oak the most. Furthermore, an attempt was made to explain the presence of the most represented plant species in the phytotoponyms in the light of general phytogeographical and sociocultural differences and similarities of comparing areas. The findings confirm an expectation that the genera of climazonal vegetation of particular area are the most represented among the phytotoponyms. Nevertheless, there are ample examples where representation of a plant name in the names of human environment can only be ascribed to ethno-linguistic and socio-cultural motives. Despite the reductionist character of applied methodology, this research also points out some advantages of this approach for ethnobotanic and ethnolinguistic studies of greater areas of human environment.
Clintin P. Davis-Stober
Full Text Available The Recognition Heuristic (Gigerenzer and Goldstein, 1996; Goldstein and Gigerenzer, 2002 makes the counter-intuitive prediction that a decision maker utilizing less information may do as well as, or outperform, an idealized decision maker utilizing more information. We lay a theoretical foundation for the use of single-variable heuristics such as the Recognition Heuristic as an optimal decision strategy within a linear modeling framework. We identify conditions under which over-weighting a single predictor is a mini-max strategy among a class of a priori chosen weights based on decision heuristics with respect to a measure of statistical lack of fit we call ``risk''. These strategies, in turn, outperform standard multiple regression as long as the amount of data available is limited. We also show that, under related conditions, weighting only one variable and ignoring all others produces the same risk as ignoring the single variable and weighting all others. This approach has the advantage of generalizing beyond the original environment of the Recognition Heuristic to situations with more than two choice options, binary or continuous representations of recognition, and to other single variable heuristics. We analyze the structure of data used in some prior recognition tasks and find that it matches the sufficient conditions for optimality in our results. Rather than being a poor or adequate substitute for a compensatory model, the Recognition Heuristic closely approximates an optimal strategy when a decision maker has finite data about the world.
... a burden hour estimate of 43.8 minutes for a manual or electronic submission. This rule does not... removing under France, the two French entities: ``Laurence Mattiucci, 8 Rue de la Bruyere, 31120 Pinsaguel...
Lana H. Harmse
Full Text Available The strategies and policies of multinational entities (MNEscentre onthe focalgoal of any company, which isto maximise profits and shareholder wealth.Management aims for an optimum ownership structure by implementing variousstrategies. One of these strategies is the debt-to-equity ratio (the capital structure.Previous studiesconductedonvariouscountries’locally-listed entities confirmthat the capital structure of an entity has an impact on the value ofthat entity.Thisthen raisesan interesting question as to whetherthecapital structures ofthetop 40Johannesburg Stock Exchange (JSE-listedentitiesare similar to those ofthe top40 global MNEs.Based on market capitalisation on 31December2014, this studysought to compare the capital structures,using the debt-to-equity ratio,ofthe top40JSE-listed entitieswith those ofthe top 40globalMNEs on the Fortune 500list.Independent t-testswere performed on thedebt-to-equity ratios of thetop 40JSE-listed entities and the top 40globalMNEsas a group.Both independent t-tests and the Mann-Whitney testswereperformedonthedebt-to-equity ratiosofapplicable entities of the group divided into threeselectedindustries. The resultsof theindependent t-testindicateastatistical andpractically significant differencebetween the top 40 JSE-listed entities and the top 40 global MNEs’ capitalstructures.The resultsof the Mann-Whitney testsindicatethat if the financialindustry is excluded,there isnostatistical orpractically significant differencebetween the capital structures of the top 40 JSE-listed entities and the top 40MNEs.However, based on the effect size there is a practical visible difference.
Full Text Available The concept of the names of God and their role in the creation and existence of the world, as well as the practice of their veneration constitute an essential part of Judaism in general, and are elaborated in detail in Jewish mysticism. In Kabbalah, an idea of the creative power of the Tetragrammaton (the ineff able four-letter Name and other names occupies an especially prominent place. It is based on the idea of linguistic mysticism conveyed in the Jewish mystical treatise Sefer Yetzirah (“Book of Creation”, 3–6 centuries AD.. According to this ancient text, the creation of the world is seen as a linguistic process in which the Hebrew letters are thought of as both the creative forces and the material of which the world is created. The article analyses the main features of the symbolism of the divine names in medieval Kabbalah. We have identifi ed two main areas in the understanding of the divine names, peculiar to the two main schools of classical medieval Kabbalah — theosophical (theurgic and ecstatic (prophetic. The ideas of these schools are considered according to the works of two prominent kabbalists of the 13th c. — Joseph Gikatilla and Abraham Abulafi a. In the fi rst of these schools, knowing the names of God leads to the actualization of the latent mystical forces and results in a transformation and reintegration of our world and the world of the divine. This process, in turn, is understood as having an eschatological and messianic signifi cance. Abraham Abulafi a elaborated sophisticated practices of combining the divine names aimed at transforming the adept’s consciousness, its purifi cation and development of special mental abilities. At the end of the mystical path the practitioner achieves the state of prophecy and eventually merges with the Divine.
Santanam, Lakshmi [Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO (United States); Hurkmans, Coen [Department of Radiation Oncology, Catharina Hospital, Eindhoven (Netherlands); Mutic, Sasa [Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO (United States); Vliet-Vroegindeweij, Corine van [Department of Radiation Oncology, Thomas Jefferson University Hospital, Philadelphia, PA (United States); Brame, Scott; Straube, William [Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO (United States); Galvin, James [Department of Radiation Oncology, Thomas Jefferson University Hospital, Philadelphia, PA (United States); Tripuraneni, Prabhakar [Department of Radiation Oncology, Scripps Clinic, LaJolla, CA (United States); Michalski, Jeff [Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO (United States); Bosch, Walter, E-mail: firstname.lastname@example.org [Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO (United States); Advanced Technology Consortium, Image-guided Therapy QA Center, St. Louis, MO (United States)
Purpose: The aim of this study was to report on the development of a standardized target and organ-at-risk naming convention for use in radiation therapy and to present the nomenclature for structure naming for interinstitutional data sharing, clinical trial repositories, integrated multi-institutional collaborative databases, and quality control centers. This taxonomy should also enable improved plan benchmarking between clinical institutions and vendors and facilitation of automated treatment plan quality control. Materials and Methods: The Advanced Technology Consortium, Washington University in St. Louis, Radiation Therapy Oncology Group, Dutch Radiation Oncology Society, and the Clinical Trials RT QA Harmonization Group collaborated in creating this new naming convention. The International Commission on Radiation Units and Measurements guidelines have been used to create standardized nomenclature for target volumes (clinical target volume, internal target volume, planning target volume, etc.), organs at risk, and planning organ-at-risk volumes in radiation therapy. The nomenclature also includes rules for specifying laterality and margins for various structures. The naming rules distinguish tumor and nodal planning target volumes, with correspondence to their respective tumor/nodal clinical target volumes. It also provides rules for basic structure naming, as well as an option for more detailed names. Names of nonstandard structures used mainly for plan optimization or evaluation (rings, islands of dose avoidance, islands where additional dose is needed [dose painting]) are identified separately. Results: In addition to its use in 16 ongoing Radiation Therapy Oncology Group advanced technology clinical trial protocols and several new European Organization for Research and Treatment of Cancer protocols, a pilot version of this naming convention has been evaluated using patient data sets with varying treatment sites. All structures in these data sets were
Santanam, Lakshmi; Hurkmans, Coen; Mutic, Sasa; Vliet-Vroegindeweij, Corine van; Brame, Scott; Straube, William; Galvin, James; Tripuraneni, Prabhakar; Michalski, Jeff; Bosch, Walter
Purpose: The aim of this study was to report on the development of a standardized target and organ-at-risk naming convention for use in radiation therapy and to present the nomenclature for structure naming for interinstitutional data sharing, clinical trial repositories, integrated multi-institutional collaborative databases, and quality control centers. This taxonomy should also enable improved plan benchmarking between clinical institutions and vendors and facilitation of automated treatment plan quality control. Materials and Methods: The Advanced Technology Consortium, Washington University in St. Louis, Radiation Therapy Oncology Group, Dutch Radiation Oncology Society, and the Clinical Trials RT QA Harmonization Group collaborated in creating this new naming convention. The International Commission on Radiation Units and Measurements guidelines have been used to create standardized nomenclature for target volumes (clinical target volume, internal target volume, planning target volume, etc.), organs at risk, and planning organ-at-risk volumes in radiation therapy. The nomenclature also includes rules for specifying laterality and margins for various structures. The naming rules distinguish tumor and nodal planning target volumes, with correspondence to their respective tumor/nodal clinical target volumes. It also provides rules for basic structure naming, as well as an option for more detailed names. Names of nonstandard structures used mainly for plan optimization or evaluation (rings, islands of dose avoidance, islands where additional dose is needed [dose painting]) are identified separately. Results: In addition to its use in 16 ongoing Radiation Therapy Oncology Group advanced technology clinical trial protocols and several new European Organization for Research and Treatment of Cancer protocols, a pilot version of this naming convention has been evaluated using patient data sets with varying treatment sites. All structures in these data sets were
Santanam, Lakshmi; Hurkmans, Coen; Mutic, Sasa; van Vliet-Vroegindeweij, Corine; Brame, Scott; Straube, William; Galvin, James; Tripuraneni, Prabhakar; Michalski, Jeff; Bosch, Walter
The aim of this study was to report on the development of a standardized target and organ-at-risk naming convention for use in radiation therapy and to present the nomenclature for structure naming for interinstitutional data sharing, clinical trial repositories, integrated multi-institutional collaborative databases, and quality control centers. This taxonomy should also enable improved plan benchmarking between clinical institutions and vendors and facilitation of automated treatment plan quality control. The Advanced Technology Consortium, Washington University in St. Louis, Radiation Therapy Oncology Group, Dutch Radiation Oncology Society, and the Clinical Trials RT QA Harmonization Group collaborated in creating this new naming convention. The International Commission on Radiation Units and Measurements guidelines have been used to create standardized nomenclature for target volumes (clinical target volume, internal target volume, planning target volume, etc.), organs at risk, and planning organ-at-risk volumes in radiation therapy. The nomenclature also includes rules for specifying laterality and margins for various structures. The naming rules distinguish tumor and nodal planning target volumes, with correspondence to their respective tumor/nodal clinical target volumes. It also provides rules for basic structure naming, as well as an option for more detailed names. Names of nonstandard structures used mainly for plan optimization or evaluation (rings, islands of dose avoidance, islands where additional dose is needed [dose painting]) are identified separately. In addition to its use in 16 ongoing Radiation Therapy Oncology Group advanced technology clinical trial protocols and several new European Organization for Research and Treatment of Cancer protocols, a pilot version of this naming convention has been evaluated using patient data sets with varying treatment sites. All structures in these data sets were satisfactorily identified using this
Gorbalenya Alexander E
Full Text Available Abstract Background A growing diversity of biological data is tagged with unique identifiers (UIDs associated with polynucleotides and proteins to ensure efficient computer-mediated data storage, maintenance, and processing. These identifiers, which are not informative for most people, are often substituted by biologically meaningful names in various presentations to facilitate utilization and dissemination of sequence-based knowledge. This substitution is commonly done manually that may be a tedious exercise prone to mistakes and omissions. Results Here we introduce SNAD (Sequence Name Annotation-based Designer that mediates automatic conversion of sequence UIDs (associated with multiple alignment or phylogenetic tree, or supplied as plain text list into biologically meaningful names and acronyms. This conversion is directed by precompiled or user-defined templates that exploit wealth of annotation available in cognate entries of external databases. Using examples, we demonstrate how this tool can be used to generate names for practical purposes, particularly in virology. Conclusion A tool for controllable annotation-based conversion of sequence UIDs into biologically meaningful names and acronyms has been developed and placed into service, fostering links between quality of sequence annotation, and efficiency of communication and knowledge dissemination among researchers.
No milestone has proven as elusive as the always-approaching "year of the LAN," but the "year of the scanner" might claim the silver medal. Desktop scanners have been around almost as long as personal computers. And everyone thinks they are used for obvious desktop-publishing and business tasks like scanning business documents, magazine articles and other pages, and translating those words into files your computer understands. But, until now, the reality fell far short of the promise. Because it's true that scanners deliver an accurate image of the page to your computer, but the software to recognize this text has been woefully disappointing. Old optical-character recognition (OCR) software recognized such a limited range of pages as to be virtually useless to real users. (For example, one OCR vendor specified 12-point Courier font from an IBM Selectric typewriter: the same font in 10-point, or from a Diablo printer, was unrecognizable!) Computer dealers have told me the chasm between OCR expectations and reality is so broad and deep that nine out of ten prospects leave their stores in disgust when they learn the limitations. And this is a very important, very unfortunate gap. Because the promise of recognition -- what people want it to do -- carries with it tremendous improvements in our productivity and ability to get tons of written documents into our computers where we can do real work with it. The good news is that a revolutionary new development effort has led to the new technology of "page recognition," which actually does deliver the promise we've always wanted from OCR. I'm sure every reader appreciates the breakthrough represented by the laser printer and page-makeup software, a combination so powerful it created new reasons for buying a computer. A similar breakthrough is happening right now in page recognition: the Macintosh (and, I must admit, other personal computers) equipped with a moderately priced scanner and OmniPage software (from Caere
Full Text Available The present study tries to investigate the people’s attitude to the use of English words in TV commercials, brand-naming and shop signs in Iran and specifically in Tehran where due to the fact that it is the capital, more English might be used for the sake of foreigners. The widespread use of English shop signs and English brand names for recently produced goodsdrove the researchers to investigate peoples’ attitude as consumers from two aspects of age and education. To reach the research goal, a questionnaire was devised and distributed to 100 people at random selection probing their attitudes while considering two factors of age and education. The result of the research will mostly benefit sociolinguists and business marketers.Keywords: age, education, advertising, brand-naming, shop signs, globalization
Maria V. Akhmetova
Full Text Available The paper deals with the Russian language informal city names (oikonyms motivated by other toponyms (with reference to Russia and the CIS. The author shows that the motivating proper name can replace the city name (e. g. Глазго < Glasgow ‘Glazov’ or contaminate with it (e. g. Экибостон < Ekibastuz + Boston, the “alien” onym being attracted to construct an informal oikonym due to its phonetic similarity or, on occasion, due to an affinity, either real or imaginary, between the two settlements. The author argues that the phonetic motivation is more characteristic for the modern urban tradition, than for popular dialects.
Jørgensen, Anker Helms
on the effect of learning the students' names are sparse. Against this background, this paper reports on a method for learning all the students' names and two studies of the effect, based on my use of the method in my teaching. The two survey studies were carried in 2011 and in 2014. A survey was in the first...... sent to 50 students and I received 18 answers (38%). The second survey was sent to 86 students and I received 48 answers (56%). These figures provides a good indication.The answers showed a marked positive effect: the students felt welcome, accepted and respected; the learning environment was more......A key factor in successful teaching and learning is the relationship between the students and the teacher. A simple approach nurturing this relationship is learning the students' names. This is often suggested in the literature, but seems rarely practised. Substantial reports in the literature...
Zhang, Fan; Hu, Chen; Yin, Qiang; Li, Wei; Li, Hengchao; Hong, Wen
The outstanding pattern recognition performance of deep learning brings new vitality to the synthetic aperture radar (SAR) automatic target recognition (ATR). However, there is a limitation in current deep learning based ATR solution that each learning process only handle one SAR image, namely learning the static scattering information, while missing the space-varying information. It is obvious that multi-aspect joint recognition introduced space-varying scattering information should improve ...
Schneck, Lisa H
Take a large dose of innovation, add a dollop of shrewd business sense and a heaping measure of community awareness, mix well, and you get the marketing success enjoyed by San Dimas Medical Group Inc. of Bakersfield, Calif. The practice has established wide name recognition, become a community benefactor and positioned itself as the practice that local women want to visit for a wide range of health concerns.
Full Text Available Pictorial stimuli are commonly used by scientists to explore central processes; including memory, attention, and language. Pictures that have been collected and put into sets for these purposes often contain visual ambiguities that lead to name disagreement amongst subjects. In the present work, we propose new norms which reflect these sources of name disagreement, and we apply this method to two sets of pictures: the Snodgrass and Vanderwart (S&V set and the Bank of Standardized Stimuli (BOSS. Naming responses of the presented pictures were classified within response categories based on whether they were correct, incorrect, or equivocal. To characterize the naming strategy where an alternative name was being used, responses were further divided into different sub-categories that reflected various sources of name disagreement. Naming strategies were also compared across the two sets of stimuli. Results showed that the pictures of the S&V set and the BOSS were more likely to elicit alternative specific and equivocal names, respectively. It was also found that the use of incorrect names was not significantly different across stimulus sets but that errors were more likely caused by visual ambiguity in the S&V set and by a misuse of names in the BOSS. Norms for name disagreement presented in this paper are useful for subsequent research for their categorization and elucidation of name disagreement that occurs when choosing visual stimuli from one or both stimulus sets. The sources of disagreement should be examined carefully as they help to provide an explanation of errors and inconsistencies of many concepts during picture naming tasks.
Tiré du site Internet de Onestar Press: " A selection of 150 cities within Slavs and Tatars’ Eurasian remit, Love Me, Love Me Not : Changed Names plucks the petals off the past to reveal an impossibly thorny stem : a lineage of names changed by the course of the region’s grueling history. Some cities divulge a resolutely Asian heritage, so often forgotten in today’s quest, at all costs, for European integration. Some vacillate almost painfully, and others with numbing repetition, entire metro...
The Experimental Physics and Industrial Control System (EPICS) uses a broadcast method to locate resources and controls distributed across control servers. There are many advantages offered by using a centrally managed name resolution method, in which resources are located using a repository. The suitability of DCE Directory Service as a name resolution method is explored, and results from a study involving DCE are discussed. An alternative nameserver method developed and in use at the Thomas Jefferson national Accelerator Facility (Jefferson Lab) is described and results of integrating this new method with existing EPICS utilities presented. The various methods discussed in the paper are compared
Why the name "Erasmus" for an hospital ? Apart for local circumstances, there are far more obvious reasons for this choice. Erasmus was in close contact with the medical world. Indeed, he suffered all his life from more or less severe diseases and had therefore frequent contacts with doctors. Also, the ideas he was defending stood for the principle of free inquiry before its time. For these various reasons giving the name « Erasmus » to the university clinics of the Free University of Brussels (ULB) was a judicious choise.
Fernando Maciel Ramos
Full Text Available In this study, the objective was to analyze the quality of accounting information of Brazilian non-profit organizations. As for the objective the research is characterized as a descriptive one; as for the research strategy it is documental and as for the approach it is quantitative. In order to measure the quality of the accounting information of the analyzed entities, it was prepared a checklist starting from the accounting rules that guide the accounting practice of the third sector entities made up of seven sections and 59 requisites, which enabled the construction of the Quality Index for Accounting Information. The data were analyzed through descriptive statistics (minimum, maximum, mean, standard deviation and the results indicated a low level of the accounting information quality reported by the analyzed entities, especially when compared to for-profit organizations. One comes to the conclusion, based on the findings, that the analyzed entities present a low level of quality as to the accounting information which may jeopardize the information usefulness reported by these entities users.
Plaks, Jason E; Chasteen, Alison L
The authors examined whether older adults' implicit theories regarding the modifiability of memory in particular (Studies 1 and 3) and abilities in general (Study 2) would predict memory performance. In Study 1, individual differences in older adults' endorsement of the "entity theory" (a belief that one's ability is fixed) or "incremental theory" (a belief that one's ability is malleable) of memory were measured using a version of the Implicit Theories Measure (Dweck, 1999). Memory performance was assessed with a free-recall task. Results indicated that the higher the endorsement of the incremental theory, the better the free recall. In Study 2, older and younger adults' theories were measured using a more general version of the Implicit Theories Measure that focused on the modifiability of abilities in general. Again, for older adults, the higher the incremental endorsement, the better the free recall. Moreover, as predicted, implicit theories did not predict younger adults' memory performance. In Study 3, participants read mock news articles reporting evidence in favor of either the entity or incremental theory. Those in the incremental condition outperformed those in the entity condition on reading span and free-recall tasks. These effects were mediated by pretask worry such that, for those in the entity condition, higher worry was associated with lower performance. Taken together, these studies suggest that variation in entity versus incremental endorsement represents a key predictor of older adults' memory performance. PsycINFO Database Record (c) 2013 APA, all rights reserved.
Full Text Available The difference between adjacent frames of human walking contains useful information for human gait identification. Based on the previous idea a silhouettes difference based human gait recognition method named as average gait differential image (AGDI is proposed in this paper. The AGDI is generated by the accumulation of the silhouettes difference between adjacent frames. The advantage of this method lies in that as a feature image it can preserve both the kinetic and static information of walking. Comparing to gait energy image (GEI, AGDI is more fit to representation the variation of silhouettes during walking. Two-dimensional principal component analysis (2DPCA is used to extract features from the AGDI. Experiments on CASIA dataset show that AGDI has better identification and verification performance than GEI. Comparing to PCA, 2DPCA is a more efficient and less memory storage consumption feature extraction method in gait based recognition.
Surinta, Olarik; Karaaba, Mahir F.; Schomaker, Lambert R.B.; Wiering, Marco A.
Abstract In this paper we propose to use local gradient feature descriptors, namely the scale invariant feature transform keypoint descriptor and the histogram of oriented gradients, for handwritten character recognition. The local gradient feature descriptors are used to extract feature vectors
Leoni, Guido; Tramontano, Anna
of the pairing should take into account the effect of the Argonaute protein (AGO), an essential catalyst of the recognition process. Therefore, we developed a strategy named MiREN for building and scoring three-dimensional models of the ternary complex formed
Johnson, Julene K; Chang, Chiung-Chih; Brambati, Simona M; Migliaccio, Raffaella; Gorno-Tempini, Maria Luisa; Miller, Bruce L; Janata, Petr
Objective To compare music recognition in patients with frontotemporal dementia, semantic dementia, Alzheimer disease, and controls and to evaluate the relationship between music recognition and brain volume. Background Recognition of familiar music depends on several levels of processing. There are few studies about how patients with dementia recognize familiar music. Methods Subjects were administered tasks that assess pitch and melody discrimination, detection of pitch errors in familiar melodies, and naming of familiar melodies. Results There were no group differences on pitch and melody discrimination tasks. However, patients with semantic dementia had considerable difficulty naming familiar melodies and also scored the lowest when asked to identify pitch errors in the same melodies. Naming familiar melodies, but not other music tasks, was strongly related to measures of semantic memory. Voxel-based morphometry analysis of brain MRI showed that difficulty in naming songs was associated with the bilateral temporal lobes and inferior frontal gyrus, whereas difficulty in identifying pitch errors in familiar melodies correlated with primarily the right temporal lobe. Conclusions The results support a view that the anterior temporal lobes play a role in familiar melody recognition, and that musical functions are affected differentially across forms of dementia. PMID:21617528
Johnson, Julene K; Chang, Chiung-Chih; Brambati, Simona M; Migliaccio, Raffaella; Gorno-Tempini, Maria Luisa; Miller, Bruce L; Janata, Petr
To compare music recognition in patients with frontotemporal dementia, semantic dementia, Alzheimer disease, and controls and to evaluate the relationship between music recognition and brain volume. Recognition of familiar music depends on several levels of processing. There are few studies about how patients with dementia recognize familiar music. Subjects were administered tasks that assess pitch and melody discrimination, detection of pitch errors in familiar melodies, and naming of familiar melodies. There were no group differences on pitch and melody discrimination tasks. However, patients with semantic dementia had considerable difficulty naming familiar melodies and also scored the lowest when asked to identify pitch errors in the same melodies. Naming familiar melodies, but not other music tasks, was strongly related to measures of semantic memory. Voxel-based morphometry analysis of brain magnetic resonance imaging showed that difficulty in naming songs was associated with the bilateral temporal lobes and inferior frontal gyrus, whereas difficulty in identifying pitch errors in familiar melodies correlated with primarily the right temporal lobe. The results support a view that the anterior temporal lobes play a role in familiar melody recognition, and that musical functions are affected differentially across forms of dementia.
Dror G. Feitelson
Full Text Available The services provided by digital libraries can be much improved by correctly identifying variants of the same name. For example, this will allow for better retrieval of all the works by a certain author. We focus on variants caused by abbreviations of first names, and show that significant achievements are possible by simple lexical analysis and comparison of names. This is done in two steps: first a pairwise matching of names is performed, and then these are used to find cliques of equivalent names. However, these steps can each be performed in a variety of ways. We therefore conduct an experimental analysis using two real datasets to find which approaches actually work well in practice. Interestingly, this depends on the size of the repository, as larger repositories may have many more similar names.
Jain, Lalit Prithviraj
Real-world tasks in computer vision, pattern recognition and machine learning often touch upon the open set recognition problem: multi-class recognition with incomplete knowledge of the world and many unknown inputs. An obvious way to approach such problems is to develop a recognition system that thresholds probabilities to reject unknown classes. Traditional rejection techniques are not about the unknown; they are about the uncertain boundary and rejection around that boundary. Thus traditional techniques only represent the "known unknowns". However, a proper open set recognition algorithm is needed to reduce the risk from the "unknown unknowns". This dissertation examines this concept and finds existing probabilistic multi-class recognition approaches are ineffective for true open set recognition. We hypothesize the cause is due to weak adhoc assumptions combined with closed-world assumptions made by existing calibration techniques. Intuitively, if we could accurately model just the positive data for any known class without overfitting, we could reject the large set of unknown classes even under this assumption of incomplete class knowledge. For this, we formulate the problem as one of modeling positive training data by invoking statistical extreme value theory (EVT) near the decision boundary of positive data with respect to negative data. We provide a new algorithm called the PI-SVM for estimating the unnormalized posterior probability of class inclusion. This dissertation also introduces a new open set recognition model called Compact Abating Probability (CAP), where the probability of class membership decreases in value (abates) as points move from known data toward open space. We show that CAP models improve open set recognition for multiple algorithms. Leveraging the CAP formulation, we go on to describe the novel Weibull-calibrated SVM (W-SVM) algorithm, which combines the useful properties of statistical EVT for score calibration with one-class and binary
В. М. Меженський
Full Text Available Purpose. To analyse the practice of transliteration of the Ukrainian cultivar names and rendering foreign names by means of the Ukrainian language, as well as special aspects of cultivar names spelling in special literature. Results. Cultivar names as a special category require preservation of primary graphics or sound type in the other language. This can be achieved by direct inclusion of the original name to the Ukrainian text or by practical transcribing, but not by transliteration or translation. Otherwise, Ukrainian names should be transliterated for inclusion to the texts in Latin characters. Transcription/transliteration in both directions is performed from the source language, though, as practice shows, in some Ukrainian publications the Russian is wrongly used as an intermediary language. Some national scientific publications ignore the recommendations of the International Code of Nomenclature for Cultivated Plants that is not conducive to the success of scientific communication in the globalized world. Conclusions. The foreign names of plant varieties should be entered into the Ukrainian text keeping the original spelling or by means of practical transcription. The loan of foreign names is performed by transcribing directly from the source language; if the language doesn’t have the Latin alphabet, Latinized name transcription is acceptable. Recommendations of the International Code of Nomenclature for Cultivated Plants that concern graphic highlighting of the cultivar names in the text enclosing them in single quotation marks and writing each word of a cultivar name with a capital letter should necessarily be applied in the foreign-language publications and extended to the Ukrainian special literature, at least, in terms of the use of single quotation marks. Ukrainian names should be transliterated only in accordance with the regulations.
Gegg-Harrison, Whitney M; Tanenhaus, Michael K
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.
Greenslade, Thomas B., Jr.
My academic ancestors in physics have called on me once more to tell you about the apparatus that they devised, and that many of you have used in your demonstrations and labs. This article is about apparatus named after François Arago, Heinrich Helmholtz, Leon Foucault, and James Watt.
Benitez, Viridiana L.; Smith, Linda B.
Expectancy-based localized attention has been shown to promote the formation and retrieval of multisensory memories in adults. Three experiments show that these processes also characterize attention and learning in 16- to 18-month old infants and, moreover, that these processes may play a critical role in supporting early object name learning. The…
Casalicchio, E.; Shen, Xuemin; Caselli, M.; Coletta, A.
The Internet is a worldwide distributed critical infrastructure, and it is composed of many vital components. While IP routing is the most important service, today the Domain Name System can be classified as the second most important, and has been defined as a critical infrastructure as well. DNS
Lubell, Joshua [National Institute of Standards and Technology (NIST); Kulvatunyou, Boonserm [ORNL; Morris, Katherine [National Institute of Standards and Technology (NIST); Harvey, Betty [Electronic Commerce Connection, Inc.
We are building a methodology and tool kit for encoding XML schema Naming and Design Rules (NDRs) in a computer-interpretable fashion, enabling automated rule enforcement and improving schema quality. Through our experience implementing rules from various NDR specifications, we discuss some issues and offer practical guidance to organizations grappling with NDR development.
genus name of Gyps for Gyps vulgaris [= G.fulvus], which he ... Appendix to this note my translation of Perrault's article; curiously he ... My translation of Mr. Perrault's article. ANATOMICAL DESCRIPTION OF. TWO GRIFONS. The description that previous. Authors made of the Grifon does not fit any known animal: besides the.
Decker, Scott L.; Roberts, Alycia M.; Englund, Julia A.
Deficits in rapid automatized naming (RAN) have been found to be a sensitive cognitive marker for children with dyslexia. However, there is a lack of consensus regarding the construct validity and theoretical neuro-cognitive processes involved in RAN. Additionally, most studies investigating RAN include a narrow range of cognitive measures. The…
Knapp, Arthur A.
The identification of administrative authorities and the development of associated procedures for registering and accessing names and addresses of communications data systems are considered in this paper. It is noted that, for data communications systems using standards based on the Open Systems Interconnection (OSI) Reference Model specified by…
Spatial Planning: What's in a Name? Andreas Faludi, University of Nijmegen Spatial planning is Euro-English and means different things to different people. In the UK it now carries the connotation of 'Modernising Planning', taking it beyond land-use management. In the EU context ,too, regulatory and
Willburger, Edith; Fussenegger, Barbara; Moll, Kristina; Wood, Guilherme; Landerl, Karin
In four carefully selected samples of 8- to 10-year old children with dyslexia (but age adequate arithmetic skills), dyscalculia (but age adequate reading skills), dyslexia/dyscalculia and controls a domain-general deficit in rapid automatized naming (RAN) was found for both dyslexia groups. Dyscalculic children exhibited a domain-specific deficit…
U.S. Representative Judy Biggert has been named Chairman of the Energy Subcommittee of the House Science Committee, a key panel with jurisdiction over the federal government's civilian energy and science research activities, including the work done at Argonne and Fermilab (1 page).
Following the replacement of the PS, SL and LHC Divisions by the AB and AT Divisions, the Auditoria are also changing their names. PS Auditorium is renamed AB Meyrin SL Auditorium is renamed AB Prévessin LHC Auditorium is renamed AT
Full Text Available This research paper deals with the analysis of performances of economic entities from the construction sector from Romania. The necessary data for preparation and analysis up through dashboard of the economic entity are provided by managerial accounting through Target Costing method. The way of implementing and observing of stages which are completed in managerial accounting through Target Costing method are also presented in the paper based on the existing literature. For data analysis it was used a questionnaire based on three questions whose results were analyzed and which formed the basis of our entire course of scientific approach. The paper ends with the authors' conclusions about the performance analysis of economic entities in a construction project using dashboard showing the benefits of its long-term decisions.
Tamara Rodríguez Sánchez
Full Text Available The direction of the country as part of strengthening entities management and the informatization of Cuban society, presented the need to create a System of Enterprise Resource Planning (ERP, which would be able to computerize management processes of business and budgeted entities on national scale. It is in this way that since July 2008 CEDRUX product was developed composed by 15 subsystems. It will constitute the core on which new solutions will be developed that will extend its functionalities in a constantly way, including new entities management processes and allowing constant updating. In its first operational phase that will be in this very year 2011, Cedrux will only integrate 9 subsystems that will answer the economic needs of any organization.
Genovese, Angelo; Scotti, Fabio
This book examines the context, motivation and current status of biometric systems based on the palmprint, with a specific focus on touchless and less-constrained systems. It covers new technologies in this rapidly evolving field and is one of the first comprehensive books on palmprint recognition systems.It discusses the research literature and the most relevant industrial applications of palmprint biometrics, including the low-cost solutions based on webcams. The steps of biometric recognition are described in detail, including acquisition setups, algorithms, and evaluation procedures. Const
Shaira G. Castillo
Full Text Available Name is important in knowing someone’s identity. By a person’s name someone can know his or her character. It is also possible that they bear a particular name because of their background and other factors that can lead to something important. This study aimed to find out the associative meanings of the most common Filipino male and female names among the Polytechnic University of the Philippines-Sta. Mesa students. Different factors such as character traits, physical appearance, and skills/talents were considered in determining meanings of the names. The study used quantitative and qualitative research approach, specifically the descriptive method, to analyze the gathered data. A selfadministered survey was distributed to 400 randomly selected respondents. General findings revealed that the respondents associated the most common Filipino male names in the same way regarding character traits and skills/talents. However, they have different associations to the male names in terms of physical appearance. On the other hand, the respondents associated the most common Filipino female names into similar character traits and physical appearance but associated them with different skills/talents. Results also revealed that the most common factors that influence the respondents’ associated meanings were relationships, experiences, popularity, and perception. The results imply that while young Filipinos associate similar character traits, physical appearances and skills to common Filipino names, they have different reasons in giving meanings to them.
... corporate name. When there is a change in the corporate name of an importer of processed tobacco, the... 27 Alcohol, Tobacco Products and Firearms 2 2010-04-01 2010-04-01 false Change in name. 41.251... name. (a) Change in individual name. When there is a change in the name of an individual operating...
Avanesyan, Marina O.
Full Text Available The cognitive processing of metaphor creation has been insufficiently investigated. Creating metaphors requires the ability to work in a fantastic, impossible context, using symbolic and associative means to express oneís thoughts. It has been shown recently that intelligence plays an important role in the creation of metaphors, but it is not the main factor in determining their success. The present research explores the roles of conceptual abilities, categorical abilities, and flexibility (as the factor creativity in metaphor creation. Participants (n = 38 young adults were asked to come up with names for three photos, without any special instruction to create metaphors. To classify conceptual abilities we used ìConceptual Synthesisî (M. A. Kholodnaya, 2012; to measure categorical ability we used the subtest ìSimilaritiesî (D. Wechsler, 1955; to identify the role of creativity in the metaphor process we used the test of ìUnusual Usesî (J. P. Guilford, 1960. The creation of complex metaphorical names was associated with a tendency to create highly organized mental structures and to retain them within the general semantic context (r = 0.344, p < 0.05. The tendency to create single-level situational connections was associated with a tendency to give specific names to photos (r = 0.475, p < 0.01. Photographic images proved out to be fruitful stimuli to investigate the processing of visual information. We developed a preliminary classification of names: 1 concrete; 2 situational; 3 abstract; 4 metaphorical (M1 and M2. We identified two types of metaphorical names — perceptual and complex metaphors — that relate to conceptual abilities in different ways. It is inaccurate to speak about a general concept of ìmetaphorical abilitiesî; we should differentiate the psychological mechanisms that lie at their base.
We use the event-entity-relationship model (EVER) to illustrate the use of entity-based modeling languages for conceptual schema design in data warehouse environments. EVER is a general-purpose information modeling language that supports the specification of both general schema structures and multi......-dimensional schemes that are customized to serve specific information needs. EVER is based on an event concept that is very well suited for multi-dimensional modeling because measurement data often represent events in multi-dimensional databases...
Okulov, A. Yu
The previously unknown property of the optical speckle pattern reported. The interference of a speckle with the counterpropagating phase-conjugated (PC) speckle wave produces a randomly distributed ensemble of a twisted entities (ropes) surrounding optical vortex lines. These entities appear in a wide range of a randomly chosen speckle parameters inside the phase-conjugating mirrors regardless to an internal physical mechanism of the wave-front reversal. These numerically generated interference patterns are relevant to the Brillouin PC mirrors and to a four-wave mixing PC mirrors based upon laser trapped ultracold atomic cloud.
Arora, Abhishek J; Arora, Richa
Ossification of the Achilles tendon is a rare clinical entity comprising of one or more segments of variable sized ossified masses in the fibrocartilaginous substance of the tendon. The etiology of ossification of the Achilles tendon is multifactorial with recurrent trauma and surgery comprising major predisposing factors, with others being metabolic, systemic, and infectious diseases. The possibility of a genetic predisposition towards this entity has also been raised, but has not yet been proven. We present a rare case of ossification of the bilateral Achilles tendons without any history of trauma or surgery in a 48-year-old female patient
Jensen, Christian D.
SECURE is a newly started IST project, which addresses secure collaboration among computational entities in emerging global computing systems. The properties of these systems introduce new security challenges that are not adequately addressed by existing security models and mechanisms. The scale ...... and uncertainty of this global computing environment invalidates existing security models. Instead, new security models have to be developed along with new security mechanisms that control access to protected resources.......SECURE is a newly started IST project, which addresses secure collaboration among computational entities in emerging global computing systems. The properties of these systems introduce new security challenges that are not adequately addressed by existing security models and mechanisms. The scale...
Friis-Christensen, Anders; Jensen, Christian Søndergaard
Multiple representation occurs when information about the same geographic entity is represented electronically more than once. This occurs frequently in practice, and it invariably results in the occurrence of inconsistencies among the different representations. We propose to resolve this situation...... by introducing a multiple representation management system (MRMS), the schema of which includes rules that specify how to identify representations of the same entity, rules that specify consistency requirements, and rules used to restore consistency when necessary. In this paper, we demonstrate by means...
Nikola T. STOYANOV
Full Text Available Environmental challenges and natural disasters demand new tools to support the performance of public institutions in emergency situations. This paper contributes to one of the fundamental objectives – inter–organizational collaboration, namely to the objective to share experience from the implementation of methods and tools and latest research results in support of management in the new security environment. In addition, it focuses on the cognitive and human aspects of collaboration. The goal of the paper is to investigate the impact of different factors and tools for understanding, explaining, and measuring collaborative capacity of public sector institutions’ control organism in emergency situations. The paper will present intermediate results from the research on “Inter–organizational collaborative capacity of public sector institutions’ control entities in emergency situations”. Based on a theoretical model, a draft instrument was developed (i.e., a questionnaire for data collection that can be used to 1 investigate the impact of different factors, 2 localize inefficiencies in public sector institutions’ control organs, and 3 determine measures to achieve better organizational effectiveness of public sector institutions’ control entities in emergency situations.
Frank N.M. Twisk
Full Text Available Many researchers consider chronic fatigue syndrome (CFS to be a synonym of Myalgic Encephalomyelitis (ME. However, the case criteria of ME and CFS define two distinct clinical entities. Although some patients will meet both case criteria, other patients can meet the diagnosis of ME and not fulfil the case criteria for CFS, while the diagnosis of CFS is largely insufficient to be qualified as a ME patient. ME is a neuromuscular disease with distinctive muscular symptoms, including prolonged muscle weakness after exertion, and neurological signs implicating cerebral dysfunction, including cognitive impairment and sensory symptoms. The only mandatory symptom of CFS is chronic fatigue. Chronic fatigue must be accompanied by at least four out of eight nonspecific symptoms: substantial impairment in short-term memory or concentration, a sore throat, tender lymph nodes, muscle pain, multijoint pain, a new type of headaches, unrefreshing sleep, and postexertional “malaise” lasting more than 24 h. So, regardless whether the name ME is appropriate or not, ME is not synonymous to CFS. That is not a matter of opinion, but a matter of definition. Due to the definitions of ME and CFS, “ME/CFS” does not exist and cannot be replaced by a new clinical entity (SEID: Systemic Exertion Intolerance Disease, as recently suggested.
Full Text Available Vascularity is a highly essential element that is required for the growth, development, and functioning of the body and variations in it can cause pathologies. It is one of the prime features of a proliferating lesion, where it aids in the growth of the lesion through its nutrition supply. Highly increased vascularity in a disease can itself affect the prognosis of the lesion, and in malignancies, it can induce tumor seeding and secondaries. Most of the pathologies including tumors, related to blood vessels, and vascularity are well established. There are some conditions, wherein altered vascularity is one of the prime components along with other diagnostic components of an established disease. In such cases, these lesions are diagnosed with special names, with varying biological behavior and prognosis in comparison to that of established entity. However, there still are few similar conditions whose nature is uncertain due to the rarity of the lesion and the insufficient scientific evidence which eludes the diagnostician. Here is the report of two cases of ameloblastoma, an established entity, with significant vascularity whose nature is indeterminate.
Alonso-Zarazaga, Miguel A; Fautin, Daphne Gail; Michel, Ellinor
The List of Available Names in Zoology (LAN) is an inventory of names with specific scope in time and content, presented and approved in parts, and constituted as a cumulative index of names available for use in zoological nomenclature. It was defined in Article 79 in the fourth edition of the International Code of Zoological Nomenclature. The LAN is likely to gain importance with the development of the online Official Registry for Zoological Nomenclature (ZooBank) as it is potentially a source of many nomenclaturally certified names. Article 79 describes the deliberative process for adding large numbers of names to the LAN simultaneously, detailing steps and chronology for submission of a candidate Part to the LAN and consideration of a candidate Part by the public and Commission, but it is largely mute about the contents of a candidate Part. It does make clear that a name within the scope of a Part but not on the LAN has no nomenclatural standing, even if it had previously been considered available, thereby preventing long-forgotten names from displacing accepted ones and the accumulation of nomina dubia. Thus, for taxa on the LAN, nomenclatural archaeology - the resurrecting of old unused names to replace by priority names in current usage - will not be worthwhile. Beyond that, it has been unclear if Article 79 is intended to document every available name known within the scope of the Part, or if its intention is to pare the inventory of available names within the scope of the Part. Consideration by the Commission and two committees to deal with the LAN have defined steps to implement Article 79 with the latter intent. Procedures for consideration of a candidate Part are defined in a manual, published as an appendix in this volume.
Whitney Marie Gegg-Harrison
Full Text Available In order to refer using a name, speakers must know that their addressee knows about the link between the name and the intended referent. In cases where speakers and addressees learned names together, speakers are adept at using names only when their addressee knows them. 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, could provide indirect evidence regarding knowledge of other names that could support generalizations used to update beliefs about CG. Using data explanation 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.
Wang, Chengxi; Yin, Xueyan; Yang, Lin; Gong, Chengrong; Zheng, Caixia; Yi, Yugen
Scene recognition is a significant topic in the field of computer vision. Most of the existing scene recognition models require a large amount of labeled training samples to achieve a good performance. However, labeling image manually is a time consuming task and often unrealistic in practice. In order to gain satisfying recognition results when labeled samples are insufficient, this paper proposed a scene recognition algorithm named Integrating Active Learning and Dictionary Leaning (IALDL). IALDL adopts projective dictionary pair learning (DPL) as classifier and introduces active learning mechanism into DPL for improving its performance. When constructing sampling criterion in active learning, IALDL considers both the uncertainty and representativeness as the sampling criteria to effectively select the useful unlabeled samples from a given sample set for expanding the training dataset. Experiment results on three standard databases demonstrate the feasibility and validity of the proposed IALDL.
Goltsev, Alexander; Gritsenko, Vladimir
In the paper, effective and simple features for image recognition (named LiRA-features) are investigated in the task of handwritten digit recognition. Two neural network classifiers are considered-a modified 3-layer perceptron LiRA and a modular assembly neural network. A method of feature selection is proposed that analyses connection weights formed in the preliminary learning process of a neural network classifier. In the experiments using the MNIST database of handwritten digits, the feature selection procedure allows reduction of feature number (from 60 000 to 7000) preserving comparable recognition capability while accelerating computations. Experimental comparison between the LiRA perceptron and the modular assembly neural network is accomplished, which shows that recognition capability of the modular assembly neural network is somewhat better. Copyright © 2011 Elsevier Ltd. All rights reserved.
This paper reviews clinical neuropsychological studies that have indicated that the recognition of a person's identity and the recognition of facial expressions are processed by different cortical and subcortical areas of the brain. The fusiform gyrus, especially the right fusiform gyrus, plays an important role in the recognition of identity. The superior temporal sulcus, amygdala, and medial frontal cortex play important roles in facial-expression recognition. Both facial recognition and facial-expression recognition are highly intellectual processes that involve several regions of the brain.
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Full Text Available States and international organizations have compiled lists of a great variety of terrorist groups. The current European Union list includes 44 entities. This study analyzes the underlying motives of the terrorist organizations named in this list. In order to understand the groups’ motivations and consequently be able to advise on methods of countering them with communication strategies, we employ a three-item typology provided by Waldmann (2001. The results show that only five of the 44 groups were religiously motivated to commit terrorism. Most of the groups (n=20 had nationalist-separatist motives, and 19 groups displayed social-revolutionary motives. Based on the respective motives, differing counter-terrorism strategies are proposed, e.g., developing rhetorical counter-narratives that address and reduce the groups’ motivational and identity-generating characteristics.
Converso, L.; Hocek, S.
This paper describes computer-based optical character recognition (OCR) systems, focusing on their components (the computer, the scanner, the OCR, and the output device); how the systems work; and features to consider in selecting a system. A list of 26 questions to ask to evaluate systems for potential purchase is included. (JDD)
Perepelitsa, VA; Sergienko, [No Value; Kochkarov, AM
Definitions of prefractal and fractal graphs are introduced, and they are used to formulate mathematical models in different fields of knowledge. The topicality of fractal-graph recognition from the point of view, of fundamental improvement in the efficiency of the solution of algorithmic problems
Pantic, Maja; Li, S.; Jain, A.
Facial expression recognition is a process performed by humans or computers, which consists of: 1. Locating faces in the scene (e.g., in an image; this step is also referred to as face detection), 2. Extracting facial features from the detected face region (e.g., detecting the shape of facial
Altbach, Philip G.
Although "naming rights" have proliferated in American higher education for the past several decades, the phenomenon has recently expanded to extraordinary lengths. In this area, academe fits right in with the larger culture, which has named everything from AutoZone Park to Gillette Stadium to the children's wing of your local hospital. Anything…
Chu, Feng-Yuan; Dai, Ying-Xiu; Liu, Jui-Yao; Chen, Tzeng-Ji; Chou, Li-Fang; Hwang, Shinn-Jang
In countries where the private clinics of physicians can be freely named, registering a clinic with a physician's name is one way to make patients familiar with the physician. No previous study had investigated how clinics make use of this method of personal branding. Therefore, the current study analyzed 10,847 private physician Western medicine clinics in Taiwan. Of those clinics, 31.0% ( n = 3363) were named with a physician's full name, 8.9% ( n = 960) with a surname, and 8.1% ( n = 884) with a given name. The proportion of clinics registered with a physician's name was lower in rural areas (37.3%) than in urban (48.5%) and suburban areas (49.2%), respectively. Among clinics with only one kind of specialist, a physician's name was used most frequently in clinics of obstetrics and gynecology (64.9%), otorhinolaryngology (64.1%), and dermatology (63.4%). In Taiwan, fewer than half of clinics used a physician's name as a brand. The sociocultural or strategic factors and real benefits of doing so could be further studied in the future for a better understanding of healthcare services management.
Bouchard, Patrice; Bousquet, Yves; Davies, Anthony E.; Alonso-Zarazaga, Miguel A.; Lawrence, John F.; Lyal, Chris H. C.; Newton, Alfred F.; Reid, Chris A. M.; Schmitt, Michael; Ślipiński, S. Adam; Smith, Andrew B. T.
Abstract We synthesize data on all known extant and fossil Coleoptera family-group names for the first time. A catalogue of 4887 family-group names (124 fossil, 4763 extant) based on 4707 distinct genera in Coleoptera is given. A total of 4492 names are available, 183 of which are permanently invalid because they are based on a preoccupied or a suppressed type genus. Names are listed in a classification framework. We recognize as valid 24 superfamilies, 211 families, 541 subfamilies, 1663 tribes and 740 subtribes. For each name, the original spelling, author, year of publication, page number, correct stem and type genus are included. The original spelling and availability of each name were checked from primary literature. A list of necessary changes due to Priority and Homonymy problems, and actions taken, is given. Current usage of names was conserved, whenever possible, to promote stability of the classification. New synonymies (family-group names followed by genus-group names): Agronomina Gistel, 1848 syn. nov. of Amarina Zimmermann, 1832 (Carabidae), Hylepnigalioini Gistel, 1856 syn. nov. of Melandryini Leach, 1815 (Melandryidae), Polycystophoridae Gistel, 1856 syn. nov. of Malachiinae Fleming, 1821 (Melyridae), Sclerasteinae Gistel, 1856 syn. nov. of Ptilininae Shuckard, 1839 (Ptinidae), Phloeonomini Ádám, 2001 syn. nov. of Omaliini MacLeay, 1825 (Staphylinidae), Sepedophilini Ádám, 2001 syn. nov. of Tachyporini MacLeay, 1825 (Staphylinidae), Phibalini Gistel, 1856 syn. nov. of Cteniopodini Solier, 1835 (Tenebrionidae); Agronoma Gistel 1848 (type species Carabus familiaris Duftschmid, 1812, designated herein) syn. nov. of Amara Bonelli, 1810 (Carabidae), Hylepnigalio Gistel, 1856 (type species Chrysomela caraboides Linnaeus, 1760, by monotypy) syn. nov. of Melandrya Fabricius, 1801 (Melandryidae), Polycystophorus Gistel, 1856 (type species Cantharis aeneus Linnaeus, 1758, designated herein) syn. nov. of Malachius Fabricius, 1775 (Melyridae), Sclerastes
Full Text Available We synthesize data on all known extant and fossil Coleoptera family-group names for the first time. A catalogue of 4887 family-group names (124 fossil, 4763 extant based on 4707 distinct genera in Coleoptera is given. A total of 4492 names are available, 183 of which are permanently invalid because they are based on a preoccupied or a suppressed type genus. Names are listed in a classification framework. We recognize as valid 24 superfamilies, 211 families, 541 subfamilies, 1663 tribes and 740 subtribes. For each name, the original spelling, author, year of publication, page number, correct stem and type genus are included. The original spelling and availability of each name were checked from primary literature. A list of necessary changes due to Priority and Homonymy problems, and actions taken, is given. Current usage of names was conserved, whenever possible, to promote stability of the classification. New synonymies (family-group names followed by genus-group names: Agronomina Gistel, 1848 syn. n. of Amarina Zimmermann, 1832 (Carabidae, Hylepnigalioini Gistel, 1856 syn. n. of Melandryini Leach, 1815 (Melandryidae, Polycystophoridae Gistel, 1856 syn. n. of Malachiinae Fleming, 1821 (Melyridae, Sclerasteinae Gistel, 1856 syn. n. of Ptilininae Shuckard, 1839 (Ptinidae, Phloeonomini Ádám, 2001 syn. n. of Omaliini MacLeay, 1825 (Staphylinidae, Sepedophilini Ádám, 2001 syn. n. of Tachyporini MacLeay, 1825 (Staphylinidae, Phibalini Gistel, 1856 syn. n. of Cteniopodini Solier, 1835 (Tenebrionidae; Agronoma Gistel 1848 (type species Carabus familiaris Duftschmid, 1812, designated herein syn. n. of Amara Bonelli, 1810 (Carabidae, Hylepnigalio Gistel, 1856 (type species Chrysomela caraboides Linnaeus, 1760, by monotypy syn. n. of Melandrya Fabricius, 1801 (Melandryidae, Polycystophorus Gistel, 1856 (type species Cantharis aeneus Linnaeus, 1758, designated herein syn. n. of Malachius Fabricius, 1775 (Melyridae, Sclerastes Gistel, 1856 (type species