Sample records for text categorization systems
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An Intelligent System For Arabic Text Categorization
Syiam, M.M.; Tolba, Mohamed F.; Fayed, Z.T.; Abdel-Wahab, Mohamed S.; Ghoniemy, Said A.; Habib, Mena Badieh
Text Categorization (classification) is the process of classifying documents into a predefined set of categories based on their content. In this paper, an intelligent Arabic text categorization system is presented. Machine learning algorithms are used in this system. Many algorithms for stemming and
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Experiments on Supervised Learning Algorithms for Text Categorization
Namburu, Setu Madhavi; Tu, Haiying; Luo, Jianhui; Pattipati, Krishna R.
2005-01-01
Modern information society is facing the challenge of handling massive volume of online documents, news, intelligence reports, and so on. How to use the information accurately and in a timely manner becomes a major concern in many areas. While the general information may also include images and voice, we focus on the categorization of text data in this paper. We provide a brief overview of the information processing flow for text categorization, and discuss two supervised learning algorithms, viz., support vector machines (SVM) and partial least squares (PLS), which have been successfully applied in other domains, e.g., fault diagnosis [9]. While SVM has been well explored for binary classification and was reported as an efficient algorithm for text categorization, PLS has not yet been applied to text categorization. Our experiments are conducted on three data sets: Reuter's- 21578 dataset about corporate mergers and data acquisitions (ACQ), WebKB and the 20-Newsgroups. Results show that the performance of PLS is comparable to SVM in text categorization. A major drawback of SVM for multi-class categorization is that it requires a voting scheme based on the results of pair-wise classification. PLS does not have this drawback and could be a better candidate for multi-class text categorization.
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A quick survey of text categorization algorithms
Directory of Open Access Journals (Sweden)
Dan MUNTEANU
2007-12-01
Full Text Available This paper contains an overview of basic formulations and approaches to text classification. This paper surveys the algorithms used in text categorization: handcrafted rules, decision trees, decision rules, on-line learning, linear classifier, Rocchio’s algorithm, k Nearest Neighbor (kNN, Support Vector Machines (SVM.
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Text Categorization on Hadith Sahih Al-Bukhari using Random Forest
Fauzan Afianto, Muhammad; Adiwijaya; Al-Faraby, Said
2018-03-01
Al-Hadith is a collection of words, deeds, provisions, and approvals of Rasulullah Shallallahu Alaihi wa Salam that becomes the second fundamental laws of Islam after Al-Qur’an. As a fundamental of Islam, Muslims must learn, memorize, and practice Al-Qur’an and Al-Hadith. One of venerable Imam which was also the narrator of Al-Hadith is Imam Bukhari. He spent over 16 years to compile about 2602 Hadith (without repetition) and over 7000 Hadith with repetition. Automatic text categorization is a task of developing software tools that able to classify text of hypertext document under pre-defined categories or subject code[1]. The algorithm that would be used is Random Forest, which is a development from Decision Tree. In this final project research, the author decided to make a system that able to categorize text document that contains Hadith that narrated by Imam Bukhari under several categories such as suggestion, prohibition, and information. As for the evaluation method, K-fold cross validation with F1-Score will be used and the result is 90%.
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Using WordNet to Complement Training Information in Text Categorization
Rodriguez, Manuel de Buenaga; Hidalgo, Jose Maria Gomez; Agudo, Belen Diaz
1997-01-01
Automatic Text Categorization (TC) is a complex and useful task for many natural language applications, and is usually performed through the use of a set of manually classified documents, a training collection. We suggest the utilization of additional resources like lexical databases to increase the amount of information that TC systems make use of, and thus, to improve their performance. Our approach integrates WordNet information with two training approaches through the Vector Space Model. ...
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Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification
National Research Council Canada - National Science Library
Han, Euihong; Karypis, George; Kumar, Vipin
1999-01-01
.... The authors present a nearest neighbor classification scheme for text categorization in which the importance of discriminating words is learned using mutual information and weight adjustment techniques...
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Stemming Malay Text and Its Application in Automatic Text Categorization
Yasukawa, Michiko; Lim, Hui Tian; Yokoo, Hidetoshi
In Malay language, there are no conjugations and declensions and affixes have important grammatical functions. In Malay, the same word may function as a noun, an adjective, an adverb, or, a verb, depending on its position in the sentence. Although extensively simple root words are used in informal conversations, it is essential to use the precise words in formal speech or written texts. In Malay, to make sentences clear, derivative words are used. Derivation is achieved mainly by the use of affixes. There are approximately a hundred possible derivative forms of a root word in written language of the educated Malay. Therefore, the composition of Malay words may be complicated. Although there are several types of stemming algorithms available for text processing in English and some other languages, they cannot be used to overcome the difficulties in Malay word stemming. Stemming is the process of reducing various words to their root forms in order to improve the effectiveness of text processing in information systems. It is essential to avoid both over-stemming and under-stemming errors. We have developed a new Malay stemmer (stemming algorithm) for removing inflectional and derivational affixes. Our stemmer uses a set of affix rules and two types of dictionaries: a root-word dictionary and a derivative-word dictionary. The use of set of rules is aimed at reducing the occurrence of under-stemming errors, while that of the dictionaries is believed to reduce the occurrence of over-stemming errors. We performed an experiment to evaluate the application of our stemmer in text mining software. For the experiment, text data used were actual web pages collected from the World Wide Web to demonstrate the effectiveness of our Malay stemming algorithm. The experimental results showed that our stemmer can effectively increase the precision of the extracted Boolean expressions for text categorization.
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Multiclass Boosting with Adaptive Group-Based kNN and Its Application in Text Categorization
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Lei La
2012-01-01
Full Text Available AdaBoost is an excellent committee-based tool for classification. However, its effectiveness and efficiency in multiclass categorization face the challenges from methods based on support vector machine (SVM, neural networks (NN, naïve Bayes, and k-nearest neighbor (kNN. This paper uses a novel multi-class AdaBoost algorithm to avoid reducing the multi-class classification problem to multiple two-class classification problems. This novel method is more effective. In addition, it keeps the accuracy advantage of existing AdaBoost. An adaptive group-based kNN method is proposed in this paper to build more accurate weak classifiers and in this way control the number of basis classifiers in an acceptable range. To further enhance the performance, weak classifiers are combined into a strong classifier through a double iterative weighted way and construct an adaptive group-based kNN boosting algorithm (AGkNN-AdaBoost. We implement AGkNN-AdaBoost in a Chinese text categorization system. Experimental results showed that the classification algorithm proposed in this paper has better performance both in precision and recall than many other text categorization methods including traditional AdaBoost. In addition, the processing speed is significantly enhanced than original AdaBoost and many other classic categorization algorithms.
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Categorizing Children: Automated Text Classification of CHILDES files
Opsomer, Rob; Knoth, Peter; Wiering, Marco; van Polen, Freek; Trapman, Jantine
2008-01-01
In this paper we present the application of machine learning text classification methods to two tasks: categorization of children’s speech in the CHILDES Database according to gender and age. Both tasks are binary. For age, we distinguish two age groups between the age of 1.9 and 3.0 years old. The
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A complete categorization of multiscale models of infectious disease systems.
Garira, Winston
2017-12-01
Modelling of infectious disease systems has entered a new era in which disease modellers are increasingly turning to multiscale modelling to extend traditional modelling frameworks into new application areas and to achieve higher levels of detail and accuracy in characterizing infectious disease systems. In this paper we present a categorization framework for categorizing multiscale models of infectious disease systems. The categorization framework consists of five integration frameworks and five criteria. We use the categorization framework to give a complete categorization of host-level immuno-epidemiological models (HL-IEMs). This categorization framework is also shown to be applicable in categorizing other types of multiscale models of infectious diseases beyond HL-IEMs through modifying the initial categorization framework presented in this study. Categorization of multiscale models of infectious disease systems in this way is useful in bringing some order to the discussion on the structure of these multiscale models.
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Computer security of NPP instrumentation and control systems: categorization
International Nuclear Information System (INIS)
Klevtsov, A.L.; Simonov, A.A.; Trubchaninov, S.A.
2016-01-01
The paper is devoted to studying categorization of NPP instrumentation and control (I&C) systems from the point of view of computer security and to consideration of the computer security levels and zones used by the International Atomic Energy Agency (IAEA). The paper also describes the computer security degrees and zones regulated by the International Electrotechnical Commission (IEC) standard. The computer security categorization of the systems used by the U.S. Nuclear Regulatory Commission (NRC) is presented. The experts analyzed the main differences in I&C systems computer security categorization accepted by the IAEA, IEC and U.S. NRC. The approaches to categorization that should be advisably used in Ukraine during the development of regulation on NPP I&C systems computer security are proposed in the paper
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Automated Psychological Categorization via Linguistic Processing System
National Research Council Canada - National Science Library
Eramo, Mark
2004-01-01
.... This research examined whether or not Information Technology (IT) tools, specializing in text mining, are robust enough to automate the categorization/segmentation of individual profiles for the purpose...
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Dual PECCS: a cognitive system for conceptual representation and categorization
Lieto, Antonio; Radicioni, Daniele P.; Rho, Valentina
2017-03-01
In this article we present an advanced version of Dual-PECCS, a cognitively-inspired knowledge representation and reasoning system aimed at extending the capabilities of artificial systems in conceptual categorization tasks. It combines different sorts of common-sense categorization (prototypical and exemplars-based categorization) with standard monotonic categorization procedures. These different types of inferential procedures are reconciled according to the tenets coming from the dual process theory of reasoning. On the other hand, from a representational perspective, the system relies on the hypothesis of conceptual structures represented as heterogeneous proxytypes. Dual-PECCS has been experimentally assessed in a task of conceptual categorization where a target concept illustrated by a simple common-sense linguistic description had to be identified by resorting to a mix of categorization strategies, and its output has been compared to human responses. The obtained results suggest that our approach can be beneficial to improve the representational and reasoning conceptual capabilities of standard cognitive artificial systems, and - in addition - that it may be plausibly applied to different general computational models of cognition. The current version of the system, in fact, extends our previous work, in that Dual- PECCS is now integrated and tested into two cognitive architectures, ACT-R and CLARION, implementing different assumptions on the underlying invariant structures governing human cognition. Such integration allowed us to extend our previous evaluation.
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Text categorization of biomedical data sets using graph kernels and a controlled vocabulary.
Bleik, Said; Mishra, Meenakshi; Huan, Jun; Song, Min
2013-01-01
Recently, graph representations of text have been showing improved performance over conventional bag-of-words representations in text categorization applications. In this paper, we present a graph-based representation for biomedical articles and use graph kernels to classify those articles into high-level categories. In our representation, common biomedical concepts and semantic relationships are identified with the help of an existing ontology and are used to build a rich graph structure that provides a consistent feature set and preserves additional semantic information that could improve a classifier's performance. We attempt to classify the graphs using both a set-based graph kernel that is capable of dealing with the disconnected nature of the graphs and a simple linear kernel. Finally, we report the results comparing the classification performance of the kernel classifiers to common text-based classifiers.
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Lee, Ji Hye; Han, Kyunghwa; Kim, Eun-Kyung; Moon, Hee Jung; Yoon, Jung Hyun; Park, Vivian Y; Kwak, Jin Young
2017-11-01
The purpose of this study was to validate the modified 4-tiered categorization system and to compare stratification of malignancy risk in small thyroid nodules with the 2015 American Thyroid Association (ATA) management guidelines. From January 2015 to December 2015, 737 thyroid nodules measured ≥ 1 cm and categorization, which combines very low suspicion and low suspicion nodules into the "revised low suspicion" category. Specificity, positive predictive value (PPV) and accuracy were higher with the modified 4-tiered categorization system (P categorization system allows more efficient management with better diagnostic performance than the 2015 ATA categorization system in small thyroid nodules. © 2017 Wiley Periodicals, Inc.
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Glushko, Robert J; Maglio, Paul P; Matlock, Teenie; Barsalou, Lawrence W
2008-04-01
In studying categorization, cognitive science has focused primarily on cultural categorization, ignoring individual and institutional categorization. Because recent technological developments have made individual and institutional classification systems much more available and powerful, our understanding of the cognitive and social mechanisms that produce these systems is increasingly important. Furthermore, key aspects of categorization that have received little previous attention emerge from considering diverse types of categorization together, such as the social factors that create stability in classification systems, and the interoperability that shared conceptual systems establish between agents. Finally, the profound impact of recent technological developments on classification systems indicates that basic categorization mechanisms are highly adaptive, producing new classification systems as the situations in which they operate change.
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System for pathology categorization and retrieval in chest radiographs
Avni, Uri; Greenspan, Hayit; Konen, Eli; Sharon, Michal; Goldberger, Jacob
2011-03-01
In this paper we present an overview of a system we have been developing for the past several years for efficient image categorization and retrieval in large radiograph archives. The methodology is based on local patch representation of the image content, using a bag of visual words approach and similarity-based categorization with a kernel based SVM classifier. We show an application to pathology-level categorization of chest x-ray data, the most popular examination in radiology. Our study deals with pathology detection and identification of individual pathologies including right and left pleural effusion, enlarged heart and cases of enlarged mediastinum. The input from a radiologist provided a global label for the entire image (healthy/pathology), and the categorization was conducted on the entire image, with no need for segmentation algorithms or any geometrical rules. An automatic diagnostic-level categorization, even on such an elementary level as healthy vs pathological, provides a useful tool for radiologists on this popular and important examination. This is a first step towards similarity-based categorization, which has a major clinical implications for computer-assisted diagnostics.
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CATEGORIZATION OF EXTRANEOUS MATTER IN COTTON USING MACHINE VISION SYSTEMS
The Cotton Trash Identification System (CTIS) was developed at the Southwestern Cotton Ginning Research Laboratory to identify and categorize extraneous matter in cotton. The CTIS bark/grass categorization was evaluated with USDA-Agricultural Marketing Service (AMS) extraneous matter calls assigned ...
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Categorization of Information is the First Step to Enterprise Information Security
Directory of Open Access Journals (Sweden)
M. M. Koptenkov
2011-12-01
Full Text Available This article reveals the necessity and importance of information categorizing in the area of information security systems development. This paper describes an information categorizing method based on the assessment of damages in a breach of confidentiality, integrity and availability of processed information. This method allows us to classify information on the degree of its value to the organization and most effectively implement an access control system.
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Categorization: The View from Animal Cognition.
Smith, J David; Zakrzewski, Alexandria C; Johnson, Jennifer M; Valleau, Jeanette C; Church, Barbara A
2016-06-15
Exemplar, prototype, and rule theory have organized much of the enormous literature on categorization. From this theoretical foundation have arisen the two primary debates in the literature-the prototype-exemplar debate and the single system-multiple systems debate. We review these theories and debates. Then, we examine the contribution that animal-cognition studies have made to them. Animals have been crucial behavioral ambassadors to the literature on categorization. They reveal the roots of human categorization, the basic assumptions of vertebrates entering category tasks, the surprising weakness of exemplar memory as a category-learning strategy. They show that a unitary exemplar theory of categorization is insufficient to explain human and animal categorization. They show that a multiple-systems theoretical account-encompassing exemplars, prototypes, and rules-will be required for a complete explanation. They show the value of a fitness perspective in understanding categorization, and the value of giving categorization an evolutionary depth and phylogenetic breadth. They raise important questions about the internal similarity structure of natural kinds and categories. They demonstrate strong continuities with humans in categorization, but discontinuities, too. Categorization's great debates are resolving themselves, and to these resolutions animals have made crucial contributions.
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Interaction and observation, categorically
Directory of Open Access Journals (Sweden)
Vincenzo Ciancia
2011-07-01
Full Text Available This paper proposes to use dialgebras to specify the semantics of interactive systems in a natural way. Dialgebras are a conservative extension of coalgebras. In this categorical model, from the point of view that we provide, the notions of observation and interaction are separate features. This is useful, for example, in the specification of process equivalences, which are obtained as kernels of the homomorphisms of dialgebras. As an example we present the asynchronous semantics of the CCS.
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CATEGORICAL IMAGE COMPONENTS IN THE FORMING SYSTEM OF A MARKETING TECHNIQUES MANAGER’S IMAGE CULTURE
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Anna Borisovna Cherednyakova
2015-08-01
Full Text Available Based on the understanding of the image culture formation of managers of marketing techniques, as a representative of the social and communication interaction of public structures, categorical apparatus of image culture with an emphasis on the etymology of the image, as an integral component of image culture was analyzed. Categorical components of the image are presented from the standpoint of image culture, as personal new formation, an integral part of the professional activity of the marketing techniques manager: object-communicative categorical component, subject-activity categorical component of image, personality-oriented categorical component, value-acmeological categorical component of image.The aim is to identify and justify the image categorical components as a component of image culture of the marketing techniques manager.Method and methodology of work – a general scientific research approach reflecting scientific apparatus of research.Results. Categorical components of the image, as an image culture component of manager of marketing techniques were defined.Practical implication of the results. The theoretical part of «Imageology» course, special course «Image culture of manager of marketing techniques», the theoretical and methodological study and the formation of image culture.
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The dynamics of categorization: Unraveling rapid categorization.
Mack, Michael L; Palmeri, Thomas J
2015-06-01
We explore a puzzle of visual object categorization: Under normal viewing conditions, you spot something as a dog fastest, but at a glance, you spot it faster as an animal. During speeded category verification, a classic basic-level advantage is commonly observed (Rosch, Mervis, Gray, Johnson, & Boyes-Braem, 1976), with categorization as a dog faster than as an animal (superordinate) or Golden Retriever (subordinate). A different story emerges during ultra-rapid categorization with limited exposure duration (categorization faster than basic or subordinate categorization (Thorpe, Fize, & Marlot, 1996). These two widely cited findings paint contrary theoretical pictures about the time course of categorization, yet no previous study has investigated them together. We systematically examined two experimental factors that could explain the qualitative difference in categorization across the two paradigms: exposure duration and category trial context. Mapping out the time course of object categorization by manipulating exposure duration and the timing of a post-stimulus mask revealed that brief exposure durations favor superordinate-level categorization, but with more time a basic-level advantage emerges. However, these advantages were modulated by category trial context. With randomized target categories, the superordinate advantage was eliminated; and with only four repetitions of superordinate categorization within an otherwise randomized context, the basic-level advantage was eliminated. Contrary to theoretical accounts that dictate a fixed priority for certain levels of abstraction in visual processing and access to semantic knowledge, the dynamics of object categorization are flexible, depending jointly on the level of abstraction, time for perceptual encoding, and category context. (c) 2015 APA, all rights reserved).
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Hierarchical document categorization using associative networks
Bloom, Niels; Theune, Mariet; de Jong, Franciska M.G.; Klement, E.P.; Borutzky, W.; Fahringer, T.; Hamza, M.H.; Uskov, V.
Associative networks are a connectionist language model with the ability to handle dynamic data. We used two associative networks to categorize random sets of related Wikipedia articles with only their raw text as input. We then compared the resulting categorization to a gold standard: the manual
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Settimi, Laura; Orford, Rob; Davanzo, Franca; Hague, Charlotte; Desel, Herbert; Pelclova, Daniela; Dragelyte, Gabija; Mathieu-Nolf, Monique; Adams, Richard; Duarte-Davidson, Raquel
2016-05-01
European legislation requires reporting from Member States on acute poisoning incidents involving pesticides. However, standard rules for data collection and reporting have not yet been set out. The new categorization system presented in this paper is aimed at enabling Member States to gather comparable data and provide standard reporting on pesticide poisoning exposures. European Regulations providing separate official categorization of biocidal and plant protection pesticides, were used as a basis to build up a unified pesticide categorization and coding system. Data on selected pesticide exposures collected by Poison Control Centres in six EU countries were reviewed, categorized and reported according to the proposed system. The resulting pesticide categorization system has two dimensions. The first part identifies the main category of use, i.e. biocide/plant protection pesticide/unknown, and the secondary category of use, e.g. Rodenticides, Insecticides and acaricides. The second part of the system is organized into two levels: level one identifies chemical grouping, e.g. Coumarins, Pyrethrins/pyrethroids, while level two identifies the active compound by using its Chemical Abstract Service Registry Number. The system was used to provide a unified categorization to compare exposures to plant protection and biocidal Rodenticides and Pyrethrins/pyrethroids Insecticides and acaricides identified by six EU member states. The developed pesticide categorization system was successfully applied to data extracted from different databases and was able to make the required information comparable. The data reported filling in common templates containing a pre-ordinate list of active compounds categorized according the proposed system, highlighted different capabilities in data collection and recording, showing that some of the collaborating centres were not able to distinguish between main categories of pesticide products or provide information on active compounds. The
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Biological origins of color categorization
Skelton, Alice E.; Catchpole, Gemma; Abbott, Joshua T.; Bosten, Jenny M.; Franklin, Anna
2017-01-01
The biological basis of the commonality in color lexicons across languages has been hotly debated for decades. Prior evidence that infants categorize color could provide support for the hypothesis that color categorization systems are not purely constructed by communication and culture. Here, we investigate the relationship between infants’ categorization of color and the commonality across color lexicons, and the potential biological origin of infant color categories. We systematically mappe...
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Prototype learning and dissociable categorization systems in Alzheimer's disease.
Heindel, William C; Festa, Elena K; Ott, Brian R; Landy, Kelly M; Salmon, David P
2013-08-01
Recent neuroimaging studies suggest that prototype learning may be mediated by at least two dissociable memory systems depending on the mode of acquisition, with A/Not-A prototype learning dependent upon a perceptual representation system located within posterior visual cortex and A/B prototype learning dependent upon a declarative memory system associated with medial temporal and frontal regions. The degree to which patients with Alzheimer's disease (AD) can acquire new categorical information may therefore critically depend upon the mode of acquisition. The present study examined A/Not-A and A/B prototype learning in AD patients using procedures that allowed direct comparison of learning across tasks. Despite impaired explicit recall of category features in all tasks, patients showed differential patterns of category acquisition across tasks. First, AD patients demonstrated impaired prototype induction along with intact exemplar classification under incidental A/Not-A conditions, suggesting that the loss of functional connectivity within visual cortical areas disrupted the integration processes supporting prototype induction within the perceptual representation system. Second, AD patients demonstrated intact prototype induction but impaired exemplar classification during A/B learning under observational conditions, suggesting that this form of prototype learning is dependent on a declarative memory system that is disrupted in AD. Third, the surprisingly intact classification of both prototypes and exemplars during A/B learning under trial-and-error feedback conditions suggests that AD patients shifted control from their deficient declarative memory system to a feedback-dependent procedural memory system when training conditions allowed. Taken together, these findings serve to not only increase our understanding of category learning in AD, but to also provide new insights into the ways in which different memory systems interact to support the acquisition of
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International Nuclear Information System (INIS)
Arndt, Steven A.
2011-01-01
It has been suggested that by categorizing the various digital systems used in safety critical applications in nuclear power plants, it would be possible to determine which systems should be modeled in the analysis of the larger plant wide PRA, at what level of detail the digital system should be modeled and using which methods. The research reported in this paper develops a categorization method using system attributes to permit a modeler to more effectively model the systems that will likely have the most critical contributions to the overall plant safety and to more effectively model system interactions for those digital systems where the interactions are most important to the overall accuracy and completeness of the plant PRA. The proposed methodology will categorize digital systems based on certain attributes of the systems themselves and how they will be used in the specific application. This will help determine what digital systems need to be modeled and at what level of detail, and can be used to guide PRA analysis and regulatory reviews. The three-attribute categorization strategy that was proposed by Arndt is used as the basis for the categorization methodology developed here. The first attribute, digital system complexity, is based on Type Il interactions defined by Aldemir and an overall digital system size and complexity index. The size and complexity index used are previously defined software complexity metrics. Potential sub-attributes of digital system complexity include, design complexity, software complexity, hardware complexity, system function complexity and testability. The second attribute, digital system interactions/inter-conductivity, is a combination of Rushby's coupling and Ademir's Type I interactions. Digital systems that are loosely coupled and/or have very few Type I interaction would not interact dynamically with the overall system and would have a low interactions/inter-conductivity score. Potential sub-attributes of digital system
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Energy Technology Data Exchange (ETDEWEB)
Arndt, Steven A. [U.S. Nuclear Regulatory Commission, Washington D.C. (United States)
2011-08-15
It has been suggested that by categorizing the various digital systems used in safety critical applications in nuclear power plants, it would be possible to determine which systems should be modeled in the analysis of the larger plant wide PRA, at what level of detail the digital system should be modeled and using which methods. The research reported in this paper develops a categorization method using system attributes to permit a modeler to more effectively model the systems that will likely have the most critical contributions to the overall plant safety and to more effectively model system interactions for those digital systems where the interactions are most important to the overall accuracy and completeness of the plant PRA. The proposed methodology will categorize digital systems based on certain attributes of the systems themselves and how they will be used in the specific application. This will help determine what digital systems need to be modeled and at what level of detail, and can be used to guide PRA analysis and regulatory reviews. The three-attribute categorization strategy that was proposed by Arndt is used as the basis for the categorization methodology developed here. The first attribute, digital system complexity, is based on Type Il interactions defined by Aldemir and an overall digital system size and complexity index. The size and complexity index used are previously defined software complexity metrics. Potential sub-attributes of digital system complexity include, design complexity, software complexity, hardware complexity, system function complexity and testability. The second attribute, digital system interactions/inter-conductivity, is a combination of Rushby's coupling and Ademir's Type I interactions. Digital systems that are loosely coupled and/or have very few Type I interaction would not interact dynamically with the overall system and would have a low interactions/inter-conductivity score. Potential sub-attributes of
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The time course of explicit and implicit categorization.
Smith, J David; Zakrzewski, Alexandria C; Herberger, Eric R; Boomer, Joseph; Roeder, Jessica L; Ashby, F Gregory; Church, Barbara A
2015-10-01
Contemporary theory in cognitive neuroscience distinguishes, among the processes and utilities that serve categorization, explicit and implicit systems of category learning that learn, respectively, category rules by active hypothesis testing or adaptive behaviors by association and reinforcement. Little is known about the time course of categorization within these systems. Accordingly, the present experiments contrasted tasks that fostered explicit categorization (because they had a one-dimensional, rule-based solution) or implicit categorization (because they had a two-dimensional, information-integration solution). In Experiment 1, participants learned categories under unspeeded or speeded conditions. In Experiment 2, they applied previously trained category knowledge under unspeeded or speeded conditions. Speeded conditions selectively impaired implicit category learning and implicit mature categorization. These results illuminate the processing dynamics of explicit/implicit categorization.
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DEFF Research Database (Denmark)
Lagermann, Laila Colding
2015-01-01
What are the possibilities and/or limitations in becoming subjects who are differenciated from earlier processes of categorizations that certain students are subjected to? This is the question explored in the analysis of this paper, based on observations of, and narratives and perspectives of two...... to trap and thereby limit the person being categorized. Through the analysis, I will show how repetitive limiting categorizations in and over time tend to stick to the boys being categorized, and how the sticky categorizations is shutting down their future possibilities for change and viable lives within...
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Humphrey, Susanne M.; Névéol, Aurélie; Browne, Allen; Gobeill, Julien; Ruch, Patrick; Darmoni, Stéfan J.
2010-01-01
Automatic document categorization is an important research problem in Information Science and Natural Language Processing. Many applications, including Word Sense Disambiguation and Information Retrieval in large collections, can benefit from such categorization. This paper focuses on automatic categorization of documents from the biomedical literature into broad discipline-based categories. Two different systems are described and contrasted: CISMeF, which uses rules based on human indexing o...
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Biological origins of color categorization.
Skelton, Alice E; Catchpole, Gemma; Abbott, Joshua T; Bosten, Jenny M; Franklin, Anna
2017-05-23
The biological basis of the commonality in color lexicons across languages has been hotly debated for decades. Prior evidence that infants categorize color could provide support for the hypothesis that color categorization systems are not purely constructed by communication and culture. Here, we investigate the relationship between infants' categorization of color and the commonality across color lexicons, and the potential biological origin of infant color categories. We systematically mapped infants' categorical recognition memory for hue onto a stimulus array used previously to document the color lexicons of 110 nonindustrialized languages. Following familiarization to a given hue, infants' response to a novel hue indicated that their recognition memory parses the hue continuum into red, yellow, green, blue, and purple categories. Infants' categorical distinctions aligned with common distinctions in color lexicons and are organized around hues that are commonly central to lexical categories across languages. The boundaries between infants' categorical distinctions also aligned, relative to the adaptation point, with the cardinal axes that describe the early stages of color representation in retinogeniculate pathways, indicating that infant color categorization may be partly organized by biological mechanisms of color vision. The findings suggest that color categorization in language and thought is partially biologically constrained and have implications for broader debate on how biology, culture, and communication interact in human cognition.
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Lan, Man; Su, Jian
2010-01-01
The selection of protein interaction documents is one important application for biology research and has a direct impact on the quality of downstream BioNLP applications, i.e., information extraction and retrieval, summarization, QA, etc. The BioCreative II.5 Challenge Article Categorization task (ACT) involves doing a binary text classification to determine whether a given structured full-text article contains protein interaction information. This may be the first attempt at classification of full-text protein interaction documents in wide community. In this paper, we compare and evaluate the effectiveness of different section types in full-text articles for text classification. Moreover, in practice, the less number of true-positive samples results in unstable performance and unreliable classifier trained on it. Previous research on learning with skewed class distributions has altered the class distribution using oversampling and downsampling. We also investigate the skewed protein interaction classification and analyze the effect of various issues related to the choice of external sources, oversampling training sets, classifiers, etc. We report on the various factors above to show that 1) a full-text biomedical article contains a wealth of scientific information important to users that may not be completely represented by abstracts and/or keywords, which improves the accuracy performance of classification and 2) reinforcing true-positive samples significantly increases the accuracy and stability performance of classification.
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Prototype Learning and Dissociable Categorization Systems in Alzheimer’s Disease
Heindel, William C.; Festa, Elena K.; Ott, Brian R.; Landy, Kelly M.; Salmon, David P.
2015-01-01
Recent neuroimaging studies suggest that prototype learning may be mediated by at least two dissociable memory systems depending on the mode of acquisition, with A/Not-A prototype learning dependent upon a perceptual representation system located within posterior visual cortex and A/B prototype learning dependent upon a declarative memory system associated with medial temporal and frontal regions. The degree to which patients with Alzheimer’s disease (AD) can acquire new categorical information may therefore critically depend upon the mode of acquisition. The present study examined A/Not-A and A/B prototype learning in AD patients using procedures that allowed direct comparison of learning across tasks. Despite impaired explicit recall of category features in all tasks, patients showed differential patterns of category acquisition across tasks. First, AD patients demonstrated impaired prototype induction along with intact exemplar classification under incidental A/Not-A conditions, suggesting that the loss of functional connectivity within visual cortical areas disrupted the integration processes supporting prototype induction within the perceptual representation system. Second, AD patients demonstrated intact prototype induction but impaired exemplar classification during A/B learning under observational conditions, suggesting that this form of prototype learning is dependent on a declarative memory system that is disrupted in AD. Third, the surprisingly intact classification of both prototypes and exemplars during A/B learning under trial-and-error feedback conditions suggests that AD patients shifted control from their deficient declarative memory system to a feedback-dependent procedural memory system when training conditions allowed. Taken together, these findings serve to not only increase our understanding of category learning in AD, but to also provide new insights into the ways in which different memory systems interact to support the acquisition of
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A Categorization of Converter Station Controllers Within Multi-terminal DC Transmission Systems
DEFF Research Database (Denmark)
Irnawan, Roni; Silva, Filipe Miguel Faria da; Bak, Claus Leth
2016-01-01
of controller might exist in the same system. It is therefore important to identify the parameters required by the converter station controllers to ensure a smooth coordination. In this paper, different converter station controllers available in the literatures are categorized. Challenges of converter station...
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Clinico-morphological correlations in the categorization of holes between the ventricles
Directory of Open Access Journals (Sweden)
Friedman Brad
2010-01-01
Full Text Available Controversy still exists in the categorization of holes between the ventricles, although they are the most common congenital cardiac malformation. Advanced imaging techniques such as three-dimensional echocardiography and computed tomographic angiography offer superb anatomical details of these defects. In this review, we have sought to collate the features highlighted in different categorizations and identify their similarities, but also emphasize their differences. We hope that an analysis of this type, now achievable during life, using advanced imaging, might lead to the appearance of a unified system for diagnosis and description of holes between the ventricles.
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Directory of Open Access Journals (Sweden)
David Pietraszewski
Full Text Available Humans in all societies form and participate in cooperative alliances. To successfully navigate an alliance-laced world, the human mind needs to detect new coalitions and alliances as they emerge, and predict which of many potential alliance categories are currently organizing an interaction. We propose that evolution has equipped the mind with cognitive machinery that is specialized for performing these functions: an alliance detection system. In this view, racial categories do not exist because skin color is perceptually salient; they are constructed and regulated by the alliance system in environments where race predicts social alliances and divisions. Early tests using adversarial alliances showed that the mind spontaneously detects which individuals are cooperating against a common enemy, implicitly assigning people to rival alliance categories based on patterns of cooperation and competition. But is social antagonism necessary to trigger the categorization of people by alliance--that is, do we cognitively link A and B into an alliance category only because they are jointly in conflict with C and D? We report new studies demonstrating that peaceful cooperation can trigger the detection of new coalitional alliances and make race fade in relevance. Alliances did not need to be marked by team colors or other perceptually salient cues. When race did not predict the ongoing alliance structure, behavioral cues about cooperative activities up-regulated categorization by coalition and down-regulated categorization by race, sometimes eliminating it. Alliance cues that sensitively regulated categorization by coalition and race had no effect on categorization by sex, eliminating many alternative explanations for the results. The results support the hypothesis that categorizing people by their race is a reversible product of a cognitive system specialized for detecting alliance categories and regulating their use. Common enemies are not necessary to
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Baldwin, John T
2009-01-01
Modern model theory began with Morley's categoricity theorem: A countable first-order theory that has a unique (up to isomorphism) model in one uncountable cardinal (i.e., is categorical in cardinality) if and only if the same holds in all uncountable cardinals. Over the last 35 years Shelah made great strides in extending this result to infinitary logic, where the basic tool of compactness fails. He invented the notion of an Abstract Elementary Class to give a unifying semantic account of theories in first-order, infinitary logic and with some generalized quantifiers. Zilber developed similar techniques of infinitary model theory to study complex exponentiation. This book provides the first unified and systematic exposition of this work. The many examples stretch from pure model theory to module theory and covers of Abelian varieties. Assuming only a first course in model theory, the book expounds eventual categoricity results (for classes with amalgamation) and categoricity in excellent classes. Such crucia...
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Differential effect of visual masking in perceptual categorization.
Hélie, Sébastien; Cousineau, Denis
2015-06-01
This article explores the visual information used to categorize stimuli drawn from a common stimulus space into verbal and nonverbal categories using 2 experiments. Experiment 1 explores the effect of target duration on verbal and nonverbal categorization using backward masking to interrupt visual processing. With categories equated for difficulty for long and short target durations, intermediate target duration shows an advantage for verbal categorization over nonverbal categorization. Experiment 2 tests whether the results of Experiment 1 can be explained by shorter target duration resulting in a smaller signal-to-noise ratio of the categorization stimulus. To test for this possibility, Experiment 2 used integration masking with the same stimuli, categories, and masks as Experiment 1 with a varying level of mask opacity. As predicted, low mask opacity yielded similar results to long target duration while high mask opacity yielded similar results to short target duration. Importantly, intermediate mask opacity produced an advantage for verbal categorization over nonverbal categorization, similar to intermediate target duration. These results suggest that verbal and nonverbal categorization are affected differently by manipulations affecting the signal-to-noise ratio of the stimulus, consistent with multiple-system theories of categorizations. The results further suggest that verbal categorization may be more digital (and more robust to low signal-to-noise ratio) while the information used in nonverbal categorization may be more analog (and less robust to lower signal-to-noise ratio). This article concludes with a discussion of how these new results affect the use of masking in perceptual categorization and multiple-system theories of perceptual category learning. (c) 2015 APA, all rights reserved).
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The Effect of Preprocessing on Arabic Document Categorization
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Abdullah Ayedh
2016-04-01
Full Text Available Preprocessing is one of the main components in a conventional document categorization (DC framework. This paper aims to highlight the effect of preprocessing tasks on the efficiency of the Arabic DC system. In this study, three classification techniques are used, namely, naive Bayes (NB, k-nearest neighbor (KNN, and support vector machine (SVM. Experimental analysis on Arabic datasets reveals that preprocessing techniques have a significant impact on the classification accuracy, especially with complicated morphological structure of the Arabic language. Choosing appropriate combinations of preprocessing tasks provides significant improvement on the accuracy of document categorization depending on the feature size and classification techniques. Findings of this study show that the SVM technique has outperformed the KNN and NB techniques. The SVM technique achieved 96.74% micro-F1 value by using the combination of normalization and stemming as preprocessing tasks.
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Knowledge categorization affects popularity and quality of Wikipedia articles.
Lerner, Jürgen; Lomi, Alessandro
2018-01-01
The existence of a shared classification system is essential to knowledge production, transfer, and sharing. Studies of knowledge classification, however, rarely consider the fact that knowledge categories exist within hierarchical information systems designed to facilitate knowledge search and discovery. This neglect is problematic whenever information about categorical membership is itself used to evaluate the quality of the items that the category contains. The main objective of this paper is to show that the effects of category membership depend on the position that a category occupies in the hierarchical knowledge classification system of Wikipedia-an open knowledge production and sharing platform taking the form of a freely accessible on-line encyclopedia. Using data on all English-language Wikipedia articles, we examine how the position that a category occupies in the classification hierarchy affects the attention that articles in that category attract from Wikipedia editors, and their evaluation of quality of the Wikipedia articles. Specifically, we show that Wikipedia articles assigned to coarse-grained categories (i. e., categories that occupy higher positions in the hierarchical knowledge classification system) garner more attention from Wikipedia editors (i. e., attract a higher volume of text editing activity), but receive lower evaluations (i. e., they are considered to be of lower quality). The negative relation between attention and quality implied by this result is consistent with current theories of social categorization, but it also goes beyond available results by showing that the effects of categorization on evaluation depend on the position that a category occupies in a hierarchical knowledge classification system.
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Knowledge categorization affects popularity and quality of Wikipedia articles
Lomi, Alessandro
2018-01-01
The existence of a shared classification system is essential to knowledge production, transfer, and sharing. Studies of knowledge classification, however, rarely consider the fact that knowledge categories exist within hierarchical information systems designed to facilitate knowledge search and discovery. This neglect is problematic whenever information about categorical membership is itself used to evaluate the quality of the items that the category contains. The main objective of this paper is to show that the effects of category membership depend on the position that a category occupies in the hierarchical knowledge classification system of Wikipedia—an open knowledge production and sharing platform taking the form of a freely accessible on-line encyclopedia. Using data on all English-language Wikipedia articles, we examine how the position that a category occupies in the classification hierarchy affects the attention that articles in that category attract from Wikipedia editors, and their evaluation of quality of the Wikipedia articles. Specifically, we show that Wikipedia articles assigned to coarse-grained categories (i. e., categories that occupy higher positions in the hierarchical knowledge classification system) garner more attention from Wikipedia editors (i. e., attract a higher volume of text editing activity), but receive lower evaluations (i. e., they are considered to be of lower quality). The negative relation between attention and quality implied by this result is consistent with current theories of social categorization, but it also goes beyond available results by showing that the effects of categorization on evaluation depend on the position that a category occupies in a hierarchical knowledge classification system. PMID:29293627
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Semi-automated categorization of open-ended questions
Directory of Open Access Journals (Sweden)
Matthias Schonlau
2016-08-01
Full Text Available Text data from open-ended questions in surveys are difficult to analyze and are frequently ignored. Yet open-ended questions are important because they do not constrain respondents’ answer choices. Where open-ended questions are necessary, sometimes multiple human coders hand-code answers into one of several categories. At the same time, computer scientists have made impressive advances in text mining that may allow automation of such coding. Automated algorithms do not achieve an overall accuracy high enough to entirely replace humans. We categorize open-ended questions soliciting narrative responses using text mining for easy-to-categorize answers and humans for the remainder using expected accuracies to guide the choice of the threshold delineating between “easy” and “hard”. Employing multinomial boosting avoids the common practice of converting machine learning “confidence scores” into pseudo-probabilities. This approach is illustrated with examples from open-ended questions related to respondents’ advice to a patient in a hypothetical dilemma, a follow-up probe related to respondents’ perception of disclosure/privacy risk, and from a question on reasons for quitting smoking from a follow-up survey from the Ontario Smoker’s Helpline. Targeting 80% combined accuracy, we found that 54%-80% of the data could be categorized automatically in research surveys.
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Methodological Demonstration of a Text Analytics Approach to Country Logistics System Assessments
DEFF Research Database (Denmark)
Kinra, Aseem; Mukkamala, Raghava Rao; Vatrapu, Ravi
2017-01-01
The purpose of this study is to develop and demonstrate a semi-automated text analytics approach for the identification and categorization of information that can be used for country logistics assessments. In this paper, we develop the methodology on a set of documents for 21 countries using...... and the text analyst. Implications are discussed and future work is outlined....
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International Nuclear Information System (INIS)
2003-07-01
Radioactive sources are used throughout the world for a wide variety of peaceful purposes in industry, medicine, agriculture, research and education; and they are also used in military applications. The International Basic Safety Standards provide an internationally harmonized basis for ensuring the safe and secure use of sources of ionizing radiation. Because of the wide variety of uses and activities of radiation sources, a categorization system is necessary so that the controls that are applied to the sources are commensurate with the radiological risks. In September 1998, following an assessment of the major findings of the first International Conference on the Safety of Radiation Sources and the Security of Radioactive Materials, held in Dijon, France, from 14 to 18 September 1998 (the Dijon Conference), the IAEA's General Conference (in resolution GC(42)/RES/12), inter alia, encouraged all governments 'to take steps to ensure the existence within their territories of effective national systems of control for ensuring the safety of radiation sources and the security of radioactive materials' and requested the Secretariat 'to prepare for the consideration of the Board of Governors a report on: (i) how national systems for ensuring the safety of radiation sources and the security of radioactive materials can be operated at a high level of effectiveness; and, (ii) whether international undertakings concerned with the effective operation of such systems and attracting broad adherence could be formulated'. In February 1999, the Secretariat submitted to the IAEA Board of Governors a report prepared in response to the request made of it by the General Conference. The Board took up the report at its March 1999 session and, inter alia, requested the Secretariat to prepare an action plan that took into account the conclusions and recommendations in the report, and the Board's discussion of the report. In August 1999, the Secretariat circulated a proposed Action Plan for
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Anterior Temporal Lobe Morphometry Predicts Categorization Ability
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Béatrice Garcin
2018-02-01
Full Text Available Categorization is the mental operation by which the brain classifies objects and events. It is classically assessed using semantic and non-semantic matching or sorting tasks. These tasks show a high variability in performance across healthy controls and the cerebral bases supporting this variability remain unknown. In this study we performed a voxel-based morphometry study to explore the relationships between semantic and shape categorization tasks and brain morphometric differences in 50 controls. We found significant correlation between categorization performance and the volume of the gray matter in the right anterior middle and inferior temporal gyri. Semantic categorization tasks were associated with more rostral temporal regions than shape categorization tasks. A significant relationship was also shown between white matter volume in the right temporal lobe and performance in the semantic tasks. Tractography revealed that this white matter region involved several projection and association fibers, including the arcuate fasciculus, inferior fronto-occipital fasciculus, uncinate fasciculus, and inferior longitudinal fasciculus. These results suggest that categorization abilities are supported by the anterior portion of the right temporal lobe and its interaction with other areas.
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Categorization of radiation sources
International Nuclear Information System (INIS)
2000-12-01
The objective of this report is to develop a categorization scheme for radiation sources that could be relevant to decisions both in a retrospective application to bring sources under control and in a prospective sense to guide the application of the regulatory infrastructure. The Action Plan envisages that the preparation of guidance on national strategies and programmes for the detection and location of orphan sources and their subsequent management should commence after the categorization of sources has been carried out. In the prospective application of the system of notification, registration, and licensing, the categorization is relevant to prioritize a regulatory authority's resources and training activities; to guide the degree of detail necessary for a safety assessment; and to serve as a measure of the intensity of effort which a regulatory authority should apply to the safety and security of a particular type of source
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Segmentation precedes face categorization under suboptimal conditions
Directory of Open Access Journals (Sweden)
Carlijn eVan Den Boomen
2015-05-01
Full Text Available Both categorization and segmentation processes play a crucial role in face perception. However, the functional relation between these subprocesses is currently unclear. The present study investigates the temporal relation between segmentation-related and category-selective responses in the brain, using electroencephalography (EEG. Surface segmentation and category content were both manipulated using texture-defined objects, including faces. This allowed us to study brain activity related to segmentation and to categorization. In the main experiment, participants viewed texture-defined objects for a duration of 800 ms. EEG results revealed that segmentation-related responses precede category-selective responses. Three additional experiments revealed that the presence and timing of categorization depends on stimulus properties and presentation duration. Photographic objects were presented for a long and short (92 ms duration and evoked fast category-selective responses in both cases. On the other hand, presentation of texture-defined objects for a short duration only evoked segmentation-related but no category-selective responses. Category-selective responses were much slower when evoked by texture-defined than by photographic objects. We suggest that in case of categorization of objects under suboptimal conditions, such as when low-level stimulus properties are not sufficient for fast object categorization, segmentation facilitates the slower categorization process.
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R.W. Hamilton (Rebecca); S. Puntoni (Stefano); N.T. Tavassoli (Nader)
2006-01-01
textabstractCategorization is a core psychological process central to consumer and managerial decision-making. While a substantial amount of research has been conducted to examine individual categorization behaviors, relatively little is known about the group categorization process. In two
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Assessing expertise in introductory physics using categorization task
Directory of Open Access Journals (Sweden)
Andrew Mason
2011-10-01
Full Text Available The ability to categorize problems based upon underlying principles, rather than surface features or contexts, is considered one of several proxy predictors of expertise in problem solving. With inspiration from the classic study by Chi, Feltovich, and Glaser, we assess the distribution of expertise among introductory physics students by asking three introductory physics classes, each with more than a hundred students, to categorize mechanics problems based upon similarity of solution. We compare their categorization with those of physics graduate students and faculty members. To evaluate the effect of problem context on students’ ability to categorize, two sets of problems were developed for categorization. Some problems in one set included those available from the prior study by Chi et al. We find a large overlap between calculus-based introductory students and graduate students with regard to their categorizations that were assessed as “good.” Our findings, which contrast with those of Chi et al., suggest that there is a wide distribution of expertise in mechanics among introductory and graduate students. Although the categorization task is conceptual, introductory students in the calculus-based course performed better than those in the algebra-based course. Qualitative trends in categorization of problems are similar between the non-Chi problems and problems available from the Chi study used in our study although the Chi problems used are more difficult on average.
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Das-Smaal, E.A.
1990-01-01
On what grounds can we conclude that an act of categorization is biased? In this chapter, it is contended that in the absence of objective norms of what categories actually are, biases in categorization can only be specified in relation to theoretical understandings of categorization. Therefore, the
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Arabic Text Categorization Using Improved k-Nearest neighbour Algorithm
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Wail Hamood KHALED
2014-10-01
Full Text Available The quantity of text information published in Arabic language on the net requires the implementation of effective techniques for the extraction and classifying of relevant information contained in large corpus of texts. In this paper we presented an implementation of an enhanced k-NN Arabic text classifier. We apply the traditional k-NN and Naive Bayes from Weka Toolkit for comparison purpose. Our proposed modified k-NN algorithm features an improved decision rule to skip the classes that are less similar and identify the right class from k nearest neighbours which increases the accuracy. The study evaluates the improved decision rule technique using the standard of recall, precision and f-measure as the basis of comparison. We concluded that the effectiveness of the proposed classifier is promising and outperforms the classical k-NN classifier.
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A categorization of water system breakdowns: Evidence from Liberia, Nigeria, Tanzania, and Uganda.
Klug, Tori; Cronk, Ryan; Shields, Katherine F; Bartram, Jamie
2018-04-01
In rural sub-Saharan Africa, one in three handpumps are non-functional at any time. While there is some evidence describing factors associated with non-functional water systems, there is little evidence describing the categories of water system breakdowns that commonly occur. Insufficient water availability from broken down systems can force people to use unimproved water sources, which undermines the health benefits of an improved water source. We categorized common water system breakdowns using quantitative and qualitative monitoring data from Liberia, Nigeria, Tanzania, and Uganda (each N>3600 water systems) and examined how breakdown category varies by water system type and management characteristics. Specific broken parts were mentioned more frequently than all other reasons for breakdown; hardware parts frequently found at fault for breakdown were aprons (Liberia), pipes (Tanzania and Uganda), taps/spouts (Tanzania and Uganda), and lift mechanisms (Nigeria). Statistically significant differences in breakdown category were identified based on system type, age, management type, and fee collection type. Categorization can help to identify common reasons for water system breakdown. The analysis of these data can be used to develop improved monitoring instruments to inform actors of different breakdown types and provide reasons for system non-functionality. Improved monitoring instruments would enable actors to target appropriate resources to address specific breakdowns likely to arise based on system type and management characteristics in order to inform improved implementation of and post-construction support for water systems in sub-Saharan Africa. Copyright © 2017 Elsevier B.V. All rights reserved.
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Visual Categorization and the Parietal Cortex
Directory of Open Access Journals (Sweden)
Jamie K Fitzgerald
2012-05-01
Full Text Available The primate brain is adept at rapidly grouping items and events into functional classes, or categories, in order to recognize the significance of stimuli and guide behavior. Higher cognitive functions have traditionally been considered the domain of frontal areas. However, increasing evidence suggests that parietal cortex is also involved in categorical and associative processes. Previous work showed that the parietal cortex is highly involved in spatial processing, attention and saccadic eye movement planning, and more recent studies have found decision-making signals in LIP. We recently found that a subdivision of parietal cortex, the lateral intraparietal area (LIP, reflects learned categories for multiple types of visual stimuli. Additionally, a comparison of categorization signals in parietal and frontal areas found stronger and earlier categorization signals in parietal cortex, arguing that parietal abstract association or category signals are unlikely to arise via feedback from prefrontal cortex (PFC.
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Efficient Cross-Modal Transfer of Shape Information in Visual and Haptic Object Categorization
Directory of Open Access Journals (Sweden)
Nina Gaissert
2011-10-01
Full Text Available Categorization has traditionally been studied in the visual domain with only a few studies focusing on the abilities of the haptic system in object categorization. During the first years of development, however, touch and vision are closely coupled in the exploratory procedures used by the infant to gather information about objects. Here, we investigate how well shape information can be transferred between those two modalities in a categorization task. Our stimuli consisted of amoeba-like objects that were parametrically morphed in well-defined steps. Participants explored the objects in a categorization task either visually or haptically. Interestingly, both modalities led to similar categorization behavior suggesting that similar shape processing might occur in vision and haptics. Next, participants received training on specific categories in one of the two modalities. As would be expected, training increased performance in the trained modality; however, we also found significant transfer of training to the other, untrained modality after only relatively few training trials. Taken together, our results demonstrate that complex shape information can be transferred efficiently across the two modalities, which speaks in favor of multisensory, higher-level representations of shape.
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Prototypes, Exemplars, and the Natural History of Categorization
Smith, J. David
2013-01-01
The article explores—from a utility/adaptation perspective—the role of prototype and exemplar processes in categorization. The author surveys important category tasks within the categorization literature from the perspective of the optimality of applying prototype and exemplar processes. Formal simulations reveal that organisms will often (not always!) receive more useful signals about category belongingness if they average their exemplar experience into a prototype and use this as the comparative standard for categorization. This survey then provides the theoretical context for considering the evolution of cognitive systems for categorization. In the article’s final sections, the author reviews recent research on the performance of nonhuman primates and humans in the tasks analyzed in the article. Diverse species share operating principles, default commitments, and processing weaknesses in categorization. From these commonalities, it may be possible to infer some properties of the categorization ecology these species generally experienced during cognitive evolution. PMID:24005828
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Klein Teeselink, G.; Blommaert, F.J.J.; Ridder, de H.
2000-01-01
A study was conducted to investigate whether images of natural scenes can be categorized with respect to information content and whether a relation exists with perceived foreground-background separation. In an experiment, one group of subjects carried out a 'free categorization' task, (subjects were
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Directory of Open Access Journals (Sweden)
Cyril R Pernet
2014-01-01
Full Text Available Both voice gender and speech perception rely on neuronal populations located in the peri-sylvian areas. However, whilst functional imaging studies suggest a left versus right hemisphere and anterior versus posterior dissociation between voice and speech categorization, psycholinguistic studies on talker variability suggest that these two processes (voice and speech categorization share common mechanisms. In this study, we investigated the categorical perception of voice gender (male vs. female and phonemes (/pa/ vs. /ta/ using the same stimulus continua generated by morphing. This allowed the investigation of behavioural differences while controlling acoustic characteristics, since the same stimuli were used in both tasks. Despite a higher acoustic dissimilarity between items during the phoneme categorization task (a male and female voice producing the same phonemes than the gender task (the same person producing 2 phonemes, results showed that speech information is being processed much faster than voice information. In addition, f0 or timbre equalization did not affect RT, which disagrees with the classical psycholinguistic models in which voice information is stripped away or normalized to access phonetic content. Also, despite similar response (percentages and perceptual (d’ curves, a reverse correlation analysis on acoustic features revealed, as expected, that the formant frequencies of the consonant distinguished stimuli in the phoneme task, but that only the vowel formant frequencies distinguish stimuli in the gender task. The 2nd set of results thus also disagrees with models postulating that the same acoustic information is used for voice and speech. Altogether these results suggest that voice gender categorization and phoneme categorization are dissociated at an early stage on the basis of different enhanced acoustic features that are diagnostic to the task at hand.
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Text Mining to Support Gene Ontology Curation and Vice Versa.
Ruch, Patrick
2017-01-01
In this chapter, we explain how text mining can support the curation of molecular biology databases dealing with protein functions. We also show how curated data can play a disruptive role in the developments of text mining methods. We review a decade of efforts to improve the automatic assignment of Gene Ontology (GO) descriptors, the reference ontology for the characterization of genes and gene products. To illustrate the high potential of this approach, we compare the performances of an automatic text categorizer and show a large improvement of +225 % in both precision and recall on benchmarked data. We argue that automatic text categorization functions can ultimately be embedded into a Question-Answering (QA) system to answer questions related to protein functions. Because GO descriptors can be relatively long and specific, traditional QA systems cannot answer such questions. A new type of QA system, so-called Deep QA which uses machine learning methods trained with curated contents, is thus emerging. Finally, future advances of text mining instruments are directly dependent on the availability of high-quality annotated contents at every curation step. Databases workflows must start recording explicitly all the data they curate and ideally also some of the data they do not curate.
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Emotion categorization does not depend on explicit face categorization
Seirafi, M.; de Weerd, P.; de Gelder, B.
2013-01-01
Face perception and emotion recognition have been extensively studied in the past decade; however, the relation between them is still poorly understood. A traditional view is that successful emotional categorization requires categorization of the stimulus as a ‘face', at least at the basic level.
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Categorizing operational radioactive wastes
International Nuclear Information System (INIS)
2007-04-01
The primary objective of this publication is to improve communications among waste management professionals and Member States relative to the properties and status of radioactive waste. This is accomplished by providing a standardized approach to operational waste categorization using accepted industry practices and experience. It is a secondary objective to draw a distinction between operational waste categorization and waste disposal classification. The approach set forth herein is applicable to waste generation by mature (major, advanced) nuclear programmes, small-to-medium sized nuclear programmes, and programmes with waste from other nuclear applications. It can be used for planning, developing or revising categorization methodologies. For existing categorization programmes, the approach set forth in this publication may be used as a validation and evaluation tool for assessing communication effectiveness among affected organizations or nations. This publication is intended for use by waste management professionals responsible for creating, implementing or communicating effective categorization, processing and disposal strategies. For the users of this publication, it is important to remember that waste categorization is a communication tool. As such, the operational waste categories are not suitable for regulatory purposes nor for use in health and safety evaluations. Following Section 1 (Introduction) Section 2 of this publication defines categorization and its relationship to existing waste classification and management standards, regulations and practices. It also describes the benefits of a comprehensive categorization programme and fundamental record considerations. Section 3 provides an overview of the categorization process, including primary categories and sub-categories. Sections 4 and 5 outline the specific methodology for categorizing unconditioned and conditioned wastes. Finally, Section 6 provides a brief summary of critical considerations that
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Directory of Open Access Journals (Sweden)
Přečková Petra
2012-04-01
Full Text Available Abstract Background Narrative medical reports do not use standardized terminology and often bring insufficient information for statistical processing and medical decision making. Objectives of the paper are to propose a method for measuring diversity in medical reports written in any language, to compare diversities in narrative and structured medical reports and to map attributes and terms to selected classification systems. Methods A new method based on a general concept of f-diversity is proposed for measuring diversity of medical reports in any language. The method is based on categorized attributes recorded in narrative or structured medical reports and on international classification systems. Values of categories are expressed by terms. Using SNOMED CT and ICD 10 we are mapping attributes and terms to predefined codes. We use f-diversities of Gini-Simpson and Number of Categories types to compare diversities of narrative and structured medical reports. The comparison is based on attributes selected from the Minimal Data Model for Cardiology (MDMC. Results We compared diversities of 110 Czech narrative medical reports and 1119 Czech structured medical reports. Selected categorized attributes of MDMC had mostly different numbers of categories and used different terms in narrative and structured reports. We found more than 60% of MDMC attributes in SNOMED CT. We showed that attributes in narrative medical reports had greater diversity than the same attributes in structured medical reports. Further, we replaced each value of category (term used for attributes in narrative medical reports by the closest term and the category used in MDMC for structured medical reports. We found that relative Gini-Simpson diversities in structured medical reports were significantly smaller than those in narrative medical reports except the "Allergy" attribute. Conclusions Terminology in narrative medical reports is not standardized. Therefore it is nearly
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Perception of angle in visual categorization by pigeons (Columba livia.
Directory of Open Access Journals (Sweden)
Walter T. Herbranson
2017-08-01
Full Text Available Pigeons are capable of learning to categorize stimuli based on visual features, and often reach levels of accuracy comparable with humans. Nevertheless, recent research has suggested that the cognitive processes behind categorization in pigeons and humans may not always be the same. Pigeons learned a categorization task in which they categorized either Shepard circles varying in size and orientation of a radial line (stimuli that are frequently used in research on human categorization, or moving dots varying in speed and direction of travel (stimuli that have been successfully used to study pigeon categorization. Even though categories were balanced so that the angles of orientation of Shepard circles matched the directions of travel for moving dots, birds failed to learn categories based on the former but not the latter. Results suggest that information about angle as a direction of travel may be more important for pigeons than information about angle of orientation.
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Directory of Open Access Journals (Sweden)
Riccardi Marco
2015-03-01
Full Text Available The main purpose of this article is to introduce the categorical concept of pullback in Mizar. In the first part of this article we redefine homsets, monomorphisms, epimorpshisms and isomorphisms [7] within a free-object category [1] and it is shown there that ordinal numbers can be considered as categories. Then the pullback is introduced in terms of its universal property and the Pullback Lemma is formalized [15]. In the last part of the article we formalize the pullback of functors [14] and it is also shown that it is not possible to write an equivalent definition in the context of the previous Mizar formalization of category theory [8].
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Oscillating feature subset search algorithm for text categorization
Czech Academy of Sciences Publication Activity Database
Novovičová, Jana; Somol, Petr; Pudil, Pavel
2006-01-01
Roč. 44, č. 4225 (2006), s. 578-587 ISSN 0302-9743 R&D Projects: GA AV ČR IAA2075302; GA MŠk 2C06019 EU Projects: European Commission(XE) 507752 - MUSCLE Institutional research plan: CEZ:AV0Z10750506 Keywords : text classification * feature selection * oscillating search algorithm * Bhattacharyya distance Subject RIV: BB - Applied Statistics, Operational Research Impact factor: 0.402, year: 2005
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Cross-cutting categorization schemes in the digital humanities.
Allen, Colin
2013-09-01
Digital access to large amounts of scholarly text presents both challenges and opportunities for researchers in the humanities. Meeting these challenges depends on having high-quality representations of the contents of digital resources suitable for both machines and humans to use. Different ways of categorizing these contents are appropriate for different purposes, leading to the further problem of relating the contents of different categorization schemes to each other. This essay discusses the rationale for categorizing philosophical concepts and surveys some of the main approaches to doing so for materials that are continuously changing. It describes the goals and methods of the Indiana Philosophy Ontology (InPhO) project and provides an example of the kind of analysis that is made possible by powerful modeling methods.
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Klauer, Karl Christoph; Hölzenbein, Fabian; Calanchini, Jimmy; Sherman, Jeffrey W
2014-07-01
We contrast 3 theoretical viewpoints concerning the factors affecting social categorization by race: (a) the classical theory of social categorization highlighting the role of a priori accessibility and situational factors, (b) the classical theory augmented by a principle of competitive category use, and (c) competition between race (but not gender) and coalition with race (but not gender) encoded only as a proxy to coalition. Study 1 documents a confound that renders important portions of previous research difficult to interpret. In Studies 2 and 3, race categorization was stronger than categorization by more weakly accessible categories when situational support in terms of topic relevance was comparable across categories. A situational focus on race further increased race categorization. Race categorization was reduced in the presence of strongly cued cross-cutting coalitions. Race categorization also was depressed when situational factors promoted comparative processing of cross-cutting categories while cues to potential coalitional divisions were held constant (Study 4). Accessibility, topic relevance, and cuing cross-cutting coalitions had the same effects on gender categorization as found for race categorization (Study 5). Taken together, the results suggest that classical theories of social categorization have to be augmented by a principle of competitive category use that is not limited to a competition between race and coalition.
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Wemrell, Maria; Mulinari, Shai; Merlo, Juan
2017-03-01
Intersectionality theory can contribute to epidemiology and public health by furthering understanding of power dynamics driving production of health disparities, and increasing knowledge about heterogeneities within, and overlap between, social categories. Drawing on McCall, we relate the first of these potential contributions to categorical intersectionality and the second to anti-categorical intersectionality. Both approaches are used in study of risk of ischemic heart disease (IHD), based on register data on 3.6 million adults residing in Sweden by 2010, followed for three years. Categorical intersectionality is here coupled with between-group differences in average risk calculation, as we use intersectional categorizations while estimating odds ratios through logistic regressions. The anti-categorical approach is operationalized through measurement of discriminatory accuracy (DA), i.e., capacity to accurately categorize individuals with or without a certain outcome, through computation of the area under the curve (AUC). Our results show substantial differences in average risk between intersectional groupings. The DA of social categorizations is found to be low, however, due to outcome variability within and overlap between categories. We argue that measures of DA should be used for proper interpretation of differences in average risk between social (or any other) categories. Tension between average between-group risk and the DA of categorizations, which can be related to categorical and anti-categorical intersectional analyses, should be made explicit and discussed to a larger degree in epidemiology and public health. Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.
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La categoría bienestar psicológico: Su relación con otras categorías sociales
Directory of Open Access Journals (Sweden)
Carmen R Victoria García-Viniegras
2000-12-01
Full Text Available Desde los tiempos más remotos los pensadores, poetas y científicos han intentado reflexionar y postular principios de diversa índole acerca del bienestar o felicidad del ser humano, constituyendo en la actualidad un tema de estudio importante para la psicología y en general para las ciencias sociales. Numerosos esfuerzos se han dirigido hacia el establecimiento de los componentes del bienestar, creándose para ellos distintos modelos para su estudio desde las perspectivas de muy variadas disciplinas. El bienestar colinda con una serie de otras categorías psico-sociológicas y sociológicas, siendo su delimitación conceptual y metodológica uno de los retos más grandes que tienen ante sí estas ciencias. El presente trabajo pretende realizar un análisis de la categoría bienestar desde un ángulo psicológico, estableciendo puntos de contacto con otras categorías sociales, tales como: desarrollo económico, nivel de vida, condiciones materiales de vida, modo de vida y estilo de vida
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Beliefs about poverty related to social categorization in childhood
Directory of Open Access Journals (Sweden)
José Amar Amar
2015-01-01
Full Text Available The aim of this study was to determine whether the social categorization of poverty during childhood is based on essentialist beliefs. The study included 121 children, aged 5 to 7, from different socioeconomic backgrounds living in the city of Barranquilla, Colombia. The children stated that the nature of this social category is based on situations external to the individuals rather than essentialist reasons. No significant differences were found as regards age, gender or socioeconomic status (SES, except in the capacity of the respondents to self-categorize their social status. Children who find fewer differences between members and non-members of a given category tend to err in their self-categorization, which is important for the prevention of social exclusion.
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DEFF Research Database (Denmark)
Westerberg, Andreas Rytter; Schoenau-Fog, Henrik
2015-01-01
they can use audio in video games. The conclusion of this study is that the current models' view of the diegetic spaces, used to categorize video game audio, is not t to categorize all sounds. This can however possibly be changed though a rethinking of how the player interprets audio.......This paper dives into the subject of video game audio and how it can be categorized in order to deliver a message to a player in the most precise way. A new categorization, with a new take on the diegetic spaces, can be used a tool of inspiration for sound- and game-designers to rethink how...
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Learning rules and categorization networks for language standardization
CSIR Research Space (South Africa)
Van Huyssteen, GB
2010-06-01
Full Text Available defined a generic, automated process that allows them to extract constructional schemas and present these visually as categorization networks, similar to what is often being used in Cognitive Grammar. The authors conclude that computational modeling...
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Information criterion for the categorization quality evaluation
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Michail V. Svirkin
2011-05-01
Full Text Available The paper considers the possibility of using the variation of information function as a quality criterion for categorizing a collection of documents. The performance of the variation of information function is being examined subject to the number of categories and the sample volume of the test document collection.
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Emerging Object Representations in the Visual System Predict Reaction Times for Categorization
Ritchie, J. Brendan; Tovar, David A.; Carlson, Thomas A.
2015-01-01
Recognizing an object takes just a fraction of a second, less than the blink of an eye. Applying multivariate pattern analysis, or “brain decoding”, methods to magnetoencephalography (MEG) data has allowed researchers to characterize, in high temporal resolution, the emerging representation of object categories that underlie our capacity for rapid recognition. Shortly after stimulus onset, object exemplars cluster by category in a high-dimensional activation space in the brain. In this emerging activation space, the decodability of exemplar category varies over time, reflecting the brain’s transformation of visual inputs into coherent category representations. How do these emerging representations relate to categorization behavior? Recently it has been proposed that the distance of an exemplar representation from a categorical boundary in an activation space is critical for perceptual decision-making, and that reaction times should therefore correlate with distance from the boundary. The predictions of this distance hypothesis have been born out in human inferior temporal cortex (IT), an area of the brain crucial for the representation of object categories. When viewed in the context of a time varying neural signal, the optimal time to “read out” category information is when category representations in the brain are most decodable. Here, we show that the distance from a decision boundary through activation space, as measured using MEG decoding methods, correlates with reaction times for visual categorization during the period of peak decodability. Our results suggest that the brain begins to read out information about exemplar category at the optimal time for use in choice behaviour, and support the hypothesis that the structure of the representation for objects in the visual system is partially constitutive of the decision process in recognition. PMID:26107634
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Categorization of In-use Radioactive Sealed Sources in Egypt
International Nuclear Information System (INIS)
Hasan, M.A.; Mohamed, Y.T.; El Haleim, K.A.
2006-01-01
Radioactive sealed sources have widespread applications in industry, medicine, research and education. While most sources are of relatively low activity, there are many of medium or very high activity. The mismanagement of high activity sources is responsible for most of the radiological accidents that result in loss of life or disabling injuries. Because of the variety of applications and activities of radioactive sources, a categorization system is necessary so that the controls that are applied to the sources are adequate with its radiological risk. The aim of this work is to use the international Atomic Energy Agency (IAEA) categorization system to provide a simple, logical system for grading radioactive sealed sources in Egypt. The categorizations of radioactive sealed sources are based on their potential to cause harm to human health. This study revealed that total of 1916 sources have been used in Egypt in the different applications with a total activity of 89400 Ci according to available data in October 2005. (authors)
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The Categorical Perception of the Music Scale a Challenge before the Microtonal Music
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Ivan Kostadinov Yanakiev
2018-02-01
Full Text Available The text examines the phenomenon of categorical perception of musical pitch as defined by John Sloboda (1999, Jane A. and William Siegel (1977, Stefan Koelsch (2012, and William Yost (2013, in their researches in the field of music psychology. The paper states the hypothesis that the current system of dividing the octave in twelve equal semitones do not employ the human physical capabilities for defining pitch to their full extend. On the contrary, the reviewed literature testify for the existence of a strong tendency to categorically label and perceive non equally tempered intervals with different but close to each other magnitudes (widths as the same. This tendency is stronger in professionally trained musicians than in non-musicians. A short historical excursion to the 21 tone 1/6 syntonic coma meantone temperament, recommended by both Leopold (1856 and Wolfgang Amadeus Mozart (1965, is included as an example for better utilization of the musicians’ potential to distinguish pitch and intervals, which had been employed in practice. The text continues with a brief overview of the theory behind generating intonations and temperaments, based on the Equal Division of the Octave (EDO method. Finally, a short exemplary reference to Kyle Ganns’ cycle “Hyperchromatica” (2015 is made alongside with quoting his personal attitude and commentary towards the performers’ general interest for microtonal music. The paper concludes that the categorical perception of pitch in the context of the twelve-tone equal temperament may be regarded as the main challenge, which the microtonal music is facing.
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Hierarchical Categorical Perception in Sensing and Cognitive Processes
DEFF Research Database (Denmark)
Bruni, Luis Emilio
2008-01-01
This article considers categorical perception (CP) as a crucial process involved in all sort of communication throughout the biological hierarchy, i.e. in all of biosemiosis. Until now, there has been consideration of CP exclusively within the functional cycle of perception-cognition-action and i...... of categorical sensing and perception with the equally hierarchical issues of the "binding problem", "triadic causality", the "emergent interpretant" and the increasing semiotic freedom observed in biological and cognitive systems....
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Quantifier Scope in Categorical Compositional Distributional Semantics
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Mehrnoosh Sadrzadeh
2016-08-01
Full Text Available In previous work with J. Hedges, we formalised a generalised quantifiers theory of natural language in categorical compositional distributional semantics with the help of bialgebras. In this paper, we show how quantifier scope ambiguity can be represented in that setting and how this representation can be generalised to branching quantifiers.
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42 CFR 493.17 - Test categorization.
2010-10-01
... troubleshooting and equipment maintenance. (i) Score 1. (A) Test system troubleshooting is automatic or self-correcting, or clearly described or requires minimal judgment; and (B) Equipment maintenance is provided by...) STANDARDS AND CERTIFICATION LABORATORY REQUIREMENTS General Provisions § 493.17 Test categorization. (a...
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ERP signs of categorical and supra-categorical processing of visual information.
Zani, Alberto; Marsili, Giulia; Senerchia, Annapaola; Orlandi, Andrea; Citron, Francesca M M; Rizzi, Ezia; Proverbio, Alice M
2015-01-01
The aim of the present study was to investigate to what extent shared and distinct brain mechanisms are possibly subserving the processing of visual supra-categorical and categorical knowledge as observed with event-related potentials of the brain. Access time to these knowledge types was also investigated. Picture pairs of animals, objects, and mixed types were presented. Participants were asked to decide whether each pair contained pictures belonging to the same category (either animals or man-made objects) or to different categories by pressing one of two buttons. Response accuracy and reaction times (RTs) were also recorded. Both ERPs and RTs were grand-averaged separately for the same-different supra-categories and the animal-object categories. Behavioral performance was faster for more endomorphic pairs, i.e., animals vs. objects and same vs. different category pairs. For ERPs, a modulation of the earliest C1 and subsequent P1 responses to the same vs. different supra-category pairs, but not to the animal vs. object category pairs, was found. This finding supports the view that early afferent processing in the striate cortex can be boosted as a by-product of attention allocated to the processing of shapes and basic features that are mismatched, but not to their semantic quintessence, during same-different supra-categorical judgment. Most importantly, the fact that this processing accrual occurred independent of a traditional experimental condition requiring selective attention to a stimulus source out of the various sources addressed makes it conceivable that this processing accrual may arise from the attentional demand deriving from the alternate focusing of visual attention within and across stimulus categorical pairs' basic structural features. Additional posterior ERP reflections of the brain more prominently processing animal category and same-category pairs were observed at the N1 and N2 levels, respectively, as well as at a late positive complex level
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Decoupling Object Detection and Categorization
Mack, Michael L.; Palmeri, Thomas J.
2010-01-01
We investigated whether there exists a behavioral dependency between object detection and categorization. Previous work (Grill-Spector & Kanwisher, 2005) suggests that object detection and basic-level categorization may be the very same perceptual mechanism: As objects are parsed from the background they are categorized at the basic level. In…
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Multi-Label Object Categorization Using Histograms of Global Relations
DEFF Research Database (Denmark)
Mustafa, Wail; Xiong, Hanchen; Kraft, Dirk
2015-01-01
In this paper, we present an object categorization system capable of assigning multiple and related categories for novel objects using multi-label learning. In this system, objects are described using global geometric relations of 3D features. We propose using the Joint SVM method for learning......). The experiments are carried out on a dataset of 100 objects belonging to 13 visual and action-related categories. The results indicate that multi-label methods are able to identify the relation between the dependent categories and hence perform categorization accordingly. It is also found that extracting...
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A hierarchical probabilistic model for rapid object categorization in natural scenes.
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Xiaofu He
Full Text Available Humans can categorize objects in complex natural scenes within 100-150 ms. This amazing ability of rapid categorization has motivated many computational models. Most of these models require extensive training to obtain a decision boundary in a very high dimensional (e.g., ∼6,000 in a leading model feature space and often categorize objects in natural scenes by categorizing the context that co-occurs with objects when objects do not occupy large portions of the scenes. It is thus unclear how humans achieve rapid scene categorization.To address this issue, we developed a hierarchical probabilistic model for rapid object categorization in natural scenes. In this model, a natural object category is represented by a coarse hierarchical probability distribution (PD, which includes PDs of object geometry and spatial configuration of object parts. Object parts are encoded by PDs of a set of natural object structures, each of which is a concatenation of local object features. Rapid categorization is performed as statistical inference. Since the model uses a very small number (∼100 of structures for even complex object categories such as animals and cars, it requires little training and is robust in the presence of large variations within object categories and in their occurrences in natural scenes. Remarkably, we found that the model categorized animals in natural scenes and cars in street scenes with a near human-level performance. We also found that the model located animals and cars in natural scenes, thus overcoming a flaw in many other models which is to categorize objects in natural context by categorizing contextual features. These results suggest that coarse PDs of object categories based on natural object structures and statistical operations on these PDs may underlie the human ability to rapidly categorize scenes.
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Document Categorization with Modified Statistical Language Models for Agglutinative Languages
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Tantug
2010-11-01
Full Text Available In this paper, we investigate the document categorization task with statistical language models. Our study mainly focuses on categorization of documents in agglutinative languages. Due to the productive morphology of agglutinative languages, the number of word forms encountered in naturally occurring text is very large. From the language modeling perspective, a large vocabulary results in serious data sparseness problems. In order to cope with this drawback, previous studies in various application areas suggest modified language models based on different morphological units. It is reported that performance improvements can be achieved with these modified language models. In our document categorization experiments, we use standard word form based language models as well as other modified language models based on root words, root words and part-of-speech information, truncated word forms and character sequences. Additionally, to find an optimum parameter set, multiple tests are carried out with different language model orders and smoothing methods. Similar to previous studies on other tasks, our experimental results on categorization of Turkish documents reveal that applying linguistic preprocessing steps for language modeling provides improvements over standard language models to some extent. However, it is also observed that similar level of performance improvements can also be acquired by simpler character level or truncated word form models which are language independent.
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The Timing of Visual Object Categorization
Mack, Michael L.; Palmeri, Thomas J.
2011-01-01
An object can be categorized at different levels of abstraction: as natural or man-made, animal or plant, bird or dog, or as a Northern Cardinal or Pyrrhuloxia. There has been growing interest in understanding how quickly categorizations at different levels are made and how the timing of those perceptual decisions changes with experience. We specifically contrast two perspectives on the timing of object categorization at different levels of abstraction. By one account, the relative timing implies a relative timing of stages of visual processing that are tied to particular levels of object categorization: Fast categorizations are fast because they precede other categorizations within the visual processing hierarchy. By another account, the relative timing reflects when perceptual features are available over time and the quality of perceptual evidence used to drive a perceptual decision process: Fast simply means fast, it does not mean first. Understanding the short-term and long-term temporal dynamics of object categorizations is key to developing computational models of visual object recognition. We briefly review a number of models of object categorization and outline how they explain the timing of visual object categorization at different levels of abstraction. PMID:21811480
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Categorization of Survey Text Utilizing Natural Language Processing and Demographic Filtering
2017-09-01
primary topics into bins using more traditional visual text mining methods including Latent Dirichlet Allocation (LDA) (Blei, Ng, & Jordan, 2003...traditional visual text mining methods to identify primary topics among the comments. Once labels are determined, we use them to choose words or phrases...tm: Text Mining Package. Retrieved from https://CRAN.R-project.org/package=tm Grün, B., & Hornik, K. (2011). topicmodels: An R package for fitting
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Decision Making Under Uncertain Categorization
Directory of Open Access Journals (Sweden)
Stephanie Ying-Fen Chen
2014-09-01
Full Text Available Two experiments investigated how category information is used in decision making under uncertainty and whether the framing of category information influences how it is used. Subjects were presented with vignettes in which the categorization of a critical item was ambiguous and were asked to choose among a set of actions with the goal of attaining the desired outcome for the main character in the story. The normative decision making strategy was to base the decision on all possible categories; however, research on a related topic, category-based induction, has found that people often only consider a single category when making predictions when categorization is uncertain. These experiments found that subjects tend to consider multiple categories when making decisions, but do so both when it is and is not appropriate, suggesting that use of multiple categories is not driven by an understanding of what categories are and are not relevant to the decision. Similarly, although a framing manipulation increased the rate of multiple-category use, it did so in situations in which multiple-category use was and was not appropriate.
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Apfelbaum, Keith S; McMurray, Bob
2015-08-01
Traditional studies of human categorization often treat the processes of encoding features and cues as peripheral to the question of how stimuli are categorized. However, in domains where the features and cues are less transparent, how information is encoded prior to categorization may constrain our understanding of the architecture of categorization. This is particularly true in speech perception, where acoustic cues to phonological categories are ambiguous and influenced by multiple factors. Here, it is crucial to consider the joint contributions of the information in the input and the categorization architecture. We contrasted accounts that argue for raw acoustic information encoding with accounts that posit that cues are encoded relative to expectations, and investigated how two categorization architectures-exemplar models and back-propagation parallel distributed processing models-deal with each kind of information. Relative encoding, akin to predictive coding, is a form of noise reduction, so it can be expected to improve model accuracy; however, like predictive coding, the use of relative encoding in speech perception by humans is controversial, so results are compared to patterns of human performance, rather than on the basis of overall accuracy. We found that, for both classes of models, in the vast majority of parameter settings, relative cues greatly helped the models approximate human performance. This suggests that expectation-relative processing is a crucial precursor step in phoneme categorization, and that understanding the information content is essential to understanding categorization processes.
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TRANSIENT ELECTRONICS CATEGORIZATION
2017-08-24
AFRL-RY-WP-TR-2017-0169 TRANSIENT ELECTRONICS CATEGORIZATION Dr. Burhan Bayraktaroglu Devices for Sensing Branch Aerospace Components & Subsystems...SUBTITLE TRANSIENT ELECTRONICS CATEGORIZATION 5a. CONTRACT NUMBER In-house 5b. GRANT NUMBER N/A 5c. PROGRAM ELEMENT NUMBER N/A 6. AUTHOR(S) Dr. Burhan...88ABW-2017-3747, Clearance Date 31 July 2017. Paper contains color. 14. ABSTRACT Transient electronics is an emerging technology area that lacks proper
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Modelling individual difference in visual categorization.
Shen, Jianhong; Palmeri, Thomas J
Recent years has seen growing interest in understanding, characterizing, and explaining individual differences in visual cognition. We focus here on individual differences in visual categorization. Categorization is the fundamental visual ability to group different objects together as the same kind of thing. Research on visual categorization and category learning has been significantly informed by computational modeling, so our review will focus both on how formal models of visual categorization have captured individual differences and how individual difference have informed the development of formal models. We first examine the potential sources of individual differences in leading models of visual categorization, providing a brief review of a range of different models. We then describe several examples of how computational models have captured individual differences in visual categorization. This review also provides a bit of an historical perspective, starting with models that predicted no individual differences, to those that captured group differences, to those that predict true individual differences, and to more recent hierarchical approaches that can simultaneously capture both group and individual differences in visual categorization. Via this selective review, we see how considerations of individual differences can lead to important theoretical insights into how people visually categorize objects in the world around them. We also consider new directions for work examining individual differences in visual categorization.
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Categorical Perception of Lexical Tones in Mandarin-speaking Congenital Amusics
Directory of Open Access Journals (Sweden)
Wan Ting Huang
2015-06-01
Full Text Available Previous research suggests that within Mandarin-speaking congenital amusics, only a subgroup has behavioral lexical tone perception impairments (tone agnosia, whereas the rest of amusics do not. The purpose of the current study was to investigate the categorical nature of lexical tone perception in Mandarin-speaking amusics with and without behavioral lexical tone deficits. Three groups of listeners (controls, pure amusics and amusics with tone agnosia participated in tone identification and discrimination tasks. Indexes of the categorical perception of a physical continuum of fundamental frequencies ranging from a rising to level tone were measured. Specifically, the stimulus durations were manipulated at 100 and 200 ms. For both stimulus durations, all groups exhibited similar categorical boundaries. The pure amusics showed sharp identification slopes and significantly peaked discrimination functions similar to those of normal controls. However, such essential characteristics for the categorical perception of lexical tones were not observed in amusics with tone agnosia. An enlarged step-size from 20 Hz to 35 Hz was not able to produce any discrimination peaks in tone agnosics either. The current study revealed that only amusics with tone agnosia showed a lack of categorical tone perception, while the pure amusics demonstrated typical categorical perception of lexical tones, indicating that the deficit of pitch processing in music does not necessarily result in the deficit in the categorical perception of lexical tones. The different performance between congenital amusics with and without tone agnosia provides a new perspective on the proposition of the relationship between music and speech perception.
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Longitudinal categorical data analysis
Sutradhar, Brajendra C
2014-01-01
This is the first book in longitudinal categorical data analysis with parametric correlation models developed based on dynamic relationships among repeated categorical responses. This book is a natural generalization of the longitudinal binary data analysis to the multinomial data setup with more than two categories. Thus, unlike the existing books on cross-sectional categorical data analysis using log linear models, this book uses multinomial probability models both in cross-sectional and longitudinal setups. A theoretical foundation is provided for the analysis of univariate multinomial responses, by developing models systematically for the cases with no covariates as well as categorical covariates, both in cross-sectional and longitudinal setups. In the longitudinal setup, both stationary and non-stationary covariates are considered. These models have also been extended to the bivariate multinomial setup along with suitable covariates. For the inferences, the book uses the generalized quasi-likelihood as w...
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Classifying Written Texts Through Rhythmic Features
Balint, Mihaela; Dascalu, Mihai; Trausan-Matu, Stefan
2016-01-01
Rhythm analysis of written texts focuses on literary analysis and it mainly considers poetry. In this paper we investigate the relevance of rhythmic features for categorizing texts in prosaic form pertaining to different genres. Our contribution is threefold. First, we define a set of rhythmic
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Locale-Specific Categorization of IT Projects for Proper Project Management
Directory of Open Access Journals (Sweden)
Muhammad Nasir
2015-12-01
Full Text Available In this paper we aim to show that not only are the project management techniques important for small-scale projects, but following proper project management techniques is one of the most important requirements. However, there come slight variations in implementing project management techniques in small projects as compared with larger projects. Therefore, proper categorization of projects holds the key to success in many situations. Our paper will show that categorization of a project as small-scale or large-scale should always be locale specific. In this regards, we develop a criteria and evaluate how the projects are categorized as small-scale and large-scale in different parts of the world with focus on IT projects. This research concludes that some methods cannot be used for projects of different scales.
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Efficient Active Sensing with Categorized Further Explorations for a Home Behavior-Monitoring Robot
Directory of Open Access Journals (Sweden)
Wenwei Yu
2017-01-01
Full Text Available Mobile robotics is a potential solution to home behavior monitoring for the elderly. For a mobile robot in the real world, there are several types of uncertainties for its perceptions, such as the ambiguity between a target object and the surrounding objects and occlusions by furniture. The problem could be more serious for a home behavior-monitoring system, which aims to accurately recognize the activity of a target person, in spite of these uncertainties. It detects irregularities and categorizes situations requiring further explorations, which strategically maximize the information needed for activity recognition while minimizing the costs. Two schemes of active sensing, based on two irregularity detections, namely, heuristic-based and template-matching-based irregularity detections, were implemented and examined for body contour-based activity recognition. Their time cost and accuracy in activity recognition were evaluated through experiments in both a controlled scenario and a home living scenario. Experiment results showed that the categorized further explorations guided the robot system to sense the target person actively. As a result, with the proposed approach, the robot system has achieved higher accuracy of activity recognition.
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Categorization = Decision Making + Generalization
Seger, Carol A; Peterson, Erik J.
2013-01-01
We rarely, if ever, repeatedly encounter exactly the same situation. This makes generalization crucial for real world decision making. We argue that categorization, the study of generalizable representations, is a type of decision making, and that categorization learning research would benefit from approaches developed to study the neuroscience of decision making. Similarly, methods developed to examine generalization and learning within the field of categorization may enhance decision making research. We first discuss perceptual information processing and integration, with an emphasis on accumulator models. We then examine learning the value of different decision making choices via experience, emphasizing reinforcement learning modeling approaches. Next we discuss how value is combined with other factors in decision making, emphasizing the effects of uncertainty. Finally, we describe how a final decision is selected via thresholding processes implemented by the basal ganglia and related regions. We also consider how memory related functions in the hippocampus may be integrated with decision making mechanisms and contribute to categorization. PMID:23548891
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The Characteristics and Limits of Rapid Visual Categorization
Fabre-Thorpe, Michèle
2011-01-01
Visual categorization appears both effortless and virtually instantaneous. The study by Thorpe et al. (1996) was the first to estimate the processing time necessary to perform fast visual categorization of animals in briefly flashed (20 ms) natural photographs. They observed a large differential EEG activity between target and distracter correct trials that developed from 150 ms after stimulus onset, a value that was later shown to be even shorter in monkeys! With such strong processing time constraints, it was difficult to escape the conclusion that rapid visual categorization was relying on massively parallel, essentially feed-forward processing of visual information. Since 1996, we have conducted a large number of studies to determine the characteristics and limits of fast visual categorization. The present chapter will review some of the main results obtained. I will argue that rapid object categorizations in natural scenes can be done without focused attention and are most likely based on coarse and unconscious visual representations activated with the first available (magnocellular) visual information. Fast visual processing proved efficient for the categorization of large superordinate object or scene categories, but shows its limits when more detailed basic representations are required. The representations for basic objects (dogs, cars) or scenes (mountain or sea landscapes) need additional processing time to be activated. This finding is at odds with the widely accepted idea that such basic representations are at the entry level of the system. Interestingly, focused attention is still not required to perform these time consuming basic categorizations. Finally we will show that object and context processing can interact very early in an ascending wave of visual information processing. We will discuss how such data could result from our experience with a highly structured and predictable surrounding world that shaped neuronal visual selectivity. PMID
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Temporal and Spatial Categorization in Human and Non-Human Primates
Directory of Open Access Journals (Sweden)
Juan Carlos eMendez
2011-09-01
Full Text Available It has been proposed that a functional overlap exists in the brain for temporal and spatial information processing. To test this, we designed two relative categorization tasks in which human subjects and a Rhesus monkey had to assign time intervals or distances to a ‘short’ or ‘long’ category according to varying prototypes. The performance of both species was analyzed using psychometric techniques that showed that they may have similar perceptual, memory and/or decision mechanisms, specially for the estimation of time intervals. We also did a correlation analysis with human subjects’ psychometric thresholds and the results imply that indeed, temporal and spatial information categorization share neural substrates. However, not all of the tested distances and intervals correlated with each other, suggesting the existence of sub-circuits that process restricted ranges of distances and intervals. A different analysis was done on the monkey data, in which the influence of the previous categorical prototypes was measured on the task currently being performed. Again, we found a significant interaction between previous and current interval and distance categorization. Overall, the present paper points towards common or at least partially overlapped neural circuits for temporal and spatial categorization in primates.
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INNOVATIVE DEVELOPMENT OF EDUCATIONAL SYSTEMS: CATEGORICAL MEANING
Directory of Open Access Journals (Sweden)
Natalia Tretyak
2017-06-01
Full Text Available This article discusses the concept of «development», «innovation» and «innovation development» in relation to the educational systems, as to create a new conceptual framework for quality education. Peculiarities of development of educational systems. Correlation concepts «organization development» and «innovation», defined birth of innovation as syncope in music. On the basis of the study given to the notion of innovation development of educational systems and identified conditions for their successful innovation development.
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Detecting and Categorizing Fleeting Emotions in Faces
Sweeny, Timothy D.; Suzuki, Satoru; Grabowecky, Marcia; Paller, Ken A.
2013-01-01
Expressions of emotion are often brief, providing only fleeting images from which to base important social judgments. We sought to characterize the sensitivity and mechanisms of emotion detection and expression categorization when exposure to faces is very brief, and to determine whether these processes dissociate. Observers viewed 2 backward-masked facial expressions in quick succession, 1 neutral and the other emotional (happy, fearful, or angry), in a 2-interval forced-choice task. On each trial, observers attempted to detect the emotional expression (emotion detection) and to classify the expression (expression categorization). Above-chance emotion detection was possible with extremely brief exposures of 10 ms and was most accurate for happy expressions. We compared categorization among expressions using a d′ analysis, and found that categorization was usually above chance for angry versus happy and fearful versus happy, but consistently poor for fearful versus angry expressions. Fearful versus angry categorization was poor even when only negative emotions (fearful, angry, or disgusted) were used, suggesting that this categorization is poor independent of decision context. Inverting faces impaired angry versus happy categorization, but not emotion detection, suggesting that information from facial features is used differently for emotion detection and expression categorizations. Emotion detection often occurred without expression categorization, and expression categorization sometimes occurred without emotion detection. These results are consistent with the notion that emotion detection and expression categorization involve separate mechanisms. PMID:22866885
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Categorical database generalization in GIS
Liu, Y.
2002-01-01
Key words: Categorical database, categorical database generalization, Formal data structure, constraints, transformation unit, classification hierarchy, aggregation hierarchy, semantic similarity, data model,
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International Nuclear Information System (INIS)
Weldon, W.F.; Rylander, H.G.; Woodson, H.H.
1977-01-01
The Texas Experimental Tokamak (TEXT) Enery Storage System, designed by the Center for Electromechanics (CEM), consists of four 50 MJ, 125 V homopolar generators and their auxiliaries and is designed to power the toroidal and poloidal field coils of TEXT on a two-minute duty cycle. The four 50 MJ generators connected in series were chosen because they represent the minimum cost configuration and also represent a minimal scale up from the successful 5.0 MJ homopolar generator designed, built, and operated by the CEM
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Detecting and categorizing fleeting emotions in faces.
Sweeny, Timothy D; Suzuki, Satoru; Grabowecky, Marcia; Paller, Ken A
2013-02-01
Expressions of emotion are often brief, providing only fleeting images from which to base important social judgments. We sought to characterize the sensitivity and mechanisms of emotion detection and expression categorization when exposure to faces is very brief, and to determine whether these processes dissociate. Observers viewed 2 backward-masked facial expressions in quick succession, 1 neutral and the other emotional (happy, fearful, or angry), in a 2-interval forced-choice task. On each trial, observers attempted to detect the emotional expression (emotion detection) and to classify the expression (expression categorization). Above-chance emotion detection was possible with extremely brief exposures of 10 ms and was most accurate for happy expressions. We compared categorization among expressions using a d' analysis, and found that categorization was usually above chance for angry versus happy and fearful versus happy, but consistently poor for fearful versus angry expressions. Fearful versus angry categorization was poor even when only negative emotions (fearful, angry, or disgusted) were used, suggesting that this categorization is poor independent of decision context. Inverting faces impaired angry versus happy categorization, but not emotion detection, suggesting that information from facial features is used differently for emotion detection and expression categorizations. Emotion detection often occurred without expression categorization, and expression categorization sometimes occurred without emotion detection. These results are consistent with the notion that emotion detection and expression categorization involve separate mechanisms. PsycINFO Database Record (c) 2013 APA, all rights reserved.
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Analysis of Ordinal Categorical Data
Agresti, Alan
2012-01-01
Statistical science's first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy. Analysis of Ordinal Categorical Data, Second Edition provides an introduction to basic descriptive and inferential methods for categorical data, giving thorough coverage of new developments and recent methods. Special emphasis is placed on interpretation and application of methods including an integrated comparison of the available st
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Towards a Categorical Account of Conditional Probability
Directory of Open Access Journals (Sweden)
Robert Furber
2015-11-01
Full Text Available This paper presents a categorical account of conditional probability, covering both the classical and the quantum case. Classical conditional probabilities are expressed as a certain "triangle-fill-in" condition, connecting marginal and joint probabilities, in the Kleisli category of the distribution monad. The conditional probabilities are induced by a map together with a predicate (the condition. The latter is a predicate in the logic of effect modules on this Kleisli category. This same approach can be transferred to the category of C*-algebras (with positive unital maps, whose predicate logic is also expressed in terms of effect modules. Conditional probabilities can again be expressed via a triangle-fill-in property. In the literature, there are several proposals for what quantum conditional probability should be, and also there are extra difficulties not present in the classical case. At this stage, we only describe quantum systems with classical parametrization.
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Hierarchical Rhetorical Sentence Categorization for Scientific Papers
Rachman, G. H.; Khodra, M. L.; Widyantoro, D. H.
2018-03-01
Important information in scientific papers can be composed of rhetorical sentences that is structured from certain categories. To get this information, text categorization should be conducted. Actually, some works in this task have been completed by employing word frequency, semantic similarity words, hierarchical classification, and the others. Therefore, this paper aims to present the rhetorical sentence categorization from scientific paper by employing TF-IDF and Word2Vec to capture word frequency and semantic similarity words and employing hierarchical classification. Every experiment is tested in two classifiers, namely Naïve Bayes and SVM Linear. This paper shows that hierarchical classifier is better than flat classifier employing either TF-IDF or Word2Vec, although it increases only almost 2% from 27.82% when using flat classifier until 29.61% when using hierarchical classifier. It shows also different learning model for child-category can be built by hierarchical classifier.
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The timing system on the J-TEXT tokamak
International Nuclear Information System (INIS)
Zheng, Wei; Zhang, Ming; Zhuang, Ge; Ding, Tonghai; Huang, Fuqiang; Shan, Lingjie
2014-01-01
Highlights: •The timing system achieved tree structured timing network with only one type of timing module. •This system is integrated into J-TEXT COADC which is an EPICS based control system. •This system handles multiple timing sequences and events. •This system has been deployed on J-TEXT and working properly in daily experiments. -- Abstract: This paper describes the timing system designed to control the operation time-sequence and to generate clocks for various sub-systems on J-TEXT tokamak. The J-TEXT timing system is organized as a distributed system which is connected by a tree-structured optical fiber network. It can generate delayed triggers and gate signals (0 μs–4000 s), while providing reference clocks for other sub-systems. Besides, it provides event handling and timestamping functions. It is integrated into the J-TEXT Control, Data Access and Communication (J-TEXT CODAC) system, and it can be monitored and configured by Experimental Physics and Industrial Control System (EPICS). The configuration of this system including tree-structured network is managed in XML files by dedicated management software. This system has already been deployed on J-TEXT tokamak and it is serving J-TEXT in daily experiments
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The new control system of J-TEXT divertor power supply system using J-TEXT real-time framework
Energy Technology Data Exchange (ETDEWEB)
Zhang, Ming; Zheng, Guozhen; Chen, Zhi [State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074 (China); College of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074 (China); Zheng, Wei, E-mail: zhengwei@hust.edu.cn [State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074 (China); College of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074 (China); Yuan, Tao; Li, Yang [State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074 (China); College of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074 (China)
2016-11-15
Highlights: • The most highlight of this paper is the J-TEXT Real-Time Framework (JRTF). JRTF is a flexible real-time software framework which allows users to develop real-time applications rapidly without compromise on the performance. It makes a clear separation between control functions and hard/software administration, developers just need to focus on the control logic and algorithms. • The JRTF based control system can achieve a precise control loop cycle of 1 ms and a jitter under 0.01 ms on Linux operation system. The real-time performance meets the requirement of the real-time control tasks in J-TEXT. • Several days of operation with no faults were already achieved with the system running and in real-time 8 h per day. The stability of the new system is qualified for discharging experiment. - Abstract: The J-TEXT divertor power supply system is designed as a parallel connection, 12-pulse rectifier which is powered by a 100 MVA pulse generator unit. To achieve robust current feedback control, high performance real-time control system is required. The new control system adopts a more powerful software framework named J-TEXT real-time framework (JRTF). JRTF is a flexible real-time software framework designed for the implementation of real-time control systems. A JRTF application contains various Application Blocks (AB) which execute specific functions such as feedback computing and protection. JRTF is compatible with ITER standard PFC (Plant Fast Controller) hardware and ITER CODAC (Control, Data Access and Communication) Core software, so it can be monitored and configured by any EPICS based control system. The hardware of the new control system is upgraded to standard ITER fast controller which are much faster and more reliable than former controllers. This control system is the first application of JRTF, and the result shows that the new control system is running properly and stably. It provides an instance for real-time control schemes in J-TEXT, and
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The new control system of J-TEXT divertor power supply system using J-TEXT real-time framework
International Nuclear Information System (INIS)
Zhang, Ming; Zheng, Guozhen; Chen, Zhi; Zheng, Wei; Yuan, Tao; Li, Yang
2016-01-01
Highlights: • The most highlight of this paper is the J-TEXT Real-Time Framework (JRTF). JRTF is a flexible real-time software framework which allows users to develop real-time applications rapidly without compromise on the performance. It makes a clear separation between control functions and hard/software administration, developers just need to focus on the control logic and algorithms. • The JRTF based control system can achieve a precise control loop cycle of 1 ms and a jitter under 0.01 ms on Linux operation system. The real-time performance meets the requirement of the real-time control tasks in J-TEXT. • Several days of operation with no faults were already achieved with the system running and in real-time 8 h per day. The stability of the new system is qualified for discharging experiment. - Abstract: The J-TEXT divertor power supply system is designed as a parallel connection, 12-pulse rectifier which is powered by a 100 MVA pulse generator unit. To achieve robust current feedback control, high performance real-time control system is required. The new control system adopts a more powerful software framework named J-TEXT real-time framework (JRTF). JRTF is a flexible real-time software framework designed for the implementation of real-time control systems. A JRTF application contains various Application Blocks (AB) which execute specific functions such as feedback computing and protection. JRTF is compatible with ITER standard PFC (Plant Fast Controller) hardware and ITER CODAC (Control, Data Access and Communication) Core software, so it can be monitored and configured by any EPICS based control system. The hardware of the new control system is upgraded to standard ITER fast controller which are much faster and more reliable than former controllers. This control system is the first application of JRTF, and the result shows that the new control system is running properly and stably. It provides an instance for real-time control schemes in J-TEXT, and
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Pietraszewski, David; Cosmides, Leda; Tooby, John
2014-01-01
Humans in all societies form and participate in cooperative alliances. To successfully navigate an alliance-laced world, the human mind needs to detect new coalitions and alliances as they emerge, and predict which of many potential alliance categories are currently organizing an interaction. We propose that evolution has equipped the mind with cognitive machinery that is specialized for performing these functions: an alliance detection system. In this view, racial categories do not exist because skin color is perceptually salient; they are constructed and regulated by the alliance system in environments where race predicts social alliances and divisions. Early tests using adversarial alliances showed that the mind spontaneously detects which individuals are cooperating against a common enemy, implicitly assigning people to rival alliance categories based on patterns of cooperation and competition. But is social antagonism necessary to trigger the categorization of people by alliance—that is, do we cognitively link A and B into an alliance category only because they are jointly in conflict with C and D? We report new studies demonstrating that peaceful cooperation can trigger the detection of new coalitional alliances and make race fade in relevance. Alliances did not need to be marked by team colors or other perceptually salient cues. When race did not predict the ongoing alliance structure, behavioral cues about cooperative activities up-regulated categorization by coalition and down-regulated categorization by race, sometimes eliminating it. Alliance cues that sensitively regulated categorization by coalition and race had no effect on categorization by sex, eliminating many alternative explanations for the results. The results support the hypothesis that categorizing people by their race is a reversible product of a cognitive system specialized for detecting alliance categories and regulating their use. Common enemies are not necessary to erase important
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Pietraszewski, David; Cosmides, Leda; Tooby, John
2014-01-01
Humans in all societies form and participate in cooperative alliances. To successfully navigate an alliance-laced world, the human mind needs to detect new coalitions and alliances as they emerge, and predict which of many potential alliance categories are currently organizing an interaction. We propose that evolution has equipped the mind with cognitive machinery that is specialized for performing these functions: an alliance detection system. In this view, racial categories do not exist because skin color is perceptually salient; they are constructed and regulated by the alliance system in environments where race predicts social alliances and divisions. Early tests using adversarial alliances showed that the mind spontaneously detects which individuals are cooperating against a common enemy, implicitly assigning people to rival alliance categories based on patterns of cooperation and competition. But is social antagonism necessary to trigger the categorization of people by alliance--that is, do we cognitively link A and B into an alliance category only because they are jointly in conflict with C and D? We report new studies demonstrating that peaceful cooperation can trigger the detection of new coalitional alliances and make race fade in relevance. Alliances did not need to be marked by team colors or other perceptually salient cues. When race did not predict the ongoing alliance structure, behavioral cues about cooperative activities up-regulated categorization by coalition and down-regulated categorization by race, sometimes eliminating it. Alliance cues that sensitively regulated categorization by coalition and race had no effect on categorization by sex, eliminating many alternative explanations for the results. The results support the hypothesis that categorizing people by their race is a reversible product of a cognitive system specialized for detecting alliance categories and regulating their use. Common enemies are not necessary to erase important social
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Biostatistics series module 4: Comparing groups - categorical variables
Directory of Open Access Journals (Sweden)
Avijit Hazra
2016-01-01
Full Text Available Categorical variables are commonly represented as counts or frequencies. For analysis, such data are conveniently arranged in contingency tables. Conventionally, such tables are designated as r × c tables, with r denoting number of rows and c denoting number of columns. The Chi-square (χ2 probability distribution is particularly useful in analyzing categorical variables. A number of tests yield test statistics that fit, at least approximately, a χ2 distribution and hence are referred to as χ2 tests. Examples include Pearson′s χ2 test (or simply the χ2 test, McNemar′s χ2 test, Mantel-Haenszel χ2 test and others. The Pearson′s χ2 test is the most commonly used test for assessing difference in distribution of a categorical variable between two or more independent groups. If the groups are ordered in some manner, the χ2 test for trend should be used. The Fisher′s exact probability test is a test of the independence between two dichotomous categorical variables. It provides a better alternative to the χ2 statistic to assess the difference between two independent proportions when numbers are small, but cannot be applied to a contingency table larger than a two-dimensional one. The McNemar′s χ2 test assesses the difference between paired proportions. It is used when the frequencies in a 2 × 2 table represent paired samples or observations. The Cochran′s Q test is a generalization of the McNemar′s test that compares more than two related proportions. The P value from the χ2 test or its counterparts does not indicate the strength of the difference or association between the categorical variables involved. This information can be obtained from the relative risk or the odds ratio statistic which is measures of dichotomous association obtained from 2 × 2 tables.
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Comparison and Contrast in Perceptual Categorization
Hampton, James A.; Estes, Zachary; Simmons, Claire L.
2005-01-01
People categorized pairs of perceptual stimuli that varied in both category membership and pairwise similarity. Experiments 1 and 2 showed categorization of 1 color of a pair to be reliably contrasted from that of the other. This similarity-based contrast effect occurred only when the context stimulus was relevant for the categorization of the…
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Duality Theory and Categorical Universal Logic: With Emphasis on Quantum Structures
Directory of Open Access Journals (Sweden)
Yoshihiro Maruyama
2014-12-01
Full Text Available Categorical Universal Logic is a theory of monad-relativised hyperdoctrines (or fibred universal algebras, which in particular encompasses categorical forms of both first-order and higher-order quantum logics as well as classical, intuitionistic, and diverse substructural logics. Here we show there are those dual adjunctions that have inherent hyperdoctrine structures in their predicate functor parts. We systematically investigate into the categorical logics of dual adjunctions by utilising Johnstone-Dimov-Tholen's duality-theoretic framework. Our set-theoretical duality-based hyperdoctrines for quantum logic have both universal and existential quantifiers (and higher-order structures, giving rise to a universe of Takeuti-Ozawa's quantum sets via the tripos-to-topos construction by Hyland-Johnstone-Pitts. The set-theoretical hyperdoctrinal models of quantum logic, as well as all quantum hyperdoctrines with cartesian base categories, turn out to give sound and complete semantics for Faggian-Sambin's first-order quantum sequent calculus over cartesian type theory; in addition, quantum hyperdoctrines with monoidal base categories are sound and complete for the calculus over linear type theory. We finally consider how to reconcile Birkhoff-von Neumann's quantum logic and Abramsky-Coecke's categorical quantum mechanics (which is modernised quantum logic as an antithesis to the traditional one via categorical universal logic.
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Harel, Assaf; Bentin, Shlomo
2009-01-01
The type of visual information needed for categorizing faces and nonface objects was investigated by manipulating spatial frequency scales available in the image during a category verification task addressing basic and subordinate levels. Spatial filtering had opposite effects on faces and airplanes that were modulated by categorization level. The…
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Within-Category Advantage in Perceiving Color Contrast: A New Case of Categorical Perception
Directory of Open Access Journals (Sweden)
Chanyang Lee
2011-05-01
Full Text Available Categorical perception of color has conventionally been demonstrated as bringing advantage to the discrimination of equally spaced colors that belong to different lexical categories. The perceptual expansion of distance between categorically separable pairs and compression of that between categorically identical pairs have widely been demonstrated by quicker and more reliable detection of a unicolor image from lexically discrete backgrounds than term-sharing ones. Meanwhile, categorical effects that enhance performance in within-category condition have not been documented. The current study, however, found that comparing the degree of color contrasts inside two bicolor images is significantly faster and more accurate if the contrasting colors belonged to a single color term. This within-category advantage suggests that nondiscrete variation of hue inside one color category aids contrast judgment task while discrete lexical boundary impairs it. Consonant with the previous studies which document left-hemisphere dominance in categorical perception, the novel example of categorical effect was expressed only in the right visual field. Furthermore, significantly shorter reaction time was required for males than for females to make contrast judgment for a low contrast stimulus, but not for a high contrast target, suggesting possible gender difference in perceiving color contrast.
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Nobuoki, Eshima; Minoru, Tabata; Geng, Zhi; Department of Medical Information Analysis, Faculty of Medicine, Oita Medical University; Department of Applied Mathematics, Faculty of Engineering, Kobe University; Department of Probability and Statistics, Peking University
2001-01-01
This paper discusses path analysis of categorical variables with logistic regression models. The total, direct and indirect effects in fully recursive causal systems are considered by using model parameters. These effects can be explained in terms of log odds ratios, uncertainty differences, and an inner product of explanatory variables and a response variable. A study on food choice of alligators as a numerical exampleis reanalysed to illustrate the present approach.
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Working memory does not dissociate between different perceptual categorization tasks.
Lewandowsky, Stephan; Yang, Lee-Xieng; Newell, Ben R; Kalish, Michael L
2012-07-01
Working memory is crucial for many higher level cognitive functions, ranging from mental arithmetic to reasoning and problem solving. Likewise, the ability to learn and categorize novel concepts forms an indispensable part of human cognition. However, very little is known about the relationship between working memory and categorization. This article reports 2 studies that related people's working memory capacity (WMC) to their learning performance on multiple rule-based and information-integration perceptual categorization tasks. In both studies, structural equation modeling revealed a strong relationship between WMC and category learning irrespective of the requirement to integrate information across multiple perceptual dimensions. WMC was also uniformly related to people's ability to focus on the most task-appropriate strategy, regardless of whether or not that strategy involved information integration. Contrary to the predictions of the multiple systems view of categorization, working memory thus appears to underpin performance in both major classes of perceptual category-learning tasks. 2012 APA, all rights reserved
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Interpretable Categorization of Heterogeneous Time Series Data
Lee, Ritchie; Kochenderfer, Mykel J.; Mengshoel, Ole J.; Silbermann, Joshua
2017-01-01
We analyze data from simulated aircraft encounters to validate and inform the development of a prototype aircraft collision avoidance system. The high-dimensional and heterogeneous time series dataset is analyzed to discover properties of near mid-air collisions (NMACs) and categorize the NMAC encounters. Domain experts use these properties to better organize and understand NMAC occurrences. Existing solutions either are not capable of handling high-dimensional and heterogeneous time series datasets or do not provide explanations that are interpretable by a domain expert. The latter is critical to the acceptance and deployment of safety-critical systems. To address this gap, we propose grammar-based decision trees along with a learning algorithm. Our approach extends decision trees with a grammar framework for classifying heterogeneous time series data. A context-free grammar is used to derive decision expressions that are interpretable, application-specific, and support heterogeneous data types. In addition to classification, we show how grammar-based decision trees can also be used for categorization, which is a combination of clustering and generating interpretable explanations for each cluster. We apply grammar-based decision trees to a simulated aircraft encounter dataset and evaluate the performance of four variants of our learning algorithm. The best algorithm is used to analyze and categorize near mid-air collisions in the aircraft encounter dataset. We describe each discovered category in detail and discuss its relevance to aircraft collision avoidance.
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Miles, Sarah J; Matsuki, Kazunaga; Minda, John Paul
2014-07-01
Category learning is often characterized as being supported by two separate learning systems. A verbal system learns rule-defined (RD) categories that can be described using a verbal rule and relies on executive functions (EFs) to learn via hypothesis testing. A nonverbal system learns non-rule-defined (NRD) categories that cannot be described by a verbal rule and uses automatic, procedural learning. The verbal system is dominant in that adults tend to use it during initial learning but may switch to the nonverbal system when the verbal system is unsuccessful. The nonverbal system has traditionally been thought to operate independently of EFs, but recent studies suggest that EFs may play a role in the nonverbal system-specifically, to facilitate the transition away from the verbal system. Accordingly, continuously interfering with EFs during the categorization process, so that EFs are never fully available to facilitate the transition, may be more detrimental to the nonverbal system than is temporary EF interference. Participants learned an NRD or an RD category while EFs were untaxed, taxed temporarily, or taxed continuously. When EFs were continuously taxed during NRD categorization, participants were less likely to use a nonverbal categorization strategy than when EFs were temporarily taxed, suggesting that when EFs were unavailable, the transition to the nonverbal system was hindered. For the verbal system, temporary and continuous interference had similar effects on categorization performance and on strategy use, illustrating that EFs play an important but different role in each of the category-learning systems.
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Garg, Sachin K; Lyles, Courtney R; Ackerman, Sara; Handley, Margaret A; Schillinger, Dean; Gourley, Gato; Aulakh, Veenu; Sarkar, Urmimala
2016-02-06
Text messaging is an affordable, ubiquitous, and expanding mobile communication technology. However, safety net health systems in the United States that provide more care to uninsured and low-income patients may face additional financial and infrastructural challenges in utilizing this technology. Formative evaluations of texting implementation experiences are limited. We interviewed safety net health systems piloting texting initiatives to study facilitators and barriers to real-world implementation. We conducted telephone interviews with various stakeholders who volunteered from each of the eight California-based safety net systems that received external funding to pilot a texting-based program of their choosing to serve a primary care need. We developed a semi-structured interview guide based partly on the Consolidated Framework for Implementation Research (CFIR), which encompasses several domains: the intervention, individuals involved, contextual factors, and implementation process. We inductively and deductively (using CFIR) coded transcripts, and categorized themes into facilitators and barriers. We performed eight interviews (one interview per pilot site). Five sites had no prior texting experience. Sites applied texting for programs related to medication adherence and monitoring, appointment reminders, care coordination, and health education and promotion. No site texted patient-identifying health information, and most sites manually obtained informed consent from each participating patient. Facilitators of implementation included perceived enthusiasm from patients, staff and management belief that texting is patient-centered, and the early identification of potential barriers through peer collaboration among grantees. Navigating government regulations that protect patient privacy and guide the handling of protected health information emerged as a crucial barrier. A related technical challenge in five sites was the labor-intensive tracking and documenting
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Humanizing Outgroups Through Multiple Categorization
Prati, Francesca; Crisp, Richard J.; Meleady, Rose; Rubini, Monica
2016-01-01
In three studies, we examined the impact of multiple categorization on intergroup dehumanization. Study 1 showed that perceiving members of a rival university along multiple versus simple categorical dimensions enhanced the tendency to attribute human traits to this group. Study 2 showed that multiple versus simple categorization of immigrants increased the attribution of uniquely human emotions to them. This effect was explained by the sequential mediation of increased individuation of the outgroup and reduced outgroup threat. Study 3 replicated this sequential mediation model and introduced a novel way of measuring humanization in which participants generated attributes corresponding to the outgroup in a free response format. Participants generated more uniquely human traits in the multiple versus simple categorization conditions. We discuss the theoretical implications of these findings and consider their role in informing and improving efforts to ameliorate contemporary forms of intergroup discrimination. PMID:26984016
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Categorization and Searching of Color Images Using Mean Shift Algorithm
Directory of Open Access Journals (Sweden)
Prakash PANDEY
2009-07-01
Full Text Available Now a day’s Image Searching is still a challenging problem in content based image retrieval (CBIR system. Most CBIR system operates on all images without pre-sorting the images. The image search result contains many unrelated image. The aim of this research is to propose a new object based indexing system Based on extracting salient region representative from the image, categorizing the image into different types and search images that are similar to given query images.In our approach, the color features are extracted using the mean shift algorithm, a robust clustering technique, Dominant objects are obtained by performing region grouping of segmented thumbnails. The category for an image is generated automatically by analyzing the image for the presence of a dominant object. The images in the database are clustered based on region feature similarity using Euclidian distance. Placing an image into a category can help the user to navigate retrieval results more effectively. Extensive experimental results illustrate excellent performance.
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Categorical regression dose-response modeling
The goal of this training is to provide participants with training on the use of the U.S. EPA’s Categorical Regression soft¬ware (CatReg) and its application to risk assessment. Categorical regression fits mathematical models to toxicity data that have been assigned ord...
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Mehrotra, Abhishek; Sklar, David P; Tayal, Vivek S; Kocher, Keith E; Handel, Daniel A; Myles Riner, R
2010-12-01
This article is drawn from a report created for the American College of Emergency Physicians (ACEP) Emergency Department (ED) Categorization Task Force and also reflects the proceedings of a breakout session, "Beyond ED Categorization-Matching Networks to Patient Needs," at the 2010 Academic Emergency Medicine consensus conference, "Beyond Regionalization: Integrated Networks of Emergency Care." The authors describe a brief history of the significant national and state efforts at categorization and suggest reasons why many of these efforts failed to persevere or gain wider implementation. The history of efforts to categorize hospital (and ED) emergency services demonstrates recognition of the potential benefits of categorization, but reflects repeated failures to implement full categorization systems or limited excursions into categorization through licensing of EDs or designation of receiving and referral facilities. An understanding of the history of hospital and ED categorization could better inform current efforts to develop categorization schemes and processes. 2010 by the Society for Academic Emergency Medicine.
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SAW Classification Algorithm for Chinese Text Classification
Xiaoli Guo; Huiyu Sun; Tiehua Zhou; Ling Wang; Zhaoyang Qu; Jiannan Zang
2015-01-01
Considering the explosive growth of data, the increased amount of text data’s effect on the performance of text categorization forward the need for higher requirements, such that the existing classification method cannot be satisfied. Based on the study of existing text classification technology and semantics, this paper puts forward a kind of Chinese text classification oriented SAW (Structural Auxiliary Word) algorithm. The algorithm uses the special space effect of Chinese text where words...
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Students' Categorizations of Organic Compounds
Domin, Daniel S.; Al-Masum, Mohammad; Mensah, John
2008-01-01
Categorization is a fundamental psychological ability necessary for problem solving and many other higher-level cognitive tasks. In organic chemistry, students must establish groupings of different chemical compounds in order not only to solve problems, but also to understand course content. Classic models of categorization emphasize similarity as…
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Memory, reasoning and categorization: Parallels and common mechanisms
Directory of Open Access Journals (Sweden)
BRETT eHAYES
2014-06-01
Full Text Available Traditionally, memory, reasoning and categorization have been treated as separate components of human cognition. We challenge this distinction, arguing that there is broad scope for crossover between the methods and theories developed for each task. The links between memory and reasoning are illustrated in a review of two lines of research. The first takes theoretical ideas (two-process accounts and methodological tools (signal detection analysis, receiver operating characteristic curves from memory research and applies them to important issues in reasoning research: relations between induction and deduction, and the belief bias effect. The second line of research introduces a task in which subjects make either memory or reasoning judgments for the same set of stimuli. Other than broader generalization for reasoning than memory, the results were similar for the two tasks, across a variety of experimental stimuli and manipulations. It was possible to simultaneously explain performance on both tasks within a single cognitive architecture, based on exemplar-based comparisons of similarity. The final sections explore evidence for empirical and processing links between inductive reasoning and categorization and between categorization and recognition. An important implication is that progress in all three of these fields will be expedited by further investigation of the many commonalities between these tasks.
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Directory of Open Access Journals (Sweden)
Amir Ahmad
2016-01-01
Full Text Available The early diagnosis of breast cancer is an important step in a fight against the disease. Machine learning techniques have shown promise in improving our understanding of the disease. As medical datasets consist of data points which cannot be precisely assigned to a class, fuzzy methods have been useful for studying of these datasets. Sometimes breast cancer datasets are described by categorical features. Many fuzzy clustering algorithms have been developed for categorical datasets. However, in most of these methods Hamming distance is used to define the distance between the two categorical feature values. In this paper, we use a probabilistic distance measure for the distance computation among a pair of categorical feature values. Experiments demonstrate that the distance measure performs better than Hamming distance for Wisconsin breast cancer data.
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The effect of integration masking on visual processing in perceptual categorization.
Hélie, Sébastien
2017-08-01
Learning to recognize and categorize objects is an essential cognitive skill allowing animals to function in the world. However, animals rarely have access to a canonical view of an object in an uncluttered environment. Hence, it is essential to study categorization under noisy, degraded conditions. In this article, we explore how the brain processes categorization stimuli in low signal-to-noise conditions using multivariate pattern analysis. We used an integration masking paradigm with mask opacity of 50%, 60%, and 70% inside a magnetic resonance imaging scanner. The results show that mask opacity affects blood-oxygen-level dependent (BOLD) signal in visual processing areas (V1, V2, V3, and V4) but does not affect the BOLD signal in brain areas traditionally associated with categorization (prefrontal cortex, striatum, hippocampus). This suggests that when a stimulus is difficult to extract from its background (e.g., low signal-to-noise ratio), the visual system extracts the stimulus and that activity in areas typically associated with categorization are not affected by the difficulty level of the visual conditions. We conclude with implications of this result for research on visual attention, categorization, and the integration of these fields. Copyright © 2017 Elsevier Inc. All rights reserved.
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Positive Predictive Value of BI-RADS Categorization in an Asian Population
Directory of Open Access Journals (Sweden)
Yah-Yuen Tan
2004-07-01
Full Text Available The Breast Imaging Reporting And Data System (BI-RADS categorization of mammograms is useful in estimating the risk of malignancy, thereby guiding management decisions. However, in Asian women, in whom breast density is increased, the sensitivity of mammography is correspondingly lower. We sought to determine the positive predictive value of BI-RADS categorization for malignancy in our Asian population and, hence, its value in helping us to choose between the various modalities for breast biopsy. We retrospectively reviewed all patients with occult breast lesions detected on mammography or ultrasound who underwent needle-localization open breast biopsy (NLOB in our institution over a 6-year period. There were 470 biopsies in 427 patients; 16% of lesions were malignant. The positive predictive value of BI-RADS 4 and 5 lesions for cancer was 0.27 and 0.84, respectively. While most BI-RADS 5 mass lesions were invasive cancers, the majority of calcifications in this category were in situ carcinomas. We conclude that BI-RADS remains useful in aiding decision-making for biopsy in our Asian population. Based on positive predictive values, we recommend percutaneous breast biopsy for initial evaluation of lesions categorized as BI-RADS 4 or less. For BI-RADS 5 lesions with microcalcifications, open surgical biopsy as a diagnostic and therapeutic procedure may be more appropriate. In the case of a BI-RADS 5 lesion associated with a mass, initial percutaneous biopsy may be useful for diagnosis, followed by a planned single-stage surgical procedure as necessary.
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Dyslexic Participants Show Intact Spontaneous Categorization Processes
Nikolopoulos, Dimitris S.; Pothos, Emmanuel M.
2009-01-01
We examine the performance of dyslexic participants on an unsupervised categorization task against that of matched non-dyslexic control participants. Unsupervised categorization is a cognitive process critical for conceptual development. Existing research in dyslexia has emphasized perceptual tasks and supervised categorization tasks (for which…
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Methodology for categorization of nuclear material in pyroprocessing facility
Energy Technology Data Exchange (ETDEWEB)
Lee, Chanki; Choi, Sungyeol [UNIST, Ulsan (Korea, Republic of); Kim, Woo Jin; Kim, Min Su; Jeong, Yon Hong [Korea Institute of Nuclear Nonproliferation and Control, Daejeon (Korea, Republic of)
2016-10-15
For the pyroprocessing facility to be commercialized in future, current regulations should be evaluated and developed in advance, based on the new types of nuclear materials in the facility. Physical protection system, especially, requires reasonable and reliable categorization of nuclear materials, to prevent from the theft of nuclear materials. In this paper, therefore, current categorization methods of nuclear material are investigated and applied to the pyroprocessing facility. After inconsistencies and gaps are found among methods, they are compared and discussed based on eight considering points (i.e, degrees of attractiveness, levels of category, discount factor, physical barriers, chemical barriers, isotopic barriers, radiological barriers, and capabilities of adversaries), to roughly suggest a new method for categorization. Current categorization methods of nuclear material, including IAEA's INFCIRC/225, U.S. DOE's method, newly expected U.S. NRC's method, FOM, and Bunn's approach, are different and can bring inconsistencies of physical protection requirements. The gap among methods will be significant if advanced fuel cycles are applied to them for the future. For example, the categorization results of 5 target materials in pyroprocessing facility show clear inconsistencies, while TRU ingot is considered the most attractive material. To resolve inconsistencies, it is necessary to determine new method suitable to pyroproessing facility, by considering the effects of eight points (i.e, degrees of attractiveness, levels of category, discount factor, physical barriers, chemical barriers, isotopic barriers, radiological barriers, and capabilities of adversaries)
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Methodology for categorization of nuclear material in pyroprocessing facility
International Nuclear Information System (INIS)
Lee, Chanki; Choi, Sungyeol; Kim, Woo Jin; Kim, Min Su; Jeong, Yon Hong
2016-01-01
For the pyroprocessing facility to be commercialized in future, current regulations should be evaluated and developed in advance, based on the new types of nuclear materials in the facility. Physical protection system, especially, requires reasonable and reliable categorization of nuclear materials, to prevent from the theft of nuclear materials. In this paper, therefore, current categorization methods of nuclear material are investigated and applied to the pyroprocessing facility. After inconsistencies and gaps are found among methods, they are compared and discussed based on eight considering points (i.e, degrees of attractiveness, levels of category, discount factor, physical barriers, chemical barriers, isotopic barriers, radiological barriers, and capabilities of adversaries), to roughly suggest a new method for categorization. Current categorization methods of nuclear material, including IAEA's INFCIRC/225, U.S. DOE's method, newly expected U.S. NRC's method, FOM, and Bunn's approach, are different and can bring inconsistencies of physical protection requirements. The gap among methods will be significant if advanced fuel cycles are applied to them for the future. For example, the categorization results of 5 target materials in pyroprocessing facility show clear inconsistencies, while TRU ingot is considered the most attractive material. To resolve inconsistencies, it is necessary to determine new method suitable to pyroproessing facility, by considering the effects of eight points (i.e, degrees of attractiveness, levels of category, discount factor, physical barriers, chemical barriers, isotopic barriers, radiological barriers, and capabilities of adversaries)
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Speect: a multilingual text-to-speech system
CSIR Research Space (South Africa)
Louw, JA
2008-11-01
Full Text Available This paper introduces a new multilingual text-to-speech system, which we call Speect (Speech synthesis with extensible architecture), aiming to address the shortcomings of using Festival as a research sytem and Flite as a deployment system in a...
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Categorization of radiation sources
International Nuclear Information System (INIS)
Antonova, M.
2000-01-01
Through one-parameter (factor) analysis it is proved a hypothesis that the value of a radiation source (RS) activity of an application correlates with the category (the rank) given to it by the IAEA categorization although it is based on other parameters of the RS applications (practices like devices with radiation sources in industry, science, medicine and agriculture). The principles of the new IAEA categorization, taking into account the potential harm the sources may cause and the necessary regulatory control, are described. (author)
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Categorical Data Analysis With Sas and Spss Applications
Lawal, H Bayo
2003-01-01
This book covers the fundamental aspects of categorical data analysis with an emphasis on how to implement the models used in the book using SAS and SPSS. This is accomplished through the frequent use of examples, with relevant codes and instructions, that are closely related to the problems in the text. Concepts are explained in detail so that students can reproduce similar results on their own. Beginning with chapter two, exercises at the end of each chapter further strengthen students' understanding of the concepts by requiring them to apply some of the ideas expressed in the text in a more
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La categoría del paisaje cultural
Directory of Open Access Journals (Sweden)
Luis Álvarez Munárriz
2011-01-01
Full Text Available En este texto se pone de manifiesto el giro hacia el paisaje que se está produciendo en nuestra sociedad con la aparición de la conciencia medioambiental. Se considera un concepto clave para entender el territorio que habita la gente. Se postula una visión integral del paisaje. Y se defi ende la necesidad de recuperar pero también actualizar la categoría clásica en Antropología de paisaje cultural.
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Gantwerker, Eric A; Bannos, Cassandra; Cunningham, Michael J; Rahbar, Reza
2017-01-01
To describe a surgical categorization system to create a universal nomenclature, delineating patient complexity as a first step toward developing a true risk stratification system. Retrospective database review of all otolaryngology surgical procedures performed in a tertiary pediatric hospital system over one academic year (July 2012-June 2013). All otolaryngology surgical procedures were reviewed, encompassing 8478 procedures on 5711 patients. The attending otolaryngologist assigned surgical scheduling category (SSCS) at the time of case booking based on an institution specific guidelines. The guidelines are as follow: Category I was assigned to American Society of Anesthesiologists physical status classification (ASA) I/II patients, designating them appropriate for institution's suburban ambulatory surgery centers; Category II was ASA I/II patients with social or transportation issues; Category III was ASA I/II patients who required case coordination with other medical or surgical departments; Category IV was reserved for patients of any ASA class whom the surgeon designated to be of a higher complexity. 8478 total procedures analyzed with 7198 having complete records. 48% were Category I, 13.6% were Category II, 1.9% were Category III and 36.5% were Category IV. The ASA were 34.7% ASA I, 50% ASA II, 13.39% ASA III, and 1.9% ASA IV. Although the largest proportion of patients were ASA II (50%), 39.6% of all ASA II were Category IV. Category IV was split into 54.2% ASA II and 34% ASA III and shows that peri-operative surgical concerns were not encompassed by the ASA system. This surgical categorization system streamlines surgical scheduling in a tertiary pediatric hospital system, particularly with respect to the designation of cases as ambulatory surgery center or main operating room appropriate. The case mix complexity is also readily apparent, enhancing recognition of the coordination and attention required for the perioperative management of high complexity
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Licensing criteria for particle accelerators categorization
International Nuclear Information System (INIS)
Costa, Evaldo L.C. da
2013-01-01
From the international experience of research centers in various parts of the world, where there are particle accelerators of various sizes and energies, it was found that operating energy of particle accelerators is one of the parameters used by categorization models in the licensing of these radiation facilities, and the facility size is an important aspect to be considered in this model. A categorization based on these two key parameters is presented, also taking into account the kinds of accelerated particles and radiation produced, the operating related technology and the possible applications concerned. The categorization models of national nuclear authorities of five countries are reviewed, emphasizing the contribution of Brazil, and the new model proposed is also based on the experience of these countries, modified by those two parameter discussed above: facility size and operating energy of particle accelerators. Later, some changes are suggested, considering risk factors and safety features related to these facilities, emphasizing some analytical tools commonly used in nuclear facilities and chemical plants, such as: risk-informing decision making, layer of protection analysis (LOPRA) and safety integrity levels (SIL), the two latter ones having its origin in the broader concept of system safety. We also discuss the problem of scarcity of reliability data (common in the analyses involving risk factors and safety), due to security concerns and other factors, being the possible alternative solutions the use of generic databases and the adoption of reference facilities that provide partial data publicly. (author).
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Licensing criteria for particle accelerators categorization
Energy Technology Data Exchange (ETDEWEB)
Costa, Evaldo L.C. da, E-mail: evaldo@cnen.gov.br [Comissao Nacional de Energia Nuclear (CNEN-RJ), Rio de Janeiro, RJ (Brazil). Dir. de Radioprotecao e Seguranca; Melo, Paulo F.F. Frutuoso e, E-mail: frutuoso@nuclear.ufrj.br [Coordenacao dos Programas de Pos-Graduacao em Engenharia (COPPE/UFRJ), Rio de Janeiro, RJ (Brazil)
2013-07-01
From the international experience of research centers in various parts of the world, where there are particle accelerators of various sizes and energies, it was found that operating energy of particle accelerators is one of the parameters used by categorization models in the licensing of these radiation facilities, and the facility size is an important aspect to be considered in this model. A categorization based on these two key parameters is presented, also taking into account the kinds of accelerated particles and radiation produced, the operating related technology and the possible applications concerned. The categorization models of national nuclear authorities of five countries are reviewed, emphasizing the contribution of Brazil, and the new model proposed is also based on the experience of these countries, modified by those two parameter discussed above: facility size and operating energy of particle accelerators. Later, some changes are suggested, considering risk factors and safety features related to these facilities, emphasizing some analytical tools commonly used in nuclear facilities and chemical plants, such as: risk-informing decision making, layer of protection analysis (LOPRA) and safety integrity levels (SIL), the two latter ones having its origin in the broader concept of system safety. We also discuss the problem of scarcity of reliability data (common in the analyses involving risk factors and safety), due to security concerns and other factors, being the possible alternative solutions the use of generic databases and the adoption of reference facilities that provide partial data publicly. (author).
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An attempt to categorize Hungarian community currencies
Directory of Open Access Journals (Sweden)
Eszter Szemerédi
2018-04-01
Full Text Available Since the emergence of complementary currencies in the 1980s there have been numerous attempts to classify them, despite that the terms local currency, community currency and many others describing place-based monetary tools are not considered similarly by scholars. The local currencies take many forms, and local governments play different roles in their emergence and development. In Hungary there has been an increasing attention and discussion around the idea of implementing these alternative monetary tools. There is a growing number of working complementary currencies in Hungary, but academic research focuses mostly on whether these can contribute to the local development and what kind of effects they have. The aim of this paper is to present a possible categorization of Hungarian complementary currencies based on the role local governments played in their implementation. I evaluate whether these community currencies are effective at first, and attempt to categorize them based on their purpose, association form and their relationships with local governments, with the purpose of increasing awareness for these initiatives in the process of policy-making.
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Anterior Temporal Lobe Morphometry Predicts Categorization Ability.
Garcin, Béatrice; Urbanski, Marika; Thiebaut de Schotten, Michel; Levy, Richard; Volle, Emmanuelle
2018-01-01
Categorization is the mental operation by which the brain classifies objects and events. It is classically assessed using semantic and non-semantic matching or sorting tasks. These tasks show a high variability in performance across healthy controls and the cerebral bases supporting this variability remain unknown. In this study we performed a voxel-based morphometry study to explore the relationships between semantic and shape categorization tasks and brain morphometric differences in 50 controls. We found significant correlation between categorization performance and the volume of the gray matter in the right anterior middle and inferior temporal gyri. Semantic categorization tasks were associated with more rostral temporal regions than shape categorization tasks. A significant relationship was also shown between white matter volume in the right temporal lobe and performance in the semantic tasks. Tractography revealed that this white matter region involved several projection and association fibers, including the arcuate fasciculus, inferior fronto-occipital fasciculus, uncinate fasciculus, and inferior longitudinal fasciculus. These results suggest that categorization abilities are supported by the anterior portion of the right temporal lobe and its interaction with other areas.
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An Affinity Propagation Clustering Algorithm for Mixed Numeric and Categorical Datasets
Directory of Open Access Journals (Sweden)
Kang Zhang
2014-01-01
Full Text Available Clustering has been widely used in different fields of science, technology, social science, and so forth. In real world, numeric as well as categorical features are usually used to describe the data objects. Accordingly, many clustering methods can process datasets that are either numeric or categorical. Recently, algorithms that can handle the mixed data clustering problems have been developed. Affinity propagation (AP algorithm is an exemplar-based clustering method which has demonstrated good performance on a wide variety of datasets. However, it has limitations on processing mixed datasets. In this paper, we propose a novel similarity measure for mixed type datasets and an adaptive AP clustering algorithm is proposed to cluster the mixed datasets. Several real world datasets are studied to evaluate the performance of the proposed algorithm. Comparisons with other clustering algorithms demonstrate that the proposed method works well not only on mixed datasets but also on pure numeric and categorical datasets.
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Dos categorías para analizar el razonamiento sobre reglas sociomorales
Directory of Open Access Journals (Sweden)
Martín Plascencia González
2010-01-01
Full Text Available Este artículo reporta los resultados de una investigación diseñada para conocer el razonamiento moral de niños y niñas de entre 10 y 11 años de edad, acerca de reglas sociomorales y transgresiones narradas en historias hipotéticas. Para el análisis de la información utilicé un método inductivo, construyendo categorías a partir de los datos y sin contar con categorías a priori. Los resultados muestran dos categorías de pensamiento en relación con las reglas. La primera la denominé Regularidad y expresa el conocimiento que los niños y niñas tienen de manera intencional y formal con respecto a las reglas, lo que está legislado conscientemente; y la segunda, denominada Vigencia, expresa la interpretación personal de la regla en sus usos cotidianos, actuales.
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Directory of Open Access Journals (Sweden)
Rachel Zoubrinetzky
Full Text Available We tested the hypothesis that the categorical perception deficit of speech sounds in developmental dyslexia is related to phoneme awareness skills, whereas a visual attention (VA span deficit constitutes an independent deficit. Phoneme awareness tasks, VA span tasks and categorical perception tasks of phoneme identification and discrimination using a d/t voicing continuum were administered to 63 dyslexic children and 63 control children matched on chronological age. Results showed significant differences in categorical perception between the dyslexic and control children. Significant correlations were found between categorical perception skills, phoneme awareness and reading. Although VA span correlated with reading, no significant correlations were found between either categorical perception or phoneme awareness and VA span. Mediation analyses performed on the whole dyslexic sample suggested that the effect of categorical perception on reading might be mediated by phoneme awareness. This relationship was independent of the participants' VA span abilities. Two groups of dyslexic children with a single phoneme awareness or a single VA span deficit were then identified. The phonologically impaired group showed lower categorical perception skills than the control group but categorical perception was similar in the VA span impaired dyslexic and control children. The overall findings suggest that the link between categorical perception, phoneme awareness and reading is independent from VA span skills. These findings provide new insights on the heterogeneity of developmental dyslexia. They suggest that phonological processes and VA span independently affect reading acquisition.
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Categorical Semantics for Functional Reactive Programming with Temporal Recursion and Corecursion
Directory of Open Access Journals (Sweden)
Wolfgang Jeltsch
2014-06-01
Full Text Available Functional reactive programming (FRP makes it possible to express temporal aspects of computations in a declarative way. Recently we developed two kinds of categorical models of FRP: abstract process categories (APCs and concrete process categories (CPCs. Furthermore we showed that APCs generalize CPCs. In this paper, we extend APCs with additional structure. This structure models recursion and corecursion operators that are related to time. We show that the resulting categorical models generalize those CPCs that impose an additional constraint on time scales. This constraint boils down to ruling out ω-supertasks, which are closely related to Zeno's paradox of Achilles and the tortoise.
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‘Membership Has Its Privileges’: Status Incentives and Categorical Inequality in Education
Directory of Open Access Journals (Sweden)
Thurston Domina
2016-05-01
Full Text Available Prizes – formal systems that publicly allocate rewards for exemplary behavior – play an increasingly important role in a wide array of social settings, including education. In this paper, we evaluate a prize system designed to boost achievement at two high schools by assigning students color-coded ID cards based on a previously low stakes test. Average student achievement on this test increased in the ID card schools beyond what one would expect from contemporaneous changes in neighboring schools. However, regression discontinuity analyses indicate that the program created new inequalities between students who received low-status and high-status ID cards. These findings indicate that status-based incentives create categorical inequalities between prize winners and others even as they reorient behavior toward the goals they reward.
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Interference effects of categorization on decision making.
Wang, Zheng; Busemeyer, Jerome R
2016-05-01
Many decision making tasks in life involve a categorization process, but the effects of categorization on subsequent decision making has rarely been studied. This issue was explored in three experiments (N=721), in which participants were shown a face stimulus on each trial and performed variations of categorization-decision tasks. On C-D trials, they categorized the stimulus and then made an action decision; on X-D trials, they were told the category and then made an action decision; on D-alone trials, they only made an action decision. An interference effect emerged in some of the conditions, such that the probability of an action on the D-alone trials (i.e., when there was no explicit categorization before the decision) differed from the total probability of the same action on the C-D or X-D trials (i.e., when there was explicit categorization before the decision). Interference effects are important because they indicate a violation of the classical law of total probability, which is assumed by many cognitive models. Across all three experiments, a complex pattern of interference effects systematically occurred for different types of stimuli and for different types of categorization-decision tasks. These interference effects present a challenge for traditional cognitive models, such as Markov and signal detection models, but a quantum cognition model, called the belief-action entanglement (BAE) model, predicted that these results could occur. The BAE model employs the quantum principles of superposition and entanglement to explain the psychological mechanisms underlying the puzzling interference effects. The model can be applied to many important and practical categorization-decision situations in life. Copyright © 2016 Elsevier B.V. All rights reserved.
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Text document classification based on mixture models
Czech Academy of Sciences Publication Activity Database
Novovičová, Jana; Malík, Antonín
2004-01-01
Roč. 40, č. 3 (2004), s. 293-304 ISSN 0023-5954 R&D Projects: GA AV ČR IAA2075302; GA ČR GA102/03/0049; GA AV ČR KSK1019101 Institutional research plan: CEZ:AV0Z1075907 Keywords : text classification * text categorization * multinomial mixture model Subject RIV: BB - Applied Statistics, Operational Research Impact factor: 0.224, year: 2004
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DEFF Research Database (Denmark)
Pedersen, Bjørn Panella; Ifrim, Georgiana; Liboriussen, Poul
2014-01-01
Abstract Background Structured Logistic Regression (SLR) is a newly developed machine learning tool first proposed in the context of text categorization. Current availability of extensive protein sequence databases calls for an automated method to reliably classify sequences and SLR seems well...... problem. Results Using SLR, we have built classifiers to identify and automatically categorize P-type ATPases into one of 11 pre-defined classes. The SLR-classifiers are compared to a Hidden Markov Model approach and shown to be highly accurate and scalable. Representing the bulk of currently known...... for further biochemical characterization and structural analysis....
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Directory of Open Access Journals (Sweden)
Francisco Conde Soto
2017-06-01
Full Text Available The aim of this study is to evaluate the juxtaposition of Kant’s categorical imperative with Sade’s maxim exposed in several texts of the French psychoanalyst Jacques Lacan. According to Lacan Kant and Sade are two sides of the same coin in reference to their position with respect to desire and enjoyment. His thesis are: 1. Sade’s maxim that the libertine is entitled to vex his neighbor as he pleases essentially meets the requirements of Kant’s categorical imperative. 2. Both Sade and Kant’s theories are examples of only one sadism directed at other subjects the first and directed toward himself in the form of moral duty the second. Reading The Ethics of Psychoanalysis (1959-60 and especially the text “Kant with Sade” (1966 is exposed Lacan’s critique of the categorical imperative of Kant, taken as a paradigm of what it means to be moral.
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Statistical Results of Activities Categorization in Czech Agricultural Companies
Directory of Open Access Journals (Sweden)
Svobodová J.
2016-09-01
Full Text Available In today’s competitive environment, to identify and correctly adjust the individual components of the business model is an important strategic device for every entrepreneur. This paper (preliminary study deals with different types of business models applied to the sector of small and medium-size farms in the Czech Republic. The main objective was to identify and categorize activities undertaken by Czech farmers into homogeneous clusters and offer recommendations on possible business model modification. The research was based on data from the Farm Accountancy Data Network (hereafter FADN. The principal component analysis and cluster analysis were carried out as part of the assessment, under which farms are categorized into homogeneous groups. The results showed that the farms surveyed can be categorized according to similar economic characteristics, production plans, and implementation processes into three basic clusters. The first business model is elaborated for the classic field production and various kinds of vegetable or livestock production, the second model for the special crop and livestock production, and the third one for the animal production. The use of FADN data and the fact that most Czech agricultural companies are of small- and medium-size should be taken into account as limiting factors of the study.
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One Giant Leap for Categorizers: One Small Step for Categorization Theory
Smith, J. David; Ell, Shawn W.
2015-01-01
We explore humans’ rule-based category learning using analytic approaches that highlight their psychological transitions during learning. These approaches confirm that humans show qualitatively sudden psychological transitions during rule learning. These transitions contribute to the theoretical literature contrasting single vs. multiple category-learning systems, because they seem to reveal a distinctive learning process of explicit rule discovery. A complete psychology of categorization must describe this learning process, too. Yet extensive formal-modeling analyses confirm that a wide range of current (gradient-descent) models cannot reproduce these transitions, including influential rule-based models (e.g., COVIS) and exemplar models (e.g., ALCOVE). It is an important theoretical conclusion that existing models cannot explain humans’ rule-based category learning. The problem these models have is the incremental algorithm by which learning is simulated. Humans descend no gradient in rule-based tasks. Very different formal-modeling systems will be required to explain humans’ psychology in these tasks. An important next step will be to build a new generation of models that can do so. PMID:26332587
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Categorization in the Affective Domain
DEFF Research Database (Denmark)
Sauciuc, Gabriela-Alina
2011-01-01
Data collected in Romance and Scandinavian languages (N=474) in a superordinate category name production task indicate that a multiple-strategy approach would be more suitable for accounting of categorization in the affective domain instead of a prototype approach as suggested by previous studies....... This paper will highlight performance aspects which appear to be consistent with such an interpretation, as well as an important layman- expert knowledge asymmetry in affective categorization....
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Inventory and categorization of radioactive sources in the CDTN, Minas Gerais, Brazil
International Nuclear Information System (INIS)
Silva, Fabio; Tello, Cledola Cassia Oliveira de
2011-01-01
Radioactive sources have wide application, in the medicine, industry, agriculture and in the research centers. After the use those sources are considered radioactive wastes and conducted to the CNEN research institutes, that have the legal responsibility to receive and control. The safe attribution of wasted sources is essential for minimizing the possibility oc accident occurrence. The data of the stored sources in the CDTN are included and processed in the data bank SISFONT - Sistema de Informacoes sobre Fontes Seladas Fora de Uso, but this system does not allow their categorization. For that, a efficient, precise and easy interaction categorization system was developed
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DEFF Research Database (Denmark)
Nicolaisen, Maria Skou
2016-01-01
The aim of the present research article is to discuss the possibilities and limitations in addressing text as an autopoietic system. The theory of autopoiesis originated in the field of biology in order to explain the dynamic processes entailed in sustaining living organisms at cellular level. Th....... By comparing the biological with the textual account of autopoietic agency, the end conclusion is that a newly derived concept of sociopoiesis might be better suited for discussing the architecture of textual systems....
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CATEGORICAL IMAGE COMPONENTS IN THE FORMING SYSTEM OF A MARKETING TECHNIQUES MANAGER’S IMAGE CULTURE
Anna Borisovna Cherednyakova
2015-01-01
Based on the understanding of the image culture formation of managers of marketing techniques, as a representative of the social and communication interaction of public structures, categorical apparatus of image culture with an emphasis on the etymology of the image, as an integral component of image culture was analyzed. Categorical components of the image are presented from the standpoint of image culture, as personal new formation, an integral part of the professional activity of the marke...
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Nigel: A Systemic Grammar for Text Generation.
1983-02-01
presumed. Basic references on the systemic framework include [Berry 75, Berry 77, Halliday 76a, Halliday 76b, Hudson 76, Halliday 81, de Joia 80...Edinburgh, 1979. [do Joia 80] de Joia , A., and A. Stanton, Terms in Systemic Linguistics, Batsford Academic and Educational, Ltd., London, 1980. -’C...1 A Grammar for Text Generation- -The Challenge ................................. 1 *1.2 A Grammar for Text Generation--The Design
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Domain learning naming game for color categorization.
Li, Doujie; Fan, Zhongyan; Tang, Wallace K S
2017-01-01
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.
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Segmentation precedes face categorization under suboptimal conditions.
Van Den Boomen, Carlijn; Fahrenfort, Johannes J; Snijders, Tineke M; Kemner, Chantal
2015-01-01
Both categorization and segmentation processes play a crucial role in face perception. However, the functional relation between these subprocesses is currently unclear. The present study investigates the temporal relation between segmentation-related and category-selective responses in the brain, using electroencephalography (EEG). Surface segmentation and category content were both manipulated using texture-defined objects, including faces. This allowed us to study brain activity related to segmentation and to categorization. In the main experiment, participants viewed texture-defined objects for a duration of 800 ms. EEG results revealed that segmentation-related responses precede category-selective responses. Three additional experiments revealed that the presence and timing of categorization depends on stimulus properties and presentation duration. Photographic objects were presented for a long and short (92 ms) duration and evoked fast category-selective responses in both cases. On the other hand, presentation of texture-defined objects for a short duration only evoked segmentation-related but no category-selective responses. Category-selective responses were much slower when evoked by texture-defined than by photographic objects. We suggest that in case of categorization of objects under suboptimal conditions, such as when low-level stimulus properties are not sufficient for fast object categorization, segmentation facilitates the slower categorization process.
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Information Fluxes as Concept for Categorizations of Life
Hildenbrand, Georg; Hausmann, M.
2012-05-01
Definitions of life are controversially discussed; however, they are mostly depending on bio- evolutionary driven arguments. Here, we propose a systematic, theoretical approach to the question what life is, by categorization and classification of different levels of life. This approach is mainly based on the analysis of information flux occurring in systems being suspicious to be alive, and on the analysis of their power of environmental control. In a first step, we show that all biological definitions of life can be derived from basic physical principles of entropy (number of possible states of a thermodynamic system) and of the energy needed for controlling entropic development. In a next step we discuss how any process where information flux is generated, regardless of its materialization is defined and related to classical definitions of life. In a third step we resume the proposed classification scheme in its most basic way, looking only for existence of data storage, its processing, and its environmental control. We join inhere a short discussion how the materialization of information fluxes can take place depending on the special properties of the four basic physical forces. Having done all this we are able to give everybody a classification catalogue at hand that one can categorize the kind of life one is talking about, thus overcoming the obstacles deriving from the simple appearing question whether something is alive or not. On its most basic level as presented here, our scheme offers a categorization for fire, crystals, prions, viruses, spores, up to cells and even tardigrada and cryostases.
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A Review of Statistical Techniques for 2x2 and RxC Categorical Data Tables In SPSS
Directory of Open Access Journals (Sweden)
Cengiz BAL
2009-11-01
Full Text Available In this study, a review of statistical techniques for RxC categorical data tables is explained in detail. The emphasis is given to the association of techniques and their corresponding data considerations. Some suggestions to how to handle specific categorical data tables in SPSS and common mistakes in the interpretation of the SPSS outputs are shown.
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A Probabilistic Model of Cross-Categorization
Shafto, Patrick; Kemp, Charles; Mansinghka, Vikash; Tenenbaum, Joshua B.
2011-01-01
Most natural domains can be represented in multiple ways: we can categorize foods in terms of their nutritional content or social role, animals in terms of their taxonomic groupings or their ecological niches, and musical instruments in terms of their taxonomic categories or social uses. Previous approaches to modeling human categorization have…
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Similarity relations in visual search predict rapid visual categorization
Mohan, Krithika; Arun, S. P.
2012-01-01
How do we perform rapid visual categorization?It is widely thought that categorization involves evaluating the similarity of an object to other category items, but the underlying features and similarity relations remain unknown. Here, we hypothesized that categorization performance is based on perceived similarity relations between items within and outside the category. To this end, we measured the categorization performance of human subjects on three diverse visual categories (animals, vehicles, and tools) and across three hierarchical levels (superordinate, basic, and subordinate levels among animals). For the same subjects, we measured their perceived pair-wise similarities between objects using a visual search task. Regardless of category and hierarchical level, we found that the time taken to categorize an object could be predicted using its similarity to members within and outside its category. We were able to account for several classic categorization phenomena, such as (a) the longer times required to reject category membership; (b) the longer times to categorize atypical objects; and (c) differences in performance across tasks and across hierarchical levels. These categorization times were also accounted for by a model that extracts coarse structure from an image. The striking agreement observed between categorization and visual search suggests that these two disparate tasks depend on a shared coarse object representation. PMID:23092947
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Historical Text Comprehension Reflective Tutorial Dialogue System
Grigoriadou, Maria; Tsaganou, Grammatiki; Cavoura, Theodora
2005-01-01
The Reflective Tutorial Dialogue System (ReTuDiS) is a system for learner modelling historical text comprehension through reflective dialogue. The system infers learners' cognitive profiles and constructs their learner models. Based on the learner model the system plans the appropriate--personalized for learners--reflective tutorial dialogue in…
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Förster, J.; Marguc, J.; Gillebaart, M.
2010-01-01
Novelty Categorization Theory (NCT) attempts to predict when people perceive events as novel and how they process novel events across different domains. It is predicted that broad mental categories reduce the perception of an event being novel via inclusion processes, whereas narrow categories
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Development of conceptual and categorical apparatus of control of NBFIs
Directory of Open Access Journals (Sweden)
Zh.V. Prokopenko
2017-03-01
Full Text Available The article researches the essence of the term «provision of pensions». The author finds out the imperfection of conceptual and categorical apparatus of certain issues leading to the conflict between the interpretations and is the blocking factor for the pension system. The paper reveals that there is no single interpretation of the term «investment», but the suggested definitions are grouped according to the following approaches: investment as input, costs and the definition of investment at the micro and macro levels. A large number of authors define investment as investing in anything for profit. It was found out that the category of «financial leasing» is multifaceted and multifold, but considering it in the context of nonbank financial institutions, it should be noted its significant characteristic, which is a financial service.
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Himmel, Wolfgang; Reincke, Ulrich; Michelmann, Hans Wilhelm
2009-07-22
Both healthy and sick people increasingly use electronic media to obtain medical information and advice. For example, Internet users may send requests to Web-based expert forums, or so-called "ask the doctor" services. To automatically classify lay requests to an Internet medical expert forum using a combination of different text-mining strategies. We first manually classified a sample of 988 requests directed to a involuntary childlessness forum on the German website "Rund ums Baby" ("Everything about Babies") into one or more of 38 categories belonging to two dimensions ("subject matter" and "expectations"). After creating start and synonym lists, we calculated the average Cramer's V statistic for the association of each word with each category. We also used principle component analysis and singular value decomposition as further text-mining strategies. With these measures we trained regression models and determined, on the basis of best regression models, for any request the probability of belonging to each of the 38 different categories, with a cutoff of 50%. Recall and precision of a test sample were calculated as a measure of quality for the automatic classification. According to the manual classification of 988 documents, 102 (10%) documents fell into the category "in vitro fertilization (IVF)," 81 (8%) into the category "ovulation," 79 (8%) into "cycle," and 57 (6%) into "semen analysis." These were the four most frequent categories in the subject matter dimension (consisting of 32 categories). The expectation dimension comprised six categories; we classified 533 documents (54%) as "general information" and 351 (36%) as a wish for "treatment recommendations." The generation of indicator variables based on the chi-square analysis and Cramer's V proved to be the best approach for automatic classification in about half of the categories. In combination with the two other approaches, 100% precision and 100% recall were realized in 18 (47%) out of the 38
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Categorizing the Growth Strategies of Small Firms
Directory of Open Access Journals (Sweden)
Mika Westerlund
2012-05-01
Full Text Available This study investigates the link between a small firm’s investment in R&D and its growth strategy. A firm’s growth strategy refers to the means by which the organization plans to achieve its objective to grow in volume and turnover. We categorize firm growth strategies into eight distinctive clusters: opportunity explorers, radical innovators, business developers, business expanders, profit makers, business rebuilders, stagnators, and downsizers. We argue that understanding a firm’s growth orientation provides a way to assess the returns of its R&D investments, because an organization’s intangible growth strategies and tangible inputs are connected.
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Lectures on categorical data analysis
Rudas, Tamás
2018-01-01
This book offers a relatively self-contained presentation of the fundamental results in categorical data analysis, which plays a central role among the statistical techniques applied in the social, political and behavioral sciences, as well as in marketing and medical and biological research. The methods applied are mainly aimed at understanding the structure of associations among variables and the effects of other variables on these interactions. A great advantage of studying categorical data analysis is that many concepts in statistics become transparent when discussed in a categorical data context, and, in many places, the book takes this opportunity to comment on general principles and methods in statistics, addressing not only the “how” but also the “why.” Assuming minimal background in calculus, linear algebra, probability theory and statistics, the book is designed to be used in upper-undergraduate and graduate-level courses in the field and in more general statistical methodology courses, as w...
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Selective attention, diffused attention, and the development of categorization.
Deng, Wei Sophia; Sloutsky, Vladimir M
2016-12-01
How do people learn categories and what changes with development? The current study attempts to address these questions by focusing on the role of attention in the development of categorization. In Experiment 1, participants (adults, 7-year-olds, and 4-year-olds) were trained with novel categories consisting of deterministic and probabilistic features, and their categorization and memory for features were tested. In Experiment 2, participants' attention was directed to the deterministic feature, and in Experiment 3 it was directed to the probabilistic features. Attentional cueing affected categorization and memory in adults and 7-year-olds: these participants relied on the cued features in their categorization and exhibited better memory of cued than of non-cued features. In contrast, in 4-year-olds attentional cueing affected only categorization, but not memory: these participants exhibited equally good memory for both cued and non-cued features. Furthermore, across the experiments, 4-year-olds remembered non-cued features better than adults. These results coupled with computational simulations provide novel evidence (1) pointing to differences in category representation and mechanisms of categorization across development, (2) elucidating the role of attention in the development of categorization, and (3) suggesting an important distinction between representation and decision factors in categorization early in development. These issues are discussed with respect to theories of categorization and its development. Copyright © 2016 Elsevier Inc. All rights reserved.
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Selective Attention, Diffused Attention, and the Development of Categorization
Deng, Wei (Sophia); Sloutsky, Vladimir M.
2016-01-01
How do people learn categories and what changes with development? The current study attempts to address these questions by focusing on the role of attention in the development of categorization. In Experiment 1, participants (adults, 7-year-olds, and 4-year-olds) were trained with novel categories consisting of deterministic and probabilistic features, and their categorization and memory for features were tested. In Experiment 2, participants’ attention was directed to the deterministic feature, and in Experiment 3 it was directed to the probabilistic features. Attentional cuing affected categorization and memory in adults and 7-year-olds: these participants relied on the cued features in their categorization and exhibited better memory of cued than of non-cued features. In contrast, in 4-year-olds attentional cueing affected only categorization, but not memory: these participants exhibited equally good memory for both cued and non-cued features. Furthermore, across the experiments, 4-year-olds remembered non-cued features better than adults. These results coupled with computational simulations provide novel evidence (1) pointing to differences in category representation and mechanisms of categorization across development, (2) elucidating the role of attention in the development of categorization, and (3) suggesting an important distinction between representation and decision factors in categorization early in development. These issues are discussed with respect to theories of categorization and its development. PMID:27721103
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Categorical Tensor Network States
Directory of Open Access Journals (Sweden)
Jacob D. Biamonte
2011-12-01
Full Text Available We examine the use of string diagrams and the mathematics of category theory in the description of quantum states by tensor networks. This approach lead to a unification of several ideas, as well as several results and methods that have not previously appeared in either side of the literature. Our approach enabled the development of a tensor network framework allowing a solution to the quantum decomposition problem which has several appealing features. Specifically, given an n-body quantum state |ψ〉, we present a new and general method to factor |ψ〉 into a tensor network of clearly defined building blocks. We use the solution to expose a previously unknown and large class of quantum states which we prove can be sampled efficiently and exactly. This general framework of categorical tensor network states, where a combination of generic and algebraically defined tensors appear, enhances the theory of tensor network states.
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Categorical data analysis for the behavioral and social sciences
Azen, Razia
2011-01-01
Featuring a practical approach with numerous examples, this book focuses on helping the reader develop a conceptual, rather than technical, understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analyses and emphasize specific research questions that can be addressed by each analytic procedure so that readers are able to address the research questions they wish to answer. To achieve this goal, the authors: Review the theoretical implications and assumptions underlying each of the procedures Present each concept in general terms and illustrate each with a practical example Demonstrate the analyses using SPSS and SAS and show the interpretation of the results provided by these programs. A "Look Ahead" section at the beginning of each chapter provides an overview of the material covered so that the reader knows what to expect. This is followed by one or more research questions that can be addressed using the procedure(s) cover...
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Text Structuration Leading to an Automatic Summary System: RAFI.
Lehman, Abderrafih
1999-01-01
Describes the design and construction of Resume Automatique a Fragments Indicateurs (RAFI), a system of automatic text summary which sums up scientific and technical texts. The RAFI system transforms a long source text into several versions of more condensed texts, using discourse analysis, to make searching easier; it could be adapted to the…
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The neural basis for novel semantic categorization.
Koenig, Phyllis; Smith, Edward E; Glosser, Guila; DeVita, Chris; Moore, Peachie; McMillan, Corey; Gee, Jim; Grossman, Murray
2005-01-15
We monitored regional cerebral activity with BOLD fMRI during acquisition of a novel semantic category and subsequent categorization of test stimuli by a rule-based strategy or a similarity-based strategy. We observed different patterns of activation in direct comparisons of rule- and similarity-based categorization. During rule-based category acquisition, subjects recruited anterior cingulate, thalamic, and parietal regions to support selective attention to perceptual features, and left inferior frontal cortex to helps maintain rules in working memory. Subsequent rule-based categorization revealed anterior cingulate and parietal activation while judging stimuli whose conformity with the rules was readily apparent, and left inferior frontal recruitment during judgments of stimuli whose conformity was less apparent. By comparison, similarity-based category acquisition showed recruitment of anterior prefrontal and posterior cingulate regions, presumably to support successful retrieval of previously encountered exemplars from long-term memory, and bilateral temporal-parietal activation for perceptual feature integration. Subsequent similarity-based categorization revealed temporal-parietal, posterior cingulate, and anterior prefrontal activation. These findings suggest that large-scale networks support relatively distinct categorization processes during the acquisition and judgment of semantic category knowledge.
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Directory of Open Access Journals (Sweden)
Raffaella Franciotti
Full Text Available We measured activity in the dorsal system of the human cortex with magnetoencephalography (MEG during a matching-to-sample plus cueing paradigm, where participants judged the occurrence of changes in either categorical or coordinate spatial relations (e.g., exchanges of left versus right positions or changes in the relative distances between images of pairs of animals. The attention window was primed in each trial to be either small or large by using cues that immediately preceded the matching image. In this manner, we could assess the modulatory effects of the scope of attention on the activity of the dorsal system of the human cortex during spatial relations processing. The MEG measurements revealed that large spatial cues yielded greater activations and longer peak latencies in the right inferior parietal lobe for coordinate trials, whereas small cues yielded greater activations and longer peak latencies in the left inferior parietal lobe for categorical trials. The activity in the superior parietal lobe, middle frontal gyrus, and visual cortex, was also modulated by the size of the spatial cues and by the type of spatial relation change. The present results support the theory that the lateralization of each kind of spatial processing hinges on differences in the sizes of regions of space attended to by the two hemispheres. In addition, the present findings are inconsistent with the idea of a right-hemispheric dominance for all kinds of challenging spatial tasks, since response times and accuracy rates showed that the categorical spatial relation task was more difficult than the coordinate task and the cortical activations were overall greater in the left hemisphere than in the right hemisphere.
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Recognizing Cursive Typewritten Text Using Segmentation-Free System
Directory of Open Access Journals (Sweden)
Mohammad S. Khorsheed
2015-01-01
Full Text Available Feature extraction plays an important role in text recognition as it aims to capture essential characteristics of the text image. Feature extraction algorithms widely range between robust and hard to extract features and noise sensitive and easy to extract features. Among those feature types are statistical features which are derived from the statistical distribution of the image pixels. This paper presents a novel method for feature extraction where simple statistical features are extracted from a one-pixel wide window that slides across the text line. The feature set is clustered in the feature space using vector quantization. The feature vector sequence is then injected to a classification engine for training and recognition purposes. The recognition system is applied to a data corpus which includes cursive Arabic text of more than 600 A4-size sheets typewritten in multiple computer-generated fonts. The system performance is compared to a previously published system from the literature with a similar engine but a different feature set.
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Evolution of Signaling in a Multi-Robot System: Categorization and Communication
Ampatzis, Christos; Tuci, Elio; Trianni, Vito; Dorigo, Marco
We use Evolutionary Robotics to design robot controllers in which decision-making mechanisms to switch from solitary to social behavior are integrated with the mechanisms that underpin the sensory-motor repertoire of the robots. In particular, we study the evolution of behavioral and communicative skills in a categorization task. The individual decision-making structures are based on the integration over time of sensory information. The mechanisms for switching from solitary to social behavior and the ways in which the robots can affect each other's behavior are not predetermined by the experimenter, but are aspects of our model designed by artificial evolution. Our results show that evolved robots manage to cooperate and collectively discriminate between different environments by developing a simple communication protocol based on sound signaling. Communication emerges in the absence of explicit selective pressure coded in the fitness function. The evolution of communication is neither trivial nor obvious; for a meaningful signaling system to evolve, evolution must produce both appropriate signals and appropriate reactions to signals. The use of communication proves to be adaptive for the group, even if, in principle, non-cooperating robots can be equally successful with cooperating robots.
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Towards Technological Approaches for Concept Maps Mining from Text
Directory of Open Access Journals (Sweden)
Camila Zacche Aguiar
2018-04-01
Full Text Available Concept maps are resources for the representation and construction of knowledge. They allow showing, through concepts and relationships, how knowledge about a subject is organized. Technological advances have boosted the development of approaches for the automatic construction of a concept map, to facilitate and provide the benefits of that resource more broadly. Due to the need to better identify and analyze the functionalities and characteristics of those approaches, we conducted a detailed study on technological approaches for automatic construction of concept maps published between 1994 and 2016 in the IEEE Xplore, ACM and Elsevier Science Direct data bases. From this study, we elaborate a categorization defined on two perspectives, Data Source and Graphic Representation, and fourteen categories. That study collected 30 relevant articles, which were applied to the proposed categorization to identify the main features and limitations of each approach. A detailed view on these approaches, their characteristics and techniques are presented enabling a quantitative analysis. In addition, the categorization has given us objective conditions to establish new specification requirements for a new technological approach aiming at concept maps mining from texts.
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A research on threat (hazard) categorization method for nuclear facilities
International Nuclear Information System (INIS)
Tang Rongyao; Xu Xiaoxiao; Zhang Jiangang; Zhao Bin; Wang Xuexin
2011-01-01
The threat categorization method suggested by International Atomic Energy Agency (IAEA) and hazard categorization standard by the Department of Energy of United States (USDOE) for nuclear facilities are compared and discussed in this paper. The research shows the two types of categorization method for nuclear facilities are similar, though each has its own specialty. The categorization method suggested by IAEA for the purpose of emergency planning is quite completed and updated. The categorization method of DOE is advanced in its operability, and fits for safety surveillance. But the dispersible radioactive material thresholds used for categorization need to be updated. The threshold of category 3 is somewhat disputable for many reasons. The recommended categorization method for China is also given in this paper. (author)
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Explanation and Categorization: How "Why?" Informs "What?"
Lombrozo, Tania
2009-01-01
Recent theoretical and empirical work suggests that explanation and categorization are intimately related. This paper explores the hypothesis that explanations can help structure conceptual representations, and thereby influence the relative importance of features in categorization decisions. In particular, features may be differentially important…
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Software reuse in a paralysis dataset based on categorical clustering and the Pearson distribution
Directory of Open Access Journals (Sweden)
M. Bhanu Sridhar
2014-09-01
Full Text Available Software reuse is the process of building software applications that make use of formerly developed software components. In this paper, we explain the benefits that can be obtained from using statistical procedures for prescribing medicines, especially in rural areas, which have limited resources available on hand. It should be noted that although the expert systems were successful in research, they never dominated the market when actual patient treatment was considered. The proposed methodology is compared with the categorical clustering technique. The Fenton and Melton Coupling Metric is considered for the evaluation of the statistic model. The reliability of this methodology is also considered.
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Ultra rapid object categorization: effects of level, animacy and context.
Praß, Maren; Grimsen, Cathleen; König, Martina; Fahle, Manfred
2013-01-01
It is widely agreed that in object categorization bottom-up and top-down influences interact. How top-down processes affect categorization has been primarily investigated in isolation, with only one higher level process at a time being manipulated. Here, we investigate the combination of different top-down influences (by varying the level of category, the animacy and the background of the object) and their effect on rapid object categorization. Subjects participated in a two-alternative forced choice rapid categorization task, while we measured accuracy and reaction times. Subjects had to categorize objects on the superordinate, basic or subordinate level. Objects belonged to the category animal or vehicle and each object was presented on a gray, congruent (upright) or incongruent (inverted) background. The results show that each top-down manipulation impacts object categorization and that they interact strongly. The best categorization was achieved on the superordinate level, providing no advantage for basic level in rapid categorization. Categorization between vehicles was faster than between animals on the basic level and vice versa on the subordinate level. Objects in homogenous gray background (context) yielded better overall performance than objects embedded in complex scenes, an effect most prominent on the subordinate level. An inverted background had no negative effect on object categorization compared to upright scenes. These results show how different top-down manipulations, such as category level, category type and background information, are related. We discuss the implications of top-down interactions on the interpretation of categorization results.
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What is a Planet?-Categorizing Objects
Lebofsky, Larry A.
2009-05-01
Observing, communicating, comparing, organizing, relating, and inferring are fundamental to scientific thinking processes. Teaching this way, rather than just teaching "the facts,” is also important for developing the critical thinking skills of our future generations of a scientifically literate society. Since the IAU started its discussions on a definition of a planet in 2005, I have been presenting a hands-on activity called "What is a Planet?” at the annual meeting of the DPS. This activity has been designed for short (20 minute) to long (two hour) presentations depending on the venue and the audience. This has been presented to elementary-grade students, middle school students, K-12 teachers, and scientists and educators. Depending on the amount of time available, I show students how people, as well as scientists group or categorize things such as plants and animals, cats and dog, etc. The students are then broken up into groups. Science is usually done by teams of scientists working together, not as individuals working alone. I assess their prior knowledge (how many planets, their names, their properties, etc.). They also do a hands-on group activity where they group/categorize ten spheres by their properties (size, color, etc.). Finally we discuss the process by which the IAU came up with a definition of a planet. I then discuss with them why some scientists, including myself, do not agree with this definition: as with the spheres, there may be more than one "right” answer. There are many ways to look at the properties of objects in the Solar System and group them into planets and other designations. This is the way that science should be done, to look at all of the properties of an object and categorize them in a meaningful way. There may be more than one right answer.
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28 CFR 75.3 - Categorization of records.
2010-07-01
... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Categorization of records. 75.3 Section 75.3 Judicial Administration DEPARTMENT OF JUSTICE (CONTINUED) CHILD PROTECTION RESTORATION AND...; RECORDKEEPING AND RECORD-INSPECTION PROVISIONS § 75.3 Categorization of records. Records required to be...
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Visual Categorization of Natural Movies by Rats
Vinken, Kasper; Vermaercke, Ben
2014-01-01
Visual categorization of complex, natural stimuli has been studied for some time in human and nonhuman primates. Recent interest in the rodent as a model for visual perception, including higher-level functional specialization, leads to the question of how rodents would perform on a categorization task using natural stimuli. To answer this question, rats were trained in a two-alternative forced choice task to discriminate movies containing rats from movies containing other objects and from scrambled movies (ordinate-level categorization). Subsequently, transfer to novel, previously unseen stimuli was tested, followed by a series of control probes. The results show that the animals are capable of acquiring a decision rule by abstracting common features from natural movies to generalize categorization to new stimuli. Control probes demonstrate that they did not use single low-level features, such as motion energy or (local) luminance. Significant generalization was even present with stationary snapshots from untrained movies. The variability within and between training and test stimuli, the complexity of natural movies, and the control experiments and analyses all suggest that a more high-level rule based on more complex stimulus features than local luminance-based cues was used to classify the novel stimuli. In conclusion, natural stimuli can be used to probe ordinate-level categorization in rats. PMID:25100598
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ICLIC : interactive categorization of large image collections
Van Der Corput, Paul; van Wijk, Jarke J.
2016-01-01
We present a new approach for the analysis of large image collections. We argue that categorization plays an important role in this process, not only to label images as end result, but also during exploration. Furthermore, to increase the effectiveness and efficiency of the categorization process we
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Iteration and primitive recursion in categorical terms
Geuvers, J.H.; Poll, E.; Barendsen, E.; Capretta, V.; Geuvers, H.; Niqui, M.
2007-01-01
We study various well-known schemes for defining inductive and co-inductive types from a categorical perspective. Categorically, an inductive type is just an initial algebra and a coinductive type is just a terminal co-algebra. However, in category theory these notions are quite strong, requiring
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Categorization of States Beyond Strong and Weak
Directory of Open Access Journals (Sweden)
Peter Tikuisis
2017-09-01
Full Text Available The discourse on poor state performers has suffered from widely varying definitions on what distinguishes certain weak states from others. Indices that rank states from strong to weak conceal important distinctions that can adversely affect intervention policy. This deficiency is addressed by grouping states according to their performance on three dimensions of statehood: authority, legitimacy, and capacity. The resultant categorization identifies brittle states that are susceptible to regime change, impoverished states often considered as aid darlings, and fragile states that experience disproportionately high levels of violent internal conflict. It also provides a quantifiable means to analyze transitions from one state type to another for more insightful intervention policy.
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Aging, culture, and memory for categorically processed information.
Yang, Lixia; Chen, Wenfeng; Ng, Andy H; Fu, Xiaolan
2013-11-01
Literature on cross-cultural differences in cognition suggests that categorization, as an information processing and organization strategy, was more often used by Westerners than by East Asians, particularly for older adults. This study examines East-West cultural differences in memory for categorically processed items and sources in young and older Canadians and native Chinese with a conceptual source memory task (Experiment 1) and a reality monitoring task (Experiment 2). In Experiment 1, participants encoded photographic faces of their own ethnicity that were artificially categorized into GOOD or EVIL characters and then completed a source memory task in which they identified faces as old-GOOD, old-EVIL, or new. In Experiment 2, participants viewed a series of words, each followed either by a corresponding image (i.e., SEEN) or by a blank square within which they imagined an image for the word (i.e., IMAGINED). At test, they decided whether the test words were old-SEEN, old-IMAGINED, or new. In general, Canadians outperformed Chinese in memory for categorically processed information, an effect more pronounced for older than for young adults. Extensive exercise of culturally preferred categorization strategy differentially benefits Canadians and reduces their age group differences in memory for categorically processed information.
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Coordination in Categorical Compositional Distributional Semantics
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Dimitri Kartsaklis
2016-08-01
Full Text Available An open problem with categorical compositional distributional semantics is the representation of words that are considered semantically vacuous from a distributional perspective, such as determiners, prepositions, relative pronouns or coordinators. This paper deals with the topic of coordination between identical syntactic types, which accounts for the majority of coordination cases in language. By exploiting the compact closed structure of the underlying category and Frobenius operators canonically induced over the fixed basis of finite-dimensional vector spaces, we provide a morphism as representation of a coordinator tensor, and we show how it lifts from atomic types to compound types. Linguistic intuitions are provided, and the importance of the Frobenius operators as an addition to the compact closed setting with regard to language is discussed.
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42 CFR 405.203 - FDA categorization of investigational devices.
2010-10-01
... 42 Public Health 2 2010-10-01 2010-10-01 false FDA categorization of investigational devices. 405... Coverage Decisions That Relate to Health Care Technology § 405.203 FDA categorization of investigational.../investigational (Category A) or non-experimental/investigational (Category B). (c) CMS uses the categorization of...
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Impact of a short intervention on novices’ categorization criteria
Directory of Open Access Journals (Sweden)
Jennifer L. Docktor
2012-07-01
Full Text Available Research on physics problem categorization has established that proficient problem solvers are able to group together physics problems that would be solved by similar principles and use conceptual approaches when solving problems, whereas weak solvers rely more heavily upon surface features (objects, contexts, and quantities provided to identify specific equations that match to the problem situation. This study explores the degree to which novices are able to shift their categorization strategies toward one that is more principle based as a result of a brief, computer-based intervention designed to highlight the role of principles as categorization criteria. Students finishing an introductory algebra-based mechanics course were presented with a sequence of problem pairs, asked to judge whether each pair would be solved similarly, and provided with feedback. Students in one condition received feedback that was very sparse and only indicated correctness, whereas students in a second condition viewed elaborate feedback that linked problem features to the appropriate concepts and principles to solve each problem. We found an increased use of physics principles in the reasoning provided by students who received the elaborate feedback whereas students who did not view this elaboration primarily cited quantities in the problem statement. Although these results suggest it is possible to increase students’ attention to principles when approaching problems, poor performance on the items indicates that considering the appropriateness of principles remains a difficult task for beginning physics students.
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Categorization of Quantum Mechanics Problems by Professors and Students
Lin, Shih-Yin; Singh, Chandralekha
2010-01-01
We discuss the categorization of 20 quantum mechanics problems by physics professors and undergraduate students from two honours-level quantum mechanics courses. Professors and students were asked to categorize the problems based upon similarity of solution. We also had individual discussions with professors who categorized the problems. Faculty…
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Categorizing Pedagogical Patterns by Teaching Activities and Pedagogical Value
DEFF Research Database (Denmark)
Eriksen, Ole
2006-01-01
The main contribution of this paper is a proposal for a universal pedagogical pattern categorization based on teaching values and activities. This categorization would be more sustainable than the arbitrary categorization implied by pedagogical pattern language themes. Pedagogical patterns from two...... central patterns languages are analyzed and categorized, and the result is a catalogue theoretically founded and practical in its application. The teaching values are derived from learning theories, implying the theoretical foundation of the catalogue. In order to increase the usability of the value...
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Person (mis)perception: functionally biased sex categorization of bodies.
Johnson, Kerri L; Iida, Masumi; Tassinary, Louis G
2012-12-22
Social perception is among the most important tasks that occur in daily life, and perceivers readily appreciate the social affordances of others. Here, we demonstrate that sex categorizations are functionally biased towards a male percept. Perceivers judged body shapes that varied in waist-to-hip ratio to be men if they were not, in reality, exclusive to women, and male categorizations occurred more quickly than female categorizations (studies 1 and 4). This pattern was corroborated when participants identified the average body shapes of men and women (study 2) and when we assessed participants' cognitive representations (study 3). Moreover, these tendencies were modulated by emotion context (study 4). Thus, male categorizations occurred readily and rapidly, demonstrating a pronounced categorization bias and temporal advantage for male judgements.
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Directory of Open Access Journals (Sweden)
Goklem Tekdemir Yurtdas
2015-12-01
Full Text Available This study aims to investigate how different ethnic groups (Turkish/Kurdish and religious sects (Alevi/Sunni are perceived in Turkey. These groups have a long history of conflicts. In order to examine the perception of these conflicting group identities, we adopted the theoretical frameworks of simple and cross categorization developed by the Social Identity Theory and the Category Differentiation Model. Both theories converge on the idea of in-group favoritism in the case of simple categorization while they offer different explanations for cross categorization condition. In order to test these differing theoretical propositions, we asked our participants to evaluate simple and cross categorization conditions based on variables of ethnicity and sect. Our sample consisted of 106 individuals from two ethnic groups (Kurdish/Turkish and two religious sects (Alevi/Sunni. The participants completed a questionnaire based on Zavalloni’s focused introspection technique. Within subjects repeated measures ANOVA analysis were carried out for both simple and cross categorization. The results of the analysis revealed that the participants emphasized in-group similarities and out-group differences both for ethnicity and religious sect in the simple categorization condition. Moreover, in-group similarities based on religious sects rather than ethnicity were prioritized in the cross categorization condition. The results confirmed the Social Identity Theory’s assumptions generally. Results were discussed in terms of relevant literature, and in relation to historical and political issues regarding ethnicity and sects in Turkey.
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Schönecker, Dieter
2016-01-01
Kant’s deduction of the categorical imperative is the answer to the following question: “How is a categorical imperative possible?” The answer is given in subsection 4 (Sec. 4) of chapter three of the Groundwork. It is impossible to understand this answer, and hence impossible to understand Kant’s deduction of the moral law, without taking into account the overall context of Groundwork III (GMS III). However, here I can only sketch the overall structure of GMS III, and there...
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English Metafunction Analysis in Chemistry Text: Characterization of Scientific Text
Directory of Open Access Journals (Sweden)
Ahmad Amin Dalimunte, M.Hum
2013-09-01
Full Text Available The objectives of this research are to identify what Metafunctions are applied in chemistry text and how they characterize a scientific text. It was conducted by applying content analysis. The data for this research was a twelve-paragraph chemistry text. The data were collected by applying a documentary technique. The document was read and analyzed to find out the Metafunction. The data were analyzed by some procedures: identifying the types of process, counting up the number of the processes, categorizing and counting up the cohesion devices, classifying the types of modulation and determining modality value, finally counting up the number of sentences and clauses, then scoring the grammatical intricacy index. The findings of the research show that Material process (71of 100 is mostly used, circumstance of spatial location (26 of 56 is more dominant than the others. Modality (5 is less used in order to avoid from subjectivity. Impersonality is implied through less use of reference either pronouns (7 or demonstrative (7, conjunctions (60 are applied to develop ideas, and the total number of the clauses are found much more dominant (109 than the total number of the sentences (40 which results high grammatical intricacy index. The Metafunction found indicate that the chemistry text has fulfilled the characteristics of scientific or academic text which truly reflects it as a natural science.
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Text mining resources for the life sciences.
Przybyła, Piotr; Shardlow, Matthew; Aubin, Sophie; Bossy, Robert; Eckart de Castilho, Richard; Piperidis, Stelios; McNaught, John; Ananiadou, Sophia
2016-01-01
Text mining is a powerful technology for quickly distilling key information from vast quantities of biomedical literature. However, to harness this power the researcher must be well versed in the availability, suitability, adaptability, interoperability and comparative accuracy of current text mining resources. In this survey, we give an overview of the text mining resources that exist in the life sciences to help researchers, especially those employed in biocuration, to engage with text mining in their own work. We categorize the various resources under three sections: Content Discovery looks at where and how to find biomedical publications for text mining; Knowledge Encoding describes the formats used to represent the different levels of information associated with content that enable text mining, including those formats used to carry such information between processes; Tools and Services gives an overview of workflow management systems that can be used to rapidly configure and compare domain- and task-specific processes, via access to a wide range of pre-built tools. We also provide links to relevant repositories in each section to enable the reader to find resources relevant to their own area of interest. Throughout this work we give a special focus to resources that are interoperable-those that have the crucial ability to share information, enabling smooth integration and reusability. © The Author(s) 2016. Published by Oxford University Press.
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Text mining resources for the life sciences
Shardlow, Matthew; Aubin, Sophie; Bossy, Robert; Eckart de Castilho, Richard; Piperidis, Stelios; McNaught, John; Ananiadou, Sophia
2016-01-01
Text mining is a powerful technology for quickly distilling key information from vast quantities of biomedical literature. However, to harness this power the researcher must be well versed in the availability, suitability, adaptability, interoperability and comparative accuracy of current text mining resources. In this survey, we give an overview of the text mining resources that exist in the life sciences to help researchers, especially those employed in biocuration, to engage with text mining in their own work. We categorize the various resources under three sections: Content Discovery looks at where and how to find biomedical publications for text mining; Knowledge Encoding describes the formats used to represent the different levels of information associated with content that enable text mining, including those formats used to carry such information between processes; Tools and Services gives an overview of workflow management systems that can be used to rapidly configure and compare domain- and task-specific processes, via access to a wide range of pre-built tools. We also provide links to relevant repositories in each section to enable the reader to find resources relevant to their own area of interest. Throughout this work we give a special focus to resources that are interoperable—those that have the crucial ability to share information, enabling smooth integration and reusability. PMID:27888231
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Directory of Open Access Journals (Sweden)
Jana Pesonen
2015-06-01
Full Text Available In this article, representations of multiculturalism in Swedish and Finnish picturebooks are examined through the Förskolan Rävlyan and Tatu and Patu series. In the article, multiculturalism is understood and studied with an intersectional approach. This means considering sociocultural categorizations such as ethnicity, gender, nationality and disability to be meaningful to the existing social, political and economic structures of societies. These categorizations are seen to have the power to reproduce and circulate dominant discourses that effect the social inclusion and exclusion of certain groups of people. Thus, the social categories are examined as performative textual discourses, meaning that texts are acknowledged to be not only reflecting, but also creating social reality. Both series present diversity as an integrated part of the story by means of non-explicit multiculturalism. The analysis reveals that both series of books contain representations of diversity that can challenge some possibly exclusive social categorizations, such as nationality. In conclusion, these books can be seen to be progressive in their attempts to promote a transformative understanding of today’s Nordic societies.
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Directory of Open Access Journals (Sweden)
M Arora
2015-01-01
Full Text Available Probiotics are friendly live microorganisms (in most cases, bacteria that are similar to beneficial micro-organisms found in the human gut, whenever consumed, have potential to confer benefit to the health of consumers by maintaining, or improving their intestinal microbial flora and are available to consumers mainly in the form of dietary supplements and foods. All-time high interest in the field of probiotics is due to emerging probiotic industry. Probiotics are available in foods and dietary supplements, even as pharmaceutical formulations (capsules, tablets and powders and in some other forms as well, but their claims of health benefits may challenge the traditional border between food and medicine. A number of probiotic products have been already introduced into the international market as food supplements, dietary supplements, natural health products, functional foods and many more other categories; as a result, the position of regulatory system for probiotics within existing categories become vague and quite unclear. Common terminology for probiotic products has become a necessity to achieve adequate regulatory control for discussion of probiotic-related issues among government, producers and consumers. The lack of a consistent terminology across the globe leads to legal uncertainty and confusion instead of being a direct obstacle for development of a mature market. This article will explain differences in regulatory categorizations across the globe; discuss the terms like food and drugs with a close relationship to probiotics, the problems associated with unsatisfactorily approached categorization as well as suggestive consolidations for the new categorization which will demarcate probiotics into categories explaining their nutritive claims, health claims or both.
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Barnwell-Ménard, Jean-Louis; Li, Qing; Cohen, Alan A
2015-03-15
The loss of signal associated with categorizing a continuous variable is well known, and previous studies have demonstrated that this can lead to an inflation of Type-I error when the categorized variable is a confounder in a regression analysis estimating the effect of an exposure on an outcome. However, it is not known how the Type-I error may vary under different circumstances, including logistic versus linear regression, different distributions of the confounder, and different categorization methods. Here, we analytically quantified the effect of categorization and then performed a series of 9600 Monte Carlo simulations to estimate the Type-I error inflation associated with categorization of a confounder under different regression scenarios. We show that Type-I error is unacceptably high (>10% in most scenarios and often 100%). The only exception was when the variable categorized was a continuous mixture proxy for a genuinely dichotomous latent variable, where both the continuous proxy and the categorized variable are error-ridden proxies for the dichotomous latent variable. As expected, error inflation was also higher with larger sample size, fewer categories, and stronger associations between the confounder and the exposure or outcome. We provide online tools that can help researchers estimate the potential error inflation and understand how serious a problem this is. Copyright © 2014 John Wiley & Sons, Ltd.
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Some problems in the categorization of source terms
International Nuclear Information System (INIS)
Abbey, F.; Dunbar, I.H.; Hayns, M.R.; Nixon, W.
1985-01-01
In recent years techniques for calculating source terms have been considerably improved. It would be unfortunate if the new information were to be blurred by the use of old schemes for the categorization of source terms. In the past categorization schemes have been devised without the question of the general principles of categorization and the available options being addressed explicitly. In this paper these principles are set out, providing a framework within which categorization schemes used in past probabilistic risk assessments and possible future improvements are discussed. In particular the use of input from scoping consequence calculations in deciding how to group source terms, and the question of how modelling uncertainties may be expressed as uncertainties in a final category source terms are considered
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Srivastava, Saurabh Kumar; Singh, Sandeep Kumar; Suri, Jasjit S
2018-04-13
A machine learning (ML)-based text classification system has several classifiers. The performance evaluation (PE) of the ML system is typically driven by the training data size and the partition protocols used. Such systems lead to low accuracy because the text classification systems lack the ability to model the input text data in terms of noise characteristics. This research study proposes a concept of misrepresentation ratio (MRR) on input healthcare text data and models the PE criteria for validating the hypothesis. Further, such a novel system provides a platform to amalgamate several attributes of the ML system such as: data size, classifier type, partitioning protocol and percentage MRR. Our comprehensive data analysis consisted of five types of text data sets (TwitterA, WebKB4, Disease, Reuters (R8), and SMS); five kinds of classifiers (support vector machine with linear kernel (SVM-L), MLP-based neural network, AdaBoost, stochastic gradient descent and decision tree); and five types of training protocols (K2, K4, K5, K10 and JK). Using the decreasing order of MRR, our ML system demonstrates the mean classification accuracies as: 70.13 ± 0.15%, 87.34 ± 0.06%, 93.73 ± 0.03%, 94.45 ± 0.03% and 97.83 ± 0.01%, respectively, using all the classifiers and protocols. The corresponding AUC is 0.98 for SMS data using Multi-Layer Perceptron (MLP) based neural network. All the classifiers, the best accuracy of 91.84 ± 0.04% is shown to be of MLP-based neural network and this is 6% better over previously published. Further we observed that as MRR decreases, the system robustness increases and validated by standard deviations. The overall text system accuracy using all data types, classifiers, protocols is 89%, thereby showing the entire ML system to be novel, robust and unique. The system is also tested for stability and reliability.
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Visual categorization of natural movies by rats.
Vinken, Kasper; Vermaercke, Ben; Op de Beeck, Hans P
2014-08-06
Visual categorization of complex, natural stimuli has been studied for some time in human and nonhuman primates. Recent interest in the rodent as a model for visual perception, including higher-level functional specialization, leads to the question of how rodents would perform on a categorization task using natural stimuli. To answer this question, rats were trained in a two-alternative forced choice task to discriminate movies containing rats from movies containing other objects and from scrambled movies (ordinate-level categorization). Subsequently, transfer to novel, previously unseen stimuli was tested, followed by a series of control probes. The results show that the animals are capable of acquiring a decision rule by abstracting common features from natural movies to generalize categorization to new stimuli. Control probes demonstrate that they did not use single low-level features, such as motion energy or (local) luminance. Significant generalization was even present with stationary snapshots from untrained movies. The variability within and between training and test stimuli, the complexity of natural movies, and the control experiments and analyses all suggest that a more high-level rule based on more complex stimulus features than local luminance-based cues was used to classify the novel stimuli. In conclusion, natural stimuli can be used to probe ordinate-level categorization in rats. Copyright © 2014 the authors 0270-6474/14/3410645-14$15.00/0.
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Yang, Jiale; Kanazawa, So; Yamaguchi, Masami K; Kuriki, Ichiro
2016-03-01
Perceptual color space is continuous; however, we tend to divide it into only a small number of categories. It is unclear whether categorical color perception is obtained solely through the development of the visual system or whether it is affected by language acquisition. To address this issue, we recruited prelinguistic infants (5- to 7-mo-olds) to measure changes in brain activity in relation to categorical color differences by using near-infrared spectroscopy (NIRS). We presented two sets of geometric figures to infants: One set altered in color between green and blue, and the other set altered between two different shades of green. We found a significant increase in hemodynamic responses during the between-category alternations, but not during the within-category alternations. These differences in hemodynamic response based on categorical relationship were observed only in the bilateral occipitotemporal regions, and not in the occipital region. We confirmed that categorical color differences yield behavioral differences in infants. We also observed comparable hemodynamic responses to categorical color differences in adults. The present study provided the first evidence, to our knowledge, that colors of different categories are represented differently in the visual cortex of prelinguistic infants, which implies that color categories may develop independently before language acquisition.
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Maximally Informative Observables and Categorical Perception
Tsiang, Elaine
2012-01-01
We formulate the problem of perception in the framework of information theory, and prove that categorical perception is equivalent to the existence of an observable that has the maximum possible information on the target of perception. We call such an observable maximally informative. Regardless whether categorical perception is real, maximally informative observables can form the basis of a theory of perception. We conclude with the implications of such a theory for the problem of speech per...
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Ignorability for categorical data
DEFF Research Database (Denmark)
Jaeger, Manfred
2005-01-01
We study the problem of ignorability in likelihood-based inference from incomplete categorical data. Two versions of the coarsened at random assumption (car) are distinguished, their compatibility with the parameter distinctness assumption is investigated and several conditions for ignorability...
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Unsupervised Categorization in a Sample of Children with Autism Spectrum Disorders
Edwards, Darren J.; Perlman, Amotz; Reed, Phil
2012-01-01
Studies of supervised Categorization have demonstrated limited Categorization performance in participants with autism spectrum disorders (ASD), however little research has been conducted regarding unsupervised Categorization in this population. This study explored unsupervised Categorization using two stimulus sets that differed in their…
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Feature Screening for Ultrahigh Dimensional Categorical Data with Applications.
Huang, Danyang; Li, Runze; Wang, Hansheng
2014-01-01
Ultrahigh dimensional data with both categorical responses and categorical covariates are frequently encountered in the analysis of big data, for which feature screening has become an indispensable statistical tool. We propose a Pearson chi-square based feature screening procedure for categorical response with ultrahigh dimensional categorical covariates. The proposed procedure can be directly applied for detection of important interaction effects. We further show that the proposed procedure possesses screening consistency property in the terminology of Fan and Lv (2008). We investigate the finite sample performance of the proposed procedure by Monte Carlo simulation studies, and illustrate the proposed method by two empirical datasets.
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DISSECT: a new mnemonic-based approach to the categorization of aortic dissection.
Dake, M D; Thompson, M; van Sambeek, M; Vermassen, F; Morales, J P
2013-08-01
Classification systems for aortic dissection provide important guides to clinical decision-making, but the relevance of traditional categorization schemes is being questioned in an era when endovascular techniques are assuming a growing role in the management of this frequently complex and catastrophic entity. In recognition of the expanding range of interventional therapies now used as alternatives to conventional treatment approaches, the Working Group on Aortic Diseases of the DEFINE Project developed a categorization system that features the specific anatomic and clinical manifestations of the disease process that are most relevant to contemporary decision-making. The DISSECT classification system is a mnemonic-based approach to the evaluation of aortic dissection. It guides clinicians through an assessment of six critical characteristics that facilitate optimal communication of the most salient details that currently influence the selection of a therapeutic option, including those findings that are key when considering an endovascular procedure, but are not taken into account by the DeBakey or Stanford categorization schemes. The six features of aortic dissection include: duration of disease; intimal tear location; size of the dissected aorta; segmental extent of aortic involvement; clinical complications of the dissection, and thrombus within the aortic false lumen. In current clinical practice, endovascular therapy is increasingly considered as an alternative to medical management or open surgical repair in select cases of type B aortic dissection. Currently, endovascular aortic repair is not used for patients with type A aortic dissection, but catheter-based techniques directed at peripheral branch vessel ischemia that may complicate type A dissection are considered valuable adjunctive interventions, when indicated. The use of a new system for categorization of aortic dissection, DISSECT, addresses the shortcomings of well-known established schemes devised
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Gaur, Sonia; Harmon, Stephanie; Mehralivand, Sherif; Bednarova, Sandra; Calio, Brian P; Sugano, Dordaneh; Sidana, Abhinav; Merino, Maria J; Pinto, Peter A; Wood, Bradford J; Shih, Joanna H; Choyke, Peter L; Turkbey, Baris
2018-03-31
Prostate Imaging-Reporting and Data System v. 2 (PI-RADSv2) provides standardized nomenclature for interpretation of prostate multiparametric MRI (mpMRI). Inclusion of additional features for categorization may provide benefit to stratification of disease. To prospectively compare PI-RADSv2 to a qualitative in-house system for detecting prostate cancer on mpMRI. Prospective. In all, 338 patients who underwent mpMRI May 2015-May 2016, with subsequent MRI/transrectal ultrasound fusion-guided biopsy. 3T mpMRI (T 2 W, diffusion-weighted [DW], apparent diffusion coefficient [ADC] map, b-2000 DWI acquisition, and dynamic contrast-enhanced [DCE] MRI). One genitourinary radiologist prospectively read mpMRIs using both in-house and PI-RADSv2 5-category systems. In lesion-based analysis, overall and clinically significant (CS) tumor detection rates (TDR) were calculated for all PI-RADSv2 and in-house categories. The ability of each scoring system to detect cancer was assessed by area under receiver operator characteristic curve (AUC). Within each PI-RADSv2 category, lesions were further stratified by their in-house categories to determine if TDRs can be increased by combining features of both systems. In 338 patients (median prostate-specific antigen [PSA] 6.5 [0.6-113.6] ng/mL; age 64 [44-84] years), 733 lesions were identified (47% tumor-positive). Predictive abilities of both systems were comparable for all (AUC 76-78%) and CS cancers (AUCs 79%). The in-house system had higher overall and CS TDRs than PI-RADSv2 for categories 3 and 4 (P house 65%, PI-RADSv2 22.1%). For lesions categorized as PI-RADSv2 = 4, characterization of suspicious/indeterminate extraprostatic extension (EPE) and equivocal findings across all mpMRI sequences contributed to significantly different TDRs for both systems (TDR range 19-75%, P < 0.05). PI-RADSv2 behaves similarly to an existing validated system that relies on the number of sequences on which a lesion is seen. This prospective
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A nonparametric multiple imputation approach for missing categorical data
Directory of Open Access Journals (Sweden)
Muhan Zhou
2017-06-01
Full Text Available Abstract Background Incomplete categorical variables with more than two categories are common in public health data. However, most of the existing missing-data methods do not use the information from nonresponse (missingness probabilities. Methods We propose a nearest-neighbour multiple imputation approach to impute a missing at random categorical outcome and to estimate the proportion of each category. The donor set for imputation is formed by measuring distances between each missing value with other non-missing values. The distance function is calculated based on a predictive score, which is derived from two working models: one fits a multinomial logistic regression for predicting the missing categorical outcome (the outcome model and the other fits a logistic regression for predicting missingness probabilities (the missingness model. A weighting scheme is used to accommodate contributions from two working models when generating the predictive score. A missing value is imputed by randomly selecting one of the non-missing values with the smallest distances. We conduct a simulation to evaluate the performance of the proposed method and compare it with several alternative methods. A real-data application is also presented. Results The simulation study suggests that the proposed method performs well when missingness probabilities are not extreme under some misspecifications of the working models. However, the calibration estimator, which is also based on two working models, can be highly unstable when missingness probabilities for some observations are extremely high. In this scenario, the proposed method produces more stable and better estimates. In addition, proper weights need to be chosen to balance the contributions from the two working models and achieve optimal results for the proposed method. Conclusions We conclude that the proposed multiple imputation method is a reasonable approach to dealing with missing categorical outcome data with
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CATEGORIZATION OF EVENT SEQUENCES FOR LICENSE APPLICATION
Energy Technology Data Exchange (ETDEWEB)
G.E. Ragan; P. Mecheret; D. Dexheimer
2005-04-14
The purposes of this analysis are: (1) Categorize (as Category 1, Category 2, or Beyond Category 2) internal event sequences that may occur before permanent closure of the repository at Yucca Mountain. (2) Categorize external event sequences that may occur before permanent closure of the repository at Yucca Mountain. This includes examining DBGM-1 seismic classifications and upgrading to DBGM-2, if appropriate, to ensure Beyond Category 2 categorization. (3) State the design and operational requirements that are invoked to make the categorization assignments valid. (4) Indicate the amount of material put at risk by Category 1 and Category 2 event sequences. (5) Estimate frequencies of Category 1 event sequences at the maximum capacity and receipt rate of the repository. (6) Distinguish occurrences associated with normal operations from event sequences. It is beyond the scope of the analysis to propose design requirements that may be required to control radiological exposure associated with normal operations. (7) Provide a convenient compilation of the results of the analysis in tabular form. The results of this analysis are used as inputs to the consequence analyses in an iterative design process that is depicted in Figure 1. Categorization of event sequences for permanent retrieval of waste from the repository is beyond the scope of this analysis. Cleanup activities that take place after an event sequence and other responses to abnormal events are also beyond the scope of the analysis.
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CATEGORIZATION OF EVENT SEQUENCES FOR LICENSE APPLICATION
International Nuclear Information System (INIS)
G.E. Ragan; P. Mecheret; D. Dexheimer
2005-01-01
The purposes of this analysis are: (1) Categorize (as Category 1, Category 2, or Beyond Category 2) internal event sequences that may occur before permanent closure of the repository at Yucca Mountain. (2) Categorize external event sequences that may occur before permanent closure of the repository at Yucca Mountain. This includes examining DBGM-1 seismic classifications and upgrading to DBGM-2, if appropriate, to ensure Beyond Category 2 categorization. (3) State the design and operational requirements that are invoked to make the categorization assignments valid. (4) Indicate the amount of material put at risk by Category 1 and Category 2 event sequences. (5) Estimate frequencies of Category 1 event sequences at the maximum capacity and receipt rate of the repository. (6) Distinguish occurrences associated with normal operations from event sequences. It is beyond the scope of the analysis to propose design requirements that may be required to control radiological exposure associated with normal operations. (7) Provide a convenient compilation of the results of the analysis in tabular form. The results of this analysis are used as inputs to the consequence analyses in an iterative design process that is depicted in Figure 1. Categorization of event sequences for permanent retrieval of waste from the repository is beyond the scope of this analysis. Cleanup activities that take place after an event sequence and other responses to abnormal events are also beyond the scope of the analysis
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Indonesian Text-To-Speech System Using Diphone Concatenative Synthesis
Directory of Open Access Journals (Sweden)
Sutarman
2015-02-01
Full Text Available In this paper, we describe the design and develop a database of Indonesian diphone synthesis using speech segment of recorded voice to be converted from text to speech and save it as audio file like WAV or MP3. In designing and develop a database of Indonesian diphone there are several steps to follow; First, developed Diphone database includes: create a list of sample of words consisting of diphones organized by prioritizing looking diphone located in the middle of a word if not at the beginning or end; recording the samples of words by segmentation. ;create diphones made with a tool Diphone Studio 1.3. Second, develop system using Microsoft Visual Delphi 6.0, includes: the conversion system from the input of numbers, acronyms, words, and sentences into representations diphone. There are two kinds of conversion (process alleged in analyzing the Indonesian text-to-speech system. One is to convert the text to be sounded to phonem and two, to convert the phonem to speech. Method used in this research is called Diphone Concatenative synthesis, in which recorded sound segments are collected. Every segment consists of a diphone (2 phonems. This synthesizer may produce voice with high level of naturalness. The Indonesian Text to Speech system can differentiate special phonemes like in ‘Beda’ and ‘Bedak’ but sample of other spesific words is necessary to put into the system. This Indonesia TTS system can handle texts with abbreviation, there is the facility to add such words.
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Directory of Open Access Journals (Sweden)
Yarrow Dunham
Full Text Available We examined the development of racial categorizations of faces spanning the European-East Asian ("White-Asian" categorical continuum in children between the ages of four and nine as well as adults. We employed a stimulus set that independently varied skin color and other aspects of facial physiognomy, allowing the contribution of each to be assessed independently and in interaction with each other. Results demonstrated substantial development across this age range in children's ability to draw on both sorts of cue, with over twice as much variance explained by stimulus variation in adults than children. Nonetheless, children were clearly sensitive to both skin color and other aspects of facial physiognomy, suggesting that understanding of the White-Asian category boundary develops in a somewhat different way than understanding of the White-Black category boundary, in which attention to features other than skin color appear only somewhat later. Discussion focuses on the implications of these findings for theories of social categorization.
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Blair, Mark R.; Watson, Marcus R.; Walshe, R. Calen; Maj, Fillip
2009-01-01
Humans have an extremely flexible ability to categorize regularities in their environment, in part because of attentional systems that allow them to focus on important perceptual information. In formal theories of categorization, attention is typically modeled with weights that selectively bias the processing of stimulus features. These theories…
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Relational versus absolute representation in categorization.
Edwards, Darren J; Pothos, Emmanuel M; Perlman, Amotz
2012-01-01
This study explores relational-like and absolute-like representations in categorization. Although there is much evidence that categorization processes can involve information about both the particular physical properties of studied instances and abstract (relational) properties, there has been little work on the factors that lead to one kind of representation as opposed to the other. We tested 370 participants in 6 experiments, in which participants had to classify new items into predefined artificial categories. In 4 experiments, we observed a predominantly relational-like mode of classification, and in 2 experiments we observed a shift toward an absolute-like mode of classification. These results suggest 3 factors that promote a relational-like mode of classification: fewer items per group, more training groups, and the presence of a time delay. Overall, we propose that less information about the distributional properties of a category or weaker memory traces for the category exemplars (induced, e.g., by having smaller categories or a time delay) can encourage relational-like categorization.
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Comparing Categorical and Probabilistic Fingerprint Evidence.
Garrett, Brandon; Mitchell, Gregory; Scurich, Nicholas
2018-04-23
Fingerprint examiners traditionally express conclusions in categorical terms, opining that impressions do or do not originate from the same source. Recently, probabilistic conclusions have been proposed, with examiners estimating the probability of a match between recovered and known prints. This study presented a nationally representative sample of jury-eligible adults with a hypothetical robbery case in which an examiner opined on the likelihood that a defendant's fingerprints matched latent fingerprints in categorical or probabilistic terms. We studied model language developed by the U.S. Defense Forensic Science Center to summarize results of statistical analysis of the similarity between prints. Participant ratings of the likelihood the defendant left prints at the crime scene and committed the crime were similar when exposed to categorical and strong probabilistic match evidence. Participants reduced these likelihoods when exposed to the weaker probabilistic evidence, but did not otherwise discriminate among the prints assigned different match probabilities. © 2018 American Academy of Forensic Sciences.
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International Nuclear Information System (INIS)
Ha, Jun Su; Seong, Poong Hyun
2004-01-01
A risk-informed safety significance categorization (RISSC) is to categorize structures, systems, or components (SSCs) of a nuclear power plant (NPP) into two or more groups, according to their safety significance using both probabilistic and deterministic insights. In the conventional methods for the RISSC, the SSCs are quantitatively categorized according to their importance measures for the initial categorization. The final decisions (categorizations) of SSCs, however, are qualitatively made by an expert panel through discussions and adjustments of opinions by using the probabilistic insights compiled in the initial categorization process and combining the probabilistic insights with the deterministic insights. Therefore, owing to the qualitative and linear decision-making process, the conventional methods have the demerits as follows: (1) they are very costly in terms of time and labor, (2) it is not easy to reach the final decision, when the opinions of the experts are in conflict and (3) they have an overlapping process due to the linear paradigm (the categorization is performed twice - first, by the engineers who propose the method, and second, by the expert panel). In this work, a method for RISSC using the analytic hierarchy process (AHP) and bayesian belief networks (BBN) is proposed to overcome the demerits of the conventional methods and to effectively arrive at a final decision (or categorization). By using the AHP and BBN, the expert panel takes part in the early stage of the categorization (that is, the quantification process) and the safety significance based on both probabilistic and deterministic insights is quantified. According to that safety significance, SSCs are quantitatively categorized into three categories such as high safety significant category (Hi), potentially safety significant category (Po), or low safety significant category (Lo). The proposed method was applied to the components such as CC-V073, CV-V530, and SI-V644 in Ulchin Unit
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PFTijah: text search in an XML database system
Hiemstra, Djoerd; Rode, H.; van Os, R.; Flokstra, Jan
2006-01-01
This paper introduces the PFTijah system, a text search system that is integrated with an XML/XQuery database management system. We present examples of its use, we explain some of the system internals, and discuss plans for future work. PFTijah is part of the open source release of MonetDB/XQuery.
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The effect of Social Categorization on Trust Decisions in a Trust Game Paradigm
Directory of Open Access Journals (Sweden)
Elena eCanadas
2015-10-01
Full Text Available This study investigates whether participants use categorical or individual knowledge about others in order to make cooperative decisions in an adaptation of the trust game paradigm. Concretely, participants had to choose whether to cooperate or not with black and white unknown partners as a function of expected partners’ reciprocity rates. Reciprocity rates were manipulated by associating 3 out of 4 members of an ethnic group (blacks or whites consistent members with high (or low reciprocity rates, while the remaining member of the ethnic group is associated with the reciprocity of the other ethnic group (inconsistent member. Results show opposite performance’s patterns for white and black partners. Participants seemed to categorize white partners, by making the same cooperation decision with all the partners, that is, they cooperated equally with consistent and inconsistent white partners. However, this effect was not found for black partners, suggesting a tendency to individuate them. Results are discussed in light of the implications of these categorization-individuation processes for intergroup relations and cooperative economic behavior.
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At face value : categorization goals modulate vigilance for angry faces
Van Dillen, L.F.; Lakens, D.; Bos, van den K.
2010-01-01
The present research demonstrates that the attention bias to angry faces is modulated by how people categorize these faces. Since facial expressions contain psychologically meaningful information for social categorizations (i.e., gender, personality) but not for non-social categorizations (i.e.,
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Categorizing clients with disabilities
DEFF Research Database (Denmark)
Kjeldsen, Lena; Amby, Finn
Danish governments have continuously proclaimed goals of raising the employment rate for people with disabilities, most recently in the publication “10 goal for social mobility” (Government 2016). In spite of this, the employment rate for people with disabilities has been more than 30 percent less...... than that of people without disabilities for more than a decade (Larsen & Høgelund 2015). An explanation of this difference could be the limited connection between these general goals, the employment laws and the actual implementation of the goals in the job centers (Amby 2015). Earlier Danish studies...... have by large focused on employment and disability at the stage where the client already has been categorized as having a disability (e.g. Møller & Stone 2013). This study offers new insight to the field in a Danish context by exploring the process in which people with disabilities are categorized...
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Taxi texts as reading material and a source of cultural schemata for ...
African Journals Online (AJOL)
Given the limited time available for the teaching of Zulu and the lack of availability of comprehensible, authentic texts for learners with limited competence, one ... Using the Vygotskyan notion of the teacher mediating shared meaning between the text and author, the texts are analysed and categorized within the context of ...
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Ponsi, Giorgia; Panasiti, Maria Serena; Rizza, Giulia; Aglioti, Salvatore Maria
2017-08-30
Members of highly social species decode, interpret, and react to the emotion of a conspecific depending on whether the other belongs to the same (ingroup) or different (outgroup) social group. While studies indicate that consciously perceived emotional stimuli drive social categorization, information about how implicit emotional stimuli and specific physiological signatures affect social categorization is lacking. We addressed this issue by exploring whether subliminal and supraliminal affective priming can influence the categorization of neutral faces as ingroup versus outgroup. Functional infrared thermal imaging was used to investigate whether the effect of affective priming on the categorization decision was moderated by the activation of the sympathetic nervous system (SNS). During the subliminal condition, we found that stronger SNS activation after positive or negative affective primes induced ingroup and outgroup face categorization, respectively. The exact opposite pattern (i.e. outgroup after positive and ingroup after negative primes) was observed in the supraliminal condition. We also found that misattribution effects were stronger in people with low emotional awareness, suggesting that this trait moderates how one recognizes SNS signals and employs them for unrelated decisions. Our results allow the remarkable implication that low-level affective reactions coupled with sympathetic activation may bias social categorization. © 2017 The Author(s).
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Experimental Fuels Facility Re-categorization Based on Facility Segmentation
Energy Technology Data Exchange (ETDEWEB)
Reiss, Troy P.; Andrus, Jason
2016-07-01
The Experimental Fuels Facility (EFF) (MFC-794) at the Materials and Fuels Complex (MFC) located on the Idaho National Laboratory (INL) Site was originally constructed to provide controlled-access, indoor storage for radiological contaminated equipment. Use of the facility was expanded to provide a controlled environment for repairing contaminated equipment and characterizing, repackaging, and treating waste. The EFF facility is also used for research and development services, including fuel fabrication. EFF was originally categorized as a LTHC-3 radiological facility based on facility operations and facility radiological inventories. Newly planned program activities identified the need to receive quantities of fissionable materials in excess of the single parameter subcritical limit in ANSI/ANS-8.1, “Nuclear Criticality Safety in Operations with Fissionable Materials Outside Reactors” (identified as “criticality list” quantities in DOE-STD-1027-92, “Hazard Categorization and Accident Analysis Techniques for Compliance with DOE Order 5480.23, Nuclear Safety Analysis Reports,” Attachment 1, Table A.1). Since the proposed inventory of fissionable materials inside EFF may be greater than the single parameter sub-critical limit of 700 g of U-235 equivalent, the initial re-categorization is Hazard Category (HC) 2 based upon a potential criticality hazard. This paper details the facility hazard categorization performed for the EFF. The categorization was necessary to determine (a) the need for further safety analysis in accordance with LWP-10802, “INL Facility Categorization,” and (b) compliance with 10 Code of Federal Regulations (CFR) 830, Subpart B, “Safety Basis Requirements.” Based on the segmentation argument presented in this paper, the final hazard categorization for the facility is LTHC-3. Department of Energy Idaho (DOE-ID) approval of the final hazard categorization determined by this hazard assessment document (HAD) was required per the
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Multivariate sensitivity to voice during auditory categorization.
Lee, Yune Sang; Peelle, Jonathan E; Kraemer, David; Lloyd, Samuel; Granger, Richard
2015-09-01
Past neuroimaging studies have documented discrete regions of human temporal cortex that are more strongly activated by conspecific voice sounds than by nonvoice sounds. However, the mechanisms underlying this voice sensitivity remain unclear. In the present functional MRI study, we took a novel approach to examining voice sensitivity, in which we applied a signal detection paradigm to the assessment of multivariate pattern classification among several living and nonliving categories of auditory stimuli. Within this framework, voice sensitivity can be interpreted as a distinct neural representation of brain activity that correctly distinguishes human vocalizations from other auditory object categories. Across a series of auditory categorization tests, we found that bilateral superior and middle temporal cortex consistently exhibited robust sensitivity to human vocal sounds. Although the strongest categorization was in distinguishing human voice from other categories, subsets of these regions were also able to distinguish reliably between nonhuman categories, suggesting a general role in auditory object categorization. Our findings complement the current evidence of cortical sensitivity to human vocal sounds by revealing that the greatest sensitivity during categorization tasks is devoted to distinguishing voice from nonvoice categories within human temporal cortex. Copyright © 2015 the American Physiological Society.
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Directory of Open Access Journals (Sweden)
Kai eSiedenburg
2016-01-01
Full Text Available This paper investigates the role of acoustic and categorical information in timbre dissimilarity ratings. Using a Gammatone-filterbank-based sound transformation, we created tones that were rated as less familiar than recorded tones from orchestral instruments and that were harder to associate with an unambiguous sound source (Exp. 1. A subset of transformed tones, a set of orchestral recordings, and a mixed set were then rated on pairwise dissimilarity (Exp. 2A. We observed that recorded instrument timbres clustered into subsets that distinguished timbres according to acoustic and categorical properties. For the subset of cross-category comparisons in the mixed set, we observed asymmetries in the distribution of ratings, as well as a stark decay of inter-rater agreement. These effects were replicated in a more robust within-subjects design (Exp. 2B and cannot be explained by acoustic factors alone. We finally introduced a novel model of timbre dissimilarity based on partial least-squares regression that compared the contributions of both acoustic and categorical timbre descriptors. The best model fit (R^2 = .88 was achieved when both types of descriptors were taken into account. These findings are interpreted as evidence for an interplay of acoustic and categorical information in timbre dissimilarity perception.
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Personas públicas no estatales: ¿Crisis o ductilidad de la categoría?
Directory of Open Access Journals (Sweden)
Graciela Ruocco
2014-02-01
Full Text Available Qué mejor para encarar este homenaje, que hacerlo evocando a quien fue el creador de esta categoría de personas jurídicas, el Maestro Enrique SAYAGUÉS LASO.CAGNONI, en su recordado trabajo sobre la evolución del régimen jurídico de las personas públicas no estatales, luego de constatar una realidad que evidenciaba una verdadera transformación de la figura, expresaba: “…no podemos seguir repitiendo, enseñando, aquellos principios o elementos de organización de las personas públicas no estatales, cuando tenemos que reconocer que hay otras personas públicas no estatales cuya existencia no podemos dudar, porque el imperio legislativo es muy claro, y que no obedecen ya ni a los criterios básicos ni a los elementos configurantes que han sido clásicos en nuestra investigación, en nuestra enseñanza.”Introducción. Conceptualización. In/Definiciones de los caracteres de la figura. Origen y desarrollo de la categoría. Crisis de la categoría. Auge y desdibujamiento de la categoría. Replanteo de la doctrina clásica. Conclusiones
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K Basins fuel encapsulation and storage hazard categorization
International Nuclear Information System (INIS)
Porten, D.R.
1994-12-01
This document establishes the initial hazard categorization for K-Basin fuel encapsulation and storage in the 100 K Area of the Hanford site. The Hazard Categorization for K-Basins addresses the potential for release of radioactive and non-radioactive hazardous material located in the K-Basins and their supporting facilities. The Hazard Categorization covers the hazards associated with normal K-Basin fuel storage and handling operations, fuel encapsulation, sludge encapsulation, and canister clean-up and disposal. The criteria categorizes a facility based on total curies per radionuclide located in the facility. Tables 5-3 and 5-4 display the results in section 5.0. In accordance with DOE-STD-1027 and the analysis provided in section 5.0, the K East Basin fuel encapsulation and storage activity and the K West Basin storage are classified as a open-quotes Category 2close quotes Facility
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Interactive Book Reading with Expository Science Texts in Preschool Special Education Classrooms
Breit-Smith, Allison; Busch, Jamie D.; Dinnesen, Megan Schneider; Guo, Ying
2017-01-01
Expository, or informational, text can be defined as a type of nonfiction that describes a topic categorically by moving from subtopic to subtopic with the intent to teach content or convey information (Maloch & Bomer, 2013). One vehicle for teaching the text structure and language of expository text to preschool-age children is through…
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Maui Space Surveillance System Satellite Categorization Laboratory
Deiotte, R.; Guyote, M.; Kelecy, T.; Hall, D.; Africano, J.; Kervin, P.
The MSSS satellite categorization laboratory is a fusion of robotics and digital imaging processes that aims to decompose satellite photometric characteristics and behavior in a controlled setting. By combining a robot, light source and camera to acquire non-resolved images of a model satellite, detailed photometric analyses can be performed to extract relevant information about shape features, elemental makeup, and ultimately attitude and function. Using the laboratory setting a detailed analysis can be done on any type of material or design and the results cataloged in a database that will facilitate object identification by "curve-fitting" individual elements in the basis set to observational data that might otherwise be unidentifiable. Currently the laboratory has created, an ST-Robotics five degree of freedom robotic arm, collimated light source and non-focused Apogee camera have all been integrated into a MATLAB based software package that facilitates automatic data acquisition and analysis. Efforts to date have been aimed at construction of the lab as well as validation and verification of simple geometric objects. Simple tests on spheres, cubes and simple satellites show promising results that could lead to a much better understanding of non-resolvable space object characteristics. This paper presents a description of the laboratory configuration and validation test results with emphasis on the non-resolved photometric characteristics for a variety of object shapes, spin dynamics and orientations. The future vision, utility and benefits of the laboratory to the SSA community as a whole are also discussed.
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Involution of categorical thinking processes in Alzheimer's disease: Preliminary results
Directory of Open Access Journals (Sweden)
Claudia Berlim de Mello
Full Text Available Abstract Alzheimer's disease (AD is a degenerative brain disorder characterized by progressive losses in cognitive functions, including memory. The sequence of these losses may correspond to the inverse order of the normal sequence of ontogenetic cognitive acquisitions, a process named retrogenesis. One of the acquisitions that improve in normal development is the ability to retrieve previously acquired categorical knowledge from semantic memory in order to guide associative thinking and memory processes; consequently, children become able to associate verbal stimuli in more complex taxonomic ways and to use this knowledge to improve their recall. Objective: In this study, we investigated if AD-related deterioration of semantic memory involves a decrease in categorical thinking processes with progression of the disease, according to the retrogenesis hypothesis. Methods: We compared the performance of AD patients at mild and moderate stages, and of groups of 7, 10 and 14-year-old children in tasks of free association along with recall tasks of perceptually and semantically related stimuli. Results: ANOVAS showed a decrease in taxonomic associations and an increase in diffuse associations between mild and moderate stages, corresponding to the inverse order shown by the child groups. At the moderate AD stage, the pattern was similar to that of 7-year-old children. Both groups of patients performed worse than child groups in recall tasks. Conclusions: These results corroborate the hypothesis of an involution of the processes of categorical associative thinking in the course of the disease.
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The time course from gender categorization to gender-stereotype activation.
Zhang, Xiaobin; Li, Qiong; Sun, Shan; Zuo, Bin
2018-02-01
Social categorization is the foundation of stereotype activation, and the process from social categorization to stereotype activation is rapid. However, the time from social categorization to stereotype activation is unknown. This study involves a real-time measurement of the time course of gender-stereotype activation beginning with gender categorization using event-related potential technology with a face as the priming stimulus. We found that 195 ms after a face stimulus was presented, brain waves stimulated by male or female gender categorization showed a clear separation, with male faces stimulating larger N200 waves. In addition, 475 ms after a face stimulus appeared or 280 ms after the gendercategorization process occurred, gender-stereotype-consistent and gender-stereotype-inconsistent stimuli were distinct, with gender-stereotype-inconsistent stimuli inducing larger N400 waves. These results indicate that during gender-stereotype activation by face perception, gender categorization occurs approximately 195 ms after seeing a face stimulus and a gender stereotype is activated at approximately 475 ms.
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Directory of Open Access Journals (Sweden)
Siti Azizah
2015-12-01
Full Text Available Analysis skill is advance cognitive skill that the students must have in their learning, including in Vocabulary I. It studies how the assessment forms of categorizing grid technique which can practice students’ skill in analyzing. After researched, tested definite sample, revised based on expert’s suggestion, as well as the implementation, there is a finding that the technique of assessment is valid and good technique. Assessment technique develop to support learning activity in Vocabulary I in “compound nouns” topic using categorizing grid to train students’ skill in analyzing is acceptable. The proofs are: the assessment running well, there are solutions for the obstacles during the assessment activity, students’ activity running well, students give positive response.
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Modeling human color categorization
van den Broek, Egon; Schouten, Th.E.; Kisters, P.M.F.
A unique color space segmentation method is introduced. It is founded on features of human cognition, where 11 color categories are used in processing color. In two experiments, human subjects were asked to categorize color stimuli into these 11 color categories, which resulted in markers for a
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Cultural differences in categorical memory errors persist with age.
Gutchess, Angela; Boduroglu, Aysecan
2018-01-02
This cross-sectional experiment examined the influence of aging on cross-cultural differences in memory errors. Previous research revealed that Americans committed more categorical memory errors than Turks; we tested whether the cognitive constraints associated with aging impacted the pattern of memory errors across cultures. Furthermore, older adults are vulnerable to memory errors for semantically-related information, and we assessed whether this tendency occurs across cultures. Younger and older adults from the US and Turkey studied word pairs, with some pairs sharing a categorical relationship and some unrelated. Participants then completed a cued recall test, generating the word that was paired with the first. These responses were scored for correct responses or different types of errors, including categorical and semantic. The tendency for Americans to commit more categorical memory errors emerged for both younger and older adults. In addition, older adults across cultures committed more memory errors, and these were for semantically-related information (including both categorical and other types of semantic errors). Heightened vulnerability to memory errors with age extends across cultural groups, and Americans' proneness to commit categorical memory errors occurs across ages. The findings indicate some robustness in the ways that age and culture influence memory errors.
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Directory of Open Access Journals (Sweden)
Chien-Kai Chang
2018-03-01
Full Text Available People go beyond the inferences afforded by a person’s observable features to make guesses about personality traits or even social memberships such as political affiliations. The present study extended Hu et al. (2016 to further investigate the influence of provincial appearance on differentiating KMT (Kuomintang and DPP (Democratic Progressive Party candidates by headshot photos with three experiments. In Experiment 1 (Membership categorization task, participants categorized the photos from the pilot study (where the difference between the perceived age of KMT and DPP candidates was reduced and divided into four blocks by their perceived age. We found that participants were able to distinguish KMT from DPP candidates significantly better than chance, even when the perceived age difference between the two parties was minimized. In Experiment 2 (Trait rating task, we asked young and middle-aged adults to rate six traits on candidate’s photos. We found that “provincial appearance” is the core trait differentiating the two parties for both young and older participants, while “facial maturity” is another trait for older participants only. In Experiment 3 (Double categorization task, we asked participants to categorize the photos from the Exp. 1 on their membership (KMT or DPP and on provincial appearance (mainlander or native Taiwanese in two separate sessions. Results showed that young adults were likely to use the “provincial appearance” as the main characteristic cue to categorize candidates’ political membership. In sum, our study showed that Taiwanese adults could categorize the two parties by their headshot photos when age cue was eliminated. Moreover, provincial appearance was the most critical trait for differentiating between KMT and DPP candidates, which may reflect a piece of significant history during the development of the two parties.
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42 CFR 405.213 - Re-evaluation of a device categorization.
2010-10-01
... 42 Public Health 2 2010-10-01 2010-10-01 false Re-evaluation of a device categorization. 405.213... Decisions That Relate to Health Care Technology § 405.213 Re-evaluation of a device categorization. (a... experimental/investigational (Category A) may request re-evaluation of the categorization decision. (2) A...
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Object Categorization in Finer Levels Relies More on Higher Spatial Frequencies and Takes Longer.
Ashtiani, Matin N; Kheradpisheh, Saeed R; Masquelier, Timothée; Ganjtabesh, Mohammad
2017-01-01
The human visual system contains a hierarchical sequence of modules that take part in visual perception at different levels of abstraction, i.e., superordinate, basic, and subordinate levels. One important question is to identify the "entry" level at which the visual representation is commenced in the process of object recognition. For a long time, it was believed that the basic level had a temporal advantage over two others. This claim has been challenged recently. Here we used a series of psychophysics experiments, based on a rapid presentation paradigm, as well as two computational models, with bandpass filtered images of five object classes to study the processing order of the categorization levels. In these experiments, we investigated the type of visual information required for categorizing objects in each level by varying the spatial frequency bands of the input image. The results of our psychophysics experiments and computational models are consistent. They indicate that the different spatial frequency information had different effects on object categorization in each level. In the absence of high frequency information, subordinate and basic level categorization are performed less accurately, while the superordinate level is performed well. This means that low frequency information is sufficient for superordinate level, but not for the basic and subordinate levels. These finer levels rely more on high frequency information, which appears to take longer to be processed, leading to longer reaction times. Finally, to avoid the ceiling effect, we evaluated the robustness of the results by adding different amounts of noise to the input images and repeating the experiments. As expected, the categorization accuracy decreased and the reaction time increased significantly, but the trends were the same. This shows that our results are not due to a ceiling effect. The compatibility between our psychophysical and computational results suggests that the temporal
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Priming and the guidance by visual and categorical templates in visual search
Directory of Open Access Journals (Sweden)
Anna eWilschut
2014-02-01
Full Text Available Visual search is thought to be guided by top-down templates that are held in visual working memory. Previous studies have shown that a search-guiding template can be rapidly and strongly implemented from a visual cue, whereas templates are less effective when based on categorical cues. Direct visual priming from cue to target may underlie this difference. In two experiments we first asked observers to remember two possible target colors. A postcue then indicated which of the two would be the relevant color. The task was to locate a briefly presented and masked target of the cued color among irrelevant distractor items. Experiment 1 showed that overall search accuracy improved more rapidly on the basis of a direct visual postcue that carried the target color, compared to a neutral postcue that pointed to the memorized color. However, selectivity towards the target feature, i.e. the extent to which observers searched selectively among items of the cued versus uncued color, was found to be relatively unaffected by the presence of the visual signal. In Experiment 2 we compared search that was based on either visual or categorical information, but now controlled for direct visual priming. This resulted in no differences in overall performance nor selectivity. Altogether the results suggest that perceptual processing of visual search targets is facilitated by priming from visual cues, whereas attentional selectivity is enhanced by a working memory template that can formed from both visual and categorical input. Furthermore, if the priming is controlled for, categorical- and visual-based templates similarly enhance search guidance.
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formales o categorías tipo interfase?
Directory of Open Access Journals (Sweden)
Julio Alfonso Piña López
2011-01-01
Full Text Available Se analiza la relación entre los fenómenos básicos y los fenómenos del desarrollo y la personalidad, en términos de si los primeros deberían concebirse como condición de existencia necesaria y suficiente de los segundos, y, a su vez, si los unos y los otros lo son de los últimos. Se concluye que dependiendo de cómo se plantee dicha relación, es que eventualmente tendrá sentido la construcción de teorías formales sobre el desarrollo y la personalidad, o bien caracterizar ambos fenómenos como categorías tipo interfase con fines de predicción.
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Wicher Bergsma; Andries van der Ark
2015-01-01
A package accompanying the book Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data by Bergsma, Croon, & Hagenaars, 2009. It’s purpose is fitting and testing of marginal models.
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Semantic Categorization Precedes Affective Evaluation of Visual Scenes
Nummenmaa, Lauri; Hyona, Jukka; Calvo, Manuel G.
2010-01-01
We compared the primacy of affective versus semantic categorization by using forced-choice saccadic and manual response tasks. Participants viewed paired emotional and neutral scenes involving humans or animals flashed rapidly in extrafoveal vision. Participants were instructed to categorize the targets by saccading toward the location occupied by…
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Categorization and category effects in normal object recognition
DEFF Research Database (Denmark)
Gerlach, Christian; Law, Ian; Gade, Anders
2000-01-01
and that the categorization of artefacts, as opposed to the categorization of natural objects, is based, in part, on action knowledge mediated by the left premotor cortex. However, because artefacts and natural objects often caused activation in the same regions within tasks, processing of these categories is not totally...
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Categorical Perception of Emotional Facial Expressions in Preschoolers
Cheal, Jenna L.; Rutherford, M. D.
2011-01-01
Adults perceive emotional facial expressions categorically. In this study, we explored categorical perception in 3.5-year-olds by creating a morphed continuum of emotional faces and tested preschoolers' discrimination and identification of them. In the discrimination task, participants indicated whether two examples from the continuum "felt the…
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Social Media Text Classification by Enhancing Well-Formed Text Trained Model
Directory of Open Access Journals (Sweden)
Phat Jotikabukkana
2016-09-01
Full Text Available Social media are a powerful communication tool in our era of digital information. The large amount of user-generated data is a useful novel source of data, even though it is not easy to extract the treasures from this vast and noisy trove. Since classification is an important part of text mining, many techniques have been proposed to classify this kind of information. We developed an effective technique of social media text classification by semi-supervised learning utilizing an online news source consisting of well-formed text. The computer first automatically extracts news categories, well-categorized by publishers, as classes for topic classification. A bag of words taken from news articles provides the initial keywords related to their category in the form of word vectors. The principal task is to retrieve a set of new productive keywords. Term Frequency-Inverse Document Frequency weighting (TF-IDF and Word Article Matrix (WAM are used as main methods. A modification of WAM is recomputed until it becomes the most effective model for social media text classification. The key success factor was enhancing our model with effective keywords from social media. A promising result of 99.50% accuracy was achieved, with more than 98.5% of Precision, Recall, and F-measure after updating the model three times.
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A categorical framework for quantum theory
Energy Technology Data Exchange (ETDEWEB)
Filk, T. [Institute for Physics, University of Freiburg (Germany); Parmenides Center for the Study of Thinking, Muenchen (Germany); Mueller, A. von [Parmenides Center for the Study of Thinking, Muenchen (Germany); Institute for Philosophy, University of Munich (Germany); SISSA, Trieste (Italy)
2010-11-15
Underlying any physical theory is a layer of conceptual frames. They connect the mathematical structures used in theoretical models with the phenomena, but they also constitute our fundamental assumptions about reality. Many of the discrepancies between quantum physics and classical physics (including Maxwell's electrodynamics and relativity) can be traced back to these categorical foundations. We argue that classical physics corresponds to the factual aspects of reality and requires a categorical framework which consists of four interdependent components: boolean logic, the linear-sequential notion of time, the principle of sufficient reason, and the dichotomy between observer and observed. None of these can be dropped without affecting the others. However, quantum theory also addresses the ''status nascendi'' of facts, i.e., their coming into being. Therefore, quantum physics requires a different conceptual framework which will be elaborated in this article. It is shown that many of its components are already present in the standard formalisms of quantum physics, but in most cases they are highlighted not so much from a conceptual perspective but more from their mathematical structures. The categorical frame underlying quantum physics includes a profoundly different notion of time which encompasses a crucial role for the present. The article introduces the concept of a categorical apparatus (a framework of interdependent categories), explores the appropriate apparatus for classical and quantum theory, and elaborates in particular on the category of non-sequential time and an extended present which seems to be relevant for a quantum theory of (space)-time. (Abstract Copyright [2010], Wiley Periodicals, Inc.)
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Categorical Perception of emotional faces is not affected by aging
Directory of Open Access Journals (Sweden)
Mandy Rossignol
2009-11-01
Full Text Available Effects of normal aging on categorical perception (CP of facial emotional expressions were investigated. One-hundred healthy participants (20 to 70 years old; five age groups had to identify morphed expressions ranging from neutrality to happiness, sadness and fear. We analysed percentages and latencies of correct recognition for nonmorphed emotional expressions, percentages and latencies of emotional recognition for morphed-faces, locus of the boundaries along the different continua and the number of intrusions. The results showed that unmorphed happy and fearful faces were better processed than unmorphed sad and neutral faces. For morphed faces, CP was confirmed, as latencies increased as a function of the distance between the displayed morph and the original unmorphed photograph. The locus of categorical boundaries was not affected by age. Aging did not alter the accuracy of recognition for original pictures, no more than the emotional recognition of morphed faces or the rate of intrusions. However, latencies of responses increased with age, for both unmorphed and morphed pictures. In conclusion, CP of facial expressions appears to be spared in aging.
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Toddlers' categorization of typical and scrambled dolls and cars.
Heron, Michelle; Slaughter, Virginia
2008-09-01
Previous research has demonstrated discrimination of scrambled from typical human body shapes at 15-18 months of age [Slaughter, V., & Heron, M. (2004). Origins and early development of human body knowledge. Monographs of the Society for Research in Child Development, 69]. In the current study 18-, 24- and 30-month-old infants were presented with four typical and four scrambled dolls in a sequential touching procedure, to assess the development of explicit categorization of human body shapes. Infants were also presented with typical and scrambled cars, allowing comparison of infants' categorization of scrambled and typical exemplars in a different domain. Spontaneous comments regarding category membership were recorded. Girls categorized dolls and cars as typical or scrambled at 30 months, whereas boys only categorized the cars. Earliest categorization was for typical and scrambled cars, at 24 months, but only for boys. Language-based knowledge, coded from infants' comments, followed the same pattern. This suggests that human body knowledge does not have privileged status in infancy. Gender differences in performance are discussed.
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Consideraciones sobre la categoría epistemológica de modelo
Directory of Open Access Journals (Sweden)
Adriana Patricia Gallego Torres
2012-04-01
Full Text Available En este artículo la autora presenta las diversas concepciones acerca de la categoría epistemológica de modelo científico. Intenta demostrar que esta categoría sigue estando afincada en el estatuto científico de la física, por lo que emplear la de teoría científica o la de modelo sin unas especificaciones desde aproximaciones históricas no aporta un cambio significativo en la mirada habitual sobre el estatuto científico de las diferentes ciencias de la naturaleza, especialmente si las conceptualizaciones al respecto siguen teniendo como matriz la física. Tampoco contribuye a una didáctica de la modelización o modelación, esto es, la de la construcción de modelos científicos en el aula, como se demuestra en los párrafos de este artículo.
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The effect of embodied emotive states on cognitive categorization.
Price, Tom F; Harmon-Jones, Eddie
2010-12-01
Research has uncovered that positive affect broadens cognitive categorization. The motivational dimensional model, however, posits that positive affect is not a unitary construct with only one cognitive consequence. Instead, this model puts forth that there are different positive affects varying in approach motivational intensity. According to this model, only positive affects lower in motivational intensity should broaden cognitive processes, whereas positive affects higher in motivational intensity should narrow cognitive processes. Consistent with these predictions, high approach positive affect has been shown to narrow attention, whereas low approach positive affect has been shown to broaden it (Gable & Harmon-Jones, 2008). High approach positive affect, therefore, might narrow categorization. Two experiments investigated this possibility by having participants respond to cognitive categorization tasks in 3 body postures designed to elicit different levels of approach motivation: reclining backward, which should evoke low approach motivation; sitting upright, which should evoke moderate approach motivation; and leaning forward, which should evoke high approach motivation. Participants smiled while in each posture in order to experience positive affect. Experiment 1 provided initial support for the idea that high approach positive affect narrows categorization and low approach positive affect broadens categorization. Experiment 2 replicated these findings with improved smiling instructions. These results extend previous work by showing that the motivational model's predictions hold for basic attentional processes as well as higher level cognitive processes such as categorization.
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Neural network models of categorical perception.
Damper, R I; Harnad, S R
2000-05-01
Studies of the categorical perception (CP) of sensory continua have a long and rich history in psychophysics. In 1977, Macmillan, Kaplan, and Creelman introduced the use of signal detection theory to CP studies. Anderson and colleagues simultaneously proposed the first neural model for CP, yet this line of research has been less well explored. In this paper, we assess the ability of neural-network models of CP to predict the psychophysical performance of real observers with speech sounds and artificial/novel stimuli. We show that a variety of neural mechanisms are capable of generating the characteristics of CP. Hence, CP may not be a special model of perception but an emergent property of any sufficiently powerful general learning system.
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Professional Norms and Categorization Practices among Danish Social Workers
DEFF Research Database (Denmark)
Møller, Marie Østergaard
2012-01-01
clients. In my material I identify a difference between an administrative and a social-pedagogical reasoning about social workers’ casework. I analyze this difference as expressing different kinds of professional norms and I try to explain varying categorization practices with this difference. Finally, I...... compare correspondences between professional norms and categorization practice to the regulative setting (sickness benefits or social welfare) to see whether this matters to the found relationships. The analysis shows a relationship between administrative reasoning and stereotyped categorization of social...
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Trmčić, A; Ralyea, R; Meunier-Goddik, L; Donnelly, C; Glass, K; D'Amico, D; Meredith, E; Kehler, M; Tranchina, N; McCue, C; Wiedmann, M
2017-01-01
Development of science-based interventions in raw milk cheese production is challenging due to the large diversity of production procedures and final products. Without an agreed upon categorization scheme, science-based food safety evaluations and validation of preventive controls would have to be completed separately on each individual cheese product, which is not feasible considering the large diversity of products and the typically small scale of production. Thus, a need exists to systematically group raw milk cheeses into logically agreed upon categories to be used for food safety evaluations. This paper proposes and outlines one such categorization scheme that provides for 30 general categories of cheese. As a base for this systematization and categorization of raw milk cheese, we used Table B of the US Food and Drug Administration's 2013 Food Code, which represents the interaction of pH and water activity for control of vegetative cells and spores in non-heat-treated food. Building on this table, we defined a set of more granular pH and water activity categories to better represent the pH and water activity range of different raw milk cheeses. The resulting categorization scheme was effectively validated using pH and water activity values determined for 273 different cheese samples collected in the marketplace throughout New York State, indicating the distribution of commercially available cheeses among the categories proposed here. This consensus categorization of cheese provides a foundation for a feasible approach to developing science-based solutions to assure compliance of the cheese processors with food safety regulations, such as those required by the US Food Safety Modernization Act. The key purpose of the cheese categorization proposed here is to facilitate product assessment for food safety risks and provide scientifically validated guidance on effective interventions for general cheese categories. Once preventive controls for a given category have
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Out of sight, out of mind: Categorization learning and normal aging.
Schenk, Sabrina; Minda, John P; Lech, Robert K; Suchan, Boris
2016-10-01
The present combined EEG and eye tracking study examined the process of categorization learning at different age ranges and aimed to investigate to which degree categorization learning is mediated by visual attention and perceptual strategies. Seventeen young subjects and ten elderly subjects had to perform a visual categorization task with two abstract categories. Each category consisted of prototypical stimuli and an exception. The categorization of prototypical stimuli was learned very early during the experiment, while the learning of exceptions was delayed. The categorization of exceptions was accompanied by higher P150, P250 and P300 amplitudes. In contrast to younger subjects, elderly subjects had problems in the categorization of exceptions, but showed an intact categorization performance for prototypical stimuli. Moreover, elderly subjects showed higher fixation rates for important stimulus features and higher P150 amplitudes, which were positively correlated with the categorization performances. These results indicate that elderly subjects compensate for cognitive decline through enhanced perceptual and attentional processing of individual stimulus features. Additionally, a computational approach has been applied and showed a transition away from purely abstraction-based learning to an exemplar-based learning in the middle block for both groups. However, the calculated models provide a better fit for younger subjects than for elderly subjects. The current study demonstrates that human categorization learning is based on early abstraction-based processing followed by an exemplar-memorization stage. This strategy combination facilitates the learning of real world categories with a nuanced category structure. In addition, the present study suggests that categorization learning is affected by normal aging and modulated by perceptual processing and visual attention. Copyright © 2016 Elsevier Ltd. All rights reserved.
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Regression analysis with categorized regression calibrated exposure: some interesting findings
Directory of Open Access Journals (Sweden)
Hjartåker Anette
2006-07-01
Full Text Available Abstract Background Regression calibration as a method for handling measurement error is becoming increasingly well-known and used in epidemiologic research. However, the standard version of the method is not appropriate for exposure analyzed on a categorical (e.g. quintile scale, an approach commonly used in epidemiologic studies. A tempting solution could then be to use the predicted continuous exposure obtained through the regression calibration method and treat it as an approximation to the true exposure, that is, include the categorized calibrated exposure in the main regression analysis. Methods We use semi-analytical calculations and simulations to evaluate the performance of the proposed approach compared to the naive approach of not correcting for measurement error, in situations where analyses are performed on quintile scale and when incorporating the original scale into the categorical variables, respectively. We also present analyses of real data, containing measures of folate intake and depression, from the Norwegian Women and Cancer study (NOWAC. Results In cases where extra information is available through replicated measurements and not validation data, regression calibration does not maintain important qualities of the true exposure distribution, thus estimates of variance and percentiles can be severely biased. We show that the outlined approach maintains much, in some cases all, of the misclassification found in the observed exposure. For that reason, regression analysis with the corrected variable included on a categorical scale is still biased. In some cases the corrected estimates are analytically equal to those obtained by the naive approach. Regression calibration is however vastly superior to the naive method when applying the medians of each category in the analysis. Conclusion Regression calibration in its most well-known form is not appropriate for measurement error correction when the exposure is analyzed on a
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Learning and transfer of category knowledge in an indirect categorization task.
Helie, Sebastien; Ashby, F Gregory
2012-05-01
Knowledge representations acquired during category learning experiments are 'tuned' to the task goal. A useful paradigm to study category representations is indirect category learning. In the present article, we propose a new indirect categorization task called the "same"-"different" categorization task. The same-different categorization task is a regular same-different task, but the question asked to the participants is about the stimulus category membership instead of stimulus identity. Experiment 1 explores the possibility of indirectly learning rule-based and information-integration category structures using the new paradigm. The results suggest that there is little learning about the category structures resulting from an indirect categorization task unless the categories can be separated by a one-dimensional rule. Experiment 2 explores whether a category representation learned indirectly can be used in a direct classification task (and vice versa). The results suggest that previous categorical knowledge acquired during a direct classification task can be expressed in the same-different categorization task only when the categories can be separated by a rule that is easily verbalized. Implications of these results for categorization research are discussed.
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Categorical Structure among Shared Features in Networks of Early-Learned Nouns
Hills, Thomas T.; Maouene, Mounir; Maouene, Josita; Sheya, Adam; Smith, Linda
2009-01-01
The shared features that characterize the noun categories that young children learn first are a formative basis of the human category system. To investigate the potential categorical information contained in the features of early-learned nouns, we examine the graph-theoretic properties of noun-feature networks. The networks are built from the…
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Categorization of Mobile Advertising Campaigns
Pousttchi, Key; Wiedemann, Dietmar Georg
2006-01-01
The result of this contribution is a categorization and thus a description model for mobile advertising campaigns using the morphological method. For identification of the characteristics 32 case studies were analysed and relevant literature was sighted.
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TWO MEASURES OF THE DEPENDENCE OF PREFERENTIAL RANKINGS ON CATEGORICAL VARIABLES
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Lissowski Grzegorz
2017-06-01
Full Text Available The aim of this paper is to apply a general methodology for constructing statistical methods, which is based on decision theory, to give a statistical description of preferential rankings, with a focus on the rankings’ dependence on categorical variables. In the paper, I use functions of description errors that are based on the Kemeny and Hamming distances between preferential orderings, but the proposed methodology can also be applied to other methods of estimating description errors.
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Directory of Open Access Journals (Sweden)
Marian Anil A
2012-05-01
Full Text Available Abstract Background Anesthesia information management system (AIMS records should be designed and configured to facilitate the accurate and prompt recording of multiple drugs administered coincidentally or in rapid succession. Methods We proposed two touch-screen display formats for use with our department’s new EPIC touch-screen AIMS. In one format, medication “buttons” were arranged in alphabetical order (i.e. A-C, D-H etc.. In the other, buttons were arranged in categories (Common, Fluids, Cardiovascular, Coagulation etc.. Both formats were modeled on an iPad screen to resemble the AIMS interface. Anesthesia residents, anesthesiologists, and Certified Registered Nurse Anesthetists (n = 60 were then asked to find and touch the correct buttons for a series of medications whose names were displayed to the side of the entry screen. The number of entries made within 2 minutes was recorded. This was done 3 times for each format, with the 1st format chosen randomly. Data were analyzed from the third trials with each format to minimize differences in learning. Results The categorical format had a mean of 5.6 more drugs entered using the categorical method in two minutes than the alphabetical format (95% confidence interval [CI] 4.5 to 6.8, P Conclusions The use of touch-screen user interfaces in healthcare is increasingly common. Arrangement of drugs names in a categorical display format in the medication order-entry touch screen of an AIMS can result in faster data entry compared to an alphabetical arrangement of drugs. Results of this quality improvement project were used in our department’s design of our final intraoperative electronic anesthesia record. This testing approach using cognitive and usability engineering methods can be used to objectively design and evaluate many aspects of the clinician-computer interaction in electronic health records.
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A New Integrated Weighted Model in SNOW-V10: Verification of Categorical Variables
Huang, Laura X.; Isaac, George A.; Sheng, Grant
2014-01-01
This paper presents the verification results for nowcasts of seven categorical variables from an integrated weighted model (INTW) and the underlying numerical weather prediction (NWP) models. Nowcasting, or short range forecasting (0-6 h), over complex terrain with sufficient accuracy is highly desirable but a very challenging task. A weighting, evaluation, bias correction and integration system (WEBIS) for generating nowcasts by integrating NWP forecasts and high frequency observations was used during the Vancouver 2010 Olympic and Paralympic Winter Games as part of the Science of Nowcasting Olympic Weather for Vancouver 2010 (SNOW-V10) project. Forecast data from Canadian high-resolution deterministic NWP system with three nested grids (at 15-, 2.5- and 1-km horizontal grid-spacing) were selected as background gridded data for generating the integrated nowcasts. Seven forecast variables of temperature, relative humidity, wind speed, wind gust, visibility, ceiling and precipitation rate are treated as categorical variables for verifying the integrated weighted forecasts. By analyzing the verification of forecasts from INTW and the NWP models among 15 sites, the integrated weighted model was found to produce more accurate forecasts for the 7 selected forecast variables, regardless of location. This is based on the multi-categorical Heidke skill scores for the test period 12 February to 21 March 2010.
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Classification process in a text document recommender system
Directory of Open Access Journals (Sweden)
Dan MUNTEANU
2005-12-01
Full Text Available This paper presents the classification process in a recommender system used for textual documents taken especially from web. The system uses in the classification process a combination of content filters, event filters and collaborative filters and it uses implicit and explicit feedback for evaluating documents.
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Accuracy and speed of material categorization in real-world images
Sharan, Lavanya; Rosenholtz, Ruth; Adelson, Edward H.
2014-01-01
It is easy to visually distinguish a ceramic knife from one made of steel, a leather jacket from one made of denim, and a plush toy from one made of plastic. Most studies of material appearance have focused on the estimation of specific material properties such as albedo or surface gloss, and as a consequence, almost nothing is known about how we recognize material categories like leather or plastic. We have studied judgments of high-level material categories with a diverse set of real-world photographs, and we have shown (Sharan, 2009) that observers can categorize materials reliably and quickly. Performance on our tasks cannot be explained by simple differences in color, surface shape, or texture. Nor can the results be explained by observers merely performing shape-based object recognition. Rather, we argue that fast and accurate material categorization is a distinct, basic ability of the visual system. PMID:25122216
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Accuracy and speed of material categorization in real-world images.
Sharan, Lavanya; Rosenholtz, Ruth; Adelson, Edward H
2014-08-13
It is easy to visually distinguish a ceramic knife from one made of steel, a leather jacket from one made of denim, and a plush toy from one made of plastic. Most studies of material appearance have focused on the estimation of specific material properties such as albedo or surface gloss, and as a consequence, almost nothing is known about how we recognize material categories like leather or plastic. We have studied judgments of high-level material categories with a diverse set of real-world photographs, and we have shown (Sharan, 2009) that observers can categorize materials reliably and quickly. Performance on our tasks cannot be explained by simple differences in color, surface shape, or texture. Nor can the results be explained by observers merely performing shape-based object recognition. Rather, we argue that fast and accurate material categorization is a distinct, basic ability of the visual system. © 2014 ARVO.
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Directory of Open Access Journals (Sweden)
Marcio Renan Hamel
2011-11-01
Full Text Available This article analyzes the reconstruction of Kant’s categoric imperative by Habermas’ discourse ethics. Various scientific methodologies were combined including deductive, typological, analytical and hermeneutic-phenomenological approaches. The deductive approach begins from the general theory about the issue to seek conclusions about particular situations. The typology approach focuses on the study of an ideal type used to create a model in reality. The analytical approach focuses on conceptual analysis and strives for a rigorous use of concepts. In the hermeneutic-phenomenological approach the fundamental epistemological category is comprehension and the goal is an interpretation of the facts. The text first presents a formulation of the categorical imperative and its consequences for human action and derived formulas. It then presents the Habermasian proposal for a discourse ethics, the principle of universalization and the reduction of ethical action to monological action. Finally, it establishes a relation between the two theoretical-philosophical positions and the socio-juridical consequences of Habermasian ethics for a Theory of Society.
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Mougin, Fleur; Bodenreider, Olivier; Burgun, Anita
2015-01-01
Objectives Polysemy is a frequent issue in biomedical terminologies. In the Unified Medical Language System (UMLS), polysemous terms are either represented as several independent concepts, or clustered into a single, multiply-categorized concept. The objective of this study is to analyze polysemous concepts in the UMLS through their categorization and hierarchical relations for auditing purposes. Methods We used the association of a concept with multiple Semantic Groups (SGs) as a surrogate for polysemy. We first extracted multi-SG (MSG) concepts from the UMLS Metathesaurus and characterized them in terms of the combinations of SGs with which they are associated. We then clustered MSG concepts in order to identify major types of polysemy. We also analyzed the inheritance of SGs in MSG concepts. Finally, we manually reviewed the categorization of the MSG concepts for auditing purposes. Results The 1208 MSG concepts in the Metathesaurus are associated with 30 distinct pairs of SGs. We created 75 semantically homogeneous clusters of MSG concepts, and 276 MSG concepts could not be clustered for lack of hierarchical relations. The clusters were characterized by the most frequent pairs of semantic types of their constituent MSG concepts. MSG concepts exhibit limited semantic compatibility with their parent and child concepts. A large majority of MSG concepts (92%) are adequately categorized. Examples of miscategorized concepts are presented. Conclusion This work is a systematic analysis and manual review of all concepts categorized by multiple SGs in the UMLS. The correctly-categorized MSG concepts do reflect polysemy in the UMLS Metathesaurus. The analysis of inheritance of SGs proved useful for auditing concept categorization in the UMLS. PMID:19303057
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Cluster Based Text Classification Model
DEFF Research Database (Denmark)
Nizamani, Sarwat; Memon, Nasrullah; Wiil, Uffe Kock
2011-01-01
We propose a cluster based classification model for suspicious email detection and other text classification tasks. The text classification tasks comprise many training examples that require a complex classification model. Using clusters for classification makes the model simpler and increases...... the accuracy at the same time. The test example is classified using simpler and smaller model. The training examples in a particular cluster share the common vocabulary. At the time of clustering, we do not take into account the labels of the training examples. After the clusters have been created......, the classifier is trained on each cluster having reduced dimensionality and less number of examples. The experimental results show that the proposed model outperforms the existing classification models for the task of suspicious email detection and topic categorization on the Reuters-21578 and 20 Newsgroups...
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Yu, Tsung-Hsien; Tung, Yu-Chi; Chung, Kuo-Piao
2015-08-01
Volume-infection relation studies have been published for high-risk surgical procedures, although the conclusions remain controversial. Inconsistent results may be caused by inconsistent categorization methods, the definitions of service volume, and different statistical approaches. The purpose of this study was to examine whether a relation exists between provider volume and coronary artery bypass graft (CABG) surgical site infection (SSI) using different categorization methods. A population-based cross-sectional multi-level study was conducted. A total of 10,405 patients who received CABG surgery between 2006 and 2008 in Taiwan were recruited. The outcome of interest was surgical site infection for CABG surgery. The associations among several patient, surgeon, and hospital characteristics was examined. The definition of surgeons' and hospitals' service volume was the cumulative CABG service volumes in the previous year for each CABG operation and categorized by three types of approaches: Continuous, quartile, and k-means clustering. The results of multi-level mixed effects modeling showed that hospital volume had no association with SSI. Although the relation between surgeon volume and surgical site infection was negative, it was inconsistent among the different categorization methods. Categorization of service volume is an important issue in volume-infection study. The findings of the current study suggest that different categorization methods might influence the relation between volume and SSI. The selection of an optimal cutoff point should be taken into account for future research.
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Categorical perception of color: evidence from secondary category boundary
Directory of Open Access Journals (Sweden)
Al-rasheed AS
2015-11-01
Full Text Available Abdulrahman Saud Al-rasheed Department of Psychology, King Saud University, Riyadh, Kingdom of Saudi Arabia Abstract: Despite a plethora of behavioral research exploring the phenomenon of color categorical perception (CP known as "better discrimination between pair of colors stimuli from different categories and pair of colors stimuli from the same category even when the stimulus differences between the pairs of stimuli are equal", most of the evidence for the CP of color was derived from Roman or top-to-down script readers and very rarely from right-to-left script readers in primary category. To date, no studies of color CP have been conducted on right-to-left script readers in secondary category boundary to support this theory. Three experiments have been conducted: Experiments 1 and 2 established the Arabic blue–purple secondary category boundary, and Experiment 3 tested the CP of color in the blue–purple category boundary. Sixty participants (30 men and 30 women took part in this study. All spoke Arabic as their first language, and all were undergraduate or postgraduate students at King Saud University. Their ages ranged from 18–35 years with a mean age of 21.9 years (SD =5.2. The result indicated that for Experiments 1 and 2, it appeared that the Arabic blue–purple category boundary was approximately 10PB and it is in the same location as for English. For Experiment 3, reaction times in the between-categories condition were significantly faster than those in the within-category condition; this suggested that CP of color was shown in the Arabic's blue–purple secondary category boundary. Keywords: categorical perception, CP of color, categorization, blue–purple category boundary, secondary category boundary
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Boundary error analysis and categorization in the TRECVID news story segmentation task
Arlandis, J.; Over, P.; Kraaij, W.
2005-01-01
In this paper, an error analysis based on boundary error popularity (frequency) including semantic boundary categorization is applied in the context of the news story segmentation task from TRECVTD1. Clusters of systems were defined based on the input resources they used including video, audio and
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Cross-cultural differences in categorical memory errors.
Schwartz, Aliza J; Boduroglu, Aysecan; Gutchess, Angela H
2014-06-01
Cultural differences occur in the use of categories to aid accurate recall of information. This study investigated whether culture also contributed to false (erroneous) memories, and extended cross-cultural memory research to Turkish culture, which is shaped by Eastern and Western influences. Americans and Turks viewed word pairs, half of which were categorically related and half unrelated. Participants then attempted to recall the second word from the pair in response to the first word cue. Responses were coded as correct, as blanks, or as different types of errors. Americans committed more categorical errors than did Turks, and Turks mistakenly recalled more non-categorically related list words than did Americans. These results support the idea that Americans use categories either to organize information in memory or to support retrieval strategies to a greater extent than Turks and suggest that culture shapes not only accurate recall but also erroneous distortions of memory. © 2014 Cognitive Science Society, Inc.
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Risk-Informed SSCs Categorization: Elicitation Method of Expert's Opinion
International Nuclear Information System (INIS)
Hwang, Mee Jeong; Yang, Joon Eon; Kim, Kil Yoo
2005-01-01
The regulations have been performing by deterministic way since nuclear power plants have been operating. However, some SSCs identified as safety-significance by deterministic way, were turned out to be low or non safety-significant and some SSCs identified as non-safety significance were turned out to be high safety-significant according to the results of PSA. Considering these risk insights, Regulatory Guide 1.174 and 10CFR50.69 were drawn up, and we can re-categorize the SSCs according to their safety significance. Therefore, a study and an interest about the risk-informed SSCs re-categorization and treatment has been continued. The objective of this regulatory initiative is to adjust the scope of equipment subject to special regulatory treatment to better focus licensee and regulatory attention and resources on equipment that has safety significance. Current most regulations define the plant equipment necessary to meet deterministic regulatory basis as 'safety-related.' This equipment is subject to special treatment regulations. Other plant equipment is categorized as 'non-safety related,' and is not subject to a select number of special treatment requirement or a subset of those requirement. However, risk information is not a magic tool making a decision but a supporting tool to categorize SSCs. This is because only small parts of a plant are modeled in PSA model. Thus, engineering and deterministic judgments are also used for risk-informed SSCs categorization, and expert opinion elicitation is very important for risk-informed SSCs categorization. Therefore, we need a rational method to elicit the expert's opinions, and in this study, we developed a systematic method for expert elicitation to categorize the nuclear power plants' SSCs. Current states for SSCs categorization of the USA and the existing methods for expert elicitation were surveyed and more systematic way eliciting the expert opinions and combining was developed. To validate the developed method
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Design and realization of the J-TEXT tokamak central control system
International Nuclear Information System (INIS)
Yang Zhoujun; Zhuang Ge; Hu Xiwei; Zhang Ming; Qiu Shengshun; Wang Zhijiang; Ding Yonghua; Pan Yuan
2009-01-01
The Joint Texas Experimental Tokamak (J-TEXT), a medium-sized conventional tokamak, serves as a user experimental facility in the China-USA fusion research community. Development of a flexible and easy-to-use J-TEXT central control system (CCS) is of supreme importance for users to coordinate the experimental scenarios with full integration into the discharge operation. This paper describes in detail the structure and functions of the J-TEXT CCS system as well as the performance in practical implementation. Results obtained from both commissioning and routine operations show that the J-TEXT CCS system can offer a satisfactory and effective control that is reliable and stable. The J-TEXT tokamak achieved high-quality performance in its first-ever experimental campaign with this CCS system.
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Text-mining-assisted biocuration workflows in Argo
Rak, Rafal; Batista-Navarro, Riza Theresa; Rowley, Andrew; Carter, Jacob; Ananiadou, Sophia
2014-01-01
Biocuration activities have been broadly categorized into the selection of relevant documents, the annotation of biological concepts of interest and identification of interactions between the concepts. Text mining has been shown to have a potential to significantly reduce the effort of biocurators in all the three activities, and various semi-automatic methodologies have been integrated into curation pipelines to support them. We investigate the suitability of Argo, a workbench for building text-mining solutions with the use of a rich graphical user interface, for the process of biocuration. Central to Argo are customizable workflows that users compose by arranging available elementary analytics to form task-specific processing units. A built-in manual annotation editor is the single most used biocuration tool of the workbench, as it allows users to create annotations directly in text, as well as modify or delete annotations created by automatic processing components. Apart from syntactic and semantic analytics, the ever-growing library of components includes several data readers and consumers that support well-established as well as emerging data interchange formats such as XMI, RDF and BioC, which facilitate the interoperability of Argo with other platforms or resources. To validate the suitability of Argo for curation activities, we participated in the BioCreative IV challenge whose purpose was to evaluate Web-based systems addressing user-defined biocuration tasks. Argo proved to have the edge over other systems in terms of flexibility of defining biocuration tasks. As expected, the versatility of the workbench inevitably lengthened the time the curators spent on learning the system before taking on the task, which may have affected the usability of Argo. The participation in the challenge gave us an opportunity to gather valuable feedback and identify areas of improvement, some of which have already been introduced. Database URL: http://argo.nactem.ac.uk PMID
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Effects of prior knowledge on decisions made under perceptual vs. categorical uncertainty
Directory of Open Access Journals (Sweden)
Kathleen eHansen
2012-11-01
Full Text Available Humans use prior knowledge to bias decisions made under uncertainty. In this fMRI study we predicted that different brain dynamics play a role when prior knowledge is added to decisions made under perceptual vs. categorical uncertainty. Subjects decided whether shapes belonged to Category S – smoother – or Category B – bumpier – under both uncertainty conditions, with or without prior knowledge cues. When present, the prior knowledge cue, 80/20 or 50/50, indicated that 80% and 20% (or 50% and 50% were the chances that responding "S" and "B" (or vice versa would be correct. During perceptual uncertainty, shapes were degraded with noise. During categorical uncertainty, shapes were ambiguous. Adding the 80/20 cue increased activation during perceptual uncertainty in bilateral lateral occipital cortex and left middle frontal gyrus (MidFG, and decreased activity in bilateral lateral occipital cortex during categorical uncertainty. Right MidFG and other frontoparietal regions were active in all conditions. The results demonstrate that left MidFG shows activation changes, suggestive of an influence on visual cortex, that depend on the factor that makes the decisions difficult. When sensory evidence is difficult to perceive, prior knowledge increases visual cortical activity. When the sensory evidence is easy to perceive but difficult to interpret, prior knowledge decreases visual cortical activity.
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La larga sombra de las categorías acusatorio-inquisitivo
Directory of Open Access Journals (Sweden)
Máximo Langer
2015-03-01
Full Text Available Este trabajo argumenta que las categorías acusatorio e inquisitivo han sido más centrales para el derecho procesal penal comparado que lo que se ha reconocido previamente ya que han contribuido a constituirlo y a moldearlo como campo transnacional al reflejar y restringir sus principales tendencias teóricas y sus mayores temas de interés. Se identifican las principales tradiciones teóricas de este campo mediante un relevamiento de los usos que la doctrina y la jurisprudencia le han dado a la distinción entre acusatorio e inquisitivo, y se argumenta que incluso los principales análisis alternativos existentes operan dentro de estas mismas tradiciones teóricas. Además, se aduce que la dicotomía acusatorio-inquisitivo también ha contribuido a limitar el tipo de temas tratados por este campo. Finalmente, se esbozan diversas maneras mediante las cuales el derecho procesal penal comparado puede superar la larga sombra teórica y temática de las categorías acusatorio-inquisitivo y así expandir y enriquecer nuestro conocimiento y análisis, tanto positivos como normativos, sobre el proceso penal.
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Objectives and Strategies in the Layperson's Categorization of Behavior.
Hoffman, Curt; Mischel, Walter
The effects of observational purpose are thought to impact on such diverse processes as categorization, behavior perception, trait ascription, and memory. The role of observational purpose in the categorization of behavior was explored to determine whether differences between trait and goal concepts affect certain information-processing…
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Directory of Open Access Journals (Sweden)
Laurie eBayet
2015-03-01
Full Text Available Angry faces are perceived as more masculine by adults. However, the developmental course and underlying mechanism (bottom-up stimulus driven or top-down belief driven associated with the angry-male bias remain unclear. Here we report that anger biases face gender categorization towards male responding in children as young as 5-6 years. The bias is observed for both own- and other-race faces, and is remarkably unchanged across development (into adulthood as revealed by signal detection analyses (Experiments 1-2. The developmental course of the angry-male bias, along with its extension to other-race faces, combine to suggest that it is not rooted in extensive experience, e.g. observing males engaging in aggressive acts during the school years. Based on several computational simulations of gender categorization (Experiment 3, we further conclude that (1 the angry-male bias results, at least partially, from a strategy of attending to facial features or their second-order relations when categorizing face gender, and (2 any single choice of computational representation (e.g., Principal Component Analysis is insufficient to assess resemblances between face categories, as different representations of the very same faces suggest different bases for the angry-male bias. Our findings are thus consistent with stimulus-and stereotyped-belief driven accounts of the angry-male bias. Taken together, the evidence suggests considerable stability in the interaction between some facial dimensions in social categorization that is present prior to the onset of formal schooling.
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CATEGORICAL TOOL OF INNOVATIVE LABOR PROVIDING IN MODERN CONDITIONS
Directory of Open Access Journals (Sweden)
Anna Chernoivanova
2017-03-01
Full Text Available The article aims to study theoretical foundations of providing innovative work in modern conditions based on systematizing categorical tools. As a result of the study we found out the innovative work features and singled it out among other related to it categories such as “creative work”, “intellectual work”, “labor management”; summarized theoretical propositions about the nature of innovation work and clarified its definition. Classification of innovative work was grounded. The features of the innovative work were defined. Innovative work was singled out among other related to it types of work. Keywords: innovative work, the types of innovative work, creative work.
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Sistema de información sobre categorías farmacológicas
Directory of Open Access Journals (Sweden)
Daisy Pérez-Velasco Rodríguez
2001-08-01
Full Text Available Se presenta un sistema de información sobre categorías farmacológicas, el cual brinda la definición de las acciones farmacológicas y la clasificación anatómica--terapéutica-química (ATC u ordenamiento farmacoterapéutico-químico que la identifica, aspecto este recomendado por la OMS. Este sistema, cuya información está disponible en español e inglés, permite la impresión de listados de categorías en ambos idiomas con sus correspondientes códigos. Dicho sistema que funciona como diccionario farmacológico, constituye una importante herramienta de consulta ya que define científicamente cada una de las acciones con que cuenta y constituye un material de apoyo para todo aquel que de una forma u otra se relacione con la temática médico-farmacéutica, donde se puede obtener una información actualizada la cual resulta beneficiosa social y económicamente. El sistema se elaboró mediante el lenguaje de programación Borland Delphi Versión 3.0, el cual presenta un entorno agradable e interactivo para el usuario final del sistema.This paper presents an information system on pharmacological categories that provides the definition of the pharmacological actions and the anatomic-therapeutic-chemical classification or pharmaco-therapeutic-chemical arrangement that identifies a pharmacological category; it is recommended by WHO. This system with information available in Spanish and English facilitates the printing of the category listings in both languages with their respective codes. It operates in a way similar to a pharmacological dictionary, is an important consulting tool since it scientifically defines each of the actions that it avails of, and is also a back-up material for everyone who in one way or another is linked to the medical-pharmaceutical field because socially and economically advantageous updated information can be obtained from it. This system was prepared with Borland Delphi 3.0 programming language, which presents a
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Directory of Open Access Journals (Sweden)
Dressel Katharina
2010-11-01
Full Text Available Abstract Background Recently it was suggested that the carry effect observed in addition involves both categorical and continuous processing characteristics. Methods In the present study, we aimed at identifying the specific neural correlates associated with processing either categorical or continuous aspects of the carry effect in an fMRI study on multi-digit addition. Results In line with our expectations, we observed two distinct parts of the fronto-parietal network subserving numerical cognition to be associated with either one of these two characteristics. On the one hand, the categorical aspect of the carry effect was associated with left-hemispheric language areas and the basal ganglia probably reflecting increased demands on procedural and problem solving processes. Complementarily, the continuous aspect of the carry effect was associated with increased intraparietal activation indicating increasing demands on magnitude processing as well as place-value integration with increasing unit sum. Conclusions In summary, the findings suggest representations and processes underlying the carry effect in multi-digit addition to be more complex and interactive than assumed previously.
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Working Memory Capacity and Categorization: Individual Differences and Modeling
Lewandowsky, Stephan
2011-01-01
Working memory is crucial for many higher-level cognitive functions, ranging from mental arithmetic to reasoning and problem solving. Likewise, the ability to learn and categorize novel concepts forms an indispensable part of human cognition. However, very little is known about the relationship between working memory and categorization, and…
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On colour categorization of nature
Yendrikhovskij, S.N.
1998-01-01
The following research elaborates on some of the 'semantic' and 'algorithmic' aspects of the categorization process for thc colour domain. The structure of colour categories is argued to resemble the structure of Ihe distribution of colours in the perceived world. This distribution can be
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A Chinese text classification system based on Naive Bayes algorithm
Directory of Open Access Journals (Sweden)
Cui Wei
2016-01-01
Full Text Available In this paper, aiming at the characteristics of Chinese text classification, using the ICTCLAS(Chinese lexical analysis system of Chinese academy of sciences for document segmentation, and for data cleaning and filtering the Stop words, using the information gain and document frequency feature selection algorithm to document feature selection. Based on this, based on the Naive Bayesian algorithm implemented text classifier , and use Chinese corpus of Fudan University has carried on the experiment and analysis on the system.
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Taxonomic and ad hoc categorization within the two cerebral hemispheres.
Shen, Yeshayahu; Aharoni, Bat-El; Mashal, Nira
2015-01-01
A typicality effect refers to categorization which is performed more quickly or more accurately for typical than for atypical members of a given category. Previous studies reported a typicality effect for category members presented in the left visual field/right hemisphere (RH), suggesting that the RH applies a similarity-based categorization strategy. However, findings regarding the typicality effect within the left hemisphere (LH) are less conclusive. The current study tested the pattern of typicality effects within each hemisphere for both taxonomic and ad hoc categories, using words presented to the left or right visual fields. Experiment 1 tested typical and atypical members of taxonomic categories as well as non-members, and Experiment 2 tested typical and atypical members of ad hoc categories as well as non-members. The results revealed a typicality effect in both hemispheres and in both types of categories. Furthermore, the RH categorized atypical stimuli more accurately than did the LH. Our findings suggest that both hemispheres rely on a similarity-based categorization strategy, but the coarse semantic coding of the RH seems to facilitate the categorization of atypical members.
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Directory of Open Access Journals (Sweden)
Yoshi-Taka eMatsuda
2013-09-01
Full Text Available Our understanding of facial emotion perception has been dominated by two seemingly opposing theories: the categorical and dimensional theories. However, we have recently demonstrated that hybrid processing involving both categorical and dimensional perception can be induced in an implicit manner (Fujimura et al., 2012. The underlying neural mechanisms of this hybrid processing remain unknown. In this study, we tested the hypothesis that separate neural loci might intrinsically encode categorical and dimensional processing functions that serve as a basis for hybrid processing. We used functional magnetic resonance imaging (fMRI to measure neural correlates while subjects passively viewed emotional faces and performed tasks that were unrelated to facial emotion processing. Activity in the right fusiform face area (FFA increased in response to psychologically obvious emotions and decreased in response to ambiguous expressions, demonstrating the role of the FFA in categorical processing. The amygdala, insula and medial prefrontal cortex exhibited evidence of dimensional (linear processing that correlated with physical changes in the emotional face stimuli. The occipital face area and superior temporal sulcus did not respond to these changes in the presented stimuli. Our results indicated that distinct neural loci process the physical and psychological aspects of facial emotion perception in a region-specific and implicit manner.
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Clase-categoría: una operacionalización del concepto marxista de clase social
Directory of Open Access Journals (Sweden)
Javier Parra
2006-01-01
Full Text Available Este artículo sintetiza parte de la discusión dada al interior de las ciencias sociales en cuanto al estudio de las clases o estratos sociales. Así mismo, retoma la definición de clase-categoría como una forma de hacer operativo el concepto marxista de clase social, en tanto que herramienta para el abordaje del estudio de la división de la sociedad en clases. En ese sentido, se descompone la categoría de clase social en cuatro indicadores, a saber: a Propiedad/posesión de los medios de trabajo, b Función de capital o función de trabajo, c Tipo de trabajo (manual o intelectual, y d control/no control del proceso productivo.
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Vibration mitigation in J-TEXT far-infrared diagnostic systems
International Nuclear Information System (INIS)
Li, Q.; Chen, J.; Zhuang, G.; Wang, Z. J.; Gao, L.; Chen, W.
2012-01-01
Optical structure stability is an important issue for far-infrared (FIR) phase measurements. To ensure good signal quality, influence of vibration should be minimized. Mechanical amelioration and optical optimization can be taken in turn to decrease vibration's influence and ensure acceptable measurement. J-TEXT (Joint Texal Experiment Tokamak, formerly TEXT-U) has two FIR diagnostic systems: a HCN interferometer system for electron density measurement and a three-wave polarimeter-interferometer system (POLARIS) for electron density and Faraday effect measurements. All use phase detection techniques. HCN interferometer system has almost eliminated the influence of vibration after mechanical amelioration and optical optimization. POLARIS also obtained first experimental results after mechanical stability improvements and is expected to further reduce vibration's influence on Faraday angle to 0.1° after optical optimization.
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Mining free-text medical records for companion animal enteric syndrome surveillance.
Anholt, R M; Berezowski, J; Jamal, I; Ribble, C; Stephen, C
2014-03-01
Large amounts of animal health care data are present in veterinary electronic medical records (EMR) and they present an opportunity for companion animal disease surveillance. Veterinary patient records are largely in free-text without clinical coding or fixed vocabulary. Text-mining, a computer and information technology application, is needed to identify cases of interest and to add structure to the otherwise unstructured data. In this study EMR's were extracted from veterinary management programs of 12 participating veterinary practices and stored in a data warehouse. Using commercially available text-mining software (WordStat™), we developed a categorization dictionary that could be used to automatically classify and extract enteric syndrome cases from the warehoused electronic medical records. The diagnostic accuracy of the text-miner for retrieving cases of enteric syndrome was measured against human reviewers who independently categorized a random sample of 2500 cases as enteric syndrome positive or negative. Compared to the reviewers, the text-miner retrieved cases with enteric signs with a sensitivity of 87.6% (95%CI, 80.4-92.9%) and a specificity of 99.3% (95%CI, 98.9-99.6%). Automatic and accurate detection of enteric syndrome cases provides an opportunity for community surveillance of enteric pathogens in companion animals. Copyright © 2014 Elsevier B.V. All rights reserved.
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42 CFR 405.753 - Appeal of a categorization of a device.
2010-10-01
... 42 Public Health 2 2010-10-01 2010-10-01 false Appeal of a categorization of a device. 405.753... Under Medicare Part A § 405.753 Appeal of a categorization of a device. (a) CMS's acceptance of the FDA categorization of a device as an experimental/investigational (Category A) device under § 405.203 is a national...
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42 CFR 405.877 - Appeal of a categorization of a device.
2010-10-01
... 42 Public Health 2 2010-10-01 2010-10-01 false Appeal of a categorization of a device. 405.877... Part B Program § 405.877 Appeal of a categorization of a device. (a) CMS's acceptance of the FDA categorization of a device as an experimental/investigational (Category A) device under § 405.203 is a national...
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Categorical Representation of Facial Expressions in the Infant Brain
Leppanen, Jukka M.; Richmond, Jenny; Vogel-Farley, Vanessa K.; Moulson, Margaret C.; Nelson, Charles A.
2009-01-01
Categorical perception, demonstrated as reduced discrimination of within-category relative to between-category differences in stimuli, has been found in a variety of perceptual domains in adults. To examine the development of categorical perception in the domain of facial expression processing, we used behavioral and event-related potential (ERP)…
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Global Infrasound Association Based on Probabilistic Clutter Categorization
Arora, Nimar; Mialle, Pierrick
2016-04-01
The IDC advances its methods and continuously improves its automatic system for the infrasound technology. The IDC focuses on enhancing the automatic system for the identification of valid signals and the optimization of the network detection threshold by identifying ways to refine signal characterization methodology and association criteria. An objective of this study is to reduce the number of associated infrasound arrivals that are rejected from the automatic bulletins when generating the reviewed event bulletins. Indeed, a considerable number of signal detections are due to local clutter sources such as microbaroms, waterfalls, dams, gas flares, surf (ocean breaking waves) etc. These sources are either too diffuse or too local to form events. Worse still, the repetitive nature of this clutter leads to a large number of false event hypotheses due to the random matching of clutter at multiple stations. Previous studies, for example [1], have worked on categorization of clutter using long term trends on detection azimuth, frequency, and amplitude at each station. In this work we continue the same line of reasoning to build a probabilistic model of clutter that is used as part of NETVISA [2], a Bayesian approach to network processing. The resulting model is a fusion of seismic, hydroacoustic and infrasound processing built on a unified probabilistic framework. References: [1] Infrasound categorization Towards a statistics based approach. J. Vergoz, P. Gaillard, A. Le Pichon, N. Brachet, and L. Ceranna. ITW 2011 [2] NETVISA: Network Processing Vertically Integrated Seismic Analysis. N. S. Arora, S. Russell, and E. Sudderth. BSSA 2013
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Maner, Jon K; Miller, Saul L; Moss, Justin H; Leo, Jennifer L; Plant, E Ashby
2012-07-01
This article presents an evolutionary framework for identifying the characteristics people use to categorize members of their social world. Findings suggest that fundamental social motives lead people to implicitly categorize social targets based on whether those targets display goal-relevant phenotypic traits. A mate-search prime caused participants to categorize opposite-sex targets (but not same-sex targets) based on their level of physical attractiveness (Experiment 1). A mate-guarding prime interacted with relationship investment, causing participants to categorize same-sex targets (but not opposite-sex targets) based on their physical attractiveness (Experiment 2). A self-protection prime interacted with chronic beliefs about danger, increasing participants' tendency to categorize targets based on their racial group membership (Black or White; Experiment 3). This work demonstrates that people categorize others based on whether they display goal-relevant characteristics reflecting high levels of perceived desirability or threat. Social categorization is guided by fundamental evolved motives designed to enhance adaptive social outcomes. PsycINFO Database Record (c) 2012 APA, all rights reserved
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Decoding task-based attentional modulation during face categorization.
Chiu, Yu-Chin; Esterman, Michael; Han, Yuefeng; Rosen, Heather; Yantis, Steven
2011-05-01
Attention is a neurocognitive mechanism that selects task-relevant sensory or mnemonic information to achieve current behavioral goals. Attentional modulation of cortical activity has been observed when attention is directed to specific locations, features, or objects. However, little is known about how high-level categorization task set modulates perceptual representations. In the current study, observers categorized faces by gender (male vs. female) or race (Asian vs. White). Each face was perceptually ambiguous in both dimensions, such that categorization of one dimension demanded selective attention to task-relevant information within the face. We used multivoxel pattern classification to show that task-specific modulations evoke reliably distinct spatial patterns of activity within three face-selective cortical regions (right fusiform face area and bilateral occipital face areas). This result suggests that patterns of activity in these regions reflect not only stimulus-specific (i.e., faces vs. houses) responses but also task-specific (i.e., race vs. gender) attentional modulation. Furthermore, exploratory whole-brain multivoxel pattern classification (using a searchlight procedure) revealed a network of dorsal fronto-parietal regions (left middle frontal gyrus and left inferior and superior parietal lobule) that also exhibit distinct patterns for the two task sets, suggesting that these regions may represent abstract goals during high-level categorization tasks.
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Categorization of aortic aneurysm thrombus morphology by magnetic resonance imaging
DEFF Research Database (Denmark)
de la Motte, Louise; Pedersen, Mads Møller; Thomsen, Carsten
2013-01-01
Magnetic resonance imaging (MRI) has been proposed for qualitative categorization of intraluminal thrombus morphology. We aimed to correlate the qualitative MRI categorization previously described to quantitative measurements of signal intensity and to compare morphological characteristics...
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Fast and Effective Approximations for Summarization and Categorization of Very Large Text Corpora
Godbehere, Andrew B.
2015-01-01
Given the overwhelming quantities of data generated every day, there is a pressing need for tools that can extract valuable and timely information. Vast reams of text data are now published daily, containing information of interest to those in social science, marketing, finance, and public policy, to name a few. Consider the case of the micro-blogging website Twitter, which in May 2013 was estimated to contain 58 million messages per day: in a single day, Twitter generates a greater volume of...
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Statistical methods for categorical data analysis
Powers, Daniel
2008-01-01
This book provides a comprehensive introduction to methods and models for categorical data analysis and their applications in social science research. Companion website also available, at https://webspace.utexas.edu/dpowers/www/
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Energy Technology Data Exchange (ETDEWEB)
Faruqi, Salman [Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, ON (Canada); Giuliani, Meredith E., E-mail: meredith.giuliani@rmp.uhn.on.ca [Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, ON (Canada); Raziee, Hamid; Yap, Mei Ling [Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, ON (Canada); Roberts, Heidi [Department of Radiology, University Health Network, Toronto, Ontario (Canada); Le, Lisa W. [Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, Ontario (Canada); Brade, Anthony; Cho, John; Sun, Alexander; Bezjak, Andrea; Hope, Andrew J. [Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, ON (Canada)
2014-08-01
Purpose: Radiographic changes after lung stereotactic body radiation therapy (SBRT) have been categorized into 4 groups: modified conventional pattern (A), mass-like fibrosis; (B), scar-like fibrosis (C), and no evidence of increased density (D). The purpose of this study was to assess the interrater reliability of this categorization system in patients with early-stage non-small cell lung cancer (NSCLC). Methods and Materials: Seventy-seven patients were included in this study, all treated with SBRT for early-stage (T1/2) NSCLC at a single institution, with a minimum follow-up of 6 months. Six experienced clinicians familiar with post-SBRT radiographic changes scored the serial posttreatment CT images independently in a blinded fashion. The proportion of patients categorized as A, B, C, or D at each interval was determined. Krippendorff's alpha (KA), Multirater kappa (M-kappa), and Gwet's AC1 (AC1) scores were used to establish interrater reliability. A leave-one-out analysis was performed to demonstrate the variability among raters. Interrater agreement of the first and last 20 patients scored was calculated to explore whether a training effect existed. Results: The number of ratings ranged from 450 at 6 months to 84 at 48 months of follow-up. The proportion of patients in each category was as follows: A, 45%; B, 16%; C, 13%; and D, 26%. KA and M-kappa ranged from 0.17 to 0.34. AC1 measure range was 0.22 to 0.48. KA increased from 0.24 to 0.36 at 12 months with training. The percent agreement for pattern A peaked at 12 month with a 54% chance of having >50% raters in agreement and decreased over time, whereas that for patterns B and C increased over time to a maximum of 20% and 22%, respectively. Conclusion: This post-SBRT radiographic change categorization system has modest interrater agreement, and there is a suggestion of a training effect. Patterns of fibrosis evolve after SBRT and alternative categorization systems should be evaluated.
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Gender and Prior Science Achievement Affect Categorization on a Procedural Learning Task
Hong, Jon-Chao; Lu, Chow-Chin; Wang, Jen-Lian; Liao, Shin; Wu, Ming-Ray; Hwang, Ming-Yueh; Lin, Pei-Hsin
2013-01-01
Categorization is one of the main mental processes by which perception and conception develop. Nevertheless, categorization receives little attention with the development of critical thinking in Taiwan elementary schools. Thus, the present study investigates the effect that individual differences have on performing categorization tasks.…
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Supervised versus unsupervised categorization: two sides of the same coin?
Pothos, Emmanuel M; Edwards, Darren J; Perlman, Amotz
2011-09-01
Supervised and unsupervised categorization have been studied in separate research traditions. A handful of studies have attempted to explore a possible convergence between the two. The present research builds on these studies, by comparing the unsupervised categorization results of Pothos et al. ( 2011 ; Pothos et al., 2008 ) with the results from two procedures of supervised categorization. In two experiments, we tested 375 participants with nine different stimulus sets and examined the relation between ease of learning of a classification, memory for a classification, and spontaneous preference for a classification. After taking into account the role of the number of category labels (clusters) in supervised learning, we found the three variables to be closely associated with each other. Our results provide encouragement for researchers seeking unified theoretical explanations for supervised and unsupervised categorization, but raise a range of challenging theoretical questions.
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Categorical Cell Decomposition of Quantized Symplectic Algebraic Varieties
Bellamy, Gwyn; Dodd, Christopher; McGerty, Kevin; Nevins, Thomas
2013-01-01
We prove a new symplectic analogue of Kashiwara’s equivalence from D–module\\ud theory. As a consequence, we establish a structure theory for module categories over\\ud deformation-quantizations that mirrors, at a higher categorical level, the BiałynickiBirula\\ud stratification of a variety with an action of the multiplicative group Gm . The\\ud resulting categorical cell decomposition provides an algebrogeometric parallel to the\\ud structure of Fukaya categories of Weinstein manifolds. From it,...
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Same-Different Categorization in Rats
Wasserman, Edward A.; Castro, Leyre; Freeman, John H.
2012-01-01
Same-different categorization is a fundamental feat of human cognition. Although birds and nonhuman primates readily learn same-different discriminations and successfully transfer them to novel stimuli, no such demonstration exists for rats. Using a spatial discrimination learning task, we show that rats can both learn to discriminate arrays of…
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Graumann, Ole; Osther, Susanne Sloth; Karstoft, Jens; Hørlyck, Arne; Osther, Palle Jörn Sloth
2016-11-01
Background The Bosniak classification was originally based on computed tomographic (CT) findings. Magnetic resonance (MR) and contrast-enhanced ultrasonography (CEUS) imaging may demonstrate findings that are not depicted at CT, and there may not always be a clear correlation between the findings at MR and CEUS imaging and those at CT. Purpose To compare diagnostic accuracy of MR, CEUS, and CT when categorizing complex renal cystic masses according to the Bosniak classification. Material and Methods From February 2011 to June 2012, 46 complex renal cysts were prospectively evaluated by three readers. Each mass was categorized according to the Bosniak classification and CT was chosen as gold standard. Kappa was calculated for diagnostic accuracy and data was compared with pathological results. Results CT images found 27 BII, six BIIF, seven BIII, and six BIV. Forty-three cysts could be characterized by CEUS, 79% were in agreement with CT (κ = 0.86). Five BII lesions were upgraded to BIIF and four lesions were categorized lower with CEUS. Forty-one lesions were examined with MR; 78% were in agreement with CT (κ = 0.91). Three BII lesions were upgraded to BIIF and six lesions were categorized one category lower. Pathologic correlation in six lesions revealed four malignant and two benign lesions. Conclusion CEUS and MR both up- and downgraded renal cysts compared to CT, and until these non-radiation modalities have been refined and adjusted, CT should remain the gold standard of the Bosniak classification.
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The roles of categorical and coordinate spatial relations in recognizing buildings.
Palermo, Liana; Piccardi, Laura; Nori, Raffaella; Giusberti, Fiorella; Guariglia, Cecilia
2012-11-01
Categorical spatial information is considered more useful for recognizing objects, and coordinate spatial information for guiding actions--for example, during navigation or grasping. In contrast with this assumption, we hypothesized that buildings, unlike other categories of objects, require both categorical and coordinate spatial information in order to be recognized. This hypothesis arose from evidence that right-brain-damaged patients have deficits in both coordinate judgments and recognition of buildings and from the fact that buildings are very useful for guiding navigation in urban environments. To test this hypothesis, we assessed 210 healthy college students while they performed four different tasks that required categorical and coordinate judgments and the recognition of common objects and buildings. Our results showed that both categorical and coordinate spatial representations are necessary to recognize a building, whereas only categorical representations are necessary to recognize an object. We discuss our data in view of a recent neural framework for visuospatial processing, suggesting that recognizing buildings may specifically activate the parieto-medial-temporal pathway.
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An open stylometric system based on multilevel text analysis
Directory of Open Access Journals (Sweden)
Maciej Eder
2017-12-01
Full Text Available An open stylometric system based on multilevel text analysis Stylometric techniques are usually applied to a limited number of typical tasks, such as authorship attribution, genre analysis, or gender studies. However, they could be applied to several tasks beyond this canonical set, if only stylometric tools were more accessible to users from different areas of the humanities and social sciences. This paper presents a general idea, followed by a fully functional prototype of an open stylometric system that facilitates its wide use through to two aspects: technical and research flexibility. The system relies on a server installation combined with a web-based user interface. This frees the user from the necessity of installing any additional software. At the same time, the system offers a variety of ways in which the input texts can be analysed: they include not only the usual lexical level, but also deep-level linguistic features. This enables a range of possible applications, from typical stylometric tasks to the semantic analysis of text documents. The internal architecture of the system relies on several well-known software packages: a collection of language tools (for text pre-processing, Stylo (for stylometric analysis and Cluto (for text clustering. The paper presents: (1 The idea behind the system from the user’s perspective. (2 The architecture of the system, with a focus on data processing. (3 Features for text description. (4 The use of analytical systems such as Stylo and Cluto. The presentation is illustrated with example applications. Otwarty system stylometryczny wykorzystujący wielopoziomową analizę języka Zastosowania metod stylometrycznych na ogół ograniczają się do kilku typowych problemów badawczych, takich jak atrybucja autorska, styl gatunków literackich czy studia nad zróżnicowaniem stylistycznym kobiet i mężczyzn. Z pewnością dałoby się je z powodzeniem zastosować również do wielu innych problem
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A Fast Recommender System for Cold User Using Categorized Items
Directory of Open Access Journals (Sweden)
Hamid Jazayeriy
2018-01-01
Full Text Available In recent years, recommender systems (RS provide a considerable progress to users. RSs reduce the cost of a user’s time in order to reach to desired results faster. The main issue of RSs is the presence of cold users which are less active and their preferences are more difficult to detect. The aim of this study is to provide a new way to improve recall and precision in recommender systems for cold users. According to the available categories of items, prioritization of the proposed items is improved and then presented to the cold user. The obtained results show that in addition to increased speed of processing, recall and precision have an acceptable improvement.
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Kong, Siu Cheung; Li, Ping; Song, Yanjie
2018-01-01
This study evaluated a bilingual text-mining system, which incorporated a bilingual taxonomy of key words and provided hierarchical visualization, for understanding learner-generated text in the learning management systems through automatic identification and counting of matching key words. A class of 27 in-service teachers studied a course…
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40 CFR 171.3 - Categorization of commercial applicators of pesticides.
2010-07-01
... 40 Protection of Environment 23 2010-07-01 2010-07-01 false Categorization of commercial applicators of pesticides. 171.3 Section 171.3 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) PESTICIDE PROGRAMS CERTIFICATION OF PESTICIDE APPLICATORS § 171.3 Categorization of commercial...
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From the categorical imperative to the moral law
Vahl, Marianne
2008-01-01
This thesis is a critical survey of Christine Korsgaard’s arguments regarding the rational basis for moral obligations. I focus on her arguments taking us from the categorical imperative to the Moral Law. She makes a distinction that Kant does not; claiming that the categorical imperative is not the Moral Law. In order to equate rational agency with moral agency Korsgaard therefore needs some additional arguments. These arguments, I argue, are not convincing. My claim is that they do not succ...
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What do Natural Categorization Studies tell us about the Concepts of Apes and Bears?
Directory of Open Access Journals (Sweden)
Jennifer Vonk
2014-08-01
Full Text Available To properly test hypotheses about the emergence of cognitive capacities in humans and other animals, it is important to test species that differ in morphology and ecology. One of the most notable aspects of animal ecology that has been championed as a factor in the evolution of cognitive skills is social complexity. However, to determine the significance of social lifestyle on an organism‟s cognitive abilities, it is important to test both social and less social species in similar tasks. We have conducted a series of natural categorization studies with three great ape species and recently extended this program of research to include American black bears (Ursus Americanus. Here we analyze the bears‟ choices of stimuli from our previously published categorization experiments and compare the pattern of their choices to that of apes tested previously. Like the apes, the individual bears show idiosyncratic choices that do not clearly differentiate between conceptual and perceptual strategies in performing categorization tasks. Despite their relatively asocial lifestyles, bears thus far appear to display cognitive abilities commiserate with those of the great apes. We suggest that researchers broaden their approach to study more diverse species in analogous tasks and make a concerted effort to view experimental tasks from the animals‟ perspectives.
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Color Term Knowledge Does Not Affect Categorical Perception of Color in Toddlers
Franklin, A.; Clifford, A.; Williamson, E.; Davies, I.
2005-01-01
Categorical perception of color is shown when colors from the same category are discriminated less easily than equivalently spaced colors that cross a category boundary. The current experiments tested various models of categorical perception. Experiment 1 tested for categorical responding in 2- to 4-year-olds, the age range for the onset…
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A Text-Based Chat System Embodied with an Expressive Agent
Directory of Open Access Journals (Sweden)
Lamia Alam
2017-01-01
Full Text Available Life-like characters are playing vital role in social computing by making human-computer interaction more easy and spontaneous. Nowadays, use of these characters to interact in online virtual environment has gained immense popularity. In this paper, we proposed a framework for a text-based chat system embodied with a life-like virtual agent that aims at natural communication between the users. To achieve this kind of system, we developed an agent that performs some nonverbal communications such as generating facial expression and motions by analyzing the text messages of the users. More specifically, this agent is capable of generating facial expressions for six basic emotions such as happy, sad, fear, angry, surprise, and disgust along with two additional emotions, irony and determined. Then to make the interaction between the users more realistic and lively, we added motions such as eye blink and head movements. We measured our proposed system from different aspects and found the results satisfactory, which make us believe that this kind of system can play a significant role in making an interaction episode more natural, effective, and interesting. Experimental evaluation reveals that the proposed agent can display emotive expressions correctly 93% of the time by analyzing the users’ text input.
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Consideration of In-Growth of Radionuclides for Facility Hazard Categorization
International Nuclear Information System (INIS)
Mr. Robert E. Miller
2007-01-01
This paper addresses issues associated with the effects of daughter product in-growth on the hazard categorization of facilities in accordance with DOE-STD-1027-92, 'Hazard Categorization and Accident Analysis Techniques for Compliance with DOE Order 5480.23, Nuclear Safety Analysis Reports'. There is a list of issues that occur when performing facility hazard categorizations at DOE facilities. The first issue is when radionuclides are concentrated outside of their natural decay schemes, and the resulting daughter products exceed the hazard category three threshold quantity values (HC3 TQVs) while their parents do not. The second issue is if a parent nuclide is evaluated for the inhalation pathway, and the daughter product is evaluated using a different pathway and methodology. The third issue is when the parent and daughter are evaluated using the same pathway for exposure, but the daughter is significantly more radiotoxic than the parent. Lastly, when the TQVs were derived for hazard categorization, the methodology used involved a 24 hour exposure period during which, for the sake of simplicity, no consideration was given to decay and the subsequent in-growth of daughter products. Facility hazard categorization is a snapshot in time and does not provide an accurate inventory for long term operations and/or storage
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Categorization difficulty modulates the mediated route for response selection in task switching.
Schneider, Darryl W
2017-12-22
Conflict during response selection in task switching is indicated by the response congruency effect: worse performance for incongruent targets (requiring different responses across tasks) than for congruent targets (requiring the same response). The effect can be explained by dual-task processing in a mediated route for response selection, whereby targets are categorized with respect to both tasks. In the present study, the author tested predictions for the modulation of response congruency effects by categorization difficulty derived from a relative-speed-of-processing hypothesis. Categorization difficulty was manipulated for the relevant and irrelevant task dimensions in a novel spatial task-switching paradigm that involved judging the locations of target dots in a grid, without repetition of dot configurations. Response congruency effects were observed and they varied systematically with categorization difficulty (e.g., being larger when irrelevant categorization was easy than when it was hard). These results are consistent with the relative-speed-of-processing hypothesis and suggest that task-switching models that implement variations of the mediated route for response selection need to address the time course of categorization.
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CCM: A Text Classification Method by Clustering
DEFF Research Database (Denmark)
Nizamani, Sarwat; Memon, Nasrullah; Wiil, Uffe Kock
2011-01-01
In this paper, a new Cluster based Classification Model (CCM) for suspicious email detection and other text classification tasks, is presented. Comparative experiments of the proposed model against traditional classification models and the boosting algorithm are also discussed. Experimental results...... show that the CCM outperforms traditional classification models as well as the boosting algorithm for the task of suspicious email detection on terrorism domain email dataset and topic categorization on the Reuters-21578 and 20 Newsgroups datasets. The overall finding is that applying a cluster based...
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Differential beta-band event-related desynchronization during categorical action sequence planning.
Directory of Open Access Journals (Sweden)
Hame Park
Full Text Available A primate study reported the existence of neurons from the dorso-lateral prefrontal cortex which fired prior to executing categorical action sequences. The authors suggested these activities may represent abstract level information. Here, we aimed to find the neurophysiological representation of planning categorical action sequences at the population level in healthy humans. Previous human studies have shown beta-band event-related desynchronization (ERD during action planning in humans. Some of these studies showed different levels of ERD according to different types of action preparation. Especially, the literature suggests that variations in cognitive factors rather than physical factors (force, direction, etc modulate the level of beta-ERD. We hypothesized that the level of beta-band power will differ according to planning of different categorical sequences. We measured magnetoencephalography (MEG from 22 subjects performing 11 four-sequence actions--each consisting of one or two of three simple actions--in 3 categories; 'Paired (ooxx', 'Alternative (oxox' and 'Repetitive (oooo' ('o' and 'x' each denoting one of three simple actions. Time-frequency representations were calculated for each category during the planning period, and the corresponding beta-power time-courses were compared. We found beta-ERD during the planning period for all subjects, mostly in the contralateral fronto-parietal areas shortly after visual cue onset. Power increase (transient rebound followed ERD in 20 out of 22 subjects. Amplitudes differed among categories in 20 subjects for both ERD and transient rebound. In 18 out of 20 subjects 'Repetitive' category showed the largest ERD and rebound. The current result suggests that beta-ERD in the contralateral frontal/motor/parietal areas during planning is differentiated by the category of action sequences.
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Dorsal hippocampus is necessary for visual categorization in rats.
Kim, Jangjin; Castro, Leyre; Wasserman, Edward A; Freeman, John H
2018-02-23
The hippocampus may play a role in categorization because of the need to differentiate stimulus categories (pattern separation) and to recognize category membership of stimuli from partial information (pattern completion). We hypothesized that the hippocampus would be more crucial for categorization of low-density (few relevant features) stimuli-due to the higher demand on pattern separation and pattern completion-than for categorization of high-density (many relevant features) stimuli. Using a touchscreen apparatus, rats were trained to categorize multiple abstract stimuli into two different categories. Each stimulus was a pentagonal configuration of five visual features; some of the visual features were relevant for defining the category whereas others were irrelevant. Two groups of rats were trained with either a high (dense, n = 8) or low (sparse, n = 8) number of category-relevant features. Upon reaching criterion discrimination (≥75% correct, on 2 consecutive days), bilateral cannulas were implanted in the dorsal hippocampus. The rats were then given either vehicle or muscimol infusions into the hippocampus just prior to various testing sessions. They were tested with: the previously trained stimuli (trained), novel stimuli involving new irrelevant features (novel), stimuli involving relocated features (relocation), and a single relevant feature (singleton). In training, the dense group reached criterion faster than the sparse group, indicating that the sparse task was more difficult than the dense task. In testing, accuracy of both groups was equally high for trained and novel stimuli. However, both groups showed impaired accuracy in the relocation and singleton conditions, with a greater deficit in the sparse group. The testing data indicate that rats encode both the relevant features and the spatial locations of the features. Hippocampal inactivation impaired visual categorization regardless of the density of the category-relevant features for
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Categorizing "frequent visitors" in the psychiatric emergency room: a semistructured interview study
DEFF Research Database (Denmark)
Buus, Niels
2011-01-01
Nurses can become demoralized and hostile toward frequent visitors in psychiatric emergency rooms because of the number of visits. The aim of this study was to develop more knowledge about the ways in which nurses categorize frequent visitors. Eleven nurses were interviewed, and their categorizing...... practices were examined from a social constructionist perspective. The results showed that the nurses did not categorize frequent visitors as particularly unlikeable or difficult to treat. Like other visitors, they could be categorized as difficult if they obstructed a smooth flow of successful referrals...... through the emergency room and/or there was poor rapport with the nurses....
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Bootstrapping Visual Categorization with Relevant Negatives
Li, X.; Snoek, C.G.M.; Worring, M.; Koelma, D.; Smeulders, A.W.M.
Learning classifiers for many visual concepts are important for image categorization and retrieval. As a classifier tends to misclassify negative examples which are visually similar to positive ones, inclusion of such misclassified and thus relevant negatives should be stressed during learning.
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Frecuencia de producción de las respuestas a 52 categorías verbales en niños de primaria
Directory of Open Access Journals (Sweden)
Edurne Goikoetxea
2000-01-01
Full Text Available Se presentan datos normativos de las respuestas a 52 categorías verbales de 484 niños de los cursos 1º a 6º de primaria (rango de edad = 6 a 13 años. Todas las categorías, excepto tres, se tomaron de los estudios de Soto et al. (1982/1994 y de Battig y Montague (1969. Los niños respondieron a cada categoría en 60 seg (1º y 2º curso o en 30 seg (3º a 6º curso. Se proporciona la frecuencia de producción de cada respuesta y el número de veces que cada respuesta apareció en primer lugar en cada categoría y curso, además del rango medio de cada respuesta en la muestra total. Se examina el número medio de respuestas, el número de ejemplares diferentes, el índice de respuestas comunes y el índice de diversidad, en cada categoría y curso. Los resultados se comparan con los de otras normas de niños y adultos. Estos datos son una herramienta para la investigación que emplea estímulos verbales, la docencia y el desarrollo de tests educativos y psicológicos.
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Directory of Open Access Journals (Sweden)
Vdovichenko K.G.
2014-12-01
Full Text Available Minimum rates of applying article 149 of the RF Criminal Code, caused by crime categorization errors and technical and legal defects of article’s structure are stated. The elements of crime under this article include violating the constitutional right to freedom of meetings as a result of preventing mass actions. The commission of unlawful act by an official should be categorized as a crime according to article 149 when using prevention means stipulated in objective side of this act. Improper use of official position for illegal prevention and use of violence to people form a cumulative crime (articles 149 and 286 of the RF Criminal Code. Signs of violence and threats to use violence, specified by corpus delicti, draw a question on the amount of damage to health which does not demand additional categorization. Damage limits implies beating and slight damage to health. More serious damage forms a cumulative crime. Any threats to use violence are included in the elements of crime under study. Thus, illegal prevention of conducting public mass action can be categorized as a cumulative crime. Gross violation of public order which expresses contempt against public (committed by using means, specified in Art. 213 of the FR Criminal Code and simultaneously prevents conducting a rally, meeting, demonstration, march, picketing or participating in them (ideal cumulative crime complicates the categorization. If such prevention is accompanied with gross violation of public order, the act should be categorized as a cumulative crime according to articles 149 and 213.
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Impact of a short intervention on novices’ categorization criteria
Jennifer L. Docktor; José P. Mestre; Brian H. Ross
2012-01-01
Research on physics problem categorization has established that proficient problem solvers are able to group together physics problems that would be solved by similar principles and use conceptual approaches when solving problems, whereas weak solvers rely more heavily upon surface features (objects, contexts, and quantities provided) to identify specific equations that match to the problem situation. This study explores the degree to which novices are able to shift their categorization strat...
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Categorical information for assessments of land use change. Opportunities and challenges
DEFF Research Database (Denmark)
Levin, Gregor
2014-01-01
Access to detailed categorical information on land use and land cover (LULC) has increased significantly during recent years. In Denmark, free access to most categorical information (i.e. pre-classified spatially explicit information) gives opportunities for assessments and analyses of LULC-changes...... not elaborated with the aim to assess LULC-changes with definitions and registration methods changing over time and to categorical data not being spatially synchronized and consequently spatially overlapping (Ahlqvist and Shortridge, 2010; Levin et al., 2012). Presenting an assessment of annual LULC changes...... for Denmark from 1990-2013, which is part of Denmark’s emission inventory according to article 3(4) of the Kyoto protocol, this paper aims at elucidating opportunities, limitations and possible solutions for the application of categorical information. Changes between the LULC- types: settlement...
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PoliticAPP: Towards a Categorization of Mobile Apps in Political Communication
Directory of Open Access Journals (Sweden)
Pablo VÁZQUEZ SANDE
2016-06-01
Full Text Available This article is an analyze of all mobile apps that are available in the field of Spanish political communication, with the aim to develop a pioneering categorization of these platforms according to various criteria as promoters, aims pursued or areas of performance. It includes also a critical review from which it is concluded that these app reproduce classic communication patterns with the voters. That means that the implementation of these channels seems to have been due more to political marketing than to boost democratic participation or to introduce an horizontal outline of a new relationship between politicians and citizens.
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TEXT poloidal coil systems power supplies
International Nuclear Information System (INIS)
Hutchins, S.H.; Brower, D.F.
1977-01-01
TEXT is a convertional iron core tokamak which will have a toroidal field of 3.0 Tesla produced by room temperature copper coils and a maximum plasma current pulse of 400 kA induced by a 40 turn Ohmic Heating coil. The major radius is 100 cm and the minor radius of the plasma is 28 cm. The machine is intended for basic research in tokamak plasma physics and atomic physics and is designed primarily to provide a stable hot plasma, extremely good diagnostic access, and reliable operation. The discharge pulse length will be 300 msec and the repetition period 120 seconds. Power for the toroidal field coils and for the ohmic heating supply is provided by a 100 MVA energy storage alternator. The vertical field, horizontal field, fast positioning, and discharge cleaning power supply systems are powered from the Tokamak Laboratory power mains. The ohmic heating power system consists of an SCR controlled premagnetizing supply and commutation circuit, the main ohmic heating capacitor bank to provide plasma breakdown and current rise, and an SCR controlled power supply which sustains plasma current during the 300 ms pulse. The vertical field power system uses a small capacitor bank and an SCR controlled supply. The horizontal field has a reversible SCR controlled supply, and the fast positioning coils are powered by bipolar output transistor controlled supplies. This paper describes the loads, required wave forms, and the specifications for these power supply systems
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CATREG SOFTWARE FOR CATEGORICAL REGRESSION ANALYSIS
CatReg is a computer program, written in the R (r-project.org">http://cran.r-project.org) programming language, to support the conduct of exposure-response analyses by toxicologists and health scientists. CatReg can be used to perform categorical regressi...
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46 CFR 504.4 - Categorical exclusions.
2010-10-01
... FEDERAL MARITIME COMMISSION GENERAL AND ADMINISTRATIVE PROVISIONS PROCEDURES FOR ENVIRONMENTAL POLICY ANALYSIS § 504.4 Categorical exclusions. (a) No environmental analyses need be undertaken or environmental... foreign country. (19) Action taken on special docket applications pursuant to § 502.271 of this chapter...
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LINGUISTIC DATABASE FOR AUTOMATIC GENERATION SYSTEM OF ENGLISH ADVERTISING TEXTS
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N. A. Metlitskaya
2017-01-01
Full Text Available The article deals with the linguistic database for the system of automatic generation of English advertising texts on cosmetics and perfumery. The database for such a system includes two main blocks: automatic dictionary (that contains semantic and morphological information for each word, and semantic-syntactical formulas of the texts in a special formal language SEMSINT. The database is built on the result of the analysis of 30 English advertising texts on cosmetics and perfumery. First, each word was given a unique code. For example, N stands for nouns, A – for adjectives, V – for verbs, etc. Then all the lexicon of the analyzed texts was distributed into different semantic categories. According to this semantic classification each word was given a special semantic code. For example, the record N01 that is attributed to the word «lip» in the dictionary means that this word refers to nouns of the semantic category «part of a human’s body».The second block of the database includes the semantic-syntactical formulas of the analyzed advertising texts written in a special formal language SEMSINT. The author gives a brief description of this language, presenting its essence and structure. Also, an example of one formalized advertising text in SEMSINT is provided.
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Developing resources for sentiment analysis of informal Arabic text in social media
Itani, Maher; Roast, Chris; Al-Khayatt, Samir
2017-01-01
Natural Language Processing (NLP) applications such as text categorization, machine translation, sentiment analysis, etc., need annotated corpora and lexicons to check quality and performance. This paper describes the development of resources for sentiment analysis specifically for Arabic text in social media. A distinctive feature of the corpora and lexicons developed are that they are determined from informal Arabic that does not conform to grammatical or spelling standards. We refer to Ara...
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Metacognitive deficits in categorization tasks in a population with impaired inner speech.
Langland-Hassan, Peter; Gauker, Christopher; Richardson, Michael J; Dietz, Aimee; Faries, Frank R
2017-11-01
This study examines the relation of language use to a person's ability to perform categorization tasks and to assess their own abilities in those categorization tasks. A silent rhyming task was used to confirm that a group of people with post-stroke aphasia (PWA) had corresponding covert language production (or "inner speech") impairments. The performance of the PWA was then compared to that of age- and education-matched healthy controls on three kinds of categorization tasks and on metacognitive self-assessments of their performance on those tasks. The PWA showed no deficits in their ability to categorize objects for any of the three trial types (visual, thematic, and categorial). However, on the categorial trials, their metacognitive assessments of whether they had categorized correctly were less reliable than those of the control group. The categorial trials were distinguished from the others by the fact that the categorization could not be based on some immediately perceptible feature or on the objects' being found together in a type of scenario or setting. This result offers preliminary evidence for a link between covert language use and a specific form of metacognition. Copyright © 2017 Elsevier B.V. All rights reserved.
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Aspects of Text Mining From Computational Semiotics to Systemic Functional Hypertexts
Directory of Open Access Journals (Sweden)
Alexander Mehler
2001-05-01
Full Text Available The significance of natural language texts as the prime information structure for the management and dissemination of knowledge in organisations is still increasing. Making relevant documents available depending on varying tasks in different contexts is of primary importance for any efficient task completion. Implementing this demand requires the content based processing of texts, which enables to reconstruct or, if necessary, to explore the relationship of task, context and document. Text mining is a technology that is suitable for solving problems of this kind. In the following, semiotic aspects of text mining are investigated. Based on the primary object of text mining - natural language lexis - the specific complexity of this class of signs is outlined and requirements for the implementation of text mining procedures are derived. This is done with reference to text linkage introduced as a special task in text mining. Text linkage refers to the exploration of implicit, content based relations of texts (and their annotation as typed links in corpora possibly organised as hypertexts. In this context, the term systemic functional hypertext is introduced, which distinguishes genre and register layers for the management of links in a poly-level hypertext system.
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[Clinical application of "categorization by analogy" in acupuncture for pain syndromes].
Chen, Xiaojun
2018-03-12
The"categorization by analogy"is one of the most primitive thinking methods for ancient people to explore the world, which has exerted far-reaching impact on the origin and development of TCM. With examples of Sanjian (LI 3) for neck pain, Chize (LU 5) for low back pain and Chengshan (BL 57) for dysmenorrhea, the clinical application of"categorization by analogy"in acupuncture for pain syndromes was discussed, hoping more acupuncturists will pay attention to the guiding role of"categorization by analogy"in acupuncture clinical treatment.
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Implicit Self-Importance in an Interpersonal Pronoun Categorization Task.
Fetterman, Adam K; Robinson, Michael D; Gilbertson, Elizabeth P
2014-06-01
Object relations theories emphasize the manner in which the salience/importance of implicit representations of self and other guide interpersonal functioning. Two studies and a pilot test (total N = 304) sought to model such representations. In dyadic contexts, the self is a "you" and the other is a "me", as verified in a pilot test. Study 1 then used a simple categorization task and found evidence for implicit self-importance: The pronoun "you" was categorized more quickly and accurately when presented in a larger font size, whereas the pronoun "me" was categorized more quickly and accurately when presented in a smaller font size. Study 2 showed that this pattern possesses value in understanding individual differences in interpersonal functioning. As predicted, arrogant people scored higher in implicit self-importance in the paradigm. Findings are discussed from the perspective of dyadic interpersonal dynamics.
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Normas asociativas intracategoriales para 612 palabras de seis categorías semánticas en español
Directory of Open Access Journals (Sweden)
Pío Tudela
2003-01-01
Full Text Available Se obtuvieron datos de fuerza asociativa intracategorial y de familiaridad subjetiva para 612 palabras pertenecientes a seis categorías diferentes. Estas palabras fueron evaluadas por un grupo diferente de personas para cada una de las medidas. Se realizó un análisis de los siguientes índices por categorías: número de asociados, fuerza asociativa del primer y segundo asociados, índice resultante de la sustracción de los dos primeros asociados, porcentaje de respuestas idiosincrásicas, porcentaje de respuestas en blanco o no válidas e índice de la familiaridad subjetiva. Los resultados apuntan a una mayor consistencia interna (menor número de asociados, mayor fuerza asociativa de éstos y menor porcentaje de respuestas idiosincrásicas de dos de las seis categorías (Partes del Cuerpo Humano y Animales y a una menor consistencia interna de la categoría Ropa, Calzado y Complementos. Estas normas asociativas son de interés para investigadores dedicados al estudio de la memoria semántica así como de las diferencias hemisféricas en la ejecución de tareas relacionadas con estímulos verbales.
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Categorization of common sounds by cochlear implanted and normal hearing adults.
Collett, E; Marx, M; Gaillard, P; Roby, B; Fraysse, B; Deguine, O; Barone, P
2016-05-01
Auditory categorization involves grouping of acoustic events along one or more shared perceptual dimensions which can relate to both semantic and physical attributes. This process involves both high level cognitive processes (categorization) and low-level perceptual encoding of the acoustic signal, both of which are affected by the use of a cochlear implant (CI) device. The goal of this study was twofold: I) compare the categorization strategies of CI users and normal hearing listeners (NHL) II) investigate if any characteristics of the raw acoustic signal could explain the results. 16 experienced CI users and 20 NHL were tested using a Free-Sorting Task of 16 common sounds divided into 3 predefined categories of environmental, musical and vocal sounds. Multiple Correspondence Analysis (MCA) and Hierarchical Clustering based on Principal Components (HCPC) show that CI users followed a similar categorization strategy to that of NHL and were able to discriminate between the three different types of sounds. However results for CI users were more varied and showed less inter-participant agreement. Acoustic analysis also highlighted the average pitch salience and average autocorrelation peak as being important for the perception and categorization of the sounds. The results therefore show that on a broad level of categorization CI users may not have as many difficulties as previously thought in discriminating certain kinds of sound; however the perception of individual sounds remains challenging. Copyright © 2016 Elsevier B.V. All rights reserved.
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Directory of Open Access Journals (Sweden)
Selimbegović Ivan
2011-01-01
Full Text Available This paper will confront two possible conceptions of Imamanuel Kant’s practical philosophy based on two different possible understandings of categorical imperative. The first conception sees the categorical imperative as prescribing a form for the maxime under which a subject is to act if his actions are to be taken as moral. This conception is shown to be conservative as it preserves the existing moral norms of a society. This way of functioning of categorical imperative is shown to be homologuous to the logic of desiare as described by the french psychoanalyst Jacques Lacan and as incapable of providing a basis for ascribing responsibility to a subject for his acts. Another conception will be offered as an alternative: on that conception the categorical imeprative prescribes a manner of willing any maxime which is shown to be analoguous to the logic of the death drive. It’s ethical and revolutionary character are elucidated towards the end of the paper.
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Space-by-time manifold representation of dynamic facial expressions for emotion categorization
Delis, Ioannis; Chen, Chaona; Jack, Rachael E.; Garrod, Oliver G. B.; Panzeri, Stefano; Schyns, Philippe G.
2016-01-01
Visual categorization is the brain computation that reduces high-dimensional information in the visual environment into a smaller set of meaningful categories. An important problem in visual neuroscience is to identify the visual information that the brain must represent and then use to categorize visual inputs. Here we introduce a new mathematical formalism—termed space-by-time manifold decomposition—that describes this information as a low-dimensional manifold separable in space and time. We use this decomposition to characterize the representations used by observers to categorize the six classic facial expressions of emotion (happy, surprise, fear, disgust, anger, and sad). By means of a Generative Face Grammar, we presented random dynamic facial movements on each experimental trial and used subjective human perception to identify the facial movements that correlate with each emotion category. When the random movements projected onto the categorization manifold region corresponding to one of the emotion categories, observers categorized the stimulus accordingly; otherwise they selected “other.” Using this information, we determined both the Action Unit and temporal components whose linear combinations lead to reliable categorization of each emotion. In a validation experiment, we confirmed the psychological validity of the resulting space-by-time manifold representation. Finally, we demonstrated the importance of temporal sequencing for accurate emotion categorization and identified the temporal dynamics of Action Unit components that cause typical confusions between specific emotions (e.g., fear and surprise) as well as those resolving these confusions. PMID:27305521
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Evaluation of emergency medical text processor, a system for cleaning chief complaint text data.
Travers, Debbie A; Haas, Stephanie W
2004-11-01
Emergency Medical Text Processor (EMT-P) version 1, a natural language processing system that cleans emergency department text (e.g., chst pn, chest pai), was developed to maximize extraction of standard terms (e.g., chest pain). The authors compared the number of standard terms extracted from raw chief complaint (CC) data with that for CC data cleaned with EMT-P and evaluated the accuracy of EMT-P. This cross-sectional observation study included CC text entries for all emergency department visits to three tertiary care centers in 2001. Terms were extracted from CC entries before and after cleaning with EMT-P. Descriptive statistics included number and percentage of all entries (tokens) and all unique entries (types) that matched a standard term from the Unified Medical Language System (UMLS). An expert panel rated the accuracy of the CC-UMLS term matches; inter-rater reliability was measured with kappa. The authors collected 203,509 CC entry tokens, of which 63,946 were unique entry types. For the raw data, 89,337 tokens (44%) and 5,081 types (8%) matched a standard term. After EMT-P cleaning, 168,050 tokens (83%) and 44,430 types (69%) matched a standard term. The expert panel reached consensus on 201 of the 222 CC-UMLS term matches reviewed (kappa=0.69-0.72). Ninety-six percent of the 201 matches were rated equivalent or related. Thirty-eight percent of the nonmatches were found to match UMLS concepts. EMT-P version 1 is relatively accurate, and cleaning with EMT-P improved the CC-UMLS term match rate over raw data. The authors identified areas for improvement in future EMT-P versions and issues to be resolved in developing a standard CC terminology.
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Categorization skills and recall in brain damaged children: a multiple case study.
Mello, Claudia Berlim de; Muszkat, Mauro; Xavier, Gilberto Fernando; Bueno, Orlando Francisco Amodeo
2009-09-01
During development, children become capable of categorically associating stimuli and of using these relationships for memory recall. Brain damage in childhood can interfere with this development. This study investigated categorical association of stimuli and recall in four children with brain damages. The etiology, topography and timing of the lesions were diverse. Tasks included naming and immediate recall of 30 perceptually and semantically related figures, free sorting, delayed recall, and cued recall of the same material. Traditional neuropsychological tests were also employed. Two children with brain damage sustained in middle childhood relied on perceptual rather than on categorical associations in making associations between figures and showed deficits in delayed or cued recall, in contrast to those with perinatal lesions. One child exhibited normal performance in recall despite categorical association deficits. The present results suggest that brain damaged children show deficits in categorization and recall that are not usually identified in traditional neuropsychological tests.
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340 Waste handling Facility Hazard Categorization and Safety Analysis
International Nuclear Information System (INIS)
Rodovsky, T.J.
2010-01-01
The analysis presented in this document provides the basis for categorizing the facility as less than Hazard Category 3. The final hazard categorization for the deactivated 340 Waste Handling Facility (340 Facility) is presented in this document. This hazard categorization was prepared in accordance with DOE-STD-1 027-92, Change Notice 1, Hazard Categorization and Accident Analysis Techniques for Compliance with Doe Order 5480.23, Nuclear Safety Analysis Reports. The analysis presented in this document provides the basis for categorizing the facility as less than Hazard Category (HC) 3. Routine nuclear waste receiving, storage, handling, and shipping operations at the 340 Facility have been deactivated, however, the facility contains a small amount of radioactive liquid and/or dry saltcake in two underground vault tanks. A seismic event and hydrogen deflagration were selected as bounding accidents. The generation of hydrogen in the vault tanks without active ventilation was determined to achieve a steady state volume of 0.33%, which is significantly less than the lower flammability limit of 4%. Therefore, a hydrogen deflagration is not possible in these tanks. The unmitigated release from a seismic event was used to categorize the facility consistent with the process defined in Nuclear Safety Technical Position (NSTP) 2002-2. The final sum-of-fractions calculation concluded that the facility is less than HC 3. The analysis did not identify any required engineered controls or design features. The Administrative Controls that were derived from the analysis are: (1) radiological inventory control, (2) facility change control, and (3) Safety Management Programs (SMPs). The facility configuration and radiological inventory shall be controlled to ensure that the assumptions in the analysis remain valid. The facility commitment to SMPs protects the integrity of the facility and environment by ensuring training, emergency response, and radiation protection. The full scale
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Directory of Open Access Journals (Sweden)
Simone Sulpizio
Full Text Available Empirical research had initially shown that English listeners are able to identify the speakers' sexual orientation based on voice cues alone. However, the accuracy of this voice-based categorization, as well as its generalizability to other languages (language-dependency and to non-native speakers (language-specificity, has been questioned recently. Consequently, we address these open issues in 5 experiments: First, we tested whether Italian and German listeners are able to correctly identify sexual orientation of same-language male speakers. Then, participants of both nationalities listened to voice samples and rated the sexual orientation of both Italian and German male speakers. We found that listeners were unable to identify the speakers' sexual orientation correctly. However, speakers were consistently categorized as either heterosexual or gay on the basis of how they sounded. Moreover, a similar pattern of results emerged when listeners judged the sexual orientation of speakers of their own and of the foreign language. Overall, this research suggests that voice-based categorization of sexual orientation reflects the listeners' expectations of how gay voices sound rather than being an accurate detector of the speakers' actual sexual identity. Results are discussed with regard to accuracy, acoustic features of voices, language dependency and language specificity.
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Generalizing a categorization of students’ interpretations of linear kinematics graphs
Directory of Open Access Journals (Sweden)
Laurens Bollen
2016-02-01
Full Text Available We have investigated whether and how a categorization of responses to questions on linear distance-time graphs, based on a study of Irish students enrolled in an algebra-based course, could be adopted and adapted to responses from students enrolled in calculus-based physics courses at universities in Flanders, Belgium (KU Leuven and the Basque Country, Spain (University of the Basque Country. We discuss how we adapted the categorization to accommodate a much more diverse student cohort and explain how the prior knowledge of students may account for many differences in the prevalence of approaches and success rates. Although calculus-based physics students make fewer mistakes than algebra-based physics students, they encounter similar difficulties that are often related to incorrectly dividing two coordinates. We verified that a qualitative understanding of kinematics is an important but not sufficient condition for students to determine a correct value for the speed. When comparing responses to questions on linear distance-time graphs with responses to isomorphic questions on linear water level versus time graphs, we observed that the context of a question influences the approach students use. Neither qualitative understanding nor an ability to find the slope of a context-free graph proved to be a reliable predictor for the approach students use when they determine the instantaneous speed.
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Local Alignments for Fine-Grained Categorization
Gavves, E.; Fernando, B.; Snoek, C.G.M.; Smeulders, A.W.M.; Tuytelaars, T.
2015-01-01
The aim of this paper is fine-grained categorization without human interaction. Different from prior work, which relies on detectors for specific object parts, we propose to localize distinctive details by roughly aligning the objects using just the overall shape. Then, one may proceed to the
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Effects of age on cognitive control during semantic categorization.
Mudar, Raksha A; Chiang, Hsueh-Sheng; Maguire, Mandy J; Spence, Jeffrey S; Eroh, Justin; Kraut, Michael A; Hart, John
2015-01-01
We used event-related potentials (ERPs) to study age effects of perceptual (basic-level) vs. perceptual-semantic (superordinate-level) categorization on cognitive control using the go/nogo paradigm. Twenty-two younger (11 M; 21 ± 2.2 years) and 22 older adults (9 M; 63 ± 5.8 years) completed two visual go/nogo tasks. In the single-car task (SiC) (basic), go/nogo responses were made based on single exemplars of a car (go) and a dog (nogo). In the object animal task (ObA) (superordinate), responses were based on multiple exemplars of objects (go) and animals (nogo). Each task consisted of 200 trials: 160 (80%) 'go' trials that required a response through button pressing and 40 (20%) 'nogo' trials that required inhibition/withholding of a response. ERP data revealed significantly reduced nogo-N2 and nogo-P3 amplitudes in older compared to younger adults, whereas go-N2 and go-P3 amplitudes were comparable in both groups during both categorization tasks. Although the effects of categorization levels on behavioral data and P3 measures were similar in both groups with longer response times, lower accuracy scores, longer P3 latencies, and lower P3 amplitudes in ObA compared to SiC, N2 latency revealed age group differences moderated by the task. Older adults had longer N2 latency for ObA compared to SiC, in contrast, younger adults showed no N2 latency difference between SiC and ObA. Overall, these findings suggest that age differentially affects neural processing related to cognitive control during semantic categorization. Furthermore, in older adults, unlike in younger adults, levels of categorization modulate neural processing related to cognitive control even at the early stages (N2). Published by Elsevier B.V.
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Risk-Informed SSCs Categorization: Elicitation Method of Expert's Opinion
Energy Technology Data Exchange (ETDEWEB)
Hwang, Mee Jeong; Yang, Joon Eon; Kim, Kil Yoo
2005-01-15
The regulations have been performing by deterministic way since nuclear power plants have been operating. However, some SSCs identified as safety-significance by deterministic way, were turned out to be low or non safety-significant and some SSCs identified as non-safety significance were turned out to be high safety-significant according to the results of PSA. Considering these risk insights, Regulatory Guide 1.174 and 10CFR50.69 were drawn up, and we can re-categorize the SSCs according to their safety significance. Therefore, a study and an interest about the risk-informed SSCs re-categorization and treatment has been continued. The objective of this regulatory initiative is to adjust the scope of equipment subject to special regulatory treatment to better focus licensee and regulatory attention and resources on equipment that has safety significance. Current most regulations define the plant equipment necessary to meet deterministic regulatory basis as 'safety-related.' This equipment is subject to special treatment regulations. Other plant equipment is categorized as 'non-safety related,' and is not subject to a select number of special treatment requirement or a subset of those requirement. However, risk information is not a magic tool making a decision but a supporting tool to categorize SSCs. This is because only small parts of a plant are modeled in PSA model. Thus, engineering and deterministic judgments are also used for risk-informed SSCs categorization, and expert opinion elicitation is very important for risk-informed SSCs categorization. Therefore, we need a rational method to elicit the expert's opinions, and in this study, we developed a systematic method for expert elicitation to categorize the nuclear power plants' SSCs. Current states for SSCs categorization of the USA and the existing methods for expert elicitation were surveyed and more systematic way eliciting the expert opinions and combining was developed. To
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BILINGUAL MULTIMODAL SYSTEM FOR TEXT-TO-AUDIOVISUAL SPEECH AND SIGN LANGUAGE SYNTHESIS
Directory of Open Access Journals (Sweden)
A. A. Karpov
2014-09-01
Full Text Available We present a conceptual model, architecture and software of a multimodal system for audio-visual speech and sign language synthesis by the input text. The main components of the developed multimodal synthesis system (signing avatar are: automatic text processor for input text analysis; simulation 3D model of human's head; computer text-to-speech synthesizer; a system for audio-visual speech synthesis; simulation 3D model of human’s hands and upper body; multimodal user interface integrating all the components for generation of audio, visual and signed speech. The proposed system performs automatic translation of input textual information into speech (audio information and gestures (video information, information fusion and its output in the form of multimedia information. A user can input any grammatically correct text in Russian or Czech languages to the system; it is analyzed by the text processor to detect sentences, words and characters. Then this textual information is converted into symbols of the sign language notation. We apply international «Hamburg Notation System» - HamNoSys, which describes the main differential features of each manual sign: hand shape, hand orientation, place and type of movement. On their basis the 3D signing avatar displays the elements of the sign language. The virtual 3D model of human’s head and upper body has been created using VRML virtual reality modeling language, and it is controlled by the software based on OpenGL graphical library. The developed multimodal synthesis system is a universal one since it is oriented for both regular users and disabled people (in particular, for the hard-of-hearing and visually impaired, and it serves for multimedia output (by audio and visual modalities of input textual information.
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A novel artificial bee colony based clustering algorithm for categorical data.
Ji, Jinchao; Pang, Wei; Zheng, Yanlin; Wang, Zhe; Ma, Zhiqiang
2015-01-01
Data with categorical attributes are ubiquitous in the real world. However, existing partitional clustering algorithms for categorical data are prone to fall into local optima. To address this issue, in this paper we propose a novel clustering algorithm, ABC-K-Modes (Artificial Bee Colony clustering based on K-Modes), based on the traditional k-modes clustering algorithm and the artificial bee colony approach. In our approach, we first introduce a one-step k-modes procedure, and then integrate this procedure with the artificial bee colony approach to deal with categorical data. In the search process performed by scout bees, we adopt the multi-source search inspired by the idea of batch processing to accelerate the convergence of ABC-K-Modes. The performance of ABC-K-Modes is evaluated by a series of experiments in comparison with that of the other popular algorithms for categorical data.
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Directory of Open Access Journals (Sweden)
María Cecilia Ferraudi Curto
2014-05-01
Full Text Available La oposición entre las categorías de villa y barrio ha sido central en los análisis académicos sobre el hábitat popular en Argentina. La urbanización de una villa en el Gran Buenos Aires constituye una oportunidad de actualizar esos debates, colocando las categorías en movimiento. El análisis etnográfico de la categoría de barrio en la urbanización de Villa Torres (La Matanza ayudará a explorar cómo este se constituye como «emblema» de la política pública, logrando captar variados recursos. De este modo, se analizará cómo se legitima la urbanización proyectando una imagen del barrio, de la urbanización y de quienes la conducen como «gente del barrio» para mostrar cómo el conocimiento local se imbrica en esta política pública.
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Object categorization by wild ranging birds-Winter feeder experiments.
Nováková, Nela; Veselý, Petr; Fuchs, Roman
2017-10-01
The object categorization is only scarcely studied using untrained wild ranging animals and relevant stimuli. We tested the importance of the spatial position of features salient for categorization of a predator using wild ranging birds (titmice) visiting a winter feeder. As a relevant stimulus we used a dummy of a raptor, the European sparrowhawk (Accipiter nisus), placed at the feeding location. This dummy was designed to be dismantled into three parts and rearranged with the head in the correct position, in the middle or at the bottom of the dummy. When the birds had the option of visiting an alternative feeder with a dummy pigeon, they preferred this option to visiting the feeder with the dummy sparrowhawk with the head in any of the three positions. When the birds had the option of visiting an alternative feeder with an un-rearranged dummy sparrowhawk, they visited both feeders equally often, and very scarcely. This suggests that the titmice considered all of the sparrowhawk modifications as being dangerous, and equally dangerous as the un-rearranged sparrowhawk. The position of the head was not the most important cue for categorization. The presence of the key features was probably sufficient for categorization, and their mutual spatial position was of lower importance. Copyright © 2017 Elsevier B.V. All rights reserved.
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Temporal dynamics of categorization: Forgetting as the basis of abstraction and generalization
Directory of Open Access Journals (Sweden)
Haley eVlach
2014-09-01
Full Text Available Historically, models of categorization have focused on how learners track frequencies and co-occurrence information to abstract relevant category features for generalization. The current study takes a different approach by examining how the temporal dynamics of categorization affect abstraction and generalization. In the learning phase of the experiment, all relevant category features were presented an equal number of times across category exemplars. However, the relevant features were presented on one of two learning schedules: massed or interleaved. At a series of immediate and delayed tests, learners were asked to generalize to novel exemplars that contained massed features, interleaved features, or all novel features. The results of this experiment revealed that, at an immediate test, learners more readily generalized based upon features presented on a massed schedule. Conversely, at a delayed test, learners more readily generalized based upon features presented on an interleaved schedule, until information was no longer readily retrievable from memory. These findings suggest that forgetting and retrieval processes engendered by the temporal dynamics of learning are used as a basis of abstraction, implicating forgetting as a central mechanism of generalization.
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International Nuclear Information System (INIS)
Kim, Youn Jeong; Choi, Hye Young; Moon, Byung In; Lee, Shi Nae
2006-01-01
The aim of our study was to determine the positive predictive value (PPV) and to evaluate the usefulness on ultrasound BI-RADS, as compared with the histologic results of breast lesions that were categorized and classified by the ultrasound BI-RADS lexicon. Between January and December 2004, the ultrasound features of 471 breast lesions in 368 patients were analyzed and categorized with using ultrasound BI-RADS. All of the lesions were compared with the histological results. We categorized category 2 and 3 lesions as benign lesions, and category 4 and 5 lesions as malignant lesions. We then calculated the sensitivity, specificity, positive, predictive value, negative predictive value and accuracy. The breast lesions were histologically diagnosed as 298 cases of category 2, 21 cases of category 3, 108 cases of category 4 and 44 cases of category 5. The categorical malignancy rate was 1% (3/298) in category 2 lesions, 4.7% (1/21) in category 3 lesions, 8.3% (9/108) in category 4 lesions and 90.9% (40/44) in category 5 lesions. Within category 4, the malignancy rate for category 4a lesions was 5.4% (5/92), the malignancy rate for category 4b lesions was 1.3% (1/8) and the malignancy rate for category 4c lesions was 50% (4/8). The sensitivity, specificity, positive predictive value and negative predictive value were 90.6%, 75.1%, 31.6% and 98.4%, respectively. The statistically valid ultrasound features that were correlated with malignancy were an ill defined margin, a microlobulated mass, an irregular mass, inhomogenic echogenicity, an echogenic halo and an older patient age. Ultrasound BI-RADS was useful in differentiating benign from malignant breast lesions
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Scene Categorization in Alzheimer's Disease: A Saccadic Choice Task
Directory of Open Access Journals (Sweden)
Quentin Lenoble
2015-01-01
Full Text Available Aims: We investigated the performance in scene categorization of patients with Alzheimer's disease (AD using a saccadic choice task. Method: 24 patients with mild AD, 28 age-matched controls and 26 young people participated in the study. The participants were presented pairs of coloured photographs and were asked to make a saccadic eye movement to the picture corresponding to the target scene (natural vs. urban, indoor vs. outdoor. Results: The patients' performance did not differ from chance for natural scenes. Differences between young and older controls and patients with AD were found in accuracy but not saccadic latency. Conclusions: The results are interpreted in terms of cerebral reorganization in the prefrontal and temporo-occipital cortex of patients with AD, but also in terms of impaired processing of visual global properties of scenes.
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P1-15: Categorical Color Perception of LED Illuminant Color for Deuteranomals
Directory of Open Access Journals (Sweden)
Saeko Oishi
2012-10-01
Full Text Available Color information has great value in our everyday lives, but it is not mindful of people with color vision deficiency (CVD. We can choose several color names to categorize a lot of colors around us. Eleven color names (white, black, red, green, yellow, blue, brown, orange, pink, and gray are known as basic color categories, but people with CVD cannot necessarily describe colors as people who are color vision normal (CVN do. Previous studies showed that it was hard for people with CVD to discriminate illuminant color from object color, and their color perception changed largely depending on experimental conditions. In this study we investigated categorical color perception of illuminant color for deuteranomals, using a mixture of light which consists of a red, a green, and a blue LED as a test stimulus. We tested those stimuli with three luminance levels (180 cd/m2, 18 cd/m2, 1.8 cd/m2 and two visual angles (10 deg, 0.5 deg. Subjects were three deuteranomals and three people who are CVN. Our result showed that the categorical color of mild deuteranomals was similar to that of those who were CVN, but that of severe deuteranomals was not. Severe deuteranomals judged more low chromatic colors as achromatic colors than those who were CVN. The smaller visual angle or lower luminance level the test stimulus had, the more deuteranomals confused color. The results suggest that the effect of the Bezold-Brucke phenomenon is greater to deuteranomals than to those who are CVN. Furthermore, deuteranomals use not only chromatic information but also luminance information when they describe color.
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A Geometrical Framework for Covariance Matrices of Continuous and Categorical Variables
Vernizzi, Graziano; Nakai, Miki
2015-01-01
It is well known that a categorical random variable can be represented geometrically by a simplex. Accordingly, several measures of association between categorical variables have been proposed and discussed in the literature. Moreover, the standard definitions of covariance and correlation coefficient for continuous random variables have been…
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Noise-enhanced categorization in a recurrently reconnected neural network
International Nuclear Information System (INIS)
Monterola, Christopher; Zapotocky, Martin
2005-01-01
We investigate the interplay of recurrence and noise in neural networks trained to categorize spatial patterns of neural activity. We develop the following procedure to demonstrate how, in the presence of noise, the introduction of recurrence permits to significantly extend and homogenize the operating range of a feed-forward neural network. We first train a two-level perceptron in the absence of noise. Following training, we identify the input and output units of the feed-forward network, and thus convert it into a two-layer recurrent network. We show that the performance of the reconnected network has features reminiscent of nondynamic stochastic resonance: the addition of noise enables the network to correctly categorize stimuli of subthreshold strength, with optimal noise magnitude significantly exceeding the stimulus strength. We characterize the dynamics leading to this effect and contrast it to the behavior of a more simple associative memory network in which noise-mediated categorization fails
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Noise-enhanced categorization in a recurrently reconnected neural network
Monterola, Christopher; Zapotocky, Martin
2005-03-01
We investigate the interplay of recurrence and noise in neural networks trained to categorize spatial patterns of neural activity. We develop the following procedure to demonstrate how, in the presence of noise, the introduction of recurrence permits to significantly extend and homogenize the operating range of a feed-forward neural network. We first train a two-level perceptron in the absence of noise. Following training, we identify the input and output units of the feed-forward network, and thus convert it into a two-layer recurrent network. We show that the performance of the reconnected network has features reminiscent of nondynamic stochastic resonance: the addition of noise enables the network to correctly categorize stimuli of subthreshold strength, with optimal noise magnitude significantly exceeding the stimulus strength. We characterize the dynamics leading to this effect and contrast it to the behavior of a more simple associative memory network in which noise-mediated categorization fails.
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Constantinidou, Fofi; Thomas, Robin D; Scharp, Victoria L; Laske, Kate M; Hammerly, Mark D; Guitonde, Suchita
2005-01-01
Previous research suggests that traumatic brain injury (TBI) interferes with the ability to extract and use attributes to describe objects. This study explored the effects of a systematic Categorization Program (CP) in participants with TBI and noninjured controls. Ten persons with moderate to severe TBI who received comprehensive postacute rehabilitation services and 13 matched noninjured controls participated in the study. All participants received CP training for 3 to 5 hours per week for 10 to 12 weeks that consisted of 8 levels and targeted concept formation, object categorization, and decision-making abilities. The Mayo-Portland Adaptability Inventory-3 (MPAI-3) and the Community Integration Questionnaire (CIQ). Two Categorization Tests (administered pretraining and posttraining) and 3 Probe Tasks (administered at specified intervals during training) assessed skills relating to categorization. Both groups showed significant improvement in categorization performance after the CP training on the 2 Categorization Tests related to the CP. They also were able to generalize and apply categorization and sorting skills in new situations (as measured by the Probe Tasks). Participants with TBI had improved functional outcome performance measured by the MPAI-3 and the CIQ. The systematic and hierarchical structure of the CP is beneficial to participants with TBI during postacute rehabilitation. This study contributes to the growing body of evidence supporting cognitive rehabilitation after moderate to severe TBI.
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The relationship between visual search and categorization of own- and other-age faces.
Craig, Belinda M; Lipp, Ottmar V
2018-03-13
Young adult participants are faster to detect young adult faces in crowds of infant and child faces than vice versa. These findings have been interpreted as evidence for more efficient attentional capture by own-age than other-age faces, but could alternatively reflect faster rejection of other-age than own-age distractors, consistent with the previously reported other-age categorization advantage: faster categorization of other-age than own-age faces. Participants searched for own-age faces in other-age backgrounds or vice versa. Extending the finding to different other-age groups, young adult participants were faster to detect young adult faces in both early adolescent (Experiment 1) and older adult backgrounds (Experiment 2). To investigate whether the own-age detection advantage could be explained by faster categorization and rejection of other-age background faces, participants in experiments 3 and 4 also completed an age categorization task. Relatively faster categorization of other-age faces was related to relatively faster search through other-age backgrounds on target absent trials but not target present trials. These results confirm that other-age faces are more quickly categorized and searched through and that categorization and search processes are related; however, this correlational approach could not confirm or reject the contribution of background face processing to the own-age detection advantage. © 2018 The British Psychological Society.
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Directory of Open Access Journals (Sweden)
Bjørn P Pedersen
Full Text Available BACKGROUND: Structured Logistic Regression (SLR is a newly developed machine learning tool first proposed in the context of text categorization. Current availability of extensive protein sequence databases calls for an automated method to reliably classify sequences and SLR seems well-suited for this task. The classification of P-type ATPases, a large family of ATP-driven membrane pumps transporting essential cations, was selected as a test-case that would generate important biological information as well as provide a proof-of-concept for the application of SLR to a large scale bioinformatics problem. RESULTS: Using SLR, we have built classifiers to identify and automatically categorize P-type ATPases into one of 11 pre-defined classes. The SLR-classifiers are compared to a Hidden Markov Model approach and shown to be highly accurate and scalable. Representing the bulk of currently known sequences, we analysed 9.3 million sequences in the UniProtKB and attempted to classify a large number of P-type ATPases. To examine the distribution of pumps on organisms, we also applied SLR to 1,123 complete genomes from the Entrez genome database. Finally, we analysed the predicted membrane topology of the identified P-type ATPases. CONCLUSIONS: Using the SLR-based classification tool we are able to run a large scale study of P-type ATPases. This study provides proof-of-concept for the application of SLR to a bioinformatics problem and the analysis of P-type ATPases pinpoints new and interesting targets for further biochemical characterization and structural analysis.
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Directory of Open Access Journals (Sweden)
Helena Vila Suárez
2007-03-01
Full Text Available En la presente investigación se analiza la condición física de 91 jugadoras de balonmano, con edades comprendidas entre 13 y 18 años, distribuidas en tres categorías diferentes, infantil (n = 30, cadete (n = 32 y juvenil (n = 29. La investigación tiene carácter descriptivo y transversal. El principal objetivo es analizar la estructura condicional de las jugadoras. Para su valoración se aplicó la batería Eurofit, la batería de Bosco y test de Abalakov. Se encontraron diferencias significativas entre la categoría infantil-cadete en cinco de las 14 variables estudiadas, y ninguna entre la categoría cadete-juvenil. Los mejores resultados se produjeron en la categoría juvenil. En general, las restantes variables siempre alcanzaron mejores valores que la población escolar (en aquellas variables en las que la comparación fue posible, pero peores que los valores presentados por las jugadoras de las selecciones españolas. En las pruebas que valoraron la fuerza de tren inferior, los resultados indican que a mayor categoría las diferencias son menores entre categorías
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Clinical evaluation of a simple uroflowmeter for categorization of maximum urinary flow rate
Directory of Open Access Journals (Sweden)
Simon Pridgeon
2007-01-01
Full Text Available Objective: To evaluate the accuracy and diagnostic usefulness of a disposable flowmeter consisting of a plastic funnel with a spout divided into three chambers. Materials and Methods: Men with lower urinary tract symptoms (LUTS voided sequentially into a standard flowmeter and the funnel device recording maximum flow rate (Q max and voided volume (V void . The device was precalibrated such that filling of the bottom, middle and top chambers categorized maximum input flows as 15 ml s -1 respectively. Subjects who agreed to use the funnel device at home obtained readings of flow category and V void twice daily for seven days. Results: A single office reading in 46 men using the device showed good agreement with standard measurement of Q max for V void > 150 ml (Kappa = 0.68. All 14 men whose void reached the top chamber had standard Q max > 15 ml s -1 (PPV = 100%, NPV = 72% whilst eight of 12 men whose void remained in the bottom chamber had standard Q max < 10 ml s -1 (PPV = 70%, NPV = 94%. During multiple home use by 14 men the device showed moderate repeatability (Kappa = 0.58 and correctly categorized Q max in comparison to standard measurement for 12 (87% men. Conclusions: This study suggests that the device has sufficient accuracy and reliability for initial flow rate assessment in men with LUTS. The device can provide a single measurement or alternatively multiple home measurements to categorize men with Q max < 15 ml s -1 .
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Dynamics of trimming the content of face representations for categorization in the brain.
Directory of Open Access Journals (Sweden)
Nicola J van Rijsbergen
2009-11-01
Full Text Available To understand visual cognition, it is imperative to determine when, how and with what information the human brain categorizes the visual input. Visual categorization consistently involves at least an early and a late stage: the occipito-temporal N170 event related potential related to stimulus encoding and the parietal P300 involved in perceptual decisions. Here we sought to understand how the brain globally transforms its representations of face categories from their early encoding to the later decision stage over the 400 ms time window encompassing the N170 and P300 brain events. We applied classification image techniques to the behavioral and electroencephalographic data of three observers who categorized seven facial expressions of emotion and report two main findings: (1 over the 400 ms time course, processing of facial features initially spreads bilaterally across the left and right occipito-temporal regions to dynamically converge onto the centro-parietal region; (2 concurrently, information processing gradually shifts from encoding common face features across all spatial scales (e.g., the eyes to representing only the finer scales of the diagnostic features that are richer in useful information for behavior (e.g., the wide opened eyes in 'fear'; the detailed mouth in 'happy'. Our findings suggest that the brain refines its diagnostic representations of visual categories over the first 400 ms of processing by trimming a thorough encoding of features over the N170, to leave only the detailed information important for perceptual decisions over the P300.
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Bui, Duy Duc An; Del Fiol, Guilherme; Hurdle, John F; Jonnalagadda, Siddhartha
2016-12-01
Extracting data from publication reports is a standard process in systematic review (SR) development. However, the data extraction process still relies too much on manual effort which is slow, costly, and subject to human error. In this study, we developed a text summarization system aimed at enhancing productivity and reducing errors in the traditional data extraction process. We developed a computer system that used machine learning and natural language processing approaches to automatically generate summaries of full-text scientific publications. The summaries at the sentence and fragment levels were evaluated in finding common clinical SR data elements such as sample size, group size, and PICO values. We compared the computer-generated summaries with human written summaries (title and abstract) in terms of the presence of necessary information for the data extraction as presented in the Cochrane review's study characteristics tables. At the sentence level, the computer-generated summaries covered more information than humans do for systematic reviews (recall 91.2% vs. 83.8%, p<0.001). They also had a better density of relevant sentences (precision 59% vs. 39%, p<0.001). At the fragment level, the ensemble approach combining rule-based, concept mapping, and dictionary-based methods performed better than individual methods alone, achieving an 84.7% F-measure. Computer-generated summaries are potential alternative information sources for data extraction in systematic review development. Machine learning and natural language processing are promising approaches to the development of such an extractive summarization system. Copyright © 2016 Elsevier Inc. All rights reserved.
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International Nuclear Information System (INIS)
Tang, Rongyao; Xu, Xiaoxiao; Zhang, Jiangang; Zhao, Bin
2008-01-01
The emergency threat categorization method suggested by international atomic energy agency (IAEA) and hazard categorization standard by the Department of Energy of United States (USDOE) for nuclear facilities are compared and discussed in this paper. The research shows the two types of categorization method for nuclear facility are similar, though each has its own speciality. The categorization method suggested by IAEA is quite completed and sound in scientific basis. The thresholds of radioactive material are connected with the quantity of dangerous source, and the latest radiobiological effect research results are taken in setting the thresholds. While the main purpose is put on emergency management, some of the categorization criteria do not fit for safety surveillance of nuclear facilities. The categorization method of DOE is advanced in its operability, and it fits for safety surveillance. The disadvantage is that the thresholds of radioactive material need to be updated because the parameters used in calculation is outdated, and also the threshold of category 3 is somewhat disputable for many reasons. We should take advantage of both methods and adjust the standards according to the application purpose while establishing the categorization standard of nuclear facilities in China. (author)
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Layout-aware text extraction from full-text PDF of scientific articles
Directory of Open Access Journals (Sweden)
Ramakrishnan Cartic
2012-05-01
Full Text Available Abstract Background The Portable Document Format (PDF is the most commonly used file format for online scientific publications. The absence of effective means to extract text from these PDF files in a layout-aware manner presents a significant challenge for developers of biomedical text mining or biocuration informatics systems that use published literature as an information source. In this paper we introduce the ‘Layout-Aware PDF Text Extraction’ (LA-PDFText system to facilitate accurate extraction of text from PDF files of research articles for use in text mining applications. Results Our paper describes the construction and performance of an open source system that extracts text blocks from PDF-formatted full-text research articles and classifies them into logical units based on rules that characterize specific sections. The LA-PDFText system focuses only on the textual content of the research articles and is meant as a baseline for further experiments into more advanced extraction methods that handle multi-modal content, such as images and graphs. The system works in a three-stage process: (1 Detecting contiguous text blocks using spatial layout processing to locate and identify blocks of contiguous text, (2 Classifying text blocks into rhetorical categories using a rule-based method and (3 Stitching classified text blocks together in the correct order resulting in the extraction of text from section-wise grouped blocks. We show that our system can identify text blocks and classify them into rhetorical categories with Precision1 = 0.96% Recall = 0.89% and F1 = 0.91%. We also present an evaluation of the accuracy of the block detection algorithm used in step 2. Additionally, we have compared the accuracy of the text extracted by LA-PDFText to the text from the Open Access subset of PubMed Central. We then compared this accuracy with that of the text extracted by the PDF2Text system, 2commonly used to extract text from PDF
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Topological and categorical properties of binary trees
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H. Pajoohesh
2008-04-01
Full Text Available Binary trees are very useful tools in computer science for estimating the running time of so-called comparison based algorithms, algorithms in which every action is ultimately based on a prior comparison between two elements. For two given algorithms A and B where the decision tree of A is more balanced than that of B, it is known that the average and worst case times of A will be better than those of B, i.e., ₸A(n ≤₸B(n and TWA (n≤TWB (n. Thus the most balanced and the most imbalanced binary trees play a main role. Here we consider them as semilattices and characterize the most balanced and the most imbalanced binary trees by topological and categorical properties. Also we define the composition of binary trees as a commutative binary operation, *, such that for binary trees A and B, A * B is the binary tree obtained by attaching a copy of B to any leaf of A. We show that (T,* is a commutative po-monoid and investigate its properties.
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Limited Memory, Categorization, and Competition
Yuxin Chen; Ganesh Iyer; Amit Pazgal
2010-01-01
This paper investigates the effects of a limited consumer memory on the price competition between firms. It studies a specific aspect of memory--namely, the categorization of available price information that the consumers may need to recall for decision making. This paper analyzes competition between firms in a market with uninformed consumers who do not compare prices, informed consumers who compare prices but with limited memory, and informed consumers who have perfect memory. Consumers, aw...
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Hung, Jui-Long; Zhang, Ke
2012-01-01
This study investigated the longitudinal trends of academic articles in Mobile Learning (ML) using text mining techniques. One hundred and nineteen (119) refereed journal articles and proceedings papers from the SCI/SSCI database were retrieved and analyzed. The taxonomies of ML publications were grouped into twelve clusters (topics) and four…
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Nonparametric Bayes Modeling of Multivariate Categorical Data.
Dunson, David B; Xing, Chuanhua
2012-01-01
Modeling of multivariate unordered categorical (nominal) data is a challenging problem, particularly in high dimensions and cases in which one wishes to avoid strong assumptions about the dependence structure. Commonly used approaches rely on the incorporation of latent Gaussian random variables or parametric latent class models. The goal of this article is to develop a nonparametric Bayes approach, which defines a prior with full support on the space of distributions for multiple unordered categorical variables. This support condition ensures that we are not restricting the dependence structure a priori. We show this can be accomplished through a Dirichlet process mixture of product multinomial distributions, which is also a convenient form for posterior computation. Methods for nonparametric testing of violations of independence are proposed, and the methods are applied to model positional dependence within transcription factor binding motifs.
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Indoor Place Categorization based on Adaptive Partitioning of Texture Histograms
Directory of Open Access Journals (Sweden)
Sven Eberhardt
2014-12-01
Full Text Available How can we localize ourselves within a building solely using visual information, i.e., when no data about prior location or movement are available? Here, we define place categorization as a set of three distinct image classification tasks for view matching, location matching, and room matching. We present a novel image descriptor built on texture statistics and dynamic image partitioning that can be used to solve all tested place classification tasks. We benchmark the descriptor by assessing performance of regularization on our own dataset as well as the established Indoor Environment under Changing conditionS dataset, which varies lighting condition, location, and viewing angle on photos taken within an office building. We show improvement on both the datasets against a number of baseline algorithms.
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Layout-aware text extraction from full-text PDF of scientific articles.
Ramakrishnan, Cartic; Patnia, Abhishek; Hovy, Eduard; Burns, Gully Apc
2012-05-28
The Portable Document Format (PDF) is the most commonly used file format for online scientific publications. The absence of effective means to extract text from these PDF files in a layout-aware manner presents a significant challenge for developers of biomedical text mining or biocuration informatics systems that use published literature as an information source. In this paper we introduce the 'Layout-Aware PDF Text Extraction' (LA-PDFText) system to facilitate accurate extraction of text from PDF files of research articles for use in text mining applications. Our paper describes the construction and performance of an open source system that extracts text blocks from PDF-formatted full-text research articles and classifies them into logical units based on rules that characterize specific sections. The LA-PDFText system focuses only on the textual content of the research articles and is meant as a baseline for further experiments into more advanced extraction methods that handle multi-modal content, such as images and graphs. The system works in a three-stage process: (1) Detecting contiguous text blocks using spatial layout processing to locate and identify blocks of contiguous text, (2) Classifying text blocks into rhetorical categories using a rule-based method and (3) Stitching classified text blocks together in the correct order resulting in the extraction of text from section-wise grouped blocks. We show that our system can identify text blocks and classify them into rhetorical categories with Precision1 = 0.96% Recall = 0.89% and F1 = 0.91%. We also present an evaluation of the accuracy of the block detection algorithm used in step 2. Additionally, we have compared the accuracy of the text extracted by LA-PDFText to the text from the Open Access subset of PubMed Central. We then compared this accuracy with that of the text extracted by the PDF2Text system, 2commonly used to extract text from PDF. Finally, we discuss preliminary error analysis for
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Segmentation precedes face categorization under suboptimal conditions
Van Den Boomen, Carlijn; Fahrenfort, Johannes J; Snijders, Tineke M; Kemner, Chantal
2015-01-01
Both categorization and segmentation processes play a crucial role in face perception. However, the functional relation between these subprocesses is currently unclear. The present study investigates the temporal relation between segmentation-related and category-selective responses in the brain,
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Same-gender distractors are not so easy to reject: ERP evidence of gender categorization.
Rakić, Tamara; Steffens, Melanie C; Wiese, Holger
2018-05-07
Social categorization appears to be an automatic process that occurs during person perception. Understanding social categorization better is important because mere categorization can lead to stereotype activation and, in turn, to discrimination. In the present study we used a novel approach to examine event-related potentials (ERPs) of gender categorization in the "Who said what?" memory paradigm, thus allowing for a more in-depth understanding of the specific mechanisms underlying identity versus categorization processing. After observing video clips showing a "discussion" among female and male targets, participants were shown individual statements, each accompanied by one of the discussants' faces. While we measured ERPs, participants had to decide whether or not a given statement had previously been made by the person with the accompanying face. In same-person trials, statements were paired with the correct person, whereas in the distractor trials, either a same-gender or a different-gender distractor was shown. As expected, participants were able to reject different-gender distractors faster than same-gender distractors, and they were more likely to falsely choose yes for a same-gender than for a different-gender distractor. Both findings indicate gender-based categorization. ERPs, analyzed in a 300- to 400-ms time window at occipito-temporal channels, indicated more negative amplitudes for yes responses both for the same person and for same-gender distractors, relative to different-gender distractors. Overall, these results show gender-based categorization even when the task was to assess the identifying information in a gender-neutral context. These findings are interpreted as showing that gender categorization occurs automatically during person perception, but later than race- or age-based categorization.
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Asada, Tatsunori; Yamada, Takayuki; Kanemaki, Yoshihide; Fujiwara, Keishi; Okamoto, Satoko; Nakajima, Yasuo
2018-03-01
To analyze the association of breast non-mass enhancement descriptors in the BI-RADS 5th edition with malignancy, and to establish a grading system and categorization of descriptors. This study was approved by our institutional review board. A total of 213 patients were enrolled. Breast MRI was performed with a 1.5-T MRI scanner using a 16-channel breast radiofrequency coil. Two radiologists determined internal enhancement and distribution of non-mass enhancement by consensus. Corresponding pathologic diagnoses were obtained by either biopsy or surgery. The probability of malignancy by descriptor was analyzed using Fisher's exact test and multivariate logistic regression analysis. The probability of malignancy by category was analyzed using Fisher's exact and multi-group comparison tests. One hundred seventy-eight lesions were malignant. Multivariate model analysis showed that internal enhancement (homogeneous vs others, p probability of malignancy (p < 0.0001). The three-grade criteria and categorization by sum-up grades of descriptors appear valid for non-mass enhancement.
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Bifactor Structure for the Categorical Chinese Rosenberg Self-Esteem Scale.
Xu, Menglin; Leung, Shing-On
2016-10-11
Recently, the bifactor model was suggested for the latent structure of the Rosenberg Self-Esteem Scale (RSES). The present paper investigates (i) the differences among bifactor, bifactor negative and other models; (ii) the effects of treating data as both categorical vs continuous; (iii) whether a problematic item in the Chinese RSES should be removed; and (iv) whether the final scoring would be affected. With a sample of 1.734 grade 4-6 school pupils in Hong Kong, we used BIC differences in addition to the usual model fit indices, and found that there was strong evidence for using the bifactor model (RMSEA = .052, 90% CI [.043, .062], CFI = .992, TLI = .984 for 9-item RSES categorical). Little difference is found between treating data as categorical or continuous for fit indices, but the factor loading patterns are better in categorical case. Keeping a problematic item has little effect on fit indices, but would lead to unexpected negative loading. The ranking of loadings within positive and negative items across different conditions are the same, which has important effects on scoring. Loadings in the method effects in the bifactor models are all positive (p < .001), which is different from previous research. All models show similar results on scoring, and support the usual simple sum score in most practice.
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Perceptual sensitivity to spectral properties of earlier sounds during speech categorization.
Stilp, Christian E; Assgari, Ashley A
2018-02-28
Speech perception is heavily influenced by surrounding sounds. When spectral properties differ between earlier (context) and later (target) sounds, this can produce spectral contrast effects (SCEs) that bias perception of later sounds. For example, when context sounds have more energy in low-F 1 frequency regions, listeners report more high-F 1 responses to a target vowel, and vice versa. SCEs have been reported using various approaches for a wide range of stimuli, but most often, large spectral peaks were added to the context to bias speech categorization. This obscures the lower limit of perceptual sensitivity to spectral properties of earlier sounds, i.e., when SCEs begin to bias speech categorization. Listeners categorized vowels (/ɪ/-/ɛ/, Experiment 1) or consonants (/d/-/g/, Experiment 2) following a context sentence with little spectral amplification (+1 to +4 dB) in frequency regions known to produce SCEs. In both experiments, +3 and +4 dB amplification in key frequency regions of the context produced SCEs, but lesser amplification was insufficient to bias performance. This establishes a lower limit of perceptual sensitivity where spectral differences across sounds can bias subsequent speech categorization. These results are consistent with proposed adaptation-based mechanisms that potentially underlie SCEs in auditory perception. Recent sounds can change what speech sounds we hear later. This can occur when the average frequency composition of earlier sounds differs from that of later sounds, biasing how they are perceived. These "spectral contrast effects" are widely observed when sounds' frequency compositions differ substantially. We reveal the lower limit of these effects, as +3 dB amplification of key frequency regions in earlier sounds was enough to bias categorization of the following vowel or consonant sound. Speech categorization being biased by very small spectral differences across sounds suggests that spectral contrast effects occur
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The Education of the Categorical Imperative
Johnston, James Scott
2006-01-01
In this article, I examine anew the moral philosophy of Immanuel Kant and its contributions to educational theory. I make four claims. First, that Kant should be read as having the Categorical Imperative develop out of subjective maxims. Second, that moral self-perfection is the aim of moral education. Third, that moral self-perfection develops by…
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ADAPTING HYBRID MACHINE TRANSLATION TECHNIQUES FOR CROSS-LANGUAGE TEXT RETRIEVAL SYSTEM
Directory of Open Access Journals (Sweden)
P. ISWARYA
2017-03-01
Full Text Available This research work aims in developing Tamil to English Cross - language text retrieval system using hybrid machine translation approach. The hybrid machine translation system is a combination of rule based and statistical based approaches. In an existing word by word translation system there are lot of issues and some of them are ambiguity, Out-of-Vocabulary words, word inflections, and improper sentence structure. To handle these issues, proposed architecture is designed in such a way that, it contains Improved Part-of-Speech tagger, machine learning based morphological analyser, collocation based word sense disambiguation procedure, semantic dictionary, and tense markers with gerund ending rules, and two pass transliteration algorithm. From the experimental results it is clear that the proposed Tamil Query based translation system achieves significantly better translation quality over existing system, and reaches 95.88% of monolingual performance.
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Memory, reasoning, and categorization: parallels and common mechanisms.
Hayes, Brett K; Heit, Evan; Rotello, Caren M
2014-01-01
Traditionally, memory, reasoning, and categorization have been treated as separate components of human cognition. We challenge this distinction, arguing that there is broad scope for crossover between the methods and theories developed for each task. The links between memory and reasoning are illustrated in a review of two lines of research. The first takes theoretical ideas (two-process accounts) and methodological tools (signal detection analysis, receiver operating characteristic curves) from memory research and applies them to important issues in reasoning research: relations between induction and deduction, and the belief bias effect. The second line of research introduces a task in which subjects make either memory or reasoning judgments for the same set of stimuli. Other than broader generalization for reasoning than memory, the results were similar for the two tasks, across a variety of experimental stimuli and manipulations. It was possible to simultaneously explain performance on both tasks within a single cognitive architecture, based on exemplar-based comparisons of similarity. The final sections explore evidence for empirical and processing links between inductive reasoning and categorization and between categorization and recognition. An important implication is that progress in all three of these fields will be expedited by further investigation of the many commonalities between these tasks.
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Knowledge Dictionary for Information Extraction on the Arabic Text Data
Directory of Open Access Journals (Sweden)
Wahyu Jauharis Saputra
2013-04-01
Full Text Available Information extraction is an early stage of a process of textual data analysis. Information extraction is required to get information from textual data that can be used for process analysis, such as classification and categorization. A textual data is strongly influenced by the language. Arabic is gaining a significant attention in many studies because Arabic language is very different from others, and in contrast to other languages, tools and research on the Arabic language is still lacking. The information extracted using the knowledge dictionary is a concept of expression. A knowledge dictionary is usually constructed manually by an expert and this would take a long time and is specific to a problem only. This paper proposed a method for automatically building a knowledge dictionary. Dictionary knowledge is formed by classifying sentences having the same concept, assuming that they will have a high similarity value. The concept that has been extracted can be used as features for subsequent computational process such as classification or categorization. Dataset used in this paper was the Arabic text dataset. Extraction result was tested by using a decision tree classification engine and the highest precision value obtained was 71.0% while the highest recall value was 75.0%.
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Four meanings of "categorization": A conceptual analysis of research on person perception
Klapper, A.P.; Dotsch, R.; Rooij, I.J.E.I. van; Wigboldus, D.H.J.
2017-01-01
It is widely assumed that people tend to "categorize" other people. However, the term "categorization" has been used with qualitatively different underlying definitions in the person perception literature. We present a conceptual analysis in which we disentangle four existing definitions: (a)
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AutoCategorization for Customized Knowledge Portals, Phase I
National Aeronautics and Space Administration — An AutoCategorizing Knowledge Management Engine ("AKM") will automate key capabilities for both human-human and human-agent collaboration tools in aerospace...
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Powell, Justin J W
2010-01-01
How do we make sense of considerable cultural differences and change in disability classification? How are disability’s categorical boundaries being redrawn in the case of special education to realign with shifting paradigms of normality? Based in particular on the case of provided services to students “with special educational needs,” this analysis examines classification systems of student disability and their categorical boundaries in the United States and Germany. Sketching the origins and e...
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Directory of Open Access Journals (Sweden)
Paola Andrea Posada
2009-01-01
Full Text Available En este artículo se pretende exponer el modo en que los refugiados y los desplazados forzados surgen como categorías jurídicas, a partir de intereses de la comunidad internacional por controlar las migraciones no deseadas. Para ello se hace un desarrollo analítico a partir del Sistema global de las migraciones propuesto por Vidal (2005, en el cual se relacionan las categorías de migración forzada, refugio y desplazamiento forzado. Se intenta, además, mostrar que la categoría de refugiado incide de manera restrictiva en los intereses de los migrantes forzados y entre ellos los desplazados forzados.
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Infants’ Visual Recognition Memory for a Series of Categorically Related Items
Oakes, Lisa M.; Kovack-Lesh, Kristine A.
2013-01-01
Six-month-old infants' ("N" = 168) memory for individual items in a categorized list (e.g., images of dogs or cats) was examined to investigate the interactions between visual recognition memory, working memory, and categorization. In Experiments 1 and 2, infants were familiarized with six different cats or dogs, presented one at a time…
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Two-stage categorization in brand extension evaluation: electrophysiological time course evidence.
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Qingguo Ma
Full Text Available A brand name can be considered a mental category. Similarity-based categorization theory has been used to explain how consumers judge a new product as a member of a known brand, a process called brand extension evaluation. This study was an event-related potential study conducted in two experiments. The study found a two-stage categorization process reflected by the P2 and N400 components in brand extension evaluation. In experiment 1, a prime-probe paradigm was presented in a pair consisting of a brand name and a product name in three conditions, i.e., in-category extension, similar-category extension, and out-of-category extension. Although the task was unrelated to brand extension evaluation, P2 distinguished out-of-category extensions from similar-category and in-category ones, and N400 distinguished similar-category extensions from in-category ones. In experiment 2, a prime-probe paradigm with a related task was used, in which product names included subcategory and major-category product names. The N400 elicited by subcategory products was more significantly negative than that elicited by major-category products, with no salient difference in P2. We speculated that P2 could reflect the early low-level and similarity-based processing in the first stage, whereas N400 could reflect the late analytic and category-based processing in the second stage.
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Neighborhood conflicts : The role of social categorization
Ufkes, Elze G.; Otten, Sabine; van der Zee, Karen I.; Giebels, Ellen
Purpose: In a multicultural context, this study aims to investigate the effect of ingroup versus outgroup categorization and stereotypes on residents' emotional and behavioral reactions in neighbor-to-neighbor conflicts. Based on the literature on the "black sheep effect", the authors predicted that
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Uncertainty Categorization, Modeling, and Management for Regional Water Supply Planning
Fletcher, S.; Strzepek, K. M.; AlSaati, A.; Alhassan, A.
2016-12-01
Many water planners face increased pressure on water supply systems from growing demands, variability in supply and a changing climate. Short-term variation in water availability and demand; long-term uncertainty in climate, groundwater storage, and sectoral competition for water; and varying stakeholder perspectives on the impacts of water shortages make it difficult to assess the necessity of expensive infrastructure investments. We categorize these uncertainties on two dimensions: whether they are the result of stochastic variation or epistemic uncertainty, and whether the uncertainties can be described probabilistically or are deep uncertainties whose likelihood is unknown. We develop a decision framework that combines simulation for probabilistic uncertainty, sensitivity analysis for deep uncertainty and Bayesian decision analysis for uncertainties that are reduced over time with additional information. We apply this framework to two contrasting case studies - drought preparedness in Melbourne, Australia and fossil groundwater depletion in Riyadh, Saudi Arabia - to assess the impacts of different types of uncertainty on infrastructure decisions. Melbourne's water supply system relies on surface water, which is impacted by natural variation in rainfall, and a market-based system for managing water rights. Our results show that small, flexible investment increases can mitigate shortage risk considerably at reduced cost. Riyadh, by contrast, relies primarily on desalination for municipal use and fossil groundwater for agriculture, and a centralized planner makes allocation decisions. Poor regional groundwater measurement makes it difficult to know when groundwater pumping will become uneconomical, resulting in epistemic uncertainty. However, collecting more data can reduce the uncertainty, suggesting the need for different uncertainty modeling and management strategies in Riyadh than in Melbourne. We will categorize the two systems and propose appropriate
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Zoubrinetzky, Rachel; Collet, Gregory; Serniclaes, Willy; Nguyen-Morel, Marie-Ange; Valdois, Sylviane
2016-01-01
We tested the hypothesis that the categorical perception deficit of speech sounds in developmental dyslexia is related to phoneme awareness skills, whereas a visual attention (VA) span deficit constitutes an independent deficit. Phoneme awareness tasks, VA span tasks and categorical perception tasks of phoneme identification and discrimination using a d/t voicing continuum were administered to 63 dyslexic children and 63 control children matched on chronological age. Results showed significant differences in categorical perception between the dyslexic and control children. Significant correlations were found between categorical perception skills, phoneme awareness and reading. Although VA span correlated with reading, no significant correlations were found between either categorical perception or phoneme awareness and VA span. Mediation analyses performed on the whole dyslexic sample suggested that the effect of categorical perception on reading might be mediated by phoneme awareness. This relationship was independent of the participants' VA span abilities. Two groups of dyslexic children with a single phoneme awareness or a single VA span deficit were then identified. The phonologically impaired group showed lower categorical perception skills than the control group but categorical perception was similar in the VA span impaired dyslexic and control children. The overall findings suggest that the link between categorical perception, phoneme awareness and reading is independent from VA span skills. These findings provide new insights on the heterogeneity of developmental dyslexia. They suggest that phonological processes and VA span independently affect reading acquisition.
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Zoubrinetzky, Rachel; Collet, Gregory; Serniclaes, Willy; Nguyen-Morel, Marie-Ange; Valdois, Sylviane
2016-01-01
We tested the hypothesis that the categorical perception deficit of speech sounds in developmental dyslexia is related to phoneme awareness skills, whereas a visual attention (VA) span deficit constitutes an independent deficit. Phoneme awareness tasks, VA span tasks and categorical perception tasks of phoneme identification and discrimination using a d/t voicing continuum were administered to 63 dyslexic children and 63 control children matched on chronological age. Results showed significant differences in categorical perception between the dyslexic and control children. Significant correlations were found between categorical perception skills, phoneme awareness and reading. Although VA span correlated with reading, no significant correlations were found between either categorical perception or phoneme awareness and VA span. Mediation analyses performed on the whole dyslexic sample suggested that the effect of categorical perception on reading might be mediated by phoneme awareness. This relationship was independent of the participants’ VA span abilities. Two groups of dyslexic children with a single phoneme awareness or a single VA span deficit were then identified. The phonologically impaired group showed lower categorical perception skills than the control group but categorical perception was similar in the VA span impaired dyslexic and control children. The overall findings suggest that the link between categorical perception, phoneme awareness and reading is independent from VA span skills. These findings provide new insights on the heterogeneity of developmental dyslexia. They suggest that phonological processes and VA span independently affect reading acquisition. PMID:26950210
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Yoneoka, Daisuke; Henmi, Masayuki
2017-11-30
Recently, the number of clinical prediction models sharing the same regression task has increased in the medical literature. However, evidence synthesis methodologies that use the results of these regression models have not been sufficiently studied, particularly in meta-analysis settings where only regression coefficients are available. One of the difficulties lies in the differences between the categorization schemes of continuous covariates across different studies. In general, categorization methods using cutoff values are study specific across available models, even if they focus on the same covariates of interest. Differences in the categorization of covariates could lead to serious bias in the estimated regression coefficients and thus in subsequent syntheses. To tackle this issue, we developed synthesis methods for linear regression models with different categorization schemes of covariates. A 2-step approach to aggregate the regression coefficient estimates is proposed. The first step is to estimate the joint distribution of covariates by introducing a latent sampling distribution, which uses one set of individual participant data to estimate the marginal distribution of covariates with categorization. The second step is to use a nonlinear mixed-effects model with correction terms for the bias due to categorization to estimate the overall regression coefficients. Especially in terms of precision, numerical simulations show that our approach outperforms conventional methods, which only use studies with common covariates or ignore the differences between categorization schemes. The method developed in this study is also applied to a series of WHO epidemiologic studies on white blood cell counts. Copyright © 2017 John Wiley & Sons, Ltd.
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Using warnings to reduce categorical false memories in younger and older adults.
Carmichael, Anna M; Gutchess, Angela H
2016-07-01
Warnings about memory errors can reduce their incidence, although past work has largely focused on associative memory errors. The current study sought to explore whether warnings could be tailored to specifically reduce false recall of categorical information in both younger and older populations. Before encoding word pairs designed to induce categorical false memories, half of the younger and older participants were warned to avoid committing these types of memory errors. Older adults who received a warning committed fewer categorical memory errors, as well as other types of semantic memory errors, than those who did not receive a warning. In contrast, young adults' memory errors did not differ for the warning versus no-warning groups. Our findings provide evidence for the effectiveness of warnings at reducing categorical memory errors in older adults, perhaps by supporting source monitoring, reduction in reliance on gist traces, or through effective metacognitive strategies.
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Generalizing a categorization of students' interpretations of linear kinematics graphs
Bollen, Laurens; De Cock, Mieke; Zuza, Kristina; Guisasola, Jenaro; van Kampen, Paul
2016-01-01
We have investigated whether and how a categorization of responses to questions on linear distance-time graphs, based on a study of Irish students enrolled in an algebra-based course, could be adopted and adapted to responses from students enrolled in calculus-based physics courses at universities in Flanders, Belgium (KU Leuven) and the Basque Country, Spain (University of the Basque Country). We discuss how we adapted the categorization to accommodate a much more diverse student cohort and ...
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Children's use of comparison and function in novel object categorization.
Kimura, Katherine; Hunley, Samuel B; Namy, Laura L
2018-06-01
Although young children often rely on salient perceptual cues, such as shape, when categorizing novel objects, children eventually shift towards deeper relational reasoning about category membership. This study investigates what information young children use to classify novel instances of familiar categories. Specifically, we investigated two sources of information that have the potential to facilitate the classification of novel exemplars: (1) comparison of familiar category instances, and (2) attention to function information that might direct children's attention to functionally relevant perceptual features. Across two experiments, we found that comparing two perceptually similar category members-particularly when function information was also highlighted-led children to discover non-obvious relational features that supported their categorization of novel category instances. Together, these findings demonstrate that comparison may aid in novel object categorization by heightening the salience of less obvious, yet functionally relevant, relational structures that support conceptual reasoning. Copyright © 2018. Published by Elsevier Inc.
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Skorich, Daniel P; Gash, Tahlia B; Stalker, Katie L; Zheng, Lidan; Haslam, S Alexander
2017-05-01
The social difficulties of autism spectrum disorder (ASD) are typically explained as a disruption in the Shared Attention Mechanism (SAM) sub-component of the theory of mind (ToM) system. In the current paper, we explore the hypothesis that SAM's capacity to construct the self-other-object relations necessary for shared-attention arises from a self-categorization process, which is weaker among those with more autistic-like traits. We present participants with self-categorization and shared-attention tasks, and measure their autism-spectrum quotient (AQ). Results reveal a negative relationship between AQ and shared-attention, via self-categorization, suggesting a role for self-categorization in the disruption in SAM seen in ASD. Implications for intervention, and for a ToM model in which weak central coherence plays a role are discussed.
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Categorization of natural dynamic audiovisual scenes.
Directory of Open Access Journals (Sweden)
Olli Rummukainen
Full Text Available This work analyzed the perceptual attributes of natural dynamic audiovisual scenes. We presented thirty participants with 19 natural scenes in a similarity categorization task, followed by a semi-structured interview. The scenes were reproduced with an immersive audiovisual display. Natural scene perception has been studied mainly with unimodal settings, which have identified motion as one of the most salient attributes related to visual scenes, and sound intensity along with pitch trajectories related to auditory scenes. However, controlled laboratory experiments with natural multimodal stimuli are still scarce. Our results show that humans pay attention to similar perceptual attributes in natural scenes, and a two-dimensional perceptual map of the stimulus scenes and perceptual attributes was obtained in this work. The exploratory results show the amount of movement, perceived noisiness, and eventfulness of the scene to be the most important perceptual attributes in naturalistically reproduced real-world urban environments. We found the scene gist properties openness and expansion to remain as important factors in scenes with no salient auditory or visual events. We propose that the study of scene perception should move forward to understand better the processes behind multimodal scene processing in real-world environments. We publish our stimulus scenes as spherical video recordings and sound field recordings in a publicly available database.
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2012-02-01
strategies, and even tactics, were seriously flawed systemically. But the urge to categorize and clarify, after the fashion of Victorian entomologists...strategic think- ing today is a confused jumble of briefly fashionable buzzwords of uncertain authority or merit. This con- 2 fusion of ideas rests and...concep- tual subject permits. 1. Clarity in definition matters greatly. It may be fashionable and expedient to deploy fuzzy blurring descriptors like
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Categorical Algebra and its Applications
1988-01-01
Categorical algebra and its applications contain several fundamental papers on general category theory, by the top specialists in the field, and many interesting papers on the applications of category theory in functional analysis, algebraic topology, algebraic geometry, general topology, ring theory, cohomology, differential geometry, group theory, mathematical logic and computer sciences. The volume contains 28 carefully selected and refereed papers, out of 96 talks delivered, and illustrates the usefulness of category theory today as a powerful tool of investigation in many other areas.
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Categorization of videogames: some comments on 'Children and electronic games' by Funk, et al.
Griffiths, M
2000-06-01
Comments are made on an article by Funk, et al. about children and electronic games. This author argues the cross-cultural differences and developmental effects must be taken into account and that the categorization system of videogames based on content is incomplete or too general to cover the complex actions of contemporary videogames. These factors alone may have implications for research.
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The Categorical Imperative Analyzing Immanuel Kant’s Grounding for A Metaphysics of Morals
Bordum, Anders
2002-01-01
In this article I first argue that Immanuel Kant’s conception of the categorical imperative is important to his philosophy. I systematically, though indirectly, interconnect the cognitive and moral aspects of his thinking. Second, I present an interpretation of the Kantian ethics, taking as my point of departure, the concept of the categorical imperative. Finally, I show how the categorical imperative is given a dialogical interpretation by Jürgen Habermas in his approach, usually referred to...
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Guina, Jeffrey; Baker, Matthew; Stinson, Kelly; Maust, Jon; Coles, Joseph; Broderick, Pamela
2017-08-15
Since 1980, posttraumatic stress (PTS) disorder has been controversial because of its origin as a social construct, its discriminating trauma definition, and the Procrustean array of symptoms/clusters chosen for inclusion/exclusion. This review summarizes the history of trauma-related nosology and proposed changes, within current categorical models (trauma definitions, symptoms/clusters, subtypes/specifiers, disorders) and new models. Considering that trauma is a risk factor for virtually all mental disorders (particularly depressive, anxiety, dissociative, personality), the multi-finality of trauma (some survivors are resilient, and some develop PTS and/or non-PTS symptoms), and the various symptoms that trauma survivors express (mood, cognitive, perceptual, somatic), it is difficult to classify PTS. Because the human mind best comprehends categories, reliable classification generally necessitates using a categorical nosology but PTS defies categories (internalizing and/or externalizing, fear-based and/or numbing symptoms), the authors conclude that PTS-like DSM-5's panic attacks specifier-is currently best conceptualized as a specifier for other mental disorders.
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Mechanisms underlying speech sound discrimination and categorization in humans and zebra finches
Burgering, Merel A.; ten Cate, Carel; Vroomen, Jean
Speech sound categorization in birds seems in many ways comparable to that by humans, but it is unclear what mechanisms underlie such categorization. To examine this, we trained zebra finches and humans to discriminate two pairs of edited speech sounds that varied either along one dimension (vowel
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The Problem of Evaluative Categorization of Human Intelligence in Linguistic World Images
Abisheva, Klara M.; Dossanova, Altynay Zh.; Ismakova, Bibissara S.; Aupova, Gulbagira K.; Ayapbergenov, Bulat K.; Tlegenova, Kulyan A.
2016-01-01
The aim of the research is to determine the peculiarities of the evaluative categorization of human intelligence in linguistic world images. The study describes the interdisciplinary approach to studying evaluative categorization, which assumes the use of complex methodology including the anthropocentric, the interdisciplinary, and the cognitive…
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The Role of Common Motor Responses in Stimulus Categorization by Preschool Children
Mahoney, Amanda M; Miguel, Caio F; Ahearn, William H; Bell, Julianne
2011-01-01
The purpose of this study was to assess the role of common motor responses as the “speaker” behavior on stimulus class formation, and the emergence of functional classes. Experiment 1 examined whether training one motor response to a set of three stimuli and a second motor response to another set of three stimuli would result in correct category-sort responses for 5 typically developing preschool children. Three of the children passed the categorization tests. Experiment 2 examined whether the classes formed in Experiment 1 were functional classes, and whether participants who did not pass categorization tests in Experiment 1 would do so following common vocal tact training. The 2 participants who failed categorization tests in Experiment 1 passed these tests in Experiment 2, although none of the participants passed the tests for functional classes. The results of the current study did not unequivocally support the naming hypothesis. Future research should therefore evaluate other possible sources of control that aid in stimulus categorization. PMID:21541124
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Effectiveness of Systemic Text Analysis in EFL Writing Instruction
Velasco Tovar, Ender
2016-01-01
This action research study investigates the effectiveness of a model based on the theory of systemic text analysis for the teaching of EFL writing. Employing students' pieces of writing and a teachers' survey as data collection instruments, the writing performance of a group of monolingual intermediate level adult students enrolled on a private…
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"What is relevant in a text document?": An interpretable machine learning approach.
Directory of Open Access Journals (Sweden)
Leila Arras
Full Text Available Text documents can be described by a number of abstract concepts such as semantic category, writing style, or sentiment. Machine learning (ML models have been trained to automatically map documents to these abstract concepts, allowing to annotate very large text collections, more than could be processed by a human in a lifetime. Besides predicting the text's category very accurately, it is also highly desirable to understand how and why the categorization process takes place. In this paper, we demonstrate that such understanding can be achieved by tracing the classification decision back to individual words using layer-wise relevance propagation (LRP, a recently developed technique for explaining predictions of complex non-linear classifiers. We train two word-based ML models, a convolutional neural network (CNN and a bag-of-words SVM classifier, on a topic categorization task and adapt the LRP method to decompose the predictions of these models onto words. Resulting scores indicate how much individual words contribute to the overall classification decision. This enables one to distill relevant information from text documents without an explicit semantic information extraction step. We further use the word-wise relevance scores for generating novel vector-based document representations which capture semantic information. Based on these document vectors, we introduce a measure of model explanatory power and show that, although the SVM and CNN models perform similarly in terms of classification accuracy, the latter exhibits a higher level of explainability which makes it more comprehensible for humans and potentially more useful for other applications.
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Clinical performance of an objective methodology to categorize tear film lipid layer patterns
Garcia-Resua, Carlos; Pena-Verdeal, Hugo; Giraldez, Maria J.; Yebra-Pimentel, Eva
2017-08-01
Purpose: To validate the performance of a new objective application designated iDEAS (Dry Eye Assessment System) to categorize different zones of lipid layer patterns (LLPs) in one image. Material and methods: Using the Tearscopeplus and a digital camera attached to a slit-lamp, 50 images were captured and analyzed by 4 experienced optometrists. In each image the observers outlined tear film zones that they clearly identified as a specific LLP. Further, the categorization made by the 4 optometrists (called observer 1, 2, 3 and 4) was compared with the automatic system included in iDEAS (5th observer). Results: In general, observer 3 classified worse than all observers (observers 1, 2, 4 and automatic application, Wilcoxon test, 0.05). Furthermore, we obtained a set of photographs per LLP category for which all optometrists showed agreement by using the new tool. After examining them, we detected the more characteristic features for each LLP to enhance the description of the patterns implemented by Guillon. Conclusions: The automatic application included in the iDEAS framework is able to provide zones similar to the annotations made by experienced optometrists. Thus, the manual process done by experts can be automated with the benefits of being unaffected by subjective factors.
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Directory of Open Access Journals (Sweden)
Slabá Marie
2015-09-01
Full Text Available With regard to changes in the environment of tertiary education and tertiary educational systems, universities are now unlikely to succeed as ‘separated closed’ institutions that are unresponsive to their environment and stakeholders. Stakeholder analysis is considered as an important part of university management and marketing and universities have to take care of key stakeholder groups and build long term relationships with them. This paper focuses on the stakeholder analysis and adopts the stake-holder theory and analysis for the needs of the Czech market of tertiary education. This paper analyses results of the author’s online questionnaire that provided the input for data analysis deploying basic descriptive analysis and first steps of stakeholder analysis – identification, categorization and prioritization. Results of author’s research show that there are only slight differences between public and private universities and their perspective concerning generic stakeholder groups of universities. However the research revealed two controversial stakeholder groups – donors and competitors. In comparison with other stakeholder groups perception of these two stakeholder groups by public and private universities is very different. Stakeholder groups of public and private universities were categorized into four basic groups - primary internal stakeholder groups, primary external stakeholder groups, secondary internal stakeholder groups, and secondary external stakeholder groups. Primary internal and external stakeholder groups which are crucial for survival of universities are the most important stakeholder groups for universities. The author identified ten most important stakeholder groups for public and private universities separately, based on assigned priorities that will be used for further research.
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Edwards, Darren J; Wood, Rodger
2016-01-01
This study explored over-selectivity (executive dysfunction) using a standard unsupervised categorization task. Over-selectivity has been demonstrated using supervised categorization procedures (where training is given); however, little has been done in the way of unsupervised categorization (without training). A standard unsupervised categorization task was used to assess levels of over-selectivity in a traumatic brain injury (TBI) population. Individuals with TBI were selected from the Tertiary Traumatic Brain Injury Clinic at Swansea University and were asked to categorize two-dimensional items (pictures on cards), into groups that they felt were most intuitive, and without any learning (feedback from experimenter). This was compared against categories made by a control group for the same task. The findings of this study demonstrate that individuals with TBI had deficits for both easy and difficult categorization sets, as indicated by a larger amount of one-dimensional sorting compared to control participants. Deficits were significantly greater for the easy condition. The implications of these findings are discussed in the context of over-selectivity, and the processes that underlie this deficit. Also, the implications for using this procedure as a screening measure for over-selectivity in TBI are discussed.
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Study on the task categorization of main control room in NPP
International Nuclear Information System (INIS)
Fang Zhou; Ma Zhicai; Ma Xusheng; Zheng Mingguang
2005-01-01
The paper states the importance and trendy requirements of Main Control Room (MCR) in nuclear power plant and introduces how to implement the human factor engineering principle in the design of advanced main control room. It mainly focuses on the purpose and functions, strategy and methodology, scope and contents of the MCR task categorization. The preliminary MCR task categorization is performed according to these principles. (authors)
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Ability to Categorize Food Predicts Hypothetical Food Choices in Head Start Preschoolers.
Nicholson, Jody S; Barton, Jennifer M; Simons, Ali L
2018-03-01
To investigate whether preschoolers are able to identify and categorize foods, and whether their ability to classify food as healthy predicts their hypothetical food choice. Structured interviews and body measurements with preschoolers, and teacher reports of classroom performance. Six Head Start centers in a large southeastern region. A total of 235 preschoolers (mean age [SD], 4.73 [0.63] years; 45.4% girls). Teachers implemented a nutrition education intervention across the 2014-2015 school year in which children were taught to identify and categorize food as sometimes (ie, unhealthy) and anytime (ie, healthy). Preschooler responses to a hypothetical snack naming, classifying, and selection scenario. Hierarchical regression analyses to examine predictors of child hypothetical food selection. While controlling for child characteristics and cognitive functioning, preschoolers who were better at categorizing food as healthy or unhealthy were more likely to say they would choose the healthy food. Low-contrast food pairs in which food had to be classified based on multiple dimensions were outside the cognitive abilities of the preschoolers. Nutrition interventions may be more effective in helping children make healthy food choices if developmental limitations in preschoolers' abilities to categorize food is addressed in their curriculum. Classification of food into evaluative categories is challenging for this age group. Categorizing on multiple dimensions is difficult, and dichotomous labeling of food as good or bad is not always accurate in directing children toward making food choices. Future research could evaluate further preschoolers' developmental potential for food categorization and nutrition decision making and consider factors that influence healthy food choices at both snack and mealtime. Copyright © 2017 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.
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Text Classification and Distributional features techniques in Datamining and Warehousing
Bethu, Srikanth; Babu, G Charless; Vinoda, J; Priyadarshini, E; rao, M Raghavendra
2013-01-01
Text Categorization is traditionally done by using the term frequency and inverse document frequency.This type of method is not very good because, some words which are not so important may appear in the document .The term frequency of unimportant words may increase and document may be classified in the wrong category.For reducing the error of classifying of documents in wrong category. The Distributional features are introduced. In the Distribuional Features, the Distribution of the words in ...
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The upgrade of the J-TEXT experimental data access and management system
International Nuclear Information System (INIS)
Yang, C.; Zhang, M.; Zheng, W.; Liu, R.; Zhuang, G.
2014-01-01
Highlights: • The J-TEXT DAMS is developed based on B/S model, which makes it conveniently access the system. • The JWeb-Scope adopts segment strategy to read data that improve the speed of reading data. • DAMS have integrated the management and JWeb-Scope and make an easy way for visitors to access the experiment data. • The JWeb-Scope can be visited all over the world, plot experiment data and zoom in or out smoothly. - Abstract: The experimental data of J-TEXT tokamak are stored in the MDSplus database. The old J-TEXT data access system is based on the tools provided by MDSplus. Since the number of signals is huge, the data retrieval for an experiment is difficult. To solve this problem, the J-TEXT experimental data access and management system (DAMS) based on MDSplus has been developed. The DAMS left the old MDSplus system unchanged providing new tools, which can help users to handle all signals as well as to retrieve signals they need thanks to the user information requirements. The DAMS also offers users a way to create their jScope configuration files which can be downloaded to the local computer. In addition, the DAMS provides a JWeb-Scope tool to visualize the signal in a browser. JWeb-Scope adopts segment strategy to read massive data efficiently. Users can plot one or more signals on their own choice and zoom-in, zoom-out smoothly. The whole system is based on B/S model, so that the users only need of the browsers to access the DAMS. The DAMS has been tested and it has a better user experience. It will be integrated into the J-TEXT remote participation system later
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Luo, Xiaochen; Donnellan, M Brent; Burt, S Alexandra; Klump, Kelly L
2016-07-01
Eating disorders are conceptualized as categorical rather than dimensional in the current major diagnostic system (Diagnostic and Statistical Manual of Mental Disorders; 5th ed.; American Psychiatric Association, 2013) and in many previous studies. However, previous research has not critically evaluated this assumption or tested hybrid models (e.g., modeling latent variables with both dimensional and categorical features). Accordingly, the current study directly compared categorical, dimensional, and hybrid models for eating pathology in a large, population-based sample. Participants included 3,032 female and male twins (ages 9-30 years) from the Michigan State University Twin Registry. The Minnesota Eating Behaviors Survey was used to assess disordered eating symptoms including body dissatisfaction, weight preoccupation, binge eating, and compensatory behaviors. Results showed that dimensional models best fit the data in the overall sample as well as across subgroups divided by sex and pubertal status (e.g., prepubertal vs. postpubertal). It is interesting to note that the results favored more categorical models when using a case-control subset of our sample with participants who either endorsed substantial eating pathology or no/little eating pathology. Overall, findings provide support for a dimensional conceptualization of eating pathology and underscore the importance of using community samples to capture the full range of severity of eating pathology when investigating questions about taxonomy. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
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Dual-mode nested search method for categorical uncertain multi-objective optimization
Tang, Long; Wang, Hu
2016-10-01
Categorical multi-objective optimization is an important issue involved in many matching design problems. Non-numerical variables and their uncertainty are the major challenges of such optimizations. Therefore, this article proposes a dual-mode nested search (DMNS) method. In the outer layer, kriging metamodels are established using standard regular simplex mapping (SRSM) from categorical candidates to numerical values. Assisted by the metamodels, a k-cluster-based intelligent sampling strategy is developed to search Pareto frontier points. The inner layer uses an interval number method to model the uncertainty of categorical candidates. To improve the efficiency, a multi-feature convergent optimization via most-promising-area stochastic search (MFCOMPASS) is proposed to determine the bounds of objectives. Finally, typical numerical examples are employed to demonstrate the effectiveness of the proposed DMNS method.
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Nuclear Fuel Assembly Assessment Project and Image Categorization
Energy Technology Data Exchange (ETDEWEB)
Lindsey, C.S.; Lindblad, T.; Waldemark, K. [Royal Inst. of Tech., Stockholm (Sweden); Hildingsson, Lars [Swedish Nuclear Power Inspectorate, Stockholm (Sweden)
1998-07-01
A project has been underway to add digital imaging and processing to the inspection of nuclear fuel by the International Atomic Energy Agency. The ultimate goals are to provide the inspector not only with the advantages of Ccd imaging, such as high sensitivity and digital image enhancements, but also with an intelligent agent that can analyze the images and provide useful information about the fuel assemblies in real time. The project is still in the early stages and several interesting sub-projects have been inspired. Here we give first a review of the work on the fuel assembly image analysis and then give a brief status report on one of these sub-projects that concerns automatic categorization of fuel assembly images. The technique could be of benefit to the general challenge of image categorization
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Decision-Tree Models of Categorization Response Times, Choice Proportions, and Typicality Judgments
Lafond, Daniel; Lacouture, Yves; Cohen, Andrew L.
2009-01-01
The authors present 3 decision-tree models of categorization adapted from T. Trabasso, H. Rollins, and E. Shaughnessy (1971) and use them to provide a quantitative account of categorization response times, choice proportions, and typicality judgments at the individual-participant level. In Experiment 1, the decision-tree models were fit to…
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Computer-aided System of Semantic Text Analysis of a Technical Specification
Zaboleeva-Zotova, Alla; Orlova, Yulia
2008-01-01
The given work is devoted to development of the computer-aided system of semantic text analysis of a technical specification. The purpose of this work is to increase efficiency of software engineering based on automation of semantic text analysis of a technical specification. In work it is offered and investigated the model of the analysis of the text of the technical project is submitted, the attribute grammar of a technical specification, intended for formalization of limited Ru...
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Evaluation and Classification of Syntax Usage in Determining Short-Text Semantic Similarity
Directory of Open Access Journals (Sweden)
V. Batanović
2014-06-01
Full Text Available This paper outlines and categorizes ways of using syntactic information in a number of algorithms for determining the semantic similarity of short texts. We consider the use of word order information, part-of-speech tagging, parsing and semantic role labeling. We analyze and evaluate the effects of syntax usage on algorithm performance by utilizing the results of a paraphrase detection test on the Microsoft Research Paraphrase Corpus. We also propose a new classification of algorithms based on their applicability to languages with scarce natural language processing tools.
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Expert and novice categorization of introductory physics problems
Wolf, Steven Frederick
Since it was first published 30 years ago, Chi et al.'s seminal paper on expert and novice categorization of introductory problems led to a plethora of follow-up studies within and outside of the area of physics [Chi et al. Cognitive Science 5, 121 -- 152 (1981)]. These studies frequently encompass "card-sorting" exercises whereby the participants group problems. The study firmly established the paradigm that novices categorize physics problems by "surface features" (e.g. "incline," "pendulum," "projectile motion,"... ), while experts use "deep structure" (e.g. "energy conservation," "Newton 2,"... ). While this technique certainly allows insights into problem solving approaches, simple descriptive statistics more often than not fail to find significant differences between experts and novices. In most experiments, the clean-cut outcome of the original study cannot be reproduced. Given the widespread implications of the original study, the frequent failure to reproduce its findings warrants a closer look. We developed a less subjective statistical analysis method for the card sorting outcome and studied how the "successful" outcome of the experiment depends on the choice of the original card set. Thus, in a first step, we are moving beyond descriptive statistics, and develop a novel microscopic approach that takes into account the individual identity of the cards and uses graph theory and models to visualize, analyze, and interpret problem categorization experiments. These graphs are compared macroscopically, using standard graph theoretic statistics, and microscopically, using a distance metric that we have developed. This macroscopic sorting behavior is described using our Cognitive Categorization Model. The microscopic comparison allows us to visualize our sorters using Principal Components Analysis and compare the expert sorters to the novice sorters as a group. In the second step, we ask the question: Which properties of problems are most important in problem
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Bayesian data fusion for spatial prediction of categorical variables in environmental sciences
Gengler, Sarah; Bogaert, Patrick
2014-12-01
First developed to predict continuous variables, Bayesian Maximum Entropy (BME) has become a complete framework in the context of space-time prediction since it has been extended to predict categorical variables and mixed random fields. This method proposes solutions to combine several sources of data whatever the nature of the information. However, the various attempts that were made for adapting the BME methodology to categorical variables and mixed random fields faced some limitations, as a high computational burden. The main objective of this paper is to overcome this limitation by generalizing the Bayesian Data Fusion (BDF) theoretical framework to categorical variables, which is somehow a simplification of the BME method through the convenient conditional independence hypothesis. The BDF methodology for categorical variables is first described and then applied to a practical case study: the estimation of soil drainage classes using a soil map and point observations in the sandy area of Flanders around the city of Mechelen (Belgium). The BDF approach is compared to BME along with more classical approaches, as Indicator CoKringing (ICK) and logistic regression. Estimators are compared using various indicators, namely the Percentage of Correctly Classified locations (PCC) and the Average Highest Probability (AHP). Although BDF methodology for categorical variables is somehow a simplification of BME approach, both methods lead to similar results and have strong advantages compared to ICK and logistic regression.
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Bayesian data fusion for spatial prediction of categorical variables in environmental sciences
International Nuclear Information System (INIS)
Gengler, Sarah; Bogaert, Patrick
2014-01-01
First developed to predict continuous variables, Bayesian Maximum Entropy (BME) has become a complete framework in the context of space-time prediction since it has been extended to predict categorical variables and mixed random fields. This method proposes solutions to combine several sources of data whatever the nature of the information. However, the various attempts that were made for adapting the BME methodology to categorical variables and mixed random fields faced some limitations, as a high computational burden. The main objective of this paper is to overcome this limitation by generalizing the Bayesian Data Fusion (BDF) theoretical framework to categorical variables, which is somehow a simplification of the BME method through the convenient conditional independence hypothesis. The BDF methodology for categorical variables is first described and then applied to a practical case study: the estimation of soil drainage classes using a soil map and point observations in the sandy area of Flanders around the city of Mechelen (Belgium). The BDF approach is compared to BME along with more classical approaches, as Indicator CoKringing (ICK) and logistic regression. Estimators are compared using various indicators, namely the Percentage of Correctly Classified locations (PCC) and the Average Highest Probability (AHP). Although BDF methodology for categorical variables is somehow a simplification of BME approach, both methods lead to similar results and have strong advantages compared to ICK and logistic regression
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`Membership Has Its Privileges': Status Incentives and Categorical Inequality in Education.
Domina, Thurston; Penner, Andrew M; Penner, Emily K
2016-05-01
Prizes - formal systems that publicly allocate rewards for exemplary behavior - play an increasingly important role in a wide array of social settings, including education. In this paper, we evaluate a prize system designed to boost achievement at two high schools by assigning students color-coded ID cards based on a previously low stakes test. Average student achievement on this test increased in the ID card schools beyond what one would expect from contemporaneous changes in neighboring schools. However, regression discontinuity analyses indicate that the program created new inequalities between students who received low-status and high-status ID cards. These findings indicate that status-based incentives create categorical inequalities between prize winners and others even as they reorient behavior toward the goals they reward.
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Cole, K. C.
2011-04-01
The artist Bob Miller liked to say that the worst disease afflicting humankind is ``hardening of the categories'' - the tendency to cram subjects into boxes labeled ``science,'' ``art,'' ``politics,'' ``economics,'' ``play'' - labels that are as outdated and meaningless as divisions between the colors on a continuous spectrum. Over the past 10 years, KC Cole has been organizing free form events that tear down these artificial barriers, and with intriguing results: actors gain insights into character from a topologist; a choreographer solves engineering problems through her knowledge of motion; neuroscientists learn about intuition from filmmakers and string theorists. Categorically Not! - as the series is called - is not (merely) an attempt to ``popularize'' science by looking at it through unlikely lenses, but a real exploration into the deep connections that both illuminate and energize all fields of study. It is a ``people's'' salon, free and open to the general public. Cole will talk about how she overcomes ``hardening of the categories'' not just through events, but also in her popular magazine and newspaper articles, books, radio commentaries, and teaching at USC's Annenberg School of Communication and Journalism.
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Indian accent text-to-speech system for web browsing
Indian Academy of Sciences (India)
This paper describes a 'web reader' which 'reads out' the textual contents of a selected web page in Hindi or in English with Indian accent. The content of the page is downloaded and parsed into suitable textual form. It is then passed on to an indigenously developed text-to-speech system for Hindi/Indian English, ...
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Sofer, Imri; Crouzet, Sébastien M.; Serre, Thomas
2015-01-01
Observers can rapidly perform a variety of visual tasks such as categorizing a scene as open, as outdoor, or as a beach. Although we know that different tasks are typically associated with systematic differences in behavioral responses, to date, little is known about the underlying mechanisms. Here, we implemented a single integrated paradigm that links perceptual processes with categorization processes. Using a large image database of natural scenes, we trained machine-learning classifiers to derive quantitative measures of task-specific perceptual discriminability based on the distance between individual images and different categorization boundaries. We showed that the resulting discriminability measure accurately predicts variations in behavioral responses across categorization tasks and stimulus sets. We further used the model to design an experiment, which challenged previous interpretations of the so-called “superordinate advantage.” Overall, our study suggests that observed differences in behavioral responses across rapid categorization tasks reflect natural variations in perceptual discriminability. PMID:26335683
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10 CFR Appendix M to Part 110 - Categorization of Nuclear Material d
2010-01-01
... 10 Energy 2 2010-01-01 2010-01-01 false Categorization of Nuclear Material d M Appendix M to Part 110 Energy NUCLEAR REGULATORY COMMISSION (CONTINUED) EXPORT AND IMPORT OF NUCLEAR EQUIPMENT AND MATERIAL Pt. 110, App. M Appendix M to Part 110—Categorization of Nuclear Material d [From IAEA INFCIRC/225...
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Neurophysiological Evidence for Categorical Perception of Color
Holmes, Amanda; Franklin, Anna; Clifford, Alexandra; Davies, Ian
2009-01-01
The aim of this investigation was to examine the time course and the relative contributions of perceptual and post-perceptual processes to categorical perception (CP) of color. A visual oddball task was used with standard and deviant stimuli from same (within-category) or different (between-category) categories, with chromatic separations for…
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Development of Abstract Grammatical Categorization in Infants
Cyr, Marilyn; Shi, Rushen
2013-01-01
This study examined abstract syntactic categorization in infants, using the case of grammatical gender. Ninety-six French-learning 14-, 17-, 20-, and 30-month-olds completed the study. In a preferential looking procedure infants were tested on their generalized knowledge of grammatical gender involving pseudonouns and gender-marking determiners.…
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Lick, David J; Johnson, Kerri L
2016-06-01
Perceivers achieve above chance accuracy judging others' sexual orientations, but they also exhibit a notable response bias by categorizing most targets as straight rather than gay. Although a straight categorization bias is evident in many published reports, it has never been the focus of systematic inquiry. The current studies therefore document this bias and test the mechanisms that produce it. Studies 1-3 revealed the straight categorization bias cannot be explained entirely by perceivers' attempts to match categorizations to the number of gay targets in a stimulus set. Although perceivers were somewhat sensitive to base rate information, their tendency to categorize targets as straight persisted when they believed each target had a 50% chance of being gay (Study 1), received explicit information about the base rate of gay targets in a stimulus set (Study 2), and encountered stimulus sets with varying base rates of gay targets (Study 3). The remaining studies tested an alternate mechanism for the bias based upon perceivers' use of gender heuristics when judging sexual orientation. Specifically, Study 4 revealed the range of gendered cues compelling gay judgments is smaller than the range of gendered cues compelling straight judgments despite participants' acknowledgment of equal base rates for gay and straight targets. Study 5 highlighted perceptual experience as a cause of this imbalance: Exposing perceivers to hyper-gendered faces (e.g., masculine men) expanded the range of gendered cues compelling gay categorizations. Study 6 linked this observation to our initial studies by demonstrating that visual exposure to hyper-gendered faces reduced the magnitude of the straight categorization bias. Collectively, these studies provide systematic evidence of a response bias in sexual orientation categorization and offer new insights into the mechanisms that produce it. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
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Wilson, Sandra R; Fink, Arlene; Verghese, Shinu; Beck, John C; Nguyen, Khue; Lavori, Philip
2007-03-01
To evaluate a new alcohol-related risk score for research use. Using data from a previously reported trial of a screening and education system for older adults (Computerized Alcohol-Related Problems Survey), secondary analyses were conducted comparing the ability of two different measures of risk to detect post-intervention group differences: the original categorical outcome measure and a new, finely grained quantitative risk score based on the same research-based risk factors. Three primary care group practices in southern California. Six hundred sixty-five patients aged 65 and older. A previously calculated, three-level categorical classification of alcohol-related risk and a newly developed quantitative risk score. Mean post-intervention risk scores differed between the three experimental conditions: usual care, patient report, and combined report (Ptrinary risk classification. The additional clinical value of the risk score relative to the categorical measure needs to be determined.
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Czech Academy of Sciences Publication Activity Database
Novovičová, Jana
č. 62 (2005), s. 53-54 ISSN 0926-4981 R&D Projects: GA AV ČR IAA2075302; GA AV ČR KSK1019101; GA MŠk 1M0572 Institutional research plan: CEZ:AV0Z10750506 Keywords : document representation * categorization * classification Subject RIV: BD - Theory of Information
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Vanmarcke, Steven; Calders, Filip; Wagemans, Johan
2016-01-01
Although categorization can take place at different levels of abstraction, classic studies on semantic labeling identified the basic level, for example, dog, as entry point for categorization. Ultrarapid categorization tasks have contradicted these findings, indicating that participants are faster at detecting superordinate-level information, for example, animal, in a complex visual image. We argue that both seemingly contradictive findings can be reconciled within the framework of parallel distributed processing and its successor Leabra (Local, Error-driven and Associative, Biologically Realistic Algorithm). The current study aimed at verifying this prediction in an ultrarapid categorization task with a dynamically changing presentation time (PT) for each briefly presented object, followed by a perceptual mask. Furthermore, we manipulated two defining task variables: level of categorization (basic vs. superordinate categorization) and object presentation mode (object-in-isolation vs. object-in-context). In contradiction with previous ultrarapid categorization research, focusing on reaction time, we used accuracy as our main dependent variable. Results indicated a consistent superordinate processing advantage, coinciding with an overall improvement in performance with longer PT and a significantly more accurate detection of objects in isolation, compared with objects in context, at lower stimulus PT. This contextual disadvantage disappeared when PT increased, indicating that figure-ground separation with recurrent processing is vital for meaningful contextual processing to occur.
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Banno, Hayaki; Saiki, Jun
2015-03-01
Recent studies have sought to determine which levels of categories are processed first in visual scene categorization and have shown that the natural and man-made superordinate-level categories are understood faster than are basic-level categories. The current study examined the robustness of the superordinate-level advantage in a visual scene categorization task. A go/no-go categorization task was evaluated with response time distribution analysis using an ex-Gaussian template. A visual scene was categorized as either superordinate or basic level, and two basic-level categories forming a superordinate category were judged as either similar or dissimilar to each other. First, outdoor/ indoor groups and natural/man-made were used as superordinate categories to investigate whether the advantage could be generalized beyond the natural/man-made boundary. Second, a set of images forming a superordinate category was manipulated. We predicted that decreasing image set similarity within the superordinate-level category would work against the speed advantage. We found that basic-level categorization was faster than outdoor/indoor categorization when the outdoor category comprised dissimilar basic-level categories. Our results indicate that the superordinate-level advantage in visual scene categorization is labile across different categories and category structures. © 2015 SAGE Publications.
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Marian, Anil A; Dexter, Franklin; Tucker, Peter; Todd, Michael M
2012-05-29
Anesthesia information management system (AIMS) records should be designed and configured to facilitate the accurate and prompt recording of multiple drugs administered coincidentally or in rapid succession. We proposed two touch-screen display formats for use with our department's new EPIC touch-screen AIMS. In one format, medication "buttons" were arranged in alphabetical order (i.e. A-C, D-H etc.). In the other, buttons were arranged in categories (Common, Fluids, Cardiovascular, Coagulation etc.). Both formats were modeled on an iPad screen to resemble the AIMS interface. Anesthesia residents, anesthesiologists, and Certified Registered Nurse Anesthetists (n = 60) were then asked to find and touch the correct buttons for a series of medications whose names were displayed to the side of the entry screen. The number of entries made within 2 minutes was recorded. This was done 3 times for each format, with the 1st format chosen randomly. Data were analyzed from the third trials with each format to minimize differences in learning. The categorical format had a mean of 5.6 more drugs entered using the categorical method in two minutes than the alphabetical format (95% confidence interval [CI] 4.5 to 6.8, P < 0.0001). The findings were the same regardless of the order of testing (i.e. alphabetical-categorical vs. categorical - alphabetical) and participants' years of clinical experience. Most anesthesia providers made no (0) errors for most trials (N = 96/120 trials, lower 95% limit 73%, P < 0.0001). There was no difference in error rates between the two formats (P = 0.53). The use of touch-screen user interfaces in healthcare is increasingly common. Arrangement of drugs names in a categorical display format in the medication order-entry touch screen of an AIMS can result in faster data entry compared to an alphabetical arrangement of drugs. Results of this quality improvement project were used in our department's design of our final intraoperative electronic
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CAI System with Multi-Media Text Through Web Browser for NC Lathe Programming
Mizugaki, Yoshio; Kikkawa, Koichi; Mizui, Masahiko; Kamijo, Keisuke
A new Computer Aided Instruction (CAI) system for NC lathe programming has been developed with use of multi-media texts including movies, animations, pictures, sound and texts through Web browser. Although many CAI systems developed previously for NC programming consist of text-based instructions, it is difficult for beginners to learn NC programming with use of them. In the developed CAI system, multi-media texts are adopted for the help of users' understanding, and it is available through Web browser anytime and anywhere. Also the error log is automatically recorded for the future references. According to the NC programming coded by a user, the movement of the NC lathe is animated and shown in the monitor screen in front of the user. If its movement causes the collision between a cutting tool and the lathe, some sound and the caution remark are generated. If the user makes mistakes some times at a certain stage in learning NC, the corresponding suggestion is shown in the form of movies, animations, and so forth. By using the multimedia texts, users' attention is kept concentrated during a training course. In this paper, the configuration of the CAI system is explained and the actual procedures for users to learn the NC programming are also explained too. Some beginners tested this CAI system and their results are illustrated and discussed from the viewpoint of the efficiency and usefulness of this CAI system. A brief conclusion is also mentioned.
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Mapping the emotional landscape: The role of specific emotions in conceptual categorization.
Zhu, Nan; Cai, Yong-hua; Sun, Fa-wei; Yang-yang, Yi-fan
2015-07-01
Although researchers generally subscribe to the opinion that emotions play a critical role in cognition, very few (see Niedenthal, Halberstadt, & Innes-Ker, 1999) have examined the specific interaction between the emotional state of the perceiver and the emotional meaning of stimuli in conceptual categorization - an important aspect of "higher-level" cognition. Niedenthal et al. (1999) advanced a fine-grained theory of emotional response categorization, arguing that emotional states increase the tendency to categorize concepts into a predictable set of emotional response categories characterized by the common, distinct emotional responses elicited by the concepts. Based on the pioneering work of Niedenthal et al., we further argued that (1) the specific emotion experienced by the individual should selectively facilitate the categorization of concepts associated with the same emotion, (2) both in terms of category inclusion and category exclusion, and (3) this facilitation effect should not be contingent on the awareness of the emotional state. In three experiments, participants were induced to experience different emotional states through movies or a facial-feedback manipulation. They judged whether or not a target concept belonged to the same category as the two comparison concepts. Some of the concept triads shared emotional associations, while others didn't. Results showed that emotive participants had a greater tendency than those in a neutral mood to group concepts according to their emotional associations, and to distinguish concepts with different emotional associations. They were also more efficient in categorizing concepts that had specific emotional meaning corresponding to their own emotional state than to other emotional concepts. Furthermore, participants posing a disgust expression without their knowledge showed higher tendency to categorize concepts according to their relevance to disgust. Implications and potential applications of the findings were
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On the Adequacy of Current Empirical Evaluations of Formal Models of Categorization
Wills, Andy J.; Pothos, Emmanuel M.
2012-01-01
Categorization is one of the fundamental building blocks of cognition, and the study of categorization is notable for the extent to which formal modeling has been a central and influential component of research. However, the field has seen a proliferation of noncomplementary models with little consensus on the relative adequacy of these accounts.…
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Trophic categorization in the Rías Baixas (NW Spain: nutrients in water and in macroalgae
Directory of Open Access Journals (Sweden)
Rubén Villares
2006-03-01
Full Text Available Marine eutrophication caused by an excess supply of nutrients is a serious problem in many coastal areas throughout the world. In the present study we used the capacity of macroalgae (Ulva and Enteromorpha to integrate the nutrient regime of a water body in order to examine the trophic categorization in the embayments studied. We found that the trophic categorization established based on nutrient levels in macroalgae differed from that established based on concentrations in the water. The waters of the innermost areas of the inlets were the most nutrient enriched; the algae appeared to be more affected by specific local conditions and did not display the gradient of decreasing nutrient concentrations from inner to outer areas that was observed in the water samples. The lack of correspondence between nutrients in the water and in the algae in the present study may have been due to the heterogeneous nutrient conditions found in coastal areas, so that the intertidal algae did not adequately reflect the nutrient levels of the inner zones of the embayments under study.
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Two-categorical bundles and their classifying spaces
DEFF Research Database (Denmark)
Baas, Nils A.; Bökstedt, M.; Kro, T.A.
2012-01-01
-category is a classifying space for the associated principal 2-bundles. In the process of proving this we develop a lot of powerful machinery which may be useful in further studies of 2-categorical topology. As a corollary we get a new proof of the classification of principal bundles. A calculation based...
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Categorical perception of a natural, multivariate signal: Mating call recognition in túngara frogs
Baugh, A. T.; Akre, K. L.; Ryan, M. J.
2008-01-01
Categorical perception is common in humans, but it is not known whether animals perceive continuous variation in their own multidimensional social signals categorically. There are two components to categorical perception: labeling and discrimination. In the first, continuously variable stimuli on each side of a category boundary are labeled. In the second, there is strong discrimination between stimuli from opposite sides of the boundary, whereas stimuli on the same side of the boundary are n...
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Using ontology network structure in text mining.
Berndt, Donald J; McCart, James A; Luther, Stephen L
2010-11-13
Statistical text mining treats documents as bags of words, with a focus on term frequencies within documents and across document collections. Unlike natural language processing (NLP) techniques that rely on an engineered vocabulary or a full-featured ontology, statistical approaches do not make use of domain-specific knowledge. The freedom from biases can be an advantage, but at the cost of ignoring potentially valuable knowledge. The approach proposed here investigates a hybrid strategy based on computing graph measures of term importance over an entire ontology and injecting the measures into the statistical text mining process. As a starting point, we adapt existing search engine algorithms such as PageRank and HITS to determine term importance within an ontology graph. The graph-theoretic approach is evaluated using a smoking data set from the i2b2 National Center for Biomedical Computing, cast as a simple binary classification task for categorizing smoking-related documents, demonstrating consistent improvements in accuracy.
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Cross-language similarity and difference in quantity categorization of Finnish and Japanese
DEFF Research Database (Denmark)
Yoshida, Kenji; J de Jong, Kenneth; Kruschke, John K
2015-01-01
quantity categorization was conducted with 22 Finnish and 20 Japanese listeners, using natural speech stimuli with systematically manipulated closure durations. Stimuli were created from Finnish and Japanese productions of both long and short plosives. In the naturally produced stimuli, the duration...... to be language specific, and such durational differences may interfere with categorization in an unfamiliar language....
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Directory of Open Access Journals (Sweden)
Gabriel Córdova Duarte
2012-02-01
Full Text Available Buscando determinar las categorías utilizadas en los procesos de autoevaluación de las Instituciones de Educación Agrícola Superior, se desarrolló el presente trabajo de tipo cualitativo, durante abril y mayo del 2004, mediante una comparación de las categorías establecidas por el Comité de Ciencias Agropecuarias, de los Comités Interinstitucionales para la Evaluación de la Educación Superior, con las de otros autores, habiéndose podido comprobar que todas las proposiciones son incompletas y que se requiere ampliar el número de categorías para que la autoevaluación sea más integral y cumpla con su objetivo de mejorar la calidad educativa. Searching in order to determine the categories used in the program evaluation processes of the Agricultural Institutions of Higher Education, gave way to the present qualitative type work developed during April and May of the 2004 by comparing the established categories proposed by the Committee on Animal and Forest Sciences of the Inter-institutional Committee for the Evaluation of Higher education and those of other authors. It was verified that all the categories proposed are incomplete and they need to be expanded so that the program evaluation process will be more integral and fulfil its goal of improving the quality of education.
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Indexation automatique des textes arabes : état de l’art
Directory of Open Access Journals (Sweden)
Mohamed Salim El Bazzi
2016-11-01
Full Text Available Document indexing is a crucial step in the text mining process. It is used to represent documents by the most relevant descriptors of their contents. Several approaches are proposed in the literature, particularly for English, but they are unusable for Arabic documents, considering its specific characteristics and its morphological complexity, grammar and vocabulary. In this paper, we present a reading in the state of the art of indexation methods and their contribution to improve Arabic document’s processing. We also propose a categorization of works according to the most used approaches and methods for indexing textual documents. We adopted a qualitative selection of papers and we retained papers approving notable indexation contributions and illustrating significant results
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Energy Technology Data Exchange (ETDEWEB)
Silva, Fabio; Tello, Cledola Cassia Oliveira de, E-mail: silvaf@cdtn.b, E-mail: tellocc@cdtn.b [Centro de Desenvolvimento da Tecnologia Nuclear (CDTN/CNEN-MG), Belo Horizonte, MG (Brazil)
2011-10-26
Radioactive sources have wide application, in the medicine, industry, agriculture and in the research centers. After the use those sources are considered radioactive wastes and conducted to the CNEN research institutes, that have the legal responsibility to receive and control. The safe attribution of wasted sources is essential for minimizing the possibility oc accident occurrence. The data of the stored sources in the CDTN are included and processed in the data bank SISFONT - Sistema de Informacoes sobre Fontes Seladas Fora de Uso, but this system does not allow their categorization. For that, a efficient, precise and easy interaction categorization system was developed
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Cloutier, Jasmin; Freeman, Jonathan B; Ambady, Nalini
2014-01-01
Early perceptual operations are central components of the dynamics of social categorization. The wealth of information provided by facial cues presents challenges to our understanding of these early stages of person perception. The current study aimed to uncover the dynamics of processing multiply categorizable faces, notably as a function of their gender and age. Using a modified four-choice version of a mouse-tracking paradigm (which assesses the relative dominance of two categorical dimensions), the relative influence that sex and age have on each other during categorization of infant, younger adult, and older adult faces was investigated. Results of these experiments demonstrate that when sex and age dimensions are simultaneously categorized, only for infant faces does age influence sex categorization. In contrast, the sex of both young and older adults was shown to influence age categorization. The functional implications of these findings are discussed in light of previous person perception research.
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Directory of Open Access Journals (Sweden)
José Alejandro Álvarez Gutiérrez
2007-12-01
Full Text Available Se realizó un estudio de carácter descriptivo, longitudinal y retrospectivo a los atletas de boxeo de todas las categorías de edades en Pinar del Río en el período comprendido de enero del 2005 a enero del 2006 con el objetivo de conocer las lesiones más frecuentes que los afectaron. Se encontró como la categoría de edad más afectada la social con 172 lesiones para el 54.2 % del total, se comprobó que las lesiones traumáticas eran superiores a las no traumáticas en la mayoría de las categorías de edades, excepto en la pioneril y la estudiantil. Dentro de las categorías estudiantil y juvenil las lesiones en la cara fueron las significativas, siendo las del aparato motor en la social, se relacionaron las principales causas en las categorías más afectadas Se arribó a conclusiones y se dieron recomendaciones.
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A Text-Independent Speaker Authentication System for Mobile Devices
Directory of Open Access Journals (Sweden)
Florentin Thullier
2017-09-01
Full Text Available This paper presents a text independent speaker authentication method adapted to mobile devices. Special attention was placed on delivering a fully operational application, which admits a sufficient reliability level and an efficient functioning. To this end, we have excluded the need for any network communication. Hence, we opted for the completion of both the training and the identification processes directly on the mobile device through the extraction of linear prediction cepstral coefficients and the naive Bayes algorithm as the classifier. Furthermore, the authentication decision is enhanced to overcome misidentification through access privileges that the user should attribute to each application beforehand. To evaluate the proposed authentication system, eleven participants were involved in the experiment, conducted in quiet and noisy environments. Public speech corpora were also employed to compare this implementation to existing methods. Results were efficient regarding mobile resources’ consumption. The overall classification performance obtained was accurate with a small number of samples. Then, it appeared that our authentication system might be used as a first security layer, but also as part of a multilayer authentication, or as a fall-back mechanism.
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Ecological dynamics of continuous and categorical decision-making: the regatta start in sailing.
Araújo, Duarte; Davids, Keith; Diniz, Ana; Rocha, Luis; Santos, João Coelho; Dias, Gonçalo; Fernandes, Orlando
2015-01-01
Ecological dynamics of decision-making in the sport of sailing exemplifies emergent, conditionally coupled, co-adaptive behaviours. In this study, observation of the coupling dynamics of paired boats during competitive sailing showed that decision-making can be modelled as a self-sustained, co-adapting system of informationally coupled oscillators (boats). Bytracing the spatial-temporal displacements of the boats, time series analyses (autocorrelations, periodograms and running correlations) revealed that trajectories of match racing boats are coupled more than 88% of the time during a pre-start race, via continuous, competing co-adaptions between boats. Results showed that both the continuously selected trajectories of the sailors (12 years of age) and their categorical starting point locations were examples of emergent decisions. In this dynamical conception of decision-making behaviours, strategic positioning (categorical) and continuous displacement of a boat over the course in match-race sailing emerged as a function of interacting task, personal and environmental constraints. Results suggest how key interacting constraints could be manipulated in practice to enhance sailors' perceptual attunement to them in competition.
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Categorizing words through semantic memory navigation
Borge-Holthoefer, J.; Arenas, A.
2010-03-01
Semantic memory is the cognitive system devoted to storage and retrieval of conceptual knowledge. Empirical data indicate that semantic memory is organized in a network structure. Everyday experience shows that word search and retrieval processes provide fluent and coherent speech, i.e. are efficient. This implies either that semantic memory encodes, besides thousands of words, different kind of links for different relationships (introducing greater complexity and storage costs), or that the structure evolves facilitating the differentiation between long-lasting semantic relations from incidental, phenomenological ones. Assuming the latter possibility, we explore a mechanism to disentangle the underlying semantic backbone which comprises conceptual structure (extraction of categorical relations between pairs of words), from the rest of information present in the structure. To this end, we first present and characterize an empirical data set modeled as a network, then we simulate a stochastic cognitive navigation on this topology. We schematize this latter process as uncorrelated random walks from node to node, which converge to a feature vectors network. By doing so we both introduce a novel mechanism for information retrieval, and point at the problem of category formation in close connection to linguistic and non-linguistic experience.
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Energy Technology Data Exchange (ETDEWEB)
Keller, Paul E.
2012-04-26
This report summarizes a study into some false positive issues in the use of radioxenon as a method to verify a clandestine nuclear weapons explosion. False positives arise due to similarities between the radioxenon signature generated in medical isotope production and that generated in a nuclear weapon explosion. This report also discusses how to categorize the radioxenon by levels of urgency for manual analysis and interpretation and recommends applying machine learning and time series analysis techniques in the automation of radioxenon characterization. The literature indicates that medical isotope production is a major contributor to atmospheric radioxenon and is the main source of confusion in determining the source of radioxenon. While radioxenon emissions from nuclear power plants can be distinguished from that from nuclear weapon explosions, emissions from medical isotope production generate signatures similar to certain nuclide ratios found in nuclear weapons explosions. Different techniques for analyzing nuclide concentrations and ratios as well as including other sensing modalities via sensor fusion are discussed.
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Ahmed, Lubna
2018-03-01
The ability to correctly interpret facial expressions is key to effective social interactions. People are well rehearsed and generally very efficient at correctly categorizing expressions. However, does their ability to do so depend on how cognitively loaded they are at the time? Using repeated-measures designs, we assessed the sensitivity of facial expression categorization to cognitive resources availability by measuring people's expression categorization performance during concurrent low and high cognitive load situations. In Experiment1, participants categorized the 6 basic upright facial expressions in a 6-automated-facial-coding response paradigm while maintaining low or high loading information in working memory (N = 40; 60 observations per load condition). In Experiment 2, they did so for both upright and inverted faces (N = 46; 60 observations per load and inversion condition). In both experiments, expression categorization for upright faces was worse during high versus low load. Categorization rates actually improved with increased load for the inverted faces. The opposing effects of cognitive load on upright and inverted expressions are explained in terms of a cognitive load-related dispersion in the attentional window. Overall, the findings support that expression categorization is sensitive to cognitive resources availability and moreover suggest that, in this paradigm, it is the perceptual processing stage of expression categorization that is affected by cognitive load. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
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Konstantinidis, Spyridon; Titchener-Hooker, Nigel; Velayudhan, Ajoy
2017-08-01
Bioprocess development studies often involve the investigation of numerical and categorical inputs via the adoption of Design of Experiments (DoE) techniques. An attractive alternative is the deployment of a grid compatible Simplex variant which has been shown to yield optima rapidly and consistently. In this work, the method is combined with dummy variables and it is deployed in three case studies wherein spaces are comprised of both categorical and numerical inputs, a situation intractable by traditional Simplex methods. The first study employs in silico data and lays out the dummy variable methodology. The latter two employ experimental data from chromatography based studies performed with the filter-plate and miniature column High Throughput (HT) techniques. The solute of interest in the former case study was a monoclonal antibody whereas the latter dealt with the separation of a binary system of model proteins. The implemented approach prevented the stranding of the Simplex method at local optima, due to the arbitrary handling of the categorical inputs, and allowed for the concurrent optimization of numerical and categorical, multilevel and/or dichotomous, inputs. The deployment of the Simplex method, combined with dummy variables, was therefore entirely successful in identifying and characterizing global optima in all three case studies. The Simplex-based method was further shown to be of equivalent efficiency to a DoE-based approach, represented here by D-Optimal designs. Such an approach failed, however, to both capture trends and identify optima, and led to poor operating conditions. It is suggested that the Simplex-variant is suited to development activities involving numerical and categorical inputs in early bioprocess development. © 2017 The Authors. Biotechnology Journal published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
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Automatic activation of categorical and abstract analogical relations in analogical reasoning.
Green, Adam E; Fugelsang, Jonathan A; Dunbar, Kevin N
2006-10-01
We examined activation of concepts during analogical reasoning. Subjects made either analogical judgments or categorical judgments about four-word sets. After each four-word set, they named the ink color of a single word in a modified Stroop task. Words that referred to category relations were primed (as indicated by longer response times on Stroop color naming) subsequent to analogical judgments and categorical judgments. This finding suggests that activation of category concepts plays a fundamental role in analogical thinking. When colored words referred to analogical relations, priming occurred subsequent to analogical judgments, but not to categorical judgments, even though identical four-word stimuli were used for both types of judgments. This finding lends empirical support to the hypothesis that, when people comprehend the analogy between two items, they activate an abstract analogical relation that is distinct from the specific content items that compose the analogy.
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ERP characterization of sustained attention effects in visual lexical categorization.
Directory of Open Access Journals (Sweden)
Clara D Martin
Full Text Available As our understanding of the basic processes underlying reading is growing, the key role played by attention in this process becomes evident. Two research topics are of particular interest in this domain: (1 it is still undetermined whether sustained attention affects lexical decision tasks; (2 the influence of attention on early visual processing (i.e., before orthographic or lexico-semantic processing stages remains largely under-specified. Here we investigated early perceptual modulations by sustained attention using an ERP paradigm adapted from Thierry et al. [1]. Participants had to decide whether visual stimuli presented in pairs pertained to a pre-specified category (lexical categorization focus on word or pseudoword pairs. Depending on the lexical category of the first item of a pair, participants either needed to fully process the second item (hold condition or could release their attention and make a decision without full processing of the second item (release condition. The P1 peak was unaffected by sustained attention. The N1 was delayed and reduced after the second item of a pair when participants released their attention. Release of sustained attention also reduced a P3 wave elicited by the first item of a pair and abolished the P3 wave elicited by the second. Our results are consistent with differential effects of sustained attention on early processing stages and working memory. Sustained attention modulated early processing stages during a lexical decision task without inhibiting the process of stimulus integration. On the contrary, working memory involvement/updating was highly dependent upon the allocation of sustained attention. Moreover, the influence of sustained attention on both early and late cognitive processes was independent of lexical categorization focus.
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Text Mining for Information Systems Researchers: An Annotated Topic Modeling Tutorial
DEFF Research Database (Denmark)
Debortoli, Stefan; Müller, Oliver; Junglas, Iris
2016-01-01
, such as manual coding. Yet, the size of text data setsobtained from the Internet makes manual analysis virtually impossible. In this tutorial, we discuss the challengesencountered when applying automated text-mining techniques in information systems research. In particular, weshowcase the use of probabilistic...... researchers,this tutorial provides some guidance for conducting text mining studies on their own and for evaluating the quality ofothers.......t is estimated that more than 80 percent of today’s data is stored in unstructured form (e.g., text, audio, image, video);and much of it is expressed in rich and ambiguous natural language. Traditionally, the analysis of natural languagehas prompted the use of qualitative data analysis approaches...
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Gibson, Margaret F
2018-01-01
How are lesbian/gay/bisexual/trans/queer (LGBTQ) parents of children with disabilities categorized by service providers, and how do parents anticipate, interpret, and respond to such categorizations? This intersectional study investigated the experiences of LGBTQ parents of children with disabilities with service providers in Toronto, Canada. Parents described pressures to "fit" into providers' limited understanding of family. Some parents described facing overt discrimination, including one parent who was seen as a possible sexual predator. Some described being perceived as representatives of "diversity" for organizations, or "pet lesbians" in the words of one couple. Others described being misread as a non-parent, as in "just the nanny," particularly in conjunction with their racial minority status. Parents described how their experiences of being "outside the mainstream" helped them challenge systems and normative beliefs. Findings suggest that a context of scarce disability resources shapes parents' experiences of how LGBTQ identity comes to matter.
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Motives for Volunteering: Categorization of Volunteers' Motivations Using Open-ended Questions
Directory of Open Access Journals (Sweden)
Fernando Chacón
2010-12-01
Full Text Available Most studies of volunteers’ motivations use standardized questionnaires with one of the most commonly-used being the Volunteer Function Inventory. Open-ended questions about what drives individuals to be volunteers are seldom used. We hypothesize that questionnaires tend to overestimate the number of motivations and to underestimate their variety. Therefore, in this paper we analyze the answers of 1515 volunteers to an open-ended question and categorize these answers. Results show that volunteers give an average of 2 motivations, fewer than the questionnaires, and that the Value motivation is the most frequently mentioned and the most important for volunteers. In addition, this motivation coexists with other motivations, which are lacking in the standard questionnaires, such as Organizational Commitment, Personal Development, Religiosity, Social Change or Interest in the Activity.
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Directory of Open Access Journals (Sweden)
Sonia Catrina
2012-04-01
Full Text Available As a pejorative or disparaging differentiation, discrimination points to exclusions, borders or the closure of the social world. Such negative behaviour towards „the other(s” is the effect of a fixed social identity (social categorization, according to which people express stereotypes (beliefs or prejudices (attitudes. The core of the present article is formed by these elements conjoined with the generic term „discrimination”. Therefore, this article is an analysis of the processes of maintaining discrimination-(reproducing boundaries.
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Mintz, Toben H; Wang, Felix Hao; Li, Jia
2014-12-01
Grammatical categories, such as noun and verb, are the building blocks of syntactic structure and the components that govern the grammatical patterns of language. However, in many languages words are not explicitly marked with their category information, hence a critical part of acquiring a language is categorizing the words. Computational analyses of child-directed speech have shown that distributional information-information about how words pattern with one another in sentences-could be a useful source of initial category information. Yet questions remain as to whether learners use this kind of information, and if so, what kinds of distributional patterns facilitate categorization. In this paper we investigated how adults exposed to an artificial language use distributional information to categorize words. We compared training situations in which target words occurred in frames (i.e., surrounded by two words that frequently co-occur) against situations in which target words occurred in simpler bigram contexts (where an immediately adjacent word provides the context for categorization). We found that learners categorized words together when they occurred in similar frame contexts, but not when they occurred in similar bigram contexts. These findings are particularly relevant because they accord with computational investigations showing that frame contexts provide accurate category information cross-linguistically. We discuss these findings in the context of prior research on distribution-based categorization and the broader implications for the role of distributional categorization in language acquisition. Copyright © 2014 Elsevier Inc. All rights reserved.
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Categorical Regression and Benchmark Dose Software 3.0
The objective of this full-day course is to provide participants with interactive training on the use of the U.S. Environmental Protection Agency’s (EPA) Benchmark Dose software (BMDS, version 3.0, released fall 2018) and Categorical Regression software (CatReg, version 3.1...
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A Self-Categorization Explanation for Opinion Consensus Perceptions
Zhang, Jinguang; Reid, Scott A.
2013-01-01
The public expression of opinions (and related communicative activities) hinges upon the perception of opinion consensus. Current explanations for opinion consensus perceptions typically focus on egocentric and other biases, rather than functional cognitions. Using self-categorization theory we showed that opinion consensus perceptions flow from…
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Significance of categorization and the modeling of age related factors for radiation protection
International Nuclear Information System (INIS)
Matsuoka, Osamu
1987-01-01
It is proposed that the categorization and modelling are necessary with regard to age related factors of radionuclide metabolism for the radiation protection of the public. In order to utilize the age related information as a model for life time risk estimate of public, it is necessary to generalize and simplify it according to the categorized model patterns. Since the patterns of age related changes in various parameters of radionuclide metabolism seem to be rather simple, it is possible to categorize them into eleven types of model patterns. Among these models, five are selected as positively significant models to be considered. Examples are shown as to the fitting of representative parameters of both physiological and metabolic parameter of radionuclides into the proposed model. The range of deviation from adult standard value is also analyzed for each model. The fitting of each parameter to categorized models, and its comparative consideration provide the effective information as to the physiological basis of radionuclide metabolism. Discussions are made on the problems encountered in the application of available age related information to radiation protection of the public, i.e. distribution of categorized parameter, period of life covered, range of deviation from adult value, implication to other dosimetric and pathological models and to the final estimation. 5 refs.; 3 figs.; 4 tabs
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Shankar, Swetha; Kayser, Andrew S
2017-06-01
To date it has been unclear whether perceptual decision making and rule-based categorization reflect activation of similar cognitive processes and brain regions. On one hand, both map potentially ambiguous stimuli to a smaller set of motor responses. On the other hand, decisions about perceptual salience typically concern concrete sensory representations derived from a noisy stimulus, while categorization is typically conceptualized as an abstract decision about membership in a potentially arbitrary set. Previous work has primarily examined these types of decisions in isolation. Here we independently varied salience in both the perceptual and categorical domains in a random dot-motion framework by manipulating dot-motion coherence and motion direction relative to a category boundary, respectively. Behavioral and modeling results suggest that categorical (more abstract) information, which is more relevant to subjects' decisions, is weighted more strongly than perceptual (more concrete) information, although they also have significant interactive effects on choice. Within the brain, BOLD activity within frontal regions strongly differentiated categorical salience and weakly differentiated perceptual salience; however, the interaction between these two factors activated similar frontoparietal brain networks. Notably, explicitly evaluating feature interactions revealed a frontal-parietal dissociation: parietal activity varied strongly with both features, but frontal activity varied with the combined strength of the information that defined the motor response. Together, these data demonstrate that frontal regions are driven by decision-relevant features and argue that perceptual decisions and rule-based categorization reflect similar cognitive processes and activate similar brain networks to the extent that they define decision-relevant stimulus-response mappings. NEW & NOTEWORTHY Here we study the behavioral and neural dynamics of perceptual categorization when
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Basic-level and superordinate-like categorical representations in early infancy.
Behl-Chadha, G
1996-08-01
A series of experiments using the paired-preference procedure examined 3- to 4-month-old infants' ability to form perceptually based categorical representations in the domains of natural kinds and artifacts and probed the underlying organizational structure of these representations. Experiments 1 and 2 found that infants could form categorical representations for chairs that excluded exemplars of couches, beds, and tables and also for couches that excluded exemplars of chairs, beds, and tables. Thus, the adult-like exclusivity shown by infants in the categorization of various animal pictures at the basic-level extends to the domain of artifacts as well--an ecologically significant ability given the numerous artifacts that populate the human environment. Experiments 3 and 4 examined infants' ability to form superordinate-like or global categorical representations for mammals and furniture. It was found that infants could form a global representation for mammals that included novel mammals and excluded other non-mammalian animals such as birds and fish as well as items from cross-ontological categories such as furniture. In addition, it was found that infants formed a representation for furniture that included novel categories of furniture and excluded exemplars from the cross-ontological category of mammals; however, it was less clear if infants' global representation for furniture also excluded other artifacts such as vehicles and thus the category of furniture may have been less exclusively represented. Overall, the present findings, by showing the availability of perceptually driven basic and superordinate-like representations in early infancy that closely correspond to adult conceptual categories, underscore the importance of these early representations for later conceptual representations.
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Categorization of aortic aneurysm thrombus morphology by magnetic resonance imaging
Energy Technology Data Exchange (ETDEWEB)
Motte, Louise de la, E-mail: louise.de.la.motte@rh.regionh.dk [Department of Vascular Surgery, Rigshospitalet and University of Copenhagen (Denmark); Pedersen, Mads Møller, E-mail: phd@medit.dk [Department of Radiology, Rigshospitalet and University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen (Denmark); Thomsen, Carsten, E-mail: carsten.thomsen@rh.regionh.dk [Department of Radiology, Rigshospitalet and University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen (Denmark); Vogt, Katja, E-mail: Vogt@dadlnet.dk [Department of Vascular Surgery, Rigshospitalet and University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen (Denmark); Schroeder, Torben V., E-mail: Torben.Veith.schroeder@rh.regionh.dk [Department of Vascular Surgery, Rigshospitalet and University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen (Denmark); Lonn, Lars, E-mail: lonn.lars@gmail.com [Department of Vascular Surgery and Department of Radiology, Rigshospitalet and University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen (Denmark)
2013-10-01
Background: Magnetic resonance imaging (MRI) has been proposed for qualitative categorization of intraluminal thrombus morphology. We aimed to correlate the qualitative MRI categorization previously described to quantitative measurements of signal intensity and to compare morphological characteristics of intraluminal thrombus specimens to the appearance on magnetic resonance imaging. Methods: Thirty-four patients undergoing open surgery for abdominal aortic aneurysm had a preoperative MRI obtained with a 1.5 T magnet. Qualitative categorization was performed (blinded and in consensus) and correlated to intraluminal thrombus to muscle signal-intensity ratios. Morphology of intraluminal thrombus specimens collected during surgery were compared to the magnetic resonance imaging categories and specimen weight was correlated to thrombus volume measured on preoperative computer tomography angiography. Results: Blinded MRI categorization resulted in agreement in 22 out of 34 intraluminal thrombi (Kappa value 0.3, p = 0.006). Medians (p = 0.004) and distribution (p = 0.002) of signal-intensity ratios varied significantly across the three MRI categories obtained by consensus. Heterogeneous and homogenous specimen appearance corresponded to similar appearances on MRI in 78% and 55% respectively, resulting in an overall Kappa = 0.4 (p = 0.04). Intraluminal thrombus volume and weight correlated well (r{sub s} 0.831, p < 0.001) with a mean difference of 60 g (95% CI 38–80 g), without proportional bias. Conclusion: Qualitative evaluation of intraluminal thrombus morphology based on MRI can be quantified by measuring signal-intensity ratios. Concurrently a fair agreement to blinded qualitative evaluation of thrombus specimens can be obtained. However, the evaluation is impaired by loss of a large proportion of thrombus during sampling.
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Categorization of aortic aneurysm thrombus morphology by magnetic resonance imaging
International Nuclear Information System (INIS)
Motte, Louise de la; Pedersen, Mads Møller; Thomsen, Carsten; Vogt, Katja; Schroeder, Torben V.; Lonn, Lars
2013-01-01
Background: Magnetic resonance imaging (MRI) has been proposed for qualitative categorization of intraluminal thrombus morphology. We aimed to correlate the qualitative MRI categorization previously described to quantitative measurements of signal intensity and to compare morphological characteristics of intraluminal thrombus specimens to the appearance on magnetic resonance imaging. Methods: Thirty-four patients undergoing open surgery for abdominal aortic aneurysm had a preoperative MRI obtained with a 1.5 T magnet. Qualitative categorization was performed (blinded and in consensus) and correlated to intraluminal thrombus to muscle signal-intensity ratios. Morphology of intraluminal thrombus specimens collected during surgery were compared to the magnetic resonance imaging categories and specimen weight was correlated to thrombus volume measured on preoperative computer tomography angiography. Results: Blinded MRI categorization resulted in agreement in 22 out of 34 intraluminal thrombi (Kappa value 0.3, p = 0.006). Medians (p = 0.004) and distribution (p = 0.002) of signal-intensity ratios varied significantly across the three MRI categories obtained by consensus. Heterogeneous and homogenous specimen appearance corresponded to similar appearances on MRI in 78% and 55% respectively, resulting in an overall Kappa = 0.4 (p = 0.04). Intraluminal thrombus volume and weight correlated well (r s 0.831, p < 0.001) with a mean difference of 60 g (95% CI 38–80 g), without proportional bias. Conclusion: Qualitative evaluation of intraluminal thrombus morphology based on MRI can be quantified by measuring signal-intensity ratios. Concurrently a fair agreement to blinded qualitative evaluation of thrombus specimens can be obtained. However, the evaluation is impaired by loss of a large proportion of thrombus during sampling
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Measuring Vocational Preferences: Ranking versus Categorical Rating Procedures.
Carifio, James
1978-01-01
Describes a study to compare the relative validities of ranking v categorical rating procedures for obtaining student vocational preference data in exploratory program assignment situations. Students indicated their vocational program preferences from career clusters, and the frequency of wrong assignments made by each method was analyzed. (MF)
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Similar Task Features Shape Judgment and Categorization Processes
Hoffmann, Janina A.; von Helversen, Bettina; Rieskamp, Jörg
2016-01-01
The distinction between similarity-based and rule-based strategies has instigated a large body of research in categorization and judgment. Within both domains, the task characteristics guiding strategy shifts are increasingly well documented. Across domains, past research has observed shifts from rule-based strategies in judgment to…
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Categorical Perception of Affective and Linguistic Facial Expressions
McCullough, Stephen; Emmorey, Karen
2009-01-01
Two experiments investigated categorical perception (CP) effects for affective facial expressions and linguistic facial expressions from American Sign Language (ASL) for Deaf native signers and hearing non-signers. Facial expressions were presented in isolation (Experiment 1) or in an ASL verb context (Experiment 2). Participants performed ABX…
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PASTE: patient-centered SMS text tagging in a medication management system.
Stenner, Shane P; Johnson, Kevin B; Denny, Joshua C
2012-01-01
To evaluate the performance of a system that extracts medication information and administration-related actions from patient short message service (SMS) messages. Mobile technologies provide a platform for electronic patient-centered medication management. MyMediHealth (MMH) is a medication management system that includes a medication scheduler, a medication administration record, and a reminder engine that sends text messages to cell phones. The object of this work was to extend MMH to allow two-way interaction using mobile phone-based SMS technology. Unprompted text-message communication with patients using natural language could engage patients in their healthcare, but presents unique natural language processing challenges. The authors developed a new functional component of MMH, the Patient-centered Automated SMS Tagging Engine (PASTE). The PASTE web service uses natural language processing methods, custom lexicons, and existing knowledge sources to extract and tag medication information from patient text messages. A pilot evaluation of PASTE was completed using 130 medication messages anonymously submitted by 16 volunteers via a website. System output was compared with manually tagged messages. Verified medication names, medication terms, and action terms reached high F-measures of 91.3%, 94.7%, and 90.4%, respectively. The overall medication name F-measure was 79.8%, and the medication action term F-measure was 90%. Other studies have demonstrated systems that successfully extract medication information from clinical documents using semantic tagging, regular expression-based approaches, or a combination of both approaches. This evaluation demonstrates the feasibility of extracting medication information from patient-generated medication messages.
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Systems for Teaching Complex Texts: A Proof-of-Concept Investigation
Fisher, Douglas; Frey, Nancy
2016-01-01
In this article we investigate the systems that need to be in place for students to learn from increasingly complex texts. Our concept, drawn from past research, includes clear learning targets, teacher modeling, collaborative conversations, close reading, small group reading, and wide reading. Using a "proof of concept" model, we follow…
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Design and application of an EPICS compatible slow plant system controller in J-TEXT tokamak
Energy Technology Data Exchange (ETDEWEB)
Zhang, J.; Zhang, M. [State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074 (China); College of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074 (China); Zheng, W., E-mail: zhengwei@hust.edu.cn [State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074 (China); College of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074 (China); Zhuang, G.; Ding, T. [State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074 (China); College of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074 (China)
2014-05-15
Highlights: • Underlying functionalities are encapsulated into plug-and-play modules. • The slow controller is EPICS compatible. • The slow controller can work as PSH. - Abstract: J-TEXT tokamak has recently implemented J-TEXT COntrol, Data Access and Communication (CODAC) system on the principle of ITER CODAC. The control network in J-TEXT CODAC system is based on Experimental Physics and Industrial Control System (EPICS). However, former slow plant system controllers in J-TEXT did not support EPICS. Therefore, J-TEXT has designed an EPICS compatible slow controller. And moreover, the slow controller also acts the role of Plant System Host (PSH), which helps non-EPICS controllers to keep working in J-TEXT CODAC system. The basic functionalities dealing with user defined tasks have been modularized into driver or plug-in modules, which are plug-and-play and configured with XML files according to specific control task. In this case, developers are able to implement various kinds of control tasks with these reusable modules, regardless of how the lower-lever functions are implemented, and mainly focusing on control algorithm. And it is possible to develop custom-built modules by themselves. This paper presents design of the slow controller. Some applications of the slow controller have been deployed in J-TEXT, and will be introduced in this paper.
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Design and application of an EPICS compatible slow plant system controller in J-TEXT tokamak
International Nuclear Information System (INIS)
Zhang, J.; Zhang, M.; Zheng, W.; Zhuang, G.; Ding, T.
2014-01-01
Highlights: • Underlying functionalities are encapsulated into plug-and-play modules. • The slow controller is EPICS compatible. • The slow controller can work as PSH. - Abstract: J-TEXT tokamak has recently implemented J-TEXT COntrol, Data Access and Communication (CODAC) system on the principle of ITER CODAC. The control network in J-TEXT CODAC system is based on Experimental Physics and Industrial Control System (EPICS). However, former slow plant system controllers in J-TEXT did not support EPICS. Therefore, J-TEXT has designed an EPICS compatible slow controller. And moreover, the slow controller also acts the role of Plant System Host (PSH), which helps non-EPICS controllers to keep working in J-TEXT CODAC system. The basic functionalities dealing with user defined tasks have been modularized into driver or plug-in modules, which are plug-and-play and configured with XML files according to specific control task. In this case, developers are able to implement various kinds of control tasks with these reusable modules, regardless of how the lower-lever functions are implemented, and mainly focusing on control algorithm. And it is possible to develop custom-built modules by themselves. This paper presents design of the slow controller. Some applications of the slow controller have been deployed in J-TEXT, and will be introduced in this paper
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THE DYNAMICS OF THE CONCEPTUALIZATION AND CATEGORIZATION OF SPACE IN THE RUSSIAN LANGUAGE
Directory of Open Access Journals (Sweden)
Tatyana Romanova
2013-04-01
Full Text Available This article presents examples taken from the National corpus of Russian language dictionaries which illustrate the objectification of space in the linguistic picture of the world. The examined data, taken from linguistic dictionaries and encyclopaedic sources, allow the dynamics of the process of conceptualization and peculiarities of the categorization of space in the Russian-language mentality to be identified, and verify the formed hypotheses. The formats of the conceptualization of space (starting from an image and mental picture to the notion of frame and the language dynamics of the objectification of these formats are discussed. Examples from dictionaries of the National Russian Corpora illustrate the objectification of the language world map most vividly. The analysed data from the linguistic dictionaries and encyclopaedic sources prove the working hypothesis by defining the set of attributes which define the concept SPACE, the dynamics of the conceptualization process, and peculiarities of the categorizatition of space in the Russian language mind. The conclusion is drawn that the concept SPACE is an integrated, multiple-aspect, conceptional compound which is connected with the categorization of reality. The basis of the categorization of space is the prototypical approach. In the Russian language world map, the prototype of SPACE is FIELD. Numerous new attributes of the word space show the broadening of the human idea about this universal phenomenon, which is already considered to be not only a form of substance existence, but also one of many forms of spiritual activities. The method of identifying the conceptional attributes is conceptually definitional analysis. Multidirectional tendencies to both widening and narrowing areas of space conceptualization were found, together with the tendency to integrate different formation-spaces.
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Diesendruck, Gil; Peretz, Shimon
2013-01-01
Visual appearance is one of the main cues children rely on when categorizing novel objects. In 3 studies, testing 128 3-year-olds and 192 5-year-olds, we investigated how various kinds of information may differentially lead children to overlook visual appearance in their categorization decisions across domains. Participants saw novel animals or…
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Latitude Reduction Based on Gender Categorization and Gender Stereotypes
DEFF Research Database (Denmark)
Skewes, Lea
This dissertation consists of four articles; two articles which apply experimental methodologies from social psychology, and two articles which apply queer theory. These two different methodologies are applied in order to uncover different kinds of asymmetrical power relations driven by sex/gender...... to take a step back from our sex/gender categories, and unveil which effects categorizing by sex/gender has on people who are considered unintelligible by the categories. Therefore, this language philosophical perspective offers tools to analyse non-binary sexed/gendered people, and the sex/gender...... categorization. The social psychology methodology is applied in order to capture fundamental psychological mechanism at play in patriarchal society – striving to unveil gender inequalities between the binary categories of men and women. The queer theoretical meta-perspective is applied in order to allow us...
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Directory of Open Access Journals (Sweden)
B Nicole Reyes
Full Text Available Emotion recognition is important for social interaction and communication, yet previous research has identified a cross-cultural emotion recognition deficit: Recognition is less accurate for emotions expressed by individuals from a cultural group different than one's own. The current study examined whether social categorization based on race, in the absence of cultural differences, influences emotion recognition in a diverse context. South Asian and White Canadians in the Greater Toronto Area completed an emotion recognition task that required them to identify the seven basic emotional expressions when posed by members of the same two groups, allowing us to tease apart the contributions of culture and social group membership. Contrary to our hypothesis, there was no mutual in-group advantage in emotion recognition: Participants were not more accurate at recognizing emotions posed by their respective racial in-groups. Both groups were more accurate at recognizing expressions when posed by South Asian faces, and White participants were more accurate overall compared to South Asian participants. These results suggest that in a diverse environment, categorization based on race alone does not lead to the creation of social out-groups in a way that negatively impacts emotion recognition.
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Dyslexia Limits the Ability to Categorize Talker Dialect
Long, Gayle Beam; Fox, Robert Allen; Jacewicz, Ewa
2016-01-01
Purpose: The purpose of this study was to determine whether the underlying phonological impairment in dyslexia is associated with a deficit in categorizing regional dialects. Method: Twenty adults with dyslexia, 20 school-age children with dyslexia, and 40 corresponding control listeners with average reading ability listened to sentences produced…
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Categorization and Analysis of Explanatory Writing in Mathematics
Craig, Tracy S.
2011-01-01
The aim of this article is to present a scheme for coding and categorizing students' written explanations of mathematical problem-solving activities. The scheme was used successfully within a study project carried out to determine whether student problem-solving behaviour could be positively affected by writing explanatory strategies to…
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Wiese, Holger; Schweinberger, Stefan R; Neumann, Markus F
2008-11-01
We used repetition priming to investigate implicit and explicit processes of unfamiliar face categorization. During prime and test phases, participants categorized unfamiliar faces according to either age or gender. Faces presented at test were either new or primed in a task-congruent (same task during priming and test) or incongruent (different tasks) condition. During age categorization, reaction times revealed significant priming for both priming conditions, and event-related potentials yielded an increased N170 over the left hemisphere as a result of priming. During gender categorization, congruent faces elicited priming and a latency decrease in the right N170. Accordingly, information about age is extracted irrespective of processing demands, and priming facilitates the extraction of feature information reflected in the left N170 effect. By contrast, priming of gender categorization may depend on whether the task at initial presentation requires configural processing.
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Identifying nurses' rewards: a qualitative categorization study in Belgium
Directory of Open Access Journals (Sweden)
Du Bois Cindy
2006-07-01
Full Text Available Abstract Background Rewards are important in attracting, motivating and retaining the most qualified employees, and nurses are no exception to this rule. This makes the establishment of an efficient reward system for nurses a true challenge for every hospital manager. A reward does not necessarily have a financial connotation: non-financial rewards may matter too, or may even be more important. Therefore, the present study examines nurses' reward perceptions, in order to identify potential reward options. Methods To answer the research question "What do nurses consider a reward and how can these rewards be categorized?", 20 in-depth semi-structured interviews with nurses were conducted and analysed using discourse and content analyses. In addition, the respondents received a list of 34 rewards (derived from the literature and were asked to indicate the extent to which they perceived each of them to be rewarding. Results Discourse analysis revealed three major reward categories: financial, non-financial and psychological, each containing different subcategories. In general, nurses more often mentioned financial rewards spontaneously in the interview, compared to non-financial and psychological rewards. The questionnaire results did not, however, indicate a significant difference in the rewarding potential of these three categories. Both the qualitative and quantitative data revealed that a number of psychological and non-financial rewards were important for nurses in addition to their monthly pay and other remunerations. In particular, appreciation for their work by others, compliments from others, presents from others and contact with patients were highly valued. Moreover, some demographical variables influenced the reward perceptions. Younger and less experienced nurses considered promotion possibilities as more rewarding than the older and more senior ones. The latter valued job security and working for a hospital with a good reputation higher
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Enhanced HMAX model with feedforward feature learning for multiclass categorization
Directory of Open Access Journals (Sweden)
Yinlin eLi
2015-10-01
Full Text Available In recent years, the interdisciplinary research between neuroscience and computer vision has promoted the development in both fields. Many biologically inspired visual models are proposed, and among them, the Hierarchical Max-pooling model (HMAX is a feedforward model mimicking the structures and functions of V1 to posterior inferotemporal (PIT layer of the primate visual cortex, which could generate a series of position- and scale- invariant features. However, it could be improved with attention modulation and memory processing, which are two important properties of the primate visual cortex. Thus, in this paper, based on recent biological research on the primate visual cortex, we still mimic the first 100-150 milliseconds of visual cognition to enhance the HMAX model, which mainly focuses on the unsupervised feedforward feature learning process. The main modifications are as follows: 1 To mimic the attention modulation mechanism of V1 layer, a bottom-up saliency map is computed in the S1 layer of the HMAX model, which can support the initial feature extraction for memory processing; 2 To mimic the learning, clustering and short-term memory to long-term memory conversion abilities of V2 and IT, an unsupervised iterative clustering method is used to learn clusters with multiscale middle level patches, which are taken as long-term memory; 3 Inspired by the multiple feature encoding mode of the primate visual cortex, information including color, orientation, and spatial position are encoded in different layers of the HMAX model progressively. By adding a softmax layer at the top of the model, multiclass categorization experiments can be conducted, and the results on Caltech101 show that the enhanced model with a smaller memory size exhibits higher accuracy than the original HMAX model, and could also achieve better accuracy than other unsupervised feature learning methods in multiclass categorization task.
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Assessing Expertise in Introductory Physics Using Categorization Task
Mason, Andrew; Singh, Chandralekha
2011-01-01
The ability to categorize problems based upon underlying principles, rather than surface features or contexts, is considered one of several proxy predictors of expertise in problem solving. With inspiration from the classic study by Chi, Feltovich, and Glaser, we assess the distribution of expertise among introductory physics students by asking…
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Tourist Satisfaction and Destination Loyalty intention: A Structural and Categorical Analysis
Directory of Open Access Journals (Sweden)
Guerreiro, M.
2006-01-01
Full Text Available This study explores the relationship between travel satisfaction and destination loyalty intention. The research was conducted with 486 tourists visiting Arade, a Portuguese tourist destination. Taking as the basis the use of structural equation modelling (SEM, the results substantiate the importance of tourism satisfaction as a determinant of destination loyalty. Also, a categorical principal components analysis (CATPCA provides a detailed analysis of this cause-effect relationship by establishing that greater levels of satisfaction (measured by overall satisfaction in terms of holiday experience, destination ttributes and met expectations result in increased likelihood of future repeat visits and a keen willingness to recommend the destination to others. Clusters of tourists were also identified and characterized in relation to satisfaction levels and loyalty intentions. These analyses provide a useful background in the planning of future tourist marketing strategies.
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SYSTEM «PlagiarismControl» AS THE TOOL FOR THE EXPERTISE OF THE TEXT DOCUMENTS
Directory of Open Access Journals (Sweden)
Yu. B. Krapivin
2018-01-01
Full Text Available The description and the operability analysis of the implemented instrumental software system «PlagiarismControl» has been done. The system affords to automatize solving the task of the identification of the adopted fragments in the given text document both from the local full-text user’s database and from the Internet. The system affords solving the task taking in account explicit as well as implicit adoptions with precision up to lexical units paradigms and both lexical and grammatical synonymy relations, according to the structural-functional schematic diagram of the system of the automatic recognition of reproduced fragments of the text documents. «PlagiarismControl» is able to work in different modes, to automatize the work of the expert and to speed up significantly the procedure of the analysis of the documents, with the purpose of recognition of the adoptions (plagiarism from other text documents.
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PathText: a text mining integrator for biological pathway visualizations
Kemper, Brian; Matsuzaki, Takuya; Matsuoka, Yukiko; Tsuruoka, Yoshimasa; Kitano, Hiroaki; Ananiadou, Sophia; Tsujii, Jun'ichi
2010-01-01
Motivation: Metabolic and signaling pathways are an increasingly important part of organizing knowledge in systems biology. They serve to integrate collective interpretations of facts scattered throughout literature. Biologists construct a pathway by reading a large number of articles and interpreting them as a consistent network, but most of the models constructed currently lack direct links to those articles. Biologists who want to check the original articles have to spend substantial amounts of time to collect relevant articles and identify the sections relevant to the pathway. Furthermore, with the scientific literature expanding by several thousand papers per week, keeping a model relevant requires a continuous curation effort. In this article, we present a system designed to integrate a pathway visualizer, text mining systems and annotation tools into a seamless environment. This will enable biologists to freely move between parts of a pathway and relevant sections of articles, as well as identify relevant papers from large text bases. The system, PathText, is developed by Systems Biology Institute, Okinawa Institute of Science and Technology, National Centre for Text Mining (University of Manchester) and the University of Tokyo, and is being used by groups of biologists from these locations. Contact: brian@monrovian.com. PMID:20529930
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Cluo: Web-Scale Text Mining System For Open Source Intelligence Purposes
Directory of Open Access Journals (Sweden)
Przemyslaw Maciolek
2013-01-01
Full Text Available The amount of textual information published on the Internet is considered tobe in billions of web pages, blog posts, comments, social media updates andothers. Analyzing such quantities of data requires high level of distribution –both data and computing. This is especially true in case of complex algorithms,often used in text mining tasks.The paper presents a prototype implementation of CLUO – an Open SourceIntelligence (OSINT system, which extracts and analyzes significant quantitiesof openly available information.
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Automatic categorization of web pages and user clustering with mixtures of hidden Markov models
Ypma, A.; Heskes, T.M.; Zaiane, O.R.; Srivastav, J.
2003-01-01
We propose mixtures of hidden Markov models for modelling clickstreams of web surfers. Hence, the page categorization is learned from the data without the need for a (possibly cumbersome) manual categorization. We provide an EM algorithm for training a mixture of HMMs and show that additional static