AcquisitionFootprintAttenuationDrivenbySeismicAttributes

Directory of Open Access Journals (Sweden)

Cuellar-Urbano Mayra

2014-04-01

Full Text Available Acquisition footprint, one of the major problems that PEMEX faces in seismic imaging, is noise highly correlated to the geometric array of sources and receivers used for onshore and offshore seismic acquisitions. It prevails in spite of measures taken during acquisition and data processing. This pattern, throughout the image, is easily confused with geological features and misguides seismic attribute computation. In this work, we use seismic data from PEMEX Exploración y Producción to show the conditioning process for removing random and coherent noise using linear filters. Geometric attributes used in a workflow were computed for obtaining an acquisition footprint noise model and adaptively subtract it from the seismic data.

Finger vein recognition based on the hyperinformation feature

Science.gov (United States)

Xi, Xiaoming; Yang, Gongping; Yin, Yilong; Yang, Lu

2014-01-01

The finger vein is a promising biometric pattern for personal identification due to its advantages over other existing biometrics. In finger vein recognition, feature extraction is a critical step, and many feature extraction methods have been proposed to extract the gray, texture, or shape of the finger vein. We treat them as low-level features and present a high-level feature extraction framework. Under this framework, base attribute is first defined to represent the characteristics of a certain subcategory of a subject. Then, for an image, the correlation coefficient is used for constructing the high-level feature, which reflects the correlation between this image and all base attributes. Since the high-level feature can reveal characteristics of more subcategories and contain more discriminative information, we call it hyperinformation feature (HIF). Compared with low-level features, which only represent the characteristics of one subcategory, HIF is more powerful and robust. In order to demonstrate the potential of the proposed framework, we provide a case study to extract HIF. We conduct comprehensive experiments to show the generality of the proposed framework and the efficiency of HIF on our databases, respectively. Experimental results show that HIF significantly outperforms the low-level features.

Ensemble attribute profile clustering: discovering and characterizing groups of genes with similar patterns of biological features

Directory of Open Access Journals (Sweden)

Bissell MJ

2006-03-01

Full Text Available Abstract Background Ensemble attribute profile clustering is a novel, text-based strategy for analyzing a user-defined list of genes and/or proteins. The strategy exploits annotation data present in gene-centered corpora and utilizes ideas from statistical information retrieval to discover and characterize properties shared by subsets of the list. The practical utility of this method is demonstrated by employing it in a retrospective study of two non-overlapping sets of genes defined by a published investigation as markers for normal human breast luminal epithelial cells and myoepithelial cells. Results Each genetic locus was characterized using a finite set of biological properties and represented as a vector of features indicating attributes associated with the locus (a gene attribute profile. In this study, the vector space models for a pre-defined list of genes were constructed from the Gene Ontology (GO terms and the Conserved Domain Database (CDD protein domain terms assigned to the loci by the gene-centered corpus LocusLink. This data set of GO- and CDD-based gene attribute profiles, vectors of binary random variables, was used to estimate multiple finite mixture models and each ensuing model utilized to partition the profiles into clusters. The resultant partitionings were combined using a unanimous voting scheme to produce consensus clusters, sets of profiles that co-occured consistently in the same cluster. Attributes that were important in defining the genes assigned to a consensus cluster were identified. The clusters and their attributes were inspected to ascertain the GO and CDD terms most associated with subsets of genes and in conjunction with external knowledge such as chromosomal location, used to gain functional insights into human breast biology. The 52 luminal epithelial cell markers and 89 myoepithelial cell markers are disjoint sets of genes. Ensemble attribute profile clustering-based analysis indicated that both lists

: Light Steering Projection Systems and Attributes for HDR Displays

KAUST Repository

Damberg, Gerwin

2017-06-02

New light steering projectors in cinema form images by moving light away from dark regions into bright areas of an image. In these systems, the peak luminance of small features can far exceed full screen white luminance. In traditional projectors where light is filtered or blocked in order to give shades of gray (or colors), the peak luminance is fixed. The luminance of chromatic features benefit in the same way as white features, and chromatic image details can be reproduced at high brightness leading to a much wider overall color gamut coverage than previously possible. Projectors of this capability are desired by the creative community to aid in and enhance storytelling. Furthermore, reduced light source power requirements of light steering projectors provide additional economic and environmental benefits. While the dependency of peak luminance level on (bright) image feature size is new in the digital cinema space, display technologies with identical characteristics such as OLED, LED LCD and Plasma TVs are well established in the home. Similarly, direct view LED walls are popular in events, advertising and architectural markets. To enable consistent color reproduction across devices in today’s content production pipelines, models that describe modern projectors and display attributes need to evolve together with HDR standards and available metadata. This paper is a first step towards rethinking legacy display descriptors such as contrast, peak luminance and color primaries in light of new display technology. We first summarize recent progress in the field of light steering projectors in cinema and then, based on new projector and existing display characteristics propose the inclusion of two simple display attributes: Maximum Average Luminance and Peak (Color) Primary Luminance. We show that the proposed attributes allow a better prediction of content reproducibility on HDR displays. To validate this assertion, we test professional content on a commercial HDR

Case-based reasoning diagnostic technique based on multi-attribute similarity

Energy Technology Data Exchange (ETDEWEB)

Makoto, Takahashi [Tohoku University, Miyagi (Japan); Akio, Gofuku [Okayama University, Okayamaa (Japan)

2014-08-15

Case-based diagnostic technique has been developed based on the multi-attribute similarity. Specific feature of the developed system is to use multiple attributes of process signals for similarity evaluation to retrieve a similar case stored in a case base. The present technique has been applied to the measurement data from Monju with some simulated anomalies. The results of numerical experiments showed that the present technique can be utilizes as one of the methods for a hybrid-type diagnosis system.

A Feature Subset Selection Method Based On High-Dimensional Mutual Information

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Chee Keong Kwoh

2011-04-01

Full Text Available Feature selection is an important step in building accurate classifiers and provides better understanding of the data sets. In this paper, we propose a feature subset selection method based on high-dimensional mutual information. We also propose to use the entropy of the class attribute as a criterion to determine the appropriate subset of features when building classifiers. We prove that if the mutual information between a feature set X and the class attribute Y equals to the entropy of Y , then X is a Markov Blanket of Y . We show that in some cases, it is infeasible to approximate the high-dimensional mutual information with algebraic combinations of pairwise mutual information in any forms. In addition, the exhaustive searches of all combinations of features are prerequisite for finding the optimal feature subsets for classifying these kinds of data sets. We show that our approach outperforms existing filter feature subset selection methods for most of the 24 selected benchmark data sets.

Digital soil mapping using remote sensing indices, terrain attributes, and vegetation features in the rangelands of northeastern Iran.

Science.gov (United States)

Mahmoudabadi, Ebrahim; Karimi, Alireza; Haghnia, Gholam Hosain; Sepehr, Adel

2017-09-11

Digital soil mapping has been introduced as a viable alternative to the traditional mapping methods due to being fast and cost-effective. The objective of the present study was to investigate the capability of the vegetation features and spectral indices as auxiliary variables in digital soil mapping models to predict soil properties. A region with an area of 1225 ha located in Bajgiran rangelands, Khorasan Razavi province, northeastern Iran, was chosen. A total of 137 sampling sites, each containing 3-5 plots with 10-m interval distance along a transect established based on randomized-systematic method, were investigated. In each plot, plant species names and numbers as well as vegetation cover percentage (VCP) were recorded, and finally one composite soil sample was taken from each transect at each site (137 soil samples in total). Terrain attributes were derived from a digital elevation model, different bands and spectral indices were obtained from the Landsat7 ETM+ images, and vegetation features were calculated in the plots, all of which were used as auxiliary variables to predict soil properties using artificial neural network, gene expression programming, and multivariate linear regression models. According to R 2 RMSE and MBE values, artificial neutral network was obtained as the most accurate soil properties prediction function used in scorpan model. Vegetation features and indices were more effective than remotely sensed data and terrain attributes in predicting soil properties including calcium carbonate equivalent, clay, bulk density, total nitrogen, carbon, sand, silt, and saturated moisture capacity. It was also shown that vegetation indices including NDVI, SAVI, MSAVI, SARVI, RDVI, and DVI were more effective in estimating the majority of soil properties compared to separate bands and even some soil spectral indices.

Object attributes combine additively in visual search

OpenAIRE

Pramod, R. T.; Arun, S. P.

2016-01-01

We perceive objects as containing a variety of attributes: local features, relations between features, internal details, and global properties. But we know little about how they combine. Here, we report a remarkably simple additive rule that governs how these diverse object attributes combine in vision. The perceived dissimilarity between two objects was accurately explained as a sum of (a) spatially tuned local contour-matching processes modulated by part decomposition; (b) differences in in...

Morphosemantic Attributes of Meetei Proverbs

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Lourembam Surjit Singh

2015-06-01

Full Text Available This study proposes to investigate the functions of morphosemantic in Meetei proverbs, particularly the attribution of different meanings of the lexical items in Meetei Proverbial verbs. Meetei society has been using proverbs in the all ages, stages of development, social changes, and cultural diversifications to mark their wisdom of social expertise. Meetei used proverbs as an important aspect of verbal discourses within the socio-cultural and ethno-civilization contexts in which skills, knowledge, ideas, emotion, and experiences are communicating. The language used in proverbs reflects the Meetei’s status of life, food habits, belief systems, philosophy, cultural and social orientations. At the same time, various meanings attribute in Meetei proverbs in the forms of figurative, witty, pithy, didactic etc. The construction of these forms are grammatically insightful thereby creating spaces for a whole range of possibilities for investigating the features, functions and structure of verbal inflectional markers occurred in Meetei proverbial sentences. Keywords: Proverbs, morphosemantics, features of lexical items, attributes of meanings and language

[Attributes and features of a community health model from the perspective of practitioners].

Science.gov (United States)

Dois, Angelina; Bravo, Paulina; Soto, Gabriela

2017-07-01

The Family and Community Health Model is based on three essential principles: user-centered care, comprehensive care and continuity of care. To describe the attributes and characteristics of the guiding principles of the Family and Community Health Model (FHM) from the perspective of primary care experts. This was a qualitative study. An electronic Delphi was conducted with 29 national experts on primary care. The experts agree that user centered care must be based on a psycho-social model integrating the multiple factors that influence health problems. It also must integrate patients' individual features, family and environmental issues. The proposed actions promote shared decision making. To promote integral care, anticipatory guidelines should be expanded and health care of patients with chronic conditions should be improved. Continuity of care should be promoted increasing working hours of medical centers and easing access to integrated electronic medical records, thereby generating efficient links between the different care levels. The results of the study can guide the clinical and administrative management of health teams, allowing the strengthening of primary health care according to the local realities.

Use of seismic attributes for sediment classification

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Fabio Radomille Santana

2015-04-01

Full Text Available A study to understand the relationships between seismic attributes extracted from 2D high-resolution seismic data and the seafloor's sediments of the surveyed area. As seismic attributes are features highly influenced by the medium through which the seismic waves are propagated, the authors can assume that it would be possible to characterise the geological nature of the seafloor by using these attributes. Herein, a survey was performed on the continental margin of the South Shetland Islands in Antarctica, where both 2D high-resolution seismic data and sediment gravity cores samples were simultaneously acquired. A computational script was written to extract the seismic attributes from the data, which have been statistically analysed with clustering analyses, such as principal components analysis, dendrograms and k-means classification. The extracted seismic attributes are the amplitude, the instantaneous phase, the instantaneous frequency, the envelope, the time derivative of the envelope, the second derivative of the envelope and the acceleration of phase. Statistical evaluation showed that geological classification of the seafloor's sediments is possible by associating these attributes according to their coherence. The methodologies here developed seem to be appropriate for glacio-marine environment and coarse-to-medium silt sediment found in the study area and may be applied to other regions in the same geological conditions.

Attributing Hacks

OpenAIRE

Liu, Ziqi; Smola, Alexander J.; Soska, Kyle; Wang, Yu-Xiang; Zheng, Qinghua; Zhou, Jun

2016-01-01

In this paper we describe an algorithm for estimating the provenance of hacks on websites. That is, given properties of sites and the temporal occurrence of attacks, we are able to attribute individual attacks to joint causes and vulnerabilities, as well as estimating the evolution of these vulnerabilities over time. Specifically, we use hazard regression with a time-varying additive hazard function parameterized in a generalized linear form. The activation coefficients on each feature are co...

Technical attributes, health attribute, consumer attributes and their roles in adoption intention of healthcare wearable technology.

Science.gov (United States)

Zhang, Min; Luo, Meifen; Nie, Rui; Zhang, Yan

2017-12-01

This paper aims to explore factors influencing the healthcare wearable technology adoption intention from perspectives of technical attributes (perceived convenience, perceived irreplaceability, perceived credibility and perceived usefulness), health attribute (health belief) and consumer attributes (consumer innovativeness, conspicuous consumption, informational reference group influence and gender difference). By integrating technology acceptance model, health belief model, snob effect and conformity and reference group theory, hypotheses and research model are proposed. The empirical investigation (N=436) collects research data through questionnaire. Results show that the adoption intention of healthcare wearable technology is influenced by technical attributes, health attribute and consumer attributes simultaneously. For technical attributes, perceived convenience and perceived credibility both positively affect perceived usefulness, and perceived usefulness influences adoption intention. The relation between perceived irreplaceability and perceived usefulness is only supported by males. For health attribute, health belief affects perceived usefulness for females. For consumer attributes, conspicuous consumption and informational reference group influence can significantly moderate the relation between perceived usefulness and adoption intention and the relation between consumer innovativeness and adoption intention respectively. What's more, consumer innovativeness significantly affects adoption intention for males. This paper aims to discuss technical attributes, health attribute and consumer attributes and their roles in the adoption intention of healthcare wearable technology. Findings may provide enlightenment to differentiate product developing and marketing strategies and provide some implications for clinical medicine. Copyright © 2017 Elsevier B.V. All rights reserved.

Semantic attributes for people's appearance description: an appearance modality for video surveillance applications

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Frikha, Mayssa; Fendri, Emna; Hammami, Mohamed

2017-09-01

Using semantic attributes such as gender, clothes, and accessories to describe people's appearance is an appealing modeling method for video surveillance applications. We proposed a midlevel appearance signature based on extracting a list of nameable semantic attributes describing the body in uncontrolled acquisition conditions. Conventional approaches extract the same set of low-level features to learn the semantic classifiers uniformly. Their critical limitation is the inability to capture the dominant visual characteristics for each trait separately. The proposed approach consists of extracting low-level features in an attribute-adaptive way by automatically selecting the most relevant features for each attribute separately. Furthermore, relying on a small training-dataset would easily lead to poor performance due to the large intraclass and interclass variations. We annotated large scale people images collected from different person reidentification benchmarks covering a large attribute sample and reflecting the challenges of uncontrolled acquisition conditions. These annotations were gathered into an appearance semantic attribute dataset that contains 3590 images annotated with 14 attributes. Various experiments prove that carefully designed features for learning the visual characteristics for an attribute provide an improvement of the correct classification accuracy and a reduction of both spatial and temporal complexities against state-of-the-art approaches.

Prediction of human protein function from post-translational modifications and localization features

DEFF Research Database (Denmark)

Jensen, Lars Juhl; Gupta, Ramneek; Blom, Nikolaj

2002-01-01

a number of functional attributes that are more directly related to the linear sequence of amino acids, and hence easier to predict, than protein structure. These attributes include features associated with post-translational modifications and protein sorting, but also much simpler aspects......We have developed an entirely sequence-based method that identifies and integrates relevant features that can be used to assign proteins of unknown function to functional classes, and enzyme categories for enzymes. We show that strategies for the elucidation of protein function may benefit from...

Solitary eccrine syringofibroadenoma: a case report showing papillary tubular adenoma-like features

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Toshiyuki Yamamoto

2016-10-01

Full Text Available We herein describe a case showing eccrine syringofibroadenoma occurred on the dorsum of the right foot of a 46-year-old Japanese female. Histopathologic examination revealed anastomosing cords and strands of cuboidal epithelial cells extending from the epidermis to the upper dermis, with a number of well-defined ducts suggesting eccrine ductal origin. In addition, there were papillary tubular adenoma-like ductal structures lined by a few rows of epithelial cells with papillary projections into the lumen surrounded by fibrous stroma in the mid-dermis. It is of note that various histologic features showing different differentiation were seen in a single lesion of eccrine syringofibroadenoma.

Attribute Learning for SAR Image Classification

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Chu He

2017-04-01

Full Text Available This paper presents a classification approach based on attribute learning for high spatial resolution Synthetic Aperture Radar (SAR images. To explore the representative and discriminative attributes of SAR images, first, an iterative unsupervised algorithm is designed to cluster in the low-level feature space, where the maximum edge response and the ratio of mean-to-variance are included; a cross-validation step is applied to prevent overfitting. Second, the most discriminative clustering centers are sorted out to construct an attribute dictionary. By resorting to the attribute dictionary, a representation vector describing certain categories in the SAR image can be generated, which in turn is used to perform the classifying task. The experiments conducted on TerraSAR-X images indicate that those learned attributes have strong visual semantics, which are characterized by bright and dark spots, stripes, or their combinations. The classification method based on these learned attributes achieves better results.

Copular alternation in Spanish and Catalan attributive sentences

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José María Brucart

2012-01-01

Full Text Available This paper deals with copular selection in Spanish and Catalan attributive clauses. We develop an analysis of the copular alternation that is based on the relation of coincidence. Locative attributives, the class of copular sentences that has received less attention in the literature, are analyzed in detail. It is concluded that locative attributives express an abstract path; that is, a terminal coincidence relation between a figure (the entity that is located and a ground (the location. The use of estar in these sentences is justified by the fact that this copula has an interpretable terminal coincidence feature that can license its uninterpretable counterpart in the attributive clause. Nevertheless, ser –the default copula– can also co-occur in locative attributives when the notion of bounded path is already incorporated in the entity that is being located. This is the case in Catalan, which uses a –a preposition that expresses a limit– instead of en –a central coincidence preposition. The copula ser also appears in the location of eventive entities and in path noun constructions. The terminal coincidence feature of estar can also superimpose a delimiting aspectual boundary to the attributive relation when there is no uninterpretable terminal coincidence feature to value in it. In these cases, evidential and sensorial readings are conveyed. Finally, a possible analysis is sketched for the differences in the selection of the copula between Spanish and Catalan with participles and perfective adjectives. It is suggested that the selection of estar in these cases may be due to the fact that both classes have a weaker functional structure in Spanish than in Catalan.

Cross-Domain Shoe Retrieval with a Semantic Hierarchy of Attribute Classification Network.

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Zhan, Huijing; Shi, Boxin; Kot, Alex C

2017-08-04

Cross-domain shoe image retrieval is a challenging problem, because the query photo from the street domain (daily life scenario) and the reference photo in the online domain (online shop images) have significant visual differences due to the viewpoint and scale variation, self-occlusion, and cluttered background. This paper proposes the Semantic Hierarchy Of attributE Convolutional Neural Network (SHOE-CNN) with a three-level feature representation for discriminative shoe feature expression and efficient retrieval. The SHOE-CNN with its newly designed loss function systematically merges semantic attributes of closer visual appearances to prevent shoe images with the obvious visual differences being confused with each other; the features extracted from image, region, and part levels effectively match the shoe images across different domains. We collect a large-scale shoe dataset composed of 14341 street domain and 12652 corresponding online domain images with fine-grained attributes to train our network and evaluate our system. The top-20 retrieval accuracy improves significantly over the solution with the pre-trained CNN features.

Prototypic Features of Loneliness in a Stratified Sample of Adolescents

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Mathias Lasgaard

2009-06-01

Full Text Available Dominant theoretical approaches in loneliness research emphasize the value of personality characteristics in explaining loneliness. The present study examines whether dysfunctional social strategies and attributions in lonely adolescents can be explained by personality characteristics. A questionnaire survey was conducted with 379 Danish Grade 8 students (M = 14.1 years, SD = 0.4 from 22 geographically stratified and randomly selected schools. Hierarchical linear regression analysis showed that network orientation, success expectation and avoidance in affiliative situations predicted loneliness independent of personality characteristics, demographics and social desirability. The study indicates that dysfunctional strategies and attributions in affiliative situations are directly related to loneliness in adolescence. These strategies and attributions may preclude lonely adolescents from guidance and intervention. Thus, professionals need to be knowledgeable about prototypic features of loneliness in addition to employing a pro-active approach when assisting adolescents who display prototypic features.

Feature diagnosticity and task context shape activity in human scene-selective cortex.

Science.gov (United States)

Lowe, Matthew X; Gallivan, Jason P; Ferber, Susanne; Cant, Jonathan S

2016-01-15

Scenes are constructed from multiple visual features, yet previous research investigating scene processing has often focused on the contributions of single features in isolation. In the real world, features rarely exist independently of one another and likely converge to inform scene identity in unique ways. Here, we utilize fMRI and pattern classification techniques to examine the interactions between task context (i.e., attend to diagnostic global scene features; texture or layout) and high-level scene attributes (content and spatial boundary) to test the novel hypothesis that scene-selective cortex represents multiple visual features, the importance of which varies according to their diagnostic relevance across scene categories and task demands. Our results show for the first time that scene representations are driven by interactions between multiple visual features and high-level scene attributes. Specifically, univariate analysis of scene-selective cortex revealed that task context and feature diagnosticity shape activity differentially across scene categories. Examination using multivariate decoding methods revealed results consistent with univariate findings, but also evidence for an interaction between high-level scene attributes and diagnostic visual features within scene categories. Critically, these findings suggest visual feature representations are not distributed uniformly across scene categories but are shaped by task context and feature diagnosticity. Thus, we propose that scene-selective cortex constructs a flexible representation of the environment by integrating multiple diagnostically relevant visual features, the nature of which varies according to the particular scene being perceived and the goals of the observer. Copyright © 2015 Elsevier Inc. All rights reserved.

Feature weighting using particle swarm optimization for learning vector quantization classifier

Science.gov (United States)

Dongoran, A.; Rahmadani, S.; Zarlis, M.; Zakarias

2018-03-01

This paper discusses and proposes a method of feature weighting in classification assignments on competitive learning artificial neural network LVQ. The weighting feature method is the search for the weight of an attribute using the PSO so as to give effect to the resulting output. This method is then applied to the LVQ-Classifier and tested on the 3 datasets obtained from the UCI Machine Learning repository. Then an accuracy analysis will be generated by two approaches. The first approach using LVQ1, referred to as LVQ-Classifier and the second approach referred to as PSOFW-LVQ, is a proposed model. The result shows that the PSO algorithm is capable of finding attribute weights that increase LVQ-classifier accuracy.

Memory Attributions for Choices: How Beliefs Shape Our Memories

Science.gov (United States)

Henkel, Linda A.; Mather, Mara

2007-01-01

When remembering past choices, people tend to attribute positive features to chosen options and negative features to rejected options. The present experiments reveal the important role beliefs play in memory reconstruction of choices. In Experiment 1, participants who misremembered which option they chose favored their believed choice in their…

Improving Geologic and Engineering Models of Midcontinent Fracture and Karst-Modified Reservoirs Using New 3-D Seismic Attributes

Energy Technology Data Exchange (ETDEWEB)

Susan Nissen; Saibal Bhattacharya; W. Lynn Watney; John Doveton

2009-03-31

Our project goal was to develop innovative seismic-based workflows for the incremental recovery of oil from karst-modified reservoirs within the onshore continental United States. Specific project objectives were: (1) to calibrate new multi-trace seismic attributes (volumetric curvature, in particular) for improved imaging of karst-modified reservoirs, (2) to develop attribute-based, cost-effective workflows to better characterize karst-modified carbonate reservoirs and fracture systems, and (3) to improve accuracy and predictiveness of resulting geomodels and reservoir simulations. In order to develop our workflows and validate our techniques, we conducted integrated studies of five karst-modified reservoirs in west Texas, Colorado, and Kansas. Our studies show that 3-D seismic volumetric curvature attributes have the ability to re-veal previously unknown features or provide enhanced visibility of karst and fracture features compared with other seismic analysis methods. Using these attributes, we recognize collapse features, solution-enlarged fractures, and geomorphologies that appear to be related to mature, cockpit landscapes. In four of our reservoir studies, volumetric curvature attributes appear to delineate reservoir compartment boundaries that impact production. The presence of these compartment boundaries was corroborated by reservoir simulations in two of the study areas. Based on our study results, we conclude that volumetric curvature attributes are valuable tools for mapping compartment boundaries in fracture- and karst-modified reservoirs, and we propose a best practices workflow for incorporating these attributes into reservoir characterization. When properly calibrated with geological and production data, these attributes can be used to predict the locations and sizes of undrained reservoir compartments. Technology transfer of our project work has been accomplished through presentations at professional society meetings, peer-reviewed publications

PCA based feature reduction to improve the accuracy of decision tree c4.5 classification

Science.gov (United States)

Nasution, M. Z. F.; Sitompul, O. S.; Ramli, M.

2018-03-01

Splitting attribute is a major process in Decision Tree C4.5 classification. However, this process does not give a significant impact on the establishment of the decision tree in terms of removing irrelevant features. It is a major problem in decision tree classification process called over-fitting resulting from noisy data and irrelevant features. In turns, over-fitting creates misclassification and data imbalance. Many algorithms have been proposed to overcome misclassification and overfitting on classifications Decision Tree C4.5. Feature reduction is one of important issues in classification model which is intended to remove irrelevant data in order to improve accuracy. The feature reduction framework is used to simplify high dimensional data to low dimensional data with non-correlated attributes. In this research, we proposed a framework for selecting relevant and non-correlated feature subsets. We consider principal component analysis (PCA) for feature reduction to perform non-correlated feature selection and Decision Tree C4.5 algorithm for the classification. From the experiments conducted using available data sets from UCI Cervical cancer data set repository with 858 instances and 36 attributes, we evaluated the performance of our framework based on accuracy, specificity and precision. Experimental results show that our proposed framework is robust to enhance classification accuracy with 90.70% accuracy rates.

ATTRIBUTES OF FORM IN THE BUILT ENVIRONMENT THAT INFLUENCE PERCEIVED WALKABILITY.

Science.gov (United States)

Oreskovic, Nicolas M; Charles, Pablina Roth Suzanne Lanyi; Shepherd, Dido Tsigaridi Kathrine; Nelson, Kerrie P; Bar, Moshe

2014-01-01

A recent focus of design and building regulations, including form-based codes and the Leadership in Energy and Environmental Design for Neighborhood Development rating system, has been on promoting pedestrian activity. This study assessed perceptions of walkability for residential and commercial streetscapes with different design attributes in order to inform form-based regulations and codes that aim to impact walkability. We scored 424 images on four design attributes purported to influence walkability: variation in building height, variation in building plane, presence of ground-floor windows, and presence of a street focal point. We then presented the images to 45 adults, who were asked to rate the images for walkability. The results showed that perceived walkability varied according to the degree to which a particular design attribute was present, with the presence of ground-floor windows and a street focal point most consistently associated with a space's perceived walkability. Understanding if and which design attributes are most related to walkability could allow planners and developers to focus on the most salient built-environment features influencing physical activity, as well as provide empirical scientific evidence for form-based regulations and zoning codes aimed at impacting walkabilit.

Feature Selection of Network Intrusion Data using Genetic Algorithm and Particle Swarm Optimization

Directory of Open Access Journals (Sweden)

Iwan Syarif

2016-12-01

Full Text Available This paper describes the advantages of using Evolutionary Algorithms (EA for feature selection on network intrusion dataset. Most current Network Intrusion Detection Systems (NIDS are unable to detect intrusions in real time because of high dimensional data produced during daily operation. Extracting knowledge from huge data such as intrusion data requires new approach. The more complex the datasets, the higher computation time and the harder they are to be interpreted and analyzed. This paper investigates the performance of feature selection algoritms in network intrusiona data. We used Genetic Algorithms (GA and Particle Swarm Optimizations (PSO as feature selection algorithms. When applied to network intrusion datasets, both GA and PSO have significantly reduces the number of features. Our experiments show that GA successfully reduces the number of attributes from 41 to 15 while PSO reduces the number of attributes from 41 to 9. Using k Nearest Neighbour (k-NN as a classifier,the GA-reduced dataset which consists of 37% of original attributes, has accuracy improvement from 99.28% to 99.70% and its execution time is also 4.8 faster than the execution time of original dataset. Using the same classifier, PSO-reduced dataset which consists of 22% of original attributes, has the fastest execution time (7.2 times faster than the execution time of original datasets. However, its accuracy is slightly reduced 0.02% from 99.28% to 99.26%. Overall, both GA and PSO are good solution as feature selection techniques because theyhave shown very good performance in reducing the number of features significantly while still maintaining and sometimes improving the classification accuracy as well as reducing the computation time.

Spatial features register: toward standardization of spatial features

Science.gov (United States)

Cascio, Janette

1994-01-01

As the need to share spatial data increases, more than agreement on a common format is needed to ensure that the data is meaningful to both the importer and the exporter. Effective data transfer also requires common definitions of spatial features. To achieve this, part 2 of the Spatial Data Transfer Standard (SDTS) provides a model for a spatial features data content specification and a glossary of features and attributes that fit this model. The model provides a foundation for standardizing spatial features. The glossary now contains only a limited subset of hydrographic and topographic features. For it to be useful, terms and definitions must be included for other categories, such as base cartographic, bathymetric, cadastral, cultural and demographic, geodetic, geologic, ground transportation, international boundaries, soils, vegetation, water, and wetlands, and the set of hydrographic and topographic features must be expanded. This paper will review the philosophy of the SDTS part 2 and the current plans for creating a national spatial features register as one mechanism for maintaining part 2.

Memory for Recently Accessed Visual Attributes

Science.gov (United States)

Jiang, Yuhong V.; Shupe, Joshua M.; Swallow, Khena M.; Tan, Deborah H.

2016-01-01

Recent reports have suggested that the attended features of an item may be rapidly forgotten once they are no longer relevant for an ongoing task (attribute amnesia). This finding relies on a surprise memory procedure that places high demands on declarative memory. We used intertrial priming to examine whether the representation of an item's…

A Polygon and Point-Based Approach to Matching Geospatial Features

Directory of Open Access Journals (Sweden)

Juan J. Ruiz-Lendínez

2017-12-01

Full Text Available A methodology for matching bidimensional entities is presented in this paper. The matching is proposed for both area and point features extracted from geographical databases. The procedure used to obtain homologous entities is achieved in a two-step process: The first matching, polygon to polygon matching (inter-element matching, is obtained by means of a genetic algorithm that allows the classifying of area features from two geographical databases. After this, we apply a point to point matching (intra-element matching based on the comparison of changes in their turning functions. This study shows that genetic algorithms are suitable for matching polygon features even if these features are quite different. Our results show up to 40% of matched polygons with differences in geometrical attributes. With regards to point matching, the vertex from homologous polygons, the function and threshold values proposed in this paper show a useful method for obtaining precise vertex matching.

Paranormal belief and attributional style.

Science.gov (United States)

Dudley, R T; Whisnand, E A

2000-06-01

52 college students completed Tobacyk's 1988 Revised Paranormal Belief Scale and Peterson, Semmel, von Baeyer, Abramson, Metalsky, and Seligman's 1982 Attributional Style Questionnaire. Analysis showed significantly higher depressive attributional styles among high scorers on paranormal phenomena than low scorers.

Disruption of visual feature binding in working memory.

Science.gov (United States)

Ueno, Taiji; Allen, Richard J; Baddeley, Alan D; Hitch, Graham J; Saito, Satoru

2011-01-01

In a series of five experiments, we studied the effect of a visual suffix on the retention in short-term visual memory of both individual visual features and objects involving the binding of two features. Experiments 1A, 1B, and 2 involved suffixes consisting of features external to the to-be-remembered set and revealed a modest but equivalent disruption on individual and bound feature conditions. Experiments 3A and 3B involved suffixes comprising features that could potentially have formed part of the to-be-remembered set (but did not on that trial). Both experiments showed greater disruption of retention for objects comprising bound features than for their individual features. The results are interpreted as differentiating two components of suffix interference, one affecting memory for features and bindings equally, the other affecting memory for bindings. The general component is tentatively identified with the attentional cost of operating a filter to prevent the suffix from entering visual working memory, whereas the specific component is attributed to the particular fragility of bound representations when the filter fails.

Predicting Days on Market: The Influence of Environmental and Home Attributes

OpenAIRE

Robert P. Culp

2008-01-01

This paper estimates the difference in the number of days a home will remain on the market based upon its environmental attributes. Using on-site inspections of 3088 home sites, the results, using two-stage least squares, show that time on market is reduced and price increased by a variety of green features such as trees, landscaping, open spaces and parks, while time on market is increased and/or price decreased by man-made obstructions such as power lines, roads near the home, train tracks,...

Weakly supervised visual dictionary learning by harnessing image attributes.

Science.gov (United States)

Gao, Yue; Ji, Rongrong; Liu, Wei; Dai, Qionghai; Hua, Gang

2014-12-01

Bag-of-features (BoFs) representation has been extensively applied to deal with various computer vision applications. To extract discriminative and descriptive BoF, one important step is to learn a good dictionary to minimize the quantization loss between local features and codewords. While most existing visual dictionary learning approaches are engaged with unsupervised feature quantization, the latest trend has turned to supervised learning by harnessing the semantic labels of images or regions. However, such labels are typically too expensive to acquire, which restricts the scalability of supervised dictionary learning approaches. In this paper, we propose to leverage image attributes to weakly supervise the dictionary learning procedure without requiring any actual labels. As a key contribution, our approach establishes a generative hidden Markov random field (HMRF), which models the quantized codewords as the observed states and the image attributes as the hidden states, respectively. Dictionary learning is then performed by supervised grouping the observed states, where the supervised information is stemmed from the hidden states of the HMRF. In such a way, the proposed dictionary learning approach incorporates the image attributes to learn a semantic-preserving BoF representation without any genuine supervision. Experiments in large-scale image retrieval and classification tasks corroborate that our approach significantly outperforms the state-of-the-art unsupervised dictionary learning approaches.

An object-oriented feature-based design system face-based detection of feature interactions

International Nuclear Information System (INIS)

Ariffin Abdul Razak

1999-01-01

This paper presents an object-oriented, feature-based design system which supports the integration of design and manufacture by ensuring that part descriptions fully account for any feature interactions. Manufacturing information is extracted from the feature descriptions in the form of volumes and Tool Access Directions, TADs. When features interact, both volumes and TADs are updated. This methodology has been demonstrated by developing a prototype system in which ACIS attributes are used to record feature information within the data structure of the solid model. The system implemented in the C++ programming language and embedded in a menu-driven X-windows user interface to the ACIS 3D Toolkit. (author)

Application of seismic attributes in structural study and fracture analysis of DQ oil field, Iran

Directory of Open Access Journals (Sweden)

Shahoo Maleki

2015-06-01

Full Text Available The determination of the most unstable areas in oil fields is critical for addressing engineering problems of wellbore and sand production as well as geologic problems such as understanding dynamic constraints on hydrocarbon migration and fracture permeability. In this research work, coherency seismic attribute has been used for the determination of the most critical areas in terms of drilling stabilities in the DQ oil field, Iran. The results obtained have shown that the (1 predominant features are the SSE–NNW and N–S trends (2 the central part of the DQ structure shows the highest concentration of segment bundles, (3 the segment bundles seem to be aligned along some lineaments oriented SE–NW and SSE–NNW, and (4 on the eastern and western margins of the map there is an anomalous concentration of segments oriented E–W. It can be concluded that coherency attribute is a valuable tool for structural analysis highlighting those areas containing unstable features.

Clinicopathogical characteristics and mammographic features of breast cancer showing architectural distortion on a mammogram

International Nuclear Information System (INIS)

Kanzaki, Masao; Hirose, Naoko; Suwa, Kaori; Yoshida, Masayuki; Otuki, Yoshiro; Kobayashi, Hiroshi

2012-01-01

Seven hundred and twenty-seven cases of breast cancer were diagnosed in this clinic between January 2003 and December 2010. Of those, 97 patients who showed architectural distortion on mammography were examined regarding the clinicopathological characteristics and mammographic features. The overall rate of architectural distortion was 13.3%, which became higher with progression of the clinical stage. The rate of lymph node metastasis was 50.5% histologically, and the most common histological type was scirrhous carcinoma at 36.2%, papillotubular carcinoma at 33%, invasive lobular carcinoma at 12.1%, and ductal carcinoma in situ at 11%. Cases of extensive ductal spread beyond the breast quadrant, accompanied by microcalcifications or showing architectural distortion in two views on mammography, were present at significantly high rates. Cases showing architectural distortion in two views on mammography accounted for 66% of the total, and, when these cases were not associated with any other mammographic findings, the most suspected histology of the lesion was invasive lobular carcinoma or carcinoma in situ. (author)

Deep Visual Attributes vs. Hand-Crafted Audio Features on Multidomain Speech Emotion Recognition

Directory of Open Access Journals (Sweden)

Michalis Papakostas

2017-06-01

Full Text Available Emotion recognition from speech may play a crucial role in many applications related to human–computer interaction or understanding the affective state of users in certain tasks, where other modalities such as video or physiological parameters are unavailable. In general, a human’s emotions may be recognized using several modalities such as analyzing facial expressions, speech, physiological parameters (e.g., electroencephalograms, electrocardiograms etc. However, measuring of these modalities may be difficult, obtrusive or require expensive hardware. In that context, speech may be the best alternative modality in many practical applications. In this work we present an approach that uses a Convolutional Neural Network (CNN functioning as a visual feature extractor and trained using raw speech information. In contrast to traditional machine learning approaches, CNNs are responsible for identifying the important features of the input thus, making the need of hand-crafted feature engineering optional in many tasks. In this paper no extra features are required other than the spectrogram representations and hand-crafted features were only extracted for validation purposes of our method. Moreover, it does not require any linguistic model and is not specific to any particular language. We compare the proposed approach using cross-language datasets and demonstrate that it is able to provide superior results vs. traditional ones that use hand-crafted features.

Enhancing Critical Infrastructure and Key Resources (CIKR) Level-0 Physical Process Security Using Field Device Distinct Native Attribute Features

Energy Technology Data Exchange (ETDEWEB)

Lopez, Juan [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Liefer, Nathan C. [Wright-Patterson AFB, Dayton, OH (United States); Busho, Colin R. [Wright-Patterson AFB, Dayton, OH (United States); Temple, Michael A. [Wright-Patterson AFB, Dayton, OH (United States)

2017-12-04

Here, the need for improved Critical Infrastructure and Key Resource (CIKR) security is unquestioned and there has been minimal emphasis on Level-0 (PHY Process) improvements. Wired Signal Distinct Native Attribute (WS-DNA) Fingerprinting is investigated here as a non-intrusive PHY-based security augmentation to support an envisioned layered security strategy. Results are based on experimental response collections from Highway Addressable Remote Transducer (HART) Differential Pressure Transmitter (DPT) devices from three manufacturers (Yokogawa, Honeywell, Endress+Hauer) installed in an automated process control system. Device discrimination is assessed using Time Domain (TD) and Slope-Based FSK (SB-FSK) fingerprints input to Multiple Discriminant Analysis, Maximum Likelihood (MDA/ML) and Random Forest (RndF) classifiers. For 12 different classes (two devices per manufacturer at two distinct set points), both classifiers performed reliably and achieved an arbitrary performance benchmark of average cross-class percent correct of %C > 90%. The least challenging cross-manufacturer results included near-perfect %C ≈ 100%, while the more challenging like-model (serial number) discrimination results included 90%< %C < 100%, with TD Fingerprinting marginally outperforming SB-FSK Fingerprinting; SB-FSK benefits from having less stringent response alignment and registration requirements. The RndF classifier was most beneficial and enabled reliable selection of dimensionally reduced fingerprint subsets that minimize data storage and computational requirements. The RndF selected feature sets contained 15% of the full-dimensional feature sets and only suffered a worst case %CΔ = 3% to 4% performance degradation.

Infectious mononucleosis-like syndrome probably attributable to Coxsackie A virus infection.

Science.gov (United States)

Cunha, Burke A; Mickail, Nardeen; Petelin, Andrew P

2012-01-01

Infectious mononucleosis (IM) is a clinical syndrome most often attributable to Epstein-Barr virus (EBV). Characteristic clinical features of EBV IM include bilateral upper lid edema, exudative or nonexudative pharyngitis, bilateral posterior cervical adenopathy, and splenomegaly ± maculopapular rash. Laboratory features of EBV IM include atypical lymphocytes and elevated levels of serum transaminases. Leukopenia and thrombocytopenia are not uncommon. The syndrome of IM may also be attributable to other infectious diseases, eg, cytomegalovirus (CMV), human herpes virus-6 (HHV-6), or Toxoplasma gondii. Less commonly, viral hepatitis, leptospirosis, brucellosis, or parvovirus B(19) may present as an IM-like infection. To the best of our knowledge, only 2 cases of IM-like infections attributable to Coxsackie B viruses (B(3) and B(4)) have been reported. We present the first reported case of an IM-like syndrome with sore throat, fatigue, atypical lymphocytes, and elevated levels of serum transaminases likely due to Coxsackie A in an immunocompetent adult. Copyright © 2012 Elsevier Inc. All rights reserved.

Statistical Discriminability Estimation for Pattern Classification Based on Neural Incremental Attribute Learning

DEFF Research Database (Denmark)

Wang, Ting; Guan, Sheng-Uei; Puthusserypady, Sadasivan

2014-01-01

Feature ordering is a significant data preprocessing method in Incremental Attribute Learning (IAL), a novel machine learning approach which gradually trains features according to a given order. Previous research has shown that, similar to feature selection, feature ordering is also important based...... estimation. Moreover, a criterion that summarizes all the produced values of AD is employed with a GA (Genetic Algorithm)-based approach to obtain the optimum feature ordering for classification problems based on neural networks by means of IAL. Compared with the feature ordering obtained by other approaches...

A Chance for Attributable Agency.

Science.gov (United States)

Briegel, Hans J; Müller, Thomas

Can we sensibly attribute some of the happenings in our world to the agency of some of the things around us? We do this all the time, but there are conceptual challenges purporting to show that attributable agency, and specifically one of its most important subspecies, human free agency, is incoherent. We address these challenges in a novel way: rather than merely rebutting specific arguments, we discuss a concrete model that we claim positively illustrates attributable agency in an indeterministic setting. The model, recently introduced by one of the authors in the context of artificial intelligence, shows that an agent with a sufficiently complex memory organization can employ indeterministic happenings in a meaningful way. We claim that these considerations successfully counter arguments against the coherence of libertarian (indeterminism-based) free will.

8-13 μm spectrophotometry of V1016 Cyg and the shape of the 'silicate' feature

International Nuclear Information System (INIS)

Aitken, D.K.; Roche, P.F.; Spenser, P.M.

1980-01-01

8 to 13μm spectrophotometry of V1016 Cyg shows a broad emission feature attributed to radiation from silicate grains. This emission feature more closely resembles that of the circumstellar shells of oxygen-rich supergiants than the more dilute feature, typical of the interstellar medium, which is observed from the Trapezium source in the Orion nebula. It appears to be possible to distinguish the evolutionary status of an object from the form of its silicate excess. (author)

Attributes of Woodland Caribou Migration Habitat in West-Central British Columbia

Directory of Open Access Journals (Sweden)

Art N. Lance

1996-01-01

Full Text Available We examined sites used by 73 caribou located by radio-tracking during spring migration through a forested travel corridor. The physical and botanical characteristics of these sites were described to find what features (if any distinguished them from the forest at large. Raised and open aspect, sparse tree cover, free-draining soils, and a simple flora with abundant lichens were features common to all the sites, but were lacking in the denser forest around. Scores for these attributes were ordinated by multidimensional scaling of similarities and differences from site to site. Separate searings for (i terrain features, (ii tree cover attributes, and (iii floristic content each yielded a single cluster of points with few outliers and no particular pattern or trend. The inference is that the sites conformed to a single type with limited variation. A profile of the distinguishing characteristics was compiled and then applied to transects through the general migration area by persons unfamiliar with it beforehand. Sites which matched the profile proved easy to identify, even though they comprised only a small proportion of the area. Sites with high scores for the most distinctive attributes had more caribou at the time of radio-tracking.

The radiographic features of rheumatoid arthritis in HLA-B27-positive patients

Energy Technology Data Exchange (ETDEWEB)

Rundback, J.H. (Dept. of Radiology, Beth Israel Medical Center, New York, NY (United States)); Rosenberg, Z.S. (Dept. of Radiology, Hospital for Joint Diseases, Orthopaedic Inst., New York, NY (United States)); Solomon, G. (Dept. of Rheumatology, Hospital for Joint Diseases, Orthopaedic Institute, New York, NY (United States))

1993-05-01

Radiographs were reviewed in a group of nine patients with classical seropositive rheumatoid arthritis who on tissue typing were found to express the class I HLA-B27 allele. Radiographs were analyzed with regard to whether or not they demonstrated radiographic features of (1) classical rheumatoid arthritis, (2) seronegative arthritis, or (3) mixed features of rheumatoid and seronegative arthritis. Five patients (55%) displayed radiographic features consistent with a diagnosis of rheumatoid arthritis, two patients (22%) showed radiographic features of seronegative disorder (periostitis and sacroiliitis), and two patients (22%) showed a mixed picture with evidence of both rheumatoid arthritis and a seronegative disorder. Thus, the HLA-B27 allele contributed to the radiographic features in 44% of patients with rheumatoid arthritis and associated HLA-B27. Thus, the wide range of findings in our population indicates that the radiographic attributes are not specific enough to constitute a unique subpopulation of patients with rheumatoid arthritis. (orig.)

The radiographic features of rheumatoid arthritis in HLA-B27-positive patients

International Nuclear Information System (INIS)

Rundback, J.H.; Rosenberg, Z.S.; Solomon, G.

1993-01-01

Radiographs were reviewed in a group of nine patients with classical seropositive rheumatoid arthritis who on tissue typing were found to express the class I HLA-B27 allele. Radiographs were analyzed with regard to whether or not they demonstrated radiographic features of (1) classical rheumatoid arthritis, (2) seronegative arthritis, or (3) mixed features of rheumatoid and seronegative arthritis. Five patients (55%) displayed radiographic features consistent with a diagnosis of rheumatoid arthritis, two patients (22%) showed radiographic features of seronegative disorder (periostitis and sacroiliitis), and two patients (22%) showed a mixed picture with evidence of both rheumatoid arthritis and a seronegative disorder. Thus, the HLA-B27 allele contributed to the radiographic features in 44% of patients with rheumatoid arthritis and associated HLA-B27. Thus, the wide range of findings in our population indicates that the radiographic attributes are not specific enough to constitute a unique subpopulation of patients with rheumatoid arthritis. (orig.)

Predicting deleterious nsSNPs: an analysis of sequence and structural attributes

Directory of Open Access Journals (Sweden)

Saqi Mansoor AS

2006-04-01

Full Text Available Abstract Background There has been an explosion in the number of single nucleotide polymorphisms (SNPs within public databases. In this study we focused on non-synonymous protein coding single nucleotide polymorphisms (nsSNPs, some associated with disease and others which are thought to be neutral. We describe the distribution of both types of nsSNPs using structural and sequence based features and assess the relative value of these attributes as predictors of function using machine learning methods. We also address the common problem of balance within machine learning methods and show the effect of imbalance on nsSNP function prediction. We show that nsSNP function prediction can be significantly improved by 100% undersampling of the majority class. The learnt rules were then applied to make predictions of function on all nsSNPs within Ensembl. Results The measure of prediction success is greatly affected by the level of imbalance in the training dataset. We found the balanced dataset that included all attributes produced the best prediction. The performance as measured by the Matthews correlation coefficient (MCC varied between 0.49 and 0.25 depending on the imbalance. As previously observed, the degree of sequence conservation at the nsSNP position is the single most useful attribute. In addition to conservation, structural predictions made using a balanced dataset can be of value. Conclusion The predictions for all nsSNPs within Ensembl, based on a balanced dataset using all attributes, are available as a DAS annotation. Instructions for adding the track to Ensembl are at http://www.brightstudy.ac.uk/das_help.html

Neural net generated seismic facies map and attribute facies map

International Nuclear Information System (INIS)

Addy, S.K.; Neri, P.

1998-01-01

The usefulness of 'seismic facies maps' in the analysis of an Upper Wilcox channel system in a 3-D survey shot by CGG in 1995 in Lavaca county in south Texas was discussed. A neural net-generated seismic facies map is a quick hydrocarbon exploration tool that can be applied regionally as well as on a prospect scale. The new technology is used to classify a constant interval parallel to a horizon in a 3-D seismic volume based on the shape of the wiggle traces using a neural network technology. The tool makes it possible to interpret sedimentary features of a petroleum deposit. The same technology can be used in regional mapping by making 'attribute facies maps' in which various forms of amplitude attributes, phase attributes or frequency attributes can be used

Anonymous Credential Schemes with Encrypted Attributes

NARCIS (Netherlands)

Guajardo Merchan, J.; Mennink, B.; Schoenmakers, B.

2011-01-01

In anonymous credential schemes, users obtain credentials on certain attributes from an issuer, and later show these credentials to a relying party anonymously and without fully disclosing the attributes. In this paper, we introduce the notion of (anonymous) credential schemes with encrypted

Dynamics of western career attributes in the Russian context

NARCIS (Netherlands)

Khapova, S.N.; Korotov, K.

2007-01-01

Purpose - The purpose of this article is to raise awareness of the dynamic character of career and its key attributes, and the embeddedness of their definitions and meanings in national social, political and economic contexts. Design/methodology/approach - Features of three recent distinct social,

Analysis of syntactic and semantic features for fine-grained event-spatial understanding in outbreak news reports

Directory of Open Access Journals (Sweden)

Chanlekha Hutchatai

2010-03-01

Full Text Available Abstract Background Previous studies have suggested that epidemiological reasoning needs a fine-grained modelling of events, especially their spatial and temporal attributes. While the temporal analysis of events has been intensively studied, far less attention has been paid to their spatial analysis. This article aims at filling the gap concerning automatic event-spatial attribute analysis in order to support health surveillance and epidemiological reasoning. Results In this work, we propose a methodology that provides a detailed analysis on each event reported in news articles to recover the most specific locations where it occurs. Various features for recognizing spatial attributes of the events were studied and incorporated into the models which were trained by several machine learning techniques. The best performance for spatial attribute recognition is very promising; 85.9% F-score (86.75% precision/85.1% recall. Conclusions We extended our work on event-spatial attribute recognition by focusing on machine learning techniques, which are CRF, SVM, and Decision tree. Our approach avoided the costly development of an external knowledge base by employing the feature sources that can be acquired locally from the analyzed document. The results showed that the CRF model performed the best. Our study indicated that the nearest location and previous event location are the most important features for the CRF and SVM model, while the location extracted from the verb's subject is the most important to the Decision tree model.

A Pure Object-Oriented Embedding of Attribute Grammars

NARCIS (Netherlands)

Sloane, A.M.; Kats, L.C.L.; Visser, E.

2010-01-01

Attribute grammars are a powerful specification paradigm for many language processing tasks, particularly semantic analysis of programming languages. Recent attribute grammar systems use dynamic scheduling algorithms to evaluate attributes by need. In this paper, we show how to remove the need for a

Genesis, visual attributes and contemporary communication features of the alphabet

Directory of Open Access Journals (Sweden)

Filip Cvitić

2014-10-01

Full Text Available Throughout 5,000 years of human literacy, the alphabet system has developed from pictograms and ideograms to the contemporary system of Latin letters. The simplification of primary pictograms and their transformation to ideograms followed the major goal of written communication – to transmit thoughts and ideas. Besides, written communication has enabled preservation of knowledge, and that has generated the expansion of information and its availability today. The high speed of gathering written information, as well as its superabundance, calls for rethinking of semiotic features of Latin letters as the basic units of written communication in the Western world, especially in terms of marketing communication and its effectiveness. The written expression is the major tool of branding and getting closer to target market segments. Social development influences the development of communication, which is visible through numerous brands and signs, i.e. symbols that make products and companies recognizable in the market. The distinct sign forms of the alphabet are used to suggest the story of a brand, product or service. A constituent element of its comprehension is conscious or unconscious knowledge drawn from different sources in the environment. The history of human literacy, the development of each particular letter, the communication rules of the contemporary marketplace, the impact of brands and information superabundance make up the basis for further research into communication features of the alphabet, semantics of written forms and their redefinition in the context of effective marketing communication.

PACHE Trainee Spotlight: Roslyn Curry Featured on Thesis Thursday Radio Show

Science.gov (United States)

Roslyn Curry, a student at the University of Arizona (UA), was featured on a local radio program, Thesis Thursday, where she discussed her participation in the U54 PACHE Partnership for Native American Cancer Prevention (NACP) as a research trainee in Dr. William Montfort’s Lab at the University of Arizona Cancer Cente

Improving Fraudster Detection in Online Auctions by Using Neighbor-Driven Attributes

Directory of Open Access Journals (Sweden)

Jun-Lin Lin

2015-12-01

Full Text Available Online auction websites use a simple reputation system to help their users to evaluate the trustworthiness of sellers and buyers. However, to improve their reputation in the reputation system, fraudulent users can easily deceive the reputation system by creating fake transactions. This inflated-reputation fraud poses a major problem for online auction websites because it can lead legitimate users into scams. Numerous approaches have been proposed in the literature to address this problem, most of which involve using social network analysis (SNA to derive critical features (e.g., k-core, center weight, and neighbor diversity for distinguishing fraudsters from legitimate users. This paper discusses the limitations of these SNA features and proposes a class of SNA features referred to as neighbor-driven attributes (NDAs. The NDAs of users are calculated from the features of their neighbors. Because fraudsters require collusive neighbors to provide them with positive ratings in the reputation system, using NDAs can be helpful for detecting fraudsters. Although the idea of NDAs is not entirely new, experimental results on a real-world dataset showed that using NDAs improves classification accuracy compared with state-of-the-art methods that use the k-core, center weight, and neighbor diversity.

Agency attribution: event-related potentials and outcome monitoring.

Science.gov (United States)

Bednark, Jeffery G; Franz, Elizabeth A

2014-04-01

Knowledge about the effects of our actions is an underlying feature of voluntary behavior. Given the importance of identifying the outcomes of our actions, it has been proposed that the sensory outcomes of self-made actions are inherently different from those of externally caused outcomes. Thus, the outcomes of self-made actions are likely to be more motivationally significant for an agent. We used event-related potentials to investigate the relationship between the perceived motivational significance of an outcome and the attribution of agency in the presence of others. In our experiment, we assessed agency attribution in the presence of another agent by varying the degree of contiguity between participants' self-made actions and the sensory outcome. Specifically, we assessed the feedback correct-related positivity (fCRP) and the novelty P3 measures of an outcome's motivational significance and unexpectedness, respectively. Results revealed that both the fCRP and participants' agency attributions were significantly influenced by action-outcome contiguity. However, when action-outcome contiguity was ambiguous, novelty P3 amplitude was a reliable indicator of agency attribution. Prior agency attributions were also found to influence attribution in trials with ambiguous and low action-outcome contiguity. Participants' use of multiple cues to determine agency is consistent with the cue integration theory of agency. In addition to these novel findings, this study supports growing evidence suggesting that reinforcement processes play a significant role in the sense of agency.

Technology, attributions, and emotions in post-secondary education: An application of Weiner's attribution theory to academic computing problems.

Science.gov (United States)

Maymon, Rebecca; Hall, Nathan C; Goetz, Thomas; Chiarella, Andrew; Rahimi, Sonia

2018-01-01

As technology becomes increasingly integrated with education, research on the relationships between students' computing-related emotions and motivation following technological difficulties is critical to improving learning experiences. Following from Weiner's (2010) attribution theory of achievement motivation, the present research examined relationships between causal attributions and emotions concerning academic computing difficulties in two studies. Study samples consisted of North American university students enrolled in both traditional and online universities (total N = 559) who responded to either hypothetical scenarios or experimental manipulations involving technological challenges experienced in academic settings. Findings from Study 1 showed stable and external attributions to be emotionally maladaptive (more helplessness, boredom, guilt), particularly in response to unexpected computing problems. Additionally, Study 2 found stable attributions for unexpected problems to predict more anxiety for traditional students, with both external and personally controllable attributions for minor problems proving emotionally beneficial for students in online degree programs (more hope, less anxiety). Overall, hypothesized negative effects of stable attributions were observed across both studies, with mixed results for personally controllable attributions and unanticipated emotional benefits of external attributions for academic computing problems warranting further study.

Quality attributes for mobile applications

OpenAIRE

Fernandes, João M.; Ferreira, André Leite

2016-01-01

A mobile application is a type of software application developed to run on a mobile device. The chapter discusses the main characteristics of mobile devices, since they have a great impact on mobile applications. It also presents the classification of mobile applications according to two main types: native and web-based applications. Finally, this chapter identifies the most relevant types of quality attributes for mobile applications. It shows that the relevant quality attributes for mobile ...

Fundamental statistical features and self-similar properties of tagged networks

International Nuclear Information System (INIS)

Palla, Gergely; Farkas, Illes J; Pollner, Peter; Vicsek, Tamas; Derenyi, Imre

2008-01-01

We investigate the fundamental statistical features of tagged (or annotated) networks having a rich variety of attributes associated with their nodes. Tags (attributes, annotations, properties, features, etc) provide essential information about the entity represented by a given node, thus, taking them into account represents a significant step towards a more complete description of the structure of large complex systems. Our main goal here is to uncover the relations between the statistical properties of the node tags and those of the graph topology. In order to better characterize the networks with tagged nodes, we introduce a number of new notions, including tag-assortativity (relating link probability to node similarity), and new quantities, such as node uniqueness (measuring how rarely the tags of a node occur in the network) and tag-assortativity exponent. We apply our approach to three large networks representing very different domains of complex systems. A number of the tag related quantities display analogous behaviour (e.g. the networks we studied are tag-assortative, indicating possible universal aspects of tags versus topology), while some other features, such as the distribution of the node uniqueness, show variability from network to network allowing for pin-pointing large scale specific features of real-world complex networks. We also find that for each network the topology and the tag distribution are scale invariant, and this self-similar property of the networks can be well characterized by the tag-assortativity exponent, which is specific to each system.

Product information representation for feature conversion and implementation of group technology automated coding

Science.gov (United States)

Medland, A. J.; Zhu, Guowang; Gao, Jian; Sun, Jian

1996-03-01

Feature conversion, also called feature transformation and feature mapping, is defined as the process of converting features from one view of an object to another view of the object. In a relatively simple implementation, for each application the design features are automatically converted into features specific for that application. All modifications have to be made via the design features. This is the approach that has attracted most attention until now. In the ideal situation, however, conversions directly from application views to the design view, and to other applications views, are also possible. In this paper, some difficulties faced in feature conversion are discussed. A new representation scheme of feature-based parts models has been proposed for the purpose of one-way feature conversion. The parts models consist of five different levels of abstraction, extending from an assembly level and its attributes, single parts and their attributes, single features and their attributes, one containing the geometric reference element and finally one for detailed geometry. One implementation of feature conversion for rotational components within GT (Group Technology) has already been undertaken using an automated coding procedure operating on a design-feature database. This database has been generated by a feature-based design system, and the GT coding scheme used in this paper is a specific scheme created for a textile machine manufacturing plant. Such feature conversion techniques presented here are only in their early stages of development and further research is underway.

Attribute analyses of gpr data for detecting and identifying heavy minerals

Science.gov (United States)

Catakli, Aycan

Attribute analyses have been used successfully in seismic applications for many years. In this study, the application of the attribute analyses to Ground Penetrating Radar (GPR) data has been proposed to detect and identify heavy minerals within the Moon soil (regolith). Lunar samples are mostly composed of heavy minerals such as ilmenite, plagioclase, olivine and pyroxene, a characteristic that makes lunar soil a source for elements such as titanium, oxygen and iron. The main goal of this study is to demonstrate the use of GPR method for detecting and mapping heavy minerals concentrations. The attribute analyses used in this study are Attenuation Analysis (AA), Complex Trace Analysis (CTA), Texture Analysis (TA) and Center Frequency Destitution (CFD). Attribute analysis was applied to both synthetic models and prototype laboratory measurements to study its application to GPR data. The results indicate that the attribute analyses of GPR data can be useful to provide valuable subsurface information. The findings of AA show that attenuation values are function of mineralogy of the subsurface. This could be applicable to Moon and Mars in addition to Earth environment to explore their near-surface soils. CTA can successfully estimate the location of heavy mineral samples embedded inside host medium through the variation of reflected energy around buried sample and sharpen the reflecting interface. Results indicate that as the amount of the buried heavy minerals increases, the value of CTA parameters (Normal distribution of amplitude spectra `NDoAS' and tau-parameter) proportionally increase. TA measures combined can be used as an enhanced interpretation tool. The texture results show that heavy mineral concentrations can be identified by the high contrast, entropy, autocorrelation, correlation, cluster, dissimilarity, standard deviation, variance and low energy, maximum probability, and homogeneity. The measures also help in highlighting the edge of the buried samples

Attributional Models of Depression and Marital Distress.

Science.gov (United States)

Horneffer, Karen J.; Fincham, Frank D.

1996-01-01

Compares attributional models presented in depression and marital literatures by examining simultaneously their prediction of depressive symptoms and marital distress with 150 married couples. Findings show that a model including paths from depressogenic and distress-maintaining marital attributions to both depressive symptoms and marital distress…

Variable precision rough set for multiple decision attribute analysis

Institute of Scientific and Technical Information of China (English)

Lai; Kin; Keung

2008-01-01

A variable precision rough set (VPRS) model is used to solve the multi-attribute decision analysis (MADA) problem with multiple conflicting decision attributes and multiple condition attributes. By introducing confidence measures and a β-reduct, the VPRS model can rationally solve the conflicting decision analysis problem with multiple decision attributes and multiple condition attributes. For illustration, a medical diagnosis example is utilized to show the feasibility of the VPRS model in solving the MADA...

Vehicle detection from very-high-resolution (VHR) aerial imagery using attribute belief propagation (ABP)

Science.gov (United States)

Wang, Yanli; Li, Ying; Zhang, Li; Huang, Yuchun

2016-10-01

With the popularity of very-high-resolution (VHR) aerial imagery, the shape, color, and context attribute of vehicles are better characterized. Due to the various road surroundings and imaging conditions, vehicle attributes could be adversely affected so that vehicle is mistakenly detected or missed. This paper is motivated to robustly extract the rich attribute feature for detecting the vehicles of VHR imagery under different scenarios. Based on the hierarchical component tree of vehicle context, attribute belief propagation (ABP) is proposed to detect salient vehicles from the statistical perspective. With the Max-tree data structure, the multi-level component tree around the road network is efficiently created. The spatial relationship between vehicle and its belonging context is established with the belief definition of vehicle attribute. To effectively correct single-level belief error, the inter-level belief linkages enforce consistency of belief assignment between corresponding components at different levels. ABP starts from an initial set of vehicle belief calculated by vehicle attribute, and then iterates through each component by applying inter-level belief passing until convergence. The optimal value of vehicle belief of each component is obtained via minimizing its belief function iteratively. The proposed algorithm is tested on a diverse set of VHR imagery acquired in the city and inter-city areas of the West and South China. Experimental results show that the proposed algorithm can detect vehicle efficiently and suppress the erroneous effectively. The proposed ABP framework is promising to robustly classify the vehicles from VHR Aerial imagery.

Tunable features of magnetoelectric transformers.

Science.gov (United States)

Dong, Shuxiang; Zhai, Junyi; Priya, Shashank; Li, Jie-Fang; Viehland, Dwight

2009-06-01

We have found that magnetostrictive FeBSiC alloy ribbons laminated with piezoelectric Pb(Zr,Ti)O(3) fiber can act as a tunable transformer when driven under resonant conditions. These composites were also found to exhibit the strongest resonant magnetoelectric voltage coefficient of 750 V/cm-Oe. The tunable features were achieved by applying small dc magnetic biases of -5 transformer features can be attributed to large changes in the piezomagnetic coefficient and permeability of the magnetostrictive phase under H(dc).

The Attribute for Hydrocarbon Prediction Based on Attenuation

International Nuclear Information System (INIS)

Hermana, Maman; Harith, Z Z T; Sum, C W; Ghosh, D P

2014-01-01

Hydrocarbon prediction is a crucial issue in the oil and gas industry. Currently, the prediction of pore fluid and lithology are based on amplitude interpretation which has the potential to produce pitfalls in certain conditions of reservoir. Motivated by this fact, this work is directed to find out other attributes that can be used to reduce the pitfalls in the amplitude interpretation. Some seismic attributes were examined and studies showed that the attenuation attribute is a better attribute for hydrocarbon prediction. Theoretically, the attenuation mechanism of wave propagation is associated with the movement of fluid in the pore; hence the existence of hydrocarbon in the pore will be represented by attenuation attribute directly. In this paper we evaluated the feasibility of the quality factor ratio of P-wave and S-wave (Qp/Qs) as hydrocarbon indicator using well data and also we developed a new attribute based on attenuation for hydrocarbon prediction -- Normalized Energy Reduction Stack (NERS). To achieve these goals, this work was divided into 3 main parts; estimating the Qp/Qs on well log data, testing the new attribute in the synthetic data and applying the new attribute on real data in Malay Basin data. The result show that the Qp/Qs is better than Poisson's ratio and Lamda over Mu as hydrocarbon indicator. The curve, trend analysis and contrast of Qp/Qs is more powerful at distinguishing pore fluid than Poisson ratio and Lamda over Mu. The NERS attribute was successful in distinguishing the hydrocarbon from brine on synthetic data. Applying this attribute on real data on Malay basin, the NERS attribute is qualitatively conformable with the structure and location where the gas is predicted. The quantitative interpretation of this attribute for hydrocarbon prediction needs to be investigated further

Richer Concepts are Better Remembered: Number of Features Effects in Free Recall

Directory of Open Access Journals (Sweden)

Ian Scott Hargreaves

2012-04-01

Full Text Available In four experiments, we tested the expectation that concepts associated with more semantic features would be better remembered than concepts associated with fewer semantic features. Using feature listing norms we selected sets of items for which people tend to list high numbers of features (high NoF and items for which people tend to list lower numbers of features (low NoF. Results showed more accurate free recall for high NoF concepts than for low NoF concepts in expected memory tasks (Experiments 1-3 and also in an unexpected memory task (Experiment 4. This effect was not the result of associative chaining between study items (Experiment 3, and can be attributed to the amount of item-specific processing that occurs at study (Experiment 4. These results provide evidence that stimulus-specific differences in processing at encoding have consequences for explicit memory retrieval.

Fundamental(ist) attribution error: Protestants are dispositionally focused.

Science.gov (United States)

Li, Yexin Jessica; Johnson, Kathryn A; Cohen, Adam B; Williams, Melissa J; Knowles, Eric D; Chen, Zhansheng

2012-02-01

Attribution theory has long enjoyed a prominent role in social psychological research, yet religious influences on attribution have not been well studied. We theorized and tested the hypothesis that Protestants would endorse internal attributions to a greater extent than would Catholics, because Protestantism focuses on the inward condition of the soul. In Study 1, Protestants made more internal, but not external, attributions than did Catholics. This effect survived controlling for Protestant work ethic, need for structure, and intrinsic and extrinsic religiosity. Study 2 showed that the Protestant-Catholic difference in internal attributions was significantly mediated by Protestants' greater belief in a soul. In Study 3, priming religion increased belief in a soul for Protestants but not for Catholics. Finally, Study 4 found that experimentally strengthening belief in a soul increased dispositional attributions among Protestants but did not change situational attributions. These studies expand the understanding of cultural differences in attributions by demonstrating a distinct effect of religion on dispositional attributions.

Influences of packaging attributes on consumer purchase decisions for fresh produce.

Science.gov (United States)

Koutsimanis, Georgios; Getter, Kristin; Behe, Bridget; Harte, Janice; Almenar, Eva

2012-10-01

Packaging attributes are considered to have an influence on consumer purchase decisions for food and, as a consequence, also on its consumption. To improve the current minimal understanding of these influences for fresh produce, a survey instrument in the form of an online questionnaire has been developed and launched in the US. The first part of the questionnaire covers consumers' preferences for packaging convenience features, characteristics, materials, disposal method, and others for fresh produces in general, and the second focuses on attributes like price, container size, produce shelf life for a specific fresh produce, sweet cherries, to allow us to supply specific values for these factors to the participants. Cluster and conjoint analyses of responses from 292 participants reveal that specific packaging and produce attributes affect consumer purchase decisions of fresh produce in general and of sweet cherries in particular (P ≤ 0.05) and that some are population segment dependent (P ≤ 0.05). For produce packaging in general, 'extend the "best by" date' was ranked as the top convenience feature, the type of packaging material was considered to affect the food product quality (92.7%) and containers made from bio-based materials were highly appealing (3.52 out of 5.00). The most important attributes that affect the purchasing decisions of consumers regarding a specific fresh produce like sweet cherries are price (25%), shelf life (19%) and container size (17.2%). Copyright © 2012 Elsevier Ltd. All rights reserved.

Attributes of God: Conceptual Foundations of a Foundational Belief.

Science.gov (United States)

Shtulman, Andrew; Lindeman, Marjaana

2016-04-01

Anthropomorphism, or the attribution of human properties to nonhuman entities, is often posited as an explanation for the origin and nature of God concepts, but it remains unclear which human properties we tend to attribute to God and under what conditions. In three studies, participants decided whether two types of human properties-psychological (mind-dependent) properties and physiological (body-dependent) properties-could or could not be attributed to God. In Study 1 (n = 1,525), participants made significantly more psychological attributions than physiological attributions, and the frequency of those attributions was correlated both with participants' religiosity and with their attribution of abstract, theological properties. In Study 2 (n = 99) and Study 3 (n = 138), participants not only showed the same preference for psychological properties but were also significantly faster, more consistent, and more confident when attributing psychological properties to God than when attributing physiological properties. And when denying properties to God, they showed the reverse pattern-that is, they were slower, less consistent, and less confident when denying psychological properties than when denying physiological properties. These patterns were observed both in a predominantly Christian population (Study 2) and a predominantly Hindu population (Study 3). Overall, we argue that God is conceptualized not as a person in general but as an agent in particular, attributed a mind by default but attributed a body only upon further consideration. Copyright © 2015 Cognitive Science Society, Inc.

Impacts of Situational Factors on Process Attribute Uses for Food Purchases

DEFF Research Database (Denmark)

Loebnitz, Natascha; Mueller Loose, Simone; Grunert, Klaus G

2015-01-01

Consumer buying decisions for food reflect considerations about food production. However, consumers’ interest in process-related product characteristics does not always translate into buying intentions. The present study investigates how situational factors affect the use of process......-related considerations when consumers select food products. A conjoint study provides estimated part worth utilities for product alternatives that differ on five product attributes (including four process-related factors) across two products (bread and sports drink) that differ on perceived naturalness....... The investigation of the utilities of the process-related attributes features both an internal (priming of environmental values/ value centrality) and an external (time pressure) situational factor. The results indicate that the importance of process-related attributes is product specific and also depends...

Technology, attributions, and emotions in post-secondary education: An application of Weiner’s attribution theory to academic computing problems

Science.gov (United States)

Hall, Nathan C.; Goetz, Thomas; Chiarella, Andrew; Rahimi, Sonia

2018-01-01

As technology becomes increasingly integrated with education, research on the relationships between students’ computing-related emotions and motivation following technological difficulties is critical to improving learning experiences. Following from Weiner’s (2010) attribution theory of achievement motivation, the present research examined relationships between causal attributions and emotions concerning academic computing difficulties in two studies. Study samples consisted of North American university students enrolled in both traditional and online universities (total N = 559) who responded to either hypothetical scenarios or experimental manipulations involving technological challenges experienced in academic settings. Findings from Study 1 showed stable and external attributions to be emotionally maladaptive (more helplessness, boredom, guilt), particularly in response to unexpected computing problems. Additionally, Study 2 found stable attributions for unexpected problems to predict more anxiety for traditional students, with both external and personally controllable attributions for minor problems proving emotionally beneficial for students in online degree programs (more hope, less anxiety). Overall, hypothesized negative effects of stable attributions were observed across both studies, with mixed results for personally controllable attributions and unanticipated emotional benefits of external attributions for academic computing problems warranting further study. PMID:29529039

Controlling attribute effect in linear regression

KAUST Repository

Calders, Toon; Karim, Asim A.; Kamiran, Faisal; Ali, Wasif Mohammad; Zhang, Xiangliang

2013-01-01

In data mining we often have to learn from biased data, because, for instance, data comes from different batches or there was a gender or racial bias in the collection of social data. In some applications it may be necessary to explicitly control this bias in the models we learn from the data. This paper is the first to study learning linear regression models under constraints that control the biasing effect of a given attribute such as gender or batch number. We show how propensity modeling can be used for factoring out the part of the bias that can be justified by externally provided explanatory attributes. Then we analytically derive linear models that minimize squared error while controlling the bias by imposing constraints on the mean outcome or residuals of the models. Experiments with discrimination-aware crime prediction and batch effect normalization tasks show that the proposed techniques are successful in controlling attribute effects in linear regression models. © 2013 IEEE.

Controlling attribute effect in linear regression

KAUST Repository

Calders, Toon

2013-12-01

In data mining we often have to learn from biased data, because, for instance, data comes from different batches or there was a gender or racial bias in the collection of social data. In some applications it may be necessary to explicitly control this bias in the models we learn from the data. This paper is the first to study learning linear regression models under constraints that control the biasing effect of a given attribute such as gender or batch number. We show how propensity modeling can be used for factoring out the part of the bias that can be justified by externally provided explanatory attributes. Then we analytically derive linear models that minimize squared error while controlling the bias by imposing constraints on the mean outcome or residuals of the models. Experiments with discrimination-aware crime prediction and batch effect normalization tasks show that the proposed techniques are successful in controlling attribute effects in linear regression models. © 2013 IEEE.

The features of ballistic electron transport in a suspended quantum point contact

International Nuclear Information System (INIS)

Shevyrin, A. A.; Budantsev, M. V.; Bakarov, A. K.; Toropov, A. I.; Pogosov, A. G.; Ishutkin, S. V.; Shesterikov, E. V.

2014-01-01

A suspended quantum point contact and the effects of the suspension are investigated by performing identical electrical measurements on the same experimental sample before and after the suspension. In both cases, the sample demonstrates conductance quantization. However, the suspended quantum point contact shows certain features not observed before the suspension, namely, plateaus at the conductance values being non-integer multiples of the conductance quantum, including the “0.7-anomaly.” These features can be attributed to the strengthening of electron-electron interaction because of the electric field confinement within the suspended membrane. Thus, the suspended quantum point contact represents a one-dimensional system with strong electron-electron interaction

Recognizing and Imitating Programmer Style: Adversaries in Program Authorship Attribution

Directory of Open Access Journals (Sweden)

Simko Lucy

2018-01-01

Full Text Available Source code attribution classifiers have recently become powerful. We consider the possibility that an adversary could craft code with the intention of causing a misclassification, i.e., creating a forgery of another author’s programming style in order to hide the forger’s own identity or blame the other author. We find that it is possible for a non-expert adversary to defeat such a system. In order to inform the design of adversarially resistant source code attribution classifiers, we conduct two studies with C/C++ programmers to explore the potential tactics and capabilities both of such adversaries and, conversely, of human analysts doing source code authorship attribution. Through the quantitative and qualitative analysis of these studies, we (1 evaluate a state-of-the-art machine classifier against forgeries, (2 evaluate programmers as human analysts/forgery detectors, and (3 compile a set of modifications made to create forgeries. Based on our analyses, we then suggest features that future source code attribution systems might incorporate in order to be adversarially resistant.

Essential Features of Serious Games Design in Higher Education: Linking Learning Attributes to Game Mechanics

Science.gov (United States)

Lameras, Petros; Arnab, Sylvester; Dunwell, Ian; Stewart, Craig; Clarke, Samantha; Petridis, Panagiotis

2017-01-01

This paper consolidates evidence and material from a range of specialist and disciplinary fields to provide an evidence-based review and synthesis on the design and use of serious games in higher education. Search terms identified 165 papers reporting conceptual and empirical evidence on how learning attributes and game mechanics may be planned,…

Evolutionary Feature Selection for Big Data Classification: A MapReduce Approach

Directory of Open Access Journals (Sweden)

Daniel Peralta

2015-01-01

Full Text Available Nowadays, many disciplines have to deal with big datasets that additionally involve a high number of features. Feature selection methods aim at eliminating noisy, redundant, or irrelevant features that may deteriorate the classification performance. However, traditional methods lack enough scalability to cope with datasets of millions of instances and extract successful results in a delimited time. This paper presents a feature selection algorithm based on evolutionary computation that uses the MapReduce paradigm to obtain subsets of features from big datasets. The algorithm decomposes the original dataset in blocks of instances to learn from them in the map phase; then, the reduce phase merges the obtained partial results into a final vector of feature weights, which allows a flexible application of the feature selection procedure using a threshold to determine the selected subset of features. The feature selection method is evaluated by using three well-known classifiers (SVM, Logistic Regression, and Naive Bayes implemented within the Spark framework to address big data problems. In the experiments, datasets up to 67 millions of instances and up to 2000 attributes have been managed, showing that this is a suitable framework to perform evolutionary feature selection, improving both the classification accuracy and its runtime when dealing with big data problems.

Whole Genome Sequencing Shows a Low Proportion of Tuberculosis Disease Is Attributable to Known Close Contacts in Rural Malawi.

Directory of Open Access Journals (Sweden)

Judith R Glynn

Full Text Available The proportion of tuberculosis attributable to transmission from close contacts is not well known. Comparison of the genome of strains from index patients and prior contacts allows transmission to be confirmed or excluded.In Karonga District, Malawi, all tuberculosis patients are asked about prior contact with others with tuberculosis. All available strains from culture-positive patients were sequenced. Up to 10 single nucleotide polymorphisms between index patients and their prior contacts were allowed for confirmation, and ≥ 100 for exclusion. The population attributable fraction was estimated from the proportion of confirmed transmissions and the proportion of patients with contacts.From 1997-2010 there were 1907 new culture-confirmed tuberculosis patients, of whom 32% reported at least one family contact and an additional 11% had at least one other contact; 60% of contacts had smear-positive disease. Among case-contact pairs with sequences available, transmission was confirmed from 38% (62/163 smear-positive prior contacts and 0/17 smear-negative prior contacts. Confirmed transmission was more common in those related to the prior contact (42.4%, 56/132 than in non-relatives (19.4%, 6/31, p = 0.02, and in those with more intense contact, to younger index cases, and in more recent years. The proportion of tuberculosis attributable to known contacts was estimated to be 9.4% overall.In this population known contacts only explained a small proportion of tuberculosis cases. Even those with a prior family contact with smear positive tuberculosis were more likely to have acquired their infection elsewhere.

Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data

OpenAIRE

Wang, Jing; Cheng, Yu; Feris, Rogerio Schmidt

2016-01-01

The way people look in terms of facial attributes (ethnicity, hair color, facial hair, etc.) and the clothes or accessories they wear (sunglasses, hat, hoodies, etc.) is highly dependent on geo-location and weather condition, respectively. This work explores, for the first time, the use of this contextual information, as people with wearable cameras walk across different neighborhoods of a city, in order to learn a rich feature representation for facial attribute classification, without the c...

Extraction of auditory features and elicitation of attributes for the assessment of multichannel reproduced sound

DEFF Research Database (Denmark)

Choisel, Sylvain; Wickelmaier, Florian Maria

2006-01-01

), subjects were asked to directly assign verbal labels to the features when encountering them, and to subsequently rate the sounds on the scales thus obtained. The second method required the subjects to consistently use the perceptually relevant features in triadic comparisons, without having to assign them...

Feature Selection Methods for Zero-Shot Learning of Neural Activity

Directory of Open Access Journals (Sweden)

Carlos A. Caceres

2017-06-01

Full Text Available Dimensionality poses a serious challenge when making predictions from human neuroimaging data. Across imaging modalities, large pools of potential neural features (e.g., responses from particular voxels, electrodes, and temporal windows have to be related to typically limited sets of stimuli and samples. In recent years, zero-shot prediction models have been introduced for mapping between neural signals and semantic attributes, which allows for classification of stimulus classes not explicitly included in the training set. While choices about feature selection can have a substantial impact when closed-set accuracy, open-set robustness, and runtime are competing design objectives, no systematic study of feature selection for these models has been reported. Instead, a relatively straightforward feature stability approach has been adopted and successfully applied across models and imaging modalities. To characterize the tradeoffs in feature selection for zero-shot learning, we compared correlation-based stability to several other feature selection techniques on comparable data sets from two distinct imaging modalities: functional Magnetic Resonance Imaging and Electrocorticography. While most of the feature selection methods resulted in similar zero-shot prediction accuracies and spatial/spectral patterns of selected features, there was one exception; A novel feature/attribute correlation approach was able to achieve those accuracies with far fewer features, suggesting the potential for simpler prediction models that yield high zero-shot classification accuracy.

Irreducible descriptive sets of attributes for information systems

KAUST Repository

Moshkov, Mikhail

2010-01-01

The maximal consistent extension Ext(S) of a given information system S consists of all objects corresponding to attribute values from S which are consistent with all true and realizable rules extracted from the original information system S. An irreducible descriptive set for the considered information system S is a minimal (relative to the inclusion) set B of attributes which defines exactly the set Ext(S) by means of true and realizable rules constructed over attributes from the considered set B. We show that there exists only one irreducible descriptive set of attributes. We present a polynomial algorithm for this set construction. We also study relationships between the cardinality of irreducible descriptive set of attributes and the number of attributes in S. The obtained results will be useful for the design of concurrent data models from experimental data. © 2010 Springer-Verlag.

Attribution bias and social anxiety in schizophrenia

Directory of Open Access Journals (Sweden)

Amelie M. Achim

2016-06-01

Full Text Available Studies on attribution biases in schizophrenia have produced mixed results, whereas such biases have been more consistently reported in people with anxiety disorders. Anxiety comorbidities are frequent in schizophrenia, in particular social anxiety disorder, which could influence their patterns of attribution biases. The objective of the present study was thus to determine if individuals with schizophrenia and a comorbid social anxiety disorder (SZ+ show distinct attribution biases as compared with individuals with schizophrenia without social anxiety (SZ− and healthy controls. Attribution biases were assessed with the Internal, Personal, and Situational Attributions Questionnaire in 41 individual with schizophrenia and 41 healthy controls. Results revealed the lack of the normal externalizing bias in SZ+, whereas SZ− did not significantly differ from healthy controls on this dimension. The personalizing bias was not influenced by social anxiety but was in contrast linked with delusions, with a greater personalizing bias in individuals with current delusions. Future studies on attribution biases in schizophrenia should carefully document symptom presentation, including social anxiety.

Identification and characterization of plastid-type proteins from sequence-attributed features using machine learning

Science.gov (United States)

2013-01-01

Background Plastids are an important component of plant cells, being the site of manufacture and storage of chemical compounds used by the cell, and contain pigments such as those used in photosynthesis, starch synthesis/storage, cell color etc. They are essential organelles of the plant cell, also present in algae. Recent advances in genomic technology and sequencing efforts is generating a huge amount of DNA sequence data every day. The predicted proteome of these genomes needs annotation at a faster pace. In view of this, one such annotation need is to develop an automated system that can distinguish between plastid and non-plastid proteins accurately, and further classify plastid-types based on their functionality. We compared the amino acid compositions of plastid proteins with those of non-plastid ones and found significant differences, which were used as a basis to develop various feature-based prediction models using similarity-search and machine learning. Results In this study, we developed separate Support Vector Machine (SVM) trained classifiers for characterizing the plastids in two steps: first distinguishing the plastid vs. non-plastid proteins, and then classifying the identified plastids into their various types based on their function (chloroplast, chromoplast, etioplast, and amyloplast). Five diverse protein features: amino acid composition, dipeptide composition, the pseudo amino acid composition, Nterminal-Center-Cterminal composition and the protein physicochemical properties are used to develop SVM models. Overall, the dipeptide composition-based module shows the best performance with an accuracy of 86.80% and Matthews Correlation Coefficient (MCC) of 0.74 in phase-I and 78.60% with a MCC of 0.44 in phase-II. On independent test data, this model also performs better with an overall accuracy of 76.58% and 74.97% in phase-I and phase-II, respectively. The similarity-based PSI-BLAST module shows very low performance with about 50% prediction

An evolution of image source camera attribution approaches.

Science.gov (United States)

Jahanirad, Mehdi; Wahab, Ainuddin Wahid Abdul; Anuar, Nor Badrul

2016-05-01

Camera attribution plays an important role in digital image forensics by providing the evidence and distinguishing characteristics of the origin of the digital image. It allows the forensic analyser to find the possible source camera which captured the image under investigation. However, in real-world applications, these approaches have faced many challenges due to the large set of multimedia data publicly available through photo sharing and social network sites, captured with uncontrolled conditions and undergone variety of hardware and software post-processing operations. Moreover, the legal system only accepts the forensic analysis of the digital image evidence if the applied camera attribution techniques are unbiased, reliable, nondestructive and widely accepted by the experts in the field. The aim of this paper is to investigate the evolutionary trend of image source camera attribution approaches from fundamental to practice, in particular, with the application of image processing and data mining techniques. Extracting implicit knowledge from images using intrinsic image artifacts for source camera attribution requires a structured image mining process. In this paper, we attempt to provide an introductory tutorial on the image processing pipeline, to determine the general classification of the features corresponding to different components for source camera attribution. The article also reviews techniques of the source camera attribution more comprehensively in the domain of the image forensics in conjunction with the presentation of classifying ongoing developments within the specified area. The classification of the existing source camera attribution approaches is presented based on the specific parameters, such as colour image processing pipeline, hardware- and software-related artifacts and the methods to extract such artifacts. The more recent source camera attribution approaches, which have not yet gained sufficient attention among image forensics

Improving the Accuracy of Attribute Extraction using the Relatedness between Attribute Values

Science.gov (United States)

Bollegala, Danushka; Tani, Naoki; Ishizuka, Mitsuru

Extracting attribute-values related to entities from web texts is an important step in numerous web related tasks such as information retrieval, information extraction, and entity disambiguation (namesake disambiguation). For example, for a search query that contains a personal name, we can not only return documents that contain that personal name, but if we have attribute-values such as the organization for which that person works, we can also suggest documents that contain information related to that organization, thereby improving the user's search experience. Despite numerous potential applications of attribute extraction, it remains a challenging task due to the inherent noise in web data -- often a single web page contains multiple entities and attributes. We propose a graph-based approach to select the correct attribute-values from a set of candidate attribute-values extracted for a particular entity. First, we build an undirected weighted graph in which, attribute-values are represented by nodes, and the edge that connects two nodes in the graph represents the degree of relatedness between the corresponding attribute-values. Next, we find the maximum spanning tree of this graph that connects exactly one attribute-value for each attribute-type. The proposed method outperforms previously proposed attribute extraction methods on a dataset that contains 5000 web pages.

Causal Attributions for Poverty in Developing Countries

Directory of Open Access Journals (Sweden)

José Juan Vázquez

2009-07-01

Full Text Available This paper analyzes attributional differences about causes of poverty in the less developed countries, among Nicaraguan ("actors" and Spanish ("observers" undergraduates. A self–applied questionnaire was used. It included socio–demographic questions and an adaptation of the "Causes of Third World Poverty Questionnaire" (CTWPQ. Results show agreement between Spanish and Nicaraguan in attributions about the main causes of poverty in the less developed countries, although there are differences about the perception of the incidence of the different causes in that situation. Nicaraguan students consider, as causes of poverty, more dispositional attributes about the population in those countries.

Detecting Hotspot Information Using Multi-Attribute Based Topic Model.

Directory of Open Access Journals (Sweden)

Jing Wang

Full Text Available Microblogging as a kind of social network has become more and more important in our daily lives. Enormous amounts of information are produced and shared on a daily basis. Detecting hot topics in the mountains of information can help people get to the essential information more quickly. However, due to short and sparse features, a large number of meaningless tweets and other characteristics of microblogs, traditional topic detection methods are often ineffective in detecting hot topics. In this paper, we propose a new topic model named multi-attribute latent dirichlet allocation (MA-LDA, in which the time and hashtag attributes of microblogs are incorporated into LDA model. By introducing time attribute, MA-LDA model can decide whether a word should appear in hot topics or not. Meanwhile, compared with the traditional LDA model, applying hashtag attribute in MA-LDA model gives the core words an artificially high ranking in results meaning the expressiveness of outcomes can be improved. Empirical evaluations on real data sets demonstrate that our method is able to detect hot topics more accurately and efficiently compared with several baselines. Our method provides strong evidence of the importance of the temporal factor in extracting hot topics.

Detecting Hotspot Information Using Multi-Attribute Based Topic Model

Science.gov (United States)

Wang, Jing; Li, Li; Tan, Feng; Zhu, Ying; Feng, Weisi

2015-01-01

Microblogging as a kind of social network has become more and more important in our daily lives. Enormous amounts of information are produced and shared on a daily basis. Detecting hot topics in the mountains of information can help people get to the essential information more quickly. However, due to short and sparse features, a large number of meaningless tweets and other characteristics of microblogs, traditional topic detection methods are often ineffective in detecting hot topics. In this paper, we propose a new topic model named multi-attribute latent dirichlet allocation (MA-LDA), in which the time and hashtag attributes of microblogs are incorporated into LDA model. By introducing time attribute, MA-LDA model can decide whether a word should appear in hot topics or not. Meanwhile, compared with the traditional LDA model, applying hashtag attribute in MA-LDA model gives the core words an artificially high ranking in results meaning the expressiveness of outcomes can be improved. Empirical evaluations on real data sets demonstrate that our method is able to detect hot topics more accurately and efficiently compared with several baselines. Our method provides strong evidence of the importance of the temporal factor in extracting hot topics. PMID:26496635

A Multi-Session Attribution Modification Program for Children with Aggressive Behaviour: Changes in Attributions, Emotional Reaction Estimates, and Self-Reported Aggression.

Science.gov (United States)

Vassilopoulos, Stephanos P; Brouzos, Andreas; Andreou, Eleni

2015-09-01

Research suggests that aggressive children are prone to over-attribute hostile intentions to peers. The current study investigated whether this attributional style can be altered using a Cognitive Bias Modification of Interpretations (CBM-I) procedure. A sample of 10-12-year-olds selected for displaying aggressive behaviours was trained over three sessions to endorse benign rather than hostile attributions in response to ambiguous social scenarios. Compared to a test-retest control group (n = 18), children receiving CBM-I (n = 16) were less likely to endorse hostile attributions and more likely to endorse benign attributions in response to a new set of ambiguous social situations. Furthermore, aggressive behaviour scores reduced more in the trained group than in the untrained controls. Children who received attribution training also reported less perceived anger and showed a trend to report more self-control than those in the control group. Implications of these findings are discussed.

Process attributes in bio-ontologies

Directory of Open Access Journals (Sweden)

Andrade André Q

2012-08-01

Full Text Available Abstract Background Biomedical processes can provide essential information about the (mal- functioning of an organism and are thus frequently represented in biomedical terminologies and ontologies, including the GO Biological Process branch. These processes often need to be described and categorised in terms of their attributes, such as rates or regularities. The adequate representation of such process attributes has been a contentious issue in bio-ontologies recently; and domain ontologies have correspondingly developed ad hoc workarounds that compromise interoperability and logical consistency. Results We present a design pattern for the representation of process attributes that is compatible with upper ontology frameworks such as BFO and BioTop. Our solution rests on two key tenets: firstly, that many of the sorts of process attributes which are biomedically interesting can be characterised by the ways that repeated parts of such processes constitute, in combination, an overall process; secondly, that entities for which a full logical definition can be assigned do not need to be treated as primitive within a formal ontology framework. We apply this approach to the challenge of modelling and automatically classifying examples of normal and abnormal rates and patterns of heart beating processes, and discuss the expressivity required in the underlying ontology representation language. We provide full definitions for process attributes at increasing levels of domain complexity. Conclusions We show that a logical definition of process attributes is feasible, though limited by the expressivity of DL languages so that the creation of primitives is still necessary. This finding may endorse current formal upper-ontology frameworks as a way of ensuring consistency, interoperability and clarity.

Research on faults data processing and attributes reduction arithmetic based on data mining for nuclear power plants

International Nuclear Information System (INIS)

Liu Yongkuo; Xie Chunli; Xia Hong

2010-01-01

A distance standardized method is proposed considering the features of fault data of nuclear power plants and based on the knowledge discovery function of the data mining method, to standardize the data under different condition and of different order magnitudes. According to the characteristics of parameters, the parameters are dispersed using the alarm values, as a reference for the choice of the break points of the discrete data.The data are reduced using the concept lattice attribute reduction method, and thus the core attributes, relative necessary attributes and unnecessary attributes for fault diagnosis are obtained. The data in literature are calculated and the attributes are classified accurately. When the formal context is affirmatory, the fault can be diagnosed exactly using the core attributes. (authors)

Zirconium-barrier cladding attributes

International Nuclear Information System (INIS)

Rosenbaum, H.S.; Rand, R.A.; Tucker, R.P.; Cheng, B.; Adamson, R.B.; Davies, J.H.; Armijo, J.S.; Wisner, S.B.

1987-01-01

This metallurgical study of Zr-barrier fuel cladding evaluates the importance of three salient attributes: (1) metallurgical bond between the zirconium liner and the Zircaloy substrate, (2) liner thickness (roughly 10% of the total cladding wall), and (3) softness (purity). The effect that each of these attributes has on the pellet-cladding interaction (PCI) resistance of the Zr-barrier fuel was studied by a combination of analytical model calculations and laboratory experiments using an expanding mandrel technique. Each of the attributes is shown to contribute to PCI resistance. The effect of the zirconium liner on fuel behavior during off-normal events in which steam comes in contact with the zirconium surface was studied experimentally. Simulations of loss-of-coolant accident (LOCA) showed that the behavior of Zr-barrier cladding is virtually indistinguishable from that of conventional Zircaloy cladding. If steam contacts the zirconium liner surface through a cladding perforation and the fuel rod is operated under normal power conditions, the zirconium liner is oxidized more rapidly than is Zircaloy, but the oxidation rate returns to the rate of Zircaloy oxidation when the oxide phase reaches the zirconium-Zircaloy metallurgical bond

Demands on attention and the role of response priming in visual discrimination of feature conjunctions.

Science.gov (United States)

Fournier, Lisa R; Herbert, Rhonda J; Farris, Carrie

2004-10-01

This study examined how response mapping of features within single- and multiple-feature targets affects decision-based processing and attentional capacity demands. Observers judged the presence or absence of 1 or 2 target features within an object either presented alone or with distractors. Judging the presence of 2 features relative to the less discriminable of these features alone was faster (conjunction benefits) when the task-relevant features differed in discriminability and were consistently mapped to responses. Conjunction benefits were attributed to asynchronous decision priming across attended, task-relevant dimensions. A failure to find conjunction benefits for disjunctive conjunctions was attributed to increased memory demands and variable feature-response mapping for 2- versus single-feature targets. Further, attentional demands were similar between single- and 2-feature targets when response mapping, memory demands, and discriminability of the task-relevant features were equated between targets. Implications of the findings for recent attention models are discussed. (c) 2004 APA, all rights reserved

Constraint-based Attribute and Interval Planning

Science.gov (United States)

Jonsson, Ari; Frank, Jeremy

2013-01-01

In this paper we describe Constraint-based Attribute and Interval Planning (CAIP), a paradigm for representing and reasoning about plans. The paradigm enables the description of planning domains with time, resources, concurrent activities, mutual exclusions among sets of activities, disjunctive preconditions and conditional effects. We provide a theoretical foundation for the paradigm, based on temporal intervals and attributes. We then show how the plans are naturally expressed by networks of constraints, and show that the process of planning maps directly to dynamic constraint reasoning. In addition, we de ne compatibilities, a compact mechanism for describing planning domains. We describe how this framework can incorporate the use of constraint reasoning technology to improve planning. Finally, we describe EUROPA, an implementation of the CAIP framework.

Causal Attributions for Poverty in Developing Countries

OpenAIRE

José Juan Vázquez; Sonia Panadero

2009-01-01

This paper analyzes attributional differences about causes of poverty in the less developed countries, among Nicaraguan ("actors") and Spanish ("observers") undergraduates. A self–applied questionnaire was used. It included socio–demographic questions and an adaptation of the "Causes of Third World Poverty Questionnaire" (CTWPQ). Results show agreement between Spanish and Nicaraguan in attributions about the main causes of poverty in the less developed countries, although there are difference...

Decomposing price differentials due to ENERGY STARR labels and energy efficiency features in appliances: proxy for market share tracking?

International Nuclear Information System (INIS)

Gardner, John; Skumatz, Lisa A.

2005-01-01

This paper summarizes recent work using statistical methods to examine the portions of the apparent price differences for a variety of appliances that are attributable to efficiency labels or components of efficient measures. The work stems from research examining progress in market transformation. The goal was to monitor market progress in the premium associated with efficient equipment compared to standard equipment - and potentially track these changes (hopefully, according to logic, declining) over time. However, the incremental cost metric is always confounded by the fact that the 'feature bundle' on appliances and lighting is not consistent ( i.e. , many efficient products are loaded up with other, high-end features). Based on work conducted by the authors some years ago, we adapted statistical models to decompose the price differentials for efficient and standard refrigerators, clothes washers, and dish washers. The authors used site visits and web searches to gather data on appliance prices and features for a set of efficient and standard models. The authors first examined apparent (raw) price differentials between efficient and standard models. Then, using regression techniques to control for differences in features on the measures, the differences attributable to various features - and in particular to energy efficient features and logos - were estimated. The results showed that while the apparent (gross) price differences for efficient measures are high, the percentage and dollar differences decrease dramatically when the price differences statistically attributable to other features of the measure are accounted for. The work illustrates a promising approach for three important applications in program planning and evaluation: tracking market progress within and between states or service territories, using a proxy variable that is less expensive and complicated to measure than direct indicators of sales or market share, identifying appropriate levels for

Searchable attribute-based encryption scheme with attribute revocation in cloud storage.

Science.gov (United States)

Wang, Shangping; Zhao, Duqiao; Zhang, Yaling

2017-01-01

Attribute based encryption (ABE) is a good way to achieve flexible and secure access control to data, and attribute revocation is the extension of the attribute-based encryption, and the keyword search is an indispensable part for cloud storage. The combination of both has an important application in the cloud storage. In this paper, we construct a searchable attribute-based encryption scheme with attribute revocation in cloud storage, the keyword search in our scheme is attribute based with access control, when the search succeeds, the cloud server returns the corresponding cipher text to user and the user can decrypt the cipher text definitely. Besides, our scheme supports multiple keywords search, which makes the scheme more practical. Under the assumption of decisional bilinear Diffie-Hellman exponent (q-BDHE) and decisional Diffie-Hellman (DDH) in the selective security model, we prove that our scheme is secure.

Actors, observers, and causal attributions of homelessness: Differences in attribution for the causes of homelessness among domiciled and homeless people in Madrid (Spain).

Science.gov (United States)

Vázquez, José Juan; Panadero, Sonia; Zúñiga, Claudia

2017-01-01

The study analyzes the differences in causal attributions of homelessness and attributions of responsibility among the members of 3 groups: homeless group, consisting of a representative sample of homeless people in Madrid, Spain (n = 188); domiciled service-users group, consisting of people at risk of homelessness (n = 164); and domiciled nonservice-users group, consisting of people at no imminent risk of homelessness (n = 180). The domiciled service-users group and domiciled nonservice-users group were matched to the homeless group or sex, age, and nationality. The article also analyzes homeless people's causal attributions as regards their own situation. The results show that compared with the domiciled nonservice-users group, a higher percentage of members of the homeless group and domiciled service-users group attributed homelessness to individualistic causes and they blamed homeless people for their situation to a greater extent. The results also show that there was no "actor-observer bias" in causal attributions for homelessness in Madrid. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Mining consumer reviews to generate ratings of different product attributes while producing feature-based review-summary

Science.gov (United States)

Kangale, Akshay; Krishna Kumar, S.; Arshad Naeem, Mohd; Williams, Mark; Tiwari, M. K.

2016-10-01

With the massive growth of the internet, product reviews increasingly serve as an important source of information for customers to make choices online. Customers depend on these reviews to understand users' experience, and manufacturers rely on this user-generated content to capture user sentiments about their product. Therefore, it is in the best interest of both customers and manufacturers to have a portal where they can read a complete comprehensive summary of these reviews in minimum time. With this in mind, we arrived at our first objective which is to generate a feature-based review-summary. Our second objective is to develop a predictive model to know the next week's product sales based on numerical review ratings and textual features embedded in the reviews. When it comes to product features, every user has different priorities for different features. To capture this aspect of decision-making, we have designed a new mechanism to generate a numerical rating for every feature of the product individually. The data have been collected from a well-known commercial website for two different products. The validation of the model is carried out using a crowd-sourcing technique.

From automata to animate beings: the scope and limits of attributing socialness to artificial agents.

Science.gov (United States)

Hortensius, Ruud; Cross, Emily S

2018-05-11

Understanding the mechanisms and consequences of attributing socialness to artificial agents has important implications for how we can use technology to lead more productive and fulfilling lives. Here, we integrate recent findings on the factors that shape behavioral and brain mechanisms that support social interactions between humans and artificial agents. We review how visual features of an agent, as well as knowledge factors within the human observer, shape attributions across dimensions of socialness. We explore how anthropomorphism and dehumanization further influence how we perceive and interact with artificial agents. Based on these findings, we argue that the cognitive reconstruction within the human observer is likely to be far more crucial in shaping our interactions with artificial agents than previously thought, while the artificial agent's visual features are possibly of lesser importance. We combine these findings to provide an integrative theoretical account based on the "like me" hypothesis, and discuss the key role played by the Theory-of-Mind network, especially the temporal parietal junction, in the shift from mechanistic to social attributions. We conclude by highlighting outstanding questions on the impact of long-term interactions with artificial agents on the behavioral and brain mechanisms of attributing socialness to these agents. © 2018 New York Academy of Sciences.

Adopting the perspective of another in belief attribution: contribution of Relational Frame Theory to the understanding of impairments in schizophrenia.

Science.gov (United States)

Villatte, Matthieu; Monestès, Jean-Louis; McHugh, Louise; Freixa i Baqué, Esteve; Loas, Gwenolé

2010-06-01

Impaired ability of identifying mental states is a characteristic of schizophrenia spectrum disorders. In particular, people suffering from this illness tend to fail at attributing a belief to another, which has been linked to difficulties in changing interpersonal perspective. Following the view of Relational Frame Theory on perspective-taking skills, the current study aimed at examining the involvement of social anhedonia, one of the frequent features of schizophrenia, in the development of deficits in reversing the I-YOU relation (i.e., adopting the perspective of another). A task consisting of attributing a belief to another or to the self was employed with 30 non-clinical participants with a high level of social anhedonia and with 15 patients diagnosed with schizophrenia. In comparison to two control groups, both experimental groups showed significant poorer performance when adopting the perspective of another. These results constitute important indications to target specific relational repertoires when attempting to remediate impairments in mental states attribution linked to schizophrenia.

Non-binding relationship between visual features

Directory of Open Access Journals (Sweden)

Dragan eRangelov

2014-10-01

Full Text Available The answer as to how visual attributes processed in different brain loci at different speeds are bound together to give us our unitary experience of the visual world remains unknown. In this study we investigated whether bound representations arise, as commonly assumed, through physiological interactions between cells in the visual areas. In a focal attentional task in which correct responses from either bound or unbound representations were possible, participants discriminated the colour or orientation of briefly presented single bars. On the assumption that representations of the two attributes are bound, the accuracy of reporting the colour and orientation should co-vary. By contrast, if the attributes are not mandatorily bound, the accuracy of reporting the two attributes should be independent. The results of our psychophysical studies reported here supported the latter, non-binding, relationship between visual features, suggesting that binding does not necessarily occur even under focal attention. We propose a task-contingent binding mechanism, postulating that binding occurs at late, post-perceptual, stages through the intervention of memory.

Attributional processes in the learned helplessness paradigm: behavioral effects of global attributions.

Science.gov (United States)

Mikulincer, M

1986-12-01

Following the learned helplessness paradigm, I assessed in this study the effects of global and specific attributions for failure on the generalization of performance deficits in a dissimilar situation. Helplessness training consisted of experience with noncontingent failures on four cognitive discrimination problems attributed to either global or specific causes. Experiment 1 found that performance in a dissimilar situation was impaired following exposure to globally attributed failure. Experiment 2 examined the behavioral effects of the interaction between stable and global attributions of failure. Exposure to unsolvable problems resulted in reduced performance in a dissimilar situation only when failure was attributed to global and stable causes. Finally, Experiment 3 found that learned helplessness deficits were a product of the interaction of global and internal attribution. Performance deficits following unsolvable problems were recorded when failure was attributed to global and internal causes. Results were discussed in terms of the reformulated learned helplessness model.

5-D interpolation with wave-front attributes

Science.gov (United States)

Xie, Yujiang; Gajewski, Dirk

2017-11-01

Most 5-D interpolation and regularization techniques reconstruct the missing data in the frequency domain by using mathematical transforms. An alternative type of interpolation methods uses wave-front attributes, that is, quantities with a specific physical meaning like the angle of emergence and wave-front curvatures. In these attributes structural information of subsurface features like dip and strike of a reflector are included. These wave-front attributes work on 5-D data space (e.g. common-midpoint coordinates in x and y, offset, azimuth and time), leading to a 5-D interpolation technique. Since the process is based on stacking next to the interpolation a pre-stack data enhancement is achieved, improving the signal-to-noise ratio (S/N) of interpolated and recorded traces. The wave-front attributes are determined in a data-driven fashion, for example, with the Common Reflection Surface (CRS method). As one of the wave-front-attribute-based interpolation techniques, the 3-D partial CRS method was proposed to enhance the quality of 3-D pre-stack data with low S/N. In the past work on 3-D partial stacks, two potential problems were still unsolved. For high-quality wave-front attributes, we suggest a global optimization strategy instead of the so far used pragmatic search approach. In previous works, the interpolation of 3-D data was performed along a specific azimuth which is acceptable for narrow azimuth acquisition but does not exploit the potential of wide-, rich- or full-azimuth acquisitions. The conventional 3-D partial CRS method is improved in this work and we call it as a wave-front-attribute-based 5-D interpolation (5-D WABI) as the two problems mentioned above are addressed. Data examples demonstrate the improved performance by the 5-D WABI method when compared with the conventional 3-D partial CRS approach. A comparison of the rank-reduction-based 5-D seismic interpolation technique with the proposed 5-D WABI method is given. The comparison reveals that

Authorship attribution of source code by using back propagation neural network based on particle swarm optimization.

Science.gov (United States)

Yang, Xinyu; Xu, Guoai; Li, Qi; Guo, Yanhui; Zhang, Miao

2017-01-01

Authorship attribution is to identify the most likely author of a given sample among a set of candidate known authors. It can be not only applied to discover the original author of plain text, such as novels, blogs, emails, posts etc., but also used to identify source code programmers. Authorship attribution of source code is required in diverse applications, ranging from malicious code tracking to solving authorship dispute or software plagiarism detection. This paper aims to propose a new method to identify the programmer of Java source code samples with a higher accuracy. To this end, it first introduces back propagation (BP) neural network based on particle swarm optimization (PSO) into authorship attribution of source code. It begins by computing a set of defined feature metrics, including lexical and layout metrics, structure and syntax metrics, totally 19 dimensions. Then these metrics are input to neural network for supervised learning, the weights of which are output by PSO and BP hybrid algorithm. The effectiveness of the proposed method is evaluated on a collected dataset with 3,022 Java files belong to 40 authors. Experiment results show that the proposed method achieves 91.060% accuracy. And a comparison with previous work on authorship attribution of source code for Java language illustrates that this proposed method outperforms others overall, also with an acceptable overhead.

Post-cranial skeletons of hypothyroid cretins show a similar anatomical mosaic as Homo floresiensis.

Science.gov (United States)

Oxnard, Charles; Obendorf, Peter J; Kefford, Ben J

2010-09-27

Human remains, some as recent as 15 thousand years, from Liang Bua (LB) on the Indonesian island of Flores have been attributed to a new species, Homo floresiensis. The definition includes a mosaic of features, some like modern humans (hence derived: genus Homo), some like modern apes and australopithecines (hence primitive: not species sapiens), and some unique (hence new species: floresiensis). Conversely, because only modern humans (H. sapiens) are known in this region in the last 40 thousand years, these individuals have also been suggested to be genetic human dwarfs. Such dwarfs resemble small humans and do not show the mosaic combination of the most complete individuals, LB1 and LB6, so this idea has been largely dismissed. We have previously shown that some features of the cranium of hypothyroid cretins are like those of LB1. Here we examine cretin postcrania to see if they show anatomical mosaics like H. floresiensis. We find that hypothyroid cretins share at least 10 postcranial features with Homo floresiensis and unaffected humans not found in apes (or australopithecines when materials permit). They share with H. floresiensis, modern apes and australopithecines at least 11 postcranial features not found in unaffected humans. They share with H. floresiensis, at least 8 features not found in apes, australopithecines or unaffected humans. Sixteen features can be rendered metrically and multivariate analyses demonstrate that H. floresiensis co-locates with cretins, both being markedly separate from humans and chimpanzees (P0.999). We therefore conclude that LB1 and LB6, at least, are, most likely, endemic cretins from a population of unaffected Homo sapiens. This is consistent with recent hypothyroid endemic cretinism throughout Indonesia, including the nearby island of Bali.

Post-cranial skeletons of hypothyroid cretins show a similar anatomical mosaic as Homo floresiensis.

Directory of Open Access Journals (Sweden)

Charles Oxnard

Full Text Available Human remains, some as recent as 15 thousand years, from Liang Bua (LB on the Indonesian island of Flores have been attributed to a new species, Homo floresiensis. The definition includes a mosaic of features, some like modern humans (hence derived: genus Homo, some like modern apes and australopithecines (hence primitive: not species sapiens, and some unique (hence new species: floresiensis. Conversely, because only modern humans (H. sapiens are known in this region in the last 40 thousand years, these individuals have also been suggested to be genetic human dwarfs. Such dwarfs resemble small humans and do not show the mosaic combination of the most complete individuals, LB1 and LB6, so this idea has been largely dismissed. We have previously shown that some features of the cranium of hypothyroid cretins are like those of LB1. Here we examine cretin postcrania to see if they show anatomical mosaics like H. floresiensis. We find that hypothyroid cretins share at least 10 postcranial features with Homo floresiensis and unaffected humans not found in apes (or australopithecines when materials permit. They share with H. floresiensis, modern apes and australopithecines at least 11 postcranial features not found in unaffected humans. They share with H. floresiensis, at least 8 features not found in apes, australopithecines or unaffected humans. Sixteen features can be rendered metrically and multivariate analyses demonstrate that H. floresiensis co-locates with cretins, both being markedly separate from humans and chimpanzees (P0.999. We therefore conclude that LB1 and LB6, at least, are, most likely, endemic cretins from a population of unaffected Homo sapiens. This is consistent with recent hypothyroid endemic cretinism throughout Indonesia, including the nearby island of Bali.

Extending Attribution Theory: Considering Students' Perceived Control of the Attribution Process

Science.gov (United States)

Fishman, Evan J.; Husman, Jenefer

2017-01-01

Research in attribution theory has shown that students' causal thinking profoundly affects their learning and motivational outcomes. Very few studies, however, have explored how students' attribution-related beliefs influence the causal thought process. The present study used the perceived control of the attribution process (PCAP) model to examine…

Changing US Attributes After CS-US Pairings Changes CS-Attribute-Assessments: Evidence for CS-US Associations in Attribute Conditioning.

Science.gov (United States)

Förderer, Sabine; Unkelbach, Christian

2016-03-01

Attribute Conditioning (AC) refers to people's changed assessments of stimuli's (CSs) attributes due to repeated pairing with stimuli (USs) possessing these attributes; for example, when an athletic person (US) is paired with a neutral person (CS), the neutral person is judged to be more athletic after the pairing. We hypothesize that this AC effect is due to CSs' associations with USs rather than direct associations with attributes. Three experiments test this hypothesis by changing US attributes after CS-US pairings. Experiments 1 and 2 conditioned athleticism by pairing neutral men (CSs) with athletic and non-athletic USs. Post-conditioning, USs' athleticism was reversed, which systematically influenced participants' assessment of CS athleticism. Experiment 3 conditioned athleticism and changed USs' musicality after CS-US pairings. This post-conditioning change affected musicality assessments of CSs but did not influence athleticism-assessments. The results indicate that AC effects are based on an associative CS-US-attribute structure. © 2016 by the Society for Personality and Social Psychology, Inc.

Attribute amnesia is greatly reduced with novel stimuli

Directory of Open Access Journals (Sweden)

Weijia Chen

2017-11-01

Full Text Available Attribute amnesia is the counterintuitive phenomenon where observers are unable to report a salient aspect of a stimulus (e.g., its colour or its identity immediately after the stimulus was presented, despite both attending to and processing the stimulus. Almost all previous attribute amnesia studies used highly familiar stimuli. Our study investigated whether attribute amnesia would also occur for unfamiliar stimuli. We conducted four experiments using stimuli that were highly familiar (colours or repeated animal images or that were unfamiliar to the observers (unique animal images. Our results revealed that attribute amnesia was present for both sets of familiar stimuli, colour (p < .001 and repeated animals (p = .001; but was greatly attenuated, and possibly eliminated, when the stimuli were unique animals (p = .02. Our data shows that attribute amnesia is greatly reduced for novel stimuli.

Extraction of auditory features and elicitation of attributes for the assessment of multi-channel reproduced sound

DEFF Research Database (Denmark)

Choisel, Sylvain; Wickelmaier, Florian Maria

2005-01-01

), subjects were asked to directly assign verbal labels to the features when encountering them and to subsequently rate the sounds on the scales thus obtained. The second method requires the subjects to consistently identify the perceptually relevant features before assigning them a verbal label. Under...

Extraction of auditory features and elicitation of attributes for the assessment of multi-channel reproduced sound

DEFF Research Database (Denmark)

Choisel, Sylvain; Wickelmaier, Florian

2005-01-01

), subjects were asked to directly assign verbal labels to the features when encountering them, and to subsequently rate the sounds on the scales thus obtained. The second method requires the subjects to consistently identify the perceptually relevant features before assigning them a verbal label. Under...

The Incorporation of Quality Attributes into Online Course Design in Higher Education

Science.gov (United States)

Lenert, Kathleen Anne; Diane P. Janes

2017-01-01

A survey was designed incorporating questions on 28 attributes (compiled through a literature review) and considered to be quality features in online academic courses in higher education. This study sought to investigate the ongoing practice of instructional designers and instructors in the United States with respect to their incorporation of…

Pulmonary alveolar proteinosis versus exogenous lipoid pneumonia showing crazy-paving pattern: Comparison of their clinical features and high-resolution CT findings

Energy Technology Data Exchange (ETDEWEB)

Choi, Hei Kyung; Park, Chang Min; Goo, Jin Mo; Lee, Hyun Ju (Dept. of Radiology, Seoul National Univ. College of Medicine, and Inst. of Radiation Medicine, Seoul National Univ. Medical Research Center, Seoul (Korea)), e-mail: cmpark@radiol.snu.ac.kr

2010-05-15

Background: Although pulmonary alveolar proteinosis (PAP) and exogenous lipoid pneumonia (ELP) require different treatment strategies, both manifest as a crazy-paving pattern on CT and often have similar clinical manifestations and radiologic features. Purpose: To investigate the clinical features and high-resolution computed tomography (HRCT) findings of PAP and ELP showing the crazy-paving pattern. Material and Methods: The clinical features and HRCT findings of eight patients with pathologically proven PAP and six patients with pathologically proven ELP showing the crazy-paving pattern were retrospectively evaluated. Two radiologists analyzed the HRCT findings of PAP and ELP in consensus in terms of the presence, severity, and extent of illdefined centrilobular nodules, consolidations, ground-glass opacities (GGOs), reticulations, and the crazy-paving pattern. Results: With respect to the clinical features of these two diseases, all patients with ELP were retrospectively found to have a history of oil ingestion. In terms of the HRCT findings, ill-defined centrilobular nodules were seen in five of six patients (83%) with ELP, whereas they were not present in any patient with PAP (P=0.003). Consolidation was also more frequently present in patients with ELP (83%) than in those with PAP (11%), which was statistically different (P=0.0265). In terms of the severity and extent, the crazy-paving pattern and reticulations on HRCT were significantly more extensive and severe in patients with PAP than in those with ELP. Conclusion: PAP and ELP with the crazy-paving pattern have several distinctive characteristics with respect to their HRCT findings as well as history of oil ingestion, and can therefore be distinguished from one another

Attributional "Tunnel Vision" in Patients With Borderline Personality Disorder.

Science.gov (United States)

Schilling, Lisa; Moritz, Steffen; Schneider, Brooke; Bierbrodt, Julia; Nagel, Matthias

2015-12-01

We aimed to examine the profile of interpersonal attributions in BPD. We hypothesized that patients show more mono-causal and internal attributions than healthy controls. A revised version of the Internal, Personal, Situational and Attributions Questionnaire was assessed in 30 BPD patients and 30 healthy controls. BPD patients and controls differed significantly in their attributional pattern. Patients displayed more mono-causal inferences, that is, they had difficulties considering alternative explanatory factors. For negative events, patients made more internal attributions compared to healthy controls. We concluded that mono-causal "trapped" thinking might contribute to (interpersonal) problems in BPD patients by fostering impulsive consequential behaviors, for example, harming one's self or others. A self-blaming tendency likely promotes depressive symptoms and low self-esteem.

Hooke's figurations: a figural drawing attributed to Robert Hooke.

Science.gov (United States)

Hunter, Matthew C

2010-09-20

The experimental philosopher Robert Hooke (1635-1703) is known to have apprenticed to the leading painter Peter Lely on his first arrival in London in the late 1640s. Yet the relevance of Hooke's artistic training to his mature draughtsmanship and identity has remained unclear. Shedding light on that larger interpretive problem, this article argues for the attribution to Hooke of a figural drawing now in Tate Britain (T10678). This attributed drawing is especially interesting because it depicts human subjects and bears Hooke's name functioning as an artistic signature, both highly unusual features for his draughtsmanship. From evidence of how this drawing was collected and physically placed alongside images by leading artists in the early eighteenth century, I suggest how it can offer new insight into the reception of Hooke and his graphic work in the early Enlightenment.

Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection

Science.gov (United States)

Wang, Haibo; Cruz-Roa, Angel; Basavanhally, Ajay; Gilmore, Hannah; Shih, Natalie; Feldman, Mike; Tomaszewski, John; Gonzalez, Fabio; Madabhushi, Anant

2014-03-01

Breast cancer (BCa) grading plays an important role in predicting disease aggressiveness and patient outcome. A key component of BCa grade is mitotic count, which involves quantifying the number of cells in the process of dividing (i.e. undergoing mitosis) at a specific point in time. Currently mitosis counting is done manually by a pathologist looking at multiple high power fields on a glass slide under a microscope, an extremely laborious and time consuming process. The development of computerized systems for automated detection of mitotic nuclei, while highly desirable, is confounded by the highly variable shape and appearance of mitoses. Existing methods use either handcrafted features that capture certain morphological, statistical or textural attributes of mitoses or features learned with convolutional neural networks (CNN). While handcrafted features are inspired by the domain and the particular application, the data-driven CNN models tend to be domain agnostic and attempt to learn additional feature bases that cannot be represented through any of the handcrafted features. On the other hand, CNN is computationally more complex and needs a large number of labeled training instances. Since handcrafted features attempt to model domain pertinent attributes and CNN approaches are largely unsupervised feature generation methods, there is an appeal to attempting to combine these two distinct classes of feature generation strategies to create an integrated set of attributes that can potentially outperform either class of feature extraction strategies individually. In this paper, we present a cascaded approach for mitosis detection that intelligently combines a CNN model and handcrafted features (morphology, color and texture features). By employing a light CNN model, the proposed approach is far less demanding computationally, and the cascaded strategy of combining handcrafted features and CNN-derived features enables the possibility of maximizing performance by

Gender Attribution and Gender Agreement in French Williams Syndrome

Science.gov (United States)

Boloh, Yves; Ibernon, Laure; Royer, Stephanie; Escudier, Frederique; Danillon, Aurelia

2009-01-01

Previous studies on grammatical gender in French individuals with Williams syndrome (WS) have led to conflicting findings and interpretations regarding keys abilities--gender attribution and gender agreement. New production data from a larger SW sample (N = 24) showed that gender attribution scores in SW participants exactly mirrored those of…

Attribute And-Or Grammar for Joint Parsing of Human Pose, Parts and Attributes.

Science.gov (United States)

Park, Seyoung; Nie, Xiaohan; Zhu, Song-Chun

2017-07-25

This paper presents an attribute and-or grammar (A-AOG) model for jointly inferring human body pose and human attributes in a parse graph with attributes augmented to nodes in the hierarchical representation. In contrast to other popular methods in the current literature that train separate classifiers for poses and individual attributes, our method explicitly represents the decomposition and articulation of body parts, and account for the correlations between poses and attributes. The A-AOG model is an amalgamation of three traditional grammar formulations: (i)Phrase structure grammar representing the hierarchical decomposition of the human body from whole to parts; (ii)Dependency grammar modeling the geometric articulation by a kinematic graph of the body pose; and (iii)Attribute grammar accounting for the compatibility relations between different parts in the hierarchy so that their appearances follow a consistent style. The parse graph outputs human detection, pose estimation, and attribute prediction simultaneously, which are intuitive and interpretable. We conduct experiments on two tasks on two datasets, and experimental results demonstrate the advantage of joint modeling in comparison with computing poses and attributes independently. Furthermore, our model obtains better performance over existing methods for both pose estimation and attribute prediction tasks.

Attributional style and the generality of learned helplessness.

Science.gov (United States)

Alloy, L B; Peterson, C; Abramson, L Y; Seligman, M E

1984-03-01

According to the logic of the attribution reformulation of learned helplessness, the interaction of two factors influences whether helplessness experienced in one situation will transfer to a new situation. The model predicts that people who exhibit a style of attributing negative outcomes to global factors will show helplessness deficits in new situations that are either similar or dissimilar to the original situation in which they were helpless. In contrast, people who exhibit a style of attributing negative outcomes to only specific factors will show helplessness deficits in situations that are similar, but not dissimilar, to the original situation in which they were helpless. To test these predictions, we conducted two studies in which undergraduates with either a global or specific attributional style for negative outcomes were given one of three pretreatments in the typical helplessness triadic design: controllable bursts of noise, uncontrollable bursts of noise, or no noise. In Experiment 1, students were tested for helplessness deficits in a test situation similar to the pretreatment setting, whereas in Experiment 2, they were tested in a test situation dissimilar to the pretreatment setting. The findings were consistent with predictions of the reformulated helplessness theory.

Nonaggressive systemic mastocytosis (SM) without skin lesions associated with insect-induced anaphylaxis shows unique features versus other indolent SM.

Science.gov (United States)

Alvarez-Twose, Iván; Zanotti, Roberta; González-de-Olano, David; Bonadonna, Patrizia; Vega, Arantza; Matito, Almudena; Sánchez-Muñoz, Laura; Morgado, José Mário; Perbellini, Omar; García-Montero, Andrés; De Matteis, Giovanna; Teodósio, Cristina; Rossini, Maurizio; Jara-Acevedo, María; Schena, Donatella; Mayado, Andrea; Zamò, Alberto; Mollejo, Manuela; Sánchez-López, Paula; Cabañes, Nieves; Orfao, Alberto; Escribano, Luis

2014-02-01

Indolent systemic mastocytosis (ISM) without skin lesions (ISMs(-)) shows a higher prevalence in males, lower serum baseline tryptase levels, and KIT mutation more frequently restricted to bone marrow (BM) mast cells (MCs) than ISM with skin lesions (ISMs(+)). Interestingly, in almost one-half of ISMs(-) patients, MC-mediator release episodes are triggered exclusively by insects. We aimed to determine the clinical and laboratory features of ISMs(-) associated with insect-induced anaphylaxis (insectISMs(-)) versus other patients with ISM. A total of 335 patients presenting with MC activation syndrome, including 143 insectISMs(-), 72 ISMs(-) triggered by other factors (otherISMs(-)), 56 ISMs(+), and 64 nonclonal MC activation syndrome, were studied. Compared with otherISMs(-) and ISMs(+) patients, insectISMs(-) cases showed marked male predominance (78% vs 53% and 46%; P < .001), a distinct pattern of MC-related symptoms, and significantly lower median serum baseline tryptase levels (22.4 vs 28.7 and 45.8 μg/L; P ≤ .009). Moreover, insectISMs(-) less frequently presented BM MC aggregates (46% vs 70% and 81%; P ≤ .001), and they systematically showed MC-restricted KIT mutation. ISMs(-) patients with anaphylaxis triggered exclusively by insects display clinical and laboratory features that are significantly different from other ISM cases, including other ISMs(-) and ISMs(+) patients, suggesting that they represent a unique subgroup of ISM with a particularly low BM MC burden in the absence of adverse prognostic factors. Copyright © 2013 American Academy of Allergy, Asthma & Immunology. Published by Mosby, Inc. All rights reserved.

Flexible goal attribution in early mindreading.

Science.gov (United States)

Michael, John; Christensen, Wayne

2016-03-01

The 2-systems theory developed by Apperly and Butterfill (2009; Butterfill & Apperly, 2013) is an influential approach to explaining the success of infants and young children on implicit false-belief tasks. There is extensive empirical and theoretical work examining many aspects of this theory, but little attention has been paid to the way in which it characterizes goal attribution. We argue here that this aspect of the theory is inadequate. Butterfill and Apperly's characterization of goal attribution is designed to show how goals could be ascribed by infants without representing them as related to other psychological states, and the minimal mindreading system is supposed to operate without employing flexible semantic-executive cognitive processes. But research on infant goal attribution reveals that infants exhibit a high degree of situational awareness that is strongly suggestive of flexible semantic-executive cognitive processing, and infants appear moreover to be sensitive to interrelations between goals, preferences, and beliefs. Further, close attention to the structure of implicit mindreading tasks--for which the theory was specifically designed--indicates that flexible goal attribution is required to succeed. We conclude by suggesting 2 approaches to resolving these problems. (c) 2016 APA, all rights reserved).

Visualized attribute analysis approach for characterization and quantification of rice taste flavor using electronic tongue

Energy Technology Data Exchange (ETDEWEB)

Lu, Lin; Hu, Xianqiao [Rice Product Quality Supervision and Inspection Center, Ministry of Agriculture, China National Rice Research Institute, Hangzhou 310006 (China); Tian, Shiyi; Deng, Shaoping [College of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310035 (China); Zhu, Zhiwei, E-mail: 615834652@qq.com [Rice Product Quality Supervision and Inspection Center, Ministry of Agriculture, China National Rice Research Institute, Hangzhou 310006 (China)

2016-05-05

This paper deals with a novel visualized attributive analysis approach for characterization and quantification of rice taste flavor attributes (softness, stickiness, sweetness and aroma) employing a multifrequency large-amplitude pulse voltammetric electronic tongue. Data preprocessing methods including Principal Component Analysis (PCA) and Fast Fourier Transform (FFT) were provided. An attribute characterization graph was represented for visualization of the interactive response in which each attribute responded by specific electrodes and frequencies. The model was trained using signal data from electronic tongue and attribute scores from artificial evaluation. The correlation coefficients for all attributes were over 0.9, resulting in good predictive ability of attributive analysis model preprocessed by FFT. This approach extracted more effective information about linear relationship between electronic tongue and taste flavor attribute. Results indicated that this approach can accurately quantify taste flavor attributes, and can be an efficient tool for data processing in a voltammetric electronic tongue system. - Graphical abstract: Schematic process for visualized attributive analysis approach using multifrequency large-amplitude pulse voltammetric electronic tongue for determination of rice taste flavor attribute. (a) sample; (b) sensors in electronic tongue; (c) excitation voltage program and response current signal from MLAPS; (d) similarity data matrix by data preprocessing and similarity extraction; (e) feature data matrix of attribute; (f) attribute characterization graph; (g) attribute scores predicted by the model. - Highlights: • Multifrequency large-amplitude pulse voltammetric electronic tongue was used. • A visualized attributive analysis approach was created as an efficient tool for data processing. • Rice taste flavor attribute was determined and predicted. • The attribute characterization graph was represented for visualization of the

Tree species classification using within crown localization of waveform LiDAR attributes

Science.gov (United States)

Blomley, Rosmarie; Hovi, Aarne; Weinmann, Martin; Hinz, Stefan; Korpela, Ilkka; Jutzi, Boris

2017-11-01

Since forest planning is increasingly taking an ecological, diversity-oriented perspective into account, remote sensing technologies are becoming ever more important in assessing existing resources with reduced manual effort. While the light detection and ranging (LiDAR) technology provides a good basis for predictions of tree height and biomass, tree species identification based on this type of data is particularly challenging in structurally heterogeneous forests. In this paper, we analyse existing approaches with respect to the geometrical scale of feature extraction (whole tree, within crown partitions or within laser footprint) and conclude that currently features are always extracted separately from the different scales. Since multi-scale approaches however have proven successful in other applications, we aim to utilize the within-tree-crown distribution of within-footprint signal characteristics as additional features. To do so, a spin image algorithm, originally devised for the extraction of 3D surface features in object recognition, is adapted. This algorithm relies on spinning an image plane around a defined axis, e.g. the tree stem, collecting the number of LiDAR returns or mean values of returns attributes per pixel as respective values. Based on this representation, spin image features are extracted that comprise only those components of highest variability among a given set of library trees. The relative performance and the combined improvement of these spin image features with respect to non-spatial statistical metrics of the waveform (WF) attributes are evaluated for the tree species classification of Scots pine (Pinus sylvestris L.), Norway spruce (Picea abies (L.) Karst.) and Silver/Downy birch (Betula pendula Roth/Betula pubescens Ehrh.) in a boreal forest environment. This evaluation is performed for two WF LiDAR datasets that differ in footprint size, pulse density at ground, laser wavelength and pulse width. Furthermore, we evaluate the

Zero-Shot Learning by Generating Pseudo Feature Representations

OpenAIRE

Lu, Jiang; Li, Jin; Yan, Ziang; Zhang, Changshui

2017-01-01

Zero-shot learning (ZSL) is a challenging task aiming at recognizing novel classes without any training instances. In this paper we present a simple but high-performance ZSL approach by generating pseudo feature representations (GPFR). Given the dataset of seen classes and side information of unseen classes (e.g. attributes), we synthesize feature-level pseudo representations for novel concepts, which allows us access to the formulation of unseen class predictor. Firstly we design a Joint Att...

Prototypic Features of Loneliness in a Stratified Sample of Adolescents

DEFF Research Database (Denmark)

Lasgaard, Mathias; Elklit, Ask

2009-01-01

Dominant theoretical approaches in loneliness research emphasize the value of personality characteristics in explaining loneliness. The present study examines whether dysfunctional social strategies and attributions in lonely adolescents can be explained by personality characteristics...... guidance and intervention. Thus, professionals need to be knowledgeable about prototypic features of loneliness in addition to employing a pro-active approach when assisting adolescents who display prototypic features....

Malformations among 289,365 Births Attributed to Mutations with Autosomal Dominant and Recessive and X-Linked Inheritance.

Science.gov (United States)

Toufaily, M Hassan; Westgate, Marie-Noel; Nasri, Hanah; Holmes, Lewis B

2018-01-01

The number of malformations attributed to mutations with autosomal or X-linked patterns of inheritance has increased steadily since the cataloging began in the 1960s. These diagnoses have been based primarily on the pattern of phenotypic features among close relatives. A malformations surveillance program conducted in consecutive pregnancies can identify both known and "new" hereditary disorders. The Active Malformations Surveillance Program was carried out among 289,365 births over 41 years (1972-2012) at Brigham and Women's Hospital in Boston. The findings recorded by examining pediatricians and all consultants were reviewed by study clinicians to establish the most likely diagnoses. The findings in laboratory testing in the newborn period were reviewed, as well. One hundred ninety-six (0.06%) infants among 289,365 births had a malformation or malformation syndrome that was attributed to Mendelian inheritance. A total of 133 (68%) of the hereditary malformations were attributed to autosomal dominant inheritance, with 94 (71%) attributed to apparent spontaneous mutations. Forty-six (23%) were attributed to mutations with autosomal recessive inheritance, 17 associated with consanguinity. Seventeen (9%) were attributed to X-linked inheritance. Fifteen novel familial phenotypes were identified. The family histories showed that most (53 to 71%) of the affected infants were born, as a surprise, to healthy, unaffected parents. It is important for clinicians to discuss with surprised healthy parents how they can have an infant with an hereditary condition. Future studies, using DNA samples from consecutive populations of infants with malformations and whole genome sequencing, will identify many more mutations in loci associated with mendelizing phenotypes. Birth Defects Research 110:92-97, 2018.© 2018 Wiley Periodicals, Inc. © 2018 Wiley Periodicals, Inc.

Acute headache and persistent headache attributed to cervical artery dissection

DEFF Research Database (Denmark)

Schytz, Henrik W; Ashina, Messoud; Magyari, Melinda

2014-01-01

for Headache or facial or neck pain attributed to cervical carotid or vertebral artery dissection or Headache attributed to intracranial arterial dissection. Six months after dissection five of 19 patients still reported persistent headache attributed to dissection. The study demonstrates that the ICHD......The criteria for headache attributed to cervical artery dissection have been changed in the new third edition of the International Classification of Headache Disorders (ICHD-III beta). We have retrospectively investigated 19 patients diagnosed from 2001 to 2006 with cervical artery dissection......-III beta criteria for cervical artery dissection are useful for classifying patients at the first encounter. We show for the first time that persistent headache attributed to arterial dissection is frequent....

Mental Toughness Attributes of Junior Level Medalist Badminton Players

Directory of Open Access Journals (Sweden)

Varghese C. Antony

2016-10-01

Full Text Available The study aims to compare the mental toughness attributes between medalist and non-medalist badminton players and between male and female players. Participants were 15 male and 15 female badminton players aged between 13-19 years (M= 15.71, SD=2.82. Mental toughness questionnaire of Tiwari and Sharma was administered and the data were analyzed by using descriptive statistics and t-test. Medalist players have exhibited higher mean values on self-confidence, attention control, motivation and goal setting attributes. Overall mental toughness of medalists was higher 180.80±17.15 than non-medalists 170.25±20.10. Comparison analysis showed significant difference between medalists and non-medalists on mental toughness attributes: Self-confidence (SCO: p=0.001<0.05, medalists scored (M±SD=31.33±2.10 higher than non-medalists; motivation (MOT: p=0.006<0.05, medalist scored higher (M±SD=33.50±4.07; goal setting (GSE: p=0.044<0.05, medalists scored significantly higher (M±SD=33.55±4.11 than non-medalists. Other attributes did not show any significant difference between medalist and non-medalist players. When compared with gender, no significant difference was observed on mental toughness attributes except attention control (ATNCON: p=0.044<0.05, female players scored (M±SD=38.97±3.08 higher than male players. The findings confirm that mental toughness is a desired attribute which differentiates a medalist and non-medalist player. Connaughton et al., (2007 stated that elite competitive athletes possess better mental toughness. Medalist players displayed better self-confidence than the non-medalists as supported by Kuan and Roy (2007, Loehr (1986. Motivation helps players to achieve their best and enhance mental toughness (Connaughton et al., 2008; Mohammad et al., 2009. Goal setting determines successful performance Weinberg and Weigand (1993, Weinberg (2003. It was concluded that medalist badminton players showed better mental toughness

Myofibroblasts in interstitial lung diseases show diverse electron microscopic and invasive features.

Science.gov (United States)

Karvonen, Henna M; Lehtonen, Siri T; Sormunen, Raija T; Harju, Terttu H; Lappi-Blanco, Elisa; Bloigu, Risto S; Kaarteenaho, Riitta L

2012-09-01

The characteristic features of myofibroblasts in various lung disorders are poorly understood. We have evaluated the ultrastructure and invasive capacities of myofibroblasts cultured from small volumes of diagnostic bronchoalveolar lavage (BAL) fluid samples from patients with different types of lung diseases. Cells were cultured from samples of BAL fluid collected from 51 patients that had undergone bronchoscopy and BAL for diagnostic purposes. The cells were visualized by transmission electron microscopy and immunoelectron microscopy to achieve ultrastructural localization of alpha-smooth muscle actin (α-SMA) and fibronectin. The levels of α-SMA protein and mRNA and fibronectin mRNA were measured by western blot and quantitative real-time reverse transcriptase polymerase chain reaction. The invasive capacities of the cells were evaluated. The cultured cells were either fibroblasts or myofibroblasts. The structure of the fibronexus, and the amounts of intracellular actin, extracellular fibronectin and cell junctions of myofibroblasts varied in different diseases. In electron and immunoelectron microscopy, cells cultured from interstitial lung diseases (ILDs) expressed more actin filaments and α-SMA than normal lung. The invasive capacity of the cells obtained from patients with idiopathic pulmonary fibrosis was higher than that from patients with other type of ILDs. Cells expressing more actin filaments had a higher invasion capacity. It is concluded that electron and immunoelectron microscopic studies of myofibroblasts can reveal differential features in various diseases. An analysis of myofibroblasts cultured from diagnostic BAL fluid samples may represent a new kind of tool for diagnostics and research into lung diseases.

The interactive attribution of school success in multi-ethnic schools

NARCIS (Netherlands)

de Haan, M.; Wissink, I.

2013-01-01

The study shows how explanations for school success are expressed and dialogically constructed during teacher-parent conferences at school. Attribution theory is used to conceptualize the various explanations for school success that were expressed. However, instead of only looking at attributions as

Selection of morphological features of pollen grains for chosen tree taxa

Directory of Open Access Journals (Sweden)

Agnieszka Kubik-Komar

2018-05-01

Full Text Available The basis of aerobiological studies is to monitor airborne pollen concentrations and pollen season timing. This task is performed by appropriately trained staff and is difficult and time consuming. The goal of this research is to select morphological characteristics of grains that are the most discriminative for distinguishing between birch, hazel and alder taxa and are easy to determine automatically from microscope images. This selection is based on the split attributes of the J4.8 classification trees built for different subsets of features. Determining the discriminative features by this method, we provide specific rules for distinguishing between individual taxa, at the same time obtaining a high percentage of correct classification. The most discriminative among the 13 morphological characteristics studied are the following: number of pores, maximum axis, minimum axis, axes difference, maximum oncus width, and number of lateral pores. The classification result of the tree based on this subset is better than the one built on the whole feature set and it is almost 94%. Therefore, selection of attributes before tree building is recommended. The classification results for the features easiest to obtain from the image, i.e. maximum axis, minimum axis, axes difference, and number of lateral pores, are only 2.09 pp lower than those obtained for the complete set, but 3.23 pp lower than the results obtained for the selected most discriminating attributes only.

Ontology patterns for complex topographic feature yypes

Science.gov (United States)

Varanka, Dalia E.

2011-01-01

Complex feature types are defined as integrated relations between basic features for a shared meaning or concept. The shared semantic concept is difficult to define in commonly used geographic information systems (GIS) and remote sensing technologies. The role of spatial relations between complex feature parts was recognized in early GIS literature, but had limited representation in the feature or coverage data models of GIS. Spatial relations are more explicitly specified in semantic technology. In this paper, semantics for topographic feature ontology design patterns (ODP) are developed as data models for the representation of complex features. In the context of topographic processes, component assemblages are supported by resource systems and are found on local landscapes. The topographic ontology is organized across six thematic modules that can account for basic feature types, resource systems, and landscape types. Types of complex feature attributes include location, generative processes and physical description. Node/edge networks model standard spatial relations and relations specific to topographic science to represent complex features. To demonstrate these concepts, data from The National Map of the U. S. Geological Survey was converted and assembled into ODP.

Mobile personal health records: an evaluation of features and functionality.

Science.gov (United States)

Kharrazi, Hadi; Chisholm, Robin; VanNasdale, Dean; Thompson, Benjamin

2012-09-01

To evaluate stand-alone mobile personal health record (mPHR) applications for the three leading cellular phone platforms (iOS, BlackBerry, and Android), assessing each for content, function, security, and marketing characteristics. Nineteen stand-alone mPHR applications (8 for iOS, 5 for BlackBerry, and 6 for Android) were identified and evaluated. Main criteria used to include mPHRs were: operating standalone on a mobile platform; not requiring external connectivity; and covering a wide range of health topics. Selected mPHRs were analyzed considering product characteristics, data elements, and application features. We also reviewed additional features such as marketing tactics. Within and between the different mobile platforms attributes for the mPHR were highly variable. None of the mPHRs contained all attributes included in our evaluation. The top four mPHRs contained 13 of the 14 features omitting only the in-case-of emergency feature. Surprisingly, seven mPHRs lacked basic security measures as important as password protection. The mPHRs were relatively inexpensive: ranging from no cost to $9.99. The mPHR application cost varied in some instances based on whether it supported single or multiple users. Ten mPHRs supported multiple user profiles. Notably, eight mPHRs used scare tactics as marketing strategy. mPHR is an emerging health care technology. The majority of existing mPHR apps is limited by at least one of the attributes considered for this study; however, as the mobile market continues to expand it is likely that more comprehensive mPHRs will be developed in the near future. New advancements in mobile technology can be utilized to enhance mPHRs by long-term patient empowerment features. Marketing strategies for mPHRs should target specific subpopulations and avoid scare tactics. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

GAIN RATIO BASED FEATURE SELECTION METHOD FOR PRIVACY PRESERVATION

Directory of Open Access Journals (Sweden)

R. Praveena Priyadarsini

2011-04-01

Full Text Available Privacy-preservation is a step in data mining that tries to safeguard sensitive information from unsanctioned disclosure and hence protecting individual data records and their privacy. There are various privacy preservation techniques like k-anonymity, l-diversity and t-closeness and data perturbation. In this paper k-anonymity privacy protection technique is applied to high dimensional datasets like adult and census. since, both the data sets are high dimensional, feature subset selection method like Gain Ratio is applied and the attributes of the datasets are ranked and low ranking attributes are filtered to form new reduced data subsets. K-anonymization privacy preservation technique is then applied on reduced datasets. The accuracy of the privacy preserved reduced datasets and the original datasets are compared for their accuracy on the two functionalities of data mining namely classification and clustering using naïve Bayesian and k-means algorithm respectively. Experimental results show that classification and clustering accuracy are comparatively the same for reduced k-anonym zed datasets and the original data sets.

Joint Attributes and Event Analysis for Multimedia Event Detection.

Science.gov (United States)

Ma, Zhigang; Chang, Xiaojun; Xu, Zhongwen; Sebe, Nicu; Hauptmann, Alexander G

2017-06-15

Semantic attributes have been increasingly used the past few years for multimedia event detection (MED) with promising results. The motivation is that multimedia events generally consist of lower level components such as objects, scenes, and actions. By characterizing multimedia event videos with semantic attributes, one could exploit more informative cues for improved detection results. Much existing work obtains semantic attributes from images, which may be suboptimal for video analysis since these image-inferred attributes do not carry dynamic information that is essential for videos. To address this issue, we propose to learn semantic attributes from external videos using their semantic labels. We name them video attributes in this paper. In contrast with multimedia event videos, these external videos depict lower level contents such as objects, scenes, and actions. To harness video attributes, we propose an algorithm established on a correlation vector that correlates them to a target event. Consequently, we could incorporate video attributes latently as extra information into the event detector learnt from multimedia event videos in a joint framework. To validate our method, we perform experiments on the real-world large-scale TRECVID MED 2013 and 2014 data sets and compare our method with several state-of-the-art algorithms. The experiments show that our method is advantageous for MED.

Network structure exploration in networks with node attributes

Science.gov (United States)

Chen, Yi; Wang, Xiaolong; Bu, Junzhao; Tang, Buzhou; Xiang, Xin

2016-05-01

Complex networks provide a powerful way to represent complex systems and have been widely studied during the past several years. One of the most important tasks of network analysis is to detect structures (also called structural regularities) embedded in networks by determining group number and group partition. Most of network structure exploration models only consider network links. However, in real world networks, nodes may have attributes that are useful for network structure exploration. In this paper, we propose a novel Bayesian nonparametric (BNP) model to explore structural regularities in networks with node attributes, called Bayesian nonparametric attribute (BNPA) model. This model does not only take full advantage of both links between nodes and node attributes for group partition via shared hidden variables, but also determine group number automatically via the Bayesian nonparametric theory. Experiments conducted on a number of real and synthetic networks show that our BNPA model is able to automatically explore structural regularities in networks with node attributes and is competitive with other state-of-the-art models.

Differential emotion attribution to neutral faces of own and other races.

Science.gov (United States)

Hu, Chao S; Wang, Qiandong; Han, Tong; Weare, Ethan; Fu, Genyue

2017-02-01

Past research has demonstrated differential recognition of emotion on faces of different races. This paper reports the first study to explore differential emotion attribution to neutral faces of different races. Chinese and Caucasian adults viewed a series of Chinese and Caucasian neutral faces and judged their outward facial expression: neutral, positive, or negative. The results showed that both Chinese and Caucasian viewers perceived more Chinese faces than Caucasian faces as neutral. Nevertheless, Chinese viewers attributed positive emotion to Caucasian faces more than to Chinese faces, whereas Caucasian viewers attributed negative emotion to Caucasian faces more than to Chinese faces. Moreover, Chinese viewers attributed negative and neutral emotion to the faces of both races without significant difference in frequency, whereas Caucasian viewers mostly attributed neutral emotion to the faces. These differences between Chinese and Caucasian viewers may be due to differential visual experience, culture, racial stereotype, or expectation of the experiment. We also used eye tracking among the Chinese participants to explore the relationship between face-processing strategy and emotion attribution to neutral faces. The results showed that the interaction between emotion attribution and face race was significant on face-processing strategy, such as fixation proportion on eyes and saccade amplitude. Additionally, pupil size during processing Caucasian faces was larger than during processing Chinese faces.

A keyword searchable attribute-based encryption scheme with attribute update for cloud storage.

Science.gov (United States)

Wang, Shangping; Ye, Jian; Zhang, Yaling

2018-01-01

Ciphertext-policy attribute-based encryption (CP-ABE) scheme is a new type of data encryption primitive, which is very suitable for data cloud storage for its fine-grained access control. Keyword-based searchable encryption scheme enables users to quickly find interesting data stored in the cloud server without revealing any information of the searched keywords. In this work, we provide a keyword searchable attribute-based encryption scheme with attribute update for cloud storage, which is a combination of attribute-based encryption scheme and keyword searchable encryption scheme. The new scheme supports the user's attribute update, especially in our new scheme when a user's attribute need to be updated, only the user's secret key related with the attribute need to be updated, while other user's secret key and the ciphertexts related with this attribute need not to be updated with the help of the cloud server. In addition, we outsource the operation with high computation cost to cloud server to reduce the user's computational burden. Moreover, our scheme is proven to be semantic security against chosen ciphertext-policy and chosen plaintext attack in the general bilinear group model. And our scheme is also proven to be semantic security against chosen keyword attack under bilinear Diffie-Hellman (BDH) assumption.

Income inequality and alcohol attributable harm in Australia

Directory of Open Access Journals (Sweden)

Chikritzhs Tanya N

2009-02-01

. Conclusion We found a curvilinear relationship between income inequality and the rates of some types of alcohol-attributable hospitalisation and death at a local area level in Australia. While alcohol-attributable harms generally increased with increasing income inequality, alcohol-attributable hospitalisations actually showed the reverse relationship at low levels of income inequality. The curvilinear patterns we observed are inconsistent with monotonic trends found in previous research making our findings incompatible with previous explanations of the relationship between income inequality and health related harms.

Inferring source attribution from a multiyear multisource data set of Salmonella in Minnesota.

Science.gov (United States)

Ahlstrom, C; Muellner, P; Spencer, S E F; Hong, S; Saupe, A; Rovira, A; Hedberg, C; Perez, A; Muellner, U; Alvarez, J

2017-12-01

Salmonella enterica is a global health concern because of its widespread association with foodborne illness. Bayesian models have been developed to attribute the burden of human salmonellosis to specific sources with the ultimate objective of prioritizing intervention strategies. Important considerations of source attribution models include the evaluation of the quality of input data, assessment of whether attribution results logically reflect the data trends and identification of patterns within the data that might explain the detailed contribution of different sources to the disease burden. Here, more than 12,000 non-typhoidal Salmonella isolates from human, bovine, porcine, chicken and turkey sources that originated in Minnesota were analysed. A modified Bayesian source attribution model (available in a dedicated R package), accounting for non-sampled sources of infection, attributed 4,672 human cases to sources assessed here. Most (60%) cases were attributed to chicken, although there was a spike in cases attributed to a non-sampled source in the second half of the study period. Molecular epidemiological analysis methods were used to supplement risk modelling, and a visual attribution application was developed to facilitate data exploration and comprehension of the large multiyear data set assessed here. A large amount of within-source diversity and low similarity between sources was observed, and visual exploration of data provided clues into variations driving the attribution modelling results. Results from this pillared approach provided first attribution estimates for Salmonella in Minnesota and offer an understanding of current data gaps as well as key pathogen population features, such as serotype frequency, similarity and diversity across the sources. Results here will be used to inform policy and management strategies ultimately intended to prevent and control Salmonella infection in the state. © 2017 Blackwell Verlag GmbH.

Feature Space Dimensionality Reduction for Real-Time Vision-Based Food Inspection

Directory of Open Access Journals (Sweden)

Mai Moussa CHETIMA

2009-03-01

Full Text Available Machine vision solutions are becoming a standard for quality inspection in several manufacturing industries. In the processed-food industry where the appearance attributes of the product are essential to customer’s satisfaction, visual inspection can be reliably achieved with machine vision. But such systems often involve the extraction of a larger number of features than those actually needed to ensure proper quality control, making the process less efficient and difficult to tune. This work experiments with several feature selection techniques in order to reduce the number of attributes analyzed by a real-time vision-based food inspection system. Identifying and removing as much irrelevant and redundant information as possible reduces the dimensionality of the data and allows classification algorithms to operate faster. In some cases, accuracy on classification can even be improved. Filter-based and wrapper-based feature selectors are experimentally evaluated on different bakery products to identify the best performing approaches.

Strictness Analysis for Attribute Grammars

DEFF Research Database (Denmark)

Rosendahl, Mads

1992-01-01

interpretation of attribute grammars. The framework is used to construct a strictness analysis for attribute grammars. Results of the analysis enable us to transform an attribute grammar such that attributes are evaluated during parsing, if possible. The analysis is proved correct by relating it to a fixpoint...... semantics for attribute grammars. An implementation of the analysis is discussed and some extensions to the analysis are mentioned....

The Interactive Attribution of School Success in Multi-Ethnic Schools

Science.gov (United States)

de Haan, Mariette; Wissink, Inge

2013-01-01

The study shows how explanations for school success are expressed and dialogically constructed during teacher-parent conferences at school. Attribution theory is used to conceptualize the various explanations for school success that were expressed. However, instead of only looking at attributions as beliefs which individuals or groups "have", the…

On the Relationship between Visual Attributes and Convolutional Networks

KAUST Repository

Castillo, Victor

2015-06-02

One of the cornerstone principles of deep models is their abstraction capacity, i.e. their ability to learn abstract concepts from ‘simpler’ ones. Through extensive experiments, we characterize the nature of the relationship between abstract concepts (specifically objects in images) learned by popular and high performing convolutional networks (conv-nets) and established mid-level representations used in computer vision (specifically semantic visual attributes). We focus on attributes due to their impact on several applications, such as object description, retrieval and mining, and active (and zero-shot) learning. Among the findings we uncover, we show empirical evidence of the existence of Attribute Centric Nodes (ACNs) within a conv-net, which is trained to recognize objects (not attributes) in images. These special conv-net nodes (1) collectively encode information pertinent to visual attribute representation and discrimination, (2) are unevenly and sparsely distribution across all layers of the conv-net, and (3) play an important role in conv-net based object recognition.

On the Relationship between Visual Attributes and Convolutional Networks

KAUST Repository

Castillo, Victor; Ghanem, Bernard; Niebles, Juan Carlos

2015-01-01

One of the cornerstone principles of deep models is their abstraction capacity, i.e. their ability to learn abstract concepts from ‘simpler’ ones. Through extensive experiments, we characterize the nature of the relationship between abstract concepts (specifically objects in images) learned by popular and high performing convolutional networks (conv-nets) and established mid-level representations used in computer vision (specifically semantic visual attributes). We focus on attributes due to their impact on several applications, such as object description, retrieval and mining, and active (and zero-shot) learning. Among the findings we uncover, we show empirical evidence of the existence of Attribute Centric Nodes (ACNs) within a conv-net, which is trained to recognize objects (not attributes) in images. These special conv-net nodes (1) collectively encode information pertinent to visual attribute representation and discrimination, (2) are unevenly and sparsely distribution across all layers of the conv-net, and (3) play an important role in conv-net based object recognition.

The attribute measurement technique

International Nuclear Information System (INIS)

MacArthur, Duncan W.; Langner, Diana; Smith, Morag; Thron, Jonathan; Razinkov, Sergey; Livke, Alexander

2010-01-01

Any verification measurement performed on potentially classified nuclear material must satisfy two seemingly contradictory constraints. First and foremost, no classified information can be released. At the same time, the monitoring party must have confidence in the veracity of the measurement. An information barrier (IB) is included in the measurement system to protect the potentially classified information while allowing sufficient information transfer to occur for the monitoring party to gain confidence that the material being measured is consistent with the host's declarations, concerning that material. The attribute measurement technique incorporates an IB and addresses both concerns by measuring several attributes of the nuclear material and displaying unclassified results through green (indicating that the material does possess the specified attribute) and red (indicating that the material does not possess the specified attribute) lights. The attribute measurement technique has been implemented in the AVNG, an attribute measuring system described in other presentations at this conference. In this presentation, we will discuss four techniques used in the AVNG: (1) the 1B, (2) the attribute measurement technique, (3) the use of open and secure modes to increase confidence in the displayed results, and (4) the joint design as a method for addressing both host and monitor needs.

Exploring Attribution Theory and Bias

Science.gov (United States)

Robinson, Jessica A.

2017-01-01

Courses: This activity can be used in a wide range of classes, including interpersonal communication, introduction to communication, and small group communication. Objectives: After completing this activity, students should be able to: (1) define attribution theory, personality attribution, situational attribution, and attribution bias; (2)…

Attributions of responsibility and affective reactions to decision outcomes.

Science.gov (United States)

Zeelenberg, M; van der Pligt, J; de Vries, N K

2000-06-01

Immediate affective reactions to outcomes are more intense following decisions to act than following decisions not to act. This finding holds for both positive and negative outcomes. We relate this "actor-effect" to attribution theory and argue that decision makers are seen as more responsible for outcomes when these are the result of a decision to act as compared to a decision not to act. Experiment 1 (N = 80) tests the main assumption underlying our reasoning and shows that affective reactions to decision outcomes are indeed more intense when the decision maker is seen as more responsible. Experiment 2 (N = 40) tests whether the actor effect can be predicted on the basis of differential attributions following action and inaction. Participants read vignettes in which active and passive actors obtained a positive or negative outcome. Action resulted in more intense affect than inaction, and positive outcomes resulted in more intense affect than negative outcomes. Experiment 2 further shows that responsibility attributions and affective reactions to outcomes are highly correlated; that is, more extreme affective reactions are associated with more internal attributions. We discuss the implications for research on post-decisional reactions.

Attributing illness to food

DEFF Research Database (Denmark)

Batz, M. B.; Doyle, M. P.; Morris, J. G.

2005-01-01

source responsible for illness. A wide variety of food attribution approaches and data are used around the world including the analysis of outbreak data, case-control studies, microbial subtyping and source tracking methods, and expert judgment, among others. The Food Safety Research Consortium sponsored......Identification and prioritization of effective food safety interventions require an understanding of the relationship between food and pathogen from farm to consumption. Critical to this cause is food attribution, the capacity to attribute cases of foodborne disease to the food vehicle or other...... the Food Attribution Data Workshop in October 2003 to discuss the virtues and limitations of these approaches and to identify future options for collecting food attribution data in the United States. We summarize workshop discussions and identify challenges that affect progress in this critical component...

Attribute-based classification for zero-shot visual object categorization.

Science.gov (United States)

Lampert, Christoph H; Nickisch, Hannes; Harmeling, Stefan

2014-03-01

We study the problem of object recognition for categories for which we have no training examples, a task also called zero--data or zero-shot learning. This situation has hardly been studied in computer vision research, even though it occurs frequently; the world contains tens of thousands of different object classes, and image collections have been formed and suitably annotated for only a few of them. To tackle the problem, we introduce attribute-based classification: Objects are identified based on a high-level description that is phrased in terms of semantic attributes, such as the object's color or shape. Because the identification of each such property transcends the specific learning task at hand, the attribute classifiers can be prelearned independently, for example, from existing image data sets unrelated to the current task. Afterward, new classes can be detected based on their attribute representation, without the need for a new training phase. In this paper, we also introduce a new data set, Animals with Attributes, of over 30,000 images of 50 animal classes, annotated with 85 semantic attributes. Extensive experiments on this and two more data sets show that attribute-based classification indeed is able to categorize images without access to any training images of the target classes.

Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Expenditures (SAE)

Data.gov (United States)

U.S. Department of Health & Human Services — 2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable expenditures (SAEs) are excess health care expenditures...

Different developmental trajectories across feature types support a dynamic field model of visual working memory development.

Science.gov (United States)

Simmering, Vanessa R; Miller, Hilary E; Bohache, Kevin

2015-05-01

Research on visual working memory has focused on characterizing the nature of capacity limits as "slots" or "resources" based almost exclusively on adults' performance with little consideration for developmental change. Here we argue that understanding how visual working memory develops can shed new light onto the nature of representations. We present an alternative model, the Dynamic Field Theory (DFT), which can capture effects that have been previously attributed either to "slot" or "resource" explanations. The DFT includes a specific developmental mechanism to account for improvements in both resolution and capacity of visual working memory throughout childhood. Here we show how development in the DFT can account for different capacity estimates across feature types (i.e., color and shape). The current paper tests this account by comparing children's (3, 5, and 7 years of age) performance across different feature types. Results showed that capacity for colors increased faster over development than capacity for shapes. A second experiment confirmed this difference across feature types within subjects, but also showed that the difference can be attenuated by testing memory for less familiar colors. Model simulations demonstrate how developmental changes in connectivity within the model-purportedly arising through experience-can capture differences across feature types.

Supplier Selection by Coupling-Attribute Combinatorial Analysis

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Xinyu Sun

2017-01-01

Full Text Available Increasing reliance on outsourcing has made supplier selection a critical success factor for a supply chain/network. In addition to cost, the synergy among product components and supplier selection criteria should be considered holistically during the supplier selection process. This paper shows this synergy using coupled-attribute analysis. The key coupling attributes, including total cost, quality, delivery reliability, and delivery lead time of the final product, are identified and formulated. A max-max model is designed to assist the selection of the optional combination of suppliers. The results are compared with the individual supplier selection. Management insights are also discussed.

The imaging features of neurologic complications of left atrial myxomas

Energy Technology Data Exchange (ETDEWEB)

Liao, Wei-Hua; Ramkalawan, Divya; Liu, Jian-Ling; Shi, Wei [Department of Radiology, Xiangya Hospital, Central South University, Changsha 410008, Hunan (China); Zee, Chi-Shing [Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033 (United States); Yang, Xiao-Su; Li, Guo-Liang; Li, Jing [Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, Hunan (China); Wang, Xiao-Yi, E-mail: cjr.wangxiaoyi@vip.163.com [Department of Radiology, Xiangya Hospital, Central South University, Changsha 410008, Hunan (China)

2015-05-15

Background: Neurologic complications may be the first symptoms of atrial myxomas. Understanding the imaging features of neurologic complications of atrial myxomas can be helpful for the prompt diagnosis. Objective: To identify neuroimaging features for patients with neurologic complications attributed to atrial myxoma. Methods: We retrospectively reviewed the medical records of 103 patients with pathologically confirmed atrial myxoma at Xiangya Hospital from January 2009 to January 2014. The neuroimaging data for patients with neurologic complications were analyzed. Results: Eight patients with atrial myxomas (7.77%) presented with neurologic manifestations, which constituted the initial symptoms for seven patients (87.5%). Neuroimaging showed five cases of cerebral infarctions and three cases of aneurysms. The main patterns of the infarctions were multiplicity (100.0%) and involvement of the middle cerebral artery territory (80.0%). The aneurysms were fusiform in shape, multiple in number (100.0%) and located in the distal middle cerebral artery (100.0%). More specifically, high-density in the vicinity of the aneurysms was observed on CT for two patients (66.7%), and homogenous enhancement surrounding the aneurysms was detected in the enhanced imaging for two patients (66.7%). Conclusion: Neurologic complications secondary to atrial myxoma consist of cerebral infarctions and aneurysms, which show certain characteristic features in neuroimaging. Echocardiography should be performed in patients with multiple cerebral infarctions, and multiple aneurysms, especially when aneurysms are distal in location. More importantly, greater attention should be paid to the imaging changes surrounding the aneurysms when myxomatous aneurysms are suspected and these are going to be the relevant features in our article.

The imaging features of neurologic complications of left atrial myxomas

International Nuclear Information System (INIS)

Liao, Wei-Hua; Ramkalawan, Divya; Liu, Jian-Ling; Shi, Wei; Zee, Chi-Shing; Yang, Xiao-Su; Li, Guo-Liang; Li, Jing; Wang, Xiao-Yi

2015-01-01

Background: Neurologic complications may be the first symptoms of atrial myxomas. Understanding the imaging features of neurologic complications of atrial myxomas can be helpful for the prompt diagnosis. Objective: To identify neuroimaging features for patients with neurologic complications attributed to atrial myxoma. Methods: We retrospectively reviewed the medical records of 103 patients with pathologically confirmed atrial myxoma at Xiangya Hospital from January 2009 to January 2014. The neuroimaging data for patients with neurologic complications were analyzed. Results: Eight patients with atrial myxomas (7.77%) presented with neurologic manifestations, which constituted the initial symptoms for seven patients (87.5%). Neuroimaging showed five cases of cerebral infarctions and three cases of aneurysms. The main patterns of the infarctions were multiplicity (100.0%) and involvement of the middle cerebral artery territory (80.0%). The aneurysms were fusiform in shape, multiple in number (100.0%) and located in the distal middle cerebral artery (100.0%). More specifically, high-density in the vicinity of the aneurysms was observed on CT for two patients (66.7%), and homogenous enhancement surrounding the aneurysms was detected in the enhanced imaging for two patients (66.7%). Conclusion: Neurologic complications secondary to atrial myxoma consist of cerebral infarctions and aneurysms, which show certain characteristic features in neuroimaging. Echocardiography should be performed in patients with multiple cerebral infarctions, and multiple aneurysms, especially when aneurysms are distal in location. More importantly, greater attention should be paid to the imaging changes surrounding the aneurysms when myxomatous aneurysms are suspected and these are going to be the relevant features in our article

A prototype feature system for feature retrieval using relationships

Science.gov (United States)

Choi, J.; Usery, E.L.

2009-01-01

Using a feature data model, geographic phenomena can be represented effectively by integrating space, theme, and time. This paper extends and implements a feature data model that supports query and visualization of geographic features using their non-spatial and temporal relationships. A prototype feature-oriented geographic information system (FOGIS) is then developed and storage of features named Feature Database is designed. Buildings from the U.S. Marine Corps Base, Camp Lejeune, North Carolina and subways in Chicago, Illinois are used to test the developed system. The results of the applications show the strength of the feature data model and the developed system 'FOGIS' when they utilize non-spatial and temporal relationships in order to retrieve and visualize individual features.

Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Mortality (SAM)

Data.gov (United States)

U.S. Department of Health & Human Services — 2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable mortality (SAM) is the number of deaths caused by cigarette...

INTEGRATING VISUALIZATION AND MULTI-ATTRIBUTE UTILITY THEORY FOR ONLINE PRODUCT SELECTION

OpenAIRE

CHUREE THEETRANONT; PETER HADDAWY; DONYAPRUETH KRAIRIT

2007-01-01

Effectively selling products online is a challenging task. Today's product domains often contain a dizzying variety of brands and models with highly complex sets of characteristics. This paper addresses the problem of supporting product search and selection in domains containing large numbers of alternatives with complex sets of features. A number of online shopping websites provide product choice assistance by making direct use of Multi-Attribute Utility Theory (MAUT). While the MAUT approac...

An Attribute Involved Public Key Cryptosystem Based on P-Sylow Subgroups and Randomization

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Sumalatha GUNNALA

2018-04-01

Full Text Available The Asymmetric Key Cryptosystem (AKC or Public Key Encryption (PKE is a mechanism used to encrypt the messages by using public key and decrypt the enciphered messages by using private key. Of late, the Attribute-Based Encryption (ABE is an expansion of asymmetric key encryption scheme that allows users to encrypt and decrypt the plaintext messages using the key based on the user’s credentials, called attributes, like social security number, PAN (Permanent Account Number, email ids or Aadhar number etc. Most of the existing ABE schemes rely on the multiple attributes from which the access control policies are derived. These policies define the users’ private keys, required for the decryption process and access to the confidential information. In this paper, we proposed a new attribute based asymmetric cryptosystem that uses the features of both the schemes: PKE and ABE. Here, we used a value of an attribute, personal to the user, for the encryption and the decryption process. This scheme assures that the receiver will only be able to access the secret data if recipient is shared with the valid attribute value. The asymmetric nature is this scheme is based on the concept of p-sylow sub-group assumption. In addition, the randomization factor is used in the encipherment process to strengthen the cipher further. The development of this cryptosystem is an embodiment where the merits of randomized asymmetric encryption technique and the attribute based encryption are integrated to achieve the authentication on top of confidentiality to secure the information transmission over the public networks.

Detecting and Attributing Health Burdens to Climate Change.

Science.gov (United States)

Ebi, Kristie L; Ogden, Nicholas H; Semenza, Jan C; Woodward, Alistair

2017-08-07

Detection and attribution of health impacts caused by climate change uses formal methods to determine a ) whether the occurrence of adverse health outcomes has changed, and b ) the extent to which that change could be attributed to climate change. There have been limited efforts to undertake detection and attribution analyses in health. Our goal was to show a range of approaches for conducting detection and attribution analyses. Case studies for heatwaves, Lyme disease in Canada, and Vibrio emergence in northern Europe highlight evidence that climate change is adversely affecting human health. Changes in rates and geographic distribution of adverse health outcomes were detected, and, in each instance, a proportion of the observed changes could, in our judgment, be attributed to changes in weather patterns associated with climate change. The results of detection and attribution studies can inform evidence-based risk management to reduce current, and plan for future, changes in health risks associated with climate change. Gaining a better understanding of the size, timing, and distribution of the climate change burden of disease and injury requires reliable long-term data sets, more knowledge about the factors that confound and modify the effects of climate on health, and refinement of analytic techniques for detection and attribution. At the same time, significant advances are possible in the absence of complete data and statistical certainty: there is a place for well-informed judgments, based on understanding of underlying processes and matching of patterns of health, climate, and other determinants of human well-being. https://doi.org/10.1289/EHP1509.

Cultural differences in athlete attributions for success and failure: the sports pages revisited.

Science.gov (United States)

Aldridge, Lynley J; Islam, Mir Rabiul

2012-01-01

Self-serving biases in attribution, while found with relative consistency in research with Western samples, have rarely been found in Japanese samples typically recruited for research. However, research conducted with Japanese participants to date has tended to use forced-choice and/or reactive paradigms, with school or university students, focusing mainly on academic performance or arbitrary and/or researcher-selected tasks. This archival study explored whether self-serving attributional biases would be shown in the real-life attributions for sporting performance made by elite Olympic athletes from Japan and Australia. Attributions (N = 216) were extracted from the sports pages of Japanese and Australian newspapers and rated by Australian judges for locus and controllability. It was hypothesized that Australian, but not Japanese, athletes would show self-serving biases such that they attributed wins to causes more internal and controllable than the causes to which they attributed losses. Contrary to predictions, self-serving biases were shown to at least some extent by athletes of both nationalities. Both Australian and Japanese men attributed wins to causes more internal than those to which they attributed losses. Women, however, attributed wins and losses to causes that did not differ significantly in terms of locus. All athletes tended to attribute wins to causes that were more controllable than the causes to which losses were attributed. Results are inconsistent with a large body of research suggesting that Japanese do not show self-serving biases in attribution, and are discussed in the light of differences in methodology, context, and participants that may have contributed to these effects.

Global seafloor geomorphic features map: applications for ocean conservation and management

Science.gov (United States)

Harris, P. T.; Macmillan-Lawler, M.; Rupp, J.; Baker, E.

2013-12-01

Seafloor geomorphology, mapped and measured by marine scientists, has proven to be a very useful physical attribute for ocean management because different geomorphic features (eg. submarine canyons, seamounts, spreading ridges, escarpments, plateaus, trenches etc.) are commonly associated with particular suites of habitats and biological communities. Although we now have better bathymetric datasets than ever before, there has been little effort to integrate these data to create an updated map of seabed geomorphic features or habitats. Currently the best available global seafloor geomorphic features map is over 30 years old. A new global seafloor geomorphic features map (GSGM) has been created based on the analysis and interpretation of the SRTM (Shuttle Radar Topography Mission) 30 arc-second (~1 km) global bathymetry grid. The new map includes global spatial data layers for 29 categories of geomorphic features, defined by the International Hydrographic Organisation. The new geomorphic features map will allow: 1) Characterization of bioregions in terms of their geomorphic content (eg. GOODS bioregions, Large Marine Ecosystems (LMEs), ecologically or biologically significant areas (EBSA)); 2) Prediction of the potential spatial distribution of vulnerable marine ecosystems (VME) and marine genetic resources (MGR; eg. associated with hydrothermal vent communities, shelf-incising submarine canyons and seamounts rising to a specified depth); and 3) Characterization of national marine jurisdictions in terms of their inventory of geomorphic features and their global representativeness of features. To demonstrate the utility of the GSGM, we have conducted an analysis of the geomorphic feature content of the current global inventory of marine protected areas (MPAs) to assess the extent to which features are currently represented. The analysis shows that many features have very low representation, for example fans and rises have less than 1 per cent of their total area

The mental representation of living and nonliving things: differential weighting and interactivity of sensorial and non-sensorial features.

Science.gov (United States)

Ventura, Paulo; Morais, José; Brito-Mendes, Carlos; Kolinsky, Régine

2005-02-01

Warrington and colleagues (Warrington & McCarthy, 1983, 1987; Warrington & Shallice, 1984) claimed that sensorial and functional-associative (FA) features are differentially important in determining the meaning of living things (LT) and nonliving things (NLT). The first aim of the present study was to evaluate this hypothesis through two different access tasks: feature generation (Experiment 1) and cued recall (Experiment 2). The results of both experiments provided consistent empirical support for Warrington and colleagues' assumption. The second aim of the present study was to test a new differential interactivity hypothesis that combines Warrington and colleagueS' assumption with the notion of a higher number of intercorrelations and hence of a stronger connectivity between sensorial and non-sensorial features for LTs than for NLTs. This hypothesis was motivated by previoUs reports of an uncrossed interaction between domain (LTs vs NLTs) and attribute type (sensorial vs FA) in, for example, a feature verification task (Laws, Humber, Ramsey, & McCarthy, 1995): while FA attributes are verified faster than sensorial attributes for NLTs, no difference is observed for LTs. We replicated and generalised this finding using several feature verification tasks on both written words and pictures (Experiment 3), including in conditions aimed at minimising the intervention of priming biases and strategic or mnemonic processes (Experiment 4). The whole set of results suggests that both privileged relations between features and categories, and the differential importance of intercorrelations between features as a function of category, modulate access to semantic features.

Attribution style, theory and empirical findings

OpenAIRE

Krohn, Charlotte

2017-01-01

Master i læring i komplekse systemer Attribution theory is a long-standing and widely discussed theory that addresses individuals’ explanation of causes of events. People attribute events of success and failure individually. Previous studies indicate that performance in sporting events may be improved by changing individuals’ attribution style. Article one describes attribution and attribution theory as state of the art. The article addresses the most important findings within attribution ...

Cell nuclei attributed relational graphs for efficient representation and classification of gastric cancer in digital histopathology

Science.gov (United States)

Sharma, Harshita; Zerbe, Norman; Heim, Daniel; Wienert, Stephan; Lohmann, Sebastian; Hellwich, Olaf; Hufnagl, Peter

2016-03-01

This paper describes a novel graph-based method for efficient representation and subsequent classification in histological whole slide images of gastric cancer. Her2/neu immunohistochemically stained and haematoxylin and eosin stained histological sections of gastric carcinoma are digitized. Immunohistochemical staining is used in practice by pathologists to determine extent of malignancy, however, it is laborious to visually discriminate the corresponding malignancy levels in the more commonly used haematoxylin and eosin stain, and this study attempts to solve this problem using a computer-based method. Cell nuclei are first isolated at high magnification using an automatic cell nuclei segmentation strategy, followed by construction of cell nuclei attributed relational graphs of the tissue regions. These graphs represent tissue architecture comprehensively, as they contain information about cell nuclei morphology as vertex attributes, along with knowledge of neighborhood in the form of edge linking and edge attributes. Global graph characteristics are derived and ensemble learning is used to discriminate between three types of malignancy levels, namely, non-tumor, Her2/neu positive tumor and Her2/neu negative tumor. Performance is compared with state of the art methods including four texture feature groups (Haralick, Gabor, Local Binary Patterns and Varma Zisserman features), color and intensity features, and Voronoi diagram and Delaunay triangulation. Texture, color and intensity information is also combined with graph-based knowledge, followed by correlation analysis. Quantitative assessment is performed using two cross validation strategies. On investigating the experimental results, it can be concluded that the proposed method provides a promising way for computer-based analysis of histopathological images of gastric cancer.

The “Depressive” Attributional Style Is Not That Depressive for Buddhists

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Michelle T. Liu

2017-06-01

Full Text Available Numerous studies have shown that depression-prone people are characterized by a chronic style of attributing failures to internal, stable, and global causes, sometimes labeled as the “depressive attributional style.” Much less is known, however, about how social-cultural factors such as religious beliefs might modulate these processes. In the current study, we hypothesized that Buddhism’s view of ultimate internal controllability plays a buffering role against the depressive attributional style and reduces its negative impacts. We administrated measures of attributional styles and psychological adjustments to a sample of Chinese Buddhists as well as a control group recruited in China. Data analyses showed that Buddhists were more likely to attribute bad outcomes to internal, stable, and global causes, but their well-being was less affected by it. Thus, these results indicate that the “depressive” attributional style is not that depressive for Buddhists, after all.

Desire or Disease? Framing Obesity to Influence Attributions of Responsibility and Policy Support.

Science.gov (United States)

McGlynn, Joseph; McGlone, Matthew S

2018-02-01

The way we describe health threats affects perceptions of severity and preferred solutions to reduce risk. Most people agree obesity is a problem, but differ in how they attribute responsibility for development and decline of the disease. We explored effects of message framing on attributions of responsibility and support for public obesity policies using a 3 × 2 factorial design. Participants read one of six versions of a health message describing the negative effects of obesity. Message frames influenced respondent attributions and their support for policies to reduce obesity. Those who read a message that assigned agency to the disease (e.g., Obesity causes health problems) endorsed genetics as the cause to a greater degree than those who read a semantically equivalent message that instead assigned agency to people (e.g., Obese people develop health problems). In contrast, assigning agency to people rather than to the disease prompted higher attributions of individual responsibility and support for public policies. Explicit message frames that directly connected responsibility for obesity to either individual or societal factors had no effect on respondent perceptions. Findings suggest explicit arguments may be less effective in shifting perceptions of health threats than arguments embedded in agentic message frames. The results demonstrate specific message features that influence how people attribute responsibility for the onset and solution of obesity.

Public’s Attribution vs Punitive Behavior in Indonesian Public Relations Practice

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Rachmat Kriyantono

2017-06-01

Full Text Available The research aims to test situational crisis communication and attribution theories in Indonesian context. Crisis threats companies’ reputation and affects the public’s attribution which will lead to the creation of punitive behavior from the public towards the organization. The study used a quantitative approach with experimental method and content analysis in the pre-research. Involving 90 respondents, the research fi nds that mass media infl uences public’s attribution within the experimental group who were given positive and negative news. The research shows that the crisis history and the relational reputation determine the public attribution toward the initial crisis responsibility.

Analyze This! Thematic Analysis: Hostility, Attribution of Intent, and Interpersonal Perception Bias.

Science.gov (United States)

Karadenizova, Zhana; Dahle, Klaus-Peter

2017-11-01

Research suggests that aggressive individuals exhibit a strong tendency to attribute hostile intent to the behavior of others when confronted with an ambiguous social situation. The vignettes method has become a standard procedure to assess hostile attributions. Vignettes represent incomplete ambiguous social stories, in which the subjects experience a negative outcome and are asked to attribute intent to the provocateur's action. This article explores the ways in which subjects perceive ambiguous social situations and other people's intentions, their tendency to refer negative outcome to oneself, and the components defining hostility in the interpersonal relationships. The sample consisted of male adolescent violent offenders ( N = 45) recruited from the Social Therapy Department of the German correctional facility for juvenile offenders in Berlin. All offenders were incarcerated for a violent or sexual crime and were currently undergoing individual and group psychotherapy. The five hypothetical vignettes used in this study were originally designed to assess hostile attributions in both institutional and noninstitutional social situations. Participants' responses were analyzed using thematic analysis. Thematic analysis revealed three key themes regarding the social perception-positive, negative, and neutral-and two themes regarding the components of hostility-provocateur-related personality features and relationship type. Although the vignettes were originally developed to detect hostility-prone perception bias, they seem to be able to reveal a wider set of different attributions of intent, both positive and negative. Thus, vignettes are not limited to assessment of hostility specifically. They much rather seem to be a measure which is sensitive to diverse attributions of intent in general. The diagnostic qualities of the vignettes, their area of application, limitations of the study, and future perspective are discussed.

Delivering Key Graduate Attributes via Teams Working in Virtual Space

Directory of Open Access Journals (Sweden)

Lyn Brodie

2011-09-01

Full Text Available Transferable skills are gaining an increasing emphasis in engineering education. The skills of teamwork, communication, self directed learning and problem solving feature in most of the accrediting agencies criteria. This paper is a case study of a course which uses Problem Based Learning method to deliver key transferable skills to engineering students studying via distance education The students use a range of communication systems including a Learning Management System which offers synchronous and asynchronous communications to work in a team where there is no face to face contact between either the team members or with the supervising academic. The teams solve open ended, contextualised engineering problems. These teams form a learning community which scaffolds individual and team learning goals. Results from a longitudinal study show that students significantly increase their teamwork, communication, problem solving and self directed learning skills. These are key graduate attributes now required by professional accreditation bodies. In addition specific theoretical and technical skills and knowledge are learnt and applied to new problems.

GPA and Attribute Framing Effects: Are Better Students More Sensitive or More Susceptible?

Science.gov (United States)

Dunegan, Ken

2010-01-01

Data from 2 studies show students differ in terms of how attribute framing alters perceptions and reactions in a decision-making episode. Using student GPA as a moderator, results from a role-play-decision-making exercise (Experiment 1) show perceptions and intended actions of higher GPA students were more strongly affected by attribute framing…

Short text sentiment classification based on feature extension and ensemble classifier

Science.gov (United States)

Liu, Yang; Zhu, Xie

2018-05-01

With the rapid development of Internet social media, excavating the emotional tendencies of the short text information from the Internet, the acquisition of useful information has attracted the attention of researchers. At present, the commonly used can be attributed to the rule-based classification and statistical machine learning classification methods. Although micro-blog sentiment analysis has made good progress, there still exist some shortcomings such as not highly accurate enough and strong dependence from sentiment classification effect. Aiming at the characteristics of Chinese short texts, such as less information, sparse features, and diverse expressions, this paper considers expanding the original text by mining related semantic information from the reviews, forwarding and other related information. First, this paper uses Word2vec to compute word similarity to extend the feature words. And then uses an ensemble classifier composed of SVM, KNN and HMM to analyze the emotion of the short text of micro-blog. The experimental results show that the proposed method can make good use of the comment forwarding information to extend the original features. Compared with the traditional method, the accuracy, recall and F1 value obtained by this method have been improved.

EPA Region 1 - Map Layers for Valley ID Tool (Hosted Feature Service)

Data.gov (United States)

U.S. Environmental Protection Agency — The Valley Service Feature Layer hosts spatial data for EPA Region 1's Valley Identification Tool. These layers contain attribute information added by EPA R1 GIS...

Photomicrographic images of some features of Uncinaria spp (Nematoda: Ancylostomatidae) from otariid pinnipeds.

Science.gov (United States)

Lyons, E T; DeLong, R L

2005-03-01

Photomicrographs of several morphologic features of hookworms (Uncinaria spp) from northern fur seal (Callorhinus ursinus) and California sea lion (Zalophus californianus) pups are presented. The main purpose is to show and describe some physical characteristics of hookworms from the two hosts; it is not to decide from these attributes whether the Uncinaria spp are the same species. The number of species of Uncinaria in pinnipeds is uncertain and specimens need to be examined from the various infected seals and sea lions before the taxonomy of these parasites can be clarified. Information in the present paper should aid in this determination.

Software Attribution for Geoscience Applications in the Computational Infrastructure for Geodynamics

Science.gov (United States)

Hwang, L.; Dumit, J.; Fish, A.; Soito, L.; Kellogg, L. H.; Smith, M.

2015-12-01

Scientific software is largely developed by individual scientists and represents a significant intellectual contribution to the field. As the scientific culture and funding agencies move towards an expectation that software be open-source, there is a corresponding need for mechanisms to cite software, both to provide credit and recognition to developers, and to aid in discoverability of software and scientific reproducibility. We assess the geodynamic modeling community's current citation practices by examining more than 300 predominantly self-reported publications utilizing scientific software in the past 5 years that is available through the Computational Infrastructure for Geodynamics (CIG). Preliminary results indicate that authors cite and attribute software either through citing (in rank order) peer-reviewed scientific publications, a user's manual, and/or a paper describing the software code. Attributions maybe found directly in the text, in acknowledgements, in figure captions, or in footnotes. What is considered citable varies widely. Citations predominantly lack software version numbers or persistent identifiers to find the software package. Versioning may be implied through reference to a versioned user manual. Authors sometimes report code features used and whether they have modified the code. As an open-source community, CIG requests that researchers contribute their modifications to the repository. However, such modifications may not be contributed back to a repository code branch, decreasing the chances of discoverability and reproducibility. Survey results through CIG's Software Attribution for Geoscience Applications (SAGA) project suggest that lack of knowledge, tools, and workflows to cite codes are barriers to effectively implement the emerging citation norms. Generated on-demand attributions on software landing pages and a prototype extensible plug-in to automatically generate attributions in codes are the first steps towards reproducibility.

Hierarchical Fuzzy Feature Similarity Combination for Presentation Slide Retrieval

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A. Kushki

2009-02-01

Full Text Available This paper proposes a novel XML-based system for retrieval of presentation slides to address the growing data mining needs in presentation archives for educational and scholarly settings. In particular, contextual information, such as structural and formatting features, is extracted from the open format XML representation of presentation slides. In response to a textual user query, each extracted feature is used to compute a fuzzy relevance score for each slide in the database. The fuzzy scores from the various features are then combined through a hierarchical scheme to generate a single relevance score per slide. Various fusion operators and their properties are examined with respect to their effect on retrieval performance. Experimental results indicate a significant increase in retrieval performance measured in terms of precision-recall. The improvements are attributed to both the incorporation of the contextual features and the hierarchical feature combination scheme.

Batch Attribute-Based Encryption for Secure Clouds

Directory of Open Access Journals (Sweden)

Chen Yang

2015-10-01

Full Text Available Cloud storage is widely used by organizations due to its advantage of allowing universal access with low cost. Attribute-based encryption (ABE is a kind of public key encryption suitable for cloud storage. The secret key of each user and the ciphertext are associated with an access policy and an attribute set, respectively; in addition to holding a secret key, one can decrypt a ciphertext only if the associated attributes match the predetermined access policy, which allows one to enforce fine-grained access control on outsourced files. One issue in existing ABE schemes is that they are designed for the users of a single organization. When one wants to share the data with the users of different organizations, the owner needs to encrypt the messages to the receivers of one organization and then repeats this process for another organization. This situation is deteriorated with more and more mobile devices using cloud services, as the ABE encryption process is time consuming and may exhaust the power supplies of the mobile devices quickly. In this paper, we propose a batch attribute-based encryption (BABE approach to address this problem in a provably-secure way. With our approach, the data owner can outsource data in batches to the users of different organizations simultaneously. The data owner is allowed to decide the receiving organizations and the attributes required for decryption. Theoretical and experimental analyses show that our approach is more efficient than traditional encryption implementations in computation and communication.

Cluster Based Vector Attribute Filtering

NARCIS (Netherlands)

Kiwanuka, Fred N.; Wilkinson, Michael H.F.

2016-01-01

Morphological attribute filters operate on images based on properties or attributes of connected components. Until recently, attribute filtering was based on a single global threshold on a scalar property to remove or retain objects. A single threshold struggles in case no single property or

The impact of front-of-pack marketing attributes versus nutrition and health information on parents' food choices.

Science.gov (United States)

Georgina Russell, Catherine; Burke, Paul F; Waller, David S; Wei, Edward

2017-09-01

Front-of-pack attributes have the potential to affect parents' food choices on behalf of their children and form one avenue through which strategies to address the obesogenic environment can be developed. Previous work has focused on the isolated effects of nutrition and health information (e.g. labeling systems, health claims), and how parents trade off this information against co-occurring marketing features (e.g. product imagery, cartoons) is unclear. A Discrete Choice Experiment was utilized to understand how front-of-pack nutrition, health and marketing attributes, as well as pricing, influenced parents' choices of cereal for their child. Packages varied with respect to the two elements of the Australian Health Star Rating system (stars and nutrient facts panel), along with written claims, product visuals, additional visuals, and price. A total of 520 parents (53% male) with a child aged between five and eleven years were recruited via an online panel company and completed the survey. Product visuals, followed by star ratings, were found to be the most significant attributes in driving choice, while written claims and other visuals were the least significant. Use of the Health Star Rating (HSR) system and other features were related to the child's fussiness level and parents' concerns about their child's weight with parents of fussy children, in particular, being less influenced by the HSR star information and price. The findings suggest that front-of-pack health labeling systems can affect choice when parents trade this information off against marketing attributes, yet some marketing attributes can be more influential, and not all parents utilize this information in the same way. Copyright © 2017. Published by Elsevier Ltd.

Attending to the reasons for attribute non-attendance in choice experiments

DEFF Research Database (Denmark)

Alemu, Mohammed Hussen; Mørkbak, Morten Raun; Olsen, Søren Bøye

. Excluding these genuine zero preferences, as the standard approach essentially does, might bias results. Other respondents claim to have ignored attributes to simplify choices. However, we find that these respondents have actually not completely ignored attributes. We argue along the rationally adaptive...... behavioural model that preferences are indeed elicited in these cases, and we show how using a scaling approach can appropriately weight these observations in the econometric model. Finally, we find that some respondents ignore attributes for protest-like reasons which essentially convey no information about...

Chemical and biological attributes of a lowland soil affected by land leveling

Directory of Open Access Journals (Sweden)

José Maria Barbat Parfitt

2013-11-01

Full Text Available The objective of this work was to evaluate the relationship between soil chemical and biological attributes and the magnitude of cuts and fills after the land leveling process of a lowland soil. Soil samples were collected from the 0 - 0.20 m layer, before and after leveling, on a 100 point grid established in the experimental area, to evaluate chemical attributes and soil microbial biomass carbon (MBC. Leveling operations altered the magnitude of soil chemical and biological attributes. Values of Ca, Mg, S, cation exchange capacity, Mn, P, Zn, and soil organic matter (SOM decreased in the soil profile, whereas Al, K, and MBC increased after leveling. Land leveling decreased in 20% SOM average content in the 0 - 0.20 m layer. The great majority of the chemical attributes did not show relations between their values and the magnitude of cuts and fills. The relation was quadratic for SOM, P, and total N, and was linear for K, showing a positive slope and indicating increase in the magnitude of these attributes in cut areas and stability in fill areas. The relationships between these chemical attributes and the magnitude of cuts and fills indicate that the land leveling map may be a useful tool for degraded soil recuperation through amendments and organic fertilizers.

Belief attribution despite verbal interference.

Science.gov (United States)

Forgeot d'Arc, Baudouin; Ramus, Franck

2011-05-01

False-belief (FB) tasks have been widely used to study the ability of individuals to represent the content of their conspecifics' mental states (theory of mind). However, the cognitive processes involved are still poorly understood, and it remains particularly debated whether language and inner speech are necessary for the attribution of beliefs to other agents. We present a completely nonverbal paradigm consisting of silent animated cartoons in five closely related conditions, systematically teasing apart different aspects of scene analysis and allowing the assessment of the attribution of beliefs, goals, and physical causation. In order to test the role of language in belief attribution, we used verbal shadowing as a dual task to inhibit inner speech. Data on 58 healthy adults indicate that verbal interference decreases overall performance, but has no specific effect on belief attribution. Participants remained able to attribute beliefs despite heavy concurrent demands on their verbal abilities. Our results are most consistent with the hypothesis that belief attribution is independent from inner speech.

Efficient binning for bitmap indices on high-cardinality attributes

Energy Technology Data Exchange (ETDEWEB)

Rotem, Doron; Stockinger, Kurt; Wu, Kesheng

2004-11-17

Bitmap indexing is a common technique for indexing high-dimensional data in data warehouses and scientific applications. Though efficient for low-cardinality attributes, query processing can be rather costly for high-cardinality attributes due to the large storage requirements for the bitmap indices. Binning is a common technique for reducing storage costs of bitmap indices. This technique partitions the attribute values into a number of ranges, called bins, and uses bitmap vectors to represent bins (attribute ranges) rather than distinct values. Although binning may reduce storage costs, it may increase the access costs of queries that do not fall on exact bin boundaries (edge bins). For this kind of queries the original data values associated with edge bins must be accessed, in order to check them against the query constraints.In this paper we study the problem of finding optimal locations for the bin boundaries in order to minimize these access costs subject to storage constraints. We propose a dynamic programming algorithm for optimal partitioning of attribute values into bins that takes into account query access patterns as well as data distribution statistics. Mathematical analysis and experiments on real life data sets show that the optimal partitioning achieved by this algorithm can lead to a significant improvement in the access costs of bitmap indexing systems for high-cardinality attributes.

Feature extraction through parallel Probabilistic Principal Component Analysis for heart disease diagnosis

Science.gov (United States)

Shah, Syed Muhammad Saqlain; Batool, Safeera; Khan, Imran; Ashraf, Muhammad Usman; Abbas, Syed Hussnain; Hussain, Syed Adnan

2017-09-01

Automatic diagnosis of human diseases are mostly achieved through decision support systems. The performance of these systems is mainly dependent on the selection of the most relevant features. This becomes harder when the dataset contains missing values for the different features. Probabilistic Principal Component Analysis (PPCA) has reputation to deal with the problem of missing values of attributes. This research presents a methodology which uses the results of medical tests as input, extracts a reduced dimensional feature subset and provides diagnosis of heart disease. The proposed methodology extracts high impact features in new projection by using Probabilistic Principal Component Analysis (PPCA). PPCA extracts projection vectors which contribute in highest covariance and these projection vectors are used to reduce feature dimension. The selection of projection vectors is done through Parallel Analysis (PA). The feature subset with the reduced dimension is provided to radial basis function (RBF) kernel based Support Vector Machines (SVM). The RBF based SVM serves the purpose of classification into two categories i.e., Heart Patient (HP) and Normal Subject (NS). The proposed methodology is evaluated through accuracy, specificity and sensitivity over the three datasets of UCI i.e., Cleveland, Switzerland and Hungarian. The statistical results achieved through the proposed technique are presented in comparison to the existing research showing its impact. The proposed technique achieved an accuracy of 82.18%, 85.82% and 91.30% for Cleveland, Hungarian and Switzerland dataset respectively.

THE INTERDEPENDANCE BETWEEN ATTRIBUTIONS AND SECOND LANGUAGE ATTAINMENTS IN SECONDARY SCHOOL STUDENTS

Directory of Open Access Journals (Sweden)

Bogusława Gosiewska-Turek

2017-07-01

Full Text Available Affective factors are undoubtedly considered to be vital in second language acquisition. Among these factors attribution theory is of primary significance, as it affects learners’ final achievement. It indicates that people attribute various causes in their lives to their success and failure. With the employment of attribution theory, this study examines Polish secondary school adolescent students’ attributions for success and failure in second language learning. The main purpose of the study is to investigate, whether Polish secondary school students’ attributions have an impact on their achievements in second language acquisition. In order to conduct the study, the researcher administered attribution questionnaires to the students and an achievement sheet to the teacher to fill in with students’ semester grades in English. Then the data obtained from the questionnaires and the achievement sheet were correlated. The results show that successful students are more likely to attribute their success to internal facets such as ability and effort and unsuccessful learners attribute their lack of success to external factors, among which task difficulty or luck could be enumerated.

UNTANGLING THE NEAR-IR SPECTRAL FEATURES IN THE PROTOPLANETARY ENVIRONMENT OF KH 15D

Energy Technology Data Exchange (ETDEWEB)

Arulanantham, Nicole A.; Herbst, William; Gilmore, Martha S.; Cauley, P. Wilson [Astronomy Department, Wesleyan University, Middletown, CT 06459 (United States); Leggett, S. K., E-mail: nicole.arulanantham@colorado.edu [Gemini Observatory (North), Hilo, HI 96720 (United States)

2017-01-10

We report on Gemini/GNIRS observations of the binary T Tauri system V582 Mon (KH 15D) at three orbital phases. These spectra allow us to untangle five components of the system: the photosphere and magnetosphere of star B, the jet, scattering properties of the ring material, and excess near-infrared (near-IR) radiation previously attributed to a possible self-luminous planet. We confirm an early-K subgiant classification for star B and show that the magnetospheric He i emission line is variable, possibly indicating increased mass accretion at certain times. As expected, the H{sub 2} emission features associated with the inner part of the jet show no variation with orbital phase. We show that the reflectance spectrum for the scattered light has a distinctive blue slope and spectral features consistent with scattering and absorption by a mixture of water and methane ice grains in the 1–50 μ m size range. This suggests that the methane frost line is closer than ∼5 au in this system, requiring that the grains be shielded from direct radiation. After correcting for features from the scattered light, jet, magnetosphere, and photosphere, we confirm the presence of leftover near-IR light from an additional source, detectable near minimum brightness. A spectral emission feature matching the model spectrum of a 10 M {sub J}, 1 Myr old planet is found in the excess flux, but other expected features from this model are not seen. Our observations, therefore, tentatively support the picture that a luminous planet is present within the system, although they cannot yet be considered definitive.

A FRAMEWORK FOR ATTRIBUTE-BASED COMMUNITY DETECTION WITH APPLICATIONS TO INTEGRATED FUNCTIONAL GENOMICS.

Science.gov (United States)

Yu, Han; Hageman Blair, Rachael

2016-01-01

Understanding community structure in networks has received considerable attention in recent years. Detecting and leveraging community structure holds promise for understanding and potentially intervening with the spread of influence. Network features of this type have important implications in a number of research areas, including, marketing, social networks, and biology. However, an overwhelming majority of traditional approaches to community detection cannot readily incorporate information of node attributes. Integrating structural and attribute information is a major challenge. We propose a exible iterative method; inverse regularized Markov Clustering (irMCL), to network clustering via the manipulation of the transition probability matrix (aka stochastic flow) corresponding to a graph. Similar to traditional Markov Clustering, irMCL iterates between "expand" and "inflate" operations, which aim to strengthen the intra-cluster flow, while weakening the inter-cluster flow. Attribute information is directly incorporated into the iterative method through a sigmoid (logistic function) that naturally dampens attribute influence that is contradictory to the stochastic flow through the network. We demonstrate advantages and the exibility of our approach using simulations and real data. We highlight an application that integrates breast cancer gene expression data set and a functional network defined via KEGG pathways reveal significant modules for survival.

Evolutionary Influences on Attribution and Affect

Directory of Open Access Journals (Sweden)

Jennie Brown

2017-12-01

Full Text Available Evolutionary theory was applied to Reeder and Brewer's schematic theory and Trafimow's affect theory to extend this area of research with five new predictions involving affect and ability attributions, comparing morality and ability attributions, gender differences, and reaction times for affect and attribution ratings. The design included a 2 (Trait Dimension Type: HR, PR × 2 (Behavior Type: morality, ability × 2 (Valence: positive, negative × 2 (Replication: original, replication × 2 (Sex: female or male actor × 2 (Gender: female or male participant × 2 (Order: attribution portion first, affect portion first mixed design. All factors were within participants except the order and participant gender. Participants were presented with 32 different scenarios in which an actor engaged in a concrete behavior after which they made attributions and rated their affect in response to the behavior. Reaction times were measured during attribution and affect ratings. In general, the findings from the experiment supported the new predictions. Affect was related to attributions for both morality and ability related behaviors. Morality related behaviors received more extreme attribution and affect ratings than ability related behaviors. Female actors received stronger attribution and affect ratings for diagnostic morality behaviors compared to male actors. Male and female actors received similar attribution and affect ratings for diagnostic ability behaviors. Diagnostic behaviors were associated with lower reaction times than non-diagnostic behaviors. These findings demonstrate the utility of evolutionary theory in creating new hypotheses and empirical findings in the domain of attribution.

The Role of Green and Traditional Supplier Attributes on Business Performance

Directory of Open Access Journals (Sweden)

José Roberto Mendoza-Fong

2017-08-01

Full Text Available Supplier evaluation and selection are fundamental tasks since they are part of the production process and even initiate the supply chain (SC. Despite their importance in the production system, supplier evaluation and selection may be challenging activities to be performed if companies look at the wide range of available evaluation techniques and methodologies, which now seek to integrate both traditional and green attributes. In addition, companies may refuse to take into account green attributes during the supplier selection process, because they do not know their impact on commercial benefits. To overcome this limitation, this study examines the Mexican manufacturing sector and measures the impact of supplier traditional attributes and green attributes on business performance, namely production process benefits and commercial benefits. As data collection instrument, we administered a survey to 253 supplier evaluators and selectors; then, using the gathered data, we constructed a structural equation model. The model includes four variables to determine the impact of traditional and green attributes on business performance: green attributes, traditional attributes, production process benefits, and commercial benefits. The results indicate that all the latent variables have positive direct effects on one another. For instance, process benefits show the largest effects on commercial benefits, but the most significant effect is caused by traditional attributes on commercial benefits through green attributes and production process benefits.

Celluloid devils: a research study of male nurses in feature films.

Science.gov (United States)

Stanley, David

2012-11-01

To report a study of how male nurses are portrayed in feature films. It was hypothesized that male nurses are frequently portrayed negatively or stereotypically in the film media, potentially having a negative impact on male nurse recruitment and the public's perception of male nurses. An interpretive, qualitative methodology guided by insights into hegemonic masculinity and structured around a set of collective case studies (films) was used to examine the portrayal of male nurses in feature films made in the Western world from 1900 to 2007. Over 36,000 feature film synopses were reviewed (via CINAHL, ProQuest and relevant movie-specific literature) for the keyword 'nurse' and 'nursing' with an additional search for films from 1900 to 2010 for the word 'male nurse'. Identified films were labelled as 'cases' and analysed collectively to determine key attributes related to men in nursing and explore them for the emergence of concepts and themes related to the image of male nurses in films. A total of 13 relevant cases (feature films) were identified with 12 being made in the USA. Most films portrayed male nurses negatively and in ways opposed to hegemonic masculinity, as effeminate, homosexual, homicidal, corrupt or incompetent. Few film images of male nurses show them in traditional masculine roles or as clinically competent or self-confident professionals.   Feature films predominantly portray male nurses negatively. Given the popularity of feature films, there may be negative effects on recruitment and on the public's perception of male nurses. © 2012 Blackwell Publishing Ltd.

Automatic feature extraction in large fusion databases by using deep learning approach

Energy Technology Data Exchange (ETDEWEB)

Farias, Gonzalo, E-mail: gonzalo.farias@ucv.cl [Pontificia Universidad Católica de Valparaíso, Valparaíso (Chile); Dormido-Canto, Sebastián [Departamento de Informática y Automática, UNED, Madrid (Spain); Vega, Jesús; Rattá, Giuseppe [Asociación EURATOM/CIEMAT Para Fusión, CIEMAT, Madrid (Spain); Vargas, Héctor; Hermosilla, Gabriel; Alfaro, Luis; Valencia, Agustín [Pontificia Universidad Católica de Valparaíso, Valparaíso (Chile)

2016-11-15

Highlights: • Feature extraction is a very critical stage in any machine learning algorithm. • The problem dimensionality can be reduced enormously when selecting suitable attributes. • Despite the importance of feature extraction, the process is commonly done manually by trial and error. • Fortunately, recent advances in deep learning approach have proposed an encouraging way to find a good feature representation automatically. • In this article, deep learning is applied to the TJ-II fusion database to get more robust and accurate classifiers in comparison to previous work. - Abstract: Feature extraction is one of the most important machine learning issues. Finding suitable attributes of datasets can enormously reduce the dimensionality of the input space, and from a computational point of view can help all of the following steps of pattern recognition problems, such as classification or information retrieval. However, the feature extraction step is usually performed manually. Moreover, depending on the type of data, we can face a wide range of methods to extract features. In this sense, the process to select appropriate techniques normally takes a long time. This work describes the use of recent advances in deep learning approach in order to find a good feature representation automatically. The implementation of a special neural network called sparse autoencoder and its application to two classification problems of the TJ-II fusion database is shown in detail. Results have shown that it is possible to get robust classifiers with a high successful rate, in spite of the fact that the feature space is reduced to less than 0.02% from the original one.

Automatic feature extraction in large fusion databases by using deep learning approach

International Nuclear Information System (INIS)

Farias, Gonzalo; Dormido-Canto, Sebastián; Vega, Jesús; Rattá, Giuseppe; Vargas, Héctor; Hermosilla, Gabriel; Alfaro, Luis; Valencia, Agustín

2016-01-01

Highlights: • Feature extraction is a very critical stage in any machine learning algorithm. • The problem dimensionality can be reduced enormously when selecting suitable attributes. • Despite the importance of feature extraction, the process is commonly done manually by trial and error. • Fortunately, recent advances in deep learning approach have proposed an encouraging way to find a good feature representation automatically. • In this article, deep learning is applied to the TJ-II fusion database to get more robust and accurate classifiers in comparison to previous work. - Abstract: Feature extraction is one of the most important machine learning issues. Finding suitable attributes of datasets can enormously reduce the dimensionality of the input space, and from a computational point of view can help all of the following steps of pattern recognition problems, such as classification or information retrieval. However, the feature extraction step is usually performed manually. Moreover, depending on the type of data, we can face a wide range of methods to extract features. In this sense, the process to select appropriate techniques normally takes a long time. This work describes the use of recent advances in deep learning approach in order to find a good feature representation automatically. The implementation of a special neural network called sparse autoencoder and its application to two classification problems of the TJ-II fusion database is shown in detail. Results have shown that it is possible to get robust classifiers with a high successful rate, in spite of the fact that the feature space is reduced to less than 0.02% from the original one.

An Internet of Things Approach for Extracting Featured Data Using AIS Database: An Application Based on the Viewpoint of Connected Ships

Directory of Open Access Journals (Sweden)

Wei He

2017-09-01

Full Text Available Automatic Identification System (AIS, as a major data source of navigational data, is widely used in the application of connected ships for the purpose of implementing maritime situation awareness and evaluating maritime transportation. Efficiently extracting featured data from AIS database is always a challenge and time-consuming work for maritime administrators and researchers. In this paper, a novel approach was proposed to extract massive featured data from the AIS database. An Evidential Reasoning rule based methodology was proposed to simulate the procedure of extracting routes from AIS database artificially. First, the frequency distributions of ship dynamic attributes, such as the mean and variance of Speed over Ground, Course over Ground, are obtained, respectively, according to the verified AIS data samples. Subsequently, the correlations between the attributes and belief degrees of the categories are established based on likelihood modeling. In this case, the attributes were characterized into several pieces of evidence, and the evidence can be combined with the Evidential Reasoning rule. In addition, the weight coefficients were trained in a nonlinear optimization model to extract the AIS data more accurately. A real life case study was conducted at an intersection waterway, Yangtze River, Wuhan, China. The results show that the proposed methodology is able to extract data very precisely.

Combining product attributes with recommendation and shopping location attributes to assess consumer preferences for insect-based food products

DEFF Research Database (Denmark)

Alemu, Mohammed Hussen; Olsen, Søren Bøye; Vedel, Suzanne Elizabeth

2017-01-01

into consumers' preferences for termite-based food products (TBFPs) using data from a choice experiment survey in Kenya. A novel feature of this paper is that it investigates the combined effects of product-related and contextual attributes, as well as consumer attitudes on preferences for TBFPs. In addition......, the paper focuses on the extent to which preferences may be affected depending on the meal formats, i.e. whether the termites are introduced either as whole insects or as a processed component in a typical daily meal. The results suggest that consumers prefer TBFPs with high nutritional value and especially...... when they are recommended by officials. Results further indicate that affirmative recommendations are particularly important for the processed TBFP, and consumers prefer to buy this type of product in kiosks or supermarkets than at local marketplaces. Despite a considerable degree of preference...

Island-specific preferences of tourists for environmental features: implications of climate change for tourism dependent states

Energy Technology Data Exchange (ETDEWEB)

Uyarra, M.C.; Cote, I.M. [East Anglia Univ., Norwich (United Kingdom). Centre for Ecology, Evolution and Conservation; Gill, J.A. [East Anglia Univ., Norwich (United Kingdom). School of Environmental Sciences; Tyndall Centre for Climate Change Research, Norwich (United Kingdom); Tinch, R.T. [East Anglia Univ., Norwich (United Kingdom). School of Environmental Sciences; Macaulay Land Use Research Inst., Aberdeen (United Kingdom); Viner, D. [East Anglia Univ., Norwich (United Kingdom). Climate Research Unit; Watkinson, A.R. [East Anglia Univ., Norwich (United Kingdom). Centre for Ecology, Evolution and Conservation; East Anglia Univ., Norwich (United Kingdom). School of Environmental Sciences

2005-03-15

Climate change may affect important environmental components of holiday destinations, which might have repercussions for tourism-dependent economies. This study documents the importance of environmental attributes in determining the choice and holiday enjoyment of tourists visiting Bonaire and Barbados, two Caribbean islands with markedly different tourism markets and infrastructure. Three hundred and sixteen and 338 participants from Bonaire and Barbados, respectively, completed standardized questionnaires. Warm temperatures, clear waters and low health risks were the most important environmental features determining holiday destination choice. However, tourists in Bonaire thereafter prioritized marine wildlife attributes (i.e. coral and fish diversity and abundance) over other environmental features, whereas tourists in Barbados exhibited stronger preferences for terrestrial features, particularly beach characteristics. The willingness of tourists to revisit these islands was strongly linked to the state of the preferred environmental attributes. More than 80% of tourists in Bonaire and Barbados would be unwilling to return for the same holiday price in the event, respectively, of coral bleaching as a result of elevated sea surface temperatures and reduced beach area as a result of sea level rise. Climate change might have a significant impact on Caribbean tourism economy through alteration of environmental features important to destination selection. Island-specific management strategies, such as focusing resources on the protection of key marine or terrestrial features, may provide a means of reducing the environmental and economic impacts of climate change. (author)

Motive attribution asymmetry for love vs. hate drives intractable conflict.

Science.gov (United States)

Waytz, Adam; Young, Liane L; Ginges, Jeremy

2014-11-04

Five studies across cultures involving 661 American Democrats and Republicans, 995 Israelis, and 1,266 Palestinians provide previously unidentified evidence of a fundamental bias, what we term the "motive attribution asymmetry," driving seemingly intractable human conflict. These studies show that in political and ethnoreligious intergroup conflict, adversaries tend to attribute their own group's aggression to ingroup love more than outgroup hate and to attribute their outgroup's aggression to outgroup hate more than ingroup love. Study 1 demonstrates that American Democrats and Republicans attribute their own party's involvement in conflict to ingroup love more than outgroup hate but attribute the opposing party's involvement to outgroup hate more than ingroup love. Studies 2 and 3 demonstrate this biased attributional pattern for Israelis and Palestinians evaluating their own group and the opposing group's involvement in the current regional conflict. Study 4 demonstrates in an Israeli population that this bias increases beliefs and intentions associated with conflict intractability toward Palestinians. Finally, study 5 demonstrates, in the context of American political conflict, that offering Democrats and Republicans financial incentives for accuracy in evaluating the opposing party can mitigate this bias and its consequences. Although people find it difficult to explain their adversaries' actions in terms of love and affiliation, we suggest that recognizing this attributional bias and how to reduce it can contribute to reducing human conflict on a global scale.

Radiological features and biomechanical patterns in Perthes disease

International Nuclear Information System (INIS)

Choo, B.S.; Hogg, A.D.C.; Burwell, R.G.; Moulton, A.; Worthington, B.S.

1990-01-01

This paper examines the relationship between radiologic features and biomechanical patterns in Perthes disease as shown in finite element models. A two-dimensional finite element model of a child's hip that allowed for movement at the joint line was loaded to simulate normal heel strike. The finite element method is a computer-based technique of mathematical modeling that permits calculation of the magnitude and direction of stresses, deformation, and dynamic behavior of continuous structures. In the normal hip model, maximum compressive stresses occur superolaterally and inferomedially in the femoral head, corresponding to the radiographic features of flattening and increased tear drop distance, attributable to cartilage thickening, seen in Perthes disease

Household chaos moderates the link between maternal attribution bias and parenting

Science.gov (United States)

Wang, Z.; Deater-Deckard, K.; Bell, M.A.

2013-01-01

Objective Parents who attribute child misbehavior to children's intentions and dismiss situational factors tend to show more hostility and less warmth in their parenting behavior, and are at greater risk for maltreatment. We extended this literature by investigating the role of household chaos as a moderator of the link between maternal attribution biases and parenting behaviors. Design The current sample included 160 mothers of 3- to7-year-old children. Mothers provided reports on their attribution biases and household chaos levels. Maternal negativity and positivity were measured using self-reports and observers’ ratings. Results The links between attribution bias and parenting behavior were stronger in more chaotic environments, with the moderating effect of chaos being particularly strong for internal attribution bias. Conclusions The findings point to the importance of social cognitive biases in the etiology of maternal behavior in family contexts that lack order and predictability. PMID:24358017

Analytical Features: A Knowledge-Based Approach to Audio Feature Generation

Directory of Open Access Journals (Sweden)

Pachet François

2009-01-01

Full Text Available We present a feature generation system designed to create audio features for supervised classification tasks. The main contribution to feature generation studies is the notion of analytical features (AFs, a construct designed to support the representation of knowledge about audio signal processing. We describe the most important aspects of AFs, in particular their dimensional type system, on which are based pattern-based random generators, heuristics, and rewriting rules. We show how AFs generalize or improve previous approaches used in feature generation. We report on several projects using AFs for difficult audio classification tasks, demonstrating their advantage over standard audio features. More generally, we propose analytical features as a paradigm to bring raw signals into the world of symbolic computation.

Attribute-based proxy re-encryption with keyword search.

Science.gov (United States)

Shi, Yanfeng; Liu, Jiqiang; Han, Zhen; Zheng, Qingji; Zhang, Rui; Qiu, Shuo

2014-01-01

Keyword search on encrypted data allows one to issue the search token and conduct search operations on encrypted data while still preserving keyword privacy. In the present paper, we consider the keyword search problem further and introduce a novel notion called attribute-based proxy re-encryption with keyword search (ABRKS), which introduces a promising feature: In addition to supporting keyword search on encrypted data, it enables data owners to delegate the keyword search capability to some other data users complying with the specific access control policy. To be specific, ABRKS allows (i) the data owner to outsource his encrypted data to the cloud and then ask the cloud to conduct keyword search on outsourced encrypted data with the given search token, and (ii) the data owner to delegate other data users keyword search capability in the fine-grained access control manner through allowing the cloud to re-encrypted stored encrypted data with a re-encrypted data (embedding with some form of access control policy). We formalize the syntax and security definitions for ABRKS, and propose two concrete constructions for ABRKS: key-policy ABRKS and ciphertext-policy ABRKS. In the nutshell, our constructions can be treated as the integration of technologies in the fields of attribute-based cryptography and proxy re-encryption cryptography.

Attribute-Based Proxy Re-Encryption with Keyword Search

Science.gov (United States)

Shi, Yanfeng; Liu, Jiqiang; Han, Zhen; Zheng, Qingji; Zhang, Rui; Qiu, Shuo

2014-01-01

Keyword search on encrypted data allows one to issue the search token and conduct search operations on encrypted data while still preserving keyword privacy. In the present paper, we consider the keyword search problem further and introduce a novel notion called attribute-based proxy re-encryption with keyword search (), which introduces a promising feature: In addition to supporting keyword search on encrypted data, it enables data owners to delegate the keyword search capability to some other data users complying with the specific access control policy. To be specific, allows (i) the data owner to outsource his encrypted data to the cloud and then ask the cloud to conduct keyword search on outsourced encrypted data with the given search token, and (ii) the data owner to delegate other data users keyword search capability in the fine-grained access control manner through allowing the cloud to re-encrypted stored encrypted data with a re-encrypted data (embedding with some form of access control policy). We formalize the syntax and security definitions for , and propose two concrete constructions for : key-policy and ciphertext-policy . In the nutshell, our constructions can be treated as the integration of technologies in the fields of attribute-based cryptography and proxy re-encryption cryptography. PMID:25549257

Health professionals’ familiarity and attributions to mental illness

Directory of Open Access Journals (Sweden)

Aghukwa Nkereuwem Chikaodiri

2010-01-01

Full Text Available A few months from the time of this survey, the nearly completed inpatient psychiatric facility within the Aminu Kano Teaching Hospital’s complex would be ready for admissions. Understanding the health workers’ level of experience of mental illness and their likely behavioural responses towards people with psychiatric illness, therefore, should be a good baseline to understanding their likely reactions towards admitting such patients within a general hospital setting. The study, which used a pre-tested and adapted attribution questionnaire, was pro­spective and cross-sectional. Randomly selected health workers in Aminu Kano Teaching Hospital had their level of familiarity and attributions towards psychiatric patients assessed. The respondents showed a high level of experience with mental illness, with more than 3 in 5 of them having watched movies on mental illness before. More than half of them held positive (favorable attributions towards persons with mental illness on nine of the ten assessed attribution factors. Almost all held negative (unfavourable opinion towards intimate relationships with such persons. Attribution factors, “Responsibility, “Anger”, “Dangerousness”, “Fear” and “Segregation” were significantly related to the respondents’ level of education (P less than 0.05. Marital status of the respondents related significantly to “Pity” and “Avoidance” factors (P less than 0.05. Having watched movies on mental illness significantly related to “Responsibility” and “Fear” factors (P less than 0.05. Programs designed to improve the health workers mental health literacy, and increased positive professional contacts with mentally ill persons on treatment, would further enhance their perceived positive attributions towards them.

Can interface features affect aggression resulting from violent video game play? An examination of realistic controller and large screen size.

Science.gov (United States)

Kim, Ki Joon; Sundar, S Shyam

2013-05-01

Aggressiveness attributed to violent video game play is typically studied as a function of the content features of the game. However, can interface features of the game also affect aggression? Guided by the General Aggression Model (GAM), we examine the controller type (gun replica vs. mouse) and screen size (large vs. small) as key technological aspects that may affect the state aggression of gamers, with spatial presence and arousal as potential mediators. Results from a between-subjects experiment showed that a realistic controller and a large screen display induced greater aggression, presence, and arousal than a conventional mouse and a small screen display, respectively, and confirmed that trait aggression was a significant predictor of gamers' state aggression. Contrary to GAM, however, arousal showed no effects on aggression; instead, presence emerged as a significant mediator.

Customers' attributional judgments towards complaint handling in airline service: a confirmatory study based on attribution theory.

Science.gov (United States)

Chiou, Wen-Bin

2007-06-01

Besides flight safety, complaint handling plays a crucial role in airline service. Based upon Kelley's attribution theory, in the present study customers' attributions were examined under different conditions of complaint handling by the airlines. There were 531 passengers (216 women; ages 21 to 63 years, M = 41.5, SD = 11.1) with experiences of customer complaints who were recruited while awaiting boarding. Participants received one hypothetical scenario of three attributional conditions about complaint handling and then reported their attributional judgments. The findings indicated that the passengers were most likely to attribute the company's complaint handling to unconditional compliance when the airline company reacted to customer complaints under low distinctiveness, high consistency, and when consensus among the airlines was low. On the other hand, most passengers attributed the company's complaint handling to conditional compliance under the conditions in which distinctiveness, consistency, and consensus were all high. The results provide further insights into how different policies of complaint management affect customers' attributions. Future directions and managerial implications are also discussed.

Key attributes of expert NRL referees.

Science.gov (United States)

Morris, Gavin; O'Connor, Donna

2017-05-01

Experiential knowledge of elite National Rugby League (NRL) referees was investigated to determine the key attributes contributing to expert officiating performance. Fourteen current first-grade NRL referees were asked to identify the key attributes they believed contributed to their expert refereeing performance. The modified Delphi method involved a 3-round process of an initial semi-structured interview followed by 2 questionnaires to reach consensus of opinion. The data revealed 25 attributes that were rated as most important that underpin expert NRL refereeing performance. Results illustrate the significance of the cognitive category, with the top 6 ranked attributes all cognitive skills. Of these, the referees ranked decision-making accuracy as the most important attribute, followed by reading the game, communication, game understanding, game management and knowledge of the rules. Player rapport, positioning and teamwork were the top ranked game skill attributes underpinning performance excellence. Expert referees also highlighted a number of psychological attributes (e.g., concentration, composure and mental toughness) that were significant to performance. There were only 2 physiological attributes (fitness, aerobic endurance) that were identified as significant to elite officiating performance. In summary, expert consensus was attained which successfully provided a hierarchy of the most significant attributes of expert NRL refereeing performance.

Postdetonation nuclear debris for attribution.

Science.gov (United States)

Fahey, A J; Zeissler, C J; Newbury, D E; Davis, J; Lindstrom, R M

2010-11-23

On the morning of July 16, 1945, the first atomic bomb was exploded in New Mexico on the White Sands Proving Ground. The device was a plutonium implosion device similar to the device that destroyed Nagasaki, Japan, on August 9 of that same year. Recently, with the enactment of US public law 111-140, the "Nuclear Forensics and Attribution Act," scientists in the government and academia have been able, in earnest, to consider what type of forensic-style information may be obtained after a nuclear detonation. To conduct a robust attribution process for an exploded device placed by a nonstate actor, forensic analysis must yield information about not only the nuclear material in the device but about other materials that went into its construction. We have performed an investigation of glassed ground debris from the first nuclear test showing correlations among multiple analytical techniques. Surprisingly, there is strong evidence, obtainable only through microanalysis, that secondary materials used in the device can be identified and positively associated with the nuclear material.

Economising subsidies for green housing features: A stated preference approach

Directory of Open Access Journals (Sweden)

Yung Yau

2014-12-01

Full Text Available In light of the enormous amounts of energy and resources consumed by housing development and operations, many governments have started recognising the urgent need to promote green or eco-friendly housing with the aim of achieving sustainable development. Apart from regulations, governments can offer incentives to developers to provide green features in their developments by offering subsidies in various forms. However, such subsidisation is often uneconomical. In theory, market forces can lead to green housing provision without any government intervention if the market players are willing to pay extra for the green features of housing. Against this background, this article presents the findings of a study that compared potential homebuyers’ willingness to pay (WTP for various green housing features based on findings from a structured questionnaire survey in Macau. The housing attributes under investigation included uses of green materials (e.g., sustainable forest products and construction methods (e.g., prefabrication, energy-efficient technologies (e.g., LED lighting and water-saving devices (e.g., grey-water recycling systems. Results indicate that the respondents’ WTP was mainly motivated by economic incentives. Green housing attributes that can offer direct financial benefits corresponded to greater WTP. The policy implications of the research findings then follow.

Attribute importance segmentation of Norwegian seafood consumers: The inclusion of salient packaging attributes.

Science.gov (United States)

Olsen, Svein Ottar; Tuu, Ho Huu; Grunert, Klaus G

2017-10-01

The main purpose of this study is to identify consumer segments based on the importance of product attributes when buying seafood for homemade meals on weekdays. There is a particular focus on the relative importance of the packaging attributes of fresh seafood. The results are based on a representative survey of 840 Norwegian consumers between 18 and 80 years of age. This study found that taste, freshness, nutritional value and naturalness are the most important attributes for the home consumption of seafood. Except for the high importance of information about expiration date, most other packaging attributes have only medium importance. Three consumer segments are identified based on the importance of 33 attributes associated with seafood: Perfectionists, Quality Conscious and Careless Consumers. The Quality Conscious consumers feel more self-confident in their evaluation of quality, and are less concerned with packaging, branding, convenience and emotional benefits compared to the Perfectionists. Careless Consumers are important as regular consumers of convenient and pre-packed seafood products and value recipe information on the packaging. The seafood industry may use the results provided in this study to strengthen their positioning of seafood across three different consumer segments. Copyright © 2017 Elsevier Ltd. All rights reserved.

Evaluation of an attributive measurement system in the automotive industry

Science.gov (United States)

Simion, C.

2016-08-01

Measurement System Analysis (MSA) is a critical component for any quality improvement process. MSA is defined as an experimental and mathematical method of determining how much the variation within the measurement process contributes to overall process variability and it falls into two categories: attribute and variable. Most problematic measurement system issues come from measuring attribute data, which are usually the result of human judgment (visual inspection). Because attributive measurement systems are often used in some manufacturing processes, their assessment is important to obtain the confidence in the inspection process, to see where are the problems in order to eliminate them and to guide the process improvement. It was the aim of this paper to address such a issue presenting a case study made in a local company from the Sibiu region supplying products for the automotive industry, specifically the bag (a technical textile component, i.e. the fabric) for the airbag module. Because defects are inherent in every manufacturing process and in the field of airbag systems a minor defect can influence their performance and lives depend on the safety feature, there is a stringent visual inspection required on the defects of the bag material. The purpose of this attribute MSA was: to determine if all inspectors use the same criteria to determine “pass” from “fail” product (i.e. the fabric); to assess company inspection standards against customer's requirements; to determine how well inspectors are conforming to themselves; to identify how inspectors are conforming to a “known master,” which includes: how often operators ship defective product, how often operators dispose of acceptable product; to discover areas where training is required, procedures must be developed and standards are not available. The results were analyzed using MINITAB software with its module called Attribute Agreement Analysis. The conclusion was that the inspection process must

Neural correlates of depressive realism--an fMRI study on causal attribution in depression.

Science.gov (United States)

Seidel, Eva-Maria; Satterthwaite, Theodore D; Eickhoff, Simon B; Schneider, Frank; Gur, Ruben C; Wolf, Daniel H; Habel, Ute; Derntl, Birgit

2012-05-01

Biased causal attribution is a critical factor in the cognitive model of depression. Whereas depressed patients interpret events negatively, healthy people show a self-serving bias (internal attribution of positive events and external attribution of negative events). Using fMRI, depressed patients (n=15) and healthy controls (n=15) were confronted with positive and negative social events and made causal attributions (internal vs. external). Functional data were analyzed using a mixed effects model. Behaviourally, controls showed a self-serving bias, whereas patients demonstrated a balanced attributional pattern. Analysis of functional data revealed a significant group difference in a fronto-temporal network. Higher activation of this network was associated with non self-serving attributions in controls but self-serving attributions in patients. Applying a psycho-physiological interaction analysis, we observed reduced coupling between a dorsomedial PFC seed region and limbic areas during self-serving attributions in patients compared to controls. Results of the PPI analysis are preliminary given the liberal statistical threshold. The association of the behaviourally less frequent attributional pattern with activation in a fronto-temporal network suggests that non self-serving responses may produce a self-related response conflict in controls, while self-serving responses produce this conflict in patients. Moreover, attribution-modulated coupling between the dorsomedial PFC and limbic regions was weaker in patients than controls. This preliminary finding suggests that depression may be associated with disturbances in fronto-limbic coupling during attributional decisions. Our results implicate that treatment of major depression may benefit from approaches that facilitate reinterpretation of emotional events in a more positive, more self-serving way. Copyright © 2012 Elsevier B.V. All rights reserved.

Protein complex prediction in large ontology attributed protein-protein interaction networks.

Science.gov (United States)

Zhang, Yijia; Lin, Hongfei; Yang, Zhihao; Wang, Jian; Li, Yanpeng; Xu, Bo

2013-01-01

Protein complexes are important for unraveling the secrets of cellular organization and function. Many computational approaches have been developed to predict protein complexes in protein-protein interaction (PPI) networks. However, most existing approaches focus mainly on the topological structure of PPI networks, and largely ignore the gene ontology (GO) annotation information. In this paper, we constructed ontology attributed PPI networks with PPI data and GO resource. After constructing ontology attributed networks, we proposed a novel approach called CSO (clustering based on network structure and ontology attribute similarity). Structural information and GO attribute information are complementary in ontology attributed networks. CSO can effectively take advantage of the correlation between frequent GO annotation sets and the dense subgraph for protein complex prediction. Our proposed CSO approach was applied to four different yeast PPI data sets and predicted many well-known protein complexes. The experimental results showed that CSO was valuable in predicting protein complexes and achieved state-of-the-art performance.

ANALISIS PERSEPSI AUDITOR MENGENAI FAKTOR PENENTU AUDIT FEE BERDASARKAN CLIENT ATTRIBUTES, AUDITOR ATTRIBUTES, DAN ENGAGEMENT ATRTRIBUTES

Directory of Open Access Journals (Sweden)

Aman Faturachman

2013-04-01

Full Text Available This research purposes to know how perception auditors about determining factors of audit fee based on Client Attributes, Auditor Attributes, and Engagement Attributes at The Public Accountant Firm residing in Bandung. In this research, the indicator that is used to characterize the Client Attributes are size, complexity, inherent risk, profitability, leverage and liquidity, and industry. While the indicator to characterize the Auditor Attributes are auditor’s specialization, audit tenure, and location. And the indicators to characterize the Engagement Attributes are audit problems, audit report lag, busy season, and number of reports. The Method that is used in this research is a descriptive method. The population in this research is a public accountant in Bandung. Based on sampling techniques that saturated and qualified then it take about 11 offices of public accountant. SmartPLS ver 2.0 M3 are used as a Statistical analysis. The result of this research with count the loading factor and bootstrapping method are, the first one that the perception of the auditor based on client attributes of audit fee determinants from which is very important to not important is size, complexity, profitability, inherent risk,  industry, and leverage & liquidty, the second states that perception based on auditor attributes audit fee determinants from which is very important to not important is audit tenure, location, and specialization. And the third states that the perception of auditor engagement attributes based determinants of audit fee which is very important to not important audit report lag, busy season, audit problems and number of reports.

Labeled experimental choice design for estimating attribute and availability cross effects with N attributes and specific brand attribute levels

DEFF Research Database (Denmark)

Nguyen, Thong Tien

2011-01-01

Experimental designs are required in widely used techniques in marketing research, especially for preference-based conjoint analysis and discrete-choice studies. Ideally, marketing researchers prefer orthogonal designs because this technique could give uncorrelated parameter estimates. However, o...... for implementing designs that is efficient enough to estimate model with N brands, each brand have K attributes, and brand attribute has specific levels. The paper also illustrates an example in food consumption study.......Experimental designs are required in widely used techniques in marketing research, especially for preference-based conjoint analysis and discrete-choice studies. Ideally, marketing researchers prefer orthogonal designs because this technique could give uncorrelated parameter estimates. However......, orthogonal design is not available for every situation. Instead, efficient design based on computerized design algorithm is always available. This paper presents the method of efficient design for estimating brand models having attribute and availability cross effects. The paper gives a framework...

Attributes to facilitate e-waste recycling behaviour

Directory of Open Access Journals (Sweden)

Senawi Nur Hidayah

2016-01-01

Full Text Available This study aims to identify the set of attributes to facilitate electronic waste (e-waste behaviour among the community. E-waste disposal is increasing from year to year in parallel with increasing of global population. The short lifespan of electronics and poor e-waste recycling behaviour is among the main contributors to the steadily increasing of e-waste generated. Current recycling rate among the nation is lacking behind, which is only 10.5%. A questionnaire survey has been conducted among the students in Universiti Teknologi Malaysia to evaluate the current e-waste recycling practice. The results showed that majority of the respondents did not recycle their e-waste on campus. Aggressive efforts is needed to realize the country’s target of 20% recycling rate in year 2020, one of the effective paths is to minimize e-waste generation via active e-waste recycling behaviour among the community. Extensive literatures have been reviewed to classify the attributes to facilitate effective e-waste recycling among the community. Total of five attributes that identified in this study which are Convenience of E- waste Recycling Infrastruture and Services, E-waste Recycling Information, Incentives For E-waste Recycling, Reminder to Recycle E-waste And E-waste Recycling Infrastructure and Services. The set of attributes identified in this study may serve as guideline for the management in designing program to foster e-waste recycling behaviour among the community.

Family caregivers' attributions about care-recipient behaviour: does caregiver relationship satisfaction mediate the attribution-distress relationship?

Science.gov (United States)

Hui, Siu-Kuen Azor; Elliott, Timothy R; Martin, Roy; Uswatte, Gitendra

2011-09-01

The relations of caregiver attributions about care-recipient's problem behaviour to caregiving relationship satisfaction and caregiver distress were examined. This is a cross sectional study. Seventy-five family caregivers of individuals diagnosed with various disabling health conditions were recruited and interviewed. Caregiver attributions (internality, intentionality, responsibility, and controllability), caregiving relationship satisfaction, and caregiver distress variables were measured. Structural equation techniques tested an a priori model of the latent constructs of caregiver attributions and caregiver relationship satisfaction to caregiver distress. Maladaptive caregiver attributions (i.e., more trait, higher intentionality, higher responsibility, and higher controllability) about care-recipients' problem behaviours predicted lower caregiving relationship satisfaction, which in turn was predictive of higher caregiver distress. Unexpectedly, caregiver attributions were not directly related to caregiver distress. However, attributions had an indirect effect on distress through relationship satisfaction. Younger caregivers experienced higher caregiver distress. Caregivers' explanations about care-recipient's problem behaviour are indicative of their satisfaction in the relationship with the care recipient, and poor caregiving relationship satisfaction is predictive of caregiver distress. Caregiver attributions and relationship quality may be considered in interventions with family caregivers. ©2010 The British Psychological Society.

The infrared emission features in the spectrum of the Wolf-Rayet star WR 48a

NARCIS (Netherlands)

Chiar, JE; Peeters, E; Tielens, A. G. G. M.

2002-01-01

We present the first detection of unidentified infrared (UIR) emission features at similar to6.4 and 7.9 mum in the spectrum of the dusty WC8 Wolf-Rayet star WR 48a. Based on the H-deficient nature of WC stars, we attribute the emission features to large carbonaceous molecules or amorphous carbon

The influence of lean manufacturing practices in cellular manufacturing qualifying attributes

Directory of Open Access Journals (Sweden)

Giuliano Almeida Marodin

2013-11-01

Full Text Available This article aims to investigate how of lean production (LP influences to a manufacturing cell (MC performance, based on the theoretical study about the attributes that characterize a MC. It was necessary to develop the concept of MC in a socio-technical system perspective, incorporating a technical attribute, a social attribute and the elements of time, space and information to define a "real cell". The results show that most of LM practices aim to increase time and information. The rapid problem solving process and the use of minimal amount of inventory between the activities of the cell seeks to simultaneously reduces the processing time and increase the degree of information. Although influenced to a lesser degree, the organizational attribute and space element are also positively influenced by the practical application of PE.

The role of occupational attributes in gender earnings inequality, 1970-2010.

Science.gov (United States)

Mandel, Hadas

2016-01-01

Grounded in the research on the important role of social structures in forming gender inequalities, this study examines the effect of occupational attributes on the gender earnings gap over four decades. Using the IPUMS-USA from 1970 to 2010, the paper shows that occupational attributes cannot be reduced to the aggregate attributes of their individual incumbents. Rather, the effect of occupations on the gender earnings gap goes far beyond both the distributive role of occupational segregation and the effect of individual wage-related characteristics. Furthermore, occupations not only explain a significant portion of net gender pay gaps, but have also contributed to the narrowing of the gaps over the past several decades, as occupational attributes that favor women's pay have become more dominant over time. Copyright © 2015 Elsevier Inc. All rights reserved.

Motive attribution asymmetry for love vs. hate drives intractable conflict

Science.gov (United States)

Waytz, Adam; Young, Liane L.; Ginges, Jeremy

2014-01-01

Five studies across cultures involving 661 American Democrats and Republicans, 995 Israelis, and 1,266 Palestinians provide previously unidentified evidence of a fundamental bias, what we term the “motive attribution asymmetry,” driving seemingly intractable human conflict. These studies show that in political and ethnoreligious intergroup conflict, adversaries tend to attribute their own group’s aggression to ingroup love more than outgroup hate and to attribute their outgroup’s aggression to outgroup hate more than ingroup love. Study 1 demonstrates that American Democrats and Republicans attribute their own party’s involvement in conflict to ingroup love more than outgroup hate but attribute the opposing party’s involvement to outgroup hate more than ingroup love. Studies 2 and 3 demonstrate this biased attributional pattern for Israelis and Palestinians evaluating their own group and the opposing group’s involvement in the current regional conflict. Study 4 demonstrates in an Israeli population that this bias increases beliefs and intentions associated with conflict intractability toward Palestinians. Finally, study 5 demonstrates, in the context of American political conflict, that offering Democrats and Republicans financial incentives for accuracy in evaluating the opposing party can mitigate this bias and its consequences. Although people find it difficult to explain their adversaries’ actions in terms of love and affiliation, we suggest that recognizing this attributional bias and how to reduce it can contribute to reducing human conflict on a global scale. PMID:25331879

Privacy Protection on Multiple Sensitive Attributes

Science.gov (United States)

Li, Zhen; Ye, Xiaojun

In recent years, a privacy model called k-anonymity has gained popularity in the microdata releasing. As the microdata may contain multiple sensitive attributes about an individual, the protection of multiple sensitive attributes has become an important problem. Different from the existing models of single sensitive attribute, extra associations among multiple sensitive attributes should be invested. Two kinds of disclosure scenarios may happen because of logical associations. The Q&S Diversity is checked to prevent the foregoing disclosure risks, with an α Requirement definition used to ensure the diversity requirement. At last, a two-step greedy generalization algorithm is used to carry out the multiple sensitive attributes processing which deal with quasi-identifiers and sensitive attributes respectively. We reduce the overall distortion by the measure of Masking SA.

TIGER/Line Shapefile, 2015, Series Information for the Address Range-Feature County-based Shapefile

Data.gov (United States)

US Census Bureau, Department of Commerce — The Address Ranges Feature Shapefile (ADDRFEAT.dbf) contains the geospatial edge geometry and attributes of all unsuppressed address ranges for a county or county...

Attribution and reciprocity

DEFF Research Database (Denmark)

Sebald, Alexander Christopher

2010-01-01

, in turn, influence behavior. Dufwenberg and Kirchsteiger [Dufwenberg, M., Kirchsteiger, G., 2004. A theory of sequential reciprocity. Games Econ. Behav. 47 (2), 268-298] formalize this empirical finding in their ‘theory of sequential reciprocity'. This paper extends their analysis by moves of chance. More...... precisely, an extended framework is presented which allows for the analysis of strategic interactions of reciprocal agents in situations in which material outcomes also depend on chance. Moves of chance influence the attribution of responsibilities, people's perceptions about the (un)kindness of others and......, hence, their reciprocal behavior. Furthermore, with the help of two applications it is demonstrated how this framework can be used to explain experimental findings showing that people react very differently in outcomewise-identical situations depending on the moves of chance involved....

Effect of Stress State on Fracture Features

Science.gov (United States)

Das, Arpan

2018-02-01

Present article comprehensively explores the influence of specimen thickness on the quantitative estimates of different ductile fractographic features in two dimensions, correlating tensile properties of a reactor pressure vessel steel tested under ambient temperature where the initial crystallographic texture, inclusion content, and their distribution are kept unaltered. It has been investigated that the changes in tensile fracture morphology of these steels are directly attributable to the resulting stress-state history under tension for given specimen dimensions.

Honored Teacher Shows Commitment.

Science.gov (United States)

Ratte, Kathy

1987-01-01

Part of the acceptance speech of the 1985 National Council for the Social Studies Teacher of the Year, this article describes the censorship experience of this honored social studies teacher. The incident involved the showing of a videotape version of the feature film entitled "The Seduction of Joe Tynan." (JDH)

Textural kinetics: a novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification.

Science.gov (United States)

Agner, Shannon C; Soman, Salil; Libfeld, Edward; McDonald, Margie; Thomas, Kathleen; Englander, Sarah; Rosen, Mark A; Chin, Deanna; Nosher, John; Madabhushi, Anant

2011-06-01

Dynamic contrast-enhanced (DCE)-magnetic resonance imaging (MRI) of the breast has emerged as an adjunct imaging tool to conventional X-ray mammography due to its high detection sensitivity. Despite the increasing use of breast DCE-MRI, specificity in distinguishing malignant from benign breast lesions is low, and interobserver variability in lesion classification is high. The novel contribution of this paper is in the definition of a new DCE-MRI descriptor that we call textural kinetics, which attempts to capture spatiotemporal changes in breast lesion texture in order to distinguish malignant from benign lesions. We qualitatively and quantitatively demonstrated on 41 breast DCE-MRI studies that textural kinetic features outperform signal intensity kinetics and lesion morphology features in distinguishing benign from malignant lesions. A probabilistic boosting tree (PBT) classifier in conjunction with textural kinetic descriptors yielded an accuracy of 90%, sensitivity of 95%, specificity of 82%, and an area under the curve (AUC) of 0.92. Graph embedding, used for qualitative visualization of a low-dimensional representation of the data, showed the best separation between benign and malignant lesions when using textural kinetic features. The PBT classifier results and trends were also corroborated via a support vector machine classifier which showed that textural kinetic features outperformed the morphological, static texture, and signal intensity kinetics descriptors. When textural kinetic attributes were combined with morphologic descriptors, the resulting PBT classifier yielded 89% accuracy, 99% sensitivity, 76% specificity, and an AUC of 0.91.

Attributional and relational processing in pigeons

Directory of Open Access Journals (Sweden)

Dennis eGarlick

2011-02-01

Full Text Available Six pigeons were trained using a matching-to-sample procedure where sample and rewarded comparisons matched on both attributional (color and relational (horizontal or vertical orientation dimensions. Probes then evaluated the pigeons’ preference to comparisons that varied in these dimensions. A strong preference was found for the attribute of color. The discrimination was not found to transfer to novel colors, however, suggesting that a general color rule had not been learned. Further, when color could not be used to guide responding, some influence of other attributional cues such as shape, but not relational cues, was found. We conclude that pigeons based their performance on attributional properties of but not on relational properties between elements in our matching-to-sample procedure.. Future studies should look at examining other attributes to compare attributional versus relational processing.

Interplay between marital attributions and conflict behavior in predicting depressive symptoms.

Science.gov (United States)

Ellison, Jenna K; Kouros, Chrystyna D; Papp, Lauren M; Cummings, E Mark

2016-03-01

Marital attributions-that is, causal inferences and explanations spouses make about their partners' behavior-have been implicated as predictors of relationship functioning. Extending previous work, we examined marital attributions as a moderator of the link between marital conflict and depressive symptoms 1 year later. Participants were 284 couples who reported on marital attributions and depressive symptoms. Couples also engaged in a videotaped marital conflict interaction, which was later coded for specific conflict behaviors. The results showed that husbands' and wives' marital attributions about their partner moderated relations between marital conflict behavior and later depressive symptoms, controlling for global marital sentiments. For husbands, positive behavior and affect during marital conflict predicted a decrease in depressive symptoms, but only for husbands' who made low levels of responsibility and causal attributions about their wives. Wives' causal attributions about their partner also moderated relations between positive behavior and affect during marital conflict and husbands' later depressive symptoms. Reflecting an unexpected finding, negative behavior and affect during marital conflict predicted increases in wives' depressive symptoms, but only for wives who made low levels of responsibility attributions about their partner. The findings suggest that, for husbands, low levels of negative marital attributions for spouses may be protective, strengthening the positive effect of constructive conflict behaviors for their mental health, whereas for wives low levels of responsibility attributions about their spouse may be a risk factor, exacerbating the negative effect of negative marital conflict behaviors on their later depressive symptoms. (c) 2016 APA, all rights reserved).

Attribution of UK Winter Floods to Anthropogenic Forcing

Science.gov (United States)

Schaller, N.; Alison, K.; Sparrow, S. N.; Otto, F. E. L.; Massey, N.; Vautard, R.; Yiou, P.; van Oldenborgh, G. J.; van Haren, R.; Lamb, R.; Huntingford, C.; Crooks, S.; Legg, T.; Weisheimer, A.; Bowery, A.; Miller, J.; Jones, R.; Stott, P.; Allen, M. R.

2014-12-01

Many regions of southern UK experienced severe flooding during the 2013/2014 winter. Simultaneously, large areas in the USA and Canada were struck by prolonged cold weather. At the time, the media and public asked whether the general rainy conditions over northern Europe and the cold weather over North America were caused by climate change. Providing an answer to this question is not trivial, but recent studies show that probabilistic event attribution is feasible. Using the citizen science project weather@home, we ran over 40'000 perturbed initial condition simulations of the 2013/2014 winter. These simulations fall into two categories: one set aims at simulating the world with climate change using observed sea surface temperatures while the second set is run with sea surface temperatures corresponding to a world that might have been without climate change. The relevant modelled variables are then downscaled by a hydrological model to obtain river flows. First results show that anthropogenic climate change led to a small but significant increase in the fractional attributable risk for 30-days peak flows for the river Thames. A single number can summarize the final result from probabilistic attribution studies indicating, for example, an increase, decrease or no change to the risk of the event occurring. However, communicating this to the public, media and other scientists remains challenging. The assumptions made in the chain of models used need to be explained. In addition, extreme events, like the UK floods of the 2013/2014 winter, are usually caused by a range of factors. While heavy precipitation events can be caused by dynamic and/or thermodynamic processes, floods occur only partly as a response to heavy precipitation. Depending on the catchment, they can be largely due to soil properties and conditions of the previous months. Probabilistic attribution studies are multidisciplinary and therefore all aspects need to be communicated properly.

Mental disease-related emergency admissions attributable to hot temperatures.

Science.gov (United States)

Lee, Suji; Lee, Hwanhee; Myung, Woojae; Kim, E Jin; Kim, Ho

2018-03-01

The association between high temperature and mental disease has been the focus of several studies worldwide. However, no studies have focused on the mental disease burden attributable to hot temperature. Here, we aim to quantify the risk attributed to hot temperatures based on the exposure-lag-response relationship between temperature and mental diseases. From data on daily temperature and emergency admissions (EA) for mental diseases collected from 6 major cities (Seoul, Incheon, Daejeon, Daegu, Busan, and Gwangju in South Korea) over a period of 11years (2003-2013), we estimated temperature-disease associations using a distributed lag non-linear model, and we pooled the data by city through multivariate meta-analysis. Cumulative relative risk and attributable risks were calculated for extreme hot temperatures, defined as the 99th percentile relative to the 50th percentile of temperatures. The strongest association between mental disease and high temperature was seen within a period of 0-4days of high temperature exposure. Our results reveal that 14.6% of EA for mental disease were due to extreme hot temperatures, and the elderly were more susceptible (19.1%). Specific mental diseases, including anxiety, dementia, schizophrenia, and depression, also showed significant risk attributed to hot temperatures. Of all EA for anxiety, 31.6% were attributed to extremely hot temperatures. High temperature was responsible for an attributable risk for mental disease, and the burden was higher in the elderly. This finding has important implications for designing appropriate public health policies to minimize the impact of high temperature on mental health. Copyright © 2017 Elsevier B.V. All rights reserved.

Gluon attributes

International Nuclear Information System (INIS)

Weiler, T.

1981-01-01

An overview is presented of the attributes of gluons, deducible from experimental data. Particular attention is given to the photon-gluon fusion model of charm leptoproduction. The agreement with QCD and theoretical prejudice is qualitatively good

Attributable risk of Capillaria species in domestic pigeons (Columba livia domestica

Directory of Open Access Journals (Sweden)

M.F. Qamar

Full Text Available ABSTRACT Fecal samples were collected from 120 domestic pigeons to determine the Attributable risk of Capillaria spp. The Capillaria spp. was observed in 64 out of 120 (51% pigeons (70 males and 50 females under this study. A total of 64 (39 males and 25 females were found naturally infected with Capillaria spp. with infection percentage of 51% and 50% in males and females respectively. Qualitative examinations include the direct microscopy and faecal floatation while quantitative examination includes McMaster technique (worms load was calculated per gram of the faeces. Month wise Attributable risk showed that eggs of the worms were found to be abundant in the month of July during the present study (60% to 73% because of high humidity. Very high and very low temperature is not suitable for the proper development of the eggs. Qualitative and quantitative examination revealed that Capillaria spp. was more prevalent in males (51% than females (50% but overall there was no significant difference (P>0.05 in the male and female because both individuals invest equal amount of energy in search of food and incubating the eggs. Different breeds of pigeons gave different Attributable risk in different months during the study. Groups of pigeons from different locations showed different variable Attributable risk. Areas with high humidity were more suitable for the development of eggs, which is the reason why higher Attributable risk was observed in Shahdara (75% area of Lahore, Pakistan.

A TALE OF THREE MYSTERIOUS SPECTRAL FEATURES IN CARBON-RICH EVOLVED STARS: THE 21 μm, 30 μm, AND “UNIDENTIFIED INFRARED” EMISSION FEATURES

Energy Technology Data Exchange (ETDEWEB)

Mishra, Ajay; Li, Aigen [Department of Physics and Astronomy, University of Missouri, Columbia, MO 65211 (United States); Jiang, B. W., E-mail: amishra@mail.missouri.edu, E-mail: lia@missouri.edu, E-mail: bjiang@bnu.edu.cn [Department of Astronomy, Beijing Normal University, Beijing 100875 (China)

2015-03-20

The mysterious “21 μm” emission feature seen almost exclusively in the short-lived protoplanetary nebula (PPN) phase of stellar evolution remains unidentified since its discovery two decades ago. This feature is always accompanied by the equally mysterious, unidentified “30 μm” feature and the so-called “unidentified infrared” (UIR) features at 3.3, 6.2, 7.7, 8.6, and 11.3 μm which are generally attributed to polycyclic aromatic hydrocarbon (PAH) molecules. The 30 μm feature is commonly observed in all stages of stellar evolution from the asymptotic giant branch through PPN to the planetary nebula phase. We explore the interrelations among the mysterious 21, 30 μm, and UIR features of the 21 μm sources. We derive the fluxes emitted in the observed UIR, 21, and 30 μm features from published Infrared Space Observatory or Spitzer/IRS spectra. We find that none of these spectral features correlate with each other. This argues against a common carrier (e.g., thiourea) for both the 21 μm feature and the 30 μm feature. This also does not support large PAH clusters as a possible carrier for the 21 μm feature.

Spanning Tree Based Attribute Clustering

DEFF Research Database (Denmark)

Zeng, Yifeng; Jorge, Cordero Hernandez

2009-01-01

Attribute clustering has been previously employed to detect statistical dependence between subsets of variables. We propose a novel attribute clustering algorithm motivated by research of complex networks, called the Star Discovery algorithm. The algorithm partitions and indirectly discards...... inconsistent edges from a maximum spanning tree by starting appropriate initial modes, therefore generating stable clusters. It discovers sound clusters through simple graph operations and achieves significant computational savings. We compare the Star Discovery algorithm against earlier attribute clustering...

The moderating role of objective and subjective numeracy in attribute framing.

Science.gov (United States)

Gamliel, Eyal; Kreiner, Hamutal; Garcia-Retamero, Rocio

2016-04-01

Previous research has found that objective numeracy moderates framing effects: People who are less numerate were found to be more susceptible to goal-framing and attribute-framing effects than people who are highly numerate. This study examined the possibility that subjective numeracy likewise moderates attribute framing in contexts where participants are presented with percentages of success or failure. The results show that compared with highly numerate participants, less numerate participants were more susceptible to the effect of attribute framing. Interestingly, this moderating effect was revealed only when using objective numeracy measures, and not when subjective numeracy measures were used. Future research is suggested to replicate these findings, to establish the generalizability of numeracy as a moderator of other cognitive biases, and to examine several possible theoretical explanations for the differential moderation of attribute-framing bias. © 2015 International Union of Psychological Science.

An Attribute-Based Access Control with Efficient and Secure Attribute Revocation for Cloud Data Sharing Service

Institute of Scientific and Technical Information of China (English)

Nyamsuren Vaanchig; Wei Chen; Zhi-Guang Qin

2017-01-01

Nowadays, there is the tendency to outsource data to cloud storage servers for data sharing purposes. In fact, this makes access control for the outsourced data a challenging issue. Ciphertext-policy attribute-based encryption (CP-ABE) is a promising cryptographic solution for this challenge. It gives the data owner (DO) direct control on access policy and enforces the access policy cryptographically. However, the practical application of CP-ABE in the data sharing service also has its own inherent challenge with regard to attribute revocation. To address this challenge, we proposed an attribute-revocable CP-ABE scheme by taking advantages of the over-encryption mechanism and CP-ABE scheme and by considering the semi-trusted cloud service provider (CSP) that participates in decryption processes to issue decryption tokens for authorized users. We further presented the security and performance analysis in order to assess the effectiveness of the scheme. As compared with the existing attribute-revocable CP-ABE schemes, our attribute-revocable scheme is reasonably efficient and more secure to enable attribute-based access control over the outsourced data in the cloud data sharing service.

Classification Influence of Features on Given Emotions and Its Application in Feature Selection

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Xing, Yin; Chen, Chuang; Liu, Li-Long

2018-04-01

In order to solve the problem that there is a large amount of redundant data in high-dimensional speech emotion features, we analyze deeply the extracted speech emotion features and select better features. Firstly, a given emotion is classified by each feature. Secondly, the recognition rate is ranked in descending order. Then, the optimal threshold of features is determined by rate criterion. Finally, the better features are obtained. When applied in Berlin and Chinese emotional data set, the experimental results show that the feature selection method outperforms the other traditional methods.

Evaluation of biological attributes of soil type latossol under agroecological production

Directory of Open Access Journals (Sweden)

Marisol Rivero Herrada

2016-10-01

Full Text Available Biological soil attributes have shown to be good indicators of soil changes as a result of the management function. The aim of this study was to evaluate the effect of using cover crops, as well as planting and tillage systems on the biological attributes of a yellowish red latosol soil. Soil samples were taken at 0 to 0.10 m depth, seven days before the bean harvest. Microbial biomass carbon and nitrogen, basal soil respiration, metabolic ratio and total enzyme activity were evaluated in this study. The best agroecological management was achieved under the association of the ground cover with millet and in direct seeding because they showed higher soil microbial biomass carbon and nitrogen content and lower metabolic quotient, being pork bean the best plant coverage. All biological soil attributes were sensitive to the tillage system, which showed the best results of the total enzyme activity and of the soil metabolic quotient which resulted to be the most efficient.

Attribution Theory and Crisis Intervention Therapy.

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Skilbeck, William M.

It was proposed that existing therapeutic procedures may influence attributions about emotional states. Therefore an attributional analysis of crisis intervention, a model of community-based, short-term consultation, was presented. This analysis suggested that crisis intervention provides attributionally-relevant information about both the source…

Abstract Interpretation and Attribute Gramars

DEFF Research Database (Denmark)

Rosendahl, Mads

The objective of this thesis is to explore the connections between abstract interpretation and attribute grammars as frameworks in program analysis. Abstract interpretation is a semantics-based program analysis method. A large class of data flow analysis problems can be expressed as non-standard ...... is presented in the thesis. Methods from abstract interpretation can also be used in correctness proofs of attribute grammars. This proof technique introduces a new class of attribute grammars based on domain theory. This method is illustrated with examples....

A mock juror investigation of blame attribution in the punishment of hate crime perpetrators.

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Cramer, Robert J; Clark, John W; Kehn, Andre; Burks, Alixandra C; Wechsler, Hayley J

2014-01-01

We examined blame attribution as a moderator of perceptions of hate crimes against gay, African American, and transgender victims. Participants were 510 Texas jury panel members. Results of vignette-based crime scenarios showed that victim blame displayed significant negative, and perpetrator blame significant positive, effects on sentencing recommendations. Also as hypothesized, victim and perpetrator blame moderated the effect of support for hate crime legislation. Interaction patterns suggested that both types of blame attribution influence sentencing recommendations, but only for participants disagreeing with hate crime legislation. Three-way interactions with victim type also emerged, indicating that the effects of both types of blame attribution show particular influences when the victim is gay, as opposed to transgender or African American. Implications for attribution theory, hate crime policy, and jury selection are discussed. Copyright © 2014 Elsevier Ltd. All rights reserved.

Geological events in submerged areas: attributes and standards in the EMODnet Geology Project

Science.gov (United States)

Fiorentino, A.; Battaglini, L.; D'Angelo, S.

2017-12-01

EMODnet Geology is a European Project which promotes the collection and harmonization of marine geological data mapped by various national and regional mapping projects and recovered in the literature, in order to make them freely available through a web portal. Among the several features considered within the Project, "Geological events and probabilities" include submarine landslides, earthquakes, volcanic centers, tsunamis, fluid emissions and Quaternary faults in European Seas. Due to the different geological settings of European sea areas it was necessary to elaborate a comprehensive and detailed pattern of Attributes for the different features in order to represent the diverse characteristics of each occurrence. Datasets consist of shapefiles representing each event at 1:250,000 scale. The elaboration of guidelines to compile the shapefiles and attribute tables was aimed at identifying parameters that should be used to characterize events and any additional relevant information. Particular attention has been devoted to the definition of the Attribute table in order to achieve the best degree of harmonization and standardization according to the European INSPIRE Directive. One of the main objectives is the interoperability of data, in order to offer more complete, error-free and reliable information and to facilitate exchange and re-use of data even between non-homogeneous systems. Metadata and available information collected during the Project is displayed on the Portal (http://www.emodnet-geology.eu/) as polygons, lines and points layers according to their geometry. By combining all these data it might be possible to elaborate additional thematic maps which could support further research as well as land planning and management. A possible application is being experimented by the Geological Survey of Italy - ISPRA which, in cooperation with other Italian institutions contributing to EMODnet Geology, is working at the production of an update for submerged areas

Attribution of trends in global vegetation greenness from 1982 to 2011

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Zhu, Z.; Xu, L.; Bi, J.; Myneni, R.; Knyazikhin, Y.

2012-12-01

Time series of remotely sensed vegetation indices data provide evidence of changes in terrestrial vegetation activity over the past decades in the world. However, it is difficult to attribute cause-and-effect to vegetation trends because variations in vegetation productivity are driven by various factors. This study investigated changes in global vegetation productivity first, and then attributed the global natural vegetation with greening trend. Growing season integrated normalized difference vegetation index (GSI NDVI) derived from the new GIMMS NDVI3g dataset (1982-2011was analyzed. A combined time series analysis model, which was developed from simper linear trend model (SLT), autoregressive integrated moving average model (ARIMA) and Vogelsang's t-PST model shows that productivity of all vegetation types except deciduous broadleaf forest predominantly showed increasing trends through the 30-year period. The evolution of changes in productivity in the last decade was also investigated. Area of greening vegetation monotonically increased through the last decade, and both the browning and no change area monotonically decreased. To attribute the predominant increase trend of productivity of global natural vegetation, trends of eight climate time series datasets (three temperature, three precipitation and two radiation datasets) were analyzed. The attribution of trends in global vegetation greenness was summarized as relaxation of climatic constraints, fertilization and other unknown reasons. Result shows that nearly all the productivity increase of global natural vegetation was driven by relaxation of climatic constraints and fertilization, which play equally important role in driving global vegetation greenness.; Area fraction and productivity change fraction of IGBP vegetation land cover classes showing statistically significant (10% level) trend in GSI NDVIt;

Inferring social attributes from different face regions: evidence for holistic processing.

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Santos, Isabel M; Young, Andrew W

2011-04-01

Two experiments investigated the role that different face regions play in a variety of social judgements that are commonly made from facial appearance (sex, age, distinctiveness, attractiveness, approachability, trustworthiness, and intelligence). These judgements lie along a continuum from those with a clear physical basis and high consequent accuracy (sex, age) to judgements that can achieve a degree of consensus between observers despite having little known validity (intelligence, trustworthiness). Results from Experiment 1 indicated that the face's internal features (eyes, nose, and mouth) provide information that is more useful for social inferences than the external features (hair, face shape, ears, and chin), especially when judging traits such as approachability and trustworthiness. Experiment 2 investigated how judgement agreement was affected when the upper head, eye, nose, or mouth regions were presented in isolation or when these regions were obscured. A different pattern of results emerged for different characteristics, indicating that different types of facial information are used in the various judgements. Moreover, the informativeness of a particular region/feature depends on whether it is presented alone or in the context of the whole face. These findings provide evidence for the importance of holistic processing in making social attributions from facial appearance.

When do letter features migrate? A boundary condition for feature-integration theory.

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Butler, B E; Mewhort, D J; Browse, R A

1991-01-01

Feature-integration theory postulates that a lapse of attention will allow letter features to change position and to recombine as illusory conjunctions (Treisman & Paterson, 1984). To study such errors, we used a set of uppercase letters known to yield illusory conjunctions in each of three tasks. The first, a bar-probe task, showed whole-character mislocations but not errors based on feature migration and recombination. The second, a two-alternative forced-choice detection task, allowed subjects to focus on the presence or absence of subletter features and showed illusory conjunctions based on feature migration and recombination. The third was also a two-alternative forced-choice detection task, but we manipulated the subjects' knowledge of the shape of the stimuli: In the case-certain condition, the stimuli were always in uppercase, but in the case-uncertain condition, the stimuli could appear in either upper- or lowercase. Subjects in the case-certain condition produced illusory conjunctions based on feature recombination, whereas subjects in the case-uncertain condition did not. The results suggest that when subjects can view the stimuli as feature groups, letter features regroup as illusory conjunctions; when subjects encode the stimuli as letters, whole items may be mislocated, but subletter features are not. Thus, illusory conjunctions reflect the subject's processing strategy, rather than the architecture of the visual system.

Bi-variate statistical attribute filtering : A tool for robust detection of faint objects

NARCIS (Netherlands)

Teeninga, Paul; Moschini, Ugo; Trager, Scott C.; Wilkinson, M.H.F.

2013-01-01

We present a new method for morphological connected attribute filtering for object detection in astronomical images. In this approach, a threshold is set on one attribute (power), based on its distribution due to noise, as a function of object area. The results show an order of magnitude higher

Feature displacement interpolation

DEFF Research Database (Denmark)

Nielsen, Mads; Andresen, Per Rønsholt

1998-01-01

Given a sparse set of feature matches, we want to compute an interpolated dense displacement map. The application may be stereo disparity computation, flow computation, or non-rigid medical registration. Also estimation of missing image data, may be phrased in this framework. Since the features...... often are very sparse, the interpolation model becomes crucial. We show that a maximum likelihood estimation based on the covariance properties (Kriging) show properties more expedient than methods such as Gaussian interpolation or Tikhonov regularizations, also including scale......-selection. The computational complexities are identical. We apply the maximum likelihood interpolation to growth analysis of the mandibular bone. Here, the features used are the crest-lines of the object surface....

FEATURE SELECTION METHODS BASED ON MUTUAL INFORMATION FOR CLASSIFYING HETEROGENEOUS FEATURES

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Ratri Enggar Pawening

2016-06-01

Full Text Available Datasets with heterogeneous features can affect feature selection results that are not appropriate because it is difficult to evaluate heterogeneous features concurrently. Feature transformation (FT is another way to handle heterogeneous features subset selection. The results of transformation from non-numerical into numerical features may produce redundancy to the original numerical features. In this paper, we propose a method to select feature subset based on mutual information (MI for classifying heterogeneous features. We use unsupervised feature transformation (UFT methods and joint mutual information maximation (JMIM methods. UFT methods is used to transform non-numerical features into numerical features. JMIM methods is used to select feature subset with a consideration of the class label. The transformed and the original features are combined entirely, then determine features subset by using JMIM methods, and classify them using support vector machine (SVM algorithm. The classification accuracy are measured for any number of selected feature subset and compared between UFT-JMIM methods and Dummy-JMIM methods. The average classification accuracy for all experiments in this study that can be achieved by UFT-JMIM methods is about 84.47% and Dummy-JMIM methods is about 84.24%. This result shows that UFT-JMIM methods can minimize information loss between transformed and original features, and select feature subset to avoid redundant and irrelevant features.

Attributed community mining using joint general non-negative matrix factorization with graph Laplacian

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Chen, Zigang; Li, Lixiang; Peng, Haipeng; Liu, Yuhong; Yang, Yixian

2018-04-01

Community mining for complex social networks with link and attribute information plays an important role according to different application needs. In this paper, based on our proposed general non-negative matrix factorization (GNMF) algorithm without dimension matching constraints in our previous work, we propose the joint GNMF with graph Laplacian (LJGNMF) to implement community mining of complex social networks with link and attribute information according to different application needs. Theoretical derivation result shows that the proposed LJGNMF is fully compatible with previous methods of integrating traditional NMF and symmetric NMF. In addition, experimental results show that the proposed LJGNMF can meet the needs of different community minings by adjusting its parameters, and the effect is better than traditional NMF in the community vertices attributes entropy.

Information networks in the stock market based on the distance of the multi-attribute dimensions between listed companies

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Liu, Qian; Li, Huajiao; Liu, Xueyong; Jiang, Meihui

2018-04-01

In the stock market, there are widespread information connections between economic agents. Listed companies can obtain mutual information about investment decisions from common shareholders, and the extent of sharing information often determines the relationships between listed companies. Because different shareholder compositions and investment shares lead to different formations of the company's governance mechanisms, we map the investment relationships between shareholders to the multi-attribute dimensional spaces of the listed companies (each shareholder investment in a company is a company dimension). Then, we construct the listed company's information network based on co-shareholder relationships. The weights for the edges in the information network are measured with the Euclidean distance between the listed companies in the multi-attribute dimension space. We define two indices to analyze the information network's features. We conduct an empirical study that analyzes Chinese listed companies' information networks. The results from the analysis show that with the diversification and decentralization of shareholder investments, almost all Chinese listed companies exchanged information through common shareholder relationships, and there is a gradual reduction in information sharing capacity between listed companies that have common shareholders. This network analysis has benefits for risk management and portfolio investments.

Neural correlates of depressive realism – An fMRI study on causal attribution in depression

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Seidel, Eva-Maria; Satterthwaite, Theodore D.; Eickhoff, Simon B.; Schneider, Frank; Gur, Ruben C.; Wolf, Daniel H.; Habel, Ute; Derntl, Birgit

2013-01-01

Background Biased causal attribution is a critical factor in the cognitive model of depression. Whereas depressed patients interpret events negatively, healthy people show a self-serving bias (internal attribution of positive events and external attribution of negative events). Methods Using fMRI, depressed patients (n=15) and healthy controls (n=15) were confronted with positive and negative social events and made causal attributions (internal vs. external). Functional data were analyzed using a mixed effects model. Results Behaviourally, controls showed a self-serving bias, whereas patients demonstrated a balanced attributional pattern. Analysis of functional data revealed a significant group difference in a fronto-temporal network. Higher activation of this network was associated with non self-serving attributions in controls but self-serving attributions in patients. Applying a psycho-physiological interaction analysis, we observed reduced coupling between a dorsomedial PFC seed region and limbic areas during self-serving attributions in patients compared to controls. Limitations Results of the PPI analysis are preliminary given the liberal statistical threshold. Conclusions The association of the behaviourally less frequent attributional pattern with activation in a fronto-temporal network suggests that non self-serving responses may produce a self-related response conflict in controls, while self-serving responses produce this conflict in patients. Moreover, attribution-modulated coupling between the dorsomedial PFC and limbic regions was weaker in patients than controls. This preliminary finding suggests that depression may be associated with disturbances in fronto-limbic coupling during attributional decisions. Our results implicate that treatment of major depression may benefit from approaches that facilitate reinterpretation of emotional events in a more positive, more self-serving way. PMID:22377511

Managing dive tourism for the sustainable use of coral reefs: validating diver perceptions of attractive site features.

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Uyarra, Maria C; Watkinson, Andrew R; Côté, Isabelle M

2009-01-01

It has been argued that strategies to manage natural areas important for tourism and recreation should integrate an understanding of tourist preferences for specific natural features. However, the accuracy of tourist recalled perceptions of environmental attributes, which are usually derived from post hoc surveys and used to establish management priorities, is currently unmeasured. We tested the validity of the relationship between tourist-stated preferences and actual condition of coral reefs around the Caribbean island of Bonaire. Using standardized questionnaires, we asked 200 divers to select their most and least favorite dive sites and the attributes that contributed to that selection. We also carried out ecological surveys at 76 of the 81 dives sites around the island to assess the actual conditions of the attributes indicated as important for site selection. Fish- and coral-related attributes were key features affecting dive enjoyment. In general, divers appeared to be able to perceive differences between sites in the true condition of biological attributes such as fish species richness, total number of fish schools, live coral cover, coral species richness, and reef structural complexity, although men and women divers differed in their ability to perceive/recall some of the attributes. Perceived differences in environmental attributes, such as surface conditions, underwater current, and the likelihood of encountering rare fish and sea turtles, were not empirically validated. The fact that divers perceive correctly differences in the condition of some of the key biological attributes that affect dive enjoyment reinforces the need to maintain overall reef condition at satisfactory levels. However, variation in accuracy of perceptions owing to demographic factors and attribute type suggests the need for caution when using public perceptions to develop environmental management strategies, particularly for coral reefs.

Performance Feedback Processing Is Positively Biased As Predicted by Attribution Theory.

Directory of Open Access Journals (Sweden)

Christoph W Korn

Full Text Available A considerable literature on attribution theory has shown that healthy individuals exhibit a positivity bias when inferring the causes of evaluative feedback on their performance. They tend to attribute positive feedback internally (e.g., to their own abilities but negative feedback externally (e.g., to environmental factors. However, all empirical demonstrations of this bias suffer from at least one of the three following drawbacks: First, participants directly judge explicit causes for their performance. Second, participants have to imagine events instead of experiencing them. Third, participants assess their performance only after receiving feedback and thus differences in baseline assessments cannot be excluded. It is therefore unclear whether the classically reported positivity bias generalizes to setups without these drawbacks. Here, we aimed at establishing the relevance of attributions for decision-making by showing an attribution-related positivity bias in a decision-making task. We developed a novel task, which allowed us to test how participants changed their evaluations in response to positive and negative feedback about performance. Specifically, we used videos of actors expressing different facial emotional expressions. Participants were first asked to evaluate the actors' credibility in expressing a particular emotion. After this initial rating, participants performed an emotion recognition task and did--or did not--receive feedback on their veridical performance. Finally, participants re-rated the actors' credibility, which provided a measure of how they changed their evaluations after feedback. Attribution theory predicts that participants change their evaluations of the actors' credibility toward the positive after receiving positive performance feedback and toward the negative after negative performance feedback. Our results were in line with this prediction. A control condition without feedback showed that correct or

Performance Feedback Processing Is Positively Biased As Predicted by Attribution Theory.

Science.gov (United States)

Korn, Christoph W; Rosenblau, Gabriela; Rodriguez Buritica, Julia M; Heekeren, Hauke R

2016-01-01

A considerable literature on attribution theory has shown that healthy individuals exhibit a positivity bias when inferring the causes of evaluative feedback on their performance. They tend to attribute positive feedback internally (e.g., to their own abilities) but negative feedback externally (e.g., to environmental factors). However, all empirical demonstrations of this bias suffer from at least one of the three following drawbacks: First, participants directly judge explicit causes for their performance. Second, participants have to imagine events instead of experiencing them. Third, participants assess their performance only after receiving feedback and thus differences in baseline assessments cannot be excluded. It is therefore unclear whether the classically reported positivity bias generalizes to setups without these drawbacks. Here, we aimed at establishing the relevance of attributions for decision-making by showing an attribution-related positivity bias in a decision-making task. We developed a novel task, which allowed us to test how participants changed their evaluations in response to positive and negative feedback about performance. Specifically, we used videos of actors expressing different facial emotional expressions. Participants were first asked to evaluate the actors' credibility in expressing a particular emotion. After this initial rating, participants performed an emotion recognition task and did--or did not--receive feedback on their veridical performance. Finally, participants re-rated the actors' credibility, which provided a measure of how they changed their evaluations after feedback. Attribution theory predicts that participants change their evaluations of the actors' credibility toward the positive after receiving positive performance feedback and toward the negative after negative performance feedback. Our results were in line with this prediction. A control condition without feedback showed that correct or incorrect performance

Accounting for Attribute-Level Non-Attendance in a Health Choice Experiment: Does it Matter?

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Erdem, Seda; Campbell, Danny; Hole, Arne Risa

2015-07-01

An extensive literature has established that it is common for respondents to ignore attributes of the alternatives within choice experiments. In most of the studies on attribute non-attendance, it is assumed that respondents consciously (or unconsciously) ignore one or more attributes of the alternatives, regardless of their levels. In this paper, we present a new line of enquiry and approach for modelling non-attendance in the context of investigating preferences for health service innovations. This approach recognises that non-attendance may not just be associated with attributes but may also apply to the attribute's levels. Our results show that respondents process each level of an attribute differently: while attending to the attribute, they ignore a subset of the attribute's levels. In such cases, the usual approach of assuming that respondents either attend to the attribute or not, irrespective of its levels, is erroneous and could lead to misguided policy recommendations. Our results indicate that allowing for attribute-level non-attendance leads to substantial improvements in the model fit and has an impact on estimated marginal willingness to pay and choice predictions. Copyright © 2014 John Wiley & Sons, Ltd.

Gender Attributions of Science and Academic Attributes: AN Examination of Undergraduate Science, Mathematics, and Technology Majors

Science.gov (United States)

Hughes, W. Jay

Questionnaire data (n = 297) examined the relationship between gender attributions of science and academic attributes for undergraduate science, mathematics, and technology majors from the perspective of gender schema theory. Female and male respondents perceived that (a) the role of scientist was sex typed as masculine, (b) their majors were more valuable for members of their gender than for those of the opposite gender, (c) their majors were more valuable for themselves than for members of their gender in general. Androgynous attributions of scientists and the value of one's major for women predicted value for oneself, major confidence, and career confidence, and masculine attributions of scientists predicted class participation for female respondents. Feminine attributions of scientists predicted graduate school intent; value for women predicted major confidence and subjective achievement, and value for men predicted value for oneself, course confidence, and career confidence for male respondents.

Group attributional training as an effective approach to human resource development under team work systems.

Science.gov (United States)

Wang, Z M

1994-07-01

An experimental programme of group attributional training under team work system was conducted as part of human resource development in Chinese industrial enterprises. One hundred and ten shopfloor employees participated in the study. Among them, 58 employees took part in the factorial-designed experiment to find out the effects of attributions on performance, and 52 employees of ten work groups participated in the group attributional training programme twice a week for two months. The results showed that the group attributional training was effective in modifying employees' attributional patterns and enhancing group performance and satisfaction. On the basis of the results, an attributional model of work motivation is proposed, and its theoretical and practical implications for human resource management discussed.

A scheme of hidden-structure attribute-based encryption with multiple authorities

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Ling, J.; Weng, A. X.

2018-05-01

In the most of the CP-ABE schemes with hidden access structure, both all the user attributes and the key generation are managed by only one authority. The key generation efficiency will decrease as the number of user increases, and the data will encounter security issues as the only authority is attacked. We proposed a scheme of hidden-structure attribute-based encryption with multiple authorities, which introduces multiple semi-trusted attribute authorities, avoiding the threat even though one or more authorities are attacked. We also realized user revocation by managing a revocation list. Based on DBDH assumption, we proved that our scheme is of IND-CMA security. The analysis shows that our scheme improves the key generation efficiency.

Parental causal attributions and emotions in daily learning situations with the child.

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Enlund, Emmi; Aunola, Kaisa; Tolvanen, Asko; Nurmi, Jari-Erik

2015-08-01

This study investigated the dynamics between the causal attributions parents reported daily for their children's success in learning situations and parental positive emotions. The sample consisted of 159 mothers and 147 fathers of 162 first graders (83 girls, 79 boys; aged from 6 to 7 years, M = 7.5 years, SD = 3.6 months). Parents filled in a structured diary questionnaire concerning their causal attributions and emotions over 7 successive days in the fall semester and again over 7 successive days in the spring semester. Multilevel analyses showed that both parental causal attributions and positive emotions varied more within parents (between days over the week) than between parents. Furthermore, mothers' positive emotions on a certain day predicted their causal attributions on that same day rather than vice versa. The higher the level of positive emotions parents reported in a specific day, the more they used effort and ability as causal attributions for their offspring's success on that same day. (c) 2015 APA, all rights reserved).

The Link between HR Attributions and Employees’ Turnover Intentions

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Juliana Caesaria Tandung

2016-02-01

Full Text Available Human Resources Management (HRM is part of the organizational functions that contribute to the effectiveness of a firm’s performance, and brings an organization a competitive advantage through the implementation of its Human Resources (HR practices. HR practices adopted by management are perceived or attributed subjectively by individual employees, and can in turn affect the employees’ attitudes and behavior (e.g. Job satisfaction and turnover intention. The purpose of this study is to contribute to the process-based approach by investigating the effect of HR attributions on turnover intentions, with job satisfaction playing a mediating role. The analysis is on the individual level, with 454 respondents from various organizations within the Netherlands. The results show that HR attributions can affect the turnover intention, through the presence of job satisfaction. Thus, it can be said that it is important to always consider the employees’ attitudes and behavior when examining their perception of HR practices, and in predicting their intention to leave.

Perfectionism, achievement motives, and attribution of success and failure in female soccer players.

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Stoeber, Joachim; Becker, Claudia

2008-12-01

While some researchers have identified adaptive perfectionism as a key characteristic to achieving elite performance in sport, others see perfectionism as a maladaptive characteristic that undermines, rather than helps, athletic performance. Arguing that perfectionism in sport contains both adaptive and maladaptive facets, the present article presents a study of N = 74 female soccer players investigating how two facets of perfectionism-perfectionistic strivings and negative reactions to imperfection (Stoeber, Otto, Pescheck, Becker, & Stoll, 2007 )-are related to achievement motives and attributions of success and failure. Results show that striving for perfection was related to hope of success and self-serving attributions (internal attribution of success). Moreover, once overlap between the two facets of perfectionism was controlled for, striving for perfection was inversely related to fear of failure and self-depreciating attributions (internal attribution of failure). In contrast, negative reactions to imperfection were positively related to fear of failure and self-depreciating attributions (external attribution of success) and inversely related to self-serving attributions (internal attribution of success and external attribution of failure). It is concluded that striving for perfection in sport is associated with an adaptive pattern of positive motivational orientations and self-serving attributions of success and failure, which may help athletic performance. In contrast, negative reactions to imperfection are associated with a maladaptive pattern of negative motivational orientations and self-depreciating attributions, which is likely to undermine athletic performance. Consequently, perfectionism in sport may be adaptive in those athletes who strive for perfection, but can control their negative reactions when performance is less than perfect.

Maturation of social attribution skills in typically developing children: an investigation using the social attribution task.

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Hu, Zhouyi; Chan, Raymond C K; McAlonan, Grainne M

2010-02-03

The assessment of social attribution skills in children can potentially identify and quantify developmental difficulties related to autism spectrum disorders and related conditions. However, relatively little is known about how these skills develop in typically developing children. Therefore the present study aimed to map the trajectory of social attribution skill acquisition in typically developing children from a young age. In the conventional social attribution task (SAT) participants ascribe feelings to moving shapes and describe their interaction in social terms. However, this format requires that participants understand both, that an inanimate shape is symbolic, and that its action is social in nature. This may be challenging for young children, and may be a potential confounder in studies of children with developmental disorders. Therefore we developed a modified SAT (mSAT) using animate figures (e.g. animals) to simplify the task. We used the SAT and mSAT to examine social attribution skill development in 154 healthy children (76 boys, 78 girls), ranging in age from 6 to 13 years and investigated the relationship between social attribution ability and executive function. The mSAT revealed a steady improvement in social attribution skills from the age of 6 years, and a significant advantage for girls compared to boys. In contrast, children under the age of 9 years performed at baseline on the conventional format and there were no gender differences apparent. Performance on neither task correlated with executive function after controlling for age and verbal IQ, suggesting that social attribution ability is independent of cognitive functioning. The present findings indicate that the mSAT is a sensitive measure of social attribution skills from a young age. This should be carefully considered when choosing assessments for young children and those with developmental disorders.

Maturation of social attribution skills in typically developing children: an investigation using the social attribution task

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Chan Raymond CK

2010-02-01

Full Text Available Abstract Background The assessment of social attribution skills in children can potentially identify and quantify developmental difficulties related to autism spectrum disorders and related conditions. However, relatively little is known about how these skills develop in typically developing children. Therefore the present study aimed to map the trajectory of social attribution skill acquisition in typically developing children from a young age. Methods In the conventional social attribution task (SAT participants ascribe feelings to moving shapes and describe their interaction in social terms. However, this format requires that participants understand both, that an inanimate shape is symbolic, and that its action is social in nature. This may be challenging for young children, and may be a potential confounder in studies of children with developmental disorders. Therefore we developed a modified SAT (mSAT using animate figures (e.g. animals to simplify the task. We used the SAT and mSAT to examine social attribution skill development in 154 healthy children (76 boys, 78 girls, ranging in age from 6 to 13 years and investigated the relationship between social attribution ability and executive function. Results The mSAT revealed a steady improvement in social attribution skills from the age of 6 years, and a significant advantage for girls compared to boys. In contrast, children under the age of 9 years performed at baseline on the conventional format and there were no gender differences apparent. Performance on neither task correlated with executive function after controlling for age and verbal IQ, suggesting that social attribution ability is independent of cognitive functioning. The present findings indicate that the mSAT is a sensitive measure of social attribution skills from a young age. This should be carefully considered when choosing assessments for young children and those with developmental disorders.

Pharmacy patronage: identifying key factors in the decision making process using the determinant attribute approach.

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Franic, Duska M; Haddock, Sarah M; Tucker, Leslie Tootle; Wooten, Nathan

2008-01-01

To use the determinant attribute approach, a research method commonly used in marketing to identify the wants of various consumer groups, to evaluate consumer pharmacy choice when having a prescription order filled in different pharmacy settings. Cross sectional. Community independent, grocery store, community chain, and discount store pharmacies in Georgia between April 2005 and April 2006. Convenience sample of adult pharmacy consumers (n = 175). Survey measuring consumer preferences on 26 attributes encompassing general pharmacy site features (16 items), pharmacist characteristics (5 items), and pharmacy staff characteristics (5 items). 26 potential determinant attributes for pharmacy selection. 175 consumers were surveyed at community independent (n = 81), grocery store (n = 44), community chain (n = 27), or discount store (n = 23) pharmacy settings. The attributes of pharmacists and staff at all four pharmacy settings were shown to affect pharmacy patronage motives, although consumers frequenting non-community independent pharmacies were also motivated by secondary convenience factors, e.g., hours of operation, and prescription coverage. Most consumers do not perceive pharmacies as merely prescription-distribution centers that vary only by convenience. Prescriptions are not just another economic good. Pharmacy personnel influence pharmacy selection; therefore, optimal staff selection and training is likely the greatest asset and most important investment for ensuring pharmacy success.

Identifying core, exciting, and hybrid attributes in fans' assessments of major (World Cup) spectator sports events.

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Gau, Li-Shiue

2013-12-01

This paper adopts a methodology of asymmetrical analyses to investigate the relevant importance of spectator sport attributes in terms of their non-linear associations with the benefits that fans experience while watching sports. Questionnaires tapping 16 attributes (e.g., teamwork, sportsmanship, level of competition) and 16 benefits (e.g., good mood, exciting experience, support for my favorite team) were distributed to a sample of fans at the outdoor broadcast of the 2010 World Cup final game at the National Stadium in Kaohsiung, Taiwan. 427 participants rated the importance and benefit of each attribute experienced from watching the game. Attributes were categorized as core, exciting, or hybrid attributes. The star player was the core attribute; rivalry, popularity, and coach were the exciting attributes; and the other 12 attributes were hybrid. Two-dimensional space analyses showed that attributes "sportsmanship, teamwork, and supporting a team" were both explicitly and implicitly important attributes. The methodology of asymmetrical analyses can help managers prioritize the focus of attributes and allocate resources effectively.

Guilt by Association: The 13 micron Dust Feature in Circumstellar Shells and Related Spectral Features

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Sloan, G. C.; Kraemer, K. E.; Goebel, J. H.; Price, S. D.

A study of spectra from the SWS on ISO of optically thin oxygen-rich dust shells shows that the strength of the 13 micron dust emission feature is correlated with the CO2 bands (13--17 microns) and dust emission features at 19.8 and 28.1 microns. SRb variables tend to show stronger 13 micron features than Mira variables, suggesting that the presence of the 13 micron and related features depends on pulsation mode and mass-loss rate. The absence of any correlation to dust emission features at 16.8 and 32 microns makes spinel an unlikely carrier. The most plausible carrier of the 13 micron feature remains crystalline alumina, and we suggest that the related dust features may be crystalline silicates. When dust forms in regions of low density, it may condense into crystalline grain structures.

Feature Selection with Conjunctions of Decision Stumps and Learning from Microarray Data.

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Shah, M; Marchand, M; Corbeil, J

2012-01-01

One of the objectives of designing feature selection learning algorithms is to obtain classifiers that depend on a small number of attributes and have verifiable future performance guarantees. There are few, if any, approaches that successfully address the two goals simultaneously. To the best of our knowledge, such algorithms that give theoretical bounds on the future performance have not been proposed so far in the context of the classification of gene expression data. In this work, we investigate the premise of learning a conjunction (or disjunction) of decision stumps in Occam's Razor, Sample Compression, and PAC-Bayes learning settings for identifying a small subset of attributes that can be used to perform reliable classification tasks. We apply the proposed approaches for gene identification from DNA microarray data and compare our results to those of the well-known successful approaches proposed for the task. We show that our algorithm not only finds hypotheses with a much smaller number of genes while giving competitive classification accuracy but also having tight risk guarantees on future performance, unlike other approaches. The proposed approaches are general and extensible in terms of both designing novel algorithms and application to other domains.

Parental Health Attributions of Childhood Health and Illness: Development of the Pediatric Cultural Health Attributions Questionnaire (Pedi-CHAQ).

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Vaughn, Lisa M; McLinden, Daniel J; Shellmer, Diana; Baker, Raymond C

2011-01-01

The causes attributed to childhood health and illness across cultures (cultural health attributions) are key factors that are now more frequently identified as affecting the health outcomes of children. Research suggests that the causes attributed to an event such as illness are thought to affect subsequent motivation, emotional response, decision making, and behavior. To date, there is no measure of health attributions appropriate for use with parents of pediatric patients. Using the Many-Facets approach to Rasch analysis, this study assesses the psychometrics of a newly developed instrument, the Pediatric Health Attributions Questionnaire (Pedi-CHAQ), a measure designed to assess the cultural health attributions of parents in diverse communities. Results suggest acceptable Rasch model statistics of fit and reliability for the Pedi-CHAQ. A shortened version of the questionnaire was developed as a result of this study and next steps are discussed.

GOTHIC code evaluation of alternative passive containment cooling features

International Nuclear Information System (INIS)

Gavrilas, M.; Hejzlar, P.; Todreas, N.E.; Driscoll, M.J.

1994-01-01

The GOTHIC code was employed to assess the effectiveness of several original heat rejection features that make it possible to cool large rating containments. The code was first verified and modified for specific containment cooling applications; optimal mesh sizes, computational time steps, and applicable heat transfer correlations were examined. The effect of the break location on circulation patterns that develop inside the containment was also evaluated. GOTHIC was then used to obtain performance predictions for two containment concepts: a 1200 MW e new pressure tube light water reactor, and a 1300 MW e pressurized water reactor. The effectiveness of various containment configurations that include specific pressure-limiting features have been predicted. For the 1200 MW e pressure tube light water reactor, the evaluated pressure-limiting features are: a large water pool connected to the calandria, large containment free volume and an air-convection annulus. For the 1300 MW e pressurized water reactor, an external moat, an internal water pool, and an air-convection annulus were evaluated. The performance of the proposed containment configurations is dependent on the extent of thermal stratification inside the containment. The best-performance configurations/worst-case-accident scenarios that were examined yielded peak pressures of less than 0.30 MPa for the 1200 MW e pressure tube light water reactor, and less than 0.45 MPa for the 1300 MW e pressurized water reactor. The low peak pressure predicted for the 1200 MW e pressure tube light water reactor can be in part attributed to its relatively large free volume, while the relatively high peak pressure predicted for the 1300 MW e pressurized water reactor can be attributed to its relatively small free volume (i.e., the size used was that of a pressurized water reactor containment designed with active heat removal features). (author)

A neuroimaging investigation of attribute framing and individual differences

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Murch, Kevin B.

2014-01-01

Functional magnetic resonance imaging was used to evaluate the neural basis of framing effects. We tested the reflexive and reflective systems model of social cognition as it relates to framing. We also examined the relationships among frame susceptibility, intelligence and personality measures. Participants evaluated whether personal attributes applied to themselves from multiple perspectives and in positive and negative frames. Participants rated whether each statement was descriptive or not and endorsed positive frames more than negative frames. Individual differences on frame decisions enabled us to form high and low frame susceptibility groups. Endorsement of frame-consistent attributes was associated with personality factors, cognitive reflection and intelligence. Reflexive brain regions were associated with positive frames while reflective areas were associated with negative frames. Region of Interest analyses showed that frame-inconsistent responses were associated with increased activation within reflective cognitive control regions including the left dorsolateral prefrontal cortex (PFC), dorsomedial PFC and left ventrolateral PFC. Frame-consistent responses were associated with increased activation in the right orbitofrontal cortex. These results demonstrate that individual differences in frame susceptibility influence personal attribute evaluations. Overall, this study clarifies the neural correlates of the reflective and reflexive systems of social cognition as applied to decisions about social attributions. PMID:23988759

Academic procrastination: the relationship between causal attribution styles and behavioral postponement.

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Badri Gargari, Rahim; Sabouri, Hossein; Norzad, Fatemeh

2011-01-01

This research was conducted to study the relationship between attribution and academic procrastination in University Students. The subjects were 203 undergraduate students, 55 males and 148 females, selected from English and French language and literature students of Tabriz University. Data were gathered through Procrastination Assessment Scale-student (PASS) and Causal Dimension Scale (CDA) and were analyzed by multiple regression analysis (stepwise). The results showed that there was a meaningful and negative relation between the locus of control and controllability in success context and academic procrastination. Besides, a meaningful and positive relation was observed between the locus of control and stability in failure context and procrastination. It was also found that 17% of the variance of procrastination was accounted by linear combination of attributions. We believe that causal attribution is a key in understanding procrastination in academic settings and is used by those who have the knowledge of Causal Attribution styles to organize their learning.

Familial resemblance of borderline personality disorder features: genetic or cultural transmission?

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Marijn A Distel

Full Text Available Borderline personality disorder is a severe personality disorder for which genetic research has been limited to family studies and classical twin studies. These studies indicate that genetic effects explain 35 to 45% of the variance in borderline personality disorder and borderline personality features. However, effects of non-additive (dominance genetic factors, non-random mating and cultural transmission have generally not been explored. In the present study an extended twin-family design was applied to self-report data of twins (N = 5,017 and their siblings (N = 1,266, parents (N = 3,064 and spouses (N = 939 from 4,015 families, to estimate the effects of additive and non-additive genetic and environmental factors, cultural transmission and non-random mating on individual differences in borderline personality features. Results showed that resemblance among biological relatives could completely be attributed to genetic effects. Variation in borderline personality features was explained by additive genetic (21%; 95% CI 17-26% and dominant genetic (24%; 95% CI 17-31% factors. Environmental influences (55%; 95% CI 51-60% explained the remaining variance. Significant resemblance between spouses was observed, which was best explained by phenotypic assortative mating, but it had only a small effect on the genetic variance (1% of the total variance. There was no effect of cultural transmission from parents to offspring.

Feature selection for splice site prediction: A new method using EDA-based feature ranking

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Rouzé Pierre

2004-05-01

Full Text Available Abstract Background The identification of relevant biological features in large and complex datasets is an important step towards gaining insight in the processes underlying the data. Other advantages of feature selection include the ability of the classification system to attain good or even better solutions using a restricted subset of features, and a faster classification. Thus, robust methods for fast feature selection are of key importance in extracting knowledge from complex biological data. Results In this paper we present a novel method for feature subset selection applied to splice site prediction, based on estimation of distribution algorithms, a more general framework of genetic algorithms. From the estimated distribution of the algorithm, a feature ranking is derived. Afterwards this ranking is used to iteratively discard features. We apply this technique to the problem of splice site prediction, and show how it can be used to gain insight into the underlying biological process of splicing. Conclusion We show that this technique proves to be more robust than the traditional use of estimation of distribution algorithms for feature selection: instead of returning a single best subset of features (as they normally do this method provides a dynamical view of the feature selection process, like the traditional sequential wrapper methods. However, the method is faster than the traditional techniques, and scales better to datasets described by a large number of features.

Attributional Style and Depression in Multiple Sclerosis

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Arnett, Peter A.

2013-01-01

Several etiologic theories have been proposed to explain depression in the general population. Studying these models and modifying them for use in the multiple sclerosis (MS) population may allow us to better understand depression in MS. According to the reformulated learned helplessness (LH) theory, individuals who attribute negative events to internal, stable, and global causes are more vulnerable to depression. This study differentiated attributional style that was or was not related to MS in 52 patients with MS to test the LH theory in this population and to determine possible differences between illness-related and non-illness-related attributions. Patients were administered measures of attributional style, daily stressors, disability, and depressive symptoms. Participants were more likely to list non-MS-related than MS-related causes of negative events on the Attributional Style Questionnaire (ASQ), and more-disabled participants listed significantly more MS-related causes than did less-disabled individuals. Non-MS-related attributional style correlated with stress and depressive symptoms, but MS-related attributional style did not correlate with disability or depressive symptoms. Stress mediated the effect of non-MS-related attributional style on depressive symptoms. These results suggest that, although attributional style appears to be an important construct in MS, it does not seem to be related directly to depressive symptoms; rather, it is related to more perceived stress, which in turn is related to increased depressive symptoms. PMID:24453767

Multi-scale Analysis of High Resolution Topography: Feature Extraction and Identification of Landscape Characteristic Scales

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Passalacqua, P.; Sangireddy, H.; Stark, C. P.

2015-12-01

With the advent of digital terrain data, detailed information on terrain characteristics and on scale and location of geomorphic features is available over extended areas. Our ability to observe landscapes and quantify topographic patterns has greatly improved, including the estimation of fluxes of mass and energy across landscapes. Challenges still remain in the analysis of high resolution topography data; the presence of features such as roads, for example, challenges classic methods for feature extraction and large data volumes require computationally efficient extraction and analysis methods. Moreover, opportunities exist to define new robust metrics of landscape characterization for landscape comparison and model validation. In this presentation we cover recent research in multi-scale and objective analysis of high resolution topography data. We show how the analysis of the probability density function of topographic attributes such as slope, curvature, and topographic index contains useful information for feature localization and extraction. The analysis of how the distributions change across scales, quantified by the behavior of modal values and interquartile range, allows the identification of landscape characteristic scales, such as terrain roughness. The methods are introduced on synthetic signals in one and two dimensions and then applied to a variety of landscapes of different characteristics. Validation of the methods includes the analysis of modeled landscapes where the noise distribution is known and features of interest easily measured.

Feature-Based Retinal Image Registration Using D-Saddle Feature

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Roziana Ramli

2017-01-01

Full Text Available Retinal image registration is important to assist diagnosis and monitor retinal diseases, such as diabetic retinopathy and glaucoma. However, registering retinal images for various registration applications requires the detection and distribution of feature points on the low-quality region that consists of vessels of varying contrast and sizes. A recent feature detector known as Saddle detects feature points on vessels that are poorly distributed and densely positioned on strong contrast vessels. Therefore, we propose a multiresolution difference of Gaussian pyramid with Saddle detector (D-Saddle to detect feature points on the low-quality region that consists of vessels with varying contrast and sizes. D-Saddle is tested on Fundus Image Registration (FIRE Dataset that consists of 134 retinal image pairs. Experimental results show that D-Saddle successfully registered 43% of retinal image pairs with average registration accuracy of 2.329 pixels while a lower success rate is observed in other four state-of-the-art retinal image registration methods GDB-ICP (28%, Harris-PIIFD (4%, H-M (16%, and Saddle (16%. Furthermore, the registration accuracy of D-Saddle has the weakest correlation (Spearman with the intensity uniformity metric among all methods. Finally, the paired t-test shows that D-Saddle significantly improved the overall registration accuracy of the original Saddle.

Attribute-Based Digital Signature System

NARCIS (Netherlands)

Ibraimi, L.; Asim, Muhammad; Petkovic, M.

2011-01-01

An attribute-based digital signature system comprises a signature generation unit (1) for signing a message (m) by generating a signature (s) based on a user secret key (SK) associated with a set of user attributes, wherein the signature generation unit (1) is arranged for combining the user secret

Impact of service attributes on customer satisfaction and loyalty in a healthcare context.

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Lonial, Subash; Raju, P S

2015-01-01

The purpose of this paper is to examine the role of perceived service attributes in the development of overall customer satisfaction (OCS) and customer loyalty (CL) in a health-care setting. This paper also sheds light on the role of hospitalist physicians (HPs) and offers suggestions to improve patient satisfaction and loyalty. A telephone survey was used to collect data from recently hospitalized patients with respect to their HP. Structural equations modeling (SEM) was used to confirm the overall relationships between perceived service quality (PSQ), OCS and CL. The sample was then divided into customer relationship groups (CRGs) based on satisfaction and loyalty measures. Discriminant analysis was used to determine which attributes differentiated most between high and low satisfaction and loyalty groups. Overall relationships among PSQ, OCS and CL were in conformity with the conceptual model. Findings also revealed that service attributes played an important role in distinguishing between high and low satisfaction and loyalty groups, although some attributes were more important than others and different attributes emerged as being key influencers for satisfaction and loyalty. The conceptual model used is a fairly straight forward model, and we have not considered the impact of individual factors such as expectations and value perceptions or involvement levels and demographic characteristics on service quality and overall satisfaction. The data for this study were provided by a major health maintenance organization (HMO), and there is room for improvement in the manner in which certain constructs were measured. For example, OCS, recommendation and retention all used single item measures, and it might have been preferable to use multiple item measures for these constructs. The study shows that organizations can benefit by identifying and focusing on critical attributes as part of their customer relationship management program. The SEM results provide strong

Causal Attributions for Failure and the Effect of Gender among Moroccan EFL University Learners

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Zohri, Abdelaziz

2011-01-01

This paper reports a study that sought to investigate Moroccan university learners' perceptions of failure. 333 subjects studying English at university ranked their perceptions of failure in a Causal Attribution Scale of University Failure (CASUF). The results show that Moroccan learners attribute their failure to teachers' attitude, effort,…

[Disability attributable to excess weight in Spain].

Science.gov (United States)

Martín-Ramiro, José Javier; Alvarez-Martín, Elena; Gil-Prieto, Ruth

2014-08-19

To estimate the disability attributable to higher than optimal body mass index in the Spanish population in 2006. Excess body weight prevalence data were obtained from the 2006 National Health Survey (NHS), while the prevalence of associated morbidities was extracted from the 2006 NHS and from a national hospital data base. Population attributable fractions were applied and disability attributable was expressed as years life with disability (YLD). In 2006, in the Spanish population aged 35-79 years, 791.650 YLD were lost due to higher than optimal body mass index (46.7% in males and 53.3% in females). Overweight (body mass index 25-29.9) accounted for 45.7% of total YLD. Males YLD were higher than females under 60. The 35-39 quinquennial group showed a difference for males of 16.6% while in the 74-79 group the difference was 23.8% for women. Osteoarthritis and chronic back pain accounted for 60% of YLD while hypertensive disease and type 2 diabetes mellitus were responsible of 37%. Excess body weight is a health risk related to the development of various diseases with an important associated disability burden and social and economical cost. YLD analysis is a useful monitor tool for disease control interventions. Copyright © 2013 Elsevier España, S.L. All rights reserved.

Organizational Attributes, Market Growth, and Product Innovation

NARCIS (Netherlands)

Song, Michael; Chen, Yan

2014-01-01

Extensive research has shown that organizational attributes affect product innovation. Extending this literature, this article delimits two general categories of organizational attributes and relates them to product innovation. Organizational attributes can be either control oriented or flexibility

Modality prediction of biomedical literature images using multimodal feature representation

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Pelka, Obioma

2016-08-01

Full Text Available This paper presents the modelling approaches performed to automatically predict the modality of images found in biomedical literature. Various state-of-the-art visual features such as Bag-of-Keypoints computed with dense SIFT descriptors, texture features and Joint Composite Descriptors were used for visual image representation. Text representation was obtained by vector quantisation on a Bag-of-Words dictionary generated using attribute importance derived from a χ-test. Computing the principal components separately on each feature, dimension reduction as well as computational load reduction was achieved. Various multiple feature fusions were adopted to supplement visual image information with corresponding text information. The improvement obtained when using multimodal features vs. visual or text features was detected, analysed and evaluated. Random Forest models with 100 to 500 deep trees grown by resampling, a multi class linear kernel SVM with C=0.05 and a late fusion of the two classifiers were used for modality prediction. A Random Forest classifier achieved a higher accuracy and computed Bag-of-Keypoints with dense SIFT descriptors proved to be a better approach than with Lowe SIFT.

EEG Eye State Identification Using Incremental Attribute Learning with Time-Series Classification

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Ting Wang

2014-01-01

Full Text Available Eye state identification is a kind of common time-series classification problem which is also a hot spot in recent research. Electroencephalography (EEG is widely used in eye state classification to detect human's cognition state. Previous research has validated the feasibility of machine learning and statistical approaches for EEG eye state classification. This paper aims to propose a novel approach for EEG eye state identification using incremental attribute learning (IAL based on neural networks. IAL is a novel machine learning strategy which gradually imports and trains features one by one. Previous studies have verified that such an approach is applicable for solving a number of pattern recognition problems. However, in these previous works, little research on IAL focused on its application to time-series problems. Therefore, it is still unknown whether IAL can be employed to cope with time-series problems like EEG eye state classification. Experimental results in this study demonstrates that, with proper feature extraction and feature ordering, IAL can not only efficiently cope with time-series classification problems, but also exhibit better classification performance in terms of classification error rates in comparison with conventional and some other approaches.

Enriching the national map database for multi-scale use: Introducing the visibilityfilter attribution

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Stauffer, Andrew J.; Webinger, Seth; Roche, Brittany

2016-01-01

The US Geological Survey’s (USGS) National Geospatial Technical Operations Center is prototyping and evaluating the ability to filter data through a range of scales using 1:24,000-scale The National Map (TNM) datasets as the source. A “VisibilityFilter” attribute is under evaluation that can be added to all TNM vector data themes and will permit filtering of data to eight target scales between 1:24,000 and 1:5,000,000, thus defining each feature’s smallest applicable scale-of-use. For a prototype implementation, map specifications for 1:100,000- and 1:250,000-scale USGS Topographic Map Series are being utilized to define feature content appropriate at fixed mapping scales to guide generalization decisions that are documented in a ScaleMaster diagram. This paper defines the VisibilityFilter attribute, the generalization decisions made for each TNM data theme, and how these decisions are embedded into the data to support efficient data filtering.

Asymmetry features for classification of thermograms in breast cancer detection

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Nowak, Robert M.; Okuniewski, Rafał; Oleszkiewicz, Witold; Cichosz, Paweł; Jagodziński, Dariusz; Matysiewicz, Mateusz; Neumann, Łukasz

2016-09-01

The computer system for an automatic interpretation of thermographic pictures created by the Br-aster devices uses image processing and machine learning algorithms. The huge set of attributes analyzed by this software includes the asymmetry measurements between corresponding images, and these features are analyzed in presented paper. The system was tested on real data and achieves accuracy comparable to other popular techniques used for breast tumour detection.

False Belief Attribution in Children with Williams Syndrome: The Answer Is in The Emotion

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Campos, R.; Martínez-Castilla, P.; Sotillo, M.

2017-01-01

Background: Individuals with Williams syndrome (WS) show difficulties in attributing false beliefs, whereas they are better at attributing emotions. This study examines whether being asked about the emotion linked to a false belief, instead of explicitly about the belief, facilitates performance on theory of mind (ToM) tasks. Method: Thirty…

Efficient algorithms for finding optimal binary features in numeric and nominal labeled data

NARCIS (Netherlands)

Mampaey, Michael; Nijssen, Siegfried; Feelders, Adrianus; Konijn, Rob; Knobbe, Arno

2013-01-01

An important subproblem in supervised tasks such as decision tree induction and subgroup discovery is finding an interesting binary feature (such as a node split or a subgroup refinement) based on a numeric or nominal attribute, with respect to some discrete or continuous target variable. Often one

Is the attribution of cultural differences to minorities an expression of racial prejudice?

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Vala, Jorge; Pereira, Cícero; Costa-Lopes, Rui

2009-02-01

The social psychological literature considers two main perspectives on the study of perceived cultural differences between majorities and minorities: one proposes that perception of cultural differences is an antecedent of prejudice and another states that the attribution of cultural differences to minorities is already a hidden expression of racial prejudice. This paper offers further support to this latter perspective. One hundred and ninety-four participants answered a questionnaire measuring (1) general racist belief; (2) cultural differences attributed to Black people (hetero-ethnicization); (3) the asymmetric attribution of secondary and primary emotions to the in-group and to Black people (infra-humanization); (4) the asymmetric attribution of natural and cultural traits to in-group members and to Black people (ontologization); and (5) negative evaluation of this social category. The general racist belief scale was not anchored in a specific group and measured the belief in the inferiority of certain social groups or peoples based on biological or cultural factors. Relationships between the scales were analysed through a set of Structural Equation Models. According to the predictions, results showed that the attribution of cultural differences is a dimension of prejudice. Results also showed that attribution of cultural differences, negative evaluation of Black people, ontologization, and infra-humanization were different dimensions of a common latent factor that can be identified as racial prejudice; and that prejudice was predicted by general racist belief. Results are discussed in the light of the study of the impact of perceived cultural differences on intergroup relations and in the light of the "new racism" approaches.

The influence of causal attribution of parents on developing the child enuresis

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Jerković Ivan

2003-01-01

Full Text Available Causal attributions are affirmed as a cognitive element able to explain emotional and motivational aspects of behaviour of some categories of adult psychiatric patients, primarily depressive ones. Theoretical and practical success of cognitive ideas in explaining the origination of depressive disorders, and in the monitoring of depressive patient treatment has led to further development of theory, but also to the attempt to apply the learning about causal attributions to various problems. Characteristic attempts are those that the problems of child abuse, children’s depression, upbringing problems, school failure, hyperactivity, enuresis, and long-term effects of different child treatment, too, are analysed from the point of view of causal attributions. By assessing parent causal attributions regarding child night urination, we wanted to establish to what extent specific attributions for child behaviour differentiate the parents of children having this problem from those parents whose children have established control. Parents were assessed in terms of four dimensions of causal attributions for child’s problem. Those are the dimensions of globality, counter-lability, internality, and the stability of the cause of child’s problem. The analysis of parent causal attributions show that mothers and fathers in both assessed groups similarly experience the cause of enuretic problems of their children. Enuresis is seen as caused by specific, internal, and instable causes. Such a system of dimensions could correspond to the belief that the main etiological factor of the enuresis is maturing. For more reliable verification of this attitude, longitudinal strategy in research is necessary, especially to comprehend whether parental attributions have been developed as an effect of persistent enuresis, or whether the enuresis is developed as an effect of parental attributions.

Social cognition and the manic defense: attributions, selective attention, and self-schema in bipolar affective disorder.

Science.gov (United States)

Lyon, H M; Startup, M; Bentall, R P

1999-05-01

Manic patients, depressed bipolar patients, and normal controls were compared on measures of social cognition. Manic patients showed a normal self-serving bias on the Attributional Style Questionnaire, but depressed patients attributed negative events more than positive events to self. On an implicit test of attributional style, both patient groups attributed negative events more than positive events to self. Both patient groups showed slowed color naming for depression-related but not euphoria-related words. Manic patients, like normal controls, endorsed mainly positive words as true of self but, like the depressed patients, recalled mainly negative words. Findings from the implicit tests indicate a common form of psychological organization in manic and depressed patients, whereas the contrasts between the scores on the implicit and explicit measures are consistent with the hypothesis of a manic defense.

Attributes and descriptors for building performance evaluation

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S. Gopikrishnan

2017-12-01

In order to obtain the right feedback in levels of satisfaction with respect to these attributes, there is a need to have appropriate descriptors for incorporation in a survey instrument. This paper identifies attributes that indicate building performance and provides simple description of these attributes based on which items can be generated for a questionnaire. Such items can enable any user/occupant to easily understand the characteristics of these attributes and offer an objective feedback during questionnaire survey.

Surface and morphological features of laser-irradiated silicon under vacuum, nitrogen and ethanol

Energy Technology Data Exchange (ETDEWEB)

Hayat, Asma, E-mail: asmahayat@gcu.edu.pk; Bashir, Shazia; Akram, Mahreen; Mahmood, Khaliq; Iqbal, Muhammad Hassan

2015-12-01

Highlights: • Laser irradiation effects on Si surface have been explored. • An Excimer Laser was used as a source. • SEM analysis was performed to explore surface morphology. • Raman spectroscopy analysis was carried out to find crystallographical alterations. - Abstract: Laser-induced surface and structural modification of silicon (Si) has been investigated under three different environments of vacuum, nitrogen (100 Torr) and ethanol. The interaction of 1000 pulses of KrF (λ ≈ 248 nm, τ ≈ 18 ns, repetition rate ≈ 30 Hz) Excimer laser at two different fluences of 2.8 J/cm{sup 2} and 4 J/cm{sup 2} resulted in formation of various kinds of features such as laser induced periodic surface structures (LIPSS), spikes, columns, cones and cracks. Surface morphology has been observed by Scanning Electron Microscope (SEM). Whereas, structural modification of irradiated targets is explored by Raman spectroscopy. SEM analysis exhibits a non-uniform distribution of micro-scale pillars and spikes at the central ablated regime of silicon irradiated at low laser fluence of 2.8 J/cm{sup 2} under vacuum. Whereas cones, pits, cavities and ripples like features are seen at the boundaries. At higher fluence of 4 J/cm{sup 2}, laser induced periodic structures as well as micro-columns are observed. In the case of ablation in nitrogen environment, melting, splashing, self-organized granular structures and cracks along with redeposition are observed at lower fluence. Such types of small scaled structures in nitrogen are attributed to confinement and shielding effects of nitrogen plasma. Whereas, a crater with multiple ablative layers is formed in the case of ablation at higher fluence. Significantly different surface morphology of Si is observed in the case of ablation in ethanol. It reveals the formation of cavities along with small scale pores and less redeposition. These results reveal that the growth of surface and morphological features of irradiated Si are strongly

Surface and morphological features of laser-irradiated silicon under vacuum, nitrogen and ethanol

International Nuclear Information System (INIS)

Hayat, Asma; Bashir, Shazia; Akram, Mahreen; Mahmood, Khaliq; Iqbal, Muhammad Hassan

2015-01-01

Highlights: • Laser irradiation effects on Si surface have been explored. • An Excimer Laser was used as a source. • SEM analysis was performed to explore surface morphology. • Raman spectroscopy analysis was carried out to find crystallographical alterations. - Abstract: Laser-induced surface and structural modification of silicon (Si) has been investigated under three different environments of vacuum, nitrogen (100 Torr) and ethanol. The interaction of 1000 pulses of KrF (λ ≈ 248 nm, τ ≈ 18 ns, repetition rate ≈ 30 Hz) Excimer laser at two different fluences of 2.8 J/cm 2 and 4 J/cm 2 resulted in formation of various kinds of features such as laser induced periodic surface structures (LIPSS), spikes, columns, cones and cracks. Surface morphology has been observed by Scanning Electron Microscope (SEM). Whereas, structural modification of irradiated targets is explored by Raman spectroscopy. SEM analysis exhibits a non-uniform distribution of micro-scale pillars and spikes at the central ablated regime of silicon irradiated at low laser fluence of 2.8 J/cm 2 under vacuum. Whereas cones, pits, cavities and ripples like features are seen at the boundaries. At higher fluence of 4 J/cm 2 , laser induced periodic structures as well as micro-columns are observed. In the case of ablation in nitrogen environment, melting, splashing, self-organized granular structures and cracks along with redeposition are observed at lower fluence. Such types of small scaled structures in nitrogen are attributed to confinement and shielding effects of nitrogen plasma. Whereas, a crater with multiple ablative layers is formed in the case of ablation at higher fluence. Significantly different surface morphology of Si is observed in the case of ablation in ethanol. It reveals the formation of cavities along with small scale pores and less redeposition. These results reveal that the growth of surface and morphological features of irradiated Si are strongly dependent upon the

Situation and person attributions under spontaneous and intentional instructions: an fMRI study.

Science.gov (United States)

Kestemont, Jenny; Vandekerckhove, Marie; Ma, Ning; Van Hoeck, Nicole; Van Overwalle, Frank

2013-06-01

This functional magnetic resonance imaging (fMRI) research explores how observers make causal beliefs about an event in terms of the person or situation. Thirty-four participants read various short descriptions of social events that implied either the person or the situation as the cause. Half of them were explicitly instructed to judge whether the event was caused by something about the person or the situation (intentional inferences), whereas the other half was instructed simply to read the material carefully (spontaneous inferences). The results showed common activation in areas related to mentalizing, across all types of causes or instructions (posterior superior temporal sulcus, temporo-parietal junction, precuneus). However, the medial prefrontal cortex was activated only under spontaneous instructions, but not under intentional instruction. This suggests a bias toward person attributions (e.g. fundamental attribution bias). Complementary to this, intentional situation attributions activated a stronger and more extended network compared to intentional person attributions, suggesting that situation attributions require more controlled, extended and broader processing of the information.

A neuroimaging investigation of attribute framing and individual differences.

Science.gov (United States)

Murch, Kevin B; Krawczyk, Daniel C

2014-10-01

Functional magnetic resonance imaging was used to evaluate the neural basis of framing effects. We tested the reflexive and reflective systems model of social cognition as it relates to framing. We also examined the relationships among frame susceptibility, intelligence and personality measures. Participants evaluated whether personal attributes applied to themselves from multiple perspectives and in positive and negative frames. Participants rated whether each statement was descriptive or not and endorsed positive frames more than negative frames. Individual differences on frame decisions enabled us to form high and low frame susceptibility groups. Endorsement of frame-consistent attributes was associated with personality factors, cognitive reflection and intelligence. Reflexive brain regions were associated with positive frames while reflective areas were associated with negative frames. Region of Interest analyses showed that frame-inconsistent responses were associated with increased activation within reflective cognitive control regions including the left dorsolateral prefrontal cortex (PFC), dorsomedial PFC and left ventrolateral PFC. Frame-consistent responses were associated with increased activation in the right orbitofrontal cortex. These results demonstrate that individual differences in frame susceptibility influence personal attribute evaluations. Overall, this study clarifies the neural correlates of the reflective and reflexive systems of social cognition as applied to decisions about social attributions. © The Author (2013). Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

Real-time product attribute control to manufacture antibodies with defined N-linked glycan levels.

Science.gov (United States)

Zupke, Craig; Brady, Lowell J; Slade, Peter G; Clark, Philip; Caspary, R Guy; Livingston, Brittney; Taylor, Lisa; Bigham, Kyle; Morris, Arvia E; Bailey, Robert W

2015-01-01

Pressures for cost-effective new therapies and an increased emphasis on emerging markets require technological advancements and a flexible future manufacturing network for the production of biologic medicines. The safety and efficacy of a product is crucial, and consistent product quality is an essential feature of any therapeutic manufacturing process. The active control of product quality in a typical biologic process is challenging because of measurement lags and nonlinearities present in the system. The current study uses nonlinear model predictive control to maintain a critical product quality attribute at a predetermined value during pilot scale manufacturing operations. This approach to product quality control ensures a more consistent product for patients, enables greater manufacturing efficiency, and eliminates the need for extensive process characterization by providing direct measures of critical product quality attributes for real time release of drug product. © 2015 American Institute of Chemical Engineers.

SOA: A Quality Attribute Perspective

Science.gov (United States)

2011-06-23

in software engineering from CMU. 6June 2011 Twitter #seiwebinar © 2011 Carnegie Mellon University Agenda Service -Oriented Architecture and... Software Architecture: Review Service -Orientation and Quality Attributes Summary and Future Challenges 7June 2011 Twitter #seiwebinar © 2011...Architecture and Software Architecture: Review Service -Orientation and Quality Attributes Summary and Future Challenges Review 10June 2011 Twitter

Ambient assisted living healthcare frameworks, platforms, standards, and quality attributes.

Science.gov (United States)

Memon, Mukhtiar; Wagner, Stefan Rahr; Pedersen, Christian Fischer; Beevi, Femina Hassan Aysha; Hansen, Finn Overgaard

2014-03-04

Ambient Assisted Living (AAL) is an emerging multi-disciplinary field aiming at exploiting information and communication technologies in personal healthcare and telehealth systems for countering the effects of growing elderly population. AAL systems are developed for personalized, adaptive, and anticipatory requirements, necessitating high quality-of-service to achieve interoperability, usability, security, and accuracy. The aim of this paper is to provide a comprehensive review of the AAL field with a focus on healthcare frameworks, platforms, standards, and quality attributes. To achieve this, we conducted a literature survey of state-of-the-art AAL frameworks, systems and platforms to identify the essential aspects of AAL systems and investigate the critical issues from the design, technology, quality-of-service, and user experience perspectives. In addition, we conducted an email-based survey for collecting usage data and current status of contemporary AAL systems. We found that most AAL systems are confined to a limited set of features ignoring many of the essential AAL system aspects. Standards and technologies are used in a limited and isolated manner, while quality attributes are often addressed insufficiently. In conclusion, we found that more inter-organizational collaboration, user-centered studies, increased standardization efforts, and a focus on open systems is needed to achieve more interoperable and synergetic AAL solutions.

Ambient Assisted Living Healthcare Frameworks, Platforms, Standards, and Quality Attributes

Directory of Open Access Journals (Sweden)

Mukhtiar Memon

2014-03-01

Full Text Available Ambient Assisted Living (AAL is an emerging multi-disciplinary field aiming at exploiting information and communication technologies in personal healthcare and telehealth systems for countering the effects of growing elderly population. AAL systems are developed for personalized, adaptive, and anticipatory requirements, necessitating high quality-of-service to achieve interoperability, usability, security, and accuracy. The aim of this paper is to provide a comprehensive review of the AAL field with a focus on healthcare frameworks, platforms, standards, and quality attributes. To achieve this, we conducted a literature survey of state-of-the-art AAL frameworks, systems and platforms to identify the essential aspects of AAL systems and investigate the critical issues from the design, technology, quality-of-service, and user experience perspectives. In addition, we conducted an email-based survey for collecting usage data and current status of contemporary AAL systems. We found that most AAL systems are confined to a limited set of features ignoring many of the essential AAL system aspects. Standards and technologies are used in a limited and isolated manner, while quality attributes are often addressed insufficiently. In conclusion, we found that more inter-organizational collaboration, user-centered studies, increased standardization efforts, and a focus on open systems is needed to achieve more interoperable and synergetic AAL solutions.

Blogs, Twitter Feeds, and Reddit Comments: Cross-domain Authorship Attribution

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Overdorf Rebekah

2016-07-01

Full Text Available Stylometry is a form of authorship attribution that relies on the linguistic information to attribute documents of unknown authorship based on the writing styles of a suspect set of authors. This paper focuses on the cross-domain subproblem where the known and suspect documents differ in the setting in which they were created. Three distinct domains, Twitter feeds, blog entries, and Reddit comments, are explored in this work. We determine that state-of-the-art methods in stylometry do not perform as well in cross-domain situations (34.3% accuracy as they do in in-domain situations (83.5% accuracy and propose methods that improve performance in the cross-domain setting with both feature and classification level techniques which can increase accuracy to up to 70%. In addition to testing these approaches on a large real world dataset, we also examine real world adversarial cases where an author is actively attempting to hide their identity. Being able to identify authors across domains facilitates linking identities across the Internet making this a key security and privacy concern; users can take other measures to ensure their anonymity, but due to their unique writing style, they may not be as anonymous as they believe.

Particulate matter effect on biometric and biochemical attributes of fruiting plants

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U. Younis

2015-04-01

Full Text Available Dust accumulation capacity of Ficus carica L. and Psidium guajava L. was investigated from eight different sites of Multan, Pakistan.  Leaves of both plants were used for analyzing biometric (leaf area, fresh and dry weights and biochemical attributes (chlorophyll contents, carotenoids and ascorbic acid.  Maximum dust accumulation was occurred in the plants growing near road sites, while, minimum dust accumulation occurred in the plants of Bahauddin Zakariya University.  Most of the biometric and biochemical attributes of F. carica showed significant response towards dust but it had not significant influence on some attributes of P. guajava.  Biochemical traits of P. guajava appeared to be more prone than foliage ones. A positive correlation was foundbetween dust accumulation and foliage attributes in F. carica. On the other hand,in P. guajava opposite was observed, however, the reverse was true for leaf biomass.Biochemical contents had shown an inconsistency as chlorophylls (a, b & total, carotenoid contents declined but ascorbic acid increased with an increase in dust accumulation in both species.

Neural representations of emotion are organized around abstract event features.

Science.gov (United States)

Skerry, Amy E; Saxe, Rebecca

2015-08-03

Research on emotion attribution has tended to focus on the perception of overt expressions of at most five or six basic emotions. However, our ability to identify others' emotional states is not limited to perception of these canonical expressions. Instead, we make fine-grained inferences about what others feel based on the situations they encounter, relying on knowledge of the eliciting conditions for different emotions. In the present research, we provide convergent behavioral and neural evidence concerning the representations underlying these concepts. First, we find that patterns of activity in mentalizing regions contain information about subtle emotional distinctions conveyed through verbal descriptions of eliciting situations. Second, we identify a space of abstract situation features that well captures the emotion discriminations subjects make behaviorally and show that this feature space outperforms competing models in capturing the similarity space of neural patterns in these regions. Together, the data suggest that our knowledge of others' emotions is abstract and high dimensional, that brain regions selective for mental state reasoning support relatively subtle distinctions between emotion concepts, and that the neural representations in these regions are not reducible to more primitive affective dimensions such as valence and arousal. Copyright © 2015 Elsevier Ltd. All rights reserved.

Gender Differences in Figural Matrices: The Moderating Role of Item Design Features

Science.gov (United States)

Arendasy, Martin E.; Sommer, Markus

2012-01-01

There is a heated debate on whether observed gender differences in some figural matrices in adults can be attributed to gender differences in inductive reasoning/G[subscript f] or differential item functioning and/or test bias. Based on previous studies we hypothesized that three specific item design features moderate the effect size of the gender…

A distributed query execution engine of big attributed graphs.

Science.gov (United States)

Batarfi, Omar; Elshawi, Radwa; Fayoumi, Ayman; Barnawi, Ahmed; Sakr, Sherif

2016-01-01

A graph is a popular data model that has become pervasively used for modeling structural relationships between objects. In practice, in many real-world graphs, the graph vertices and edges need to be associated with descriptive attributes. Such type of graphs are referred to as attributed graphs. G-SPARQL has been proposed as an expressive language, with a centralized execution engine, for querying attributed graphs. G-SPARQL supports various types of graph querying operations including reachability, pattern matching and shortest path where any G-SPARQL query may include value-based predicates on the descriptive information (attributes) of the graph edges/vertices in addition to the structural predicates. In general, a main limitation of centralized systems is that their vertical scalability is always restricted by the physical limits of computer systems. This article describes the design, implementation in addition to the performance evaluation of DG-SPARQL, a distributed, hybrid and adaptive parallel execution engine of G-SPARQL queries. In this engine, the topology of the graph is distributed over the main memory of the underlying nodes while the graph data are maintained in a relational store which is replicated on the disk of each of the underlying nodes. DG-SPARQL evaluates parts of the query plan via SQL queries which are pushed to the underlying relational stores while other parts of the query plan, as necessary, are evaluated via indexless memory-based graph traversal algorithms. Our experimental evaluation shows the efficiency and the scalability of DG-SPARQL on querying massive attributed graph datasets in addition to its ability to outperform the performance of Apache Giraph, a popular distributed graph processing system, by orders of magnitudes.

Academic Self-Concept and Causal Attributions for Success and Failure Amongst Elementary School Children

Science.gov (United States)

Lohbeck, Annette; Grube, Dietmar; Moschner, Barbara

2017-01-01

A great deal of research shows that the way in which children attribute causes to their successes and failures in school has implications for the development of their academic self-concept (ASC). The most common attributions are ability, effort, task difficulty, and luck. The present study asked 68 elementary school children aged seven to eight…

Multiple-Robot Systems for USAR: Key Design Attributes and Deployment Issues

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Choon Yue Wong

2011-03-01

Full Text Available The interaction between humans and robots is undergoing an evolution. Progress in this evolution means that humans are close to robustly deploying multiple robots. Urban search and rescue (USAR can benefit greatly from such capability. The review shows that with state of the art artificial intelligence, robots can work autonomously but still require human supervision. It also shows that multiple robot deployment (MRD is more economical, shortens mission durations, adds reliability as well as addresses missions impossible with one robot and payload constraints. By combining robot autonomy and human supervision, the benefits of MRD can be applied to USAR while at the same time minimizing human exposure to danger. This is achieved with a single-human multiple-robot system (SHMRS. However, designers of the SHMRS must consider key attributes such as the size, composition and organizational structure of the robot collective. Variations in these attributes also induce fluctuations in issues within SHMRS deployment such as robot communication and computational load as well as human cognitive workload and situation awareness (SA. Research is essential to determine how the attributes can be manipulated to mitigate these issues while meeting the requirements of the USAR mission.

Multiple-Robot Systems for USAR: Key Design Attributes and Deployment Issues

Directory of Open Access Journals (Sweden)

Choon Yue Wong

2011-03-01

Full Text Available The interaction between humans and robots is undergoing an evolution. Progress in this evolution means that humans are close to robustly deploying multiple robots. Urban search and rescue (USAR can benefit greatly from such capability. The review shows that with state of the art artificial intelligence, robots can work autonomously but still require human supervision. It also shows that multiple robot deployment (MRD is more economical, shortens mission durations, adds reliability as well as addresses missions impossible with one robot and payload constraints. By combining robot autonomy and human supervision, the benefits of MRD can be applied to USAR while at the same time minimizing human exposure to danger. This is achieved with a single-human multiple-robot system (SHMRS. However, designers of the SHMRS must consider key attributes such as the size, composition and organizational structure of the robot collective. Variations in these attributes also induce fluctuations in issues within SHMRS deployment such as robot communication and computational load as well as human cognitive workload and situation awareness (SA.Research is essential to determine how the attributes can be manipulated to mitigate these issues while meeting the requirements of the USAR mission.

Valuing Attributes of Fluid Milk in Laos

OpenAIRE

Jae Won Lee; Taeyoon Kim; Viengsakoun Napasirth

2017-01-01

This study estimates the random utility function of fluid milk using 1,165 survey responses in Laos. It finds that both products’ attributes and individual characteristics affect consumers’ preference for the milk and the hypothetical brand of Laos-Korea has a potential compared to four real dairy products. Results also show that calories have a positive relationship with consumer’s preference while the price and fat content have a negative one. The decision for choosing each brand is signifi...

Game Theoretic Approach for Systematic Feature Selection; Application in False Alarm Detection in Intensive Care Units

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Fatemeh Afghah

2018-03-01

Full Text Available Intensive Care Units (ICUs are equipped with many sophisticated sensors and monitoring devices to provide the highest quality of care for critically ill patients. However, these devices might generate false alarms that reduce standard of care and result in desensitization of caregivers to alarms. Therefore, reducing the number of false alarms is of great importance. Many approaches such as signal processing and machine learning, and designing more accurate sensors have been developed for this purpose. However, the significant intrinsic correlation among the extracted features from different sensors has been mostly overlooked. A majority of current data mining techniques fail to capture such correlation among the collected signals from different sensors that limits their alarm recognition capabilities. Here, we propose a novel information-theoretic predictive modeling technique based on the idea of coalition game theory to enhance the accuracy of false alarm detection in ICUs by accounting for the synergistic power of signal attributes in the feature selection stage. This approach brings together techniques from information theory and game theory to account for inter-features mutual information in determining the most correlated predictors with respect to false alarm by calculating Banzhaf power of each feature. The numerical results show that the proposed method can enhance classification accuracy and improve the area under the ROC (receiver operating characteristic curve compared to other feature selection techniques, when integrated in classifiers such as Bayes-Net that consider inter-features dependencies.

Emotion Attribution to a Non-Humanoid Robot in Different Social Situations

Science.gov (United States)

Lakatos, Gabriella; Gácsi, Márta; Konok, Veronika; Brúder, Ildikó; Bereczky, Boróka; Korondi, Péter; Miklósi, Ádám

2014-01-01

In the last few years there was an increasing interest in building companion robots that interact in a socially acceptable way with humans. In order to interact in a meaningful way a robot has to convey intentionality and emotions of some sort in order to increase believability. We suggest that human-robot interaction should be considered as a specific form of inter-specific interaction and that human–animal interaction can provide a useful biological model for designing social robots. Dogs can provide a promising biological model since during the domestication process dogs were able to adapt to the human environment and to participate in complex social interactions. In this observational study we propose to design emotionally expressive behaviour of robots using the behaviour of dogs as inspiration and to test these dog-inspired robots with humans in inter-specific context. In two experiments (wizard-of-oz scenarios) we examined humans' ability to recognize two basic and a secondary emotion expressed by a robot. In Experiment 1 we provided our companion robot with two kinds of emotional behaviour (“happiness” and “fear”), and studied whether people attribute the appropriate emotion to the robot, and interact with it accordingly. In Experiment 2 we investigated whether participants tend to attribute guilty behaviour to a robot in a relevant context by examining whether relying on the robot's greeting behaviour human participants can detect if the robot transgressed a predetermined rule. Results of Experiment 1 showed that people readily attribute emotions to a social robot and interact with it in accordance with the expressed emotional behaviour. Results of Experiment 2 showed that people are able to recognize if the robot transgressed on the basis of its greeting behaviour. In summary, our findings showed that dog-inspired behaviour is a suitable medium for making people attribute emotional states to a non-humanoid robot. PMID:25551218

Emotion attribution to a non-humanoid robot in different social situations.

Directory of Open Access Journals (Sweden)

Gabriella Lakatos

Full Text Available In the last few years there was an increasing interest in building companion robots that interact in a socially acceptable way with humans. In order to interact in a meaningful way a robot has to convey intentionality and emotions of some sort in order to increase believability. We suggest that human-robot interaction should be considered as a specific form of inter-specific interaction and that human-animal interaction can provide a useful biological model for designing social robots. Dogs can provide a promising biological model since during the domestication process dogs were able to adapt to the human environment and to participate in complex social interactions. In this observational study we propose to design emotionally expressive behaviour of robots using the behaviour of dogs as inspiration and to test these dog-inspired robots with humans in inter-specific context. In two experiments (wizard-of-oz scenarios we examined humans' ability to recognize two basic and a secondary emotion expressed by a robot. In Experiment 1 we provided our companion robot with two kinds of emotional behaviour ("happiness" and "fear", and studied whether people attribute the appropriate emotion to the robot, and interact with it accordingly. In Experiment 2 we investigated whether participants tend to attribute guilty behaviour to a robot in a relevant context by examining whether relying on the robot's greeting behaviour human participants can detect if the robot transgressed a predetermined rule. Results of Experiment 1 showed that people readily attribute emotions to a social robot and interact with it in accordance with the expressed emotional behaviour. Results of Experiment 2 showed that people are able to recognize if the robot transgressed on the basis of its greeting behaviour. In summary, our findings showed that dog-inspired behaviour is a suitable medium for making people attribute emotional states to a non-humanoid robot.

Diagnostic criteria for headache attributed to temporomandibular disorders.

Science.gov (United States)

Schiffman, Eric; Ohrbach, Richard; List, Thomas; Anderson, Gary; Jensen, Rigmor; John, Mike T; Nixdorf, Donald; Goulet, Jean-Paul; Kang, Wenjun; Truelove, Ed; Clavel, Al; Fricton, James; Look, John

2012-07-01

We assessed and compared the diagnostic accuracy of two sets of diagnostic criteria for headache secondary to temporomandibular disorders (TMD). In 373 headache subjects with TMD, a TMD headache reference standard was defined as: self-reported temple headache, consensus diagnosis of painful TMD and replication of the temple headache using TMD-based provocation tests. Revised diagnostic criteria for Headache attributed to TMD were selected using the RPART (recursive partitioning and regression trees) procedure, and refined in half of the data set. Using the remaining half of the data, the diagnostic accuracy of the revised criteria was compared to that of the International Headache Society's International Classification of Headache Diseases (ICHD)-II criteria A to C for Headache or facial pain attributed to temporomandibular joint (TMJ) disorder. Relative to the TMD headache reference standard, ICHD-II criteria showed sensitivity of 84% and specificity of 33%. The revised criteria for Headache attributed to TMD had sensitivity of 89% with improved specificity of 87% (p headache that is changed with jaw movement, function or parafunction and (2) provocation of that headache by temporalis muscle palpation or jaw movement. Having significantly better specificity than the ICHD-II criteria A to C, the revised criteria are recommended to diagnose headache secondary to TMD.

Assessing brand image through communalities and asymmetries in brand-to-attribute and attribute-to-brand associations

NARCIS (Netherlands)

Torres, Anna; Bijmolt, Tarnmo H. A.

2009-01-01

Brand image is a key component of customer-based brand equity, and refers to the associations a consumer holds in memory. Such associations are often directional; one should distinguish between brand-to-attribute and attribute-to-brand associations, Information on these associations arise from two

The eyes have it: Using eye tracking to inform information processing strategies in multi-attributes choices.

Science.gov (United States)

Ryan, Mandy; Krucien, Nicolas; Hermens, Frouke

2018-04-01

Although choice experiments (CEs) are widely applied in economics to study choice behaviour, understanding of how individuals process attribute information remains limited. We show how eye-tracking methods can provide insight into how decisions are made. Participants completed a CE, while their eye movements were recorded. Results show that although the information presented guided participants' decisions, there were also several processing biases at work. Evidence was found of (a) top-to-bottom, (b) left-to-right, and (c) first-to-last order biases. Experimental factors-whether attributes are defined as "best" or "worst," choice task complexity, and attribute ordering-also influence information processing. How individuals visually process attribute information was shown to be related to their choices. Implications for the design and analysis of CEs and future research are discussed. Copyright © 2017 John Wiley & Sons, Ltd.

The importance of instrumental, symbolic, and environmental attributes for the adoption of smart energy systems

International Nuclear Information System (INIS)

Noppers, Ernst H.; Keizer, Kees; Milovanovic, Marko; Steg, Linda

2016-01-01

The conceptual model on motivations to adopt sustainable innovations (Noppers et al., 2014) proved to be successful in explaining proxies of the adoption of sustainable innovations: positive evaluations of the utility (instrumental attributes), environmental impact (environmental attributes), and specifically the extent to which the innovation says something about a person (symbolic attributes) increased interest in and intention to adopt sustainable innovations. In this paper, we examined to what extent the evaluations of these three attributes can also explain the actual adoption of smart energy systems that facilitate sustainable energy use. Results showed that adopters of smart energy systems (who agreed to participate in a project in which these systems were tested) evaluated the symbolic attributes of these systems more positively than non-adopters (who did not participate in this project), while both groups did not differ in their evaluation of the instrumental and environmental attributes of smart energy systems. A logistic regression analysis indicated that only evaluations of the symbolic attributes explained actual adoption of smart energy systems. Policy could stress and enhance the symbolic attributes of sustainable innovations to encourage adoption. - Highlights: • What drives consumer adoption of a sustainable innovation? • Evaluation of its symbolic attributes explained adoption of smart energy systems. • Evaluations of its instrumental and environmental attributes did not explain adoption. • Policy could stress and enhance symbolic attributes of smart energy systems.

The Case of the Woman Who Did Never Dare to Fly: Headache Attributed to Imbalance Between Intrasinusal and External Air Pressure.

Science.gov (United States)

Mainardi, Federico; Maggioni, Ferdinando; Zanchin, Giorgio

2016-02-01

A new form of headache, Headache attributed to aeroplane travel (AH), has been recognized within the International Classification of Headache Disorders 3 beta (ICHD-3beta). In 8 out of 85 AH cases we identified the coexistence of a headache with identical features of AH, but appearing during the rapid descent by car from a high mountain. Pain began shortly after the rapid descent from a medium altitude of 1920 m above sea level, the maximum peak of intensity developing within a few minutes. All of the patients reported the disappearance of pain within 20 minutes of the rapid descent. We recently observed a 36-year-old woman who experienced recurrent headache attacks that were constantly triggered by rapid descent from high altitude by car. Negatively shaped by this experience, the patient never dared to fly. Headache attacks sharing the same features and occurring in three distinct conditions of pressure variations (aeroplane travel, rapid altitude mountain descent, snorkelling, or scuba diving) have already been reported, although the last two only anecdotally. If confirmed by further case series, they could be gathered together in a unique heading: Headache attributed to imbalance between intrasinusal and external air pressure within the 10th chapter: Headache attributed to disorders of the homoeostasis. © 2016 American Headache Society.

Key Features of Electric Vehicle Diffusion and Its Impact on the Korean Power Market

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Dongnyok Shim

2018-06-01

Full Text Available The market share of electric vehicles is growing and the interest in these vehicles is rapidly increasing in industrialized countries. In the light of these circumstances, this study provides an integrated policy-making package, which includes key features for electric vehicle diffusion and its impact on the Korean power market. This research is based on a quantitative analysis with the following steps: (1 it analyzes drivers’ preferences for electric or traditional internal combustion engine (ICE vehicles with respect to key automobile attributes and these key attributes indicate what policy makers should focus on; (2 it forecasts the achievable level of market share of electric vehicles in relation to improvements in their key attributes; and (3 it evaluates the impact of electric vehicle diffusion on the Korean power market based on an achievable level of market share with different charging demand profiles. Our results reveal the market share of electric vehicles can increase to around 40% of the total market share if the key features of electric vehicles reach a similar level to those of traditional vehicles. In this estimation, an increase in the power market’s system generation costs will reach around 10% of the cost in the baseline scenario, which differs slightly depending on charging demand profiles.

Analysis of Salient Feature Jitter in the Cochlea for Objective Prediction of Temporally Localized Distortion in Synthesized Speech

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Wenliang Lu

2009-01-01

Full Text Available Temporally localized distortions account for the highest variance in subjective evaluation of coded speech signals (Sen (2001 and Hall (2001. The ability to discern and decompose perceptually relevant temporally localized coding noise from other types of distortions is both of theoretical importance as well as a valuable tool for deploying and designing speech synthesis systems. The work described within uses a physiologically motivated cochlear model to provide a tractable analysis of salient feature trajectories as processed by the cochlea. Subsequent statistical analysis shows simple relationships between the jitter of these trajectories and temporal attributes of the Diagnostic Acceptability Measure (DAM.

Discriminative power of visual attributes in dermatology.

Science.gov (United States)

Giotis, Ioannis; Visser, Margaretha; Jonkman, Marcel; Petkov, Nicolai

2013-02-01

Visual characteristics such as color and shape of skin lesions play an important role in the diagnostic process. In this contribution, we quantify the discriminative power of such attributes using an information theoretical approach. We estimate the probability of occurrence of each attribute as a function of the skin diseases. We use the distribution of this probability across the studied diseases and its entropy to define the discriminative power of the attribute. The discriminative power has a maximum value for attributes that occur (or do not occur) for only one disease and a minimum value for those which are equally likely to be observed among all diseases. Verrucous surface, red and brown colors, and the presence of more than 10 lesions are among the most informative attributes. A ranking of attributes is also carried out and used together with a naive Bayesian classifier, yielding results that confirm the soundness of the proposed method. proposed measure is proven to be a reliable way of assessing the discriminative power of dermatological attributes, and it also helps generate a condensed dermatological lexicon. Therefore, it can be of added value to the manual or computer-aided diagnostic process. © 2012 John Wiley & Sons A/S.

Innovations in individual feature history management - The significance of feature-based temporal model

Science.gov (United States)

Choi, J.; Seong, J.C.; Kim, B.; Usery, E.L.

2008-01-01

A feature relies on three dimensions (space, theme, and time) for its representation. Even though spatiotemporal models have been proposed, they have principally focused on the spatial changes of a feature. In this paper, a feature-based temporal model is proposed to represent the changes of both space and theme independently. The proposed model modifies the ISO's temporal schema and adds new explicit temporal relationship structure that stores temporal topological relationship with the ISO's temporal primitives of a feature in order to keep track feature history. The explicit temporal relationship can enhance query performance on feature history by removing topological comparison during query process. Further, a prototype system has been developed to test a proposed feature-based temporal model by querying land parcel history in Athens, Georgia. The result of temporal query on individual feature history shows the efficiency of the explicit temporal relationship structure. ?? Springer Science+Business Media, LLC 2007.

Methods and Model Dependency of Extreme Event Attribution: The 2015 European Drought

Science.gov (United States)

Hauser, Mathias; Gudmundsson, Lukas; Orth, René; Jézéquel, Aglaé; Haustein, Karsten; Vautard, Robert; van Oldenborgh, Geert J.; Wilcox, Laura; Seneviratne, Sonia I.

2017-10-01

Science on the role of anthropogenic influence on extreme weather events, such as heatwaves or droughts, has evolved rapidly in the past years. The approach of "event attribution" compares the occurrence-probability of an event in the present, factual climate with its probability in a hypothetical, counterfactual climate without human-induced climate change. Several methods can be used for event attribution, based on climate model simulations and observations, and usually researchers only assess a subset of methods and data sources. Here, we explore the role of methodological choices for the attribution of the 2015 meteorological summer drought in Europe. We present contradicting conclusions on the relevance of human influence as a function of the chosen data source and event attribution methodology. Assessments using the maximum number of models and counterfactual climates with pre-industrial greenhouse gas concentrations point to an enhanced drought risk in Europe. However, other evaluations show contradictory evidence. These results highlight the need for a multi-model and multi-method framework in event attribution research, especially for events with a low signal-to-noise ratio and high model dependency such as regional droughts.

Quantitative Prediction of Coalbed Gas Content Based on Seismic Multiple-Attribute Analyses

Directory of Open Access Journals (Sweden)

Renfang Pan

2015-09-01

Full Text Available Accurate prediction of gas planar distribution is crucial to selection and development of new CBM exploration areas. Based on seismic attributes, well logging and testing data we found that seismic absorption attenuation, after eliminating the effects of burial depth, shows an evident correlation with CBM gas content; (positive structure curvature has a negative correlation with gas content; and density has a negative correlation with gas content. It is feasible to use the hydrocarbon index (P*G and pseudo-Poisson ratio attributes for detection of gas enrichment zones. Based on seismic multiple-attribute analyses, a multiple linear regression equation was established between the seismic attributes and gas content at the drilling wells. Application of this equation to the seismic attributes at locations other than the drilling wells yielded a quantitative prediction of planar gas distribution. Prediction calculations were performed for two different models, one using pre-stack inversion and the other one disregarding pre-stack inversion. A comparison of the results indicates that both models predicted a similar trend for gas content distribution, except that the model using pre-stack inversion yielded a prediction result with considerably higher precision than the other model.

Noncognitive Attributes in Physician Assistant Education.

Science.gov (United States)

Brenneman, Anthony E; Goldgar, Constance; Hills, Karen J; Snyder, Jennifer H; VanderMeulen, Stephane P; Lane, Steven

2018-03-01

Physician assistant (PA) admissions processes have typically given more weight to cognitive attributes than to noncognitive ones, both because a high level of cognitive ability is needed for a career in medicine and because cognitive factors are easier to measure. However, there is a growing consensus across the health professions that noncognitive attributes such as emotional intelligence, empathy, and professionalism are important for success in clinical practice and optimal care of patients. There is also some evidence that a move toward more holistic admissions practices, including evaluation of noncognitive attributes, can have a positive effect on diversity. The need for these noncognitive attributes in clinicians is being reinforced by changes in the US health care system, including shifting patient demographics and a growing emphasis on team-based care and patient satisfaction, and the need for clinicians to help patients interpret complex medical information. The 2016 Physician Assistant Education Association Stakeholder Summit revealed certain behavioral and affective qualities that employers of PAs value and sometimes find lacking in new graduates. Although there are still gaps in the evidence base, some tools and technologies currently exist to more accurately measure noncognitive variables. We propose some possible strategies and tools that PA programs can use to formalize the way they select for noncognitive attributes. Since PA programs have, on average, only 27 months to educate students, programs may need to focus more resources on selecting for these attributes than teaching them.

Provider attributes correlation analysis to their referral frequency and awards.

Science.gov (United States)

Wiley, Matthew T; Rivas, Ryan L; Hristidis, Vagelis

2016-03-14

There has been a recent growth in health provider search portals, where patients specify filters-such as specialty or insurance-and providers are ranked by patient ratings or other attributes. Previous work has identified attributes associated with a provider's quality through user surveys. Other work supports that intuitive quality-indicating attributes are associated with a provider's quality. We adopt a data-driven approach to study how quality indicators of providers are associated with a rich set of attributes including medical school, graduation year, procedures, fellowships, patient reviews, location, and technology usage. In this work, we only consider providers as individuals (e.g., general practitioners) and not organizations (e.g., hospitals). As quality indicators, we consider the referral frequency of a provider and a peer-nominated quality designation. We combined data from the Centers for Medicare and Medicaid Services (CMS) and several provider rating web sites to perform our analysis. Our data-driven analysis identified several attributes that correlate with and discriminate against referral volume and peer-nominated awards. In particular, our results consistently demonstrate that these attributes vary by locality and that the frequency of an attribute is more important than its value (e.g., the number of patient reviews or hospital affiliations are more important than the average review rating or the ranking of the hospital affiliations, respectively). We demonstrate that it is possible to build accurate classifiers for referral frequency and quality designation, with accuracies over 85 %. Our findings show that a one-size-fits-all approach to ranking providers is inadequate and that provider search portals should calibrate their ranking function based on location and specialty. Further, traditional filters of provider search portals should be reconsidered, and patients should be aware of existing pitfalls with these filters and educated on local

State-level Medicaid expenditures attributable to smoking.

Science.gov (United States)

Armour, Brian S; Finkelstein, Eric A; Fiebelkorn, Ian C

2009-07-01

Medicaid recipients are disproportionately affected by tobacco-related disease because their smoking prevalence is approximately 53% greater than that of the overall US adult population. This study estimates state-level smoking-attributable Medicaid expenditures. We used state-level and national data and a 4-part econometric model to estimate the fraction of each state's Medicaid expenditures attributable to smoking. These fractions were multiplied by state-level Medicaid expenditure estimates obtained from the Centers for Medicare and Medicaid Services to estimate smoking-attributable expenditures. The smoking-attributable fraction for all states was 11.0% (95% confidence interval, 0.4%-17.0%). Medicaid smoking-attributable expenditures ranged from $40 million (Wyoming) to $3.3 billion (New York) in 2004 and totaled $22 billion nationwide. Cigarette smoking accounts for a sizeable share of annual state Medicaid expenditures. To reduce smoking prevalence among recipients and the growth rate in smoking-attributable Medicaid expenditures, state health departments and state health plans such as Medicaid are encouraged to provide free or low-cost access to smoking cessation counseling and medication.

Feature integration and spatial attention: common processes for endogenous and exogenous orienting.

Science.gov (United States)

Henderickx, David; Maetens, Kathleen; Soetens, Eric

2010-05-01

Briand (J Exp Psychol Hum Percept Perform 24:1243-1256, 1998) and Briand and Klein (J Exp Psychol Hum Percept Perform 13:228-241, 1987) demonstrated that spatial cueing effects are larger for detecting conjunction of features than for detecting simple features when spatial attention is oriented exogenously, and not when attention is oriented endogenously. Their results were interpreted as if only exogenous attention affects the posterior spatial attention system that performs the feature binding function attributed to spatial attention by Treisman's feature integration theory (FIT; 1980). In a series of 6 experiments, we attempted to replicate Briand's findings. Manipulations of distractor string size and symmetry of stimulus presentation left and right from fixation were implemented in Posner's cueing paradigm. The data indicate that both exogenous and endogenous cueing address the same attentional mechanism needed for feature binding. The results also limit the generalisability of Briand's proposal concerning the role of exogenous attention in feature integration. Furthermore, the importance to control the effect of unintended attentional capture in a cueing task is demonstrated.

The feature-weighted receptive field: an interpretable encoding model for complex feature spaces.

Science.gov (United States)

St-Yves, Ghislain; Naselaris, Thomas

2017-06-20

We introduce the feature-weighted receptive field (fwRF), an encoding model designed to balance expressiveness, interpretability and scalability. The fwRF is organized around the notion of a feature map-a transformation of visual stimuli into visual features that preserves the topology of visual space (but not necessarily the native resolution of the stimulus). The key assumption of the fwRF model is that activity in each voxel encodes variation in a spatially localized region across multiple feature maps. This region is fixed for all feature maps; however, the contribution of each feature map to voxel activity is weighted. Thus, the model has two separable sets of parameters: "where" parameters that characterize the location and extent of pooling over visual features, and "what" parameters that characterize tuning to visual features. The "where" parameters are analogous to classical receptive fields, while "what" parameters are analogous to classical tuning functions. By treating these as separable parameters, the fwRF model complexity is independent of the resolution of the underlying feature maps. This makes it possible to estimate models with thousands of high-resolution feature maps from relatively small amounts of data. Once a fwRF model has been estimated from data, spatial pooling and feature tuning can be read-off directly with no (or very little) additional post-processing or in-silico experimentation. We describe an optimization algorithm for estimating fwRF models from data acquired during standard visual neuroimaging experiments. We then demonstrate the model's application to two distinct sets of features: Gabor wavelets and features supplied by a deep convolutional neural network. We show that when Gabor feature maps are used, the fwRF model recovers receptive fields and spatial frequency tuning functions consistent with known organizational principles of the visual cortex. We also show that a fwRF model can be used to regress entire deep

Bad is freer than good: Positive-negative asymmetry in attributions of free will.

Science.gov (United States)

Feldman, Gilad; Wong, Kin Fai Ellick; Baumeister, Roy F

2016-05-01

Recent findings support the idea that the belief in free will serves as the basis for moral responsibility, thus promoting the punishment of immoral agents. We theorized that free will extends beyond morality to serve as the basis for accountability and the capacity for change more broadly, not only for others but also for the self. Five experiments showed that people attributed higher freedom of will to negative than to positive valence, regardless of morality or intent, for both self and others. In recalling everyday life situations and in classical decision making paradigms, negative actions, negatives outcomes, and negative framing were attributed higher free will than positive ones. Free will attributions were mainly driven by action or outcome valence, but not intent. These findings show consistent support for the idea that free will underlies laypersons' sense-making for accountability and change under negative circumstances. Copyright © 2016 Elsevier Inc. All rights reserved.

The Impact of Product Assortment Size and Attribute Quantity on Information Searches

DEFF Research Database (Denmark)

Dörnyei, Krisztina Rita; Chrysochou, Polymeros; Krystallis, Athanasios

2017-01-01

Purpose: This paper investigates the impact of assortment size and attribute quantity on the depth and content of consumer information searches. Design/methodology/approach: For a computer-aided experiment using an information display board, participants (n=393) were placed in a simulated shopping...... situation that involved choosing a product among three sets of frequently purchased, low-involvement, FMCG alternatives. Findings: The findings show that when the assortment size increases, consumers acquire information from more products and cues but sacrifice product attributes. In particular...

Fuzzy Linguistic Optimization on Multi-Attribute Machining

Directory of Open Access Journals (Sweden)

Tian-Syung Lan

2010-06-01

Full Text Available Most existing multi-attribute optimization researches for the modern CNC (computer numerical control turning industry were either accomplished within certain manufacturing circumstances, or achieved through numerous equipment operations. Therefore, a general deduction optimization scheme proposed is deemed to be necessary for the industry. In this paper, four parameters (cutting depth, feed rate, speed, tool nose runoff with three levels (low, medium, high are considered to optimize the multi-attribute (surface roughness, tool wear, and material removal rate finish turning. Through FAHP (Fuzzy Analytic Hierarchy Process with eighty intervals for each attribute, the weight of each attribute is evaluated from the paired comparison matrix constructed by the expert judgment. Additionally, twenty-seven fuzzy control rules using trapezoid membership function with respective to seventeen linguistic grades for each attribute are constructed. Considering thirty input and eighty output intervals, the defuzzifierion using center of gravity is thus completed. The TOPSIS (Technique for Order Preference by Similarity to Ideal Solution is moreover utilized to integrate and evaluate the multiple machining attributes for the Taguchi experiment, and thus the optimum general deduction parameters can then be received. The confirmation experiment for optimum general deduction parameters is furthermore performed on an ECOCA-3807 CNC lathe. It is shown that the attributes from the fuzzy linguistic optimization parameters are all significantly advanced comparing to those from benchmark. This paper not only proposes a general deduction optimization scheme using orthogonal array, but also contributes the satisfactory fuzzy linguistic approach for multiple CNC turning attributes with profound insight.

Situation and person attributions under spontaneous and intentional instructions: an fMRI study

Science.gov (United States)

Kestemont, Jenny; Vandekerckhove, Marie; Ma, Ning; Van Hoeck, Nicole

2013-01-01

This functional magnetic resonance imaging (fMRI) research explores how observers make causal beliefs about an event in terms of the person or situation. Thirty-four participants read various short descriptions of social events that implied either the person or the situation as the cause. Half of them were explicitly instructed to judge whether the event was caused by something about the person or the situation (intentional inferences), whereas the other half was instructed simply to read the material carefully (spontaneous inferences). The results showed common activation in areas related to mentalizing, across all types of causes or instructions (posterior superior temporal sulcus, temporo-parietal junction, precuneus). However, the medial prefrontal cortex was activated only under spontaneous instructions, but not under intentional instruction. This suggests a bias toward person attributions (e.g. fundamental attribution bias). Complementary to this, intentional situation attributions activated a stronger and more extended network compared to intentional person attributions, suggesting that situation attributions require more controlled, extended and broader processing of the information. PMID:22345370

What vehicle features are considered important when buying an automobile? An examination of driver preferences by age and gender.

Science.gov (United States)

Vrkljan, Brenda H; Anaby, Dana

2011-02-01

Certain vehicle features can help drivers avoid collisions and/or protect occupants in the event of a crash, and therefore, might play an important role when deciding which vehicle to purchase. The objective of this study was to examine the importance attributed to key vehicle features (including safety) that drivers consider when buying a car and its association with age and gender. A sample of 2,002 Canadian drivers aged 18 years and older completed a survey that asked them to rank the importance of eight vehicle features if they were to purchase a vehicle (storage, mileage, safety, price, comfort, performance, design, and reliability). ANOVA tests were performed to: (a) determine if there were differences in the level of importance between features and; (b) examine the effect of age and gender on the importance attributed to these features. Of the features examined, safety and reliability were the most highly rated in terms of importance, whereas design and performance had the lowest rating. Differences in safety and performance across age groups were dependent on gender. This effect was most evident in the youngest and oldest age groups. Safety and reliability were considered the most important features. Age and gender play a significant role in explaining the importance of certain features. Targeted efforts for translating safety-related information to the youngest and oldest consumers should be emphasized due to their high collision, injury, and fatality rates. Copyright © 2011 National Safety Council and Elsevier Ltd. All rights reserved.

A New Attribute Control Chart using Multiple Dependent State Repetitive Sampling

KAUST Repository

Aldosari, Mansour Sattam; Aslam, Muhammad; Jun, Chi-Hyuck

2017-01-01

In this manuscript, a new attribute control chart using multiple dependent state repetitive sampling is designed. The operational procedure and structure of the proposed control chart is given. The required measures to determine the average run length (ARL) for in-control and out-of-control processes are given. Tables of ARLs are reported for various control chart parameters. The proposed control chart is more sensitive in detecting a small shift in the process as compared to the existing attribute control charts. The simulation study shows the efficiency of the proposed chart over the existing charts. An example is given for the illustration purpose.

A New Attribute Control Chart using Multiple Dependent State Repetitive Sampling

KAUST Repository

Aldosari, Mansour Sattam

2017-03-25

In this manuscript, a new attribute control chart using multiple dependent state repetitive sampling is designed. The operational procedure and structure of the proposed control chart is given. The required measures to determine the average run length (ARL) for in-control and out-of-control processes are given. Tables of ARLs are reported for various control chart parameters. The proposed control chart is more sensitive in detecting a small shift in the process as compared to the existing attribute control charts. The simulation study shows the efficiency of the proposed chart over the existing charts. An example is given for the illustration purpose.

Development and Validation of the Masculine Attributes Questionnaire.

Science.gov (United States)

Cho, Junhan; Kogan, Steven M

2017-07-01

The present study describes the development and validation of the Masculine Attributes Questionnaire (MAQ). The purpose of this study was to develop a theoretically and empirically grounded measure of masculine attributes for sexual health research with African American young men. Consistent with Whitehead's theory, the MAQ items were hypothesized to comprise two components representing reputation-based and respect-based attributes. The sample included 505 African American men aged 19 to 22 years ( M = 20.29, SD = 1.10) living in resource-poor communities in the rural South. Convergent and discriminant validity of the MAQ were assessed by examining the associations of masculinity attributes with psychosocial factors. Criterion validity was assessed by examining the extent to which the MAQ subscales predicted sexual risk behavior outcomes. Consistent with study hypotheses, the MAQ was composed of (a) reputation-based attributes oriented toward sexual prowess, toughness, and authority-defying behavior and (b) respect-based attributes oriented toward economic independence, socially approved levels of hard work and education, and committed romantic relationships. Reputation-based attributes were associated positively with street code and negatively related to academic orientation, vocational engagement, and self-regulation, whereas respect-based attributes were associated positively with academic and vocational orientations and self-regulation. Finally, reputation-based attributes predicted sexual risk behaviors including concurrent sexual partnerships, multiple sexual partners, marijuana use, and incarceration, net of the influence of respect-based attributes. The development of the MAQ provides a new measure that permits systematic quantitative investigation of the associations between African American men's masculinity ideology and sexual risk behavior.

Investigating reliability attributes of silicon photovoltaic cells - An overview

Science.gov (United States)

Royal, E. L.

1982-01-01

Reliability attributes are being developed on a wide variety of advanced single-crystal silicon solar cells. Two separate investigations: cell-contact integrity (metal-to-silicon adherence), and cracked cells identified with fracture-strength-reducing flaws are discussed. In the cell-contact-integrity investigation, analysis of contact pull-strength data shows that cell types made with different metallization technologies, i.e., vacuum, plated, screen-printed and soldered, have appreciably different reliability attributes. In the second investigation, fracture strength was measured using Czochralski wafers and cells taken at various stages of processing and differences were noted. Fracture strength, which is believed to be governed by flaws introduced during wafer sawing, was observed to improve (increase) after chemical polishing and other process steps that tend to remove surface and edge flaws.

Processing companies' preferences for attributes of beef in Switzerland.

Science.gov (United States)

Boesch, Irene

2014-01-01

The aim of this work was to assess processing companies' preferences for attributes of Swiss beef. To this end, qualitative interviews were used to derive product attributes that determine the buying decision. Through an adaptive-choice based conjoint analysis survey and latent class analysis of choice data, we compute class preferences. Results show that there are two distinct classes. A smaller class emphasizes traceability back to the birth farm and low producer price, a larger class focuses on environmental effects and origin. Additionally we see that larger companies are more price-sensitive and smaller companies are more sensitive to origin of the animals. The results outlined in this paper may be used to target market segments and to derive differentiation strategies based on product characteristics. Copyright © 2013 Elsevier Ltd. All rights reserved.

Selection of key terrain attributes for SOC model

DEFF Research Database (Denmark)

Greve, Mogens Humlekrog; Adhikari, Kabindra; Chellasamy, Menaka

As an important component of the global carbon pool, soil organic carbon (SOC) plays an important role in the global carbon cycle. SOC pool is the basic information to carry out global warming research, and needs to sustainable use of land resources. Digital terrain attributes are often use...... was selected, total 2,514,820 data mining models were constructed by 71 differences grid from 12m to 2304m and 22 attributes, 21 attributes derived by DTM and the original elevation. Relative importance and usage of each attributes in every model were calculated. Comprehensive impact rates of each attribute...

Chin Shan analyses show advantages of whole pool multi-rack approach

International Nuclear Information System (INIS)

Singh, K.P.; Soler, A.I.

1991-01-01

Nuclear fuel storage racks are essentially thin-walled, cellular structures of prismatic cross-section. Although the details of design vary from one supplier to another, certain key physical attributes are common to all designs. For example, all racks feature square cells of sufficient opening size and height to enable insertion and withdrawal of the fuel assembly. The array of cells is positioned in a vertical orientation and is supported off the pool slab surface by four or more support legs. The spent fuel pool is filled with the individual fuel racks. The plenum created by the support legs is essential for proper cooling of the fuel assemblies stored in the rack, which relies on natural convective cooling to extract the heat emitted by the spent fuel. However, it has the insalutary effect of making it kinematically less stable. Regulatory authorities require careful and comprehensive analysis of the response of the racks under the seismic motions postulated for the pool slab. Results from whole pool multi-rack (WPMR) analyses at the Chin Shan and Oyster Creek nuclear plants point up the potential inadequacies of single rack 3D analyses, and show just how important it is to carry out WPMR simulations, despite their abstruseness and high cost. (author)

Household chaos moderates the link between maternal attribution bias and parenting: Parenting: Science and Practice.

Science.gov (United States)

Wang, Z; Deater-Deckard, K; Bell, M A

2013-10-01

Parents who attribute child misbehavior to children's intentions and dismiss situational factors tend to show more hostility and less warmth in their parenting behavior, and are at greater risk for maltreatment. We extended this literature by investigating the role of household chaos as a moderator of the link between maternal attribution biases and parenting behaviors. The current sample included 160 mothers of 3- to7-year-old children. Mothers provided reports on their attribution biases and household chaos levels. Maternal negativity and positivity were measured using self-reports and observers' ratings. The links between attribution bias and parenting behavior were stronger in more chaotic environments, with the moderating effect of chaos being particularly strong for internal attribution bias. The findings point to the importance of social cognitive biases in the etiology of maternal behavior in family contexts that lack order and predictability.

Detection and attribution of observed impacts

NARCIS (Netherlands)

Cramer, W.; Yohe, G.W.; Auffhammer, M.; Huggel, C.; Molau, U.; Dias, M.A.F.S.; Leemans, R.

2014-01-01

This chapter synthesizes the scientific literature on the detection and attribution of observed changes in natural and human systems in response to observed recent climate change. For policy makers and the public, detection and attribution of observed impacts will be a key element to determine the

Sequence-based classification using discriminatory motif feature selection.

Directory of Open Access Journals (Sweden)

Hao Xiong

Full Text Available Most existing methods for sequence-based classification use exhaustive feature generation, employing, for example, all k-mer patterns. The motivation behind such (enumerative approaches is to minimize the potential for overlooking important features. However, there are shortcomings to this strategy. First, practical constraints limit the scope of exhaustive feature generation to patterns of length ≤ k, such that potentially important, longer (> k predictors are not considered. Second, features so generated exhibit strong dependencies, which can complicate understanding of derived classification rules. Third, and most importantly, numerous irrelevant features are created. These concerns can compromise prediction and interpretation. While remedies have been proposed, they tend to be problem-specific and not broadly applicable. Here, we develop a generally applicable methodology, and an attendant software pipeline, that is predicated on discriminatory motif finding. In addition to the traditional training and validation partitions, our framework entails a third level of data partitioning, a discovery partition. A discriminatory motif finder is used on sequences and associated class labels in the discovery partition to yield a (small set of features. These features are then used as inputs to a classifier in the training partition. Finally, performance assessment occurs on the validation partition. Important attributes of our approach are its modularity (any discriminatory motif finder and any classifier can be deployed and its universality (all data, including sequences that are unaligned and/or of unequal length, can be accommodated. We illustrate our approach on two nucleosome occupancy datasets and a protein solubility dataset, previously analyzed using enumerative feature generation. Our method achieves excellent performance results, with and without optimization of classifier tuning parameters. A Python pipeline implementing the approach is

Feature-Based Statistical Analysis of Combustion Simulation Data

Energy Technology Data Exchange (ETDEWEB)

Bennett, J; Krishnamoorthy, V; Liu, S; Grout, R; Hawkes, E; Chen, J; Pascucci, V; Bremer, P T

2011-11-18

We present a new framework for feature-based statistical analysis of large-scale scientific data and demonstrate its effectiveness by analyzing features from Direct Numerical Simulations (DNS) of turbulent combustion. Turbulent flows are ubiquitous and account for transport and mixing processes in combustion, astrophysics, fusion, and climate modeling among other disciplines. They are also characterized by coherent structure or organized motion, i.e. nonlocal entities whose geometrical features can directly impact molecular mixing and reactive processes. While traditional multi-point statistics provide correlative information, they lack nonlocal structural information, and hence, fail to provide mechanistic causality information between organized fluid motion and mixing and reactive processes. Hence, it is of great interest to capture and track flow features and their statistics together with their correlation with relevant scalar quantities, e.g. temperature or species concentrations. In our approach we encode the set of all possible flow features by pre-computing merge trees augmented with attributes, such as statistical moments of various scalar fields, e.g. temperature, as well as length-scales computed via spectral analysis. The computation is performed in an efficient streaming manner in a pre-processing step and results in a collection of meta-data that is orders of magnitude smaller than the original simulation data. This meta-data is sufficient to support a fully flexible and interactive analysis of the features, allowing for arbitrary thresholds, providing per-feature statistics, and creating various global diagnostics such as Cumulative Density Functions (CDFs), histograms, or time-series. We combine the analysis with a rendering of the features in a linked-view browser that enables scientists to interactively explore, visualize, and analyze the equivalent of one terabyte of simulation data. We highlight the utility of this new framework for combustion

Development of the Attributed Dignity Scale.

Science.gov (United States)

Jacelon, Cynthia S; Dixon, Jane; Knafl, Kathleen A

2009-07-01

A sequential, multi-method approach to instrument development beginning with concept analysis, followed by (a) item generation from qualitative data, (b) review of items by expert and lay person panels, (c) cognitive appraisal interviews, (d) pilot testing, and (e) evaluating construct validity was used to develop a measure of attributed dignity in older adults. The resulting positively scored, 23-item scale has three dimensions: Self-Value, Behavioral Respect-Self, and Behavioral Respect-Others. Item-total correlations in the pilot study ranged from 0.39 to 0.85. Correlations between the Attributed Dignity Scale (ADS) and both Rosenberg's Self-Esteem Scale (0.17) and Crowne and Marlowe's Social Desirability Scale (0.36) were modest and in the expected direction, indicating attributed dignity is a related but independent concept. Next steps include testing the ADS with a larger sample to complete factor analysis, test-retest stability, and further study of the relationships between attributed dignity and other concepts.

Semantic Feature Training in Combination with Transcranial Direct Current Stimulation (tDCS for Progressive Anomia

Directory of Open Access Journals (Sweden)

Jinyi Hung

2017-05-01

Full Text Available We examined the effectiveness of a 2-week regimen of a semantic feature training in combination with transcranial direct current stimulation (tDCS for progressive naming impairment associated with primary progressive aphasia (N = 4 or early onset Alzheimer’s Disease (N = 1. Patients received a 2-week regimen (10 sessions of anodal tDCS delivered over the left temporoparietal cortex while completing a language therapy that consisted of repeated naming and semantic feature generation. Therapy targets consisted of familiar people, household items, clothes, foods, places, hygiene implements, and activities. Untrained items from each semantic category provided item level controls. We analyzed naming accuracies at multiple timepoints (i.e., pre-, post-, 6-month follow-up via a mixed effects logistic regression and individual differences in treatment responsiveness using a series of non-parametric McNemar tests. Patients showed advantages for naming trained over untrained items. These gains were evident immediately post tDCS. Trained items also showed a shallower rate of decline over 6-months relative to untrained items that showed continued progressive decline. Patients tolerated stimulation well, and sustained improvements in naming accuracy suggest that the current intervention approach is viable. Future implementation of a sham control condition will be crucial toward ascertaining whether neurostimulation and behavioral treatment act synergistically or alternatively whether treatment gains are exclusively attributable to either tDCS or the behavioral intervention.

Distinct neural networks for target feature versus dimension changes in visual search, as revealed by EEG and fMRI.

Science.gov (United States)

Becker, Stefanie I; Grubert, Anna; Dux, Paul E

2014-11-15

In visual search, responses are slowed, from one trial to the next, both when the target dimension changes (e.g., from a color target to a size target) and when the target feature changes (e.g., from a red target to a green target) relative to being repeated across trials. The present study examined whether such feature and dimension switch costs can be attributed to the same underlying mechanism(s). Contrary to this contention, an EEG study showed that feature changes influenced visual selection of the target (i.e., delayed N2pc onset), whereas dimension changes influenced the later process of response selection (i.e., delayed s-LRP onset). An fMRI study provided convergent evidence for the two-system view: Compared with repetitions, feature changes led to increased activation in the occipital cortex, and superior and inferior parietal lobules, which have been implicated in spatial attention. By contrast, dimension changes led to activation of a fronto-posterior network that is primarily linked with response selection (i.e., pre-motor cortex, supplementary motor area and frontal areas). Taken together, the results suggest that feature and dimension switch costs are based on different processes. Specifically, whereas target feature changes delay attention shifts to the target, target dimension changes interfere with later response selection operations. Crown Copyright © 2014. Published by Elsevier Inc. All rights reserved.

Interpersonal reactivity and the attribution of emotional reactions.

Science.gov (United States)

Haas, Brian W; Anderson, Ian W; Filkowski, Megan M

2015-06-01

The ability to identify the cause of another person's emotional reaction is an important component associated with improved success of social relationships and survival. Although many studies have investigated the mechanisms involved in emotion recognition, very little is currently known regarding the processes involved during emotion attribution decisions. Research on complementary "emotion understanding" mechanisms, including empathy and theory of mind, has demonstrated that emotion understanding decisions are often made through relatively emotion- or cognitive-based processing streams. The current study was designed to investigate the behavioral and brain mechanisms involved in emotion attribution decisions. We predicted that dual processes, emotional and cognitive, are engaged during emotion attribution decisions. Sixteen healthy adults completed the Interpersonal Reactivity Index to characterize individual differences in tendency to make emotion- versus cognitive-based interpersonal decisions. Participants then underwent functional MRI while making emotion attribution decisions. We found neuroimaging evidence that emotion attribution decisions engage a similar brain network as other forms of emotion understanding. Further, we found evidence in support of a dual processes model involved during emotion attribution decisions. Higher scores of personal distress were associated with quicker emotion attribution decisions and increased anterior insula activity. Conversely, higher scores in perspective taking were associated with delayed emotion attribution decisions and increased prefrontal cortex and premotor activity. These findings indicate that the making of emotion attribution decisions relies on dissociable emotional and cognitive processing streams within the brain. (c) 2015 APA, all rights reserved).

Parenting Attributions and Attitudes in Cross-Cultural Perspective

Science.gov (United States)

Bornstein, Marc H.; Putnick, Diane L.; Lansford, Jennifer E.

2011-01-01

SYNOPSIS Objective This article used the Parenting Across Cultures Project to evaluate similarities and differences in mean levels and relative agreement between mothers’ and fathers’ attributions and attitudes in parenting in 9 countries. Design Mothers and fathers reported their perceptions of causes of successes and failures in caregiving and their progressive versus authoritarian childrearing attitudes. Gender and cultural similarities and differences in parents’ attributions and attitudes in 9 countries were analyzed: China, Colombia, Italy, Jordan, Kenya, the Philippines, Sweden, Thailand, or the United States. Results Although mothers and fathers did not differ in any attribution, mothers reported more progressive parenting attitudes and modernity of childrearing attitudes than did fathers, and fathers reported more authoritarian attitudes than did mothers. Country differences also emerged in all attributions and attitudes that were examined. Mothers’ and fathers’ attributions and their attitudes were moderately correlated, but parenting attitudes were more highly correlated in parents than were attributions. Conclusions We draw connections among the findings across the 9 countries and outline implications for understanding similarities and differences in mothers’ and fathers’ parenting attributions and attitudes. PMID:21927591

Improved Conflict Detection for Graph Transformation with Attributes

Directory of Open Access Journals (Sweden)

Géza Kulcsár

2015-04-01

Full Text Available In graph transformation, a conflict describes a situation where two alternative transformations cannot be arbitrarily serialized. When enriching graphs with attributes, existing conflict detection techniques typically report a conflict whenever at least one of two transformations manipulates a shared attribute. In this paper, we propose an improved, less conservative condition for static conflict detection of graph transformation with attributes by explicitly taking the semantics of the attribute operations into account. The proposed technique is based on symbolic graphs, which extend the traditional notion of graphs by logic formulas used for attribute handling. The approach is proven complete, i.e., any potential conflict is guaranteed to be detected.

Showing Value (Editorial

Directory of Open Access Journals (Sweden)

Denise Koufogiannakis

2009-06-01

librarians on student achievement. Todd notes, “If we do not show value, we will not have a future. Evidence-based practice is not about the survival of school librarians, it’s about the survival of our students” (40. In this issue we feature school libraries and their connection to evidence based practice. Former Editor-in-Chief, Lindsay Glynn, began putting the wheels in motion for this feature almost a year ago. She invited Carol Gordon and Ross Todd to act as guest editors of the section, drawing upon their contacts and previous work in this field. The result is an issue with five feature articles exploring different aspects of the connection between school libraries and evidence based practice, from the theoretical to the practical. In addition, there is a thought-provoking Commentary by David Loertscher, asking whether we need the evolutionary model of evidence based practice, or something more revolutionary!In addition to the Feature section, we have a well-rounded issue with articles on the topics of library human resources, and the development of a scholars’ portal. As well, there are a record 10 evidence summaries and our educational EBL101 column. I hope there is something for everyone in this issue of EBLIP – enjoy, and see you soon in Stockholm!

Particle swarm optimization based feature enhancement and feature selection for improved emotion recognition in speech and glottal signals.

Science.gov (United States)

Muthusamy, Hariharan; Polat, Kemal; Yaacob, Sazali

2015-01-01

In the recent years, many research works have been published using speech related features for speech emotion recognition, however, recent studies show that there is a strong correlation between emotional states and glottal features. In this work, Mel-frequency cepstralcoefficients (MFCCs), linear predictive cepstral coefficients (LPCCs), perceptual linear predictive (PLP) features, gammatone filter outputs, timbral texture features, stationary wavelet transform based timbral texture features and relative wavelet packet energy and entropy features were extracted from the emotional speech (ES) signals and its glottal waveforms(GW). Particle swarm optimization based clustering (PSOC) and wrapper based particle swarm optimization (WPSO) were proposed to enhance the discerning ability of the features and to select the discriminating features respectively. Three different emotional speech databases were utilized to gauge the proposed method. Extreme learning machine (ELM) was employed to classify the different types of emotions. Different experiments were conducted and the results show that the proposed method significantly improves the speech emotion recognition performance compared to previous works published in the literature.

Pairwise Constraint-Guided Sparse Learning for Feature Selection.

Science.gov (United States)

Liu, Mingxia; Zhang, Daoqiang

2016-01-01

Feature selection aims to identify the most informative features for a compact and accurate data representation. As typical supervised feature selection methods, Lasso and its variants using L1-norm-based regularization terms have received much attention in recent studies, most of which use class labels as supervised information. Besides class labels, there are other types of supervised information, e.g., pairwise constraints that specify whether a pair of data samples belong to the same class (must-link constraint) or different classes (cannot-link constraint). However, most of existing L1-norm-based sparse learning methods do not take advantage of the pairwise constraints that provide us weak and more general supervised information. For addressing that problem, we propose a pairwise constraint-guided sparse (CGS) learning method for feature selection, where the must-link and the cannot-link constraints are used as discriminative regularization terms that directly concentrate on the local discriminative structure of data. Furthermore, we develop two variants of CGS, including: 1) semi-supervised CGS that utilizes labeled data, pairwise constraints, and unlabeled data and 2) ensemble CGS that uses the ensemble of pairwise constraint sets. We conduct a series of experiments on a number of data sets from University of California-Irvine machine learning repository, a gene expression data set, two real-world neuroimaging-based classification tasks, and two large-scale attribute classification tasks. Experimental results demonstrate the efficacy of our proposed methods, compared with several established feature selection methods.

Brand Awareness, Ad Attıtudes and Ad Features Toward Engagement on Youtube: an Empırıcal Study of Green Automobıles

Directory of Open Access Journals (Sweden)

Ayu Febriyanti Puspitasari

2015-09-01

Full Text Available The purpose of this paper is to develop suitable measurements for brand awareness, ad attitudes, ad features, and customer engagement on YouTube, also to investigate the relationships among brand awareness, ad attitudes, ad features toward engagements on YouTube and conduct an empirical study of green automobile videos on YouTube channel. YouTube as social media video sharing platform are used as a platform to investigate customer engagements. The study utilizes statistics data from YouTube channel. There are 7 green car model of video advertisements chosen as the sample of this study. Total number of observations are 633 green car video advertisements on YouTube. Comparison of full model and reduced model also multiple linear regression are conducted to analyze the relationship among brand awareness, ad attitudes, ad features toward engagements. The result shows thatbrand awareness and ad attitudes play very important role to engage customer on YouTube. Hence ad features doesn’t significantly play important role to engage customer on YouTube. The result of this research also shows that green or non-green messages which delivered by each video advertisement is not influence significantly. Indicate that it is important for company to consider use YouTube as one of video sharing platform to engage their customer through online video advertisements.This research model also can be used for another social media in example facebook, twitter, etc with different measurement. This research framework also can be used to analyze the effectiveness of company’s engagement process on YouTube. Online advertisers therefore should work with companies that operate social media websites especially use YouTube to increase the persuasive effects of interactivity, make advertised products more tangible for potential consumers, identify the most important attributes, and use these attributes in advertising. There is no previous research addresses about this kind

An Exploration of EFL Teachers' Attributions

Science.gov (United States)

Ghonsooly, Behzad; Ghanizadeh, Afsaneh; Ghazanfari, Mohammad; Ghabanchi, Zargham

2015-01-01

The present study investigated English as a foreign language (EFL) teachers' attributions of success and failure. It also set out to investigate whether these attributions vary by teachers' age, teaching experience, gender and educational level. To do so, 200 EFL teachers were selected according to convenience sampling among EFL teachers teaching…

Crisis Workers' Attributions for Domestic Violence.

Science.gov (United States)

Madden, Margaret E.

Attributions affect coping with victimization. Battered women who blame their husbands' moods are less likely to leave than are women who blame their husbands' permanent characteristics for the violence. Abused women often have repeated contacts with crisis intervention workers and the attitudes of those workers may affect the attributions made by…

The effect of restaurant attributes on customers' expectations and experiences in formal full service restaurants in Port Elizabeth, South Africa

Directory of Open Access Journals (Sweden)

O Mhlanga

2014-01-01

Full Text Available The purpose of this study was to assess the effect of restaurant attributes on customers’ expectations and experiences in formal full service restaurants. The attributes included in this research were food, service and ambience as independent variables and expectations and experiences as dependent variables. The aims were to: (a assess restaurant attributes that are important for customers’ expectations and experiences, (b to determine which restaurant attributes had a significant relationship with customers’ expectations and experiences. The questionnaire was based on Markovic, Raspor and Markovic’s (2010 research. In order to meet the surveys’ goals, correlation coefficient and regression analysis were conducted. The results of correlation coefficient reveal that all three restaurant attributes had a significant correlation (p<0.05 with expectations. The strongest correlation with expectations was service (r=0.76. Customers’ experiences showed that all the attributes had a weak to moderate (r≤0.5 positive correlation with customers’ experiences. The strongest correlation with experiences was food (r=0.54. The first regression model showed that all three dining attributes were significantly related (p<0.05 to customers’ expectations. The level of service (t=10.73 was rated as the most important attribute for expectations. The second regression model showed that all three dining attributes were significantly related (p<0.05 to experiences. The second model indicated that respondents rated food (t=7.51 as the most important attribute for experience. The results reveal that although good food is an essential component for customers’ experiences, however, the level of service plays a pivotal role for customers’ expectations in formal full service restaurants.

Primary progressive apraxia of speech: clinical features and acoustic and neurologic correlates.

Science.gov (United States)

Duffy, Joseph R; Strand, Edythe A; Clark, Heather; Machulda, Mary; Whitwell, Jennifer L; Josephs, Keith A

2015-05-01

This study summarizes 2 illustrative cases of a neurodegenerative speech disorder, primary progressive apraxia of speech (AOS), as a vehicle for providing an overview of the disorder and an approach to describing and quantifying its perceptual features and some of its temporal acoustic attributes. Two individuals with primary progressive AOS underwent speech-language and neurologic evaluations on 2 occasions, ranging from 2.0 to 7.5 years postonset. Performance on several tests, tasks, and rating scales, as well as several acoustic measures, were compared over time within and between cases. Acoustic measures were compared with performance of control speakers. Both patients initially presented with AOS as the only or predominant sign of disease and without aphasia or dysarthria. The presenting features and temporal progression were captured in an AOS Rating Scale, an Articulation Error Score, and temporal acoustic measures of utterance duration, syllable rates per second, rates of speechlike alternating motion and sequential motion, and a pairwise variability index measure. AOS can be the predominant manifestation of neurodegenerative disease. Clinical ratings of its attributes and acoustic measures of some of its temporal characteristics can support its diagnosis and help quantify its salient characteristics and progression over time.

Residents’ Perceptions of Walkability Attributes in Mainland China: Reliability and Validity

Science.gov (United States)

Ye, Yang; Fei, Teng; Mei, Hongyuan

2017-12-01

To test the influence of urban built environment on walkability in mainland Chinese cities, this study developed a questionnaire to perceive the residents’ perception of walkability around their neighborhood, which was based on the Neighborhood Environment Walkability Scale-Abbreviated (NEWS-A), and modified to reflect the characteristics of mainland Chinese built environment and people’s behavior mode. To perceive the final version of Neighborhood Environment Walkability Scale for Mainland China (NEWS-MC), We made a pilot study which include 50 samples, then interview 350 residents from 4 selected residential districts in Harbin which were different in walkability attributes and economic status. The final version of the NEWS-MC included 8 subscales and 5 single items (81 items in total). Test-retest reliability showed moderate to high except 1 subscale. In total, the NEWS-MC could illustrate residents’ perceptions of walkability attributes in mainland Chinese cities and could be use in other Chinese urban attributes studies related to walking.

An Attributional Analysis of Reactions to Negative Emotions.

Science.gov (United States)

Karasawa, Kaori

1995-01-01

Three studies examined observers' attributions and reactions to negative emotional displays, as well as expressers' expectations about others' reactions. Analysis revealed that people attribute others' negative emotions equally to situational factors and dispositions, whereas their own emotions are attributed to the situation more than to…

Verification of classified fissile material using unclassified attributes

International Nuclear Information System (INIS)

Nicholas, N.J.; Fearey, B.L.; Puckett, J.M.; Tape, J.W.

1998-01-01

This paper reports on the most recent efforts of US technical experts to explore verification by IAEA of unclassified attributes of classified excess fissile material. Two propositions are discussed: (1) that multiple unclassified attributes could be declared by the host nation and then verified (and reverified) by the IAEA in order to provide confidence in that declaration of a classified (or unclassified) inventory while protecting classified or sensitive information; and (2) that attributes could be measured, remeasured, or monitored to provide continuity of knowledge in a nonintrusive and unclassified manner. They believe attributes should relate to characteristics of excess weapons materials and should be verifiable and authenticatable with methods usable by IAEA inspectors. Further, attributes (along with the methods to measure them) must not reveal any classified information. The approach that the authors have taken is as follows: (1) assume certain attributes of classified excess material, (2) identify passive signatures, (3) determine range of applicable measurement physics, (4) develop a set of criteria to assess and select measurement technologies, (5) select existing instrumentation for proof-of-principle measurements and demonstration, and (6) develop and design information barriers to protect classified information. While the attribute verification concepts and measurements discussed in this paper appear promising, neither the attribute verification approach nor the measurement technologies have been fully developed, tested, and evaluated

The effect of attribute order on judgment in Chinese and English.

Science.gov (United States)

Tavassoli, Nader T; Lee, Yih Hwai

2004-12-01

The authors found that the order of attribute presentation had a stronger effect on judgment in English than in Chinese. In Experiment 1, with a sample of 102 female and 63 male bilingual Singaporeans, the authors found that participants' memory-based judgments showed a stronger primacy effect in English than in Chinese that was mediated by recall from long-term memory. In contrast, participants' online (immediate) judgments showed a primacy effect in both languages that was unmediated by recall from short-term memory. In Experiment 2, with a sample of 67 female and 53 male bilingual Singaporeans, the authors found that participants' online judgments were more influenced by the attribute order of a previously seen competitive advertisement in English than in Chinese. A cross-cultural field study in Mainland China and the United Kingdom provided external validity for the experimental results. copyright (c) 2004 APA, all rights reserved.

Simple Multi-Authority Attribute-Based Encryption for Short Messages

OpenAIRE

Viktoria I. Villanyi

2016-01-01

Central authority free multi-authority attribute based encryption scheme for short messages will be presented. Several multi-authority attribute based encryption schemes were recently proposed. We can divide these schemes into two groups, one of them are the ciphertext-policy attribute based encryption schemes (CP-ABE), the another one are the key-policy attribute based encryption schemes (KP-ABE). In our new multi-authority attribute based encryption scheme we combine them: the access struct...

Linearly Ordered Attribute Grammar Scheduling Using SAT-Solving

NARCIS (Netherlands)

Bransen, Jeroen; van Binsbergen, L.Thomas; Claessen, Koen; Dijkstra, Atze

2015-01-01

Many computations over trees can be specified using attribute grammars. Compilers for attribute grammars need to find an evaluation order (or schedule) in order to generate efficient code. For the class of linearly ordered attribute grammars such a schedule can be found statically, but this problem

Feature selection model based on clustering and ranking in pipeline for microarray data

Directory of Open Access Journals (Sweden)

Barnali Sahu

2017-01-01

Full Text Available Most of the available feature selection techniques in the literature are classifier bound. It means a group of features tied to the performance of a specific classifier as applied in wrapper and hybrid approach. Our objective in this study is to select a set of generic features not tied to any classifier based on the proposed framework. This framework uses attribute clustering and feature ranking techniques in pipeline in order to remove redundant features. On each uncovered cluster, signal-to-noise ratio, t-statistics and significance analysis of microarray are independently applied to select the top ranked features. Both filter and evolutionary wrapper approaches have been considered for feature selection and the data set with selected features are given to ensemble of predefined statistically different classifiers. The class labels of the test data are determined using majority voting technique. Moreover, with the aforesaid objectives, this paper focuses on obtaining a stable result out of various classification models. Further, a comparative analysis has been performed to study the classification accuracy and computational time of the current approach and evolutionary wrapper techniques. It gives a better insight into the features and further enhancing the classification accuracy with less computational time.

Cancers Attributable to Alcohol Consumption in Nigeria: 2012–2014

Directory of Open Access Journals (Sweden)

Michael Kolawole Odutola

2017-08-01

Full Text Available IntroductionAlcohol consumption has been identified as a risk factor for many cancers but less attention has been paid to the fraction of those cancers that are attributable to alcohol consumption. In this study, we evaluated the incidence and population attributable fraction (PAF of cancers associated with alcohol consumption in Nigeria.MethodsWe obtained data on incidence of cancers from two population-based cancer registries (PBCRs in Nigeria and identified cancer sites for which there is strong evidence of an association with alcohol consumption based on the International Agency for Research on Cancer Monograph 100E. We computed the PAF for each cancer site by age and sex, using prevalence and relative risk estimates from previous studies.ResultsBetween 2012 and 2014 study period, the PBCRs reported 4,336 cancer cases of which 1,627 occurred in males, and 2,709 occurred in females. Of these, a total of 1,808 cancer cases, 339 in males and 1,469 in females, were associated with alcohol intake. The age standardized incidence rate (ASR of alcohol associated cancers was 77.3 per 100,000. Only 4.3% (186/4,336 of all cancer cases or 10.3% (186/1,808 of alcohol associated cancers were attributable to alcohol consumption. Some 42.5% (79/186 of these cancers occurred in males while 57.5% (107/186 occurred in females. The ASR of cancers attributable to alcohol in this population was 7.2 per 100,000. The commonest cancers attributable to alcohol consumption were cancers of the oral cavity and pharynx in men and cancer of the breast in women.ConclusionOur study shows that 4.3% of incident cancers in Nigeria can be prevented by avoiding alcohol consumption. While the incidence of cancers associated with alcohol intake is high, the proportion attributable to alcohol consumption is much lower suggesting that the number of cancers that may be prevented by eliminating alcohol intake in this population is relatively low.

Classification and methodical features of fitness and wellness facilities

Directory of Open Access Journals (Sweden)

Yu. I. Beliak

2014-11-01

Full Text Available Purpose : health and fitness use a large arsenal of different sports and physical activity. Development of fitness industry promotes its expansion and requires classification and methodological features that lead to the use of appropriate fitness programs. Material : more than 60 literature and video of 42 prestigious international fitness - conventions lessons were analyzed. Results : the evolution of species fitness and wellness, as well as the character used in those funds. Conclusions : as a means of improving classification attribute fitness appropriate to use their orientation, according to which they are divided into aerobic, strength exercises that promote flexibility and psychomotor coordination. The main methodological features fitness facilities are highlighted: the variety and interchangeability, clear regulation, the ability to transform, to exercise a selective effect on the body, the ability to solve a wide range of tasks, innovation.

Mediated Ciphertext-Policy Attribute-Based Encryption and Its Application

NARCIS (Netherlands)

Ibraimi, L.; Petkovic, M.; Nikova, S.I.; Hartel, Pieter H.; Jonker, Willem; Youm, Heung Youl; Yung, Moti

2009-01-01

In Ciphertext-Policy Attribute-Based Encryption (CP-ABE), a user secret key is associated with a set of attributes, and the ciphertext is associated with an access policy over attributes. The user can decrypt the ciphertext if and only if the attribute set of his secret key satisfies the access

Characteristics of a Sensitive Well Showing Pre-Earthquake Water-Level Changes

Science.gov (United States)

King, Chi-Yu

2018-04-01

Water-level data recorded at a sensitive well next to a fault in central Japan between 1989 and 1998 showed many coseismic water-level drops and a large (60 cm) and long (6-month) pre-earthquake drop before a rare local earthquake of magnitude 5.8 on 17 March 1997, as well as 5 smaller pre-earthquake drops during a 7-year period prior to this earthquake. The pre-earthquake changes were previously attributed to leakage through the fault-gouge zone caused by small but broad-scaled crustal-stress increments. These increments now seem to be induced by some large slow-slip events. The coseismic changes are attributed to seismic shaking-induced fissures in the adjacent aquitards, in addition to leakage through the fault. The well's high-sensitivity is attributed to its tapping a highly permeable aquifer, which is connected to the fractured side of the fault, and its near-critical condition for leakage, especially during the 7 years before the magnitude 5.8 earthquake.

Development and Validation of the Poverty Attributions Survey

Science.gov (United States)

Bennett, Robert M.; Raiz, Lisa; Davis, Tamara S.

2016-01-01

This article describes the process of developing and testing the Poverty Attribution Survey (PAS), a measure of poverty attributions. The PAS is theory based and includes original items as well as items from previously tested poverty attribution instruments. The PAS was electronically administered to a sample of state-licensed professional social…

Online feature selection with streaming features.

Science.gov (United States)

Wu, Xindong; Yu, Kui; Ding, Wei; Wang, Hao; Zhu, Xingquan

2013-05-01

We propose a new online feature selection framework for applications with streaming features where the knowledge of the full feature space is unknown in advance. We define streaming features as features that flow in one by one over time whereas the number of training examples remains fixed. This is in contrast with traditional online learning methods that only deal with sequentially added observations, with little attention being paid to streaming features. The critical challenges for Online Streaming Feature Selection (OSFS) include 1) the continuous growth of feature volumes over time, 2) a large feature space, possibly of unknown or infinite size, and 3) the unavailability of the entire feature set before learning starts. In the paper, we present a novel Online Streaming Feature Selection method to select strongly relevant and nonredundant features on the fly. An efficient Fast-OSFS algorithm is proposed to improve feature selection performance. The proposed algorithms are evaluated extensively on high-dimensional datasets and also with a real-world case study on impact crater detection. Experimental results demonstrate that the algorithms achieve better compactness and higher prediction accuracy than existing streaming feature selection algorithms.

The Congenital Heart Surgeons Society Datacenter: unique attributes as a research organization.

Science.gov (United States)

Caldarone, Christopher A; Williams, William G

2010-01-01

Over the last 25 years, the Congenital Heart Surgeons Society (CHSS) has evolved from an informal club to a mature organization. A central feature of the CHSS has been dedication to evaluating outcomes of congenital heart surgery across a wide array of clinical diagnoses. These research activities have been orchestrated through the CHSS Datacenter, which has developed a unique organizational structure that has strengths and weaknesses in comparison to other research organizational structures (e.g., prospective randomized trials, registries, etc). This review will highlight the unique attributes of the CHSS Datacenter with emphasis on the Datacenter's strengths and weaknesses in comparison to other organizational structures. Copyright (c) 2010 Elsevier Inc. All rights reserved.

Diffusive Barrier and Getter Under Waste Packages VA Reference Design Feature Evaluations

International Nuclear Information System (INIS)

MacNeil, K.

1999-01-01

This technical document evaluates those aspects of the diffusive barrier and getter features which have the potential for enhancing the performance of the Viability Assessment Reference Design and are also directly related to the key attributes for the repository safety strategy of that design. The effects of advection, hydrodynamic dispersion, and diffusion on the radionuclide migration rates through the diffusive barrier were determined through the application of the one-dimensional, advection/dispersion/diffusion equation. The results showed that because advective flow described by the advection-dispersion equation dominates, the diffusive barrier feature alone would not be effective in retarding migration of radiocuclides. However, if the diffusive barrier were combined with one or more features that reduced the potential for advection, then transport of radionuclides would be dominated by diffusion and their migration from the EBS would be impeded. Apatite was chosen as the getter material used for this report. Two getter configurations were developed, Case 1 and Case 2. As in the evaluation of the diffusive barrier, the effects of advection, hydrodynamic dispersion, and diffusion on the migration of radionuclides through the getter are evaluated. However, in addition to these mechanisms, the one-dimensional advection/dispersion/diffusion model is modified to include the effect of sorption on radionuclide migration rates through the sorptive medium (getter). As a result of sorption, the longitudinal dispersion coefficient, and the average linear velocity are effectively reduced by the retardation factor. The retardation factor is a function of the getter material's dry bulk density, sorption coefficient and moisture content. The results of the evaluation showed that a significant delay in breakthrough through the getter can be achieved if the thickness of the getter barrier is increased

Quality Attribute Design Primitives

National Research Council Canada - National Science Library

Bass, Len

2000-01-01

This report focuses on the quality attribute aspects of mechanisms. An architectural mechanism is a 'structure whereby objects collaborate to provide some behavior that satisfies a requirement of the problem...

Catheter Associated Urinary Tract Infection Based on Surveillance Attributes in RSU Haji Surabaya

Directory of Open Access Journals (Sweden)

Spica Redina Vebrilian

2017-03-01

Full Text Available Surveillance system is instrumental in reducing the incidence of nosocomial infection. The implementation of this surveillance system is necessary in the hospital. Surveillance CAUTI is one of the focus prevention and infection control program in RSU Haji Surabaya 2015. The success of surveillance system highly depends on the association of attributes inside it. Surveillance attributes are indicator that describes the characteristics ofsurveillance system. In 2015, there was a delay in the collection of data reports which exceeds the prescribed time limit and there was also a lot of blank space in the confi rmation sheet. It affects the surveillance system in RSU Haji Surabaya. The purpose of this research is to evaluate the surveillance CAUTI based on the surveillance attributes in RSU Haji Surabaya2015. This research is a descriptive evaluative research. Subjects in this study are the surveillance attributes (simplicity, flexibility, acceptability, sensitivity, positive predictive value, representativeness, timeliness, data quality, and stability CAUTI in RSU Haji Surabaya, while survey respondents are IPCN, IPCLN, and head nurse. Data collected by interview and documentation study. The results showed that the attributes of surveillance is already has simplicity, high acceptability, high sensitivity, high positive predictive value, representative, and high stability. However, other attributes were not fl exible, not timeliness, and has a low data quality. Alternative solutions that can be done are to improve the regulatory function in every unit, establish standardization of hospital data, and manage reward and punishment system. Keywords: surveillance system, surveillance attributes, evaluation, nosocomial infections, CAUTI

Attributional style in fist episode of schizophrenia and schizophrenia spectrum disorders with and without paranoid ideation.

Science.gov (United States)

Zaytseva, Yulia; Burova, Vitalina; Garakh, Zanna; Gurovich, Isaac Ya

2013-09-01

In the present study we evaluated attributional style which refers to how individuals explain the causes for positive and negative events in their lives in patients with first episode of schizophrenia with and without paranoid ideation. 43 patients with first episode of psychosis and 37 matched normal controls completed Ambiguous Intentions Hostility Questionnaire (AIHQ) (Combs et al. 2007). Between group comparison of AIHQ scores showed a notable tendency to show aggressive response in overall patients group. We obtained significant elevation of hostility and blame biases scores in intentional and accidental situations in patients with paranoid ideation while the patients with non-paranoid ideation showed greater hostility and blame biases only in accidental situations as compared to controls. Correlations with positive and negative symptoms were obtained. Our findings suggest that patients with first episode of psychosis exhibit difficulties of the attribution biases which are interconnected with symptoms and thus indicate a trait-deficit of attributional style.

Understanding Legacy Features with Featureous

DEFF Research Database (Denmark)

Olszak, Andrzej; Jørgensen, Bo Nørregaard

2011-01-01

Java programs called Featureous that addresses this issue. Featureous allows a programmer to easily establish feature-code traceability links and to analyze their characteristics using a number of visualizations. Featureous is an extension to the NetBeans IDE, and can itself be extended by third...

Bayesian Source Attribution of Salmonellosis in South Australia.

Science.gov (United States)

Glass, K; Fearnley, E; Hocking, H; Raupach, J; Veitch, M; Ford, L; Kirk, M D

2016-03-01

Salmonellosis is a significant cause of foodborne gastroenteritis in Australia, and rates of illness have increased over recent years. We adopt a Bayesian source attribution model to estimate the contribution of different animal reservoirs to illness due to Salmonella spp. in South Australia between 2000 and 2010, together with 95% credible intervals (CrI). We excluded known travel associated cases and those of rare subtypes (fewer than 20 human cases or fewer than 10 isolates from included sources over the 11-year period), and the remaining 76% of cases were classified as sporadic or outbreak associated. Source-related parameters were included to allow for different handling and consumption practices. We attributed 35% (95% CrI: 20-49) of sporadic cases to chicken meat and 37% (95% CrI: 23-53) of sporadic cases to eggs. Of outbreak-related cases, 33% (95% CrI: 20-62) were attributed to chicken meat and 59% (95% CrI: 29-75) to eggs. A comparison of alternative model assumptions indicated that biases due to possible clustering of samples from sources had relatively minor effects on these estimates. Analysis of source-related parameters showed higher risk of illness from contaminated eggs than from contaminated chicken meat, suggesting that consumption and handling practices potentially play a bigger role in illness due to eggs, considering low Salmonella prevalence on eggs. Our results strengthen the evidence that eggs and chicken meat are important vehicles for salmonellosis in South Australia. © 2015 Society for Risk Analysis.

Addressing scalability while feature requests persist. A look at NASA Worldview's new features and their implementation.

Science.gov (United States)

King, B. A.

2017-12-01

Worldview is a high-traffic web mapping application created using the JavaScript mapping library, OpenLayers. This presentation will primarily focus on three new features: A wrapping component that seamlessly shows satellite imagery over the dateline where most maps either stop or wrap the imagery of the same date. An animation feature that allows users to select date ranges over which they can animate. An A/B comparison feature that gives users the power to compare imagery between dates and layers. In response to an increasingly large codebase caused by ongoing feature requests, Worldview is transitioning to a smaller core codebase comprised of external reusable modules. When creating a module with the intention of having someone else reuse it for a different task, one inherently starts generating code that is easier to read and easier to maintain. This presentation will show demos of these features and cover development techniques used to create them.

Safety significance of ATR passive safety response attributes

International Nuclear Information System (INIS)

Atkinson, S.A.

1990-01-01

The Advanced Test Reactor (ATR) at the Idaho National Engineering Laboratory was designed with some passive safety response attributes which contribute to the safety of the facility. The three passive safety attributes being evaluated in the paper are: 1) In-core and in-vessel natural convection cooling, 2) a passive heat sink capability of the ATR primary coolant system (PCS) for the transfer of decay power from the uninsulated piping to the confinement, and 3) gravity feed of emergency coolant makeup. The safety significance of the ATR passive safety response attributes is that the reactor can passively respond to most transients, given a reactor scram, to provide adequate decay power removal and a significant time for operator action should the normal active heat removal systems and their backup systems both fail. The ATR Interim Level 1 Probabilistic Risk Assessment (PRA) models and results were used to evaluate the significance to ATR fuel damage frequency (or probability) of the above three passive response attributes. The results of the evaluation indicate that the first attribute is a major safety characteristic of the ATR. The second attribute has a noticeable but only minor safety significance. The third attribute has no significant influence on the ATR firewater injection system (emergency coolant system)

Attributes of ethical employees in Malaysian public sector ...

African Journals Online (AJOL)

This study aims to explore the attributes of ethical employees in public sector and to pattern match the attributes with human behavior, social and ethics theories. A qualitative research is used by focusing on first-order attributes (through interviews) and second-order concepts (using theories to explain the facts). This study ...

Measuring diversity in medical reports based on categorized attributes and international classification systems

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

Biological and microbiological attributes in Oxisol managed with cover crops

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Rodrigo Ferreira da Silva

2017-05-01

Full Text Available The inclusion of winter cover crops and fertilization with nitrogen to the soil can have an effect on their biological and microbiological attributes. The aim of this study was to evaluate biological and microbiological attributes in soil under different winter cover crops and nitrogen doses. The experiment was conducted at the Frederico Westphalen-RS campus of the Federal University of Santa Maria (UFSM in a Rhodic Hapludox soil. The experimental design was a randomized block in factorial arrangement (2 x 10: 10 winter cover crops systems (Fallow [control], black oats, white oats, ryegrass, forage turnip, vetch, white lupine; black oat + forage turnip; black oat + vetch and black oat + vetch + fodder turnip, and two nitrogen rates in the form of urea applied in successive crops of beans common and maize, with four replications. We assessed the biological attributes (Margalef’s richness, Simpson’s dominance, Shannon’s diversity and abundance of organisms and microbiological (carbon and nitrogen microbial biomass, basal respiration, metabolic quotient and microbial quotient of the soil. The fallow with wild species and white lupine showed greater Simpson’s dominance and abundance of organisms due to the increase in the number of individuals of the order Collembola. Vetch improved the biological attributes of the soil with increase in Collembola abundance and diversity of organisms of soil fauna. The application of nitrogen favored the microbial biomass carbon and reduced the metabolic quotient.

Detection and attribution of nitrogen runoff trend in China's croplands.

Science.gov (United States)

Hou, Xikang; Zhan, Xiaoying; Zhou, Feng; Yan, Xiaoyuan; Gu, Baojing; Reis, Stefan; Wu, Yali; Liu, Hongbin; Piao, Shilong; Tang, Yanhong

2018-03-01

Reliable detection and attribution of changes in nitrogen (N) runoff from croplands are essential for designing efficient, sustainable N management strategies for future. Despite the recognition that excess N runoff poses a risk of aquatic eutrophication, large-scale, spatially detailed N runoff trends and their drivers remain poorly understood in China. Based on data comprising 535 site-years from 100 sites across China's croplands, we developed a data-driven upscaling model and a new simplified attribution approach to detect and attribute N runoff trends during the period of 1990-2012. Our results show that N runoff has increased by 46% for rice paddy fields and 31% for upland areas since 1990. However, we acknowledge that the upscaling model is subject to large uncertainties (20% and 40% as coefficient of variation of N runoff, respectively). At national scale, increased fertilizer application was identified as the most likely driver of the N runoff trend, while decreased irrigation levels offset to some extent the impact of fertilization increases. In southern China, the increasing trend of upland N runoff can be attributed to the growth in N runoff rates. Our results suggested that increased SOM led to the N runoff rate growth for uplands, but led to a decline for rice paddy fields. In combination, these results imply that improving management approaches for both N fertilizer use and irrigation is urgently required for mitigating agricultural N runoff in China. Copyright © 2017 Elsevier Ltd. All rights reserved.

Crucial contextual attributes of nursing leadership towards a care ethics.

Science.gov (United States)

Gustafsson, Lena-Karin; Stenberg, Maja

2017-06-01

It is of importance to understand and communicate caring ethics as a ground for qualitative caring environments. Research is needed on nursing attributes that are visible in nursing leadership since it may give bases for reflections related to the patterns of specific contexts. The aim of this study was to illuminate the meaning of crucial attributes in nursing leadership toward an ethical care of patients in psychiatric in-patient settings. The design of the study was descriptive and qualitative with a phenomenological hermeneutical approach. Participants and research context: The study comprised focus group interviews with nurses working in indoor psychiatric care who participated after giving informed consent. Ethical considerations: Since the topic and informants are not labeled as sensitive and subject to ethical approval, it is not covered by the ethics committee's aim and purpose according to Swedish law. However, careful procedures have been followed according to ethics expressed in the Declaration of Helsinki. When identifying the thematic structures, analysis resulted in three major themes: To supply, including the following aspects: to supply evidence, to supply common space, and to supply good structures; To support, including the following aspects: to be a role model, to show appreciation and care, and to harbor; To shield, including the following aspects: to advocate, to emit non-tolerance of unethical behavior, and to reprove. Leadership is challenging for nurses and plays an important role in ethical qualitative care. These findings should not be understood as a description about nurse manager's role, which probably has different attributes and more focus on an organizational level. Making the understanding about crucial attributes explicit, the nurse may receive confirmation and recognition of crucial attributes for ethical care in order to move toward an ethical care.

Accuracy Evaluation of C4.5 and Naive Bayes Classifiers Using Attribute Ranking Method

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S. Sivakumari

2009-03-01

Full Text Available This paper intends to classify the Ljubljana Breast Cancer dataset using C4.5 Decision Tree and Nai?ve Bayes classifiers. In this work, classification is carriedout using two methods. In the first method, dataset is analysed using all the attributes in the dataset. In the second method, attributes are ranked using information gain ranking technique and only the high ranked attributes are used to build the classification model. We are evaluating the results of C4.5 Decision Tree and Nai?ve Bayes classifiers in terms of classifier accuracy for various folds of cross validation. Our results show that both the classifiers achieve good accuracy on the dataset.

Assessing Consumer Emotional Responses in the Presence and Absence of Critical Quality Attributes: A Case Study with Chicken Eggs.

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Wardy, Wisdom; Sae-Eaw, Amporn; Sriwattana, Sujinda; No, Hong Kyoon; Prinyawiwatkul, Witoon

2015-07-01

offer valuable insights for differentiation of competing or otherwise similar products. Affective consumer responses to food products with varying sensory and quality attributes are influenced by several factors including psychographics, demographics, product category, and test design. In this study, a scenario is depicted where product developers can identify critical product features based on emotional assessment of products with and without quality attributes. This study is beneficial to product developers and the egg industry, as it identifies opportunities to better understand consumer needs, thereby, designing products destined for success in the marketplace. © 2015 Institute of Food Technologists®

Growth attributes – closing the GAP in Family-SMEs

DEFF Research Database (Denmark)

Brink, Tove; Neville, Mette

-sized Enterprises (SMEs)” to enhance the growth opportunities present in the EU SMEs. Most initiatives focus on creating better framework conditions for SMEs. However, research shows that growth is hampered by a number of internal factors. Many SMEs often lack the important internal attributes for growth pointed...... out in theory and empirical studies, which means that there is a gap between theory and practice when it comes to growth attributes in SMEs. This paper provides an enhanced understanding of whether gap-filling between theory and practice in family-SMEs is possible and whether gap-filling will actually...... stimulate growth. The findings are based on a large-scale research project involving 24 Danish family-SMEs, which completed a learning and development process over a period of three years. The aim of the project was to examine whether such a process which focused on a combination of some of the most...

Analysis of information quality attribute for SME towards adoption of research result

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Febriani, E.; Dewobroto, W. S.; Anggraini, R. D.

2017-12-01

Small and Medium Enterprises (SME) holds significant role in fostering Indonesian economy. However, the research that is supposed to support the development of SMEs business has not yet fully adopted or utilized. Information attributes may be used as the benchmark to find the intention of SMEs from a research result and develop the strategy of quality information for all organizations both SMEs and the researcher. Therefore, because of the importance of information quality attribute required by SMEs, the research aims to analyses the information quality required by SMEs to clarify the information quality into the dimension of information quality. The research was started by distributing online questionnaire to SMEs. The questionnaire result showed that the content dimension is the most aspect required by SMEs, followed by time and form dimension, respectively. Quality information attribute required by SMEs from a research is that the result may be applied to the business.

7-11-year-old children show an advantage for matching and recognizing the internal features of familiar faces: evidence against a developmental shift.

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Bonner, Lesley; Burton, Mike

2004-08-01

Adults are better at recognizing familiar faces from the internal facial features (eyes, nose, mouth) than from the external facial features (hair, face outline). However, previous research suggests that this "internal advantage" does not appear until relatively late in childhood, and some studies suggest that children rely on external features to recognize all faces, whether familiar or not. We use a matching task to examine face processing in 7-8- and 10-11-year-old children. We use a design in which all face stimuli can be used as familiar items (for participants who are classmates) and unfamiliar items (for participants from a different school). Using this design, we find an internal feature advantage for matching familiar faces, for both groups of children. The same children were then shown the external and internal features of their classmates and were asked to name or otherwise identify them. Again, both age groups identified more of their classmates correctly from the internal than the external features. This is the first time an internal advantage has been reported in this age group. Results suggest that children as young as 7 process faces in the same way as do adults, and that once procedural difficulties are overcome, the standard effects of familiarity are observed.

Tracking subtle stereotypes of children with trisomy 21: from facial-feature-based to implicit stereotyping.

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Claire Enea-Drapeau

Full Text Available BACKGROUND: Stigmatization is one of the greatest obstacles to the successful integration of people with Trisomy 21 (T21 or Down syndrome, the most frequent genetic disorder associated with intellectual disability. Research on attitudes and stereotypes toward these people still focuses on explicit measures subjected to social-desirability biases, and neglects how variability in facial stigmata influences attitudes and stereotyping. METHODOLOGY/PRINCIPAL FINDINGS: The participants were 165 adults including 55 young adult students, 55 non-student adults, and 55 professional caregivers working with intellectually disabled persons. They were faced with implicit association tests (IAT, a well-known technique whereby response latency is used to capture the relative strength with which some groups of people--here photographed faces of typically developing children and children with T21--are automatically (without conscious awareness associated with positive versus negative attributes in memory. Each participant also rated the same photographed faces (consciously accessible evaluations. We provide the first evidence that the positive bias typically found in explicit judgments of children with T21 is smaller for those whose facial features are highly characteristic of this disorder, compared to their counterparts with less distinctive features and to typically developing children. We also show that this bias can coexist with negative evaluations at the implicit level (with large effect sizes, even among professional caregivers. CONCLUSION: These findings support recent models of feature-based stereotyping, and more importantly show how crucial it is to go beyond explicit evaluations to estimate the true extent of stigmatization of intellectually disabled people.

Main attributes influencing spent nuclear fuel management

International Nuclear Information System (INIS)

Andreescu, N.; Ohai, D.

1997-01-01

All activities regarding nuclear fuel, following its discharge from the NPP, constitute the spent fuel management and are grouped in two possible back end variants, namely reprocessing (including HLW vitrification and geological disposal) and direct disposal of spent fuel. In order to select the appropriate variant it is necessary to analyse the aggregate fulfillment of the imposed requirements, particularly of the derived attributes, defined as distinguishing characteristics of the factors used in the decision making process. The main identified attributes are the following: - environmental impact, - availability of suitable sites, - non-proliferation degree, -strategy of energy, - technological complexity and technical maturity, -possible further technical improvements, - size of nuclear programme, - total costs, - public acceptance, - peculiarity of CANDU fuel. The significance of the attributes in the Romanian case, taking into consideration the present situation, as a low scenario and a high scenario corresponding to an important development of the nuclear power, after the year 2010, is presented. According to their importance the ranking of attributes is proposed . Subsequently, the ranking could be used for adequate weighing of attributes in order to realize a multi-criteria analysis and a relevant comparison of back end variants. (authors)

Extreme Weather Events and Climate Change Attribution

Energy Technology Data Exchange (ETDEWEB)

Thomas, Katherine [National Academy of Sciences, Washington, DC (United States)

2016-03-31

A report from the National Academies of Sciences, Engineering, and Medicine concludes it is now possible to estimate the influence of climate change on some types of extreme events. The science of extreme event attribution has advanced rapidly in recent years, giving new insight to the ways that human-caused climate change can influence the magnitude or frequency of some extreme weather events. This report examines the current state of science of extreme weather attribution, and identifies ways to move the science forward to improve attribution capabilities. Confidence is strongest in attributing types of extreme events that are influenced by climate change through a well-understood physical mechanism, such as, the more frequent heat waves that are closely connected to human-caused global temperature increases, the report finds. Confidence is lower for other types of events, such as hurricanes, whose relationship to climate change is more complex and less understood at present. For any extreme event, the results of attribution studies hinge on how questions about the event's causes are posed, and on the data, modeling approaches, and statistical tools chosen for the analysis.

Climate Central World Weather Attribution (WWA) project: Real-time extreme weather event attribution analysis

Science.gov (United States)

Haustein, Karsten; Otto, Friederike; Uhe, Peter; Allen, Myles; Cullen, Heidi

2015-04-01

from a variety of CMIP5 model ensembles. Here, we present results for the UK 2013/14 winter floods as proof of concept and we show validation and testing results that demonstrate the robustness of our method. We also revisit the record temperatures over Europe in 2014 and present a detailed analysis of this attribution exercise as it is one of the events to demonstrate that we can make a sensible statement of how the odds for such a year to occur have changed while it still unfolds.

Uncertain multi-attribute decision making methods and applications

CERN Document Server

Xu, Zeshui

2015-01-01

This book introduces methods for uncertain multi-attribute decision making including uncertain multi-attribute group decision making and their applications to supply chain management, investment decision making, personnel assessment, redesigning products, maintenance services, military system efficiency evaluation. Multi-attribute decision making, also known as multi-objective decision making with finite alternatives, is an important component of modern decision science. The theory and methods of multi-attribute decision making have been extensively applied in engineering, economics, management and military contexts, such as venture capital project evaluation, facility location, bidding, development ranking of industrial sectors and so on. Over the last few decades, great attention has been paid to research on multi-attribute decision making in uncertain settings, due to the increasing complexity and uncertainty of supposedly objective aspects and the fuzziness of human thought. This book can be used as a ref...

Real-time hostile attribution measurement and aggression in children.

Science.gov (United States)

Yaros, Anna; Lochman, John E; Rosenbaum, Jill; Jimenez-Camargo, Luis Alberto

2014-01-01

Hostile attributions are an important predictor of aggression in children, but few studies have measured hostile attributions as they occur in real-time. The current study uses an interactive video racing game to measure hostile attributions while children played against a presumed peer. A sample of 75 children, ages 10-13, used nonverbal and verbal procedures to respond to ambiguous provocation by their opponent. Hostile attributions were significantly positively related to parent-rated reactive aggression, when controlling for proactive aggression. Hostile attributions using a nonverbal response procedure were negatively related to proactive aggression, when controlling for reactive aggression. Results suggest hostile attributions in real-time occur quickly and simultaneously with social interaction, which differs from the deliberative, controlled appraisals measured with vignette-based instruments. The relation between real-time hostile attributions and reactive aggression could be accounted for by the impulsive response style that is characteristic of reactive aggression, whereas children exhibiting proactive aggression may be more deliberate and intentional in their responding, resulting in a negative relation with real-time hostile attributions. These findings can be used both to identify children at risk for aggression and to enhance preventive interventions. © 2014 Wiley Periodicals, Inc.

Mechanism of bystander-blaming: defensive attribution, counterfactual thinking, and gender.

Science.gov (United States)

Levy, Inna; Ben-David, Sarah

2015-01-01

Contemporary victimology recognizes that an understanding of the mechanism of blaming requires a comprehensive approach that includes the victim, the offender, and the bystander. However, most of the existing research on blaming focuses on the victim and the offender, ignoring the issue of bystander-blaming. This study highlights the bystander and investigates bystander-blaming by exploring some theoretical explanations, including counterfactual thinking, defensive attribution, and gender differences. The study included 363 young male and female participants, who read vignettes describing the behavior of the victim and the bystander in a rape scenario and answered questions regarding bystander-blaming. The results show that both counterfactual thinking and defensive attribution play a role in bystander-blaming. This article addresses the theoretical and practical implications of these findings. © The Author(s) 2013.

Social attribution in anorexia nervosa.

Science.gov (United States)

Oldershaw, Anna; DeJong, Hannah; Hambrook, David; Schmidt, Ulrike

2018-05-01

People with anorexia nervosa (AN) report socioemotional difficulties; however, measurement has been criticised for lacking ecological validity and the state or trait nature of difficulties remains unclear. Participants (n = 122) were recruited across 3 groups: people who are currently ill with AN (n = 40); people who recovered (RecAN, n = 18); healthy-control participants (n = 64). Participants completed clinical questionnaires and the Social Attribution Task. The Social Attribution Task involves describing an animation of moving shapes, scored for number of propositions offered, accuracy, and social relevance. Groups were compared cross-sectionally. Those with current AN were assessed prepsychological and postpsychological treatments. People with AN provided fewer propositions than other groups and fewer salient social attributions than healthy-control participants. Those who recovered scored intermediately and not significantly different from either group. Following treatment, people with AN demonstrated (nonsignificant) improvements, and no significance between group differences were observed. Findings suggest difficulties for people with AN in providing spontaneous social narrative and in identifying social salience. Copyright © 2018 John Wiley & Sons, Ltd and Eating Disorders Association.

Attribution of climate extreme events

Science.gov (United States)

Trenberth, Kevin E.; Fasullo, John T.; Shepherd, Theodore G.

2015-08-01

There is a tremendous desire to attribute causes to weather and climate events that is often challenging from a physical standpoint. Headlines attributing an event solely to either human-induced climate change or natural variability can be misleading when both are invariably in play. The conventional attribution framework struggles with dynamically driven extremes because of the small signal-to-noise ratios and often uncertain nature of the forced changes. Here, we suggest that a different framing is desirable, which asks why such extremes unfold the way they do. Specifically, we suggest that it is more useful to regard the extreme circulation regime or weather event as being largely unaffected by climate change, and question whether known changes in the climate system's thermodynamic state affected the impact of the particular event. Some examples briefly illustrated include 'snowmaggedon' in February 2010, superstorm Sandy in October 2012 and supertyphoon Haiyan in November 2013, and, in more detail, the Boulder floods of September 2013, all of which were influenced by high sea surface temperatures that had a discernible human component.

A Novel Relevance Feedback Approach Based on Similarity Measure Modification in an X-Ray Image Retrieval System Based on Fuzzy Representation Using Fuzzy Attributed Relational Graph

Directory of Open Access Journals (Sweden)

Hossien Pourghassem

2011-04-01

Full Text Available Relevance feedback approaches is used to improve the performance of content-based image retrieval systems. In this paper, a novel relevance feedback approach based on similarity measure modification in an X-ray image retrieval system based on fuzzy representation using fuzzy attributed relational graph (FARG is presented. In this approach, optimum weight of each feature in feature vector is calculated using similarity rate between query image and relevant and irrelevant images in user feedback. The calculated weight is used to tune fuzzy graph matching algorithm as a modifier parameter in similarity measure. The standard deviation of the retrieved image features is applied to calculate the optimum weight. The proposed image retrieval system uses a FARG for representation of images, a fuzzy matching graph algorithm as similarity measure and a semantic classifier based on merging scheme for determination of the search space in image database. To evaluate relevance feedback approach in the proposed system, a standard X-ray image database consisting of 10000 images in 57 classes is used. The improvement of the evaluation parameters shows proficiency and efficiency of the proposed system.

Packaging design as communicator of product attributes: Effects on consumers’ attribute inferences

NARCIS (Netherlands)

van Ooijen, I.

2016-01-01

This dissertation will focus on two types of attribute inferences that result from packaging design cues. First, the effects of product packaging design on quality related inferences are investigated. Second, the effects of product packaging design on healthiness related inferences are examined (See

The relationship between the self-esteem and employability attributes of postgraduate business management students

Directory of Open Access Journals (Sweden)

Ingrid Potgieter

2012-04-01

Research purpose: The objectives of the study were to determine the relationship between self-esteem (as the Culture Free Self-Esteem Inventory measures it and employability attributes (as the Employability Attributes Scale measures it; to determine whether people’s biographical details significantly predict their self-esteem and employability attributes; and whether men and women differ significantly in their self-esteem and employability attributes. Motivation for the study: There seems to be a paucity of studies that investigate how people’s self-esteem relates to their employability attributes in South Africa’s multi-cultural context. Research design, approach and method: The researcher conducted a quantitative survey on a convenience sample of 304 employed adults enrolled for an honours degree in business management in a higher education institution. She used correlational statistics, multiple regression analyses, categorical regressions and independent t-tests to analyse the data. Main findings: The researcher found a number of significant relationships between the participants’ self-esteem and employability. The results showed that biographical details significantly predicted participants’ employability attributes. Practical/managerial implications: Career counsellors and human resource practitioners need to recognise how people’s self-esteem and their biographical details influence their employability attributes. Contribution/value-add: The findings add to the literature on the skills, abilities and biographical information that influence employability and give valuable information that organisations can use during career development support and career counselling practices in the contemporary world of work.

Stylistic Features of Comment in Arabic Blogosphere

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Gabdulzyamil G. Zaynullin

2017-11-01

Full Text Available One of the most important issues in the study of the functioning of the Internet language is the definition of the features of each Internet genre presented in online communication, taking into account the linguocultural features of the language in question. This paper studies the genre of the Internet comments of the Arabic-speaking blogosphere and reveals its stylistic features. The most common goal of the comment is gratitude, followed by praise. We created a corpus of comments from blogs of various subjects, and then conducted the tagging, having identified the group to which we attributed a comment, depending on the subject and the communicative goal. With the help of the Lexico 3 software, the most frequent lexical units were identified, the lexical features of the comments were described, the main one being the widespread use of religionyms, and the relationship between the blog subject and the stylistic characteristics of communication was revealed. The article traces the correlation between the literary and colloquial functional style in the comments, and also draws a conclusion that the comments are of a conversational, informal character. The main devices of expressiveness that are characteristic for both network and pre-network communication were revealed, and the tendency of the analysts to observe in the comments a stable three-part composition (greeting, message, final formula. The influence of traditional Arabic rhetoric, as well as the epistolary genre, was preserved. The results of the paper can be used when studying other genres of Internet communication in Arabic and in comparative studies to create the linguistic software.

The self-attribution bias and paranormal beliefs

NARCIS (Netherlands)

van Elk, M.

The present study investigated the relation between paranormal beliefs, illusory control and the self-attribution bias, i.e., the motivated tendency to attribute positive outcomes to oneself while negative outcomes are externalized. Visitors of a psychic fair played a card guessing game and

The study of Relationship between Personality Attributes and Internet Consumer Behaviors in Iran

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Mohammad Ali Babai

2010-03-01

Full Text Available The overall purpose of this paper is to evaluate the effectiveness of personality attributes as predictors of consumer behavior in contrast to traditional demographic variables in the digital environment. New variables were needed to replace the traditional ones. This research evaluated three groups of consumer behaviors and examined personality and demographic variables. The primary data collected via questionnaire. The results of this research showed significant relationship between personality variables and online consumer behaviors of respondents and suggested that personality attributes were superior at predicting and segmenting online consumer behaviors.

Occupational safety management: the role of causal attribution.

Science.gov (United States)

Gyekye, Seth Ayim

2010-12-01

The paper addresses the causal attribution theory, an old and well-established theme in social psychology which denotes the everyday, commonsense explanations that people use to explain events and the world around them. The attribution paradigm is considered one of the most appropriate analytical tools for exploratory and descriptive studies in social psychology and organizational literature. It affords the possibility of describing accident processes as objectively as possible and with as much detail as possible. Causal explanations are vital to the formal analysis of workplace hazards and accidents, as they determine how organizations act to prevent accident recurrence. Accordingly, they are regarded as fundamental and prerequisite elements for safety management policies. The paper focuses primarily on the role of causal attributions in occupational and industrial accident analyses and implementation of safety interventions. It thus serves as a review of the contribution of attribution theory to occupational and industrial accidents. It comprises six sections. The first section presents an introduction to the classic attribution theories, and the second an account of the various ways in which the attribution paradigm has been applied in organizational settings. The third and fourth sections review the literature on causal attributions and demographic and organizational variables respectively. The sources of attributional biases in social psychology and how they manifest and are identified in the causal explanations for industrial and occupational accidents are treated in the fifth section. Finally, conclusion and recommendations are presented. The recommendations are particularly important for the reduction of workplace accidents and associated costs. The paper touches on the need for unbiased causal analyses, belief in the preventability of accidents, and the imperative role of management in occupational safety management.

Qualitative analysis of MTEM response using instantaneous attributes

Science.gov (United States)

Fayemi, Olalekan; Di, Qingyun

2017-11-01

This paper introduces new technique for qualitative analysis of multi-transient electromagnetic (MTEM) earth impulse response over complex geological structures. Instantaneous phase and frequency attributes were used in place of the conventional common offset section for improved qualitative interpretation of MTEM data by obtaining more detailed information from the earth impulse response. The instantaneous attributes were used to describe the lateral variation in subsurface resistivity and the visible geological structure with respect to given offsets. Instantaneous phase attribute was obtained by converting the impulse response into a complex form using the Hilbert transform. Conversely, the polynomial phase difference (PPD) estimator was favored over the center finite difference (CFD) approximation method in calculating the instantaneous frequency attribute because it is computationally efficient and has the ability to give a smooth variation of the instantaneous frequency over a common offset section. The observed results from the instantaneous attributes were in good agreement with both the subsurface model used and the apparent resistivity section obtained from the MTEM earth impulse response. Hence, this study confirms the capability of both instantaneous phase and frequency attributes as highly effective tools for MTEM qualitative analysis.

Choice attributes in restaurant services: An exploratory study

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Derli Luís Angnes

2013-08-01

Full Text Available There are about one million of bars and restaurants that generate around six millions of jobs in Brazil. Among the most important reasons to choose a restaurant are the service attributes. Attributes are judgments the client makes about the performance and quality of the service provided. The identification of restaurant choice attributes is important in order to propose a higher value to services and to make marketing strategies. This article aims to identify the choice attributes of service quality in restaurants. The methodology employed was a qualitative exploratory study based on interviews made using the critical incident technique. It was used a sample of 72 restaurant customers. The content analysis technique was used to treat and analyze the critical incidents obtained in the interviews. The result obtained was a relation of 615 critical incidents, which after being analyzed generated a list of 27 attributes that influence customer’s choice and customer’s evaluation of service quality provided in restaurants. The identified attributes can subsidize and contribute to improvement of future research and studies in the academic environment, besides contributing for the management of restaurants business.

When you have too many features: Auxiliaries, agreement and clitics in Italian varieties

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Roberta D'Alessandro

2017-05-01

Full Text Available Syntactic variation can be ascribed to a range of factors. The Borer-Chomsky conjecture, as Mark Baker (2008 refers to it, states for instance that all parameters of variation are attributable to differences in the features of particular items (e.g. functional heads in the lexicon. In this paper, this hypothesis is carefully considered in relation to a group of Abruzzese dialects that exhibit three seemingly unrelated syntactic patterns: split auxiliary selection, split differential object marking, and omnivorous participial agreement in number/argumental agreement mismatch marking. It will be proposed that these three patterns are closely interrelated, and can be attributed to the presence of an unvalued bundle of φ-features (π. Depending on which XP this head is merged with, different agreement patterns will emerge. Furthermore, these dialects will be shown to differ from another macrogroup of northern Italian dialects purely in the locus of Merge of this extra functional head: it will also be shown that the almost perfect areal complementary distribution between languages with subject clitics and languages with person-driven auxiliary selection is not accidental, but is the result of the presence of an extra φ-probe doubling the features of the subject in different parts of the syntactic spine. A microtypology of 'v 'will be presented, unifying many phenomena that were previously considered unrelated, such as auxiliary selection, participial agreement, differential object marking and subject clitics.

Eating disorder features and quality of life: Does gender matter?

Science.gov (United States)

Wagner, Allison F; Stefano, Emily C; Cicero, David C; Latner, Janet D; Mond, Jonathan M

2016-10-01

This study examined whether gender moderates the associations between eating disorder features and quality-of-life impairment and whether eating disorder features can explain gender differences in quality of life in a sample of undergraduate students. The SF-12 Physical and Mental Component Summary Scales were used to measure health-related quality of life (HRQoL), and the Eating Disorders Examination Questionnaire (EDE-Q) was used to quantify eating disorder behaviors and cognitions. These self-report forms were completed by undergraduate men and women (n = 709). Gender was a significant predictor of mental HRQoL, such that women in this sample reported poorer mental HRQoL than men. Eating disorder cognitions were the strongest predictor of undergraduate students' mental and physical HRQoL, while binge eating negatively predicted their physical HRQoL only. Gender was not found to moderate the associations between eating disorder features and HRQoL, and eating disorder cognitions were found to mediate the association between gender and mental HRQoL such that a proportion of the difference between undergraduate men and women's mental HRQoL was attributable to eating disorder cognitions. This study provided further evidence of the significant impact of eating disorder features, particularly eating disorder cognitions, on HRQoL. The finding that gender did not moderate the relationships between eating disorder features and HRQoL indicates the importance of investigating these features in both men and women in future research.

Simultaneous Channel and Feature Selection of Fused EEG Features Based on Sparse Group Lasso

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Jin-Jia Wang

2015-01-01

Full Text Available Feature extraction and classification of EEG signals are core parts of brain computer interfaces (BCIs. Due to the high dimension of the EEG feature vector, an effective feature selection algorithm has become an integral part of research studies. In this paper, we present a new method based on a wrapped Sparse Group Lasso for channel and feature selection of fused EEG signals. The high-dimensional fused features are firstly obtained, which include the power spectrum, time-domain statistics, AR model, and the wavelet coefficient features extracted from the preprocessed EEG signals. The wrapped channel and feature selection method is then applied, which uses the logistical regression model with Sparse Group Lasso penalized function. The model is fitted on the training data, and parameter estimation is obtained by modified blockwise coordinate descent and coordinate gradient descent method. The best parameters and feature subset are selected by using a 10-fold cross-validation. Finally, the test data is classified using the trained model. Compared with existing channel and feature selection methods, results show that the proposed method is more suitable, more stable, and faster for high-dimensional feature fusion. It can simultaneously achieve channel and feature selection with a lower error rate. The test accuracy on the data used from international BCI Competition IV reached 84.72%.

Feature Binding in Zebrafish

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P Neri

2012-07-01

Full Text Available Binding operations are primarily ascribed to cortex or similarly complex avian structures. My experiments show that the zebrafish, a lower vertebrate lacking cortex, supports visual feature binding of form and motion for the purpose of social behavior. These results challenge the notion that feature binding may require highly evolved neural structures and demonstrate that the nervous system of lower vertebrates can afford unexpectedly complex computations.

Unsupervised feature learning for autonomous rock image classification

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Shu, Lei; McIsaac, Kenneth; Osinski, Gordon R.; Francis, Raymond

2017-09-01

Autonomous rock image classification can enhance the capability of robots for geological detection and enlarge the scientific returns, both in investigation on Earth and planetary surface exploration on Mars. Since rock textural images are usually inhomogeneous and manually hand-crafting features is not always reliable, we propose an unsupervised feature learning method to autonomously learn the feature representation for rock images. In our tests, rock image classification using the learned features shows that the learned features can outperform manually selected features. Self-taught learning is also proposed to learn the feature representation from a large database of unlabelled rock images of mixed class. The learned features can then be used repeatedly for classification of any subclass. This takes advantage of the large dataset of unlabelled rock images and learns a general feature representation for many kinds of rocks. We show experimental results supporting the feasibility of self-taught learning on rock images.

Attributions for sexual orientation vs. stereotypes : How beliefs about value violations account for attribution effects on anti-gay discrimination

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Reyna, Christine; Wetherell, Geoffrey; Yantis, Caitlyn; Brandt, Mark J.

Attributions for sexual orientation strongly predict opposition to gay rights policies; however, we propose that beliefs that gays and lesbians violate important values drive gay rights opposition and account for the relationship between attributions and anti-gay discrimination. In two studies, we

Audit Committee Attributes and Earnings Management: Evidence from Nigeria

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Afensimi Elijah

2015-05-01

Full Text Available Using the agency theoretical framework, the  study postulates that audit committee attributes can impact significantly, constraining accrual-based distortion of financial reporting credibility and thus improve the quality of financial reporting. To assess our arguments, audit committee size, audit committee financial literacy, audit committee attendance at meetings, audit committee independence and audit meetings frequency of meeting were regressed on financial reporting quality measured by discretionary accruals. The findings for the full sample and negative discretionary accruals sample confirm our expectation that audit committee characteristics have a constraining effect on earnings management. Specifically, audit committee financial expertise, audit committee size, audit committee independence and diligence showed an inverse and significant relationship with earnings management. This is in tandem with theoretical expectations and suggest that increases in these variables we exert a declining influence on earnings management. The study concludes that there is the need for companies to focus on attributes that strengthen the effectiveness of their audit committees.

Accounting Students' Perceptions of Effective Faculty Attributes

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Alfraih, Mishari M.; Alanezi, Faisal S.

2016-01-01

Purpose: This study aims to explore the attributes of an effective accounting faculty from the student perspective. It also examines similarities and differences in the perceived importance of these attributes between bachelor's and associate's accounting degree students in two public higher education institutions in Kuwait, namely, Kuwait…

Assessing blood flow, microvasculature, erythema and redness in hypertrophic scars: A cross sectional study showing different features that require precise definitions.

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Jaspers, M E H; Stekelenburg, C M; Simons, J M; Brouwer, K M; Vlig, M; van den Kerckhove, E; Middelkoop, E; van Zuijlen, P P M

2017-08-01

In hypertrophic scar assessment, laser Doppler imaging (LDI), colorimetry and subjective assessment (POSAS) can be used to evaluate blood flow, erythema and redness, respectively. In addition, the microvasculature (i.e. presence of microvessels) can be determined by immunohistochemistry. These measurement techniques are frequently used in clinical practice and/or in research to evaluate treatment response and monitor scar development. However, until now it has not been tested to what extent the outcomes of these techniques are associated, whilst the outcome terms are frequently used interchangeably or replaced by the umbrella term 'vascularization'. This is confusing, as every technique seems to measure a specific feature. Therefore, we evaluated the correlations of the four measurement techniques. We included 32 consecutive patients, aged ≥18 years, who underwent elective resection of a hypertrophic scar. Pre-operatively, we performed LDI (measuring blood flow), colorimetry (measuring erythema) and the POSAS (subjective redness) within the predefined scar area of interest (∼1.5cm). Subsequently, the scar was excised and the area of interest was sent for immunohistochemistry, to determine the presence of microvessels. Only a statistically significant correlation was found between erythema values (colorimetry) and subjective redness assessment (POSAS) (r=0.403, p=0.030). We found no correlations between the outcomes of LDI, immunohistochemistry and colorimetry. Blood flow, the presence of microvessels and erythema appear to be different hypertrophic scar features because they show an absence of correlation. Therefore, in the field of scar assessment, these outcome terms cannot be used interchangeably. In addition, we conclude that the term 'vascularization' does not seem appropriate to serve as an umbrella term. The use of precise definitions in research as well as in clinical practice is recommended. Copyright © 2017 Elsevier Ltd and ISBI. All rights reserved.

Alcoholics' and nonalcoholics' attributions of control of future life events.

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Wright, M H; Obitz, F W

1984-03-01

Alcoholic and nonalcoholic subjects rated the degree of control that they and others possess over future life events. Alcoholics attributed less personal control over events to themselves than nonalcoholics did. Alcoholics also attributed less control to themselves than to others, whereas nonalcoholics attributed more control to themselves than to others. These differences prevailed despite the similar socioeconomic and demographic characteristics, recent life experiences and beliefs concerning the general controllability of events of both alcoholics and nonalcoholics. The attributions of alcoholics were consistent with others' notions of self-handicapping. The attributions of nonalcoholics were consistent with control motivation. Alcoholics who attributed less control to themselves than to others more frequently failed to complete treatment than did alcoholics who attributed more control to themselves.

Preferences of processing companies for attributes of Swiss milk: a conjoint analysis in a business-to-business market.

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Boesch, I

2013-04-01

This study aimed to determine key attributes of milk that drive a processor's supply decisions and possibilities for differentiation based on these product attributes. Feedback-driven exploration was applied to derive product attributes relevant to the buying decision. Conjoint analysis with hierarchical Bayes estimation methods was used to determine the relative importance of attributes. Results show that the technical aspects of milk, as well as the price and country of origin, dominate the buying decision. Potential for differentiation was found for environmental and societal attributes as well as freedom from genetically modified products. Product and supplier criteria also provide the potential to segment the market if the price premium is held within limits. Copyright © 2013 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.