Recognition properties of receptors consisting of imidazole and indole recognition units towards carbohydrates

Directory of Open Access Journals (Sweden)

Monika Mazik

2010-02-01

Full Text Available Compounds 4 and 5, including both 4(5-substituted imidazole or 3-substituted indole units as the entities used in nature, and 2-aminopyridine group as a heterocyclic analogue of the asparagine/glutamine primary amide side chain, were prepared and their binding properties towards carbohydrates were studied. The design of these receptors was inspired by the binding motifs observed in the crystal structures of protein–carbohydrate complexes. 1H NMR spectroscopic titrations in competitive and non-competitive media as well as binding studies in two-phase systems, such as dissolution of solid carbohydrates in apolar media, revealed both highly effective recognition of neutral carbohydrates and interesting binding preferences of these acyclic compounds. Compared to the previously described acyclic receptors, compounds 4 and 5 showed significantly increased binding affinity towards β-galactoside. Both receptors display high β- vs. α-anomer binding preferences in the recognition of glycosides. It has been shown that both hydrogen bonding and interactions of the carbohydrate CH units with the aromatic rings of the receptors contribute to the stabilization of the receptor–carbohydrate complexes. The molecular modeling calculations, synthesis and binding properties of 4 and 5 towards selected carbohydrates are described and compared with those of the previously described receptors.

A Study of the Effects of Rank and Gender on Officers' Club Membership and Club Usage at U.S. Air Force Bases in the Continental United States

National Research Council Canada - National Science Library

Smith, C

1999-01-01

Scope and Method of Study: The purpose of this study was to examine relationships between both officer rank and officer gender and both club membership and member usage at Air Force officers' clubs in the Continental United States (CONUS...

Molecular Recognition Units: Design and diagnostic applications

International Nuclear Information System (INIS)

Alvarez, V.L.; Radcliffe, R.D.; Coughlin, D.J.; Lopes, A.D.; Rodwell, J.D.

1992-01-01

Molecular Recognition Units (MRUs), small peptides derived from complementarity-determining region (CDR) of IgM antibodies, can mimic the recognition site found in the antibody. One example of an MRU fusion peptide designed to image thrombi was derived from PAC 1.1, an IgM monoclonal antibody specific for the GPIIb/IIa receptor on platelets. The peptide sequence from the third CDR of the heavy chain was engineered for optimal binding activity and synthesized with a metal-binding peptide sequence. After labeling with 99m-Tc, the peptides were injected into either animal models of experimentally induced thrombi in order to determine their effectiveness in imaging model thrombi. Data are presented which demonstrate enhanced binding with open-quotes tandem repeatsclose quotes of the MRU domain and no loss of activity after incorporation of the metal-binding domain. These studies have led to a clinical candidate consisting of 17 amino acids. Extension of this concept to other MRUs and fusion peptides is also discussed

Diversity in membership and leadership positions in a regional vascular society.

Science.gov (United States)

Satiani, Bhagwan; Vaccaro, Patrick S; Go, Michael R

2010-04-01

To determine diversity in the membership and analyze representation of private practitioners and ethnic and racial minorities/women in senior leadership roles in a regional vascular society. The program book distributed at the 2008 annual meeting was used to compile information on membership categories, academic status, gender, and ethnic origin of members. Excluded from further analysis were all but active and senior members (n = 386). Officers for President and current President-Elect (P, n = 31), Secretary (S, n = 10), Treasurer (T, n = 11), and Councilor (C, n = 33) over a 30-year period were scrutinized for similar information. Members were considered to be "academic" if they worked full time at an academic medical center or as faculty at a teaching hospital with a vascular fellowship and national recognition. Private practice (PP) or academic practice (AP) was determined by personal knowledge, mailing address, e-mail address, and search engines. Ethnic and racial origin was determined by name, personal knowledge, or a web search. Of the 386 active and senior members in the society, 86% were white, 13.7% were of various ethnic/racial groups, and 5.7% were women. Sixty-eight percent of members were in PP. Female members were more likely to be in AP compared with male members (68.1% vs 29.6%, P academics (WMAs) (23.7% of membership) occupied 86% of all senior leadership and 57% of C positions compared with 13% and 42%, respectively, for the rest of the membership (P academics are under represented in senior leadership positions. With changing demographics, a predicted shortage of vascular surgeons, the need for role models in leadership positions and a push to culturally competent care, regional and national societies must change course and promote a more diverse membership and representative senior leadership. Published by Mosby, Inc.

Membership

CERN Multimedia

Staff Association

2016-01-01

Join the Staff Association now for 2017, the remaining quarter of 2016 is free! The membership fee of the Staff Association is free for everyone joining during the last quarter of 2016. Take this opportunity to become a member of the SA. You can also enjoy our offers and partnerships, especially as we approach the holiday season. As a reminder, the membership fee is: 0.2 % of the annual basic salary for staff members with an indefinite contract (IC); the amount will be automatically; 50.00 CHF for staff members with a limited duration contract (LD), fellows and associated members of personnel.   Don’t wait any longer, join the Staff Association that represents all of you! More information on http://staff-association.web.cern.ch/

Multiple group membership and well-being

DEFF Research Database (Denmark)

Sønderlund, Anders L.; Morton, Thomas A.; Ryan, Michelle K.

2017-01-01

multiple group membership and well-being, but only for individuals high in SIC. This effect was mediated by perceived identity expression and access to social support. Study 2 (N = 104) also found that multiple group memberships indirectly contributed to well-being via perceived identity expression......A growing body of research points to the value of multiple group memberships for individual well-being. However, much of this work considers group memberships very broadly and in terms of number alone. We conducted two correlational studies exploring how the relationship between multiple group...... and social support, as well as identity compatibility and perceived social inclusion. But, in this study the relationship between multiple group memberships and well-being outcomes was moderated by the perceived value and visibility of group memberships to others. Specifically, possessing multiple, devalued...

Membership

CERN Multimedia

Staff Association

2016-01-01

Join the Staff Association now for 2017, the remaining quarter of 2016 is free! The membership fee of the Staff Association is free for everyone joining during the last quarter of 2016. Take this opportunity to become a member of the SA. You can also enjoy our offers and partnerships, especially as we approach the holiday season. As a reminder, the membership fee is: 0.2 % of the annual basic salary for staff members with an indefinite contract (IC); the amount will be automatically charged on the salary of January; 50.00 CHF for staff members with a limited duration contract (LD), fellows and associated members of personnel.   Don’t wait any longer, join the Staff Association. We represent and defend all of you! More information on http://staff-association.web.cern.ch/

Changes in the Demographic Characteristics of the American Geophysical Union Membership, 2006-2010

Science.gov (United States)

Rhodes, D. D.

2010-12-01

Significant change occurred in the demographic properties of the American Geophysical Union membership during the period April 2006- January 2010. During this period AGU membership decreased from 48,332 to 38,847, a drop of 19.6%. Most of the change appears to have been driven by the aging membership of the Union, especially in the United States, and the effects of the global economic crisis on employment in all sectors of economy. Of the 38,847 members in January 2010, data on the birth year and gender were available for 33,610 members including 21,567 who reside in the United States. These data were compared to a similar data set captured in April 2006. The following observations are based on this subset of the total AGU membership for who country of residence and both age and gender are known. The number of AGU members residing in the United States decreased by 18.6% during the study period. As should be expected, the changes were not spread evenly between the genders or across birth-year cohorts. Membership among males decreased by 19%, while there were 17% fewer female members. The female cohorts that experienced the greatest losses were those including women from 30-40 years old (born 1970-1979). These data appear to echo multiple studies that show women leaving the sciences for gender-specific reasons. For the purposes of this analysis, the birth-year cohorts are divided into three groups. Members born prior to 1945 compose the oldest cohort. The Baby-Boom generation includes members born between 1945 and 1964. The youngest group includes members born from 1965 onward. Because of the very small number of women in the oldest group (only 4.7%) most of the change occurred among males. The total membership loss from this group was 1,140 members, 23% of the total. The largest change occurred among Baby Boomers. The group decreased by 2,760 members, accounting for 56% of the total decline in membership among US residents. Males accounted for most of the change (2

On the Face of it: Exploring the Interaction Between Racial and Arbitrary Group Recognition

Directory of Open Access Journals (Sweden)

Eva Berlot

2013-09-01

Full Text Available The cross-race effect – enhanced recognition of racial ingroup faces – has been justified to exist in other categories, such as arbitrary groups. This study aimed to investigate the effect of crossing racial (black/white and arbitrary (blue/yellow categories, in addition to the role of facial expressions in this phenomenon. 120 Caucasian students (from the UK, Macedonia, and Portugal performed a discrimination task (judging faces as new vs. previously seen. Using a within-subjects design, reaction times and accuracy were measured. We hypothesized that (1 the arbitrary group membership of faces would moderate the cross-race effect and (2 the racial group membership of faces would moderate the usual recognition advantage for happy faces.

Evidence for view-invariant face recognition units in unfamiliar face learning.

Science.gov (United States)

Etchells, David B; Brooks, Joseph L; Johnston, Robert A

2017-05-01

Many models of face recognition incorporate the idea of a face recognition unit (FRU), an abstracted representation formed from each experience of a face which aids recognition under novel viewing conditions. Some previous studies have failed to find evidence of this FRU representation. Here, we report three experiments which investigated this theoretical construct by modifying the face learning procedure from that in previous work. During learning, one or two views of previously unfamiliar faces were shown to participants in a serial matching task. Later, participants attempted to recognize both seen and novel views of the learned faces (recognition phase). Experiment 1 tested participants' recognition of a novel view, a day after learning. Experiment 2 was identical, but tested participants on the same day as learning. Experiment 3 repeated Experiment 1, but tested participants on a novel view that was outside the rotation of those views learned. Results revealed a significant advantage, across all experiments, for recognizing a novel view when two views had been learned compared to single view learning. The observed view invariance supports the notion that an FRU representation is established during multi-view face learning under particular learning conditions.

Factors affecting membership in specialty nursing organizations.

Science.gov (United States)

White, Mary Joe; Olson, Rhonda S

2004-01-01

A discouraging trend in many specialty nursing organizations is the stagnant or declining membership. The research committee of the Southeast Texas Chapter of the Association of Rehabilitation Nurses (ARN) collected data and studied this trend to determine what changes would be necessary to increase membership. Using Herzberg's motivational theory as a framework, a review of the literature was initiated. There were few current studies on this issue, but relevant information was found about nursing's emerging workforce, as well as implications of the growth of magnet hospitals, which affect whether nurses join specialty nursing organizations. A multifaceted data-collection approach using convenience samples was designed. First, relevant literature was reviewed. Second, a survey was sent by e-mail to other ARN chapters. Third, a telephone survey on other specialty organizations in the geographic region was completed. Finally, members of the local ARN chapter and four other specialty organizations, as well staff nurses in the geographic area, were given questionnaires to complete. Descriptive statistics and cross tabulations were used to determine why nurses do and do not join specialty organizations (N = 81). The most frequent reasons for joining an organization were to increase knowledge, benefit professionally, network, and earn continuing education units. Reasons for choosing not to participate were family responsibilities, lack of information about these organizations, and lack of time. Ways to reverse the decline in membership are discussed.

8 CFR 292.2 - Organizations qualified for recognition; requests for recognition; withdrawal of recognition...

Science.gov (United States)

2010-01-01

...; requests for recognition; withdrawal of recognition; accreditation of representatives; roster. 292.2...; withdrawal of recognition; accreditation of representatives; roster. (a) Qualifications of organizations. A non-profit religious, charitable, social service, or similar organization established in the United...

Performance Recognition for Sulphur Flotation Process Based on Froth Texture Unit Distribution

Directory of Open Access Journals (Sweden)

Mingfang He

2013-01-01

Full Text Available As an important indicator of flotation performance, froth texture is believed to be related to operational condition in sulphur flotation process. A novel fault detection method based on froth texture unit distribution (TUD is proposed to recognize the fault condition of sulphur flotation in real time. The froth texture unit number is calculated based on texture spectrum, and the probability density function (PDF of froth texture unit number is defined as texture unit distribution, which can describe the actual textual feature more accurately than the grey level dependence matrix approach. As the type of the froth TUD is unknown, a nonparametric kernel estimation method based on the fixed kernel basis is proposed, which can overcome the difficulty when comparing different TUDs under various conditions is impossible using the traditional varying kernel basis. Through transforming nonparametric description into dynamic kernel weight vectors, a principle component analysis (PCA model is established to reduce the dimensionality of the vectors. Then a threshold criterion determined by the TQ statistic based on the PCA model is proposed to realize the performance recognition. The industrial application results show that the accurate performance recognition of froth flotation can be achieved by using the proposed method.

Enhanced iris recognition method based on multi-unit iris images

Science.gov (United States)

Shin, Kwang Yong; Kim, Yeong Gon; Park, Kang Ryoung

2013-04-01

For the purpose of biometric person identification, iris recognition uses the unique characteristics of the patterns of the iris; that is, the eye region between the pupil and the sclera. When obtaining an iris image, the iris's image is frequently rotated because of the user's head roll toward the left or right shoulder. As the rotation of the iris image leads to circular shifting of the iris features, the accuracy of iris recognition is degraded. To solve this problem, conventional iris recognition methods use shifting of the iris feature codes to perform the matching. However, this increases the computational complexity and level of false acceptance error. To solve these problems, we propose a novel iris recognition method based on multi-unit iris images. Our method is novel in the following five ways compared with previous methods. First, to detect both eyes, we use Adaboost and a rapid eye detector (RED) based on the iris shape feature and integral imaging. Both eyes are detected using RED in the approximate candidate region that consists of the binocular region, which is determined by the Adaboost detector. Second, we classify the detected eyes into the left and right eyes, because the iris patterns in the left and right eyes in the same person are different, and they are therefore considered as different classes. We can improve the accuracy of iris recognition using this pre-classification of the left and right eyes. Third, by measuring the angle of head roll using the two center positions of the left and right pupils, detected by two circular edge detectors, we obtain the information of the iris rotation angle. Fourth, in order to reduce the error and processing time of iris recognition, adaptive bit-shifting based on the measured iris rotation angle is used in feature matching. Fifth, the recognition accuracy is enhanced by the score fusion of the left and right irises. Experimental results on the iris open database of low-resolution images showed that the

[Fuzzing pattern recognition study on Raman spectrum of tumor peripheral tissue].

Science.gov (United States)

Luo, Lei; Zhao, Yuan-li; Ge, Xiang-hong; Zhang, Xiao-dong; Hao, Zhi-fang; Lü, Jing

2006-06-01

On the basis of some theories about fuzzing pattern recognition, the present article studied the data preprocessing of the Raman spectrum of tumor peripheral tissue, and feature extraction and selection. According to these features the authors improved the leaning towards the bigger membership function of trapezoidal distribution. The authors built the membership function of Raman spectrum of tumor peripheral tissue which belongs to malignant tumor on the basis of 40 specimens, and designed the classifier. The test of other 40 specimens showed that the discrimination of malignant tumor is 82.4%, while that of beginning tumor is 73.9%.

12 CFR 925.30 - Readmission to membership.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 7 2010-01-01 2010-01-01 false Readmission to membership. 925.30 Section 925.30 Banks and Banking FEDERAL HOUSING FINANCE BOARD FEDERAL HOME LOAN BANK MEMBERS AND HOUSING ASSOCIATES MEMBERS OF THE BANKS Reacquisition of Membership § 925.30 Readmission to membership. (a) In...

Pattern recognition in cyclic and discrete skills performance from inertial measurement units

NARCIS (Netherlands)

Seifert, Ludovic; L'Hermette, Maxime; Komar, John; Orth, Dominic; Mell, Florian; Merriaux, Pierre; Grenet, Pierre; Caritu, Yanis; Hérault, Romain; Dovgalecs, Vladislavs; Davids, Keith

2014-01-01

The aim of this study is to compare and validate an Inertial Measurement Unit (IMU) relative to an optic system, and to propose methods for pattern recognition to capture behavioural dynamics during sport performance. IMU validation was conducted by comparing the motions of the two arms of a

12 CFR 564.6 - Professional association membership; competency.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 5 2010-01-01 2010-01-01 false Professional association membership; competency. 564.6 Section 564.6 Banks and Banking OFFICE OF THRIFT SUPERVISION, DEPARTMENT OF THE TREASURY APPRAISALS § 564.6 Professional association membership; competency. (a) Membership in appraisal organizations...

Building up active membership in cooperatives

NARCIS (Netherlands)

Verhees, F.J.H.M.; Sergaki, P.; Dijk, van G.

2015-01-01

Abstract Active membership is crucial for agricultural cooperatives as it engenders better performance. It even is the key for cooperative competitiveness. Active membership, however, decreases in many cooperatives. Thus, it is important to know what galvanizes members to become active members. The

Membership nominations in international scientific assessments

Science.gov (United States)

Leifeld, Philip; Fisher, Dana R.

2017-10-01

International scientific assessments are transnational knowledge-based expert networks with a mandate to advise policymakers. A well-known example is the Millennium Ecosystem Assessment (MA), which synthesized research on ecosystem services between 2001 and 2005, utilizing the knowledge of 1,360 expert members. Little, however, is known about the membership composition and the driving forces behind membership nominations in the MA and similar organizations. Here we introduce a survey data set on recruitment in the MA and analyse nomination patterns among experts as a complex network. The results indicate that membership recruitment was governed by prior contacts in other transnational elite organizations and a range of other factors related to personal affinity. Network analysis demonstrates how some core individuals were particularly influential in shaping the overall membership composition of the group. These findings add to recently noted concerns about the lack of diversity of views represented in international scientific assessments.

Does union membership really reduce job satisfaction?

OpenAIRE

Alex Bryson; Lorenzo Cappellari; Claudio Lucifora

2003-01-01

We investigate the effect of union membership on job satisfaction. Whilst it is common to study the effects of union status on satisfaction treating individual membership as given, in this paper, we account for the endogenous selection induced by the sorting of workers into unionised jobs. Using linked employer-employee data from the 1998 British Workplace Employee Relations Survey, we address the question of how the membership decision is related to overall job satisfaction and to satisfacti...

Chemical fingerprints encode mother–offspring similarity, colony membership, relatedness, and genetic quality in fur seals

Science.gov (United States)

Stoffel, Martin A.; Caspers, Barbara A.; Forcada, Jaume; Giannakara, Athina; Baier, Markus; Eberhart-Phillips, Luke; Müller, Caroline; Hoffman, Joseph I.

2015-01-01

Chemical communication underpins virtually all aspects of vertebrate social life, yet remains poorly understood because of its highly complex mechanistic basis. We therefore used chemical fingerprinting of skin swabs and genetic analysis to explore the chemical cues that may underlie mother–offspring recognition in colonially breeding Antarctic fur seals. By sampling mother–offspring pairs from two different colonies, using a variety of statistical approaches and genotyping a large panel of microsatellite loci, we show that colony membership, mother–offspring similarity, heterozygosity, and genetic relatedness are all chemically encoded. Moreover, chemical similarity between mothers and offspring reflects a combination of genetic and environmental influences, the former partly encoded by substances resembling known pheromones. Our findings reveal the diversity of information contained within chemical fingerprints and have implications for understanding mother–offspring communication, kin recognition, and mate choice. PMID:26261311

The effect of alliance block membership on innovative performance

NARCIS (Netherlands)

Duysters, G.M.; Hagedoorn, J.; Lemmens, C.E.A.V.

2002-01-01

This paper longitudinally explores the technology positioning strategies, i.e. block membership or non-block membership, in interorganizational networks that maximize innovative performance. Hence, we will derive some basic propositions on the effect of block membership on innovative performance

7 CFR 956.20 - Establishment and membership.

Science.gov (United States)

2010-01-01

... Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (Marketing... Establishment and membership. (a) The Walla Walla Sweet Onion Marketing Committee, consisting of ten members, is... committee membership. At the time of selection, no more than two producer members may be affiliated with the...

Membership Functions for Fuzzy Focal Elements

Directory of Open Access Journals (Sweden)

Porębski Sebastian

2016-09-01

Full Text Available The paper presents a study on data-driven diagnostic rules, which are easy to interpret by human experts. To this end, the Dempster-Shafer theory extended for fuzzy focal elements is used. Premises of the rules (fuzzy focal elements are provided by membership functions which shapes are changing according to input symptoms. The main aim of the present study is to evaluate common membership function shapes and to introduce a rule elimination algorithm. Proposed methods are first illustrated with the popular Iris data set. Next experiments with five medical benchmark databases are performed. Results of the experiments show that various membership function shapes provide different inference efficiency but the extracted rule sets are close to each other. Thus indications for determining rules with possible heuristic interpretation can be formulated.

Painting recognition with smartphones equipped with inertial measurement unit

Science.gov (United States)

Masiero, Andrea; Guarnieri, Alberto; Pirotti, Francesco; Vettore, Antonio

2015-06-01

Recently, several works have been proposed in the literature to take advantage of the diffusion of smartphones to improve people experience during museum visits. The rationale is that of substituting traditional written/audio guides with interactive electronic guides usable on a mobile phone. Augmented reality systems are usually considered to make the use of such electronic guides more effective for the user. The main goal of such augmented reality system (i.e. providing the user with the information of his/her interest) is usually achieved by properly executing the following three tasks: recognizing the object of interest to the user, retrieving the most relevant information about it, properly presenting the retrieved information. This paper focuses on the first task: we consider the problem of painting recognition by means of measure- ments provided by a smartphone. We assume that the user acquires one image of the painting of interest with the standard camera of the device. This image is compared with a set of reference images of the museum objects in order to recognize the object of interest to the user. Since comparing images taken in different conditions can lead to unsatisfactory recognition results, the acquired image is typically properly transformed in order to improve the results of the recognition system: first, the system estimates the homography between properly matched features in the two images. Then, the user image is transformed accordingly to the estimated homography. Finally, it is compared with the reference one. This work proposes a novel method to exploit inertial measurement unit (IMU) measurements to improve the system performance, in particular in terms of computational load reduction: IMU measurements are exploited to reduce both the computational burden required to estimate the transformation to be applied to the user image, and the number of reference images to be compared with it.

Racial Group Membership and Multicultural Training: Examining the Experiences of Counseling and Counseling Psychology Students

Science.gov (United States)

Pieterse, Alex L.; Lee, Minsun; Fetzer, Alexa

2016-01-01

This study documents various process elements of multicultural training from the perspective of counseling and counseling psychology students within the United States (US). Using a mixed-methods approach, findings indicate that racial group membership is an important variable that differentially impacts White students and students of Color while…

Infinite Multiple Membership Relational Modeling for Complex Networks

DEFF Research Database (Denmark)

Mørup, Morten; Schmidt, Mikkel Nørgaard; Hansen, Lars Kai

Learning latent structure in complex networks has become an important problem fueled by many types of networked data originating from practically all fields of science. In this paper, we propose a new non-parametric Bayesian multiplemembership latent feature model for networks. Contrary to existing...... multiplemembership models that scale quadratically in the number of vertices the proposedmodel scales linearly in the number of links admittingmultiple-membership analysis in large scale networks. We demonstrate a connection between the single membership relational model and multiple membership models and show...

Measuring Multi-Membership in Economic Integration and Its Trade Impact

DEFF Research Database (Denmark)

Afesorgbor, Sylvanus Kwaku; van Bergeijk, Peter A.G.

2014-01-01

impact in two major African regional blocs, Economic Community of West Africa States (ECOWAS) and Southern Africa Development Community (SADC). We find that the impact of multi-membership critically depends on the characteristics of the multi-membership of regional integration initiatives. We find...... a positive impact if an additional membership complements the integration process of the original regional integration initiative: overlapping memberships had a much stronger and significant positive effect on bilateral trade within ECOWAS compare with an insignificant impact within the SADC....

Memory evaluation in mild cognitive impairment using recall and recognition tests.

Science.gov (United States)

Bennett, Ilana J; Golob, Edward J; Parker, Elizabeth S; Starr, Arnold

2006-11-01

Amnestic mild cognitive impairment (MCI) is a selective episodic memory deficit that often indicates early Alzheimer's disease. Episodic memory function in MCI is typically defined by deficits in free recall, but can also be tested using recognition procedures. To assess both recall and recognition in MCI, MCI (n = 21) and older comparison (n = 30) groups completed the USC-Repeatable Episodic Memory Test. Subjects memorized two verbally presented 15-item lists. One list was used for three free recall trials, immediately followed by yes/no recognition. The second list was used for three-alternative forced-choice recognition. Relative to the comparison group, MCI had significantly fewer hits and more false alarms in yes/no recognition, and were less accurate in forced-choice recognition. Signal detection analysis showed that group differences were not due to response bias. Discriminant function analysis showed that yes/no recognition was a better predictor of group membership than free recall or forced-choice measures. MCI subjects recalled fewer items than comparison subjects, with no group differences in repetitions, intrusions, serial position effects, or measures of recall strategy (subjective organization, recall consistency). Performance deficits on free recall and recognition in MCI suggest a combination of both tests may be useful for defining episodic memory impairment associated with MCI and early Alzheimer's disease.

12 CFR 323.6 - Professional association membership; competency.

Science.gov (United States)

2010-01-01

... excluded from consideration for an assignment for a federally related transaction solely by virtue of membership or lack of membership in any particular appraisal organization. (b) Competency. All staff and fee... individual's experience and educational background as they relate to the particular appraisal assignment for...

12 CFR 34.46 - Professional association membership; competency.

Science.gov (United States)

2010-01-01

... excluded from consideration for an assignment for a federally related transaction solely by virtue of membership or lack of membership in any particular appraisal organization. (b) Competency. All staff and fee... individual's experience and educational background as they relate to the particular appraisal assignment for...

12 CFR 722.6 - Professional association membership; competency.

Science.gov (United States)

2010-01-01

... consideration for an assignment for a federally related transaction solely by virtue of membership or lack of membership in any particular appraisal organization. (b) Competency. All staff and fee appraisers performing...'s experience and educational background as they relate to the particular appraisal assignment for...

Social Customs and Trade Union Membership

DEFF Research Database (Denmark)

Ibsen, Christian Lyhne; Toubøl, Jonas; Jensen, Daniel Sparwath

2017-01-01

In this article, we investigate the effect of social customs on one of the most important instances of collective action, namely, workers uniting in trade unions. Although many studies have used social custom theory to explain unionization, existing studies have not adequately analysed social...... customs at the workplace. Using workplace union density as a proxy for social custom, this analysis improves existing studies in a number of ways. First, multi-level analyses of a large panel data set from Denmark reveal that there is a significant positive effect of workplace union density...... in unionization are required to create self-sustaining social customs for union membership. Thirdly, we test the acceleration using segmented regression analysis and find a significant acceleration around 45–65 per cent workplace union density. In the conclusion, we discuss the implications of our study...

Democracy predicts sport and recreation membership: Insights from 52 countries.

Science.gov (United States)

Balish, Shea M

2017-03-01

Although evidence suggests sport and recreation are powerful contributors to worldwide public health, sizable gender differences persist. It is unknown whether country characteristics moderate gender differences across countries. The primary purpose of this study was to examine if countries' levels of democracy and/or gender inequality moderate gender differences in sport and recreation membership across countries. The secondary purpose was to examine if democracy and/or gender inequality predicts overall rates of sport and recreation membership for both males and females. This study involved a nested cross-sectional design and employed the sixth wave (2013) of the world value survey (n Ss =71,901, n countries =52). Multiple hierarchal nonlinear Bernoulli models tested: (1) if countries' levels of democracy moderate gender differences in sport and recreation membership; and (2) if democracy is associated with increased sport and recreation membership for both males and females. Countries' level of democracy fully moderated gender differences in sport and recreation membership across countries. Moreover, democracy was positively associated with both male and female membership, even when controlling for individual and country-level covariates. Democratic political regimes may confer health benefits via increased levels of sport and recreation membership, especially for females. Future research should test mediating mechanisms. Copyright © 2016 Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. All rights reserved.

Birth Order, Club Membership and Mass Media Exposure

Science.gov (United States)

Tomeh, Aida K.

1976-01-01

Examines the relationship between birth order, club membership and mass media exposure for women college students in Lebanon. Findings show the total membership rate and mass media consumption are higher among last born girls than first born. Birth order differences are explained in terms of the differential socialization of children. (Author)

Fuzzy Logic Controller Design for A Robot Grasping System with Different Membership Functions

International Nuclear Information System (INIS)

Ahmad, Hamzah; Razali, Saifudin; Mohamed, Mohd Rusllim

2013-01-01

This paper investigates the effects of the membership function to the object grasping for a three fingered gripper system. The performance of three famously used membership functions is compared to identify their behavior in lifting a defined object shape. MATLAB Simulink and SimMechanics toolboxes are used to examine the performance. Our preliminary results proposed that the Gaussian membership function surpassed the two other membership functions; triangular and trapezoid memberships especially in the context of firmer grasping and less time consumption during operations. Therefore, Gaussian membership function could be the best solution when time consumption and firmer grasp are considered

State Membership: A Question of Individual Choice

OpenAIRE

Duarte, Melina

2016-01-01

The papers I, III and IV of this thesis are not available in Munin. Paper I: I. Duarte, M.: "Right to Hospitality, Right to Membership: a Critical Review of Kant's and Benhabib's Cosmopolitan Accounts on Immigration and Borders.". Published version available in "Varieties of Liberalism: Contemporary Challenges. Alnes, J. H. and Manuel Toscano (eds.), ISBN: 978-1443858120. Newcastle: Cambridge Scholars Publishing, p.:204-222. Paper III:Duarte, M.: "State Membership: Contesting Natur...

Three Steps to Engage Volunteers in Membership Marketing

Science.gov (United States)

Rossell, Tony

2011-01-01

There is a big world out there, and volunteers can make a significant impact in helping one reach out to others and grow his/her PTA membership. In fact, word-of-mouth marketing tied for the top spot as the most effective method of new member recruitment in Marketing General's 2010 Membership Marketing Benchmarking Report. So getting volunteers'…

76 FR 60473 - Membership of the Performance Review Board

Science.gov (United States)

2011-09-29

... Services Agency, Defense Logistics Agency, Defense Threat Reduction Agency, Missile Defense Agency, and... DEPARTMENT OF DEFENSE Office of the Secretary Membership of the Performance Review Board AGENCY: Office of the Secretary (OSD), Department of Defense (DoD). ACTION: Notice of board membership. SUMMARY...

Own-Group Face Recognition Bias: The Effects of Location and Reputation

Directory of Open Access Journals (Sweden)

Linlin Yan

2017-10-01

Full Text Available In the present study, we examined whether social categorization based on university affiliation can induce an advantage in recognizing faces. Moreover, we investigated how the reputation or location of the university affected face recognition performance using an old/new paradigm. We assigned five different university labels to the faces: participants’ own university and four other universities. Among the four other university labels, we manipulated the academic reputation and geographical location of these universities relative to the participants’ own university. The results showed that an own-group face recognition bias emerged for faces with own-university labels comparing to those with other-university labels. Furthermore, we found a robust own-group face recognition bias only when the other university was located in a different city far away from participants’ own university. Interestingly, we failed to find the influence of university reputation on own-group face recognition bias. These results suggest that categorizing a face as a member of one’s own university is sufficient to enhance recognition accuracy and the location will play a more important role in the effect of social categorization on face recognition than reputation. The results provide insight into the role of motivational factors underlying the university membership in face perception.

77 FR 49440 - Membership of the Performance Review Board

Science.gov (United States)

2012-08-16

..., Defense Security Cooperation Agency, Defense Threat Reduction Agency, Missile Defense Agency, and Pentagon... DEPARTMENT OF DEFENSE Office of the Secretary Membership of the Performance Review Board AGENCY: Office of the Secretary of Defense (OSD), DoD. ACTION: Notice of board membership. SUMMARY: This notice...

78 FR 52517 - Membership of the Performance Review Board

Science.gov (United States)

2013-08-23

..., Defense Security Cooperation Agency, Defense Threat Reduction Agency, Missile Defense Agency, and Pentagon... DEPARTMENT OF DEFENSE Office of the Secretary Membership of the Performance Review Board AGENCY: Office of the Secretary of Defense (OSD), DoD. ACTION: Notice of board membership. SUMMARY: This notice...

11 CFR 114.7 - Membership organizations, cooperatives, or corporations without capital stock.

Science.gov (United States)

2010-01-01

... organizational structure. (j) A membership organization, including a trade association, cooperative, or... 11 Federal Elections 1 2010-01-01 2010-01-01 false Membership organizations, cooperatives, or... CORPORATE AND LABOR ORGANIZATION ACTIVITY § 114.7 Membership organizations, cooperatives, or corporations...

Council Membership Directory 1969.

Science.gov (United States)

Council of Organizations Serving the Deaf, Washington, DC.

Information is provided on the purposes, goals, functions, membership, board of directors, calendar of events, publications, and names and addresses of the officers or executive committees of 19 national organizations serving the deaf. Organizations included are the Council of Organizations Serving the Deaf, Alexander Graham Bell Association for…

Playful Membership

DEFF Research Database (Denmark)

Åkerstrøm Andersen, Niels; Pors, Justine Grønbæk

2014-01-01

This article studies the implications of current attempts by organizations to adapt to a world of constant change by introducing the notion of playful organizational membership. To this end we conduct a brief semantic history of organizational play and argue that when organizations play, employees...... are expected to engage in playful exploration of alternative selves. Drawing on Niklas Luhmann's theory of time and decision-making and Gregory Bateson's theory of play, the article analyses three empirical examples of how games play with conceptions of time. We explore how games represent an organizational...

45 CFR 1700.3 - Membership.

Science.gov (United States)

2010-10-01

... ORGANIZATION AND FUNCTIONS § 1700.3 Membership. (a) The Commission is composed of the Librarian of Congress, the Director of the Institute of Museum and Library Services (who serves as an ex officio, nonvoting...

Group membership and social identity in addiction recovery.

Science.gov (United States)

Buckingham, Sarah A; Frings, Daniel; Albery, Ian P

2013-12-01

Despite a growing interest in how group membership can positively impact health, little research has addressed directly the role social identity processes can have on recovery from addiction. Drawing on social identity theory and self-categorization theory, the present study investigated how recovery group membership can introduce a new social identity associated with recovery, compared to the social identity associated with addiction. We hypothesized that two processes--evaluative differentiation and identity preference--would be linked with higher self-efficacy and positive health outcomes (i.e., reduced relapse, lower levels of appetitive behavior, and elevated feelings of social connectedness [Study 2]). Study 1 recruited members (N = 61) from United Kingdom based mutual aid groups of Alcoholics Anonymous and Narcotics Anonymous. Study 2 recruited ex-smokers (N = 81) from online sources. In Study 1, evaluative differentiation was significantly related to lowered relapse and reduced appetitive behavior. Identity preference was related to higher levels of self-efficacy, which was related to months drug-free and reduced levels of appetitive behaviors. In Study 2, evaluative differentiation was related to identity preference. Identity preference was also related to higher self-efficacy, which in turn was related to lower relapse. Although exploratory, these results suggest that developing a social identity as a "recovering addict" or an "ex-smoker" and subsequently highlighting the difference between such identities may be a useful strategy for reducing relapse among people with problems associated with addictive behaviors. PsycINFO Database Record (c) 2013 APA, all rights reserved.

On PR group classes and PR algebra membership

International Nuclear Information System (INIS)

Lebedenko, V.M.

1978-01-01

The necessary and sufficient conditions are found for the membership of Lee algebras to PR algebra class, to algebras with commutation relations of [Hsub(i), Hsub(j)]=rsub(ij)Hsub(i) (i< j) type. Due to this, a criterion is obtained for the membership of the Lee froups to PR group classes, connected and simply connected Lee groups, which Lee algebras are PR algebras

Membership in fraternities and sororities, depression, and suicidal ideation.

Science.gov (United States)

Ridgway, Rachael; Tang, Connie; Lester, David

2014-06-01

College student membership in fraternities/sororities may have positive or negative effects on their behavior. This study investigated the relationships between fraternity/sorority membership, depression, and suicidal behavior. 293 undergraduate students (232 women, 61 men; M age = 22.6 yr., SD = 1.5, range = 18-24; 127 sorority sisters, 35 fraternity brothers) from a rural state college participated in the study. Depression, self-esteem and perceived social support were measured with the Beck Depression Inventory, the Rosenberg Self-esteem Scale, and the Multidimensional Scale of Perceived Social Support, respectively. Depression and suicidal ideation correlated negatively with self-esteem and perceived social support, but were not correlated with membership in fraternities/sororities.

Moral accounts and membership categorization in primary care medical interviews.

Science.gov (United States)

Dillon, Patrick J

2011-01-01

Although the link between health and morality has been well established, few studies have examined how issues of morality emerge and are addressed in primary care medical encounters. This paper addresses the need to examine morality as it is (re) constructed in everyday health care interactions. A Membership Categorization Analysis of 96 medical interviews reveals how patients orient to particular membership categories and distance themselves from others as a means of accounting (Buttny 1993; Scott and Lyman 1968) for morally questionable health behaviours. More specifically, this paper examines how patients use membership categorizations in order to achieve specific social identity(ies) (Schubert et al. 2009) through two primary strategies: defensive detailing and prioritizing alternative membership categories. Thus, this analysis tracks the emergence of cultural and moral knowledge about social life as it takes place in primary care medical encounters.

The death of marriage? The effects of new forms of legal recognition on marriage rates in the United States.

Science.gov (United States)

Dillender, Marcus

2014-04-01

Some conservative groups argue that allowing same-sex couples to marry reduces the value of marriage to opposite-sex couples. This article examines how changes in U.S. legal recognition laws occurring between 1995 and 2010 designed to include same-sex couples have altered marriage rates in the United States. Using a difference-in-differences strategy that compares how marriage rates change after legal recognition in U.S. states that alter legal recognition versus states that do not, I find no evidence that allowing same-sex couples to marry reduces the opposite-sex marriage rate. Although the opposite-sex marriage rate is unaffected by same-sex couples marrying, it decreases when domestic partnerships are available to opposite-sex couples.

An investigation of the effect of race-based social categorization on adults’ recognition of emotion

Science.gov (United States)

Reyes, B. Nicole; Segal, Shira C.

2018-01-01

Emotion recognition is important for social interaction and communication, yet previous research has identified a cross-cultural emotion recognition deficit: Recognition is less accurate for emotions expressed by individuals from a cultural group different than one’s own. The current study examined whether social categorization based on race, in the absence of cultural differences, influences emotion recognition in a diverse context. South Asian and White Canadians in the Greater Toronto Area completed an emotion recognition task that required them to identify the seven basic emotional expressions when posed by members of the same two groups, allowing us to tease apart the contributions of culture and social group membership. Contrary to our hypothesis, there was no mutual in-group advantage in emotion recognition: Participants were not more accurate at recognizing emotions posed by their respective racial in-groups. Both groups were more accurate at recognizing expressions when posed by South Asian faces, and White participants were more accurate overall compared to South Asian participants. These results suggest that in a diverse environment, categorization based on race alone does not lead to the creation of social out-groups in a way that negatively impacts emotion recognition. PMID:29474367

An investigation of the effect of race-based social categorization on adults' recognition of emotion.

Science.gov (United States)

Reyes, B Nicole; Segal, Shira C; Moulson, Margaret C

2018-01-01

Emotion recognition is important for social interaction and communication, yet previous research has identified a cross-cultural emotion recognition deficit: Recognition is less accurate for emotions expressed by individuals from a cultural group different than one's own. The current study examined whether social categorization based on race, in the absence of cultural differences, influences emotion recognition in a diverse context. South Asian and White Canadians in the Greater Toronto Area completed an emotion recognition task that required them to identify the seven basic emotional expressions when posed by members of the same two groups, allowing us to tease apart the contributions of culture and social group membership. Contrary to our hypothesis, there was no mutual in-group advantage in emotion recognition: Participants were not more accurate at recognizing emotions posed by their respective racial in-groups. Both groups were more accurate at recognizing expressions when posed by South Asian faces, and White participants were more accurate overall compared to South Asian participants. These results suggest that in a diverse environment, categorization based on race alone does not lead to the creation of social out-groups in a way that negatively impacts emotion recognition.

An investigation of the effect of race-based social categorization on adults' recognition of emotion.

Directory of Open Access Journals (Sweden)

B Nicole Reyes

Full Text Available Emotion recognition is important for social interaction and communication, yet previous research has identified a cross-cultural emotion recognition deficit: Recognition is less accurate for emotions expressed by individuals from a cultural group different than one's own. The current study examined whether social categorization based on race, in the absence of cultural differences, influences emotion recognition in a diverse context. South Asian and White Canadians in the Greater Toronto Area completed an emotion recognition task that required them to identify the seven basic emotional expressions when posed by members of the same two groups, allowing us to tease apart the contributions of culture and social group membership. Contrary to our hypothesis, there was no mutual in-group advantage in emotion recognition: Participants were not more accurate at recognizing emotions posed by their respective racial in-groups. Both groups were more accurate at recognizing expressions when posed by South Asian faces, and White participants were more accurate overall compared to South Asian participants. These results suggest that in a diverse environment, categorization based on race alone does not lead to the creation of social out-groups in a way that negatively impacts emotion recognition.

Target-context unitization effect on the familiarity-related FN400: a face recognition exclusion task.

Science.gov (United States)

Guillaume, Fabrice; Etienne, Yann

2015-03-01

Using two exclusion tasks, the present study examined how the ERP correlates of face recognition are affected by the nature of the information to be retrieved. Intrinsic (facial expression) and extrinsic (background scene) visual information were paired with face identity and constituted the exclusion criterion at test time. Although perceptual information had to be taken into account in both situations, the FN400 old-new effect was observed only for old target faces on the expression-exclusion task, whereas it was found for both old target and old non-target faces in the background-exclusion situation. These results reveal that the FN400, which is generally interpreted as a correlate of familiarity, was modulated by the retrieval of intra-item and intrinsic face information, but not by the retrieval of extrinsic information. The observed effects on the FN400 depended on the nature of the information to be retrieved and its relationship (unitization) to the recognition target. On the other hand, the parietal old-new effect (generally described as an ERP correlate of recollection) reflected the retrieval of both types of contextual features equivalently. The current findings are discussed in relation to recent controversies about the nature of the recognition processes reflected by the ERP correlates of face recognition. Copyright © 2015 Elsevier B.V. All rights reserved.

Face Recognition Method Based on Fuzzy 2DPCA

Directory of Open Access Journals (Sweden)

Xiaodong Li

2014-01-01

Full Text Available 2DPCA, which is one of the most important face recognition methods, is relatively sensitive to substantial variations in light direction, face pose, and facial expression. In order to improve the recognition performance of the traditional 2DPCA, a new 2DPCA algorithm based on the fuzzy theory is proposed in this paper, namely, the fuzzy 2DPCA (F2DPCA. In this method, applying fuzzy K-nearest neighbor (FKNN, the membership degree matrix of the training samples is calculated, which is used to get the fuzzy means of each class. The average of fuzzy means is then incorporated into the definition of the general scatter matrix with anticipation that it can improve classification result. The comprehensive experiments on the ORL, the YALE, and the FERET face database show that the proposed method can improve the classification rates and reduce the sensitivity to variations between face images caused by changes in illumination, face expression, and face pose.

Association between School Membership and Substance Use among Adolescents

Directory of Open Access Journals (Sweden)

Jorge Gaete

2018-02-01

Full Text Available BackgroundSubstance use among adolescents is a major problem worldwide, producing many health and economic consequences. Even though there are well-known personal, familial, and social factors associated with drug use, less is known about the effect of school-related factors. School membership is a recognized variable affecting academic performance among students; however, its effect on substance use is less understood.AimsThe primary aim of this study was to explore the association between school membership and cigarette, alcohol, and cannabis use among a representative sample of secondary students from municipal state-funded schools in Santiago of Chile, and secondly, to test the hypothesis that depressive or anxiety symptoms mediate this association.MethodsA total of 2,508 students from 22 state-funded schools in Santiago, Chile, answered a questionnaire. This instrument included an abbreviated version of the psychological sense of school membership (PSSM, questions regarding the use of alcohol, tobacco, and cannabis and scales of psychological functioning (depression, anxiety, self-concept, and problem-solving. The association analyses were performed using adjusted regression models for each outcome using all independent variables while controlling for gender and age. For the mediation effect, a combination of ordinary least square and logistic regression analyses was conducted.ResultsThere was an association between a strong PSSM and low risk for smoking (OR 0.57; 95% CI 0.46–0.72, drinking (0.65; 95% CI: 0.51–0.83, and cannabis use (0.52; 95% CI 0.37–0.74. We also found that depressive and anxiety symptoms do not fully mediate the association between school membership and any substance use, and 73% of this effect in the case of smoking, 80% in the case of drinking, and 78.5% in the case of cannabis use, was direct.ConclusionThis is the first study in Latin America exploring the association between school membership and substance use

Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty

CERN Document Server

Starczewski, Janusz T

2013-01-01

This book generalizes fuzzy logic systems for different types of uncertainty, including - semantic ambiguity resulting from limited perception or lack of knowledge about exact membership functions - lack of attributes or granularity arising from discretization of real data - imprecise description of membership functions - vagueness perceived as fuzzification of conditional attributes. Consequently, the membership uncertainty can be modeled by combining methods of conventional and type-2 fuzzy logic, rough set theory and possibility theory.            In particular, this book provides a number of formulae for implementing the operation extended on fuzzy-valued fuzzy sets and presents some basic structures of generalized uncertain fuzzy logic systems, as well as introduces several of methods to generate fuzzy membership uncertainty. It is desirable as a reference book for under-graduates in higher education, master and doctor graduates in the courses of computer science, computational intelligence, or...

48 CFR 9901.304 - Membership.

Science.gov (United States)

2010-10-01

... Administrator. (d) An individual who is particularly knowledgeable about cost accounting problems and systems... Section 9901.304 Federal Acquisition Regulations System COST ACCOUNTING STANDARDS BOARD, OFFICE OF FEDERAL PROCUREMENT POLICY, OFFICE OF MANAGEMENT AND BUDGET ADMINISTRATION RULES AND PROCEDURES 9901.304 Membership...

In search of self-awareness: results of the National Lipid Association 2010 Lipid Pulse membership survey.

Science.gov (United States)

Orringer, Carl E; Robinson, Jennifer G; La Forge, Ralph; Seymour, Christopher R

2011-01-01

In 2010 a survey of the National Lipid Association (NLA) membership was developed and launched with the objective of exploring the demographics, practice patterns, and educational needs of the health professionals in our organization involved in the practice of clinical lipidology. To report the results of this survey and use this information to enable the organization to better serve the needs of our membership. A 30-question survey was administered to the NLA membership before and shortly after the Annual Scientific Sessions in May, 2010. Demographic information, test ordering patterns, educational needs and resources, and technology awareness of 640 valid respondents was assessed. The respondents represent a balanced mix of practitioners in rural and metropolitan population centers throughout the United States. Physicians represent 67%, nurse practitioners and physician assistants 16%, and pharmacists 8% of the respondents. Among physicians, 50% are internal medicine or family medicine specialists, 32% cardiologists, and 11% endocrinologists. Most working in lipid clinics reported that their clinic was financially solvent. The respondents believed that adjunctive lipoprotein testing was clinically useful in risk prediction. The greatest educational needs included statin intolerance; strategies for improving compliance; metabolic syndrome; and lipoprotein particle and apolipoprotein B concentration. The most important sources of lipid information were the Journal of Clinical Lipidology and the NLA Annual Scientific Sessions. The survey provided valuable information that may be used to better serve the practice and educational needs of the membership of the NLA. Copyright © 2011 National Lipid Association. Published by Elsevier Inc. All rights reserved.

15 CFR 8a.215 - Membership practices of certain organizations.

Science.gov (United States)

2010-01-01

... 15 Commerce and Foreign Trade 1 2010-01-01 2010-01-01 false Membership practices of certain organizations. 8a.215 Section 8a.215 Commerce and Foreign Trade Office of the Secretary of Commerce... Coverage § 8a.215 Membership practices of certain organizations. (a) Social fraternities and sororities...

Growth effects of EU and EZ memberships

DEFF Research Database (Denmark)

Dreyer, Johannes Kabderian; Schmid, Peter A.

2017-01-01

of economic integration in Europe. The aim of this article is to investigate whether EU and EZ memberships enhance growth for their members. In order to perform our empirical analysis, we estimate different growth models restricting the time frame to the first 15 years of the Euro - from 1999 to 2013. We find...... a positive impact of EU membership on economic growth, but no impact of being part of the EZ, except during the financial crisis, when the EZ has a negative impact on growth amongst its members. Considering the heated political debate related to the Brexit referendum, our results favour a “yes” to the EU...

Does generalized social trust lead to associational membership? Unraveling a bowl of well-tossed spaghetti

DEFF Research Database (Denmark)

Sønderskov, Kim Mannemar

2011-01-01

Within the social capital literature it is often assumed that membership of voluntary associations causes generalized social trust and not the other way around. This study challenges this assumption by investigating if generalized social trust causes membership in a novel design that yields valid...... provide rare individual level evidence for a connection between generalized social trust and collective action in that generalized social trust in particular increases membership of associations producing public goods....... results despite possible feed-back effects from membership to trust. Using individual level data from several countries, the paper shows that trust does increase membership. Treating associational membership as exogenous to trust produces biased results, it is therefore concluded. Moreover, the study...

Does generalized social trust lead to associational membership? Unraveling a bowl of well-tossed spaghetti

DEFF Research Database (Denmark)

Sønderskov, Kim Mannemar

Within the social capital literature it is often assumed that membership of voluntary associations causes generalized social trust and not the other way around. This study challenges this assumption by investigating if generalized social trust causes membership in a novel design that yields valid....... Moreover, the study provide rare individual level evidence for a connection between generalized social trust and collective action in that generalized social trust in particular increases membership of associations producing public goods....... results despite possible feed-back effects from membership to trust. Using both individual and country level data in a multilevel analysis, the paper shows that trust does increase membership. Treating associational membership as exogenous to trust produces biased results, it is therefore concluded...

Facial Action Unit Recognition under Incomplete Data Based on Multi-label Learning with Missing Labels

KAUST Repository

Li, Yongqiang

2016-07-07

Facial action unit (AU) recognition has been applied in a wild range of fields, and has attracted great attention in the past two decades. Most existing works on AU recognition assumed that the complete label assignment for each training image is available, which is often not the case in practice. Labeling AU is expensive and time consuming process. Moreover, due to the AU ambiguity and subjective difference, some AUs are difficult to label reliably and confidently. Many AU recognition works try to train the classifier for each AU independently, which is of high computation cost and ignores the dependency among different AUs. In this work, we formulate AU recognition under incomplete data as a multi-label learning with missing labels (MLML) problem. Most existing MLML methods usually employ the same features for all classes. However, we find this setting is unreasonable in AU recognition, as the occurrence of different AUs produce changes of skin surface displacement or face appearance in different face regions. If using the shared features for all AUs, much noise will be involved due to the occurrence of other AUs. Consequently, the changes of the specific AUs cannot be clearly highlighted, leading to the performance degradation. Instead, we propose to extract the most discriminative features for each AU individually, which are learned by the supervised learning method. The learned features are further embedded into the instance-level label smoothness term of our model, which also includes the label consistency and the class-level label smoothness. Both a global solution using st-cut and an approximated solution using conjugate gradient (CG) descent are provided. Experiments on both posed and spontaneous facial expression databases demonstrate the superiority of the proposed method in comparison with several state-of-the-art works.

Facial Action Unit Recognition under Incomplete Data Based on Multi-label Learning with Missing Labels

KAUST Repository

Li, Yongqiang; Wu, Baoyuan; Ghanem, Bernard; Zhao, Yongping; Yao, Hongxun; Ji, Qiang

2016-01-01

Facial action unit (AU) recognition has been applied in a wild range of fields, and has attracted great attention in the past two decades. Most existing works on AU recognition assumed that the complete label assignment for each training image is available, which is often not the case in practice. Labeling AU is expensive and time consuming process. Moreover, due to the AU ambiguity and subjective difference, some AUs are difficult to label reliably and confidently. Many AU recognition works try to train the classifier for each AU independently, which is of high computation cost and ignores the dependency among different AUs. In this work, we formulate AU recognition under incomplete data as a multi-label learning with missing labels (MLML) problem. Most existing MLML methods usually employ the same features for all classes. However, we find this setting is unreasonable in AU recognition, as the occurrence of different AUs produce changes of skin surface displacement or face appearance in different face regions. If using the shared features for all AUs, much noise will be involved due to the occurrence of other AUs. Consequently, the changes of the specific AUs cannot be clearly highlighted, leading to the performance degradation. Instead, we propose to extract the most discriminative features for each AU individually, which are learned by the supervised learning method. The learned features are further embedded into the instance-level label smoothness term of our model, which also includes the label consistency and the class-level label smoothness. Both a global solution using st-cut and an approximated solution using conjugate gradient (CG) descent are provided. Experiments on both posed and spontaneous facial expression databases demonstrate the superiority of the proposed method in comparison with several state-of-the-art works.

Where Are the Women? The Underrepresentation of Women Physicians Among Recognition Award Recipients From Medical Specialty Societies.

Science.gov (United States)

Silver, Julie K; Slocum, Chloe S; Bank, Anna M; Bhatnagar, Saurabha; Blauwet, Cheri A; Poorman, Julie A; Villablanca, Amparo; Parangi, Sareh

2017-08-01

Membership in medical societies is associated with a number of benefits to members that may include professional education, opportunities to present research, scientific and/or leadership training, networking, and others. In this perspective article, the authors address the value that medical specialty society membership and inclusion have in the development of an academic physician's career and how underrepresentation of women may pose barriers to their career advancement. Because society membership itself is not likely sufficient to support the advancement of academic physicians, this report focuses on one key component of advancement that also can be used as a measure of inclusion in society activities-the representation of women physicians among recipients of recognition awards. Previous reports demonstrated underrepresentation of women physicians among recognition award recipients from 2 physical medicine and rehabilitation specialty organizations, including examples of zero or near-zero results. This report investigated whether zero or near-zero representation of women physicians among recognition award recipients from medical specialty societies extended beyond the field of physical medicine and rehabilitation. Examples of the underrepresentation of women physicians, as compared with their presence in the respective field, was found across a range of additional specialties, including dermatology, neurology, anesthesiology, orthopedic surgery, head and neck surgery, and plastic surgery. The authors propose a call for action across the entire spectrum of medical specialty societies to: (1) examine gender diversity and inclusion data through the lens of the organization's mission, values, and culture; (2) transparently report the results to members and other stakeholders including medical schools and academic medical centers; (3) investigate potential causes of less than proportionate representation of women; (4) implement strategies designed to improve

Long-term consequences of adolescent gang membership for adult functioning.

Science.gov (United States)

Gilman, Amanda B; Hill, Karl G; Hawkins, J David

2014-05-01

We examined the possible public health consequences of adolescent gang membership for adult functioning. Data were drawn from the Seattle Social Development Project, a longitudinal study focusing on the development of positive and problem outcomes. Using propensity score matching and logistic regression analyses, we assessed the effects of adolescent gang membership on illegal behavior, educational and occupational attainment, and physical and mental health at the ages of 27, 30, and 33 years. In comparison with their nongang peers, who had been matched on 23 confounding risk variables known to be related to selection into gang membership, those who had joined a gang in adolescence had poorer outcomes in multiple areas of adult functioning, including higher rates of self-reported crime, receipt of illegal income, incarceration, drug abuse or dependence, poor general health, and welfare receipt and lower rates of high school graduation. The finding that adolescent gang membership has significant consequences in adulthood beyond criminal behavior indicates the public health importance of the development of effective gang prevention programs.

16 CFR 1031.12 - Membership criteria.

Science.gov (United States)

2010-01-01

... Commercial Practices CONSUMER PRODUCT SAFETY COMMISSION GENERAL COMMISSION PARTICIPATION AND COMMISSION EMPLOYEE INVOLVEMENT IN VOLUNTARY STANDARDS ACTIVITIES Employee Involvement § 1031.12 Membership criteria. (a) The Commissioners, their special assistants, and Commission officials and employees holding the...

Role of pattern recognition receptors of the neurovascular unit in inflamm-aging.

Science.gov (United States)

Wilhelm, Imola; Nyúl-Tóth, Ádám; Kozma, Mihály; Farkas, Attila E; Krizbai, István A

2017-11-01

Aging is associated with chronic inflammation partly mediated by increased levels of damage-associated molecular patterns, which activate pattern recognition receptors (PRRs) of the innate immune system. Furthermore, many aging-related disorders are associated with inflammation. PRRs, such as Toll-like receptors (TLRs) and nucleotide-binding oligomerization domain-like receptors (NLRs), are expressed not only in cells of the innate immune system but also in other cells, including cells of the neurovascular unit and cerebral vasculature forming the blood-brain barrier. In this review, we summarize our present knowledge about the relationship between activation of PRRs expressed by cells of the neurovascular unit-blood-brain barrier, chronic inflammation, and aging-related pathologies of the brain. The most important damage-associated molecular pattern-sensing PRRs in the brain are TLR2, TLR4, and NLR family pyrin domain-containing protein-1 and pyrin domain-containing protein-3, which are activated during physiological and pathological aging in microglia, neurons, astrocytes, and possibly endothelial cells and pericytes. Copyright © 2017 the American Physiological Society.

Face recognition performance of individuals with Asperger syndrome on the Cambridge Face Memory Test.

Science.gov (United States)

Hedley, Darren; Brewer, Neil; Young, Robyn

2011-12-01

Although face recognition deficits in individuals with Autism Spectrum Disorder (ASD), including Asperger syndrome (AS), are widely acknowledged, the empirical evidence is mixed. This in part reflects the failure to use standardized and psychometrically sound tests. We contrasted standardized face recognition scores on the Cambridge Face Memory Test (CFMT) for 34 individuals with AS with those for 42, IQ-matched non-ASD individuals, and age-standardized scores from a large Australian cohort. We also examined the influence of IQ, autistic traits, and negative affect on face recognition performance. Overall, participants with AS performed significantly worse on the CFMT than the non-ASD participants and when evaluated against standardized test norms. However, while 24% of participants with AS presented with severe face recognition impairment (>2 SDs below the mean), many individuals performed at or above the typical level for their age: 53% scored within +/- 1 SD of the mean and 9% demonstrated superior performance (>1 SD above the mean). Regression analysis provided no evidence that IQ, autistic traits, or negative affect significantly influenced face recognition: diagnostic group membership was the only significant predictor of face recognition performance. In sum, face recognition performance in ASD is on a continuum, but with average levels significantly below non-ASD levels of performance. Copyright © 2011, International Society for Autism Research, Wiley-Liss, Inc.

The Role of Antibody in Korean Word Recognition

Science.gov (United States)

Lee, Chang Hwan; Lee, Yoonhyoung; Kim, Kyungil

2010-01-01

A subsyllabic phonological unit, the antibody, has received little attention as a potential fundamental processing unit in word recognition. The psychological reality of the antibody in Korean recognition was investigated by looking at the performance of subjects presented with nonwords and words in the lexical decision task. In Experiment 1, the…

When Is Group Membership Zero-Sum? Effects of Ethnicity, Threat, and Social Identity on Dual National Identity.

Directory of Open Access Journals (Sweden)

Michael Smithson

Full Text Available This paper presents an investigation into marginalizing racism, a form of prejudice whereby ingroup members claim that specific individuals belong to their group, but also exclude them by not granting them all of the privileges of a full ingroup member. One manifestation of this is that perceived degree of outgroup membership will covary negatively with degree of ingroup membership. That is, group membership may be treated as a zero-sum quantity (e.g., one cannot be both Australian and Iraqi. Study 1 demonstrated that judges allocate more zero-sum membership assignments and lower combined membership in their country of origin and their adopted country to high-threat migrants than low-threat migrants. Study 2 identified a subtle type of zero-sum reasoning which holds that stronger degree of membership in one's original nationality constrains membership in a new nationality to a greater extent than stronger membership in the new nationality constrains membership in one's original nationality. This pattern is quite general, being replicated in large samples from four nations (USA, UK, India, and China. Taken together, these studies suggest that marginalizing racism is more than a belief that people retain a "stain" from membership in their original group. Marginalizing racism also manifests itself as conditional zero-sum beliefs about multiple group memberships.

The Prospects of Membership in International Organizations: The Case of Kosovo

Directory of Open Access Journals (Sweden)

Ardian Emini

2016-12-01

Full Text Available The purpose of this paper is to analyze the perspective of Kosovo and its membership in international organizations. There are three pillars upon which the analysis of the paper is built. Initially the general question of theoretical frameworks in general the organizations which focus on the elaboration of the very concept of statehood and state-building in general and specifically on Kosovo. The final section deals with a range of behaviors and initiatives of countries in general and the challenges for membership in international organizations. With the aim of contextualizing the subject, the paper focuses on the case of Kosovo state and membership in international organizations with a view to strengthening the international subjectivity and security in the international arena. Finally, the paper concludes that the importance of the accession countries, namely Kosovo's membership in international organizations, and the use of multilateral diplomacy are vital to their safety and welfare.

75 FR 71417 - Manufacturing Council Membership

Science.gov (United States)

2010-11-23

... DEPARTMENT OF COMMERCE International Trade Administration Manufacturing Council Membership AGENCY... marketing programs in support of manufacturing industries, job creation in the manufacturing sector, or the... their travel, living and other personal expenses. Meetings are held regularly and not less than annually...

Automatic anatomy recognition in whole-body PET/CT images

Energy Technology Data Exchange (ETDEWEB)

Wang, Huiqian [College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China and Medical Image Processing Group Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104 (United States); Udupa, Jayaram K., E-mail: jay@mail.med.upenn.edu; Odhner, Dewey; Tong, Yubing; Torigian, Drew A. [Medical Image Processing Group Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104 (United States); Zhao, Liming [Medical Image Processing Group Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104 and Research Center of Intelligent System and Robotics, Chongqing University of Posts and Telecommunications, Chongqing 400065 (China)

2016-01-15

Purpose: Whole-body positron emission tomography/computed tomography (PET/CT) has become a standard method of imaging patients with various disease conditions, especially cancer. Body-wide accurate quantification of disease burden in PET/CT images is important for characterizing lesions, staging disease, prognosticating patient outcome, planning treatment, and evaluating disease response to therapeutic interventions. However, body-wide anatomy recognition in PET/CT is a critical first step for accurately and automatically quantifying disease body-wide, body-region-wise, and organwise. This latter process, however, has remained a challenge due to the lower quality of the anatomic information portrayed in the CT component of this imaging modality and the paucity of anatomic details in the PET component. In this paper, the authors demonstrate the adaptation of a recently developed automatic anatomy recognition (AAR) methodology [Udupa et al., “Body-wide hierarchical fuzzy modeling, recognition, and delineation of anatomy in medical images,” Med. Image Anal. 18, 752–771 (2014)] to PET/CT images. Their goal was to test what level of object localization accuracy can be achieved on PET/CT compared to that achieved on diagnostic CT images. Methods: The authors advance the AAR approach in this work in three fronts: (i) from body-region-wise treatment in the work of Udupa et al. to whole body; (ii) from the use of image intensity in optimal object recognition in the work of Udupa et al. to intensity plus object-specific texture properties, and (iii) from the intramodality model-building-recognition strategy to the intermodality approach. The whole-body approach allows consideration of relationships among objects in different body regions, which was previously not possible. Consideration of object texture allows generalizing the previous optimal threshold-based fuzzy model recognition method from intensity images to any derived fuzzy membership image, and in the process

Automatic anatomy recognition in whole-body PET/CT images

International Nuclear Information System (INIS)

Wang, Huiqian; Udupa, Jayaram K.; Odhner, Dewey; Tong, Yubing; Torigian, Drew A.; Zhao, Liming

2016-01-01

Purpose: Whole-body positron emission tomography/computed tomography (PET/CT) has become a standard method of imaging patients with various disease conditions, especially cancer. Body-wide accurate quantification of disease burden in PET/CT images is important for characterizing lesions, staging disease, prognosticating patient outcome, planning treatment, and evaluating disease response to therapeutic interventions. However, body-wide anatomy recognition in PET/CT is a critical first step for accurately and automatically quantifying disease body-wide, body-region-wise, and organwise. This latter process, however, has remained a challenge due to the lower quality of the anatomic information portrayed in the CT component of this imaging modality and the paucity of anatomic details in the PET component. In this paper, the authors demonstrate the adaptation of a recently developed automatic anatomy recognition (AAR) methodology [Udupa et al., “Body-wide hierarchical fuzzy modeling, recognition, and delineation of anatomy in medical images,” Med. Image Anal. 18, 752–771 (2014)] to PET/CT images. Their goal was to test what level of object localization accuracy can be achieved on PET/CT compared to that achieved on diagnostic CT images. Methods: The authors advance the AAR approach in this work in three fronts: (i) from body-region-wise treatment in the work of Udupa et al. to whole body; (ii) from the use of image intensity in optimal object recognition in the work of Udupa et al. to intensity plus object-specific texture properties, and (iii) from the intramodality model-building-recognition strategy to the intermodality approach. The whole-body approach allows consideration of relationships among objects in different body regions, which was previously not possible. Consideration of object texture allows generalizing the previous optimal threshold-based fuzzy model recognition method from intensity images to any derived fuzzy membership image, and in the process

Facial Action Units Recognition: A Comparative Study

NARCIS (Netherlands)

Popa, M.C.; Rothkrantz, L.J.M.; Wiggers, P.; Braspenning, R.A.C.; Shan, C.

2011-01-01

Many approaches to facial expression recognition focus on assessing the six basic emotions (anger, disgust, happiness, fear, sadness, and surprise). Real-life situations proved to produce many more subtle facial expressions. A reliable way of analyzing the facial behavior is the Facial Action Coding

78 FR 30737 - Irish Potatoes Grown in Colorado; Reestablishment of Membership on the Colorado Potato...

Science.gov (United States)

2013-05-23

... FR] Irish Potatoes Grown in Colorado; Reestablishment of Membership on the Colorado Potato...: This final rule reestablishes the membership on the Colorado Potato Administrative Committee, Area No... Irish potatoes grown in Colorado. This action modifies the Committee membership structure by amending...

16 CFR 1018.16 - Membership selection.

Science.gov (United States)

2010-01-01

....16 Commercial Practices CONSUMER PRODUCT SAFETY COMMISSION GENERAL ADVISORY COMMITTEE MANAGEMENT... volunteer, that bear any relationship to the subject area of product safety or to membership on the advisory... qualified, staff members of the Commission, including the Advisory Committee Management Officer. (d) The...

Cookies as agents for community membership

Science.gov (United States)

Rodriguez, Idaykis; Goertzen, Renee Michelle; Brewe, Eric; Kramer, Laird

2013-01-01

When becoming a member of a community of practice, a novice must adopt certain community norms to participate, and these include the social norms of the group. Using the analytical perspective of Legitimate Peripheral Participation in a Community of Practice, this paper explores the social role of cookies as agents for community participation and membership in a physics research group. We analyze data from an ethnographic case study of a physics research group weekly research meeting. The mentors bring cookies to each meeting and view the cookies as a token of appreciation for the graduate students' work. These cookies take on a subtler role of initiating guests and students into scientific conversations and participation. Via the cookies, members also share personal histories and stories that help members strengthen their membership. The study of social norms in this research group is part of a larger study of physics expert identity development.

Self-organization comprehensive real-time state evaluation model for oil pump unit on the basis of operating condition classification and recognition

Science.gov (United States)

Liang, Wei; Yu, Xuchao; Zhang, Laibin; Lu, Wenqing

2018-05-01

In oil transmission station, the operating condition (OC) of an oil pump unit sometimes switches accordingly, which will lead to changes in operating parameters. If not taking the switching of OCs into consideration while performing a state evaluation on the pump unit, the accuracy of evaluation would be largely influenced. Hence, in this paper, a self-organization Comprehensive Real-Time State Evaluation Model (self-organization CRTSEM) is proposed based on OC classification and recognition. However, the underlying model CRTSEM is built through incorporating the advantages of Gaussian Mixture Model (GMM) and Fuzzy Comprehensive Evaluation Model (FCEM) first. That is to say, independent state models are established for every state characteristic parameter according to their distribution types (i.e. the Gaussian distribution and logistic regression distribution). Meanwhile, Analytic Hierarchy Process (AHP) is utilized to calculate the weights of state characteristic parameters. Then, the OC classification is determined by the types of oil delivery tasks, and CRTSEMs of different standard OCs are built to constitute the CRTSEM matrix. On the other side, the OC recognition is realized by a self-organization model that is established on the basis of Back Propagation (BP) model. After the self-organization CRTSEM is derived through integration, real-time monitoring data can be inputted for OC recognition. At the end, the current state of the pump unit can be evaluated by using the right CRTSEM. The case study manifests that the proposed self-organization CRTSEM can provide reasonable and accurate state evaluation results for the pump unit. Besides, the assumption that the switching of OCs will influence the results of state evaluation is also verified.

22 CFR 225.107 - IRB membership.

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2010-04-01

... Relations AGENCY FOR INTERNATIONAL DEVELOPMENT PROTECTION OF HUMAN SUBJECTS § 225.107 IRB membership. (a..., to promote respect for its advice and counsel in safeguarding the rights and welfare of human... individuals who are knowledgeable about and experienced in working with these subjects. (b) Every...

12 CFR 725.6 - Termination of membership.

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2010-01-01

... CREDIT UNION ADMINISTRATION CENTRAL LIQUIDITY FACILITY § 725.6 Termination of membership. (a) A member of... member has failed to comply with any provision of the National Credit Union Central Liquidity Facility...

Having a Lot of a Good Thing: Multiple Important Group Memberships as a Source of Self-Esteem

Science.gov (United States)

Jetten, Jolanda; Branscombe, Nyla R.; Haslam, S. Alexander; Haslam, Catherine; Cruwys, Tegan; Jones, Janelle M.; Cui, Lijuan; Dingle, Genevieve; Liu, James; Murphy, Sean; Thai, Anh; Walter, Zoe; Zhang, Airong

2015-01-01

Membership in important social groups can promote a positive identity. We propose and test an identity resource model in which personal self-esteem is boosted by membership in additional important social groups. Belonging to multiple important group memberships predicts personal self-esteem in children (Study 1a), older adults (Study 1b), and former residents of a homeless shelter (Study 1c). Study 2 shows that the effects of multiple important group memberships on personal self-esteem are not reducible to number of interpersonal ties. Studies 3a and 3b provide longitudinal evidence that multiple important group memberships predict personal self-esteem over time. Studies 4 and 5 show that collective self-esteem mediates this effect, suggesting that membership in multiple important groups boosts personal self-esteem because people take pride in, and derive meaning from, important group memberships. Discussion focuses on when and why important group memberships act as a social resource that fuels personal self-esteem. PMID:26017554

Having a lot of a good thing: multiple important group memberships as a source of self-esteem.

Directory of Open Access Journals (Sweden)

Jolanda Jetten

Full Text Available Membership in important social groups can promote a positive identity. We propose and test an identity resource model in which personal self-esteem is boosted by membership in additional important social groups. Belonging to multiple important group memberships predicts personal self-esteem in children (Study 1a, older adults (Study 1b, and former residents of a homeless shelter (Study 1c. Study 2 shows that the effects of multiple important group memberships on personal self-esteem are not reducible to number of interpersonal ties. Studies 3a and 3b provide longitudinal evidence that multiple important group memberships predict personal self-esteem over time. Studies 4 and 5 show that collective self-esteem mediates this effect, suggesting that membership in multiple important groups boosts personal self-esteem because people take pride in, and derive meaning from, important group memberships. Discussion focuses on when and why important group memberships act as a social resource that fuels personal self-esteem.

Improved Membership Probability for Moving Groups: Bayesian and Machine Learning Approaches

Science.gov (United States)

Lee, Jinhee; Song, Inseok

2018-01-01

Gravitationally unbound loose stellar associations (i.e., young nearby moving groups: moving groups hereafter) have been intensively explored because they are important in planet and disk formation studies, exoplanet imaging, and age calibration. Among the many efforts devoted to the search for moving group members, a Bayesian approach (e.g.,using the code BANYAN) has become popular recently because of the many advantages it offers. However, the resultant membership probability needs to be carefully adopted because of its sensitive dependence on input models. In this study, we have developed an improved membership calculation tool focusing on the beta-Pic moving group. We made three improvements for building models used in BANYAN II: (1) updating a list of accepted members by re-assessing memberships in terms of position, motion, and age, (2) investigating member distribution functions in XYZ, and (3) exploring field star distribution functions in XYZUVW. Our improved tool can change membership probability up to 70%. Membership probability is critical and must be better defined. For example, our code identifies only one third of the candidate members in SIMBAD that are believed to be kinematically associated with beta-Pic moving group.Additionally, we performed cluster analysis of young nearby stars using an unsupervised machine learning approach. As more moving groups and their members are identified, the complexity and ambiguity in moving group configuration has been increased. To clarify this issue, we analyzed ~4,000 X-ray bright young stellar candidates. Here, we present the preliminary results. By re-identifying moving groups with the least human intervention, we expect to understand the composition of the solar neighborhood. Moreover better defined moving group membership will help us understand star formation and evolution in relatively low density environments; especially for the low-mass stars which will be identified in the coming Gaia release.

KECK/LRIS SPECTROSCOPIC CONFIRMATION OF COMA CLUSTER DWARF GALAXY MEMBERSHIP ASSIGNMENTS

International Nuclear Information System (INIS)

Chiboucas, Kristin; Tully, R. Brent; Marzke, Ronald O.; Trentham, Neil; Ferguson, Henry C.; Hammer, Derek; Carter, David; Khosroshahi, Habib

2010-01-01

Keck/LRIS multi-object spectroscopy has been carried out on 140 of some of the lowest and highest surface brightness faint (19 < R < 22) dwarf galaxy candidates in the core region of the Coma Cluster. These spectra are used to measure redshifts and establish membership for these faint dwarf populations. The primary goal of the low surface brightness sample is to test our ability to use morphological and surface brightness criteria to distinguish between Coma Cluster members and background galaxies using high resolution Hubble Space Telescope/Advanced Camera for Surveys images. Candidates were rated as expected members, uncertain, or expected background. From 93 spectra, 51 dwarf galaxy members and 20 background galaxies are identified. Our morphological membership estimation success rate is ∼100% for objects expected to be members and better than ∼90% for galaxies expected to be in the background. We confirm that low surface brightness is a very good indicator of cluster membership. High surface brightness galaxies are almost always background with confusion arising only from the cases of the rare compact elliptical (cE) galaxies. The more problematic cases occur at intermediate surface brightness. Many of these galaxies are given uncertain membership ratings, and these were found to be members about half of the time. Including color information will improve membership determination but will fail for some of the same objects that are already misidentified when using only surface brightness and morphology criteria. cE galaxies with B-V colors ∼0.2 mag redward of the red sequence in particular require spectroscopic follow up. In a sample of 47 high surface brightness, ultracompact dwarf candidates, 19 objects have redshifts which place them in the Coma Cluster, while another 6 have questionable redshift measurements but may also prove to be members. Redshift measurements are presented and the use of indirect means for establishing cluster membership is

Probabilistic Open Set Recognition

Science.gov (United States)

Jain, Lalit Prithviraj

Real-world tasks in computer vision, pattern recognition and machine learning often touch upon the open set recognition problem: multi-class recognition with incomplete knowledge of the world and many unknown inputs. An obvious way to approach such problems is to develop a recognition system that thresholds probabilities to reject unknown classes. Traditional rejection techniques are not about the unknown; they are about the uncertain boundary and rejection around that boundary. Thus traditional techniques only represent the "known unknowns". However, a proper open set recognition algorithm is needed to reduce the risk from the "unknown unknowns". This dissertation examines this concept and finds existing probabilistic multi-class recognition approaches are ineffective for true open set recognition. We hypothesize the cause is due to weak adhoc assumptions combined with closed-world assumptions made by existing calibration techniques. Intuitively, if we could accurately model just the positive data for any known class without overfitting, we could reject the large set of unknown classes even under this assumption of incomplete class knowledge. For this, we formulate the problem as one of modeling positive training data by invoking statistical extreme value theory (EVT) near the decision boundary of positive data with respect to negative data. We provide a new algorithm called the PI-SVM for estimating the unnormalized posterior probability of class inclusion. This dissertation also introduces a new open set recognition model called Compact Abating Probability (CAP), where the probability of class membership decreases in value (abates) as points move from known data toward open space. We show that CAP models improve open set recognition for multiple algorithms. Leveraging the CAP formulation, we go on to describe the novel Weibull-calibrated SVM (W-SVM) algorithm, which combines the useful properties of statistical EVT for score calibration with one-class and binary

40 CFR 26.107 - IRB membership.

Science.gov (United States)

2010-07-01

... Protection of Environment ENVIRONMENTAL PROTECTION AGENCY GENERAL PROTECTION OF HUMAN SUBJECTS Basic EPA Policy for Protection of Subjects in Human Research Conducted or Supported by EPA § 26.107 IRB membership..., to promote respect for its advice and counsel in safeguarding the rights and welfare of human...

16 CFR 1018.15 - Membership composition.

Science.gov (United States)

2010-01-01

... specified in section 20 of the Federal Hazardous Substances Act, as amended (Pub. L. 95-631, 92 Stat. 3747... 16 Commercial Practices 2 2010-01-01 2010-01-01 false Membership composition. 1018.15 Section 1018.15 Commercial Practices CONSUMER PRODUCT SAFETY COMMISSION GENERAL ADVISORY COMMITTEE MANAGEMENT...

49 CFR 11.107 - IRB membership.

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2010-10-01

... Transportation Office of the Secretary of Transportation PROTECTION OF HUMAN SUBJECTS § 11.107 IRB membership. (a..., to promote respect for its advice and counsel in safeguarding the rights and welfare of human... individuals who are knowledgeable about and experienced in working with these subjects. (b) Every...

Rejected applications: an early American Academy of Neurology struggles to define its membership.

Science.gov (United States)

Louis, Elan D

2014-07-22

To review membership application materials (especially rejected applications) to the American Academy of Neurology (AAN) during its formative years (1947-1953). Detailed study of materials in the AAN Historical Collection. The author identified 73 rejected applications. Rejected applicants (71 male, 2 female) lived in 25 states. The largest number was for the Associate membership category (49). These were individuals "in related fields who have made and are making contributions to the field of neurology." By contrast, few applicants to Active membership or Fellowship status were rejected. The largest numbers of rejectees were neuropsychiatrists (19), neurosurgeons (16), and psychiatrists (14). The AAN, established in the late 1940s, was a small and politically vulnerable organization. A defining feature of the fledgling society was its inclusiveness; its membership was less restrictive than that of the older American Neurological Association. At the same time, the society needed to preserve its core as a neurologic society rather than one of psychiatry or neurosurgery. Hence, the balance between inclusiveness and exclusive identity was a difficult one to maintain. The Associate membership category, more than any other, was at the heart of this issue of self-definition. Associate members were largely practitioners of psychiatry or neurosurgery. Their membership was a source of consternation and was to be carefully been held in check during these critical formative years. © 2014 American Academy of Neurology.

Membership ballots and the value of intra-party democracy

DEFF Research Database (Denmark)

Wolkenstein, Fabio

2016-01-01

On the face of it, membership ballots present a clear case in which intra- party democracy comes into collision with core principles of representative democracy: they weaken the autonomy of representatives, and undermine the authority of the voters. In this article, I investigate whether this is ......On the face of it, membership ballots present a clear case in which intra- party democracy comes into collision with core principles of representative democracy: they weaken the autonomy of representatives, and undermine the authority of the voters. In this article, I investigate whether...

45 CFR 46.107 - IRB membership.

Science.gov (United States)

2010-10-01

... Welfare DEPARTMENT OF HEALTH AND HUMAN SERVICES GENERAL ADMINISTRATION PROTECTION OF HUMAN SUBJECTS Basic HHS Policy for Protection of Human Research Subjects § 46.107 IRB membership. (a) Each IRB shall have... respect for its advice and counsel in safeguarding the rights and welfare of human subjects. In addition...

78 FR 77103 - United States Travel and Tourism Advisory Board

Science.gov (United States)

2013-12-20

... DEPARTMENT OF COMMERCE International Trade Administration United States Travel and Tourism... extended deadline for application for membership on the United States Travel and Tourism Advisory Board... Travel and Tourism Advisory Board (Board). The November 25, 2013 notice provided that all applications...

Genetic specificity of face recognition.

Science.gov (United States)

Shakeshaft, Nicholas G; Plomin, Robert

2015-10-13

Specific cognitive abilities in diverse domains are typically found to be highly heritable and substantially correlated with general cognitive ability (g), both phenotypically and genetically. Recent twin studies have found the ability to memorize and recognize faces to be an exception, being similarly heritable but phenotypically substantially uncorrelated both with g and with general object recognition. However, the genetic relationships between face recognition and other abilities (the extent to which they share a common genetic etiology) cannot be determined from phenotypic associations. In this, to our knowledge, first study of the genetic associations between face recognition and other domains, 2,000 18- and 19-year-old United Kingdom twins completed tests assessing their face recognition, object recognition, and general cognitive abilities. Results confirmed the substantial heritability of face recognition (61%), and multivariate genetic analyses found that most of this genetic influence is unique and not shared with other cognitive abilities.

Development of a practical guide for the early recognition for malignant melanoma of the foot and nail unit

Directory of Open Access Journals (Sweden)

de Berker David AR

2010-09-01

Full Text Available Abstract Background Malignant melanoma is a rare but potentially lethal form of cancer which may arise on the foot. Evidence suggests that due to misdiagnosis and later recognition, foot melanoma has a poorer prognosis than cutaneous melanoma elsewhere. Methods A panel of experts representing podiatry and dermatologists with a special interest in skin oncology was assembled to review the literature and clinical evidence to develop a clinical guide for the early recognition of plantar and nail unit melanoma. Results A systematic review of the literature revealed little high quality data to inform the guide. However a significant number of case reports and series were available for analysis. From these, the salient features were collated and summarised into the guide. Based on these features a new acronym "CUBED" for foot melanoma was drafted and incorporated in the guide. Conclusions The use of this guide may help clinicians in their assessment of suspicious lesions on the foot (including the nail unit. Earlier detection of suspicious pedal lesions may facilitate earlier referral for expert assessment and definitive diagnosis. The guide is currently being field tested amongst practitioners.

The interactional establishment of the membership category ‘nonnative speaker’ in gatekeeping encounters

DEFF Research Database (Denmark)

Tranekjær, Louise; Kappa, Katherine

2016-01-01

This paper examines how the membership category ‘nonnative speaker’ is interactionally established and initiated by the ‘native speaker’ interviewers during internship interviews between Danish employers and born abroad1 candidates. The analysis is based on 16 recorded internship interviews...... and related to studies that demonstrate how membership categories are fundamentally indexical of the context of interaction (Day, 2006; Drew & Heritage, 1992; Mondada, 2004). By taking on a membership categorization analysis (MCA) approach and utilizing conversation analytic (CA) tools, this paper shows three...

12 CFR 725.3 - Regular membership.

Science.gov (United States)

2010-01-01

... UNION ADMINISTRATION CENTRAL LIQUIDITY FACILITY § 725.3 Regular membership. (a) A natural person credit....5(b) of this part, and forwarding with its completed application funds equal to one-half of this... 1, 1979, is not required to forward these funds to the Facility until October 1, 1979. (3...

The impact of group membership on collaborative learning with wikis.

Science.gov (United States)

Matschke, Christina; Moskaliuk, Johannes; Kimmerle, Joachim

2013-02-01

The social web stimulates learning through collaboration. However, information in the social web is often associated with information about its author. Based on previous evidence that ingroup information is preferred to outgroup information, the current research investigates whether group memberships of wiki authors affect learning. In an experimental study, we manipulated the group memberships (ingroup vs. outgroup) of wiki authors by using nicknames. The designated group memberships (being fans of a soccer team or not) were completely irrelevant for the domain of the wiki (the medical disorder fibromyalgia). Nevertheless, wiki information from the ingroup led to more integration of information into prior knowledge as well as more increase of factual knowledge than information from the outgroup. The results demonstrate that individuals apply social selection strategies when considering information from wikis, which may foster, but also hinder, learning and collaboration. Practical implications for collaborative learning in the social web are discussed.

Women otolaryngologist representation in specialty society membership and leadership positions.

Science.gov (United States)

Choi, Sukgi S; Miller, Robert H

2012-11-01

To determine the proportion of female otolaryngologists in leadership positions relative to their number in the specialty, their membership in various otolaryngology organizations, and age. Cross-sectional analyses of otolaryngology organization membership with a subgroup analysis on female membership and leadership proportion comparing 5-year male/female cohort groups. Information on the number of members and leaders was obtained from various specialty societies by direct communication and from their Web sites between June and December 2010. The number of female and male otolaryngologists and their age distribution in 5-year age groups was obtained from the American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS). Statistical analyses were used to determine whether women had proportional membership and leadership representation in various specialty societies. Additionally, female representation in other leadership roles was analyzed using the male/female ratio within the 5-year cohort groups. Female otolaryngologists were found to constitute approximately 11% of practicing otolaryngologists. The American Society of Pediatric Otolaryngology had a higher proportion of female members (22%) compared to five other societies. When the gender composition within each organization was taken into account, female representation in specialty society leadership positions was proportionate to their membership across all societies. When gender and age were considered, women have achieved proportionate representation in each of the specialty societies' leadership positions. There was also proportionate representation of females as program directors, American Board of Otolaryngology directors, Residency Review Committee members, and journal editors/editorial board members. Finally, fewer female chairs or chiefs of departments/divisions were seen, but when age was taken into consideration, this difference was no longer significant. Women have achieved parity in

78 FR 70275 - United States Travel and Tourism Advisory Board

Science.gov (United States)

2013-11-25

... DEPARTMENT OF COMMERCE International Trade Administration United States Travel and Tourism... an opportunity to apply for membership on the United States Travel and Tourism Advisory Board... Travel and Tourism Advisory Board (Board). The purpose of the Board is to advise the Secretary of...

New automated procedure to assess context recognition memory in mice.

Science.gov (United States)

Reiss, David; Walter, Ondine; Bourgoin, Lucie; Kieffer, Brigitte L; Ouagazzal, Abdel-Mouttalib

2014-11-01

Recognition memory is an important aspect of human declarative memory and is one of the routine memory abilities altered in patients with amnestic syndrome and Alzheimer's disease. In rodents, recognition memory has been most widely assessed using the novel object preference paradigm, which exploits the spontaneous preference that animals display for novel objects. Here, we used nose-poke units instead of objects to design a simple automated method for assessing context recognition memory in mice. In the acquisition trial, mice are exposed for the first time to an operant chamber with one blinking nose-poke unit. In the choice session, a novel nonblinking nose-poke unit is inserted into an empty spatial location and the number of nose poking dedicated to each set of nose-poke unit is used as an index of recognition memory. We report that recognition performance varies as a function of the length of the acquisition period and the retention delay and is sensitive to conventional amnestic treatments. By manipulating the features of the operant chamber during a brief retrieval episode (3-min long), we further demonstrate that reconsolidation of the original contextual memory depends on the magnitude and the type of environmental changes introduced into the familiar spatial environment. These results show that the nose-poke recognition task provides a rapid and reliable way for assessing context recognition memory in mice and offers new possibilities for the deciphering of the brain mechanisms governing the reconsolidation process.

78 FR 40138 - Notification of Deletion of System of Records: Kid's Club Membership List (EPA-57)

Science.gov (United States)

2013-07-03

... children. Participants received certificates, membership cards and stickers for joining the club. Completed... System of Records: Kid's Club Membership List (EPA-57) AGENCY: Environmental Protection Agency (EPA... Kids Club Membership List (EPA-57) published in the Federal Register on March 2, 2006, from its...

Advantages and disadvantages of the Republic of Serbia's membership in NATO

Directory of Open Access Journals (Sweden)

Beriša Hatidža

2014-01-01

Full Text Available The subject of the work analyzes the advantages and disadvantages of possible membership of the Republic of Serbia in NATO as an opportunity to answer the question of whether a commitment to military neutrality of the Republic of Serbia in comparison to the region is the best choice? The fact is that almost no other topic in our public causes so much disagreement among citizens, non-governmental organizations and political elite as is the relationship Serbia to NATO and possible membership in the union. However, although the frequent occurrence experience any reason to discuss the (un desirability of joining the military alliance, NATO membership is not a question of 'to be or not to be' that is often asked, but of the actual budget, strategic and security assessments maximizing the consensus at the national political level, as well as some public support in the country. The opinions about Atlantic integration are therefore opposed. The fact that Serbia has declared its military neutrality, which was voted by the Assembly of the Republic of Serbia. But the fact that we have dissonant tones in public, which are in line with the declaration of neutrality, despite Serbia introduced in Atlantic integration, ie. NATO. The aim of this paper is to present the needs and commitment of Serbia's membership in NATO, but to present what is good, and what's membership in NATO would have negative connotations for the country. Based on this, the reader to conclude that solution is more correct and what should be done.

76 FR 65503 - Performance Review Board Membership

Science.gov (United States)

2011-10-21

... CONTACT: Andrea Burckman, Director, Executive Resources Division, Human Capital and Client Services... DEPARTMENT OF EDUCATION Performance Review Board Membership AGENCY: Office of Management... of Education is composed of career and non-career senior executives. The PRB reviews and evaluates...

Reducing Prejudice With Labels: Shared Group Memberships Attenuate Implicit Bias and Expand Implicit Group Boundaries.

Science.gov (United States)

Scroggins, W Anthony; Mackie, Diane M; Allen, Thomas J; Sherman, Jeffrey W

2016-02-01

In three experiments, we used a novel Implicit Association Test procedure to investigate the impact of group memberships on implicit bias and implicit group boundaries. Results from Experiment 1 indicated that categorizing targets using a shared category reduced implicit bias by increasing the extent to which positivity was associated with Blacks. Results from Experiment 2 revealed that shared group membership, but not mere positivity of a group membership, was necessary to reduce implicit bias. Quadruple process model analyses indicated that changes in implicit bias caused by shared group membership are due to changes in the way that targets are evaluated, not to changes in the regulation of evaluative bias. Results from Experiment 3 showed that categorizing Black targets into shared group memberships expanded implicit group boundaries. © 2015 by the Society for Personality and Social Psychology, Inc.

76 FR 57712 - Performance Review Board Membership

Science.gov (United States)

2011-09-16

... DEPARTMENT OF COMMERCE Performance Review Board Membership AGENCY: Economics and Statistics... the Performance Review Board (PRB) in accordance with the Economics and Statistics Administration's.... Bostic, Jr., Arnold A. Jackson, Theodore A. Johnson, Steven J. Jost, J. Steven Landefeld, Jennifer Madans...

75 FR 57440 - Performance Review Board Membership

Science.gov (United States)

2010-09-21

... DEPARTMENT OF COMMERCE Performance Review Board Membership AGENCY: Economics and Statistics... the Performance Review Board in accordance with the Economics and Statistics Administration's Senior... Callahan, Nancy M. Gordon, Howard R. Hogan, Arnold A. Jackson, Theodore A. Johnson, Steven J. Jost, J...

Membership in cooperative societies

Directory of Open Access Journals (Sweden)

Eba Gaminde Egia

2017-12-01

Full Text Available In this work we will analyze the practical application of one of the cooperative principles, «voluntary and free membership», referring to the entering of members in cooperative societies. We will first explain the meaning of this principle, and then bring up its normative regulation, with special emphasis on those aspects in which our autonomic laws differ, and ending with a brief reference to the economic aspect and the different ways to make contributions and their consequences.Received: 31 May 2017Accepted: 14 October 2017Published online: 22 December 2017

Measuring multi-membership in economic integration and its trade-impact. A comparative study of ECOWAS and SADC

DEFF Research Database (Denmark)

Afesorgbor, Sylvanus Kwaku; van Bergeijk, Peter A.G.

in two major African Regional blocs, ECOWAS and SADC. We find that the impact of multi-membership critically depends on the characteristics of the multi-membership of regional integration initiatives. We find a positive impact if an additional membership complements the integration process...... of the original regional integration initiative: overlapping memberships had a much stronger and significant positive effect on bilateral trade within ECOWAS compare to an insignificant impact within SADC....

Set-Membership Proportionate Affine Projection Algorithms

Directory of Open Access Journals (Sweden)

Stefan Werner

2007-01-01

Full Text Available Proportionate adaptive filters can improve the convergence speed for the identification of sparse systems as compared to their conventional counterparts. In this paper, the idea of proportionate adaptation is combined with the framework of set-membership filtering (SMF in an attempt to derive novel computationally efficient algorithms. The resulting algorithms attain an attractive faster converge for both situations of sparse and dispersive channels while decreasing the average computational complexity due to the data discerning feature of the SMF approach. In addition, we propose a rule that allows us to automatically adjust the number of past data pairs employed in the update. This leads to a set-membership proportionate affine projection algorithm (SM-PAPA having a variable data-reuse factor allowing a significant reduction in the overall complexity when compared with a fixed data-reuse factor. Reduced-complexity implementations of the proposed algorithms are also considered that reduce the dimensions of the matrix inversions involved in the update. Simulations show good results in terms of reduced number of updates, speed of convergence, and final mean-squared error.

Supervised Classification High-Resolution Remote-Sensing Image Based on Interval Type-2 Fuzzy Membership Function

Directory of Open Access Journals (Sweden)

Chunyan Wang

2018-05-01

Full Text Available Because of the degradation of classification accuracy that is caused by the uncertainty of pixel class and classification decisions of high-resolution remote-sensing images, we proposed a supervised classification method that is based on an interval type-2 fuzzy membership function for high-resolution remote-sensing images. We analyze the data features of a high-resolution remote-sensing image and construct a type-1 membership function model in a homogenous region by supervised sampling in order to characterize the uncertainty of the pixel class. On the basis of the fuzzy membership function model in the homogeneous region and in accordance with the 3σ criterion of normal distribution, we proposed a method for modeling three types of interval type-2 membership functions and analyze the different types of functions to improve the uncertainty of pixel class expressed by the type-1 fuzzy membership function and to enhance the accuracy of classification decision. According to the principle that importance will increase with a decrease in the distance between the original, upper, and lower fuzzy membership of the training data and the corresponding frequency value in the histogram, we use the weighted average sum of three types of fuzzy membership as the new fuzzy membership of the pixel to be classified and then integrated into the neighborhood pixel relations, constructing a classification decision model. We use the proposed method to classify real high-resolution remote-sensing images and synthetic images. Additionally, we qualitatively and quantitatively evaluate the test results. The results show that a higher classification accuracy can be achieved with the proposed algorithm.

MEMBERSHIP PROCESS OF ISTANBUL IN 2020 OLYMPIC GAMES AND ECONOMIC INVESTMENTS

OpenAIRE

MUSTAFA YILDIZ

2014-01-01

The Olympic Game is an expensive and costly sport organization with the participation of athletes, journalists, broadcasters and sportsmen and audiences. This cost can be born only by developed countries and this enables introduction of home countries, increase of tourism activities and acquisition of sports facilities. Membership of Istanbul for 2020 Olympic Games is the first sport organization membership officially announced by prime minister of Turkish government. Therefore the support wa...

7 CFR 929.20 - Establishment and membership.

Science.gov (United States)

2010-01-01

..., processor, handler, or have a financial interest in the production, sales, marketing or distribution of... Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (Marketing... Establishment and membership. (a) There is hereby established a Cranberry Marketing Committee consisting of 13...

ANALYSIS OF BUDGET DEFICIT IN THE CANDIDATE COUNTRIES FOR EU MEMBERSHIP

Directory of Open Access Journals (Sweden)

Danijela Despotović

2017-11-01

Full Text Available The problems of deficit and debt are the traditional drivers of the recession in the past. Due to the high impact of the budget deficit to increase in indebtedness and deterioration of a macroeconomic performance, the European Union in Maastricht Treaty and later in the Pact of Stability and Growth strictly defined fiscal criteria which the member states should adhere to. Fiscal criteria are particularly important when it comes to candidate countries for EU membership. The aim of this paper is that, through theoretical and empirical basis perform a comparative analysis of the budget deficit in EU countries and candidates for membership in the EU, to rank the 34 countries according to the criteria of public finances and to show the causality between the candidate countries for membership of the EU and EU member states.

77 FR 61379 - Performance Review Board Membership

Science.gov (United States)

2012-10-09

... DEPARTMENT OF COMMERCE Performance Review Board Membership AGENCY: Economics and Statistics... eligible to serve on the Performance Review Board (PRB) in accordance with the Economics and Statistics.... Arnold William G. Bostic, Jr. Joanne Buenzli Crane Justin R. Ehrenwerth Ron S. Jarmin Theodore A. Johnson...

78 FR 67333 - Performance Review Board Membership

Science.gov (United States)

2013-11-12

... DEPARTMENT OF COMMERCE Performance Review Board Membership AGENCY: Economics and Statistics... eligible to serve on the Performance Review Board (PRB) in accordance with the Economics and Statistics.... Arnold William G. Bostic, Jr. Stephen B. Burke Joanne Buenzli Crane Susan R. Helper Ron S. Jarmin Enrique...

11 CFR 100.134 - Internal communications by corporations, labor organizations, and membership organizations.

Science.gov (United States)

2010-01-01

... shall be voted, if it is voting stock, and has the right to receive dividends. (d) Definition of...: affirmation of membership on at least an annual basis and direct participatory rights in the governance of the... aspects of the organization's governance. (g) Additional considerations in determining membership...

Impacts of extension access and cooperative membership on technology adoption and household welfare.

Science.gov (United States)

Wossen, Tesfamicheal; Abdoulaye, Tahirou; Alene, Arega; Haile, Mekbib G; Feleke, Shiferaw; Olanrewaju, Adetunji; Manyong, Victor

2017-08-01

This paper examines the impacts of access to extension services and cooperative membership on technology adoption, asset ownership and poverty using household-level data from rural Nigeria. Using different matching techniques and endogenous switching regression approach, we find that both extension access and cooperative membership have a positive and statistically significant effect on technology adoption and household welfare. Moreover, we find that both extension access and cooperative membership have heterogeneous impacts. In particular, we find evidence of a positive selection as the average treatment effects of extension access and cooperative membership are higher for farmers with the highest propensity to access extension and cooperative services. The impact of extension services on poverty reduction and of cooperatives on technology adoption is significantly stronger for smallholders with access to formal credit than for those without access. This implies that expanding rural financial markets can maximize the potential positive impacts of extension and cooperative services on farmers' productivity and welfare.

Identifying groups at risk for 1-year membership termination from a fitness center at enrollment

Directory of Open Access Journals (Sweden)

Stephanie A. Hooker

2016-12-01

Full Text Available The vast majority of Americans do not engage in adequate regular physical activity despite its well-known health benefits. Even when individuals attempt to become more active by joining a fitness center, estimates suggest that nearly half terminate their membership within the first 6 months. A better understanding of who is at risk for early membership termination upon joining may help researchers develop targeted interventions to improve the likelihood that individuals will successfully maintain memberships and physical activity. This study's purpose was to identify, based on a wellness assessment (WA used in fitness centers, individuals at risk for fitness membership termination prior to 1-year. Center members (N = 441; Mage = 41.9, SD = 13.1; 74.4% female completed a comprehensive WA of stress, life satisfaction, physical fitness, metabolic health, and sleep quality at the beginning of their memberships and were followed for one year. Latent class analyses utilized the WA to identify four groups: (a healthy, (b unhealthy, (c poor psychological wellness, and (d poor physical wellness. Participants in the poor psychological wellness group (OR = 2.24, p = 0.007 and the unhealthy group (OR = 2.40, p = 0.037 were significantly more likely to terminate their memberships at 1-year as compared to the healthy group. Participants with poor physical wellness visited the fitness center less frequently than healthy participants (p < 0.01. Results suggest that poor psychological wellness is a risk factor for terminating memberships, whereas poor physical wellness is not. Future studies should replicate these latent classes and develop targeted interventions to address psychological wellness as a method to improve fitness membership retention.

Does aging impair first impression accuracy? Differentiating emotion recognition from complex social inferences.

Science.gov (United States)

Krendl, Anne C; Rule, Nicholas O; Ambady, Nalini

2014-09-01

Young adults can be surprisingly accurate at making inferences about people from their faces. Although these first impressions have important consequences for both the perceiver and the target, it remains an open question whether first impression accuracy is preserved with age. Specifically, could age differences in impressions toward others stem from age-related deficits in accurately detecting complex social cues? Research on aging and impression formation suggests that young and older adults show relative consensus in their first impressions, but it is unknown whether they differ in accuracy. It has been widely shown that aging disrupts emotion recognition accuracy, and that these impairments may predict deficits in other social judgments, such as detecting deceit. However, it is unclear whether general impression formation accuracy (e.g., emotion recognition accuracy, detecting complex social cues) relies on similar or distinct mechanisms. It is important to examine this question to evaluate how, if at all, aging might affect overall accuracy. Here, we examined whether aging impaired first impression accuracy in predicting real-world outcomes and categorizing social group membership. Specifically, we studied whether emotion recognition accuracy and age-related cognitive decline (which has been implicated in exacerbating deficits in emotion recognition) predict first impression accuracy. Our results revealed that emotion recognition accuracy did not predict first impression accuracy, nor did age-related cognitive decline impair it. These findings suggest that domains of social perception outside of emotion recognition may rely on mechanisms that are relatively unimpaired by aging. PsycINFO Database Record (c) 2014 APA, all rights reserved.

Staff Association membership is free of charge for the rest of 2017

CERN Multimedia

Staff Association

2017-01-01

Staff Association membership is free of charge for the rest of 2017 Starting from September 1st, membership of the Staff Association is free for all new members for the period up to the end of 2017. This is to allow you to participate in the Staff Council elections, by voting and electing your representatives. Do not hesitate any longer; join now!

7 CFR 1206.30 - Establishment and membership.

Science.gov (United States)

2010-01-01

... 7 Agriculture 10 2010-01-01 2010-01-01 false Establishment and membership. 1206.30 Section 1206.30 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (MARKETING...) and Washington, DC (54). (2) District II includes the Customs Districts of Mobile, AL (19), New...

7 CFR 946.22 - Establishment and membership.

Science.gov (United States)

2010-01-01

... 7 Agriculture 8 2010-01-01 2010-01-01 false Establishment and membership. 946.22 Section 946.22 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (Marketing... in acreage within districts and within the production area during recent years; (2) The importance of...

7 CFR 927.20 - Establishment and membership.

Science.gov (United States)

2010-01-01

... 7 Agriculture 8 2010-01-01 2010-01-01 false Establishment and membership. 927.20 Section 927.20 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (Marketing... within districts and within the production area during recent years; (2) The importance of new pear...

Firm productivity in the western Balkans: The impact of European Union membership and access to finance

Directory of Open Access Journals (Sweden)

Howard-Jones P.

2017-01-01

Full Text Available This study examines the productivity performance of Balkan firms within and outside the European Union (EU, including the influence of loans. A multiple treatment model is used to compare the effects on productivity of membership and loans both separately and collectively, which in the case of loans allows a separate analysis of their influence on firms in non-member states. The use of conditional quantile regressions measures the effect on productivity of membership and loans separately as treatment variables. This provides an analysis of where the treatment influence is greatest across the distribution curve and identifies the significance of selected control variables on the outcome. In the full sample, the findings indicate that EU membership and loans have a positive effect on productivity, with membership being more important than loans. Outside the EU, firms in receipt of loans are more productive than those without. However, the significance of both membership and loans is restricted to the lower end of the productivity distribution curve. The manufacturing sample shows that EU membership has a significant positive effect across 70% of the deciles measured, whilst the influence of loans is restricted to the lower deciles, with rental capital (leasing also positively significant in the lower four deciles. In the services sector, however, membership is significant up to 90% of the distribution, with loans at 60%.

I want to join the zoo! A conjoint study of membership program preferences

Science.gov (United States)

David B. Klenosky; Chi-Ok Oh; Christopher C. Panek; Jerry F. Luebke

2009-01-01

Membership programs are an important and often vital element for the success and economic sustainability of leisure and tourism visitor attractions. Unfortunately, very little research is available to guide membership program development and promotion efforts. To address this gap in the research literature, a research project assessed member and nonmember preferences...

Bayesian assessment of moving group membership: importance of models and prior knowledge

Science.gov (United States)

Lee, Jinhee; Song, Inseok

2018-04-01

Young nearby moving groups are important and useful in many fields of astronomy such as studying exoplanets, low-mass stars, and the stellar evolution of the early planetary systems over tens of millions of years, which has led to intensive searches for their members. Identification of members depends on the used models sensitively; therefore, careful examination of the models is required. In this study, we investigate the effects of the models used in moving group membership calculations based on a Bayesian framework (e.g. BANYAN II) focusing on the beta-Pictoris moving group (BPMG). Three improvements for building models are suggested: (1) updating a list of accepted members by re-assessing memberships in terms of position, motion, and age, (2) investigating member distribution functions in XYZ, and (3) exploring field star distribution functions in XYZ and UVW. The effect of each change is investigated, and we suggest using all of these improvements simultaneously in future membership probability calculations. Using this improved MG membership calculation and the careful examination of the age, 57 bona fide members of BPMG are confirmed including 12 new members. We additionally suggest 17 highly probable members.

On the perception of religious group membership from faces.

Science.gov (United States)

Rule, Nicholas O; Garrett, James V; Ambady, Nalini

2010-12-07

The study of social categorization has largely been confined to examining groups distinguished by perceptually obvious cues. Yet many ecologically important group distinctions are less clear, permitting insights into the general processes involved in person perception. Although religious group membership is thought to be perceptually ambiguous, folk beliefs suggest that Mormons and non-Mormons can be categorized from their appearance. We tested whether Mormons could be distinguished from non-Mormons and investigated the basis for this effect to gain insight to how subtle perceptual cues can support complex social categorizations. Participants categorized Mormons' and non-Mormons' faces or facial features according to their group membership. Individuals could distinguish between the two groups significantly better than chance guessing from their full faces and faces without hair, with eyes and mouth covered, without outer face shape, and inverted 180°; but not from isolated features (i.e., eyes, nose, or mouth). Perceivers' estimations of their accuracy did not match their actual accuracy. Exploration of the remaining features showed that Mormons and non-Mormons significantly differed in perceived health and that these perceptions were related to perceptions of skin quality, as demonstrated in a structural equation model representing the contributions of skin color and skin texture. Other judgments related to health (facial attractiveness, facial symmetry, and structural aspects related to body weight) did not differ between the two groups. Perceptions of health were also responsible for differences in perceived spirituality, explaining folk hypotheses that Mormons are distinct because they appear more spiritual than non-Mormons. Subtle markers of group membership can influence how others are perceived and categorized. Perceptions of health from non-obvious and minimal cues distinguished individuals according to their religious group membership. These data

Gang membership and substance use: guilt as a gendered causal pathway.

Science.gov (United States)

Coffman, Donna L; Melde, Chris; Esbensen, Finn-Aage

2015-03-01

We examine whether anticipated guilt for substance use is a gendered mechanism underlying the noted enhancement effect of gang membership on illegal drug use. We also demonstrate a method for making stronger causal inferences when assessing mediation in the presence of moderation and time-varying confounding. We estimate a series of inverse propensity weighted models to obtain unbiased estimates of mediation in the presence of confounding of the exposure (i.e., gang membership) and mediator (i.e., anticipated guilt) using three waves of data from a multi-site panel study of a law-related education program for youth ( N =1,113). The onset of gang membership significantly decreased anticipated substance use guilt among both male and female respondents. This reduction was significantly associated with increased frequency of substance use only for female respondents, however, suggesting that gender moderates the mechanism through which gang membership influences substance use. Criminologists are often concerned with identifying causal pathways for antisocial and/or delinquent behavior, but confounders of the exposure, mediator, and outcome often interfere with efforts to assess mediation. Many new approaches have been proposed for strengthening causal inference for mediation effects. After controlling for confounding using inverse propensity weighting, our results suggest that interventions aimed at reducing substance use by current and former female gang members should focus on the normative aspects of these behaviors.

75 FR 15704 - Old Dominion Electric Cooperative; North Carolina Electric Membership Corporation, Complainants v...

Science.gov (United States)

2010-03-30

... Electric Cooperative; North Carolina Electric Membership Corporation, Complainants v. Virginia Electric and... the Federal Power Act, 16 U.S.C. 824(e) and 825(e), Old Dominion Electric Cooperative and North Carolina Electric Membership Corporation (Complainants) filed a formal complaint against Virginia Electric...

Stochastic Local Search for Core Membership Checking in Hedonic Games

Science.gov (United States)

Keinänen, Helena

Hedonic games have emerged as an important tool in economics and show promise as a useful formalism to model multi-agent coalition formation in AI as well as group formation in social networks. We consider a coNP-complete problem of core membership checking in hedonic coalition formation games. No previous algorithms to tackle the problem have been presented. In this work, we overcome this by developing two stochastic local search algorithms for core membership checking in hedonic games. We demonstrate the usefulness of the algorithms by showing experimentally that they find solutions efficiently, particularly for large agent societies.

Emotions facilitate the communication of ambiguous group memberships.

Science.gov (United States)

Tskhay, Konstantin O; Rule, Nicholas O

2015-12-01

It is well known that emotions intersect with obvious social categories (e.g., race), influencing both how targets are categorized and the emotions that are read from their faces. Here, we examined the influence of emotional expression on the perception of less obvious group memberships for which, in the absence of obvious and stable physical markers, emotion may serve as a major avenue for group categorization and identification. Specifically, we examined whether emotions are embedded in the mental representations of sexual orientation and political affiliation, and whether people may use emotional expressions to communicate these group memberships to others. Using reverse correlation methods, we found that mental representations of gay and liberal faces were characterized by more positive facial expressions than mental representations of straight and conservative faces (Study 1). Furthermore, participants were evaluated as expressing more positive emotions when enacting self-defined "gay" and "liberal" versus "straight" and "conservative" facial expressions in the lab (Study 2). In addition, neutral faces morphed with happiness were perceived as more gay than when morphed with anger, and when compared to unmorphed controls (Study 3). Finally, we found that affect facilitated perceptions of sexual orientation and political affiliation in naturalistic settings (Study 4). Together, these studies suggest that emotion is a defining characteristic of person construal that people tend to use both when signaling their group memberships and when receiving those signals to categorize others. (c) 2015 APA, all rights reserved).

7 CFR 1c.107 - IRB membership.

Science.gov (United States)

2010-01-01

... Office of the Secretary of Agriculture PROTECTION OF HUMAN SUBJECTS § 1c.107 IRB membership. (a) Each IRB... promote respect for its advice and counsel in safeguarding the rights and welfare of human subjects. In... knowledgeable about and experienced in working with these subjects. (b) Every nondiscriminatory effort will be...

The role of delinquency, proactive aggression, psychopathy and behavioral school engagement in reported youth gang membership.

Science.gov (United States)

Ang, Rebecca P; Huan, Vivien S; Chan, Wei Teng; Cheong, Siew Ann; Leaw, Jia Ning

2015-06-01

Given the robust positive association between gangs and crime, a better understanding of factors related to reported youth gang membership is critical and especially since youth in gangs are a universal concern. The present study investigated the role of delinquency, proactive aggression, psychopathy and behavioral school engagement in reported youth gang membership using a large sample of 1027 Singapore adolescents. Results from logistic regression showed that delinquency, proactive aggression, and behavioral school engagement were statistically significant risk factors for reported youth gang membership, and that psychopathy was not related to reported gang membership. Implications for prevention and intervention work with respect to youth gang membership were discussed. In particular, strengthening students' engagement with school and meaningful school-related activities and developing supportive teacher-student relationships are particularly important in working with young people with respect to prevention work. Additionally, the present study's theoretical and empirical contributions were also discussed. Copyright © 2015 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

Pediatric radiologists: who we are and what we do. Results of a membership survey of the Society for Pediatric Radiology - 1999

International Nuclear Information System (INIS)

Goske, M.J.; Lieber, M.; Lebowitz, R.L.; Ablin, D.; Royal, S.

2000-01-01

Background. There is a need for reliable monitoring of workforce trends in the field of pediatric radiology by the Society for Pediatric Radiology. In addition, the Society should periodically assess itself as to its mission and relevance to its members via membership surveys. Objective. The Membership Committee of the Society for Pediatric Radiology, 1999, conducted a 54-question survey to determine the makeup of its members, job profiles, satisfaction with services of the Society for Pediatric Radiology, and its official journal, Pediatric Radiology. Materials and methods. Seven hundred fifty surveys were given to active members of the Society for Pediatric Radiology in the United States and Canada. There were 275 surveys returned for an overall response of 37%. Results. Mean age of members is 48 years with 99 % of respondents working. Membership is 34 % female and 66 % male. Women members of the Society are younger (45 vs 49 years, P = 0.0012) and work less hours (47.8 vs 51.0, P = 0.0135) than men. Fifty-seven percent of respondents practice in a freestanding children's hospital, 29 % in a ''children's hospital within a hospital,'' and 14 % are in community hospitals or an office-based practice. Eighty-two percent of the responding pediatric radiologist's time is spent in performing examination on children, with only 18 % spent on adult work or administration. Forty-eight percent work at more than one office. Sixty-one percent worked evenings or weekends, excluding night call. Two hundred twenty-two of 275 respondents had received a Certificate of Added Qualification. The meeting ''for CME credit'' was considered the most important benefit of Society membership. Most respondents read select articles in Pediatric Radiology. There was sentiment to decrease esoteric case reports in favor of review articles. Only 19 % of respondents submitted their articles to Pediatric Radiology initially. Conclusion. Pediatric radiologists are a diverse membership with the common

12 CFR 925.32 - Official membership insignia.

Science.gov (United States)

2010-01-01

... the words “Member Federal Home Loan Bank System.” [58 FR 43542, Aug. 17, 1993. Redesignated at 61 FR... 12 Banks and Banking 7 2010-01-01 2010-01-01 false Official membership insignia. 925.32 Section 925.32 Banks and Banking FEDERAL HOUSING FINANCE BOARD FEDERAL HOME LOAN BANK MEMBERS AND HOUSING...

Membership Contests: Encountering Immigrant Youth in Finland

Science.gov (United States)

Harinen, Paivi; Suurpaa, Leena; Hoikkala, Tommi; Hautaniemi, Petri; Perho, Sini; Keskisalo, Anne-Mari; Kuure, Tapio; Kunnapuu, Krista

2005-01-01

This article discusses different aspects of social and societal membership, when minority groups of young immigrants living in Finland are under consideration. During its history, Finland has mainly been a country of emigration. In the 1990s the direction of moving turned to the contrary and the amount of immigrants in Finland increased relatively…

Identifying desertification risk areas using fuzzy membership and ...

Indian Academy of Sciences (India)

An integrated model with fuzzy membership analysis, fuzzy rule- ... major sources of desertification in Kota are, namely Gully and Ravine erosion, inappropriate ... plant production, soil health and water quantity ..... fied for implementing preventive methods to check ...... Determination and management in soil physical proper-.

12 CFR 614.4267 - Professional association membership; competency.

Science.gov (United States)

2010-01-01

.... 614.4267 Section 614.4267 Banks and Banking FARM CREDIT ADMINISTRATION FARM CREDIT SYSTEM LOAN POLICIES AND OPERATIONS Collateral Evaluation Requirements § 614.4267 Professional association membership... real, personal, or intangible property taken as collateral in connection with extensions of credit must...

Speech recognition using articulatory and excitation source features

CERN Document Server

Rao, K Sreenivasa

2017-01-01

This book discusses the contribution of articulatory and excitation source information in discriminating sound units. The authors focus on excitation source component of speech -- and the dynamics of various articulators during speech production -- for enhancement of speech recognition (SR) performance. Speech recognition is analyzed for read, extempore, and conversation modes of speech. Five groups of articulatory features (AFs) are explored for speech recognition, in addition to conventional spectral features. Each chapter provides the motivation for exploring the specific feature for SR task, discusses the methods to extract those features, and finally suggests appropriate models to capture the sound unit specific knowledge from the proposed features. The authors close by discussing various combinations of spectral, articulatory and source features, and the desired models to enhance the performance of SR systems.

77 FR 42257 - General Conference Committee of the National Poultry Improvement Plan; Solicitation for Membership

Science.gov (United States)

2012-07-18

...] General Conference Committee of the National Poultry Improvement Plan; Solicitation for Membership AGENCY... regional membership for the General Conference Committee of the National Poultry Improvement Plan. DATES... INFORMATION CONTACT: Dr. C. Stephen Roney, Senior Coordinator, National Poultry Improvement Plan, VS, APHIS...

On the perception of religious group membership from faces.

Directory of Open Access Journals (Sweden)

Nicholas O Rule

Full Text Available BACKGROUND: The study of social categorization has largely been confined to examining groups distinguished by perceptually obvious cues. Yet many ecologically important group distinctions are less clear, permitting insights into the general processes involved in person perception. Although religious group membership is thought to be perceptually ambiguous, folk beliefs suggest that Mormons and non-Mormons can be categorized from their appearance. We tested whether Mormons could be distinguished from non-Mormons and investigated the basis for this effect to gain insight to how subtle perceptual cues can support complex social categorizations. METHODOLOGY/PRINCIPAL FINDINGS: Participants categorized Mormons' and non-Mormons' faces or facial features according to their group membership. Individuals could distinguish between the two groups significantly better than chance guessing from their full faces and faces without hair, with eyes and mouth covered, without outer face shape, and inverted 180°; but not from isolated features (i.e., eyes, nose, or mouth. Perceivers' estimations of their accuracy did not match their actual accuracy. Exploration of the remaining features showed that Mormons and non-Mormons significantly differed in perceived health and that these perceptions were related to perceptions of skin quality, as demonstrated in a structural equation model representing the contributions of skin color and skin texture. Other judgments related to health (facial attractiveness, facial symmetry, and structural aspects related to body weight did not differ between the two groups. Perceptions of health were also responsible for differences in perceived spirituality, explaining folk hypotheses that Mormons are distinct because they appear more spiritual than non-Mormons. CONCLUSIONS/SIGNIFICANCE: Subtle markers of group membership can influence how others are perceived and categorized. Perceptions of health from non-obvious and minimal cues

Delineating demographic units of woodland caribou (Rangifer tarandus caribou in Ontario: cautions and insights

Directory of Open Access Journals (Sweden)

Jennifer L. Shuter

2012-03-01

Full Text Available Delineating demographic structure across an organism’s range can reveal the extent to which population dynamics in different geographic areas are driven by local or external factors and can be crucial for effective conservation and management. Obtaining optimal data for such analyses can be time and resource-intensive and impending development and resource extraction pressures may necessitate the examination of existing data, even when they are less than ideal. We analyzed a historic telemetry dataset containing satellite radio-collar locations of 73 forest-dwelling woodland caribou in northern Ontario to determine demographic structure. We applied several clustering methods (i.e., agglomerative, divisive and fuzzy k-means to median seasonal locations. Results were used to distinguish demographic units and minimum convex polygons and fixed-kernel density estimates were used to delineate unit boundaries and core areas. For areas where sampling was considered representative of the distribution of caribou on the landscape, we assessed demographic distinctness by evaluating intra-individual variation in cluster membership, membership strength and distance between boundaries and core areas of adjacent units. The number and composition of clusters identified was similar among methods and caribou were grouped into 6 general clusters. The distinctions between the three clusters identified in the central portion of the province (i.e., Lac Seul, Wabakimi, Geraldton and the two clusters identified in the eastern portion of the province (i.e., Cochrane and Cochrane-Quebec were determined to represent demographic structuring. Additional distinctions in other areas (i.e., between The Red Lake and Lac Seul clusters in the west and between the central and eastern clusters may just be artifacts of the original sampling effort. Amongst demographic units, there was no evidence of individual flexibility in cluster membership and average membership strength was

Compensation to the pension fund for the reduction of the active membership

CERN Document Server

2002-01-01

Following the Council's approval of compensation to the Pension Fund for the reduction of the active membership between 1995 and 1997 at its meeting of 18 June 1998 (CERN/FC/4074-CERN/2241), the Governing Board proposes that the Finance Committee should recommend the Council to approve compensation of 16.1 MCHF for the reduction of the active membership between 1998 and 2000, which should be added to the amount owing to the Pension Fund at the end of 2001.

Recognition of facial expressions is moderated by Islamic cues.

Science.gov (United States)

Kret, Mariska E; Fischer, Agneta H

2018-05-01

Recognising emotions from faces that are partly covered is more difficult than from fully visible faces. The focus of the present study is on the role of an Islamic versus non-Islamic context, i.e. Islamic versus non-Islamic headdress in perceiving emotions. We report an experiment that investigates whether briefly presented (40 ms) facial expressions of anger, fear, happiness and sadness are perceived differently when covered by a niqāb or turban, compared to a cap and shawl. In addition, we examined whether oxytocin, a neuropeptide regulating affection, bonding and cooperation between ingroup members and fostering outgroup vigilance and derogation, would differentially impact on emotion recognition from wearers of Islamic versus non-Islamic headdresses. The results first of all show that the recognition of happiness was more accurate when the face was covered by a Western compared to Islamic headdress. Second, participants more often incorrectly assigned sadness to a face covered by an Islamic headdress compared to a cap and shawl. Third, when correctly recognising sadness, they did so faster when the face was covered by an Islamic compared to Western headdress. Fourth, oxytocin did not modulate any of these effects. Implications for theorising about the role of group membership on emotion perception are discussed.

An ERP analysis of recognition and categorization decisions in a prototype-distortion task.

Science.gov (United States)

Tunney, Richard J; Fernie, Gordon; Astle, Duncan E

2010-04-12

Theories of categorization make different predictions about the underlying processes used to represent categories. Episodic theories suggest that categories are represented in memory by storing previously encountered exemplars in memory. Prototype theories suggest that categories are represented in the form of a prototype independently of memory. A number of studies that show dissociations between categorization and recognition are often cited as evidence for the prototype account. These dissociations have compared recognition judgements made to one set of items to categorization judgements to a different set of items making a clear interpretation difficult. Instead of using different stimuli for different tests this experiment compares the processes by which participants make decisions about category membership in a prototype-distortion task and with recognition decisions about the same set of stimuli by examining the Event Related Potentials (ERPs) associated with them. Sixty-three participants were asked to make categorization or recognition decisions about stimuli that either formed an artificial category or that were category non-members. We examined the ERP components associated with both kinds of decision for pre-exposed and control participants. In contrast to studies using different items we observed no behavioural differences between the two kinds of decision; participants were equally able to distinguish category members from non-members, regardless of whether they were performing a recognition or categorisation judgement. Interestingly, this did not interact with prior-exposure. However, the ERP data demonstrated that the early visual evoked response that discriminated category members from non-members was modulated by which judgement participants performed and whether they had been pre-exposed to category members. We conclude from this that any differences between categorization and recognition reflect differences in the information that participants

Membership to innovation platforms and gender in ownership of ...

African Journals Online (AJOL)

Membership to innovation platforms and gender in ownership of productive assets in the savannas of west Africa. ... African Crop Science Journal ... inception of the project improved with participation in the innovations of the project, in terms of ...

78 FR 9629 - Irish Potatoes Grown in Colorado; Reestablishment of Membership on the Colorado Potato...

Science.gov (United States)

2013-02-11

... Service 7 CFR Part 948 [Doc. No. AMS-FV-12-0044; FV12-948-2 PR] Irish Potatoes Grown in Colorado; Reestablishment of Membership on the Colorado Potato Administrative Committee, Area No. 2 AGENCY: Agricultural... membership on the Colorado Potato Administrative Committee, Area No. 2 (Committee). The Committee locally...

10 YEARS AFTER NATO MEMBERSHIP

DEFF Research Database (Denmark)

”10 years after NATO Membership. An Anniversary in the Shadow of a Crisis”, indeholder artikler fra politiske aktører, diplomater og forskere, der alle bidrog til til konferencen af samme navn, hvor den 10-året for baltisk medlemskab af NATO var omdrejningspunktet. Udover den danske...... forsvarsminister, er den estiske og litauiske forsvarsminister og NATO’s vicegeneralsekretær blandt bidragyderne. Konferencens formål var at fejre, inddrage og diskutere 10 års forsvarspolitisk NATO-samarbejde i Østersøområdet. Den internationale udvikling i Europa betød at konferencens dagsorden i stedet for kom...

Place-based attributes predict community membership in a mobile phone communication network.

Directory of Open Access Journals (Sweden)

T Trevor Caughlin

Full Text Available Social networks can be organized into communities of closely connected nodes, a property known as modularity. Because diseases, information, and behaviors spread faster within communities than between communities, understanding modularity has broad implications for public policy, epidemiology and the social sciences. Explanations for community formation in social networks often incorporate the attributes of individual people, such as gender, ethnicity or shared activities. High modularity is also a property of large-scale social networks, where each node represents a population of individuals at a location, such as call flow between mobile phone towers. However, whether or not place-based attributes, including land cover and economic activity, can predict community membership for network nodes in large-scale networks remains unknown. We describe the pattern of modularity in a mobile phone communication network in the Dominican Republic, and use a linear discriminant analysis (LDA to determine whether geographic context can explain community membership. Our results demonstrate that place-based attributes, including sugar cane production, urbanization, distance to the nearest airport, and wealth, correctly predicted community membership for over 70% of mobile phone towers. We observed a strongly positive correlation (r = 0.97 between the modularity score and the predictive ability of the LDA, suggesting that place-based attributes can accurately represent the processes driving modularity. In the absence of social network data, the methods we present can be used to predict community membership over large scales using solely place-based attributes.

Place-based attributes predict community membership in a mobile phone communication network.

Science.gov (United States)

Caughlin, T Trevor; Ruktanonchai, Nick; Acevedo, Miguel A; Lopiano, Kenneth K; Prosper, Olivia; Eagle, Nathan; Tatem, Andrew J

2013-01-01

Social networks can be organized into communities of closely connected nodes, a property known as modularity. Because diseases, information, and behaviors spread faster within communities than between communities, understanding modularity has broad implications for public policy, epidemiology and the social sciences. Explanations for community formation in social networks often incorporate the attributes of individual people, such as gender, ethnicity or shared activities. High modularity is also a property of large-scale social networks, where each node represents a population of individuals at a location, such as call flow between mobile phone towers. However, whether or not place-based attributes, including land cover and economic activity, can predict community membership for network nodes in large-scale networks remains unknown. We describe the pattern of modularity in a mobile phone communication network in the Dominican Republic, and use a linear discriminant analysis (LDA) to determine whether geographic context can explain community membership. Our results demonstrate that place-based attributes, including sugar cane production, urbanization, distance to the nearest airport, and wealth, correctly predicted community membership for over 70% of mobile phone towers. We observed a strongly positive correlation (r = 0.97) between the modularity score and the predictive ability of the LDA, suggesting that place-based attributes can accurately represent the processes driving modularity. In the absence of social network data, the methods we present can be used to predict community membership over large scales using solely place-based attributes.

Associations of Health Club Membership with Physical Activity and Cardiovascular Health.

Directory of Open Access Journals (Sweden)

Elizabeth C Schroeder

Full Text Available This study evaluates whether a health club membership is associated with meeting the US physical activity (PA guidelines and/or favorable cardiovascular health.Using cross-sectional data of health club members (n = 204 and non-members (n = 201 from April to August 2013, this is the first study to our knowledge to examine a health club membership in relation to objectively measured cardiovascular health indicators including resting blood pressure, resting heart rate, body mass index, waist circumference, and cardiorespiratory fitness based on a non-exercise test algorithm. To determine the total PA and sedentary time, this study used a comprehensive PA questionnaire about both aerobic and resistance activities at the health club, as well as lifestyle activities in other settings, which was developed based on the International Physical Activity Questionnaire (IPAQ.The odds ratios (95% confidence interval of meeting either the aerobic, resistance, or both aerobic and resistance PA guidelines for members compared to non-members were 16.5 (9.8-27.6, 10.1 (6.2-16.3, and 13.8 (8.5-22.4, respectively. Significant associations of health club membership with more favorable cardiovascular health outcomes and sedentary behavior were observed for resting heart rate (B: -4.8 b/min, p1 year had more favorable health outcomes, with a smaller waist circumference (men, B: -4.0 cm, p = 0.04; women, B: -3.4 cm, p = 0.06, compared to non-members.Health club membership is associated with significantly increased aerobic and resistance physical activity levels and more favorable cardiovascular health outcomes compared to non-members. However, longitudinal, randomized controlled trials would be clearly warranted as cross-sectional data prohibits causal inferences.

Spoken word recognition without a TRACE

Science.gov (United States)

Hannagan, Thomas; Magnuson, James S.; Grainger, Jonathan

2013-01-01

How do we map the rapid input of spoken language onto phonological and lexical representations over time? Attempts at psychologically-tractable computational models of spoken word recognition tend either to ignore time or to transform the temporal input into a spatial representation. TRACE, a connectionist model with broad and deep coverage of speech perception and spoken word recognition phenomena, takes the latter approach, using exclusively time-specific units at every level of representation. TRACE reduplicates featural, phonemic, and lexical inputs at every time step in a large memory trace, with rich interconnections (excitatory forward and backward connections between levels and inhibitory links within levels). As the length of the memory trace is increased, or as the phoneme and lexical inventory of the model is increased to a realistic size, this reduplication of time- (temporal position) specific units leads to a dramatic proliferation of units and connections, begging the question of whether a more efficient approach is possible. Our starting point is the observation that models of visual object recognition—including visual word recognition—have grappled with the problem of spatial invariance, and arrived at solutions other than a fully-reduplicative strategy like that of TRACE. This inspires a new model of spoken word recognition that combines time-specific phoneme representations similar to those in TRACE with higher-level representations based on string kernels: temporally independent (time invariant) diphone and lexical units. This reduces the number of necessary units and connections by several orders of magnitude relative to TRACE. Critically, we compare the new model to TRACE on a set of key phenomena, demonstrating that the new model inherits much of the behavior of TRACE and that the drastic computational savings do not come at the cost of explanatory power. PMID:24058349

Face recognition in securing optical telecom network equipment

International Nuclear Information System (INIS)

Ali, N.M.

2015-01-01

In this paper, face recognition is used with a microcontroller based hardware module to secure the telecommunication equipments like ONU (optical network units) or any other telecommunication equipment. The face recognition classifier value optimization adaption is deployed and in this scheme by increasing or decreasing the number of images in the database will automatically generate and adopt the classifier value for recognition of known and unknown persons. On recognizing and unknown persons. On recognizing an unknown person, the hardware module will send an SMS to the concerned security personnel for security preventive measures. (author)

76 FR 14375 - United States Integrated Ocean Observing System Advisory Committee

Science.gov (United States)

2011-03-16

... DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration United States Integrated... Atmospheric Administration (NOAA), Department of Commerce. ACTION: Notice of Establishment of and Membership... support a variety of societal benefits. These benefits include supporting national defense; marine...

Party Members in Context. Social networks and local branches as context for party membership

OpenAIRE

Paulis, Emilien

2018-01-01

In this doctoral dissertation, I put party members and activists back in context. I stress theimportance of two contextual dimensions, often overlooked in the scientific literature. On theone hand, I put forward social network explanations of party membership and activism,emphasizing the importance of social interactions, relations and structures, which were scarcelyexplored as potential triggers. Like other forms of participation, party membership haspredominantly been portrayed through indi...

A study on effect of world trade organization on Iran's membership on export of Iranian handmade carpet

Directory of Open Access Journals (Sweden)

Mansoureh Golmeymi

2013-10-01

Full Text Available World Trade Organization (WTO has been established to facilitate fringe trade in the world and there are many studies associated with the effect of WTO membership on export of various countries. This paper presents an empirical investigation to find the effect of WTO membership on export of Iranian handmade carpet. The survey uses insights from 80 experts who have at least ten years of related job experiences in carpet industry by performing an expletory and using descriptive and quantitative method for analyzing the data. The results of the survey indicate that Iran's membership in WTO will most likely reduce the sales price of handmade carpet. In addition, Iran's membership in WTO will increase scientific and professional power in handmade carpet. It will also help industry get more exposure into international market.

Analysing "Migrant" Membership Frames through Education Policy Discourse: An Example of Restrictive "Integration" Policy within Europe

Science.gov (United States)

Dubois-Shaik, Farah

2014-01-01

This article proposes combining discourse theory and perspectives on political membership developments in Western European societies. It combines theories and examples of policy discourses about "migrant integration" in the Swiss national context in the sphere of education. This examination aims to deconstruct specific membership framing…

Electric powertrain modeling of a fuel cell hybrid electric vehicle and development of a power distribution algorithm based on driving mode recognition

Energy Technology Data Exchange (ETDEWEB)

Ryu, Junghwan; Park, Yeongseop; Sunwoo, Myoungho [Hanyang University, 17 Haengdang-dong, Seongdong-gu, Seoul 133-791 (Korea)

2010-09-01

This paper proposes a novel fuzzy controller based on an adaptive membership function for optimum power management of a fuel cell hybrid electric vehicle (FCHEV). In the first phase, an electric powertrain model of the FCHEV is derived and a fuzzy controller is proposed. Then, the fuzzy controller is optimized using a genetic algorithm. The optimization process is accomplished through simulation for a given driving cycle. Since, however, the optimized result may vary according to the applied driving cycle for optimization, it is impossible for one optimized result to cover various driving cycles. In the second phase, an adaptive membership function based on a stochastic approach is proposed to guarantee optimum performance from the presented fuzzy controller, even though the driving cycle changes. This controller is referred to as the 'Stochastic fuzzy controller' (SFC) in this study. The SFC employs a stochastic approach where membership functions can be transformed statistically using a probability evaluated from driving pattern recognition. Then, driving cycle analysis is performed through off-line simulation and hardware in a loop simulation (HILS) test for four driving cycles. Finally, the SFC shows the best performance in terms of minimum fuel consumption and state-of-charge (SoC) maintenance. (author)

Measuring the Economic Impact of Rural Tourism Membership on Local Economy: A Korean Case Study

Directory of Open Access Journals (Sweden)

Hio-Jung Shin

2017-04-01

Full Text Available The implementation of rural tourism membership can aid in boosting economic growth in rural areas. This study examines households’ preferences for rural tourism experience in association with sales of local agricultural products. Using a choice experiment method developed by experimental designs, this paper examines households’ preferences to trade off purchasing costs of local agricultural products against various benefits provided by the rural tourism membership. The methods utilized in this paper represent an effective approach to evaluate the value of local tourism resources and the influence of these resources on the local economy. In empirical estimation we applied econometric approaches that allow for different preferences by incorporating income and residence effects into the models. Findings reveal that respondents place a premium on tourism attributes such as invitation seats and outdoor adventure tickets when choosing a tourism membership. We also find that the economic impacts associated with inducing higher-level tourism membership are substantial. This paper illustrates the potential for the development of a strategy associated with rural tourism management to enhance the local economy.

Factors associated with Spanish older people's membership in political organizations: the role of active aging activities.

Science.gov (United States)

Serrat, Rodrigo; Villar, Feliciano; Celdrán, Montserrat

2015-09-01

This study explores older people's membership in political organizations by using data from the Survey on older people 2010, carried out by Spain's National Institute for older people and social services. The objectives were to describe the extent of this kind of participation among Spaniards aged 65 and over, and to analyze the factors that are associated with it. Results show that only slightly less than 7 % of the sample belonged to a political organization. To analyze the factors related to this membership, a set of models of multivariate analyses were run, including socioeconomic resources and participation in other types of active aging activity (participation in leisure, learning, and productive activities). Educational level, leisure activities, learning activities, and only volunteering in the case of productive activities were found to be associated with membership in political organizations. Results provide partial support for the socioeconomic resources model and suggest that engagement in leisure activities, learning activities, and volunteering might have an enhancing effect on membership in political organizations.

Refugees, nationalism, and political membership

Directory of Open Access Journals (Sweden)

Signe Larsen

2012-09-01

Full Text Available This essay aims to understand how refugees present a problem for liberal nation-states. The point of departure is Arendt’s The Origins of Totalitarianism where she argues that the continual existence of refugees within liberal nation-states threatens to break down the principle of equality before the law thereby enabling the rise of police-states and totalitarianism. In light of this diagnosis, three of Arendt’s philosophical heirs—Giorgio Agamben, Seyla Benhabib and Peg Birmingham—argue that it is necessary to think political membership in different and broader terms than national citizenship if we are to avoid a new rise of totalitarianism.

Party member recruitment and the representativeness of party membership

DEFF Research Database (Denmark)

Kosiara-Pedersen, Karina

Party membership figures are in decline. However, parties are still recruiting party members. Are there any differences in the social and political characteristics of old and new party members? If there is a difference, are new party members more or less representative for party voters than old...

Sex, Occupational Membership, and the Measurement of Psychological Androgyny.

Science.gov (United States)

Fitzgerald, Louise F.

This study examines the relationship of androgyny to occupational membership. It was hypothesized that: (1) persons in stereotypically masculine occupations would be characterized by high levels of masculininity; (2) workers in a typically feminine occupation would rate themselves as highly feminine; and (3) androgynous individuals would be…

Robust fault detection of linear systems using a computationally efficient set-membership method

DEFF Research Database (Denmark)

Tabatabaeipour, Mojtaba; Bak, Thomas

2014-01-01

In this paper, a computationally efficient set-membership method for robust fault detection of linear systems is proposed. The method computes an interval outer-approximation of the output of the system that is consistent with the model, the bounds on noise and disturbance, and the past measureme...... is trivially parallelizable. The method is demonstrated for fault detection of a hydraulic pitch actuator of a wind turbine. We show the effectiveness of the proposed method by comparing our results with two zonotope-based set-membership methods....

The current acceptance, accessibility and recognition of Chinese and Ayurvedic medicine in the United States in the public, governmental, and industrial sectors.

Science.gov (United States)

Park, Jongbae J; Beckman-Harned, Selena; Cho, Gayoung; Kim, Duckhee; Kim, Hangon

2012-06-01

To assess the current level of acceptance in the United States of complementary and alternative medicine, recent research into the prevalence, acceptance, accessibility, and recognition of complementary and alternative therapies were reviewed. Several signs point to an increasing acceptance of complementary and alternative medicine in the United States; the use of complementary and alternative medicine is significantly increasing, many aspects of Chinese medicine and Ayurveda are becoming mainstream, practitioners in the United States are beginning to be licensed, and insurance companies are beginning to cover some complementary and alternative therapies. Remaining challenges to true acceptance include the restrictive Western mindset, the absence of published studies, a lack of consistent manufacturing processes and quality standards, and a fear of adulteration. Although the field still faces many challenges, alternative and complementary medicine, including Chinese medicine and Ayurvedic medicine, is becoming more accepted and accessible in the United States.

Information Technology Strategies for Honor Society and Organization Membership Retention in Online Nursing Programs.

Science.gov (United States)

Hopkins, Emily E; Wasco, Jennifer J

Membership retention in an honor society or organization is of utmost importance for sustainability. However, retaining members in organizations that serve online education nursing students can be a challenging task. Understanding the importance of creating a sense of community to promote retention within an honor society chapter, nursing faculty at a small private university implemented different online approaches. This article highlights successful information technology strategies to promote membership retention in organizations for online nursing students.

Gang Membership and Drug Involvement: Untangling the Complex Relationship

Science.gov (United States)

Bjerregaard, Beth

2010-01-01

Previous research has consistently demonstrated a relationship between gang membership and involvement in illegal substances. In addition, researchers have noted that gang members are frequently more heavily involved in drug sales, which often lead to increases in violent behaviors. Most of this research, however, is either cross-sectional or…

Object recognition with hierarchical discriminant saliency networks.

Science.gov (United States)

Han, Sunhyoung; Vasconcelos, Nuno

2014-01-01

The benefits of integrating attention and object recognition are investigated. While attention is frequently modeled as a pre-processor for recognition, we investigate the hypothesis that attention is an intrinsic component of recognition and vice-versa. This hypothesis is tested with a recognition model, the hierarchical discriminant saliency network (HDSN), whose layers are top-down saliency detectors, tuned for a visual class according to the principles of discriminant saliency. As a model of neural computation, the HDSN has two possible implementations. In a biologically plausible implementation, all layers comply with the standard neurophysiological model of visual cortex, with sub-layers of simple and complex units that implement a combination of filtering, divisive normalization, pooling, and non-linearities. In a convolutional neural network implementation, all layers are convolutional and implement a combination of filtering, rectification, and pooling. The rectification is performed with a parametric extension of the now popular rectified linear units (ReLUs), whose parameters can be tuned for the detection of target object classes. This enables a number of functional enhancements over neural network models that lack a connection to saliency, including optimal feature denoising mechanisms for recognition, modulation of saliency responses by the discriminant power of the underlying features, and the ability to detect both feature presence and absence. In either implementation, each layer has a precise statistical interpretation, and all parameters are tuned by statistical learning. Each saliency detection layer learns more discriminant saliency templates than its predecessors and higher layers have larger pooling fields. This enables the HDSN to simultaneously achieve high selectivity to target object classes and invariance. The performance of the network in saliency and object recognition tasks is compared to those of models from the biological and

78 FR 55244 - Senior Executive Service Performance Review Board; Membership

Science.gov (United States)

2013-09-10

... DEFENSE NUCLEAR FACILITIES SAFETY BOARD Senior Executive Service Performance Review Board... the membership of the Defense Nuclear Facilities Safety Board (DNFSB) Senior Executive Service (SES... rating of a senior executive's performance, the executive's response, and the higher level official's...

Neuro-fuzzy modelling of hydro unit efficiency

International Nuclear Information System (INIS)

Iliev, Atanas; Fushtikj, Vangel

2003-01-01

This paper presents neuro-fuzzy method for modeling of the hydro unit efficiency. The proposed method uses the characteristics of the fuzzy systems as universal function approximates, as well the abilities of the neural networks to adopt the parameters of the membership's functions and rules in the consequent part of the developed fuzzy system. Developed method is practically applied for modeling of the efficiency of unit which will be installed in the hydro power plant Kozjak. Comparison of the performance of the derived neuro-fuzzy method with several classical polynomials models is also performed. (Author)

78 FR 63275 - Senior Executive Service Performance Review Boards Membership

Science.gov (United States)

2013-10-23

... DEPARTMENT OF TRANSPORTATION Office of the Secretary [Docket No. DOT-OST-2013-0184] Senior Executive Service Performance Review Boards Membership AGENCY: Office of the Secretary, Department of Transportation (DOT). ACTION: Notice of Performance Review Board (PRB) appointments. SUMMARY: DOT publishes the...

77 FR 43900 - Senior Executive Service Performance Review Boards Membership

Science.gov (United States)

2012-07-26

... DEPARTMENT OF TRANSPORTATION Office of the Secretary [Docket No. DOT-OST-2012-0111] Senior Executive Service Performance Review Boards Membership AGENCY: Office of the Secretary, Department of Transportation (DOT). ACTION: Notice of Performance Review Board (PRB) appointments. SUMMARY: DOT publishes the...

76 FR 63986 - Senior Executive Service Performance Review Boards Membership

Science.gov (United States)

2011-10-14

... DEPARTMENT OF TRANSPORTATION Office of the Secretary [Docket No. DOT-OST-2011-0188] Senior Executive Service Performance Review Boards Membership AGENCY: Office of the Secretary, Department of Transportation (DOT). ACTION: Notice of Performance Review Board (PRB) appointments. SUMMARY: DOT publishes the...

Trends in Female Authorships, Editorial Board Memberships, and Editorships in Educational Psychology Journals from 2003 to 2008

Science.gov (United States)

Fong, Carlton J.; Yoo, Julia H.; Jones, Sara J.; Torres, Laura G.; Decker, Mark Lowry

2009-01-01

Robinson, McKay, Katayama, and Fan ("Contemporary Educational Psychology," 23, 331-343, 1998) reported that women were underrepresented in terms of authorships, editorial board memberships, and editorships in the field of educational psychology based on membership trends. More recently, Evans, Hsieh, and Robinson ("Educational Psychology Review,"…

37 CFR 11.9 - Limited recognition in patent matters.

Science.gov (United States)

2010-07-01

... 37 Patents, Trademarks, and Copyrights 1 2010-07-01 2010-07-01 false Limited recognition in patent matters. 11.9 Section 11.9 Patents, Trademarks, and Copyrights UNITED STATES PATENT AND TRADEMARK OFFICE, DEPARTMENT OF COMMERCE REPRESENTATION OF OTHERS BEFORE THE UNITED STATES PATENT AND TRADEMARK OFFICE...

75 FR 59704 - Office of Management; Performance Review Board Membership

Science.gov (United States)

2010-09-28

... FURTHER INFORMATION CONTACT: Mary Beth Pultz, Director, Executive Resources Team, Human Resources Services... DEPARTMENT OF EDUCATION Office of Management; Performance Review Board Membership AGENCY... Department of Education for 2010 is composed of career and non-career senior executives. The PRB reviews and...

78 FR 5516 - Senior Executive Service Performance Review Board Membership

Science.gov (United States)

2013-01-25

... OCCUPATIONAL SAFETY AND HEALTH REVIEW COMMISSION Senior Executive Service Performance Review Board Membership AGENCY: Occupational Safety and Health Review Commission. ACTION: Annual notice. SUMMARY: Notice... established a Senior Executive Service PRB. The PRB reviews and evaluates the initial appraisal of a senior...

75 FR 14214 - Senior Executive Service Performance Review Board Membership

Science.gov (United States)

2010-03-24

... OCCUPATIONAL SAFETY AND HEALTH REVIEW COMMISSION Senior Executive Service Performance Review Board Membership AGENCY: Occupational Safety and Health Review Commission. ACTION: Annual notice. SUMMARY: Notice... established a Senior Executive Service PRB. The PRB reviews and evaluates the initial appraisal of a senior...

76 FR 39926 - Senior Executive Service Performance Review Board Membership

Science.gov (United States)

2011-07-07

... OCCUPATIONAL SAFETY AND HEALTH REVIEW COMMISSION Senior Executive Service Performance Review Board Membership AGENCY: Occupational Safety and Health Review Commission. ACTION: Annual notice. SUMMARY: Notice... established a Senior Executive Service PRB. The PRB reviews and evaluates the initial appraisal of a senior...

76 FR 81998 - Senior Executive Service Performance Review Board Membership

Science.gov (United States)

2011-12-29

... OCCUPATIONAL SAFETY AND HEALTH REVIEW COMMISSION Senior Executive Service Performance Review Board Membership AGENCY: Occupational Safety and Health Review Commission. ACTION: Annual notice. SUMMARY: Notice... established a Senior Executive Service PRB. The PRB reviews and evaluates the initial appraisal of a senior...

76 FR 57947 - Senior Executive Service Performance Review Board Membership

Science.gov (United States)

2011-09-19

... AND EFFICIENCY Senior Executive Service Performance Review Board Membership AGENCY: Council of the... of Personnel Management, each agency is required to establish one or more Senior Executive Service... appraisal of a senior executive's performance by the supervisor, along with any recommendations to the...

STUDY OF HOME DEMONSTRATION UNITS IN A SAMPLE OF 27 COUNTIES IN NEW YORK STATE, NUMBER 3.

Science.gov (United States)

ALEXANDER, FRANK D.; HARSHAW, JEAN

AN EXPLORATORY STUDY EXAMINED CHARACTERISTICS OF 1,128 HOME DEMONSTRATION UNITS TO SUGGEST HYPOTHESES AND SCOPE FOR A MORE INTENSIVE STUDY OF A SMALL SAMPLE OF UNITS, AND TO PROVIDE GUIDANCE IN SAMPLING. DATA WERE OBTAINED FROM A SPECIALLY DESIGNED MEMBERSHIP CARD USED IN 1962. UNIT SIZE AVERAGED 23.6 MEMBERS BUT THE RANGE WAS FAIRLY GREAT. A NEED…

Gang membership of California middle school students: behaviors and attitudes as mediators of school violence.

Science.gov (United States)

Estrada, Joey Nuñez; Gilreath, Tamika D; Astor, Ron Avi; Benbenishty, Rami

2013-08-01

Empirical evidence examining how risk and protective behaviors may possibly mediate the association between gang membership and school violence is limited. This study utilizes a statewide representative sample of 152 023 Latino, Black and White seventh graders from California to examine a theoretical model of how school risk (e.g. truancy, school substance use and risky peer approval) and protective (e.g. connectedness, support and safety) behaviors and attitudes mediate the effects of gang membership on school violence behaviors. The dataset was collected in the 2005-2006 and 2006-2007 academic school years using the ongoing large-scale California Healthy Kids Survey conducted by WestEd for the State of California. Approximately 9.5% of the sample considered themselves to be a member of a gang. The findings indicate that school risk behaviors and attitudes mediate the association between gang membership and school violence behaviors. Although the direct negative association between gang membership and school violence perpetration is weak, the positive indirect effect mediated by school risks behaviors and attitudes is strong. This indicates that when gang members engage in school risk behaviors, they are much more likely to be school violence perpetrators. Implications for further research, theory and practice for both gang and school violence researchers are discussed.

Defining Components of Team Leadership and Membership in Prehospital Emergency Medical Services.

Science.gov (United States)

Crowe, Remle P; Wagoner, Robert L; Rodriguez, Severo A; Bentley, Melissa A; Page, David

2017-01-01

Teamwork is critical for patient and provider safety in high-stakes environments, including the setting of prehospital emergency medical services (EMS). We sought to describe the components of team leadership and team membership on a single patient call where multiple EMS providers are present. We conducted a two-day focus group with nine subject matter experts in crew resource management (CRM) and EMS using a structured nominal group technique (NGT). The specific question posed to the group was, "What are the specific components of team leadership and team membership on a single patient call where multiple EMS providers are present?" After round-robin submission of ideas and in-depth discussion of the meaning of each component, participants voted on the most important components of team leadership and team membership. Through the NGT process, we identified eight components of team leadership: a) creates an action plan; b) communicates; c) receives, processes, verifies, and prioritizes information; d) reconciles incongruent information; e) demonstrates confidence, compassion, maturity, command presence, and trustworthiness; f) takes charge; g) is accountable for team actions and outcomes; and h) assesses the situation and resources and modifies the plan. The eight essential components of team membership identified included: a) demonstrates followership, b) maintains situational awareness, c) demonstrates appreciative inquiry, d) does not freelance, e) is an active listener, f) accurately performs tasks in a timely manner, g) is safety conscious and advocates for safety at all times, and h) leaves ego and rank at the door. This study used a highly structured qualitative technique and subject matter experts to identify components of teamwork essential for prehospital EMS providers. These findings and may be used to help inform the development of future EMS training and assessment initiatives.

2013 Membership Profile of the Financial Therapy Association: A Strategic Planning Report

Directory of Open Access Journals (Sweden)

Sarah Asebedo

2014-03-01

Full Text Available A second profile of the Financial Therapy Association (FTA membership was conducted to continue the development of financial therapy as a new area of practice and study. The FTA was established in 2010 as an effort to bring together practitioners and researchers from diverse disciplines to share in a common vision of financial therapy. This profile report depicts the demographic profile (e.g., age, education, gender, occupation, income and perspectives of members who participated in the survey commissioned by the FTA Strategic Planning Committee in 2013. The results of the membership profile survey highlight the future directions of and the challenges facing the FTA and the emerging area of financial therapy.

A Spoken English Recognition Expert System.

Science.gov (United States)

1983-09-01

34Speech Recognition by Computer," Scientific American. New York: Scientific American, April 1981: 64-76. 16. Marcus, Mitchell P. A Theo of Syntactic...prob)...) Pcssible words for voice decoder to choose from are: gents dishes issues itches ewes folks foes comunications units eunichs error * farce

78 FR 32239 - Request for Applicants for Appointment to the United States-Brazil CEO Forum

Science.gov (United States)

2013-05-29

.... Candidates are currently sought for membership on the U.S. Section of the Forum. Each candidate must be the... currently doing business in both Brazil and the United States. Each candidate also must be a U.S. citizen or... United States to attend official Forum meetings as well as independent U.S. Section and Committee...

Specific recognition of reproductive parasite workers by nest-entrance guards in the bumble bee Bombus terrestris.

Science.gov (United States)

Blacher, Pierre; Boreggio, Laurie; Leroy, Chloé; Devienne, Paul; Châline, Nicolas; Chameron, Stéphane

2013-12-10

The impact of social parasites on their hosts' fitness is a strong selective pressure that can lead to the evolution of adapted defence strategies. Guarding the nest to prevent the intrusion of parasites is a widespread response of host species. If absolute rejection of strangers provides the best protection against parasites, more fine-tuned strategies can prove more adaptive. Guarding is indeed costly and not all strangers constitute a real threat. That is particularly true for worker reproductive parasitism in social insects since only a fraction of non-nestmate visitors, the fertile ones, can readily engage in parasitic reproduction. Guards should thus be more restrictive towards fertile than sterile non-nestmate workers. We here tested this hypothesis by examining the reaction of nest-entrance guards towards nestmate and non-nestmate workers with varying fertility levels in the bumble bee Bombus terrestris. Because social recognition in social insects mainly relies on cuticular lipids (CLs), chemical analysis was also conducted to examine whether workers' CLs could convey the relevant information upon which guards could base their decision. We thus aimed to determine whether an adapted defensive strategy to worker reproductive parasitism has evolved in B. terrestris colonies. Chemical analysis revealed that the cuticular chemical profiles of workers encode information about both their colony membership and their current fertility, therefore providing potential recognition cues for a suitable adjustment of the guards' defensive decisions. We found that guards were similarly tolerant towards sterile non-nestmate workers than towards nestmate workers. However, as predicted, guards responded more aggressively towards fertile non-nestmates. Our results show that B. terrestris guards discriminate non-nestmates that differ in their reproductive potential and respond more strongly to the individuals that are a greatest threat for the colony. Cuticular hydrocarbons are

Horror Image Recognition Based on Context-Aware Multi-Instance Learning.

Science.gov (United States)

Li, Bing; Xiong, Weihua; Wu, Ou; Hu, Weiming; Maybank, Stephen; Yan, Shuicheng

2015-12-01

Horror content sharing on the Web is a growing phenomenon that can interfere with our daily life and affect the mental health of those involved. As an important form of expression, horror images have their own characteristics that can evoke extreme emotions. In this paper, we present a novel context-aware multi-instance learning (CMIL) algorithm for horror image recognition. The CMIL algorithm identifies horror images and picks out the regions that cause the sensation of horror in these horror images. It obtains contextual cues among adjacent regions in an image using a random walk on a contextual graph. Borrowing the strength of the fuzzy support vector machine (FSVM), we define a heuristic optimization procedure based on the FSVM to search for the optimal classifier for the CMIL. To improve the initialization of the CMIL, we propose a novel visual saliency model based on the tensor analysis. The average saliency value of each segmented region is set as its initial fuzzy membership in the CMIL. The advantage of the tensor-based visual saliency model is that it not only adaptively selects features, but also dynamically determines fusion weights for saliency value combination from different feature subspaces. The effectiveness of the proposed CMIL model is demonstrated by its use in horror image recognition on two large-scale image sets collected from the Internet.

Fast neuromimetic object recognition using FPGA outperforms GPU implementations.

Science.gov (United States)

Orchard, Garrick; Martin, Jacob G; Vogelstein, R Jacob; Etienne-Cummings, Ralph

2013-08-01

Recognition of objects in still images has traditionally been regarded as a difficult computational problem. Although modern automated methods for visual object recognition have achieved steadily increasing recognition accuracy, even the most advanced computational vision approaches are unable to obtain performance equal to that of humans. This has led to the creation of many biologically inspired models of visual object recognition, among them the hierarchical model and X (HMAX) model. HMAX is traditionally known to achieve high accuracy in visual object recognition tasks at the expense of significant computational complexity. Increasing complexity, in turn, increases computation time, reducing the number of images that can be processed per unit time. In this paper we describe how the computationally intensive and biologically inspired HMAX model for visual object recognition can be modified for implementation on a commercial field-programmable aate Array, specifically the Xilinx Virtex 6 ML605 evaluation board with XC6VLX240T FPGA. We show that with minor modifications to the traditional HMAX model we can perform recognition on images of size 128 × 128 pixels at a rate of 190 images per second with a less than 1% loss in recognition accuracy in both binary and multiclass visual object recognition tasks.

Oxytocin improves emotion recognition for older males.

Science.gov (United States)

Campbell, Anna; Ruffman, Ted; Murray, Janice E; Glue, Paul

2014-10-01

Older adults (≥60 years) perform worse than young adults (18-30 years) when recognizing facial expressions of emotion. The hypothesized cause of these changes might be declines in neurotransmitters that could affect information processing within the brain. In the present study, we examined the neuropeptide oxytocin that functions to increase neurotransmission. Research suggests that oxytocin benefits the emotion recognition of less socially able individuals. Men tend to have lower levels of oxytocin and older men tend to have worse emotion recognition than older women; therefore, there is reason to think that older men will be particularly likely to benefit from oxytocin. We examined this idea using a double-blind design, testing 68 older and 68 young adults randomly allocated to receive oxytocin nasal spray (20 international units) or placebo. Forty-five minutes afterward they completed an emotion recognition task assessing labeling accuracy for angry, disgusted, fearful, happy, neutral, and sad faces. Older males receiving oxytocin showed improved emotion recognition relative to those taking placebo. No differences were found for older females or young adults. We hypothesize that oxytocin facilitates emotion recognition by improving neurotransmission in the group with the worst emotion recognition. Copyright © 2014 Elsevier Inc. All rights reserved.

The Effects of Minimal Group Membership on Young Preschoolers’ Social Preferences, Estimates of Similarity, and Behavioral Attribution

Directory of Open Access Journals (Sweden)

Nadja Richter

2016-07-01

Full Text Available We investigate young children’s sensitivity to minimal group membership. Previous research has suggested that children do not show sensitivity to minimal cues to group membership until the age of five to six, contributing to claims that this is an important transition in the development of intergroup cognition and behavior. In this study, we investigated whether even younger children are sensitive to minimal cues to group membership. Random assignment to one of either of two color groups created a temporary, visually salient minimal group membership in 3 and 4-year-old study participants. Using explicit measures, we tested whether children preferred minimal group members when making social judgments. We find that, in the absence of any knowledge regarding the two groups, children expressed greater liking for ingroup than outgroup targets. Moreover, children estimated that ingroup members would share their preferences. Our findings demonstrate that from early in development, humans assess unknown others on the basis of minimal cues to social similarity and that the perception of group boundaries potentially underlies social assortment in strangers.

Depression, Help-Seeking and Self-Recognition of Depression among Dominican, Ecuadorian and Colombian Immigrant Primary Care Patients in the Northeastern United States

Directory of Open Access Journals (Sweden)

Susan Caplan

2015-08-01

Full Text Available Latinos, the largest minority group in the United States, experience mental health disparities, which include decreased access to care, lower quality of care and diminished treatment engagement. The purpose of this cross-sectional study of 177 Latino immigrants in primary care is to identify demographic factors, attitudes and beliefs, such as stigma, perceived stress, and ethnic identity that are associated with depression, help-seeking and self-recognition of depression. Results indicated that 45 participants (25% had depression by Patient Health Questionnaire (PHQ-9 criteria. Factors most likely to be associated with depression were: poverty; difficulty in functioning; greater somatic symptoms, perceived stress and stigma; number of chronic illnesses; and poor or fair self-rated mental health. Fifty-four people endorsed help-seeking. Factors associated with help-seeking were: female gender, difficulty in functioning, greater somatic symptoms, severity of depression, having someone else tell you that you have an emotional problem, and poor or fair self-rated mental health. Factors most likely to be associated with self-recognition were the same, but also included greater perceived stress. This manuscript contributes to the literature by examining attitudinal factors that may be associated with depression, help-seeking and self-recognition among subethnic groups of Latinos that are underrepresented in research studies.

Iris recognition in the presence of ocular disease.

Science.gov (United States)

Aslam, Tariq Mehmood; Tan, Shi Zhuan; Dhillon, Baljean

2009-05-06

Iris recognition systems are among the most accurate of all biometric technologies with immense potential for use in worldwide security applications. This study examined the effect of eye pathology on iris recognition and in particular whether eye disease could cause iris recognition systems to fail. The experiment involved a prospective cohort of 54 patients with anterior segment eye disease who were seen at the acute referral unit of the Princess Alexandra Eye Pavilion in Edinburgh. Iris camera images were obtained from patients before treatment was commenced and again at follow-up appointments after treatment had been given. The principal outcome measure was that of mathematical difference in the iris recognition templates obtained from patients' eyes before and after treatment of the eye disease. Results showed that the performance of iris recognition was remarkably resilient to most ophthalmic disease states, including corneal oedema, iridotomies (laser puncture of iris) and conjunctivitis. Problems were, however, encountered in some patients with acute inflammation of the iris (iritis/anterior uveitis). The effects of a subject developing anterior uveitis may cause current recognition systems to fail. Those developing and deploying iris recognition should be aware of the potential problems that this could cause to this key biometric technology.

75 FR 31279 - Blueberry Promotion, Research, and Information Order; Increase Membership

Science.gov (United States)

2010-06-03

..., Advertising, Consumer information, Marketing agreements, Blueberry promotion, Reporting and recordkeeping... DEPARTMENT OF AGRICULTURE Agricultural Marketing Service 7 CFR Part 1218 [Document Number AMS-FV-09-0022; FV-09-705] Blueberry Promotion, Research, and Information Order; Increase Membership AGENCY...

Amendment to the Agreement between CERN and the Republic of Cyprus concerning the granting of the status of Associate Membership as the pr-stage to Membership at CERN Extension of the deadline for internal approval of the agreement by the Republic of Cyprus

CERN Document Server

2015-01-01

Amendment to the Agreement between CERN and the Republic of Cyprus concerning the granting of the status of Associate Membership as the pr-stage to Membership at CERN Extension of the deadline for internal approval of the agreement by the Republic of Cyprus

Reconsidering Hispanic Gang Membership and Acculturation in a Multivariate Context

Science.gov (United States)

Miller, Holly Ventura; Barnes, J. C.; Hartley, Richard D.

2011-01-01

Previous qualitative research has suggested that Hispanic gang membership is linked to the process of acculturation. Specifically, studies have indicated that those who are less assimilated into mainstream American or "Anglo" society are at greater risk for joining gangs. Building on these observations, this study examines the relationship between…

Society Membership Profile: Employment Mobility and Career Change. AIP Report.

Science.gov (United States)

Porter, Beverly Fearn; Kellman, Dawn

Information on the influence of employment mobility and career change on the flexibility of the physics labor force is provided, noting the past several decades have brought a dramatic roller coaster of changes to the physics community. Five sections are as follows: membership composition (demographics, professional self-identification, and…

[Graduate Students in Medicine Course: Motivation, Socialization and Academic Recognition].

Science.gov (United States)

Magalhães-Alves, Cristina; Barbosa, Joselina; Ribeiro, Laura; Ferreira, Maria Amélia

2017-04-28

Students with a previous degree have personal and professional experiences that can contribute to a different academic path during the medical course. This study aims to: 1) analyze both satisfaction and impact of academic recognition; 2) investigate whether motivations and expectations at entrance are maintained along the course; 3) to evaluate socialization after regress to higher education. To accomplish the first objective a questionnaire was administered to 82 students who entered the medical school from 2011/2012 to 2013/2014. For the second and third goals a focus group was run (three groups with five students each, representing the three academic years). Students felt satisfied with the recognition, and 50% of them believe that accreditations replace knowledge acquired with the curricular units, and 47% preferred to obtain accreditation. Academic achievement was negatively associated with the satisfaction of recognition and positively with age, background and registration cycle. Socialization of these students is distinct from the younger ones, their motivations at entrance are intrinsic and, contrary to expectations, are maintained along the course. Students prefer recognition instead of attending the curricular units. The most satisfied with the recognition accomplish less credits and the younger ones, from health area and enrolled in the clinical cycle, accomplish more. Along the course, motivations become more solid, expectations change and socialization is carried out with greater responsibility.

Memberships, Voting, Social Trust, and Online Participation in Emerging Adulthood

Science.gov (United States)

Menard, Lauren Ann; Slater, Robert O.

2012-01-01

American political and civic engagement was examined by life stage and educational attainment levels in 2008 political data. Engaged proportions of older Americans were larger than young Americans for Memberships, Voting, and Social Trust. A larger proportion of Young Adults (23%) than Older Adults (19%), however, was found for Online…

AUTOMATIC SPEECH RECOGNITION SYSTEM CONCERNING THE MOROCCAN DIALECTE (Darija and Tamazight)

OpenAIRE

A. EL GHAZI; C. DAOUI; N. IDRISSI

2012-01-01

In this work we present an automatic speech recognition system for Moroccan dialect mainly: Darija (Arab dialect) and Tamazight. Many approaches have been used to model the Arabic and Tamazightphonetic units. In this paper, we propose to use the hidden Markov model (HMM) for modeling these phoneticunits. Experimental results show that the proposed approach further improves the recognition.

Improving Diversity and Educational Outreach at the K-14 level: A Call to Action for the AGU Membership

Science.gov (United States)

Hall, F. R.; Johnson, R.

2002-12-01

In 2002, the Subcommittee on Diversity (SD) of the Committee on Education and Human Resources (CEHR) submitted a Diversity Plan to the leadership of AGU. This plan outlines specific programs and goals that AGU can follow to help improve diversity in the Earth and space sciences. Diversity issues are key components to improve the human resource potential in the geosciences. As women are the majority population, and racial and ethnic minorities are experiencing the largest growing segment of the United States population, it is within our best interest to actively recruit and retain these populations into our dynamic fields of study. The SD recognizes that the strength of the AGU lies within its membership. Composed of some of the brightest and talented scientists in the world, the AGU members are leaders and pioneers in our understanding of the Earth System. Yet, many, if not most, people within underrepresented communities are not aware of the relevance that the Earth and space sciences play in their lives. In this discussion, we will discuss the importance of the AGU membership in the Diversity Plan. In addition, we will outline specific things that AGU members can do to improve access of US students and citizenry to Earth and space science education. These steps require that AGU members become active advocates in the public, especially at the K-14 level.

Polynomial fuzzy model-based control systems stability analysis and control synthesis using membership function dependent techniques

CERN Document Server

Lam, Hak-Keung

2016-01-01

This book presents recent research on the stability analysis of polynomial-fuzzy-model-based control systems where the concept of partially/imperfectly matched premises and membership-function dependent analysis are considered. The membership-function-dependent analysis offers a new research direction for fuzzy-model-based control systems by taking into account the characteristic and information of the membership functions in the stability analysis. The book presents on a research level the most recent and advanced research results, promotes the research of polynomial-fuzzy-model-based control systems, and provides theoretical support and point a research direction to postgraduate students and fellow researchers. Each chapter provides numerical examples to verify the analysis results, demonstrate the effectiveness of the proposed polynomial fuzzy control schemes, and explain the design procedure. The book is comprehensively written enclosing detailed derivation steps and mathematical derivations also for read...

Which benefits and limits derive from ESA membership for European Countries owning ;medium-sized; space agencies?

Science.gov (United States)

Petroni, Giorgio; Bigliardi, Barbara; Galati, Francesco; Petroni, Alberto

2018-01-01

This study investigates the benefits and limits deriving from membership with ESA of six medium-sized space agencies in terms of strengthening and development (or not) of space technologies, as well as their contribution to the growth of productive activities and to the increase of services for citizens. This research contributes to the more general issue of the usefulness of space activities, not only for scientific or military-political purposes but also for economic and social development. Results show that, on the one hand, the membership with ESA has allowed smaller Countries to access space programs, to develop advanced technologies and to support the growth of their firms in some significant markets, but, on the other hand, the membership has also limited the access to space to few companies, without encouraging the broad dissemination of technological knowledge.

77 FR 66793 - Senior Executive Service: Membership of Performance Review Board

Science.gov (United States)

2012-11-07

... AGENCY FOR INTERNATIONAL DEVELOPMENT Senior Executive Service: Membership of Performance Review Board ACTION: Notice. SUMMARY: This notice lists approved candidates who will comprise a standing roster for service on the Agency's 2012 and 2013 SES Performance Review Boards. The Agency will use this...

8 CFR 1292.2 - Organizations qualified for recognition; requests for recognition; withdrawal of recognition...

Science.gov (United States)

2010-01-01

...; requests for recognition; withdrawal of recognition; accreditation of representatives; roster. 1292.2...; requests for recognition; withdrawal of recognition; accreditation of representatives; roster. (a) Qualifications of organizations. A non-profit religious, charitable, social service, or similar organization...

Determining open cluster membership. A Bayesian framework for quantitative member classification

Science.gov (United States)

Stott, Jonathan J.

2018-01-01

Aims: My goal is to develop a quantitative algorithm for assessing open cluster membership probabilities. The algorithm is designed to work with single-epoch observations. In its simplest form, only one set of program images and one set of reference images are required. Methods: The algorithm is based on a two-stage joint astrometric and photometric assessment of cluster membership probabilities. The probabilities were computed within a Bayesian framework using any available prior information. Where possible, the algorithm emphasizes simplicity over mathematical sophistication. Results: The algorithm was implemented and tested against three observational fields using published survey data. M 67 and NGC 654 were selected as cluster examples while a third, cluster-free, field was used for the final test data set. The algorithm shows good quantitative agreement with the existing surveys and has a false-positive rate significantly lower than the astrometric or photometric methods used individually.

Threshold models of recognition and the recognition heuristic

Directory of Open Access Journals (Sweden)

Edgar Erdfelder

2011-02-01

Full Text Available According to the recognition heuristic (RH theory, decisions follow the recognition principle: Given a high validity of the recognition cue, people should prefer recognized choice options compared to unrecognized ones. Assuming that the memory strength of choice options is strongly correlated with both the choice criterion and recognition judgments, the RH is a reasonable strategy that approximates optimal decisions with a minimum of cognitive effort (Davis-Stober, Dana, and Budescu, 2010. However, theories of recognition memory are not generally compatible with this assumption. For example, some threshold models of recognition presume that recognition judgments can arise from two types of cognitive states: (1 certainty states in which judgments are almost perfectly correlated with memory strength and (2 uncertainty states in which recognition judgments reflect guessing rather than differences in memory strength. We report an experiment designed to test the prediction that the RH applies to certainty states only. Our results show that memory states rather than recognition judgments affect use of recognition information in binary decisions.

Are clusters of dietary patterns and cluster membership stable over time? Results of a longitudinal cluster analysis study.

Science.gov (United States)

Walthouwer, Michel Jean Louis; Oenema, Anke; Soetens, Katja; Lechner, Lilian; de Vries, Hein

2014-11-01

Developing nutrition education interventions based on clusters of dietary patterns can only be done adequately when it is clear if distinctive clusters of dietary patterns can be derived and reproduced over time, if cluster membership is stable, and if it is predictable which type of people belong to a certain cluster. Hence, this study aimed to: (1) identify clusters of dietary patterns among Dutch adults, (2) test the reproducibility of these clusters and stability of cluster membership over time, and (3) identify sociodemographic predictors of cluster membership and cluster transition. This study had a longitudinal design with online measurements at baseline (N=483) and 6 months follow-up (N=379). Dietary intake was assessed with a validated food frequency questionnaire. A hierarchical cluster analysis was performed, followed by a K-means cluster analysis. Multinomial logistic regression analyses were conducted to identify the sociodemographic predictors of cluster membership and cluster transition. At baseline and follow-up, a comparable three-cluster solution was derived, distinguishing a healthy, moderately healthy, and unhealthy dietary pattern. Male and lower educated participants were significantly more likely to have a less healthy dietary pattern. Further, 251 (66.2%) participants remained in the same cluster, 45 (11.9%) participants changed to an unhealthier cluster, and 83 (21.9%) participants shifted to a healthier cluster. Men and people living alone were significantly more likely to shift toward a less healthy dietary pattern. Distinctive clusters of dietary patterns can be derived. Yet, cluster membership is unstable and only few sociodemographic factors were associated with cluster membership and cluster transition. These findings imply that clusters based on dietary intake may not be suitable as a basis for nutrition education interventions. Copyright © 2014 Elsevier Ltd. All rights reserved.

Survey Results of Society Membership: The Face of Our Profession at the Threshold of the New Millennium.

Science.gov (United States)

Michaels, Mishelle; Shepard, Marshall; Aberson, Sim; Friedman, Howard; Murphy, Kathleen

2001-07-01

In the spring of 1999, the American Meteorological Society surveyed its membership in order to update demographic information on the Society and to gain a more detailed perspective on the workplace. The survey was sent out with the dues statement and was solicited on a separate form returned independently to protect privacy and maintain anonymity. The responses were captured in a newly employed, machine-readable format to provide an ease of statistical analysis and data compilation not available in prior survey analysis. This data collection and subsequent demographic analysis represents the first attempt to update information regarding the membership since the 1993 survey results were published by Zevin and Seitter. The format of the 1999 survey was designed to logically follow and expand upon the historical data of the membership collected at varying intervals since 1975. The 1999 survey was broken into six parts. The sections on demographics, education, and current employment closely followed the previous surveys from 1993 and 1990 to facilitate direct comparisons between historical datasets whenever possible. The last three sections were reworked to elicit more declarative responses regarding personal circumstances, workplace circumstances, and additional issues concerning career choice and AMS membership, respectively. An additional space was provided for narrative comments regarding opportunities for women and minorities in the AMS-related sciences. Some 10 000 members were sent the 1999 dues statement and enclosed survey questionnaire. A total of 4669 members responded. The following is a detailed analysis of the data collected from the 1999 membership survey.

Improving associative memory in older adults with unitization.

Science.gov (United States)

Ahmad, Fahad N; Fernandes, Myra; Hockley, William E

2015-01-01

We examined if unitization inherent preexperimentally could reduce the associative deficit in older adults. In Experiment 1, younger and older adults studied compound word (CW; e.g., store keeper) and noncompound word (NCW; e.g., needle birth) pairs. We found a reduction in the age-related associative deficit such that older but not younger adults showed a discrimination advantage for CW relative to NCW pairs on a yes-no associative recognition test. These results suggest that CW compared to NCW word pairs provide schematic support that older adults can use to improve their memory. In Experiment 2, reducing study time in younger adults decreased associative recognition performance, but did not produce a discrimination advantage for CW pairs. In Experiment 3, both older and younger adults showed a discrimination advantage for CW pairs on a two-alternative forced-choice recognition test, which encourages greater use of familiarity. These results suggest that test format influenced young adults' use of familiarity during associative recognition of unitized pairs, and that older adults rely more on familiarity than recollection for associative recognition. Unitization of preexperimental associations, as in CW pairs, can alleviate age-related associative deficits.

Work and Recognition. Reviewing New Forms of Pathological Developments

DEFF Research Database (Denmark)

Petersen, Anders; Willig, Rasmus

2004-01-01

-Pierre Le Goff, Christophe Dejours and Emmanuel Renault. In spite of many differences, their work is united by a critical description of the logic of work and its consequences for individual individuation. These theorists agree that the growth of autonomy, flexibility and mobility has destabilised......The article deals with the relationship between work and recognition, taking Axel Honneth’s social-philosophical theory of the struggle for recognition as its point of departure. In order to give sociological substance to Honneth’s theory, we turn to three contemporary social theorists - Jean...... individual and collective identity formation and has led to an increase in social pathological illnesses such as stress and depression. By juxtaposing these analyses with Honneth’s theory on recognition, we conclude that the contemporary logic of work is unable to provide adequate forms of recognition...

78 FR 10104 - Watermelon Research and Promotion Plan; Importer Membership Requirements

Science.gov (United States)

2013-02-13

..., advertising, and promotion designed to strengthen the watermelon's position in the market place and to... Service 7 CFR Part 1210 [Document Number AMS-FV-11-0031] Watermelon Research and Promotion Plan; Importer... rule proposes to amend the Watermelon Research and Promotion Plan (Plan) importer membership...

Scale Invariant Gabor Descriptor-Based Noncooperative Iris Recognition

Directory of Open Access Journals (Sweden)

Du Yingzi

2010-01-01

Full Text Available Abstract A new noncooperative iris recognition method is proposed. In this method, the iris features are extracted using a Gabor descriptor. The feature extraction and comparison are scale, deformation, rotation, and contrast-invariant. It works with off-angle and low-resolution iris images. The Gabor wavelet is incorporated with scale-invariant feature transformation (SIFT for feature extraction to better extract the iris features. Both the phase and magnitude of the Gabor wavelet outputs were used in a novel way for local feature point description. Two feature region maps were designed to locally and globally register the feature points and each subregion in the map is locally adjusted to the dilation/contraction/deformation. We also developed a video-based non-cooperative iris recognition system by integrating video-based non-cooperative segmentation, segmentation evaluation, and score fusion units. The proposed method shows good performance for frontal and off-angle iris matching. Video-based recognition methods can improve non-cooperative iris recognition accuracy.

Scale Invariant Gabor Descriptor-based Noncooperative Iris Recognition

Directory of Open Access Journals (Sweden)

Zhi Zhou

2010-01-01

Full Text Available A new noncooperative iris recognition method is proposed. In this method, the iris features are extracted using a Gabor descriptor. The feature extraction and comparison are scale, deformation, rotation, and contrast-invariant. It works with off-angle and low-resolution iris images. The Gabor wavelet is incorporated with scale-invariant feature transformation (SIFT for feature extraction to better extract the iris features. Both the phase and magnitude of the Gabor wavelet outputs were used in a novel way for local feature point description. Two feature region maps were designed to locally and globally register the feature points and each subregion in the map is locally adjusted to the dilation/contraction/deformation. We also developed a video-based non-cooperative iris recognition system by integrating video-based non-cooperative segmentation, segmentation evaluation, and score fusion units. The proposed method shows good performance for frontal and off-angle iris matching. Video-based recognition methods can improve non-cooperative iris recognition accuracy.

The Benefits of FFA Membership as Part of Agricultural Education

Science.gov (United States)

Rose, Chelsea; Stephens, Carrie A.; Stripling, Christopher; Cross, Tim; Sanok, Danielle E.; Brawner, Shelby

2016-01-01

The study sought to identify the benefits of FFA membership based on the fulfillment of three basic human needs: love and belonging, self-esteem, and self-actualization. The study focused on the fulfillment of FFA members' basic human needs as defined by Abraham Maslow. The three needs on which this study focused are: love and belonging,…

Low Membership in Czech Political Parties: Party Strategy or Structural Determinants?

Czech Academy of Sciences Publication Activity Database

Linek, Lukáš; Pecháček, Š.

2007-01-01

Roč. 23, č. 2 (2007), s. 259-275 ISSN 1352-3279 R&D Projects: GA MPS 1J004/04-DP1 Institutional research plan: CEZ:AV0Z70280505 Keywords : political parties * party membership * antiparty sentiments * party organization Subject RIV: AD - Politology ; Political Sciences

Stemming the Growth: Exploring the Risk Factors in Group Membership in Domestic Street Gangs and Foreign Terrorist Organizations

Science.gov (United States)

2015-09-01

attempt to explain gang membership and offending and delinquent behavior. New CVE program developers may be able to use these same theories to help...outcome in question—in this case, gang membership. Gang research scholars have discovered a multitude of risk factors that are statistically linked...and offending and delinquent behavior, including cultural diffusion, differential association, social disorganization and strain theory. CVE program

Comparative study on membership legislation in Canadian and Chinese agricultural co-operative laws

Institute of Scientific and Technical Information of China (English)

CHU Zhihong; GUO Xiangyu

2007-01-01

For centuries, groups of people desiring to supply themselves with goods, to market their products, or to obtain services of various kinds on a co-operative basis, have made increasing use of co-operative associations to achieve these purposes. During the period, legislation designed especially for the incorporation and conduct of such associations has been enacted by different counties.Since a co-operative is established and carried on by and for the use of its members, this essay makes a comparison between Canadian and Chinese co-operative laws in terms of membership in the aspects of qualifications, rights and obligations and withdrawal of membership, so as to probe the function of co-operative legislation and find some enlightment from it.

Handbook of mixed membership models and their applications

CERN Document Server

Airoldi, Edoardo M; Erosheva, Elena A; Fienberg, Stephen E

2014-01-01

In response to scientific needs for more diverse and structured explanations of statistical data, researchers have discovered how to model individual data points as belonging to multiple groups. Handbook of Mixed Membership Models and Their Applications shows you how to use these flexible modeling tools to uncover hidden patterns in modern high-dimensional multivariate data. It explores the use of the models in various application settings, including survey data, population genetics, text analysis, image processing and annotation, and molecular biology.Through examples using real data sets, yo

A Novel Approach in Text-Independent Speaker Recognition in Noisy Environment

Directory of Open Access Journals (Sweden)

Nona Heydari Esfahani

2014-10-01

Full Text Available In this paper, robust text-independent speaker recognition is taken into consideration. The proposed method performs on manual silence-removed utterances that are segmented into smaller speech units containing few phones and at least one vowel. The segments are basic units for long-term feature extraction. Sub-band entropy is directly extracted in each segment. A robust vowel detection method is then applied on each segment to separate a high energy vowel that is used as unit for pitch frequency and formant extraction. By applying a clustering technique, extracted short-term features namely MFCC coefficients are combined with long term features. Experiments using MLP classifier show that the average speaker accuracy recognition rate is 97.33% for clean speech and 61.33% in noisy environment for -2db SNR, that shows improvement compared to other conventional methods.

Socioeconomic and programmatic determinants of renewal of membership in a voluntary micro health insurance scheme: evidence from Chakaria, Bangladesh.

Science.gov (United States)

Iqbal, Mohammad; Chowdhury, Asiful Haidar; Mahmood, Shehrin Shaila; Mia, Mohammad Nahid; Hanifi, S M A; Bhuiya, Abbas

2017-01-01

Out-of-pocket (OOP) healthcare expenditure is a major obstacle for achieving universal health coverage in low-income countries including Bangladesh. Sixty-three percent of the USD 27 annual per-capita healthcare expenditure in Bangladesh comes from individuals' pockets. Although health insurance is a financial tool for reducing OOP, use of such tools in Bangladesh has been limited to some small-scale voluntary micro health insurance (MHI) schemes run by non-governmental organizations (NGO). The MHI, however, can orient people on health insurance concept and provide learning for product development, implementation, barriers to enrolment, membership renewal, and other operational challenges and solutions. Keeping this in mind, icddr,b in 2012 initiated a pilot MHI, Amader Shasthya, in Chakaria, Bangladesh. This paper explores the determinants of membership renewal in this scheme, which is a perpetual challenge for MHI. Identify socioeconomic and programmatic determinants and their effects on membership renewal in a voluntary MHI scheme. Data came from the online management information system of the scheme and Health and Demographic Surveillance System of Chakaria, covering the period February 2012-May 2015. Association between renewal and independent variables was examined using cross-tabular and logistic regression analyses. Nearly 20% of households in the catchment area ever enroled in the scheme, and 38% renewed membership over the initial 3 years of operation. Frequency of consultation with healthcare providers, benefits received, proximity of member's residence to health facility, socioeconomic status, educational level, and age of the household head showed significant positive association with renewal of membership. Villagers' enrolment in the scheme indicated that even in poor economic and literacy conditions people can be motivated to enrol in insurance schemes. Degree of service utilization and benefits received can greatly enhance the probability of

Pattern recognition

CERN Document Server

Theodoridis, Sergios

2003-01-01

Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. Patter Recognition, 2e covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. This book presents cutting-edge material on neural networks, - a set of linked microprocessors that can form associations and uses pattern recognition to ""learn"" -and enhances student motivation by approaching pattern recognition from the designer's point of view. A direct result of more than 10

77 FR 71793 - Notice of Senior Executive Service Performance Review Board Membership

Science.gov (United States)

2012-12-04

..., Resources, and Technology, Agency for Healthcare Research and Quality, 540 Gaither Road, Suite 4010... DEPARTMENT OF HEALTH AND HUMAN SERVICES Agency for Healthcare Research and Quality Notice of Senior Executive Service Performance Review Board Membership The Agency for Healthcare Research and...

76 FR 64948 - Notice of Senior Executive Service Performance Review Board Membership

Science.gov (United States)

2011-10-19

..., Accountability, Resources, and Technology, Agency for Healthcare Research and Quality, 540 Gaither Road, Suite... DEPARTMENT OF HEALTH AND HUMAN SERVICES Agency for Healthcare Research and Quality Notice of Senior Executive Service Performance Review Board Membership The Agency for Healthcare Research and...

Estimating group size: effects of category membership, differential construal and selective exposure

NARCIS (Netherlands)

Bosveld, W.; Koomen, W.; van der Pligt, J.

1996-01-01

Examined the role of category membership, differential construal, and selective exposure in consensus estimation concerning the social categorization of religion. 54 involved and less involved Christians and 40 non-believers were asked to estimate the percentage of Christians in the Netherlands

Education for the Rights and Responsibilities of Trade Union Membership.

Science.gov (United States)

World Confederation of Organizations of the Teaching Profession, Morges (Switzerland).

It is vitally important for workers in all regions of the world to form unions and to exercise the rights and discharge the responsibilities which membership involves. The right to organize or join a union is essential not only for the welfare of the individual worker, or for all of those belonging to the union, but also for the welfare of society…

Density Estimation in Several Populations With Uncertain Population Membership

KAUST Repository

Ma, Yanyuan

2011-09-01

We devise methods to estimate probability density functions of several populations using observations with uncertain population membership, meaning from which population an observation comes is unknown. The probability of an observation being sampled from any given population can be calculated. We develop general estimation procedures and bandwidth selection methods for our setting. We establish large-sample properties and study finite-sample performance using simulation studies. We illustrate our methods with data from a nutrition study.

77 FR 75148 - Request for Applications for United States Travel and Tourism Advisory Board

Science.gov (United States)

2012-12-19

... States Travel and Tourism Advisory Board AGENCY: International Trade Administration, Commerce. ACTION: Notice of an opportunity to apply for membership on the United States Travel and Tourism Advisory Board... States Travel and Tourism Advisory Board (Board). The purpose of the Board is to advise the Secretary of...

The first facial expression recognition and analysis challenge

NARCIS (Netherlands)

Valstar, Michel F.; Jiang, Bihan; Mehu, Marc; Pantic, Maja; Scherer, Klaus

Automatic Facial Expression Recognition and Analysis, in particular FACS Action Unit (AU) detection and discrete emotion detection, has been an active topic in computer science for over two decades. Standardisation and comparability has come some way; for instance, there exist a number of commonly

New forms of conflict resolution: transformation, empowerment and recognition

Directory of Open Access Journals (Sweden)

Vicent Martínez Guzmán

2006-04-01

Full Text Available This paper uses the scientific field of Conflict Studies, within the framework of Peace Research. It is based on a philosophic conception of the “human condition” and is guided by the notions of empowerment and recognition as tools suitable for the pacific transformation of conflicts. It also looks at the relation of the doctrine of recognition with the problem of inequality and with a political philosophy of justice. It maintains that one cannot separate policies of recognition, more closely linked to identity and culture, from policies of justice, more attent to the pacific transformation of human inequalities, poverty, indigence, marginalization and exclusion. As an example of this proposal, it uses the most recent report of the United Nations Human Development Program.

Is Multiple Team Membership a Challenge or a Hindrance for Individual Employees?

NARCIS (Netherlands)

van de Brake, Hendrik; Walter, Frank; Rink, Floor; Essens, Peter; van der Vegt, Gerben S.

Many employees in today’s organizations are concurrently involved in more than one team at the same time. This study investigates the individual-level relationships between such multiple team memberships (MTM) and employees’ wellbeing and job performance. Building on the challenge-hindrance stressor

Primitive Based Action Representation and recognition

DEFF Research Database (Denmark)

Baby, Sanmohan

The presented work is aimed at designing a system that will model and recognize actions and its interaction with objects. Such a system is aimed at facilitating robot task learning. Activity modeling and recognition is very important for its potential applications in surveillance, human-machine i......The presented work is aimed at designing a system that will model and recognize actions and its interaction with objects. Such a system is aimed at facilitating robot task learning. Activity modeling and recognition is very important for its potential applications in surveillance, human......-machine interface, entertainment, biomechanics etc. Recent developments in neuroscience suggest that all actions are a compositions of smaller units called primitives. Current works based on primitives for action recognition uses a supervised framework for specifying the primitives. We propose a method to extract...... primitives automatically. These primitives are to be used to generate actions based on certain rules for combining. These rules are expressed as a stochastic context free grammar. A model merging approach is adopted to learn a Hidden Markov Model to t the observed data sequences. The states of the HMM...

Credit Scoring by Fuzzy Support Vector Machines with a Novel Membership Function

Directory of Open Access Journals (Sweden)

Jian Shi

2016-11-01

Full Text Available Due to the recent financial crisis and European debt crisis, credit risk evaluation has become an increasingly important issue for financial institutions. Reliable credit scoring models are crucial for commercial banks to evaluate the financial performance of clients and have been widely studied in the fields of statistics and machine learning. In this paper a novel fuzzy support vector machine (SVM credit scoring model is proposed for credit risk analysis, in which fuzzy membership is adopted to indicate different contribution of each input point to the learning of SVM classification hyperplane. Considering the methodological consistency, support vector data description (SVDD is introduced to construct the fuzzy membership function and to reduce the effect of outliers and noises. The SVDD-based fuzzy SVM model is tested against the traditional fuzzy SVM on two real-world datasets and the research results confirm the effectiveness of the presented method.

Surviving Blind Decomposition: A Distributional Analysis of the Time-Course of Complex Word Recognition

Science.gov (United States)

Schmidtke, Daniel; Matsuki, Kazunaga; Kuperman, Victor

2017-01-01

The current study addresses a discrepancy in the psycholinguistic literature about the chronology of information processing during the visual recognition of morphologically complex words. "Form-then-meaning" accounts of complex word recognition claim that morphemes are processed as units of form prior to any influence of their meanings,…

Predicting disease Risk by Transformation Models in the Presence of Unspecified Subgroup Membership.

Science.gov (United States)

Wang, Qianqian; Ma, Yanyuan; Wang, Yuanjia

2017-10-01

Some biomedical studies lead to mixture data. When a discrete covariate defining subgroup membership is missing for some of the subjects in a study, the distribution of the outcome follows a mixture distribution of the subgroup-specific distributions. Taking into account the uncertain distribution of the group membership and the covariates, we model the relation between the disease onset time and the covariates through transformation models in each sub-population, and develop a nonparametric maximum likelihood based estimation implemented through EM algorithm along with its inference procedure. We further propose methods to identify the covariates that have different effects or common effects in distinct populations, which enables parsimonious modeling and better understanding of the difference across populations. The methods are illustrated through extensive simulation studies and a real data example.

The Neuropsychology of Familiar Person Recognition from Face and Voice

Directory of Open Access Journals (Sweden)

Guido Gainotti

2014-05-01

Full Text Available Prosopagnosia has been considered for a long period of time as the most important and almost exclusive disorder in the recognition of familiar people. In recent years, however, this conviction has been undermined by the description of patients showing a concomitant defect in the recognition of familiar faces and voices as a consequence of lesions encroaching upon the right anterior temporal lobe (ATL. These new data have obliged researchers to reconsider on one hand the construct of ‘associative prosopagnosia’ and on the other hand current models of people recognition. A systematic review of the patterns of familiar people recognition disorders observed in patients with right and left ATL lesions has shown that in patients with right ATL lesions face familiarity feelings and the retrieval of person-specific semantic information from faces are selectively affected, whereas in patients with left ATL lesions the defect selectively concerns famous people naming. Furthermore, some patients with right ATL lesions and intact face familiarity feelings show a defect in the retrieval of person-specific semantic knowledge greater from face than from name. These data are at variance with current models assuming: (a that familiarity feelings are generated at the level of person identity nodes (PINs where information processed by various sensory modalities converge, and (b that PINs provide a modality-free gateway to a single semantic system, where information about people is stored in an amodal format. They suggest, on the contrary: (a that familiarity feelings are generated at the level of modality-specific recognition units; (b that face and voice recognition units are represented more in the right than in the left ATLs; (c that in the right ATL are mainly stored person-specific information based on a convergence of perceptual information, whereas in the left ATLs are represented verbally-mediated person-specific information.

Secession and EU Membership - Is an EU member state secessionist territory automatically within EU after archiving its independence or have to reapply for membership?

Directory of Open Access Journals (Sweden)

Spiro Paço

2015-07-01

To answer to this question I will analyses the possible past experiences in secessionist territory getting membership in international organization like UN. The Vienna Convention on Succession of States in Respect of Treaties is a good material to use in case of succession but the fact that is not in force and not signed by the greatest part of EU member state make it only advisory and not binding.

Applications of chaotic neurodynamics in pattern recognition

Science.gov (United States)

Baird, Bill; Freeman, Walter J.; Eeckman, Frank H.; Yao, Yong

1991-08-01

Network algorithms and architectures for pattern recognition derived from neural models of the olfactory system are reviewed. These span a range from highly abstract to physiologically detailed, and employ the kind of dynamical complexity observed in olfactory cortex, ranging from oscillation to chaos. A simple architecture and algorithm for analytically guaranteed associative memory storage of analog patterns, continuous sequences, and chaotic attractors in the same network is described. A matrix inversion determines network weights, given prototype patterns to be stored. There are N units of capacity in an N node network with 3N2 weights. It costs one unit per static attractor, two per Fourier component of each sequence, and three to four per chaotic attractor. There are no spurious attractors, and for sequences there is a Liapunov function in a special coordinate system which governs the approach of transient states to stored trajectories. Unsupervised or supervised incremental learning algorithms for pattern classification, such as competitive learning or bootstrap Widrow-Hoff can easily be implemented. The architecture can be ''folded'' into a recurrent network with higher order weights that can be used as a model of cortex that stores oscillatory and chaotic attractors by a Hebb rule. Network performance is demonstrated by application to the problem of real-time handwritten digit recognition. An effective system with on-line learning has been written by Eeckman and Baird for the Macintosh. It utilizes static, oscillatory, and/or chaotic attractors of two kinds--Lorenze attractors, or attractors resulting from chaotically interacting oscillatory modes. The successful application to an industrial pattern recognition problem of a network architecture of considerable physiological and dynamical complexity, developed by Freeman and Yao, is described. The data sets of the problem come in three classes of difficulty, and performance of the biological network is

Inequality and union membership: the influence of relative earnings and inequality attitudes

NARCIS (Netherlands)

Checchi, D.; Visser, J.; van de Werfhorst, H.G.

2010-01-01

Using surveys from the International Social Survey Programme covering the period 1985-2002 for seven European countries (West and East Germany, Sweden, Norway, Italy, the Netherlands and Great Britain), we examine the effect of relative earnings on union membership and show that union density is

Distinguishing familiarity from fluency for the compound word pair effect in associative recognition.

Science.gov (United States)

Ahmad, Fahad N; Hockley, William E

2017-09-01

We examined whether processing fluency contributes to associative recognition of unitized pre-experimental associations. In Experiments 1A and 1B, we minimized perceptual fluency by presenting each word of pairs on separate screens at both study and test, yet the compound word (CW) effect (i.e., hit and false-alarm rates greater for CW pairs with no difference in discrimination) did not reduce. In Experiments 2A and 2B, conceptual fluency was examined by comparing transparent (e.g., hand bag) and opaque (e.g., rag time) CW pairs in lexical decision and associative recognition tasks. Lexical decision was faster for transparent CWs (Experiment 2A) but in associative recognition, the CW effect did not differ by CW pair type (Experiment 2B). In Experiments 3A and 3B, we examined whether priming that increases processing fluency would influence the CW effect. In Experiment 3A, CW and non-compound word pairs were preceded with matched and mismatched primes at test in an associative recognition task. In Experiment 3B, only transparent and opaque CW pairs were presented. Results showed that presenting matched versus mismatched primes at test did not influence the CW effect. The CW effect in yes-no associative recognition is due to reliance on enhanced familiarity of unitized CW pairs.

Justice, fairness, and membership in a class: conceptual confusions and moral puzzles in the regulation of human subjects research.

Science.gov (United States)

Iltis, Ana S

2011-01-01

This essay examines conceptual difficulties with one of the ways in which justice has been understood and applied the ethical and regulatory review of human research. Justice requires the fair distribution of the benefits and burdens of research. Class membership is seen as justifying inclusion in higher hazard-no benefit research from which members of potentially vulnerable classes, such as children, typically would be excluded. I argue that class membership does not do the justificatory work it is thought to do and that the use of class membership to justify inclusion in higher hazard-no benefit research leads to unjustified discrimination of sick children and offers special protections to healthy children. © 2011 American Society of Law, Medicine & Ethics, Inc.

Fuzzy optimization of primal-dual pair using piecewise linear membership functions

Directory of Open Access Journals (Sweden)

Pandey D.

2012-01-01

Full Text Available Present paper improves the model of Bector and Chandra [Fuzzy Sets and Systems, 125 (2002 317-325] on duality in fuzzy linear programming by using non-linear membership functions. Numerical problem discussed by these authors has also been worked out through our non-linear model to demonstrate improved optimality of the results.

Set-membership estimations for the evolution of infectious diseases in heterogeneous populations.

Science.gov (United States)

Tsachev, Tsvetomir; Veliov, Vladimir M; Widder, Andreas

2017-04-01

The paper presents an approach for set-membership estimation of the state of a heterogeneous population in which an infectious disease is spreading. The population state may consist of susceptible, infected, recovered, etc. groups, where the individuals are heterogeneous with respect to traits, relevant to the particular disease. Set-membership estimations in this context are reasonable, since only vague information about the distribution of the population along the space of heterogeneity is available in practice. The presented approach comprises adapted versions of methods which are known in estimation and control theory, and involve solving parametrized families of optimization problems. Since the models of disease spreading in heterogeneous populations involve distributed systems (with non-local dynamics and endogenous boundary conditions), these problems are non-standard. The paper develops the needed theoretical instruments and a solution scheme. SI and SIR models of epidemic diseases are considered as case studies and the results reveal qualitative properties that may be of interest.

Measuring the influence of industry sector membership on supply chain disruption reporting.

Science.gov (United States)

Alcantara, Patrick

2015-01-01

The global Supply Chain Resilience Survey by the Business Continuity Institute and Zurich Insurance is a comprehensive study on the state of supply chains in different organisations worldwide. As a benchmarking tool, it also contains data about business continuity arrangements in place to ensure supply chain resilience. Given this study's historically qualitative approach to reporting, this paper aims to introduce quantitative analysis. In this paper, responses that report membership in Standard Industrial Classification 2007 industry sectors from the 2013 Supply Chain Resilience Survey were disaggregated and related to supply chain disruption reporting. A chi-square test of independence reveals that membership in a particular industry sector influences reporting of supply chain disruption. Nonetheless, the relationship between these variables is weak. This study demonstrates interesting differences between industry sectors in terms of supply chain resilience. Further research is required in terms of other variables in order to provide granularity and relevant findings to supply chain planners.

Ethnicity and Occupational Pension Membership in the UK

Science.gov (United States)

2015-01-01

Abstract Reflecting a relatively low‐value Basic State Pension, occupational pensions have historically been a key aspect of pension protection within Britain. Existing research shows that minority ethnic groups are less likely to benefit from such pensions and are more likely to face poverty in later life, as a result of the interaction of their labour market participation and pension membership patterns. However, the lack of adequate data on ethnic minorities has so far prevented the direct comparison of different ethnic groups, as well as their comparison to the White British group. Using data from the UK Household Longitudinal Study, this article explores patterns of employment and the odds ratios of membership in an employer's pension scheme among working‐age individuals from minority ethnic groups and the White British population, taking into account factors not used by previous research, such as one's migration history and sector of employment (public/private). The analysis provides new empirical evidence confirming that ethnicity remains a strong determinant of one's pension protection prospects through being in paid work, being an employee and working for an employer who offers a pension scheme. However, once an individual is working for an employer offering a pension scheme, the effect of ethnicity on that person's odds of being a member of that scheme reduces, except among Pakistani and Bangladeshi individuals for whom the differentials remain. The article also provides evidence on the pension protection of Polish individuals, a relatively ‘new’ minority group in the UK. PMID:27563161

Meta-Analysis of the First Facial Expression Recognition Challenge

NARCIS (Netherlands)

Valstar, M.F.; Mehu, M.; Jiang, Bihan; Pantic, Maja; Scherer, K.

Automatic facial expression recognition has been an active topic in computer science for over two decades, in particular facial action coding system action unit (AU) detection and classification of a number of discrete emotion states from facial expressive imagery. Standardization and comparability

Democracy predicts sport and recreation membership: Insights from 52 countries

OpenAIRE

Balish, Shea M.

2017-01-01

Although evidence suggests sport and recreation are powerful contributors to worldwide public health, sizable gender differences persist. It is unknown whether country characteristics moderate gender differences across countries. The primary purpose of this study was to examine if countries’ levels of democracy and/or gender inequality moderate gender differences in sport and recreation membership across countries. The secondary purpose was to examine if democracy and/or gender inequality pre...

A MIT-Based Nonlinear Adaptive Set-Membership Filter for the Ellipsoidal Estimation of Mobile Robots' States

Directory of Open Access Journals (Sweden)

Dalei Song

2012-10-01

Full Text Available The adaptive extended set-membership filter (AESMF for nonlinear ellipsoidal estimation suffers a mismatch between real process noise and its set boundaries, which may result in unstable estimation. In this paper, a MIT method-based adaptive set-membership filter, for the optimization of the set boundaries of process noise, is developed and applied to the nonlinear joint estimation of both time-varying states and parameters. As a result of using the proposed MIT-AESMF, the estimation effectiveness and boundary accuracy of traditional AESMF are substantially improved. Simulation results have shown the efficiency and robustness of the proposed method.

A qualitative study of the perceived value of membership in The Oley Foundation by home parenteral and enteral nutrition consumers.

Science.gov (United States)

Chopy, Katelyn; Winkler, Marion; Schwartz-Barcott, Donna; Melanson, Kathleen; Greene, Geoffrey

2015-05-01

Support and educational organizations have been shown to improve quality of life of consumers of home nutrition support. One such organization, The Oley Foundation, offers resources for the home parenteral and enteral nutrition (HPEN) consumer. While research has shown proven benefits to HPEN consumers affiliated with The Oley Foundation, no studies have investigated the perceived value of membership to the consumer or the way in which consumers are introduced to the organization. Qualitative methodology was used to gain a deeper understanding of the perceived value of membership in The Oley Foundation. Audiotaped, in-depth, semistructured telephone interviews were conducted to explore participants' experiences with The Oley Foundation and HPEN. Inductive content analysis was used to analyze data and identify themes associated with membership value. The value of The Oley Foundation lies in programs and resources and the competency, inspiration, normalcy, and advocacy gained from membership, helping individuals adjust to life with HPEN dependency. More than half of participants found the organization through self-initiated Internet searches, but all participants clearly expressed the desire "I wish I knew about it sooner." This study identifies the value of membership in The Oley Foundation and the important role the organization has in the lives of HPEN-dependent consumers. Nutrition support clinicians should introduce the organization to patients when the need for HPEN is established and prior to hospital discharge. © 2014 American Society for Parenteral and Enteral Nutrition.

Dual Recognition of Human Telomeric G-quadruplex by Neomycin-anthraquinone Conjugate

Science.gov (United States)

Ranjan, Nihar; Davis, Erik; Xue, Liang

2013-01-01

The authors report the recognition of a G-quadruplex formed by four repeat human telomeric DNA with aminosugar intercalator conjugates. The recognition of G-quadruplex through dual binding mode ligands significantly increased the affinity of ligands for G-quadruplex. One such example is a neomycin-anthraquinone 2 which exhibited nanomolar affinity for the quadruplex, and the affinity of 2 is nearly 1000 fold higher for human telomeric G-quadruplex DNA than its constituent units, neomycin and anthraquinone. PMID:23698792

Membership, binarity, and rotation of F-G-K stars in the open cluster Blanco 1

Science.gov (United States)

Mermilliod, J.-C.; Platais, I.; James, D. J.; Grenon, M.; Cargile, P. A.

2008-07-01

Context: The nearby open cluster Blanco 1 is of considerable astrophysical interest for formation and evolution studies of open clusters because it is the third highest Galactic latitude cluster known. It has been observed often, but so far no definitive and comprehensive membership determination is readily available. Aims: An observing programme was carried out to study the stellar population of Blanco 1, and especially the membership and binary frequency of the F5-K0 dwarfs. Methods: We obtained radial-velocities with the CORAVEL spectrograph in the field of Blanco 1 for a sample of 148 F-G-K candidate stars in the magnitude range 10 rate reaches 40% (27/68) if one includes the photometric binaries. The cluster mean heliocentric radial velocity is +5.53 ± 0.11 km s-1 based on the most reliable 49 members. The V sin i distribution is similar to that of the Pleiades, confirming the age similarities between the two clusters. Conclusions: This study clearly demonstrates that, in spite of the cluster's high Galactic latitude, three membership criteria - radial velocity, proper motion, and photometry - are necessary for performing a reliable membership selection. Furthermore, even with accurate and extensive data, ambiguous cases still remain. Based on observations collected with the Danish 1.54-m and the Swiss telescopes at the European Southern Observatory, La Silla, Chile, and with the old YALO 1-m telescope at the Cerro Tololo InterAmerican Observatory, Chile. Table [see full textsee full textsee full textsee full textsee full textsee full text] is also available in electronic form at the CDS via anonymous ftp to cdsarc.u-strasbg.fr (130.79.128.5) or via http://cdsweb.u-strasbg.fr/cgi-bin/qcat?J/A+A/485/95

Fraternity Membership and Sexual Aggression: An Examination of Mediators of the Association

Science.gov (United States)

Kingree, Jeffrey B.; Thompson, Martie P.

2013-01-01

Objective: This prospective study examined attitudes (ie, hostility toward women, acceptance of rape myths), peer influences (ie, peer pressure to have sex, peer approval of forced sex), and risky behaviors (ie, high-risk alcohol use, number of sexual partners) as possible mediators of the association between fraternity membership and sexual…

Optical character recognition of handwritten Arabic using hidden Markov models

Science.gov (United States)

Aulama, Mohannad M.; Natsheh, Asem M.; Abandah, Gheith A.; Olama, Mohammed M.

2011-04-01

The problem of optical character recognition (OCR) of handwritten Arabic has not received a satisfactory solution yet. In this paper, an Arabic OCR algorithm is developed based on Hidden Markov Models (HMMs) combined with the Viterbi algorithm, which results in an improved and more robust recognition of characters at the sub-word level. Integrating the HMMs represents another step of the overall OCR trends being currently researched in the literature. The proposed approach exploits the structure of characters in the Arabic language in addition to their extracted features to achieve improved recognition rates. Useful statistical information of the Arabic language is initially extracted and then used to estimate the probabilistic parameters of the mathematical HMM. A new custom implementation of the HMM is developed in this study, where the transition matrix is built based on the collected large corpus, and the emission matrix is built based on the results obtained via the extracted character features. The recognition process is triggered using the Viterbi algorithm which employs the most probable sequence of sub-words. The model was implemented to recognize the sub-word unit of Arabic text raising the recognition rate from being linked to the worst recognition rate for any character to the overall structure of the Arabic language. Numerical results show that there is a potentially large recognition improvement by using the proposed algorithms.

CEDAW in the Eyes of the United States

Directory of Open Access Journals (Sweden)

Al Shraideh Saleh

2017-12-01

Full Text Available Despite the large number of reservations registered by Member countries, making it one of the, if not the, most heavily reserved human rights treaties; the Convention on the Elimination of All Forms of Discrimination Against Women (CEDAW has managed to achieve a very high rate of states’ membership [1]. Currently, 187 countries out of the 193 United Nations Members are parties to CEDAW [2]. What is strange to digest, however, is the fact that the United States is one of the seven countries that are yet to ratify the Convention [3]. This article provides an insight into the position of the United States from the ratification of CEDAW. It examines the merits of arguments made for and against the ratification and their rationale to provide a better understanding that explains what is considered by many as a buzzling stand of the United States from the Convention.

The diffusion of Magnet hospital recognition.

Science.gov (United States)

Abraham, Jean; Jerome-D'Emilia, Bonnie; Begun, James W

2011-01-01

Magnet recognition is promoted by many in the practice community as the gold standard of nursing care quality. The Magnet hospital population has exploded in recent years, with about 8% of U.S. general hospitals now recognized. The purpose of this study was to identify the characteristics that distinguish Magnet-recognized hospitals from other hospitals within the framework of diffusion theory. We conceptualize Magnet recognition as an organizational innovation and Magnet-recognized hospitals as adopters of the innovation. We hypothesize that adoption is associated with selected characteristics of hospitals and their markets. The study population consists of the 3,657 general hospitals in the United States in 2008 located in metropolitan or micropolitan areas. We used logistic regression analysis to estimate the association of Magnet recognition with organizational and market characteristics. Empirical results support hypotheses that adoption is positively associated with hospital complexity and specialization, as measured by teaching affiliation, and with hospital size, slack resources, and not-for-profit or public ownership (vs. for-profit). Adopters also are more likely to be located in markets that are experiencing population growth and are more likely to have competitor hospitals within the market that also have adopted Magnet status. A positive association of adoption with baccalaureate nursing school supply is contrary to the hypothesized relationship. Because of its rapid recent growth, consideration of Magnet program recognition should be on the strategic planning agenda of hospitals and hospital systems. Hospital administrators, particularly in smaller, for-profit hospitals, may expect more of their larger not-for-profit competitors, particularly teaching hospitals, to adopt Magnet recognition, increasing competition for baccalaureate-prepared registered nurses in the labor market.

Integration trumps selection in object recognition.

Science.gov (United States)

Saarela, Toni P; Landy, Michael S

2015-03-30

Finding and recognizing objects is a fundamental task of vision. Objects can be defined by several "cues" (color, luminance, texture, etc.), and humans can integrate sensory cues to improve detection and recognition [1-3]. Cortical mechanisms fuse information from multiple cues [4], and shape-selective neural mechanisms can display cue invariance by responding to a given shape independent of the visual cue defining it [5-8]. Selective attention, in contrast, improves recognition by isolating a subset of the visual information [9]. Humans can select single features (red or vertical) within a perceptual dimension (color or orientation), giving faster and more accurate responses to items having the attended feature [10, 11]. Attention elevates neural responses and sharpens neural tuning to the attended feature, as shown by studies in psychophysics and modeling [11, 12], imaging [13-16], and single-cell and neural population recordings [17, 18]. Besides single features, attention can select whole objects [19-21]. Objects are among the suggested "units" of attention because attention to a single feature of an object causes the selection of all of its features [19-21]. Here, we pit integration against attentional selection in object recognition. We find, first, that humans can integrate information near optimally from several perceptual dimensions (color, texture, luminance) to improve recognition. They cannot, however, isolate a single dimension even when the other dimensions provide task-irrelevant, potentially conflicting information. For object recognition, it appears that there is mandatory integration of information from multiple dimensions of visual experience. The advantage afforded by this integration, however, comes at the expense of attentional selection. Copyright © 2015 Elsevier Ltd. All rights reserved.

Heterogeneous trade agreements, WTO membership and international trade : an analysis using matching econometrics

NARCIS (Netherlands)

Kohl, Tristan; Trojanowska, Sofia

2015-01-01

This article explores the heterogeneous effects of trade agreements (TAs) and World Trade Organization (WTO) membership on the volume of international trade. We extend Baier and Bergstrand’s (2009a) application of matching econometrics by distinguishing between different types of TAs and WTO

78 FR 66384 - Membership of the Merit Systems Protection Board's Performance Review Board

Science.gov (United States)

2013-11-05

... MERIT SYSTEMS PROTECTION BOARD Membership of the Merit Systems Protection Board's Performance Review Board AGENCY: Merit Systems Protection Board. ACTION: Notice. SUMMARY: Notice is hereby given of the members of the Merit Systems Protection Board's Performance Review Board. DATES: November 5, 2013...

Does humor in radio advertising affect recognition of novel product brand names?

Science.gov (United States)

Berg, E M; Lippman, L G

2001-04-01

The authors proposed that item selection during shopping is based on brand name recognition rather than recall. College students rated advertisements and news stories of a simulated radio program for level of amusement (orienting activity) before participating in a surprise recognition test. Humor level of the advertisements was varied systematically, and content was controlled. According to signal detection analysis, humor did not affect the strength of recognition memory for brand names (nonsense units). However, brand names and product types were significantly more likely to be associated when appearing in humorous advertisements than in nonhumorous advertisements. The results are compared with prior findings concerning humor and recall.

Sustaining the pivotal organizational outcome: magnet recognition.

Science.gov (United States)

Parsons, Mickey L; Cornett, Patricia A

2011-03-01

To identify the facilitators and barriers for health-care organizations to sustain Magnet Recognition, the exemplar of a professional practice environment and quality care. Recognition as a Magnet Hospital is the gold standard for acknowledging excellence in nursing. However, limited evidence exists to inform nursing management practices for sustainability. This qualitative study was conducted using a national convenience sample of 15 Chief Nursing Officers of Magnet Recognized hospitals in the USA. Key macrosystem facilitators included executive management and leadership themes about quality, people, education, and the nurse executive's commitment and intent. Barriers were executive management turnover and financial challenges. Infrastructure supports and resources for empowerment and quality and unit leadership practices were found to be essential for quality outcomes. The key theme at the microsystem level was moving nursing practice to managing outcomes from tasks; barriers were challenges with unit management turnover and development. Multiple factors at system levels were found to contribute to sustainability. Further research is needed on the concept of sustainability. The findings contribute to executives' armamentarium to inform management practice for the design of evidenced based organizational systems and programs for nursing excellence. © 2011 The Authors. Journal compilation © 2011 Blackwell Publishing Ltd.

Handling membership dynamicity in service composition for ubiquitous computing

DEFF Research Database (Denmark)

Brønsted, Jeppe Rørbæk; Hansen, Klaus Marius

2008-01-01

. A proposed solution is to use a service oriented architecture and implement applications as composite services. As long as the set of services that constitute the composite is static, traditional techniques can be used to specify the composite. In this paper we show how the PalCom service composition...... language can be extended to support service composites with dynamic membership and present a decentralized implementation. Preliminary user studies indicate that the extensions are easily understandable and simulations of application scenarios show that the performance of the implementation is appropriate...

Automatic Recognition of Chinese Personal Name Using Conditional Random Fields and Knowledge Base

Directory of Open Access Journals (Sweden)

Chuan Gu

2015-01-01

Full Text Available According to the features of Chinese personal name, we present an approach for Chinese personal name recognition based on conditional random fields (CRF and knowledge base in this paper. The method builds multiple features of CRF model by adopting Chinese character as processing unit, selects useful features based on selection algorithm of knowledge base and incremental feature template, and finally implements the automatic recognition of Chinese personal name from Chinese document. The experimental results on open real corpus demonstrated the effectiveness of our method and obtained high accuracy rate and high recall rate of recognition.

Optical Pattern Recognition

Science.gov (United States)

Yu, Francis T. S.; Jutamulia, Suganda

2008-10-01

Contributors; Preface; 1. Pattern recognition with optics Francis T. S. Yu and Don A. Gregory; 2. Hybrid neural networks for nonlinear pattern recognition Taiwei Lu; 3. Wavelets, optics, and pattern recognition Yao Li and Yunglong Sheng; 4. Applications of the fractional Fourier transform to optical pattern recognition David Mendlovic, Zeev Zalesky and Haldum M. Oxaktas; 5. Optical implementation of mathematical morphology Tien-Hsin Chao; 6. Nonlinear optical correlators with improved discrimination capability for object location and recognition Leonid P. Yaroslavsky; 7. Distortion-invariant quadratic filters Gregory Gheen; 8. Composite filter synthesis as applied to pattern recognition Shizhou Yin and Guowen Lu; 9. Iterative procedures in electro-optical pattern recognition Joseph Shamir; 10. Optoelectronic hybrid system for three-dimensional object pattern recognition Guoguang Mu, Mingzhe Lu and Ying Sun; 11. Applications of photrefractive devices in optical pattern recognition Ziangyang Yang; 12. Optical pattern recognition with microlasers Eung-Gi Paek; 13. Optical properties and applications of bacteriorhodopsin Q. Wang Song and Yu-He Zhang; 14. Liquid-crystal spatial light modulators Aris Tanone and Suganda Jutamulia; 15. Representations of fully complex functions on real-time spatial light modulators Robert W. Cohn and Laurence G. Hassbrook; Index.

Embedded Face Detection and Recognition

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Göksel Günlü

2012-10-01

Full Text Available The need to increase security in open or public spaces has in turn given rise to the requirement to monitor these spaces and analyse those images on-site and on-time. At this point, the use of smart cameras – of which the popularity has been increasing – is one step ahead. With sensors and Digital Signal Processors (DSPs, smart cameras generate ad hoc results by analysing the numeric images transmitted from the sensor by means of a variety of image-processing algorithms. Since the images are not transmitted to a distance processing unit but rather are processed inside the camera, it does not necessitate high-bandwidth networks or high processor powered systems; it can instantaneously decide on the required access. Nonetheless, on account of restricted memory, processing power and overall power, image processing algorithms need to be developed and optimized for embedded processors. Among these algorithms, one of the most important is for face detection and recognition. A number of face detection and recognition methods have been proposed recently and many of these methods have been tested on general-purpose processors. In smart cameras – which are real-life applications of such methods – the widest use is on DSPs. In the present study, the Viola-Jones face detection method – which was reported to run faster on PCs – was optimized for DSPs; the face recognition method was combined with the developed sub-region and mask-based DCT (Discrete Cosine Transform. As the employed DSP is a fixed-point processor, the processes were performed with integers insofar as it was possible. To enable face recognition, the image was divided into sub-regions and from each sub-region the robust coefficients against disruptive elements – like face expression, illumination, etc. – were selected as the features. The discrimination of the selected features was enhanced via LDA (Linear Discriminant Analysis and then employed for recognition. Thanks to its

Mapping of initiatives to increase membership in mutual health organizations in Benin

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Turcotte-Tremblay Anne-Marie

2012-12-01

Full Text Available Abstract Introduction Mutual health organizations (MHO have been implemented across Africa to increase access to healthcare and improve financial protection. Despite efforts to develop MHOs, low levels of both initial enrolment and membership renewals continue to threaten their financial viability. The purpose of this study was to map initiatives implemented to increase the pool of MHO members in Benin. Methods A multiple case study was conducted to assess MHOs supported by five major promoters in Benin. Three months of fieldwork resulted in 23 semi-structured interviews and two focus groups with MHO promoters, technicians, elected members, and health professionals affiliated with the MHOs. Fifteen non-structured interviews provided additional information and a valuable source of triangulation. Results MHOs have adopted a wide range of initiatives targeting different entry points and involving a variety of stakeholders. Initiatives have included new types of collective health insurance packages and efforts to raise awareness by going door-to-door and organizing health education workshops. Different types of partnerships have been established to strengthen relationships with healthcare professionals and political leaders. However, the selection and implementation of these initiatives have been limited by insufficient financial and human resources. Conclusions The study highlights the importance of prioritizing sustainable strategies to increase MHO membership. No single MHO initiative has been able to resolve the issue of low membership on its own. If combined, existing initiatives could provide a comprehensive and inclusive approach that would target all entry points and include key stakeholders such as household decision-makers, MHO elected members, healthcare professionals, community leaders, governmental authorities, medical advisors, and promoters. There is a need to evaluate empirically the implementation of these interventions. Mechanisms

A new selective developmental deficit: Impaired object recognition with normal face recognition.

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Germine, Laura; Cashdollar, Nathan; Düzel, Emrah; Duchaine, Bradley

2011-05-01

Studies of developmental deficits in face recognition, or developmental prosopagnosia, have shown that individuals who have not suffered brain damage can show face recognition impairments coupled with normal object recognition (Duchaine and Nakayama, 2005; Duchaine et al., 2006; Nunn et al., 2001). However, no developmental cases with the opposite dissociation - normal face recognition with impaired object recognition - have been reported. The existence of a case of non-face developmental visual agnosia would indicate that the development of normal face recognition mechanisms does not rely on the development of normal object recognition mechanisms. To see whether a developmental variant of non-face visual object agnosia exists, we conducted a series of web-based object and face recognition tests to screen for individuals showing object recognition memory impairments but not face recognition impairments. Through this screening process, we identified AW, an otherwise normal 19-year-old female, who was then tested in the lab on face and object recognition tests. AW's performance was impaired in within-class visual recognition memory across six different visual categories (guns, horses, scenes, tools, doors, and cars). In contrast, she scored normally on seven tests of face recognition, tests of memory for two other object categories (houses and glasses), and tests of recall memory for visual shapes. Testing confirmed that her impairment was not related to a general deficit in lower-level perception, object perception, basic-level recognition, or memory. AW's results provide the first neuropsychological evidence that recognition memory for non-face visual object categories can be selectively impaired in individuals without brain damage or other memory impairment. These results indicate that the development of recognition memory for faces does not depend on intact object recognition memory and provide further evidence for category-specific dissociations in visual

Are Differences Between Men and Women in Rotated Pattern Recognition Due to the Use of Different Cognitive Strategies?

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Catherine Brandner

2013-08-01

Full Text Available A recursive hypothesis suggests that gender differences in spatial abilities, including mental rotation tasks, are the result of differences in the strategies that men and women use to process information. To address this issue, we systematically explored men and women’s performance for rotated patterns by assessing recognition, confidence rating and response time, thought to be fundamental to spatial processing, with classical methods, and with signal detection theory (SDT parameters (d-prime and c-bias. Among our findings, we highlight d-prime as the most robust parameter to assess gender differences and predict group membership. Furthermore, we conclude that better performance by men is due to their strategy of transforming a mental rotation task into a simpler task comparing the alignment of test stimuli to the surrounding experimental environment.

The impact of alcohol management practices on sports club membership and revenue.

Science.gov (United States)

Wolfenden, L; Kingsland, M; Rowland, B; Dodds, P; Sidey, M; Sherker, S; Wiggers, J

2016-04-13

Issue addressed: The aim of this study was to assess the impact of an alcohol management intervention on community sporting club revenue (total annual income) and membership (number of club players, teams and spectators). Methods: The study employed a cluster randomised controlled trial design that allocated clubs either an alcohol accreditation intervention or a control condition. Club representatives completed a scripted telephone survey at baseline and again ~3 years following. Demographic information about clubs was collected along with information about club income. Results: Number of players and senior teams were not significantly different between treatment groups following the intervention. The intervention group, however, showed a significantly higher mean number of spectators. Estimates of annual club income between groups at follow-up showed no significant difference in revenue. Conclusions: This study found no evidence to suggest that efforts to reduce alcohol-related harm in community sporting clubs will compromise club revenue and membership. So what?: These findings suggest that implementation of an intervention to improve alcohol management of sporting clubs may not have the unintended consequence of harming club viability.

Young Children’s Motor Interference is Influenced by Novel Group Membership

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Johanna Elizabeth van Schaik

2016-03-01

Full Text Available From early childhood onwards, individuals use behavior copying to communicate liking and belonging. This nonverbal signal of affiliation is especially relevant in the context of social groups and indeed both children and adults copy in-group more than out-group members. Given the societal importance of inter-group interactions, it is imperative to understand the mechanistic level at which group modulations of copying occur early in development. The current study was designed to investigate the effect of novel group membership on young children’s motor behavior during a simultaneous movement-observation and -execution task. Four- to six-year-olds (n = 65 first gained membership to one of two novel groups based on their color preference and put on a vest in their chosen color. Subsequently, they were instructed to draw a straight line back-and-forth on a tablet computer that was concurrently displaying a stimulus video in which a model moved her arm congruently or incongruently to the child’s instructed direction. In half of the stimulus videos the model belonged to the in-group, while in the other half the model belonged to the out-group, as identified by the color of her dress. The deviations into the uninstructed direction of the children’s drawings were quantified as a measure of how much observing the models’ behaviors interfered with executing their own behaviors. The motor interference effect, namely higher deviations in the incongruent trials than in the congruent trials, was found only for the out-group condition. An additional manipulation of whether the models’ arms followed a biological or non-biological velocity profile had little effect on children’s motor interference. The results are interpreted in the context of the explicit coordinative nature of the task as an effect of heightened attention towards interacting with an out-group member. This study demonstrates that already during early childhood, novel group

Voluntary Association Membership and Social Cleavages: A Micro-Macro Link in Generalized Trust

Science.gov (United States)

Park, Chan-ung; Subramanian, S. V.

2012-01-01

Generalized trust varies across individuals and countries. Past studies on trust have demonstrated that voluntary association membership, inequality and ethnic homogeneity at country level are important. However, those studies examined either individual-level or country-level factors separately. In this paper, we conceptualized the emergence of…

76 FR 7807 - National Wildlife Services Advisory Committee; Notice of Solicitation for Membership

Science.gov (United States)

2011-02-11

... DEPARTMENT OF AGRICULTURE Animal and Plant Health Inspection Service [Docket No. APHIS-2010-0060... Plant Health Inspection Service, USDA. ACTION: Notice of solicitation for membership. SUMMARY: We are... minorities, women, and persons with disabilities. Done in Washington, DC this 7th day of February 2011. Kevin...

Fragmented patterns of flood change across the United States

Science.gov (United States)

Archfield, Stacey A.; Hirsch, Robert M.; Viglione, A.; Blöschl, G.

2016-01-01

Trends in the peak magnitude, frequency, duration, and volume of frequent floods (floods occurring at an average of two events per year relative to a base period) across the United States show large changes; however, few trends are found to be statistically significant. The multidimensional behavior of flood change across the United States can be described by four distinct groups, with streamgages experiencing (1) minimal change, (2) increasing frequency, (3) decreasing frequency, or (4) increases in all flood properties. Yet group membership shows only weak geographic cohesion. Lack of geographic cohesion is further demonstrated by weak correlations between the temporal patterns of flood change and large-scale climate indices. These findings reveal a complex, fragmented pattern of flood change that, therefore, clouds the ability to make meaningful generalizations about flood change across the United States.

Comparison of crisp and fuzzy character networks in handwritten word recognition

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Gader, Paul; Mohamed, Magdi; Chiang, Jung-Hsien

1992-01-01

Experiments involving handwritten word recognition on words taken from images of handwritten address blocks from the United States Postal Service mailstream are described. The word recognition algorithm relies on the use of neural networks at the character level. The neural networks are trained using crisp and fuzzy desired outputs. The fuzzy outputs were defined using a fuzzy k-nearest neighbor algorithm. The crisp networks slightly outperformed the fuzzy networks at the character level but the fuzzy networks outperformed the crisp networks at the word level.

Bounded mirroring: joint action and group membership in political theory and cognitive neuroscience

NARCIS (Netherlands)

Keestra, M.; Vander Valk, F.

2012-01-01

A crucial socio-political challenge for our age is how to redefine or extend group membership in such a way that it adequately responds to phenomena related to globalization like the prevalence of migration, the transformation of family and social networks, and changes in the position of the nation

Exploring Cultural Differences in the Recognition of the Self-Conscious Emotions.

Directory of Open Access Journals (Sweden)

Joanne M Chung

Full Text Available Recent research suggests that the self-conscious emotions of embarrassment, shame, and pride have distinct, nonverbal expressions that can be recognized in the United States at above-chance levels. However, few studies have examined the recognition of these emotions in other cultures, and little research has been conducted in Asia. Consequently the cross-cultural generalizability of self-conscious emotions has not been firmly established. Additionally, there is no research that examines cultural variability in the recognition of the self-conscious emotions. Cultural values and exposure to Western culture have been identified as contributors to variability in recognition rates for the basic emotions; we sought to examine this for the self-conscious emotions using the University of California, Davis Set of Emotion Expressions (UCDSEE. The present research examined recognition of the self-conscious emotion expressions in South Korean college students and found that recognition rates were very high for pride, low but above chance for shame, and near zero for embarrassment. To examine what might be underlying the recognition rates we found in South Korea, recognition of self-conscious emotions and several cultural values were examined in a U.S. college student sample of European Americans, Asian Americans, and Asian-born individuals. Emotion recognition rates were generally similar between the European Americans and Asian Americans, and higher than emotion recognition rates for Asian-born individuals. These differences were not explained by cultural values in an interpretable manner, suggesting that exposure to Western culture is a more important mediator than values.

Exploring Cultural Differences in the Recognition of the Self-Conscious Emotions.

Science.gov (United States)

Chung, Joanne M; Robins, Richard W

2015-01-01

Recent research suggests that the self-conscious emotions of embarrassment, shame, and pride have distinct, nonverbal expressions that can be recognized in the United States at above-chance levels. However, few studies have examined the recognition of these emotions in other cultures, and little research has been conducted in Asia. Consequently the cross-cultural generalizability of self-conscious emotions has not been firmly established. Additionally, there is no research that examines cultural variability in the recognition of the self-conscious emotions. Cultural values and exposure to Western culture have been identified as contributors to variability in recognition rates for the basic emotions; we sought to examine this for the self-conscious emotions using the University of California, Davis Set of Emotion Expressions (UCDSEE). The present research examined recognition of the self-conscious emotion expressions in South Korean college students and found that recognition rates were very high for pride, low but above chance for shame, and near zero for embarrassment. To examine what might be underlying the recognition rates we found in South Korea, recognition of self-conscious emotions and several cultural values were examined in a U.S. college student sample of European Americans, Asian Americans, and Asian-born individuals. Emotion recognition rates were generally similar between the European Americans and Asian Americans, and higher than emotion recognition rates for Asian-born individuals. These differences were not explained by cultural values in an interpretable manner, suggesting that exposure to Western culture is a more important mediator than values.

Exploring Cultural Differences in the Recognition of the Self-Conscious Emotions

Science.gov (United States)

Chung, Joanne M.; Robins, Richard W.

2015-01-01

Recent research suggests that the self-conscious emotions of embarrassment, shame, and pride have distinct, nonverbal expressions that can be recognized in the United States at above-chance levels. However, few studies have examined the recognition of these emotions in other cultures, and little research has been conducted in Asia. Consequently the cross-cultural generalizability of self-conscious emotions has not been firmly established. Additionally, there is no research that examines cultural variability in the recognition of the self-conscious emotions. Cultural values and exposure to Western culture have been identified as contributors to variability in recognition rates for the basic emotions; we sought to examine this for the self-conscious emotions using the University of California, Davis Set of Emotion Expressions (UCDSEE). The present research examined recognition of the self-conscious emotion expressions in South Korean college students and found that recognition rates were very high for pride, low but above chance for shame, and near zero for embarrassment. To examine what might be underlying the recognition rates we found in South Korea, recognition of self-conscious emotions and several cultural values were examined in a U.S. college student sample of European Americans, Asian Americans, and Asian-born individuals. Emotion recognition rates were generally similar between the European Americans and Asian Americans, and higher than emotion recognition rates for Asian-born individuals. These differences were not explained by cultural values in an interpretable manner, suggesting that exposure to Western culture is a more important mediator than values. PMID:26309215

77 FR 7133 - Advisory Committee on Supply Chain Competitiveness Solicitation of Nominations for Membership

Science.gov (United States)

2012-02-10

... Competitiveness Solicitation of Nominations for Membership AGENCY: International Trade Administration, U.S... Competitiveness. SUMMARY: The Department of Commerce is currently seeking applications for public or semi-public... Competitiveness (Committee). Representatives of ports are particularly encouraged to apply. The purpose of the...

Time Perspective and School Membership as Correlates to Academic Achievement among African American Adolescents

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Adelabu, Detris Honora

2007-01-01

This study examined the relationship of academic achievement to time perspective (future, present) and school membership (belonging, acceptance, rejection) among 232 low-income, urban African American adolescents. Findings indicated positive, significant relationships among academic achievement, future time perspective, school belonging, and…

Associations between school violence, military connection, and gang membership in California secondary schools.

Science.gov (United States)

Estrada, Joey Nuñez; Gilreath, Tamika D; Sanchez, Cathia Y; Astor, Ron Avi

2017-01-01

Recent studies have found that military-connected students confront many challenges-such as secondary traumatization-that may stem from a parent's deployment and frequent relocations. It is possible that multiple moves and deployments of family service members are associated with military-connected students' gang membership and involvement with school violence behaviors. In this study, a total of 13,484 students completed the core and military modules of the California Healthy Kids Survey. Logistic regressions examined the odds of a student being a member of a gang given their grade, gender, race/ethnicity, school violence behaviors, military-connectedness, changes in schools, and familial deployments. Results indicated that of the nearly 8% of students sampled who reported being in a gang, those with a parent or sibling currently serving in the military reported a higher prevalence rate of gang membership than students with no military connection. Students who reported being in fights or carrying weapons to school were at least twice more likely to be a gang member than students who reported not having been in fights or carrying weapons. Changing schools 4 or more times in a 5-year period and experiencing at least 1 familial deployment were also associated with an increased likelihood of gang membership. The findings of this study offer incentive to further explicate the gang and school violence experiences of military-connected students. This study supports schools in understanding the characteristics of the military-connected students and families they serve so they can implement appropriate interventions to curb gang and school violence behaviors. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Speech Recognition

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Adrian Morariu

2009-01-01

Full Text Available This paper presents a method of speech recognition by pattern recognition techniques. Learning consists in determining the unique characteristics of a word (cepstral coefficients by eliminating those characteristics that are different from one word to another. For learning and recognition, the system will build a dictionary of words by determining the characteristics of each word to be used in the recognition. Determining the characteristics of an audio signal consists in the following steps: noise removal, sampling it, applying Hamming window, switching to frequency domain through Fourier transform, calculating the magnitude spectrum, filtering data, determining cepstral coefficients.

An empirical study on the effect of WTO membership on Iranian Handicraft industry: A case study of Persian carpet

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Zahra Shirzour Aliabadi

2013-05-01

Full Text Available The world Trade Organization (WTO is one of the few organizations, which could significantly influence on foreign trade and consequently on the economic structure of the countries. There are literally different people in Iran who either encourage or discourage WTO membership. Therefore, it is important to analyze Iran’s WTO membership to empower Iranian handmade carpet in international trades and to help improvement in quality of production. The purpose of this research is to study the effects of Iran’s membership in WTO to empower this industry by performing an empirical survey among 100 experts in this industry. Findings demonstrate that access to WTO plays an important role on increasing production of handmade carpet and developing this industry. In addition, the industry needs to incorporate the recent advances on technology to ensure cost efficient production materials. The industry also needs more creative and innovative ideas due to an increase competition in handmade carpet producers from other countries.

International Institutions and Domestic Reform: Equal Pay and British Membership in the European Economic Community.

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Frader, Laura Levine

2018-03-01

Despite having been overlooked in the standard histories of the UK and the European Community, gender politics and gender policies played a significant role in Britain's applications for membership in the EEC in the 1960s. Joining the European Community required that Britain comply with Article 119 on equal pay for equal work. A combination of domestic feminist and labour movement activism, the commitment of unions and parties, and the internationalization of formal commitments to women's rights constituted internal and external pressures for the passage of an Equal Pay Act in 1970. The article argues that the formal legislative commitment to gender pay equality, changing public attitudes towards women's employment, and European membership impacted further domestic social policy reform and slowly began to shift government attitudes towards gender equality.

A Quasi-Experimental Analysis of Fraternity or Sorority Membership and College Student Success

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Bowman, Nicholas A.; Holmes, Joshua M.

2017-01-01

Despite considerable debate about the effects of fraternities and sororities on college campuses, the extent to which these organizations promote or detract from student success is unclear. Therefore, we used propensity score analyses to examine the link between membership in a social fraternity or sorority and several student success outcomes.…

Activity Recognition Invariant to Sensor Orientation with Wearable Motion Sensors.

Science.gov (United States)

Yurtman, Aras; Barshan, Billur

2017-08-09

Most activity recognition studies that employ wearable sensors assume that the sensors are attached at pre-determined positions and orientations that do not change over time. Since this is not the case in practice, it is of interest to develop wearable systems that operate invariantly to sensor position and orientation. We focus on invariance to sensor orientation and develop two alternative transformations to remove the effect of absolute sensor orientation from the raw sensor data. We test the proposed methodology in activity recognition with four state-of-the-art classifiers using five publicly available datasets containing various types of human activities acquired by different sensor configurations. While the ordinary activity recognition system cannot handle incorrectly oriented sensors, the proposed transformations allow the sensors to be worn at any orientation at a given position on the body, and achieve nearly the same activity recognition performance as the ordinary system for which the sensor units are not rotatable. The proposed techniques can be applied to existing wearable systems without much effort, by simply transforming the time-domain sensor data at the pre-processing stage.

76 FR 27311 - Cobb Customer Requesters v. Cobb Electric Membership Corporation, Cobb Energy Management...

Science.gov (United States)

2011-05-11

... DEPARTMENT OF ENERGY Federal Energy Regulatory Commission [Docket No. EL11-38-000] Cobb Customer Requesters v. Cobb Electric Membership Corporation, Cobb Energy Management Corporation, Cooperative Energy... April 26, 2011, Cobb Customer Requesters (CCR or Complainant) filed a complaint against Cobb Electric...

An Approach to Object Recognition: Aligning Pictorial Descriptions.

Science.gov (United States)

1986-12-01

PERFORMING 0RGANIZATION NAMIE ANDORS IS551. PROGRAM ELEMENT. PROJECT. TASK Artificial Inteligence Laboratory AREKA A WORK UNIT NUMBERS ( 545 Technology... ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 931 December, 1986 AN APPROACH TO OBJECT RECOGNITION: ALIGNING PICTORIAL DESCRIPTIONS Shimon Ullman...within the Artificial Intelligence Laboratory at the Massachusetts Institute of Technology. Support for the A.I. Laboratory’s artificial intelligence

Recognition and Toleration

DEFF Research Database (Denmark)

Lægaard, Sune

2010-01-01

Recognition and toleration are ways of relating to the diversity characteristic of multicultural societies. The article concerns the possible meanings of toleration and recognition, and the conflict that is often claimed to exist between these two approaches to diversity. Different forms...... or interpretations of recognition and toleration are considered, confusing and problematic uses of the terms are noted, and the compatibility of toleration and recognition is discussed. The article argues that there is a range of legitimate and importantly different conceptions of both toleration and recognition...

The Influence of Membership Groups on Selecting Accommodations: the Case of the Residential Tourist

Directory of Open Access Journals (Sweden)

Javier Perez-Aranda

2017-06-01

Full Text Available An understanding of consumer behavior when choosing property as accommodations improves the use of limited resources such as land and may promote the suitable development of tourism destinations. Knowledge of the factors that influence consumer behavior and that condition the process of purchasing a residential tourism property is useful in managing and designing strategies for segmenting tourism destinations. This study analyzes the influence of membership groups such as social class, culture, and family on choosing the type of property (ownership versus renting or using family or friends’ property and the typology (single- or multifamily that is in demand among residential tourists in the destination. Firstly, we identify which membership groups specifically influence the selection of type of property (social class and family. Then, we identify which groups influence the property typology (social class and people who are traveling and, in addition, those that influence both choices (social class.

Modeling Temporal Behavior in Large Networks: A Dynamic Mixed-Membership Model

Energy Technology Data Exchange (ETDEWEB)

Rossi, R; Gallagher, B; Neville, J; Henderson, K

2011-11-11

Given a large time-evolving network, how can we model and characterize the temporal behaviors of individual nodes (and network states)? How can we model the behavioral transition patterns of nodes? We propose a temporal behavior model that captures the 'roles' of nodes in the graph and how they evolve over time. The proposed dynamic behavioral mixed-membership model (DBMM) is scalable, fully automatic (no user-defined parameters), non-parametric/data-driven (no specific functional form or parameterization), interpretable (identifies explainable patterns), and flexible (applicable to dynamic and streaming networks). Moreover, the interpretable behavioral roles are generalizable, computationally efficient, and natively supports attributes. We applied our model for (a) identifying patterns and trends of nodes and network states based on the temporal behavior, (b) predicting future structural changes, and (c) detecting unusual temporal behavior transitions. We use eight large real-world datasets from different time-evolving settings (dynamic and streaming). In particular, we model the evolving mixed-memberships and the corresponding behavioral transitions of Twitter, Facebook, IP-Traces, Email (University), Internet AS, Enron, Reality, and IMDB. The experiments demonstrate the scalability, flexibility, and effectiveness of our model for identifying interesting patterns, detecting unusual structural transitions, and predicting the future structural changes of the network and individual nodes.

THE INFLUENCE OF SYLLABIFICATION RULES IN L1 ON L2 WORD RECOGNITION.

Science.gov (United States)

Choi, Wonil; Nam, Kichun; Lee, Yoonhyoung

2015-10-01

Experiments with Korean learners of English and English monolinguals were conducted to examine whether knowledge of syllabification in the native language (Korean) affects the recognition of printed words in the non-native language (English). Another purpose of this study was to test whether syllables are the processing unit in Korean visual word recognition. In Experiment 1, 26 native Korean speakers and 19 native English speakers participated. In Experiment 2, 40 native Korean speakers participated. In two experiments, syllable length was manipulated based on the Korean syllabification rule and the participants performed a lexical decision task. Analyses of variance were performed for the lexical decision latencies and error rates in two experiments. The results from Korean learners of English showed that two-syllable words based on the Korean syllabification rule were recognized faster as words than various types of three-syllable words, suggesting that Korean learners of English exploited their L1 phonological knowledge in recognizing English words. The results of the current study also support the idea that syllables are a processing unit of Korean visual word recognition.

Speech recognition systems on the Cell Broadband Engine

Energy Technology Data Exchange (ETDEWEB)

Liu, Y; Jones, H; Vaidya, S; Perrone, M; Tydlitat, B; Nanda, A

2007-04-20

In this paper we describe our design, implementation, and first results of a prototype connected-phoneme-based speech recognition system on the Cell Broadband Engine{trademark} (Cell/B.E.). Automatic speech recognition decodes speech samples into plain text (other representations are possible) and must process samples at real-time rates. Fortunately, the computational tasks involved in this pipeline are highly data-parallel and can receive significant hardware acceleration from vector-streaming architectures such as the Cell/B.E. Identifying and exploiting these parallelism opportunities is challenging, but also critical to improving system performance. We observed, from our initial performance timings, that a single Cell/B.E. processor can recognize speech from thousands of simultaneous voice channels in real time--a channel density that is orders-of-magnitude greater than the capacity of existing software speech recognizers based on CPUs (central processing units). This result emphasizes the potential for Cell/B.E.-based speech recognition and will likely lead to the future development of production speech systems using Cell/B.E. clusters.

ERP correlates of source memory: unitized source information increases familiarity-based retrieval.

Science.gov (United States)

Diana, Rachel A; Van den Boom, Wijnand; Yonelinas, Andrew P; Ranganath, Charan

2011-01-07

Source memory tests typically require subjects to make decisions about the context in which an item was encoded and are thought to depend on recollection of details from the study episode. Although it is generally believed that familiarity does not contribute to source memory, recent behavioral studies have suggested that familiarity may also support source recognition when item and source information are integrated, or "unitized," during study (Diana, Yonelinas, and Ranganath, 2008). However, an alternative explanation of these behavioral findings is that unitization affects the manner in which recollection contributes to performance, rather than increasing familiarity-based source memory. To discriminate between these possibilities, we conducted an event-related potential (ERP) study testing the hypothesis that unitization increases the contribution of familiarity to source recognition. Participants studied associations between words and background colors using tasks that either encouraged or discouraged unitization. ERPs were recorded during a source memory test for background color. The results revealed two distinct neural correlates of source recognition: a frontally distributed positivity that was associated with familiarity-based source memory in the high-unitization condition only and a parietally distributed positivity that was associated with recollection-based source memory in both the high- and low-unitization conditions. The ERP and behavioral findings provide converging evidence for the idea that familiarity can contribute to source recognition, particularly when source information is encoded as an item detail. Copyright © 2010 Elsevier B.V. All rights reserved.

Smoking and Membership in a Fraternity or Sorority: A Systematic Review of the Literature

Science.gov (United States)

Cheney, Marshall K.; Harris, LaNita W.; Gowin, Mary J.; Huber, Jamie

2014-01-01

Objective: Fraternity and sorority members have higher rates of smoking than other college students. This systematic review examines studies that included fraternity/sorority membership in their investigation of smoking behaviors. Participants/Methods: Studies identified in MEDLINE, PsychInfo, JSTOR, CINAHL, ERIC, and Google Scholar published…

Improving organizational climate for quality and quality of care: does membership in a collaborative help?

Science.gov (United States)

Nembhard, Ingrid M; Northrup, Veronika; Shaller, Dale; Cleary, Paul D

2012-11-01

The lack of quality-oriented organizational climates is partly responsible for deficiencies in patient-centered care and poor quality more broadly. To improve their quality-oriented climates, several organizations have joined quality improvement collaboratives. The effectiveness of this approach is unknown. To evaluate the impact of collaborative membership on organizational climate for quality and service quality. Twenty-one clinics, 4 of which participated in a collaborative sponsored by the Institute for Clinical Systems Improvement. Pre-post design. Preassessments occurred 2 months before the collaborative began in January 2009. Postassessments of service quality and climate occurred about 6 months and 1 year, respectively, after the collaborative ended in January 2010. We surveyed clinic employees (eg, physicians, nurses, receptionists, etc.) about the organizational climate and patients about service quality. Prioritization of quality care, high-quality staff relationships, and open communication as indicators of quality-oriented climate and timeliness of care, staff helpfulness, doctor-patient communication, rating of doctor, and willingness to recommend doctor's office as indicators of service quality. There was no significant effect of collaborative membership on quality-oriented climate and mixed effects on service quality. Doctors' ratings improved significantly more in intervention clinics than in control clinics, staff helpfulness improved less, and timeliness of care declined more. Ratings of doctor-patient communication and willingness to recommend doctor were not significantly different between intervention and comparison clinics. Membership in the collaborative provided no significant advantage for improving quality-oriented climate and had equivocal effects on service quality.

The Multi-Criteria Negotiation Analysis Based on the Membership Function

Directory of Open Access Journals (Sweden)

Roszkowska Ewa

2014-08-01

Full Text Available In this paper we propose a multi-criteria model based on the fuzzy preferences approach which can be implemented in the prenegotiation phase to evaluate the negotiations packages. The applicability of some multi-criteria ranking methods were discussed for building a scoring function for negotiation packages. The first one is Simple Additive Weighting (SAW technique which determines the sum of the partial satisfactions from each negotiation issue and aggregate them using the issue weights. The other one is Distance Based Methods (DBM, with its extension based on the distances to ideal or anti-ideal package, i.e. the TOPSIS procedure. In our approach the negotiator's preferences over the issues are represented by fuzzy membership functions and next a selected multi-criteria decision making method is adopted to determine the global rating of each package. The membership functions are used here as the equivalents of utility functions spread over the negotiation issues, which let us compare different type of data. One of the key advantages of the approach proposed is its usefulness for building a general scoring function in the ill-structured negotiation problem, namely the situation in which the problem itself as well as the negotiators preferences cannot be precisely defined, the available information is uncertain, subjective and vague. Secondly, all proposed variants of scoring functions produce consistent rankings, even though the new packages are added (or removed and do not result in rank reversal.

Re-thinking employee recognition: understanding employee experiences of recognition

OpenAIRE

Smith, Charlotte

2013-01-01

Despite widespread acceptance of the importance of employee recognition for both individuals and organisations and evidence of its increasing use in organisations, employee recognition has received relatively little focused attention from academic researchers. Particularly lacking is research exploring the lived experience of employee recognition and the interpretations and meanings which individuals give to these experiences. Drawing on qualitative interviews conducted as part of my PhD rese...

LMI-based stability analysis of fuzzy-model-based control systems using approximated polynomial membership functions.

Science.gov (United States)

Narimani, Mohammand; Lam, H K; Dilmaghani, R; Wolfe, Charles

2011-06-01

Relaxed linear-matrix-inequality-based stability conditions for fuzzy-model-based control systems with imperfect premise matching are proposed. First, the derivative of the Lyapunov function, containing the product terms of the fuzzy model and fuzzy controller membership functions, is derived. Then, in the partitioned operating domain of the membership functions, the relations between the state variables and the mentioned product terms are represented by approximated polynomials in each subregion. Next, the stability conditions containing the information of all subsystems and the approximated polynomials are derived. In addition, the concept of the S-procedure is utilized to release the conservativeness caused by considering the whole operating region for approximated polynomials. It is shown that the well-known stability conditions can be special cases of the proposed stability conditions. Simulation examples are given to illustrate the validity of the proposed approach.

Speech recognition: impact on workflow and report availability

International Nuclear Information System (INIS)

Glaser, C.; Trumm, C.; Nissen-Meyer, S.; Francke, M.; Kuettner, B.; Reiser, M.

2005-01-01

With ongoing technical refinements speech recognition systems (SRS) are becoming an increasingly attractive alternative to traditional methods of preparing and transcribing medical reports. The two main components of any SRS are the acoustic model and the language model. Features of modern SRS with continuous speech recognition are macros with individually definable texts and report templates as well as the option to navigate in a text or to control SRS or RIS functions by speech recognition. The best benefit from SRS can be obtained if it is integrated into a RIS/RIS-PACS installation. Report availability and time efficiency of the reporting process (related to recognition rate, time expenditure for editing and correcting a report) are the principal determinants of the clinical performance of any SRS. For practical purposes the recognition rate is estimated by the error rate (unit ''word''). Error rates range from 4 to 28%. Roughly 20% of them are errors in the vocabulary which may result in clinically relevant misinterpretation. It is thus mandatory to thoroughly correct any transcribed text as well as to continuously train and adapt the SRS vocabulary. The implementation of SRS dramatically improves report availability. This is most pronounced for CT and CR. However, the individual time expenditure for (SRS-based) reporting increased by 20-25% (CR) and according to literature data there is an increase by 30% for CT and MRI. The extent to which the transcription staff profits from SRS depends largely on its qualification. Online dictation implies a workload shift from the transcription staff to the reporting radiologist. (orig.) [de

77 FR 10725 - Establishment of the Consumer Advisory Board and Solicitation of Nominations for Membership

Science.gov (United States)

2012-02-23

... the Bureau's functions under the Federal consumer financial protection laws, and which will provide... BUREAU OF CONSUMER FINANCIAL PROTECTION Establishment of the Consumer Advisory Board and Solicitation of Nominations for Membership AGENCY: Bureau of Consumer Financial Protection. ACTION: Notice...

Use of the recognition heuristic depends on the domain's recognition validity, not on the recognition validity of selected sets of objects.

Science.gov (United States)

Pohl, Rüdiger F; Michalkiewicz, Martha; Erdfelder, Edgar; Hilbig, Benjamin E

2017-07-01

According to the recognition-heuristic theory, decision makers solve paired comparisons in which one object is recognized and the other not by recognition alone, inferring that recognized objects have higher criterion values than unrecognized ones. However, success-and thus usefulness-of this heuristic depends on the validity of recognition as a cue, and adaptive decision making, in turn, requires that decision makers are sensitive to it. To this end, decision makers could base their evaluation of the recognition validity either on the selected set of objects (the set's recognition validity), or on the underlying domain from which the objects were drawn (the domain's recognition validity). In two experiments, we manipulated the recognition validity both in the selected set of objects and between domains from which the sets were drawn. The results clearly show that use of the recognition heuristic depends on the domain's recognition validity, not on the set's recognition validity. In other words, participants treat all sets as roughly representative of the underlying domain and adjust their decision strategy adaptively (only) with respect to the more general environment rather than the specific items they are faced with.

Handling membership dynamicity in service composition for ubiquitous computing

DEFF Research Database (Denmark)

Brønsted, Jeppe

2007-01-01

In ubiquitous computing, as more and more devices are introduced into the environment, new applications are made possible that exploit device capabilities in new ways. Currently, however, there is a mismatch between the effort involved in implementing these applications and the benefit they provide...... to specify which nodes partake in the composite and how they interact. In this paper we introduce mechanisms for handling membership dynamicity in service composition specifications. We demonstrate how an application scenario developed in cooperation with users can be implemented using the mechanisms...

Characterizing episodic memory retrieval: electrophysiological evidence for diminished familiarity following unitization.

Science.gov (United States)

Pilgrim, Lea K; Murray, Jamie G; Donaldson, David I

2012-08-01

Episodic memory relies on both recollection and familiarity; why these processes are differentially engaged during retrieval remains unclear. Traditionally, recollection has been considered necessary for tasks requiring associative retrieval, whereas familiarity supports recognition of items. Recently, however, familiarity has been shown to contribute to associative recognition if stimuli are "unitized" at encoding (a single representation is created from multiple elements)-the "benefit" of unitization. Here, we ask if there is also a "cost" of unitization; are the elements of unitized representations less accessible via familiarity? We manipulated unitization during encoding and used ERPs to index familiarity and recollection at retrieval. The data revealed a selective reduction in the neural correlate of familiarity for individual words originally encoded in unitized compared with nonunitized word pairs. This finding reveals a measurable cost of unitization, suggesting that the nature of to-be-remembered stimuli is critical in determining whether familiarity contributes to episodic memory.

The Extent of Membership Representation and Non-Representation on the IASB

OpenAIRE

Alistair Brown

2008-01-01

Status groups abound in financial markets and none more so than in the global accounting market. One such group is the powerful and closed International Accounting Standards Board (IASB). This study empirically examines the social control of IASB membership by considering the country affiliation of members, Internet access, and gender composition over a five-year period. The results of the study show that over the period 2001-2005 representation on a four IASB committees was dominated by m...

Contextual cueing based on the semantic-category membership of the environment

OpenAIRE

GOUJON, A

2005-01-01

During the analysis of a visual scene, top-down processing is constantly directing the subject's attention to the zones of interest in the scene. The contextual cueing paradigm developed by Chun and Jiang (1998) shows how contextual regularities can facilitate the search for a particular element via implicit learning mechanisms. In the proposed study, contextual cueing task with lexical displays was used. The semantic-category membership of the contextual words predicted the location of the t...

Exploring cultural differences in the recognition of the self-conscious emotions

NARCIS (Netherlands)

Chung, J.M.H.; Robins, R.W.

2015-01-01

Recent research suggests that the self-conscious emotions of embarrassment, shame, and pride have distinct, nonverbal expressions that can be recognized in the United States at above-chance levels. However, few studies have examined the recognition of these emotions in other cultures, and little

Graphical symbol recognition

OpenAIRE

K.C. , Santosh; Wendling , Laurent

2015-01-01

International audience; The chapter focuses on one of the key issues in document image processing i.e., graphical symbol recognition. Graphical symbol recognition is a sub-field of a larger research domain: pattern recognition. The chapter covers several approaches (i.e., statistical, structural and syntactic) and specially designed symbol recognition techniques inspired by real-world industrial problems. It, in general, contains research problems, state-of-the-art methods that convey basic s...

77 FR 20489 - Open Season for Membership to the Electronic Tax Administration Advisory Committee (ETAAC)

Science.gov (United States)

2012-04-04

... returns, (3) tax software developers, (4) large and small business, (5) employers and payroll service... DEPARTMENT OF THE TREASURY Internal Revenue Service Open Season for Membership to the Electronic Tax Administration Advisory Committee (ETAAC) AGENCY: Internal Revenue Service (IRS), Treasury. ACTION...

78 FR 10693 - Open Season for Membership to the Electronic Tax Administration Advisory Committee (ETAAC)

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2013-02-14

... returns, (3) tax software developers, (4) large and small business, (5) employers and payroll service... DEPARTMENT OF THE TREASURY Internal Revenue Service Open Season for Membership to the Electronic Tax Administration Advisory Committee (ETAAC) AGENCY: Internal Revenue Service (IRS), Treasury. ACTION...

34 CFR 461.51 - What are the membership requirements of a State advisory council?

Science.gov (United States)

2010-07-01

... State public assistance agency; (E) The State library program; and (F) The State economic development... of— (i) Urban and rural areas; (ii) Women; (iii) Persons with disabilities; and (iv) Racial and... vacancy in the membership of the council must be filled in the same manner as the original appointment...

Two experimental tests of relational models of procedural justice: non-instrumental voice and authority group membership.

Science.gov (United States)

Platow, Michael J; Eggins, Rachael A; Chattopadhyay, Rachana; Brewer, Greg; Hardwick, Lisa; Milsom, Laurin; Brocklebank, Jacinta; Lalor, Thérèse; Martin, Rowena; Quee, Michelle; Vassallo, Sara; Welsh, Jenny

2013-06-01

In both a laboratory experiment (in Australia) using university as the basis of group membership, and a scenario experiment (in India) using religion as the basis of group membership, we observe more favourable respect and fairness ratings in response to an in-group authority than an out-group authority who administers non-instrumental voice. Moreover, we observe in our second experiment that reported likelihood of protest (herein called "social-change voice") was relatively high following non-instrumental voice from an out-group authority, but relatively low following non-instrumental voice from an in-group authority. Our findings are consistent with relational models of procedural justice, and extend the work by examining likely use of alternative forms of voice as well as highlighting the relative importance of instrumentality. ©2012 The British Psychological Society.

75 FR 43944 - Membership of the Defense Logistics Agency (DLA) Senior Executive Service (SES) Performance...

Science.gov (United States)

2010-07-27

... CONTACT: Ms. Lisa Novajosky, SES Program Manager, DLA Human Resources (J-14), Defense Logistics Agency... DEPARTMENT OF DEFENSE Defense Logistics Agency Membership of the Defense Logistics Agency (DLA... management of the SES cadre. DATES: Effective Date: September 16, 2010. ADDRESSES: Defense Logistics Agency...

The neuro-immunological interface in an evolutionary perspective: the dynamic relationship between effector and recognition systems.

Science.gov (United States)

Ottaviani, E; Valensin, S; Franceschi, C

1998-04-16

The evolutionary perspective indicates that an immune-neuroendocrine effector system integrating innate immunity, stress and inflammation is present in invertebrates. This defense network, centered on the macrophage and exerting primitive and highly promiscuous recognition units, is very effective, ancestral and appears to have been conserved throughout evolution from invertebrates to higher vertebrates. It would seem that there was a "big bang" in the recognition system of lower vertebrates, and T and B cell repertoires, MHC and antibodies suddenly appeared. We argue that this phenomenon is the counterpart of the increasing complexity of the internal circuitry and recognition units in the effector system. The immediate consequences were a progressive enlargement of the pathogen repertoire and new problems regarding self/not-self discrimination. Probably not by chance, a new organ appeared, capable of purging cells able of excessive self recognition. This organ, the thymus, appears to be the result of a well known evolutionary strategy of re-using pre-existing material (neuroendocrine cells and mediators constituting the thymic microenvironment). This bricolage at an organ level is similar to the effect we have already described at the level of molecules and functions of the defense network, and has a general counterpart at genetic level. Thus, in vertebrates, the conserved immune-neuroendocrine effector system remains of fundamental importance in defense against pathogens, while its efficiency has increased through synergy with the new, clonotipical recognition repertoire.

Genius begins at home: Shared social identity enhances the recognition of creative performance.

Science.gov (United States)

Steffens, Niklas K; Haslam, S Alexander; Ryan, Michelle K; Millard, Kathryn

2017-11-01

The present research examines the extent to which the recognition of creative performance is structured by social group membership. It does this by analysing the award of merit prizes for Best Actor and Actress in a Leading Role for the international award of US-based Oscars and British-based BAFTAs since BAFTA's inception of this category in 1968. For both awards, the exclusive assessment criterion is the quality of artists' performance in the international arena. Results show that US artists won a greater proportion of Oscars than BAFTAs (odds ratio: 2.10), whereas British artists won a greater proportion of BAFTAs than Oscars (OR: 2.26). Furthermore, results support the hypothesis that these patterns are more pronounced as the diagnostic value of a quality indicator increases - that is, in the conferring of actual awards rather than nominations. Specifically, US artists won a greater proportion of Oscar awards than nominations (OR: 1.77), while British artists won a greater proportion of BAFTA awards than nominations (OR: 1.62). Additional analyses show that the performances of in-group actors in movies portraying in-group culture (US culture in the case of Oscars, British culture in the case of BAFTAs) are more likely to be recognized than the performances of in-group actors in movies portraying the culture of other (out-)groups. These are the first data to provide clear evidence from the field that the recognition of exceptional creative performance is enhanced by shared social identity between perceivers and performers. © 2017 The British Psychological Society.

Statistical Pattern Recognition

CERN Document Server

Webb, Andrew R

2011-01-01

Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions.  It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition, all require robust and efficient pattern recognition techniques. This third edition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields,

Object recognition with hierarchical discriminant saliency networks

Directory of Open Access Journals (Sweden)

Sunhyoung eHan

2014-09-01

Full Text Available The benefits of integrating attention and object recognition are investigated. While attention is frequently modeled as pre-processor for recognition, we investigate the hypothesis that attention is an intrinsic component of recognition and vice-versa. This hypothesis is tested with a recognitionmodel, the hierarchical discriminant saliency network (HDSN, whose layers are top-down saliency detectors, tuned for a visual class according to the principles of discriminant saliency. The HDSN has two possible implementations. In a biologically plausible implementation, all layers comply with the standard neurophysiological model of visual cortex, with sub-layers of simple and complex units that implement a combination of filtering, divisive normalization, pooling, and non-linearities. In a neuralnetwork implementation, all layers are convolutional and implement acombination of filtering, rectification, and pooling. The rectificationis performed with a parametric extension of the now popular rectified linearunits (ReLUs, whose parameters can be tuned for the detection of targetobject classes. This enables a number of functional enhancementsover neural network models that lack a connection to saliency, including optimal feature denoising mechanisms for recognition, modulation ofsaliency responses by the discriminant power of the underlying features,and the ability to detect both feature presence and absence.In either implementation, each layer has a precise statistical interpretation, and all parameters are tuned by statistical learning. Each saliency detection layer learns more discriminant saliency templates than its predecessors and higher layers have larger pooling fields. This enables the HDSN to simultaneously achieve high selectivity totarget object classes and invariance. The resulting performance demonstrates benefits for all the functional enhancements of the HDSN.

Validation of the Spanish Version of the Psychological Sense of School Membership (PSSM) Scale in Chilean Adolescents and Its Association with School-Related Outcomes and Substance Use

Science.gov (United States)

Gaete, Jorge; Montero-Marin, Jesus; Rojas-Barahona, Cristian A.; Olivares, Esterbina; Araya, Ricardo

2016-01-01

School membership appears to be an important factor in explaining the relationship between students and schools, including school staff. School membership is associated with several school-related outcomes, such as academic performance and expectations. Most studies on school membership have been conducted in developed countries. The Psychological Sense of School Membership (PSSM) scale (18 items: 13 positively worded items, 5 negatively worded items) has been widely used to measure this construct, but no studies regarding its validity and reliability have been conducted in Spanish-speaking Latin American countries. This study investigates the psychometric properties, factor structure and reliability of this scale in a sample of 1250 early adolescents in Chile. Both exploratory and confirmatory factor analyses provide evidence of an excellent fit for a one-factor solution after removing the negatively worded items. The internal consistency of this new abbreviated version was 0.92. The association analyses demonstrated that high school membership was associated with better academic performance, stronger school bonding, a reduced likelihood of school misbehavior, and reduced likelihood of substance use. Analyses showed support for the reliability and validity of the PSSM among Chilean adolescents. PMID:27999554

Validation of the Spanish version of the Psychological Sense of School Membership Scale (PSSM in Chilean adolescents and its association with school-related outcomes and substance use

Directory of Open Access Journals (Sweden)

Jorge Gaete

2016-12-01

Full Text Available School membership appears to be an important factor in explaining the relationship between students and schools, including school staff. School membership is associated with several school-related outcomes, such as academic performance and expectations. Most studies on school membership have been conducted in developed countries. The Psychological Sense of School Membership (PSSM scale (18 items: 13 positively worded items, 5 negatively worded items has been widely used to measure this construct, but no studies regarding its validity and reliability have been conducted in Spanish-speaking Latin American countries. This study investigates the psychometric properties, factor structure and reliability of this scale in a sample of 1250 early adolescents in Chile. Both exploratory and confirmatory factor analyses provide evidence of an excellent fit for a one-factor solution after removing the negatively worded items. The internal consistency of this new abbreviated version was 0.92. The association analyses demonstrated that high school membership was associated with better academic performance, stronger school bonding, a reduced likelihood of school misbehavior and reduced likelihood of substance use. Analyses showed support for the reliability and validity of the PSSM among Chilean adolescents.

Real-time traffic sign recognition based on a general purpose GPU and deep-learning.

Science.gov (United States)

Lim, Kwangyong; Hong, Yongwon; Choi, Yeongwoo; Byun, Hyeran

2017-01-01

We present a General Purpose Graphics Processing Unit (GPGPU) based real-time traffic sign detection and recognition method that is robust against illumination changes. There have been many approaches to traffic sign recognition in various research fields; however, previous approaches faced several limitations when under low illumination or wide variance of light conditions. To overcome these drawbacks and improve processing speeds, we propose a method that 1) is robust against illumination changes, 2) uses GPGPU-based real-time traffic sign detection, and 3) performs region detecting and recognition using a hierarchical model. This method produces stable results in low illumination environments. Both detection and hierarchical recognition are performed in real-time, and the proposed method achieves 0.97 F1-score on our collective dataset, which uses the Vienna convention traffic rules (Germany and South Korea).

The effect of membership rules and voting schemes on the success of international climate agreements

NARCIS (Netherlands)

Finus, M.; Altamirano-Cabrera, J.C.; Ierland, van E.C.

2005-01-01

We empirically test the role of membership rules and voting schemes for climate change coalitions with the STAbility of COalitions model (STACO). The model comprises twelve world regions and captures long-run effects of greenhouse gas accumulation. We apply three stability concepts that capture the

75 FR 34423 - Secretary’s Advisory Committee on Animal Health; Notice of Solicitation for Membership

Science.gov (United States)

2010-06-17

... DEPARTMENT OF AGRICULTURE Animal and Plant Health Inspection Service [Docket No. APHIS-2009-0025... Plant Health Inspection Service, USDA. ACTION: Notice of solicitation for membership. SUMMARY: We are... disabilities. Done in Washington, DC, this 11\\th\\ day of June 2010. Kevin Shea, Acting Administrator, Animal...

Representation for dialect recognition using topographic independent component analysis

Science.gov (United States)

Wei, Qu

2004-10-01

In dialect speech recognition, the feature of tone in one dialect is subject to changes in pitch frequency as well as the length of tone. It is beneficial for the recognition if a representation can be derived to account for the frequency and length changes of tone in an effective and meaningful way. In this paper, we propose a method for learning such a representation from a set of unlabeled speech sentences containing the features of the dialect changed from various pitch frequencies and time length. Topographic independent component analysis (TICA) is applied for the unsupervised learning to produce an emergent result that is a topographic matrix made up of basis components. The dialect speech is topographic in the following sense: the basis components as the units of the speech are ordered in the feature matrix such that components of one dialect are grouped in one axis and changes in time windows are accounted for in the other axis. This provides a meaningful set of basis vectors that may be used to construct dialect subspaces for dialect speech recognition.

The Effect of Implied Performer Age and Group Membership on Evaluations of Music Performances

Science.gov (United States)

Harrington, Ann M.

2018-01-01

This study examined the effects of implied performer age and group membership on listeners' evaluations of music performances. Undergraduate music majors (n = 23), nonmusic majors (n = 17), and members of a New Horizons ensemble (n = 16) were presented with six 30-second excerpts of concert band performances. Excerpts were presented to all…

Rotation-invariant neural pattern recognition system with application to coin recognition.

Science.gov (United States)

Fukumi, M; Omatu, S; Takeda, F; Kosaka, T

1992-01-01

In pattern recognition, it is often necessary to deal with problems to classify a transformed pattern. A neural pattern recognition system which is insensitive to rotation of input pattern by various degrees is proposed. The system consists of a fixed invariance network with many slabs and a trainable multilayered network. The system was used in a rotation-invariant coin recognition problem to distinguish between a 500 yen coin and a 500 won coin. The results show that the approach works well for variable rotation pattern recognition.

System of breast cancer recognition

International Nuclear Information System (INIS)

Rozhkova, N.I.

1984-01-01

The paper is concerned with the resUlts of the multimodality system of breast cancer recognition using methods, of clinical X-ray and cytological examinations. Altogether 1671 women were examined; breast cancer was detected in 165. Stage 1 was detected in 63 patients, Stage 2 in 34, Stage 3 in 34, and Stage 4 in 8. In 7% of the cases, tumors were inpalpable and could be detected by X-ray only. In 9.9% of the cases, the multicentric nature of tumor growth was established. In 71% tumors had a mixed histological structure. The system of breast cancer recognition provided for accurate diagnosis in 98% of the cases making it possible to avoid surgical intervention in 38%. Good diagnostic results are possible under conditions of a special mammology unit where a roentgenologist working in a close contact with surgeonns working in a close contact with surgeos and morphologists, performs the first stages of diagnosis beginning from clinical examination up to special methods that require X-ray control (paracentesis, ductography, pneumocystography, preoperative marking of the breast and marking of the remote sectors of the breast)

Gangs, clubs, and alcohol: The effect of organizational membership on adolescent drinking behavior.

Science.gov (United States)

Suh, Chan S; Brashears, Matthew E; Genkin, Michael

2016-07-01

How does adolescent organizational membership in general, and simultaneous membership in distinct types of organizations in particular, impact drinking behavior? While past studies have focused either on the learning effect of involvement with gangs or on the constraining influence of conventional organizations on adolescent problem behavior, we explore the possibility that conventional school clubs can serve as socializing opportunities for existing gang members to engage in drinking behavior with non-gang club members. Using the Add Health data, we show that gang members drink more often, and engage in more binge drinking, than non-members. More importantly, individuals who are members of both gangs and school clubs drink alcohol at greater levels than those who are solely involved in gangs. In addition, non-gang adolescents who are co-members with gang members in the same school club are more likely to drink alcohol than non-members. This result has important implications for understanding the role of organizations in adolescent behavior and suggests that the study of delinquent behaviors would benefit from devoting more attention to individuals who bridge distinct types of organizations. Copyright © 2016 Elsevier Inc. All rights reserved.

The Association between Membership in the Sandwich Generation and Health Behaviors: A Longitudinal Study

Science.gov (United States)

Chassin, Laurie; Macy, Jon T.; Seo, Dong-Chul; Presson, Clark C.; Sherman, Steven J.

2010-01-01

The current study examined the association between membership in the sandwich generation, defined as providing care to both children and parents or in-laws, and five health behaviors: checking the food label for health value when buying foods, using a seat belt, choosing foods based on health value, exercising regularly, and cigarette smoking.…

Recognition of South Ossetia and Abkhazia two years later: unicum or trendsetting?

NARCIS (Netherlands)

Hille, C.

2010-01-01

The article discusses the recognition of South Ossetia and Abkhazia by the Russia Federation following an armed conflict with Georgia. The two countries have also been recognized by Nicaragua, Venezuela and Nauru. The United Nations (UN) Security Council, in its resolutions, emphasized that its

Brief report: Association between psychological sense of school membership and mental health among early adolescents.

Science.gov (United States)

Gaete, Jorge; Rojas-Barahona, Cristian A; Olivares, Esterbina; Araya, Ricardo

2016-07-01

Mental health problems among adolescents are prevalent and are associated with important difficulties for a normal development during this period and later in life. Understanding better the risk factors associated with mental health problems may help to design and implement more effective preventive interventions. Several personal and family risk factors have been identified in their relationship to mental health; however, much less is known about the influence of school-related factors. One of these school factors is school belonging or the psychological sense of school membership. This is a well-known protective factor to develop good academic commitment, but it has been scarcely studied in its relationship to mental health. We explored this association in a sample of early adolescents and found that students who reported having a high level of school membership had lower mental health problems, even after controlling for several personal and family factors. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Recent advances in Automatic Speech Recognition for Vietnamese

OpenAIRE

Le , Viet-Bac; Besacier , Laurent; Seng , Sopheap; Bigi , Brigitte; Do , Thi-Ngoc-Diep

2008-01-01

International audience; This paper presents our recent activities for automatic speech recognition for Vietnamese. First, our text data collection and processing methods and tools are described. For language modeling, we investigate word, sub-word and also hybrid word/sub-word models. For acoustic modeling, when only limited speech data are available for Vietnamese, we propose some crosslingual acoustic modeling techniques. Furthermore, since the use of sub-word units can reduce the high out-...

The Nearby, Young, Argus Association: Membership, Age, and Dusty Debris Disks

Science.gov (United States)

Zuckerman, Ben

2018-01-01

The Argus Association (AA) defined by Torres et al. (2008) is distinguished from other nearby young moving groups by virtue of its unusual Galactic U-velocity. As defined by Torres et al, their initial AA consisted of 35 members of the IC 2391 open cluster (~135 pc from Earth) and 29 “field members”, 15 of which are within 100 pc of Earth. The spectral types range from F through K with the exception of two M-type members of IC 2391. Zuckerman et al. (2011 & 2012) proposed 13 additional field members – 12 A-type and one F-type -- all of which lie within 80 pc of Earth. Additional AA members have been proposed, typically a few at a time, by other researchers. Deduced ages of the AA (via various techniques) lie, typically, between 40 and 60 Myr. Bell et al (2015) consider the membership and age of a subset of proposed AA stars via color-magnitude diagrams combined with a Bayesian analysis (following Malo et al 2013 & 2014). For the sample of AA stars that they considered, the group age, membership status of individual stars, and even the reality of a coeval moving group were in some doubt. The purpose of the present communication is to consider all proposed AA members – including the frequency of dusty debris disks -- in an attempt to bring some clarity to what is going on.

Romania’s Membership of International Financial Institutions – a Necessary Change

Directory of Open Access Journals (Sweden)

Doltu Claudiu

2018-03-01

Full Text Available After a 17-year transformation process from a centralized economy to a functional market economy, Romania joined the European Union on January 1, 2007. Today, 11 years after the EU accession, Romania is still looking forward to achieve many of the real convergence conditions and also to join the euro zone. Independent of these, as an upper medium income country is now the time to evaluate its role, benefits and obligations as a shareholder in various international financial institutions – multilateral development banks and multilateral regional banks – as a first step in assuming an active and positive role in the development international community. At the EU level, international development is slowly but constant evolving to a coherent and common approach. However, individual member states still have a lot of space to maneuver to use specific individual approaches in pursuing their own interests. The objective of this paper is to signal that for Romania the right time has come to change its passive and reactive approach of its membership in various international financial institutions for a new dynamic and active approach. In terms of financial resources that can be mobilized and used for international development Romania cannot realistically aspire to stay along with the big traditional donors. However, its relatively small contribution can be leveraged by its membership in such multilateral and/or regional institutions so to maximize the benefits both for the international community and for the Romanian taxpayer.

Active AU Based Patch Weighting for Facial Expression Recognition

Directory of Open Access Journals (Sweden)

Weicheng Xie

2017-01-01

Full Text Available Facial expression has many applications in human-computer interaction. Although feature extraction and selection have been well studied, the specificity of each expression variation is not fully explored in state-of-the-art works. In this work, the problem of multiclass expression recognition is converted into triplet-wise expression recognition. For each expression triplet, a new feature optimization model based on action unit (AU weighting and patch weight optimization is proposed to represent the specificity of the expression triplet. The sparse representation-based approach is then proposed to detect the active AUs of the testing sample for better generalization. The algorithm achieved competitive accuracies of 89.67% and 94.09% for the Jaffe and Cohn–Kanade (CK+ databases, respectively. Better cross-database performance has also been observed.

Familiar Person Recognition: Is Autonoetic Consciousness More Likely to Accompany Face Recognition Than Voice Recognition?

Science.gov (United States)

Barsics, Catherine; Brédart, Serge

2010-11-01

Autonoetic consciousness is a fundamental property of human memory, enabling us to experience mental time travel, to recollect past events with a feeling of self-involvement, and to project ourselves in the future. Autonoetic consciousness is a characteristic of episodic memory. By contrast, awareness of the past associated with a mere feeling of familiarity or knowing relies on noetic consciousness, depending on semantic memory integrity. Present research was aimed at evaluating whether conscious recollection of episodic memories is more likely to occur following the recognition of a familiar face than following the recognition of a familiar voice. Recall of semantic information (biographical information) was also assessed. Previous studies that investigated the recall of biographical information following person recognition used faces and voices of famous people as stimuli. In this study, the participants were presented with personally familiar people's voices and faces, thus avoiding the presence of identity cues in the spoken extracts and allowing a stricter control of frequency exposure with both types of stimuli (voices and faces). In the present study, the rate of retrieved episodic memories, associated with autonoetic awareness, was significantly higher from familiar faces than familiar voices even though the level of overall recognition was similar for both these stimuli domains. The same pattern was observed regarding semantic information retrieval. These results and their implications for current Interactive Activation and Competition person recognition models are discussed.

Speech Recognition for the iCub Platform

Directory of Open Access Journals (Sweden)

Bertrand Higy

2018-02-01

Full Text Available This paper describes open source software (available at https://github.com/robotology/natural-speech to build automatic speech recognition (ASR systems and run them within the YARP platform. The toolkit is designed (i to allow non-ASR experts to easily create their own ASR system and run it on iCub and (ii to build deep learning-based models specifically addressing the main challenges an ASR system faces in the context of verbal human–iCub interactions. The toolkit mostly consists of Python, C++ code and shell scripts integrated in YARP. As additional contribution, a second codebase (written in Matlab is provided for more expert ASR users who want to experiment with bio-inspired and developmental learning-inspired ASR systems. Specifically, we provide code for two distinct kinds of speech recognition: “articulatory” and “unsupervised” speech recognition. The first is largely inspired by influential neurobiological theories of speech perception which assume speech perception to be mediated by brain motor cortex activities. Our articulatory systems have been shown to outperform strong deep learning-based baselines. The second type of recognition systems, the “unsupervised” systems, do not use any supervised information (contrary to most ASR systems, including our articulatory systems. To some extent, they mimic an infant who has to discover the basic speech units of a language by herself. In addition, we provide resources consisting of pre-trained deep learning models for ASR, and a 2.5-h speech dataset of spoken commands, the VoCub dataset, which can be used to adapt an ASR system to the typical acoustic environments in which iCub operates.

17 CFR 240.15b9-2 - Exemption from SRO membership for OTC derivatives dealers.

Science.gov (United States)

2010-04-01

... 17 Commodity and Securities Exchanges 3 2010-04-01 2010-04-01 false Exemption from SRO membership for OTC derivatives dealers. 240.15b9-2 Section 240.15b9-2 Commodity and Securities Exchanges SECURITIES AND EXCHANGE COMMISSION (CONTINUED) GENERAL RULES AND REGULATIONS, SECURITIES EXCHANGE ACT OF 1934...

A Note on the Core of TU-cooperative Games with Multiple Membership Externalities

Directory of Open Access Journals (Sweden)

Heinrich H. Nax

2014-10-01

Full Text Available A generalization of transferable utility cooperative games from the functional forms introduced by von Neumann and Morgenstern (1944, Theory of Games and Economic Behavior and Lucas and Thrall (1963, Naval Research Logistics Quarterly, 10, 281–298 is proposed to allow for multiple membership. The definition of the core is adapted analogously and the possibilities for the cross-cutting of contractual arrangements are illustrated and discussed.

[Prosopagnosia and facial expression recognition].

Science.gov (United States)

Koyama, Shinichi

2014-04-01

This paper reviews clinical neuropsychological studies that have indicated that the recognition of a person's identity and the recognition of facial expressions are processed by different cortical and subcortical areas of the brain. The fusiform gyrus, especially the right fusiform gyrus, plays an important role in the recognition of identity. The superior temporal sulcus, amygdala, and medial frontal cortex play important roles in facial-expression recognition. Both facial recognition and facial-expression recognition are highly intellectual processes that involve several regions of the brain.

Synthesis and Guest Recognition of Switchable Pt-Salphen Based Molecular Tweezers

Directory of Open Access Journals (Sweden)

Lorien Benda

2018-04-01

Full Text Available Molecular tweezers are artificial receptors that have an open cavity generated by two recognition units pre-organized by a spacer. Switchable molecular tweezers, using a stimuli-responsive spacer, are particularly appealing as prototypes of the molecular machines that combine mechanical motion and allosteric recognition properties. In this present study, the synthesis of switchable molecular tweezers composed of a central terpyridine unit substituted in 4,4″ positions by two Pt(II-salphen complexes is reported. The terpyridine ligand can be reversibly converted upon Zn(II coordination from a free ‘U’-shaped closed form to a coordinated ‘W’ open form. This new substitution pattern enables a reverse control of the mechanical motion compared to the previously reported 6,6″ substituted terpyridine-based tweezers. Guest binding studies with aromatic guests showed an intercalation of coronene in the cavity created by the Pt-salphen moieties in the closed conformation. The formation of 1:1 host-guest complex was investigated by a combination of NMR studies and DFT calculations.

Development of a safety communication and recognition program for construction.

Science.gov (United States)

Sparer, Emily H; Herrick, Robert F; Dennerlein, Jack T

2015-05-01

Leading-indicator-based (e.g., hazard recognition) incentive programs provide an alternative to controversial lagging-indicator-based (e.g., injury rates) programs. We designed a leading-indicator-based safety communication and recognition program that incentivized safe working conditions. The program was piloted for two months on a commercial construction worksite and then redesigned using qualitative interview and focus group data from management and workers. We then ran the redesigned program for six months on the same worksite. Foremen received detailed weekly feedback from safety inspections, and posters displayed worksite and subcontractor safety scores. In the final program design, the whole site, not individual subcontractors, was the unit of analysis and recognition. This received high levels of acceptance from workers, who noted increased levels of site unity and team-building. This pilot program showed that construction workers value solidarity with others on site, demonstrating the importance of health and safety programs that engage all workers through a reliable and consistent communication infrastructure. © The Author(s) 2015 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

Pupil dilation during recognition memory: Isolating unexpected recognition from judgment uncertainty.

Science.gov (United States)

Mill, Ravi D; O'Connor, Akira R; Dobbins, Ian G

2016-09-01

Optimally discriminating familiar from novel stimuli demands a decision-making process informed by prior expectations. Here we demonstrate that pupillary dilation (PD) responses during recognition memory decisions are modulated by expectations, and more specifically, that pupil dilation increases for unexpected compared to expected recognition. Furthermore, multi-level modeling demonstrated that the time course of the dilation during each individual trial contains separable early and late dilation components, with the early amplitude capturing unexpected recognition, and the later trailing slope reflecting general judgment uncertainty or effort. This is the first demonstration that the early dilation response during recognition is dependent upon observer expectations and that separate recognition expectation and judgment uncertainty components are present in the dilation time course of every trial. The findings provide novel insights into adaptive memory-linked orienting mechanisms as well as the general cognitive underpinnings of the pupillary index of autonomic nervous system activity. Copyright © 2016 Elsevier B.V. All rights reserved.

Association of nutrition club membership with markers of health: a cross sectional study.

Science.gov (United States)

Das, Sai Krupa; Vail, Taylor A; Lebrón-Torres, Namibia; Livingston, Kara A; Roberts, Susan B; Rogers, Gail T; Gilhooly, Cheryl H; Urban, Lorien E; Saltzman, Edward; McKeown, Nicola M; Folta, Sara C

2017-04-11

Nutrition clubs (NC) operate in community settings and provide members with nutrition education and meal replacements for weight management. NC are owned and operated by distributors of Herbalife products. There are over 6200 NC in the US, but there has been no independent assessment of the association of these NC with biomarkers of health. We conducted a cross-sectional pilot study to compare the health status of 100 NC members to 100 community-matched controls (CC) in the greater Boston area. Each CC was matched to a NC member for community of residence (zip code), age category, gender, BMI category, race/ethnicity, education level (category), and readiness to make health changes. Measures obtained included cardio-metabolic risk factors, body composition, markers of nutritional status, reported health status, dietary intake, physical activity, sleep and depression. Participants were predominantly female (64%) and Hispanic (73%). NC members had significantly lower fasting insulin (P Herbalife NC membership for themselves and their families. A higher percentage of NC members (86%) compared to CC (32%) reported being in much better or somewhat better health compared to a year ago (P Herbalife NC membership was positively associated with perceived health and measured cardiometabolic benefits. However, causality cannot be inferred from these findings.

Kernel learning algorithms for face recognition

CERN Document Server

Li, Jun-Bao; Pan, Jeng-Shyang

2013-01-01

Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced kernel learning algorithms and its application on face recognition. This book also focuses on the theoretical deviation, the system framework and experiments involving kernel based face recognition. Included within are algorithms of kernel based face recognition, and also the feasibility of the kernel based face recognition method. This book provides researchers in pattern recognition and machine learning area with advanced face recognition methods and its new

Criteria for the recognition and correlation of sandstone units in the Precambrian and Paleozoic-Mesozoic clastic sequence in the near east

Science.gov (United States)

Weissbrod, T.; Perath, I.

A systematic study of the Precambrian and Paleozoic-Mesozoic clastic sequences (Nubian Sandstone) in Israel and Sinai, and a comparative analysis of its stratigraphy in neighbouring countries, has shown that besides the conventional criteria of subdivision (lithology, field appearance, photogeological features, fossil content), additional criteria can be applied, which singly or in mutual conjuction enable the recognition of widespread units and boundaries. These criteria show lateral constancy, and recurrence of a similar vertical sequence over great distances, and are therefore acceptable for the identification of synchronous, region-wide sedimentary units (and consequently, major unconformities). They also enable, once the units are established, to identify detached (not in situ) samples, samples from isolated or discontinous outcrops, borehole material or archive material. The following rock properties were tested and found to be usefuls in stratigraphic interpretation, throughout large distribution areas of the clastic sequence: Landscape, which is basically the response of a particular textural-chemic al aggregate to atmospheric weathering. Characteristic outcrop feature — styles of roundness or massivity, fissuring or fliatin, slope profile, bedding — express a basic uniformity of these platform-type clastics. Colors are often stratigraphically constant over hundreds of kilometers, through various climates and topographies, and express some intrinsic unity of the rock bodies. Grain size and sorting, when cross-plotted, enable to differentiate existing unit. The method requires the analysis of representative numbers of samples. Vertical trends of median grain size and sorting show reversals, typically across unconformities. Feldstar content diminishes from 15-50% in Precambrian-Paleozoic rocks to a mere 5% or less in Mesozoic sandstones — a distinctive regionwide time trend. Dominance of certain feldstar types characterizes Precambrian and Paleozoic

The role of syllabic structure in French visual word recognition.

Science.gov (United States)

Rouibah, A; Taft, M

2001-03-01

Two experiments are reported in which the processing units involved in the reading of French polysyllabic words are examined. A comparison was made between units following the maximal onset principle (i.e., the spoken syllable) and units following the maximal coda principle (i.e., the basic orthographic syllabic structure [BOSS]). In the first experiment, it took longer to recognize that a syllable was the beginning of a word (e.g., the FOE of FOETUS) than to make the same judgment of a BOSS (e.g., FOET). The fact that a BOSS plus one letter (e.g., FOETU) also took longer to judge than the BOSS indicated that the maximal coda principle applies to the units of processing in French. The second experiment confirmed this, using a lexical decision task with the different units being demarcated on the basis of color. It was concluded that the syllabic structure that is so clearly manifested in the spoken form of French is not involved in visual word recognition.

How membership of the CERN Pension Fund is taken into account by certain French Pension Funds

CERN Multimedia

HR Department

2010-01-01

Information for current and former CERN staff members from the Rhône-Alpes branch of the Caisse Régionale d’Assurance Maladie (CRAM) The Rhône-Alpes branch of the Caisse Régionale d’Assurance Maladie (CRAM) has recently informed CERN that, since 1 January 2010, periods of membership of the CERN Pension Fund can, under certain conditions, be used in the calculation of the pension paid by certain French pension funds. For more information on this subject, please consult Circular DSS/DACI/2010/85 of 4 March 2010 pertaining to the manner in which periods of membership of compulsory pension funds of European or international organisations, to which France is a party, are taken into account in determining the period used by French pension funds to establish the pension entitlement. The Circular can be accessed at the following sites: http://www.securite-sociale.fr/textes/retraite/international/affiliation_instut_international_eu.htm and http://www.c...

Social Identity Mapping: A procedure for visual representation and assessment of subjective multiple group memberships.

Science.gov (United States)

Cruwys, Tegan; Steffens, Niklas K; Haslam, S Alexander; Haslam, Catherine; Jetten, Jolanda; Dingle, Genevieve A

2016-12-01

In this research, we introduce Social Identity Mapping (SIM) as a method for visually representing and assessing a person's subjective network of group memberships. To provide evidence of its utility, we report validating data from three studies (two longitudinal), involving student, community, and clinical samples, together comprising over 400 participants. Results indicate that SIM is easy to use, internally consistent, with good convergent and discriminant validity. Each study also illustrates the ways that SIM can be used to address a range of novel research questions. Study 1 shows that multiple positive group memberships are a particularly powerful predictor of well-being. Study 2 shows that social support is primarily given and received within social groups and that only in-group support is beneficial for well-being. Study 3 shows that improved mental health following a social group intervention is attributable to an increase in group compatibility. In this way, the studies demonstrate the capacity for SIM to make a contribution both to the development of social-psychological theory and to its practical application. © 2016 The British Psychological Society.

Functions of Aggression and Delinquency: The Moderating Role of Parent Criminality and Friends' Gang Membership.

Science.gov (United States)

Ang, Rebecca P; Huan, Vivien S; Li, Xiang; Chan, Wei Teng

2016-03-02

This study examined the relationships between two functions of aggression (i.e., reactive and proactive) and delinquency, including the moderating effects of parent criminality and friends' gang membership, in a sample of 1,027 Singaporean adolescents from Grade 7 to Grade 9, with age ranging from 12 to 19 years (M = 14.10, SD = 1.15). Findings suggested that both reactive aggression and proactive aggression significantly and positively predicted delinquency (after controlling for proactive aggression and reactive aggression, respectively), with proactive aggression being a stronger predictor. Friends' gang membership was found to moderate the relationship between reactive aggression and delinquency, and proactive aggression and delinquency, with stronger moderator effects for the latter. Those who were aggressive proactively and who had friends in a gang appear to be impacted most negatively with respect to delinquency. Parent criminality did not moderate these relationships. These findings highlight the need to effectively address the issues of child and adolescent aggression. Also, developing positive peer relations early is crucial for delinquency prevention. © The Author(s) 2016.

Psychiatric Nursing's Role in Child Abuse: Prevention, Recognition, and Treatment.

Science.gov (United States)

Ellington, Erin

2017-11-01

Child abuse affects hundreds of thousands of children in the United States each year. The effects from maltreatment extend beyond the physical injuries-the lasting effects on the child's mental health can be lifelong. Psychiatric nurses have a vital role to play in the prevention, recognition, and treatment of child abuse. [Journal of Psychosocial Nursing and Mental Health Services, 55(11), 16-20.]. Copyright 2017, SLACK Incorporated.

Optimal fuzzy logic-based PID controller for load-frequency control including superconducting magnetic energy storage units

International Nuclear Information System (INIS)

Pothiya, Saravuth; Ngamroo, Issarachai

2008-01-01

This paper proposes a new optimal fuzzy logic-based-proportional-integral-derivative (FLPID) controller for load frequency control (LFC) including superconducting magnetic energy storage (SMES) units. Conventionally, the membership functions and control rules of fuzzy logic control are obtained by trial and error method or experiences of designers. To overcome this problem, the multiple tabu search (MTS) algorithm is applied to simultaneously tune PID gains, membership functions and control rules of FLPID controller to minimize frequency deviations of the system against load disturbances. The MTS algorithm introduces additional techniques for improvement of search process such as initialization, adaptive search, multiple searches, crossover and restarting process. Simulation results explicitly show that the performance of the optimum FLPID controller is superior to the conventional PID controller and the non-optimum FLPID controller in terms of the overshoot, settling time and robustness against variations of system parameters

Auditory Perception in an Open Space: Detection and Recognition

Science.gov (United States)

2015-06-01

recognition ranges of most sounds were approximately 100–200 m. Therefore, it may be hypothesized that this range makes up the soundscape or the range of the... soundscapes . Acta Acustica united with Acustica. 2003;89:287–295. Delaney ME. Range predictions for siren sources. Teddington (UK): National...management of park soundscapes : a review. Applied Acoustics. 2008;69:77–92. Mirabella A, Goldstein D. The effects of ambient noise upon signal detection

Sudden Event Recognition: A Survey

Directory of Open Access Journals (Sweden)

Mohd Asyraf Zulkifley

2013-08-01

Full Text Available Event recognition is one of the most active research areas in video surveillance fields. Advancement in event recognition systems mainly aims to provide convenience, safety and an efficient lifestyle for humanity. A precise, accurate and robust approach is necessary to enable event recognition systems to respond to sudden changes in various uncontrolled environments, such as the case of an emergency, physical threat and a fire or bomb alert. The performance of sudden event recognition systems depends heavily on the accuracy of low level processing, like detection, recognition, tracking and machine learning algorithms. This survey aims to detect and characterize a sudden event, which is a subset of an abnormal event in several video surveillance applications. This paper discusses the following in detail: (1 the importance of a sudden event over a general anomalous event; (2 frameworks used in sudden event recognition; (3 the requirements and comparative studies of a sudden event recognition system and (4 various decision-making approaches for sudden event recognition. The advantages and drawbacks of using 3D images from multiple cameras for real-time application are also discussed. The paper concludes with suggestions for future research directions in sudden event recognition.

Automatic speech recognition for radiological reporting

International Nuclear Information System (INIS)

Vidal, B.

1991-01-01

Large vocabulary speech recognition, its techniques and its software and hardware technology, are being developed, aimed at providing the office user with a tool that could significantly improve both quantity and quality of his work: the dictation machine, which allows memos and documents to be input using voice and a microphone instead of fingers and a keyboard. The IBM Rome Science Center, together with the IBM Research Division, has built a prototype recognizer that accepts sentences in natural language from 20.000-word Italian vocabulary. The unit runs on a personal computer equipped with a special hardware capable of giving all the necessary computing power. The first laboratory experiments yielded very interesting results and pointed out such system characteristics to make its use possible in operational environments. To this purpose, the dictation of medical reports was considered as a suitable application. In cooperation with the 2nd Radiology Department of S. Maria della Misericordia Hospital (Udine, Italy), a system was experimented by radiology department doctors during their everyday work. The doctors were able to directly dictate their reports to the unit. The text appeared immediately on the screen, and eventual errors could be corrected either by voice or by using the keyboard. At the end of report dictation, the doctors could both print and archive the text. The report could also be forwarded to hospital information system, when the latter was available. Our results have been very encouraging: the system proved to be robust, simple to use, and accurate (over 95% average recognition rate). The experiment was precious for suggestion and comments, and its results are useful for system evolution towards improved system management and efficency

Multiple ways to the prior occurrence of an event: an electrophysiological dissociation of experimental and conceptually driven familiarity in recognition memory.

Science.gov (United States)

Wiegand, Iris; Bader, Regine; Mecklinger, Axel

2010-11-11

Recent research has shown that familiarity contributes to associative memory when the to-be-associated stimuli are unitized during encoding. However, the specific processes underlying familiarity-based recognition of unitized representations are still indefinite. In this study, we present electrophysiologically dissociable early old/new effects, presumably related to two different kinds of familiarity inherent in associative recognition tasks. In a study-test associative recognition memory paradigm, we employed encoding conditions that established unitized representations of two pre-experimentally unrelated words, e.g. vegetable-bible. We compared event-related potentials (ERP) during the retrieval of these unitized word pairs using different retrieval cues. Word pairs presented in the same order as during unitization at encoding elicited a parietally distributed early old/new effect which we interpret as reflecting conceptually driven familiarity for newly formed concepts. Conversely, word pairs presented in reversed order only elicited a topographically dissociable early effect, i.e. the mid-frontal old/new effect, the putative correlate of experimental familiarity. The late parietal old/new effect, the putative ERP correlate of recollection, was obtained irrespective of word order, though it was larger for words presented in same order. These results indicate that familiarity may not be a unitary process and that different task demands can promote the assessment of conceptually driven familiarity for novel unitized concepts or experimentally-induced increments of experimental familiarity, respectively. Copyright © 2010 Elsevier B.V. All rights reserved.

The Improvement of Behavior Recognition Accuracy of Micro Inertial Accelerometer by Secondary Recognition Algorithm

Directory of Open Access Journals (Sweden)

Yu Liu

2014-05-01

Full Text Available Behaviors of “still”, “walking”, “running”, “jumping”, “upstairs” and “downstairs” can be recognized by micro inertial accelerometer of low cost. By using the features as inputs to the well-trained BP artificial neural network which is selected as classifier, those behaviors can be recognized. But the experimental results show that the recognition accuracy is not satisfactory. This paper presents secondary recognition algorithm and combine it with BP artificial neural network to improving the recognition accuracy. The Algorithm is verified by the Android mobile platform, and the recognition accuracy can be improved more than 8 %. Through extensive testing statistic analysis, the recognition accuracy can reach 95 % through BP artificial neural network and the secondary recognition, which is a reasonable good result from practical point of view.

Systematic design of membership functions for fuzzy-logic control: A case study on one-stage partial nitritation/anammox treatment systems.

Science.gov (United States)

Boiocchi, Riccardo; Gernaey, Krist V; Sin, Gürkan

2016-10-01

A methodology is developed to systematically design the membership functions of fuzzy-logic controllers for multivariable systems. The methodology consists of a systematic derivation of the critical points of the membership functions as a function of predefined control objectives. Several constrained optimization problems corresponding to different qualitative operation states of the system are defined and solved to identify, in a consistent manner, the critical points of the membership functions for the input variables. The consistently identified critical points, together with the linguistic rules, determine the long term reachability of the control objectives by the fuzzy logic controller. The methodology is highlighted using a single-stage side-stream partial nitritation/Anammox reactor as a case study. As a result, a new fuzzy-logic controller for high and stable total nitrogen removal efficiency is designed. Rigorous simulations are carried out to evaluate and benchmark the performance of the controller. The results demonstrate that the novel control strategy is capable of rejecting the long-term influent disturbances, and can achieve a stable and high TN removal efficiency. Additionally, the controller was tested, and showed robustness, against measurement noise levels typical for wastewater sensors. A feedforward-feedback configuration using the present controller would give even better performance. In comparison, a previously developed fuzzy-logic controller using merely expert and intuitive knowledge performed worse. This proved the importance of using a systematic methodology for the derivation of the membership functions for multivariable systems. These results are promising for future applications of the controller in real full-scale plants. Furthermore, the methodology can be used as a tool to help systematically design fuzzy logic control applications for other biological processes. Copyright © 2016 Elsevier Ltd. All rights reserved.

Stress-reducing preventive maintenance model for a unit under stressful environment

International Nuclear Information System (INIS)

Park, J.H.; Chang, Woojin; Lie, C.H.

2012-01-01

We develop a preventive maintenance (PM) model for a unit operated under stressful environment. The PM model in this paper consists of a failure rate model and two cost models to determine the optimal PM scheduling which minimizes a cost rate. The assumption for the proposed model is that stressful environment accelerates the failure of the unit and periodic maintenances reduce stress from outside. The failure rate model handles the maintenance effect of PM using improvement and stress factors. The cost models are categorized into two failure recognition cases: immediate failure recognition and periodic failure detection. The optimal PM scheduling is obtained by considering the trade-off between the related cost and the lifetime of a unit in our model setting. The practical usage of our proposed model is tested through a numerical example.

Which Membership Matters? External vs. Internal Determinants of Institutional Change in Transition Countries

OpenAIRE

Thorsten Drautzburg; Inna Melnykovska; Rainer Schweickert

2008-01-01

This paper analyses potential internal and external determinants of institutional change as measured by the World Bank Governance Indicators (WBGI) based on a panel of 25 transition countries for the period from 1996 to 2005. We show that natural resources and capital inflows exert an insignificant or negative influence and that economic policy allows to break path-dependency. Most importantly, however, we are able to show that incentives provided by NATO membership are important for institut...

Turkey’s Membership in the European Union: Analyzing Potential Benefits and Drawbacks

Science.gov (United States)

2008-12-01

began with the establishment of a coal and steel community, and it has led to an economic, social, and political union.1 Considering the historical...important tool for economic, social and political progress. Yet, this membership is not a sine qua non for Turkey. Turkey wants to be treated as well...and Germany – and its role in the consolidation of democracy in Spain and Portugal – constitute important examples.132 The EU has not, however, had

Object/Shape Recognition Technology: An Assessment of the Feasibility of Implementation at Defense Logistics Agency Disposition Services

Science.gov (United States)

2015-02-25

provide efficiency and effectively manufacture or inventory items. The industries that benefit from Cognex technology are automotive, food and beverage ...recognition tedmology, Tedmology Readiness Level, PAGES Cost Benefit Analysis, Tedmology Commercialization, Technology Transition 139 16. PRICE CODE 17...Technology Development & Transition Strategy Guidebook xvii UD Ultimate Disposal U.S. United States USAF United States Air Force xviii THIS

A Fuzzy Logic Model to Classify Design Efficiency of Nursing Unit Floors

Directory of Open Access Journals (Sweden)

Tuğçe KAZANASMAZ

2010-01-01

Full Text Available This study was conducted to determine classifications for the planimetric design efficiency of certain public hospitals by developing a fuzzy logic algorithm. Utilizing primary areas and circulation areas from nursing unit floor plans, the study employed triangular membership functions for the fuzzy subsets. The input variables of primary areas per bed and circulation areas per bed were fuzzified in this model. The relationship between input variables and output variable of design efficiency were displayed as a result of fuzzy rules. To test existing nursing unit floors, efficiency output values were obtained and efficiency classes were constructed by this model in accordance with general norms, guidelines and previous studies. The classification of efficiency resulted from the comparison of hospitals.

LGBT Family Lawyers and Same-Sex Marriage Recognition: How Legal Change Shapes Professional Identity and Practice.

Science.gov (United States)

Baumle, Amanda K

2018-01-10

Lawyers who practice family law for LGBT clients are key players in the tenuous and evolving legal environment surrounding same-sex marriage recognition. Building on prior research on factors shaping the professional identities of lawyers generally, and activist lawyers specifically, I examine how practice within a rapidly changing, patchwork legal environment shapes professional identity for this group of lawyers. I draw on interviews with 21 LGBT family lawyers to analyze how the unique features of LGBT family law shape their professional identities and practice, as well as their predictions about the development of the practice in a post-Obergefell world. Findings reveal that the professional identities and practice of LGBT family lawyers are shaped by uncertainty, characteristics of activist lawyering, community membership, and community service. Individual motivations and institutional forces work to generate a professional identity that is resilient and dynamic, characterized by skepticism and distrust coupled with flexibility and creativity. These features are likely to play a role in the evolution of the LGBT family lawyer professional identity post-marriage equality.

Staff Association membership is free of charge for the rest of 2017

CERN Multimedia

Staff Association

2017-01-01

Starting from September 1st, membership of the Staff Association is free for all new members for the period up to the end of 2017. This is to allow you to participate in the Staff Council elections. Indeed, only Employed Members of the Personnel (MPE: staff and fellows) and Associated Members of the Personnel (MPA), who are members of the Staff Association, can: stand for election and become a delegate of the personnel; vote and elect their representatives to the Staff Council. Do not hesitate any longer; join now!

Protein-protein interaction site prediction in Homo sapiens and E. coli using an interaction-affinity based membership function in fuzzy SVM.

Science.gov (United States)

Sriwastava, Brijesh Kumar; Basu, Subhadip; Maulik, Ujjwal

2015-10-01

Protein-protein interaction (PPI) site prediction aids to ascertain the interface residues that participate in interaction processes. Fuzzy support vector machine (F-SVM) is proposed as an effective method to solve this problem, and we have shown that the performance of the classical SVM can be enhanced with the help of an interaction-affinity based fuzzy membership function. The performances of both SVM and F-SVM on the PPI databases of the Homo sapiens and E. coli organisms are evaluated and estimated the statistical significance of the developed method over classical SVM and other fuzzy membership-based SVM methods available in the literature. Our membership function uses the residue-level interaction affinity scores for each pair of positive and negative sequence fragments. The average AUC scores in the 10-fold cross-validation experiments are measured as 79.94% and 80.48% for the Homo sapiens and E. coli organisms respectively. On the independent test datasets, AUC scores are obtained as 76.59% and 80.17% respectively for the two organisms. In almost all cases, the developed F-SVM method improves the performances obtained by the corresponding classical SVM and the other classifiers, available in the literature.

The Legal Recognition of Sign Languages

Science.gov (United States)

De Meulder, Maartje

2015-01-01

This article provides an analytical overview of the different types of explicit legal recognition of sign languages. Five categories are distinguished: constitutional recognition, recognition by means of general language legislation, recognition by means of a sign language law or act, recognition by means of a sign language law or act including…

Succinct Data Structures for Retrieval and Approximate Membership

DEFF Research Database (Denmark)

Dietzfelbinger, Martin; Pagh, Rasmus

2008-01-01

The retrieval problem is the problem of associating data with keys in a set. Formally, the data structure must store a function that has specified values on the elements of a given set S ⊆ U, |S| = n, but may have any value on elements outside S. All known methods (e. g. those based on perfect hash...... functions), induce a space overhead of Θ(n) bits over the optimum, regardless of the evaluation time. We show that for any k, query time O(k) can be achieved using space that is within a factor 1 + e − k of optimal, asymptotically for large n. The time to construct the data structure is O(n), expected....... If we allow logarithmic evaluation time, the additive overhead can be reduced to O(loglogn) bits whp. A general reduction transfers the results on retrieval into analogous results on approximate membership, a problem traditionally addressed using Bloom filters. Thus we obtain space bounds arbitrarily...

Late recognition of pregnancy as a predictor of adverse birth outcomes.

Science.gov (United States)

Ayoola, Adejoke B; Stommel, Manfred; Nettleman, Mary D

2009-08-01

We examined the relationship between the time of recognition of pregnancy and birth outcomes, such as premature births, low birthweight (LBW), admission to the neonatal intensive care unit (NICU), and infant mortality. A secondary analysis was performed using the Pregnancy Risk Assessment and Monitoring System (PRAMS) multistate data from 2000-2004. The sample consisted of 136,373 women who had a live childbirth. Analysis involved multiple logistic regression models, appropriately weighted for point and variance estimation to reflect the complex survey design of the PRAMS using STATA 9.2 (Stata Corp, College Station, TX). Approximately 27.6% recognized their pregnancy late (after 6 weeks of gestation). Late recognition was significantly associated with an increased odds of having premature births (odds ratio [OR], 1.09; 99% confidence interval [CI], 1.01-1.19), LBW (OR, 1.08; 99% CI, 1.01-1.15), and NICU admissions (OR, 1.12; 99% CI, 1.03-1.21). These results provide a rationale and an impetus for developing interventions that promote early recognition of pregnancy.

[The nurse within emergency medical-psychological units].

Science.gov (United States)

Darbon, Rémy; Dalphin, Catherine; Prieto, Nathalie; Cheucle, Éric

2017-04-01

The growing recognition of post-traumatic stress disorders and the need to intervene early justifies the creation of emergency medical-psychological units. The nurse has a major role to play within these teams. Copyright © 2017 Elsevier Masson SAS. All rights reserved.

Human activity recognition and prediction

CERN Document Server

2016-01-01

This book provides a unique view of human activity recognition, especially fine-grained human activity structure learning, human-interaction recognition, RGB-D data based action recognition, temporal decomposition, and causality learning in unconstrained human activity videos. The techniques discussed give readers tools that provide a significant improvement over existing methodologies of video content understanding by taking advantage of activity recognition. It links multiple popular research fields in computer vision, machine learning, human-centered computing, human-computer interaction, image classification, and pattern recognition. In addition, the book includes several key chapters covering multiple emerging topics in the field. Contributed by top experts and practitioners, the chapters present key topics from different angles and blend both methodology and application, composing a solid overview of the human activity recognition techniques. .

Predicting Protein-Protein Interaction Sites with a Novel Membership Based Fuzzy SVM Classifier.

Science.gov (United States)

Sriwastava, Brijesh K; Basu, Subhadip; Maulik, Ujjwal

2015-01-01

Predicting residues that participate in protein-protein interactions (PPI) helps to identify, which amino acids are located at the interface. In this paper, we show that the performance of the classical support vector machine (SVM) algorithm can further be improved with the use of a custom-designed fuzzy membership function, for the partner-specific PPI interface prediction problem. We evaluated the performances of both classical SVM and fuzzy SVM (F-SVM) on the PPI databases of three different model proteomes of Homo sapiens, Escherichia coli and Saccharomyces Cerevisiae and calculated the statistical significance of the developed F-SVM over classical SVM algorithm. We also compared our performance with the available state-of-the-art fuzzy methods in this domain and observed significant performance improvements. To predict interaction sites in protein complexes, local composition of amino acids together with their physico-chemical characteristics are used, where the F-SVM based prediction method exploits the membership function for each pair of sequence fragments. The average F-SVM performance (area under ROC curve) on the test samples in 10-fold cross validation experiment are measured as 77.07, 78.39, and 74.91 percent for the aforementioned organisms respectively. Performances on independent test sets are obtained as 72.09, 73.24 and 82.74 percent respectively. The software is available for free download from http://code.google.com/p/cmater-bioinfo.

Radar automatic target recognition (ATR) and non-cooperative target recognition (NCTR)

CERN Document Server

Blacknell, David

2013-01-01

The ability to detect and locate targets by day or night, over wide areas, regardless of weather conditions has long made radar a key sensor in many military and civil applications. However, the ability to automatically and reliably distinguish different targets represents a difficult challenge. Radar Automatic Target Recognition (ATR) and Non-Cooperative Target Recognition (NCTR) captures material presented in the NATO SET-172 lecture series to provide an overview of the state-of-the-art and continuing challenges of radar target recognition. Topics covered include the problem as applied to th

Recognition and Toleration

DEFF Research Database (Denmark)

Lægaard, Sune

2010-01-01

Recognition and toleration are ways of relating to the diversity characteristic of multicultural societies. The article concerns the possible meanings of toleration and recognition, and the conflict that is often claimed to exist between these two approaches to diversity. Different forms or inter...

Impact of a voice recognition system on report cycle time and radiologist reading time

Science.gov (United States)

Melson, David L.; Brophy, Robert; Blaine, G. James; Jost, R. Gilbert; Brink, Gary S.

1998-07-01

Because of its exciting potential to improve clinical service, as well as reduce costs, a voice recognition system for radiological dictation was recently installed at our institution. This system will be clinically successful if it dramatically reduces radiology report turnaround time without substantially affecting radiologist dictation and editing time. This report summarizes an observer study currently under way in which radiologist reporting times using the traditional transcription system and the voice recognition system are compared. Four radiologists are observed interpreting portable intensive care unit (ICU) chest examinations at a workstation in the chest reading area. Data are recorded with the radiologists using the transcription system and using the voice recognition system. The measurements distinguish between time spent performing clerical tasks and time spent actually dictating the report. Editing time and the number of corrections made are recorded. Additionally, statistics are gathered to assess the voice recognition system's impact on the report cycle time -- the time from report dictation to availability of an edited and finalized report -- and the length of reports.

Super-recognition in development: A case study of an adolescent with extraordinary face recognition skills.

Science.gov (United States)

Bennetts, Rachel J; Mole, Joseph; Bate, Sarah

2017-09-01

Face recognition abilities vary widely. While face recognition deficits have been reported in children, it is unclear whether superior face recognition skills can be encountered during development. This paper presents O.B., a 14-year-old female with extraordinary face recognition skills: a "super-recognizer" (SR). O.B. demonstrated exceptional face-processing skills across multiple tasks, with a level of performance that is comparable to adult SRs. Her superior abilities appear to be specific to face identity: She showed an exaggerated face inversion effect and her superior abilities did not extend to object processing or non-identity aspects of face recognition. Finally, an eye-movement task demonstrated that O.B. spent more time than controls examining the nose - a pattern previously reported in adult SRs. O.B. is therefore particularly skilled at extracting and using identity-specific facial cues, indicating that face and object recognition are dissociable during development, and that super recognition can be detected in adolescence.

Public funding of innovation R and D y cooperation and membership in printing industry

International Nuclear Information System (INIS)

Guisado Tato, M.; Vila, M.; Guisado Gonzalez, M.

2010-01-01

This paper contrasts how business cooperation at the level of R and D, the size and the membership in printing industry determine the participation of innovative manufacturing companies in the systems of public support for innovation. Material and methods. From the microdata of the survey on technological innovation 1998-2000, of the National Institute of Statistics (INE), a database is created by the manufacturing Spanish companies involved in innovation. Afterwards, by univariate and multivariate statistical methods, we contrast whether cooperation, size and membership in printing industry determine the participation of the manufacturing innovative companies in the systems of public support for innovation, as well as the direction of that conditioning. Results. The tests carried out indicate that more cooperation between companies at the level of a larger size have a positive influence on the degree of business involvement in the systems of public support for innovation.Discussion. Public administrations seek to foster the development of innovation among manufacturing companies facilitating by providing funds to the companies that cooperate in the area of I and D. Likewise, public support for innovation are targeting in larger firms, while the companies, belonging to the printing industry have less likely to obtain public funding for their innovative projects that the remaining companies of the Spanish manufacturing sector. (Author).

A dynamic texture based approach to recognition of facial actions and their temporal models

NARCIS (Netherlands)

Koelstra, Sander; Pantic, Maja; Patras, Ioannis (Yannis)

2010-01-01

In this work, we propose a dynamic texture-based approach to the recognition of facial Action Units (AUs, atomic facial gestures) and their temporal models (i.e., sequences of temporal segments: neutral, onset, apex, and offset) in near-frontal-view face videos. Two approaches to modeling the

Type-2 fuzzy elliptic membership functions for modeling uncertainty

DEFF Research Database (Denmark)

Kayacan, Erdal; Sarabakha, Andriy; Coupland, Simon

2018-01-01

Whereas type-1 and type-2 membership functions (MFs) are the core of any fuzzy logic system, there are no performance criteria available to evaluate the goodness or correctness of the fuzzy MFs. In this paper, we make extensive analysis in terms of the capability of type-2 elliptic fuzzy MFs...... in modeling uncertainty. Having decoupled parameters for its support and width, elliptic MFs are unique amongst existing type-2 fuzzy MFs. In this investigation, the uncertainty distribution along the elliptic MF support is studied, and a detailed analysis is given to compare and contrast its performance...... advantages mentioned above, elliptic MFs have comparable prediction results when compared to Gaussian and triangular MFs. Finally, in order to test the performance of fuzzy logic controller with elliptic interval type-2 MFs, extensive real-time experiments are conducted for the 3D trajectory tracking problem...

A motivational determinant of facial emotion recognition: regulatory focus affects recognition of emotions in faces.

Science.gov (United States)

Sassenrath, Claudia; Sassenberg, Kai; Ray, Devin G; Scheiter, Katharina; Jarodzka, Halszka

2014-01-01

Two studies examined an unexplored motivational determinant of facial emotion recognition: observer regulatory focus. It was predicted that a promotion focus would enhance facial emotion recognition relative to a prevention focus because the attentional strategies associated with promotion focus enhance performance on well-learned or innate tasks - such as facial emotion recognition. In Study 1, a promotion or a prevention focus was experimentally induced and better facial emotion recognition was observed in a promotion focus compared to a prevention focus. In Study 2, individual differences in chronic regulatory focus were assessed and attention allocation was measured using eye tracking during the facial emotion recognition task. Results indicated that the positive relation between a promotion focus and facial emotion recognition is mediated by shorter fixation duration on the face which reflects a pattern of attention allocation matched to the eager strategy in a promotion focus (i.e., striving to make hits). A prevention focus did not have an impact neither on perceptual processing nor on facial emotion recognition. Taken together, these findings demonstrate important mechanisms and consequences of observer motivational orientation for facial emotion recognition.

Automatic transcription of continuous speech into syllable-like units ...

Indian Academy of Sciences (India)

style HMM models are generated for each of the clusters during training. During testing .... manual segmentation at syllable-like units followed by isolated style recognition of continu- ous speech ..... obtaining demisyllabic reference patterns.

Pattern recognition & machine learning

CERN Document Server

Anzai, Y

1992-01-01

This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introduction to artifical intelligence and knowledge engineering, and no previous knowledge of pattern recognition or machine learning is necessary. Basic for various pattern recognition and machine learning methods. Translated from Japanese, the book also features chapter exercises, keywords, and summaries.

Gender Variations in the Effects of Number of Organizational Memberships, Number of Social Networking Sites, and Grade-Point Average on Global Social Responsibility in Filipino University Students

Directory of Open Access Journals (Sweden)

Romeo B. Lee

2016-02-01

Full Text Available The study seeks to estimate gender variations in the direct effects of (a number of organizational memberships, (b number of social networking sites (SNS, and (c grade-point average (GPA on global social responsibility (GSR; and in the indirect effects of (a and of (b through (c on GSR. Cross-sectional survey data were drawn from questionnaire interviews involving 3,173 Filipino university students. Based on a path model, the three factors were tested to determine their inter-relationships and their relationships with GSR. The direct and total effects of the exogenous factors on the dependent variable are statistically significantly robust. The indirect effects of organizational memberships on GSR through GPA are also statistically significant, but the indirect effects of SNS on GSR through GPA are marginal. Men and women significantly differ only in terms of the total effects of their organizational memberships on GSR. The lack of broad gender variations in the effects of SNS, organizational memberships and GPA on GSR may be linked to the relatively homogenous characteristics and experiences of the university students interviewed. There is a need for more path models to better understand the predictors of GSR in local students.

Gender Variations in the Effects of Number of Organizational Memberships, Number of Social Networking Sites, and Grade-Point Average on Global Social Responsibility in Filipino University Students

Science.gov (United States)

Lee, Romeo B.; Baring, Rito V.; Sta. Maria, Madelene A.

2016-01-01

The study seeks to estimate gender variations in the direct effects of (a) number of organizational memberships, (b) number of social networking sites (SNS), and (c) grade-point average (GPA) on global social responsibility (GSR); and in the indirect effects of (a) and of (b) through (c) on GSR. Cross-sectional survey data were drawn from questionnaire interviews involving 3,173 Filipino university students. Based on a path model, the three factors were tested to determine their inter-relationships and their relationships with GSR. The direct and total effects of the exogenous factors on the dependent variable are statistically significantly robust. The indirect effects of organizational memberships on GSR through GPA are also statistically significant, but the indirect effects of SNS on GSR through GPA are marginal. Men and women significantly differ only in terms of the total effects of their organizational memberships on GSR. The lack of broad gender variations in the effects of SNS, organizational memberships and GPA on GSR may be linked to the relatively homogenous characteristics and experiences of the university students interviewed. There is a need for more path models to better understand the predictors of GSR in local students. PMID:27247700

Gender Variations in the Effects of Number of Organizational Memberships, Number of Social Networking Sites, and Grade-Point Average on Global Social Responsibility in Filipino University Students.

Science.gov (United States)

Lee, Romeo B; Baring, Rito V; Sta Maria, Madelene A

2016-02-01

The study seeks to estimate gender variations in the direct effects of (a) number of organizational memberships, (b) number of social networking sites (SNS), and (c) grade-point average (GPA) on global social responsibility (GSR); and in the indirect effects of (a) and of (b) through (c) on GSR. Cross-sectional survey data were drawn from questionnaire interviews involving 3,173 Filipino university students. Based on a path model, the three factors were tested to determine their inter-relationships and their relationships with GSR. The direct and total effects of the exogenous factors on the dependent variable are statistically significantly robust. The indirect effects of organizational memberships on GSR through GPA are also statistically significant, but the indirect effects of SNS on GSR through GPA are marginal. Men and women significantly differ only in terms of the total effects of their organizational memberships on GSR. The lack of broad gender variations in the effects of SNS, organizational memberships and GPA on GSR may be linked to the relatively homogenous characteristics and experiences of the university students interviewed. There is a need for more path models to better understand the predictors of GSR in local students.

A REVIEW: OPTICAL CHARACTER RECOGNITION

OpenAIRE

Swati Tomar*1 & Amit Kishore2

2018-01-01

This paper presents detailed review in the field of Optical Character Recognition. Various techniques are determine that have been proposed to realize the center of character recognition in an optical character recognition system. Even though, sufficient studies and papers are describes the techniques for converting textual content from a paper document into machine readable form. Optical character recognition is a process where the computer understands automatically the image of handwritten ...

Orthographic units in the absence of visual processing: Evidence from sublexical structure in braille.

Science.gov (United States)

Fischer-Baum, Simon; Englebretson, Robert

2016-08-01

Reading relies on the recognition of units larger than single letters and smaller than whole words. Previous research has linked sublexical structures in reading to properties of the visual system, specifically on the parallel processing of letters that the visual system enables. But whether the visual system is essential for this to happen, or whether the recognition of sublexical structures may emerge by other means, is an open question. To address this question, we investigate braille, a writing system that relies exclusively on the tactile rather than the visual modality. We provide experimental evidence demonstrating that adult readers of (English) braille are sensitive to sublexical units. Contrary to prior assumptions in the braille research literature, we find strong evidence that braille readers do indeed access sublexical structure, namely the processing of multi-cell contractions as single orthographic units and the recognition of morphemes within morphologically-complex words. Therefore, we conclude that the recognition of sublexical structure is not exclusively tied to the visual system. However, our findings also suggest that there are aspects of morphological processing on which braille and print readers differ, and that these differences may, crucially, be related to reading using the tactile rather than the visual sensory modality. Copyright © 2016 Elsevier B.V. All rights reserved.

The economics of a professional sports club Manchester United

OpenAIRE

Kozlov, Vitalij

2009-01-01

Analysis of the economic situation of Manchester United, recognition of reasons and sources of its indebtedness and evaluation of its necessity. In my thesis I will analyse club revenues and costs, financial contributions of competitions Manchester United takes part in. I will find weaknesses of the club that contribute to financial losses and suggest solutions.

Gang Membership, School Violence, and the Mediating Effects of Risk and Protective Behaviors in California High Schools

Science.gov (United States)

Estrada, Joey Nuñez, Jr.; Gilreath, Tamika D.; Astor, Ron Avi; Benbenishty, Rami

2014-01-01

There is insufficient empirical evidence exploring associations between gang membership and school violence behaviors. Using a sample of 272,863 high school students, this study employs a structural equation model to examine how school risk and protective behaviors and attitudes mediate effects of gang members' involvement with school violence…

Challenging ocular image recognition

Science.gov (United States)

Pauca, V. Paúl; Forkin, Michael; Xu, Xiao; Plemmons, Robert; Ross, Arun A.

2011-06-01

Ocular recognition is a new area of biometric investigation targeted at overcoming the limitations of iris recognition performance in the presence of non-ideal data. There are several advantages for increasing the area beyond the iris, yet there are also key issues that must be addressed such as size of the ocular region, factors affecting performance, and appropriate corpora to study these factors in isolation. In this paper, we explore and identify some of these issues with the goal of better defining parameters for ocular recognition. An empirical study is performed where iris recognition methods are contrasted with texture and point operators on existing iris and face datasets. The experimental results show a dramatic recognition performance gain when additional features are considered in the presence of poor quality iris data, offering strong evidence for extending interest beyond the iris. The experiments also highlight the need for the direct collection of additional ocular imagery.

Molecular recognition at methyl methacrylate/n-butyl acrylate (MMA/nBA) monomer unit boundaries of phospholipids at p-MMA/nBA copolymer surfaces.

Science.gov (United States)

Yu, Min; Urban, Marek W; Sheng, Yinghong; Leszczynski, Jerzy

2008-09-16

Lipid structural features and their interactions with proteins provide a useful vehicle for further advances in membrane proteins research. To mimic one of potential lipid-protein interactions we synthesized poly(methyl methacrylate/ n-butyl acrylate) (p-MMA/nBA) colloidal particles that were stabilized by phospholipid (PLs). Upon the particle coalescence, PL stratification resulted in the formation of surface localized ionic clusters (SLICs). These entities are capable of recognizing MMA/nBA monomer interfaces along the p-MMA/nBA copolymer backbone and form crystalline SLICs at the monomer interface. By utilizing attenuated total reflectance Fourier transform infrared (ATR FT-IR) spectroscopy and selected area electron diffraction (SAD) combined with ab initio calculations, studies were conducted that identified the origin of SLICs as well as their structural features formed on the surface of p-MMA/nBA copolymer films stabilized by 1,2-dilauroyl-sn-glycero-3-phosphocholine (DLPC) PL. Specific entities responsible for SLIC formation are selective noncovalent bonds of anionic phosphate and cationic quaternary ammonium segments of DLPC that interact with two neighboring carbonyl groups of nBA and MMA monomers of the p-MMA/nBA polymer backbone. To the best of our knowledge this is the first example of molecular recognition facilitated by coalescence of copolymer colloidal particles and the ability of PLs to form SLICs at the boundaries of the neighboring MMA and nBA monomer units of the p-MMA/nBA chain. The dominating noncovalent bonds responsible for the molecular recognition is a combination of H-bonding and electrostatic interactions.

Neural correlates of auditory recognition memory in primate lateral prefrontal cortex.

Science.gov (United States)

Plakke, B; Ng, C-W; Poremba, A

2013-08-06

The neural underpinnings of working and recognition memory have traditionally been studied in the visual domain and these studies pinpoint the lateral prefrontal cortex (lPFC) as a primary region for visual memory processing (Miller et al., 1996; Ranganath et al., 2004; Kennerley and Wallis, 2009). Herein, we utilize single-unit recordings for the same region in monkeys (Macaca mulatta) but investigate a second modality examining auditory working and recognition memory during delayed matching-to-sample (DMS) performance. A large portion of neurons in the dorsal and ventral banks of the principal sulcus (area 46, 46/9) show DMS event-related activity to one or more of the following task events: auditory cues, memory delay, decision wait time, response, and/or reward portions. Approximately 50% of the neurons show evidence of auditory-evoked activity during the task and population activity demonstrated encoding of recognition memory in the form of match enhancement. However, neither robust nor sustained delay activity was observed. The neuronal responses during the auditory DMS task are similar in many respects to those found within the visual working memory domain, which supports the hypothesis that the lPFC, particularly area 46, functionally represents key pieces of information for recognition memory inclusive of decision-making, but regardless of modality. Copyright © 2013 IBRO. Published by Elsevier Ltd. All rights reserved.

Fault Detection of Wind Turbines with Uncertain Parameters: A Set-Membership Approach

Directory of Open Access Journals (Sweden)

Thomas Bak

2012-07-01

Full Text Available In this paper a set-membership approach for fault detection of a benchmark wind turbine is proposed. The benchmark represents relevant fault scenarios in the control system, including sensor, actuator and system faults. In addition we also consider parameter uncertainties and uncertainties on the torque coefficient. High noise on the wind speed measurement, nonlinearities in the aerodynamic torque and uncertainties on the parameters make fault detection a challenging problem. We use an effective wind speed estimator to reduce the noise on the wind speed measurements. A set-membership approach is used generate a set that contains all states consistent with the past measurements and the given model of the wind turbine including uncertainties and noise. This set represents all possible states the system can be in if not faulty. If the current measurement is not consistent with this set, a fault is detected. For representation of these sets we use zonotopes and for modeling of uncertainties we use matrix zonotopes, which yields a computationally efficient algorithm. The method is applied to the wind turbine benchmark problem without and with uncertainties. The result demonstrates the effectiveness of the proposed method compared to other proposed methods applied to the same problem. An advantage of the proposed method is that there is no need for threshold design, and it does not produce positive false alarms. In the case where uncertainty on the torque lookup table is introduced, some faults are not detectable. Previous research has not addressed this uncertainty. The method proposed here requires equal or less detection time than previous results.

Face Detection and Recognition

National Research Council Canada - National Science Library

Jain, Anil K

2004-01-01

This report describes research efforts towards developing algorithms for a robust face recognition system to overcome many of the limitations found in existing two-dimensional facial recognition systems...

Forensic Face Recognition: A Survey

NARCIS (Netherlands)

Ali, Tauseef; Spreeuwers, Lieuwe Jan; Veldhuis, Raymond N.J.; Quaglia, Adamo; Epifano, Calogera M.

2012-01-01

The improvements of automatic face recognition during the last 2 decades have disclosed new applications like border control and camera surveillance. A new application field is forensic face recognition. Traditionally, face recognition by human experts has been used in forensics, but now there is a

Voice Recognition in Face-Blind Patients

Science.gov (United States)

Liu, Ran R.; Pancaroglu, Raika; Hills, Charlotte S.; Duchaine, Brad; Barton, Jason J. S.

2016-01-01

Right or bilateral anterior temporal damage can impair face recognition, but whether this is an associative variant of prosopagnosia or part of a multimodal disorder of person recognition is an unsettled question, with implications for cognitive and neuroanatomic models of person recognition. We assessed voice perception and short-term recognition of recently heard voices in 10 subjects with impaired face recognition acquired after cerebral lesions. All 4 subjects with apperceptive prosopagnosia due to lesions limited to fusiform cortex had intact voice discrimination and recognition. One subject with bilateral fusiform and anterior temporal lesions had a combined apperceptive prosopagnosia and apperceptive phonagnosia, the first such described case. Deficits indicating a multimodal syndrome of person recognition were found only in 2 subjects with bilateral anterior temporal lesions. All 3 subjects with right anterior temporal lesions had normal voice perception and recognition, 2 of whom performed normally on perceptual discrimination of faces. This confirms that such lesions can cause a modality-specific associative prosopagnosia. PMID:25349193

Invariant Face recognition Using Infrared Images

International Nuclear Information System (INIS)

Zahran, E.G.

2012-01-01

Over the past few decades, face recognition has become a rapidly growing research topic due to the increasing demands in many applications of our daily life such as airport surveillance, personal identification in law enforcement, surveillance systems, information safety, securing financial transactions, and computer security. The objective of this thesis is to develop a face recognition system capable of recognizing persons with a high recognition capability, low processing time, and under different illumination conditions, and different facial expressions. The thesis presents a study for the performance of the face recognition system using two techniques; the Principal Component Analysis (PCA), and the Zernike Moments (ZM). The performance of the recognition system is evaluated according to several aspects including the recognition rate, and the processing time. Face recognition systems that use visual images are sensitive to variations in the lighting conditions and facial expressions. The performance of these systems may be degraded under poor illumination conditions or for subjects of various skin colors. Several solutions have been proposed to overcome these limitations. One of these solutions is to work in the Infrared (IR) spectrum. IR images have been suggested as an alternative source of information for detection and recognition of faces, when there is little or no control over lighting conditions. This arises from the fact that these images are formed due to thermal emissions from skin, which is an intrinsic property because these emissions depend on the distribution of blood vessels under the skin. On the other hand IR face recognition systems still have limitations with temperature variations and recognition of persons wearing eye glasses. In this thesis we will fuse IR images with visible images to enhance the performance of face recognition systems. Images are fused using the wavelet transform. Simulation results show that the fusion of visible and

End-Stop Exemplar Based Recognition

DEFF Research Database (Denmark)

Olsen, Søren I.

2003-01-01

An approach to exemplar based recognition of visual shapes is presented. The shape information is described by attributed interest points (keys) detected by an end-stop operator. The attributes describe the statistics of lines and edges local to the interest point, the position of neighboring int...... interest points, and (in the training phase) a list of recognition names. Recognition is made by a simple voting procedure. Preliminary experiments indicate that the recognition is robust to noise, small deformations, background clutter and partial occlusion....

Speech Recognition on Mobile Devices

DEFF Research Database (Denmark)

Tan, Zheng-Hua; Lindberg, Børge

2010-01-01

in the mobile context covering motivations, challenges, fundamental techniques and applications. Three ASR architectures are introduced: embedded speech recognition, distributed speech recognition and network speech recognition. Their pros and cons and implementation issues are discussed. Applications within......The enthusiasm of deploying automatic speech recognition (ASR) on mobile devices is driven both by remarkable advances in ASR technology and by the demand for efficient user interfaces on such devices as mobile phones and personal digital assistants (PDAs). This chapter presents an overview of ASR...

Markov Models for Handwriting Recognition

CERN Document Server

Plotz, Thomas

2011-01-01

Since their first inception, automatic reading systems have evolved substantially, yet the recognition of handwriting remains an open research problem due to its substantial variation in appearance. With the introduction of Markovian models to the field, a promising modeling and recognition paradigm was established for automatic handwriting recognition. However, no standard procedures for building Markov model-based recognizers have yet been established. This text provides a comprehensive overview of the application of Markov models in the field of handwriting recognition, covering both hidden

Turkey’s Population Dynamics As A Candidate Country For EU Membership

Directory of Open Access Journals (Sweden)

Harun Uçak

2011-01-01

Full Text Available Literally, it has been accepted that one of the major obstacles to Turkey’s EU membership is in population term. There has not been any enlargement process as large as Turkey’s population as a single state in EU history before. The enlargement in 2004 which includes 10 states involved 74 million people as whole member states while Turkey’s population is 72 million inhabitants in 2007 data which is only lower than Germany’s population in all EU member states. Thus, Turkey's accession would be different from previous enlargements because of the combined impact of high population. This study compares the population dynamics, working conditions, minimum wage rates and main macroeconomic indicators between Turkey and EU member states. Turkey has young generations compared to EU countries. In the comparison of age groups proportion in total population, 0-19 age group %21,9 in EU 27 and %36,5 in Turkey, 20-39 age group is %28 in EU 27 and %34,3 in Turkey, 40-59 age group is %27,9 in EU and %20,9 in Turkey, 60 and above age group is %22,1 in EU and %9,5 in Turkey. Thus, population dynamics of Turkey could make a contribution to offsetting the ageing of EU 27 societies if the membership would occur in the future. However, minimum wage rates in Turkey are lower than many EU member states but generally higher than EU member states located in Central and Eastern Europe. Thus, immigration possibilities from Turkey can be expected to Western European Countries, but not the same direction to Central and Eastern Europe Countries. Furthermore, the process in macroeconomic indicators will be a determinant in immigration expectations while Turkey’s GDP has been grown faster than EU level recently.

Sociodemographic predictors of latent class membership of problematic and disordered gamblers

Directory of Open Access Journals (Sweden)

Richard J.E. James

2016-06-01

Full Text Available This paper reports a series of analyses examining the predictors of gambling subtypes identified from a latent class analysis of problem gambling assessment data, pooled from four health and gambling surveys conducted in Britain between 2007 and 2012. Previous analyses have indicated that gambling assessments have a consistent three class structure showing quantitative and potentially qualitative differences. Bringing this data together is useful for studying more severe problem gamblers, where the small number of respondents has been a chronic limitation of gambling prevalence research. Predictors were drawn from sociodemographic indicators and engagement with other legal addictive behaviours, namely smoking and alcohol consumption. The pooled data was entered into a multinomial logistic regression model in which class membership was regressed along a series of demographic variables and survey year, based on previous analyses of gambling prevalence data. The results identified multiple demographic differences (age, general health, SES, being single, membership of ethnic minority groups between the non-problem and two classes endorsing some problem gambling indicators. Although these two groups tended to share a sociodemographic profile, the odds of being male, British Asian and a smoker increased between the three groups in line with problem gambling severity. Being widowed was also found to be associated with the most severe gambling class. A number of associations were also observed with other addictive behaviours. However these should be taken as indicative as these were limited subsamples of a single dataset. These findings identify specific groups in which gambling problems are more prevalent, and highlight the importance of the interaction between acute and determinant aspects of impulsivity, suggesting that a more complex account of impulsivity should be considered than is currently present in the gambling literature.

Examining ERP correlates of recognition memory: Evidence of accurate source recognition without recollection

Science.gov (United States)

Addante, Richard, J.; Ranganath, Charan; Yonelinas, Andrew, P.

2012-01-01

Recollection is typically associated with high recognition confidence and accurate source memory. However, subjects sometimes make accurate source memory judgments even for items that are not confidently recognized, and it is not known whether these responses are based on recollection or some other memory process. In the current study, we measured event related potentials (ERPs) while subjects made item and source memory confidence judgments in order to determine whether recollection supported accurate source recognition responses for items that were not confidently recognized. In line with previous studies, we found that recognition memory was associated with two ERP effects: an early on-setting FN400 effect, and a later parietal old-new effect [Late Positive Component (LPC)], which have been associated with familiarity and recollection, respectively. The FN400 increased gradually with item recognition confidence, whereas the LPC was only observed for highly confident recognition responses. The LPC was also related to source accuracy, but only for items that had received a high confidence item recognition response; accurate source judgments to items that were less confidently recognized did not exhibit the typical ERP correlate of recollection or familiarity, but rather showed a late, broadly distributed negative ERP difference. The results indicate that accurate source judgments of episodic context can occur even when recollection fails. PMID:22548808

Evaluating music emotion recognition:Lessons from music genre recognition?

OpenAIRE

Sturm, Bob L.

2013-01-01

A fundamental problem with nearly all work in music genre recognition (MGR)is that evaluation lacks validity with respect to the principal goals of MGR. This problem also occurs in the evaluation of music emotion recognition (MER). Standard approaches to evaluation, though easy to implement, do not reliably differentiate between recognizing genre or emotion from music, or by virtue of confounding factors in signals (e.g., equalization). We demonstrate such problems for evaluating an MER syste...

The effect of gender on research staff success in life sciences in the Spanish National Research Council (CSIC)

OpenAIRE

Mauleón, Elba; Bordons, María; Oppenheim, Charles

2012-01-01

The study of journal authorship and editorial board membership from a gender perspective is addressed in this paper following international recommendations about the need to obtain science and technology indicators by gender. Authorship informs us about active scientists who contribute to the production and dissemination of new knowledge through journal articles, while editorial board membership tells us about leading scientists who have obtained scientific recognition within the scientific c...

Word Recognition in Auditory Cortex

Science.gov (United States)

DeWitt, Iain D. J.

2013-01-01

Although spoken word recognition is more fundamental to human communication than text recognition, knowledge of word-processing in auditory cortex is comparatively impoverished. This dissertation synthesizes current models of auditory cortex, models of cortical pattern recognition, models of single-word reading, results in phonetics and results in…

[Comparative studies of face recognition].

Science.gov (United States)

Kawai, Nobuyuki

2012-07-01

Every human being is proficient in face recognition. However, the reason for and the manner in which humans have attained such an ability remain unknown. These questions can be best answered-through comparative studies of face recognition in non-human animals. Studies in both primates and non-primates show that not only primates, but also non-primates possess the ability to extract information from their conspecifics and from human experimenters. Neural specialization for face recognition is shared with mammals in distant taxa, suggesting that face recognition evolved earlier than the emergence of mammals. A recent study indicated that a social insect, the golden paper wasp, can distinguish their conspecific faces, whereas a closely related species, which has a less complex social lifestyle with just one queen ruling a nest of underlings, did not show strong face recognition for their conspecifics. Social complexity and the need to differentiate between one another likely led humans to evolve their face recognition abilities.

A Motion-Adaptive Deinterlacer via Hybrid Motion Detection and Edge-Pattern Recognition

Directory of Open Access Journals (Sweden)

He-Yuan Lin

2008-03-01

Full Text Available A novel motion-adaptive deinterlacing algorithm with edge-pattern recognition and hybrid motion detection is introduced. The great variety of video contents makes the processing of assorted motion, edges, textures, and the combination of them very difficult with a single algorithm. The edge-pattern recognition algorithm introduced in this paper exhibits the flexibility in processing both textures and edges which need to be separately accomplished by line average and edge-based line average before. Moreover, predicting the neighboring pixels for pattern analysis and interpolation further enhances the adaptability of the edge-pattern recognition unit when motion detection is incorporated. Our hybrid motion detection features accurate detection of fast and slow motion in interlaced video and also the motion with edges. Using only three fields for detection also renders higher temporal correlation for interpolation. The better performance of our deinterlacing algorithm with higher content-adaptability and less memory cost than the state-of-the-art 4-field motion detection algorithms can be seen from the subjective and objective experimental results of the CIF and PAL video sequences.

A Motion-Adaptive Deinterlacer via Hybrid Motion Detection and Edge-Pattern Recognition

Directory of Open Access Journals (Sweden)

Li Hsin-Te

2008-01-01

Full Text Available Abstract A novel motion-adaptive deinterlacing algorithm with edge-pattern recognition and hybrid motion detection is introduced. The great variety of video contents makes the processing of assorted motion, edges, textures, and the combination of them very difficult with a single algorithm. The edge-pattern recognition algorithm introduced in this paper exhibits the flexibility in processing both textures and edges which need to be separately accomplished by line average and edge-based line average before. Moreover, predicting the neighboring pixels for pattern analysis and interpolation further enhances the adaptability of the edge-pattern recognition unit when motion detection is incorporated. Our hybrid motion detection features accurate detection of fast and slow motion in interlaced video and also the motion with edges. Using only three fields for detection also renders higher temporal correlation for interpolation. The better performance of our deinterlacing algorithm with higher content-adaptability and less memory cost than the state-of-the-art 4-field motion detection algorithms can be seen from the subjective and objective experimental results of the CIF and PAL video sequences.

Is having similar eye movement patterns during face learning and recognition beneficial for recognition performance? Evidence from hidden Markov modeling.

Science.gov (United States)

Chuk, Tim; Chan, Antoni B; Hsiao, Janet H

2017-12-01

The hidden Markov model (HMM)-based approach for eye movement analysis is able to reflect individual differences in both spatial and temporal aspects of eye movements. Here we used this approach to understand the relationship between eye movements during face learning and recognition, and its association with recognition performance. We discovered holistic (i.e., mainly looking at the face center) and analytic (i.e., specifically looking at the two eyes in addition to the face center) patterns during both learning and recognition. Although for both learning and recognition, participants who adopted analytic patterns had better recognition performance than those with holistic patterns, a significant positive correlation between the likelihood of participants' patterns being classified as analytic and their recognition performance was only observed during recognition. Significantly more participants adopted holistic patterns during learning than recognition. Interestingly, about 40% of the participants used different patterns between learning and recognition, and among them 90% switched their patterns from holistic at learning to analytic at recognition. In contrast to the scan path theory, which posits that eye movements during learning have to be recapitulated during recognition for the recognition to be successful, participants who used the same or different patterns during learning and recognition did not differ in recognition performance. The similarity between their learning and recognition eye movement patterns also did not correlate with their recognition performance. These findings suggested that perceptuomotor memory elicited by eye movement patterns during learning does not play an important role in recognition. In contrast, the retrieval of diagnostic information for recognition, such as the eyes for face recognition, is a better predictor for recognition performance. Copyright © 2017 Elsevier Ltd. All rights reserved.

Multilayer Networks of Self-Interested Adaptive Units.

Science.gov (United States)

1987-07-01

used the magnitude of the hidden unit’s single output weight as an indication of influence, though, as Klopf and Gose 1261 showed, other measures might...Rochester, NY, 1983. 125] M. I. Jordan. Personal communication. 1261 A. H. Klopf and E. Gose . An evolutionary pattern recognition network. IEEE

Dignity, Health, and Membership: Who Counts as One of Us?

Science.gov (United States)

Pilkington, Bryan C.

2016-01-01

This essay serves as an introduction to this issue of the Journal of Medicine and Philosophy. The five articles in this issue address a range of topics from the human embryo and substantial change to conceptions of disability. They engage claims of moral status, defense of our humanity, and argue for an accurate and just classification of persons of different communities within a healthcare system. I argue in this essay that though their concerns are diverse, the authors in this issue help to answer a common question: “Who counts as one of us?” Reading these articles through the lens of membership and the themes of dignity illustrates this commonality and bears fruit for further reflection on many of the challenging issues addressed in the subsequent papers. PMID:26868673

Visual Recognition Memory across Contexts

Science.gov (United States)

Jones, Emily J. H.; Pascalis, Olivier; Eacott, Madeline J.; Herbert, Jane S.

2011-01-01

In two experiments, we investigated the development of representational flexibility in visual recognition memory during infancy using the Visual Paired Comparison (VPC) task. In Experiment 1, 6- and 9-month-old infants exhibited recognition when familiarization and test occurred in the same room, but showed no evidence of recognition when…

Design alternatives for process group membership and multicast

Science.gov (United States)

Birman, Kenneth P.; Cooper, Robert; Gleeson, Barry

1991-01-01

Process groups are a natural tool for distributed programming, and are increasingly important in distributed computing environments. However, there is little agreement on the most appropriate semantics for process group membership and group communication. These issues are of special importance in the Isis system, a toolkit for distributed programming. Isis supports several styles of process group, and a collection of group communication protocols spanning a range of atomicity and ordering properties. This flexibility makes Isis adaptable to a variety of applications, but is also a source of complexity that limits performance. This paper reports on a new architecture that arose from an effort to simplify Isis process group semantics. Our findings include a refined notion of how the clients of a group should be treated, what the properties of a multicast primitive should be when systems contain large numbers of overlapping groups, and a new construct called the casuality domain. As an illustration, we apply the architecture to the problem of converting processes into fault-tolerant process groups in a manner that is 'transparent' to other processes in the system.

Logarithmic r-θ mapping for hybrid optical neural network filter for multiple objects recognition within cluttered scenes

Science.gov (United States)

Kypraios, Ioannis; Young, Rupert C. D.; Chatwin, Chris R.; Birch, Phil M.

2009-04-01

θThe window unit in the design of the complex logarithmic r-θ mapping for hybrid optical neural network filter can allow multiple objects of the same class to be detected within the input image. Additionally, the architecture of the neural network unit of the complex logarithmic r-θ mapping for hybrid optical neural network filter becomes attractive for accommodating the recognition of multiple objects of different classes within the input image by modifying the output layer of the unit. We test the overall filter for multiple objects of the same and of different classes' recognition within cluttered input images and video sequences of cluttered scenes. Logarithmic r-θ mapping for hybrid optical neural network filter is shown to exhibit with a single pass over the input data simultaneously in-plane rotation, out-of-plane rotation, scale, log r-θ map translation and shift invariance, and good clutter tolerance by recognizing correctly the different objects within the cluttered scenes. We record in our results additional extracted information from the cluttered scenes about the objects' relative position, scale and in-plane rotation.

Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features, bypassing the phoneme as recognition unit.

Science.gov (United States)

Arnold, Denis; Tomaschek, Fabian; Sering, Konstantin; Lopez, Florence; Baayen, R Harald

2017-01-01

Sound units play a pivotal role in cognitive models of auditory comprehension. The general consensus is that during perception listeners break down speech into auditory words and subsequently phones. Indeed, cognitive speech recognition is typically taken to be computationally intractable without phones. Here we present a computational model trained on 20 hours of conversational speech that recognizes word meanings within the range of human performance (model 25%, native speakers 20-44%), without making use of phone or word form representations. Our model also generates successfully predictions about the speed and accuracy of human auditory comprehension. At the heart of the model is a 'wide' yet sparse two-layer artificial neural network with some hundred thousand input units representing summaries of changes in acoustic frequency bands, and proxies for lexical meanings as output units. We believe that our model holds promise for resolving longstanding theoretical problems surrounding the notion of the phone in linguistic theory.

What factors facilitate the engagement with flipped classrooms used in the preparation for postgraduate medical membership examinations?

Directory of Open Access Journals (Sweden)

Jesurasa A

2017-06-01

Full Text Available Amrita Jesurasa, Kelly Mackenzie, Hannah Jordan, Elizabeth C Goyder School of Health and Related Research (ScHARR, University of Sheffield, Regent Court, Sheffield, UK Background: The “flipped classroom,” a pedagogical model where typical lecture and homework elements are reversed, is being advocated in medical education to support the teaching of a large curriculum. However, research into the use of this model in postgraduate medical education, which requires the application of acquired knowledge, is limited. The aim of this study was to explore the barriers and facilitators to engagement with the flipped classroom model in preparation for the written element of postgraduate membership examinations. Methods: Three focus groups (n=14 were held between February and June 2016. Participants were drawn from a membership examination preparation course, run by the University of Sheffield. Two of the groups (n=10 involved “students” (public health registrars while the other focus group (n=4 was held with “tutors” (experienced registrars and consultants. The focus groups were audiorecorded and transcribed verbatim. Transcripts were thematically analyzed by using both predetermined and emergent themes. Results: Key themes that emerged from the data included variation in learning and teaching styles of individuals as well as the feasibility and flexibility of the overall course design. However, management of students’ expectations was found to be the fundamental factor, which underpinned the engagement. Conclusion: The complex interaction of factors affecting engagement in this study highlights the need to consider the appropriateness of the flipped classroom model. However, this must be balanced by the potential benefits of the approach for delivering a large curriculum. Recognizing the central importance of managing expectations at the outset would be useful when considering this model in postgraduate medical education. Keywords

Non Audio-Video gesture recognition system

DEFF Research Database (Denmark)

Craciunescu, Razvan; Mihovska, Albena Dimitrova; Kyriazakos, Sofoklis

2016-01-01

Gesture recognition is a topic in computer science and language technology with the goal of interpreting human gestures via mathematical algorithms. Gestures can originate from any bodily motion or state but commonly originate from the face or hand. Current research focus includes on the emotion...... recognition from the face and hand gesture recognition. Gesture recognition enables humans to communicate with the machine and interact naturally without any mechanical devices. This paper investigates the possibility to use non-audio/video sensors in order to design a low-cost gesture recognition device...

Associations between membership of farm assurance and organic certification schemes and compliance with animal welfare legislation.

Science.gov (United States)

KilBride, A L; Mason, S A; Honeyman, P C; Pritchard, D G; Hepple, S; Green, L E

2012-02-11

Animal health (AH) defines the outcome of their inspections of livestock holdings as full compliance with the legislation and welfare code (A), compliance with the legislation but not the code (B), non-compliance with legislation but no pain, distress or suffering obvious in the animals (C) or evidence of unnecessary pain or unnecessary distress (D). The aim of the present study was to investigate whether membership of farm assurance or organic certification schemes was associated with compliance with animal welfare legislation as inspected by AH. Participating schemes provided details of their members, past and present, and these records were matched against inspection data from AH. Multivariable multilevel logistic binomial models were built to investigate the association between compliance with legislation and membership of a farm assurance/organic scheme. The percentage of inspections coded A, B, C or D was 37.1, 35.6, 20.2 and 7.1 per cent, respectively. Once adjusted for year, country, enterprise, herd size and reason for inspection, there was a pattern of significantly reduced risk of codes C and D compared with A and B, in certified enterprises compared with the enterprises that were not known to be certified in all species.

Comparing Face Detection and Recognition Techniques

OpenAIRE

Korra, Jyothi

2016-01-01

This paper implements and compares different techniques for face detection and recognition. One is find where the face is located in the images that is face detection and second is face recognition that is identifying the person. We study three techniques in this paper: Face detection using self organizing map (SOM), Face recognition by projection and nearest neighbor and Face recognition using SVM.

Exemplar Based Recognition of Visual Shapes

DEFF Research Database (Denmark)

Olsen, Søren I.

2005-01-01

This paper presents an approach of visual shape recognition based on exemplars of attributed keypoints. Training is performed by storing exemplars of keypoints detected in labeled training images. Recognition is made by keypoint matching and voting according to the labels for the matched keypoint....... The matching is insensitive to rotations, limited scalings and small deformations. The recognition is robust to noise, background clutter and partial occlusion. Recognition is possible from few training images and improve with the number of training images.......This paper presents an approach of visual shape recognition based on exemplars of attributed keypoints. Training is performed by storing exemplars of keypoints detected in labeled training images. Recognition is made by keypoint matching and voting according to the labels for the matched keypoints...

Superficial Priming in Episodic Recognition

Science.gov (United States)

Dopkins, Stephen; Sargent, Jesse; Ngo, Catherine T.

2010-01-01

We explored the effect of superficial priming in episodic recognition and found it to be different from the effect of semantic priming in episodic recognition. Participants made recognition judgments to pairs of items, with each pair consisting of a prime item and a test item. Correct positive responses to the test item were impeded if the prime…

Specification for projects of radiogeologic recognition

International Nuclear Information System (INIS)

1979-01-01

This instruction is a guidance to achievement of radiogeologic recognition projects. The radiogeologic recognition is a prospecting method that join the classic geologic recognition with measures of rock radioactivity. (C.M.)

Why recognition is rational

Directory of Open Access Journals (Sweden)

Clintin P. Davis-Stober

2010-07-01

Full Text Available The Recognition Heuristic (Gigerenzer and Goldstein, 1996; Goldstein and Gigerenzer, 2002 makes the counter-intuitive prediction that a decision maker utilizing less information may do as well as, or outperform, an idealized decision maker utilizing more information. We lay a theoretical foundation for the use of single-variable heuristics such as the Recognition Heuristic as an optimal decision strategy within a linear modeling framework. We identify conditions under which over-weighting a single predictor is a mini-max strategy among a class of a priori chosen weights based on decision heuristics with respect to a measure of statistical lack of fit we call ``risk''. These strategies, in turn, outperform standard multiple regression as long as the amount of data available is limited. We also show that, under related conditions, weighting only one variable and ignoring all others produces the same risk as ignoring the single variable and weighting all others. This approach has the advantage of generalizing beyond the original environment of the Recognition Heuristic to situations with more than two choice options, binary or continuous representations of recognition, and to other single variable heuristics. We analyze the structure of data used in some prior recognition tasks and find that it matches the sufficient conditions for optimality in our results. Rather than being a poor or adequate substitute for a compensatory model, the Recognition Heuristic closely approximates an optimal strategy when a decision maker has finite data about the world.

Infant visual attention and object recognition.

Science.gov (United States)

Reynolds, Greg D

2015-05-15

This paper explores the role visual attention plays in the recognition of objects in infancy. Research and theory on the development of infant attention and recognition memory are reviewed in three major sections. The first section reviews some of the major findings and theory emerging from a rich tradition of behavioral research utilizing preferential looking tasks to examine visual attention and recognition memory in infancy. The second section examines research utilizing neural measures of attention and object recognition in infancy as well as research on brain-behavior relations in the early development of attention and recognition memory. The third section addresses potential areas of the brain involved in infant object recognition and visual attention. An integrated synthesis of some of the existing models of the development of visual attention is presented which may account for the observed changes in behavioral and neural measures of visual attention and object recognition that occur across infancy. Copyright © 2015 Elsevier B.V. All rights reserved.

The influence of group membership on the neural correlates involved in empathy.

Directory of Open Access Journals (Sweden)

Robert eEres

2013-05-01

Full Text Available Empathy involves affective, cognitive and emotion regulative components. The affective component relies on the sharing of emotional states with others and is discussed here in relation to the human Mirror System. On the other hand, the cognitive component is related to understanding the mental states of others and draws upon literature surrounding Theory of Mind. The final component, emotion regulation depends on executive function and is responsible for managing the degree to which explicit empathic responses are made. This mini-review provides information on how each of the three components is individually affected by group membership and how this leads to in-group bias.

Recognition of deterministic ETOL languages in logarithmic space

DEFF Research Database (Denmark)

Jones, Neil D.; Skyum, Sven

1977-01-01

It is shown that if G is a deterministic ETOL system, there is a nondeterministic log space algorithm to determine membership in L(G). Consequently, every deterministic ETOL language is recognizable in polynomial time. As a corollary, all context-free languages of finite index, and all Indian...

Any of them will do: In-group identification, out-group entitativity, and gang membership as predictors of group-based retribution.

Science.gov (United States)

Vasquez, Eduardo A; Wenborne, Lisa; Peers, Madeline; Alleyne, Emma; Ellis, Kirsty

2015-05-01

In non-gang populations, the degree of identification with an in-group and perceptions of out-group entitativity, the perception of an out-group as bonded or unified, are important contributors to group-based aggression or vicarious retribution. The link between these factors and group-based aggression, however, has not been examined in the context of street gangs. The current study assessed the relationship among in-group identification, perceptions of out-group entitativity, and the willingness to retaliate against members of rival groups who did not themselves attack the in-group among juvenile gang and non-gang members in London. Our results showed the predicted membership (gang/non-gang) × in-group identification × entitativity interaction. Decomposition of the three-way interaction by membership revealed a significant identification × entitativity interaction for gang, but not for non-gang members. More specifically, gang members who identify more strongly with their gang and perceived a rival group as high on entitativity were more willing to retaliate against any of them. In addition, entitativity was a significant predictor of group-based aggression after controlling for gender, in-group identification, and gang membership. Our results are consistent with socio-psychological theories of group-based aggression and support the proposal that such theories are applicable for understanding gang-related violence. Aggr. Behav. 41:242-252, 2015. © 2015 Wiley Periodicals, Inc. © 2015 Wiley Periodicals, Inc.

Cooperative membership and farmers’ choice of marketing channels – Evidence from apple farmers in Shaanxi and Shandong Provinces, China

NARCIS (Netherlands)

Hao, Jinghui; Bijman, Jos; Gardebroek, Cornelis; Heerink, Nico; Heijman, Wim; Huo, Xuexi

2018-01-01

Cooperatives are established to improve farmers' production conditions, to increase their bargaining power and to enable them to benefit from modern value chains. In China, farmers are members of a cooperative for multiple reasons. Little is known on whether and how cooperative membership affects

Hemispheric lateralization of linguistic prosody recognition in comparison to speech and speaker recognition.

Science.gov (United States)

Kreitewolf, Jens; Friederici, Angela D; von Kriegstein, Katharina

2014-11-15

Hemispheric specialization for linguistic prosody is a controversial issue. While it is commonly assumed that linguistic prosody and emotional prosody are preferentially processed in the right hemisphere, neuropsychological work directly comparing processes of linguistic prosody and emotional prosody suggests a predominant role of the left hemisphere for linguistic prosody processing. Here, we used two functional magnetic resonance imaging (fMRI) experiments to clarify the role of left and right hemispheres in the neural processing of linguistic prosody. In the first experiment, we sought to confirm previous findings showing that linguistic prosody processing compared to other speech-related processes predominantly involves the right hemisphere. Unlike previous studies, we controlled for stimulus influences by employing a prosody and speech task using the same speech material. The second experiment was designed to investigate whether a left-hemispheric involvement in linguistic prosody processing is specific to contrasts between linguistic prosody and emotional prosody or whether it also occurs when linguistic prosody is contrasted against other non-linguistic processes (i.e., speaker recognition). Prosody and speaker tasks were performed on the same stimulus material. In both experiments, linguistic prosody processing was associated with activity in temporal, frontal, parietal and cerebellar regions. Activation in temporo-frontal regions showed differential lateralization depending on whether the control task required recognition of speech or speaker: recognition of linguistic prosody predominantly involved right temporo-frontal areas when it was contrasted against speech recognition; when contrasted against speaker recognition, recognition of linguistic prosody predominantly involved left temporo-frontal areas. The results show that linguistic prosody processing involves functions of both hemispheres and suggest that recognition of linguistic prosody is based on

Non-intrusive gesture recognition system combining with face detection based on Hidden Markov Model

Science.gov (United States)

Jin, Jing; Wang, Yuanqing; Xu, Liujing; Cao, Liqun; Han, Lei; Zhou, Biye; Li, Minggao

2014-11-01

A non-intrusive gesture recognition human-machine interaction system is proposed in this paper. In order to solve the hand positioning problem which is a difficulty in current algorithms, face detection is used for the pre-processing to narrow the search area and find user's hand quickly and accurately. Hidden Markov Model (HMM) is used for gesture recognition. A certain number of basic gesture units are trained as HMM models. At the same time, an improved 8-direction feature vector is proposed and used to quantify characteristics in order to improve the detection accuracy. The proposed system can be applied in interaction equipments without special training for users, such as household interactive television

New methods in iris recognition.

Science.gov (United States)

Daugman, John

2007-10-01

This paper presents the following four advances in iris recognition: 1) more disciplined methods for detecting and faithfully modeling the iris inner and outer boundaries with active contours, leading to more flexible embedded coordinate systems; 2) Fourier-based methods for solving problems in iris trigonometry and projective geometry, allowing off-axis gaze to be handled by detecting it and "rotating" the eye into orthographic perspective; 3) statistical inference methods for detecting and excluding eyelashes; and 4) exploration of score normalizations, depending on the amount of iris data that is available in images and the required scale of database search. Statistical results are presented based on 200 billion iris cross-comparisons that were generated from 632500 irises in the United Arab Emirates database to analyze the normalization issues raised in different regions of receiver operating characteristic curves.

Viewpoint Manifolds for Action Recognition

Directory of Open Access Journals (Sweden)

Souvenir Richard

2009-01-01

Full Text Available Abstract Action recognition from video is a problem that has many important applications to human motion analysis. In real-world settings, the viewpoint of the camera cannot always be fixed relative to the subject, so view-invariant action recognition methods are needed. Previous view-invariant methods use multiple cameras in both the training and testing phases of action recognition or require storing many examples of a single action from multiple viewpoints. In this paper, we present a framework for learning a compact representation of primitive actions (e.g., walk, punch, kick, sit that can be used for video obtained from a single camera for simultaneous action recognition and viewpoint estimation. Using our method, which models the low-dimensional structure of these actions relative to viewpoint, we show recognition rates on a publicly available dataset previously only achieved using multiple simultaneous views.

Genetic determinants of mate recognition in Brachionus manjavacas (Rotifera).

Science.gov (United States)

Snell, Terry W; Shearer, Tonya L; Smith, Hilary A; Kubanek, Julia; Gribble, Kristin E; Welch, David B Mark

2009-09-09

Mate choice is of central importance to most animals, influencing population structure, speciation, and ultimately the survival of a species. Mating behavior of male brachionid rotifers is triggered by the product of a chemosensory gene, a glycoprotein on the body surface of females called the mate recognition pheromone. The mate recognition pheromone has been biochemically characterized, but little was known about the gene(s). We describe the isolation and characterization of the mate recognition pheromone gene through protein purification, N-terminal amino acid sequence determination, identification of the mate recognition pheromone gene from a cDNA library, sequencing, and RNAi knockdown to confirm the functional role of the mate recognition pheromone gene in rotifer mating. A 29 kD protein capable of eliciting rotifer male circling was isolated by high-performance liquid chromatography. Two transcript types containing the N-terminal sequence were identified in a cDNA library; further characterization by screening a genomic library and by polymerase chain reaction revealed two genes belonging to each type. Each gene begins with a signal peptide region followed by nearly perfect repeats of an 87 to 92 codon motif with no codons between repeats and the final motif prematurely terminated by the stop codon. The two Type A genes contain four and seven repeats and the two Type B genes contain three and five repeats, respectively. Only the Type B gene with three repeats encodes a peptide with a molecular weight of 29 kD. Each repeat of the Type B gene products contains three asparagines as potential sites for N-glycosylation; there are no asparagines in the Type A genes. RNAi with Type A double-stranded RNA did not result in less circling than in the phosphate-buffered saline control, but transfection with Type B double-stranded RNA significantly reduced male circling by 17%. The very low divergence between repeat units, even at synonymous positions, suggests that the

Physiological arousal in processing recognition information

Directory of Open Access Journals (Sweden)

Guy Hochman

2010-07-01

Full Text Available The recognition heuristic (RH; Goldstein and Gigerenzer, 2002 suggests that, when applicable, probabilistic inferences are based on a noncompensatory examination of whether an object is recognized or not. The overall findings on the processes that underlie this fast and frugal heuristic are somewhat mixed, and many studies have expressed the need for considering a more compensatory integration of recognition information. Regardless of the mechanism involved, it is clear that recognition has a strong influence on choices, and this finding might be explained by the fact that recognition cues arouse affect and thus receive more attention than cognitive cues. To test this assumption, we investigated whether recognition results in a direct affective signal by measuring physiological arousal (i.e., peripheral arterial tone in the established city-size task. We found that recognition of cities does not directly result in increased physiological arousal. Moreover, the results show that physiological arousal increased with increasing inconsistency between recognition information and additional cue information. These findings support predictions derived by a compensatory Parallel Constraint Satisfaction model rather than predictions of noncompensatory models. Additional results concerning confidence ratings, response times, and choice proportions further demonstrated that recognition information and other cognitive cues are integrated in a compensatory manner.

Page Recognition: Quantum Leap In Recognition Technology

Science.gov (United States)

Miller, Larry

1989-07-01

No milestone has proven as elusive as the always-approaching "year of the LAN," but the "year of the scanner" might claim the silver medal. Desktop scanners have been around almost as long as personal computers. And everyone thinks they are used for obvious desktop-publishing and business tasks like scanning business documents, magazine articles and other pages, and translating those words into files your computer understands. But, until now, the reality fell far short of the promise. Because it's true that scanners deliver an accurate image of the page to your computer, but the software to recognize this text has been woefully disappointing. Old optical-character recognition (OCR) software recognized such a limited range of pages as to be virtually useless to real users. (For example, one OCR vendor specified 12-point Courier font from an IBM Selectric typewriter: the same font in 10-point, or from a Diablo printer, was unrecognizable!) Computer dealers have told me the chasm between OCR expectations and reality is so broad and deep that nine out of ten prospects leave their stores in disgust when they learn the limitations. And this is a very important, very unfortunate gap. Because the promise of recognition -- what people want it to do -- carries with it tremendous improvements in our productivity and ability to get tons of written documents into our computers where we can do real work with it. The good news is that a revolutionary new development effort has led to the new technology of "page recognition," which actually does deliver the promise we've always wanted from OCR. I'm sure every reader appreciates the breakthrough represented by the laser printer and page-makeup software, a combination so powerful it created new reasons for buying a computer. A similar breakthrough is happening right now in page recognition: the Macintosh (and, I must admit, other personal computers) equipped with a moderately priced scanner and OmniPage software (from Caere

Non-native Listeners’ Recognition of High-Variability Speech Using PRESTO

Science.gov (United States)

Tamati, Terrin N.; Pisoni, David B.

2015-01-01

Background Natural variability in speech is a significant challenge to robust successful spoken word recognition. In everyday listening environments, listeners must quickly adapt and adjust to multiple sources of variability in both the signal and listening environments. High-variability speech may be particularly difficult to understand for non-native listeners, who have less experience with the second language (L2) phonological system and less detailed knowledge of sociolinguistic variation of the L2. Purpose The purpose of this study was to investigate the effects of high-variability sentences on non-native speech recognition and to explore the underlying sources of individual differences in speech recognition abilities of non-native listeners. Research Design Participants completed two sentence recognition tasks involving high-variability and low-variability sentences. They also completed a battery of behavioral tasks and self-report questionnaires designed to assess their indexical processing skills, vocabulary knowledge, and several core neurocognitive abilities. Study Sample Native speakers of Mandarin (n = 25) living in the United States recruited from the Indiana University community participated in the current study. A native comparison group consisted of scores obtained from native speakers of English (n = 21) in the Indiana University community taken from an earlier study. Data Collection and Analysis Speech recognition in high-variability listening conditions was assessed with a sentence recognition task using sentences from PRESTO (Perceptually Robust English Sentence Test Open-Set) mixed in 6-talker multitalker babble. Speech recognition in low-variability listening conditions was assessed using sentences from HINT (Hearing In Noise Test) mixed in 6-talker multitalker babble. Indexical processing skills were measured using a talker discrimination task, a gender discrimination task, and a forced-choice regional dialect categorization task. Vocabulary

Sibling Rivalry in Myxococcus xanthus Is Mediated by Kin Recognition and a Polyploid Prophage.

Science.gov (United States)

Dey, Arup; Vassallo, Christopher N; Conklin, Austin C; Pathak, Darshankumar T; Troselj, Vera; Wall, Daniel

2016-01-19

Myxobacteria form complex social communities that elicit multicellular behaviors. One such behavior is kin recognition, in which cells identify siblings via their polymorphic TraA cell surface receptor, to transiently fuse outer membranes and exchange their contents. In addition, outer membrane exchange (OME) regulates behaviors, such as inhibition of wild-type Myxococcus xanthus (DK1622) from swarming. Here we monitored the fate of motile cells and surprisingly found they were killed by nonmotile siblings. The kill phenotype required OME (i.e., was TraA dependent). The genetic basis of killing was traced to ancestral strains used to construct DK1622. Specifically, the kill phenotype mapped to a large "polyploid prophage," Mx alpha. Sensitive strains contained a 200-kb deletion that removed two of three Mx alpha units. To explain these results, we suggest that Mx alpha expresses a toxin-antitoxin cassette that uses the OME machinery of M. xanthus to transfer a toxin that makes the population "addicted" to Mx alpha. Thus, siblings that lost Mx alpha units (no immunity) are killed by cells that harbor the element. To test this, an Mx alpha-harboring laboratory strain was engineered (by traA allele swap) to recognize a closely related species, Myxococcus fulvus. As a result, M. fulvus, which lacks Mx alpha, was killed. These TraA-mediated antagonisms provide an explanation for how kin recognition specificity might have evolved in myxobacteria. That is, recognition specificity is determined by polymorphisms in traA, which we hypothesize were selected for because OME with non-kin leads to lethal outcomes. The transition from single cell to multicellular life is considered a major evolutionary event. Myxobacteria have successfully made this transition. For example, in response to starvation, individual cells aggregate into multicellular fruiting bodies wherein cells differentiate into spores. To build fruits, cells need to recognize their siblings, and in part, this is

Online handwritten mathematical expression recognition

Science.gov (United States)

Büyükbayrak, Hakan; Yanikoglu, Berrin; Erçil, Aytül

2007-01-01

We describe a system for recognizing online, handwritten mathematical expressions. The system is designed with a user-interface for writing scientific articles, supporting the recognition of basic mathematical expressions as well as integrals, summations, matrices etc. A feed-forward neural network recognizes symbols which are assumed to be single-stroke and a recursive algorithm parses the expression by combining neural network output and the structure of the expression. Preliminary results show that writer-dependent recognition rates are very high (99.8%) while writer-independent symbol recognition rates are lower (75%). The interface associated with the proposed system integrates the built-in recognition capabilities of the Microsoft's Tablet PC API for recognizing textual input and supports conversion of hand-drawn figures into PNG format. This enables the user to enter text, mathematics and draw figures in a single interface. After recognition, all output is combined into one LATEX code and compiled into a PDF file.

Side-View Face Recognition

NARCIS (Netherlands)

Santemiz, P.; Spreeuwers, Lieuwe Jan; Veldhuis, Raymond N.J.; van den Biggelaar, Olivier

As a widely used biometrics, face recognition has many advantages such as being non-intrusive, natural and passive. On the other hand, in real-life scenarios with uncontrolled environment, pose variation up to side-view positions makes face recognition a challenging work. In this paper we discuss

[Neurological disease and facial recognition].

Science.gov (United States)

Kawamura, Mitsuru; Sugimoto, Azusa; Kobayakawa, Mutsutaka; Tsuruya, Natsuko

2012-07-01

To discuss the neurological basis of facial recognition, we present our case reports of impaired recognition and a review of previous literature. First, we present a case of infarction and discuss prosopagnosia, which has had a large impact on face recognition research. From a study of patient symptoms, we assume that prosopagnosia may be caused by unilateral right occipitotemporal lesion and right cerebral dominance of facial recognition. Further, circumscribed lesion and degenerative disease may also cause progressive prosopagnosia. Apperceptive prosopagnosia is observed in patients with posterior cortical atrophy (PCA), pathologically considered as Alzheimer's disease, and associative prosopagnosia in frontotemporal lobar degeneration (FTLD). Second, we discuss face recognition as part of communication. Patients with Parkinson disease show social cognitive impairments, such as difficulty in facial expression recognition and deficits in theory of mind as detected by the reading the mind in the eyes test. Pathological and functional imaging studies indicate that social cognitive impairment in Parkinson disease is possibly related to damages in the amygdalae and surrounding limbic system. The social cognitive deficits can be observed in the early stages of Parkinson disease, and even in the prodromal stage, for example, patients with rapid eye movement (REM) sleep behavior disorder (RBD) show impairment in facial expression recognition. Further, patients with myotonic dystrophy type 1 (DM 1), which is a multisystem disease that mainly affects the muscles, show social cognitive impairment similar to that of Parkinson disease. Our previous study showed that facial expression recognition impairment of DM 1 patients is associated with lesion in the amygdalae and insulae. Our study results indicate that behaviors and personality traits in DM 1 patients, which are revealed by social cognitive impairment, are attributable to dysfunction of the limbic system.

Epidemiology, Patterns of Care, and Mortality for Patients With Acute Respiratory Distress Syndrome in Intensive Care Units in 50 Countries

NARCIS (Netherlands)

Bellani, Giacomo; Laffey, John G.; Pham, Tài; Fan, Eddy; Brochard, Laurent; Esteban, Andres; Gattinoni, Luciano; van Haren, Frank; Larsson, Anders; McAuley, Daniel F.; Ranieri, Marco; Rubenfeld, Gordon; Thompson, B. Taylor; Wrigge, Hermann; Slutsky, Arthur S.; Pesenti, Antonio; Francois, Guy M.; Rabboni, Francesca; Madotto, Fabiana; Conti, Sara; Sula, Hektor; Nunci, Lordian; Cani, Alma; Zazu, Alan; Dellera, Christian; Insaurralde, Carolina S.; Alejandro, Risso V.; Daldin, Julio; Vinzio, Mauricio; Fernandez, Ruben O.; Cardonnet, Luis P.; Bettini, Lisandro R.; Bisso, Mariano Carboni; Osman, Emilio M.; Setten, Mariano G.; Lovazzano, Pablo; Alvarez, Javier; Villar, Veronica; Pozo, Norberto C.; Grubissich, Nicolas; Plotnikow, Gustavo A.; Vasquez, Daniela N.; Ilutovich, Santiago; Tiribelli, Norberto; Chena, Ariel; Pellegrini, Carlos A.; Saenz, María G.; Estenssoro, Elisa; Simonis, Fabienne D.; Schultz, Marcus J.

2016-01-01

IMPORTANCE Limited information exists about the epidemiology, recognition, management, and outcomes of patients with the acute respiratory distress syndrome (ARDS). OBJECTIVES To evaluate intensive care unit (ICU) incidence and outcome of ARDS and to assess clinician recognition, ventilation

Recognition of an Independent Self-Consciousness

DEFF Research Database (Denmark)

Bjerre, Henrik Jøker

2009-01-01

Hegel's concept in the Phenomenology of the Spirit of the "recognition of an independent self-consciousness" is investigated as a point of separation for contemporary philosophy of recognition. I claim that multiculturalism and the theories of recognition (such as Axel Honneth's) based on empiric...... psychology neglect or deny crucial metaphysical aspects of the Hegelian legacy. Instead, I seek to point at an additional, "spiritual", level of recognition, based on the concept of the subject in Lacanian psychoanalysis....

Case-Based Policy and Goal Recognition

Science.gov (United States)

2015-09-30

Policy and Goal Recognizer (PaGR), a case- based system for multiagent keyhole recognition. PaGR is a knowledge recognition component within a decision...However, unlike our agent in the BVR domain, these recognition agents have access to perfect information. Single-agent keyhole plan recognition can be...listed below: 1. Facing Target 2. Closing on Target 3. Target Range 4. Within a Target’s Weapon Range 5. Has Target within Weapon Range 6. Is in Danger

Harmonization versus Mutual Recognition

DEFF Research Database (Denmark)

Jørgensen, Jan Guldager; Schröder, Philipp

The present paper examines trade liberalization driven by the coordination of product standards. For oligopolistic firms situated in separate markets that are initially sheltered by national standards, mutual recognition of standards implies entry and reduced profits at home paired with the oppor......The present paper examines trade liberalization driven by the coordination of product standards. For oligopolistic firms situated in separate markets that are initially sheltered by national standards, mutual recognition of standards implies entry and reduced profits at home paired...... countries and three firms, where firms first lobby for the policy coordination regime (harmonization versus mutual recognition), and subsequently, in case of harmonization, the global standard is auctioned among the firms. We discuss welfare effects and conclude with policy implications. In particular......, harmonized standards may fail to harvest the full pro-competitive effects from trade liberalization compared to mutual recognition; moreover, the issue is most pronounced in markets featuring price competition....

State Toleration, Religious Recognition and Equality

DEFF Research Database (Denmark)

Lægaard, Sune

2013-01-01

In debates about multiculturalism, it is widely claimed that ‘toleration is not enough’ and that we need to go ‘beyond toleration’ to some form of politics of recognition in order to satisfactorily address contemporary forms of cultural diversity (e.g. the presence in Europe of Muslim minorities...... a conceptual question of whether the relation between states and minorities can be categoriseized in terms of recognition or toleration, but about a normative question of whether and how toleration and recognition secures equality. When toleration is inadequate, this is often because it institutionaliseizes...... and upholds specific inequalities. But politics of recognition may equally well institute inequalities, and in such cases unequal recognition may not be preferable to toleration....

Vision-Based Navigation and Recognition

National Research Council Canada - National Science Library

Rosenfeld, Azriel

1998-01-01

.... (4) Invariants: both geometric and other types. (5) Human faces: Analysis of images of human faces, including feature extraction, face recognition, compression, and recognition of facial expressions...

Vision-Based Navigation and Recognition

National Research Council Canada - National Science Library

Rosenfeld, Azriel

1996-01-01

.... (4) Invariants -- both geometric and other types. (5) Human faces: Analysis of images of human faces, including feature extraction, face recognition, compression, and recognition of facial expressions...

Voice congruency facilitates word recognition.

Science.gov (United States)

Campeanu, Sandra; Craik, Fergus I M; Alain, Claude

2013-01-01

Behavioral studies of spoken word memory have shown that context congruency facilitates both word and source recognition, though the level at which context exerts its influence remains equivocal. We measured event-related potentials (ERPs) while participants performed both types of recognition task with words spoken in four voices. Two voice parameters (i.e., gender and accent) varied between speakers, with the possibility that none, one or two of these parameters was congruent between study and test. Results indicated that reinstating the study voice at test facilitated both word and source recognition, compared to similar or no context congruency at test. Behavioral effects were paralleled by two ERP modulations. First, in the word recognition test, the left parietal old/new effect showed a positive deflection reflective of context congruency between study and test words. Namely, the same speaker condition provided the most positive deflection of all correctly identified old words. In the source recognition test, a right frontal positivity was found for the same speaker condition compared to the different speaker conditions, regardless of response success. Taken together, the results of this study suggest that the benefit of context congruency is reflected behaviorally and in ERP modulations traditionally associated with recognition memory.

Voice congruency facilitates word recognition.

Directory of Open Access Journals (Sweden)

Sandra Campeanu

Full Text Available Behavioral studies of spoken word memory have shown that context congruency facilitates both word and source recognition, though the level at which context exerts its influence remains equivocal. We measured event-related potentials (ERPs while participants performed both types of recognition task with words spoken in four voices. Two voice parameters (i.e., gender and accent varied between speakers, with the possibility that none, one or two of these parameters was congruent between study and test. Results indicated that reinstating the study voice at test facilitated both word and source recognition, compared to similar or no context congruency at test. Behavioral effects were paralleled by two ERP modulations. First, in the word recognition test, the left parietal old/new effect showed a positive deflection reflective of context congruency between study and test words. Namely, the same speaker condition provided the most positive deflection of all correctly identified old words. In the source recognition test, a right frontal positivity was found for the same speaker condition compared to the different speaker conditions, regardless of response success. Taken together, the results of this study suggest that the benefit of context congruency is reflected behaviorally and in ERP modulations traditionally associated with recognition memory.

Systematic design of membership functions for fuzzy-logic control: A case study on one-stage partial nitritation/anammox treatment systems

DEFF Research Database (Denmark)

Boiocchi, Riccardo; Gernaey, Krist; Sin, Gürkan

2016-01-01

constrained optimization problems corresponding to different qualitative operation states of the system are defined and solved to identify, in a consistent manner, the critical points of the membership functions for the input variables. The consistently identified critical points, together with the linguistic...

Side-View Face Recognition

NARCIS (Netherlands)

Santemiz, P.; Spreeuwers, Lieuwe Jan; Veldhuis, Raymond N.J.

2010-01-01

Side-view face recognition is a challenging problem with many applications. Especially in real-life scenarios where the environment is uncontrolled, coping with pose variations up to side-view positions is an important task for face recognition. In this paper we discuss the use of side view face

Document recognition serving people with disabilities

Science.gov (United States)

Fruchterman, James R.

2007-01-01

Document recognition advances have improved the lives of people with print disabilities, by providing accessible documents. This invited paper provides perspectives on the author's career progression from document recognition professional to social entrepreneur applying this technology to help people with disabilities. Starting with initial thoughts about optical character recognition in college, it continues with the creation of accurate omnifont character recognition that did not require training. It was difficult to make a reading machine for the blind in a commercial setting, which led to the creation of a nonprofit social enterprise to deliver these devices around the world. This network of people with disabilities scanning books drove the creation of Bookshare.org, an online library of scanned books. Looking forward, the needs for improved document recognition technology to further lower the barriers to reading are discussed. Document recognition professionals should be proud of the positive impact their work has had on some of society's most disadvantaged communities.

Infant Visual Recognition Memory

Science.gov (United States)

Rose, Susan A.; Feldman, Judith F.; Jankowski, Jeffery J.

2004-01-01

Visual recognition memory is a robust form of memory that is evident from early infancy, shows pronounced developmental change, and is influenced by many of the same factors that affect adult memory; it is surprisingly resistant to decay and interference. Infant visual recognition memory shows (a) modest reliability, (b) good discriminant…

Modified-hybrid optical neural network filter for multiple object recognition within cluttered scenes

Science.gov (United States)

Kypraios, Ioannis; Young, Rupert C. D.; Chatwin, Chris R.

2009-08-01

Motivated by the non-linear interpolation and generalization abilities of the hybrid optical neural network filter between the reference and non-reference images of the true-class object we designed the modifiedhybrid optical neural network filter. We applied an optical mask to the hybrid optical neural network's filter input. The mask was built with the constant weight connections of a randomly chosen image included in the training set. The resulted design of the modified-hybrid optical neural network filter is optimized for performing best in cluttered scenes of the true-class object. Due to the shift invariance properties inherited by its correlator unit the filter can accommodate multiple objects of the same class to be detected within an input cluttered image. Additionally, the architecture of the neural network unit of the general hybrid optical neural network filter allows the recognition of multiple objects of different classes within the input cluttered image by modifying the output layer of the unit. We test the modified-hybrid optical neural network filter for multiple objects of the same and of different classes' recognition within cluttered input images and video sequences of cluttered scenes. The filter is shown to exhibit with a single pass over the input data simultaneously out-of-plane rotation, shift invariance and good clutter tolerance. It is able to successfully detect and classify correctly the true-class objects within background clutter for which there has been no previous training.

Recognition of facial expressions by cortical multi-scale line and edge coding

OpenAIRE

Sousa, R.; Rodrigues, J. M. F.; du Buf, J. M. H.

2010-01-01

Face-to-face communications between humans involve emotions, which often are unconsciously conveyed by facial expressions and body gestures. Intelligent human-machine interfaces, for example in cognitive robotics, need to recognize emotions. This paper addresses facial expressions and their neural correlates on the basis of a model of the visual cortex: the multi-scale line and edge coding. The recognition model links the cortical representation with Paul Ekman's Action Units which are relate...

Similarity measures for face recognition

CERN Document Server

Vezzetti, Enrico

2015-01-01

Face recognition has several applications, including security, such as (authentication and identification of device users and criminal suspects), and in medicine (corrective surgery and diagnosis). Facial recognition programs rely on algorithms that can compare and compute the similarity between two sets of images. This eBook explains some of the similarity measures used in facial recognition systems in a single volume. Readers will learn about various measures including Minkowski distances, Mahalanobis distances, Hansdorff distances, cosine-based distances, among other methods. The book also summarizes errors that may occur in face recognition methods. Computer scientists "facing face" and looking to select and test different methods of computing similarities will benefit from this book. The book is also useful tool for students undertaking computer vision courses.

Bidirectional Modulation of Recognition Memory.

Science.gov (United States)

Ho, Jonathan W; Poeta, Devon L; Jacobson, Tara K; Zolnik, Timothy A; Neske, Garrett T; Connors, Barry W; Burwell, Rebecca D

2015-09-30

Perirhinal cortex (PER) has a well established role in the familiarity-based recognition of individual items and objects. For example, animals and humans with perirhinal damage are unable to distinguish familiar from novel objects in recognition memory tasks. In the normal brain, perirhinal neurons respond to novelty and familiarity by increasing or decreasing firing rates. Recent work also implicates oscillatory activity in the low-beta and low-gamma frequency bands in sensory detection, perception, and recognition. Using optogenetic methods in a spontaneous object exploration (SOR) task, we altered recognition memory performance in rats. In the SOR task, normal rats preferentially explore novel images over familiar ones. We modulated exploratory behavior in this task by optically stimulating channelrhodopsin-expressing perirhinal neurons at various frequencies while rats looked at novel or familiar 2D images. Stimulation at 30-40 Hz during looking caused rats to treat a familiar image as if it were novel by increasing time looking at the image. Stimulation at 30-40 Hz was not effective in increasing exploration of novel images. Stimulation at 10-15 Hz caused animals to treat a novel image as familiar by decreasing time looking at the image, but did not affect looking times for images that were already familiar. We conclude that optical stimulation of PER at different frequencies can alter visual recognition memory bidirectionally. Significance statement: Recognition of novelty and familiarity are important for learning, memory, and decision making. Perirhinal cortex (PER) has a well established role in the familiarity-based recognition of individual items and objects, but how novelty and familiarity are encoded and transmitted in the brain is not known. Perirhinal neurons respond to novelty and familiarity by changing firing rates, but recent work suggests that brain oscillations may also be important for recognition. In this study, we showed that stimulation of

Social media as social capital of LGB individuals in Hong Kong: its relations with group membership, stigma, and mental well-being.

Science.gov (United States)

Chong, Eddie S K; Zhang, Yin; Mak, Winnie W S; Pang, Ingrid H Y

2015-03-01

Social media are found to facilitate social information exchange among lesbian, gay, and bisexual (LGB) individuals who are subjected to social stigma. This study tested the protective role of LGB-tailored social media uses and gratifications in promoting LGB group membership, which we hypothesized to reduce LGB stigma and enhance mental health among LGB individuals in Hong Kong. Based on a sample of 233 Chinese LGB individuals in Hong Kong, structural equation modeling showed evidence for our hypotheses, χ(df=62)(2)= 88.20, GFI = 0.95, CFI = 0.98, NNFI = 0.98, SRMR = 0.07, RMSEA = 0.04. Community surveillance, identity expression, and emotional support on social media may promote mental health by instilling a sense of group membership and reducing stigma. Social media may build camaraderie and bolster resilience among LGB individuals that may otherwise be difficult in conservative regions.

Famous face recognition, face matching, and extraversion.

Science.gov (United States)

Lander, Karen; Poyarekar, Siddhi

2015-01-01

It has been previously established that extraverts who are skilled at interpersonal interaction perform significantly better than introverts on a face-specific recognition memory task. In our experiment we further investigate the relationship between extraversion and face recognition, focusing on famous face recognition and face matching. Results indicate that more extraverted individuals perform significantly better on an upright famous face recognition task and show significantly larger face inversion effects. However, our results did not find an effect of extraversion on face matching or inverted famous face recognition.

Kazakh Traditional Dance Gesture Recognition

Science.gov (United States)

Nussipbekov, A. K.; Amirgaliyev, E. N.; Hahn, Minsoo

2014-04-01

Full body gesture recognition is an important and interdisciplinary research field which is widely used in many application spheres including dance gesture recognition. The rapid growth of technology in recent years brought a lot of contribution in this domain. However it is still challenging task. In this paper we implement Kazakh traditional dance gesture recognition. We use Microsoft Kinect camera to obtain human skeleton and depth information. Then we apply tree-structured Bayesian network and Expectation Maximization algorithm with K-means clustering to calculate conditional linear Gaussians for classifying poses. And finally we use Hidden Markov Model to detect dance gestures. Our main contribution is that we extend Kinect skeleton by adding headwear as a new skeleton joint which is calculated from depth image. This novelty allows us to significantly improve the accuracy of head gesture recognition of a dancer which in turn plays considerable role in whole body gesture recognition. Experimental results show the efficiency of the proposed method and that its performance is comparable to the state-of-the-art system performances.

Fine-grained recognition of plants from images.

Science.gov (United States)

Šulc, Milan; Matas, Jiří

2017-01-01

Fine-grained recognition of plants from images is a challenging computer vision task, due to the diverse appearance and complex structure of plants, high intra-class variability and small inter-class differences. We review the state-of-the-art and discuss plant recognition tasks, from identification of plants from specific plant organs to general plant recognition "in the wild". We propose texture analysis and deep learning methods for different plant recognition tasks. The methods are evaluated and compared them to the state-of-the-art. Texture analysis is only applied to images with unambiguous segmentation (bark and leaf recognition), whereas CNNs are only applied when sufficiently large datasets are available. The results provide an insight in the complexity of different plant recognition tasks. The proposed methods outperform the state-of-the-art in leaf and bark classification and achieve very competitive results in plant recognition "in the wild". The results suggest that recognition of segmented leaves is practically a solved problem, when high volumes of training data are available. The generality and higher capacity of state-of-the-art CNNs makes them suitable for plant recognition "in the wild" where the views on plant organs or plants vary significantly and the difficulty is increased by occlusions and background clutter.

Transfer-Appropriate Processing in Recognition Memory: Perceptual and Conceptual Effects on Recognition Memory Depend on Task Demands

Science.gov (United States)

Parks, Colleen M.

2013-01-01

Research examining the importance of surface-level information to familiarity in recognition memory tasks is mixed: Sometimes it affects recognition and sometimes it does not. One potential explanation of the inconsistent findings comes from the ideas of dual process theory of recognition and the transfer-appropriate processing framework, which…

Using an expanded outcomes framework and continuing education evidence to improve facilitation of patient-centered medical home recognition and transformation.

Science.gov (United States)

Van Hoof, Thomas J; Kelvey-Albert, Michele; Katz, Matthew; Lalime, Ken; Sacks, Ken; Meehan, Thomas P

2014-01-01

The patient-centered medical home is a model for delivering primary care in the United States. Primary care clinicians and their staffs require assistance in understanding the innovation and in applying it to practice. The purpose of this article is to describe and to critique a continuing education program that is relevant to, and will become more common in, primary care. A multifaceted educational strategy prepared 20 primary care private practices to achieve National Committee for Quality Assurance Level 3 recognition as Patient-Centered Medical Homes. Eighteen (90%) practices submitted an application to the National Committee for Quality Assurance. On the first submission attempt, 13 of 18 (72%) achieved Level 3 recognition and 5 (28%) achieved Level 1 recognition. An interactive multifaceted educational strategy can be successful in preparing primary care practices for Patient-Centered Medical Homes recognition, but the strategy may not ensure transformation. Future educational activities should consider an expanded outcomes framework and the evidence of effective continuing education to be more successful with recognition and transformation.

Recognition

DEFF Research Database (Denmark)

Gimmler, Antje

2017-01-01

In this article, I shall examine the cognitive, heuristic and theoretical functions of the concept of recognition. To evaluate both the explanatory power and the limitations of a sociological concept, the theory construction must be analysed and its actual productivity for sociological theory mus...

Pattern Recognition Methods and Features Selection for Speech Emotion Recognition System.

Science.gov (United States)

Partila, Pavol; Voznak, Miroslav; Tovarek, Jaromir

2015-01-01

The impact of the classification method and features selection for the speech emotion recognition accuracy is discussed in this paper. Selecting the correct parameters in combination with the classifier is an important part of reducing the complexity of system computing. This step is necessary especially for systems that will be deployed in real-time applications. The reason for the development and improvement of speech emotion recognition systems is wide usability in nowadays automatic voice controlled systems. Berlin database of emotional recordings was used in this experiment. Classification accuracy of artificial neural networks, k-nearest neighbours, and Gaussian mixture model is measured considering the selection of prosodic, spectral, and voice quality features. The purpose was to find an optimal combination of methods and group of features for stress detection in human speech. The research contribution lies in the design of the speech emotion recognition system due to its accuracy and efficiency.

An Analysis of the Role of Preexisting Internal Factors in Collegiate Alcohol Abuse within Membership of Social Groups/Organizations

Science.gov (United States)

Fusilier, Kristy D.

2013-01-01

This study utilized the administration of the CORE Drug and Alcohol Survey long form, with the inclusion of 10 additional questions to assess prior history of behaviors, social organization membership status, and reasons for utilization of alcohol, to a representative sample of 2500 college students within a single university in order to determine…

(In)direct framing effects: the effects of news media framing on public support for Turkish membership in the European Union

NARCIS (Netherlands)

de Vreese, C.H.; Boomgaarden, H.G.; Semetko, H.A.

2011-01-01

News framing can exert a strong influence on public opinion. Following a media content analysis, this article investigates the effects of news framing on support for membership of Turkey in the European Union. A first experimental study (n = 304) showed a significant difference in the level of

Face Recognition in Humans and Machines

Science.gov (United States)

O'Toole, Alice; Tistarelli, Massimo

The study of human face recognition by psychologists and neuroscientists has run parallel to the development of automatic face recognition technologies by computer scientists and engineers. In both cases, there are analogous steps of data acquisition, image processing, and the formation of representations that can support the complex and diverse tasks we accomplish with faces. These processes can be understood and compared in the context of their neural and computational implementations. In this chapter, we present the essential elements of face recognition by humans and machines, taking a perspective that spans psychological, neural, and computational approaches. From the human side, we overview the methods and techniques used in the neurobiology of face recognition, the underlying neural architecture of the system, the role of visual attention, and the nature of the representations that emerges. From the computational side, we discuss face recognition technologies and the strategies they use to overcome challenges to robust operation over viewing parameters. Finally, we conclude the chapter with a look at some recent studies that compare human and machine performances at face recognition.

An Introduction to Face Recognition Technology

Directory of Open Access Journals (Sweden)

Shang-Hung Lin

2000-01-01

Full Text Available Recently face recognition is attracting much attention in the society of network multimedia information access.  Areas such as network security, content indexing and retrieval, and video compression benefits from face recognition technology because "people" are the center of attention in a lot of video.  Network access control via face recognition not only makes hackers virtually impossible to steal one's "password", but also increases the user-friendliness in human-computer interaction.  Indexing and/or retrieving video data based on the appearances of particular persons will be useful for users such as news reporters, political scientists, and moviegoers.  For the applications of videophone and teleconferencing, the assistance of face recognition also provides a more efficient coding scheme.  In this paper, we give an introductory course of this new information processing technology.  The paper shows the readers the generic framework for the face recognition system, and the variants that are frequently encountered by the face recognizer.  Several famous face recognition algorithms, such as eigenfaces and neural networks, will also be explained.

Paradigms in object recognition

International Nuclear Information System (INIS)

Mutihac, R.; Mutihac, R.C.

1999-09-01

A broad range of approaches has been proposed and applied for the complex and rather difficult task of object recognition that involves the determination of object characteristics and object classification into one of many a priori object types. Our paper revises briefly the three main different paradigms in pattern recognition, namely Bayesian statistics, neural networks, and expert systems. (author)

Genetic determinants of mate recognition in Brachionus manjavacas (Rotifera

Directory of Open Access Journals (Sweden)

Kubanek Julia

2009-09-01

Full Text Available Abstract Background Mate choice is of central importance to most animals, influencing population structure, speciation, and ultimately the survival of a species. Mating behavior of male brachionid rotifers is triggered by the product of a chemosensory gene, a glycoprotein on the body surface of females called the mate recognition pheromone. The mate recognition pheromone has been biochemically characterized, but little was known about the gene(s. We describe the isolation and characterization of the mate recognition pheromone gene through protein purification, N-terminal amino acid sequence determination, identification of the mate recognition pheromone gene from a cDNA library, sequencing, and RNAi knockdown to confirm the functional role of the mate recognition pheromone gene in rotifer mating. Results A 29 kD protein capable of eliciting rotifer male circling was isolated by high-performance liquid chromatography. Two transcript types containing the N-terminal sequence were identified in a cDNA library; further characterization by screening a genomic library and by polymerase chain reaction revealed two genes belonging to each type. Each gene begins with a signal peptide region followed by nearly perfect repeats of an 87 to 92 codon motif with no codons between repeats and the final motif prematurely terminated by the stop codon. The two Type A genes contain four and seven repeats and the two Type B genes contain three and five repeats, respectively. Only the Type B gene with three repeats encodes a peptide with a molecular weight of 29 kD. Each repeat of the Type B gene products contains three asparagines as potential sites for N-glycosylation; there are no asparagines in the Type A genes. RNAi with Type A double-stranded RNA did not result in less circling than in the phosphate-buffered saline control, but transfection with Type B double-stranded RNA significantly reduced male circling by 17%. The very low divergence between repeat units

The coevolution of recognition and social behavior.

Science.gov (United States)

Smead, Rory; Forber, Patrick

2016-05-26

Recognition of behavioral types can facilitate the evolution of cooperation by enabling altruistic behavior to be directed at other cooperators and withheld from defectors. While much is known about the tendency for recognition to promote cooperation, relatively little is known about whether such a capacity can coevolve with the social behavior it supports. Here we use evolutionary game theory and multi-population dynamics to model the coevolution of social behavior and recognition. We show that conditional harming behavior enables the evolution and stability of social recognition, whereas conditional helping leads to a deterioration of recognition ability. Expanding the model to include a complex game where both helping and harming interactions are possible, we find that conditional harming behavior can stabilize recognition, and thereby lead to the evolution of conditional helping. Our model identifies a novel hypothesis for the evolution of cooperation: conditional harm may have coevolved with recognition first, thereby helping to establish the mechanisms necessary for the evolution of cooperation.

Does highly symptomatic class membership in the acute phase predict highly symptomatic classification in victims 6 months after traumatic exposure?

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Hansen, Maj; Hyland, Philip; Armour, Cherie

2016-05-01

Recently studies have indicated the existence of both posttraumatic stress disorder (PTSD) and acute stress disorder (ASD) subtypes but no studies have investigated their mutual association. Although ASD may not be a precursor of PTSD per se, there are potential benefits associated with early identification of victims at risk of developing PTSD subtypes. The present study investigates ASD and PTSD subtypes using latent class analysis (LCA) following bank robbery (N=371). Moreover, we assessed if highly symptomatic ASD and selected risk factors increased the probability of highly symptomatic PTSD. The results of LCA revealed a three class solution for ASD and a two class solution for PTSD. Negative cognitions about self (OR=1.08), neuroticism (OR=1.09) and membership of the 'High symptomatic ASD' class (OR=20.41) significantly increased the probability of 'symptomatic PTSD' class membership. Future studies are needed to investigate the existence of ASD and PTSD subtypes and their mutual relationship. Copyright © 2016 Elsevier Ltd. All rights reserved.

The recognition heuristic: A decade of research

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Gerd Gigerenzer

2011-02-01

Full Text Available The recognition heuristic exploits the basic psychological capacity for recognition in order to make inferences about unknown quantities in the world. In this article, we review and clarify issues that emerged from our initial work (Goldstein and Gigerenzer, 1999, 2002, including the distinction between a recognition and an evaluation process. There is now considerable evidence that (i the recognition heuristic predicts the inferences of a substantial proportion of individuals consistently, even in the presence of one or more contradicting cues, (ii people are adaptive decision makers in that accordance increases with larger recognition validity and decreases in situations when the validity is low or wholly indeterminable, and (iii in the presence of contradicting cues, some individuals appear to select different strategies. Little is known about these individual differences, or how to precisely model the alternative strategies. Although some researchers have attributed judgments inconsistent with the use of the recognition heuristic to compensatory processing, little research on such compensatory models has been reported. We discuss extensions of the recognition model, open questions, unanticipated results, and the surprising predictive power of recognition in forecasting.

Bilingual Language Switching: Production vs. Recognition

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Mosca, Michela; de Bot, Kees

2017-01-01

This study aims at assessing how bilinguals select words in the appropriate language in production and recognition while minimizing interference from the non-appropriate language. Two prominent models are considered which assume that when one language is in use, the other is suppressed. The Inhibitory Control (IC) model suggests that, in both production and recognition, the amount of inhibition on the non-target language is greater for the stronger compared to the weaker language. In contrast, the Bilingual Interactive Activation (BIA) model proposes that, in language recognition, the amount of inhibition on the weaker language is stronger than otherwise. To investigate whether bilingual language production and recognition can be accounted for by a single model of bilingual processing, we tested a group of native speakers of Dutch (L1), advanced speakers of English (L2) in a bilingual recognition and production task. Specifically, language switching costs were measured while participants performed a lexical decision (recognition) and a picture naming (production) task involving language switching. Results suggest that while in language recognition the amount of inhibition applied to the non-appropriate language increases along with its dominance as predicted by the IC model, in production the amount of inhibition applied to the non-relevant language is not related to language dominance, but rather it may be modulated by speakers' unconscious strategies to foster the weaker language. This difference indicates that bilingual language recognition and production might rely on different processing mechanisms and cannot be accounted within one of the existing models of bilingual language processing. PMID:28638361