WorldWideScience

Sample records for social profile analysis

  1. Examining Combinations of Social Physique Anxiety and Motivation Regulations Using Latent Profile Analysis

    Science.gov (United States)

    Ullrich-French, Sarah; Cox, Anne E.; Cooper, Brittany Rhoades

    2016-01-01

    Previous research has used cluster analysis to examine how social physique anxiety (SPA) combines with motivation in physical education. This study utilized a more advanced analytic approach, latent profile analysis (LPA), to identify profiles of SPA and motivation regulations. Students in grades 9-12 (N = 298) completed questionnaires at two time…

  2. Qualitative Analysis of Commercial Social Network Profiles

    Science.gov (United States)

    Melendez, Lester; Wolfson, Ouri; Adjouadi, Malek; Rishe, Naphtali

    Social-networking sites have become an integral part of many users' daily internet routine. Commercial enterprises have been quick to recognize this and are subsequently creating profiles for many of their products and services. Commercial enterprises use social network profiles to target and interact with potential customers as well as to provide a gateway for users of the product or service to interact with each other. Many commercial enterprises use the statistics from their product or service's social network profile to tout the popularity and success of the product or service being showcased. They will use statistics such as number of friends, number of daily visits, number of interactions, and other similar measurements to quantify their claims. These statistics are often not a clear indication of the true popularity and success of the product. In this chapter the term product is used to refer to any tangible or intangible product, service, celebrity, personality, film, book, or other entity produced by a commercial enterprise.

  3. The Social Profile of Students in Basic General Education in Ecuador: A Data Analysis

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    Buri, Olga Elizabeth Minchala; Stefos, Efstathios

    2017-01-01

    The objective of this study is to examine the social profile of students who are enrolled in Basic General Education in Ecuador. Both a descriptive and multidimensional statistical analysis was carried out based on the data provided by the National Survey of Employment, Unemployment and Underemployment in 2015. The descriptive analysis shows the…

  4. Anger profiles in social anxiety disorder.

    Science.gov (United States)

    Versella, Mark V; Piccirillo, Marilyn L; Potter, Carrie M; Olino, Thomas M; Heimberg, Richard G

    2016-01-01

    Individuals with social anxiety disorder (SAD) exhibit elevated levels of anger and anger suppression, which are both associated with increased depression, diminished quality of life, and poorer treatment outcomes. However, little is known about how anger experiences differ among individuals with SAD and whether any heterogeneity might relate to negative outcomes. This investigation sought to empirically define anger profiles among 136 treatment-seeking individuals with SAD and to assess their association with distress and impairment. A latent class analysis was conducted utilizing the trait subscales of the State-Trait Anger Expression Inventory-2 as indicators of class membership. Analysis revealed four distinct anger profiles, with greatest distress and impairment generally demonstrated by individuals with elevated trait anger, a greater tendency to suppress the expression of anger, and diminished ability to adaptively control their anger expression. These results have implications for tailoring more effective interventions for socially anxious individuals. Copyright © 2015 Elsevier Ltd. All rights reserved.

  5. Risk profiles and corporate social responsibility for socially disadvantaged groups

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    Serbanescu Cosmin

    2017-07-01

    Full Text Available Developing a suitable mechanism to stimulate the effective redeployment of capital to social activities can be designed using the corporate social responsibility (CSR concept. Informational asymmetry about the real state of social risks influences the effectiveness of allocations in social protection. Reducing information asymmetries can be achieved by providing the corporations with socially determined risk profiles based on predetermined patterns. Offering concrete lines of action following the risk profiles approach which to base investment decisions of companies in CSR can maximize the results of such a mechanism. In a previous study the authors have developed a theoretical model for determining the poverty risk profile. This study aims to present the practical application of the theoretical model and to provide comments on some errors. Hence, the authors analyzed Buzau county municipalities in presenting the highest risk level determined by the theoretical model and related causes and performed an impact assessment of an investment in CSR based on a model. Specifically, the authors evaluated the impact of reducing the risk of poverty for a suitable investment in CSR. In the second part of the study, the authors analyzed the types of errors that can be found in the municipalities risk profile model due to the granularity of the data. Thus, for the error of over-inclusion, the authors assessed social allocative efficiency at the community level using benchmarking analysis, Data Envelopment respectively and analyzed the data of the under-inclusion error in Buzau county villages. The paper aims to analyze the relative limits on quantitative models and risk of poverty and the practical implementation of these types of models in the development of corporate social responsibility. The study provides also a useful tool which can be made available to companies in order to increase the vulnerable groups’ life quality and the satisfaction of

  6. Social media use profile, social skills, and nurse-patient interaction among Registered Nurses in tertiary hospitals: A structural equation model analysis.

    Science.gov (United States)

    Mariano, Micah Celine O; Maniego, John Christian M; Manila, Hariette Lou Marie D; Mapanoo, Ram Cedrick C; Maquiran, Kerwin Miguel A; Macindo, John Rey B; Tejero, Lourdes Marie S; Torres, Gian Carlo S

    2018-04-01

    Social media has become increasingly important over the past decades and has been integrated in various environments, including the healthcare setting. Yet, the influence of social media use on the social skills and nurse-patient interaction of nurses is an area in nursing that requires further studies. This study determined the interrelationships among social media use profile, social skills, and nurse-patient interaction of Registered Nurses in tertiary hospitals. Employing structural equation modeling, a descriptive-correlational study was conducted among 212 consecutively-selected nurses from two tertiary hospitals. Consenting respondents completed a two-part survey composed of the respondent profile sheet and the Social Skills Inventory. The respondent profile sheet assessed demographic profile and social media use profile in terms of the mode, frequency, and duration of utilization. Three trained team members observed each nurse-patient dyad and completed the Nurse-Patient Bonding Instrument. A good fit model illustrated the negative effects of frequent social media use to patient openness (β = -0.18, p social media on a daily basis, however, positively affected both dimensions of social skills. Accessing social media platforms using non-handheld devices showed the most influential positive effects to social skills and nurse-patient interaction. Additionally, although verbal social skills positively affected most dimensions of nurse-patient interaction, non-verbal social skills negatively influenced patient engagement (β = -0.19, p = 0.019) and nurse openness (β = -0.38, p ≤ 0.05). The structural model illustrates the effects of using social media on the social skills and nurse-patient interaction of nurses and emphasizes the need for implementing institutional policies on the judicious use and application of social media in the workplace. Further, social skills development programs geared toward having a balanced social skill must

  7. User Profile Analysis Using an Online Social Network Integrated Quiz Game

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    Yusuf YASLAN

    2017-09-01

    Full Text Available User interest profiling is important for personalized web search, recommendation and retrieval systems. In order to develop a good personalized application one needs to have accurate representation of user profiles. Most of the personalized systems generate interest profiles from user declarations or inferred from cookies or visited web pages. But to achieve a certain result that satisfies the user needs, explicit definition of the user interests is needed. In this paper we propose to obtain interest profiles from a quiz game played by the user where at each play he/she is asked 10 questions from different categories with different difficulty levels. The developed quiz game is integrated to Facebook online social network. By doing so, we had the chance to extract each user’s both explicit Facebook interest profiles and implicit interest profiles from quiz game answers. These profiles are used to extract different features for each user. Both implicit interest profile and explicit interest profile features are evaluated for clustering and interest ranking tasks separately. The experimental results show that the implicit interest profile features have promising results on personalized systems.

  8. Deprivation profile in Cameroon: A combined analysis of Poverty and Social Exclusion

    OpenAIRE

    Miamo Wendji, Clovis

    2015-01-01

    In this study, we analyze the privations welfare in Cameroon considering poverty and social exclusion. The framework provided by the capability approach and construction of indicators of poverty and social exclusion by the fuzzy method from ECAM III survey data shows that the overall level of poverty and social exclusion (respectively 0.4008 and 0.2291), are still very high. The definition of two-dimensional profile of welfare deprivation reveals that the determinants of deprivation are diffe...

  9. A security approach based on honeypots: Protecting Online Social network from malicious profiles

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    Fatna Elmendili, Nisrine Maqran

    2017-04-01

    Full Text Available In the recent years, the fast development and the exponential utilization of social networks have prompted an expansion of social Computing. In social networks users are interconnected by edges or links, where Facebook, twitter, LinkedIn are most popular social networks websites. Due to the growing popularity of these sites they serve as a target for cyber criminality and attacks. It is mostly based on how users are using these sites like Twitter and others. Attackers can easily access and gather personal and sensitive user’s information. Users are less aware and least concerned about the security setting. And they easily become victim of identity breach. To detect malicious users or fake profiles different techniques have been proposed like our approach which is based on the use of social honeypots to discover malicious profiles in it. Inspired by security researchers who used honeypots to observe and analyze malicious activity in the networks, this method uses social honeypots to trap malicious users. The two key elements of the approach are: (1 The deployment of social honeypots for harvesting information of malicious profiles. (2 Analysis of the characteristics of these malicious profiles and those of deployed honeypots for creating classifiers that allow to filter the existing profiles and monitor the new profiles.

  10. PROFILE OF SOCIAL SERVICES FROM JIU VALLEY IN LIGHT PROFESSIONALS PERCEPTION. QUALITATIVE APPROACH

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    FELICIA ANDRIONI

    2012-10-01

    Full Text Available This study aims to analyse Jiu Valley social services profile using a qualitative perspective – focus grup analysis, by investigating perceptions of social services professionals from Jiu Valley, Hunedoara County, Romania. The qualitative methods of investigation, particularly important in achieving a comprehensive profile of social services from the Jiu Valley was to achieve a focused discussion sessions on social services. The following objectives were targeted by focus group: analysis of social professionals’ perception on social services from the Jiu Valley, Hunedoara County and identifying internal and external factors, to put their mark on the functioning of social services. Upon completion of discussions session focusing on social services in the Jiu Valley to conclude on the following aspects: social professionals perceive favorable development of social services in the Jiu Valley region in the period 2002-2008, and considering the dynamic development of these services is progressive. There are a number of elements which are seen by professionals as catalysts for the proper functioning and development of social services and factors inhibiting or blocking the functioning of these services.

  11. Social Disadvantage, Severe Child Abuse, and Biological Profiles in Adulthood.

    Science.gov (United States)

    Lee, Chioun; Coe, Christopher L; Ryff, Carol D

    2017-09-01

    Guided by the stress process model and the life course perspective, we hypothesize: (1) that childhood abuse is concentrated, in terms of type and intensity, among socially disadvantaged individuals, and (2) that experiencing serious abuse contributes to poor biological profiles in multiple body systems in adulthood. Data came from the Biomarker subsample of Midlife in the United States (2004-2006). We used latent class analysis to identify distinct profiles of childhood abuse, each reflecting a combination of type and severity. Results indicate that disadvantaged groups, women, and those from disadvantaged families are at greater risk of experiencing more severe and multiple types of abuse. Those with more severe and multifaceted childhood abuse show greater physiological dysregulation. Childhood abuse experiences partially accounted for the social status differences in physiological profiles. Our findings underscore that differential exposure to serious childhood stressors plays a significant role in gender and class inequalities in adult health.

  12. CP-ABE Based Privacy-Preserving User Profile Matching in Mobile Social Networks.

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    Weirong Cui

    Full Text Available Privacy-preserving profile matching, a challenging task in mobile social networks, is getting more attention in recent years. In this paper, we propose a novel scheme that is based on ciphertext-policy attribute-based encryption to tackle this problem. In our scheme, a user can submit a preference-profile and search for users with matching-profile in decentralized mobile social networks. In this process, no participant's profile and the submitted preference-profile is exposed. Meanwhile, a secure communication channel can be established between the pair of successfully matched users. In contrast to existing related schemes which are mainly based on the secure multi-party computation, our scheme can provide verifiability (both the initiator and any unmatched user cannot cheat each other to pretend to be matched, and requires few interactions among users. We provide thorough security analysis and performance evaluation on our scheme, and show its advantages in terms of security, efficiency and usability over state-of-the-art schemes.

  13. CP-ABE Based Privacy-Preserving User Profile Matching in Mobile Social Networks.

    Science.gov (United States)

    Cui, Weirong; Du, Chenglie; Chen, Jinchao

    2016-01-01

    Privacy-preserving profile matching, a challenging task in mobile social networks, is getting more attention in recent years. In this paper, we propose a novel scheme that is based on ciphertext-policy attribute-based encryption to tackle this problem. In our scheme, a user can submit a preference-profile and search for users with matching-profile in decentralized mobile social networks. In this process, no participant's profile and the submitted preference-profile is exposed. Meanwhile, a secure communication channel can be established between the pair of successfully matched users. In contrast to existing related schemes which are mainly based on the secure multi-party computation, our scheme can provide verifiability (both the initiator and any unmatched user cannot cheat each other to pretend to be matched), and requires few interactions among users. We provide thorough security analysis and performance evaluation on our scheme, and show its advantages in terms of security, efficiency and usability over state-of-the-art schemes.

  14. Trayvon Martin: Racial Profiling, Black Male Stigma, and Social Work Practice.

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    Teasley, Martell Lee; Schiele, Jerome H; Adams, Charles; Okilwa, Nathern S

    2018-01-01

    To address a critical gap in the social work literature, this article examines the deleterious effects of racial profiling as it pertains to police targeting of male African Americans. The authors use the Trayvon Martin court case to exemplify how racial profiling and black male stigma help perpetuate social inequality and injustice for black men. A racism-centered perspective is examined historically and contemporarily as a theoretical approach to understanding the role that race plays in social injustice through racial profiling. Implications for social work research design and practice aimed at increasing the social work knowledge base on racial profiling are discussed. The authors call for attention and advocacy by major social work organizations in the reduction of black male stigma and racial profiling. © 2017 National Association of Social Workers.

  15. Social care as first work experience in England: a secondary analysis of the profile of a national sample of migrant workers.

    Science.gov (United States)

    Hussein, Shereen; Manthorpe, Jill; Stevens, Martin

    2011-01-01

    Migrant workers are increasingly important to the care sector in England as well as in other developed countries. The profile of migrants is likely to continue changing due to reforms in immigration policy and legislation limiting the range of jobs open to migrants from non-EU countries while facilitating migration from the new European Union accession countries. This article reports on detailed secondary analysis of newly available data on the characteristics of migrants working in the care sector as their first job. The analysis was undertaken in 2009 as part of research investigating the contribution made by migrant care workers in England. The sample was identified from the new National Minimum Data Set for Social Care (NMDSSC), which is completed by social care employers in England. Workers whose ethnicity was identified as not White British and who had their previous job abroad were used as a proxy of recent migrants. The analysis shows that this group of workers has a significantly different profile compared with other workers. Recent migrants in the care sector were significantly younger and held higher qualifications relevant to social care; however, there were no significant gender differences. They were also significantly concentrated in the private and voluntary sectors and in direct care work. There were variations between recent migrants' ethnicity and their job roles, with Asian workers more prevalent in senior care positions. These findings have a number of possible implications for social care workforce and providers, particularly within the current context of changing migration rules and social care reforms. © 2010 Blackwell Publishing Ltd.

  16. Latent Class Symptom Profiles of Selective Mutism: Identification and Linkage to Temperamental and Social Constructs.

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    Diliberto, Rachele; Kearney, Christopher A

    2017-11-21

    Selective mutism (SM) is a stable, debilitating psychiatric disorder in which a child fails to speak in most public situations. Considerable debate exists as to the typology of this population, with empirically-based studies pointing to possible dimensions of anxiety, oppositionality, and communication problems, among other aspects. Little work has juxtaposed identified symptom profiles with key temperamental and social constructs often implicated in SM. The present study examined a large, diverse, non-clinical, international sample of children aged 6-10 years with SM to empirically identify symptom profiles and to link these profiles to key aspects of temperament (i.e., emotionality, shyness, sociability, activity) and social functioning (i.e., social problems, social competence). Exploratory and confirmatory factor analysis revealed anxiety/distress, oppositionality, and inattention domains. In addition, latent class analysis revealed nuanced profiles labeled as (1) moderately anxious, oppositional, and inattentive, (2) highly anxious, and moderately oppositional and inattentive, and (3) mildly to moderately anxious, and mildly oppositional and inattentive. Class 2 was the most impaired group and was associated with greater emotionality, shyness, and social problems. Class 3 was the least impaired group and was associated with better sociability and social competence and activity. Class 1 was largely between the other classes, demonstrating less shyness and social problems than Class 2. The results help confirm previous findings of anxiety and oppositional profiles among children with SM but that nuanced classes may indicate subtle variations in impairment. The results have implications not only for subtyping this population but also for refining assessment and case conceptualization strategies and pursuing personalized and perhaps less lengthy treatment.

  17. Building a profile of subjective well-being for social media users.

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    Chen, Lushi; Gong, Tao; Kosinski, Michal; Stillwell, David; Davidson, Robert L

    2017-01-01

    Subjective well-being includes 'affect' and 'satisfaction with life' (SWL). This study proposes a unified approach to construct a profile of subjective well-being based on social media language in Facebook status updates. We apply sentiment analysis to generate users' affect scores, and train a random forest model to predict SWL using affect scores and other language features of the status updates. Results show that: the computer-selected features resemble the key predictors of SWL as identified in early studies; the machine-predicted SWL is moderately correlated with the self-reported SWL (r = 0.36, p subjective well-being profile can also reflect other psychological traits like depression (r = 0.24, p social media language.

  18. Social comparison 2.0: examining the effects of online profiles on social-networking sites.

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    Haferkamp, Nina; Krämer, Nicole C

    2011-05-01

    Through their features--such as profile photographs or the personal vita--online profiles on social-networking sites offer a perfect basis for social comparison processes. By looking at the profile photograph, the user gains an impression of a person's physical attractiveness, and the user's vita shows which career path the person is pursuing. Against the background of Festinger's Social Comparison Theory, the focus of this research is on the effects of online profiles on their recipients. Therefore, qualitative interviews (N = 12) and two online experiments were conducted in which virtual online profiles of either physically attractive or unattractive persons (N = 93) and profiles of users with either high or low occupational attainment (N = 103) were presented to the participants. Although qualitative interviews did not initially give reason to expect online profiles to constitute a basis for comparison processes, results of the experiments proved otherwise. The first study indicates that recipients have a more negative body image after looking at beautiful users than persons who were shown the less attractive profile pictures. Male participants of the second study, who were confronted with profiles of successful males, showed a higher perceived discrepancy between their current career status and an ideal vita than male participants who looked at profiles of less successful persons.

  19. Profiles of Social and Coping Resources in Families of Children with Autism Spectrum Disorder: Relations to Parent and Child Outcomes

    Science.gov (United States)

    Zaidman-Zait, Anat; Mirenda, Pat; Szatmari, Peter; Duku, Eric; Smith, Isabel M.; Vaillancourt, Tracy; Volden, Joanne; Waddell, Charlotte; Bennett, Teresa; Zwaigenbaum, Lonnie; Elsabaggh, Mayada; Georgiades, Stelios

    2018-01-01

    This study described empirically derived profiles of parents' personal and social coping resources in a sample of 207 families of children diagnosed with autism spectrum disorder. Latent Profile Analysis identified four family profiles based on socieoeconomic risk, coping strategy utilization, family functioning, available social supports, and…

  20. Interpersonal value profiles and analysis of adolescent academic performance and social thought

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    José Jesús eGázquez

    2015-05-01

    Full Text Available The purposes of this study were to identify interpersonal value profiles and find out whether there were any differences in academic performance and social thinking. The study sample was 885 high school students of whom 49.8% (N=441 were boys and 50.2% (N=444 were girls. The results show that students with low Benevolence and Conformity levels showed higher prevalence of failures and repeated the year more often. Furthermore, students with a high level of Recognition and Leadership and low Conformity and Benevolence are socially incompetent students. Intervention programs should to achieve high levels of kindness and consideration, respect for rules and generosity, and diminish the perception of recognition by others and exertion of authority. Thus, this study shows the values that must be worked on to improve students’ Academic Performance and social competence.

  1. Neuro- and social-cognitive clustering highlights distinct profiles in adults with anorexia nervosa.

    Science.gov (United States)

    Renwick, Beth; Musiat, Peter; Lose, Anna; DeJong, Hannah; Broadbent, Hannah; Kenyon, Martha; Loomes, Rachel; Watson, Charlotte; Ghelani, Shreena; Serpell, Lucy; Richards, Lorna; Johnson-Sabine, Eric; Boughton, Nicky; Treasure, Janet; Schmidt, Ulrike

    2015-01-01

    This study aimed to explore the neuro- and social-cognitive profile of a consecutive series of adult outpatients with anorexia nervosa (AN) when compared with widely available age and gender matched historical control data. The relationship between performance profiles, clinical characteristics, service utilization, and treatment adherence was also investigated. Consecutively recruited outpatients with a broad diagnosis of AN (restricting subtype AN-R: n = 44, binge-purge subtype AN-BP: n = 33 or Eating Disorder Not Otherwise Specified-AN subtype EDNOS-AN: n = 23) completed a comprehensive set of neurocognitive (set-shifting, central coherence) and social-cognitive measures (Emotional Theory of Mind). Data were subjected to hierarchical cluster analysis and a discriminant function analysis. Three separate, meaningful clusters emerged. Cluster 1 (n = 45) showed overall average to high average neuro- and social- cognitive performance, Cluster 2 (n = 38) showed mixed performance characterized by distinct strengths and weaknesses, and Cluster 3 (n = 17) showed poor overall performance (Autism Spectrum disorder (ASD) like cluster). The three clusters did not differ in terms of eating disorder symptoms, comorbid features or service utilization and treatment adherence. A discriminant function analysis confirmed that the clusters were best characterized by performance in perseveration and set-shifting measures. The findings suggest that considerable neuro- and social-cognitive heterogeneity exists in patients with AN, with a subset showing ASD-like features. The value of this method of profiling in predicting longer term patient outcomes and in guiding development of etiologically targeted treatments remains to be seen. © 2014 Wiley Periodicals, Inc.

  2. Community structure analysis of rejection sensitive personality profiles: A common neural response to social evaluative threat?

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    Kortink, Elise D; Weeda, Wouter D; Crowley, Michael J; Gunther Moor, Bregtje; van der Molen, Melle J W

    2018-06-01

    Monitoring social threat is essential for maintaining healthy social relationships, and recent studies suggest a neural alarm system that governs our response to social rejection. Frontal-midline theta (4-8 Hz) oscillatory power might act as a neural correlate of this system by being sensitive to unexpected social rejection. Here, we examined whether frontal-midline theta is modulated by individual differences in personality constructs sensitive to social disconnection. In addition, we examined the sensitivity of feedback-related brain potentials (i.e., the feedback-related negativity and P3) to social feedback. Sixty-five undergraduate female participants (mean age = 19.69 years) participated in the Social Judgment Paradigm, a fictitious peer-evaluation task in which participants provided expectancies about being liked/disliked by peer strangers. Thereafter, they received feedback signaling social acceptance/rejection. A community structure analysis was employed to delineate personality profiles in our data. Results provided evidence of two subgroups: one group scored high on attachment-related anxiety and fear of negative evaluation, whereas the other group scored high on attachment-related avoidance and low on fear of negative evaluation. In both groups, unexpected rejection feedback yielded a significant increase in theta power. The feedback-related negativity was sensitive to unexpected feedback, regardless of valence, and was largest for unexpected rejection feedback. The feedback-related P3 was significantly enhanced in response to expected social acceptance feedback. Together, these findings confirm the sensitivity of frontal midline theta oscillations to the processing of social threat, and suggest that this alleged neural alarm system behaves similarly in individuals that differ in personality constructs relevant to social evaluation.

  3. Burnout in Health Professionals According to Their Self-Esteem, Social Support and Empathy Profile.

    Science.gov (United States)

    Molero Jurado, María Del Mar; Pérez-Fuentes, María Del Carmen; Gázquez Linares, José Jesús; Barragán Martín, Ana Belén

    2018-01-01

    Introduction: Professionals in the healthcare field are in situations that could be a source of stress and sometimes develop burnout syndrome. Self-esteem, social support, and empathy are variables which intervene and influence the appearance of this syndrome. Objective: Identify healthcare professional profiles based on self-esteem, empathy and perceived social support, and analyze the extent to which these profiles show differences in developing burnout. Method: The sample was made up of 719 healthcare professionals with a mean of 38.52 years of age. The Short Questionnaire of Burnout, the Rosenberg Self-Esteem Scale, the Perceived Social Support Questionnaire and the Basic Empathy Scale were used. Results: The results of a cluster analysis with self-esteem, empathy, and perceived social support showed four groups/profiles. Two of them, which included professionals with low self-esteem, differed in the rest of the characteristics. Furthermore, significant differences in burnout scores were found among the groups identified. Conclusion: The results show the need to study burnout with attention to individual and or social characteristics, where self-esteem is shown to be one of the explanatory variables making the main differences among the groups.

  4. Burnout in Health Professionals According to Their Self-Esteem, Social Support and Empathy Profile

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    María del Mar Molero Jurado

    2018-04-01

    Full Text Available Introduction: Professionals in the healthcare field are in situations that could be a source of stress and sometimes develop burnout syndrome. Self-esteem, social support, and empathy are variables which intervene and influence the appearance of this syndrome.Objective: Identify healthcare professional profiles based on self-esteem, empathy and perceived social support, and analyze the extent to which these profiles show differences in developing burnout.Method: The sample was made up of 719 healthcare professionals with a mean of 38.52 years of age. The Short Questionnaire of Burnout, the Rosenberg Self-Esteem Scale, the Perceived Social Support Questionnaire and the Basic Empathy Scale were used.Results: The results of a cluster analysis with self-esteem, empathy, and perceived social support showed four groups/profiles. Two of them, which included professionals with low self-esteem, differed in the rest of the characteristics. Furthermore, significant differences in burnout scores were found among the groups identified.Conclusion: The results show the need to study burnout with attention to individual and or social characteristics, where self-esteem is shown to be one of the explanatory variables making the main differences among the groups.

  5. Development of the life impact burn recovery evaluation (LIBRE) profile: assessing burn survivors' social participation.

    Science.gov (United States)

    Kazis, Lewis E; Marino, Molly; Ni, Pengsheng; Soley Bori, Marina; Amaya, Flor; Dore, Emily; Ryan, Colleen M; Schneider, Jeff C; Shie, Vivian; Acton, Amy; Jette, Alan M

    2017-10-01

    Measuring the impact burn injuries have on social participation is integral to understanding and improving survivors' quality of life, yet there are no existing instruments that comprehensively measure the social participation of burn survivors. This project aimed to develop the Life Impact Burn Recovery Evaluation Profile (LIBRE), a patient-reported multidimensional assessment for understanding the social participation after burn injuries. 192 questions representing multiple social participation areas were administered to a convenience sample of 601 burn survivors. Exploratory factor analysis and confirmatory factor analysis (CFA) were used to identify the underlying structure of the data. Using item response theory methods, a Graded Response Model was applied for each identified sub-domain. The resultant multidimensional LIBRE Profile can be administered via Computerized Adaptive Testing (CAT) or fixed short forms. The study sample included 54.7% women with a mean age of 44.6 (SD 15.9) years. The average time since burn injury was 15.4 years (0-74 years) and the average total body surface area burned was 40% (1-97%). The CFA indicated acceptable fit statistics (CFI range 0.913-0.977, TLI range 0.904-0.974, RMSEA range 0.06-0.096). The six unidimensional scales were named: relationships with family and friends, social interactions, social activities, work and employment, romantic relationships, and sexual relationships. The marginal reliability of the full item bank and CATs ranged from 0.84 to 0.93, with ceiling effects less than 15% for all scales. The LIBRE Profile is a promising new measure of social participation following a burn injury that enables burn survivors and their care providers to measure social participation.

  6. Social networking profiles and professionalism issues in residency applicants: an original study-cohort study.

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    Ponce, Brent A; Determann, Jason R; Boohaker, Hikel A; Sheppard, Evan; McGwin, Gerald; Theiss, Steven

    2013-01-01

    To determine the frequency of social networking, the degree of information publicly disclosed, and whether unprofessional content was identified in applicants from the 2010 Residency Match. Medical professionalism is an essential competency for physicians to learn, and information found on social networking sites may be hazardous to the doctor-patient relationship and an institution's public perception. No study has analyzed the social network content of applicants applying for residency. Online review of social networking Facebook profiles of graduating medical students applying for a residency in orthopedic surgery. Evidence of unprofessional content was based upon Accreditation Council for Graduate Medical Education guidelines. Additional recorded applicant data included as follows: age, United States Medical Licensing Examination part I score, and residency composite score. Relationship between professionalism score and recorded data points was evaluated using an analysis of variance. Nearly half of all applicants, 46% (200/431), had a Facebook profile. The majority of profiles (85%) did not restrict online access to their profile. Unprofessional content was identified in 16% of resident applicant profiles. Variables associated with lower professionalism scores included unmarried relationship status and lower residency composite scores. It is critical for healthcare professionals to recognize both the benefits and risks present with electronic communication and to vigorously protect the content of material allowed to be publically accessed through the Internet. Copyright © 2013 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

  7. Interpersonal value profiles and analysis of adolescent academic performance and social thinking

    OpenAIRE

    Gázquez, José J.; Sainz, Jorge; Pérez-Fuentes, María del C.; Molero, María del M.; Soler, Francisco J.

    2015-01-01

    The purposes of this study were to identify interpersonal value profiles and find out whether there were any differences in academic performance and social thinking. The study sample was 885 high school students of whom 49.8% (N = 441) were boys and 50.2% (N = 444) were girls. The results show that students with low Benevolence and Conformity levels showed higher prevalence of failures and repeated the year more often. Furthermore, students with a high level of Recognition and Leadership and ...

  8. [Profile of social work in inpatient elder care].

    Science.gov (United States)

    Steiner, B

    1998-10-01

    New ideas in the support of the elderly such as self determination of residents on the one hand, normalization, individualization and opening of geriatric care centers on the other, led to an increasing importance of social work in homes for the elderly. Full quality-management and basic data are instruments for forming a professional profile. On the other hand there is a lack of empirical studies on this topic. This paper presents the results of an activity analysis of 16 persons employed in the social services in homes for the elderly of one non profit organisation in Baden-Württemberg. The main work in direct help for the residents consists in the realization and organisation of social activities and in offers of groupwork. This involves measures to structure the day and to promote social contacts. Besides social legal advice, the psycho-social advice for residents and their relatives in order to help them to master critical events and master changes in behaviour caused by gerontopsychiatric illness is of special importance. In an indirect way social work concentrates on the internal organisation of coordinating managed care and social support in a multiprofessional team and other service sectors of the institution. The opening of homes and their integration within the community is achieved by information and public relations work, for example by the cooperation with local clubs, external services and help, and last but not least, by recruiting and advising volunteers.

  9. Boundaries to the articulation of possible selves through social networking sites: the case of Facebook profilers' social connectedness.

    Science.gov (United States)

    Zwier, Sandra; Araujo, Theo; Boukes, Mark; Willemsen, Lotte

    2011-10-01

    This study aims to contribute to an emerging literature that seeks to understand how identity markers on social networking sites (SNSs) shape interpersonal impressions, and particularly the boundaries that SNSs present for articulating unconstrained "hoped-for possible selves." An experiment employing mock-up Facebook profiles was conducted, showing that appearing with friends on a Facebook profile picture as well as increasingly higher number of Facebook friends strengthened perceptions of a profiler's hoped-for level of social connectedness. Excessive numbers of friends, however, weakened perceptions of a profiler's real-level social connectedness, particularly among participants with smaller social networks on Facebook themselves. The discussion focuses on when people come to find that reasonable boundaries of self-generated information on an SNS have been exceeded.

  10. Clinical profiles of stigma experiences, self-esteem and social relationships among people with schizophrenia, depressive, and bipolar disorders.

    Science.gov (United States)

    Oliveira, Sandra E H; Esteves, Francisco; Carvalho, Helena

    2015-09-30

    Some mental illnesses and certain mental health care environments can be severely stigmatizing, which seems to be related to decreased self-esteem and a deterioration of the quality of social relationships for people with mental illness. This study aims to identify clinical profiles characterized by clinical diagnoses more strongly associated with the treatment settings and related to internalized stigma, self-esteem and satisfaction with social relationships. It also aimed to analyze associations between clinical profiles and socio-demographic indicators. Multiple correspondence analysis and cluster analysis were performed on a sample of 261 individuals with schizophrenia and mood disorders, from hospital-based and community-based facilities. MCA showed four distinct clinical profiles allowing a differentiation among levels of: internalized stigma, social relationship satisfaction and self-esteem. Overall, results revealed that internalized stigma remains a pervasive problem for some people with schizophrenia and mood disorders. Particularly, internalized stigma and social relationships dissatisfaction and associated socio-demographic indicators appear to be a risk factor for social isolation for individuals with schizophrenia, which may worsen the course of the disorder. Our findings highlight the importance to develop structured interventions aimed to reduce internalized stigma, and exclusion of those who suffer the loss of their social roles and networks. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  11. Building a profile of subjective well-being for social media users

    Science.gov (United States)

    Kosinski, Michal; Stillwell, David; Davidson, Robert L.

    2017-01-01

    Subjective well-being includes ‘affect’ and ‘satisfaction with life’ (SWL). This study proposes a unified approach to construct a profile of subjective well-being based on social media language in Facebook status updates. We apply sentiment analysis to generate users’ affect scores, and train a random forest model to predict SWL using affect scores and other language features of the status updates. Results show that: the computer-selected features resemble the key predictors of SWL as identified in early studies; the machine-predicted SWL is moderately correlated with the self-reported SWL (r = 0.36, p social media language. PMID:29135991

  12. An Analysis of Cross-Genre and In-Genre Performance for Author Profiling in Social Media

    NARCIS (Netherlands)

    Medvedeva, Masha; Haagsma, Hessel; Nissim, Malvina

    2017-01-01

    User profiling on social media data is normally done within a supervised setting. A typical feature of supervised models that are trained on data from a specific genre, is their limited portability to other genres. Cross-genre models were developed in the context of PAN 2016, where systems were

  13. Matching Profiles from Social Network Sites

    NARCIS (Netherlands)

    Veldman, Irma

    2009-01-01

    In recent years social networking sites have become very popular. Many people are member of one or more of these profile sites and tend to put a lot of informa- tion about themselves online. This often publicly available data can be useful for many purposes. Retrieving all available data from one

  14. Methods of Profile Cloning Detection in Online Social Networks

    Directory of Open Access Journals (Sweden)

    Zabielski Michał

    2016-01-01

    Full Text Available With the arrival of online social networks, the importance of privacy on the Internet has increased dramatically. Thus, it is important to develop mechanisms that will prevent our hidden personal data from unauthorized access and use. In this paper an attempt was made to present a concept of profile cloning detection in Online Social Networks (OSN using Graph and Networks Theory. By analysing structural similarity of network and value of attributes of user personal profile, we will be able to search for attackers which steal our identity.

  15. Social network profiles as information sources for adolescents' offline relations

    OpenAIRE

    Courtois, Cédric; All, Anissa

    2012-01-01

    This paper presents the results of a study concerning the use of profile pages by adolescents to get to know more about offline friends and acquaintances. Previous research has indicated that social network sites are used to gather information on new online contacts. However, several studies have demonstrated a substantial overlap between offline and online social networks. Hence, we question whether online profiles are meaningful in gathering information on these 'offline' friends and acquai...

  16. Domestic Violence: Women’s Profile With Social Care

    Directory of Open Access Journals (Sweden)

    Francisco González Sala

    2010-01-01

    Full Text Available The profile of women having suffered domestic violence is presented. It is based on a study made on 297 women who receive social care from the Valencia Council. 37,3% of the women in this group has suffered domestic violence. The profile of these women, compared with the ones belonging to the same group who don’t suffer domestic violence, is characterized by the following features: non-gypsy ethnic group, one-parent familiar structure, marital status separated, several previous sentimental relationships, and psychological problems. In other features which characterize the women receiving social care, like studies level, labour situation, familiar and non-familiar support, no significant differences where appreciated. Based on the present information’s, advise on prevention and community intervention is considered.

  17. Doctoral Students’ Social Support Profiles and Their Relationship to Burnout, Drop-Out Intentions, and Time to Candidacy

    Directory of Open Access Journals (Sweden)

    Jouni A Peltonen

    2017-08-01

    Full Text Available Aim/Purpose: The primary aim of this study was to better understand the individual variations in supervisory and researcher community support among doctoral students by analyzing the social support profiles of Finnish doctoral students. The differences among the profiles, in terms of satisfaction with supervision, experienced burnout, time to candidacy and disciplinary background were also examined. Background: This study explores social support profiles and their association with the experienced burnout, satisfaction with supervision, drop-out intentions, disciplinary background, and form of dissertation among doctoral students by employing a person-oriented approach. Methodology: In total, 402 doctoral students from a Finnish university completed a Doctoral Experience survey. Latent Profile Analysis (LPA was used to group doctoral students according to social support from supervisors and the researcher community. Contribution: The present study is among the first quantitative studies to explore doctoral student social support profiles and their association with burnout, drop-out intentions, and time to candidacy. It brings into focus the importance of supervisory and researcher community support as one of the most crucial assets of doctoral education in researcher communities. Findings: Two social support profiles, a sufficient support from supervisor and researched community, and b insufficient support from both of these, were identified. Further investigation suggested that the doctoral students who received sufficient support were less likely to suffer from burnout and were less likely to develop drop-out intentions than students who received insufficient support from their supervisor and the researcher community. Recommendations for Practitioners: A recommendation deriving from this research is to identify students at risk as early as possible and assist them with sufficient support.

  18. Consumer profile analysis for different types of meat in Spain.

    Science.gov (United States)

    Escriba-Perez, Carmen; Baviera-Puig, Amparo; Buitrago-Vera, Juan; Montero-Vicente, Luis

    2017-07-01

    It is important to analyse the consumer profile of each type of meat to better adapt the marketing mix to each one. To this end, we examined the average consumption frequency of different types of meat based on two methodologies: consumer segmentation using the food-related lifestyle (FRL) framework, giving rise to 4 segments, and analysis of socio-demographic profiles. The variables used were: sex, age, educational level, social class, number of people in the household, presence of children younger than 18 in the home, geographical area and habitual residence. Beef was the only meat type significant in both analyses. Turkey meat only appeared as significant in the FRL analysis. The other meats (chicken, pork, rabbit and lamb) were only significant in the sociodemographic variables analysis. From the outcomes we may conclude that there is no single consumer profile, which rather depends on the type of meat. Copyright © 2017 Elsevier Ltd. All rights reserved.

  19. Personal Profiles: Enhancing Social Interaction in Learning Networks

    NARCIS (Netherlands)

    Berlanga, Adriana; Bitter-Rijpkema, Marlies; Brouns, Francis; Sloep, Peter; Fetter, Sibren

    2009-01-01

    Berlanga, A. J., Bitter-Rijpkema, M., Brouns, F., Sloep, P. B., & Fetter, S. (2011). Personal Profiles: Enhancing Social Interaction in Learning Networks. International Journal of Web Based Communities, 7(1), 66-82.

  20. Estimation method of the cohesion degree for the users’ profiles of social network based on open data

    Directory of Open Access Journals (Sweden)

    Valentina A. Kataeva

    2017-01-01

    Full Text Available The purpose of research was to study the existing methods of determining the degree of cohesion of two users of social network, identifying their shortcomings and developing a new method. The research identified shortcomings of existing methods and proposed a new method for assessing the degree of cohesion of social network profiles based on open data from a social network. Under the degree of cohesion of users’ profiles is understood the probability of communication (interaction of profile owners in real life, it is calculated for two users of the social network and expressed in percent. The work of the method is demonstrated on the example of the social network “In contact”. This method includes the sequence of the following stages: the first stage is data collection about users of the social network with API and the formation of tuples of users’ profile characteristics. A tuple of characteristics of social network profiles is the data, collected for each user, stored in a structured form.The next step is the analysis of the collected information. For each characteristic of the tuple of profiles, i.e. the possible element of interaction of users in the social network, the coefficient of cohesion by the characteristic is calculated. In addition, for each feature, its informativeness is calculated, i.e. how important is this or that feature in this social network. At the final stage, the results are generated, using the formula for the probability of communication between two users, derived during the investigation. Obtained as a result of the application of the method, the probability of communication between two users can be used to optimize the activities of the operative-search services and special bodies.In addition, the received degree of cohesion of two users can be interpreted as the probability of a channel of information leakage between them. The role of the user of the method can be any private or state organization that cares

  1. Incorporating profile information in community detection for online social networks

    Science.gov (United States)

    Fan, W.; Yeung, K. H.

    2014-07-01

    Community structure is an important feature in the study of complex networks. It is because nodes of the same community may have similar properties. In this paper we extend two popular community detection methods to partition online social networks. In our extended methods, the profile information of users is used for partitioning. We apply the extended methods in several sample networks of Facebook. Compared with the original methods, the community structures we obtain have higher modularity. Our results indicate that users' profile information is consistent with the community structure of their friendship network to some extent. To the best of our knowledge, this paper is the first to discuss how profile information can be used to improve community detection in online social networks.

  2. Social network profiles as information sources for adolescents' offline relations.

    Science.gov (United States)

    Courtois, Cédric; All, Anissa; Vanwynsberghe, Hadewijch

    2012-06-01

    This article presents the results of a study concerning the use of online profile pages by adolescents to know more about "offline" friends and acquaintances. Previous research has indicated that social networking sites (SNSs) are used to gather information on new online contacts. However, several studies have demonstrated a substantial overlap between offline and online social networks. Hence, we question whether online connections are meaningful in gathering information on offline friends and acquaintances. First, the results indicate that a combination of passive uncertainty reduction (monitoring a target's profile) and interactive uncertainty reduction (communication through the target's profile) explains a considerable amount of variance in the level of uncertainty about both friends and acquaintances. More specifically, adolescents generally get to know much more about their acquaintances. Second, the results of online uncertainty reduction positively affect the degree of self-disclosure, which is imperative in building a solid friend relation. Further, we find that uncertainty reduction strategies positively mediate the effect of social anxiety on the level of certainty about friends. This implies that socially anxious teenagers benefit from SNSs by getting the conditions right to build a more solid relation with their friends. Hence, we conclude that SNSs play a substantial role in today's adolescents' everyday interpersonal communication.

  3. Children on Social Media, Twiter and Facebook (profile of Beyonce and Kim Kardashian

    Directory of Open Access Journals (Sweden)

    Anamarija Bilan

    2017-09-01

    Full Text Available Publishing children’s photos in the media violates their privacy right, which is protected, guaranteed and regulated by numerous international and Croatian laws and regulations. Likewise, publishing photos of children on social network profiles, such as Facebook or Twitter, violates the right to privacy. In this paper it will be researched the extent to which children’s photos are being disclosed and their privacy is being undermined in case of two Facebook and two Twitter profiles - Beyonce Knowles and Kim Kardashian. It will also research whether children are used for business purposes, whether they are advertising some of their products or shows, and so on, with the photographs of children. The content analysis methodology analyzed the Facebook and Twitter profiles of two respondents in the period from January 1 to February 22, 2016, during which they published a total of 459 posts on profiles of both networks. The analysis found that the total number of “posts” shows a small number of photographs of children but also that those published by Kim Kardashian are often used to promote or promote some of the products or programs, which violates the privacy of children and increases the number “like”.

  4. Social Networks’ Users: Profiles and Motivations

    Directory of Open Access Journals (Sweden)

    Ana Belo

    2014-09-01

    Full Text Available The present work aims at analyzing the profiles of social networks’ users, having accomplished an online questionnaire. A sample of 230 cases was obtained (limited to a deadline of a thesis that combined this study with another about enterprises’ involvement in social networks. From the socio-demographic data obtained (age, time of day in social networks, level of education and occupational status there are different behaviors. The results highlight the need of harnessing the potential of recruitment and business partnerships/projects through social networks. This is important because the vast majority of respondents use these platforms for more than one year and a significant percentage accesses them every day. Another issue is that mobile phone connection has a significant expression, thus relevant for ubiquitous business or work applications. Regarding the actions performed, besides seeing/sending messages as the most usually done, searching for knowledge (new contents is also expressive what is relevant for innovative initiatives. Regarding the motivation factors, it is interesting that besides communication with friends and meeting old friends, the use of such platforms for professional relations has high importance what corroborates some potentials mentioned.

  5. Behavioural profiles are shaped by social experience: when, how and why.

    Science.gov (United States)

    Sachser, Norbert; Kaiser, Sylvia; Hennessy, Michael B

    2013-05-19

    The comprehensive understanding of individual variation in behavioural profiles is a current and timely topic not only in behavioural ecology, but also in biopsychological and biomedical research. This study focuses on the shaping of behavioural profiles by the social environment in mammals. We review evidence that the shaping of behavioural profiles occurs from the prenatal phase through adolescence and beyond. We focus specifically on adolescence, a sensitive phase during which environmental stimuli have distinctive effects on the modulation of behavioural profiles. We discuss causation, in particular, how behavioural profiles are shaped by social stimuli through behavioural and neuroendocrine processes. We postulate a central role for maternal hormones during the prenatal phase, for maternal behaviour during lactation and for the interaction of testosterone and stress hormones during adolescence. We refer to evolutionary history and attempt to place developmental shaping into broader evolutionary historical trends. Finally, we address survival value. We argue that the shaping of behavioural profiles by environmental stimuli from the prenatal phase through adolescence represents an effective mechanism for repeated and rapid adaptation during the lifetime. Notably, the adolescent phase may provide a last chance for correction if the future environment deviates from that predicted in earlier phases.

  6. [Profile of social problem solving and coping profile in anxious and depressed Chileans].

    Science.gov (United States)

    Kramp, Uwe

    2012-11-01

    According to the Pan American Health Organization and the World Health Organization, in 2020, depression will become the second cause of disability worldwide. In Chile, anxiety and depressive disorders account for almost 28% of the total years of healthy life lost due to illness. This research seeks to explore a profile of social problem solving and coping present in people who suffer from anxious and depressive symptoms. The sample consisted of 1179 analogous Chilean participants (55.9% women), with a mean of 22.23 years (range between 18-48 years). The results suggest statistically significant differences for all social problem solving and coping strategies evaluated. Thus, if anxious or depressive symptoms increase, social problem solving or coping strategies become less adaptive.

  7. When misery avoids company : Selective social comparisons to photographic online profiles

    NARCIS (Netherlands)

    Johnson, Benjamin K.; Knobloch-Westerwick, Silvia

    2017-01-01

    Social networking site usage may affect subjective well-being. Two experiments examined how selective exposure to profiles of other users facilitated mood management via self-enhancing social comparisons. In Study 1, when given detailed impression management cues, such as photographs and status

  8. Leaking privacy and shadow profiles in online social networks

    OpenAIRE

    Garcia, David

    2017-01-01

    Social interaction and data integration in the digital society can affect the control that individuals have on their privacy. Social networking sites can access data from other services, including user contact lists where nonusers are listed too. Although most research on online privacy has focused on inference of personal information of users, this data integration poses the question of whether it is possible to predict personal information of nonusers. This article tests the shadow profile ...

  9. Social Data Analysis Tool

    DEFF Research Database (Denmark)

    Hussain, Abid; Vatrapu, Ravi; Hardt, Daniel

    2014-01-01

    , analyze and visualize patterns of web activity. This volume profiles the latest techniques being employed by social scientists to collect and interpret data from some of the most popular social media applications, the political parties' own online activist spaces, and the wider system of hyperlinks...... and analyze web data in the process of investigating substantive questions....

  10. A Pilot Profile of the Social Entrepreneur in the Constantly Changing Romanian Economy

    Directory of Open Access Journals (Sweden)

    Gabriela Ţigu

    2015-02-01

    Full Text Available Social economy and social entrepreneurship are concepts subject of much debate in the academic environment, as their importance is growing in the present times, when the public sector and business environment alike have demonstrated their incapacity to solve specific social problems, such as conserving local traditions and biodiversity or insertion into the labour market of people from vulnerable groups. This article focuses on social entrepreneurs, by aiming to identify their main motivations in the founding and development of a social enterprise, as well as the main challenges faced in their social entrepreneurial activity in a constantly changing business environment. The paper presents a qualitative research conducted on Romanian social entrepreneurs. The results, interpreted through content analysis, indicate that social entrepreneurs, unlike business entrepreneurs, are not profit-driven, but mission driven, their main objective being to make a difference in the society and have a positive impact in the local communities. Furthermore, the research revealed specific challenges faced by Romanian social entrepreneurs, as well as specific differences between social and business entrepreneurs, who aim strictly achieving economic performance. Considering the limitations and future research directions, the implications of the findings are discussed, the paper outlining a profile of the social entrepreneur that can be useful to the public sector for the development of policies aimed at enhancing this type of entrepreneurship, in a constantly changing social environment.

  11. Social Drinking on Social Media: Content Analysis of the Social Aspects of Alcohol-Related Posts on Facebook and Instagram.

    Science.gov (United States)

    Hendriks, Hanneke; Van den Putte, Bas; Gebhardt, Winifred A; Moreno, Megan A

    2018-06-22

    Alcohol is often consumed in social contexts. An emerging social context in which alcohol is becoming increasingly apparent is social media. More and more young people display alcohol-related posts on social networking sites such as Facebook and Instagram. Considering the importance of the social aspects of alcohol consumption and social media use, this study investigated the social content of alcohol posts (ie, the evaluative social context and presence of people) and social processes (ie, the posting of and reactions to posts) involved with alcohol posts on social networking sites. Participants (N=192; mean age 20.64, SD 4.68 years, 132 women and 54 men) gave researchers access to their Facebook and/or Instagram profiles, and an extensive content analysis of these profiles was conducted. Coders were trained and then coded all screenshotted timelines in terms of evaluative social context, presence of people, and reactions to post. Alcohol posts of youth frequently depict alcohol in a positive social context (425/438, 97.0%) and display people holding drinks (277/412, 67.2%). In addition, alcohol posts were more often placed on participants' timelines by others (tagging; 238/439, 54.2%) than posted by participants themselves (201/439, 45.8%). Furthermore, it was revealed that such social posts received more likes (mean 35.50, SD 26.39) and comments than nonsocial posts (no people visible; mean 10.34, SD 13.19, P<.001). In terms of content and processes, alcohol posts on social media are social in nature and a part of young people's everyday social lives. Interventions aiming to decrease alcohol posts should therefore focus on the broad social context of individuals in which posting about alcohol takes place. Potential intervention strategies could involve making young people aware that when they post about social gatherings in which alcohol is visible and tag others, it may have unintended negative consequences and should be avoided. ©Hanneke Hendriks, Bas Van den

  12. Refining the Classification of Children with Selective Mutism: A Latent Profile Analysis

    Science.gov (United States)

    Cohan, Sharon L.; Chavira, Denise A.; Shipon-Blum, Elisa; Hitchcock, Carla; Roesch, Scott C.; Stein, Murray B.

    2008-01-01

    The goal of this study was to develop an empirically derived classification system for selective mutism (SM) using parent-report measures of social anxiety, behavior problems, and communication delays. The sample consisted of parents of 130 children (ages 5-12) with SM. Results from latent profile analysis supported a 3-class solution made up of…

  13. Steroid profiling in doping analysis

    NARCIS (Netherlands)

    Kerkhof, Daniël Henri van de

    2001-01-01

    Profiling androgens in urine samples is used in doping analysis for the detection of abused steroids of endogenous origin. These profiling techniques were originally developed for the analysis of testosterone, mostly by means of the ratio of testosterone to epitestosterone (T/E ratio). A study was

  14. A Latent Profile Analysis of Latino Parenting: The Infusion of Cultural Values on Family Conflict.

    Science.gov (United States)

    Ayón, Cecilia; Williams, Lela Rankin; Marsiglia, Flavio F; Ayers, Stephanie; Kiehne, Elizabeth

    The purpose of the present study was to (a) examine how acculturation and social support inform Latinos' parenting behaviors, controlling for gender and education; (b) describe parenting styles among Latino immigrants while accounting for cultural elements; and (c) test how these parenting styles are associated with family conflict. A 3 step latent profile analysis with the sample ( N = 489) revealed best fit with a 4 profile model ( n = 410) of parenting: family parenting ( n = 268, 65%), child-centered parenting ( n = 68, 17%), moderate parenting ( n = 60, 15%), and disciplinarian parenting ( n = 14, 3%). Parents' gender, acculturation, and social support significantly predicted profile membership. Disciplinarian and moderate parenting were associated with more family conflict. Recommendations include integrating culturally based parenting practices as a critical element to family interventions to minimize conflict and promote positive youth development.

  15. Gender, Party, and Presentation of Family in the Social Media Profiles of 10 State Legislatures

    Directory of Open Access Journals (Sweden)

    James M. Cook

    2016-04-01

    Full Text Available Recent research has identified neither consistent gendered stereotypes about legislators among constituents, nor a link between legislators’ gender and their electoral success, nor consistent gender coalitions in legislative voting and co-sponsorship. However, it would be premature to declare that gender is irrelevant to legislative politics. This article considers state legislators’ choice to discuss or omit family in their social media profiles and interprets the choice as a gendered presentation of self. The social media platform Twitter is notable for its status as an especially public stage and for the narrow choice that limited profile space imposes. Different strains in gender theory lead to competing predictions: that women will avoid references to family to avoid making gender salient, that women will highlight references to family to avoid backlash for non-normativity, or that differing gender expectations in different political parties lead to different gender effects. Apart from gender, family references may be more or less available to legislators as a function of their own family status and life stage. Analysis of Twitter profiles of state legislators in 10 US states (N = 911 reveals that party and gender effects interact; controlling for family and life stage circumstances, non-Republican women are moderately more likely to mention family than non-Republican men, but Republican women are much less likely to mention family than Republican men. Gender matters in the social media presentation of legislators’ selves, but in a manner strongly conditioned by party expectations.

  16. Social profile and cost analysis of deep infection following total hip replacement surgery

    Directory of Open Access Journals (Sweden)

    Vera Lucia Frazão

    Full Text Available ABSTRACT OBJECTIVE: To characterize the socio-economic and demographic profile of patients undergoing surgery for revision total hip arthroplasty regarding the diagnosis of deep prosthetic infection. METHODS: Twenty patients were retrospectively studied, admitted in the period between 2009 and 2010 by the Hip Surgery Group with the diagnosis of deep prosthetic infection, whose proposed treatment was surgical. This study was carried out in the presence of the patient by completing two forms applied by the social worker of the Group. RESULTS: In a 20-patient sample, 40% were male, 45% were working age, 50% of patients originated from the capital, 85% depended on benefits, 70% were retired, 60% of patients were from this hospital, and 40% were from other services. The average cost of patients to the public system was R$ 55,821.62 per patient and the total spent on treatment of patients in the study exceeded one million Brazilian reals, totalling R$ 1,116,432.40. CONCLUSION: Infection from total hip arthroplasty generates a major expense to the social security system and to the public healthcare system. Physicians must always be alert to the possible risk factors and perioperative care, striving to minimize this complication.

  17. First experiences of full-profile analysis with GUISDAP

    Directory of Open Access Journals (Sweden)

    M. S. Lehtinen

    Full Text Available In this paper we summarize the theory behind full-profile analysis of IS measurements and report first practical experiences with the GUISDAP (Grand Unified Incoherent Scatter Design and Analysis Package system designed to perform full-profile analysis of any IS measurements efficiently. By fitting whole plasma parameter profiles over the ionosphere, instead of point values of the parameters supposed to be approximately constant over small range intervals, full-profile analysis is free of underlying assumptions about the slow variation of the plasma parameters as a function of range. We define full-profile analysis as a mathematical inversion problem formalism and explain how it differs from the traditional gated analysis. Moreover, we study the bias introduced to traditional analysis results using realistic model ionospheres. By applying the full-profile method to data generated from the model ionospheres, we demonstrate that full-profile analysis is free from this kind of bias. Lastly, an example of analysis of real data by full-profile and gated analyses is shown.

  18. First experiences of full-profile analysis with GUISDAP

    Directory of Open Access Journals (Sweden)

    M. S. Lehtinen

    1996-12-01

    Full Text Available In this paper we summarize the theory behind full-profile analysis of IS measurements and report first practical experiences with the GUISDAP (Grand Unified Incoherent Scatter Design and Analysis Package system designed to perform full-profile analysis of any IS measurements efficiently. By fitting whole plasma parameter profiles over the ionosphere, instead of point values of the parameters supposed to be approximately constant over small range intervals, full-profile analysis is free of underlying assumptions about the slow variation of the plasma parameters as a function of range. We define full-profile analysis as a mathematical inversion problem formalism and explain how it differs from the traditional gated analysis. Moreover, we study the bias introduced to traditional analysis results using realistic model ionospheres. By applying the full-profile method to data generated from the model ionospheres, we demonstrate that full-profile analysis is free from this kind of bias. Lastly, an example of analysis of real data by full-profile and gated analyses is shown.

  19. Leaking privacy and shadow profiles in online social networks.

    Science.gov (United States)

    Garcia, David

    2017-08-01

    Social interaction and data integration in the digital society can affect the control that individuals have on their privacy. Social networking sites can access data from other services, including user contact lists where nonusers are listed too. Although most research on online privacy has focused on inference of personal information of users, this data integration poses the question of whether it is possible to predict personal information of nonusers. This article tests the shadow profile hypothesis, which postulates that the data given by the users of an online service predict personal information of nonusers. Using data from a disappeared social networking site, we perform a historical audit to evaluate whether personal data of nonusers could have been predicted with the personal data and contact lists shared by the users of the site. We analyze personal information of sexual orientation and relationship status, which follow regular mixing patterns in the social network. Going back in time over the growth of the network, we measure predictor performance as a function of network size and tendency of users to disclose their contact lists. This article presents robust evidence supporting the shadow profile hypothesis and reveals a multiplicative effect of network size and disclosure tendencies that accelerates the performance of predictors. These results call for new privacy paradigms that take into account the fact that individual privacy decisions do not happen in isolation and are mediated by the decisions of others.

  20. Social network profiles as information sources for adolescents' offline relations

    OpenAIRE

    Courtois, Cédric; All, Anissa; Vanwynsberghe, Hadewijch

    2012-01-01

    This paper presents the results of a study concerning the use of online profile pages by adolescents to know more about “offline” friends and acquaintances. Previous research has indicated that social networking sites (SNSs) are used to gather information on new online contacts. However, several studies have demonstrated a substantial overlap between offline and online social networks. Hence, we question whether online connections are meaningful in gathering information on offline friends and...

  1. Friend or Foe? Fake Profile Identification in Online Social Networks

    OpenAIRE

    Fire, Michael; Kagan, Dima; Elyashar, Aviad; Elovici, Yuval

    2013-01-01

    The amount of personal information unwillingly exposed by users on online social networks is staggering, as shown in recent research. Moreover, recent reports indicate that these networks are infested with tens of millions of fake users profiles, which may jeopardize the users' security and privacy. To identify fake users in such networks and to improve users' security and privacy, we developed the Social Privacy Protector software for Facebook. This software contains three protection layers,...

  2. Use of the "Intervention Selection Profile-Social Skills" to Identify Social Skill Acquisition Deficits: A Preliminary Validation Study

    Science.gov (United States)

    Kilgus, Stephen P.; von der Embse, Nathaniel P.; Scott, Katherine; Paxton, Sara

    2015-01-01

    The purpose of this investigation was to develop and initially validate the "Intervention Selection Profile-Social Skills" (ISP-SS), a novel brief social skills assessment method intended for use at Tier 2. Participants included 54 elementary school teachers and their 243 randomly selected students. Teachers rated students on two rating…

  3. Burnout in Health Professionals According to Their Self-Esteem, Social Support and Empathy Profile

    OpenAIRE

    María del Mar Molero Jurado; María del Carmen Pérez-Fuentes; José Jesús Gázquez Linares; José Jesús Gázquez Linares; Ana Belén Barragán Martín

    2018-01-01

    Introduction: Professionals in the healthcare field are in situations that could be a source of stress and sometimes develop burnout syndrome. Self-esteem, social support, and empathy are variables which intervene and influence the appearance of this syndrome.Objective: Identify healthcare professional profiles based on self-esteem, empathy and perceived social support, and analyze the extent to which these profiles show differences in developing burnout.Method: The sample was made up of 719 ...

  4. The Social Connectedness of Older Adults: A National Profile*

    Science.gov (United States)

    Cornwell, Benjamin; Laumann, Edward O.; Schumm, L. Philip

    2008-01-01

    For decades, scholars have wrestled with the notion that old age is characterized by social isolation. However, there has been no systematic, nationally representative evaluation of this possibility in terms of social network connectedness. In this paper, the authors develop a profile of older adults’ social integration with respect to nine dimensions of connectedness to interpersonal networks and voluntary associations. The authors use new data from the National Social Life, Health, and Aging Project (NSHAP), a population-based study of non-institutionalized older Americans aged 57–85 conducted in 2005–2006. Findings suggest that among older adults, age is negatively related to network size, closeness to network members, and number of non-primary-group ties. On the other hand, age is positively related to frequency of socializing with neighbors, religious participation, and volunteering. In addition, it has a U-shaped relationship with volume of contact with network members. These findings are inconsistent with the notion that old age has a universal negative influence on social connectedness. Instead, life course factors have divergent consequences for different forms of social connectedness. Some later life transitions, like retirement and bereavement, may prompt greater connectedness. The authors close by urging increased dialogue between social gerontological and social network research. PMID:19018292

  5. An examination of social interaction profiles based on the factors measured by the screen for social interaction.

    Science.gov (United States)

    Mahoney, Emery B; Breitborde, Nicholas J K; Leone, Sarah L; Ghuman, Jaswinder Kaur

    2014-10-01

    Deficits in the capacity to engage in social interactions are a core deficit associated with Autistic Disorder (AD) and Pervasive Developmental Disorder-Not Otherwise Specified (PDD-NOS). These deficits emerge at a young age, making screening for social interaction deficits and interventions targeted at improving capacity in this area important for early identification and intervention. Screening and early intervention efforts are particularly important given the poor short and long term outcomes for children with Autism Spectrum Disorders (ASDs) who experience social interaction deficits. The Screen for Social Interaction (SSI) is a well-validated screening measure that examines a child's capacity for social interaction using a developmental approach. The present study identified four underlying factors measured by the SSI, namely, Connection with Caregiver, Interaction/Imagination, Social Approach/Interest, and Agreeable Nature. The resulting factors were utilized to compare social interaction profiles across groups of children with AD, PDD-NOS, children with non-ASD developmental and/or psychiatric conditions and typically developing children. The results indicate that children with AD and those with PDD-NOS had similar social interaction profiles, but were able to be distinguished from typically developing children on every factor and were able to be distinguished from children with non-ASD psychiatric conditions on every factor except the Connection with Caregiver factor. In addition, children with non-ASD developmental and/or psychiatric conditions could be distinguished from typically developing children on the Connection with Caregiver factor and the Social Approach/Interest factor. These findings have implications for screening and intervention for children with ASDs and non-ASD psychiatric conditions. Copyright © 2014 Elsevier Ltd. All rights reserved.

  6. Social Set Analysis

    DEFF Research Database (Denmark)

    Vatrapu, Ravi; Mukkamala, Raghava Rao; Hussain, Abid

    2016-01-01

    , conceptual and formal models of social data, and an analytical framework for combining big social data sets with organizational and societal data sets. Three empirical studies of big social data are presented to illustrate and demonstrate social set analysis in terms of fuzzy set-theoretical sentiment...... automata and agent-based modeling). However, when it comes to organizational and societal units of analysis, there exists no approach to conceptualize, model, analyze, explain, and predict social media interactions as individuals' associations with ideas, values, identities, and so on. To address...... analysis, crisp set-theoretical interaction analysis, and event-studies-oriented set-theoretical visualizations. Implications for big data analytics, current limitations of the set-theoretical approach, and future directions are outlined....

  7. Social Set Analysis

    DEFF Research Database (Denmark)

    Vatrapu, Ravi; Hussain, Abid; Buus Lassen, Niels

    2015-01-01

    of Facebook or Twitter data. However, there exist no other holistic computational social science approach beyond the relational sociology and graph theory of SNA. To address this limitation, this paper presents an alternative holistic approach to Big Social Data analytics called Social Set Analysis (SSA......This paper argues that the basic premise of Social Network Analysis (SNA) -- namely that social reality is constituted by dyadic relations and that social interactions are determined by structural properties of networks-- is neither necessary nor sufficient, for Big Social Data analytics...

  8. A Latent Profile Analysis of Latino Parenting: The Infusion of Cultural Values on Family Conflict

    OpenAIRE

    Ayón, Cecilia; Williams, Lela Rankin; Marsiglia, Flavio F.; Ayers, Stephanie; Kiehne, Elizabeth

    2015-01-01

    The purpose of the present study was to (a) examine how acculturation and social support inform Latinos’ parenting behaviors, controlling for gender and education; (b) describe parenting styles among Latino immigrants while accounting for cultural elements; and (c) test how these parenting styles are associated with family conflict. A 3 step latent profile analysis with the sample (N = 489) revealed best fit with a 4 profile model (n = 410) of parenting: family parenting (n = 268, 65%), child...

  9. A REVIEW PAPER ON PROFILE CLONE DETECTION IN SOCIAL NETWORKS

    OpenAIRE

    Akshay Sharma*, Dr. Sanjeev Dhawan, Dr. Kulvinder Singh

    2016-01-01

    An online social network is used day by day. Social networking is one of the trendiest Internet behaviors, with billions of users from around the humanity. The times use up on public networking sites like facebook, twitter or LinkedIn is frequently increasing at a notable rate. At the similar time, peoples fill their online profile with an overload of information that aims at providing a complete and faultless representation of them. Attackers may duplicate a user’s online existence in the sa...

  10. POSTER: Privacy-Preserving Profile Similarity Computation in Online Social Networks

    NARCIS (Netherlands)

    Jeckmans, Arjan; Tang, Qiang; Hartel, Pieter H.

    2011-01-01

    Currently, none of the existing online social networks (OSNs) enables its users to make new friends without revealing their private information. This leaves the users in a vulnerable position when searching for new friends. We propose a solution which enables a user to compute her profile similarity

  11. Boundaries to the articulation of possible selves through social networking sites: the case of Facebook profilers' social connectedness

    OpenAIRE

    Zwier, S.; Araujo, T.; Boukes, M.; Willemsen, L.

    2011-01-01

    This study aims to contribute to an emerging literature that seeks to understand how identity markers on social networking sites (SNSs) shape interpersonal impressions, and particularly the boundaries that SNSs present for articulating unconstrained 'hoped-for possible selves.' An experiment employing mock-up Facebook profiles was conducted, showing that appearing with friends on a Facebook profile picture as well as increasingly higher number of Facebook friends strengthened perceptions of a...

  12. Beware of Selfies: The Impact of Photo Type on Impression Formation Based on Social Networking Profiles.

    Science.gov (United States)

    Krämer, Nicole C; Feurstein, Markus; Kluck, Jan P; Meier, Yannic; Rother, Marius; Winter, Stephan

    2017-01-01

    Users of social networking sites such as Facebook frequently post self-portraits on their profiles. While research has begun to analyze the motivations for posting such pictures, less is known about how selfies are evaluated by recipients. Although producers of selfies typically aim to create a positive impression, selfies may also be regarded as narcissistic and therefore fail to achieve the intended goal. The aim of this study is to examine the potentially ambivalent reception of selfies compared to photos taken by others based on the Brunswik lens model Brunswik (1956). In a between-subjects online experiment ( N = 297), Facebook profile mockups were shown which differed with regard to picture type (selfie vs. photo taken by others), gender of the profile owner (female vs. male), and number of individuals within a picture (single person vs. group). Results revealed that selfies were indeed evaluated more negatively than photos taken by others. Persons in selfies were rated as less trustworthy, less socially attractive, less open to new experiences, more narcissistic and more extroverted than the same persons in photos taken by others. In addition, gender differences were observed in the perception of pictures. Male profile owners were rated as more narcissistic and less trustworthy than female profile owners, but there was no significant interaction effect of type of picture and gender. Moreover, a mediation analysis of presumed motives for posting selfies revealed that negative evaluations of selfie posting individuals were mainly driven by the perceived motivation of impression management. Findings suggest that selfies are likely to be evaluated less positively than producers of selfies might suppose.

  13. Individual Profiling Using Text Analysis

    Science.gov (United States)

    2016-04-15

    AFRL-AFOSR-UK-TR-2016-0011 Individual Profiling using Text Analysis 140333 Mark Stevenson UNIVERSITY OF SHEFFIELD, DEPARTMENT OF PSYCHOLOGY Final...REPORT TYPE      Final 3.  DATES COVERED (From - To)      15 Sep 2014 to 14 Sep 2015 4.  TITLE AND SUBTITLE Individual Profiling using Text Analysis ...consisted of collections of tweets for a number of Twitter users whose gender, age and personality scores are known. The task was to construct some system

  14. Internet and social network users' profiles in Renal Transplant Recipients in France.

    Science.gov (United States)

    Mouelhi, Yosra; Alessandrini, Marine; Pauly, Vanessa; Dussol, Bertrand; Gentile, Stéphanie

    2017-08-03

    The use of the Internet for searching and sharing health information and for health care interactions may have a great potential for Renal Transplant Recipients (RTR). This study aims to determine the characteristics associated with Internet and social network use in a representative sample of RTR at the time of their inclusion in the study. Data of this cross-sectional design is retrieved from a longitudinal study conducted in five French kidney transplant centers in 2011, and included Renal Transplant Recipients aged 18 years with a functioning graft for at least 1 year. Measures include demographic characteristics (age, gender, level of education, employment status, living arrangement, having children, invalidity and monthly incomes in the household), psycho-social characteristics measured by the perceived social support questionnaire, and medical characteristics (previous dialysis treatment, duration since transplantation, graft rejection episodes, chronic graft dysfunction, health status and comorbidities: neoplasia for the current transplant, hypertension, diabetes mellitus, smoking status, BMI > 30 kg/m 2 and Charlson Comorbidity Index (CCI)). Polytomous linear regression analysis was performed to describe the Internet and social network users' profiles, using lack of Internet access as the comparison category. Among the 1416 RTR participating in the study, 20.1% had no Internet access in the household, 29.4% connected to social networks and 50.5% were not connected to social networks. Patients who connected the most to the Internet and social networks were younger, male, without children, employed, with high monthly incomes in the household, without hypertension and having felt a need for an informative or an esteem support. In our study, the majority of RTR were actively using Internet and social networks. Renal transplant units should develop flexible and Web-based sources related to transplant information, which will allow a rapid adaptation to

  15. A Confirmatory Factor Analysis of Home Environment and Home Social Behavior Data from the Elementary School Success Profile for Families

    Science.gov (United States)

    Wegmann, Kate M.; Thompson, Aaron M.; Bowen, Natasha K.

    2011-01-01

    The purpose of the current study was to test the factor structure and scale quality of data provided by caregivers about the home environment and child behavior at home using the Elementary School Success Profile (ESSP) for Families. The ESSP for Families is one component of the ESSP, an online social-environmental assessment that also collects…

  16. What does your profile picture say about you?:the accuracy of thin-slice personality judgments from social networking sites made at zero-acquaintance

    OpenAIRE

    Turner, Mark; Hunt, Natalie

    2014-01-01

    The study investigates impressions formed through social networking sites, specifically the initial judgments we make of others when first momentarily exposed to their photograph. The personality characteristics of 52 Female Facebook profile owners were evaluated by a group of raters who briefly viewed the current profile picture of each person. Analysis revealed consensus between raters when judging personality attributes, although self-other agreement was low: raters' judgments correlated w...

  17. Diagnose Test-Taker's Profile in Terms of Core Profile Patterns: Principal Component (PC) vs. Profile Analysis via MDS (PAMS) Approaches.

    Science.gov (United States)

    Kim, Se-Kang; Davison, Mark L.

    A study was conducted to examine how principal components analysis (PCA) and Profile Analysis via Multidimensional Scaling (PAMS) can be used to diagnose individuals observed score profiles in terms of core profile patterns identified by each method. The standardization sample from the Wechsler Intelligence Scale for Children, Third Edition…

  18. Profiles of children's social-emotional health at school entry and associated income, gender and language inequalities: a cross-sectional population-based study in British Columbia, Canada.

    Science.gov (United States)

    Thomson, Kimberly C; Guhn, Martin; Richardson, Chris G; Ark, Tavinder K; Shoveller, Jean

    2017-07-26

    Early identification of distinct patterns of child social-emotional strengths and vulnerabilities has the potential to improve our understanding of child mental health and well-being; however, few studies have explored natural groupings of indicators of child vulnerability and strengths at a population level. The purpose of this study was to examine heterogeneity in the patterns of young children's social and emotional health and investigate the extent to which sociodemographic characteristics were associated. Cross-sectional study based on a population-level cohort. All kindergarten children attending public schools between 2004 and 2007 in British Columbia (BC), Canada. 35 818 kindergarten children (age of 5 years) with available linked data from the Early Development Instrument (EDI), BC Ministry of Health and BC Ministry of Education. We used latent profile analysis (LPA) to identify distinct profiles of social-emotional health according to children's mean scores across eight social-emotional subscales on the EDI, a teacher-rated measure of children's early development. Subscales measured children's overall social competence, responsibility and respect, approaches to learning, readiness to explore, prosocial behaviour, anxiety, aggression and hyperactivity. Six social-emotional profiles were identified: (1) overall high social-emotional functioning, (2) inhibited-adaptive (3) uninhibited-adaptive, (4) inhibited-disengaged, (5) uninhibited-aggressive/hyperactive and (6) overall low social-emotional functioning. Boys, children with English as a second language (ESL) status and children with lower household income had higher odds of membership to the lower social-emotional functioning groups; however, this association was less negative among boys with ESL status. Over 40% of children exhibited some vulnerability in early social-emotional health, and profiles were associated with sociodemographic factors. Approximately 9% of children exhibited multiple co

  19. Polysome Profile Analysis - Yeast

    Czech Academy of Sciences Publication Activity Database

    Pospíšek, M.; Valášek, Leoš Shivaya

    2013-01-01

    Roč. 530, č. 2013 (2013), s. 173-181 ISSN 0076-6879 Institutional support: RVO:61388971 Keywords : grow yeast cultures * polysome profile analysis * sucrose density gradient centrifugation Subject RIV: CE - Biochemistry Impact factor: 2.194, year: 2013

  20. Network-based analysis of proteomic profiles

    KAUST Repository

    Wong, Limsoon

    2016-01-26

    Mass spectrometry (MS)-based proteomics is a widely used and powerful tool for profiling systems-wide protein expression changes. It can be applied for various purposes, e.g. biomarker discovery in diseases and study of drug responses. Although RNA-based high-throughput methods have been useful in providing glimpses into the underlying molecular processes, the evidences they provide are indirect. Furthermore, RNA and corresponding protein levels have been known to have poor correlation. On the other hand, MS-based proteomics tend to have consistency issues (poor reproducibility and inter-sample agreement) and coverage issues (inability to detect the entire proteome) that need to be urgently addressed. In this talk, I will discuss how these issues can be addressed by proteomic profile analysis techniques that use biological networks (especially protein complexes) as the biological context. In particular, I will describe several techniques that we have been developing for network-based analysis of proteomics profile. And I will present evidence that these techniques are useful in identifying proteomics-profile analysis results that are more consistent, more reproducible, and more biologically coherent, and that these techniques allow expansion of the detected proteome to uncover and/or discover novel proteins.

  1. The Role of Religiousness/Spirituality in Health-Related Quality of Life Among Adolescents with HIV: A Latent Profile Analysis.

    Science.gov (United States)

    Lyon, Maureen E; Kimmel, Allison L; Cheng, Yao Iris; Wang, Jichuan

    2016-10-01

    The purpose of this study was to determine whether distinct latent profiles of religiousness/spirituality exist for ALWH, and if so, are latent profile memberships associated with health-related quality of life (HRQoL). Latent profile analysis of religiosity identified four profiles/groups. Compared to the other three groups, higher levels of emotional well-being were found among young perinatally infected adolescents who attended religious services, but who did not pray privately, feel God's presence or identify as religious or spiritual. Social HRQoL was significantly higher among the highest overall religious/spiritual group. Understanding adolescent profiles of religiousness/spirituality on HRQoL could inform faith-based interventions. Trial registration NCT01289444.

  2. Agresividad, prosocialidad y estatus social: identificando perfiles admirados entre preadolescentes chilenos (Aggressiveness, pro-Sociality and Social Status: Identifying Admired Profiles among Preadolescents in Chile (Agressivité, prosocialité et statut social: Identifiant les profiles admirés parmi les préadolescents chiliens (Agressividade, pró-socialidade e status social: Identificando perfis admirados entre pré-adolescentes chilenos

    Directory of Open Access Journals (Sweden)

    Christian Berger

    2011-12-01

    influence their peers, are those with such a profile. 274 pupils of 5th and 6th grades participated in the survey. the results reveal that the most common feature among admired adolescents is pro-sociality, followed by social prominence. However, two profiles of admired adolescents were identified that stand out by aggression: the “strong” profile includes, besides pro-sociality and social prominence, high scores on aggressi- veness and popularity, while the profile called “model” includes, besides pro-sociality and social prominence, very low scores on aggressiveness and moderate scores on popularity. Differences between sexes are addressed. the results are discussed from the viewpoint of peer relations and possible implications for individual and group development among adolescents.RésuméA partir de la croissante évidence de l′association entre l′agressivité et la prosocialité avec les indicateurs de statut social, l′étude aborde l′admiration entre pairs adolescentes en tant qu′une manière d′opérer le statut et d′évaluer le caractère potentiel et fonctionnel de ces conduites sociales. L′hypothèse dirigeant cette étude est que l′agressivité et la prosocialité sont des ca- ractéristiques estimées dans le contexte de pairs (en base à son association avec le statut, les adolescents admirés, qui peuvent exercer une grande influence sur leurs pairs, seront ceux qui présentent ce profil. 274 étudiants de 5ème et 6ème ont participés de l′étude. Les résultats montrent que la caractéristique avec la plus importante présence parmi les adolescents admi- rés est la prosocialité et ensuite la proéminence sociale. Cependant, on identifie deux profils d′adolescents admirés qui se distinguent notamment par l′agressivité: le profil “fort” inclut en plus de la prosocialité et la proéminence sociale hauts scores en agressivité et popularité, alors que le profil nommé “modèle” intègre en plus de la prosocialité et

  3. Will opposites attract? Similarities and differences in students' perceptions of the stereotype profiles of other health and social care professional groups.

    Science.gov (United States)

    Hean, Sarah; Clark, Jill Macleod; Adams, Kim; Humphris, Debra

    2006-03-01

    The extent to which health and social care (HSC) students hold stereotypical views of other HSC professional groups is of great potential importance to team working in health care. This paper explores students' perceptions of different HSC professional groups at the beginning of their university programmes. Findings are presented from an analysis of baseline data collected as part of the New Generation Project longitudinal cohort study which is assessing the impact of interprofessional education over time on a range of variables including stereotyping. Questionnaires were administered to a cohort of over 1200 students from 10 different HSC professional groups entering their first year of university. Stereotypes were measured using a tool adapted from Barnes et al. (2000) designed to elicit stereotype ratings on a range of nine characteristics. The findings confirm that students arrive at university with an established and consistent set of stereotypes about other health and social care professional groups. Stereotypical profiles were compiled for each professional group indicating the distinctive characteristics of the groups as well as the similarities and differences between groups.Midwives, social workers and nurses were rated most highly on interpersonal skills and on being a team player whilst doctors were rated most highly on academic ability. Doctors, midwives and social workers were perceived as having the strongest leadership role, whilst doctors were also rated most highly on decision making. All professions were rated highly on confidence and professional competence and, with the exception of social workers, on practical skills. A comparison of profiles for each professional group reveals that, for example, pharmacists and doctors were perceived as having very similar characteristics as were social workers, midwives and nurses. However, the profiles of nurses and doctors were perceived to be very different. The implications of these similarities and

  4. Patterns of stigma toward schizophrenia among the general population: a latent profile analysis.

    Science.gov (United States)

    Loch, Alexandre A; Wang, Yuan-Pang; Guarniero, Francisco B; Lawson, Fabio L; Hengartner, Michael P; Rössler, Wulf; Gattaz, Wagner F

    2014-09-01

    Our purpose was to assess stigma toward schizophrenia in a representative sample of the Brazilian general population. The sample consisted of 1015 individuals interviewed by telephone. A vignette describing someone with schizophrenia was read, and four stigma aspects regarding this hypothetical individual were assessed: stereotypes, restrictions, perceived prejudice and social distance. Latent profile analysis searched for stigma profiles among the sample. Multinomial logistic regression was used to find correlates of each class. Four stigma profiles were found; 'no stigma' individuals (n = 251) mostly displayed positive opinions. 'Labelers' (n = 222) scored high on social distance; they more often had familial contact with mental illness and more often labeled the vignette's disorder as schizophrenia. 'Discriminators', the group with the majority of individuals (n = 302), showed high levels of stigmatizing beliefs in all dimensions; discriminators were significantly older. 'Unobtrusive stigma' individuals (n = 240) seemed to demonstrate uncertainty or low commitment since they mostly answered items with the middle/impartial option. Some findings from the international literature were replicated; however, familial contact increased stigma, possibly denoting a locally modulated determinant. Hereby, our study also adds important cross-cultural data by showing that stigma toward schizophrenia is high in a Latin-American setting. We highlight the importance of analyzing the general population as a heterogeneous group, aiming to better elaborate anti-stigma campaigns. © The Author(s) 2013.

  5. High throughput analysis reveals dissociable gene expression profiles in two independent neural systems involved in the regulation of social behavior

    Directory of Open Access Journals (Sweden)

    Stevenson Tyler J

    2012-10-01

    Full Text Available Abstract Background Production of contextually appropriate social behaviors involves integrated activity across many brain regions. Many songbird species produce complex vocalizations called ‘songs’ that serve to attract potential mates, defend territories, and/or maintain flock cohesion. There are a series of discrete interconnect brain regions that are essential for the successful production of song. The probability and intensity of singing behavior is influenced by the reproductive state. The objectives of this study were to examine the broad changes in gene expression in brain regions that control song production with a brain region that governs the reproductive state. Results We show using microarray cDNA analysis that two discrete brain systems that are both involved in governing singing behavior show markedly different gene expression profiles. We found that cortical and basal ganglia-like brain regions that control the socio-motor production of song in birds exhibit a categorical switch in gene expression that was dependent on their reproductive state. This pattern is in stark contrast to the pattern of expression observed in a hypothalamic brain region that governs the neuroendocrine control of reproduction. Subsequent gene ontology analysis revealed marked variation in the functional categories of active genes dependent on reproductive state and anatomical localization. HVC, one cortical-like structure, displayed significant gene expression changes associated with microtubule and neurofilament cytoskeleton organization, MAP kinase activity, and steroid hormone receptor complex activity. The transitions observed in the preoptic area, a nucleus that governs the motivation to engage in singing, exhibited variation in functional categories that included thyroid hormone receptor activity, epigenetic and angiogenetic processes. Conclusions These findings highlight the importance of considering the temporal patterns of gene expression

  6. Functional interactivity in social media: an examination of Chinese health care organizations' microblog profiles.

    Science.gov (United States)

    Jiang, Shaohai

    2017-09-08

    Social media hold enormous potentials as a communication tool for health care due to its interactive nature. However, prior research mainly focused on contingency interactivity of social media, by examining messages sent from health care organizations to audiences, while little is known about functional interactivity, which refers to social media's presence of functions for facilitating communication between users and its interface. That is, how health care organizations use interactive features on social media to communicate with the public. Thus, with a general basis of the functional interactivity framework proposed by Waters et al. (Engaging stakeholders through social networking: how nonprofit organizations are using Facebook. Pub Relat Rev 2009;35:102-106), the current study investigated three aspects of functional interactivity in microblogging, and its subsequent effects. Specifically, this study analyzed 500 Chinese hospitals' profiles on Sina Weibo, the most popular microblogging platform in China. The results showed that the most common functional interactivity feature was organization disclosure, followed by information dissemination, and audience involvement. These interactive features all positively predicted the number of followers. Also, Chinese private hospitals scored significantly higher than public hospitals to use interactive features offered by social media. The findings of this study provide important implications for health care organizations to understand new communicative functions available on social media, incorporate more functions into their profiles and thus provide audiences with greater opportunity to interact with them via social media. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  7. Analysis of adolescent profiles by gender: strengths, attitudes toward violence and sexism.

    Science.gov (United States)

    Ferragut, Marta; Blanca, Maria J; Ortiz-Tallo, Margarita

    2014-02-20

    The present study analyzes the profiles of boys and girls, considering gender, in the early stages of adolescence in the variables of character strengths, attitudes toward diversity and violence, and sexism. The aim is to explore the gender differences, whether the variables in each set differ from one another and whether these differences are maintained in profiles for boys and girls. The participants were 527 students (mean age = 12.21 and SD = 0.53) from the city of Málaga (Spain). Profile analysis was used to analyze data. The results, using an alpha of 0.0021 for each contrast, indicate that boys and girls differ in their character strengths, particularly in the case of girls, whose prominent strengths relate to pro-social behavior and peer relationships, where Cohen´s d are higher than .30. Moreover, boys justify attitudes of violence to a greater extent (Cohen´s d from .44 to .81) and show greater agreement with sexist beliefs (d = .63). The research suggests that it would be of interest to encourage advancement in character strengths at this age.

  8. PROFILE SOCIAL CLASS OF INDIVIDUALS ASSISTED IN A SOCIAL ORGANIZATION IN THE CAMAÇARI-BA CITY

    Directory of Open Access Journals (Sweden)

    Milene de Andrade Carvalho

    2012-04-01

    Full Text Available The city of Camaçari-Ba in the Bahia is considered the biggest territory of the region metropolitan area of Salvador-B. This population has presented considerable growth in the Human Development Index (HDI, with magnifying of the life expectancy and industrial cycle. The biggest social organization situated in the city and considered satate reference of social inclusion are develops entailed diverse actions to the participation of the city departments, except on actions to the healt secretariat. This study one is about a research of transverse whose objective was to identify the profile of 227 individuals assisted by social organization Prof. Raimundo Pinheiro, located in the mentioned city. The results had indicated the presence of a predominant age range next to 60 years, the relation between income and scholarity, the high frequency of chronic pain and relation enters the chronic use of drugs, activities of daily life and occupational activities. It is necessary that the activities of the social organization contemplate the logic of the intersectoral and include secretariat of health in its organizational politics.

  9. Analysis of BSRT Profiles in the LHC at Injection

    CERN Document Server

    Fitterer, M; Papadopoulou, S; Papaphilippou, Y; Redaelli, S

    2017-01-01

    The beam synchrotron radiation telescope (BSRT) at the LHC allows to take profiles of the transverse beam distribution, which can provide useful additional insight in the evolution of the transverse beam distribution. A python class has been developed [1], which allows to read in the BSRT profiles, usually stored in binary format, run different analysis tools and generate plots of the statistical parameters and profiles as well as videos of the the profiles. The detailed analysis will be described in this note. The analysis is based on the data obtained at injection energy (450 GeV) during MD1217 [2] and MD1415 [3] which will be also used as illustrative example. A similar approach is also taken with a MATLAB based analysis described in [4].

  10. Personal summarization from profile networks

    Institute of Scientific and Technical Information of China (English)

    Zhongqing WANG; Shoushan LI; Guodong ZHOU

    2017-01-01

    Personal profile information on social media like Linkedln.com and Facebook.com is at the core of many interesting applications,such as talent recommendation and contextual advertising.However,personal profiles usually lack consistent organization confronted with the large amount of available information.Therefore,it is always a challenge for people to quickly find desired information from them.In this paper,we address the task of personal profile summarization by leveraging both textual information and social connection information in social networks from both unsupervised and supervised learning paradigms.Here,using social connection information is motivated by the intuition that people with similar academic,business or social background (e.g.,comajor,co-university,and co-corporation) tend to have similar experiences and should have similar summaries.For unsupervised learning,we propose a collective ranking approach,called SocialRank,to combine textual information in an individual profile and social context information from relevant profiles in generating a personal profile summary.For supervised learning,we propose a collective factor graph model,called CoFG,to summarize personal profiles with local textual attribute functions and social connection factors.Extensive evaluation on a large dataset from LinkedIn.com demonstrates the usefulness of social connection information in personal profile summarization and the effectiveness of our proposed unsupervised and supervised learning approaches.

  11. Applications of social media and social network analysis

    CERN Document Server

    Kazienko, Przemyslaw

    2015-01-01

    This collection of contributed chapters demonstrates a wide range of applications within two overlapping research domains: social media analysis and social network analysis. Various methodologies were utilized in the twelve individual chapters including static, dynamic and real-time approaches to graph, textual and multimedia data analysis. The topics apply to reputation computation, emotion detection, topic evolution, rumor propagation, evaluation of textual opinions, friend ranking, analysis of public transportation networks, diffusion in dynamic networks, analysis of contributors to commun

  12. Anxiety and oppositional behavior profiles among youth with selective mutism.

    Science.gov (United States)

    Diliberto, Rachele A; Kearney, Christopher A

    2016-01-01

    Selective mutism (SM) is a debilitating condition in which a child does not speak in social situations where speech is expected. The clinical conceptualization of SM has been debated historically, with evidence pointing partly to anxious and oppositional behavior profiles. Behavioral characteristics were examined in a clinical sample of 57 youth formally diagnosed with selective mutism. Parents rated children across internalizing and externalizing behaviors on the Child Behavior Checklist. Eighteen highly rated items were subjected to exploratory and then confirmatory factor analysis. Anxiety and oppositional behavior factors were derived. The anxious behavior profile was associated with social anxiety disorder symptoms, social problems, and aggressive behaviors but not oppositional defiant disorder symptoms. The oppositional behavior profile was associated with aggressive behaviors, oppositional defiant disorder symptoms, social problems, and inversely to social anxiety disorder symptoms. Results are consistent with emerging research regarding subgroups of children with SM. Behavior profiles are discussed as well with respect to assessment and treatment implications. Readers will learn about the nature of children with selective mutism as well as behaviors that differentiate anxious and oppositional behavior profiles. Items that comprise anxious and oppositional behavior profiles are presented. These item profiles may have ramifications for assessment and treatment. Copyright © 2015 Elsevier Inc. All rights reserved.

  13. Latent profile analysis of lifestyle characteristics and health risk behaviors among Koreans who have completed industrial accident care.

    Science.gov (United States)

    Choi, Wan-Suk; Moon, Ok-Kon; Yeum, Dong-Moon

    2017-10-07

    This study investigated the characteristics and health behavior profiles of 1,803 workers who had experienced industrial accidents. Average weekly exercise days, average number of cigarettes smoked per day, average daily sleep duration, and number of days of alcohol consumption were selected to investigate health behavior profiles. Specifically, latent profile analysis was applied to identify the health behavior profiles of people who had completed industrial accident care; the latent classes were the health-conscious type (n=240), the potential-risk type (n=850), and the high-risk type (n=713). Comparison of the health-conscious and potential-risk types indicated that younger subjects, the employed, and those with lower social status and life satisfaction were more likely to be the potential-risk type. Comparison of the health-conscious and high-risk types revealed that males, younger subjects, the employed, those without chronic illnesses, and those with lower social status and life satisfaction were more likely to be the high-risk type. The results suggest that industrial accident victims who have completed accident care have different health behaviors and it is necessary to improve health promotion based on health type characteristics.

  14. The clinical profile of employees with mental health problems working in social firms in the UK.

    Science.gov (United States)

    Milton, Alyssa; Parsons, Nicholas; Morant, Nicola; Gilbert, Eleanor; Johnson, Sonia; Fisher, Adrian; Singh, Swaran; Cunliffe, Di; Marwaha, Steven

    2015-08-01

    UK social firms are under-researched but are a potentially important vocational option for people with mental health problems. To describe the clinical profile, satisfaction levels and experiences of social firms employees with mental health problems. Clinical, work and service use characteristics were collected from social firms' employees with mental health problems in England and Wales. Workplace experience and satisfaction were explored qualitatively. Predominantly, social firms' employees (N = 80) report that they have a diagnosis of depression (56%) and anxiety (41%). People with schizophrenia (20%) or bipolar disorder (5%) were a minority. Respondents had low symptom and disability levels, high quality of life and job satisfaction and experienced reductions in secondary mental health service use over time. High-workplace satisfaction was related to flexibility, manager and colleague support and workplace accommodations. The clinical profile, quality of life and job satisfaction level of employees with mental health problems suggest social firms could be a useful addition to UK vocational services for some people. Current employees mainly have common mental disorders, and social firms will need to shift their focus if they are to form a substantial pathway for the vocational recovery of people currently using community mental health teams.

  15. A statistical approach to plasma profile analysis

    International Nuclear Information System (INIS)

    Kardaun, O.J.W.F.; McCarthy, P.J.; Lackner, K.; Riedel, K.S.

    1990-05-01

    A general statistical approach to the parameterisation and analysis of tokamak profiles is presented. The modelling of the profile dependence on both the radius and the plasma parameters is discussed, and pertinent, classical as well as robust, methods of estimation are reviewed. Special attention is given to statistical tests for discriminating between the various models, and to the construction of confidence intervals for the parameterised profiles and the associated global quantities. The statistical approach is shown to provide a rigorous approach to the empirical testing of plasma profile invariance. (orig.)

  16. Detecting Corporate Social Media Crises on Facebook Using Social Set Analysis

    DEFF Research Database (Denmark)

    Mukkamala, Raghava Rao; Iskou Sørensen, Jannie; Hussain, Abid

    2015-01-01

    social media crises using social set analysis-an approach to computational social based on associational sociology and set theory. Based on a conceptual and formal model of social data, we conduct social set analysis of the facebook wall data of four diferent Danish companies. Findings show...

  17. Comparative analysis of e-commerce and social media based trading in Indonesia

    Science.gov (United States)

    Sfenrianto; Wang, Gunawan; Abdul, Halim; Nurul, Fajar Ahmad

    2017-09-01

    The growth of social media and e-commerce recently has caused the unique phenomenon in Indonesia. That phenomenon is online trading using social media like Facebook, Blackberry messenger, Whatsapp, etc. This phenomenon attracts the researcher to know how to use social media to trade, not using e-commerce marketplace like Lazada, Tokopedia, Bukalapak. The aim of the research is to know the profiling of product and buyer in e-commerce and social media and to do the comparison of that 2 channels based on eight purchase decision factors. Research conducted by taking surveys involving 306 respondents. For product and buyer profiling, this study identifies profile base on sex, education, area, jobs and online trading channel. For e-commerce & social media comparison, this study use 8 factors made based on previous related studies. Finding related purchase decision comparisons are: online trust and usability are the factors influencing people to buy the product via e-commerce. While, marketing mix, and interactivity are the factors why people buy the product via social media.

  18. On the Importance of Personal Profiles to Enhance Social Interaction in Learning Networks

    NARCIS (Netherlands)

    Berlanga, Adriana

    2008-01-01

    Berlanga, A. J., Bitter-Rijpkema, M. E., Brouns F., & Sloep, P. B. (2008). On the Importance of Personal Profiles to Enhance Social Interaction in Learning Networks. Presented at the IADIS International Conference on Web Based Communities 2008. July, 24-26, 2008, Amsterdam, The Netherlands.

  19. Obesogenic family types identified through latent profile analysis.

    Science.gov (United States)

    Martinson, Brian C; VazquezBenitez, Gabriela; Patnode, Carrie D; Hearst, Mary O; Sherwood, Nancy E; Parker, Emily D; Sirard, John; Pasch, Keryn E; Lytle, Leslie

    2011-10-01

    Obesity may cluster in families due to shared physical and social environments. This study aims to identify family typologies of obesity risk based on family environments. Using 2007-2008 data from 706 parent/youth dyads in Minnesota, we applied latent profile analysis and general linear models to evaluate associations between family typologies and body mass index (BMI) of youth and parents. Three typologies described most families with 18.8% "Unenriched/Obesogenic," 16.9% "Risky Consumer," and 64.3% "Healthy Consumer/Salutogenic." After adjustment for demographic and socioeconomic factors, parent BMI and youth BMI Z-scores were higher in unenriched/obesogenic families (BMI difference = 2.7, p typology. In contrast, parent BMI and youth BMI Z-scores were similar in the risky consumer families relative to those in healthy consumer/salutogenic type. We can identify family types differing in obesity risks with implications for public health interventions.

  20. On the importance of personal profiles to enhance social interaction in Learning Networks

    NARCIS (Netherlands)

    Berlanga, Adriana; Bitter-Rijpkema, Marlies; Brouns, Francis; Sloep, Peter

    2008-01-01

    Berlanga, A. J., Bitter-Rijpkema, M., Brouns F., & Sloep, P.B. (2008). On the importance of personal profiles to enhance social interaction in Learning Networks. In P. Kommers (Ed.), Proceedings of Web Based Communities Conference (WEBC 2008) (pp. 55-62). July, 24-26, 2008, Amsterdam, The

  1. Exploiting Social Context for Anticipatory Analysis of Human Movement

    Science.gov (United States)

    2012-10-01

    Formation Using a Social Network of Web Services: A Preliminary Investigation,” Procedia Computer Science , vol. 5, pp. 466–471, Jan. 2011. [Online...steering and obstacle behavior are incorporated into the tracking and goal prediction system. Task 4: Learning through Social Context. Deliverable...answering predictive questions about the behavior of a large social system. We developed a method for generating agent activity profiles from

  2. Angular photogrammetric soft tissue facial profile analysis of Bangladeshi young adults

    Directory of Open Access Journals (Sweden)

    Lubna Akter

    2017-01-01

    Full Text Available Introduction: Angular photogrammetric soft tissue facial profile analysis provides a permanent record for the actual appearance of a person, which would also serve to establish an ideal esthetic treatment goal. The aim of the present study was to evaluate the average angular variables that define the soft tissue facial profile of a Bangladeshi sample. Materials and Methods: This cross-sectional study was carried out at Department of Orthodontics and Dentofacial Orthopedics of Dhaka Dental College and Hospital, Bangladesh, from July to December 2015. Soft tissue facial profiles of 200 participants (100 males and 100 females between 18 and 25 years of age, with a dental Class I occlusal relationship and harmonious soft tissue profile, were selected by convenience sampling among students, doctors, and patients of Dhaka Dental College. Standardized photographs of 200 samples were taken in the natural head position. The photographic records were analyzed with the software for Windows, Microsoft Visio 2007, Standard Edition. All data were analyzed through standard methods using Statistical Package for the Statistical Package for Social Science Software (SPSS Version-20, IBM Corp, USA. Results: The average angular measurements for nasofrontal, total facial angle, facial angle, upper lip angle, projection of lower lip to chin, and mentolabial angle were wider in females. The mean value for nose tip angle, nasolabial angle, nasomental angle, and projection of upper lip to chin angle was higher in males compared to females. Nasofrontal angle (G-N-Nd (P = 0.000 and mentolabial angle (Li-Sm-Pg (P = 0.001 showed statistically significant differences. The greatest variability was found for mentolabial angle. Conclusion: The study of angular photogrammetric soft tissue facial profile analysis of Bangladeshi young adults contributes to the establishment of standardized normal values for the population. This study provides data which can be used in treatment

  3. Social Network Analysis and informal trade

    DEFF Research Database (Denmark)

    Walther, Olivier

    networks can be applied to better understand informal trade in developing countries, with a particular focus on Africa. The paper starts by discussing some of the fundamental concepts developed by social network analysis. Through a number of case studies, we show how social network analysis can...... illuminate the relevant causes of social patterns, the impact of social ties on economic performance, the diffusion of resources and information, and the exercise of power. The paper then examines some of the methodological challenges of social network analysis and how it can be combined with other...... approaches. The paper finally highlights some of the applications of social network analysis and their implications for trade policies....

  4. A social model based on customers' profiles for analyzing the churning process in the mobile market of data plans

    Science.gov (United States)

    Postigo-Boix, Marcos; Melús-Moreno, José L.

    2018-04-01

    Mobile Network Operators (MNOs) present wireless services of the same kind in identical zones, clients select the service taking into account any element they consider relevant. Churning hits on the design of the network and the method to assign prices by MNOs, and of course their earnings. Therefore, MNOs try to reduce churn detecting potential churners before they leave the service. Our approach to churn prediction considers each customer individually. Previous research shows that members of the social circle of a subscriber may influence churn. Thus, many scenarios that describe social relations, and in which churning processes could be expected, set an emerging challenge with practical implications. This paper uses the Agent-Based Modeling (ABM) technique to model customers. The model's parameters include demographic and psychographic features as well as usage profiles according to their social behavior considering their customers' profiles. Our model modifies and extends an existing real social network generator algorithm that considers customer's profiles and homophily considerations to create connections. We show that using our approach, groups of customers with greater tendency to churn due to the influence of their social networks can be identified better.

  5. Social-economic profile of asthmatic patients assisted at a Nucleus of Integrated Medical Assistance - doi:10.5020/18061230.2008.p180

    Directory of Open Access Journals (Sweden)

    Anisia Torquilho Praxedes

    2012-01-01

    Full Text Available Objective: To determine the social-economic profile of asthmatic patients who use the health services rendered by the Nucleus of Integrated Medical Assistance (NAMI, in Fortaleza- Ce. Methods: This descriptive, retrospective and cross-sectional study, of a quantitative approach, had a sample comprised by 40 asthmatic patients assisted at NAMI during the period of April to May, 2006. The data collection was accomplished by means of a standard semi-structured interview, with open and closed questions. Results: The age range between 0 to 5 years old represented the greater percentage of patients, thus obtaining 60.0% of the answered questionnaires. According to social-economic conditions, 55.0% were illiterate or were learning to read, 75.0% were using some drug prescribed at NAMI, 72.5% fully ignored the disease, 52.5% recognized the factors that triggered the asthmatic crisis and 55.0% said having often crisis. Seventy per cent (70.0% of the interviewed showed some difficulty related to the use of the drugs; 47.5% referred having different problems related to the access to the medications. Conclusion: By the analysis of the determined social-economic profile of asthmatics patients assisted at NAMI, it is concluded that great part of them are people with little instruction, due to the social exclusion in which they are found; being the majority of them children of female gender. NCT00722657

  6. The cognitive profile of behavioural variant FTD and its similarities with ALS: a systematic review and meta-analysis.

    Science.gov (United States)

    Beeldman, Emma; Raaphorst, Joost; Klein Twennaar, Michelle; Govaarts, Rosanne; Pijnenburg, Yolande A L; de Haan, Rob J; de Visser, Marianne; Schmand, Ben A

    2018-02-09

    Approximately 30% of patients with amyotrophic lateral sclerosis (ALS) have cognitive impairment and 8%-14% fulfil the criteria for behavioural variant frontotemporal dementia (bv-FTD). The cognitive profiles of ALS and bv-FTD have been reported to be comparable, but this has never been systematically investigated. We aimed to determine the cognitive profile of bv-FTD and examine its similarities with that of ALS, to provide evidence for the existence of a cognitive disease continuum encompassing bv-FTD and ALS. We therefore systematically reviewed neuropsychological studies on bv-FTD patients and healthy volunteers. Neuropsychological tests were divided in 10 cognitive domains and effect sizes were calculated for all domains and compared with the cognitive profile of ALS by means of a visual comparison and a Pearson's r correlation coefficient. We included 120 studies, totalling 2425 bv-FTD patients and 2798 healthy controls. All cognitive domains showed substantial effect sizes, indicating cognitive impairment in bv-FTD patients compared to healthy controls. The cognitive domains with the largest effect sizes were social cognition, verbal memory and fluency (1.77-1.53). The cognitive profiles of bv-FTD and ALS (10 cognitive domains, 1287 patients) showed similarities on visual comparison and a moderate correlation 0.58 (p=0.13). When social cognition, verbal memory, fluency, executive functions, language and visuoperception were considered, i.e. the cognitive profile of ALS, Pearson's r was 0.73 (p=0.09), which raised to 0.92 (p=0.03), when language was excluded in this systematic analysis of patients with a non-language subtype of FTD. The cognitive profile of bv-FTD consists of deficits in social cognition, verbal memory, fluency and executive functions and shows similarities with the cognitive profile of ALS. These findings support a cognitive continuum encompassing ALS and bv-FTD. © Article author(s) (or their employer(s) unless otherwise stated in the text

  7. Student profiling on university co-curricular activities using cluster analysis

    Science.gov (United States)

    Rajenthran, Hemabegai A./P.; Shaharanee, Izwan Nizal Mohd; Jamil, Jastini Mohd.

    2017-11-01

    In higher learning institutions, the co-curricular programs are needed for the graduation besides the standard academic programs. By actively participating in co-curricular, students can attain many of soft skills and proficiencies besides learning and adopting campus environment, community and traditions. Co-curricular activities are implemented by universities mainly for the refinement of the academic achievement along with the social development. This studies aimed to analyse the academic profile of the co-curricular students among uniform units. The main objective of study is to develop a profile of student co-curricular activities in uniform units. Additionally, several variables has been selected to serve as the characteristics for student co-curricular profile. The findings of this study demonstrate the practicality of clustering technique to investigate student's profiles and allow for a better understanding of student's behavior and co-curriculum activities.

  8. Social network analysis and supply chain management

    Directory of Open Access Journals (Sweden)

    Raúl Rodríguez Rodríguez

    2016-01-01

    Full Text Available This paper deals with social network analysis and how it could be integrated within supply chain management from a decision-making point of view. Even though the benefits of using social analysis have are widely accepted at both academic and industry/services context, there is still a lack of solid frameworks that allow decision-makers to connect the usage and obtained results of social network analysis – mainly both information and knowledge flows and derived results- with supply chain management objectives and goals. This paper gives an overview of social network analysis, the main social network analysis metrics, supply chain performance and, finally, it identifies how future frameworks could close the gap and link the results of social network analysis with the supply chain management decision-making processes.

  9. Profiling the Buzz Agent: Product Referral and the Study of Social Community and Brand Attachment

    Directory of Open Access Journals (Sweden)

    Danny Pimentel Claro

    2015-04-01

    Full Text Available The buzz agent is any consumer perceived by others as a source of product referral. Previous literature in word of mouth (WOM has looked into characteristics of individuals who successfully persuade others to choose a brand. While there have been studies in this field, the literature is still scattered and little has been done to profile the consumer playing the buzz-agent role. We aim to deepen our understanding about the consumer who must be recruited as a buzz agent by a firm in a WOM marketing (WOMM initiative. The proposed profile is comprised of three key characteristics: the consumer’s position in the social community, nature of ties in the community and brand attachment. We tested our hypotheses with a survey of 542 consumers from a controlled population. Rather than relying on self-reported questions about referral behavior, we asked respondents in the population to name the individuals to whom the respondents go to obtain information to help pick a brand. This accurately pinpoints which individuals fit the profile of a buzz agent. Results show that buzz agents are popular in their social community (friends and tech experts, carry dissimilar brands as target consumers and are product experts. Our study identifies a profile of consumers that helps firms select buzz agents for WOMM initiatives.

  10. The dietary profile of socially vulnerable participants in health promotion programs in a brazilian metropolis

    Directory of Open Access Journals (Sweden)

    Raquel de Deus Mendonça

    2015-06-01

    Full Text Available OBJECTIVES: To analyze the dietary profile of participants who used two health promotion services located in socially vulnerable areas in a Brazilian metropolis. METHODS: A cross-sectional comparative study was conducted with participants (n = 370 aged ≥ 20 years who joined two services of the Academias da Cidade program in Belo Horizonte, Minas Gerais, Brazil. The study participants engaged in physical activity and nutritional education actions directed by the services from 2009 to 2010. The sociodemographic and economic conditions and health and nutrition profiles of each individual were assessed. RESULTS: Participants from a high social-risk who used the service did not demonstrate adequate intake of vegetables (54.6 versus 43.6%; p = 0.038, sweets (33.5 versus 23.2%; p = 0.030, soft drinks (28.5 versus 11.9%; p < 0.001, artificial juice (34.7 versus 22.6%; p = 0.011, and processed meat (48.8 versus 32.7; p = 0.002. However, in the other service, lower social vulnerability, a higher prevalence of abdominal adiposity (60.7 versus 43.0%; p = 0.004 and consumption of high-fat meat products (53.0 versus 36.5%; p = 0.002 was observed. CONCLUSION: Participants who used both services demonstrated inadequate food intake compatible with the development of chronic disease profiles. However, the participants in each service were distinct from each other. This suggests that promotion of healthy eating should to contemplate the territory and its interface with people health.

  11. Latent profile analysis of sixth graders based on teacher ratings: Association with school dropout.

    Science.gov (United States)

    Orpinas, Pamela; Raczynski, Katherine; Peters, Jaclyn Wetherington; Colman, Laura; Bandalos, Deborah

    2015-12-01

    The goal of this study was to identify meaningful groups of sixth graders with common characteristics based on teacher ratings of assets and maladaptive behaviors, describe dropout rates for each group, and examine the validity of these groups using students' self-reports. The sample consisted of racially diverse students (n = 675) attending sixth grade in public schools in Northeast Georgia. The majority of the sample was randomly selected; a smaller group was identified by teachers as high risk for aggression. Based on teacher ratings of externalizing behaviors, internalizing problems, academic skills, leadership, and social assets, latent profile analysis yielded 7 classes that can be displayed along a continuum: Well-Adapted, Average, Average-Social Skills Deficit, Internalizing, Externalizing, Disruptive Behavior with School Problems, and Severe Problems. Dropout rate was lowest for the Well-adapted class (4%) and highest for the Severe Problems class (58%). However, students in the Average-Social Skills Deficit class did not follow the continuum, with a large proportion of students who abandoned high school (29%). The proportion of students identified by teachers as high in aggression consistently increased across the continuum from none in the Well-Adapted class to 84% in the Severe Problems class. Students' self-reports were generally consistent with the latent profile classes. Students in the Well-Adapted class reported low aggression, drug use, and delinquency, and high life satisfaction; self-reports went in the opposite direction for the Disruptive Behaviors with School Problems class. Results highlight the importance of early interventions to improve academic performance, reduce externalizing behaviors, and enhance social assets. (c) 2015 APA, all rights reserved).

  12. Profiles of Depressive Symptoms among African Americans and Caribbean Blacks”

    OpenAIRE

    Lincoln, Karen; Chatters, Linda M; Taylor, Robert J; Jackson, James S

    2007-01-01

    Latent profile analysis was used to summarize profiles of depressive symptoms among a nationally representative sample of U.S.-born and Caribbean-born Blacks. Analyses are based on the responses of 4,915 African Americans and Caribbean Blacks from the National Survey of American Life. A high symptoms and a low symptoms class were identified. Age, gender, negative social interaction within the individual's social network (e.g., conflict demands, criticism) and racial discrimination were associ...

  13. A content analysis of displayed alcohol references on a social networking web site.

    Science.gov (United States)

    Moreno, Megan A; Briner, Leslie R; Williams, Amanda; Brockman, Libby; Walker, Leslie; Christakis, Dimitri A

    2010-08-01

    Exposure to alcohol use in media is associated with adolescent alcohol use. Adolescents frequently display alcohol references on Internet media, such as social networking web sites. The purpose of this study was to conduct a theoretically based content analysis of older adolescents' displayed alcohol references on a social networking web site. We evaluated 400 randomly selected public MySpace profiles of self-reported 17- to 20-year-olds from zip codes, representing urban, suburban, and rural communities in one Washington county. Content was evaluated for alcohol references, suggesting: (1) explicit versus figurative alcohol use, (2) alcohol-related motivations, associations, and consequences, including references that met CRAFFT problem drinking criteria. We compared profiles from four target zip codes for prevalence and frequency of alcohol display. Of 400 profiles, 225 (56.3%) contained 341 references to alcohol. Profile owners who displayed alcohol references were mostly male (54.2%) and white (70.7%). The most frequent reference category was explicit use (49.3%); the most commonly displayed alcohol use motivation was peer pressure (4.7%). Few references met CRAFFT problem drinking criteria (3.2%). There were no differences in prevalence or frequency of alcohol display among the four sociodemographic communities. Despite alcohol use being illegal and potentially stigmatizing in this population, explicit alcohol use is frequently referenced on adolescents' MySpace profiles across several sociodemographic communities. Motivations, associations, and consequences regarding alcohol use referenced on MySpace appear consistent with previous studies of adolescent alcohol use. These references may be a potent source of influence on adolescents, particularly given that they are created and displayed by peers. (c) 2010 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

  14. Social network analysis applied to team sports analysis

    CERN Document Server

    Clemente, Filipe Manuel; Mendes, Rui Sousa

    2016-01-01

    Explaining how graph theory and social network analysis can be applied to team sports analysis, This book presents useful approaches, models and methods that can be used to characterise the overall properties of team networks and identify the prominence of each team player. Exploring the different possible network metrics that can be utilised in sports analysis, their possible applications and variances from situation to situation, the respective chapters present an array of illustrative case studies. Identifying the general concepts of social network analysis and network centrality metrics, readers are shown how to generate a methodological protocol for data collection. As such, the book provides a valuable resource for students of the sport sciences, sports engineering, applied computation and the social sciences.

  15. Does Enjoying Friendship Help or Impede Academic Achievement? Academic and Social Intrinsic Value Profiles Predict Academic Achievement

    Science.gov (United States)

    Seo, Eunjin; Lee, You-kyung

    2018-01-01

    We examine the intrinsic value students placed on schoolwork (i.e. academic intrinsic value) and social relationships (i.e. social intrinsic value). We then look at how these values predict middle and high school achievement. To do this, we came up with four profiles based on cluster analyses of 6,562 South Korean middle school students. The four…

  16. Effects of Classroom Management Profiles of Pre-School Teachers on Social Skills and Problem Behaviors of Children

    OpenAIRE

    METİN, Şermin; AYDOĞAN, Yasemin; KAVAK, Şule; MERCAN, Zerrin

    2018-01-01

    Thisresearch was conducted to determine the classroom management profile ofpreschool teachers and to examine the influence of teachers' classroommanagement profiles on children's social skills and problem behaviors. Theresearch was carried out in 2015-2016 educational year with teachers workinginkindergartens affiliated to Provincial Directorate of National Education inGaziantep province center and children in their classes. The study groupconsists of 485 children and 45 teachers wh...

  17. Flash Study Analysis and the Music Learning Pro-Files Project

    Science.gov (United States)

    Cremata, Radio; Pignato, Joseph; Powell, Bryan; Smith, Gareth Dylan

    2016-01-01

    This paper introduces the Music Learning Profiles Project, and its methodological approach, flash study analysis. Flash study analysis is a method that draws heavily on extant qualitative approaches to education research, to develop broad understandings of music learning in diverse contexts. The Music Learning Profiles Project (MLPP) is an…

  18. A descriptive social and health profile of a community sample of adults and adolescents with Asperger syndrome

    Directory of Open Access Journals (Sweden)

    Tantam Digby

    2010-11-01

    Full Text Available Abstract Background Little is known about the health and social profile of adolescents and adults with Asperger syndrome (AS living in the community. We conducted a study to describe the living, employment and psycho-social situation of a community sample of forty two adults and adolescents with AS, and to describe these indivdiuals' experiences of accessing health services and taking medication. Findings Most respondents (including those over eighteen years of age lived at home with their parents. Most had trouble reading and responding to other people's feelings, and coping with unexpected changes. Difficulties with life skills, such as cleaning, washing and hygiene were prevalent. The majority of respondents were socially isolated and a large minority had been sexually or financially exploited. Almost all respondents had been bullied. Mental health problems such as anxiety or depression were common. 30% of respondents said that they regularly became violent and hit other people and 15% had attempted suicide. More positively, the majority of respondents felt that they could access health services if they had a health problem. Conclusions The results of this study suggest a relatively poor social and health profile for many people with Asperger syndrome living in the community, with high levels of social problems and social exclusion, and difficulties managing day to day tasks such as washing and cleaning; these findings support the results of other studies that have examined psycho-social functioning in this group.

  19. Fear of Missing Out, online social networking and mobile phone addiction: A latent profile approach

    OpenAIRE

    Fuster, Héctor; Chamarro, Andrés; Oberst, Ursula

    2017-01-01

    Fear of missing out (FoMO) is described as a pervasive, unpleasant sensation that others might be having rewarding experiences of which one is not part, as well as the desire to stay continually connected with what others are doing. It has been shown to play an important mediating role in predicting negative outcomes of heavy use of social networks. The aim of the present study was to analyze the different profiles found among users. 5,280 Spanish speaking social media users from ...

  20. Analysis of the scientific output on Human Rights within Social Work: an international perspective (2000-2015

    Directory of Open Access Journals (Sweden)

    Carla Cubillos-Vega

    2017-03-01

    Full Text Available Human rights are part of the mission and identity of social work; nonetheless, the topic of human rights is not well represented in the field’s scholarly output. The aim of this study is to provide a profile of the literature in the field of social work covering human rights in recent years. For this reason, a descriptive-observational analysis was performed of the output on human rights in social science journals indexed between 2000 and 2015 in the principal international databases, "Scopus" and "Web of Science". A qualitative analysis permitted establishing four main types of topics. The findings reveal a lack of papers dealing with this subject, the predominance of a theoretical approach over an empirical one, and an Anglo-Saxon hegemony. This subject of study has never been approached before. Hence, innovation is the main contribution of this paper.

  1. Lag profile inversion method for EISCAT data analysis

    Directory of Open Access Journals (Sweden)

    I. I. Virtanen

    2008-03-01

    Full Text Available The present standard EISCAT incoherent scatter experiments are based on alternating codes that are decoded in power domain by simple summation and subtraction operations. The signal is first digitised and then different lagged products are calculated and decoded in real time. Only the decoded lagged products are saved for further analysis so that both the original data samples and the undecoded lagged products are lost. A fit of plasma parameters can be later performed using the recorded lagged products. In this paper we describe a different analysis method, which makes use of statistical inversion in removing range ambiguities from the lag profiles. An analysis program carrying out both the lag profile inversion and the fit of the plasma parameters has been constructed. Because recording the received signal itself instead of the lagged products allows very flexible data analysis, the program is constructed to use raw data, i.e. IQ-sampled signal recorded from an IF stage of the radar. The program is now capable of analysing standard alternating-coded EISCAT experiments as well as experiments with any other kind of radar modulation if raw data is available. The program calculates the ambiguous lag profiles and is capable of inverting them as such but, for analysis in real time, time integration is needed before inversion. We demonstrate the method using alternating code experiments in the EISCAT UHF radar and specific hardware connected to the second IF stage of the receiver. This method produces a data stream of complex samples, which are stored for later processing. The raw data is analysed with lag profile inversion and the results are compared to those given by the standard method.

  2. Analysis of publicly disclosed information in Facebook profiles

    OpenAIRE

    Farahbakhsh, Reza; Han, Xiao; Cuevas, Angel; Crespi, Noel

    2017-01-01

    Facebook, the most popular Online social network is a virtual environment where users share information and are in contact with friends. Apart from many useful aspects, there is a large amount of personal and sensitive information publicly available that is accessible to external entities/users. In this paper we study the public exposure of Facebook profile attributes to understand what type of attributes are considered more sensitive by Facebook users in terms of privacy, and thus are rarely...

  3. Improving Feature Representation Based on a Neural Network for Author Profiling in Social Media Texts.

    Science.gov (United States)

    Gómez-Adorno, Helena; Markov, Ilia; Sidorov, Grigori; Posadas-Durán, Juan-Pablo; Sanchez-Perez, Miguel A; Chanona-Hernandez, Liliana

    2016-01-01

    We introduce a lexical resource for preprocessing social media data. We show that a neural network-based feature representation is enhanced by using this resource. We conducted experiments on the PAN 2015 and PAN 2016 author profiling corpora and obtained better results when performing the data preprocessing using the developed lexical resource. The resource includes dictionaries of slang words, contractions, abbreviations, and emoticons commonly used in social media. Each of the dictionaries was built for the English, Spanish, Dutch, and Italian languages. The resource is freely available.

  4. Criminal Justice. Occupational Competency Analysis Profile.

    Science.gov (United States)

    Ohio State Univ., Columbus. Vocational Instructional Materials Lab.

    This Occupational Competency Analysis Profile (OCAP) contains a competency list verified by expert workers and developed through a modified DACUM (Developing a Curriculum) involving business, industry, labor, and community agency representatives from Ohio. This OCAP identifies the occupational, academic, and employability skills (competencies)…

  5. GENDER AND POVERTY: SOCIO-PSYCHOLOGICAL ANALYSIS OF FEMALE ROLE MODELS AND VULNERABILITY PROFILES

    Directory of Open Access Journals (Sweden)

    Antonella RISSOTTO

    2010-07-01

    Full Text Available The contribution regards an analysis of gender-related role models and their relevance for poverty. Data were gathered using a semi-structured questionnaire. Poverty as a function of gender is interpreted in the present case in the light of the interrelation between economic disadvantages, inherent in the sy stems of integration, an d social exclusion, with special reference to the family and the labour market. From this point of view, the concept of dependence represents a strategic concept that may be broken down into the dimensions of: - economic (income source; - material (non economic help in the management of the family. It will be shown how gender models have a statistically significant weight in the distribution of a greater or lesser degree of dependence. Economic dependence and material dependence may be related back to two empirical typological indexes, wh ich summarize a set of semantically relevant indicators. Also an additional index of economic hardship has been constructed, which also summarizes specific indicators. In addition to gender profiles, the analysis takes into account specific categories of women, focusing attention on subjects that are potentially vulnerable to poverty (elderly women, women with precarious jobs and divorcees defining their specific profiles.

  6. Social network analysis for startups finding connections on the social web

    CERN Document Server

    Tsvetovat, Maksim

    2011-01-01

    Does your startup rely on social network analysis? This concise guide provides a statistical framework to help you identify social processes hidden among the tons of data now available. Social network analysis (SNA) is a discipline that predates Facebook and Twitter by 30 years. Through expert SNA researchers, you''ll learn concepts and techniques for recognizing patterns in social media, political groups, companies, cultural trends, and interpersonal networks. You''ll also learn how to use Python and other open source tools-such as NetworkX, NumPy, and Matplotlib-to gather, analyze, and vis

  7. Emotion Analysis on Social Big Data

    Institute of Scientific and Technical Information of China (English)

    REN Fuji; Kazuyuki Matsumoto

    2017-01-01

    In this paper, we describe a method of emotion analysis on social big data. Social big data means text data that is emerging on In-ternet social networking services.We collect multilingual web corpora and annotated emotion tags to these corpora for the purpose of emotion analysis. Because these data are constructed by manual annotation, their quality is high but their quantity is low. If we create an emotion analysis model based on this corpus with high quality and use the model for the analysis of social big data, we might be able to statistically analyze emotional sensesand behavior of the people in Internet communications, which we could not know before. In this paper, we create an emotion analysis model that integrate the high-quality emotion corpus and the automatic-constructed corpus that we created in our past studies, and then analyze a large-scale corpus consisting of Twitter tweets based on the model. As the result of time-series analysis on the large-scale corpus and the result of model evaluation, we show the effective-ness of our proposed method.

  8. Graphic Communications. Occupational Competency Analysis Profile.

    Science.gov (United States)

    Ohio State Univ., Columbus. Vocational Instructional Materials Lab.

    This Occupational Competency Analysis Profile (OCAP), which is one of a series of OCAPs developed to identify the skills that Ohio employers deem necessary to entering a given occupation/occupational area, lists the occupational, academic, and employability skills required of individuals entering graphic communications occupations. The…

  9. Poultry Producer. Ohio's Competency Analysis Profile.

    Science.gov (United States)

    Ohio State Univ., Columbus. Vocational Instructional Materials Lab.

    This Ohio Competency Analysis Profile (OCAP), derived from a modified Developing a Curriculum (DACUM) process, is a comprehensive and verified employer competency list for a poultry producer program. It contains units (with or without subunits), competencies, and competency builders that identify the occupational, academic, and employability…

  10. Profile analysis of microparticles

    International Nuclear Information System (INIS)

    Konarski, P.; Iwanejko, I.; Mierzejewska, A.

    2001-01-01

    Depth resolved analyses of several types of microparticles are presented. Particles for secondary ion mass spectrometry (SIMS) depth profile analysis were collected in the working environment of glass plant, steelworks and welding station using eight-stage cascade impactor with particle size range of 0.3 μm to 15 μm. Ion beam sputtering and sample rotation technique allowed to describe morphology i.e. the elemental structure of collected sub-micrometer particles. Also model particles Iriodin 221 (Merck) were depth profiled. The core-shell structure is found for all types of investigated particles. Steelworks particles consist mainly of iron and manganese cores. At the shells of these microparticles: lead, chlorine and fluorine are found. The particles collected in the glass-works consist mainly of lead-zirconium glass cores covered by carbon and copper. Stainless-steel welding particles compose of iron, manganese and chromium cores covered by a shell rich in carbon, chlorine and fluorine. Sample rotation technique applied in SIMS appears to be an effective tool for environmental microparticle morphology studies

  11. Social and Economic Analysis Branch: integrating policy, social, economic, and natural science

    Science.gov (United States)

    Schuster, Rudy; Walters, Katie D.

    2015-01-01

    The Fort Collins Science Center's Social and Economic Analysis Branch provides unique capabilities in the U.S. Geological Survey by leading projects that integrate social, behavioral, economic, and natural science in the context of human–natural resource interactions. Our research provides scientific understanding and support for the management and conservation of our natural resources in support of multiple agency missions. We focus on meeting the scientific needs of the Department of the Interior natural resource management bureaus in addition to fostering partnerships with other Federal and State managers to protect, restore, and enhance our environment. The Social and Economic Analysis Branch has an interdisciplinary group of scientists whose primary functions are to conduct both theoretical and applied social science research, provide technical assistance, and offer training to support the development of skills in natural resource management activities. Management and research issues associated with human-resource interactions typically occur in a unique context and require knowledge of both natural and social sciences, along with the skill to integrate multiple science disciplines. In response to these challenging contexts, Social and Economic Analysis Branch researchers apply a wide variety of social science concepts and methods which complement our rangeland/agricultural, wildlife, ecology, and biology capabilities. The goal of the Social and Economic Analysis Branch's research is to enhance natural-resource management, agency functions, policies, and decisionmaking.

  12. Further Examining Berry's Model: The Applicability of Latent Profile Analysis to Acculturation

    Science.gov (United States)

    Fox, Rina S.; Merz, Erin L.; Solórzano, Martha T.; Roesch, Scott C.

    2013-01-01

    This study used latent profile analysis (LPA) to identify acculturation profiles. A three-profile solution fit the data best, and comparisons on demographic and psychosocial outcomes as a function of profile yielded expected results. The findings support using LPA as a parsimonious way to model acculturation without anticipating profiles in…

  13. Adolescent alcohol-related risk cognitions: the roles of social norms and social networking sites.

    Science.gov (United States)

    Litt, Dana M; Stock, Michelle L

    2011-12-01

    The present study examined the impact of socially based descriptive norms on willingness to drink alcohol, drinker prototype favorability, affective alcohol attitudes, and perceived vulnerability for alcohol-related consequences within the Prototype Willingness model. Descriptive norms were manipulated by having 189 young adolescents view experimenter-created profile pages from the social networking site Facebook, which either showed older peers drinking or not. The results provided evidence that descriptive norms for alcohol use, as portrayed by Facebook profiles, significantly impact willingness to use, prototypes, attitudes toward use, and perceived vulnerability. A multiple mediation analysis indicated that prototypes, attitudes, and perceptions of use mediated the relationship between the content of the Facebook profile and willingness. These results indicate that adolescents who perceive that alcohol use is normative, as evidenced by Facebook profiles, are at higher risk for cognitions shown to predict alcohol use than adolescents who do not see alcohol use portrayed as frequently on Facebook.

  14. Assessing Group Interaction with Social Language Network Analysis

    Science.gov (United States)

    Scholand, Andrew J.; Tausczik, Yla R.; Pennebaker, James W.

    In this paper we discuss a new methodology, social language network analysis (SLNA), that combines tools from social language processing and network analysis to assess socially situated working relationships within a group. Specifically, SLNA aims to identify and characterize the nature of working relationships by processing artifacts generated with computer-mediated communication systems, such as instant message texts or emails. Because social language processing is able to identify psychological, social, and emotional processes that individuals are not able to fully mask, social language network analysis can clarify and highlight complex interdependencies between group members, even when these relationships are latent or unrecognized.

  15. WISC-R Subtest Pattern Stability and Learning Disabilities: A Profile Analysis.

    Science.gov (United States)

    Mealor, David J.; Abrams, Pamela F.

    Profile analysis was performed on Wechsler Intelligence Scale for Children-Revised (WISC-R) scores of 29 learning disabled students (6-10 years old) in a Specific Learning Disabilities (SLD) program, to determine whether subtest patterns for initial and re-evaluation WISC-R administrations would differ significantly. Profile analysis was applied…

  16. Prevalence of Stress References on College Freshmen Facebook Profiles

    OpenAIRE

    EGAN, KATIE G.; MORENO, MEGAN A.

    2011-01-01

    Stress is common among college students and associated with adverse health outcomes. This study used the social networking Web site Facebook to identify self-reported stress and associated conditions among college students. Public Facebook profiles of undergraduate freshman at a large Midwestern State University (n = 300) were identified using a Facebook search. Content analysis of Facebook profiles included demographic information and displayed references to stress, weight concerns, depressi...

  17. Profiles of adolescent religiousness using latent profile analysis: Implications for psychopathology.

    Science.gov (United States)

    Longo, Gregory S; Bray, Bethany C; Kim-Spoon, Jungmeen

    2017-03-01

    Prior research has documented robust associations between adolescent religiousness/spirituality (R/S) and psychopathology outcomes including externalizing and internalizing symptomatology, yet no previous studies have examined these associations with adolescent R/S profiles using a person-centred approach. We examined whether there are identifiable subgroups characterized by unique multidimensional patterns of R/S experiences and how these experiences may be related to externalizing and internalizing symptomatology. The sample consisted of 220 Appalachian adolescents between 12 and 18 years old who were primarily White and primarily Christian. Latent profile analysis revealed three profiles of adolescent R/S: high religiousness (28.4%), introjectors (47.6%), and low religiousness (24.0%). These profiles were differentially related to internalizing and externalizing symptomatology such that the high religiousness group was significantly lower than the introjectors with respect to internalizing and externalizing symptomatology and lower than the low religiousness group in externalizing symptomatology. Implications and suggestions for future research using person-centred approaches to better understand differential developmental trajectories of religious development are provided. Statement of contribution What is already known Prior research has demonstrated a negative relationship between adolescent religiousness and spirituality (R/S) and psychopathology. Numerous studies document the differential relationships between aspects of R/S and psychopathology; however, few have done so from a person-centred perspective. There are several theories that outline how R/S to study R/S when paying specific attention to culture. Saroglou's Big Four dimensions of religion (believing, bonding, behaving, and belonging) posits that these four dimensions (1) are able to delimit religion from proximal constructs; (2) translate major distinct dimensions of religiousness; (3) can be

  18. Binary similarity measures for fingerprint analysis of qualitative metabolomic profiles.

    Science.gov (United States)

    Rácz, Anita; Andrić, Filip; Bajusz, Dávid; Héberger, Károly

    2018-01-01

    Contemporary metabolomic fingerprinting is based on multiple spectrometric and chromatographic signals, used either alone or combined with structural and chemical information of metabolic markers at the qualitative and semiquantitative level. However, signal shifting, convolution, and matrix effects may compromise metabolomic patterns. Recent increase in the use of qualitative metabolomic data, described by the presence (1) or absence (0) of particular metabolites, demonstrates great potential in the field of metabolomic profiling and fingerprint analysis. The aim of this study is a comprehensive evaluation of binary similarity measures for the elucidation of patterns among samples of different botanical origin and various metabolomic profiles. Nine qualitative metabolomic data sets covering a wide range of natural products and metabolomic profiles were applied to assess 44 binary similarity measures for the fingerprinting of plant extracts and natural products. The measures were analyzed by the novel sum of ranking differences method (SRD), searching for the most promising candidates. Baroni-Urbani-Buser (BUB) and Hawkins-Dotson (HD) similarity coefficients were selected as the best measures by SRD and analysis of variance (ANOVA), while Dice (Di1), Yule, Russel-Rao, and Consonni-Todeschini 3 ranked the worst. ANOVA revealed that concordantly and intermediately symmetric similarity coefficients are better candidates for metabolomic fingerprinting than the asymmetric and correlation based ones. The fingerprint analysis based on the BUB and HD coefficients and qualitative metabolomic data performed equally well as the quantitative metabolomic profile analysis. Fingerprint analysis based on the qualitative metabolomic profiles and binary similarity measures proved to be a reliable way in finding the same/similar patterns in metabolomic data as that extracted from quantitative data.

  19. Social network utilization (Facebook) & e-Professionalism among medical students.

    Science.gov (United States)

    Jawaid, Masood; Khan, Muhammad Hassaan; Bhutto, Shahzadi Nisar

    2015-01-01

    To find out the frequency and contents of online social networking (Facebook) among medical students of Dow University of Health Sciences. The sample of the study comprised of final year students of two medical colleges of Dow University of Health Sciences - Karachi. Systematic search for the face book profiles of the students was carried out with a new Facebook account. In the initial phase of search, it was determined whether each student had a Facebook account and the status of account as ''private'' ''intermediate'' or ''public'' was also sought. In the second phase of the study, objective information including gender, education, personal views, likes, tag pictures etc. were recorded for the publicly available accounts. An in depth qualitative content analysis of the public profiles of ten medical students, selected randomly with the help of random number generator technique was conducted. Social networking with Facebook is common among medical students with 66.9% having an account out of a total 535 students. One fifth of profiles 18.9% were publicly open, 36.6% profiles were private and 56.9% were identified to have an intermediate privacy setting, having customized settings for the profile information. In-depth analysis of some public profiles showed that potentially unprofessional material mostly related to violence and politics was posted by medical students. The usage of social network (Facebook) is very common among students of the university. Some unprofessional posts were also found on students' profiles mostly related to violence and politics.

  20. Contextual Risk Profiles and Trajectories of Adolescent Dating Violence Perpetration.

    Science.gov (United States)

    Reyes, H Luz McNaughton; Foshee, Vangie A; Markiewitz, Nathan; Chen, May S; Ennett, Susan T

    2018-04-09

    Social ecological and developmental system perspectives suggest that interactions among factors within and across multiple contexts (e.g., neighborhood, peer, family) must be considered in explaining dating violence perpetration. Yet, to date, most extant research on dating violence has focused on individual, rather than contextual predictors, and used variable-centered approaches that fail to capture the configurations of factors that may jointly explain involvement in dating violence. The current study used a person-centered approach, latent profile analysis, to identify key configurations (or profiles) of contextual risk and protective factors for dating violence perpetration across the neighborhood, school, friend and family contexts. We then examine the longitudinal associations between these contextual risk profiles, assessed during middle school, and trajectories of psychological and physical dating violence perpetration across grades 8 through 12. Five contextual risk profiles were identified: school, neighborhood, and family risk; school and family risk; school and friend risk; school and neighborhood risk; and low risk. The highest levels of psychological and physical perpetration across grades 8 through 12 were among adolescents in the profile characterized by high levels of school, neighborhood, and family risk. Results suggest that early interventions to reduce violence exposure and increase social regulation across multiple social contexts may be effective in reducing dating violence perpetration across adolescence.

  1. The Application of Social Network Analysis to Team Sports

    Science.gov (United States)

    Lusher, Dean; Robins, Garry; Kremer, Peter

    2010-01-01

    This article reviews how current social network analysis might be used to investigate individual and group behavior in sporting teams. Social network analysis methods permit researchers to explore social relations between team members and their individual-level qualities simultaneously. As such, social network analysis can be seen as augmenting…

  2. Advances in social media analysis

    CERN Document Server

    Cocea, Mihaela; Wiratunga, Nirmalie; Goker, Ayse

    2015-01-01

    This volume presents a collection of carefully selected contributions in the area of social media analysis. Each chapter opens up a number of research directions that have the potential to be taken on further in this rapidly growing area of research. The chapters are diverse enough to serve a number of directions of research with Sentiment Analysis as the dominant topic in the book. The authors have provided a broad range of research achievements from multimodal sentiment identification to emotion detection in a Chinese microblogging website. The book will be useful to research students, academics and practitioners in the area of social media analysis.  .

  3. Contact traction analysis for profile change during coining process

    International Nuclear Information System (INIS)

    Kim, Hyung Kyu; Yoon, Kyung Ho; Kang, Heung Seok; Song, Kee Nam

    2002-01-01

    Contact tractions are analysed in the case of the change in contact profile occurring during the coining process of a thin strip material. The changed profile is assumed as a concave circular arc in the central part of the contact region which is smoothly connected with convex circular arcs at both sides, referring to the actual measurement of the coined material. The profile is discretized and the known solutions of singular integral equations are used. Since the contact profile affects the contact traction and relevant tribological behaviour (e.g. wear) as well, an accurate definition of the profile is necessary in the analysis of material failure. Parametric study is conducted with the variation of the radii and distance of the arcs, which defines the height difference between the summits of the arcs. Considered is the contact profile, which can give the negligible variation of the traction in comparison with that before the coining process

  4. Understanding Classrooms through Social Network Analysis: A Primer for Social Network Analysis in Education Research

    Science.gov (United States)

    Grunspan, Daniel Z.; Wiggins, Benjamin L.; Goodreau, Steven M.

    2014-01-01

    Social interactions between students are a major and underexplored part of undergraduate education. Understanding how learning relationships form in undergraduate classrooms, as well as the impacts these relationships have on learning outcomes, can inform educators in unique ways and improve educational reform. Social network analysis (SNA)…

  5. A call for (trans)languaging: The language profiles at Roskilde University

    DEFF Research Database (Denmark)

    Daryai-Hansen, Petra; Barfod, Sonja; Schwarz, Lena

    2016-01-01

    in the humanities and social sciences. The students in the programme are explicitly asked to use translanguaging in order to enhance their languaging, i.e. they are invited to use translanguaging strategies in order to achieve interactional and social aims. The chapter introduces the design and the learning...... objectives of RUC’s language profiles. Furthermore we discuss, based on the language profiles as an example, how translanguaging practices and policies can be described on a supra, macro, meso, micro and nano level. The analysis focuses on teachers’ and students’ translanguaging practices and their attitudes...... towards translanguaging in language teaching/learning....

  6. Narcissism as a predictor of motivations behind Facebook profile picture selection.

    Science.gov (United States)

    Kapidzic, Sanja

    2013-01-01

    The rising popularity of social networking sites raises the question of whether and how personality differences are manifested on them. The present study explores this topic through an analysis of the relationship between narcissism and motivations behind Facebook profile picture selection. A survey that assesses motivations emphasizing physical attractiveness, personality, and social ties was conducted with 288 undergraduate students. The study found narcissism to be a significant predictor of the motivation for selecting profile pictures that emphasize attractiveness and personality for both men and women. The findings are discussed in terms of the dynamic self-regulatory processing model of narcissism.

  7. Hierarchical Status Predicts Behavioral Vulnerability and Nucleus Accumbens Metabolic Profile Following Chronic Social Defeat Stress.

    Science.gov (United States)

    Larrieu, Thomas; Cherix, Antoine; Duque, Aranzazu; Rodrigues, João; Lei, Hongxia; Gruetter, Rolf; Sandi, Carmen

    2017-07-24

    Extensive data highlight the existence of major differences in individuals' susceptibility to stress [1-4]. While genetic factors [5, 6] and exposure to early life stress [7, 8] are key components for such neurobehavioral diversity, intriguing observations revealed individual differences in response to stress in inbred mice [9-12]. This raised the possibility that other factors might be critical in stress vulnerability. A key challenge in the field is to identify non-invasively risk factors for vulnerability to stress. Here, we investigated whether behavioral factors, emerging from preexisting dominance hierarchies, could predict vulnerability to chronic stress [9, 13-16]. We applied a chronic social defeat stress (CSDS) model of depression in C57BL/6J mice to investigate the predictive power of hierarchical status to pinpoint which individuals will exhibit susceptibility to CSDS. Given that the high social status of dominant mice would be the one particularly challenged by CSDS, we predicted and found that dominant individuals were the ones showing a strong susceptibility profile as indicated by strong social avoidance following CSDS, while subordinate mice were not affected. Data from 1 H-NMR spectroscopy revealed that the metabolic profile in the nucleus accumbens (NAc) relates to social status and vulnerability to stress. Under basal conditions, subordinates show lower levels of energy-related metabolites compared to dominants. In subordinates, but not dominants, levels of these metabolites were increased after exposure to CSDS. To the best of our knowledge, this is the first study that identifies non-invasively the origin of behavioral risk factors predictive of stress-induced depression-like behaviors associated with metabolic changes. Copyright © 2017 Elsevier Ltd. All rights reserved.

  8. Ion induced optical emission for surface and depth profile analysis

    International Nuclear Information System (INIS)

    White, C.W.

    1977-01-01

    Low-energy ion bombardment of solid surfaces results in the emission of infrared, visible, and ultraviolet radiation produced by inelastic ion-solid collision processes. The emitted optical radiation provides important insight into low-energy particle-solid interactions and provides the basis for an analysis technique which can be used for surface and depth profile analysis with high sensitivity. The different kinds of collision induced optical radiation emitted as a result of low-energy particle-solid collisions are reviewed. Line radiation arising from excited states of sputtered atoms or molecules is shown to provide the basis for surface and depth profile analysis. The spectral characteristics of this type of radiation are discussed and applications of the ion induced optical emission technique are presented. These applications include measurements of ion implant profiles, detection sensitivities for submonolayer quantities of impurities on elemental surfaces, and the detection of elemental impurities on complex organic substrates

  9. Social network analysis community detection and evolution

    CERN Document Server

    Missaoui, Rokia

    2015-01-01

    This book is devoted to recent progress in social network analysis with a high focus on community detection and evolution. The eleven chapters cover the identification of cohesive groups, core components and key players either in static or dynamic networks of different kinds and levels of heterogeneity. Other important topics in social network analysis such as influential detection and maximization, information propagation, user behavior analysis, as well as network modeling and visualization are also presented. Many studies are validated through real social networks such as Twitter. This edit

  10. Assessing Anti-American Sentiment Through Social Media Analysis

    Science.gov (United States)

    2016-12-01

    165 Yuri Kageyama, “Twitter Takes Off in Japan – Social Network Changes Nation’s Internet Culture,” Journal - Gazette, July 4, 2010, http...military shows of force in and around Japan . 14. SUBJECT TERMS anti-Americanism, Twitter, social media analysis; drone strike; Pakistan, UAV...hypothesizes that social media analysis, specifically analysis of messages sent through the Twitter network , can be used to gauge the overall

  11. Characterizing Social Interaction in Tobacco-Oriented Social Networks: An Empirical Analysis

    OpenAIRE

    Liang, Yunji; Zheng, Xiaolong; Zeng, Daniel Dajun; Zhou, Xingshe; Leischow, Scott James; Chung, Wingyan

    2015-01-01

    Social media is becoming a new battlefield for tobacco ?wars?. Evaluating the current situation is very crucial for the advocacy of tobacco control in the age of social media. To reveal the impact of tobacco-related user-generated content, this paper characterizes user interaction and social influence utilizing social network analysis and information theoretic approaches. Our empirical studies demonstrate that the exploding pro-tobacco content has long-lasting effects with more active users a...

  12. Online social media analysis and visualization

    CERN Document Server

    Kawash, Jalal

    2015-01-01

    This edited volume addresses the vast challenges of adapting Online Social Media (OSM) to developing research methods and applications. The topics cover generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, behavior detection, mining social content for common trends, identifying and ranking social content sources, building friend-comprehension tools, and many others. Each of the ten chapters tackle one or more of these issues by proposing new analysis methods or new visualization techn

  13. THE USES OF HUMOR IN SOCIAL WORK PRACTICE: ANALYSIS OF SOCIAL WORKERS’ EXPERIENCE

    Directory of Open Access Journals (Sweden)

    Gabrielė Vaitulionytė

    2016-12-01

    Full Text Available The article discusses how humor could enrich social work practice and guideline social workers. Social work field is not that traditionally relates with humor. While social work scholars argue that social work field is full of contradictions and humor is relevant tool to express those contradictions and paradoxes. In micro level practice Gitterman (2003 suggests humor could be a creative tool that “must be used differently based on client background, level of functioning, and specific situation”. Article presents results of qualitative study. The analysis of social workers’ professional experiences is based on social constructionism perspective with the aim to explain how humor is used in everyday practice and how use of purposive humor could be helpful in social work intervention. Episodic interviews with six social workers working in intercultural social work field were conducted. Transcripts of interviews were analyzed through conceptualization, developing story and maximizing aims of the study. Anonymity and confidentiality was considered. The results of analysis demonstrate that humor is unique experience in the sociocultural context. Discursive categories explain the purpose of humor for practice, circumstances and conditions for using that determine how the use of humor could contribute to the success of a social worker-client interaction. Using humor is considered as professional competence, which suggests that “having a good sense of humor” and appropriate use of humor with ability to demonstrate empathy and honesty in social worker-client interaction is an important part of social worker competence. Humor as a professional competence contained understanding of the humorous taboo. During analysis were explored how using humor and cultural stories of clients create mezzo level strategies for professional social work practice. Keywords: humor in social work practice, social work process, humor taboo.

  14. How can social network analysis contribute to social behavior research in applied ethology?

    Science.gov (United States)

    Makagon, Maja M; McCowan, Brenda; Mench, Joy A

    2012-05-01

    Social network analysis is increasingly used by behavioral ecologists and primatologists to describe the patterns and quality of interactions among individuals. We provide an overview of this methodology, with examples illustrating how it can be used to study social behavior in applied contexts. Like most kinds of social interaction analyses, social network analysis provides information about direct relationships (e.g. dominant-subordinate relationships). However, it also generates a more global model of social organization that determines how individual patterns of social interaction relate to individual and group characteristics. A particular strength of this approach is that it provides standardized mathematical methods for calculating metrics of sociality across levels of social organization, from the population and group levels to the individual level. At the group level these metrics can be used to track changes in social network structures over time, evaluate the effect of the environment on social network structure, or compare social structures across groups, populations or species. At the individual level, the metrics allow quantification of the heterogeneity of social experience within groups and identification of individuals who may play especially important roles in maintaining social stability or information flow throughout the network.

  15. MetaMeta: integrating metagenome analysis tools to improve taxonomic profiling.

    Science.gov (United States)

    Piro, Vitor C; Matschkowski, Marcel; Renard, Bernhard Y

    2017-08-14

    Many metagenome analysis tools are presently available to classify sequences and profile environmental samples. In particular, taxonomic profiling and binning methods are commonly used for such tasks. Tools available among these two categories make use of several techniques, e.g., read mapping, k-mer alignment, and composition analysis. Variations on the construction of the corresponding reference sequence databases are also common. In addition, different tools provide good results in different datasets and configurations. All this variation creates a complicated scenario to researchers to decide which methods to use. Installation, configuration and execution can also be difficult especially when dealing with multiple datasets and tools. We propose MetaMeta: a pipeline to execute and integrate results from metagenome analysis tools. MetaMeta provides an easy workflow to run multiple tools with multiple samples, producing a single enhanced output profile for each sample. MetaMeta includes a database generation, pre-processing, execution, and integration steps, allowing easy execution and parallelization. The integration relies on the co-occurrence of organisms from different methods as the main feature to improve community profiling while accounting for differences in their databases. In a controlled case with simulated and real data, we show that the integrated profiles of MetaMeta overcome the best single profile. Using the same input data, it provides more sensitive and reliable results with the presence of each organism being supported by several methods. MetaMeta uses Snakemake and has six pre-configured tools, all available at BioConda channel for easy installation (conda install -c bioconda metameta). The MetaMeta pipeline is open-source and can be downloaded at: https://gitlab.com/rki_bioinformatics .

  16. Optimal treatment of social phobia: systematic review and meta-analysis

    Directory of Open Access Journals (Sweden)

    Scott KM

    2012-05-01

    Full Text Available John Canton, Kate M Scott, Paul GlueDepartment of Psychological Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New ZealandAbstract: This article proposes a number of recommendations for the treatment of generalized social phobia, based on a systematic literature review and meta-analysis. An optimal treatment regimen would include a combination of medication and psychotherapy, along with an assertive clinical management program. For medications, selective serotonin reuptake inhibitors and dual serotonin-norepinephrine reuptake inhibitors are first-line choices based on their efficacy and tolerability profiles. The nonselective monoamine oxidase inhibitor, phenelzine, may be more potent than these two drug classes, but because of its food and drug interaction liabilities, its use should be restricted to patients not responding to selective serotonin reuptake inhibitors or serotonin-norepinephrine reuptake inhibitors. There are other medication classes with demonstrated efficacy in social phobia (benzodiazepines, antipsychotics, alpha-2-delta ligands, but due to limited published clinical trial data and the potential for dependence and withdrawal issues with benzodiazepines, it is unclear how best to incorporate these drugs into treatment regimens. There are very few clinical trials on the use of combined medications. Cognitive behavior therapy appears to be more effective than other evidence-based psychological techniques, and its effects appear to be more enduring than those of pharmacotherapy. There is some evidence, albeit limited to certain drug classes, that the combination of medication and cognitive behavior therapy may be more effective than either strategy used alone. Generalized social phobia is a chronic disorder, and many patients will require long-term support and treatment.Keywords: social phobia, social anxiety disorder, psychotherapy, cognitive behavior therapy, antidepressant

  17. The development of social relationships, social support, and posttraumatic growth in a dragon boating team for breast cancer survivors.

    Science.gov (United States)

    McDonough, Meghan H; Sabiston, Catherine M; Ullrich-French, Sarah

    2011-10-01

    Physical activity experiences may contribute to psychological and social wellbeing among breast cancer survivors. The main purpose of the current study was to qualitatively explore the development of social relationships, social support, and posttraumatic growth among breast cancer survivors participating in a dragon boat program over 19 months. Guided by interpretative phenomenological analysis (Smith, Flowers, & Larkin, 2009), semistructured interviews were conducted with 17 breast cancer survivors on five occasions over their first two seasons of dragon boating. Narrative accounts were developed for each participant, and four profiles emerged describing processes of social and posttraumatic growth development over time: "developing a feisty spirit of survivorship," "I don't want it to be just about me," "it's not about the pink it's about the paddling," and "hard to get close." Profiles were discussed in terms of developing social relationships and support, providing support to others, physicality and athleticism, and negative interactions and experiences.

  18. Error analysis for mesospheric temperature profiling by absorptive occultation sensors

    Directory of Open Access Journals (Sweden)

    M. J. Rieder

    Full Text Available An error analysis for mesospheric profiles retrieved from absorptive occultation data has been performed, starting with realistic error assumptions as would apply to intensity data collected by available high-precision UV photodiode sensors. Propagation of statistical errors was investigated through the complete retrieval chain from measured intensity profiles to atmospheric density, pressure, and temperature profiles. We assumed unbiased errors as the occultation method is essentially self-calibrating and straight-line propagation of occulted signals as we focus on heights of 50–100 km, where refractive bending of the sensed radiation is negligible. Throughout the analysis the errors were characterized at each retrieval step by their mean profile, their covariance matrix and their probability density function (pdf. This furnishes, compared to a variance-only estimation, a much improved insight into the error propagation mechanism. We applied the procedure to a baseline analysis of the performance of a recently proposed solar UV occultation sensor (SMAS – Sun Monitor and Atmospheric Sounder and provide, using a reasonable exponential atmospheric model as background, results on error standard deviations and error correlation functions of density, pressure, and temperature profiles. Two different sensor photodiode assumptions are discussed, respectively, diamond diodes (DD with 0.03% and silicon diodes (SD with 0.1% (unattenuated intensity measurement noise at 10 Hz sampling rate. A factor-of-2 margin was applied to these noise values in order to roughly account for unmodeled cross section uncertainties. Within the entire height domain (50–100 km we find temperature to be retrieved to better than 0.3 K (DD / 1 K (SD accuracy, respectively, at 2 km height resolution. The results indicate that absorptive occultations acquired by a SMAS-type sensor could provide mesospheric profiles of fundamental variables such as temperature with

  19. Error analysis for mesospheric temperature profiling by absorptive occultation sensors

    Directory of Open Access Journals (Sweden)

    M. J. Rieder

    2001-01-01

    Full Text Available An error analysis for mesospheric profiles retrieved from absorptive occultation data has been performed, starting with realistic error assumptions as would apply to intensity data collected by available high-precision UV photodiode sensors. Propagation of statistical errors was investigated through the complete retrieval chain from measured intensity profiles to atmospheric density, pressure, and temperature profiles. We assumed unbiased errors as the occultation method is essentially self-calibrating and straight-line propagation of occulted signals as we focus on heights of 50–100 km, where refractive bending of the sensed radiation is negligible. Throughout the analysis the errors were characterized at each retrieval step by their mean profile, their covariance matrix and their probability density function (pdf. This furnishes, compared to a variance-only estimation, a much improved insight into the error propagation mechanism. We applied the procedure to a baseline analysis of the performance of a recently proposed solar UV occultation sensor (SMAS – Sun Monitor and Atmospheric Sounder and provide, using a reasonable exponential atmospheric model as background, results on error standard deviations and error correlation functions of density, pressure, and temperature profiles. Two different sensor photodiode assumptions are discussed, respectively, diamond diodes (DD with 0.03% and silicon diodes (SD with 0.1% (unattenuated intensity measurement noise at 10 Hz sampling rate. A factor-of-2 margin was applied to these noise values in order to roughly account for unmodeled cross section uncertainties. Within the entire height domain (50–100 km we find temperature to be retrieved to better than 0.3 K (DD / 1 K (SD accuracy, respectively, at 2 km height resolution. The results indicate that absorptive occultations acquired by a SMAS-type sensor could provide mesospheric profiles of fundamental variables such as temperature with

  20. Social network analysis: Presenting an underused method for nursing research.

    Science.gov (United States)

    Parnell, James Michael; Robinson, Jennifer C

    2018-06-01

    This paper introduces social network analysis as a versatile method with many applications in nursing research. Social networks have been studied for years in many social science fields. The methods continue to advance but remain unknown to most nursing scholars. Discussion paper. English language and interpreted literature was searched from Ovid Healthstar, CINAHL, PubMed Central, Scopus and hard copy texts from 1965 - 2017. Social network analysis first emerged in nursing literature in 1995 and appears minimally through present day. To convey the versatility and applicability of social network analysis in nursing, hypothetical scenarios are presented. The scenarios are illustrative of three approaches to social network analysis and include key elements of social network research design. The methods of social network analysis are underused in nursing research, primarily because they are unknown to most scholars. However, there is methodological flexibility and epistemological versatility capable of supporting quantitative and qualitative research. The analytic techniques of social network analysis can add new insight into many areas of nursing inquiry, especially those influenced by cultural norms. Furthermore, visualization techniques associated with social network analysis can be used to generate new hypotheses. Social network analysis can potentially uncover findings not accessible through methods commonly used in nursing research. Social networks can be analysed based on individual-level attributes, whole networks and subgroups within networks. Computations derived from social network analysis may stand alone to answer a research question or incorporated as variables into robust statistical models. © 2018 John Wiley & Sons Ltd.

  1. Social Media and Pediatric Scoliosis: An Analysis of Patient and Surgeon Use.

    Science.gov (United States)

    Haeberle, Heather S; Egger, Anthony C; Navarro, Sergio M; Cornaghie, Mary M; Ramkumar, Prem N; Goodwin, Ryan C; Mont, Michael A

    2017-10-12

    The purpose of this observational study was to investigate and analyze the social media presence of both patients and surgeons in relation to pediatric scoliosis. First, patient Instagram (Instagram, Inc., San Francisco, California) posts were evaluated for 1) media format; 2) timing in relation to surgery; 3) tone; 4) perspective; 5) content; and 6) subject reference. To analyze reciprocal engagement, the presence and activity of pediatric scoliosis surgeons at five major academic centers were subsequently analyzed on Instagram, Twitter (Twitter Inc., San Francisco, California), and LinkedIn (LinkedIn Corporation, Sunnyvale, California). A search of public Instagram profiles was performed over a one-year period from February 2016 to February 2017. Posts related to pediatric scoliosis were selected for analysis using a hashtag search with 30 related terms. A total of 982 posts were retrieved, with 669 posts meeting the inclusion criteria. Each post was then evaluated for timing, tone, perspective, and content using a categorical scoring system. An additional analysis was performed using academic orthopaedic hospitals' websites, in which the names of scoliosis surgeons were found and searched for on Instagram, Twitter, and LinkedIn. Their profiles were analyzed for level and length of activity, number of followers or connections, and references to clinical practice. A total of 669 posts related to scoliosis were analyzed, the majority of which were temporally related to non-operative (74.7%) or post-operative (21.8%) settings. Patients (33.3%), friends and family (34.4%), and professional organizations (23.8%) were the most active contributors. The vast majority of posts were positive in nature (88.9 %) and highlighted the patient experience (79.2%), specifically related to bracing (33.1%), activities of daily living (31.7%), and surgical site or x-rays (25.5%). Of the social media sites analyzed, surgeons were found to have the highest presence on LinkedIn (55

  2. Social Media Metrics and Bibliometric Profiles of Neurosurgical Departments and Journals: Is There a Relationship?

    Science.gov (United States)

    Alotaibi, Naif M; Guha, Daipayan; Fallah, Aria; Aldakkan, Abdulrahman; Nassiri, Farshad; Badhiwala, Jetan H; Ibrahim, George M; Shamji, Mohammed F; Macdonald, R Loch; Lozano, Andres M

    2016-06-01

    Social media plays an increasingly important role in dissemination of knowledge and raising awareness of selected topics among the general public and the academic community. To investigate the relationship between social media metrics and academic indices of neurosurgical programs and journals. A 2-step online search was performed to identify official social media accounts of neurosurgical departments that were accredited by the Accreditation Council for Graduate Medical Education and the Royal College of Physicians and Surgeons of Canada. Dedicated neurosurgery and spine journals' social media accounts also were identified through an online search on SCImago Journal and Country Rank portal. Nonparametric tests were performed with bootstrapping to compare groups and to look for correlations between social media and academic metrics. We identified 36 social media accounts officially affiliated with academic neurosurgical institutions. These accounts represented 22 of 119 neurosurgical programs in North America (18.4%). The presence of a social media account for neurosurgical departments was associated with statistically significant higher values of academic impact metrics (P social media metrics for neurosurgical department accounts, however, did not correlate with any values of academic indices. For journals, there were 11 journals present on social media and had greater academic metrics compared with journals without social media presence (P Social media presence is associated with stronger academic bibliometrics profiles for both neurosurgical departments and journals. The impact of social media metrics on indices of scientific impact in neurosurgery is not known. Copyright © 2016 Elsevier Inc. All rights reserved.

  3. Dissociative features in posttraumatic stress disorder: A latent profile analysis.

    Science.gov (United States)

    Műllerová, Jana; Hansen, Maj; Contractor, Ateka A; Elhai, Jon D; Armour, Cherie

    2016-09-01

    The fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) characterizes the dissociative subtype of posttraumatic stress disorder (PTSD) in terms of the individual meeting the criteria for PTSD and additionally reporting symptoms of depersonalization and/or derealization. The current study aimed to examine whether a dissociative PTSD profile may include alternative features of dissociation and whether it could be differentiated from a nondissociative PTSD profile on certain psychopathologies and demographics. Data from 309 trauma-exposed participants, collected through Amazon Mechanical Turk, were subjected to latent profile analysis. Regression analyses were used to examine the predictors of latent classes. Three discrete profiles named Baseline, PTSD, and Dissociative profile were uncovered. All examined features of dissociation were significantly elevated in the Dissociative profile. Anxiety, male sex, being employed, and having a minority racial background significantly predicted the Dissociative profile relative to the PTSD profile. The study points to the importance of alternative symptoms of dissociation in the dissociative PTSD subtype beyond the symptoms of depersonalization and derealization. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  4. Depth profile analysis of polymerized fluorine compound on photo-resist film with angle-resolved XPS

    International Nuclear Information System (INIS)

    Iijima, Yoshitoki; Kubota, Toshio; Oinaka, Syuhei

    2013-01-01

    Angle-resolved XPS (ARXPS) is an observation technique which is very effective in chemical depth analysis method less than photoelectron detected depth. For the analysis of depth profile, several analysis methods have been proposed to calculate the depth profile using the ARXPS method. The present report is the measurements of depth profile of the fluorine in a fluorine-containing photo-resist film using the ARXPS method and the depth profile of concentration have been successfully determined using the ARCtick 1.0 software. It has been observed that thickness of the fluorocarbon enriched surface layer of the photo-resist was 2.7 nm, and so that the convert of the ARXPS data from the angle profile to the depth profile was proved to be useful analysis method for the ultrathin layer depth. (author)

  5. Content relatedness in the social web based on social explicit semantic analysis

    Science.gov (United States)

    Ntalianis, Klimis; Otterbacher, Jahna; Mastorakis, Nikolaos

    2017-06-01

    In this paper a novel content relatedness algorithm for social media content is proposed, based on the Explicit Semantic Analysis (ESA) technique. The proposed scheme takes into consideration social interactions. In particular starting from the vector space representation model, similarity is expressed by a summation of term weight products. In this paper, term weights are estimated by a social computing method, where the strength of each term is calculated by the attention the terms receives. For this reason each post is split into two parts, title and comments area, while attention is defined by the number of social interactions such as likes and shares. The overall approach is named Social Explicit Semantic Analysis. Experimental results on real data show the advantages and limitations of the proposed approach, while an initial comparison between ESA and S-ESA is very promising.

  6. Profiles of bullying victimization, discrimination, social support, and school safety: Links with Latino/a youth acculturation, gender, depressive symptoms, and cigarette use.

    Science.gov (United States)

    Lorenzo-Blanco, Elma I; Unger, Jennifer B; Oshri, Assaf; Baezconde-Garbanati, Lourdes; Soto, Daniel

    2016-01-01

    Latino/a youth are at risk for symptoms of depression and cigarette smoking but this risk varies by acculturation and gender. To understand why some youth are at greater risk than others, we identified profiles of diverse community experiences (perceived discrimination, bullying victimization, social support, perceived school safety) and examined associations between profiles of community experience and depressive symptoms, cigarette smoking, acculturation, and gender. Data came from Project Red (Reteniendo y Entendiendo Diversidad para Salud), a school-based longitudinal study of acculturation among 1,919 Latino/a adolescents (52% female; 84% 14 years old; 87% U.S. born). Latent profile analysis (LPA) revealed 4 distinct profiles of community experience that varied by gender and acculturation. Boys were overrepresented in profile groups with high perceived discrimination, some bullying, and lack of positive experiences, while girls were overrepresented in groups with high bullying victimization in the absence and presence of other community experiences. Youth low on both U.S. and Latino/a cultural orientation described high perceived discrimination and lacked positive experiences, and were predominantly male. Profiles characterized by high perceived discrimination and /or high bullying victimization in the absence of positive experiences had higher levels of depressive symptoms and higher risk of smoking, relative to the other groups. Findings suggest that acculturation comes with diverse community experiences that vary by gender and relate to smoking and depression risk. Results from this research can inform the development of tailored intervention and prevention strategies to reduce depression and/or smoking for Latino/a youth. (c) 2016 APA, all rights reserved).

  7. The national psychological/personality profile of Romanians: An in depth analysis of the regional national psychological/personality profile of Romanians

    Directory of Open Access Journals (Sweden)

    David, D.

    2015-12-01

    Full Text Available In this article we perform an in depth analysis of the national psychological/personality profile of Romanians. Following recent developments in the field (see Rentfrow et al., 2013; 2015, we study the regional national psychological/personality profile of Romanians, based on the Big Five model (i.e., NEO PI/R. Using a representative sample (N1 = 1000, we performed a cluster analysis and identified two bipolar personality profiles in the population: cluster 1, called “Factor X-”, characterized by high neuroticism and low levels of extraversion, openness, agreeableness, and conscientiousness, and cluster 2, called “Factor X+”, characterized by the opposite configuration in personality traits, low neuroticism and high levels of extraversion, openness, agreeableness, and conscientiousness. The same two cluster pattern/solution emerged in other samples (N = 2200, with other Big Five-based instruments, and by using various methods of data (e.g., direct vs. reversed item score, controlling for item desirability and cluster (i.e., with and without “running means” analyses. These two profiles are quite evenly distributed in the overall population, but also across all geographical regions. Moreover, comparing the distribution of the five personality traits, we found just few small differences between the eight geographical divisions that we used for our analysis. These results suggest that the regional national psychological/personality profile of Romania is quite homogenous. Directions for harnessing the potential of both personality profiles are presented to the reader. Other implications based on the bipolar and fractal structure of the personality profile are discussed from an interdisciplinary perspective.

  8. Profiles in coping: responses to sexual harassment across persons, organizations, and cultures.

    Science.gov (United States)

    Cortina, Lilia M; Wasti, S Arzu

    2005-01-01

    This study explicates the complexity of sexual harassment coping behavior among 4 diverse samples of working women: (a) working-class Hispanic Americans, (b) working-class Anglo Americans, (c) professional Turks, and (d) professional Anglo Americans. K-means cluster analysis revealed 3 common harassment coping profiles: (a) detached, (b) avoidant negotiating, and (c) support seeking. The authors then tested an integrated framework of coping profile determinants, involving social power, stressor severity, social support, and culture. Analysis of variance, chi-square, and discriminant function results identified significant determinants at each of the 4 levels of this ecological model. These findings underscore the importance of focusing on whole patterns of experience--and considering influences at the level of the individual employee and multiple levels of the surrounding context--when studying how women cope with workplace sexual harassment.

  9. Social media design for dummies

    CERN Document Server

    Warner, Janine

    2014-01-01

    Learn to design professional and effective social media profiles! Whether you're trying to attract a new employer or get new fans to notice your brand, your social media profiles need to distinguish you from the masses. Packed with the secrets behind the hottest Facebook timelines, Twitter backgrounds, and LinkedIn profiles, this fun-but-straightforward guide shows you how to create eye-catching social media profiles with a professional, cohesive design. Includes online resources and downloadable templates that allow you to make your own profiles quick and easyReveals techniques for making a

  10. Representation of Social History Factors Across Age Groups: A Topic Analysis of Free-Text Social Documentation.

    Science.gov (United States)

    Lindemann, Elizabeth A; Chen, Elizabeth S; Wang, Yan; Skube, Steven J; Melton, Genevieve B

    2017-01-01

    As individuals age, there is potential for dramatic changes in the social and behavioral determinants that affect health status and outcomes. The importance of these determinants has been increasingly recognized in clinical decision-making. We sought to characterize how social and behavioral health determinants vary in different demographic groups using a previously established schema of 28 social history types through both manual analysis and automated topic analysis of social documentation in the electronic health record across the population of an entire integrated healthcare system. Our manual analysis generated 8,335 annotations over 1,400 documents, representing 24 (86%) social history types. In contrast, automated topic analysis generated 22 (79%) social history types. A comparative evaluation demonstrated both similarities and differences in coverage between the manual and topic analyses. Our findings validate the widespread nature of social and behavioral determinants that affect health status over populations of individuals over their lifespan.

  11. Blade profile optimization of kaplan turbine using cfd analysis

    International Nuclear Information System (INIS)

    Janjua, A.B.; Khalil, M.S.

    2013-01-01

    Utilization of hydro-power as renewable energy source is of prime importance in the world now. Hydropower energy is available in abundant in form of falls, canals rivers, dams etc. It means, there are various types of sites with different parameters like flow rate, heads, etc. Depending upon the sites, water turbines are designed and manufactured to avail hydro-power energy. Low head turbines on runof-river are widely used for the purpose. Low head turbines are classified as reaction turbines. For runof-river, depending upon the variety of site data, low head Kaplan turbines are selected, designed and manufactured. For any given site requirement, it becomes very essential to design the turbine runner blades through optimization of the CAD model of blades profile. This paper presents the optimization technique carried out on a complex geometry of blade profile through static and dynamic computational analysis. It is used through change of the blade profile geometry at five different angles in the 3D (Three Dimensional) CAD model. Blade complex geometry and design have been developed by using the coordinates point system on the blade in PRO-E /CREO software. Five different blade models are developed for analysis purpose. Based on the flow rate and heads, blade profiles are analyzed using ANSYS software to check and compare the output results for optimization of the blades for improved results which show that by changing blade profile angle and its geometry, different blade sizes and geometry can be optimized using the computational techniques with changes in CAD models. (author)

  12. Blade Profile Optimization of Kaplan Turbine Using CFD Analysis

    Directory of Open Access Journals (Sweden)

    Aijaz Bashir Janjua

    2013-10-01

    Full Text Available Utilization of hydro-power as renewable energy source is of prime importance in the world now. Hydropower energy is available in abundant in form of falls, canals rivers, dams etc. It means, there are various types of sites with different parameters like flow rate, heads, etc. Depending upon the sites, water turbines are designed and manufactured to avail hydro-power energy. Low head turbines on runof-river are widely used for the purpose. Low head turbines are classified as reaction turbines. For runof river, depending upon the variety of site data, low head Kaplan turbines are selected, designed and manufactured. For any given site requirement, it becomes very essential to design the turbine runner blades through optimization of the CAD model of blades profile. This paper presents the optimization technique carried out on a complex geometry of blade profile through static and dynamic computational analysis. It is used through change of the blade profile geometry at five different angles in the 3D (Three Dimensional CAD model. Blade complex geometry and design have been developed by using the coordinates point system on the blade in PRO-E /CREO software. Five different blade models are developed for analysis purpose. Based on the flow rate and heads, blade profiles are analyzed using ANSYS software to check and compare the output results for optimization of the blades for improved results which show that by changing blade profile angle and its geometry, different blade sizes and geometry can be optimized using the computational techniques with changes in CAD models.

  13. Profiling Space Heating Behavior in Chilean Social Housing: Towards Personalization of Energy Efficiency Measures

    Directory of Open Access Journals (Sweden)

    Victor Bunster

    2015-06-01

    Full Text Available Global increases in the demand for energy are imposing strong pressures over the environment while compromising the capacity of emerging economies to achieve sustainable development. In this context, implementation of effective strategies to reduce consumption in residential buildings has become a priority concern for policy makers as minor changes at the household scale can result in major energy savings. This study aims to contribute to ongoing research on energy consumer profiling by exploring the forecasting capabilities of discrete socio-economic factors that are accessible through social housing allocation systems. Accordingly, survey data gathered by the Chilean Ministry of Social Development was used identify key characteristics that may predict firewood usage for space heating purposes among potential beneficiaries of the Chilean social housing program. The analyzed data evidences strong correlations between general household characteristics and space heating behavior in certain climatic zones, suggesting that personalized delivery of energy efficiency measures can potentially increase the effectiveness of initiatives aimed towards the reduction of current patterns of consumption.

  14. AN ANALYSIS OF SOCIAL INCLUSION IN EU

    Directory of Open Access Journals (Sweden)

    HARALAMBIE GEORGE ALIN

    2017-08-01

    Full Text Available Social inclusion, a dynamic process of stringent topicality, manifested in the community space, is constituted in a subject with multiple reverberations on contemporary society. From this perspective, the growing interest of the Member States in social inclusion is due to the widening of existing inequalities in terms of people's living standards due to the deterioration of economic well-being. A growing number of studies on social cohesion at the level of the countries of the European Union tried to identify the similarities and disparities between Member States in the process of social inclusion. The paper evaluated and compared the existing disparities between the 28 EU countries, based on a set of social indicators that provide an insight into social inclusion. The methodology used implied a cluster analysis based on the method of k-means, which allowed me to form a grouping of Member States based on indicators of social inclusion. The results of the analysis reveal significant differences between the countries of the European Union regarding social inclusion due to factors of a political, economic and social nature. Understanding the mechanism of manifestation and correction of the level of social inclusion can provide, in this sense, explanations and solutions in capitalizing the economic potential by developing specific policies to the existing social imbalances.

  15. Social Profile Of The Aged In An Urban Population

    Directory of Open Access Journals (Sweden)

    J A Khan

    1997-08-01

    Full Text Available Research Problem: What is the socio-demographic profile of urban aged population in Aligarh city.Objectives: i To describe the socio-demographic profile of the aged population in an urban area, ii To describe the attitude of these people.Design:Cross-sectional study.Setting : Urban areas of Aligarh city.Participants : 3951 persons aged 60 years and aboveStudy Variables: Socio-demographic characteristics, attitudes.Statistical Analysis : By proportions.Result: 15% of the total estimated elderly population covering all 10 sectors of Aligarh city was studied. The majority ofthe elderly (72.4% belonged to 60-70 years age group. Most of them (77.2% were illiterate, 61.6% belonged to lower socio-economic classes (IV & V, 78.1 % lived in joint families. 39.6% of the aged felt that they were not being given due respect by family members. Nearly half of them had an indifferent or unhappy attitude towards life.Conclusion: The socio-demographic characteristics of the aged are important and must be kept in mind for developing programs to assist them in living as respectful senior citizens.

  16. Strength analysis of welded corners of PVC window profiles

    Science.gov (United States)

    Postawa, P.; Stachowiak, T.; Gnatowski, A.

    2017-08-01

    The article presents the results of researches which main purpose was to define the influence of welding parameters on strength of welded corners of PVC window profile. PVC profiles of a branded name GENEO® produced by Rehau Company were used for this research. The profiles were made by using a co-extrusion method. The surface of the profile was made of PVC mixture with no additives. Its main task was to get a smooth surface resistant to a smudge. The use of an unfilled polyester provides an aesthetic look and improves the resistance of extrudate to water getting into inner layers. The profile's inner layers have been filled up with glass fibre in order to improve its stiffness and mechanical properties. Window frames with cut corners used for this research, were produced on technological line of EUROCOLOR Company based in Pyskowice (Poland). The main goal of this analysis was to evaluate the influence of the main welding parameter (temperature upsetting) on hardness of welds we received in whole process. A universal testing machine was used for the research.

  17. The Sensitivity Analysis of Axial Pressure Tube Creep Profile for Dryout Power in PHWR

    Energy Technology Data Exchange (ETDEWEB)

    Ryu, Euiseung; Kim, Youngae [KHNP CRI, Daejeon (Korea, Republic of)

    2016-10-15

    The Stern Laboratory performed the CHF tests with only one axial pressure tube creep profile per 3.3%, 5.1% peak crept channel and made CHF correlation including creep factor from the CHF test results. Wolsong nuclear power plants also have utilized the same CHF correlation derived by CNL. Pressure tube diameter creep rate is function of fast neutron, coolant temperature, and coolant pressure in a channel. It means that various axial pressure tube creep profiles exist in PHWR due to the history of operating conditions. Usually, CHF correlation is used during ROP(Regional Overpower Protection) Trip Setpoint Analysis or Safety Analysis in PHWR. The sensitivity analysis for CHF effects using various creep profiles is needed. This paper summarizes the comparison results of dryout power between CHF test creep profile and estimated creep profiles of Wolsong units. The effect of axial pressure tube creep profile for dryout power in fuel channel is evaluated by using Stern Lab. CHF test creep profile and 380 channel creep profiles of Wolsong. The dryout powers at 3.3% and 5.1% test conditions are slightly smaller when using 380 Wolsong channels creep profiles. These also show that the simulated dryout powers maintain consistency regardless of flow conditions.

  18. Religion-Related Child Maltreatment: A Profile of Cases Encountered by Legal and Social Service Agencies.

    Science.gov (United States)

    Bottoms, Bette L; Goodman, Gail S; Tolou-Shams, Marina; Diviak, Kathleen R; Shaver, Phillip R

    2015-08-01

    Religion can foster, facilitate, and be used to justify child maltreatment. Yet religion-related child abuse and neglect have received little attention from social scientists. We examined 249 cases of religion-related child maltreatment reported to social service agencies, police departments, and prosecutors' offices nationwide. We focused on cases involving maltreatment perpetrated by persons with religious authority, such as ministers and priests; the withholding of medical care for religious reasons; and abusive attempts to rid a child of supposed evil. By providing a descriptive statistical profile of the major features of these cases, we illustrate how these varieties of religion-related child maltreatment occur, who the victims and perpetrators are, and how religion-related child abuse and neglect are reported and processed by the social service and criminal justice systems. We end with a call for greater research attention to these important offenses against children. Copyright © 2015 John Wiley & Sons, Ltd.

  19. Using Social Media Sentiment Analysis for Interaction Design Choices

    DEFF Research Database (Denmark)

    McGuire, Mark; Kampf, Constance Elizabeth

    2015-01-01

    Social media analytics is an emerging skill for organizations. Currently, developers are exploring ways to create tools for simplifying social media analysis. These tools tend to focus on gathering data, and using systems to make it meaningful. However, we contend that making social media data...... meaningful is by nature a human-computer interaction problem. We examine this problem around the emerging field of sentiment analysis, exploring criteria for designing sentiment analysis systems based in Human Computer interaction, HCI. We contend that effective sentiment analysis affects audience analysis...

  20. How do professional Australian Football League (AFL) players utilise social media during periods of injury? A mixed methods analysis.

    Science.gov (United States)

    Nankervis, Brodie; Ferguson, Laura; Gosling, Cameron; Storr, Michael; Ilic, Dragan; Young, Mark; Maloney, Stephen

    2018-07-01

    The objective of this study was to explore how social media is used by a population of injured professional athletes, by comparing the content and frequency of posts on social media, pre and post-injury. A retrospective mixed methods design was utilised. Professional Australian Football League (AFL) players, injured during the 2015 season, were included in the study. Publicly accessible social media profiles for these players were identified on Twitter and Instagram. All posts published on verified profiles, from four weeks prior to injury until return to play, were extracted. Thematic analysis was used to investigate the content of these posts, while univariate and multivariate linear regression was used to investigate the frequency of posts during this time period. Two reoccurring themes were identified exclusively post-injury; 'supporting team from the sideline' and 'sharing information about injury and rehabilitation'. The frequency of total posts did not differ significantly pre and post-injury, but the frequency of injury related posts increased in the immediate post-injury phase, then decreased between 4-8 weeks and 8-12 weeks post-injury. The frequency of injury related posts was higher with more severe injuries. The findings of this study suggest that injured players use social media to seek social support from their followers, especially in the immediate post-injury period and after sustaining a severe injury. The role of social media in injury rehabilitation may warrant further investigation, to determine if it could be used to facilitate return to play. Copyright © 2017 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

  1. Disability profile/clinician-rated: validity for Brazilian university students with social anxiety disorder.

    Science.gov (United States)

    Vaccaro de Morais Abumusse, Luciene; Osório, Flávia L; Crippa, José Alexandre S; Loureiro, Sonia Regina

    2013-01-01

    Functional impairment scales are important to assess Social Anxiety Disorder (SAD) patients. The present study aims to evaluate the reliability, internal consistency, validity and factorial structure of the Disability Profile/Clinician-Rate (DP) scale, as well as to present an interview-guide to support its application by clinicians. University students (n = 173) of both genders participated in the study (SAD = 84 and Non-SAD = 89), with ages ranging between 17 and 35 years, systematically diagnosed. The SAD group presented more difficulties when compared to the Non-SAD group. The DP presented, for the SAD group, internal consistency of 0.68 (lifetime) and 0.67 (last two weeks). Inter-rater reliability varied from 0.75 to 0.93. Two factors were extracted and the correlation among such factors and the Social Phobia Inventory subscales presented association between fear and avoidance symptoms and the functional impairments. The scale presents good psychometric properties and can contribute to the assessment of functional impairments.

  2. Chloride ingress profiles measured by electron probe micro analysis

    DEFF Research Database (Denmark)

    Jensen, Ole mejlhede; Coats, Alison M.; Glasser, Fred P.

    1996-01-01

    Traditional techniques for measuring chloride ingress profiles do not apply well to high performance cement paste systems; the geometric resolution of the traditional measuring techniques is too low. In this paper measurements by Electron Probe Micro Analysis (EPMA) are presented. EPMA is demonst......Traditional techniques for measuring chloride ingress profiles do not apply well to high performance cement paste systems; the geometric resolution of the traditional measuring techniques is too low. In this paper measurements by Electron Probe Micro Analysis (EPMA) are presented. EPMA...... is demonstated to determine chloride ingress in cement paste on a micrometer scale. Potential chloride ingress routes such as cracks or the paste-aggregate interface may also be characterized by EPMA. Copyright (C) 1996 Elsevier Science Ltd...

  3. Graphic Communications--Commercial Photography. Ohio's Competency Analysis Profile.

    Science.gov (United States)

    Ohio State Univ., Columbus. Vocational Instructional Materials Lab.

    This Ohio Competency Analysis Profile (OCAP), derived from a modified Developing a Curriculum (DACUM) process, is a current comprehensive and verified employer competency program list for graphic communications--commercial photography. Each unit (with or without subunits) contains competencies and competency builders that identify the…

  4. Using Social Network Analysis to Investigate Positive EOL Communication.

    Science.gov (United States)

    Xu, Jiayun; Yang, Rumei; Wilson, Andrew; Reblin, Maija; Clayton, Margaret F; Ellington, Lee

    2018-04-30

    End of life (EOL) communication is a complex process involving the whole family and multiple care providers. Applications of analysis techniques that account for communication beyond the patient and patient/provider, will improve clinical understanding of EOL communication. To introduce the use of social network analysis to EOL communication data, and to provide an example of applying social network analysis to home hospice interactions. We provide a description of social network analysis using social network analysis to model communication patterns during home hospice nursing visits. We describe three social network attributes (i.e. magnitude, directionality, and reciprocity) in the expression of positive emotion among hospice nurses, family caregivers, and hospice cancer patients. Differences in communication structure by primary family caregiver gender and across time were also examined. Magnitude (frequency) in the expression of positive emotion occurred most often between nurses and caregivers or nurses and patients. Female caregivers directed more positive emotion to nurses, and nurses directed more positive emotion to other family caregivers when the primary family caregiver was male. Reciprocity (mutuality) in positive emotion declined towards day of death, but increased on day of actual patient death. There was variation in reciprocity by the type of positive emotion expressed. Our example demonstrates that social network analysis can be used to better understand the process of EOL communication. Social network analysis can be expanded to other areas of EOL research, such as EOL decision-making and health care teamwork. Copyright © 2018. Published by Elsevier Inc.

  5. Social Entrepreneurship: Framework for feasibility analysis of social business concepts

    OpenAIRE

    Groth, Ida Eikvåg; Magnussen, Line

    2011-01-01

    ABSTRACTPURPOSEWith the increased interest in social entrepreneurship demonstrated within business schools and academic environments, the adaption of existing academic entrepreneurial constructs for social entrepreneurship applications becomes relevant. The purpose of this thesis is to develop additional tools to the traditional feasibility analysis. The tools will be specifically directed at technology-based concepts, due to the increased employment of technology-based products to solve soci...

  6. The profile analysis of attempted-suicide patients referred to ...

    African Journals Online (AJOL)

    The profile analysis of attempted-suicide patients referred to Pelonomi ... The main precipitating factors included problematic relationships (55.4%), ... physical – 18.2%), low self-esteem/ worthlessness/hopelessness/humiliation (16.7%), and

  7. Social network in patient safety: Social media visibility

    Directory of Open Access Journals (Sweden)

    Azucena Santillán García

    2011-11-01

    Full Text Available Internet social network (social media is a powerful communication tool, and its use is expanding significantly. This paper seeks to know the current state of visibility in online social networks of active citizen talking about patient safety. This is an observational cross-sectional study whose target population is the websites Facebook, Twitter and Tuenti in Spain. By three consecutive cuts social profiles were found using the searching terms “seguridad+paciente” and “safety+patient”. There were found 5 profiles on Facebook that met the search criteria, 6 on Twitter and none were found on Tuenti. It is concluded that although there is evidence of the rise of social networking, citizen network involved in patient safety appears not to be significantly represented within the social networks examined.

  8. Profiles in coping: responses to sexual harassment across persons, organizations and cultures

    OpenAIRE

    Cortina, Lilia M.; Wasti, S. Arzu

    2005-01-01

    This study explicates the complexity of sexual harassment coping behavior among 4 diverse samples of working women: (a) working-class Hispanic Americans, (b) working-class Anglo Americans, (c) professional Turks, and (d) professional Anglo Americans. K-means cluster analysis revealed 3 common harassment coping profiles: (a) detached, (b) avoidant negotiating, and (c) support seeking. The authors then tested an integrated framework of coping profile determinants, involving social power, stress...

  9. Initial development of an automated task analysis profiling system

    International Nuclear Information System (INIS)

    Jorgensen, C.C.

    1984-01-01

    A program for automated task analysis is described. Called TAPS (task analysis profiling system), the program accepts normal English prose and outputs skills, knowledges, attitudes, and abilities (SKAAs) along with specific guidance and recommended ability measurement tests for nuclear power plant operators. A new method for defining SKAAs is presented along with a sample program output

  10. Photodegradation of wood and depth profile analysis

    International Nuclear Information System (INIS)

    Kataoka, Y.

    2008-01-01

    Photochemical degradation is a key process of the weathering that occurs when wood is exposed outdoors. It is also a major cause of the discoloration of wood in indoor applications. The effects of sunlight on the chemical composition of wood are superficial in nature, but estimates of the depth at which photodegradation occurs in wood vary greatly from 80 microm to as much as 2540 mic rom. Better understanding of the photodegradation of wood through depth profile analysis is desirable because it would allow the development of more effective photo-protective treatments that target the surface layers of wood most susceptible to photodegradation. This paper briefly describes fundamental aspects of photodegradation of wood and reviews progress made in the field of depth profile study on the photodegradation of wood. (author)

  11. Momentum profile analysis in one-neutron knockout from Borromean nuclei

    Energy Technology Data Exchange (ETDEWEB)

    Aksyutina, Yu. [GSI Helmholtzzentrum fuer Schwerionenforschung GmbH, ExtreMe Matter Institute, EMMI, D-64291 Darmstadt (Germany); Aumann, T. [Institut fuer Kernphysik, Technische Universitaet, D-64289 Darmstadt (Germany); Boretzky, K. [GSI Helmholtzzentrum fuer Schwerionenforschung GmbH, ExtreMe Matter Institute, EMMI, D-64291 Darmstadt (Germany); Borge, M.J.G. [Instituto Estructura de la Materia, CSIC, E-28006 Madrid (Spain); Caesar, C.; Chatillon, A. [GSI Helmholtzzentrum fuer Schwerionenforschung GmbH, ExtreMe Matter Institute, EMMI, D-64291 Darmstadt (Germany); Chulkov, L.V. [GSI Helmholtzzentrum fuer Schwerionenforschung GmbH, ExtreMe Matter Institute, EMMI, D-64291 Darmstadt (Germany); Kurchatov Institute, RU-123182 Moscow (Russian Federation); Cortina-Gil, D. [GSI Helmholtzzentrum fuer Schwerionenforschung GmbH, ExtreMe Matter Institute, EMMI, D-64291 Darmstadt (Germany); University of Santiago de Compostela, 15706 Santiago de Compostela (Spain); Datta Pramanik, U. [Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata 700064 (India); Emling, H. [GSI Helmholtzzentrum fuer Schwerionenforschung GmbH, ExtreMe Matter Institute, EMMI, D-64291 Darmstadt (Germany); Fynbo, H.O.U. [Department of Physics and Astronomy, University of Aarhus, DK-8000 Aarhus C (Denmark); Geissel, H.; Ickert, G. [GSI Helmholtzzentrum fuer Schwerionenforschung GmbH, ExtreMe Matter Institute, EMMI, D-64291 Darmstadt (Germany); Johansson, H.T. [Fundamental Fysik, Chalmers Tekniska Hoegskola, S-412 96 Goeteborg (Sweden); and others

    2013-01-29

    One-neutron knockout reactions from Borromean nuclei are analyzed using a profile function analysis technique. The profile function, which is derived as the square root of the variance of the measured fragment + neutron momenta as a function of their relative energy, is shown to be very sensitive to the angular momentum of the knocked out neutron. Three cases are studied here: {sup 7}He, where the profile function analysis shows a presence of (s{sub 1/2}){sup 2} component in the {sup 8}He ground-state wave-function, {sup 10}Li, where the presence of a 11(2)% d-wave contribution to the relative energy spectrum above 1.5 MeV is found and, finally, the presence of a major s contribution around 0.5 MeV relative energy in the {sup 13}Be case and that the observed decay to the {sup 12}Be 2{sup +} state originates in a d state in {sup 13}Be.

  12. Application of the maximum entropy method to profile analysis

    International Nuclear Information System (INIS)

    Armstrong, N.; Kalceff, W.; Cline, J.P.

    1999-01-01

    Full text: A maximum entropy (MaxEnt) method for analysing crystallite size- and strain-induced x-ray profile broadening is presented. This method treats the problems of determining the specimen profile, crystallite size distribution, and strain distribution in a general way by considering them as inverse problems. A common difficulty faced by many experimenters is their inability to determine a well-conditioned solution of the integral equation, which preserves the positivity of the profile or distribution. We show that the MaxEnt method overcomes this problem, while also enabling a priori information, in the form of a model, to be introduced into it. Additionally, we demonstrate that the method is fully quantitative, in that uncertainties in the solution profile or solution distribution can be determined and used in subsequent calculations, including mean particle sizes and rms strain. An outline of the MaxEnt method is presented for the specific problems of determining the specimen profile and crystallite or strain distributions for the correspondingly broadened profiles. This approach offers an alternative to standard methods such as those of Williamson-Hall and Warren-Averbach. An application of the MaxEnt method is demonstrated in the analysis of alumina size-broadened diffraction data (from NIST, Gaithersburg). It is used to determine the specimen profile and column-length distribution of the scattering domains. Finally, these results are compared with the corresponding Williamson-Hall and Warren-Averbach analyses. Copyright (1999) Australian X-ray Analytical Association Inc

  13. Perfil social de los cuidadores familiares de pacientes dependientes ingresados en el Hospital General Universitario de Elche Social profile of the family caregiver of dependant patients in the University General Hospital of Elche

    Directory of Open Access Journals (Sweden)

    Pablo López-Casanova

    2009-12-01

    Full Text Available El objetivo de este estudio es describir el perfil social de los cuidadores familiares en el Hospital General Universitario de Elche y conocer el tipo de necesidades que cubren. Metodología: Investigación de tipo descriptivo y transversal, mediante 32 encuestas realizadas entre enero y febrero de 2008, en el Servicio de Medicina Interna. Se efectuó un análisis descriptivo y las variables fueron edad, sexo, ingresos económicos, vivienda, trabajo, parentesco del cuidador y permanencia en el centro hospitalario. Resultados: El perfil del cuidador informal corresponde a una mujer, con una media de edad de 54 años y que permanece todo el día en el hospital. Las necesidades que el cuidador distingue como más importantes estuvieron relacionadas con la compañía, la vigilancia y las necesidades básicas. Conclusiones: El perfil del cuidador familiar es de cónyuges o madres. La realización de las tareas de cuidador supone un gasto de tiempo, dinero, desgaste físico, psicológico y social. Parte de las necesidades del paciente son cubiertas por los cuidadores informales, que reciben poca información y asesoramiento del personal de enfermería sobre cómo realizarlas. Por tanto, ampliar la mirada enfermera es una exigencia y demanda de nuestra sociedad.The aim of this study is to describe the social profile of the family caregivers in the University General Hospital of Elche, and to know the sort of needs that they cater for. Methodology: This is a descriptive and transversal piece of research, performed by means of 32 surveys done between January and February 2008 in the Internal Medicine service. A descriptive analysis was carried out; such analysis bore in mind the following variables: the caregivers´ age, sex, income, dwelling, employment, their kinship with the patient and the lenght of stay at the hospital. Results: The profile of the average informal caregiver corresponds to a woman of approximately 54 years old who stays all day in

  14. A Southern perspective for a social movements´ analysis

    Directory of Open Access Journals (Sweden)

    Lorena Camacho De la O

    2014-10-01

    Full Text Available This article establishes a reflection around Boaventura de Sousa Santos thought related to the reality`s social study. The focus is an implementation exercise of some of his categories linked to the social movements’ analysis via a particular case. With this in mind, it pretends to direct the analysis to the social movements (or people in motion as an indigenous claim discussion, part of the social science’s current debate. A central focus is the contrast of the social movement category with De Sousa`s (2009 proposals of “the sociology of absents”, “the sociology of the emergencies” and the “translation exercise” to reveal the heuristic richness of this thought as an explanation model for actual Costa Rican sociopolitical movements in the contemporaneous systemic social crisis context. Besides, this critical analysis process would help to comprehend the decolonial perspective`s utility and politic potential in particular social contexts studies, for example: Costa Rica.

  15. Ingredient classification according to the digestible amino acid profile: an exploratory analysis

    Directory of Open Access Journals (Sweden)

    DE Faria Filho

    2005-09-01

    Full Text Available This study aimed: 1 to classify ingredients according to the digestible amino acid (AA profile; 2 to determine ingredients with AA profile closer to the ideal for broiler chickens; and 3 to compare digestible AA profiles from simulated diets with the ideal protein profile. The digestible AA levels of 30 ingredients were compiled from the literature and presented as percentages of lysine according to the ideal protein concept. Cluster and principal component analyses (exploratory analyses were used to compose and describe groups of ingredients according to AA profiles. Four ingredient groups were identified by cluster analysis, and the classification of the ingredients within each of these groups was obtained from a principal component analysis, showing 11 classes of ingredients with similar digestible AA profiles. The ingredients with AA profiles closer to the ideal protein were meat and bone meal 45, fish meal 60 and wheat germ meal, all of them constituting Class 1; the ingredients from the other classes gradually diverged from the ideal protein. Soybean meal, which is the main protein source for poultry, showed good AA balance since it was included in Class 3. On the contrary, corn, which is the main energy source in poultry diets, was classified in Class 8. Dietary AA profiles were improved when corn and/or soybean meal were partially or totally replaced in the simulations by ingredients with better AA balance.

  16. Fuzzy-Set Based Sentiment Analysis of Big Social Data

    DEFF Research Database (Denmark)

    Mukkamala, Raghava Rao; Hussain, Abid; Vatrapu, Ravi

    2014-01-01

    Computational approaches to social media analytics are largely limited to graph theoretical approaches such as social network analysis (SNA) informed by the social philosophical approach of relational sociology. There are no other unified modelling approaches to social data that integrate...... the conceptual, formal, software, analytical and empirical realms. In this paper, we first present and discuss a theory and conceptual model of social data. Second, we outline a formal model based on fuzzy set theory and describe the operational semantics of the formal model with a real-world social data example...... from Facebook. Third, we briefly present and discuss the Social Data Analytics Tool (SODATO) that realizes the conceptual model in software and provisions social data analysis based on the conceptual and formal models. Fourth, we use SODATO to fetch social data from the facebook wall of a global brand...

  17. Identity Profiles in Lesbian, Gay, and Bisexual Youth: The Role of Family Influences

    Science.gov (United States)

    Bregman, Hallie R.; Malik, Neena M.; Page, Matthew J. L.; Makynen, Emily; Lindahl, Kristin M.

    2012-01-01

    Sexual identity development is a central task of adolescence and young adulthood and can be especially challenging for sexual minority youth. Recent research has moved from a stage model of identity development in lesbian, gay, and bisexual (LGB) youth to examining identity in a non-linear, multidimensional manner. In addition, although families have been identified as important to youth's identity development, limited research has examined the influence of parental responses to youth's disclosure of their LGB sexual orientation on LGB identity. The current study examined a multidimensional model of LGB identity and its links with parental support and rejection. One hundred and sixty-nine LGB adolescents and young adults (ages 14–24, 56% male, 48% gay, 31% lesbian, 21% bisexual) described themselves on dimensions of LGB identity and reported on parental rejection, sexuality-specific social support, and non-sexuality-specific social support. Using latent profile analysis (LPA), two profiles were identified, indicating that youth experience both affirmed and struggling identities. Results indicated that parental rejection and sexuality-specific social support from families were salient links to LGB identity profile classification, while non-sexuality specific social support was unrelated. Parental rejection and sexuality-specific social support may be important to target in interventions for families to foster affirmed LGB identity development in youth. PMID:22847752

  18. EMOTIONAL SELF-PRESENTATION ON WHATSAPP: ANALYSIS OF THE PROFILE STATUS

    Directory of Open Access Journals (Sweden)

    Кармен Маис-Аревало

    2018-12-01

    Full Text Available Self-presentation can be defined as “the process through which individuals communicate an image of themselves to others” (Yang and Brown, 2015: 404 and it is an essential part of human communication. Self-presentation has been widely studied both in face-to-face communication and online. Most online research, however, has focused on social networking sites, blogs, chatrooms, etc. while less attention has been paid to other online means of communication such as WhatsApp despite the growing im-portance of WhatsApp as a means of communication. The present paper aims to redress this imbalance by analysing self-presentation on WhatsApp; more specifically, by paying attention to emotional self-pre-sentation in profile status. To that purpose, a corpus of 206 WhatsApp statuses was gathered in Spanish. Results show the existence of recurrent patterns connected to variables such as sex1 or age, which play a crucial role in determining the emotions users choose to display in their profile status.

  19. Social media presence of otolaryngology journals: The past, present, and future.

    Science.gov (United States)

    Wong, Kevin; Piraquive, Jacquelyn; Levi, Jessica R

    2018-02-01

    Evaluate the use of Twitter by otolaryngology journals and determine the relationship between social media altmetrics and measures of academic impact. Cross-sectional analysis. Twitter profiles from the top 50 otolaryngology journals per 2016 SCImago Journal & Country Rank (SJR) were included. Twitter activity for each profile was calculated using Twitonomy analytics and Riffle software. Social media influence was measured using Klout scores. Annual SJR rank and H-Index scores between 2008 and 2016 were recorded for each journal. Associations between social media influence and academic indices were assessed using Wilcoxon rank sum test, Spearman's rank order test, and Pearson correlation coefficients (α = .05). Average SJR was 0.86 ± 0.3 and H-Index was 50.9 ± 24. Eighteen journals had Twitter profiles. Journals with social media accounts had significantly higher SJR (P = .03) and H-Index (P = .01) scores compared to those without. The average Klout score of Twitter profiles was 32.5 ± 13. There was a significant association between a journal's Klout score and SJR rank (P = .004). Older Twitter profiles had higher Klout scores (P = .04). There was a direct relationship between a journal's total Twitter followers and H-Index score (P = .009), and a direct relationship between tweets and academic influence (P = .03 and .01 for SJR and H-Index, respectively). Social media is often underutilized and remains an untapped resource by many journals to increase readership and disseminate research. Journals with social media profiles had significantly higher academic metrics, and among journals with profiles, increased online activity was a predictor for academic influence. Future studies are warranted to elucidate causal relationships. NA. Laryngoscope, 128:363-368, 2018. © 2017 The American Laryngological, Rhinological and Otological Society, Inc.

  20. Advances in X-ray powder diffraction profile analysis and its application in ceramic material studies

    International Nuclear Information System (INIS)

    Zhang, Y.

    1988-01-01

    This dissertation is concerned with the following major aspects: (1) the development of necessary computer codes to carry out X-ray powder diffraction profile analysis (XPDPA) calculations; (2) the establishment of a general reference material (GRM) which greatly extends the application of XPDPA and the study of the application of the GRM in profile analysis; (3) the determination of the coherent diffracting domain size and the lattice residual microstrain for some shock-modified and jet-milled materials. A computer code for diffraction profile refinement, XRAYL, fits a diffraction profile with any one of five mathematical functions, either as symmetric or asymmetric (split mode) forms. The resulting patterns meet the requirements for successful profile analysis of microstrain and crystallite size. Powder diffraction profile analysis requires an instrument calibration standard to correct data for instrumental profiles due to the system optics. A general reference material, LaB 6 , has been established. The pattern of this LaB 6 powder can be used to generate a reference pattern for any other substance. Through three applications, it has been shown that this LaB 6 sample can be used to remove the instrumental broadenings and gives reasonable size and strain estimates in the profile analysis of other materials. Many previous studies have shown that the solid state reactivity and physical properties of some ceramic materials can be substantially enhanced. XPDPA techniques have been used to study the plastic deformation and the reduction of crystallite size for eight shock-modified ceramic materials. The size and strain values of these materials are correlated with shock parameters

  1. Comparative Analysis of American and European Yachtsman Profile for Better Marketing Placement of Croatia as Tourism Destination

    Directory of Open Access Journals (Sweden)

    Andrijanić Ivo

    2016-12-01

    Full Text Available Countries develop their nautical tourism depending on their nature potentials and resources and in line with their national economic strategies. The main development determinant is a national strategy as the basis of all plans and activities. The nautical tourism development encourages tourism destination development and impacts on economic and social sustainability. Nautical tourism is a specific form of modern tourism trends whose extremely important and highly profitable economic influence is largely visible in numerous multiplicative effects. Renown world researches prove that nautical tourism is one of the most important economic activities in tourism sector, perceived in Croatia as one of the most competitive tourism products. The objective of this paper is to point at the necessity of differentiation of communication strategy and marketing placements towards target markets focused on attracting yachtsmen taking into account their different demographic and sociographic profile. The research and comparative analysis conducted in American and European yacht clubs showed significant differences in selection of tourism destinations based on demographic and sociographic profile of yachtsmen in specific geolocation. The purpose of this work is to prepare the comparative analysis of the European and American yachtsmen profiles, which will serve to create targeted strategic marketing model of attracting foreign yachtsmen in selection of their holiday tourism destination. The conclusions of this research show that Croatia has still not fully capitalized its potential in the nautical tourism sector and that the more comprehensive market segmentation is necessary in the process of planning how to attract foreign yachtsmen.

  2. Geo-Spatial Social Network Analysis of Social Media to Mitigate Disasters

    Science.gov (United States)

    Carley, K. M.

    2017-12-01

    Understanding the spatial layout of human activity can afford a better understanding many phenomena - such as local cultural, the spread of ideas, and the scope of a disaster. Today, social media is one of the key sensors for acquiring information on socio-cultural activity, some with cues as to the geo-location. We ask, What can be learned by putting such data on maps? For example, are people who chat on line more likely to be near each other? Can Twitter data support disaster planning or early warning? In this talk, such issues are examined using data collected via Twitter and analyzed using ORA. ORA is a network analysis and visualization system. It supports not just social networks (who is interacting with whom), but also high dimensional networks with many types of nodes (e.g. people, organizations, resources, activities …) and relations, geo-spatial network analysis, dynamic network analysis, & geo-temporal analysis. Using ORA lessons learned from five case studies are considered: Arab Spring, Tsunami warning in Padang Indonesia, Twitter around Fukushima in Japan, Typhoon Haiyan (Yolanda), & regional conflict. Using Padang Indonesia data, we characterize the strengths and limitations of social media data to support disaster planning & early warning, identify at risk areas & issues of concern, and estimate where people are and which areas are impacted. Using Fukushima Japanese data, social media is used to estimate geo-spatial regularities in movement and communication that can inform disaster response and risk estimation. Using Arab Spring data, we find that the spread of bots & extremists varies by country and time, to the extent that using twitter to understand who is important or what ideas are critical can be compromised. Bots and extremists can exploit disaster messaging to create havoc and facilitate criminal activity e.g. human trafficking. Event discovery mechanisms support isolating geo-epi-centers for key events become crucial. Spatial inference

  3. Gait profile score and movement analysis profile in patients with Parkinson's disease during concurrent cognitive load

    Science.gov (United States)

    Speciali, Danielli S.; Oliveira, Elaine M.; Cardoso, Jefferson R.; Correa, João C. F.; Baker, Richard; Lucareli, Paulo R. G.

    2014-01-01

    Background: Gait disorders are common in individuals with Parkinson's Disease (PD) and the concurrent performance of motor and cognitive tasks can have marked effects on gait. The Gait Profile Score (GPS) and the Movement Analysis Profile (MAP) were developed in order to summarize the data of kinematics and facilitate understanding of the results of gait analysis. Objective: To investigate the effectiveness of the GPS and MAP in the quantification of changes in gait during a concurrent cognitive load while walking in adults with and without PD. Method: Fourteen patients with idiopathic PD and nine healthy subjects participated in the study. All subjects performed single and dual walking tasks. The GPS/MAP was computed from three-dimensional gait analysis data. Results: Differences were found between tasks for GPS (PGait Variable Score (GVS) (pelvic rotation, knee flexion-extension and ankle dorsiflexion-plantarflexion) (Pgait impairment during the dual task and suggest that GPS/MAP may be used to evaluate the effects of concurrent cognitive load while walking in patients with PD. PMID:25054382

  4. Seminal Fluid Analysis And Biophysical Profile: Findings And ...

    African Journals Online (AJOL)

    Seminal Fluid Analysis And Biophysical Profile: Findings And Relevance In Infertile Males In Ilorin, Nigeria. EK Oghagbon, AAG Jimoh, SA Adebisi. Abstract. To determine if there was a bearing of body mass index (BMI) on male infertility, a cross-sectional study of males of infertile couples, attending our infertility clinic was ...

  5. State of the art applications of social network analysis

    CERN Document Server

    Can, Fazli; Polat, Faruk

    2014-01-01

    Social network analysis increasingly bridges the discovery of patterns in diverse areas of study as more data becomes available and complex. Yet the construction of huge networks from large data often requires entirely different approaches for analysis including; graph theory, statistics, machine learning and data mining. This work covers frontier studies on social network analysis and mining from different perspectives such as social network sites, financial data, e-mails, forums, academic research funds, XML technology, blog content, community detection and clique finding, prediction of user

  6. Extending Network Analysis with Social Inclusions: A Chinese Entrepreneur Building Social Capital

    NARCIS (Netherlands)

    Peverelli, P.J.; Song, L.J.W.

    2011-01-01

    Social network analysis is a highly useful tool to study the way individuals form alliances to cope with their daily tasks on the micro-level. We can map the interaction between the key persons involved into a graph, representing the social network. The result is then a snapshot of who interacts

  7. Visual analytics for multimodal social network analysis: a design study with social scientists.

    Science.gov (United States)

    Ghani, Sohaib; Kwon, Bum Chul; Lee, Seungyoon; Yi, Ji Soo; Elmqvist, Niklas

    2013-12-01

    Social network analysis (SNA) is becoming increasingly concerned not only with actors and their relations, but also with distinguishing between different types of such entities. For example, social scientists may want to investigate asymmetric relations in organizations with strict chains of command, or incorporate non-actors such as conferences and projects when analyzing coauthorship patterns. Multimodal social networks are those where actors and relations belong to different types, or modes, and multimodal social network analysis (mSNA) is accordingly SNA for such networks. In this paper, we present a design study that we conducted with several social scientist collaborators on how to support mSNA using visual analytics tools. Based on an openended, formative design process, we devised a visual representation called parallel node-link bands (PNLBs) that splits modes into separate bands and renders connections between adjacent ones, similar to the list view in Jigsaw. We then used the tool in a qualitative evaluation involving five social scientists whose feedback informed a second design phase that incorporated additional network metrics. Finally, we conducted a second qualitative evaluation with our social scientist collaborators that provided further insights on the utility of the PNLBs representation and the potential of visual analytics for mSNA.

  8. Characterizing Social Interaction in Tobacco-Oriented Social Networks: An Empirical Analysis.

    Science.gov (United States)

    Liang, Yunji; Zheng, Xiaolong; Zeng, Daniel Dajun; Zhou, Xingshe; Leischow, Scott James; Chung, Wingyan

    2015-06-19

    Social media is becoming a new battlefield for tobacco "wars". Evaluating the current situation is very crucial for the advocacy of tobacco control in the age of social media. To reveal the impact of tobacco-related user-generated content, this paper characterizes user interaction and social influence utilizing social network analysis and information theoretic approaches. Our empirical studies demonstrate that the exploding pro-tobacco content has long-lasting effects with more active users and broader influence, and reveal the shortage of social media resources in global tobacco control. It is found that the user interaction in the pro-tobacco group is more active, and user-generated content for tobacco promotion is more successful in obtaining user attention. Furthermore, we construct three tobacco-related social networks and investigate the topological patterns of these tobacco-related social networks. We find that the size of the pro-tobacco network overwhelms the others, which suggests a huge number of users are exposed to the pro-tobacco content. These results indicate that the gap between tobacco promotion and tobacco control is widening and tobacco control may be losing ground to tobacco promotion in social media.

  9. EMPRENDIMIENTO SOCIAL Y EMPRESAS DE INSERCIÓN EN ESPAÑA. APLICACIÓN DEL MÉTODO DELPHI PARA LA DETERMINACIÓN DEL PERFIL DEL EMPRENDEDOR Y LAS EMPRESAS SOCIALES CREADAS POR EMPRENDEDORES / SOCIAL ENTREPRENEURS AND INSERTION ENTERPRISE IN SPAIN. AN APPLICATION DELPHI METHOD FOR TO DETERMINATE ENTREPRENEURIAL PROFILE AND SOCIAL ENTERPRISE MADE OF ENTERPRENEURS

    Directory of Open Access Journals (Sweden)

    Amparo MELIÁN

    2011-09-01

    Full Text Available El emprendedor social es un agente de cambio que ayuda a paliar los efectos del desempleo y de la exclusión social de ciertos colectivos mediante la creación de empresas cuyo fin primordial es la inclusión sociolaboral de colectivos desfavorecidos. Si bien su importancia e interés es innegable, en la literatura económica no existe un reconocimiento explícito y claro del emprendimiento social y de la figura del emprendedor social. Un empresario que crea el negocio por vocación para cubrir necesidades sociales y donde la viabilidad de la empresa es fundamental para la continuidad del negocio. En este trabajo se efectúa una aproximación a la caracterización del perfil del emprendedor social y de las empresas sociales creadas por emprendedores en su función de inserción sociolaboral, mediante un estudio empírico basado en la metodología de análisis Delphi. Una formación especializada para profesionalizar la gestión o fomentar alianzas estratégicas son las alternativas que presentan los expertos para superar algunas de las deficiencias de las empresas sociales. / The social entrepreneur is an agent of change that helps mitigate the effects of unemployment and social exclusion of certain groups through the creation of companies whose primary aim is the inclusion of disadvantaged socio. Although its importance and interest is undeniable, in the economic literature there is no clear and explicit recognition of social entrepreneurship and social entrepreneurial figure. An entrepreneur who created the business by calling for social needs and where viability is essential for business continuity. This paper makes an approach to the characterization of the profile of social entrepreneurship and social businesses created by entrepreneurs in their role as labor integration, through an empirical study based on the Delphi analysis methodology. Specialized training to professionalize the management or strategic alliances to promote the

  10. Fear of Missing Out, online social networking and mobile phone addiction : a latent profile approach

    OpenAIRE

    Fúster, Héctor; Chamarro Lusar, Andrés; Oberst, Úrsula E.

    2017-01-01

    Background and aims: Fear of missing out (FoMO) is described as a pervasive unpleasant sensation that others might be having rewarding experiences of which one is not part, as well as the desire to stay continually connected with what others are doing. It has shown to play an important mediating role in predicting negative outcomes of heavy use of these networks. The aim of the present study was to analyze the different profiles found among users. Methods: 5,280 Spanish speaking social media ...

  11. Social and ethical analysis in health technology assessment.

    Science.gov (United States)

    Tantivess, Sripen

    2014-05-01

    This paper presents a review of the domestic and international literature on the assessment of the social and ethical implications of health technologies. It gives an overview of the key concepts, principles, and approaches that should be taken into account when conducting a social and ethical analysis within health technology assessment (HTA). Although there is growing consensus among healthcare experts that the social and ethical ramifications of a given technology should be examined before its adoption, the demand for this kind of analysis among policy-makers around the world, including in Thailand, has so far been lacking. Currently decision-makers mainly base technology adoption decisions using evidence on clinical effectiveness, value for money, and budget impact, while social and ethical aspects have been neglected. Despite the recognized importance of considering equity, justice, and social issues when making decisions regarding health resource allocation, the absence of internationally-accepted principles and methodologies, among other factors, hinders research in these areas. Given that developing internationally agreed standards takes time, it has been recommended that priority be given to defining processes that are justifiable, transparent, and contestable. A discussion of the current situation in Thailand concerning social and ethical analysis of health technologies is also presented.

  12. Social Status Profiles among First Grade Children

    Science.gov (United States)

    Acquah, Emmanuel O.; Palonen, Tuire; Lehtinen, Erno; Laine, Kaarina

    2014-01-01

    The focus of our study is social status among first graders. In particular, we will consider the relationship between acceptance and rejection, and how these are connected to three social behavioral traits: bullying, victimization, and social withdrawal. The data set is from peer nominations of 748 children from 49 classrooms in the southwest of…

  13. Study of the Psychological Profile in Diabetic Patient and its Relationship with their Social Support

    Directory of Open Access Journals (Sweden)

    Akbar Atadokht

    2013-06-01

    Full Text Available Background & objectives: Diabetes mellitus is a common metabolic disorder that has negative effect on physical function, psychological condition, interpersonal, family and social relationship and in general, on psychological well being. The aim of this study was to investigate of psychological profile in diabetic patients and it's relatioship with social support.   Methods: In this descriptive-correlational study, 120 diabetic patients have been selected among of those that systematically refered to Diabetes Clinic of Emam Khomeini Hospital in order to follow their therapeutic process in Ardabil . Data gathering was accomplished by two tests: SCL-90-R and Social Support Scale. Finally data were analyzed by Pearson correlation coefficient and T-test on SPSS-17 software and p-value less than 0.05 considered as significant.   Results: Results showed that 70% of diabetic patients had problems in somatic complaint and obsession, 62.5% in sensitivity, 72.5% in depression, 62.5% in anxiety, 55% in hostility, 67.5% in paranoid thoughts, 27.5% in phobia and 37.5% in psychosis. Correlations between social support with somatic complaint, obsession, sensitivity, depression, anxiety, hostility and paranoid thoughts were negatively significant. Family support associated significantly with all of the psychological variables but friend Support had no significant correlation with them.   Conclusion: The range of psychological problems experienced by diabetic patients is more extensive and these problems have significant relationship with social support. Thus, attention to different dimensions of psychological health is necessary and social support-based interventions can be more effective.

  14. Mission-profile-based stress analysis of bond-wires in SiC power modules

    DEFF Research Database (Denmark)

    Bahman, Amir Sajjad; Iannuzzo, Francesco; Blaabjerg, Frede

    2016-01-01

    This paper proposes a novel mission-profile-based reliability analysis approach for stress on bond wires in Silicon Carbide (SiC) MOSFET power modules using statistics and thermo-mechanical FEM analysis. In the proposed approach, both the operational and environmental thermal stresses are taken...... into account. The approach uses a two-dimension statistical analysis of the operating conditions in a real one-year mission profile sampled at time frames 5 minutes long. For every statistical bin corresponding to a given operating condition, the junction temperature evolution is estimated by a thermal network...... and the mechanical stress on bond wires is consequently extracted by finite-element simulations. In the final step, the considered mission profile is translated in a stress sequence to be used for Rainflow counting calculation and lifetime estimation....

  15. Exploratory social network analysis with Pajek. - 2nd ed.

    NARCIS (Netherlands)

    de Nooy, W.; Mrvar, A.; Batagelj, V.

    2011-01-01

    This is an extensively revised and expanded second edition of the successful textbook on social network analysis integrating theory, applications, and network analysis using Pajek. The main structural concepts and their applications in social research are introduced with exercises. Pajek software

  16. Functional Status, Quality of Life, and Costs Associated With Fibromyalgia Subgroups: A Latent Profile Analysis.

    Science.gov (United States)

    Luciano, Juan V; Forero, Carlos G; Cerdà-Lafont, Marta; Peñarrubia-María, María Teresa; Fernández-Vergel, Rita; Cuesta-Vargas, Antonio I; Ruíz, José M; Rozadilla-Sacanell, Antoni; Sirvent-Alierta, Elena; Santo-Panero, Pilar; García-Campayo, Javier; Serrano-Blanco, Antoni; Pérez-Aranda, Adrián; Rubio-Valera, María

    2016-10-01

    Although fibromyalgia syndrome (FM) is considered a heterogeneous condition, there is no generally accepted subgroup typology. We used hierarchical cluster analysis and latent profile analysis to replicate Giesecke's classification in Spanish FM patients. The second aim was to examine whether the subgroups differed in sociodemographic characteristics, functional status, quality of life, and in direct and indirect costs. A total of 160 FM patients completed the following measures for cluster derivation: the Center for Epidemiological Studies-Depression Scale, the Trait Anxiety Inventory, the Pain Catastrophizing Scale, and the Control over Pain subscale. Pain threshold was measured with a sphygmomanometer. In addition, the Fibromyalgia Impact Questionnaire-Revised, the EuroQoL-5D-3L, and the Client Service Receipt Inventory were administered for cluster validation. Two distinct clusters were identified using hierarchical cluster analysis ("hypersensitive" group, 69.8% and "functional" group, 30.2%). In contrast, the latent profile analysis goodness-of-fit indices supported the existence of 3 FM patient profiles: (1) a "functional" profile (28.1%) defined as moderate tenderness, distress, and pain catastrophizing; (2) a "dysfunctional" profile (45.6%) defined by elevated tenderness, distress, and pain catastrophizing; and (3) a "highly dysfunctional and distressed" profile (26.3%) characterized by elevated tenderness and extremely high distress and catastrophizing. We did not find significant differences in sociodemographic characteristics between the 2 clusters or among the 3 profiles. The functional profile was associated with less impairment, greater quality of life, and lower health care costs. We identified 3 distinct profiles which accounted for the heterogeneity of FM patients. Our findings might help to design tailored interventions for FM patients.

  17. ASSESSMENT OF BACTERIAL BIOSURFACTANT PRODUCTION THROUGH AXISYMMETRICAL DROP SHAPE-ANALYSIS BY PROFILE

    NARCIS (Netherlands)

    VANDERVEGT, W; VANDERMEI, HC; BUSSCHER, HJ

    Axisymmetric drop shape analysis by profile (ADSA-P) is a technique developed in colloid and surface science to simultaneously determine the contact angle and liquid surface tension from the profile of a droplet resting on a solid surface. In this paper is described how ADSA-P can be employed to

  18. Character profiles and life satisfaction.

    Science.gov (United States)

    Park, Hwanjin; Suh, Byung Seong; Kim, Won Sool; Lee, Hye-Kyung; Park, Seon-Cheol; Lee, Kounseok

    2015-04-01

    There is a surge of interest in subjective well-being (SWB), which concerns how individuals feel about their happiness. Life satisfaction tends to be influenced by individual psychological traits and external social factors. The aim of this study was to examine the relationship between individual character and SWB. Data from 3522 university students were analyzed in this study. Character profiles were evaluated using the Temperament and Character Inventory-Revised Short version (TCI-RS). Life satisfaction was assessed using the Satisfaction with Life Scale (SWLS). All statistical tests regarding the correlations between each character profile and life satisfaction were conducted using ANOVAs, t-tests, multiple linear regression models and correlation analyses. The creative (SCT) profile was associated with the highest levels of life satisfaction, whereas the depressive (sct) profile was associated with the lowest levels of life satisfaction. Additionally, high self-directedness, self-transcendence and cooperation were associated with high life satisfaction. The results of gender-adjusted multiple regression analysis showed that the effects of self-directedness were the strongest in the assessment of one's quality of life, followed by self-transcendence and cooperativeness, in that order. All of the three-character profiles were significantly correlated with one's quality of life, and the character profiles of TCI-RS explained 27.6% of life satisfaction in total. Among the three-character profiles, the self-directedness profile was most associated with life satisfaction. Our study was cross-sectional, and self-reported data from students at a single university were analyzed. The results of this study showed that, among the character profiles, the effects of self-directedness were the strongest for predicting life satisfaction. Copyright © 2014 Elsevier Inc. All rights reserved.

  19. Paternal Work Stress and Latent Profiles of Father-Infant Parenting Quality

    Science.gov (United States)

    Goodman, W. Benjamin; Crouter, Ann C.; Lanza, Stephanie T.; Cox, Martha J.; Vernon-Feagans, Lynne

    2011-01-01

    The current study used latent profile analysis (LPA) to examine the implications of fathers' experiences of work stress for paternal behaviors with infants across multiple dimensions of parenting in a sample of fathers living in nonmetropolitan communities (N = 492). LPA revealed five classes of fathers based on levels of social-affective…

  20. Microarray analysis of the gene expression profile in triethylene ...

    African Journals Online (AJOL)

    Microarray analysis of the gene expression profile in triethylene glycol dimethacrylate-treated human dental pulp cells. ... Conclusions: Our results suggest that TEGDMA can change the many functions of hDPCs through large changes in gene expression levels and complex interactions with different signaling pathways.

  1. Sense-making for intelligence analysis on social media data

    Science.gov (United States)

    Pritzkau, Albert

    2016-05-01

    Social networks, in particular online social networks as a subset, enable the analysis of social relationships which are represented by interaction, collaboration, or other sorts of influence between people. Any set of people and their internal social relationships can be modelled as a general social graph. These relationships are formed by exchanging emails, making phone calls, or carrying out a range of other activities that build up the network. This paper presents an overview of current approaches to utilizing social media as a ubiquitous sensor network in the context of national and global security. Exploitation of social media is usually an interdisciplinary endeavour, in which the relevant technologies and methods are identified and linked in order ultimately demonstrate selected applications. Effective and efficient intelligence is usually accomplished in a combined human and computer effort. Indeed, the intelligence process heavily depends on combining a human's flexibility, creativity, and cognitive ability with the bandwidth and processing power of today's computers. To improve the usability and accuracy of the intelligence analysis we will have to rely on data-processing tools at the level of natural language. Especially the collection and transformation of unstructured data into actionable, structured data requires scalable computational algorithms ranging from Artificial Intelligence, via Machine Learning, to Natural Language Processing (NLP). To support intelligence analysis on social media data, social media analytics is concerned with developing and evaluating computational tools and frameworks to collect, monitor, analyze, summarize, and visualize social media data. Analytics methods are employed to extract of significant patterns that might not be obvious. As a result, different data representations rendering distinct aspects of content and interactions serve as a means to adapt the focus of the intelligence analysis to specific information

  2. Profile analysis of neutron powder diffraction data at ISIS

    International Nuclear Information System (INIS)

    David, W.I.F.; Ibberson, R.M.; Matthewman, J.C.

    1992-05-01

    The aim of this manual is to document the current suite of time-of-flight neutron powder diffraction profile refinement programs available to ISIS users. Aspects of data collation and normalisation specific to the individual diffraction instruments are dealt with elsewhere. It will be assumed the user has produced a suitable data file (.DAT file) containing the profile data consisting of point by point values of the corrected diffraction profile across the pattern. The analysis of neutron powder diffraction data at ISIS by profile refinement utilises a suite of ''in-house'' written and supported programs based on the Cambridge Crystallography Subroutine Library (CCSL). A quick scan through the CCSL manual will give the user a general feel for the procedure to adopt in the use of the library and hence of the profile codes. The instructions documented in this handbook are complementary to those in the more specialist CCSL manual, and consequently go into no great detail regarding technical details of any of the CCSL routines. The programs may be run from each individual user account, for example [USER01], once the appropriate login procedure has been set-up by the instrument scientists. The programs are mostly activated by one line commands and only a basic knowledge of a VAX editor should be required; details can be found in the ''VAX primer'' available from Computer Support. (Author)

  3. Manifestations of personality in Online Social Networks: self-reported Facebook-related behaviors and observable profile information.

    Science.gov (United States)

    Gosling, Samuel D; Augustine, Adam A; Vazire, Simine; Holtzman, Nicholas; Gaddis, Sam

    2011-09-01

    Despite the enormous popularity of Online Social Networking sites (OSNs; e.g., Facebook and Myspace), little research in psychology has been done on them. Two studies examining how personality is reflected in OSNs revealed several connections between the Big Five personality traits and self-reported Facebook-related behaviors and observable profile information. For example, extraversion predicted not only frequency of Facebook usage (Study 1), but also engagement in the site, with extraverts (vs. introverts) showing traces of higher levels of Facebook activity (Study 2). As in offline contexts, extraverts seek out virtual social engagement, which leaves behind a behavioral residue in the form of friends lists and picture postings. Results suggest that, rather than escaping from or compensating for their offline personality, OSN users appear to extend their offline personalities into the domains of OSNs.

  4. What's on YOUR Facebook profile? Evaluation of an educational intervention to promote appropriate use of privacy settings by medical students on social networking sites.

    Science.gov (United States)

    Walton, Jennifer M; White, Jonathan; Ross, Shelley

    2015-01-01

    The rise of social media has led to growing concerns about the potential implications of 'unprofessional' postings by physicians and medical students on individuals, institutions, and the medical profession. Relevant and effective guidelines have been difficult to develop and enforce, and there is a need for students and physicians to consider how their online activities may be perceived in the context of their professional roles. The purpose of this project was to examine the Internet presence of a graduating Canadian medical school class by scanning students' public profiles on the social media site Facebook, incorporate this information into an educational activity addressing professionalism and social media, and evaluate the impact of this activity on student behavior. A systematic search for public Facebook profiles of each member of the class was conducted, and data were collected on the types of publicly visible material. These were presented as part of an educational session on social media and professionalism. One month later, the Facebook search was repeated. Of 152 students in the class, profiles were found for 121 (79.8%). The majority of students used appropriately restrictive privacy settings; however, a significant minority had publicly visible information, including comments, photographs, location, and status as a medical student. The educational innovation was well received with more than 90% of students agreeing that this topic was important and well addressed. A follow-up search found that many students had altered their privacy settings to make less information publicly available. A small but significant proportion of students share potentially unprofessional content on social media. An interactive educational intervention, which includes specific disclosure of how participants appear to others on social media, resulted in a significant change in student behavior.

  5. What's on YOUR Facebook profile? Evaluation of an educational intervention to promote appropriate use of privacy settings by medical students on social networking sites

    Directory of Open Access Journals (Sweden)

    Jennifer M. Walton

    2015-07-01

    Full Text Available Background: The rise of social media has led to growing concerns about the potential implications of ‘unprofessional’ postings by physicians and medical students on individuals, institutions, and the medical profession. Relevant and effective guidelines have been difficult to develop and enforce, and there is a need for students and physicians to consider how their online activities may be perceived in the context of their professional roles. The purpose of this project was to examine the Internet presence of a graduating Canadian medical school class by scanning students’ public profiles on the social media site Facebook, incorporate this information into an educational activity addressing professionalism and social media, and evaluate the impact of this activity on student behavior. Methods: A systematic search for public Facebook profiles of each member of the class was conducted, and data were collected on the types of publicly visible material. These were presented as part of an educational session on social media and professionalism. One month later, the Facebook search was repeated. Results: Of 152 students in the class, profiles were found for 121 (79.8%. The majority of students used appropriately restrictive privacy settings; however, a significant minority had publicly visible information, including comments, photographs, location, and status as a medical student. The educational innovation was well received with more than 90% of students agreeing that this topic was important and well addressed. A follow-up search found that many students had altered their privacy settings to make less information publicly available. Conclusions: A small but significant proportion of students share potentially unprofessional content on social media. An interactive educational intervention, which includes specific disclosure of how participants appear to others on social media, resulted in a significant change in student behavior.

  6. Assortment and the analysis of natural selection on social traits.

    Science.gov (United States)

    McDonald, Grant C; Farine, Damien R; Foster, Kevin R; Biernaskie, Jay M

    2017-11-01

    A central problem in evolutionary biology is to determine whether and how social interactions contribute to natural selection. A key method for phenotypic data is social selection analysis, in which fitness effects from social partners contribute to selection only when there is a correlation between the traits of individuals and their social partners (nonrandom phenotypic assortment). However, there are inconsistencies in the use of social selection that center around the measurement of phenotypic assortment. Here, we use data analysis and simulations to resolve these inconsistencies, showing that: (i) not all measures of assortment are suitable for social selection analysis; and (ii) the interpretation of assortment, and how to detect nonrandom assortment, will depend on the scale at which it is measured. We discuss links to kin selection theory and provide a practical guide for the social selection approach. © 2017 The Author(s). Evolution © 2017 The Society for the Study of Evolution.

  7. A systematic review protocol: social network analysis of tobacco use.

    Science.gov (United States)

    Maddox, Raglan; Davey, Rachel; Lovett, Ray; van der Sterren, Anke; Corbett, Joan; Cochrane, Tom

    2014-08-08

    Tobacco use is the single most preventable cause of death in the world. Evidence indicates that behaviours such as tobacco use can influence social networks, and that social network structures can influence behaviours. Social network analysis provides a set of analytic tools to undertake methodical analysis of social networks. We will undertake a systematic review to provide a comprehensive synthesis of the literature regarding social network analysis and tobacco use. The review will answer the following research questions: among participants who use tobacco, does social network structure/position influence tobacco use? Does tobacco use influence peer selection? Does peer selection influence tobacco use? We will follow the Preferred Reporting Items for Systemic Reviews and Meta-Analyses (PRISMA) guidelines and search the following databases for relevant articles: CINAHL (Cumulative Index to Nursing and Allied Health Literature); Informit Health Collection; PsycINFO; PubMed/MEDLINE; Scopus/Embase; Web of Science; and the Wiley Online Library. Keywords include tobacco; smoking; smokeless; cigarettes; cigar and 'social network' and reference lists of included articles will be hand searched. Studies will be included that provide descriptions of social network analysis of tobacco use.Qualitative, quantitative and mixed method data that meets the inclusion criteria for the review, including methodological rigour, credibility and quality standards, will be synthesized using narrative synthesis. Results will be presented using outcome statistics that address each of the research questions. This systematic review will provide a timely evidence base on the role of social network analysis of tobacco use, forming a basis for future research, policy and practice in this area. This systematic review will synthesise the evidence, supporting the hypothesis that social network structures can influence tobacco use. This will also include exploring the relationship between social

  8. Characteristic and analysis of structural elements of corporate social responsibility

    Directory of Open Access Journals (Sweden)

    J. S. Bilonog

    2015-04-01

    Full Text Available In this article attention is focused on social responsibility of business and on necessity to estimate its condition in Ukraine. Materials regarding elements and the principles of corporate social responsibility are structured. On this basis unification of quantitative elements of business social responsibility is offered according to which it is possible to carry out the analysis of the non­financial reporting. It is proposed to use not only quantitative techniques of data analysis but also refer to the qualitative ones. As a result of this, the analysis of social reports will be more productive and would minimize subjectivity of the researcher or representatives of the company which are responsible for presenting the information to the general public. The basic principles by which the companies can realize the strategy of corporate social responsibility are considered. Due to the empirical analysis of corporate reports expediency to use specified elements is proved. Reports of the companies in producing and non­productive sector are analyzed in more detail; features of displaying information on corporate social responsibility are defined. The attention to need of carrying out monitoring researches in the sphere of the corporate social reporting is updated.

  9. Egocentric Social Network Analysis of Pathological Gambling

    Science.gov (United States)

    Meisel, Matthew K.; Clifton, Allan D.; MacKillop, James; Miller, Joshua D.; Campbell, W. Keith; Goodie, Adam S.

    2012-01-01

    Aims To apply social network analysis (SNA) to investigate whether frequency and severity of gambling problems were associated with different network characteristics among friends, family, and co-workers. is an innovative way to look at relationships among individuals; the current study was the first to our knowledge to apply SNA to gambling behaviors. Design Egocentric social network analysis was used to formally characterize the relationships between social network characteristics and gambling pathology. Setting Laboratory-based questionnaire and interview administration. Participants Forty frequent gamblers (22 non-pathological gamblers, 18 pathological gamblers) were recruited from the community. Findings The SNA revealed significant social network compositional differences between the two groups: pathological gamblers (PGs) had more gamblers, smokers, and drinkers in their social networks than did nonpathological gamblers (NPGs). PGs had more individuals in their network with whom they personally gambled, smoked, and drank with than those with who were NPG. Network ties were closer to individuals in their networks who gambled, smoked, and drank more frequently. Associations between gambling severity and structural network characteristics were not significant. Conclusions Pathological gambling is associated with compositional but not structural differences in social networks. Pathological gamblers differ from non-pathological gamblers in the number of gamblers, smokers, and drinkers in their social networks. Homophily within the networks also indicates that gamblers tend to be closer with other gamblers. This homophily may serve to reinforce addictive behaviors, and may suggest avenues for future study or intervention. PMID:23072641

  10. Egocentric social network analysis of pathological gambling.

    Science.gov (United States)

    Meisel, Matthew K; Clifton, Allan D; Mackillop, James; Miller, Joshua D; Campbell, W Keith; Goodie, Adam S

    2013-03-01

    To apply social network analysis (SNA) to investigate whether frequency and severity of gambling problems were associated with different network characteristics among friends, family and co-workers is an innovative way to look at relationships among individuals; the current study was the first, to our knowledge, to apply SNA to gambling behaviors. Egocentric social network analysis was used to characterize formally the relationships between social network characteristics and gambling pathology. Laboratory-based questionnaire and interview administration. Forty frequent gamblers (22 non-pathological gamblers, 18 pathological gamblers) were recruited from the community. The SNA revealed significant social network compositional differences between the two groups: pathological gamblers (PGs) had more gamblers, smokers and drinkers in their social networks than did non-pathological gamblers (NPGs). PGs had more individuals in their network with whom they personally gambled, smoked and drank than those with who were NPG. Network ties were closer to individuals in their networks who gambled, smoked and drank more frequently. Associations between gambling severity and structural network characteristics were not significant. Pathological gambling is associated with compositional but not structural differences in social networks. Pathological gamblers differ from non-pathological gamblers in the number of gamblers, smokers and drinkers in their social networks. Homophily within the networks also indicates that gamblers tend to be closer with other gamblers. This homophily may serve to reinforce addictive behaviors, and may suggest avenues for future study or intervention. © 2012 The Authors, Addiction © 2012 Society for the Study of Addiction.

  11. Social Analysis in Development Interventions: Policy Artefact or Constructive Transformation?

    Directory of Open Access Journals (Sweden)

    SUSANNA PRICE

    2012-02-01

    Full Text Available Recently attention has focused on the role of social researchers in the processes of construction and transmission of knowledge about global poverty and its reduction. This paper examines some of the formative efforts by pioneering social researchers in development institutions to step into the realm of policy making to construct processes for project preparation and management through social analysis. Before 1970 development planners invoked ‘social' or ‘human' factors only as an excuse to explain away project failures - they designed and implemented development projects in the absence of any strategies or regulatory frameworks for managing their social impacts. Recognizing that project investments represent induced change and constitute a social process in themselves, pioneering social researchers constructed policies and procedures to introduce sociological content and method into the project cycle and so re-order social outcomes. Were such constructs merely policy artefacts? Even as the constructs helped to shift the statements of the development discourse towards ‘people oriented' poverty reduction, new modalities appeared which tested the limits of the agreed methods. Institutions may forget, neglect, contest or re-write the documents if in perceived conflict with the institutional ‘core business'. Yet those pioneering efforts created institutional space for, and understanding of, social analysis, with a measure of flow-on international recognition. Tracking social analysis in several international institutions and in a significant emerging economy, China, this paper highlights not only a history full of lessons to be learned where social analysis is not practiced systematically but also outlines some future challenges.

  12. Discriminant analysis of Social Work’s performance in licensure examination

    Directory of Open Access Journals (Sweden)

    Jonel R. Alonzo

    2017-12-01

    Full Text Available Many research studies have examined academic factors as predictors of success in licensure examination. The purpose of this descriptive discriminant analysis was to explore possible factors in passing social work licensure examination. Data were examined from academic records of 69 (37 passed and 32 failed Social Work graduates of the University of Mindanao who took Social Work Licensure Examination 2014. This can be used as a basis of Social Work program in planning and administering strategies to improve its national passing rates. Discriminant analysis was employed along five academic factors which are Human Behavior and Social Environment (HBSE, Social Work Programs and Policies (SWPP, Social Work Methods (SWM, Field Practice (FP and Grade Point Average (GPA. The analysis generated three significant predictors accounting for 76.22% of between group variability. The function had a hit ratio of 100%. Structure matrix revealed that three cluster subjects were identified as good factors of passing the social work licensure examination: HBSE, SWPP and SWM had a correlation value of 0.713, 0.768 and 0.840, respectively.

  13. Using Social Media Sentiment Analysis to Understand Audiences

    DEFF Research Database (Denmark)

    McGuire, Mark; Kampf, Constance Elizabeth

    2015-01-01

    approach for contextually understanding social media posts. The human interaction step in ad-hoc corpus analysis is central to this methodology as it provides a means to ask critical questions of the content curated through the ad-hoc corpus directly. Results of ad-hoc corpus analysis from this critical......Social media communication is changing the opportunities for technical communicators to really understand audiences when these audiences are active about issues on social media platforms. Through applying ad-hoc corpus building processes to create word lists relevant to specific organizational...... projects, technical communicators can listen to their external users and identify areas of importance with greater accuracy. While other methods of sentiment analysis look for a solution that leads to artificial intelligence in the program, this paper identifies the present needs of a human interaction...

  14. Assessing social isolation in motor neurone disease: a Rasch analysis of the MND Social Withdrawal Scale.

    Science.gov (United States)

    Gibbons, Chris J; Thornton, Everard W; Ealing, John; Shaw, Pamela J; Talbot, Kevin; Tennant, Alan; Young, Carolyn A

    2013-11-15

    Social withdrawal is described as the condition in which an individual experiences a desire to make social contact, but is unable to satisfy that desire. It is an important issue for patients with motor neurone disease who are likely to experience severe physical impairment. This study aims to reassess the psychometric and scaling properties of the MND Social Withdrawal Scale (MND-SWS) domains and examine the feasibility of a summary scale, by applying scale data to the Rasch model. The MND Social Withdrawal Scale was administered to 298 patients with a diagnosis of MND, alongside the Hospital Anxiety and Depression Scale. The factor structure of the MND Social Withdrawal Scale was assessed using confirmatory factor analysis. Model fit, category threshold analysis, differential item functioning (DIF), dimensionality and local dependency were evaluated. Factor analysis confirmed the suitability of the four-factor solution suggested by the original authors. Mokken scale analysis suggested the removal of item five. Rasch analysis removed a further three items; from the Community (one item) and Emotional (two items) withdrawal subscales. Following item reduction, each scale exhibited excellent fit to the Rasch model. A 14-item Summary scale was shown to fit the Rasch model after subtesting the items into three subtests corresponding to the Community, Family and Emotional subscales, indicating that items from these three subscales could be summed together to create a total measure for social withdrawal. Removal of four items from the Social Withdrawal Scale led to a four factor solution with a 14-item hierarchical Summary scale that were all unidimensional, free for DIF and well fitted to the Rasch model. The scale is reliable and allows clinicians and researchers to measure social withdrawal in MND along a unidimensional construct. © 2013. Published by Elsevier B.V. All rights reserved.

  15. Sensitivity analysis for contagion effects in social networks

    Science.gov (United States)

    VanderWeele, Tyler J.

    2014-01-01

    Analyses of social network data have suggested that obesity, smoking, happiness and loneliness all travel through social networks. Individuals exert “contagion effects” on one another through social ties and association. These analyses have come under critique because of the possibility that homophily from unmeasured factors may explain these statistical associations and because similar findings can be obtained when the same methodology is applied to height, acne and head-aches, for which the conclusion of contagion effects seems somewhat less plausible. We use sensitivity analysis techniques to assess the extent to which supposed contagion effects for obesity, smoking, happiness and loneliness might be explained away by homophily or confounding and the extent to which the critique using analysis of data on height, acne and head-aches is relevant. Sensitivity analyses suggest that contagion effects for obesity and smoking cessation are reasonably robust to possible latent homophily or environmental confounding; those for happiness and loneliness are somewhat less so. Supposed effects for height, acne and head-aches are all easily explained away by latent homophily and confounding. The methodology that has been employed in past studies for contagion effects in social networks, when used in conjunction with sensitivity analysis, may prove useful in establishing social influence for various behaviors and states. The sensitivity analysis approach can be used to address the critique of latent homophily as a possible explanation of associations interpreted as contagion effects. PMID:25580037

  16. An experimental manipulation of social comparison in social anxiety.

    Science.gov (United States)

    Mitchell, Melissa A; Schmidt, Norman B

    2014-01-01

    Negative self-appraisal is thought to maintain social anxiety particularly when comparing oneself to others. Work on social comparison suggests that gender may moderate the effects of social comparison in social anxiety. Self-appraisals of the desirability of one's personality may be more important to women, whereas self-appraisal of signs of anxiety may be more important to men. Within each gender, those with high social anxiety are expected to report more negative self-appraisal when comparing themselves to someone else described as high achieving. This study is the first we are aware of that examined gender-based interactive effects after a social comparison manipulation. Participants read a bogus profile of a fellow student's adjustment to college. They were randomly assigned to read a profile suggesting that the fellow student was "high achieving" or more normative in his/her achievements. When comparing to a "high achieving" individual, men with high social anxiety reported the most negative self-appraisals of their signs of anxiety. In addition, greater social anxiety was associated with a poorer self-appraisal of personality only among men. The implications of the findings for conceptualizing the role of social comparison in social anxiety are discussed.

  17. How could Theory of Mind contribute to the differentiation of social adjustment profiles of children with externalizing behavior disorders and children with intellectual disabilities?

    Science.gov (United States)

    Nader-Grosbois, Nathalie; Houssa, Marine; Mazzone, Stéphanie

    2013-09-01

    This study compared Theory of Mind (ToM) emotion and belief abilities in 43 children with externalized behavior (EB) disorders presenting low intelligence, 40 children with intellectual disabilities (ID) and 33 typically developing (TD) preschoolers (as a control group), matched for developmental age. The links between their ToM abilities, their level in seven self-regulation strategies as displayed in social problem-solving tasks and their social adjustment profiles (assessed by the Social Competence and Behavior Evaluation, completed by their teachers) were examined. Children with EB presented lower comprehension of causes of emotions and lower self-regulation of joint attention and of attention than children with ID and TD children. In comparison with TD children, lower social adjustment was observed in nearly all dimensions of profiles in both atypical groups. Specifically, children with EB were significantly angrier than children with ID. Although variable patterns of positive correlations were obtained in atypical groups between self-regulation strategies and ToM abilities, the most numerous positive links were obtained in the group with EB. Regression analyses showed that developmental age predicted ToM abilities and certain dimensions of social adjustment profiles in atypical groups. In the ID group, ToM emotions predicted general adaptation, affective adaptation, interactions with peers and with adults and low internalizing problems. In the EB group, general adaptation was predicted by ToM emotions and self-regulation, interactions with peers by ToM beliefs, and a low level of externalizing problems by ToM emotions. Some implications for intervention and perspectives for research are suggested. Copyright © 2013 Elsevier Ltd. All rights reserved.

  18. Social Signals, their function, and automatic analysis: A survey

    NARCIS (Netherlands)

    Vinciarelli, Alessandro; Pantic, Maja; Bourlard, Hervé; Pentland, Alex

    2008-01-01

    Social Signal Processing (SSP) aims at the analysis of social behaviour in both Human-Human and Human-Computer interactions. SSP revolves around automatic sensing and interpretation of social signals, complex aggregates of nonverbal behaviours through which individuals express their attitudes

  19. Nuevos modelos de comunicación, perfiles y tendencias en las redes sociales New Models of Communication, Profiles and Trends in Social Networks

    Directory of Open Access Journals (Sweden)

    Jesús Miguel Flores Vivar

    2009-10-01

    Full Text Available Las redes sociales en línea se han convertido en el estandarte de la Web 2.0, entorno que también aglutina a los blogs, wikis y chats. Existe una fina división entre una red social, un blog y un wiki. Hablar de redes sociales es referirnos al siguiente estadio de Internet, como en su momento fueron los blogs. Se han constituido en un fenómeno de masas cada vez más importante tanto así que ya algunas están integrando plataformas de blogs y wikis en una sola interfaz. Pero, ¿qué nuevas formas de comunicación y de negocio subyacen en las redes?, ¿qué perfiles profesionales se necesitan para esta nueva audiencia?, ¿deben los medios crear redes o adaptarse a los nuevos entornos de donde emerge un nuevo periodismo basado en la participación? El presente artículo intenta responder a estas y otras variables. Social networks have become the banner of Web 2.0, which also hosts blogs, wikis and chats. There is a slight dividing line between a social network, a blog and a wiki. Talking about social networks means referring to the next stage of the Internet, as talking about blogs once did. Internet social networks have become an increasingly important phenomenon because some platforms are integrating blogs and wikis on a single interface. But we could ask what new types of communication and business lie beneath these networks; what professional profiles are needed for this new audience. Should media create the networks, or just adapt to the new environments, whence a new journalism based on participation emerges? This paper tries to answer these and other questions.

  20. Social-demographic profile and dose evaluation of the radiopharmaceutical facility workers

    Energy Technology Data Exchange (ETDEWEB)

    Sanches, Matias P.; Carneiro, Janete C. Gaburo; Sordi, Gian Maria A.A. [Instituto de Pesquisas Energeticas e Nucleares (IPEN/CNEN-SP), Sao Paulo, SP (Brazil)], e-mail: msanches@ipen.br

    2009-07-01

    The main aims of this work are to identify the social-demographic profile of the workers based on stratification variables such as gender, age, and tasks performed by the workers, and to evaluate the annual collective doses of workers with potential risk of ionizing radiation exposure at the workplace during the years 2004 to 2008. In this context, the knowledge of the workforce composition in the facility responsible for the radioisotope production and its distribution was used. The individual monitoring programme has been carried out by individual dosimeters, TLDs, and internal contamination monitoring (in vivo method). The reported doses, in the period studied, suggest that the external exposure was the main source of occupational exposure in radioisotope production and distribution areas. The internal exposure was not included in the doses estimated, because it was negligible. This study has an important exploratory character, in order to analyze possible correlations related to adverse health effects, aiming to provide directions for occupational epidemiology research. (author)

  1. Social-demographic profile and dose evaluation of the radiopharmaceutical facility workers

    International Nuclear Information System (INIS)

    Sanches, Matias P.; Carneiro, Janete C. Gaburo; Sordi, Gian Maria A.A.

    2009-01-01

    The main aims of this work are to identify the social-demographic profile of the workers based on stratification variables such as gender, age, and tasks performed by the workers, and to evaluate the annual collective doses of workers with potential risk of ionizing radiation exposure at the workplace during the years 2004 to 2008. In this context, the knowledge of the workforce composition in the facility responsible for the radioisotope production and its distribution was used. The individual monitoring programme has been carried out by individual dosimeters, TLDs, and internal contamination monitoring (in vivo method). The reported doses, in the period studied, suggest that the external exposure was the main source of occupational exposure in radioisotope production and distribution areas. The internal exposure was not included in the doses estimated, because it was negligible. This study has an important exploratory character, in order to analyze possible correlations related to adverse health effects, aiming to provide directions for occupational epidemiology research. (author)

  2. Social phenotype extended to communities: expanded multilevel social selection analysis reveals fitness consequences of interspecific interactions.

    Science.gov (United States)

    Campobello, Daniela; Hare, James F; Sarà, Maurizio

    2015-04-01

    In social species, fitness consequences are associated with both individual and social phenotypes. Social selection analysis has quantified the contribution of conspecific social traits to individual fitness. There has been no attempt, however, to apply a social selection approach to quantify the fitness implications of heterospecific social phenotypes. Here, we propose a novel social selection based approach integrating the role of all social interactions at the community level. We extended multilevel selection analysis by including a term accounting for the group phenotype of heterospecifics. We analyzed nest activity as a model social trait common to two species, the lesser kestrel (Falco naumanni) and jackdaw (Corvus monedula), nesting in either single- or mixed-species colonies. By recording reproductive outcome as a measure of relative fitness, our results reveal an asymmetric system wherein only jackdaw breeding performance was affected by the activity phenotypes of both conspecific and heterospecific neighbors. Our model incorporating heterospecific social phenotypes is applicable to animal communities where interacting species share a common social trait, thus allowing an assessment of the selection pressure imposed by interspecific interactions in nature. Finally, we discuss the potential role of ecological limitations accounting for random or preferential assortments among interspecific social phenotypes, and the implications of such processes to community evolution. © 2015 The Author(s).

  3. Social and philosophical analysis of brand clothes : the Ukrainian context

    Directory of Open Access Journals (Sweden)

    H. V. Skalatskaya

    2016-06-01

    Full Text Available The purpose of the article is to consider the prospects of social and philosophical analysis of the product (clothes of fashion brand. In social and philosophical analysis of brand clothes, its fashion shows there is a range of discursive questions: the use and the definition of the concepts «designer» and «brand»; thematic focus of the brand (fabrics, colors, prints, shapes its semantics; format of representation of fashion collection in dependence; and a number of other structural elements. In the analysis of fashion trends or seasonal collections the concepts designer or brand are used. The concept «brand» contains an economic component, certain calculations, and intangible assets (goodwill; design work is subject to market needs and the interests of consumers (for analysis of the individual designer the biographical method is used. Theoretical analysis of fashion cannot be made apart from empirical material. A performative approach of K. Wolfe can be the methodology of the social and philosophical research of fashion show. The advantages of this method of the research are to determine fashion as performative space, staging ideas of the designer in the fashion show and making clothes. Implementation of performative approach allowed considering thematic focus of the brand of clothes and format of its representation in seasonal fashion shows on the example of Ukrainian brand «Domanoff». Social and philosophical analysis of brand clothes can be divided into the following main components, excluding aesthetic and economic aspects: the use of the concepts designer and brand (a set of aesthetic, economic, social and subjective components and design`s view; review of the semantics of clothes and staging (by providing clothes in the form of seasonal fashion shows of collections. For complex social and socio­philosophical analysis of fashion brand it necessary to have: the press release (description, designer`s interview (disclosure of early

  4. On the analysis of line profile variations: A statistical approach

    International Nuclear Information System (INIS)

    McCandliss, S.R.

    1988-01-01

    This study is concerned with the empirical characterization of the line profile variations (LPV), which occur in many of and Wolf-Rayet stars. The goal of the analysis is to gain insight into the physical mechanisms producing the variations. The analytic approach uses a statistical method to quantify the significance of the LPV and to identify those regions in the line profile which are undergoing statistically significant variations. Line positions and flux variations are then measured and subject to temporal and correlative analysis. Previous studies of LPV have for the most part been restricted to observations of a single line. Important information concerning the range and amplitude of the physical mechanisms involved can be obtained by simultaneously observing spectral features formed over a range of depths in the extended mass losing atmospheres of massive, luminous stars. Time series of a Wolf-Rayet and two of stars with nearly complete spectral coverage from 3940 angstrom to 6610 angstrom and with spectral resolution of R = 10,000 are analyzed here. These three stars exhibit a wide range of both spectral and temporal line profile variations. The HeII Pickering lines of HD 191765 show a monotonic increase in the peak rms variation amplitude with lines formed at progressively larger radii in the Wolf-Rayet star wind. Two times scales of variation have been identified in this star: a less than one day variation associated with small scale flickering in the peaks of the line profiles and a greater than one day variation associated with large scale asymmetric changes in the overall line profile shapes. However, no convincing period phenomena are evident at those periods which are well sampled in this time series

  5. Stokes profile analysis and vector magnetic fields. I. Inversion of photospheric lines

    International Nuclear Information System (INIS)

    Skumanich, A.; Lites, B.W.

    1987-01-01

    Improvements are proposed for the Auer et al. (1977) method for the analytic inversion of Stokes profiles via nonlinear least squares. The introduction of additional physics into the Mueller absorption matrix (by including damping wings and magnetooptical birefringence, and by decoupling the intensity profile from the three-vector polarization profile in the analysis) is found to result in a more robust inversion method, providing more reliable and accurate estimates of sunspot vector magnetic fields without significant loss of economy. The method is applied to sunspot observations obtained with the High Altitude Observatory polarimeter. 29 references

  6. Parent insights into atypicalities of social approach behaviour in Williams syndrome.

    Science.gov (United States)

    Lough, E; Rodgers, J; Janes, E; Little, K; Riby, D M

    2016-11-01

    Individuals with Williams syndrome have been reported to show high levels of social interest and a desire to interact with others irrespective of their familiarity. This high social motivation, when combined with reduced intellectual capacity and a profile of atypical social behaviour, is important in terms of social vulnerability of individuals with the disorder. Therefore, social approach to unfamiliar people and the role of this behaviour within the Williams syndrome (WS) social phenotype warrant further research to inform social skills' intervention design. The current study used parent interviews (n = 21) to probe aspects of social behaviour and interactions with strangers, as well as the impact of such behaviour on the family. Using thematic analysis, it was possible to explore themes that emerged from the interviews, offering qualitatively rich insight into the variability of social approach behaviour in WS. Thematic analysis confirmed a significant desire to interact with strangers as well as a lack of awareness of appropriate social boundaries. However, parental reports about their child's social approach behaviour varied considerably. The within-syndrome variability of the sample was emphasised in parental reports of their child's personality characteristics (e.g. levels of impulsiveness), as well as the level of parental supervision employed. These in-depth parent insights can help target the needs of individuals with WS and emphasise that an individual approach to intervention will be essential because of the heterogeneity of the WS social profile. © 2016 MENCAP and International Association of the Scientific Study of Intellectual and Developmental Disabilities and John Wiley & Sons Ltd.

  7. Growth curve analysis for plasma profiles using smoothing splines. Final report, January 1993--January 1995

    International Nuclear Information System (INIS)

    Imre, K.

    1995-07-01

    In this project, we parameterize the shape and magnitude of the temperature and density profiles on JET and the temperature profiles on TFTR. The key control variables for the profiles were tabulated and the response functions were estimated. A sophisticated statistical analysis code was developed to fit the plasma profiles. Our analysis indicate that the JET density shape depends primarily on bar n/B t for Ohmic heating, bar n for L-mode and I p for H-mode. The temperature profiles for JET are mainly determined by q 95 for the case of Ohmic heating, and by B t and P/bar n for the L-mode. For the H-mode the shape depends on the type of auxiliary heating, Z eff , N bar n, q 95 , and P

  8. The Social Profiles of Occupational Therapy Students’ Educational Groups

    Directory of Open Access Journals (Sweden)

    Tore Bonsaksen

    2015-07-01

    Full Text Available Background: Today’s occupational therapy models emphasize that a person’s choice of, satisfaction with, and performance in occupations are markedly influenced by the context. For students undergoing a group-based study module, the group is an important context factor. Until recently, there has been a lack of instruments available for the assessment of functioning and participation at the group level. This mixed methods pilot study aimed to examine occupational therapy students’ perceptions of their group’s level of functioning and course of development during one study module. Methods: The students’ perceptions of their group’s functioning were assessed in two ways: by examining their scores on the Social Profile (SP, a new instrument, and by examining their qualitative descriptions of the groups and how the groups developed over time. The sample consisted of four occupational therapy students. Results: Two students perceived their group functioning as stable over time. One student’s scores indicated an increase in group functioning over time, whereas one student’s showed a decrease. The interview statements showed varying degrees of connectedness with the SP items. Conclusions: Descriptions of stability and change corresponded very well with the students’ SP trajectories, indicating content validity of the assessment as a whole.

  9. In Vivo Neurometabolic Profiling to Characterize the Effects of Social Isolation and Ketamine-Induced NMDA Antagonism: A Rodent Study at 7.0 T

    Science.gov (United States)

    Napolitano, Antonio

    2014-01-01

    Continued efforts are undertaken to develop animal models of schizophrenia with translational value in the quest for much needed novel drugs. Existing models mimic specific neurobiological aspects of schizophrenia, but not its full complexity. Here, we used proton magnetic resonance spectroscopy (1H-MRS) to assess the metabolic profile in the prefrontal cortex (PFC) of two established models, rearing in social isolation and acute N-methyl-d-aspartate receptor (NMDA-R) antagonism and their combination. Rats reared in social isolation or group housed underwent ​1H-MRS at baseline and dynamically after ketamine challenge (25mg/kg, intraperitoneal) under isoflurane anesthe sia. A 7 T animal scanner was used to perform spectra acquisition from the anterior cingulate/medial PFC. LCModel was used for metabolite quantification and effects of rearing and ketamine injection were analyzed. Social isolation did not lead to significant differences in the metabolic profile of the PFC at baseline. Ketamine induced a significant increase in glutamine in both groups with significance specifically reached by the group-housed animals alone. Only rats reared in social isolation showed a significant 11% γ-aminobutyric acid (GABA) decrease. This study provides preliminary evidence that social interactions in early life predict the glutamatergic and GABAergic response to acute NMDA-R blockade. The similarity between the prefrontal GABA reduction in patients with schizophrenia and in rats reared as social isolates after challenge with ketamine suggests good potential translational value of this combined animal model for drug development. PMID:23671195

  10. In vivo neurometabolic profiling to characterize the effects of social isolation and ketamine-induced NMDA antagonism: a rodent study at 7.0 T.

    Science.gov (United States)

    Napolitano, Antonio; Shah, Khalid; Schubert, Mirjam I; Porkess, Veronica; Fone, Kevin C F; Auer, Dorothee P

    2014-05-01

    Continued efforts are undertaken to develop animal models of schizophrenia with translational value in the quest for much needed novel drugs. Existing models mimic specific neurobiological aspects of schizophrenia, but not its full complexity. Here, we used proton magnetic resonance spectroscopy ((1)H-MRS) to assess the metabolic profile in the prefrontal cortex (PFC) of two established models, rearing in social isolation and acute N-methyl-D-aspartate receptor (NMDA-R) antagonism and their combination. Rats reared in social isolation or group housed underwent (1)H-MRS at baseline and dynamically after ketamine challenge (25mg/kg, intraperitoneal) under isoflurane anesthesia. A 7 T animal scanner was used to perform spectra acquisition from the anterior cingulate/medial PFC. LCModel was used for metabolite quantification and effects of rearing and ketamine injection were analyzed. Social isolation did not lead to significant differences in the metabolic profile of the PFC at baseline. Ketamine induced a significant increase in glutamine in both groups with significance specifically reached by the group-housed animals alone. Only rats reared in social isolation showed a significant 11% γ-aminobutyric acid (GABA) decrease. This study provides preliminary evidence that social interactions in early life predict the glutamatergic and GABAergic response to acute NMDA-R blockade. The similarity between the prefrontal GABA reduction in patients with schizophrenia and in rats reared as social isolates after challenge with ketamine suggests good potential translational value of this combined animal model for drug development.

  11. Manifestations of Personality in Online Social Networks: Self-Reported Facebook-Related Behaviors and Observable Profile Information

    Science.gov (United States)

    Augustine, Adam A; Vazire, Simine; Holtzman, Nicholas; Gaddis, Sam

    2011-01-01

    Abstract Despite the enormous popularity of Online Social Networking sites (OSNs; e.g., Facebook and Myspace), little research in psychology has been done on them. Two studies examining how personality is reflected in OSNs revealed several connections between the Big Five personality traits and self-reported Facebook-related behaviors and observable profile information. For example, extraversion predicted not only frequency of Facebook usage (Study 1), but also engagement in the site, with extraverts (vs. introverts) showing traces of higher levels of Facebook activity (Study 2). As in offline contexts, extraverts seek out virtual social engagement, which leaves behind a behavioral residue in the form of friends lists and picture postings. Results suggest that, rather than escaping from or compensating for their offline personality, OSN users appear to extend their offline personalities into the domains of OSNs. PMID:21254929

  12. Sentiment analysis on tweets for social events

    DEFF Research Database (Denmark)

    Zhou, Xujuan; Tao, Xiaohui; Yong, Jianming

    2013-01-01

    Sentiment analysis or opinion mining is an important type of text analysis that aims to support decision making by extracting and analyzing opinion oriented text, identifying positive and negative opinions, and measuring how positively or negatively an entity (i.e., people, organization, event......, location, product, topic, etc.) is regarded. As more and more users express their political and religious views on Twitter, tweets become valuable sources of people's opinions. Tweets data can be efficiently used to infer people's opinions for marketing or social studies. This paper proposes a Tweets...... Sentiment Analysis Model (TSAM) that can spot the societal interest and general people's opinions in regard to a social event. In this paper, Australian federal election 2010 event was taken as an example for sentiment analysis experiments. We are primarily interested in the sentiment of the specific...

  13. Who Pays to Play Freemium Games? The Profiles and Motivations of Players Who Make Purchases Within Social Casino Games.

    Science.gov (United States)

    Gainsbury, Sally M; King, Daniel L; Russell, Alex M T; Delfabbro, Paul

    2016-06-01

    Background and aims Social casino games (SCGs) feature gambling themes and are typically free to download and play with optional in-game purchases. Although few players spend money, this is sufficient to make them profitable for game developers. Little is known about the profile and motivations of paying players as compared to non-paying players. Methods This study compared the characteristics of 521 paying and non-paying Australian social casino game players who completed an online survey. Results Paying players were more likely to be younger, male, speak a non-English language, and have a university education than non-payers. Paying players were more likely to be more highly involved in SCG in terms of play frequency and engagement with games and emphasized social interaction more strongly as a motivation for playing. A cluster analysis revealed distinct subgroups of paying players; these included more frequent moderate spenders who made purchases to avoid waiting for credits and to give gifts to friends as well as less frequent high spenders who made purchases to increase the entertainment value of the game. Discussion These findings suggest that paying players have some fundamental differences from non-paying players and high spenders are trying to maximize their enjoyment, while non-spenders are content with the game content they access. Conclusions Given the structural similarities between SCG and online gambling, understanding subgroups of players may have broader implications, including identifying characteristics of gamers who may also engage in gambling and players who may develop problems related to excessive online gaming.

  14. Analysis of Proximate and Protein Profile of Kefir from Fermented Goat and Cow Milk

    Directory of Open Access Journals (Sweden)

    Erwin Hidayat

    2015-09-01

    Full Text Available This research aims to analyze the characteristics of proximate and protein profile in kefir from fermented goat milk and cow milk with different concentration of kefir grains. The research design was true experimental with Completely Randomized Design (CRD of 3 repetitions. The research procedures consisted of kefir production, proximate analysis and protein profile characterization. Proximate assay result was analyzed by using LSD, whereas the protein profile was analyzed by descriptive qualitative method. Based on the analysis of kefir proximate levels, the kefir grain (5% showed the highest proximate level of both kefirs from goat milk and cow milk. The analysis of protein profile of cow milk kefir showed 75 kDa of protein ribbon, while the goat milk kefir showed 48 kDa, 60 kDa and 75 kDa. Therefore it can be concluded that the proximate level of goat and cow milk kefir with different concentration of kefir grains showed significant differences in the nutrition content as well as its protein profiles.Tujuan dari penelitian ini adalah menganalisis karakteristik proksimat dan profil protein pada kefir hasil fermentasi susu kambing dan susu sapi dengan konsentrasi biji kefir yang berbeda-beda. Penelitian ini adalah eksperimen murni, dengan Rancangan Acak Lengkap (RAL 3 kali ulangan. Prosedur penelitian meliputi pembuatan kefir, analisis proksimat dan profil protein. Data hasil proksimat dianalisi uji BNT, sedangkan profil protein dianalisis deskriptif kualitatif. Berdasarkan analisis kadar proksimat kefir, kefir grains 5% menunjukan kadar proksimat paling tinggi baik pada kefir susu kambing dan susu sapi. Sedangkan analisis profil protein kefir susu sapi menunjukan pita protein 75 kDa, pada kefir susu kambing yaitu 48 kDa, 60 kDa dan 75 kDa. Simpulan dari penelitian ini bahwa kadar proksimat kefir susu kambing dan susu sapi dengan konsentrasi kefir grains yang berbeda menunjukan perbedaan kandungan yang berbeda secara signifikan dengan

  15. Chinese social media analysis for disease surveillance

    Energy Technology Data Exchange (ETDEWEB)

    Cui, Xiaohui [Wuhan Univ., Wuhan (China); Yang, Nanhai [Wuhan Univ., Wuhan (China); Wang, Zhibo [Wuhan Univ., Wuhan (China); East China Institute of Technology, Nanchang (China); Hu, Cheng [Wuhan Univ., Wuhan (China); Zhu, Weiping [Wuhan Univ., Wuhan (China); Li, Hanjie [Wuhan Univ., Wuhan (China); Ji, Yujie [Wuhan Univ., Wuhan (China); Liu, Cheng [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

    2015-09-11

    Here, it is reported that there are hundreds of thou- sands of deaths caused by seasonal flu all around the world every year. More other diseases such as chickenpox, malaria, etc. are also serious threats to people’s physical and mental health. There are 250,000–500,000 deaths every year around the world. Therefore proper techniques for disease surveillance are highly demanded. Recently, social media analysis is regarded as an efficient way to achieve this goal, which is feasible since growing number of people have been posting their health information on social media such as blogs, personal websites, etc. Previous work on social media analysis mainly focused on English materials but hardly considered Chinese materials, which hinders the application of such technique to Chinese peo- ple. In this paper, we proposed a new method of Chinese social media analysis for disease surveillance. More specifically, we compared different kinds of methods in the process of classification and then proposed a new way to process Chinese text data. The Chinese Sina micro-blog data collected from September to December 2013 are used to validate the effectiveness of the proposed method. The results show that a high classification precision of 87.49 % in average has been obtained. Comparing with the data from the authority, Chinese National Influenza Center, we can predict the outbreak time of flu 5 days earlier.

  16. Tracking the cognitive, social and neuroanatomical profile in early neurodegeneration: Type III Cockayne syndrome

    Directory of Open Access Journals (Sweden)

    Sandra eBaez

    2013-11-01

    Full Text Available Cockayne syndrome (CS is an autosomal recessive disease associated with premature aging, progressive multiorgan degeneration and nervous system abnormalities including cerebral and cerebellar atrophy, brain calcifications and white matter abnormalities. Although several clinical descriptions of CS patients have reported developmental delay and cognitive impairment with relative preservation of social skills, no previous studies have carried out a comprehensive neuropsychological and social cognition assessment. Furthermore, no previous research in individuals with CS has examined the relationship between brain atrophy and performance on neuropsychological and social cognition tests. This study describes the case of an atypical late-onset type III CS patient who exceeds the mean life expectancy of individuals with this pathology. The patient and a group of healthy controls underwent a comprehensive assessment that included multiple neuropsychological and social cognition (emotion recognition, theory of mind and empathy tasks. In addition, we compared the pattern of atrophy in the patient to controls and to its concordance with ERCC8 gene expression in a healthy brain. The results showed memory, language and executive deficits that contrast with the relative preservation of social cognition skills. The cognitive profile of the patient was consistent with his pattern of global cerebral and cerebellar loss of gray matter volume (frontal structures, bilateral cerebellum, basal ganglia, temporal lobe, and occipito-temporal/occipito-parietal regions, which in turn was anatomically consistent with the ERCC8 gene expression level in a healthy donor’s brain. The study of exceptional cases, such as the one described here, is fundamental to elucidating the processes that affect the brain in premature aging diseases, and such studies provide an important source of information for understanding the problems associated with normal and pathological aging.

  17. Tracking the Cognitive, Social, and Neuroanatomical Profile in Early Neurodegeneration: Type III Cockayne Syndrome

    Science.gov (United States)

    Baez, Sandra; Couto, Blas; Herrera, Eduar; Bocanegra, Yamile; Trujillo-Orrego, Natalia; Madrigal-Zapata, Lucia; Cardona, Juan Felipe; Manes, Facundo; Ibanez, Agustin; Villegas, Andres

    2013-01-01

    Cockayne syndrome (CS) is an autosomal recessive disease associated with premature aging, progressive multiorgan degeneration, and nervous system abnormalities including cerebral and cerebellar atrophy, brain calcifications, and white matter abnormalities. Although several clinical descriptions of CS patients have reported developmental delay and cognitive impairment with relative preservation of social skills, no previous studies have carried out a comprehensive neuropsychological and social cognition assessment. Furthermore, no previous research in individuals with CS has examined the relationship between brain atrophy and performance on neuropsychological and social cognition tests. This study describes the case of an atypical late-onset type III CS patient who exceeds the mean life expectancy of individuals with this pathology. The patient and a group of healthy controls underwent a comprehensive assessment that included multiple neuropsychological and social cognition (emotion recognition, theory of mind, and empathy) tasks. In addition, we compared the pattern of atrophy in the patient to controls and to its concordance with ERCC8 gene expression in a healthy brain. The results showed memory, language, and executive deficits that contrast with the relative preservation of social cognition skills. The cognitive profile of the patient was consistent with his pattern of global cerebral and cerebellar loss of gray matter volume (frontal structures, bilateral cerebellum, basal ganglia, temporal lobe, and occipito-temporal/occipito-parietal regions), which in turn was anatomically consistent with the ERCC8 gene expression level in a healthy donor’s brain. The study of exceptional cases, such as the one described here, is fundamental to elucidating the processes that affect the brain in premature aging diseases, and such studies provide an important source of information for understanding the problems associated with normal and pathological aging. PMID:24324434

  18. Big data analysis framework for healthcare and social sectors in Korea.

    Science.gov (United States)

    Song, Tae-Min; Ryu, Seewon

    2015-01-01

    We reviewed applications of big data analysis of healthcare and social services in developed countries, and subsequently devised a framework for such an analysis in Korea. We reviewed the status of implementing big data analysis of health care and social services in developed countries, and strategies used by the Ministry of Health and Welfare of Korea (Government 3.0). We formulated a conceptual framework of big data in the healthcare and social service sectors at the national level. As a specific case, we designed a process and method of social big data analysis on suicide buzz. Developed countries (e.g., the United States, the UK, Singapore, Australia, and even OECD and EU) are emphasizing the potential of big data, and using it as a tool to solve their long-standing problems. Big data strategies for the healthcare and social service sectors were formulated based on an ICT-based policy of current government and the strategic goals of the Ministry of Health and Welfare. We suggest a framework of big data analysis in the healthcare and welfare service sectors separately and assigned them tentative names: 'health risk analysis center' and 'integrated social welfare service network'. A framework of social big data analysis is presented by applying it to the prevention and proactive detection of suicide in Korea. There are some concerns with the utilization of big data in the healthcare and social welfare sectors. Thus, research on these issues must be conducted so that sophisticated and practical solutions can be reached.

  19. Peranan Biaya Sosial dalam Meningkatkan Kinerja Sosial dan Kinerja Keuangan Perusahaan High Profile dan Low Profile

    Directory of Open Access Journals (Sweden)

    Henny Hendarti

    2006-09-01

    Full Text Available Corporate social report had been done on company annual report in Indonesia. Workers theme was the most interesting theme amongs others. The condition happened consistently on high-profile dan low-profile industrial groups. But, corporate social report in Indonesia was still low. It was assumed because the company did not taking advantage to the annual report as a communication media between company and stakeholders. Possibly, it was because the company only used annual report as a report for the stakeholders and debt holders or as information for future investors. Another factor causing the low number was because the company was only done small social activities.

  20. Schizosaccharomyces pombe Polysome Profile Analysis and RNA Purification.

    Science.gov (United States)

    Wolf, Dieter A; Bähler, Jürg; Wise, Jo Ann

    2017-04-03

    Polysome profile analysis is widely used by investigators studying the mechanism and regulation of translation. The method described here uses high-velocity centrifugation of whole cell extracts on linear sucrose gradients to separate 40S and 60S ribosomal subunits from 80S monosomes and polysomes. Cycloheximide is included in the lysis buffer to "freeze" polysomes by blocking translation. After centrifugation, the gradient is fractionated and RNA (and/or protein) is prepared from each fraction for subsequent analysis of individual species using northern or western blots. The entire RNA population in each fraction can be analyzed by hybridization to microarrays or by high-throughput RNA sequencing, and the proteins present can be identified by mass spectrometry analysis. © 2017 Cold Spring Harbor Laboratory Press.

  1. Social network analysis shows direct evidence for social transmission of tool use in wild chimpanzees.

    Directory of Open Access Journals (Sweden)

    Catherine Hobaiter

    2014-09-01

    Full Text Available Social network analysis methods have made it possible to test whether novel behaviors in animals spread through individual or social learning. To date, however, social network analysis of wild populations has been limited to static models that cannot precisely reflect the dynamics of learning, for instance, the impact of multiple observations across time. Here, we present a novel dynamic version of network analysis that is capable of capturing temporal aspects of acquisition--that is, how successive observations by an individual influence its acquisition of the novel behavior. We apply this model to studying the spread of two novel tool-use variants, "moss-sponging" and "leaf-sponge re-use," in the Sonso chimpanzee community of Budongo Forest, Uganda. Chimpanzees are widely considered the most "cultural" of all animal species, with 39 behaviors suspected as socially acquired, most of them in the domain of tool-use. The cultural hypothesis is supported by experimental data from captive chimpanzees and a range of observational data. However, for wild groups, there is still no direct experimental evidence for social learning, nor has there been any direct observation of social diffusion of behavioral innovations. Here, we tested both a static and a dynamic network model and found strong evidence that diffusion patterns of moss-sponging, but not leaf-sponge re-use, were significantly better explained by social than individual learning. The most conservative estimate of social transmission accounted for 85% of observed events, with an estimated 15-fold increase in learning rate for each time a novice observed an informed individual moss-sponging. We conclude that group-specific behavioral variants in wild chimpanzees can be socially learned, adding to the evidence that this prerequisite for culture originated in a common ancestor of great apes and humans, long before the advent of modern humans.

  2. Social network analysis shows direct evidence for social transmission of tool use in wild chimpanzees.

    Science.gov (United States)

    Hobaiter, Catherine; Poisot, Timothée; Zuberbühler, Klaus; Hoppitt, William; Gruber, Thibaud

    2014-09-01

    Social network analysis methods have made it possible to test whether novel behaviors in animals spread through individual or social learning. To date, however, social network analysis of wild populations has been limited to static models that cannot precisely reflect the dynamics of learning, for instance, the impact of multiple observations across time. Here, we present a novel dynamic version of network analysis that is capable of capturing temporal aspects of acquisition--that is, how successive observations by an individual influence its acquisition of the novel behavior. We apply this model to studying the spread of two novel tool-use variants, "moss-sponging" and "leaf-sponge re-use," in the Sonso chimpanzee community of Budongo Forest, Uganda. Chimpanzees are widely considered the most "cultural" of all animal species, with 39 behaviors suspected as socially acquired, most of them in the domain of tool-use. The cultural hypothesis is supported by experimental data from captive chimpanzees and a range of observational data. However, for wild groups, there is still no direct experimental evidence for social learning, nor has there been any direct observation of social diffusion of behavioral innovations. Here, we tested both a static and a dynamic network model and found strong evidence that diffusion patterns of moss-sponging, but not leaf-sponge re-use, were significantly better explained by social than individual learning. The most conservative estimate of social transmission accounted for 85% of observed events, with an estimated 15-fold increase in learning rate for each time a novice observed an informed individual moss-sponging. We conclude that group-specific behavioral variants in wild chimpanzees can be socially learned, adding to the evidence that this prerequisite for culture originated in a common ancestor of great apes and humans, long before the advent of modern humans.

  3. Quantitative evaluation of fluctuation error in X-ray diffraction profiles with fractal analysis

    International Nuclear Information System (INIS)

    Kurose, Masashi; Hirose, Yukio; Sasaki, Toshihiko; Yoshioka, Yasuo.

    1995-01-01

    A method of the fractal analysis was applied to the diffraction profiles for its quantitative evaluation. The fractal dimension was analyzed according to both Box counting method and FFT method. The relationship between the fractal dimension and the measurement criteria in X-ray diffraction analysis was discussed with diffraction data obtained under various conditions of the measurement. It was concluded that the fractal analysis is effective for the quantitative evaluation of diffraction data. Box counting method is suitable for evaluation of a whole profile, and FFT method is for that of a fundamental profile. The range of desirable condition of measurement is 1.0≤D≤1.2, where D is a fractal dimension. The appropriate range of measurement becomes 0.01≤Sw/HVB≤0.03, where Sw is the step width and the HVB is the half-value breadth. Stresses with higher precision were obtained from measurements under this new criteria. (author)

  4. Analysis of social media in Karelia

    OpenAIRE

    Soyunen, Maxim

    2013-01-01

    Author Maxim Soyunen Group or year of entry 2009 Title of report Analysis of Social Media in Karelia Number of report pages and attachment pages 46+1 Teacher(s) or supervisor(s) Suvi Kalela, Mervi Riikonen This study is an attempt to raise awareness of the theories and practices, which shape the digital landscape of the world and Russia in particular, as well as of the multiple resources i.e. social platforms and tools that individuals and businesses use on e...

  5. Fishing Community Profiles

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — To enable fisheries managers to comply with National Standard 8 (NS8), NMFS social scientists around the nation are preparing fishing community profiles that present...

  6. Behavioural Profiling in Cyber-Social Systems

    DEFF Research Database (Denmark)

    Perno, Jason; Probst, Christian W.

    2017-01-01

    Computer systems have evolved from standalone systems, over networked systems, to cyber-physical systems. In all stages, human operators have been essential for the functioning of the system and for understanding system messages. Recent trends make human actors an even more central part of computer...... systems, resulting in what we call "cyber-social systems". In cyber-social systems, human actors and their interaction with a system are essential for the state of the system and its functioning. Both the system's operation and the human's operating it are based on an assumption of each other's behaviour...

  7. Improving Family Forest Knowledge Transfer through Social Network Analysis

    Science.gov (United States)

    Gorczyca, Erika L.; Lyons, Patrick W.; Leahy, Jessica E.; Johnson, Teresa R.; Straub, Crista L.

    2012-01-01

    To better engage Maine's family forest landowners our study used social network analysis: a computational social science method for identifying stakeholders, evaluating models of engagement, and targeting areas for enhanced partnerships. Interviews with researchers associated with a research center were conducted to identify how social network…

  8. Narcissism and Social Networking Behavior: A Meta-Analysis.

    Science.gov (United States)

    Gnambs, Timo; Appel, Markus

    2018-04-01

    The increasing popularity of social networking sites (SNS) such as Facebook and Twitter has given rise to speculations that the intensity of using these platforms is associated with narcissistic tendencies. However, recent research on this issue has been all but conclusive. We present a three-level, random effects meta-analysis including 289 effect sizes from 57 studies (total N = 25,631) on the association between trait narcissism and social networking behavior. The meta-analysis identified a small to moderate effect of ρ = .17 (τ = .11), 95% CI [.13, .21], for grandiose narcissism that replicated across different social networking platforms, respondent characteristics, and time. Moderator analyses revealed pronounced cultural differences, with stronger associations in power-distant cultures. Moreover, social networking behaviors geared toward self-presentation and the number of SNS friends exhibited stronger effects than usage durations. Overall, the study not only supported but also refined the notion of a relationship between engaging in social networking sites and narcissistic personality traits. © 2017 Wiley Periodicals, Inc.

  9. Digital Elevation Profile: A Complex Tool for the Spatial Analysis of Hiking

    Directory of Open Access Journals (Sweden)

    Laura TÎRLĂ

    2014-11-01

    Full Text Available One of the current attributions of mountain geomorphology is to provide information for tourism purposes, such as the spatial analysis of hiking trails. Therefore, geomorphic tools are indispensable for terrain analyses. Elevation profile is one of the most adequate tools for assessing the morphometric patterns of the hiking trails. In this study we tested several applications in order to manage raw data, create profile graphs and obtain the morphometric parameters of five hiking trails in the Căpățânii Mountains (South Carpathians, Romania. Different data complexity was explored: distance, elevation, cumulative gain or loss, slope etc. Furthermore, a comparative morphometric analysis was performed in order to emphasize the multiple possibilities provided by the elevation profile. Results show that GPS Visualizer, Geocontext and in some manner Google Earth are the most adequate applications that provide high-quality elevation profiles and detailed data, with multiple additional functions, according to user's needs. The applied tools and techniques are very useful for mountain route planning, elaborating mountain guides, enhancing knowledge about specific trails or routes, or assessing the landscape and tourism value of a mountain area.

  10. Social networking and the Olympic Movement: social media analysis, opportunities and trends : final report

    OpenAIRE

    Fernández Peña, Emilio

    2011-01-01

    Table of contents : 1: Introduction. - 2 : Sociodemographic data of social networking sites. - 3 : The Vancouver 2010 Olympic Winter Games on Facebook, Twitter and Orkut. - 4 : Singapore 2010 Youth Olympic Games communication strategies on Facebook and Twitter. - 5 : Sport organizations social networking strategies : case study analysis. - 6 : Olympic athletes and social media use during a non olympic-period. - 7. The Olympic Games, NBA and FC Barcelona on Facebook : content and fan participa...

  11. Multiplex social ecological network analysis reveals how social changes affect community robustness more than resource depletion.

    Science.gov (United States)

    Baggio, Jacopo A; BurnSilver, Shauna B; Arenas, Alex; Magdanz, James S; Kofinas, Gary P; De Domenico, Manlio

    2016-11-29

    Network analysis provides a powerful tool to analyze complex influences of social and ecological structures on community and household dynamics. Most network studies of social-ecological systems use simple, undirected, unweighted networks. We analyze multiplex, directed, and weighted networks of subsistence food flows collected in three small indigenous communities in Arctic Alaska potentially facing substantial economic and ecological changes. Our analysis of plausible future scenarios suggests that changes to social relations and key households have greater effects on community robustness than changes to specific wild food resources.

  12. Time series analysis in the social sciences the fundamentals

    CERN Document Server

    Shin, Youseop

    2017-01-01

    Times Series Analysis in the Social Sciences is a practical and highly readable introduction written exclusively for students and researchers whose mathematical background is limited to basic algebra. The book focuses on fundamental elements of time series analysis that social scientists need to understand so they can employ time series analysis for their research and practice. Through step-by-step explanations and using monthly violent crime rates as case studies, this book explains univariate time series from the preliminary visual analysis through the modeling of seasonality, trends, and re

  13. Depth profile analysis of thin TiOxNy films using standard ion beam analysis techniques and HERDA

    International Nuclear Information System (INIS)

    Markwitz, A.; Dytlewski, N.; Cohen, D.

    1999-01-01

    Ion beam assisted deposition is used to fabricate thin titanium oxynitride films (TiO x N y ) at Industrial Research (typical film thickness 100nm). At the Institute of Geological and Nuclear Sciences, the thin films are analysed using non-destructive standard ion beam analysis (IBA) techniques. High-resolution titanium depth profiles are measured with RBS using 1.5MeV 4 He + ions. Non-resonant nuclear reaction analysis (NRA) is performed for investigating the amounts of O and N in the deposited films using the reactions 16 O(d,p) 17 O at 920 keV and 14 N(d,α) 12 C at 1.4 MeV. Using a combination of these nuclear techniques, the stoichiometry as well as the thickness of the layers is revealed. However, when oxygen and nitrogen depth profiles are required for investigating stoichiometric changes in the films, additional nuclear analysis techniques such as heavy ion elastic recoil detection (HERDA) have to be applied. With HERDA, depth profiles of N, O, and Ti are measured simultaneously. In this paper comparative IBA measurement s of TiO x N y films with different compositions are presented and discussed

  14. ASD and schizophrenia show distinct developmental profiles in common genetic overlap with population-based social communication difficulties.

    Science.gov (United States)

    St Pourcain, B; Robinson, E B; Anttila, V; Sullivan, B B; Maller, J; Golding, J; Skuse, D; Ring, S; Evans, D M; Zammit, S; Fisher, S E; Neale, B M; Anney, R J L; Ripke, S; Hollegaard, M V; Werge, T; Ronald, A; Grove, J; Hougaard, D M; Børglum, A D; Mortensen, P B; Daly, M J; Davey Smith, G

    2018-02-01

    Difficulties in social communication are part of the phenotypic overlap between autism spectrum disorders (ASD) and schizophrenia. Both conditions follow, however, distinct developmental patterns. Symptoms of ASD typically occur during early childhood, whereas most symptoms characteristic of schizophrenia do not appear before early adulthood. We investigated whether overlap in common genetic influences between these clinical conditions and impairments in social communication depends on the developmental stage of the assessed trait. Social communication difficulties were measured in typically-developing youth (Avon Longitudinal Study of Parents and Children, N⩽5553, longitudinal assessments at 8, 11, 14 and 17 years) using the Social Communication Disorder Checklist. Data on clinical ASD (PGC-ASD: 5305 cases, 5305 pseudo-controls; iPSYCH-ASD: 7783 cases, 11 359 controls) and schizophrenia (PGC-SCZ2: 34 241 cases, 45 604 controls, 1235 trios) were either obtained through the Psychiatric Genomics Consortium (PGC) or the Danish iPSYCH project. Overlap in genetic influences between ASD and social communication difficulties during development decreased with age, both in the PGC-ASD and the iPSYCH-ASD sample. Genetic overlap between schizophrenia and social communication difficulties, by contrast, persisted across age, as observed within two independent PGC-SCZ2 subsamples, and showed an increase in magnitude for traits assessed during later adolescence. ASD- and schizophrenia-related polygenic effects were unrelated to each other and changes in trait-disorder links reflect the heterogeneity of genetic factors influencing social communication difficulties during childhood versus later adolescence. Thus, both clinical ASD and schizophrenia share some genetic influences with impairments in social communication, but reveal distinct developmental profiles in their genetic links, consistent with the onset of clinical symptoms.

  15. RASopathies are associated with a distinct personality profile.

    Science.gov (United States)

    Bizaoui, Varoona; Gage, Jessica; Brar, Rita; Rauen, Katherine A; Weiss, Lauren A

    2018-06-01

    Personality is a complex, yet partially heritable, trait. Although some Mendelian diseases like Williams-Beuren syndrome are associated with a particular personality profile, studies have failed to assign the personality features to a single gene or pathway. As a family of monogenic disorders caused by mutations in the Ras/MAPK pathway known to influence social behavior, RASopathies are likely to provide insight into the genetic basis of personality. Eighty subjects diagnosed with cardiofaciocutaneous syndrome, Costello syndrome, neurofibromatosis type 1, and Noonan syndrome were assessed using a parent-report BFQ-C (Big Five Questionnaire for Children) evaluating agreeableness, extraversion, conscientiousness, intellect/openness, and neuroticism, along with 55 unaffected sibling controls. A short questionnaire was added to assess sense of humor. RASopathy subjects and sibling controls were compared for individual components of personality, multidimensional personality profiles, and individual questions using Student tests, analysis of variance, and principal component analysis. RASopathy subjects were given lower scores on average compared to sibling controls in agreeableness, extraversion, conscientiousness, openness, and sense of humor, and similar scores in neuroticism. When comparing the multidimensional personality profile between groups, RASopathies showed a distinct profile from unaffected siblings, but no difference in this global profile was found within RASopathies, revealing a common profile for the Ras/MAPK-related disorders. In addition, several syndrome-specific strengths or weaknesses were observed in individual domains. We describe for the first time an association between a single pathway and a specific personality profile, providing a better understanding of the genetics underlying personality, and new tools for tailoring educational and behavioral approaches for individuals with RASopathies. © 2018 Wiley Periodicals, Inc.

  16. Universities in social media – Recipients’ expectations and the published contents

    Directory of Open Access Journals (Sweden)

    Agnieszka Chwiałkowska

    2014-09-01

    Full Text Available Research carried out by the author in 2013, which covered all 59 public universities listed by the Ministry of Science and Higher Education showed that Polish public universities are more and more eagerly resorting to social media as a channel for communication with the environment of students and they are currently active in social media and especially on Facebook, where 81% (48 units have their official profiles. Also other research projects show that the activities of a university in social media influences the image of the university especially among students – according to them student candidates admit that the presence of universities in social media and information published on their official Facebook profiles and the manner of interaction with users had an impact on their final decision on the choice of a university. At the same time it is possible to notice a research gap in the area of expectations of main target group for messages of universities published in social media, that is, students, with regard to the form and content of these messages from universities. It is also possible to notice a clear lack of qualitative analyses of activities taken up by Polish universities in social media. For this reason the author has decided to continue the above-mentioned research in order to learn more about the described phenomenon, that is, the presence of universities on social media platforms. The author has defined the following detailed goals for the research: identification of the expectations of students (who in Poland are the main recipient of universities’ messages in social media and employees with regard to the presence of the university in social media; identification of student’s preferred methods of communication with the university; Learning about the students’ assessment of the activities of universities conducted in social media; Qualitative analysis of contents published by universities in social media. The research

  17. Parents perceptions of social inclusion for children with Williams Syndrome

    OpenAIRE

    Gulliver, Katherine

    2016-01-01

    This thesis explores parents’ perceptions of social inclusion for children with Williams Syndrome; a rare intellectual disability with a distinct social cognitive profile. 5 interviews with parents give rich understanding to what parents’ value for their child’s education, and how this is achieved. Thematic analysis highlights key similarities and differences in experiences between parents of children attending mainstream schools and one special school. Severity of disability affects how pare...

  18. Social Pedagogy and Social Work: An analysis of their Relationship from a Socio-pedagogical Perspective

    Directory of Open Access Journals (Sweden)

    Ewa Marynowicz-Hetka

    2016-04-01

    Full Text Available A proposal for the relationship between social pedagogy and social work will be made in this manuscript. It is assumed that social work is a certain type of practice cultivated by representatives of the social professions. Social pedagogy can provide an analysis of the field of social work, helping to orient activities within the field and to determine the proper selection of ways of conduct, a kind of a meta-theory. Such an approach enables interaction and cooperation between representatives of multiple disciplines within the humanities and social sciences who are engaged in social work. It also has consequences for the acceptance of multi-faceted and multi-dimensional approaches to activities in the field of social work, which is recognized as an important field for social pedagogues, allowing them to carry out social actions from various perspectives, socio-pedagogical among them. The socio-pedagogical perspective on social work will be analyzed in this article.

  19. Profiles of African American College Students’ Alcohol Use and Sexual Behaviors: Associations With Stress, Racial Discrimination, and Social Support

    Science.gov (United States)

    Metzger, Isha W.; Cooper, Shauna M.; Ritchwood, Tiarney D.; Onyeuku, Chisom; Griffin, Charity Brown

    2017-01-01

    Though studies show that alcohol use and sexual activity increase during emerging adulthood, few studies examine within–ethnic group differences, particularly among African American college students. This investigation utilized a latent class analytic methodology to identify risk behavior profiles of alcohol use (frequency and amount of alcohol consumed), sexual activity (number of intimate partners), and co-occurring risk behaviors (drinking before sexual intercourse) among 228 African American college students. This investigation also examined whether identified risk behavior profiles were associated with stress (interpersonal, intraperso-nal, academic, and environmental), experiences of racial discrimination, and social support (from family, friends, and the college community). Results identified five distinct profiles within this sample: (a) High Sexual Risk—above-average sexual activity; (b) Abstainers—below-average alcohol use and sexual activity; (c) Low Risk—average alcohol use and sexual activity; (d) Alcohol Risk—above-average alcohol use and below-average sexual activity; and (e) Co-Occurring Risk—above-average alcohol use and sexual activity. Identified profiles differed across interpersonal and environmental stress, and self-reported frequency of experiences with racial discrimination. Implications for prevention programs and interventions aimed at reducing alcohol and sexual activity for African American college students are discussed. PMID:27215314

  20. Profiles of African American College Students' Alcohol Use and Sexual Behaviors: Associations With Stress, Racial Discrimination, and Social Support.

    Science.gov (United States)

    Metzger, Isha W; Cooper, Shauna M; Ritchwood, Tiarney D; Onyeuku, Chisom; Griffin, Charity Brown

    2017-01-01

    Though studies show that alcohol use and sexual activity increase during emerging adulthood, few studies examine within-ethnic group differences, particularly among African American college students. This investigation utilized a latent class analytic methodology to identify risk behavior profiles of alcohol use (frequency and amount of alcohol consumed), sexual activity (number of intimate partners), and co-occurring risk behaviors (drinking before sexual intercourse) among 228 African American college students. This investigation also examined whether identified risk behavior profiles were associated with stress (interpersonal, intrapersonal, academic, and environmental), experiences of racial discrimination, and social support (from family, friends, and the college community). Results identified five distinct profiles within this sample: (a) High Sexual Risk-above-average sexual activity; (b) Abstainers-below-average alcohol use and sexual activity; (c) Low Risk-average alcohol use and sexual activity; (d) Alcohol Risk-above-average alcohol use and below-average sexual activity; and (e) Co-Occurring Risk-above-average alcohol use and sexual activity. Identified profiles differed across interpersonal and environmental stress, and self-reported frequency of experiences with racial discrimination. Implications for prevention programs and interventions aimed at reducing alcohol and sexual activity for African American college students are discussed.

  1. A personality-based latent class typology of outpatients with major depressive disorder: association with symptomatology, prescription pattern and social function.

    Science.gov (United States)

    Hori, Hiroaki; Teraishi, Toshiya; Nagashima, Anna; Koga, Norie; Ota, Miho; Hattori, Kotaro; Kim, Yoshiharu; Higuchi, Teruhiko; Kunugi, Hiroshi

    2017-08-01

    While major depressive disorder (MDD) is considered to be a heterogeneous disorder, the nature of the heterogeneity remains unclear. Studies have attempted to classify patients with MDD using latent variable techniques, yet the empirical approaches to symptom-based subtyping of MDD have not provided conclusive evidence. Here we aimed to identify homogeneous classes of MDD based on personality traits, using a latent profile analysis. We studied 238 outpatients with DSM-IV MDD recruited from our specialized depression outpatient clinic and assessed their dimensional personality traits with the Temperament and Character Inventory. Latent profile analysis was conducted with 7 dimensions of the Temperament and Character Inventory as indicators. Relationships of the identified classes with symptomatology, prescription pattern, and social function were then examined. The latent profile analysis indicated that a 3-class solution best fit the data. Of the sample, 46.2% was classified into a "neurotic" group characterized by high harm avoidance and low self-directedness; 30.3% into an "adaptive" group characterized by high self-directedness and cooperativeness; and 23.5% into a "socially-detached" group characterized by low reward dependence and cooperativeness and high self-transcendence. The 2 maladaptive groups, namely neurotic and socially-detached groups, demonstrated unique patterns of symptom expression, different classes of psychotropic medication use, and lower social functioning. Generalizability of the findings was limited since our patients were recruited from the specialized depression outpatient clinic. Our personality-based latent profile analysis identified clinically meaningful 3 MDD groups that were markedly different in their personality profiles associated with distinct symptomatology and functioning. Copyright © 2017 Elsevier B.V. All rights reserved.

  2. Measuring Social Capital in Virtual Social Networks; Introducing Workable Indices

    Directory of Open Access Journals (Sweden)

    Hamid Abdollahian

    2013-12-01

    Full Text Available This paper will attempt to offer a set of indicators that together construct a model which will help to measure social capital among users of social networks. The world is now experiencing some new changes that are affecting conceptual equations in social sciences, two of which are of our concern here: 1- the concept of social capital that has opened its way into epistemological basis of social sciences, and; 2- the world has welcomed the birth and development of social networks in our daily life, affecting many aspects of social actions. There is Facebook from among a handful of social networks that has reached the threshold of international networking capacity with roughly one billion users. We will use Robert Putnam's theory of social capital alongside Frank's methodological innovation regarding measuring tools of social capital in order to create a marriage between these two as well as to address a yet more problematizing issue, i.e., how to measure social capital of the Facebook users. Accordingly the paper will focus on Facebook as the field of research and will introduce triangulation approach that we used in order to come up with the set of indicators. Participatory observation and online survey were used as constructing elements of triangulation approach so to generate the necessary data for the above purpose. At first, we used participatory observation through which 14 targeted samples were selected and whatever they had in their profile in Facebook were collected and analyzed. This analysis helped us to construct our questionnaire which was launched through Google docs. In the end, some 218 respondent returned their completed questionnaires. The final stage of analysis consisted of finding out how we can use the results to offer a new tool for measuring social capital of Facebook users. The research findings indicated that there are 10 indicators which should be put together if social capital is to be properly measured.

  3. Social Entrepreneurship and Social Innovation

    DEFF Research Database (Denmark)

    Lundgaard Andersen, Linda

    2015-01-01

    In social entrepreneurship, social innovation and human economy coexist with democratic governance and volunteerism in the development of new initiatives and responses to wicked welfare problems. Volunteerism in social entrepreneurship takes up a prominent position, leading to the birth of new...... organisational hybrid formats: social enterprises. Drawing upon a single case study of ‘the Bridge’, a typical Danish work integration social enterprise (WISE), it is shown how social enterprises act as ‘strong learning arenas’, opting for a number of high-profile and ‘popular’ objectives: to train and empower...... marginal citizens, to create sustainable enterprises in a new economy, to strengthen the local community, to renew welfare services and labour strategies, and to develop social enterprise and business models. Adding to these objectives we can include democracy and participation, and positioning...

  4. Social Pedagogy in Finland and Sweden: a comparative analysis

    Directory of Open Access Journals (Sweden)

    Juha Hämäläinen

    2015-12-01

    Full Text Available Discussing how the concept of social pedagogy has been used in Finland and Sweden, this paper provides a historical and systemic comparison of policies and practices of social pedagogy in these two countries. The main aim is to identify and explain the main similarities and differences between the Finnish and Swedish national trajectories of social pedagogical thinking and action. In the first phase of the analysis, country-specific features of social pedagogy were described paying attention to historical and structural aspects. In the second phase, these descriptions were compared in a dialogue between the au- thors, one from Finland and the other from Sweden. The dialogue-based comparison was targeted to ex- plain the identified similar and different features of social pedagogical policies and practices. The explanation was based on historical and systemic considerations, especially those of historical development, research activities, theory buildings, methodologies and techniques, professionalization and the practice fields, and the future prospects of social pedagogy.The analysis showed that the historical roots and theoretical foundations of social pedagogical think- ing and action are very similar in Finland and Sweden but the position of social pedagogy  as an academic discipline  as well as a field of practice is partly different. Since social pedagogy has not been acknowl- edged as an academic discipline in Sweden, its outlook as a field of practice is on shaky ground, while in Finland the future of social pedagogy as an academic discipline  is uncertain because the social-peda- gogical know-how based on academic education is not well known and has not found general acceptance in the field’s practice.The analysis showed that the historical roots and theoretical foundations of social pedagogical thinking and action are very similar in Finland and Sweden but the position of social pedagogy as an academic discipline as well as a

  5. A simple analysis of the stable field profile in the supercritical TEA

    DEFF Research Database (Denmark)

    Jeppesen, Palle; Jeppsson, B.

    1973-01-01

    An analytical investigation supported by numerical calculations has been performed of the stable field profile in a supercritical diffusion-stabilized n-GaAs transferred electron amplifier (TEA) with ohmic contacts. In the numerical analysis, the field profile is determined by solving the steady......}{2}} (n_{0}L)^{frac{1}{2}}. Those results contribute to the understanding of the highn_{0}L-product switch and the stability of the supercritical TEA....

  6. Analysis of the questionnaire results to professionals of Portuguese public libraries on the social mission of the public library on Facebook

    OpenAIRE

    Alvim, Luísa; Calixto, José António

    2014-01-01

    This work presents the results and the analysis of the questionnaire conducted among 99 professionals of Portuguese public libraries with Facebook page/profile at the beginning of the year 2014. It is part of a wider research - case study, using other techniques for data collection on the impact of Web 2.0 on the social role of Portuguese public libraries on the Facebook platform. The main purposes of the survey are to analyze how professionals from libraries explore the Facebo...

  7. The social and community opportunities profile social inclusion measure: Structural equivalence and differential item functioning in community mental health residents in Hong Kong and the United Kingdom.

    Science.gov (United States)

    Huxley, Peter John; Chan, Kara; Chiu, Marcus; Ma, Yanni; Gaze, Sarah; Evans, Sherrill

    2016-03-01

    China's future major health problem will be the management of chronic diseases - of which mental health is a major one. An instrument is needed to measure mental health inclusion outcomes for mental health services in Hong Kong and mainland China as they strive to promote a more inclusive society for their citizens and particular disadvantaged groups. To report on the analysis of structural equivalence and item differentiation in two mentally unhealthy and one healthy sample in the United Kingdom and Hong Kong. The mental health sample in Hong Kong was made up of non-governmental organisation (NGO) referrals meeting the selection/exclusion criteria (being well enough to be interviewed, having a formal psychiatric diagnosis and living in the community). A similar sample in the United Kingdom meeting the same selection criteria was obtained from a community mental health organisation, equivalent to the NGOs in Hong Kong. Exploratory factor analysis and logistic regression were conducted. The single-variable, self-rated 'overall social inclusion' differs significantly between all of the samples, in the way we would expect from previous research, with the healthy population feeling more included than the serious mental illness (SMI) groups. In the exploratory factor analysis, the first two factors explain between a third and half of the variance, and the single variable which enters into all the analyses in the first factor is having friends to visit the home. All the regression models were significant; however, in Hong Kong sample, only one-fifth of the total variance is explained. The structural findings imply that the social and community opportunities profile-Chinese version (SCOPE-C) gives similar results when applied to another culture. As only one-fifth of the variance of 'overall inclusion' was explained in the Hong Kong sample, it may be that the instrument needs to be refined using different or additional items within the structural domains of inclusion.

  8. The Milking Profile of Dairy Cattle Farms in Central Macedonia (Greece

    Directory of Open Access Journals (Sweden)

    Ioannis Mitsopoulos

    2013-05-01

    Full Text Available The purpose of this paper is to provide insights of the profile of the dairy farms of Central Macedonia (Greece, in terms of their milking practices. The analysis is based on data from a random sample of 123 dairy farms, obtained by means of a survey. The employment of the Categorical Principal Component Analysis on the 14 variables initially used to describe milking practices and of the Two-Step Cluster Analysis led to the grouping of the 123 farms to three clusters. Farms of the first cluster, named “Innovative”, use state-of-the-art equipment, automatic systems and innovative milking techniques (31.1% of the sample farms. “Peasant” farms (11.4% are mainly extensive, using mainly bucket plants. The third and most abundant group, the “Modernizing” farms (54.5% are use equipment of reasonable standards and some of them are on the process of renewing it. The results of a Multinomial Logit model verify that “Innovative” farms are large and achieve high yields, while the “Modernizing” ones are smaller, producing milk of lower quality and they are owned by relatively older dairy farmers. An interesting profile is depicted for “Peasant” farms, as they achieve satisfactory economic performance, combined with adequate milk quality. The analytical framework included the reduction of analysis variables to a smaller group of “dimensions”, using the Categorical Principal Component Analysis (CatPCA, based on which farms were clustered to alternative profiles, by employing a Two-Step Cluster (TSC Analysis. Differences in elements of milk quality and in the social profile of farms and farmers were examined among alternative profiles through the estimation of Multinomial Logit Models.

  9. Fluid Centrality: A Social Network Analysis of Social-Technical Relations in Computer-Mediated Communication

    Science.gov (United States)

    Enriquez, Judith Guevarra

    2010-01-01

    In this article, centrality is explored as a measure of computer-mediated communication (CMC) in networked learning. Centrality measure is quite common in performing social network analysis (SNA) and in analysing social cohesion, strength of ties and influence in CMC, and computer-supported collaborative learning research. It argues that measuring…

  10. Scalable, Secure Analysis of Social Sciences Data on the Azure Platform

    Energy Technology Data Exchange (ETDEWEB)

    Simmhan, Yogesh; Deng, Litao; Kumbhare, Alok; Redekopp, Mark; Prasanna, Viktor

    2012-05-07

    Human activity and interaction data is beginning to be collected at population scales through the pervasiveness of social media and willingness of people to volunteer information. This can allow social science researchers to understand and model human behavior with better accuracy and prediction power. Political and social scientists are starting to correlate such large scale social media datasets with events that impact society as evidence abound of the virtual and physical public spaces intersecting and influencing each other [1,2]. Managers of Cyber Physical Systems such as Smart Power Grid utilities are investigating the impact of consumer behavior on power consumption, and the possibility of influencing the usage profile [3]. Data collection is also made easier through technology such as mobile apps, social media sites and search engines that directly collect data, and sensors such smart meters and room occupancy sensors that indirectly measure human activity. These technology platforms also provide a convenient framework for “human sensors” to record and broadcast data for behavioral studies, as a form of crowd sourced citizen science. This has the added advantage of engaging the broader public in STEM activities and help influence public policy.

  11. Professional socialization in nursing: A qualitative content analysis.

    Science.gov (United States)

    Zarshenas, Ladan; Sharif, Farkhondeh; Molazem, Zahra; Khayyer, Mohammad; Zare, Najaf; Ebadi, Abbas

    2014-07-01

    Being a nurse is more than just a series of business activities and skills. In fact, it is a part of the process of socialization, which is internalization and development of professional identity. Professional socialization is necessary for involving the students in professional practices. Thus, the purpose of this qualitative research was to increase the understanding of professional socialization in nursing and explore the related factors from the perspective of registered nurses and nursing students. In this qualitative design, data were collected on 43 nurses with a variety of experiences using semi-structured interviews and focus groups in the Shiraz University of Medical Sciences in 2012. Data were analyzed through inductive content analysis. THE DATA ANALYSIS REVEALED TWO MAIN CATEGORIES: (1) sense of belonging with three sub-categories of theory-practice incongruence, educational experiences and tacit knowledge and (2) forming professional identity consisting of three sub-categories of relatedness, internal motivation and role model. This study demonstrates that in nursing, sense of belonging and professional identity contributes to professional socialization; it is suggested that these factors, which improve socialization in nurses, be taken into account by authorities.

  12. Critical discourse analysis of social justice in nursing's foundational documents.

    Science.gov (United States)

    Valderama-Wallace, Claire P

    2017-07-01

    Social inequities threaten the health of the global population. A superficial acknowledgement of social justice by nursing's foundational documents may limit the degree to which nurses view injustice as relevant to nursing practice and education. The purpose was to examine conceptualizations of social justice and connections to broader contexts in the most recent editions. Critical discourse analysis examines and uncovers dynamics related to power, language, and inequality within the American Nurses Association's Code of Ethics, Scope and Standards of Practice, and Social Policy Statement. This analysis found ongoing inconsistencies in conceptualizations of social justice. Although the Code of Ethics integrates concepts related to social justice far more than the other two, tension between professionalism and social change emerges. The discourse of professionalism renders interrelated cultural, social, economic, historical, and political contexts nearly invisible. Greater consistency would provide a clearer path for nurses to mobilize and engage in the courageous work necessary to address social injustice. These findings also call for an examination of how nurses can critique and use the power and privilege of professionalism to amplify the connection between social institutions and health equity in nursing education, practice, and policy development. © 2017 Wiley Periodicals, Inc.

  13. Social Capital, Self-Esteem, and Use of Online Social Network Sites: A Longitudinal Analysis

    Science.gov (United States)

    Steinfield, Charles; Ellison, Nicole B.; Lampe, Cliff

    2008-01-01

    A longitudinal analysis of panel data from users of a popular online social network site, Facebook, investigated the relationship between intensity of Facebook use, measures of psychological well-being, and bridging social capital. Two surveys conducted a year apart at a large U.S. university, complemented with in-depth interviews with 18 Facebook…

  14. SIMS depth profile analysis of environmental microparticles

    International Nuclear Information System (INIS)

    Konarski, P.

    2000-01-01

    Environmental and technological research demands chemical characterization of aerosol particles so minute in size, that conventional methods for bulk analyses are simply not applicable. In this work novel application of secondary ion mass spectrometry (SIMS) for characterization of microparticles suspended in atmosphere of the working environment of glass plant Thomson Polkolor, Piaseczno and steelworks Huta Sendzimira, Cracow is presented. The new technique based on sample rotation in depth profile analysis of sub-micrometer particulate material was performed on SAJW-02 analyser equipped with Balzers 16 mm quadrupole spectrometer and sample rotation manipulator using 5 keV Ar + and O 2 + ion beams. The results were compared with the standard method used on ims-3f Cameca analyser 12 keV O 2 + ion beam. Grain size distributions of aerosol microparticles were estimated using eight-stage cascade impactor with particle size range of 0.2 μm to 15 μm. Elemental concentration and crystalline structure of the collected dust particles were performed using spark source mass spectrometry and X-ray diffraction methods. SIMS depth profile analysis shows that sub-micrometer particles do not have uniform morphology, The core-shell structure has been observed for particles collected in both factories. Presented models show that the steelworks particles consists mainly of iron and manganese cores. At the shells of these microparticles :lead, chlorine and fluorine are found. The cores of glass plant submicrometer particles consists mainly of lead-zirconium glass covered by a shell containing carbon and copper. Sample rotation technique applied SIMS appears to be an effective tool for environmental microparticle morphology studies. (author)

  15. TAM AIRLINES ON TWITTER: COMMUNICATION CHANNEL OR SOCIAL NETWORK?

    Directory of Open Access Journals (Sweden)

    Cynthia Harumy Watanabe Corrêa

    2010-12-01

    Full Text Available The research emphasizes the social appropriation of Information and Communication Technologies by the Brazilian aviation industry, through a case study of communication strategies of TAM on the social networking site Twitter. TAM is a leader in the Brazilian domestic market and gradually conquering its space in Mercosul. This is an exploratory research, based on content analysis of messages sent to the company profile on Twitter, in order to check whether indeed the consolidation of a social network between TAM and its followers. We analyzed all messages posted since July 3, 2009, the date of the first post in the company profile, until the day January 31, 2010. Among the subjects discussed, there was the predominance of information and promotions. The study concludes that, under Twitter, TAM has yet reached a high degree of social interaction with his followers, because the major number of messages is directed to promotional marketing.

  16. Analysis of plasmid profiling as a method for rapid differentiation of food-associated Clostridium perfringens strains.

    Science.gov (United States)

    Jones, M K; Iwanejko, L A; Longden, M S

    1989-09-01

    Plasmid analysis of over 120 strains of Clostridium perfringens, isolated during food-poisoning incidents and from animal carcasses and food constituents with no association with food poisoning, showed the potential of plasmid profiling as a means of differentiating epidemiologically related strains. On average 65% of freshly isolated strains contained one or more plasmids which could be used in the analysis. Comparison of profiles of strains from unrelated sources or unrelated strains from the same source showed a particularly wide variety of plasmid profiles. Thus the possibility that epidemiologically-unrelated strains might possess similar profiles appears to be very low in this organism. Analysis of serologically-related strains from the same source revealed similar plasmid profiles in all the plasmid-bearing strains examined. A high proportion (71%) of fresh and well-characterized food-poisoning strains possessed plasmids of 6.2 kb in size (compared with 19% of non-food-poisoning strains). The possible role of these plasmids is discussed, since the structural gene encoding the enterotoxin type A was not present on any of the plasmids in the food-poisoning strains tested.

  17. Social Media Data in the Academic Environment: Crimson Hexagon in the Library

    OpenAIRE

    Tulley, Stephanie; Dennis, Tim

    2016-01-01

    Social media data is a high-profile resource across academic disciplines, in areas as diverse as understanding voter behavior, tracking social communication networks, and identifying sources and effects of pollution on human health. While manual data collection and review from public social media sites can provide some insight into the content of these sources, bulk access to data is preferred for more complex and deeper analysis into the content. A certain amount of data can be accessed dire...

  18. Preliminary Context Analysis of Community Informatics Social ...

    African Journals Online (AJOL)

    Preliminary context analysis is always part of the feasibility study phase in the development of information system for Community Development (CD) purposes. In this paper, a context model and a preliminary context analysis are presented for Social Network Web Application (SNWA) for CD in the Niger Delta region of ...

  19. Social Accountable Medical Education: A concept analysis.

    Science.gov (United States)

    Abdolmaleki, Mohammadreza; Yazdani, Shahram; Momeni, Sedigheh; Momtazmanesh, Nader

    2017-07-01

    Considering the pervasiveness of social accountable medical education concept around the world and the growing trend of literature in this regard as well as various interpretations made about this concept, we found it necessary to analyze the concept of social accountable medical education. In this study, the modified version of McKenna's approach to concept analysis was used to determine the concept, explain structures and substructures and determine the border concepts neighboring and against social accountability in medical education. By studying the selected sources,the components of the concept were obtained to identify it and express an analytic definition of social accountability in medical education system. Then, a model case with all attributes of the given concept and the contrary and related concepts were mentioned to determine the boundary between the main concept and auxiliary ones. According to the results of this study in the field of social accountability, the detailed and transparent analytical definition of social accountable medical education can be used in future studies as well as the function and evaluation of medical education system.

  20. Insights from triangulation of two purchase choice elicitation methods to predict social decision making in healthcare.

    Science.gov (United States)

    Whitty, Jennifer A; Rundle-Thiele, Sharyn R; Scuffham, Paul A

    2012-03-01

    Discrete choice experiments (DCEs) and the Juster scale are accepted methods for the prediction of individual purchase probabilities. Nevertheless, these methods have seldom been applied to a social decision-making context. To gain an overview of social decisions for a decision-making population through data triangulation, these two methods were used to understand purchase probability in a social decision-making context. We report an exploratory social decision-making study of pharmaceutical subsidy in Australia. A DCE and selected Juster scale profiles were presented to current and past members of the Australian Pharmaceutical Benefits Advisory Committee and its Economic Subcommittee. Across 66 observations derived from 11 respondents for 6 different pharmaceutical profiles, there was a small overall median difference of 0.024 in the predicted probability of public subsidy (p = 0.003), with the Juster scale predicting the higher likelihood. While consistency was observed at the extremes of the probability scale, the funding probability differed over the mid-range of profiles. There was larger variability in the DCE than Juster predictions within each individual respondent, suggesting the DCE is better able to discriminate between profiles. However, large variation was observed between individuals in the Juster scale but not DCE predictions. It is important to use multiple methods to obtain a complete picture of the probability of purchase or public subsidy in a social decision-making context until further research can elaborate on our findings. This exploratory analysis supports the suggestion that the mixed logit model, which was used for the DCE analysis, may fail to adequately account for preference heterogeneity in some contexts.

  1. Identifying the new Influencers in the Internet Era: Social Media and Social Network Analysis

    Directory of Open Access Journals (Sweden)

    MIGUEL DEL FRESNO GARCÍA

    2016-01-01

    Full Text Available Social media influencers (SMIs can be defined as a new type of independent actor who are able to shape audience attitudes through the use of social media channels in competition and coexistence with professional media. Being able to accurately identify SMIs is critical no matter what is being transmitted in a social system. Social Network Analysis (SNA has been recognized as a powerful tool for representing social network structures and information dissemination. SMIs can be identifi ed by their high-ranking position in a network as the most important or central nodes. The results reveal the existence of three different typologies of SMIs: disseminator, engager and leader. This methodology permits the optimization of resources to create effective online communication strategies.

  2. A Life-Cycle Analysis of Social Security with Housing

    OpenAIRE

    Chen, Kaiji

    2009-01-01

    This paper incorporates two features of housing in a life-cycle analysis of social security: housing as a durable good and housing market frictions. We find that with housing as a durable good unfunded social security substantially crowds out housing consumption throughout the life cycle. By contrast, aggregate non-durable consumption is higher when social security is present, although it is postponed until late in life. Moreover, in the presence of housing market frictions, social security l...

  3. A Social Psychological Model for Predicting Sexual Harassment.

    Science.gov (United States)

    Pryor, John B.; And Others

    1995-01-01

    Presents a Person X Situation (PXS) model of sexual harassment suggesting that sexually harassing behavior may be predicted from an analysis of social situational and personal factors. Research on sexual harassment proclivities in men is reviewed, and a profile of men who have a high a likelihood to sexually harass is discussed. Possible PXS…

  4. Regional Development and Social Indicators in Croatia

    OpenAIRE

    Željko Lovrin?evi?; Davor Mikuli?

    2012-01-01

    This report, Regional Development and Social Indicators in Croatia, provides a comprehensive profile of social and economic characteristics of Croatia's regions as well as profiling the Government s social transfers to households. Demographic and economic structure of Croatian economy is analyzed, as well as the process of secondary distribution of income in Croatia on the regional level. ...

  5. Empirical Analysis of Religiosity as Predictor of Social Media Addiction

    Directory of Open Access Journals (Sweden)

    Jamal J Almenayes

    2015-10-01

    Full Text Available This study sought to examine the dimensions of social media addiction and its relationship to religiosity.  To investigate the matter, the present research utilized a well-known Internet addiction scale and modified it to fit social media (Young, 1996.  Factor analysis of items generated by a sample of 1326 participants, three addiction factors were apparent.  These factors were later regressed on a scale of religiosity.  This scale contained a single factor based on factor analysis.  Results indicated that social media addiction had three factors; "Social Consequences", "Time Displacement" and "Compulsive feelings.  Religiosity, on the other hand, contained a single factor.  Both of these results were arrived at using factor analysis of their respective scales. The relationship between religiosity and social media addiction was then examined using linear regression.  The results indicated that only two of the addiction factors were significantly related to religiosity.  Future research should address the operationalization of the concept of religiosity to account for multiple dimensions.

  6. Integrating Entropy and Closed Frequent Pattern Mining for Social Network Modelling and Analysis

    Science.gov (United States)

    Adnan, Muhaimenul; Alhajj, Reda; Rokne, Jon

    The recent increase in the explicitly available social networks has attracted the attention of the research community to investigate how it would be possible to benefit from such a powerful model in producing effective solutions for problems in other domains where the social network is implicit; we argue that social networks do exist around us but the key issue is how to realize and analyze them. This chapter presents a novel approach for constructing a social network model by an integrated framework that first preparing the data to be analyzed and then applies entropy and frequent closed patterns mining for network construction. For a given problem, we first prepare the data by identifying items and transactions, which arc the basic ingredients for frequent closed patterns mining. Items arc main objects in the problem and a transaction is a set of items that could exist together at one time (e.g., items purchased in one visit to the supermarket). Transactions could be analyzed to discover frequent closed patterns using any of the well-known techniques. Frequent closed patterns have the advantage that they successfully grab the inherent information content of the dataset and is applicable to a broader set of domains. Entropies of the frequent closed patterns arc used to keep the dimensionality of the feature vectors to a reasonable size; it is a kind of feature reduction process. Finally, we analyze the dynamic behavior of the constructed social network. Experiments were conducted on a synthetic dataset and on the Enron corpus email dataset. The results presented in the chapter show that social networks extracted from a feature set as frequent closed patterns successfully carry the community structure information. Moreover, for the Enron email dataset, we present an analysis to dynamically indicate the deviations from each user's individual and community profile. These indications of deviations can be very useful to identify unusual events.

  7. Secondary neutral mass spectrometry depth profile analysis of silicides

    International Nuclear Information System (INIS)

    Beckmann, P.; Kopnarski, M.; Oechsner, H.

    1985-01-01

    The Direct Bombardment Mode (DBM) of Secondary Neutral Mass Spectrometry (SNMS) has been applied for depth profile analysis of two different multilayer systems containing metal silicides. Due to the extremely high depth resolution obtained with low energy SNMS structural details down to only a few atomic distances are detected. Stoichiometric information on internal oxides and implanted material is supplied by the high quantificability of SNMS. (Author)

  8. The phenomenon of social assistance in the humanities: a retrospective analysis

    Directory of Open Access Journals (Sweden)

    I. S. Lazarenko

    2016-08-01

    Full Text Available The article analyzes the phenomenon of social assistance in humanitarian schools. Such as: 1 Philosophy; 2 Cultural Studies; 3 Law; 3 Socio-pedagogical science. Retrospective analysis allowed revealing the research principles of social assistance analysis, functional features and differences of this phenomenon. Established that the theoretical basis of social assistance study incorporated in works of ancient philosophers (Socrates, Plato, Aristotle. Analyzed influence on the formation of social assistance scientific research by religious philosophers of the Middle Ages (F. Aquinas, A. Blessed. Deals the transformation of social assistance understanding from a part of society moral to forms of social interaction. Civilizational approach outlined in the cultural mainstream schools (B. Malinowski, C. Polanyi. It was determined that the cultural research traditions of social assistance understood this phenomena as a repeater of cultural heritage through the traditions of the community. Outlined scientific approach to social assistance in Law sciences. It was found that representatives of Socio-pedagogical and Political Science have used theoretical developments sociologists (M. Weber, J. Mead, H. Blumer, T. Parsons, R. Merton, E Giddens. Demonstrated that in Political Science social assistance acts as a functional tool for implementation of social policy. Characterized the role of social assistance within different models of social policy and its positions in state and international organization. Deals with the fundamental difference between the concepts of «social assistance» and «social work». Outlined limits the use of these concepts in humanitarian studies. The analysis allows us to formulate research strategies study the phenomenon of social assistance in modern society. In particular sociological perspective updated study of the phenomenon of social assistance. Actually, applied achievements of classic theory of social capital in the

  9. Load profiles analysis for electricity market

    Directory of Open Access Journals (Sweden)

    Radu Porumb

    2014-04-01

    Full Text Available In the wake of electric power system transition towards smart grids, and the adoption of the electric market schemes, electric utilities are facing the need of a better load profiles understanding for their customers. In this work, some key objectives were addresses, such as definition of the mathematical model for calculating the hourly energy specific, identification of the three target groups for users who have developed consumer profiles, definition of the two types of significant load and assessment of the impact of using consumer profiles on users.

  10. Behavior analysis and social constructionism: some points of contact and departure.

    Science.gov (United States)

    Roche, Bryan; Barnes-Holmes, Dermot

    2003-01-01

    Social constructionists occasionally single out behavior analysis as the field of psychology that most closely resembles the natural sciences in its commitment to empiricism, and accuses it of suffering from many of the limitations to science identified by the postmodernist movement (e.g., K. J. Gergen, 1985a; Soyland, 1994). Indeed, behavior analysis is a natural science in many respects. However, it also shares with social constructionism important epistemological features such as a rejection of mentalism, a functional-analytic approach to language, the use of interpretive methodologies, and a reflexive stance on analysis. The current paper outlines briefly the key tenets of the behavior-analytic and social constructionist perspectives before examining a number of commonalties between these approaches. The paper aims to show that far from being a nemesis to social constructionism, behavior analysis may in fact be its close ally.

  11. Burnout Syndrome Profiles among Teachers (Perfiles del Síndrome de Burnout entre Profesores

    Directory of Open Access Journals (Sweden)

    Sheila Gonçalves Câmara

    2017-12-01

    Full Text Available Burnout Syndrome (BS is a psychological reaction related to chronic occupational stress, both interpersonal and emotional. This study assessed three discriminant profiles of BS in teachers according to psychosocial factors. Profile 1 represents teachers with or without BS; Profile 2 represents teachers with BS or without BS in reference to the dimension guilt; and Profile 3 represents Profile 1 and Profile 2. The sample comprised 679 Brazilian primary school teachers. The instruments used were: sociodemographic data questionnaire; Spanish Burnout Inventory; and Battery of Psychosocial Risk Assessment to assess role ambiguity, social support, self-efficacy, autonomy, role conflict, and overload and intention to leave the profession. Differences between the groups were assessed using discriminant analysis. Results show that the variables that compose the discriminant profiles (Profile 1 and Profile 2 were intention to leave the profession, overload, role conflict, and role ambiguity, with self-efficacy discriminating teachers without BS in Profile 1. Profiles 1 and 2 were discriminated by two determinant factors: role conflict, and intention to leave the profession. The results suggest a need for interventions on psychosocial stressors to prevent burnout.

  12. Exploring the Peer Interaction Effects on Learning Achievement in a Social Learning Platform Based on Social Network Analysis

    Science.gov (United States)

    Lin, Yu-Tzu; Chen, Ming-Puu; Chang, Chia-Hu; Chang, Pu-Chen

    2017-01-01

    The benefits of social learning have been recognized by existing research. To explore knowledge distribution in social learning and its effects on learning achievement, we developed a social learning platform and explored students' behaviors of peer interactions by the proposed algorithms based on social network analysis. An empirical study was…

  13. Social network analysis of study environment

    Directory of Open Access Journals (Sweden)

    Blaženka Divjak

    2010-06-01

    Full Text Available Student working environment influences student learning and achievement level. In this respect social aspects of students’ formal and non-formal learning play special role in learning environment. The main research problem of this paper is to find out if students' academic performance influences their position in different students' social networks. Further, there is a need to identify other predictors of this position. In the process of problem solving we use the Social Network Analysis (SNA that is based on the data we collected from the students at the Faculty of Organization and Informatics, University of Zagreb. There are two data samples: in the basic sample N=27 and in the extended sample N=52. We collected data on social-demographic position, academic performance, learning and motivation styles, student status (full-time/part-time, attitudes towards individual and teamwork as well as informal cooperation. Afterwards five different networks (exchange of learning materials, teamwork, informal communication, basic and aggregated social network were constructed. These networks were analyzed with different metrics and the most important were betweenness, closeness and degree centrality. The main result is, firstly, that the position in a social network cannot be forecast only by academic success and, secondly, that part-time students tend to form separate groups that are poorly connected with full-time students. In general, position of a student in social networks in study environment can influence student learning as well as her/his future employability and therefore it is worthwhile to be investigated.

  14. Balancing the Quantitative and Qualitative Aspects of Social Network Analysis to Study Complex Social Systems

    OpenAIRE

    Schipper, Danny; Spekkink, Wouter

    2015-01-01

    Social Network Analysis (SNA) can be used to investigate complex social systems. SNA is typically applied as a quantitative method, which has important limitations. First, quantitative methods are capable of capturing the form of relationships (e.g. strength and frequency), but they are less suitable for capturing the content of relationships (e.g. interests and motivations). Second, while complex social systems are highly dynamic, the representations that SNA creates of such systems are ofte...

  15. Corporate social responsibility: A pharmaceutical analysis

    Directory of Open Access Journals (Sweden)

    D. J. Theron

    2005-12-01

    Full Text Available In the modern business environment organisations need to address two important aspects affecting their operations: the quality of management and the impact of their operations on the well-being of the society in which they operate. This dualism often results in economic, political and social dilemmas influencing the viability of organisations in general, and more specifically and recently, local and international pharmaceutical organisations operating in South Africa. This article considers the aspect of corporate social responsibility (CSR in general and attempts to identify the social-related issues impacting on the pharmaceutical industry by means of content analysis - a research technique for making replicable and valid inferences from data. It furthermore describes the re-action of pharmaceutical organisations when confronted with such social demands, and finally analyses the management of CSR against four criteria of CSR. The article confirms the importance of managers to manage CSR towards society in a proactive manner. It furthermore suggests that the "hard" factors of strategic management and financial performance should be balanced with "soft" social/people issues. It also recommends that the industry should consider - and if applicable - endorse the concept of Issues Management as an approach to the proactive management of CSR.

  16. The Effects of Profile Pictures and Friends' Comments on Social Network Site Users' Body Image and Adherence to the Norm.

    Science.gov (United States)

    Flynn, Mark A

    2016-04-01

    This study sought to explore the effects of exposure to Facebook body ideal profile pictures and norm conforming comments on users' body image. In addition, the social identity and self-categorization theoretical frameworks were used to explore users' endorsement of a body ideal norm. A mock Facebook page was used to conduct a pretest posttest 2 × 2 between-group web-based experiment that featured body ideal profile pictures (body ideal vs. no body) and body ideal comments (conforming vs. nonconforming). Five hundred and one participants completed the experiment and passed all manipulation checks. Participants viewed pictures and comments on the status page and were able to leave their own comment before exiting. Results demonstrated no significant main effects. However, predispositional body satisfaction significantly moderated the relationship between body ideal pictures and body satisfaction. Most comments supported the body ideal norm. However, in support of self-categorization theory, participants exposed to nonconforming comments made nonconforming comments themselves significantly more than those exposed to conforming comments. The findings demonstrated the importance of continued body image research in social network sites, as well as the potential for self-categorization theory to guide such research.

  17. Crawling Facebook for Social Network Analysis Purposes

    OpenAIRE

    Catanese, Salvatore A.; De Meo, Pasquale; Ferrara, Emilio; Fiumara, Giacomo; Provetti, Alessandro

    2011-01-01

    We describe our work in the collection and analysis of massive data describing the connections between participants to online social networks. Alternative approaches to social network data collection are defined and evaluated in practice, against the popular Facebook Web site. Thanks to our ad-hoc, privacy-compliant crawlers, two large samples, comprising millions of connections, have been collected; the data is anonymous and organized as an undirected graph. We describe a set of tools that w...

  18. Social power and opinion formation in complex networks

    Science.gov (United States)

    Jalili, Mahdi

    2013-02-01

    In this paper we investigate the effects of social power on the evolution of opinions in model networks as well as in a number of real social networks. A continuous opinion formation model is considered and the analysis is performed through numerical simulation. Social power is given to a proportion of agents selected either randomly or based on their degrees. As artificial network structures, we consider scale-free networks constructed through preferential attachment and Watts-Strogatz networks. Numerical simulations show that scale-free networks with degree-based social power on the hub nodes have an optimal case where the largest number of the nodes reaches a consensus. However, given power to a random selection of nodes could not improve consensus properties. Introducing social power in Watts-Strogatz networks could not significantly change the consensus profile.

  19. Is a profile in social software a learning e-portfolio? If not, could any benefits be found from linking the two?

    Directory of Open Access Journals (Sweden)

    Lise Agerbæk

    2008-10-01

    Full Text Available This article compares learning e-portfolios with profiles in social software environments (like Facebook, MySpace and LinkedIn. The similarities are that both are forums for self representation. The difference between the two is that the self will be represented for different purposes. In the social profile the purpose is to be one among a crowd (whether this crowd is a group of friends or a group of professionals. You can express yourself only through the ways the software deems important. In e-portfolios the purpose is to “show and tell” competences and growth – and to express this in free text and visual fashioning. This is difficult in existing social software. In an e-portfolio the way you represent yourself shows a communicative competence. Should educational institutions then ignore or even ban the use of profiles? The article suggests a way in which they might benefit from a double strategy: Firstly through employment of a programme of learning e-portfolios (Qvortrup, Lund, Ellmin to enable and empower the pupils/students as learners. In the literature on e-portfolios one of the main conclusions is that reflecting on learning enables the learner to understand and appreciate own competences. Secondly, the strategy is to enable the student to benefit from social software ability to establish relations – and to focus on the competence of creating and maintaining professional relationships. This strategy is beneficial because it addresses a problem often encountered when employing a program of e-portfolios. The students feel no “inner need” to fill them out. They do not view the e-portfolio as a means of persuading their readers – possibly because they are, through the e-portfolio, talking to an unknown audience. The e-portfolio is here discussed as rhetorical discourse focusing of Lhoyd Bitzer’s concept of the rhetorical situation. The one thing lacking in establishing a true rhetorical situation in Bitzer’s sense is the

  20. Why social network analysis is important to Air Force applications

    Science.gov (United States)

    Havig, Paul R.; McIntire, John P.; Geiselman, Eric; Mohd-Zaid, Fairul

    2012-06-01

    Social network analysis is a powerful tool used to help analysts discover relationships amongst groups of people as well as individuals. It is the mathematics behind such social networks as Facebook and MySpace. These networks alone cause a huge amount of data to be generated and the issue is only compounded once one adds in other electronic media such as e-mails and twitter. In this paper we outline the basics of social network analysis and how it may be used in current and future Air Force applications.

  1. [The construction of life profiles by social class in Chile].

    Science.gov (United States)

    Torres, C

    1989-11-01

    The author develops a series of life profiles for men and women living in the Greater Santiago area of Chile over the past 25 years. These profiles, which are based on the concept of life expectancy at birth, illustrate the length of time individuals take to go through such life cycle stages as education, employment, unemployment, and retirement. The concept is used to analyze changes in the life profile over time and how these differ by class. (SUMMARY IN ENG)

  2. Fractal Analysis of Rock Joint Profiles

    Science.gov (United States)

    Audy, Ondřej; Ficker, Tomáš

    2017-10-01

    Surface reliefs of rock joints are analyzed in geotechnics when shear strength of rocky slopes is estimated. The rock joint profiles actually are self-affine fractal curves and computations of their fractal dimensions require special methods. Many papers devoted to the fractal properties of these profiles were published in the past but only a few of those papers employed a convenient computational method that would have guaranteed a sound value of that dimension. As a consequence, anomalously low dimensions were presented. This contribution deals with two computational modifications that lead to sound fractal dimensions of the self-affine rock joint profiles. These are the modified box-counting method and the modified yard-stick method sometimes called the compass method. Both these methods are frequently applied to self-similar fractal curves but the self-affine profile curves due to their self-affine nature require modified computational procedures implemented in computer programs.

  3. Cultural competence and social relationships: a social network analysis.

    Science.gov (United States)

    Dauvrin, M; Lorant, V

    2017-06-01

    This study investigated the role of social relationships in the sharing of cultural competence by testing two hypotheses: cultural competence is a socially shared behaviour; and central healthcare professionals are more culturally competent than non-central healthcare professionals. Sustaining cultural competence in healthcare services relies on the assumption that being culturally competent is a socially shared behaviour among health professionals. This assumption has never been tested. Organizational aspects surrounding cultural competence are poorly considered. This therefore leads to a heterogeneous implementation of cultural competence - especially in continental Europe. We carried out a social network analysis in 24 Belgian inpatient and outpatient health services. All healthcare professionals (ego) were requested to fill in a questionnaire (Survey on social relationships of health care professionals) on their level of cultural competence and to identify their professional relationships (alter). We fitted regression models to assess whether (1) at the dyadic level, ego cultural competence was associated with alter cultural competence, and (2) health professionals of greater centrality had greater cultural competence. At the dyadic level, no significant associations were found between ego cultural competence and alter cultural competence, with the exception of subjective exposure to intercultural situations. No significant associations were found between centrality and cultural competence, except for subjective exposure to intercultural situations. Being culturally competent is not a shared behaviour among health professionals. The most central healthcare professionals are not more culturally competent than less central health professionals. Culturally competent health care is not yet a norm in health services. Health care and training authorities should either make cultural competent health care a licensing criteria or reward culturally competent health care

  4. Extending Impact Analysis in Government Social Media Research

    DEFF Research Database (Denmark)

    Medaglia, Rony; Zheng, Lei

    2017-01-01

    of this phenomenon, and falls short of investigating the impacts that these dimensions have on each other. Drawing on a revised framework for classifying existing social media research foci in the categories of management, context, user behavior, user characteristics, platform properties, and effects, we present......The use of social media by governments is a complex phenomenon that touches upon multiple dimensions, and that involves a wide array of relationships between these dimensions. Existing empirical research on government social media, however, is still mostly focusing on describing isolated aspects...... five empirical cases to illustrate impacts between dimensions of government social media. The empirical findings from the cases extend impact analysis beyond the existing foci, and enable us to propose a research agenda for future research on impacts in government social media....

  5. Ultra-low energy Ar+ beam applied for SIMS depth profile analysis of layered nanostructures

    International Nuclear Information System (INIS)

    Konarski, P.; Mierzejewska, A.; Iwanejko, I.

    2001-01-01

    Secondary ion mass spectrometry (SIMS) depth profile analyses of flat layered nanostructures: 10 nm Ta 2 O 3 /Ta and 20 nm (10 x B 4 C/Mo)/Si as well as microparticles of core (illite) - shell (rutile) structure, performed with the use of ultra-low energy ion beam (180-880 eV, Ar + ), are presented. The profiles were obtained using 'mesa' scanning technique and also sample rotation. Depth profile resolution below 1 nanometer was obtained for flat nanostructures. Presented experimental results are compared with Monte Carlo sputtering simulations of analysed structures. A method of finding beam energy, optimal for the best resolution SIMS depth profile analysis, is suggested. (author)

  6. Social Accountable Medical Education: A concept analysis

    Science.gov (United States)

    ABDOLMALEKI, MOHAMMADREZA; YAZDANI, SHAHRAM; MOMENI, SEDIGHEH; MOMTAZMANESH, NADER

    2017-01-01

    Introduction: Considering the pervasiveness of social accountable medical education concept around the world and the growing trend of literature in this regard as well as various interpretations made about this concept, we found it necessary to analyze the concept of social accountable medical education. Methods: In this study, the modified version of McKenna’s approach to concept analysis was used to determine the concept, explain structures and substructures and determine the border concepts neighboring and against social accountability in medical education. Results: By studying the selected sources,the components of the concept were obtained to identify it and express an analytic definition of social accountability in medical education system. Then, a model case with all attributes of the given concept and the contrary and related concepts were mentioned to determine the boundary between the main concept and auxiliary ones. Conclusion: According to the results of this study in the field of social accountability, the detailed and transparent analytical definition of social accountable medical education can be used in future studies as well as the function and evaluation of medical education system. PMID:28761884

  7. Choosing face: The curse of self in profile image selection.

    Science.gov (United States)

    White, David; Sutherland, Clare A M; Burton, Amy L

    2017-01-01

    People draw automatic social inferences from photos of unfamiliar faces and these first impressions are associated with important real-world outcomes. Here we examine the effect of selecting online profile images on first impressions. We model the process of profile image selection by asking participants to indicate the likelihood that images of their own face ("self-selection") and of an unfamiliar face ("other-selection") would be used as profile images on key social networking sites. Across two large Internet-based studies (n = 610), in line with predictions, image selections accentuated favorable social impressions and these impressions were aligned to the social context of the networking sites. However, contrary to predictions based on people's general expertise in self-presentation, other-selected images conferred more favorable impressions than self-selected images. We conclude that people make suboptimal choices when selecting their own profile pictures, such that self-perception places important limits on facial first impressions formed by others. These results underscore the dynamic nature of person perception in real-world contexts.

  8. [Community health agents: profile and education].

    Science.gov (United States)

    Marzari, Carla Kowalski; Junges, José Roque; Selli, Lucilda

    2011-01-01

    This research discusses the profile and education of the community health agents. There is no clarity about the kind of professional needed and the appropriate training to the fulfillment of the function. The research is a case study with exploratory methodology and qualitative approach. The data was collected with a focused group, formed by ten agents, intentional selected from those with more time in service in Family Health Strategy teams from the municipality of Santa Maria, Rio Grande do Sul State. The discussions were recorded and transcribed by the researcher. The data was interpreted by content analysis. The results pointed to some important questions concerning the identity of the community health agents: integration on the health team, insertion in the community, profile and education. The profile which emerges from the research, is not different from the one proposed by the Ministry of Health. However, the difference is the professionalization, an initiative assumed by the agent, guided by reality, which he faces in his activity. The gaps, perceived in his formation, cause the agent to construct his professional identity, determined more by the technical aspect of the scientific knowledge than by his social competence as a community agent.

  9. Self-presentation in scholarly profiles: Characteristics of images and perceptions of professionalism and attractiveness on academic social networking sites

    OpenAIRE

    Tsou, Andrew; Bowman, Timothy D.; Sugimoto, Thomas; Lariviere, Vincent; Sugimoto, Cassidy R.

    2016-01-01

    Online self-presentation is of increasing importance in modern life, from establishing and maintaining personal relationships to forging professional identities. Academic scholars are no exception, and a host of social networking platforms designed specifically for scholars abound. This study used Amazon’s Mechanical Turk service to code 10,500 profile pictures used by scholars on three platforms — Mendeley, Microsoft Academic Search, and Google Scholar — in order to determine how academics a...

  10. Perfil dos internos no sistema prisional do Rio de Janeiro: especificidades de gênero no processo de exclusão social Profile of prisoners in the Rio de Janeiro prison system: specifities of gender in the social exclusion process

    Directory of Open Access Journals (Sweden)

    Márcia Lazaro de Carvalho

    2006-06-01

    Full Text Available O estudo do perfil sociodemográfico, história penal, uso de drogas e doenças sexualmente transmissíveis da população carcerária do Estado do Rio de Janeiro, em 1998, permitiu conhecer diferentes características da população prisional por sexo. O objetivo deste estudo é identificar se o perfil de exclusão social a que essa população é submetida difere quanto ao sexo. Foram entrevistados 2.039 presos por estudo seccional, e utilizada a razão de prevalência como medida de associação entre sexo e as demais variáveis. A análise multivariada, através de regressão logística, compõe um modelo final de explicação dessas diferenças. A população é jovem, de baixa escolaridade, e apresenta ruptura de vínculos da vida social em várias dimensões para ambos os sexos. Fatores mais fortemente associados ao sexo masculino: visita íntima na prisão, estar preso por sete anos ou mais, ser casado, condenação por roubo, ter ainda três anos ou mais a cumprir de pena e uso de maconha antes de ser preso; para o sexo feminino: doença sexualmente transmissível, ser viúva, estrangeira, usar tranqüilizante na prisão, ter visitado alguém na prisão antes de ser presa e ter 35 anos ou mais. A análise dos dados permitiu concluir que embora esses homens e mulheres sejam igualmente excluídos da "vida social" muito antes e também depois da prisão, existem algumas características que os diferenciam nesse processo de injustiça social.The study of the social and demographic profile, criminal records, drug use and sexually transmitted diseases of the prison population of Rio de Janeiro State in 1998 offered a view of different aspects of this population by gender. The objective of this study is to identify if the profile of social exclusion this population is submitted differs by gender. Through a sectional study, 2,039 prisoners were interviewed, using the prevalence ratio as an association measure between gender and the other

  11. Toward a Stakeholder Perspective on Social Stability Risk of Large Hydraulic Engineering Projects in China: A Social Network Analysis

    Directory of Open Access Journals (Sweden)

    Zhengqi He

    2018-04-01

    Full Text Available In China, large hydraulic engineering projects have made a great contribution to social economic development; at the same time, they also lead to social risks that affect social stability. The pluralism of stakeholders in large hydraulic engineering projects and the complex interrelationship among stakeholders are the important factors affecting social stability risk. Previous studies of social stability risk have mainly focused on risk identification and risk assessment, without considering the relationships among stakeholders and their linkages of risks. For large hydraulic engineering projects, this paper investigated the relevant risk factors and their interrelationships through a literature review and interviews that represented stakeholder perspectives. The key social stability risk factors were identified based on social network analysis. A multi-channel project financial system, a perfect interest compensation mechanism, an efficient prevention mechanism of group events, and a complete project schedule control system were proposed to mitigate the social stability risks. This study combined stakeholder management with risk management by using social network analysis, providing reference for the social stability risk management of large engineering projects in China.

  12. Positioning Theory and Discourse Analysis: Some Tools for Social Interaction Analysis

    Directory of Open Access Journals (Sweden)

    Francisco Tirado

    2007-05-01

    Full Text Available This article outlines positioning theory as a discursive analysis of interaction, focusing on the topic of conflict. Moreover, said theory is applied to a new work environment for the social sciences: virtual spaces. The analysis is organized in the following way. First, the major key psychosocial issues which define the topic of conflict are reviewed. Then, virtual environments are presented as a new work space for the social sciences. Thirdly, a synthesis of positioning theory and its FOUCAULTian legacy is conducted, while appreciating its particular appropriateness for analyzing conflictive interaction in virtual environments. An empiric case is then presented. This consists of an analysis of interactive sequences within a specific virtual environment: the Universitat Oberta de Catalunya (UOC Humanitats i Filologia Catalana studies forum. Through positioning theory, the production and effects that a conflictive interaction sequence has on the community in which it is produced are understood and explained. URN: urn:nbn:de:0114-fqs0702317

  13. SOCIAL ENVIRONMENTAL RISK AND PROTECTION: A TYPOLOGY WITH IMPLICATIONS FOR PRACTICE IN ELEMENTARY SCHOOLS.

    Science.gov (United States)

    Bowen, Natasha K; Lee, Jung-Sook; Weller, Bridget E

    2007-01-01

    Social environmental assessments can play a critical role in prevention planning in schools. The purpose of this study was to describe the importance of conducting social environmental assessments, demonstrate that complex social environmental data can be simplified into a useful and valid typology, and illustrate how the typology can guide prevention planning in schools. Data collected from 532 3(rd) through 5(th) graders using the Elementary School Success Profile were analyzed in the study. A latent profile analysis based on eight child-report social environmental dimensions identified five patterns of social environmental risk and protection. The classes were labeled High Protection, Moderate Protection, Moderate Protection/Peer Risk, Little Protection/Family Risk, and No Protection//School Risk. Class membership was significantly associated with measures of well-being, social behavior and academic performance. The article illustrates how the typology can be used to guide decisions about who to target in school-based preventions, which features of the social environment to target, and how much change to seek. Information is provided about online resources for selecting prevention strategies once these decisions are made.

  14. The correlation of social support with mental health: A meta-analysis.

    Science.gov (United States)

    Harandi, Tayebeh Fasihi; Taghinasab, Maryam Mohammad; Nayeri, Tayebeh Dehghan

    2017-09-01

    Social support is an important factor that can affect mental health. In recent decades, many studies have been done on the impact of social support on mental health. The purpose of the present study is to investigate the effect size of the relationship between social support and mental health in studies in Iran. This meta-analysis was carried out in studies that were performed from 1996 through 2015. Databases included SID and Magiran, the comprehensive portal of human sciences, Noor specialized magazine databases, IRANDOC, Proquest, PubMed, Scopus, ERIC, Iranmedex and Google Scholar. The keywords used to search these websites included "mental health or general health," and "Iran" and "social support." In total, 64 studies had inclusion criteria meta-analysis. In order to collect data used from a meta-analysis worksheet that was made by the researcher and for data analysis software, CMA-2 was used. The mean of effect size of the 64 studies in the fixed-effect model and random-effect model was obtained respectively as 0.356 and 0.330, which indicated the moderate effect size of social support on mental health. The studies did not have publication bias, and enjoyed a heterogeneous effect size. The target population and social support questionnaire were moderator variables, but sex, sampling method, and mental health questionnaire were not moderator variables. Regarding relatively high effect size of the correlation between social support and mental health, it is necessary to predispose higher social support, especially for women, the elderly, patients, workers, and students.

  15. Social Media Marketing – Analysis of Online presence of Slovak banks

    Directory of Open Access Journals (Sweden)

    Tomas Feige

    2013-07-01

    Full Text Available Paper focuses on areas of Social Media Marketing and Social Network Analysis. It describes case-study of joint university-business project of analysis of online presence of Slovak banks which took place in cooperation with IBM CZ in early 2012. This project was aimed at general analysis of online presence of Slovak banks, uncovering the structure of various channels and forms of bank-customer interaction and identifying key actors in banks social networks along with general sentiment and climate. Paper gives a general overview of the project and its challenges and presents high-level results.

  16. Regression analysis for the social sciences

    CERN Document Server

    Gordon, Rachel A

    2010-01-01

    The book provides graduate students in the social sciences with the basic skills that they need to estimate, interpret, present, and publish basic regression models using contemporary standards. Key features of the book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature. thorough integration of teaching statistical theory with teaching data processing and analysis. teaching of both SAS and Stata "side-by-side" and use of chapter exercises in which students practice programming and interpretation on the same data set and course exercises in which students can choose their own research questions and data set.

  17. A review of social skills deficits in individuals with fetal alcohol spectrum disorders and prenatal alcohol exposure: profiles, mechanisms, and interventions.

    Science.gov (United States)

    Kully-Martens, Katrina; Denys, Kennedy; Treit, Sarah; Tamana, Sukhpreet; Rasmussen, Carmen

    2012-04-01

    Individuals gestationally exposed to alcohol experience a multitude of sociobehavioral impairments, including deficits in adaptive behaviors such as social skills. The goal of this report is to critically review research on social skills deficits in individuals with prenatal alcohol exposure, including individuals with and without fetal alcohol spectrum disorders (FASD). Social deficits are found in alcohol-exposed children, adults, and adolescents with and without a clinical presentation. These deficits tend to persist across the lifespan and may even worsen with age. Social deficits in this population appear to be independent of facial dysmorphology and IQ and are worse than can be predicted based on atypical behaviors alone. Abnormalities in neurobiology, executive function, sensory processing, and communication likely interact with contextual influences to produce the range of social deficits observed in FASD. Future investigations should strive to reconcile the relationship between social skills deficits in FASD and variables such as gender, age, cognitive profile, and structural and functional brain impairments to enable better characterization of the deficits observed in this population, which will enhance diagnosis and improve remediation. Copyright © 2011 by the Research Society on Alcoholism.

  18. Forensic analysis of social networking application on iOS devices

    Science.gov (United States)

    Zhang, Shuhui; Wang, Lianhai

    2013-12-01

    The increased use of social networking application on iPhone and iPad make these devices a goldmine for forensic investigators. Besides, QQ, Wechat, Sina Weibo and skype applications are very popular in China and didn't draw attention to researchers. These social networking applications are used not only on computers, but also mobile phones and tablets. This paper focuses on conducting forensic analysis on these four social networking applications on iPhone and iPad devices. The tests consisted of installing the social networking applications on each device, conducting common user activities through each application and correlation analysis with other activities. Advices to the forensic investigators are also given. It could help the investigators to describe the crime behavior and reconstruct the crime venue.

  19. Personality perception based on LinkedIn profiles

    NARCIS (Netherlands)

    van de Ven, Niels; Bogaert, Aniek; Serlie, Alec; Brandt, Mark; Denissen, Jaap

    2017-01-01

    Purpose. Job-related social networking websites (e.g., LinkedIn) are often used in the recruitment process because the profiles contain valuable information such as education level and work experience. We investigated whether people can accurately infer a profile owner’s self-rated personality

  20. Discourse analysis and social constructionism.

    Science.gov (United States)

    White, Robert

    2004-01-01

    Discourse analysis (DA) is underpinned by a social constructionist orientation to knowledge. Social constructionism rests on the philosophical assumptions that multiple versions of the world are legitimate; that texts are open to multiple readings; and that language is non-representational. As social constructionism is relativistic, the status of 'evidence' generated by DA is questionable from more traditional research perspectives. On a common-sense level, people obviously construct meaning in relation to their lives. Thus, DA can help us to examine constructions of meaning in relation to nursing care. Equally the discourse analyst constructs one possible meaning in relation to a phenomenon that may compete with other versions. Multiplicity does not necessarily entail anarchy and competing versions prevent authoritarianism and loss of freedom. However, judgements have to be made about competing versions, for example, by assessing the level of 'facticity', or referring to the ethics embedded in the cultural context. In this paper, Bob White discusses DA as a form of qualitative research that offers promise for nursing research. Subsequent papers will examine the methodology and methods of DA and its application to nursing research.

  1. Discourse analysis and social constructionism.

    Science.gov (United States)

    White, Robert

    2004-10-01

    Discourse analysis (DA) is underpinned by a social constructionist orientation to knowledge. Social constructionism rests on the philosophical assumptions that multiple versions of the world are legitimate; that texts are open to multiple readings; and that language is non-representational. As social constructionism is relativistic, the status of 'evidence' generated by DA is questionable from more traditional research perspectives. On a common-sense level, people obviously construct meaning in relation to their lives. Thus, DA can help us to examine constructions of meaning in relation to nursing care. Equally, the discourse analyst constructs one possible meaning in relation to a phenomenon that may compete with other versions. Multiplicity does not necessarily entail anarchy, and competing versions prevent authoritarianism and loss of freedom. However, judgements have to be made about competing versions, for example, by assessing the level of 'facticity', or referring to the ethics embedded in the cultural context. In this paper, Bob White discusses DA as a form of qualitative research that offers promise for nursing research. Subsequent papers will examine the methodology and methods of DA and its application to nursing research.

  2. Feminist Policy Analysis: Expanding Traditional Social Work Methods

    Science.gov (United States)

    Kanenberg, Heather

    2013-01-01

    In an effort to move the methodology of policy analysis beyond the traditional and artificial position of being objective and value-free, this article is a call to those working and teaching in social work to consider a feminist policy analysis lens. A review of standard policy analysis models is presented alongside feminist models. Such a…

  3. Pro-eating disorder communities on social networking sites: a content analysis.

    Science.gov (United States)

    Juarascio, Adrienne S; Shoaib, Amber; Timko, C Alix

    2010-01-01

    The purpose of this study was to assess the number of pro-ana groups on social networking sites and to analyze their content. A general inductive approach was used to analyze the content. Two main themes emerged from the content analysis: social support and eating disorder specific content. Themes were similar across all groups; however, a linguistic analysis indicated differences between groups on the two different networking sites. There was an absence of content typically found on Internet sites. Pro-ana groups on social networking sites are focused on social interactions, and lack eating disorder specific content found on Internet sites.

  4. Analysis of the social network development of a virtual community for Australian intensive care professionals.

    Science.gov (United States)

    Rolls, Kaye Denise; Hansen, Margaret; Jackson, Debra; Elliott, Doug

    2014-11-01

    Social media platforms can create virtual communities, enabling healthcare professionals to network with a broad range of colleagues and facilitate knowledge exchange. In 2003, an Australian state health department established an intensive care mailing list to address the professional isolation experienced by senior intensive care nurses. This article describes the social network created within this virtual community by examining how the membership profile evolved from 2003 to 2009. A retrospective descriptive design was used. The data source was a deidentified member database. Since 2003, 1340 healthcare professionals subscribed to the virtual community with 78% of these (n = 1042) still members at the end of 2009. The membership profile has evolved from a single-state nurse-specific network to an Australia-wide multidisciplinary and multiorganizational intensive care network. The uptake and retention of membership by intensive care clinicians indicated that they appeared to value involvement in this virtual community. For healthcare organizations, a virtual community may be a communications option for minimizing professional and organizational barriers and promoting knowledge flow. Further research is, however, required to demonstrate a link between these broader social networks, enabling the exchange of knowledge and improved patient outcomes.

  5. Social and Gender Analysis in Natural Resource Management ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    2006-01-01

    Jan 1, 2006 ... ... processes concerning the access, use, and management of natural resources. ... English · Français ... Social and Gender Analysis in Natural Resource Management: Learning Studies and Lessons from Asia ... gender analysis, including questions of class, caste, and ethnicity, into their everyday work.

  6. Meta-Analysis of Social Cognition in Mild Cognitive Impairment.

    Science.gov (United States)

    Bora, Emre; Yener, Görsev G

    2017-07-01

    Social cognitive abilities are impaired in Alzheimer disease and other dementias. Recent studies suggested that social cognitive abilities might be also impaired in mild cognitive impairment (MCI). Current meta-analysis aimed to summarize available evidence for deficits in theory of mind (ToM) and emotion recognition in MCI. In this meta-analysis of 17 studies, facial emotion recognition and ToM performances of 513 individuals with MCI and 693 healthy controls were compared. Mild cognitive impairment was associated with significant impairments falling in the medium effect sizes range in ToM ( d = 0.63) and facial emotion recognition ( d = 0.58). Among individual emotions, recognition of fear and sadness were particularly impaired. There were no significant between-group differences in recognition of disgust, happiness, and surprise. Social cognitive deficits were more severe in multidomain MCI. There is a need for longitudinal studies investigating the potential role of social cognitive impairment in predicting conversion to dementia.

  7. Profiling School Shooters: Automatic Text-Based Analysis

    Directory of Open Access Journals (Sweden)

    Yair eNeuman

    2015-06-01

    Full Text Available School shooters present a challenge to both forensic psychiatry and law enforcement agencies. The relatively small number of school shooters, their various charateristics, and the lack of in-depth analysis of all of the shooters prior to the shooting add complexity to our understanding of this problem. In this short paper, we introduce a new methodology for automatically profiling school shooters. The methodology involves automatic analysis of texts and the production of several measures relevant for the identification of the shooters. Comparing texts written by six school shooters to 6056 texts written by a comparison group of male subjects, we found that the shooters' texts scored significantly higher on the Narcissistic Personality dimension as well as on the Humilated and Revengeful dimensions. Using a ranking/priorization procedure, similar to the one used for the automatic identification of sexual predators, we provide support for the validity and relevance of the proposed methodology.

  8. GronUP: Groningen User Profiling : Notebook for PAN at CLEF 2016

    NARCIS (Netherlands)

    Busger op Vollenbroek, Mart; Carlotto, Talvany; Kreutz, Tim; Medvedeva, Masha; Pool, Chris; Bjerva, Johannes; Haagsma, Hessel; Nissim, Malvina; Balog, Krisztian; Cappellato, Linda; Ferro, Nicola; Macdonald, Craig

    We trained an SVM model on tweets to perform user profiling, in terms of gender and age, on non-Twitter social media data. The system exploits features that we deemed appropriate to profile authors on social media, and that do not characterise too closely the specific usage of Twitter. Our system

  9. The social impacts of dams: A new framework for scholarly analysis

    International Nuclear Information System (INIS)

    Kirchherr, Julian; Charles, Katrina J.

    2016-01-01

    No commonly used framework exists in the scholarly study of the social impacts of dams. This hinders comparisons of analyses and thus the accumulation of knowledge. The aim of this paper is to unify scholarly understanding of dams' social impacts via the analysis and aggregation of the various frameworks currently used in the scholarly literature. For this purpose, we have systematically analyzed and aggregated 27 frameworks employed by academics analyzing dams' social impacts (found in a set of 217 articles). A key finding of the analysis is that currently used frameworks are often not specific to dams and thus omit key impacts associated with them. The result of our analysis and aggregation is a new framework for scholarly analysis (which we call ‘matrix framework’) specifically on dams' social impacts, with space, time and value as its key dimensions as well as infrastructure, community and livelihood as its key components. Building on the scholarly understanding of this topic enables us to conceptualize the inherently complex and multidimensional issues of dams' social impacts in a holistic manner. If commonly employed in academia (and possibly in practice), this framework would enable more transparent assessment and comparison of projects.

  10. Social sciences via network analysis and computation

    CERN Document Server

    Kanduc, Tadej

    2015-01-01

    In recent years information and communication technologies have gained significant importance in the social sciences. Because there is such rapid growth of knowledge, methods and computer infrastructure, research can now seamlessly connect interdisciplinary fields such as business process management, data processing and mathematics. This study presents some of the latest results, practices and state-of-the-art approaches in network analysis, machine learning, data mining, data clustering and classifications in the contents of social sciences. It also covers various real-life examples such as t

  11. Semantic Sentiment Analysis in Arabic Social Media

    Directory of Open Access Journals (Sweden)

    Samir Tartir

    2017-04-01

    Full Text Available Social media is a huge source of information. And is increasingly being used by governments, companies, and marketers to understand how the crowd thinks. Sentiment analysis aims to determine the attitudes of a group of people that are using one or more social media platforms with respect to a certain topic. In this paper, we propose a semantic approach to discover user attitudes and business insights from social media in Arabic, both standard and dialects. We also introduce the first version of our Arabic Sentiment Ontology (ASO that contains different words that express feelings and how strongly these words express these feelings. We then show the usability of our approach in classifying different Twitter feeds on different topics.

  12. A critical Social Work project

    Directory of Open Access Journals (Sweden)

    Carlos Montaño

    2006-04-01

    Full Text Available Contemporary social transformations, operated by the neoliberal program under the command of financial capital, bring new challenges to the group of citizens and men and women who live by the sale of their labor power. Social workers, individually and collectively, are not separate from this reality. The profession was characterized by its confrontation with these challenges and its questioning and analysis of its role in society, in its attempt to assume more critical profiles and commitments to the interests of workers and the subaltern sectors. An example of this is the “Reconceptualization Movement” and the later attempt to define na “Alternative Social Service” concerned with the meaning of its practice, with the process of critical knowledge, with a criticism of capitalism and its situations of social injustice. The current challenges include overcoming earlier weaknesses, collectively constructing an ethicalpolitical professional project that can competently and committedly confront, at the heart of progressive social forces, the conditions in which workers live (with or without employment as well as other subaltern populations.

  13. Social Analysis Systems (SAS2) - Phase III

    International Development Research Centre (IDRC) Digital Library (Canada)

    Scaling Up the International Impact of Action Research : Social Analysis ... up the international impact of action research : SAS phase 3; final technical report ... 000 Canadians abroad to work at the local level on various development issues.

  14. Assessing the Social Acceptability of the Functional Analysis of Problem Behavior

    Science.gov (United States)

    Langthorne, Paul; McGill, Peter

    2011-01-01

    Although the clinical utility of the functional analysis is well established, its social acceptability has received minimal attention. The current study assessed the social acceptability of functional analysis procedures among 10 parents and 3 teachers of children who had recently received functional analyses. Participants completed a 9-item…

  15. Profiles of social networking sites users in the Netherlands

    NARCIS (Netherlands)

    Constantinides, Efthymios; Alarcón del Amo, Maria del Carmen; Lorenzo Romero, Carlota

    2010-01-01

    Online social networking has become a reality and integral part of the daily personal, social and business life. The extraordinary increase of the user numbers of Social Networking Sites (SNS) and the rampant creation of online communities presents businesses with many challenges and opportunities.

  16. A survey of social media data analysis for physical activity surveillance.

    Science.gov (United States)

    Liu, Sam; Young, Sean D

    2018-07-01

    Social media data can provide valuable information regarding people's behaviors and health outcomes. Previous studies have shown that social media data can be extracted to monitor and predict infectious disease outbreaks. These same approaches can be applied to other fields including physical activity research and forensic science. Social media data have the potential to provide real-time monitoring and prediction of physical activity level in a given region. This tool can be valuable to public health organizations as it can overcome the time lag in the reporting of physical activity epidemiology data faced by traditional research methods (e.g. surveys, observational studies). As a result, this tool could help public health organizations better mobilize and target physical activity interventions. The first part of this paper aims to describe current approaches (e.g. topic modeling, sentiment analysis and social network analysis) that could be used to analyze social media data to provide real-time monitoring of physical activity level. The second aim of this paper was to discuss ways to apply social media analysis to other fields such as forensic sciences and provide recommendations to further social media research. Copyright © 2016 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.

  17. An analysis of reading profiles of first-year students at Potchefstroom ...

    African Journals Online (AJOL)

    An analysis of reading profiles of first-year students at Potchefstroom University: a cross-sectional study and a case study. ... South African Journal of Education ... that these students experienced problems across all aspects of the reading process (i.e. vocabulary, fluency, reading comprehension, and reading strategy use).

  18. Social phenomena from data analysis to models

    CERN Document Server

    Perra, Nicola

    2015-01-01

    This book focuses on the new possibilities and approaches to social modeling currently being made possible by an unprecedented variety of datasets generated by our interactions with modern technologies. This area has witnessed a veritable explosion of activity over the last few years, yielding many interesting and useful results. Our aim is to provide an overview of the state of the art in this area of research, merging an extremely heterogeneous array of datasets and models. Social Phenomena: From Data Analysis to Models is divided into two parts. Part I deals with modeling social behavior under normal conditions: How we live, travel, collaborate and interact with each other in our daily lives. Part II deals with societal behavior under exceptional conditions: Protests, armed insurgencies, terrorist attacks, and reactions to infectious diseases. This book offers an overview of one of the most fertile emerging fields bringing together practitioners from scientific communities as diverse as social sciences, p...

  19. Meta-analysis of social cognition in amyotrophic lateral sclerosis.

    Science.gov (United States)

    Bora, Emre

    2017-03-01

    Amyotrophic lateral sclerosis (ALS) is associated with executive dysfunction and behavioural impairment. Recent studies suggested that social cognitive deficits might also be a prominent feature of ALS. Current meta-analysis aimed to summarize available evidence for deficits in social cognition including theory of mind (ToM) and emotion recognition in ALS. In this meta-analysis of 15 studies, facial emotion recognition and ToM performances of 389 patients with ALS and 471 healthy controls were compared. ALS was associated with significant impairments with medium effect sizes in ToM (d = .65) and facial emotion recognition (d = .69). Among individual emotions recognition of disgust and surprise were particularly impaired. Deficits in perspective taking (d = .73) aspects of ToM (ToM-PT) was more pronounced in comparison to decoding (d = .28) aspects of ToM (ToM-decoding). The severity of social cognitive impairment was similar to level of executive dysfunction and there was a significant relationship between social cognition and executive dysfunction. Deficits in social cognition are part of the cognitive phenotype of ALS. Copyright © 2016 Elsevier Ltd. All rights reserved.

  20. The correlation of social support with mental health: A meta-analysis

    Science.gov (United States)

    Harandi, Tayebeh Fasihi; Taghinasab, Maryam Mohammad; Nayeri, Tayebeh Dehghan

    2017-01-01

    Background and aim Social support is an important factor that can affect mental health. In recent decades, many studies have been done on the impact of social support on mental health. The purpose of the present study is to investigate the effect size of the relationship between social support and mental health in studies in Iran. Methods This meta-analysis was carried out in studies that were performed from 1996 through 2015. Databases included SID and Magiran, the comprehensive portal of human sciences, Noor specialized magazine databases, IRANDOC, Proquest, PubMed, Scopus, ERIC, Iranmedex and Google Scholar. The keywords used to search these websites included “mental health or general health,” and “Iran” and “social support.” In total, 64 studies had inclusion criteria meta-analysis. In order to collect data used from a meta-analysis worksheet that was made by the researcher and for data analysis software, CMA-2 was used. Results The mean of effect size of the 64 studies in the fixed-effect model and random-effect model was obtained respectively as 0.356 and 0.330, which indicated the moderate effect size of social support on mental health. The studies did not have publication bias, and enjoyed a heterogeneous effect size. The target population and social support questionnaire were moderator variables, but sex, sampling method, and mental health questionnaire were not moderator variables. Conclusion Regarding relatively high effect size of the correlation between social support and mental health, it is necessary to predispose higher social support, especially for women, the elderly, patients, workers, and students. PMID:29038699

  1. A framework for social life cycle impact assessment

    DEFF Research Database (Denmark)

    Dreyer, Louise Camilla; Hauschild, Michael Zwicky; Schierbeck, Jens

    2006-01-01

    Goal, Scope and Background. To enhance the use of life cycle assessment (LCA) as a tool in business decision-making, a methodology for Social life cycle impact assessment (LCIA) is being developed. Social LCA aims at facilitating companies to conduct business in a socially responsible manner...... by providing information about the potential social impacts on people caused by the activities in the life cycle of their product. The development of the methodology has been guided by a business perspective accepting that companies, on the one hand, have responsibility for the people affected...... in the life cycle rather than to the individual industrial processes, as is the case in Environmental LCA. Inventory analysis is therefore focused on the conduct of the companies engaged in the life cycle. A consequence of this view is that a key must be determined for relating the social profiles...

  2. Analysis of health sector gender equality and social inclusion strategy 2009 of Nepal.

    Science.gov (United States)

    Mahara, G B; Dhital, S R

    2014-01-01

    The policy on gender equality and social inclusion (GESI) in health sector of Nepal is formulated in 2009 targeting toward poor, vulnerable, marginalized social and ethnic groups. Gender inequality and social discrimination are a social problem that affect on individual health finally. The main objective of this paper is to critically analysis and evaluates the Government's strategy on health sector gender equality and social inclusion in Nepal. We collected published and unpublished information assessing the public health, policy analysis and research needs from different sources. A different policy approaches for the analysis and evaluation of GESI strategies is applied in this paper. Universal education, community participation, individual, group and mass communication approaches, and social capital are the key aspects of effective implementation of policy at target levels.

  3. The HIV Risk Profiles of Latino Sexual Minorities and Transgender Persons Who Use Websites or Apps Designed for Social and Sexual Networking

    Science.gov (United States)

    Sun, Christina J.; Reboussin, Beth; Mann, Lilli; Garcia, Manuel; Rhodes, Scott D.

    2016-01-01

    The use of websites and GPS-based mobile applications ("apps") designed for social and sexual networking has been associated with increased HIV risk; however, little is known about Latino sexual minorities' and transgender persons' use of these websites and apps and the risk profiles of those who use them compared with those who do not.…

  4. The Presentation of Self in Blogs and Social Networks

    Directory of Open Access Journals (Sweden)

    Carlos Arcila Calderón

    2010-06-01

    Full Text Available The main goal if this research is to know the way individuals present themselves in Blogs and Social Networks. The study includes the analysis of the presentation of self that a group of students hold in a Social Network Site (profile on Facebook and the elaboration of a personal Blog in Internet. In this sense, we tried to find the effort (elements and time dedicated to this communicative production and its relation with the presence of “the-other” in these virtual environments. After the realization of three content analysis, the research concludes that there are some identity categories that best define us in Social Networks (Membership of social groups and likes and Blogs (Styles of conduct and evasive answers. Besides, the study confirms our initial hypothesis referring to the fact that the more presence and knowing of “the-other”, the more communicative effort we dedicate to present our identity in virtual environments.

  5. Improving social connection through a communities-of-practice-inspired cognitive work analysis approach.

    Science.gov (United States)

    Euerby, Adam; Burns, Catherine M

    2014-03-01

    Increasingly, people work in socially networked environments. With growing adoption of enterprise social network technologies, supporting effective social community is becoming an important factor in organizational success. Relatively few human factors methods have been applied to social connection in communities. Although team methods provide a contribution, they do not suit design for communities. Wenger's community of practice concept, combined with cognitive work analysis, provided one way of designing for community. We used a cognitive work analysis approach modified with principles for supporting communities of practice to generate a new website design. Over several months, the community using the site was studied to examine their degree of social connectedness and communication levels. Social network analysis and communications analysis, conducted at three different intervals, showed increases in connections between people and between people and organizations, as well as increased communication following the launch of the new design. In this work, we suggest that human factors approaches can be effective in social environments, when applied considering social community principles. This work has implications for the development of new human factors methods as well as the design of interfaces for sociotechnical systems that have community building requirements.

  6. Social Media Sentiment Analysis and Topic Detection for Singapore English

    Science.gov (United States)

    2013-09-01

    study of NLP techniques,” La Revista de Procesamiento de Lenguaje Natural , vol. 50, pp. 45–52, 2013. [5] F. Batista, and R. Ribeiro, “Sentiment...have been made possible via social-media applications. Sentiment analysis and topic detection are two growing areas in Natural Language Processing...social-media applications. Sentiment analysis and topic detection are two growing areas in Natural Language Processing, and there are increasing

  7. Regression analysis for the social sciences

    CERN Document Server

    Gordon, Rachel A

    2015-01-01

    Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic regression models using contemporary standards. Key features of the book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature. thorough integration of teaching statistical theory with teaching data processing and analysis. teaching of Stata and use of chapter exercises in which students practice programming and interpretation on the same data set. A separate set of exercises allows students to select a data set to apply the concepts learned in each chapter to a research question of interest to them, all updated for this edition.

  8. Towards Context-Aware Search and Analysis on Social Media Data

    DEFF Research Database (Denmark)

    Derczynski, Leon; Yang, Bin; Jensen, Christian S.

    2013-01-01

    Social media has changed the way we communicate. Social media data capture our social interactions and utterances in machine readable format. Searching and analysing massive and frequently updated social media data brings significant and diverse rewards across many different application domains......, from politics and business to social science and epidemiology. A notable proportion of social media data comes with explicit or implicit spatial annotations, and almost all social media data has temporal metadata. We view social media data as a constant stream of data points, each containing text...... with spatial and temporal contexts. We identify challenges relevant to each context, which we intend to subject to context aware querying and analysis, specifically including longitudinal analyses on social media archives, spatial keyword search, local intent search, and spatio-temporal intent search. Finally...

  9. Peer Influence on Academic Performance: A Social Network Analysis of Social-Emotional Intervention Effects.

    Science.gov (United States)

    DeLay, Dawn; Zhang, Linlin; Hanish, Laura D; Miller, Cindy F; Fabes, Richard A; Martin, Carol Lynn; Kochel, Karen P; Updegraff, Kimberly A

    2016-11-01

    Longitudinal social network analysis (SNA) was used to examine how a social-emotional learning (SEL) intervention may be associated with peer socialization on academic performance. Fifth graders (N = 631; 48 % girls; 9 to 12 years) were recruited from six elementary schools. Intervention classrooms (14) received a relationship building intervention (RBI) and control classrooms (8) received elementary school as usual. At pre- and post-test, students nominated their friends, and teachers completed assessments of students' writing and math performance. The results of longitudinal SNA suggested that the RBI was associated with friend selection and peer influence within the classroom peer network. Friendship choices were significantly more diverse (i.e., less evidence of social segregation as a function of ethnicity and academic ability) in intervention compared to control classrooms, and peer influence on improved writing and math performance was observed in RBI but not control classrooms. The current findings provide initial evidence that SEL interventions may change social processes in a classroom peer network and may break down barriers of social segregation and improve academic performance.

  10. Analyzing negative ties in social networks

    Directory of Open Access Journals (Sweden)

    Mankirat Kaur

    2016-03-01

    Full Text Available Online social networks are a source of sharing information and maintaining personal contacts with other people through social interactions and thus forming virtual communities online. Social networks are crowded with positive and negative relations. Positive relations are formed by support, endorsement and friendship and thus, create a network of well-connected users whereas negative relations are a result of opposition, distrust and avoidance creating disconnected networks. Due to increase in illegal activities such as masquerading, conspiring and creating fake profiles on online social networks, exploring and analyzing these negative activities becomes the need of hour. Usually negative ties are treated in same way as positive ties in many theories such as balance theory and blockmodeling analysis. But the standard concepts of social network analysis do not yield same results in respect of each tie. This paper presents a survey on analyzing negative ties in social networks through various types of network analysis techniques that are used for examining ties such as status, centrality and power measures. Due to the difference in characteristics of flow in positive and negative tie networks some of these measures are not applicable on negative ties. This paper also discusses new methods that have been developed specifically for analyzing negative ties such as negative degree, and h∗ measure along with the measures based on mixture of positive and negative ties. The different types of social network analysis approaches have been reviewed and compared to determine the best approach that can appropriately identify the negative ties in online networks. It has been analyzed that only few measures such as Degree and PN centrality are applicable for identifying outsiders in network. For applicability in online networks, the performance of PN measure needs to be verified and further, new measures should be developed based upon negative clique concept.

  11. Combining network analysis with Cognitive Work Analysis: insights into social organisational and cooperation analysis.

    Science.gov (United States)

    Houghton, Robert J; Baber, Chris; Stanton, Neville A; Jenkins, Daniel P; Revell, Kirsten

    2015-01-01

    Cognitive Work Analysis (CWA) allows complex, sociotechnical systems to be explored in terms of their potential configurations. However, CWA does not explicitly analyse the manner in which person-to-person communication is performed in these configurations. Consequently, the combination of CWA with Social Network Analysis provides a means by which CWA output can be analysed to consider communication structure. The approach is illustrated through a case study of a military planning team. The case study shows how actor-to-actor and actor-to-function mapping can be analysed, in terms of centrality, to produce metrics of system structure under different operating conditions. In this paper, a technique for building social network diagrams from CWA is demonstrated.The approach allows analysts to appreciate the potential impact of organisational structure on a command system.

  12. A Survey of Models and Algorithms for Social Influence Analysis

    Science.gov (United States)

    Sun, Jimeng; Tang, Jie

    Social influence is the behavioral change of a person because of the perceived relationship with other people, organizations and society in general. Social influence has been a widely accepted phenomenon in social networks for decades. Many applications have been built based around the implicit notation of social influence between people, such as marketing, advertisement and recommendations. With the exponential growth of online social network services such as Facebook and Twitter, social influence can for the first time be measured over a large population. In this chapter, we survey the research on social influence analysis with a focus on the computational aspects. First, we present statistical measurements related to social influence. Second, we describe the literature on social similarity and influences. Third, we present the research on social influence maximization which has many practical applications including marketing and advertisement.

  13. Discourse, Health and Well-being of Military Populations through the Social Media Lens

    Energy Technology Data Exchange (ETDEWEB)

    Pavalanathan, Umashanthi; Datla, Vivek V.; Volkova, Svitlana; Charles-Smith, Lauren E.; Pirrung, Megan A.; Harrison, Joshua J.; Chappell, Alan R.; Corley, Courtney D.

    2016-02-29

    Social media can provide a resource for characterizing communities and small populations through activities and content shared online. For instance, studying the language use in social media within military populations may provide insights into their health and wellbeing. In this paper, we address three research questions: (1) How do military populations use social media? (2) What do military users discuss in social media? And (3) Do military users talk about health and well-being differently than civilians? Military Twitter users were identified through keywords in the profile description of users who posted geo-tagged tweets at military installations. The data was anonymized for the analysis. User profiles that belong to military population were compared to the nonmilitary population. Our results indicate that military users talk more about events in their military life, whereas nonmilitary users talk more about school, work, and leisure activities. We also found that the online content generated by both populations is significantly different, including health-related language and communication behavior.

  14. Processing methods for differential analysis of LC/MS profile data

    Directory of Open Access Journals (Sweden)

    Orešič Matej

    2005-07-01

    Full Text Available Abstract Background Liquid chromatography coupled to mass spectrometry (LC/MS has been widely used in proteomics and metabolomics research. In this context, the technology has been increasingly used for differential profiling, i.e. broad screening of biomolecular components across multiple samples in order to elucidate the observed phenotypes and discover biomarkers. One of the major challenges in this domain remains development of better solutions for processing of LC/MS data. Results We present a software package MZmine that enables differential LC/MS analysis of metabolomics data. This software is a toolbox containing methods for all data processing stages preceding differential analysis: spectral filtering, peak detection, alignment and normalization. Specifically, we developed and implemented a new recursive peak search algorithm and a secondary peak picking method for improving already aligned results, as well as a normalization tool that uses multiple internal standards. Visualization tools enable comparative viewing of data across multiple samples. Peak lists can be exported into other data analysis programs. The toolbox has already been utilized in a wide range of applications. We demonstrate its utility on an example of metabolic profiling of Catharanthus roseus cell cultures. Conclusion The software is freely available under the GNU General Public License and it can be obtained from the project web page at: http://mzmine.sourceforge.net/.

  15. Genome-wide analysis of immune system genes by EST profiling

    Science.gov (United States)

    Giallourakis, Cosmas; Benita, Yair; Molinie, Benoit; Cao, Zhifang; Despo, Orion; Pratt, Henry E.; Zukerberg, Lawrence R.; Daly, Mark J.; Rioux, John D.; Xavier, Ramnik J.

    2013-01-01

    Profiling studies of mRNA and miRNA, particularly microarray-based studies, have been extensively used to create compendia of genes that are preferentially expressed in the immune system. In some instances, functional studies have been subsequently pursued. Recent efforts such as ENCODE have demonstrated the benefit of coupling RNA-Seq analysis with information from expressed sequence tags (ESTs) for transcriptomic analysis. However, the full characterization and identification of transcripts that function as modulators of human immune responses remains incomplete. In this study, we demonstrate that an integrated analysis of human ESTs provides a robust platform to identify the immune transcriptome. Beyond recovering a reference set of immune-enriched genes and providing large-scale cross-validation of previous microarray studies, we discovered hundreds of novel genes preferentially expressed in the immune system, including non-coding RNAs. As a result, we have established the Immunogene database, representing an integrated EST “road map” of gene expression in human immune cells, which can be used to further investigate the function of coding and non-coding genes in the immune system. Using this approach, we have uncovered a unique metabolic gene signature of human macrophages and identified PRDM15 as a novel overexpressed gene in human lymphomas. Thus we demonstrate the utility of EST profiling as a basis for further deconstruction of physiologic and pathologic immune processes. PMID:23616578

  16. Theoretical Analysis of The Use of Social Media in The Enterprise Activity

    Directory of Open Access Journals (Sweden)

    Monika Donculaitė

    2017-06-01

    Full Text Available The purpose of the article is to present the results of analysis of scientific literature on the social media concept and social media classification and provide insights on how the use of the social media can be expanded in business to get the maximum benefits and minimize potential risks. The structure of the article fits for purpose – presents the analysis of the scientific literature, synthesis, comparison, systematization of information and its graphical visualization. The performed analysis allowed to determine possibilities for application of the social media in the enterprise activities and to identify gained benefits. Social media allows enterprises to communicate more flexible and faster both in the outside and inside environment, facilitates customer accessibility, provides opportunity to quickly respond to customer feedback or inform existing and potential customers about new ideas and proposals.

  17. Spectral Analysis Methods of Social Networks

    Directory of Open Access Journals (Sweden)

    P. G. Klyucharev

    2017-01-01

    Full Text Available Online social networks (such as Facebook, Twitter, VKontakte, etc. being an important channel for disseminating information are often used to arrange an impact on the social consciousness for various purposes - from advertising products or services to the full-scale information war thereby making them to be a very relevant object of research. The paper reviewed the analysis methods of social networks (primarily, online, based on the spectral theory of graphs. Such methods use the spectrum of the social graph, i.e. a set of eigenvalues of its adjacency matrix, and also the eigenvectors of the adjacency matrix.Described measures of centrality (in particular, centrality based on the eigenvector and PageRank, which reflect a degree of impact one or another user of the social network has. A very popular PageRank measure uses, as a measure of centrality, the graph vertices, the final probabilities of the Markov chain, whose matrix of transition probabilities is calculated on the basis of the adjacency matrix of the social graph. The vector of final probabilities is an eigenvector of the matrix of transition probabilities.Presented a method of dividing the graph vertices into two groups. It is based on maximizing the network modularity by computing the eigenvector of the modularity matrix.Considered a method for detecting bots based on the non-randomness measure of a graph to be computed using the spectral coordinates of vertices - sets of eigenvector components of the adjacency matrix of a social graph.In general, there are a number of algorithms to analyse social networks based on the spectral theory of graphs. These algorithms show very good results, but their disadvantage is the relatively high (albeit polynomial computational complexity for large graphs.At the same time it is obvious that the practical application capacity of the spectral graph theory methods is still underestimated, and it may be used as a basis to develop new methods.The work

  18. Passion fruit juice with different sweeteners: sensory profile by descriptive analysis and acceptance.

    Science.gov (United States)

    Rocha, Izabela Furtado de Oliveira; Bolini, Helena Maria André

    2015-03-01

    This study evaluated the effect of different sweeteners on the sensory profile, acceptance, and drivers of preference of passion fruit juice samples sweetened with sucrose, aspartame, sucralose, stevia, cyclamate/saccharin blend 2:1, and neotame. Sensory profiling was performed by 12 trained assessors using quantitative descriptive analysis (QDA). Acceptance tests (appearance, aroma, flavor, texture and overall impression) were performed with 124 consumers of tropical fruit juice. Samples with sucrose, aspartame and sucralose showed similar sensory profile (P Passion fruit flavor affected positively and sweet aftertaste affected negatively the acceptance of the samples. Samples sweetened with aspartame, sucralose, and sucrose presented higher acceptance scores for the attributes flavor, texture, and overall impression, with no significant (P passion fruit juice.

  19. Is a profile in social software a learning e-portfolio? If not, could any benefits be found from linking the two?

    Directory of Open Access Journals (Sweden)

    Lise Agerbæk

    2009-06-01

    Full Text Available Denne artikel sammenligner lærings e-portfolier med profiler i social software (Facebook, MySpace, LinkedIn. Ligheder mellem de to består i, at de begge er fora for selvfremstilling. Forskellen mellem dem består i, at selvet bliver fremstillet med to forskellige formål. Selvfremstillingen i social software sker for at være én i gruppen (af venner eller af professionelle. Det mulige selv-udtryk er defineret af den type input, som platformen vælger som vigtigt. I en e-portfolio er formålet at ”vise og fortælle” om kompetencer og udvikling – og dette sker gennem fri tekst og visuel formgivning. Dette er vanskeligt i det sociale software, vi kender i dag. I en e-portfolio demonstrerer måden du repræsenterer dig selv på din kommunikative kompetence. Bør uddannelsesinstitutioner så ignorere eller endog forbyde brugen af profiler? Artiklen foreslår en måde, hvorpå de ville kunne drage fordel af en dobbelt strategi. For det første sætter institutionen ved at igangsætte et e-portfolio-program eleverne/de studerende i stand til at udvikle og kende deres kompetencer som lærende. En af e-portfolio-litteraturens (Qvortrup, Lund, Ellmin hovedkonklusioner er, at refleksion over læring sætter den lærende i stand til at forstå og erkende egne kompetencer. For det andet kan brugen af social software influere den studerendes evne til at danne relationer – og fokusere kompetencen til at skabe og vedligeholde professionelle relationer. Denne strategi er en fordel, fordi den adresserer et problem, som institutioner ofte møder, når de igangsætter et e-portfolio-program. De studerende føler ikke nogen ”indre nødvendighed” i forhold til at udfylde dem. De ser ikke e-portfolien som en måde at overtale deres læsere – måske fordi de gennem e-portfolien taler til et ukendt publikum. Her diskuteres e-portfolien som retorisk diskurs følgende Lhoyd Bitzers begreb om den retoriske situation. For at etablere en sand retorisk

  20. Angular photogrammetric analysis of the soft-tissue facial profile of Indian adults

    Directory of Open Access Journals (Sweden)

    K Saravana Pandian

    2018-01-01

    Full Text Available Introduction: Soft-tissue analysis has become an important component of orthodontic diagnosis and treatment planning. Photographic evaluation of an orthodontic patient is a very close representation of the appearance of the person. The previously established norms for soft-tissue analysis will vary for different ethnic groups. Thus, there is a need to develop soft-tissue facial profile norms pertaining to Indian ethnic groups. Aim and Objectives: The aim of this study is to establish the angular photogrammetric standards of soft-tissue facial profile for Indian males and females and also to compare sexual dimorphism present between them. Materials and Methods: The lateral profile photographs of 300 random participants (150 males and 150 females between ages 18 and 25 years were taken and analyzed using FACAD tracing software. Inclusion criteria were angles Class I molar occlusion with acceptable crowding and proclination, normal growth and development with well-aligned dental arches, and full complements of permanent teeth irrespective of third molar status. This study was conducted in Indian population, and samples were taken from various cities across India. Descriptive statistical analysis was carried out, and sexual dimorphism was evaluated by Student's t-test between males and females. Results: The results of the present study showed statistically significant (P < 0.05 gender difference in 5 parameters out of 12 parameters in Indian population. Conclusion: In the present study, soft-tissue facial measurements were established by means of photogrammetric analysis to facilitate orthodontists to carry out more quantitative evaluation and make disciplined decisions. The mean values obtained can be used for comparison with records of participants with the same characteristics by following this photogrammetric technique.

  1. The social impacts of dams: A new framework for scholarly analysis

    Energy Technology Data Exchange (ETDEWEB)

    Kirchherr, Julian, E-mail: julian.kirchherr@sant.ox.ac.uk; Charles, Katrina J., E-mail: katrina.charles@ouce.ox.ac.uk

    2016-09-15

    No commonly used framework exists in the scholarly study of the social impacts of dams. This hinders comparisons of analyses and thus the accumulation of knowledge. The aim of this paper is to unify scholarly understanding of dams' social impacts via the analysis and aggregation of the various frameworks currently used in the scholarly literature. For this purpose, we have systematically analyzed and aggregated 27 frameworks employed by academics analyzing dams' social impacts (found in a set of 217 articles). A key finding of the analysis is that currently used frameworks are often not specific to dams and thus omit key impacts associated with them. The result of our analysis and aggregation is a new framework for scholarly analysis (which we call ‘matrix framework’) specifically on dams' social impacts, with space, time and value as its key dimensions as well as infrastructure, community and livelihood as its key components. Building on the scholarly understanding of this topic enables us to conceptualize the inherently complex and multidimensional issues of dams' social impacts in a holistic manner. If commonly employed in academia (and possibly in practice), this framework would enable more transparent assessment and comparison of projects.

  2. Applications of social network analysis to obesity: a systematic review.

    Science.gov (United States)

    Zhang, S; de la Haye, K; Ji, M; An, R

    2018-04-20

    People's health behaviours and outcomes can be profoundly shaped by the social networks they are embedded in. Based on graph theory, social network analysis is a research framework for the study of social interactions and the structure of these interactions among social actors. A literature search was conducted in PubMed and Web of Science for articles published until August 2017 that applied social network analysis to examine obesity and social networks. Eight studies (three cross-sectional and five longitudinal) conducted in the US (n = 6) and Australia (n = 2) were identified. Seven focused on adolescents' and one on adults' friendship networks. They examined structural features of these networks that were associated with obesity, including degree distribution, popularity, modularity maximization and K-clique percolation. All three cross-sectional studies that used exponential random graph models found individuals with similar body weight status and/or weight-related behaviour were more likely to share a network tie than individuals with dissimilar traits. Three longitudinal studies using stochastic actor-based models found friendship network characteristics influenced change in individuals' body weight status and/or weight-related behaviour over time. Future research should focus on diverse populations and types of social networks and identifying the mechanisms by which social networks influence obesity to inform network-based interventions. © 2018 World Obesity Federation.

  3. A new method to identify the foot of continental slope based on an integrated profile analysis

    Science.gov (United States)

    Wu, Ziyin; Li, Jiabiao; Li, Shoujun; Shang, Jihong; Jin, Xiaobin

    2017-06-01

    A new method is proposed to identify automatically the foot of the continental slope (FOS) based on the integrated analysis of topographic profiles. Based on the extremum points of the second derivative and the Douglas-Peucker algorithm, it simplifies the topographic profiles, then calculates the second derivative of the original profiles and the D-P profiles. Seven steps are proposed to simplify the original profiles. Meanwhile, multiple identification methods are proposed to determine the FOS points, including gradient, water depth and second derivative values of data points, as well as the concave and convex, continuity and segmentation of the topographic profiles. This method can comprehensively and intelligently analyze the topographic profiles and their derived slopes, second derivatives and D-P profiles, based on which, it is capable to analyze the essential properties of every single data point in the profile. Furthermore, it is proposed to remove the concave points of the curve and in addition, to implement six FOS judgment criteria.

  4. Understanding the process of social network evolution: Online-offline integrated analysis of social tie formation.

    Science.gov (United States)

    Kwak, Doyeon; Kim, Wonjoon

    2017-01-01

    It is important to consider the interweaving nature of online and offline social networks when we examine social network evolution. However, it is difficult to find any research that examines the process of social tie formation from an integrated perspective. In our study, we quantitatively measure offline interactions and examine the corresponding evolution of online social network in order to understand the significance of interrelationship between online and offline social factors in generating social ties. We analyze the radio signal strength indicator sensor data from a series of social events to understand offline interactions among the participants and measure the structural attributes of their existing online Facebook social networks. By monitoring the changes in their online social networks before and after offline interactions in a series of social events, we verify that the ability to develop an offline interaction into an online friendship is tied to the number of social connections that participants previously had, while the presence of shared mutual friends between a pair of participants disrupts potential new connections within the pre-designed offline social events. Thus, while our integrative approach enables us to confirm the theory of preferential attachment in the process of network formation, the common neighbor theory is not supported. Our dual-dimensional network analysis allows us to observe the actual process of social network evolution rather than to make predictions based on the assumption of self-organizing networks.

  5. Understanding the process of social network evolution: Online-offline integrated analysis of social tie formation.

    Directory of Open Access Journals (Sweden)

    Doyeon Kwak

    Full Text Available It is important to consider the interweaving nature of online and offline social networks when we examine social network evolution. However, it is difficult to find any research that examines the process of social tie formation from an integrated perspective. In our study, we quantitatively measure offline interactions and examine the corresponding evolution of online social network in order to understand the significance of interrelationship between online and offline social factors in generating social ties. We analyze the radio signal strength indicator sensor data from a series of social events to understand offline interactions among the participants and measure the structural attributes of their existing online Facebook social networks. By monitoring the changes in their online social networks before and after offline interactions in a series of social events, we verify that the ability to develop an offline interaction into an online friendship is tied to the number of social connections that participants previously had, while the presence of shared mutual friends between a pair of participants disrupts potential new connections within the pre-designed offline social events. Thus, while our integrative approach enables us to confirm the theory of preferential attachment in the process of network formation, the common neighbor theory is not supported. Our dual-dimensional network analysis allows us to observe the actual process of social network evolution rather than to make predictions based on the assumption of self-organizing networks.

  6. Social network analysis of duplicative prescriptions: One-month analysis of medical facilities in Japan.

    Science.gov (United States)

    Takahashi, Yoshimitsu; Ishizaki, Tatsuro; Nakayama, Takeo; Kawachi, Ichiro

    2016-03-01

    Duplicative prescriptions refer to situations in which patients receive medications for the same condition from two or more sources. Health officials in Japan have expressed concern about medical "waste" resulting from this practices. We sought to conduct descriptive analysis of duplicative prescriptions using social network analysis and to report their prevalence across ages. We analyzed a health insurance claims database including 1.24 million people from December 2012. Through social network analysis, we examined the duplicative prescription networks, representing each medical facility as nodes, and individual prescriptions for patients as edges. The prevalence of duplicative prescription for any drug class was strongly correlated with its frequency of prescription (r=0.90). Among patients aged 0-19, cough and colds drugs showed the highest prevalence of duplicative prescriptions (10.8%). Among people aged 65 and over, antihypertensive drugs had the highest frequency of prescriptions, but the prevalence of duplicative prescriptions was low (0.2-0.3%). Social network analysis revealed clusters of facilities connected via duplicative prescriptions, e.g., psychotropic drugs showed clustering due to a few patients receiving drugs from 10 or more facilities. Overall, the prevalence of duplicative prescriptions was quite low - less than 10% - although the extent of the problem varied by drug class and age group. Our approach illustrates the potential utility of using a social network approach to understand these practices. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  7. Bayesian mixture analysis for metagenomic community profiling.

    Science.gov (United States)

    Morfopoulou, Sofia; Plagnol, Vincent

    2015-09-15

    Deep sequencing of clinical samples is now an established tool for the detection of infectious pathogens, with direct medical applications. The large amount of data generated produces an opportunity to detect species even at very low levels, provided that computational tools can effectively profile the relevant metagenomic communities. Data interpretation is complicated by the fact that short sequencing reads can match multiple organisms and by the lack of completeness of existing databases, in particular for viral pathogens. Here we present metaMix, a Bayesian mixture model framework for resolving complex metagenomic mixtures. We show that the use of parallel Monte Carlo Markov chains for the exploration of the species space enables the identification of the set of species most likely to contribute to the mixture. We demonstrate the greater accuracy of metaMix compared with relevant methods, particularly for profiling complex communities consisting of several related species. We designed metaMix specifically for the analysis of deep transcriptome sequencing datasets, with a focus on viral pathogen detection; however, the principles are generally applicable to all types of metagenomic mixtures. metaMix is implemented as a user friendly R package, freely available on CRAN: http://cran.r-project.org/web/packages/metaMix sofia.morfopoulou.10@ucl.ac.uk Supplementary data are available at Bionformatics online. © The Author 2015. Published by Oxford University Press.

  8. Spatiotemporal Analysis of Coronal Loops Using Seismology of Damped Kink Oscillations and Forward Modeling of EUV Intensity Profiles

    Science.gov (United States)

    Pascoe, D. J.; Anfinogentov, S. A.; Goddard, C. R.; Nakariakov, V. M.

    2018-06-01

    The shape of the damping profile of kink oscillations in coronal loops has recently allowed the transverse density profile of the loop to be estimated. This requires accurate measurement of the damping profile that can distinguish the Gaussian and exponential damping regimes, otherwise there are more unknowns than observables. Forward modeling of the transverse intensity profile may also be used to estimate the width of the inhomogeneous layer of a loop, providing an independent estimate of one of these unknowns. We analyze an oscillating loop for which the seismological determination of the transverse structure is inconclusive except when supplemented by additional spatial information from the transverse intensity profile. Our temporal analysis describes the motion of a coronal loop as a kink oscillation damped by resonant absorption, and our spatial analysis is based on forward modeling the transverse EUV intensity profile of the loop under the isothermal and optically thin approximations. We use Bayesian analysis and Markov chain Monte Carlo sampling to apply our spatial and temporal models both individually and simultaneously to our data and compare the results with numerical simulations. Combining the two methods allows both the inhomogeneous layer width and density contrast to be calculated, which is not possible for the same data when each method is applied individually. We demonstrate that the assumption of an exponential damping profile leads to a significantly larger error in the inferred density contrast ratio compared with a Gaussian damping profile.

  9. Social Hackers: Integration in the Host Chemical Recognition System by a Paper Wasp Social Parasite

    Science.gov (United States)

    Turillazzi, S.; Sledge, M. F.; Dani, F. R.; Cervo, R.; Massolo, A.; Fondelli, L.

    Obligate social parasites in the social insects have lost the worker caste and the ability to establish nests. As a result, parasites must usurp a host nest, overcome the host recognition system, and depend on the host workers to rear their offspring. We analysed cuticular hydrocarbon profiles of live parasite females of the paper wasp social parasite Polistes sulcifer before and after usurpation of host nests, using the non-destructive technique of solid-phase micro-extraction. Our results reveal that hydrocarbon profiles of parasites change after usurpation of host nests to match the cuticular profile of the host species. Chemical evidence further shows that the parasite queen changes the odour of the nest by the addition of a parasite-specific hydrocarbon. We discuss the possible role of this in the recognition and acceptance of the parasite and its offspring in the host colony.

  10. Mixed Methods Analysis of Enterprise Social Networks

    DEFF Research Database (Denmark)

    Behrendt, Sebastian; Richter, Alexander; Trier, Matthias

    2014-01-01

    The increasing use of enterprise social networks (ESN) generates vast amounts of data, giving researchers and managerial decision makers unprecedented opportunities for analysis. However, more transparency about the available data dimensions and how these can be combined is needed to yield accurate...

  11. On the line-shape analysis of Compton profiles and its application to neutron scattering

    International Nuclear Information System (INIS)

    Romanelli, G.; Krzystyniak, M.

    2016-01-01

    Analytical properties of Compton profiles are used in order to simplify the analysis of neutron Compton scattering experiments. In particular, the possibility to fit the difference of Compton profiles is discussed as a way to greatly decrease the level of complexity of the data treatment, making the analysis easier, faster and more robust. In the context of the novel method proposed, two mathematical models describing the shapes of differenced Compton profiles are discussed: the simple Gaussian approximation for harmonic and isotropic local potential, and an analytical Gauss–Hermite expansion for an anharmonic or anisotropic potential. The method is applied to data collected by VESUVIO spectrometer at ISIS neutron and muon pulsed source (UK) on Copper and Aluminium samples at ambient and low temperatures. - Highlights: • A new method to analyse neutron Compton scattering data is presented. • The method allows many corrections on the experimental data to be avoided. • The number of needed fitting parameters is drastically reduced using the new method. • Mass-selective analysis is facilitated with parametric studies benefiting the most. • Observables linked to anisotropic momentum distribution are obtained analytically.

  12. Statistically sound evaluation of trace element depth profiles by ion beam analysis

    International Nuclear Information System (INIS)

    Schmid, K.; Toussaint, U. von

    2012-01-01

    This paper presents the underlying physics and statistical models that are used in the newly developed program NRADC for fully automated deconvolution of trace level impurity depth profiles from ion beam data. The program applies Bayesian statistics to find the most probable depth profile given ion beam data measured at different energies and angles for a single sample. Limiting the analysis to % level amounts of material allows one to linearize the forward calculation of ion beam data which greatly improves the computation speed. This allows for the first time to apply the maximum likelihood approach to both the fitting of the experimental data and the determination of confidence intervals of the depth profiles for real world applications. The different steps during the automated deconvolution will be exemplified by applying the program to artificial and real experimental data.

  13. A method based on temporal concept analysis for detecting and profiling human trafficking suspects

    NARCIS (Netherlands)

    Poelmans, J.; Elzinga, P.; Viaene, S.; Dedene, G.; Hamza, M.H.

    2010-01-01

    Human trafficking and forced prostitution are a serious problem for the Amsterdam-Amstelland police (the Netherlands). In this paper, we present a method based on Temporal Concept Analysis for detecting and profiling human trafficking suspects. Using traditional Formal Concept Analysis, we first

  14. Social Network Analysis: a practical measurement and evaluation of Trust in a classroom environment

    OpenAIRE

    Giandini, Roxana Silvia; Kuz, Antonieta

    2012-01-01

    A social network is formed by a set of actors and the relationships established by them. SNA leads to distinct goals and perspectives of social network analysis and computer science. This paper introduces the study of social networks and their relationship with trust. We study the methods of detection and description of structural properties. This covers the concepts, methods and data analysis techniques of social networks analysis. After that, we introduce the concept of trust and its relati...

  15. Improving the analysis of social component of flash-floods risk assessment: Application to urban areas of Castilla y León (Spain)

    Science.gov (United States)

    Aroca Jimenez, Estefanía; Bodoque del Pozo, Jose Maria; Garcia Martin, Juan Antonio; Diez Herrero, Andres

    2016-04-01

    The increasing evidence of anthropogenic climate change, the respective intensification of extreme events as well as the increase in human exposure to natural hazards and their vulnerability show that the enhancement of strategies on how to reduce disaster risk and promote adaptation to extreme events is critical to increase resilience. Growing economic losses, high numbers of casualties and the disruption of livelihoods in various places of the world, at an even higher rate than the increase of magnitude and frequency of extreme events, underline that the vulnerability of societies exposed is a key aspect to be considered. Social vulnerability characterizes the predisposition of society to be afflicted by hazards such as floods, being flash floods one of the hazards with the greatest capacity to generate risk. Despite its importance, social vulnerability is often a neglected aspect of traditional risk assessments which mainly focus on economic and structural measures. The aim of this research is to identify those social characteristics which render people vulnerable to flash flood hazards, and consider whether these characteristics are identifiable as local patterns at regional level. The result of this task is a Social Susceptibility Index (SSI) based on susceptibility profiles of the population per township. These profiles are obtained by Hierarchical Segmentation and Latent Class Analysis of demographic and socio-economic information provided by different public organisms. By adding exposure information to SSI, a Social and Infraestructure Flood Vulnerability Index (SIFVI) is created. The methodology proposed here is implemented in the region of Castilla y León (94,226 km2). Townships that are included in this study meet two requirements: i) city centres are affected by an area where potential significant flash-flood risk exists (i.e. villages are crossed by rivers with a longitudinal slope higher than 0.01); ii) city centres are affected by an area with low

  16. Capitalizing on Social Media for Career Development.

    Science.gov (United States)

    Escoffery, Cam; Kenzig, Melissa; Hyden, Christel; Hernandez, Kristen

    2018-01-01

    Social media is powerful and has effective tools for career advancement. Health promotion professionals at all stages of their career can employ social media to develop their profile, network with a range of colleagues, and learn about jobs and other career-enhancing opportunities. This article focuses on several social media resources, describes their key functions for career development, and offers strategies for effective use. Steps in using social media include creating a personal profile, sharing products such as newsletters or publications, and locating volunteer and job opportunities. Learning skills to use social media effectively is important to advancing careers and to the expansion of the public health workforce.

  17. ANALYSIS OF THE SOCIAL DETERMINANTS OF GENDER VIOLENCE

    Directory of Open Access Journals (Sweden)

    Lucía Caudillo-Ortega

    2017-07-01

    Full Text Available Gender violence is a public health, social and human right problem, which is present at the globally and is permeated in all social classes, all socioeconomic levels and ages. Although gender-based violence has serious consequences for the health of the victims, and may even lead to murder or suicide, it is still considered a problem of private spaces, however, policies must be generated to eradicate the problem. Gender violence has its roots in gender inequalities built over time by society and perpetuated by various structures of the same. It is necessary to analyze the social determinants that influence gender violence to identify the modifiable parts of this problem. Gender violence is described as public health and then each of the social determinants that influence the phenomenon of study and finally give some final considerations of the analysis.

  18. The Association of Latino Children's Kindergarten School Readiness Profiles with Grade 2-5 Literacy Achievement Trajectories

    Science.gov (United States)

    Quirk, Matthew; Grimm, Ryan; Furlong, Michael J.; Nylund-Gibson, Karen; Swami, Sruthi

    2016-01-01

    This study utilized latent class analysis (LCA) to identify 5 discernible profiles of Latino children's (N = 1,253) social-emotional, physical, and cognitive school readiness at the time of kindergarten entry. In addition, a growth mixture modeling (GMM) approach was used to identify 3 unique literacy achievement trajectories, across Grades 2-5,…

  19. Social Circles Detection from Ego Network and Profile Information

    Science.gov (United States)

    2014-12-19

    way of organizing contacts in personal networks . They are therefore currently implemented in the major social net- working systems, such as Facebook ...0704-0188 3. DATES COVERED (From - To) - UU UU UU UU Approved for public release; distribution is unlimited. Social Circles Detection from Ego Network ...structural network information but also the contents of social interactions, with the aim to detect copying communities. The views, opinions and/or findings

  20. Flavour Profiling of 'Marion' and Thornless Blackberries by Instrumental and Sensory Analysis

    Science.gov (United States)

    The flavour of thornless blackberries grown in Pacific Northwest including 'Thornless Evergreen', 'Black Diamond', 'Black Pearl', 'Nightfall', ORUS 1843-3, 'Waldo', NZ 9351-4, and 'Chester Thornless' as well as 'Marion' was profiled by sensory evaluation and instrumental analysis. Sensory results sh...

  1. The cognitive profile of ALS : A systematic review and meta-analysis update

    NARCIS (Netherlands)

    Beeldman, E.; Raaphorst, J.; Klein Twennaar, M.; de Visser, M.; Schmand, B.A.; de Haan, R.J.

    Cognitive impairment is present in approximately 30% of patients with amyotrophic lateral sclerosis (ALS) and, especially when severe, has a negative impact on survival and caregiver burden. Our 2010 meta-analysis of the cognitive profile of ALS showed impairment of fluency, executive function,

  2. The cognitive profile of ALS: a systematic review and meta-analysis update

    NARCIS (Netherlands)

    Beeldman, Emma; Raaphorst, Joost; Klein Twennaar, Michelle; de Visser, Marianne; Schmand, Ben A.; de Haan, Rob J.

    2016-01-01

    Cognitive impairment is present in approximately 30% of patients with amyotrophic lateral sclerosis (ALS) and, especially when severe, has a negative impact on survival and caregiver burden. Our 2010 meta-analysis of the cognitive profile of ALS showed impairment of fluency, executive function,

  3. Social Transparency through Recommendation Engines and its Challenges: Looking Beyond Privacy

    Directory of Open Access Journals (Sweden)

    Remus TITIRIGA

    2011-01-01

    Full Text Available Our knowledge society is quickly becoming a 'transparent' one. This transparency is acquired, among other means, by 'personalization' or 'profiling': ICT tools gathering contextualized information about individuals in men–computers interactions. The paper begins with an overview of these ICT tools (behavioral targeting, recommendation engines, 'personalization' through social networking. Based on these developments the analysis focus a case study of developments in social network (Facebook and the trade-offs between 'personalization' and privacy constrains. A deeper analysis will reveal unexpected challenges and the need to overcome the privacy paradigm. Finally a draft of possible normative solutions will be depicted, grounded in new forms of individual rights.

  4. Internet profiling: The economy of data intraoperability on Facebook and Google

    Directory of Open Access Journals (Sweden)

    Anja Bechmann

    2013-10-01

    Full Text Available This article investigates online profiling and data strategies by identifying and comparing data strategies of the two most visited internet companies, Google and Face- book. The aim of the article is to use media economics and management perspectives to enrich the discussion on profiling from a political economy perspective. The article maps differences in the data strategies of the services and the potential data collected through a data point analysis, and suggests conceptual distinctions between vertical and horizontal data strategies, touch point and social network, integrated and diversified application programming interface (API structures, and relevance and reputation data strategy perspectives. Furthermore, the findings in the article suggest distinguishing among profiling for advertisers, developers, and government agencies. Addressing these stakeholders through the identified data strategic differences, the findings point to different implications for privacy, digital divides, algorithmic adoption, and societal segregation and intolerance.  

  5. Internet profiling: The economy of data intraoperability on Facebook and Google

    Directory of Open Access Journals (Sweden)

    Anja Bechmann

    2013-12-01

    Full Text Available This article investigates online profiling and data strategies by identifying and comparing data strategies of the two most visited internet companies, Google and Face- book. The aim of the article is to use media economics and management perspectives to enrich the discussion on profiling from a political economy perspective. The article maps differences in the data strategies of the services and the potential data collected through a data point analysis, and suggests conceptual distinctions between vertical and horizontal data strategies, touch point and social network, integrated and diversified application programming interface (API structures, and relevance and reputation data strategy perspectives. Furthermore, the findings in the article suggest distinguishing among profiling for advertisers, developers, and government agencies. Addressing these stakeholders through the identified data strategic differences, the findings point to different implications for privacy, digital divides, algorithmic adoption, and societal segregation and intolerance.

  6. Psychological profile of laryngectomized patients

    Directory of Open Access Journals (Sweden)

    Bogdan Popescu

    2016-04-01

    Full Text Available Larynx cancer is one of the most susceptible form of cancer susceptible to induce alteration of the patient’s psychological profile due to the social role that the larynx has in communication. Oral communication is severely impaired even after voice rehabilitation of the laryngectomized patients, so that the social rehabilitation is somewhat not only a medical but also a social problem. The psychological profile of these patients is altered in a way that dealing with the disease is sometimes neglected and the interaction with the outside world in terms of oral communication is totally abandoned. The starting point for depression in these cases is the acknowledgement of the disease and is, in some cases, the entire medical environment. Facial scarring, the inability to verbally interact with other human, as well as the presence of the tracheostoma, are all deciding factors in the presence of a low self-esteem for these particular patients. Psychological counseling is a mandatory approach for laryngectomized patients, in order to improve their ability to cope with cancer and providing better recovery chances.

  7. Classifying and profiling Social Networking Site users: a latent segmentation approach.

    Science.gov (United States)

    Alarcón-del-Amo, María-del-Carmen; Lorenzo-Romero, Carlota; Gómez-Borja, Miguel-Ángel

    2011-09-01

    Social Networking Sites (SNSs) have showed an exponential growth in the last years. The first step for an efficient use of SNSs stems from an understanding of the individuals' behaviors within these sites. In this research, we have obtained a typology of SNS users through a latent segmentation approach, based on the frequency by which users perform different activities within the SNSs, sociodemographic variables, experience in SNSs, and dimensions related to their interaction patterns. Four different segments have been obtained. The "introvert" and "novel" users are the more occasional. They utilize SNSs mainly to communicate with friends, although "introverts" are more passive users. The "versatile" user performs different activities, although occasionally. Finally, the "expert-communicator" performs a greater variety of activities with a higher frequency. They tend to perform some marketing-related activities such as commenting on ads or gathering information about products and brands as well as commenting ads. The companies can take advantage of these segmentation schemes in different ways: first, by tracking and monitoring information interchange between users regarding their products and brands. Second, they should match the SNS users' profiles with their market targets to use SNSs as marketing tools. Finally, for most business, the expert users could be interesting opinion leaders and potential brand influencers.

  8. Closing the gap : measuring the social identity of terrorists

    OpenAIRE

    Ludwick, Keith W.

    2008-01-01

    CHDS State/Local Studies of terrorism today focus on psychological and behavioral aspects of individuals. Most research shows that using a single model in an attempt to profile terrorists psychologically is problematic, if not impossible. However, using two well established theories from social psychology, Social Identity Theory and Social Distance Theory, allows the development of a practical model to develop a social profile of a terrorist group. From that, it is further possible to...

  9. Adapting computational text analysis to social science (and vice versa

    Directory of Open Access Journals (Sweden)

    Paul DiMaggio

    2015-11-01

    Full Text Available Social scientists and computer scientist are divided by small differences in perspective and not by any significant disciplinary divide. In the field of text analysis, several such differences are noted: social scientists often use unsupervised models to explore corpora, whereas many computer scientists employ supervised models to train data; social scientists hold to more conventional causal notions than do most computer scientists, and often favor intense exploitation of existing algorithms, whereas computer scientists focus more on developing new models; and computer scientists tend to trust human judgment more than social scientists do. These differences have implications that potentially can improve the practice of social science.

  10. A Meta-Analysis of Approaches to Engage Social Work Students Online

    Science.gov (United States)

    Farrel, Dorothy; Ray, Kateri; Rich, Telvis; Suarez, Zulema; Christenson, Brian; Jennigs, Lisa

    2018-01-01

    With an increase in social work courses being offered in online and hybrid formats, it is imperative that social work programs understand the new teaching tenets and engagement mediums employed to meet the new Council on Social Work Education's Educational Policy and Accreditation Standards. This meta-analysis explores best-practices pedagogy for…

  11. Empirical Analysis of Religiosity as Predictor of Social Media Addiction

    OpenAIRE

    Jamal J Almenayes

    2015-01-01

    This study sought to examine the dimensions of social media addiction and its relationship to religiosity.  To investigate the matter, the present research utilized a well-known Internet addiction scale and modified it to fit social media (Young, 1996).  Factor analysis of items generated by a sample of 1326 participants, three addiction factors were apparent.  These factors were later regressed on a scale of religiosity.  This scale contained a single factor based on factor analysis.  Result...

  12. Bringing the Best of Two Worlds Together for Social Capital Research in Education: Social Network Analysis and Symbolic Interactionism

    Science.gov (United States)

    Lee, Moosung

    2014-01-01

    This article proposes an analytical consideration for social capital research in education by exploring a pragmatic combination of social network analysis (SNA) and symbolic interactionism (SI) as a research method. The article first delineates the theoretical linkages of social capital theory with SNA and SI. The article then discusses how SNA…

  13. A study on online learner profile for supporting personalized learning

    Directory of Open Access Journals (Sweden)

    Jie Yang

    2013-09-01

    Full Text Available Digital learning as a popular learning approach has received increasing attention in modern education. The learner profile in online learning plays a critical role in supporting personalized learning. This article uses an information flow-based approach to build the learner profile for supporting personalized learning. The learner profile includes the individual profile to capture the personal features and the community profile to capture the social features in online learning environment.

  14. Adjusting to Social Change - A Multi-Level Analysis in Three Cultures

    Science.gov (United States)

    2013-08-01

    example, coping may be more collective in collectivist , compared to individualist , societies (Chang & Sivam, 2004). Some cultures have a greater sense...AFRL-AFOSR-UK-TR-2013-0041 Adjusting to Social Change - A multi-level Analysis in three cultures Prof Robin Goodwin...COVERED (From – To) 23 May 2012 – 22 May 2013 4. TITLE AND SUBTITLE Adjusting to Social Change - A multi-level Analysis in three cultures

  15. Using the Internet, Online Social Networks and Potentially Incurred Risk: Student Opinions

    Directory of Open Access Journals (Sweden)

    Gintautė Žibėnienė

    2013-08-01

    Full Text Available Regulation of harmful content on the Internet is a soaring problem in the expansion of the information society, and it is being discussed in different European countries. Therefore, it is important to discuss the issue of being safe online: to do research on what children think about when using the Internet, threats experienced while online, to discuss ways of recognising and protecting children from online threats (such as cyber bullying, bullying, abuse, temptations with purpose of sexual harassment, leaking of personal information, spreading, harmful and illegal Internet content, etc.. The research objective of this paper is to present the opinion of gymnasium students on using the Internet, online social networks and likely experienced threats. The methodology—opinion research of the gymnasium students, which was carried out 17–21 December 2012; an analysis of professional target publications and a questionnaire survey were also applied. Analysis of the research findings was based on the analysis methods of quantity analysis (descriptive and analysis of quality content. Statistical findings were analysed applying the software “Statistical Package for the Social Sciences (SPSS 21.0 for Windows.” According to the research of student opinion, it was revealed that the most common student online activities are browsing of chat websites, exchange of videos and other material, viewing, listening and participating in social networks, whereas erotica and viewing of pornography are the rarest activities and are unimportant for students. Online social networks are especially popular among students, as most interviewed students (95.3% have their own profile in social networks. Students mostly visit social networks to communicate, to make friends (77.1% of respondents, however, every second student (60.7% visits them just to spend time, which can be assumed about the problems of students’ leisure time. The vast majority of students think that

  16. FACTOR ANALYSIS OF A SOCIAL SKILLS SCALE FOR HIGH SCHOOL STUDENTS.

    Science.gov (United States)

    Wang, H-Y; Lin, C-K

    2015-10-01

    The objective of this study was to develop a social skills scale for high school students in Taiwan. This study adopted stratified random sampling. A total of 1,729 high school students were included. The students ranged in age from 16 to 18 years. A Social Skills Scale was developed for this study and was designed for classroom teachers to fill out. The test-retest reliability of this scale was tested by Pearson's correlation coefficient. Exploratory factor analysis was used to determine construct validity. The Social Skills Scale had good overall test-retest reliability of .92, and the internal consistency of the five subscales was above .90. The results of the factor analysis showed that the Social Skills Scale covered the five domains of classroom learning skills, communication skills, individual initiative skills, interaction skills, and job-related social skills, and the five factors explained 68.34% of the variance. Thus, the Social Skills Scale had good reliability and validity and would be applicable to and could be promoted for use in schools.

  17. Social Class Differences in Social Integration among Students in Higher Education: A Meta-Analysis and Recommendations for Future Research

    Science.gov (United States)

    Rubin, Mark

    2012-01-01

    A meta-analysis of 35 studies found that social class (socioeconomic status) is related to social integration among students in higher education: Working-class students are less integrated than middle-class students. This relation generalized across students' gender and year of study, as well as type of social class measure (parental education and…

  18. Effect of Leadership Styles, Social Capital, and Social Entrepreneurship on Organizational Effectiveness of Social Welfare Organization in Malaysia: Data Screening and Preliminary Analysis

    OpenAIRE

    Won, Ng Chun; Wan, Chong Yen; Sharif, Mohmad Yazam

    2017-01-01

    The purpose of this paper is to discuss the process of screening, editing and preparation of initial data before any further multivariate analysis of the study concerning effect of leadership styles, social capital and social entrepreneurship on organizational effectiveness of social welfare organization in Malaysia. It is vital to conduct data screening to identify any potential violation of the basic assumptions related to the application of multivariate techniques. Moreover, initial data e...

  19. Profile agreement indices in Rietveld and pattern-fitting analysis

    International Nuclear Information System (INIS)

    Hill, R.J.; Fischer, R.X.

    1990-01-01

    Two definitions of profile agreement indices are now in common use for estimating the degree of fit in Rietveld refinement and in structure-independent pattern-fitting methods of powder diffraction analysis. In the original program written by Rietveld, the background was subtracted and the 'non-peak' regions of the pattern were removed from further consideration in a preliminary data-reduction stage prior to structure refinement. However, the agreement indices used in many of the more recent programs retain the background counts in the observed step intensities and include all portions of the pattern in the sums. These latter definitions are strongly dependent on the signal-to-noise ratio and on the relative amount of 'background-only' regions and do not, therefore, provide a sound basis for comparing the degree of fit of peak profile and crystal structure model refinements in the general case. The extent of this dependence is illustrated quantitatively using conventional and synchrotron X-ray and constant-wavelength and time-of-flight neutron data sets with different inherent background levels and peak densities. The unweighted background-corrected peak-only profile agreement index R' p =Σ i vertical strokeY io -Y ic vertical stroke/Σ i vertical strokeY io -Y ib vertical stroke (and, to a lesser extent, its weighted equivalent) is recommended as the most appropriate criterion of fit for comparative work between diffraction patterns of all kinds. (orig.)

  20. Narcissistic self-esteem or optimal self-esteem? A Latent Profile Analysis of self-esteem and psychological entitlement

    OpenAIRE

    Stronge, Sam; Cichocka, Aleksandra; Sibley, Chris G.

    2016-01-01

    Research into the relationship between self-esteem and narcissism has produced conflicting results, potentially caused by hidden subpopulations that exhibit distinct positive or negative associations. This research uses Latent Profile Analysis to identify profiles within a national panel study (N = 6,471) with differing relationships between psychological entitlement and self-esteem. We identified a narcissistic self-esteem profile (9%) characterised by high entitlement and high self-esteem, ...

  1. Dose profile analysis of small fields in intensity modulated radiotherapy

    Energy Technology Data Exchange (ETDEWEB)

    Medel B, E. [IMSS, Centro Medico Nacional Manuel Avila Camacho, Calle 2 Nte. 2004, Barrio de San Francisco, 72090 Puebla, Pue. (Mexico); Tejeda M, G.; Romero S, K., E-mail: romsakaren@gmail.com [Benemerita Universidad Autonoma de Puebla, Facultad de Ciencias Fisico Matematicas, Av. San Claudio y 18 Sur, Ciudad Universitaria, 72570 Puebla, Pue.(Mexico)

    2015-10-15

    Full text: Small field dosimetry is getting a very important worldwide task nowadays. The use of fields of few centimeters is more common with the introduction of sophisticated techniques of radiation therapy, as Intensity Modulated Radiotherapy (IMRT). In our country the implementation of such techniques is just getting started and whit it the need of baseline data acquisition. The dosimetry under small field conditions represents a challenge for the physicists community. In this work, a dose profile analysis was done, using various types of dosimeters for further comparisons. This analysis includes the study of quality parameters as flatness, symmetry, penumbra, and other in-axis measurements. (Author)

  2. Social media for public health: an exploratory policy analysis.

    Science.gov (United States)

    Fast, Ingrid; Sørensen, Kristine; Brand, Helmut; Suggs, L Suzanne

    2015-02-01

    To accomplish the aims of public health practice and policy today, new forms of communication and education are being applied. Social media are increasingly relevant for public health and used by various actors. Apart from benefits, there can also be risks in using social media, but policies regulating engagement in social media is not well researched. This study examined European public health-related organizations' social media policies and describes the main components of existing policies. This research used a mixed methods approach. A content analysis of social media policies from European institutions, non-government organizations (NGOs) and social media platforms was conducted. Next, individuals responsible for social media in their organization or projects completed a survey about their social media policy. Seventy-five per cent of institutions, NGOs and platforms had a social media policy available. The primary aspects covered within existing policies included data and privacy protection, intellectual property and copyright protection and regulations for the engagement in social media. Policies were intended to regulate staff use, to secure the liability of the institution and social responsibility. Respondents also stressed the importance of self-responsibility when using social media. This study of social media policies for public health in Europe provides a first snapshot of the existence and characteristics of social media policies among European health organizations. Policies tended to focus on legal aspects, rather than the health of the social media user. The effect of such policies on social media adoption and usage behaviour remains to be examined. © The Author 2014. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

  3. Predicting the Industry of Users on Social Media

    OpenAIRE

    Pappas, Konstantinos; Mihalcea, Rada

    2016-01-01

    Automatic profiling of social media users is an important task for supporting a multitude of downstream applications. While a number of studies have used social media content to extract and study collective social attributes, there is a lack of substantial research that addresses the detection of a user's industry. We frame this task as classification using both feature engineering and ensemble learning. Our industry-detection system uses both posted content and profile information to detect ...

  4. Parent Prevention Communication Profiles and Adolescent Substance Use: A Latent Profile Analysis and Growth Curve Model

    Science.gov (United States)

    Choi, Hye Jeong; Miller-Day, Michelle; Shin, YoungJu; Hecht, Michael L.; Pettigrew, Jonathan; Krieger, Janice L.; Lee, JeongKyu; Graham, John W.

    2017-01-01

    This current study identifies distinct parent prevention communication profiles and examines whether youth with different parental communication profiles have varying substance use trajectories over time. Eleven schools in two rural school districts in the Midwestern United States were selected, and 784 students were surveyed at three time points from the beginning of 7th grade to the end of 8th grade. A series of latent profile analyses were performed to identify discrete profiles/subgroups of substance-specific prevention communication (SSPC). The results revealed a 4-profile model of SSPC: Active-Open, Passive-Open, Active-Silent, and Passive-Silent. A growth curve model revealed different rates of lifetime substance use depending on the youth’s SSPC profile. These findings have implications for parenting interventions and tailoring messages for parents to fit specific SSPC profiles. PMID:29056872

  5. Socio-economic profile of the micro-entrepreneur woman in Mexico (Microenterprise as economic and social unit)

    OpenAIRE

    Miguel Ángel Celestino Sánchez; Carmen Silvia González García

    2008-01-01

    To evaluate the situation of the Micro business in México run by women, this study aims to understand the financial and training needs. The HJ biplot is using to determine the profiles of the micro entrepreneur and the cluster analysis of the different metropolitans areas in where we applying the interview.

  6. [Social stigma and the families of patients with tuberculosis: a study based on cluster and multiple correspondence analysis].

    Science.gov (United States)

    Touso, Michelle Mosna; Popolin, Marcela Paschoal; Crispim, Juliane de Almeida; Freitas, Isabela Moreira de; Rodrigues, Ludmila Barbosa Bandeira; Yamamura, Mellina; Pinto, Ione Carvalho; Monroe, Aline Aparecida; Palha, Pedro Fredemir; Ferraudo, Antônio Sérgio; Villa, Tereza Cristina Scatena; Arcêncio, Ricardo Alexandre

    2014-11-01

    The social stigma associated with TB is a challenge facing management of the area of public health care. The aim of this study was to investigate the social stigma in families of patients with TB and identify the profile of those who are affected by the event in relation to socioeconomic and demographic conditions. It is a cross-sectional study that was conducted in 2011 in the city of Ribeirão Preto, state of São Paulo, Brazil, with a sample of 110 individuals. The data were analyzed using the univariate descriptive technique and cluster and multiple correspondence assessment. The stigmatized groups tend to have lower scholarity, incipient access to the media and little understanding about TB, as opposed to those that have higher educational levels, continuous access to the media, consider themselves well informed and show proactive attitudes to deal with the disease. The identification of varied profiles highlights the need to develop health interventions to cater to the singularities of families with respect to the social stigma of the disease.

  7. Friedel's salt profiles from thermogravimetric analysis and thermodynamic modelling of Portland cement-based mortars exposed to sodium chloride solution

    DEFF Research Database (Denmark)

    Shi, Zhenguo; Geiker, Mette Rica; Lothenbach, Barbara

    2017-01-01

    Thermogravimetric analysis (TGA), powder X-ray diffraction (XRD) and thermodynamic modelling have been used to obtain Friedel's salt profiles for saturated mortar cylinders exposed to a 2.8 M NaCl solution. Comparison of the measured Friedel's salt profiles with the total chloride profiles...

  8. Computing Resource And Work Allocations Using Social Profiles

    Directory of Open Access Journals (Sweden)

    Peter Lavin

    2013-01-01

    Full Text Available If several distributed and disparate computer resources exist, many of whichhave been created for different and diverse reasons, and several large scale com-puting challenges also exist with similar diversity in their backgrounds, then oneproblem which arises in trying to assemble enough of these resources to addresssuch challenges is the need to align and accommodate the different motivationsand objectives which may lie behind the existence of both the resources andthe challenges. Software agents are offered as a mainstream technology formodelling the types of collaborations and relationships needed to do this. Asan initial step towards forming such relationships, agents need a mechanism toconsider social and economic backgrounds. This paper explores addressing so-cial and economic differences using a combination of textual descriptions knownas social profiles and search engine technology, both of which are integrated intoan agent technology.

  9. Proteome profiling analysis of human ovarian cancer serum samples

    International Nuclear Information System (INIS)

    Cognetti, F.; Citro, G.

    2009-01-01

    Mass Spectrometry represents a powerful tool in cancer research to discovery of potential bio markers through peak identification from serum profiling. By using high resolution MALDITOF and bioinformatic analysis almost 400 serum sample homogeneously distributed between biopsy confirmed ovarian cancer and high risk serum samples were analyzed. Each serum sample run in duplicate and whole serum sample preparation procedure has been performed by Hamilton Star Robot in order to reduce bias and the replicates with a low Pearson coefficient are removed. After automated reverse phase magnetic beads separation the samples were tested in MALDI-TOF

  10. Static, Dynamic and Semantic Dimensions: Towards a Multidisciplinary Approach of Social Networks Analysis

    Science.gov (United States)

    Thovex, Christophe; Trichet, Francky

    The objective of our work is to extend static and dynamic models of Social Networks Analysis (SNA), by taking conceptual aspects of enterprises and institutions social graph into account. The originality of our multidisciplinary work is to introduce abstract notions of electro-physic to define new measures in SNA, for new decision-making functions dedicated to Human Resource Management (HRM). This paper introduces a multidimensional system and new measures: (1) a tension measure for social network analysis, (2) an electrodynamic, predictive and semantic system for recommendations on social graphs evolutions and (3) a reactance measure used to evaluate the individual stress at work of the members of a social network.

  11. Prevalence of stress references on college freshmen Facebook profiles.

    Science.gov (United States)

    Egan, Katie G; Moreno, Megan A

    2011-10-01

    Stress is common among college students and associated with adverse health outcomes. This study used the social networking Web site Facebook to identify self-reported stress and associated conditions among college students. Public Facebook profiles of undergraduate freshman at a large Midwestern State University (n = 300) were identified using a Facebook search. Content analysis of Facebook profiles included demographic information and displayed references to stress, weight concerns, depressive symptoms, and alcohol. The mean reported age was 18.4 years, and the majority of profile owners were female (62%). Stress references were displayed on 37% of the profiles, weight concerns on 6%, depressive symptoms on 24%, and alcohol on 73%. The display of stress references was associated with female sex (odds ratio [OR], 2.81; confidence interval [CI], 1.7-4.7), weight concerns (OR, 5.36; CI, 1.87-15.34), and depressive symptoms (OR, 2.7; CI, 1.57-4.63). No associations were found between stress and alcohol references. College freshmen frequently display references to stress on Facebook profiles with prevalence rates similar to self-reported national survey data. Findings suggest a positive association between referencing stress and both weight concerns and depressive symptoms. Facebook may be a useful venue to identify students at risk for stress-related conditions and to disseminate information about campus resources to these students.

  12. The HIV Risk Profiles of Latino Sexual Minorities and Transgender Persons Who Use Websites or Apps Designed for Social and Sexual Networking.

    Science.gov (United States)

    Sun, Christina J; Reboussin, Beth; Mann, Lilli; Garcia, Manuel; Rhodes, Scott D

    2016-02-01

    The use of websites and GPS-based mobile applications ("apps") designed for social and sexual networking has been associated with increased HIV risk; however, little is known about Latino sexual minorities' and transgender persons' use of these websites and apps and the risk profiles of those who use them compared with those who do not. Data from 167 participants who completed the baseline survey of a community-level HIV prevention intervention, which harnesses the social networks of Latino sexual minorities and transgender persons, were analyzed. One quarter of participants (28.74%, n = 48) reported using websites or apps designed for social and sexual networking, and 119 (71.26%) reported not using websites or apps designed for social and sexual networking. Those who used websites or apps were younger and reported more male sex partners, a sexually transmitted disease diagnosis, and illicit drug use other than marijuana. HIV prevention interventions for those who use websites or apps should consider addressing these risks for HIV. © 2015 Society for Public Health Education.

  13. Cluster analysis of residential heat load profiles and the role of technical and household characteristics

    DEFF Research Database (Denmark)

    Carmo, Carolina; Christensen, Toke Haunstrup

    2016-01-01

    of the temporality of the energy demand is needed. This paper contributes to this by focusing on the daily load profiles of energy demand for heating of Danish dwellings with heat pumps. Based on hourly recordings from 139 dwellings and employing cluster and regression analysis, the paper explores patterns...... (typologies) in daily heating load profiles and how these relate to socio-economic and technical characteristics of the included households. The study shows that the load profiles vary according to the external load conditions. Two main clusters were identified for both weekdays and weekends and across load...

  14. Socio-economic profile of the micro-entrepreneur woman in Mexico (Microenterprise as economic and social unit

    Directory of Open Access Journals (Sweden)

    Miguel Ángel Celestino Sánchez

    2008-03-01

    Full Text Available To evaluate the situation of the Micro business in México run by women, this study aims to understand the financial and training needs. The HJ biplot is using to determine the profiles of the micro entrepreneur and the cluster analysis of the different metropolitans areas in where we applying the interview.

  15. Victimization and Human Immunodeficiency Virus-Related Risk Among Transgender Women in India: A Latent Profile Analysis.

    Science.gov (United States)

    Willie, Tiara C; Chakrapani, Venkatesan; White Hughto, Jaclyn M; Kershaw, Trace S

    2017-12-01

    Globally, transgender women (TGW) experience multiple forms of victimization such as violence and discrimination that can place them at risk for poor sexual health. To date, research overlooks the heterogeneity in experiences of victimization among TGW. Furthermore, few studies have examined the association between victimization and sexual risk among TGW in India, despite the high burden of HIV and victimization in this community. Latent profile analysis was performed to identify patterns of victimization in a convenience sample of 299 TGW recruited from nongovernmental organizations across four states in India. Analysis of covariance was performed to examine differences in sexual risk (i.e., alcohol use before sex; inconsistent condom use with a male regular partner, a male causal partner, and a male paying partner; and having multiple sexual partners) between latent profiles. Five distinct profiles of Indian TGW were identified based on the type and severity of victimization: (1) Low victimization, (2) High verbal police victimization, (3) High verbal and physical police victimization, (4) Moderate victimization, and (5) High victimization. While controlling for age, education, income, HIV status, and marital status, results revealed that TGW in the moderate victimization and high victimization profiles had higher sexual risk than TGW in the low victimization and high verbal police victimization profiles. In addition, TGW in high verbal and physical police victimization profile had higher sexual risk than TGW in low victimization profile. These findings underscore the importance of tailoring sexual risk reduction interventions to the specific needs of TGW based on patterns of victimization.

  16. Integrative Analysis of Complex Cancer Genomics and Clinical Profiles Using the cBioPortal

    Science.gov (United States)

    Gao, Jianjiong; Aksoy, Bülent Arman; Dogrusoz, Ugur; Dresdner, Gideon; Gross, Benjamin; Sumer, S. Onur; Sun, Yichao; Jacobsen, Anders; Sinha, Rileen; Larsson, Erik; Cerami, Ethan; Sander, Chris; Schultz, Nikolaus

    2014-01-01

    The cBioPortal for Cancer Genomics (http://cbioportal.org) provides a Web resource for exploring, visualizing, and analyzing multidimensional cancer genomics data. The portal reduces molecular profiling data from cancer tissues and cell lines into readily understandable genetic, epigenetic, gene expression, and proteomic events. The query interface combined with customized data storage enables researchers to interactively explore genetic alterations across samples, genes, and pathways and, when available in the underlying data, to link these to clinical outcomes. The portal provides graphical summaries of gene-level data from multiple platforms, network visualization and analysis, survival analysis, patient-centric queries, and software programmatic access. The intuitive Web interface of the portal makes complex cancer genomics profiles accessible to researchers and clinicians without requiring bioinformatics expertise, thus facilitating biological discoveries. Here, we provide a practical guide to the analysis and visualization features of the cBioPortal for Cancer Genomics. PMID:23550210

  17. Social sensing of floods in the UK.

    Science.gov (United States)

    Arthur, Rudy; Boulton, Chris A; Shotton, Humphrey; Williams, Hywel T P

    2018-01-01

    "Social sensing" is a form of crowd-sourcing that involves systematic analysis of digital communications to detect real-world events. Here we consider the use of social sensing for observing natural hazards. In particular, we present a case study that uses data from a popular social media platform (Twitter) to detect and locate flood events in the UK. In order to improve data quality we apply a number of filters (timezone, simple text filters and a naive Bayes 'relevance' filter) to the data. We then use place names in the user profile and message text to infer the location of the tweets. These two steps remove most of the irrelevant tweets and yield orders of magnitude more located tweets than we have by relying on geo-tagged data. We demonstrate that high resolution social sensing of floods is feasible and we can produce high-quality historical and real-time maps of floods using Twitter.

  18. Glancing up or down: Mood management and selective social comparisons on social networking sites.

    NARCIS (Netherlands)

    Johnson, B.K.; Knobloch-Westerwick, S.

    2014-01-01

    Social networking sites (SNS) provide opportunities for mood management through selective exposure. This study tested the prediction that negative mood fosters self-enhancing social comparisons to SNS profiles. Participants were induced into positive or negative moods and then browsed manipulated

  19. Revisiting Social Network Utilization by Physicians-in-Training.

    Science.gov (United States)

    Black, Erik W; Thompson, Lindsay A; Duff, W Patrick; Dawson, Kara; Saliba, Heidi; Black, Nicole M Paradise

    2010-06-01

    To measure and compare the frequency and content of online social networking among 2 cohorts of medical students and residents (2007 and 2009). Using the online social networking application Facebook, we evaluated social networking profiles for 2 cohorts of medical students (n  =  528) and residents (n  =  712) at the University of Florida in Gainesville. Objective measures included existence of a profile, whether it was made private, and whether any personally identifiable information was included. Subjective outcomes included photographic content, affiliated social groups, and personal information not generally disclosed in a doctor-patient encounter. We compared our results to our previously published and reported data from 2007. Social networking continues to be common amongst physicians-in-training, with 39.8% of residents and 69.5% of medical students maintaining Facebook accounts. Residents' participation significantly increased (P privacy settings (P privacy and the expansive and impersonal networks of online "friends" who may view profiles.

  20. Social distance and behavioral attributes of developmentally handicapped and normal children.

    Science.gov (United States)

    Sherman, L W; Burgess, D E

    1985-12-01

    20 behavioral attributes predicting social distance were examined among 101 junior high school students in six classrooms. The sample included 8 developmentally handicapped students, of whom at least one of each was mainstreamed into each classroom. Subjects were predominantly white, middle-class, suburban midwesterners. A sociometric nomination measure was used to obtain behavioral attribute profiles of the students which were then used to predict a psychometric measure of social distance. Handicapped students were not more socially distant than their normal peers. Factor analysis of the 20 behavioral attributes yielded four factors, three of which were significant predictors of classroom social distance, accounting for better than half the variance in social distance. These were described as Incompetent/Unassertive, Positive/Active/Assertive, and Passive/Unassertive. Social rejection in mainstreamed classrooms is more a function of perceived behavioral attributes than the label developmentally handicapped.

  1. Crafting a positive professional digital profile to augment your practice.

    Science.gov (United States)

    Kraakevik, Jeff

    2016-02-01

    A digital profile is the sum content about a person on the Internet. A digital profile can be composed of personal or professional information shared on public Web sites posted personally or by others. One of the most effective ways to build a positive professional digital profile is through social media. It is increasingly important to maintain a positive digital profile as others mine the Internet to find out about a professional prior to meeting him or her. As the digital environment continues to grow, it will become increasingly difficult to neglect a professional digital profile without potential negative consequences. There are many benefits to creating a digital presence and using the tools available to learn about neurology and interact with other professionals and patients in ways that were not possible in the past. The spread of social media to a large part of the population makes it unlikely to go away.

  2. An assessment of professionalism on students' Facebook profiles.

    Science.gov (United States)

    Nason, K N; Byrne, H; Nason, G J; O'Connell, B

    2018-02-01

    With the advent of social media, healthcare professionals not only need to be conscious of professionalism in their face-to-face interactions but also in the electronic environment. The aim of this study was to assess the level of online professionalism on Facebook profiles available for public viewing of students from a dental school. A search was performed via a new Facebook account of all students in the University Dental School (dental hygiene, dental nursing, dental science and dental technology). Profiles were categorised as 'private' or 'public'. Demographic details and photographs/comments of unprofessional behaviour were recorded for each individual Facebook profile. Each profile was subsequently scored with regard to professionalism based on a previously published score. There are a total of 287 students in the dental school. Of these, 62% (n = 177) had a Facebook account. Three per cent (n = 6) had a public account (fully accessible) whilst 97% (n = 171) had a private account (limited access); 36% (n = 63) of students mentioned the dental school/hospital on their profile; 34% (n = 60) had questionable content on their profile whilst 3% (n = 6) had definite violations of professionalism on their profile; and 25% (n = 44) had unprofessional photographs on their profile. Of those with unprofessional content, 52% (n = 23) of these had a documented affiliation with the dental school also visible on their profile. There was a concerning level of unprofessional content visible on students' Facebook profiles. Students need to be fully aware of their professional responsibility in the setting of social media. © 2016 The Authors. European Journal of Dental Education Published by John Wiley & Sons Ltd.

  3. BERCENI VILLAGE - A SOCIAL-ECONOMICAL ANALYSIS

    Directory of Open Access Journals (Sweden)

    Adina IORGA

    2014-06-01

    Full Text Available Rural modernization aims at maintaining rural societies through occupational diversification that will improvequality of life and avoid rural exodus. It aims to acquire some features of the modern world such as those related totechnical, increased productivity, infrastructure, whereby rural community enriches its identity, acquiring newmeanings.This study is a close social-economical analysis of the countryside households of Berceni village. Berceniis in the southern county of Ilfov near Bucharest. It is based on the statistical data provided by National Institute ofStatistics. The data have been processed into the following indicators:age structure and gender, births and deaths,feminization, migration .Considering that human resources is the main factor in developing and moderinization ofrural space, this study is aimed to investigate as well, the posibility of diversifying inhabitants’ occupationsaccording to pshicologycal, social and economical resources.

  4. Analysis of motivational profiles of satisfaction and importance of physical education in high school adolescents.

    Science.gov (United States)

    Granero-Gallegos, Antonio; Baena-Extremera, Antonio; Pérez-Quero, Francisco J; Ortiz-Camacho, Maria M; Bracho-Amador, Clara

    2012-01-01

    The purpose of this study was to analyze the motivational profiles of satisfaction with and importance of physical education in high school students and its relation with gender and the practice of sport. The sample comprised 2002 students aged from 12 to 19 who completed the Sport Motivation Scale (Núñez et al., 2006), the Sport Satisfaction Instrument (Baena-Extremera et al., 2012) and the Importance of Physical Education Scale (Moreno et al., 2009). Descriptive analyzes, correlations between the scales, a cluster analysis for profiles, and a MANOVA were conducted to examine differences by gender. Three clusters (profiles) were identified. The first profile identified was "moderate" motivation (n = 463) and was associated with boys who practice physical activity for less than 3 hours per week. The second profile identified was "low" motivation (n = 545) and was associated mainly with girls who practice physical activity for less than 3 hours per week. And lastly the third profile identified was "high" motivation (n = 910), which was found to be greater in boys who practiced physical exercise for more than 3 hours a week.

  5. A Profile Analysis on the Effectiveness of Two kinds of Feeds on ...

    African Journals Online (AJOL)

    A Profile Analysis on the Effectiveness of Two kinds of Feeds on Poultry. Birds. Onuoha, Desmond O+. and Opara Pius N*. +Department of Mathematics and Statistics, Federal ... birds using chicken from Michika Farm in Igwuruta in Port Harcourt, Rivers State as a case study. .... easy to manage, regularly lay eggs, disease.

  6. Coping profiles, perceived stress and health-related behaviors: a cluster analysis approach.

    Science.gov (United States)

    Doron, Julie; Trouillet, Raphael; Maneveau, Anaïs; Ninot, Grégory; Neveu, Dorine

    2015-03-01

    Using cluster analytical procedure, this study aimed (i) to determine whether people could be differentiated on the basis of coping profiles (or unique combinations of coping strategies); and (ii) to examine the relationships between these profiles and perceived stress and health-related behaviors. A sample of 578 French students (345 females, 233 males; M(age)= 21.78, SD(age)= 2.21) completed the Perceived Stress Scale-14 ( Bruchon-Schweitzer, 2002), the Brief COPE ( Muller and Spitz, 2003) and a series of items measuring health-related behaviors. A two-phased cluster analytic procedure (i.e. hierarchical and non-hierarchical-k-means) was employed to derive clusters of coping strategy profiles. The results yielded four distinctive coping profiles: High Copers, Adaptive Copers, Avoidant Copers and Low Copers. The results showed that clusters differed significantly in perceived stress and health-related behaviors. High Copers and Avoidant Copers displayed higher levels of perceived stress and engaged more in unhealthy behavior, compared with Adaptive Copers and Low Copers who reported lower levels of stress and engaged more in healthy behaviors. These findings suggested that individuals' relative reliance on some strategies and de-emphasis on others may be a more advantageous way of understanding the manner in which individuals cope with stress. Therefore, cluster analysis approach may provide an advantage over more traditional statistical techniques by identifying distinct coping profiles that might best benefit from interventions. Future research should consider coping profiles to provide a deeper understanding of the relationships between coping strategies and health outcomes and to identify risk groups. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  7. Social cost-benefit analysis and nuclear futures

    International Nuclear Information System (INIS)

    Pearce, D.W.

    1979-01-01

    The usefulness of cost-benefit analysis in making nuclear power investment decisions is considered. The essence of social cost-benefit analysis is outlined and shown to be unavoidably value-laden. As a case study six issues relevant to the decision to build on oxide fuel reprocessing plant (THORP) are examined. The potential practical value of using cost-benefit analysis as an aid to decision-making is considered for each of these issues. It is concluded that cost-benefit approach is of limited value in the nuclear power case because of its inapplicability to such issues as the liberty of the individual and nuclear weapons proliferation. (author)

  8. About communication in social media – an analysis of the Polish Presidency Facebook Profile from a perspective of social communication theory

    Directory of Open Access Journals (Sweden)

    Martyna Tomiczek

    2012-06-01

    Full Text Available The half year of the Polish Presidency on the one hand was a great challenge but from the other hand a tremendous chance to promote the country and society. Activities were taken up in many different areas – using new technologies was an important part of the project, including new media which by the creation of the Polish Presidency Facebook Profile turned out to be an integral part of Presidency. Using the possibility of providing a two-way communication proved that the potential of Facebook was understood. Running the fan page also showed a new face of diplomacy putting it in the area of public diplomacy.

  9. A continuous OSL scanning method for analysis of radiation depth-dose profiles in bricks

    DEFF Research Database (Denmark)

    Bøtter-Jensen, L.; Jungner, H.; Poolton, N.R.J.

    1995-01-01

    This article describes the development of a method for directly measuring radiation depth-dose profiles from brick, tile and porcelain cores, without the need for sample separation techniques. For the brick cores, examples are shown of the profiles generated by artificial irradiation using...... the different photon energies from Cs-137 and Co-60 gamma sources; comparison is drawn with both the theoretical calculations derived from Monte Carlo simulations, as well as experimental measurements made using more conventional optically stimulated luminescence methods of analysis....

  10. Reproducibility of Cognitive Profiles in Psychosis Using Cluster Analysis.

    Science.gov (United States)

    Lewandowski, Kathryn E; Baker, Justin T; McCarthy, Julie M; Norris, Lesley A; Öngür, Dost

    2018-04-01

    Cognitive dysfunction is a core symptom dimension that cuts across the psychoses. Recent findings support classification of patients along the cognitive dimension using cluster analysis; however, data-derived groupings may be highly determined by sampling characteristics and the measures used to derive the clusters, and so their interpretability must be established. We examined cognitive clusters in a cross-diagnostic sample of patients with psychosis and associations with clinical and functional outcomes. We then compared our findings to a previous report of cognitive clusters in a separate sample using a different cognitive battery. Participants with affective or non-affective psychosis (n=120) and healthy controls (n=31) were administered the MATRICS Consensus Cognitive Battery, and clinical and community functioning assessments. Cluster analyses were performed on cognitive variables, and clusters were compared on demographic, cognitive, and clinical measures. Results were compared to findings from our previous report. A four-cluster solution provided a good fit to the data; profiles included a neuropsychologically normal cluster, a globally impaired cluster, and two clusters of mixed profiles. Cognitive burden was associated with symptom severity and poorer community functioning. The patterns of cognitive performance by cluster were highly consistent with our previous findings. We found evidence of four cognitive subgroups of patients with psychosis, with cognitive profiles that map closely to those produced in our previous work. Clusters were associated with clinical and community variables and a measure of premorbid functioning, suggesting that they reflect meaningful groupings: replicable, and related to clinical presentation and functional outcomes. (JINS, 2018, 24, 382-390).

  11. Emotional labor actors: a latent profile analysis of emotional labor strategies.

    Science.gov (United States)

    Gabriel, Allison S; Daniels, Michael A; Diefendorff, James M; Greguras, Gary J

    2015-05-01

    Research on emotional labor focuses on how employees utilize 2 main regulation strategies-surface acting (i.e., faking one's felt emotions) and deep acting (i.e., attempting to feel required emotions)-to adhere to emotional expectations of their jobs. To date, researchers largely have considered how each strategy functions to predict outcomes in isolation. However, this variable-centered perspective ignores the possibility that there are subpopulations of employees who may differ in their combined use of surface and deep acting. To address this issue, we conducted 2 studies that examined surface acting and deep acting from a person-centered perspective. Using latent profile analysis, we identified 5 emotional labor profiles-non-actors, low actors, surface actors, deep actors, and regulators-and found that these actor profiles were distinguished by several emotional labor antecedents (positive affectivity, negative affectivity, display rules, customer orientation, and emotion demands-abilities fit) and differentially predicted employee outcomes (emotional exhaustion, job satisfaction, and felt inauthenticity). Our results reveal new insights into the nature of emotion regulation in emotional labor contexts and how different employees may characteristically use distinct combinations of emotion regulation strategies to manage their emotional expressions at work. (c) 2015 APA, all rights reserved.

  12. Social cognition and the brain: a meta-analysis.

    Science.gov (United States)

    Van Overwalle, Frank

    2009-03-01

    This meta-analysis explores the location and function of brain areas involved in social cognition, or the capacity to understand people's behavioral intentions, social beliefs, and personality traits. On the basis of over 200 fMRI studies, it tests alternative theoretical proposals that attempt to explain how several brain areas process information relevant for social cognition. The results suggest that inferring temporary states such as goals, intentions, and desires of other people-even when they are false and unjust from our own perspective--strongly engages the temporo-parietal junction (TPJ). Inferring more enduring dispositions of others and the self, or interpersonal norms and scripts, engages the medial prefrontal cortex (mPFC), although temporal states can also activate the mPFC. Other candidate tasks reflecting general-purpose brain processes that may potentially subserve social cognition are briefly reviewed, such as sequence learning, causality detection, emotion processing, and executive functioning (action monitoring, attention, dual task monitoring, episodic memory retrieval), but none of them overlaps uniquely with the regions activated during social cognition. Hence, it appears that social cognition particularly engages the TPJ and mPFC regions. The available evidence is consistent with the role of a TPJ-related mirror system for inferring temporary goals and intentions at a relatively perceptual level of representation, and the mPFC as a module that integrates social information across time and allows reflection and representation of traits and norms, and presumably also of intentionality, at a more abstract cognitive level.

  13. Computational Social Network Analysis

    CERN Document Server

    Hassanien, Aboul-Ella

    2010-01-01

    Presents insight into the social behaviour of animals (including the study of animal tracks and learning by members of the same species). This book provides web-based evidence of social interaction, perceptual learning, information granulation and the behaviour of humans and affinities between web-based social networks

  14. Effect of prenatal mindfulness training on depressive symptom severity through 18-months postpartum: A latent profile analysis.

    Science.gov (United States)

    Felder, Jennifer N; Roubinov, Danielle; Bush, Nicole R; Coleman-Phox, Kimberly; Vieten, Cassandra; Laraia, Barbara; Adler, Nancy E; Epel, Elissa

    2018-02-28

    We examined whether prenatal mindfulness training was associated with lower depressive symptoms through 18-months postpartum compared to treatment as usual (TAU). A controlled, quasi-experimental trial compared prenatal mindfulness training (MMT) to TAU. We collected depressive symptom data at post-intervention, 6-, and 18-months postpartum. Latent profile analysis identified depressive symptom profiles, and multinomial logistic regression examined whether treatment condition predicted profile. Three depressive symptom severity profiles emerged: none/minimal, mild, and moderate. Adjusting for relevant covariates, MMT participants were less likely than TAU participants to be in the moderate profile than the none/minimal profile (OR = 0.13, 95% CI = 0.03-0.54, p = .005). Prenatal mindfulness training may have benefits for depressive symptoms during the transition to parenthood. © 2018 Wiley Periodicals, Inc.

  15. Analysis and modeling of complex data in behavioral and social sciences

    CERN Document Server

    Okada, Akinori; Ragozini, Giancarlo; Weihs, Claus

    2014-01-01

    This volume presents theoretical developments, applications and computational methods for the analysis and modeling in behavioral and social sciences where data are usually complex to explore and investigate. The challenging proposals provide a connection between statistical methodology and the social domain with particular attention to computational issues in order to effectively address complicated data analysis problems. The papers in this volume stem from contributions initially presented at the joint international meeting JCS-CLADAG held in Anacapri (Italy) where the Japanese Classification Society and the Classification and Data Analysis Group of the Italian Statistical Society had a stimulating scientific discussion and exchange.

  16. COMPETITIVE SOCIAL POSITION OF THE COUNTRY: A COMPARATIVE ANALYSIS

    Directory of Open Access Journals (Sweden)

    I. Chornodid

    2014-01-01

    Full Text Available The article reveals the essence of the country's competitive position, a comparative analysis according to international indexes and indicators is provided. Also the competitive social benefits of the country are described. The real situation of the competitive social benefits is considered on international standards and assessments. The estimation of the position of Ukraine is given in terms of freedom, network readiness index, the index of competitiveness of travel and tourism.

  17. In situ diffraction profile analysis during tensile deformation motivated by molecular dynamics

    International Nuclear Information System (INIS)

    Van Swygenhoven, H.; Budrovic, Z.; Derlet, P.M.; Froseth, A.G.; Van Petegem, S.

    2005-01-01

    Molecular dynamics simulations can provide insight into the slip mechanism at the atomic scale and suggest that in nanocrystalline metals dislocations are nucleated and absorbed by the grain boundaries. However, this technique is limited by very short simulation times. Using suggestions from molecular dynamics, we have developed a new in situ X-ray diffraction technique wherein the profile analysis of several Bragg diffraction peaks during tensile deformation is possible. Combining experiment and careful structural analysis the results confirm the suggestions from atomistic simulations

  18. Following User Pathways: Cross Platform and Mixed Methods Analysis in Social Media Studies

    DEFF Research Database (Denmark)

    Hall, Margeret; Mazarakis, Athanasios; Peters, Isabella

    2016-01-01

    is the mixed method approach (e.g. qualitative and quantitative methods) in order to better understand how users and society interacts online. The workshop 'Following User Pathways' brings together a community of researchers and professionals to address methodological, analytical, conceptual, and technological......Social media and the resulting tidal wave of available data have changed the ways and methods researchers analyze communities at scale. But the full potential for social scientists (and others) is not yet achieved. Despite the popularity of social media analysis in the past decade, few researchers...... challenges and opportunities of cross-platform, mixed method analysis in social media ecosystems....

  19. Application of factor analysis in psychological diagnostics (sample: study of students’ social safety

    Directory of Open Access Journals (Sweden)

    Pavel Aleksandrovich Kislyakov

    2015-10-01

    Our recommendations for the use of factor analysis, with necessary restrictions and clear reasons of a possible ambiguity of solutions, will be useful to everyone interested in mastering an adequate mathematical tool for solving problems pertaining to the humanities, in particular, those of practical psychology. As a practical example is presented the research of the psychological factors which provide students’ social safety. With the help of the factor analysis relevant personal and professional qualities of a teacher were revealed which are the subjective factors of students’ social safety, namely: social anticipation, socio-psychological stress resistance, social tolerance, professional orientation, responsibility, communication skills.

  20. Anxiety and Antisocial Behavior: The Moderating Role of Perceptions of Social Prominence among Incarcerated Females

    Science.gov (United States)

    Monahan, Kathryn C.; Goldweber, Aska; Meyer, Kristen; Cauffman, Elizabeth

    2012-01-01

    The present study examines how perceptions of social prominence and attitudes toward antisocial behavior among peers moderate the association between anxiety and antisocial behavior among incarcerated females. Latent profile analysis identified two classes of females distinguished by their perceptions and attitudes. Individuals in both classes…

  1. Comparing the democratic value of Facebook discussions across the profiles of Spanish political candidates during the 2011 General Election

    Directory of Open Access Journals (Sweden)

    Lidia Valera Ordaz

    2017-03-01

    Full Text Available This article examines the democratic value of user-generated comments on the Facebook profiles of three Spanish candidates during the Spanish General Election campaign of 2011 through a content analysis that operationalizes deliberative democracy. The findings show that these online spaces do not meet deliberative standards, but that they still serve democratic functions, such as citizen self-expression, democratic socialization and reinforcement of social cohesion among party activists and sympathizers. Moreover, results indicate that democratic value might vary depending on the size of the party where talk takes place. Political conversation on the walls of hegemonic candidates who belong to big consolidated political parties is mostly oriented towards self-expression and features some ideological diversity, so that individuals are sporadically confronted with diversity. For its part, talk on the Facebook profile of the minor candidate lacks fundamental disagreement but includes more in-group interaction, allowing minority ideological spheres for the cultivation of social cohesion and the construction of collective narratives in favorable discursive conditions.

  2. Applied quantitative analysis in the social sciences

    CERN Document Server

    Petscher, Yaacov; Compton, Donald L

    2013-01-01

    To say that complex data analyses are ubiquitous in the education and social sciences might be an understatement. Funding agencies and peer-review journals alike require that researchers use the most appropriate models and methods for explaining phenomena. Univariate and multivariate data structures often require the application of more rigorous methods than basic correlational or analysis of variance models. Additionally, though a vast set of resources may exist on how to run analysis, difficulties may be encountered when explicit direction is not provided as to how one should run a model

  3. Potential benefits and harms of a peer support social network service on the internet for people with depressive tendencies: qualitative content analysis and social network analysis.

    Science.gov (United States)

    Takahashi, Yoshimitsu; Uchida, Chiyoko; Miyaki, Koichi; Sakai, Michi; Shimbo, Takuro; Nakayama, Takeo

    2009-07-23

    Internet peer support groups for depression are becoming popular and could be affected by an increasing number of social network services (SNSs). However, little is known about participant characteristics, social relationships in SNSs, and the reasons for usage. In addition, the effects of SNS participation on people with depression are rather unknown. The aim was to explore the potential benefits and harms of an SNS for depression based on a concurrent triangulation design of mixed methods strategy, including qualitative content analysis and social network analysis. A cross-sectional Internet survey of participants, which involved the collection of SNS log files and a questionnaire, was conducted in an SNS for people with self-reported depressive tendencies in Japan in 2007. Quantitative data, which included user demographics, depressive state, and assessment of the SNS (positive vs not positive), were statistically analyzed. Descriptive contents of responses to open-ended questions concerning advantages and disadvantages of SNS participation were analyzed using the inductive approach of qualitative content analysis. Contents were organized into codes, concepts, categories, and a storyline based on the grounded theory approach. Social relationships, derived from data of "friends," were analyzed using social network analysis, in which network measures and the extent of interpersonal association were calculated based on the social network theory. Each analysis and integration of results were performed through a concurrent triangulation design of mixed methods strategy. There were 105 participants. Median age was 36 years, and 51% (36/71) were male. There were 37 valid respondents; their number of friends and frequency of accessing the SNS were significantly higher than for invalid/nonrespondents (P = .008 and P = .003). Among respondents, 90% (28/31) were mildly, moderately, or severely depressed. Assessment of the SNS was performed by determining the access

  4. Potential Benefits and Harms of a Peer Support Social Network Service on the Internet for People With Depressive Tendencies: Qualitative Content Analysis and Social Network Analysis

    Science.gov (United States)

    Takahashi, Yoshimitsu; Uchida, Chiyoko; Miyaki, Koichi; Sakai, Michi; Shimbo, Takuro

    2009-01-01

    Background Internet peer support groups for depression are becoming popular and could be affected by an increasing number of social network services (SNSs). However, little is known about participant characteristics, social relationships in SNSs, and the reasons for usage. In addition, the effects of SNS participation on people with depression are rather unknown. Objective The aim was to explore the potential benefits and harms of an SNS for depression based on a concurrent triangulation design of mixed methods strategy, including qualitative content analysis and social network analysis. Methods A cross-sectional Internet survey of participants, which involved the collection of SNS log files and a questionnaire, was conducted in an SNS for people with self-reported depressive tendencies in Japan in 2007. Quantitative data, which included user demographics, depressive state, and assessment of the SNS (positive vs not positive), were statistically analyzed. Descriptive contents of responses to open-ended questions concerning advantages and disadvantages of SNS participation were analyzed using the inductive approach of qualitative content analysis. Contents were organized into codes, concepts, categories, and a storyline based on the grounded theory approach. Social relationships, derived from data of “friends,” were analyzed using social network analysis, in which network measures and the extent of interpersonal association were calculated based on the social network theory. Each analysis and integration of results were performed through a concurrent triangulation design of mixed methods strategy. Results There were 105 participants. Median age was 36 years, and 51% (36/71) were male. There were 37 valid respondents; their number of friends and frequency of accessing the SNS were significantly higher than for invalid/nonrespondents (P = .008 and P = .003). Among respondents, 90% (28/31) were mildly, moderately, or severely depressed. Assessment of the SNS was

  5. [Communicative and social-adaptive profile in children with autism spectrum disorder: a new approach based on the DSM-5 criteria].

    Science.gov (United States)

    Garrido, D; Garcia-Fernandez, M; Garcia-Retamero, R; Carballo, G

    2017-07-16

    Following the adoption of the new international diagnosis classification from the Diagnostic and Statistical Manual (DSM-5), autism spectrum disorder (ASD) has been established as a dimensional category that includes other disorders that were previously considered as separate entities. Previous research has shown that some people with this disorder exhibit different communicative and linguistic profiles. Therefore, contradictory results could be found among people who receive the same diagnosis. To distinguish structural language aspects (expression and comprehension), interactive aspects (pragmatics), and social adaptation between children with an ASD-level 1 of support and children with typical development. Seventeen children with Asperger syndrome (according to the DSM-IV-TR), and 20 children with typical development between 7 and 12 years old. We have equated diagnosis of Asperger syndrome with ASD-level 1 of support. We have evaluated intelligence quotient, communication, and social adaptation with direct and indirect standardized parental scales. We have found significant differences in comprehension (p = 0.025), interaction (p = 0.001), and social adaptation (p = 0.001) between the two groups. Subjects with ASD-level 1 of support demonstrate an average intelligence quotient, and good expressive structure (syntax and semantic level), which may be different from other children who receive the same diagnosis, due to the wide heterogeneity of the disorder. Nevertheless, our subjects have problems related to comprehension of grammar structure, pragmatics, and social adaptation. These difficulties could be related to emotional and social problems.

  6. Reconstruction and analysis of temperature and density spatial profiles inertial confinement fusion implosion cores

    International Nuclear Information System (INIS)

    Mancini, R. C.

    2007-01-01

    We discuss several methods for the extraction of temperature and density spatial profiles in inertial confinement fusion implosion cores based on the analysis of the x-ray emission from spectroscopic tracers added to the deuterium fuel. The ideas rely on (1) detailed spectral models that take into account collisional-radiative atomic kinetics, Stark broadened line shapes, and radiation transport calculations, (2) the availability of narrow-band, gated pinhole and slit x-ray images, and space-resolved line spectra of the core, and (3) several data analysis and reconstruction methods that include a multi-objective search and optimization technique based on a novel application of Pareto genetic algorithms to plasma spectroscopy. The spectroscopic analysis yields the spatial profiles of temperature and density in the core at the collapse of the implosion, and also the extent of shell material mixing into the core. Results are illustrated with data recorded in implosion experiments driven by the OMEGA and Z facilities

  7. Social Network Changes and Life Events across the Life Span: A Meta-Analysis

    Science.gov (United States)

    Wrzus, Cornelia; Hanel, Martha; Wagner, Jenny; Neyer, Franz J.

    2013-01-01

    For researchers and practitioners interested in social relationships, the question remains as to how large social networks typically are, and how their size and composition change across adulthood. On the basis of predictions of socioemotional selectivity theory and social convoy theory, we conducted a meta-analysis on age-related social network…

  8. Closing the Gap: Measuring the Social Identity of Terrorists

    National Research Council Canada - National Science Library

    Ludwick, Keith W

    2008-01-01

    .... However, using two well-established theories from social psychology, Social Identity Theory and Social Distance Theory, allows the development of a practical model to develop a social profile of a terrorist group...

  9. Distinctive personality profiles of fibromyalgia and chronic fatigue syndrome patients

    Directory of Open Access Journals (Sweden)

    Jacob N. Ablin

    2016-09-01

    Full Text Available Objective The current study is an innovative exploratory investigation, aiming at identifying differences in personality profiles within Fibromyalgia Syndrome (FMS and Chronic Fatigue Syndrome (CFS patients. Method In total, 344 participants (309 female, 35 male reported suffering from FMS and/or CFS and consented to participate in the study. Participants were recruited at an Israeli FM/CFS patient meeting held in May 2013, and through an announcement posted on several social networks. Participants were asked to complete a research questionnaire, which included FMS criteria and severity scales, and measures of personality, emotional functioning, positivity, social support and subjective assessment of general health. In total, 204 participants completed the research questionnaire (40.7% attrition rate. Results A cluster analysis produced two distinct clusters, which differed significantly on psychological variables, but did not differ on demographic variables or illness severity. As compared to cluster number 2 (N = 107, participants classified into cluster number 1 (N = 97 showed a less adaptive pattern, with higher levels of Harm Avoidance and Alexithymia; higher prevalence of Type D personality; and lower levels of Persistence (PS, Reward dependence (RD, Cooperation, Self-directedness (SD, social support and positivity. Conclusion The significant pattern of results indicates at least two distinct personality profiles of FM and CFS patients. Findings from this research may help improve the evaluation and treatment of FM and CFS patients, based on each patient’s unique needs, psychological resources and weaknesses, as proposed by the current trend of personalized medicine.

  10. Social influence and perceptual decision making: a diffusion model analysis.

    Science.gov (United States)

    Germar, Markus; Schlemmer, Alexander; Krug, Kristine; Voss, Andreas; Mojzisch, Andreas

    2014-02-01

    Classic studies on social influence used simple perceptual decision-making tasks to examine how the opinions of others change individuals' judgments. Since then, one of the most fundamental questions in social psychology has been whether social influence can alter basic perceptual processes. To address this issue, we used a diffusion model analysis. Diffusion models provide a stochastic approach for separating the cognitive processes underlying speeded binary decisions. Following this approach, our study is the first to disentangle whether social influence on decision making is due to altering the uptake of available sensory information or due to shifting the decision criteria. In two experiments, we found consistent evidence for the idea that social influence alters the uptake of available sensory evidence. By contrast, participants did not adjust their decision criteria.

  11. The Usage of Social Areas in University Campus Systems

    Directory of Open Access Journals (Sweden)

    Begüm ERÇEVİK

    2011-10-01

    Full Text Available Universities aim to help students gain occupational skills through academic training and practice; to produce knowledge by carrying out applications and investigations which have scientific, social and economic bases, to prepare young people for com munity life by giving them duties and responsibilities; and finally, to make contributions to the social and educational level of the community. Moreover social and cultural activity areas in uni versities in which, apart from lecture halls, students spend most of their time during their educational, lives, are of great impor tance for social interaction. Social spaces, whose educational and awareness-raising role of preparing the youth for community life, are taken into account and of these areas, about their use of student assessment analysis is aimed. During this analysis, student views were investigated and compared at different university campus locations. Bahçeşehir University Beşiktaş Campus as a town university, Yıldız Teknik University Yıldız Merkez Campus as an in-town campus, Koç University Sarıyer Campus as a out-oftown campus were chosen as locations for the study. Statistical analysis is applied to the data obtained from the questionaries completed by students in the chosen universities. Following such investigations, findings relating to the sufficiency of social and cultural activity areas in campuses, their occupancy and reachability; and the user profile of the activity areas and town usage as a cultural area are obtained and evaluated.

  12. Multilayer analysis using SIMS: interpretation of profiles at interfaces

    International Nuclear Information System (INIS)

    Aucouturier, M.; Grattepain, C.; Tromson-Carli, A.; Barbe, M.; Cohen-Solal, G.; Marfaing, Y.; Chevrier, F.; Gall, H. le; Imhoff, D.

    1993-01-01

    Secondary ion mass spectrometry (SIMS) is a well adapted analytical method for the chemical characterization of concentration profiles in layered or multilayered materials, particularly concerning the more or less abrupt interfaces bounding those layers. It is known that the fiability and accuracy of the interface characterization may be affected by methodological factors, which alter the depth resolution such as: macroscopical or microscopical initial roughness of the substrate and/or of the layers, ion-induced roughening, effects of differential sputtering of the various elements, transitory stage of the primary ion beam implantation, ion beam induced accelerated diffusion, balistic mixing or segregation; etc.. This communication describes several examples of SIMS analysis performed on metal multilayers (Co/Cu) and on epitaxial semiconductor layers (CdTe/GaAs), focussing the interest on the particular analytical problems raised by the initial roughness and the ion induced roughening effect. The interpretation of the measured profiles, the influence of analytical parameters (such as the nature of the primary ion beam, sputtering conditions, detected ion species), and the limitations of profilometry roughness measurements, are discussed. Solutions are proposed in order to improve the depth resolution of interface characterization, including a tentative modelization of roughness effects. (orig.)

  13. Problematic Social Media Use: Results from a Large-Scale Nationally Representative Adolescent Sample.

    Science.gov (United States)

    Bányai, Fanni; Zsila, Ágnes; Király, Orsolya; Maraz, Aniko; Elekes, Zsuzsanna; Griffiths, Mark D; Andreassen, Cecilie Schou; Demetrovics, Zsolt

    2017-01-01

    Despite social media use being one of the most popular activities among adolescents, prevalence estimates among teenage samples of social media (problematic) use are lacking in the field. The present study surveyed a nationally representative Hungarian sample comprising 5,961 adolescents as part of the European School Survey Project on Alcohol and Other Drugs (ESPAD). Using the Bergen Social Media Addiction Scale (BSMAS) and based on latent profile analysis, 4.5% of the adolescents belonged to the at-risk group, and reported low self-esteem, high level of depression symptoms, and elevated social media use. Results also demonstrated that BSMAS has appropriate psychometric properties. It is concluded that adolescents at-risk of problematic social media use should be targeted by school-based prevention and intervention programs.

  14. Social attention in ASD: A review and meta-analysis of eye-tracking studies.

    Science.gov (United States)

    Chita-Tegmark, Meia

    2016-01-01

    Determining whether social attention is reduced in Autism Spectrum Disorder (ASD) and what factors influence social attention is important to our theoretical understanding of developmental trajectories of ASD and to designing targeted interventions for ASD. This meta-analysis examines data from 38 articles that used eye-tracking methods to compare individuals with ASD and TD controls. In this paper, the impact of eight factors on the size of the effect for the difference in social attention between these two groups are evaluated: age, non-verbal IQ matching, verbal IQ matching, motion, social content, ecological validity, audio input and attention bids. Results show that individuals with ASD spend less time attending to social stimuli than typically developing (TD) controls, with a mean effect size of 0.55. Social attention in ASD was most impacted when stimuli had a high social content (showed more than one person). This meta-analysis provides an opportunity to survey the eye-tracking research on social attention in ASD and to outline potential future research directions, more specifically research of social attention in the context of stimuli with high social content. Copyright © 2015 Elsevier Ltd. All rights reserved.

  15. Examination of social networking professionalism among dental and dental hygiene students.

    Science.gov (United States)

    Henry, Rachel K; Molnar, Amy L

    2013-11-01

    Becoming a dental professional requires one to apply ethical decision making skills and demonstrate high standards of professionalism in practice, including the way professionals present themselves to the public. With social media as an evergrowing part of personal and professional communications, this study aimed to determine the accessibility, amount, and type of unprofessional content on Facebook profiles of dental hygiene and dental students in a college of dentistry. The authors evaluated the online profiles of all 499 dental and dental hygiene students at The Ohio State University using objective measures that included existence of a profile, current privacy settings, and access to personally identifiable information. A sample of profiles were evaluated for unprofessional content including photos, comments, and wall posts. The majority of these students were found to use Facebook, with 61 percent having Facebook profiles. Dental hygiene students were more likely to have a Facebook profile than were dental students: 72.6 percent and 59.1 percent, respectively (p=0.027). The majority of the students' profiles had some form of privacy setting enabled, with only 4 percent being entirely open to the public. Fewer than 2 percent of the students allowed non-friends access to personal information. Based on in-depth analysis of the profiles, fourteen (5.8 percent) instances of unprofessionalism were recorded; the most common unprofessional content involved substance abuse. This study found that these dental and dental hygiene students frequently possessed an identifiable Facebook account and nearly half had some kind of personal information on their profile that could potentially be shared with the public. In some instances, the students gave patients, faculty, and potential employers access to content that is not reflective of a dental professional. Academic institutions should consider implementing policies that bring awareness to and address the use of social media

  16. Analysis of cohesion and collective efficacy profiles for the performance of soccer players.

    Science.gov (United States)

    Leo, Francisco M; Sánchez-Miguel, Pedro A; Sánchez-Oliva, David; Amado, Diana; García-Calvo, Tomás

    2013-12-18

    The principal aims of the study were to define different profiles of cohesion and perceived efficacy in soccer players and to measure their differences in performance. The subjects were 235 soccer players in the under-18 category who played in the National League in Spain and 15 coaches whose ages ranged from 29 to 45 years. Diverse instruments to assess cohesion, perceived efficacy, and expectations of success were used in the study. Moreover, we measured playing time and performance. The results of the study proved the existence of four cohesion and efficacy profiles that presented significant differences in expectations of success, playing time, and performance. Furthermore, significant differences were found in the distribution of players in the teams as a function of performance. The main conclusion of this study is that soccer players with higher cohesion and collective efficacy levels belonged to teams that completed the season at the top-level classification. In contrast, athletes with low cohesion and collective efficacy usually played in unsuccessful teams. Coaches and sports psychologists are encouraged to promote both social and task cohesion and collective efficacy to enhance team performance.

  17. Profil Penyesuaian Sosial Remaja yang Mengalami Kecanduan Mengakses Facebook

    OpenAIRE

    Nurhusni, Pia Amanda

    2017-01-01

    Social Adjustment Profiles Adolescence Who Have Access addicted to Facebook. The process of social adjustment of students who disrupted it can cause problems in the fulfillment of their needs. The research objective of this thesis to obtain social adjustment eighth grade students of SMP Negeri 15 Bandung who had access facebook addiction. The study used descriptive research methods. Questionnaire used was a questionnaire addiction accessing facebook and social adjustment. The results: (1) Add...

  18. Grandmaster: Interactive text-based analytics of social media

    Energy Technology Data Exchange (ETDEWEB)

    Fabian, Nathan D.; Davis, Warren Leon,; Raybourn, Elaine M.; Lakkaraju, Kiran; Whetzel, Jonathan

    2015-11-01

    People use social media resources like Twitter, Facebook, forums etc. to share and discuss various activities or topics. By aggregating topic trends across many individuals using these services, we seek to construct a richer profile of a person’s activities and interests as well as provide a broader context of those activities. This profile may then be used in a variety of ways to understand groups as a collection of interests and affinities and an individual’s participation in those groups. Our approach considers that much of these data will be unstructured, free-form text. By analyzing free-form text directly, we may be able to gain an implicit grouping of individuals with shared interests based on shared conversation, and not on explicit social software linking them. In this paper, we discuss a proof-of-concept application called Grandmaster built to pull short sections of text, a person’s comments or Twitter posts, together by analysis and visualization to allow a gestalt understanding of the full collection of all individuals: how groups are similar and how they differ, based on their text inputs.

  19. Online social networks that connect users to physical activity partners: a review and descriptive analysis.

    Science.gov (United States)

    Nakhasi, Atul; Shen, Album Xiaotian; Passarella, Ralph Joseph; Appel, Lawrence J; Anderson, Cheryl Am

    2014-06-16

    The US Centers for Disease Control and Prevention have identified a lack of encouragement, support, or companionship from family and friends as a major barrier to physical activity. To overcome this barrier, online social networks are now actively leveraging principles of companion social support in novel ways. The aim was to evaluate the functionality, features, and usability of existing online social networks which seek to increase physical activity and fitness among users by connecting them to physical activity partners, not just online, but also face-to-face. In September 2012, we used 3 major databases to identify the website addresses for relevant online social networks. We conducted a Google search using 8 unique keyword combinations: the common keyword "find" coupled with 1 of 4 prefix terms "health," "fitness," "workout," or "physical" coupled with 1 of 2 stem terms "activity partners" or "activity buddies." We also searched 2 prominent technology start-up news sites, TechCrunch and Y Combinator, using 2 unique keyword combinations: the common keyword "find" coupled with 1 of 2 stem terms "activity partners" and "activity buddies." Sites were defined as online social health activity networks if they had the ability to (1) actively find physical activity partners or activities for the user, (2) offer dynamic, real-time tracking or sharing of social activities, and (3) provide virtual profiles to users. We excluded from our analysis sites that were not Web-based, publicly available, in English, or free. Of the 360 initial search results, we identified 13 websites that met our complete criteria of an online social health activity network. Features such as physical activity creation (13/13, 100%) and private messaging (12/13, 92%) appeared almost universally among these websites. However, integration with Web 2.0 technologies such as Facebook and Twitter (9/13, 69%) and the option of direct event joining (8/13, 62%) were not as universally present. Largely

  20. Web User Profiling Based on Browsing Behavior Analysis

    OpenAIRE

    Fan , Xiao-Xi; Chow , Kam-Pui; Xu , Fei

    2014-01-01

    Part 1: Internet Crime Investigations; International audience; Determining the source of criminal activity requires a reliable means to estimate a criminal’s identity. One way to do this is to use web browsing history to build a profile of an anonymous user. Since an individual’s web use is unique, matching the web use profile to known samples provides a means to identify an unknown user. This paper describes a model for web user profiling and identification. Two aspects of browsing behavior ...

  1. ANALYSIS OF MOTIVATIONAL PROFILES OF SATISFACTION AND IMPORTANCE OF PHYSICAL EDUCATION IN HIGH SCHOOL ADOLESCENTS

    Directory of Open Access Journals (Sweden)

    Antonio Granero-Gallegos

    2012-12-01

    Full Text Available he purpose of this study was to analyze the motivational profiles of satisfaction with and importance of physical education in high school students and its relation with gender and the practice of sport. The sample comprised 2002 students aged from 12 to 19 who completed the Sport Motivation Scale (Núñez et al., 2006, the Perception of Success Scale (Martínez et al., 2006, the Sport Satisfaction Instrument (Baena-Extremera et al., 2012 and the Importance of Physical Education Scale (Moreno et al., 2009. Descriptive analyzes, correlations between the scales, a cluster analysis for profiles, and a MANOVA were conducted to examine differences by gender. Three clusters (profiles were identified. The first profile identified was "moderate" motivation (n = 463 and was associated with boys who practice physical activity for less than 3 hours per week. The second profile identified was "low" motivation (n = 545 and was associated mainly with girls who practice physical activity for less than 3 hours per week. And lastly the third profile identified was "high" motivation (n = 910, which was found to be greater in boys who practiced physical exercise for more than 3 hours a week

  2. Usage of Social Network Analysis (Sna in Crisis Management

    Directory of Open Access Journals (Sweden)

    Güreşci Hakan

    2016-06-01

    Full Text Available Social systems are complex structures that consist of different sub-systems. Therefore, understanding social systems is more difficult than comprehending electronic or mechanical systems. What makes social systems more complex than other systems is that society is not simply the sum of each individual in the society. In the current global system, the countries, which have become small villages, try to meet national security needs by converting the unknown to known and identifying the correlation among political, military, social and economic events. The current crisis management concepts are conducted through systematic approaches. Besides, the management of social, economic and political crises need to be conducted in a holistic approach covering all sub-systems. At this point, the function of Social Network Analysis (SNA emerges. SNA, which forms the main subject of this paper, is a tool for examining the structure of a crisis through correlating the sub-elements. The aim of this study is to show how SNA can be used in crisis management. First, SNA is performed on a generic crisis situation and the results are presented. Then, the additional critical data requirements are put forward to manage the crisis effectively.

  3. A DESIGN OF SOCIAL MEDIA ANALYSIS SYSTEM BASED ON MOBILE PLATFORMS

    OpenAIRE

    Alaybeyoglu, Aysegul; Yavuz, Levent

    2017-01-01

    Alongwith the developing technology, social media technologies have becomewidespread and the number of internet users has increased rapidly. In addition,social media platforms have become very popular and the number of active socialmedia users has increased considerably. As a result of the increased use ofsocial media, there has been a trend towards mobile platforms. In this paper, adesign of a social media analysis system is developed using mobile platformsbased on Android. By this way, impo...

  4. Social Media as a Communication Support for Persons with Mild Acquired Cognitive Impairment: A Social Network Analysis Study.

    Science.gov (United States)

    Eghdam, Aboozar; Hamidi, Ulrika; Bartfai, Aniko; Koch, Sabine

    2017-01-01

    This study was conducted as a social network analysis of a Facebook group for Swedish speaking persons (1310 members) with perceived brain fatigue after an illness or injury to the brain to address the lack of research examining social media and the potential value of on-line support for persons with mild acquired cognitive impairment.

  5. In vivo transcriptional profile analysis reveals RNA splicing and chromatin remodeling as prominent processes for adult neurogenesis.

    Science.gov (United States)

    Lim, Daniel A; Suárez-Fariñas, Mayte; Naef, Felix; Hacker, Coleen R; Menn, Benedicte; Takebayashi, Hirohide; Magnasco, Marcelo; Patil, Nila; Alvarez-Buylla, Arturo

    2006-01-01

    Neural stem cells and neurogenesis persist in the adult mammalian brain subventricular zone (SVZ). Cells born in the rodent SVZ migrate to the olfactory bulb (Ob) where they differentiate into interneurons. To determine the gene expression and functional profile of SVZ neurogenesis, we performed three complementary sets of transcriptional analysis experiments using Affymetrix GeneChips: (1) comparison of adult mouse SVZ and Ob gene expression profiles with those of the striatum, cerebral cortex, and hippocampus; (2) profiling of SVZ stem cells and ependyma isolated by fluorescent-activated cell sorting (FACS); and (3) analysis of gene expression changes during in vivo SVZ regeneration after anti-mitotic treatment. Gene Ontology (GO) analysis of data from these three separate approaches showed that in adult SVZ neurogenesis, RNA splicing and chromatin remodeling are biological processes as statistically significant as cell proliferation, transcription, and neurogenesis. In non-neurogenic brain regions, RNA splicing and chromatin remodeling were not prominent processes. Fourteen mRNA splicing factors including Sf3b1, Sfrs2, Lsm4, and Khdrbs1/Sam68 were detected along with 9 chromatin remodeling genes including Mll, Bmi1, Smarcad1, Baf53a, and Hat1. We validated the transcriptional profile data with Northern blot analysis and in situ hybridization. The data greatly expand the catalogue of cell cycle components, transcription factors, and migration genes for adult SVZ neurogenesis and reveal RNA splicing and chromatin remodeling as prominent biological processes for these germinal cells.

  6. Analyzing Social Interactions: Promises and Challenges of Cross Recurrence Quantification Analysis

    DEFF Research Database (Denmark)

    Fusaroli, Riccardo; Konvalinka, Ivana; Wallot, Sebastian

    2014-01-01

    The scientific investigation of social interactions presents substantial challenges: interacting agents engage each other at many different levels and timescales (motor and physiological coordination, joint attention, linguistic exchanges, etc.), often making their behaviors interdependent in non......-linear ways. In this paper we review the current use of Cross Recurrence Quantification Analysis (CRQA) in the analysis of social interactions, and assess its potential and challenges. We argue that the method can sensitively grasp the dynamics of human interactions, and that it has started producing valuable...

  7. Psychobehavioral Profiles to Assist Tailoring of Interventions for Patients With Hypertension: Latent Profile Analysis.

    Science.gov (United States)

    Tanaka, Rika; Nolan, Robert P

    2018-05-11

    Practice guidelines advocate combining pharmacotherapy with lifestyle counseling for patients with hypertension. To allow for appropriate tailoring of interventions to meet individual patient needs, a comprehensive understanding of baseline patient characteristics is essential. However, few studies have empirically assessed behavioral profiles of hypertensive patients in Web-based lifestyle counseling programs. The objectives of this study were to (1) specify baseline psychobehavioral profiles of patients with hypertension who were enrolled in a Web-based lifestyle counseling trial, and (2) examine mean differences among the identified profile groups in demographics, psychological distress, self-reported self-care behaviors, physiological outcomes, and program engagement to determine prognostic implications. Participants (N=264; mean age 57.5 years; 154/264, 58.3% female; 193/264, 73.1% white) were recruited into a longitudinal, double-blind, randomized controlled trial, designed to evaluate an online lifestyle intervention for hypertensive patients. A series of latent profile analyses identified psychobehavioral profiles, indicated by baseline measures of mood, motivation, and health behaviors. Mean differences between profile groups were then explored. A 2-class solution provided the best model fit (the Bayesian information criterion (BIC) is 10,133.11; sample-size adjusted BIC is 10,006.54; Lo-Mendell-Rubin likelihood ratio test is 65.56, P=.001). The 2 profile groups were (1) adaptive adjustment, marked by low distress, high motivation, and somewhat satisfactory engagement in health behaviors and (2) affectively distressed, marked by clinically significant distress. At baseline, on average, affectively distressed patients had lower income, higher body mass index, and endorsed higher stress compared with their adaptive adjustment counterparts. At 12-months post intervention, treatment effects were sustained for systolic blood pressure and Framingham risk index

  8. Comparing Longitudinal Profile Patterns of Mathematics and Reading in Early Child Longitudinal Study, Kindergarten: The Profile Analysis via Multidimensional Scaling (PAMS) Approach

    Science.gov (United States)

    Kim, Se-Kang

    2010-01-01

    The aim of the study is to compare longitudinal patterns from Mathematics and Reading data from the direct child assessment of Early Child Longitudinal Study, Kindergarten (ECLS-K, US Department of Education, National Center for Education Statistics 2006), utilizing Profile Analysis via Multidimensional Scaling (PAMS). PAMS has been used initially…

  9. Stream gradient Hotspot and Cluster Analysis (SL-HCA) for improving the longitudinal profiles metrics

    Science.gov (United States)

    Troiani, Francesco; Piacentini, Daniela; Seta Marta, Della

    2016-04-01

    Many researches successfully focused on stream longitudinal profiles analysis through Stream Length-gradient (SL) index for detecting, at different spatial scales, either tectonic structures or hillslope processes. The analysis and interpretation of spatial variability of SL values, both at a regional and local scale, is often complicated due to the concomitance of different factors generating SL anomalies, including the bedrock composition. The creation of lithologically-filtered SL maps is often problematic in areas where homogeneously surveyed geological maps, with a sufficient resolution are unavailable. Moreover, both the SL map classification and the unbiased anomaly detection are rather difficult. For instance, which is the best threshold to define the anomalous SL values? Further, is there a minimum along-channel extent of anomalous SL values for objectively defining over-steeped segments on long-profiles? This research investigates the relevance and potential of a new approach based on Hotspot and Cluster Analysis of SL values (SL-HCA) for detecting knickzones on long-profiles at a regional scale and for fine-tuning the interpretation of their geological-geomorphological meaning. We developed this procedure within a 2800 km2-wide area located in the mountainous sector of the Northern Apennines of Italy. The Getis-Ord Gi∗ statistic is applied for the SL-HCA approach. The value of SL, calculated starting from a 5x5 m Digital Elevation Model, is used as weighting factor and the Gi∗ index is calculated for each 50 m-long channel segment for the whole fluvial system. The outcomes indicate that high positive Gi∗ values imply the clustering of SL anomalies, thus the occurrence of knickzones on the stream long-profiles. Results show that high and very high Gi* values (i.e. values beyond two standard deviations from the mean) correlate well with the principal knickzones detected with existent lithologically-filtered SL maps. Field checks and remote sensing

  10. A meta-analysis of social networking online and social capital

    NARCIS (Netherlands)

    Liu, Dong; Ainsworth, Sarah E.; Baumeister, Roy F.

    2016-01-01

    Social networking sites offer new avenues for interpersonal communication that may enable people to build social capital. The meta-analyses reported in this paper evaluated the relationship between social network site (SNS) use and 2 types of social capital: bridging social capital and bonding

  11. Mindfulness and Psychological Health Outcomes: A Latent Profile Analysis among Military Personnel and College Students.

    Science.gov (United States)

    Bravo, Adrian J; Pearson, Matthew R; Kelley, Michelle L

    2018-02-01

    Previous research on trait mindfulness facets using person-centered analyses (e.g., latent profile analysis [LPA]) has identified four distinct mindfulness profiles among college students: a high mindfulness group (high on all facets of the Five-Factor Mindfulness Questionnaire [FFMQ]), a judgmentally observing group (highest on observing, but low on non-judging of inner experience and acting with awareness), a non-judgmentally aware group (high on non-judging of inner experience and acting with awareness, but very low on observing), and a low mindfulness group (low on all facets of the FFMQ). In the present study, we used LPA to identify distinct mindfulness profiles in a community based sample of U.S. military personnel (majority veterans; n = 407) and non-military college students ( n = 310) and compare these profiles on symptoms of psychological health outcomes (e.g., suicidality, PTSD, anxiety, rumination) and percentage of participants exceeding clinically significant cut-offs for depressive symptoms, substance use, and alcohol use. In the subsample of college students, we replicated previous research and found four distinct mindfulness profiles; however, in the military subsample we found three distinct mindfulness profiles (a combined low mindfulness/judgmentally observing class). In both subsamples, we found that the most adaptive profile was the "high mindfulness" profile (i.e., demonstrated the lowest scores on all psychological symptoms and the lowest probability of exceeding clinical cut-offs). Based on these findings, we purport that the comprehensive examination of an individual's mindfulness profile could help clinicians tailor interventions/treatments that capitalize on individual's specific strengths and work to address their specific deficits.

  12. The Social Ontology of the Film "Avatar." Anthropological Analysis

    Directory of Open Access Journals (Sweden)

    Marija Krstić

    2016-02-01

    Full Text Available Review of a book by Nina Kulenović. The Social Ontology of the Film "Avatar." Anthropological Analysis. 2011. Belgrade: University of Belgrade - Faculty of Philosophy, Department of Ethnology and Anthropology

  13. Cognitive Profile of Turner Syndrome

    Science.gov (United States)

    Hong, David; Kent, Jamie Scaletta; Kesler, Shelli

    2009-01-01

    Turner syndrome (TS) is a relatively common neurogenetic disorder characterized by complete or partial monosomy-X in a phenotypic female. TS is associated with a cognitive profile that typically includes intact intellectual function and verbal abilities with relative weaknesses in visual-spatial, executive, and social cognitive domains. In this…

  14. The fit of an X-ray diffraction profile by Fourier analysis

    International Nuclear Information System (INIS)

    Bourniquel, B.; Feron, J.

    1985-01-01

    The fast Fourier transform algorithm commonly used for line profile analysis requires a list of values of the diffracted intensity with constant sintheta step; raw data are usually obtained at constant 2theta step; to interpolate between the measured values an analytic expression of the profile function is very useful. Statistical estimation is used to fit an analytic function to data; the only assumption made is the continuity of this function and no critical initialization is needed. Three different expressions are used: a Fourier sum for the peak and two polynomials of a suitable variable for the tails; the algorithm provides continuity for the function and its first derivative. Simulated examples using a Lorentzian and a Gaussian function are given and several criteria of goodness of fit are examined. The program runs on a PDP 11/03 digital computer with only 45 kbytes available memory. (orig.)

  15. SOCIAL EXCLUSION AS AN OBJECT OF ECONOMIC ANALYSIS

    Directory of Open Access Journals (Sweden)

    Z. Halushka

    2014-06-01

    Full Text Available In the article essence and forms of display of social exception of separate citizens and certain layers of population are certain as the socioeconomic phenomenon. Theoretical principles and methodology of estimation of the phenomenon of social exception are analyzed. Certain characteristic lines of social exception: subzero even consumptions and profit of individuals or groups; a limit access is to the public mechanisms of increase of welfare; a mainly passive type of cooperating is with society. Attention is accented on a defect for the individuals of row of rights, limit nature of access to the institutes that distribute resources, to the labor-market. Poverty is certain the main category of social exception. A concept "circles of poverty" and mechanisms of its existence are reasonable. Other displays of social exception-direct violation of base human rights are examined on quality education, on medical services and kind health, on the acceptable standard of living, on access to cultural acquisition, on defense of the interests and on the whole on participating in economic, social, in a civilized manner, political life of country. Cited data about part of torn away housekeeping of Ukraine on separate signs. The analysis of distribution of housekeeping after the amount of the accumulated signs of the social tearing away gave an opportunity to set a limit after that the social tearing away begins brightly to show up, at the level of 5 signs. It is certain the limit of the sharp tearing away. The second degree of tearing away – critical – answers a presence 7thsigns. At this level in Ukraine there are 37,7. That's far more than those, who are considered poor on a relative national criterion (24,0. It is set that conception of social exception shows the "horizontal cut" of the system of social relations and place of individual, layer, group and others like that in this system, certain on certain signs. The necessity of the use of

  16. Social costs of road crashes : an international analysis.

    NARCIS (Netherlands)

    Wijnen, W. & Stipdonk, H.L.

    2016-01-01

    This paper provides an international overview of the most recent estimates of the social costs of road crashes: total costs, value per casualty and breakdown in cost components. The analysis is based on publications about the national costs of road crashes of 17 countries, of which ten high income

  17. Researchers' attitudes towards the use of social networking sites

    OpenAIRE

    Greifeneder, E.; Pontis, S.; Blandford, A. E.; Attalla, H.; Neal, D.; Schlebbe, K.

    2018-01-01

    Purpose: The purpose of this paper is to better understand why many researchers do not have a profile on social networking sites (SNS), and whether this is the result of conscious decisions. / Design/methodology/approach: Thematic analysis was conducted on a large qualitative data set from researchers across three levels of seniority, four countries and four disciplines to explore their attitudes toward and experiences with SNS. / Findings: The study found much greater scepticism toward adopt...

  18. Multifractal analysis of vertical profiles of soil penetration resistance at the field scale

    Directory of Open Access Journals (Sweden)

    G. M. Siqueira

    2013-07-01

    Full Text Available Soil penetration resistance (PR is widely used as an indirect indicator of soil strength. Soil PR is linked to basic soil properties and correlated to root growth and plant production, and as such it is extensively used as a practical tool for assessing soil compaction and to evaluate the effects of soil management. This study investigates how results from multifractal analysis can quantify key elements of depth-dependent soil PR profiles and how this information can be used at the field scale. We analysed multifractality of 50 PR vertical profiles, measured from 0 to 60 cm depth and randomly located on a 6.5 ha sugar cane field in northeastern Brazil. The scaling property of each profile was typified by singularity, and Rényi spectra estimated by the method of moments. The Hurst exponent was used to parameterize the autocorrelation of the vertical PR data sets. The singularity and Rènyi spectra showed that the vertical PR data sets exhibited a well-defined multifractal structure. Hurst exponent values were close to 1, ranging from 0.944 to 0.988, indicating strong persistence in PR variation with soil depth. Also, the Hurst exponent was negatively and significantly correlated to coefficient of variation (CV, skewness and maximum values of the depth-dependent PR. Multifractal analysis added valuable information to describe the spatial arrangement of depth-dependent penetrometer data sets, which was not taken into account by classical statistical indices. Multifractal parameters were mapped over the experimental field and compared with mean and maximum values of PR. Combination of spatial variability survey and multifractal analysis appear to be useful to manage soil compaction.

  19. Multifractal analysis of vertical profiles of soil penetration resistance at the field scale

    Science.gov (United States)

    Siqueira, G. M.; Silva, E. F. F.; Montenegro, A. A. A.; Vidal Vázquez, E.; Paz-Ferreiro, J.

    2013-07-01

    Soil penetration resistance (PR) is widely used as an indirect indicator of soil strength. Soil PR is linked to basic soil properties and correlated to root growth and plant production, and as such it is extensively used as a practical tool for assessing soil compaction and to evaluate the effects of soil management. This study investigates how results from multifractal analysis can quantify key elements of depth-dependent soil PR profiles and how this information can be used at the field scale. We analysed multifractality of 50 PR vertical profiles, measured from 0 to 60 cm depth and randomly located on a 6.5 ha sugar cane field in northeastern Brazil. The scaling property of each profile was typified by singularity, and Rényi spectra estimated by the method of moments. The Hurst exponent was used to parameterize the autocorrelation of the vertical PR data sets. The singularity and Rènyi spectra showed that the vertical PR data sets exhibited a well-defined multifractal structure. Hurst exponent values were close to 1, ranging from 0.944 to 0.988, indicating strong persistence in PR variation with soil depth. Also, the Hurst exponent was negatively and significantly correlated to coefficient of variation (CV), skewness and maximum values of the depth-dependent PR. Multifractal analysis added valuable information to describe the spatial arrangement of depth-dependent penetrometer data sets, which was not taken into account by classical statistical indices. Multifractal parameters were mapped over the experimental field and compared with mean and maximum values of PR. Combination of spatial variability survey and multifractal analysis appear to be useful to manage soil compaction.

  20. Depth profile and interface analysis in the nm-range

    International Nuclear Information System (INIS)

    Oswald, S.; Reiche, R.; Zier, M.; Baunack, S.; Wetzig, K.

    2005-01-01

    In modern technology, thin films are shrinking more and more to a thickness of few nanometers. Analytical investigations of such thin films using the traditional sputter depth profiling, sputtering in combination with surface-analytical techniques, have limitations due to physical effects especially for very thin films. These limitations are pointed out and some alternatives are discussed. Non-destructive analysis with angle-resolved X-ray photoelectron spectroscopy is demonstrated to be a useful method for such investigations. Both qualitative and quantitative results can be obtained even for complex layer structures. Nevertheless, there are also limitations of this method and some alternatives or complementary methods are considered